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Author SHA1 Message Date
Will Fu-Hinthorn 8393182893 update loop 2026-04-14 05:51:25 -07:00
Will Fu-Hinthorn 488c1af383 merge 2026-04-13 08:17:42 -07:00
Will Fu-Hinthorn fbcdbb5e0c update 2026-04-10 14:23:21 -07:00
Will Fu-Hinthorn 7f225ef93e chore: Backpressure 2026-04-09 17:35:59 -07:00
52 changed files with 1194 additions and 4109 deletions
+2 -2
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@@ -121,8 +121,8 @@ jobs:
exit 1
fi
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.1.14" ]; then
echo "LANGCHAIN_OPENAI_VERSION != 1.1.14; $LANGCHAIN_OPENAI_VERSION"
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.0.1" ]; then
echo "LANGCHAIN_OPENAI_VERSION != 1.0.1; $LANGCHAIN_OPENAI_VERSION"
exit 1
fi
LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
+6 -6
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@@ -306,7 +306,7 @@ test = [
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-5
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@@ -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]
+7 -126
View File
@@ -259,7 +259,7 @@ wheels = [
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version = "4.0.3"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
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[[package]]
name = "zstandard"
version = "0.25.0"
-5
View File
@@ -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
+10 -129
View File
@@ -249,7 +249,7 @@ wheels = [
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name = "langchain-core"
version = "1.2.28"
version = "1.2.22"
source = { registry = "https://pypi.org/simple" }
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{ name = "uuid-utils" },
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]
[[package]]
name = "zstandard"
version = "0.25.0"
-3
View File
@@ -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
@@ -46,36 +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 _is_safe_json_type(id_list: list[str]) -> bool:
"""Return True if an lc=2 id refers to a type in SAFE_MSGPACK_TYPES.
Safe types bypass the ``allowed_json_modules`` gate so that old "json" format
checkpoints (written before the msgpack migration) can be resumed without
requiring users to configure an explicit allowlist.
"""
if len(id_list) < 2:
return False
module_name = ".".join(id_list[:-1])
return (module_name, id_list[-1]) in _lg_msgpack.SAFE_MSGPACK_TYPES
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.
@@ -86,10 +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__(
@@ -104,11 +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 = (
@@ -177,23 +140,19 @@ class JsonPlusSerializer(SerializerProtocol):
return out
def _reviver(self, value: dict[str, Any]) -> Any:
if (
if self._allowed_json_modules and (
value.get("lc", None) == 2
and value.get("type", None) == "constructor"
and value.get("id", None) is not None
):
id_list = value["id"]
is_safe = _is_safe_json_type(id_list)
if self._allowed_json_modules or is_safe:
try:
return self._revive_lc2(value)
except InvalidModuleError as e:
if not is_safe:
logger.warning(
"Object %s is not in the deserialization allowlist.\n%s",
value["id"],
e.message,
)
try:
return self._revive_lc2(value)
except InvalidModuleError as e:
logger.warning(
"Object %s is not in the deserialization allowlist.\n%s",
value["id"],
e.message,
)
return LC_REVIVER(value)
@@ -241,13 +200,6 @@ class JsonPlusSerializer(SerializerProtocol):
method_display = "<init>"
dotted = ".".join(needed)
# Safe types (the same set already allowed for msgpack deserialization) are
# permitted without an explicit allowlist — they are known-safe LangGraph and
# LangChain types. This restores backwards-compat for old "json" checkpoints
# that pre-date the msgpack migration without reopening the broader security gate.
if _is_safe_json_type(list(needed)):
return
if not self._allowed_json_modules:
raise InvalidModuleError(
f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
@@ -575,13 +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,
@@ -599,9 +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,
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.0.3"
version = "4.0.1"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
-9
View File
@@ -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()
+2 -67
View File
@@ -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
@@ -333,57 +331,6 @@ def test_serde_jsonplus_bytes() -> None:
assert serde.loads_typed(dumped) == some_bytes
def test_lc2_json_safe_type_revives_without_allowlist() -> None:
"""Old 'json' blobs with lc=2 for safe types must revive without an explicit allowlist.
Regression test for: https://github.com/langchain-ai/langgraph/issues/7498
Threads checkpointed before v1.0.1 (pre-msgpack) stored messages as lc=2 JSON
constructor dicts. Resuming those threads must reconstruct proper BaseMessage objects
rather than returning raw dicts that cause MESSAGE_COERCION_FAILURE in add_messages.
"""
from langchain_core.messages import AIMessage
serde = JsonPlusSerializer() # default: _allowed_json_modules=None
human_blob = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "human", "HumanMessage"],
"kwargs": {"content": "hello", "type": "human"},
}
ai_blob = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
"kwargs": {"content": "hi there", "type": "ai"},
}
result = serde.loads_typed(("json", json.dumps([human_blob, ai_blob]).encode()))
assert len(result) == 2
assert isinstance(result[0], HumanMessage), (
f"Expected HumanMessage, got {type(result[0])}: {result[0]!r}\n"
"lc=2 JSON blobs for safe types must deserialize without an explicit allowlist"
)
assert result[0].content == "hello"
assert isinstance(result[1], AIMessage)
assert result[1].content == "hi there"
def test_lc2_json_unknown_type_stays_blocked_without_allowlist() -> None:
"""lc=2 JSON blobs for types NOT in SAFE_MSGPACK_TYPES still require an allowlist."""
serde = JsonPlusSerializer()
load = {
"lc": 2,
"type": "constructor",
"id": ["pprint", "pprint"],
"kwargs": {"object": "HELLO"},
}
# No allowlist configured → raw dict returned (not raised, not reconstructed)
result = serde.loads_typed(("json", json.dumps(load).encode()))
assert isinstance(result, dict), "Unknown lc=2 type must stay as raw dict"
assert result.get("lc") == 2
def test_deserde_invalid_module() -> None:
serde = JsonPlusSerializer()
load = {
@@ -633,14 +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
@@ -656,12 +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
@@ -706,6 +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"))
@@ -723,6 +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")]
)
+1 -13
View File
@@ -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:
+7 -126
View File
@@ -286,7 +286,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.0.3"
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" },
{ name = "uuid-utils" },
{ name = "xxhash" },
{ name = "zstandard" },
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version = "9.0.2"
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@@ -1129,9 +1128,9 @@ dependencies = [
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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",
]
+29 -8
View File
@@ -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"
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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==
+3 -3
View File
@@ -1328,9 +1328,9 @@ 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 "0.5.18"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.18.tgz#c691ad23614f0b46eaf07d982e0ac988e1f43880"
integrity sha512-3zuZUWffTHQ+73EAwnodADtf534VNEZUpXr9jC12qyG8/IQuJET7PRsCpTb9wX2lmBspakwLUpqpj3tNm/0bVA==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.24"
__version__ = "0.4.21"
-124
View File
@@ -1,124 +0,0 @@
"""Shared ignore-file handling for local source filtering."""
import pathlib
from dataclasses import dataclass
import pathspec
_ALWAYS_EXCLUDE = [
"__pycache__/",
".git/",
".venv/",
"venv/",
"node_modules/",
".tox/",
".mypy_cache/",
]
_ALWAYS_EXCLUDE_NAMES = frozenset(
pattern.rstrip("/").split("/")[-1] for pattern in _ALWAYS_EXCLUDE
)
_GLOB_CHARS = frozenset("*?[")
@dataclass(frozen=True, slots=True)
class _NegatedDockerignoreHints:
exact_dirs: frozenset[pathlib.PurePosixPath] = frozenset()
wildcard_prefixes: frozenset[pathlib.PurePosixPath] = frozenset()
recurse_all: bool = False
def requires_dir_walk(self, path: pathlib.PurePosixPath) -> bool:
if self.recurse_all or path in self.exact_dirs:
return True
return any(
path == prefix or path in prefix.parents or prefix in path.parents
for prefix in self.wildcard_prefixes
)
def _build_ignore_spec(
directory: pathlib.Path, *, include_gitignore: bool = True
) -> pathspec.PathSpec:
"""Build a PathSpec combining built-in exclusions with ignore files.
Always excludes common non-source directories (`_ALWAYS_EXCLUDE`). On top
of that, patterns from `.dockerignore` are merged in. `.gitignore` patterns
are optional because some callers need Docker build-context semantics,
while archive creation wants both files.
"""
lines: list[str] = list(_ALWAYS_EXCLUDE)
ignore_files = [".dockerignore"]
if include_gitignore:
ignore_files.append(".gitignore")
for name in ignore_files:
ignore_file = directory / name
if ignore_file.is_file():
lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
return pathspec.PathSpec.from_lines("gitwildmatch", lines)
def _is_always_excluded(path: pathlib.PurePosixPath, *, is_dir: bool) -> bool:
"""Whether `path` lives inside a built-in excluded directory."""
parent_parts = path.parts if is_dir else path.parts[:-1]
return any(part in _ALWAYS_EXCLUDE_NAMES for part in parent_parts)
def _build_dockerignore_negation_hints(
directory: pathlib.Path,
) -> _NegatedDockerignoreHints:
"""Summarize which ignored directories must still be traversed.
Most negations only require walking a small, concrete chain of parent
directories (for example `!assets/keep.txt` requires entering `assets/`).
Broader glob negations may force a wider walk.
