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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
241 changed files with 6104 additions and 33437 deletions
+1 -1
View File
@@ -24,7 +24,7 @@ runs:
using: composite
steps:
- name: Install uv and set the python version
uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ inputs.python-version }}
enable-cache: ${{ inputs.enable-cache }}
+3 -3
View File
@@ -37,7 +37,7 @@ jobs:
run:
working-directory: libs/cli
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
@@ -126,8 +126,8 @@ jobs:
exit 1
fi
LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
if [ "$LANGCHAIN_ANTHROPIC_VERSION" != "1.4.6" ]; then
echo "LANGCHAIN_ANTHROPIC_VERSION != 1.4.6; $LANGCHAIN_ANTHROPIC_VERSION"
if [ "$LANGCHAIN_ANTHROPIC_VERSION" != "1.0.0a5" ]; then
echo "LANGCHAIN_ANTHROPIC_VERSION != 1.0.0a5; $LANGCHAIN_ANTHROPIC_VERSION"
exit 1
fi
+21 -1
View File
@@ -31,7 +31,7 @@ jobs:
- "3.12"
name: "lint #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
@@ -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@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- 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 ${i}s"
exit 0
fi
sleep 2
done
echo "API failed to become healthy within 120s"
docker compose -f libs/sdk-py/integration/docker-compose.yml logs api | tail -100
exit 1
- name: Run integration suite
if: env.HAS_LANGSMITH_API_KEY == 'true'
run: uv run pytest tests/integration/ -m integration
- name: Dump api logs on failure
if: failure() && env.HAS_LANGSMITH_API_KEY == 'true'
working-directory: libs/sdk-py/integration
run: docker compose logs api | tail -200
- name: Tear down stack
if: always() && env.HAS_LANGSMITH_API_KEY == 'true'
working-directory: libs/sdk-py/integration
run: docker compose down -v
+2 -2
View File
@@ -25,7 +25,7 @@ jobs:
name: "test #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
with:
@@ -33,7 +33,7 @@ jobs:
cache-suffix: test-${{ 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: ${{ secrets.DOCKERHUB_USERNAME }}
+2 -2
View File
@@ -23,7 +23,7 @@ jobs:
working-directory: libs/langgraph
name: "test #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
with:
@@ -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 }}
+4 -4
View File
@@ -23,7 +23,7 @@ jobs:
version: ${{ steps.check-version.outputs.version }}
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python ${{ env.PYTHON_VERSION }}
uses: ./.github/actions/uv_setup
@@ -48,7 +48,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
- name: Upload build
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
uses: actions/upload-artifact@v7
with:
name: test-dist
path: ${{ inputs.working-directory }}/dist/
@@ -74,9 +74,9 @@ jobs:
id-token: write
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
- uses: actions/download-artifact@v8
with:
name: test-dist
path: ${{ inputs.working-directory }}/dist/
+2 -2
View File
@@ -17,7 +17,7 @@ jobs:
run:
working-directory: libs/langgraph
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
- name: Set up Python 3.11
uses: ./.github/actions/uv_setup
@@ -30,7 +30,7 @@ jobs:
- name: Run benchmarks
run: OUTPUT=out/benchmark-baseline.json make -s benchmark
- name: Save outputs
uses: actions/cache/save@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
uses: actions/cache/save@v5
with:
key: ${{ runner.os }}-benchmark-baseline-${{ env.SHA }}
path: |
+6 -10
View File
@@ -15,7 +15,7 @@ jobs:
run:
working-directory: libs/langgraph
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- id: files
name: Get changed files
uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
@@ -30,7 +30,7 @@ jobs:
- name: Install dependencies
run: uv sync --group test
- name: Download baseline
uses: actions/cache/restore@55cc8345863c7cc4c66a329aec7e433d2d1c52a9 # v6.1.0
uses: actions/cache/restore@v5
with:
key: ${{ runner.os }}-benchmark-baseline
restore-keys: |
@@ -57,19 +57,15 @@ jobs:
echo EOF
} >> "$GITHUB_OUTPUT"
- name: Annotation
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
env:
CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
COMPARE_OUTPUT: ${{ steps.compare.outputs.OUTPUT }}
uses: actions/github-script@v9
with:
script: |
const file = JSON.parse(process.env.CHANGED_FILES || "[]")[0]
core.notice(process.env.BENCHMARK_OUTPUT || "", {
const file = JSON.parse(`${{ 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,
})
+4 -19
View File
@@ -28,9 +28,8 @@ 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@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
if: github.event_name != 'workflow_dispatch'
id: filter
@@ -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
@@ -112,9 +105,9 @@ jobs:
name: "Check SDK methods matching"
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6.3.0
uses: actions/setup-python@v6
with:
python-version: "3.11"
- name: Run check_sdk_methods script
@@ -130,7 +123,7 @@ jobs:
python-version:
- "3.13"
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
with:
@@ -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()
+5 -5
View File
@@ -26,10 +26,10 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
uses: actions/checkout@v6
- name: Setup Python
uses: actions/setup-python@ece7cb06caefa5fff74198d8649806c4678c61a1 # v6.3.0
uses: actions/setup-python@v6
with:
python-version: '3.11'
@@ -37,13 +37,13 @@ jobs:
run: python docs/generate_redirects.py
- name: Setup Pages
uses: actions/configure-pages@45bfe0192ca1faeb007ade9deae92b16b8254a0d # v6.0.0
uses: actions/configure-pages@v6
- name: Upload artifact
uses: actions/upload-pages-artifact@fc324d3547104276b827a68afc52ff2a11cc49c9 # v5.0.0
uses: actions/upload-pages-artifact@v5
with:
path: 'docs/_site'
- name: Deploy to GitHub Pages
id: deployment
uses: actions/deploy-pages@cd2ce8fcbc39b97be8ca5fce6e763baed58fa128 # v5.0.0
uses: actions/deploy-pages@v5
-1
View File
@@ -41,7 +41,6 @@ jobs:
docs
ci
deps
deps-dev
requireScope: false
ignoreLabels: |
ignore-lint-pr-title
+8 -11
View File
@@ -25,14 +25,13 @@ jobs:
tag: ${{ steps.check-version.outputs.tag }}
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
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,
@@ -51,7 +50,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
- name: Upload build
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
uses: actions/upload-artifact@v7
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
@@ -87,7 +86,7 @@ jobs:
outputs:
release-body: ${{ steps.generate-release-body.outputs.release-body }}
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
with:
repository: langchain-ai/langgraph
path: langgraph
@@ -158,7 +157,7 @@ jobs:
- test-pypi-publish
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
# We explicitly *don't* set up caching here. This ensures our tests are
# maximally sensitive to catching breakage.
@@ -262,17 +261,16 @@ jobs:
working-directory: ${{ inputs.working-directory }}
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
- uses: actions/download-artifact@v8
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
@@ -304,17 +302,16 @@ jobs:
working-directory: ${{ inputs.working-directory }}
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
with:
python-version: ${{ env.PYTHON_VERSION }}
cache-suffix: "release"
enable-cache: false
working-directory: ${{ inputs.working-directory }}
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
- uses: actions/download-artifact@v8
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
+1 -1
View File
@@ -26,7 +26,7 @@ jobs:
steps:
- name: Find and reopen matching PRs
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
script: |
const { owner, repo } = context.repo;
+4 -4
View File
@@ -50,7 +50,7 @@ jobs:
steps:
- name: Check for issue link and assignee
id: check-link
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
script: |
const { owner, repo } = context.repo;
@@ -283,7 +283,7 @@ jobs:
if: >-
env.ENFORCE_ISSUE_LINK == 'true' &&
(steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
script: |
const { owner, repo } = context.repo;
@@ -312,7 +312,7 @@ jobs:
if: >-
env.ENFORCE_ISSUE_LINK == 'true' &&
steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
script: |
const { owner, repo } = context.repo;
@@ -366,7 +366,7 @@ jobs:
if: >-
env.ENFORCE_ISSUE_LINK == 'true' &&
(steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
script: |
const { owner, repo } = context.repo;
+7 -7
View File
@@ -55,7 +55,7 @@ jobs:
steps:
- name: Generate GitHub App token
id: app-token
uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
uses: actions/create-github-app-token@v3
with:
app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
@@ -63,7 +63,7 @@ jobs:
- name: Check if contributor is external
if: steps.app-token.outcome == 'success'
id: check-membership
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
github-token: ${{ steps.app-token.outputs.token }}
script: |
@@ -102,7 +102,7 @@ jobs:
- name: Apply contributor tier label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
@@ -155,7 +155,7 @@ jobs:
- name: Add external label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
@@ -168,7 +168,7 @@ jobs:
- name: Add internal label
if: steps.check-membership.outputs.is-external == 'false'
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
@@ -190,13 +190,13 @@ jobs:
steps:
- name: Generate GitHub App token
id: app-token
uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
uses: actions/create-github-app-token@v3
with:
app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
- name: Backfill labels
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
github-token: ${{ steps.app-token.outputs.token }}
script: |
+5 -5
View File
@@ -40,7 +40,7 @@ jobs:
steps:
- name: Generate GitHub App token
id: app-token
uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
uses: actions/create-github-app-token@v3
with:
app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
@@ -48,7 +48,7 @@ jobs:
- name: Check if contributor is external
if: steps.app-token.outcome == 'success'
id: check-membership
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
github-token: ${{ steps.app-token.outputs.token }}
script: |
@@ -90,7 +90,7 @@ jobs:
# event fires and triggers require_issue_link.yml.
- name: Apply contributor tier label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
# Use App token so the "labeled" event propagates to downstream
# workflows (e.g. require_issue_link.yml).
@@ -145,7 +145,7 @@ jobs:
- name: Add external label
if: steps.check-membership.outputs.is-external == 'true'
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
# Use App token so the "labeled" event propagates to downstream
# workflows (e.g. require_issue_link.yml). Events created by the
@@ -161,7 +161,7 @@ jobs:
- name: Add internal label
if: steps.check-membership.outputs.is-external == 'false'
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
with:
github-token: ${{ secrets.GITHUB_TOKEN }}
script: |
+1 -1
View File
@@ -16,7 +16,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up uv
uses: ./.github/actions/uv_setup
+1 -9
View File
@@ -1,11 +1,3 @@
# LangGraph examples
This directory is retained purely for archival purposes and is no longer updated.
## 🤔 What is this?
The examples previously found here have been moved to the consolidated LangChain documentation. This directory remains available for historical reference, but new examples and usage guidance are published in the docs.
## 📖 Documentation
For up-to-date LangGraph examples, tutorials, and guides, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview). Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
This directory is retained purely for archival purposes and is no longer updated. The examples previously found here have been moved to the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview). Please refer to the LangChain docs for the most up-to-date examples and usage guidelines for LangGraph.
-132
View File
@@ -1,132 +0,0 @@
# delta-channel-dump
Recover messages (and other channels) from a Postgres-backed LangGraph thread
written by **langgraph >= 1.2** (DeltaChannel format) — including **LangGraph
Server / langgraph-api** deployments on the Postgres runtime, **deepagents
0.6.x**, or any OSS app using `PostgresSaver` — before rolling back to an older
runtime such as **deepagents 0.5.x / langgraph < 1.2**.
langgraph-api uses the same `checkpoints` / `checkpoint_blobs` / `checkpoint_writes`
schema as OSS `checkpoint-postgres`; this script reads those tables directly.
On the older runtime, `add_messages` does not understand the `EXT_DELTA_SNAPSHOT`
msgpack ext code and silently returns an empty list for affected channels. This
tool reads the raw checkpoint blobs from Postgres and emits JSON you can inspect
and re-apply via `update_state` (LangGraph Server SDK) or `graph.update_state`
(OSS).
