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Author SHA1 Message Date
Elior Nataf LackritzandGitHub 1431900f7e Merge branch 'main' into fix/delta-replay-task-path-order 2026-08-07 09:50:07 -04:00
e095d9c41a fix: order delta channel replay by task path
DeltaChannel reconstructs its value by replaying ancestor writes through
the reducer. Every saver ordered a checkpoint's writes by (task_id, idx),
but live execution applies them in task-path order: apply_writes sorts a
super-step's tasks by task_path_str(task.path[:3]) before calling
channel.update. task_id is a hash of the path, so the two orders are
unrelated, and two or more tasks writing one DeltaChannel in a single
super-step replayed in an arbitrary permutation.

Reducers are only required to be batching-invariant, not order-invariant,
so the permutation changes the value: get_state disagreed with what invoke
returned, and continuing the thread persisted the reordered replay as the
base for later writes.

Replay now orders by (task_path, task_id, idx), following the precedent
already set for the Send channel by SELECT_PENDING_SENDS_SQL. InMemorySaver
and the postgres savers already persisted task_path and only needed the
sort key; sqlite accepted task_path on put_writes and dropped it, so the
writes table gains the column plus a probe-guarded ALTER for databases
created by earlier versions.

Writes stored without a task_path sort first within their checkpoint, which
is where live execution applies the task-less input writes that carry "".

The graph-level regression tests run against the full async_checkpointer
matrix (memory, sqlite, postgres in three pool modes) because each saver
reconstructs delta channels through its own override; 20 of the 25 cases
fail on main, and the 5 that pass are the sequential control.

Co-authored-by: ErenAta16 <149434812+ErenAta16@users.noreply.github.com>
Co-authored-by: ragnarok268 <58264829+ragnarok268@users.noreply.github.com>
2026-08-05 20:44:07 -04:00
49 changed files with 1463 additions and 2024 deletions
+28 -33
View File
@@ -17,9 +17,6 @@ jobs:
python-version:
- "3.10"
- "3.14"
build_mode:
- layered
- flat
example:
- name: A
workdir: libs/cli/examples
@@ -33,11 +30,9 @@ jobs:
- name: D
workdir: libs/cli/examples/graphs_reqs_b
tag: langgraph-test-d
name: "CLI integration test (${{ matrix.python-version }}, ${{ matrix.example.name }}, ${{ matrix.build_mode }})"
name: "CLI integration test"
env:
BUILD_ARGS: ${{ matrix.build_mode == 'flat' && '--flat' || '' }}
HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
TAG_SUFFIX: ${{ matrix.build_mode == 'flat' && '-flat' || '' }}
defaults:
run:
working-directory: libs/cli
@@ -63,7 +58,7 @@ jobs:
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
working-directory: ${{ matrix.example.workdir }}
run: |
langgraph build $BUILD_ARGS -t ${{ matrix.example.tag }}$TAG_SUFFIX
langgraph build -t ${{ matrix.example.tag }}
- name: Test service ${{ matrix.example.name }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: ${{ matrix.example.workdir }}
@@ -76,98 +71,98 @@ jobs:
if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi
# Run the integration test using the built tag
REPO_ROOT=$(git rev-parse --show-toplevel)
timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}$TAG_SUFFIX
timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}
- name: Build JS service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/js-examples
run: |
langgraph build $BUILD_ARGS -t langgraph-test-e$TAG_SUFFIX
langgraph build -t langgraph-test-e
- name: Build JS monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/js-monorepo-example
run: |
langgraph build $BUILD_ARGS -t langgraph-test-f$TAG_SUFFIX -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
- name: Build Python monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/python-monorepo-example
run: |
langgraph build $BUILD_ARGS -t langgraph-test-g$TAG_SUFFIX -c apps/agent/langgraph.json
langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
- name: Test Python monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/python-monorepo-example
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp apps/agent/.env.example apps/agent/.env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g$TAG_SUFFIX -c apps/agent/langgraph.json
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
- name: Build prerelease reqs service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/examples/graph_prerelease_reqs
run: |
langgraph build $BUILD_ARGS -t langgraph-test-h$TAG_SUFFIX
langgraph build -t langgraph-test-h
- name: Test prerelease reqs service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/examples/graph_prerelease_reqs
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp ../.env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h$TAG_SUFFIX
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
echo "Finished starting up langgraph-test-h"
LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h$TAG_SUFFIX python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
if [ "$LANGGRAPH_VERSION" != "1.1.5" ]; then
echo "LANGGRAPH_VERSION != 1.1.5; $LANGGRAPH_VERSION"
exit 1
fi
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h$TAG_SUFFIX python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
if [ "$LANGCHAIN_OPENAI_VERSION" != "1.1.14" ]; then
echo "LANGCHAIN_OPENAI_VERSION != 1.1.14; $LANGCHAIN_OPENAI_VERSION"
exit 1
fi
LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h$TAG_SUFFIX python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
if [ "$LANGCHAIN_ANTHROPIC_VERSION" != "1.4.6" ]; then
echo "LANGCHAIN_ANTHROPIC_VERSION != 1.4.6; $LANGCHAIN_ANTHROPIC_VERSION"
exit 1
fi
- name: Build and test prerelease reqs fail service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/examples/graph_prerelease_reqs_fail
run: |
langgraph build $BUILD_ARGS -t langgraph-test-i$TAG_SUFFIX || [ $? -eq 1 ]
langgraph build -t langgraph-test-i || [ $? -eq 1 ]
- name: Build uv simple service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/uv-examples/simple
run: |
langgraph build $BUILD_ARGS -t langgraph-test-uv-simple$TAG_SUFFIX
langgraph build -t langgraph-test-uv-simple
- name: Test uv simple service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/uv-examples/simple
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp .env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple$TAG_SUFFIX
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-simple
- name: Build uv monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
working-directory: libs/cli/uv-examples/monorepo/apps/agent
run: |
langgraph build $BUILD_ARGS -t langgraph-test-uv-monorepo$TAG_SUFFIX
langgraph build -t langgraph-test-uv-monorepo
- name: Test uv monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/uv-examples/monorepo/apps/agent
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
cp .env.example .env
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo$TAG_SUFFIX
timeout 60 python ../../../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-uv-monorepo
-6
View File
@@ -76,12 +76,7 @@ __pypackages__/
# Environments
.env
.env.*
.envrc
*.crt
*.key
*.pem
credentials.json
.venv
.venvs
env/
@@ -103,7 +98,6 @@ dmypy.json
.vercel
.turbo
node_modules/
.editorconfig
.scratch
.worktrees/
-8
View File
@@ -2,14 +2,6 @@
This repository is a monorepo. Each library lives in a subdirectory under `libs/`.
<corridor>
## Corridor security analysis
When Corridor's `analyzePlan` tool is available, create a plan and use the tool to analyze it before generating or modifying code. Apply the resulting security guidance before writing code.
</corridor>
When you modify code in any library, run the following commands in that library's directory before creating a pull request:
- `make format` run code formatters
-8
View File
@@ -2,14 +2,6 @@
This repository is a monorepo. Each library lives in a subdirectory under `libs/`.
<corridor>
## Corridor security analysis
Before generating or modifying code, create a plan and use Corridor's `analyzePlan` tool to analyze it. Apply the resulting security guidance before writing code.
</corridor>
When you modify code in any library, run the following commands in that library's directory before creating a pull request:
- `make format` run code formatters
@@ -6,12 +6,9 @@ import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.spec._delta_fixtures import build_delta_chain
from langgraph.checkpoint.conformance.test_utils import generate_metadata
async def test_history_returns_writes_oldest_first(
@@ -51,6 +48,8 @@ async def test_history_seed_is_nearest_snapshot(
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"]
@@ -82,6 +81,11 @@ async def test_history_multi_channel(
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": ""}}
@@ -157,6 +161,11 @@ async def test_history_migration_plain_value_as_seed(
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
@@ -199,71 +208,90 @@ async def test_history_migration_plain_value_as_seed(
assert values == [2], f"Expected [2], got {values}"
async def test_history_seed_ancestor_own_writes_are_replayed(
# Task ids used by the ordering tests below. `build_delta_chain` tags its own
# writes with a `uuid4`, whose hex digits are all <= "f", so "aaaa..." sorts
# before every fixture task id and "zzzz..." sorts after every one of them.
# That makes the expected order fully determined rather than dependent on which
# uuid4 the fixture happened to draw.
TASK_ID_SORTS_FIRST = "aaaaaaaa-0000-0000-0000-000000000000"
TASK_ID_SORTS_LAST = "zzzzzzzz-0000-0000-0000-000000000000"
async def test_history_orders_parallel_writes_by_task_path(
saver: BaseCheckpointSaver,
) -> None:
"""Writes stored AT the seed ancestor must be included in `writes`.
"""Writes from several tasks in one super-step replay in task_path order.
A stored value is the state ENTERING its checkpoint; the writes stored
under that same checkpoint are what produced its child and are therefore
NOT subsumed by it. Only writes at ancestors OLDER than the seed are
subsumed, and the walk terminates before reaching them.
Live execution sorts a super-step's tasks by `task_path_str(path[:3])`
before applying their values, so replay has to recover that order rather
than `task_id` order — `task_id` is a hash of the path, so the two
disagree, and reducers are only required to be batching-invariant, not
order-invariant.
This holds for plain-value seeds (migration from a pre-delta channel type)
exactly as it does for `_DeltaSnapshot` seeds. Skipping the seed
ancestor's own writes silently drops the first post-migration write.
The two task_ids are assigned so they sort in the *opposite* order from
their task_paths. A saver ordering by `(task_id, idx)` therefore returns
these writes reversed, rather than passing by happening to agree.
"""
tid = str(uuid4())
configs: list = []
parent_cfg = None
# Each step's write is labelled by the role it plays, so the assertion
# below reads directly rather than by step index.
writes_by_step = {
0: "older-than-seed", # subsumed by the value stored at step 1
1: "at-seed", # the seed's own write, produced step 2
2: "after-seed", # delta-era write on the path to the head
3: "pending-at-head", # pending for the next step, never replayed
}
# Steps 0 and 1 store a plain value; 1 is the nearest, so it is the seed.
values_by_step = {0: [10], 1: [10, 20]}
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 = {}
if step in values_by_step:
cv["ch"] = values_by_step[step]
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)
await saver.aput_writes(
parent_cfg, [("ch", writes_by_step[step])], str(uuid4())
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
assert "seed" in result["ch"], "Expected seed from plain value at step 1"
assert result["ch"]["seed"] == [10, 20], (
f"Expected nearest plain value [10, 20], got {result['ch']['seed']}"
configs = await build_delta_chain(
saver,
thread_id=str(uuid4()),
channel="ch",
snapshots_at_steps=[0],
total_steps=3,
)
# The chain is: step 0 snapshot (seed), step 1 write, step 2 write.
# `aget_delta_channel_history` walks from the head's parent back to the
# seed, so it collects step 1's writes only — step 0 terminates the walk
# and step 2 is the head, whose own writes are pending for the next
# super-step and excluded. So step 1 is where these writes have to go.
step_1, head = configs[1], configs[2]
await saver.aput_writes(
step_1, [("ch", "second")], TASK_ID_SORTS_FIRST, "~pull, 02"
)
await saver.aput_writes(step_1, [("ch", "first")], TASK_ID_SORTS_LAST, "~pull, 01")
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
values = [w[2] for w in result["ch"]["writes"]]
assert values == ["at-seed", "after-seed"], (
f'Expected ["at-seed", "after-seed"], got {values}'
# 1 is the fixture's own write at step 1. It carries no task_path, so it
# sorts ahead of both writes added above.
assert values == [1, "first", "second"], (
f"Expected task_path order [1, 'first', 'second'], got {values}. "
"Ordering by (task_id, idx) alone yields [1, 'second', 'first']."
)
async def test_history_orders_pathless_writes_first(
saver: BaseCheckpointSaver,
) -> None:
"""Writes stored without a task_path sort ahead of path-carrying ones.
A task-less write (graph input) persists `task_path=""`, as does any row
written before a saver recorded the column. `""` precedes every
`task_path_str` output because that function prefixes tuples with `~`, so
those writes replay first — where live execution applies graph input.
"""
configs = await build_delta_chain(
saver,
thread_id=str(uuid4()),
channel="ch",
snapshots_at_steps=[0],
total_steps=3,
)
# Same chain shape as above: step 1 is the only step the walk collects.
step_1, head = configs[1], configs[2]
# Committed in the opposite order to the one they must replay in, so the
# assertion cannot pass on insertion order alone.
await saver.aput_writes(
step_1, [("ch", "from_node")], TASK_ID_SORTS_FIRST, "~pull, a"
)
await saver.aput_writes(step_1, [("ch", "from_input")], TASK_ID_SORTS_LAST)
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
values = [w[2] for w in result["ch"]["writes"]]
# Both 1 (the fixture's write) and "from_input" are pathless, so they sort
# by task_id among themselves and both precede the path-carrying write.
assert values == [1, "from_input", "from_node"], (
f"Expected pathless writes first, got {values}"
)
@@ -275,7 +303,8 @@ ALL_DELTA_CHANNEL_HISTORY_TESTS = [
test_history_empty_channels_returns_empty,
test_history_walk_to_root_no_seed,
test_history_migration_plain_value_as_seed,
test_history_seed_ancestor_own_writes_are_replayed,
test_history_orders_parallel_writes_by_task_path,
test_history_orders_pathless_writes_first,
]
+1 -1
View File
@@ -279,7 +279,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.1.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -168,6 +168,7 @@ class _DeltaStage2Row(TypedDict, total=False):
type: str | None
blob: bytes | None
task_id: str | None # "w" rows only
task_path: str | None # "w" rows only
idx: int | None # "w" rows only
version: str | None # "b" rows only
@@ -319,7 +320,7 @@ def _build_delta_stage2_sql(
branches.append(
"SELECT 'w'::text AS _kind, "
"checkpoint_id, channel, "
"type, blob, task_id, idx, NULL::text AS version "
"type, blob, task_id, task_path, idx, NULL::text AS version "
"FROM checkpoint_writes "
"WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
"AND checkpoint_id = ANY(%s)"
@@ -327,7 +328,8 @@ 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 "
"type, blob, NULL::text AS task_id, NULL::text AS task_path, "
"NULL::int AS idx, version "
"FROM checkpoint_blobs "
"WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
"AND version = %s"
@@ -492,10 +494,11 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
stored value, or when the seed blob is sentinel "empty" — in both cases
the consumer treats absence as "start empty".
