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Author SHA1 Message Date
Quanzheng LongandCursor 24716a2f94 test(langgraph): de-flake heartbeat progress test
`_TimedAttemptScope.__init__` sets `_last_progress = time.monotonic()`, but
the watchdog doesn't actually start polling until after `wrap_config` and
task scheduling. Under heavy CI load that gap can grow large enough to
consume the entire idle window before the task body's first await runs —
the watchdog then fires immediately with `elapsed: 0.000s`, since elapsed
is measured from the post-scheduling `start` rather than from scope init.

Two test-side defenses (no production change):
- Bump idle_timeout from 0.2s to 1.0s so scheduling slack stays well within it.
- Call `runtime.heartbeat()` at task-body entry before the first sleep, which
  resets `_last_progress` to "now" the moment the task actually starts.

Confirmed stable: 10/10 local repeated runs pass.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-07 09:50:58 -07:00
Sydney Runkle 9169af196c refactor: drop CreateCheckpointResult, caller-driven snapshot decision
create_checkpoint now returns Checkpoint directly and accepts a
precomputed channels_to_snapshot set. Callers compute it via the
renamed delta_channels_to_snapshot helper and reuse it for counter
resets. Removes the NamedTuple wrapper and the .checkpoint boilerplate
at all 8 main.py call sites.
2026-05-07 12:05:53 -04:00
Quanzheng LongandCursor 506fc7eaf3 chore: remove plan file accidentally committed in previous commit
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-06 16:03:08 -07:00
Quanzheng LongandCursor 80db5a9523 rename test file to test_delta_channel_exit_mode.py
Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-06 16:02:42 -07:00
Quanzheng LongandCursor 7bf325d8a0 fix lint: narrow checkpointer types + suppress UP013 in tests
- _put_exit_delta_writes: narrow self.checkpointer / put_after_previous /
  put_writes to non-None at the top so mypy accepts submit() calls.
- test_exit_delta_persistence.py: suppress UP013 on functional TypedDict()
  uses (class form can't reference local variables in Annotated).

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-05-06 15:28:10 -07:00
Quanzheng Long 3e511592fe done 2026-05-06 15:21:03 -07:00
166 changed files with 1300 additions and 22835 deletions
@@ -1,85 +0,0 @@
name: sdk-py integration test
on:
workflow_call:
secrets:
LANGSMITH_API_KEY:
required: false
DOCKERHUB_USERNAME:
required: false
DOCKERHUB_RO_TOKEN:
required: false
permissions:
contents: read
jobs:
build:
runs-on: ubuntu-latest
name: "sdk-py integration"
defaults:
run:
working-directory: libs/sdk-py
env:
HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
steps:
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
with:
python-version: "3.13"
cache-suffix: sdk-py-integration
working-directory: libs/sdk-py
- name: Login to Docker Hub
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
- name: Install dependencies
shell: bash
run: uv sync --frozen --group test --no-dev
- name: Skip if LANGSMITH_API_KEY is not available
if: env.HAS_LANGSMITH_API_KEY != 'true'
run: |
echo "LANGSMITH_API_KEY is not set (likely a fork PR). Skipping integration tests."
exit 0
- name: Bring up integration stack
if: env.HAS_LANGSMITH_API_KEY == 'true'
working-directory: libs/sdk-py/integration
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: docker compose up -d --build
- name: Wait for API healthcheck
if: env.HAS_LANGSMITH_API_KEY == 'true'
run: |
for i in $(seq 1 60); do
if curl -sf http://localhost:2024/ok >/dev/null; then
echo "API ready after ${i}s"
exit 0
fi
sleep 2
done
echo "API failed to become healthy within 120s"
docker compose -f libs/sdk-py/integration/docker-compose.yml logs api | tail -100
exit 1
- name: Run integration suite
if: env.HAS_LANGSMITH_API_KEY == 'true'
run: uv run pytest tests/integration/ -m integration
- name: Dump api logs on failure
if: failure() && env.HAS_LANGSMITH_API_KEY == 'true'
working-directory: libs/sdk-py/integration
run: docker compose logs api | tail -200
- name: Tear down stack
if: always() && env.HAS_LANGSMITH_API_KEY == 'true'
working-directory: libs/sdk-py/integration
run: docker compose down -v
+3 -7
View File
@@ -58,18 +58,14 @@ jobs:
} >> "$GITHUB_OUTPUT"
- name: Annotation
uses: actions/github-script@v9
env:
CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
COMPARE_OUTPUT: ${{ steps.compare.outputs.OUTPUT }}
with:
script: |
const file = JSON.parse(process.env.CHANGED_FILES || "[]")[0]
core.notice(process.env.BENCHMARK_OUTPUT || "", {
const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
core.notice(`${{ steps.benchmark.outputs.OUTPUT }}`, {
title: 'Benchmark results',
file,
})
core.notice(process.env.COMPARE_OUTPUT || "", {
core.notice(`${{ steps.compare.outputs.OUTPUT }}`, {
title: 'Comparison against main',
file,
})
-11
View File
@@ -28,7 +28,6 @@ jobs:
outputs:
python: ${{ steps.filter.outputs.python || 'true' }}
deps: ${{ steps.filter.outputs.deps || 'true' }}
sdk_py: ${{ steps.filter.outputs.sdk_py || 'true' }}
steps:
- uses: actions/checkout@v6
- uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
@@ -48,8 +47,6 @@ jobs:
deps:
- '**/pyproject.toml'
- '**/uv.lock'
sdk_py:
- 'libs/sdk-py/**'
lint:
needs: changes
@@ -159,13 +156,6 @@ jobs:
uses: ./.github/workflows/_integration_test.yml
secrets: inherit
sdk-py-integration-test:
needs: changes
if: needs.changes.outputs.sdk_py == 'true'
name: "sdk-py integration test"
uses: ./.github/workflows/_sdk_integration_test.yml
secrets: inherit
ci_success:
name: "CI Success"
needs:
@@ -176,7 +166,6 @@ jobs:
check-sdk-methods,
check-schema,
integration-test,
sdk-py-integration-test,
]
if: |
always()
-3
View File
@@ -32,7 +32,6 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
# We want to keep this build stage *separate* from the release stage,
@@ -269,7 +268,6 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
@@ -311,7 +309,6 @@ jobs:
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@v8
-1
View File
@@ -63,7 +63,6 @@ The suite tests **base** capabilities (required) and **extended** capabilities (
| `delete_for_runs` | no | `adelete_for_runs` |
| `copy_thread` | no | `acopy_thread` |
| `prune` | no | `aprune` |
| `delta_channel_history` | no | `aget_delta_channel_history` |
Extended capabilities are detected by checking whether the method is overridden from `BaseCheckpointSaver`. If not overridden, those tests are skipped.
@@ -23,7 +23,6 @@ class Capability(str, Enum):
DELETE_FOR_RUNS = "delete_for_runs"
COPY_THREAD = "copy_thread"
PRUNE = "prune"
DELTA_CHANNEL_HISTORY = "delta_channel_history"
# Capabilities that every checkpointer must support.
@@ -43,7 +42,6 @@ EXTENDED_CAPABILITIES = frozenset(
Capability.DELETE_FOR_RUNS,
Capability.COPY_THREAD,
Capability.PRUNE,
Capability.DELTA_CHANNEL_HISTORY,
}
)
@@ -59,7 +57,6 @@ _CAPABILITY_METHOD_MAP: dict[Capability, str] = {
Capability.DELETE_FOR_RUNS: "adelete_for_runs",
Capability.COPY_THREAD: "acopy_thread",
Capability.PRUNE: "aprune",
Capability.DELTA_CHANNEL_HISTORY: "aget_delta_channel_history",
}
@@ -9,9 +9,6 @@ from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
from langgraph.checkpoint.conformance.spec.test_delete_thread import (
run_delete_thread_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
run_delta_channel_history_tests,
)
from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
@@ -27,5 +24,4 @@ __all__ = [
"run_delete_for_runs_tests",
"run_copy_thread_tests",
"run_prune_tests",
"run_delta_channel_history_tests",
]
@@ -1,99 +0,0 @@
"""Shared fixtures for delta-channel conformance tests.
Builds a parent chain with `_DeltaSnapshot` blobs at known positions via
direct `aput` / `aput_writes` calls. No langgraph or Pregel dependency.
"""
from __future__ import annotations
from collections.abc import Sequence
from typing import Any
from uuid import uuid4
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.conformance.test_utils import generate_metadata
async def build_delta_chain(
saver: BaseCheckpointSaver,
*,
thread_id: str | None = None,
checkpoint_ns: str = "",
channel: str = "messages",
snapshots_at_steps: Sequence[int] = (0,),
total_steps: int = 6,
write_value_fn: Any | None = None,
) -> list[RunnableConfig]:
"""Build a parent chain with `_DeltaSnapshot` at known positions.
Args:
saver: Checkpointer instance.
thread_id: Defaults to a random UUID.
checkpoint_ns: Namespace (default root).
channel: Channel name used for snapshots and writes.
snapshots_at_steps: Steps at which a `_DeltaSnapshot` blob is stored
in `channel_values[channel]`. Step 0 is the oldest checkpoint.
total_steps: Number of checkpoints in the chain.
write_value_fn: Callable(step) -> write value. Defaults to step index.
Returns:
List of stored configs (oldest first), one per step.
"""
if write_value_fn is None:
def write_value_fn(step: int) -> Any:
return step
from langgraph.checkpoint.serde.types import _DeltaSnapshot
thread_id = thread_id or str(uuid4())
snapshot_set = set(snapshots_at_steps)
stored: list[RunnableConfig] = []
parent_cfg: RunnableConfig | None = None
for step in range(total_steps):
config: RunnableConfig = {
"configurable": {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
}
}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
channel_values: dict[str, Any] = {}
channel_versions: dict[str, int] = {}
if step in snapshot_set:
channel_values[channel] = _DeltaSnapshot(
write_value_fn(step),
)
channel_versions[channel] = step + 1
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
ts="",
channel_values=channel_values,
channel_versions=channel_versions,
versions_seen={},
updated_channels=None,
)
new_versions = dict(channel_versions)
parent_cfg = await saver.aput(
config, cp, generate_metadata(step=step), new_versions
)
stored.append(parent_cfg)
# Write a pending write for non-snapshot steps so the walk has
# something to collect.
if step not in snapshot_set:
await saver.aput_writes(
parent_cfg, [(channel, write_value_fn(step))], str(uuid4())
)
return stored
@@ -1,247 +0,0 @@
"""DELTA_CHANNEL_HISTORY capability tests — aget_delta_channel_history contract."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.spec._delta_fixtures import build_delta_chain
async def test_history_returns_writes_oldest_first(
saver: BaseCheckpointSaver,
) -> None:
"""Writes are returned oldest-to-newest."""
tid = str(uuid4())
# 5 steps: snapshot at 0, writes at 1,2,3,4.
# Head is step 4. Walk starts at step 3 (parent of head).
# Collects writes from steps 1,2,3 (between snapshot at 0 and head's parent).
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=5
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert values == [1, 2, 3], f"Expected [1,2,3], got {values}"
async def test_history_seed_is_nearest_snapshot(
saver: BaseCheckpointSaver,
) -> None:
"""Seed is the value from the nearest ancestor with channel_values populated."""
tid = str(uuid4())
# 6 steps: snapshots at 0 and 3, writes at 1,2,4,5.
# Head is step 5. Walk from step 4 backward stops at step 3 (snapshot).
# Collects writes from step 4 only (between step 3 and head's parent step 4).
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="ch",
snapshots_at_steps=[0, 3],
total_steps=6,
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
assert "seed" in result["ch"], "Expected seed from snapshot at step 3"
seed = result["ch"]["seed"]
from langgraph.checkpoint.serde.types import _DeltaSnapshot
actual_value = seed.value if isinstance(seed, _DeltaSnapshot) else seed
assert actual_value == 3, f"Expected seed value 3 (step 3), got {actual_value}"
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert values == [4], f"Expected [4], got {values}"
async def test_history_excludes_target_pending_writes(
saver: BaseCheckpointSaver,
) -> None:
"""Target's own pending_writes are NOT included in the history."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=3
)
head = configs[-1]
# Add writes directly to the head checkpoint
await saver.aput_writes(head, [("ch", "extra")], str(uuid4()))
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert "extra" not in values, f"Target's writes should be excluded, got {values}"
async def test_history_multi_channel(
saver: BaseCheckpointSaver,
) -> None:
"""Multiple channels have independent walk termination."""
tid = str(uuid4())
configs: list = []
parent_cfg = None
from langgraph.checkpoint.base import Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from langgraph.checkpoint.conformance.test_utils import generate_metadata
for step in range(5):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cv: dict = {}
cvs: dict = {}
if step == 1:
cv["a"] = _DeltaSnapshot("snap_a")
cvs["a"] = step + 1
if step == 3:
cv["b"] = _DeltaSnapshot("snap_b")
cvs["b"] = step + 1
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
ts="",
channel_values=cv,
channel_versions=cvs,
versions_seen={},
updated_channels=None,
)
parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
configs.append(parent_cfg)
await saver.aput_writes(parent_cfg, [("a", step), ("b", step)], str(uuid4()))
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["a", "b"])
a_writes = [w[2] for w in result["a"]["writes"]]
b_writes = [w[2] for w in result["b"]["writes"]]
assert a_writes == [1, 2, 3], f"Expected a writes [1,2,3], got {a_writes}"
assert b_writes == [3], f"Expected b writes [3], got {b_writes}"
async def test_history_empty_channels_returns_empty(
saver: BaseCheckpointSaver,
) -> None:
"""Empty channels list returns empty mapping."""
tid = str(uuid4())
configs = await build_delta_chain(
saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=3
)
result = await saver.aget_delta_channel_history(config=configs[-1], channels=[])
assert result == {}
async def test_history_walk_to_root_no_seed(
saver: BaseCheckpointSaver,
) -> None:
"""Walk reaches root without finding seed — no 'seed' key in result."""
tid = str(uuid4())
configs = await build_delta_chain(
saver,
thread_id=tid,
channel="ch",
snapshots_at_steps=[],
total_steps=4,
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
assert "seed" not in result["ch"], f"Expected no seed, got {result['ch']}"
async def test_history_migration_plain_value_as_seed(
saver: BaseCheckpointSaver,
) -> None:
"""Pre-delta plain value in channel_values acts as seed (migration case).
When a thread was originally using a regular channel (BinaryOperatorAggregate)
and later switches to DeltaChannel, the old checkpoint has a plain value in
channel_values[ch] (not a _DeltaSnapshot). The walk should treat it as the
seed and terminate there.
"""
from langgraph.checkpoint.base import Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.conformance.test_utils import generate_metadata
tid = str(uuid4())
configs: list = []
parent_cfg = None
for step in range(4):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cv: dict = {}
cvs: dict = {}
# Step 1: plain value (migration case — old checkpoint before delta)
if step == 1:
cv["ch"] = [10, 20, 30]
cvs["ch"] = step + 1
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
ts="",
channel_values=cv,
channel_versions=cvs,
versions_seen={},
updated_channels=None,
)
parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
configs.append(parent_cfg)
if step != 1:
await saver.aput_writes(parent_cfg, [("ch", step)], str(uuid4()))
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
# Seed should be the plain value from step 1
assert "seed" in result["ch"], "Expected seed from migration plain value at step 1"
seed = result["ch"]["seed"]
assert seed == [10, 20, 30], f"Expected plain value [10,20,30], got {seed}"
# Writes should be from step 2 only (between seed at step 1 and head's parent step 2)
writes = result["ch"]["writes"]
values = [w[2] for w in writes]
assert values == [2], f"Expected [2], got {values}"
ALL_DELTA_CHANNEL_HISTORY_TESTS = [
test_history_returns_writes_oldest_first,
test_history_seed_is_nearest_snapshot,
test_history_excludes_target_pending_writes,
test_history_multi_channel,
test_history_empty_channels_returns_empty,
test_history_walk_to_root_no_seed,
test_history_migration_plain_value_as_seed,
]
async def run_delta_channel_history_tests(
saver: BaseCheckpointSaver,
on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
) -> tuple[int, int, list[str]]:
"""Run all delta_channel_history tests. Returns (passed, failed, failure_names)."""
passed = 0
failed = 0
failures: list[str] = []
for test_fn in ALL_DELTA_CHANNEL_HISTORY_TESTS:
try:
await test_fn(saver)
passed += 1
if on_test_result:
on_test_result("delta_channel_history", test_fn.__name__, True, None)
except Exception:
failed += 1
msg = f"{test_fn.__name__}: {traceback.format_exc()}"
failures.append(msg)
if on_test_result:
on_test_result(
"delta_channel_history",
test_fn.__name__,
False,
traceback.format_exc(),
)
return passed, failed, failures
@@ -19,9 +19,6 @@ from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
from langgraph.checkpoint.conformance.spec.test_delete_thread import (
run_delete_thread_tests,
)
from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
run_delta_channel_history_tests,
)
from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
@@ -38,7 +35,6 @@ _RUNNERS = {
Capability.DELETE_FOR_RUNS: run_delete_for_runs_tests,
Capability.COPY_THREAD: run_copy_thread_tests,
Capability.PRUNE: run_prune_tests,
Capability.DELTA_CHANNEL_HISTORY: run_delta_channel_history_tests,
}
@@ -43,11 +43,7 @@ asyncio_mode = "auto"
# The extended methods (acopy_thread, adelete_for_runs, aprune) are checked
# at runtime via capability detection and may not exist on the installed
# base class. Dict literal inference is also overly strict for RunnableConfig.
# Delta-channel tests import from `langgraph` (not a declared dep of this
# package — at test time it is installed alongside); private `_DeltaSnapshot`
# imports are intentional (beta surface).
unresolved-attribute = "ignore"
unresolved-import = "ignore"
invalid-argument-type = "ignore"
invalid-return-type = "ignore"
@@ -62,9 +58,6 @@ lint.select = [
lint.ignore = ["E501", "B008"]
target-version = "py310"
[tool.uv.sources]
langgraph-checkpoint = {path = "../checkpoint", editable = true}
[[tool.uv.index]]
name = "testpypi"
url = "https://test.pypi.org/simple/"
+504 -605
View File
File diff suppressed because it is too large Load Diff
@@ -279,8 +279,8 @@ def _build_delta_stage2_sql(
)
for _ in channels_with_seed:
branches.append(
"SELECT 'b'::text AS _kind, NULL::text AS checkpoint_id, channel, "
"type, blob, NULL::text AS task_id, NULL::int AS idx, version "
"SELECT 'b'::text, NULL, channel, "
"type, blob, NULL, NULL, version "
"FROM checkpoint_blobs "
"WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
"AND version = %s"
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.1.0"
version = "3.1.0a4"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"orjson>=3.11.5",
"psycopg>=3.2.0",
"psycopg-pool>=3.2.0",
+14 -14
View File
@@ -205,11 +205,11 @@ wheels = [
[[package]]
name = "idna"
version = "3.15"
version = "3.11"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/82/77/7b3966d0b9d1d31a36ddf1746926a11dface89a83409bf1483f0237aa758/idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc", size = 199245, upload-time = "2026-05-12T22:45:57.011Z" }
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version = "4.1.1"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -324,7 +324,7 @@ test = [
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version = "3.1.0a4"
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{ name = "langgraph-checkpoint" },
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+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
description = "Library with a SQLite implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"aiosqlite>=0.20",
"sqlite-vec>=0.1.6",
]
@@ -1,35 +0,0 @@
"""Run delta-channel conformance capabilities against AsyncSqliteSaver."""
from __future__ import annotations
import pytest
pytest.importorskip(
"langgraph.checkpoint.conformance",
reason="langgraph-checkpoint-conformance not installed",
)
pytest.importorskip("aiosqlite", reason="aiosqlite not installed")
@pytest.mark.asyncio
async def test_delta_channel_conformance():
from langgraph.checkpoint.conformance import validate
from langgraph.checkpoint.conformance.initializer import checkpointer_test
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
@checkpointer_test(name="AsyncSqliteSaver")
async def sqlite_saver():
async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
yield saver
report = await validate(
sqlite_saver,
capabilities={
"delta_channel_history",
},
)
for cap, result in report.results.items():
if result.passed is False:
details = "\n".join(result.failures or [])
pytest.fail(f"Capability {cap} failed:\n{details}")
+14 -27
View File
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version = "4.1.1"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
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@@ -333,7 +320,7 @@ test = [
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@@ -60,29 +60,15 @@ class CheckpointMetadata(TypedDict, total=False):
"""
run_id: str
"""The ID of the run that created this checkpoint."""
counters_since_delta_snapshot: dict[str, tuple[int, int]]
"""Per-channel counters since the last `_DeltaSnapshot` was written.
delta_updates_since_snapshot: dict[str, int]
"""Per-channel update count since the last `_DeltaSnapshot` was written.
!!! warning "Beta"
This metadata field backs `DeltaChannel` (beta). The key name and
contents may change while the delta-channel design stabilizes.
Maps channel name -> `(updates, supersteps)`:
- index 0 (`updates`): number of supersteps that wrote to this channel
since its last snapshot blob.
- index 1 (`supersteps`): total supersteps elapsed since this channel's
last snapshot, regardless of whether the channel was written.
A snapshot fires when EITHER `updates >= ch.snapshot_frequency` OR
`supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` (system-wide bound,
default 5000, env `LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`).
The supersteps bound prevents unbounded ancestor walks on threads where
a delta channel exists but is no longer being updated.
Absent on threads that don't use delta channels. Persisted as a
2-element list in JSON (no native tuple).
Maps channel name → number of supersteps that wrote to this channel
since its last snapshot blob. Used by `pregel.create_checkpoint` to
decide when to write the next snapshot (when the count reaches the
channel's `snapshot_frequency`, snapshot fires and the count resets
to 0). Absent on threads that don't use delta channels. Version-format
independent — works for int, float, and string version schemes.
"""
@@ -149,11 +135,6 @@ class CheckpointTuple(NamedTuple):
class DeltaChannelHistory(TypedDict):
"""Per-channel result entry from `BaseCheckpointSaver.get_delta_channel_history`.
!!! warning "Beta"
Part of the `DeltaChannel` support surface; in beta. Field names and
semantics may change.
Storage-level view of what one channel contributed across the ancestor
chain of a target checkpoint:
@@ -336,14 +317,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
run_ids: The run IDs whose checkpoints should be deleted.
!!! warning "DeltaChannel"
Deleting a run that produced ancestor `checkpoint_writes` — or
the only `_DeltaSnapshot` blob — for a still-live thread will
break reconstruction of any `DeltaChannel` whose history
depended on those rows. See the `DeltaChannel` note on `prune`
for safe-recovery strategies.
"""
raise NotImplementedError
@@ -357,17 +330,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
source_thread_id: The thread ID to copy from.
target_thread_id: The thread ID to copy to.
!!! warning "DeltaChannel"
Implementations must copy the **complete** parent chain (all
ancestor checkpoints and their `checkpoint_writes`) — copying
only the head checkpoint will leave the target thread with
`DeltaChannel` state that cannot be reconstructed (no path back
to a `_DeltaSnapshot` ancestor). Equivalently, the copy must
include enough ancestors that every `DeltaChannel`-backed key
has either a `_DeltaSnapshot` in `channel_values` somewhere in
the chain, or a complete write history back to the chain root.
"""
raise NotImplementedError
@@ -383,34 +345,6 @@ class BaseCheckpointSaver(Generic[V]):
thread_ids: The thread IDs to prune.
strategy: The pruning strategy. `"keep_latest"` retains only the most
recent checkpoint per namespace. `"delete"` removes all checkpoints.
!!! warning "DeltaChannel"
Custom implementations must be `DeltaChannel`-aware. `DeltaChannel`
stores only a sentinel in `channel_values` for non-snapshot steps;
reconstruction walks the parent chain via
`get_delta_channel_history`, accumulating rows from
`checkpoint_writes` until it reaches an ancestor whose
`channel_values` contains a `_DeltaSnapshot` blob (written every
`snapshot_frequency` updates).
A naive `"keep_latest"` that drops intermediate checkpoints and
their writes can sever that chain: the surviving "latest"
checkpoint is rarely a snapshot point itself, so its delta
channels would silently reconstruct as empty (no error raised —
`get_delta_channel_history` simply returns no `seed`). Safe
options when the graph uses `DeltaChannel`:
* Walk back from each kept checkpoint and preserve every
ancestor (plus its `checkpoint_writes`) up to the nearest one
whose `channel_values` already contains a `_DeltaSnapshot` for
every `DeltaChannel`-backed key.
* Force a fresh snapshot on the kept checkpoint before deleting
ancestors — rewrite `channel_values[k] = _DeltaSnapshot(value)`
for each delta channel `k` (resolving `value` via the existing
ancestor walk first), then prune.
* Skip pruning threads whose graph uses `DeltaChannel` until one
of the above is implemented.
"""
raise NotImplementedError
@@ -527,13 +461,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
run_ids: The run IDs whose checkpoints should be deleted.
!!! warning "DeltaChannel"
See `delete_for_runs` — deleting rows a still-live thread's
`DeltaChannel` reconstruction depends on (writes between the
head and its nearest `_DeltaSnapshot` ancestor) will silently
corrupt that channel's state.
"""
raise NotImplementedError
@@ -547,13 +474,6 @@ class BaseCheckpointSaver(Generic[V]):
Args:
source_thread_id: The thread ID to copy from.
target_thread_id: The thread ID to copy to.
!!! warning "DeltaChannel"
See `copy_thread` — the copy must carry the complete parent
chain (or at least back to a `_DeltaSnapshot` ancestor for every
`DeltaChannel`) so the target thread can reconstruct delta
state.
"""
raise NotImplementedError
@@ -569,13 +489,6 @@ class BaseCheckpointSaver(Generic[V]):
thread_ids: The thread IDs to prune.
strategy: The pruning strategy. `"keep_latest"` retains only the most
recent checkpoint per namespace. `"delete"` removes all checkpoints.
!!! warning "DeltaChannel"
See `prune` for the full `DeltaChannel` caveat. In short:
`"keep_latest"` must not drop ancestor checkpoints / writes that
sit between the kept checkpoint and the nearest `_DeltaSnapshot`
ancestor, or delta channels will silently reconstruct as empty.
"""
raise NotImplementedError
@@ -584,14 +497,6 @@ class BaseCheckpointSaver(Generic[V]):
) -> Mapping[str, DeltaChannelHistory]:
"""Walk the parent chain returning per-channel writes + seed.
!!! warning "Beta"
This method is part of the `DeltaChannel` support surface and is
in beta. The signature, return shape (`DeltaChannelHistory`), and
interaction with `_DeltaSnapshot` blobs may change. Override at
your own risk; the default implementation will continue to work
against the public `BaseCheckpointSaver` contract.
For each requested channel, walks ancestors of the checkpoint
identified by `config` (following `parent_config`) and accumulates
`pending_writes` for that channel. The walk terminates per-channel
@@ -651,13 +556,7 @@ class BaseCheckpointSaver(Generic[V]):
async def aget_delta_channel_history(
self, *, config: RunnableConfig, channels: Sequence[str]
) -> Mapping[str, DeltaChannelHistory]:
"""Async version of `get_delta_channel_history`.
!!! warning "Beta"
This method is part of the `DeltaChannel` support surface and is
in beta. See `get_delta_channel_history` for caveats.
