release(cli): lockfile

2026-08-26 17:42:24 +02:00 · 2026-04-07 17:18:49 -07:00
53 changed files with 870 additions and 4467 deletions
@@ -339,6 +339,37 @@ 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,
@@ -349,6 +380,7 @@ 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 = "0.0.2"
+version = "0.0.1"
 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 = "1.2.28"
+version = "1.2.22"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -243,9 +243,9 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
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+    { 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" },
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 [[package]]
@@ -263,7 +263,7 @@ wheels = [

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

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.7.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -319,9 +319,9 @@ dependencies = [
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+version = "9.0.2"
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 [[package]]
@@ -6,11 +6,6 @@ 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]
@@ -240,7 +240,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.2.22"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
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 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.2"
+version = "4.0.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -382,7 +382,7 @@ test = [

 [[package]]
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+version = "0.6.4"
 source = { registry = "https://pypi.org/simple" }
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@@ -392,12 +392,11 @@ dependencies = [
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@@ -2,11 +2,6 @@

 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 = "0.25.0"
@@ -26,9 +26,6 @@ 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.
@@ -1,10 +1,3 @@
-"""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
@@ -46,23 +46,6 @@ 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)
-

 class JsonPlusSerializer(SerializerProtocol):
    """Serializer that uses ormsgpack, with optional fallbacks.
@@ -73,10 +56,6 @@ 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__(
@@ -91,11 +70,8 @@ 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 = (
@@ -551,13 +527,10 @@ def _create_msgpack_ext_hook(
                    "name": name,
                }
            )
-            _warn_once(
-                _warned_unregistered_types,
-                key,
+            logger.warning(
                "Deserializing unregistered type %s.%s from checkpoint. "
                "This will be blocked in a future version. "
-                "Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
-                "to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
+                "Add to allowed_msgpack_modules to silence: [(%r, %r)]",
                module,
                name,
                module,
@@ -575,9 +548,7 @@ def _create_msgpack_ext_hook(
                "name": name,
            }
        )
-        _warn_once(
-            _warned_blocked_types,
-            key,
+        logger.warning(
            "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 = "4.0.2"
+version = "4.0.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"
@@ -29,8 +29,6 @@ from langgraph.checkpoint.serde.jsonplus import (
    EXT_METHOD_SINGLE_ARG,
    JsonPlusSerializer,
    _msgpack_enc,
-    _warned_blocked_types,
-    _warned_unregistered_types,
 )


@@ -104,13 +102,6 @@ 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()
@@ -35,8 +35,6 @@ 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

@@ -582,14 +580,6 @@ 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
@@ -605,12 +595,6 @@ 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


@@ -655,6 +639,7 @@ 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"))
@@ -672,6 +657,7 @@ 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")]
    )
@@ -12,25 +12,13 @@ from langgraph.checkpoint.base import (
    empty_checkpoint,
 )
 from langgraph.checkpoint.memory import InMemorySaver
-from langgraph.checkpoint.serde.jsonplus import (
-    JsonPlusSerializer,
-    _warned_blocked_types,
-    _warned_unregistered_types,
-)
+from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer


 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:
@@ -267,7 +267,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.2.23"
 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/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
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 wheels = [
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 ]

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

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.6.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -379,12 +379,11 @@ dependencies = [
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    { name = "requests-toolbelt" },
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    { name = "zstandard" },
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 [[package]]
@@ -1118,7 +1117,7 @@ wheels = [

 [[package]]
 name = "pytest"
-version = "9.0.3"
+version = "9.0.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -1129,9 +1128,9 @@ dependencies = [
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 ]
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-]
-
 [[package]]
 name = "zstandard"
 version = "0.25.0"
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.1.14"
+  "langchain-openai==1.0.1"
 ]
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.1.14",
+  "langchain-openai==1.0.0a2",
  "langchain-anthropic==1.0.0a5",
  "langgraph==1.1.5"
 ]
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.1.14",
+  "langchain-openai==1.0.0a2",
  "langgraph==1.1.2",
  "langchain_community>=0.3.0",
 ]
@@ -1086,6 +1086,11 @@
  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"
@@ -1777,6 +1782,13 @@ 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"
@@ -3676,12 +3688,16 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

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

 leven@^3.1.0:
  version "3.1.0"
@@ -3991,7 +4007,7 @@ 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==
@@ -4287,7 +4303,7 @@ 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@^7.7.2, semver@^7.7.3:
+semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, 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==
@@ -4395,6 +4411,11 @@ 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"
@@ -4849,7 +4870,7 @@ 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==
@@ -217,6 +217,11 @@
  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@^8.58.0":
  version "8.58.0"
  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
@@ -338,6 +343,13 @@ 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"
@@ -496,11 +508,38 @@ 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"
@@ -1020,6 +1059,11 @@ 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"
@@ -1328,12 +1372,16 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

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

 levn@^0.4.1:
  version "0.4.1"
@@ -1480,7 +1528,7 @@ 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==
@@ -1642,6 +1690,11 @@ 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"
@@ -1730,6 +1783,11 @@ 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"
@@ -1780,6 +1838,13 @@ 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"
@@ -1901,7 +1966,7 @@ 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__ = "0.4.23"
+__version__ = "0.4.20"
@@ -26,15 +26,8 @@ class LogData(TypedDict):
    params: dict[str, Any]


-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
+def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
+    params = {}

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

        background_thread = threading.Thread(target=log_data, args=(data,))
@@ -817,48 +817,6 @@ 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
 # ---------------------------------------------------------------------------
@@ -182,11 +182,7 @@ 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}.\n\n"
-                "Pin to a minor version, e.g.:\n"
-                '  "api_version": "0.8"'
-            ) from None
+            raise click.UsageError(f"Invalid version format: {api_version}") from None

    config = {
        "node_version": node_version,
@@ -224,51 +220,45 @@ 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}.\n\n"
-                    f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
-                    f'  "node_version": "{MIN_NODE_VERSION}"'
+                    f"Minimum required version is {MIN_NODE_VERSION}."
                )
        except ValueError as e:
            raise click.UsageError(str(e)) from None

    if pip_installer := config.get("pip_installer"):
+        if pip_installer == "uv_lock":
+            raise click.UsageError(
+                "pip_installer 'uv_lock' has been replaced. Use "
+                '`source: {"kind": "uv", "root": "..", '
+                '"package": "my-agent"}`.'
+            )
        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": ".."}'
+                "Must be 'auto', 'pip', or 'uv'."
            )

    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": ".."}'
-        )
+        raise click.UsageError("`source` must be an object.")
    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": ".."}'
-        )
+        raise click.UsageError("Invalid source.kind. Supported values: 'uv'.")

