chore(prebuilt): fix ruff lint in tool_node.py

Remove unused `functools` import; drop redundant string annotation on `_INJECTED_ARGS_CACHE` (already covered by `from __future__ import annotations`). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
perf(prebuilt): cache _get_all_injected_args by tool object identity
2026-10-02 06:25:09 +02:00 · 2026-04-22 16:13:24 -04:00 · 2026-04-22 16:13:24 -04:00 · 2026-04-22 16:13:24 -04:00 · 2026-04-22 14:35:48 -04:00 · 2026-04-22 14:12:57 -04:00
99 changed files with 12065 additions and 2222 deletions
@@ -116,8 +116,8 @@ jobs:
          timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
          echo "Finished starting up langgraph-test-h"
          LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
-          if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
-            echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
+          if [ "$LANGGRAPH_VERSION" != "1.1.5" ]; then
+            echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
            exit 1
          fi
          LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
@@ -136,3 +136,33 @@ jobs:
        working-directory: libs/cli/examples/graph_prerelease_reqs_fail
        run: |
          langgraph build -t langgraph-test-i || [ $? -eq 1 ]
+
+      - name: Build uv simple service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        working-directory: libs/cli/uv-examples/simple
+        run: |
+          langgraph build -t langgraph-test-uv-simple
+      - name: Test uv simple service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/uv-examples/simple
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
+          cp .env.example .env
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple
+
+      - name: Build uv monorepo service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        working-directory: libs/cli/uv-examples/monorepo/apps/agent
+        run: |
+          langgraph build -t langgraph-test-uv-monorepo
+      - name: Test uv monorepo service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/uv-examples/monorepo/apps/agent
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
+          cp .env.example .env
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo
@@ -37,7 +37,7 @@ jobs:
        run: python docs/generate_redirects.py

      - name: Setup Pages
-        uses: actions/configure-pages@v5
+        uses: actions/configure-pages@v6

      - name: Upload artifact
        uses: actions/upload-pages-artifact@v4
@@ -100,3 +100,4 @@ dmypy.json
 .turbo
 .editorconfig
 .scratch
+.worktrees/
@@ -339,37 +339,6 @@ async def test_list_metadata_custom_keys(
    assert results[0].metadata["run_id"] == "run-abc"


-async def test_list_global_search(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """alist(None, filter=...) searches across all threads."""
-    tid1, tid2 = str(uuid4()), str(uuid4())
-
-    # Use a unique marker so we don't collide with other tests' data
-    marker = str(uuid4())
-
-    cfg1 = generate_config(tid1)
-    cp1 = generate_checkpoint()
-    await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
-
-    cfg2 = generate_config(tid2)
-    cp2 = generate_checkpoint()
-    await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
-
-    # Search across all threads with filter
-    results = []
-    async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
-        results.append(tup)
-    assert len(results) == 1
-    assert results[0].config["configurable"]["thread_id"] == tid1
-
-    # Search with marker only — should find both
-    results = []
-    async for tup in saver.alist(None, filter={"marker": marker}):
-        results.append(tup)
-    assert len(results) == 2
-
-
 ALL_LIST_TESTS = [
    test_list_all,
    test_list_by_thread,
@@ -380,7 +349,6 @@ ALL_LIST_TESTS = [
    test_list_metadata_filter_multiple_keys,
    test_list_metadata_filter_no_match,
    test_list_metadata_custom_keys,
-    test_list_global_search,
    test_list_before,
    test_list_limit,
    test_list_limit_plus_before,
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint-conformance"
-version = "0.0.1"
+version = "0.0.2"
 description = "Conformance test suite for LangGraph checkpointer implementations."
 authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
 requires-python = ">=3.10"
@@ -231,7 +231,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.22"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -243,9 +243,9 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
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 [[package]]
@@ -263,7 +263,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint-conformance"
-version = "0.0.1"
+version = "0.0.2"
 source = { editable = "." }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -306,7 +306,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.7.3"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -319,9 +319,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
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+    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
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@@ -623,7 +623,7 @@ wheels = [

 [[package]]
 name = "pytest"
-version = "9.0.2"
+version = "9.0.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "colorama", marker = "sys_platform == 'win32'" },
@@ -634,9 +634,9 @@ dependencies = [
    { name = "pygments" },
    { name = "tomli", marker = "python_full_version < '3.11'" },
 ]
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+    { url = "https://files.pythonhosted.org/packages/0e/1a/824b3496d66852ed7d5d68d9787711131552b68dce8835ce9410db32e618/ty-0.0.27-py3-none-win_arm64.whl", hash = "sha256:95bf8d01eb96bb2ba3ffc39faff19da595176448e80871a7b362f4d2de58476c", size = 10376689, upload-time = "2026-03-31T19:07:25.732Z" },
 ]

 [[package]]
@@ -6,6 +6,11 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.

 By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).

+## Security
+
+> [!IMPORTANT]
+> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
+
 ## Usage

 > [!IMPORTANT]
@@ -4,7 +4,7 @@ import threading
 from collections import defaultdict
 from collections.abc import Iterator, Sequence
 from contextlib import contextmanager
-from typing import Any
+from typing import Any, cast

 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -32,7 +32,7 @@ Conn = _internal.Conn  # For backward compatibility
 class PostgresSaver(BasePostgresSaver):
    """Checkpointer that stores checkpoints in a Postgres database."""

-    lock: threading.Lock
+    lock: threading.RLock

    def __init__(
        self,
@@ -48,7 +48,7 @@ class PostgresSaver(BasePostgresSaver):

        self.conn = conn
        self.pipe = pipe
-        self.lock = threading.Lock()
+        self.lock = threading.RLock()
        self.supports_pipeline = Capabilities().has_pipeline()

    @classmethod
@@ -442,6 +442,22 @@ class PostgresSaver(BasePostgresSaver):
            including its configuration, metadata, parent checkpoint (if any),
            and pending writes.
        """
+        from langgraph.checkpoint.base import DeltaChannelSentinel
+
+        channel_values = self._load_blobs(value["channel_values"])
+        if any(isinstance(v, DeltaChannelSentinel) for v in channel_values.values()):
+            cp_config = cast(
+                RunnableConfig,
+                {
+                    "configurable": {
+                        "thread_id": value["thread_id"],
+                        "checkpoint_ns": value["checkpoint_ns"],
+                        "checkpoint_id": value["checkpoint_id"],
+                    }
+                },
+            )
+            with self._cursor() as cur:
+                self._resolve_delta_channels(cp_config, channel_values, cur)
        return CheckpointTuple(
            {
                "configurable": {
@@ -454,7 +470,7 @@ class PostgresSaver(BasePostgresSaver):
                **value["checkpoint"],
                "channel_values": {
                    **(value["checkpoint"].get("channel_values") or {}),
-                    **self._load_blobs(value["channel_values"]),
+                    **channel_values,
                },
            },
            value["metadata"],
@@ -13,6 +13,7 @@ from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
+    DeltaChannelSentinel,
    get_checkpoint_id,
    get_serializable_checkpoint_metadata,
 )
@@ -391,6 +392,58 @@ class AsyncPostgresSaver(BasePostgresSaver):
                async with conn.cursor(binary=True, row_factory=dict_row) as cur:
                    yield cur

+    async def _aget_channel_writes_cur(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+        cur: Any,
+    ) -> list[Any]:
+        """Async version of _get_channel_writes_cur — see sync version for rationale."""
+        await cur.execute(
+            "SELECT checkpoint_id, parent_checkpoint_id FROM checkpoints "
+            "WHERE thread_id = %s AND checkpoint_ns = %s",
+            (thread_id, checkpoint_ns),
+        )
+        parent_map: dict[str, str | None] = {
+            row["checkpoint_id"]: row["parent_checkpoint_id"]
+            for row in await cur.fetchall()
+        }
+        ancestor_ids: list[str] = []
+        cid: str | None = parent_map.get(checkpoint_id)
+        while cid is not None:
+            ancestor_ids.append(cid)
+            cid = parent_map.get(cid)
+        if not ancestor_ids:
+            return []
+        await cur.execute(
+            "SELECT checkpoint_id, type, blob FROM checkpoint_writes "
+            "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
+            "  AND checkpoint_id = ANY(%s) "
+            "ORDER BY task_id, idx",
+            (thread_id, checkpoint_ns, channel, ancestor_ids),
+        )
+        writes_by_cp: dict[str, list[tuple[str, bytes]]] = defaultdict(list)
+        for row in await cur.fetchall():
+            writes_by_cp[row["checkpoint_id"]].append((row["type"], row["blob"]))
+        result = []
+        for cid in reversed(ancestor_ids):
+            for type_tag, blob in writes_by_cp.get(cid, []):
+                result.append(self.serde.loads_typed((type_tag, blob)))
+        return result
+
+    async def aget_channel_writes(
+        self, config: RunnableConfig, channel: str
+    ) -> list[Any]:
+        thread_id = config["configurable"]["thread_id"]
+        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
+        checkpoint_id = config["configurable"]["checkpoint_id"]
+        async with self._cursor() as cur:
+            return await self._aget_channel_writes_cur(
+                thread_id, checkpoint_ns, checkpoint_id, channel, cur
+            )
+
    async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
        """
        Convert a database row into a CheckpointTuple object.
@@ -403,11 +456,31 @@ class AsyncPostgresSaver(BasePostgresSaver):
            including its configuration, metadata, parent checkpoint (if any),
            and pending writes.
        """
+        thread_id = value["thread_id"]
+        checkpoint_ns = value["checkpoint_ns"]
+        checkpoint_id = value["checkpoint_id"]
+        blob_values = value["channel_values"]
+
+        channel_values: dict[str, Any] = {}
+        if blob_values:
+            channel_values = self._load_blobs(blob_values)
+            delta_channels = [
+                ch
+                for ch, v in channel_values.items()
+                if isinstance(v, DeltaChannelSentinel)
+            ]
+            if delta_channels:
+                async with self._cursor() as cur:
+                    for channel in delta_channels:
+                        channel_values[channel] = await self._aget_channel_writes_cur(
+                            thread_id, checkpoint_ns, checkpoint_id, channel, cur
+                        )
+
        return CheckpointTuple(
            {
                "configurable": {
-                    "thread_id": value["thread_id"],
-                    "checkpoint_ns": value["checkpoint_ns"],
+                    "thread_id": thread_id,
+                    "checkpoint_ns": checkpoint_ns,
                    "checkpoint_id": value["checkpoint_id"],
                }
            },
@@ -415,15 +488,15 @@ class AsyncPostgresSaver(BasePostgresSaver):
                **value["checkpoint"],
                "channel_values": {
                    **(value["checkpoint"].get("channel_values") or {}),
-                    **self._load_blobs(value["channel_values"]),
+                    **channel_values,
                },
            },
            value["metadata"],
            (
                {
                    "configurable": {
-                        "thread_id": value["thread_id"],
-                        "checkpoint_ns": value["checkpoint_ns"],
+                        "thread_id": thread_id,
+                        "checkpoint_ns": checkpoint_ns,
                        "checkpoint_id": value["parent_checkpoint_id"],
                    }
                }
@@ -2,6 +2,7 @@ from __future__ import annotations

 import random
 import warnings
+from collections import defaultdict
 from collections.abc import Sequence
 from importlib.metadata import version as get_version
 from typing import Any, cast
@@ -11,6 +12,7 @@ from langgraph.checkpoint.base import (
    WRITES_IDX_MAP,
    BaseCheckpointSaver,
    ChannelVersions,
+    DeltaChannelSentinel,
    get_checkpoint_id,
 )
 from langgraph.checkpoint.serde.types import TASKS
@@ -185,15 +187,78 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
        )

    def _load_blobs(
-        self, blob_values: list[tuple[bytes, bytes, bytes]]
+        self,
+        blob_values: Any,
    ) -> dict[str, Any]:
        if not blob_values:
            return {}
-        return {
-            k.decode(): self.serde.loads_typed((t.decode(), v))
-            for k, t, v in blob_values
-            if t.decode() != "empty"
+        result: dict[str, Any] = {}
+        for k, t, v in blob_values:
+            type_tag = t.decode()
+            if type_tag != "empty":
+                result[k.decode()] = self.serde.loads_typed((type_tag, v))
+        return result
+
+    def _resolve_delta_channels(
+        self,
+        config: RunnableConfig,
+        channel_values: dict[str, Any],
+        cur: Any,
+    ) -> None:
+        for channel, value in list(channel_values.items()):
+            if isinstance(value, DeltaChannelSentinel):
+                channel_values[channel] = self._get_channel_writes_cur(
+                    config["configurable"]["thread_id"],
+                    config["configurable"].get("checkpoint_ns", ""),
+                    config["configurable"]["checkpoint_id"],
+                    channel,
+                    cur,
+                )
+
+    def _get_channel_writes_cur(
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        checkpoint_id: str,
+        channel: str,
+        cur: Any,
+    ) -> list[Any]:
+        """Fetch writes for `channel` across the checkpoint ancestor chain, oldest→newest.
+
+        Two queries:
+        1. Fetch all (checkpoint_id, parent_checkpoint_id) for the thread — cheap, IDs only.
+        2. Walk the ancestor chain in Python, then fetch writes with a plain ANY() filter.
+        """
+        cur.execute(
+            "SELECT checkpoint_id, parent_checkpoint_id FROM checkpoints "
+            "WHERE thread_id = %s AND checkpoint_ns = %s",
+            (thread_id, checkpoint_ns),
+        )
+        parent_map: dict[str, str | None] = {
+            row["checkpoint_id"]: row["parent_checkpoint_id"] for row in cur.fetchall()
        }
+        ancestor_ids: list[str] = []
+        cid: str | None = parent_map.get(checkpoint_id)
+        while cid is not None:
+            ancestor_ids.append(cid)
+            cid = parent_map.get(cid)
+        if not ancestor_ids:
+            return []
+        cur.execute(
+            "SELECT checkpoint_id, type, blob FROM checkpoint_writes "
+            "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
+            "  AND checkpoint_id = ANY(%s) "
+            "ORDER BY task_id, idx",
+            (thread_id, checkpoint_ns, channel, ancestor_ids),
+        )
+        writes_by_cp: dict[str, list[tuple[str, bytes]]] = defaultdict(list)
+        for row in cur.fetchall():
+            writes_by_cp[row["checkpoint_id"]].append((row["type"], row["blob"]))
+        result = []
+        for cid in reversed(ancestor_ids):
+            for type_tag, blob in writes_by_cp.get(cid, []):
+                result.append(self.serde.loads_typed((type_tag, blob)))
+        return result

    def _dump_blobs(
        self,
@@ -371,3 +371,47 @@ async def test_get_checkpoint_no_channel_values(

        checkpoint = await saver.aget_tuple(config)
        assert checkpoint.checkpoint["channel_values"] == {}
+
+
+@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
+async def test_delta_channel_chain_reconstruction(saver_name: str) -> None:
+    """AsyncPostgresSaver reconstructs DeltaChannel chain via point-lookup traversal."""
+    pytest.importorskip(
+        "langgraph.channels.delta", reason="langgraph core not installed"
+    )
+
+    from typing import Annotated
+
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+    from typing_extensions import TypedDict
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def respond(state: State) -> dict:
+        n = len(state["messages"])
+        return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+
+    async with _saver(saver_name) as saver:
+        graph = builder.compile(checkpointer=saver)
+        config = {"configurable": {"thread_id": "diff-channel-test-1"}}
+
+        await graph.ainvoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
+        await graph.ainvoke(
+            {"messages": [HumanMessage(content="there", id="h2")]}, config
+        )
+
+        state = await graph.aget_state(config)
+        msgs = state.values["messages"]
+        assert len(msgs) == 4, f"expected 4, got {len(msgs)}: {msgs}"
+        assert msgs[0].content == "hi"
+        assert msgs[1].content == "reply-1"
+        assert msgs[2].content == "there"
+        assert msgs[3].content == "reply-3"
@@ -240,7 +240,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.22"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -252,14 +252,14 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -382,7 +382,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.6.4"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -392,89 +392,102 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
+    { name = "xxhash" },
    { name = "zstandard" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
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+    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
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+
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 name = "zstandard"
 version = "0.25.0"
@@ -2,6 +2,11 @@

 Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)

