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Author SHA1 Message Date
Quanzheng LongandCursor 8da59aba37 chore: remove unnecessary missing-typed-dict-key suppression
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-08 09:49:57 -07:00
Quanzheng LongandCursor 44805588b6 docs: clarify get_delta_channel_keepset is a basic reference implementation
Make it clear that custom backends may override with a more efficient
version but the default works correctly for any saver.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-07 17:10:20 -07:00
Quanzheng LongandCursor 68f8893847 test(conformance): add migration case for delta_channel_history
Test that a pre-delta plain value in channel_values[ch] (from a thread
that used BinaryOperatorAggregate before switching to DeltaChannel) is
correctly treated as the seed and terminates the walk.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-07 17:09:10 -07:00
Quanzheng Long 4cf12f9500 rm 2026-05-07 12:13:35 -07:00
Quanzheng LongandCursor a8ab1b1638 fix: resolve ruff import sorting in conformance wrapper tests
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-07 11:26:40 -07:00
Quanzheng Long c78270c40f simp 2026-05-07 11:16:52 -07:00
Quanzheng LongandCursor 9dc68d6986 test: add delta-channel conformance wrappers for InMemory and SQLite savers
Runs the three new delta-channel conformance capabilities
(delta_channel_history, delta_channel_keepset, delta_channel_reconstruction)
against InMemorySaver and AsyncSqliteSaver. Guarded by importorskip so
they're skipped gracefully when checkpoint-conformance isn't installed.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-07 11:15:34 -07:00
Quanzheng Long d6c29f8157 simp 2026-05-07 11:14:51 -07:00
Quanzheng LongandCursor 4b3839af0f fix(conformance): lazy-import _DeltaSnapshot to avoid CI collection failure
Move _DeltaSnapshot imports from module level to function bodies so the
conformance test files can be collected even when the installed
langgraph-checkpoint version doesn't yet export the symbol.

Also fix get_delta_channel_keepset to check the target checkpoint's own
channel_values before walking the parent chain — if the target itself
has a snapshot, no walk is needed.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-07 11:07:39 -07:00
Quanzheng Long 569f2d2d14 done 2026-05-07 10:58:13 -07:00
Quanzheng Long 0d32281d5d dc 2026-05-07 10:17:24 -07:00
42 changed files with 671 additions and 1432 deletions
+2
View File
@@ -64,6 +64,8 @@ The suite tests **base** capabilities (required) and **extended** capabilities (
| `copy_thread` | no | `acopy_thread` |
| `prune` | no | `aprune` |
| `delta_channel_history` | no | `aget_delta_channel_history` |
| `delta_channel_keepset` | no | `aget_delta_channel_keepset` |
| `delta_channel_reconstruction` | no | `aput` |
Extended capabilities are detected by checking whether the method is overridden from `BaseCheckpointSaver`. If not overridden, those tests are skipped.
@@ -24,6 +24,8 @@ class Capability(str, Enum):
COPY_THREAD = "copy_thread"
PRUNE = "prune"
DELTA_CHANNEL_HISTORY = "delta_channel_history"
DELTA_CHANNEL_KEEPSET = "delta_channel_keepset"
DELTA_CHANNEL_RECONSTRUCTION = "delta_channel_reconstruction"
# Capabilities that every checkpointer must support.
@@ -44,6 +46,8 @@ EXTENDED_CAPABILITIES = frozenset(
Capability.COPY_THREAD,
Capability.PRUNE,
Capability.DELTA_CHANNEL_HISTORY,
Capability.DELTA_CHANNEL_KEEPSET,
Capability.DELTA_CHANNEL_RECONSTRUCTION,
}
)
@@ -60,6 +64,8 @@ _CAPABILITY_METHOD_MAP: dict[Capability, str] = {
Capability.COPY_THREAD: "acopy_thread",
Capability.PRUNE: "aprune",
Capability.DELTA_CHANNEL_HISTORY: "aget_delta_channel_history",
Capability.DELTA_CHANNEL_KEEPSET: "aget_tuple",
Capability.DELTA_CHANNEL_RECONSTRUCTION: "aput",
}
@@ -12,6 +12,12 @@ from langgraph.checkpoint.conformance.spec.test_delete_thread import (
from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
run_delta_channel_history_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_keepset import (
run_delta_channel_keepset_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_reconstruction import (
run_delta_channel_reconstruction_tests,
)
from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
@@ -28,4 +34,6 @@ __all__ = [
"run_copy_thread_tests",
"run_prune_tests",
"run_delta_channel_history_tests",
"run_delta_channel_keepset_tests",
"run_delta_channel_reconstruction_tests",
]
@@ -0,0 +1,172 @@
"""DELTA_CHANNEL_KEEPSET capability tests — aget_delta_channel_keepset contract."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.spec._delta_fixtures import build_delta_chain
async def test_keepset_empty_channels_returns_target_only(
saver: BaseCheckpointSaver,
) -> None:
"""Empty channels → keep-set is just {target_id}."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=4
)
head = configs[-1]
keep = await saver.aget_delta_channel_keepset(config=head, channels=[])
head_id = head["configurable"]["checkpoint_id"]
assert keep == {head_id}, f"Expected only target, got {keep}"
async def test_keepset_snapshot_at_target(
saver: BaseCheckpointSaver,
) -> None:
"""When target itself has a snapshot, keep-set is just {target_id}."""
tid = str(uuid4())
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="ch",
snapshots_at_steps=[0, 3],
total_steps=4,
)
head = configs[3]
keep = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
head_id = head["configurable"]["checkpoint_id"]
assert keep == {head_id}, f"Snapshot at target should yield only target, got {keep}"
async def test_keepset_snapshot_n_back(
saver: BaseCheckpointSaver,
) -> None:
"""Snapshot N steps back → target + intermediates + snapshot ancestor."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=5
)
head = configs[-1]
keep = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
expected_ids = {c["configurable"]["checkpoint_id"] for c in configs}
assert keep == expected_ids, f"Expected all ancestors, got {keep}"
async def test_keepset_multi_channel_union(
saver: BaseCheckpointSaver,
) -> None:
"""Multi-channel keep-set is the union (max chain per channel)."""
tid = str(uuid4())
from langgraph.checkpoint.base import Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from langgraph.checkpoint.conformance.test_utils import generate_metadata
configs: list = []
parent_cfg = None
for step in range(6):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cv: dict = {}
cvs: dict = {}
# Channel "a" has snapshot at step 3 (recent)
if step == 3:
cv["a"] = _DeltaSnapshot("snap_a")
cvs["a"] = step + 1
# Channel "b" has snapshot at step 1 (further back)
if step == 1:
cv["b"] = _DeltaSnapshot("snap_b")
cvs["b"] = step + 1
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
ts="",
channel_values=cv,
channel_versions=cvs,
versions_seen={},
updated_channels=None,
)
parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
configs.append(parent_cfg)
head = configs[-1]
keep = await saver.aget_delta_channel_keepset(config=head, channels=["a", "b"])
# Union: b needs back to step 1, so steps 1..5 (all except step 0) plus head
expected_ids = {c["configurable"]["checkpoint_id"] for c in configs[1:]}
expected_ids.add(head["configurable"]["checkpoint_id"])
assert keep == expected_ids, f"Expected union, got {keep} vs {expected_ids}"
async def test_keepset_walk_to_root(
saver: BaseCheckpointSaver,
) -> None:
"""No snapshot anywhere → entire chain to root is in keep-set."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[], total_steps=4
)
head = configs[-1]
keep = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
all_ids = {c["configurable"]["checkpoint_id"] for c in configs}
assert keep == all_ids, f"Expected full chain, got {keep}"
async def test_keepset_deterministic(
saver: BaseCheckpointSaver,
) -> None:
"""Same inputs return identical sets."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=5
)
head = configs[-1]
keep1 = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
keep2 = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
assert keep1 == keep2
ALL_DELTA_CHANNEL_KEEPSET_TESTS = [
test_keepset_empty_channels_returns_target_only,
test_keepset_snapshot_at_target,
test_keepset_snapshot_n_back,
test_keepset_multi_channel_union,
test_keepset_walk_to_root,
test_keepset_deterministic,
]
async def run_delta_channel_keepset_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all delta_channel_keepset tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_DELTA_CHANNEL_KEEPSET_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("delta_channel_keepset", test_fn.__name__, True, None)
except Exception:
failed += 1
msg = f"{test_fn.__name__}: {traceback.format_exc()}"
failures.append(msg)
if on_test_result:
on_test_result(
"delta_channel_keepset",
test_fn.__name__,
False,
traceback.format_exc(),
)
return passed, failed, failures
@@ -0,0 +1,164 @@
"""DELTA_CHANNEL_RECONSTRUCTION capability tests — end-to-end round-trip.
Exercises: aput + aput_writes + aget_delta_channel_history + reconstruction.
This catches the most common silent-corruption mode: failing to round-trip
`_DeltaSnapshot` blobs through serialization.
NOTE: This test does NOT import from `langgraph` (which is not a dependency
of checkpoint-conformance). Instead it inlines a minimal reconstruction
equivalent: seed + fold writes through a simple list-append reducer.
"""
from __future__ import annotations
import traceback
from collections.abc import Callable
from typing import Any
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.spec._delta_fixtures import build_delta_chain
def _reconstruct(seed: Any, writes: list) -> list:
"""Minimal DeltaChannel reconstruction: list-append reducer.
Mirrors DeltaChannel.from_checkpoint(seed) + replay_writes(writes).
