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Author SHA1 Message Date
Sydney Runkle 2239aae856 fix(lint): remove redundant cast flagged by mypy 2026-05-06 15:08:37 -04:00
Sydney Runkle e8c6d9cc31 chore: apply ruff format/lint fixes 2026-05-06 15:03:13 -04:00
Sydney Runkle 6c43a254ef fix(message): full add_messages parity for _messages_delta_reducer
Add REMOVE_ALL_MESSAGES sentinel handling and BaseMessageChunk coercion,
completing parity with add_messages. REMOVE_ALL_MESSAGES resets state and
discards all preceding writes; chunks are coerced to full messages via
message_chunk_to_message. Both properties are batching-invariant.
2026-05-06 14:59:12 -04:00
Sydney Runkle eddfb40703 fix(message): assign UUIDs to ID-less messages in _messages_delta_reducer
Without UUID assignment, message eviction and RemoveMessage tombstoning
fail for messages created without explicit IDs. Matches the behavior of
add_messages. IDs are now assigned inline within the existing iterations
over state_msgs and msgs to avoid an extra pass.
2026-05-06 14:42:36 -04:00
71 changed files with 980 additions and 3822 deletions
+3 -7
View File
@@ -58,18 +58,14 @@ jobs:
} >> "$GITHUB_OUTPUT"
- name: Annotation
uses: actions/github-script@v9
env:
CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
COMPARE_OUTPUT: ${{ steps.compare.outputs.OUTPUT }}
with:
script: |
const file = JSON.parse(process.env.CHANGED_FILES || "[]")[0]
core.notice(process.env.BENCHMARK_OUTPUT || "", {
const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
core.notice(`${{ steps.benchmark.outputs.OUTPUT }}`, {
title: 'Benchmark results',
file,
})
core.notice(process.env.COMPARE_OUTPUT || "", {
core.notice(`${{ steps.compare.outputs.OUTPUT }}`, {
title: 'Comparison against main',
file,
})
-3
View File
@@ -32,7 +32,6 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
# We want to keep this build stage *separate* from the release stage,
@@ -269,7 +268,6 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
@@ -311,7 +309,6 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
-1
View File
@@ -63,7 +63,6 @@ The suite tests **base** capabilities (required) and **extended** capabilities (
| `delete_for_runs` | no | `adelete_for_runs` |
| `copy_thread` | no | `acopy_thread` |
| `prune` | no | `aprune` |
| `delta_channel_history` | no | `aget_delta_channel_history` |
Extended capabilities are detected by checking whether the method is overridden from `BaseCheckpointSaver`. If not overridden, those tests are skipped.
@@ -23,7 +23,6 @@ class Capability(str, Enum):
DELETE_FOR_RUNS = "delete_for_runs"
COPY_THREAD = "copy_thread"
PRUNE = "prune"
DELTA_CHANNEL_HISTORY = "delta_channel_history"
# Capabilities that every checkpointer must support.
@@ -43,7 +42,6 @@ EXTENDED_CAPABILITIES = frozenset(
Capability.DELETE_FOR_RUNS,
Capability.COPY_THREAD,
Capability.PRUNE,
Capability.DELTA_CHANNEL_HISTORY,
}
)
@@ -59,7 +57,6 @@ _CAPABILITY_METHOD_MAP: dict[Capability, str] = {
Capability.DELETE_FOR_RUNS: "adelete_for_runs",
Capability.COPY_THREAD: "acopy_thread",
Capability.PRUNE: "aprune",
Capability.DELTA_CHANNEL_HISTORY: "aget_delta_channel_history",
}
@@ -9,9 +9,6 @@ from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
from langgraph.checkpoint.conformance.spec.test_delete_thread import (
run_delete_thread_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
run_delta_channel_history_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
@@ -27,5 +24,4 @@ __all__ = [
"run_delete_for_runs_tests",
"run_copy_thread_tests",
"run_prune_tests",
"run_delta_channel_history_tests",
]
@@ -1,99 +0,0 @@
"""Shared fixtures for delta-channel conformance tests.
Builds a parent chain with `_DeltaSnapshot` blobs at known positions via
direct `aput` / `aput_writes` calls. No langgraph or Pregel dependency.
"""
from __future__ import annotations
from collections.abc import Sequence
from typing import Any
from uuid import uuid4
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.conformance.test_utils import generate_metadata
async def build_delta_chain(
saver: BaseCheckpointSaver,
*,
thread_id: str | None = None,
checkpoint_ns: str = "",
channel: str = "messages",
snapshots_at_steps: Sequence[int] = (0,),
total_steps: int = 6,
write_value_fn: Any | None = None,
) -> list[RunnableConfig]:
"""Build a parent chain with `_DeltaSnapshot` at known positions.
Args:
saver: Checkpointer instance.
thread_id: Defaults to a random UUID.
checkpoint_ns: Namespace (default root).
channel: Channel name used for snapshots and writes.
snapshots_at_steps: Steps at which a `_DeltaSnapshot` blob is stored
in `channel_values[channel]`. Step 0 is the oldest checkpoint.
total_steps: Number of checkpoints in the chain.
write_value_fn: Callable(step) -> write value. Defaults to step index.
Returns:
List of stored configs (oldest first), one per step.
"""
if write_value_fn is None:
def write_value_fn(step: int) -> Any:
return step
from langgraph.checkpoint.serde.types import _DeltaSnapshot
thread_id = thread_id or str(uuid4())
snapshot_set = set(snapshots_at_steps)
stored: list[RunnableConfig] = []
parent_cfg: RunnableConfig | None = None
for step in range(total_steps):
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
}
}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
channel_values: dict[str, Any] = {}
channel_versions: dict[str, int] = {}
if step in snapshot_set:
channel_values[channel] = _DeltaSnapshot(
write_value_fn(step),
)
channel_versions[channel] = step + 1
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
ts="",
channel_values=channel_values,
channel_versions=channel_versions,
versions_seen={},
updated_channels=None,
)
new_versions = dict(channel_versions)
parent_cfg = await saver.aput(
config, cp, generate_metadata(step=step), new_versions
)
stored.append(parent_cfg)
# Write a pending write for non-snapshot steps so the walk has
# something to collect.
if step not in snapshot_set:
await saver.aput_writes(
parent_cfg, [(channel, write_value_fn(step))], str(uuid4())
)
return stored
@@ -1,247 +0,0 @@
"""DELTA_CHANNEL_HISTORY capability tests — aget_delta_channel_history 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_history_returns_writes_oldest_first(
saver: BaseCheckpointSaver,
) -> None:
"""Writes are returned oldest-to-newest."""
tid = str(uuid4())
# 5 steps: snapshot at 0, writes at 1,2,3,4.
# Head is step 4. Walk starts at step 3 (parent of head).
# Collects writes from steps 1,2,3 (between snapshot at 0 and head's parent).
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=5
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert values == [1, 2, 3], f"Expected [1,2,3], got {values}"
async def test_history_seed_is_nearest_snapshot(
saver: BaseCheckpointSaver,
) -> None:
"""Seed is the value from the nearest ancestor with channel_values populated."""
tid = str(uuid4())
# 6 steps: snapshots at 0 and 3, writes at 1,2,4,5.
# Head is step 5. Walk from step 4 backward stops at step 3 (snapshot).
# Collects writes from step 4 only (between step 3 and head's parent step 4).
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="ch",
snapshots_at_steps=[0, 3],
total_steps=6,
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
assert "seed" in result["ch"], "Expected seed from snapshot at step 3"
seed = result["ch"]["seed"]
from langgraph.checkpoint.serde.types import _DeltaSnapshot
actual_value = seed.value if isinstance(seed, _DeltaSnapshot) else seed
assert actual_value == 3, f"Expected seed value 3 (step 3), got {actual_value}"
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert values == [4], f"Expected [4], got {values}"
async def test_history_excludes_target_pending_writes(
saver: BaseCheckpointSaver,
) -> None:
"""Target's own pending_writes are NOT included in the history."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=3
)
head = configs[-1]
# Add writes directly to the head checkpoint
await saver.aput_writes(head, [("ch", "extra")], str(uuid4()))
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert "extra" not in values, f"Target's writes should be excluded, got {values}"
async def test_history_multi_channel(
saver: BaseCheckpointSaver,
) -> None:
"""Multiple channels have independent walk termination."""
tid = str(uuid4())
configs: list = []
parent_cfg = None
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
for step in range(5):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cv: dict = {}
cvs: dict = {}
if step == 1:
cv["a"] = _DeltaSnapshot("snap_a")
cvs["a"] = step + 1
if step == 3:
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)
await saver.aput_writes(parent_cfg, [("a", step), ("b", step)], str(uuid4()))
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["a", "b"])
a_writes = [w[2] for w in result["a"]["writes"]]
b_writes = [w[2] for w in result["b"]["writes"]]
assert a_writes == [1, 2, 3], f"Expected a writes [1,2,3], got {a_writes}"
assert b_writes == [3], f"Expected b writes [3], got {b_writes}"
async def test_history_empty_channels_returns_empty(
saver: BaseCheckpointSaver,
) -> None:
"""Empty channels list returns empty mapping."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=3
)
result = await saver.aget_delta_channel_history(config=configs[-1], channels=[])
assert result == {}
async def test_history_walk_to_root_no_seed(
saver: BaseCheckpointSaver,
) -> None:
"""Walk reaches root without finding seed — no 'seed' key in result."""
tid = str(uuid4())
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="ch",
snapshots_at_steps=[],
total_steps=4,
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
assert "seed" not in result["ch"], f"Expected no seed, got {result['ch']}"
async def test_history_migration_plain_value_as_seed(
saver: BaseCheckpointSaver,
) -> None:
"""Pre-delta plain value in channel_values acts as seed (migration case).
When a thread was originally using a regular channel (BinaryOperatorAggregate)
and later switches to DeltaChannel, the old checkpoint has a plain value in
channel_values[ch] (not a _DeltaSnapshot). The walk should treat it as the
seed and terminate there.