"""
ignore_file = directory / ".dockerignore"
if not ignore_file.is_file():
return _NegatedDockerignoreHints()
exact_dirs: set[pathlib.PurePosixPath] = set()
wildcard_prefixes: set[pathlib.PurePosixPath] = set()
recurse_all = False
for raw_line in ignore_file.read_text(encoding="utf-8").splitlines():
line = raw_line.strip()
if not line or line.startswith("#") or line.startswith("\\!"):
continue
if line.startswith("\\#"):
line = line[1:]
if not line.startswith("!"):
continue
pattern = line[1:].lstrip("/")
while pattern.startswith("./"):
pattern = pattern[2:]
pattern = pattern.rstrip("/")
parts = [part for part in pattern.split("/") if part and part != "."]
if not parts:
recurse_all = True
continue
wildcard_index = next(
(
idx
for idx, part in enumerate(parts)
if any(char in part for char in _GLOB_CHARS)
),
None,
)
if wildcard_index is not None:
literal_parts = parts[:wildcard_index]
if not literal_parts:
recurse_all = True
continue
wildcard_prefixes.add(pathlib.PurePosixPath(*literal_parts))
continue
parent_parts = parts[:-1]
for idx in range(1, len(parent_parts) + 1):
exact_dirs.add(pathlib.PurePosixPath(*parent_parts[:idx]))
return _NegatedDockerignoreHints(
exact_dirs=frozenset(exact_dirs),
wildcard_prefixes=frozenset(wildcard_prefixes),
recurse_all=recurse_all,
)
+3 -10
View File
@@ -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,))
+24 -1
View File
@@ -9,12 +9,35 @@ from contextlib import contextmanager
import click
import pathspec
from langgraph_cli._ignore import _build_ignore_spec
from langgraph_cli.config import Config, _assemble_local_deps
_WARN_SIZE = 50 * 1024 * 1024 # 50 MB
_MAX_SIZE = 200 * 1024 * 1024 # 200 MB
_ALWAYS_EXCLUDE = [
"__pycache__/",
".git/",
".venv/",
"venv/",
"node_modules/",
".tox/",
".mypy_cache/",
]
def _build_ignore_spec(directory: pathlib.Path) -> pathspec.PathSpec:
"""Build a PathSpec combining built-in exclusions with .dockerignore and .gitignore.
Always excludes common non-source directories (_ALWAYS_EXCLUDE). On top of
that, patterns from .dockerignore and .gitignore (if present) are merged in.
"""
lines: list[str] = list(_ALWAYS_EXCLUDE)
for name in (".dockerignore", ".gitignore"):
ignore_file = directory / name
if ignore_file.is_file():
lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
return pathspec.PathSpec.from_lines("gitwildmatch", lines)
def _tar_filter(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo | None:
"""Strip symlinks, hardlinks, and traversal paths from archive."""
+11 -50
View File
@@ -10,13 +10,7 @@ except ModuleNotFoundError: # pragma: no cover - exercised on Python 3.10.
import tomli as tomllib
import click
import pathspec
from langgraph_cli._ignore import (
_build_dockerignore_negation_hints,
_build_ignore_spec,
_is_always_excluded,
)
from langgraph_cli.schemas import Config
@@ -446,32 +440,16 @@ def _container_root_for_uv_lock_package(
def _uv_lock_package_copy_items(
package: UvLockPackage,
plan: UvLockPlan,
ignore_spec: pathspec.PathSpec,
package: UvLockPackage, plan: UvLockPlan
) -> tuple[tuple[pathlib.PurePosixPath, pathlib.PurePosixPath], ...]:
# Skip entries that .dockerignore / built-in exclusions would strip from
# the build context. Emitting `ADD <path>` for a file that Docker has
# filtered out causes the build to fail with
# "failed to compute cache key: <path> not found".
if package.root != plan.project_root:
relative_root = pathlib.PurePosixPath(
*package.root.relative_to(plan.project_root).parts
)
if _is_always_excluded(relative_root, is_dir=True) or ignore_spec.match_file(
f"{relative_root.as_posix()}/"
):
raise click.UsageError(
f"Workspace member '{package.name}' at {relative_root} is "
"excluded from the Docker build context, but uv.lock requires "
"it to be copied into the build context. Remove the matching "
"pattern or drop the member from [tool.uv.workspace].members."
)
return ((relative_root, plan.container_roots[package.root]),)
root_container = plan.container_roots[package.root]
workspace_member_roots = plan.all_workspace_roots - {plan.project_root}
negated_dockerignore_hints = _build_dockerignore_negation_hints(plan.project_root)
def iter_entries(
current_dir: pathlib.Path,
@@ -483,32 +461,18 @@ def _uv_lock_package_copy_items(
# and excluded entirely otherwise.
continue
descendant_member_roots = [
ws_root
for ws_root in workspace_member_roots
if child in ws_root.parents
]
if child.is_dir() and descendant_member_roots:
entries.extend(iter_entries(child))
continue
relative_child = pathlib.PurePosixPath(
*child.relative_to(plan.project_root).parts
)
is_dir = child.is_dir()
if _is_always_excluded(relative_child, is_dir=is_dir):
continue
ignored = ignore_spec.match_file(
f"{relative_child.as_posix()}/" if is_dir else relative_child.as_posix()
)
is_workspace_parent = is_dir and any(
child in ws_root.parents for ws_root in workspace_member_roots
)
if is_workspace_parent:
entries.extend(iter_entries(child))
continue
if (
is_dir
and ignored
and negated_dockerignore_hints.requires_dir_walk(relative_child)
):
entries.extend(iter_entries(child))
continue
if ignored:
continue
entries.append(
(relative_child, root_container.joinpath(*relative_child.parts))
)
@@ -992,13 +956,10 @@ def python_config_to_docker_uv_lock(
docker_plan.add_raw("# -- End of uv.lock dependencies install --")
docker_plan.add_blank()
ignore_spec = _build_ignore_spec(plan.project_root, include_gitignore=False)
for package in plan.install_order:
package_label = package.root.relative_to(plan.project_root).as_posix() or "."
docker_plan.add_raw(f"# -- Adding workspace package {package_label} --")
for source, destination in _uv_lock_package_copy_items(
package, plan, ignore_spec
):
for source, destination in _uv_lock_package_copy_items(package, plan):
docker_plan.add_raw(copy_from_project_root(source, destination.as_posix()))
docker_plan.add_instruction(
"WORKDIR", plan.container_roots[package.root].as_posix()
+1 -1
View File
@@ -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'",
]
@@ -99,13 +99,6 @@ class TestBuildIgnoreSpec:
assert spec.match_file("app.log")
assert spec.match_file("mod.pyc")
def test_can_skip_gitignore(self, tmp_path):
(tmp_path / ".dockerignore").write_text("*.log\n")
(tmp_path / ".gitignore").write_text("*.pyc\n")
spec = _build_ignore_spec(tmp_path, include_gitignore=False)
assert spec.match_file("app.log")
assert not spec.match_file("mod.pyc")
def test_no_ignore_files_only_builtins(self, tmp_path):
spec = _build_ignore_spec(tmp_path)
assert spec.match_file("__pycache__/")
-359
View File
@@ -4,7 +4,6 @@ import os
import pathlib
import tempfile
import textwrap
from unittest.mock import patch
import click
import pytest
@@ -1856,364 +1855,6 @@ def test_config_to_docker_uv_lock_supports_single_uv_project_root():
assert additional_contexts == {}
def test_config_to_docker_uv_lock_skips_dockerignore_entries():
"""Entries filtered by .dockerignore / built-in excludes must not appear
as ADD lines. Docker fails to compute the cache key for paths that the
build context has stripped."""
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
project_root = tmpdir_path / "single"
project_root.mkdir()
(project_root / "uv.lock").write_text("# uv lock file\n")
(project_root / "pyproject.toml").write_text(
textwrap.dedent(
"""
[project]
name = "single-app"
version = "0.1.0"
dependencies = ["httpx>=0.28"]
[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
"""
).strip()
+ "\n"
)
(project_root / "langgraph.json").write_text("{}\n")
(project_root / "src").mkdir()
(project_root / "src" / "agent.py").write_text("graph = object()\n")
(project_root / "README.md").write_text("# hi\n")
# Built-in exclusions — must never appear as ADD lines.
(project_root / ".git").mkdir()
(project_root / ".git" / "HEAD").write_text("ref: refs/heads/main\n")
(project_root / ".venv").mkdir()
(project_root / ".venv" / "pyvenv.cfg").write_text("home = /usr\n")
(project_root / "__pycache__").mkdir()
(project_root / "__pycache__" / "x.cpython-311.pyc").write_bytes(b"\x00")
# .dockerignore excludes .gitignore and a custom path.
(project_root / ".dockerignore").write_text(".gitignore\nsecrets.env\n")
(project_root / ".gitignore").write_text("*.pyc\n")
(project_root / "secrets.env").write_text("TOKEN=abc\n")
config = validate_config(
{
"python_version": "3.11",
"graphs": {"agent": "./src/agent.py:graph"},
"source": {"kind": "uv"},
}
)
docker, _ = config_to_docker(
project_root / "langgraph.json",
config,
base_image="langchain/langgraph-api:0.2.47",
)
for excluded in (
"ADD .git ",
"ADD .gitignore ",
"ADD .venv ",
"ADD __pycache__ ",
"ADD secrets.env ",
):
assert excluded not in docker, (
f"{excluded!r} should be filtered out of Dockerfile:\n{docker}"
)
# The .dockerignore itself is still part of the context and should be
# ADDed (Docker needs it at build time, and archive.py includes it).
assert "ADD .dockerignore /deps/workspace/.dockerignore" in docker
assert "ADD src /deps/workspace/src" in docker
assert "ADD README.md /deps/workspace/README.md" in docker
def test_config_to_docker_uv_lock_does_not_apply_gitignore():
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
project_root = tmpdir_path / "single"
project_root.mkdir()
(project_root / "uv.lock").write_text("# uv lock file\n")
(project_root / "pyproject.toml").write_text(
textwrap.dedent(
"""
[project]
name = "single-app"
version = "0.1.0"
dependencies = ["httpx>=0.28"]
[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
"""
).strip()
+ "\n"
)
(project_root / "langgraph.json").write_text("{}\n")
(project_root / "src").mkdir()
(project_root / "src" / "agent.py").write_text("graph = object()\n")
(project_root / "README.md").write_text("# hi\n")
(project_root / ".gitignore").write_text("README.md\n")
config = validate_config(
{
"python_version": "3.11",
"graphs": {"agent": "./src/agent.py:graph"},
"source": {"kind": "uv"},
}
)
docker, _ = config_to_docker(
project_root / "langgraph.json",
config,
base_image="langchain/langgraph-api:0.2.47",
)
assert "ADD README.md /deps/workspace/README.md" in docker
def test_config_to_docker_uv_lock_skips_dockerignore_entries_in_workspace():
"""Multi-member workspace: ignore patterns must filter root-level entries
AND entries encountered while recursing into directories that contain
workspace members (the `descendant_member_roots` branch)."""