"""
from langgraph.checkpoint.serde.types import _DeltaSnapshot
if seed is None:
base: list = []
elif isinstance(seed, _DeltaSnapshot):
base = list(seed.value)
else:
base = list(seed)
for _task_id, _ch, value in writes:
base = base + value
return base
async def test_reconstruction_basic(
saver: BaseCheckpointSaver,
) -> None:
"""Reconstruct delta channel value from history matches expected."""
tid = str(uuid4())
# 5 steps: snapshot at 0 (value=[0]), writes at 1,2,3,4.
# Head = step 4. Walk from parent (step 3) collects writes 1,2,3.
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="msgs",
snapshots_at_steps=[0],
total_steps=5,
write_value_fn=lambda step: [step],
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["msgs"])
history = result["msgs"]
seed = history.get("seed")
reconstructed = _reconstruct(seed, history["writes"])
# seed=[0] from step 0, writes from steps 1,2,3
expected = [0] + [1] + [2] + [3]
assert reconstructed == expected, (
f"Reconstructed {reconstructed} != expected {expected}"
)
async def test_reconstruction_mid_chain_snapshot(
saver: BaseCheckpointSaver,
) -> None:
"""Reconstruction works when snapshot is mid-chain."""
tid = str(uuid4())
# 6 steps: snapshots at 0 and 3, writes at 1,2,4,5.
# Head = step 5. Walk from step 4 stops at step 3 (snapshot).
# Collects writes from step 4.
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="msgs",
snapshots_at_steps=[0, 3],
total_steps=6,
write_value_fn=lambda step: [step],
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["msgs"])
history = result["msgs"]
seed = history.get("seed")
reconstructed = _reconstruct(seed, history["writes"])
# Snapshot at step 3 = [3], write from step 4
expected = [3] + [4]
assert reconstructed == expected, (
f"Reconstructed {reconstructed} != expected {expected}"
)
async def test_reconstruction_no_snapshot(
saver: BaseCheckpointSaver,
) -> None:
"""Reconstruction from root (no snapshot) gives all writes accumulated."""
tid = str(uuid4())
# 4 steps: no snapshot, writes at 0,1,2,3.
# Head = step 3. Walk from step 2 collects writes 0,1,2.
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="msgs",
snapshots_at_steps=[],
total_steps=4,
write_value_fn=lambda step: [step],
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["msgs"])
history = result["msgs"]
seed = history.get("seed")
reconstructed = _reconstruct(seed, history["writes"])
# No seed → start empty, writes from steps 0,1,2
expected = [0] + [1] + [2]
assert reconstructed == expected, (
f"Reconstructed {reconstructed} != expected {expected}"
)
ALL_DELTA_CHANNEL_RECONSTRUCTION_TESTS = [
test_reconstruction_basic,
test_reconstruction_mid_chain_snapshot,
test_reconstruction_no_snapshot,
]
async def run_delta_channel_reconstruction_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all reconstruction tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_DELTA_CHANNEL_RECONSTRUCTION_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result(
"delta_channel_reconstruction", test_fn.__name__, True, None
)
except Exception:
failed += 1
msg = f"{test_fn.__name__}: {traceback.format_exc()}"
failures.append(msg)
if on_test_result:
on_test_result(
"delta_channel_reconstruction",
test_fn.__name__,
False,
traceback.format_exc(),
)
return passed, failed, failures
@@ -22,6 +22,12 @@ from langgraph.checkpoint.conformance.spec.test_delete_thread import (
from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
run_delta_channel_history_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_keepset import (
run_delta_channel_keepset_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_reconstruction import (
run_delta_channel_reconstruction_tests,
)
from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
@@ -39,6 +45,8 @@ _RUNNERS = {
Capability.COPY_THREAD: run_copy_thread_tests,
Capability.PRUNE: run_prune_tests,
Capability.DELTA_CHANNEL_HISTORY: run_delta_channel_history_tests,
Capability.DELTA_CHANNEL_KEEPSET: run_delta_channel_keepset_tests,
Capability.DELTA_CHANNEL_RECONSTRUCTION: run_delta_channel_reconstruction_tests,
}
+1 -1
View File
@@ -279,7 +279,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.1.0"
version = "3.1.0a4"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"orjson>=3.11.5",
"psycopg>=3.2.0",
"psycopg-pool>=3.2.0",
+8 -8
View File
@@ -244,7 +244,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -257,9 +257,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
sdist = { url = "https://files.pythonhosted.org/packages/a8/03/7219502e8ca728d65eb44d7a3eb60239230742a70dbfc9241b9bfd61c4ab/langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7", size = 911813, upload-time = "2026-04-24T15:49:23.699Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/1f/01/4771b7ab2af1d1aba5b710bd8f13d9225c609425214b357590a17b01be77/langchain_core-1.3.3-py3-none-any.whl", hash = "sha256:18aae8506f37da7f74398492279a7d6efcee4f8e23c4c41c7af080eeb7ef7bd1", size = 543857, upload-time = "2026-05-05T19:02:34.52Z" },
{ url = "https://files.pythonhosted.org/packages/7d/d5/8fa4431007cbb7cfed7590f4d6a5dea3ad724f4174d248f6642ef5ce7d05/langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274", size = 542390, upload-time = "2026-04-24T15:49:21.991Z" },
]
[[package]]
@@ -276,7 +276,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -324,7 +324,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.0"
version = "3.1.0a4"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -1234,11 +1234,11 @@ wheels = [
[[package]]
name = "urllib3"
version = "2.7.0"
version = "2.6.3"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
{ url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
]
[[package]]
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
description = "Library with a SQLite implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"aiosqlite>=0.20",
"sqlite-vec>=0.1.6",
]
@@ -27,6 +27,8 @@ async def test_delta_channel_conformance():
sqlite_saver,
capabilities={
"delta_channel_history",
"delta_channel_keepset",
"delta_channel_reconstruction",
},
)
for cap, result in report.results.items():
+8 -21
View File
@@ -253,11 +253,10 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.2.28"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
{ name = "langchain-protocol" },
{ name = "langsmith" },
{ name = "packaging" },
{ name = "pydantic" },
@@ -266,26 +265,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
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version = "0.0.15"
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[[package]]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -333,7 +320,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
source = { editable = "." }
dependencies = [
{ name = "aiosqlite" },
@@ -1161,11 +1148,11 @@ wheels = [
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name = "urllib3"
version = "2.7.0"
version = "2.6.3"
source = { registry = "https://pypi.org/simple" }
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[[package]]
@@ -60,29 +60,20 @@ class CheckpointMetadata(TypedDict, total=False):
"""
run_id: str
"""The ID of the run that created this checkpoint."""
counters_since_delta_snapshot: dict[str, tuple[int, int]]
"""Per-channel counters since the last `_DeltaSnapshot` was written.
delta_updates_since_snapshot: dict[str, int]
"""Per-channel update count since the last `_DeltaSnapshot` was written.
!!! warning "Beta"
This metadata field backs `DeltaChannel` (beta). The key name and
contents may change while the delta-channel design stabilizes.
Maps channel name -> `(updates, supersteps)`:
- index 0 (`updates`): number of supersteps that wrote to this channel
since its last snapshot blob.
- index 1 (`supersteps`): total supersteps elapsed since this channel's
last snapshot, regardless of whether the channel was written.
A snapshot fires when EITHER `updates >= ch.snapshot_frequency` OR
`supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` (system-wide bound,
default 5000, env `LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`).
The supersteps bound prevents unbounded ancestor walks on threads where
a delta channel exists but is no longer being updated.
Absent on threads that don't use delta channels. Persisted as a
2-element list in JSON (no native tuple).
Maps channel name → number of supersteps that wrote to this channel
since its last snapshot blob. Used by `pregel.create_checkpoint` to
decide when to write the next snapshot (when the count reaches the
channel's `snapshot_frequency`, snapshot fires and the count resets
to 0). Absent on threads that don't use delta channels. Version-format
independent — works for int, float, and string version schemes.
"""
@@ -689,6 +680,123 @@ class BaseCheckpointSaver(Generic[V]):
result[ch] = entry
return result
def get_delta_channel_keepset(
self,
*,
config: RunnableConfig,
channels: Sequence[str],
) -> set[str]:
"""Return ancestor checkpoint_ids that must survive deletion.
!!! warning "Beta"
This method is part of the `DeltaChannel` support surface and is
in beta. The signature may change while the delta-channel design
stabilizes.
Walks the parent chain from `config` backward, collecting visited
checkpoint_ids (inclusive of the target), and terminates per-channel
when that channel has a populated `channel_values[ch]` (a
`_DeltaSnapshot` blob or a pre-migration plain value). The returned
set is the minimum keep-set: every checkpoint_id whose removal would
break reconstruction of the listed channels at `config`.
Pass `channels=[]` to return just `{config.checkpoint_id}` — useful
for graphs that don't use `DeltaChannel`.
Compose this into custom `prune` / `delete_for_runs` / `copy_thread`::
keep = saver.get_delta_channel_keepset(
config=head_config, channels=delta_channels,
)
delete_rows_not_in(keep)
Note:
The default implementation here uses repeated `get_tuple` calls
to walk the parent chain. This is a basic reference implementation
suitable for low-frequency maintenance operations (prune, etc.).
Custom checkpointer backends may override with a more efficient
version tailored to their data model (e.g. a single SQL query
with a recursive CTE), but it is not required — the default works
correctly for any saver that implements `get_tuple`.
Args:
config: Configuration identifying the target checkpoint.
channels: Channel names whose delta history must be preserved.
Empty sequence means only the target checkpoint_id is kept.
Returns:
Set of checkpoint_ids that must not be deleted.
"""
target_tuple = self.get_tuple(config)
if target_tuple is None:
return set()
target_id = target_tuple.config["configurable"]["checkpoint_id"]
keep: set[str] = {target_id}
if not channels:
return keep
remaining: set[str] = set(channels)
for ch in list(remaining):
if ch in target_tuple.checkpoint["channel_values"]:
remaining.discard(ch)
if not remaining:
return keep
cursor_config: RunnableConfig | None = target_tuple.parent_config
while cursor_config is not None and remaining:
tup = self.get_tuple(cursor_config)
if tup is None:
break
cid = tup.config["configurable"]["checkpoint_id"]
keep.add(cid)
for ch in list(remaining):
if ch in tup.checkpoint["channel_values"]:
remaining.discard(ch)
if not remaining:
break
cursor_config = tup.parent_config
return keep
async def aget_delta_channel_keepset(
self,
*,
config: RunnableConfig,
channels: Sequence[str],
) -> set[str]:
"""Async version of `get_delta_channel_keepset`.