"""
from langgraph.checkpoint.base import Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.conformance.test_utils import generate_metadata
tid = str(uuid4())
configs: list = []
parent_cfg = None
for step in range(4):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cv: dict = {}
cvs: dict = {}
# Step 1: plain value (migration case — old checkpoint before delta)
if step == 1:
cv["ch"] = [10, 20, 30]
cvs["ch"] = 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)
if step != 1:
await saver.aput_writes(parent_cfg, [("ch", step)], str(uuid4()))
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
# Seed should be the plain value from step 1
assert "seed" in result["ch"], "Expected seed from migration plain value at step 1"
seed = result["ch"]["seed"]
assert seed == [10, 20, 30], f"Expected plain value [10,20,30], got {seed}"
# Writes should be from step 2 only (between seed at step 1 and head's parent step 2)
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert values == [2], f"Expected [2], got {values}"
ALL_DELTA_CHANNEL_HISTORY_TESTS = [
test_history_returns_writes_oldest_first,
test_history_seed_is_nearest_snapshot,
test_history_excludes_target_pending_writes,
test_history_multi_channel,
test_history_empty_channels_returns_empty,
test_history_walk_to_root_no_seed,
test_history_migration_plain_value_as_seed,
]
async def run_delta_channel_history_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all delta_channel_history tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_DELTA_CHANNEL_HISTORY_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("delta_channel_history", 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_history",
test_fn.__name__,
False,
traceback.format_exc(),
)
return passed, failed, failures
@@ -19,9 +19,6 @@ from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
from langgraph.checkpoint.conformance.spec.test_delete_thread import (
run_delete_thread_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
run_delta_channel_history_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
@@ -38,7 +35,6 @@ _RUNNERS = {
Capability.DELETE_FOR_RUNS: run_delete_for_runs_tests,
Capability.COPY_THREAD: run_copy_thread_tests,
Capability.PRUNE: run_prune_tests,
Capability.DELTA_CHANNEL_HISTORY: run_delta_channel_history_tests,
}
@@ -43,11 +43,7 @@ asyncio_mode = "auto"
# The extended methods (acopy_thread, adelete_for_runs, aprune) are checked
# at runtime via capability detection and may not exist on the installed
# base class. Dict literal inference is also overly strict for RunnableConfig.
# Delta-channel tests import from `langgraph` (not a declared dep of this
# package — at test time it is installed alongside); private `_DeltaSnapshot`
# imports are intentional (beta surface).
unresolved-attribute = "ignore"
unresolved-import = "ignore"
invalid-argument-type = "ignore"
invalid-return-type = "ignore"
@@ -62,9 +58,6 @@ lint.select = [
lint.ignore = ["E501", "B008"]
target-version = "py310"
[tool.uv.sources]
langgraph-checkpoint = {path = "../checkpoint", editable = true}
[[tool.uv.index]]
name = "testpypi"
url = "https://test.pypi.org/simple/"
+504 -605
View File
File diff suppressed because it is too large Load Diff
@@ -279,8 +279,8 @@ def _build_delta_stage2_sql(
)
for _ in channels_with_seed:
branches.append(
"SELECT 'b'::text AS _kind, NULL::text AS checkpoint_id, channel, "
"type, blob, NULL::text AS task_id, NULL::int AS idx, version "
"SELECT 'b'::text, NULL, channel, "
"type, blob, NULL, NULL, version "
"FROM checkpoint_blobs "
"WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
"AND version = %s"
+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",
+11 -11
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" },
@@ -399,7 +399,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -412,9 +412,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
{ url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
]
[[package]]
@@ -1234,11 +1234,11 @@ wheels = [
[[package]]
name = "urllib3"
version = "2.7.0"
version = "2.6.3"
source = { registry = "https://pypi.org/simple" }
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+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",
]
@@ -1,35 +0,0 @@
"""Run delta-channel conformance capabilities against AsyncSqliteSaver."""
from __future__ import annotations
import pytest
pytest.importorskip(
"langgraph.checkpoint.conformance",
reason="langgraph-checkpoint-conformance not installed",
)
pytest.importorskip("aiosqlite", reason="aiosqlite not installed")
@pytest.mark.asyncio
async def test_delta_channel_conformance():
from langgraph.checkpoint.conformance import validate
from langgraph.checkpoint.conformance.initializer import checkpointer_test
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
@checkpointer_test(name="AsyncSqliteSaver")
async def sqlite_saver():
async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
yield saver
report = await validate(
sqlite_saver,
capabilities={
"delta_channel_history",
},
)
for cap, result in report.results.items():
if result.passed is False:
details = "\n".join(result.failures or [])
pytest.fail(f"Capability {cap} failed:\n{details}")
+14 -27
View File
@@ -214,11 +214,11 @@ wheels = [
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version = "3.15"
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[[package]]
@@ -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" },
]
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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" },
@@ -402,7 +389,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -415,9 +402,9 @@ dependencies = [
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{ name = "zstandard" },
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[[package]]
@@ -1161,11 +1148,11 @@ wheels = [
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version = "2.7.0"
version = "2.6.3"
source = { registry = "https://pypi.org/simple" }
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[[package]]
@@ -60,29 +60,15 @@ 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.
"""
@@ -149,11 +135,6 @@ class CheckpointTuple(NamedTuple):
class DeltaChannelHistory(TypedDict):
"""Per-channel result entry from `BaseCheckpointSaver.get_delta_channel_history`.
!!! warning "Beta"
Part of the `DeltaChannel` support surface; in beta. Field names and
semantics may change.
Storage-level view of what one channel contributed across the ancestor
chain of a target checkpoint:
@@ -336,14 +317,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
run_ids: The run IDs whose checkpoints should be deleted.
!!! warning "DeltaChannel"
Deleting a run that produced ancestor `checkpoint_writes` — or
the only `_DeltaSnapshot` blob — for a still-live thread will
break reconstruction of any `DeltaChannel` whose history
depended on those rows. See the `DeltaChannel` note on `prune`
for safe-recovery strategies.
"""
raise NotImplementedError
@@ -357,17 +330,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
source_thread_id: The thread ID to copy from.
target_thread_id: The thread ID to copy to.
!!! warning "DeltaChannel"
Implementations must copy the **complete** parent chain (all
ancestor checkpoints and their `checkpoint_writes`) — copying
only the head checkpoint will leave the target thread with
`DeltaChannel` state that cannot be reconstructed (no path back
to a `_DeltaSnapshot` ancestor). Equivalently, the copy must
include enough ancestors that every `DeltaChannel`-backed key
has either a `_DeltaSnapshot` in `channel_values` somewhere in
the chain, or a complete write history back to the chain root.
"""
raise NotImplementedError
@@ -383,34 +345,6 @@ class BaseCheckpointSaver(Generic[V]):
thread_ids: The thread IDs to prune.
strategy: The pruning strategy. `"keep_latest"` retains only the most
recent checkpoint per namespace. `"delete"` removes all checkpoints.
!!! warning "DeltaChannel"
Custom implementations must be `DeltaChannel`-aware. `DeltaChannel`
stores only a sentinel in `channel_values` for non-snapshot steps;
reconstruction walks the parent chain via
`get_delta_channel_history`, accumulating rows from
`checkpoint_writes` until it reaches an ancestor whose
`channel_values` contains a `_DeltaSnapshot` blob (written every
`snapshot_frequency` updates).
A naive `"keep_latest"` that drops intermediate checkpoints and
their writes can sever that chain: the surviving "latest"
checkpoint is rarely a snapshot point itself, so its delta
channels would silently reconstruct as empty (no error raised —
`get_delta_channel_history` simply returns no `seed`). Safe
options when the graph uses `DeltaChannel`:
* Walk back from each kept checkpoint and preserve every
ancestor (plus its `checkpoint_writes`) up to the nearest one
whose `channel_values` already contains a `_DeltaSnapshot` for
every `DeltaChannel`-backed key.
* Force a fresh snapshot on the kept checkpoint before deleting
ancestors — rewrite `channel_values[k] = _DeltaSnapshot(value)`
for each delta channel `k` (resolving `value` via the existing
ancestor walk first), then prune.
* Skip pruning threads whose graph uses `DeltaChannel` until one
of the above is implemented.
"""
raise NotImplementedError
@@ -527,13 +461,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
run_ids: The run IDs whose checkpoints should be deleted.
!!! warning "DeltaChannel"
See `delete_for_runs` — deleting rows a still-live thread's
`DeltaChannel` reconstruction depends on (writes between the
head and its nearest `_DeltaSnapshot` ancestor) will silently
corrupt that channel's state.
"""
raise NotImplementedError
@@ -547,13 +474,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
source_thread_id: The thread ID to copy from.
target_thread_id: The thread ID to copy to.
!!! warning "DeltaChannel"
See `copy_thread` — the copy must carry the complete parent
chain (or at least back to a `_DeltaSnapshot` ancestor for every
`DeltaChannel`) so the target thread can reconstruct delta
state.
"""
raise NotImplementedError
@@ -569,13 +489,6 @@ class BaseCheckpointSaver(Generic[V]):
thread_ids: The thread IDs to prune.
strategy: The pruning strategy. `"keep_latest"` retains only the most
recent checkpoint per namespace. `"delete"` removes all checkpoints.
!!! warning "DeltaChannel"
See `prune` for the full `DeltaChannel` caveat. In short:
`"keep_latest"` must not drop ancestor checkpoints / writes that
sit between the kept checkpoint and the nearest `_DeltaSnapshot`
ancestor, or delta channels will silently reconstruct as empty.
"""
raise NotImplementedError
@@ -584,14 +497,6 @@ class BaseCheckpointSaver(Generic[V]):
) -> Mapping[str, DeltaChannelHistory]:
"""Walk the parent chain returning per-channel writes + seed.
!!! warning "Beta"
This method is part of the `DeltaChannel` support surface and is
in beta. The signature, return shape (`DeltaChannelHistory`), and
interaction with `_DeltaSnapshot` blobs may change. Override at
your own risk; the default implementation will continue to work
against the public `BaseCheckpointSaver` contract.
For each requested channel, walks ancestors of the checkpoint
identified by `config` (following `parent_config`) and accumulates
`pending_writes` for that channel. The walk terminates per-channel
@@ -651,13 +556,7 @@ class BaseCheckpointSaver(Generic[V]):
async def aget_delta_channel_history(
self, *, config: RunnableConfig, channels: Sequence[str]
) -> Mapping[str, DeltaChannelHistory]:
"""Async version of `get_delta_channel_history`.
!!! warning "Beta"
This method is part of the `DeltaChannel` support surface and is
in beta. See `get_delta_channel_history` for caveats.
"""
"""Async version of `get_delta_channel_history`."""
if not channels:
return {}
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
@@ -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"
@@ -1,33 +0,0 @@
"""Run delta-channel conformance capabilities against InMemorySaver."""