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
project_root, config_path = _write_uv_lock_workspace(
tmpdir_path,
agent_dependencies=["workspace-root", "shared", "httpx>=0.28"],
root_sources="[tool.uv.sources]\nshared = { workspace = true }\nworkspace-root = { workspace = true }",
agent_sources="[tool.uv.sources]\nshared = { workspace = true }\nworkspace-root = { workspace = true }",
)
root_src = project_root / "src" / "workspace_root"
root_src.mkdir(parents=True)
(root_src / "__init__.py").write_text("__all__ = []\n")
(project_root / "README.md").write_text("workspace root package\n")
# A non-member sibling of the `apps/agent` member that should be
# filtered out via .dockerignore. This exercises the recursion into
# `apps/` where `apps/agent` is kept (it's a member) but its sibling is
# filtered.
(project_root / "apps" / "scratch.txt").write_text("scratch\n")
# A root-level path that .dockerignore excludes.
(project_root / "secrets.env").write_text("TOKEN=abc\n")
(project_root / ".dockerignore").write_text("secrets.env\napps/scratch.txt\n")
config = validate_config(
{
"python_version": "3.11",
"graphs": {
"agent": "../../apps/agent/src/agent/graph.py:graph",
},
"source": {"kind": "uv", "root": "../..", "package": "agent"},
}
)
docker, _ = config_to_docker(
config_path, config, base_image="langchain/langgraph-api:0.2.47"
)
assert "COPY --from=uv-workspace-root src /deps/workspace/src" in docker
assert (
"COPY --from=uv-workspace-root README.md /deps/workspace/README.md"
in docker
)
assert (
"COPY --from=uv-workspace-root .dockerignore /deps/workspace/.dockerignore"
in docker
)
assert "secrets.env" not in docker
assert "apps/scratch.txt" not in docker
# Workspace members themselves are still copied via their own per-member
# COPY line — the sibling filter must not disturb this.
assert (
"COPY --from=uv-workspace-root apps/agent /deps/workspace/apps/agent"
in docker
)
def test_config_to_docker_uv_lock_preserves_negated_dockerignore_descendants():
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
project_root = tmpdir_path / "single"
project_root.mkdir()
(project_root / "uv.lock").write_text("# uv lock file\n")
(project_root / "pyproject.toml").write_text(
textwrap.dedent(
"""
[project]
name = "single-app"
version = "0.1.0"
dependencies = ["httpx>=0.28"]
[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
"""
).strip()
+ "\n"
)
(project_root / "langgraph.json").write_text("{}\n")
(project_root / "src").mkdir()
(project_root / "src" / "agent.py").write_text("graph = object()\n")
(project_root / "assets").mkdir()
(project_root / "assets" / "keep.txt").write_text("keep\n")
(project_root / "assets" / "drop.txt").write_text("drop\n")
(project_root / ".dockerignore").write_text("assets/\n!assets/keep.txt\n")
config = validate_config(
{
"python_version": "3.11",
"graphs": {"agent": "./src/agent.py:graph"},
"source": {"kind": "uv"},
}
)
docker, _ = config_to_docker(
project_root / "langgraph.json",
config,
base_image="langchain/langgraph-api:0.2.47",
)
assert "ADD assets /deps/workspace/assets" not in docker
assert "ADD assets/keep.txt /deps/workspace/assets/keep.txt" in docker
assert "assets/drop.txt" not in docker
def test_config_to_docker_uv_lock_prunes_unrelated_ignored_subtrees():
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
project_root = tmpdir_path / "single"
project_root.mkdir()
(project_root / "uv.lock").write_text("# uv lock file\n")
(project_root / "pyproject.toml").write_text(
textwrap.dedent(
"""
[project]
name = "single-app"
version = "0.1.0"
dependencies = ["httpx>=0.28"]
[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
"""
).strip()
+ "\n"
)
(project_root / "langgraph.json").write_text("{}\n")
(project_root / "src").mkdir()
(project_root / "src" / "agent.py").write_text("graph = object()\n")
(project_root / "assets").mkdir()
(project_root / "assets" / "keep.txt").write_text("keep\n")
(project_root / "vendor").mkdir()
(project_root / "vendor" / "huge.txt").write_text("large\n")
(project_root / ".dockerignore").write_text(
"vendor/\nassets/\n!assets/keep.txt\n"
)
config = validate_config(
{
"python_version": "3.11",
"graphs": {"agent": "./src/agent.py:graph"},
"source": {"kind": "uv"},
}
)
original_iterdir = pathlib.Path.iterdir
def guarded_iterdir(self):
if self == project_root / "vendor":
raise AssertionError("should not walk unrelated ignored subtree")
return original_iterdir(self)
with patch.object(
pathlib.Path, "iterdir", autospec=True, side_effect=guarded_iterdir
):
docker, _ = config_to_docker(
project_root / "langgraph.json",
config,
base_image="langchain/langgraph-api:0.2.47",
)
assert "ADD assets/keep.txt /deps/workspace/assets/keep.txt" in docker
assert "vendor/huge.txt" not in docker
def test_config_to_docker_uv_lock_never_reincludes_always_excluded_subtrees():
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
project_root = tmpdir_path / "single"
project_root.mkdir()
(project_root / "uv.lock").write_text("# uv lock file\n")
(project_root / "pyproject.toml").write_text(
textwrap.dedent(
"""
[project]
name = "single-app"
version = "0.1.0"
dependencies = ["httpx>=0.28"]
[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
"""
).strip()
+ "\n"
)
(project_root / "langgraph.json").write_text("{}\n")
(project_root / "src").mkdir()
(project_root / "src" / "agent.py").write_text("graph = object()\n")
(project_root / ".venv" / "pkg").mkdir(parents=True)
(project_root / ".venv" / "pkg" / "keep.txt").write_text("keep\n")
(project_root / "node_modules" / "pkg").mkdir(parents=True)
(project_root / "node_modules" / "pkg" / "package.json").write_text("{}\n")
(project_root / ".dockerignore").write_text(
"!.venv/pkg/keep.txt\n!node_modules/pkg/package.json\n"
)
config = validate_config(
{
"python_version": "3.11",
"graphs": {"agent": "./src/agent.py:graph"},
"source": {"kind": "uv"},
}
)
docker, _ = config_to_docker(
project_root / "langgraph.json",
config,
base_image="langchain/langgraph-api:0.2.47",
)
assert ".venv/pkg/keep.txt" not in docker
assert "node_modules/pkg/package.json" not in docker
assert "ADD src /deps/workspace/src" in docker
def test_config_to_docker_uv_lock_rejects_ignored_workspace_member():
"""A workspace member matched by .dockerignore cannot be copied into the
build context uv.lock requires it, so fail loudly with a clear message."""