    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 — patch version cannot be specified.\n\n"
-                f'  "python_version": "{fix}"'
+                "Use 'major.minor' format (e.g., '3.11'). "
+                "Patch version cannot be specified."
            )
        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}.\n\n"
-                f'  "python_version": "{MIN_PYTHON_VERSION}"'
+                f"Minimum required version is {MIN_PYTHON_VERSION}."
            )
        if "bullseye" in pyversion:
            raise click.UsageError(
@@ -279,16 +269,12 @@ def validate_config(config: Config) -> Config:
        if source_kind != "uv" and not config["dependencies"]:
            raise click.UsageError(
                "No dependencies found in config. "
-                "Consider using uv-based source management:\n\n"
-                '  "source": {"kind": "uv", "root": ".."}'
+                "Add at least one dependency to 'dependencies' list."
            )

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

    # Validate image_distro config
@@ -301,8 +287,7 @@ def validate_config(config: Config) -> Config:
        if image_distro not in Distros.__args__:
            raise click.UsageError(
                f"Invalid image_distro: '{image_distro}'. "
-                f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
-                '  "image_distro": "wolfi"  (recommended)'
+                "Must be one of 'debian', 'wolfi', or 'bookworm'."
            )

    if source_kind == "uv":
@@ -384,51 +369,6 @@ 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:
@@ -23,7 +23,7 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]

@@ -404,7 +404,7 @@ def test_validate_config_pip_installer():
            }
        )
    assert "Invalid pip_installer: 'conda'" in str(exc_info.value)
-    assert "uv-based source management" in str(exc_info.value)
+    assert "Must be 'auto', 'pip', or 'uv'" in str(exc_info.value)

    with pytest.raises(click.UsageError) as exc_info:
        validate_config(
@@ -417,7 +417,7 @@ def test_validate_config_pip_installer():
        )
    assert "Invalid pip_installer: 'invalid'" in str(exc_info.value)

-    with pytest.raises(click.UsageError, match="Invalid pip_installer: 'uv_lock'"):
+    with pytest.raises(click.UsageError, match="has been replaced"):
        validate_config(
            {
                "python_version": "3.11",
@@ -215,7 +215,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.2.27"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -227,9 +227,9 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-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" }
+sdist = { url = "https://files.pythonhosted.org/packages/13/5c/56d19a252bbb26247b7a7cd20821d48804d7ca03212fec709cd8db7c2516/langchain_core-1.2.27.tar.gz", hash = "sha256:c18372e4c4c1454d49bf23a2e484431e71bd39b64173a0f621f0fc283d7183a4", size = 844935, upload-time = "2026-04-07T14:56:32.364Z" }
 wheels = [
-    { 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" },
+    { url = "https://files.pythonhosted.org/packages/c1/c3/6e0865bc130c448270eb9511b47863a3f9145cdb519b19f6e4758fa63d6f/langchain_core-1.2.27-py3-none-any.whl", hash = "sha256:9ecd6b0393b969fe88f6b9b309367134080ab095946d79e6937dd3911aa42bd5", size = 508315, upload-time = "2026-04-07T14:56:30.93Z" },
 ]

 [[package]]
@@ -290,7 +290,7 @@ wheels = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.7.26"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -303,9 +303,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-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" }
+sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
 wheels = [
-    { 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" },
+    { url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
 ]

 [[package]]
@@ -191,7 +191,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.2.27"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -203,9 +203,9 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-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" }
+sdist = { url = "https://files.pythonhosted.org/packages/13/5c/56d19a252bbb26247b7a7cd20821d48804d7ca03212fec709cd8db7c2516/langchain_core-1.2.27.tar.gz", hash = "sha256:c18372e4c4c1454d49bf23a2e484431e71bd39b64173a0f621f0fc283d7183a4", size = 844935, upload-time = "2026-04-07T14:56:32.364Z" }
 wheels = [
-    { 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" },
+    { url = "https://files.pythonhosted.org/packages/c1/c3/6e0865bc130c448270eb9511b47863a3f9145cdb519b19f6e4758fa63d6f/langchain_core-1.2.27-py3-none-any.whl", hash = "sha256:9ecd6b0393b969fe88f6b9b309367134080ab095946d79e6937dd3911aa42bd5", size = 508315, upload-time = "2026-04-07T14:56:30.93Z" },
 ]

 [[package]]
@@ -266,7 +266,7 @@ wheels = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.7.26"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -279,9 +279,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-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" }
+sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
 wheels = [
-    { 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" },
+    { url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
 ]

 [[package]]
@@ -1,7 +1,7 @@
 from __future__ import annotations

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

@@ -217,16 +217,14 @@ def get_callback_manager_for_config(
            callbacks.add_tags(all_tags)
        if metadata := config.get("metadata"):
            callbacks.add_metadata(metadata)
-        manager = callbacks
+        return callbacks
    else:
        # otherwise create a new manager
-        manager = CallbackManager.configure(
+        return 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(
@@ -257,16 +255,14 @@ def get_async_callback_manager_for_config(
            callbacks.add_tags(all_tags)
        if metadata := config.get("metadata"):
            callbacks.add_metadata(metadata)
-        manager = callbacks
+        return callbacks
    else:
        # otherwise create a new manager
-        manager = AsyncCallbackManager.configure(
+        return 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:
@@ -312,54 +308,22 @@ 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
-
-    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
+    _empty_metadata = empty["metadata"]
+    for key, value in empty[CONF].items():
+        if _exclude_as_metadata(key, value, _empty_metadata):
+            continue
+        _empty_metadata[key] = value
    return empty