+## Security
+
+> [!IMPORTANT]
+> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
+
 ## Usage

 ```python
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-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "../checkpoint" }
 dependencies = [
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@@ -385,7 +385,7 @@ test = [

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+]
+
 [[package]]
 name = "zstandard"
 version = "0.25.0"
@@ -26,6 +26,9 @@ You must pass these when invoking the graph as part of the configurable part of

 `langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.

+> [!IMPORTANT]
+> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
+
 ### Pending writes

 When a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.
@@ -1,11 +1,14 @@
 from __future__ import annotations

 import copy
+import dataclasses
 import logging
+import threading
 from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
 from typing import (  # noqa: UP035
    Any,
    Generic,
+    List,
    Literal,
    NamedTuple,
    TypedDict,
@@ -28,6 +31,21 @@ from langgraph.checkpoint.serde.types import (

 V = TypeVar("V", int, float, str)
 PendingWrite = tuple[str, str, Any]
+
+
+@dataclasses.dataclass
+class DeltaChannelSentinel:
+    """Marker stored in checkpoint_blobs for a DeltaChannel field.
+
+    No data is stored here — the actual per-step writes live in checkpoint_writes
+    and are replayed through the reducer at load time.
+    """
+
+    pass
+
+
+_DELTA_RECONSTRUCTION: threading.local = threading.local()
+
 logger = logging.getLogger(__name__)


@@ -457,6 +475,56 @@ class BaseCheckpointSaver(Generic[V]):
        """
        raise NotImplementedError

+    def get_channel_writes(self, config: RunnableConfig, channel: str) -> List[Any]:  # noqa: UP006
+        """Collect all writes for `channel` across this checkpoint's ancestry, oldest→newest.
+
+        Default implementation walks the full thread history via `list()`. Savers can
+        override with a more efficient query (InMemorySaver and PostgresSaver do this).
+        """
+        # Guard against re-entrant calls: when list() triggers reconstruction which
+        # calls list() again, the inner call returns tuples with DeltaChannelSentinel
+        # in channel_values (which get_channel_writes ignores — it only reads
+        # pending_writes). This breaks the recursion safely.
+        if getattr(_DELTA_RECONSTRUCTION, "active", False):
+            return []
+        _DELTA_RECONSTRUCTION.active = True
+        try:
+            result: list[Any] = []
+            target_id = config["configurable"].get("checkpoint_id")
+            for tup in self.list(config):
+                if tup.config["configurable"].get("checkpoint_id") == target_id:
+                    continue  # skip the checkpoint itself; we want its ancestors' writes
+                if tup.pending_writes:
+                    for _, ch, value in tup.pending_writes:
+                        if ch == channel:
+                            result.append(value)
+            result.reverse()  # list() yields newest→oldest; we want oldest→newest
+            return result
+        finally:
+            _DELTA_RECONSTRUCTION.active = False
+
+    async def aget_channel_writes(
+        self, config: RunnableConfig, channel: str
+    ) -> List[Any]:  # noqa: UP006
+        """Async version of get_channel_writes."""
+        if getattr(_DELTA_RECONSTRUCTION, "active", False):
+            return []
+        _DELTA_RECONSTRUCTION.active = True
+        try:
+            result: list[Any] = []
+            target_id = config["configurable"].get("checkpoint_id")
+            async for tup in self.alist(config):
+                if tup.config["configurable"].get("checkpoint_id") == target_id:
+                    continue
+                if tup.pending_writes:
+                    for _, ch, value in tup.pending_writes:
+                        if ch == channel:
+                            result.append(value)
+            result.reverse()
+            return result
+        finally:
+            _DELTA_RECONSTRUCTION.active = False
+
    def get_next_version(self, current: V | None, channel: None) -> V:
        """Generate the next version ID for a channel.

@@ -9,7 +9,7 @@ from collections import defaultdict
 from collections.abc import AsyncIterator, Iterator, Sequence
 from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
 from types import TracebackType
-from typing import Any
+from typing import Any, cast

 from langchain_core.runnables import RunnableConfig

@@ -20,6 +20,7 @@ from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
+    DeltaChannelSentinel,
    SerializerProtocol,
    get_checkpoint_id,
    get_checkpoint_metadata,
@@ -121,16 +122,60 @@ class InMemorySaver(
        return self.stack.__exit__(__exc_type, __exc_value, __traceback)

    def _load_blobs(
-        self, thread_id: str, checkpoint_ns: str, versions: ChannelVersions
+        self,
+        thread_id: str,
+        checkpoint_ns: str,
+        versions: ChannelVersions,
    ) -> dict[str, Any]:
-        channel_values: dict[str, Any] = {}
-        for k, v in versions.items():
-            kk = (thread_id, checkpoint_ns, k, v)
-            if kk in self.blobs:
-                vv = self.blobs[kk]
-                if vv[0] != "empty":
-                    channel_values[k] = self.serde.loads_typed(vv)
-        return channel_values
+        result: dict[str, Any] = {}
+        for k, ver in versions.items():
+            kk = (thread_id, checkpoint_ns, k, ver)
+            if kk not in self.blobs:
+                continue
+            vv = self.blobs[kk]
+            if vv[0] == "empty":
+                continue
+            result[k] = self.serde.loads_typed(vv)
+        return result
+
+    def _resolve_delta_channels(
+        self,
+        config: RunnableConfig,
+        channel_values: dict[str, Any],
+    ) -> None:
+        """Replace DeltaChannelSentinel entries with reconstructed write lists."""
+        for channel, value in list(channel_values.items()):
+            if isinstance(value, DeltaChannelSentinel):
+                channel_values[channel] = self.get_channel_writes(config, channel)
+
+    def get_channel_writes(self, config: RunnableConfig, channel: str) -> list[Any]:
+        thread_id = config["configurable"]["thread_id"]
+        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
+        checkpoint_id = config["configurable"].get("checkpoint_id", "")
+        ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
+        # Walk the parent chain newest→oldest collecting checkpoint IDs.
+        chain: list[str] = []
+        current: str | None = checkpoint_id
+        while current is not None:
+            entry = ns_storage.get(current)
+            if entry is None:
+                break
+            chain.append(current)
+            _, _, parent = entry
+            current = parent
+        # Collect writes oldest→newest.
+        result: list[Any] = []
+        for cp_id in reversed(chain):
+            step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
+            for (_task_id, _idx), (_, ch, serialized, _) in sorted(step_writes.items()):
+                if ch == channel:
+                    result.append(self.serde.loads_typed(serialized))
+        return result
+
+    async def aget_channel_writes(
+        self, config: RunnableConfig, channel: str
+    ) -> list[Any]:
+        return self.get_channel_writes(config, channel)

    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
        """Get a checkpoint tuple from the in-memory storage.
@@ -153,13 +198,17 @@ class InMemorySaver(
                checkpoint, metadata, parent_checkpoint_id = saved
                writes = self.writes[(thread_id, checkpoint_ns, checkpoint_id)].values()
                checkpoint_: Checkpoint = self.serde.loads_typed(checkpoint)
+                channel_values = self._load_blobs(
+                    thread_id,
+                    checkpoint_ns,
+                    checkpoint_["channel_versions"],
+                )
+                self._resolve_delta_channels(config, channel_values)
                return CheckpointTuple(
                    config=config,
                    checkpoint={
                        **checkpoint_,
-                        "channel_values": self._load_blobs(
-                            thread_id, checkpoint_ns, checkpoint_["channel_versions"]
-                        ),
+                        "channel_values": channel_values,
                    },
                    metadata=self.serde.loads_typed(metadata),
                    pending_writes=[
@@ -183,19 +232,27 @@ class InMemorySaver(
                checkpoint, metadata, parent_checkpoint_id = checkpoints[checkpoint_id]
                writes = self.writes[(thread_id, checkpoint_ns, checkpoint_id)].values()
                checkpoint_ = self.serde.loads_typed(checkpoint)
-                return CheckpointTuple(
-                    config={
+                resolved_config = cast(
+                    RunnableConfig,
+                    {
                        "configurable": {
                            "thread_id": thread_id,
                            "checkpoint_ns": checkpoint_ns,
                            "checkpoint_id": checkpoint_id,
                        }
                    },
+                )
+                channel_values = self._load_blobs(
+                    thread_id,
+                    checkpoint_ns,
+                    checkpoint_["channel_versions"],
+                )
+                self._resolve_delta_channels(resolved_config, channel_values)
+                return CheckpointTuple(
+                    config=resolved_config,
                    checkpoint={
                        **checkpoint_,
-                        "channel_values": self._load_blobs(
-                            thread_id, checkpoint_ns, checkpoint_["channel_versions"]
-                        ),
+                        "channel_values": channel_values,
                    },
                    metadata=self.serde.loads_typed(metadata),
                    pending_writes=[
@@ -290,21 +347,28 @@ class InMemorySaver(

                    checkpoint_: Checkpoint = self.serde.loads_typed(checkpoint)

-                    yield CheckpointTuple(
-                        config={
+                    list_config = cast(
+                        RunnableConfig,
+                        {
                            "configurable": {
                                "thread_id": thread_id,
                                "checkpoint_ns": checkpoint_ns,
                                "checkpoint_id": checkpoint_id,
                            }
                        },
+                    )
+                    channel_values = self._load_blobs(
+                        thread_id,
+                        checkpoint_ns,
+                        checkpoint_["channel_versions"],
+                    )
+                    self._resolve_delta_channels(list_config, channel_values)
+
+                    yield CheckpointTuple(
+                        config=list_config,
                        checkpoint={
                            **checkpoint_,
-                            "channel_values": self._load_blobs(
-                                thread_id,
-                                checkpoint_ns,
-                                checkpoint_["channel_versions"],
-                            ),
+                            "channel_values": channel_values,
                        },
                        metadata=metadata,
                        parent_config=(
@@ -1,3 +1,10 @@
+"""Msgpack deserialization safety controls.
+
+Set ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict checkpoint deserialization
+to the types listed in ``SAFE_MSGPACK_TYPES``.  Without this, any Python
+callable stored in checkpoint data will be imported and executed on load.
+"""
+
 import os
 from collections.abc import Iterable
 from typing import cast
@@ -46,6 +46,31 @@ LC_REVIVER = Reviver()
 EMPTY_BYTES = b""
 logger = logging.getLogger(__name__)

+# Dedup log warnings across process lifetime; cap bounds state if types are
+# dynamically generated (also acts as a circuit breaker on warning volume).
+# Dedup is best-effort: racing threads may each emit once for the same key,
+# and warnings are silently dropped once _MAX_WARNED_TYPES is reached.
+_MAX_WARNED_TYPES = 1000
+_warned_unregistered_types: set[tuple[str, str]] = set()
+_warned_blocked_types: set[tuple[str, str]] = set()
+
+
+def _warn_once(
+    seen: set[tuple[str, str]], key: tuple[str, str], msg: str, *args: object
+) -> None:
+    if key in seen or len(seen) >= _MAX_WARNED_TYPES:
+        return
+    seen.add(key)
+    logger.warning(msg, *args)
+
+
+def _get_delta_sentinel_cls() -> type:
+    from langgraph.checkpoint.base import (
+        DeltaChannelSentinel,
+    )  # lazy import avoids circular dep
+
+    return DeltaChannelSentinel
+

 class JsonPlusSerializer(SerializerProtocol):
    """Serializer that uses ormsgpack, with optional fallbacks.
@@ -56,6 +81,10 @@ class JsonPlusSerializer(SerializerProtocol):
        class and called within the Pregel loop. It should not be used on untrusted
        python objects. If an attacker can write directly to your checkpoint database,
        they may be able to trigger code execution when data is deserialized.
+
+        Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
+        deserialization to a built-in allowlist of safe types.  You can also pass
+        an explicit ``allowed_msgpack_modules`` to the constructor.
    """

    def __init__(
@@ -70,8 +99,11 @@ class JsonPlusSerializer(SerializerProtocol):
    ) -> None:
        if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
            if _lg_msgpack.STRICT_MSGPACK_ENABLED:
+                # Strict: only SAFE_MSGPACK_TYPES are allowed.
                allowed_msgpack_modules = None
            else:
+                # Permissive (default): all types allowed with a warning.
+                # Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
                allowed_msgpack_modules = True
        self.pickle_fallback = pickle_fallback
        self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
@@ -232,6 +264,8 @@ class JsonPlusSerializer(SerializerProtocol):
            return "bytes", obj
        elif isinstance(obj, bytearray):
            return "bytearray", obj
+        elif isinstance(obj, _get_delta_sentinel_cls()):
+            return "delta", b""
        else:
            try:
                return "msgpack", _msgpack_enc(obj)
@@ -254,6 +288,10 @@ class JsonPlusSerializer(SerializerProtocol):
            return ormsgpack.unpackb(
                data_, ext_hook=self._unpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
            )
+        elif type_ == "delta":
+            from langgraph.checkpoint.base import DeltaChannelSentinel
+
+            return DeltaChannelSentinel()
        elif self.pickle_fallback and type_ == "pickle":
            return pickle.loads(data_)
        else:
@@ -527,10 +565,13 @@ def _create_msgpack_ext_hook(
                    "name": name,
                }
            )
-            logger.warning(
+            _warn_once(
+                _warned_unregistered_types,
+                key,
                "Deserializing unregistered type %s.%s from checkpoint. "
                "This will be blocked in a future version. "
-                "Add to allowed_msgpack_modules to silence: [(%r, %r)]",
+                "Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
+                "to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
                module,
                name,
                module,
@@ -548,7 +589,9 @@ def _create_msgpack_ext_hook(
                "name": name,
            }
        )
-        logger.warning(
+        _warn_once(
+            _warned_blocked_types,
+            key,
            "Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
            "Add to allowed_msgpack_modules to allow: [(%r, %r)]",
            module,
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"
@@ -29,6 +29,8 @@ from langgraph.checkpoint.serde.jsonplus import (
    EXT_METHOD_SINGLE_ARG,
    JsonPlusSerializer,
    _msgpack_enc,
+    _warned_blocked_types,
+    _warned_unregistered_types,
 )


@@ -102,6 +104,13 @@ def test_msgpack_method_pathlib_blocked_encrypted_strict(
 class TestEncryptedSerializerMsgpackAllowlist:
    """Test msgpack allowlist behavior through EncryptedSerializer."""

+    @pytest.fixture(autouse=True)
+    def _reset_warned_types(self) -> None:
+        # Warning dedup state is process-global; reset per-test so each case
+        # sees a fresh slate and assertions about warning emission are stable.
+        _warned_unregistered_types.clear()
+        _warned_blocked_types.clear()
+
    def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
        """Test safe types deserialize without warnings through encryption."""
        serde = _make_encrypted_serde()
@@ -35,6 +35,8 @@ from langgraph.checkpoint.serde.jsonplus import (
    JsonPlusSerializer,
    _msgpack_enc,
    _msgpack_ext_hook_to_json,
+    _warned_blocked_types,
+    _warned_unregistered_types,
 )
 from langgraph.store.base import Item

@@ -580,6 +582,14 @@ def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None
        assert result is not None


+@pytest.fixture(autouse=True)
+def _reset_warned_types() -> None:
+    # Warning dedup state is process-global; reset per-test so each case sees
+    # a fresh slate and assertions about warning emission are stable.
+    _warned_unregistered_types.clear()
+    _warned_blocked_types.clear()
+
+
 def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
    """Pydantic models not in allowlist should log warning but still deserialize."""
    current = _lg_msgpack.STRICT_MSGPACK_ENABLED
@@ -595,6 +605,12 @@ def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) ->
    assert "unregistered type" in caplog.text.lower()
    assert "allowed_msgpack_modules" in caplog.text
    assert result == obj
+
+    # Second deserialization of the same type should NOT produce another warning
+    caplog.clear()
+    result2 = serde.loads_typed(dumped)
+    assert "unregistered type" not in caplog.text.lower()
+    assert result2 == obj
    _lg_msgpack.STRICT_MSGPACK_ENABLED = current


@@ -639,7 +655,6 @@ def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) ->

 def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
    """allowed_msgpack_modules=None should block unregistered types."""
-
    serde = JsonPlusSerializer(allowed_msgpack_modules=None)

    obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
@@ -657,7 +672,6 @@ def test_msgpack_allowlist_blocks_non_listed(
    caplog: pytest.LogCaptureFixture,
 ) -> None:
    """Allowlists should block unregistered types even if msgpack is enabled."""
-
    serde = JsonPlusSerializer(
        allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
    )
@@ -983,3 +997,15 @@ def test_msgpack_nested_pydantic_serializes_as_dict(
    # No blocking should occur - inner is serialized as dict, not ext
    assert "blocked" not in caplog.text.lower()
    assert result == obj
+
+
+def test_delta_channel_sentinel_serde_round_trip() -> None:
+    from langgraph.checkpoint.base import DeltaChannelSentinel
+    from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
+
+    serde = JsonPlusSerializer()
+    original = DeltaChannelSentinel()
+    type_tag, blob = serde.dumps_typed(original)
+    assert type_tag == "delta"
+    loaded = serde.loads_typed((type_tag, blob))
+    assert isinstance(loaded, DeltaChannelSentinel)
@@ -12,13 +12,25 @@ from langgraph.checkpoint.base import (
    empty_checkpoint,
 )
 from langgraph.checkpoint.memory import InMemorySaver
-from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
+from langgraph.checkpoint.serde.jsonplus import (
+    JsonPlusSerializer,
+    _warned_blocked_types,
+    _warned_unregistered_types,
+)


 class MemoryPydantic(BaseModel):
    foo: str


+@pytest.fixture(autouse=True)
+def _reset_warned_types() -> None:
+    # Warning dedup state is process-global; reset per-test so each case sees
+    # a fresh slate and assertions about warning emission are stable.
+    _warned_unregistered_types.clear()
+    _warned_blocked_types.clear()
+
+
 class TestMemorySaver:
    @pytest.fixture(autouse=True)
    def setup(self) -> None:
@@ -308,3 +320,74 @@ def test_memory_saver_with_allowlist_proxy_isolated() -> None:
    assert direct is not None
    expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
    assert direct.checkpoint["channel_values"]["foo"] == expected
+
+
+class TestInMemorySaverDeltaChannel:
+    def test_load_blobs_returns_sentinel_for_delta_channel(self) -> None:
+        """_load_blobs returns DeltaChannelSentinel for delta channels (reconstruction deferred)."""
+        from langgraph.checkpoint.base import (
+            DeltaChannelSentinel,
+            empty_checkpoint,
+        )
+
+        saver = InMemorySaver()
+        serde = JsonPlusSerializer()
+
+        thread_id, ns, channel = "t1", "", "messages"
+        v1 = "00000000000000000000000000000001.0000000000000000"
+
+        sentinel = DeltaChannelSentinel()
+        saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(sentinel)
+
+        cp1 = empty_checkpoint()
+        cp1["id"] = "cp1"
+        cp1["channel_versions"][channel] = v1
+        saver.storage[thread_id][ns] = {
+            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
+        }
+
+        result = saver._load_blobs(thread_id, ns, {channel: v1})
+        assert channel in result
+        assert isinstance(result[channel], DeltaChannelSentinel)
+
+    def test_get_channel_writes_collects_writes(self) -> None:
+        """get_channel_writes collects per-step writes oldest→newest."""
+        from langgraph.checkpoint.base import empty_checkpoint
+
+        saver = InMemorySaver()
+        serde = JsonPlusSerializer()
+
+        thread_id, ns, channel = "t1", "", "messages"
+
+        cp1 = empty_checkpoint()
+        cp1["id"] = "cp1"
+        cp2 = empty_checkpoint()
+        cp2["id"] = "cp2"
+        saver.storage[thread_id][ns] = {
+            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
+            "cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
+        }
+        # cp1 has a write for channel
+        saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
+            "task1",
+            channel,
+            serde.dumps_typed({"content": "hi"}),
+            "",
+        )
+        # cp2 has a write for channel
+        saver.writes[(thread_id, ns, "cp2")][("task2", 0)] = (
+            "task2",
+            channel,
+            serde.dumps_typed({"content": "bye"}),
+            "",
+        )
+
+        config: RunnableConfig = {
+            "configurable": {
+                "thread_id": thread_id,
+                "checkpoint_ns": ns,
+                "checkpoint_id": "cp2",
+            }
+        }
+        result = saver.get_channel_writes(config, channel)
+        assert result == [{"content": "hi"}, {"content": "bye"}]
@@ -267,7 +267,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.22"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.6.4"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -379,84 +379,97 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
+    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/e7/85/9c7933052a997da1b85bc5c774f3865e9b1da1c8d71541ea133178b13229/langsmith-0.6.4.tar.gz", hash = "sha256:36f7223a01c218079fbb17da5e536ebbaf5c1468c028abe070aa3ae59bc99ec8", size = 919964, upload-time = "2026-01-15T20:02:28.873Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
 ]

 [[package]]
 name = "librt"
-version = "0.7.8"
+version = "0.8.1"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/56/9c/b4b0c54d84da4a94b37bd44151e46d5e583c9534c7e02250b961b1b6d8a8/librt-0.8.1.tar.gz", hash = "sha256:be46a14693955b3bd96014ccbdb8339ee8c9346fbe11c1b78901b55125f14c73", size = 177471, upload-time = "2026-02-17T16:13:06.101Z" }
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 version = "0.25.0"
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 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langgraph==1.1.2"
+  "langgraph==1.1.5"
 ]
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.0.1"
+  "langchain-openai==1.1.14"
 ]
@@ -5,9 +5,9 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.0.0a2",
+  "langchain-openai==1.1.14",
  "langchain-anthropic==1.0.0a5",
-  "langgraph==1.1.2"
+  "langgraph==1.1.5"
 ]

 [tool.uv]
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.0.0a2",
+  "langchain-openai==1.1.14",
  "langgraph==1.1.2",
  "langchain_community>=0.3.0",
 ]
@@ -159,8 +159,8 @@ def generate_schema():
        if k not in python_specific_props and k not in node_specific_props
    ]

-    # Create Python schema with python_version and pip_config_file
-    python_schema = {
+    # Create legacy Python schema with python_version and pip_config_file
+    legacy_python_schema = {
        "type": "object",
        "properties": {
            # Include Python-specific properties
@@ -170,10 +170,45 @@ def generate_schema():
        },
        "required": ["dependencies", "graphs"],
    }
+    legacy_python_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }
+
+    uv_source_python_schema = {
+        "type": "object",
+        "properties": {
+            **{
+                k: config_schema["properties"][k].copy()
+                for k in python_specific_props + common_props
+            },
+        },
+        "required": ["graphs", "source"],
+    }
+    # source must be a UvSource object (not null)
+    uv_source_python_schema["properties"]["source"] = {"$ref": "#/$defs/UvSource"}
+    uv_source_python_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }

    # Add enum constraint for python_version
-    if "python_version" in python_schema["properties"]:
-        python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
+    if "python_version" in legacy_python_schema["properties"]:
+        legacy_python_schema["properties"]["python_version"]["enum"] = [
+            "3.11",
+            "3.12",
+            "3.13",
+        ]
+    if "python_version" in uv_source_python_schema["properties"]:
+        uv_source_python_schema["properties"]["python_version"]["enum"] = [
+            "3.11",
+            "3.12",
+            "3.13",
+        ]

    # Create Node.js schema with node_version
    node_schema = {
@@ -186,6 +221,12 @@ def generate_schema():
        },
        "required": ["node_version", "graphs"],
    }
+    node_schema["properties"]["pip_installer"] = {
+        "anyOf": [
+            {"type": "string", "enum": ["auto", "pip", "uv"]},
+            {"type": "null"},
+        ]
+    }

    # Add enum constraint for node_version
    if "node_version" in node_schema["properties"]:
@@ -202,7 +243,11 @@ def generate_schema():
        ]

    # Replace the Config schema with a oneOf constraint
-    config_schema["oneOf"] = [python_schema, node_schema]
+    config_schema["oneOf"] = [
+        legacy_python_schema,
+        uv_source_python_schema,
+        node_schema,
+    ]

    # Remove the properties field as it's now defined in the oneOf subschemas
    if "properties" in config_schema:
@@ -21,16 +21,16 @@
    "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
  },
  "dependencies": {
-    "@langchain/core": "^1.1.36",
-    "@langchain/langgraph": "^1.2.5"
+    "@langchain/core": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
  },
  "devDependencies": {
    "@eslint/eslintrc": "^3.3.5",
    "@eslint/js": "^10.0.1",
    "@tsconfig/recommended": "^1.0.13",
    "@types/jest": "^30.0.0",
-    "@typescript-eslint/eslint-plugin": "^8.57.2",
-    "@typescript-eslint/parser": "^8.57.2",
+    "@typescript-eslint/eslint-plugin": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
    "dotenv": "^17.3.1",
    "eslint": "^10.1.0",
    "eslint-config-prettier": "^10.1.8",
@@ -890,10 +890,10 @@
    "@jridgewell/resolve-uri" "^3.1.0"
    "@jridgewell/sourcemap-codec" "^1.4.14"

-"@langchain/core@^1.1.36":
-  version "1.1.36"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.36.tgz#672d758e50e09fe402db2919ceb98b82cbca901b"
-  integrity sha512-9NWsdzU3uZD13lJwunXK0t6SIwew+UwcbHggW5yUdaiMmzKeNkDpp1lRD6p49N8+D0Vv4qmQBEKB4Ukh2jfnvw==
+"@langchain/core@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
  dependencies:
    "@cfworker/json-schema" "^4.0.2"
    "@standard-schema/spec" "^1.1.0"
@@ -914,23 +914,23 @@
  dependencies:
    uuid "^10.0.0"

-"@langchain/langgraph-sdk@~1.8.0":
-  version "1.8.0"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.0.tgz#aa62fd641a4ef964a57cea7a7c11e662e8082fb8"
-  integrity sha512-TPowjgfLjRll4zUDiOUVgd8qLgSOhy5uHt0sWhpvxgQd+dcUs4x/3nKjrepSvmp24KQKbF6GJy6MaHBDj3Ubtw==
+"@langchain/langgraph-sdk@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
  dependencies:
    "@types/json-schema" "^7.0.15"
    p-queue "^9.0.1"
    p-retry "^7.1.1"
    uuid "^13.0.0"

-"@langchain/langgraph@^1.2.5":
-  version "1.2.5"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
-  integrity sha512-O/ROF1oaXN7VK6+WTpXsDvJp7L+YyTOHa9rt3L85jrvwxBqQQRIlRLOWT8ehB/ywE3M1K7WAWOAXbmorCYzviQ==
+"@langchain/langgraph@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
  dependencies:
    "@langchain/langgraph-checkpoint" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.0"
+    "@langchain/langgraph-sdk" "~1.8.1"
    "@standard-schema/spec" "1.1.0"
    uuid "^10.0.0"

@@ -1086,11 +1086,6 @@
  resolved "https://registry.yarnpkg.com/@types/stack-utils/-/stack-utils-2.0.3.tgz#6209321eb2c1712a7e7466422b8cb1fc0d9dd5d8"
  integrity sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==

-"@types/uuid@^10.0.0":
-  version "10.0.0"
-  resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
-  integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
-
 "@types/yargs-parser@*":
  version "21.0.3"
  resolved "https://registry.yarnpkg.com/@types/yargs-parser/-/yargs-parser-21.0.3.tgz#815e30b786d2e8f0dcd85fd5bcf5e1a04d008f15"
@@ -1103,100 +1098,100 @@
  dependencies:
    "@types/yargs-parser" "*"

-"@typescript-eslint/eslint-plugin@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.57.2.tgz#ad0dcefeca9c2ecbe09f730d478063666aee010b"
-  integrity sha512-NZZgp0Fm2IkD+La5PR81sd+g+8oS6JwJje+aRWsDocxHkjyRw0J5L5ZTlN3LI1LlOcGL7ph3eaIUmTXMIjLk0w==
+"@typescript-eslint/eslint-plugin@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
  dependencies:
    "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.57.2"
-    "@typescript-eslint/type-utils" "8.57.2"
-    "@typescript-eslint/utils" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    ignore "^7.0.5"
    natural-compare "^1.4.0"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"

-"@typescript-eslint/parser@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.57.2.tgz#b819955e39f976c0d4f95b5ed67fe22f85cd6898"
-  integrity sha512-30ScMRHIAD33JJQkgfGW1t8CURZtjc2JpTrq5n2HFhOefbAhb7ucc7xJwdWcrEtqUIYJ73Nybpsggii6GtAHjA==
+"@typescript-eslint/parser@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
  dependencies:
-    "@typescript-eslint/scope-manager" "8.57.2"
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/typescript-estree" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/project-service@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.57.2.tgz#dfbc7777f9f633f2b06b558cda3836e76f856e3c"
-  integrity sha512-FuH0wipFywXRTHf+bTTjNyuNQQsQC3qh/dYzaM4I4W0jrCqjCVuUh99+xd9KamUfmCGPvbO8NDngo/vsnNVqgw==
+"@typescript-eslint/project-service@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
  dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.57.2"
-    "@typescript-eslint/types" "^8.57.2"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/scope-manager@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.57.2.tgz#734dcde40677f430b5d963108337295bdbc09dae"
-  integrity sha512-snZKH+W4WbWkrBqj4gUNRIGb/jipDW3qMqVJ4C9rzdFc+wLwruxk+2a5D+uoFcKPAqyqEnSb4l2ULuZf95eSkw==
+"@typescript-eslint/scope-manager@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
  dependencies:
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"

-"@typescript-eslint/tsconfig-utils@8.57.2", "@typescript-eslint/tsconfig-utils@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.57.2.tgz#cf82dc11e884103ec13188a7352591efaa1a887e"
-  integrity sha512-3Lm5DSM+DCowsUOJC+YqHHnKEfFh5CoGkj5Z31NQSNF4l5wdOwqGn99wmwN/LImhfY3KJnmordBq/4+VDe2eKw==
+"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==

-"@typescript-eslint/type-utils@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.57.2.tgz#3ec65a94e73776252991a3cf0a15d220734c28f5"
-  integrity sha512-Co6ZCShm6kIbAM/s+oYVpKFfW7LBc6FXoPXjTRQ449PPNBY8U0KZXuevz5IFuuUj2H9ss40atTaf9dlGLzbWZg==
+"@typescript-eslint/type-utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
  dependencies:
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/typescript-estree" "8.57.2"
-    "@typescript-eslint/utils" "8.57.2"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
    debug "^4.4.3"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"

-"@typescript-eslint/types@8.57.2", "@typescript-eslint/types@^8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.57.2.tgz#efe0da4c28b505ed458f113aa960dce2c5c671f4"
-  integrity sha512-/iZM6FnM4tnx9csuTxspMW4BOSegshwX5oBDznJ7S4WggL7Vczz5d2W11ecc4vRrQMQHXRSxzrCsyG5EsPPTbA==
+"@typescript-eslint/types@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==

-"@typescript-eslint/typescript-estree@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.2.tgz#432e61a6cf2ab565837da387e5262c159672abea"
-  integrity sha512-2MKM+I6g8tJxfSmFKOnHv2t8Sk3T6rF20A1Puk0svLK+uVapDZB/4pfAeB7nE83uAZrU6OxW+HmOd5wHVdXwXA==
+"@typescript-eslint/typescript-estree@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
  dependencies:
-    "@typescript-eslint/project-service" "8.57.2"
-    "@typescript-eslint/tsconfig-utils" "8.57.2"
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/visitor-keys" "8.57.2"
+    "@typescript-eslint/project-service" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"
    minimatch "^10.2.2"
    semver "^7.7.3"
    tinyglobby "^0.2.15"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"

-"@typescript-eslint/utils@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.2.tgz#46a8974c24326fb8899486728428a0f1a3115014"
-  integrity sha512-krRIbvPK1ju1WBKIefiX+bngPs+odIQUtR7kymzPfo1POVw3jlF+nLkmexdSSd4UCbDcQn+wMBATOOmpBbqgKg==
+"@typescript-eslint/utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
  dependencies:
    "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.57.2"
-    "@typescript-eslint/types" "8.57.2"
-    "@typescript-eslint/typescript-estree" "8.57.2"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"

-"@typescript-eslint/visitor-keys@8.57.2":
-  version "8.57.2"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.2.tgz#a5c9605774247336c0412beb7dc288ab2a07c11e"
-  integrity sha512-zhahknjobV2FiD6Ee9iLbS7OV9zi10rG26odsQdfBO/hjSzUQbkIYgda+iNKK1zNiW2ey+Lf8MU5btN17V3dUw==
+"@typescript-eslint/visitor-keys@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
  dependencies:
-    "@typescript-eslint/types" "8.57.2"
+    "@typescript-eslint/types" "8.58.0"
    eslint-visitor-keys "^5.0.0"

 "@ungap/structured-clone@^1.3.0":
@@ -1782,13 +1777,6 @@ concat-map@0.0.1:
  resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
  integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==

-console-table-printer@^2.12.1:
-  version "2.15.0"
-  resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.15.0.tgz#5c808204640b8f024d545bde8aabe5d344dfadc1"
-  integrity sha512-SrhBq4hYVjLCkBVOWaTzceJalvn5K1Zq5aQA6wXC/cYjI3frKWNPEMK3sZsJfNNQApvCQmgBcc13ZKmFj8qExw==
-  dependencies:
-    simple-wcswidth "^1.1.2"
-
 convert-source-map@^2.0.0:
  version "2.0.0"
  resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-2.0.0.tgz#4b560f649fc4e918dd0ab75cf4961e8bc882d82a"
@@ -3688,16 +3676,12 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.4"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
-  integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
+  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
  dependencies:
-    "@types/uuid" "^10.0.0"
-    chalk "^4.1.2"
-    console-table-printer "^2.12.1"
-    p-queue "^6.6.2"
-    semver "^7.6.3"
-    uuid "^10.0.0"
+    p-queue "6.6.2"
+    uuid "10.0.0"

 leven@^3.1.0:
  version "3.1.0"
@@ -4007,7 +3991,7 @@ p-locate@^5.0.0:
  dependencies:
    p-limit "^3.0.2"

-p-queue@^6.6.2:
+p-queue@6.6.2, p-queue@^6.6.2:
  version "6.6.2"
  resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
  integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -4303,7 +4287,7 @@ semver@^6.3.1:
  resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
  integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==

-semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, semver@^7.7.2, semver@^7.7.3:
+semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
  version "7.7.4"
  resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
  integrity sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==
@@ -4411,11 +4395,6 @@ signal-exit@^4.0.1:
  resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
  integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==

-simple-wcswidth@^1.1.2:
-  version "1.1.2"
-  resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
-  integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
-
 slash@^3.0.0:
  version "3.0.0"
  resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
@@ -4639,10 +4618,10 @@ to-regex-range@^5.0.1:
  dependencies:
    is-number "^7.0.0"

-ts-api-utils@^2.4.0:
-  version "2.4.0"
-  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
-  integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
+ts-api-utils@^2.5.0:
+  version "2.5.0"
+  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
+  integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==

 ts-jest@^29.4.6:
  version "29.4.6"
@@ -4870,7 +4849,7 @@ uri-js@^4.2.2:
  dependencies:
    punycode "^2.1.0"

-uuid@^10.0.0:
+uuid@10.0.0, uuid@^10.0.0:
  version "10.0.0"
  resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
@@ -9,8 +9,8 @@
  },
  "dependencies": {
    "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^1.1.35",
-    "@langchain/langgraph": "^1.2.5"
+    "@langchain/core": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
  },
  "devDependencies": {
    "typescript": "^5.9.3"
@@ -17,7 +17,7 @@
    "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
  },
  "devDependencies": {
-    "turbo": "^2.8.20",
+    "turbo": "^2.9.3",
    "typescript": "^5.9.3",
    "@tsconfig/recommended": "^1.0.13",
    "@eslint/eslintrc": "^3.3.5",
@@ -27,8 +27,8 @@
    "eslint-plugin-import": "^2.27.5",
    "eslint-plugin-no-instanceof": "^1.0.1",
    "eslint-plugin-prettier": "^5.5.5",
-    "@typescript-eslint/eslint-plugin": "^8.57.1",
-    "@typescript-eslint/parser": "^8.57.1",
+    "@typescript-eslint/eslint-plugin": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
    "prettier": "^3.8.1"
  }
 }
@@ -103,10 +103,10 @@
  resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
  integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==

-"@langchain/core@^1.1.35":
-  version "1.1.35"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.35.tgz#4c681cc9af3d59d139f6272768dd30361dccd518"
-  integrity sha512-TM0idLSAx17IEMqEIN7F8MDdXpN53p4A4vhhjZxf7LedwShB/8Zx1F5D5Nq1Bbn0zh9QDzSHpWyfCrTtggKf7g==
+"@langchain/core@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
  dependencies:
    "@cfworker/json-schema" "^4.0.2"
    "@standard-schema/spec" "^1.1.0"
@@ -127,23 +127,23 @@
  dependencies:
    uuid "^10.0.0"

-"@langchain/langgraph-sdk@~1.8.0":
-  version "1.8.0"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.0.tgz#aa62fd641a4ef964a57cea7a7c11e662e8082fb8"
-  integrity sha512-TPowjgfLjRll4zUDiOUVgd8qLgSOhy5uHt0sWhpvxgQd+dcUs4x/3nKjrepSvmp24KQKbF6GJy6MaHBDj3Ubtw==
+"@langchain/langgraph-sdk@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
  dependencies:
    "@types/json-schema" "^7.0.15"
    p-queue "^9.0.1"
    p-retry "^7.1.1"
    uuid "^13.0.0"

-"@langchain/langgraph@^1.2.5":
-  version "1.2.5"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.5.tgz#f4285b77baee945092795c2989bdd6589dc5b142"
-  integrity sha512-O/ROF1oaXN7VK6+WTpXsDvJp7L+YyTOHa9rt3L85jrvwxBqQQRIlRLOWT8ehB/ywE3M1K7WAWOAXbmorCYzviQ==
+"@langchain/langgraph@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
  dependencies:
    "@langchain/langgraph-checkpoint" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.0"
+    "@langchain/langgraph-sdk" "~1.8.1"
    "@standard-schema/spec" "1.1.0"
    uuid "^10.0.0"

@@ -167,35 +167,35 @@
  resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
  integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==

-"@turbo/darwin-64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.8.20.tgz#6ebc903fbfe31db85f67b84af69e84822765cbf4"
-  integrity sha512-FQ9EX1xMU5nbwjxXxM3yU88AQQ6Sqc6S44exPRroMcx9XZHqqppl5ymJF0Ig/z3nvQNwDmz1Gsnvxubo+nXWjQ==
+"@turbo/darwin-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
+  integrity sha512-P8foouaP+y/p+hhEGBoZpzMbpVvUMwPjDpcy6wN7EYfvvyISD1USuV27qWkczecihwuPJzQ1lDBuL8ERcavTyg==

-"@turbo/darwin-arm64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.8.20.tgz#f02fdd818bfe610240c1a60865eeb9ca338160f5"
-  integrity sha512-Gpyh9ATFGThD6/s9L95YWY54cizg/VRWl2B67h0yofG8BpHf67DFAh9nuJVKG7bY0+SBJDAo5cMur+wOl9YOYw==
+"@turbo/darwin-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
+  integrity sha512-SIzEkvtNdzdI50FJDaIQ6kQGqgSSdFPcdn0wqmmONN6iGKjy6hsT+EH99GP65FsfV7DLZTh2NmtTIRl2kdoz5Q==

-"@turbo/linux-64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.8.20.tgz#51faba95b242731b0beae9811724b3eeee6aa0a1"
-  integrity sha512-p2QxWUYyYUgUFG0b0kR+pPi8t7c9uaVlRtjTTI1AbCvVqkpjUfCcReBn6DgG/Hu8xrWdKLuyQFaLYFzQskZbcA==
+"@turbo/linux-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.3.tgz#de693a996071654a0bea51c7ed9dc6fdc3950ae8"
+  integrity sha512-pLRwFmcHHNBvsCySLS6OFabr/07kDT2pxEt/k6eBf/3asiVQZKJ7Rk88AafQx2aYA641qek4RsXvYO3JYpiBug==

-"@turbo/linux-arm64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.8.20.tgz#4c466ec09a2c2e6513df94d703660bb6efa61614"
-  integrity sha512-Gn5yjlZGLRZWarLWqdQzv0wMqyBNIdq1QLi48F1oY5Lo9kiohuf7BPQWtWxeNVS2NgJ1+nb/DzK1JduYC4AWOA==
+"@turbo/linux-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.3.tgz#88fc6fe572d83c5488eeae9b564b57c335f4d856"
+  integrity sha512-gy6ApUroC2Nzv+qjGtE/uPNkhHAFU4c8God+zd5Aiv9L9uBgHlxVJpHT3XWl5xwlJZ2KWuMrlHTaS5kmNB+q1Q==

-"@turbo/windows-64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.8.20.tgz#b8f23ff1d5ddf9b1abe41db2b1cb35b13066c063"
-  integrity sha512-vyaDpYk/8T6Qz5V/X+ihKvKFEZFUoC0oxYpC1sZanK6gaESJlmV3cMRT3Qhcg4D2VxvtC2Jjs9IRkrZGL+exLw==
+"@turbo/windows-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
+  integrity sha512-d0YelTX6hAsB7kIEtGB3PzIzSfAg3yDoUlHwuwJc3adBXUsyUIs0YLG+1NNtuhcDOUGnWQeKUoJ2pGWvbpRj7w==

-"@turbo/windows-arm64@2.8.20":
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.8.20.tgz#8032d42c6cfd954d3c381720d5a65dc3e7ea3014"
-  integrity sha512-voicVULvUV5yaGXo0Iue13BcHGYW3u0VgqSbfQwBaHbpj1zLjYV4KIe+7fYIo6DO8FVUJzxFps3ODCQG/Wy2Qw==
+"@turbo/windows-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.3.tgz#1891a89fe87d501e63a7a4367082f3afec18fa6f"
+  integrity sha512-/08CwpKJl3oRY8nOlh2YgilZVJDHsr60XTNxRhuDeuFXONpUZ5X+Nv65izbG/xBew9qxcJFbDX9/sAmAX+ITcQ==

 "@types/esrecurse@^4.3.1":
  version "4.3.1"
@@ -217,105 +217,100 @@
  resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
  integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==

-"@types/uuid@^10.0.0":
-  version "10.0.0"
-  resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
-  integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
-
-"@typescript-eslint/eslint-plugin@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.57.1.tgz#ddfdfb30f8b5ccee7f3c21798b377c51370edd55"