!!! warning "Beta"
This method is part of the `DeltaChannel` support surface and is
in beta. See `get_delta_channel_keepset` for full documentation.
"""
target_tuple = await self.aget_tuple(config)
if target_tuple is None:
return set()
target_id = target_tuple.config["configurable"]["checkpoint_id"]
keep: set[str] = {target_id}
if not channels:
return keep
remaining: set[str] = set(channels)
for ch in list(remaining):
if ch in target_tuple.checkpoint["channel_values"]:
remaining.discard(ch)
if not remaining:
return keep
cursor_config: RunnableConfig | None = target_tuple.parent_config
while cursor_config is not None and remaining:
tup = await self.aget_tuple(cursor_config)
if tup is None:
break
cid = tup.config["configurable"]["checkpoint_id"]
keep.add(cid)
for ch in list(remaining):
if ch in tup.checkpoint["channel_values"]:
remaining.discard(ch)
if not remaining:
break
cursor_config = tup.parent_config
return keep
def get_next_version(self, current: V | None, channel: None) -> V:
"""Generate the next version ID for a channel.
@@ -44,7 +44,7 @@ if TYPE_CHECKING:
AllowedMsgpackModules,
)
LC_REVIVER = Reviver(allowed_objects="core")
LC_REVIVER = Reviver()
EMPTY_BYTES = b""
logger = logging.getLogger(__name__)
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
@@ -25,6 +25,8 @@ async def test_delta_channel_conformance():
mem_saver,
capabilities={
"delta_channel_history",
"delta_channel_keepset",
"delta_channel_reconstruction",
},
)
for cap, result in report.results.items():
+7 -7
View File
@@ -268,7 +268,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -281,9 +281,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
@@ -300,7 +300,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -1463,11 +1463,11 @@ wheels = [
[[package]]
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version = "2.7.0"
version = "2.6.3"
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[[package]]
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.26"
__version__ = "0.4.25"
+2 -20
View File
@@ -35,12 +35,6 @@ DISALLOWED_BUILD_COMMAND_CHARS = [
# This blocks background execution (cmd &) while allowing command
# chaining (cmd1 && cmd2) which is common in build commands.
_SINGLE_AMPERSAND_RE = re.compile(r"(?<!&)&(?:&&)*(?!&)")
_API_VERSION_PATTERN = re.compile(
r"^(?P<major>\d+)"
r"(?:\.(?P<minor>\d+))?"
r"(?:\.(?P<patch>\d+))?"
r"(?:(?:\.|)(?:[A-Za-z][0-9A-Za-z]*))?$"
)
def has_disallowed_build_command_content(command: str) -> bool:
@@ -129,18 +123,6 @@ def _parse_node_version(version_str: str) -> int:
) from None
def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
"""Parse an API version into numeric components.
Supports optional prerelease suffixes, e.g. `0.9.0rc1`.
"""
version_core = version_str.split("-", 1)[0]
match = _API_VERSION_PATTERN.fullmatch(version_core)
if not match:
raise ValueError("Version must be major or major.minor or major.minor.patch.")
return tuple(int(part) for part in match.groups() if part is not None)
def _is_node_graph(spec: str | dict) -> bool:
"""Check if a graph is a Node.js graph based on the file extension."""
if isinstance(spec, dict):
@@ -194,12 +176,12 @@ def validate_config(config: Config) -> Config:
)
if api_version:
try:
parts = _parse_api_version_parts(api_version)
parts = tuple(map(int, api_version.split("-")[0].split(".")))
if len(parts) > 3:
raise ValueError(
"Version must be major or major.minor or major.minor.patch."
)
except (TypeError, ValueError):
except TypeError:
raise click.UsageError(
f"Invalid version format: {api_version}.\n\n"
"Pin to a minor version, e.g.:\n"
-17
View File
@@ -2944,23 +2944,6 @@ def test_docker_tag_with_api_version(in_config: bool):
assert tag == f"langchain/langgraph-server:{version}-py3.11"
@pytest.mark.parametrize("in_config", [False, True])
@pytest.mark.parametrize("version", ["0.9.0rc1", "0.9.0.dev1"])
def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
"""Test docker_tag with prerelease and dev api_version values."""
config = validate_config(
{
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.11"
def test_config_to_docker_with_api_version():
"""Test config_to_docker function with api_version parameter."""
+1 -1
View File
@@ -5,7 +5,7 @@ description = "uv workspace monorepo example for LangGraph CLI integration test"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=1.3.3",
"langchain-core>=0.2.14",
]
[tool.uv.workspace]
+5 -18
View File
@@ -21,7 +21,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.3" },
{ name = "langchain-core", specifier = ">=0.2.14" },
{ name = "langgraph", specifier = ">=0.6.0,<2" },
{ name = "shared", editable = "libs/shared" },
]
@@ -215,11 +215,10 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.2.28"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
{ name = "langchain-protocol" },
{ name = "langsmith" },
{ name = "packaging" },
{ name = "pydantic" },
@@ -228,21 +227,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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version = "0.0.15"
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{ name = "typing-extensions" },
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[[package]]
@@ -724,7 +711,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.3" },
{ name = "langchain-core", specifier = ">=0.2.14" },
{ name = "langgraph", specifier = ">=0.6.0,<2" },
]
+1 -1
View File
@@ -5,7 +5,7 @@ description = "Simple single-package uv example for LangGraph CLI integration te
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=1.3.3",
"langchain-core>=0.2.14",
]
[build-system]
+4 -17
View File
@@ -191,11 +191,10 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.2.28"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
{ name = "langchain-protocol" },
{ name = "langsmith" },
{ name = "packaging" },
{ name = "pydantic" },
@@ -204,21 +203,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
@@ -627,7 +614,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.3" },
{ name = "langchain-core", specifier = ">=0.2.14" },
{ name = "langgraph", specifier = ">=0.6.0,<2" },
]
+6 -19
View File
@@ -946,11 +946,10 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.3.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch", marker = "python_full_version >= '3.11'" },
{ name = "langchain-protocol", marker = "python_full_version >= '3.11'" },
{ name = "langsmith", marker = "python_full_version >= '3.11'" },
{ name = "packaging", marker = "python_full_version >= '3.11'" },
{ name = "pydantic", marker = "python_full_version >= '3.11'" },
@@ -959,21 +958,9 @@ dependencies = [
{ name = "typing-extensions", marker = "python_full_version >= '3.11'" },
{ name = "uuid-utils", marker = "python_full_version >= '3.11'" },
]
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version = "0.0.15"
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@@ -2320,11 +2307,11 @@ wheels = [
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[[package]]
@@ -29,9 +29,6 @@ from langgraph._internal._constants import (
)
DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "10007"))
DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT = int(
getenv("LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT", "5000")
)
def recast_checkpoint_ns(ns: str) -> str:
+4 -7
View File
@@ -32,7 +32,7 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
change in future releases. Threads written with `DeltaChannel` today
are expected to remain readable, but the surrounding contract
(`BaseCheckpointSaver.get_delta_channel_history`, the
`_DeltaSnapshot` blob shape, the `counters_since_delta_snapshot`
`_DeltaSnapshot` blob shape, the `delta_updates_since_snapshot`
metadata field) is not yet stable.
The reducer receives the current accumulated value and a batch of writes
@@ -47,12 +47,9 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
This lets LangGraph replay checkpointed writes in larger batches than they
were originally produced without changing reconstructed state.
Snapshot cadence is driven by two counters: per-channel update count and
total supersteps since last snapshot. `create_checkpoint` writes a full
`_DeltaSnapshot` blob when EITHER the update count reaches
`snapshot_frequency` OR the supersteps count reaches the system-wide
`DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` bound (default 5000), bounding
replay depth even for channels that stop receiving writes.
Snapshot cadence is driven by per-channel update count. `create_checkpoint`
writes a full `_DeltaSnapshot` blob every `snapshot_frequency` updates to
this channel, bounding replay depth.
Parameters:
reducer: `(state, list[writes]) -> new_state`. Must be deterministic
+2 -133
View File
@@ -6,7 +6,7 @@ import typing
import warnings
from collections import defaultdict
from collections.abc import Awaitable, Callable, Hashable, Sequence
from dataclasses import dataclass, is_dataclass
from dataclasses import is_dataclass
from datetime import timedelta
from functools import partial
from inspect import isclass, isfunction, ismethod, signature
@@ -95,17 +95,6 @@ __all__ = ("StateGraph", "CompiledStateGraph")
logger = logging.getLogger(__name__)
_CHANNEL_BRANCH_TO = "branch:to:{}"
_DEFAULT_ERROR_HANDLER_NODE = "__default_error_handler__"
@dataclass(slots=True)
class _NodeDefaults:
"""Default node policies applied to every node at compile time."""
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None
cache_policy: CachePolicy | None = None
error_handler: StateNode[Any, Any] | None = None
timeout: TimeoutPolicy | None = None
def _warn_invalid_state_schema(schema: type[Any] | Any) -> None:
@@ -262,77 +251,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
self.output_schema = cast(type[OutputT], output_schema or state_schema)
self.context_schema = context_schema
self._node_defaults: _NodeDefaults = _NodeDefaults()
self._add_schema(self.state_schema)
self._add_schema(self.input_schema, allow_managed=False)
self._add_schema(self.output_schema, allow_managed=False)
def set_node_defaults(
self,
*,
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
cache_policy: CachePolicy | None = None,
error_handler: StateNode[Any, ContextT] | None = None,
timeout: float | timedelta | TimeoutPolicy | None = None,
) -> Self:
"""Set default node policies that apply to every node in this graph.
Per-node values passed to `add_node` always take precedence over these
defaults. Defaults are applied at `compile()` time. Policies set here
are **not** inherited by subgraphs.
`retry_policy` and `timeout` defaults apply to **all** nodes,
including error-handler nodes. `cache_policy` and `error_handler`
defaults only apply to regular nodes -- caching error-handler results
is unsafe, and handlers must never catch themselves.