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


-def _exclude_as_metadata(key: str, value: Any) -> bool:
+def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, 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",
-    )
-)
@@ -1,394 +0,0 @@
-"""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,
-    )
@@ -184,72 +184,39 @@ def add_messages(
        ```

    """
+    remove_all_idx = None
    # coerce to list
    if not isinstance(left, list):
        left = [left]  # type: ignore[assignment]
    if not isinstance(right, list):
        right = [right]  # type: ignore[assignment]
-
-    # Optimization 1: skip conversion + ID assignment on left when it already
-    # contains fully-resolved BaseMessage objects (the common case after the
-    # first call, since add_messages always returns list[BaseMessage] with IDs).
-    left_msgs: list[BaseMessage]
-    left_seq = cast(list, left)
-    if (
-        left_seq
-        and isinstance(left_seq[0], BaseMessage)
-        and left_seq[0].id is not None
-        and not isinstance(left_seq[0], BaseMessageChunk)
-    ):
-        left_msgs = left_seq
-    else:
-        left_msgs = [
-            message_chunk_to_message(cast(BaseMessageChunk, m))
-            for m in convert_to_messages(left)
-        ]
-        for m in left_msgs:
-            if m.id is None:
-                m.id = str(uuid.uuid4())
-
-    # always normalise right — it's fresh external input
-    right_msgs: list[BaseMessage] = [
+    # coerce to message
+    left = [
+        message_chunk_to_message(cast(BaseMessageChunk, m))
+        for m in convert_to_messages(left)
+    ]
+    right = [
        message_chunk_to_message(cast(BaseMessageChunk, m))
        for m in convert_to_messages(right)
    ]
-    remove_all_idx = None
-    has_remove = False
-    for idx, m in enumerate(right_msgs):
+    # assign missing ids
+    for m in left:
        if m.id is None:
            m.id = str(uuid.uuid4())
-        if isinstance(m, RemoveMessage):
-            has_remove = True
-            if m.id == REMOVE_ALL_MESSAGES:
-                remove_all_idx = idx
+    for idx, m in enumerate(right):
+        if m.id is None:
+            m.id = str(uuid.uuid4())
+        if isinstance(m, RemoveMessage) and m.id == REMOVE_ALL_MESSAGES:
+            remove_all_idx = idx

    if remove_all_idx is not None:
-        return right_msgs[remove_all_idx + 1 :]
+        return right[remove_all_idx + 1 :]

-    # Optimization 2: pure-append fast path — no removals, no ID overlaps with
-    # left, and no duplicate IDs within right (all imply a dedup/update is needed).
-    if not has_remove:
-        left_ids = {m.id for m in left_msgs}
-        right_id_set = {m.id for m in right_msgs}
-        if len(right_id_set) == len(right_msgs) and not (right_id_set & left_ids):
-            result = left_msgs + right_msgs
-            if format == "langchain-openai":
-                return _format_messages(result)
-            elif format:
-                msg = (
-                    f"Unrecognized {format=}. Expected one of 'langchain-openai', None."
-                )
-                raise ValueError(msg)
-            return result
-
-    # slow path: updates or removals present — full indexed merge
-    merged = left_msgs.copy()
+    # merge
+    merged = left.copy()
    merged_by_id = {m.id: i for i, m in enumerate(merged)}
    ids_to_remove = set()
-    for m in right_msgs:
+    for m in right:
        if (existing_idx := merged_by_id.get(m.id)) is not None:
            if isinstance(m, RemoveMessage):
                ids_to_remove.add(m.id)
@@ -261,6 +228,7 @@ def add_messages(
                raise ValueError(
                    f"Attempting to delete a message with an ID that doesn't exist ('{m.id}')"
                )
+
            merged_by_id[m.id] = len(merged)
            merged.append(m)
    merged = [m for m in merged if m.id not in ids_to_remove]
@@ -270,6 +238,8 @@ def add_messages(
    elif format:
        msg = f"Unrecognized {format=}. Expected one of 'langchain-openai', None."
        raise ValueError(msg)
+    else:
+        pass

    return merged

@@ -62,11 +62,6 @@ 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
@@ -122,7 +117,6 @@ from langgraph.types import (
    CachePolicy,
    Command,
    Durability,
-    Interrupt,
    PregelExecutableTask,
    RetryPolicy,
    Send,
@@ -209,8 +203,6 @@ 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

@@ -236,7 +228,6 @@ 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
@@ -261,8 +252,6 @@ 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)
@@ -314,40 +303,6 @@ 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:
@@ -692,7 +647,7 @@ 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.
-        is_time_traveling = self.is_replaying and (
+        if 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.
@@ -710,8 +665,7 @@ 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
            ]
@@ -766,26 +720,6 @@ 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
@@ -828,28 +762,14 @@ 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/fork), use the fork's parent
+            # parent. For forks (source=update), 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 is_time_traveling:
+            if self.is_replaying:
                replay_checkpoint_id = self.checkpoint["id"]
                if (
-                    self.checkpoint_metadata.get("source")
-                    in (
-                        "update",
-                        "fork",
-                    )
+                    self.checkpoint_metadata.get("source") == "update"
                    and self.prev_checkpoint_config
                ):
                    replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
@@ -865,8 +785,6 @@ 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:
@@ -967,10 +885,8 @@ class PregelLoop:
            self._put_checkpoint(self.checkpoint_metadata)
            self._put_pending_writes()
        # suppress interrupt
-        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)
+        suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
+        if suppress:
            # emit one last "values" event, with pending writes applied
            if (
                hasattr(self, "tasks")
@@ -997,11 +913,12 @@ class PregelLoop:
                        self.channels,
                    )
            # emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
-            if not interrupt.args or not interrupt.args[0]:
-                interrupt_payload = interrupt.args[0] if interrupt.args else ()
+            if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
                self._emit(
                    "updates",
-                    lambda: iter([{INTERRUPT: interrupt_payload}]),
+                    lambda: iter(
+                        [{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
+                    ),
                )
            # save final output
            self.output = read_channels(self.channels, self.output_keys)
@@ -1123,7 +1040,6 @@ 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,
@@ -1145,7 +1061,6 @@ 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:
@@ -1221,7 +1136,6 @@ 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):
@@ -1322,7 +1236,6 @@ 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,
@@ -1344,7 +1257,6 @@ 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:
@@ -1423,7 +1335,6 @@ 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):
@@ -16,7 +16,7 @@ from collections.abc import (
    Mapping,
    Sequence,
 )
-from dataclasses import is_dataclass, replace
+from dataclasses import is_dataclass
 from functools import partial
 from inspect import isclass
 from typing import (
@@ -96,12 +96,6 @@ 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
@@ -2591,10 +2585,6 @@ 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
            (
@@ -2679,17 +2669,6 @@ 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),
@@ -2710,9 +2689,7 @@ 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(
@@ -2774,11 +2751,9 @@ 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,
@@ -2953,10 +2928,6 @@ 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(
@@ -3071,28 +3042,6 @@ 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),
@@ -3113,9 +3062,7 @@ 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(
@@ -3197,7 +3144,6 @@ 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)
@@ -3206,8 +3152,6 @@ 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,
@@ -3715,14 +3659,15 @@ 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 configurable.
+    """Build ServerInfo from config metadata and configurable.

