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Author SHA1 Message Date
Will Fu-Hinthorn 6fca70f087 release(cli): lockfile 2026-04-07 17:18:49 -07:00
47 changed files with 846 additions and 3864 deletions
@@ -339,6 +339,37 @@ async def test_list_metadata_custom_keys(
assert results[0].metadata["run_id"] == "run-abc"
async def test_list_global_search(
saver: BaseCheckpointSaver,
) -> None:
"""alist(None, filter=...) searches across all threads."""
tid1, tid2 = str(uuid4()), str(uuid4())
# Use a unique marker so we don't collide with other tests' data
marker = str(uuid4())
cfg1 = generate_config(tid1)
cp1 = generate_checkpoint()
await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
cfg2 = generate_config(tid2)
cp2 = generate_checkpoint()
await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
# Search across all threads with filter
results = []
async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
results.append(tup)
assert len(results) == 1
assert results[0].config["configurable"]["thread_id"] == tid1
# Search with marker only — should find both
results = []
async for tup in saver.alist(None, filter={"marker": marker}):
results.append(tup)
assert len(results) == 2
ALL_LIST_TESTS = [
test_list_all,
test_list_by_thread,
@@ -349,6 +380,7 @@ ALL_LIST_TESTS = [
test_list_metadata_filter_multiple_keys,
test_list_metadata_filter_no_match,
test_list_metadata_custom_keys,
test_list_global_search,
test_list_before,
test_list_limit,
test_list_limit_plus_before,
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-conformance"
version = "0.0.2"
version = "0.0.1"
description = "Conformance test suite for LangGraph checkpointer implementations."
authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
requires-python = ">=3.10"
+10 -10
View File
@@ -231,7 +231,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.22"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -243,9 +243,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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@@ -263,7 +263,7 @@ wheels = [
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name = "langgraph-checkpoint-conformance"
version = "0.0.2"
version = "0.0.1"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -306,7 +306,7 @@ test = [
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name = "langsmith"
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version = "0.7.3"
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-5
View File
@@ -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]
+10 -129
View File
@@ -240,7 +240,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.22"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -252,14 +252,14 @@ dependencies = [
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{ name = "uuid-utils" },
]
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@@ -382,7 +382,7 @@ test = [
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name = "langsmith"
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version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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{ name = "zstandard" },
]
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-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
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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
@@ -46,23 +46,6 @@ LC_REVIVER = Reviver()
EMPTY_BYTES = b""
logger = logging.getLogger(__name__)
# Dedup log warnings across process lifetime; cap bounds state if types are
# dynamically generated (also acts as a circuit breaker on warning volume).
# Dedup is best-effort: racing threads may each emit once for the same key,
# and warnings are silently dropped once _MAX_WARNED_TYPES is reached.
_MAX_WARNED_TYPES = 1000
_warned_unregistered_types: set[tuple[str, str]] = set()
_warned_blocked_types: set[tuple[str, str]] = set()
def _warn_once(
seen: set[tuple[str, str]], key: tuple[str, str], msg: str, *args: object
) -> None:
if key in seen or len(seen) >= _MAX_WARNED_TYPES:
return
seen.add(key)
logger.warning(msg, *args)
class JsonPlusSerializer(SerializerProtocol):
"""Serializer that uses ormsgpack, with optional fallbacks.
@@ -73,10 +56,6 @@ class JsonPlusSerializer(SerializerProtocol):
class and called within the Pregel loop. It should not be used on untrusted
python objects. If an attacker can write directly to your checkpoint database,
they may be able to trigger code execution when data is deserialized.
Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
deserialization to a built-in allowlist of safe types. You can also pass
an explicit ``allowed_msgpack_modules`` to the constructor.
"""
def __init__(
@@ -91,11 +70,8 @@ class JsonPlusSerializer(SerializerProtocol):
) -> None:
if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
if _lg_msgpack.STRICT_MSGPACK_ENABLED:
# Strict: only SAFE_MSGPACK_TYPES are allowed.
allowed_msgpack_modules = None
else:
# Permissive (default): all types allowed with a warning.
# Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
allowed_msgpack_modules = True
self.pickle_fallback = pickle_fallback
self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
@@ -551,13 +527,10 @@ def _create_msgpack_ext_hook(
"name": name,
}
)
_warn_once(
_warned_unregistered_types,
key,
logger.warning(
"Deserializing unregistered type %s.%s from checkpoint. "
"This will be blocked in a future version. "
"Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
"to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
"Add to allowed_msgpack_modules to silence: [(%r, %r)]",
module,
name,
module,
@@ -575,9 +548,7 @@ def _create_msgpack_ext_hook(
"name": name,
}
)
_warn_once(
_warned_blocked_types,
key,
logger.warning(
"Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
"Add to allowed_msgpack_modules to allow: [(%r, %r)]",
module,
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
-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 -16
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
@@ -582,14 +580,6 @@ def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None
assert result is not None
@pytest.fixture(autouse=True)
def _reset_warned_types() -> None:
# Warning dedup state is process-global; reset per-test so each case sees
# a fresh slate and assertions about warning emission are stable.
_warned_unregistered_types.clear()
_warned_blocked_types.clear()
def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic models not in allowlist should log warning but still deserialize."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
@@ -605,12 +595,6 @@ def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) ->
assert "unregistered type" in caplog.text.lower()
assert "allowed_msgpack_modules" in caplog.text
assert result == obj
# Second deserialization of the same type should NOT produce another warning
caplog.clear()
result2 = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert result2 == obj
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
@@ -655,6 +639,7 @@ def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) ->
def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
"""allowed_msgpack_modules=None should block unregistered types."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
@@ -672,6 +657,7 @@ def test_msgpack_allowlist_blocks_non_listed(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Allowlists should block unregistered types even if msgpack is enabled."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
)
+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:
+10 -129
View File
@@ -267,7 +267,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.23"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -379,12 +379,11 @@ dependencies = [
{ name = "requests" },
{ name = "requests-toolbelt" },
{ name = "uuid-utils" },
{ name = "xxhash" },
{ name = "zstandard" },
]
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@@ -1118,7 +1117,7 @@ wheels = [
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version = "9.0.2"
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@@ -1129,9 +1128,9 @@ dependencies = [
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]
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version = "0.25.0"
+29 -8
View File
@@ -1086,6 +1086,11 @@
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"@types/yargs-parser@*":
version "21.0.3"
resolved "https://registry.yarnpkg.com/@types/yargs-parser/-/yargs-parser-21.0.3.tgz#815e30b786d2e8f0dcd85fd5bcf5e1a04d008f15"
@@ -1777,6 +1782,13 @@ concat-map@0.0.1:
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
console-table-printer@^2.12.1:
version "2.15.0"
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.15.0.tgz#5c808204640b8f024d545bde8aabe5d344dfadc1"
integrity sha512-SrhBq4hYVjLCkBVOWaTzceJalvn5K1Zq5aQA6wXC/cYjI3frKWNPEMK3sZsJfNNQApvCQmgBcc13ZKmFj8qExw==
dependencies:
simple-wcswidth "^1.1.2"
convert-source-map@^2.0.0:
version "2.0.0"
resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-2.0.0.tgz#4b560f649fc4e918dd0ab75cf4961e8bc882d82a"
@@ -3676,12 +3688,16 @@ keyv@^4.5.4:
json-buffer "3.0.1"
"langsmith@>=0.5.0 <1.0.0":
