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Author SHA1 Message Date
Nick HollonandGitHub 4dde40000f Merge branch 'main' into nh/namespace-keyed-subagents 2026-05-08 14:01:05 -04:00
Nick Hollon 8de6eb4eab rename LifecyclePayload.cause to metadata
`metadata` reads more neutrally than `cause` — the field carries
descriptive info about what the lifecycle event is for, not a
strict causal relationship. Wire field, docstrings, and tests updated.
2026-05-08 13:57:58 -04:00
Nick Hollon c6dc0c32c1 broaden graph_name docstring beyond add_node-only case
The namespace segment name is whatever pregel registered the
dispatching node as in the parent scope (`_algo.py:615`/`:988`),
not specifically an `add_node` mount. For a subagent invoked from
inside a tool's body, that's the tool's name; for Send fan-out,
the target node's name.
2026-05-08 11:43:04 -04:00
Nick Hollon 58e0773ec6 rename trigger_call_id to parent_task_id
Pregel doesn't have a "call" concept — its unit of work is a task. The
namespace segment after `:` is documented in `_internal/_constants.py`
as the `task_id` ("for checkpoint_ns, for each level, separates the
namespace from the task_id"), and "parent task" already shows up as
existing pregel vocabulary (`_algo.py`, `_runner.py`).

`parent_task_id` matches that vocabulary: from the child subgraph's
perspective, the id we carry on every lifecycle event identifies the
task in the parent scope whose execution dispatched this subgraph.
Renames the wire field, the `SubgraphRunStream.parent_task_id`
attribute, all internal parameter / variable names, and the test
identifiers.
2026-05-08 11:38:27 -04:00
Nick Hollon 8c4bfa6d07 slim lifecycle.cause to {type, tool_call_id}, require trigger_call_id
The args-mining of `subagent_type` and `description` coupled the
streaming layer to one specific tool's args schema (the deepagents
`task` tool). Drop it: cause now carries only `{type: "tool_call",
tool_call_id}`. Args still live on the AIMessage's `tool_calls[i].args`
where they originate — consumers that want descriptive intent look
them up there via the `tool_call_id` join, keeping one source of truth.

Also promote `trigger_call_id` from `NotRequired` to required and
emit it on every event (started + every terminal path). Consumers
no longer need a namespace fallback to correlate `started` ↔ terminal
events for the same subgraph instance.

Renames:
- `_extract_per_call_args` -> `_extract_dispatching_tool_call_id`
  (now returns just `str | None`)
- `_record_invocation_metadata` -> `_record_dispatching_tool_call_id`
- `_invocation_metadata` cache -> `_dispatching_tool_call_id`
- `_on_started` parameter `invocation_metadata` -> `tool_call_id`
- `_on_terminal` gains a `trigger_call_id` parameter; `_pop_terminal_transitions`
  yields it through the tuple

Tests refreshed: cause-shape assertions reflect the slimmed payload,
new `test_trigger_call_id_present_on_every_terminal_path` covers all
five terminal exit paths, list-shape robustness test re-aimed at
missing `id` instead of missing args.
2026-05-08 10:57:29 -04:00
Nick Hollon ee9e234da0 rename SubgraphStatus to LifecycleEvent, add per-field/value docs
`SubgraphStatus` was misleading — values like `started` are transitions,
not statuses, and the field on `LifecyclePayload` is already called
`event`. Rename the type alias to `LifecycleEvent` so the type and the
field agree. Add a block docstring on the alias enumerating each value's
trigger condition, and add per-field docstrings on `LifecyclePayload`
(`event` / `namespace` / `graph_name` / `trigger_call_id` / `error`),
matching the style already used for `cause`. No behaviour change.
2026-05-08 10:42:39 -04:00
Nick Hollon fc297fc576 stop naming ToolCallWithContext in lifecycle docstrings
`ToolCallWithContext` is an internal prebuilt type — public-facing
docstrings shouldn't be calling it out by name. Describe the two
recognised per-call envelope shapes (single-element list of tool-call
dicts, dict wrapping a `tool_call`) by structure instead, and lead
with the list shape since that's what `langchain.agents.create_agent`
currently dispatches.
2026-05-08 10:04:49 -04:00
Nick Hollon 837e1ba6d2 extract per-call args helper, evict invocation cache after consumption
- Pull the two-shape duck-typing out of `_record_invocation_metadata`
  into a module-level `_extract_per_call_args` helper so the recording
  method is a clean three-step flow (validate task_id, parse shape,
  mine fields).
- Pop `_invocation_metadata` entries when consumed in `_handle_task_start`
  to prevent unbounded per-stream-call growth on long subagent runs.
- Fix stale `_on_started` parameter name in `_TasksLifecycleBase` class
  docstring (was `tool_call_id`, now `invocation_metadata`).
- Add regression test `test_parallel_dispatches_attributed_to_correct_parent`
  exercising the actual bug the trigger_call_id join defends against:
  two parents with identical subagent_type but distinct descriptions
  must each get their own cause attributed via trigger_call_id.
2026-05-08 09:37:23 -04:00
Nick Hollon 22d4ccaa3b feat(langgraph): expose tool_call_id on lifecycle.started.cause
Capture the model-side tool_call_id alongside subagent_type/description
when mining per-call envelopes (both ToolCallWithContext dict and the
single-element list shape), and surface it under cause['tool_call_id'].
Identity-level correlation across lifecycle events still uses
trigger_call_id (the pregel task id, unique per-call); tool_call_id is
purely anchoring metadata so UI consumers can map a lifecycle event
back to the AI message tool call that dispatched it. The per-call Send
fan-out makes tool_call_id ↔ trigger_call_id 1:1, so re-introducing it
here doesn't reintroduce the parallel-call conflation that motivated
its earlier removal.
2026-05-07 23:47:52 -04:00
Nick Hollon 4504f85157 refactor(transformers): rename spawn_metadata to invocation_metadata 2026-05-07 16:54:19 -04:00
Nick Hollon 30b0ebe5bf fix(transformers): also mine spawn metadata from list-shape per-call input
langchain v1 create_agent dispatches tool calls via Send("tools",
[tool_call]) — a single-element list of tool-call dicts, not the
ToolCallWithContext dict envelope used by langgraph prebuilt's
create_agent. Both shapes need to feed _record_spawn_metadata so
lifecycle.started.cause carries subagent_type / description
regardless of which agent factory drove the dispatch.
2026-05-07 16:54:19 -04:00
Nick Hollon d3a5a6e283 refactor(transformers): drop tool_call_id from LifecyclePayload.cause
Cause now carries spawn intent metadata (subagent_type, description)
mined from the per-call task's ToolCallWithContext input, keyed off
the existing trigger_call_id (pregel task id) which is unique per
spawn. Tool_call_id is no longer needed as a join key — consumers
that want the model-layer id can look it up themselves; this layer
is no longer the indirection point.
2026-05-07 16:54:19 -04:00
205 changed files with 4631 additions and 29267 deletions
+20
View File
@@ -51,6 +51,16 @@ jobs:
working-directory: ${{ inputs.working-directory }}
run: uv sync --frozen --group lint
- name: Get .mypy_cache to speed up mypy
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
uses: actions/cache@v5
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
with:
path: |
${{ inputs.working-directory }}/.mypy_cache
key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
- name: Analysing package code with our lint
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
working-directory: ${{ inputs.working-directory }}
@@ -67,6 +77,16 @@ jobs:
working-directory: ${{ inputs.working-directory }}
run: uv sync --group lint
- name: Get .mypy_cache_test to speed up mypy
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
uses: actions/cache@v5
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
with:
path: |
${{ inputs.working-directory }}/.mypy_cache_test
key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
- name: Analysing tests with our lint
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
working-directory: ${{ inputs.working-directory }}
@@ -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@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # 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 ${i}s"
exit 0
fi
sleep 2
done
echo "API failed to become healthy within 120s"
docker compose -f libs/sdk-py/integration/docker-compose.yml logs api | tail -100
exit 1
- name: Run integration suite
if: env.HAS_LANGSMITH_API_KEY == 'true'
run: uv run pytest tests/integration/ -m integration
- name: Dump api logs on failure
if: failure() && env.HAS_LANGSMITH_API_KEY == 'true'
working-directory: libs/sdk-py/integration
run: docker compose logs api | tail -200
- name: Tear down stack
if: always() && env.HAS_LANGSMITH_API_KEY == 'true'
working-directory: libs/sdk-py/integration
run: docker compose down -v
+1 -1
View File
@@ -33,7 +33,7 @@ jobs:
cache-suffix: test-${{ inputs.working-directory }}
working-directory: ${{ inputs.working-directory }}
- name: Login to Docker Hub
uses: docker/login-action@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # v4
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
+1 -1
View File
@@ -31,7 +31,7 @@ jobs:
cache-suffix: "test-langgraph"
working-directory: libs/langgraph
- name: Login to Docker Hub
uses: docker/login-action@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # v4
uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
+3 -7
View File
@@ -58,18 +58,14 @@ jobs:
} >> "$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,
})
-15
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
@@ -48,12 +47,6 @@ jobs:
deps:
- '**/pyproject.toml'
- '**/uv.lock'
sdk_py:
- 'libs/sdk-py/**'
# The integration suite runs the local langgraph core inside the
# server (see libs/sdk-py/integration/Dockerfile), so any core
# change is now exercised end-to-end and should trigger it.
- 'libs/langgraph/**'
lint:
needs: changes
@@ -163,13 +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:
@@ -180,7 +166,6 @@ jobs:
check-sdk-methods,
check-schema,
integration-test,
sdk-py-integration-test,
]
if: |
always()
-1
View File
@@ -41,7 +41,6 @@ jobs:
docs
ci
deps
deps-dev
requireScope: false
ignoreLabels: |
ignore-lint-pr-title
-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
@@ -4,7 +4,6 @@ from __future__ import annotations
import traceback
from collections.abc import Callable
from typing import cast
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
@@ -336,9 +335,8 @@ async def test_list_metadata_custom_keys(
results.append(tup)
assert len(results) == 1
metadata = cast(dict[str, object], results[0].metadata)
assert metadata["score"] == 42
assert metadata["run_id"] == "run-abc"
assert results[0].metadata["score"] == 42
assert results[0].metadata["run_id"] == "run-abc"
ALL_LIST_TESTS = [
+49 -50
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[[package]]
@@ -247,7 +247,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -260,9 +260,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
@@ -279,7 +279,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.1.1"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -296,6 +296,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -306,12 +307,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -703,16 +703,16 @@ wheels = [
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version = "1.4.0"
version = "1.3.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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View File
@@ -47,19 +47,22 @@ test_watch:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
uv run ty check $(PYTHON_FILES)
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+12 -12
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",
@@ -37,7 +37,7 @@ test = [
lint = [
"ruff",
"codespell",
"ty",
"mypy",
]
dev = [
{include-group = "test"},
@@ -69,15 +69,15 @@ lint.select = [
lint.ignore = ["E501", "B008"]
target-version = "py310"
[tool.ty.rules]
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-key = "ignore"
invalid-return-type = "ignore"
invalid-typed-dict-field = "ignore"
invalid-yield = "ignore"
no-matching-overload = "ignore"
unused-type-ignore-comment = "ignore"
[tool.mypy]
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disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value"
[tool.pytest-watcher]
now = true
+389 -254
View File
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[[package]]
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version = "4.1.1"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -293,6 +293,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -303,12 +304,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
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{ name = "dataclasses-json" },
@@ -324,7 +324,7 @@ test = [
[[package]]
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version = "3.1.0"
version = "3.1.0a4"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -338,18 +338,18 @@ dev = [
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{ name = "codespell" },
{ name = "langgraph-checkpoint" },
{ name = "mypy" },
{ name = "psycopg", extra = ["binary"] },
{ name = "pytest" },
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{ name = "ruff" },
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{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
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@@ -374,18 +374,18 @@ dev = [
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{ name = "codespell" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "mypy" },
{ name = "psycopg", extras = ["binary"] },
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{ name = "mypy" },
{ name = "ruff" },
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+5 -2
View File
@@ -18,19 +18,22 @@ test_watch:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
uv run ty check $(PYTHON_FILES)
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+13 -17
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"
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license = "MIT"
license-files = ['LICENSE']
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"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"aiosqlite>=0.20",
"sqlite-vec>=0.1.6",
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"ruff",
"codespell",
"ty",
"mypy",
]
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@@ -67,22 +67,18 @@ lint.select = [
lint.ignore = ["E501", "B008"]
target-version = "py310"
[tool.ty.rules]
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-key = "ignore"
invalid-method-override = "ignore"
invalid-return-type = "ignore"
invalid-yield = "ignore"
not-iterable = "ignore"
not-subscriptable = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unresolved-import = "ignore"
unsupported-operator = "ignore"
[tool.pytest-watcher]
now = true
delay = 0.1
runner_args = ["--ff", "-v", "--tb", "short"]
patterns = ["*.py"]
[tool.mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html
disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value"
@@ -1,3 +1,4 @@
# mypy: disable-error-code="union-attr,arg-type,index,operator"
import asyncio
import os
import tempfile
@@ -1,3 +1,4 @@
# mypy: disable-error-code="union-attr,arg-type,index,operator"
import os
import re
import tempfile
+203 -80
View File
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@@ -302,6 +289,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
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@@ -312,12 +300,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
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{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
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@@ -333,7 +320,7 @@ test = [
[[package]]
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version = "3.1.0a1"
source = { editable = "." }
dependencies = [
{ name = "aiosqlite" },
@@ -345,18 +332,18 @@ dependencies = [
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{ name = "codespell" },
{ name = "langgraph-checkpoint" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-retry" },
{ name = "pytest-watcher" },
{ name = "ruff" },
{ name = "ty" },
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{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "langgraph-checkpoint" },
@@ -378,18 +365,18 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-retry", specifier = ">=1.7.0" },
{ name = "pytest-watcher" },
{ name = "ruff" },
{ name = "ty" },
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{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
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{ name = "langgraph-checkpoint", editable = "../checkpoint" },
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+5 -2
View File
@@ -18,19 +18,22 @@ test_watch:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
uv run ty check $(PYTHON_FILES)
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
@@ -60,29 +60,20 @@ class CheckpointMetadata(TypedDict, total=False):
"""
run_id: str
"""The ID of the run that created this checkpoint."""
counters_since_delta_snapshot: dict[str, tuple[int, int]]
"""Per-channel counters since the last `_DeltaSnapshot` was written.
delta_updates_since_snapshot: dict[str, int]
"""Per-channel update count since the last `_DeltaSnapshot` was written.
!!! warning "Beta"
This metadata field backs `DeltaChannel` (beta). The key name and
contents may change while the delta-channel design stabilizes.
Maps channel name -> `(updates, supersteps)`:
- index 0 (`updates`): number of supersteps that wrote to this channel
since its last snapshot blob.
- index 1 (`supersteps`): total supersteps elapsed since this channel's
last snapshot, regardless of whether the channel was written.
A snapshot fires when EITHER `updates >= ch.snapshot_frequency` OR
`supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` (system-wide bound,
default 5000, env `LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`).
The supersteps bound prevents unbounded ancestor walks on threads where
a delta channel exists but is no longer being updated.
Absent on threads that don't use delta channels. Persisted as a
2-element list in JSON (no native tuple).
Maps channel name → number of supersteps that wrote to this channel
since its last snapshot blob. Used by `pregel.create_checkpoint` to
decide when to write the next snapshot (when the count reaches the
channel's `snapshot_frequency`, snapshot fires and the count resets
to 0). Absent on threads that don't use delta channels. Version-format
independent — works for int, float, and string version schemes.
"""
@@ -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"
+12 -16
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"
@@ -37,7 +37,7 @@ test = [
lint = [
"ruff",
"codespell",
"ty",
"mypy",
]
dev = [
{include-group = "test"},
@@ -64,22 +64,18 @@ lint.select = [
lint.ignore = ["E501", "B008"]
target-version = "py310"
[tool.ty.rules]
deprecated = "ignore"
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-key = "ignore"
invalid-method-override = "ignore"
invalid-return-type = "ignore"
invalid-type-form = "ignore"
redundant-cast = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unresolved-import = "ignore"
unsupported-operator = "ignore"
[tool.pytest-watcher]
now = true
delay = 0.1
runner_args = ["--ff", "-v", "--tb", "short"]
patterns = ["*.py"]
[tool.mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html
disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value"
-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()
+1
View File
@@ -1,3 +1,4 @@
# mypy: disable-error-code="operator"
import asyncio
import json
from collections.abc import Iterable
+194 -67
View File
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View File
@@ -16,19 +16,21 @@ test-integration:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph_cli
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
uv run ty check $(PYTHON_FILES)
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+9 -9
View File
@@ -21,25 +21,25 @@
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
},
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"typescript": "^5.9.3"
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}
File diff suppressed because it is too large Load Diff
@@ -9,10 +9,10 @@
},
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},
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}
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"clean": "rm -rf dist"
},
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"typescript": "^5.9.3"
}
}
+6 -6
View File
@@ -17,18 +17,18 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
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"typescript": "^6.0.3",
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+1 -1
View File
@@ -3,7 +3,7 @@
"compilerOptions": {
"target": "ES2022",
"module": "ESNext",
"moduleResolution": "bundler",
"moduleResolution": "node",
"allowSyntheticDefaultImports": true,
"esModuleInterop": true,
"skipLibCheck": true,
+181 -164
View File
@@ -28,10 +28,10 @@
debug "^4.3.1"
minimatch "^10.2.4"
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@@ -67,10 +67,10 @@
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@@ -103,57 +103,53 @@
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version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.60.1.tgz#ccdc482ba9e17f9723a10ce240b5e67dad3046c4"
integrity sha512-4h0tY8ppCkdCzcrl2YM5M3my0xsE1Tf8om3owEu5oPWmXwkKRmk0j0LGDzYBGUcAlesEbxBhazqu/K4cu3Ug7w==
"@typescript-eslint/types@8.59.1", "@typescript-eslint/types@^8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.59.1.tgz#c1d014d3f03a97e0113a8899fc9d4e45a7fb0ca9"
integrity sha512-ZDCjgccSdYPw5Bxh+my4Z0lJU96ZDN7jbBzvmEn0FZx3RtU1C7VWl6NbDx94bwY3V5YsgwRzJPOgeY2Q/nLG8A==
"@typescript-eslint/typescript-estree@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.60.1.tgz#016630b119228bf483ddc652703a6a038f3fdd74"
integrity sha512-alpRkfG8hlVE5kdJW2GkfgDgXxold3e8e4l6EnmhRmRLbekgAPCCGDVD++sABy9FcgPFroq+uFcCSM1vR57Cew==
"@typescript-eslint/typescript-estree@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.59.1.tgz#4391fadf98a22c869c5b6522dbf4e491e53e351a"
integrity sha512-OUd+vJS05sSkOip+BkZ/2NS8RMxrAAJemsC6vU3kmfLyeaJT0TftHkV9mcx2107MmsBVXXexhVu4F0TZXyMl4g==
dependencies:
"@typescript-eslint/project-service" "8.60.1"
"@typescript-eslint/tsconfig-utils" "8.60.1"
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/visitor-keys" "8.60.1"
"@typescript-eslint/project-service" "8.59.1"
"@typescript-eslint/tsconfig-utils" "8.59.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/visitor-keys" "8.59.1"
debug "^4.4.3"
minimatch "^10.2.2"
semver "^7.7.3"
tinyglobby "^0.2.15"
ts-api-utils "^2.5.0"
"@typescript-eslint/utils@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.60.1.tgz#31cf566095602d9fe8ad91837d2eb520b8de762b"
integrity sha512-h2MPBLoNtjc3qZWfY3Tl51yPorQ2McHn8pJfcMNTcIvrrZrr90Ykffit0yjrPFWQcRcUxzH20+6OcVdW4yHtUg==
"@typescript-eslint/utils@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.59.1.tgz#cf6204d69701bbbc5b150f98c18aeef0a42c10bd"
integrity sha512-3pIeoXhCeYH9FSCBI8P3iNwJlGuzPlYKkTlen2O9T1DSeeg8UG8jstq6BLk+Mda0qup7mgk4z4XL4OzRaxZ8LA==
dependencies:
"@eslint-community/eslint-utils" "^4.9.1"
"@typescript-eslint/scope-manager" "8.60.1"
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/typescript-estree" "8.60.1"
"@typescript-eslint/scope-manager" "8.59.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/typescript-estree" "8.59.1"
"@typescript-eslint/visitor-keys@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.60.1.tgz#165d1d8901137b944efaf18f00ab5ecb57f06995"
integrity sha512-EbGRQg4FhrmwLodl+t3JNAnXHWVr9Vp+Zl1QBZVPY4ByfkzIT8cX3K6QWODHtkIZqqJVEWvhHSx3v5PDHsaQag==
"@typescript-eslint/visitor-keys@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.59.1.tgz#b5cba576287a3eeb0b400b62813189abcc3f976a"
integrity sha512-LdDNl6C5iJExcM0Yh0PwAIBb9PrSiCsWamF/JyEZawm3kFDnRoaq3LGE4bpyRao/fWeGKKyw7icx0YxrLFC5Cg==
dependencies:
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/types" "8.59.1"
eslint-visitor-keys "^5.0.0"
acorn-jsx@^5.3.2:
@@ -341,6 +337,11 @@ ajv@^6.14.0:
json-schema-traverse "^0.4.1"
uri-js "^4.2.2"
ansi-styles@^5.0.0:
version "5.2.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
integrity sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==
argparse@^2.0.1:
version "2.0.1"
resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
@@ -489,6 +490,11 @@ callsites@^3.0.0:
resolved "https://registry.yarnpkg.com/callsites/-/callsites-3.1.0.tgz#b3630abd8943432f54b3f0519238e33cd7df2f73"
integrity sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==
camelcase@6:
version "6.3.0"
resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
concat-map@0.0.1:
version "0.0.1"
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
@@ -544,6 +550,11 @@ debug@^4.3.1, debug@^4.3.2, debug@^4.4.3:
dependencies:
ms "^2.1.3"
decamelize@1.2.0:
version "1.2.0"
resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-1.2.0.tgz#f6534d15148269b20352e7bee26f501f9a191290"
integrity sha512-z2S+W9X73hAUUki+N+9Za2lBlun89zigOyGrsax+KUQ6wKW4ZoWpEYBkGhQjwAjjDCkWxhY0VKEhk8wzY7F5cA==
deep-is@^0.1.3:
version "0.1.4"
resolved "https://registry.yarnpkg.com/deep-is/-/deep-is-0.1.4.tgz#a6f2dce612fadd2ef1f519b73551f17e85199831"
@@ -742,13 +753,13 @@ eslint-plugin-no-instanceof@^1.0.1:
resolved "https://registry.yarnpkg.com/eslint-plugin-no-instanceof/-/eslint-plugin-no-instanceof-1.0.1.tgz#5d9fc86d160df6991b654b294a62390207f1bb97"
integrity sha512-zlqQ7EsfzbRO68uI+p8FIE7zYB4njs+nNbkNjSb5QmLi2et67zQLqSeaao5U9SpnlZTTJC87nS2oyHo2ACtajw==
eslint-plugin-prettier@^5.5.6:
version "5.5.6"
resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.5.6.tgz#363ebe4d769bce157ccdd8129ce3efd91dc62564"
integrity sha512-ifetmTcxWfz+4qRW3pH/ujdTq2jQIj59AxJMIN26K5avYgU8dxycUETQonWiW+wPrYXA0j3Try0l1CnwVQtDqQ==
eslint-plugin-prettier@^5.5.5:
version "5.5.5"
resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.5.5.tgz#9eae11593faa108859c26f9a9c367d619a0769c0"
integrity sha512-hscXkbqUZ2sPithAuLm5MXL+Wph+U7wHngPBv9OMWwlP8iaflyxpjTYZkmdgB4/vPIhemRlBEoLrH7UC1n7aUw==
dependencies:
prettier-linter-helpers "^1.0.1"
synckit "^0.11.13"
synckit "^0.11.12"
eslint-scope@^9.1.2:
version "9.1.2"
@@ -775,17 +786,17 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
eslint@^10.4.1:
version "10.4.1"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.4.1.tgz#f6640b176e0912246d9ddbf8fcfa5e8b7f02445a"
integrity sha512-AyIKhnOBuOAdueD7RB3xB+YeAWScb9jHsJBgH2Hcde8InP5JYhqrRR6iTMHyTEwgENK54Cp44e4v8BwNhsuHuw==
eslint@^10.2.1:
version "10.2.1"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.2.1.tgz#224b2a6caeb34473eddcf918762363e2e063222a"
integrity sha512-wiyGaKsDgqXvF40P8mDwiUp/KQjE1FdrIEJsM8PZ3XCiniTMXS3OHWWUe5FI5agoCnr8x4xPrTDZuxsBlNHl+Q==
dependencies:
"@eslint-community/eslint-utils" "^4.8.0"
"@eslint-community/regexpp" "^4.12.2"
"@eslint/config-array" "^0.23.5"
"@eslint/config-helpers" "^0.6.0"
"@eslint/config-helpers" "^0.5.5"
"@eslint/core" "^1.2.1"
"@eslint/plugin-kit" "^0.7.2"
"@eslint/plugin-kit" "^0.7.1"
"@humanfs/node" "^0.16.6"
"@humanwhocodes/module-importer" "^1.0.1"
"@humanwhocodes/retry" "^0.4.2"
@@ -1316,11 +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"
@@ -1772,12 +1784,12 @@ supports-preserve-symlinks-flag@^1.0.0:
resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
integrity sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==
synckit@^0.11.13:
version "0.11.13"
resolved "https://registry.yarnpkg.com/synckit/-/synckit-0.11.13.tgz#062a5ea57d81befc35892f8254de5c567e97c80a"
integrity sha512-eNRKgb3z66Yp3D2CixVujOUvXLFUTij/zVnV8KRyvFdQwpz7I5DS8UfRkTeLzb64u+dkzDSdelE24izu+zSSUg==
synckit@^0.11.12:
version "0.11.12"
resolved "https://registry.yarnpkg.com/synckit/-/synckit-0.11.12.tgz#abe74124264fbc00a48011b0d98bdc1cffb64a7b"
integrity sha512-Bh7QjT8/SuKUIfObSXNHNSK6WHo6J1tHCqJsuaFDP7gP0fkzSfTxI8y85JrppZ0h8l0maIgc2tfuZQ6/t3GtnQ==
dependencies:
"@pkgr/core" "^0.3.6"
"@pkgr/core" "^0.2.9"
tinyglobby@^0.2.15:
version "0.2.15"
@@ -1802,17 +1814,17 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo@^2.9.16:
version "2.9.16"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.16.tgz#ed72ff679c2c54bde0e3a2e40107416181e203a4"
integrity sha512-NqgRQy6j6dPYcdSdv0q1g9QsZg7SWg87RERM8otw/1AtKU2yTFVClOM7cbwKzOonZr/Ek1blTBucw64L9H0Bwg==
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" "2.9.16"
"@turbo/darwin-arm64" "2.9.16"
"@turbo/linux-64" "2.9.16"
"@turbo/linux-arm64" "2.9.16"
"@turbo/windows-64" "2.9.16"
"@turbo/windows-arm64" "2.9.16"
"@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"
@@ -1866,10 +1878,10 @@ typed-array-length@^1.0.7:
possible-typed-array-names "^1.0.0"
reflect.getprototypeof "^1.0.6"
typescript@^6.0.3:
version "6.0.3"
resolved "https://registry.yarnpkg.com/typescript/-/typescript-6.0.3.tgz#90251dc007916e972786cb94d74d15b185577d21"
integrity sha512-y2TvuxSZPDyQakkFRPZHKFm+KKVqIisdg9/CZwm9ftvKXLP8NRWj38/ODjNbr43SsoXqNuAisEf1GdCxqWcdBw==
typescript@^5.9.3:
version "5.9.3"
resolved "https://registry.yarnpkg.com/typescript/-/typescript-5.9.3.tgz#5b4f59e15310ab17a216f5d6cf53ee476ede670f"
integrity sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==
unbox-primitive@^1.1.0:
version "1.1.0"
@@ -1888,10 +1900,15 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@^14.0.0:
version "14.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-14.0.0.tgz#0af883220163d264ffe0c084f6b8a89b9666966d"
integrity sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg==
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==
uuid@^13.0.0:
version "13.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
integrity sha512-XQegIaBTVUjSHliKqcnFqYypAd4S+WCYt5NIeRs6w/UAry7z8Y9j5ZwRRL4kzq9U3sD6v+85er9FvkEaBpji2w==
which-boxed-primitive@^1.1.0, which-boxed-primitive@^1.1.1:
version "1.1.1"
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.29"
__version__ = "0.4.25"
-38
View File
@@ -724,30 +724,6 @@ def dockerfile(
default="WARNING",
help="Set the log level for the API server.",
)
@click.option(
"--ssl-certfile",
type=click.Path(
exists=True,
file_okay=True,
dir_okay=False,
resolve_path=True,
path_type=pathlib.Path,
),
default=None,
help="Path to an SSL certificate file for serving the development server over HTTPS.",
)
@click.option(
"--ssl-keyfile",
type=click.Path(
exists=True,
file_okay=True,
dir_okay=False,
resolve_path=True,
path_type=pathlib.Path,
),
default=None,
help="Path to an SSL key file for serving the development server over HTTPS.",
)
@cli.command(
"dev",
help="🏃‍♀️‍➡️ Run LangGraph API server in development mode with hot reloading and debugging support",
@@ -766,20 +742,8 @@ def dev(
allow_blocking: bool,
tunnel: bool,
server_log_level: str,
ssl_certfile: pathlib.Path | None,
ssl_keyfile: pathlib.Path | None,
):
"""CLI entrypoint for running the LangGraph API server."""