-    The server puts assistant_id/graph_id in config configurable and the
+    The server puts assistant_id/graph_id in config metadata and the
    authenticated user dict in configurable["langgraph_auth_user"].
    """
+    metadata = config.get("metadata") or {}
    configurable = config.get(CONF) or {}
-    assistant_id = configurable.get("assistant_id")
-    graph_id = configurable.get("graph_id")
+    assistant_id = metadata.get("assistant_id")
+    graph_id = metadata.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 = "1.1.9"
+version = "1.1.6"
 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>=1.3.0,<2",
+    "langchain-core>=0.1",
    "langgraph-checkpoint>=2.1.0,<5.0.0",
    "langgraph-sdk>=0.3.0,<0.4.0",
    "langgraph-prebuilt>=1.0.9,<1.1.0",
@@ -1,290 +0,0 @@
-"""Benchmark: add_messages fast-path optimizations.
-
-Both implementations are inlined so the benchmark is self-contained and
-immune to import-cache or installed-vs-local confusion.
-
-Run directly:
-    python tests/test_add_messages_benchmark.py
-
-Or via pytest (correctness only, numbers printed to stdout):
-    pytest tests/test_add_messages_benchmark.py -s -v
-"""
-
-import statistics
-import time
-import tracemalloc
-import uuid
-from typing import cast
-
-from langchain_core.messages import (
-    AIMessage,
-    BaseMessage,
-    BaseMessageChunk,
-    HumanMessage,
-    RemoveMessage,
-    convert_to_messages,
-    message_chunk_to_message,
-)
-
-from langgraph.graph.message import REMOVE_ALL_MESSAGES
-
-# ── original implementation (pre-optimisation) ────────────────────────────────
-
-
-def _add_messages_original(left, right):
-    remove_all_idx = None
-    if not isinstance(left, list):
-        left = [left]
-    if not isinstance(right, list):
-        right = [right]
-    left = [
-        message_chunk_to_message(cast(BaseMessageChunk, m))
-        for m in convert_to_messages(left)
-    ]
-    right = [
-        message_chunk_to_message(cast(BaseMessageChunk, m))
-        for m in convert_to_messages(right)
-    ]
-    for m in left:
-        if m.id is None:
-            m.id = str(uuid.uuid4())
-    for idx, m in enumerate(right):
-        if m.id is None:
-            m.id = str(uuid.uuid4())
-        if isinstance(m, RemoveMessage) and m.id == REMOVE_ALL_MESSAGES:
-            remove_all_idx = idx
-    if remove_all_idx is not None:
-        return right[remove_all_idx + 1 :]
-    merged = left.copy()
-    merged_by_id = {m.id: i for i, m in enumerate(merged)}
-    ids_to_remove = set()
-    for m in right:
-        if (existing_idx := merged_by_id.get(m.id)) is not None:
-            if isinstance(m, RemoveMessage):
-                ids_to_remove.add(m.id)
-            else:
-                ids_to_remove.discard(m.id)
-                merged[existing_idx] = m
-        else:
-            if isinstance(m, RemoveMessage):
-                raise ValueError(
-                    f"Attempting to delete a message with an ID that doesn't exist ('{m.id}')"
-                )
-            merged_by_id[m.id] = len(merged)
-            merged.append(m)
-    return [m for m in merged if m.id not in ids_to_remove]
-
-
-# ── optimised implementation ──────────────────────────────────────────────────
-
-
-def _add_messages_optimized(left, right):
-    if not isinstance(left, list):
-        left = [left]
-    if not isinstance(right, list):
-        right = [right]
-
-    # Optimisation 1: skip conversion + ID assignment on left when it already
-    # contains fully-resolved BaseMessage objects (the common case after the
-    # first call, since add_messages always returns list[BaseMessage] with IDs).
-    if (
-        left
-        and isinstance(left[0], BaseMessage)
-        and not isinstance(left[0], BaseMessageChunk)
-    ):
-        left = cast(list[BaseMessage], left)
-    else:
-        left = [
-            message_chunk_to_message(cast(BaseMessageChunk, m))
-            for m in convert_to_messages(left)
-        ]
-        for m in left:
-            if m.id is None:
-                m.id = str(uuid.uuid4())
-
-    # always normalise right — it's fresh external input
-    right = [
-        message_chunk_to_message(cast(BaseMessageChunk, m))
-        for m in convert_to_messages(right)
-    ]
-    remove_all_idx = None
-    has_remove = False
-    for idx, m in enumerate(right):
-        if m.id is None:
-            m.id = str(uuid.uuid4())
-        if isinstance(m, RemoveMessage):
-            has_remove = True
-            if m.id == REMOVE_ALL_MESSAGES:
-                remove_all_idx = idx
-
-    if remove_all_idx is not None:
-        return right[remove_all_idx + 1 :]
-
-    # Optimisation 2: pure-append fast path — no removals and no ID overlaps.
-    # Builds one set over left instead of copying left + building a full dict.
-    if not has_remove:
-        left_ids = {m.id for m in left}
-        if not any(m.id in left_ids for m in right):
-            return left + right
-
-    # slow path: updates or removals present — full indexed merge
-    merged = left.copy()
-    merged_by_id = {m.id: i for i, m in enumerate(merged)}
-    ids_to_remove = set()
-    for m in right:
-        if (existing_idx := merged_by_id.get(m.id)) is not None:
-            if isinstance(m, RemoveMessage):
-                ids_to_remove.add(m.id)
-            else:
-                ids_to_remove.discard(m.id)
-                merged[existing_idx] = m
-        else:
-            if isinstance(m, RemoveMessage):
-                raise ValueError(
-                    f"Attempting to delete a message with an ID that doesn't exist ('{m.id}')"
-                )
-            merged_by_id[m.id] = len(merged)
-            merged.append(m)
-    return [m for m in merged if m.id not in ids_to_remove]
-
-
-# ── helpers ───────────────────────────────────────────────────────────────────
-
-
-def _make_messages(n: int) -> list[BaseMessage]:
-    return [
-        (HumanMessage if i % 2 == 0 else AIMessage)(
-            content=f"message {i}", id=str(uuid.uuid4())