"""
"""Async version of `get_delta_channel_history`."""
if not channels:
return {}
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
@@ -44,7 +44,7 @@ if TYPE_CHECKING:
AllowedMsgpackModules,
)
LC_REVIVER = Reviver(allowed_objects="core")
LC_REVIVER = Reviver()
EMPTY_BYTES = b""
logger = logging.getLogger(__name__)
@@ -157,6 +157,27 @@ class JsonPlusSerializer(SerializerProtocol):
)
return clone
def _encode_constructor_args(
self,
constructor: Callable | type[Any],
*,
method: None | str | Sequence[None | str] = None,
args: Sequence[Any] | None = None,
kwargs: dict[str, Any] | None = None,
) -> dict[str, Any]:
out = {
"lc": 2,
"type": "constructor",
"id": (*constructor.__module__.split("."), constructor.__name__),
}
if method is not None:
out["method"] = method
if args is not None:
out["args"] = args
if kwargs is not None:
out["kwargs"] = kwargs
return out
def _reviver(self, value: dict[str, Any]) -> Any:
if (
value.get("lc", None) == 2
@@ -182,46 +203,45 @@ class JsonPlusSerializer(SerializerProtocol):
self._check_allowed_json_modules(value)
[*module, name] = value["id"]
# The `method` field on lc:2 envelopes is intentionally ignored.
# Revival is restricted to the default constructor (no `getattr`
# dispatch on attacker-influenced names). The framework's own
# encoder has not emitted `method=` since the msgpack migration,
# and the only legacy emission was `method=(None, "construct")`
# for pydantic models, where the first entry (`None`) already
# meant "default constructor", which is what we do here.
try:
mod = importlib.import_module(".".join(module))
cls = getattr(mod, name)
if isclass(cls) and issubclass(cls, BaseException):
return None
method = value.get("method")
if isinstance(method, str):
methods = [getattr(cls, method)]
elif isinstance(method, list):
methods = [cls if m is None else getattr(cls, m) for m in method]
else:
methods = [cls]
args = value.get("args")
kwargs = value.get("kwargs")
if args and kwargs:
return cls(*args, **kwargs)
elif args:
return cls(*args)
elif kwargs:
return cls(**kwargs)
else:
return cls()
except Exception as exc:
# Method-field dispatch has been removed (GHSA-fjqc-hq36-qh5p), so
# legacy pydantic payloads emitting `method=[None, "construct"]`
# no longer fall back to `cls.construct(**kwargs)` when the
# default constructor rejects the serialized kwargs. Surface a
# one-line warning so operators can spot payloads that now revive
# to `None` instead of silently degrading to the raw envelope.
logger.warning(
"Failed to revive lc:2 envelope %s "
"(legacy_method_field=%s, error=%s); returning None",
".".join((*module, name)),
"method" in value,
type(exc).__name__,
)
for method in methods:
try:
if isclass(method) and issubclass(method, BaseException):
return None
if args and kwargs:
return method(*args, **kwargs)
elif args:
return method(*args)
elif kwargs:
return method(**kwargs)
else:
return method()
except Exception:
continue
except Exception:
return None
def _check_allowed_json_modules(self, value: dict[str, Any]) -> None:
needed = tuple(value["id"])
method = value.get("method")
if isinstance(method, list):
method_display = ",".join(m or "<init>" for m in method)
elif isinstance(method, str):
method_display = method
else:
method_display = "<init>"
dotted = ".".join(needed)
# Safe types (the same set already allowed for msgpack deserialization) are
# permitted without an explicit allowlist — they are known-safe LangGraph and
@@ -232,7 +252,7 @@ class JsonPlusSerializer(SerializerProtocol):
if not self._allowed_json_modules:
raise InvalidModuleError(
f"Refused to deserialize JSON constructor: {dotted}. "
f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
"No allowed_json_modules configured.\n\n"
"Unblock with ONE of:\n"
f" • JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"
@@ -247,7 +267,7 @@ class JsonPlusSerializer(SerializerProtocol):
return
raise InvalidModuleError(
f"Refused to deserialize JSON constructor: {dotted}. "
f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
"Symbol is not in the deserialization allowlist.\n\n"
"Add exactly this symbol to unblock:\n"
f" JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.1.1"
version = "4.1.0a4"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
@@ -1,33 +0,0 @@
"""Run delta-channel conformance capabilities against InMemorySaver."""
from __future__ import annotations
import pytest
conformance = pytest.importorskip(
"langgraph.checkpoint.conformance",
reason="langgraph-checkpoint-conformance not installed",
)
@pytest.mark.asyncio
async def test_delta_channel_conformance():
from langgraph.checkpoint.conformance import validate
from langgraph.checkpoint.conformance.initializer import checkpointer_test
from langgraph.checkpoint.memory import InMemorySaver
@checkpointer_test(name="InMemorySaver")
async def mem_saver():
yield InMemorySaver()
report = await validate(
mem_saver,
capabilities={
"delta_channel_history",
},
)
for cap, result in report.results.items():
if result.passed is False:
details = "\n".join(result.failures or [])
pytest.fail(f"Capability {cap} failed:\n{details}")
-187
View File
@@ -398,193 +398,6 @@ def test_deserde_invalid_module() -> None:
serde.loads_typed(("json", json.dumps(load).encode("utf-8")))
def test_lc2_json_method_field_is_ignored() -> None:
"""The `method` field on lc=2 envelopes is ignored.
Regression test for GHSA-fjqc-hq36-qh5p: `_revive_lc2` previously resolved
`getattr(cls, method)` from the envelope, which let an attacker pivot a
safe pydantic class (e.g., AIMessage) to `parse_raw(..., allow_pickle=True)`
and reach `pickle.loads`. Revival now uses only the default constructor.
Verifies that an envelope carrying ``method="parse_raw"`` does not dispatch
to that method: the result is whatever ``AIMessage(*args, **kwargs)`` would
produce, which proves the default constructor ran instead of ``parse_raw``.
"""
from langchain_core.messages import AIMessage
serde = JsonPlusSerializer()
load = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
"method": "parse_raw",
"args": ["default-ctor-ran"],
"kwargs": {"content_type": "application/pickle", "allow_pickle": True},
}
result = serde._revive_lc2(load)
# Default constructor accepts `content` as first positional arg. If parse_raw
# had been invoked instead, it would have attempted JSON/pickle parsing and
# raised (or executed the pickle gadget); neither would produce this result.
assert isinstance(result, AIMessage)
assert result.content == "default-ctor-ran"
def test_lc2_json_method_field_is_ignored_for_allowlisted_types() -> None:
"""The `method` field is ignored even when the class is explicitly allowlisted.
A user who configures ``allowed_json_modules`` for a class no longer gets
method dispatch as a side effect. Revival is restricted to the default
constructor regardless of how the class reached the revival path.
"""
from langchain_core.messages import AIMessage
serde = JsonPlusSerializer(
allowed_json_modules=[("langchain_core.messages.ai", "AIMessage")]
)
load = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
"method": "parse_raw",
"args": ["default-ctor-ran"],
}
result = serde._revive_lc2(load)
assert isinstance(result, AIMessage)
assert result.content == "default-ctor-ran"
def test_lc2_json_safe_type_init_still_works() -> None:
"""SAFE-type lc=2 revival without a `method` field still constructs the class."""
from langchain_core.messages import AIMessage
serde = JsonPlusSerializer()
load = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
"kwargs": {"content": "hi", "type": "ai"},
}
result = serde._revive_lc2(load)
assert isinstance(result, AIMessage)
assert result.content == "hi"
def test_lc2_json_legacy_pydantic_method_list_falls_back_to_default() -> None:
"""Legacy ``method=(None, "construct")`` envelopes still revive via the default ctor.
Pre-October-2025 langgraph emitted pydantic models with
``method=(None, "construct")`` meaning "try default constructor, fall back
to pydantic ``construct``". The first entry (``None``) was always the
default constructor, which is what we now do unconditionally. Envelopes of
this shape continue to revive correctly as long as the default constructor
accepts the serialized kwargs.
"""
from langchain_core.messages import AIMessage
serde = JsonPlusSerializer()
load = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
"method": [None, "construct"],
"kwargs": {"content": "legacy", "type": "ai"},
}
result = serde._revive_lc2(load)
assert isinstance(result, AIMessage)
assert result.content == "legacy"
def test_lc2_json_legacy_construct_payload_logs_warning_when_default_init_rejects(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Legacy `method=[None, "construct"]` envelopes whose kwargs the default
`__init__` rejects now revive to `None` and emit an observable warning.
Pre-October-2025 langgraph emitted pydantic payloads with
`method=[None, "construct"]` so the reviver could fall back to
`cls.construct(**kwargs)` when the default constructor raised a
validation error. That fallback was removed with method-field dispatch
(GHSA-fjqc-hq36-qh5p), so these payloads now silently fail validation. A
`logger.warning` makes the regression observable to operators instead of
letting the envelope quietly degrade to its raw-dict form.
"""
serde = JsonPlusSerializer()
load = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
# Legacy two-entry method tuple: try default ctor, fall back to construct.
"method": [None, "construct"],
# ``type="not-a-real-message-type"`` fails AIMessage's Literal["ai"]
# validator under the default constructor. Before the GHSA patch this
# would have fallen back to ``cls.construct(**kwargs)``; now it must
# return None and log.
"kwargs": {"content": "legacy", "type": "not-a-real-message-type"},
}
with caplog.at_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus"):
result = serde._revive_lc2(load)
assert result is None, (
"Legacy method=[None, 'construct'] payloads with kwargs the default "
"ctor rejects must now return None (no construct() fallback)."
)
matching = [
r
for r in caplog.records
if r.name == "langgraph.checkpoint.serde.jsonplus"
and r.levelno == logging.WARNING
and "langchain_core.messages.ai.AIMessage" in r.getMessage()
and "legacy_method_field=True" in r.getMessage()
]
assert matching, (
"Expected a WARNING from langgraph.checkpoint.serde.jsonplus "
"referencing the class id and legacy_method_field=True; "
f"got records: {[(r.name, r.levelname, r.getMessage()) for r in caplog.records]}"
)
def test_lc2_json_safe_type_pickle_payload_does_not_execute() -> None:
"""End-to-end: a `parse_raw` pickle gadget payload on a SAFE type must not run.
With method dispatch removed from `_revive_lc2`, the gadget bytes are never
passed to `parse_raw` and therefore never reach `pickle.loads`.
"""
import os
import pickle
import tempfile
marker = tempfile.NamedTemporaryFile(
prefix="lc2_block_proof_", suffix=".out", delete=False
).name
os.remove(marker) # ensure absent before the test runs
class _Gadget:
def __reduce__(self) -> tuple:
return (os.system, (f"touch {marker}",))
gadget_bytes = pickle.dumps(_Gadget(), protocol=0).decode("latin1")
envelope = {
"lc": 2,
"type": "constructor",
"id": ["langchain_core", "messages", "ai", "AIMessage"],
"method": "parse_raw",
"args": [gadget_bytes],
"kwargs": {"content_type": "application/pickle", "allow_pickle": True},
}
serde = JsonPlusSerializer()
try:
serde.loads_typed(("json", json.dumps(envelope).encode()))
except Exception:
pass
assert not os.path.exists(marker), (
"Pickle gadget executed via parse_raw on AIMessage lc=2 envelope"
)
def test_serde_jsonplus_bytearray() -> None:
serde = JsonPlusSerializer()
+13 -13
View File
@@ -229,11 +229,11 @@ wheels = [
[[package]]
name = "idna"
version = "3.15"
version = "3.11"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/82/77/7b3966d0b9d1d31a36ddf1746926a11dface89a83409bf1483f0237aa758/idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc", size = 199245, upload-time = "2026-05-12T22:45:57.011Z" }
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]
[[package]]
@@ -268,7 +268,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -281,9 +281,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
sdist = { url = "https://files.pythonhosted.org/packages/a8/03/7219502e8ca728d65eb44d7a3eb60239230742a70dbfc9241b9bfd61c4ab/langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7", size = 911813, upload-time = "2026-04-24T15:49:23.699Z" }
wheels = [
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[[package]]
@@ -300,7 +300,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.1"
version = "4.1.0a4"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -383,7 +383,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -396,9 +396,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
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[[package]]
@@ -1463,11 +1463,11 @@ wheels = [
[[package]]
name = "urllib3"
version = "2.7.0"
version = "2.6.3"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
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[[package]]
+5 -4
View File
@@ -3675,11 +3675,12 @@ keyv@^4.5.4:
json-buffer "3.0.1"
"langsmith@>=0.5.0 <1.0.0":
version "0.6.3"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.6.3.tgz#a3d8ad58d66a47d3697e3c69b2be3f6df5233190"
integrity sha512-pXrQ4/4myQvjFFOAUmt5pWRrLEZR20gzIJD7MNdUH+5/S5nLI4ZRBo/SYKC6coaYj9pYTfQdBIzcs+3kfJ5uDA==
version "0.5.20"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
leven@^3.1.0:
version "3.1.0"
@@ -4847,7 +4848,7 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@^10.0.0:
uuid@10.0.0, uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+1 -1
View File
@@ -17,7 +17,7 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
"devDependencies": {
"turbo": "^2.9.14",
"turbo": "^2.9.7",
"typescript": "^5.9.3",
"@tsconfig/recommended": "^1.0.13",
"@eslint/eslintrc": "^3.3.5",
+39 -38
View File
@@ -166,35 +166,35 @@
resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==
"@turbo/darwin-64@2.9.14":
version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.14.tgz#b9ec6ac637b9c5fdba5dae9d743f5d121f091242"
integrity sha512-t7QiPflaEyBE4oayeZtSmu4mEfjgIrcNlNNl1z1dmIVPqEdtA7+CfTf8d7KXsOGPh6aNgWjKxyvQg9uGfDQF+A==
"@turbo/darwin-64@2.9.7":
version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.7.tgz#46fddae01ea7817192dc6ff36a678cc3879b753b"
integrity sha512-wnvOWuVWJ5EUHNKxExEWiGlTeVpLG1L0PCu5MUozyC1P2SHGiWsmpW6/yAuShH91Fa2TAHOvdCRBzriZh4j4Eg==
"@turbo/darwin-arm64@2.9.14":
version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.14.tgz#99d19f3e59842c595d2828c72a2e4ef537408f38"
integrity sha512-d23147mC9BsCPA9mJ0h/ubcpbRgcJBXbcG3+Vq7YLhjz3IXuvQsJ1UXH8f4MD76ZjJ4m/E4aRdJV+MW88CDfbw==
"@turbo/darwin-arm64@2.9.7":
version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.7.tgz#cd7cf3a024509af0f59ae3885216d62fd090fdb6"
integrity sha512-mA0FIPMwwN3lodDkQYaGxj6PeT7ZaN5aCEbkKn/WB+ZB9yJdVWA4J83GH7t43jqDc5dcnVluVN5UFx3plRiXhA==
"@turbo/linux-64@2.9.14":
version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.14.tgz#9c907434f091cd75529f5496516f79b71935d2bb"
integrity sha512-P3ZKB5tuUDdDQWuAsACGUR1qv9W7BNWxdxqVJ0kZNuNNPRaVYTPPikLcp79+GiEcW3npsR+KyP38lnQiBc5aSA==
"@turbo/linux-64@2.9.7":
version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.7.tgz#25ee9a2cb3042498a3203e14653b14041105020f"
integrity sha512-fEbUYpgb5l7P+q+5tsWF2gw+/GSjUsuUTcnfm+f0lozUjgcjLKyOat6PgtAChmIFcTPchCL/8rJ3TvkBy01gfA==
"@turbo/linux-arm64@2.9.14":
version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.14.tgz#79ae9060e6ee9e0fb784ae0747e980f582e75313"
integrity sha512-ZRTlzcUMrrPv9ZuDzRF9n60Ym13bKeG9jDB8WjxyLhWNzV+AJQN+zdpIk3NJYf2zQsGUm1mNar2P0elRzLw25g==
"@turbo/linux-arm64@2.9.7":
version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.7.tgz#5b19d6249a50cb8153b8f2bc22ad10bbda614fbe"
integrity sha512-VkUjulo9ytfHKUHOS5gy0XPoh4CTKPXWCL8nLdrlHVi9fSut31ECeUqnm/dAbETP5D4xo9mH9XkJ+qMzGe/zmg==
"@turbo/windows-64@2.9.14":
version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.14.tgz#68a80f299f35189314184c88301caad982d1c0c2"
integrity sha512-exanwN6sIduZwykYeiTQj8kCmOhazP5WOz3bvXMcYtjhL6Z3iRWLewKrXCBq0bqwSP3iBMb/AerRCnHI4lx46A==
"@turbo/windows-64@2.9.7":
version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.7.tgz#900645776fa44ff8333e801d890992736f6dbc72"
integrity sha512-/GWdY6/x4aIHqkYJq596Rpdk1x0MkpRPkJcLAoB3yGRwyUms0+u2F1GnV54IbyAZTeKLRWSJKzNC+QwVGdYchA==
"@turbo/windows-arm64@2.9.14":
version "2.9.14"
resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.14.tgz#4dc16684f0ddce53fafe56ad8f55205c4473d17a"
integrity sha512-fVdCsnmYoKICsycbWuuGp6Jvi51/3G/UluFWuAUCvR8PIW5IJkAk5BM9UF8PSm0Q2IphWHFZjYEgjHsh3B9y/g==
"@turbo/windows-arm64@2.9.7":
version "2.9.7"
resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.7.tgz#e678d73fdbcbb12a679403fe7ba070fb67f37810"
integrity sha512-xBBgxCC5PK2+WZ1PPRZdp+aJ0bMBcEbweXWux3RUHJvX9ZodcoQySkrW6qt+ahb+uk8ZjyQodLfDwtVSoYds1w==
"@types/esrecurse@^4.3.1":
version "4.3.1"
@@ -1327,11 +1327,12 @@ keyv@^4.5.4:
json-buffer "3.0.1"
"langsmith@>=0.5.0 <1.0.0":
version "0.7.1"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.7.1.tgz#d721ad2e5211f9a5373e8a84eb4fed36b5621971"
integrity sha512-Wjk90UjNoY5cBHMlNAC/eZx5clI8jnjBOBW8uJu8+MWBtx0QesNjsUiLtjI+I3UnrpxFFpDqGXcnhBjH654Mqg==
version "0.5.20"
resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
dependencies:
p-queue "6.6.2"
uuid "10.0.0"
levn@^0.4.1:
version "0.4.1"
@@ -1813,17 +1814,17 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo@^2.9.14:
version "2.9.14"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.14.tgz#d412fcc4c9bd8dba29cec5bbd54d5a74ab2b1bee"
integrity sha512-BQqXRr4UoWI3UPFrtznCLykYHxwxWh53iCB57x092jPMjIlW1wnm3N895g5irpiXmnxUhREBB0n6+y8BHhs4nw==
turbo@^2.9.7:
version "2.9.7"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.7.tgz#da6d5a821f0bde5174e1a55af6690dad5c2fb004"
integrity sha512-epxzqVO2s0IxcSWcgb+qKrtco8isfe7g3VtiS6hkYnEK4A9XQDZbrtavQ6MtWR1KoQn+1fUomaQth2rfRHlUlg==
optionalDependencies:
"@turbo/darwin-64" "2.9.14"
"@turbo/darwin-arm64" "2.9.14"
"@turbo/linux-64" "2.9.14"
"@turbo/linux-arm64" "2.9.14"
"@turbo/windows-64" "2.9.14"
"@turbo/windows-arm64" "2.9.14"
"@turbo/darwin-64" "2.9.7"
"@turbo/darwin-arm64" "2.9.7"
"@turbo/linux-64" "2.9.7"
"@turbo/linux-arm64" "2.9.7"
"@turbo/windows-64" "2.9.7"
"@turbo/windows-arm64" "2.9.7"
type-check@^0.4.0, type-check@~0.4.0:
version "0.4.0"
@@ -1899,7 +1900,7 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@^10.0.0:
uuid@10.0.0, uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.26"
__version__ = "0.4.24"
+6 -44
View File
@@ -35,12 +35,6 @@ DISALLOWED_BUILD_COMMAND_CHARS = [
# This blocks background execution (cmd &) while allowing command
# chaining (cmd1 && cmd2) which is common in build commands.
_SINGLE_AMPERSAND_RE = re.compile(r"(?<!&)&(?:&&)*(?!&)")
_API_VERSION_PATTERN = re.compile(
r"^(?P<major>\d+)"
r"(?:\.(?P<minor>\d+))?"
r"(?:\.(?P<patch>\d+))?"
r"(?:(?:\.|)(?:[A-Za-z][0-9A-Za-z]*))?$"
)
def has_disallowed_build_command_content(command: str) -> bool:
@@ -66,34 +60,14 @@ def _get_pip_cleanup_lines(
to_uninstall: tuple[str] | None,
pip_installer: Literal["uv", "pip"],
) -> str:
commands = ["# -- Validate installed dependencies are internally consistent --"]
if pip_installer == "uv":
commands.append(
"""RUN uv pip check --system || ( \
echo "Dependency resolution check failed. One or more installed packages are incompatible."; \
echo "Pin compatible versions in your dependencies and try again."; \
exit 1 \
)"""
)
elif pip_installer == "pip":
commands.append(
"""RUN python -m pip check || ( \
echo "Dependency resolution check failed. One or more installed packages are incompatible."; \
echo "Pin compatible versions in your dependencies and try again."; \
exit 1 \
)"""
)
commands.append(
"""# -- End dependency validation --
# -- Ensure user deps didn't inadvertently overwrite langgraph-api
commands = [
f"""# -- Ensure user deps didn't inadvertently overwrite langgraph-api
RUN mkdir -p /api/langgraph_api /api/langgraph_runtime /api/langgraph_license && \
touch /api/langgraph_api/__init__.py /api/langgraph_runtime/__init__.py /api/langgraph_license/__init__.py
RUN PYTHONDONTWRITEBYTECODE=1 """
+ install_cmd
+ """ --no-cache-dir --no-deps -e /api
RUN PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir --no-deps -e /api
# -- End of ensuring user deps didn't inadvertently overwrite langgraph-api --
# -- Removing build deps from the final image ~<:===~~~ --"""
)
]
if to_uninstall:
for pack in to_uninstall:
if pack not in _BUILD_TOOLS:
@@ -149,18 +123,6 @@ def _parse_node_version(version_str: str) -> int:
) from None
def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
"""Parse an API version into numeric components.
Supports optional prerelease suffixes, e.g. `0.9.0rc1`.
"""
version_core = version_str.split("-", 1)[0]
match = _API_VERSION_PATTERN.fullmatch(version_core)
if not match:
raise ValueError("Version must be major or major.minor or major.minor.patch.")
return tuple(int(part) for part in match.groups() if part is not None)
def _is_node_graph(spec: str | dict) -> bool:
"""Check if a graph is a Node.js graph based on the file extension."""
if isinstance(spec, dict):
@@ -214,12 +176,12 @@ def validate_config(config: Config) -> Config:
)
if api_version:
try:
parts = _parse_api_version_parts(api_version)
parts = tuple(map(int, api_version.split("-")[0].split(".")))
if len(parts) > 3:
raise ValueError(
"Version must be major or major.minor or major.minor.patch."
)
except (TypeError, ValueError):
except TypeError:
raise click.UsageError(
f"Invalid version format: {api_version}.\n\n"
"Pin to a minor version, e.g.:\n"
+1 -45
View File
@@ -849,41 +849,6 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
# ---------------------------------------------------------------------------
def _resolve_pushed_image_digest(
runner,
*,
remote_image: str,
docker_config_dir: str | None,
verbose: bool,
) -> str:
"""Return ``{registry}/{repo}@sha256:<hex>`` for a freshly-pushed image.
Reads ``RepoDigests`` via ``docker image inspect`` the local daemon
records the registry's manifest digest there after a successful push.
Falls back to ``remote_image`` with a warning if no matching digest is
found, rather than failing the deploy.
"""
# rsplit preserves ``:port`` in the registry host.
repo_no_tag = remote_image.rsplit(":", 1)[0]
args: list[str] = ["docker"]
if docker_config_dir:
args += ["--config", docker_config_dir]
args += ["image", "inspect", "--format", "{{json .RepoDigests}}", remote_image]
stdout, _ = runner.run(subp_exec(*args, collect=True, verbose=verbose))
try:
digests = json_mod.loads(stdout or "[]") or []
except json_mod.JSONDecodeError:
digests = []
for d in digests:
if isinstance(d, str) and d.startswith(f"{repo_no_tag}@sha256:"):
return d
_get_emitter().warn(
f"Could not resolve image digest for {remote_image}; "
"falling back to the tag-based reference. Re-run with --verbose for details."
)
return remote_image
def _run_local_build(
*,
client: HostBackendClient,
@@ -1050,18 +1015,9 @@ def _run_local_build(
raise
step += 1
resolved_image = _resolve_pushed_image_digest(
runner,
remote_image=remote_image,
docker_config_dir=None,
verbose=verbose,
)
# -- Step: Update deployment --
_log_deploy_step(step, f"Updating deployment {deployment_id}")
updated = client.update_deployment(
deployment_id, resolved_image, secrets=secrets
)
updated = client.update_deployment(deployment_id, remote_image, secrets=secrets)
return BuildResult(
updated=updated if isinstance(updated, dict) else {},
+1 -1
View File
@@ -23,7 +23,7 @@ dependencies = [
path = "langgraph_cli/__init__.py"
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.5.35,<0.10.0 ; python_version >= '3.11'",
"langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
]
+4 -55
View File
@@ -1330,8 +1330,6 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_auto, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " in docker_auto
assert "RUN uv pip check --system" in docker_auto
assert "python -m pip check" not in docker_auto
assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto
# Test explicit pip setting
@@ -1340,8 +1338,6 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_pip, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " not in docker_pip
assert "RUN uv pip check --system" not in docker_pip
assert "RUN python -m pip check" in docker_pip
assert "pip install" in docker_pip
assert "rm /usr/bin/uv" not in docker_pip
@@ -1351,8 +1347,6 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_uv, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " in docker_uv
assert "RUN uv pip check --system" in docker_uv
assert "python -m pip check" not in docker_uv
assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv
# Test auto behavior with older image (should use pip)
@@ -1363,8 +1357,6 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_auto_old, base_image="langchain/langgraph-api:0.2.46"
)
assert "uv pip install --system " not in docker_auto_old
assert "RUN uv pip check --system" not in docker_auto_old
assert "RUN python -m pip check" in docker_auto_old
assert "pip install" in docker_auto_old
assert "rm /usr/bin/uv" not in docker_auto_old
@@ -1374,32 +1366,6 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_default, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " in docker_default
assert "RUN uv pip check --system" in docker_default
assert "python -m pip check" not in docker_default
def test_get_pip_cleanup_lines_selects_check_command_by_installer():
cleanup_uv = _get_pip_cleanup_lines(
install_cmd="uv pip install --system",
to_uninstall=None,
pip_installer="uv",
)
assert "RUN uv pip check --system" in cleanup_uv
assert "python -m pip check" not in cleanup_uv
assert cleanup_uv.index("RUN uv pip check --system") < cleanup_uv.index(
"RUN mkdir -p /api/langgraph_api"
)
cleanup_pip = _get_pip_cleanup_lines(
install_cmd="pip install",
to_uninstall=None,
pip_installer="pip",
)
assert "RUN python -m pip check" in cleanup_pip
assert "uv pip check --system" not in cleanup_pip
assert cleanup_pip.index("RUN python -m pip check") < cleanup_pip.index(
"RUN mkdir -p /api/langgraph_api"
)
def test_config_to_docker_uv_lock():
@@ -2524,7 +2490,7 @@ def test_config_to_compose_simple_config():
def test_config_to_compose_env_vars():
graphs = {"agent": "./agent.py:graph"}
expected_compose_stdin = f""" OPENAI_API_KEY: "key"
pull_policy: build
build:
context: .
@@ -2607,7 +2573,7 @@ def test_config_to_compose_env_file():
def test_config_to_compose_watch():
graphs = {"agent": "./agent.py:graph"}
expected_compose_stdin = f"""\
pull_policy: build
build:
context: .
@@ -2633,7 +2599,7 @@ def test_config_to_compose_watch():
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/outer-unit_tests/unit_tests
develop:
watch:
- path: test_config.json
@@ -2680,7 +2646,7 @@ def test_config_to_compose_end_to_end():
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/outer-unit_tests/unit_tests
develop:
watch:
- path: test_config.json
@@ -2978,23 +2944,6 @@ def test_docker_tag_with_api_version(in_config: bool):
assert tag == f"langchain/langgraph-server:{version}-py3.11"
@pytest.mark.parametrize("in_config", [False, True])
@pytest.mark.parametrize("version", ["0.9.0rc1", "0.9.0.dev1"])
def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
"""Test docker_tag with prerelease and dev api_version values."""
config = validate_config(
{
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.11"
def test_config_to_docker_with_api_version():
"""Test config_to_docker function with api_version parameter."""
@@ -3,7 +3,6 @@ import io
import json
import os
import sys
from unittest.mock import MagicMock
import click
import httpx
@@ -17,7 +16,6 @@ from langgraph_cli.deploy import (
_env_without_deployment_name,
_parse_env_from_config,
_resolve_env_path,
_resolve_pushed_image_digest,
_smith_dashboard_base_url,
normalize_image_tag,
normalize_name,
@@ -534,156 +532,3 @@ class TestSmithDashboardBaseUrl:
_smith_dashboard_base_url("https://custom.example.com")
== "https://smith.langchain.com"
)
class TestResolvePushedImageDigest:
"""Tests for ``_resolve_pushed_image_digest`` — runner is mocked to
return the ``(stdout, stderr)`` tuple that ``subp_exec(collect=True)``
would produce.
"""
@staticmethod
def _runner(stdout: str | None) -> MagicMock:
# Close the unawaited subp_exec coroutine to silence gc warnings.
runner = MagicMock()
def _run(coro, *args, **kwargs):
if hasattr(coro, "close"):
coro.close()
return (stdout, "")
runner.run.side_effect = _run
return runner
def test_happy_path_returns_digest(self):
runner = self._runner('["us-central1-docker.pkg.dev/proj/repo@sha256:abc123"]')
out = _resolve_pushed_image_digest(
runner,
remote_image="us-central1-docker.pkg.dev/proj/repo:latest",
docker_config_dir=None,
verbose=False,
)
assert out == "us-central1-docker.pkg.dev/proj/repo@sha256:abc123"
def test_filters_to_matching_repo(self):
# Same image ID can hold digests for multiple repos — pick the one
# matching the just-pushed repo.
runner = self._runner(
json.dumps(
[
"other-registry.example.com/some/repo@sha256:000000",
"us-central1-docker.pkg.dev/proj/repo@sha256:abc123",
]
)
)
out = _resolve_pushed_image_digest(
runner,
remote_image="us-central1-docker.pkg.dev/proj/repo:v1.2.3",
docker_config_dir=None,
verbose=False,
)
assert out == "us-central1-docker.pkg.dev/proj/repo@sha256:abc123"
def test_empty_repodigests_falls_back_with_warning(self, mocker):
emitter = mocker.MagicMock()
mocker.patch("langgraph_cli.deploy._get_emitter", return_value=emitter)
runner = self._runner("[]")
remote = "us-central1-docker.pkg.dev/proj/repo:latest"
out = _resolve_pushed_image_digest(
runner,
remote_image=remote,
docker_config_dir=None,
verbose=False,
)
assert out == remote
assert emitter.warn.called
assert remote in emitter.warn.call_args.args[0]
def test_null_repodigests_falls_back_with_warning(self, mocker):
# ``docker inspect --format '{{json .RepoDigests}}'`` emits ``null``
# when the field is absent.
emitter = mocker.MagicMock()
mocker.patch("langgraph_cli.deploy._get_emitter", return_value=emitter)
runner = self._runner("null")
remote = "us-central1-docker.pkg.dev/proj/repo:latest"
out = _resolve_pushed_image_digest(
runner,
remote_image=remote,
docker_config_dir=None,
verbose=False,
)
assert out == remote
assert emitter.warn.called
def test_no_matching_repo_falls_back_with_warning(self, mocker):
# No matching digest for the pushed repo — warn and fall back to the
# tag-based ref rather than failing the deploy.
emitter = mocker.MagicMock()
mocker.patch("langgraph_cli.deploy._get_emitter", return_value=emitter)
runner = self._runner('["other-registry.example.com/some/repo@sha256:000000"]')
remote = "us-central1-docker.pkg.dev/proj/repo:latest"
out = _resolve_pushed_image_digest(
runner,
remote_image=remote,
docker_config_dir=None,
verbose=False,
)
assert out == remote
assert emitter.warn.called
def test_registry_with_port_in_host(self):
# Only the rightmost ``:`` (the ``:latest`` tag) should be stripped.
runner = self._runner('["localhost:5000/repo@sha256:deadbeef"]')
out = _resolve_pushed_image_digest(
runner,
remote_image="localhost:5000/repo:latest",
docker_config_dir=None,
verbose=False,
)
assert out == "localhost:5000/repo@sha256:deadbeef"
@staticmethod
def _capturing_runner(stdout: str) -> tuple[MagicMock, dict]:
"""Like ``_runner`` but exposes the coroutine for arg introspection.