Args:
retry_policy: Default retry policy for nodes that don't specify
their own via `add_node(..., retry_policy=...)`. Also applies
to error-handler nodes.
cache_policy: Default cache policy for nodes that don't specify
their own via `add_node(..., cache_policy=...)`. Does **not**
apply to error-handler nodes.
error_handler: Default error handler invoked when any regular node
raises and does not have its own `error_handler` set via
`add_node`. The handler is **not** invoked when an
error-handler node itself raises -- handler failures fail the
run.
timeout: Default timeout policy for nodes that don't specify their
own via `add_node(..., timeout=...)`. Also applies to
error-handler nodes. Accepts a `TimeoutPolicy`, a number of
seconds (`float`), or a `timedelta`.
Returns:
Self: The builder instance, for chaining.
Example:
```python
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(max_attempts=3),
error_handler=my_fallback_handler,
)
.add_node("a", node_a)
.add_node("b", node_b, retry_policy=custom_retry) # overrides default
.add_edge(START, "a")
.compile()
)
```
"""
defaults = self._node_defaults
if retry_policy is not None:
defaults.retry_policy = retry_policy
if cache_policy is not None:
defaults.cache_policy = cache_policy
if error_handler is not None:
defaults.error_handler = error_handler
if timeout is not None:
defaults.timeout = coerce_timeout_policy(timeout)
return self
@property
def _all_edges(self) -> set[tuple[str, str]]:
return self.edges | {
@@ -1271,63 +1193,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
key for key, val in self.channels.items() if not is_managed_value(val)
]
)
# Apply builder defaults to node specs. Per-node values always win.
# Error-handler routing and cache_policy are only assigned to regular
# nodes. Retry and timeout defaults also apply to error-handler nodes.
defaults = self._node_defaults
default_handler_name: str | None = None
if defaults.error_handler is not None:
if _DEFAULT_ERROR_HANDLER_NODE in self.nodes:
raise ValueError(
f"Auto-generated default error handler node "
f"`{_DEFAULT_ERROR_HANDLER_NODE}` already exists."
)
default_handler_name = _DEFAULT_ERROR_HANDLER_NODE
self.nodes[default_handler_name] = StateNodeSpec[Any, ContextT](
coerce_to_runnable(
defaults.error_handler, # type: ignore[arg-type]
name=default_handler_name,
trace=False,
),
metadata=None,
input_schema=self.state_schema,
retry_policy=None,
cache_policy=None,
is_error_handler=True,
)
# Apply builder defaults to node specs. Per-node values always win.
for spec in self.nodes.values():
# error_handler: regular nodes only — handlers must never
# catch themselves or other handlers.
if (
not spec.is_error_handler
and default_handler_name is not None
and spec.error_handler_node is None
):
spec.error_handler_node = default_handler_name
# retry: all nodes — handlers should be retried on transient
# failures just like regular nodes.
if defaults.retry_policy is not None and spec.retry_policy is None:
spec.retry_policy = defaults.retry_policy
# cache: regular nodes only — caching an error-handler result
# is unsafe because the input (failed-node state) may differ
# across failures even when the cache key matches.
if (
not spec.is_error_handler
and defaults.cache_policy is not None
and spec.cache_policy is None
):
spec.cache_policy = defaults.cache_policy
# timeout: all nodes — a stuck handler should be cancelled the
# same way a stuck regular node would be.
if defaults.timeout is not None and spec.timeout is None:
spec.timeout = defaults.timeout
node_error_handler_map = {
node_name: spec.error_handler_node
for node_name, spec in self.nodes.items()
if not spec.is_error_handler and spec.error_handler_node is not None
if spec.error_handler_node is not None
}
compiled = CompiledStateGraph[StateT, ContextT, InputT, OutputT](
+26 -17
View File
@@ -8,11 +8,11 @@ from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
Checkpoint,
CheckpointMetadata,
)
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from langgraph._internal._config import DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
from langgraph._internal._typing import MISSING
from langgraph.channels.base import BaseChannel
from langgraph.channels.delta import DeltaChannel
@@ -36,26 +36,21 @@ def empty_checkpoint() -> Checkpoint:
def delta_channels_to_snapshot(
channels: Mapping[str, BaseChannel],
counters_since_delta_snapshot: Mapping[str, tuple[int, int]],
counts: Mapping[str, int],
) -> set[str]:
"""Return the set of DeltaChannel names that should snapshot now.
A channel snapshots when EITHER its accumulated update count reaches
`snapshot_frequency` OR the total supersteps since its last snapshot
reaches `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`. This is a pure
A channel snapshots when its accumulated update count (since the last
snapshot) reaches or exceeds `snapshot_frequency`. This is a pure
predicate no mutation.
"""
result: set[str] = set()
for name, ch in channels.items():
if not isinstance(ch, DeltaChannel) or not ch.is_available():
continue
updates, supersteps = counters_since_delta_snapshot.get(name, (0, 0))
if (
updates >= ch.snapshot_frequency
or supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
):
result.add(name)
return result
return {
name
for name, ch in channels.items()
if isinstance(ch, DeltaChannel)
and ch.is_available()
and counts.get(name, 0) >= ch.snapshot_frequency
}
def create_checkpoint(
@@ -74,7 +69,7 @@ def create_checkpoint(
is written into `channel_values[k]`. Other delta channels are omitted
from `channel_values` the ancestor walk reconstructs their state
from `checkpoint_writes`. Callers compute the set via
`delta_channels_to_snapshot(channels, counters)`; defaults to empty
`delta_channels_to_snapshot(channels, counts)`; defaults to empty
(no snapshots) when not provided.
"""
ts = datetime.now(timezone.utc).isoformat()
@@ -236,3 +231,17 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
updated_channels=checkpoint.get("updated_channels", None),
)
def read_delta_updates_since_snapshot(
metadata: CheckpointMetadata | None,
) -> dict[str, int]:
"""Read the per-channel update counter from checkpoint metadata.
Returns an empty dict for missing/None metadata; the dict is
`total=False` on `CheckpointMetadata`, so absence means "no prior
delta-channel activity tracked."
"""
if not metadata:
return {}
return dict(metadata.get("delta_updates_since_snapshot", {}) or {})
+40 -136
View File
@@ -203,12 +203,6 @@ class PregelLoop:
# `__enter__`; stays `None` only when no checkpointer.
_delta_write_futs: list[Any] | None = None
# Same pattern as `_delta_write_futs` but for error-handler writes.
# When `put_writes` persists an ERROR_SOURCE_NODE marker, the future is
# appended here. `schedule_error_handler` / `aschedule_error_handler`
# drain this list so the write is durable before the handler starts.
_error_handler_write_futs: list[Any] | None = None
# Exit-mode accumulator: every delta-channel write produced during this
# run (input writes from `_first` + per-superstep writes captured in
# `after_tick`). At exit, `_put_exit_delta_writes` filters out channels
@@ -480,13 +474,6 @@ class PregelLoop:
isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
):
self._delta_write_futs.append(fut)
# ERROR_SOURCE_NODE is only appended by commit() when the task
# has an error handler (_should_route_to_error_handler), so this
# check naturally limits future collection to those tasks.
if self._error_handler_write_futs is not None and any(
c == ERROR_SOURCE_NODE for c, _ in writes
):
self._error_handler_write_futs.append(fut)
# output writes
if hasattr(self, "tasks"):
self.output_writes(task_id, writes)
@@ -566,7 +553,7 @@ class PregelLoop:
self.tasks[pushed.id] = pushed
# match any pending writes to the new task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({pushed.id: pushed})
self._match_writes({pushed.id: pushed})
# return the new task, to be started if not run before
return pushed
@@ -644,8 +631,7 @@ class PregelLoop:
# if there are pending writes from a previous loop, apply them
if not self.is_replaying and self.checkpoint_pending_writes:
self._reapply_writes_to_succeeded_nodes(self.tasks)
self._resume_error_handlers_if_applicable()
self._match_writes(self.tasks)
# before execution, check if we should interrupt
if self.interrupt_before and should_interrupt(
@@ -712,88 +698,13 @@ class PregelLoop:
# private
def _reapply_writes_to_succeeded_nodes(
self, tasks: Mapping[str, PregelExecutableTask]
) -> None:
"""Restore successful channel writes from checkpoint to in-memory tasks.
Skips control signals (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME)
so that failed/interrupted tasks remain with empty writes and will be
re-executed (or routed to error handlers) by the runner.
"""
def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
for tid, k, v in self.checkpoint_pending_writes:
if k in (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME):
continue
if task := tasks.get(tid):
task.writes.append((k, v))
def _resume_error_handlers_if_applicable(self) -> None:
"""On resume, schedule error handlers for tasks that failed in a prior run.
Called right after ``_reapply_writes_to_succeeded_nodes`` during ``tick()``.
At that point, ``_reapply_writes_to_succeeded_nodes`` has already skipped
ERROR / ERROR_SOURCE_NODE writes, so a previously-failed task still has
empty ``writes``. Without intervention the runner (which executes only
tasks where ``not t.writes``) would re-run the original node.
This method prevents that re-execution for nodes that have an error
handler:
1. Scan ``checkpoint_pending_writes`` for ERROR_SOURCE_NODE markers
persisted by a prior ``commit()``. Each marker means "this task
already failed and was routed to an error handler".
2. For each such task, write ``(ERROR, error)`` into ``task.writes``
so the task is no longer empty the runner will skip it.
3. Prepare a fresh error-handler task and add it to ``self.tasks``.
Because the handler task starts with empty ``writes``, the runner
will pick it up and execute it.