from __future__ import annotations
import pytest
conformance = pytest.importorskip(
"langgraph.checkpoint.conformance",
reason="langgraph-checkpoint-conformance not installed",
)
@pytest.mark.asyncio
async def test_delta_channel_conformance():
from langgraph.checkpoint.conformance import validate
from langgraph.checkpoint.conformance.initializer import checkpointer_test
from langgraph.checkpoint.memory import InMemorySaver
@checkpointer_test(name="InMemorySaver")
async def mem_saver():
yield InMemorySaver()
report = await validate(
mem_saver,
capabilities={
"delta_channel_history",
},
)
for cap, result in report.results.items():
if result.passed is False:
details = "\n".join(result.failures or [])
pytest.fail(f"Capability {cap} failed:\n{details}")
+10 -10
View File
@@ -268,7 +268,7 @@ wheels = [
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version = "1.3.3"
version = "1.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -281,9 +281,9 @@ dependencies = [
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{ name = "uuid-utils" },
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[[package]]
@@ -300,7 +300,7 @@ wheels = [
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name = "langgraph-checkpoint"
version = "4.1.0"
version = "4.1.0a4"
source = { editable = "." }
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@@ -383,7 +383,7 @@ test = [
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name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -396,9 +396,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
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[[package]]
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[[package]]
name = "urllib3"
version = "2.7.0"
version = "2.6.3"
source = { registry = "https://pypi.org/simple" }
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@@ -3675,11 +3675,12 @@ keyv@^4.5.4:
json-buffer "3.0.1"
"langsmith@>=0.5.0 <1.0.0":
version "0.6.3"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.6.3.tgz#a3d8ad58d66a47d3697e3c69b2be3f6df5233190"
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version "0.5.20"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
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dependencies:
p-queue "6.6.2"
uuid "10.0.0"
leven@^3.1.0:
version "3.1.0"
@@ -4847,7 +4848,7 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@^10.0.0:
uuid@10.0.0, uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
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"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
"devDependencies": {
"turbo": "^2.9.14",
"turbo": "^2.9.7",
"typescript": "^5.9.3",
"@tsconfig/recommended": "^1.0.13",
"@eslint/eslintrc": "^3.3.5",
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resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
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"@turbo/darwin-64@2.9.14":
version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.14.tgz#b9ec6ac637b9c5fdba5dae9d743f5d121f091242"
integrity sha512-t7QiPflaEyBE4oayeZtSmu4mEfjgIrcNlNNl1z1dmIVPqEdtA7+CfTf8d7KXsOGPh6aNgWjKxyvQg9uGfDQF+A==
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version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.7.tgz#46fddae01ea7817192dc6ff36a678cc3879b753b"
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version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.14.tgz#99d19f3e59842c595d2828c72a2e4ef537408f38"
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version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.7.tgz#900645776fa44ff8333e801d890992736f6dbc72"
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version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.14.tgz#4dc16684f0ddce53fafe56ad8f55205c4473d17a"
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version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.7.tgz#e678d73fdbcbb12a679403fe7ba070fb67f37810"
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"@types/esrecurse@^4.3.1":
version "4.3.1"
@@ -1327,11 +1327,12 @@ keyv@^4.5.4:
json-buffer "3.0.1"
"langsmith@>=0.5.0 <1.0.0":
version "0.7.1"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.7.1.tgz#d721ad2e5211f9a5373e8a84eb4fed36b5621971"
integrity sha512-Wjk90UjNoY5cBHMlNAC/eZx5clI8jnjBOBW8uJu8+MWBtx0QesNjsUiLtjI+I3UnrpxFFpDqGXcnhBjH654Mqg==
version "0.5.20"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
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dependencies:
p-queue "6.6.2"
uuid "10.0.0"
levn@^0.4.1:
version "0.4.1"
@@ -1813,17 +1814,17 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo@^2.9.14:
version "2.9.14"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.14.tgz#d412fcc4c9bd8dba29cec5bbd54d5a74ab2b1bee"
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turbo@^2.9.7:
version "2.9.7"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.7.tgz#da6d5a821f0bde5174e1a55af6690dad5c2fb004"
integrity sha512-epxzqVO2s0IxcSWcgb+qKrtco8isfe7g3VtiS6hkYnEK4A9XQDZbrtavQ6MtWR1KoQn+1fUomaQth2rfRHlUlg==
optionalDependencies:
"@turbo/darwin-64" "2.9.14"
"@turbo/darwin-arm64" "2.9.14"
"@turbo/linux-64" "2.9.14"
"@turbo/linux-arm64" "2.9.14"
"@turbo/windows-64" "2.9.14"
"@turbo/windows-arm64" "2.9.14"
"@turbo/darwin-64" "2.9.7"
"@turbo/darwin-arm64" "2.9.7"
"@turbo/linux-64" "2.9.7"
"@turbo/linux-arm64" "2.9.7"
"@turbo/windows-64" "2.9.7"
"@turbo/windows-arm64" "2.9.7"
type-check@^0.4.0, type-check@~0.4.0:
version "0.4.0"
@@ -1899,7 +1900,7 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@^10.0.0:
uuid@10.0.0, uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
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@@ -1 +1 @@
__version__ = "0.4.26"
__version__ = "0.4.24"
+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]
+7 -20
View File
@@ -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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name = "langchain-protocol"
version = "0.0.15"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions" },
]
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@@ -677,11 +664,11 @@ wheels = [
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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]
+7 -20
View File
@@ -191,11 +191,10 @@ wheels = [
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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" },
]
@@ -663,11 +650,11 @@ 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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+9 -22
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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@@ -1174,7 +1161,7 @@ wheels = [
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name = "langsmith"
version = "0.8.0"
version = "0.7.32"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx", marker = "python_full_version >= '3.11'" },
@@ -1187,9 +1174,9 @@ dependencies = [
{ name = "xxhash", marker = "python_full_version >= '3.11'" },
{ name = "zstandard", marker = "python_full_version >= '3.11'" },
]
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[package.optional-dependencies]
@@ -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:
+3 -15
View File
@@ -26,15 +26,6 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
"""Reducer channel that stores only a sentinel in checkpoint blobs and
reconstructs state by replaying ancestor writes through the reducer.
!!! warning "Beta"
`DeltaChannel` is in beta. The API and on-disk representation may
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`
metadata field) is not yet stable.
The reducer receives the current accumulated value and a batch of writes
in one call: `reducer(state, [write1, write2, ...]) -> new_state`.
@@ -47,12 +38,9 @@ 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
+41 -16
View File
@@ -249,17 +249,15 @@ def _messages_delta_reducer(
) -> list[AnyMessage]:
"""**Experimental.** Batch reducer for use with `DeltaChannel`.
Processes all writes in one pass — dedup by ID, `RemoveMessage`
tombstoning — without calling `add_messages`.
Provides full `add_messages` parity: dedup by ID, `RemoveMessage`
tombstoning, `REMOVE_ALL_MESSAGES` reset, `BaseMessageChunk` coercion,
and UUID assignment for ID-less messages — all in a single batched pass.
This reducer is batching-invariant, as required by `DeltaChannel`:
`reducer(reducer(state, xs), ys) == reducer(state, xs + ys)`.
Raw dict / string / tuple inputs are coerced to typed `BaseMessage`
objects so that HTTP-driven graphs work without a separate coercion
step. This is not full `add_messages` parity — `REMOVE_ALL_MESSAGES`,
unknown-id `RemoveMessage` errors, missing-id UUID assignment, and
`BaseMessageChunk` conversion are not handled here.
objects so that HTTP-driven graphs work without a separate coercion step.
Example::
@@ -280,24 +278,51 @@ def _messages_delta_reducer(
flat.extend(w)
else:
flat.append(w)
# Steady state: the reducer's own output is already typed, so skip
# `convert_to_messages` on state when the first element is a BaseMessage.
# Steady state: the reducer's own output is already typed BaseMessages
# (never chunks), so skip convert_to_messages on the fast path.
# Only raw input (initial dicts, deserialized blobs) hits the slow path.
if state and isinstance(state[0], BaseMessage):
state_msgs = state
else:
state_msgs = cast("list[AnyMessage]", convert_to_messages(state))
msgs = cast("list[AnyMessage]", convert_to_messages(flat))
state_msgs = cast(
"list[AnyMessage]",
[
message_chunk_to_message(cast(BaseMessageChunk, m))
for m in convert_to_messages(state)
],
)
# Coerce chunks to full messages — streaming nodes can emit BaseMessageChunk.
msgs = cast(
"list[AnyMessage]",
[
message_chunk_to_message(cast(BaseMessageChunk, m))
for m in convert_to_messages(flat)
],
)
index: dict[str, int] = {
m.id: i for i, m in enumerate(state_msgs) if m.id is not None
}
# REMOVE_ALL_MESSAGES resets everything; find the last sentinel and
# discard all state plus all writes before it.
remove_all_idx = None
for idx, m in enumerate(msgs):
if isinstance(m, RemoveMessage) and m.id == REMOVE_ALL_MESSAGES:
remove_all_idx = idx
if remove_all_idx is not None:
state_msgs = []
msgs = msgs[remove_all_idx + 1 :]
# Build index and assign missing IDs in one pass (parity with add_messages
# so that eviction and RemoveMessage tombstoning work on ID-less messages).
index: dict[str, int] = {}
for i, m in enumerate(state_msgs):
if m.id is None:
m.id = str(uuid.uuid4())
index[m.id] = i
result: list[AnyMessage | None] = list(state_msgs)
for msg in msgs:
if msg.id is None:
msg.id = str(uuid.uuid4())
mid = msg.id
if mid is None:
result.append(msg)
elif isinstance(msg, RemoveMessage):
if isinstance(msg, RemoveMessage):
if mid in index:
result[index[mid]] = None
del index[mid]
+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](
+73 -42
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
@@ -34,28 +34,28 @@ def empty_checkpoint() -> Checkpoint:
)
def delta_channels_to_snapshot(
channels: Mapping[str, BaseChannel],
counters_since_delta_snapshot: Mapping[str, tuple[int, int]],
) -> set[str]:
"""Return the set of DeltaChannel names that should snapshot now.
def _should_snapshot_delta(
name: str,
ch: DeltaChannel,
updates_since_snapshot: Mapping[str, int],
*,
force: bool,
) -> bool:
"""Decide whether `ch` should write a `_DeltaSnapshot` this step.
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
predicate — no mutation.
Triggers:
* `force` — always snapshot (used by `durability="exit"`).
* Update-count: this channel has accumulated at least
`snapshot_frequency` updates since its last snapshot. The count
is supplied by the caller via `updates_since_snapshot[name]` and
is reset to `0` whenever a snapshot fires.
Version-format-independent: works for `int`, `float`, and `str`
versioning schemes alike.
"""
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
if force:
return True
return updates_since_snapshot.get(name, 0) >= ch.snapshot_frequency
def create_checkpoint(
@@ -66,19 +66,34 @@ def create_checkpoint(
id: str | None = None,
updated_channels: set[str] | None = None,
get_next_version: GetNextVersion | None = None,
channels_to_snapshot: set[str] | None = None,
force_delta_snapshot: bool = False,
updates_since_snapshot: Mapping[str, int] | None = None,
new_updates_since_snapshot: dict[str, int] | None = None,
) -> Checkpoint:
"""Build a new Checkpoint from the previous one and live channel state.
"""Create a checkpoint for the given channels.
For each name in `channels_to_snapshot`, a `_DeltaSnapshot(value)` blob
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
(no snapshots) when not provided.
For each `DeltaChannel`, a `_DeltaSnapshot(value)` blob is written into
`channel_values[k]` when this channel has accumulated at least
`snapshot_frequency` updates since its last snapshot (counter supplied
via `updates_since_snapshot`). Otherwise the channel is omitted from
`channel_values`; its `channel_versions` entry still bumps so that the
saver tracks the channel and the ancestor walk can replay writes.
Snapshots are eager: even if the channel had no write this step, a
version bump is forced (via `get_next_version`) so `put()` includes
the channel in `new_versions` and stores the blob.
`force_delta_snapshot` ignores the cadence and always snapshots —
used by `durability="exit"` where intermediate writes are not stored
as ancestor `checkpoint_writes`.
If `new_updates_since_snapshot` is provided, the function resets the
counter to `0` for any channel that snapshotted this step. Counters
for channels that did not snapshot are left untouched (the caller is
responsible for incrementing them based on `updated_channels`).