Caller must close ``captured["coro"]``.
"""
runner = MagicMock()
captured: dict = {}
def _run(coro, *args, **kwargs):
captured["coro"] = coro
return (stdout, "")
runner.run.side_effect = _run
return runner, captured
def test_passes_docker_config_dir(self):
runner, captured = self._capturing_runner(
'["us-central1-docker.pkg.dev/proj/repo@sha256:abc"]'
)
_resolve_pushed_image_digest(
runner,
remote_image="us-central1-docker.pkg.dev/proj/repo:latest",
docker_config_dir="/tmp/some-cfg",
verbose=False,
)
frame_locals = captured["coro"].cr_frame.f_locals
assert frame_locals["cmd"] == "docker"
assert "--config" in frame_locals["args"]
cfg_idx = frame_locals["args"].index("--config")
assert frame_locals["args"][cfg_idx + 1] == "/tmp/some-cfg"
captured["coro"].close()
def test_omits_docker_config_dir_when_none(self):
runner, captured = self._capturing_runner(
'["us-central1-docker.pkg.dev/proj/repo@sha256:abc"]'
)
_resolve_pushed_image_digest(
runner,
remote_image="us-central1-docker.pkg.dev/proj/repo:latest",
docker_config_dir=None,
verbose=False,
)
frame_locals = captured["coro"].cr_frame.f_locals
assert "--config" not in frame_locals["args"]
captured["coro"].close()
@@ -7,7 +7,6 @@ dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=0.2.14",
"shared",
"langgraph-checkpoint-postgres>=3.0.0"
]
[build-system]
+1 -2
View File
@@ -5,8 +5,7 @@ description = "uv workspace monorepo example for LangGraph CLI integration test"
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=1.3.3",
"langgraph-checkpoint-postgres>=3.0.0"
"langchain-core>=0.2.14",
]
[tool.uv.workspace]
+10 -76
View File
@@ -16,7 +16,6 @@ source = { editable = "apps/agent" }
dependencies = [
{ name = "langchain-core" },
{ name = "langgraph" },
{ name = "langgraph-checkpoint-postgres" },
{ name = "shared" },
]
@@ -24,7 +23,6 @@ dependencies = [
requires-dist = [
{ name = "langchain-core", specifier = ">=0.2.14" },
{ name = "langgraph", specifier = ">=0.6.0,<2" },
{ name = "langgraph-checkpoint-postgres", specifier = ">=3.0.0" },
{ name = "shared", editable = "libs/shared" },
]
@@ -217,11 +215,10 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.2.28"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
{ name = "langchain-protocol" },
{ name = "langsmith" },
{ name = "packaging" },
{ name = "pydantic" },
@@ -230,21 +227,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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version = "0.0.15"
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]
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langgraph-checkpoint" },
{ name = "orjson" },
{ name = "psycopg" },
{ name = "psycopg-pool" },
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[[package]]
name = "langgraph-prebuilt"
version = "1.0.9"
@@ -320,7 +290,7 @@ wheels = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -333,9 +303,9 @@ dependencies = [
{ name = "xxhash" },
{ name = "zstandard" },
]
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]
[[package]]
name = "psycopg"
version = "3.3.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
{ name = "tzdata", marker = "sys_platform == 'win32'" },
]
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name = "psycopg-pool"
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[[package]]
@@ -771,14 +707,12 @@ source = { virtual = "." }
dependencies = [
{ name = "langchain-core" },
{ name = "langgraph" },
{ name = "langgraph-checkpoint-postgres" },
]
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.3.3" },
{ name = "langchain-core", specifier = ">=0.2.14" },
{ name = "langgraph", specifier = ">=0.6.0,<2" },
{ name = "langgraph-checkpoint-postgres", specifier = ">=3.0.0" },
]
[[package]]
+1 -1
View File
@@ -5,7 +5,7 @@ description = "Simple single-package uv example for LangGraph CLI integration te
requires-python = ">=3.11"
dependencies = [
"langgraph>=0.6.0,<2",
"langchain-core>=1.3.3",
"langchain-core>=0.2.14",
]
[build-system]
+307 -431
View File
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version = "1.2.28"
source = { registry = "https://pypi.org/simple" }
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[[package]]
+13 -26
View File
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[[package]]
@@ -946,11 +946,10 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.3.3"
version = "1.3.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch", marker = "python_full_version >= '3.11'" },
{ name = "langchain-protocol", marker = "python_full_version >= '3.11'" },
{ name = "langsmith", marker = "python_full_version >= '3.11'" },
{ name = "packaging", marker = "python_full_version >= '3.11'" },
{ name = "pydantic", marker = "python_full_version >= '3.11'" },
@@ -959,21 +958,9 @@ dependencies = [
{ name = "typing-extensions", marker = "python_full_version >= '3.11'" },
{ name = "uuid-utils", marker = "python_full_version >= '3.11'" },
]
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[[package]]
name = "langchain-protocol"
version = "0.0.15"
source = { registry = "https://pypi.org/simple" }
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{ name = "typing-extensions", marker = "python_full_version >= '3.11'" },
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[[package]]
@@ -1094,7 +1081,7 @@ test = [
requires-dist = [
{ name = "click", specifier = ">=8.1.7" },
{ name = "httpx", specifier = ">=0.24.0" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.10.0" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.9.0" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
{ name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
{ name = "pathspec", specifier = ">=0.11.0" },
@@ -1174,7 +1161,7 @@ wheels = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.32"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx", marker = "python_full_version >= '3.11'" },
@@ -1187,9 +1174,9 @@ dependencies = [
{ name = "xxhash", marker = "python_full_version >= '3.11'" },
{ name = "zstandard", marker = "python_full_version >= '3.11'" },
]
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[package.optional-dependencies]
@@ -2320,11 +2307,11 @@ wheels = [
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[[package]]
@@ -29,9 +29,6 @@ from langgraph._internal._constants import (
)
DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "10007"))
DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT = int(
getenv("LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT", "5000")
)
def recast_checkpoint_ns(ns: str) -> str:
+3 -15
View File
@@ -26,15 +26,6 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
"""Reducer channel that stores only a sentinel in checkpoint blobs and
reconstructs state by replaying ancestor writes through the reducer.
!!! warning "Beta"
`DeltaChannel` is in beta. The API and on-disk representation may
change in future releases. Threads written with `DeltaChannel` today
are expected to remain readable, but the surrounding contract
(`BaseCheckpointSaver.get_delta_channel_history`, the
`_DeltaSnapshot` blob shape, the `counters_since_delta_snapshot`
metadata field) is not yet stable.
The reducer receives the current accumulated value and a batch of writes
in one call: `reducer(state, [write1, write2, ...]) -> new_state`.
@@ -47,12 +38,9 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
This lets LangGraph replay checkpointed writes in larger batches than they
were originally produced without changing reconstructed state.
Snapshot cadence is driven by two counters: per-channel update count and
total supersteps since last snapshot. `create_checkpoint` writes a full
`_DeltaSnapshot` blob when EITHER the update count reaches
`snapshot_frequency` OR the supersteps count reaches the system-wide
`DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` bound (default 5000), bounding
replay depth even for channels that stop receiving writes.
Snapshot cadence is driven by per-channel update count. `create_checkpoint`
writes a full `_DeltaSnapshot` blob every `snapshot_frequency` updates to
this channel, bounding replay depth.
Parameters:
reducer: `(state, list[writes]) -> new_state`. Must be deterministic
+2 -133
View File
@@ -6,7 +6,7 @@ import typing
import warnings
from collections import defaultdict
from collections.abc import Awaitable, Callable, Hashable, Sequence
from dataclasses import dataclass, is_dataclass
from dataclasses import is_dataclass
from datetime import timedelta
from functools import partial
from inspect import isclass, isfunction, ismethod, signature
@@ -95,17 +95,6 @@ __all__ = ("StateGraph", "CompiledStateGraph")
logger = logging.getLogger(__name__)
_CHANNEL_BRANCH_TO = "branch:to:{}"
_DEFAULT_ERROR_HANDLER_NODE = "__default_error_handler__"
@dataclass(slots=True)
class _NodeDefaults:
"""Default node policies applied to every node at compile time."""
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None
cache_policy: CachePolicy | None = None
error_handler: StateNode[Any, Any] | None = None
timeout: TimeoutPolicy | None = None
def _warn_invalid_state_schema(schema: type[Any] | Any) -> None:
@@ -262,77 +251,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
self.output_schema = cast(type[OutputT], output_schema or state_schema)
self.context_schema = context_schema
self._node_defaults: _NodeDefaults = _NodeDefaults()
self._add_schema(self.state_schema)
self._add_schema(self.input_schema, allow_managed=False)
self._add_schema(self.output_schema, allow_managed=False)
def set_node_defaults(
self,
*,
retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
cache_policy: CachePolicy | None = None,
error_handler: StateNode[Any, ContextT] | None = None,
timeout: float | timedelta | TimeoutPolicy | None = None,
) -> Self:
"""Set default node policies that apply to every node in this graph.
Per-node values passed to `add_node` always take precedence over these
defaults. Defaults are applied at `compile()` time. Policies set here
are **not** inherited by subgraphs.
`retry_policy` and `timeout` defaults apply to **all** nodes,
including error-handler nodes. `cache_policy` and `error_handler`
defaults only apply to regular nodes -- caching error-handler results
is unsafe, and handlers must never catch themselves.
Args:
retry_policy: Default retry policy for nodes that don't specify
their own via `add_node(..., retry_policy=...)`. Also applies
to error-handler nodes.
cache_policy: Default cache policy for nodes that don't specify
their own via `add_node(..., cache_policy=...)`. Does **not**
apply to error-handler nodes.
error_handler: Default error handler invoked when any regular node
raises and does not have its own `error_handler` set via
`add_node`. The handler is **not** invoked when an
error-handler node itself raises -- handler failures fail the
run.
timeout: Default timeout policy for nodes that don't specify their
own via `add_node(..., timeout=...)`. Also applies to
error-handler nodes. Accepts a `TimeoutPolicy`, a number of
seconds (`float`), or a `timedelta`.
Returns:
Self: The builder instance, for chaining.
Example:
```python
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(max_attempts=3),
error_handler=my_fallback_handler,
)
.add_node("a", node_a)
.add_node("b", node_b, retry_policy=custom_retry) # overrides default
.add_edge(START, "a")
.compile()
)
```
"""
defaults = self._node_defaults
if retry_policy is not None:
defaults.retry_policy = retry_policy
if cache_policy is not None:
defaults.cache_policy = cache_policy
if error_handler is not None:
defaults.error_handler = error_handler
if timeout is not None:
defaults.timeout = coerce_timeout_policy(timeout)
return self
@property
def _all_edges(self) -> set[tuple[str, str]]:
return self.edges | {
@@ -1271,63 +1193,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
key for key, val in self.channels.items() if not is_managed_value(val)
]
)
# Apply builder defaults to node specs. Per-node values always win.
# Error-handler routing and cache_policy are only assigned to regular
# nodes. Retry and timeout defaults also apply to error-handler nodes.
defaults = self._node_defaults
default_handler_name: str | None = None
if defaults.error_handler is not None:
if _DEFAULT_ERROR_HANDLER_NODE in self.nodes:
raise ValueError(
f"Auto-generated default error handler node "
f"`{_DEFAULT_ERROR_HANDLER_NODE}` already exists."
)
default_handler_name = _DEFAULT_ERROR_HANDLER_NODE
self.nodes[default_handler_name] = StateNodeSpec[Any, ContextT](
coerce_to_runnable(
defaults.error_handler, # type: ignore[arg-type]
name=default_handler_name,
trace=False,
),
metadata=None,
input_schema=self.state_schema,
retry_policy=None,
cache_policy=None,
is_error_handler=True,
)
# Apply builder defaults to node specs. Per-node values always win.
for spec in self.nodes.values():
# error_handler: regular nodes only — handlers must never
# catch themselves or other handlers.
if (
not spec.is_error_handler
and default_handler_name is not None
and spec.error_handler_node is None
):
spec.error_handler_node = default_handler_name
# retry: all nodes — handlers should be retried on transient
# failures just like regular nodes.
if defaults.retry_policy is not None and spec.retry_policy is None:
spec.retry_policy = defaults.retry_policy
# cache: regular nodes only — caching an error-handler result
# is unsafe because the input (failed-node state) may differ
# across failures even when the cache key matches.
if (
not spec.is_error_handler
and defaults.cache_policy is not None
and spec.cache_policy is None
):
spec.cache_policy = defaults.cache_policy
# timeout: all nodes — a stuck handler should be cancelled the
# same way a stuck regular node would be.
if defaults.timeout is not None and spec.timeout is None:
spec.timeout = defaults.timeout
node_error_handler_map = {
node_name: spec.error_handler_node
for node_name, spec in self.nodes.items()
if not spec.is_error_handler and spec.error_handler_node is not None
if spec.error_handler_node is not None
}
compiled = CompiledStateGraph[StateT, ContextT, InputT, OutputT](
+26 -17
View File
@@ -8,11 +8,11 @@ from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
Checkpoint,
CheckpointMetadata,
)
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from langgraph._internal._config import DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
from langgraph._internal._typing import MISSING
from langgraph.channels.base import BaseChannel
from langgraph.channels.delta import DeltaChannel
@@ -36,26 +36,21 @@ def empty_checkpoint() -> Checkpoint:
def delta_channels_to_snapshot(
channels: Mapping[str, BaseChannel],
counters_since_delta_snapshot: Mapping[str, tuple[int, int]],
counts: Mapping[str, int],
) -> set[str]:
"""Return the set of DeltaChannel names that should snapshot now.
A channel snapshots when EITHER its accumulated update count reaches
`snapshot_frequency` OR the total supersteps since its last snapshot
reaches `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`. This is a pure
A channel snapshots when its accumulated update count (since the last
snapshot) reaches or exceeds `snapshot_frequency`. This is a pure
predicate no mutation.
"""
result: set[str] = set()
for name, ch in channels.items():
if not isinstance(ch, DeltaChannel) or not ch.is_available():
continue
updates, supersteps = counters_since_delta_snapshot.get(name, (0, 0))
if (
updates >= ch.snapshot_frequency
or supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
):
result.add(name)
return result
return {
name
for name, ch in channels.items()
if isinstance(ch, DeltaChannel)
and ch.is_available()
and counts.get(name, 0) >= ch.snapshot_frequency
}
def create_checkpoint(
@@ -74,7 +69,7 @@ def create_checkpoint(
is written into `channel_values[k]`. Other delta channels are omitted
from `channel_values` the ancestor walk reconstructs their state
from `checkpoint_writes`. Callers compute the set via
`delta_channels_to_snapshot(channels, counters)`; defaults to empty
`delta_channels_to_snapshot(channels, counts)`; defaults to empty
(no snapshots) when not provided.
"""
ts = datetime.now(timezone.utc).isoformat()
@@ -236,3 +231,17 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
updated_channels=checkpoint.get("updated_channels", None),
)
def read_delta_updates_since_snapshot(
metadata: CheckpointMetadata | None,
) -> dict[str, int]:
"""Read the per-channel update counter from checkpoint metadata.
Returns an empty dict for missing/None metadata; the dict is
`total=False` on `CheckpointMetadata`, so absence means "no prior
delta-channel activity tracked."
"""
if not metadata:
return {}
return dict(metadata.get("delta_updates_since_snapshot", {}) or {})
+40 -145
View File
@@ -115,7 +115,6 @@ from langgraph.pregel._io import (
map_output_values,
read_channels,
)
from langgraph.pregel._messages import ensure_message_ids
from langgraph.pregel._read import PregelNode
from langgraph.pregel._utils import get_new_channel_versions, is_xxh3_128_hexdigest
from langgraph.pregel.debug import (
@@ -204,12 +203,6 @@ class PregelLoop:
# `__enter__`; stays `None` only when no checkpointer.
_delta_write_futs: list[Any] | None = None
# Same pattern as `_delta_write_futs` but for error-handler writes.
# When `put_writes` persists an ERROR_SOURCE_NODE marker, the future is
# appended here. `schedule_error_handler` / `aschedule_error_handler`
# drain this list so the write is durable before the handler starts.
_error_handler_write_futs: list[Any] | None = None
# Exit-mode accumulator: every delta-channel write produced during this
# run (input writes from `_first` + per-superstep writes captured in
# `after_tick`). At exit, `_put_exit_delta_writes` filters out channels
@@ -448,14 +441,6 @@ class PregelLoop:
# save writes
self.checkpoint_pending_writes.extend((task_id, c, v) for c, v in writes)
# Assign stable IDs to any id=None BaseMessages in DeltaChannel writes
# before the background thread serialises them. Without this, reducers
# that assign IDs inside apply_writes() race with serialisation and
# store id=None, causing get_state() replays to produce a different UUID
# on every call.
for c, v in writes_to_save:
if isinstance(self.specs.get(c), DeltaChannel):
ensure_message_ids(v)
if self.durability != "exit" and self.checkpointer_put_writes is not None:
config = patch_configurable(
self.checkpoint_config,
@@ -489,13 +474,6 @@ class PregelLoop:
isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
):
self._delta_write_futs.append(fut)
# ERROR_SOURCE_NODE is only appended by commit() when the task
# has an error handler (_should_route_to_error_handler), so this
# check naturally limits future collection to those tasks.
if self._error_handler_write_futs is not None and any(
c == ERROR_SOURCE_NODE for c, _ in writes
):
self._error_handler_write_futs.append(fut)
# output writes
if hasattr(self, "tasks"):
self.output_writes(task_id, writes)
@@ -575,7 +553,7 @@ class PregelLoop:
self.tasks[pushed.id] = pushed
# match any pending writes to the new task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({pushed.id: pushed})
self._match_writes({pushed.id: pushed})
# return the new task, to be started if not run before
return pushed
@@ -653,8 +631,7 @@ class PregelLoop:
# if there are pending writes from a previous loop, apply them
if not self.is_replaying and self.checkpoint_pending_writes:
self._reapply_writes_to_succeeded_nodes(self.tasks)
self._resume_error_handlers_if_applicable()
self._match_writes(self.tasks)
# before execution, check if we should interrupt
if self.interrupt_before and should_interrupt(
@@ -721,88 +698,13 @@ class PregelLoop:
# private
def _reapply_writes_to_succeeded_nodes(
self, tasks: Mapping[str, PregelExecutableTask]
) -> None:
"""Restore successful channel writes from checkpoint to in-memory tasks.
Skips control signals (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME)
so that failed/interrupted tasks remain with empty writes and will be
re-executed (or routed to error handlers) by the runner.
"""
def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
for tid, k, v in self.checkpoint_pending_writes:
if k in (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME):
continue
if task := tasks.get(tid):
task.writes.append((k, v))
def _resume_error_handlers_if_applicable(self) -> None:
"""On resume, schedule error handlers for tasks that failed in a prior run.
Called right after ``_reapply_writes_to_succeeded_nodes`` during ``tick()``.
At that point, ``_reapply_writes_to_succeeded_nodes`` has already skipped
ERROR / ERROR_SOURCE_NODE writes, so a previously-failed task still has
empty ``writes``. Without intervention the runner (which executes only
tasks where ``not t.writes``) would re-run the original node.
This method prevents that re-execution for nodes that have an error
handler:
1. Scan ``checkpoint_pending_writes`` for ERROR_SOURCE_NODE markers
persisted by a prior ``commit()``. Each marker means "this task
already failed and was routed to an error handler".
2. For each such task, write ``(ERROR, error)`` into ``task.writes``
so the task is no longer empty the runner will skip it.
3. Prepare a fresh error-handler task and add it to ``self.tasks``.
Because the handler task starts with empty ``writes``, the runner
will pick it up and execute it.
"""
# Phase 1: collect task-ids that have ERROR_SOURCE_NODE + ERROR pairs.
failed: dict[str, BaseException] = {}
for tid, chan, val in self.checkpoint_pending_writes:
if chan == ERROR_SOURCE_NODE:
error = next(
(
v
for t, c, v in self.checkpoint_pending_writes
if t == tid and c == ERROR
),
None,
)
if error is not None:
failed[tid] = error
# Phase 2: mark originals as done, schedule handler tasks.
for task_id, error in failed.items():
task = self.tasks.get(task_id)
if task is None:
continue
handler_node = self.nodes[task.name].error_handler_node
if not handler_node:
continue
# Non-empty writes → runner's `not t.writes` filter skips this task.
task.writes.append((ERROR, error))
# The handler task starts with empty writes → runner will execute it.
handler_task = prepare_node_error_handler_task(
task,
handler_node_name=handler_node,
failed_error=error,
checkpoint=self.checkpoint,
pending_writes=self.checkpoint_pending_writes,
processes=self.nodes,
channels=self.channels,
managed=self.managed,
config=task.config,
step=self.step,
stop=self.stop,
store=self.store,
checkpointer=self.checkpointer,
manager=self.manager,
retry_policy=self.retry_policy,
cache_policy=self.cache_policy,
)
if handler_task is not None:
self.tasks[handler_task.id] = handler_task
def _pending_interrupts(self) -> set[str]:
"""Return the set of interrupt ids that are pending without corresponding resume values."""
# mapping of task ids to interrupt ids
@@ -1076,41 +978,35 @@ class PregelLoop:
if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
# checkpoint already saved
return
# Per-delta-channel counter bookkeeping.
#
# Each delta channel tracks a (updates, supersteps) tuple:
# - `updates` increments only when the channel is written this step.
# - `supersteps` increments every superstep regardless.
# Per-delta-channel update bookkeeping.
#
# `_put_checkpoint` is called once per superstep with a fresh
# metadata dict (source="input"|"loop"|"fork") — those are the
# intermediate calls that bump counters. In exit mode,
# intermediate calls that bump the count by +1 for each delta
# channel touched that step. In exit mode,
# `_suppress_interrupt`(will rename to _on_loop_exit soon)
# additionally calls `_put_checkpoint(self.checkpoint_metadata)` AT
# EXIT to commit the final checkpoint — this runs *after* the last
# intermediate call already counted the last superstep. So the
# exit call must NOT bump again or it would double-count the last
# superstep.
# superstep. (Sync/async durability does not call `_put_checkpoint`
# at exit, so the issue only surfaces in exit mode. force_delta_snapshot
# used to mask this latent bug by resetting every count to 0.)
if not exiting:
prev_counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
prev_counts = dict(
self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
)
new_counters: dict[str, tuple[int, int]] = {}
updated = self.updated_channels or set()
for ch_name, ch in self.channels.items():
if not isinstance(ch, DeltaChannel):
continue
u, s = prev_counters.get(ch_name, (0, 0))
s += 1
if ch_name in updated:
u += 1
new_counters[ch_name] = (u, s)
new_counts = dict(prev_counts)
if self.updated_channels:
for ch_name in self.updated_channels:
if isinstance(self.channels.get(ch_name), DeltaChannel):
new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
metadata["step"] = self.step
metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
self.checkpoint_metadata = metadata
else:
new_counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
new_counts = dict(
self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
)
# do checkpoint?
do_checkpoint = self._checkpointer_put_after_previous is not None and (
@@ -1118,7 +1014,7 @@ class PregelLoop:
)
# create new checkpoint
channels_to_snapshot = (
delta_channels_to_snapshot(self.channels, new_counters)
delta_channels_to_snapshot(self.channels, new_counts)
if do_checkpoint
else set()
)
@@ -1134,12 +1030,11 @@ class PregelLoop:
channels_to_snapshot=channels_to_snapshot,
)
for k in channels_to_snapshot:
new_counters[k] = (0, 0)
non_zero = {k: v for k, v in new_counters.items() if v != (0, 0)}
if non_zero:
self.checkpoint_metadata["counters_since_delta_snapshot"] = non_zero
elif "counters_since_delta_snapshot" in self.checkpoint_metadata:
del self.checkpoint_metadata["counters_since_delta_snapshot"]
new_counts[k] = 0
if new_counts:
self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
del self.checkpoint_metadata["delta_updates_since_snapshot"]
# sanitize TASK channel in the checkpoint before saving (durability=="exit")
if TASKS in self.checkpoint["channel_values"] and any(
isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -1214,10 +1109,8 @@ class PregelLoop:
):
return
counters = dict(
self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
)
channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
counts = self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
channels_to_snapshot = delta_channels_to_snapshot(self.channels, counts)
pending = [
(step, tid, ch, v)
@@ -1552,10 +1445,12 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
handler_node = self.nodes[failed_task.name].error_handler_node
if not handler_node:
return None
# ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
if self._error_handler_write_futs:
futs, self._error_handler_write_futs = self._error_handler_write_futs, []
concurrent.futures.wait(futs)
writes = list(failed_task.writes)
writes.append((ERROR_SOURCE_NODE, failed_task.name))
self.put_writes(
failed_task.id,
writes,
)
handler_task = prepare_node_error_handler_task(
failed_task,
handler_node_name=handler_node,
@@ -1578,7 +1473,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
return None
self.tasks[handler_task.id] = handler_task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
self._match_writes({handler_task.id: handler_task})
for task in self.match_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return handler_task
@@ -1660,7 +1555,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._exit_delta_writes = (
[] if self.durability == "exit" and self.checkpointer is not None else None
)
@@ -1806,10 +1700,12 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
handler_node = self.nodes[failed_task.name].error_handler_node
if not handler_node:
return None
# ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
if self._error_handler_write_futs:
futs, self._error_handler_write_futs = self._error_handler_write_futs, []
await asyncio.gather(*futs)
writes = list(failed_task.writes)
writes.append((ERROR_SOURCE_NODE, failed_task.name))
self.put_writes(
failed_task.id,
writes,
)
handler_task = prepare_node_error_handler_task(
failed_task,
handler_node_name=handler_node,
@@ -1832,7 +1728,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
return None
self.tasks[handler_task.id] = handler_task
if not self.is_replaying:
self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
self._match_writes({handler_task.id: handler_task})
for task in await self.amatch_cached_writes():
self.output_writes(task.id, task.writes, cached=True)
return handler_task
@@ -1917,7 +1813,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._exit_delta_writes = (
[] if self.durability == "exit" and self.checkpointer is not None else None
)
+1 -84
View File
@@ -10,8 +10,7 @@ from typing import (
from uuid import UUID, uuid4
from langchain_core.callbacks import BaseCallbackHandler
from langchain_core.messages import BaseMessage, ToolMessage
from langchain_core.messages.utils import convert_to_messages
from langchain_core.messages import BaseMessage
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
from pydantic import BaseModel
@@ -304,35 +303,6 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
super().__init__(stream, subgraphs, parent_ns=parent_ns)
self._streamed_run_ids: set[UUID] = set()
def _find_and_emit_messages(self, meta: Meta, response: Any) -> None:
"""Like the v1 handler, but skip ToolMessage from node outputs.
Tool results belong on the tools channel / state in v3; v2-flagged streams
must not replay finalized ToolMessages as chat tokens (see MessagesTransformer).
Legacy v1-only `stream_mode="messages"` still emits ToolMessages (see subgraph
streaming tests).
"""
if isinstance(response, BaseMessage) and not isinstance(response, ToolMessage):
self._emit(meta, response, dedupe=True)
elif isinstance(response, Sequence):
for value in response:
if isinstance(value, BaseMessage) and not isinstance(
value, ToolMessage
):
self._emit(meta, value, dedupe=True)
else:
for value in _state_values(response):
if isinstance(value, BaseMessage) and not isinstance(
value, ToolMessage
):
self._emit(meta, value, dedupe=True)
elif isinstance(value, Sequence):
for item in value:
if isinstance(item, BaseMessage) and not isinstance(
item, ToolMessage
):
self._emit(meta, item, dedupe=True)
def on_llm_end(
self,
response: LLMResult,
@@ -406,56 +376,3 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
self.seen.add(msg_id)
v2_meta = {**meta[1], "run_id": str(run_id)}
self.stream((meta[0], "messages", (event, v2_meta)))
# Known role values (OpenAI-style) and type values (LangChain serialisation)
# that identify a dict as a message. Checked before coercing to BaseMessage so
# we don't accidentally touch unrelated dicts that happen to have a "role" key.
_MESSAGE_ROLES: frozenset[str] = frozenset(
{"user", "human", "assistant", "ai", "tool", "system", "function"}
)
_MESSAGE_TYPES: frozenset[str] = frozenset(
{"human", "ai", "tool", "system", "function", "remove"}
)
def _is_message_dict(item: dict) -> bool:
return item.get("role") in _MESSAGE_ROLES or item.get("type") in _MESSAGE_TYPES
def ensure_message_ids(value: Any) -> None:
"""Coerce message-like write values to typed BaseMessages with stable IDs.