version "0.5.20"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
version "0.5.4"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
"@types/uuid" "^10.0.0"
chalk "^4.1.2"
console-table-printer "^2.12.1"
p-queue "^6.6.2"
semver "^7.6.3"
uuid "^10.0.0"
leven@^3.1.0:
version "3.1.0"
@@ -3991,7 +4007,7 @@ p-locate@^5.0.0:
dependencies:
p-limit "^3.0.2"
p-queue@6.6.2, p-queue@^6.6.2:
p-queue@^6.6.2:
version "6.6.2"
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -4287,7 +4303,7 @@ semver@^6.3.1:
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
semver@^7.5.3, semver@^7.5.4, semver@^7.6.3, semver@^7.7.2, semver@^7.7.3:
version "7.7.4"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
integrity sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==
@@ -4395,6 +4411,11 @@ signal-exit@^4.0.1:
resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==
simple-wcswidth@^1.1.2:
version "1.1.2"
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
slash@^3.0.0:
version "3.0.0"
resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
@@ -4849,7 +4870,7 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@10.0.0, uuid@^10.0.0:
uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+72 -7
View File
@@ -217,6 +217,11 @@
resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
"@types/uuid@^10.0.0":
version "10.0.0"
resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
"@typescript-eslint/eslint-plugin@^8.58.0":
version "8.58.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
@@ -338,6 +343,13 @@ ajv@^6.14.0:
json-schema-traverse "^0.4.1"
uri-js "^4.2.2"
ansi-styles@^4.1.0:
version "4.3.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
integrity sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==
dependencies:
color-convert "^2.0.1"
ansi-styles@^5.0.0:
version "5.2.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
@@ -496,11 +508,38 @@ camelcase@6:
resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
chalk@^4.1.2:
version "4.1.2"
resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
dependencies:
ansi-styles "^4.1.0"
supports-color "^7.1.0"
color-convert@^2.0.1:
version "2.0.1"
resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
dependencies:
color-name "~1.1.4"
color-name@~1.1.4:
version "1.1.4"
resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
concat-map@0.0.1:
version "0.0.1"
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==
console-table-printer@^2.12.1:
version "2.14.6"
resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
dependencies:
simple-wcswidth "^1.0.1"
cross-spawn@^7.0.6:
version "7.0.6"
resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
@@ -1020,6 +1059,11 @@ has-bigints@^1.0.2:
resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==
has-flag@^4.0.0:
version "4.0.0"
resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
version "1.0.2"
resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
@@ -1328,12 +1372,16 @@ keyv@^4.5.4:
json-buffer "3.0.1"
"langsmith@>=0.5.0 <1.0.0":
version "0.5.20"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
version "0.5.4"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
"@types/uuid" "^10.0.0"
chalk "^4.1.2"
console-table-printer "^2.12.1"
p-queue "^6.6.2"
semver "^7.6.3"
uuid "^10.0.0"
levn@^0.4.1:
version "0.4.1"
@@ -1480,7 +1528,7 @@ p-locate@^5.0.0:
dependencies:
p-limit "^3.0.2"
p-queue@6.6.2, p-queue@^6.6.2:
p-queue@^6.6.2:
version "6.6.2"
resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -1642,6 +1690,11 @@ semver@^6.3.1:
resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
semver@^7.6.3:
version "7.7.2"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
semver@^7.7.3:
version "7.7.4"
resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
@@ -1730,6 +1783,11 @@ side-channel@^1.1.0:
side-channel-map "^1.0.1"
side-channel-weakmap "^1.0.2"
simple-wcswidth@^1.0.1:
version "1.1.2"
resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
stop-iteration-iterator@^1.1.0:
version "1.1.0"
resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
@@ -1780,6 +1838,13 @@ strip-json-comments@^3.1.1:
resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==
supports-color@^7.1.0:
version "7.2.0"
resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
dependencies:
has-flag "^4.0.0"
supports-preserve-symlinks-flag@^1.0.0:
version "1.0.0"
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
@@ -1901,7 +1966,7 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@10.0.0, uuid@^10.0.0:
uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.23"
__version__ = "0.4.20"
+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,))
-42
View File
@@ -817,48 +817,6 @@ def dev(
)
# ---------------------------------------------------------------------------
# validate command
# ---------------------------------------------------------------------------
@OPT_CONFIG
@cli.command(help="✅ Validate the LangGraph configuration file.")
@log_command
def validate(config: pathlib.Path):
import json
try:
with open(config) as f:
raw_config = json.load(f)
except json.JSONDecodeError as e:
raise click.UsageError(f"Invalid JSON in {config}: {e.args[0]}") from None
# Check for unknown keys before validation so they show alongside any error.
unknown_warnings = langgraph_cli.config.get_unknown_keys(raw_config)
try:
config_json = langgraph_cli.config.validate_config_file(config)
except (click.UsageError, ValueError) as e:
click.secho(f"Error: {e}", fg="red", err=True)
if unknown_warnings:
click.echo(err=True)
for warning in unknown_warnings:
click.secho(f" warning: {warning}", fg="yellow", err=True)
raise SystemExit(1) from None
num_graphs = len(config_json.get("graphs", {}))
click.secho(
f"Configuration file {config} is valid. "
f"({num_graphs} graph{'s' if num_graphs != 1 else ''} found)",
fg="green",
)
if unknown_warnings:
click.echo()
for warning in unknown_warnings:
click.secho(f" warning: {warning}", fg="yellow")
# ---------------------------------------------------------------------------
# new command
# ---------------------------------------------------------------------------
+17 -77
View File
@@ -182,11 +182,7 @@ def validate_config(config: Config) -> Config:
"Version must be major or major.minor or major.minor.patch."
)
except TypeError:
raise click.UsageError(
f"Invalid version format: {api_version}.\n\n"
"Pin to a minor version, e.g.:\n"
' "api_version": "0.8"'
) from None
raise click.UsageError(f"Invalid version format: {api_version}") from None
config = {
"node_version": node_version,
@@ -224,51 +220,45 @@ def validate_config(config: Config) -> Config:
if major < min_major:
raise click.UsageError(
f"Node.js version {node_version} is not supported. "
f"Minimum required version is {MIN_NODE_VERSION}.\n\n"
f"Set node_version to {MIN_NODE_VERSION} or higher:\n"
f' "node_version": "{MIN_NODE_VERSION}"'
f"Minimum required version is {MIN_NODE_VERSION}."
)
except ValueError as e:
raise click.UsageError(str(e)) from None
if pip_installer := config.get("pip_installer"):
if pip_installer == "uv_lock":
raise click.UsageError(
"pip_installer 'uv_lock' has been replaced. Use "
'`source: {"kind": "uv", "root": "..", '
'"package": "my-agent"}`.'
)
if pip_installer not in ["auto", "pip", "uv"]:
raise click.UsageError(
f"Invalid pip_installer: '{pip_installer}'. "
"Consider using uv-based source management instead:\n\n"
' "source": {"kind": "uv", "root": ".."}'
"Must be 'auto', 'pip', or 'uv'."
)
source = config.get("source")
source_kind = _get_source_kind(config)
if source is not None and not isinstance(source, dict):
raise click.UsageError(
"`source` must be an object, e.g.:\n"
' "source": {"kind": "uv", "root": ".."}'
)
raise click.UsageError("`source` must be an object.")
if source is not None and source_kind != "uv":
raise click.UsageError(
"Invalid source.kind. The only supported value is 'uv':\n"
' "source": {"kind": "uv", "root": ".."}'
)
raise click.UsageError("Invalid source.kind. Supported values: 'uv'.")
if config.get("python_version"):
pyversion = config["python_version"]
if not pyversion.count(".") == 1 or not all(
part.isdigit() for part in pyversion.split("-")[0].split(".")
):
parts = pyversion.split("-")[0].split(".")
fix = f"{parts[0]}.{parts[1]}" if len(parts) >= 2 else MIN_PYTHON_VERSION
raise click.UsageError(
f"Invalid Python version format: {pyversion}. "
"Use 'major.minor' format — patch version cannot be specified.\n\n"
f' "python_version": "{fix}"'
"Use 'major.minor' format (e.g., '3.11'). "
"Patch version cannot be specified."
)
if _parse_version(pyversion) < _parse_version(MIN_PYTHON_VERSION):
raise click.UsageError(
f"Python version {pyversion} is not supported. "
f"Minimum required version is {MIN_PYTHON_VERSION}.\n\n"
f' "python_version": "{MIN_PYTHON_VERSION}"'
f"Minimum required version is {MIN_PYTHON_VERSION}."
)
if "bullseye" in pyversion:
raise click.UsageError(
@@ -279,16 +269,12 @@ def validate_config(config: Config) -> Config:
if source_kind != "uv" and not config["dependencies"]:
raise click.UsageError(
"No dependencies found in config. "
"Consider using uv-based source management:\n\n"
' "source": {"kind": "uv", "root": ".."}'
"Add at least one dependency to 'dependencies' list."