"""
# Phase 1: collect task-ids that have ERROR_SOURCE_NODE + ERROR pairs.
failed: dict[str, BaseException] = {}
for tid, chan, val in self.checkpoint_pending_writes:
if chan == ERROR_SOURCE_NODE:
error = next(
(
v
for t, c, v in self.checkpoint_pending_writes
if t == tid and c == ERROR
),
None,
)
if error is not None:
failed[tid] = error
# Phase 2: mark originals as done, schedule handler tasks.
for task_id, error in failed.items():
task = self.tasks.get(task_id)
if task is None:
continue
handler_node = self.nodes[task.name].error_handler_node
if not handler_node:
continue
# Non-empty writes → runner's `not t.writes` filter skips this task.
task.writes.append((ERROR, error))
# The handler task starts with empty writes → runner will execute it.
handler_task = prepare_node_error_handler_task(
task,
handler_node_name=handler_node,
failed_error=error,
checkpoint=self.checkpoint,
pending_writes=self.checkpoint_pending_writes,
processes=self.nodes,
channels=self.channels,
managed=self.managed,
config=task.config,
step=self.step,
stop=self.stop,
store=self.store,
checkpointer=self.checkpointer,
manager=self.manager,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
)
if handler_task is not None:
self.tasks[handler_task.id] = handler_task
def _pending_interrupts(self) -> set[str]:
"""Return the set of interrupt ids that are pending without corresponding resume values."""
# mapping of task ids to interrupt ids
@@ -1067,41 +978,35 @@ class PregelLoop:
if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
# checkpoint already saved
return
# Per-delta-channel counter bookkeeping.
#
# Each delta channel tracks a (updates, supersteps) tuple:
# - `updates` increments only when the channel is written this step.
# - `supersteps` increments every superstep regardless.
# Per-delta-channel update bookkeeping.
#
# `_put_checkpoint` is called once per superstep with a fresh
# metadata dict (source="input"|"loop"|"fork") — those are the
# intermediate calls that bump counters. In exit mode,
# intermediate calls that bump the count by +1 for each delta
# channel touched that step. In exit mode,
# `_suppress_interrupt`(will rename to _on_loop_exit soon)
# additionally calls `_put_checkpoint(self.checkpoint_metadata)` AT
# EXIT to commit the final checkpoint — this runs *after* the last
# intermediate call already counted the last superstep. So the
# exit call must NOT bump again or it would double-count the last
# superstep.
# superstep. (Sync/async durability does not call `_put_checkpoint`
# at exit, so the issue only surfaces in exit mode. force_delta_snapshot
# used to mask this latent bug by resetting every count to 0.)
if not exiting:
prev_counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
prev_counts = dict(
self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
)
new_counters: dict[str, tuple[int, int]] = {}
updated = self.updated_channels or set()
for ch_name, ch in self.channels.items():
if not isinstance(ch, DeltaChannel):
continue
u, s = prev_counters.get(ch_name, (0, 0))
s += 1
if ch_name in updated:
u += 1
new_counters[ch_name] = (u, s)
new_counts = dict(prev_counts)
if self.updated_channels:
for ch_name in self.updated_channels:
if isinstance(self.channels.get(ch_name), DeltaChannel):
new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
metadata["step"] = self.step
metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
self.checkpoint_metadata = metadata
else:
new_counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
new_counts = dict(
self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
)
# do checkpoint?
do_checkpoint = self._checkpointer_put_after_previous is not None and (
@@ -1109,7 +1014,7 @@ class PregelLoop:
)
# create new checkpoint
channels_to_snapshot = (
delta_channels_to_snapshot(self.channels, new_counters)
delta_channels_to_snapshot(self.channels, new_counts)
if do_checkpoint
else set()
)
@@ -1125,12 +1030,11 @@ class PregelLoop:
channels_to_snapshot=channels_to_snapshot,
)
for k in channels_to_snapshot:
new_counters[k] = (0, 0)
non_zero = {k: v for k, v in new_counters.items() if v != (0, 0)}
if non_zero:
self.checkpoint_metadata["counters_since_delta_snapshot"] = non_zero
elif "counters_since_delta_snapshot" in self.checkpoint_metadata:
del self.checkpoint_metadata["counters_since_delta_snapshot"]
new_counts[k] = 0
if new_counts:
self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
del self.checkpoint_metadata["delta_updates_since_snapshot"]
# sanitize TASK channel in the checkpoint before saving (durability=="exit")
if TASKS in self.checkpoint["channel_values"] and any(
isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -1205,10 +1109,8 @@ class PregelLoop:
):
return
counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
)
channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
counts = self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
channels_to_snapshot = delta_channels_to_snapshot(self.channels, counts)
pending = [
(step, tid, ch, v)
@@ -1543,10 +1445,12 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
handler_node = self.nodes[failed_task.name].error_handler_node
if not handler_node:
return None
# ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
if self._error_handler_write_futs:
futs, self._error_handler_write_futs = self._error_handler_write_futs, []
concurrent.futures.wait(futs)
writes = list(failed_task.writes)
writes.append((ERROR_SOURCE_NODE, failed_task.name))
self.put_writes(
failed_task.id,
writes,
)
handler_task = prepare_node_error_handler_task(
failed_task,
handler_node_name=handler_node,
@@ -1569,7 +1473,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
return None
self.tasks[handler_task.id] = handler_task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
self._match_writes({handler_task.id: handler_task})
for task in self.match_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return handler_task
@@ -1651,7 +1555,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._exit_delta_writes = (
[] if self.durability == "exit" and self.checkpointer is not None else None
)
@@ -1797,10 +1700,12 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
handler_node = self.nodes[failed_task.name].error_handler_node
if not handler_node:
return None
# ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
if self._error_handler_write_futs:
futs, self._error_handler_write_futs = self._error_handler_write_futs, []
await asyncio.gather(*futs)
writes = list(failed_task.writes)
writes.append((ERROR_SOURCE_NODE, failed_task.name))
self.put_writes(
failed_task.id,
writes,
)
handler_task = prepare_node_error_handler_task(
failed_task,
handler_node_name=handler_node,
@@ -1823,7 +1728,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
return None
self.tasks[handler_task.id] = handler_task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
self._match_writes({handler_task.id: handler_task})
for task in await self.amatch_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return handler_task
@@ -1908,7 +1813,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._exit_delta_writes = (
[] if self.durability == "exit" and self.checkpointer is not None else None
)
+1 -2
View File
@@ -31,7 +31,6 @@ from langgraph._internal._constants import (
CONFIG_KEY_CALL,
CONFIG_KEY_SCRATCHPAD,
ERROR,
ERROR_SOURCE_NODE,
INTERRUPT,
NO_WRITES,
RESUME,
@@ -598,7 +597,7 @@ class PregelRunner:
if self._should_route_to_error_handler(task) and not isinstance(
exception, GraphBubbleUp
):
task.writes.append((ERROR_SOURCE_NODE, task.name))
# Mark early in commit path; loop-side routing may happen later.
self._handled_exception_ids.add(id(exception))
self.put_writes()(task.id, task.writes) # type: ignore[misc]
else:
+4 -4
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.0"
version = "1.2.0a7"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -24,10 +24,10 @@ classifiers = [
'Programming Language :: Python :: 3.13',
]
dependencies = [
"langchain-core>=1.4.0,<2",
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langchain-core>=1.4.0a2,<2",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"langgraph-sdk>=0.3.0,<0.4.0",
"langgraph-prebuilt>=1.1.0,<1.2.0",
"langgraph-prebuilt>=1.1.0a2,<1.2.0",
"xxhash>=3.5.0",
"pydantic>=2.7.4",
]
@@ -160,8 +160,8 @@ async def test_exit_resumed_run_sub_freq() -> None:
async def test_exit_count_parity_sync_vs_exit() -> None:
"""Sync and exit durability produce the same update count in
counters_since_delta_snapshot after an equivalent run."""
"""Sync and exit durability produce the same delta_updates_since_snapshot
after an equivalent run."""
for durability in ("sync", "exit"):
saver = InMemorySaver()
graph = _build_graph(saver)
@@ -175,13 +175,9 @@ async def test_exit_count_parity_sync_vs_exit() -> None:
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
updates, supersteps = counters.get("messages", (0, 0))
assert updates == 2, (
f"durability={durability}: expected updates=2, got {updates}"
)
assert supersteps >= 2, (
f"durability={durability}: expected supersteps>=2, got {supersteps}"
counts = head.metadata.get("delta_updates_since_snapshot", {})
assert counts.get("messages") == 2, (
f"durability={durability}: expected count=2, got {counts}"
)
@@ -200,9 +196,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
)
head = saver.get_tuple(config)
assert head is not None
counters1 = head.metadata.get("counters_since_delta_snapshot", {})
updates1 = counters1.get("messages", (0, 0))[0]
assert updates1 == 2
count1 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
assert count1 == 2
graph.invoke(
{"messages": [HumanMessage(content="m2", id="h2")]},
@@ -211,9 +206,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
)
head = saver.get_tuple(config)
assert head is not None
counters2 = head.metadata.get("counters_since_delta_snapshot", {})
updates2 = counters2.get("messages", (0, 0))[0]
assert updates2 == 0, f"Expected reset to 0 after snapshot, got {updates2}"
count2 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
assert count2 == 0, f"Expected reset to 0 after snapshot, got {count2}"
assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
@@ -290,7 +284,7 @@ async def test_exit_multi_run_replay_chain() -> None:
async def test_exit_metadata_round_trip() -> None:
"""K=5 consecutive exit runs with snapshot_frequency=5. Verify metadata
counters_since_delta_snapshot increments correctly across runs."""
delta_updates_since_snapshot increments correctly across runs."""
freq = 5
saver = InMemorySaver()
graph = _build_graph(saver, freq=freq)
@@ -304,16 +298,15 @@ async def test_exit_metadata_round_trip() -> None:
)
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
updates = counters.get("messages", (0, 0))[0]
count = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
cumulative = i * 2
if cumulative >= freq:
assert updates == 0 or updates == cumulative % freq or updates < freq, (
f"After run {i}: updates={updates} should have reset or be partial"
assert count == 0 or count == cumulative % freq or count < freq, (
f"After run {i}: count={count} should have reset or be partial"
)
else:
assert updates == cumulative, (
f"After run {i}: expected {cumulative}, got {updates}"
assert count == cumulative, (
f"After run {i}: expected {cumulative}, got {count}"
)
@@ -1,195 +0,0 @@
"""Tests for the supersteps-since-last-snapshot bound on DeltaChannel.