"""
# writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
ch: {} for ch in channels
}
# writes_by_ch_by_cid[channel][cid] = list of
# (type, blob, task_id, idx, task_path)
writes_by_ch_by_cid: dict[
str, dict[str, list[tuple[str, bytes, str, int, str]]]
] = {ch: {} for ch in channels}
# seed_blob_by_ver[(channel, version)] = (type, blob)
seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
@@ -506,8 +509,17 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
cid = cast(str, r["checkpoint_id"])
writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
cast(
"tuple[str, bytes, str, int]",
(r["type"], r["blob"], r["task_id"], r["idx"]),
"tuple[str, bytes, str, int, str]",
(
r["type"],
r["blob"],
r["task_id"],
r["idx"],
# `task_path` is NOT NULL DEFAULT '' on "w" rows;
# it is nullable on `_DeltaStage2Row` only because
# the seed branch selects NULL for it.
r["task_path"],
),
)
)
else: # kind == "b"
@@ -516,10 +528,12 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
"tuple[str, bytes]", (r["type"], r["blob"])
)
# Sort writes per (channel, cid) newest-first by (task_id, idx)
# Sort writes per (channel, cid) newest-first by
# (task_path, task_id, idx) — the order `apply_writes` applied them
# in live, and the order documented on `DeltaChannelHistory`.
for cid_map in writes_by_ch_by_cid.values():
for ws in cid_map.values():
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
ws.sort(key=lambda w: (w[4], w[2], w[3]), reverse=True)
result: dict[str, DeltaChannelHistory] = {}
for ch in channels:
@@ -529,7 +543,9 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
collected: list[PendingWrite] = []
cid_writes = writes_by_ch_by_cid.get(ch, {})
for cid in chain_cids:
for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
for type_tag, write_blob, task_id, _idx, _path in cid_writes.get(
cid, []
):
val = self.serde.loads_typed((type_tag, write_blob))
collected.append((task_id, ch, val))
collected.reverse()
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.1.2"
version = "3.1.1"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
+2 -2
View File
@@ -276,7 +276,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.1.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -351,7 +351,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.2"
version = "3.1.1"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -29,6 +29,11 @@ from langgraph.checkpoint.sqlite._delta import (
build_delta_stage2_sql,
step_walk_with_row,
)
from langgraph.checkpoint.sqlite._schema import (
ADD_WRITES_TASK_PATH_SQL,
DUPLICATE_COLUMN_ERROR,
HAS_WRITES_TASK_PATH_SQL,
)
from langgraph.checkpoint.sqlite.utils import search_where
_AIO_ERROR_MSG = (
@@ -154,6 +159,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
checkpoint_ns TEXT NOT NULL DEFAULT '',
checkpoint_id TEXT NOT NULL,
task_id TEXT NOT NULL,
task_path TEXT NOT NULL DEFAULT '',
idx INTEGER NOT NULL,
channel TEXT NOT NULL,
type TEXT,
@@ -162,6 +168,12 @@ class SqliteSaver(BaseCheckpointSaver[str]):
);
"""
)
if not self.conn.execute(HAS_WRITES_TASK_PATH_SQL).fetchone():
try:
self.conn.execute(ADD_WRITES_TASK_PATH_SQL)
except sqlite3.OperationalError as exc:
if DUPLICATE_COLUMN_ERROR not in str(exc):
raise
self.is_setup = True
@@ -460,9 +472,9 @@ class SqliteSaver(BaseCheckpointSaver[str]):
task_path: Path of the task creating the writes.
"""
query = (
"INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
"INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
if all(w[0] in WRITES_IDX_MAP for w in writes)
else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
)
with self.cursor() as cur:
cur.executemany(
@@ -473,6 +485,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
str(config["configurable"]["checkpoint_ns"]),
str(config["configurable"]["checkpoint_id"]),
task_id,
task_path,
WRITES_IDX_MAP.get(channel, idx),
channel,
*self.serde.dumps_typed(value),
@@ -568,7 +581,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
)
cur.execute(stage2_sql, stage2_params)
stage2_rows = cast(
"list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
"list[tuple[str, str, str, int, str, bytes, str]]", cur.fetchall()
)
else:
stage2_rows = []
@@ -57,7 +57,7 @@ def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
for n in chain_lens:
cid_placeholders = ",".join("?" * n)
branches.append(
"SELECT checkpoint_id, channel, task_id, idx, type, value "
"SELECT checkpoint_id, channel, task_id, idx, type, value, task_path "
"FROM writes "
"WHERE thread_id = ? AND checkpoint_ns = ? AND channel = ? "
f"AND checkpoint_id IN ({cid_placeholders})"
@@ -130,29 +130,33 @@ def build_delta_channels_writes_history(
chain_by_ch: Mapping[str, list[str]],
seed_val_by_ch: Mapping[str, Any],
seeded: set[str],
stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
stage2_rows: Sequence[tuple[str, str, str, int, str, bytes, str]],
serde: Any,
) -> dict[str, DeltaChannelHistory]:
"""Demux stage-2 rows per channel; produce per-channel histories.
Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
Final write order is oldest→newest globally and `(task_id, idx)` within
a checkpoint, matching the contract on `DeltaChannelHistory.writes`.
Stage-2 rows are
`(checkpoint_id, channel, task_id, idx, type, value, task_path)`.
Final write order is oldest→newest globally and
`(task_path, task_id, idx)` within a checkpoint, matching the contract
on `DeltaChannelHistory.writes` — that is the order `apply_writes`
applied them in live, which `(task_id, idx)` alone does not recover
for parallel tasks writing one channel in a single super-step.
`seed` is omitted when the walk reached a true root with no snapshot
found (channel never entered `seeded`); consumers treat absence as
"start empty".
"""
writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
ch: {} for ch in channels
}
for cid, ch, task_id, idx, type_tag, value_blob in stage2_rows:
writes_by_ch_by_cid: dict[
str, dict[str, list[tuple[str, bytes, str, int, str]]]
] = {ch: {} for ch in channels}
for cid, ch, task_id, idx, type_tag, value_blob, task_path in stage2_rows:
writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
(type_tag, value_blob, task_id, idx)
(type_tag, value_blob, task_id, idx, task_path)
)
for cid_map in writes_by_ch_by_cid.values():
for ws in cid_map.values():
ws.sort(key=lambda w: (w[2], w[3]))
ws.sort(key=lambda w: (w[4], w[2], w[3]))
result: dict[str, DeltaChannelHistory] = {}
for ch in channels:
@@ -161,7 +165,7 @@ def build_delta_channels_writes_history(
collected: list[PendingWrite] = []
# Chain is newest-first; iterate oldest-first for the public order.
for cid in reversed(chain_cids):
for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
for type_tag, value_blob, task_id, _idx, _path in cid_writes.get(cid, []):
collected.append(
(task_id, ch, serde.loads_typed((type_tag, value_blob)))
)
@@ -0,0 +1,37 @@
"""Additive schema migrations shared by the sqlite savers.
`SqliteSaver.setup` and `AsyncSqliteSaver.setup` create their tables with
`CREATE TABLE IF NOT EXISTS`, which leaves a database created by an earlier
version on the earlier schema. Sqlite has no `ADD COLUMN IF NOT EXISTS`
(the postgres savers rely on that form), and re-running a plain
`ALTER TABLE ... ADD COLUMN` raises `OperationalError: duplicate column
name`. So each migration pairs an `ALTER` with a probe against
`pragma_table_info` that tells us whether this database still needs it.
Databases created fresh already carry every column from the `CREATE TABLE`
statements, so the probe finds the column and the `ALTER` never runs.
"""
from __future__ import annotations
# `writes.task_path` records the path of the task that produced a write.
# Delta channel replay orders a checkpoint's writes by
# (task_path, task_id, idx) to reproduce the order `apply_writes` applied
# them in live; without the column, replay can only order by
# (task_id, idx), which permutes writes made by parallel tasks in the same
# super-step. Rows written before this migration keep the `''` default and
# so sort ahead of path-carrying rows within their checkpoint.
HAS_WRITES_TASK_PATH_SQL = (
"SELECT 1 FROM pragma_table_info('writes') WHERE name = 'task_path'"
)
ADD_WRITES_TASK_PATH_SQL = (
"ALTER TABLE writes ADD COLUMN task_path TEXT NOT NULL DEFAULT ''"
)
# Substring of the `OperationalError` sqlite raises when the column is already
# there. The probe above is not enough on its own: two connections opening the
# same file can both pass it and both issue the `ALTER`, and unlike
# `CREATE TABLE IF NOT EXISTS` the loser of that race raises. Callers treat it
# as success — whoever won did the same migration.
DUPLICATE_COLUMN_ERROR = "duplicate column name"
@@ -30,6 +30,11 @@ from langgraph.checkpoint.sqlite._delta import (
build_delta_stage2_sql,
step_walk_with_row,
)
from langgraph.checkpoint.sqlite._schema import (
ADD_WRITES_TASK_PATH_SQL,
DUPLICATE_COLUMN_ERROR,
HAS_WRITES_TASK_PATH_SQL,
)
from langgraph.checkpoint.sqlite.utils import search_where
T = TypeVar("T", bound=Callable)
@@ -331,6 +336,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
checkpoint_ns TEXT NOT NULL DEFAULT '',
checkpoint_id TEXT NOT NULL,
task_id TEXT NOT NULL,
task_path TEXT NOT NULL DEFAULT '',
idx INTEGER NOT NULL,
channel TEXT NOT NULL,
type TEXT,
@@ -341,6 +347,16 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
):
await self.conn.commit()
async with self.conn.execute(HAS_WRITES_TASK_PATH_SQL) as cur:
has_task_path = await cur.fetchone() is not None
if not has_task_path:
try:
await self.conn.execute(ADD_WRITES_TASK_PATH_SQL)
except aiosqlite.OperationalError as exc:
if DUPLICATE_COLUMN_ERROR not in str(exc):
raise
await self.conn.commit()
self.is_setup = True
async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
@@ -576,9 +592,9 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
task_path: Path of the task creating the writes.
"""
query = (
"INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
"INSERT OR REPLACE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
if all(w[0] in WRITES_IDX_MAP for w in writes)
else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?)"
else "INSERT OR IGNORE INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id, task_path, idx, channel, type, value) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?)"
)
await self.setup()
async with self.lock, self.conn.cursor() as cur:
@@ -590,6 +606,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
str(config["configurable"]["checkpoint_ns"]),
str(config["configurable"]["checkpoint_id"]),
task_id,
task_path,
WRITES_IDX_MAP.get(channel, idx),
channel,
*self.serde.dumps_typed(value),
@@ -681,7 +698,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
)
await cur.execute(stage2_sql, stage2_params)
stage2_rows = cast(
"list[tuple[str, str, str, int, str, bytes]]",
"list[tuple[str, str, str, int, str, bytes, str]]",
await cur.fetchall(),
)
else:
@@ -0,0 +1,214 @@
"""Tests for the additive `writes.task_path` migration (#8382).
`task_path` records the path of the task that produced a write, so delta
channel replay can restore the order `apply_writes` applied a super-step's
writes in. The sqlite savers previously accepted `task_path` on `put_writes`
and dropped it, so the column has to be added to databases created by earlier
versions as well as to fresh ones.
Sqlite has no `ADD COLUMN IF NOT EXISTS`, so `setup()` probes
`pragma_table_info` before issuing the `ALTER` — these tests pin that the
probe makes the migration both effective and repeatable.
"""
from __future__ import annotations
import sqlite3
from pathlib import Path
import aiosqlite
import pytest
from langgraph.checkpoint.base import empty_checkpoint
from langgraph.checkpoint.sqlite import SqliteSaver
from langgraph.checkpoint.sqlite._schema import ADD_WRITES_TASK_PATH_SQL
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
# The `writes` table as created before `task_path` existed.
LEGACY_SCHEMA = """
CREATE TABLE checkpoints (
thread_id TEXT NOT NULL,
checkpoint_ns TEXT NOT NULL DEFAULT '',
checkpoint_id TEXT NOT NULL,
parent_checkpoint_id TEXT,
type TEXT,
checkpoint BLOB,
metadata BLOB,
PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id)
);
CREATE TABLE writes (
thread_id TEXT NOT NULL,
checkpoint_ns TEXT NOT NULL DEFAULT '',
checkpoint_id TEXT NOT NULL,
task_id TEXT NOT NULL,
idx INTEGER NOT NULL,
channel TEXT NOT NULL,
type TEXT,
value BLOB,
PRIMARY KEY (thread_id, checkpoint_ns, checkpoint_id, task_id, idx)
);
"""
def _write_legacy_db(path: Path) -> None:
conn = sqlite3.connect(path)
try:
conn.executescript(LEGACY_SCHEMA)
conn.commit()
finally:
conn.close()
def _columns(conn: sqlite3.Connection, table: str) -> list[str]:
return [row[1] for row in conn.execute(f"PRAGMA table_info({table})")]
def test_fresh_database_has_task_path(tmp_path: Path) -> None:
with SqliteSaver.from_conn_string(str(tmp_path / "fresh.sqlite")) as saver:
saver.setup()
assert "task_path" in _columns(saver.conn, "writes")
def test_legacy_database_gains_task_path(tmp_path: Path) -> None:
db = tmp_path / "legacy.sqlite"
_write_legacy_db(db)
with SqliteSaver.from_conn_string(str(db)) as saver:
saver.setup()
columns = _columns(saver.conn, "writes")
assert "task_path" in columns
# Existing columns are untouched — this is additive, not a table rebuild.
assert columns[:8] == [
"thread_id",
"checkpoint_ns",
"checkpoint_id",
"task_id",
"idx",
"channel",
"type",
"value",
]
def test_setup_is_repeatable_on_migrated_database(tmp_path: Path) -> None:
"""A second `setup()` must not re-issue the `ALTER`.
Sqlite raises `duplicate column name` rather than ignoring it, so an
unguarded `ALTER` would break every reopen of a migrated database.
"""
db = tmp_path / "legacy.sqlite"
_write_legacy_db(db)
with SqliteSaver.from_conn_string(str(db)) as saver:
saver.setup()
saver.is_setup = False
saver.setup()
assert "task_path" in _columns(saver.conn, "writes")
# And again through a fresh connection to the migrated file.
with SqliteSaver.from_conn_string(str(db)) as saver:
saver.setup()
assert "task_path" in _columns(saver.conn, "writes")
def test_legacy_rows_keep_default_and_sort_first(tmp_path: Path) -> None:
"""Rows predating the column read back as `''` and order ahead of paths.
`''` precedes every `task_path_str` output, which puts pre-migration
writes before path-carrying ones within their checkpoint instead of
interleaving them under a rule that never applied to them.
"""
db = tmp_path / "legacy.sqlite"
_write_legacy_db(db)
conn = sqlite3.connect(db)
try:
conn.execute(
"INSERT INTO writes (thread_id, checkpoint_ns, checkpoint_id, task_id,"
" idx, channel, type, value) VALUES ('t', '', 'c', 'task', 0, 'ch',"
" 'null', X'')"
)
conn.commit()
finally:
conn.close()
with SqliteSaver.from_conn_string(str(db)) as saver:
saver.setup()
stored = saver.conn.execute("SELECT task_path FROM writes").fetchall()
assert stored == [("",)]
ordered = saver.conn.execute(
"SELECT task_path FROM writes ORDER BY task_path, task_id, idx"
).fetchall()
assert ordered[0] == ("",)
def test_setup_survives_losing_the_migration_race(
tmp_path: Path, monkeypatch: pytest.MonkeyPatch
) -> None:
"""`setup()` succeeds when another connection migrates first.