if (ssl_certfile is None) != (ssl_keyfile is None):
raise click.UsageError(
"Both --ssl-certfile and --ssl-keyfile must be provided to enable HTTPS."
)
if ssl_certfile and ssl_keyfile and tunnel:
raise click.UsageError(
"Cannot use --tunnel with SSL options. Please choose either to serve over HTTPS or to expose via a tunnel, but not both."
)
try:
from langgraph_api.cli import run_server # type: ignore
except ImportError:
@@ -850,8 +814,6 @@ def dev(
server_level=server_log_level,
checkpointer=config_json.get("checkpointer"),
disable_persistence=config_json.get("disable_persistence", False),
ssl_certfile=ssl_certfile,
ssl_keyfile=ssl_keyfile,
)
+2 -20
View File
@@ -35,12 +35,6 @@ DISALLOWED_BUILD_COMMAND_CHARS = [
# This blocks background execution (cmd &) while allowing command
# chaining (cmd1 && cmd2) which is common in build commands.
_SINGLE_AMPERSAND_RE = re.compile(r"(?<!&)&(?:&&)*(?!&)")
_API_VERSION_PATTERN = re.compile(
r"^(?P<major>\d+)"
r"(?:\.(?P<minor>\d+))?"
r"(?:\.(?P<patch>\d+))?"
r"(?:(?:\.|)(?:[A-Za-z][0-9A-Za-z]*))?$"
)
def has_disallowed_build_command_content(command: str) -> bool:
@@ -129,18 +123,6 @@ def _parse_node_version(version_str: str) -> int:
) from None
def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
"""Parse an API version into numeric components.
Supports optional prerelease suffixes, e.g. `0.9.0rc1`.
"""
version_core = version_str.split("-", 1)[0]
match = _API_VERSION_PATTERN.fullmatch(version_core)
if not match:
raise ValueError("Version must be major or major.minor or major.minor.patch.")
return tuple(int(part) for part in match.groups() if part is not None)
def _is_node_graph(spec: str | dict) -> bool:
"""Check if a graph is a Node.js graph based on the file extension."""
if isinstance(spec, dict):
@@ -194,12 +176,12 @@ def validate_config(config: Config) -> Config:
)
if api_version:
try:
parts = _parse_api_version_parts(api_version)
parts = tuple(map(int, api_version.split("-")[0].split(".")))
if len(parts) > 3:
raise ValueError(
"Version must be major or major.minor or major.minor.patch."
)
except (TypeError, ValueError):
except TypeError:
raise click.UsageError(
f"Invalid version format: {api_version}.\n\n"
"Pin to a minor version, e.g.:\n"
@@ -1,141 +0,0 @@
"""Detection of tracked Python packages in a local LangGraph project.
Mirrors host-backend's `host.models.dependency_tracking` so that CLI-based
deploys report the same `tracked_packages` revision metadata that
GitHub-based deploys do. The host backend strictly validates each entry
against `<package-name>:<version>` with package-name in `TRACKED_PACKAGES`,
so the detection rules here must match exactly.
"""
from __future__ import annotations
import pathlib
import re
# Single source of truth for which packages the host backend cares about.
# Keep in sync with host-backend/host/models/tracked_packages.py.
TRACKED_PACKAGES: tuple[str, ...] = ("google-adk",)
_MAX_READ_BYTES = 5 * 1024 * 1024
_PACKAGES_ALT = "|".join(re.escape(p) for p in TRACKED_PACKAGES)
_DEPS_RE = re.compile(
rf"(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})"
r"(?:\[[^\]]*\])?"
r"\s*((?:(?:==|>=|<=|~=|!=|>|<)\s*[\w.*]+\s*,?\s*)+)"
)
_UV_LOCK_RE = re.compile(
rf'name\s*=\s*"({_PACKAGES_ALT})"\s*\n\s*version\s*=\s*"([^"]+)"'
)
_BARE_RE = re.compile(rf'(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})(?:\[[^\]]*\])?\s*[,"\'\n]')
_EXTRAS_BRACKET_RE = re.compile(r"\[([a-zA-Z0-9_.\- ,\t]+)\]")
def _appears_in_extras(content: str, pkg: str) -> bool:
for m in _EXTRAS_BRACKET_RE.finditer(content):
for token in m.group(1).split(","):
if token.strip() == pkg:
return True
return False
def _read_text(path: pathlib.Path) -> str | None:
try:
if not path.is_file():
return None
with open(path, "rb") as f:
data = f.read(_MAX_READ_BYTES + 1)
except OSError:
return None
if len(data) > _MAX_READ_BYTES:
data = data[:_MAX_READ_BYTES]
return data.decode("utf-8", errors="replace")
def _find_version_for(
pkg: str,
lock_content: str | None,
pyproject_content: str | None,
requirements_content: str | None,
) -> str | None:
if lock_content is not None:
for m in _UV_LOCK_RE.finditer(lock_content):
if m.group(1) == pkg:
return m.group(2)
for content in (pyproject_content, requirements_content):
if content is None:
continue
for m in _DEPS_RE.finditer(content):
if m.group(1) == pkg:
return m.group(2).strip().rstrip(",")
for m in _BARE_RE.finditer(content):
if m.group(1) == pkg:
return "unknown"
if _appears_in_extras(content, pkg):
return "unknown"
return None
def _resolved_dep_base(
project_root: pathlib.Path, dep_path: str
) -> pathlib.Path | None:
"""Return the resolved dep directory if it stays inside the project root."""
try:
candidate = (project_root / dep_path).resolve()
except (OSError, RuntimeError):
return None
try:
candidate.relative_to(project_root)
except ValueError:
return None
return candidate
def find_tracked_packages(
config: pathlib.Path,
config_json: dict,
) -> list[str]:
"""Return every tracked package found in deps as `<name>:<version>` entries.
`config` is the absolute path to `langgraph.json`; dep paths in
`config_json["dependencies"]` are resolved relative to its parent.
Detection precedence per package: uv.lock resolved > pyproject.toml /
requirements.txt specifier > bare reference > extras bracket (last
two recorded as "unknown"). Output is ordered by `TRACKED_PACKAGES`.
"""
try:
project_root = config.parent.resolve()
except (OSError, RuntimeError):
return []
dep_paths = config_json.get("dependencies") or ["."]
found: dict[str, str] = {}
for dep_path in dep_paths:
if all(pkg in found for pkg in TRACKED_PACKAGES):
break
if not isinstance(dep_path, str):
continue
base = _resolved_dep_base(project_root, dep_path)
if base is None or not base.is_dir():
continue
lock_content = _read_text(base / "uv.lock")
pyproject_content = _read_text(base / "pyproject.toml")
requirements_content = _read_text(base / "requirements.txt")
for pkg in TRACKED_PACKAGES:
if pkg in found:
continue
version = _find_version_for(
pkg, lock_content, pyproject_content, requirements_content
)
if version is not None:
found[pkg] = version
return [f"{pkg}:{found[pkg]}" for pkg in TRACKED_PACKAGES if pkg in found]
+1 -63
View File
@@ -20,7 +20,6 @@ from dotenv import dotenv_values, set_key
import langgraph_cli.config
from langgraph_cli.analytics import log_command
from langgraph_cli.constants import DEFAULT_CONFIG
from langgraph_cli.dependency_tracking import find_tracked_packages
from langgraph_cli.docker import build_docker_image, can_build_locally
from langgraph_cli.exec import Runner, subp_exec
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
@@ -850,41 +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,
@@ -903,7 +867,6 @@ def _run_local_build(
build_command: str | None,
docker_build_args: Sequence[str],
secrets: list[dict[str, str]],
tracked_packages: list[str] | None,
) -> BuildResult:
"""Build locally with Docker, push to registry, update deployment."""
# Use buildx to cross-compile for amd64 when running on a non-x86_64 host
@@ -1052,21 +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,
tracked_packages=tracked_packages,
)
updated = client.update_deployment(deployment_id, remote_image, secrets=secrets)
return BuildResult(
updated=updated if isinstance(updated, dict) else {},
@@ -1088,7 +1039,6 @@ def _run_remote_build(
install_command: str | None,
build_command: str | None,
secrets: list[dict[str, str]],
tracked_packages: list[str] | None,
) -> BuildResult:
"""Upload source tarball and trigger a remote build."""
from langgraph_cli.archive import create_archive
@@ -1119,7 +1069,6 @@ def _run_remote_build(
secrets=secrets,
install_command=install_command,
build_command=build_command,
tracked_packages=tracked_packages,
)
log_offset: str | None = None
@@ -1604,15 +1553,6 @@ def _deploy_cmd(
if not deployment_id:
raise click.ClickException("Failed to determine deployment ID")
# Scan local sources for tracked packages so the new revision carries
# the same metadata GitHub-backed deploys produce. Failures must never
# block a deploy.
try:
tracked_packages = find_tracked_packages(config, config_json) or None
except Exception as exc:
em.warn(f"Skipped tracked-package scan: {exc}")
tracked_packages = None
# -- 3. Build (divergent path) --
if use_remote_build:
build_result = _run_remote_build(
@@ -1625,7 +1565,6 @@ def _deploy_cmd(
install_command=install_command,
build_command=build_command,
secrets=secrets,
tracked_packages=tracked_packages,
)
else:
build_result = _run_local_build(
@@ -1645,7 +1584,6 @@ def _deploy_cmd(
build_command=build_command,
docker_build_args=docker_build_args,
secrets=secrets,
tracked_packages=tracked_packages,
)
# -- 4. Shared wait + result --
-6
View File
@@ -122,14 +122,11 @@ class HostBackendClient:
deployment_id: str,
image_uri: str,
secrets: list[dict[str, str]] | None = None,
tracked_packages: list[str] | None = None,
) -> dict[str, Any]:
payload: dict[str, Any] = {
"revision_source": "internal_docker",
"source_revision_config": {"image_uri": image_uri},
}
if tracked_packages:
payload["tracked_packages"] = tracked_packages
if secrets is not None:
payload["secrets"] = secrets
return self._request(
@@ -146,7 +143,6 @@ class HostBackendClient:
secrets: list[dict[str, str]] | None = None,
install_command: str | None = None,
build_command: str | None = None,
tracked_packages: list[str] | None = None,
) -> dict[str, Any]:
"""Trigger a remote build revision with the uploaded tarball."""
payload: dict[str, Any] = {
@@ -156,8 +152,6 @@ class HostBackendClient:
"langgraph_config_path": config_path,
},
}
if tracked_packages:
payload["tracked_packages"] = tracked_packages
source_config: dict[str, Any] = {}
if install_command is not None:
+2 -16
View File
@@ -23,7 +23,7 @@ dependencies = [
path = "langgraph_cli/__init__.py"
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.5.35,<0.12.0a0 ; 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'",
]
@@ -47,7 +47,7 @@ test = [
lint = [
"ruff",
"codespell",
"ty",
"mypy",
]
dev = [
{include-group = "test"},
@@ -76,17 +76,3 @@ lint.select = [
]
lint.ignore = ["E501", "B008"]
target-version = "py310"
[tool.ty.rules]
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-key = "ignore"
invalid-parameter-default = "ignore"
invalid-return-type = "ignore"
missing-argument = "ignore"
no-matching-overload = "ignore"
not-subscriptable = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unresolved-import = "ignore"
unsupported-operator = "ignore"
@@ -19,7 +19,7 @@ members = ["apps/*", "libs/shared"]
shared = { workspace = true }
[project.optional-dependencies]
dev = ["ruff>=0.6.1", "ty"]
dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
[build-system]
requires = ["setuptools>=73.0.0", "wheel"]
@@ -43,4 +43,4 @@ lint.ignore = [
]
[tool.ruff.lint.pydocstyle]
convention = "google"
convention = "google"
+1 -28
View File
@@ -7,7 +7,6 @@ import textwrap
from contextlib import contextmanager
from pathlib import Path
import click
from click.testing import CliRunner
import langgraph_cli.deploy as deploy_module
@@ -320,31 +319,6 @@ def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
assert "[Beta] List LangSmith Deployments." in deploy_list_line
def test_dev_command_requires_ssl_certfile_and_keyfile_together(tmp_path) -> None:
config_path = tmp_path / "langgraph.json"
config_path.write_text(
json.dumps({"dependencies": [], "graphs": {"agent": "./agent.py:graph"}}),
encoding="utf-8",
)
certfile = tmp_path / "cert.pem"
certfile.write_text("cert", encoding="utf-8")
runner = CliRunner()
result = runner.invoke(
cli,
[
"dev",
"--config",
str(config_path),
"--ssl-certfile",
str(certfile),
],
)
assert result.exit_code != 0
assert "Both --ssl-certfile and --ssl-keyfile must be provided" in result.output
def test_deploy_list_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
@@ -602,8 +576,7 @@ def test_deploy_delete_command(monkeypatch) -> None:
"deployment_id": "dep-123",
}
assert (
"Are you sure you want to delete deployment ID dep-123? (Y/n):"
in click.unstyle(result.output)
"Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
)
assert result.output.strip().endswith("Deleted deployment dep-123.")
@@ -71,6 +71,7 @@ class TestBuildIgnoreSpec:
assert spec.match_file("venv/")
assert spec.match_file("node_modules/")
assert spec.match_file(".tox/")
assert spec.match_file(".mypy_cache/")
def test_regular_file_not_excluded(self, tmp_path):
spec = _build_ignore_spec(tmp_path)
-17
View File
@@ -2944,23 +2944,6 @@ def test_docker_tag_with_api_version(in_config: bool):
assert tag == f"langchain/langgraph-server:{version}-py3.11"
@pytest.mark.parametrize("in_config", [False, True])
@pytest.mark.parametrize("version", ["0.9.0rc1", "0.9.0.dev1"])
def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
"""Test docker_tag with prerelease and dev api_version values."""
config = validate_config(
{
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.11"
def test_config_to_docker_with_api_version():
"""Test config_to_docker function with api_version parameter."""
@@ -1,134 +0,0 @@
import pathlib
import pytest
from langgraph_cli.dependency_tracking import (
TRACKED_PACKAGES,
find_tracked_packages,
)
def _write_project(
tmp_path: pathlib.Path,
*,
dep_subdir: str = ".",
uv_lock: str | None = None,
pyproject: str | None = None,
requirements: str | None = None,
dependencies: list[str] | None = None,
) -> tuple[pathlib.Path, dict]:
project_root = tmp_path
dep_dir = (project_root / dep_subdir).resolve()
dep_dir.mkdir(parents=True, exist_ok=True)
if uv_lock is not None:
(dep_dir / "uv.lock").write_text(uv_lock)
if pyproject is not None:
(dep_dir / "pyproject.toml").write_text(pyproject)
if requirements is not None:
(dep_dir / "requirements.txt").write_text(requirements)
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": dependencies or [dep_subdir]}
return config, config_json
def test_uv_lock_resolved_version_preferred(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
uv_lock='name = "google-adk"\nversion = "1.2.3"\n',
pyproject='dependencies = ["google-adk>=0.5"]',
)
assert find_tracked_packages(config, config_json) == ["google-adk:1.2.3"]
def test_pyproject_specifier_used_when_no_lock(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
pyproject='dependencies = ["google-adk>=0.5,<2"]',
)
assert find_tracked_packages(config, config_json) == ["google-adk:>=0.5,<2"]
def test_requirements_txt_specifier(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
requirements="google-adk==1.0.0\n",
)
assert find_tracked_packages(config, config_json) == ["google-adk:==1.0.0"]
def test_bare_reference_records_unknown(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
requirements="google-adk\nother-pkg==1.0\n",
)
assert find_tracked_packages(config, config_json) == ["google-adk:unknown"]
def test_extras_bracket_records_unknown(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
pyproject='dependencies = ["deployments-wrap-sdk[google-adk]>=0.0.1"]',
)
assert find_tracked_packages(config, config_json) == ["google-adk:unknown"]
def test_no_match_returns_empty(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
pyproject='dependencies = ["langgraph>=0.2"]',
)
assert find_tracked_packages(config, config_json) == []
def test_traversal_dep_path_is_skipped(tmp_path: pathlib.Path) -> None:
outside = tmp_path.parent / "outside-project"
outside.mkdir(exist_ok=True)
(outside / "uv.lock").write_text('name = "google-adk"\nversion = "9.9.9"\n')
project_root = tmp_path / "project"
project_root.mkdir()
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": ["../outside-project"]}
assert find_tracked_packages(config, config_json) == []
def test_dep_paths_scanned_in_order(tmp_path: pathlib.Path) -> None:
project_root = tmp_path
(project_root / "first").mkdir()
(project_root / "second").mkdir()
(project_root / "second" / "uv.lock").write_text(
'name = "google-adk"\nversion = "2.0.0"\n'
)
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": ["first", "second"]}
assert find_tracked_packages(config, config_json) == ["google-adk:2.0.0"]
def test_non_string_dep_entry_ignored(tmp_path: pathlib.Path) -> None:
project_root = tmp_path
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": [123, None]}
assert find_tracked_packages(config, config_json) == []
def test_oversized_file_is_truncated_not_raised(tmp_path: pathlib.Path) -> None:
project_root = tmp_path
config = project_root / "langgraph.json"
config.write_text("{}")
# 6 MB of irrelevant content followed by the tracked-package marker —
# the read cap drops the marker, so nothing should be found.
padded = ("x" * (6 * 1024 * 1024)) + '\nname = "google-adk"\nversion = "1.0.0"\n'
(project_root / "uv.lock").write_text(padded)
assert find_tracked_packages(config, {"dependencies": ["."]}) == []
@pytest.mark.parametrize("pkg", TRACKED_PACKAGES)
def test_every_tracked_package_is_detectable(tmp_path: pathlib.Path, pkg: str) -> None:
config, config_json = _write_project(
tmp_path,
uv_lock=f'name = "{pkg}"\nversion = "1.0.0"\n',
)
assert find_tracked_packages(config, config_json) == [f"{pkg}:1.0.0"]
@@ -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()
@@ -1,5 +1,3 @@
import json
import httpx
import pytest
@@ -178,69 +176,6 @@ def test_update_deployment_no_secrets(client):
assert result == {"ok": True}
def _capturing_client(captured: dict) -> HostBackendClient:
def handler(req: httpx.Request) -> httpx.Response:
captured["body"] = req.read()
return httpx.Response(200, json={"ok": True})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
return c
def test_update_deployment_forwards_tracked_packages():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment(
"dep-123",
"image:latest",
tracked_packages=["google-adk:1.0.0"],
)
body = json.loads(captured["body"])
assert body["tracked_packages"] == ["google-adk:1.0.0"]
assert "tracked_packages" not in body["source_revision_config"]
def test_update_deployment_omits_tracked_packages_when_absent():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment("dep-123", "image:latest")
body = json.loads(captured["body"])
assert "tracked_packages" not in body
def test_update_deployment_internal_source_forwards_tracked_packages():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment_internal_source(
"dep-123",
source_tarball_path="path/to/tarball",
config_path="langgraph.json",
tracked_packages=["google-adk:>=0.5"],
)
body = json.loads(captured["body"])
assert body["tracked_packages"] == ["google-adk:>=0.5"]
assert body["source_revision_config"]["source_tarball_path"] == "path/to/tarball"
assert "tracked_packages" not in body["source_revision_config"]
def test_update_deployment_internal_source_omits_tracked_packages_when_absent():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment_internal_source(
"dep-123",
source_tarball_path="path/to/tarball",
config_path="langgraph.json",
)
body = json.loads(captured["body"])
assert "tracked_packages" not in body
def test_list_revisions(client):
result = client.list_revisions("dep-123", limit=5)
assert result == {"ok": True}
@@ -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" },
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{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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version = "3.0.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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{ name = "orjson" },
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name = "langgraph-prebuilt"
version = "1.0.9"
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version = "0.8.0"
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name = "psycopg"
version = "3.3.4"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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@@ -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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[[package]]
name = "xxhash"
version = "3.6.0"
+5 -2
View File
@@ -111,19 +111,22 @@ test_watch_all:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E r'\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check langgraph
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
type:
uv run ty check langgraph
mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+34 -120
View File
@@ -1,7 +1,7 @@
from __future__ import annotations
from collections import ChainMap
from collections.abc import Mapping, Sequence
from collections.abc import Sequence
from os import getenv
from typing import Any, cast
@@ -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:
@@ -79,70 +76,6 @@ def patch_checkpoint_map(
return config
def _copy_mapping_value(value: Any) -> Any:
return dict(value) if isinstance(value, Mapping) else value
def _merge_metadata(
base: Mapping[str, Any] | None, new: Mapping[str, Any] | None
) -> dict[str, Any]:
"""Merge metadata without mutating inputs.