## Install
```bash
pip install "psycopg[binary]" ormsgpack
```
## Run
```bash
export DATABASE_URI=postgres://user:pass@host:5432/dbname
python3 dump.py \
--thread-id <uuid> \
--channel messages \
[--channel files ...] \
[--checkpoint-id <uuid>] \
[--checkpoint-ns ""] \
--output recovery.json
```
- `--thread-id` (required): thread UUID
- `--channel` (required, repeatable): channel names to recover
- `--checkpoint-id` (optional): target checkpoint; defaults to latest
- `--checkpoint-ns` (optional): namespace; defaults to `""`
- `--database-uri` (optional): Postgres URI; defaults to `DATABASE_URI` env var
- `--output` (optional): output file; defaults to stdout
## Output
```json
{
"thread_id": "...",
"checkpoint_ns": "",
"target_checkpoint_id": "...",
"parent_checkpoint_id": "...",
"channels": {
"messages": {
"delta_kind": "snapshot",
"seed_checkpoint_id": "...",
"seed_version": "...",
"seed": [{ "type": "ai", "content": "...", "id": "ai-0" }],
"writes": [
{
"checkpoint_id": "...",
"task_id": "...",
"idx": 0,
"value": [{ "type": "ai", "content": "...", "id": "ai-10" }]
}
]
}
}
}
```
`delta_kind` is one of:
- `snapshot` — DeltaChannel snapshot blob (`channel_values[ch] == true`)
- `legacy_plain` — pre-DeltaChannel inline or blob value
- `no_seed` — walked to root without finding a populated ancestor
`writes` are ordered oldest-to-newest (the order a reducer would replay them).
## Reducing back to a single list
For deepagents-style messages, combine seed and writes, then deduplicate:
```python
import json
data = json.load(open("recovery.json"))
ch = data["channels"]["messages"]
messages = list(ch["seed"] or [])
for w in ch["writes"]:
messages.extend(w["value"] or [])
# Dedup by id, keep last; drop RemoveMessage tombstones
by_id = {}
for m in messages:
if isinstance(m, dict) and m.get("type") == "remove":
by_id.pop(m.get("id"), None)
elif isinstance(m, dict) and m.get("id"):
by_id[m["id"]] = m
else:
by_id[id(m)] = m
reduced = list(by_id.values())
```
This approximates `_messages_delta_reducer` semantics; adjust for your graph.
## Re-applying
```python
from langgraph_sdk import get_client
client = get_client(url="http://localhost:8123")
await client.threads.update_state(
thread_id,
values={"messages": reduced},
)
```
Review the recovered JSON before calling `update_state`. This tool is
read-only and intentionally does not mutate the database.
## Scope / non-goals (v1)
- **Postgres only** — OSS `PostgresSaver` or langgraph-api Postgres runtime; not
inmem, gRPC core, Mongo, or Redis checkpointer backends
- **No AES decryption** (`LANGGRAPH_AES_KEY`) or custom encryption
- **No reducer** — raw seed + writes only
- **No automatic `update_state`** — operator applies manually
## Copying
`dump.py` is self-contained. Copy it anywhere; only `psycopg[binary]` and
`ormsgpack` are required at runtime. No langgraph imports.
-469
View File
@@ -1,469 +0,0 @@
#!/usr/bin/env python3
"""Recover delta-channel state from a Postgres-backed LangGraph thread.
Works with OSS ``PostgresSaver`` and LangGraph Server / langgraph-api on the
Postgres runtime (same checkpoint schema). Use after rolling back from
langgraph >= 1.2 / deepagents 0.6.x to an older runtime that does not
understand ``EXT_DELTA_SNAPSHOT`` msgpack blobs. The script walks the checkpoint
parent chain, decodes msgpack blobs, and emits a JSON dump of per-channel
``seed`` plus oldest-to-newest ``writes``. Apply the recovered values manually
via ``client.threads.update_state(...)`` (Server) or ``graph.update_state``
(OSS).
Install::
pip install "psycopg[binary]" ormsgpack
Run::
export DATABASE_URI=postgres://...
python3 dump.py --thread-id <uuid> --channel messages --output recovery.json
Scope (v1): Postgres only; no AES/custom encryption; no reducer application.
"""
from __future__ import annotations
import argparse
import base64
import json
import os
import sys
import uuid
from typing import Any
import ormsgpack
import psycopg
# LangGraph msgpack EXT type codes (langgraph/checkpoint/serde/jsonplus.py).
EXT_CONSTRUCTOR_SINGLE_ARG = 0
EXT_CONSTRUCTOR_POS_ARGS = 1
EXT_CONSTRUCTOR_KW_ARGS = 2
EXT_METHOD_SINGLE_ARG = 3
EXT_PYDANTIC_V1 = 4
EXT_PYDANTIC_V2 = 5
EXT_NUMPY_ARRAY = 6
EXT_DELTA_SNAPSHOT = 7
_MSGPACK_OPTION = ormsgpack.OPT_NON_STR_KEYS
def ext_hook(code: int, data: bytes) -> Any:
"""Decode LangGraph msgpack EXT payloads to JSON-friendly Python values."""
if code == EXT_DELTA_SNAPSHOT:
inner = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
return {"__delta_snapshot__": inner}
if code == EXT_CONSTRUCTOR_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
if tup[0] == "uuid" and tup[1] == "UUID":
hex_ = tup[2]
return (
f"{hex_[:8]}-{hex_[8:12]}-{hex_[12:16]}-"
f"{hex_[16:20]}-{hex_[20:]}"
)
return tup[2]
except Exception:
return None
if code == EXT_CONSTRUCTOR_POS_ARGS:
try:
tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
if tup[0] == "langgraph.types" and tup[1] == "Send":
args = tup[2]
if len(args) == 2:
return {"__send__": {"node": args[0], "arg": args[1]}}
return {
"__send__": {
"node": args[0],
"arg": args[1],
"timeout": args[2],
}
}
return tup[2]
except Exception:
return None
if code in (EXT_CONSTRUCTOR_KW_ARGS, EXT_METHOD_SINGLE_ARG):
try:
tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
return tup[2]
except Exception:
return None
if code in (EXT_PYDANTIC_V1, EXT_PYDANTIC_V2):
try:
tup = ormsgpack.unpackb(data, ext_hook=ext_hook, option=_MSGPACK_OPTION)
return tup[2]
except Exception:
return None
if code == EXT_NUMPY_ARRAY:
try:
dtype_str, shape, order, buf = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=_MSGPACK_OPTION
)
return {
"__numpy_array__": {
"dtype": dtype_str,
"shape": shape,
"order": order,
"data_b64": base64.b64encode(buf).decode("ascii"),
}
}
except Exception:
return None
return None
def decode_blob(blob_type: str, blob_bytes: bytes | None) -> Any:
if blob_type in ("empty", "null") or blob_bytes is None:
return None
if blob_type == "msgpack":
return ormsgpack.unpackb(
blob_bytes, ext_hook=ext_hook, option=_MSGPACK_OPTION
)
if blob_type in ("bytes", "bytearray"):
return base64.b64encode(blob_bytes).decode("ascii")
raise RuntimeError(
f"Unknown blob type {blob_type!r}. "
"AES/custom-encrypted deployments are out of scope for v1."
)
def delta_unwrap(value: Any) -> Any:
if isinstance(value, dict) and "__delta_snapshot__" in value:
return value["__delta_snapshot__"]
return value
def json_default(obj: Any) -> Any:
if isinstance(obj, (bytes, bytearray)):
return base64.b64encode(bytes(obj)).decode("ascii")
if isinstance(obj, uuid.UUID):
return str(obj)
raise TypeError(f"Object of type {type(obj).__name__} is not JSON serializable")
def resolve_target_checkpoint_id(
conn: psycopg.Connection[Any],
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str | None,
) -> str:
if checkpoint_id is not None:
return checkpoint_id
row = conn.execute(
"""
SELECT checkpoint_id::text
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s
ORDER BY checkpoint_id DESC
LIMIT 1
""",
(thread_id, checkpoint_ns),
).fetchone()
if row is None:
raise SystemExit(
f"No checkpoints found for thread_id={thread_id!r} "
f"checkpoint_ns={checkpoint_ns!r}"
)
return row[0]
def _load_checkpoint(
conn: psycopg.Connection[Any],
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
) -> tuple[dict[str, Any], str | None] | None:
row = conn.execute(
"""
SELECT checkpoint, parent_checkpoint_id::text
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
""",
(thread_id, checkpoint_ns, checkpoint_id),
).fetchone()
if row is None:
return None
return row[0], row[1]
def _load_seed(
conn: psycopg.Connection[Any],
*,
thread_id: str,
checkpoint_ns: str,
channel: str,
checkpoint_id: str,
channel_values: dict[str, Any],
channel_versions: dict[str, str],
) -> dict[str, Any]:
cv = channel_values[channel]
version = channel_versions.get(channel)
if cv is True:
blob_row = conn.execute(
"""
SELECT type, blob
FROM checkpoint_blobs
WHERE thread_id = %s AND checkpoint_ns = %s
AND channel = %s AND version = %s
""",
(thread_id, checkpoint_ns, channel, version),
).fetchone()
seed_value = None
if blob_row is not None and blob_row[0] != "empty":
seed_value = delta_unwrap(decode_blob(blob_row[0], blob_row[1]))
return {
"delta_kind": "snapshot",
"seed_checkpoint_id": checkpoint_id,
"seed_version": version,
"seed": seed_value,
}
if isinstance(cv, (int, float, str, bool)) or cv is None:
return {
"delta_kind": "legacy_plain",
"seed_checkpoint_id": checkpoint_id,
"seed_version": version,
"seed": cv,
}
blob_row = conn.execute(
"""
SELECT type, blob
FROM checkpoint_blobs
WHERE thread_id = %s AND checkpoint_ns = %s
AND channel = %s AND version = %s
""",
(thread_id, checkpoint_ns, channel, version),
).fetchone()
seed_value = cv if blob_row is None else decode_blob(blob_row[0], blob_row[1])
return {
"delta_kind": "legacy_plain",
"seed_checkpoint_id": checkpoint_id,
"seed_version": version,
"seed": seed_value,
}
def _load_writes_for_checkpoint(
conn: psycopg.Connection[Any],
*,
thread_id: str,
checkpoint_ns: str,
checkpoint_id: str,
channel: str,
) -> list[dict[str, Any]]:
"""Load writes for one checkpoint, newest-first by ``(task_id, idx)``.
``walk_channel`` reverses the accumulated flat list before returning;
DESC here yields oldest-first within each checkpoint in the final output,
matching ``PostgresSaver._build_delta_channels_writes_history``.