The `pragma_table_info` probe is not a lock. Two connections opening the
same file can both see the column missing, and whichever issues the `ALTER`
second gets `duplicate column name` — `ALTER TABLE ADD COLUMN` has no
`IF NOT EXISTS` form to fall back on, unlike the `CREATE TABLE`s above it.
Stubbing the probe to always report the column missing reproduces exactly
the losing interleaving (probe says absent, another connection adds it,
then we `ALTER`) without depending on thread timing.
"""
db = tmp_path / "legacy.sqlite"
_write_legacy_db(db)
# Winner of the race: migrates the file out from under the saver below.
winner = sqlite3.connect(db)
try:
winner.execute(ADD_WRITES_TASK_PATH_SQL)
winner.commit()
finally:
winner.close()
monkeypatch.setattr(
"langgraph.checkpoint.sqlite.HAS_WRITES_TASK_PATH_SQL", "SELECT 1 WHERE 0"
)
with SqliteSaver.from_conn_string(str(db)) as loser:
loser.setup()
assert "task_path" in _columns(loser.conn, "writes")
def test_put_writes_persists_task_path(tmp_path: Path) -> None:
with SqliteSaver.from_conn_string(str(tmp_path / "fresh.sqlite")) as saver:
config = saver.put(
{"configurable": {"thread_id": "t", "checkpoint_ns": ""}},
empty_checkpoint(),
{},
{},
)
saver.put_writes(config, [("ch", "v")], "task-1", "~__pregel_pull, node")
stored = saver.conn.execute("SELECT task_id, task_path FROM writes").fetchall()
assert stored == [("task-1", "~__pregel_pull, node")]
@pytest.mark.asyncio
async def test_async_saver_migrates_and_persists_task_path(tmp_path: Path) -> None:
db = tmp_path / "legacy.sqlite"
_write_legacy_db(db)
async with AsyncSqliteSaver.from_conn_string(str(db)) as saver:
await saver.setup()
config = await saver.aput(
{"configurable": {"thread_id": "t", "checkpoint_ns": ""}},
empty_checkpoint(),
{},
{},
)
await saver.aput_writes(config, [("ch", "v")], "task-1", "~__pregel_pull, node")
# Idempotent for the async saver too.
saver.is_setup = False
await saver.setup()
async with aiosqlite.connect(db) as conn:
async with conn.execute("SELECT task_id, task_path FROM writes") as cur:
assert await cur.fetchall() == [("task-1", "~__pregel_pull, node")]
+1 -1
View File
@@ -285,7 +285,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.1.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -161,6 +161,23 @@ class DeltaChannelHistory(TypedDict):
Always present; possibly empty. Already filtered to one channel.
Writes stored at the target checkpoint itself are pending for the
next super-step and are excluded.
Within a single checkpoint, writes are ordered by
`(task_path, task_id, idx)`. This mirrors the order live execution
applied them in: `apply_writes` sorts a super-step's tasks by
`task_path_str(task.path[:3])` before handing their values to
`channel.update`, so a path-ordered replay reproduces the value
`invoke` returned. Ordering by `(task_id, idx)` alone does not —
`task_id` is a hash of the path, so for two or more tasks writing
the same channel in one super-step it permutes the values against
the order the reducer originally saw them in. Reducers are only
required to be batching-invariant, not order-invariant, so that
permutation changes the reconstructed value.
Writes persisted without a `task_path` (a task-less write such as
graph input, or a row written before the saver recorded the column)
sort first within their checkpoint, since `""` precedes every
`task_path_str` output — `task_path_str` prefixes tuples with `~`.
* `seed` — the stored value at the nearest ancestor whose
`channel_values[ch]` is populated. Omitted if the walk reached the
root without finding any stored value (consumer treats absence as
@@ -610,6 +627,14 @@ class BaseCheckpointSaver(Generic[V]):
`PostgresSaver`) override for performance; the return contract is
fixed here.
`PendingWrite` carries no `task_path`, so the default takes each
ancestor's write order straight from `get_tuple`. Savers relying
on it must therefore return `pending_writes` ordered by
`(task_path, task_id, idx)` to satisfy the intra-checkpoint order
documented on `DeltaChannelHistory`; savers that order
`pending_writes` by `(task_id, idx)` alone need to override this
method (as the in-tree savers do) rather than inherit it.
Args:
config: Configuration identifying the target checkpoint.
channels: Channel names to walk for. Empty → empty mapping.
@@ -30,6 +30,23 @@ from langgraph.checkpoint.base import (
logger = logging.getLogger(__name__)
# How `InMemorySaver.writes[thread, ns, checkpoint]` keys and stores one write.
_WriteKey = tuple[str, int] # task ID, write idx
_WriteValue = tuple[str, str, tuple[str, bytes], str] # + channel, value, path
_WriteEntry = tuple[_WriteKey, _WriteValue] # one `dict.items()` pair
def _delta_replay_sort_key(entry: _WriteEntry) -> tuple[str, str, int]:
"""Order one checkpoint's writes as `apply_writes` applied them live.
Live order is `(task_path, task_id, idx)` — see `DeltaChannelHistory`. It
has to be assembled from both halves of the entry: `(task_id, idx)` is the
key, `task_path` is the last element of the value.
"""
(task_id, idx), (_, _, _, task_path) = entry
return (task_path, task_id, idx)
class InMemorySaver(
BaseCheckpointSaver[str], AbstractContextManager, AbstractAsyncContextManager
):
@@ -71,10 +88,7 @@ class InMemorySaver(
dict[str, dict[str, tuple[tuple[str, bytes], tuple[str, bytes], str | None]]],
]
# (thread ID, checkpoint NS, checkpoint ID) -> (task ID, write idx)
writes: defaultdict[
tuple[str, str, str],
dict[tuple[str, int], tuple[str, str, tuple[str, bytes], str]],
]
writes: defaultdict[tuple[str, str, str], dict[_WriteKey, _WriteValue]]
blobs: dict[
tuple[
str, str, str, str | int | float
@@ -148,16 +162,17 @@ class InMemorySaver(
whose stored blob is non-empty. Other channels keep walking until
they find their own terminator or hit the root.
A blob is the value AT its ancestor, prior to the writes stored
under that same ancestor (those writes produce its child, which
is on the path to the target). This holds for `_DeltaSnapshot`
blobs and for pre-delta plain values alike, so the seed
ancestor's own writes are always collected. Writes at ancestors
older than the seed are subsumed by the seed value and are never
reached — the walk terminates there.
Pre-delta plain-value blobs subsume their ancestor's pending
writes (the value already includes them); `_DeltaSnapshot` blobs
do not (snapshot is the value AT that ancestor, prior to its own
pending writes that produce the child).
"""
if not channels:
return {}
# Imported lazily to avoid a hard checkpoint→serde-types coupling at
# module import; only this override needs the runtime check.
from langgraph.checkpoint.serde.types import _DeltaSnapshot
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
checkpoint_id = config["configurable"].get("checkpoint_id", "")
@@ -199,13 +214,20 @@ class InMemorySaver(
terminated_here.add(ch)
step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
step_writes.items(), reverse=True
# Newest-first; the caller reverses to get the public oldest-first
# order.
for (task_id, _idx), (_, ch, serialized, _task_path) in sorted(
step_writes.items(), key=_delta_replay_sort_key, reverse=True
):
if ch not in remaining:
continue
blob_value = blob_value_by_ch.get(ch)
if blob_value is not None and not isinstance(
blob_value, _DeltaSnapshot
):
continue
collected_by_ch[ch].append(
(tid, ch, self.serde.loads_typed(serialized))
(task_id, ch, self.serde.loads_typed(serialized))
)
for ch in terminated_here:
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.1.1"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
+18 -47
View File
@@ -577,19 +577,9 @@ class TestPreDeltaBlobTerminator:
"""
def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
"""Four-checkpoint chain spanning the migration boundary:
* `cp0` — pre-delta ancestor OLDER than the seed. Its write
(`OLDER-WRITE`) is already folded into `cp1`'s stored value, so the
walk must terminate at `cp1` and never reach it.
* `cp1` — pre-delta, blob `["A"]`. That value is the state ENTERING
`cp1`; the write stored under `cp1` (`PRE-DELTA-WRITE`) is what
produced `cp2` and is NOT subsumed by the blob.
* `cp2` — delta-era, no stored value, write `B`.
* `cp3` — target, delta-era, write `PENDING-AT-TARGET`.
Reconstructing at `cp3` must yield seed `["A"]` plus writes
`["PRE-DELTA-WRITE", "B"]`.
"""Three-checkpoint chain: cp1 (pre-delta, blob=[A]), cp2 (delta,
write=B), cp3 (delta, write=C). Reconstructing at cp3 must yield
seed=[A] + writes=[B, C].
Returns `(saver, thread_id, ns, channel, cp3_id)`.
"""
@@ -597,21 +587,16 @@ class TestPreDeltaBlobTerminator:
serde = JsonPlusSerializer()
thread_id, ns, channel = "t1", "", "messages"
v0 = "00000000000000000000000000000000.0"
v1 = "00000000000000000000000000000001.0"
v2 = "00000000000000000000000000000002.0"
v3 = "00000000000000000000000000000003.0"
# Pre-delta: cp0 and cp1 stored real blobs for the channel.
saver.blobs[(thread_id, ns, channel, v0)] = serde.dumps_typed([])
# Pre-delta: cp1 stored a real blob for the channel.
saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(["A"])
# Delta-era: cp2 and cp3 store "empty"; real writes in checkpoint_writes.
saver.blobs[(thread_id, ns, channel, v2)] = ("empty", b"")
saver.blobs[(thread_id, ns, channel, v3)] = ("empty", b"")
cp0 = empty_checkpoint()
cp0["id"] = "cp0"
cp0["channel_versions"][channel] = v0
cp1 = empty_checkpoint()
cp1["id"] = "cp1"
cp1["channel_versions"][channel] = v1
@@ -623,24 +608,16 @@ class TestPreDeltaBlobTerminator:
cp3["channel_versions"][channel] = v3
saver.storage[thread_id][ns] = {
"cp0": (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), "cp0"),
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
"cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
}
# Write under cp0 is older than the seed — cp1's blob already folded
# it in, and the terminator must stop before reaching it.
saver.writes[(thread_id, ns, "cp0")][("task0", 0)] = (
# Write under cp1 would be from the pre-delta era and MUST be ignored
# (the blob already captures it). We add one and assert it is not
# folded into the reconstructed result.
saver.writes[(thread_id, ns, "cp1")][("task0", 0)] = (
"task0",
channel,
serde.dumps_typed("OLDER-WRITE"),
"",
)
# Write under cp1 postdates cp1's blob (it is what produced cp2, which
# stores no value of its own) and MUST be replayed.
saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
"task1",
channel,
serde.dumps_typed("PRE-DELTA-WRITE"),
"",
)
@@ -674,19 +651,15 @@ class TestPreDeltaBlobTerminator:
# Seed came from the pre-delta blob at cp1.
assert result["seed"] == ["A"]
# The seed ancestor's own write and the delta-era write from cp2 both
# replay through the reducer on top of the seed, oldest first. cp3 is
# the target — its own write is pending for the NEXT step and must be
# excluded.
# Delta-era writes from cp2 replay through the reducer on top of seed.
# cp3 is the target — its own write is pending for the NEXT step and
# must be excluded.
values = [v for _, _, v in result["writes"]]
assert values == ["PRE-DELTA-WRITE", "B"]
assert values == ["B"]
def test_seed_bounds_walk_without_dropping_its_own_writes(self) -> None:
"""The seed terminator bounds the walk: writes at ancestors OLDER than
the seed are already folded into the seed value and must not be
replayed. The seed ancestor's own write is not one of them — it
postdates the stored value and produced the next checkpoint.
"""
def test_pre_delta_blob_terminates_walk_before_older_writes(self) -> None:
"""Writes stored at the pre-delta ancestor itself must not be replayed
(the blob subsumes them)."""
saver, thread_id, ns, channel, target = self._build_mixed_thread()
config: RunnableConfig = {
"configurable": {
@@ -701,9 +674,7 @@ class TestPreDeltaBlobTerminator:
]
values = [v for _, _, v in result["writes"]]