Top-level keys merge with newer values winning. `lc_versions` is the only
mapping-valued key that merges one level deeper, so independent LangChain
packages can contribute package versions without changing generic metadata
semantics. Mapping values are copied one level, so deeper nested objects
remain shared. `None` inputs are treated as empty metadata.
Mirrors `langchain_core.runnables.config._merge_metadata_dicts` so configs
that pass through LangGraph's merge keep the same `lc_versions` semantics;
keep the two in sync. Unlike lc-core, this copies mapping values one level
(intentionally more defensive do not "simplify" back to a shared ref).
"""
merged = {key: _copy_mapping_value(value) for key, value in (base or {}).items()}
for key, value in (new or {}).items():
if (
key == "lc_versions"
and isinstance(merged.get(key), Mapping)
and isinstance(value, Mapping)
):
merged[key] = {
**cast(Mapping[str, Any], merged[key]),
**value,
}
else:
merged[key] = _copy_mapping_value(value)
return merged
def _merge_callbacks(base: Callbacks, new: Callbacks) -> Callbacks:
"""Merge two callbacks values (None / list / BaseCallbackManager).
Six cases total (3 base types x 2 non-None new types).
"""
if new is None:
return base
if base is None:
return new.copy() if isinstance(new, (list, BaseCallbackManager)) else new
if isinstance(new, list):
if isinstance(base, list):
return base + new
if isinstance(base, BaseCallbackManager):
mngr = base.copy()
for cb in new:
mngr.add_handler(cb, inherit=True)
return mngr
elif isinstance(new, BaseCallbackManager):
if isinstance(base, list):
mngr = new.copy()
for cb in base:
mngr.add_handler(cb, inherit=True)
return mngr
if isinstance(base, BaseCallbackManager):
return base.merge(new)
raise NotImplementedError(f"Unsupported callback types: {type(base)}, {type(new)}")
def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
"""Merge multiple configs into one.
@@ -162,10 +95,10 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
if not value:
continue
if key == "metadata":
base[key] = _merge_metadata(
cast(Mapping[str, Any] | None, base.get(key)),
cast(Mapping[str, Any], value),
)
if base_value := base.get(key):
base[key] = {**base_value, **value} # type: ignore
else:
base[key] = value # type: ignore[literal-required]
elif key == "tags":
if base_value := base.get(key):
base[key] = [*base_value, *value] # type: ignore
@@ -177,9 +110,34 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
else:
base[key] = value
elif key == "callbacks":
base["callbacks"] = _merge_callbacks(
base.get("callbacks"), cast(Callbacks, value)
)
base_callbacks = base.get("callbacks")
# callbacks can be either None, list[handler] or manager
# so merging two callbacks values has 6 cases
if isinstance(value, list):
if base_callbacks is None:
base["callbacks"] = value.copy()
elif isinstance(base_callbacks, list):
base["callbacks"] = base_callbacks + value
else:
# base_callbacks is a manager
mngr = base_callbacks.copy()
for callback in value:
mngr.add_handler(callback, inherit=True)
base["callbacks"] = mngr
elif isinstance(value, BaseCallbackManager):
# value is a manager
if base_callbacks is None:
base["callbacks"] = value.copy()
elif isinstance(base_callbacks, list):
mngr = value.copy()
for callback in base_callbacks:
mngr.add_handler(callback, inherit=True)
base["callbacks"] = mngr
else:
# base_callbacks is also a manager
base["callbacks"] = base_callbacks.merge(value)
else:
raise NotImplementedError
elif key == "recursion_limit":
if config["recursion_limit"] != DEFAULT_RECURSION_LIMIT:
base["recursion_limit"] = config["recursion_limit"]
@@ -348,37 +306,7 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
for k, v in config.items():
if _is_not_empty(v) and k in CONFIG_KEYS:
if k == CONF:
# Shallow-merge configurable dicts across configs so values
# bound via with_config(...) (e.g. ls_agent_type) are
# preserved when later configs (e.g. invoke-time) only
# specify a subset of keys like thread_id.
existing = empty.get(k)
empty[k] = (
{**cast(dict, existing), **cast(dict, v)}
if existing
else cast(dict, v).copy()
)
elif k == "callbacks":
empty["callbacks"] = _merge_callbacks(
empty.get("callbacks"), cast(Callbacks, v)
)
elif k == "metadata":
# Matches merge_configs: top-level metadata keys merge, and
# only `lc_versions` merges one level deeper.
empty["metadata"] = _merge_metadata(
cast(Mapping[str, Any] | None, empty.get("metadata")),
cast(Mapping[str, Any], v),
)
elif k == "tags":
# Concatenate tags across configs so values bound via
# with_config(...) are preserved when later configs
# supply additional tags. Matches merge_configs.
existing_tags: list[str] | None = empty.get("tags")
empty["tags"] = (
[*existing_tags, *cast(list, v)]
if existing_tags
else list(cast(list, v))
)
empty[k] = cast(dict, v).copy()
else:
empty[k] = v # type: ignore[literal-required]
for k, v in config.items():
@@ -435,17 +363,3 @@ _PROPAGATE_TO_METADATA = frozenset(
"graph_id",
)
)
def filter_to_user_tags(tags: Sequence[str] | None) -> list[str] | None:
"""Drop langgraph's internal `seq:step:*` bookkeeping tags.
`seq:step:N` tags are added internally to mark sequence steps; everything
else (user-supplied tags and any other framework tags) is kept. Returns the
surviving tags, or `None` if none remain. Shared by the `messages` and
`tasks` stream handlers so both surface the same tag set on their metadata.
"""
if not tags:
return None
filtered = [t for t in tags if not t.startswith("seq:step")]
return filtered or None
+4 -7
View File
@@ -32,7 +32,7 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
change in future releases. Threads written with `DeltaChannel` today
are expected to remain readable, but the surrounding contract
(`BaseCheckpointSaver.get_delta_channel_history`, the
`_DeltaSnapshot` blob shape, the `counters_since_delta_snapshot`
`_DeltaSnapshot` blob shape, the `delta_updates_since_snapshot`
metadata field) is not yet stable.
The reducer receives the current accumulated value and a batch of writes
@@ -47,12 +47,9 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
This lets LangGraph replay checkpointed writes in larger batches than they
were originally produced without changing reconstructed state.
Snapshot cadence is driven by two counters: per-channel update count and
total supersteps since last snapshot. `create_checkpoint` writes a full
`_DeltaSnapshot` blob when EITHER the update count reaches
`snapshot_frequency` OR the supersteps count reaches the system-wide
`DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` bound (default 5000), bounding
replay depth even for channels that stop receiving writes.
Snapshot cadence is driven by per-channel update count. `create_checkpoint`
writes a full `_DeltaSnapshot` blob every `snapshot_frequency` updates to
this channel, bounding replay depth.
Parameters:
reducer: `(state, list[writes]) -> new_state`. Must be deterministic
-23
View File
@@ -21,7 +21,6 @@ __all__ = (
"InvalidUpdateError",
"GraphBubbleUp",
"GraphInterrupt",
"NodeCancelledError",
"NodeError",
"NodeInterrupt",
"NodeTimeoutError",
@@ -165,28 +164,6 @@ class NodeError:
"""Exception raised by the failed node."""
class NodeCancelledError(Exception):
"""Raised when a node body raises ``asyncio.CancelledError`` itself.
``asyncio.CancelledError`` is a ``BaseException`` and the pregel runner
treats cancelled task futures as silent tear-down (e.g. when it stops
sibling tasks after a peer fails). That is the correct behaviour for
*framework-initiated* cancellation, but a user node that raises
``asyncio.CancelledError`` from its own body should surface as a node
failure, the same way any other exception would.
The retry layer converts user-raised ``asyncio.CancelledError`` into this
type so it flows through the normal error path and the run reports as
``error`` instead of silently succeeding.
"""
node: str
def __init__(self, node: str, message: str | None = None) -> None:
super().__init__(message or f"Node {node!r} raised asyncio.CancelledError")
self.node = node
class NodeTimeoutError(Exception):
"""Raised when a node invocation exceeds one of its configured timeouts.
+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
)
+4 -87
View File
@@ -10,12 +10,10 @@ 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
from langgraph._internal._config import filter_to_user_tags
from langgraph._internal._constants import NS_SEP
from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
from langgraph.pregel.protocol import StreamChunk
@@ -144,8 +142,9 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
]
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
return
if (filtered_tags := filter_to_user_tags(tags)) is not None:
metadata["tags"] = filtered_tags
if tags:
if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
metadata["tags"] = filtered_tags
self.metadata[run_id] = (ns, metadata)
def on_llm_new_token(
@@ -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
@@ -1,374 +0,0 @@
# libs/langgraph/langgraph/pregel/_remote_run_stream.py
from __future__ import annotations
import logging
import sys
from collections.abc import AsyncIterator, Iterator, Mapping
from types import TracebackType
from typing import Any, cast
from langchain_core.runnables import RunnableConfig
from langgraph_sdk._async.stream import AsyncThreadStream
from langgraph_sdk._sync.stream import SyncThreadStream
from langgraph_sdk.client import LangGraphClient, SyncLangGraphClient
from langgraph_sdk.stream.decoders import DataDecoder
from langgraph.types import Command
logger = logging.getLogger(__name__)
def _translate_command_input(input: Any) -> Any:
"""Translate a local `Command` into the v3 wire `input`, else passthrough.
The v3 server decides start-vs-resume from thread state (an interrupted
run or pending interrupts) and, on resume, wraps the whole `input` as
`{"resume": input}` itself. So a resume `Command` must surface its raw
`resume` value as the wire `input` (not the serialized dataclass, which
the server would double-wrap). The v3 `run.start` path has no `goto` /
`update` channel, so those are rejected.
`langgraph_sdk` is upstream of `langgraph`, so this `Command`-aware
marshalling lives here on the adapter (langgraph) side of the boundary.
"""
if isinstance(input, Command):
if input.goto or input.update:
raise NotImplementedError(
"RemoteGraph v3 streaming supports `Command(resume=...)` only; "
"`goto` / `update` are not supported by the v3 `run.start` path."
)
return input.resume
return input
class _ChannelProjection:
"""Decoded projection for a wire channel the SDK doesn't type natively.
Subscribes to `channel` and decodes each event's `params["data"]` through the
SDK's `DataDecoder` — the same decoder the SDK's own plain-payload projections
(`values` / `updates` / `checkpoints` / `tasks`) use, which yields the item
shape that local's `UpdatesTransformer` / `CheckpointsTransformer` /
`TasksTransformer` / `CustomTransformer` push, so iterating this matches the
corresponding local projection. Iterate with `for` against a sync stream and
`async for` against an async stream (matching the underlying SDK). Opening
the subscription requires the stream to be entered (`with` / `async with`).
"""
def __init__(self, sdk: AsyncThreadStream | SyncThreadStream, channel: str) -> None:
self._sdk = sdk
self._channel = channel
def __iter__(self) -> Iterator[Any]:
# Sync lane: the sync adapter's SDK returns a sync iterator here.
decoder = DataDecoder(self._channel)
events = cast(Iterator[Any], self._sdk.subscribe([self._channel]))
for event in events:
yield from decoder.feed(event)
def __aiter__(self) -> AsyncIterator[Any]:
return self._aiter()
async def _aiter(self) -> AsyncIterator[Any]:
# Async lane: the async adapter's SDK returns an async iterator here.
decoder = DataDecoder(self._channel)
events = cast(AsyncIterator[Any], self._sdk.subscribe([self._channel]))
async for event in events:
for item in decoder.feed(event):
yield item
class _ProjectionRegistry(Mapping[str, Any]):
"""Read-only name -> projection registry mirroring local `GraphRunStream.extensions`.
Resolution follows the langchain-protocol wire channels, and every entry
yields the same decoded item shape local does (`params.data`):
- `values` / `messages` / `tool_calls` / `subgraphs` resolve to the SDK's
decoded typed projections. `tool_calls` is the `tools` channel tool
*execution* events, distinct from the tool-call *inputs* inside `messages`.
- `updates` / `checkpoints` / `tasks` / `custom` have no typed SDK
projection, so they resolve to a `_ChannelProjection` that subscribes to
the channel and yields `params.data` matching the local transformer
output for those channels.
- any other name is a specific custom-extension channel
(`thread.extensions[name]`, i.e. `custom:<name>`).
`lifecycle` is intentionally absent: local derives a status payload from it
rather than yielding `params.data`, and the SDK consumes it as control-plane
(driving `output` / `interrupted`), so its shape can't be matched — it
remains reachable via the raw `events` iterator. `debug` is absent too: it
is not a v3 wire channel.
"""
# Channels the SDK decodes into typed projections.
_TYPED = ("values", "messages", "tool_calls", "subgraphs")
# Wire channels with no typed SDK projection — decoded here to match local.
_DECODED = ("updates", "checkpoints", "tasks", "custom")
_NATIVE = _TYPED + _DECODED
def __init__(self, sdk: AsyncThreadStream | SyncThreadStream) -> None:
self._sdk = sdk
def __getitem__(self, name: str) -> Any:
if name in self._TYPED:
return getattr(self._sdk, name)
if name in self._DECODED:
return _ChannelProjection(self._sdk, name)
return self._sdk.extensions[name]
def __iter__(self) -> Iterator[str]:
return iter(self._NATIVE)
def __len__(self) -> int:
return len(self._NATIVE)
class _RemoteGraphRunStream:
"""Sync adapter: SyncThreadStream -> GraphRunStream surface."""
def __init__(
self,
*,
sync_client: SyncLangGraphClient,
sdk_thread: SyncThreadStream,
input: Any,
config: RunnableConfig | None,
metadata: dict[str, Any] | None,
) -> None:
self._client = sync_client
self._sdk = sdk_thread
self._start_kwargs: dict[str, Any] = {
"input": _translate_command_input(input),
"config": config,
"metadata": metadata,
}
self._run_id: str | None = None
self._closed = False
self._events_iter: Iterator[Any] | None = None
def __enter__(self) -> _RemoteGraphRunStream:
if self._closed:
raise RuntimeError("_RemoteGraphRunStream already closed")
self._sdk.__enter__()
try:
result = self._sdk.run.start(**self._start_kwargs)
except BaseException:
self._sdk.__exit__(*sys.exc_info())
raise
self._run_id = result["run_id"]
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc: BaseException | None,
tb: TracebackType | None,
) -> None:
if self._closed:
return
self._closed = True
self._sdk.__exit__(exc_type, exc, tb)
@property
def output(self) -> Any:
return self._sdk.output
@property
def interrupted(self) -> bool:
"""Whether the remote run is currently paused at an interrupt.
Reads the SDK's current value without blocking. This differs from
local `GraphRunStream.interrupted`, which drives the run to terminal
before returning the flag. Sync callers needing a wait-for-interrupt
pattern should switch to the async API and drain a projection.
"""
return self._sdk.interrupted
@property
def interrupts(self) -> list[Any]:
"""Current outstanding interrupt payloads (non-blocking snapshot)."""
return list(self._sdk.interrupts)
@property
def values(self) -> Any:
"""Live state-snapshot projection (mirrors local `run.values`)."""
return self._sdk.values
@property
def messages(self) -> Any:
"""Live message-stream projection (mirrors local `run.messages`)."""
return self._sdk.messages
@property
def subgraphs(self) -> Any:
"""Subgraph-handle projection (mirrors local `run.subgraphs`)."""
return self._sdk.subgraphs
@property
def tool_calls(self) -> Any:
"""Tool-execution projection (the `tools` channel).
These are tool *execution* events (started / output / finished),
distinct from the tool-call *inputs* carried inside `messages`.
"""
return self._sdk.tool_calls
@property
def extensions(self) -> Mapping[str, Any]:
"""Name -> projection registry (mirrors local `run.extensions`)."""
return _ProjectionRegistry(self._sdk)
def abort(self) -> None:
if self._closed:
return
self._closed = True
if self._run_id is not None:
try:
self._client.runs.cancel(self._sdk.thread_id, self._run_id, wait=False)
except Exception:
logger.debug("abort: runs.cancel failed", exc_info=True)
try:
self._sdk.close()
except Exception:
logger.debug("abort: sdk.close failed", exc_info=True)
def __iter__(self) -> Iterator[Any]:
if self._events_iter is None:
self._events_iter = iter(self._sdk.events)
return self._events_iter
def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
yield from self._sdk.interleave_projections(list(names))
class _AsyncRemoteGraphRunStream:
"""Async adapter: AsyncThreadStream -> AsyncGraphRunStream surface."""
def __init__(
self,
*,
client: LangGraphClient,
sdk_thread: AsyncThreadStream,
input: Any,
config: RunnableConfig | None,
metadata: dict[str, Any] | None,
) -> None:
self._client = client
self._sdk = sdk_thread
self._start_kwargs: dict[str, Any] = {
"input": _translate_command_input(input),
"config": config,
"metadata": metadata,
}
self._run_id: str | None = None
self._closed = False
self._events_aiter: AsyncIterator[Any] | None = None
async def __aenter__(self) -> _AsyncRemoteGraphRunStream:
if self._closed:
raise RuntimeError("_AsyncRemoteGraphRunStream already closed")
await self._sdk.__aenter__()
try:
result = await self._sdk.run.start(**self._start_kwargs)
except BaseException:
await self._sdk.__aexit__(*sys.exc_info())
raise
self._run_id = result["run_id"]
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc: BaseException | None,
tb: TracebackType | None,
) -> None:
if self._closed:
return
self._closed = True
await self._sdk.__aexit__(exc_type, exc, tb)
async def output(self) -> Any:
"""Drive the remote run to completion and return the final state.
Awaits the SDK's terminal-state awaitable, matching local
`AsyncGraphRunStream.output()` (a method, not a property, so
`run.output` without `await` fails at type-check time rather than
silently yielding a coroutine).
"""
return await self._sdk.output
async def interrupted(self) -> bool:
"""Whether the remote run is currently paused at an interrupt.
Reads the SDK's current value without blocking. This differs from
local `AsyncGraphRunStream.interrupted()`, which drives the run to
terminal before returning the flag. Callers that need a
wait-for-interrupt pattern should drain a projection (e.g.,
`async for snap in stream._sdk.values`) until the SDK's paused
sentinel fires, then call this method.
"""
return self._sdk.interrupted
async def interrupts(self) -> list[Any]:
"""Current outstanding interrupt payloads.
Non-blocking; reads the SDK's current snapshot. See `interrupted`
for the divergence from local v3 semantics.
"""
return list(self._sdk.interrupts)
@property
def values(self) -> Any:
"""Live state-snapshot projection (mirrors local `run.values`)."""
return self._sdk.values
@property
def messages(self) -> Any:
"""Live message-stream projection (mirrors local `run.messages`)."""
return self._sdk.messages
@property
def subgraphs(self) -> Any:
"""Subgraph-handle projection (mirrors local `run.subgraphs`)."""
return self._sdk.subgraphs
@property
def tool_calls(self) -> Any:
"""Tool-execution projection (the `tools` channel).
These are tool *execution* events (started / output / finished),
distinct from the tool-call *inputs* carried inside `messages`.
"""
return self._sdk.tool_calls
@property
def extensions(self) -> Mapping[str, Any]:
"""Name -> projection registry (mirrors local `run.extensions`)."""
return _ProjectionRegistry(self._sdk)
async def abort(self) -> None:
if self._closed:
return
self._closed = True
if self._run_id is not None:
try:
await self._client.runs.cancel(
self._sdk.thread_id, self._run_id, wait=False
)
except Exception:
logger.debug("abort: runs.cancel failed", exc_info=True)
try:
await self._sdk.close()
except Exception:
logger.debug("abort: sdk.close failed", exc_info=True)
def __aiter__(self) -> AsyncIterator[Any]:
if self._events_aiter is None:
self._events_aiter = self._sdk.events.__aiter__()
return self._events_aiter
# Note: deliberately no `interleave()` on the async adapter. Local
# `AsyncGraphRunStream` doesn't have one either (async callers compose
# with `asyncio.gather` / `asyncio.as_completed`). The sync adapter
# provides `interleave()` because sync callers have no comparable
# primitive for iterating multiple iterators concurrently.
+1 -57
View File
@@ -37,23 +37,13 @@ from langgraph._internal._constants import (
)
from langgraph._internal._runnable import create_task_in_config_context
from langgraph._internal._timeout import sync_timeout_unsupported
from langgraph.errors import (
GraphBubbleUp,
NodeCancelledError,
NodeTimeoutError,
ParentCommand,
)
from langgraph.errors import GraphBubbleUp, NodeTimeoutError, ParentCommand
from langgraph.pregel.protocol import StreamProtocol
from langgraph.runtime import ExecutionInfo, Runtime
from langgraph.types import Command, PregelExecutableTask, RetryPolicy, TimeoutPolicy
logger = logging.getLogger(__name__)
SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
# `asyncio.Task.cancelling()` was added in Python 3.11. It reports the number of
# pending cancel requests on the task: ``0`` means no external code asked us to
# cancel — so a ``CancelledError`` observed here was raised by the task body
# itself (the user's node) rather than by pregel cancelling sibling tasks.
SUPPORTS_TASK_CANCELLING = sys.version_info >= (3, 11)
def _timeout_secs(value: float | timedelta) -> float:
@@ -312,28 +302,6 @@ class _IdleProgressCallbackHandler(BaseCallbackHandler):
on_custom_event = _touch
def _is_user_raised_cancelled() -> bool:
"""Return True if the in-flight ``CancelledError`` came from the task body.
Pregel cancels sibling tasks via ``task.cancel()`` when a peer fails, which
increments ``asyncio.Task.cancelling()`` on the target before the cancel
actually fires. A user node that calls ``raise asyncio.CancelledError()``
from inside its own body raises while ``cancelling() == 0``, which is the
signal we use to convert the exception into a regular
:class:`NodeCancelledError`.
Returns ``False`` when we can't tell (``cancelling()`` unavailable, or no
current task neither should happen in practice from ``arun_with_retry``)
so framework-initiated cancellation continues to propagate unchanged.