Called in put_writes() before DeltaChannel writes are submitted to the
checkpointer. Without this the checkpoint may store raw dicts or id=None
BaseMessages; every get_state() replay then produces a different UUID and
the same message appears with a different ID in each LangSmith trace.
Handles three input shapes:
- BaseMessage objects: assign a UUID if id is None.
- Dicts with a known "role" (OpenAI-style) or "type" (LangChain format) at
the root level: stamp "id" into the dict in-place. The reducer's
convert_to_messages call will forward the id to the resulting BaseMessage.
- Lists of the above: apply the same logic to each element, replacing dict
items with coerced BaseMessages so the shared list reference seen by
checkpoint_pending_writes and the background thread both get typed messages.
Mutating synchronously here (before the background thread is submitted) is
safe: the serialised bytes always reflect the post-coercion state.
"""
if isinstance(value, BaseMessage):
if value.id is None:
value.id = str(uuid4())
elif isinstance(value, dict) and _is_message_dict(value):
if not value.get("id"):
value["id"] = str(uuid4())
elif isinstance(value, list):
for i, item in enumerate(value):
if isinstance(item, BaseMessage):
if item.id is None:
item.id = str(uuid4())
elif isinstance(item, dict) and _is_message_dict(item):
msg = convert_to_messages([item])[0]
if msg.id is None:
msg.id = str(uuid4())
value[i] = msg
+1 -2
View File
@@ -31,7 +31,6 @@ from langgraph._internal._constants import (
CONFIG_KEY_CALL,
CONFIG_KEY_SCRATCHPAD,
ERROR,
ERROR_SOURCE_NODE,
INTERRUPT,
NO_WRITES,
RESUME,
@@ -598,7 +597,7 @@ class PregelRunner:
if self._should_route_to_error_handler(task) and not isinstance(
exception, GraphBubbleUp
):
task.writes.append((ERROR_SOURCE_NODE, task.name))
# Mark early in commit path; loop-side routing may happen later.
self._handled_exception_ids.add(id(exception))
self.put_writes()(task.id, task.writes) # type: ignore[misc]
else:
+5 -30
View File
@@ -62,14 +62,6 @@ class StreamMux:
`extensions`, `_native` keys are recorded in `native_keys`, and
any StreamChannel instances are bound and (if named) wired.
Transformers with `StreamTransformer.before_builtins = True` are
registered ahead of the rest, preserving relative order within
each lane. This lets content-mutating transformers (PII
redaction, content filters, etc.) run before built-ins like
`MessagesTransformer` that eagerly snapshot text fields into
their projections. See `StreamTransformer.before_builtins` for
the contract and foot-guns.
Args:
transformers: Already-built transformer instances. Registered
only on this mux they are NOT cloned into child
@@ -120,31 +112,14 @@ class StreamMux:
self._pump_fn: Callable[[], bool] | None = None
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
# Factories run first (they propagate to child mini-muxes via
# `_make_child`), then any pre-built `transformers=` instances
# are registered as root-only — they aren't cloned for child
# scopes. Within each group, transformers with
# `before_builtins = True` are registered ahead of the rest so
# they observe (and may mutate) events before built-ins like
# `MessagesTransformer`. The order *within* each lane matches
# the supplied sequence.
pre: list[StreamTransformer] = []
rest: list[StreamTransformer] = []
# Factories run first (they propagate to child mini-muxes
# via `_make_child`), then any pre-built `transformers=`
# instances are registered as root-only — they aren't cloned
# for child scopes.
if factories is not None:
for factory in factories:
transformer = factory(scope)
(
pre if getattr(transformer, "before_builtins", False) else rest
).append(transformer)
for transformer in (*pre, *rest):
self._register(transformer)
pre.clear()
rest.clear()
self._register(factory(scope))
for transformer in transformers or ():
(pre if getattr(transformer, "before_builtins", False) else rest).append(
transformer
)
for transformer in (*pre, *rest):
self._register(transformer)
def transformer_by_key(self, key: str) -> StreamTransformer | None:
-17
View File
@@ -91,28 +91,11 @@ class StreamTransformer(ABC):
which modes a `stream_events(version="v3")` run requests from the graph.
Empty tuple means the transformer consumes only synthetic
events (or is purely passive).
before_builtins: Opt-in for transformers that must run *before*
built-in transformers like `MessagesTransformer` and
`ToolCallTransformer`. The mux partitions factories by this
flag at registration time: `before_builtins = True`
transformers are registered first, then everything else in
the order supplied. Within each lane, registration order is
preserved. This is the supported hook for content-mutating
transformers (PII redaction, profanity filters, etc.) whose
mutations must land before built-ins eagerly snapshot text
fields into their projections. **Foot-gun:** transformers
in this lane see `tasks` events before `LifecycleTransformer`
and `SubgraphTransformer` consume them mutating
`event["params"]["namespace"]` or the data dict's
`id` / `result` / `error` / `interrupts` fields will desync
their bookkeeping. Observe freely; mutate only fields no
built-in reads (e.g. `delta.text` on `messages` events).
"""
requires_async: ClassVar[bool] = False
supports_sync: ClassVar[bool] = False
required_stream_modes: ClassVar[tuple[str, ...]] = ()
before_builtins: ClassVar[bool] = False
def __init__(self, scope: tuple[str, ...] = ()) -> None:
"""Initialize the transformer with its mux's scope.
@@ -8,7 +8,7 @@ from langchain_core.language_models.chat_model_stream import (
AsyncChatModelStream,
ChatModelStream,
)
from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
from langchain_core.messages import AIMessageChunk, BaseMessage
from langchain_protocol.protocol import MessagesData
from typing_extensions import NotRequired, TypedDict
@@ -203,7 +203,6 @@ class MessagesTransformer(StreamTransformer):
# Correlate protocol events back to a ChatModelStream by run_id
# (attached to the event's metadata by StreamMessagesHandler).
self._by_run: dict[str, ChatModelStream] = {}
self._ignored_runs: set[str] = set()
self._pump_fn: Callable[[], bool] | None = None
self._apump_fn: Callable[[], Awaitable[bool]] | None = None
# Cached as a list once for cheap equality with the protocol
@@ -277,10 +276,8 @@ class MessagesTransformer(StreamTransformer):
self._route_protocol_event(
cast("MessagesData", payload), run_id=run_id, node=node
)
elif (
isinstance(payload, BaseMessage)
and not isinstance(payload, AIMessageChunk)
and not isinstance(payload, ToolMessage)
elif isinstance(payload, BaseMessage) and not isinstance(
payload, AIMessageChunk
):
self._route_whole_message(payload, node=node)
# Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
@@ -298,11 +295,6 @@ class MessagesTransformer(StreamTransformer):
) -> None:
event_type = event.get("event")
if event_type == "message-start":
# Tool results are exposed on the tools projection and state
# snapshots; run.messages is the chat-token projection.
if event.get("role") == "tool":
self._ignored_runs.add(run_id)
return
message_id = event.get("message_id")
stream = self._make_stream(
namespace=[],
@@ -312,9 +304,6 @@ class MessagesTransformer(StreamTransformer):
self._by_run[run_id] = stream
self._log.push(stream)
stream.dispatch(event)
elif run_id in self._ignored_runs:
if event_type == "message-finish":
self._ignored_runs.discard(run_id)
elif run_id in self._by_run:
stream = self._by_run[run_id]
stream.dispatch(event)
@@ -330,14 +319,12 @@ class MessagesTransformer(StreamTransformer):
def finalize(self) -> None:
"""Clear any routing state — streams close themselves via `message-finish`."""
self._by_run.clear()
self._ignored_runs.clear()
def fail(self, err: BaseException) -> None:
"""Propagate run error to any streams still open when the graph fails."""
for stream in list(self._by_run.values()):
stream.fail(err)
self._by_run.clear()
self._ignored_runs.clear()
SubgraphStatus = Literal["started", "completed", "failed", "interrupted", "drained"]
+4 -4
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.2"
version = "1.2.0a7"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -24,10 +24,10 @@ classifiers = [
'Programming Language :: Python :: 3.13',
]
dependencies = [
"langchain-core>=1.4.0,<2",
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langchain-core>=1.4.0a2,<2",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"langgraph-sdk>=0.3.0,<0.4.0",
"langgraph-prebuilt>=1.1.0,<1.2.0",
"langgraph-prebuilt>=1.1.0a2,<1.2.0",
"xxhash>=3.5.0",
"pydantic>=2.7.4",
]
@@ -160,8 +160,8 @@ async def test_exit_resumed_run_sub_freq() -> None:
async def test_exit_count_parity_sync_vs_exit() -> None:
"""Sync and exit durability produce the same update count in
counters_since_delta_snapshot after an equivalent run."""
"""Sync and exit durability produce the same delta_updates_since_snapshot
after an equivalent run."""
for durability in ("sync", "exit"):
saver = InMemorySaver()
graph = _build_graph(saver)
@@ -175,13 +175,9 @@ async def test_exit_count_parity_sync_vs_exit() -> None:
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
updates, supersteps = counters.get("messages", (0, 0))
assert updates == 2, (
f"durability={durability}: expected updates=2, got {updates}"
)
assert supersteps >= 2, (
f"durability={durability}: expected supersteps>=2, got {supersteps}"
counts = head.metadata.get("delta_updates_since_snapshot", {})
assert counts.get("messages") == 2, (
f"durability={durability}: expected count=2, got {counts}"
)
@@ -200,9 +196,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
)
head = saver.get_tuple(config)
assert head is not None
counters1 = head.metadata.get("counters_since_delta_snapshot", {})
updates1 = counters1.get("messages", (0, 0))[0]
assert updates1 == 2
count1 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
assert count1 == 2
graph.invoke(
{"messages": [HumanMessage(content="m2", id="h2")]},
@@ -211,9 +206,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
)
head = saver.get_tuple(config)
assert head is not None
counters2 = head.metadata.get("counters_since_delta_snapshot", {})
updates2 = counters2.get("messages", (0, 0))[0]
assert updates2 == 0, f"Expected reset to 0 after snapshot, got {updates2}"
count2 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
assert count2 == 0, f"Expected reset to 0 after snapshot, got {count2}"
assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
@@ -290,7 +284,7 @@ async def test_exit_multi_run_replay_chain() -> None:
async def test_exit_metadata_round_trip() -> None:
"""K=5 consecutive exit runs with snapshot_frequency=5. Verify metadata
counters_since_delta_snapshot increments correctly across runs."""
delta_updates_since_snapshot increments correctly across runs."""
freq = 5
saver = InMemorySaver()
graph = _build_graph(saver, freq=freq)
@@ -304,16 +298,15 @@ async def test_exit_metadata_round_trip() -> None:
)
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
updates = counters.get("messages", (0, 0))[0]
count = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
cumulative = i * 2
if cumulative >= freq:
assert updates == 0 or updates == cumulative % freq or updates < freq, (
f"After run {i}: updates={updates} should have reset or be partial"
assert count == 0 or count == cumulative % freq or count < freq, (
f"After run {i}: count={count} should have reset or be partial"
)
else:
assert updates == cumulative, (
f"After run {i}: expected {cumulative}, got {updates}"
assert count == cumulative, (
f"After run {i}: expected {cumulative}, got {count}"
)
@@ -1,140 +0,0 @@
"""ensure_message_ids() assigns stable UUIDs to id=None BaseMessages
before DeltaChannel writes are serialised to the checkpoint.
Without this, the checkpoint stores id=None and every get_state() replay
produces a different UUID the same HumanMessage appears with a different
ID in each LangSmith trace / on every resumed invocation.
"""
from __future__ import annotations
from typing import Annotated, Any
import pytest
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage
from langgraph.checkpoint.memory import InMemorySaver
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import END, START, StateGraph
pytestmark = pytest.mark.anyio
def _append_reducer(
state: list[AnyMessage], writes: list[list[AnyMessage]]
) -> list[AnyMessage]:
"""Simple append — no ID assignment. IDs come from ensure_message_ids()."""
result = list(state)
for w in writes:
if isinstance(w, list):
result.extend(w)
else:
result.append(w) # type: ignore[arg-type]
return result
def _build_graph(checkpointer: Any) -> Any:
State = TypedDict( # noqa: UP013
"State",
{
"messages": Annotated[
list, DeltaChannel(_append_reducer, snapshot_frequency=50)
]
},
) # type: ignore[call-overload]
def agent(state: dict) -> dict:
return {"messages": [AIMessage(content="reply", id="ai-1")]}
return (
StateGraph(State)
.add_node("agent", agent)
.add_edge(START, "agent")
.add_edge("agent", END)
.compile(checkpointer=checkpointer)
)
def test_delta_channel_message_gets_id_and_stays_stable() -> None:
"""Messages written with id=None must receive a stable UUID.
ensure_message_ids() is called in put_writes() before the background
thread serialises DeltaChannel writes. The checkpoint stores the
assigned UUID, so every get_state() replay sees the same ID.
"""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "id-stability"}}
graph.invoke({"messages": [HumanMessage(content="hello")]}, config)
ids = [
next(
m.id
for m in graph.get_state(config).values["messages"]
if isinstance(m, HumanMessage)
)
for _ in range(3)
]
assert ids[0] is not None, "ensure_message_ids should have assigned a UUID"
assert len(set(ids)) == 1, (
f"HumanMessage id must be stable across get_state() calls; "
f"got {ids}. The checkpoint is storing id=None."
)
async def test_delta_channel_message_gets_id_and_stays_stable_async() -> None:
"""Same check via ainvoke (AsyncPregelLoop path)."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "id-stability-async"}}
await graph.ainvoke({"messages": [HumanMessage(content="hello")]}, config)
ids = [
next(
m.id
for m in (await graph.aget_state(config)).values["messages"]
if isinstance(m, HumanMessage)
)
for _ in range(3)
]
assert ids[0] is not None, "ensure_message_ids should have assigned a UUID"
assert len(set(ids)) == 1, (
f"Async path: HumanMessage id unstable across aget_state() calls: {ids}"
)
def test_delta_channel_dict_style_message_gets_stable_id() -> None:
"""Dict-style inputs (API / over-the-wire format) must also get stable IDs.
When the graph is invoked via the LangGraph API the input arrives as a raw
dict {"role": "user", "content": "..."} rather than a BaseMessage object.
ensure_message_ids() must coerce those dicts to typed BaseMessages and
stamp a UUID so the checkpoint never stores an id-less message.
"""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "dict-id-stability"}}
# Invoke with a raw dict (the format LangGraph API sends)
graph.invoke({"messages": [{"role": "user", "content": "hello"}]}, config)
ids = [
next(
m.id
for m in graph.get_state(config).values["messages"]
if isinstance(m, HumanMessage)
)
for _ in range(3)
]
assert ids[0] is not None, (
"dict-style message should have been coerced and assigned a UUID"
)
assert len(set(ids)) == 1, (
f"dict-style HumanMessage id must be stable across get_state() calls; got {ids}"
)
@@ -1,195 +0,0 @@
"""Tests for the supersteps-since-last-snapshot bound on DeltaChannel.
Validates that a delta channel which stops receiving writes is still
force-snapshotted after DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT supersteps,
preventing unbounded ancestor walks.
"""
from typing import Annotated, Any
from unittest.mock import patch
import pytest
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import END, START, StateGraph
from langgraph.pregel._checkpoint import delta_channels_to_snapshot
pytestmark = pytest.mark.anyio
def _simple_reducer(current: list, updates: list) -> list:
"""Flatten updates into current list (each update is itself a list)."""
result = list(current)
for u in updates:
if isinstance(u, list):
result.extend(u)
else:
result.append(u)
return result
def _build_two_channel_graph(
checkpointer: InMemorySaver,
*,
freq_a: int = 10_000,
freq_b: int = 10_000,
n_loops: int = 1,
) -> Any:
"""Graph with two delta channels A and B.
The node only writes to channel A; B is never written by the node.
`n_loops` controls how many supersteps the graph runs (via chained nodes).
"""
ch_a = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_a)
ch_b = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_b)
State = TypedDict( # noqa: UP013
"State",
{"a": Annotated[list, ch_a], "b": Annotated[list, ch_b]},
) # type: ignore[call-overload]
builder = StateGraph(State)
for i in range(n_loops):
name = f"step_{i}"
def node_fn(state: dict, _i: int = i) -> dict:
return {"a": [f"a-val-{_i}"]}
builder.add_node(name, node_fn)
if i == 0:
builder.add_edge(START, name)
else:
builder.add_edge(f"step_{i - 1}", name)
if i == n_loops - 1:
builder.add_edge(name, END)
return builder.compile(checkpointer=checkpointer)
async def test_forced_snapshot_single_run() -> None:
"""A single invoke with enough supersteps triggers snapshot on the
unwritten channel B via the supersteps bound."""
max_ss = 3
with patch(
"langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
max_ss,
):
saver = InMemorySaver()
graph = _build_two_channel_graph(saver, n_loops=4)
config = {"configurable": {"thread_id": "single-run-ss"}}
graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
head = saver.get_tuple(config)
assert head is not None
assert isinstance(head.checkpoint["channel_values"].get("b"), _DeltaSnapshot), (
"Channel B should have been force-snapshotted via supersteps bound"
)
state = graph.get_state(config)
assert state.values["b"] == ["seed-b"]
assert "seed-a" in state.values["a"]
async def test_forced_snapshot_accumulates_across_runs() -> None:
"""Supersteps counter for an unwritten channel persists across separate
invoke() calls. After enough runs, the channel is force-snapshotted."""
max_ss = 5
with patch(
"langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
max_ss,
):
saver = InMemorySaver()
graph = _build_two_channel_graph(saver, n_loops=1)
config = {"configurable": {"thread_id": "multi-run-ss"}}
graph.invoke({"a": ["init-a"], "b": ["init-b"]}, config)
for i in range(1, 6):
graph.invoke({"a": [f"run-{i}"]}, config)
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
b_counters = counters.get("b", (0, 0))
if b_counters == (0, 0):
assert isinstance(
head.checkpoint["channel_values"].get("b"), _DeltaSnapshot
), f"Run {i}: counter reset but no snapshot blob for B"
break
else:
pytest.fail("Channel B was never force-snapshotted after multiple runs")
state = graph.get_state(config)
assert state.values["b"] == ["init-b"]
assert "init-a" in state.values["a"]
async def test_predicate_fires_on_supersteps_overflow() -> None:
"""Unit test: delta_channels_to_snapshot fires when supersteps >= MAX
even when updates == 0."""
ch = DeltaChannel(_simple_reducer, list, snapshot_frequency=10_000)
ch.key = "x"
ch_instance = ch.from_checkpoint(None)
channels = {"x": ch_instance}
counters: dict[str, tuple[int, int]] = {"x": (0, 5000)}
result = delta_channels_to_snapshot(channels, counters)
assert "x" in result
counters_below: dict[str, tuple[int, int]] = {"x": (0, 4999)}
result2 = delta_channels_to_snapshot(channels, counters_below)
assert "x" not in result2
async def test_counter_reset_after_supersteps_snapshot() -> None:
"""After the supersteps bound triggers a snapshot, the counters for
that channel reset. Verify by using a bound higher than one run's
supersteps so we can see the counter in an intermediate state."""
max_ss = 15
with patch(
"langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
max_ss,
):
saver = InMemorySaver()
graph = _build_two_channel_graph(saver, n_loops=4)
config = {"configurable": {"thread_id": "counter-reset"}}
graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
head = saver.get_tuple(config)
assert head is not None
counters = head.metadata.get("counters_since_delta_snapshot", {})
b_counters = counters.get("b", (0, 0))
run1_supersteps = b_counters[1]
assert run1_supersteps > 0, "Should have some supersteps"
assert b_counters[0] == 1, "B written once (input step)"
graph.invoke({"a": ["more-a"]}, config)
head2 = saver.get_tuple(config)
assert head2 is not None
counters2 = head2.metadata.get("counters_since_delta_snapshot", {})
b_counters2 = counters2.get("b", (0, 0))
run2_supersteps = b_counters2[1]
assert run2_supersteps > run1_supersteps, "Supersteps should accumulate"
assert b_counters2[0] == 1, "B written once total (only original input)"
graph.invoke({"a": ["even-more"]}, config)
head3 = saver.get_tuple(config)
assert head3 is not None
assert isinstance(
head3.checkpoint["channel_values"].get("b"), _DeltaSnapshot
), "B should have snapshotted at supersteps >= max_ss"
counters3 = head3.metadata.get("counters_since_delta_snapshot", {})
b_counters3 = counters3.get("b", (0, 0))
assert b_counters3[1] < max_ss, (
f"After snapshot, supersteps should have reset, got {b_counters3}"
)
state = graph.get_state(config)
assert state.values["b"] == ["seed-b"]
+1 -523
View File
@@ -15,7 +15,7 @@ from langchain_core.callbacks import AsyncCallbackManagerForLLMRun, BaseCallback
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnableParallel
from langchain_core.runnables import RunnableLambda, RunnableParallel
from langgraph.checkpoint.memory import InMemorySaver, MemorySaver
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from typing_extensions import TypedDict
@@ -2280,525 +2280,3 @@ def test_node_without_error_handler_still_fails_run():
with pytest.raises(ValueError, match="no handler"):
graph.invoke({"foo": ""})
# ---------------------------------------------------------------------------
# set_node_defaults()
# ---------------------------------------------------------------------------
def test_set_node_defaults_error_handler_catches_all_nodes():
class State(TypedDict):
route: str
foo: Annotated[list[str], operator.add]
def route_node(state: State) -> Command:
return Command(goto=state["route"])
def fail_a(state: State) -> State:
raise RuntimeError("a failed")
def fail_b(state: State) -> State:
raise RuntimeError("b failed")
captured: dict[str, list[str]] = {"nodes": []}
def default_handler(state: State, error: NodeError) -> State:
captured["nodes"].append(error.node)
return {"foo": [f"handled_{error.node}"]}
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("route_node", route_node)
.add_node("fail_a", fail_a)
.add_node("fail_b", fail_b)
.add_edge(START, "route_node")
.add_conditional_edges(
"route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
)
.compile()
)
result_a = graph.invoke({"route": "fail_a", "foo": []})
result_b = graph.invoke({"route": "fail_b", "foo": []})
assert result_a["foo"] == ["handled_fail_a"]
assert result_b["foo"] == ["handled_fail_b"]
assert "fail_a" in captured["nodes"]
assert "fail_b" in captured["nodes"]
def test_set_node_defaults_error_handler_overridden_by_node_handler():
class State(TypedDict):
route: str
foo: Annotated[list[str], operator.add]
def route_node(state: State) -> Command:
return Command(goto=state["route"])
def fail_a(state: State) -> State:
raise RuntimeError("a failed")
def fail_b(state: State) -> State:
raise RuntimeError("b failed")
captured: dict[str, list[str]] = {"handler": []}
def node_handler(state: State, error: NodeError) -> State:
captured["handler"].append(f"node:{error.node}")
return {"foo": [f"node_handled_{error.node}"]}
def default_handler(state: State, error: NodeError) -> State:
captured["handler"].append(f"default:{error.node}")
return {"foo": [f"default_handled_{error.node}"]}
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("route_node", route_node)
.add_node("fail_a", fail_a, error_handler=node_handler)
.add_node("fail_b", fail_b)
.add_edge(START, "route_node")
.add_conditional_edges(
"route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
)
.compile()
)
result_a = graph.invoke({"route": "fail_a", "foo": []})
assert result_a["foo"] == ["node_handled_fail_a"]
assert "node:fail_a" in captured["handler"]
assert "default:fail_a" not in captured["handler"]
result_b = graph.invoke({"route": "fail_b", "foo": []})
assert result_b["foo"] == ["default_handled_fail_b"]
assert "default:fail_b" in captured["handler"]
def test_set_node_defaults_error_handler_skips_per_node_handler_nodes():
"""If a per-node error handler itself raises, the default handler must NOT
catch it -- the run should fail."""
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("node boom")
def broken_handler(state: State, error: NodeError) -> State:
raise RuntimeError("handler boom")
def default_handler(state: State, error: NodeError) -> State:
return {"foo": "default recovered"}
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("always_failing", always_failing, error_handler=broken_handler)
.add_edge(START, "always_failing")
.compile()
)
with pytest.raises(RuntimeError, match="handler boom"):
graph.invoke({"foo": ""})
def test_set_node_defaults_error_handler_failure_fails_run():
"""When the default handler itself raises, the run fails (no infinite
recursion, no double-routing)."""
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("node boom")
def broken_default_handler(state: State, error: NodeError) -> State:
raise RuntimeError("default handler boom")
graph = (
StateGraph(State)
.set_node_defaults(error_handler=broken_default_handler)
.add_node("always_failing", always_failing)
.add_edge(START, "always_failing")
.compile()
)
with pytest.raises(RuntimeError, match="default handler boom"):
graph.invoke({"foo": ""})
def test_set_node_defaults_error_handler_receives_runnable_config():
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("boom")
captured: dict[str, Any] = {}
def default_handler(
state: State, error: NodeError, config: RunnableConfig
) -> State:
captured["thread_id"] = config["configurable"].get("thread_id")
return {"foo": "handled"}
checkpointer = MemorySaver()
graph = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("always_failing", always_failing)
.add_edge(START, "always_failing")
.compile(checkpointer=checkpointer)
)
thread_id = str(uuid4())
result = graph.invoke(
{"foo": ""}, config={"configurable": {"thread_id": thread_id}}
)
assert result["foo"] == "handled"
assert captured["thread_id"] == thread_id
def test_set_node_defaults_error_handler_collides_with_user_node():
class State(TypedDict):
foo: str
def default_handler(state: State, error: NodeError) -> State:
return {"foo": "handled"}
builder = (
StateGraph(State)
.set_node_defaults(error_handler=default_handler)
.add_node("__default_error_handler__", lambda s: s)
.add_edge(START, "__default_error_handler__")
)
with pytest.raises(ValueError, match="__default_error_handler__"):
builder.compile()
def test_set_node_defaults_retry_policy():
class State(TypedDict):
foo: str
attempts = 0
def flaky_node(state: State) -> State:
nonlocal attempts
attempts += 1
if attempts < 3:
raise ValueError("not yet")
return {"foo": "ok"}
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=3, initial_interval=0.01, jitter=False, retry_on=ValueError
)
)
.add_node("flaky", flaky_node)
.add_edge(START, "flaky")
.compile()
)
with patch("time.sleep"):
result = graph.invoke({"foo": ""})
assert result["foo"] == "ok"
assert attempts == 3
def test_set_node_defaults_retry_policy_per_node_wins():
class State(TypedDict):
foo: str
attempts = 0
def flaky_node(state: State) -> State:
nonlocal attempts
attempts += 1
if attempts < 2:
raise ValueError("not yet")
return {"foo": "ok"}
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=1, initial_interval=0.01, jitter=False, retry_on=ValueError
)
)
.add_node(
"flaky",
flaky_node,
retry_policy=RetryPolicy(
max_attempts=3,
initial_interval=0.01,
jitter=False,
retry_on=ValueError,
),
)
.add_edge(START, "flaky")
.compile()
)
with patch("time.sleep"):
result = graph.invoke({"foo": ""})
assert result["foo"] == "ok"
assert attempts == 2
@pytest.mark.anyio
async def test_set_node_defaults_timeout():
class State(TypedDict):
foo: str
async def slow_node(state: State) -> State:
await asyncio.sleep(10)
return {"foo": "should-not-happen"}
graph = (
StateGraph(State)
.set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.05))
.add_node("slow", slow_node)
.add_edge(START, "slow")
.compile()
)
from langgraph.errors import NodeTimeoutError
with pytest.raises(NodeTimeoutError):
await graph.ainvoke({"foo": ""})
@pytest.mark.anyio
async def test_set_node_defaults_timeout_per_node_wins():
"""Per-node timeout overrides the default; a generous per-node timeout
allows a node to complete even when the builder default is very short."""
class State(TypedDict):
foo: str
async def quick_node(state: State) -> State:
await asyncio.sleep(0.05)
return {"foo": "done"}
graph = (
StateGraph(State)
.set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.01))
.add_node("quick", quick_node, timeout=TimeoutPolicy(run_timeout=5.0))
.add_edge(START, "quick")
.compile()
)
result = await graph.ainvoke({"foo": ""})
assert result["foo"] == "done"
def test_set_node_defaults_chaining():
"""set_node_defaults() is chainable and can be called in any order relative to add_node."""
class State(TypedDict):
foo: str
def always_failing(state: State) -> State:
raise RuntimeError("boom")
def handler(state: State, error: NodeError) -> State:
return {"foo": "handled"}
graph = (
StateGraph(State)
.add_node("a", always_failing)
.add_edge(START, "a")
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=1, initial_interval=0.01, jitter=False
),
error_handler=handler,
)
.compile()
)
result = graph.invoke({"foo": ""})
assert result["foo"] == "handled"
def test_set_node_defaults_combined_retry_and_error_handler():
"""Retries are exhausted first, then the error handler runs."""
class State(TypedDict):
foo: str
attempts = 0
captured: dict[str, Any] = {}
def always_failing(state: State) -> State:
nonlocal attempts
attempts += 1
raise ValueError("Always fails")
def handler(state: State, error: NodeError) -> State:
captured["error"] = str(error.error)
return {"foo": "handled"}
graph = (
StateGraph(State)
.set_node_defaults(
retry_policy=RetryPolicy(
max_attempts=2,
initial_interval=0.01,
jitter=False,
retry_on=ValueError,
),
error_handler=handler,
)
.add_node("fail", always_failing)
.add_edge(START, "fail")
.compile()
)
with patch("time.sleep"):
result = graph.invoke({"foo": ""})
assert result["foo"] == "handled"
assert attempts == 2
assert captured["error"] == "Always fails"
def test_error_handler_resumes_after_crash():
"""If the error handler crashes, resuming should re-schedule the handler
(not re-execute the original failed node)."""