# Older than the seed — subsumed by cp1's blob, so the walk stops first.
assert "OLDER-WRITE" not in values
# Stored AT the seed ancestor — not subsumed, so it must be replayed.
assert "PRE-DELTA-WRITE" in values
# The pre-delta write under cp1 must not appear (the blob subsumes it).
assert "PRE-DELTA-WRITE" not in values
# And the pending write at the target is never folded in.
assert "PENDING-AT-TARGET" not in values
+1 -1
View File
@@ -300,7 +300,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.1.1"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
-8
View File
@@ -408,12 +408,6 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
"--build-command",
help="Custom build command to run from the langgraph.json directory. If not provided, uses default build process.",
)
@click.option(
"--flat",
is_flag=True,
envvar="LANGGRAPH_CLI_FLAT_IMAGES",
help="Flatten generated build steps into one image layer when supported.",
)
@click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
@cli.command(
help="📦 Build LangGraph API server Docker image.",
@@ -432,7 +426,6 @@ def build(
tag: str,
install_command: str | None,
build_command: str | None,
flat: bool,
):
if install_command and langgraph_cli.config.has_disallowed_build_command_content(
install_command
@@ -468,7 +461,6 @@ def build(
docker_build_args,
install_command,
build_command,
flat=flat,
)
+42 -292
View File
@@ -1162,208 +1162,6 @@ def _build_runtime_env_vars(config: Config) -> list[str]:
return env_vars
def _faux_package_pyproject_command(package_name: str) -> str:
pyproject_path = shlex.quote(f"/deps/outer-{package_name}/pyproject.toml")
return f"""cat > {pyproject_path} <<'PYPROJECT'
[project]
name = {json.dumps(package_name)}
version = "0.1"
[tool.setuptools.package-data]
"*" = ["**/*"]
[build-system]
requires = ["setuptools>=61"]
build-backend = "setuptools.build_meta"
PYPROJECT"""
_FLAT_BUILD_CONTEXT = pathlib.PurePosixPath("/__build_context")
_FLAT_ADDITIONAL_CONTEXTS = pathlib.PurePosixPath("/__additional_contexts")
_DEFAULT_NODE_BUILD_COMMAND = (
'(test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, '
'skipping") || tsx /api/langgraph_api/js/build.mts'
)
def _render_flat_dockerfile(
*,
image: str,
dockerfile_lines: list[str],
env_vars: list[str],
commands: list[str],
workdir: str | None,
additional_context_names: dict[pathlib.Path, str] | None = None,
) -> str:
mounts = [f"--mount=type=bind,target={_FLAT_BUILD_CONTEXT},readonly"]
mounts.extend(
f"--mount=type=bind,from={name},"
f"target={_FLAT_ADDITIONAL_CONTEXTS / name},readonly"
for name in (additional_context_names or {}).values()
)
return os.linesep.join(
[
"# syntax=docker/dockerfile:1.7",
f"FROM {image}",
*dockerfile_lines,
*env_vars,
f"RUN {' '.join(mounts)} <<'USER_LAYER'",
*commands,
"USER_LAYER",
f"WORKDIR {workdir}" if workdir else "",
]
)
def _flat_context_source(
path: pathlib.Path,
relative_path: str,
additional_context_names: dict[pathlib.Path, str],
*,
additional_relative_path: str = ".",
) -> str:
if name := additional_context_names.get(path):
return str(_FLAT_ADDITIONAL_CONTEXTS / name / additional_relative_path)
return str(_FLAT_BUILD_CONTEXT / relative_path)
def _copy_directory_command(source: str, destination: str) -> str:
return f"""mkdir -p {shlex.quote(destination)}
cp -a {shlex.quote(f"{source}/.")} {shlex.quote(destination)}/"""
def _flat_local_dependency_commands(
*,
config_path: pathlib.Path,
local_deps: LocalDeps,
local_reqs_pip_install: str,
additional_context_names: dict[pathlib.Path, str],
) -> list[str]:
commands = []
for reqpath, destination in local_deps.pip_reqs:
source = _flat_context_source(
reqpath.parent,
str(reqpath.relative_to(config_path.parent)),
additional_context_names,
additional_relative_path=reqpath.name,
)
destination_parent = pathlib.PurePosixPath(destination).parent
commands.append(f"""mkdir -p {shlex.quote(str(destination_parent))}
cp {shlex.quote(source)} {shlex.quote(destination)}""")
if local_deps.pip_reqs:
requirements = " ".join(
f"-r {destination}" for _, destination in local_deps.pip_reqs
)
commands.append(f"{local_reqs_pip_install} {requirements}")
for full_path, (relative_path, name) in local_deps.real_pkgs.items():
source = _flat_context_source(
full_path, relative_path, additional_context_names
)
commands.append(_copy_directory_command(source, f"/deps/{name}"))
for full_path, (relative_path, destination) in local_deps.faux_pkgs.items():
source = _flat_context_source(
full_path, relative_path, additional_context_names
)
pyproject = _faux_package_pyproject_command(full_path.name)
commands.append(f"{_copy_directory_command(source, destination)}\n{pyproject}")
return commands
def _build_flat_python_commands(
*,
config_path: pathlib.Path,
config: Config,
local_deps: LocalDeps,
pypi_deps: list[str],
local_reqs_pip_install: str,
local_deps_install_command: str,
pip_cleanup: str,
additional_context_names: dict[pathlib.Path, str],
js_working_dir: str | None,
) -> list[str]:
commands = ["set -eu"]
if js_working_dir:
commands.append("/storage/install-node.sh")
if pip_config_file := config.get("pip_config_file"):
source = shlex.quote(str(_FLAT_BUILD_CONTEXT / pip_config_file))
commands.append(f"cp {source} /pipconfig.txt")
if pypi_deps:
commands.append(f"{local_reqs_pip_install} {' '.join(pypi_deps)}")
commands.extend(
_flat_local_dependency_commands(
config_path=config_path,
local_deps=local_deps,
local_reqs_pip_install=local_reqs_pip_install,
additional_context_names=additional_context_names,
)
)
commands.append(local_deps_install_command)
if js_working_dir:
working_dir = shlex.quote(js_working_dir)
commands.append(
f"cd {working_dir}\n"
f"{_get_node_pm_install_cmd(config_path.parent)} "
"&& tsx /api/langgraph_api/js/build.mts"
)
commands.extend(
line.removeprefix("RUN ")
for line in pip_cleanup.splitlines()
if line and not line.startswith("#")
)
return commands
def _build_flat_python_dockerfile(
config_path: pathlib.Path,
config: Config,
local_deps: LocalDeps,
pypi_deps: list[str],
local_reqs_pip_install: str,
local_deps_install_command: str,
pip_cleanup: str,
image: str,
env_vars: list[str],
additional_context_names: dict[pathlib.Path, str],
) -> str:
js_working_dir = (
local_deps.working_dir
if config.get("ui") or config.get("node_version")
else None
)
commands = _build_flat_python_commands(
config_path=config_path,
config=config,
local_deps=local_deps,
pypi_deps=pypi_deps,
local_reqs_pip_install=local_reqs_pip_install,
local_deps_install_command=local_deps_install_command,
pip_cleanup=pip_cleanup,
additional_context_names=additional_context_names,
js_working_dir=js_working_dir,
)
if js_working_dir:
env_vars = [
f"ENV NODE_VERSION={config.get('node_version') or DEFAULT_NODE_VERSION}",
*env_vars,
]
return _render_flat_dockerfile(
image=image,
dockerfile_lines=config["dockerfile_lines"],
env_vars=env_vars,
commands=commands,
workdir=local_deps.working_dir,
additional_context_names=additional_context_names,
)
def _get_node_pm_install_cmd(project_dir: pathlib.Path) -> str:
def test_file(file_name):
full_path = project_dir / file_name
@@ -1469,7 +1267,6 @@ def python_config_to_docker(
api_version: str | None = None,
*,
escape_variables: bool = False,
flat: bool = False,
) -> tuple[str, dict[str, str]]:
"""Generate a Dockerfile from the configuration."""
source_kind = _get_source_kind(config)
@@ -1631,36 +1428,6 @@ ADD {relpath} /deps/{name}
]
)
image_str = docker_tag(config, base_image, api_version)
dep_vname = "$$dep" if escape_variables else "$dep"
local_deps_install_command = f"""for dep in /deps/*; do \
echo "Installing {dep_vname}"; \
if [ -d "{dep_vname}" ]; then \
echo "Installing {dep_vname}"; \
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
fi; \
done"""
pip_cleanup = _get_pip_cleanup_lines(
install_cmd=install_cmd,
to_uninstall=build_tools_to_uninstall,
pip_installer=pip_installer,
)
if flat:
return (
_build_flat_python_dockerfile(
config_path=config_path,
config=config,
local_deps=local_deps,
pypi_deps=pypi_deps,
local_reqs_pip_install=local_reqs_pip_install,
local_deps_install_command=local_deps_install_command,
pip_cleanup=pip_cleanup,
image=image_str,
env_vars=env_vars,
additional_context_names=additional_context_names,
),
additional_contexts,
)
# Prepare docker file contents
docker_file_contents = []
@@ -1675,6 +1442,14 @@ ADD {relpath} /deps/{name}
)
# Add main dockerfile content
dep_vname = "$$dep" if escape_variables else "$dep"
local_deps_install_str = f"""RUN for dep in /deps/*; do \
echo "Installing {dep_vname}"; \
if [ -d "{dep_vname}" ]; then \
echo "Installing {dep_vname}"; \
(cd "{dep_vname}" && {global_reqs_pip_install} -e .); \
fi; \
done"""
docker_file_contents.extend(
[
f"FROM {image_str}",
@@ -1684,14 +1459,18 @@ ADD {relpath} /deps/{name}
installs,
"",
"# -- Installing all local dependencies --",
f"RUN {local_deps_install_command}",
local_deps_install_str,
"# -- End of local dependencies install --",
os.linesep.join(env_vars),
"",
js_inst_str,
"",
# Add pip cleanup after all installations are complete
pip_cleanup,
_get_pip_cleanup_lines(
install_cmd=install_cmd,
to_uninstall=build_tools_to_uninstall,
pip_installer=pip_installer,
),
"",
f"WORKDIR {local_deps.working_dir}" if local_deps.working_dir else "",
]
@@ -1700,31 +1479,6 @@ ADD {relpath} /deps/{name}
return os.linesep.join(docker_file_contents), additional_contexts
def _build_flat_node_dockerfile(
*,
config: Config,
image: str,
env_vars: list[str],
install_workdir: str,
build_workdir: str,
install_command: str,
build_command: str,
) -> str:
commands = [
"set -eu",
_copy_directory_command(str(_FLAT_BUILD_CONTEXT), install_workdir),
f"cd {shlex.quote(install_workdir)}\n{install_command}",
f"cd {shlex.quote(build_workdir)}\n{build_command}",
]
return _render_flat_dockerfile(
image=image,
dockerfile_lines=config["dockerfile_lines"],
env_vars=env_vars,
commands=commands,
workdir=build_workdir,
)
def node_config_to_docker(
config_path: pathlib.Path,
config: Config,
@@ -1733,7 +1487,6 @@ def node_config_to_docker(
install_command: str | None = None,
build_command: str | None = None,
build_context: str | None = None,
flat: bool = False,
) -> tuple[str, dict[str, str]]:
# Calculate paths for monorepo support
install_root = (
@@ -1743,56 +1496,56 @@ def node_config_to_docker(
if build_context:
relative_workdir = _calculate_relative_workdir(config_path, build_context)
container_name = pathlib.Path(build_context).name
install_workdir = f"/deps/{container_name}"
build_workdir = (
f"{install_workdir}/{relative_workdir}"
if relative_workdir
else install_workdir
)
if relative_workdir:
faux_path = f"/deps/{container_name}/{relative_workdir}"
else:
faux_path = f"/deps/{container_name}"
else:
# Backward compatibility: use the original behavior
install_workdir = build_workdir = f"/deps/{config_path.parent.name}"
faux_path = f"/deps/{config_path.parent.name}"
image_str = docker_tag(config, base_image, api_version)
env_vars = _build_runtime_env_vars(config)
build_cmd = (
build_command
if build_context and build_command
else _DEFAULT_NODE_BUILD_COMMAND
)
# For monorepo support, we need to handle install and build commands differently
if build_context:
# Monorepo case: install from root, build from config directory
container_root = f"/deps/{pathlib.Path(build_context).name}"
install_workdir = container_root
install_step = f"RUN {install_cmd}"
if flat:
return (
_build_flat_node_dockerfile(
config=config,
image=image_str,
env_vars=env_vars,
install_workdir=install_workdir,
build_workdir=build_workdir,
install_command=install_cmd,
build_command=build_cmd,
),
{},
)
if build_command:
build_step = f"RUN {build_command}"
else:
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
else:
# Original behavior: everything happens in the same directory
install_workdir = faux_path
install_step = f"RUN {install_cmd}"
build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
if build_context:
build_workdir = faux_path
else:
build_workdir = faux_path
docker_file_contents = [
f"FROM {image_str}",
"",
os.linesep.join(config["dockerfile_lines"]),
"",
f"ADD . {install_workdir}",
f"ADD . {faux_path if not build_context else container_root}",
"",
f"WORKDIR {install_workdir}",
"",
f"RUN {install_cmd}",
install_step,
"",
os.linesep.join(env_vars),
"",
f"WORKDIR {build_workdir}",
"",
f"RUN {build_cmd}",
build_step,
]
return os.linesep.join(docker_file_contents), {}
@@ -1872,7 +1625,6 @@ def config_to_docker(
build_command: str | None = None,
build_context: str | None = None,
escape_variables: bool = False,
flat: bool = False,
) -> tuple[str, dict[str, str]]:
base_image = base_image or default_base_image(config)
@@ -1885,7 +1637,6 @@ def config_to_docker(
install_command=install_command,
build_command=build_command,
build_context=build_context,
flat=flat,
)
return python_config_to_docker(
@@ -1894,7 +1645,6 @@ def config_to_docker(
base_image=base_image,
api_version=api_version,
escape_variables=escape_variables,
flat=flat,
)
-2
View File
@@ -345,7 +345,6 @@ def build_docker_image(
docker_command: Sequence[str] | None = None,
extra_flags: Sequence[str] = (),
verbose: bool = True,
flat: bool = False,
):
"""Build a Docker image from a LangGraph config."""