)
if not config.get("graphs"):
raise click.UsageError(
"No graphs found in config. Add at least one graph, e.g.:\n"
' "graphs": {\n'
' "agent": "./my_agent/graph.py:graph"\n'
" }"
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
)
# Validate image_distro config
@@ -301,8 +287,7 @@ def validate_config(config: Config) -> Config:
if image_distro not in Distros.__args__:
raise click.UsageError(
f"Invalid image_distro: '{image_distro}'. "
f"Must be one of: {', '.join(repr(d) for d in Distros.__args__)}.\n\n"
' "image_distro": "wolfi" (recommended)'
"Must be one of 'debian', 'wolfi', or 'bookworm'."
)
if source_kind == "uv":
@@ -384,51 +369,6 @@ def validate_config(config: Config) -> Config:
return config
# Keys recognized by validate_config (used to detect unknown fields).
_KNOWN_CONFIG_KEYS = {
"python_version",
"node_version",
"api_version",
"base_image",
"image_distro",
"pip_config_file",
"pip_installer",
"source",
"dependencies",
"dockerfile_lines",
"graphs",
"env",
"store",
"auth",
"encryption",
"http",
"webhooks",
"checkpointer",
"ui",
"ui_config",
"keep_pkg_tools",
# Internal / legacy (still recognized, may error separately)
"_INTERNAL_docker_tag",
"project_root",
"package",
}
def get_unknown_keys(raw_config: dict) -> list[str]:
"""Return warnings for unrecognized top-level keys (typos, etc.)."""
import difflib
unknown = set(raw_config) - _KNOWN_CONFIG_KEYS
warnings: list[str] = []
for key in sorted(unknown):
close = difflib.get_close_matches(key, _KNOWN_CONFIG_KEYS, n=1)
if close:
warnings.append(f"Unknown key '{key}' — did you mean '{close[0]}'?")
else:
warnings.append(f"Unknown key '{key}' is not a recognized config field.")
return warnings
def validate_config_file(config_path: pathlib.Path) -> Config:
"""Load and validate a configuration file."""
with open(config_path) as f:
+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'",
]
+2 -2
View File
@@ -404,7 +404,7 @@ def test_validate_config_pip_installer():
}
)
assert "Invalid pip_installer: 'conda'" in str(exc_info.value)
assert "uv-based source management" in str(exc_info.value)
assert "Must be 'auto', 'pip', or 'uv'" in str(exc_info.value)
with pytest.raises(click.UsageError) as exc_info:
validate_config(
@@ -417,7 +417,7 @@ def test_validate_config_pip_installer():
)
assert "Invalid pip_installer: 'invalid'" in str(exc_info.value)
with pytest.raises(click.UsageError, match="Invalid pip_installer: 'uv_lock'"):
with pytest.raises(click.UsageError, match="has been replaced"):
validate_config(
{
"python_version": "3.11",
+6 -6
View File
@@ -215,7 +215,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.27"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -227,9 +227,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
sdist = { url = "https://files.pythonhosted.org/packages/13/5c/56d19a252bbb26247b7a7cd20821d48804d7ca03212fec709cd8db7c2516/langchain_core-1.2.27.tar.gz", hash = "sha256:c18372e4c4c1454d49bf23a2e484431e71bd39b64173a0f621f0fc283d7183a4", size = 844935, upload-time = "2026-04-07T14:56:32.364Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
{ url = "https://files.pythonhosted.org/packages/c1/c3/6e0865bc130c448270eb9511b47863a3f9145cdb519b19f6e4758fa63d6f/langchain_core-1.2.27-py3-none-any.whl", hash = "sha256:9ecd6b0393b969fe88f6b9b309367134080ab095946d79e6937dd3911aa42bd5", size = 508315, upload-time = "2026-04-07T14:56:30.93Z" },
]
[[package]]
@@ -290,7 +290,7 @@ wheels = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.7.26"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -303,9 +303,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
{ url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
]
[[package]]
+6 -6
View File
@@ -191,7 +191,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.28"
version = "1.2.27"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -203,9 +203,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
sdist = { url = "https://files.pythonhosted.org/packages/13/5c/56d19a252bbb26247b7a7cd20821d48804d7ca03212fec709cd8db7c2516/langchain_core-1.2.27.tar.gz", hash = "sha256:c18372e4c4c1454d49bf23a2e484431e71bd39b64173a0f621f0fc283d7183a4", size = 844935, upload-time = "2026-04-07T14:56:32.364Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
{ url = "https://files.pythonhosted.org/packages/c1/c3/6e0865bc130c448270eb9511b47863a3f9145cdb519b19f6e4758fa63d6f/langchain_core-1.2.27-py3-none-any.whl", hash = "sha256:9ecd6b0393b969fe88f6b9b309367134080ab095946d79e6937dd3911aa42bd5", size = 508315, upload-time = "2026-04-07T14:56:30.93Z" },
]
[[package]]
@@ -266,7 +266,7 @@ wheels = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.7.26"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -279,9 +279,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
{ url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
]
[[package]]
+433 -515
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",
)
)
-412
View File
@@ -1,412 +0,0 @@
"""Graph lifecycle callback interfaces and event payloads.
This module defines the public callback surface for observing LangGraph-specific
lifecycle transitions such as interrupt and resume.
"""
from __future__ import annotations
from collections.abc import Sequence
from dataclasses import dataclass
from typing import Any, Literal, TypeAlias, TypeVar
from uuid import UUID
from langchain_core.callbacks import BaseCallbackHandler, BaseCallbackManager
from langchain_core.callbacks.manager import ahandle_event, handle_event
from langchain_core.runnables import RunnableConfig
from langgraph.types import Interrupt
__all__ = (
"GraphCallbackHandler",
"GraphInterruptEvent",
"GraphLifecycleEvent",
"GraphLifecycleStatus",
"GraphResumeEvent",
"get_async_graph_callback_manager_for_config",
"get_sync_graph_callback_manager_for_config",
)
GraphLifecycleStatus: TypeAlias = Literal[
"input",
"pending",
"done",
"interrupt_before",
"interrupt_after",
"out_of_steps",
]
"""Allowed lifecycle statuses reported in graph lifecycle callback events."""
@dataclass(frozen=True)
class GraphInterruptEvent:
"""Graph lifecycle event emitted when execution pauses for interrupts."""
run_id: UUID | None
"""Run id for the current graph execution, if available."""
status: GraphLifecycleStatus
"""Loop status when the interrupt was captured."""
checkpoint_id: str
"""Checkpoint id associated with the interrupted execution."""
checkpoint_ns: tuple[str, ...]
"""Checkpoint namespace path for the current graph or subgraph."""
interrupts: tuple[Interrupt, ...]
"""Interrupt payloads that caused the graph to pause."""
@dataclass(frozen=True)
class GraphResumeEvent:
"""Graph lifecycle event emitted when execution resumes from a checkpoint."""
run_id: UUID | None
"""Run id for the current graph execution, if available."""
status: GraphLifecycleStatus
"""Loop status when the resume was captured."""
checkpoint_id: str
"""Checkpoint id the graph resumed from."""
checkpoint_ns: tuple[str, ...]
"""Checkpoint namespace path for the current graph or subgraph."""
GraphLifecycleEvent: TypeAlias = GraphInterruptEvent | GraphResumeEvent
"""Union of all public graph lifecycle callback event payloads.
Use this alias when a callback or helper can receive either interrupt or resume
lifecycle events.
"""
class GraphCallbackHandler(BaseCallbackHandler):
"""Base class for graph-level lifecycle callbacks.
Subclass this handler to observe graph lifecycle transitions that are
specific to LangGraph execution, rather than generic LangChain runnable
callbacks.
Instances can be passed through `config["callbacks"]` when invoking a
graph. Only handlers that inherit from `GraphCallbackHandler` receive these
lifecycle events.
"""
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
"""Run when graph execution pauses due to one or more interrupts.
Args:
event: Interrupt lifecycle event payload.
"""
def on_resume(self, event: GraphResumeEvent) -> Any:
"""Run when graph execution resumes from a persisted checkpoint.
Args:
event: Resume lifecycle event payload.