"""
ts = datetime.now(timezone.utc).isoformat()
channels_to_snapshot = channels_to_snapshot or set()
counts = updates_since_snapshot or {}
if channels is None:
values = checkpoint["channel_values"]
channel_versions = checkpoint["channel_versions"]
@@ -89,23 +104,25 @@ def create_checkpoint(
if k not in channel_versions:
continue
ch = channels[k]
if k in channels_to_snapshot:
# In exit mode, the snapshot decision is deferred to exit
# time (intermediate steps have do_checkpoint=False). The
# channel's count may have reached snapshot_frequency over
# several supersteps, but the LAST superstep may not have
# written to this channel. In that case apply_writes()
# (in _algo.py) didn't bump this channel's version, so
# saver.put() wouldn't include it in new_versions and
# the snapshot blob would be silently dropped. The manual
# bump below closes the gap. In sync/async durability this
# branch is effectively dead code (the step that pushes
# the count to freq always writes the channel).
if (
isinstance(ch, DeltaChannel)
and ch.is_available()
and _should_snapshot_delta(
k,
ch,
counts,
force=force_delta_snapshot,
)
):
# Eager snapshot: bump version if not already written this step
# so put() includes this channel in new_versions and stores blob.
if get_next_version is not None and (
updated_channels is None or k not in updated_channels
):
channel_versions[k] = get_next_version(channel_versions[k], None)
values[k] = _DeltaSnapshot(ch.get())
if new_updates_since_snapshot is not None:
new_updates_since_snapshot[k] = 0
else:
v = ch.checkpoint()
if v is not MISSING:
@@ -236,3 +253,17 @@ 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 {})
+42 -333
View File
@@ -100,7 +100,6 @@ from langgraph.pregel._checkpoint import (
channels_from_checkpoint,
copy_checkpoint,
create_checkpoint,
delta_channels_to_snapshot,
empty_checkpoint,
)
from langgraph.pregel._executor import (
@@ -195,46 +194,8 @@ class PregelLoop:
_migrate_checkpoint: Callable[[Checkpoint], None] | None
submit: Submit
channels: Mapping[str, BaseChannel]
# Futures from `checkpointer.put_writes` calls that produced delta-channel
# writes. `_checkpointer_put_after_previous` drains this list (swap to a
# local `futs` then reset to `[]` and wait/gather) before putting the
# next checkpoint, so a checkpoint never becomes durable before the
# writes that produced it. Initialised to `[]` in both sync and async
# `__enter__`; stays `None` only when no checkpointer.
# Only set on AsyncPregelLoop; sync loops keep this as None.
_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
# that will snapshot, then persists the rest under an anchor parent.
# `None` when not in exit mode (so the capture sites are no-ops).
# Each tuple is `(step, task_id, channel, value)` — `step` drives the
# synthetic step-prefixed task_id used to preserve chronological order
# under the saver's `ORDER BY task_id, idx` sorting.
_exit_delta_writes: list[tuple[int, str, str, Any]] | None = None
# The checkpoint_config that points at the parent loaded at `__enter__`
# (or the synthetic-empty checkpoint, on first run). We capture it
# eagerly because every `_put_checkpoint` advances `self.checkpoint_config`
# to the newly-saved checkpoint's id — by exit time the original parent
# config would otherwise be lost. `_put_exit_delta_writes` uses this:
# on resumed runs as the anchor for exit delta writes; on first runs
# to derive the lazy stub's config (its `checkpoint_id` is the
# synthetic-empty id we want the stub persisted under).
_initial_checkpoint_config: RunnableConfig
# True iff the saver actually returned a tuple at `__enter__`. False
# on the first-ever run for a thread (no parent persisted yet).
# `_put_exit_delta_writes` uses this to decide between anchoring on
# the existing parent (True) or creating a lazy stub (False).
_has_persisted_parent: bool = False
managed: ManagedValueMapping
checkpoint: Checkpoint
checkpoint_id_saved: str
@@ -480,13 +441,6 @@ 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 +520,7 @@ 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 +598,7 @@ 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(
@@ -684,11 +637,6 @@ class PregelLoop:
self._emit(
"values", map_output_values, self.output_keys, writes, self.channels
)
# capture delta-channel writes for exit-mode accumulator before clearing
if self._exit_delta_writes is not None:
for tid, ch, v in self.checkpoint_pending_writes:
if isinstance(self.specs.get(ch), DeltaChannel):
self._exit_delta_writes.append((self.step, tid, ch, v))
# clear pending writes
self.checkpoint_pending_writes.clear()
# only replay (re-execute) done tasks on the first tick
@@ -712,88 +660,13 @@ 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
@@ -981,27 +854,6 @@ class PregelLoop:
self.checkpointer_get_next_version,
self.trigger_to_nodes,
)
# Input writes go through `apply_writes` directly (above) — they
# never enter `checkpoint_pending_writes`, so the after_tick
# capture site does not see them. In exit mode, capture them
# here so `_exit_delta_writes` includes the input's delta writes
# alongside per-superstep writes; otherwise the input would be
# lost on read (it's not in final_checkpoint.channel_values for
# sub-freq channels, and walks ignore target.pending_writes).
if self._exit_delta_writes is not None:
for c, v in input_writes:
if isinstance(self.specs.get(c), DeltaChannel):
self._exit_delta_writes.append((self.step, NULL_TASK_ID, c, v))
# Persist delta-channel input writes so sub-freq inputs are
# recoverable via ancestor walk (mirrors the Command input path).
if self.durability != "exit":
delta_input = [
(c, v)
for c, v in input_writes
if isinstance(self.specs.get(c), DeltaChannel)
]
if delta_input:
self.put_writes(NULL_TASK_ID, delta_input)
# save input checkpoint
self.updated_channels = updated_channels
self._put_checkpoint({"source": "input"})
@@ -1053,66 +905,36 @@ class PregelLoop:
return updated_channels
def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
# `is` (object identity) — not `==`. Three of four call sites pass a
# fresh dict ({"source":"input"|"loop"|"fork"}); only
# `_suppress_interrupt`(will rename to _on_loop_exit soon)
# at exit reuses the existing `self.checkpoint_metadata` instance. So
# `metadata is self.checkpoint_metadata` is True only on the exit call,
# which is what we use to gate exit-only behaviour (skip count-bump,
# don't replace metadata). Could be replaced by an explicit
# `exiting: bool = False` parameter; left as-is to match the existing
# idiom in this file.
# TODO: replace with an explicit `exiting: bool = False` parameter.
# assign step and parents
exiting = metadata is self.checkpoint_metadata
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.
#
# `_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,
# `_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.
# Carry per-delta-channel update bookkeeping forward across
# supersteps. Capture from the OLD metadata before potentially
# replacing it with a fresh dict that wouldn't contain it. Then
# increment for any delta channel updated this step (so the count
# reflects "supersteps that wrote to this channel since last
# snapshot"). create_checkpoint will reset entries to 0 for any
# channel that fires a snapshot this step.
prev_counts = dict(
self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
)
new_counts = dict(prev_counts)
if self.updated_channels:
for ch_name in self.updated_channels:
ch_obj = self.channels.get(ch_name)
if isinstance(ch_obj, DeltaChannel):
new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
if not exiting:
prev_counters = dict(
self.checkpoint_metadata.get("counters_since_delta_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)
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 {}
)
# do checkpoint?
do_checkpoint = self._checkpointer_put_after_previous is not None and (
exiting or self.durability != "exit"
)
# create new checkpoint
channels_to_snapshot = (
delta_channels_to_snapshot(self.channels, new_counters)
if do_checkpoint
else set()
)
self.checkpoint = create_checkpoint(
self.checkpoint,
self.channels if do_checkpoint else None,
@@ -1122,15 +944,14 @@ class PregelLoop:
get_next_version=self.checkpointer_get_next_version
if do_checkpoint
else None,
channels_to_snapshot=channels_to_snapshot,
force_delta_snapshot=exiting and self.durability == "exit",
updates_since_snapshot=new_counts,
new_updates_since_snapshot=new_counts,
)
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"]
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()
@@ -1189,99 +1010,6 @@ class PregelLoop:
# increment step
self.step += 1
def _put_exit_delta_writes(self) -> None:
"""Stage stub + accumulated delta writes so final_checkpoint's put
waits on them (visibility invariant: both must be durable before
final_checkpoint becomes visible to readers).
Stub is created lazily — only when no persisted parent exists AND at
least one delta channel has writes that won't be snapshotted.
"""
if (
not self._exit_delta_writes
or self.checkpointer is None
or self._checkpointer_put_after_previous is None
or self.checkpointer_put_writes is None
):
return
counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
)
channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
pending = [
(step, tid, ch, v)
for (step, tid, ch, v) in self._exit_delta_writes
if ch not in channels_to_snapshot
]
if not pending:
return
if self._has_persisted_parent:
# _initial_checkpoint_config's checkpoint_id is the saved parent's
# id (saver returned a real tuple at __enter__).
anchor_config = self._initial_checkpoint_config
else:
stub_cp = empty_checkpoint()
stub_cp["id"] = self.checkpoint_id_saved
stub_cp["ts"] = datetime.now(timezone.utc).isoformat()
# Stub has no parent (checkpoint_id=None in config).
stub_put_config = patch_configurable(
self._initial_checkpoint_config,
{CONFIG_KEY_CHECKPOINT_ID: None},
)
# Anchor config for put_writes: checkpoint_id = stub's id.
anchor_config = patch_configurable(
self._initial_checkpoint_config,
{CONFIG_KEY_CHECKPOINT_ID: stub_cp["id"]},
)
self._put_checkpoint_fut = self.submit(
self._checkpointer_put_after_previous,
getattr(self, "_put_checkpoint_fut", None),
stub_put_config,
stub_cp,
{"step": -2},
{},
)
# Set checkpoint_config so final_checkpoint's _put_checkpoint
# sees the stub as its parent.
self.checkpoint_config = anchor_config
# Step-prefixed synthetic task_id preserves chronological superstep
# order under the saver's ORDER BY task_id, idx sorting.
grouped: dict[tuple[int, str], list[tuple[str, Any]]] = {}
for step, tid, ch, v in pending:
grouped.setdefault((step, tid), []).append((ch, v))
anchor_write_config = patch_configurable(
anchor_config,
{
CONFIG_KEY_CHECKPOINT_NS: self.config[CONF].get(
CONFIG_KEY_CHECKPOINT_NS, ""
),
CONFIG_KEY_CHECKPOINT_ID: anchor_config[CONF][CONFIG_KEY_CHECKPOINT_ID],
},
)
for (step, tid), entries in grouped.items():
synth_tid = f"{step:08d}-{tid}"
if self.checkpointer_put_writes_accepts_task_path:
fut = self.submit(
self.checkpointer_put_writes,
anchor_write_config,
entries,
synth_tid,
"",
)
else:
fut = self.submit(
self.checkpointer_put_writes,
anchor_write_config,
entries,
synth_tid,
)
if self._delta_write_futs is not None:
self._delta_write_futs.append(fut)
def _suppress_interrupt(
self,
exc_type: type[BaseException] | None,
@@ -1297,7 +1025,6 @@ class PregelLoop:
# or a nested graph with checkpointer=True
or all(NS_END not in part for part in self.checkpoint_ns)
):
self._put_exit_delta_writes()
self._put_checkpoint(self.checkpoint_metadata)
self._put_pending_writes()
# suppress interrupt
@@ -1503,9 +1230,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
metadata: CheckpointMetadata,
new_versions: ChannelVersions,
) -> RunnableConfig:
if self._delta_write_futs:
futs, self._delta_write_futs = self._delta_write_futs, []
concurrent.futures.wait(futs)
try:
if prev is not None:
prev.result()
@@ -1543,10 +1267,12 @@ 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 +1295,7 @@ 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
@@ -1621,10 +1347,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
# graph/thread. Returns None on first invocation.
saved = self.checkpointer.get_tuple(self.checkpoint_config)