Validates that a delta channel which stops receiving writes is still
force-snapshotted after DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT supersteps,
preventing unbounded ancestor walks.
"""
from typing import Annotated, Any
from unittest.mock import patch
import pytest
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import END, START, StateGraph
from langgraph.pregel._checkpoint import delta_channels_to_snapshot
pytestmark = pytest.mark.anyio
def _simple_reducer(current: list, updates: list) -> list:
"""Flatten updates into current list (each update is itself a list)."""
result = list(current)
for u in updates:
if isinstance(u, list):
result.extend(u)
else:
result.append(u)
return result
def _build_two_channel_graph(
checkpointer: InMemorySaver,
*,
freq_a: int = 10_000,
freq_b: int = 10_000,
n_loops: int = 1,
) -> Any:
"""Graph with two delta channels A and B.
The node only writes to channel A; B is never written by the node.
`n_loops` controls how many supersteps the graph runs (via chained nodes).
"""
ch_a = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_a)
ch_b = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_b)
State = TypedDict( # noqa: UP013
"State",
{"a": Annotated[list, ch_a], "b": Annotated[list, ch_b]},
) # type: ignore[call-overload]
builder = StateGraph(State)
for i in range(n_loops):
name = f"step_{i}"
def node_fn(state: dict, _i: int = i) -> dict:
return {"a": [f"a-val-{_i}"]}
builder.add_node(name, node_fn)
if i == 0:
builder.add_edge(START, name)
else:
builder.add_edge(f"step_{i - 1}", name)
if i == n_loops - 1:
builder.add_edge(name, END)
return builder.compile(checkpointer=checkpointer)
async def test_forced_snapshot_single_run() -> None:
"""A single invoke with enough supersteps triggers snapshot on the
unwritten channel B via the supersteps bound."""
max_ss = 3
with patch(
"langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
max_ss,
):
saver = InMemorySaver()
graph = _build_two_channel_graph(saver, n_loops=4)
config = {"configurable": {"thread_id": "single-run-ss"}}
graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
head = saver.get_tuple(config)
assert head is not None
assert isinstance(head.checkpoint["channel_values"].get("b"), _DeltaSnapshot), (
"Channel B should have been force-snapshotted via supersteps bound"
)
state = graph.get_state(config)
assert state.values["b"] == ["seed-b"]
assert "seed-a" in state.values["a"]
async def test_forced_snapshot_accumulates_across_runs() -> None:
"""Supersteps counter for an unwritten channel persists across separate
invoke() calls. After enough runs, the channel is force-snapshotted."""
max_ss = 5
with patch(
"langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
max_ss,
):
saver = InMemorySaver()
graph = _build_two_channel_graph(saver, n_loops=1)
config = {"configurable": {"thread_id": "multi-run-ss"}}
graph.invoke({"a": ["init-a"], "b": ["init-b"]}, config)
for i in range(1, 6):
graph.invoke({"a": [f"run-{i}"]}, config)
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
b_counters = counters.get("b", (0, 0))
if b_counters == (0, 0):
assert isinstance(
head.checkpoint["channel_values"].get("b"), _DeltaSnapshot
), f"Run {i}: counter reset but no snapshot blob for B"
break
else:
pytest.fail("Channel B was never force-snapshotted after multiple runs")
state = graph.get_state(config)
assert state.values["b"] == ["init-b"]
assert "init-a" in state.values["a"]
async def test_predicate_fires_on_supersteps_overflow() -> None:
"""Unit test: delta_channels_to_snapshot fires when supersteps >= MAX
even when updates == 0."""
ch = DeltaChannel(_simple_reducer, list, snapshot_frequency=10_000)
ch.key = "x"
ch_instance = ch.from_checkpoint(None)
channels = {"x": ch_instance}
counters: dict[str, tuple[int, int]] = {"x": (0, 5000)}
result = delta_channels_to_snapshot(channels, counters)
assert "x" in result
counters_below: dict[str, tuple[int, int]] = {"x": (0, 4999)}
result2 = delta_channels_to_snapshot(channels, counters_below)
assert "x" not in result2
async def test_counter_reset_after_supersteps_snapshot() -> None:
"""After the supersteps bound triggers a snapshot, the counters for
that channel reset. Verify by using a bound higher than one run's
supersteps so we can see the counter in an intermediate state."""
max_ss = 15
with patch(
"langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
max_ss,
):
saver = InMemorySaver()
graph = _build_two_channel_graph(saver, n_loops=4)
config = {"configurable": {"thread_id": "counter-reset"}}
graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
b_counters = counters.get("b", (0, 0))
run1_supersteps = b_counters[1]
assert run1_supersteps > 0, "Should have some supersteps"
assert b_counters[0] == 1, "B written once (input step)"
graph.invoke({"a": ["more-a"]}, config)
head2 = saver.get_tuple(config)
assert head2 is not None
counters2 = head2.metadata.get("counters_since_delta_snapshot", {})
b_counters2 = counters2.get("b", (0, 0))
run2_supersteps = b_counters2[1]
assert run2_supersteps > run1_supersteps, "Supersteps should accumulate"
assert b_counters2[0] == 1, "B written once total (only original input)"
graph.invoke({"a": ["even-more"]}, config)
head3 = saver.get_tuple(config)
assert head3 is not None
assert isinstance(
head3.checkpoint["channel_values"].get("b"), _DeltaSnapshot
), "B should have snapshotted at supersteps >= max_ss"
counters3 = head3.metadata.get("counters_since_delta_snapshot", {})
b_counters3 = counters3.get("b", (0, 0))
assert b_counters3[1] < max_ss, (
f"After snapshot, supersteps should have reset, got {b_counters3}"
)
state = graph.get_state(config)
assert state.values["b"] == ["seed-b"]
+5 -540
View File
@@ -15,7 +15,7 @@ from langchain_core.callbacks import AsyncCallbackManagerForLLMRun, BaseCallback
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnableParallel
from langchain_core.runnables import RunnableLambda, RunnableParallel
from langgraph.checkpoint.memory import InMemorySaver, MemorySaver
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from typing_extensions import TypedDict
@@ -1674,28 +1674,15 @@ async def test_arun_with_retry_timeout_observer_tracks_attempts():
async def test_arun_with_retry_timeout_observer_emits_progress_on_heartbeat():
events: list = []
# `_TimedAttemptScope.__init__` sets `_last_progress` to `time.monotonic()`,
# but the watchdog itself doesn't start running until after `wrap_config`
# and task scheduling — under CI load that gap can be large enough to eat
# the entire idle window before the task body's first await even runs. We
# defend against that by:
# 1. Using a generous idle_timeout so scheduling slack stays well within it.
# 2. Calling `runtime.heartbeat()` BEFORE the first sleep, which resets
# `_last_progress` to "now" the moment the task body actually starts.
idle_timeout_s = 1.0
class HeartbeatProc:
async def ainvoke(self, input, config):
runtime = config[CONF][CONFIG_KEY_RUNTIME]
runtime.heartbeat() # reset the idle clock at task-body entry
for _ in range(8):
await asyncio.sleep(0.05)
runtime.heartbeat()
return "ok"
task = _make_task(
HeartbeatProc(), timeout=_idle_timeout(idle_timeout_s), name="heartbeat"
)
task = _make_task(HeartbeatProc(), timeout=_idle_timeout(0.2), name="heartbeat")
task.config[CONF][CONFIG_KEY_TIMED_ATTEMPT_OBSERVER] = events.append
assert await arun_with_retry(task, retry_policy=None) == "ok"
@@ -1704,13 +1691,13 @@ async def test_arun_with_retry_timeout_observer_emits_progress_on_heartbeat():
assert by_event[-1] == "finish"
progress = [ev for ev in events if ev.event == "progress"]
assert progress, "expected at least one progress event from heartbeat"
# Rate limit is `idle_timeout / 4` = 0.25s; with the task running for
# ~400ms we expect 12 progress events (well below the 9 heartbeats).
# Rate limit is `idle_timeout / 4` = 0.05s; with 8 heartbeats spaced ~0.05s
# we should see at most ~one progress event per heartbeat (well below 8).
assert len(progress) <= len(by_event)
for ev in progress:
assert ev.context.task_name == "heartbeat"
assert ev.context.attempt == 1
assert ev.context.idle_timeout_secs == idle_timeout_s
assert ev.context.idle_timeout_secs == 0.2
assert isinstance(ev.progress_at, datetime)
@@ -2280,525 +2267,3 @@ def test_node_without_error_handler_still_fails_run():
with pytest.raises(ValueError, match="no handler"):
graph.invoke({"foo": ""})
# ---------------------------------------------------------------------------
# set_node_defaults()
# ---------------------------------------------------------------------------
def test_set_node_defaults_error_handler_catches_all_nodes():
class State(TypedDict):
route: str
foo: Annotated[list[str], operator.add]
def route_node(state: State) -> Command:
return Command(goto=state["route"])
def fail_a(state: State) -> State:
raise RuntimeError("a failed")
def fail_b(state: State) -> State:
raise RuntimeError("b failed")
captured: dict[str, list[str]] = {"nodes": []}
def default_handler(state: State, error: NodeError) -> State:
captured["nodes"].append(error.node)
return {"foo": [f"handled_{error.node}"]}
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("route_node", route_node)
.add_node("fail_a", fail_a)
.add_node("fail_b", fail_b)
.add_edge(START, "route_node")
.add_conditional_edges(
"route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
)
.compile()
)
result_a = graph.invoke({"route": "fail_a", "foo": []})
result_b = graph.invoke({"route": "fail_b", "foo": []})
assert result_a["foo"] == ["handled_fail_a"]
assert result_b["foo"] == ["handled_fail_b"]
assert "fail_a" in captured["nodes"]
assert "fail_b" in captured["nodes"]
def test_set_node_defaults_error_handler_overridden_by_node_handler():
class State(TypedDict):
route: str
foo: Annotated[list[str], operator.add]
def route_node(state: State) -> Command:
return Command(goto=state["route"])
def fail_a(state: State) -> State:
raise RuntimeError("a failed")
def fail_b(state: State) -> State:
raise RuntimeError("b failed")
captured: dict[str, list[str]] = {"handler": []}
def node_handler(state: State, error: NodeError) -> State:
captured["handler"].append(f"node:{error.node}")
return {"foo": [f"node_handled_{error.node}"]}
def default_handler(state: State, error: NodeError) -> State:
captured["handler"].append(f"default:{error.node}")
return {"foo": [f"default_handled_{error.node}"]}
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("route_node", route_node)
.add_node("fail_a", fail_a, error_handler=node_handler)
.add_node("fail_b", fail_b)
.add_edge(START, "route_node")
.add_conditional_edges(
"route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
)
.compile()
)
result_a = graph.invoke({"route": "fail_a", "foo": []})
assert result_a["foo"] == ["node_handled_fail_a"]
assert "node:fail_a" in captured["handler"]
assert "default:fail_a" not in captured["handler"]
result_b = graph.invoke({"route": "fail_b", "foo": []})
assert result_b["foo"] == ["default_handled_fail_b"]
assert "default:fail_b" in captured["handler"]
def test_set_node_defaults_error_handler_skips_per_node_handler_nodes():
"""If a per-node error handler itself raises, the default handler must NOT
catch it -- the run should fail."""