-        )
-        for i in range(n)
-    ]
-
-
-def _bench_time(fn, left, right, *, iters: int = 2_000) -> float:
-    """Return median latency in microseconds."""
-    for _ in range(100):
-        fn(list(left), list(right))
-    times = []
-    for _ in range(iters):
-        left_copy, right_copy = list(left), list(right)
-        t0 = time.perf_counter()
-        fn(left_copy, right_copy)
-        times.append(time.perf_counter() - t0)
-    return statistics.median(times) * 1e6
-
-
-def _bench_memory(fn, left, right) -> int:
-    """Return peak memory allocated during a single call (bytes)."""
-    # one warm-up so any lazy init is excluded
-    fn(list(left), list(right))
-    left_copy, right_copy = list(left), list(right)
-    tracemalloc.start()
-    tracemalloc.clear_traces()
-    fn(left_copy, right_copy)
-    _, peak = tracemalloc.get_traced_memory()
-    tracemalloc.stop()
-    return peak
-
-
-# ── scenarios ─────────────────────────────────────────────────────────────────
-
-SCENARIOS = [
-    ("pure append  1 → 1  msg", 1, 1, "append"),
-    ("pure append  10 → 1  msg", 10, 1, "append"),
-    ("pure append  100 → 1  msg", 100, 1, "append"),
-    ("pure append  1000 → 1  msg", 1000, 1, "append"),
-    ("pure append  1000 → 5  msgs", 1000, 5, "append"),
-    ("update existing  100 → 1  msg", 100, 1, "update"),
-    ("remove message  100 → 1  msg", 100, 1, "remove"),
-]
-
-
-def _make_inputs(n_left, n_right, mode):
-    left = _make_messages(n_left)
-    right = _make_messages(n_right)
-    if mode == "update":
-        right[0] = AIMessage(content="updated", id=left[0].id)
-    elif mode == "remove":
-        right = [RemoveMessage(id=left[0].id)]
-    return left, right
-
-
-# ── main output ───────────────────────────────────────────────────────────────
-
-COL = 36
-
-
-def run_benchmarks() -> None:
-    print()
-    print("=" * 88)
-    print("add_messages benchmark — time (µs, median of 2 000 iterations)")
-    print("=" * 88)
-    print(f"{'Scenario':<{COL}} {'Original':>10} {'Optimized':>11} {'Speedup':>8}")
-    print("-" * 88)
-
-    for label, n_left, n_right, mode in SCENARIOS:
-        left, right = _make_inputs(n_left, n_right, mode)
-        t_orig = _bench_time(_add_messages_original, left, right)
-        t_opt = _bench_time(_add_messages_optimized, left, right)
-        print(f"{label:<{COL}} {t_orig:>10.2f} {t_opt:>11.2f} {t_orig / t_opt:>7.2f}x")
-
-    print()
-    print("=" * 88)
-    print("add_messages benchmark — peak memory allocated per call (bytes)")
-    print("=" * 88)
-    print(f"{'Scenario':<{COL}} {'Original':>10} {'Optimized':>11} {'Reduction':>10}")
-    print("-" * 88)
-
-    for label, n_left, n_right, mode in SCENARIOS:
-        left, right = _make_inputs(n_left, n_right, mode)
-        m_orig = _bench_memory(_add_messages_original, left, right)
-        m_opt = _bench_memory(_add_messages_optimized, left, right)
-        reduction = (1 - m_opt / m_orig) * 100 if m_orig else 0.0
-        print(f"{label:<{COL}} {m_orig:>10,} {m_opt:>11,} {reduction:>9.1f}%")
-
-    print()
-    print("=" * 88)
-    print("Simulated long thread — 200 steps × 2 msgs appended per step")
-    print("=" * 88)
-    for name, fn in [
-        ("original", _add_messages_original),
-        ("optimized", _add_messages_optimized),
-    ]:
-        state: list = []
-        t0 = time.perf_counter()
-        for step in range(200):
-            new_msgs = [
-                HumanMessage(content=f"step {step} human", id=str(uuid.uuid4())),
-                AIMessage(content=f"step {step} ai", id=str(uuid.uuid4())),
-            ]
-            state = fn(state, new_msgs)
-        elapsed = (time.perf_counter() - t0) * 1_000
-        print(f"  {name:<12}  {elapsed:.2f} ms  ({len(state)} messages)")
-    print()
-
-
-# ── pytest entry-points ───────────────────────────────────────────────────────
-
-
-def test_add_messages_correctness():
-    """Optimised implementation must match original output for every scenario."""
-    for label, n_left, n_right, mode in SCENARIOS:
-        left, right = _make_inputs(n_left, n_right, mode)
-        expected = _add_messages_original(list(left), list(right))
-        actual = _add_messages_optimized(list(left), list(right))
-        assert len(actual) == len(expected), f"[{label}] length mismatch"
-        for a, b in zip(actual, expected):
-            assert type(a) is type(b), f"[{label}] type mismatch"
-            assert a.id == b.id, f"[{label}] id mismatch"
-            assert a.content == b.content, f"[{label}] content mismatch"
-
-
-def test_add_messages_benchmark(capsys):
-    run_benchmarks()
-    out = capsys.readouterr().out
-    assert "Speedup" in out
-    assert "Optimized" in out
-
-
-if __name__ == "__main__":
-    run_benchmarks()
@@ -1,344 +0,0 @@
-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 == []
@@ -1396,6 +1396,7 @@ 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",
@@ -1458,6 +1459,7 @@ 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",
@@ -1510,6 +1512,7 @@ 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",
@@ -6881,6 +6884,7 @@ 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",
@@ -6908,6 +6912,7 @@ 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",
@@ -6944,6 +6949,7 @@ 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",
@@ -1147,6 +1147,7 @@ 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",
@@ -1209,6 +1210,7 @@ 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",
@@ -1261,6 +1263,7 @@ 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",
@@ -3978,6 +3981,7 @@ 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",
@@ -4005,6 +4009,7 @@ 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",
@@ -4041,6 +4046,7 @@ 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",
@@ -5,7 +5,6 @@ import langchain_core
 import pytest
 from langchain_core.messages import (
    AIMessage,
-    AIMessageChunk,
    AnyMessage,
    HumanMessage,
    RemoveMessage,
@@ -339,123 +338,6 @@ def test_remove_all_messages():
    ]