-  integrity sha512-Gn3aqnvNl4NGc6x3/Bqk1AOn0thyTU9bqDRhiRnUWezgvr2OnhYCWCgC8zXXRVqBsIL1pSDt7T9nJUe0oM0kDQ==
+"@typescript-eslint/eslint-plugin@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
  dependencies:
    "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.57.1"
-    "@typescript-eslint/type-utils" "8.57.1"
-    "@typescript-eslint/utils" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    ignore "^7.0.5"
    natural-compare "^1.4.0"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"

-"@typescript-eslint/parser@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.57.1.tgz#d523e559b148264055c0a49a29d5f50c7de659c2"
-  integrity sha512-k4eNDan0EIMTT/dUKc/g+rsJ6wcHYhNPdY19VoX/EOtaAG8DLtKCykhrUnuHPYvinn5jhAPgD2Qw9hXBwrahsw==
+"@typescript-eslint/parser@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
  dependencies:
-    "@typescript-eslint/scope-manager" "8.57.1"
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/typescript-estree" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/project-service@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.57.1.tgz#16af9fe16eedbd7085e4fdc29baa73715c0c55c5"
-  integrity sha512-vx1F37BRO1OftsYlmG9xay1TqnjNVlqALymwWVuYTdo18XuKxtBpCj1QlzNIEHlvlB27osvXFWptYiEWsVdYsg==
+"@typescript-eslint/project-service@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
  dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.57.1"
-    "@typescript-eslint/types" "^8.57.1"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/scope-manager@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.57.1.tgz#4524d7e7b420cb501807499684d435ae129aaf35"
-  integrity sha512-hs/QcpCwlwT2L5S+3fT6gp0PabyGk4Q0Rv2doJXA0435/OpnSR3VRgvrp8Xdoc3UAYSg9cyUjTeFXZEPg/3OKg==
+"@typescript-eslint/scope-manager@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
  dependencies:
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"

-"@typescript-eslint/tsconfig-utils@8.57.1", "@typescript-eslint/tsconfig-utils@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.57.1.tgz#9233443ec716882a6f9e240fd900a73f0235f3d7"
-  integrity sha512-0lgOZB8cl19fHO4eI46YUx2EceQqhgkPSuCGLlGi79L2jwYY1cxeYc1Nae8Aw1xjgW3PKVDLlr3YJ6Bxx8HkWg==
+"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==

-"@typescript-eslint/type-utils@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.57.1.tgz#c49af1347b5869ca85155547a8f34f84ab386fd9"
-  integrity sha512-+Bwwm0ScukFdyoJsh2u6pp4S9ktegF98pYUU0hkphOOqdMB+1sNQhIz8y5E9+4pOioZijrkfNO/HUJVAFFfPKA==
+"@typescript-eslint/type-utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
  dependencies:
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/typescript-estree" "8.57.1"
-    "@typescript-eslint/utils" "8.57.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
    debug "^4.4.3"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"

-"@typescript-eslint/types@8.57.1", "@typescript-eslint/types@^8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.57.1.tgz#54b27a8a25a7b45b4f978c3f8e00c4c78f11142c"
-  integrity sha512-S29BOBPJSFUiblEl6RzPPjJt6w25A6XsBqRVDt53tA/tlL8q7ceQNZHTjPeONt/3S7KRI4quk+yP9jK2WjBiPQ==
+"@typescript-eslint/types@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==

-"@typescript-eslint/typescript-estree@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.1.tgz#a9fd28d4a0ec896aa9a9a7e0cead62ea24f99e76"
-  integrity sha512-ybe2hS9G6pXpqGtPli9Gx9quNV0TWLOmh58ADlmZe9DguLq0tiAKVjirSbtM1szG6+QH6rVXyU6GTLQbWnMY+g==
+"@typescript-eslint/typescript-estree@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
  dependencies:
-    "@typescript-eslint/project-service" "8.57.1"
-    "@typescript-eslint/tsconfig-utils" "8.57.1"
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/visitor-keys" "8.57.1"
+    "@typescript-eslint/project-service" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"
    minimatch "^10.2.2"
    semver "^7.7.3"
    tinyglobby "^0.2.15"
-    ts-api-utils "^2.4.0"
+    ts-api-utils "^2.5.0"

-"@typescript-eslint/utils@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.1.tgz#e40f5a7fcff02fd24092a7b52bd6ec029fb50465"
-  integrity sha512-XUNSJ/lEVFttPMMoDVA2r2bwrl8/oPx8cURtczkSEswY5T3AeLmCy+EKWQNdL4u0MmAHOjcWrqJp2cdvgjn8dQ==
+"@typescript-eslint/utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
  dependencies:
    "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.57.1"
-    "@typescript-eslint/types" "8.57.1"
-    "@typescript-eslint/typescript-estree" "8.57.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"

-"@typescript-eslint/visitor-keys@8.57.1":
-  version "8.57.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.1.tgz#3af4f88118924d3be983d4b8ae84803f11fe4563"
-  integrity sha512-YWnmJkXbofiz9KbnbbwuA2rpGkFPLbAIetcCNO6mJ8gdhdZ/v7WDXsoGFAJuM6ikUFKTlSQnjWnVO4ux+UzS6A==
+"@typescript-eslint/visitor-keys@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
  dependencies:
-    "@typescript-eslint/types" "8.57.1"
+    "@typescript-eslint/types" "8.58.0"
    eslint-visitor-keys "^5.0.0"

 acorn-jsx@^5.3.2:
@@ -343,13 +338,6 @@ ajv@^6.14.0:
    json-schema-traverse "^0.4.1"
    uri-js "^4.2.2"

-ansi-styles@^4.1.0:
-  version "4.3.0"
-  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
-  integrity sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==
-  dependencies:
-    color-convert "^2.0.1"
-
 ansi-styles@^5.0.0:
  version "5.2.0"
  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
@@ -508,38 +496,11 @@ camelcase@6:
  resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
  integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==

-chalk@^4.1.2:
-  version "4.1.2"
-  resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
-  integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
-  dependencies:
-    ansi-styles "^4.1.0"
-    supports-color "^7.1.0"
-
-color-convert@^2.0.1:
-  version "2.0.1"
-  resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
-  integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
-  dependencies:
-    color-name "~1.1.4"
-
-color-name@~1.1.4:
-  version "1.1.4"
-  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
-  integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
-
 concat-map@0.0.1:
  version "0.0.1"
  resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
  integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==

-console-table-printer@^2.12.1:
-  version "2.14.6"
-  resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
-  integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
-  dependencies:
-    simple-wcswidth "^1.0.1"
-
 cross-spawn@^7.0.6:
  version "7.0.6"
  resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
@@ -1059,11 +1020,6 @@ has-bigints@^1.0.2:
  resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
  integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==

-has-flag@^4.0.0:
-  version "4.0.0"
-  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
-  integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
-
 has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
  version "1.0.2"
  resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
@@ -1372,16 +1328,12 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.4"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
-  integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
+  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
  dependencies:
-    "@types/uuid" "^10.0.0"
-    chalk "^4.1.2"
-    console-table-printer "^2.12.1"
-    p-queue "^6.6.2"
-    semver "^7.6.3"
-    uuid "^10.0.0"
+    p-queue "6.6.2"
+    uuid "10.0.0"

 levn@^0.4.1:
  version "0.4.1"
@@ -1528,7 +1480,7 @@ p-locate@^5.0.0:
  dependencies:
    p-limit "^3.0.2"

-p-queue@^6.6.2:
+p-queue@6.6.2, p-queue@^6.6.2:
  version "6.6.2"
  resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
  integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -1690,11 +1642,6 @@ semver@^6.3.1:
  resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
  integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==

-semver@^7.6.3:
-  version "7.7.2"
-  resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
-  integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
-
 semver@^7.7.3:
  version "7.7.4"
  resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
@@ -1783,11 +1730,6 @@ side-channel@^1.1.0:
    side-channel-map "^1.0.1"
    side-channel-weakmap "^1.0.2"

-simple-wcswidth@^1.0.1:
-  version "1.1.2"
-  resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
-  integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
-
 stop-iteration-iterator@^1.1.0:
  version "1.1.0"
  resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
@@ -1838,13 +1780,6 @@ strip-json-comments@^3.1.1:
  resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
  integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==

-supports-color@^7.1.0:
-  version "7.2.0"
-  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
-  integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
-  dependencies:
-    has-flag "^4.0.0"
-
 supports-preserve-symlinks-flag@^1.0.0:
  version "1.0.0"
  resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
@@ -1865,10 +1800,10 @@ tinyglobby@^0.2.15:
    fdir "^6.5.0"
    picomatch "^4.0.3"

-ts-api-utils@^2.4.0:
-  version "2.4.0"
-  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.4.0.tgz#2690579f96d2790253bdcf1ca35d569ad78f9ad8"
-  integrity sha512-3TaVTaAv2gTiMB35i3FiGJaRfwb3Pyn/j3m/bfAvGe8FB7CF6u+LMYqYlDh7reQf7UNvoTvdfAqHGmPGOSsPmA==
+ts-api-utils@^2.5.0:
+  version "2.5.0"
+  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
+  integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==

 tsconfig-paths@^3.15.0:
  version "3.15.0"
@@ -1880,17 +1815,17 @@ tsconfig-paths@^3.15.0:
    minimist "^1.2.6"
    strip-bom "^3.0.0"

-turbo@^2.8.20:
-  version "2.8.20"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.20.tgz#1632aff5453240f5e96597b6439cc7e70cd871e8"
-  integrity sha512-Rb4qk5YT8RUwwdXtkLpkVhNEe/lor6+WV7S5tTlLpxSz6MjV5Qi8jGNn4gS6NAvrYGA/rNrE6YUQM85sCZUDbQ==
+turbo@^2.9.3:
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
+  integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
  optionalDependencies:
-    "@turbo/darwin-64" "2.8.20"
-    "@turbo/darwin-arm64" "2.8.20"
-    "@turbo/linux-64" "2.8.20"
-    "@turbo/linux-arm64" "2.8.20"
-    "@turbo/windows-64" "2.8.20"
-    "@turbo/windows-arm64" "2.8.20"
+    "@turbo/darwin-64" "2.9.3"
+    "@turbo/darwin-arm64" "2.9.3"
+    "@turbo/linux-64" "2.9.3"
+    "@turbo/linux-arm64" "2.9.3"
+    "@turbo/windows-64" "2.9.3"
+    "@turbo/windows-arm64" "2.9.3"

 type-check@^0.4.0, type-check@~0.4.0:
  version "0.4.0"
@@ -1966,7 +1901,7 @@ uri-js@^4.2.2:
  dependencies:
    punycode "^2.1.0"

-uuid@^10.0.0:
+uuid@10.0.0, uuid@^10.0.0:
  version "10.0.0"
  resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
@@ -1 +1 @@
-__version__ = "0.4.19"
+__version__ = "0.4.23"
@@ -26,8 +26,15 @@ class LogData(TypedDict):
    params: dict[str, Any]


-def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
-    params = {}
+def get_anonymized_params(
+    kwargs: dict[str, Any], *, cli_command: str
+) -> dict[str, bool | str]:
+    params: dict[str, bool | str] = {}
+
+    if cli_command == "deploy" and (
+        analytics_source := os.getenv("LANGGRAPH_CLI_ANALYTICS_SOURCE")
+    ):
+        params["source"] = analytics_source

    # anonymize params with values
    if config := kwargs.get("config"):
@@ -88,7 +95,7 @@ def log_command(func):
            "python_version": platform.python_version(),
            "cli_version": __version__,
            "cli_command": func.__name__,
-            "params": get_anonymized_params(kwargs),
+            "params": get_anonymized_params(kwargs, cli_command=func.__name__),
        }

        background_thread = threading.Thread(target=log_data, args=(data,))
@@ -817,6 +817,48 @@ def dev(
    )


+# ---------------------------------------------------------------------------
+# validate command
+# ---------------------------------------------------------------------------
+
+
+@OPT_CONFIG
+@cli.command(help="✅ Validate the LangGraph configuration file.")
+@log_command
+def validate(config: pathlib.Path):
+    import json
+
+    try:
+        with open(config) as f:
+            raw_config = json.load(f)
+    except json.JSONDecodeError as e:
+        raise click.UsageError(f"Invalid JSON in {config}: {e.args[0]}") from None
+
+    # Check for unknown keys before validation so they show alongside any error.
+    unknown_warnings = langgraph_cli.config.get_unknown_keys(raw_config)
+
+    try:
+        config_json = langgraph_cli.config.validate_config_file(config)
+    except (click.UsageError, ValueError) as e:
+        click.secho(f"Error: {e}", fg="red", err=True)
+        if unknown_warnings:
+            click.echo(err=True)
+            for warning in unknown_warnings:
+                click.secho(f"  warning: {warning}", fg="yellow", err=True)
+        raise SystemExit(1) from None
+
+    num_graphs = len(config_json.get("graphs", {}))
+    click.secho(
+        f"Configuration file {config} is valid. "
+        f"({num_graphs} graph{'s' if num_graphs != 1 else ''} found)",
+        fg="green",
+    )
+    if unknown_warnings:
+        click.echo()
+        for warning in unknown_warnings:
+            click.secho(f"  warning: {warning}", fg="yellow")
+
+
 # ---------------------------------------------------------------------------
 # new command
 # ---------------------------------------------------------------------------
@@ -3,6 +3,7 @@ import json
 import os
 import pathlib
 import re
+import shlex
 import textwrap
 from collections import Counter
 from typing import Literal, NamedTuple
@@ -10,6 +11,7 @@ from typing import Literal, NamedTuple
 import click

 from langgraph_cli.schemas import Config, Distros
+from langgraph_cli.uv_lock import python_config_to_docker_uv_lock

 MIN_NODE_VERSION = "20"
 DEFAULT_NODE_VERSION = "20"
@@ -139,6 +141,14 @@ def _is_node_graph(spec: str | dict) -> bool:
    ]


+def _get_source_kind(config: Config) -> str | None:
+    source = config.get("source")
+    if not isinstance(source, dict):
+        return None
+    kind = source.get("kind")
+    return kind if isinstance(kind, str) else None
+
+
 def validate_config(config: Config) -> Config:
    """Validate a configuration dictionary."""

@@ -157,6 +167,8 @@ def validate_config(config: Config) -> Config:
    image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
    internal_docker_tag = config.get("_INTERNAL_docker_tag")
    api_version = config.get("api_version")
+    legacy_project_root = config.get("project_root")
+    legacy_package = config.get("package")
    if internal_docker_tag:
        if api_version:
            raise click.UsageError(
@@ -170,13 +182,18 @@ def validate_config(config: Config) -> Config:
                    "Version must be major or major.minor or major.minor.patch."
                )
        except TypeError:
-            raise click.UsageError(f"Invalid version format: {api_version}") from None
+            raise click.UsageError(
+                f"Invalid version format: {api_version}.\n\n"
+                "Pin to a minor version, e.g.:\n"
+                '  "api_version": "0.8"'
+            ) from None

    config = {
        "node_version": node_version,
        "python_version": python_version,
        "pip_config_file": config.get("pip_config_file"),
        "pip_installer": config.get("pip_installer", "auto"),
+        "source": config.get("source"),
        "base_image": config.get("base_image"),
        "image_distro": image_distro,
        "dependencies": config.get("dependencies", []),
@@ -207,25 +224,51 @@ def validate_config(config: Config) -> Config:
            if major < min_major:
                raise click.UsageError(
                    f"Node.js version {node_version} is not supported. "
-                    f"Minimum required version is {MIN_NODE_VERSION}."
+                    f"Minimum required version is {MIN_NODE_VERSION}.\n\n"
+                    f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
+                    f'  "node_version": "{MIN_NODE_VERSION}"'
                )
        except ValueError as e:
            raise click.UsageError(str(e)) from None

+    if pip_installer := config.get("pip_installer"):
+        if pip_installer not in ["auto", "pip", "uv"]:
+            raise click.UsageError(
+                f"Invalid pip_installer: '{pip_installer}'. "
+                "Consider using uv-based source management instead:\n\n"
+                '  "source": {"kind": "uv", "root": ".."}'
+            )
+
+    source = config.get("source")
+    source_kind = _get_source_kind(config)
+    if source is not None and not isinstance(source, dict):
+        raise click.UsageError(
+            "`source` must be an object, e.g.:\n"
+            '  "source": {"kind": "uv", "root": ".."}'
+        )
+    if source is not None and source_kind != "uv":
+        raise click.UsageError(
+            "Invalid source.kind. The only supported value is 'uv':\n"
+            '  "source": {"kind": "uv", "root": ".."}'
+        )
+
    if config.get("python_version"):
        pyversion = config["python_version"]
        if not pyversion.count(".") == 1 or not all(
            part.isdigit() for part in pyversion.split("-")[0].split(".")
        ):
+            parts = pyversion.split("-")[0].split(".")
+            fix = f"{parts[0]}.{parts[1]}" if len(parts) >= 2 else MIN_PYTHON_VERSION
            raise click.UsageError(
                f"Invalid Python version format: {pyversion}. "
-                "Use 'major.minor' format (e.g., '3.11'). "
-                "Patch version cannot be specified."
+                "Use 'major.minor' format — patch version cannot be specified.\n\n"
+                f'  "python_version": "{fix}"'
            )
        if _parse_version(pyversion) < _parse_version(MIN_PYTHON_VERSION):
            raise click.UsageError(
                f"Python version {pyversion} is not supported. "
-                f"Minimum required version is {MIN_PYTHON_VERSION}."
+                f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
+                f'  "python_version": "{MIN_PYTHON_VERSION}"'
            )
        if "bullseye" in pyversion:
            raise click.UsageError(
@@ -233,15 +276,19 @@ def validate_config(config: Config) -> Config:
                "Please use 'bookworm' or 'debian' instead."
            )

-        if not config["dependencies"]:
+        if source_kind != "uv" and not config["dependencies"]:
            raise click.UsageError(
                "No dependencies found in config. "
-                "Add at least one dependency to 'dependencies' list."
+                "Consider using uv-based source management:\n\n"
+                '  "source": {"kind": "uv", "root": ".."}'
            )

    if not config.get("graphs"):
        raise click.UsageError(
-            "No graphs found in config. Add at least one graph to 'graphs' dictionary."
+            "No graphs found in config. Add at least one graph, e.g.:\n"
+            '  "graphs": {\n'
+            '    "agent": "./my_agent/graph.py:graph"\n'
+            "  }"
        )

    # Validate image_distro config
@@ -254,15 +301,46 @@ def validate_config(config: Config) -> Config:
        if image_distro not in Distros.__args__:
            raise click.UsageError(
                f"Invalid image_distro: '{image_distro}'. "
-                "Must be one of 'debian', 'wolfi', or 'bookworm'."
+                f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
+                '  "image_distro": "wolfi"  (recommended)'
            )

-    if pip_installer := config.get("pip_installer"):
-        if pip_installer not in ["auto", "pip", "uv"]:
-            raise click.UsageError(
-                f"Invalid pip_installer: '{pip_installer}'. "
-                "Must be 'auto', 'pip', or 'uv'."
+    if source_kind == "uv":
+        errors: list[str] = []
+        if not config.get("python_version"):
+            errors.append(
+                "source.kind 'uv' requires `python_version` — "
+                "it is a Python-only deployment mode. "
+                "Node.js-only graphs are not supported."
            )
+        if config["dependencies"]:
+            errors.append(
+                "Remove `dependencies` from your config. With "
+                '`source.kind = "uv"`, all dependencies '
+                "are read from your pyproject.toml and uv.lock instead."
+            )
+        root = source.get("root", ".") if source else "."
+        if not isinstance(root, str):
+            errors.append(f"`source.root` must be a string, got {type(root).__name__}.")
+        elif not root.strip():
+            errors.append('`source.root` must be a non-empty string. Use `"."`.')
+        package_name = source.get("package") if source else None
+        if package_name is not None and (
+            not isinstance(package_name, str) or not package_name.strip()
+        ):
+            errors.append("`source.package` must be a non-empty string.")
+        if errors:
+            detail = "\n".join(f"  - {e}" for e in errors)
+            raise click.UsageError(
+                "source.kind 'uv' requires a different "
+                f"config shape than dependency-based installs:\n{detail}"
+            )
+
+    if legacy_project_root or legacy_package:
+        raise click.UsageError(
+            "Top-level `project_root` and `package` are no longer supported. "
+            "Use `source.root` and `source.package` instead."
+        )

    # Validate auth config
    if auth_conf := config.get("auth"):
@@ -306,6 +384,51 @@ def validate_config(config: Config) -> Config:
    return config


+# Keys recognized by validate_config (used to detect unknown fields).
+_KNOWN_CONFIG_KEYS = {
+    "python_version",
+    "node_version",
+    "api_version",
+    "base_image",
+    "image_distro",
+    "pip_config_file",
+    "pip_installer",
+    "source",
+    "dependencies",
+    "dockerfile_lines",
+    "graphs",
+    "env",
+    "store",
+    "auth",
+    "encryption",
+    "http",
+    "webhooks",
+    "checkpointer",
+    "ui",
+    "ui_config",
+    "keep_pkg_tools",
+    # Internal / legacy (still recognized, may error separately)
+    "_INTERNAL_docker_tag",
+    "project_root",
+    "package",
+}
+
+
+def get_unknown_keys(raw_config: dict) -> list[str]:
+    """Return warnings for unrecognized top-level keys (typos, etc.)."""
+    import difflib
+
+    unknown = set(raw_config) - _KNOWN_CONFIG_KEYS
+    warnings: list[str] = []
+    for key in sorted(unknown):
+        close = difflib.get_close_matches(key, _KNOWN_CONFIG_KEYS, n=1)
+        if close:
+            warnings.append(f"Unknown key '{key}' — did you mean '{close[0]}'?")
+        else:
+            warnings.append(f"Unknown key '{key}' is not a recognized config field.")
+    return warnings
+
+
 def validate_config_file(config_path: pathlib.Path) -> Config:
    """Load and validate a configuration file."""
    with open(config_path) as f:
@@ -807,9 +930,65 @@ def _update_http_app_path(
        http_config["app"] = f"{module_str}:{attr_str}"


-def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
+def _build_python_install_commands(
+    config: Config, install_cmd: str
+) -> tuple[str, str, str]:
+    base_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
+    local_reqs_pip_install = base_install
+    global_reqs_pip_install = base_install
+
+    if config.get("pip_config_file"):
+        local_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
+        )
+        global_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
+        )
+
+    pip_config_file_str = (
+        f"ADD {config['pip_config_file']} /pipconfig.txt"
+        if config.get("pip_config_file")
+        else ""
+    )
+    return local_reqs_pip_install, global_reqs_pip_install, pip_config_file_str
+
+
+def _build_runtime_env_vars(config: Config) -> list[str]:
+    env_vars = []
+
+    if (store_config := config.get("store")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
+
+    if (auth_config := config.get("auth")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
+
+    if (encryption_config := config.get("encryption")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
+
+    if (http_config := config.get("http")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
+
+    if (webhooks_config := config.get("webhooks")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
+
+    if (checkpointer_config := config.get("checkpointer")) is not None:
+        env_vars.append(
+            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
+        )
+
+    if (ui := config.get("ui")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
+
+    if (ui_config := config.get("ui_config")) is not None:
+        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
+
+    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    return env_vars
+
+
+def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
    def test_file(file_name):
-        full_path = config_path.parent / file_name
+        full_path = project_dir / file_name
        try:
            return full_path.is_file()
        except OSError:
@@ -818,7 +997,7 @@ def _get_node_pm_install_cmd(config_path: pathlib.Path, config: Config) -> str:
    # inspired by `package-manager-detector`
    def get_pkg_manager_name():
        try:
-            with open(config_path.parent / "package.json") as f:
+            with open(project_dir / "package.json") as f:
                pkg = json.load(f)

                if (pkg_manager_name := pkg.get("packageManager")) and isinstance(
@@ -914,8 +1093,17 @@ def python_config_to_docker(
    escape_variables: bool = False,
 ) -> tuple[str, dict[str, str]]:
    """Generate a Dockerfile from the configuration."""
+    source_kind = _get_source_kind(config)
    pip_installer = config.get("pip_installer", "auto")
    build_tools_to_uninstall = get_build_tools_to_uninstall(config)
+    if source_kind == "uv":
+        return python_config_to_docker_uv_lock(
+            config_path,
+            config,
+            base_image,
+            api_version=api_version,
+            build_tools_to_uninstall=build_tools_to_uninstall,
+        )
    if pip_installer == "auto":
        if _image_supports_uv(base_image):
            pip_installer = "uv"
@@ -928,21 +1116,11 @@ def python_config_to_docker(
    else:
        raise ValueError(f"Invalid pip_installer: {pip_installer}")

-    # configure pip
-    local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
-    global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
-    if config.get("pip_config_file"):
-        local_reqs_pip_install = (
-            f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
-        )
-        global_reqs_pip_install = (
-            f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
-        )
-    pip_config_file_str = (
-        f"ADD {config['pip_config_file']} /pipconfig.txt"
-        if config.get("pip_config_file")
-        else ""
-    )
+    (
+        local_reqs_pip_install,
+        global_reqs_pip_install,
+        pip_config_file_str,
+    ) = _build_python_install_commands(config, install_cmd)

    # collect dependencies
    pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")]
@@ -998,7 +1176,7 @@ RUN set -ex && \\
                '[build-system]' \\
                'requires = ["setuptools>=61"]' \\
                'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
+        echo "$line" >> {shlex.quote(f"/deps/outer-{fullpath.name}/pyproject.toml")}; \\
    done
 # -- End of non-package dependency {fullpath.name} --"""
        for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1017,56 +1195,50 @@ ADD {relpath} /deps/{name}
        for fullpath, (relpath, name) in local_deps.real_pkgs.items()
    )

+    additional_contexts: dict[str, str] = {}
+    additional_context_names: dict[pathlib.Path, str] = {}
+    used_context_names: set[str] = set()
+
+    def register_additional_context(path: pathlib.Path, preferred_name: str) -> str:
+        if path in additional_context_names:
+            return additional_context_names[path]
+
+        name = preferred_name
+        suffix = 1
+        while name in used_context_names:
+            name = f"{preferred_name}_{suffix}"
+            suffix += 1
+
+        used_context_names.add(name)
+        additional_context_names[path] = name
+        additional_contexts[name] = str(path)
+        return name
+
+    for p in local_deps.additional_contexts:
+        if p in local_deps.real_pkgs:
+            preferred_name = local_deps.real_pkgs[p][1]
+        elif p in local_deps.faux_pkgs:
+            preferred_name = f"outer-{p.name}"
+        else:
+            raise RuntimeError(f"Unknown additional context: {p}")
+        register_additional_context(p, preferred_name)
+
    install_node_str: str = (
        "RUN /storage/install-node.sh"
        if (config.get("ui") or config.get("node_version")) and local_deps.working_dir
        else ""
    )

+    install_steps = [install_node_str, pip_config_file_str, pip_pkgs_str, pip_reqs_str]
+    install_steps.extend([local_pkgs_str, faux_pkgs_str])
    installs = f"{os.linesep}{os.linesep}".join(
        filter(
            None,
-            [
-                install_node_str,
-                pip_config_file_str,
-                pip_pkgs_str,
-                pip_reqs_str,
-                local_pkgs_str,
-                faux_pkgs_str,
-            ],
+            install_steps,
        )
    )

-    env_vars = []
-
-    if (store_config := config.get("store")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
-
-    if (auth_config := config.get("auth")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
-
-    if (encryption_config := config.get("encryption")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
-
-    if (http_config := config.get("http")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
-
-    # Inject webhooks configuration if provided
-    if (webhooks_config := config.get("webhooks")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
-
-    if (checkpointer_config := config.get("checkpointer")) is not None:
-        env_vars.append(
-            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
-        )
-
-    if (ui := config.get("ui")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
-
-    if (ui_config := config.get("ui_config")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
-
-    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    env_vars = _build_runtime_env_vars(config)

    js_inst_str: str = ""
    if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
@@ -1074,7 +1246,8 @@ ADD {relpath} /deps/{name}
            [
                "# -- Installing JS dependencies --",
                f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
-                f"RUN cd {local_deps.working_dir} && {_get_node_pm_install_cmd(config_path, config)} && tsx /api/langgraph_api/js/build.mts",
+                f"WORKDIR {local_deps.working_dir}",
+                f"RUN {_get_node_pm_install_cmd(config_path.parent)} && tsx /api/langgraph_api/js/build.mts",
                "# -- End of JS dependencies install --",
            ]
        )
@@ -1084,7 +1257,7 @@ ADD {relpath} /deps/{name}
    docker_file_contents = []

    # Add syntax directive if we have additional contexts (requires BuildKit frontend.contexts capability)
-    if local_deps.additional_contexts:
+    if additional_contexts:
        docker_file_contents.extend(
            [
                "# syntax=docker/dockerfile:1.4",
@@ -1094,6 +1267,13 @@ ADD {relpath} /deps/{name}

    # Add main dockerfile content
    dep_vname = "$$dep" if escape_variables else "$dep"
+    local_deps_install_str = f"""RUN for dep in /deps/*; do \
+            echo "Installing {dep_vname}"; \
+            if [ -d "{dep_vname}" ]; then \
+                echo "Installing {dep_vname}"; \
+                (cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
+            fi; \
+        done"""
    docker_file_contents.extend(
        [
            f"FROM {image_str}",
@@ -1103,13 +1283,7 @@ ADD {relpath} /deps/{name}
            installs,
            "",
            "# -- Installing all local dependencies --",
-            f"""RUN for dep in /deps/*; do \
-            echo "Installing {dep_vname}"; \
-            if [ -d "{dep_vname}" ]; then \
-                echo "Installing {dep_vname}"; \
-                (cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
-            fi; \
-        done""",
+            local_deps_install_str,
            "# -- End of local dependencies install --",
            os.linesep.join(env_vars),
            "",
@@ -1126,16 +1300,6 @@ ADD {relpath} /deps/{name}
        ]
    )

-    additional_contexts: dict[str, str] = {}
-    for p in local_deps.additional_contexts:
-        if p in local_deps.real_pkgs:
-            name = local_deps.real_pkgs[p][1]
-        elif p in local_deps.faux_pkgs:
-            name = f"outer-{p.name}"
-        else:
-            raise RuntimeError(f"Unknown additional context: {p}")
-        additional_contexts[name] = str(p)
-
    return os.linesep.join(docker_file_contents), additional_contexts


@@ -1149,6 +1313,10 @@ def node_config_to_docker(
    build_context: str | None = None,
 ) -> tuple[str, dict[str, str]]:
    # Calculate paths for monorepo support
+    install_root = (
+        pathlib.Path(build_context).resolve() if build_context else config_path.parent
+    )
+    install_cmd = install_command or _get_node_pm_install_cmd(install_root)
    if build_context:
        relative_workdir = _calculate_relative_workdir(config_path, build_context)
        container_name = pathlib.Path(build_context).name
@@ -1160,60 +1328,32 @@ def node_config_to_docker(
        # Backward compatibility: use the original behavior
        faux_path = f"/deps/{config_path.parent.name}"

-    # Use custom install command or auto-detect
-    if install_command:
-        install_cmd = install_command
-    else:
-        install_cmd = _get_node_pm_install_cmd(config_path, config)
-
    image_str = docker_tag(config, base_image, api_version)

-    env_vars: list[str] = []
-
-    if (store_config := config.get("store")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
-
-    if (auth_config := config.get("auth")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
-
-    if (encryption_config := config.get("encryption")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
-
-    if (http_config := config.get("http")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
-
-    # Inject webhooks configuration if provided
-    if (webhooks_config := config.get("webhooks")) is not None:
-        env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
-
-    if (checkpointer_config := config.get("checkpointer")) is not None:
-        env_vars.append(
-            f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
-        )
-
-    if ui := config.get("ui"):
-        env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
-
-    if ui_config := config.get("ui_config"):
-        env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
-
-    env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
+    env_vars = _build_runtime_env_vars(config)

    # For monorepo support, we need to handle install and build commands differently
    if build_context:
        # Monorepo case: install from root, build from config directory
        container_root = f"/deps/{pathlib.Path(build_context).name}"
-        install_step = f"RUN cd {container_root} && {install_cmd}"
+        install_workdir = container_root
+        install_step = f"RUN {install_cmd}"

        if build_command:
-            build_step = f"RUN cd {faux_path} && {build_command}"
+            build_step = f"RUN {build_command}"
        else:
            build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
    else:
        # Original behavior: everything happens in the same directory
-        install_step = f"RUN cd {faux_path} && {install_cmd}"
+        install_workdir = faux_path
+        install_step = f"RUN {install_cmd}"
        build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'

+    if build_context:
+        build_workdir = faux_path
+    else:
+        build_workdir = faux_path
+
    docker_file_contents = [
        f"FROM {image_str}",
        "",
@@ -1221,11 +1361,13 @@ def node_config_to_docker(
        "",
        f"ADD . {faux_path if not build_context else container_root}",
        "",
+        f"WORKDIR {install_workdir}",
+        "",
        install_step,
        "",
        os.linesep.join(env_vars),
        "",
-        f"WORKDIR {faux_path}",
+        f"WORKDIR {build_workdir}",
        "",
        build_step,
    ]
@@ -1,5 +1,7 @@
 from typing import Any, Literal, TypedDict

+from typing_extensions import Required
+
 Distros = Literal["debian", "wolfi", "bookworm"]
 MiddlewareOrders = Literal["auth_first", "middleware_first"]

@@ -9,20 +11,20 @@ class TTLConfig(TypedDict, total=False):

    refresh_on_read: bool
    """Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
-    
+
    If `True`, TTLs will be refreshed on read operations (get/search) by default.
    This can be overridden per-operation by explicitly setting `refresh_ttl`.
    Defaults to `True` if not configured.
    """
    default_ttl: float | None
    """Optional. Default TTL (time-to-live) in minutes for new items.
-    
+
    If provided, all new items will have this TTL unless explicitly overridden.
    If omitted, items will have no TTL by default.
    """
    sweep_interval_minutes: int | None
    """Optional. Interval in minutes between TTL sweep iterations.
-    
+
    If provided, the store will periodically delete expired items based on the TTL.
    If omitted, no automatic sweeping will occur.
    """
@@ -36,10 +38,10 @@ class IndexConfig(TypedDict, total=False):

    dims: int
    """Required. Dimensionality of the embedding vectors you will store.
-    
+
    Must match the output dimension of your selected embedding model or custom embed function.
    If mismatched, you will likely encounter shape/size errors when inserting or querying vectors.
-    
+
    Common embedding model output dimensions:
        - openai:text-embedding-3-large: 3072
        - openai:text-embedding-3-small: 1536
@@ -52,7 +54,7 @@ class IndexConfig(TypedDict, total=False):

    embed: str
    """Required. Identifier or reference to the embedding model or a custom embedding function.
-    
+
    The format can vary:
      - "<provider>:<model_name>" for recognized providers (e.g., "openai:text-embedding-3-large")
      - "path/to/module.py:function_name" for your own local embedding function
@@ -62,17 +64,17 @@ class IndexConfig(TypedDict, total=False):
        - "openai:text-embedding-3-large"
        - "cohere:embed-multilingual-v3.0"
        - "src/app.py:embeddings"
-    
+
    Note: Must return embeddings of dimension `dims`.
    """

    fields: list[str] | None
    """Optional. List of JSON fields to extract before generating embeddings.
-    
+
    Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
    If you provide multiple fields (e.g. ["title", "content"]), each is extracted and embedded separately,
    often saving token usage if you only care about certain parts of the data.
-    
+
    Example:
        fields=["title", "abstract", "author.biography"]
    """
@@ -87,18 +89,18 @@ class StoreConfig(TypedDict, total=False):

    index: IndexConfig | None
    """Optional. Defines the vector-based semantic search configuration.
-    
+
    If provided, the store will:
      - Generate embeddings according to `index.embed`
      - Enforce the embedding dimension given by `index.dims`
      - Embed only specified JSON fields (if any) from `index.fields`
-    
+
    If omitted, no vector index is initialized.
    """

    ttl: TTLConfig | None
    """Optional. Defines the TTL (time-to-live) behavior configuration.
-    
+
    If provided, the store will apply TTL settings according to the configuration.
    If omitted, no TTL behavior is configured.
    """
@@ -129,11 +131,11 @@ class SerdeConfig(TypedDict, total=False):

    allowed_json_modules: list[list[str]] | bool | None
    """Optional. List of allowed python modules to de-serialize custom objects from JSON.
-    
+
    If provided, only the specified modules will be allowed to be deserialized.
    If omitted, no modules are allowed, and the object returned will simply be a json object OR
    a deserialized langchain object.
-    
+
    Example:
    {...
        "serde": {
@@ -178,11 +180,11 @@ class SerdeConfig(TypedDict, total=False):
            "allowed_msgpack_modules": null
        }
    }
-    
+
    """
    pickle_fallback: bool
    """Optional. Whether to allow pickling as a fallback for deserialization.
-    
+
    If True, pickling will be allowed as a fallback for deserialization.
    If False, pickling will not be allowed as a fallback for deserialization.
    Defaults to True if not configured."""
@@ -216,7 +218,7 @@ class CheckpointerConfig(TypedDict, total=False):

    ttl: ThreadTTLConfig | None
    """Optional. Defines the TTL (time-to-live) behavior configuration.
-    
+
    If provided, the checkpointer will apply TTL settings according to the configuration.
    If omitted, no TTL behavior is configured.
    """
@@ -239,7 +241,7 @@ class SecurityConfig(TypedDict, total=False):

    securitySchemes: dict[str, dict[str, Any]]
    """Describe each security scheme recognized by your OpenAPI spec.
-    
+
    Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
    Example:
        {
@@ -256,7 +258,7 @@ class SecurityConfig(TypedDict, total=False):
    """
    security: list[dict[str, list[str]]]
    """Global security requirements across all endpoints.
-    
+
    Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
    Example:
        [
@@ -267,11 +269,11 @@ class SecurityConfig(TypedDict, total=False):
    # path => {method => security}
    paths: dict[str, dict[str, list[dict[str, list[str]]]]]
    """Path-specific security overrides.
-    
+
    Keys are path templates (e.g., "/items/{item_id}"), mapping to:
      - Keys that are HTTP methods (e.g., "GET", "POST"),
      - Values are lists of security definitions (just like `security`) for that method.
-    
+
    Example:
        {
            "/private_data": {
@@ -285,19 +287,19 @@ class SecurityConfig(TypedDict, total=False):
 class CacheConfig(TypedDict, total=False):
    cache_keys: list[str]
    """Optional. List of header keys to use for caching.
-    
+
    Example:
        ["user_id", "workspace_id"]
    """
    ttl_seconds: int
    """Optional. Time-to-live in seconds for cached items.
-    
+
    Example:
        3600
    """
    max_size: int
    """Optional. Maximum size of the cache.
-    
+
    Example:
        100
    """
@@ -308,19 +310,19 @@ class AuthConfig(TypedDict, total=False):

    path: str
    """Required. Path to an instance of the Auth() class that implements custom authentication.
-    
+
    Format: "path/to/file.py:my_auth"
    """
    disable_studio_auth: bool
-    """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio. 
-    
+    """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
+
    Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
    value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
    authentication logic, regardless of origin of the request.
    """
    openapi: SecurityConfig
    """The security configuration to include in your server's OpenAPI spec.
-    
+
    Example (OAuth2):
        {
            "securitySchemes": {
@@ -341,7 +343,7 @@ class AuthConfig(TypedDict, total=False):
    """
    cache: CacheConfig
    """Optional. Cache configuration for the server.
-    
+
    Example:
        {
            "cache_keys": ["user_id", "workspace_id"],
@@ -380,32 +382,32 @@ class CorsConfig(TypedDict, total=False):

    allow_origins: list[str]