class State(TypedDict):
foo: str
call_count = {"node": 0, "handler": 0}
captured_errors: list[NodeError] = []
def failing_node(state: State) -> State:
call_count["node"] += 1
raise RuntimeError("boom")
handler_should_fail = [True]
def handler(state: State, error: NodeError) -> State:
call_count["handler"] += 1
captured_errors.append(error)
if handler_should_fail[0]:
raise RuntimeError("handler crash")
return {"foo": "recovered"}
checkpointer = MemorySaver()
graph = (
StateGraph(State)
.set_node_defaults(error_handler=handler)
.add_node("fail", failing_node)
.add_edge(START, "fail")
.compile(checkpointer=checkpointer)
)
config = {"configurable": {"thread_id": "t1"}}
# First invoke: node fails -> handler runs -> handler crashes -> run fails
with pytest.raises(RuntimeError, match="handler crash"):
graph.invoke({"foo": ""}, config)
assert call_count["node"] == 1
assert call_count["handler"] == 1
assert captured_errors[0].node == "fail"
assert isinstance(captured_errors[0].error, RuntimeError)
assert str(captured_errors[0].error) == "boom"
# Resume: handler should run again, NOT the original node
handler_should_fail[0] = False
result = graph.invoke(None, config)
assert result["foo"] == "recovered"
assert call_count["node"] == 1 # NOT re-executed
assert call_count["handler"] == 2 # ran again on resume
# on resume the error was round-tripped through the checkpointer, so it
# may be deserialized as a string representation rather than the original
# exception type — verify the node name and that the error content matches.
assert captured_errors[1].node == "fail"
assert "boom" in str(captured_errors[1].error)
def test_error_handler_resumes_after_crash_multiple_nodes():
"""When multiple nodes fail in the same superstep and all have error handlers:
- error handlers start running while other nodes may still be in-flight
- resuming re-schedules each handler (not re-executes the original nodes)
"""
class State(TypedDict):
results: Annotated[list[str], operator.add]
call_count = {"a": 0, "b": 0, "handler_a": 0, "handler_b": 0}
handler_a_started = threading.Event()
def node_a(state: State) -> State:
call_count["a"] += 1
raise RuntimeError("a failed")
def node_b(state: State) -> State:
call_count["b"] += 1
# Block until handler_a has started — proves the error handler runs
# concurrently with in-flight nodes in the same superstep.
assert handler_a_started.wait(timeout=5), "handler_a never started"
raise RuntimeError("b failed")
handler_should_fail = [True]
def handler_a(state: State, error: NodeError) -> State:
call_count["handler_a"] += 1
assert error.node == "a"
assert "a failed" in str(error.error)
handler_a_started.set()
if handler_should_fail[0]:
raise RuntimeError("handler_a crash")
return {"results": [f"recovered_a:{error.node}"]}
def handler_b(state: State, error: NodeError) -> State:
call_count["handler_b"] += 1
assert error.node == "b"
assert "b failed" in str(error.error)
if handler_should_fail[0]:
raise RuntimeError("handler_b crash")
return {"results": [f"recovered_b:{error.node}"]}
checkpointer = MemorySaver()
graph = (
StateGraph(State)
.add_node("a", node_a, error_handler=handler_a)
.add_node("b", node_b, error_handler=handler_b)
.add_edge(START, "a")
.add_edge(START, "b")
.compile(checkpointer=checkpointer)
)
config = {"configurable": {"thread_id": "t1"}}
# First invoke: node_a fails immediately -> handler_a starts (sets event) ->
# node_b unblocks and fails -> handler_b starts -> both handlers crash
with pytest.raises(RuntimeError):
graph.invoke({"results": []}, config)
assert call_count["a"] == 1
assert call_count["b"] == 1
assert call_count["handler_a"] == 1
assert call_count["handler_b"] == 1
# Resume: both handlers should run again, NOT the original nodes
handler_should_fail[0] = False
handler_a_started.clear()
result = graph.invoke(None, config)
assert call_count["a"] == 1 # NOT re-executed
assert call_count["b"] == 1 # NOT re-executed
assert call_count["handler_a"] == 2 # ran again on resume
assert call_count["handler_b"] == 2 # ran again on resume
assert "recovered_a:a" in result["results"]
assert "recovered_b:b" in result["results"]
@@ -1,296 +0,0 @@
"""Tests for `StreamTransformer.before_builtins` lane ordering.
`before_builtins = True` transformers are registered ahead of the
rest, preserving relative order within each lane. This lets
content-mutating transformers run before built-ins like
`MessagesTransformer` that eagerly snapshot text fields into their
projections.
"""
from __future__ import annotations
import time
from typing import Any, ClassVar
from langgraph.stream._mux import StreamMux
from langgraph.stream._types import StreamTransformer
from langgraph.stream.stream_channel import StreamChannel
from langgraph.stream.transformers import (
LifecycleTransformer,
MessagesTransformer,
TasksTransformer,
)
TS = int(time.time() * 1000)
def _messages_event(namespace: list[str], data: Any) -> dict[str, Any]:
return {
"type": "event",
"method": "messages",
"params": {"namespace": namespace, "timestamp": TS, "data": data},
}
class _Tap(StreamTransformer):
"""Records the order it observed each event."""
required_stream_modes: ClassVar[tuple[str, ...]] = ()
def __init__(self, scope: tuple[str, ...] = (), *, label: str = "tap") -> None:
super().__init__(scope)
self.label = label
self.log: list[str] = []
self._channel: StreamChannel[str] = StreamChannel()
def init(self) -> dict[str, Any]:
return {f"tap_{self.label}": self._channel}
def process(self, event: dict[str, Any]) -> bool:
self.log.append(self.label)
return True
class _PreTap(_Tap):
before_builtins: ClassVar[bool] = True
class _TextRedactor(StreamTransformer):
"""Mutates `text-delta` events in place to a fixed redacted string."""
before_builtins: ClassVar[bool] = True
required_stream_modes: ClassVar[tuple[str, ...]] = ("messages",)
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope)
self._channel: StreamChannel[str] = StreamChannel()
def init(self) -> dict[str, Any]:
return {"redactor": self._channel}
def process(self, event: dict[str, Any]) -> bool:
if event.get("method") != "messages":
return True
payload, _meta = event["params"]["data"]
if isinstance(payload, dict) and payload.get("event") == "content-block-delta":
delta = payload.get("delta") or {}
if delta.get("type") == "text-delta":
delta["text"] = "[REDACTED]"
return True
def test_before_builtins_factories_run_before_others() -> None:
"""A `before_builtins=True` factory is registered ahead of the rest."""
seen: list[type[StreamTransformer]] = []
class _PostTap(_Tap):
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope, label="post")
def process(self, event: dict[str, Any]) -> bool:
seen.append(_PostTap)
return True
class _EagerTap(_Tap):
before_builtins: ClassVar[bool] = True
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope, label="eager")
def process(self, event: dict[str, Any]) -> bool:
seen.append(_EagerTap)
return True
mux = StreamMux(
factories=[_PostTap, _EagerTap],
scope=(),
is_async=False,
)
# `_EagerTap` was supplied second but should be registered first.
types_in_order = [type(t) for t in mux._transformers]
assert types_in_order.index(_EagerTap) < types_in_order.index(_PostTap)
mux.push(
_messages_event([], ({"event": "message-start", "role": "ai", "id": "m1"}, {}))
)
# And it ran first when the event was dispatched.
assert seen == [_EagerTap, _PostTap]
def test_within_lane_order_preserved() -> None:
"""Within each lane, the supplied order is the registration order."""
class _A(_PreTap):
pass
class _B(_PreTap):
pass
class _C(_Tap):
pass
class _D(_Tap):
pass
mux = StreamMux(
factories=[
lambda scope: _C(scope, label="c"),
lambda scope: _A(scope, label="a"),
lambda scope: _D(scope, label="d"),
lambda scope: _B(scope, label="b"),
],
scope=(),
is_async=False,
)
order = [t.label for t in mux._transformers] # type: ignore[attr-defined]
# Pre lane (a, b) ahead of default lane (c, d). Within each, supplied order kept.
assert order == ["a", "b", "c", "d"]
def test_redactor_runs_before_messages_transformer() -> None:
"""Content mutated by a pre-lane transformer reaches `MessagesTransformer`."""
# Order supplied: built-ins first (as in pregel/main.py), then the
# opt-in pre-lane redactor. Partitioning should still register the
# redactor first.
mux = StreamMux(
factories=[MessagesTransformer, _TextRedactor],
scope=(),
is_async=False,
)
types_in_order = [type(t) for t in mux._transformers]
assert types_in_order.index(_TextRedactor) < types_in_order.index(
MessagesTransformer
)
def test_lifecycle_unaffected_by_pre_lane_observer() -> None:
"""An observer-only pre-lane transformer doesn't break lifecycle bookkeeping."""
class _NoopPreObserver(StreamTransformer):
before_builtins: ClassVar[bool] = True
required_stream_modes: ClassVar[tuple[str, ...]] = ("tasks",)
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope)
self._channel: StreamChannel[str] = StreamChannel()
self.seen: list[tuple[str, ...]] = []
def init(self) -> dict[str, Any]:
return {"noop_observer": self._channel}
def process(self, event: dict[str, Any]) -> bool:
if event.get("method") == "tasks":
self.seen.append(tuple(event["params"]["namespace"]))
return True
mux = StreamMux(
factories=[LifecycleTransformer, TasksTransformer, _NoopPreObserver],
scope=(),
is_async=False,
)
types_in_order = [type(t) for t in mux._transformers]
assert types_in_order.index(_NoopPreObserver) < types_in_order.index(
LifecycleTransformer
)
observer = next(t for t in mux._transformers if isinstance(t, _NoopPreObserver))
lifecycle = next(
t for t in mux._transformers if isinstance(t, LifecycleTransformer)
)
# Push a synthetic `tasks` event that lifecycle would normally track.
mux.push(
{
"type": "event",
"method": "tasks",
"params": {
"namespace": ["child:abc"],
"timestamp": TS,
"data": {"name": "child"},
},
}
)
# Pre-lane observer saw the event, AND lifecycle's bookkeeping still
# registered the new namespace (the observer didn't mutate anything).
assert observer.seen == [("child:abc",)]
assert ("child:abc",) in lifecycle._seen # type: ignore[attr-defined]
def test_default_is_false() -> None:
"""`StreamTransformer.before_builtins` defaults to False."""
assert StreamTransformer.before_builtins is False
assert MessagesTransformer.before_builtins is False
assert LifecycleTransformer.before_builtins is False
def test_pre_lane_mutation_lands_in_messages_projection() -> None:
"""End-to-end: text mutated by a pre-lane transformer is what
`MessagesTransformer` snapshots into its `ChatModelStream` projection.
Without `before_builtins`, the redactor would run after
MessagesTransformer's eager extraction and the projection would
contain the raw, un-redacted text.
"""
mux = StreamMux(
factories=[MessagesTransformer, _TextRedactor],
scope=(),
is_async=False,
)
messages_transformer = next(
t for t in mux._transformers if isinstance(t, MessagesTransformer)
)
# Unblock both the mux's main log and the messages projection log so
# synthetic pushes are accepted without a real consumer attached.
mux._events._subscribed = True
messages_transformer._log._subscribed = True
meta = {"langgraph_node": "model", "run_id": "run-1"}
# message-start → MessagesTransformer creates a ChatModelStream.
mux.push(
_messages_event(
[],
({"event": "message-start", "role": "ai", "id": "msg-1"}, meta),
)
)
# content-block-delta carrying the secret. The redactor (pre-lane)
# mutates `delta.text` BEFORE MessagesTransformer snapshots it.
mux.push(
_messages_event(
[],
(
{
"event": "content-block-delta",
"index": 0,
"delta": {"type": "text-delta", "text": "secret@example.com"},
},
meta,
),
)
)
# Capture the still-open stream before message-finish removes it from
# MessagesTransformer's `_by_run` dict.
chat_stream = messages_transformer._by_run["run-1"] # type: ignore[attr-defined]
# message-finish → closes the stream.
mux.push(
_messages_event(
[],
({"event": "message-finish"}, meta),
)
)
# The redactor mutated `delta.text` to "[REDACTED]" before
# MessagesTransformer snapshotted the string into the text
# accumulator. Without `before_builtins`, the accumulator would hold
# the raw "secret@example.com".
assert chat_stream._text_acc == "[REDACTED]", ( # type: ignore[attr-defined]
f"expected redacted text in projection, got {chat_stream._text_acc!r}"
)
@@ -12,7 +12,7 @@ from langchain_core.language_models.chat_model_stream import (
AsyncChatModelStream,
ChatModelStream,
)
from langchain_core.messages import AIMessage, AIMessageChunk, ToolMessage
from langchain_core.messages import AIMessage, AIMessageChunk
from langchain_core.runnables import RunnableConfig
from typing_extensions import TypedDict
@@ -213,23 +213,6 @@ class TestProtocolEventRouting:
log.close()
assert _unstamped(log._items) == []
def test_tool_role_protocol_events_are_ignored(self) -> None:
t, log = _make_sync_transformer()
for evt in [
{"event": "message-start", "role": "tool", "message_id": "tool-msg-1"},
{
"event": "content-block-delta",
"index": 0,
"content_block": {"type": "text", "text": "[]"},
},
{"event": "message-finish", "reason": "stop"},
]:
t.process(_proto_event(evt, run_id="tool-run"))
log.close()
assert _unstamped(log._items) == []
assert t._ignored_runs == set()
def test_concurrent_streams_routed_by_run_id(self) -> None:
t, log = _make_sync_transformer()
life_a = _lifecycle(text="aaaa", message_id="run-a")
@@ -290,29 +273,6 @@ class TestWholeMessageFallback:
assert stream.done
assert stream.output.text == "the full answer"
def test_whole_tool_message_is_ignored(self) -> None:
t, log = _make_sync_transformer()
t.process(
{
"type": "event",
"method": "messages",
"params": {
"namespace": [],
"timestamp": TS,
"data": (
ToolMessage(
content="[]",
id="tool-msg-1",
tool_call_id="call_1",
),
{"langgraph_node": "tools"},
),
},
}
)
log.close()
assert _unstamped(log._items) == []
def test_whole_message_has_full_lifecycle(self) -> None:
t, log = _make_sync_transformer()
t.process(_whole_msg("full"))
@@ -889,23 +849,6 @@ class TestStreamMessagesHandlerV2Unit:
assert emitted == []
def test_on_chain_end_does_not_emit_tool_messages(self) -> None:
from uuid import uuid4
from langgraph.pregel._messages import StreamMessagesHandlerV2
emitted: list[Any] = []
handler = StreamMessagesHandlerV2(emitted.append, subgraphs=False)
run_id = uuid4()
handler.metadata[run_id] = ((), {"langgraph_node": "tools"})
handler.on_chain_end(
{"messages": [ToolMessage(content="[]", tool_call_id="call_1")]},
run_id=run_id,
)
assert emitted == []
def test_on_llm_end_dedupes_when_final_message_id_differs(self) -> None:
"""A streamed v2 message should not be emitted again from the final
AIMessage fallback when its final id does not match `message-start`."""
+27 -92
View File
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[[package]]
@@ -1350,7 +1350,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.4.0a2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -1363,26 +1363,26 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
name = "langgraph"
version = "1.2.2"
version = "1.2.0a7"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -1454,7 +1454,7 @@ test = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.4.0,<2" },
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "langgraph-prebuilt", editable = "../prebuilt" },
{ name = "langgraph-sdk", editable = "../sdk-py" },
@@ -1563,7 +1563,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.1"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -1611,7 +1611,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.0"
version = "3.1.0a4"
source = { editable = "../checkpoint-postgres" }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -1658,7 +1658,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
source = { editable = "../checkpoint-sqlite" }
dependencies = [
{ name = "aiosqlite" },
@@ -1721,7 +1721,7 @@ inmem = [
requires-dist = [
{ name = "click", specifier = ">=8.1.7" },
{ name = "httpx", specifier = ">=0.24.0" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.10.0" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.9.0" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
{ name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
{ name = "pathspec", specifier = ">=0.11.0" },
@@ -1757,7 +1757,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.1.0"
version = "1.1.0a2"
source = { editable = "../prebuilt" }
dependencies = [
{ name = "langchain-core" },
@@ -1828,19 +1828,13 @@ name = "langgraph-sdk"
source = { editable = "../sdk-py" }
dependencies = [
{ name = "httpx" },
{ name = "langchain-core" },
{ name = "langchain-protocol" },
{ name = "orjson" },
{ name = "websockets" },
]
[package.metadata]
requires-dist = [
{ name = "httpx", specifier = ">=0.25.2" },
{ name = "langchain-core", specifier = ">=1.4.0,<2" },
{ name = "langchain-protocol", specifier = ">=0.0.15" },
{ name = "orjson", specifier = ">=3.11.5" },
{ name = "websockets", specifier = ">=14,<16" },
]
[package.metadata.requires-dev]
@@ -1855,14 +1849,14 @@ dev = [
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
lint = [
{ name = "codespell" },
{ name = "mypy", specifier = "==1.20.2" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
test = [
{ name = "pytest" },
@@ -1873,7 +1867,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.0"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
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{ name = "zstandard" },
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[[package]]
name = "widgetsnbextension"
version = "4.0.15"
@@ -5,42 +5,12 @@ from __future__ import annotations
from collections.abc import Awaitable, Callable
from typing import Any
from langchain_core.messages import ToolMessage
from langgraph.stream._types import ProtocolEvent, StreamTransformer
from langgraph.stream.stream_channel import StreamChannel
from langgraph.prebuilt._tool_call_stream import ToolCallStream
def _is_serialized_tool_message(value: Any) -> bool:
"""Detect a serialized LangChain `ToolMessage` payload.
Example:
{
"lc": 1,
"type": "constructor",
"id": ["langchain_core", "messages", "ToolMessage"],
"kwargs": {"content": "raw tool result", "tool_call_id": "call_1"},
}
"""
return (
isinstance(value, dict)
and value.get("type") == "constructor"
and isinstance(value.get("id"), list)
and value["id"][-1] == "ToolMessage"
)
def _normalize_tool_output(output: Any) -> Any:
if isinstance(output, ToolMessage):
return output.content
if _is_serialized_tool_message(output):
kwargs = output.get("kwargs")
if isinstance(kwargs, dict):
return kwargs.get("content")
return output
class ToolCallTransformer(StreamTransformer):
"""Project `tools` channel events into `ToolCallStream` handles.
@@ -139,7 +109,7 @@ class ToolCallTransformer(StreamTransformer):
elif event_type == "tool-finished":
stream = self._active.pop(tool_call_id, None)
if stream is not None:
stream._finish(_normalize_tool_output(data.get("output")))
stream._finish(data.get("output"))
elif event_type == "tool-error":
stream = self._active.pop(tool_call_id, None)
if stream is not None:
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "1.1.0"
version = "1.1.0a2"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.10"
@@ -6,7 +6,7 @@ import time
from typing import Annotated, Any
import pytest
from langchain_core.messages import AIMessage, ToolMessage
from langchain_core.messages import AIMessage
from langchain_core.tools import tool
from langgraph.constants import END, START
from langgraph.graph import StateGraph
@@ -128,42 +128,6 @@ class TestToolCallTransformerUnit:
assert stream.error is None
assert "tc1" not in transformer._active
def test_finish_unwraps_tool_message_output(self) -> None:
mux, transformer = _mux()
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
stream = transformer._active["tc1"]
mux.push(
_tool_event(
"tool-finished",
"tc1",
output=ToolMessage(content="done", tool_call_id="tc1"),
)
)
assert stream.completed is True
assert stream.output == "done"
def test_finish_unwraps_serialized_tool_message_output(self) -> None:
mux, transformer = _mux()
mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
stream = transformer._active["tc1"]
mux.push(
_tool_event(
"tool-finished",
"tc1",
output={
"lc": 1,
"type": "constructor",
"id": ["langchain_core", "messages", "ToolMessage"],
"kwargs": {
"content": "serialized done",
"tool_call_id": "tc1",
},
},
)
)
assert stream.completed is True
assert stream.output == "serialized done"
def test_error_closes_stream(self) -> None:
mux, transformer = _mux()
mux.push(_tool_event("tool-started", "tc1", tool_name="boom"))
+23 -88
View File
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{ name = "uuid-utils" },
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[[package]]
name = "langgraph"
version = "1.2.2"
version = "1.2.0a7"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -298,7 +298,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=1.4.0,<2" },
{ name = "langchain-core", specifier = ">=1.4.0a2,<2" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "langgraph-prebuilt", editable = "." },
{ name = "langgraph-sdk", editable = "../sdk-py" },
@@ -369,7 +369,7 @@ test = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.1"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -417,7 +417,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.1.0"
version = "3.1.0a4"
source = { editable = "../checkpoint-postgres" }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -464,7 +464,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
source = { editable = "../checkpoint-sqlite" }
dependencies = [
{ name = "aiosqlite" },
@@ -507,7 +507,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "1.1.0"
version = "1.1.0a2"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -597,19 +597,13 @@ name = "langgraph-sdk"
source = { editable = "../sdk-py" }
dependencies = [
{ name = "httpx" },
{ name = "langchain-core" },
{ name = "langchain-protocol" },
{ name = "orjson" },
{ name = "websockets" },
]
[package.metadata]
requires-dist = [
{ name = "httpx", specifier = ">=0.25.2" },
{ name = "langchain-core", specifier = ">=1.4.0,<2" },
{ name = "langchain-protocol", specifier = ">=0.0.15" },
{ name = "orjson", specifier = ">=3.11.5" },
{ name = "websockets", specifier = ">=14,<16" },
]
[package.metadata.requires-dev]
@@ -624,14 +618,14 @@ dev = [
{ name = "pytest-watch" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
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{ name = "mypy", specifier = "==1.20.2" },
{ name = "ruff", specifier = "==0.15.12" },
{ name = "starlette" },
{ name = "ty", specifier = "==0.0.33" },
{ name = "ty", specifier = "==0.0.23" },
]
test = [
{ name = "pytest" },
@@ -642,7 +636,7 @@ test = [
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[[package]]
name = "xxhash"
version = "3.6.0"
-48
View File
@@ -1,48 +0,0 @@
# Changelog
## Unreleased
### Added
- **Thread-centric streaming (v3)**`client.threads.stream()` returns an
`AsyncThreadStream` (or `SyncThreadStream`) context manager that owns one
SSE or WebSocket connection for the lifetime of a thread session.
- **Typed projections**`thread.messages`, `thread.tool_calls`,
`thread.values`, and `thread.extensions[name]` all share the same underlying
transport connection. Iterating multiple projections concurrently expands the
server-side filter union without opening additional connections.
- **Scoped subgraph handles**`thread.subgraphs` (alias `thread.subagents`)
yields one `ScopedStreamHandle` per direct child invocation, each exposing
`.messages`, `.tool_calls`, and `.subgraphs` scoped to that namespace.
- **WebSocket transport** — pass `transport="websocket"` to
`client.threads.stream()` to use a WebSocket connection instead of SSE
(async client only).
- **Automatic reconnect** — the shared SSE fan-out and the lifecycle watcher
both reconnect on transport drops, replaying missed events via a `since`
cursor and deduplicating by `event_id`.
- **`thread.agent.get_tree()`** — fetches the assistant graph definition for
the current session's `assistant_id` with optional `xray` depth control.
- **`thread.run.respond()`** — resumes a run after a server-side interrupt,
resolving the outstanding `InterruptPayload` by `interrupt_id`.
- **`thread.output`** — awaitable that resolves to the terminal thread state
`values` dict after the run lifecycle completes.
### Changed
- `client.threads.stream()` now accepts `transport="sse"` (default) or
`transport="websocket"` in place of the previous transport-agnostic default.
### Notes
- The v3 streaming surface (`AsyncThreadStream`, `SyncThreadStream`, and all
projection classes) is **new** in this release. The existing
`client.runs.stream()` (v2) surface is unchanged and remains fully supported.
- `thread_id` is minted client-side (UUIDv4) when not provided; the server
creates the thread row lazily on the first `run.start`.
-118
View File
@@ -1,118 +0,0 @@
# Migration Guide: v2 → v3 Streaming
`client.runs.stream()` (v2) remains fully supported. This guide covers how to
adopt the new `client.threads.stream()` (v3) surface when you want typed
projections, shared SSE fan-out, or WebSocket transport.
## Minimal before/after
**v2 — `client.runs.stream()`**
```python
from langgraph_sdk import get_client
client = get_client()
thread = await client.threads.create()
async for chunk in client.runs.stream(
thread["thread_id"],
"agent",
input={"messages": [{"role": "user", "content": "hello"}]},
stream_mode="messages",
):
print(chunk.event, chunk.data)
```
**v3 — `client.threads.stream()`**
```python
from langgraph_sdk import get_client
import asyncio
client = get_client()
async with client.threads.stream(assistant_id="agent") as thread:
await thread.run.start(input={"messages": [{"role": "user", "content": "hello"}]})
async for stream in thread.messages:
print(await stream.text)
```
## Key differences
| | v2 `client.runs.stream()` | v3 `client.threads.stream()` |
|---|---|---|
| Thread creation | Explicit `client.threads.create()` | Lazy (minted client-side if omitted) |
| Connection per run | Yes | No — shared SSE for the session |
| Typed projections | No (raw `StreamPart`) | Yes (`messages`, `tool_calls`, `values`, …) |
| Subgraph streaming | Not supported | `thread.subgraphs` / `thread.subagents` |
| WebSocket transport | No | Yes (`transport="websocket"`, async only) |
| Interrupt handling | Manual polling | `thread.interrupted` / `thread.run.respond()` |
| Terminal state | Included in stream | `await thread.output` |
## Reattaching to an existing thread
```python
async with client.threads.stream(
thread_id="existing-thread-id",
assistant_id="agent",
) as thread:
# If the run already completed, thread.output resolves immediately.
result = await thread.output
```
## Consuming multiple projections concurrently
All projections share one SSE connection. Use `asyncio.gather` (or
`asyncio.TaskGroup`) to start multiple consumers before any single projection
has finished — the fan-out task routes events to all subscribers in parallel.
```python
async with client.threads.stream(assistant_id="agent") as thread:
await thread.run.start(input={"messages": [{"role": "user", "content": "hi"}]})
async def collect_messages():
return [s async for s in thread.messages]
async def collect_tool_calls():
return [c async for c in thread.tool_calls]
messages, tool_calls = await asyncio.gather(
collect_messages(),
collect_tool_calls(),
)
```
## Human-in-the-loop (interrupts)
```python
async with client.threads.stream(assistant_id="agent") as thread:
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.
while not thread.interrupted:
await asyncio.sleep(0.1)
# Resume with a human response (unambiguous when only one interrupt is outstanding).
await thread.run.respond("yes, confirm booking")
result = await thread.output
```
## Sync client
The sync client mirrors the async API without `async`/`await`:
```python
from langgraph_sdk import get_sync_client
client = get_sync_client()
with client.threads.stream(assistant_id="agent") as thread:
thread.run.start(input={"messages": [{"role": "user", "content": "hello"}]})
for stream in thread.messages:
print(stream.text)
```
The sync client uses SSE only (`transport="websocket"` is not supported).
-40
View File
@@ -33,43 +33,3 @@ 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):
print(chunk)
```
## Known Limitations
- **WebSocket transport** requires `websockets>=14` and is only available on the async client (`AsyncThreadStream`). The sync client (`SyncThreadStream`) uses SSE exclusively.
- **`thread.extensions[name]`** opens a new subscription each time the same name is accessed. Assign the projection to a variable and reuse it within a single session rather than re-indexing across multiple iterations.
- **Sync streaming** drives the lifecycle watcher in a background thread. Long-lived sync sessions will hold that thread open until the context manager exits.
- **Reconnect attempts** are limited to 5 by default for both the shared SSE fan-out and the lifecycle watcher. Persistent network partitions will surface as `RuntimeError` on in-flight projections.
## Thread-Centric Streaming (v3)
`client.threads.stream()` returns a context manager that owns the SSE session for one
thread. Typed projections — values snapshots, message streams, tool calls, custom
events — all share the same underlying connection.
