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Author SHA1 Message Date
Elior Nataf LackritzandGitHub a72cb56fed Merge branch 'main' into fix/subgraph-delta-channel-hydration 2026-08-07 09:49:36 -04:00
Elior Nataf Lackritz 99f1e4e962 test(langgraph): pin subgraph persistence modes that stay unchanged
Adds controls for the two cases where an empty subgraph read is correct:
a `checkpointer=False` subgraph persists nothing, and a completed subgraph
exposes no task state through `subgraphs=True`. Both pass before and after
the fix, so the hydration change is pinned to the cases it should affect.
2026-08-05 21:10:03 -04:00
7912a1ce50 fix(langgraph): hydrate subgraph delta channels with resolved saver
`_prepare_state_snapshot` and `bulk_update_state` hydrated channels with
`self.checkpointer`, which is `None` for a subgraph — it borrows the parent's
saver through `CONFIG_KEY_CHECKPOINTER` at read time. Without a saver a
`DeltaChannel` cannot walk ancestors to replay its writes, so it fell through
to `from_checkpoint(MISSING)` and hydrated empty, silently.

The callers already resolve the right saver a few lines above every call site.
Pass it in, as a required keyword argument so no future call site can drop it.

On the write path the empty value was persisted as a `_DeltaSnapshot` whenever
the update reached the channel's snapshot cadence, losing history on disk.

Fixes #8470

Co-authored-by: gururafiki <22777967+gururafiki@users.noreply.github.com>
Co-authored-by: Yuan Gao <119447586+DavidGao520@users.noreply.github.com>
2026-08-05 14:15:37 -04:00
43 changed files with 1178 additions and 2014 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
@@ -199,74 +208,6 @@ 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(
saver: BaseCheckpointSaver,
) -> None:
"""Writes stored AT the seed ancestor must be included in `writes`.
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.
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.
"""
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']}"
)
values = [w[2] for w in result["ch"]["writes"]]
assert values == ["at-seed", "after-seed"], (
f'Expected ["at-seed", "after-seed"], got {values}'
)
ALL_DELTA_CHANNEL_HISTORY_TESTS = [
test_history_returns_writes_oldest_first,
test_history_seed_is_nearest_snapshot,
@@ -275,7 +216,6 @@ 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,
]
+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" },
+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" },
+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" },
@@ -148,16 +148,17 @@ 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", "")
@@ -204,6 +205,11 @@ class InMemorySaver(
):
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))
)
+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 = [
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[[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" },
]
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[[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))
+28 -16
View File
@@ -1146,9 +1146,26 @@ class Pregel(
self,
config: RunnableConfig,
saved: CheckpointTuple | None,
*,
saver: BaseCheckpointSaver | None,
recurse: BaseCheckpointSaver | None = None,
apply_pending_writes: bool = False,
) -> StateSnapshot:
"""Assemble a `StateSnapshot` from a saved checkpoint.
Args:
config: Config identifying the checkpoint being read.
saved: The checkpoint tuple to render, or `None` for an empty snapshot.
saver: Checkpointer to read with, as resolved by the caller from
`CONFIG_KEY_CHECKPOINTER` before falling back to `self.checkpointer`.
Required rather than defaulted because `self.checkpointer` is `None`
for a subgraph, which borrows the parent's saver through the config,
and a `DeltaChannel` silently hydrates empty without one.
recurse: When set, resolve subgraph task states with this checkpointer
instead of returning a config that merely signals they exist.
apply_pending_writes: Apply this checkpoint's pending writes to the
returned values.
"""
if not saved:
return StateSnapshot(
values={},
@@ -1169,9 +1186,7 @@ class Pregel(
channels, managed = channels_from_checkpoint(
self.channels,
saved.checkpoint,
saver=self.checkpointer
if isinstance(self.checkpointer, BaseCheckpointSaver)
else None,
saver=saver,
config=saved.config,
)
# tasks for this checkpoint
@@ -1269,9 +1284,12 @@ class Pregel(
self,
config: RunnableConfig,
saved: CheckpointTuple | None,
*,
saver: BaseCheckpointSaver | None,
recurse: BaseCheckpointSaver | None = None,
apply_pending_writes: bool = False,
) -> StateSnapshot:
"""Async version of `_prepare_state_snapshot`. See docstring there."""