"""
rows = conn.execute(
"""
SELECT task_id::text, idx, type, blob
FROM checkpoint_writes
WHERE thread_id = %s AND checkpoint_ns = %s
AND checkpoint_id = %s AND channel = %s
ORDER BY task_id DESC, idx DESC
""",
(thread_id, checkpoint_ns, checkpoint_id, channel),
).fetchall()
return [
{
"checkpoint_id": checkpoint_id,
"task_id": task_id,
"idx": idx,
"value": decode_blob(blob_type, blob_bytes),
}
for task_id, idx, blob_type, blob_bytes in rows
]
def walk_channel(
conn: psycopg.Connection[Any],
*,
thread_id: str,
checkpoint_ns: str,
start_checkpoint_id: str | None,
channel: str,
) -> dict[str, Any]:
"""Walk one channel's parent chain from target.parent backward to seed."""
chain_writes_newest_first: list[dict[str, Any]] = []
cur = start_checkpoint_id
while cur is not None:
loaded = _load_checkpoint(conn, thread_id, checkpoint_ns, cur)
if loaded is None:
break
checkpoint_json, parent_id = loaded
channel_values = checkpoint_json.get("channel_values") or {}
channel_versions = checkpoint_json.get("channel_versions") or {}
chain_writes_newest_first.extend(
_load_writes_for_checkpoint(
conn,
thread_id=thread_id,
checkpoint_ns=checkpoint_ns,
checkpoint_id=cur,
channel=channel,
)
)
if channel in channel_values:
seed = _load_seed(
conn,
thread_id=thread_id,
checkpoint_ns=checkpoint_ns,
channel=channel,
checkpoint_id=cur,
channel_values=channel_values,
channel_versions=channel_versions,
)
seed["writes"] = list(reversed(chain_writes_newest_first))
return seed
cur = parent_id
return {
"delta_kind": "no_seed",
"seed_checkpoint_id": None,
"seed_version": None,
"seed": None,
"writes": list(reversed(chain_writes_newest_first)),
}
def walk_parent_chain(
conn: psycopg.Connection[Any],
*,
thread_id: str,
checkpoint_ns: str,
target_checkpoint_id: str,
channels: list[str],
) -> tuple[str | None, dict[str, dict[str, Any]]]:
"""Walk parent chain and return per-channel seed + writes (oldest-first)."""
parent_row = conn.execute(
"""
SELECT parent_checkpoint_id::text
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s AND checkpoint_id = %s
""",
(thread_id, checkpoint_ns, target_checkpoint_id),
).fetchone()
if parent_row is None:
raise SystemExit(
f"Checkpoint {target_checkpoint_id!r} not found for thread {thread_id!r}"
)
parent_checkpoint_id = parent_row[0]
result = {
ch: walk_channel(
conn,
thread_id=thread_id,
checkpoint_ns=checkpoint_ns,
start_checkpoint_id=parent_checkpoint_id,
channel=ch,
)
for ch in channels
}
return parent_checkpoint_id, result
def build_output(
*,
thread_id: str,
checkpoint_ns: str,
target_checkpoint_id: str,
parent_checkpoint_id: str | None,
channels: dict[str, dict[str, Any]],
) -> dict[str, Any]:
return {
"thread_id": thread_id,
"checkpoint_ns": checkpoint_ns,
"target_checkpoint_id": target_checkpoint_id,
"parent_checkpoint_id": parent_checkpoint_id,
"channels": channels,
}
def parse_args(argv: list[str] | None = None) -> argparse.Namespace:
parser = argparse.ArgumentParser(
description=(
"Recover delta-channel seed + writes from Postgres checkpoint data."
),
)
parser.add_argument("--thread-id", required=True, help="Thread UUID")
parser.add_argument(
"--channel",
action="append",
required=True,
dest="channels",
help="Channel name (repeatable)",
)
parser.add_argument(
"--checkpoint-id",
default=None,
help="Target checkpoint UUID (default: latest for thread)",
)
parser.add_argument(
"--checkpoint-ns",
default="",
help='Checkpoint namespace (default: "")',
)
parser.add_argument(
"--database-uri",
default=os.environ.get("DATABASE_URI"),
help="Postgres URI (default: DATABASE_URI env var)",
)
parser.add_argument(
"--output",
default="-",
help="Output JSON file path (default: stdout)",
)
return parser.parse_args(argv)
def main(argv: list[str] | None = None) -> int:
args = parse_args(argv)
if not args.database_uri:
print(
"error: --database-uri or DATABASE_URI is required",
file=sys.stderr,
)
return 2
thread_id = str(uuid.UUID(args.thread_id))
channels = list(dict.fromkeys(args.channels))
with psycopg.connect(args.database_uri) as conn:
target_checkpoint_id = resolve_target_checkpoint_id(
conn,
thread_id,
args.checkpoint_ns,
args.checkpoint_id,
)
parent_checkpoint_id, channel_data = walk_parent_chain(
conn,
thread_id=thread_id,
checkpoint_ns=args.checkpoint_ns,
target_checkpoint_id=target_checkpoint_id,
channels=channels,
)
output = build_output(
thread_id=thread_id,
checkpoint_ns=args.checkpoint_ns,
target_checkpoint_id=target_checkpoint_id,
parent_checkpoint_id=parent_checkpoint_id,
channels=channel_data,
)
payload = json.dumps(output, indent=2, default=json_default)
if args.output == "-":
print(payload)
else:
with open(args.output, "w", encoding="utf-8") as f:
f.write(payload)
f.write("\n")
return 0
if __name__ == "__main__":
raise SystemExit(main())
+5 -27
View File
@@ -1,27 +1,15 @@
# LangGraph Checkpoint Conformance
# langgraph-checkpoint-conformance
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-conformance?label=%20)](https://pypi.org/project/langgraph-checkpoint-conformance/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-conformance)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-conformance)](https://pypistats.org/packages/langgraph-checkpoint-conformance)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
Conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations.
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
Validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
## Quick Install
## Installation
```bash
uv add langgraph-checkpoint-conformance
pip install langgraph-checkpoint-conformance
```
## 🤔 What is this?
This library provides a conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations. It validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph/). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
## Quick start
Register your checkpointer with `@checkpointer_test` and run `validate()`:
@@ -122,13 +110,3 @@ async def pg_checkpointer():
async with PostgresSaver.from_conn_string(CONN_STRING) as saver:
yield saver
```
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -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 = [
+58 -128
View File
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version = "4.1.1"
version = "4.1.0a4"
source = { editable = "../checkpoint" }
dependencies = [
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@@ -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 = [
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{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -370,7 +370,7 @@ test = [
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version = "0.8.2"
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]
[[package]]
name = "xxhash"
version = "3.7.0"
+5 -2
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)
+3 -33
View File
@@ -1,28 +1,10 @@
# LangGraph Checkpoint Postgres
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-postgres?label=%20)](https://pypi.org/project/langgraph-checkpoint-postgres/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-postgres)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-postgres)](https://pypistats.org/packages/langgraph-checkpoint-postgres)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
Implementation of LangGraph CheckpointSaver that uses Postgres.
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
## Dependencies
## Quick Install
```bash
uv add langgraph-checkpoint-postgres
```
## 🤔 What is this?
This library provides a Postgres implementation of LangGraph's checkpoint saver. Use it when you want LangGraph state persistence backed by Postgres for durable, long-running workflows and agents.
By default, `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. You can choose a specific installation that best suits your needs in the [Psycopg installation docs](https://www.psycopg.org/psycopg3/docs/basic/install.html), for example `psycopg[binary]`.
## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint.postgres). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).
## Security
@@ -38,12 +20,10 @@ For full documentation, see the [API reference](https://reference.langchain.com/
> When manually creating Postgres connections and passing them to `PostgresSaver` or `AsyncPostgresSaver`, make sure to include `autocommit=True` and `row_factory=dict_row` (`from psycopg.rows import dict_row`). See a full example in this [how-to guide](https://langchain-ai.github.io/langgraph/how-tos/persistence_postgres/).
>
> **Why these parameters are required:**
>
> - `autocommit=True`: Required for the `.setup()` method to properly commit the checkpoint tables to the database. Without this, table creation may not be persisted.
> - `row_factory=dict_row`: Required because the PostgresSaver implementation accesses database rows using dictionary-style syntax (e.g., `row["column_name"]`). The default `tuple_row` factory returns tuples that only support index-based access (e.g., `row[0]`), which will cause `TypeError` exceptions when the checkpointer tries to access columns by name.
>
> **Example of incorrect usage:**
>
> ```python
> # ❌ This will fail with TypeError during checkpointer operations
> with psycopg.connect(DB_URI) as conn: # Missing autocommit=True and row_factory=dict_row
@@ -138,13 +118,3 @@ async with AsyncPostgresSaver.from_conn_string(DB_URI) as checkpointer:
# list checkpoints
[c async for c in checkpointer.alist(read_config)]
```
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -238,12 +238,6 @@ class BasePostgresStore(Generic[C]):
conn: C
_deserializer: Callable[[bytes | orjson.Fragment], dict[str, Any]] | None
index_config: PostgresIndexConfig | None
ttl_config: TTLConfig | None
@property
def _omit_expired(self) -> bool:
"""Whether expired-but-unswept rows should be filtered from reads."""
return bool(self.ttl_config and self.ttl_config.get("omit_expired"))
def _get_batch_GET_ops_queries(
self,
@@ -264,17 +258,12 @@ class BasePostgresStore(Generic[C]):
namespace_groups[op.namespace].append((idx, op.key))
refresh_ttls[op.namespace].append(op.refresh_ttl)
omit_expired = self._omit_expired
expiry_clause = (
"AND (s.expires_at IS NULL OR s.expires_at > NOW())" if omit_expired else ""
)
results = []
for namespace, items in namespace_groups.items():
_, keys = zip(*items, strict=False)
this_refresh_ttls = refresh_ttls[namespace]
query = f"""
query = """
WITH passed_in AS (
SELECT unnest(%s::text[]) AS key,
unnest(%s::bool[]) AS do_refresh
@@ -287,14 +276,12 @@ class BasePostgresStore(Generic[C]):
AND s.key = p.key
AND p.do_refresh = TRUE
AND s.ttl_minutes IS NOT NULL
{expiry_clause}
RETURNING s.key
)
SELECT s.key, s.value, s.created_at, s.updated_at
FROM store s
JOIN passed_in p ON s.key = p.key
WHERE s.prefix = %s
{expiry_clause}
"""
ns_text = _namespace_to_text(namespace)
params = (
@@ -435,13 +422,6 @@ class BasePostgresStore(Generic[C]):
- embedding_requests: list of (original_index_in_search_ops, text_query)
"""
omit_expired = self._omit_expired
search_expiry_clause = (
"AND (store.expires_at IS NULL OR store.expires_at > NOW())"
if omit_expired
else ""
)
queries = []
embedding_requests = []
for idx, (_, op) in enumerate(search_ops):
@@ -511,7 +491,7 @@ class BasePostgresStore(Generic[C]):
{score_operator} AS neg_score
FROM store
JOIN store_vectors sv ON store.prefix = sv.prefix AND store.key = sv.key
WHERE {ns_condition} {extra_filters} {search_expiry_clause}
WHERE {ns_condition} {extra_filters}
ORDER BY {score_operator} ASC
LIMIT %s
"""
@@ -547,7 +527,7 @@ class BasePostgresStore(Generic[C]):
base_query = f"""
SELECT store.prefix, store.key, store.value, store.created_at, store.updated_at, NULL AS score
FROM store
WHERE {ns_condition} {extra_filters} {search_expiry_clause}
WHERE {ns_condition} {extra_filters}
ORDER BY store.updated_at DESC
LIMIT %s
OFFSET %s
@@ -611,10 +591,7 @@ class BasePostgresStore(Generic[C]):
"""
params: list[Any] = [op.max_depth, op.max_depth]
omit_expired = self._omit_expired
conditions = []
if omit_expired:
conditions.append("(expires_at IS NULL OR expires_at > NOW())")
if op.match_conditions:
for condition in op.match_conditions:
if condition.match_type == "prefix":
+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]
# 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"
[tool.pytest-watcher]
now = true
@@ -739,135 +739,3 @@ async def test_store_ttl(store):
# Now has been (TTL_SECONDS-2)*2 > TTL_SECONDS + TTL_SECONDS/2
results = await store.asearch(ns, query="bar", refresh_ttl=False)
assert len(results) == 0
async def _aexpire_now(
store: AsyncPostgresStore, ns: tuple[str, ...], key: str
) -> None:
"""Backdate a row's expires_at into the past without deleting it (unswept)."""