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
project_root, config_path = _write_uv_lock_workspace(
tmpdir_path,
agent_sources="[tool.uv.sources]\nshared = { workspace = true }",
)
(project_root / ".dockerignore").write_text("libs/shared\n")
config = validate_config(
{
"python_version": "3.11",
"graphs": {"agent": "../../apps/agent/src/agent/graph.py:graph"},
"source": {"kind": "uv", "root": "../..", "package": "agent"},
"auth": {"path": "../../libs/shared/src/shared/auth.py:create_auth"},
}
)
with pytest.raises(
click.UsageError, match=r"Workspace member 'shared' at libs/shared"
):
config_to_docker(
config_path, config, base_image="langchain/langgraph-api:0.2.47"
)
def test_config_to_docker_uv_lock_rejects_invalid_source_package_type():
with tempfile.TemporaryDirectory() as tmpdir:
tmpdir_path = pathlib.Path(tmpdir)
+3 -3
View File
@@ -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]]
+3 -3
View File
@@ -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]]
+383 -465
View File
File diff suppressed because it is too large Load Diff
+12 -48
View File
@@ -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",
)
)
+18
View File
@@ -245,6 +245,15 @@ class _GraphCallbackManager(BaseCallbackManager):
run_id=run_id,
)
def add_handler(
self,
handler: BaseCallbackHandler,
inherit: bool = True, # noqa: FBT001,FBT002
) -> None:
if not isinstance(handler, GraphCallbackHandler):
raise TypeError("handlers must inherit GraphCallbackHandler")
super().add_handler(handler, inherit=inherit)
def copy(
self,
*,
@@ -312,6 +321,15 @@ class _AsyncGraphCallbackManager(BaseCallbackManager):
run_id=run_id,
)
def add_handler(
self,
handler: BaseCallbackHandler,
inherit: bool = True, # noqa: FBT001,FBT002
) -> None:
if not isinstance(handler, GraphCallbackHandler):
raise TypeError("handlers must inherit GraphCallbackHandler")
super().add_handler(handler, inherit=inherit)
def copy(
self,
*,
@@ -0,0 +1,218 @@
from __future__ import annotations
import asyncio
import os
import queue
import threading
from collections.abc import Callable
from contextlib import AbstractAsyncContextManager, AbstractContextManager
from dataclasses import dataclass
from types import TracebackType
from typing import Any
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
ChannelVersions,
Checkpoint,
CheckpointMetadata,
)
QUEUE_PUT_TIMEOUT = 0.05
CHECKPOINT_BACKLOG_ENV_VAR = "LANGGRAPH_CHECKPOINT_BACKLOG"
DEFAULT_CHECKPOINT_BACKLOG = 10
def _resolve_checkpoint_backlog() -> int:
if raw := os.getenv(CHECKPOINT_BACKLOG_ENV_VAR):
try:
backlog = int(raw)
except ValueError:
return DEFAULT_CHECKPOINT_BACKLOG
if backlog > 0:
return backlog
return DEFAULT_CHECKPOINT_BACKLOG
CHECKPOINT_BACKLOG = _resolve_checkpoint_backlog()
@dataclass(frozen=True, slots=True)
class CheckpointRequest:
config: RunnableConfig
checkpoint: Checkpoint
metadata: CheckpointMetadata
new_versions: ChannelVersions
def _raise(error: BaseException) -> None:
raise error
class SyncCheckpointWriter(AbstractContextManager):
__slots__ = ("put", "queue", "error", "closed", "thread")
def __init__(
self,
put: Callable[
[RunnableConfig, Checkpoint, CheckpointMetadata, ChannelVersions], Any
],
*,
max_pending: int | None = None,
) -> None:
self.put = put
max_pending = CHECKPOINT_BACKLOG if max_pending is None else max_pending
self.queue: queue.Queue[CheckpointRequest | None] = queue.Queue(max_pending)
self.error: BaseException | None = None
self.closed = False
self.thread = threading.Thread(
target=self._run,
name="langgraph-checkpoint-writer",
daemon=True,
)
def __enter__(self) -> SyncCheckpointWriter:
self.thread.start()
return self
def submit(self, request: CheckpointRequest) -> None:
self._ensure_open()
while True:
self._raise_if_broken()
try:
self.queue.put(request, timeout=QUEUE_PUT_TIMEOUT)
except queue.Full:
continue
else:
self._raise_if_broken()
return
def _run(self) -> None:
while True:
item = self.queue.get()
if item is None:
return
try:
self.put(
item.config,
item.checkpoint,
item.metadata,
item.new_versions,
)
except BaseException as exc:
self.error = exc
return
def _ensure_open(self) -> None:
if self.closed:
raise RuntimeError("Checkpoint writer is closed")
def _raise_if_broken(self) -> None:
if self.error is not None:
_raise(self.error)
def __exit__(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None:
self.closed = True
while self.thread.is_alive():
if self.error is not None:
break
try:
self.queue.put(None, timeout=QUEUE_PUT_TIMEOUT)
except queue.Full:
continue
else:
break
self.thread.join()
if exc_type is None and self.error is not None:
_raise(self.error)
return None
class AsyncCheckpointWriter(AbstractAsyncContextManager):
__slots__ = ("put", "queue", "error", "closed", "task")
def __init__(
self,
put: Callable[
[RunnableConfig, Checkpoint, CheckpointMetadata, ChannelVersions], Any
],
*,
max_pending: int | None = None,
) -> None:
self.put = put
max_pending = CHECKPOINT_BACKLOG if max_pending is None else max_pending
self.queue: asyncio.Queue[CheckpointRequest | None] = asyncio.Queue(max_pending)
self.error: BaseException | None = None
self.closed = False
self.task: asyncio.Task[None] | None = None
async def __aenter__(self) -> AsyncCheckpointWriter:
self.task = asyncio.create_task(self._run(), name="langgraph-checkpoint-writer")
return self
async def submit(self, request: CheckpointRequest) -> None:
self._ensure_open()
while True:
self._raise_if_broken()
try:
await asyncio.wait_for(
self.queue.put(request),
timeout=QUEUE_PUT_TIMEOUT,
)
except asyncio.TimeoutError:
continue
else:
self._raise_if_broken()
return
async def _run(self) -> None:
while True:
item = await self.queue.get()
if item is None:
return
try:
await self.put(
item.config,
item.checkpoint,
item.metadata,
item.new_versions,
)
except BaseException as exc:
self.error = exc
return
def _ensure_open(self) -> None:
if self.closed:
raise RuntimeError("Checkpoint writer is closed")
def _raise_if_broken(self) -> None:
if self.error is not None:
_raise(self.error)
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> None:
self.closed = True
while self.task is not None and not self.task.done():
if self.error is not None:
break
try:
await asyncio.wait_for(
self.queue.put(None),
timeout=QUEUE_PUT_TIMEOUT,
)
except asyncio.TimeoutError:
continue
else:
break
if self.task is not None:
await self.task
if exc_type is None and self.error is not None:
_raise(self.error)
+139 -130
View File
@@ -2,7 +2,6 @@ from __future__ import annotations
import asyncio
import binascii
import concurrent.futures
from collections import defaultdict, deque
from collections.abc import Callable, Iterator, Mapping, Sequence
from contextlib import (
@@ -27,7 +26,6 @@ from langgraph.cache.base import BaseCache
from langgraph.checkpoint.base import (
WRITES_IDX_MAP,
BaseCheckpointSaver,
ChannelVersions,
Checkpoint,
CheckpointMetadata,
CheckpointTuple,
@@ -97,6 +95,11 @@ from langgraph.pregel._checkpoint import (
create_checkpoint,
empty_checkpoint,
)
from langgraph.pregel._checkpoint_writer import (
AsyncCheckpointWriter,
CheckpointRequest,
SyncCheckpointWriter,
)
from langgraph.pregel._executor import (
AsyncBackgroundExecutor,
BackgroundExecutor,
@@ -172,19 +175,6 @@ class PregelLoop:
checkpointer_get_next_version: GetNextVersion
checkpointer_put_writes: Callable[[RunnableConfig, WritesT, str], Any] | None
checkpointer_put_writes_accepts_task_path: bool
_checkpointer_put_after_previous: (
Callable[
[
concurrent.futures.Future | None,
RunnableConfig,
Checkpoint,
str,
ChannelVersions,
],
Any,
]
| None
)
_migrate_checkpoint: Callable[[Checkpoint], None] | None
submit: Submit
channels: Mapping[str, BaseChannel]
@@ -536,7 +526,7 @@ class PregelLoop:
)
# produce debug output
if self._checkpointer_put_after_previous is not None:
if self.checkpointer is not None:
self._emit(
"checkpoints",
map_debug_checkpoint,
@@ -582,7 +572,7 @@ class PregelLoop:
return True
def after_tick(self) -> None:
def _after_tick(self) -> CheckpointRequest | None:
# finish superstep
writes = [w for t in self.tasks.values() for w in t.writes]
# all tasks have finished
@@ -607,15 +597,7 @@ class PregelLoop:
# only replay (re-execute) done tasks on the first tick
self.is_replaying = False
# save checkpoint
self._put_checkpoint({"source": "loop"})
# after execution, check if we should interrupt
if self.interrupt_after and should_interrupt(
self.checkpoint, self.interrupt_after, self.tasks.values()
):
self.status = "interrupt_after"
raise GraphInterrupt()
# unset resuming flag
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
return self._prepare_checkpoint({"source": "loop"})
def match_cached_writes(self) -> Sequence[PregelExecutableTask]:
raise NotImplementedError
@@ -664,7 +646,7 @@ class PregelLoop:
def _first(
self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
) -> set[str] | None:
) -> tuple[set[str] | None, CheckpointRequest | None]:
# Resuming from a previous checkpoint requires two things:
# 1. A prior checkpoint exists (channel_versions is non-empty)
# 2. The input signals continuation (not a fresh run with new input)
@@ -692,7 +674,7 @@ 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 +692,7 @@ 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
]
@@ -759,6 +740,7 @@ class PregelLoop:
)
if updated_channels is not None:
updated_channels.update(null_updated_channels)
checkpoint_request = None
# proceed past previous checkpoint
if is_resuming:
self.checkpoint["versions_seen"].setdefault(INTERRUPT, {})
@@ -766,26 +748,6 @@ 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
@@ -821,35 +783,21 @@ class PregelLoop:
)
# save input checkpoint
self.updated_channels = updated_channels
self._put_checkpoint({"source": "input"})
checkpoint_request = self._prepare_checkpoint({"source": "input"})
elif CONFIG_KEY_RESUMING not in configurable:
raise EmptyInputError(f"Received no input for {input_keys}")
# Propagate resuming and replaying flags to subgraphs.
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(
@@ -867,9 +815,11 @@ class PregelLoop:
self.status = "pending"
if is_resuming:
self._push_graph_lifecycle_event("resume")
return updated_channels
return updated_channels, checkpoint_request
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
def _prepare_checkpoint(
self, metadata: CheckpointMetadata
) -> CheckpointRequest | None:
# assign step and parents
exiting = metadata is self.checkpoint_metadata
if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
@@ -879,8 +829,7 @@ class PregelLoop:
metadata["step"] = self.step
metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
self.checkpoint_metadata = metadata
# do checkpoint?
do_checkpoint = self._checkpointer_put_after_previous is not None and (
do_checkpoint = self.checkpointer is not None and (
exiting or self.durability != "exit"
)
# create new checkpoint
@@ -902,9 +851,8 @@ class PregelLoop:
for value in self.checkpoint["channel_values"][TASKS]
]
self.checkpoint["channel_values"][TASKS] = sanitized_tasks
# bail if no checkpointer
if do_checkpoint and self._checkpointer_put_after_previous is not None:
request = None
if do_checkpoint:
self.prev_checkpoint_config = (
self.checkpoint_config
if CONFIG_KEY_CHECKPOINT_ID in self.checkpoint_config[CONF]
@@ -926,17 +874,11 @@ class PregelLoop:
self.checkpoint_previous_versions, channel_versions
)
self.checkpoint_previous_versions = channel_versions
# save it, without blocking
# if there's a previous checkpoint save in progress, wait for it
# ensuring checkpointers receive checkpoints in order
self._put_checkpoint_fut = self.submit(
self._checkpointer_put_after_previous,
getattr(self, "_put_checkpoint_fut", None),
self.checkpoint_config,
copy_checkpoint(self.checkpoint),
self.checkpoint_metadata,
new_versions,
request = CheckpointRequest(
config=self.checkpoint_config,
checkpoint=copy_checkpoint(self.checkpoint),
metadata=self.checkpoint_metadata,
new_versions=new_versions,
)
self.checkpoint_config = {
**self.checkpoint_config,
@@ -948,24 +890,13 @@ class PregelLoop:
if not exiting:
# increment step
self.step += 1
return request
def _suppress_interrupt(
def _finalize_suppress(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None:
# persist current checkpoint and writes
if self.durability == "exit" and (
# if it's a top graph
not self.is_nested
# or a nested graph with error or interrupt
or exc_value is not None
# or a nested graph with checkpointer=True
or all(NS_END not in part for part in self.checkpoint_ns)
):
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
@@ -1010,6 +941,7 @@ class PregelLoop:
elif exc_type is None:
# save final output
self.output = read_channels(self.channels, self.output_keys)
return None
def _emit(
self,
@@ -1157,26 +1089,57 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
)
else:
self.checkpointer_get_next_version = increment
self._checkpointer_put_after_previous = None # type: ignore[assignment]
self.checkpointer_put_writes = None
self.checkpointer_put_writes_accepts_task_path = False
self._checkpoint_writer: SyncCheckpointWriter | None = None
def _checkpointer_put_after_previous(
self,
prev: concurrent.futures.Future | None,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
new_versions: ChannelVersions,
) -> RunnableConfig:
try:
if prev is not None:
prev.result()
finally:
def _dispatch_checkpoint_request(self, request: CheckpointRequest) -> None:
if self.durability == "async" and self._checkpoint_writer is not None:
self._checkpoint_writer.submit(request)
else:
cast(BaseCheckpointSaver, self.checkpointer).put(
config, checkpoint, metadata, new_versions
request.config,
request.checkpoint,
request.metadata,
request.new_versions,
)
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
if request := self._prepare_checkpoint(metadata):
self._dispatch_checkpoint_request(request)
def _suppress_interrupt(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None:
# persist current checkpoint and writes
if self.durability == "exit" and (
# if it's a top graph
not self.is_nested
# or a nested graph with error or interrupt
or exc_value is not None
# or a nested graph with checkpointer=True
or all(NS_END not in part for part in self.checkpoint_ns)
):
self._put_checkpoint(self.checkpoint_metadata)
self._put_pending_writes()
return self._finalize_suppress(exc_type, exc_value)
def after_tick(self) -> None:
# compute tick state and save checkpoint
if request := self._after_tick():
self._dispatch_checkpoint_request(request)
# after execution, check if we should interrupt
if self.interrupt_after and should_interrupt(
self.checkpoint, self.interrupt_after, self.tasks.values()
):
self.status = "interrupt_after"
raise GraphInterrupt()
# unset resuming flag
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
def match_cached_writes(self) -> Sequence[PregelExecutableTask]:
if self.cache is None:
return ()
@@ -1272,6 +1235,10 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
else []
)
self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
if self.checkpointer is not None and self.durability == "async":
self._checkpoint_writer = self.stack.enter_context(
SyncCheckpointWriter(self.checkpointer.put)
)
self.channels, self.managed = channels_from_checkpoint(
self.specs, self.checkpoint
)
@@ -1280,12 +1247,14 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
self.step = self.checkpoint_metadata["step"] + 1
self.stop = self.step + self.config["recursion_limit"] + 1
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
self.updated_channels = self._first(
self.updated_channels, checkpoint_request = self._first(
input_keys=self.input_keys,
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
if self.checkpoint.get("updated_channels")
else None,
)
if checkpoint_request is not None:
self._dispatch_checkpoint_request(checkpoint_request)
return self
@@ -1356,26 +1325,34 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
)
else:
self.checkpointer_get_next_version = increment
self._checkpointer_put_after_previous = None # type: ignore[assignment]
self.checkpointer_put_writes = None
self.checkpointer_put_writes_accepts_task_path = False
self._checkpoint_writer: AsyncCheckpointWriter | None = None
async def _checkpointer_put_after_previous(
self,
prev: asyncio.Task | None,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
new_versions: ChannelVersions,
) -> RunnableConfig:
try:
if prev is not None:
await prev
finally:
async def _dispatch_checkpoint_request(self, request: CheckpointRequest) -> None:
if self.durability == "async" and self._checkpoint_writer is not None:
await self._checkpoint_writer.submit(request)
else:
await cast(BaseCheckpointSaver, self.checkpointer).aput(
config, checkpoint, metadata, new_versions
request.config,
request.checkpoint,
request.metadata,
request.new_versions,
)
async def aafter_tick(self) -> None:
# compute tick state and save checkpoint
if request := self._after_tick():
await self._dispatch_checkpoint_request(request)
# after execution, check if we should interrupt
if self.interrupt_after and should_interrupt(
self.checkpoint, self.interrupt_after, self.tasks.values()
):
self.status = "interrupt_after"
raise GraphInterrupt()
# unset resuming flag
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
async def amatch_cached_writes(self) -> Sequence[PregelExecutableTask]:
if self.cache is None:
return []
@@ -1420,6 +1397,32 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
},
)
async def _asuppress_interrupt(
self,
exc_type: type[BaseException] | None,
exc_value: BaseException | None,
traceback: TracebackType | None,
) -> bool | None:
"""Async counterpart of SyncPregelLoop._suppress_interrupt.
Uses async checkpoint dispatch so we don't block the event loop
(the sync version was previously used here via stack.push, which
would call the blocking checkpointer.put instead of aput).
"""
# persist current checkpoint and writes
if self.durability == "exit" and (
# if it's a top graph
not self.is_nested
# or a nested graph with error or interrupt
or exc_value is not None
# or a nested graph with checkpointer=True
or all(NS_END not in part for part in self.checkpoint_ns)
):
if request := self._prepare_checkpoint(self.checkpoint_metadata):
await self._dispatch_checkpoint_request(request)
self._put_pending_writes()
return self._finalize_suppress(exc_type, exc_value)
# context manager
async def __aenter__(self) -> Self:
@@ -1476,20 +1479,26 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
self.submit = await self.stack.enter_async_context(
AsyncBackgroundExecutor(self.config)
)
if self.checkpointer is not None and self.durability == "async":
self._checkpoint_writer = await self.stack.enter_async_context(
AsyncCheckpointWriter(self.checkpointer.aput)
)
self.channels, self.managed = channels_from_checkpoint(
self.specs, self.checkpoint
)
self.stack.push(self._suppress_interrupt)
self.stack.push_async_exit(self._asuppress_interrupt)
self.status = "input"
self.step = self.checkpoint_metadata["step"] + 1
self.stop = self.step + self.config["recursion_limit"] + 1
self.checkpoint_previous_versions = self.checkpoint["channel_versions"].copy()
self.updated_channels = self._first(
self.updated_channels, checkpoint_request = self._first(
input_keys=self.input_keys,
updated_channels=set(self.checkpoint.get("updated_channels")) # type: ignore[arg-type]
if self.checkpoint.get("updated_channels")
else None,
)
if checkpoint_request is not None:
await self._dispatch_checkpoint_request(checkpoint_request)
return self
+1 -7
View File
@@ -2775,9 +2775,6 @@ class Pregel(
)
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(
@@ -3196,11 +3193,8 @@ class Pregel(
_state_mapper,
):
yield o
loop.after_tick()
await loop.aafter_tick()
await aemit_graph_lifecycle_events(loop)
# wait for checkpoint
if durability_ == "sync":
await cast(asyncio.Future, loop._put_checkpoint_fut)
finally:
# ensure waiter doesn't remain pending on cancel/shutdown
if _cleanup_waiter is not None:
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.1.10"
version = "1.1.7a1"
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",
@@ -275,70 +275,3 @@ def test_graph_callbacks_accept_base_callback_manager() -> None:
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 == []
+6
View File
@@ -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",
+94 -60
View File
@@ -54,6 +54,11 @@ from langgraph.pregel import (
NodeBuilder,
Pregel,
)
from langgraph.pregel._checkpoint_writer import (
CHECKPOINT_BACKLOG_ENV_VAR,
DEFAULT_CHECKPOINT_BACKLOG,
_resolve_checkpoint_backlog,
)
from langgraph.pregel._loop import SyncPregelLoop
from langgraph.pregel._runner import PregelRunner
from langgraph.types import (
@@ -615,11 +620,8 @@ 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 +629,7 @@ 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:
@@ -3729,6 +3731,7 @@ def test_repeat_condition(snapshot: SnapshotAssertion) -> None:
"end": END,
},
)
workflow.add_conditional_edges(
"Chart Generator",
router,
@@ -3752,6 +3755,90 @@ def test_repeat_condition(snapshot: SnapshotAssertion) -> None:
assert app.get_graph().draw_mermaid(with_styles=False) == snapshot
def test_sync_durability_applies_checkpoint_backpressure() -> None:
first_put_started = threading.Event()
release_first_put = threading.Event()
put_calls = 0
visited: list[int] = []
result: dict[str, Any] = {}
error: dict[str, BaseException] = {}
class SlowFirstPutCheckpointer(InMemorySaver):
def put(
self,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
new_versions: Any,
) -> RunnableConfig:
nonlocal put_calls
put_calls += 1
if put_calls == 1:
first_put_started.set()
release_first_put.wait()
return super().put(config, checkpoint, metadata, new_versions)
class State(TypedDict):
counter: int
def increment(state: State) -> State:
visited.append(state["counter"])
return {"counter": state["counter"] + 1}
def should_continue(state: State) -> str:
return "loop" if state["counter"] < 4 else "done"
builder = StateGraph(State)
builder.add_node("increment", increment)
builder.add_edge(START, "increment")
builder.add_conditional_edges(
"increment", should_continue, {"loop": "increment", "done": END}
)
graph = builder.compile(checkpointer=SlowFirstPutCheckpointer())
def invoke() -> None:
try:
result["value"] = graph.invoke(
{"counter": 0},
{"configurable": {"thread_id": "1"}},
durability="async",
)
except BaseException as exc:
error["value"] = exc
thread = threading.Thread(target=invoke)
thread.start()
assert first_put_started.wait(timeout=1)
time.sleep(0.05)
assert thread.is_alive()
assert len(visited) <= DEFAULT_CHECKPOINT_BACKLOG + 1
release_first_put.set()
thread.join(timeout=1)
assert not thread.is_alive()
assert "value" not in error
assert result["value"] == {"counter": 4}
def test_checkpoint_backlog_uses_env_override(monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv(CHECKPOINT_BACKLOG_ENV_VAR, "7")
assert _resolve_checkpoint_backlog() == 7
def test_checkpoint_backlog_invalid_env_uses_default(
monkeypatch: pytest.MonkeyPatch,
) -> None:
monkeypatch.setenv(CHECKPOINT_BACKLOG_ENV_VAR, "not-an-int")
assert _resolve_checkpoint_backlog() == DEFAULT_CHECKPOINT_BACKLOG
monkeypatch.setenv(CHECKPOINT_BACKLOG_ENV_VAR, "0")
assert _resolve_checkpoint_backlog() == DEFAULT_CHECKPOINT_BACKLOG
def test_checkpoint_metadata(sync_checkpointer: BaseCheckpointSaver) -> None:
"""This test verifies that a run's configurable fields are merged with the
previous checkpoint config for each step in the run.