if not saved:
return StateSnapshot(
values={},
@@ -1292,9 +1310,7 @@ class Pregel(
channels, managed = await achannels_from_checkpoint(
self.channels,
saved.checkpoint,
saver=self.checkpointer
if isinstance(self.checkpointer, BaseCheckpointSaver)
else None,
saver=saver,
config=saved.config,
)
# tasks for this checkpoint
@@ -1429,6 +1445,7 @@ class Pregel(
return self._prepare_state_snapshot(
config,
saved,
saver=checkpointer,
recurse=checkpointer if subgraphs else None,
apply_pending_writes=CONFIG_KEY_CHECKPOINT_ID not in config[CONF],
)
@@ -1473,6 +1490,7 @@ class Pregel(
return await self._aprepare_state_snapshot(
config,
saved,
saver=checkpointer,
recurse=checkpointer if subgraphs else None,
apply_pending_writes=CONFIG_KEY_CHECKPOINT_ID not in config[CONF],
)
@@ -1527,7 +1545,7 @@ class Pregel(
checkpointer.list(config, before=before, limit=limit, filter=filter)
):
yield self._prepare_state_snapshot(
checkpoint_tuple.config, checkpoint_tuple
checkpoint_tuple.config, checkpoint_tuple, saver=checkpointer
)
async def aget_state_history(
@@ -1584,7 +1602,7 @@ class Pregel(
)
]:
yield await self._aprepare_state_snapshot(
checkpoint_tuple.config, checkpoint_tuple
checkpoint_tuple.config, checkpoint_tuple, saver=checkpointer
)
def bulk_update_state(
@@ -1666,10 +1684,7 @@ class Pregel(
channels, managed = channels_from_checkpoint(
self.channels,
checkpoint,
saver=self.checkpointer
if saved is not None
and isinstance(self.checkpointer, BaseCheckpointSaver)
else None,
saver=checkpointer if saved is not None else None,
config=saved.config if saved is not None else None,
)
values, as_node = updates[0][:2]
@@ -2132,10 +2147,7 @@ class Pregel(
channels, managed = await achannels_from_checkpoint(
self.channels,
checkpoint,
saver=self.checkpointer
if saved is not None
and isinstance(self.checkpointer, BaseCheckpointSaver)
else None,
saver=checkpointer if saved is not None else None,
config=saved.config if saved is not None else None,
)
values, as_node = updates[0][:2]
-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 +1,328 @@
"""Tests for reading and updating a subgraph's `DeltaChannel` state.
Regression suite for #8470.
A subgraph is compiled without a checkpointer of its own. The parent lends it
one through `CONFIG_KEY_CHECKPOINTER` at read time. `DeltaChannel` stores no
value in `channel_values`, so hydrating it requires that saver to walk ancestors
and replay their writes. Reading with `self.checkpointer` instead of the
caller-resolved saver leaves a subgraph with none, and the channel falls through
to `from_checkpoint(MISSING)`: an empty value, indistinguishable from a channel
that was never written and raising nothing.
Coverage:
* `get_state` / `aget_state` and `get_state_history` / `aget_state_history` on a
subgraph namespace, at one and two levels of nesting
* `get_state(subgraphs=True)` task states, the surface a human-in-the-loop client
reads while a subgraph sits interrupted
* `update_state` / `aupdate_state`, which persist the hydrated value as a
snapshot blob and so turn an empty hydration into permanent data loss
* root-graph controls, which own their checkpointer and were never affected
"""
from typing import Annotated, Any
import pytest
from langgraph.checkpoint.memory import InMemorySaver
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import END, START, StateGraph
from langgraph.types import interrupt
pytestmark = pytest.mark.anyio
def _extend(state: list | None, writes: list[Any]) -> list:
"""Batching-invariant list reducer: flattens each write batch onto the state."""
out = list(state or [])
for write in writes:
out.extend(write if isinstance(write, list) else [write])
return out
def _child_builder(*, snapshot_frequency: int) -> StateGraph:
"""Two-node graph writing `["a1"]` then `["b1", "b2"]` to a `DeltaChannel`."""
class State(TypedDict, total=False):
msgs: Annotated[
list, DeltaChannel(_extend, snapshot_frequency=snapshot_frequency)
]
builder = StateGraph(State)
builder.add_node("a", lambda state: {"msgs": ["a1"]})
builder.add_node("b", lambda state: {"msgs": ["b1", "b2"]})
builder.add_edge(START, "a")
builder.add_edge("a", "b")
builder.add_edge("b", END)
return builder
def _wrap(inner: StateGraph, *, node_name: str) -> StateGraph:
"""Nest `inner` as a single node, sharing its state schema."""
builder = StateGraph(inner.state_schema)
builder.add_node(node_name, inner.compile())
builder.add_edge(START, node_name)
builder.add_edge(node_name, END)
return builder
def _build_nested_graph(
checkpointer: InMemorySaver,
*,
snapshot_frequency: int = 1000,
depth: int = 1,
) -> Any:
"""Compile a graph whose `child` node is a subgraph nested `depth` levels deep."""
graph = _child_builder(snapshot_frequency=snapshot_frequency)
for _ in range(depth):
graph = _wrap(graph, node_name="child")
return graph.compile(checkpointer=checkpointer)
def _namespaced(config: dict, namespace: str) -> dict:
return {"configurable": {**config["configurable"], "checkpoint_ns": namespace}}
def _subgraph_namespace(app: Any, config: dict, *, depth: int = 1) -> str:
"""Resolve the `child` namespace `depth` levels down, as a client would.