```python
from langgraph_sdk import get_client
import asyncio
client = get_client()
async with client.threads.stream(
thread_id="my-thread",
assistant_id="agent",
) as thread:
await thread.run.start(input={"messages": [{"role": "user", "content": "hi"}]})
# Start all consumers concurrently so they share one SSE connection.
async def get_messages():
return [s async for s in thread.messages]
async def get_tool_calls():
return [c async for c in thread.tool_calls]
messages, tool_calls = await asyncio.gather(get_messages(), get_tool_calls())
for stream in messages:
print(await stream.text) # accumulated text
final = await thread.output # terminal state values
```
-27
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@@ -1,27 +0,0 @@
# Thin layer on top of the latest published langgraph-api image.
#
# The base image bundles `langgraph_api`, `langgraph_runtime_postgres`,
# `langgraph_license`, `langgraph_grpc_common`, the Go `core-api-grpc`
# binary, and an entrypoint that starts both the gRPC server and uvicorn
# (`/storage/entrypoint.sh`). It also ships langgraph + langchain-core.
#
# We track the `latest-py3.12` tag rather than pinning a specific revision
# so CI surfaces upstream regressions early. If the base shifts under us,
# `docker compose build` will pick up the new digest on the next run.
#
# The image is the `licensed` variant, so it requires either a real
# `LANGSMITH_API_KEY` or a `LANGGRAPH_CLOUD_LICENSE_KEY` at runtime
# (passed through from the host shell / CI secrets, see docker-compose.yml).
FROM langchain/langgraph-api:latest-py3.12
# Graph dependencies not in the base image. `deepagents` is required for
# the deep_agent graph; the supervisor and researcher use a fake chat
# model (no `langchain-anthropic`) so no LLM API key is needed.
RUN pip install --no-cache-dir \
"langchain>=1.3.0" \
"deepagents>=0.6.2"
# Project graphs + registration config.
COPY graph/ /app/graph/
COPY langgraph.json /app/langgraph.json
@@ -1,91 +0,0 @@
name: langgraph-v3-integration
services:
postgres:
image: pgvector/pgvector:pg16
environment:
POSTGRES_DB: postgres
POSTGRES_USER: postgres
POSTGRES_PASSWORD: postgres
command: ["postgres", "-c", "shared_preload_libraries=vector", "-c", "max_connections=150"]
ports:
- "5443:5432"
healthcheck:
test: pg_isready -U postgres
interval: 5s
timeout: 1s
retries: 5
start_period: 10s
tmpfs:
- /var/lib/postgresql/data
redis:
image: redis:7-alpine
command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
ports:
- "6380:6379"
healthcheck:
test: redis-cli ping
interval: 5s
timeout: 1s
retries: 5
start_period: 2s
tmpfs:
- /data
api:
# Thin layer on top of langchain/langgraph-api:latest-py3.12 —
# see ./Dockerfile. The base image bundles langgraph-api +
# langgraph_runtime_postgres + langgraph_license + the Go core-server,
# so we only add graph deps (deepagents) and the graph files on top.
build:
context: .
dockerfile: Dockerfile
image: langgraph-v3-integration-api:local
depends_on:
postgres:
condition: service_healthy
redis:
condition: service_healthy
environment:
# Database + cache (the production-shape postgres+redis runtime).
# Recent langgraph-api reads DATABASE_URI first and falls back to
# POSTGRES_URI; set both so older code paths also work.
DATABASE_URI: postgres://postgres:postgres@postgres:5432/postgres?sslmode=disable
POSTGRES_URI: postgres://postgres:postgres@postgres:5432/postgres?sslmode=disable
REDIS_URI: redis://redis:6379
LANGGRAPH_RUNTIME_EDITION: postgres
LANGGRAPH_AUTH_TYPE: noop
LANGSMITH_TRACING: "false"
PORT: "8000"
# Required for the v3 thread-centric streaming protocol. Without this
# flag the API falls back to the legacy v2 streaming surface and the
# client's v3 endpoints (POST /threads/{id}/stream/events, /commands,
# etc.) won't be exposed.
FF_OPTIMIZED_STREAMING: "true"
# Tell langgraph-api which graphs to register. The langgraph CLI sets
# this from langgraph.json; we're bypassing the CLI (running uvicorn
# directly) so we set it manually.
LANGSERVE_GRAPHS: '{"agent":"/app/graph/streaming_graph.py:graph","tools_agent":"/app/graph/tools_agent.py:graph","deep_agent":"/app/graph/deep_agent.py:graph"}'
# The published langgraph-api image is the `licensed` variant and
# requires a real LANGSMITH_API_KEY (or LANGGRAPH_CLOUD_LICENSE_KEY)
# at runtime. Passed through from the host shell / CI secrets.
LANGSMITH_API_KEY: ${LANGSMITH_API_KEY:-}
LANGGRAPH_CLOUD_LICENSE_KEY: ${LANGGRAPH_CLOUD_LICENSE_KEY:-}
# Mount the graph + config so edits don't require a rebuild.
volumes:
- ./graph:/app/graph:ro
- ./langgraph.json:/app/langgraph.json:ro
ports:
- "2024:8000"
healthcheck:
test: ["CMD-SHELL", "wget -q -O- http://localhost:8000/ok || exit 1"]
interval: 5s
timeout: 3s
retries: 30
start_period: 30s
@@ -1,6 +0,0 @@
"""Example graphs for v3 streaming integration tests."""
from .deep_agent import graph as deep_agent
from .streaming_graph import graph as streaming_graph
__all__ = ["deep_agent", "streaming_graph"]
@@ -1,96 +0,0 @@
"""Deep-agent variant exercising v3 `thread.subgraphs` properly.
`create_deep_agent` builds a graph whose `task` tool dispatches to one
of its configured `SubAgent`s. When the supervisor's model issues a
`task(subagent_type="researcher", description=...)` tool call, the
sub-agent runs as a nested invocation and the v3 streaming server
emits the subagent's lifecycle, messages, and tool events under a
scoped namespace. That namespace is what `thread.subgraphs` surfaces
as a direct-child `ScopedStreamHandle`.
Both the supervisor and the researcher use `FakeMessagesListChatModel`
with pre-scripted responses so this graph is hermetic. No LLM API keys
are required, and the test is deterministic.
"""
from __future__ import annotations
from typing import Any
from deepagents import create_deep_agent
from deepagents.middleware.subagents import SubAgent
from langchain_core.language_models.fake_chat_models import FakeMessagesListChatModel
from langchain_core.messages import AIMessage
class _FakeChatModelWithTools(FakeMessagesListChatModel):
"""`FakeMessagesListChatModel` that accepts `bind_tools(...)` as a no-op.
`create_deep_agent` calls `model.bind_tools(tools)` to expose the `task`
tool to the supervisor. The base `BaseChatModel.bind_tools` raises
`NotImplementedError`. Pre-baked responses in `responses` already carry
the desired `tool_calls`, so we ignore the tools list and return self.
"""
def bind_tools(self, tools: Any, **kwargs: Any) -> _FakeChatModelWithTools:
return self
# Supervisor turn 1: dispatch to the researcher via the `task` tool.
# Supervisor turn 2: emit a final assistant message (no more tool calls),
# which closes the agent loop.
_supervisor_model = _FakeChatModelWithTools(
responses=[
AIMessage(
content="",
id="sup-1",
tool_calls=[
{
"id": "tc-task-1",
"name": "task",
"args": {
"subagent_type": "researcher",
"description": "research v3 streaming",
},
}
],
),
AIMessage(content="Research complete.", id="sup-2"),
]
)
# Researcher turn 1: final message, no tool calls. Closes the subagent loop.
_researcher_model = _FakeChatModelWithTools(
responses=[
AIMessage(
content="v3 streaming is event-typed and thread-centric.", id="res-1"
),
]
)
_researcher: SubAgent = {
"name": "researcher",
"description": (
"Looks up notes on a topic and returns a short summary. "
"Use this when the user wants to research something."
),
"system_prompt": (
"You are a research assistant. Reply with one or two sentences "
"summarising what the user asked about. Do not call any tools."
),
"model": _researcher_model,
}
graph = create_deep_agent(
model=_supervisor_model,
system_prompt=(
"You are a supervisor coordinating a researcher subagent. "
"When the user asks to research anything, call the `task` tool "
"with subagent_type='researcher'."
),
subagents=[_researcher],
name="v3_deep_agent",
)
@@ -1,300 +0,0 @@
"""Example graph exercising the full v3 streaming surface.
Topology:
__start__ -> stream_message -> call_tool -> ask_human -> subgraph -> __end__
Each node is designed to surface a specific v3 channel:
- `stream_message` yields token-by-token AI message chunks (`messages`).
- `call_tool` invokes a tool and emits a tool-call lifecycle (`tools`).
- `ask_human` raises an `interrupt(...)` to test `thread.interrupted` /
`thread.run.respond(...)` (`lifecycle` / `input`).
- `subgraph` is a nested `StateGraph` invoked once so `thread.subgraphs` has
exactly one direct child (`tasks` + `messages` under a namespace).
Extensions: every node calls `get_stream_writer()("progress", {...})` so
`thread.extensions["progress"]` produces deterministic events.
No real LLM is used message streaming is simulated by yielding a list of
`AIMessageChunk`s from the node. This keeps the integration suite
hermetic.
"""
from __future__ import annotations
import operator
from collections.abc import AsyncIterator, Iterator
from typing import Annotated, Any, TypedDict
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, ToolMessage
from langchain_core.outputs import ChatGenerationChunk
from langchain_core.tools import tool
from langgraph.config import get_stream_writer
from langgraph.graph import StateGraph
from langgraph.graph.message import add_messages
from langgraph.stream.transformers import CustomTransformer, UpdatesTransformer
from langgraph.types import interrupt
class _StreamingFakeChatModel(BaseChatModel):
"""Fake ``BaseChatModel`` that streams ``AIMessageChunk``s.
Implements ``_stream`` / ``_astream`` so the v3 chat-model
callback chain (``_aiter_v2_events`` in
``langchain_core/language_models/chat_models.py``) fires
``run_manager.on_stream_event(...)`` per normalized protocol
event. ``StreamMessagesHandlerV2`` -- attached by the langgraph
runtime when ``"messages"`` is in stream_modes -- catches those
callbacks and surfaces them on the v3 wire ``messages`` channel
at root namespace.
The base ``FakeMessagesListChatModel`` would have worked for
``ainvoke`` but raises ``NotImplementedError`` from ``_stream``,
so it can't drive the streaming-callback path. ``GenericFakeChatModel``
implements ``_stream`` but takes an ``Iterator`` that gets
exhausted across invocations.
"""
text: str = "Hello, world!"
message_id: str = "ai-msg-1"
@property
def _llm_type(self) -> str:
return "streaming-fake-chat-model"
def _generate(self, messages, stop=None, run_manager=None, **kwargs):
from langchain_core.outputs import ChatGeneration, ChatResult
return ChatResult(
generations=[
ChatGeneration(message=AIMessage(content=self.text, id=self.message_id))
]
)
def _stream(
self,
messages: list[BaseMessage],
stop: list[str] | None = None,
run_manager: CallbackManagerForLLMRun | None = None,
**kwargs: object,
) -> Iterator[ChatGenerationChunk]:
# Yield content as space-separated word chunks so deltas are
# observable. The final chunk's ``chunk_position="last"`` tells
# the callback chain to emit ``message-finish``.
parts = self.text.split(" ")
for i, part in enumerate(parts):
content = part if i == 0 else " " + part
chunk = AIMessageChunk(content=content, id=self.message_id)
if i == len(parts) - 1:
chunk.chunk_position = "last"
yield ChatGenerationChunk(message=chunk)
async def _astream(
self,
messages: list[BaseMessage],
stop: list[str] | None = None,
run_manager: AsyncCallbackManagerForLLMRun | None = None,
**kwargs: object,
) -> AsyncIterator[ChatGenerationChunk]:
for chunk in self._stream(messages, stop=stop, **kwargs):
yield chunk
_stream_model = _StreamingFakeChatModel()
class AgentState(TypedDict):
"""Top-level state for the agent.
`messages` accumulates AI/tool/user messages via the standard `add_messages`
reducer. `value` is a simple scalar to test the `values` channel.
`items` accumulates list-append updates via `operator.add` so each node
contributes a marker and the terminal state reflects the full path
rather than only the last node's return.
"""
messages: Annotated[list[BaseMessage], add_messages]
value: str
items: Annotated[list[str], operator.add]
@tool
def search(query: str) -> str:
"""Look up `query` in a fake search index."""
return f"result for {query!r}"
# ---------------------------------------------------------------------------
# Nodes
# ---------------------------------------------------------------------------
async def stream_message(state: AgentState) -> dict[str, Any]:
"""Stream an AI message via a fake chat model.
Awaiting ``model.ainvoke(...)`` drives langgraph's chat-model
streaming callbacks (``StreamMessagesHandlerV2`` ->
``MessagesTransformer``), so the v3 ``messages`` channel emits the
normalized delta lifecycle (``message-start`` ->
``content-block-start`` -> ``content-block-delta`` ->
``content-block-finish`` -> ``message-finish``) at root namespace.
Returning the resolved ``AIMessage`` via the messages reducer also
keeps the existing ``values`` snapshots intact.
"""
writer = get_stream_writer()
writer({"name": "progress", "step": "stream_message", "phase": "start"})
# ``astream_events(version="v3")`` drives the chat model's
# ``_aiter_v2_events`` path (``BaseChatModel`` in
# ``langchain_core/language_models/chat_models.py``), which fires
# ``run_manager.on_stream_event(...)`` per normalized protocol
# event (``message-start`` / ``content-block-delta`` /
# ``message-finish``). ``StreamMessagesHandlerV2`` -- attached by
# the langgraph runtime when ``"messages"`` is in stream_modes --
# catches those callbacks and surfaces them on the v3 wire
# ``messages`` channel at root namespace. Plain ``astream(...)``
# does NOT route through this handler.
text_parts: list[str] = []
message_id = "ai-msg-1"
# ``astream_events(version="v3")`` returns an awaitable that resolves
# to the async iterator.
stream = await _stream_model.astream_events([], version="v3")
async for event in stream:
if event.get("event") == "content-block-delta":
delta = event.get("delta") or {}
t = delta.get("text") if isinstance(delta, dict) else None
if isinstance(t, str):
text_parts.append(t)
elif event.get("event") == "message-start":
mid = event.get("id")
if isinstance(mid, str):
message_id = mid
final = AIMessage(content="".join(text_parts), id=message_id)
writer({"name": "progress", "step": "stream_message", "phase": "end"})
return {"messages": [final], "value": "x", "items": ["streamed"]}
def call_tool(state: AgentState) -> dict[str, Any]:
"""Invoke a tool and emit its result as a tool message.
A tool call here exercises the `tools` channel in v3.
"""
writer = get_stream_writer()
writer({"name": "progress", "step": "call_tool", "phase": "start"})
# Hand-roll a tool call so we don't need a model to issue it.
tool_call_id = "tc-1"
ai_with_tool = AIMessage(
content="",
id="ai-msg-2",
tool_calls=[
{
"id": tool_call_id,
"name": "search",
"args": {"query": "v3"},
}
],
)
result = search.invoke({"query": "v3"})
tool_msg = ToolMessage(content=result, tool_call_id=tool_call_id)
writer({"name": "progress", "step": "call_tool", "phase": "end"})
return {
"messages": [ai_with_tool, tool_msg],
"items": ["tool"],
}
def ask_human(state: AgentState) -> dict[str, Any]:
"""Pause the graph and wait for a `thread.run.respond(...)`.
`interrupt(value)` raises a special exception that the runtime catches;
the v3 lifecycle emits `input.requested` with this `value` and the
client must call `thread.run.respond(answer)` to continue.
"""
writer = get_stream_writer()
writer({"name": "progress", "step": "ask_human", "phase": "start"})
answer = interrupt("Are we good?")
writer(
{"name": "progress", "step": "ask_human", "phase": "end", "answer": str(answer)}
)
return {
"messages": [AIMessage(content=f"Human said: {answer}", id="ai-msg-3")],
"items": ["asked"],
}
# ---------------------------------------------------------------------------
# Subgraph (exercises `thread.subgraphs`)
# ---------------------------------------------------------------------------
class SubState(TypedDict):
messages: Annotated[list[BaseMessage], add_messages]
note: str
def sub_node(state: SubState) -> dict[str, Any]:
"""Single node in the subgraph; emits a message and a custom event."""
writer = get_stream_writer()
writer({"name": "progress", "step": "sub_node", "phase": "start"})
msg = AIMessage(content="from subgraph", id="sub-msg-1")
writer({"name": "progress", "step": "sub_node", "phase": "end"})
return {"messages": [msg], "note": "ran"}
_sub_builder = StateGraph(SubState)
_sub_builder.add_node("sub", sub_node)
_sub_builder.set_entry_point("sub")
_sub_builder.set_finish_point("sub")
subgraph = _sub_builder.compile()
def run_subgraph(state: AgentState) -> dict[str, Any]:
"""Invoke the subgraph once so it appears as a direct child handle."""
writer = get_stream_writer()
writer({"name": "progress", "step": "run_subgraph", "phase": "start"})
sub_state = subgraph.invoke({"messages": [], "note": ""})
writer({"name": "progress", "step": "run_subgraph", "phase": "end"})
return {
"messages": sub_state["messages"],
"items": ["sub"],
}
# ---------------------------------------------------------------------------
# Top-level graph
# ---------------------------------------------------------------------------
_builder: StateGraph[AgentState, Any, Any, Any] = StateGraph(AgentState)
_builder.add_node("stream_message", stream_message)
_builder.add_node("call_tool", call_tool)
_builder.add_node("ask_human", ask_human)
_builder.add_node("run_subgraph", run_subgraph)
_builder.set_entry_point("stream_message")
_builder.add_edge("stream_message", "call_tool")
_builder.add_edge("call_tool", "ask_human")
_builder.add_edge("ask_human", "run_subgraph")
_builder.set_finish_point("run_subgraph")
graph = _builder.compile(
name="v3_integration_agent",
# Register transformers so ``custom`` (``get_stream_writer()``) and
# ``updates`` channels emit on the wire. ``MessagesTransformer`` is
# auto-registered by the v3 mux for any graph that streams a chat
# model. ``ValuesTransformer`` / ``LifecycleTransformer`` are also
# always-on natives.
transformers=[CustomTransformer, UpdatesTransformer],
)
@@ -1,91 +0,0 @@
"""create_agent-based example exercising the v3 ``tools`` channel.
`thread.tool_calls` and the underlying ``tools`` channel only emit
events when an actual model issues a tool call through langchain's
agent stack. The synthetic ``streaming_graph.py`` hand-builds
`AIMessage(tool_calls=[...])` and a `ToolMessage` via the messages
reducer that gets persisted in state but never produces tool-call
telemetry on the wire. This graph fixes that by going through
`create_agent` with a real tool, driven by a `GenericFakeChatModel` so
the test stays hermetic (no `ANTHROPIC_API_KEY` required).
Flow on `run.start`:
1. Supervisor model returns an `AIMessage(tool_calls=[search(query="v3")])`.
2. langchain's tool node executes `search` and produces a `ToolMessage`.
3. Supervisor model returns a final `AIMessage("done.")` to terminate.
The v3 streaming layer surfaces this as `messages` + `tools` channel
events at root namespace.
"""
from __future__ import annotations
from typing import Any
from langchain.agents import create_agent
from langchain_core.language_models.fake_chat_models import FakeMessagesListChatModel
from langchain_core.messages import AIMessage
from langchain_core.tools import tool
@tool
def search(query: str) -> str:
"""Look up `query` in a fake search index."""
return f"result for {query!r}"
class _ToolBindingFakeChatModel(FakeMessagesListChatModel):
"""Fake chat model that satisfies `create_agent`'s ``bind_tools`` call.
``create_agent`` calls ``model.bind_tools(tools)`` to attach the tool
schema (``langchain/agents/factory.py:1284``). The base
``FakeMessagesListChatModel`` inherits ``BaseChatModel.bind_tools``,
which raises ``NotImplementedError``. We don't actually need the
bound schema the fake replays scripted ``AIMessage``s with their
own ``tool_calls`` field so override ``bind_tools`` as a no-op.
``FakeMessagesListChatModel`` is preferred over
``GenericFakeChatModel`` here because the latter's ``_stream``
breaks the message into content chunks and **drops ``tool_calls``**
when content is empty, causing the v2 streaming path inside
``create_agent`` to raise ``RuntimeError("v2 stream finished
without producing a message")``. ``FakeMessagesListChatModel``
falls back to the default ``_stream`` that yields the whole
message in one chunk, preserving ``tool_calls``.
"""
def bind_tools(self, tools: Any, **kwargs: Any) -> _ToolBindingFakeChatModel:
return self
# Two scripted turns. ``FakeMessagesListChatModel`` cycles through
# ``responses`` (resetting to index 0 after the last) so the graph
# can be run many times without restart; per run, ``create_agent``
# invokes the model exactly twice (once to issue the tool call,
# once after the tool result to produce the terminating answer).
_supervisor_responses: list[AIMessage] = [
AIMessage(
content="",
id="ai-tools-1",
tool_calls=[
{
"id": "tc-1",
"name": "search",
"args": {"query": "v3"},
}
],
),
AIMessage(content="done.", id="ai-tools-2"),
]
_supervisor_model = _ToolBindingFakeChatModel(responses=_supervisor_responses)
graph = create_agent(
model=_supervisor_model,
tools=[search],
system_prompt="You are a research assistant. Use the search tool when asked.",
name="v3_tools_agent",
)
-10
View File
@@ -1,10 +0,0 @@
{
"$schema": "https://langgra.ph/schema.json",
"dependencies": ["./graph"],
"graphs": {
"agent": "./graph/streaming_graph.py:graph",
"tools_agent": "./graph/tools_agent.py:graph",
"deep_agent": "./graph/deep_agent.py:graph"
},
"env": {}
}
-124
View File
@@ -1,124 +0,0 @@
"""Shared helpers for the v3 streaming integration scripts.
All scripts share the same expectations:
- A `langgraph-api` server is reachable at `BASE_URL` (default
http://localhost:2024 set by `docker-compose.yml`, which builds
on `langchain/langgraph-api:latest-py3.12`).
- The example graph (`integration/graph/streaming_graph.py:graph`) is
registered under the assistant id `agent` (see `integration/langgraph.json`).
Each script imports `make_async_client()` / `make_sync_client()` from here
to construct the v3 SDK client. Override `BASE_URL` via the
`LANGGRAPH_INTEGRATION_URL` env var if you're running the API elsewhere.
"""
from __future__ import annotations
import asyncio
import contextlib
import os
import threading
from typing import TYPE_CHECKING, Any
import httpx
if TYPE_CHECKING:
from langgraph_sdk._async.threads import ThreadsClient as AsyncThreadsClient
from langgraph_sdk._sync.threads import SyncThreadsClient
BASE_URL = os.environ.get("LANGGRAPH_INTEGRATION_URL", "http://localhost:2024")
ASSISTANT_ID = "agent"
def make_async_client() -> tuple[AsyncThreadsClient, httpx.AsyncClient]:
"""Build an async ThreadsClient pointing at the integration API.
Returns the client and the underlying httpx client so callers can close
it. Typical usage:
```python
threads, raw = make_async_client()
try:
async with threads.stream(...) as thread:
...
finally:
await raw.aclose()
```
"""
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._async.threads import ThreadsClient
raw = httpx.AsyncClient(base_url=BASE_URL, timeout=30.0)
return ThreadsClient(HttpClient(raw)), raw
def make_sync_client() -> tuple[SyncThreadsClient, httpx.Client]:
"""Build a sync ThreadsClient pointing at the integration API."""
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk._sync.threads import SyncThreadsClient
raw = httpx.Client(base_url=BASE_URL, timeout=30.0)
return SyncThreadsClient(SyncHttpClient(raw)), raw
def header(title: str) -> None:
"""Print a section header for script output."""
bar = "=" * (len(title) + 4)
print(f"\n{bar}\n {title}\n{bar}")
def auto_respond_async(thread: Any, response: Any = "yes") -> asyncio.Task[None]:
"""Spawn a background task that responds to the first interrupt and exits.
Opens a private `thread.values` subscription and drains it; the SDK's
`_signal_paused` mechanism pushes the terminal sentinel into the
iterator when `interrupted` flips True, so the loop exits at the
interrupt. The auto-responder then calls `run.respond(...)` and the
foreground iteration sees the rest of the run.
Returns the task so callers can `await` it before tearing down the
stream (recommended) or cancel it.
"""
async def _runner() -> None:
async for _ in thread.values:
if thread.interrupted:
break
if thread.interrupted:
with contextlib.suppress(Exception):
await thread.run.respond(response)
return asyncio.create_task(_runner())
def auto_respond_sync(thread: Any, response: Any = "yes") -> threading.Thread:
"""Sync analogue of `auto_respond_async`."""
def _runner() -> None:
for _ in thread.values:
if thread.interrupted:
break
if thread.interrupted:
with contextlib.suppress(Exception):
thread.run.respond(response)
t = threading.Thread(target=_runner, daemon=True, name="auto-respond")
t.start()
return t
def check_api_reachable() -> None:
"""Fail fast with a helpful message if the API isn't reachable.
Call this at the top of `main()` in each script.
"""
try:
resp = httpx.get(f"{BASE_URL}/ok", timeout=2.0)
resp.raise_for_status()
except Exception as err:
raise SystemExit(
f"\nCannot reach the integration API at {BASE_URL}: {err!r}\n"
f"Did you run `docker compose up -d` from `libs/sdk-py/integration/`?\n"
f"Or set LANGGRAPH_INTEGRATION_URL=... to point elsewhere.\n"
) from err
@@ -1,185 +0,0 @@
"""Exercise mid-run cancellation against the integration API.
Strategy: start a run on a fresh thread, capture the run id, then
cancel via the runs REST client while events are still flowing. The
projection iterator must terminate without hanging, no exception
should escape, and the thread's persisted status must reflect a
non-success terminal state.
The graph normally interrupts at `ask_human`; cancel must take effect
before or after that interrupt, and either way the run must end up in
a non-success state from the server's perspective.
"""
from __future__ import annotations
import asyncio
import contextlib
import threading
import time
from typing import Any
from _common import (
ASSISTANT_ID,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
_CANCEL_GRACE_SECONDS = 10.0
async def _cancel_after_first_event(
runs_client: Any,
thread_id: str,
run_id_future: asyncio.Future[str],
) -> None:
"""Wait for the run id, briefly let events flow, then cancel."""
run_id = await run_id_future
# Allow a beat of events to flow so cancel hits mid-stream rather
# than racing with the run.start handshake.
await asyncio.sleep(0.1)
with contextlib.suppress(Exception):
await runs_client.cancel(thread_id, run_id, wait=False)
async def run_async() -> None:
header("async mid-run cancel")
threads, raw = make_async_client()
# Cancel goes through the runs REST surface, not the stream proxy.
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._async.runs import RunsClient
runs_client = RunsClient(HttpClient(raw))
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
run_id_future: asyncio.Future[str] = (
asyncio.get_running_loop().create_future()
)
start_result = await thread.run.start(
input={"messages": [], "value": "init", "items": []}
)
run_id = start_result.get("run_id")
assert run_id, f"run.start returned no run_id: {start_result!r}"
run_id_future.set_result(run_id)
canceller = asyncio.create_task(
_cancel_after_first_event(runs_client, thread.thread_id, run_id_future)
)
snapshots: list[dict] = []
started = time.monotonic()
iteration_error: BaseException | None = None
try:
async for snap in thread.values:
snapshots.append(snap)
if time.monotonic() - started > _CANCEL_GRACE_SECONDS:
raise AssertionError(
f"values iterator did not terminate within "
f"{_CANCEL_GRACE_SECONDS}s of cancel"
)
except BaseException as err:
iteration_error = err
await canceller
persisted = await threads.get(thread.thread_id)
status = persisted.get("status")
print(f" snapshots before cancel: {len(snapshots)}")
print(f" thread.thread_id={thread.thread_id}")
print(f" iteration_error={iteration_error!r}")
print(f" persisted status={status!r}")
assert iteration_error is None, (
f"values iterator raised after cancel: {iteration_error!r}"
)
assert status != "success", (
f"expected non-success terminal status after cancel, got {status!r}"
)
finally:
await raw.aclose()
def _cancel_after_first_event_sync(
runs_client: Any,
thread_id: str,
run_id_event: threading.Event,
run_id_holder: dict[str, str],
) -> None:
run_id_event.wait(timeout=10.0)
run_id = run_id_holder.get("run_id")
if not run_id:
return
time.sleep(0.1)
with contextlib.suppress(Exception):
runs_client.cancel(thread_id, run_id, wait=False)
def run_sync() -> None:
header("sync mid-run cancel")
threads, raw = make_sync_client()
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk._sync.runs import SyncRunsClient
runs_client = SyncRunsClient(SyncHttpClient(raw))
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
run_id_event = threading.Event()
run_id_holder: dict[str, str] = {}
start_result = thread.run.start(
input={"messages": [], "value": "init", "items": []}
)
run_id = start_result.get("run_id")
assert run_id, f"run.start returned no run_id: {start_result!r}"
run_id_holder["run_id"] = run_id
run_id_event.set()
canceller = threading.Thread(
target=_cancel_after_first_event_sync,
args=(runs_client, thread.thread_id, run_id_event, run_id_holder),
daemon=True,
name="cancel-worker",
)
canceller.start()
snapshots: list[dict] = []
started = time.monotonic()
iteration_error: BaseException | None = None
try:
for snap in thread.values:
snapshots.append(snap)
if time.monotonic() - started > _CANCEL_GRACE_SECONDS:
raise AssertionError(
f"values iterator did not terminate within "
f"{_CANCEL_GRACE_SECONDS}s of cancel"
)
except BaseException as err:
iteration_error = err
canceller.join(timeout=5)
persisted = threads.get(thread.thread_id)
status = persisted.get("status")
print(f" snapshots before cancel: {len(snapshots)}")
print(f" thread.thread_id={thread.thread_id}")
print(f" iteration_error={iteration_error!r}")
print(f" persisted status={status!r}")
assert iteration_error is None, (
f"values iterator raised after cancel: {iteration_error!r}"
)
assert status != "success", (
f"expected non-success terminal status after cancel, got {status!r}"
)
finally:
with contextlib.suppress(Exception):
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,128 +0,0 @@
"""Exercise concurrent `threads.stream()` against the integration API.
Two distinct threads.stream() contexts run in parallel against the same
client. Each context is independent (different thread_id minted by the
SDK, separate controller, separate auto-responder). Invariants:
1. Both runs reach the canonical terminal state independently
(`items == ['streamed','tool','asked','sub']`).
2. Their thread_ids differ (no thread-id collision when minting client-side).
3. Neither raises during iteration.
This catches regressions where the two streams might share controller
state or where minted ids could collide under concurrent ``__aenter__``.