-def test_fast_path_preserves_format_openai():
-    """Pure-append fast path must still apply the `langchain-openai` formatter."""
-    left = [HumanMessage(content="prior", id="1")]
-    right = [
-        AIMessage(
-            content=[
-                {
-                    "type": "tool_use",
-                    "name": "foo",
-                    "input": {"bar": "baz"},
-                    "id": "t1",
-                }
-            ],
-            id="2",
-        )
-    ]
-    result = add_messages(left, right, format="langchain-openai")
-    assert isinstance(result[0], HumanMessage)
-    assert result[0].content == "prior"
-    assert isinstance(result[1], AIMessage)
-    # formatter collapses the tool_use content block into `tool_calls`
-    assert result[1].content == ""
-    assert len(result[1].tool_calls) == 1
-    assert result[1].tool_calls[0]["name"] == "foo"
-    assert result[1].tool_calls[0]["args"] == {"bar": "baz"}
-    assert result[1].tool_calls[0]["id"] == "t1"
-
-
-def test_fast_path_rejects_invalid_format():
-    """Pure-append fast path must validate the `format` arg like the slow path."""
-    left = [HumanMessage(content="prior", id="1")]
-    right = [AIMessage(content="new", id="2")]
-    with pytest.raises(ValueError, match="Unrecognized format="):
-        add_messages(left, right, format="bogus")  # type: ignore[arg-type]
-
-
-def test_left_starting_with_chunk_is_normalized():
-    """Opt-1 guard: a `BaseMessageChunk` at left[0] must trigger full conversion."""
-    chunk = AIMessageChunk(content="chunk", id="c1")
-    result = add_messages([chunk], [HumanMessage(content="h", id="h1")])
-    assert len(result) == 2
-    # chunk must be converted to a non-chunk message
-    assert type(result[0]).__name__ == "AIMessage"
-    assert result[0].id == "c1"
-    assert result[1].id == "h1"
-
-
-def test_left_as_dicts_is_normalized():
-    """Opt-1 guard: dicts at left[0] must trigger full conversion."""
-    left = [{"role": "user", "content": "hi", "id": "d1"}]
-    right = [AIMessage(content="reply", id="a1")]
-    result = add_messages(left, right)
-    assert len(result) == 2
-    assert isinstance(result[0], HumanMessage)
-    assert result[0].id == "d1"
-    assert result[0].content == "hi"
-
-
-def test_left_as_tuples_is_normalized():
-    """Opt-1 guard: tuple-form messages must trigger full conversion."""
-    left = [("user", "hi")]
-    right = [AIMessage(content="reply", id="a1")]
-    result = add_messages(left, right)
-    assert len(result) == 2
-    assert isinstance(result[0], HumanMessage)
-    # id is auto-assigned
-    assert isinstance(result[0].id, str) and UUID(result[0].id, version=4)
-
-
-def test_left_first_msg_missing_id_is_normalized():
-    """Opt-1 guard: a BaseMessage without an id at left[0] falls to the else branch."""
-    left = [HumanMessage(content="hi")]  # no id
-    right = [AIMessage(content="reply", id="a1")]
-    result = add_messages(left, right)
-    assert len(result) == 2
-    # left's id must have been auto-assigned
-    assert isinstance(result[0].id, str) and UUID(result[0].id, version=4)
-
-
-def test_duplicate_ids_in_right_with_nonempty_left():
-    """Opt-2 guard: intra-right duplicate ids must take slow path (dedup kept)."""
-    left = [HumanMessage(content="prior", id="1")]
-    right = [
-        AIMessage(content="first", id="2"),
-        AIMessage(content="second", id="2"),
-    ]
-    result = add_messages(left, right)
-    assert len(result) == 2
-    assert result[0].id == "1"
-    assert result[1].id == "2"
-    assert result[1].content == "second"
-
-
-def test_right_with_none_ids_pure_append():
-    """Fast path still correct when right entries start with id=None (fresh uuids assigned)."""
-    left = [HumanMessage(content="prior", id="1")]
-    right = [AIMessage(content="a"), AIMessage(content="b")]
-    result = add_messages(left, right)
-    assert len(result) == 3
-    assert result[0].id == "1"
-    for m in result[1:]:
-        assert isinstance(m.id, str) and UUID(m.id, version=4)
-    # fresh uuids must be distinct
-    assert result[1].id != result[2].id
-
-
-def test_fast_path_returns_fresh_list():
-    """Fast path must return a new list object (not mutate or alias left)."""
-    left = [HumanMessage(content="prior", id="1")]
-    right = [AIMessage(content="new", id="2")]
-    result = add_messages(left, right)
-    assert result is not left
-    # left must be untouched
-    assert len(left) == 1
-    assert left[0].id == "1"
-
-
 def test_push_messages_in_graph():
    class MessagesState(TypedDict):
        messages: Annotated[list[AnyMessage], add_messages]
@@ -615,11 +615,8 @@ def test_run_from_checkpoint_id_retains_previous_writes(
        )
    ]