Each snapshot's tasks carry `{name, state: {"configurable": {"checkpoint_ns"}}}`,
and passing that namespace back is the documented way to read a subgraph's own
supersteps.
"""
namespace = ""
for level in range(depth):
scoped = _namespaced(config, namespace) if namespace else config
namespace = next(
(
task.state["configurable"]["checkpoint_ns"]
for snapshot in app.get_state_history(scoped)
for task in snapshot.tasks
if task.name == "child" and isinstance(task.state, dict)
),
"",
)
assert namespace, f"no `child` subgraph task at nesting level {level}"
return namespace
# ---------------------------------------------------------------------------
# Reading a subgraph's state
# ---------------------------------------------------------------------------
def test_subgraph_get_state_replays_delta_channel() -> None:
app = _build_nested_graph(InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
namespace = _subgraph_namespace(app, config)
assert app.get_state(config).values == {"msgs": ["a1", "b1", "b2"]}
assert app.get_state(_namespaced(config, namespace)).values == {
"msgs": ["a1", "b1", "b2"]
}
async def test_subgraph_aget_state_replays_delta_channel() -> None:
app = _build_nested_graph(InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
await app.ainvoke({}, config)
namespace = _subgraph_namespace(app, config)
assert (await app.aget_state(_namespaced(config, namespace))).values == {
"msgs": ["a1", "b1", "b2"]
}
def test_subgraph_get_state_history_replays_delta_channel() -> None:
app = _build_nested_graph(InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
namespace = _subgraph_namespace(app, config)
values = [
snapshot.values
for snapshot in app.get_state_history(_namespaced(config, namespace))
]
# newest first: after `b`, after `a`, then the two supersteps preceding any write
assert values == [
{"msgs": ["a1", "b1", "b2"]},
{"msgs": ["a1"]},
{"msgs": []},
{"msgs": []},
]
async def test_subgraph_aget_state_history_replays_delta_channel() -> None:
app = _build_nested_graph(InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
await app.ainvoke({}, config)
namespace = _subgraph_namespace(app, config)
values = [
snapshot.values
async for snapshot in app.aget_state_history(_namespaced(config, namespace))
]
assert values == [
{"msgs": ["a1", "b1", "b2"]},
{"msgs": ["a1"]},
{"msgs": []},
{"msgs": []},
]
def test_doubly_nested_subgraph_get_state_replays_delta_channel() -> None:
app = _build_nested_graph(InMemorySaver(), depth=2)
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
namespace = _subgraph_namespace(app, config, depth=2)
assert app.get_state(_namespaced(config, namespace)).values == {
"msgs": ["a1", "b1", "b2"]
}
def test_interrupted_subgraph_task_state_replays_delta_channel() -> None:
"""`get_state(subgraphs=True)` resolves task states through a separate
recursion; it reads the paused subgraph a human-in-the-loop client is shown."""
class State(TypedDict, total=False):
msgs: Annotated[list, DeltaChannel(_extend)]
def pause(state: State) -> dict:
interrupt("pause")
return {"msgs": ["b1"]}
child = StateGraph(State)
child.add_node("a", lambda state: {"msgs": ["a1", "a2"]})
child.add_node("b", pause)
child.add_edge(START, "a")
child.add_edge("a", "b")
child.add_edge("b", END)
app = _wrap(child, node_name="child").compile(checkpointer=InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
task_values = [
task.state.values
for task in app.get_state(config, subgraphs=True).tasks
if task.name == "child"
]
assert task_values == [{"msgs": ["a1", "a2"]}]
# ---------------------------------------------------------------------------
# Updating a subgraph's state
# ---------------------------------------------------------------------------
def test_subgraph_update_state_preserves_delta_channel_history() -> None:
"""`update_state` persists the hydrated channel, so an empty hydration is
written to disk rather than merely returned.
`snapshot_frequency=2` is what makes that observable: this update reaches the
cadence and forces a `_DeltaSnapshot` blob built from the hydrated value. At
the default frequency nothing is written and the loss stays latent, so the
assertion below would hold either way.