"""
if not SUPPORTS_TASK_CANCELLING:
return False
current = asyncio.current_task()
if current is None:
return False
return current.cancelling() == 0
def _drain_cancelled(task: asyncio.Task[Any]) -> None:
# Mark the abandoned task's exception as retrieved so asyncio doesn't log it.
with suppress(asyncio.CancelledError):
@@ -632,12 +600,6 @@ def run_with_retry(
except GraphBubbleUp:
# if interrupted, end
raise
except asyncio.CancelledError as exc:
# A sync node has no asyncio context, so any ``CancelledError`` that
# reaches here was raised by the node body itself. Surface it as a
# regular exception so the pregel runner panics the run instead of
# treating the task as a silent tear-down (LSD-1507).
raise NodeCancelledError(task.name) from exc
except Exception as exc:
if SUPPORTS_EXC_NOTES:
exc.add_note(f"During task with name '{task.name}' and id '{task.id}'")
@@ -774,24 +736,6 @@ async def arun_with_retry(
# if interrupted, end
_finish_timed_attempt(config, attempt_ctx)
raise
except asyncio.CancelledError as exc:
# ``CancelledError`` reaches us in two very different shapes:
# 1. Pregel cancelled this task because a sibling failed
# (``asyncio.Task.cancelling() >= 1``). The framework already
# knows the run is failing and we must let cancellation
# propagate so the watchdog/cleanup code in the runner sees a
# cancelled future.
# 2. The node body itself raised ``asyncio.CancelledError`` (
# ``cancelling() == 0``). The runner would otherwise treat
# this as silent tear-down and the run would report
# ``success`` even though the node failed (LSD-1507). Convert
# it into :class:`NodeCancelledError` so it follows the same
# path as any other node failure.
if _is_user_raised_cancelled():
_finish_timed_attempt(config, attempt_ctx, exc)
raise NodeCancelledError(task.name) from exc
_finish_timed_attempt(config, attempt_ctx, exc)
raise
except Exception as exc:
_finish_timed_attempt(config, attempt_ctx, exc)
if SUPPORTS_EXC_NOTES:
+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:
+3 -26
View File
@@ -6,13 +6,9 @@ from typing import Any
from uuid import UUID
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
EXCLUDED_METADATA_KEYS,
CheckpointMetadata,
PendingWrite,
)
from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite
from langgraph._internal._config import filter_to_user_tags, patch_checkpoint_map
from langgraph._internal._config import patch_checkpoint_map
from langgraph._internal._constants import (
CONF,
CONFIG_KEY_CHECKPOINT_NS,
@@ -44,31 +40,12 @@ def map_debug_tasks(tasks: Iterable[PregelExecutableTask]) -> Iterator[TaskPaylo
if task.config is not None and TAG_HIDDEN in task.config.get("tags", []):
continue
payload: TaskPayload = {
yield {
"id": task.id,
"name": task.name,
"input": task.input,
"triggers": task.triggers,
}
# Forward user-meaningful metadata only — drop langgraph's internal
# framework keys (langgraph_node/step/triggers/path/checkpoint_ns,
# thread_id, ...), which are redundant with the task's own fields and
# namespace. Keys like `lc_agent_name`, `ls_integration`, and any
# user-supplied metadata ride along. Filtered config tags are folded in
# under `tags`, mirroring the messages stream handler. (The comprehension
# also yields a fresh dict, so mutating `md` doesn't touch task.config.)
if task.config is not None:
md = {
k: v
for k, v in (task.config.get("metadata") or {}).items()
if k not in EXCLUDED_METADATA_KEYS
}
filtered_tags = filter_to_user_tags(task.config.get("tags"))
if filtered_tags is not None:
md["tags"] = filtered_tags
if md:
payload["metadata"] = md
yield payload
def is_multiple_channel_write(value: Any) -> bool:
+4 -69
View File
@@ -108,7 +108,6 @@ from langgraph.callbacks import (
get_sync_graph_callback_manager_for_config,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.delta import DeltaChannel
from langgraph.channels.topic import Topic
from langgraph.config import get_config
from langgraph.constants import END
@@ -1997,33 +1996,11 @@ class Pregel(
),
)
# save task writes
has_delta_writes = any(
isinstance(channels.get(c), DeltaChannel)
for task in run_tasks
for c, _ in task.writes
)
should_put_writes = saved is not None or has_delta_writes
if saved is None and has_delta_writes:
# If there is no previous checkpoint, we need to create a stub checkpoint
# so the first delta writes has a parent to anchor under.
# This is the model of DeltaChannel.
stub = empty_checkpoint()
checkpoint_config = checkpointer.put(
patch_configurable(
checkpoint_config, {CONFIG_KEY_CHECKPOINT_ID: None}
),
stub,
{"source": "update", "step": -1, "parents": {}},
{},
)
for task_id, task in zip(run_task_ids, run_tasks):
# channel writes are saved to current checkpoint
channel_writes = [w for w in task.writes if w[0] != PUSH]
if should_put_writes and channel_writes:
if saved and channel_writes:
checkpointer.put_writes(checkpoint_config, channel_writes, task_id)
# apply to checkpoint and save
apply_writes(
checkpoint,
@@ -2464,31 +2441,10 @@ class Pregel(
),
)
# save task writes
has_delta_writes = any(
isinstance(channels.get(c), DeltaChannel)
for task in run_tasks
for c, _ in task.writes
)
should_put_writes = saved is not None or has_delta_writes
if saved is None and has_delta_writes:
# If there is no previous checkpoint, we need to create a stub checkpoint
# so the first delta writes has a parent to anchor under.
# This is the model of DeltaChannel.
stub = empty_checkpoint()
checkpoint_config = await checkpointer.aput(
patch_configurable(
checkpoint_config, {CONFIG_KEY_CHECKPOINT_ID: None}
),
stub,
{"source": "update", "step": -1, "parents": {}},
{},
)
for task_id, task in zip(run_task_ids, run_tasks):
# channel writes are saved to current checkpoint
channel_writes = [w for w in task.writes if w[0] != PUSH]
if should_put_writes and channel_writes:
if saved and channel_writes:
await checkpointer.aput_writes(
checkpoint_config, channel_writes, task_id
)
@@ -2879,9 +2835,7 @@ class Pregel(
config[CONF][CONFIG_KEY_DURABILITY] = durability_
# build server_info from metadata + parent runtime
parent_runtime = _coerce_parent_runtime(
config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
)
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
server_info = _build_server_info(config, parent_runtime)
runtime = Runtime(
@@ -3322,9 +3276,7 @@ class Pregel(
config[CONF][CONFIG_KEY_DURABILITY] = durability_
# build server_info from metadata + parent runtime
parent_runtime = _coerce_parent_runtime(
config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
)
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
server_info = _build_server_info(config, parent_runtime)
runtime = Runtime(
@@ -4301,23 +4253,6 @@ def _resolve_parent_ns(
return tuple(ns.split(NS_SEP))
def _coerce_parent_runtime(value: Any) -> Runtime[Any]:
"""Normalize the value stored under `CONFIG_KEY_RUNTIME` into a `Runtime`.
During a graph run this is always a `Runtime` the framework created and
published for child tasks to inherit. Layers outside the run (for example a
server's graph-factory path) may instead seed an object that only carries
`context`/`store`. Adopt its `context` so context set at the graph level
plumbs through (`merge` lets the run's own `context` take precedence when
one is provided). `store` is resolved separately (passed to the graph
directly), so it is not read off here. `merge` then combines this with the
run's own runtime, including the framework's `control`.
"""
if isinstance(value, Runtime):
return value
return Runtime(context=getattr(value, "context", None))
def _build_server_info(
config: RunnableConfig, parent_runtime: Runtime[Any]
) -> ServerInfo | None:
+9 -126
View File
@@ -55,10 +55,6 @@ from langgraph._internal._constants import (
NS_SEP,
)
from langgraph.errors import GraphInterrupt, ParentCommand
from langgraph.pregel._remote_run_stream import (
_AsyncRemoteGraphRunStream,
_RemoteGraphRunStream,
)
from langgraph.pregel.protocol import PregelProtocol, StreamProtocol
from langgraph.types import (
All,
@@ -84,8 +80,6 @@ _CONF_DROPLIST = frozenset(
),
)
_V3_SUPPORTED_KWARGS = frozenset({"metadata", "headers"})
def _sanitize_config_value(v: Any) -> Any:
"""Recursively sanitize a config value to ensure it contains only primitives."""
@@ -192,34 +186,6 @@ class RemoteGraph(PregelProtocol):
)
return self.sync_client
def _reject_v3_unsupported(
self,
*,
control: Any,
transformers: Any,
interrupt_before: Any,
interrupt_after: Any,
extra_kwargs: dict[str, Any],
) -> None:
"""Raise NotImplementedError for kwargs unsupported by the v3 streaming path."""
for name, value in (
("control", control),
("transformers", transformers),
("interrupt_before", interrupt_before),
("interrupt_after", interrupt_after),
):
if value:
raise NotImplementedError(
f"RemoteGraph.stream_events(version='v3') does not support `{name}=`."
)
unknown = set(extra_kwargs) - _V3_SUPPORTED_KWARGS
if unknown:
raise NotImplementedError(
f"RemoteGraph.stream_events(version='v3') does not support "
f"the following kwargs: {sorted(unknown)!r}. "
f"Supported: {sorted(_V3_SUPPORTED_KWARGS)!r}."
)
def copy(self, update: dict[str, Any]) -> Self:
attrs = {**self.__dict__, **update}
return self.__class__(attrs.pop("assistant_id"), **attrs)
@@ -1030,104 +996,21 @@ class RemoteGraph(PregelProtocol):
else:
yield chunk
def stream_events(
self,
input: Any,
config: RunnableConfig | None = None,
*,
version: Literal["v1", "v2", "v3"] = "v2",
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
control: Any = None,
transformers: Sequence[Any] | None = None,
headers: dict[str, str] | None = None,
**kwargs: Any,
) -> Any:
"""Stream events from this remote graph.
For `version="v3"`, returns a `_RemoteGraphRunStream` whose surface
matches the local `GraphRunStream`. For other versions, delegates to
`Runnable.stream_events`.
"""
if version != "v3":
return super().stream_events(input, config, version=version, **kwargs)
self._reject_v3_unsupported(
control=control,
transformers=transformers,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
extra_kwargs=kwargs,
)
sync_client = self._validate_sync_client()
sanitized = self._sanitize_config(merge_configs(self.config, config))
thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
merged_headers = (
_merge_tracing_headers(headers) if self.distributed_tracing else headers
)
sdk_thread = sync_client.threads.stream(
thread_id=thread_id,
assistant_id=self.assistant_id,
headers=merged_headers,
)
return _RemoteGraphRunStream(
sync_client=sync_client,
sdk_thread=sdk_thread,
input=input,
config=sanitized,
metadata=kwargs.get("metadata"),
)
async def astream_events(
self,
input: Any,
config: RunnableConfig | None = None,
*,
version: Literal["v1", "v2", "v3"] = "v2",
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
control: Any = None,
transformers: Sequence[Any] | None = None,
headers: dict[str, str] | None = None,
version: Literal["v1", "v2"],
include_names: Sequence[All] | None = None,
include_types: Sequence[All] | None = None,
include_tags: Sequence[All] | None = None,
exclude_names: Sequence[All] | None = None,
exclude_types: Sequence[All] | None = None,
exclude_tags: Sequence[All] | None = None,
**kwargs: Any,
) -> Any:
"""Async-stream events from this remote graph.
For `version="v3"`, awaits to an `_AsyncRemoteGraphRunStream`, matching
the local `Pregel.astream_events(version="v3")` awaitable contract:
`async with await rg.astream_events(..., version="v3") as run`. For
`version="v1"`/`"v2"`, raises NotImplementedError (use `astream`).
"""
if version != "v3":
raise NotImplementedError(
f"RemoteGraph.astream_events(version={version!r}) is not "
"implemented; use astream() for v1/v2 streaming or "
"version='v3'."
)
self._reject_v3_unsupported(
control=control,
transformers=transformers,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
extra_kwargs=kwargs,
)
client = self._validate_client()
sanitized = self._sanitize_config(merge_configs(self.config, config))
thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
merged_headers = (
_merge_tracing_headers(headers) if self.distributed_tracing else headers
)
sdk_thread = client.threads.stream(
thread_id=thread_id,
assistant_id=self.assistant_id,
headers=merged_headers,
)
return _AsyncRemoteGraphRunStream(
client=client,
sdk_thread=sdk_thread,
input=input,
config=sanitized,
metadata=kwargs.get("metadata"),
)
) -> AsyncIterator[dict[str, Any]]:
raise NotImplementedError
@overload
def invoke(
+2 -2
View File
@@ -17,9 +17,9 @@ from langgraph.stream.transformers import (
CheckpointsTransformer,
CustomTransformer,
DebugTransformer,
LifecycleEvent,
LifecyclePayload,
LifecycleTransformer,
SubgraphStatus,
SubgraphTransformer,
TasksTransformer,
UpdatesTransformer,
@@ -32,13 +32,13 @@ __all__ = [
"CustomTransformer",
"DebugTransformer",
"GraphRunStream",
"LifecycleEvent",
"LifecyclePayload",
"LifecycleTransformer",
"ProtocolEvent",
"StreamChannel",
"StreamTransformer",
"SubgraphRunStream",
"SubgraphStatus",
"SubgraphTransformer",
"TasksTransformer",
"UpdatesTransformer",
+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:
+1 -18
View File
@@ -35,7 +35,7 @@ class ProtocolEvent(TypedDict):
"""
type: Literal["event"]
event_id: NotRequired[str] # snake_case to match the langchain-protocol wire field
eventId: NotRequired[str]
seq: NotRequired[int]
method: str # StreamMode value: "values", "messages", "custom", etc.
params: _ProtocolEventParams
@@ -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.
@@ -12,7 +12,7 @@ from langgraph.stream._mux import StreamMux
from langgraph.stream._types import ProtocolEvent
if TYPE_CHECKING:
from langgraph.stream.transformers import SubgraphStatus
from langgraph.stream.transformers import LifecycleEvent
def _drive_until_done(pump: Callable[[], bool]) -> None:
@@ -523,8 +523,8 @@ class _SubgraphRunStreamMixin:
path: tuple[str, ...]
graph_name: str | None
trigger_call_id: str | None
status: SubgraphStatus
parent_task_id: str | None
status: LifecycleEvent
error: str | None
_seen_terminal: bool
@@ -538,7 +538,7 @@ class SubgraphRunStream(GraphRunStream, _SubgraphRunStreamMixin):
*,
path: tuple[str, ...],
graph_name: str | None = None,
trigger_call_id: str | None = None,
parent_task_id: str | None = None,
) -> None:
# Capture the parent-inherited pump before super().__init__
# touches anything; we delegate to it from `_pump_next`.
@@ -550,7 +550,7 @@ class SubgraphRunStream(GraphRunStream, _SubgraphRunStreamMixin):
)
self.path = path
self.graph_name = graph_name
self.trigger_call_id = trigger_call_id
self.parent_task_id = parent_task_id
self.status = "started"
self.error = None
self._seen_terminal = False
@@ -581,7 +581,7 @@ class AsyncSubgraphRunStream(AsyncGraphRunStream, _SubgraphRunStreamMixin):
*,
path: tuple[str, ...],
graph_name: str | None = None,
trigger_call_id: str | None = None,
parent_task_id: str | None = None,
) -> None:
self._parent_apump_fn: Callable[[], Awaitable[bool]] | None = mux._apump_fn
super().__init__(
@@ -591,7 +591,7 @@ class AsyncSubgraphRunStream(AsyncGraphRunStream, _SubgraphRunStreamMixin):
)
self.path = path
self.graph_name = graph_name
self.trigger_call_id = trigger_call_id
self.parent_task_id = parent_task_id
self.status = "started"
self.error = None
self._seen_terminal = False
+224 -163
View File
@@ -8,8 +8,8 @@ from langchain_core.language_models.chat_model_stream import (
AsyncChatModelStream,
ChatModelStream,
)
from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
from langchain_protocol.protocol import LifecycleCause, MessagesData
from langchain_core.messages import AIMessageChunk, BaseMessage
from langchain_protocol.protocol import MessagesData
from typing_extensions import NotRequired, TypedDict
from langgraph.errors import GraphDrained, GraphInterrupt
@@ -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)
@@ -330,21 +319,39 @@ 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"]
LifecycleEvent = Literal["started", "completed", "failed", "interrupted", "drained"]
"""State transition surfaced on the `lifecycle` channel for a tracked subgraph.
Each value:
- `started` first `tasks` event observed at the tracked namespace. Carries
`graph_name` / `parent_task_id` / optional `metadata` describing what spawned
the subgraph.
- `completed` the dispatching task's `TaskResultPayload` arrived with neither
error nor interrupts. Also emitted by `finalize` for any tracked namespace
still open at run end.
- `failed` the dispatching task's result carried an `error`, OR the run
failed at top level with a non-interrupt / non-drain exception. Carries
`error` (string).
- `interrupted` the dispatching task's result carried `interrupts` (takes
precedence over `error` if both present), OR the run failed with
`GraphInterrupt`.
- `drained` the run was cooperatively stopped at a superstep boundary via
`RunControl.request_drain()` (e.g. SIGTERM). The checkpoint is saved and
the run is resumable.
"""
def _parse_ns_segment(segment: str) -> tuple[str, str | None]:
"""Split a namespace segment into `(graph_name, trigger_call_id)`.
"""Split a namespace segment into `(graph_name, parent_task_id)`.
Segments are formatted `node_name:task_id` by `prepare_next_tasks`.
Returns `(segment, None)` if no `:` is present.
@@ -353,6 +360,36 @@ def _parse_ns_segment(segment: str) -> tuple[str, str | None]:
return name, task_id if sep else None
def _extract_dispatching_tool_call_id(payload: Any) -> str | None:
"""Return the model-side `tool_call_id` from a per-call dispatched task's
`input`, or `None` if the payload doesn't match a recognised shape.
Two shapes are recognised; both are duck-typed so any tool runner
that mimics the layout participates without naming any specific
dispatcher's types:
1. Single-element list of tool-call dicts:
`[{"id": ..., "name": ..., "args": {...}}]`. The current public
shape `langchain.agents.create_agent` Send-fans this out per
pending tool call.
2. Dict envelope wrapping a tool call:
`{"tool_call": {"id": ..., "args": {...}, ...}, ...}`. Older
prebuilt agent paths Send-fan-out this shape.
"""
if isinstance(payload, dict):
tool_call = payload.get("tool_call")
if not isinstance(tool_call, dict):
return None
elif (
isinstance(payload, list) and len(payload) == 1 and isinstance(payload[0], dict)
):
tool_call = payload[0]
else:
return None
raw_id = tool_call.get("id")
return raw_id if isinstance(raw_id, str) else None
class LifecyclePayload(TypedDict, total=False):
"""Payload of a lifecycle event surfaced on the `lifecycle` channel.
@@ -362,12 +399,54 @@ class LifecyclePayload(TypedDict, total=False):
`run.lifecycle`.
"""
event: SubgraphStatus
event: LifecycleEvent
"""State transition. See `LifecycleEvent` for per-value semantics."""
namespace: list[str]
"""Checkpoint namespace of the subgraph the event is about. Always present.
A list of `node_name:task_id` segments, one per nesting level (root has
`[]`, a direct child of root has `["agent:abc123"]`, a grandchild has
`["agent:abc123", "tool:def456"]`, etc.). Stable identity across the
`started terminal` pair for the same subgraph instance.
"""
graph_name: NotRequired[str]
trigger_call_id: NotRequired[str]
cause: NotRequired[LifecycleCause]
"""Name of the parent-scope node that dispatched this subgraph
(`add_node` name, surrounding tool's name for in-tool invokes,
`Send` target name, etc.) parsed from the namespace tail
segment. Absent when the segment has no `:` separator.
"""
parent_task_id: str
"""Pregel task id of the dispatching task — the task whose execution
spawned this subgraph.
Always present on every event for the same subgraph instance. This is
the join key for correlating `started` terminal events and for
matching a `started` back to its `tasks` parent. Each Send produces
its own pregel task with its own id, so the join is 1:1 even when a
model dispatches multiple parallel tool calls in one turn.
"""
metadata: NotRequired[dict[str, Any]]
"""Optional generic descriptor of *what triggered* this subgraph.
Forwarded by protocol layers as the wire `lifecycle.started.metadata` field.
Shape:
- `{"type": "tool_call", "tool_call_id": "<id>"}` set when the subgraph
was triggered by a per-call tool dispatch (a model tool call routed
through whatever tool node the agent uses). `tool_call_id` is the
model-side id of the originating tool call, exposed so UI consumers
can anchor the lifecycle event back to the AI message that dispatched
it. The langgraph layer deliberately doesn't mine `args` — those live
on the AIMessage's `tool_calls[i].args` already, and consumers that
want descriptive intent (subagent type, prompt text, etc.) look it
up there to keep one source of truth.
Absent for structurally-triggered subgraphs (parallel branches via
`Send` with non-tool-call payloads, nested `graph.invoke()`, etc.) and
for tool dispatches whose envelope carried no `id`.
"""
error: NotRequired[str]
"""Error string. Set on `failed` events; absent otherwise."""
class _TasksLifecycleBase(StreamTransformer):
@@ -385,13 +464,13 @@ class _TasksLifecycleBase(StreamTransformer):
- `_should_track(ns)` scope filter (e.g. multi-depth vs
direct-children-only).
- `_on_started(ns, graph_name, trigger_call_id)` first sighting
action (push payload / build handle / etc.). Called once per
discovered namespace.
- `_on_terminal(ns, status, error)` terminal action (push
terminal payload / mark handle status). Called once per
tracked namespace at result time, or via `finalize` / `fail`
sweeps if no parent result arrived.
- `_on_started(ns, graph_name, parent_task_id, tool_call_id)`
first sighting action (push payload / build handle / etc.).
Called once per discovered namespace.
- `_on_terminal(ns, status, error, parent_task_id)` terminal
action (push terminal payload / mark handle status). Called
once per tracked namespace at result time, or via `finalize` /
`fail` sweeps if no parent result arrived.
Tasks events are suppressed from the main event log (`process`
returns False) they're folded into whichever projection the
@@ -404,26 +483,15 @@ class _TasksLifecycleBase(StreamTransformer):
def __init__(self, scope: tuple[str, ...] = ()) -> None:
super().__init__(scope)
self._seen: set[tuple[str, ...]] = set()
# Maps tracked namespace -> task_id of the parent task whose
# Maps tracked namespace -> task_id of the dispatching task whose
# `TaskResultPayload` will close it.
self._open: dict[tuple[str, ...], str] = {}
# lc_agent_name observed at each namespace (first task event wins).
# Not read by the base discriminator (which only checks whether the
# current task carries an lc_agent_name); maintained as extension state
# for subclasses that project named subagents — e.g. a `run.subagents`
# transformer reads this to filter to nested runs that have a name.
self._lc_by_ns: dict[tuple[str, ...], str | None] = {}
# Pregel task_id -> triggering LLM tool_call_id, harvested from a task
# whose `input` is a `tool_call_with_context` dict (current shape) or a
# list of tool-call dicts (legacy shape). The child subgraph's segment
# `node:<task_id>` shares this task_id, so a subagent recovers the tool
# call that spawned it (cross-payload).
self._pending_tool_calls: dict[str, str] = {}
# `cause` for the current `_on_started` dispatch, set immediately before
# the call and read by overrides that surface it. Keeping `cause` off the
# `_on_started` signature means overrides predating it (e.g. deepagents'
# `SubagentTransformer`) don't break.
self._pending_cause: LifecycleCause | None = None
# Maps task_id -> model-side `tool_call_id` for tasks whose `input`
# matched a recognized per-call tool-dispatch shape. The lifecycle
# hook joins on this when a child subgraph fires its first task
# event so it can anchor the lifecycle.started to the originating
# AI message tool call.
self._dispatching_tool_call_id: dict[str, str] = {}
# --- Template-method hooks (subclass overrides) ---
@@ -435,22 +503,33 @@ class _TasksLifecycleBase(StreamTransformer):
self,
ns: tuple[str, ...],
graph_name: str | None,
trigger_call_id: str | None,
parent_task_id: str | None,
tool_call_id: str | None = None,
) -> None:
"""Fired once per discovered namespace (first observed task event).
The triggering `cause` (if any) is available as `self._pending_cause`.
`tool_call_id` is the model-side id of the originating tool call
(from the per-call dispatched task's `input`). `None` for
structurally-triggered subgraphs or per-call envelopes that omitted
an `id`. Consumers join on `parent_task_id` (the pregel task id)
for identity; `tool_call_id` is purely an anchor back to the AI
message that dispatched the subgraph.
"""
raise NotImplementedError
def _on_terminal(
self,
ns: tuple[str, ...],
status: SubgraphStatus,
status: LifecycleEvent,
error: str | None,
parent_task_id: str,
) -> None:
"""Fired once per tracked namespace when its parent's result arrives,
or via finalize/fail safety-net sweeps.
"""Fired once per tracked namespace when its dispatching task's
result arrives, or via finalize/fail safety-net sweeps.
`parent_task_id` is the same id paired with the namespace at
`_on_started` time, so subscribers can correlate the terminal
event back to its `started`.
"""
raise NotImplementedError
@@ -464,122 +543,96 @@ class _TasksLifecycleBase(StreamTransformer):
if "result" in data:
self._handle_task_result(ns, data)
else:
self._record_identity(ns, data)
self._record_pending_tool_calls(data)
self._handle_task_start(ns, data)
# Tasks events are folded into the synthesized projections;
# suppress from the main event log so iterators don't double-see
# the same information in two shapes.
return False
def _record_identity(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
"""Record this namespace's `lc_agent_name` (first task event wins).
Runs for every task-start event, including `ns == self.scope` and
tracked children. Pregel emits parent-namespace tasks before
child-namespace tasks, so under that ordering the parent's identity is
recorded by the time a child event is evaluated in `_handle_task_start`.
"""
if ns in self._lc_by_ns:
def _handle_task_start(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
# Mine input shape on every tasks event (not just tracked ones)
# so we capture dispatching tasks that themselves live outside the
# tracked region but whose `id` will appear as `parent_task_id`
# for a child subgraph.
self._record_dispatching_tool_call_id(data)
if not self._should_track(ns) or ns in self._seen:
return
metadata = data.get("metadata") or {}
self._lc_by_ns[ns] = metadata.get("lc_agent_name")
self._seen.add(ns)
graph_name, parent_task_id = _parse_ns_segment(ns[-1])
tool_call_id = (
self._dispatching_tool_call_id.pop(parent_task_id, None)
if parent_task_id is not None
else None
)
self._on_started(
ns,
graph_name or None,
parent_task_id,
tool_call_id,
)
if parent_task_id is not None:
self._open[ns] = parent_task_id
def _record_pending_tool_calls(self, data: dict[str, Any]) -> None:
"""Harvest a task's triggering tool_call_id keyed by its task id.
def _record_dispatching_tool_call_id(self, data: dict[str, Any]) -> None:
"""Remember `task_id -> tool_call_id` if the task input matches
a recognized per-call tool-dispatch shape.