# pull latest images
@@ -388,7 +387,6 @@ def build_docker_image(
install_command=install_command,
build_command=build_command,
build_context=build_context,
flat=flat,
)
# add additional_contexts
if additional_contexts:
-16
View File
@@ -970,22 +970,6 @@ def python_config_to_docker_uv_lock(
f"{uv_export_project_dir}/uv.lock",
)
)
for package_root in sorted(
plan.all_workspace_roots,
key=lambda root: root.as_posix(),
):
if package_root == plan.project_root:
continue
package_relative_path = pathlib.PurePosixPath(
package_root.relative_to(plan.project_root).as_posix()
)
package_pyproject_path = package_relative_path / "pyproject.toml"
docker_plan.add_raw(
copy_from_project_root(
package_pyproject_path,
f"{uv_export_project_dir}/{package_pyproject_path.as_posix()}",
)
)
docker_plan.add_instruction("WORKDIR", uv_export_project_dir)
docker_plan.add_instruction(
"RUN",
-119
View File
@@ -723,67 +723,6 @@ WORKDIR /deps/outer-unit_tests/unit_tests\
}
def test_config_to_docker_flat():
dockerfile, additional_contexts = config_to_docker(
PATH_TO_CONFIG,
validate_config(
{"dependencies": ["."], "graphs": {"agent": "./agent.py:graph"}}
),
base_image="langchain/langgraph-api",
flat=True,
)
assert additional_contexts == {}
assert dockerfile.count("\nRUN ") == 1
assert "--mount=type=bind" in dockerfile
assert "cp -a /__build_context/. /deps/outer-unit_tests/unit_tests/" in dockerfile
assert "cat > /deps/outer-unit_tests/pyproject.toml <<'PYPROJECT'" in dockerfile
assert '[tool.setuptools.package-data]\n"*" = ["**/*"]' in dockerfile
assert dockerfile.endswith("WORKDIR /deps/outer-unit_tests/unit_tests")
def test_config_to_docker_flat_with_custom_lines_and_escaped_variables():
dockerfile, _ = config_to_docker(
PATH_TO_CONFIG,
validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"dockerfile_lines": ["RUN echo custom"],
}
),
base_image="langchain/langgraph-api",
escape_variables=True,
flat=True,
)
assert dockerfile.index("RUN echo custom") < dockerfile.index("USER_LAYER")
assert 'echo "Installing $$dep"' in dockerfile
def test_config_to_docker_flat_with_additional_context():
dockerfile, additional_contexts = config_to_docker(
PATH_TO_CONFIG,
validate_config(
{"dependencies": [".", ".."], "graphs": {"agent": "./agent.py:graph"}}
),
base_image="langchain/langgraph-api",
flat=True,
)
assert additional_contexts == {
"outer-tests": str(pathlib.Path(__file__).parent.parent.absolute()),
}
assert (
"--mount=type=bind,from=outer-tests,"
"target=/__additional_contexts/outer-tests,readonly" in dockerfile
)
assert (
"cp -a /__additional_contexts/outer-tests/. /deps/outer-tests/tests/"
in dockerfile
)
def test_config_to_docker_outside_path():
graphs = {"agent": "./agent.py:graph"}
actual_docker_stdin, additional_contexts = config_to_docker(
@@ -1059,28 +998,6 @@ RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not foun
assert additional_contexts == {}
def test_config_to_docker_nodejs_flat():
dockerfile, additional_contexts = config_to_docker(
PATH_TO_CONFIG,
validate_config(
{
"node_version": "20",
"graphs": {"agent": "./graphs/agent.js:graph"},
"dockerfile_lines": ["RUN echo custom"],
}
),
base_image="langchain/langgraphjs-api",
flat=True,
)
assert additional_contexts == {}
assert dockerfile.index("RUN echo custom") < dockerfile.index("USER_LAYER")
assert "cp -a /__build_context/. /deps/unit_tests/" in dockerfile
assert "cd /deps/unit_tests\nnpm i" in dockerfile
assert "tsx /api/langgraph_api/js/build.mts" in dockerfile
assert dockerfile.endswith("WORKDIR /deps/unit_tests")
def test_config_to_docker_python_encryption():
# Test that encryption config is included in validation
graphs = {"agent": "./agent.py:graph"}
@@ -1297,29 +1214,6 @@ WORKDIR /deps/outer-unit_tests/unit_tests"""
assert additional_contexts == {}
def test_config_to_docker_gen_ui_python_flat():
dockerfile, additional_contexts = config_to_docker(
PATH_TO_CONFIG,
validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"ui": {"agent": "./graphs/agent.ui.jsx"},
}
),
base_image="langchain/langgraph-api",
flat=True,
)
assert additional_contexts == {}
assert dockerfile.count("\nRUN ") == 1
assert dockerfile.index("ENV NODE_VERSION=20") < dockerfile.index("\nRUN ")
assert dockerfile.index("ENV LANGGRAPH_UI=") < dockerfile.index("\nRUN ")
assert "/storage/install-node.sh" in dockerfile
assert "cd /deps/outer-unit_tests/unit_tests\nnpm i" in dockerfile
assert "tsx /api/langgraph_api/js/build.mts" in dockerfile
def test_config_to_docker_multiplatform():
graphs = {
"python": "./multiplatform/python.py:graph",
@@ -1509,19 +1403,6 @@ def test_config_to_docker_uv_lock():
"COPY --from=uv-workspace-root uv.lock /tmp/uv_export/project/uv.lock"
in docker
)
workspace_pyprojects = [
"apps/agent/pyproject.toml",
"libs/extra/pyproject.toml",
"libs/shared/pyproject.toml",
]
export_instruction = "RUN uv export --package agent"
for pyproject_path in workspace_pyprojects:
copy_instruction = (
"COPY --from=uv-workspace-root "
f"{pyproject_path} /tmp/uv_export/project/{pyproject_path}"
)
assert copy_instruction in docker
assert docker.index(copy_instruction) < docker.index(export_instruction)
assert additional_contexts == {"uv-workspace-root": str(project_root.resolve())}
assert (
+6 -6
View File
@@ -266,20 +266,20 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.0.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core" },
{ name = "ormsgpack" },
]
sdist = { url = "https://files.pythonhosted.org/packages/dc/e1/089c4c9e0a2fec7f883f82ae8e6a727138d50074cfeb6644bc2d13b1019b/langgraph_checkpoint-4.2.0.tar.gz", hash = "sha256:51a593b6bee684b0818e5d6e58e28ab340c6db7794575056ce7bd1b746a84ed7", size = 180239, upload-time = "2026-08-07T20:05:03.756Z" }
sdist = { url = "https://files.pythonhosted.org/packages/b1/44/a8df45d1e8b4637e29789fa8bae1db022c953cc7ac80093cfc52e923547e/langgraph_checkpoint-4.0.1.tar.gz", hash = "sha256:b433123735df11ade28829e40ce25b9be614930cd50245ff2af60629234befd9", size = 158135, upload-time = "2026-02-27T21:06:16.092Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/05/71/3b475f09bd57d3a5649792c66353312b4432afd843f301739dfcebd157f0/langgraph_checkpoint-4.2.0-py3-none-any.whl", hash = "sha256:0547fd228935a0b758865de3a3d6d7a2537c308895d0f9ab092ce9151b5da942", size = 56833, upload-time = "2026-08-07T20:05:02.655Z" },
{ url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
]
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.1"
version = "3.0.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -287,9 +287,9 @@ dependencies = [
{ name = "psycopg" },
{ name = "psycopg-pool" },
]
sdist = { url = "https://files.pythonhosted.org/packages/06/92/1e8959f8cd1b56e672fde3227f6fd642be85af6c5fd662d73921074aa39d/langgraph_checkpoint_postgres-3.1.1.tar.gz", hash = "sha256:d320e147ddad8c374cd546df0b52b532dd54d0541dd9fd23fc738cbd5de76f41", size = 150413, upload-time = "2026-07-30T19:15:39.014Z" }
sdist = { url = "https://files.pythonhosted.org/packages/95/7a/8f439966643d32111248a225e6cb33a182d07c90de780c4dbfc1e0377832/langgraph_checkpoint_postgres-3.0.5.tar.gz", hash = "sha256:a8fd7278a63f4f849b5cbc7884a15ca8f41e7d5f7467d0a66b31e8c24492f7eb", size = 127856, upload-time = "2026-03-18T21:25:29.785Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/03/32/ba457698a48a0e18d786caa770033067049fbe36d6846f8e50f13b594b51/langgraph_checkpoint_postgres-3.1.1-py3-none-any.whl", hash = "sha256:6e353aecd8150de144fef8e51a49076f58b7d6830d4cf51392b7ad4d79832ba7", size = 50778, upload-time = "2026-07-30T19:15:37.405Z" },
{ url = "https://files.pythonhosted.org/packages/e8/87/b0f98b33a67204bca9d5619bcd9574222f6b025cf3c125eedcec9a50ecbc/langgraph_checkpoint_postgres-3.0.5-py3-none-any.whl", hash = "sha256:86d7040a88fd70087eaafb72251d796696a0a2d856168f5c11ef620771411552", size = 42907, upload-time = "2026-03-18T21:25:28.75Z" },
]
[[package]]
@@ -3,7 +3,6 @@ from __future__ import annotations
import asyncio
import enum
import inspect
import logging
import sys
import warnings
from collections.abc import (
@@ -64,26 +63,6 @@ try:
except ImportError:
_StreamingCallbackHandler = None # type: ignore
logger = logging.getLogger(__name__)
def _trace_payload(value: Any, transform: Callable[[Any], Any] | None) -> Any:
"""Return the payload to record on a run for `value`.
When `transform` is unset this is a passthrough, so unspecified nodes record exactly
as before. When set it always runs (regardless of tracing), but never affects
execution: if it raises, the untransformed value is recorded instead.
"""
if transform is None:
return value
try:
return transform(value)
except Exception:
logger.exception(
"trace input/output processor raised; recording untransformed payload"
)
return value
def _set_config_context(
config: RunnableConfig, run: Any = None
@@ -593,7 +572,6 @@ class RunnableSeq(Runnable):
*steps: RunnableLike,
name: str | None = None,
trace_inputs: Callable[[Any], Any] | None = None,
trace_outputs: Callable[[Any], Any] | None = None,
) -> None:
"""Create a new RunnableSeq.
@@ -619,7 +597,6 @@ class RunnableSeq(Runnable):
self.steps = steps_flat
self.name = name
self.trace_inputs = trace_inputs
self.trace_outputs = trace_outputs
def __or__(
self,
@@ -681,7 +658,7 @@ class RunnableSeq(Runnable):
# start the root run
run_manager = callback_manager.on_chain_start(
None,
_trace_payload(input, self.trace_inputs),
self.trace_inputs(input) if self.trace_inputs is not None else input,
name=config.get("run_name") or self.get_name(),
run_id=config.pop("run_id", None),
)
@@ -712,7 +689,7 @@ class RunnableSeq(Runnable):
run_manager.on_chain_error(e)
raise
else:
run_manager.on_chain_end(_trace_payload(input, self.trace_outputs))
run_manager.on_chain_end(input)
return input
async def ainvoke(
@@ -728,7 +705,7 @@ class RunnableSeq(Runnable):
# start the root run
run_manager = await callback_manager.on_chain_start(
None,
_trace_payload(input, self.trace_inputs),
self.trace_inputs(input) if self.trace_inputs is not None else input,
name=config.get("run_name") or self.get_name(),
run_id=config.pop("run_id", None),
)
@@ -765,7 +742,7 @@ class RunnableSeq(Runnable):
await run_manager.on_chain_error(e)
raise
else:
await run_manager.on_chain_end(_trace_payload(input, self.trace_outputs))
await run_manager.on_chain_end(input)
return input
def stream(
@@ -781,7 +758,7 @@ class RunnableSeq(Runnable):
# start the root run
run_manager = callback_manager.on_chain_start(
None,
_trace_payload(input, self.trace_inputs),
self.trace_inputs(input) if self.trace_inputs is not None else input,
name=config.get("run_name") or self.get_name(),
run_id=config.pop("run_id", None),
)
@@ -826,7 +803,7 @@ class RunnableSeq(Runnable):
run_manager.on_chain_error(e)
raise
else:
run_manager.on_chain_end(_trace_payload(output, self.trace_outputs))
run_manager.on_chain_end(output)
async def astream(
self,
@@ -841,7 +818,7 @@ class RunnableSeq(Runnable):
# start the root run
run_manager = await callback_manager.on_chain_start(
None,
_trace_payload(input, self.trace_inputs),
self.trace_inputs(input) if self.trace_inputs is not None else input,
name=config.get("run_name") or self.get_name(),
run_id=config.pop("run_id", None),
)
@@ -896,9 +873,7 @@ class RunnableSeq(Runnable):
await run_manager.on_chain_error(e)
raise
else:
await run_manager.on_chain_end(
_trace_payload(output, self.trace_outputs)
)
await run_manager.on_chain_end(output)
else:
try:
async with AsyncExitStack() as stack:
@@ -928,9 +903,7 @@ class RunnableSeq(Runnable):
await run_manager.on_chain_error(e)
raise
else:
await run_manager.on_chain_end(
_trace_payload(output, self.trace_outputs)
)
await run_manager.on_chain_end(output)
def _consume_iter(it: Iterator[Any]) -> Any:
+1 -9
View File
@@ -9,13 +9,7 @@ from langgraph.store.base import BaseStore
from langgraph._internal._typing import EMPTY_SEQ
from langgraph.runtime import Runtime
from langgraph.types import (
CachePolicy,
RetryPolicy,
StreamWriter,
TimeoutPolicy,
TracePolicy,
)
from langgraph.types import CachePolicy, RetryPolicy, StreamWriter, TimeoutPolicy
from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra
@@ -99,5 +93,3 @@ class StateNodeSpec(Generic[NodeInputT, ContextT]):
ends: tuple[str, ...] | dict[str, str] | None = EMPTY_SEQ
defer: bool = False
timeout: TimeoutPolicy | None = None
trace_policy: TracePolicy | None = None
"""Optional policy controlling what this node records on its trace run."""
-14
View File
@@ -85,7 +85,6 @@ from langgraph.types import (
RetryPolicy,
Send,
TimeoutPolicy,
TracePolicy,
ensure_valid_checkpointer,
)
from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
@@ -385,7 +384,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
error_handler: StateNode[Any, ContextT] | None = None,
destinations: dict[str, str] | tuple[str, ...] | None = None,
timeout: float | timedelta | TimeoutPolicy | None = None,
trace_policy: TracePolicy | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`, input schema is inferred as the state schema.
@@ -455,7 +453,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
error_handler: StateNode[Any, ContextT] | None = None,
destinations: dict[str, str] | tuple[str, ...] | None = None,
timeout: float | timedelta | TimeoutPolicy | None = None,
trace_policy: TracePolicy | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph` where input schema is specified.
@@ -530,7 +527,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
error_handler: StateNode[Any, ContextT] | None = None,
destinations: dict[str, str] | tuple[str, ...] | None = None,
timeout: float | timedelta | TimeoutPolicy | None = None,
trace_policy: TracePolicy | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`, input schema is inferred as the state schema.
@@ -600,7 +596,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
error_handler: StateNode[Any, ContextT] | None = None,
destinations: dict[str, str] | tuple[str, ...] | None = None,
timeout: float | timedelta | TimeoutPolicy | None = None,
trace_policy: TracePolicy | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`, input schema is specified.
@@ -677,7 +672,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
error_handler: StateNode[Any, ContextT] | None = None,
destinations: dict[str, str] | tuple[str, ...] | None = None,
timeout: float | timedelta | TimeoutPolicy | None = None,
trace_policy: TracePolicy | None = None,
**kwargs: Unpack[DeprecatedKwargs],
) -> Self:
"""Add a new node to the `StateGraph`.
@@ -697,10 +691,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
If a sequence is provided, the first matching policy will be applied.
cache_policy: The cache policy for the node.
error_handler: Optional node-level error handler callable for this node.
trace_policy: Optional policy controlling how this node's run is traced. Its
`process_inputs` callable transforms the node's input before it is
recorded (e.g. to omit or summarize large message history) without
changing the value passed to the node. Does not affect execution.
destinations: Destinations that indicate where a node can route to.
Useful for edgeless graphs with nodes that return `Command` objects.
@@ -890,7 +880,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
ends=ends,
defer=defer,
timeout=timeout,
trace_policy=trace_policy,
)
elif inferred_input_schema is not None:
self.nodes[node] = StateNodeSpec(
@@ -903,7 +892,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
ends=ends,
defer=defer,
timeout=timeout,
trace_policy=trace_policy,
)
else:
self.nodes[node] = StateNodeSpec[StateT, ContextT](
@@ -916,7 +904,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
ends=ends,
defer=defer,
timeout=timeout,
trace_policy=trace_policy,
)
input_schema = input_schema or inferred_input_schema
@@ -1543,7 +1530,6 @@ class CompiledStateGraph(
error_handler_node=node.error_handler_node,
bound=node.runnable, # type: ignore[arg-type]
timeout=node.timeout,
trace_policy=node.trace_policy,
)
else:
raise RuntimeError
+3 -17
View File
@@ -16,7 +16,7 @@ from langgraph._internal._timeout import coerce_timeout_policy
from langgraph.pregel._utils import find_subgraph_pregel
from langgraph.pregel._write import ChannelWrite
from langgraph.pregel.protocol import PregelProtocol
from langgraph.types import CachePolicy, RetryPolicy, TimeoutPolicy, TracePolicy
from langgraph.types import CachePolicy, RetryPolicy, TimeoutPolicy
READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
@@ -138,9 +138,6 @@ class PregelNode:
metadata: Mapping[str, Any] | None
"""Metadata to attach to the node for tracing."""
trace_policy: TracePolicy | None
"""Optional policy controlling what this node records on its trace run."""
is_error_handler: bool
"""Whether this node is registered as an error handler node."""