async with store._cursor() as cur:
await cur.execute(
"UPDATE store SET expires_at = NOW() - INTERVAL '1 minute' "
"WHERE prefix = %s AND key = %s",
(".".join(ns), key),
)
async def _arow_exists(
store: AsyncPostgresStore, ns: tuple[str, ...], key: str
) -> bool:
async with store._cursor() as cur:
await cur.execute(
"SELECT COUNT(*) AS n FROM store WHERE prefix = %s AND key = %s",
(".".join(ns), key),
)
return (await cur.fetchone())["n"] == 1
async def _astored_expires_at(store: AsyncPostgresStore, ns: tuple[str, ...], key: str):
async with store._cursor() as cur:
await cur.execute(
"SELECT expires_at FROM store WHERE prefix = %s AND key = %s",
(".".join(ns), key),
)
return (await cur.fetchone())["expires_at"]
async def test_omit_expired_filters_read_paths(store: AsyncPostgresStore) -> None:
await store.stop_ttl_sweeper() # deterministic: no background deletion
store.ttl_config["omit_expired"] = True
expired_ns = ("omit", "expired")
control_ns = ("omit", "control")
await store.aput(expired_ns, "e", {"data": "gone"}, ttl=TTL_MINUTES)
await store.aput(control_ns, "c", {"data": "keep"}, ttl=None)
await _aexpire_now(store, expired_ns, "e")
# The row is expired but physically still present (unswept).
assert await _arow_exists(store, expired_ns, "e")
# aget omits it; the never-expiring control is still returned.
assert await store.aget(expired_ns, "e") is None
assert await store.aget(control_ns, "c") is not None
# asearch omits it but returns the control.
assert await store.asearch(expired_ns) == []
assert [i.key for i in await store.asearch(control_ns)] == ["c"]
# alist_namespaces drops the expired-only namespace, keeps the control.
namespaces = await store.alist_namespaces(prefix=("omit",))
assert expired_ns not in namespaces
assert control_ns in namespaces
@pytest.mark.parametrize("omit", [None, False], ids=["default", "explicit-false"])
async def test_omit_expired_disabled_preserves_expired_rows(
store: AsyncPostgresStore, omit
) -> None:
await store.stop_ttl_sweeper()
if omit is not None:
store.ttl_config["omit_expired"] = omit
ns = ("keep",)
await store.aput(ns, "k", {"data": "still-here"}, ttl=TTL_MINUTES)
await _aexpire_now(store, ns, "k")
assert await store.aget(ns, "k", refresh_ttl=False) is not None
assert [i.key for i in await store.asearch(ns, refresh_ttl=False)] == ["k"]
assert ns in await store.alist_namespaces(prefix=("keep",))
async def test_omit_expired_refresh_ttl_only_refreshes_live_rows(
store: AsyncPostgresStore,
) -> None:
await store.stop_ttl_sweeper()
store.ttl_config["omit_expired"] = True
ns = ("refresh",)
await store.aput(ns, "expired", {"n": 0}, ttl=TTL_MINUTES)
await store.aput(ns, "live_get", {"n": 1}, ttl=TTL_MINUTES)
await store.aput(ns, "live_search", {"n": 2}, ttl=TTL_MINUTES)
await _aexpire_now(store, ns, "expired")
expired_before = await _astored_expires_at(store, ns, "expired")
get_before = await _astored_expires_at(store, ns, "live_get")
search_before = await _astored_expires_at(store, ns, "live_search")
# refresh_ttl=True must NOT resurrect the expired row (via aget or asearch)...
assert await store.aget(ns, "expired", refresh_ttl=True) is None
live_keys = [i.key for i in await store.asearch(ns, refresh_ttl=True)]
assert "expired" not in live_keys
assert await _astored_expires_at(store, ns, "expired") == expired_before
# ...but must still extend the live rows that were read.
assert await store.aget(ns, "live_get", refresh_ttl=True) is not None
assert await _astored_expires_at(store, ns, "live_get") > get_before
assert await _astored_expires_at(store, ns, "live_search") > search_before
async def test_omit_expired_search_pagination(store: AsyncPostgresStore) -> None:
await store.stop_ttl_sweeper()
store.ttl_config["omit_expired"] = True
ns = ("page",)
for k in ("a", "b", "c"):
await store.aput(ns, k, {"k": k}, ttl=TTL_MINUTES)
await store.aput(ns, "expired", {"k": "x"}, ttl=TTL_MINUTES)
await _aexpire_now(store, ns, "expired")
seconds_ago = {"a": 1, "expired": 2, "b": 3, "c": 4}
# updated_at DESC orders these a, expired, b, c, so the expired row sits inside
# the first limit=2 window. Correct (pre-LIMIT) filtering yields live pages
# [a, b] then [c]; post-LIMIT filtering would underfill page 1 to just [a].
async with store._cursor() as cur:
for key, secs in seconds_ago.items():
await cur.execute(
"UPDATE store SET updated_at = NOW() - (%s * INTERVAL '1 second') "
"WHERE prefix = %s AND key = %s",
(secs, ".".join(ns), key),
)
page1 = await store.asearch(ns, limit=2, offset=0)
page2 = await store.asearch(ns, limit=2, offset=2)
assert [i.key for i in page1] == ["a", "b"]
assert [i.key for i in page2] == ["c"]
@@ -863,133 +863,6 @@ def test_store_ttl(store):
assert len(res) == 0
def _expire_now(store: PostgresStore, ns: tuple[str, ...], key: str) -> None:
"""Backdate a row's expires_at into the past without deleting it (unswept)."""
with store._cursor() as cur:
cur.execute(
"UPDATE store SET expires_at = NOW() - INTERVAL '1 minute' "
"WHERE prefix = %s AND key = %s",
(".".join(ns), key),
)
def _row_exists(store: PostgresStore, ns: tuple[str, ...], key: str) -> bool:
with store._cursor() as cur:
cur.execute(
"SELECT COUNT(*) AS n FROM store WHERE prefix = %s AND key = %s",
(".".join(ns), key),
)
return cur.fetchone()["n"] == 1
def _stored_expires_at(store: PostgresStore, ns: tuple[str, ...], key: str):
with store._cursor() as cur:
cur.execute(
"SELECT expires_at FROM store WHERE prefix = %s AND key = %s",
(".".join(ns), key),
)
return cur.fetchone()["expires_at"]
def test_omit_expired_filters_read_paths(store: PostgresStore) -> None:
store.stop_ttl_sweeper() # deterministic: no background deletion
store.ttl_config["omit_expired"] = True
expired_ns = ("omit", "expired")
control_ns = ("omit", "control")
store.put(expired_ns, "e", {"data": "gone"}, ttl=TTL_MINUTES)
store.put(control_ns, "c", {"data": "keep"}, ttl=None)
_expire_now(store, expired_ns, "e")
# The row is expired but physically still present (unswept).
assert _row_exists(store, expired_ns, "e")
# get omits it; the never-expiring control is still returned.
assert store.get(expired_ns, "e") is None
assert store.get(control_ns, "c") is not None
# search omits it but returns the control.
assert store.search(expired_ns) == []
assert [i.key for i in store.search(control_ns)] == ["c"]
# list_namespaces drops the expired-only namespace, keeps the control.
namespaces = store.list_namespaces(prefix=("omit",))
assert expired_ns not in namespaces
assert control_ns in namespaces
@pytest.mark.parametrize("omit", [None, False], ids=["default", "explicit-false"])
def test_omit_expired_disabled_preserves_expired_rows(
store: PostgresStore, omit
) -> None:
store.stop_ttl_sweeper()
if omit is not None:
store.ttl_config["omit_expired"] = omit
ns = ("keep",)
store.put(ns, "k", {"data": "still-here"}, ttl=TTL_MINUTES)
_expire_now(store, ns, "k")
assert store.get(ns, "k", refresh_ttl=False) is not None
assert [i.key for i in store.search(ns, refresh_ttl=False)] == ["k"]
assert ns in store.list_namespaces(prefix=("keep",))
def test_omit_expired_refresh_ttl_only_refreshes_live_rows(
store: PostgresStore,
) -> None:
store.stop_ttl_sweeper()
store.ttl_config["omit_expired"] = True
ns = ("refresh",)
store.put(ns, "expired", {"n": 0}, ttl=TTL_MINUTES)
store.put(ns, "live_get", {"n": 1}, ttl=TTL_MINUTES)
store.put(ns, "live_search", {"n": 2}, ttl=TTL_MINUTES)
_expire_now(store, ns, "expired")
expired_before = _stored_expires_at(store, ns, "expired")
get_before = _stored_expires_at(store, ns, "live_get")
search_before = _stored_expires_at(store, ns, "live_search")
# refresh_ttl=True must NOT resurrect the expired row (via get or search)...
assert store.get(ns, "expired", refresh_ttl=True) is None
assert "expired" not in [i.key for i in store.search(ns, refresh_ttl=True)]
assert _stored_expires_at(store, ns, "expired") == expired_before
# ...but must still extend the live rows that were read.
assert store.get(ns, "live_get", refresh_ttl=True) is not None
assert _stored_expires_at(store, ns, "live_get") > get_before
assert _stored_expires_at(store, ns, "live_search") > search_before
def test_omit_expired_search_pagination(store: PostgresStore) -> None:
store.stop_ttl_sweeper()
store.ttl_config["omit_expired"] = True
ns = ("page",)
for k in ("a", "b", "c"):
store.put(ns, k, {"k": k}, ttl=TTL_MINUTES)
store.put(ns, "expired", {"k": "x"}, ttl=TTL_MINUTES)
_expire_now(store, ns, "expired")
seconds_ago = {"a": 1, "expired": 2, "b": 3, "c": 4}
# updated_at DESC orders these a, expired, b, c, so the expired row sits inside
# the first limit=2 window. Correct (pre-LIMIT) filtering yields live pages
# [a, b] then [c]; post-LIMIT filtering would underfill page 1 to just [a].
with store._cursor() as cur:
for key, secs in seconds_ago.items():
cur.execute(
"UPDATE store SET updated_at = NOW() - (%s * INTERVAL '1 second') "
"WHERE prefix = %s AND key = %s",
(secs, ".".join(ns), key),
)
page1 = store.search(ns, limit=2, offset=0)
page2 = store.search(ns, limit=2, offset=2)
assert [i.key for i in page1] == ["a", "b"]
assert [i.key for i in page2] == ["c"]
@pytest.mark.parametrize(
"vector_type,distance_type",
[
+398 -332
View File
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[[package]]
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version = "3.11"
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@@ -244,7 +244,7 @@ wheels = [
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name = "langchain-core"
version = "1.4.8"
version = "1.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -257,26 +257,26 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
name = "langgraph-checkpoint"
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" },
]
test = [
{ name = "dataclasses-json" },
@@ -324,7 +324,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
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" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
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@@ -374,18 +374,18 @@ dev = [
{ name = "anyio" },
{ name = "codespell" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "mypy" },
{ name = "psycopg", extras = ["binary"] },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
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{ name = "ty" },
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{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
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{ name = "websockets" },
{ name = "xxhash" },
{ name = "zstandard" },
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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)
+1 -31
View File
@@ -1,26 +1,6 @@
# LangGraph SQLite Checkpoint
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-sqlite?label=%20)](https://pypi.org/project/langgraph-checkpoint-sqlite/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-sqlite)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-sqlite)](https://pypistats.org/packages/langgraph-checkpoint-sqlite)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
## Quick Install
```bash
uv add langgraph-checkpoint-sqlite
```
## 🤔 What is this?
This library provides a SQLite implementation of LangGraph's checkpoint saver, with both sync and async support via `aiosqlite`. Use it when you want LangGraph state persistence backed by SQLite for local development, testing, or lightweight deployments.
## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint.sqlite). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
## Security
@@ -111,13 +91,3 @@ async with AsyncSqliteSaver.from_conn_string(":memory:") as checkpointer:
# list checkpoints
[c async for c in checkpointer.alist(read_config)]
```
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
+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"
@@ -12,7 +12,7 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langgraph-checkpoint>=4.1.0a4,<5.0.0",
"aiosqlite>=0.20",
"sqlite-vec>=0.1.6",
]
@@ -35,7 +35,7 @@ test = [
lint = [
"ruff",
"codespell",
"ty",
"mypy",
]
dev = [
{include-group = "test"},
@@ -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
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[[package]]
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source = { editable = "../checkpoint" }
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@@ -302,6 +289,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -312,12 +300,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -333,7 +320,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-sqlite"
version = "3.1.0"
version = "3.1.0a1"
source = { editable = "." }
dependencies = [
{ name = "aiosqlite" },
@@ -345,18 +332,18 @@ dependencies = [
dev = [
{ 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" },
]
lint = [
{ 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" },
]
test = [
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
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[[package]]
name = "xxhash"
version = "3.6.0"
+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)
+2 -32
View File
@@ -1,26 +1,6 @@
# LangGraph Checkpoint
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint?label=%20)](https://pypi.org/project/langgraph-checkpoint/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint)](https://pypistats.org/packages/langgraph-checkpoint)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
## Quick Install
```bash
uv add langgraph-checkpoint
```
## 🤔 What is this?
This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph: they save graph state at every superstep, enabling human-in-the-loop, memory between interactions, durable execution, and more.
## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph. They allow you to interact with and manage the graph's state. When you use a graph with a checkpointer, the checkpointer saves a _checkpoint_ of the graph state at every superstep, enabling several powerful capabilities like human-in-the-loop, "memory" between interactions and more.
## Key concepts
@@ -44,7 +24,7 @@ You must pass these when invoking the graph as part of the configurable part of
### Serde
`langgraph-checkpoint` also defines protocol for serialization/deserialization (serde) and provides a default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
> [!IMPORTANT]
> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
@@ -109,13 +89,3 @@ checkpointer.get(read_config)
# list checkpoints
list(checkpointer.list(read_config))
```
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -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"
@@ -552,14 +552,6 @@ class TTLConfig(TypedDict, total=False):
This can be overridden per-operation by explicitly setting `refresh_ttl`.
Defaults to `True` if not configured.
"""
omit_expired: bool
"""Whether to omit expired items from read operations.
If `True`, and if the store supports this option, expired items will not be
returned by `GET` or `SEARCH`, or included in namespace listings, even before
a TTL sweep deletes them.
Defaults to `False` if not configured.
"""
default_ttl: float | None
"""Default TTL (time-to-live) in minutes for new items.
+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
+200 -142
View File
@@ -229,11 +229,11 @@ wheels = [
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[[package]]
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version = "1.4.8"
version = "1.3.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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{ name = "uuid-utils" },
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[[package]]
name = "langgraph-checkpoint"
version = "4.1.1"
version = "4.1.0a4"
source = { editable = "." }
dependencies = [
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@@ -311,6 +311,7 @@ dependencies = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
{ name = "numpy", version = "2.4.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
{ name = "pandas" },
@@ -322,12 +323,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -352,6 +352,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -362,12 +363,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
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version = "0.8.18"
version = "0.7.31"
source = { registry = "https://pypi.org/simple" }
dependencies = [
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[[package]]
name = "xxhash"
version = "3.6.0"
+4 -2
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)
+29 -60
View File
@@ -1,47 +1,29 @@
# LangGraph CLI
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-cli?label=%20)](https://pypi.org/project/langgraph-cli/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph-cli)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-cli)](https://pypistats.org/packages/langgraph-cli)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
The official command-line interface for LangGraph, providing tools to create, develop, and deploy LangGraph applications.
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
## Quick Install
## Installation
Install via pip:
```bash
uv add langgraph-cli
pip install langgraph-cli
```
## 🤔 What is this?
The LangGraph CLI is the official command-line interface for LangGraph. It provides tools to create, develop, build, and run LangGraph applications locally or in Docker.
## 📖 Documentation
For full documentation, see the [LangGraph CLI reference](https://reference.langchain.com/python/langgraph-cli). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
For development mode with hot reloading:
```bash
uv add "langgraph-cli[inmem]"
pip install "langgraph-cli[inmem]"
```
## Commands
### `langgraph new` 🌱
Create a new LangGraph project from a template.
Create a new LangGraph project from a template
```bash
langgraph new [PATH] --template TEMPLATE_NAME
```
### `langgraph dev` 🏃‍♀️
Run LangGraph API server in development mode with hot reloading.
Run LangGraph API server in development mode with hot reloading
```bash
langgraph dev [OPTIONS]
--host TEXT Host to bind to (default: 127.0.0.1)
@@ -53,9 +35,7 @@ langgraph dev [OPTIONS]
```
### `langgraph up` 🚀
Launch LangGraph API server in Docker.
Launch LangGraph API server in Docker
```bash
langgraph up [OPTIONS]
-p, --port INTEGER Port to expose (default: 8123)
@@ -67,9 +47,7 @@ langgraph up [OPTIONS]
```
### `langgraph build`
Build a Docker image for your LangGraph application.
Build a Docker image for your LangGraph application
```bash
langgraph build -t IMAGE_TAG [OPTIONS]
--platform TEXT Target platforms (e.g., linux/amd64,linux/arm64)
@@ -78,9 +56,7 @@ langgraph build -t IMAGE_TAG [OPTIONS]
```
### `langgraph dockerfile`
Generate a Dockerfile for custom deployments.
Generate a Dockerfile for custom deployments
```bash
langgraph dockerfile SAVE_PATH [OPTIONS]
-c, --config FILE Config file path
@@ -92,18 +68,18 @@ The CLI uses a `langgraph.json` configuration file with these key settings:
```json
{
"dependencies": ["langchain_openai", "./your_package"],
"dependencies": ["langchain_openai", "./your_package"], // Required: Package dependencies
"graphs": {
"my_graph": "./your_package/file.py:graph"
"my_graph": "./your_package/file.py:graph" // Required: Graph definitions
},
"env": "./.env",
"python_version": "3.11",
"pip_config_file": "./pip.conf",
"dockerfile_lines": []
"env": "./.env", // Optional: Environment variables
"python_version": "3.11", // Optional: Python version (3.11/3.12)
"pip_config_file": "./pip.conf", // Optional: pip configuration
"dockerfile_lines": [] // Optional: Additional Dockerfile commands
}
```
See the [full documentation](https://reference.langchain.com/python/langgraph-cli) for detailed configuration options.
See the [full documentation](https://langchain-ai.github.io/langgraph/cloud/reference/cli/) for detailed configuration options.
## Development
@@ -111,26 +87,19 @@ To develop the CLI itself:
1. Clone the repository
2. Navigate to the CLI directory: `cd libs/cli`
3. Install development dependencies: `uv sync`
3. Install development dependencies: `uv pip install`
4. Make your changes to the CLI code
5. Test your changes:
```bash
# Run CLI commands directly
uv run langgraph --help
# Or use the examples
cd examples
uv pip install
uv run langgraph dev # or other commands
```
```bash
# Run CLI commands directly
uv run langgraph --help
## License
# Or use the examples
cd examples
uv sync
uv run langgraph dev # or other commands
```
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
This project is licensed under the terms specified in the repository's LICENSE file.
@@ -6,7 +6,7 @@ readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.1.14",
"langchain-anthropic==1.4.6",
"langchain-anthropic==1.0.0a5",
"langgraph==1.1.5"
]
+1 -1
View File
@@ -236,7 +236,7 @@ def swap_roles(state: InterviewState, name: str):
converted = []
for message in state["messages"]:
if isinstance(message, AIMessage) and message.name != name:
message = HumanMessage(**message.model_dump(exclude={"type"}))
message = HumanMessage(**message.dict(exclude={"type"}))
converted.append(message)
return {"messages": converted}
+1 -5
View File
@@ -10,7 +10,7 @@ This template demonstrates a simple chatbot implemented using [LangGraph.js](htt
The core logic, defined in `src/agent/graph.ts`, showcases a straightforward chatbot that responds to user queries while maintaining context from previous messages.
## 🤔 What is this?
## What it does
The simple chatbot:
@@ -20,10 +20,6 @@ The simple chatbot:
This template provides a foundation that can be easily customized and extended to create more complex conversational agents.
## 📖 Documentation
For JavaScript and TypeScript documentation, see the [LangGraph.js docs](https://docs.langchain.com/oss/javascript/langgraph/overview). LangGraph Studio also integrates with [LangSmith](https://smith.langchain.com/) for tracing and collaboration with teammates.