A tool-dispatch task seeds `task_id -> tool_call_id`; the spawned
subgraph's namespace segment `node:<task_id>` shares that id, letting
a subagent recover the tool call that caused it across payloads. Two
input shapes are handled: the current Pregel push model schedules each
tool call as its own task whose `input` is a `tool_call_with_context`
dict, while a legacy / batched model passes a list of tool-call dicts.
Shape detection and id extraction both live in
`_extract_dispatching_tool_call_id`; this method just records the
mapping under the dispatching task's own `id` so the lifecycle hook
can anchor a child subgraph back to the originating AI message
tool call when that subgraph's first task event arrives.
"""
task_id = data.get("id")
if not isinstance(task_id, str):
return
payload = data.get("input")
tool_call_id: str | None = None
# Current langgraph schedules each tool call as its own push task
# whose input is a `tool_call_with_context` dict.
if isinstance(payload, dict) and isinstance(payload.get("tool_call"), dict):
candidate = payload["tool_call"].get("id")
if isinstance(candidate, str):
tool_call_id = candidate
# Legacy / batched shape: input is a list of tool-call dicts.
elif isinstance(payload, list):
for tc in payload:
if isinstance(tc, dict) and isinstance(tc.get("id"), str):
tool_call_id = tc["id"] # first wins
break
if tool_call_id is not None:
self._pending_tool_calls[task_id] = tool_call_id
def _handle_task_start(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
if not self._should_track(ns) or ns in self._seen:
tool_call_id = _extract_dispatching_tool_call_id(data.get("input"))
if tool_call_id is None:
return
self._seen.add(ns)
parsed_name, trigger_call_id = _parse_ns_segment(ns[-1])
metadata = data.get("metadata") or {}
child_lc = metadata.get("lc_agent_name")
# A subagent boundary is any nested run carrying an lc_agent_name (set
# by create_agent). Unnamed runs (lc_agent_name None) are excluded.
#
# A same-named nested agent — e.g. a subagent that invokes itself — is
# surfaced because it re-asserts its own lc_agent_name. The trade-off:
# a non-agent subgraph invoked inside a tool inherits the parent's
# lc_agent_name and will also surface (named after the parent). A caller
# that needs to exclude such a graph can null lc_agent_name in the
# config it invokes that graph with.
is_subagent = child_lc is not None
graph_name = child_lc if is_subagent else (parsed_name or None)
cause: LifecycleCause | None = None
if is_subagent and trigger_call_id is not None:
tool_call_id = self._pending_tool_calls.get(trigger_call_id)
if tool_call_id:
cause = {"type": "toolCall", "tool_call_id": str(tool_call_id)}
# Deliver `cause` via instance state, not the call signature, so
# `_on_started` stays backward-compatible with overrides predating it.
self._pending_cause = cause
self._on_started(ns, graph_name, trigger_call_id)
if trigger_call_id is not None:
self._open[ns] = trigger_call_id
self._dispatching_tool_call_id[task_id] = tool_call_id
def _pop_terminal_transitions(
self, ns: tuple[str, ...], data: dict[str, Any]
) -> list[tuple[tuple[str, ...], SubgraphStatus, str | None]]:
"""Return and remove tracked children closed by this task result."""
) -> list[tuple[tuple[str, ...], LifecycleEvent, str | None, str]]:
"""Return and remove tracked children closed by this task result.
Each tuple is `(child_ns, status, error, parent_task_id)`.
`parent_task_id` is the dispatching task's id — the same id
we'd already paired with the namespace at `_on_started`.
"""
result_id = data.get("id")
if not result_id:
return []
transitions: list[tuple[tuple[str, ...], SubgraphStatus, str | None]] = []
for child_ns, parent_task_id in list(self._open.items()):
if child_ns[:-1] != ns or parent_task_id != result_id:
transitions: list[tuple[tuple[str, ...], LifecycleEvent, str | None, str]] = []
for child_ns, dispatching_task_id in list(self._open.items()):
if child_ns[:-1] != ns or dispatching_task_id != result_id:
continue
status, error = _terminal_from_result(data)
transitions.append((child_ns, status, error))
transitions.append((child_ns, status, error, dispatching_task_id))
del self._open[child_ns]
return transitions
def _handle_task_result(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
for child_ns, status, error in self._pop_terminal_transitions(ns, data):
self._on_terminal(child_ns, status, error)
for child_ns, status, error, parent_task_id in self._pop_terminal_transitions(
ns, data
):
self._on_terminal(child_ns, status, error, parent_task_id)
def finalize(self) -> None:
"""Emit `completed` for any tracked namespace still open at run end."""
for ns in list(self._open):
self._on_terminal(ns, "completed", None)
for ns, parent_task_id in list(self._open.items()):
self._on_terminal(ns, "completed", None, parent_task_id)
self._open.clear()
def fail(self, err: BaseException) -> None:
"""Emit terminal status for any tracked namespace still open."""
status, error_str = _status_from_exception(err)
for ns in list(self._open):
self._on_terminal(ns, status, error_str)
for ns, parent_task_id in list(self._open.items()):
self._on_terminal(ns, status, error_str, parent_task_id)
self._open.clear()
def _status_from_exception(err: BaseException) -> tuple[SubgraphStatus, str | None]:
def _status_from_exception(err: BaseException) -> tuple[LifecycleEvent, str | None]:
"""Map a run exception to a subgraph terminal status and error string."""
if isinstance(err, GraphDrained):
return "drained", None
@@ -590,7 +643,7 @@ def _status_from_exception(err: BaseException) -> tuple[SubgraphStatus, str | No
def _terminal_from_result(
payload: dict[str, Any],
) -> tuple[SubgraphStatus, str | None]:
) -> tuple[LifecycleEvent, str | None]:
"""Map a `TaskResultPayload` to a `(status, error)` pair.
Order matters: a result with both `error` and `interrupts` prefers
@@ -639,29 +692,37 @@ class LifecycleTransformer(_TasksLifecycleBase):
self,
ns: tuple[str, ...],
graph_name: str | None,
trigger_call_id: str | None,
parent_task_id: str | None,
tool_call_id: str | None = None,
) -> None:
if trigger_call_id is None:
# Without a task id we can't correlate a parent-result
if parent_task_id is None:
# Without a task id we can't correlate a dispatching-task-result
# event back to this namespace — skip the started payload
# and rely on finalize/fail to close.
return
payload: LifecyclePayload = {"event": "started", "namespace": list(ns)}
payload: LifecyclePayload = {
"event": "started",
"namespace": list(ns),
"parent_task_id": parent_task_id,
}
if graph_name:
payload["graph_name"] = graph_name
payload["trigger_call_id"] = trigger_call_id
cause = self._pending_cause
if cause is not None:
payload["cause"] = cause
if tool_call_id is not None:
payload["metadata"] = {"type": "tool_call", "tool_call_id": tool_call_id}
self._channel.push(payload)
def _on_terminal(
self,
ns: tuple[str, ...],
status: SubgraphStatus,
status: LifecycleEvent,
error: str | None,
parent_task_id: str,
) -> None:
payload: LifecyclePayload = {"event": status, "namespace": list(ns)}
payload: LifecyclePayload = {
"event": status,
"namespace": list(ns),
"parent_task_id": parent_task_id,
}
if error is not None:
payload["error"] = error
self._channel.push(payload)
@@ -714,7 +775,8 @@ class SubgraphTransformer(_TasksLifecycleBase):
self,
ns: tuple[str, ...],
graph_name: str | None,
trigger_call_id: str | None,
parent_task_id: str | None,
tool_call_id: str | None = None, # noqa: ARG002
) -> None:
if self._mux is None:
return
@@ -723,14 +785,11 @@ class SubgraphTransformer(_TasksLifecycleBase):
except RuntimeError:
return
handle_cls = AsyncSubgraphRunStream if child_mux.is_async else SubgraphRunStream
# The triggering `cause` (on `self._pending_cause`) is a wire/lifecycle
# concern carried on `LifecyclePayload`; the in-process subgraph
# navigation handle does not expose it.
handle = handle_cls(
mux=child_mux,
path=ns,
graph_name=graph_name,
trigger_call_id=trigger_call_id,
parent_task_id=parent_task_id,
)
self._handles[ns] = handle
self._log.push(handle)
@@ -738,8 +797,9 @@ class SubgraphTransformer(_TasksLifecycleBase):
def _on_terminal(
self,
ns: tuple[str, ...],
status: SubgraphStatus,
status: LifecycleEvent,
error: str | None,
parent_task_id: str, # noqa: ARG002
) -> None:
handle = self._handles.get(ns)
if handle is None or not self._mark_terminal(handle, status, error):
@@ -749,8 +809,9 @@ class SubgraphTransformer(_TasksLifecycleBase):
async def _aon_terminal(
self,
ns: tuple[str, ...],
status: SubgraphStatus,
status: LifecycleEvent,
error: str | None,
parent_task_id: str, # noqa: ARG002
) -> None:
handle = self._handles.get(ns)
if handle is None or not self._mark_terminal(handle, status, error):
@@ -760,7 +821,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
def _mark_terminal(
self,
handle: SubgraphRunStream | AsyncSubgraphRunStream,
status: SubgraphStatus,
status: LifecycleEvent,
error: str | None,
) -> bool:
"""Mark a handle terminal once. Returns True on first transition."""
@@ -775,7 +836,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
def _close_or_fail_handle(
self,
handle: SubgraphRunStream | AsyncSubgraphRunStream,
status: SubgraphStatus,
status: LifecycleEvent,
error: str | None,
) -> None:
if handle._mux is None or handle._mux._events._closed:
@@ -788,7 +849,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
async def _aclose_or_fail_handle(
self,
handle: SubgraphRunStream | AsyncSubgraphRunStream,
status: SubgraphStatus,
status: LifecycleEvent,
error: str | None,
) -> None:
if handle._mux is None or handle._mux._events._closed:
@@ -827,14 +888,14 @@ class SubgraphTransformer(_TasksLifecycleBase):
ns = tuple(event["params"]["namespace"])
data = event["params"]["data"]
if "result" in data:
for child_ns, status, error in self._pop_terminal_transitions(ns, data):
await self._aon_terminal(child_ns, status, error)
for (
child_ns,
status,
error,
parent_task_id,
) in self._pop_terminal_transitions(ns, data):
await self._aon_terminal(child_ns, status, error, parent_task_id)
else:
# Mirror the sync `process` bookkeeping so the async lane
# observes parent identity / tool calls before discriminating
# a subagent boundary.
self._record_identity(ns, data)
self._record_pending_tool_calls(data)
self._handle_task_start(ns, data)
keep = False
else:
@@ -847,9 +908,9 @@ class SubgraphTransformer(_TasksLifecycleBase):
def _complete_open_handles(self) -> BaseException | None:
first_error: BaseException | None = None
for ns in list(self._open):
for ns, parent_task_id in list(self._open.items()):
try:
self._on_terminal(ns, "completed", None)
self._on_terminal(ns, "completed", None, parent_task_id)
except BaseException as e:
if first_error is None:
first_error = e
@@ -865,9 +926,9 @@ class SubgraphTransformer(_TasksLifecycleBase):
async def _acomplete_open_handles(self) -> BaseException | None:
first_error: BaseException | None = None
for ns in list(self._open):
for ns, parent_task_id in list(self._open.items()):
try:
await self._aon_terminal(ns, "completed", None)
await self._aon_terminal(ns, "completed", None, parent_task_id)
except BaseException as e:
if first_error is None:
first_error = e
+1 -11
View File
@@ -32,7 +32,7 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10, LangGraphDeprecatedS
# Local TypeVars for generic stream TypedDicts.
# We use separate TypeVars here (rather than importing from langgraph.typing)
# because the typing module TypeVars have defaults that cause type checker issues
# because the typing module TypeVars have defaults that cause mypy issues
# when used in standalone type aliases.
StateT = TypeVar("StateT")
OutputT = TypeVar("OutputT")
@@ -150,16 +150,6 @@ class TaskPayload(TypedDict):
"""Input data passed to the task."""
triggers: list[str]
"""List of triggers that caused this task to be executed (e.g. channel writes)."""
metadata: NotRequired[dict[str, Any]]
"""Framework-resolved metadata associated with the task.
Generic dict carrier following the messages-stream pattern. Populated by
`map_debug_tasks` from `task.config["metadata"]` when non-empty, so the
same keys `stream_mode="messages"` consumers see (e.g. `lc_agent_name`,
`langgraph_node`, `langgraph_step`) are available to stream transformers.
Consumers should ignore unrecognized keys.
"""
class TaskResultPayload(TypedDict):
+15 -24
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.5"
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>=1.4.7,<2",
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langgraph-sdk>=0.4.2,<0.5.0",
"langgraph-prebuilt>=1.1.0,<1.2.0",
"langchain-core>=1.4.0a2,<2",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"langgraph-sdk>=0.3.0,<0.4.0",
"langgraph-prebuilt>=1.1.0a2,<1.2.0",
"xxhash>=3.5.0",
"pydantic>=2.7.4",
]
@@ -69,8 +69,8 @@ test = [
"redis",
]
lint = [
"mypy",
"ruff",
"ty",
"types-requests",
]
dev = [
@@ -99,24 +99,15 @@ target-version = "py310"
[tool.ruff.lint.flake8-tidy-imports.banned-api]
"typing.TypedDict".msg = "Use typing_extensions.TypedDict instead."
[tool.ty.rules]
call-non-callable = "ignore"
deprecated = "ignore"
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-key = "ignore"
invalid-method-override = "ignore"
invalid-paramspec = "ignore"
invalid-return-type = "ignore"
invalid-type-form = "ignore"
invalid-yield = "ignore"
missing-typed-dict-key = "ignore"
no-matching-overload = "ignore"
not-iterable = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unsupported-base = "ignore"
unsupported-operator = "ignore"
[tool.mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html
disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value, override, has-type"
[tool.coverage.run]
omit = ["tests/*"]
+1 -98
View File
@@ -1,8 +1,7 @@
import pytest
from langchain_core.callbacks import AsyncCallbackManager, BaseCallbackHandler
from langchain_core.callbacks import AsyncCallbackManager
from langgraph._internal._config import get_async_callback_manager_for_config
from langgraph.graph import StateGraph
pytestmark = pytest.mark.anyio
@@ -18,99 +17,3 @@ def test_new_async_manager_merges_tags_with_config() -> None:
config = {"callbacks": None, "tags": ["a"]}
manager = get_async_callback_manager_for_config(config, tags=["b"])
assert manager.inheritable_tags == ["a", "b"]
class _TrackingCallback(BaseCallbackHandler):
def __init__(self) -> None:
self.called = False
def on_chain_start(self, *args, **kwargs) -> None: # noqa: ANN002, ANN003
self.called = True
async def test_with_config_callbacks_preserved_in_astream_events() -> None:
"""A callback bound via .with_config(...) must survive when
astream_events injects its own internal callback handler.
Pre-fix: ensure_config overwrites the callbacks key, dropping the
bound handler. Post-fix: the handler list is merged.
"""
builder = StateGraph(dict)
builder.add_node("node", lambda state: state)
builder.add_edge("__start__", "node")
cb = _TrackingCallback()
graph = builder.compile().with_config({"callbacks": [cb]})
async for _ in graph.astream_events({}, version="v2"):
pass
assert cb.called, "user-bound callback was dropped by ensure_config overwrite"
async def test_with_config_configurable_preserved_on_invoke() -> None:
"""A configurable key bound via .with_config(...) must survive when
invoke-time config supplies a different configurable key.
Pre-fix: ensure_config overwrites the entire configurable dict.
Post-fix: the two dicts are shallow-merged per key.
"""
builder = StateGraph(dict)
captured: dict = {}
def node(state, config): # noqa: ANN001
captured.update(config.get("configurable") or {})
return state
builder.add_node("node", node)
builder.add_edge("__start__", "node")
graph = builder.compile().with_config({"configurable": {"ls_agent_type": "root"}})
await graph.ainvoke({}, {"configurable": {"thread_id": "T1"}})
assert captured.get("ls_agent_type") == "root", (
"bound configurable key was dropped by ensure_config overwrite"
)
assert captured.get("thread_id") == "T1", "invoke-time key not present"
async def test_with_config_metadata_preserved_on_invoke() -> None:
"""A metadata key bound via .with_config(...) must survive when
invoke-time config supplies a different metadata key.
Pre-fix: ensure_config overwrites the entire metadata dict.
Post-fix: the two dicts are shallow-merged per key.
"""
builder = StateGraph(dict)
captured: dict = {}
def node(state, config): # noqa: ANN001
captured.update(config.get("metadata") or {})
return state
builder.add_node("node", node)
builder.add_edge("__start__", "node")
graph = builder.compile().with_config({"metadata": {"user_id": "U1"}})
await graph.ainvoke({}, {"metadata": {"correlation_id": "C1"}})
assert captured.get("user_id") == "U1", (
"bound metadata key was dropped by ensure_config overwrite"
)
assert captured.get("correlation_id") == "C1", "invoke-time key not present"
async def test_with_config_tags_preserved_on_invoke() -> None:
"""Tags bound via .with_config(...) must survive when invoke-time
config supplies its own tags.
Pre-fix: ensure_config overwrites the entire tags list.
Post-fix: tags are concatenated (matching merge_configs behavior;
no deduplication, no sorting).
"""
builder = StateGraph(dict)
captured: list = []
def node(state, config): # noqa: ANN001
captured.extend(config.get("tags") or [])
return state
builder.add_node("node", node)
builder.add_edge("__start__", "node")
graph = builder.compile().with_config({"tags": ["bound"]})
await graph.ainvoke({}, {"tags": ["invoke"]})
assert "bound" in captured, "bound tag was dropped by ensure_config overwrite"
assert "invoke" in captured, "invoke-time tag not present"
@@ -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"]
@@ -1,294 +0,0 @@
"""Tests for `update_state` / `aupdate_state` against `DeltaChannel`.
Originally a regression suite for deepagents#3774 — `update_state` on a *fresh*
thread silently dropped the first write to a `DeltaChannel`-backed channel
because channel writes were only persisted when a previous checkpoint existed.
Fixed by lazily persisting an empty stub checkpoint on a fresh thread so the
first write has a parent to anchor under (mirrors the exit-mode lazy-stub
pattern in `_loop._put_exit_delta_writes`).
Coverage:
* fresh-thread regression: single `update_state` writes a message and reads back
* non-fresh thread: `update_state` after `invoke`, after another `update_state`,
and `bulk_update_state` with multiple per-superstep updates
* update-by-id end-to-end via `update_state` (DeltaChannel reducer semantics)
* state-history chain shape on a fresh thread (lazy stub + update checkpoint
with correct parent linking)
"""
from typing import Annotated, Any
import pytest
from langchain_core.messages import HumanMessage
from langgraph.checkpoint.memory import InMemorySaver
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
pytestmark = pytest.mark.anyio
def _build_graph(checkpointer: InMemorySaver, *, two_nodes: bool = False) -> Any:
"""Compile a minimal DeltaChannel-backed `messages` graph.
`two_nodes=True` adds a second writer node so `bulk_update_state` can route
distinct updates to different `as_node` values within a single superstep.
"""
channel = DeltaChannel(_messages_delta_reducer)
State = TypedDict("State", {"messages": Annotated[list, channel]}) # type: ignore[call-overload] # noqa: UP013
def model(state: dict) -> dict:
return {}
def assistant(state: dict) -> dict:
return {}
builder = StateGraph(State)
builder.add_node("model", model)
builder.add_edge(START, "model")
if two_nodes:
builder.add_node("assistant", assistant)
builder.add_edge("model", "assistant")
builder.set_finish_point("assistant")
else:
builder.set_finish_point("model")
return builder.compile(checkpointer=checkpointer)
# ---------------------------------------------------------------------------
# Fresh-thread regression (deepagents#3774)
# ---------------------------------------------------------------------------
def test_update_state_fresh_thread_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "fresh-sync"}}
message = HumanMessage(content="hello", id="m1")
graph.update_state(config, {"messages": [message]}, as_node="model")
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["hello"]
async def test_aupdate_state_fresh_thread_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "fresh-async"}}
message = HumanMessage(content="hello", id="m1")
await graph.aupdate_state(config, {"messages": [message]}, as_node="model")
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["hello"]
# ---------------------------------------------------------------------------
# Non-fresh thread: update_state after invoke
# ---------------------------------------------------------------------------
def test_update_state_after_invoke_delta_channel() -> None:
"""The non-fresh-thread path was already working before the fix; pin it
down so the lazy-stub change for fresh threads doesn't regress it."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "after-invoke-sync"}}
graph.invoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
graph.update_state(
config,
{"messages": [HumanMessage(content="appended", id="m2")]},
as_node="model",
)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
async def test_aupdate_state_after_invoke_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "after-invoke-async"}}
await graph.ainvoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="appended", id="m2")]},
as_node="model",
)
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
# ---------------------------------------------------------------------------
# Non-fresh thread: consecutive update_state calls
# ---------------------------------------------------------------------------
def test_consecutive_update_states_delta_channel() -> None:
"""First update_state lazily persists a stub; the second sees a real
parent (`saved is not None`) and takes the original write path. Both
messages must round-trip in chronological order."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "consecutive-sync"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
)
graph.update_state(
config,
{"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["first", "second"]
assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
async def test_aconsecutive_update_states_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "consecutive-async"}}
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
)
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
)
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["first", "second"]
# ---------------------------------------------------------------------------
# Update-by-id semantics through the update_state path
# ---------------------------------------------------------------------------
def test_update_state_replaces_message_by_id_delta_channel() -> None:
"""`_messages_delta_reducer` dedups by `id` — re-issuing a write with the
same id replaces the existing entry rather than appending. Verify this
works through the `update_state` path (not just `invoke`)."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "update-by-id"}}
graph.invoke({"messages": [HumanMessage(content="original", id="h1")]}, config)
graph.update_state(
config,
{"messages": [HumanMessage(content="updated", id="h1")]},
as_node="model",
)
state = graph.get_state(config)
msgs = state.values["messages"]
assert len(msgs) == 1
assert msgs[0].id == "h1"
assert msgs[0].content == "updated"
# ---------------------------------------------------------------------------
# bulk_update_state with multiple updates per superstep
# ---------------------------------------------------------------------------
def test_bulk_update_state_multi_task_per_superstep_delta_channel() -> None:
"""`bulk_update_state` with N updates in one superstep produces N tasks
that each call `put_writes`. Guards the regression where moving
`put_writes` outside the per-task loop would persist only the last
task's writes.
Explicit `task_id`s are required to disambiguate writes belonging to
different `StateUpdate`s targeting the same node otherwise both share
the deterministic interrupt-derived id and collide in the saver.