# Capture before the synthetic-empty fallback below overwrites `saved`.
# `_put_exit_delta_writes` uses this on first run (no persisted parent)
# to lazy-create a stub instead of anchoring delta writes on a parent.
self._has_persisted_parent = saved is not None
if saved is None:
saved = CheckpointTuple(
self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1640,7 +1362,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
**saved.config.get(CONF, {}),
},
}
self._initial_checkpoint_config = self.checkpoint_config
self.prev_checkpoint_config = saved.parent_config
self.checkpoint_id_saved = saved.checkpoint["id"]
self.checkpoint = saved.checkpoint
@@ -1650,11 +1371,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
if saved.pending_writes is not None
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
)
self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
self.channels, self.managed = channels_from_checkpoint(
self.specs,
@@ -1797,10 +1513,12 @@ 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 +1541,7 @@ 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
@@ -1878,10 +1596,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
# graph/thread. Returns None on first invocation.
saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
# Capture before the synthetic-empty fallback below overwrites `saved`.
# `_put_exit_delta_writes` uses this on first run (no persisted parent)
# to lazy-create a stub instead of anchoring delta writes on a parent.
self._has_persisted_parent = saved is not None
if saved is None:
saved = CheckpointTuple(
self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1897,7 +1611,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
**saved.config.get(CONF, {}),
},
}
self._initial_checkpoint_config = self.checkpoint_config
self.prev_checkpoint_config = saved.parent_config
self.checkpoint_id_saved = saved.checkpoint["id"]
self.checkpoint = saved.checkpoint
@@ -1908,10 +1621,6 @@ 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
)
self.submit = await self.stack.enter_async_context(
AsyncBackgroundExecutor(self.config)
)
+1 -30
View File
@@ -10,7 +10,7 @@ from typing import (
from uuid import UUID, uuid4
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.messages import BaseMessage, ToolMessage
from langchain_core.messages import BaseMessage
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
from pydantic import BaseModel
@@ -303,35 +303,6 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
super().__init__(stream, subgraphs, parent_ns=parent_ns)
self._streamed_run_ids: set[UUID] = set()
def _find_and_emit_messages(self, meta: Meta, response: Any) -> None:
"""Like the v1 handler, but skip ToolMessage from node outputs.
Tool results belong on the tools channel / state in v3; v2-flagged streams
must not replay finalized ToolMessages as chat tokens (see MessagesTransformer).
Legacy v1-only `stream_mode="messages"` still emits ToolMessages (see subgraph
streaming tests).
"""
if isinstance(response, BaseMessage) and not isinstance(response, ToolMessage):
self._emit(meta, response, dedupe=True)
elif isinstance(response, Sequence):
for value in response:
if isinstance(value, BaseMessage) and not isinstance(
value, ToolMessage
):
self._emit(meta, value, dedupe=True)
else:
for value in _state_values(response):
if isinstance(value, BaseMessage) and not isinstance(
value, ToolMessage
):
self._emit(meta, value, dedupe=True)
elif isinstance(value, Sequence):
for item in value:
if isinstance(item, BaseMessage) and not isinstance(
item, ToolMessage
):
self._emit(meta, item, dedupe=True)
def on_llm_end(
self,
response: LLMResult,
+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:
+5 -30
View File
@@ -62,14 +62,6 @@ class StreamMux:
`extensions`, `_native` keys are recorded in `native_keys`, and
any StreamChannel instances are bound and (if named) wired.
Transformers with `StreamTransformer.before_builtins = True` are
registered ahead of the rest, preserving relative order within
each lane. This lets content-mutating transformers (PII
redaction, content filters, etc.) run before built-ins like
`MessagesTransformer` that eagerly snapshot text fields into
their projections. See `StreamTransformer.before_builtins` for
the contract and foot-guns.
Args:
transformers: Already-built transformer instances. Registered
only on this mux — they are NOT cloned into child
@@ -120,31 +112,14 @@ class StreamMux:
self._pump_fn: Callable[[], bool] | None = None
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
# Factories run first (they propagate to child mini-muxes via
# `_make_child`), then any pre-built `transformers=` instances
# are registered as root-only — they aren't cloned for child
# scopes. Within each group, transformers with
# `before_builtins = True` are registered ahead of the rest so
# they observe (and may mutate) events before built-ins like
# `MessagesTransformer`. The order *within* each lane matches
# the supplied sequence.
pre: list[StreamTransformer] = []
rest: list[StreamTransformer] = []
# Factories run first (they propagate to child mini-muxes
# via `_make_child`), then any pre-built `transformers=`
# instances are registered as root-only — they aren't cloned
# for child scopes.
if factories is not None:
for factory in factories:
transformer = factory(scope)
(
pre if getattr(transformer, "before_builtins", False) else rest
).append(transformer)
for transformer in (*pre, *rest):
self._register(transformer)
pre.clear()
rest.clear()
self._register(factory(scope))
for transformer in transformers or ():
(pre if getattr(transformer, "before_builtins", False) else rest).append(
transformer
)
for transformer in (*pre, *rest):
self._register(transformer)
def transformer_by_key(self, key: str) -> StreamTransformer | None:
-17
View File
@@ -91,28 +91,11 @@ class StreamTransformer(ABC):
which modes a `stream_events(version="v3")` run requests from the graph.
Empty tuple means the transformer consumes only synthetic
events (or is purely passive).
before_builtins: Opt-in for transformers that must run *before*
built-in transformers like `MessagesTransformer` and
`ToolCallTransformer`. The mux partitions factories by this
flag at registration time: `before_builtins = True`
transformers are registered first, then everything else in
the order supplied. Within each lane, registration order is
preserved. This is the supported hook for content-mutating
transformers (PII redaction, profanity filters, etc.) whose
mutations must land before built-ins eagerly snapshot text
fields into their projections. **Foot-gun:** transformers
in this lane see `tasks` events before `LifecycleTransformer`
and `SubgraphTransformer` consume them — mutating
`event["params"]["namespace"]` or the data dict's
`id` / `result` / `error` / `interrupts` fields will desync
their bookkeeping. Observe freely; mutate only fields no
built-in reads (e.g. `delta.text` on `messages` events).
"""
requires_async: ClassVar[bool] = False
supports_sync: ClassVar[bool] = False
required_stream_modes: ClassVar[tuple[str, ...]] = ()
before_builtins: ClassVar[bool] = False
def __init__(self, scope: tuple[str, ...] = ()) -> None:
"""Initialize the transformer with its mux's scope.
@@ -8,7 +8,7 @@ from langchain_core.language_models.chat_model_stream import (
AsyncChatModelStream,
ChatModelStream,
)
from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
from langchain_core.messages import AIMessageChunk, BaseMessage
from langchain_protocol.protocol import MessagesData
from typing_extensions import NotRequired, TypedDict
@@ -203,7 +203,6 @@ class MessagesTransformer(StreamTransformer):
# Correlate protocol events back to a ChatModelStream by run_id
# (attached to the event's metadata by StreamMessagesHandler).
self._by_run: dict[str, ChatModelStream] = {}
self._ignored_runs: set[str] = set()
self._pump_fn: Callable[[], bool] | None = None
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
# Cached as a list once for cheap equality with the protocol
@@ -277,10 +276,8 @@ class MessagesTransformer(StreamTransformer):
self._route_protocol_event(
cast("MessagesData", payload), run_id=run_id, node=node
)
elif (
isinstance(payload, BaseMessage)
and not isinstance(payload, AIMessageChunk)
and not isinstance(payload, ToolMessage)
elif isinstance(payload, BaseMessage) and not isinstance(
payload, AIMessageChunk
):
self._route_whole_message(payload, node=node)
# Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
@@ -298,11 +295,6 @@ class MessagesTransformer(StreamTransformer):
) -> None:
event_type = event.get("event")
if event_type == "message-start":
# Tool results are exposed on the tools projection and state
# snapshots; run.messages is the chat-token projection.
if event.get("role") == "tool":
self._ignored_runs.add(run_id)
return
message_id = event.get("message_id")
stream = self._make_stream(
namespace=[],
@@ -312,9 +304,6 @@ class MessagesTransformer(StreamTransformer):
self._by_run[run_id] = stream
self._log.push(stream)
stream.dispatch(event)
elif run_id in self._ignored_runs:
if event_type == "message-finish":
self._ignored_runs.discard(run_id)
elif run_id in self._by_run:
stream = self._by_run[run_id]
stream.dispatch(event)
@@ -330,14 +319,12 @@ class MessagesTransformer(StreamTransformer):
def finalize(self) -> None:
"""Clear any routing state — streams close themselves via `message-finish`."""
self._by_run.clear()
self._ignored_runs.clear()
def fail(self, err: BaseException) -> None:
"""Propagate run error to any streams still open when the graph fails."""
for stream in list(self._by_run.values()):
stream.fail(err)
self._by_run.clear()
self._ignored_runs.clear()
SubgraphStatus = Literal["started", "completed", "failed", "interrupted", "drained"]
+4 -4
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.1"
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",
]
+62 -2
View File
@@ -3,7 +3,12 @@ from collections.abc import Sequence
from typing import Annotated
import pytest
from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
HumanMessage,
RemoveMessage,
)
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from typing_extensions import NotRequired, TypedDict
@@ -16,7 +21,7 @@ from langgraph.channels.topic import Topic
from langgraph.channels.untracked_value import UntrackedValue
from langgraph.errors import EmptyChannelError, InvalidUpdateError
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
from langgraph.graph.message import REMOVE_ALL_MESSAGES, _messages_delta_reducer
from langgraph.graph.state import _get_channel
from langgraph.types import Overwrite
@@ -284,6 +289,61 @@ def test_messages_delta_reducer_tuple_write_is_one_message() -> None:
assert result[0].content == "hi"
def test_messages_delta_reducer_assigns_uuid_to_id_less_messages() -> None:
"""Messages without IDs get UUIDs assigned, matching add_messages behavior.
Without UUID assignment, RemoveMessage tombstoning fails on messages that
were created without explicit IDs.
"""
m1 = HumanMessage(content="hi")
m2 = AIMessage(content="hello")
assert m1.id is None
assert m2.id is None
result = _messages_delta_reducer([], [[m1, m2]])
assert len(result) == 2
assert result[0].id is not None
assert result[1].id is not None
# RemoveMessage tombstoning must work on the now-assigned IDs.
result2 = _messages_delta_reducer(result, [RemoveMessage(id=result[1].id)])
assert len(result2) == 1
assert result2[0].content == "hi"
def test_messages_delta_reducer_remove_all_messages() -> None:
"""REMOVE_ALL_MESSAGES sentinel clears all state and preceding writes."""
state = [HumanMessage(content="old", id="h1"), AIMessage(content="prior", id="a1")]
# Sentinel mid-batch: everything before it (including state) is discarded.
result = _messages_delta_reducer(
state,
[
[
RemoveMessage(id=REMOVE_ALL_MESSAGES),
HumanMessage(content="fresh", id="h2"),
]
],
)
assert len(result) == 1
assert result[0].content == "fresh"
# Batching-invariant: split across two calls must equal one combined call.
step1 = _messages_delta_reducer(state, [[RemoveMessage(id=REMOVE_ALL_MESSAGES)]])
step2 = _messages_delta_reducer(step1, [[HumanMessage(content="fresh", id="h2")]])
assert step2 == result
def test_messages_delta_reducer_coerces_message_chunks() -> None:
"""BaseMessageChunk writes are coerced to full messages."""
chunk = AIMessageChunk(content="hello", id="a1")
result = _messages_delta_reducer([], [[chunk]])
assert len(result) == 1
assert not isinstance(result[0], AIMessageChunk)
assert result[0].content == "hello"
assert result[0].id == "a1"
def test_delta_channel_checkpoint_returns_missing() -> None:
"""checkpoint() always returns MISSING regardless of state.
@@ -1,372 +0,0 @@
"""Tests for exit-mode delta channel persistence redesign.