@@ -159,7 +156,6 @@ class PregelNode:
writers: list[Runnable] | None = None,
tags: list[str] | None = None,
metadata: Mapping[str, Any] | None = None,
trace_policy: TracePolicy | None = None,
bound: Runnable[Any, Any] | None = None,
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
cache_policy: CachePolicy | None = None,
@@ -181,7 +177,6 @@ class PregelNode:
self.timeout = coerce_timeout_policy(timeout)
self.tags = tags
self.metadata = metadata
self.trace_policy = trace_policy
self.is_error_handler = is_error_handler
self.error_handler_node = error_handler_node
if subgraphs is not None:
@@ -227,23 +222,14 @@ class PregelNode:
def node(self) -> Runnable[Any, Any] | None:
"""Get a runnable that combines `bound` and `writers`."""
writers = self.flat_writers
trace_inputs = self.trace_policy.process_inputs if self.trace_policy else None
trace_outputs = self.trace_policy.process_outputs if self.trace_policy else None
if self.bound is DEFAULT_BOUND and not writers:
return None
elif self.bound is DEFAULT_BOUND and len(writers) == 1:
return writers[0]
elif self.bound is DEFAULT_BOUND:
return RunnableSeq(
*writers, trace_inputs=trace_inputs, trace_outputs=trace_outputs
)
return RunnableSeq(*writers)
elif writers:
return RunnableSeq(
self.bound,
*writers,
trace_inputs=trace_inputs,
trace_outputs=trace_outputs,
)
return RunnableSeq(self.bound, *writers)
else:
return self.bound
+141 -71
View File
@@ -1,10 +1,11 @@
from __future__ import annotations
import dis
import ast
import inspect
import re
import textwrap
from collections.abc import Callable, Sequence
from functools import partial
from types import CodeType, FunctionType
from typing import Any
from langchain_core.runnables import (
@@ -16,6 +17,7 @@ from langchain_core.runnables import (
from langchain_core.runnables.base import RunnableBindingBase
from langchain_core.runnables.config import run_in_executor
from langgraph.checkpoint.base import ChannelVersions
from typing_extensions import override
from langgraph._internal._runnable import RunnableCallable, RunnableSeq
from langgraph._internal._timeout import sync_timeout_unsupported
@@ -135,87 +137,155 @@ def validate_timeout_supported(runnable: Runnable, *, name: str) -> None:
raise sync_timeout_unsupported(name)
# Values treated as dead ends when deciding whether to walk a function's
# bytecode. A container can hold a graph, but `find_subgraph_pregel` does not
# look inside one, so skipping it costs nothing while that holds. Matched by
# exact type, since a subclass of a builtin can carry attributes.
_LEAF_TYPES = frozenset(
{
int,
float,
complex,
bool,
str,
bytes,
bytearray,
list,
tuple,
dict,
set,
frozenset,
type(None),
}
)
def get_function_nonlocals(func: Callable) -> list[Any]:
"""Get the values a function reaches from outside its own scope.
"""Get the nonlocal variables accessed by a function.
Args:
func: The function to check.
Returns:
Every captured cell value, the globals the function names, and each
value along an attribute path it loads. Over-approximates: a value can
come back without the function reaching it at runtime.
List[Any]: The nonlocal variables accessed by the function.
"""
func = getattr(func, "__func__", func) # bound method -> function
wrapped = getattr(func, "__wrapped__", None)
if callable(wrapped):
func = getattr(wrapped, "__func__", wrapped)
if not isinstance(func, FunctionType):
try:
code = inspect.getsource(func)
tree = ast.parse(textwrap.dedent(code))
visitor = FunctionNonLocals()
visitor.visit(tree)
values: list[Any] = []
closure = (
inspect.getclosurevars(func.__wrapped__)
if hasattr(func, "__wrapped__") and callable(func.__wrapped__)
else inspect.getclosurevars(func)
)
candidates = {**closure.globals, **closure.nonlocals}
for k, v in candidates.items():
if k in visitor.nonlocals:
values.append(v)
for kk in visitor.nonlocals:
if "." in kk and kk.startswith(k):
vv = v
for part in kk.split(".")[1:]:
if vv is None:
break
else:
try:
vv = getattr(vv, part)
except AttributeError:
break
else:
values.append(vv)
except (SyntaxError, TypeError, OSError, SystemError):
return []
code = func.__code__
cells: dict[str, Any] = {}
for name, cell in zip(code.co_freevars, func.__closure__ or ()):
try:
cells[name] = cell.cell_contents
except ValueError:
continue # empty cell: a recursive def not yet bound
# Every captured value counts, referenced or not: over-declaring costs an
# introspection entry, under-declaring drops the subgraph's checkpoints and
# stream events. Checking each cell against the bytecode would cost more and
# only trade the cheap error for the expensive one.
values: list[Any] = list(cells.values())
global_ns = func.__globals__
globals_ = {name: global_ns[name] for name in code.co_names if name in global_ns}
if all(type(v) in _LEAF_TYPES for v in (*cells.values(), *globals_.values())):
return values
# Nested code objects hold the references made by inner defs, lambdas and
# comprehensions, which resolve against the namespaces gathered above.
codes = [code]
for c in codes:
codes.extend(k for k in c.co_consts if isinstance(k, CodeType))
value: Any = None
for instruction in dis.get_instructions(c):
opname = instruction.opname
if opname == "LOAD_GLOBAL":
value = globals_.get(instruction.argval)
elif opname == "LOAD_DEREF":
value = cells.get(instruction.argval)
elif opname in ("LOAD_ATTR", "LOAD_METHOD"):
value = getattr(value, instruction.argval, None)
else:
value = None # anything else ends the chain: `a, b.c` is not `a.c`
continue
if value is not None:
values.append(value)
return values
class FunctionNonLocals(ast.NodeVisitor):
"""Get the nonlocal variables accessed of a function."""
def __init__(self) -> None:
self.nonlocals: set[str] = set()
@override
def visit_FunctionDef(self, node: ast.FunctionDef) -> Any:
"""Visit a function definition.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
visitor = NonLocals()
visitor.visit(node)
self.nonlocals.update(visitor.loads - visitor.stores)
@override
def visit_AsyncFunctionDef(self, node: ast.AsyncFunctionDef) -> Any:
"""Visit an async function definition.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
visitor = NonLocals()
visitor.visit(node)
self.nonlocals.update(visitor.loads - visitor.stores)
@override
def visit_Lambda(self, node: ast.Lambda) -> Any:
"""Visit a lambda function.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
visitor = NonLocals()
visitor.visit(node)
self.nonlocals.update(visitor.loads - visitor.stores)
class NonLocals(ast.NodeVisitor):
"""Get nonlocal variables accessed."""
def __init__(self) -> None:
self.loads: set[str] = set()
self.stores: set[str] = set()
@override
def visit_Name(self, node: ast.Name) -> Any:
"""Visit a name node.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
if isinstance(node.ctx, ast.Load):
self.loads.add(node.id)
elif isinstance(node.ctx, ast.Store):
self.stores.add(node.id)
@override
def visit_Attribute(self, node: ast.Attribute) -> Any:
"""Visit an attribute node.
Args:
node: The node to visit.
Returns:
Any: The result of the visit.
"""
if isinstance(node.ctx, ast.Load):
parent = node.value
attr_expr = node.attr
while isinstance(parent, ast.Attribute):
attr_expr = parent.attr + "." + attr_expr
parent = parent.value
if isinstance(parent, ast.Name):
self.loads.add(parent.id + "." + attr_expr)
self.loads.discard(parent.id)
elif isinstance(parent, ast.Call):
if isinstance(parent.func, ast.Name):
self.loads.add(parent.func.id)
else:
parent = parent.func
attr_expr = ""
while isinstance(parent, ast.Attribute):
if attr_expr:
attr_expr = parent.attr + "." + attr_expr
else:
attr_expr = parent.attr
parent = parent.value
if isinstance(parent, ast.Name):
self.loads.add(parent.id + "." + attr_expr)
def is_xxh3_128_hexdigest(value: str) -> bool:
"""Check if the given string matches the format of xxh3_128_hexdigest."""
return bool(re.fullmatch(r"[0-9a-f]{32}", value))
-40
View File
@@ -70,8 +70,6 @@ __all__ = (
"RetryPolicy",
"TimeoutPolicy",
"CachePolicy",
"TracePolicy",
"omit_payload",
"Interrupt",
"StateUpdate",
"PregelTask",
@@ -529,44 +527,6 @@ class CachePolicy(Generic[KeyFuncT]):
"""Time to live for the cache entry in seconds. If `None`, the entry never expires."""
@dataclass(**_DC_KWARGS)
class TracePolicy:
"""Configuration for how a node's run is traced.
Scope: this only transforms what the node's *own* run records. Child runs created
by a traced `bound` runnable and the root graph run are not affected. Plain
function nodes are traced with `trace=False`, so they have no such child runs.
Not intended to redact secrets. To redact inputs/outputs across all runs
(children included), use the LangSmith client's
`hide_inputs`/`hide_outputs`/`anonymizer` instead.
Each processor receives the node's raw input/output value (not a normalized
kwargs dict) and returns the value to record.
"""
process_inputs: Callable[[Any], Any] | None = None
"""Optional callable to transform the node's input before it is recorded on the
node's trace run. Can be used to omit or summarize large payloads
(e.g. message history). Not intended to affect the value passed to the node; avoid
mutating arguments in place."""
process_outputs: Callable[[Any], Any] | None = None
"""Optional callable to transform the node's output before it is recorded on the
node's trace run. Can be used to omit or summarize large payloads
(e.g. message history). Not intended to affect the value returned by the node; avoid
mutating arguments in place."""
def omit_payload(_value: Any) -> dict[str, Any]:
"""`TracePolicy` helper that records an empty payload, dropping the value entirely.
Use as `process_inputs` and/or `process_outputs` on a `TracePolicy` to keep a node's
span and its timing while omitting its inputs/outputs from the trace.
"""
return {}
_DEFAULT_INTERRUPT_ID = "placeholder-id"
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.11"
version = "1.2.10"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -616,117 +616,3 @@ async def test_add_messages_to_delta_migration_preserves_message_history_async()
assert [m.id for m in snap.values["messages"]] == ["h1", "a1"], (
f"async tip hydration mismatch: got {[m.id for m in snap.values['messages']]}"
)
# ---------------------------------------------------------------------------
# 8. First post-migration write, read back cold (regression for #8384)
#
# The migration boundary produces a checkpoint that carries BOTH a pre-delta
# plain-value blob AND the pending write that produced its (delta-era) child.
# That write is not subsumed by the blob — the blob is the value ENTERING that
# checkpoint. A saver whose ancestor walk skips the seed checkpoint's own
# writes silently drops the first post-migration write.
#
# The failure is invisible to the live `invoke` return value (computed
# in-memory before persistence), so these tests must assert on a COLD read.
# It is also invisible at `snapshot_frequency=1`, where every write is its own
# snapshot boundary and the walk never terminates on a plain value — hence the
# explicit default-frequency coverage.
# ---------------------------------------------------------------------------
def test_first_post_migration_write_survives_cold_read() -> None:
"""One non-snapshotting write after migrating a thread to `DeltaChannel`
must still be present when the state is read back from the checkpointer.
Regression for #8384: `invoke` returned the correct value while
`get_state` dropped the write permanently.
"""
checkpointer = InMemorySaver()
config = {"configurable": {"thread_id": "first-post-migration"}}
binop = _binop_graph(checkpointer)
binop.invoke({"items": ["a"]}, config)
delta = _delta_graph(checkpointer)
live = delta.invoke({"items": ["b"]}, config)
assert list(live["items"]) == ["a", "b"], "live invoke lost the write"
cold = delta.get_state(config)
assert list(cold.values["items"]) == ["a", "b"], (
"first post-migration write dropped on cold read: "
f"got {list(cold.values['items'])}"
)
async def test_first_post_migration_write_survives_cold_read_async() -> None:
"""Async variant of the #8384 regression."""
checkpointer = InMemorySaver()
config = {"configurable": {"thread_id": "first-post-migration-async"}}
binop = _binop_graph(checkpointer)
await binop.ainvoke({"items": ["a"]}, config)
delta = _delta_graph(checkpointer)
live = await delta.ainvoke({"items": ["b"]}, config)
assert list(live["items"]) == ["a", "b"], "live ainvoke lost the write"
cold = await delta.aget_state(config)
assert list(cold.values["items"]) == ["a", "b"], (
"first post-migration write dropped on cold read: "
f"got {list(cold.values['items'])}"
)
def test_post_migration_writes_match_base_saver_fallback() -> None:
"""Parity across the migration boundary WITH post-migration writes.
`test_base_saver_fallback_matches_optimized_override` only reads a
pre-migration chain, so the optimized override and the reference walk
never disagree there. Driving writes after the migration is what
separates them.
"""
def _run(saver: Any, thread: str) -> list[tuple[Any, list]]:
config = {"configurable": {"thread_id": thread}}
_drive(_binop_graph(saver), config, "u", 2)
delta = _delta_graph(saver)
_drive(delta, config, "d", 3)
return [
(s.next, list(s.values.get("items", [])))
for s in delta.get_state_history(config)
]
fast = _run(InMemorySaver(), "fast")
slow = _run(_ThirdPartyStyleSaver(), "slow")
assert fast == slow, (
"optimized override diverges from the base-saver fallback once "
f"post-migration writes exist; fast={fast}, slow={slow}"
)
# Guard the assertion above against both paths being wrong in the same way.
assert fast[0][1] == ["u0", "u1", "d0", "d1", "d2"], (
f"unexpected accumulated state: {fast[0][1]}"
)
def test_add_messages_migration_keeps_first_post_migration_message() -> None:
"""The `add_messages` -> `DeltaChannel` path is the one Deep Agents takes;
dropping the first post-migration write loses a real user message.
"""
checkpointer = InMemorySaver()
config = {"configurable": {"thread_id": "add-messages-first-write"}}
pre_graph = _add_messages_graph(checkpointer)
pre_graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
delta_graph = _delta_messages_graph(checkpointer)
delta_graph.invoke({"messages": [HumanMessage(content="second", id="h2")]}, config)
ids = [m.id for m in delta_graph.get_state(config).values["messages"]]
# h1 is the pre-migration seed, h2 the write that was being dropped; both
# have to survive, and in order.
assert ids == ["h1", "h2"], f"expected ['h1', 'h2'], got {ids}"
@@ -0,0 +1,184 @@
"""Tests that `DeltaChannel` replay preserves live parallel-write order.
Regression suite for #8382.
`apply_writes` sorts a super-step's tasks by `task_path_str(task.path[:3])`
before handing their values to `channel.update`, so the order a reducer sees is
deterministic and independent of which parallel task finishes first. Replay has
to recover that same order. Ordering a checkpoint's writes by `(task_id, idx)`
does not: `task_id` is a hash of the path, so for two or more tasks writing one
`DeltaChannel` in a single super-step it yields an effectively arbitrary
permutation. Reducers are required to be batching-invariant, not
order-invariant, so the permutation changes the reconstructed value.
Every test runs against the full `async_checkpointer` matrix memory, sqlite,
and postgres in three pool modes because each saver reconstructs delta
channels through its own `aget_delta_channel_history` override rather than a
shared code path, and the three stored `task_path` differently before this fix.