## Getting Started
Assuming you have already [installed LangGraph Studio](https://github.com/langchain-ai/langgraph-studio?tab=readme-ov-file#download), to set up:
+10 -13
View File
@@ -21,28 +21,25 @@
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
},
"dependencies": {
"@langchain/core": "^1.2.1",
"@langchain/langgraph": "^1.4.7"
},
"resolutions": {
"@langchain/langgraph-checkpoint": "1.0.4"
"@langchain/core": "^1.1.42",
"@langchain/langgraph": "^1.2.9"
},
"devDependencies": {
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"@eslint/js": "^10.0.1",
"@tsconfig/recommended": "^1.0.13",
"@types/jest": "^30.0.0",
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"@typescript-eslint/parser": "^8.59.1",
"dotenv": "^17.4.2",
"eslint": "^10.6.0",
"eslint": "^10.2.1",
"eslint-config-prettier": "^10.1.8",
"eslint-plugin-import": "^2.32.0",
"eslint-plugin-no-instanceof": "^1.0.1",
"eslint-plugin-prettier": "^5.5.6",
"jest": "^30.4.2",
"prettier": "^3.9.4",
"ts-jest": "^29.4.11",
"typescript": "^6.0.3"
"eslint-plugin-prettier": "^5.5.5",
"jest": "^30.3.0",
"prettier": "^3.8.3",
"ts-jest": "^29.4.9",
"typescript": "^5.9.3"
}
}
File diff suppressed because it is too large Load Diff
@@ -9,10 +9,10 @@
},
"dependencies": {
"@js-monorepo-example/shared": "*",
"@langchain/core": "^1.2.1",
"@langchain/langgraph": "^1.4.7"
"@langchain/core": "^1.1.42",
"@langchain/langgraph": "^1.2.9"
},
"devDependencies": {
"typescript": "^6.0.3"
"typescript": "^5.9.3"
}
}
@@ -9,6 +9,6 @@
"clean": "rm -rf dist"
},
"devDependencies": {
"typescript": "^6.0.3"
"typescript": "^5.9.3"
}
}
+7 -7
View File
@@ -17,18 +17,18 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
"devDependencies": {
"turbo": "^2.10.2",
"typescript": "^6.0.3",
"turbo": "^2.9.7",
"typescript": "^5.9.3",
"@tsconfig/recommended": "^1.0.13",
"@eslint/eslintrc": "^3.3.5",
"@eslint/js": "^10.0.1",
"eslint": "^10.6.0",
"eslint": "^10.2.1",
"eslint-config-prettier": "^10.1.8",
"eslint-plugin-import": "^2.27.5",
"eslint-plugin-no-instanceof": "^1.0.1",
"eslint-plugin-prettier": "^5.5.6",
"@typescript-eslint/eslint-plugin": "^8.62.1",
"@typescript-eslint/parser": "^8.62.1",
"prettier": "^3.9.4"
"eslint-plugin-prettier": "^5.5.5",
"@typescript-eslint/eslint-plugin": "^8.59.1",
"@typescript-eslint/parser": "^8.59.1",
"prettier": "^3.8.3"
}
}
+1 -1
View File
@@ -3,7 +3,7 @@
"compilerOptions": {
"target": "ES2022",
"module": "ESNext",
"moduleResolution": "bundler",
"moduleResolution": "node",
"allowSyntheticDefaultImports": true,
"esModuleInterop": true,
"skipLibCheck": true,
+191 -165
View File
@@ -28,10 +28,10 @@
debug "^4.3.1"
minimatch "^10.2.4"
"@eslint/config-helpers@^0.6.0":
version "0.6.0"
resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.6.0.tgz#ef9a36881d39dfd5dbeac22b0da997fabfb08b03"
integrity sha512-ii6Bw9jJ2zi2cWA2Z+9/QZ/+3DX6kwaV5Q986D/CdP3Lap3w/pgQZ373FV7byY/i7L4IRH/G43I5dz1ClsCbpA==
"@eslint/config-helpers@^0.5.5":
version "0.5.5"
resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.5.tgz#ae16134e4792ac5fbdc533548a24ac1ea9f7f3ae"
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dependencies:
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@@ -67,10 +67,10 @@
resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.5.tgz#88e9bf4d11d2b19c082e78ebe7ce88724a5eb091"
integrity sha512-vqTaUEgxzm+YDSdElad6PiRoX4t8VGDjCtt05zn4nU810UIx/uNEV7/lZJ6KwFThKZOzOxzXy48da+No7HZaMw==
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dependencies:
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levn "^0.4.1"
@@ -103,53 +103,53 @@
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dependencies:
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"@standard-schema/spec" "^1.1.0"
ansi-styles "^5.0.0"
camelcase "6"
decamelize "1.2.0"
js-tiktoken "^1.0.12"
langsmith ">=0.5.0 <1.0.0"
mustache "^4.2.0"
p-queue "^6.6.2"
zod "^3.25.76 || ^4"
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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" "8.62.1"
"@typescript-eslint/types" "8.59.1"
eslint-visitor-keys "^5.0.0"
acorn-jsx@^5.3.2:
@@ -337,6 +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"
@@ -485,6 +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"
@@ -540,6 +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"
@@ -738,13 +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"
@@ -771,17 +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@^10.6.0:
version "10.6.0"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.6.0.tgz#e1b4059c582be950c7088c9b55f984738b243c27"
integrity sha512-6lVbcqSodALYo+4ELD0heG6lFiFxnLMuLkiMi2qV8LMp54N8tE8FT1GMH+ev4Ti00nFjNze2+Su6DsV5OQW3Dg==
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"
@@ -1276,9 +1291,9 @@ js-tiktoken@^1.0.12:
base64-js "^1.5.1"
js-yaml@^4.1.1:
version "4.3.0"
resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-4.3.0.tgz#d1900572a7f7cf0b5f540c83673e60bad3436592"
integrity sha512-1td788aAnnZ5qs7V2QIRl1owjtYpbKt749Y3xauqQgwIIGF/xXWz1wMTEBx5O3LK3lXLVuqXPdPxj2BoFHaW9Q==
version "4.1.1"
resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-4.1.1.tgz#854c292467705b699476e1a2decc0c8a3458806b"
integrity sha512-qQKT4zQxXl8lLwBtHMWwaTcGfFOZviOJet3Oy/xmGk2gZH677CJM9EvtfdSkgWcATZhj/55JZ0rmy3myCT5lsA==
dependencies:
argparse "^2.0.1"
@@ -1312,11 +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"
@@ -1542,10 +1558,10 @@ prettier-linter-helpers@^1.0.1:
dependencies:
fast-diff "^1.1.2"
prettier@^3.9.4:
version "3.9.4"
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.9.4.tgz#a9c477cf1614376bd1f6bbc593d8c0d414bcec87"
integrity sha512-yWG/o/4oJfo036EKAfK6ACAoDOfHeRHx4tuxkfBZiauURiaSmYwlpOr5LQqKtIkRD2z1PLteme2WoxEnj4tHTg==
prettier@^3.8.3:
version "3.8.3"
resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
integrity sha512-7igPTM53cGHMW8xWuVTydi2KO233VFiTNyF5hLJqpilHfmn8C8gPf+PS7dUT64YcXFbiMGZxS9pCSxL/Dxm/Jw==
punycode@^2.1.0:
version "2.3.1"
@@ -1768,12 +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"
@@ -1798,17 +1814,17 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo@^2.10.2:
version "2.10.2"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.10.2.tgz#7b8993242d550e3adf7f3245b231f663e5300ebf"
integrity sha512-wTExrNrRjB8qzIcg+ZLm0A3GFNLDsWNwdS/RBXB0FPrBDyzk3i96Yx+TxWZC7a0k1SIreFB8ciUbxjmEqTH8IQ==
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" "2.10.2"
"@turbo/darwin-arm64" "2.10.2"
"@turbo/linux-64" "2.10.2"
"@turbo/linux-arm64" "2.10.2"
"@turbo/windows-64" "2.10.2"
"@turbo/windows-arm64" "2.10.2"
"@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"
@@ -1862,10 +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"
@@ -1884,6 +1900,16 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@10.0.0, uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
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"
resolved "https://registry.yarnpkg.com/which-boxed-primitive/-/which-boxed-primitive-1.1.1.tgz#d76ec27df7fa165f18d5808374a5fe23c29b176e"
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.31"
__version__ = "0.4.25"
+1 -46
View File
@@ -159,14 +159,7 @@ OPT_POSTGRES_URI = click.option(
OPT_API_VERSION = click.option(
"--api-version",
type=str,
help=(
"API server version to use for the base image. If unspecified, the "
"latest stable version will be used. Compatible ranges like "
"~=0.11.0.dev5 stay on 0.11.0.dev5 while only newer dev builds exist, "
"then resolve to the newest matching rc or stable release, for example "
"0.11.0rc1 or 0.11.0. Stable-floating ranges like >~=0.11.0.dev5 "
"can also pick up future stable releases, for example 0.12.0."
),
help="API server version to use for the base image. If unspecified, the latest version will be used.",
)
OPT_ENGINE_RUNTIME_MODE = click.option(
@@ -731,30 +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",
@@ -773,20 +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:
@@ -857,8 +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 -181
View File
@@ -9,7 +9,6 @@ from collections import Counter
from typing import Literal, NamedTuple
import click
import httpx
from langgraph_cli.schemas import Config, Distros
from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
@@ -36,37 +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]*))?$"
)
_API_VERSION_RANGE_PATTERN = re.compile(r"^(?P<operator>~=|>~=)\s*(?P<version>.+)$")
_API_VERSION_PART_PATTERN = re.compile(
r"^(?P<major>\d+)"
r"(?:\.(?P<minor>\d+))?"
r"(?:\.(?P<patch>\d+))?"
r"(?:(?:\.|)(?P<pre>dev|rc)(?P<pre_n>\d+))?$"
)
class _ParsedApiVersion(NamedTuple):
release: tuple[int, ...]
prerelease: str | None
prerelease_number: int
class _ApiVersionRange(NamedTuple):
floor: _ParsedApiVersion
allow_future_stable: bool
_PRERELEASE_ORDER = {
"dev": 0,
"rc": 1,
None: 2,
}
def has_disallowed_build_command_content(command: str) -> bool:
@@ -155,145 +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 _parse_api_version(version_str: str) -> _ParsedApiVersion:
match = _API_VERSION_PART_PATTERN.fullmatch(version_str)
if not match:
raise ValueError("Version must be major or major.minor or major.minor.patch.")
release = tuple(
int(part)
for part in (
match.group("major"),
match.group("minor"),
match.group("patch"),
)
if part is not None
)
prerelease = match.group("pre")
prerelease_number = int(match.group("pre_n") or 0)
return _ParsedApiVersion(release, prerelease, prerelease_number)
def _api_version_sort_key(
version: _ParsedApiVersion,
) -> tuple[tuple[int, ...], int, int]:
return (
version.release,
_PRERELEASE_ORDER[version.prerelease],
version.prerelease_number,
)
def _api_version_upper_bound(version: _ParsedApiVersion) -> tuple[int, ...]:
release = version.release
if len(release) <= 2:
return (release[0] + 1,)
return (release[0], release[1] + 1)
def _is_compatible_api_version_candidate(
candidate: _ParsedApiVersion,
version_range: _ApiVersionRange,
upper_bound: tuple[int, ...],
) -> bool:
floor = version_range.floor
if _api_version_sort_key(candidate) < _api_version_sort_key(floor):
return False
outside_compatible_range = candidate.release[: len(upper_bound)] >= upper_bound
if outside_compatible_range and not version_range.allow_future_stable:
return False
if outside_compatible_range and candidate.prerelease is not None:
return False
if floor.prerelease == "dev" and candidate.prerelease == "dev":
return candidate == floor
return True
def _ensure_compatible_api_version_base_image(base_image: str) -> None:
if ":" in base_image:
raise click.UsageError(
"Compatible api_version ranges cannot be used with a tagged base_image."
)
def _get_pypi_versions(package_name: str) -> list[str]:
try:
response = httpx.get(
f"https://pypi.org/pypi/{package_name}/json",
timeout=10,
)
response.raise_for_status()
except httpx.HTTPError as exc:
raise click.UsageError(
f"Failed to fetch PyPI versions for {package_name}: {exc}"
) from None
payload = response.json()
releases = payload.get("releases", {})
if not isinstance(releases, dict):
raise click.UsageError(
f"Failed to fetch PyPI versions for {package_name}: invalid response."
)
return [version for version in releases if isinstance(version, str)]
def _resolve_compatible_api_version(
api_version: str,
base_image: str,
version_distro_tag: str,
) -> str:
match = _API_VERSION_RANGE_PATTERN.fullmatch(api_version)
if not match:
return api_version
floor_str = match.group("version").strip()
try:
floor = _parse_api_version(floor_str)
except ValueError:
raise click.UsageError(
f"Invalid compatible api_version range: {api_version}.\n\n"
"Use a compatible version range, e.g.:\n"
' "api_version": "~=0.11.0.dev5"\n'
"or a stable-floating range, e.g.:\n"
' "api_version": ">~=0.11.0.dev5"'
) from None
version_range = _ApiVersionRange(
floor=floor,
allow_future_stable=match.group("operator") == ">~=",
)
_ensure_compatible_api_version_base_image(base_image)
pypi_versions = _get_pypi_versions("langgraph-api")
candidates: list[tuple[_ParsedApiVersion, str]] = []
upper_bound = _api_version_upper_bound(floor)
for candidate_str in pypi_versions:
try:
candidate = _parse_api_version(candidate_str)
except ValueError:
continue
if _is_compatible_api_version_candidate(candidate, version_range, upper_bound):
candidates.append((candidate, candidate_str))
if not candidates:
raise click.UsageError(
f"No PyPI releases match compatible api_version range {api_version!r} "
f"for {base_image} with {version_distro_tag!r}."