"""
from langgraph.types import StateUpdate
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "bulk-multi-task"}}
graph.bulk_update_state(
config,
[
[
StateUpdate(
values={"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
task_id="task-1",
),
StateUpdate(
values={"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
task_id="task-2",
),
]
],
)
state = graph.get_state(config)
contents = [m.content for m in state.values["messages"]]
ids = [m.id for m in state.values["messages"]]
assert sorted(contents) == ["first", "second"], (
f"both updates' writes must persist; got {contents}"
)
assert sorted(ids) == ["m1", "m2"]
# ---------------------------------------------------------------------------
# Public-API observation of the lazy-stub mechanism
# ---------------------------------------------------------------------------
def test_state_history_chain_after_fresh_update_state_delta_channel() -> None:
"""A fresh-thread `update_state` should produce two checkpoints visible
via `get_state_history`: a stub (step=-1, no parent) and the update
(step=0, parent=stub). Both attributed `source='update'`."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "history-chain"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="hello", id="m1")]},
as_node="model",
)
# Newest first per `get_state_history` ordering.
history = list(graph.get_state_history(config))
assert len(history) == 2
update_snapshot, stub_snapshot = history
assert update_snapshot.metadata is not None
assert update_snapshot.metadata["source"] == "update"
assert update_snapshot.metadata["step"] == 0
assert [m.content for m in update_snapshot.values["messages"]] == ["hello"]
assert stub_snapshot.metadata is not None
assert stub_snapshot.metadata["source"] == "update"
assert stub_snapshot.metadata["step"] == -1
assert stub_snapshot.parent_config is None
# The update checkpoint's parent is the stub.
assert update_snapshot.parent_config is not None
assert (
update_snapshot.parent_config["configurable"]["checkpoint_id"]
== stub_snapshot.config["configurable"]["checkpoint_id"]
)
-7
View File
@@ -9,7 +9,6 @@ import pytest
from langchain_core.messages import AIMessage, AnyMessage, ToolCall
from langchain_core.runnables import RunnableConfig, RunnableMap, RunnablePick
from langchain_core.tools import tool
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.prebuilt.chat_agent_executor import create_react_agent
@@ -1400,7 +1399,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
(
@@ -1463,7 +1461,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -1516,7 +1513,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -6888,7 +6884,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -6916,7 +6911,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -6953,7 +6947,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -11,7 +11,6 @@ from typing import (
import pytest
from langchain_core.messages import AnyMessage, ToolCall
from langchain_core.runnables import RunnableConfig, RunnablePick
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.prebuilt.chat_agent_executor import create_react_agent
from langgraph.prebuilt.tool_node import ToolNode
@@ -1151,7 +1150,6 @@ async def test_prebuilt_tool_chat() -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
(
@@ -1214,7 +1212,6 @@ async def test_prebuilt_tool_chat() -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -1267,7 +1264,6 @@ async def test_prebuilt_tool_chat() -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -3985,7 +3981,6 @@ async def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -4013,7 +4008,6 @@ async def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -4050,7 +4044,6 @@ async def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
-2
View File
@@ -23,7 +23,6 @@ from langchain_core.runnables import (
RunnablePassthrough,
)
from langchain_core.runnables.graph import Edge
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.cache.base import BaseCache
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
@@ -6924,7 +6923,6 @@ def test_tags_stream_mode_messages() -> None:
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
"tags": ["meow"],
},
)
+272 -111
View File
@@ -24,7 +24,6 @@ from langchain_core.language_models import GenericFakeChatModel
from langchain_core.messages import HumanMessage
from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
from langchain_core.utils.aiter import aclosing
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.cache.base import BaseCache
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
@@ -7605,7 +7604,6 @@ async def test_tags_stream_mode_messages() -> None:
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
"tags": ["meow"],
},
)
@@ -8763,117 +8761,280 @@ async def test_imp_exception(
{"my_workflow": "done"},
]
events = [c async for c in my_workflow.astream_events(1, thread1)]
assert [(event["event"], event["name"]) for event in events] == [
("on_chain_start", "LangGraph"),
("on_chain_start", "my_workflow"),
("on_chain_start", "my_task"),
("on_chain_stream", "my_task"),
("on_chain_end", "my_task"),
("on_chain_stream", "LangGraph"),
("on_chain_start", "task_with_exception"),
("on_chain_start", "my_task"),
("on_chain_stream", "my_task"),
("on_chain_end", "my_task"),
("on_chain_stream", "my_workflow"),
("on_chain_stream", "LangGraph"),
("on_chain_end", "my_workflow"),
("on_chain_stream", "LangGraph"),
("on_chain_end", "LangGraph"),
assert [c async for c in my_workflow.astream_events(1, thread1)] == [
{
"event": "on_chain_start",
"data": {"input": 1},
"name": "LangGraph",
"tags": [],
"run_id": AnyStr(),
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"parent_ids": [],
},
{
"event": "on_chain_start",
"data": {"input": 1},
"name": "my_workflow",
"tags": ["graph:step:4"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_workflow",
"langgraph_triggers": ("__start__",),
"langgraph_path": ("__pregel_pull", "my_workflow"),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [AnyStr()],
},
{
"event": "on_chain_start",
"data": {"input": {"number": 1}},
"name": "my_task",
"tags": ["seq:step:1"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"data": {"chunk": 2},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_end",
"data": {"output": 2, "input": {"number": 1}},
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"data": {"chunk": {"my_task": 2}},
"parent_ids": [],
},
{
"event": "on_chain_start",
"data": {"input": {"number": 1}},
"name": "task_with_exception",
"tags": ["seq:step:1"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_start",
"data": {"input": {"number": 1}},
"name": "my_task",
"tags": ["seq:step:1"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"data": {"chunk": 2},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_end",
"data": {"output": 2, "input": {"number": 1}},
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "my_workflow",
"tags": ["graph:step:4"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_workflow",
"langgraph_triggers": ("__start__",),
"langgraph_path": ("__pregel_pull", "my_workflow"),
"langgraph_checkpoint_ns": AnyStr(),
},
"data": {"chunk": "done"},
"parent_ids": [AnyStr()],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"data": {"chunk": {"my_task": 2}},
"parent_ids": [],
},
{
"event": "on_chain_end",
"data": {"output": "done", "input": 1},
"run_id": AnyStr(),
"name": "my_workflow",
"tags": ["graph:step:4"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_workflow",
"langgraph_triggers": ("__start__",),
"langgraph_path": ("__pregel_pull", "my_workflow"),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [AnyStr()],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"data": {"chunk": {"my_workflow": "done"}},
"parent_ids": [],
},
{
"event": "on_chain_end",
"data": {"output": "done"},
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"parent_ids": [],
},
]
root_events = [event for event in events if event["name"] == "LangGraph"]
for event in root_events:
assert event["tags"] == []
assert event["metadata"]["thread_id"] == "1"
assert event["metadata"]["ls_integration"] == "langgraph"
assert event["parent_ids"] == []
workflow_events = [event for event in events if event["name"] == "my_workflow"]
for event in workflow_events:
assert event["tags"] == ["graph:step:4"]
metadata = event["metadata"]
assert metadata["thread_id"] == "1"
assert metadata["ls_integration"] == "langgraph"
assert metadata["langgraph_step"] == 4
assert metadata["langgraph_node"] == "my_workflow"
assert metadata["langgraph_triggers"] == ("__start__",)
assert metadata["langgraph_path"] == ("__pregel_pull", "my_workflow")
assert isinstance(metadata["langgraph_checkpoint_ns"], str)
assert len(event["parent_ids"]) == 1
task_events = [event for event in events if event["name"] == "my_task"]
assert len(task_events) == 6
for event in task_events:
assert event["tags"] == ["seq:step:1"]
metadata = event["metadata"]
assert metadata["thread_id"] == "1"
assert metadata["ls_integration"] == "langgraph"
assert metadata["langgraph_step"] == 4
assert metadata["langgraph_node"] == "my_task"
assert metadata["langgraph_triggers"] == ("__pregel_push",)
assert metadata["langgraph_path"][:2] == (
"__pregel_push",
("__pregel_pull", "my_workflow"),
)
assert metadata["langgraph_path"][-1] is True
assert isinstance(metadata["langgraph_checkpoint_ns"], str)
assert len(event["parent_ids"]) == 2
task_with_exception_event = next(
event for event in events if event["name"] == "task_with_exception"
)
assert task_with_exception_event["event"] == "on_chain_start"
assert task_with_exception_event["data"] == {"input": {"number": 1}}
assert task_with_exception_event["tags"] == ["seq:step:1"]
metadata = task_with_exception_event["metadata"]
assert metadata["thread_id"] == "1"
assert metadata["ls_integration"] == "langgraph"
assert metadata["langgraph_step"] == 4
assert metadata["langgraph_node"] == "task_with_exception"
assert metadata["langgraph_triggers"] == ("__pregel_push",)
assert metadata["langgraph_path"][:2] == (
"__pregel_push",
("__pregel_pull", "my_workflow"),
)
assert metadata["langgraph_path"][-1] is True
assert isinstance(metadata["langgraph_checkpoint_ns"], str)
assert len(task_with_exception_event["parent_ids"]) == 2
assert [
event["data"]
for event in events
if event["event"] == "on_chain_stream" and event["name"] == "LangGraph"
] == [
{"chunk": {"my_task": 2}},
{"chunk": {"my_task": 2}},
{"chunk": {"my_workflow": "done"}},
]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_stream" and event["name"] == "my_task"
] == [{"chunk": 2}, {"chunk": 2}]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_end" and event["name"] == "my_task"
] == [
{"output": 2, "input": {"number": 1}},
{"output": 2, "input": {"number": 1}},
]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_stream" and event["name"] == "my_workflow"
] == [{"chunk": "done"}]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_end" and event["name"] == "my_workflow"
] == [{"output": "done", "input": 1}]
assert events[-1]["data"] == {"output": "done"}
@pytest.mark.parametrize("with_timeout", [False, "inner", "outer", "both"])
@pytest.mark.parametrize("subgraph_persist", [True, False])
-185
View File
@@ -1,185 +0,0 @@
"""Tests for langgraph.pregel.debug helpers."""
from __future__ import annotations
from langgraph.pregel.debug import map_debug_tasks
class _FakeTask:
"""Minimal stand-in for PregelExecutableTask covering only what map_debug_tasks reads."""
def __init__(
self,
*,
id: str,
name: str,
input: object,
triggers: list[str],
config: dict | None,
) -> None:
self.id = id
self.name = name
self.input = input
self.triggers = triggers
self.config = config
def test_map_debug_tasks_forwards_metadata_when_present() -> None:
task = _FakeTask(
id="t1",
name="tools",
input=[],
triggers=["x"],
config={"metadata": {"lc_agent_name": "weather_agent"}},
)
payloads = list(map_debug_tasks([task]))
assert len(payloads) == 1
payload = payloads[0]
assert payload["id"] == "t1"
assert payload["name"] == "tools"
assert payload["metadata"] == {"lc_agent_name": "weather_agent"}
def test_map_debug_tasks_omits_metadata_when_empty() -> None:
# Empty metadata dict in config: don't include metadata in the payload.
task = _FakeTask(
id="t1",
name="tools",
input=[],
triggers=["x"],
config={"metadata": {}},
)
payloads = list(map_debug_tasks([task]))
assert "metadata" not in payloads[0]
def test_map_debug_tasks_omits_metadata_when_absent() -> None:
# No metadata key in config: don't include metadata in the payload.
task = _FakeTask(
id="t1",
name="tools",
input=[],
triggers=["x"],
config={},
)
payloads = list(map_debug_tasks([task]))
assert "metadata" not in payloads[0]
def test_map_debug_tasks_handles_none_config() -> None:
# task.config can be None; should not crash.
task = _FakeTask(
id="t1",
name="tools",
input=[],
triggers=["x"],
config=None,
)
payloads = list(map_debug_tasks([task]))
assert len(payloads) == 1
assert "metadata" not in payloads[0]
def test_map_debug_tasks_filters_framework_metadata_keys() -> None:
"""Internal framework keys are dropped from the forwarded metadata; only
user-meaningful keys (lc_agent_name, ls_integration, user metadata) ride
along. The framework keys (langgraph_*, thread_id, checkpoint_*) are
redundant with the task's own fields/namespace.
"""
md = {
"lc_agent_name": "weather_agent",
"ls_integration": "langchain_create_agent",
"my_user_key": "x",
"thread_id": "thread-1",
"langgraph_step": 1,
"langgraph_node": "tools",
"langgraph_path": ("__pregel_pull", "tools"),
"langgraph_checkpoint_ns": "tools:abc",
"checkpoint_ns": "",
}
task = _FakeTask(
id="t1", name="tools", input=[], triggers=["x"], config={"metadata": md}
)
payload = next(iter(map_debug_tasks([task])))
assert payload["metadata"] == {
"lc_agent_name": "weather_agent",
"ls_integration": "langchain_create_agent",
"my_user_key": "x",
}
def test_map_debug_tasks_omits_metadata_when_only_framework_keys() -> None:
"""A task whose metadata is entirely framework keys (e.g. a plain
StateGraph node) yields no `metadata` key after filtering.
"""
md = {
"thread_id": "thread-1",
"langgraph_step": 1,
"langgraph_node": "worker",
"langgraph_checkpoint_ns": "worker:abc",
"checkpoint_ns": "",
}
task = _FakeTask(
id="t1", name="worker", input=[], triggers=["x"], config={"metadata": md}
)
payload = next(iter(map_debug_tasks([task])))
assert "metadata" not in payload
def test_map_debug_tasks_metadata_is_copied_not_referenced() -> None:
"""Mutating the source config after emission must not affect the
payload TaskPayload.metadata is a defensive copy.
"""
md = {"lc_agent_name": "a"}
task = _FakeTask(
id="t1", name="tools", input=[], triggers=["x"], config={"metadata": md}
)
payload = next(iter(map_debug_tasks([task])))
md["lc_agent_name"] = "MUTATED"
assert payload["metadata"]["lc_agent_name"] == "a"
def test_map_debug_tasks_folds_filtered_tags_into_metadata() -> None:
"""Config tags are folded into TaskPayload.metadata under `tags`, with
langchain's internal `seq:step:*` tags filtered out — mirroring the
messages stream handler so both channels surface the same tag set."""
task = _FakeTask(
id="t1",
name="tools",
input=[],
triggers=["x"],
config={
"metadata": {"lc_agent_name": "weather_agent"},
"tags": ["seq:step:1", "user-tag", "session-123"],
},
)
payload = next(iter(map_debug_tasks([task])))
assert payload["metadata"]["lc_agent_name"] == "weather_agent"
assert payload["metadata"]["tags"] == ["user-tag", "session-123"]
def test_map_debug_tasks_omits_tags_when_only_seq_step() -> None:
"""If the only tags are internal `seq:step:*` markers, no `tags` key is
added (matches the messages handler's `if filtered_tags:` guard)."""
task = _FakeTask(
id="t1",
name="tools",
input=[],
triggers=["x"],
config={"metadata": {"lc_agent_name": "a"}, "tags": ["seq:step:1"]},
)
payload = next(iter(map_debug_tasks([task])))
assert "tags" not in payload["metadata"]
def test_map_debug_tasks_adds_tags_even_without_other_metadata() -> None:
"""Filtered tags surface even when config has no metadata dict."""
task = _FakeTask(
id="t1",
name="tools",
input=[],
triggers=["x"],
config={"tags": ["user-tag"]},
)
payload = next(iter(map_debug_tasks([task])))
assert payload["metadata"] == {"tags": ["user-tag"]}
@@ -1,658 +0,0 @@
from __future__ import annotations
from unittest.mock import AsyncMock, MagicMock
import pytest
from langgraph.pregel._remote_run_stream import (
_AsyncRemoteGraphRunStream,
_ChannelProjection,
_ProjectionRegistry,
_RemoteGraphRunStream,
_translate_command_input,
)
from langgraph.pregel.remote import (
_V3_SUPPORTED_KWARGS,
RemoteGraph,
)
from langgraph.types import Command
def _make_sync_adapter(*, run_start_returns=None, run_start_raises=None):
sync_client = MagicMock()
sdk_thread = MagicMock()
sdk_thread.thread_id = "thread-abc"
sdk_thread.__enter__ = MagicMock(return_value=sdk_thread)
sdk_thread.__exit__ = MagicMock(return_value=None)
sdk_thread.run = MagicMock()
if run_start_raises is not None:
sdk_thread.run.start = MagicMock(side_effect=run_start_raises)
else:
sdk_thread.run.start = MagicMock(
return_value=run_start_returns or {"run_id": "run-xyz"}
)
adapter = _RemoteGraphRunStream(
sync_client=sync_client,
sdk_thread=sdk_thread,
input={"x": 1},
config={"configurable": {}},
metadata=None,
)
return adapter, sync_client, sdk_thread
def test_enter_calls_sdk_enter_then_run_start_and_captures_run_id():
adapter, _, sdk_thread = _make_sync_adapter()
with adapter as stream:
assert stream is adapter
sdk_thread.__enter__.assert_called_once()
sdk_thread.run.start.assert_called_once_with(
input={"x": 1}, config={"configurable": {}}, metadata=None
)
assert adapter._run_id == "run-xyz"
def test_exit_delegates_to_sdk_exit_with_exc_info():
adapter, _, sdk_thread = _make_sync_adapter()
with adapter:
pass
sdk_thread.__exit__.assert_called_once_with(None, None, None)
def test_enter_unwinds_sdk_cm_when_run_start_raises():
adapter, _, sdk_thread = _make_sync_adapter(
run_start_raises=RuntimeError("start boom")
)
with pytest.raises(RuntimeError, match="start boom"):
with adapter:
pytest.fail("body should not run")
sdk_thread.__enter__.assert_called_once()
sdk_thread.__exit__.assert_called_once()
exc_info = sdk_thread.__exit__.call_args.args
assert exc_info[0] is RuntimeError
assert isinstance(exc_info[1], RuntimeError)
assert adapter._run_id is None
def test_output_interrupted_interrupts_passthrough():
adapter, _, sdk_thread = _make_sync_adapter()
sdk_thread.output = {"foo": 1}
sdk_thread.interrupted = True
sdk_thread.interrupts = [{"interrupt_id": "i1", "namespace": [], "value": "v"}]
with adapter as stream:
assert stream.output == {"foo": 1}
assert stream.interrupted is True
assert stream.interrupts == [
{"interrupt_id": "i1", "namespace": [], "value": "v"}
]
def test_sync_projection_attrs_forward_to_sdk():
adapter, _, sdk_thread = _make_sync_adapter()
sdk_thread.values = object()
sdk_thread.messages = object()
sdk_thread.tool_calls = object()
sdk_thread.subgraphs = object()
with adapter as stream:
assert stream.values is sdk_thread.values
assert stream.messages is sdk_thread.messages
assert stream.tool_calls is sdk_thread.tool_calls
assert stream.subgraphs is sdk_thread.subgraphs
assert set(stream.extensions) == set(_ProjectionRegistry._NATIVE)
assert stream.extensions["values"] is sdk_thread.values
def test_projection_registry_typed_decoded_and_custom():
sdk = MagicMock()
sdk.values = object()
sdk.messages = object()
sdk.tool_calls = object()
sdk.subgraphs = object()
custom_named = object()
sdk.extensions = {"my_custom": custom_named}
registry = _ProjectionRegistry(sdk)
# Typed channels resolve to the SDK's decoded projections.
assert registry["values"] is sdk.values
assert registry["tool_calls"] is sdk.tool_calls
assert registry["subgraphs"] is sdk.subgraphs
# Channels without a typed projection resolve to a decoding _ChannelProjection.
ckpt = registry["checkpoints"]
assert isinstance(ckpt, _ChannelProjection)
assert ckpt._channel == "checkpoints"
assert isinstance(registry["updates"], _ChannelProjection)
# A non-protocol name is a specific custom-extension channel.
assert registry["my_custom"] is custom_named
# Enumerable set is the typed + decoded channels (no `lifecycle`, no `debug`).
assert list(registry) == [
"values",
"messages",
"tool_calls",
"subgraphs",
"updates",
"checkpoints",
"tasks",
"custom",
]
assert len(registry) == 8
def test_channel_projection_decodes_params_data():
sdk = MagicMock()
# Real wire events carry `method`; the SDK `DataDecoder` yields matching
# events' `params.data` and skips dataless and off-channel ones.
sdk.subscribe = MagicMock(
return_value=iter(
[
{"method": "checkpoints", "params": {"data": {"n": 1}}},
{"method": "checkpoints", "params": {}}, # no data -> skipped
{"method": "checkpoints", "params": {"data": {"n": 2}}},
{"method": "lifecycle", "params": {"data": {"n": 3}}}, # other channel
]
)
)
proj = _ChannelProjection(sdk, "checkpoints")
assert list(proj) == [{"n": 1}, {"n": 2}]
sdk.subscribe.assert_called_once_with(["checkpoints"])
@pytest.mark.anyio
async def test_channel_projection_decodes_params_data_async():
"""Async lane mirrors the sync lane: `async for` over the SDK's async
subscription, decoded through the same `DataDecoder`."""
class _FakeAsyncEvents:
def __init__(self, items):
self._items = list(items)
def __aiter__(self):
return self
async def __anext__(self):
if not self._items:
raise StopAsyncIteration
return self._items.pop(0)
sdk = MagicMock()
sdk.subscribe = MagicMock(
return_value=_FakeAsyncEvents(
[
{"method": "checkpoints", "params": {"data": {"n": 1}}},
{"method": "checkpoints", "params": {}}, # no data -> skipped
{"method": "checkpoints", "params": {"data": {"n": 2}}},
{"method": "lifecycle", "params": {"data": {"n": 3}}}, # other channel
]
)
)
proj = _ChannelProjection(sdk, "checkpoints")
assert [item async for item in proj] == [{"n": 1}, {"n": 2}]
sdk.subscribe.assert_called_once_with(["checkpoints"])
def test_sync_adapter_translates_command_input():
sync_client = MagicMock()
sdk_thread = MagicMock()
adapter = _RemoteGraphRunStream(
sync_client=sync_client,
sdk_thread=sdk_thread,
input=Command(resume="go"),
config=None,
metadata=None,
)
assert adapter._start_kwargs["input"] == "go"
def test_iter_caches_first_subscription():
adapter, _, sdk_thread = _make_sync_adapter()
fake_events = [object(), object(), object()]
sdk_thread.events = iter(fake_events)
with adapter as stream:
first = iter(stream)
second = iter(stream)
assert first is second
assert list(first) == fake_events
def test_abort_cancels_run_and_closes_sdk():
adapter, sync_client, sdk_thread = _make_sync_adapter()
with adapter as stream:
stream.abort()
sync_client.runs.cancel.assert_called_once_with(
"thread-abc", "run-xyz", wait=False
)
sdk_thread.close.assert_called_once()
def test_abort_before_enter_skips_cancel_but_closes_sdk():
adapter, sync_client, sdk_thread = _make_sync_adapter()
adapter.abort()
sync_client.runs.cancel.assert_not_called()
sdk_thread.close.assert_called_once()
def test_abort_is_idempotent():
adapter, sync_client, sdk_thread = _make_sync_adapter()
with adapter as stream:
stream.abort()
stream.abort()
assert sync_client.runs.cancel.call_count == 1
assert sdk_thread.close.call_count == 1
def test_abort_swallows_cancel_failure_and_still_closes():
adapter, sync_client, sdk_thread = _make_sync_adapter()
sync_client.runs.cancel.side_effect = RuntimeError("cancel boom")
with adapter as stream:
stream.abort()
sdk_thread.close.assert_called_once()
def test_sync_interleave_delegates_to_interleave_projections():
adapter, _, sdk_thread = _make_sync_adapter()
pairs = [("values", {"x": 1}), ("messages", object())]
sdk_thread.interleave_projections.return_value = pairs
with adapter as stream:
result = list(stream.interleave("values", "messages"))
assert result == pairs
sdk_thread.interleave_projections.assert_called_once_with(["values", "messages"])
def test_async_adapter_has_no_interleave():
"""Async adapter intentionally lacks `interleave` (mirrors local
`AsyncGraphRunStream`, which doesn't have one either). Async callers
compose with `asyncio.gather` / `asyncio.as_completed`.