"""
from itertools import pairwise
from typing import Annotated, Any
import pytest
from langgraph.checkpoint.base import BaseCheckpointSaver
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import END, START, StateGraph
pytestmark = pytest.mark.anyio
# Node names double as the values written. They are listed in sorted order,
# which is also the order live execution applies them: each node is a PULL task
# whose path is `("__pregel_pull", name)`, so sorting paths sorts by name.
FAN_OUT_NAMES = ["a", "b", "c", "d", "e", "f", "g", "h"]
def _append_reducer(current: list, updates: list) -> list:
"""Order-sensitive list accumulation, as in the `DeltaChannel` docstring."""
result = list(current)
for update in updates:
if isinstance(update, list):
result.extend(update)
else:
result.append(update)
return result
def _build_graph(checkpointer: BaseCheckpointSaver, *, sequential: bool = False) -> Any:
"""Compile a `DeltaChannel`-backed `items` graph over `FAN_OUT_NAMES`.
By default every node is wired off `START`, so they all write `items` in one
super-step the shape #8382 is about. `sequential=True` chains them
instead, giving one writer per super-step as a control.
`snapshot_frequency` is far above the number of updates these tests make, so
no snapshot is ever written and the value has to come from replaying
ancestor writes the path under test.
"""
class State(TypedDict):
items: Annotated[
list, DeltaChannel(_append_reducer, list, snapshot_frequency=10_000)
]
def make_node(label: str) -> Any:
def node(state: State) -> dict:
return {"items": [label]}
return node
builder = StateGraph(State)
for name in FAN_OUT_NAMES:
builder.add_node(name, make_node(name))
if sequential:
for source, target in pairwise([START, *FAN_OUT_NAMES, END]):
builder.add_edge(source, target)
else:
for name in FAN_OUT_NAMES:
builder.add_edge(START, name)
builder.add_edge(name, END)
return builder.compile(checkpointer=checkpointer)
async def test_get_state_matches_live_invoke_order(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""A cold read reports the same order `invoke` returned."""
graph = _build_graph(async_checkpointer)
config = {"configurable": {"thread_id": "1"}}
live = (await graph.ainvoke({"items": []}, config))["items"]
replayed = (await graph.aget_state(config)).values["items"]
assert live == FAN_OUT_NAMES
assert replayed == live
async def test_continuing_thread_preserves_committed_prefix(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""A second run appends without reordering the first run's items.
The more serious half of #8382: the reordered replay becomes the base that
later writes build on, so the corruption is persisted rather than confined
to a read.
"""
graph = _build_graph(async_checkpointer)
config = {"configurable": {"thread_id": "1"}}
first = (await graph.ainvoke({"items": []}, config))["items"]
second = (await graph.ainvoke({"items": []}, config))["items"]
assert second == first + first
assert (await graph.aget_state(config)).values["items"] == second
async def test_order_stable_across_many_supersteps(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Order holds over a chain spanning several supersteps with no snapshot."""
runs = 5
graph = _build_graph(async_checkpointer)
config = {"configurable": {"thread_id": "1"}}
for _ in range(runs):
live = (await graph.ainvoke({"items": []}, config))["items"]
assert live == FAN_OUT_NAMES * runs
assert (await graph.aget_state(config)).values["items"] == live
async def test_state_history_reports_live_order_at_every_step(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Every checkpoint in the history replays in live order.
Guards the walk at intermediate depths, not just from the head. Entries are
checked against the order live execution produced rather than against the
replayed head comparing replayed values only to each other passes even
when every one of them is permuted the same wrong way.
"""
runs = 3
graph = _build_graph(async_checkpointer)
config = {"configurable": {"thread_id": "1"}}
for _ in range(runs):
await graph.ainvoke({"items": []}, config)
live_expected = FAN_OUT_NAMES * runs
seen = [
snapshot.values["items"]
async for snapshot in graph.aget_state_history(config)
if "items" in snapshot.values
]
assert seen, "expected at least one snapshot carrying `items`"
# The deepest entry is the head, so the matrix below covers the full value
# as well as every partial prefix.
assert max(len(values) for values in seen) == len(live_expected)
for values in seen:
assert values == live_expected[: len(values)], (
f"history entry {values} is not the live order "
f"{live_expected[: len(values)]}"
)
async def test_sequential_graph_unaffected(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""One writer per super-step replays correctly with or without the fix.
Control: it localises #8382 to multiple tasks writing one channel in a
single super-step, rather than to delta replay in general. This is the one
test here that passes on main.
"""
graph = _build_graph(async_checkpointer, sequential=True)
config = {"configurable": {"thread_id": "1"}}
live = (await graph.ainvoke({"items": []}, config))["items"]
replayed = (await graph.aget_state(config)).values["items"]
assert live == FAN_OUT_NAMES
assert replayed == live
@@ -1,286 +0,0 @@
"""Tests for subgraph auto-detection (`pregel/_utils.py`).
Detection failing is silent the graph still runs, only introspection goes
quiet so every shape a node can hold a graph in is pinned here. The expected
values are what the source-parsing implementation this replaced produced for
the same shapes, except for `sourceless`, whose source it could not read,
`empty_closure_cell`, on which it raised, and `unreachable_attribute_chain`,
where it reported a graph that dropped code could never invoke.
"""
import functools
import operator
from typing import Annotated, Any
import pytest
from typing_extensions import TypedDict
from langgraph.graph import END, START, StateGraph
from langgraph.pregel._utils import get_function_nonlocals
class State(TypedDict):
log: Annotated[list, operator.add]
def _leaf(tag: str) -> Any:
"""Return a compiled graph that reports itself as `tag`."""
builder = StateGraph(State)
builder.add_node(tag, lambda s: {"log": [tag]})
builder.add_edge(START, tag)
builder.add_edge(tag, END)
compiled = builder.compile()
compiled.name = tag
return compiled
def _detect(node: Any) -> str | None:
"""Return the name of the subgraph detected for `node`, or None."""
builder = StateGraph(State)
builder.add_node("n", node)
builder.add_edge(START, "n")
builder.add_edge("n", END)
subgraphs = builder.compile().nodes["n"].subgraphs
return getattr(subgraphs[0], "name", "?") if subgraphs else None
class _Box:
def __init__(self, payload: Any) -> None:
self.payload = payload
class _ListSubclass(list):
pass
class _MethodHolder:
def __init__(self) -> None:
self.graph = _leaf("via_self")
def as_node(self, state: State) -> Any:
return self.graph.invoke(state)
MODULE_GRAPH = _leaf("module_global")
CHAIN = _Box(_Box(_leaf("attr_chain")))
GRAPH_IN_PLAIN_LIST = [_leaf("in_list")]
METHOD_HOLDER = _MethodHolder()
def closure_capture() -> Any:
sub = _leaf("closure")
def node(state: State) -> Any:
return sub.invoke(state)
return node
def module_global() -> Any:
def node(state: State) -> Any:
return MODULE_GRAPH.invoke(state)
return node
def attribute_chain() -> Any:
def node(state: State) -> Any:
return CHAIN.payload.payload.invoke(state)
return node
def nested_def_captured_attribute() -> Any:
"""A chain on a captured holder, named only inside a nested code object.
The captured value is the holder, not the graph, so the chain itself has to
be recovered from the nested scope.
"""
holder = _Box(_leaf("nested_captured"))
def node(state: State) -> Any:
def inner() -> Any:
return holder.payload.invoke(state)
return inner()
return node
def unreachable_branch() -> Any:
"""A captured graph referenced only from code the compiler removes."""
sub = _leaf("unreachable")
def node(state: State) -> Any:
if False:
sub.invoke(state)
return {"log": []}
return node
def unreachable_attribute_chain() -> Any:
"""A graph named only along an attribute path the compiler dropped.
The closure keeps `holder`, but the `.payload` load is gone. The source
parser reported this one; dropped code cannot invoke anything, so that was
a phantom rather than a detection.
"""
holder = _Box(_leaf("unreachable_attr"))
def node(state: State) -> Any:
if False:
holder.payload.invoke(state)
return {"log": []}
return node
def wrapper_referencing_nothing() -> Any:
"""A wrapper whose own scope holds nothing, so only `__wrapped__` leads on.
`functools.wraps` would leave the wrapper closing over the inner function;
setting the attribute by hand does not.
"""
sub = _leaf("via_wrapped")
def inner(state: State) -> Any:
return sub.invoke(state)
def wrapper(state: State) -> Any:
return {"log": []}
wrapper.__wrapped__ = inner
return wrapper
def captured_list_subclass() -> Any:
"""A `list` subclass is not a leaf: it can carry a graph as an attribute."""
holder = _ListSubclass()
holder.payload = _leaf("list_subclass")
def node(state: State) -> Any:
return holder.payload.invoke(state)
return node
def empty_closure_cell() -> Any:
"""An unassigned closure variable leaves a cell that cannot be read."""
sub = _leaf("beside_empty_cell")
def node(state: State) -> Any:
return unassigned, sub.invoke(state)
return node
unassigned = 1 # never runs, so the cell it creates is never filled
def sourceless() -> Any:
"""A node compiled without a source file, which `getsource` could not read."""
namespace: dict[str, Any] = {"SOURCELESS": _leaf("sourceless")}
exec(
compile(
"def node(state):\n return SOURCELESS.invoke(state)", "<test>", "exec"
),
namespace,
)
return namespace["node"]
async def _async_node(state: State) -> Any:
return await MODULE_GRAPH.ainvoke(state)
def async_node() -> Any:
return _async_node
def no_subgraph() -> Any:
"""Nothing but leaf values in reach, so the bytecode walk is skipped."""
def node(state: State) -> Any:
return {"log": [len("abc") + 1]}
return node
def recombined_names() -> Any:
"""Loads `CHAIN.payload` and `local.payload`, never `CHAIN.payload.payload`."""
def node(state: State) -> Any:
local = _Box("not a graph")
return {"log": [CHAIN.payload, local.payload]}
return node
def broken_attribute_chain() -> Any:
holder = _Box("a string, so `.payload.missing` cannot resolve")
def node(state: State) -> Any:
return holder.payload.missing.invoke(state)
return node
def nested_def_global() -> Any:
"""A global named only in a nested code object: out of reach, as before."""
def node(state: State) -> Any:
def inner() -> Any:
return MODULE_GRAPH.invoke(state)
return inner()
return node
def graph_in_plain_list() -> Any:
def node(state: State) -> Any:
return GRAPH_IN_PLAIN_LIST[0].invoke(state)
return node
def bound_method_self() -> Any:
return METHOD_HOLDER.as_node
@pytest.mark.parametrize(
("factory", "expected"),
[
(closure_capture, "closure"),
(module_global, "module_global"),
(attribute_chain, "attr_chain"),
(nested_def_captured_attribute, "nested_captured"),
(unreachable_branch, "unreachable"),
(wrapper_referencing_nothing, "via_wrapped"),
(captured_list_subclass, "list_subclass"),
(empty_closure_cell, "beside_empty_cell"),
(sourceless, "sourceless"),
(async_node, "module_global"),
# Shapes no reference chain reaches: a subscript, an instance attribute
# of `self`, a global named only in a nested scope, and an attribute
# path the compiler dropped.
(no_subgraph, None),
(recombined_names, None),
(broken_attribute_chain, None),
(nested_def_global, None),
(graph_in_plain_list, None),
(bound_method_self, None),
(unreachable_attribute_chain, None),
],
ids=lambda value: value.__name__ if callable(value) else str(value),
)
def test_subgraph_detection(factory: Any, expected: str | None) -> None:
assert _detect(factory()) == expected
@pytest.mark.parametrize(
"candidate",
[functools.partial(lambda state, extra: {"log": [extra]}, extra="x"), len],
ids=["partial", "builtin"],
)
def test_callables_without_a_code_object_are_handled(candidate: Any) -> None:
assert get_function_nonlocals(candidate) == []
-149
View File
@@ -1,149 +0,0 @@
"""End-to-end tests for `TracePolicy` input processing on node trace runs."""
from typing import Any
import pytest
from typing_extensions import TypedDict
from langgraph.graph import END, START, StateGraph
from langgraph.types import TracePolicy
from tests.fake_tracer import FakeTracer, Run
class State(TypedDict):
value: int
def _node_run(tracer: FakeTracer, name: str) -> Run:
return next(r for r in tracer.flattened_runs() if r.name == name)
def _incr(state: State) -> State:
return {"value": state["value"] + 1}
def test_trace_policy_transforms_recorded_inputs() -> None:
seen: dict[str, Any] = {}
def process_inputs(inp: Any) -> Any:
seen["inputs"] = inp
return {"scrubbed_in": True}
graph = (
StateGraph(State)
.add_node("n", _incr, trace_policy=TracePolicy(process_inputs=process_inputs))
.add_edge(START, "n")
.add_edge("n", END)
.compile()
)
tracer = FakeTracer()
# the real graph output is unaffected by the trace policy
assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
run = _node_run(tracer, "n")
# the recorded input is transformed; the output is recorded as-is
assert run.inputs == {"scrubbed_in": True}
assert run.outputs == {"value": 2}
# process_inputs observed the real, untransformed input
assert seen["inputs"] == {"value": 1}
def test_trace_policy_transforms_recorded_outputs() -> None:
seen: dict[str, Any] = {}
def process_outputs(out: Any) -> Any:
seen["outputs"] = out
return {"scrubbed_out": True}
graph = (
StateGraph(State)
.add_node("n", _incr, trace_policy=TracePolicy(process_outputs=process_outputs))
.add_edge(START, "n")
.add_edge("n", END)
.compile()
)
tracer = FakeTracer()
# the real graph output is unaffected by the trace policy
assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
run = _node_run(tracer, "n")
# the recorded output is transformed; the input is recorded as-is
assert run.inputs == {"value": 1}
assert run.outputs == {"scrubbed_out": True}
# process_outputs observed the real, untransformed output
assert seen["outputs"] == {"value": 2}
def test_trace_policy_none_records_real_payloads() -> None:
graph = (
StateGraph(State)
.add_node("n", _incr)
.add_edge(START, "n")
.add_edge("n", END)
.compile()
)
tracer = FakeTracer()
assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
run = _node_run(tracer, "n")
assert run.inputs == {"value": 1}
assert run.outputs == {"value": 2}
def test_trace_policy_processor_error_safe_without_callbacks() -> None:
def boom(_inp: Any) -> Any:
raise RuntimeError("processor failed")
graph = (
StateGraph(State)
.add_node("n", _incr, trace_policy=TracePolicy(process_inputs=boom))
.add_edge(START, "n")
.add_edge("n", END)
.compile()
)
# no callbacks: the processor still runs but is fail-open, so execution is unaffected
assert graph.invoke({"value": 1}) == {"value": 2}
def test_trace_policy_processor_error_does_not_break_execution() -> None:
def boom(_inp: Any) -> Any:
raise RuntimeError("processor failed")
graph = (
StateGraph(State)
.add_node("n", _incr, trace_policy=TracePolicy(process_inputs=boom))
.add_edge(START, "n")
.add_edge("n", END)
.compile()
)
tracer = FakeTracer()
# a raising processor must not abort the node; the untransformed input is recorded
assert graph.invoke({"value": 1}, {"callbacks": [tracer]}) == {"value": 2}
assert _node_run(tracer, "n").inputs == {"value": 1}
@pytest.mark.anyio
async def test_trace_policy_transforms_recorded_inputs_async() -> None:
graph = (
StateGraph(State)
.add_node(
"n",
_incr,
trace_policy=TracePolicy(process_inputs=lambda _: {"scrubbed_in": True}),
)
.add_edge(START, "n")
.add_edge("n", END)
.compile()
)
tracer = FakeTracer()
assert await graph.ainvoke({"value": 5}, {"callbacks": [tracer]}) == {"value": 6}
run = _node_run(tracer, "n")
assert run.inputs == {"scrubbed_in": True}
assert run.outputs == {"value": 6}
+313 -313
View File
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]
[[package]]
+4 -17
View File
@@ -37,7 +37,6 @@ uv add langchain-anthropic
from langchain_anthropic import ChatAnthropic
from langgraph.prebuilt import create_react_agent
# Define the tools for the agent to use
def search(query: str):
"""Call to surf the web."""