)
return max(candidates, key=lambda item: _api_version_sort_key(item[0]))[1]
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):
@@ -347,17 +176,12 @@ def validate_config(config: Config) -> Config:
)
if api_version:
try:
compatible_match = _API_VERSION_RANGE_PATTERN.fullmatch(api_version)
parts = _parse_api_version_parts(
compatible_match.group("version").strip()
if compatible_match
else 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"
@@ -1588,9 +1412,6 @@ def docker_tag(
# Prepend API version if provided
if api_version:
api_version = _resolve_compatible_api_version(
api_version, base_image, f"{language}{version_distro_tag}"
)
full_tag = f"{api_version}-{language}{version_distro_tag}"
elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
return f"{base_image}-{language}{version_distro_tag}"
@@ -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]
+50 -183
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
@@ -366,42 +365,6 @@ def normalize_image_tag(value: str) -> str:
return value
def _validate_prebuilt_image(runner, image: str, *, verbose: bool) -> None:
"""Ensure a prebuilt image exists locally for linux/amd64."""
try:
stdout, _ = runner.run(
subp_exec(
"docker",
"image",
"inspect",
"--format",
"{{.Os}}/{{.Architecture}}",
image,
verbose=verbose,
collect=True,
)
)
except FileNotFoundError:
raise click.ClickException(
"Docker is required but not installed.\n"
"Install Docker Desktop: https://docs.docker.com/get-docker/"
) from None
except click.exceptions.Exit:
raise click.ClickException(
f"Docker image '{image}' was not found locally. Build or pull the image "
"before deploying with --image."
) from None
image_platform = (stdout or "").strip()
if image_platform != "linux/amd64":
detected = image_platform or "unknown"
raise click.ClickException(
f"Docker image '{image}' targets {detected}, but LangSmith Deployment "
"requires linux/amd64. Rebuild or pull the image for linux/amd64 before "
"deploying with --image."
)
def _extract_deployment_url(deployment: dict[str, object]) -> str:
source_config = deployment.get("source_config")
if isinstance(source_config, dict):
@@ -561,18 +524,12 @@ def _secrets_from_env(
def _resolve_build_mode(
remote_build_flag: bool | None,
*,
force_local: bool = False,
) -> tuple[bool, str | None]:
"""Determine whether to use a remote build.
Returns (use_remote_build, local_build_error). Raises UsageError when
--no-remote is set but the machine cannot build locally. When
`force_local` is set, the function short-circuits and always selects a
local build.
--no-remote is set but the machine cannot build locally.
"""
if force_local:
return False, None
local_build_supported, local_build_error = can_build_locally()
if remote_build_flag is True:
@@ -892,41 +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,
@@ -939,71 +861,63 @@ def _run_local_build(
api_version: str | None,
base_image: str | None,
image_name: str | None,
prebuilt_image: str | None,
name: str | None,
tag: str,
install_command: str | None,
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
# (e.g. Apple Silicon). On amd64 hosts, plain docker build is sufficient.
needs_buildx = platform.machine() != "x86_64"
local_tag = f"langgraph-deploy-tmp:{int(time.time())}"
image_to_push = prebuilt_image or local_tag
with Runner() as runner:
if prebuilt_image:
_log_deploy_step(step, f"Validating image {prebuilt_image}")
_validate_prebuilt_image(runner, prebuilt_image, verbose=verbose)
click.secho(" Image is available for linux/amd64", fg="green")
# -- Step: Build image --
_log_deploy_step(step, "Building image")
if needs_buildx:
build_flags: list[str] = [
"--platform",
"linux/amd64",
"--load",
]
if not verbose:
build_flags.append("--progress=quiet")
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
docker_command=("docker", "buildx", "build"),
extra_flags=build_flags,
verbose=verbose,
)
else:
# -- Step: Build image --
_log_deploy_step(step, "Building image")
if needs_buildx:
build_flags: list[str] = [
"--platform",
"linux/amd64",
"--load",
]
if not verbose:
build_flags.append("--progress=quiet")
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
docker_command=("docker", "buildx", "build"),
extra_flags=build_flags,
verbose=verbose,
)
else:
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
verbose=verbose,
)
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
verbose=verbose,
)
step += 1
# -- Step: Get push token and authenticate --
@@ -1072,7 +986,7 @@ def _run_local_build(
subp_exec(
"docker",
"tag",
image_to_push,
local_tag,
remote_image,
verbose=verbose,
)
@@ -1101,21 +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 {},
@@ -1137,7 +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
@@ -1168,7 +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
@@ -1472,13 +1372,6 @@ def _deploy_base_options(
show_default=True,
help="Tag to use for the pushed deployment image.",
),
click.option(
"--image",
help=(
"Use an existing local image reference (e.g. repo:tag) and "
"skip building. The image must target linux/amd64."
),
),
click.option(
"--config",
"-c",
@@ -1579,7 +1472,6 @@ def _deploy_cmd(
deployment_type: str,
name: str | None,
image_name: str | None,
image: str | None,
tag: str,
base_image: str | None,
install_command: str | None,
@@ -1626,12 +1518,7 @@ def _deploy_cmd(
secrets = _secrets_from_env(_env_without_deployment_name(env_vars))
if image and remote_build_flag is True:
raise click.UsageError("--image cannot be combined with --remote builds.")
use_remote_build, local_build_error = _resolve_build_mode(
remote_build_flag, force_local=image is not None
)
use_remote_build, local_build_error = _resolve_build_mode(remote_build_flag)
if use_remote_build and remote_build_flag is None and local_build_error:
em.note(f"{local_build_error}\nUsing remote build instead.")
if not json_output:
@@ -1666,15 +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(
@@ -1687,7 +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(
@@ -1701,14 +1578,12 @@ def _deploy_cmd(
api_version=api_version,
base_image=base_image,
image_name=image_name,
prebuilt_image=image,
name=name,
tag=tag,
install_command=install_command,
build_command=build_command,
docker_build_args=docker_build_args,
secrets=secrets,
tracked_packages=tracked_packages,
)
# -- 4. Shared wait + result --
@@ -1786,12 +1661,8 @@ def deploy_list(api_key: str | None, host_url: str | None, name_contains: str) -
client,
lambda c: c.list_deployments(name_contains=name_contains),
)
resources = response.get("resources") if isinstance(response, dict) else None
deployments = (
[item for item in resources if isinstance(item, dict)]
if isinstance(resources, list)
else []
)
resources = response.get("resources", []) if isinstance(response, dict) else []
deployments = [item for item in resources if isinstance(item, dict)]
if not deployments:
click.echo("No deployments found.")
return
@@ -1835,12 +1706,8 @@ def deploy_revisions_list(
client,
lambda c: c.list_revisions(deployment_id, limit=limit),
)
resources = response.get("resources") if isinstance(response, dict) else None
revisions = (
[item for item in resources if isinstance(item, dict)]
if isinstance(resources, list)
else []
)
resources = response.get("resources", []) if isinstance(response, dict) else []
revisions = [item for item in resources if isinstance(item, dict)]
if not revisions:
click.echo(f"No revisions found for deployment {deployment_id}.")
return
-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,<1.0.0 ; python_version >= '3.11'",
"langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
]
@@ -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)
-174
View File
@@ -2944,180 +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_docker_tag_with_compatible_api_version_promotes_to_latest_patch():
config = validate_config(
{
"python_version": "3.12",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"image_distro": "wolfi",
"api_version": "~=0.11.0.dev5",
}
)
with patch(
"langgraph_cli.config._get_pypi_versions",
return_value=[
"0.11.0.dev5",
"0.11.0.dev6",
"0.11.0rc1",
"0.11.0",
"0.11.1rc1",
"0.11.1",
"0.12.0rc1",
],
) as get_versions:
tag = docker_tag(config)
get_versions.assert_called_once_with("langgraph-api")
assert tag == "langchain/langgraph-api:0.11.1-py3.12-wolfi"
def test_docker_tag_with_compatible_api_version_freezes_dev_until_rc():
config = validate_config(
{
"python_version": "3.12",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": "~=0.11.0.dev5",
}
)
with patch(
"langgraph_cli.config._get_pypi_versions",
return_value=[
"0.11.0.dev5",
"0.11.0.dev6",
"0.11.0.dev7",
],
):
tag = docker_tag(config)
assert tag == "langchain/langgraph-api:0.11.0.dev5-py3.12"
def test_docker_tag_with_stable_floating_api_version_promotes_to_future_stable():
config = validate_config(
{
"python_version": "3.12",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"image_distro": "wolfi",
"api_version": ">~=0.11.0.dev5",
}
)
with patch(
"langgraph_cli.config._get_pypi_versions",
return_value=[
"0.11.0.dev5",
"0.11.0.dev6",
"0.11.0rc1",
"0.11.0",
"0.11.1",
"0.12.0rc1",
"0.12.0",
"0.13.0.dev1",
"0.13.0",
],
) as get_versions:
tag = docker_tag(config)
get_versions.assert_called_once_with("langgraph-api")
assert tag == "langchain/langgraph-api:0.13.0-py3.12-wolfi"
def test_docker_tag_with_stable_floating_api_version_ignores_future_prereleases():
config = validate_config(
{
"python_version": "3.12",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": ">~=0.11.0.dev5",
}
)
with patch(
"langgraph_cli.config._get_pypi_versions",
return_value=[
"0.11.0.dev5",
"0.11.0",
"0.12.0rc1",
"0.12.0.dev1",
],
):
tag = docker_tag(config)
assert tag == "langchain/langgraph-api:0.11.0-py3.12"
def test_validate_config_rejects_unrecognized_api_version_range_operator():
with pytest.raises(click.UsageError, match="Invalid version format"):
validate_config(
{
"python_version": "3.12",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": "~>=0.11.0.dev5",
}
)
def test_docker_tag_with_compatible_api_version_supports_node_images():
config = validate_config(
{
"node_version": "20",
"graphs": {"agent": "./agent.js:graph"},
"image_distro": "wolfi",
"api_version": "~=1.2.4",
}
)
with patch(
"langgraph_cli.config._get_pypi_versions",
return_value=[
"1.2.4",
"1.2.5",
"1.3.0",
],
) as get_versions:
tag = docker_tag(config)
get_versions.assert_called_once_with("langgraph-api")
assert tag == "langchain/langgraphjs-api:1.2.5-node20-wolfi"
def test_docker_tag_with_compatible_api_version_rejects_tagged_base_image():
config = validate_config(
{
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": "~=0.11.0.dev5",
}
)
with pytest.raises(click.UsageError, match="tagged base_image"):
docker_tag(config, base_image="langchain/langgraph-api:0.11.0")
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"]
@@ -1,17 +1,13 @@
import asyncio
import base64
import io
import json
import os
import sys
from unittest.mock import MagicMock
import click
import click.exceptions
import httpx
import pytest
import langgraph_cli.deploy as deploy_mod
from langgraph_cli.deploy import (
_call_host_backend_with_optional_tenant,
_create_host_backend_client,
@@ -20,9 +16,7 @@ from langgraph_cli.deploy import (
_env_without_deployment_name,
_parse_env_from_config,
_resolve_env_path,
_resolve_pushed_image_digest,
_smith_dashboard_base_url,
_validate_prebuilt_image,
normalize_image_tag,
normalize_name,
)
@@ -99,65 +93,6 @@ class TestNormalizeImageTag:
normalize_image_tag("has space")
class _FakeRunner:
def run(self, coro):
return asyncio.run(coro)
class TestValidatePrebuiltImage:
def test_accepts_linux_amd64(self, monkeypatch):
calls = []
async def fake_subp_exec(*args, **kwargs):
calls.append((args, kwargs))
return "linux/amd64\n", None
monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
_validate_prebuilt_image(_FakeRunner(), "repo/app:tag", verbose=False)
assert calls == [
(
(
"docker",
"image",
"inspect",
"--format",
"{{.Os}}/{{.Architecture}}",
"repo/app:tag",
),
{"verbose": False, "collect": True},
)
]
def test_missing_docker_binary_raises_actionable_error(self, monkeypatch):
async def fake_subp_exec(*args, **kwargs):
raise FileNotFoundError("docker")
monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
with pytest.raises(click.ClickException, match="Docker is required"):
_validate_prebuilt_image(_FakeRunner(), "repo/app:tag", verbose=False)
def test_missing_image_raises_actionable_error(self, monkeypatch):
async def fake_subp_exec(*args, **kwargs):
raise click.exceptions.Exit(1)
monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
with pytest.raises(click.ClickException, match="not found locally"):
_validate_prebuilt_image(_FakeRunner(), "missing:tag", verbose=False)
def test_rejects_non_amd64_platform(self, monkeypatch):
async def fake_subp_exec(*args, **kwargs):
return "linux/arm64\n", None
monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
with pytest.raises(click.ClickException, match="requires linux/amd64"):
_validate_prebuilt_image(_FakeRunner(), "repo/app:arm", verbose=False)
class TestParseEnvFromConfig:
def test_env_dict(self, tmp_path):
config_path = tmp_path / "langgraph.json"
@@ -597,156 +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" },
@@ -230,21 +227,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/1f/01/4771b7ab2af1d1aba5b710bd8f13d9225c609425214b357590a17b01be77/langchain_core-1.3.3-py3-none-any.whl", hash = "sha256:18aae8506f37da7f74398492279a7d6efcee4f8e23c4c41c7af080eeb7ef7bd1", size = 543857, upload-time = "2026-05-05T19:02:34.52Z" },
]
[[package]]
name = "langchain-protocol"
version = "0.0.17"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/44/b3/4e2429876c7a35585618caa2b9f9089f7162a6b50562b614ad82ac11c17e/langchain_protocol-0.0.17.tar.gz", hash = "sha256:e7cbe58c205df4b4fd87dc6d5bb23f10e13b236d0e2e1b0b9d05bc2b648f3eea", size = 6026, upload-time = "2026-06-12T18:39:51.923Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/13/0a/a1bfe72c6ec856e99773bbd96c8086421e554b3693d0142b9ea009c6ac92/langchain_protocol-0.0.17-py3-none-any.whl", hash = "sha256:982a08fe152586ed10d4ff3d538c2e0b5766e5f307cdea325e10be3f2c17cae6", size = 7096, upload-time = "2026-06-12T18:39:50.973Z" },
{ url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
]
[[package]]
@@ -277,21 +262,6 @@ wheels = [
{ url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
]
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langgraph-checkpoint" },
{ name = "orjson" },
{ name = "psycopg" },
{ name = "psycopg-pool" },
]
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[[package]]
+405 -395
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+5 -2
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@@ -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)
+79 -24
View File
@@ -1,45 +1,100 @@
# 🦜🕸️ LangGraph
<div align="center">
<a href="https://www.langchain.com/langgraph">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="../../.github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset="../../.github/images/logo-light.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph?label=%20)](https://pypi.org/project/langgraph/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph)](https://pypistats.org/packages/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
<div align="center">
<h3>Low-level orchestration framework for building stateful agents.</h3>
</div>
Looking for the JS/TS version? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs).