"""
app = _build_nested_graph(InMemorySaver(), snapshot_frequency=2)
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
namespace = _subgraph_namespace(app, config)
child_config = _namespaced(config, namespace)
app.update_state(child_config, {"msgs": ["manual"]})
assert app.get_state(child_config).values == {"msgs": ["a1", "b1", "b2", "manual"]}
async def test_subgraph_aupdate_state_preserves_delta_channel_history() -> None:
app = _build_nested_graph(InMemorySaver(), snapshot_frequency=2)
config = {"configurable": {"thread_id": "1"}}
await app.ainvoke({}, config)
namespace = _subgraph_namespace(app, config)
child_config = _namespaced(config, namespace)
await app.aupdate_state(child_config, {"msgs": ["manual"]})
assert (await app.aget_state(child_config)).values == {
"msgs": ["a1", "b1", "b2", "manual"]
}
# ---------------------------------------------------------------------------
# Controls: a graph owning its checkpointer resolves the same saver as before
# ---------------------------------------------------------------------------
def test_root_graph_get_state_replays_delta_channel() -> None:
app = _child_builder(snapshot_frequency=1000).compile(checkpointer=InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
assert app.get_state(config).values == {"msgs": ["a1", "b1", "b2"]}
assert [snapshot.values for snapshot in app.get_state_history(config)] == [
{"msgs": ["a1", "b1", "b2"]},
{"msgs": ["a1"]},
{"msgs": []},
{"msgs": []},
]
def test_root_graph_update_state_preserves_delta_channel_history() -> None:
app = _child_builder(snapshot_frequency=2).compile(checkpointer=InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
app.update_state(config, {"msgs": ["manual"]})
assert app.get_state(config).values == {"msgs": ["a1", "b1", "b2", "manual"]}
def test_stateless_subgraph_persists_nothing() -> None:
"""A `checkpointer=False` subgraph opts out of persistence entirely.
Its state is unavailable by design, and passing the caller's saver must not
start surfacing state for a subgraph that asked not to be checkpointed.
"""
child = _child_builder(snapshot_frequency=1000).compile(checkpointer=False)
builder = StateGraph(child.builder.state_schema)
builder.add_node("child", child)
builder.add_edge(START, "child")
builder.add_edge("child", END)
app = builder.compile(checkpointer=InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
subgraph_namespaces = [
task.state["configurable"]["checkpoint_ns"]
for snapshot in app.get_state_history(config)
for task in snapshot.tasks
if task.name == "child" and isinstance(task.state, dict)
]
assert subgraph_namespaces == []
assert app.get_state(config).values == {"msgs": ["a1", "b1", "b2"]}
def test_completed_subgraph_exposes_no_task_state() -> None:
"""`subgraphs=True` surfaces task state only while a task is pending.
Once the subgraph has finished there is no task to attach state to, for every
channel type alike. This is subgraph behaviour rather than delta replay, and
the fix leaves it untouched.
"""
app = _build_nested_graph(InMemorySaver())
config = {"configurable": {"thread_id": "1"}}
app.invoke({}, config)
assert app.get_state(config, subgraphs=True).tasks == ()
@@ -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
@@ -28,16 +28,16 @@ wheels = [
[[package]]
name = "anyio"
version = "4.14.2"
version = "4.14.1"
source = { registry = "https://pypi.org/simple" }
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[[package]]
@@ -193,7 +193,7 @@ name = "blockbuster"
version = "1.5.26"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "forbiddenfruit", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and implementation_name == 'cpython'" },
{ name = "forbiddenfruit", marker = "implementation_name == 'cpython'" },
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@@ -385,7 +385,7 @@ name = "click"
version = "8.4.2"
source = { registry = "https://pypi.org/simple" }
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{ name = "colorama", marker = "python_full_version < '3.14' and sys_platform == 'win32'" },
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@@ -528,7 +528,7 @@ name = "croniter"
version = "6.2.2"
source = { registry = "https://pypi.org/simple" }
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{ name = "python-dateutil", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
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@@ -540,7 +540,7 @@ name = "cryptography"
version = "50.0.0"
source = { registry = "https://pypi.org/simple" }
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{ name = "cffi", marker = "python_full_version >= '3.11' and python_full_version < '3.14' and platform_python_implementation != 'PyPy'" },
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@@ -643,7 +643,7 @@ name = "exceptiongroup"
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source = { registry = "https://pypi.org/simple" }
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{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
{ name = "typing-extensions" },
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@@ -697,7 +697,7 @@ name = "googleapis-common-protos"
version = "1.72.0"
source = { registry = "https://pypi.org/simple" }
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{ name = "protobuf", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
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@@ -709,7 +709,7 @@ name = "grpcio"
version = "1.80.0"
source = { registry = "https://pypi.org/simple" }
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{ name = "typing-extensions", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
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@@ -770,8 +770,8 @@ name = "grpcio-health-checking"
version = "1.80.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "grpcio", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
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@@ -783,9 +783,9 @@ name = "grpcio-tools"
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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]]
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version = "2.4.3"
version = "2.4.2"
source = { registry = "https://pypi.org/simple" }
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[[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" },
]
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[[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 = [
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name = "ruff"
version = "0.16.1"
version = "0.15.20"
source = { registry = "https://pypi.org/simple" }
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