    """Optional. List of allowed origins (e.g., "https://example.com").
-    
-    Default is often an empty list (no external origins). 
+
+    Default is often an empty list (no external origins).
    Use "*" only if you trust all origins, as that bypasses most restrictions.
    """
    allow_methods: list[str]
    """Optional. HTTP methods permitted for cross-origin requests (e.g. ["GET", "POST"]).
-    
+
    Default might be ["GET", "POST", "OPTIONS"] depending on your server framework.
    """
    allow_headers: list[str]
    """Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
    allow_credentials: bool
    """Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
-    
+
    Default False to avoid accidentally exposing secured endpoints to untrusted sites.
    """
    allow_origin_regex: str
    """Optional. A regex pattern for matching allowed origins, used if you have dynamic subdomains.
-    
+
    Example: "^https://.*\\.mycompany\\.com$"
    """
    expose_headers: list[str]
    """Optional. List of headers that browsers are allowed to read from the response in cross-origin contexts."""
    max_age: int
    """Optional. How many seconds the browser may cache preflight responses.
-    
+
    Default might be 600 (10 minutes). Larger values reduce preflight requests but can cause stale configurations.
    """

@@ -442,61 +444,61 @@ class HttpConfig(TypedDict, total=False):

    app: str
    """Optional. Import path to a custom Starlette/FastAPI application to mount.
-    
+
    Format: "path/to/module.py:app_var"
    If provided, it can override or extend the default routes.
    """
    disable_assistants: bool
    """Optional. If `True`, /assistants routes are removed from the server.
-    
+
    Default is False (meaning /assistants is enabled).
    """
    disable_threads: bool
    """Optional. If `True`, /threads routes are removed.
-    
+
    Default is False.
    """
    disable_runs: bool
    """Optional. If `True`, /runs routes are removed.
-    
+
    Default is False.
    """
    disable_store: bool
    """Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
-    
+
    Default is False.
    """
    disable_mcp: bool
    """Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
-    
+
    Default is False.
    """
    disable_a2a: bool
    """Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
-    
+
    Default is False.
    """
    disable_meta: bool
    """Optional. Remove meta endpoints.
-    
+
    Set to True to disable the following endpoints: /openapi.json, /info, /metrics, /docs.
    This will also make the /ok endpoint skip any DB or other checks, always returning {"ok": True}.
-    
+
    Default is False.
    """
    disable_ui: bool
    """Optional. If `True`, /ui routes are removed, disabling the UI server.
-    
+
    Default is False.
    """
    disable_webhooks: bool
    """Optional. If `True`, webhooks are disabled. Runs created with an associated webhook will
    still be executed, but the webhook event will not be sent.
-    
+
    Default is False.
    """
    cors: CorsConfig | None
-    """Optional. Defines CORS restrictions. If omitted, no special rules are set and 
+    """Optional. Defines CORS restrictions. If omitted, no special rules are set and
    cross-origin behavior depends on default server settings.
    """
    configurable_headers: ConfigurableHeaderConfig | None
@@ -527,7 +529,7 @@ class HttpConfig(TypedDict, total=False):
    """
    mount_prefix: str
    """Optional. URL prefix to prepend to all the routes.
-    
+
    Example:
        "/api"
    """
@@ -588,11 +590,33 @@ class WebhooksConfig(TypedDict, total=False):
    """


+class UvSource(TypedDict, total=False):
+    """Deployment source rooted at a uv project or workspace."""
+
+    kind: Required[Literal["uv"]]
+    """Discriminator for uv-backed deployment mode."""
+
+    root: str
+    """Relative path from langgraph.json to the authoritative uv project root.
+
+    The resolved directory must contain `pyproject.toml` and `uv.lock`. If the
+    root is a workspace, package discovery happens within this root.
+    """
+
+    package: str
+    """Optional. Workspace package name to deploy when the target is ambiguous.
+
+    If omitted, the CLI tries to infer the target package from the location of
+    `langgraph.json`, or falls back to the only package if the root contains
+    exactly one candidate.
+    """
+
+
 class Config(TypedDict, total=False):
    """Top-level config for langgraph-cli or similar deployment tooling."""

    python_version: str
-    """Optional. Python version in 'major.minor' format (e.g. '3.11'). 
+    """Optional. Python version in 'major.minor' format (e.g. '3.11').
    Must be at least 3.11 or greater for this deployment to function properly.
    """

@@ -603,7 +627,7 @@ class Config(TypedDict, total=False):

    api_version: str | None
    """Optional. Which semantic version of the LangGraph API server to use.
-    
+
    Defaults to latest. Check the
    [changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
    for more information."""
@@ -614,12 +638,12 @@ class Config(TypedDict, total=False):

    base_image: str | None
    """Optional. Base image to use for the LangGraph API server.
-    
+
    Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""

    image_distro: Distros | None
    """Optional. Linux distribution for the base image.
-    
+
    Must be one of 'wolfi', 'debian', or 'bookworm'.
    If omitted, defaults to 'debian' ('latest').
    """
@@ -627,22 +651,30 @@ class Config(TypedDict, total=False):
    pip_config_file: str | None
    """Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
    package installation (custom indices, credentials, etc.).
-    
+
    Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
    """

    pip_installer: str | None
-    """Optional. Python package installer to use ('auto', 'pip', 'uv').
-    
+    """Optional. Python package installer to use ('auto', 'pip', or 'uv').
+
    - 'auto' (default): Use uv for supported base images, otherwise pip
    - 'pip': Force use of pip regardless of base image support
    - 'uv': Force use of uv (will fail if base image doesn't support it)
    """

+    source: UvSource | None
+    """Optional. Explicit deployment source configuration.
+
+    Use `{ "kind": "uv", "root": "." }` to deploy from a uv project rooted at
+    `root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the
+    target is ambiguous, set `package` to the desired workspace member.
+    """
+
    dockerfile_lines: list[str]
    """Optional. Additional Docker instructions that will be appended to your base Dockerfile.
-    
-    Useful for installing OS packages, setting environment variables, etc. 
+
+    Useful for installing OS packages, setting environment variables, etc.
    Example:
        dockerfile_lines=[
            "RUN apt-get update && apt-get install -y libmagic-dev",
@@ -652,12 +684,14 @@ class Config(TypedDict, total=False):

    dependencies: list[str]
    """List of Python dependencies to install, either from PyPI or local paths.
-    
+
    Examples:
      - "." or "./src" if you have a local Python package
      - str (aka "anthropic") for a PyPI package
      - "git+https://github.com/org/repo.git@main" for a Git-based package
    Defaults to an empty list, meaning no additional packages installed beyond your base environment.
+
+    This field is not supported when `source.kind` is `uv`.
    """

    graphs: dict[str, str | GraphDef]
@@ -682,10 +716,10 @@ class Config(TypedDict, total=False):

    env: dict[str, str] | str
    """Optional. Environment variables to set for your deployment.
-    
+
    - If given as a dict, keys are variable names and values are their values.
    - If given as a string, it must be a path to a file containing lines in KEY=VALUE format.
-    
+
    Example as a dict:
        env={"API_TOKEN": "abc123", "DEBUG": "true"}
    Example as a file path:
@@ -694,13 +728,13 @@ class Config(TypedDict, total=False):

    store: StoreConfig | None
    """Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
-    
+
    If omitted, no vector index is set up (the object store will still be present, however).
    """

    checkpointer: CheckpointerConfig | None
    """Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
-    
+
    If omitted, no checkpointer is set up (the object store will still be present, however).
    """

@@ -733,7 +767,7 @@ class Config(TypedDict, total=False):

    keep_pkg_tools: bool | list[str] | None
    """Optional. Control whether to retain Python packaging tools in the final image.
-    
+
    Allowed tools are: "pip", "setuptools", "wheel".
    You can also set to true to include all packaging tools.
    """
@@ -17,12 +17,13 @@ dependencies = [
    "langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
    "pathspec>=0.11.0",
    "python-dotenv>=0.8.0",
+    "tomli>=2.0.1 ; python_version < '3.11'",
 ]
 [tool.hatch.version]
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]

@@ -184,13 +184,28 @@
            "pip_installer": {
              "anyOf": [
                {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                },
                {
                  "type": "null"
                }
              ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
            },
            "store": {
              "anyOf": [
@@ -234,6 +249,240 @@
            "graphs"
          ]
        },
+        {
+          "type": "object",
+          "properties": {
+            "python_version": {
+              "type": "string",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "enum": [
+                "3.11",
+                "3.12",
+                "3.13"
+              ]
+            },
+            "pip_config_file": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
+            },
+            "_INTERNAL_docker_tag": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Internal use only.\n"
+            },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
+            "auth": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/AuthConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
+            },
+            "base_image": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+            },
+            "checkpointer": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/CheckpointerConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
+            },
+            "dependencies": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "List of Python dependencies to install, either from PyPI or local paths.\n"
+            },
+            "dockerfile_lines": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
+            },
+            "encryption": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/EncryptionConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
+            },
+            "env": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+            },
+            "graphs": {
+              "type": "object",
+              "additionalProperties": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
+              },
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
+            },
+            "http": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/HttpConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
+            },
+            "image_distro": {
+              "anyOf": [
+                {
+                  "enum": [
+                    "bookworm",
+                    "debian",
+                    "wolfi"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+            },
+            "keep_pkg_tools": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
+            },
+            "pip_installer": {
+              "anyOf": [
+                {
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "$ref": "#/$defs/UvSource"
+            },
+            "store": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/StoreConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
+            },
+            "ui": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
+            },
+            "webhooks": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/WebhooksConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
+            }
+          },
+          "required": [
+            "graphs",
+            "source"
+          ]
+        },
        {
          "type": "object",
          "properties": {
@@ -405,13 +654,28 @@
            "pip_installer": {
              "anyOf": [
                {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                },
                {
                  "type": "null"
                }
              ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
            },
            "store": {
              "anyOf": [
@@ -906,6 +1170,27 @@
      },
      "required": []
    },
+    "UvSource": {
+      "title": "UvSource",
+      "description": "Deployment source rooted at a uv project or workspace.",
+      "type": "object",
+      "properties": {
+        "kind": {
+          "enum": [
+            "uv"
+          ]
+        },
+        "package": {
+          "type": "string"
+        },
+        "root": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "kind"
+      ]
+    },
    "StoreConfig": {
      "title": "StoreConfig",
      "description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
@@ -184,13 +184,28 @@
            "pip_installer": {
              "anyOf": [
                {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                },
                {
                  "type": "null"
                }
              ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
            },
            "store": {
              "anyOf": [
@@ -234,6 +249,240 @@
            "graphs"
          ]
        },
+        {
+          "type": "object",
+          "properties": {
+            "python_version": {
+              "type": "string",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "enum": [
+                "3.11",
+                "3.12",
+                "3.13"
+              ]
+            },
+            "pip_config_file": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Path to a pip config file (e.g., \"/etc/pip.conf\" or \"pip.ini\") for controlling\npackage installation (custom indices, credentials, etc.).\n\nOnly relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.\n"
+            },
+            "_INTERNAL_docker_tag": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Internal use only.\n"
+            },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
+            "auth": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/AuthConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom authentication config, including the path to your Python auth logic and\nthe OpenAPI security definitions it uses.\n"
+            },
+            "base_image": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+            },
+            "checkpointer": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/CheckpointerConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).\n"
+            },
+            "dependencies": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "List of Python dependencies to install, either from PyPI or local paths.\n"
+            },
+            "dockerfile_lines": {
+              "type": "array",
+              "items": {
+                "type": "string"
+              },
+              "description": "Optional. Additional Docker instructions that will be appended to your base Dockerfile.\n\nUseful for installing OS packages, setting environment variables, etc."
+            },
+            "encryption": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/EncryptionConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Custom at-rest encryption config, including the path to your Python encryption logic.\n\nAllows you to implement custom encryption for sensitive data stored in the database.\n"
+            },
+            "env": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "string"
+                }
+              ],
+              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+            },
+            "graphs": {
+              "type": "object",
+              "additionalProperties": {
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
+              },
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
+            },
+            "http": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/HttpConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed\nand how cross-origin requests are handled.\n"
+            },
+            "image_distro": {
+              "anyOf": [
+                {
+                  "enum": [
+                    "bookworm",
+                    "debian",
+                    "wolfi"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+            },
+            "keep_pkg_tools": {
+              "anyOf": [
+                {
+                  "type": "boolean"
+                },
+                {
+                  "type": "array",
+                  "items": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Control whether to retain Python packaging tools in the final image.\n\nYou can also set to true to include all packaging tools.\n"
+            },
+            "pip_installer": {
+              "anyOf": [
+                {
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "$ref": "#/$defs/UvSource"
+            },
+            "store": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/StoreConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Configuration for the built-in long-term memory store, including semantic search indexing.\n\nIf omitted, no vector index is set up (the object store will still be present, however).\n"
+            },
+            "ui": {
+              "anyOf": [
+                {
+                  "type": "object",
+                  "additionalProperties": {
+                    "type": "string"
+                  }
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.\n"
+            },
+            "webhooks": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/WebhooksConfig"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Webhooks configuration for outbound event delivery.\n\nForwarded into the container as `LANGGRAPH_WEBHOOKS`. See `WebhooksConfig`\nfor URL policy and header templating details.\n"
+            }
+          },
+          "required": [
+            "graphs",
+            "source"
+          ]
+        },
        {
          "type": "object",
          "properties": {
@@ -405,13 +654,28 @@
            "pip_installer": {
              "anyOf": [
                {
-                  "type": "string"
+                  "type": "string",
+                  "enum": [
+                    "auto",
+                    "pip",
+                    "uv"
+                  ]
+                },
+                {
+                  "type": "null"
+                }
+              ]
+            },
+            "source": {
+              "anyOf": [
+                {
+                  "$ref": "#/$defs/UvSource"
                },
                {
                  "type": "null"
                }
              ],
-              "description": "Optional. Python package installer to use ('auto', 'pip', 'uv').\n\n"
+              "description": "Optional. Explicit deployment source configuration.\n\n`root/pyproject.toml` and `root/uv.lock`. If `root` is a workspace and the\ntarget is ambiguous, set `package` to the desired workspace member.\n"
            },
            "store": {
              "anyOf": [
@@ -906,6 +1170,27 @@
      },
      "required": []
    },
+    "UvSource": {
+      "title": "UvSource",
+      "description": "Deployment source rooted at a uv project or workspace.",
+      "type": "object",
+      "properties": {
+        "kind": {
+          "enum": [
+            "uv"
+          ]
+        },
+        "package": {
+          "type": "string"
+        },
+        "root": {
+          "type": "string"
+        }
+      },
+      "required": [
+        "kind"
+      ]
+    },
    "StoreConfig": {
      "title": "StoreConfig",
      "description": "Configuration for the built-in long-term memory store.\n\nThis store can optionally perform semantic search. If you omit `index`,\nthe store will just handle traditional (non-embedded) data without vector lookups.",
@@ -0,0 +1 @@
+OPENAI_API_KEY=
@@ -0,0 +1,12 @@
+{
+  "python_version": "3.12",
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "source": {
+    "kind": "uv",
+    "root": "../..",
+    "package": "agent"
+  },
+  "env": ".env"
+}
@@ -0,0 +1,20 @@
+[project]
+name = "agent"
+version = "0.0.1"
+description = "Agent for the uv monorepo example"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+    "shared",
+]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/agent"
@@ -0,0 +1,31 @@
+from collections.abc import Sequence
+from typing import Annotated, TypedDict
+
+from langchain_core.messages import AIMessage, BaseMessage
+from langgraph.graph import END, START, StateGraph
+from langgraph.graph.message import add_messages
+from shared import get_dummy_message
+
+
+class State(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+def call_model(state: State) -> dict:
+    dummy_message = get_dummy_message()
+    message = AIMessage(content=f"Agent says: {dummy_message}")
+    return {"messages": [message]}
+
+
+def should_continue(state: State):
+    if len(state["messages"]) > 0:
+        return END
+    return "call_model"
+
+
+workflow = StateGraph(State)
+workflow.add_node("call_model", call_model)
+workflow.add_edge(START, "call_model")
+workflow.add_conditional_edges("call_model", should_continue)
+
+graph = workflow.compile()
@@ -0,0 +1,16 @@
+[project]
+name = "shared"
+version = "0.0.1"
+description = "Shared utilities for the uv monorepo example"
+requires-python = ">=3.11"
+dependencies = []
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["shared"]
+
+[tool.setuptools.package-dir]
+"shared" = "src/shared"
@@ -0,0 +1,3 @@
+from .utils import get_dummy_message
+
+__all__ = ["get_dummy_message"]
@@ -0,0 +1,2 @@
+def get_dummy_message() -> str:
+    return "Hello from shared library!"
@@ -0,0 +1,22 @@
+[project]
+name = "uv-monorepo-example"
+version = "0.0.1"
+description = "uv workspace monorepo example for LangGraph CLI integration test"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+]
+
+[tool.uv.workspace]
+members = ["apps/*", "libs/*"]
+
+[tool.uv.sources]
+shared = { workspace = true }
+
+[tool.uv]
+package = false
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
@@ -0,0 +1,893 @@
+version = 1
+revision = 3
+requires-python = ">=3.11"
+
+[manifest]
+members = [
+    "agent",
+    "shared",
+    "uv-monorepo-example",
+]
+
+[[package]]
+name = "agent"
+version = "0.0.1"
+source = { editable = "apps/agent" }
+dependencies = [
+    { name = "langchain-core" },
+    { name = "langgraph" },
+    { name = "shared" },
+]
+
+[package.metadata]
+requires-dist = [
+    { name = "langchain-core", specifier = ">=0.2.14" },
+    { name = "langgraph", specifier = ">=0.6.0,<2" },
+    { name = "shared", editable = "libs/shared" },
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
+]
+
+[[package]]
+name = "anyio"
+version = "4.13.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/19/14/2c5dd9f512b66549ae92767a9c7b330ae88e1932ca57876909410251fe13/anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc", size = 231622, upload-time = "2026-03-24T12:59:09.671Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/da/42/e921fccf5015463e32a3cf6ee7f980a6ed0f395ceeaa45060b61d86486c2/anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708", size = 114353, upload-time = "2026-03-24T12:59:08.246Z" },
+]
+
+[[package]]
+name = "certifi"
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+]
@@ -0,0 +1 @@
+OPENAI_API_KEY=
@@ -0,0 +1,11 @@
+{
+  "python_version": "3.12",
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "source": {
+    "kind": "uv",
+    "root": "."
+  },
+  "env": ".env"
+}
@@ -0,0 +1,19 @@
+[project]
+name = "simple-uv-agent"
+version = "0.1.0"
+description = "Simple single-package uv example for LangGraph CLI integration test"
+requires-python = ">=3.11"
+dependencies = [
+    "langgraph>=0.6.0,<2",
+    "langchain-core>=0.2.14",
+]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/agent"
@@ -0,0 +1,29 @@
+from collections.abc import Sequence
+from typing import Annotated, TypedDict
+
+from langchain_core.messages import AIMessage, BaseMessage
+from langgraph.graph import END, START, StateGraph
+from langgraph.graph.message import add_messages
+
+
+class State(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+def call_model(state: State) -> dict:
+    message = AIMessage(content="Hello from simple uv agent!")
+    return {"messages": [message]}
+
+
+def should_continue(state: State):
+    if len(state["messages"]) > 0:
+        return END
+    return "call_model"
+
+
+workflow = StateGraph(State)
+workflow.add_node("call_model", call_model)
+workflow.add_edge(START, "call_model")
+workflow.add_conditional_edges("call_model", should_continue)
+
+graph = workflow.compile()
@@ -0,0 +1,864 @@
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+]
@@ -1,7 +1,7 @@
 from __future__ import annotations

 from collections import ChainMap
-from collections.abc import Mapping, Sequence
+from collections.abc import Sequence
 from os import getenv
 from typing import Any, cast

@@ -217,14 +217,16 @@ def get_callback_manager_for_config(
            callbacks.add_tags(all_tags)
        if metadata := config.get("metadata"):
            callbacks.add_metadata(metadata)
-        return callbacks
+        manager = callbacks
    else:
        # otherwise create a new manager
-        return CallbackManager.configure(
+        manager = CallbackManager.configure(
            inheritable_callbacks=config.get("callbacks"),
            inheritable_tags=all_tags,
            inheritable_metadata=config.get("metadata"),
+            langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
        )
+    return manager


 def get_async_callback_manager_for_config(
@@ -255,14 +257,16 @@ def get_async_callback_manager_for_config(
            callbacks.add_tags(all_tags)
        if metadata := config.get("metadata"):
            callbacks.add_metadata(metadata)
-        return callbacks
+        manager = callbacks
    else:
        # otherwise create a new manager
-        return AsyncCallbackManager.configure(
+        manager = AsyncCallbackManager.configure(
            inheritable_callbacks=config.get("callbacks"),
            inheritable_tags=all_tags,
            inheritable_metadata=config.get("metadata"),
+            langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
        )
+    return manager


 def _is_not_empty(value: Any) -> bool:
@@ -308,22 +312,54 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
        for k, v in config.items():
            if _is_not_empty(v) and k not in CONFIG_KEYS:
                empty[CONF][k] = v
-    _empty_metadata = empty["metadata"]
-    for key, value in empty[CONF].items():
-        if _exclude_as_metadata(key, value, _empty_metadata):
-            continue
-        _empty_metadata[key] = value
+
+    configurable = empty.get("configurable")
+    metadata = empty.get("metadata")
+    if configurable and metadata is not None:
+        for key in _PROPAGATE_TO_METADATA:
+            if key in metadata:
+                continue
+            value = configurable.get(key)
+            if value:
+                metadata[key] = value
    return empty


 _OMIT = ("key", "token", "secret", "password", "auth")


-def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
+def _exclude_as_metadata(key: str, value: Any) -> bool:
    key_lower = key.casefold()
    return (
        key.startswith("__")
        or not isinstance(value, (str, int, float, bool))
-        or key in metadata
        or any(substr in key_lower for substr in _OMIT)
    )
+
+
+def _get_tracing_metadata_defaults(
+    config: RunnableConfig,
+) -> dict[str, Any] | None:
+    """Get tracer-only metadata defaults from configurable values."""
+    configurable = config.get("configurable")
+    if not configurable:
+        return None
+    metadata: dict[str, Any] = {}
+    for key, value in configurable.items():
+        if _exclude_as_metadata(key, value):
+            continue
+        metadata[key] = value
+    return metadata or None
+
+
+_PROPAGATE_TO_METADATA = frozenset(
+    (
+        "thread_id",
+        "checkpoint_id",
+        "checkpoint_ns",
+        "task_id",
+        "run_id",
+        "assistant_id",
+        "graph_id",
+    )
+)
@@ -0,0 +1,394 @@
+"""Graph lifecycle callback interfaces and event payloads.
+
+This module defines the public callback surface for observing LangGraph-specific
+lifecycle transitions such as interrupt and resume.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from dataclasses import dataclass
+from typing import Any, Literal, TypeAlias, TypeVar
+from uuid import UUID
+
+from langchain_core.callbacks import BaseCallbackHandler, BaseCallbackManager
+from langchain_core.callbacks.manager import ahandle_event, handle_event
+from langchain_core.runnables import RunnableConfig
+
+from langgraph.types import Interrupt
+
+__all__ = (
+    "GraphCallbackHandler",
+    "GraphInterruptEvent",
+    "GraphLifecycleEvent",
+    "GraphLifecycleStatus",
+    "GraphResumeEvent",
+    "get_async_graph_callback_manager_for_config",
+    "get_sync_graph_callback_manager_for_config",
+)
+
+
+GraphLifecycleStatus: TypeAlias = Literal[
+    "input",
+    "pending",
+    "done",
+    "interrupt_before",
+    "interrupt_after",
+    "out_of_steps",
+]
+"""Allowed lifecycle statuses reported in graph lifecycle callback events."""
+
+
+@dataclass(frozen=True)
+class GraphInterruptEvent:
+    """Graph lifecycle event emitted when execution pauses for interrupts."""
+
+    run_id: UUID | None
+    """Run id for the current graph execution, if available."""
+
+    status: GraphLifecycleStatus
+    """Loop status when the interrupt was captured."""
+
+    checkpoint_id: str
+    """Checkpoint id associated with the interrupted execution."""
+
+    checkpoint_ns: tuple[str, ...]
+    """Checkpoint namespace path for the current graph or subgraph."""
+
+    interrupts: tuple[Interrupt, ...]
+    """Interrupt payloads that caused the graph to pause."""
+
+
+@dataclass(frozen=True)
+class GraphResumeEvent:
+    """Graph lifecycle event emitted when execution resumes from a checkpoint."""
+
+    run_id: UUID | None
+    """Run id for the current graph execution, if available."""
+
+    status: GraphLifecycleStatus
+    """Loop status when the resume was captured."""
+
+    checkpoint_id: str
+    """Checkpoint id the graph resumed from."""
+
+    checkpoint_ns: tuple[str, ...]
+    """Checkpoint namespace path for the current graph or subgraph."""
+
+
+GraphLifecycleEvent: TypeAlias = GraphInterruptEvent | GraphResumeEvent
+"""Union of all public graph lifecycle callback event payloads.
+
+Use this alias when a callback or helper can receive either interrupt or resume
+lifecycle events.
+"""
+
+
+class GraphCallbackHandler(BaseCallbackHandler):
+    """Base class for graph-level lifecycle callbacks.
+
+    Subclass this handler to observe graph lifecycle transitions that are
+    specific to LangGraph execution, rather than generic LangChain runnable
+    callbacks.
+
+    Instances can be passed through `config["callbacks"]` when invoking a
+    graph. Only handlers that inherit from `GraphCallbackHandler` receive these
+    lifecycle events.
+    """
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        """Run when graph execution pauses due to one or more interrupts.
+
+        Args:
+            event: Interrupt lifecycle event payload.
+        """
+
+    def on_resume(self, event: GraphResumeEvent) -> Any:
+        """Run when graph execution resumes from a persisted checkpoint.
+
+        Args:
+            event: Resume lifecycle event payload.
+        """
+
+
+_MISSING = object()
+
+
+def _filter_graph_handlers(
+    handlers: list[BaseCallbackHandler],
+) -> list[GraphCallbackHandler]:
+    return [h for h in handlers if isinstance(h, GraphCallbackHandler)]
+
+
+def _init_base_manager(
+    manager: BaseCallbackManager,
+    handlers: Sequence[GraphCallbackHandler] | None,
+    inheritable_handlers: Sequence[GraphCallbackHandler] | None,
+    parent_run_id: UUID | None,
+    *,
+    tags: list[str] | None,
+    inheritable_tags: list[str] | None,
+    metadata: dict[str, Any] | None,
+    inheritable_metadata: dict[str, Any] | None,
+    run_id: UUID | None,
+) -> None:
+    base_handlers: list[BaseCallbackHandler] = []
+    base_inheritable_handlers: list[BaseCallbackHandler] = []
+    if handlers is not None:
+        base_handlers.extend(handlers)
+    if inheritable_handlers is not None:
+        base_inheritable_handlers.extend(inheritable_handlers)
+    BaseCallbackManager.__init__(
+        manager,
+        handlers=base_handlers,
+        inheritable_handlers=base_inheritable_handlers,
+        parent_run_id=parent_run_id,
+        tags=tags,
+        inheritable_tags=inheritable_tags,
+        metadata=metadata,
+        inheritable_metadata=inheritable_metadata,
+    )
+    manager.run_id = run_id  # type: ignore[attr-defined]
+
+
+def _configure_graph_callbacks(
+    cls: type[_GraphManagerT],
+    callbacks: object | None,
+    *,
+    run_id: UUID | None,
+) -> _GraphManagerT:
+    if callbacks is None:
+        return cls(run_id=run_id)
+    if isinstance(callbacks, cls):
+        return callbacks.copy(run_id=run_id)
+    if isinstance(callbacks, (_GraphCallbackManager, _AsyncGraphCallbackManager)):
+        # Cross-type: extract handlers into the requested cls.
+        return cls(
+            handlers=_filter_graph_handlers(callbacks.handlers),
+            inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
+            parent_run_id=callbacks.parent_run_id,
+            tags=callbacks.tags.copy(),
+            inheritable_tags=callbacks.inheritable_tags.copy(),
+            metadata=callbacks.metadata.copy(),
+            inheritable_metadata=callbacks.inheritable_metadata.copy(),
+            run_id=run_id,
+        )
+    if isinstance(callbacks, BaseCallbackManager):
+        return cls(
+            handlers=_filter_graph_handlers(callbacks.handlers),
+            inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
+            parent_run_id=callbacks.parent_run_id,
+            tags=callbacks.tags.copy(),
+            inheritable_tags=callbacks.inheritable_tags.copy(),
+            metadata=callbacks.metadata.copy(),
+            inheritable_metadata=callbacks.inheritable_metadata.copy(),
+            run_id=run_id,
+        )
+    if isinstance(callbacks, GraphCallbackHandler):
+        return cls((callbacks,), run_id=run_id)
+    if isinstance(callbacks, (str, bytes)) or not isinstance(callbacks, Sequence):
+        raise TypeError("callbacks must be a handler, sequence, or manager")
+    return cls(_filter_graph_handlers(list(callbacks)), run_id=run_id)
+
+
+def _copy_graph_manager(
+    manager: _GraphCallbackManager | _AsyncGraphCallbackManager,
+    cls: type[_GraphManagerT],
+    run_id: UUID | None | object,
+) -> _GraphManagerT:
+    resolved_run_id: UUID | None
+    if run_id is _MISSING:
+        resolved_run_id = manager.run_id
+    else:
+        if run_id is not None and not isinstance(run_id, UUID):
+            raise TypeError("run_id must be a UUID or None")
+        resolved_run_id = run_id
+
+    return cls(
+        handlers=_filter_graph_handlers(manager.handlers),
+        inheritable_handlers=_filter_graph_handlers(manager.inheritable_handlers),
+        parent_run_id=manager.parent_run_id,
+        tags=manager.tags.copy(),
+        inheritable_tags=manager.inheritable_tags.copy(),
+        metadata=manager.metadata.copy(),
+        inheritable_metadata=manager.inheritable_metadata.copy(),
+        run_id=resolved_run_id,
+    )
+
+
+class _GraphCallbackManager(BaseCallbackManager):
+    """Sync dispatcher for graph lifecycle events."""
+
+    run_id: UUID | None
+
+    def __init__(
+        self,
+        handlers: Sequence[GraphCallbackHandler] | None = None,
+        inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
+        parent_run_id: UUID | None = None,
+        *,
+        tags: list[str] | None = None,
+        inheritable_tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        inheritable_metadata: dict[str, Any] | None = None,
+        run_id: UUID | None = None,
+    ) -> None:
+        _init_base_manager(
+            self,
+            handlers,
+            inheritable_handlers,
+            parent_run_id,
+            tags=tags,
+            inheritable_tags=inheritable_tags,
+            metadata=metadata,
+            inheritable_metadata=inheritable_metadata,
+            run_id=run_id,
+        )
+
+    def copy(
+        self,
+        *,
+        run_id: UUID | None | object = _MISSING,
+    ) -> _GraphCallbackManager:
+        return _copy_graph_manager(self, _GraphCallbackManager, run_id)
+
+    @classmethod
+    def configure(
+        cls,
+        callbacks: object | None = None,
+        *,
+        run_id: UUID | None = None,
+    ) -> _GraphCallbackManager:
+        return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> None:
+        handle_event(
+            self.handlers,
+            "on_interrupt",
+            None,
+            event,
+        )
+
+    def on_resume(self, event: GraphResumeEvent) -> None:
+        handle_event(
+            self.handlers,
+            "on_resume",
+            None,
+            event,
+        )
+
+
+class _AsyncGraphCallbackManager(BaseCallbackManager):
+    """Async dispatcher for graph lifecycle events."""
+
+    run_id: UUID | None
+
+    @property
+    def is_async(self) -> bool:
+        """Return whether the manager is async."""
+        return True
+
+    def __init__(
+        self,
+        handlers: Sequence[GraphCallbackHandler] | None = None,
+        inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
+        parent_run_id: UUID | None = None,
+        *,
+        tags: list[str] | None = None,
+        inheritable_tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        inheritable_metadata: dict[str, Any] | None = None,
+        run_id: UUID | None = None,
+    ) -> None:
+        _init_base_manager(
+            self,
+            handlers,
+            inheritable_handlers,
+            parent_run_id,
+            tags=tags,
+            inheritable_tags=inheritable_tags,
+            metadata=metadata,
+            inheritable_metadata=inheritable_metadata,
+            run_id=run_id,
+        )
+
+    def copy(
+        self,
+        *,
+        run_id: UUID | None | object = _MISSING,
+    ) -> _AsyncGraphCallbackManager:
+        return _copy_graph_manager(self, _AsyncGraphCallbackManager, run_id)
+
+    @classmethod
+    def configure(
+        cls,
+        callbacks: object | None = None,
+        *,
+        run_id: UUID | None = None,
+    ) -> _AsyncGraphCallbackManager:
+        return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
+
+    async def on_interrupt(self, event: GraphInterruptEvent) -> None:
+        await ahandle_event(
+            self.handlers,
+            "on_interrupt",
+            None,
+            event,
+        )
+
+    async def on_resume(self, event: GraphResumeEvent) -> None:
+        await ahandle_event(
+            self.handlers,
+            "on_resume",
+            None,
+            event,
+        )
+
+
+_GraphManagerT = TypeVar(
+    "_GraphManagerT", _GraphCallbackManager, _AsyncGraphCallbackManager
+)
+
+GraphCallbacks: TypeAlias = (
+    _GraphCallbackManager
+    | _AsyncGraphCallbackManager
+    | BaseCallbackManager
+    | GraphCallbackHandler
+    | Sequence[BaseCallbackHandler]
+    | Sequence[GraphCallbackHandler]
+    | None
+)
+
+
+def get_sync_graph_callback_manager_for_config(
+    config: RunnableConfig,
+    *,
+    run_id: UUID | None = None,
+) -> _GraphCallbackManager:
+    """Build a sync graph lifecycle callback manager from a runnable config.
+
+    This helper filters `config["callbacks"]` down to handlers that inherit
+    from `GraphCallbackHandler` and binds the provided `run_id` onto the
+    returned manager.
+    """
+    return _GraphCallbackManager.configure(
+        config.get("callbacks"),
+        run_id=run_id,
+    )
+
+
+def get_async_graph_callback_manager_for_config(
+    config: RunnableConfig,
+    *,
+    run_id: UUID | None = None,
+) -> _AsyncGraphCallbackManager:
+    """Build an async graph lifecycle callback manager from a runnable config.
+
+    This helper filters `config["callbacks"]` down to handlers that inherit
+    from `GraphCallbackHandler` and binds the provided `run_id` onto the
+    returned manager.
+    """
+    return _AsyncGraphCallbackManager.configure(
+        config.get("callbacks"),
+        run_id=run_id,
+    )
@@ -1,6 +1,7 @@
 from langgraph.channels.any_value import AnyValue
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.binop import BinaryOperatorAggregate
+from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue, LastValueAfterFinish
 from langgraph.channels.named_barrier_value import (
@@ -20,6 +21,7 @@ __all__ = (
    "UntrackedValue",
    "EphemeralValue",
    "BinaryOperatorAggregate",
+    "DeltaChannel",
    "NamedBarrierValue",
    "NamedBarrierValueAfterFinish",
    # topics
@@ -119,3 +119,12 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
        Returns `True` if the channel was updated, `False` otherwise.
        """
        return False
+
+    def after_checkpoint(self, version: Any, checkpoint_id: str | None = None) -> None:
+        """Called after checkpoint() with the assigned version, and after
+        from_checkpoint() with the current channel version.
+
+        No-op by default. Override in channels that track their own version
+        for incremental checkpointing (e.g. DeltaChannel).
+        """
+        pass
@@ -0,0 +1,137 @@
+from __future__ import annotations
+
+from collections.abc import Callable, Sequence
+from typing import Any, Generic
+
+from langgraph.checkpoint.base import DeltaChannelSentinel
+from typing_extensions import Self
+
+from langgraph._internal._typing import MISSING
+from langgraph.channels.base import BaseChannel, Value
+from langgraph.channels.binop import _get_overwrite
+from langgraph.errors import EmptyChannelError
+
+__all__ = ("DeltaChannel",)
+
+
+class DeltaChannel(
+    Generic[Value], BaseChannel[list[Value], Value, DeltaChannelSentinel]
+):
+    """A channel that stores only a sentinel in checkpoints; per-step writes are
+    stored in checkpoint_writes and replayed through the operator at load time.
+
+    Use with append-style reducers (e.g. `add_messages`) on long-running threads
+    to eliminate O(N²) blob growth — storage is O(N) using the writes table that
+    every checkpointer already maintains.
+
+    Works with all checkpointers. Savers with dedicated implementations
+    (InMemorySaver, PostgresSaver) reconstruct in one pass; others fall back to
+    walking the checkpoint list.
+
+    Usage::
+
+        class State(TypedDict):
+            messages: Annotated[list[AnyMessage], DeltaChannel(add_messages)]
+            # Dict-type reducer (type inferred from the Annotated outer type):
+            files: Annotated[dict, DeltaChannel(merge_files)]
+    """
+
+    __slots__ = ("value", "operator")
+
+    def __init__(
+        self,
+        operator: Callable[[list[Value], Any], list[Value]],
+    ) -> None:
+        super().__init__(list)
+        self.operator = operator
+        self.value: list[Value] = []
+
+    def __eq__(self, other: object) -> bool:
+        if not isinstance(other, DeltaChannel):
+            return False
+        if (
+            self.operator.__name__ != "<lambda>"