"""
_MISSING = object()
def _filter_graph_handlers(
handlers: list[BaseCallbackHandler],
) -> list[GraphCallbackHandler]:
return [h for h in handlers if isinstance(h, GraphCallbackHandler)]
def _init_base_manager(
manager: BaseCallbackManager,
handlers: Sequence[GraphCallbackHandler] | None,
inheritable_handlers: Sequence[GraphCallbackHandler] | None,
parent_run_id: UUID | None,
*,
tags: list[str] | None,
inheritable_tags: list[str] | None,
metadata: dict[str, Any] | None,
inheritable_metadata: dict[str, Any] | None,
run_id: UUID | None,
) -> None:
base_handlers: list[BaseCallbackHandler] = []
base_inheritable_handlers: list[BaseCallbackHandler] = []
if handlers is not None:
base_handlers.extend(handlers)
if inheritable_handlers is not None:
base_inheritable_handlers.extend(inheritable_handlers)
BaseCallbackManager.__init__(
manager,
handlers=base_handlers,
inheritable_handlers=base_inheritable_handlers,
parent_run_id=parent_run_id,
tags=tags,
inheritable_tags=inheritable_tags,
metadata=metadata,
inheritable_metadata=inheritable_metadata,
)
manager.run_id = run_id # type: ignore[attr-defined]
def _configure_graph_callbacks(
cls: type[_GraphManagerT],
callbacks: object | None,
*,
run_id: UUID | None,
) -> _GraphManagerT:
if callbacks is None:
return cls(run_id=run_id)
if isinstance(callbacks, cls):
return callbacks.copy(run_id=run_id)
if isinstance(callbacks, (_GraphCallbackManager, _AsyncGraphCallbackManager)):
# Cross-type: extract handlers into the requested cls.
return cls(
handlers=_filter_graph_handlers(callbacks.handlers),
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
parent_run_id=callbacks.parent_run_id,
tags=callbacks.tags.copy(),
inheritable_tags=callbacks.inheritable_tags.copy(),
metadata=callbacks.metadata.copy(),
inheritable_metadata=callbacks.inheritable_metadata.copy(),
run_id=run_id,
)
if isinstance(callbacks, BaseCallbackManager):
return cls(
handlers=_filter_graph_handlers(callbacks.handlers),
inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
parent_run_id=callbacks.parent_run_id,
tags=callbacks.tags.copy(),
inheritable_tags=callbacks.inheritable_tags.copy(),
metadata=callbacks.metadata.copy(),
inheritable_metadata=callbacks.inheritable_metadata.copy(),
run_id=run_id,
)
if isinstance(callbacks, GraphCallbackHandler):
return cls((callbacks,), run_id=run_id)
if isinstance(callbacks, (str, bytes)) or not isinstance(callbacks, Sequence):
raise TypeError("callbacks must be a handler, sequence, or manager")
return cls(_filter_graph_handlers(list(callbacks)), run_id=run_id)
def _copy_graph_manager(
manager: _GraphCallbackManager | _AsyncGraphCallbackManager,
cls: type[_GraphManagerT],
run_id: UUID | None | object,
) -> _GraphManagerT:
resolved_run_id: UUID | None
if run_id is _MISSING:
resolved_run_id = manager.run_id
else:
if run_id is not None and not isinstance(run_id, UUID):
raise TypeError("run_id must be a UUID or None")
resolved_run_id = run_id
return cls(
handlers=_filter_graph_handlers(manager.handlers),
inheritable_handlers=_filter_graph_handlers(manager.inheritable_handlers),
parent_run_id=manager.parent_run_id,
tags=manager.tags.copy(),
inheritable_tags=manager.inheritable_tags.copy(),
metadata=manager.metadata.copy(),
inheritable_metadata=manager.inheritable_metadata.copy(),
run_id=resolved_run_id,
)
class _GraphCallbackManager(BaseCallbackManager):
"""Sync dispatcher for graph lifecycle events."""
run_id: UUID | None
def __init__(
self,
handlers: Sequence[GraphCallbackHandler] | None = None,
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
parent_run_id: UUID | None = None,
*,
tags: list[str] | None = None,
inheritable_tags: list[str] | None = None,
metadata: dict[str, Any] | None = None,
inheritable_metadata: dict[str, Any] | None = None,
run_id: UUID | None = None,
) -> None:
_init_base_manager(
self,
handlers,
inheritable_handlers,
parent_run_id,
tags=tags,
inheritable_tags=inheritable_tags,
metadata=metadata,
inheritable_metadata=inheritable_metadata,
run_id=run_id,
)
def 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,
*,
run_id: UUID | None | object = _MISSING,
) -> _GraphCallbackManager:
return _copy_graph_manager(self, _GraphCallbackManager, run_id)
@classmethod
def configure(
cls,
callbacks: object | None = None,
*,
run_id: UUID | None = None,
) -> _GraphCallbackManager:
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
def on_interrupt(self, event: GraphInterruptEvent) -> None:
handle_event(
self.handlers,
"on_interrupt",
None,
event,
)
def on_resume(self, event: GraphResumeEvent) -> None:
handle_event(
self.handlers,
"on_resume",
None,
event,
)
class _AsyncGraphCallbackManager(BaseCallbackManager):
"""Async dispatcher for graph lifecycle events."""
run_id: UUID | None
@property
def is_async(self) -> bool:
"""Return whether the manager is async."""
return True
def __init__(
self,
handlers: Sequence[GraphCallbackHandler] | None = None,
inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
parent_run_id: UUID | None = None,
*,
tags: list[str] | None = None,
inheritable_tags: list[str] | None = None,
metadata: dict[str, Any] | None = None,
inheritable_metadata: dict[str, Any] | None = None,
run_id: UUID | None = None,
) -> None:
_init_base_manager(
self,
handlers,
inheritable_handlers,
parent_run_id,
tags=tags,
inheritable_tags=inheritable_tags,
metadata=metadata,
inheritable_metadata=inheritable_metadata,
run_id=run_id,
)
def 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,
*,
run_id: UUID | None | object = _MISSING,
) -> _AsyncGraphCallbackManager:
return _copy_graph_manager(self, _AsyncGraphCallbackManager, run_id)
@classmethod
def configure(
cls,
callbacks: object | None = None,
*,
run_id: UUID | None = None,
) -> _AsyncGraphCallbackManager:
return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
async def on_interrupt(self, event: GraphInterruptEvent) -> None:
await ahandle_event(
self.handlers,
"on_interrupt",
None,
event,
)
async def on_resume(self, event: GraphResumeEvent) -> None:
await ahandle_event(
self.handlers,
"on_resume",
None,
event,
)
_GraphManagerT = TypeVar(
"_GraphManagerT", _GraphCallbackManager, _AsyncGraphCallbackManager
)
GraphCallbacks: TypeAlias = (
_GraphCallbackManager
| _AsyncGraphCallbackManager
| BaseCallbackManager
| GraphCallbackHandler
| Sequence[BaseCallbackHandler]
| Sequence[GraphCallbackHandler]
| None
)
def get_sync_graph_callback_manager_for_config(
config: RunnableConfig,
*,
run_id: UUID | None = None,
) -> _GraphCallbackManager:
"""Build a sync graph lifecycle callback manager from a runnable config.
This helper filters `config["callbacks"]` down to handlers that inherit
from `GraphCallbackHandler` and binds the provided `run_id` onto the
returned manager.
"""
return _GraphCallbackManager.configure(
config.get("callbacks"),
run_id=run_id,
)
def get_async_graph_callback_manager_for_config(
config: RunnableConfig,
*,
run_id: UUID | None = None,
) -> _AsyncGraphCallbackManager:
"""Build an async graph lifecycle callback manager from a runnable config.
This helper filters `config["callbacks"]` down to handlers that inherit
from `GraphCallbackHandler` and binds the provided `run_id` onto the
returned manager.