"""
assert not hasattr(_AsyncRemoteGraphRunStream, "interleave")
def _make_async_adapter(*, run_start_returns=None, run_start_raises=None):
client = MagicMock()
client.runs.cancel = AsyncMock()
sdk_thread = MagicMock()
sdk_thread.thread_id = "thread-abc"
sdk_thread.__aenter__ = AsyncMock(return_value=sdk_thread)
sdk_thread.__aexit__ = AsyncMock(return_value=None)
sdk_thread.close = AsyncMock()
sdk_thread.run = MagicMock()
if run_start_raises is not None:
sdk_thread.run.start = AsyncMock(side_effect=run_start_raises)
else:
sdk_thread.run.start = AsyncMock(
return_value=run_start_returns or {"run_id": "run-xyz"}
)
adapter = _AsyncRemoteGraphRunStream(
client=client,
sdk_thread=sdk_thread,
input={"x": 1},
config={"configurable": {}},
metadata=None,
)
return adapter, client, sdk_thread
@pytest.mark.anyio
async def test_aenter_calls_sdk_aenter_then_run_start_and_captures_run_id():
adapter, _, sdk_thread = _make_async_adapter()
async with adapter as stream:
assert stream is adapter
sdk_thread.__aenter__.assert_awaited_once()
sdk_thread.run.start.assert_awaited_once_with(
input={"x": 1}, config={"configurable": {}}, metadata=None
)
assert adapter._run_id == "run-xyz"
@pytest.mark.anyio
async def test_aexit_delegates_to_sdk_aexit():
adapter, _, sdk_thread = _make_async_adapter()
async with adapter:
pass
sdk_thread.__aexit__.assert_awaited_once_with(None, None, None)
@pytest.mark.anyio
async def test_aenter_unwinds_sdk_cm_when_run_start_raises():
adapter, _, sdk_thread = _make_async_adapter(
run_start_raises=RuntimeError("start boom")
)
with pytest.raises(RuntimeError, match="start boom"):
async with adapter:
pytest.fail("body should not run")
sdk_thread.__aenter__.assert_awaited_once()
sdk_thread.__aexit__.assert_awaited_once()
assert adapter._run_id is None
@pytest.mark.anyio
async def test_async_output_interrupted_interrupts_passthrough():
adapter, _, sdk_thread = _make_async_adapter()
async def _fake_output_awaitable():
return {"foo": 1}
sdk_thread.output = _fake_output_awaitable()
sdk_thread.interrupted = True
sdk_thread.interrupts = [{"interrupt_id": "i1", "namespace": [], "value": "v"}]
async with adapter as stream:
assert await stream.output() == {"foo": 1}
assert await stream.interrupted() is True
assert await stream.interrupts() == [
{"interrupt_id": "i1", "namespace": [], "value": "v"}
]
@pytest.mark.anyio
async def test_async_projection_attrs_forward_to_sdk():
adapter, _, sdk_thread = _make_async_adapter()
sdk_thread.values = object()
sdk_thread.messages = object()
sdk_thread.tool_calls = object()
sdk_thread.subgraphs = object()
async with adapter as stream:
assert stream.values is sdk_thread.values
assert stream.messages is sdk_thread.messages
assert stream.tool_calls is sdk_thread.tool_calls
assert stream.subgraphs is sdk_thread.subgraphs
assert set(stream.extensions) == set(_ProjectionRegistry._NATIVE)
assert stream.extensions["messages"] is sdk_thread.messages
@pytest.mark.anyio
async def test_aiter_caches_first_subscription():
adapter, _, sdk_thread = _make_async_adapter()
class _FakeAsyncEvents:
def __init__(self, items):
self._items = list(items)
def __aiter__(self):
return self
async def __anext__(self):
if not self._items:
raise StopAsyncIteration
return self._items.pop(0)
sdk_thread.events = _FakeAsyncEvents([object(), object()])
async with adapter as stream:
first = stream.__aiter__()
second = stream.__aiter__()
assert first is second
@pytest.mark.anyio
async def test_async_abort_cancels_run_and_closes_sdk():
adapter, client, sdk_thread = _make_async_adapter()
async with adapter as stream:
await stream.abort()
client.runs.cancel.assert_awaited_once_with("thread-abc", "run-xyz", wait=False)
sdk_thread.close.assert_awaited_once()
@pytest.mark.anyio
async def test_async_abort_before_aenter_skips_cancel():
adapter, client, sdk_thread = _make_async_adapter()
await adapter.abort()
client.runs.cancel.assert_not_awaited()
sdk_thread.close.assert_awaited_once()
@pytest.mark.anyio
async def test_async_abort_swallows_cancel_failure():
adapter, client, sdk_thread = _make_async_adapter()
client.runs.cancel.side_effect = RuntimeError("cancel boom")
async with adapter as stream:
await stream.abort()
sdk_thread.close.assert_awaited_once()
def _make_remote_graph() -> RemoteGraph:
sync_client = MagicMock()
async_client = MagicMock()
rg = RemoteGraph(
"agent",
client=async_client,
sync_client=sync_client,
)
return rg
def test_reject_v3_unsupported_passes_when_all_clear():
rg = _make_remote_graph()
rg._reject_v3_unsupported(
control=None,
transformers=None,
interrupt_before=None,
interrupt_after=None,
extra_kwargs={},
)
@pytest.mark.parametrize(
"kwarg_name,kwarg_value",
[
("control", object()),
("transformers", [object()]),
("interrupt_before", ["node_a"]),
("interrupt_after", ["node_b"]),
],
)
def test_reject_v3_unsupported_raises_per_kwarg(kwarg_name, kwarg_value):
rg = _make_remote_graph()
kwargs = dict(
control=None,
transformers=None,
interrupt_before=None,
interrupt_after=None,
extra_kwargs={},
)
kwargs[kwarg_name] = kwarg_value
with pytest.raises(NotImplementedError, match=f"`{kwarg_name}=`"):
rg._reject_v3_unsupported(**kwargs)
def test_reject_v3_unsupported_raises_on_unknown_extra_kwarg():
rg = _make_remote_graph()
with pytest.raises(NotImplementedError, match="context"):
rg._reject_v3_unsupported(
control=None,
transformers=None,
interrupt_before=None,
interrupt_after=None,
extra_kwargs={"context": {}},
)
def test_reject_v3_unsupported_allows_metadata_and_headers():
rg = _make_remote_graph()
rg._reject_v3_unsupported(
control=None,
transformers=None,
interrupt_before=None,
interrupt_after=None,
extra_kwargs={"metadata": {"a": 1}, "headers": {"X": "y"}},
)
def test_translate_command_input_surfaces_raw_resume_value():
# The v3 server wraps the resume `input` as {"resume": input} itself, so the
# wire `input` must be the raw resume value, not the serialized dataclass.
assert _translate_command_input(Command(resume="go")) == "go"
assert _translate_command_input(Command(resume={"id": "v"})) == {"id": "v"}
def test_translate_command_input_rejects_goto_and_update():
with pytest.raises(NotImplementedError, match="goto"):
_translate_command_input(Command(goto="node_b"))
with pytest.raises(NotImplementedError, match="update"):
_translate_command_input(Command(update={"a": 1}))
def test_translate_command_input_passes_through_non_command():
assert _translate_command_input({"a": 1}) == {"a": 1}
assert _translate_command_input(None) is None
def test_v3_supported_kwargs_known_set():
assert _V3_SUPPORTED_KWARGS == frozenset({"metadata", "headers"})
def test_stream_events_v3_constructs_sdk_thread_with_sanitized_args():
sync_client = MagicMock()
sdk_thread = MagicMock()
sync_client.threads.stream.return_value = sdk_thread
rg = RemoteGraph(
"agent",
client=MagicMock(),
sync_client=sync_client,
)
result = rg.stream_events(
{"input_key": 1},
config={"configurable": {"thread_id": "t1", "user": "u"}},
version="v3",
)
assert isinstance(result, _RemoteGraphRunStream)
sync_client.threads.stream.assert_called_once()
call = sync_client.threads.stream.call_args
assert call.kwargs["thread_id"] == "t1"
assert call.kwargs["assistant_id"] == "agent"
assert call.kwargs["headers"] is None
def test_stream_events_v3_passes_none_thread_id_when_absent():
sync_client = MagicMock()
sync_client.threads.stream.return_value = MagicMock()
rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
rg.stream_events({"x": 1}, version="v3")
call = sync_client.threads.stream.call_args
assert call.kwargs["thread_id"] is None
def test_stream_events_v3_rejects_unsupported_kwargs_before_sdk_call():
sync_client = MagicMock()
rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
with pytest.raises(NotImplementedError, match="control"):
rg.stream_events({"x": 1}, version="v3", control=object())
sync_client.threads.stream.assert_not_called()
def test_stream_events_v3_translates_command_input():
sync_client = MagicMock()
sync_client.threads.stream.return_value = MagicMock()
rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
# Resume Command surfaces its raw resume value as the wire `input`; the v3
# server wraps it as {"resume": input} once it detects the interrupt.
adapter = rg.stream_events(Command(resume="go"), version="v3")
assert adapter._start_kwargs["input"] == "go"
def test_stream_events_v3_rejects_goto_update_command():
rg = RemoteGraph("agent", client=MagicMock(), sync_client=MagicMock())
with pytest.raises(NotImplementedError, match="goto"):
rg.stream_events(Command(goto="node_b"), version="v3")
def test_stream_events_v3_strips_checkpoint_keys_from_configurable():
sync_client = MagicMock()
sync_client.threads.stream.return_value = MagicMock()
rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
adapter = rg.stream_events(
{"x": 1},
config={
"configurable": {
"thread_id": "t1",
"checkpoint_id": "c1",
"checkpoint_ns": "ns",
"user": "u",
}
},
version="v3",
)
sent_config = adapter._start_kwargs["config"]
assert "checkpoint_id" not in sent_config["configurable"]
assert "checkpoint_ns" not in sent_config["configurable"]
assert sent_config["configurable"]["user"] == "u"
def test_stream_events_v3_merges_tracing_headers_when_distributed_tracing(
monkeypatch,
):
from langgraph.pregel import remote as remote_mod
sync_client = MagicMock()
sync_client.threads.stream.return_value = MagicMock()
rg = RemoteGraph(
"agent",
client=MagicMock(),
sync_client=sync_client,
distributed_tracing=True,
)
captured = {}
def fake_merge(headers):
captured["arg"] = headers
return {"x-ls-trace": "1", **(headers or {})}
monkeypatch.setattr(remote_mod, "_merge_tracing_headers", fake_merge)
rg.stream_events({"x": 1}, version="v3", headers={"X-Custom": "y"})
assert captured["arg"] == {"X-Custom": "y"}
sent_headers = sync_client.threads.stream.call_args.kwargs["headers"]
assert sent_headers["x-ls-trace"] == "1"
assert sent_headers["X-Custom"] == "y"
def test_stream_events_v3_passes_headers_unchanged_without_tracing():
sync_client = MagicMock()
sync_client.threads.stream.return_value = MagicMock()
rg = RemoteGraph(
"agent",
client=MagicMock(),
sync_client=sync_client,
distributed_tracing=False,
)
rg.stream_events({"x": 1}, version="v3", headers={"X-Custom": "y"})
sent_headers = sync_client.threads.stream.call_args.kwargs["headers"]
assert sent_headers == {"X-Custom": "y"}
def test_stream_events_non_v3_delegates_to_super():
rg = RemoteGraph("agent", client=MagicMock(), sync_client=MagicMock())
sync_client_attr = rg.sync_client
try:
rg.stream_events({"x": 1}, version="v2")
except Exception:
pass
sync_client_attr.threads.stream.assert_not_called()
@pytest.mark.anyio
async def test_astream_events_v3_constructs_sdk_thread():
client = MagicMock()
sdk_thread = MagicMock()
client.threads.stream.return_value = sdk_thread
rg = RemoteGraph("agent", client=client, sync_client=MagicMock())
result = await rg.astream_events(
{"x": 1},
config={"configurable": {"thread_id": "t1"}},
version="v3",
)
assert isinstance(result, _AsyncRemoteGraphRunStream)
call = client.threads.stream.call_args
assert call.kwargs["thread_id"] == "t1"
assert call.kwargs["assistant_id"] == "agent"
@pytest.mark.anyio
async def test_astream_events_v3_rejects_unsupported_kwargs():
client = MagicMock()
rg = RemoteGraph("agent", client=client, sync_client=MagicMock())
with pytest.raises(NotImplementedError, match="transformers"):
await rg.astream_events({"x": 1}, version="v3", transformers=[object()])
client.threads.stream.assert_not_called()
@pytest.mark.anyio
async def test_astream_events_non_v3_raises_not_implemented():
rg = RemoteGraph("agent", client=MagicMock(), sync_client=MagicMock())
with pytest.raises(NotImplementedError, match="not implemented"):
await rg.astream_events({"x": 1}, version="v2")
+2 -663
View File
@@ -1,5 +1,4 @@
import asyncio
import contextlib
import operator
import sys
import threading
@@ -16,7 +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
@@ -36,13 +35,7 @@ from langgraph._internal._runnable import RunnableCallable
from langgraph._internal._timeout import coerce_timeout_policy
from langgraph.channels.ephemeral_value import EphemeralValue
from langgraph.channels.last_value import LastValue
from langgraph.errors import (
GraphInterrupt,
NodeCancelledError,
NodeError,
NodeTimeoutError,
ParentCommand,
)
from langgraph.errors import GraphInterrupt, NodeError, NodeTimeoutError, ParentCommand
from langgraph.func import entrypoint, task
from langgraph.graph import END, START, StateGraph, add_messages
from langgraph.pregel import NodeBuilder, Pregel
@@ -70,18 +63,6 @@ NEEDS_CONTEXTVARS = pytest.mark.skipif(
reason="Python 3.11+ is required for async contextvars support",
)
# `asyncio.Task.cancelling()` is Python 3.11+. The LSD-1507 fix in
# `langgraph/pregel/_retry.py` falls back to a no-op on 3.10 (preserves the
# existing CancelledError-as-silent-tear-down behaviour) because there is no
# reliable way to distinguish user-raised from framework-initiated
# cancellation without that API. Tests for the converted behaviour gate on
# the same Python version boundary.
NEEDS_TASK_CANCELLING = pytest.mark.skipif(
sys.version_info < (3, 11),
reason="LSD-1507 user-cancellation conversion requires Python 3.11+ "
"(asyncio.Task.cancelling)",
)
def test_should_retry_on_single_exception():
"""Test retry with a single exception type."""
@@ -2299,645 +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"]
@NEEDS_TASK_CANCELLING
@pytest.mark.anyio
async def test_arun_with_retry_user_raised_cancelled_becomes_node_cancelled():
class UserCancelsProc:
async def ainvoke(self, input, config):
raise asyncio.CancelledError("nope")
task = _make_task(UserCancelsProc(), name="user-cancel")
with pytest.raises(NodeCancelledError) as excinfo:
await arun_with_retry(task, retry_policy=None)
assert excinfo.value.node == "user-cancel"
# original CancelledError chained for debugging
assert isinstance(excinfo.value.__cause__, asyncio.CancelledError)
@NEEDS_TASK_CANCELLING
@pytest.mark.anyio
async def test_arun_with_retry_user_raised_cancelled_with_timeout_policy():
"""The timeout path runs the node in a child task; the conversion must
still trigger for user-raised ``CancelledError``."""
class UserCancelsProc:
async def ainvoke(self, input, config):
raise asyncio.CancelledError
task = _make_task(
UserCancelsProc(), timeout=_idle_timeout(1.0), name="user-cancel-timed"
)
with pytest.raises(NodeCancelledError) as excinfo:
await arun_with_retry(task, retry_policy=None)
assert excinfo.value.node == "user-cancel-timed"
def test_run_with_retry_sync_node_raising_cancelled_becomes_node_cancelled():
class SyncUserCancelsProc:
def invoke(self, input, config):
raise asyncio.CancelledError("sync nope")
task = _make_task(SyncUserCancelsProc(), timeout=None, name="sync-user-cancel")
with pytest.raises(NodeCancelledError) as excinfo:
run_with_retry(task, retry_policy=None)
assert excinfo.value.node == "sync-user-cancel"
assert isinstance(excinfo.value.__cause__, asyncio.CancelledError)
@NEEDS_TASK_CANCELLING
@pytest.mark.anyio
async def test_arun_with_retry_external_cancel_propagates_as_cancelled():
"""When the asyncio task running ``arun_with_retry`` is cancelled from the
outside, the cancellation must still propagate as
``asyncio.CancelledError``. Converting it to ``NodeCancelledError`` would
break the runner's ability to cancel sibling tasks during cleanup."""
started = asyncio.Event()
observed: list[BaseException] = []
class SlowProc:
async def ainvoke(self, input, config):
started.set()
await asyncio.sleep(10.0)
return "never"
task = _make_task(SlowProc(), timeout=None, name="external-cancel")
async def runner():
try:
await arun_with_retry(task, retry_policy=None)
except BaseException as exc:
observed.append(exc)
raise
bg = asyncio.create_task(runner())
await started.wait()
bg.cancel()
# We expect the cancellation to surface to us as well; swallow it here so
# the test runner's own task isn't poisoned by the cancel.
with contextlib.suppress(asyncio.CancelledError):
await bg
assert observed, "runner did not observe any exception"
# Framework cancellation must remain a CancelledError, not be rewritten as
# NodeCancelledError.
assert isinstance(observed[0], asyncio.CancelledError)
assert not isinstance(observed[0], NodeCancelledError)
@NEEDS_TASK_CANCELLING
@pytest.mark.anyio
async def test_pregel_user_raised_cancellederror_fails_run():
"""End-to-end: a two-branch graph where one branch raises
``asyncio.CancelledError`` must fail the run instead of returning
a partial-success state. This is the LSD-1507 customer scenario."""
class _S(TypedDict, total=False):
vals: Annotated[list[str], operator.add]
async def ok(state: _S) -> _S:
return {"vals": ["ok"]}
async def boom(state: _S) -> _S:
raise asyncio.CancelledError("user-raised in node body")
graph = (
StateGraph(_S)
.add_node("ok", ok)
.add_node("boom", boom)
.add_edge(START, "ok")
.add_edge(START, "boom")
.add_edge("ok", END)
.add_edge("boom", END)
.compile()
)
with pytest.raises(NodeCancelledError) as excinfo:
await graph.ainvoke({"vals": []})
assert excinfo.value.node == "boom"
-54
View File
@@ -1164,57 +1164,3 @@ def test_execution_info_inherited_by_subgraph() -> None:
# task_id appears in its own namespace segment
assert main_info.task_id in main_info.checkpoint_ns
assert sub_info.task_id in sub_info.checkpoint_ns
def test_foreign_object_in_runtime_slot_is_coerced() -> None:
"""A non-`Runtime` under `CONFIG_KEY_RUNTIME` is adopted, not crashed on,
and the `context` it carries is plumbed through.
Layers outside a run (e.g. a server's graph-factory path, like LangGraph
API) seed an object carrying `context`/`store` into the runtime slot. The
run must still execute (regression for `AttributeError: '...' object has no
attribute 'control'`), and `context` set at that level must reach nodes via
`merge` when no per-run `context` is provided. `store` is resolved
separately, so it is not read off the foreign object in the coercion.
"""
from langgraph.store.memory import InMemoryStore
from langgraph._internal._constants import CONFIG_KEY_RUNTIME
store = InMemoryStore()
graph_level_context = {"source": "graph-level"}
class _ServerLikeRuntime:
"""Carries context/store but is not a `Runtime` (no control/merge)."""
def __init__(self) -> None:
self.context = graph_level_context
self.store = store
seen: dict[str, Any] = {}
class State(TypedDict, total=False):
text: str
def echo(state: State, runtime: Runtime) -> State:
seen["context"] = runtime.context
seen["store"] = runtime.store
return {"text": (state.get("text") or "") + " echoed"}
builder = StateGraph(State)
builder.add_node("echo", echo)
builder.add_edge(START, "echo")
builder.add_edge("echo", END)
graph = builder.compile()
# No per-run `context=`: the graph-level context on the slot must plumb through.
result = graph.invoke(
{"text": "hi"},
{"configurable": {CONFIG_KEY_RUNTIME: _ServerLikeRuntime()}},
)
assert result == {"text": "hi echoed"}
# context set at the graph level is plumbed through to the node via merge
assert seen["context"] == graph_level_context
# store still reaches the node (resolved separately, not via the coercion)
assert seen["store"] is store
@@ -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}"
)
@@ -1,6 +1,6 @@
"""Tests for v2 streaming format (StreamPart TypedDicts).
This file is checked by ty directly.
This file is checked by mypy directly no subprocess workarounds.
Type-narrowing is validated via `assert_type` calls in `_check_type_narrowing`.
"""
@@ -25,7 +25,6 @@ from langgraph.stream._mux import StreamMux
from langgraph.stream.transformers import (
LifecyclePayload,
LifecycleTransformer,
_TasksLifecycleBase,
)
TS = int(time.time() * 1000)
@@ -36,25 +35,28 @@ def _tasks_start(
*,
task_id: str,
name: str,
metadata: dict[str, Any] | None = None,
input: Any = None,
) -> dict[str, Any]:
"""Build a `tasks` ProtocolEvent carrying a TaskPayload (start)."""
data: dict[str, Any] = {
"id": task_id,
"name": name,
"input": input,
"triggers": [],
}
if metadata is not None:
data["metadata"] = metadata
"""Build a `tasks` ProtocolEvent carrying a TaskPayload (start).
Pass `input=[{"id": ..., "name": ..., "args": {...}}]` (the per-call
list shape `langchain.agents.create_agent` Send-fans out) or
`input={"tool_call": {"id": ..., ...}, ...}` (the dict envelope older
prebuilt agent paths emit) to exercise the lifecycle transformer's
`tool_call_id` mining for `lifecycle.started.metadata`.
"""
return {
"type": "event",
"method": "tasks",
"params": {
"namespace": namespace,
"timestamp": TS,
"data": data,
"data": {
"id": task_id,
"name": name,
"input": input,
"triggers": [],
},
},
}
@@ -129,7 +131,220 @@ def test_started_emitted_on_first_direct_child_task() -> None:
assert payload["event"] == "started"
assert payload["namespace"] == ["agent:abc123"]
assert payload["graph_name"] == "agent"
assert payload["trigger_call_id"] == "abc123"
assert payload["parent_task_id"] == "abc123"
def test_started_carries_metadata_for_dict_envelope_input() -> None:
"""When the dispatching task's `input` is a dict envelope with a
`tool_call` field (the shape older prebuilt agent paths Send-fan
out per call), the transformer mines `tool_call_id` from
`tool_call.id` and remembers it keyed by the dispatching task id.
When that task triggers a subgraph (the child's namespace ends in
`name:<dispatching_task_id>`), `lifecycle.started.metadata` carries
`{"type": "tool_call", "tool_call_id": ...}`. Identity correlation
still uses `parent_task_id`; `tool_call_id` is exposed so UI
consumers can anchor the lifecycle event back to the originating
AI message tool call. Args are deliberately NOT mined they live
on the AIMessage and have a single source of truth there.
"""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="abc123",
name="tools",
input={
"tool_call": {
"id": "call_xyz",
"name": "task",
"args": {"subagent_type": "researcher"},
}
},
)
)
mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
[payload] = _drain_lifecycle(mux)
assert payload["event"] == "started"
assert payload["parent_task_id"] == "abc123"
assert payload["metadata"] == {
"type": "tool_call",
"tool_call_id": "call_xyz",
}
def test_started_carries_metadata_for_list_shape_per_call_input() -> None:
"""`langchain.agents.create_agent` Send-fans out a per-call task
whose `input` is a single-element list of tool-call dicts:
`[{"id": ..., "name": ..., "args": {...}}]`. The transformer mines
`tool_call_id` exactly as for the dict envelope shape, so
`lifecycle.started.metadata` fires regardless of which agent factory
drove the dispatch.
"""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="abc123",
name="tools",
input=[
{
"id": "tc-1",
"name": "task",
"args": {"subagent_type": "researcher"},
}
],
)
)
mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
[payload] = _drain_lifecycle(mux)
assert payload["event"] == "started"
assert payload["parent_task_id"] == "abc123"
assert payload["metadata"] == {"type": "tool_call", "tool_call_id": "tc-1"}
def test_started_carries_metadata_when_args_absent() -> None:
"""`tool_call_id` is the only field metadata needs; the dispatching
envelope can omit `args` entirely (or have non-dict args) and we
still produce a metadata as long as `id` is a string."""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="abc123",
name="tools",
input=[{"id": "tc-1", "name": "some_tool"}],
)
)
mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
[payload] = _drain_lifecycle(mux)
assert payload["metadata"] == {"type": "tool_call", "tool_call_id": "tc-1"}
def test_list_shape_ignored_when_not_single_element() -> None:
"""Only single-element lists are recognized as the per-call shape;
a 0- or 2+-element list is some other batched/multi-call payload
and must not be mined."""
# Two-element list — not the per-call shape.
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="abc123",
name="tools",
input=[
{"id": "tc-1", "name": "task"},
{"id": "tc-2", "name": "task"},
],
)
)
mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
[payload] = _drain_lifecycle(mux)
assert "metadata" not in payload
# Empty list.
mux2 = _build_lifecycle_mux()
mux2.push(_tasks_start([], task_id="def456", name="tools", input=[]))
mux2.push(_tasks_start(["agent:def456"], task_id="t1", name="model"))
[payload2] = _drain_lifecycle(mux2)
assert "metadata" not in payload2
def test_list_shape_robust_to_non_dict_or_missing_id() -> None:
"""Duck-typing safety: a single-element list whose element isn't a
dict, or whose dict has no string `id`, must not raise it just
leaves `metadata` absent."""
# Element is not a dict.
mux = _build_lifecycle_mux()
mux.push(_tasks_start([], task_id="t-a", name="tools", input=["not-a-dict"]))
mux.push(_tasks_start(["agent:t-a"], task_id="t1", name="model"))
[payload] = _drain_lifecycle(mux)
assert "metadata" not in payload
# Element has no `id`.
mux2 = _build_lifecycle_mux()
mux2.push(_tasks_start([], task_id="t-b", name="tools", input=[{"name": "task"}]))
mux2.push(_tasks_start(["agent:t-b"], task_id="t1", name="model"))
[payload2] = _drain_lifecycle(mux2)
assert "metadata" not in payload2
# Element's `id` is not a string.
mux3 = _build_lifecycle_mux()
mux3.push(_tasks_start([], task_id="t-c", name="tools", input=[{"id": 123}]))
mux3.push(_tasks_start(["agent:t-c"], task_id="t1", name="model"))
[payload3] = _drain_lifecycle(mux3)
assert "metadata" not in payload3
def test_parallel_dispatches_attributed_to_correct_parent() -> None:
"""Two dispatching task envelopes in the same model turn each fan
out to their own child subgraph; each child's `metadata.tool_call_id`
must reflect its own dispatching envelope, not the other.
Defends the `parent_task_id` (pregel task id) join: that id is
parsed from the child namespace segment and is unique per Send,
so it disambiguates parallel dispatches 1:1. Both children share
the same `subagent_type` (in args, not on metadata) only the
pregel task id can tell them apart, so the `tool_call_id` must
follow the pregel id, not anything from `args`.