@@ -6896,6 +6983,7 @@ 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 +6993,6 @@ 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
+60 -68
View File
@@ -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
@@ -54,6 +53,7 @@ from langgraph.func import entrypoint, task
from langgraph.graph import END, START, StateGraph
from langgraph.graph.message import MessagesState, add_messages
from langgraph.pregel import NodeBuilder, Pregel
from langgraph.pregel._checkpoint_writer import DEFAULT_CHECKPOINT_BACKLOG
from langgraph.pregel._loop import AsyncPregelLoop
from langgraph.pregel._runner import PregelRunner
from langgraph.types import (
@@ -485,6 +485,61 @@ async def test_checkpoint_put_after_cancellation_stream_events_anext() -> None:
assert False, "Task should be cancelled"
async def test_async_durability_applies_checkpoint_backpressure() -> None:
first_put_started = asyncio.Event()
release_first_put = asyncio.Event()
put_calls = 0
visited: list[int] = []
class SlowFirstPutCheckpointer(InMemorySaver):
async def aput(
self,
config: RunnableConfig,
checkpoint: Checkpoint,
metadata: CheckpointMetadata,
new_versions: ChannelVersions,
) -> RunnableConfig:
nonlocal put_calls
put_calls += 1
if put_calls == 1:
first_put_started.set()
await release_first_put.wait()
return await super().aput(config, checkpoint, metadata, new_versions)
class State(TypedDict):
counter: int
def increment(state: State) -> State:
visited.append(state["counter"])
return {"counter": state["counter"] + 1}
def should_continue(state: State) -> str:
return "loop" if state["counter"] < 4 else "done"
builder = StateGraph(State)
builder.add_node("increment", increment)
builder.add_edge(START, "increment")
builder.add_conditional_edges(
"increment", should_continue, {"loop": "increment", "done": END}
)
graph = builder.compile(checkpointer=SlowFirstPutCheckpointer())
task = asyncio.create_task(
graph.ainvoke(
{"counter": 0}, {"configurable": {"thread_id": "1"}}, durability="async"
)
)
await first_put_started.wait()
await asyncio.sleep(0.05)
assert not task.done()
assert len(visited) <= DEFAULT_CHECKPOINT_BACKLOG + 1
release_first_put.set()
assert await task == {"counter": 4}
async def test_node_cancellation_on_external_cancel() -> None:
inner_task_cancelled = False
@@ -2086,11 +2141,8 @@ 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 +2150,7 @@ 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 +7597,7 @@ 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 +7607,6 @@ 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
+7 -791
View File
@@ -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
+7 -403
View File
@@ -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
+5 -115
View File
@@ -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",
}
+21 -22
View File
@@ -1348,7 +1348,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.1"
version = "1.2.22"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -1360,14 +1360,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/f4/fe/abeae8d0d2899e191d67c6c7f065f7e52a953f30b21ef327fa49084e4af9/langchain_core-1.3.1.tar.gz", hash = "sha256:41b384055799f93f34520df6bf7b80e2e5e23153cdfd46874251c6c9916ea030", size = 862403, upload-time = "2026-04-23T18:54:01.857Z" }
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[[package]]
name = "langgraph"
version = "1.1.10"
version = "1.1.7a1"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -1439,7 +1439,7 @@ test = [
[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 = "../prebuilt" },
{ name = "langgraph-sdk", editable = "../sdk-py" },
@@ -1548,7 +1548,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.0.3"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -1706,7 +1706,7 @@ inmem = [
requires-dist = [
{ name = "click", specifier = ">=8.1.7" },
{ name = "httpx", specifier = ">=0.24.0" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.9.0" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.8.0" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
{ name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
{ name = "pathspec", specifier = ">=0.11.0" },
@@ -1742,7 +1742,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.0.11"
version = "1.0.9"
source = { editable = "../prebuilt" }
dependencies = [
{ name = "langchain-core" },
@@ -1751,7 +1751,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.1" },
{ name = "langchain-core", specifier = ">=1.0.0" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
]
@@ -1852,7 +1852,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -1862,12 +1862,11 @@ dependencies = [
{ name = "requests" },
{ name = "requests-toolbelt" },
{ name = "uuid-utils" },
{ 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/e7/85/9c7933052a997da1b85bc5c774f3865e9b1da1c8d71541ea133178b13229/langsmith-0.6.4.tar.gz", hash = "sha256:36f7223a01c218079fbb17da5e536ebbaf5c1468c028abe070aa3ae59bc99ec8", size = 919964, upload-time = "2026-01-15T20:02:28.873Z" }
wheels = [
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]
[package.optional-dependencies]
@@ -2140,7 +2139,7 @@ wheels = [
[[package]]
name = "nbconvert"
version = "7.17.1"
version = "7.17.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "beautifulsoup4" },
@@ -2158,9 +2157,9 @@ dependencies = [
{ name = "pygments" },
{ name = "traitlets" },
]
sdist = { url = "https://files.pythonhosted.org/packages/01/b1/708e53fe2e429c103c6e6e159106bcf0357ac41aa4c28772bd8402339051/nbconvert-7.17.1.tar.gz", hash = "sha256:34d0d0a7e73ce3cbab6c5aae8f4f468797280b01fd8bd2ca746da8569eddd7d2", size = 865311, upload-time = "2026-04-08T00:44:14.914Z" }
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[[package]]
@@ -2906,7 +2905,7 @@ wheels = [
[[package]]
name = "pytest"
version = "9.0.3"
version = "9.0.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "colorama", marker = "sys_platform == 'win32'" },
@@ -2917,9 +2916,9 @@ dependencies = [
{ name = "pygments" },
{ name = "tomli", marker = "python_full_version < '3.11'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/7d/0d/549bd94f1a0a402dc8cf64563a117c0f3765662e2e668477624baeec44d5/pytest-9.0.3.tar.gz", hash = "sha256:b86ada508af81d19edeb213c681b1d48246c1a91d304c6c81a427674c17eb91c", size = 1572165, upload-time = "2026-04-07T17:16:18.027Z" }
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[[package]]
@@ -3018,11 +3017,11 @@ wheels = [
[[package]]
name = "python-dotenv"
version = "1.2.2"
version = "1.2.1"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/82/ed/0301aeeac3e5353ef3d94b6ec08bbcabd04a72018415dcb29e588514bba8/python_dotenv-1.2.2.tar.gz", hash = "sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3", size = 50135, upload-time = "2026-03-01T16:00:26.196Z" }
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[[package]]
+48 -165
View File
@@ -82,7 +82,6 @@ from langchain_core.tools.base import (
_is_injected_arg_type,
get_all_basemodel_annotations,
)
from langgraph._internal._constants import CONF, CONFIG_KEY_READ
from langgraph._internal._runnable import RunnableCallable
from langgraph.errors import GraphBubbleUp
from langgraph.graph.message import REMOVE_ALL_MESSAGES
@@ -615,7 +614,6 @@ class _InjectedArgs:
store: str | None
runtime: str | None
all_injected_keys: set[str]
_optional_state_args: set[str]
class ToolNode(RunnableCallable):
@@ -801,7 +799,7 @@ class ToolNode(RunnableCallable):
# Construct ToolRuntime instances at the top level for each tool call
tool_runtimes = []
for call, cfg in zip(tool_calls, config_list, strict=False):
state = self._extract_state(input, cfg)
state = self._extract_state(input)
tool_runtime = ToolRuntime(
state=state,
tool_call_id=call["id"],
@@ -809,7 +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,
)
@@ -836,7 +833,7 @@ class ToolNode(RunnableCallable):
# Construct ToolRuntime instances at the top level for each tool call
tool_runtimes = []
for call, cfg in zip(tool_calls, config_list, strict=False):
state = self._extract_state(input, cfg)
state = self._extract_state(input)
tool_runtime = ToolRuntime(
state=state,
tool_call_id=call["id"],
@@ -844,7 +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,
)
@@ -860,30 +856,14 @@ class ToolNode(RunnableCallable):
def _combine_tool_outputs(
self,
outputs: list[ToolMessage | Command | list[ToolMessage | Command]],
outputs: list[ToolMessage | Command],
input_type: Literal["list", "dict", "tool_calls"],
) -> list[Command | list[ToolMessage] | dict[str, list[ToolMessage]]]:
# Flatten list entries from tools that returned multiple items
flat_outputs: list[ToolMessage | Command]
if any(isinstance(output, list) for output in outputs):
flat_outputs = []
for output in outputs:
if isinstance(output, list):
flat_outputs.extend(output)
else:
flat_outputs.append(output)
else:
flat_outputs = cast("list[ToolMessage | Command]", outputs)
# preserve existing behavior for non-command tool outputs for backwards
# compatibility
if not any(isinstance(output, Command) for output in flat_outputs):
if not any(isinstance(output, Command) for output in outputs):
# TypedDict, pydantic, dataclass, etc. should all be able to load from dict
return (
flat_outputs
if input_type == "list"
else {self._messages_key: flat_outputs}
)
return outputs if input_type == "list" else {self._messages_key: outputs}
# LangGraph will automatically handle list of Command and non-command node
# updates
@@ -893,7 +873,7 @@ class ToolNode(RunnableCallable):
# combine all parent commands with goto into a single parent command
parent_command: Command | None = None
for output in flat_outputs:
for output in outputs:
if isinstance(output, Command):
if (
output.graph is Command.PARENT
@@ -923,7 +903,7 @@ class ToolNode(RunnableCallable):
request: ToolCallRequest,
input_type: Literal["list", "dict", "tool_calls"],
config: RunnableConfig,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute tool call with configured error handling.