@@ -46,7 +45,6 @@ def search(query: str):
return "It's 60 degrees and foggy."
return "It's 90 degrees and sunny."
tools = [search]
model = ChatAnthropic(model="claude-3-7-sonnet-latest")
@@ -67,7 +65,6 @@ app.invoke(
from langgraph.prebuilt import ToolNode
from langchain_core.messages import AIMessage
def search(query: str):
"""Call to surf the web."""
# This is a placeholder, but don't tell the LLM that...
@@ -75,11 +72,8 @@ def search(query: str):
return "It's 60 degrees and foggy."
return "It's 90 degrees and sunny."
tool_node = ToolNode([search])
tool_calls = [
{"name": "search", "args": {"query": "what is the weather in sf"}, "id": "1"}
]
tool_calls = [{"name": "search", "args": {"query": "what is the weather in sf"}, "id": "1"}]
ai_message = AIMessage(content="", tool_calls=tool_calls)
# execute tool call
tool_node.invoke({"messages": [ai_message]})
@@ -104,17 +98,10 @@ class SelectNumber(BaseModel):
raise ValueError("Only 37 is allowed")
return v
validation_node = ValidationNode([SelectNumber])
validation_node.invoke(
{
"messages": [
AIMessage(
"", tool_calls=[{"name": "SelectNumber", "args": {"a": 42}, "id": "1"}]
)
]
}
)
validation_node.invoke({
"messages": [AIMessage("", tool_calls=[{"name": "SelectNumber", "args": {"a": 42}, "id": "1"}])]
})
```
## Agent Inbox
+6 -6
View File
@@ -168,7 +168,7 @@ name = "exceptiongroup"
version = "1.3.1"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
wheels = [
@@ -285,7 +285,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.11"
version = "1.2.10"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -369,7 +369,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.1.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -417,7 +417,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.2"
version = "3.1.1"
source = { editable = "../checkpoint-postgres" }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -625,13 +625,13 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.16.1" },
{ name = "ruff", specifier = "==0.15.20" },
{ name = "starlette" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "ruff", specifier = "==0.16.1" },
{ name = "ruff", specifier = "==0.15.20" },
{ name = "starlette" },
{ name = "ty" },
]
+1 -3
View File
@@ -87,9 +87,7 @@ async with client.threads.stream(assistant_id="agent") as thread:
```python
async with client.threads.stream(assistant_id="agent") as thread:
await thread.run.start(
input={"messages": [{"role": "user", "content": "book a flight"}]}
)
await thread.run.start(input={"messages": [{"role": "user", "content": "book a flight"}]})
# Wait for the run to pause at an interrupt node.
# thread.interrupted becomes True when input.requested arrives.
+3 -5
View File
@@ -43,9 +43,7 @@ thread = await client.threads.create()
# Start a streaming run
input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
async for chunk in client.runs.stream(
thread["thread_id"], agent["assistant_id"], input=input
):
async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
print(chunk)
```
@@ -82,9 +80,9 @@ async with client.threads.stream(
messages, tool_calls = await asyncio.gather(get_messages(), get_tool_calls())
for stream in messages:
print(await stream.text) # accumulated text
print(await stream.text) # accumulated text
final = await thread.output # terminal state values
final = await thread.output # terminal state values
```
## 📕 Releases & Versioning
+3 -10
View File
@@ -1,15 +1,8 @@
from langgraph_sdk.auth import Auth
from langgraph_sdk.client import get_client, get_sync_client
from langgraph_sdk.encryption import Encryption
from langgraph_sdk.encryption.types import DecryptResult, EncryptionContext
from langgraph_sdk.encryption.types import EncryptionContext
__version__ = "0.4.3"
__version__ = "0.4.2"
__all__ = [
"Auth",
"DecryptResult",
"Encryption",
"EncryptionContext",
"get_client",
"get_sync_client",
]
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
@@ -18,9 +18,6 @@ import warnings
from langgraph_sdk.encryption import types
_BlobDecryptorT = typing.TypeVar("_BlobDecryptorT", bound=types.BlobDecryptor)
_JsonDecryptorT = typing.TypeVar("_JsonDecryptorT", bound=types.JsonDecryptor)
class LangGraphBetaWarning(UserWarning):
"""Warning for beta features in LangGraph SDK."""
@@ -144,7 +141,7 @@ class _DecryptDecorators:
def __init__(self, parent: Encryption):
self._parent = parent
def blob(self, fn: _BlobDecryptorT) -> _BlobDecryptorT:
def blob(self, fn: types.BlobDecryptor) -> types.BlobDecryptor:
"""Register a blob decryption handler.
The handler will be called to decrypt opaque data like checkpoint blobs.
@@ -152,9 +149,7 @@ class _DecryptDecorators:
Example:
```python
@encryption.decrypt.blob
async def decrypt_blob(
ctx: EncryptionContext, blob: bytes
) -> bytes | DecryptResult[bytes]:
async def decrypt_blob(ctx: EncryptionContext, blob: bytes) -> bytes:
# Decrypt the blob using your encryption service
return decrypted_blob
```
@@ -175,15 +170,13 @@ class _DecryptDecorators:
self._parent._blob_decryptor = fn
return fn
def json(self, fn: _JsonDecryptorT) -> _JsonDecryptorT:
def json(self, fn: types.JsonDecryptor) -> types.JsonDecryptor:
"""Register the JSON decryption handler.
Example:
```python
@encryption.decrypt.json
async def decrypt_json(
ctx: EncryptionContext, data: dict
) -> dict | DecryptResult[dict]:
async def decrypt_json(ctx: EncryptionContext, data: dict) -> dict:
# Decrypt the data
return decrypt_data(data)
```
@@ -376,7 +369,7 @@ class Encryption:
"""Reference to encryption type definitions.
Provides access to all type definitions used in the encryption system,
including EncryptionContext, DecryptResult, BlobEncryptor, BlobDecryptor,
including EncryptionContext, BlobEncryptor, BlobDecryptor,
JsonEncryptor, and JsonDecryptor.
"""
+4 -30
View File
@@ -9,30 +9,10 @@ from __future__ import annotations
import typing
from collections.abc import Awaitable, Callable
from dataclasses import dataclass
Json = dict[str, typing.Any]
"""JSON-serializable dictionary type for structured data encryption."""
T = typing.TypeVar("T")
@dataclass(frozen=True, slots=True)
class DecryptResult(typing.Generic[T]):
"""Decrypted data and optional replacement ciphertext.
Return this from a decrypt handler when encrypted data should be replaced,
such as after rotating its encryption key. Returning plaintext directly
remains supported when no replacement is needed.
Attributes:
plaintext: Decrypted data returned to the caller
replacement: New encrypted data to persist in place of the input
"""
plaintext: T
replacement: T | None = None
class EncryptionContext:
"""Context passed to encryption/decryption handlers.
@@ -77,9 +57,7 @@ Returns:
Awaitable that resolves to encrypted bytes
"""
BlobDecryptor = Callable[
[EncryptionContext, bytes], Awaitable[bytes | DecryptResult[bytes]]
]
BlobDecryptor = Callable[[EncryptionContext, bytes], Awaitable[bytes]]
"""Handler for decrypting opaque blob data like checkpoints.
Note: Must be an async function. Decryption typically involves I/O operations
@@ -90,8 +68,7 @@ Args:
blob: The encrypted bytes to decrypt
Returns:
Awaitable that resolves to decrypted bytes, or a DecryptResult containing
decrypted bytes and replacement ciphertext
Awaitable that resolves to decrypted bytes
"""
JsonEncryptor = Callable[[EncryptionContext, Json], Awaitable[Json]]
@@ -124,9 +101,7 @@ Returns:
Awaitable that resolves to encrypted JSON dictionary
"""
JsonDecryptor = Callable[
[EncryptionContext, Json], Awaitable[Json | DecryptResult[Json]]
]
JsonDecryptor = Callable[[EncryptionContext, Json], Awaitable[Json]]
"""Handler for decrypting structured JSON data.
Note: Must be an async function. Decryption typically involves I/O operations
@@ -140,8 +115,7 @@ Args:
data: The encrypted JSON dictionary
Returns:
Awaitable that resolves to a decrypted JSON dictionary, or a DecryptResult
containing decrypted JSON and replacement ciphertext
Awaitable that resolves to decrypted JSON dictionary
"""
if typing.TYPE_CHECKING:
+1 -1
View File
@@ -963,7 +963,7 @@ class _BaseModelLike(Protocol):
) -> dict[str, Any]: ...
_JSONLike: TypeAlias = str | int | float | bool | None
_JSONLike: TypeAlias = None | str | int | float | bool
_JSONMap: TypeAlias = Mapping[
str, Union[_JSONLike, list[_JSONLike], "_JSONMap", list["_JSONMap"]]
]
+1 -1
View File
@@ -36,7 +36,7 @@ test = [
"pytest-watch",
]
lint = [
"ruff==0.16.1",
"ruff==0.15.20",
"codespell",
"ty",
"starlette",
-32
View File
@@ -1,40 +1,8 @@
from collections.abc import Awaitable, Callable
import pytest
from langgraph_sdk import DecryptResult, EncryptionContext
from langgraph_sdk.encryption import DuplicateHandlerError, Encryption
def test_decrypt_result():
result = DecryptResult(plaintext=b"plain", replacement=b"rotated")
assert result.plaintext == b"plain"
assert result.replacement == b"rotated"
assert DecryptResult(plaintext={"plain": True}).replacement is None
def test_decrypt_decorators_preserve_return_types():
encryption = Encryption()
@encryption.decrypt.blob
async def blob_dec(_ctx: EncryptionContext, data: bytes) -> bytes:
return data
@encryption.decrypt.json
async def json_dec(
_ctx: EncryptionContext, data: dict[str, object]
) -> dict[str, object]:
return data
blob_handler: Callable[[EncryptionContext, bytes], Awaitable[bytes]] = blob_dec
json_handler: Callable[
[EncryptionContext, dict[str, object]], Awaitable[dict[str, object]]
] = json_dec
assert blob_handler is blob_dec
assert json_handler is json_dec
class TestHandlerValidation:
"""Test duplicate handler and signature validation."""
+199 -199
View File
@@ -154,11 +154,11 @@ wheels = [
[[package]]
name = "codespell"
version = "2.4.3"
version = "2.4.2"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/80/19/45e941380f69c042b43423513d201e6592346f992394347f5e7174c31407/codespell-2.4.3.tar.gz", hash = "sha256:cbe085e331227b37bb86ef8bddd08dc768c704ee9a07ca869852c093fa2793e2", size = 352773, upload-time = "2026-07-15T11:51:54.159Z" }
sdist = { url = "https://files.pythonhosted.org/packages/2d/9d/1d0903dff693160f893ca6abcabad545088e7a2ee0a6deae7c24e958be69/codespell-2.4.2.tar.gz", hash = "sha256:3c33be9ae34543807f088aeb4832dfad8cb2dae38da61cac0a7045dd376cfdf3", size = 352058, upload-time = "2026-03-05T18:10:42.936Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/8b/bf/bdb951d34eb169140b546f44be9ec4525d1acefb9eb5572071f5492b19fc/codespell-2.4.3-py3-none-any.whl", hash = "sha256:af2505b335e8573dbd2d384d1c4ef498f4006f4ba2d6fceca01e55b91f52628a", size = 340736, upload-time = "2026-07-15T11:51:52.925Z" },
{ url = "https://files.pythonhosted.org/packages/42/a1/52fa05533e95fe45bcc09bcf8a503874b1c08f221a4e35608017e0938f55/codespell-2.4.2-py3-none-any.whl", hash = "sha256:97e0c1060cf46bd1d5db89a936c98db8c2b804e1fdd4b5c645e82a1ec6b1f886", size = 353715, upload-time = "2026-03-05T18:10:41.398Z" },
]
[[package]]
@@ -266,7 +266,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.5.3"
version = "1.4.8"
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/65/3e/63af6b9d76d9be907c7c524d6ec18a2efed7e0e2d123fea0230d78dbd73f/langchain_core-1.5.3.tar.gz", hash = "sha256:a56457ac444fef41e9404443c187f0ecea708d36e816ea4ba9573c027f7d1a2d", size = 972461, upload-time = "2026-07-30T14:55:55.833Z" }
sdist = { url = "https://files.pythonhosted.org/packages/12/e3/bea6d0080acf183332f24dcd74c208aee5857cf8f783c3fb0bd86027d8fb/langchain_core-1.4.8.tar.gz", hash = "sha256:5bf1f8411077c904182ad8f975943d36adcbf579c4e017b3a118b719229ebf9a", size = 957974, upload-time = "2026-06-18T19:39:23.636Z" }
wheels = [
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{ url = "https://files.pythonhosted.org/packages/13/d6/bdf6f0481cc57ef300d6b1eb48cf1400c0409be715d6eb3cabadd1142a09/langchain_core-1.4.8-py3-none-any.whl", hash = "sha256:d84c28b05e3ba8d4271d0827aad5b592ccdaaf986e76768c23503f0a2045e8aa", size = 557416, upload-time = "2026-06-18T19:39:21.902Z" },
]
[[package]]
@@ -298,7 +298,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.11"
version = "1.2.10"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -382,7 +382,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.2.0"
version = "4.1.1"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -534,13 +534,13 @@ dev = [
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.16.1" },
{ name = "ruff", specifier = "==0.15.20" },
{ name = "starlette" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "ruff", specifier = "==0.16.1" },
{ name = "ruff", specifier = "==0.15.20" },
{ name = "starlette" },
{ name = "ty" },
]
@@ -1016,27 +1016,27 @@ wheels = [
[[package]]
name = "ruff"
version = "0.16.1"
version = "0.15.20"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/70/25/7113f6d5498888c5fb7db34081cba7d5971c4cb1bfb26819966eee68f003/ruff-0.16.1.tar.gz", hash = "sha256:fedad7c801dabd3fb9741d76aca39246e6ddd9ca446a015875207bf19f1e6bc7", size = 4877500, upload-time = "2026-07-30T19:37:01.379Z" }
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