-    # +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 len(new_history) == len(history) + 1
+    for original, new in zip(history, new_history[1:]):
        assert original.values == new.values
        assert original.next == new.next
        assert original.metadata["step"] == new.metadata["step"]
@@ -627,7 +624,7 @@ 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, 2) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)


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

    thread1 = {"configurable": {"thread_id": "1"}}
-    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"},
-        {"mapper": "11"},
+    assert [*graph.stream([0, 1], thread1, durability=durability)] == [
        {"submapper": "0"},
+        {"mapper": "00"},
        {"submapper": "1"},
+        {"mapper": "11"},
+        {
+            "__interrupt__": (
+                Interrupt(
+                    value="question",
+                    id=AnyStr(),
+                ),
+            )
+        },
    ]
-    assert result[-1] == {
-        "__interrupt__": (
-            Interrupt(
-                value="question",
-                id=AnyStr(),
-            ),
-        )
-    }

    assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
        "00answera",
@@ -6274,7 +6269,7 @@ 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.monotonic()}
+        return {"tic": time.time()}

    @entrypoint()
    def graph(inputs: dict) -> list:
@@ -6287,7 +6282,7 @@ 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.monotonic())
+        arrival_times.append(time.time())

    assert len(arrival_times) == 2
    delta = arrival_times[1] - arrival_times[0]
@@ -6896,6 +6891,7 @@ 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",
@@ -6905,60 +6901,6 @@ 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

@@ -20,7 +20,6 @@ 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
@@ -2086,11 +2085,8 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
        )
    ]

-    # +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 len(new_history) == len(history) + 1
+    for original, new in zip(history, new_history[1:]):
        assert original.values == new.values
        assert original.next == new.next
        assert original.metadata["step"] == new.metadata["step"]
@@ -2098,7 +2094,7 @@ 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, 2) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)


 async def test_cond_edge_after_send() -> None:
@@ -7545,6 +7541,7 @@ 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",
@@ -7554,67 +7551,6 @@ 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_configurable() -> None:
-    """server_info is built from assistant_id/graph_id in config configurable."""
+def test_server_info_from_metadata() -> None:
+    """server_info is built from assistant_id/graph_id in config metadata."""
    captured: dict[str, Any] = {}
    compiled = _make_capture_graph(captured)
    compiled.invoke(
        {"message": "hi"},
-        config={"configurable": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
+        config={"metadata": {"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_configurable() -> None:
    assert si.user is None


-def test_server_info_none_without_configurable() -> None:
-    """server_info is None when no assistant_id/graph_id in configurable."""
+def test_server_info_none_without_metadata() -> None:
+    """server_info is None when no assistant_id/graph_id in metadata."""
    captured: dict[str, Any] = {}
    compiled = _make_capture_graph(captured)
    compiled.invoke({"message": "hi"})
@@ -579,11 +579,8 @@ def test_server_info_user_from_auth_user() -> None:
    compiled.invoke(
        {"message": "hi"},
        config={
-            "configurable": {
-                "langgraph_auth_user": proxy,
-                "assistant_id": "asst-proxy",
-                "graph_id": "graph-proxy",
-            },
+            "configurable": {"langgraph_auth_user": proxy},
+            "metadata": {"assistant_id": "asst-proxy", "graph_id": "graph-proxy"},
        },
    )
    si = captured["server_info"]
@@ -37,7 +37,6 @@ 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
    """
@@ -53,7 +52,6 @@ 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,
            }
@@ -282,116 +280,6 @@ 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:
@@ -432,14 +320,8 @@ def test_replay_interrupt_stable_across_replays(
        r = graph.invoke(None, before_ask.config)
        results.append(r)

-    # 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)
+    assert all(r == results[0] for r in results)
+    assert "__interrupt__" in results[0]


 def test_fork_from_before_interrupt_refires(
@@ -972,354 +854,6 @@ 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:
@@ -1756,321 +1290,6 @@ 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:
@@ -3064,16 +2283,14 @@ 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)
-    # 5 original + 1 fork + 2 new branch checkpoints = 8
-    assert len(post_summary) == 8
+    assert len(post_summary) == 7  # 5 original + 2 new branch checkpoints

    # Verify the full shape after replay
    assert [s["next"] for s in post_summary] == [
-        (),  # new branch tip
-        ("node_c",),  # new branch
-        ("node_b",),  # fork from replay point
-        (),  # old branch tip
-        ("node_c",),  # old
+        (),  # new branch tip (C6)
+        ("node_c",),  # new branch (C5)
+        (),  # old branch tip (C4)
+        ("node_c",),  # old (C3)
        ("node_b",),  # branch point (C2)
        ("node_a",),  # old (C1)
        ("__start__",),  # old (C0)
@@ -3081,7 +2298,6 @@ 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
@@ -46,7 +46,6 @@ 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
    """
@@ -62,7 +61,6 @@ 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,
            }
@@ -337,14 +335,8 @@ async def test_replay_interrupt_stable_across_replays(
        r = await graph.ainvoke(None, before_ask.config)
        results.append(r)

-    # 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)
+    assert all(r == results[0] for r in results)
+    assert "__interrupt__" in results[0]


@NEEDS_CONTEXTVARS
@@ -1269,391 +1261,6 @@ 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,
@@ -2481,15 +2088,13 @@ 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)
-    # 5 original + 1 fork + 2 new branch checkpoints = 8
-    assert len(post_summary) == 8
+    assert len(post_summary) == 7  # 5 original + 2 new branch checkpoints

    assert [s["next"] for s in post_summary] == [
-        (),  # new branch tip
-        ("node_c",),  # new branch
-        ("node_b",),  # fork from replay point
-        (),  # old branch tip
-        ("node_c",),  # old
+        (),  # new branch tip (C6)
+        ("node_c",),  # new branch (C5)
+        (),  # old branch tip (C4)
+        ("node_c",),  # old (C3)
        ("node_b",),  # branch point (C2)
        ("node_a",),  # old (C1)
        ("__start__",),  # old (C0)
@@ -2497,7 +2102,6 @@ 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
@@ -11,19 +11,13 @@ from typing import (
    TypeVar,
    Union,
 )
-from unittest.mock import MagicMock, patch
+from unittest.mock import 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,
-    get_callback_manager_for_config,
-)
+from langgraph._internal._config import _is_not_empty, ensure_config
 from langgraph._internal._fields import (
    _is_optional_type,
    get_enhanced_type_hints,
@@ -304,7 +298,7 @@ def test_is_not_empty() -> None:
    assert not _is_not_empty({})