Args:
@@ -932,7 +912,7 @@ class ToolNode(RunnableCallable):
config: Runnable configuration.
Returns:
ToolMessage, Command, or list of Command/ToolMessage.
ToolMessage or Command.
Raises:
Exception: If tool fails and handle_tool_errors is False.
@@ -964,11 +944,6 @@ class ToolNode(RunnableCallable):
call["name"], exc, call["args"], filtered_errors
) from exc
# Inside try so validation errors route through _handle_tool_errors
return self._normalize_tool_response(
response, request.tool_call, input_type
)
# GraphInterrupt is a special exception that will always be raised.
# It can be triggered in the following scenarios,
# Where GraphInterrupt(GraphBubbleUp) is raised from an `interrupt` invocation
@@ -1010,12 +985,23 @@ class ToolNode(RunnableCallable):
status="error",
)
# Process successful response
if isinstance(response, Command):
# Validate Command before returning to handler
return self._validate_tool_command(response, request.tool_call, input_type)
if isinstance(response, ToolMessage):
response.content = cast("str | list", msg_content_output(response.content))
return response
msg = f"Tool {call['name']} returned unexpected type: {type(response)}"
raise TypeError(msg)
def _run_one(
self,
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
tool_runtime: ToolRuntime,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute single tool call with wrap_tool_call wrapper if configured.
Args:
@@ -1070,7 +1056,7 @@ class ToolNode(RunnableCallable):
request: ToolCallRequest,
input_type: Literal["list", "dict", "tool_calls"],
config: RunnableConfig,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute tool call asynchronously with configured error handling.
Args:
@@ -1079,7 +1065,7 @@ class ToolNode(RunnableCallable):
config: Runnable configuration.
Returns:
ToolMessage, Command, or list of Command/ToolMessage.
ToolMessage or Command.
Raises:
Exception: If tool fails and handle_tool_errors is False.
@@ -1111,11 +1097,6 @@ class ToolNode(RunnableCallable):
call["name"], exc, call["args"], filtered_errors
) from exc
# Inside try so validation errors route through _handle_tool_errors
return self._normalize_tool_response(
response, request.tool_call, input_type
)
# GraphInterrupt is a special exception that will always be raised.
# It can be triggered in the following scenarios,
# Where GraphInterrupt(GraphBubbleUp) is raised from an `interrupt` invocation
@@ -1157,12 +1138,23 @@ class ToolNode(RunnableCallable):
status="error",
)
# Process successful response
if isinstance(response, Command):
# Validate Command before returning to handler
return self._validate_tool_command(response, request.tool_call, input_type)
if isinstance(response, ToolMessage):
response.content = cast("str | list", msg_content_output(response.content))
return response
msg = f"Tool {call['name']} returned unexpected type: {type(response)}"
raise TypeError(msg)
async def _arun_one(
self,
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
tool_runtime: ToolRuntime,
) -> ToolMessage | Command | list[Command | ToolMessage]:
) -> ToolMessage | Command:
"""Execute single tool call asynchronously with awrap_tool_call wrapper if configured.
Args:
@@ -1278,37 +1270,18 @@ class ToolNode(RunnableCallable):
return None
def _extract_state(
self,
input: list[AnyMessage] | dict[str, Any] | BaseModel,
config: RunnableConfig,
self, input: list[AnyMessage] | dict[str, Any] | BaseModel
) -> list[AnyMessage] | dict[str, Any] | BaseModel:
"""Extract state from input.
"""Extract state from input, handling ToolCallWithContext if present.
Three input shapes:
Args:
input: The input which may be raw state or ToolCallWithContext.
- `ToolCallWithContext` dict legacy Send payload carrying an inlined
state snapshot; return `input["state"]`.
- list of `ToolCall` dicts new Send payload with no inlined state;
hydrate state from channels via `CONFIG_KEY_READ`.
- regular graph state (dict/list/BaseModel) return `input` as-is.
Returns:
The actual state to pass to wrap_tool_call wrappers.
"""
if isinstance(input, dict) and input.get("__type") == "tool_call_with_context":
return input["state"]
if (
isinstance(input, list)
and input
and isinstance(input[-1], dict)
and input[-1].get("type") == "tool_call"
):
read = config.get(CONF, {}).get(CONFIG_KEY_READ)
if read is None:
return {}
# Pregel installs CONFIG_KEY_READ as
# `functools.partial(local_read, scratchpad, channels, managed, task)`.
# Match the previous inlined-state contract by reading channels only;
# managed values have their own injection path (`ToolRuntime.context`).
channels = read.args[1]
return cast("dict[str, Any]", read(list(channels), True))
return input
def _inject_tool_args(
@@ -1360,7 +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:
@@ -1388,20 +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:
@@ -1428,84 +1395,11 @@ class ToolNode(RunnableCallable):
tool_call_copy["args"] = {**stripped_args, **injected_args}
return tool_call_copy
def _normalize_tool_response(
self,
response: Any,
tool_call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
) -> ToolMessage | Command | list[Command | ToolMessage]:
"""Validate and normalize a tool's raw return value."""
if isinstance(response, Command):
return self._validate_tool_command(response, tool_call, input_type)
if isinstance(response, ToolMessage):
response.content = cast("str | list", msg_content_output(response.content))
return response
if isinstance(response, list):
if all(isinstance(r, (Command, ToolMessage)) for r in response):
return self._validate_tool_command_list(response, tool_call, input_type)
msg = (
f"Tool {tool_call['name']} returned a list with invalid element "
"types: expected all Command or ToolMessage"
)
raise TypeError(msg)
msg = f"Tool {tool_call['name']} returned unexpected type: {type(response)}"
raise TypeError(msg)
def _validate_tool_command_list(
self,
response: list[Command | ToolMessage],
tool_call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
) -> list[Command | ToolMessage]:
"""Validate a list of Command/ToolMessage returned by a single tool call.
Requires exactly one terminating ToolMessage (matching the outer tool_call_id)
across the list either as a top-level element or nested in a
Command.update["messages"].
"""
expected_id = tool_call["id"]
terminator_count = 0
for item in response:
if isinstance(item, ToolMessage):
if item.tool_call_id == expected_id:
terminator_count += 1
elif isinstance(item, Command) and isinstance(item.update, dict):
for msg in item.update.get(self._messages_key, []):
if isinstance(msg, ToolMessage) and msg.tool_call_id == expected_id:
terminator_count += 1
if terminator_count != 1:
msg = (
f"Tool {tool_call['name']} returned a list with "
f"{terminator_count} messages bound to tool_call_id "
f"{expected_id!r}; expected exactly one terminating ToolMessage."
)
raise ValueError(msg)
# Per-Command normalization still runs, but the list-level count above
# already guarantees exactly one terminator, so individual Commands may
# lack one.
validated: list[Command | ToolMessage] = []
for item in response:
if isinstance(item, Command):
validated.append(
self._validate_tool_command(
item, tool_call, input_type, require_terminator=False
)
)
else:
item.content = cast("str | list", msg_content_output(item.content))
validated.append(item)
return validated
def _validate_tool_command(
self,
command: Command,
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
*,
require_terminator: bool = True,
) -> Command:
if isinstance(command.update, dict):
# input type is dict when ToolNode is invoked with a dict input
@@ -1555,11 +1449,7 @@ class ToolNode(RunnableCallable):
# validate that we always have a ToolMessage matching the tool call in
# Command.update if command is sent to the CURRENT graph
if (
require_terminator
and updated_command.graph is None
and not has_matching_tool_message
):
if updated_command.graph is None and not has_matching_tool_message:
example_update = (
'`Command(update={"messages": '
'[ToolMessage("Success", tool_call_id=tool_call_id), ...]}, ...)`'
@@ -1679,7 +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.
@@ -1722,7 +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
@@ -1971,7 +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)
@@ -1986,9 +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
@@ -2005,5 +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,
)
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "1.0.11"
version = "1.0.9"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.10"
@@ -25,7 +25,7 @@ classifiers = [
]
dependencies = [
"langgraph-checkpoint>=2.1.0,<5.0.0",
"langchain-core>=1.3.1",
"langchain-core>=1.0.0",
]
[project.urls]
@@ -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
-92
View File
@@ -1320,98 +1320,6 @@ async def test_state_extraction_with_tool_call_with_context_async() -> None:
assert "tool_call" not in state_seen[0]
def _config_with_channel_read(
channel_values: dict[str, object],
store: BaseStore | None = None,
) -> RunnableConfig:
"""Build a config that mimics `CONFIG_KEY_READ` as Pregel installs it.
Pregel always installs a `functools.partial(local_read, scratchpad,
channels, managed, task)`, and `ToolNode` introspects that partial to
learn channel names. The stub matches the shape: partial whose second and
third positional args are `channels` and `managed` mappings.