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("node boom")
def broken_handler(state: State, error: NodeError) -> State:
raise RuntimeError("handler boom")
def default_handler(state: State, error: NodeError) -> State:
return {"foo": "default recovered"}
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("always_failing", always_failing, error_handler=broken_handler)
.add_edge(START, "always_failing")
.compile()
)
with pytest.raises(RuntimeError, match="handler boom"):
graph.invoke({"foo": ""})
def test_set_node_defaults_error_handler_failure_fails_run():
"""When the default handler itself raises, the run fails (no infinite
recursion, no double-routing)."""
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("node boom")
def broken_default_handler(state: State, error: NodeError) -> State:
raise RuntimeError("default handler boom")
graph = (
StateGraph(State)
.set_node_defaults(error_handler=broken_default_handler)
.add_node("always_failing", always_failing)
.add_edge(START, "always_failing")
.compile()
)
with pytest.raises(RuntimeError, match="default handler boom"):
graph.invoke({"foo": ""})
def test_set_node_defaults_error_handler_receives_runnable_config():
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("boom")
captured: dict[str, Any] = {}
def default_handler(
state: State, error: NodeError, config: RunnableConfig
) -> State:
captured["thread_id"] = config["configurable"].get("thread_id")
return {"foo": "handled"}
checkpointer = MemorySaver()
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("always_failing", always_failing)
.add_edge(START, "always_failing")
.compile(checkpointer=checkpointer)
)
thread_id = str(uuid4())
result = graph.invoke(
{"foo": ""}, config={"configurable": {"thread_id": thread_id}}
)
assert result["foo"] == "handled"
assert captured["thread_id"] == thread_id
def test_set_node_defaults_error_handler_collides_with_user_node():
class State(TypedDict):
foo: str
def default_handler(state: State, error: NodeError) -> State:
return {"foo": "handled"}
builder = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("__default_error_handler__", lambda s: s)
.add_edge(START, "__default_error_handler__")
)
with pytest.raises(ValueError, match="__default_error_handler__"):
builder.compile()
def test_set_node_defaults_retry_policy():
class State(TypedDict):
foo: str
attempts = 0
def flaky_node(state: State) -> State:
nonlocal attempts
attempts += 1
if attempts < 3:
raise ValueError("not yet")
return {"foo": "ok"}
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=3, initial_interval=0.01, jitter=False, retry_on=ValueError
)
)
.add_node("flaky", flaky_node)
.add_edge(START, "flaky")
.compile()
)
with patch("time.sleep"):
result = graph.invoke({"foo": ""})
assert result["foo"] == "ok"
assert attempts == 3
def test_set_node_defaults_retry_policy_per_node_wins():
class State(TypedDict):
foo: str
attempts = 0
def flaky_node(state: State) -> State:
nonlocal attempts
attempts += 1
if attempts < 2:
raise ValueError("not yet")
return {"foo": "ok"}
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=1, initial_interval=0.01, jitter=False, retry_on=ValueError
)
)
.add_node(
"flaky",
flaky_node,
retry_policy=RetryPolicy(
max_attempts=3,
initial_interval=0.01,
jitter=False,
retry_on=ValueError,
),
)
.add_edge(START, "flaky")
.compile()
)
with patch("time.sleep"):
result = graph.invoke({"foo": ""})
assert result["foo"] == "ok"
assert attempts == 2
@pytest.mark.anyio
async def test_set_node_defaults_timeout():
class State(TypedDict):
foo: str
async def slow_node(state: State) -> State:
await asyncio.sleep(10)
return {"foo": "should-not-happen"}
graph = (
StateGraph(State)
.set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.05))
.add_node("slow", slow_node)
.add_edge(START, "slow")
.compile()
)
from langgraph.errors import NodeTimeoutError
with pytest.raises(NodeTimeoutError):
await graph.ainvoke({"foo": ""})
@pytest.mark.anyio
async def test_set_node_defaults_timeout_per_node_wins():
"""Per-node timeout overrides the default; a generous per-node timeout
allows a node to complete even when the builder default is very short."""
class State(TypedDict):
foo: str
async def quick_node(state: State) -> State:
await asyncio.sleep(0.05)
return {"foo": "done"}
graph = (
StateGraph(State)
.set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.01))
.add_node("quick", quick_node, timeout=TimeoutPolicy(run_timeout=5.0))
.add_edge(START, "quick")
.compile()
)
result = await graph.ainvoke({"foo": ""})
assert result["foo"] == "done"
def test_set_node_defaults_chaining():
"""set_node_defaults() is chainable and can be called in any order relative to add_node."""
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("boom")
def handler(state: State, error: NodeError) -> State:
return {"foo": "handled"}
graph = (
StateGraph(State)
.add_node("a", always_failing)
.add_edge(START, "a")
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=1, initial_interval=0.01, jitter=False
),
error_handler=handler,
)
.compile()
)
result = graph.invoke({"foo": ""})
assert result["foo"] == "handled"
def test_set_node_defaults_combined_retry_and_error_handler():
"""Retries are exhausted first, then the error handler runs."""
class State(TypedDict):
foo: str
attempts = 0
captured: dict[str, Any] = {}
def always_failing(state: State) -> State:
nonlocal attempts
attempts += 1
raise ValueError("Always fails")
def handler(state: State, error: NodeError) -> State:
captured["error"] = str(error.error)
return {"foo": "handled"}
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=2,
initial_interval=0.01,
jitter=False,
retry_on=ValueError,
),
error_handler=handler,
)
.add_node("fail", always_failing)
.add_edge(START, "fail")
.compile()
)
with patch("time.sleep"):
result = graph.invoke({"foo": ""})
assert result["foo"] == "handled"
assert attempts == 2
assert captured["error"] == "Always fails"
def test_error_handler_resumes_after_crash():
"""If the error handler crashes, resuming should re-schedule the handler
(not re-execute the original failed node)."""
class State(TypedDict):
foo: str
call_count = {"node": 0, "handler": 0}
captured_errors: list[NodeError] = []
def failing_node(state: State) -> State:
call_count["node"] += 1
raise RuntimeError("boom")
handler_should_fail = [True]
def handler(state: State, error: NodeError) -> State:
call_count["handler"] += 1
captured_errors.append(error)
if handler_should_fail[0]:
raise RuntimeError("handler crash")
return {"foo": "recovered"}
checkpointer = MemorySaver()
graph = (
StateGraph(State)
.set_node_defaults(error_handler=handler)
.add_node("fail", failing_node)
.add_edge(START, "fail")
.compile(checkpointer=checkpointer)
)
config = {"configurable": {"thread_id": "t1"}}
# First invoke: node fails -> handler runs -> handler crashes -> run fails
with pytest.raises(RuntimeError, match="handler crash"):
graph.invoke({"foo": ""}, config)
assert call_count["node"] == 1
assert call_count["handler"] == 1
assert captured_errors[0].node == "fail"
assert isinstance(captured_errors[0].error, RuntimeError)
assert str(captured_errors[0].error) == "boom"
# Resume: handler should run again, NOT the original node
handler_should_fail[0] = False
result = graph.invoke(None, config)
assert result["foo"] == "recovered"
assert call_count["node"] == 1 # NOT re-executed
assert call_count["handler"] == 2 # ran again on resume
# on resume the error was round-tripped through the checkpointer, so it
# may be deserialized as a string representation rather than the original
# exception type — verify the node name and that the error content matches.
assert captured_errors[1].node == "fail"
assert "boom" in str(captured_errors[1].error)
def test_error_handler_resumes_after_crash_multiple_nodes():
"""When multiple nodes fail in the same superstep and all have error handlers:
- error handlers start running while other nodes may still be in-flight
- resuming re-schedules each handler (not re-executes the original nodes)
"""
class State(TypedDict):
results: Annotated[list[str], operator.add]
call_count = {"a": 0, "b": 0, "handler_a": 0, "handler_b": 0}
handler_a_started = threading.Event()
def node_a(state: State) -> State:
call_count["a"] += 1
raise RuntimeError("a failed")
def node_b(state: State) -> State:
call_count["b"] += 1
# Block until handler_a has started — proves the error handler runs
# concurrently with in-flight nodes in the same superstep.
assert handler_a_started.wait(timeout=5), "handler_a never started"
raise RuntimeError("b failed")
handler_should_fail = [True]
def handler_a(state: State, error: NodeError) -> State:
call_count["handler_a"] += 1
assert error.node == "a"
assert "a failed" in str(error.error)
handler_a_started.set()
if handler_should_fail[0]:
raise RuntimeError("handler_a crash")
return {"results": [f"recovered_a:{error.node}"]}
def handler_b(state: State, error: NodeError) -> State:
call_count["handler_b"] += 1
assert error.node == "b"
assert "b failed" in str(error.error)
if handler_should_fail[0]:
raise RuntimeError("handler_b crash")
return {"results": [f"recovered_b:{error.node}"]}
checkpointer = MemorySaver()
graph = (
StateGraph(State)
.add_node("a", node_a, error_handler=handler_a)
.add_node("b", node_b, error_handler=handler_b)
.add_edge(START, "a")
.add_edge(START, "b")
.compile(checkpointer=checkpointer)
)
config = {"configurable": {"thread_id": "t1"}}
# First invoke: node_a fails immediately -> handler_a starts (sets event) ->
# node_b unblocks and fails -> handler_b starts -> both handlers crash
with pytest.raises(RuntimeError):
graph.invoke({"results": []}, config)
assert call_count["a"] == 1
assert call_count["b"] == 1
assert call_count["handler_a"] == 1
assert call_count["handler_b"] == 1
# Resume: both handlers should run again, NOT the original nodes
handler_should_fail[0] = False
handler_a_started.clear()
result = graph.invoke(None, config)
assert call_count["a"] == 1 # NOT re-executed
assert call_count["b"] == 1 # NOT re-executed
assert call_count["handler_a"] == 2 # ran again on resume
assert call_count["handler_b"] == 2 # ran again on resume
assert "recovered_a:a" in result["results"]
assert "recovered_b:b" in result["results"]
+15 -15
View File
@@ -1350,7 +1350,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.4.0a2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -1363,9 +1363,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
@@ -1382,7 +1382,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.0"
version = "1.2.0a7"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -1454,7 +1454,7 @@ test = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.4.0,<2" },
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
{ name = "langgraph-sdk", editable = "../sdk-py" },
@@ -1563,7 +1563,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -1611,7 +1611,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.0"
version = "3.1.0a4"
source = { editable = "../checkpoint-postgres" }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -1658,7 +1658,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
source = { editable = "../checkpoint-sqlite" }
dependencies = [
{ name = "aiosqlite" },
@@ -1757,7 +1757,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.1.0"
version = "1.1.0a2"
source = { editable = "../prebuilt" }
dependencies = [
{ name = "langchain-core" },
@@ -2085,14 +2085,14 @@ wheels = [
[[package]]
name = "mistune"
version = "3.2.1"
version = "3.2.0"
source = { registry = "https://pypi.org/simple" }
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{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
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version = "2.6.3"
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+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "1.1.0"
version = "1.1.0a2"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.10"
+12 -12
View File
@@ -253,7 +253,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.4.0a2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -266,9 +266,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
@@ -285,7 +285,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.0"
version = "1.2.0a7"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -298,7 +298,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.4.0,<2" },
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "langgraph-prebuilt", editable = "." },
{ name = "langgraph-sdk", editable = "../sdk-py" },
@@ -369,7 +369,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -417,7 +417,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.0"
version = "3.1.0a4"
source = { editable = "../checkpoint-postgres" }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -464,7 +464,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
source = { editable = "../checkpoint-sqlite" }
dependencies = [
{ name = "aiosqlite" },
@@ -507,7 +507,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.1.0"
version = "1.1.0a2"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -1490,11 +1490,11 @@ wheels = [
[[package]]
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-11
View File
@@ -18,7 +18,6 @@ from langgraph_sdk.schema import (
CronSortBy,
Durability,
Input,
Json,
OnCompletionBehavior,
QueryParamTypes,
Run,
@@ -414,7 +413,6 @@ class CronClient:
assistant_id: str | None = None,
thread_id: str | None = None,
enabled: bool | None = None,
metadata: Json = None,
limit: int = 10,
offset: int = 0,
sort_by: CronSortBy | None = None,
@@ -429,8 +427,6 @@ class CronClient:
assistant_id: The assistant ID or graph name to search for.
thread_id: the thread ID to search for.
enabled: The enabled status to search for.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
limit: The maximum number of results to return.
offset: The number of results to skip.
headers: Optional custom headers to include with the request.
@@ -485,8 +481,6 @@ class CronClient:
"limit": limit,
"offset": offset,
}
if metadata:
payload["metadata"] = metadata
if sort_by:
payload["sort_by"] = sort_by
if sort_order:
@@ -503,7 +497,6 @@ class CronClient:
*,
assistant_id: str | None = None,
thread_id: str | None = None,
metadata: Json = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> int:
@@ -512,8 +505,6 @@ class CronClient:
Args:
assistant_id: Assistant ID to filter by.
thread_id: Thread ID to filter by.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -525,8 +516,6 @@ class CronClient:
payload["assistant_id"] = assistant_id
if thread_id:
payload["thread_id"] = thread_id
if metadata:
payload["metadata"] = metadata
return await self.http.post(
"/runs/crons/count", json=payload, headers=headers, params=params
)
-11
View File
@@ -18,7 +18,6 @@ from langgraph_sdk.schema import (
CronSortBy,
Durability,
Input,
Json,
OnCompletionBehavior,
QueryParamTypes,
Run,
@@ -403,7 +402,6 @@ class SyncCronClient:
assistant_id: str | None = None,
thread_id: str | None = None,
enabled: bool | None = None,
metadata: Json = None,
limit: int = 10,
offset: int = 0,
sort_by: CronSortBy | None = None,
@@ -418,8 +416,6 @@ class SyncCronClient:
assistant_id: The assistant ID or graph name to search for.
thread_id: the thread ID to search for.
enabled: Whether the cron job is enabled.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
limit: The maximum number of results to return.
offset: The number of results to skip.
headers: Optional custom headers to include with the request.
@@ -472,8 +468,6 @@ class SyncCronClient:
"limit": limit,
"offset": offset,
}
if metadata:
payload["metadata"] = metadata
if sort_by:
payload["sort_by"] = sort_by
if sort_order:
@@ -490,7 +484,6 @@ class SyncCronClient:
*,
assistant_id: str | None = None,
thread_id: str | None = None,
metadata: Json = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> int:
@@ -499,8 +492,6 @@ class SyncCronClient:
Args:
assistant_id: Assistant ID to filter by.
thread_id: Thread ID to filter by.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -512,8 +503,6 @@ class SyncCronClient:
payload["assistant_id"] = assistant_id
if thread_id:
payload["thread_id"] = thread_id
if metadata:
payload["metadata"] = metadata
return self.http.post(
"/runs/crons/count", json=payload, headers=headers, params=params
)
-162
View File
@@ -485,165 +485,3 @@ def test_sync_update_with_enabled_parameter(enabled_value):
)
assert result == cron
@pytest.mark.asyncio
async def test_async_search_with_metadata():
"""Test that CronClient.search forwards metadata in the request body."""
cron = _cron_response()
async def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "POST"
assert request.url.path == "/runs/crons/search"
body = json.loads(request.content)
assert body["metadata"] == {"owner": "alice"}
assert body["limit"] == 10
assert body["offset"] == 0
return httpx.Response(200, json=[cron])
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
http_client = HttpClient(client)
cron_client = CronClient(http_client)
result = await cron_client.search(metadata={"owner": "alice"})
assert result == [cron]
@pytest.mark.asyncio
async def test_async_search_omits_empty_metadata():
"""Test that CronClient.search does not send metadata when not provided."""
cron = _cron_response()
async def handler(request: httpx.Request) -> httpx.Response:
body = json.loads(request.content)
assert "metadata" not in body
return httpx.Response(200, json=[cron])
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
http_client = HttpClient(client)
cron_client = CronClient(http_client)
await cron_client.search()
@pytest.mark.asyncio
async def test_async_count_with_metadata():
"""Test that CronClient.count forwards metadata in the request body."""
async def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "POST"
assert request.url.path == "/runs/crons/count"
body = json.loads(request.content)
assert body["metadata"] == {"team": "infra"}
return httpx.Response(200, json=2)
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
http_client = HttpClient(client)
cron_client = CronClient(http_client)
result = await cron_client.count(metadata={"team": "infra"})
assert result == 2
@pytest.mark.asyncio
async def test_async_count_omits_empty_metadata():
"""Test that CronClient.count does not send metadata when not provided."""
async def handler(request: httpx.Request) -> httpx.Response:
body = json.loads(request.content)
assert "metadata" not in body
return httpx.Response(200, json=0)
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
http_client = HttpClient(client)
cron_client = CronClient(http_client)
await cron_client.count()
def test_sync_search_with_metadata():
"""Test that SyncCronClient.search forwards metadata in the request body."""
cron = _cron_response()
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "POST"
assert request.url.path == "/runs/crons/search"
body = json.loads(request.content)
assert body["metadata"] == {"owner": "alice"}
return httpx.Response(200, json=[cron])
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
result = cron_client.search(metadata={"owner": "alice"})
assert result == [cron]
def test_sync_search_omits_empty_metadata():
"""Test that SyncCronClient.search does not send metadata when not provided."""
cron = _cron_response()
def handler(request: httpx.Request) -> httpx.Response:
body = json.loads(request.content)
assert "metadata" not in body
return httpx.Response(200, json=[cron])
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
cron_client.search()
def test_sync_count_with_metadata():
"""Test that SyncCronClient.count forwards metadata in the request body."""
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "POST"
assert request.url.path == "/runs/crons/count"
body = json.loads(request.content)
assert body["metadata"] == {"team": "infra"}
return httpx.Response(200, json=2)
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
result = cron_client.count(metadata={"team": "infra"})
assert result == 2
def test_sync_count_omits_empty_metadata():
"""Test that SyncCronClient.count does not send metadata when not provided."""
def handler(request: httpx.Request) -> httpx.Response:
body = json.loads(request.content)
assert "metadata" not in body
return httpx.Response(200, json=0)
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
http_client = SyncHttpClient(client)
cron_client = SyncCronClient(http_client)
cron_client.count()
+7 -7
View File
@@ -266,7 +266,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.4.0a2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -279,9 +279,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
@@ -298,7 +298,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.0"
version = "1.2.0a7"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -311,7 +311,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.4.0,<2" },
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
{ name = "langgraph-sdk", editable = "." },
@@ -382,7 +382,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -430,7 +430,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.1.0"
version = "1.1.0a2"
source = { editable = "../prebuilt" }
dependencies = [
{ name = "langchain-core" },