"""
return _AsyncGraphCallbackManager.configure(
config.get("callbacks"),
run_id=run_id,
)
+10 -89
View File
@@ -62,11 +62,6 @@ from langgraph._internal._constants import (
from langgraph._internal._replay import ReplayState
from langgraph._internal._scratchpad import PregelScratchpad
from langgraph._internal._typing import EMPTY_SEQ, MISSING
from langgraph.callbacks import (
GraphInterruptEvent,
GraphLifecycleEvent,
GraphResumeEvent,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.untracked_value import UntrackedValue
from langgraph.constants import TAG_HIDDEN
@@ -122,7 +117,6 @@ from langgraph.types import (
CachePolicy,
Command,
Durability,
Interrupt,
PregelExecutableTask,
RetryPolicy,
Send,
@@ -209,8 +203,6 @@ class PregelLoop:
tasks: dict[str, PregelExecutableTask]
output: None | dict[str, Any] | Any = None
updated_channels: set[str] | None = None
_graph_lifecycle_events: deque[GraphLifecycleEvent]
_has_graph_lifecycle_callbacks: bool
# public
@@ -236,7 +228,6 @@ class PregelLoop:
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
self.stream = stream
self.config = config
@@ -261,8 +252,6 @@ class PregelLoop:
self.retry_policy = retry_policy
self.cache_policy = cache_policy
self.durability = durability
self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
self._graph_lifecycle_events = deque()
if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
@@ -314,40 +303,6 @@ class PregelLoop:
)
self.prev_checkpoint_config = None
def _push_graph_lifecycle_event(
self,
kind: Literal["resume", "interrupt"],
*,
interrupts: tuple[Interrupt, ...] = (),
) -> None:
if kind == "resume":
self._graph_lifecycle_events.append(
GraphResumeEvent(
run_id=None,
status=self.status,
checkpoint_id=self.checkpoint["id"],
checkpoint_ns=self.checkpoint_ns,
)
)
elif kind == "interrupt":
self._graph_lifecycle_events.append(
GraphInterruptEvent(
run_id=None,
status=self.status,
checkpoint_id=self.checkpoint["id"],
checkpoint_ns=self.checkpoint_ns,
interrupts=interrupts,
)
)
else:
msg = f"Unknown graph lifecycle event type: {kind}"
raise AssertionError(msg)
def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
if not self._graph_lifecycle_events:
return None
return self._graph_lifecycle_events.popleft()
def put_writes(self, task_id: str, writes: WritesT) -> None:
"""Put writes for a task, to be read by the next tick."""
if not writes:
@@ -692,7 +647,7 @@ class PregelLoop:
# writes so that interrupt() calls re-fire instead of returning
# stale values. But if we're actively resuming, keep them —
# multi-interrupt scenarios need previously resolved values preserved.
is_time_traveling = self.is_replaying and (
if self.is_replaying and (
# Time-travel to a subgraph checkpoint: the parent sets
# RESUMING=True (it can't distinguish time-travel from resume),
# so we check if this subgraph's own ns is in checkpoint_map.
@@ -710,8 +665,7 @@ class PregelLoop:
# (subgraph input is a Send arg, not a Command)
or configurable.get(CONFIG_KEY_RESUMING, False)
)
)
if is_time_traveling:
):
self.checkpoint_pending_writes = [
w for w in self.checkpoint_pending_writes if w[1] != RESUME
]
@@ -766,26 +720,6 @@ class PregelLoop:
if k in self.checkpoint["channel_versions"]:
version = self.checkpoint["channel_versions"][k]
self.checkpoint["versions_seen"][INTERRUPT][k] = version
# When time-traveling (replaying from a specific checkpoint),
# save a fork checkpoint so the replayed execution creates a
# new branch. Without this, if the execution hits an interrupt
# before after_tick() runs, no new checkpoint is created —
# the parent's latest checkpoint remains the old one and
# subsequent resumes load the wrong state.
# Skip for update_state forks (source=update/fork) since they
# already have their own fork checkpoint.
if is_time_traveling and self.checkpoint_metadata.get("source") not in (
"update",
"fork",
):
# Clear old INTERRUPT writes from the loaded checkpoint.
# The fork will have a new checkpoint_id which changes
# task IDs — stale interrupt writes would accumulate and
# confuse the multiple-interrupt check in future resumes.
self.checkpoint_pending_writes = [
w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
]
self._put_checkpoint({"source": "fork"})
# produce values output
self._emit(
"values", map_output_values, self.output_keys, True, self.channels
@@ -828,18 +762,14 @@ class PregelLoop:
if not self.is_nested:
# Pass the resolved before-bound checkpoint ID so subgraphs can
# find their corresponding checkpoint without re-fetching the
# parent. For forks (source=update/fork), use the fork's parent
# parent. For forks (source=update), use the fork's parent
# checkpoint ID since the fork was created after the subgraph's
# checkpoints from the original execution.
replay_state: ReplayState | None = None
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(
@@ -855,8 +785,6 @@ class PregelLoop:
)
# set flag
self.status = "pending"
if is_resuming:
self._push_graph_lifecycle_event("resume")
return updated_channels
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
@@ -957,10 +885,8 @@ class PregelLoop:
self._put_checkpoint(self.checkpoint_metadata)
self._put_pending_writes()
# suppress interrupt
if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
interrupt = exc_value
interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
if suppress:
# emit one last "values" event, with pending writes applied
if (
hasattr(self, "tasks")
@@ -987,11 +913,12 @@ class PregelLoop:
self.channels,
)
# emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
if not interrupt.args or not interrupt.args[0]:
interrupt_payload = interrupt.args[0] if interrupt.args else ()
if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
self._emit(
"updates",
lambda: iter([{INTERRUPT: interrupt_payload}]),
lambda: iter(
[{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
),
)
# save final output
self.output = read_channels(self.channels, self.output_keys)
@@ -1113,7 +1040,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
super().__init__(
input,
@@ -1135,7 +1061,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
retry_policy=retry_policy,
cache_policy=cache_policy,
durability=durability,
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
)
self.stack = ExitStack()
if checkpointer:
@@ -1211,7 +1136,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
# context manager
def __enter__(self) -> Self:
self._graph_lifecycle_events = deque()
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1312,7 +1236,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
retry_policy: Sequence[RetryPolicy] = (),
cache_policy: CachePolicy | None = None,
has_graph_lifecycle_callbacks: bool = False,
) -> None:
super().__init__(
input,
@@ -1334,7 +1257,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
retry_policy=retry_policy,
cache_policy=cache_policy,
durability=durability,
has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
)
self.stack = AsyncExitStack()
if checkpointer:
@@ -1413,7 +1335,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
# context manager
async def __aenter__(self) -> Self:
self._graph_lifecycle_events = deque()
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
+6 -14
View File
@@ -14,7 +14,7 @@ from langchain_core.messages import BaseMessage
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
from pydantic import BaseModel
from langgraph._internal._constants import NS_END, NS_SEP
from langgraph._internal._constants import NS_SEP
from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
from langgraph.pregel.protocol import StreamChunk
from langgraph.types import Command
@@ -132,23 +132,15 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
**kwargs: Any,
) -> Any:
if metadata and (not tags or (TAG_NOSTREAM not in tags)):
task_checkpoint_ns = cast(str, metadata["langgraph_checkpoint_ns"])
checkpoint_ns = (
f"{task_checkpoint_ns.rsplit(NS_END, 1)[0]}{NS_END}"
if NS_END in task_checkpoint_ns
else task_checkpoint_ns
)
ns = tuple(task_checkpoint_ns.split(NS_SEP))[:-1]
ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
:-1
]
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
return
stream_metadata = dict(metadata)