Validates that `durability="exit"` correctly persists delta-channel writes
using count-based snapshot decisions (rather than force-snapshotting every
channel), lazy stub creation when no parent exists, and proper read-path
reconstruction via ancestor walks.
"""
from typing import Annotated, Any
import pytest
from langchain_core.messages import AIMessage, HumanMessage
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 START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
pytestmark = pytest.mark.anyio
def _build_graph(
checkpointer: InMemorySaver,
*,
freq: int = 1000,
) -> Any:
channel = DeltaChannel(_messages_delta_reducer, snapshot_frequency=freq)
# Functional TypedDict form: class form can't reference `channel` (a
# local variable) inside Annotated due to forward-ref evaluation rules.
State = TypedDict("State", {"messages": Annotated[list, channel]}) # type: ignore[call-overload] # noqa: UP013
def respond(state: dict) -> dict:
i = len(state["messages"])
return {"messages": [AIMessage(content=f"reply-{i}", id=f"ai{i}")]}
builder = StateGraph(State)
builder.add_node("respond", respond)
builder.add_edge(START, "respond")
return builder.compile(checkpointer=checkpointer)
# ---------------------------------------------------------------------------
# 8a. Write-path / structural tests
# ---------------------------------------------------------------------------
async def test_exit_first_run_no_delta_writes() -> None:
"""Graph with delta channel invoked with input that doesn't touch it.
Only one checkpoint row, no stub."""
State = TypedDict( # noqa: UP013
"State",
{
"messages": Annotated[list, DeltaChannel(_messages_delta_reducer)],
"value": str,
},
) # type: ignore[call-overload]
def noop(state: dict) -> dict:
return {"value": "done"}
saver = InMemorySaver()
builder = StateGraph(State)
builder.add_node("noop", noop)
builder.add_edge(START, "noop")
graph = builder.compile(checkpointer=saver)
config = {"configurable": {"thread_id": "no-delta-writes"}}
graph.invoke({"value": "start"}, config, durability="exit")
checkpoints = list(saver.list(config))
assert len(checkpoints) == 1
stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
assert len(stubs) == 0
async def test_exit_first_run_all_snapshot() -> None:
"""snapshot_frequency=1 forces every channel to snapshot.
No stub needed; final_checkpoint has _DeltaSnapshot."""
saver = InMemorySaver()
graph = _build_graph(saver, freq=1)
config = {"configurable": {"thread_id": "all-snapshot"}}
result = graph.invoke(
{"messages": [HumanMessage(content="hi", id="h1")]},
config,
durability="exit",
)
assert len(result["messages"]) == 2
checkpoints = list(saver.list(config))
stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
assert len(stubs) == 0
head = saver.get_tuple(config)
assert head is not None
assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["hi", "reply-1"]
async def test_exit_first_run_sub_freq_with_writes() -> None:
"""First run with default snapshot_frequency (1000), writes below threshold.
A stub is created; writes are anchored under it; get_state reconstructs."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "sub-freq-first"}}
result = graph.invoke(
{"messages": [HumanMessage(content="hello", id="h1")]},
config,
durability="exit",
)
assert [m.content for m in result["messages"]] == ["hello", "reply-1"]
checkpoints = list(saver.list(config))
stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
assert len(stubs) == 1, f"Expected 1 stub, got {len(stubs)}"
head = saver.get_tuple(config)
assert head is not None
assert "messages" not in head.checkpoint["channel_values"]
assert "messages" in head.checkpoint["channel_versions"]
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["hello", "reply-1"]
async def test_exit_resumed_run_sub_freq() -> None:
"""Two consecutive exit runs. Second run anchors on the first's
final_checkpoint (no new stub). Ordering preserved."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "resumed-sub-freq"}}
graph.invoke(
{"messages": [HumanMessage(content="msg1", id="h1")]},
config,
durability="exit",
)
graph.invoke(
{"messages": [HumanMessage(content="msg2", id="h2")]},
config,
durability="exit",
)
checkpoints = list(saver.list(config))
stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
assert len(stubs) == 1
state = graph.get_state(config)
contents = [m.content for m in state.values["messages"]]
assert len(contents) == 4
assert contents[0] == "msg1"
assert contents[2] == "msg2"
assert contents[0:4:2] == ["msg1", "msg2"]
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."""
for durability in ("sync", "exit"):
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": f"parity-{durability}"}}
graph.invoke(
{"messages": [HumanMessage(content="hi", id="h1")]},
config,
durability=durability,
)
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}"
)
async def test_exit_snapshot_fires_at_frequency() -> None:
"""With snapshot_frequency=3, after 3 exit runs (each incrementing count
by 2: input + superstep), the 2nd run hits count=4>=3, triggering snapshot.
After that run, count resets to 0 and channel_values has _DeltaSnapshot."""
saver = InMemorySaver()
graph = _build_graph(saver, freq=3)
config = {"configurable": {"thread_id": "snapshot-at-freq"}}
graph.invoke(
{"messages": [HumanMessage(content="m1", id="h1")]},
config,
durability="exit",
)
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
graph.invoke(
{"messages": [HumanMessage(content="m2", id="h2")]},
config,
durability="exit",
)
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}"
assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
async def test_exit_mixed_snapshot_and_non_snapshot() -> None:
"""One delta channel at freq=1 (always snapshot) and one at freq=1000
(never snapshot within this test). Verify correct behavior for both."""
fast_ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=1)
slow_ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=1000)
State = TypedDict( # noqa: UP013
"State",
{"fast": Annotated[list, fast_ch], "slow": Annotated[list, slow_ch]},
) # type: ignore[call-overload]
def respond(state: dict) -> dict:
return {
"fast": [AIMessage(content="fast-reply", id="f1")],
"slow": [AIMessage(content="slow-reply", id="s1")],
}
saver = InMemorySaver()
builder = StateGraph(State)
builder.add_node("respond", respond)
builder.add_edge(START, "respond")
graph = builder.compile(checkpointer=saver)
config = {"configurable": {"thread_id": "mixed-freq"}}
graph.invoke(
{
"fast": [HumanMessage(content="fast-in", id="fi")],
"slow": [HumanMessage(content="slow-in", id="si")],
},
config,
durability="exit",
)
head = saver.get_tuple(config)
assert head is not None
assert isinstance(head.checkpoint["channel_values"].get("fast"), _DeltaSnapshot)
assert "slow" not in head.checkpoint["channel_values"]
state = graph.get_state(config)
assert [m.content for m in state.values["fast"]] == ["fast-in", "fast-reply"]
assert [m.content for m in state.values["slow"]] == ["slow-in", "slow-reply"]
# ---------------------------------------------------------------------------
# 8b. Read-path tests
# ---------------------------------------------------------------------------
async def test_exit_multi_run_replay_chain() -> None:
"""K=4 consecutive exit runs, each adding a message. After each run,
get_state returns all messages in chronological order."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "replay-chain"}}
for i in range(4):
graph.invoke(
{"messages": [HumanMessage(content=f"user-{i}", id=f"h{i}")]},
config,
durability="exit",
)
state = graph.get_state(config)
contents = [m.content for m in state.values["messages"]]
user_msgs = [c for c in contents if c.startswith("user-")]
assert user_msgs == [f"user-{j}" for j in range(i + 1)], (
f"After run {i}: user messages out of order: {user_msgs}"
)
assert len(contents) == (i + 1) * 2
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."""
freq = 5
saver = InMemorySaver()
graph = _build_graph(saver, freq=freq)
config = {"configurable": {"thread_id": "metadata-rt"}}
for i in range(1, 6):
graph.invoke(
{"messages": [HumanMessage(content=f"m{i}", id=f"h{i}")]},
config,
durability="exit",
)
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]
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"
)
else:
assert updates == cumulative, (
f"After run {i}: expected {cumulative}, got {updates}"
)
async def test_exit_mixed_durability_round_trip() -> None:
"""Alternate sync and exit durability; verify counts stay monotonic
and state accumulates correctly."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "mixed-durability"}}
for i, dur in enumerate(["sync", "exit", "sync", "exit"]):
graph.invoke(
{"messages": [HumanMessage(content=f"msg-{i}", id=f"h{i}")]},
config,
durability=dur,
)
state = graph.get_state(config)
contents = [m.content for m in state.values["messages"]]
user_msgs = [c for c in contents if c.startswith("msg-")]
assert user_msgs == [f"msg-{j}" for j in range(i + 1)], (
f"After run {i} (durability={dur}): {user_msgs}"
)
assert len(contents) == (i + 1) * 2
async def test_exit_snapshot_then_tail_deltas() -> None:
"""Run 1 forces snapshot (freq=1). Run 2 at freq=1000 adds more writes
that don't snapshot. Reading after run 2 must combine the snapshot seed
with the tail deltas."""
saver = InMemorySaver()
graph1 = _build_graph(saver, freq=1)
config = {"configurable": {"thread_id": "snapshot-then-tail"}}
graph1.invoke(
{"messages": [HumanMessage(content="seed-msg", id="h1")]},
config,
durability="exit",
)
head = saver.get_tuple(config)
assert head is not None
assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
graph2 = _build_graph(saver, freq=1000)
graph2.invoke(
{"messages": [HumanMessage(content="tail-msg", id="h2")]},
config,
durability="exit",
)
state = graph2.get_state(config)
contents = [m.content for m in state.values["messages"]]
assert "seed-msg" in contents
assert "tail-msg" in contents
assert contents.index("seed-msg") < contents.index("tail-msg")
@@ -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 1–2 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"]
@@ -1,296 +0,0 @@
"""Tests for `StreamTransformer.before_builtins` lane ordering.
`before_builtins = True` transformers are registered ahead of the
rest, preserving relative order within each lane. This lets
content-mutating transformers run before built-ins like
`MessagesTransformer` that eagerly snapshot text fields into their
projections.