"""
from __future__ import annotations
import asyncio
import contextlib
import threading
from typing import Any
from _common import (
ASSISTANT_ID,
auto_respond_async,
auto_respond_sync,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
_EXPECTED_TERMINAL_ITEMS = ["streamed", "tool", "asked", "sub"]
async def _drive_one_async(threads: Any, label: str) -> dict[str, Any]:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
await thread.run.start(input={"messages": [], "value": "init", "items": []})
responder = auto_respond_async(thread)
# Just drain values until terminal; we only care about the final state.
async for _ in thread.values:
pass
await responder
final = await thread.output
print(f" [{label}] thread_id={thread.thread_id} items={final.get('items')!r}")
return {"thread_id": thread.thread_id, "items": final.get("items")}
async def run_async() -> None:
header("async concurrent threads.stream (x2)")
threads, raw = make_async_client()
try:
results = await asyncio.gather(
_drive_one_async(threads, "A"),
_drive_one_async(threads, "B"),
)
a, b = results
assert a["items"] == _EXPECTED_TERMINAL_ITEMS, (
f"stream A failed to reach terminal: {a!r}"
)
assert b["items"] == _EXPECTED_TERMINAL_ITEMS, (
f"stream B failed to reach terminal: {b!r}"
)
assert a["thread_id"] != b["thread_id"], (
f"concurrent streams collided on thread_id {a['thread_id']!r}"
)
finally:
await raw.aclose()
def _drive_one_sync(
threads: Any, label: str, results: dict[str, dict[str, Any]]
) -> None:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
responder = auto_respond_sync(thread)
for _ in thread.values:
pass
responder.join(timeout=10)
final = thread.output
print(f" [{label}] thread_id={thread.thread_id} items={final.get('items')!r}")
results[label] = {"thread_id": thread.thread_id, "items": final.get("items")}
def run_sync() -> None:
header("sync concurrent threads.stream (x2)")
threads, raw = make_sync_client()
try:
results: dict[str, dict[str, Any]] = {}
workers = [
threading.Thread(
target=_drive_one_sync,
args=(threads, label, results),
daemon=True,
name=f"sync-stream-{label}",
)
for label in ("A", "B")
]
for w in workers:
w.start()
for w in workers:
w.join(timeout=60)
assert not w.is_alive(), f"worker {w.name} did not finish within 60s"
a = results.get("A")
b = results.get("B")
assert a is not None and a["items"] == _EXPECTED_TERMINAL_ITEMS, (
f"stream A failed to reach terminal: {a!r}"
)
assert b is not None and b["items"] == _EXPECTED_TERMINAL_ITEMS, (
f"stream B failed to reach terminal: {b!r}"
)
assert a["thread_id"] != b["thread_id"], (
f"concurrent streams collided on thread_id {a['thread_id']!r}"
)
finally:
with contextlib.suppress(Exception):
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,67 +0,0 @@
"""Exercise `thread.extensions[name]` against the integration API.
Every node in the example graph writes `("progress", {...})` via
`get_stream_writer`. This script verifies the `extensions["progress"]`
projection yields each progress event in order.
"""
from __future__ import annotations
import asyncio
from _common import (
ASSISTANT_ID,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
async def run_async() -> None:
header("async extensions[progress]")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
await thread.run.start(input={"messages": [], "value": "init", "items": []})
events: list[dict] = []
async for event in thread.extensions["progress"]:
print(f" progress: {event!r}")
events.append(event)
print(f" total progress events: {len(events)}")
assert events, "expected at least one progress event"
# Verify ordering covers the node sequence.
steps = [e.get("step") for e in events]
print(f" step sequence: {steps}")
finally:
await raw.aclose()
def run_sync() -> None:
header("sync extensions[progress]")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
events: list[dict] = []
for event in thread.extensions["progress"]:
print(f" progress: {event!r}")
events.append(event)
print(f" total progress events: {len(events)}")
assert events, "expected at least one progress event"
steps = [e.get("step") for e in events]
print(f" step sequence: {steps}")
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,67 +0,0 @@
"""Exercise helper methods on `thread` against the integration API.
Covers `thread.agent.get_tree(xray=...)` and the extensions cache.
"""
from __future__ import annotations
import asyncio
from _common import (
ASSISTANT_ID,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
async def run_async() -> None:
header("async helpers (agent.get_tree, extensions cache)")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
tree = await thread.agent.get_tree()
print(f" get_tree() returned: nodes={list(tree.get('nodes', []))[:5]} ...")
assert tree, "expected non-empty tree"
tree_xray = await thread.agent.get_tree(xray=True)
print(f" get_tree(xray=True) returned keys: {list(tree_xray)[:5]}")
# Extensions cache: same name returns same projection instance.
a = thread.extensions["progress"]
b = thread.extensions["progress"]
assert a is b, "expected cached _ExtensionProjection on repeated access"
print(" extensions cache: OK (same projection instance reused)")
finally:
await raw.aclose()
def run_sync() -> None:
header("sync helpers (agent.get_tree, extensions cache)")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
tree = thread.agent.get_tree()
print(f" get_tree() returned: nodes={list(tree.get('nodes', []))[:5]} ...")
assert tree, "expected non-empty tree"
tree_xray = thread.agent.get_tree(xray=True)
print(f" get_tree(xray=True) returned keys: {list(tree_xray)[:5]}")
a = thread.extensions["progress"]
b = thread.extensions["progress"]
assert a is b, "expected cached _ExtensionProjection on repeated access"
print(" extensions cache: OK (same projection instance reused)")
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,97 +0,0 @@
"""Exercise lifecycle state + `thread.run.respond(...)` against the integration API.
The example graph's `ask_human` node calls `interrupt("Are we good?")`. This
script:
1. Starts a run.
2. Waits until `thread.interrupted` becomes True (an `input.requested`
lifecycle event lands).
3. Inspects `thread.interrupts` to see the outstanding payload.
4. Calls `thread.run.respond("yes")` to resume.
5. Awaits `thread.output` for the final state.
"""
from __future__ import annotations
import asyncio
from _common import (
ASSISTANT_ID,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
async def run_async() -> None:
header("async lifecycle + respond")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
await thread.run.start(input={"messages": [], "value": "init", "items": []})
# Drain values until interrupt fires. (`thread.values` ends when
# the run terminates OR when the run is paused on an interrupt;
# the latter sets `thread.interrupted` mid-iteration.)
saw_interrupt = False
async for _snap in thread.values:
if thread.interrupted:
saw_interrupt = True
break
print(f" thread.interrupted = {thread.interrupted}")
print(f" thread.interrupts = {thread.interrupts!r}")
assert thread.interrupted, "expected an interrupt before the run completed"
assert thread.interrupts, "expected interrupts list to be populated"
await thread.run.respond("yes")
final = await thread.output
print(f" final output items: {final.get('items')!r}")
assert "asked" in final.get("items", []), (
"expected ask_human to have run after respond"
)
print(f" saw_interrupt before respond = {saw_interrupt}")
finally:
await raw.aclose()
def run_sync() -> None:
header("sync lifecycle + respond")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
saw_interrupt = False
for _snap in thread.values:
if thread.interrupted:
saw_interrupt = True
break
print(f" thread.interrupted = {thread.interrupted}")
print(f" thread.interrupts = {thread.interrupts!r}")
assert thread.interrupted, "expected an interrupt before the run completed"
assert thread.interrupts, "expected interrupts list to be populated"
thread.run.respond("yes")
final = thread.output
print(f" final output items: {final.get('items')!r}")
assert "asked" in final.get("items", []), (
"expected ask_human to have run after respond"
)
print(f" saw_interrupt before respond = {saw_interrupt}")
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,83 +0,0 @@
"""Exercise `thread.messages` against the integration API.
The ``stream_message`` node in ``streaming_graph`` invokes a fake
``FakeMessagesListChatModel`` whose ``_stream`` callbacks drive
langgraph's ``StreamMessagesHandlerV2`` -> ``MessagesTransformer``,
so the v3 ``messages`` channel emits the normalized delta lifecycle
(``message-start`` -> ``content-block-start`` ->
``content-block-delta`` -> ``content-block-finish`` ->
``message-finish``) at root namespace.
Pattern note: drain the outer iterator first (list comprehension)
before consuming each handle's chunks -- the outer iterator yields
on ``message-start`` but the inner ``chunk`` stream only completes
when ``message-finish`` is processed by the outer iter. Iterating
chunks while the outer is suspended at ``yield`` deadlocks.
"""
from __future__ import annotations
import asyncio
from _common import (
ASSISTANT_ID,
auto_respond_async,
auto_respond_sync,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
async def run_async() -> None:
header("async messages")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
await thread.run.start(input={"messages": [], "value": "init", "items": []})
# Graph interrupts at `ask_human`; background responder
# unblocks so terminal lifecycle fires and the messages
# iterator exits cleanly.
responder = auto_respond_async(thread)
streams = [s async for s in thread.messages]
await responder
print(f" total streams: {len(streams)}")
for stream in streams:
text = "".join([t async for t in stream.text])
msg_id = getattr(stream, "message_id", None) or "?"
print(f" message {msg_id}: {text!r}")
assert streams, "expected at least one streamed message"
finally:
await raw.aclose()
def run_sync() -> None:
header("sync messages")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
responder = auto_respond_sync(thread)
streams = list(thread.messages)
responder.join(timeout=5)
print(f" total streams: {len(streams)}")
for stream in streams:
text = "".join(list(stream.text))
msg_id = getattr(stream, "message_id", None) or "?"
print(f" message {msg_id}: {text!r}")
assert streams, "expected at least one streamed message"
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,197 +0,0 @@
"""Exercise stream-handle close + recovery against the integration API.
The SDK's "reconnect on transport drop" code path (controller
`_reconnect_shared_stream`) only fires when `shared.done` resolves to a
non-cancelled error i.e. genuine network/server failures, not graceful
client-initiated closes. Reliably faking such an error against a real
server is brittle, so this script asserts the next-strongest invariant:
**a client-initiated stream close mid-iteration must not corrupt durable
state**.
Concretely:
1. Start the run; let the auto-responder unblock the interrupt.
2. Drop the shared SSE handle after the first snapshot.
3. The values projection iterator may end early (the close drains the
sub queue with `None`), but `thread.output` must still resolve to the
canonical terminal state via the REST fallback path.
4. No exception escapes the iteration.
We also instrument `_dedup_iter` to count any duplicate event_ids and
print the counter for visibility. A future regression that
double-delivers events through the controller would surface here.
"""
from __future__ import annotations
import asyncio
import contextlib
import functools
from typing import Any
from _common import (
ASSISTANT_ID,
auto_respond_async,
auto_respond_sync,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
_EXPECTED_TERMINAL_ITEMS = ["streamed", "tool", "asked", "sub"]
def _instrument_dedup_async(controller: Any) -> dict[str, int]:
"""Wrap `_dedup_iter` so duplicate event_ids are counted."""
counter = {"drops": 0, "yields": 0}
original = controller._dedup_iter.__func__ # type: ignore[attr-defined]
@functools.wraps(original)
async def _counted(self, source): # type: ignore[no-untyped-def]
async for event in source:
event_id = event.get("event_id")
if event_id is not None:
if event_id in self._seen_event_ids:
counter["drops"] += 1
continue
self._seen_event_ids.add(event_id)
counter["yields"] += 1
yield event
controller._dedup_iter = _counted.__get__(controller, type(controller))
return counter
def _instrument_dedup_sync(controller: Any) -> dict[str, int]:
counter = {"drops": 0, "yields": 0}
original = controller._dedup_iter.__func__ # type: ignore[attr-defined]
@functools.wraps(original)
def _counted(self, source): # type: ignore[no-untyped-def]
for event in source:
event_id = event.get("event_id")
if event_id is not None:
if event_id in self._seen_event_ids:
counter["drops"] += 1
continue
self._seen_event_ids.add(event_id)
counter["yields"] += 1
yield event
controller._dedup_iter = _counted.__get__(controller, type(controller))
return counter
async def run_async() -> None:
header("async stream-close mid-iteration (terminal state via REST)")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
counter = _instrument_dedup_async(thread)
await thread.run.start(input={"messages": [], "value": "init", "items": []})
responder = auto_respond_async(thread)
snapshots: list[dict] = []
dropped = False
iteration_error: BaseException | None = None
try:
async for snap in thread.values:
snapshots.append(snap)
if not dropped and thread._shared_stream is not None:
print(f" dropping shared stream (cursor={thread._cursor})...")
await thread._shared_stream.close()
dropped = True
except BaseException as err:
iteration_error = err
await responder
final = await thread.output
print(f" snapshots seen before drop: {len(snapshots)}")
print(f" final items={final.get('items')!r}")
print(f" dedup drops={counter['drops']} yields={counter['yields']}")
print(f" iteration_error={iteration_error!r}")
assert dropped, "expected to drop the shared stream during iteration"
assert snapshots, "expected at least one snapshot before the drop"
assert iteration_error is None, (
f"values iterator raised on stream close: {iteration_error!r}"
)
assert final.get("items") == _EXPECTED_TERMINAL_ITEMS, (
f"terminal state not reached via REST after drop: "
f"items={final.get('items')!r}"
)
assert counter["drops"] == 0, (
f"unexpected dedup activity (drops={counter['drops']}); "
"no rotation occurred so no overlap was expected"
)
finally:
await raw.aclose()
def run_sync() -> None:
header("sync stream-close mid-iteration (terminal state via REST)")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
controller = thread._controller
counter = _instrument_dedup_sync(controller)
thread.run.start(input={"messages": [], "value": "init", "items": []})
responder = auto_respond_sync(thread)
snapshots: list[dict] = []
dropped = False
iteration_error: BaseException | None = None
try:
for snap in thread.values:
snapshots.append(snap)
if (
not dropped
and controller is not None
and controller._shared_stream is not None
):
print(
f" dropping shared stream (cursor={controller._cursor})..."
)
controller._shared_stream.close()
dropped = True
except BaseException as err:
iteration_error = err
responder.join(timeout=10)
final = thread.output
print(f" snapshots seen before drop: {len(snapshots)}")
print(f" final items={final.get('items')!r}")
print(f" dedup drops={counter['drops']} yields={counter['yields']}")
print(f" iteration_error={iteration_error!r}")
assert dropped, "expected to drop the shared stream during iteration"
assert snapshots, "expected at least one snapshot before the drop"
assert iteration_error is None, (
f"values iterator raised on stream close: {iteration_error!r}"
)
assert final.get("items") == _EXPECTED_TERMINAL_ITEMS, (
f"terminal state not reached via REST after drop: "
f"items={final.get('items')!r}"
)
assert counter["drops"] == 0, (
f"unexpected dedup activity (drops={counter['drops']}); "
"no rotation occurred so no overlap was expected"
)
finally:
with contextlib.suppress(Exception):
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,107 +0,0 @@
"""Exercise `thread.subgraphs` against both example graphs.
Two passes:
1. `agent` (plain `StateGraph`): the parent calls a nested subgraph via
`subgraph.invoke(...)` from a node. This may or may not surface as a
v3 scoped child handle depending on how the server emits namespaces
for nested invokes included so we can compare behavior.
2. `deep_agent`: built with `create_deep_agent` + one `SubAgent`. The
supervisor's model is scripted to issue a `task(researcher, ...)`
call, which IS the path that produces a proper scoped child handle
on `thread.subgraphs`. This is the canonical exercise for the v3
scoped-subgraph surface.
"""
from __future__ import annotations
import asyncio
from _common import check_api_reachable, header, make_async_client, make_sync_client
async def _drain_subgraphs(thread) -> list:
"""Drain ``thread.subgraphs`` to a list of {path, messages} dicts.
The outer subgraphs iterator must complete before we deep-iterate
each handle's ``messages`` projection -- the same nested-iteration
deadlock pattern as ``thread.tool_calls`` (see
``test_tools.py``). So we first collect handles, then drain
each handle's messages serially.
"""
handles: list = [h async for h in thread.subgraphs]
children: list = []
for child in handles:
print(f" child handle path={child.path}")
# Just count handle paths; deep message iteration on scoped
# handles has its own draining pattern and isn't the goal of
# this test (which exercises subgraph discovery via
# child-namespace ``lifecycle: started``).
children.append({"path": child.path})
return children
def _drain_subgraphs_sync(thread) -> list:
handles = list(thread.subgraphs)
children: list = []
for child in handles:
print(f" child handle path={child.path}")
children.append({"path": child.path})
return children
async def run_async() -> None:
threads, raw = make_async_client()
try:
header("async subgraphs / agent (plain StateGraph)")
async with threads.stream(assistant_id="agent") as thread:
await thread.run.start(input={"messages": [], "value": "init", "items": []})
children = await _drain_subgraphs(thread)
print(f" agent: total subgraph handles: {len(children)}")
header("async subgraphs / deep_agent (create_deep_agent + SubAgent)")
async with threads.stream(assistant_id="deep_agent") as thread:
await thread.run.start(
input={
"messages": [{"role": "user", "content": "research the v3 spec"}]
},
)
children = await _drain_subgraphs(thread)
print(f" deep_agent: total subgraph handles: {len(children)}")
assert children, "deep_agent should produce at least one direct-child handle"
finally:
await raw.aclose()
def run_sync() -> None:
threads, raw = make_sync_client()
try:
header("sync subgraphs / agent")
with threads.stream(assistant_id="agent") as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
children = _drain_subgraphs_sync(thread)
print(f" agent: total subgraph handles: {len(children)}")
header("sync subgraphs / deep_agent")
with threads.stream(assistant_id="deep_agent") as thread:
thread.run.start(
input={
"messages": [{"role": "user", "content": "research the v3 spec"}]
},
)
children = _drain_subgraphs_sync(thread)
print(f" deep_agent: total subgraph handles: {len(children)}")
assert children, "deep_agent should produce at least one direct-child handle"
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,96 +0,0 @@
"""Exercise `thread.tool_calls` against the `tools_agent` graph.
`tools_agent` (`graph/tools_agent.py`) wraps a
`FakeMessagesListChatModel` in `create_agent` with a real `search`
tool. The first scripted model turn returns an `AIMessage` with a
`tool_calls=[search(query="v3")]`; langchain's tool node then executes
`search` and surfaces a `ToolMessage`; the second turn returns a final
`AIMessage("done.")` that terminates the agent.
Compared to `test_tool_calls.py` (which targets the synthetic
`streaming_graph` and never produces real tool-call telemetry), this
test verifies the v3 ``tools`` channel actually fires when the
canonical langchain-agent surface is in play.
Pattern note: `thread.tool_calls` yields handles incrementally, but
each handle's `deltas` and `output` are only completed when the
*outer* iterator processes the matching `tool-finished` event. Drain
the outer iterator to completion FIRST (via a list comprehension),
then inspect handles -- this is the same pattern used in
`tests/streaming/test_tool_calls_projection.py`. Iterating
`handle.deltas` while the outer iterator is still suspended at its
`yield` deadlocks.
"""
from __future__ import annotations
import asyncio
from _common import check_api_reachable, header, make_async_client, make_sync_client
TOOLS_ASSISTANT_ID = "tools_agent"
async def run_async() -> None:
header("async tools_agent tool_calls")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=TOOLS_ASSISTANT_ID) as thread:
await thread.run.start(
input={"messages": [{"role": "human", "content": "search for v3"}]}
)
# Drain the outer iterator first; lifecycle-terminal triggers
# the None sentinel via the shared SSE fanout once the run
# completes naturally.
handles = [h async for h in thread.tool_calls]
print(f" total handles: {len(handles)}")
for handle in handles:
deltas = [d async for d in handle.deltas]
output = await handle.output
joined = "".join(deltas)
print(
f" tool {handle.name}({handle.tool_call_id}): "
f"args_stream={joined!r} output={output!r}"
)
assert any(h.name == "search" for h in handles), (
"expected `search` tool call"
)
finally:
await raw.aclose()
def run_sync() -> None:
header("sync tools_agent tool_calls")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=TOOLS_ASSISTANT_ID) as thread:
thread.run.start(
input={"messages": [{"role": "human", "content": "search for v3"}]}
)
handles = list(thread.tool_calls)
print(f" total handles: {len(handles)}")
for handle in handles:
deltas = list(handle.deltas)
output = handle.output
joined = "".join(deltas)
print(
f" tool {handle.name}({handle.tool_call_id}): "
f"args_stream={joined!r} output={output!r}"
)
assert any(h.name == "search" for h in handles), (
"expected `search` tool call"
)
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,158 +0,0 @@
"""Exercise `threads.update_state(...)` mid-run against the integration API.
Flow:
1. Stream the canonical graph; `run.start` with `value="init"`.
2. Drain values until the interrupt fires at `ask_human`.
3. Call `threads.update_state(thread_id, {"value": "patched"})` to mutate
the persisted state while the run is paused.
4. Read state back via `threads.get_state(thread_id)` and assert
`state["values"]["value"] == "patched"`.
Why no respond afterwards: in langgraph-api, `update_state` against an
interrupted thread commits a new checkpoint that consumes the
outstanding interrupt. A subsequent `run.respond(...)` then fails with
`no_such_interrupt`. The meaningful integration invariant here is just
that the REST mutation lands on the same persisted thread the streaming
proxy was driving (no thread_id drift between client and server).
"""
from __future__ import annotations
import asyncio
import contextlib
import time
from _common import (
ASSISTANT_ID,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
from langgraph_sdk.errors import ConflictError
_PATCHED_VALUE = "patched"
_UPDATE_STATE_RETRY_BUDGET = 5.0
async def _update_state_with_retry_async(threads, thread_id: str, values: dict) -> None:
"""Retry update_state on ConflictError until the server's run row settles.
`thread.interrupted` flips when the client sees the `input.requested`
lifecycle event, which can land before the server commits the run row
to a non-busy state. Retry with backoff for a few seconds.
"""
delay = 0.05
deadline = asyncio.get_running_loop().time() + _UPDATE_STATE_RETRY_BUDGET
last_err: Exception | None = None
while asyncio.get_running_loop().time() < deadline:
try:
await threads.update_state(thread_id, values)
return
except ConflictError as err:
last_err = err
await asyncio.sleep(delay)
delay = min(delay * 2, 0.5)
raise AssertionError(
f"update_state never accepted within {_UPDATE_STATE_RETRY_BUDGET}s: {last_err!r}"
)
def _update_state_with_retry_sync(threads, thread_id: str, values: dict) -> None:
delay = 0.05
deadline = time.monotonic() + _UPDATE_STATE_RETRY_BUDGET
last_err: Exception | None = None
while time.monotonic() < deadline:
try:
threads.update_state(thread_id, values)
return
except ConflictError as err:
last_err = err
time.sleep(delay)
delay = min(delay * 2, 0.5)
raise AssertionError(
f"update_state never accepted within {_UPDATE_STATE_RETRY_BUDGET}s: {last_err!r}"
)
async def run_async() -> None:
header("async update_state during interrupt")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
await thread.run.start(input={"messages": [], "value": "init", "items": []})
async for _ in thread.values:
if thread.interrupted:
break
assert thread.interrupted, "expected interrupt before update_state"
pre_state = await threads.get_state(thread.thread_id)
pre_value = (pre_state.get("values") or {}).get("value")
print(f" pre-update value={pre_value!r}")
# `stream_message` overwrites value="init" with value="x" before the
# interrupt; verify we're starting from the expected pre-update state.
assert pre_value == "x", f"unexpected pre-update value: {pre_value!r}"
await _update_state_with_retry_async(
threads, thread.thread_id, {"value": _PATCHED_VALUE}
)
post_state = await threads.get_state(thread.thread_id)
post_values = post_state.get("values") or {}
post_value = post_values.get("value")
print(f" thread_id={thread.thread_id}")
print(f" post-update value={post_value!r}")
assert post_value == _PATCHED_VALUE, (
f"update_state did not persist: value={post_value!r}"
)
finally:
await raw.aclose()
def run_sync() -> None:
header("sync update_state during interrupt")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
for _ in thread.values:
if thread.interrupted:
break
assert thread.interrupted, "expected interrupt before update_state"
pre_state = threads.get_state(thread.thread_id)
pre_value = (pre_state.get("values") or {}).get("value")
print(f" pre-update value={pre_value!r}")
# `stream_message` overwrites value="init" with value="x" before the
# interrupt; verify we're starting from the expected pre-update state.
assert pre_value == "x", f"unexpected pre-update value: {pre_value!r}"
_update_state_with_retry_sync(
threads, thread.thread_id, {"value": _PATCHED_VALUE}
)
post_state = threads.get_state(thread.thread_id)
post_values = post_state.get("values") or {}
post_value = post_values.get("value")
print(f" thread_id={thread.thread_id}")
print(f" post-update value={post_value!r}")
assert post_value == _PATCHED_VALUE, (
f"update_state did not persist: value={post_value!r}"
)
finally:
with contextlib.suppress(Exception):
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,89 +0,0 @@
"""Exercise `thread.values` against the integration API.
The integration graph's `ask_human` node interrupts mid-run. The
projection iterators (`thread.values`, `.messages`, `.tool_calls`,
`.subgraphs`) do not terminate on interrupt they're paused, waiting
for more events. To drain the full run end-to-end we use a background
auto-responder that watches `thread.interrupted` and calls
`thread.run.respond(...)` so the run continues to the terminal.
Run after `docker compose up -d` from `libs/sdk-py/integration/`:
uv run python integration/scripts/test_values.py
"""
from __future__ import annotations
import asyncio
from _common import (
ASSISTANT_ID,
auto_respond_async,
auto_respond_sync,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
async def run_async() -> None:
header("async values")
threads, raw = make_async_client()
try:
async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
await thread.run.start(input={"messages": [], "value": "init", "items": []})
# Background task: respond to the interrupt so the iterator
# eventually sees terminal-completion events.
responder = auto_respond_async(thread)
snapshots: list[dict] = []
async for snap in thread.values:
snapshots.append(snap)
print(
f" values snapshot: items={snap.get('items')!r} value={snap.get('value')!r}"
)
await responder
final = await thread.output
print(f" final output items={final.get('items')!r}")
assert "sub" in final.get("items", []), "expected subgraph to have run"
finally:
await raw.aclose()
def run_sync() -> None:
header("sync values")
threads, raw = make_sync_client()
try:
with threads.stream(assistant_id=ASSISTANT_ID) as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
responder = auto_respond_sync(thread)
snapshots: list[dict] = []
for snap in thread.values:
snapshots.append(snap)
print(
f" values snapshot: items={snap.get('items')!r} value={snap.get('value')!r}"
)
responder.join(timeout=5)
final = thread.output
print(f" final output items={final.get('items')!r}")
assert "sub" in final.get("items", []), "expected subgraph to have run"
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
@@ -1,92 +0,0 @@
"""Exercise the WebSocket transport against the integration API.
Equivalent to `test_values.py` but with `transport="websocket"`.