stream_metadata["langgraph_checkpoint_ns"] = checkpoint_ns
# Preserve backwards-compatible streamed checkpoint metadata shape.
stream_metadata["checkpoint_ns"] = checkpoint_ns
if tags:
if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
stream_metadata["tags"] = filtered_tags
self.metadata[run_id] = (ns, stream_metadata)
metadata["tags"] = filtered_tags
self.metadata[run_id] = (ns, metadata)
def on_llm_new_token(
self,
+6 -61
View File
@@ -16,7 +16,7 @@ from collections.abc import (
Mapping,
Sequence,
)
from dataclasses import is_dataclass, replace
from dataclasses import is_dataclass
from functools import partial
from inspect import isclass
from typing import (
@@ -96,12 +96,6 @@ from langgraph._internal._runnable import (
coerce_to_runnable,
)
from langgraph._internal._typing import MISSING, DeprecatedKwargs
from langgraph.callbacks import (
GraphInterruptEvent,
GraphResumeEvent,
get_async_graph_callback_manager_for_config,
get_sync_graph_callback_manager_for_config,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.topic import Topic
from langgraph.config import get_config
@@ -2591,10 +2585,6 @@ class Pregel(
name=config.get("run_name", self.get_name()),
run_id=config.get("run_id"),
)
graph_callback_manager = get_sync_graph_callback_manager_for_config(
config,
run_id=run_manager.run_id,
)
try:
# assign defaults
(
@@ -2679,17 +2669,6 @@ class Pregel(
_output_mapper = self._output_mapper if version == "v2" else None
_state_mapper = self._state_mapper if version == "v2" else None
def emit_graph_lifecycle_events(loop: SyncPregelLoop) -> None:
while (event := loop._pop_lifecycle_event()) is not None:
if isinstance(event, GraphResumeEvent):
graph_callback_manager.on_resume(
replace(event, run_id=graph_callback_manager.run_id)
)
else:
graph_callback_manager.on_interrupt(
replace(event, run_id=graph_callback_manager.run_id)
)
with SyncPregelLoop(
input,
stream=StreamProtocol(stream.put, stream_modes),
@@ -2710,9 +2689,7 @@ class Pregel(
migrate_checkpoint=self._migrate_checkpoint,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
) as loop:
emit_graph_lifecycle_events(loop)
# create runner
runner = PregelRunner(
submit=config[CONF].get(
@@ -2774,11 +2751,9 @@ class Pregel(
_state_mapper,
)
loop.after_tick()
emit_graph_lifecycle_events(loop)
# wait for checkpoint
if durability_ == "sync":
loop._put_checkpoint_fut.result()
emit_graph_lifecycle_events(loop)
# emit output
yield from _output(
stream_mode,
@@ -2953,10 +2928,6 @@ class Pregel(
name=config.get("run_name", self.get_name()),
run_id=config.get("run_id"),
)
graph_callback_manager = get_async_graph_callback_manager_for_config(
config,
run_id=run_manager.run_id,
)
# if running from astream_log() run each proc with streaming
do_stream = (
next(
@@ -3071,28 +3042,6 @@ class Pregel(
_output_mapper = self._output_mapper if version == "v2" else None
_state_mapper = self._state_mapper if version == "v2" else None
async def aemit_graph_lifecycle_events(loop: AsyncPregelLoop) -> None:
while (event := loop._pop_lifecycle_event()) is not None:
if isinstance(event, GraphResumeEvent):
await graph_callback_manager.on_resume(
GraphResumeEvent(
run_id=graph_callback_manager.run_id,
status=event.status,
checkpoint_id=event.checkpoint_id,
checkpoint_ns=event.checkpoint_ns,
)
)
else:
await graph_callback_manager.on_interrupt(
GraphInterruptEvent(
run_id=graph_callback_manager.run_id,
status=event.status,
checkpoint_id=event.checkpoint_id,
checkpoint_ns=event.checkpoint_ns,
interrupts=event.interrupts,
)
)
async with AsyncPregelLoop(
input,
stream=StreamProtocol(stream.put_nowait, stream_modes),
@@ -3113,9 +3062,7 @@ class Pregel(
migrate_checkpoint=self._migrate_checkpoint,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
has_graph_lifecycle_callbacks=bool(graph_callback_manager.handlers),
) as loop:
await aemit_graph_lifecycle_events(loop)
# create runner
runner = PregelRunner(
submit=config[CONF].get(
@@ -3197,7 +3144,6 @@ class Pregel(
):
yield o
loop.after_tick()
await aemit_graph_lifecycle_events(loop)
# wait for checkpoint
if durability_ == "sync":
await cast(asyncio.Future, loop._put_checkpoint_fut)
@@ -3206,8 +3152,6 @@ class Pregel(
if _cleanup_waiter is not None:
await _cleanup_waiter()
await aemit_graph_lifecycle_events(loop)
# emit output
for o in _output(
stream_mode,
@@ -3715,14 +3659,15 @@ def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> Non
def _build_server_info(
config: RunnableConfig, parent_runtime: Runtime[Any]
) -> ServerInfo | None:
"""Build ServerInfo from config configurable.
"""Build ServerInfo from config metadata and configurable.
The server puts assistant_id/graph_id in config configurable and the
The server puts assistant_id/graph_id in config metadata and the
authenticated user dict in configurable["langgraph_auth_user"].
"""
metadata = config.get("metadata") or {}
configurable = config.get(CONF) or {}
assistant_id = configurable.get("assistant_id")
graph_id = configurable.get("graph_id")
assistant_id = metadata.get("assistant_id")
graph_id = metadata.get("graph_id")
# Read authenticated user from configurable (set by LangGraph Server).
# We prefer isinstance(BaseUser) but fall back to hasattr("identity")
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.1.7"
version = "1.1.6"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -24,7 +24,7 @@ classifiers = [
'Programming Language :: Python :: 3.13',
]
dependencies = [
"langchain-core>=1.3.0,<2",
"langchain-core>=0.1",
"langgraph-checkpoint>=2.1.0,<5.0.0",
"langgraph-sdk>=0.3.0,<0.4.0",
"langgraph-prebuilt>=1.0.9,<1.1.0",
@@ -1,277 +0,0 @@
from __future__ import annotations
import sys
from typing import Any
import pytest
from langchain_core.callbacks.base import BaseCallbackHandler
from langchain_core.callbacks.manager import CallbackManager
from langgraph.checkpoint.memory import InMemorySaver
from typing_extensions import TypedDict
from langgraph.callbacks import (
GraphCallbackHandler,
GraphInterruptEvent,
GraphResumeEvent,
)
from langgraph.graph import START, StateGraph
from langgraph.types import Command, Interrupt, interrupt
NEEDS_CONTEXTVARS = pytest.mark.skipif(
sys.version_info < (3, 11),
reason="Python 3.11+ is required for async contextvars support",
)
class _GraphEventHandler(GraphCallbackHandler):
def __init__(self) -> None:
self.interrupt_events: list[GraphInterruptEvent] = []
self.resume_events: list[GraphResumeEvent] = []
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
self.interrupt_events.append(event)
def on_resume(self, event: GraphResumeEvent) -> Any:
self.resume_events.append(event)
class _LangChainCustomEventHandler(BaseCallbackHandler):
run_inline = True
def __init__(self) -> None:
self.events: list[str] = []
def on_custom_event(self, name: str, data: Any, **kwargs: Any) -> Any:
self.events.append(name)
class _RaisingGraphEventHandler(GraphCallbackHandler):
def __init__(
self,
*,
raise_on_interrupt: bool = False,
raise_on_resume: bool = False,
raise_error: bool = False,
) -> None:
self.raise_on_interrupt = raise_on_interrupt
self.raise_on_resume = raise_on_resume
self.raise_error = raise_error
def on_interrupt(self, event: GraphInterruptEvent) -> Any:
if self.raise_on_interrupt:
raise ValueError("boom-interrupt")
def on_resume(self, event: GraphResumeEvent) -> Any:
if self.raise_on_resume:
raise ValueError("boom-resume")
class _AsyncRaisingGraphEventHandler(GraphCallbackHandler):
def __init__(
self,
*,
raise_on_interrupt: bool = False,
raise_on_resume: bool = False,
raise_error: bool = False,
) -> None:
self.raise_on_interrupt = raise_on_interrupt
self.raise_on_resume = raise_on_resume
self.raise_error = raise_error
async def on_interrupt(self, event: GraphInterruptEvent) -> Any:
if self.raise_on_interrupt:
raise ValueError("boom-interrupt")
async def on_resume(self, event: GraphResumeEvent) -> Any:
if self.raise_on_resume:
raise ValueError("boom-resume")
class _State(TypedDict):
answer: str | None
def _build_interrupt_graph() -> Any:
def ask(state: _State) -> _State:
answer = interrupt("Provide value")
return {"answer": answer}
builder = StateGraph(_State)
builder.add_node("ask", ask)
builder.add_edge(START, "ask")
return builder.compile(checkpointer=InMemorySaver())
def test_graph_callbacks_interrupt_and_resume_sync() -> None:
graph = _build_interrupt_graph()
handler = _GraphEventHandler()
langchain_handler = _LangChainCustomEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-sync"},
"callbacks": [langchain_handler, handler],
}
first = graph.invoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(handler.interrupt_events) == 1
assert handler.interrupt_events[0].interrupts
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
assert handler.interrupt_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
handler.resume_events.clear()
resumed = graph.invoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(handler.resume_events) == 1
assert handler.resume_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
@pytest.mark.anyio
@NEEDS_CONTEXTVARS
async def test_graph_callbacks_interrupt_and_resume_async() -> None:
graph = _build_interrupt_graph()
handler = _GraphEventHandler()
langchain_handler = _LangChainCustomEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-async"},
"callbacks": [langchain_handler, handler],
}
first = await graph.ainvoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(handler.interrupt_events) == 1
assert handler.interrupt_events[0].interrupts
assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
assert handler.interrupt_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
handler.resume_events.clear()
resumed = await graph.ainvoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(handler.resume_events) == 1
assert handler.resume_events[0].checkpoint_ns == ()
assert langchain_handler.events == []
def test_graph_callbacks_continue_when_interrupt_handler_raises_sync() -> None:
graph = _build_interrupt_graph()
raising_handler = _RaisingGraphEventHandler(raise_on_interrupt=True)
recording_handler = _GraphEventHandler()
first = graph.invoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-sync-raises"},
"callbacks": [raising_handler, recording_handler],
},
)
assert "__interrupt__" in first
assert len(recording_handler.interrupt_events) == 1
def test_graph_callbacks_continue_when_resume_handler_raises_sync() -> None:
graph = _build_interrupt_graph()
raising_handler = _RaisingGraphEventHandler(raise_on_resume=True)
recording_handler = _GraphEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-sync-raises-resume"},
"callbacks": [raising_handler, recording_handler],
}
first = graph.invoke({"answer": None}, config)
assert "__interrupt__" in first
resumed = graph.invoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(recording_handler.resume_events) == 1
def test_graph_callbacks_raise_error_propagates_sync() -> None:
graph = _build_interrupt_graph()
raising_handler = _RaisingGraphEventHandler(
raise_on_interrupt=True,
raise_error=True,
)
with pytest.raises(ValueError, match="boom-interrupt"):
graph.invoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-sync-raise-error"},
"callbacks": [raising_handler],
},
)
@pytest.mark.anyio
@NEEDS_CONTEXTVARS
async def test_graph_callbacks_continue_when_handler_raises_async() -> None:
graph = _build_interrupt_graph()
raising_interrupt_handler = _AsyncRaisingGraphEventHandler(raise_on_interrupt=True)
recording_handler = _GraphEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-async-raises-interrupt"},
"callbacks": [raising_interrupt_handler, recording_handler],
}
first = await graph.ainvoke({"answer": None}, config)
assert "__interrupt__" in first
assert len(recording_handler.interrupt_events) == 1
graph = _build_interrupt_graph()
raising_resume_handler = _AsyncRaisingGraphEventHandler(raise_on_resume=True)
recording_handler = _GraphEventHandler()
config = {
"configurable": {"thread_id": "graph-callback-async-raises-resume"},
"callbacks": [raising_resume_handler, recording_handler],
}
first = await graph.ainvoke({"answer": None}, config)
assert "__interrupt__" in first
resumed = await graph.ainvoke(Command(resume="done"), config)
assert resumed == {"answer": "done"}
assert len(recording_handler.resume_events) == 1
@pytest.mark.anyio
@NEEDS_CONTEXTVARS
async def test_graph_callbacks_raise_error_propagates_async() -> None:
graph = _build_interrupt_graph()
raising_handler = _AsyncRaisingGraphEventHandler(
raise_on_interrupt=True,
raise_error=True,
)
with pytest.raises(ValueError, match="boom-interrupt"):
await graph.ainvoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-async-raise-error"},
"callbacks": [raising_handler],
},
)
def test_graph_callbacks_accept_base_callback_manager() -> None:
graph = _build_interrupt_graph()
graph_handler = _GraphEventHandler()
custom_handler = _LangChainCustomEventHandler()
manager = CallbackManager.configure(inheritable_callbacks=[custom_handler])
manager.add_handler(graph_handler)
first = graph.invoke(
{"answer": None},
{
"configurable": {"thread_id": "graph-callback-base-manager"},
"callbacks": manager,
},
)
assert "__interrupt__" in first
assert len(graph_handler.interrupt_events) == 1
+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",
+17 -75
View File
@@ -615,11 +615,8 @@ def test_run_from_checkpoint_id_retains_previous_writes(
)
]
# +2: one fork checkpoint from time travel, one from the new execution
assert len(new_history) == len(history) + 2
# new_history[0] is the new execution result, new_history[1] is the fork
assert new_history[1].metadata["source"] == "fork"
for original, new in zip(history, new_history[2:]):
assert len(new_history) == len(history) + 1
for original, new in zip(history, new_history[1:]):
assert original.values == new.values
assert original.next == new.next
assert original.metadata["step"] == new.metadata["step"]
@@ -627,7 +624,7 @@ def test_run_from_checkpoint_id_retains_previous_writes(
def _get_tasks(hist: list, start: int):
return [h.tasks for h in hist[start:]]
assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
def test_batch_two_processes_in_out() -> None:
@@ -1332,22 +1329,20 @@ def test_imp_nested(
}
thread1 = {"configurable": {"thread_id": "1"}}
result = [*graph.stream([0, 1], thread1, durability=durability)]
# nested tasks run concurrently so output order is non-deterministic
assert sorted(result[:-1], key=lambda d: str(d)) == [
{"mapper": "00"},
{"mapper": "11"},
assert [*graph.stream([0, 1], thread1, durability=durability)] == [
{"submapper": "0"},
{"mapper": "00"},
{"submapper": "1"},
{"mapper": "11"},
{
"__interrupt__": (
Interrupt(
value="question",
id=AnyStr(),
),
)
},
]
assert result[-1] == {
"__interrupt__": (
Interrupt(
value="question",
id=AnyStr(),
),
)
}
assert graph.invoke(Command(resume="answer"), thread1, durability=durability) == [
"00answera",
@@ -6274,7 +6269,7 @@ def test_sync_streaming_with_functional_api() -> None:
@task()
def slow() -> dict:
time.sleep(time_delay) # Simulate a delay of 10 ms
return {"tic": time.monotonic()}
return {"tic": time.time()}
@entrypoint()
def graph(inputs: dict) -> list:
@@ -6287,7 +6282,7 @@ def test_sync_streaming_with_functional_api() -> None:
for chunk in graph.stream({}):
if "slow" not in chunk: # We'll just look at the updates from `slow`
continue
arrival_times.append(time.monotonic())
arrival_times.append(time.time())
assert len(arrival_times) == 2
delta = arrival_times[1] - arrival_times[0]
@@ -6896,6 +6891,7 @@ def test_tags_stream_mode_messages() -> None:
"langgraph_path": ("__pregel_pull", "call_model"),
"langgraph_checkpoint_ns": AnyStr("call_model:"),
"checkpoint_ns": AnyStr("call_model:"),
"_type": "generic-fake-chat-model",
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
@@ -6905,60 +6901,6 @@ def test_tags_stream_mode_messages() -> None:
]
def test_configurable_propagates_to_stream_metadata() -> None:
"""Regression: thread_id, run_id, assistant_id, graph_id,
and langgraph_auth_user_id from configurable must appear
in stream_mode='messages' metadata."""