"""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="parent_A",
name="tools",
input={
"tool_call": {
"id": "call_1",
"name": "task",
"args": {"subagent_type": "researcher"},
}
},
)
)
mux.push(
_tasks_start(
[],
task_id="parent_B",
name="tools",
input={
"tool_call": {
"id": "call_2",
"name": "task",
"args": {"subagent_type": "researcher"},
}
},
)
)
mux.push(_tasks_start(["agent:parent_A"], task_id="t1", name="model"))
mux.push(_tasks_start(["agent:parent_B"], task_id="t2", name="model"))
payloads = _drain_lifecycle(mux)
by_ns = {tuple(p["namespace"]): p for p in payloads}
assert by_ns[("agent:parent_A",)]["metadata"] == {
"type": "tool_call",
"tool_call_id": "call_1",
}
assert by_ns[("agent:parent_B",)]["metadata"] == {
"type": "tool_call",
"tool_call_id": "call_2",
}
def test_started_omits_metadata_for_structurally_triggered_subgraph() -> None:
"""Subgraphs triggered without a recognizable tool-call envelope on
the parent's input (Send with custom payloads, plain nested
`graph.invoke`, etc.) don't get a `metadata` field on
`lifecycle.started`."""
mux = _build_lifecycle_mux()
mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="tool"))
[payload] = _drain_lifecycle(mux)
assert "metadata" not in payload
def test_started_dedup_on_repeat_namespace() -> None:
@@ -194,8 +409,12 @@ def test_completed_on_parent_task_result() -> None:
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
mux.push(_tasks_result([], task_id="abc", name="agent"))
events = [p["event"] for p in _drain_lifecycle(mux)]
assert events == ["started", "completed"]
payloads = _drain_lifecycle(mux)
assert [p["event"] for p in payloads] == ["started", "completed"]
# `parent_task_id` is required on every event for the same subgraph
# so consumers can correlate `started` ↔ terminal without joining
# via `namespace`.
assert all(p["parent_task_id"] == "abc" for p in payloads)
def test_failed_on_parent_task_result_with_error() -> None:
@@ -271,6 +490,54 @@ def test_fail_emits_failed_for_other_exceptions() -> None:
assert payloads[1]["error"] == "boom"
def test_parent_task_id_present_on_every_terminal_path() -> None:
"""Every exit path that emits a terminal event (parent-result with
error / interrupts, finalize sweep, fail sweep) must carry
`parent_task_id` so consumers can correlate the terminal event
back to its `started` without falling back to namespace joins."""
# Path 1: parent-result with error.
mux = _build_lifecycle_mux()
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
mux.push(_tasks_result([], task_id="abc", name="agent", error="boom"))
[_, terminal] = _drain_lifecycle(mux)
assert terminal["event"] == "failed"
assert terminal["parent_task_id"] == "abc"
# Path 2: parent-result with interrupts.
mux2 = _build_lifecycle_mux()
mux2.push(_tasks_start(["agent:def"], task_id="t1", name="tool"))
mux2.push(
_tasks_result([], task_id="def", name="agent", interrupts=[{"value": "pause"}])
)
[_, terminal2] = _drain_lifecycle(mux2)
assert terminal2["event"] == "interrupted"
assert terminal2["parent_task_id"] == "def"
# Path 3: finalize sweep (no parent result arrived).
mux3 = _build_lifecycle_mux()
mux3.push(_tasks_start(["agent:ghi"], task_id="t1", name="tool"))
mux3.close()
[_, terminal3] = _drain_lifecycle(mux3)
assert terminal3["event"] == "completed"
assert terminal3["parent_task_id"] == "ghi"
# Path 4: fail sweep with GraphInterrupt.
mux4 = _build_lifecycle_mux()
mux4.push(_tasks_start(["agent:jkl"], task_id="t1", name="tool"))
mux4.fail(GraphInterrupt())
[_, terminal4] = _drain_lifecycle(mux4)
assert terminal4["event"] == "interrupted"
assert terminal4["parent_task_id"] == "jkl"
# Path 5: fail sweep with generic exception.
mux5 = _build_lifecycle_mux()
mux5.push(_tasks_start(["agent:mno"], task_id="t1", name="tool"))
mux5.fail(RuntimeError("kaboom"))
[_, terminal5] = _drain_lifecycle(mux5)
assert terminal5["event"] == "failed"
assert terminal5["parent_task_id"] == "mno"
def test_unrelated_methods_pass_through() -> None:
"""Non-`tasks` events are not consumed and don't emit lifecycle."""
mux = _build_lifecycle_mux()
@@ -410,303 +677,3 @@ def test_stream_events_v3_with_nested_parent_ns_scopes_lifecycle() -> None:
assert ns[:1] == ("outer:abc",), (
f"namespace {ns} not within scoped prefix ('outer:abc',)"
)
# ---------------------------------------------------------------------------
# Parsed-segment fallback (no subagent boundary)
# ---------------------------------------------------------------------------
def test_no_metadata_falls_through_to_existing_behavior() -> None:
"""Tasks events without metadata produce the same output as before T4."""
mux = _build_lifecycle_mux()
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
[payload] = _drain_lifecycle(mux)
assert payload["graph_name"] == "agent"
assert payload["trigger_call_id"] == "abc"
assert "cause" not in payload
def test_empty_metadata_dict_falls_through() -> None:
"""An explicit empty metadata dict is treated the same as no metadata."""
mux = _build_lifecycle_mux()
mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool", metadata={}))
[payload] = _drain_lifecycle(mux)
assert payload["graph_name"] == "agent"
assert "cause" not in payload
# ---------------------------------------------------------------------------
# Subagent discrimination via lc_agent_name transition
# ---------------------------------------------------------------------------
#
# A nested task is a subagent iff its metadata["lc_agent_name"] is present and
# differs from its PARENT namespace's lc_agent_name. These tests replicate the
# empirically-verified `create_agent` stream shape synthetically:
#
# - A supervisor created via `create_agent(name="supervisor")` emits its own
# node tasks (model, tools) at ns=(), each with
# metadata["lc_agent_name"] == "supervisor".
# - The parent `tools` task at ns=() carries a `tool_call_with_context`
# dict as its `input` (with the LLM tool_call_id at
# input["tool_call"]["id"]) and a task `id`. (A legacy / batched shape
# passes a list of tool-call dicts instead; both are exercised below.)
# - When a tool body invokes an inner `create_agent(name="weather_agent")`,
# the inner agent's node tasks stream at ns=("tools:<taskid>",) with
# metadata["lc_agent_name"] == "weather_agent", sharing the SAME <taskid>
# as the parent `tools` task.
# - A plain StateGraph (no name) inherits the parent's lc_agent_name, so its
# child lc == parent lc -> NOT a subagent.
def test_lifecycle_uses_lc_agent_name_for_subagent() -> None:
"""A nested run whose lc_agent_name differs from its parent's is a subagent.
graph_name becomes the child's lc_agent_name; cause is recovered by joining
the child segment's task-id to the parent push task's tool call. This uses
the production `tool_call_with_context` dict input shape current langgraph
emits (tool_call_id at input["tool_call"]["id"]).
"""
mux = _build_lifecycle_mux()
# Supervisor's `tools` push task at scope ns: carries its own lc_agent_name
# and a `tool_call_with_context` dict as `input`. Each tool call is its own
# push task, and the task id seeds the child segment.
mux.push(
_tasks_start(
[],
task_id="tools_task_1",
name="tools",
metadata={"lc_agent_name": "supervisor"},
input={
"__type": "tool_call_with_context",
"tool_call": {
"name": "call_weather",
"args": {"city": "Boston"},
"id": "call_w",
"type": "tool_call",
},
"state": {},
},
)
)
# Inner weather_agent's first node task streams under the parent `tools`
# task's namespace segment (shared task id) with its own lc_agent_name.
mux.push(
_tasks_start(
["tools:tools_task_1"],
task_id="inner_model_1",
name="model",
metadata={"lc_agent_name": "weather_agent"},
)
)
payloads = _drain_lifecycle(mux)
started = [p for p in payloads if p["event"] == "started"]
[subagent] = [p for p in started if p["namespace"] == ["tools:tools_task_1"]]
assert subagent["graph_name"] == "weather_agent", (
"graph_name should be the child's lc_agent_name, not the parsed segment"
)
assert subagent["cause"] == {"type": "toolCall", "tool_call_id": "call_w"}, (
"cause should recover the triggering tool_call_id from the parent push "
"task's tool_call_with_context input via the shared task id"
)
def test_lifecycle_subagent_cause_from_legacy_list_input() -> None:
"""cause recovery also handles the legacy / batched list input shape.
A parent task whose `input` is a list of tool-call dicts (rather than a
`tool_call_with_context` dict) still seeds the tool_call_id join.
"""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="tools_task_1",
name="tools",
metadata={"lc_agent_name": "supervisor"},
input=[{"name": "call_weather", "args": {"city": "SF"}, "id": "call_w"}],
)
)
mux.push(
_tasks_start(
["tools:tools_task_1"],
task_id="inner_model_1",
name="model",
metadata={"lc_agent_name": "weather_agent"},
)
)
payloads = _drain_lifecycle(mux)
started = [p for p in payloads if p["event"] == "started"]
[subagent] = [p for p in started if p["namespace"] == ["tools:tools_task_1"]]
assert subagent["graph_name"] == "weather_agent"
assert subagent["cause"] == {"type": "toolCall", "tool_call_id": "call_w"}
def test_lifecycle_same_name_nested_run_is_surfaced() -> None:
"""A nested run whose lc_agent_name matches the parent's is still surfaced.
A subagent that invokes itself re-asserts its own lc_agent_name, so child
lc == parent lc. The discriminator surfaces any nested run carrying an
lc_agent_name, so the recursive call is reported (named after the agent,
with the triggering tool call as cause).
Trade-off: a non-agent subgraph that merely inherited the parent's
lc_agent_name would also surface here. That is accepted; a caller can null
lc_agent_name in the config it invokes such a graph with to exclude it.
"""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="tools_task_1",
name="tools",
metadata={"lc_agent_name": "weather_agent"},
input={
"__type": "tool_call_with_context",
"tool_call": {
"name": "recurse",
"args": {},
"id": "call_x",
"type": "tool_call",
},
"state": {},
},
)
)
# The agent invokes itself: the nested run re-asserts the SAME lc_agent_name.
mux.push(
_tasks_start(
["tools:tools_task_1"],
task_id="inner_node_1",
name="model",
metadata={"lc_agent_name": "weather_agent"},
)
)
payloads = _drain_lifecycle(mux)
started = [p for p in payloads if p["event"] == "started"]
[nested] = [p for p in started if p["namespace"] == ["tools:tools_task_1"]]
assert nested["graph_name"] == "weather_agent", (
"a same-named nested run (e.g. self-recursion) must still be surfaced"
)
assert nested["cause"] == {"type": "toolCall", "tool_call_id": "call_x"}
def test_lifecycle_unnamed_nested_agent_is_not_subagent() -> None:
"""A nested run with lc_agent_name None is excluded (not a subagent)."""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="tools_task_1",
name="tools",
metadata={"lc_agent_name": "supervisor"},
input={
"__type": "tool_call_with_context",
"tool_call": {
"name": "lookup",
"args": {},
"id": "call_x",
"type": "tool_call",
},
"state": {},
},
)
)
mux.push(
_tasks_start(
["plain:tools_task_1"],
task_id="inner_node_1",
name="inner_node",
metadata={"lc_agent_name": None},
)
)
payloads = _drain_lifecycle(mux)
started = [p for p in payloads if p["event"] == "started"]
[nested] = [p for p in started if p["namespace"] == ["plain:tools_task_1"]]
assert nested["graph_name"] == "plain"
assert "cause" not in nested
def test_lifecycle_subagent_terminal_roundtrip() -> None:
"""A detected subagent closes with `completed` when its parent task results.
Pushes the subagent's `started` (via the `tool_call_with_context` parent
plus the child task event) and then the parent push task's terminal
result, asserting the namespace is closed and the `started` payload's
projected graph_name / cause survive the roundtrip.
"""
mux = _build_lifecycle_mux()
mux.push(
_tasks_start(
[],
task_id="tools_task_1",
name="tools",
metadata={"lc_agent_name": "supervisor"},
input={
"__type": "tool_call_with_context",
"tool_call": {
"name": "call_weather",
"args": {"city": "Boston"},
"id": "call_w",
"type": "tool_call",
},
"state": {},
},
)
)
mux.push(
_tasks_start(
["tools:tools_task_1"],
task_id="inner_model_1",
name="model",
metadata={"lc_agent_name": "weather_agent"},
)
)
# The parent push task (id=tools_task_1, at scope ns) finishes, closing
# the subagent subgraph that streamed under `tools:tools_task_1`.
mux.push(_tasks_result([], task_id="tools_task_1", name="tools"))
payloads = _drain_lifecycle(mux)
ns = ["tools:tools_task_1"]
subagent = [p for p in payloads if p["namespace"] == ns]
assert [p["event"] for p in subagent] == ["started", "completed"]
started, _completed = subagent
assert started["graph_name"] == "weather_agent"
assert started["cause"] == {"type": "toolCall", "tool_call_id": "call_w"}
def test_on_started_override_without_cause_is_backward_compatible() -> None:
"""An `_on_started` override with the original 3-arg signature must work.
`cause` is delivered via `self._pending_cause`, not the call signature, so
older/third-party subclasses (e.g. deepagents' `SubagentTransformer`) that
override `_on_started(self, ns, graph_name, trigger_call_id)` keep working
no `TypeError: _on_started() got an unexpected keyword argument 'cause'`.
"""
seen: list[tuple] = []
class _LegacyTransformer(_TasksLifecycleBase):
def init(self) -> dict[str, Any]:
return {}
def _should_track(self, ns: tuple[str, ...]) -> bool:
return len(ns) == 1 # direct child of the root scope
# Deliberately omits `cause` — mirrors a pre-`cause` override.
def _on_started(self, ns, graph_name, trigger_call_id) -> None: # type: ignore[override]
seen.append((ns, graph_name, trigger_call_id))
def _on_terminal(self, ns, status, error) -> None:
pass
transformer = _LegacyTransformer(scope=())
# Must not raise: the base calls `_on_started` without a `cause` kwarg.
transformer.process(_tasks_start(["agent:abc123"], task_id="abc123", name="agent"))
assert seen == [(("agent:abc123",), "agent", "abc123")]
@@ -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`."""
@@ -195,7 +195,7 @@ def test_handle_created_on_first_direct_child_task() -> None:
[handle] = _drain_subgraphs(mux)
assert handle.path == ("agent:abc",)
assert handle.graph_name == "agent"
assert handle.trigger_call_id == "abc"
assert handle.parent_task_id == "abc"
assert handle.status == "started"
_child_mux(handle) # mini-mux backed
-281
View File
@@ -15,17 +15,14 @@ from unittest.mock import MagicMock, patch
import langsmith
import pytest
from langchain_core.callbacks import BaseCallbackHandler, CallbackManager
from langchain_core.runnables import RunnableConfig
from langchain_core.tracers import LangChainTracer
from typing_extensions import NotRequired, Required, TypedDict
from langgraph._internal._config import (
_is_not_empty,
_merge_callbacks,
ensure_config,
get_callback_manager_for_config,
merge_configs,
)
from langgraph._internal._fields import (
_is_optional_type,
@@ -430,281 +427,3 @@ def test_callback_manager_copies_configurable_ids_to_tracing_metadata() -> None:
"thread_id": "th-123",
"user_id": "uid-1",
}
class _TrackingCB(BaseCallbackHandler):
"""Minimal callback handler used only as a sentinel for merge tests."""
def __init__(self, tag: str) -> None:
self.tag = tag
def __eq__(self, other: object) -> bool:
return isinstance(other, _TrackingCB) and self.tag == other.tag
def __hash__(self) -> int:
return hash(self.tag)
def test_merge_callbacks_none_base_list_new() -> None:
cb = _TrackingCB("a")
merged = _merge_callbacks(None, [cb])
assert merged == [cb]
def test_merge_callbacks_list_base_list_new() -> None:
a, b = _TrackingCB("a"), _TrackingCB("b")
merged = _merge_callbacks([a], [b])
assert merged == [a, b]
def test_merge_callbacks_list_base_manager_new() -> None:
a = _TrackingCB("a")
mgr = CallbackManager(handlers=[_TrackingCB("b")])
merged = _merge_callbacks([a], mgr)
assert isinstance(merged, CallbackManager)
assert _TrackingCB("a") in merged.handlers
assert _TrackingCB("b") in merged.handlers
def test_merge_callbacks_manager_base_list_new() -> None:
mgr = CallbackManager(handlers=[_TrackingCB("a")])
b = _TrackingCB("b")
merged = _merge_callbacks(mgr, [b])
assert isinstance(merged, CallbackManager)
assert _TrackingCB("a") in merged.handlers
assert _TrackingCB("b") in merged.handlers
def test_merge_callbacks_manager_base_manager_new() -> None:
mgr_a = CallbackManager(handlers=[_TrackingCB("a")])
mgr_b = CallbackManager(handlers=[_TrackingCB("b")])
merged = _merge_callbacks(mgr_a, mgr_b)
assert isinstance(merged, CallbackManager)
assert _TrackingCB("a") in merged.handlers
assert _TrackingCB("b") in merged.handlers
def test_merge_callbacks_none_base_none_new() -> None:
merged = _merge_callbacks(None, None)
assert merged is None
def test_ensure_config_merges_configurable_across_configs() -> None:
a = {"configurable": {"ls_agent_type": "root"}}
b = {"configurable": {"thread_id": "T1"}}
merged = ensure_config(a, b)
assert merged["configurable"]["ls_agent_type"] == "root"
assert merged["configurable"]["thread_id"] == "T1"
def test_ensure_config_configurable_later_wins_per_key() -> None:
a = {"configurable": {"shared": "from_a", "only_a": "A"}}
b = {"configurable": {"shared": "from_b", "only_b": "B"}}
merged = ensure_config(a, b)
assert merged["configurable"]["shared"] == "from_b" # later wins per key
assert merged["configurable"]["only_a"] == "A"
assert merged["configurable"]["only_b"] == "B"
def test_ensure_config_merges_metadata_across_configs() -> None:
a = {"metadata": {"user_id": "U1"}}
b = {"metadata": {"correlation_id": "C1"}}
merged = ensure_config(a, b)
assert merged["metadata"]["user_id"] == "U1"
assert merged["metadata"]["correlation_id"] == "C1"
def test_ensure_config_metadata_later_wins_per_key() -> None:
a = {"metadata": {"shared": "from_a"}}
b = {"metadata": {"shared": "from_b"}}
merged = ensure_config(a, b)
assert merged["metadata"]["shared"] == "from_b"
def test_merge_configs_merges_metadata_lc_versions() -> None:
a = {
"metadata": {
"lc_versions": {"langgraph": "1.2.4"},
"lc_agent_name": "agent",
}
}
b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
merged = merge_configs(a, b)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
}
assert merged["metadata"]["lc_agent_name"] == "agent"
def test_ensure_config_merges_metadata_lc_versions() -> None:
a = {
"metadata": {
"lc_versions": {"langgraph": "1.2.4"},
"lc_agent_name": "agent",
}
}
b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
merged = ensure_config(a, b)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
}
assert merged["metadata"]["lc_agent_name"] == "agent"
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_lc_versions_later_values_win_without_recursive_merge(
merge: Callable[..., RunnableConfig],
) -> None:
a = {
"metadata": {
"lc_versions": {
"langgraph": "1.2.4",
"nested": {"only_a": "A", "shared": "from_a"},
}
}
}
b = {
"metadata": {
"lc_versions": {
"langchain-core": "1.2.0",
"nested": {"only_b": "B", "shared": "from_b"},
}
}
}
merged = merge(a, b)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
"nested": {"only_b": "B", "shared": "from_b"},
}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_nested_mappings_other_than_lc_versions_are_replaced(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"versions": {"langgraph": "1.2.4"}, "mode": "bound"}}
b = {
"metadata": {
"versions": {"langchain-core": "1.2.0"},
"mode": {"source": "runtime"},
}
}
merged = merge(a, b)
assert merged["metadata"]["versions"] == {"langchain-core": "1.2.0"}
assert merged["metadata"]["mode"] == {"source": "runtime"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_non_mapping_values_later_wins(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}, "mode": "bound"}}
b = {"metadata": {"lc_versions": "runtime", "mode": {"source": "runtime"}}}
merged = merge(a, b)
assert merged["metadata"]["lc_versions"] == "runtime"
assert merged["metadata"]["mode"] == {"source": "runtime"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_lc_versions_merge_does_not_mutate_inputs(
merge: Callable[..., RunnableConfig],
) -> None:
a_versions = {"langgraph": "1.2.4"}
b_versions = {"langchain-core": "1.2.0"}
a = {"metadata": {"lc_versions": a_versions}}
b = {"metadata": {"lc_versions": b_versions}}
merged = merge(a, b)
assert a == {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
assert b == {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
assert merged["metadata"]["lc_versions"] is not a_versions
assert merged["metadata"]["lc_versions"] is not b_versions
merged["metadata"]["lc_versions"]["langgraph"] = "changed"
assert a_versions == {"langgraph": "1.2.4"}
assert b_versions == {"langchain-core": "1.2.0"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_single_sided_mapping_values_are_copied(
merge: Callable[..., RunnableConfig],
) -> None:
base_versions = {"langgraph": "1.2.4"}
new_versions = {"langchain-core": "1.2.0"}
merged_base_only = merge({"metadata": {"lc_versions": base_versions}})
merged_new_only = merge(
{"metadata": {}},
{"metadata": {"lc_versions": new_versions}},
)
assert merged_base_only["metadata"]["lc_versions"] is not base_versions
assert merged_new_only["metadata"]["lc_versions"] is not new_versions
merged_base_only["metadata"]["lc_versions"]["langgraph"] = "changed"
merged_new_only["metadata"]["lc_versions"]["langchain-core"] = "changed"
assert base_versions == {"langgraph": "1.2.4"}
assert new_versions == {"langchain-core": "1.2.0"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_empty_incoming_preserves_base_lc_versions(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
b = {"metadata": {"lc_versions": {}}}
merged = merge(a, b)
assert merged["metadata"]["lc_versions"] == {"langgraph": "1.2.4"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_lc_versions_accumulate_across_more_than_two_configs(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
c = {"metadata": {"lc_versions": {"langchain": "1.1.0"}}}
merged = merge(a, b, c)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
"langchain": "1.1.0",
}
def test_ensure_config_merges_tags_across_configs() -> None:
a = {"tags": ["alpha"]}
b = {"tags": ["beta"]}
merged = ensure_config(a, b)
assert merged["tags"] == ["alpha", "beta"]
def test_ensure_config_tags_concat_preserves_order_and_duplicates() -> None:
# Plain concat (matches merge_configs in this file — no dedup, no sort).
a = {"tags": ["shared", "alpha"]}
b = {"tags": ["shared", "beta"]}
merged = ensure_config(a, b)
assert merged["tags"] == ["shared", "alpha", "shared", "beta"]
def test_ensure_config_merges_callbacks_across_configs() -> None:
a_cb = _TrackingCB("a")
b_cb = _TrackingCB("b")
merged = ensure_config({"callbacks": [a_cb]}, {"callbacks": [b_cb]})
assert merged["callbacks"] == [a_cb, b_cb]
def test_ensure_config_none_inputs_ignored() -> None:
# mixed with None should not raise
merged = ensure_config(None, {"tags": ["t"]}, None)
assert merged["tags"] == ["t"]
def test_ensure_config_empty_inputs() -> None:
# everything empty -> defaults
merged = ensure_config()
assert merged["tags"] == []
assert merged["configurable"] == {}
assert merged["callbacks"] is None
+531 -468
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+5 -2
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@@ -36,19 +36,22 @@ test_watch:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check langgraph
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
type:
uv run ty check langgraph
mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
@@ -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:
@@ -1237,7 +1237,7 @@ class ToolNode(RunnableCallable):
isinstance(input, dict) and input.get("__type") == "tool_call_with_context"
):
# Handle ToolCallWithContext from Send API
# Type checkers cannot narrow correctly since the signature
# mypy will not be able to type narrow correctly since the signature
# for input contains dict[str, Any]. We'd need to narrow dict[str, Any]
# before we can apply correct typing.
input_with_ctx = cast("ToolCallWithContext", input)
+12 -15
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"
@@ -51,7 +51,7 @@ test = [
lint = [
"ruff",
"codespell",
"ty",
"mypy",
]
dev = [
{include-group = "test"},
@@ -79,21 +79,18 @@ lint.select = [ "E", "F", "I", "TID251", "UP" ]
lint.ignore = [ "E501" ]
target-version = "py310"
[tool.ty.rules]
call-non-callable = "ignore"
deprecated = "ignore"
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-await = "ignore"
invalid-return-type = "ignore"
no-matching-overload = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unresolved-import = "ignore"
unsupported-operator = "ignore"
[tool.pytest-watcher]
now = true
delay = 0.1
runner_args = ["--ff", "-v", "--tb", "short"]
patterns = ["*.py"]
[tool.mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html
disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value"
@@ -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"))
+586 -551
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