"""
from __future__ import annotations
import time
from typing import Any, ClassVar
from langgraph.stream._mux import StreamMux
from langgraph.stream._types import StreamTransformer
from langgraph.stream.stream_channel import StreamChannel
from langgraph.stream.transformers import (
LifecycleTransformer,
MessagesTransformer,
TasksTransformer,
)
TS = int(time.time() * 1000)
def _messages_event(namespace: list[str], data: Any) -> dict[str, Any]:
return {
"type": "event",
"method": "messages",
"params": {"namespace": namespace, "timestamp": TS, "data": data},
}
class _Tap(StreamTransformer):
"""Records the order it observed each event."""
required_stream_modes: ClassVar[tuple[str, ...]] = ()
def __init__(self, scope: tuple[str, ...] = (), *, label: str = "tap") -> None:
super().__init__(scope)
self.label = label
self.log: list[str] = []
self._channel: StreamChannel[str] = StreamChannel()
def init(self) -> dict[str, Any]:
return {f"tap_{self.label}": self._channel}
def process(self, event: dict[str, Any]) -> bool:
self.log.append(self.label)
return True
class _PreTap(_Tap):
before_builtins: ClassVar[bool] = True
class _TextRedactor(StreamTransformer):
"""Mutates `text-delta` events in place to a fixed redacted string."""
before_builtins: ClassVar[bool] = True
required_stream_modes: ClassVar[tuple[str, ...]] = ("messages",)
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope)
self._channel: StreamChannel[str] = StreamChannel()
def init(self) -> dict[str, Any]:
return {"redactor": self._channel}
def process(self, event: dict[str, Any]) -> bool:
if event.get("method") != "messages":
return True
payload, _meta = event["params"]["data"]
if isinstance(payload, dict) and payload.get("event") == "content-block-delta":
delta = payload.get("delta") or {}
if delta.get("type") == "text-delta":
delta["text"] = "[REDACTED]"
return True
def test_before_builtins_factories_run_before_others() -> None:
"""A `before_builtins=True` factory is registered ahead of the rest."""
seen: list[type[StreamTransformer]] = []
class _PostTap(_Tap):
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope, label="post")
def process(self, event: dict[str, Any]) -> bool:
seen.append(_PostTap)
return True
class _EagerTap(_Tap):
before_builtins: ClassVar[bool] = True
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope, label="eager")
def process(self, event: dict[str, Any]) -> bool:
seen.append(_EagerTap)
return True
mux = StreamMux(
factories=[_PostTap, _EagerTap],
scope=(),
is_async=False,
)
# `_EagerTap` was supplied second but should be registered first.
types_in_order = [type(t) for t in mux._transformers]
assert types_in_order.index(_EagerTap) < types_in_order.index(_PostTap)
mux.push(
_messages_event([], ({"event": "message-start", "role": "ai", "id": "m1"}, {}))
)
# And it ran first when the event was dispatched.
assert seen == [_EagerTap, _PostTap]
def test_within_lane_order_preserved() -> None:
"""Within each lane, the supplied order is the registration order."""
class _A(_PreTap):
pass
class _B(_PreTap):
pass
class _C(_Tap):
pass
class _D(_Tap):
pass
mux = StreamMux(
factories=[
lambda scope: _C(scope, label="c"),
lambda scope: _A(scope, label="a"),
lambda scope: _D(scope, label="d"),
lambda scope: _B(scope, label="b"),
],
scope=(),
is_async=False,
)
order = [t.label for t in mux._transformers] # type: ignore[attr-defined]
# Pre lane (a, b) ahead of default lane (c, d). Within each, supplied order kept.
assert order == ["a", "b", "c", "d"]
def test_redactor_runs_before_messages_transformer() -> None:
"""Content mutated by a pre-lane transformer reaches `MessagesTransformer`."""
# Order supplied: built-ins first (as in pregel/main.py), then the
# opt-in pre-lane redactor. Partitioning should still register the
# redactor first.
mux = StreamMux(
factories=[MessagesTransformer, _TextRedactor],
scope=(),
is_async=False,
)
types_in_order = [type(t) for t in mux._transformers]
assert types_in_order.index(_TextRedactor) < types_in_order.index(
MessagesTransformer
)
def test_lifecycle_unaffected_by_pre_lane_observer() -> None:
"""An observer-only pre-lane transformer doesn't break lifecycle bookkeeping."""
class _NoopPreObserver(StreamTransformer):
before_builtins: ClassVar[bool] = True
required_stream_modes: ClassVar[tuple[str, ...]] = ("tasks",)
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope)
self._channel: StreamChannel[str] = StreamChannel()
self.seen: list[tuple[str, ...]] = []
def init(self) -> dict[str, Any]:
return {"noop_observer": self._channel}
def process(self, event: dict[str, Any]) -> bool:
if event.get("method") == "tasks":
self.seen.append(tuple(event["params"]["namespace"]))
return True
mux = StreamMux(
factories=[LifecycleTransformer, TasksTransformer, _NoopPreObserver],
scope=(),
is_async=False,
)
types_in_order = [type(t) for t in mux._transformers]
assert types_in_order.index(_NoopPreObserver) < types_in_order.index(
LifecycleTransformer
)
observer = next(t for t in mux._transformers if isinstance(t, _NoopPreObserver))
lifecycle = next(
t for t in mux._transformers if isinstance(t, LifecycleTransformer)
)
# Push a synthetic `tasks` event that lifecycle would normally track.
mux.push(
{
"type": "event",
"method": "tasks",
"params": {
"namespace": ["child:abc"],
"timestamp": TS,
"data": {"name": "child"},
},
}
)
# Pre-lane observer saw the event, AND lifecycle's bookkeeping still
# registered the new namespace (the observer didn't mutate anything).
assert observer.seen == [("child:abc",)]
assert ("child:abc",) in lifecycle._seen # type: ignore[attr-defined]
def test_default_is_false() -> None:
"""`StreamTransformer.before_builtins` defaults to False."""
assert StreamTransformer.before_builtins is False
assert MessagesTransformer.before_builtins is False
assert LifecycleTransformer.before_builtins is False
def test_pre_lane_mutation_lands_in_messages_projection() -> None:
"""End-to-end: text mutated by a pre-lane transformer is what
`MessagesTransformer` snapshots into its `ChatModelStream` projection.
Without `before_builtins`, the redactor would run after
MessagesTransformer's eager extraction and the projection would
contain the raw, un-redacted text.
"""
mux = StreamMux(
factories=[MessagesTransformer, _TextRedactor],
scope=(),
is_async=False,
)
messages_transformer = next(
t for t in mux._transformers if isinstance(t, MessagesTransformer)
)
# Unblock both the mux's main log and the messages projection log so
# synthetic pushes are accepted without a real consumer attached.
mux._events._subscribed = True
messages_transformer._log._subscribed = True
meta = {"langgraph_node": "model", "run_id": "run-1"}
# message-start → MessagesTransformer creates a ChatModelStream.
mux.push(
_messages_event(
[],
({"event": "message-start", "role": "ai", "id": "msg-1"}, meta),
)
)
# content-block-delta carrying the secret. The redactor (pre-lane)
# mutates `delta.text` BEFORE MessagesTransformer snapshots it.
mux.push(
_messages_event(
[],
(
{
"event": "content-block-delta",
"index": 0,
"delta": {"type": "text-delta", "text": "secret@example.com"},
},
meta,
),
)
)
# Capture the still-open stream before message-finish removes it from
# MessagesTransformer's `_by_run` dict.
chat_stream = messages_transformer._by_run["run-1"] # type: ignore[attr-defined]
# message-finish → closes the stream.
mux.push(
_messages_event(
[],
({"event": "message-finish"}, meta),
)
)
# The redactor mutated `delta.text` to "[REDACTED]" before
# MessagesTransformer snapshotted the string into the text
# accumulator. Without `before_builtins`, the accumulator would hold
# the raw "secret@example.com".
assert chat_stream._text_acc == "[REDACTED]", ( # type: ignore[attr-defined]
f"expected redacted text in projection, got {chat_stream._text_acc!r}"
)
@@ -12,7 +12,7 @@ from langchain_core.language_models.chat_model_stream import (
AsyncChatModelStream,
ChatModelStream,
)
from langchain_core.messages import AIMessage, AIMessageChunk, ToolMessage
from langchain_core.messages import AIMessage, AIMessageChunk
from langchain_core.runnables import RunnableConfig
from typing_extensions import TypedDict
@@ -213,23 +213,6 @@ class TestProtocolEventRouting:
log.close()
assert _unstamped(log._items) == []
def test_tool_role_protocol_events_are_ignored(self) -> None:
t, log = _make_sync_transformer()
for evt in [
{"event": "message-start", "role": "tool", "message_id": "tool-msg-1"},
{
"event": "content-block-delta",
"index": 0,
"content_block": {"type": "text", "text": "[]"},
},
{"event": "message-finish", "reason": "stop"},
]:
t.process(_proto_event(evt, run_id="tool-run"))
log.close()
assert _unstamped(log._items) == []
assert t._ignored_runs == set()
def test_concurrent_streams_routed_by_run_id(self) -> None:
t, log = _make_sync_transformer()
life_a = _lifecycle(text="aaaa", message_id="run-a")
@@ -290,29 +273,6 @@ class TestWholeMessageFallback:
assert stream.done
assert stream.output.text == "the full answer"
def test_whole_tool_message_is_ignored(self) -> None:
t, log = _make_sync_transformer()
t.process(
{
"type": "event",
"method": "messages",
"params": {
"namespace": [],
"timestamp": TS,
"data": (
ToolMessage(
content="[]",
id="tool-msg-1",
tool_call_id="call_1",
),
{"langgraph_node": "tools"},
),
},
}
)
log.close()
assert _unstamped(log._items) == []
def test_whole_message_has_full_lifecycle(self) -> None:
t, log = _make_sync_transformer()
t.process(_whole_msg("full"))
@@ -889,23 +849,6 @@ class TestStreamMessagesHandlerV2Unit:
assert emitted == []
def test_on_chain_end_does_not_emit_tool_messages(self) -> None:
from uuid import uuid4
from langgraph.pregel._messages import StreamMessagesHandlerV2
emitted: list[Any] = []
handler = StreamMessagesHandlerV2(emitted.append, subgraphs=False)
run_id = uuid4()
handler.metadata[run_id] = ((), {"langgraph_node": "tools"})
handler.on_chain_end(
{"messages": [ToolMessage(content="[]", tool_call_id="call_1")]},
run_id=run_id,
)
assert emitted == []
def test_on_llm_end_dedupes_when_final_message_id_differs(self) -> None:
"""A streamed v2 message should not be emitted again from the final
AIMessage fallback when its final id does not match `message-start`."""
+23 -23
View File
@@ -871,11 +871,11 @@ wheels = [
[[package]]
name = "idna"
version = "3.15"
version = "3.11"
source = { registry = "https://pypi.org/simple" }
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[[package]]
@@ -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" },
]
sdist = { url = "https://files.pythonhosted.org/packages/59/de/679a53472c25860837e32c0442c962fa86e95317a36460e2c9d5c91b17c2/langchain_core-1.4.0.tar.gz", hash = "sha256:1dc341eed802ed9c117c0df3923c991e5e9e226571e5725c194eeb5bd93d1a7f", size = 920260, upload-time = "2026-05-11T18:42:35.919Z" }
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[[package]]
@@ -1382,7 +1382,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.1"
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" },
@@ -1849,14 +1849,14 @@ dev = [
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
lint = [
{ name = "codespell" },
{ name = "mypy", specifier = "==1.20.2" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
test = [
{ name = "pytest" },
@@ -1867,7 +1867,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -1880,9 +1880,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
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[package.optional-dependencies]
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[[package]]
@@ -5,42 +5,12 @@ from __future__ import annotations
from collections.abc import Awaitable, Callable
from typing import Any
from langchain_core.messages import ToolMessage
from langgraph.stream._types import ProtocolEvent, StreamTransformer
from langgraph.stream.stream_channel import StreamChannel
from langgraph.prebuilt._tool_call_stream import ToolCallStream
def _is_serialized_tool_message(value: Any) -> bool:
"""Detect a serialized LangChain `ToolMessage` payload.
Example:
{
"lc": 1,
"type": "constructor",
"id": ["langchain_core", "messages", "ToolMessage"],
"kwargs": {"content": "raw tool result", "tool_call_id": "call_1"},
}
"""
return (
isinstance(value, dict)
and value.get("type") == "constructor"
and isinstance(value.get("id"), list)
and value["id"][-1] == "ToolMessage"
)
def _normalize_tool_output(output: Any) -> Any:
if isinstance(output, ToolMessage):
return output.content
if _is_serialized_tool_message(output):
kwargs = output.get("kwargs")
if isinstance(kwargs, dict):
return kwargs.get("content")
return output
class ToolCallTransformer(StreamTransformer):
"""Project `tools` channel events into `ToolCallStream` handles.