def my_node(state):
return {"messages": HumanMessage(content="hello")}
graph = (
StateGraph(MessagesState)
.add_node("my_node", my_node)
.add_edge(START, "my_node")
.compile()
)
config = {
"configurable": {
"thread_id": "th-123",
"checkpoint_id": "ckpt-1",
"checkpoint_ns": "ns-1",
"task_id": "task-1",
"run_id": "run-456",
"assistant_id": "asst-789",
"graph_id": "graph-0",
"model": "gpt-4o",
"user_id": "uid-1",
"cron_id": "cron-1",
"langgraph_auth_user_id": "user-1",
# these should NOT be propagated into metadata
"some_api_key": "secret",
"custom_setting": {"nested": True},
},
}
results = list(graph.stream({"messages": []}, config, stream_mode="messages"))
assert len(results) == 1
_, metadata = results[0]
# propagated keys
assert metadata["thread_id"] == "th-123"
assert metadata["checkpoint_id"] == "ckpt-1"
assert metadata["checkpoint_ns"] == "ns-1"
assert metadata["task_id"] == "task-1"
assert metadata["run_id"] == "run-456"
assert metadata["assistant_id"] == "asst-789"
assert metadata["graph_id"] == "graph-0"
# These are only present in trace metadata by default as of langgraph 1.2
# assert metadata["model"] == "gpt-4o"
# assert metadata["user_id"] == "uid-1"
# assert metadata["cron_id"] == "cron-1"
# assert metadata["langgraph_auth_user_id"] == "user-1"
# non-allowlisted keys must not appear
assert "some_api_key" not in metadata
assert "custom_setting" not in metadata
def test_stream_mode_messages_command() -> None:
from langchain_core.messages import HumanMessage
+4 -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
@@ -2086,11 +2085,8 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
)
]
# +2: one fork checkpoint from time travel, one from the new execution
assert len(new_history) == len(history) + 2
# new_history[0] is the new execution result, new_history[1] is the fork
assert new_history[1].metadata["source"] == "fork"
for original, new in zip(history, new_history[2:]):
assert len(new_history) == len(history) + 1
for original, new in zip(history, new_history[1:]):
assert original.values == new.values
assert original.next == new.next
assert original.metadata["step"] == new.metadata["step"]
@@ -2098,7 +2094,7 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
def _get_tasks(hist: list, start: int):
return [h.tasks for h in hist[start:]]
assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
assert _get_tasks(new_history, 1) == _get_tasks(history, 0)
async def test_cond_edge_after_send() -> None:
@@ -7545,6 +7541,7 @@ async def test_tags_stream_mode_messages() -> None:
"langgraph_path": ("__pregel_pull", "call_model"),
"langgraph_checkpoint_ns": AnyStr("call_model:"),
"checkpoint_ns": AnyStr("call_model:"),
"_type": "generic-fake-chat-model",
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
@@ -7554,67 +7551,6 @@ async def test_tags_stream_mode_messages() -> None:
]
async def test_configurable_propagates_to_stream_metadata() -> None:
"""Regression: thread_id, run_id, assistant_id, graph_id,
and langgraph_auth_user_id from configurable must appear
in stream_mode='messages' metadata."""
def my_node(state):
return {"messages": HumanMessage(content="hello")}
graph = (
StateGraph(MessagesState)
.add_node("my_node", my_node)
.add_edge(START, "my_node")
.compile()
)
config = {
"configurable": {
"thread_id": "th-123",
"checkpoint_id": "ckpt-1",
"checkpoint_ns": "ns-1",
"task_id": "task-1",
"run_id": "run-456",
"assistant_id": "asst-789",
"graph_id": "graph-0",
"model": "gpt-4o",
"user_id": "uid-1",
"cron_id": "cron-1",
"langgraph_auth_user_id": "user-1",
# these should NOT be propagated into metadata
"some_api_key": "secret",
"custom_setting": {"nested": True},
},
}
results = [
chunk
async for chunk in graph.astream(
{"messages": []}, config, stream_mode="messages"
)
]
assert len(results) == 1
_, metadata = results[0]
# propagated keys
assert metadata["thread_id"] == "th-123"
assert metadata["checkpoint_id"] == "ckpt-1"
assert metadata["checkpoint_ns"] == "ns-1"
assert metadata["task_id"] == "task-1"
assert metadata["run_id"] == "run-456"
assert metadata["assistant_id"] == "asst-789"
assert metadata["graph_id"] == "graph-0"
# These will only be traced as of langgraph 1.2 and not present by default in
# metadata
# assert metadata["model"] == "gpt-4o"
# assert metadata["user_id"] == "uid-1"
# assert metadata["cron_id"] == "cron-1"
# assert metadata["langgraph_auth_user_id"] == "user-1"
# non-allowlisted keys must not appear
assert "some_api_key" not in metadata
assert "custom_setting" not in metadata
async def test_stream_mode_messages_command() -> None:
from langchain_core.messages import HumanMessage
+7 -10
View File
@@ -501,13 +501,13 @@ async def test_execution_info_populated_in_graph_async() -> None:
assert isinstance(info.node_first_attempt_time, float)
def test_server_info_from_configurable() -> None:
"""server_info is built from assistant_id/graph_id in config configurable."""
def test_server_info_from_metadata() -> None:
"""server_info is built from assistant_id/graph_id in config metadata."""
captured: dict[str, Any] = {}
compiled = _make_capture_graph(captured)
compiled.invoke(
{"message": "hi"},
config={"configurable": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
config={"metadata": {"assistant_id": "asst-abc", "graph_id": "my-graph"}},
)
si = captured["server_info"]
assert si is not None
@@ -516,8 +516,8 @@ def test_server_info_from_configurable() -> None:
assert si.user is None
def test_server_info_none_without_configurable() -> None:
"""server_info is None when no assistant_id/graph_id in configurable."""
def test_server_info_none_without_metadata() -> None:
"""server_info is None when no assistant_id/graph_id in metadata."""
captured: dict[str, Any] = {}
compiled = _make_capture_graph(captured)
compiled.invoke({"message": "hi"})
@@ -579,11 +579,8 @@ def test_server_info_user_from_auth_user() -> None:
compiled.invoke(
{"message": "hi"},
config={
"configurable": {
"langgraph_auth_user": proxy,
"assistant_id": "asst-proxy",
"graph_id": "graph-proxy",
},
"configurable": {"langgraph_auth_user": proxy},
"metadata": {"assistant_id": "asst-proxy", "graph_id": "graph-proxy"},
},
)
si = captured["server_info"]
+7 -727
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(
@@ -972,290 +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_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:
@@ -1692,321 +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:
@@ -3000,16 +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)
@@ -3017,7 +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",
}
+65 -66
View File
@@ -1,5 +1,5 @@
version = 1
revision = 2
revision = 3
requires-python = ">=3.10"
resolution-markers = [
"python_full_version >= '3.14'",
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[[package]]
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version = "46.0.6"
source = { registry = "https://pypi.org/simple" }
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{ name = "cffi", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and platform_python_implementation != 'PyPy'" },
]
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sdist = { url = "https://files.pythonhosted.org/packages/a4/ba/04b1bd4218cbc58dc90ce967106d51582371b898690f3ae0402876cc4f34/cryptography-46.0.6.tar.gz", hash = "sha256:27550628a518c5c6c903d84f637fbecf287f6cb9ced3804838a1295dc1fd0759", size = 750542, upload-time = "2026-03-25T23:34:53.396Z" }
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[package.optional-dependencies]
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name = "pytest"
version = "9.0.3"
version = "9.0.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "colorama", marker = "sys_platform == 'win32'" },
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{ name = "pygments" },
{ name = "tomli", marker = "python_full_version < '3.11'" },
]
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View File
@@ -614,7 +614,6 @@ class _InjectedArgs:
store: str | None
runtime: str | None
all_injected_keys: set[str]
_optional_state_args: set[str]
class ToolNode(RunnableCallable):
@@ -1334,7 +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:
@@ -1362,20 +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:
@@ -1866,7 +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)
@@ -1881,9 +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
@@ -1900,5 +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,
)
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "1.0.10"
version = "1.0.9"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.10"
@@ -1,284 +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,
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
+14 -15
View File
@@ -1,5 +1,5 @@
version = 1
revision = 2
revision = 3
requires-python = ">=3.10"
[[package]]
@@ -249,7 +249,7 @@ wheels = [
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name = "langchain-core"
version = "1.3.0"
version = "1.2.25"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -261,14 +261,14 @@ dependencies = [
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{ name = "uuid-utils" },
]
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[[package]]
name = "langgraph"
version = "1.1.7"
version = "1.1.6"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -281,7 +281,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.0,<2" },
{ name = "langchain-core", specifier = ">=0.1" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "langgraph-prebuilt", editable = "." },
{ name = "langgraph-sdk", editable = "../sdk-py" },
@@ -352,7 +352,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.0.2"
version = "4.0.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -490,7 +490,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.0.10"
version = "1.0.9"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -619,7 +619,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.7.31"
version = "0.6.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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@@ -629,12 +629,11 @@ dependencies = [
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{ name = "uuid-utils" },
{ name = "xxhash" },
{ name = "zstandard" },
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