-def test_configurable_metadata() -> None:
+def test_configurable_metadata():
    config = {
        "configurable": {
            "a-key": "foo",
@@ -315,115 +309,11 @@ def test_configurable_metadata() -> None:
            "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 set(metadata) == {
-        "nooverride",
-        "assistant_id",
-        "thread_id",
-        "checkpoint_id",
-        "run_id",
-        "graph_id",
-        "checkpoint_ns",
-        "task_id",
-    }
+    assert metadata.keys() == expected
    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",
-    }
@@ -524,61 +524,61 @@ toml = [

 [[package]]
 name = "cryptography"
-version = "46.0.7"
+version = "46.0.6"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "cffi", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and platform_python_implementation != 'PyPy'" },
 ]
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-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" }
+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" }
 wheels = [
-    { 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" },
+    { url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
 ]

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


 class ToolNode(RunnableCallable):
@@ -808,7 +807,6 @@ 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,
            )
@@ -843,7 +841,6 @@ 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,
            )
@@ -1336,7 +1333,7 @@ class ToolNode(RunnableCallable):
            return tool_call

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

        # Inject state
        if injected.state:
@@ -1364,20 +1361,14 @@ class ToolNode(RunnableCallable):
            # Extract state values
            if isinstance(state, dict):
                for tool_arg, state_field in injected.state.items():
-                    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)
+                    injected_args[tool_arg] = (
+                        state[state_field] if state_field else state
+                    )
            else:
                for tool_arg, state_field in injected.state.items():
-                    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)
+                    injected_args[tool_arg] = (
+                        getattr(state, state_field) if state_field else state
+                    )

        # Inject store
        if injected.store:
@@ -1578,7 +1569,6 @@ 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.
@@ -1621,7 +1611,6 @@ 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
@@ -1870,7 +1859,6 @@ 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)
@@ -1885,9 +1873,6 @@ 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

@@ -1904,5 +1889,4 @@ def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
        store=store_arg,
        runtime=runtime_arg,
        all_injected_keys=all_injected_keys,
-        _optional_state_args=_optional_state_args,
    )
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-prebuilt"
-version = "1.0.10"
+version = "1.0.9"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.10"
@@ -1,285 +0,0 @@
-"""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_server_info_and_tools() -> None:
-    """Test that execution_info, server_info, and tools are forwarded from Runtime to ToolRuntime."""
+def test_tool_runtime_forwards_execution_info_and_server_info() -> None:
+    """Test that execution_info and server_info are forwarded from Runtime to ToolRuntime."""
    from langgraph.runtime import ExecutionInfo, ServerInfo

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

-    @dec_tool
-    def other_tool(y: int) -> str:
-        """Another tool available to the runtime."""
-        return str(y)
-
-    node = ToolNode([info_tool, other_tool])
+    node = ToolNode([info_tool])
    tool_call = {
        "name": "info_tool",
        "args": {"x": 1},
@@ -2060,21 +2054,17 @@ def test_tool_runtime_forwards_execution_info_server_info_and_tools() -> None:
    }
    msg = AIMessage("", tool_calls=[tool_call])
    config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
-    result = node.invoke({"messages": [msg]}, config=config)
+    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_server_info_and_tools_async() -> (
-    None
-):
-    """Test that execution_info, server_info, and tools are forwarded in async path."""
+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."""
    from langgraph.runtime import ExecutionInfo, ServerInfo

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

-    @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])
+    node = ToolNode([info_tool_async])
    tool_call = {
        "name": "info_tool_async",
        "args": {"x": 1},
@@ -2117,17 +2101,12 @@ async def test_tool_runtime_forwards_execution_info_server_info_and_tools_async(
    }
    msg = AIMessage("", tool_calls=[tool_call])
    config: RunnableConfig = {"configurable": {"__pregel_runtime": mock_runtime}}
-    result = await node.ainvoke({"messages": [msg]}, config=config)
+    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 = "1.3.0"
+version = "1.2.25"
 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/92/fe/20190232d9b513242899dbb0c2bb77e31b4d61e343743adbe90ebc2603d2/langchain_core-1.3.0.tar.gz", hash = "sha256:14a39f528bf459aa3aa40d0a7f7f1bae7520d435ef991ae14a4ceb74d8c49046", size = 860755, upload-time = "2026-04-17T14:51:38.298Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/86/2a/d65de24fc9b7989137253da8973f850f3e39b4ce3e0377bc8200d6b3c189/langchain_core-1.2.25.tar.gz", hash = "sha256:77e032b96509d0eb1f6875042fdf97b7e2334a815314700c6894d9d078909b9c", size = 842347, upload-time = "2026-04-02T22:39:11.528Z" }
 wheels = [
-    { 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" },
+    { url = "https://files.pythonhosted.org/packages/3d/0e/7b31b0249f9b9b0fc7829d5b0ee484b8f8d43c78e376e9951e2ef3eac70c/langchain_core-1.2.25-py3-none-any.whl", hash = "sha256:0c05bf395aec6d2dfa14488fd006f7bcd0540e7e89287e04f92203532a82c828", size = 506866, upload-time = "2026-04-02T22:39:10.137Z" },
 ]

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

 [package.metadata]
 requires-dist = [
-    { name = "langchain-core", specifier = ">=1.3.0,<2" },
+    { name = "langchain-core", specifier = ">=0.1" },
    { 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 = "4.0.2"
+version = "4.0.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -490,7 +490,7 @@ test = [

 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.10"
+version = "1.0.9"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -619,7 +619,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.6.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -629,12 +629,11 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
-    { name = "xxhash" },
    { name = "zstandard" },
 ]
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