"""
import functools
channels_stub = {k: None for k in channel_values}
managed_stub: dict[str, object] = {}
# Shape matches pregel's real partial:
# functools.partial(local_read, scratchpad, channels, managed, task)
def _read(scratchpad, channels, managed, task, select, fresh): # noqa: ARG001
if isinstance(select, str):
return channel_values[select]
return {k: channel_values[k] for k in select if k in channel_values}
read = functools.partial(_read, None, channels_stub, managed_stub, None)
cfg = _create_config_with_runtime(store)
cfg["configurable"]["__pregel_read"] = read
return cfg
def test_list_form_send_hydrates_state_from_channel_read() -> None:
"""Send('tools', [tool_call]) with no inlined state should hydrate
ToolRuntime.state from CONFIG_KEY_READ (full state read)."""
state_seen = []
def state_inspector_handler(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], ToolMessage | Command],
) -> ToolMessage | Command:
state_seen.append(request.state)
return execute(request)
channel_values = {
"messages": [AIMessage("from channels")],
"files": {"/a.md": "body"},
}
tool_node = ToolNode([add], wrap_tool_call=state_inspector_handler)
tool_call: ToolCall = {
"name": "add",
"args": {"a": 1, "b": 2},
"id": "call_1",
"type": "tool_call",
}
tool_node.invoke([tool_call], config=_config_with_channel_read(channel_values))
assert len(state_seen) == 1
got = state_seen[0]
assert got == channel_values
assert "messages" in got and "files" in got
async def test_list_form_send_hydrates_state_async() -> None:
state_seen = []
def state_inspector_handler(
request: ToolCallRequest,
execute: Callable[[ToolCallRequest], ToolMessage | Command],
) -> ToolMessage | Command:
state_seen.append(request.state)
return execute(request)
channel_values = {"messages": [AIMessage("from channels")], "files": {}}
tool_node = ToolNode([add], wrap_tool_call=state_inspector_handler)
tool_call: ToolCall = {
"name": "add",
"args": {"a": 1, "b": 2},
"id": "call_1",
"type": "tool_call",
}
await tool_node.ainvoke(
[tool_call], config=_config_with_channel_read(channel_values)
)
assert len(state_seen) == 1
assert state_seen[0] == channel_values
def test_tool_call_request_is_frozen() -> None:
"""Test that ToolCallRequest raises deprecation warnings on direct attribute reassignment."""
tool_call: ToolCall = {"name": "add", "args": {"a": 1, "b": 2}, "id": "call_1"}
+8 -221
View File
@@ -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 ---
@@ -2223,195 +2202,3 @@ def test_tool_node_injected_state_overwrites_llm_value() -> None:
)
tool_message = result["messages"][-1]
assert tool_message.content == "PUBLIC_DATA"
class _ReturningTool(BaseTool):
"""A tool that returns a configured value verbatim."""
name: str = "list_tool"
description: str = "Returns a configured value"
return_value: Any = None
def _run(self, **kwargs: Any) -> Any:
return self.return_value
async def _arun(self, **kwargs: Any) -> Any:
return self.return_value
def _list_tool_call(outer_id: str = "call-1") -> dict[str, Any]:
return {"name": "list_tool", "args": {}, "id": outer_id, "type": "tool_call"}
def _invoke_returning(
return_value: Any,
*,
outer_id: str = "call-1",
handle_tool_errors: bool = True,
) -> Any:
node = ToolNode(
[_ReturningTool(return_value=return_value)],
handle_tool_errors=handle_tool_errors,
)
return node.invoke(
{"messages": [AIMessage("", tool_calls=[_list_tool_call(outer_id)])]},
config=_create_config_with_runtime(),
)
def test_tool_node_list_return_command_and_tool_message() -> None:
"""Valid: tool returns [Command(update={...}), ToolMessage(...)]."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(update={"foo": "bar"}),
ToolMessage(content="done", tool_call_id=outer_id),
]
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1
assert commands[0].update == {"foo": "bar"}
non_commands = [r for r in result if not isinstance(r, Command)]
assert len(non_commands) == 1
assert isinstance(non_commands[0], dict)
msgs = non_commands[0]["messages"]
assert len(msgs) == 1
assert isinstance(msgs[0], ToolMessage)
assert msgs[0].content == "done"
assert msgs[0].tool_call_id == outer_id
def test_tool_node_list_return_nested_terminator() -> None:
"""Valid: terminator nested inside Command.update['messages']."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(update={"foo": "bar"}),
Command(
update={
"messages": [ToolMessage(content="done", tool_call_id=outer_id)]
}
),
]
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 2
updates = [c.update for c in commands]
assert {"foo": "bar"} in updates
msgs_update = next(u for u in updates if "messages" in (u or {}))
assert any(
isinstance(m, ToolMessage) and m.tool_call_id == outer_id
for m in msgs_update["messages"]
)
def test_tool_node_list_return_parent_goto_with_terminator() -> None:
"""Valid: [Command(graph=PARENT, goto=[Send(...)]), ToolMessage(...)]."""
outer_id = "call-1"
result = _invoke_returning(
[
Command(graph=Command.PARENT, goto=[Send("child", {})]),
ToolMessage(content="ok", tool_call_id=outer_id),
]
)
assert isinstance(result, list)
parent_cmds = [
r for r in result if isinstance(r, Command) and r.graph is Command.PARENT
]
assert len(parent_cmds) == 1
assert isinstance(parent_cmds[0].goto, list)
assert any(isinstance(s, Send) for s in parent_cmds[0].goto)
non_commands = [r for r in result if not isinstance(r, Command)]
assert len(non_commands) == 1
def test_tool_node_list_return_no_terminator_raises() -> None:
"""Invalid: list with no terminating ToolMessage."""
with pytest.raises(ValueError, match="0 messages bound to tool_call_id"):
_invoke_returning([Command(update={"foo": "bar"})], handle_tool_errors=False)
def test_tool_node_list_return_multiple_terminators_raises() -> None:
"""Invalid: list with two terminating ToolMessages."""
outer_id = "call-1"
with pytest.raises(ValueError, match="2 messages bound to tool_call_id"):
_invoke_returning(
[
ToolMessage(content="a", tool_call_id=outer_id),
ToolMessage(content="b", tool_call_id=outer_id),
],
handle_tool_errors=False,
)
def test_tool_node_list_return_validation_error_handled() -> None:
"""handle_tool_errors=True converts validation errors to an error ToolMessage."""
result = _invoke_returning([Command(update={"foo": "bar"})])
assert isinstance(result, dict)
msg = result["messages"][0]
assert isinstance(msg, ToolMessage)
assert msg.status == "error"
assert "0 messages bound to tool_call_id" in msg.content
async def test_tool_node_list_return_async_smoke() -> None:
"""Async path parallels sync for the happy case."""
outer_id = "call-1"
node = ToolNode(
[
_ReturningTool(
return_value=[
Command(update={"foo": "bar"}),
ToolMessage(content="done", tool_call_id=outer_id),
]
)
]
)
result = await node.ainvoke(
{"messages": [AIMessage("", tool_calls=[_list_tool_call(outer_id)])]},
config=_create_config_with_runtime(),
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1 and commands[0].update == {"foo": "bar"}
def test_tool_node_list_return_mixed_with_regular_tool() -> None:
"""List-returning tool and a regular tool dispatched from the same AIMessage."""
list_tool_id = "call-list"
regular_tool_id = "call-regular"
list_tool = _ReturningTool(
return_value=[
Command(update={"foo": "bar"}),
ToolMessage(content="list done", tool_call_id=list_tool_id),
]
)
def regular_tool(x: int) -> str:
"""A normal tool."""
return f"regular: {x}"
tool_calls = [
{"name": "list_tool", "args": {}, "id": list_tool_id, "type": "tool_call"},
{
"name": "regular_tool",
"args": {"x": 7},
"id": regular_tool_id,
"type": "tool_call",
},
]
node = ToolNode([list_tool, regular_tool])
result = node.invoke(
{"messages": [AIMessage("", tool_calls=tool_calls)]},
config=_create_config_with_runtime(),
)
assert isinstance(result, list)
commands = [r for r in result if isinstance(r, Command)]
assert len(commands) == 1
assert commands[0].update == {"foo": "bar"}
all_msgs = [m for r in result if isinstance(r, dict) for m in r["messages"]]
tool_call_ids = {m.tool_call_id for m in all_msgs}
assert list_tool_id in tool_call_ids
assert regular_tool_id in tool_call_ids
+14 -15
View File
@@ -249,7 +249,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.1"
version = "1.2.25"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -261,14 +261,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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name = "langgraph"
version = "1.1.10"
version = "1.1.7a1"
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 = "4.0.3"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -490,7 +490,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.0.11"
version = "1.0.9"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -535,7 +535,7 @@ test = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.1" },
{ name = "langchain-core", specifier = ">=1.0.0" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
]
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name = "langsmith"
version = "0.7.31"
version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -629,12 +629,11 @@ dependencies = [
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{ name = "requests-toolbelt" },
{ name = "uuid-utils" },
{ name = "xxhash" },
{ name = "zstandard" },
]
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version = "9.0.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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+14 -14
View File
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version = "1.2.28"
source = { registry = "https://pypi.org/simple" }
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name = "langgraph"
version = "1.1.10"
version = "1.1.7a1"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -294,7 +294,7 @@ 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 = "../prebuilt" },
{ name = "langgraph-sdk", editable = "." },
@@ -365,7 +365,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.0.3"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -413,7 +413,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.0.11"
version = "1.0.9"
source = { editable = "../prebuilt" }
dependencies = [
{ name = "langchain-core" },
@@ -422,7 +422,7 @@ dependencies = [
[package.metadata]
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{ name = "langchain-core", specifier = ">=1.3.1" },
{ name = "langchain-core", specifier = ">=1.0.0" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
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name = "langsmith"
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version = "0.7.20"
source = { registry = "https://pypi.org/simple" }
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