"""
from __future__ import annotations
import asyncio
from _common import (
ASSISTANT_ID,
auto_respond_async,
auto_respond_sync,
check_api_reachable,
header,
make_async_client,
make_sync_client,
)
async def run_async() -> None:
header("async websocket transport")
threads, raw = make_async_client()
try:
async with threads.stream(
assistant_id=ASSISTANT_ID,
transport="websocket",
) as thread:
from langgraph_sdk.stream.transport import ProtocolWebSocketTransport
assert isinstance(thread._transport, ProtocolWebSocketTransport), (
f"expected ws transport, got {type(thread._transport).__name__}"
)
await thread.run.start(input={"messages": [], "value": "init", "items": []})
# The graph interrupts at `ask_human`; without a background
# responder the values iterator would pause indefinitely.
responder = auto_respond_async(thread)
snapshots: list[dict] = []
async for snap in thread.values:
snapshots.append(snap)
print(f" ws values snapshot items={snap.get('items')!r}")
await responder
final = await thread.output
print(f" final via ws: items={final.get('items')!r}")
assert "sub" in final.get("items", []), (
"expected subgraph to have run via ws transport"
)
finally:
await raw.aclose()
def run_sync() -> None:
header("sync websocket transport")
threads, raw = make_sync_client()
try:
with threads.stream(
assistant_id=ASSISTANT_ID,
transport="websocket",
) as thread:
thread.run.start(input={"messages": [], "value": "init", "items": []})
responder = auto_respond_sync(thread)
snapshots: list[dict] = []
for snap in thread.values:
snapshots.append(snap)
print(f" ws values snapshot items={snap.get('items')!r}")
responder.join(timeout=5)
final = thread.output
print(f" final via ws: items={final.get('items')!r}")
assert "sub" in final.get("items", []), (
"expected subgraph to have run via ws transport"
)
finally:
raw.close()
def main() -> None:
check_api_reachable()
asyncio.run(run_async())
run_sync()
if __name__ == "__main__":
main()
+1 -1
View File
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
from langgraph_sdk.encryption import Encryption
from langgraph_sdk.encryption.types import EncryptionContext
__version__ = "0.3.15"
__version__ = "0.3.14"
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
+9 -16
View File
@@ -8,7 +8,6 @@ from typing import Any, Literal, cast, overload
import httpx
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utilities import _quote_path_param
from langgraph_sdk.schema import (
Assistant,
AssistantSelectField,
@@ -85,9 +84,7 @@ class AssistantsClient:
```
"""
return await self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}",
headers=headers,
params=params,
f"/assistants/{assistant_id}", headers=headers, params=params
)
async def get_graph(
@@ -145,9 +142,7 @@ class AssistantsClient:
query_params.update(params)
return await self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/graph",
params=query_params,
headers=headers,
f"/assistants/{assistant_id}/graph", params=query_params, headers=headers
)
async def get_schemas(
@@ -268,9 +263,7 @@ class AssistantsClient:
"""
return await self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/schemas",
headers=headers,
params=params,
f"/assistants/{assistant_id}/schemas", headers=headers, params=params
)
async def get_subgraphs(
@@ -300,13 +293,13 @@ class AssistantsClient:
get_params = {**get_params, **dict(params)}
if namespace is not None:
return await self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/subgraphs/{_quote_path_param(namespace)}",
f"/assistants/{assistant_id}/subgraphs/{namespace}",
params=get_params,
headers=headers,
)
else:
return await self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/subgraphs",
f"/assistants/{assistant_id}/subgraphs",
params=get_params,
headers=headers,
)
@@ -443,7 +436,7 @@ class AssistantsClient:
if description:
payload["description"] = description
return await self.http.patch(
f"/assistants/{_quote_path_param(assistant_id)}",
f"/assistants/{assistant_id}",
json=payload,
headers=headers,
params=params,
@@ -486,7 +479,7 @@ class AssistantsClient:
if params:
query_params.update(params)
await self.http.delete(
f"/assistants/{_quote_path_param(assistant_id)}",
f"/assistants/{assistant_id}",
headers=headers,
params=query_params or None,
)
@@ -693,7 +686,7 @@ class AssistantsClient:
if metadata:
payload["metadata"] = metadata
return await self.http.post(
f"/assistants/{_quote_path_param(assistant_id)}/versions",
f"/assistants/{assistant_id}/versions",
json=payload,
headers=headers,
params=params,
@@ -733,7 +726,7 @@ class AssistantsClient:
payload: dict[str, Any] = {"version": version}
return await self.http.post(
f"/assistants/{_quote_path_param(assistant_id)}/latest",
f"/assistants/{assistant_id}/latest",
json=payload,
headers=headers,
params=params,
+3 -3
View File
@@ -110,7 +110,7 @@ def get_client(
if url is None:
url = "http://api"
if os.environ.get("__LANGGRAPH_DEFER_LOOPBACK_TRANSPORT") == "true":
transport = get_asgi_transport()(app=None, root_path="/noauth") # ty: ignore[invalid-argument-type]
transport = get_asgi_transport()(app=None, root_path="/noauth") # type: ignore[invalid-argument-type]
_registered_transports.append(transport)
else:
try:
@@ -122,7 +122,7 @@ def get_client(
"Failed to connect to in-process LangGraph server. Deferring configuration.",
exc_info=True,
)
transport = get_asgi_transport()(app=None, root_path="/noauth") # ty: ignore[invalid-argument-type]
transport = get_asgi_transport()(app=None, root_path="/noauth") # type: ignore[invalid-argument-type]
_registered_transports.append(transport)
if transport is None:
@@ -131,7 +131,7 @@ def get_client(
base_url=url,
transport=transport,
timeout=(
httpx.Timeout(timeout) # ty: ignore[invalid-argument-type]
httpx.Timeout(timeout) # type: ignore[arg-type]
if timeout is not None
else httpx.Timeout(connect=5, read=300, write=300, pool=5)
),
+4 -17
View File
@@ -8,7 +8,7 @@ from datetime import datetime, tzinfo
from typing import Any
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utilities import _quote_path_param, _resolve_timezone
from langgraph_sdk._shared.utilities import _resolve_timezone
from langgraph_sdk.schema import (
All,
Config,
@@ -18,7 +18,6 @@ from langgraph_sdk.schema import (
CronSortBy,
Durability,
Input,
Json,
OnCompletionBehavior,
QueryParamTypes,
Run,
@@ -166,7 +165,7 @@ class CronClient:
payload["multitask_strategy"] = multitask_strategy
payload = {k: v for k, v in payload.items() if v is not None}
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/runs/crons",
f"/threads/{thread_id}/runs/crons",
json=payload,
headers=headers,
params=params,
@@ -315,9 +314,7 @@ class CronClient:
```
"""
await self.http.delete(
f"/runs/crons/{_quote_path_param(cron_id)}", headers=headers, params=params
)
await self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)
async def update(
self,
@@ -404,7 +401,7 @@ class CronClient:
}
payload = {k: v for k, v in payload.items() if v is not None}
return await self.http.patch(
f"/runs/crons/{_quote_path_param(cron_id)}",
f"/runs/crons/{cron_id}",
json=payload,
headers=headers,
params=params,
@@ -416,7 +413,6 @@ class CronClient:
assistant_id: str | None = None,
thread_id: str | None = None,
enabled: bool | None = None,
metadata: Json = None,
limit: int = 10,
offset: int = 0,
sort_by: CronSortBy | None = None,
@@ -431,8 +427,6 @@ class CronClient:
assistant_id: The assistant ID or graph name to search for.
thread_id: the thread ID to search for.
enabled: The enabled status to search for.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
limit: The maximum number of results to return.
offset: The number of results to skip.
headers: Optional custom headers to include with the request.
@@ -487,8 +481,6 @@ class CronClient:
"limit": limit,
"offset": offset,
}
if metadata:
payload["metadata"] = metadata
if sort_by:
payload["sort_by"] = sort_by
if sort_order:
@@ -505,7 +497,6 @@ class CronClient:
*,
assistant_id: str | None = None,
thread_id: str | None = None,
metadata: Json = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> int:
@@ -514,8 +505,6 @@ class CronClient:
Args:
assistant_id: Assistant ID to filter by.
thread_id: Thread ID to filter by.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -527,8 +516,6 @@ class CronClient:
payload["assistant_id"] = assistant_id
if thread_id:
payload["thread_id"] = thread_id
if metadata:
payload["metadata"] = metadata
return await self.http.post(
"/runs/crons/count", json=payload, headers=headers, params=params
)
+11 -20
View File
@@ -12,7 +12,6 @@ import httpx
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utilities import (
_get_run_metadata_from_response,
_quote_path_param,
_sse_to_v2_dict,
)
from langgraph_sdk.schema import (
@@ -50,7 +49,7 @@ async def _wrap_stream_v2(
async for part in raw:
v2 = _sse_to_v2_dict(part.event, part.data)
if v2 is not None:
yield v2 # ty: ignore[invalid-yield]
yield v2
class RunsClient:
@@ -338,7 +337,7 @@ class RunsClient:
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
f"/threads/{_quote_path_param(thread_id)}/runs/stream"
f"/threads/{thread_id}/runs/stream"
if thread_id is not None
else "/runs/stream"
)
@@ -597,7 +596,7 @@ class RunsClient:
on_run_created(metadata)
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/runs" if thread_id else "/runs",
f"/threads/{thread_id}/runs" if thread_id else "/runs",
json=payload,
params=params,
headers=headers,
@@ -822,9 +821,7 @@ class RunsClient:
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
f"/threads/{_quote_path_param(thread_id)}/runs/wait"
if thread_id is not None
else "/runs/wait"
f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
)
def on_response(res: httpx.Response):
@@ -898,9 +895,7 @@ class RunsClient:
if params:
query_params.update(params)
return await self.http.get(
f"/threads/{_quote_path_param(thread_id)}/runs",
params=query_params,
headers=headers,
f"/threads/{thread_id}/runs", params=query_params, headers=headers
)
async def get(
@@ -935,9 +930,7 @@ class RunsClient:
"""
return await self.http.get(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
headers=headers,
params=params,
f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
)
async def cancel(
@@ -985,14 +978,14 @@ class RunsClient:
query_params.update(params)
if wait:
return await self.http.request_reconnect(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
f"/threads/{thread_id}/runs/{run_id}/cancel",
"POST",
params=query_params,
headers=headers,
)
else:
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
f"/threads/{thread_id}/runs/{run_id}/cancel",
json=None,
params=query_params,
headers=headers,
@@ -1088,7 +1081,7 @@ class RunsClient:
"""
return await self.http.request_reconnect(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/join",
f"/threads/{thread_id}/runs/{run_id}/join",
"GET",
headers=headers,
params=params,
@@ -1143,7 +1136,7 @@ class RunsClient:
if params:
query_params.update(params)
return self.http.stream(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/stream",
f"/threads/{thread_id}/runs/{run_id}/stream",
"GET",
params=query_params,
headers={
@@ -1184,7 +1177,5 @@ class RunsClient:
"""
await self.http.delete(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
headers=headers,
params=params,
f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
)
File diff suppressed because it is too large Load Diff
+10 -67
View File
@@ -2,13 +2,10 @@
from __future__ import annotations
import uuid
from collections.abc import AsyncIterator, Mapping, Sequence
from typing import Any, Literal, overload
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._async.stream import AsyncThreadStream
from langgraph_sdk._shared.utilities import _quote_path_param
from langgraph_sdk.schema import (
Checkpoint,
Json,
@@ -93,7 +90,7 @@ class ThreadsClient:
if params:
query_params.update(params)
return await self.http.get(
f"/threads/{_quote_path_param(thread_id)}",
f"/threads/{thread_id}",
headers=headers,
params=query_params or None,
)
@@ -257,7 +254,7 @@ class ThreadsClient:
if return_minimal:
request_headers["Prefer"] = "return=minimal"
return await self.http.patch(
f"/threads/{_quote_path_param(thread_id)}",
f"/threads/{thread_id}",
json=payload,
headers=request_headers or None,
params=params,
@@ -290,9 +287,7 @@ class ThreadsClient:
```
"""
await self.http.delete(
f"/threads/{_quote_path_param(thread_id)}", headers=headers, params=params
)
await self.http.delete(f"/threads/{thread_id}", headers=headers, params=params)
async def search(
self,
@@ -435,10 +430,7 @@ class ThreadsClient:
"""
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/copy",
json=None,
headers=headers,
params=params,
f"/threads/{thread_id}/copy", json=None, headers=headers, params=params
)
async def prune(
@@ -594,7 +586,7 @@ class ThreadsClient:
"""
if checkpoint:
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/state/checkpoint",
f"/threads/{thread_id}/state/checkpoint",
json={"checkpoint": checkpoint, "subgraphs": subgraphs},
headers=headers,
params=params,
@@ -604,7 +596,7 @@ class ThreadsClient:
if params:
get_params = {**get_params, **dict(params)}
return await self.http.get(
f"/threads/{_quote_path_param(thread_id)}/state/{_quote_path_param(checkpoint_id)}",
f"/threads/{thread_id}/state/{checkpoint_id}",
params=get_params,
headers=headers,
)
@@ -613,7 +605,7 @@ class ThreadsClient:
if params:
get_params = {**get_params, **dict(params)}
return await self.http.get(
f"/threads/{_quote_path_param(thread_id)}/state",
f"/threads/{thread_id}/state",
params=get_params,
headers=headers,
)
@@ -678,10 +670,7 @@ class ThreadsClient:
if as_node:
payload["as_node"] = as_node
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/state",
json=payload,
headers=headers,
params=params,
f"/threads/{thread_id}/state", json=payload, headers=headers, params=params
)
async def get_history(
@@ -730,58 +719,12 @@ class ThreadsClient:
if checkpoint:
payload["checkpoint"] = checkpoint
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/history",
f"/threads/{thread_id}/history",
json=payload,
headers=headers,
params=params,
)
def stream(
self,
thread_id: str | None = None,
*,
assistant_id: str,
headers: Mapping[str, str] | None = None,
run_start_timeout: float | None = None,
transport: Literal["sse", "websocket"] = "sse",
) -> AsyncThreadStream:
"""Open a v3 thread-centric streaming session.
When `thread_id` is None, a fresh UUIDv4 is minted client-side and
included in the URL of subsequent `POST /threads/{thread_id}/...`
calls. The server creates the thread row lazily on the first
`run.start` (internal server detail the SDK does not send any
`if_not_exists` flag). The v3 protocol response carries only
`run_id`, never `thread_id` that's why the SDK mints the id
client-side.
Args:
thread_id: optional explicit thread identifier. Defaults to a
fresh UUIDv4.
assistant_id: assistant the run will use. Required.
headers: optional headers forwarded on every command and event
request for this stream session.
run_start_timeout: optional seconds to wait for an in-flight
`run.start` before subscribing operations raise
`asyncio.TimeoutError`. Defaults to `None` (wait forever).
transport: event transport to use `"sse"` (default) or
`"websocket"`.
Returns:
An `AsyncThreadStream` to use as an async context manager.
"""
if transport not in ("sse", "websocket"):
raise ValueError("transport must be 'sse' or 'websocket'.")
return AsyncThreadStream(
http=self.http,
thread_id=thread_id if thread_id is not None else str(uuid.uuid4()),
assistant_id=assistant_id,
headers=headers,
run_start_timeout=run_start_timeout,
explicit_thread_id=thread_id is not None,
transport_kind=transport,
)
async def join_stream(
self,
thread_id: str,
@@ -820,7 +763,7 @@ class ThreadsClient:
if params:
query_params.update(params)
return self.http.stream(
f"/threads/{_quote_path_param(thread_id)}/stream",
f"/threads/{thread_id}/stream",
"GET",
headers={
**({"Last-Event-ID": last_event_id} if last_event_id else {}),
+4 -38
View File
@@ -8,7 +8,7 @@ import re
from collections.abc import Mapping
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, cast
from urllib.parse import quote, urlparse
from urllib.parse import urlparse
import httpx
@@ -144,9 +144,8 @@ def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
return tz
if isinstance(tz, tzinfo):
# ZoneInfo objects have a .key attribute with the IANA name
key = getattr(tz, "key", None)
if isinstance(key, str):
return key
if hasattr(tz, "key"):
return tz.key # type: ignore[union-attr]
# Fall back to tzname for fixed-offset timezones like datetime.timezone.utc
name = tz.tzname(None)
if name is not None:
@@ -198,39 +197,6 @@ def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
return {k: v for k, v in d.items() if v is not None}
def _quote_path_param(value: Any) -> str:
"""Encode a value for safe interpolation into a request path segment.
Path segments are encoded with ``safe=""`` so that ``/`` and other reserved
characters are escaped. Standalone dot-segments (``.`` and ``..``) are also
encoded because some URL-handling stacks (including ``httpx``) collapse
them client-side as relative-path traversal before transmission. The value
is coerced to ``str`` so callers can pass ``uuid.UUID`` and similar types
directly without changing call sites.
A properly formed identifier (for example, a standard UUID, which contains
no dots or reserved characters) round-trips through this function
unchanged.
Raises:
TypeError: If `value` is `None` or a `bytes`/`bytearray` instance.
Coercing those would produce misleading paths (e.g. `/threads/None`),
so surface the caller bug instead.
"""
if value is None:
raise TypeError("path parameter must not be None")
if isinstance(value, (bytes, bytearray)):
raise TypeError("path parameter must not be bytes; pass a str or uuid.UUID")
quoted = quote(str(value), safe="")
# Bare "." or ".." (or any all-dot string) acts as a relative-path segment
# that some HTTP stacks (including ``httpx``) collapse client-side before
# transmission. Encode the dots so the segment becomes opaque to that
# logic. Mixed values like "agent.v1" are unaffected.
if quoted and all(c == "." for c in quoted):
quoted = "%2E" * len(quoted)
return quoted
_registered_transports: list[httpx.ASGITransport] = []
@@ -243,7 +209,7 @@ def configure_loopback_transports(app: Any) -> None:
@functools.lru_cache(maxsize=1)
def get_asgi_transport() -> type[httpx.ASGITransport]:
try:
from langgraph_api import asgi_transport # ty: ignore[unresolved-import]
from langgraph_api import asgi_transport # type: ignore[unresolved-import]
return asgi_transport.ASGITransport
except ImportError:
+9 -16
View File
@@ -7,7 +7,6 @@ from typing import Any, Literal, cast, overload
import httpx
from langgraph_sdk._shared.utilities import _quote_path_param
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
Assistant,
@@ -84,9 +83,7 @@ class SyncAssistantsClient:
"""
return self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}",
headers=headers,
params=params,
f"/assistants/{assistant_id}", headers=headers, params=params
)
def get_graph(
@@ -139,9 +136,7 @@ class SyncAssistantsClient:
if params:
query_params.update(params)
return self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/graph",
params=query_params,
headers=headers,
f"/assistants/{assistant_id}/graph", params=query_params, headers=headers
)
def get_schemas(
@@ -274,9 +269,7 @@ class SyncAssistantsClient:
"""
return self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/schemas",
headers=headers,
params=params,
f"/assistants/{assistant_id}/schemas", headers=headers, params=params
)
def get_subgraphs(
@@ -304,13 +297,13 @@ class SyncAssistantsClient:
get_params = {**get_params, **dict(params)}
if namespace is not None:
return self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/subgraphs/{_quote_path_param(namespace)}",
f"/assistants/{assistant_id}/subgraphs/{namespace}",
params=get_params,
headers=headers,
)
else:
return self.http.get(
f"/assistants/{_quote_path_param(assistant_id)}/subgraphs",
f"/assistants/{assistant_id}/subgraphs",
params=get_params,
headers=headers,
)
@@ -445,7 +438,7 @@ class SyncAssistantsClient:
if description:
payload["description"] = description
return self.http.patch(
f"/assistants/{_quote_path_param(assistant_id)}",
f"/assistants/{assistant_id}",
json=payload,
headers=headers,
params=params,
@@ -488,7 +481,7 @@ class SyncAssistantsClient:
if params:
query_params.update(params)
self.http.delete(
f"/assistants/{_quote_path_param(assistant_id)}",
f"/assistants/{assistant_id}",
headers=headers,
params=query_params or None,
)
@@ -692,7 +685,7 @@ class SyncAssistantsClient:
if metadata:
payload["metadata"] = metadata
return self.http.post(
f"/assistants/{_quote_path_param(assistant_id)}/versions",
f"/assistants/{assistant_id}/versions",
json=payload,
headers=headers,
params=params,
@@ -731,7 +724,7 @@ class SyncAssistantsClient:
payload: dict[str, Any] = {"version": version}
return self.http.post(
f"/assistants/{_quote_path_param(assistant_id)}/latest",
f"/assistants/{assistant_id}/latest",
json=payload,
headers=headers,
params=params,
+1 -1
View File
@@ -77,7 +77,7 @@ def get_sync_client(
base_url=url,
transport=transport,
timeout=(
httpx.Timeout(timeout) # ty: ignore[invalid-argument-type]
httpx.Timeout(timeout) # type: ignore[arg-type]
if timeout is not None
else httpx.Timeout(connect=5, read=300, write=300, pool=5)
),
+4 -17
View File
@@ -7,7 +7,7 @@ from collections.abc import Mapping, Sequence
from datetime import datetime, tzinfo
from typing import Any
from langgraph_sdk._shared.utilities import _quote_path_param, _resolve_timezone
from langgraph_sdk._shared.utilities import _resolve_timezone
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
All,
@@ -18,7 +18,6 @@ from langgraph_sdk.schema import (
CronSortBy,
Durability,
Input,
Json,
OnCompletionBehavior,
QueryParamTypes,
Run,
@@ -156,7 +155,7 @@ class SyncCronClient:
}
payload = {k: v for k, v in payload.items() if v is not None}
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/runs/crons",
f"/threads/{thread_id}/runs/crons",
json=payload,
headers=headers,
params=params,
@@ -304,9 +303,7 @@ class SyncCronClient:
```
"""
self.http.delete(
f"/runs/crons/{_quote_path_param(cron_id)}", headers=headers, params=params
)
self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)
def update(
self,
@@ -393,7 +390,7 @@ class SyncCronClient:
}
payload = {k: v for k, v in payload.items() if v is not None}
return self.http.patch(
f"/runs/crons/{_quote_path_param(cron_id)}",
f"/runs/crons/{cron_id}",
json=payload,
headers=headers,
params=params,
@@ -405,7 +402,6 @@ class SyncCronClient:
assistant_id: str | None = None,
thread_id: str | None = None,
enabled: bool | None = None,
metadata: Json = None,
limit: int = 10,
offset: int = 0,
sort_by: CronSortBy | None = None,
@@ -420,8 +416,6 @@ class SyncCronClient:
assistant_id: The assistant ID or graph name to search for.
thread_id: the thread ID to search for.
enabled: Whether the cron job is enabled.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
limit: The maximum number of results to return.
offset: The number of results to skip.
headers: Optional custom headers to include with the request.
@@ -474,8 +468,6 @@ class SyncCronClient:
"limit": limit,
"offset": offset,
}
if metadata:
payload["metadata"] = metadata
if sort_by:
payload["sort_by"] = sort_by
if sort_order:
@@ -492,7 +484,6 @@ class SyncCronClient:
*,
assistant_id: str | None = None,
thread_id: str | None = None,
metadata: Json = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> int:
@@ -501,8 +492,6 @@ class SyncCronClient:
Args:
assistant_id: Assistant ID to filter by.
thread_id: Thread ID to filter by.
metadata: Metadata to filter by. Exact match filter for each KV pair.
!!! version-added "Added in Agent Server version 0.9.0"
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -514,8 +503,6 @@ class SyncCronClient:
payload["assistant_id"] = assistant_id
if thread_id:
payload["thread_id"] = thread_id
if metadata:
payload["metadata"] = metadata
return self.http.post(
"/runs/crons/count", json=payload, headers=headers, params=params
)
+11 -20
View File
@@ -11,7 +11,6 @@ import httpx
from langgraph_sdk._shared.utilities import (
_get_run_metadata_from_response,
_quote_path_param,
_sse_to_v2_dict,
)
from langgraph_sdk._sync.http import SyncHttpClient
@@ -50,7 +49,7 @@ def _wrap_stream_v2_sync(
for part in raw:
v2 = _sse_to_v2_dict(part.event, part.data)
if v2 is not None:
yield v2 # ty: ignore[invalid-yield]
yield v2
class SyncRunsClient:
@@ -333,7 +332,7 @@ class SyncRunsClient:
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
f"/threads/{_quote_path_param(thread_id)}/runs/stream"
f"/threads/{thread_id}/runs/stream"
if thread_id is not None
else "/runs/stream"
)
@@ -592,7 +591,7 @@ class SyncRunsClient:
on_run_created(metadata)
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/runs" if thread_id else "/runs",
f"/threads/{thread_id}/runs" if thread_id else "/runs",
json=payload,
params=params,
headers=headers,
@@ -826,9 +825,7 @@ class SyncRunsClient:
on_run_created(metadata)
endpoint = (
f"/threads/{_quote_path_param(thread_id)}/runs/wait"
if thread_id is not None
else "/runs/wait"
f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
)
return self.http.request_reconnect(
endpoint,
@@ -882,9 +879,7 @@ class SyncRunsClient:
if params:
query_params.update(params)
return self.http.get(
f"/threads/{_quote_path_param(thread_id)}/runs",
params=query_params,
headers=headers,
f"/threads/{thread_id}/runs", params=query_params, headers=headers
)
def get(
@@ -917,9 +912,7 @@ class SyncRunsClient:
"""
return self.http.get(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
headers=headers,
params=params,
f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
)
def cancel(
@@ -967,14 +960,14 @@ class SyncRunsClient:
query_params.update(params)
if wait:
return self.http.request_reconnect(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
f"/threads/{thread_id}/runs/{run_id}/cancel",
"POST",
json=None,
params=query_params,
headers=headers,
)
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
f"/threads/{thread_id}/runs/{run_id}/cancel",
json=None,
params=query_params,
headers=headers,
@@ -1070,7 +1063,7 @@ class SyncRunsClient:
"""
return self.http.request_reconnect(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/join",
f"/threads/{thread_id}/runs/{run_id}/join",
"GET",
headers=headers,
params=params,
@@ -1124,7 +1117,7 @@ class SyncRunsClient:
if params:
query_params.update(params)
return self.http.stream(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/stream",
f"/threads/{thread_id}/runs/{run_id}/stream",
"GET",
params=query_params,
headers={
@@ -1165,7 +1158,5 @@ class SyncRunsClient:
"""
self.http.delete(
f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
headers=headers,
params=params,
f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
)
File diff suppressed because it is too large Load Diff
+10 -56
View File
@@ -2,13 +2,10 @@
from __future__ import annotations
import uuid
from collections.abc import Iterator, Mapping, Sequence
from typing import Any, Literal, overload
from langgraph_sdk._shared.utilities import _quote_path_param
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk._sync.stream import SyncThreadStream
from langgraph_sdk.schema import (
Checkpoint,
Json,
@@ -91,7 +88,7 @@ class SyncThreadsClient:
if params:
query_params.update(params)
return self.http.get(
f"/threads/{_quote_path_param(thread_id)}",
f"/threads/{thread_id}",
headers=headers,
params=query_params or None,
)
@@ -253,7 +250,7 @@ class SyncThreadsClient:
if return_minimal:
request_headers["Prefer"] = "return=minimal"
return self.http.patch(
f"/threads/{_quote_path_param(thread_id)}",
f"/threads/{thread_id}",
json=payload,
headers=request_headers or None,
params=params,
@@ -285,9 +282,7 @@ class SyncThreadsClient:
```
"""
self.http.delete(
f"/threads/{_quote_path_param(thread_id)}", headers=headers, params=params
)
self.http.delete(f"/threads/{thread_id}", headers=headers, params=params)
def search(
self,
@@ -426,10 +421,7 @@ class SyncThreadsClient:
"""
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/copy",
json=None,
headers=headers,
params=params,
f"/threads/{thread_id}/copy", json=None, headers=headers, params=params
)
def prune(
@@ -584,7 +576,7 @@ class SyncThreadsClient:
"""
if checkpoint:
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/state/checkpoint",
f"/threads/{thread_id}/state/checkpoint",
json={"checkpoint": checkpoint, "subgraphs": subgraphs},
headers=headers,
params=params,
@@ -594,7 +586,7 @@ class SyncThreadsClient:
if params:
get_params = {**get_params, **dict(params)}
return self.http.get(
f"/threads/{_quote_path_param(thread_id)}/state/{_quote_path_param(checkpoint_id)}",
f"/threads/{thread_id}/state/{checkpoint_id}",
params=get_params,
headers=headers,
)
@@ -603,7 +595,7 @@ class SyncThreadsClient:
if params:
get_params = {**get_params, **dict(params)}
return self.http.get(
f"/threads/{_quote_path_param(thread_id)}/state",
f"/threads/{thread_id}/state",
params=get_params,
headers=headers,
)
@@ -665,10 +657,7 @@ class SyncThreadsClient:
if as_node:
payload["as_node"] = as_node
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/state",
json=payload,
headers=headers,
params=params,
f"/threads/{thread_id}/state", json=payload, headers=headers, params=params
)
def get_history(
@@ -718,47 +707,12 @@ class SyncThreadsClient:
if checkpoint:
payload["checkpoint"] = checkpoint
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/history",
f"/threads/{thread_id}/history",
json=payload,
headers=headers,
params=params,
)
def stream(
self,
thread_id: str | None = None,
*,
assistant_id: str,
headers: Mapping[str, str] | None = None,
run_start_timeout: float | None = None,
transport: Literal["sse", "websocket"] = "sse",
) -> SyncThreadStream:
"""Open a v3 thread-centric streaming session.
Args:
thread_id: optional explicit thread identifier. Defaults to a
fresh UUIDv4.
assistant_id: assistant the run will use. Required.
headers: optional headers forwarded on every command and SSE
request for this stream session.
transport: event transport to use, `"sse"` (default) or
`"websocket"`.
Returns:
A `SyncThreadStream` to use as a context manager.
"""
if transport not in ("sse", "websocket"):
raise ValueError("transport must be 'sse' or 'websocket'.")
return SyncThreadStream(
http=self.http,
thread_id=thread_id if thread_id is not None else str(uuid.uuid4()),
assistant_id=assistant_id,
headers=headers,
run_start_timeout=run_start_timeout,
explicit_thread_id=thread_id is not None,
transport_kind=transport,
)
def join_stream(
self,
thread_id: str,
@@ -798,7 +752,7 @@ class SyncThreadsClient:
if params:
query_params.update(params)
return self.http.stream(
f"/threads/{_quote_path_param(thread_id)}/stream",
f"/threads/{thread_id}/stream",
"GET",
headers={
**({"Last-Event-ID": last_event_id} if last_event_id else {}),
+5 -8
View File
@@ -16,10 +16,10 @@ T = TypeVar("T")
CacheStatus = Literal["miss", "fresh", "stale", "expired"]
try:
from langgraph_api.cache import ( # ty: ignore[unresolved-import]
from langgraph_api.cache import ( # type: ignore[unresolved-import]
cache_get as _cache_get,
)
from langgraph_api.cache import ( # ty: ignore[unresolved-import]
from langgraph_api.cache import ( # type: ignore[unresolved-import]
cache_set as _cache_set,
)
except ImportError:
@@ -28,8 +28,8 @@ except ImportError:
try:
from langgraph_api.cache import SWRResult # ty: ignore[unresolved-import]
from langgraph_api.cache import swr as _api_swr # ty: ignore[unresolved-import]
from langgraph_api.cache import SWRResult # type: ignore[unresolved-import]
from langgraph_api.cache import swr as _api_swr # type: ignore[unresolved-import]
except ImportError:
_api_swr = None
@@ -40,10 +40,7 @@ except ImportError:
value: T
status: CacheStatus
async def mutate(
self,
value: T = ..., # ty: ignore[invalid-parameter-default]
) -> T: # ty: ignore[empty-body]
async def mutate(self, value: T = ...) -> T: # type: ignore[assignment]
"""Update or revalidate the cached value."""
...
+1 -1
View File
@@ -37,7 +37,7 @@ class APIError(httpx.HTTPStatusError, LangGraphError):
req = response_or_request
response = None
httpx.HTTPStatusError.__init__(self, message, request=req, response=response) # ty: ignore[invalid-argument-type]
httpx.HTTPStatusError.__init__(self, message, request=req, response=response) # type: ignore[arg-type]
LangGraphError.__init__(self, message)
self.request = req

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