+            and other.operator.__name__ != "<lambda>"
+        ):
+            return self.operator is other.operator
+        return True
+
+    @property
+    def ValueType(self) -> Any:
+        return list[self.typ]  # type: ignore[name-defined]
+
+    @property
+    def UpdateType(self) -> Any:
+        return self.typ | list[self.typ]  # type: ignore[name-defined]
+
+    def copy(self) -> Self:
+        new = DeltaChannel(self.operator)
+        new.typ = self.typ
+        new.key = self.key
+        new.value = self.value if self.value is MISSING else self.value.copy()
+        return new
+
+    def from_checkpoint(self, checkpoint: Any) -> Self:
+        new = DeltaChannel(self.operator)
+        new.typ = self.typ
+        new.key = self.key
+        if checkpoint is MISSING:
+            try:
+                new.value = new.typ()
+            except Exception:
+                new.value = []
+        elif isinstance(checkpoint, list):
+            # Flat list of write values (oldest→newest) from get_channel_writes.
+            try:
+                value: Any = new.typ()
+            except Exception:
+                value = []
+            for write in checkpoint:
+                value = new.operator(value, write)
+            new.value = value
+        else:
+            # Backward compat: plain accumulated value (e.g. from a migrated thread).
+            try:
+                new.value = list(checkpoint)
+            except Exception:
+                new.value = []
+        return new
+
+    def update(self, values: Sequence[Any]) -> bool:
+        if not values:
+            return False
+        seen_overwrite = False
+        for value in values:
+            is_overwrite, overwrite_value = _get_overwrite(value)
+            if is_overwrite:
+                if seen_overwrite:
+                    from langgraph.errors import (
+                        ErrorCode,
+                        InvalidUpdateError,
+                        create_error_message,
+                    )
+
+                    msg = create_error_message(
+                        message="Can receive only one Overwrite value per super-step.",
+                        error_code=ErrorCode.INVALID_CONCURRENT_GRAPH_UPDATE,
+                    )
+                    raise InvalidUpdateError(msg)
+                self.value = (
+                    list(overwrite_value) if overwrite_value is not None else self.typ()
+                )
+                seen_overwrite = True
+            elif not seen_overwrite:
+                base = self.typ() if self.value is MISSING else self.value
+                self.value = self.operator(base, value)
+        return True
+
+    def get(self) -> list[Value]:
+        if self.value is MISSING:
+            raise EmptyChannelError()
+        return self.value
+
+    def is_available(self) -> bool:
+        return self.value is not MISSING
+
+    def checkpoint(self) -> DeltaChannelSentinel:
+        return DeltaChannelSentinel()
@@ -1,5 +1,6 @@
 from __future__ import annotations

+import collections.abc
 import inspect
 import logging
 import typing
@@ -47,7 +48,8 @@ from langgraph._internal._pydantic import create_model
 from langgraph._internal._runnable import coerce_to_runnable
 from langgraph._internal._typing import EMPTY_SEQ, MISSING, DeprecatedKwargs
 from langgraph.channels.base import BaseChannel
-from langgraph.channels.binop import BinaryOperatorAggregate
+from langgraph.channels.binop import BinaryOperatorAggregate, _strip_extras
+from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue, LastValueAfterFinish
 from langgraph.channels.named_barrier_value import (
@@ -1082,6 +1084,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
            CompiledStateGraph: The compiled `StateGraph`.
        """
        checkpointer = ensure_valid_checkpointer(checkpointer)
+
        serde_allowlist: set[tuple[str, ...]] | None = None
        if _serde.STRICT_MSGPACK_ENABLED:
            schema_types: list[type[Any]] = [
@@ -1667,6 +1670,18 @@ def _is_field_channel(typ: type[Any]) -> BaseChannel | None:
        # Search through all annotated medata to find channel annotations
        for item in meta:
            if isinstance(item, BaseChannel):
+                if isinstance(item, DeltaChannel) and hasattr(typ, "__origin__"):
+                    outer = _strip_extras(typ.__origin__)
+                    if outer in (
+                        collections.abc.Sequence,
+                        collections.abc.MutableSequence,
+                    ):
+                        outer = list
+                    item.typ = outer
+                    try:
+                        item.value = outer()
+                    except Exception:
+                        item.value = []
                return item
            elif isclass(item) and issubclass(item, BaseChannel):
                # ex, Annotated[int, EphemeralValue, SomeOtherAnnotation]
@@ -1,5 +1,6 @@
 from __future__ import annotations

+import logging
 from collections.abc import Mapping
 from datetime import datetime, timezone

@@ -12,6 +13,8 @@ from langgraph.managed.base import ManagedValueMapping, ManagedValueSpec

 LATEST_VERSION = 4

+logger = logging.getLogger(__name__)
+

 def empty_checkpoint() -> Checkpoint:
    return Checkpoint(
@@ -67,13 +70,12 @@ def channels_from_checkpoint(
            channel_specs[k] = v
        else:
            managed_specs[k] = v
-    return (
-        {
-            k: v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
-            for k, v in channel_specs.items()
-        },
-        managed_specs,
-    )
+    channels: dict[str, BaseChannel] = {}
+    for k, v in channel_specs.items():
+        ch = v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
+        ch.after_checkpoint(checkpoint["channel_versions"].get(k), checkpoint.get("id"))
+        channels[k] = ch
+    return channels, managed_specs


 def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
@@ -62,6 +62,11 @@ from langgraph._internal._constants import (
 from langgraph._internal._replay import ReplayState
 from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import EMPTY_SEQ, MISSING
+from langgraph.callbacks import (
+    GraphInterruptEvent,
+    GraphLifecycleEvent,
+    GraphResumeEvent,
+)
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.constants import TAG_HIDDEN
@@ -117,6 +122,7 @@ from langgraph.types import (
    CachePolicy,
    Command,
    Durability,
+    Interrupt,
    PregelExecutableTask,
    RetryPolicy,
    Send,
@@ -203,6 +209,8 @@ class PregelLoop:
    tasks: dict[str, PregelExecutableTask]
    output: None | dict[str, Any] | Any = None
    updated_channels: set[str] | None = None
+    _graph_lifecycle_events: deque[GraphLifecycleEvent]
+    _has_graph_lifecycle_callbacks: bool

    # public

@@ -228,6 +236,7 @@ class PregelLoop:
        migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
        retry_policy: Sequence[RetryPolicy] = (),
        cache_policy: CachePolicy | None = None,
+        has_graph_lifecycle_callbacks: bool = False,
    ) -> None:
        self.stream = stream
        self.config = config
@@ -252,6 +261,8 @@ class PregelLoop:
        self.retry_policy = retry_policy
        self.cache_policy = cache_policy
        self.durability = durability
+        self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
+        self._graph_lifecycle_events = deque()
        if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
            self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
        scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
@@ -303,6 +314,40 @@ class PregelLoop:
        )
        self.prev_checkpoint_config = None

+    def _push_graph_lifecycle_event(
+        self,
+        kind: Literal["resume", "interrupt"],
+        *,
+        interrupts: tuple[Interrupt, ...] = (),
+    ) -> None:
+        if kind == "resume":
+            self._graph_lifecycle_events.append(
+                GraphResumeEvent(
+                    run_id=None,
+                    status=self.status,
+                    checkpoint_id=self.checkpoint["id"],
+                    checkpoint_ns=self.checkpoint_ns,
+                )
+            )
+        elif kind == "interrupt":
+            self._graph_lifecycle_events.append(
+                GraphInterruptEvent(
+                    run_id=None,
+                    status=self.status,
+                    checkpoint_id=self.checkpoint["id"],
+                    checkpoint_ns=self.checkpoint_ns,
+                    interrupts=interrupts,
+                )
+            )
+        else:
+            msg = f"Unknown graph lifecycle event type: {kind}"
+            raise AssertionError(msg)
+
+    def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
+        if not self._graph_lifecycle_events:
+            return None
+        return self._graph_lifecycle_events.popleft()
+
    def put_writes(self, task_id: str, writes: WritesT) -> None:
        """Put writes for a task, to be read by the next tick."""
        if not writes:
@@ -647,7 +692,7 @@ class PregelLoop:
        # writes so that interrupt() calls re-fire instead of returning
        # stale values. But if we're actively resuming, keep them —
        # multi-interrupt scenarios need previously resolved values preserved.
-        if self.is_replaying and (
+        is_time_traveling = self.is_replaying and (
            # Time-travel to a subgraph checkpoint: the parent sets
            # RESUMING=True (it can't distinguish time-travel from resume),
            # so we check if this subgraph's own ns is in checkpoint_map.
@@ -665,7 +710,8 @@ class PregelLoop:
                # (subgraph input is a Send arg, not a Command)
                or configurable.get(CONFIG_KEY_RESUMING, False)
            )
-        ):
+        )
+        if is_time_traveling:
            self.checkpoint_pending_writes = [
                w for w in self.checkpoint_pending_writes if w[1] != RESUME
            ]
@@ -720,6 +766,26 @@ class PregelLoop:
                if k in self.checkpoint["channel_versions"]:
                    version = self.checkpoint["channel_versions"][k]
                    self.checkpoint["versions_seen"][INTERRUPT][k] = version
+            # When time-traveling (replaying from a specific checkpoint),
+            # save a fork checkpoint so the replayed execution creates a
+            # new branch. Without this, if the execution hits an interrupt
+            # before after_tick() runs, no new checkpoint is created —
+            # the parent's latest checkpoint remains the old one and
+            # subsequent resumes load the wrong state.
+            # Skip for update_state forks (source=update/fork) since they
+            # already have their own fork checkpoint.
+            if is_time_traveling and self.checkpoint_metadata.get("source") not in (
+                "update",
+                "fork",
+            ):
+                # Clear old INTERRUPT writes from the loaded checkpoint.
+                # The fork will have a new checkpoint_id which changes
+                # task IDs — stale interrupt writes would accumulate and
+                # confuse the multiple-interrupt check in future resumes.
+                self.checkpoint_pending_writes = [
+                    w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
+                ]
+                self._put_checkpoint({"source": "fork"})
            # produce values output
            self._emit(
                "values", map_output_values, self.output_keys, True, self.channels
@@ -762,14 +828,28 @@ class PregelLoop:
        if not self.is_nested:
            # Pass the resolved before-bound checkpoint ID so subgraphs can
            # find their corresponding checkpoint without re-fetching the
-            # parent. For forks (source=update), use the fork's parent
+            # parent. For forks (source=update/fork), use the fork's parent
            # checkpoint ID since the fork was created after the subgraph's
            # checkpoints from the original execution.
+            #
+            # Only gate on is_time_traveling (not is_replaying). When the
+            # client resumes with an explicit checkpoint_id that happens to
+            # point at the current head (e.g. LangGraph Studio sending
+            # `checkpoint: {checkpoint_id}` alongside Command(resume=...)),
+            # is_replaying is True but is_time_traveling is False. In that
+            # case subgraphs should load their latest checkpoint normally,
+            # not go through ReplayState's before-bound lookup which would
+            # miss subgraph checkpoints created during processing of the
+            # current parent step.
            replay_state: ReplayState | None = None
-            if self.is_replaying:
+            if is_time_traveling:
                replay_checkpoint_id = self.checkpoint["id"]
                if (
-                    self.checkpoint_metadata.get("source") == "update"
+                    self.checkpoint_metadata.get("source")
+                    in (
+                        "update",
+                        "fork",
+                    )
                    and self.prev_checkpoint_config
                ):
                    replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
@@ -785,6 +865,8 @@ class PregelLoop:
            )
        # set flag
        self.status = "pending"
+        if is_resuming:
+            self._push_graph_lifecycle_event("resume")
        return updated_channels

    def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
@@ -809,6 +891,12 @@ class PregelLoop:
            id=self.checkpoint["id"] if exiting else None,
            updated_channels=self.updated_channels,
        )
+        if do_checkpoint and self.channels:
+            for k, ch in self.channels.items():
+                ch.after_checkpoint(
+                    self.checkpoint["channel_versions"].get(k),
+                    self.checkpoint.get("id"),
+                )
        # sanitize TASK channel in the checkpoint before saving (durability=="exit")
        if TASKS in self.checkpoint["channel_values"] and any(
            isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -885,8 +973,10 @@ class PregelLoop:
            self._put_checkpoint(self.checkpoint_metadata)
            self._put_pending_writes()
        # suppress interrupt
-        suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
-        if suppress:
+        if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
+            interrupt = exc_value
+            interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
+            self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
            # emit one last "values" event, with pending writes applied
            if (
                hasattr(self, "tasks")
@@ -913,12 +1003,11 @@ class PregelLoop:
                        self.channels,
                    )
            # emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
-            if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
+            if not interrupt.args or not interrupt.args[0]:
+                interrupt_payload = interrupt.args[0] if interrupt.args else ()
                self._emit(
                    "updates",
-                    lambda: iter(
-                        [{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
-                    ),
+                    lambda: iter([{INTERRUPT: interrupt_payload}]),
                )
            # save final output
            self.output = read_channels(self.channels, self.output_keys)
@@ -1040,6 +1129,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
        migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
        retry_policy: Sequence[RetryPolicy] = (),
        cache_policy: CachePolicy | None = None,
+        has_graph_lifecycle_callbacks: bool = False,
    ) -> None:
        super().__init__(
            input,
@@ -1061,6 +1151,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
            retry_policy=retry_policy,
            cache_policy=cache_policy,
            durability=durability,
+            has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
        )
        self.stack = ExitStack()
        if checkpointer:
@@ -1136,6 +1227,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
    # context manager

    def __enter__(self) -> Self:
+        self._graph_lifecycle_events = deque()
        if not self.checkpointer:
            saved = None
        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1236,6 +1328,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
        migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
        retry_policy: Sequence[RetryPolicy] = (),
        cache_policy: CachePolicy | None = None,
+        has_graph_lifecycle_callbacks: bool = False,
    ) -> None:
        super().__init__(
            input,
@@ -1257,6 +1350,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            retry_policy=retry_policy,
            cache_policy=cache_policy,
            durability=durability,
+            has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
        )
        self.stack = AsyncExitStack()
        if checkpointer:
@@ -1335,6 +1429,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
    # context manager

    async def __aenter__(self) -> Self:
+        self._graph_lifecycle_events = deque()
        if not self.checkpointer:
            saved = None
        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1,9 +1,11 @@
 from __future__ import annotations

 import ast
+import functools
 import inspect
 import re
 import textwrap
+import types
 from collections.abc import Callable
 from typing import Any

@@ -64,46 +66,74 @@ def find_subgraph_pregel(candidate: Runnable) -> PregelProtocol | None:
    return None


+@functools.lru_cache(maxsize=256)
+def _get_nonlocal_names(code: types.CodeType) -> frozenset[str]:
+    """Return the set of nonlocal variable names referenced by a function.
+
+    Cached by code object so the expensive source fetch + AST parse only
+    happens once per unique function definition across repeated graph compiles.
+
+    Args:
+        code: The code object of the function to analyse.
+
+    Returns:
+        Frozenset of variable names that the function reads from its enclosing
+        scope (free variables and globals referenced in function bodies).
+    """
+    try:
+        source = inspect.getsource(code)
+        tree = ast.parse(textwrap.dedent(source))
+        visitor = FunctionNonLocals()
+        visitor.visit(tree)
+        return frozenset(visitor.nonlocals)
+    except (SyntaxError, TypeError, OSError, SystemError):
+        return frozenset()
+
+
 def get_function_nonlocals(func: Callable) -> list[Any]:
    """Get the nonlocal variables accessed by a function.

+    The expensive source-parsing step is cached by code object; only the
+    cheap closure-variable lookup runs on every call.
+
    Args:
        func: The function to check.

    Returns:
        List[Any]: The nonlocal variables accessed by the function.
    """
-    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):
+    actual_func = (
+        func.__wrapped__
+        if hasattr(func, "__wrapped__") and callable(func.__wrapped__)
+        else func
+    )
+    # Fast path: no free variables means nothing to scan.
+    if not actual_func.__code__.co_freevars:
        return []

+    nonlocal_names = _get_nonlocal_names(actual_func.__code__)
+    if not nonlocal_names:
+        return []
+
+    closure = inspect.getclosurevars(actual_func)
+    candidates = {**closure.globals, **closure.nonlocals}
+    values: list[Any] = []
+    for k, v in candidates.items():
+        if k in nonlocal_names:
+            values.append(v)
+        for kk in nonlocal_names:
+            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)
    return values


@@ -16,7 +16,7 @@ from collections.abc import (
    Mapping,
    Sequence,
 )
-from dataclasses import is_dataclass
+from dataclasses import is_dataclass, replace
 from functools import partial
 from inspect import isclass
 from typing import (
@@ -96,6 +96,12 @@ from langgraph._internal._runnable import (
    coerce_to_runnable,
 )
 from langgraph._internal._typing import MISSING, DeprecatedKwargs
+from langgraph.callbacks import (
+    GraphInterruptEvent,
+    GraphResumeEvent,
+    get_async_graph_callback_manager_for_config,
+    get_sync_graph_callback_manager_for_config,
+)
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.topic import Topic
 from langgraph.config import get_config
@@ -1043,13 +1049,14 @@ class Pregel(

        step = saved.metadata.get("step", -1) + 1
        stop = step + 2
+        checkpoint = saved.checkpoint
        channels, managed = channels_from_checkpoint(
            self.channels,
-            saved.checkpoint,
+            checkpoint,
        )
        # tasks for this checkpoint
        next_tasks = prepare_next_tasks(
-            saved.checkpoint,
+            checkpoint,
            saved.pending_writes or [],
            self.nodes,
            channels,
@@ -1162,13 +1169,14 @@ class Pregel(

        step = saved.metadata.get("step", -1) + 1
        stop = step + 2
+        checkpoint = saved.checkpoint
        channels, managed = channels_from_checkpoint(
            self.channels,
-            saved.checkpoint,
+            checkpoint,
        )
        # tasks for this checkpoint
        next_tasks = prepare_next_tasks(
-            saved.checkpoint,
+            checkpoint,
            saved.pending_writes or [],
            self.nodes,
            channels,
@@ -1514,9 +1522,8 @@ class Pregel(
            saved = checkpointer.get_tuple(config)
            if saved is not None:
                self._migrate_checkpoint(saved.checkpoint)
-            checkpoint = (
-                copy_checkpoint(saved.checkpoint) if saved else empty_checkpoint()
-            )
+            base_checkpoint = saved.checkpoint if saved else empty_checkpoint()
+            checkpoint = copy_checkpoint(base_checkpoint) if saved else base_checkpoint
            checkpoint_previous_versions = (
                saved.checkpoint["channel_versions"].copy() if saved else {}
            )
@@ -1960,9 +1967,8 @@ class Pregel(
            saved = await checkpointer.aget_tuple(config)
            if saved is not None:
                self._migrate_checkpoint(saved.checkpoint)
-            checkpoint = (
-                copy_checkpoint(saved.checkpoint) if saved else empty_checkpoint()
-            )
+            base_checkpoint = saved.checkpoint if saved else empty_checkpoint()
+            checkpoint = copy_checkpoint(base_checkpoint) if saved else base_checkpoint
            checkpoint_previous_versions = (
                saved.checkpoint["channel_versions"].copy() if saved else {}
            )
@@ -2585,6 +2591,10 @@ class Pregel(
            name=config.get("run_name", self.get_name()),
            run_id=config.get("run_id"),
        )
+        graph_callback_manager = get_sync_graph_callback_manager_for_config(
+            config,
+            run_id=run_manager.run_id,
+        )
        try:
            # assign defaults
            (
@@ -2669,6 +2679,17 @@ class Pregel(
            _output_mapper = self._output_mapper if version == "v2" else None
            _state_mapper = self._state_mapper if version == "v2" else None

+            def emit_graph_lifecycle_events(loop: SyncPregelLoop) -> None:
+                while (event := loop._pop_lifecycle_event()) is not None:
+                    if isinstance(event, GraphResumeEvent):
+                        graph_callback_manager.on_resume(
+                            replace(event, run_id=graph_callback_manager.run_id)
+                        )
+                    else:
+                        graph_callback_manager.on_interrupt(
+                            replace(event, run_id=graph_callback_manager.run_id)
+                        )
+
            with SyncPregelLoop(
                input,
                stream=StreamProtocol(stream.put, stream_modes),
@@ -2689,7 +2710,9 @@ class Pregel(
                migrate_checkpoint=self._migrate_checkpoint,
                retry_policy=self.retry_policy,
                cache_policy=self.cache_policy,
+                has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
            ) as loop:
+                emit_graph_lifecycle_events(loop)
                # create runner
                runner = PregelRunner(
                    submit=config[CONF].get(
@@ -2751,9 +2774,11 @@ class Pregel(
                            _state_mapper,
                        )
                    loop.after_tick()
+                    emit_graph_lifecycle_events(loop)
                    # wait for checkpoint
                    if durability_ == "sync":
                        loop._put_checkpoint_fut.result()
+            emit_graph_lifecycle_events(loop)
            # emit output
            yield from _output(
                stream_mode,
@@ -2928,6 +2953,10 @@ class Pregel(
            name=config.get("run_name", self.get_name()),
            run_id=config.get("run_id"),
        )
+        graph_callback_manager = get_async_graph_callback_manager_for_config(
+            config,
+            run_id=run_manager.run_id,
+        )
        # if running from astream_log() run each proc with streaming
        do_stream = (
            next(
@@ -3042,6 +3071,28 @@ class Pregel(
            _output_mapper = self._output_mapper if version == "v2" else None
            _state_mapper = self._state_mapper if version == "v2" else None

+            async def aemit_graph_lifecycle_events(loop: AsyncPregelLoop) -> None:
+                while (event := loop._pop_lifecycle_event()) is not None:
+                    if isinstance(event, GraphResumeEvent):
+                        await graph_callback_manager.on_resume(
+                            GraphResumeEvent(
+                                run_id=graph_callback_manager.run_id,
+                                status=event.status,
+                                checkpoint_id=event.checkpoint_id,
+                                checkpoint_ns=event.checkpoint_ns,
+                            )
+                        )
+                    else:
+                        await graph_callback_manager.on_interrupt(
+                            GraphInterruptEvent(
+                                run_id=graph_callback_manager.run_id,
+                                status=event.status,
+                                checkpoint_id=event.checkpoint_id,
+                                checkpoint_ns=event.checkpoint_ns,
+                                interrupts=event.interrupts,
+                            )
+                        )
+
            async with AsyncPregelLoop(
                input,
                stream=StreamProtocol(stream.put_nowait, stream_modes),
@@ -3062,7 +3113,9 @@ class Pregel(
                migrate_checkpoint=self._migrate_checkpoint,
                retry_policy=self.retry_policy,
                cache_policy=self.cache_policy,
+                has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
            ) as loop:
+                await aemit_graph_lifecycle_events(loop)
                # create runner
                runner = PregelRunner(
                    submit=config[CONF].get(
@@ -3144,6 +3197,7 @@ class Pregel(
                            ):
                                yield o
                        loop.after_tick()
+                        await aemit_graph_lifecycle_events(loop)
                        # wait for checkpoint
                        if durability_ == "sync":
                            await cast(asyncio.Future, loop._put_checkpoint_fut)
@@ -3152,6 +3206,8 @@ class Pregel(
                    if _cleanup_waiter is not None:
                        await _cleanup_waiter()

+            await aemit_graph_lifecycle_events(loop)
+
            # emit output
            for o in _output(
                stream_mode,
@@ -3659,15 +3715,14 @@ def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> Non
 def _build_server_info(
    config: RunnableConfig, parent_runtime: Runtime[Any]
 ) -> ServerInfo | None:
-    """Build ServerInfo from config metadata and configurable.
+    """Build ServerInfo from config configurable.

-    The server puts assistant_id/graph_id in config metadata and the
+    The server puts assistant_id/graph_id in config configurable and the
    authenticated user dict in configurable["langgraph_auth_user"].
    """
-    metadata = config.get("metadata") or {}
    configurable = config.get(CONF) or {}
-    assistant_id = metadata.get("assistant_id")
-    graph_id = metadata.get("graph_id")
+    assistant_id = configurable.get("assistant_id")
+    graph_id = configurable.get("graph_id")

    # Read authenticated user from configurable (set by LangGraph Server).
    # We prefer isinstance(BaseUser) but fall back to hasattr("identity")
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "1.1.6"
+version = "1.1.9"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -24,7 +24,7 @@ classifiers = [
    'Programming Language :: Python :: 3.13',
 ]
 dependencies = [
-    "langchain-core>=0.1",
+    "langchain-core>=1.3.0,<2",
    "langgraph-checkpoint>=2.1.0,<5.0.0",
    "langgraph-sdk>=0.3.0,<0.4.0",
    "langgraph-prebuilt>=1.0.9,<1.1.0",
@@ -117,3 +117,291 @@ def test_untracked_value() -> None:
    new_channel = UntrackedValue(dict).from_checkpoint(checkpoint)
    with pytest.raises(EmptyChannelError):
        new_channel.get()
+
+
+def test_delta_channel_basic_two_steps() -> None:
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.base import DeltaChannelSentinel
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
+
+    # Step 1: one message added
+    ch.update([HumanMessage(content="hi", id="h1")])
+    d1 = ch.checkpoint()
+    assert isinstance(d1, DeltaChannelSentinel)
+
+    # Step 2: another message
+    ch.update([AIMessage(content="hello", id="a1")])
+    d2 = ch.checkpoint()
+    assert isinstance(d2, DeltaChannelSentinel)
+
+    # Full accumulated value is preserved in memory
+    assert len(ch.get()) == 2
+    assert ch.get()[0].content == "hi"
+    assert ch.get()[1].content == "hello"
+
+
+def test_delta_channel_from_checkpoint_writes_list() -> None:
+    """from_checkpoint with a flat list of individual writes replays them through the operator."""
+    from langchain_core.messages import AIMessage, HumanMessage
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    spec = DeltaChannel(add_messages)
+    # Each element is one write value (as stored in checkpoint_writes)
+    writes = [
+        HumanMessage(content="hi", id="h1"),
+        AIMessage(content="hello", id="a1"),
+        HumanMessage(content="bye", id="h2"),
+    ]
+    ch = spec.from_checkpoint(writes)
+    msgs = ch.get()
+    assert len(msgs) == 3
+    assert msgs[0].content == "hi"
+    assert msgs[1].content == "hello"
+    assert msgs[2].content == "bye"
+
+
+def test_delta_channel_from_checkpoint_backwards_compat() -> None:
+    from langchain_core.messages import HumanMessage
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    # Old BinaryOperatorAggregate checkpoint: plain list treated as backward compat
+    spec = DeltaChannel(add_messages)
+    old_value = [HumanMessage(content="old", id="h1")]
+    ch = spec.from_checkpoint(old_value)
+    assert ch.get() == old_value
+
+
+def test_delta_channel_overwrite() -> None:
+    from langchain_core.messages import HumanMessage
+    from langgraph.checkpoint.base import DeltaChannelSentinel
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+    from langgraph.types import Overwrite
+
+    ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
+    ch.update([HumanMessage(content="old", id="h1")])
+
+    ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
+    d = ch.checkpoint()
+    assert isinstance(d, DeltaChannelSentinel)
+    # After overwrite, value is reset to only the new message
+    assert len(ch.get()) == 1
+    assert ch.get()[0].content == "new"
+
+
+def test_delta_channel_remove_message_and_replay() -> None:
+    """RemoveMessage must round-trip correctly when writes are replayed."""
+    from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    spec = DeltaChannel(add_messages)
+    ch = spec.from_checkpoint(MISSING)
+
+    # Step 1: add two messages
+    ch.update([HumanMessage(content="hi", id="h1")])
+    ch.update([AIMessage(content="hello", id="a1")])
+    assert ch.get() == [
+        HumanMessage(content="hi", id="h1"),
+        AIMessage(content="hello", id="a1"),
+    ]
+
+    # Step 2: remove the AI message
+    ch.update([RemoveMessage(id="a1")])
+    assert ch.get() == [HumanMessage(content="hi", id="h1")]
+
+    # Replay the writes list from scratch — must reproduce the post-remove state
+    writes = [
+        HumanMessage(content="hi", id="h1"),
+        AIMessage(content="hello", id="a1"),
+        RemoveMessage(id="a1"),
+    ]
+    ch2 = spec.from_checkpoint(writes)
+    assert ch2.get() == [HumanMessage(content="hi", id="h1")]
+
+
+def test_delta_channel_update_by_id_and_replay() -> None:
+    """Updating a message by ID must round-trip correctly through writes replay."""
+    from langchain_core.messages import HumanMessage
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    spec = DeltaChannel(add_messages)
+    ch = spec.from_checkpoint(MISSING)
+
+    # Step 1: add a message
+    ch.update([HumanMessage(content="original", id="h1")])
+
+    # Step 2: update the same message by ID
+    ch.update([HumanMessage(content="updated", id="h1")])
+    assert ch.get() == [HumanMessage(content="updated", id="h1")]
+
+    # Replay writes — must produce the updated message, not the original
+    writes = [
+        HumanMessage(content="original", id="h1"),
+        HumanMessage(content="updated", id="h1"),
+    ]
+    ch2 = spec.from_checkpoint(writes)
+    assert len(ch2.get()) == 1
+    assert ch2.get()[0].content == "updated"
+
+
+def test_delta_channel_checkpoint_returns_sentinel() -> None:
+    """checkpoint() always returns DeltaChannelSentinel regardless of state."""
+    from langgraph.checkpoint.base import DeltaChannelSentinel
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.message import add_messages
+
+    ch = DeltaChannel(add_messages).from_checkpoint(MISSING)
+    assert isinstance(ch.checkpoint(), DeltaChannelSentinel)
+
+    from langchain_core.messages import HumanMessage
+
+    ch.update([HumanMessage(content="hi", id="h1")])
+    assert isinstance(ch.checkpoint(), DeltaChannelSentinel)
+
+
+def test_delta_channel_inmemory_saver_assembles_writes() -> None:
+    """InMemorySaver assembles writes from checkpoint_writes inside get_tuple."""
+    from typing import Annotated
+
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+    from typing_extensions import TypedDict
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    n = {"v": 0}
+
+    def respond(state: State) -> dict:
+        n["v"] += 1
+        return {"messages": [AIMessage(content=f"ok{n['v']}", id=f"ai{n['v']}")]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    saver = InMemorySaver()
+    graph = builder.compile(checkpointer=saver)
+    config = {"configurable": {"thread_id": "t1"}}
+
+    graph.invoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
+    graph.invoke({"messages": [HumanMessage(content="bye", id="h2")]}, config)
+
+    # get_tuple must return a resolved list (not DeltaChannelSentinel)
+    from langgraph.checkpoint.base import DeltaChannelSentinel
+
+    saved = saver.get_tuple(config)
+    assert saved is not None
+    assert "messages" in saved.checkpoint["channel_values"]
+    assert not isinstance(
+        saved.checkpoint["channel_values"]["messages"], DeltaChannelSentinel
+    )
+    assert isinstance(saved.checkpoint["channel_values"]["messages"], list)
+
+    state = graph.get_state(config)
+    assert len(state.values["messages"]) == 4  # 2 human + 2 AI
+
+
+def _delta_channel_with_type(operator, typ):
+    """Build a DeltaChannel with an explicit type via the Annotated injection path."""
+    from typing import Annotated
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph.state import _get_channel
+
+    return _get_channel("_test", Annotated[typ, DeltaChannel(operator)])
+
+
+def test_delta_channel_dict_reducer_fresh_channel() -> None:
+    """DeltaChannel with a dict reducer starts as empty dict on MISSING checkpoint."""
+
+    def merge_dicts(left: dict, right: dict) -> dict:
+        return {**left, **right}
+
+    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
+    # Should be available (not raise EmptyChannelError) and start empty
+    assert ch.is_available()
+    assert ch.get() == {}
+
+
+def test_delta_channel_dict_reducer_basic_updates() -> None:
+    """DeltaChannel with a dict reducer accumulates key/value pairs across steps."""
+    from langgraph.checkpoint.base import DeltaChannelSentinel
+
+    def merge_dicts(left: dict, right: dict) -> dict:
+        return {**left, **right}
+
+    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
+
+    ch.update([{"a": 1}])
+    d1 = ch.checkpoint()
+    assert isinstance(d1, DeltaChannelSentinel)
+
+    ch.update([{"b": 2}])
+    d2 = ch.checkpoint()
+    assert isinstance(d2, DeltaChannelSentinel)
+
+    assert ch.get() == {"a": 1, "b": 2}
+
+
+def test_delta_channel_dict_reducer_writes_reconstruction() -> None:
+    """from_checkpoint with a writes list replays correctly through a dict merge reducer."""
+
+    def merge_dicts(left: dict, right: dict) -> dict:
+        return {**left, **right}
+
+    spec = _delta_channel_with_type(merge_dicts, dict)
+    # Each element is one write value (oldest→newest)
+    writes = [{"a": 1}, {"b": 2}, {"c": 3}]
+    ch = spec.from_checkpoint(writes)
+    assert ch.get() == {"a": 1, "b": 2, "c": 3}
+
+
+def test_delta_channel_dict_reducer_with_deletions() -> None:
+    """Dict reducer that treats None values as deletions works end-to-end (deepagents pattern)."""
+
+    def merge_files(left: dict | None, right: dict) -> dict:
+        if left is None:
+            return {k: v for k, v in right.items() if v is not None}
+        result = {**left}
+        for k, v in right.items():
+            if v is None:
+                result.pop(k, None)
+            else:
+                result[k] = v
+        return result
+
+    ch = _delta_channel_with_type(merge_files, dict).from_checkpoint(MISSING)
+
+    ch.update([{"file1.py": "content1", "file2.py": "content2"}])
+
+    # Delete file1, add file3
+    ch.update([{"file1.py": None, "file3.py": "content3"}])
+
+    assert ch.get() == {"file2.py": "content2", "file3.py": "content3"}
+
+    # Confirm writes reconstruction produces the same result
+    writes = [
+        {"file1.py": "content1", "file2.py": "content2"},
+        {"file1.py": None, "file3.py": "content3"},
+    ]
+    spec = _delta_channel_with_type(merge_files, dict)
+    ch2 = spec.from_checkpoint(writes)
+    assert ch2.get() == {"file2.py": "content2", "file3.py": "content3"}
@@ -0,0 +1,372 @@
+"""Benchmark: DeltaChannel vs BinaryOperatorAggregate storage and time.
+
+Run directly:  python tests/test_delta_channel_benchmark.py
+Run via pytest: pytest tests/test_delta_channel_benchmark.py -s
+
+Simulates realistic multi-turn conversations with paragraph-length messages
+(~100 tokens each) scaling up to 1M-token-equivalent histories.
+
+Token estimates: 1 token ≈ 4 chars; each turn ≈ 200 tokens (human + AI).
+A 1M-token conversation ≈ 5,000 turns of realistic messages.
+
+DeltaChannel stores only a zero-byte sentinel in checkpoint_blobs; the actual
+write data lives in checkpoint_writes (already stored there). Reconstruction
+walks the parent chain and replays writes through the operator — O(N) total
+storage vs O(N²) for plain add_messages.
+"""
+
+from __future__ import annotations
+
+import sys
+import time
+from typing import Annotated, Any
+
+import pytest
+from langchain_core.messages import AIMessage, HumanMessage
+from langgraph.checkpoint.memory import MemorySaver
+from typing_extensions import TypedDict
+
+from langgraph.channels.delta import DeltaChannel
+from langgraph.graph import END, StateGraph
+from langgraph.graph.message import add_messages
+
+try:
+    from langgraph.checkpoint.sqlite import SqliteSaver
+
+    _SQLITE_AVAILABLE = True
+except ImportError:
+    _SQLITE_AVAILABLE = False
+
+try:
+    from langgraph.checkpoint.postgres import PostgresSaver
+
+    _POSTGRES_AVAILABLE = True
+    _POSTGRES_URI = (
+        "postgres://postgres:postgres@localhost:5441/postgres?sslmode=disable"
+    )
+except ImportError:
+    _POSTGRES_AVAILABLE = False
+
+# ---------------------------------------------------------------------------
+# Realistic message payload (~100 tokens / ~400 chars each)
+# ---------------------------------------------------------------------------
+
+_HUMAN_TEMPLATE = (
+    "I need help understanding the implications of {topic} on our system architecture. "
+    "Specifically, I'm concerned about how this interacts with our existing {concern} "
+    "and whether we need to refactor the {component} layer before proceeding."
+)
+
+_AI_TEMPLATE = (
+    "Great question about {topic}. The key insight here is that {concern} introduces "
+    "a subtle ordering dependency that most teams overlook until they hit it in production. "
+    "For your {component} layer specifically, I'd recommend starting with a careful audit "
+    "of the interface boundaries before making any structural changes. This will give you "
+    "a clear picture of the blast radius and let you sequence the migration safely."
+)
+
+_TOPICS = [
+    "distributed tracing",
+    "eventual consistency",
+    "schema migration",
+    "backpressure handling",
+    "idempotency guarantees",
+    "cache invalidation",
+    "connection pooling",
+    "rate limiting",
+    "circuit breaking",
+    "observability pipelines",
+]
+
+_CONCERNS = [
+    "concurrency model",
+    "retry semantics",
+    "state management",
+    "error propagation",
+    "latency budget",
+]
+
+_COMPONENTS = [
+    "persistence",
+    "routing",
+    "ingestion",
+    "aggregation",
+    "serialization",
+]
+
+
+def _human_content(i: int) -> str:
+    return _HUMAN_TEMPLATE.format(
+        topic=_TOPICS[i % len(_TOPICS)],
+        concern=_CONCERNS[i % len(_CONCERNS)],
+        component=_COMPONENTS[i % len(_COMPONENTS)],
+    )
+
+
+def _ai_content(i: int) -> str:
+    return _AI_TEMPLATE.format(
+        topic=_TOPICS[i % len(_TOPICS)],
+        concern=_CONCERNS[i % len(_CONCERNS)],
+        component=_COMPONENTS[i % len(_COMPONENTS)],
+    )
+
+
+# ---------------------------------------------------------------------------
+# State definitions
+# ---------------------------------------------------------------------------
+
+
+class BinaryState(TypedDict):
+    messages: Annotated[list, add_messages]
+
+
+class DeltaState(TypedDict):
+    messages: Annotated[list, DeltaChannel(add_messages)]
+
+
+# ---------------------------------------------------------------------------
+# Graph factory
+# ---------------------------------------------------------------------------
+
+
+def _make_graph(state_cls: type, checkpointer: Any = None) -> Any:
+    def human_node(state: Any) -> dict:
+        return {}
+
+    def ai_node(state: Any) -> dict:
+        i = len(state["messages"]) // 2
+        return {"messages": [AIMessage(content=_ai_content(i), id=f"a{i}")]}
+
+    g = StateGraph(state_cls)
+    g.add_node("human", human_node)
+    g.add_node("ai", ai_node)
+    g.add_edge("human", "ai")
+    g.add_edge("ai", END)
+    g.set_entry_point("human")
+    return g.compile(checkpointer=checkpointer or MemorySaver())
+
+
+# ---------------------------------------------------------------------------
+# Measurement helpers
+# ---------------------------------------------------------------------------
+
+
+def _total_blob_bytes(saver: MemorySaver) -> int:
+    total = 0
+    for (_, _, _, _), (type_tag, blob) in saver.blobs.items():
+        if blob is not None:
+            total += len(blob)
+    return total
+
+
+def _run_turns(
+    n_turns: int,
+    state_cls: type,
+    checkpointer: Any = None,
+) -> tuple[float, float, int]:
+    """Run n_turns conversation turns.
+
+    Returns (write_elapsed_s, read_elapsed_s, total_blob_bytes).
+    blob_bytes is -1 for savers without in-memory blob stores (e.g. SQLite).
+    Read latency is measured as the time to invoke the graph with no new
+    messages after the full history is built — this forces state rehydration.
+    """
+    graph = _make_graph(state_cls, checkpointer)
+    config = {"configurable": {"thread_id": "bench"}}
+
+    t0 = time.perf_counter()
+    for i in range(n_turns):
+        graph.invoke(
+            {"messages": [HumanMessage(content=_human_content(i), id=f"h{i}")]},
+            config,
+        )
+    write_elapsed = time.perf_counter() - t0
+
+    # Measure read/rehydration: get_state forces the channel to rebuild
+    t1 = time.perf_counter()
+    for _ in range(5):
+        graph.get_state(config)
+    read_elapsed = (time.perf_counter() - t1) / 5
+
+    if isinstance(graph.checkpointer, MemorySaver):
+        blob_bytes = _total_blob_bytes(graph.checkpointer)
+    else:
+        blob_bytes = -1
+    return write_elapsed, read_elapsed, blob_bytes
+
+
+def _fmt_bytes(n: int) -> str:
+    if n >= 1_000_000:
+        return f"{n / 1_000_000:.1f} MB"
+    if n >= 1_000:
+        return f"{n / 1_000:.1f} KB"
+    return f"{n} B"
+
+
+def _approx_tokens(n_turns: int) -> str:
+    # ~100 tokens human + ~100 tokens AI per turn
+    tokens = n_turns * 200
+    if tokens >= 1_000_000:
+        return f"~{tokens / 1_000_000:.1f}M tok"
+    if tokens >= 1_000:
+        return f"~{tokens / 1_000:.0f}K tok"
+    return f"~{tokens} tok"
+
+
+# ---------------------------------------------------------------------------
+# Benchmark matrix
+# ---------------------------------------------------------------------------
+
+# Turn counts chosen to demonstrate O(N²) vs O(N) storage growth without running too long.
+# Extrapolation: 5,000 turns × ~200 tokens/turn ≈ 1M tokens (Claude's full context window).
+TURN_COUNTS = [10, 25, 50, 100, 500]
+
+
+def _checkpointer_factories() -> list[tuple[str, Any]]:
+    """Return (label, context_manager_or_none) pairs for available checkpointers."""
+    return [("InMemory", None)]
+
+
+def run_benchmark() -> None:
+    print()
+    print(
+        "DeltaChannel vs add_messages (BinaryOperatorAggregate) — checkpoint storage & latency"
+    )
+    print("Simulating realistic multi-turn conversations up to ~1M-token histories")
+    print("(5,000 turns × ~200 tokens/turn ≈ 1M tokens — Claude's full context window)")
+    print()
+
+    checkpointers: list[tuple[str, Any]] = [("InMemory", None)]
+    if _POSTGRES_AVAILABLE:
+        try:
+            import psycopg
+
+            psycopg.connect(_POSTGRES_URI).close()
+            checkpointers.append(("Postgres (recursive CTE)", "postgres"))
+        except Exception:
+            pass
+
+    for cp_label, cp_hint in checkpointers:
+        print(f"--- Checkpointer: {cp_label} ---")
+        _run_benchmark_for_checkpointer(cp_hint)
+
+
+def _run_benchmark_for_checkpointer(cp_hint: Any) -> None:
+    import contextlib
+    import tempfile
+
+    @contextlib.contextmanager
+    def _make_saver():
+        if cp_hint is None:
+            yield None
+        elif cp_hint == "postgres":
+            with PostgresSaver.from_conn_string(_POSTGRES_URI) as saver:
+                saver.setup()
+                with saver._cursor() as cur:
+                    cur.execute("DELETE FROM checkpoints WHERE thread_id = 'bench'")
+                    cur.execute(
+                        "DELETE FROM checkpoint_blobs WHERE thread_id = 'bench'"
+                    )
+                    cur.execute(
+                        "DELETE FROM checkpoint_writes WHERE thread_id = 'bench'"
+                    )
+                yield saver
+        else:
+            with tempfile.NamedTemporaryFile(suffix=".db") as f:
+                with SqliteSaver.from_conn_string(f.name) as saver:
+                    yield saver
+
+    rows = []
+    for turns in TURN_COUNTS:
+        with _make_saver() as saver:
+            b_wt, b_rt, b_bytes = _run_turns(turns, BinaryState, saver)
+        with _make_saver() as saver:
+            d_wt, d_rt, d_bytes = _run_turns(turns, DeltaState, saver)
+        rows.append((turns, b_bytes, d_bytes, b_rt, d_rt))
+
+    # ── Table 1: Storage ─────────────────────────────────────────────────────
+    W = 70
+    print("Storage (checkpoint blob bytes)")
+    print("=" * W)
+    print(
+        f"{'turns':>6}  {'ctx size':>10}  {'add_msgs':>12}  {'delta':>12}  {'savings':>8}"
+    )
+    print("-" * W)
+    storage_results = []
+    for turns, b_bytes, d_bytes, b_rt, d_rt in rows:
+        if b_bytes < 0:
+            print(
+                f"{turns:>6}  {_approx_tokens(turns):>10}  {'n/a':>12}  {'n/a':>12}  {'n/a':>8}"
+            )
+        else:
+            ratio = b_bytes / d_bytes if d_bytes else float("inf")
+            storage_results.append((turns, b_bytes, d_bytes, ratio))
+            print(
+                f"{turns:>6}  {_approx_tokens(turns):>10}  "
+                f"{_fmt_bytes(b_bytes):>12}  {_fmt_bytes(d_bytes):>12}  "
+                f"{ratio:>7.0f}x"
+            )
+    print("=" * W)
+    print()
+
+    # ── Table 2: Read latency ─────────────────────────────────────────────────
+    print("Read latency (avg of 5 get_state calls)")
+    print("=" * W)
+    print(f"{'turns':>6}  {'ctx size':>10}  {'add_msgs':>12}  {'delta':>12}")
+    print("-" * W)
+    for turns, b_bytes, d_bytes, b_rt, d_rt in rows:
+        print(
+            f"{turns:>6}  {_approx_tokens(turns):>10}  "
+            f"{b_rt * 1000:>10.1f}ms  {d_rt * 1000:>10.1f}ms"
+        )
+    print("=" * W)
+    print()
+
+    if storage_results:
+        turns, b_bytes, d_bytes, ratio = storage_results[-1]
+        b_rt = rows[-1][-2]
+        d_rt = rows[-1][-1]
+        print(
+            f"At {turns} turns: {_fmt_bytes(b_bytes)} → {_fmt_bytes(d_bytes)} ({ratio:.0f}x less storage); "
+            f"read {b_rt * 1000:.1f}ms → {d_rt * 1000:.1f}ms"
+        )
+        print()
+
+    print("Legend:")
+    print("  add_msgs = Annotated[list, add_messages]  — O(N²) storage")
+    print(
+        "  delta    = DeltaChannel(add_messages)     — O(N) storage, full chain replay"
+    )
+    print()
+
+
+# ---------------------------------------------------------------------------
+# Pytest entry point
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.skip(
+    reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
+)
+def test_delta_channel_benchmark(capsys: Any) -> None:
+    """Storage grows O(N²) for add_messages, O(N) for DeltaChannel."""
+    with capsys.disabled():
+        run_benchmark()
+
+    # Correctness assertion: DeltaChannel must use less storage at scale.
+    for turns in [25, 50]:
+        _, _, b_bytes = _run_turns(turns, BinaryState)
+        _, _, d_bytes = _run_turns(turns, DeltaState)
+        assert d_bytes < b_bytes, (
+            f"DeltaChannel should use less storage at {turns} turns, "
+            f"got delta={d_bytes} binary={b_bytes}"
+        )
+
+
+# ---------------------------------------------------------------------------
+# Script entry point
+# ---------------------------------------------------------------------------
+
+if __name__ == "__main__":
+    run_benchmark()
+    sys.exit(0)
@@ -0,0 +1,344 @@
+from __future__ import annotations
+
+import sys
+from typing import Any
+
+import pytest
+from langchain_core.callbacks.base import BaseCallbackHandler
+from langchain_core.callbacks.manager import CallbackManager
+from langgraph.checkpoint.memory import InMemorySaver
+from typing_extensions import TypedDict
+
+from langgraph.callbacks import (
+    GraphCallbackHandler,
+    GraphInterruptEvent,
+    GraphResumeEvent,
+)
+from langgraph.graph import START, StateGraph
+from langgraph.types import Command, Interrupt, interrupt
+
+NEEDS_CONTEXTVARS = pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="Python 3.11+ is required for async contextvars support",
+)
+
+
+class _GraphEventHandler(GraphCallbackHandler):
+    def __init__(self) -> None:
+        self.interrupt_events: list[GraphInterruptEvent] = []
+        self.resume_events: list[GraphResumeEvent] = []
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        self.interrupt_events.append(event)
+
+    def on_resume(self, event: GraphResumeEvent) -> Any:
+        self.resume_events.append(event)
+
+
+class _LangChainCustomEventHandler(BaseCallbackHandler):
+    run_inline = True
+
+    def __init__(self) -> None:
+        self.events: list[str] = []
+
+    def on_custom_event(self, name: str, data: Any, **kwargs: Any) -> Any:
+        self.events.append(name)
+
+
+class _RaisingGraphEventHandler(GraphCallbackHandler):
+    def __init__(
+        self,
+        *,
+        raise_on_interrupt: bool = False,
+        raise_on_resume: bool = False,
+        raise_error: bool = False,
+    ) -> None:
+        self.raise_on_interrupt = raise_on_interrupt
+        self.raise_on_resume = raise_on_resume
+        self.raise_error = raise_error
+
+    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        if self.raise_on_interrupt:
+            raise ValueError("boom-interrupt")
+
+    def on_resume(self, event: GraphResumeEvent) -> Any:
+        if self.raise_on_resume:
+            raise ValueError("boom-resume")
+
+
+class _AsyncRaisingGraphEventHandler(GraphCallbackHandler):
+    def __init__(
+        self,
+        *,
+        raise_on_interrupt: bool = False,
+        raise_on_resume: bool = False,
+        raise_error: bool = False,
+    ) -> None:
+        self.raise_on_interrupt = raise_on_interrupt
+        self.raise_on_resume = raise_on_resume
+        self.raise_error = raise_error
+
+    async def on_interrupt(self, event: GraphInterruptEvent) -> Any:
+        if self.raise_on_interrupt:
+            raise ValueError("boom-interrupt")
+
+    async def on_resume(self, event: GraphResumeEvent) -> Any:
+        if self.raise_on_resume:
+            raise ValueError("boom-resume")
+
+
+class _State(TypedDict):
+    answer: str | None
+
+
+def _build_interrupt_graph() -> Any:
+    def ask(state: _State) -> _State:
+        answer = interrupt("Provide value")
+        return {"answer": answer}
+
+    builder = StateGraph(_State)
+    builder.add_node("ask", ask)
+    builder.add_edge(START, "ask")
+    return builder.compile(checkpointer=InMemorySaver())
+
+
+def test_graph_callbacks_interrupt_and_resume_sync() -> None:
+    graph = _build_interrupt_graph()
+    handler = _GraphEventHandler()
+    langchain_handler = _LangChainCustomEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-sync"},
+        "callbacks": [langchain_handler, handler],
+    }
+
+    first = graph.invoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    assert len(handler.interrupt_events) == 1
+    assert handler.interrupt_events[0].interrupts
+    assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
+    assert handler.interrupt_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+    handler.resume_events.clear()
+    resumed = graph.invoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+
+    assert len(handler.resume_events) == 1
+    assert handler.resume_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+
+@pytest.mark.anyio
+@NEEDS_CONTEXTVARS
+async def test_graph_callbacks_interrupt_and_resume_async() -> None:
+    graph = _build_interrupt_graph()
+    handler = _GraphEventHandler()
+    langchain_handler = _LangChainCustomEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-async"},
+        "callbacks": [langchain_handler, handler],
+    }
+
+    first = await graph.ainvoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    assert len(handler.interrupt_events) == 1
+    assert handler.interrupt_events[0].interrupts
+    assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
+    assert handler.interrupt_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+    handler.resume_events.clear()
+    resumed = await graph.ainvoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+
+    assert len(handler.resume_events) == 1
+    assert handler.resume_events[0].checkpoint_ns == ()
+    assert langchain_handler.events == []
+
+
+def test_graph_callbacks_continue_when_interrupt_handler_raises_sync() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _RaisingGraphEventHandler(raise_on_interrupt=True)
+    recording_handler = _GraphEventHandler()
+
+    first = graph.invoke(
+        {"answer": None},
+        {
+            "configurable": {"thread_id": "graph-callback-sync-raises"},
+            "callbacks": [raising_handler, recording_handler],
+        },
+    )
+
+    assert "__interrupt__" in first
+    assert len(recording_handler.interrupt_events) == 1
+
+
+def test_graph_callbacks_continue_when_resume_handler_raises_sync() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _RaisingGraphEventHandler(raise_on_resume=True)
+    recording_handler = _GraphEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-sync-raises-resume"},
+        "callbacks": [raising_handler, recording_handler],
+    }
+
+    first = graph.invoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    resumed = graph.invoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+    assert len(recording_handler.resume_events) == 1
+
+
+def test_graph_callbacks_raise_error_propagates_sync() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _RaisingGraphEventHandler(
+        raise_on_interrupt=True,
+        raise_error=True,
+    )
+
+    with pytest.raises(ValueError, match="boom-interrupt"):
+        graph.invoke(
+            {"answer": None},
+            {
+                "configurable": {"thread_id": "graph-callback-sync-raise-error"},
+                "callbacks": [raising_handler],
+            },
+        )
+
+
+@pytest.mark.anyio
+@NEEDS_CONTEXTVARS
+async def test_graph_callbacks_continue_when_handler_raises_async() -> None:
+    graph = _build_interrupt_graph()
+    raising_interrupt_handler = _AsyncRaisingGraphEventHandler(raise_on_interrupt=True)
+    recording_handler = _GraphEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-async-raises-interrupt"},
+        "callbacks": [raising_interrupt_handler, recording_handler],
+    }
+
+    first = await graph.ainvoke({"answer": None}, config)
+    assert "__interrupt__" in first
+    assert len(recording_handler.interrupt_events) == 1
+
+    graph = _build_interrupt_graph()
+    raising_resume_handler = _AsyncRaisingGraphEventHandler(raise_on_resume=True)
+    recording_handler = _GraphEventHandler()
+    config = {
+        "configurable": {"thread_id": "graph-callback-async-raises-resume"},
+        "callbacks": [raising_resume_handler, recording_handler],
+    }
+
+    first = await graph.ainvoke({"answer": None}, config)
+    assert "__interrupt__" in first
+    resumed = await graph.ainvoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+    assert len(recording_handler.resume_events) == 1
+
+
+@pytest.mark.anyio
+@NEEDS_CONTEXTVARS
+async def test_graph_callbacks_raise_error_propagates_async() -> None:
+    graph = _build_interrupt_graph()
+    raising_handler = _AsyncRaisingGraphEventHandler(
+        raise_on_interrupt=True,
+        raise_error=True,
+    )
+
+    with pytest.raises(ValueError, match="boom-interrupt"):
+        await graph.ainvoke(
+            {"answer": None},
+            {
+                "configurable": {"thread_id": "graph-callback-async-raise-error"},
+                "callbacks": [raising_handler],
+            },
+        )
+
+
+def test_graph_callbacks_accept_base_callback_manager() -> None:
+    graph = _build_interrupt_graph()
+    graph_handler = _GraphEventHandler()
+    custom_handler = _LangChainCustomEventHandler()
+    manager = CallbackManager.configure(inheritable_callbacks=[custom_handler])
+    manager.add_handler(graph_handler)
+
+    first = graph.invoke(
+        {"answer": None},
+        {
+            "configurable": {"thread_id": "graph-callback-base-manager"},
+            "callbacks": manager,
+        },
+    )
+
+    assert "__interrupt__" in first
+    assert len(graph_handler.interrupt_events) == 1
+
+
+def test_non_graph_handler_via_add_handler_does_not_crash() -> None:
+    """Non-GraphCallbackHandler added via add_handler should not raise.
+
+    Libraries like opentelemetry-instrumentation-langchain monkey-patch
+    BaseCallbackManager.__init__ and inject handlers via add_handler().
+    These handlers inherit from BaseCallbackHandler, not
+    GraphCallbackHandler. They must be silently accepted — graph lifecycle
+    events will simply not be dispatched to them.
+    """
+    from langgraph.callbacks import _GraphCallbackManager
+
+    manager = _GraphCallbackManager()
+    plain_handler = _LangChainCustomEventHandler()
+
+    manager.add_handler(plain_handler, inherit=True)
+    assert plain_handler in manager.handlers
+
+
+def test_non_graph_handler_does_not_receive_lifecycle_events() -> None:
+    """Non-GraphCallbackHandler added alongside a GraphCallbackHandler
+    should not interfere with lifecycle event dispatch."""
+    graph = _build_interrupt_graph()
+    graph_handler = _GraphEventHandler()
+    plain_handler = _LangChainCustomEventHandler()
+
+    config = {
+        "configurable": {"thread_id": "graph-callback-mixed-handlers"},
+        "callbacks": [plain_handler, graph_handler],
+    }
+
+    first = graph.invoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    assert len(graph_handler.interrupt_events) == 1
+    assert plain_handler.events == []
+
+    resumed = graph.invoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+    assert len(graph_handler.resume_events) == 1
+    assert plain_handler.events == []
+
+
+@pytest.mark.anyio
+@NEEDS_CONTEXTVARS
+async def test_non_graph_handler_does_not_receive_lifecycle_events_async() -> None:
+    """Async variant: non-GraphCallbackHandler should not interfere."""
+    graph = _build_interrupt_graph()
+    graph_handler = _GraphEventHandler()
+    plain_handler = _LangChainCustomEventHandler()
+
+    config = {
+        "configurable": {"thread_id": "graph-callback-mixed-handlers-async"},
+        "callbacks": [plain_handler, graph_handler],
+    }
+
+    first = await graph.ainvoke({"answer": None}, config)
+    assert "__interrupt__" in first
+
+    assert len(graph_handler.interrupt_events) == 1
+    assert plain_handler.events == []
+
+    resumed = await graph.ainvoke(Command(resume="done"), config)
+    assert resumed == {"answer": "done"}
+    assert len(graph_handler.resume_events) == 1
+    assert plain_handler.events == []
@@ -1396,7 +1396,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                "langgraph_path": (PULL, "agent"),
                "langgraph_checkpoint_ns": AnyStr("agent:"),
                "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "fakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -1459,7 +1458,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                "langgraph_path": (PULL, "agent"),
                "langgraph_checkpoint_ns": AnyStr("agent:"),
                "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "fakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -1512,7 +1510,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                "langgraph_path": (PULL, "agent"),
                "langgraph_checkpoint_ns": AnyStr("agent:"),
                "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "fakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -6884,7 +6881,6 @@ def test_weather_subgraph(
                    "langgraph_path": ("__pregel_pull", "router_node"),
                    "langgraph_checkpoint_ns": AnyStr("router_node:"),
                    "checkpoint_ns": AnyStr("router_node:"),
-                    "_type": "fake-messages-list-chat-model",
                    "ls_provider": "fakemessageslistchatmodel",
                    "ls_model_type": "chat",
                    "ls_integration": "langchain_chat_model",
@@ -6912,7 +6908,6 @@ def test_weather_subgraph(
                    "langgraph_path": ("__pregel_pull", "model_node"),
                    "langgraph_checkpoint_ns": AnyStr("weather_graph:"),
                    "checkpoint_ns": AnyStr("weather_graph:"),
-                    "_type": "fake-messages-list-chat-model",
                    "ls_provider": "fakemessageslistchatmodel",
                    "ls_model_type": "chat",
                    "ls_integration": "langchain_chat_model",
@@ -6949,7 +6944,6 @@ def test_weather_subgraph(
                "langgraph_path": ("__pregel_pull", "router_node"),
                "langgraph_checkpoint_ns": AnyStr("router_node:"),
                "checkpoint_ns": AnyStr("router_node:"),
-                "_type": "fake-messages-list-chat-model",
                "ls_provider": "fakemessageslistchatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -1147,7 +1147,6 @@ async def test_prebuilt_tool_chat() -> None:
                "langgraph_path": (PULL, "agent"),
                "langgraph_checkpoint_ns": AnyStr("agent:"),
                "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "fakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -1210,7 +1209,6 @@ async def test_prebuilt_tool_chat() -> None:
                "langgraph_path": (PULL, "agent"),
                "langgraph_checkpoint_ns": AnyStr("agent:"),
                "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "fakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -1263,7 +1261,6 @@ async def test_prebuilt_tool_chat() -> None:
                "langgraph_path": (PULL, "agent"),
                "langgraph_checkpoint_ns": AnyStr("agent:"),
                "checkpoint_ns": AnyStr("agent:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "fakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -3981,7 +3978,6 @@ async def test_weather_subgraph(
                    "langgraph_path": ("__pregel_pull", "router_node"),
                    "langgraph_checkpoint_ns": AnyStr("router_node:"),
                    "checkpoint_ns": AnyStr("router_node:"),
-                    "_type": "fake-messages-list-chat-model",
                    "ls_provider": "fakemessageslistchatmodel",
                    "ls_model_type": "chat",
                    "ls_integration": "langchain_chat_model",
@@ -4009,7 +4005,6 @@ async def test_weather_subgraph(
                    "langgraph_path": ("__pregel_pull", "model_node"),
                    "langgraph_checkpoint_ns": AnyStr("weather_graph:"),
                    "checkpoint_ns": AnyStr("weather_graph:"),
-                    "_type": "fake-messages-list-chat-model",
                    "ls_provider": "fakemessageslistchatmodel",
                    "ls_model_type": "chat",
                    "ls_integration": "langchain_chat_model",
@@ -4046,7 +4041,6 @@ async def test_weather_subgraph(
                "langgraph_path": ("__pregel_pull", "router_node"),
                "langgraph_checkpoint_ns": AnyStr("router_node:"),
                "checkpoint_ns": AnyStr("router_node:"),
-                "_type": "fake-messages-list-chat-model",
                "ls_provider": "fakemessageslistchatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -615,8 +615,11 @@ def test_run_from_checkpoint_id_retains_previous_writes(
        )
    ]

-    assert len(new_history) == len(history) + 1
-    for original, new in zip(history, new_history[1:]):
+    # +2: one fork checkpoint from time travel, one from the new execution
+    assert len(new_history) == len(history) + 2
+    # new_history[0] is the new execution result, new_history[1] is the fork
+    assert new_history[1].metadata["source"] == "fork"
+    for original, new in zip(history, new_history[2:]):
        assert original.values == new.values
        assert original.next == new.next
        assert original.metadata["step"] == new.metadata["step"]
@@ -624,7 +627,7 @@ def test_run_from_checkpoint_id_retains_previous_writes(
    def _get_tasks(hist: list, start: int):
        return [h.tasks for h in hist[start:]]

-    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 2) == _get_tasks(history, 0)


 def test_batch_two_processes_in_out() -> None:
@@ -1329,20 +1332,22 @@ def test_imp_nested(
    }

    thread1 = {"configurable": {"thread_id": "1"}}
-    assert [*graph.stream([0, 1], thread1, durability=durability)] == [
-        {"submapper": "0"},
+    result = [*graph.stream([0, 1], thread1, durability=durability)]
+    # nested tasks run concurrently so output order is non-deterministic
+    assert sorted(result[:-1], key=lambda d: str(d)) == [
        {"mapper": "00"},
-        {"submapper": "1"},
        {"mapper": "11"},
-        {
-            "__interrupt__": (
-                Interrupt(
-                    value="question",
-                    id=AnyStr(),
-                ),
-            )
-        },
+        {"submapper": "0"},
+        {"submapper": "1"},
    ]
+    assert result[-1] == {
+        "__interrupt__": (
+            Interrupt(
+                value="question",
+                id=AnyStr(),
+            ),
+        )
+    }

    assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
        "00answera",
@@ -6269,7 +6274,7 @@ def test_sync_streaming_with_functional_api() -> None:
    @task()
    def slow() -> dict:
        time.sleep(time_delay)  # Simulate a delay of 10 ms
-        return {"tic": time.time()}
+        return {"tic": time.monotonic()}

    @entrypoint()
    def graph(inputs: dict) -> list:
@@ -6282,7 +6287,7 @@ def test_sync_streaming_with_functional_api() -> None:
    for chunk in graph.stream({}):
        if "slow" not in chunk:  # We'll just look at the updates from `slow`
            continue
-        arrival_times.append(time.time())
+        arrival_times.append(time.monotonic())

    assert len(arrival_times) == 2
    delta = arrival_times[1] - arrival_times[0]
@@ -6891,7 +6896,6 @@ def test_tags_stream_mode_messages() -> None:
                "langgraph_path": ("__pregel_pull", "call_model"),
                "langgraph_checkpoint_ns": AnyStr("call_model:"),
                "checkpoint_ns": AnyStr("call_model:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "genericfakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -6901,6 +6905,60 @@ def test_tags_stream_mode_messages() -> None:
    ]


+def test_configurable_propagates_to_stream_metadata() -> None:
+    """Regression: thread_id, run_id, assistant_id, graph_id,
+    and langgraph_auth_user_id from configurable must appear
+    in stream_mode='messages' metadata."""
+
+    def my_node(state):
+        return {"messages": HumanMessage(content="hello")}
+
+    graph = (
+        StateGraph(MessagesState)
+        .add_node("my_node", my_node)
+        .add_edge(START, "my_node")
+        .compile()
+    )
+
+    config = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+            # these should NOT be propagated into metadata
+            "some_api_key": "secret",
+            "custom_setting": {"nested": True},
+        },
+    }
+    results = list(graph.stream({"messages": []}, config, stream_mode="messages"))
+    assert len(results) == 1
+    _, metadata = results[0]
+    # propagated keys
+    assert metadata["thread_id"] == "th-123"
+    assert metadata["checkpoint_id"] == "ckpt-1"
+    assert metadata["checkpoint_ns"] == "ns-1"
+    assert metadata["task_id"] == "task-1"
+    assert metadata["run_id"] == "run-456"
+    assert metadata["assistant_id"] == "asst-789"
+    assert metadata["graph_id"] == "graph-0"
+    # These are only present in trace metadata by default as of langgraph 1.2
+    # assert metadata["model"] == "gpt-4o"
+    # assert metadata["user_id"] == "uid-1"
+    # assert metadata["cron_id"] == "cron-1"
+    # assert metadata["langgraph_auth_user_id"] == "user-1"
+    # non-allowlisted keys must not appear
+    assert "some_api_key" not in metadata
+    assert "custom_setting" not in metadata
+
+
 def test_stream_mode_messages_command() -> None:
    from langchain_core.messages import HumanMessage

@@ -9342,3 +9400,190 @@ def test_fork_does_not_apply_pending_writes(

    # Should be: 1 (input) + 20 (forked node_a) + 100 (node_b) = 121
    assert result == {"value": 121}
+
+
+async def test_delta_channel_end_to_end_inmemory() -> None:
+    """Full graph run: DeltaChannel accumulates correctly across multiple turns."""
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def respond(state: State) -> dict:
+        n = len(state["messages"])
+        return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    graph = builder.compile(checkpointer=InMemorySaver())
+
+    config = {"configurable": {"thread_id": "diff-test-1"}}
+
+    # Turn 1
+    graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
+    # Turn 2
+    graph.invoke({"messages": [HumanMessage(content="world", id="h2")]}, config)
+    # Turn 3
+    graph.invoke({"messages": [HumanMessage(content="bye", id="h3")]}, config)
+
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    # 3 human + 3 AI = 6 total
+    assert len(msgs) == 6, f"expected 6 messages, got {len(msgs)}: {msgs}"
+    assert msgs[0].content == "hello"
+    assert msgs[2].content == "world"
+    assert msgs[4].content == "bye"
+    assert msgs[1].content == "reply-1"
+    assert msgs[3].content == "reply-3"
+    assert msgs[5].content == "reply-5"
+
+
+async def test_delta_channel_time_travel() -> None:
+    """Time-travel back to turn-1 checkpoint and resume; continuation must not include turn-2 deltas."""
+    from langchain_core.messages import AIMessage, HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    counter = {"n": 0}
+
+    def respond(state: State) -> dict:
+        counter["n"] += 1
+        return {
+            "messages": [
+                AIMessage(content=f"ai-{counter['n']}", id=f"ai-{counter['n']}")
+            ]
+        }
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    saver = InMemorySaver()
+    graph = builder.compile(checkpointer=saver)
+
+    config = {"configurable": {"thread_id": "diff-time-travel"}}
+
+    # Run 2 turns: h1→ai-1, h2→ai-2
+    graph.invoke({"messages": [HumanMessage(content="h1", id="h1")]}, config)
+    graph.invoke({"messages": [HumanMessage(content="h2", id="h2")]}, config)
+
+    # Find the checkpoint after turn 1 (2 messages: h1 + ai-1)
+    history = list(graph.get_state_history(config))
+    after_turn1 = next(h for h in history if len(h.values.get("messages", [])) == 2)
+
+    assert len(after_turn1.values["messages"]) == 2
+    assert after_turn1.values["messages"][0].content == "h1"
+    assert after_turn1.values["messages"][1].content == "ai-1"
+
+    # Resume from turn-1 checkpoint: inject h3, expect 3 messages total (h1, ai-1, ai-N)
+    # NOT 5 messages (turn-2 deltas must not bleed into the resumed run)
+    result = graph.invoke(
+        {"messages": [HumanMessage(content="h3", id="h3")]},
+        after_turn1.config,
+    )
+    msgs = result["messages"]
+    # Should be: h1, ai-1, h3, ai-N — 4 messages total
+    assert len(msgs) == 4, (
+        f"expected 4 messages after time-travel resume, got {len(msgs)}: {msgs}"
+    )
+    assert msgs[0].content == "h1"
+    assert msgs[1].content == "ai-1"
+    assert msgs[2].content == "h3"
+
+
+async def test_delta_channel_remove_message_end_to_end() -> None:
+    """RemoveMessage inside a DeltaChannel graph must persist and reload correctly."""
+    from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def respond(state: State) -> dict:
+        return {"messages": [AIMessage(content="reply", id="ai-1")]}
+
+    def delete_first(state: State) -> dict:
+        # removes the first message
+        return {"messages": [RemoveMessage(id=state["messages"][0].id)]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_node("delete_first", delete_first)
+    builder.add_edge(START, "respond")
+    builder.add_edge("respond", "delete_first")
+    graph = builder.compile(checkpointer=InMemorySaver())
+
+    config = {"configurable": {"thread_id": "diff-remove-test"}}
+    graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
+
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    # h1 was removed, only ai-1 should remain
+    assert len(msgs) == 1, f"expected 1 message, got {len(msgs)}: {msgs}"
+    assert msgs[0].id == "ai-1"
+
+    # A subsequent turn must reconstruct from the checkpoint correctly
+    graph.invoke({"messages": [HumanMessage(content="again", id="h2")]}, config)
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    # ai-1 + h2 + ai-1(second reply, same id overwrites) + h2 removed
+    # more simply: after second run we expect ai-1 updated + h2 remaining minus deleted h2
+    # just assert h1 is still gone
+    assert all(m.id != "h1" for m in msgs), (
+        "h1 should still be absent after second turn"
+    )
+
+
+async def test_delta_channel_update_by_id_end_to_end() -> None:
+    """Updating a message by ID via DeltaChannel must persist and reload correctly."""
+    from langchain_core.messages import HumanMessage
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    from langgraph.channels.delta import DeltaChannel
+    from langgraph.graph import START, StateGraph
+    from langgraph.graph.message import add_messages
+
+    class State(TypedDict):
+        messages: Annotated[list, DeltaChannel(add_messages)]
+
+    def update_msg(state: State) -> dict:
+        # re-send h1 with updated content
+        return {"messages": [HumanMessage(content="updated", id="h1")]}
+
+    builder = StateGraph(State)
+    builder.add_node("update_msg", update_msg)
+    builder.add_edge(START, "update_msg")
+    graph = builder.compile(checkpointer=InMemorySaver())
+
+    config = {"configurable": {"thread_id": "diff-update-id-test"}}
+    graph.invoke({"messages": [HumanMessage(content="original", id="h1")]}, config)
+
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    assert len(msgs) == 1, f"expected 1 message, got {len(msgs)}: {msgs}"
+    assert msgs[0].content == "updated"
+    assert msgs[0].id == "h1"
+
+    # Second turn: verify the updated state is the base for further accumulation
+    graph.invoke({"messages": [HumanMessage(content="new", id="h2")]}, config)
+    state = graph.get_state(config)
+    msgs = state.values["messages"]
+    ids = [m.id for m in msgs]
+    assert "h1" in ids  # h1 persists (updated, not duplicated)
+    assert "h2" in ids
+    assert ids.count("h1") == 1, "h1 must not be duplicated"
@@ -20,6 +20,7 @@ from uuid import UUID

 import pytest
 from langchain_core.language_models import GenericFakeChatModel
+from langchain_core.messages import HumanMessage
 from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
 from langchain_core.utils.aiter import aclosing
 from langgraph.cache.base import BaseCache
@@ -2085,8 +2086,11 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
        )
    ]

-    assert len(new_history) == len(history) + 1
-    for original, new in zip(history, new_history[1:]):
+    # +2: one fork checkpoint from time travel, one from the new execution
+    assert len(new_history) == len(history) + 2
+    # new_history[0] is the new execution result, new_history[1] is the fork
+    assert new_history[1].metadata["source"] == "fork"
+    for original, new in zip(history, new_history[2:]):
        assert original.values == new.values
        assert original.next == new.next
        assert original.metadata["step"] == new.metadata["step"]
@@ -2094,7 +2098,7 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
    def _get_tasks(hist: list, start: int):
        return [h.tasks for h in hist[start:]]

-    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 2) == _get_tasks(history, 0)


 async def test_cond_edge_after_send() -> None:
@@ -7541,7 +7545,6 @@ async def test_tags_stream_mode_messages() -> None:
                "langgraph_path": ("__pregel_pull", "call_model"),
                "langgraph_checkpoint_ns": AnyStr("call_model:"),
                "checkpoint_ns": AnyStr("call_model:"),
-                "_type": "generic-fake-chat-model",
                "ls_provider": "genericfakechatmodel",
                "ls_model_type": "chat",
                "ls_integration": "langchain_chat_model",
@@ -7551,6 +7554,67 @@ async def test_tags_stream_mode_messages() -> None:
    ]


+async def test_configurable_propagates_to_stream_metadata() -> None:
+    """Regression: thread_id, run_id, assistant_id, graph_id,
+    and langgraph_auth_user_id from configurable must appear
+    in stream_mode='messages' metadata."""
+
+    def my_node(state):
+        return {"messages": HumanMessage(content="hello")}
+
+    graph = (
+        StateGraph(MessagesState)
+        .add_node("my_node", my_node)
+        .add_edge(START, "my_node")
+        .compile()
+    )
+
+    config = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+            # these should NOT be propagated into metadata
+            "some_api_key": "secret",
+            "custom_setting": {"nested": True},
+        },
+    }
+    results = [
+        chunk
+        async for chunk in graph.astream(
+            {"messages": []}, config, stream_mode="messages"
+        )
+    ]
+    assert len(results) == 1
+    _, metadata = results[0]
+    # propagated keys
+    assert metadata["thread_id"] == "th-123"
+    assert metadata["checkpoint_id"] == "ckpt-1"
+    assert metadata["checkpoint_ns"] == "ns-1"
+    assert metadata["task_id"] == "task-1"
+    assert metadata["run_id"] == "run-456"
+    assert metadata["assistant_id"] == "asst-789"
+    assert metadata["graph_id"] == "graph-0"
+
+    # These will only be traced as of langgraph 1.2 and not present by default in
+    # metadata
+    # assert metadata["model"] == "gpt-4o"
+    # assert metadata["user_id"] == "uid-1"
+    # assert metadata["cron_id"] == "cron-1"
+    # assert metadata["langgraph_auth_user_id"] == "user-1"
+    # non-allowlisted keys must not appear
+    assert "some_api_key" not in metadata
+    assert "custom_setting" not in metadata
+
+
 async def test_stream_mode_messages_command() -> None:
    from langchain_core.messages import HumanMessage

@@ -501,13 +501,13 @@ async def test_execution_info_populated_in_graph_async() -> None:
    assert isinstance(info.node_first_attempt_time, float)


-def test_server_info_from_metadata() -> None:
-    """server_info is built from assistant_id/graph_id in config metadata."""
+def test_server_info_from_configurable() -> None:
+    """server_info is built from assistant_id/graph_id in config configurable."""
    captured: dict[str, Any] = {}
    compiled = _make_capture_graph(captured)
    compiled.invoke(
        {"message": "hi"},
-        config={"metadata": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
+        config={"configurable": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
    )
    si = captured["server_info"]
    assert si is not None
@@ -516,8 +516,8 @@ def test_server_info_from_metadata() -> None:
    assert si.user is None


-def test_server_info_none_without_metadata() -> None:
-    """server_info is None when no assistant_id/graph_id in metadata."""
+def test_server_info_none_without_configurable() -> None:
+    """server_info is None when no assistant_id/graph_id in configurable."""
    captured: dict[str, Any] = {}
    compiled = _make_capture_graph(captured)
    compiled.invoke({"message": "hi"})
@@ -579,8 +579,11 @@ def test_server_info_user_from_auth_user() -> None:
    compiled.invoke(
        {"message": "hi"},
        config={
-            "configurable": {"langgraph_auth_user": proxy},
-            "metadata": {"assistant_id": "asst-proxy", "graph_id": "graph-proxy"},
+            "configurable": {
+                "langgraph_auth_user": proxy,
+                "assistant_id": "asst-proxy",
+                "graph_id": "graph-proxy",
+            },
        },
    )
    si = captured["server_info"]
@@ -37,6 +37,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
    Returns a list of dicts (newest-first, matching get_state_history order) with:
      - id: short checkpoint id suffix (last 6 chars)
      - parent_id: short parent checkpoint id suffix or None
+      - source: checkpoint metadata source (input, loop, fork, update)
      - next: tuple of next node names
      - values: channel values snapshot
    """
@@ -52,6 +53,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
            {
                "id": cid[-6:],
                "parent_id": pid[-6:] if pid else None,
+                "source": s.metadata.get("source"),
                "next": s.next,
                "values": s.values,
            }
@@ -280,6 +282,116 @@ def test_replay_from_before_interrupt_refires(
    assert call_count["node_b"] == 1  # NOT re-executed (after interrupt)


+def test_replay_from_before_interrupt_then_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Replay from checkpoint before interrupt node, then resume with a new
+    answer and verify the graph completes with the new value.
+
+    Graph: START --> node_a --> ask_human (interrupt) --> node_b --> END
+
+    Original run:
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(node_a,)     values=[]
+      source=loop   next=(ask_human,)  values=[a]            <-- replay from here
+      source=loop   next=(node_b,)     values=[a, human:old_answer]
+      source=loop   next=()            values=[a, human:old_answer, b]
+
+    After replay (fork created) + resume with "new_answer":
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(node_a,)     values=[]
+      source=loop   next=(ask_human,)  values=[a]            <-- branch point
+      source=loop   next=(node_b,)     values=[a, human:old_answer]
+      source=loop   next=()            values=[a, human:old_answer, b]  (old branch)
+      source=fork   next=(ask_human,)  values=[a]            <-- fork from branch point
+      source=loop   next=(node_b,)     values=[a, human:new_answer]
+      source=loop   next=()            values=[a, human:new_answer, b]  (new branch)
+    """
+
+    called: list[str] = []
+
+    def node_a(state: State) -> State:
+        called.append("node_a")
+        return {"value": ["a"]}
+
+    def ask_human(state: State) -> State:
+        called.append("ask_human")
+        answer = interrupt("What is your input?")
+        return {"value": [f"human:{answer}"]}
+
+    def node_b(state: State) -> State:
+        called.append("node_b")
+        return {"value": ["b"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("node_a", node_a)
+        .add_node("ask_human", ask_human)
+        .add_node("node_b", node_b)
+        .add_edge(START, "node_a")
+        .add_edge("node_a", "ask_human")
+        .add_edge("ask_human", "node_b")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: invoke until interrupt, then resume to complete ---
+    graph.invoke({"value": []}, config)
+    graph.invoke(Command(resume="old_answer"), config)
+
+    original_history = list(graph.get_state_history(config))
+    original = _checkpoint_summary(original_history)
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Replay from checkpoint before ask_human ---
+    before_ask = next(s for s in original_history if s.next == ("ask_human",))
+
+    called.clear()
+    replay_result = graph.invoke(None, before_ask.config)
+    assert replay_result["__interrupt__"][0].value == "What is your input?"
+    assert "ask_human" in called
+    assert "node_a" not in called  # before the replay point, not re-executed
+
+    # A fork checkpoint is now the latest — it branches from the replay point
+    post_replay = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"]) for s in post_replay] == [
+        ("fork", ("ask_human",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("node_b",)),
+        ("loop", ("ask_human",)),  # branch point
+        ("loop", ("node_a",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer ---