@@ -139,7 +109,7 @@ class ToolCallTransformer(StreamTransformer):
elif event_type == "tool-finished":
stream = self._active.pop(tool_call_id, None)
if stream is not None:
stream._finish(_normalize_tool_output(data.get("output")))
stream._finish(data.get("output"))
elif event_type == "tool-error":
stream = self._active.pop(tool_call_id, None)
if stream is not None:
+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"
@@ -6,7 +6,7 @@ import time
from typing import Annotated, Any
import pytest
from langchain_core.messages import AIMessage, ToolMessage
from langchain_core.messages import AIMessage
from langchain_core.tools import tool
from langgraph.constants import END, START
from langgraph.graph import StateGraph
@@ -128,42 +128,6 @@ class TestToolCallTransformerUnit:
assert stream.error is None
assert "tc1" not in transformer._active
def test_finish_unwraps_tool_message_output(self) -> None:
mux, transformer = _mux()
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
stream = transformer._active["tc1"]
mux.push(
_tool_event(
"tool-finished",
"tc1",
output=ToolMessage(content="done", tool_call_id="tc1"),
)
)
assert stream.completed is True
assert stream.output == "done"
def test_finish_unwraps_serialized_tool_message_output(self) -> None:
mux, transformer = _mux()
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
stream = transformer._active["tc1"]
mux.push(
_tool_event(
"tool-finished",
"tc1",
output={
"lc": 1,
"type": "constructor",
"id": ["langchain_core", "messages", "ToolMessage"],
"kwargs": {
"content": "serialized done",
"tool_call_id": "tc1",
},
},
)
)
assert stream.completed is True
assert stream.output == "serialized done"
def test_error_closes_stream(self) -> None:
mux, transformer = _mux()
mux.push(_tool_event("tool-started", "tc1", tool_name="boom"))
+20 -20
View File
@@ -214,11 +214,11 @@ wheels = [
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@@ -253,7 +253,7 @@ wheels = [
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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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@@ -285,7 +285,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.1"
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" },
@@ -618,14 +618,14 @@ dev = [
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
lint = [
{ name = "codespell" },
{ name = "mypy", specifier = "==1.20.2" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
test = [
{ name = "pytest" },
@@ -636,7 +636,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -649,9 +649,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
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@@ -1490,11 +1490,11 @@ wheels = [
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version = "2.6.3"
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+3 -3
View File
@@ -110,7 +110,7 @@ def get_client(
if url is None:
url = "http://api"
if os.environ.get("__LANGGRAPH_DEFER_LOOPBACK_TRANSPORT") == "true":
transport = get_asgi_transport()(app=None, root_path="/noauth") # ty: ignore[invalid-argument-type]
transport = get_asgi_transport()(app=None, root_path="/noauth") # type: ignore[invalid-argument-type]
_registered_transports.append(transport)
else:
try:
@@ -122,7 +122,7 @@ def get_client(
"Failed to connect to in-process LangGraph server. Deferring configuration.",
exc_info=True,
)
transport = get_asgi_transport()(app=None, root_path="/noauth") # ty: ignore[invalid-argument-type]
transport = get_asgi_transport()(app=None, root_path="/noauth") # type: ignore[invalid-argument-type]
_registered_transports.append(transport)
if transport is None:
@@ -131,7 +131,7 @@ def get_client(
base_url=url,
transport=transport,
timeout=(
httpx.Timeout(timeout) # ty: ignore[invalid-argument-type]
httpx.Timeout(timeout) # type: ignore[arg-type]
if timeout is not None
else httpx.Timeout(connect=5, read=300, write=300, pool=5)
),
-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
)
+1 -1
View File
@@ -49,7 +49,7 @@ async def _wrap_stream_v2(
async for part in raw:
v2 = _sse_to_v2_dict(part.event, part.data)
if v2 is not None:
yield v2 # ty: ignore[invalid-yield]
yield v2
class RunsClient:
@@ -144,9 +144,8 @@ def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
return tz
if isinstance(tz, tzinfo):
# ZoneInfo objects have a .key attribute with the IANA name
key = getattr(tz, "key", None)
if isinstance(key, str):
return key
if hasattr(tz, "key"):
return tz.key # type: ignore[union-attr]
# Fall back to tzname for fixed-offset timezones like datetime.timezone.utc
name = tz.tzname(None)
if name is not None:
@@ -210,7 +209,7 @@ def configure_loopback_transports(app: Any) -> None:
@functools.lru_cache(maxsize=1)
def get_asgi_transport() -> type[httpx.ASGITransport]:
try:
from langgraph_api import asgi_transport # ty: ignore[unresolved-import]
from langgraph_api import asgi_transport # type: ignore[unresolved-import]
return asgi_transport.ASGITransport
except ImportError:
+1 -1
View File
@@ -77,7 +77,7 @@ def get_sync_client(
base_url=url,
transport=transport,
timeout=(
httpx.Timeout(timeout) # ty: ignore[invalid-argument-type]
httpx.Timeout(timeout) # type: ignore[arg-type]
if timeout is not None
else httpx.Timeout(connect=5, read=300, write=300, pool=5)
),
-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
)
+1 -1
View File
@@ -49,7 +49,7 @@ def _wrap_stream_v2_sync(
for part in raw:
v2 = _sse_to_v2_dict(part.event, part.data)
if v2 is not None:
yield v2 # ty: ignore[invalid-yield]
yield v2
class SyncRunsClient:
+5 -8
View File
@@ -16,10 +16,10 @@ T = TypeVar("T")
CacheStatus = Literal["miss", "fresh", "stale", "expired"]
try:
from langgraph_api.cache import ( # ty: ignore[unresolved-import]
from langgraph_api.cache import ( # type: ignore[unresolved-import]
cache_get as _cache_get,
)
from langgraph_api.cache import ( # ty: ignore[unresolved-import]
from langgraph_api.cache import ( # type: ignore[unresolved-import]
cache_set as _cache_set,
)
except ImportError:
@@ -28,8 +28,8 @@ except ImportError:
try:
from langgraph_api.cache import SWRResult # ty: ignore[unresolved-import]
from langgraph_api.cache import swr as _api_swr # ty: ignore[unresolved-import]
from langgraph_api.cache import SWRResult # type: ignore[unresolved-import]
from langgraph_api.cache import swr as _api_swr # type: ignore[unresolved-import]
except ImportError:
_api_swr = None
@@ -40,10 +40,7 @@ except ImportError:
value: T
status: CacheStatus
async def mutate(
self,
value: T = ..., # ty: ignore[invalid-parameter-default]
) -> T: # ty: ignore[empty-body]
async def mutate(self, value: T = ...) -> T: # type: ignore[assignment]
"""Update or revalidate the cached value."""
...
+1 -1
View File
@@ -37,7 +37,7 @@ class APIError(httpx.HTTPStatusError, LangGraphError):
req = response_or_request
response = None
httpx.HTTPStatusError.__init__(self, message, request=req, response=response) # ty: ignore[invalid-argument-type]
httpx.HTTPStatusError.__init__(self, message, request=req, response=response) # type: ignore[arg-type]
LangGraphError.__init__(self, message)
self.request = req
+1 -1
View File
@@ -156,7 +156,7 @@ class _ExecutionRuntime(_ServerRuntimeBase[ContextT], Generic[ContextT]):
This API is in beta and may change in future releases.
"""
context: ContextT = field(default=None) # ty: ignore[invalid-assignment]
context: ContextT = field(default=None) # type: ignore[assignment]
"""The graph run context, typed by the graph's `context_schema`.
Only available during `threads.create_run`.
+3 -3
View File
@@ -55,7 +55,7 @@ class BytesLineDecoder:
# Include any existing buffer in the first portion of the
# splitlines result.
self.buffer.extend(lines[0])
lines = [self.buffer, *lines[1:]]
lines = cast(list[BytesLike], [self.buffer, *lines[1:]])
self.buffer = bytearray()
if not trailing_newline:
@@ -69,7 +69,7 @@ class BytesLineDecoder:
if not self.buffer and not self.trailing_cr:
return []
lines: list[BytesLike] = [self.buffer]
lines = [self.buffer]
self.buffer = bytearray()
self.trailing_cr = False
return lines
@@ -102,7 +102,7 @@ class SSEDecoder:
sse = StreamPart(
event=self._event,
data=orjson.loads(self._data) if self._data else None, # ty: ignore[invalid-argument-type]
data=orjson.loads(self._data) if self._data else None, # type: ignore[invalid-argument-type]
id=self.last_event_id,
)
+1 -1
View File
@@ -33,7 +33,7 @@ lint = [
"ruff==0.15.12",
"codespell",
"mypy==1.20.2",
"ty==0.0.33",
"ty==0.0.23",
"starlette",
]
dev = [
+2 -2
View File
@@ -388,7 +388,7 @@ async def test_async_stream_v2_client_side_conversion() -> None:
event="values", data={"messages": [{"role": "user", "content": "hi"}]}
)
yield StreamPart(event="updates|sub:abc", data={"node": {"out": 1}})
yield StreamPart(event="end", data=None) # ty: ignore[invalid-argument-type]
yield StreamPart(event="end", data=None) # type: ignore[arg-type]
parts: list[StreamPartV2] = [part async for part in _wrap_stream_v2(mock_stream())]
assert len(parts) == 3
@@ -420,7 +420,7 @@ def test_sync_stream_v2_client_side_conversion() -> None:
def mock_stream() -> Any:
yield StreamPart(event="metadata", data={"run_id": "r1"})
yield StreamPart(event="values", data={"state": "full"})
yield StreamPart(event="end", data=None) # ty: ignore[invalid-argument-type]
yield StreamPart(event="end", data=None) # type: ignore[arg-type]
parts: list[StreamPartV2] = list(_wrap_stream_v2_sync(mock_stream()))
assert len(parts) == 2
-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()
+1 -1
View File
@@ -67,6 +67,6 @@ class TestHandlerValidation:
with pytest.raises(TypeError, match="must accept exactly 2 parameters"):
@encryption.encrypt.blob # ty: ignore[invalid-argument-type]
@encryption.encrypt.blob # type: ignore[arg-type]
async def wrong_params(ctx):
return ctx
+36 -36
View File
@@ -227,11 +227,11 @@ wheels = [
[[package]]
name = "idna"
version = "3.15"
version = "3.11"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/82/77/7b3966d0b9d1d31a36ddf1746926a11dface89a83409bf1483f0237aa758/idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc", size = 199245, upload-time = "2026-05-12T22:45:57.011Z" }
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[[package]]
@@ -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" },
]
sdist = { url = "https://files.pythonhosted.org/packages/59/de/679a53472c25860837e32c0442c962fa86e95317a36460e2c9d5c91b17c2/langchain_core-1.4.0.tar.gz", hash = "sha256:1dc341eed802ed9c117c0df3923c991e5e9e226571e5725c194eeb5bd93d1a7f", size = 920260, upload-time = "2026-05-11T18:42:35.919Z" }
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[[package]]
@@ -298,7 +298,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.1"
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" },
@@ -533,14 +533,14 @@ dev = [
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
lint = [
{ name = "codespell" },
{ name = "mypy", specifier = "==1.20.2" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
test = [
{ name = "pytest" },
@@ -551,7 +551,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -564,9 +564,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
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@@ -1275,26 +1275,26 @@ wheels = [
[[package]]
name = "ty"
version = "0.0.33"
version = "0.0.23"
source = { registry = "https://pypi.org/simple" }
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