+    called.clear()
+    final_result = graph.invoke(Command(resume="new_answer"), config)
+    assert final_result["value"] == ["a", "human:new_answer", "b"]
+    assert "ask_human" in called
+    assert "node_b" in called
+
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from fork)
+        ("loop", (), {"value": ["a", "human:new_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:new_answer"]}),
+        ("fork", ("ask_human",), {"value": ["a"]}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
 def test_replay_interrupt_stable_across_replays(
    sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
@@ -320,8 +432,14 @@ def test_replay_interrupt_stable_across_replays(
        r = graph.invoke(None, before_ask.config)
        results.append(r)

-    assert all(r == results[0] for r in results)
-    assert "__interrupt__" in results[0]
+    # Each replay creates a fork with a unique interrupt ID, so we compare
+    # interrupt values and state values rather than full equality.
+    assert all("__interrupt__" in r for r in results)
+    assert all(
+        r["__interrupt__"][0].value == results[0]["__interrupt__"][0].value
+        for r in results
+    )
+    assert all(r["value"] == results[0]["value"] for r in results)


 def test_fork_from_before_interrupt_refires(
@@ -854,6 +972,356 @@ def test_subgraph_interrupt_replay_from_interrupt_checkpoint(
    assert "step_b" not in called


+def test_subgraph_interrupt_replay_from_parent_then_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Replay from the parent checkpoint where a subgraph interrupt fired,
+    then resume with a new answer. Verifies that a fork is created and the
+    full graph completes. Checks full checkpoint history at each stage."""
+
+    called: list[str] = []
+
+    def router(state: State) -> State:
+        called.append("router")
+        return {"value": ["routed"]}
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["sub_a"]}
+
+    def ask_human(state: State) -> State:
+        called.append("ask_human")
+        answer = interrupt("Provide input:")
+        return {"value": [f"human:{answer}"]}
+
+    def step_b(state: State) -> State:
+        called.append("step_b")
+        return {"value": ["sub_b"]}
+
+    subgraph = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_human", ask_human)
+        .add_node("step_b", step_b)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_human")
+        .add_edge("ask_human", "step_b")
+        .compile(checkpointer=True)
+    )
+
+    def post_process(state: State) -> State:
+        called.append("post_process")
+        return {"value": ["post"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("router", router)
+        .add_node("subgraph_node", subgraph)
+        .add_node("post_process", post_process)
+        .add_edge(START, "router")
+        .add_edge("router", "subgraph_node")
+        .add_edge("subgraph_node", "post_process")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until interrupt, then resume to complete
+    graph.invoke({"value": []}, config)
+    graph.invoke(Command(resume="old_answer"), config)
+
+    # Original parent history (newest first)
+    original_history = list(graph.get_state_history(config))
+    assert [s.next for s in original_history] == [
+        (),  # done
+        ("post_process",),
+        ("subgraph_node",),  # subgraph ran, interrupt fired here
+        ("router",),
+        ("__start__",),
+    ]
+
+    # Find the parent checkpoint where the interrupt fired
+    interrupt_checkpoint = next(
+        s for s in original_history if s.next == ("subgraph_node",)
+    )
+
+    # Replay from parent checkpoint — subgraph re-executes, interrupt re-fires
+    called.clear()
+    replay_result = graph.invoke(None, interrupt_checkpoint.config)
+    assert "__interrupt__" in replay_result
+    assert replay_result["__interrupt__"][0].value == "Provide input:"
+    assert "step_a" in called
+    assert "ask_human" in called
+    assert "step_b" not in called
+
+    # Verify fork checkpoint was created
+    post_replay_history = list(graph.get_state_history(config))
+    assert [s.next for s in post_replay_history] == [
+        ("subgraph_node",),  # fork (interrupt pending)
+        (),  # original done
+        ("post_process",),
+        ("subgraph_node",),
+        ("router",),
+        ("__start__",),
+    ]
+    assert [s.metadata["source"] for s in post_replay_history] == [
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+    fork = post_replay_history[0]
+    assert (
+        fork.parent_config["configurable"]["checkpoint_id"]
+        == interrupt_checkpoint.config["configurable"]["checkpoint_id"]
+    )
+
+    # Resume with a new answer — full graph should complete
+    called.clear()
+    final_result = graph.invoke(Command(resume="new_answer"), config)
+    assert "__interrupt__" not in final_result
+    assert "human:new_answer" in final_result["value"]
+    assert "sub_b" in final_result["value"]
+    assert "post" in final_result["value"]
+    assert "ask_human" in called
+    assert "step_b" in called
+    assert "post_process" in called
+
+    # Final checkpoint history
+    final_history = list(graph.get_state_history(config))
+    assert [s.next for s in final_history] == [
+        (),  # new branch done
+        ("post_process",),  # new branch post_process
+        ("subgraph_node",),  # fork
+        (),  # original done
+        ("post_process",),
+        ("subgraph_node",),
+        ("router",),
+        ("__start__",),
+    ]
+    assert [s.metadata["source"] for s in final_history] == [
+        "loop",
+        "loop",
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+
+
+def test_subgraph_interrupt_resume_with_explicit_head_checkpoint_id(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Resume with Command(resume=...) plus the current head checkpoint_id
+    in config. The subgraph must continue from the interrupted node, not
+    restart from scratch. Explicit checkpoint_id triggers is_replaying but
+    this is a resume, not a time-travel, so ReplayState should not apply."""
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["sub_a"]}
+
+    def ask_human(state: State) -> State:
+        called.append("ask_human")
+        answer = interrupt("Provide input:")
+        return {"value": [f"human:{answer}"]}
+
+    def step_b(state: State) -> State:
+        called.append("step_b")
+        return {"value": ["sub_b"]}
+
+    subgraph = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_human", ask_human)
+        .add_node("step_b", step_b)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_human")
+        .add_edge("ask_human", "step_b")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("subgraph_node", subgraph)
+        .add_edge(START, "subgraph_node")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until interrupt fires in subgraph
+    graph.invoke({"value": []}, config)
+    assert called == ["step_a", "ask_human"]
+
+    # Resume with explicit head checkpoint_id in config
+    head_checkpoint_id = graph.get_state(config).config["configurable"][
+        "checkpoint_id"
+    ]
+    called.clear()
+    resume_config = {
+        "configurable": {
+            "thread_id": "1",
+            "checkpoint_id": head_checkpoint_id,
+            "checkpoint_ns": "",
+        }
+    }
+    result = graph.invoke(Command(resume="answer"), resume_config)
+
+    assert called == ["ask_human", "step_b"]
+    assert "__interrupt__" not in result
+    assert result["value"] == ["sub_a", "human:answer", "sub_b"]
+
+
+def test_subgraph_replay_loads_accumulated_state_then_resume(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Two parent invocations, then replay from before the subgraph in the
+    2nd invocation. The subgraph (checkpointer=True) should load its
+    accumulated state from the 1st invocation via ReplayState, re-fire
+    the interrupt, and then resume + complete.
+
+    This tests the ReplayState path: the parent is replaying and the
+    subgraph uses list(before=parent_checkpoint_id) to find its
+    corresponding checkpoint from the original execution.
+    """
+
+    class SubState(TypedDict):
+        value: Annotated[list[str], operator.add]
+
+    class ParentState(TypedDict):
+        results: Annotated[list[str], operator.add]
+
+    started_state: list[dict] = []
+
+    def step_a(state: SubState) -> SubState:
+        started_state.append(dict(state))
+        answer = interrupt("question_a")
+        return {"value": [f"a:{answer}"]}
+
+    subgraph = (
+        StateGraph(SubState)
+        .add_node("step_a", step_a)
+        .add_edge(START, "step_a")
+        .compile(checkpointer=True)
+    )
+
+    def parent_node(state: ParentState) -> ParentState:
+        return {"results": ["p"]}
+
+    graph = (
+        StateGraph(ParentState)
+        .add_node("parent_node", parent_node)
+        .add_node("sub_node", subgraph)
+        .add_edge(START, "parent_node")
+        .add_edge("parent_node", "sub_node")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # === 1st invocation: complete with answer "a1" ===
+    graph.invoke({"results": []}, config)
+    graph.invoke(Command(resume="a1"), config)
+
+    # step_a saw empty state (fresh subgraph)
+    assert started_state[0] == {"value": []}
+
+    # === 2nd invocation: complete with answer "a2" ===
+    started_state.clear()
+    graph.invoke({"results": []}, config)
+    graph.invoke(Command(resume="a2"), config)
+
+    # Stateful subgraph retained state from 1st invocation
+    assert started_state[0] == {"value": ["a:a1"]}
+
+    # Original history (newest first)
+    original_history = list(graph.get_state_history(config))
+    assert [s.next for s in original_history] == [
+        (),  # 2nd done
+        ("sub_node",),  # 2nd sub_node
+        ("parent_node",),  # 2nd parent_node
+        ("__start__",),  # 2nd input
+        (),  # 1st done
+        ("sub_node",),  # 1st sub_node
+        ("parent_node",),  # 1st parent_node
+        ("__start__",),  # 1st input
+    ]
+
+    # Replay from before sub_node in 2nd invocation (newest match)
+    before_sub_2nd = [s for s in original_history if s.next == ("sub_node",)][0]
+    started_state.clear()
+    replay = graph.invoke(None, before_sub_2nd.config)
+    assert "__interrupt__" in replay
+
+    # Subgraph should see accumulated state from END of 1st invocation
+    assert started_state[0] == {"value": ["a:a1"]}
+
+    # Verify fork was created
+    post_replay_history = list(graph.get_state_history(config))
+    assert [s.next for s in post_replay_history] == [
+        ("sub_node",),  # fork (interrupt pending)
+        (),  # 2nd done
+        ("sub_node",),  # 2nd sub_node
+        ("parent_node",),  # 2nd parent_node
+        ("__start__",),  # 2nd input
+        (),  # 1st done
+        ("sub_node",),  # 1st sub_node
+        ("parent_node",),  # 1st parent_node
+        ("__start__",),  # 1st input
+    ]
+    assert [s.metadata["source"] for s in post_replay_history] == [
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+
+    # Resume with a new answer
+    started_state.clear()
+    final = graph.invoke(Command(resume="a3"), config)
+    assert "__interrupt__" not in final
+    assert final["results"] == ["p", "p"]
+
+    # Final history
+    final_history = list(graph.get_state_history(config))
+    assert [s.next for s in final_history] == [
+        (),  # new branch done
+        ("sub_node",),  # fork
+        (),  # 2nd done
+        ("sub_node",),  # 2nd sub_node
+        ("parent_node",),  # 2nd parent_node
+        ("__start__",),  # 2nd input
+        (),  # 1st done
+        ("sub_node",),  # 1st sub_node
+        ("parent_node",),  # 1st parent_node
+        ("__start__",),  # 1st input
+    ]
+    assert [s.metadata["source"] for s in final_history] == [
+        "loop",
+        "fork",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+        "loop",
+        "loop",
+        "loop",
+        "input",
+    ]
+
+
 def test_subgraph_interrupt_full_flow(
    sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
@@ -1290,6 +1758,321 @@ def test_subgraph_time_travel_to_second_interrupt(
    assert "ask_1" not in called


+def test_subgraph_time_travel_resume_from_first_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the first interrupt, then
+    resume through both interrupts with new answers.
+
+    This verifies the key bug fix: after time-traveling to a subgraph
+    checkpoint with an interrupt, a fork checkpoint is created so that
+    subsequent resumes find the correct state (not the old branch tip).
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    Parent history after original run completes:
+      source=input  next=(__start__,)   values=[]
+      source=loop   next=(executor,)    values=[]
+      source=loop   next=()             values=[step_a_done, ask_1:answer_1, ask_2:answer_2]
+
+    After time-traveling to 1st interrupt + resuming with new answers:
+      source=input  next=(__start__,)   values=[]
+      source=loop   next=(executor,)    values=[]          <-- branch point
+      source=loop   next=()             values=[..., ask_2:answer_2]  (old branch)
+      source=fork   next=(executor,)    values=[]          <-- fork from time travel
+      source=loop   next=()             values=[..., ask_2:new_answer_2]  (new branch)
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    graph.invoke({"value": []}, config)
+    sub_config_at_first = graph.get_state(config, subgraphs=True).tasks[0].state.config
+    graph.invoke(Command(resume="answer_1"), config)
+    graph.invoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to first interrupt's subgraph checkpoint ---
+    called.clear()
+    replay_result = graph.invoke(None, sub_config_at_first)
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called  # before interrupt, not re-executed
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume both interrupts with new answers ---
+    called.clear()
+    resume_1 = graph.invoke(Command(resume="new_answer_1"), config)
+    assert resume_1["__interrupt__"][0].value == "Question 2?"
+    assert "ask_1" in called
+
+    called.clear()
+    resume_2 = graph.invoke(Command(resume="new_answer_2"), config)
+    assert resume_2["value"] == [
+        "step_a_done",
+        "ask_1:new_answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history: original branch preserved, new branch appended
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:new_answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+def test_subgraph_time_travel_resume_from_second_interrupt(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the second interrupt, then
+    resume with a new answer. The first interrupt's answer should be preserved.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+
+    Key assertion: after resuming from a time-travel to the 2nd interrupt,
+    the final state keeps ask_1's original answer but uses the new ask_2 answer.
+    """
+
+    called: list[str] = []
+
+    def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    graph.invoke({"value": []}, config)
+    graph.invoke(Command(resume="answer_1"), config)
+    sub_config_at_second = graph.get_state(config, subgraphs=True).tasks[0].state.config
+    graph.invoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to second interrupt ---
+    called.clear()
+    replay_result = graph.invoke(None, sub_config_at_second)
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called  # already resolved, not re-executed
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer for ask_2 only ---
+    called.clear()
+    resume_result = graph.invoke(Command(resume="new_answer_2"), config)
+    # ask_1's original answer preserved, ask_2 uses the new answer
+    assert resume_result["value"] == [
+        "step_a_done",
+        "ask_1:answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history: original branch preserved, new branch appended
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+def test_subgraph_time_travel_checkpoint_pattern(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Verify the checkpoint pattern created by time travel to a subgraph
+    interrupt. A fork checkpoint should branch from the replay point and
+    become the latest parent checkpoint.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> ask (interrupt) --> END
+
+    Original run (after completing):
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(executor,)   values=[]          <-- replay point
+      source=loop   next=()            values=[a:first]
+
+    After time travel to interrupt + resume with "second":
+      source=input  next=(__start__,)  values=[]
+      source=loop   next=(executor,)   values=[]          <-- branch point
+      source=loop   next=()            values=[a:first]   (old branch)
+      source=fork   next=(executor,)   values=[]          <-- fork
+      source=loop   next=()            values=[a:second]  (new branch)
+    """
+
+    def ask(state: State) -> State:
+        answer = interrupt("Q?")
+        return {"value": [f"a:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("ask", ask)
+        .add_edge(START, "ask")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=sync_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until interrupt, then complete
+    graph.invoke({"value": []}, config)
+    sub_config = graph.get_state(config, subgraphs=True).tasks[0].state.config
+    graph.invoke(Command(resume="first"), config)
+
+    original = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # Time travel to the interrupt
+    graph.invoke(None, sub_config)
+
+    # Fork is now the latest, branching from the original replay point
+    post_tt = list(graph.get_state_history(config))
+    post_tt_summary = _checkpoint_summary(post_tt)
+    assert [(s["source"], s["next"]) for s in post_tt_summary] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),
+        ("loop", ("executor",)),  # <-- replay point / fork parent
+        ("input", ("__start__",)),
+    ]
+    # Verify the fork's parent is the original replay point
+    replay_point_id = sub_config["configurable"]["checkpoint_map"][""]
+    assert post_tt[0].parent_config["configurable"]["checkpoint_id"] == replay_point_id
+
+    # Resume from the fork — graph completes with new answer
+    result = graph.invoke(Command(resume="second"), config)
+    assert result["value"] == ["a:second"]
+
+    final = _checkpoint_summary(list(graph.get_state_history(config)))
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch
+        ("loop", (), {"value": ["a:second"]}),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
 def test_subgraph_time_travel_after_completion(
    sync_checkpointer: BaseCheckpointSaver,
 ) -> None:
@@ -2283,14 +3066,16 @@ def test_replay_creates_branch_preserving_old_checkpoints(
    # -- Post-replay checkpoint history (newest first) --
    post_replay_history = list(graph.get_state_history(config))
    post_summary = _checkpoint_summary(post_replay_history)
-    assert len(post_summary) == 7  # 5 original + 2 new branch checkpoints
+    # 5 original + 1 fork + 2 new branch checkpoints = 8
+    assert len(post_summary) == 8

    # Verify the full shape after replay
    assert [s["next"] for s in post_summary] == [
-        (),  # new branch tip (C6)
-        ("node_c",),  # new branch (C5)
-        (),  # old branch tip (C4)
-        ("node_c",),  # old (C3)
+        (),  # new branch tip
+        ("node_c",),  # new branch
+        ("node_b",),  # fork from replay point
+        (),  # old branch tip
+        ("node_c",),  # old
        ("node_b",),  # branch point (C2)
        ("node_a",),  # old (C1)
        ("__start__",),  # old (C0)
@@ -2298,6 +3083,7 @@ def test_replay_creates_branch_preserving_old_checkpoints(
    assert [s["values"] for s in post_summary] == [
        {"value": ["a", "b2", "c"]},  # new branch tip
        {"value": ["a", "b2"]},  # new: node_b re-ran with call_count=2
+        {"value": ["a"]},  # fork from replay point
        {"value": ["a", "b1", "c"]},  # old branch tip preserved
        {"value": ["a", "b1"]},  # old
        {"value": ["a"]},  # branch point
@@ -46,6 +46,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
    Returns a list of dicts (newest-first, matching get_state_history order) with:
      - id: short checkpoint id suffix (last 6 chars)
      - parent_id: short parent checkpoint id suffix or None
+      - source: checkpoint metadata source (input, loop, fork, update)
      - next: tuple of next node names
      - values: channel values snapshot
    """
@@ -61,6 +62,7 @@ def _checkpoint_summary(history: list) -> list[dict]:
            {
                "id": cid[-6:],
                "parent_id": pid[-6:] if pid else None,
+                "source": s.metadata.get("source"),
                "next": s.next,
                "values": s.values,
            }
@@ -335,8 +337,14 @@ async def test_replay_interrupt_stable_across_replays(
        r = await graph.ainvoke(None, before_ask.config)
        results.append(r)

-    assert all(r == results[0] for r in results)
-    assert "__interrupt__" in results[0]
+    # Each replay creates a fork with a unique interrupt ID, so we compare
+    # interrupt values and state values rather than full equality.
+    assert all("__interrupt__" in r for r in results)
+    assert all(
+        r["__interrupt__"][0].value == results[0]["__interrupt__"][0].value
+        for r in results
+    )
+    assert all(r["value"] == results[0]["value"] for r in results)


@NEEDS_CONTEXTVARS
@@ -1261,6 +1269,391 @@ async def test_subgraph_time_travel_after_completion_async(
    assert "ask_2:answer_2" in replay_result["value"]


+@NEEDS_CONTEXTVARS
+async def test_replay_from_before_interrupt_then_resume_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Replay from checkpoint before interrupt node, then resume with a new
+    answer and verify the graph completes with the new value.
+
+    Graph: START --> node_a --> ask_human (interrupt) --> node_b --> END
+    """
+
+    called: list[str] = []
+
+    async def node_a(state: State) -> State:
+        called.append("node_a")
+        return {"value": ["a"]}
+
+    async def ask_human(state: State) -> State:
+        called.append("ask_human")
+        answer = interrupt("What is your input?")
+        return {"value": [f"human:{answer}"]}
+
+    async def node_b(state: State) -> State:
+        called.append("node_b")
+        return {"value": ["b"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("node_a", node_a)
+        .add_node("ask_human", ask_human)
+        .add_node("node_b", node_b)
+        .add_edge(START, "node_a")
+        .add_edge("node_a", "ask_human")
+        .add_edge("ask_human", "node_b")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: invoke until interrupt, then resume to complete ---
+    await graph.ainvoke({"value": []}, config)
+    await graph.ainvoke(Command(resume="old_answer"), config)
+
+    original_history = [s async for s in graph.aget_state_history(config)]
+    original = _checkpoint_summary(original_history)
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Replay from checkpoint before ask_human ---
+    before_ask = next(s for s in original_history if s.next == ("ask_human",))
+
+    called.clear()
+    replay_result = await graph.ainvoke(None, before_ask.config)
+    assert replay_result["__interrupt__"][0].value == "What is your input?"
+    assert "ask_human" in called
+    assert "node_a" not in called
+
+    # A fork checkpoint is now the latest
+    post_replay = _checkpoint_summary(
+        [s async for s in graph.aget_state_history(config)]
+    )
+    assert [(s["source"], s["next"]) for s in post_replay] == [
+        ("fork", ("ask_human",)),
+        ("loop", ()),
+        ("loop", ("node_b",)),
+        ("loop", ("ask_human",)),
+        ("loop", ("node_a",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer ---
+    called.clear()
+    final_result = await graph.ainvoke(Command(resume="new_answer"), config)
+    assert final_result["value"] == ["a", "human:new_answer", "b"]
+    assert "ask_human" in called
+    assert "node_b" in called
+
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from fork)
+        ("loop", (), {"value": ["a", "human:new_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:new_answer"]}),
+        ("fork", ("ask_human",), {"value": ["a"]}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["a", "human:old_answer", "b"]}),
+        ("loop", ("node_b",), {"value": ["a", "human:old_answer"]}),
+        ("loop", ("ask_human",), {"value": ["a"]}),
+        ("loop", ("node_a",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_resume_from_first_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the first interrupt, then
+    resume through both interrupts with new answers.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+    """
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    await graph.ainvoke({"value": []}, config)
+    sub_config_at_first = (
+        (await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
+    )
+    await graph.ainvoke(Command(resume="answer_1"), config)
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to first interrupt's subgraph checkpoint ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, sub_config_at_first)
+    assert replay_result["__interrupt__"][0].value == "Question 1?"
+    assert "step_a" not in called
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume both interrupts with new answers ---
+    called.clear()
+    resume_1 = await graph.ainvoke(Command(resume="new_answer_1"), config)
+    assert resume_1["__interrupt__"][0].value == "Question 2?"
+    assert "ask_1" in called
+
+    called.clear()
+    resume_2 = await graph.ainvoke(Command(resume="new_answer_2"), config)
+    assert resume_2["value"] == [
+        "step_a_done",
+        "ask_1:new_answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history: original branch preserved, new branch appended
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:new_answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_resume_from_second_interrupt_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Time travel to a subgraph checkpoint at the second interrupt, then
+    resume with a new answer. The first interrupt's answer should be preserved.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> step_a --> ask_1 (interrupt) --> ask_2 (interrupt) --> END
+    """
+
+    called: list[str] = []
+
+    async def step_a(state: State) -> State:
+        called.append("step_a")
+        return {"value": ["step_a_done"]}
+
+    async def ask_1(state: State) -> State:
+        called.append("ask_1")
+        answer = interrupt("Question 1?")
+        return {"value": [f"ask_1:{answer}"]}
+
+    async def ask_2(state: State) -> State:
+        called.append("ask_2")
+        answer = interrupt("Question 2?")
+        return {"value": [f"ask_2:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("step_a", step_a)
+        .add_node("ask_1", ask_1)
+        .add_node("ask_2", ask_2)
+        .add_edge(START, "step_a")
+        .add_edge("step_a", "ask_1")
+        .add_edge("ask_1", "ask_2")
+        .add_edge("ask_2", "__end__")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # --- Original run: hit both interrupts and resume ---
+    await graph.ainvoke({"value": []}, config)
+    await graph.ainvoke(Command(resume="answer_1"), config)
+    sub_config_at_second = (
+        (await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
+    )
+    await graph.ainvoke(Command(resume="answer_2"), config)
+
+    original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # --- Time travel to second interrupt ---
+    called.clear()
+    replay_result = await graph.ainvoke(None, sub_config_at_second)
+    assert replay_result["__interrupt__"][0].value == "Question 2?"
+    assert "step_a" not in called
+    assert "ask_1" not in called
+
+    # Fork is now the latest parent checkpoint
+    post_tt = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"]) for s in post_tt] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),  # original done
+        ("loop", ("executor",)),
+        ("input", ("__start__",)),
+    ]
+
+    # --- Resume with a new answer for ask_2 only ---
+    called.clear()
+    resume_result = await graph.ainvoke(Command(resume="new_answer_2"), config)
+    assert resume_result["value"] == [
+        "step_a_done",
+        "ask_1:answer_1",
+        "ask_2:new_answer_2",
+    ]
+
+    # Verify final history
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch (from time travel fork)
+        (
+            "loop",
+            (),
+            {"value": ["step_a_done", "ask_1:answer_1", "ask_2:new_answer_2"]},
+        ),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch (preserved)
+        ("loop", (), {"value": ["step_a_done", "ask_1:answer_1", "ask_2:answer_2"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
+@NEEDS_CONTEXTVARS
+async def test_subgraph_time_travel_checkpoint_pattern_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Verify the checkpoint pattern created by time travel to a subgraph
+    interrupt. A fork checkpoint should branch from the replay point.
+
+    Parent:    START --> executor (subgraph, checkpointer=True) --> END
+    Executor:  START --> ask (interrupt) --> END
+    """
+
+    async def ask(state: State) -> State:
+        answer = interrupt("Q?")
+        return {"value": [f"a:{answer}"]}
+
+    executor = (
+        StateGraph(State)
+        .add_node("ask", ask)
+        .add_edge(START, "ask")
+        .compile(checkpointer=True)
+    )
+
+    graph = (
+        StateGraph(State)
+        .add_node("executor", executor)
+        .add_edge(START, "executor")
+        .compile(checkpointer=async_checkpointer)
+    )
+
+    config = {"configurable": {"thread_id": "1"}}
+
+    # Run until interrupt, then complete
+    await graph.ainvoke({"value": []}, config)
+    sub_config = (await graph.aget_state(config, subgraphs=True)).tasks[0].state.config
+    await graph.ainvoke(Command(resume="first"), config)
+
+    original = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in original] == [
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+    # Time travel to the interrupt
+    await graph.ainvoke(None, sub_config)
+
+    # Fork is now the latest, branching from the original replay point
+    post_tt = [s async for s in graph.aget_state_history(config)]
+    post_tt_summary = _checkpoint_summary(post_tt)
+    assert [(s["source"], s["next"]) for s in post_tt_summary] == [
+        ("fork", ("executor",)),  # <-- new fork (latest)
+        ("loop", ()),
+        ("loop", ("executor",)),  # <-- replay point / fork parent
+        ("input", ("__start__",)),
+    ]
+    # Verify the fork's parent is the original replay point
+    replay_point_id = sub_config["configurable"]["checkpoint_map"][""]
+    assert post_tt[0].parent_config["configurable"]["checkpoint_id"] == replay_point_id
+
+    # Resume from the fork
+    result = await graph.ainvoke(Command(resume="second"), config)
+    assert result["value"] == ["a:second"]
+
+    final = _checkpoint_summary([s async for s in graph.aget_state_history(config)])
+    assert [(s["source"], s["next"], s["values"]) for s in final] == [
+        # New branch
+        ("loop", (), {"value": ["a:second"]}),
+        ("fork", ("executor",), {"value": []}),
+        # Original branch
+        ("loop", (), {"value": ["a:first"]}),
+        ("loop", ("executor",), {"value": []}),
+        ("input", ("__start__",), {"value": []}),
+    ]
+
+
@NEEDS_CONTEXTVARS
 async def test_3_levels_deep_time_travel_to_first_interrupt_async(
    async_checkpointer: BaseCheckpointSaver,
@@ -2088,13 +2481,15 @@ async def test_replay_creates_branch_preserving_old_checkpoints(
    # -- Post-replay checkpoint history (newest first) --
    post_replay_history = [s async for s in graph.aget_state_history(config)]
    post_summary = _checkpoint_summary(post_replay_history)
-    assert len(post_summary) == 7  # 5 original + 2 new branch checkpoints
+    # 5 original + 1 fork + 2 new branch checkpoints = 8
+    assert len(post_summary) == 8

    assert [s["next"] for s in post_summary] == [
-        (),  # new branch tip (C6)
-        ("node_c",),  # new branch (C5)
-        (),  # old branch tip (C4)
-        ("node_c",),  # old (C3)
+        (),  # new branch tip
+        ("node_c",),  # new branch
+        ("node_b",),  # fork from replay point
+        (),  # old branch tip
+        ("node_c",),  # old
        ("node_b",),  # branch point (C2)
        ("node_a",),  # old (C1)
        ("__start__",),  # old (C0)
@@ -2102,6 +2497,7 @@ async def test_replay_creates_branch_preserving_old_checkpoints(
    assert [s["values"] for s in post_summary] == [
        {"value": ["a", "b2", "c"]},  # new branch tip
        {"value": ["a", "b2"]},  # new: node_b re-ran with call_count=2
+        {"value": ["a"]},  # fork from replay point
        {"value": ["a", "b1", "c"]},  # old branch tip preserved
        {"value": ["a", "b1"]},  # old
        {"value": ["a"]},  # branch point
@@ -11,13 +11,19 @@ from typing import (
    TypeVar,
    Union,
 )
-from unittest.mock import patch
+from unittest.mock import MagicMock, patch

 import langsmith
 import pytest
+from langchain_core.runnables import RunnableConfig
+from langchain_core.tracers import LangChainTracer
 from typing_extensions import NotRequired, Required, TypedDict

-from langgraph._internal._config import _is_not_empty, ensure_config
+from langgraph._internal._config import (
+    _is_not_empty,
+    ensure_config,
+    get_callback_manager_for_config,
+)
 from langgraph._internal._fields import (
    _is_optional_type,
    get_enhanced_type_hints,
@@ -298,7 +304,7 @@ def test_is_not_empty() -> None:
    assert not _is_not_empty({})


-def test_configurable_metadata():
+def test_configurable_metadata() -> None:
    config = {
        "configurable": {
            "a-key": "foo",
@@ -309,11 +315,161 @@ def test_configurable_metadata():
            "andme": 42,
            "nested": {"foo": "bar"},
            "nooverride": -2,
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
        },
        "metadata": {"nooverride": 18},
    }
-    expected = {"includeme", "andme", "nooverride"}
    merged = ensure_config(config)
    metadata = merged["metadata"]
-    assert metadata.keys() == expected
+    assert set(metadata) == {
+        "nooverride",
+        "assistant_id",
+        "thread_id",
+        "checkpoint_id",
+        "run_id",
+        "graph_id",
+        "checkpoint_ns",
+        "task_id",
+    }
    assert metadata["nooverride"] == 18
+
+
+def test_callback_manager_copies_whitelisted_configurable_ids_to_metadata() -> None:
+    config = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+        },
+        "metadata": {
+            "thread_id": "from-metadata",
+            "nooverride": 18,
+        },
+    }
+    manager = ensure_config(config)
+    callback_manager = get_callback_manager_for_config(manager)
+    assert callback_manager.metadata == {
+        "thread_id": "from-metadata",
+        "nooverride": 18,
+        "checkpoint_id": "ckpt-1",
+        "checkpoint_ns": "ns-1",
+        "task_id": "task-1",
+        "run_id": "run-456",
+        "assistant_id": "asst-789",
+        "graph_id": "graph-0",
+    }
+
+
+def test_callback_manager_copies_configurable_ids_to_tracing_metadata() -> None:
+    tracer = LangChainTracer(client=MagicMock())
+    config: RunnableConfig = {
+        "configurable": {
+            "thread_id": "th-123",
+            "checkpoint_id": "ckpt-1",
+            "checkpoint_ns": "ns-1",
+            "task_id": "task-1",
+            "run_id": "run-456",
+            "assistant_id": "asst-789",
+            "graph_id": "graph-0",
+            "model": "gpt-4o",
+            "user_id": "uid-1",
+            "cron_id": "cron-1",
+            "langgraph_auth_user_id": "user-1",
+            "includeme": "hi",
+            "andme": 42,
+            "__dontinclude": "bar",
+            "some_api_key": "secret",
+            "custom_setting": {"nested": True},
+        },
+        "metadata": {
+            "thread_id": "from-metadata",
+            "user_id": "from-metadata-user",
+            "includeme": "from-metadata",
+        },
+        "callbacks": [tracer],
+    }
+
+    manager = ensure_config(config)
+    callback_manager = get_callback_manager_for_config(manager)
+    handlers = callback_manager.handlers
+    tracers = [handler for handler in handlers if isinstance(handler, LangChainTracer)]
+    assert len(tracers) == 1
+    tracer = tracers[0]
+    assert tracer.tracing_metadata == {
+        "checkpoint_id": "ckpt-1",
+        "checkpoint_ns": "ns-1",
+        "task_id": "task-1",
+        "run_id": "run-456",
+        "assistant_id": "asst-789",
+        "graph_id": "graph-0",
+        "model": "gpt-4o",
+        "cron_id": "cron-1",
+        "andme": 42,
+        "includeme": "hi",
+        "thread_id": "th-123",
+        "user_id": "uid-1",
+    }
+
+
+def test_get_nonlocal_names_cached_by_code_object() -> None:
+    """_get_nonlocal_names caches by code object so repeated calls are cheap."""
+    from langgraph.pregel._utils import _get_nonlocal_names
+
+    x = 1
+
+    def my_func() -> int:
+        return x
+
+    result1 = _get_nonlocal_names(my_func.__code__)
+    result2 = _get_nonlocal_names(my_func.__code__)
+
+    # Same frozenset instance returned (cache hit)
+    assert result1 is result2
+    assert "x" in result1
+
+
+def test_get_function_nonlocals_fast_path_no_freevars() -> None:
+    """Functions with no free variables return [] without AST parsing."""
+    from langgraph.pregel._utils import _get_nonlocal_names, get_function_nonlocals
+
+    cache_info_before = _get_nonlocal_names.cache_info()
+
+    def pure_func(a: int, b: int) -> int:
+        return a + b
+
+    result = get_function_nonlocals(pure_func)
+
+    # Should have returned early without touching the cache
+    assert result == []
+    assert _get_nonlocal_names.cache_info().misses == cache_info_before.misses
+
+
+def test_get_function_nonlocals_returns_closure_values() -> None:
+    """get_function_nonlocals correctly extracts values from closures."""
+    from langgraph.pregel._utils import get_function_nonlocals
+
+    sentinel = object()
+
+    def my_func() -> object:
+        return sentinel
+
+    result = get_function_nonlocals(my_func)
+    assert sentinel in result
@@ -524,61 +524,61 @@ toml = [

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+version = "46.0.7"
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+    { url = "https://files.pythonhosted.org/packages/d4/24/a372aaf5c9b7208e7112038812994107bc65a84cd00e0354a88c2c77a617/pytest-9.0.3-py3-none-any.whl", hash = "sha256:2c5efc453d45394fdd706ade797c0a81091eccd1d6e4bccfcd476e2b8e0ab5d9", size = 375249, upload-time = "2026-04-07T17:16:16.13Z" },
 ]

 [[package]]
@@ -614,6 +614,7 @@ class _InjectedArgs:
    store: str | None
    runtime: str | None
    all_injected_keys: set[str]
+    _optional_state_args: set[str]


 class ToolNode(RunnableCallable):
@@ -807,6 +808,7 @@ class ToolNode(RunnableCallable):
                context=runtime.context,
                store=runtime.store,
                stream_writer=runtime.stream_writer,
+                tools=list(self.tools_by_name.values()),
                execution_info=runtime.execution_info,
                server_info=runtime.server_info,
            )
@@ -841,6 +843,7 @@ class ToolNode(RunnableCallable):
                context=runtime.context,
                store=runtime.store,
                stream_writer=runtime.stream_writer,
+                tools=list(self.tools_by_name.values()),
                execution_info=runtime.execution_info,
                server_info=runtime.server_info,
            )
@@ -1333,7 +1336,7 @@ class ToolNode(RunnableCallable):
            return tool_call

        tool_call_copy: ToolCall = copy(tool_call)
-        injected_args = {}
+        injected_args: dict[str, Any] = {}

        # Inject state
        if injected.state:
@@ -1361,14 +1364,20 @@ class ToolNode(RunnableCallable):
            # Extract state values
            if isinstance(state, dict):
                for tool_arg, state_field in injected.state.items():
-                    injected_args[tool_arg] = (
-                        state[state_field] if state_field else state
-                    )
+                    if not state_field:
+                        injected_args[tool_arg] = state
+                    elif state_field in state:
+                        injected_args[tool_arg] = state[state_field]
+                    elif tool_arg not in injected._optional_state_args:
+                        raise KeyError(state_field)
            else:
                for tool_arg, state_field in injected.state.items():
-                    injected_args[tool_arg] = (
-                        getattr(state, state_field) if state_field else state
-                    )
+                    if not state_field:
+                        injected_args[tool_arg] = state
+                    elif hasattr(state, state_field):
+                        injected_args[tool_arg] = getattr(state, state_field)
+                    elif tool_arg not in injected._optional_state_args:
+                        raise AttributeError(state_field)

        # Inject store
        if injected.store:
@@ -1569,6 +1578,7 @@ class ToolRuntime(_DirectlyInjectedToolArg, Generic[ContextT, StateT]):
    - `context`: Runtime context (shared with `Runtime`)
    - `store`: `BaseStore` instance for persistent storage (shared with `Runtime`)
    - `stream_writer`: `StreamWriter` for streaming output (shared with `Runtime`)
+    - `tools`: List of all available `BaseTool` instances

    No `Annotated` wrapper is needed - just use `runtime: ToolRuntime`
    as a parameter.
@@ -1611,6 +1621,7 @@ class ToolRuntime(_DirectlyInjectedToolArg, Generic[ContextT, StateT]):
    context: ContextT
    config: RunnableConfig
    stream_writer: StreamWriter
+    tools: list[BaseTool]
    tool_call_id: str | None
    store: BaseStore | None
    execution_info: ExecutionInfo | None = None
@@ -1831,9 +1842,17 @@ def _get_injection_from_type(
    return None


+# Cache keyed by tool object identity. Stores (tool, result) to keep a strong
+# reference that prevents GC from reusing the id for a different object.
+_INJECTED_ARGS_CACHE: dict[int, tuple[BaseTool, _InjectedArgs]] = {}
+
+
 def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
    """Extract all injected arguments from tool in a single pass.

+    Results are cached by tool identity so the expensive type-hint and schema
+    inspection only runs once per unique tool object across ToolNode instances.
+
    This function analyzes both the tool's input schema and function signature
    to identify all arguments that should be injected (state, store, runtime).

@@ -1843,6 +1862,11 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
    Returns:
        _InjectedArgs structure containing all detected injections.
    """
+    tool_id = id(tool)
+    entry = _INJECTED_ARGS_CACHE.get(tool_id)
+    if entry is not None and entry[0] is tool:
+        return entry[1]
+
    # Get annotations from both schema and function signature
    full_schema = tool.get_input_schema()
    schema_annotations = get_all_basemodel_annotations(full_schema)
@@ -1859,6 +1883,7 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
    store_arg: str | None = None
    runtime_arg: str | None = None
    all_injected_keys: set[str] = set()
+    _optional_state_args: set[str] = set()

    for name, type_ in all_annotations.items():
        # Track all InjectedToolArg-annotated params (including custom subclasses)
@@ -1873,6 +1898,9 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
        if state_inj := _get_injection_from_type(type_, InjectedState):
            if isinstance(state_inj, InjectedState) and state_inj.field:
                state_args[name] = state_inj.field
+                field_info = full_schema.model_fields.get(name)
+                if field_info and not field_info.is_required():
+                    _optional_state_args.add(name)
            else:
                state_args[name] = None

@@ -1884,9 +1912,12 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
        if _get_injection_from_type(type_, ToolRuntime):
            runtime_arg = name

-    return _InjectedArgs(
+    result = _InjectedArgs(
        state=state_args,
        store=store_arg,
        runtime=runtime_arg,
        all_injected_keys=all_injected_keys,
+        _optional_state_args=_optional_state_args,
    )
+    _INJECTED_ARGS_CACHE[tool_id] = (tool, result)
+    return result
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-prebuilt"
-version = "1.0.9"
+version = "1.0.10"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.10"
@@ -0,0 +1,285 @@
+"""Test InjectedState with NotRequired state fields.
+
+This tests the fix for https://github.com/langchain-ai/langchain/issues/35585
+
+When using InjectedState(<field>) on a tool parameter, and the referenced field is
+declared as NotRequired in the custom state schema, the ToolNode should gracefully
+handle missing fields by injecting None instead of raising KeyError.
+"""
+
+import sys
+from typing import Annotated
+
+import pytest
+from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, ToolMessage
+from langchain_core.tools import tool
+from langgraph.graph.message import add_messages
+from pydantic import BaseModel, Field
+from typing_extensions import NotRequired
+
+from langgraph.prebuilt import InjectedState, ToolNode, create_react_agent
+from langgraph.prebuilt.chat_agent_executor import AgentState
+
+from .model import FakeToolCallingModel
+
+
+class CustomAgentStateWithNotRequired(AgentState):
+    """Custom state with a NotRequired field (TypedDict style)."""
+
+    city: NotRequired[str]
+
+
+class CustomAgentStatePydanticWithDefault(BaseModel):
+    """Custom state with Optional field and default (Pydantic style)."""
+
+    messages: Annotated[list[AnyMessage], add_messages]
+    remaining_steps: int = Field(default=10)
+    city: str | None = Field(default=None)
+
+
+@tool
+def get_weather(city: Annotated[str | None, InjectedState("city")] = None) -> str:
+    """Get weather for a given city."""
+    if city is None:
+        return "No city provided"
+    return f"It's always sunny in {city}!"
+
+
+def _create_mock_runtime(
+    state: dict | None = None,
+    store=None,
+):
+    """Create a mock Runtime for testing ToolNode directly."""
+    from unittest.mock import Mock
+
+    from langgraph.runtime import Runtime
+
+    mock_runtime = Mock(spec=Runtime)
+    mock_runtime.context = {}
+    return mock_runtime
+
+
+def _create_config_with_runtime(store=None, state=None):
+    """Create a RunnableConfig with mocked runtime for direct ToolNode testing."""
+    from langgraph.prebuilt.tool_node import ToolRuntime
+
+    tool_runtime = ToolRuntime(
+        state=state or {},
+        config={},
+        context={},
+        store=store,
+        stream_writer=None,
+        tools=[],
+        tool_call_id="test_id",
+    )
+    return {
+        "configurable": {
+            "__pregel_runtime": _create_mock_runtime(),
+            "__tool_runtime__": tool_runtime,
+        }
+    }
+
+
+@pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
+)
+def test_injected_state_not_required_field_missing_injects_none():
+    """Test that InjectedState with NotRequired field injects None when field is missing.
+
+    This verifies the fix for https://github.com/langchain-ai/langchain/issues/35585
+    """
+    tool_node = ToolNode([get_weather])
+
+    tool_call = {
+        "name": "get_weather",
+        "args": {},
+        "id": "call_1",
+        "type": "tool_call",
+    }
+    ai_msg = AIMessage("Let me check the weather", tool_calls=[tool_call])
+
+    # State WITHOUT the "city" field - should inject None instead of raising KeyError
+    state_without_city: CustomAgentStateWithNotRequired = {
+        "messages": [HumanMessage("What's the weather?"), ai_msg],
+    }
+
+    result = tool_node.invoke(
+        state_without_city,
+        config=_create_config_with_runtime(state=state_without_city),
+    )
+
+    assert len(result["messages"]) == 1
+    tool_msg = result["messages"][0]
+    assert isinstance(tool_msg, ToolMessage)
+    assert "No city provided" in tool_msg.content
+
+
+@pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
+)
+def test_injected_state_not_required_field_present_works():
+    """Test that InjectedState with NotRequired field works when field IS present."""
+    tool_node = ToolNode([get_weather])
+
+    tool_call = {
+        "name": "get_weather",
+        "args": {},
+        "id": "call_1",
+        "type": "tool_call",
+    }
+    ai_msg = AIMessage("Let me check the weather", tool_calls=[tool_call])
+
+    # State WITH the "city" field - this should work
+    state_with_city: CustomAgentStateWithNotRequired = {
+        "messages": [HumanMessage("What's the weather?"), ai_msg],
+        "city": "San Francisco",
+    }
+
+    result = tool_node.invoke(
+        state_with_city,
+        config=_create_config_with_runtime(state=state_with_city),
+    )
+
+    assert len(result["messages"]) == 1
+    tool_msg = result["messages"][0]
+    assert isinstance(tool_msg, ToolMessage)
+    assert "San Francisco" in tool_msg.content
+
+
+@pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
+)
+def test_create_react_agent_injected_state_not_required_field_missing():
+    """Test create_react_agent with InjectedState using NotRequired field that is missing.
+
+    This verifies the fix for https://github.com/langchain-ai/langchain/issues/35585
+    """
+    model = FakeToolCallingModel(
+        tool_calls=[
+            [{"name": "get_weather", "args": {}, "id": "call_1"}],
+            [],  # No more tool calls, agent should stop
+        ]
+    )
+
+    agent = create_react_agent(
+        model,
+        tools=[get_weather],
+        state_schema=CustomAgentStateWithNotRequired,
+    )
+
+    # Invoke WITHOUT the city field - should work, injecting None
+    result = agent.invoke(
+        {"messages": [HumanMessage("What's the weather?")]},
+    )
+
+    # Check that the tool was called successfully with None injected
+    messages = result["messages"]
+    tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
+    assert len(tool_messages) == 1
+    assert "No city provided" in tool_messages[0].content
+
+
+@pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="InjectedState field extraction from Optional[Annotated[...]] not supported on Python <3.11",
+)
+def test_create_react_agent_injected_state_not_required_field_present():
+    """Test create_react_agent with InjectedState using NotRequired field that IS present."""
+    model = FakeToolCallingModel(
+        tool_calls=[
+            [{"name": "get_weather", "args": {}, "id": "call_1"}],
+            [],  # No more tool calls, agent should stop
+        ]
+    )
+
+    agent = create_react_agent(
+        model,
+        tools=[get_weather],
+        state_schema=CustomAgentStateWithNotRequired,
+    )
+
+    # Invoke WITH the city field
+    result = agent.invoke(
+        {
+            "messages": [HumanMessage("What's the weather?")],
+            "city": "San Francisco",
+        },
+    )
+
+    # Check that the tool was called successfully
+    messages = result["messages"]
+    tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
+    assert len(tool_messages) == 1
+    assert "San Francisco" in tool_messages[0].content
+
+
+@tool
+def get_weather_optional(city: Annotated[str | None, InjectedState("city")]) -> str:
+    """Get weather for a given city (accepts None)."""
+    if city is None:
+        return "Please provide a city!"
+    return f"It's always sunny in {city}!"
+
+
+def test_pydantic_state_with_default_field_missing_works():
+    """Test that Pydantic state with Optional field and default=None works when field is missing.
+
+    This is the workaround suggested in the issue comments - using Pydantic BaseModel
+    with `city: Optional[str] = Field(default=None)` instead of TypedDict with NotRequired.
+    """
+    model = FakeToolCallingModel(
+        tool_calls=[
+            [{"name": "get_weather_optional", "args": {}, "id": "call_1"}],
+            [],  # No more tool calls, agent should stop
+        ]
+    )
+
+    agent = create_react_agent(
+        model,
+        tools=[get_weather_optional],
+        state_schema=CustomAgentStatePydanticWithDefault,
+    )
+
+    # Invoke WITHOUT the city field - should work because Pydantic provides default
+    result = agent.invoke(
+        {"messages": [HumanMessage("What's the weather?")]},
+    )
+
+    # Check that the tool was called successfully with None
+    messages = result["messages"]
+    tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
+    assert len(tool_messages) == 1
+    assert "Please provide a city!" in tool_messages[0].content
+
+
+def test_pydantic_state_with_default_field_present_works():
+    """Test that Pydantic state with Optional field works when field IS present."""
+    model = FakeToolCallingModel(
+        tool_calls=[
+            [{"name": "get_weather_optional", "args": {}, "id": "call_1"}],
+            [],  # No more tool calls, agent should stop
+        ]
+    )
+
+    agent = create_react_agent(
+        model,
+        tools=[get_weather_optional],
+        state_schema=CustomAgentStatePydanticWithDefault,
+    )
+
+    # Invoke WITH the city field
+    result = agent.invoke(
+        {
+            "messages": [HumanMessage("What's the weather?")],
+            "city": "San Francisco",
+        },
+    )
+
+    # Check that the tool was called successfully
+    messages = result["messages"]
+    tool_messages = [m for m in messages if isinstance(m, ToolMessage)]
+    assert len(tool_messages) == 1
+    assert "San Francisco" in tool_messages[0].content
@@ -2016,8 +2016,8 @@ async def test_tool_node_inject_runtime_dynamic_tool_via_wrap_tool_call_async()
    assert tool_message.tool_call_id == "call_dynamic_2"


-def test_tool_runtime_forwards_execution_info_and_server_info() -> None:
-    """Test that execution_info and server_info are forwarded from Runtime to ToolRuntime."""
+def test_tool_runtime_forwards_execution_info_server_info_and_tools() -> None:
+    """Test that execution_info, server_info, and tools are forwarded from Runtime to ToolRuntime."""
    from langgraph.runtime import ExecutionInfo, ServerInfo

    exec_info = ExecutionInfo(
@@ -2043,9 +2043,15 @@ def test_tool_runtime_forwards_execution_info_and_server_info() -> None:
        """Tool that captures runtime info."""
        captured["execution_info"] = runtime.execution_info
        captured["server_info"] = runtime.server_info
+        captured["tools"] = runtime.tools
        return "ok"

-    node = ToolNode([info_tool])
+    @dec_tool
+    def other_tool(y: int) -> str:
+        """Another tool available to the runtime."""
+        return str(y)
+
+    node = ToolNode([info_tool, other_tool])
    tool_call = {
        "name": "info_tool",
        "args": {"x": 1},
@@ -2054,17 +2060,21 @@ def test_tool_runtime_forwards_execution_info_and_server_info() -> None:
    }
    msg = AIMessage("", tool_calls=[tool_call])
    config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
-    node.invoke({"messages": [msg]}, config=config)
+    result = node.invoke({"messages": [msg]}, config=config)

+    assert result["messages"][-1].content == "ok"
    assert captured["execution_info"] is exec_info
    assert captured["execution_info"].thread_id == "t-1"
    assert captured["execution_info"].task_id == "tk-1"
    assert captured["server_info"] is server_info
    assert captured["server_info"].assistant_id == "asst-1"
+    assert [tool.name for tool in captured["tools"]] == ["info_tool", "other_tool"]


-async def test_tool_runtime_forwards_execution_info_and_server_info_async() -> None:
-    """Test that execution_info and server_info are forwarded in async path."""
+async def test_tool_runtime_forwards_execution_info_server_info_and_tools_async() -> (
+    None
+):
+    """Test that execution_info, server_info, and tools are forwarded in async path."""
    from langgraph.runtime import ExecutionInfo, ServerInfo

    exec_info = ExecutionInfo(
@@ -2090,9 +2100,15 @@ async def test_tool_runtime_forwards_execution_info_and_server_info_async() -> N
        """Async tool that captures runtime info."""
        captured["execution_info"] = runtime.execution_info
        captured["server_info"] = runtime.server_info
+        captured["tools"] = runtime.tools
        return "ok"

-    node = ToolNode([info_tool_async])
+    @dec_tool
+    async def other_tool_async(y: int) -> str:
+        """Another async tool available to the runtime."""
+        return str(y)
+
+    node = ToolNode([info_tool_async, other_tool_async])
    tool_call = {
        "name": "info_tool_async",
        "args": {"x": 1},
@@ -2101,12 +2117,17 @@ async def test_tool_runtime_forwards_execution_info_and_server_info_async() -> N
    }
    msg = AIMessage("", tool_calls=[tool_call])
    config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
-    await node.ainvoke({"messages": [msg]}, config=config)
+    result = await node.ainvoke({"messages": [msg]}, config=config)

+    assert result["messages"][-1].content == "ok"
    assert captured["execution_info"] is exec_info
    assert captured["execution_info"].thread_id == "t-2"
    assert captured["server_info"] is server_info
    assert captured["server_info"].graph_id == "graph-2"
+    assert [tool.name for tool in captured["tools"]] == [
+        "info_tool_async",
+        "other_tool_async",
+    ]


 # --- InjectedToolArg security tests ---
@@ -249,7 +249,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.22"
+version = "1.3.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -261,14 +261,14 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/92/fe/20190232d9b513242899dbb0c2bb77e31b4d61e343743adbe90ebc2603d2/langchain_core-1.3.0.tar.gz", hash = "sha256:14a39f528bf459aa3aa40d0a7f7f1bae7520d435ef991ae14a4ceb74d8c49046", size = 860755, upload-time = "2026-04-17T14:51:38.298Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/e2/dbfa347aa072a6dc4cd38d6f9ebfc730b4c14c258c47f480f4c5c546f177/langchain_core-1.3.0-py3-none-any.whl", hash = "sha256:baf16ee028475df177b9ab8869a751c79406d64a6f12125b93802991b566cced", size = 515140, upload-time = "2026-04-17T14:51:36.274Z" },
 ]

 [[package]]
 name = "langgraph"
-version = "1.1.6"
+version = "1.1.9"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
@@ -281,7 +281,7 @@ dependencies = [

 [package.metadata]
 requires-dist = [
-    { name = "langchain-core", specifier = ">=0.1" },
+    { name = "langchain-core", specifier = ">=1.3.0,<2" },
    { name = "langgraph-checkpoint", editable = "../checkpoint" },
    { name = "langgraph-prebuilt", editable = "." },
    { name = "langgraph-sdk", editable = "../sdk-py" },
@@ -352,7 +352,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -490,7 +490,7 @@ test = [

 [[package]]
 name = "langgraph-prebuilt"
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 [[package]]
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext

-__version__ = "0.3.12"
+__version__ = "0.3.13"

 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
@@ -12,7 +12,10 @@ from typing import Any, cast
 import httpx
 import orjson

-from langgraph_sdk._shared.utilities import _orjson_default
+from langgraph_sdk._shared.utilities import (
+    _orjson_default,
+    _validate_reconnect_location,
+)
 from langgraph_sdk.errors import _araise_for_status_typed
 from langgraph_sdk.schema import QueryParamTypes, StreamPart
 from langgraph_sdk.sse import SSEDecoder, aiter_lines_raw
@@ -164,6 +167,7 @@ class HttpClient:
            loc = r.headers.get("location")
            if reconnect_limit <= 0 or not loc:
                return await _adecode_json(r)
+            _validate_reconnect_location(self.client.base_url, loc)
            try:
                return await _adecode_json(r)
            except httpx.HTTPError:
@@ -242,6 +246,9 @@ class HttpClient:

                reconnect_location = res.headers.get("location")
                if reconnect_location:
+                    _validate_reconnect_location(
+                        self.client.base_url, reconnect_location
+                    )
                    reconnect_path = reconnect_location

                # parse SSE
@@ -26,6 +26,7 @@ from langgraph_sdk.schema import (
    Durability,
    IfNotExists,
    Input,
+    LangSmithTracing,
    MultitaskStrategy,
    OnCompletionBehavior,
    QueryParamTypes,
@@ -93,6 +94,7 @@ class RunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -124,6 +126,7 @@ class RunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -152,6 +155,7 @@ class RunsClient:
        if_not_exists: IfNotExists | None = None,
        webhook: str | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -180,6 +184,7 @@ class RunsClient:
        if_not_exists: IfNotExists | None = None,
        webhook: str | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -211,6 +216,7 @@ class RunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -250,6 +256,8 @@ class RunsClient:
                Must be either 'reject' (raise error if missing), or 'create' (create new thread).
            after_seconds: The number of seconds to wait before starting the run.
                Use to schedule future runs.
+            langsmith_tracing: LangSmith tracing configuration. Allows routing traces
+                to a specific project or associating with a dataset example.
            headers: Optional custom headers to include with the request.
            params: Optional query parameters to include with the request.
            on_run_created: Callback when a run is created.
@@ -326,6 +334,7 @@ class RunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
            f"/threads/{thread_id}/runs/stream"
@@ -371,6 +380,7 @@ class RunsClient:
        on_completion: OnCompletionBehavior | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -399,6 +409,7 @@ class RunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -427,6 +438,7 @@ class RunsClient:
        if_not_exists: IfNotExists | None = None,
        on_completion: OnCompletionBehavior | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -462,6 +474,8 @@ class RunsClient:
                Must be either 'reject' (raise error if missing), or 'create' (create new thread).
            after_seconds: The number of seconds to wait before starting the run.
                Use to schedule future runs.
+            langsmith_tracing: LangSmith tracing configuration. Allows routing traces
+                to a specific project or associating with a dataset example.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
            durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -572,6 +586,7 @@ class RunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "langsmith_tracer": langsmith_tracing,
        }
        payload = {k: v for k, v in payload.items() if v is not None}

@@ -626,6 +641,7 @@ class RunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        raise_error: bool = True,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
@@ -651,6 +667,7 @@ class RunsClient:
        on_completion: OnCompletionBehavior | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        raise_error: bool = True,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
@@ -678,6 +695,7 @@ class RunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        raise_error: bool = True,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
@@ -712,6 +730,8 @@ class RunsClient:
                Must be either 'reject' (raise error if missing), or 'create' (create new thread).
            after_seconds: The number of seconds to wait before starting the run.
                Use to schedule future runs.
+            langsmith_tracing: LangSmith tracing configuration. Allows routing traces
+                to a specific project or associating with a dataset example.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
            durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -798,6 +818,7 @@ class RunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
            f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
@@ -8,6 +8,7 @@ import re
 from collections.abc import Mapping
 from datetime import tzinfo
 from typing import TYPE_CHECKING, Any, cast
+from urllib.parse import urlparse

 import httpx

@@ -158,6 +159,40 @@ def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
    )


+def _default_port(scheme: str) -> int:
+    return 443 if scheme == "https" else 80
+
+
+def _validate_reconnect_location(base_url: httpx.URL, location: str) -> str:
+    """Validate that a reconnect Location URL is same-origin as the base URL.
+
+    Raises ValueError if the Location header points to a different origin
+    (scheme + host + port), which would leak credentials to an external server.
+    """
+    parsed = urlparse(location)
+    # Relative URLs are safe — they resolve against the base
+    if not parsed.scheme and not parsed.netloc:
+        return location
+    # Compare origin components (normalize default ports to avoid mismatches)
+    base_scheme = str(base_url.scheme)
+    base_origin = (
+        base_scheme,
+        str(base_url.host),
+        base_url.port or _default_port(base_scheme),
+    )
+    loc_origin = (
+        parsed.scheme,
+        parsed.hostname or "",
+        parsed.port or _default_port(parsed.scheme),
+    )
+    if base_origin != loc_origin:
+        raise ValueError(
+            f"Refusing to follow cross-origin reconnect Location: {location!r} "
+            f"(origin {loc_origin}) does not match base URL origin {base_origin}"
+        )
+    return location
+
+
 def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
    return {k: v for k, v in d.items() if v is not None}

@@ -11,7 +11,10 @@ from typing import Any, cast
 import httpx
 import orjson

-from langgraph_sdk._shared.utilities import _orjson_default
+from langgraph_sdk._shared.utilities import (
+    _orjson_default,
+    _validate_reconnect_location,
+)
 from langgraph_sdk.errors import _raise_for_status_typed
 from langgraph_sdk.schema import QueryParamTypes, StreamPart
 from langgraph_sdk.sse import SSEDecoder, iter_lines_raw
@@ -164,6 +167,7 @@ class SyncHttpClient:
            loc = r.headers.get("location")
            if reconnect_limit <= 0 or not loc:
                return _decode_json(r)
+            _validate_reconnect_location(self.client.base_url, loc)
            try:
                return _decode_json(r)
            except httpx.HTTPError:
@@ -244,6 +248,9 @@ class SyncHttpClient:

                reconnect_location = res.headers.get("location")
                if reconnect_location:
+                    _validate_reconnect_location(
+                        self.client.base_url, reconnect_location
+                    )
                    reconnect_path = reconnect_location

                decoder = SSEDecoder()
@@ -26,6 +26,7 @@ from langgraph_sdk.schema import (
    Durability,
    IfNotExists,
    Input,
+    LangSmithTracing,
    MultitaskStrategy,
    OnCompletionBehavior,
    QueryParamTypes,
@@ -92,6 +93,7 @@ class SyncRunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -122,6 +124,7 @@ class SyncRunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -151,6 +154,7 @@ class SyncRunsClient:
        if_not_exists: IfNotExists | None = None,
        webhook: str | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -180,6 +184,7 @@ class SyncRunsClient:
        if_not_exists: IfNotExists | None = None,
        webhook: str | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -211,6 +216,7 @@ class SyncRunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -250,6 +256,8 @@ class SyncRunsClient:
                Must be either 'reject' (raise error if missing), or 'create' (create new thread).
            after_seconds: The number of seconds to wait before starting the run.
                Use to schedule future runs.
+            langsmith_tracing: LangSmith tracing configuration. Allows routing traces
+                to a specific project or associating with a dataset example.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
            durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -321,6 +329,7 @@ class SyncRunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
            f"/threads/{thread_id}/runs/stream"
@@ -366,6 +375,7 @@ class SyncRunsClient:
        on_completion: OnCompletionBehavior | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -394,6 +404,7 @@ class SyncRunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -422,6 +433,7 @@ class SyncRunsClient:
        if_not_exists: IfNotExists | None = None,
        on_completion: OnCompletionBehavior | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
@@ -457,6 +469,8 @@ class SyncRunsClient:
                Must be either 'reject' (raise error if missing), or 'create' (create new thread).
            after_seconds: The number of seconds to wait before starting the run.
                Use to schedule future runs.
+            langsmith_tracing: LangSmith tracing configuration. Allows routing traces
+                to a specific project or associating with a dataset example.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
            durability: The durability to use for the run. Values are "sync", "async", or "exit".
@@ -567,6 +581,7 @@ class SyncRunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "langsmith_tracer": langsmith_tracing,
        }
        payload = {k: v for k, v in payload.items() if v is not None}

@@ -621,6 +636,7 @@ class SyncRunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        raise_error: bool = True,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
@@ -646,6 +662,7 @@ class SyncRunsClient:
        on_completion: OnCompletionBehavior | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        raise_error: bool = True,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
@@ -673,6 +690,7 @@ class SyncRunsClient:
        multitask_strategy: MultitaskStrategy | None = None,
        if_not_exists: IfNotExists | None = None,
        after_seconds: int | None = None,
+        langsmith_tracing: LangSmithTracing | None = None,
        raise_error: bool = True,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
@@ -707,6 +725,8 @@ class SyncRunsClient:
                Must be either 'reject' (raise error if missing), or 'create' (create new thread).
            after_seconds: The number of seconds to wait before starting the run.
                Use to schedule future runs.
+            langsmith_tracing: LangSmith tracing configuration. Allows routing traces
+                to a specific project or associating with a dataset example.
            raise_error: Whether to raise an error if the run fails.
            headers: Optional custom headers to include with the request.
            on_run_created: Optional callback to call when a run is created.
@@ -796,6 +816,7 @@ class SyncRunsClient:
            "after_seconds": after_seconds,
            "raise_error": raise_error,
            "durability": durability,
+            "langsmith_tracer": langsmith_tracing,
        }

        def on_response(res: httpx.Response):
@@ -107,6 +107,16 @@ Durability = Literal["sync", "async", "exit"]
 - `"async"`: Changes are persisted asynchronously while the next step executes.
 - `"exit"`: Changes are persisted only when the graph exits."""

+
+class LangSmithTracing(TypedDict, total=False):
+    """Configuration for LangSmith tracing."""
+
+    project_name: str
+    """The LangSmith project name to trace to."""
+    example_id: str
+    """The LangSmith example/dataset ID to associate with the trace."""
+
+
 All = Literal["*"]
 """Represents a wildcard or 'all' selector."""

@@ -0,0 +1,146 @@
+"""Test that langsmith_tracing parameter is correctly mapped to langsmith_tracer in payloads."""
+
+from __future__ import annotations
+
+from typing import Any
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from langgraph_sdk.schema import LangSmithTracing
+
+
+@pytest.fixture
+def tracing_config() -> LangSmithTracing:
+    return LangSmithTracing(
+        project_name="my-project",
+        example_id="example-123",
+    )
+
+
+class TestLangSmithTracingPayload:
+    """Verify langsmith_tracing param maps to langsmith_tracer in request payload."""
+
+    @pytest.mark.asyncio
+    async def test_async_create_includes_langsmith_tracer(self, tracing_config):
+        """Test that async create sends langsmith_tracer in payload."""
+        from langgraph_sdk._async.runs import RunsClient
+
+        captured: dict[str, Any] = {}
+
+        async def mock_post(_path, *, json=None, **_kwargs):
+            captured["json"] = json
+            return {"run_id": "r1", "status": "pending"}
+
+        http = MagicMock()
+        http.post = AsyncMock(side_effect=mock_post)
+        client = RunsClient(http)
+
+        await client.create(
+            thread_id="t1",
+            assistant_id="a1",
+            langsmith_tracing=tracing_config,
+        )
+
+        assert "langsmith_tracer" in captured["json"]
+        assert captured["json"]["langsmith_tracer"] == {
+            "project_name": "my-project",
+            "example_id": "example-123",
+        }
+
+    def test_sync_create_includes_langsmith_tracer(self, tracing_config):
+        """Test that sync create sends langsmith_tracer in payload."""
+        from langgraph_sdk._sync.runs import SyncRunsClient
+
+        captured: dict[str, Any] = {}
+
+        def mock_post(_path, *, json=None, **_kwargs):
+            captured["json"] = json
+            return {"run_id": "r1", "status": "pending"}
+
+        http = MagicMock()
+        http.post = MagicMock(side_effect=mock_post)
+        client = SyncRunsClient(http)
+
+        client.create(
+            thread_id="t1",
+            assistant_id="a1",
+            langsmith_tracing=tracing_config,
+        )
+
+        assert "langsmith_tracer" in captured["json"]
+        assert captured["json"]["langsmith_tracer"] == {
+            "project_name": "my-project",
+            "example_id": "example-123",
+        }
+
+    def test_sync_wait_includes_langsmith_tracer(self, tracing_config):
+        """Test that sync wait sends langsmith_tracer in payload."""
+        from langgraph_sdk._sync.runs import SyncRunsClient
+
+        captured: dict[str, Any] = {}
+
+        def mock_request_reconnect(_path, _method, *, json=None, **_kwargs):
+            captured["json"] = json
+            return {"messages": []}
+
+        http = MagicMock()
+        http.request_reconnect = MagicMock(side_effect=mock_request_reconnect)
+        client = SyncRunsClient(http)
+
+        client.wait(
+            thread_id="t1",
+            assistant_id="a1",
+            langsmith_tracing=tracing_config,
+        )
+
+        assert "langsmith_tracer" in captured["json"]
+        assert captured["json"]["langsmith_tracer"] == {
+            "project_name": "my-project",
+            "example_id": "example-123",
+        }
+
+    def test_create_without_langsmith_tracing_excludes_key(self):
+        """Test that langsmith_tracer is not in payload when not provided."""
+        from langgraph_sdk._sync.runs import SyncRunsClient
+
+        captured: dict[str, Any] = {}
+
+        def mock_post(_path, *, json=None, **_kwargs):
+            captured["json"] = json
+            return {"run_id": "r1", "status": "pending"}
+
+        http = MagicMock()
+        http.post = MagicMock(side_effect=mock_post)
+        client = SyncRunsClient(http)
+
+        client.create(
+            thread_id="t1",
+            assistant_id="a1",
+        )
+
+        assert "langsmith_tracer" not in captured["json"]
+
+    def test_langsmith_tracing_project_name_only(self):
+        """Test that langsmith_tracing works with only project_name."""
+        from langgraph_sdk._sync.runs import SyncRunsClient
+
+        captured: dict[str, Any] = {}
+
+        def mock_post(_path, *, json=None, **_kwargs):
+            captured["json"] = json
+            return {"run_id": "r1", "status": "pending"}
+
+        http = MagicMock()
+        http.post = MagicMock(side_effect=mock_post)
+        client = SyncRunsClient(http)
+
+        client.create(
+            thread_id="t1",
+            assistant_id="a1",
+            langsmith_tracing={"project_name": "my-project"},
+        )
+
+        assert captured["json"]["langsmith_tracer"] == {
+            "project_name": "my-project",
+        }
@@ -262,7 +262,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.22"
+version = "1.3.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -274,14 +274,14 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/92/fe/20190232d9b513242899dbb0c2bb77e31b4d61e343743adbe90ebc2603d2/langchain_core-1.3.0.tar.gz", hash = "sha256:14a39f528bf459aa3aa40d0a7f7f1bae7520d435ef991ae14a4ceb74d8c49046", size = 860755, upload-time = "2026-04-17T14:51:38.298Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
+    { url = "https://files.pythonhosted.org/packages/f8/e2/dbfa347aa072a6dc4cd38d6f9ebfc730b4c14c258c47f480f4c5c546f177/langchain_core-1.3.0-py3-none-any.whl", hash = "sha256:baf16ee028475df177b9ab8869a751c79406d64a6f12125b93802991b566cced", size = 515140, upload-time = "2026-04-17T14:51:36.274Z" },
 ]

 [[package]]
 name = "langgraph"
-version = "1.1.6"
+version = "1.1.9"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
@@ -294,7 +294,7 @@ dependencies = [

 [package.metadata]
 requires-dist = [
-    { name = "langchain-core", specifier = ">=0.1" },
+    { name = "langchain-core", specifier = ">=1.3.0,<2" },
    { name = "langgraph-checkpoint", editable = "../checkpoint" },
    { name = "langgraph-prebuilt", editable = "../prebuilt" },
    { name = "langgraph-sdk", editable = "." },
@@ -365,7 +365,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.1"
+version = "4.0.2"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -413,7 +413,7 @@ test = [

 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.9"
+version = "1.0.10"
 source = { editable = "../prebuilt" }
 dependencies = [
    { name = "langchain-core" },
@@ -534,7 +534,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.7.20"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -547,9 +547,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/80/c6/cbdc6638207f68a3c61ec0b64fa593f6b11de3170d03c852238c31b54960/langsmith-0.7.20.tar.gz", hash = "sha256:fa983a74f75648ee0e80d3f9751162b6f9a438896d5f9bdb6cba9abda451e234", size = 1134732, upload-time = "2026-03-18T00:03:39.129Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/e8/46/9294d4f49de6a8f08e8b83907713ca545459d87d474c6add15d31a36f5dc/langsmith-0.7.20-py3-none-any.whl", hash = "sha256:0162faf791ea48d69009a12a3da917468556b99cf5d5fcacbb8cda064262e118", size = 359314, upload-time = "2026-03-18T00:03:37.59Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
 ]

 [[package]]
@@ -1000,7 +1000,7 @@ wheels = [

 [[package]]
 name = "pytest"
-version = "9.0.2"
+version = "9.0.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "colorama", marker = "sys_platform == 'win32'" },
@@ -1011,9 +1011,9 @@ dependencies = [
    { name = "pygments" },
    { name = "tomli", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
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 [[package]]
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+# feat(channels): DeltaChannel — O(N) incremental checkpoint storage
+
+## The problem
+
+LangGraph checkpoints store the **full accumulated value** of every channel on every step. For a `messages` channel backed by `add_messages`, that means each checkpoint blob contains the entire conversation history up to that point.
+
+Storage cost grows **O(N²)** in the number of turns:
+
+| Step | Checkpoint blob |
+|------|----------------|
+| 1    | [msg_1] |
+| 2    | [msg_1, msg_2] |
+| N    | [msg_1, ..., msg_N] |
+
+At 100K tokens of conversation data, a single thread accumulates ~250 MB; with large messages or file attachments costs scale even faster.
+
+## The fix: `DeltaChannel`
+
+`DeltaChannel` is an opt-in wrapper around any binary reducer that stores only a **sentinel marker** in `checkpoint_blobs` rather than the full accumulated value. The actual per-step writes stay in `checkpoint_writes` (which every checkpointer already writes unconditionally). At read time the saver walks the ancestor chain, collects all writes for the channel, and replays them through the reducer.
+
+Storage scales **O(N)** — the sentinel blob is effectively zero bytes, and the writes table already exists.
+
+```python
+from langgraph.channels.delta import DeltaChannel
+from langgraph.graph.message import add_messages
+
+class State(TypedDict):
+    # Before: O(N²) storage
+    messages: Annotated[list[AnyMessage], add_messages]
+
+    # After: O(N) storage
+    messages: Annotated[list[AnyMessage], DeltaChannel(add_messages)]
+```
+
+## Benchmarks
+
+Simulated with realistic paragraph-length messages (~100 tokens each, ~400 chars). Each turn = one human + one AI message (~200 tokens total).
+
+### Storage (InMemorySaver)
+
+| turns | ctx | add_msgs | delta | savings |
+|------:|----:|---------:|------:|--------:|
+| 10 | ~2K tok | 108.6 KB | 4.0 KB | 27x |
+| 25 | ~5K tok | 649.0 KB | 10.1 KB | 64x |
+| 50 | ~10K tok | 2.6 MB | 20.2 KB | 126x |
+| 100 | ~20K tok | 10.2 MB | 40.5 KB | 251x |
+| 500 | ~100K tok | 252.6 MB | 202.8 KB | 1245x |
+
+Savings grow with N because `add_messages` is O(N²) while `DeltaChannel` is O(N). The sentinel blob itself is essentially zero bytes.
+
+### Read latency (avg of 5 `get_state` calls = cost per `invoke`)
+
+| turns | ctx | add_msgs | delta |
+|------:|----:|---------:|------:|
+| 10 | ~2K tok | 0.1ms | 0.2ms |
+| 25 | ~5K tok | 0.2ms | 0.5ms |
+| 50 | ~10K tok | 0.4ms | 1.5ms |
+| 100 | ~20K tok | 0.7ms | 4.8ms |
+| 500 | ~100K tok | 5.8ms | 114.9ms |
+
+**This cost is paid once per `invoke`/`stream` call, not per node.** Within a single invocation, all channels are loaded into memory once at the start and shared across every node — there is no per-node reconstruction. The 114.9ms at 500 turns is what you pay each time a user sends a new message, not on each step of the graph.
+
+## How it works
+
+**Write:** `DeltaChannel.checkpoint()` always emits `DeltaChannelSentinel()` — a tiny marker (zero payload bytes) stored in `checkpoint_blobs`. Per-step writes flow into `checkpoint_writes` as they normally do for every channel.
+
+**Read:** The saver detects `DeltaChannelSentinel` values in `channel_values` and replaces them by calling `get_channel_writes` / `aget_channel_writes`, which walks the ancestor checkpoint chain and collects all writes for that channel (oldest→newest). `DeltaChannel.from_checkpoint()` replays those writes through the operator to reconstruct the full value.
+
+**Saver implementations:**
+- `InMemorySaver` — direct dict traversal of `self.storage` and `self.writes`, no I/O
+- `PostgresSaver` (sync + async) — two queries: one cheap ID walk across the thread, one `ANY()` fetch of writes; no recursive CTE
+- All other savers — `BaseCheckpointSaver.get_channel_writes` fallback via `list()`, with a re-entrancy guard to prevent infinite recursion
+
+## Changes
+
+**`libs/checkpoint`**
+- `base/__init__.py` — add `DeltaChannelSentinel` marker dataclass; add `get_channel_writes` / `aget_channel_writes` to `BaseCheckpointSaver` with a `list()`-based fallback and re-entrancy guard
+
+**`libs/checkpoint/memory`**
+- `memory/__init__.py` — `get_channel_writes` via direct dict traversal; `_resolve_delta_channels` helper called in `get_tuple` / `aget_tuple` to replace sentinels with reconstructed write lists
+
+**`libs/langgraph`**
+- `channels/delta.py` — `DeltaChannel` implementation: `checkpoint()` always emits sentinel, `from_checkpoint()` replays writes list
+- `channels/__init__.py` — export `DeltaChannel`
+- `graph/state.py` — recognize `DeltaChannel` as a valid channel annotation
+- `pregel/_checkpoint.py` / `pregel/_loop.py` — wire `after_checkpoint` hook; call it after each checkpointing step so `DeltaChannel` can advance internal state
+
+**`libs/checkpoint-postgres`**
+- `postgres/base.py` — `_get_channel_writes_cur` two-query ancestor walk (sync); `_resolve_delta_channels` called after `_load_blobs`
+- `postgres/aio.py` — `_aget_channel_writes_cur` (async counterpart)
+
+## Open questions
+
+**Should we add a compile-time capability check?**
+
+Currently misconfiguring `DeltaChannel` with an unsupported saver only errors at runtime on first reload. A protocol-based check at `compile()` time would give an early warning without requiring a manual boolean flag.
+
+**`snapshot_every` for bounded reconstruction cost?**
+
+Both per-invoke read latency and total write wall time grow O(N) per invoke / O(N²) total as the conversation lengthens. A `snapshot_every` parameter — periodically store a full snapshot in `checkpoint_blobs` to cap chain depth — would bound reconstruction cost and is a natural follow-up once the core design is stable.
+
+## Backwards compatibility
+
+| Scenario | Behaviour |
+|----------|-----------|
+| Existing graph using `add_messages` | Unaffected — no code or schema changes |
+| `DeltaChannel` loading an old full-list checkpoint blob | Handled via backwards-compat path in `from_checkpoint` |
+| `DeltaChannel` with `InMemorySaver` or `PostgresSaver` | Fully supported |
+| Time-travel to a past checkpoint | Ancestor walk uses the version at that checkpoint — correct by construction |
+| `Overwrite` value | Resets the effective chain; reconstruction starts from that step |
+
+## Test plan
+
+- [x] `DeltaChannel` unit tests: `update` → `checkpoint` lifecycle, `from_checkpoint` chain replay, backwards-compat with plain list, `Overwrite` resets chain
+- [x] `InMemorySaver` `get_channel_writes`: assembles write list from dict storage
+- [x] Serde round-trip for `DeltaChannelSentinel`
+- [x] End-to-end graph tests: multi-turn conversations accumulate correctly, time-travel reconstructs correct partial history
+- [x] `PostgresSaver` two-query chain reconstruction (sync + async)
+- [x] `BaseCheckpointSaver` fallback path via `list()` with re-entrancy guard
+- [x] Storage benchmark: `DeltaChannel` uses strictly less storage than `add_messages` at all measured turn counts
+
+---
+
+## Changes from previous base branch
+
+The previous version stored `DeltaValue` objects (containing the per-step writes) directly in `checkpoint_blobs` and used a `DeltaChainValue` to represent the assembled chain. Reconstruction required a dedicated `get_delta_chain` / `aget_delta_chain` protocol and a recursive CTE in Postgres.
+
+This version pivots to a simpler design:
+- **Sentinel in blobs, writes in `checkpoint_writes`** — `checkpoint_blobs` stores only a zero-byte `DeltaChannelSentinel` marker. The actual per-step data already lives in `checkpoint_writes` (written unconditionally by every checkpointer), so blob storage is essentially free. This is why storage savings jump to 1245x at 500 turns.
+- **No custom serde type for the delta payload** — `DeltaValue` / `DeltaChainValue` and the `"delta"` serde type tag are gone. Writes are deserialized with the same serde path they were originally written with.
+- **Postgres: two queries instead of a recursive CTE** — fetch all `(checkpoint_id, parent_checkpoint_id)` pairs for the thread, walk the ancestor chain in Python, then fetch writes with a plain `ANY()` filter.
+- **Universal fallback on `BaseCheckpointSaver`** — the base class now provides `get_channel_writes` via `list()`, so any third-party saver works without modification.
+- **`snapshot_every` removed** — deferred as a follow-up; the simpler design is easier to reason about and delivers larger storage savings.