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
<a href="https://github.com/langchain-ai/langgraph/issues" target="_blank"><img src="https://img.shields.io/github/issues-raw/langchain-ai/langgraph" alt="Open Issues"></a>
<a href="https://docs.langchain.com/oss/python/langgraph/overview" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue" alt="Docs"></a>
<a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
<br>
## Quick Install
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
```bash
uv add langgraph
## Get started
Install LangGraph:
```
pip install -U langgraph
```
## 🤔 What is this?
Create a simple workflow:
LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. LangGraph provides the infrastructure for durable execution, streaming, human-in-the-loop, persistence, memory, and more.
```python
from langgraph.graph import START, StateGraph
from typing_extensions import TypedDict
We recommend you use LangGraph when you have advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency. Use [LangChain](https://docs.langchain.com/oss/python/langchain/overview) when you want to quickly build agents and applications powered by LLMs using pre-built agent architectures and model integrations.
LangChain [agents](https://docs.langchain.com/oss/python/langchain/agents) are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)
class State(TypedDict):
text: str
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is used to ship AI applications at scale.
## 📖 Documentation
def node_a(state: State) -> dict:
return {"text": state["text"] + "a"}
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph/). For conceptual guides, tutorials, and examples on using LangGraph, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview). Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
## 📕 Releases & Versioning
def node_b(state: State) -> dict:
return {"text": state["text"] + "b"}
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
graph = StateGraph(State)
graph.add_node("node_a", node_a)
graph.add_node("node_b", node_b)
graph.add_edge(START, "node_a")
graph.add_edge("node_a", "node_b")
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
print(graph.compile().invoke({"text": ""}))
# {'text': 'ab'}
```
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
## Core benefits
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
## LangGraphs ecosystem
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) Provides integrations and composable components to streamline LLM application development.
> [!NOTE]
> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Additional resources
- [Guides](https://docs.langchain.com/oss/python/langgraph/guides): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
## Acknowledgements
+34 -143
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
@@ -20,7 +20,6 @@ from langchain_core.runnables.config import (
from langgraph.checkpoint.base import CheckpointMetadata
from langgraph._internal._constants import (
_CHECKPOINT_COORDINATE_KEYS,
CONF,
CONFIG_KEY_CHECKPOINT_ID,
CONFIG_KEY_CHECKPOINT_MAP,
@@ -30,9 +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:
@@ -80,70 +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.
@@ -163,10 +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
@@ -178,9 +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"]
@@ -343,65 +300,13 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
if _is_not_empty(v)
},
)
# An explicit config that supplies its own checkpoint coordinate (a
# thread_id, or any checkpoint_ns/checkpoint_id/checkpoint_map) is addressing
# its own checkpoint lineage, so drop the inherited ambient configurable
# rather than merging over it: a child graph invoked inside a parent node
# would otherwise write its checkpoints under the parent's namespace and
# never find them again. An explicit thread_id resets even when it equals the
# ambient one, since a child reusing the parent's thread id still addresses
# its own root namespace, not the parent task's. Configs that only refine
# other keys keep the ambient and shallow-merge over it below.
if empty.get(CONF):
for config in configs:
if config is None:
continue
explicit_configurable = config.get(CONF)
if not explicit_configurable:
continue
if any(
_is_not_empty(explicit_configurable.get(k))
for k in _CHECKPOINT_COORDINATE_KEYS
):
empty[CONF] = {}
break
for config in configs:
if config is None:
continue
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():
@@ -458,17 +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
@@ -95,15 +95,6 @@ NULL_TASK_ID = sys.intern("00000000-0000-0000-0000-000000000000")
OVERWRITE = sys.intern("__overwrite__")
# dict key for the overwrite value, used as `{'__overwrite__': value}`
# Checkpoint coordinate keys: when any of these appear in an explicit
# configurable, the caller is addressing its own checkpoint lineage.
_CHECKPOINT_COORDINATE_KEYS = (
CONFIG_KEY_THREAD_ID,
CONFIG_KEY_CHECKPOINT_NS,
CONFIG_KEY_CHECKPOINT_ID,
CONFIG_KEY_CHECKPOINT_MAP,
)
# redefined to avoid circular import with langgraph.constants
_TAG_HIDDEN = sys.intern("langsmith:hidden")
+3 -17
View File
@@ -29,25 +29,11 @@ def _strip_extras(t): # type: ignore[no-untyped-def]
def _get_overwrite(value: Any) -> tuple[bool, Any]:
"""Inspects the given value and returns (is_overwrite, overwrite_value).
Recognises three forms:
* The typed `Overwrite` dataclass instance.
* The sentinel-keyed `{"__overwrite__": value}` dict form.
* The dataclass-erased `{"value": ..., "type": "__overwrite__"}` form that
results from JSON-serialising an `Overwrite` (e.g. an `orjson`-encoded
state update routed through the LangGraph API server). This keeps the
`Overwrite` semantics intact across JSON boundaries that strip dataclass
types.
"""
"""Inspects the given value and returns (is_overwrite, overwrite_value)."""
if isinstance(value, Overwrite):
return True, value.value
if isinstance(value, dict):
if len(value) == 1 and OVERWRITE in value:
return True, value[OVERWRITE]
if value.get("type") == OVERWRITE and "value" in value:
return True, value["value"]
if isinstance(value, dict) and len(value) == 1 and OVERWRITE in value:
return True, value[OVERWRITE]
return False, None
+7 -8
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
@@ -172,11 +169,13 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
overwrite_idx = i
if overwrite_idx is not None:
_, overwrite_value = _get_overwrite(values[overwrite_idx])
self.value = (
base = (
_copy.copy(overwrite_value)
if overwrite_value is not None
else self.typ()
)
remaining = [v for i, v in enumerate(values) if i != overwrite_idx]
self.value = self.reducer(base, remaining) if remaining else base
return True
base = self.typ() if self.value is MISSING else self.value
self.value = self.reducer(base, list(values))
-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](
+25 -109
View File
@@ -1,7 +1,6 @@
from __future__ import annotations
import uuid
from collections.abc import Callable, Iterable, Mapping
from collections.abc import Callable, Mapping
from datetime import datetime, timezone
from typing import Any, cast
@@ -9,12 +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._constants import PUSH
from langgraph._internal._typing import MISSING
from langgraph.channels.base import BaseChannel
from langgraph.channels.delta import DeltaChannel
@@ -36,116 +34,25 @@ def empty_checkpoint() -> Checkpoint:
)
def exit_delta_task_id(step: int, task_id: str) -> str:
"""Synthetic task id for exit-mode DeltaChannel writes.
Embeds the superstep in the first UUID group so `ORDER BY task_id, idx`
preserves chronological order while remaining a valid RFC UUID (required by
Postgres `checkpoint_writes.task_id uuid` columns).
"""
parts = str(uuid.UUID(task_id)).split("-")
return f"{step:08d}-{parts[1]}-{parts[2]}-{parts[3]}-{parts[4]}"
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
def get_updated_channels_from_tasks(
run_tasks: Iterable[Any],
) -> set[str]:
"""Channel names written by an update_state superstep (excluding PUSH)."""
return {c for task in run_tasks for c, _ in task.writes if c != PUSH}
def get_delta_channels_from_all_channels(
channels: Mapping[str, BaseChannel],
) -> set[str]:
"""DeltaChannels to snapshot on the first update_state of a fresh thread."""
return {
k
for k, ch in channels.items()
if isinstance(ch, DeltaChannel) and ch.is_available()
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_metadata_for_update_state_api(
channels: Mapping[str, BaseChannel],
updated_channels: set[str],
*,
prev_metadata: Mapping[str, Any] | None,
) -> dict[str, tuple[int, int]]:
"""Advance ``counters_since_delta_snapshot`` for update_state on a non-fresh thread.
Mirrors the per-superstep counter bump in ``_loop._put_checkpoint``.
"""
prev_counters = dict(
(prev_metadata or {}).get("counters_since_delta_snapshot") or {}
)
new_counters: dict[str, tuple[int, int]] = {}
for ch_name, ch in channels.items():
if not isinstance(ch, DeltaChannel):
continue
u, s = prev_counters.get(ch_name, (0, 0))
s += 1
if ch_name in updated_channels:
u += 1
new_counters[ch_name] = (u, s)
return new_counters
def create_checkpoint_plan_for_update_state_api(
channels: Mapping[str, BaseChannel],
updated_channels: set[str],
*,
step: int,
parents: dict[str, Any],
saved_metadata: Mapping[str, Any] | None,
is_fresh_thread: bool,
) -> tuple[set[str], dict[str, Any]]:
"""Return ``(channels_to_snapshot, metadata)`` for an update_state head."""
metadata: dict[str, Any] = {
"source": "update",
"step": step,
"parents": parents,
}
if is_fresh_thread:
return get_delta_channels_from_all_channels(channels), metadata
new_counters = create_metadata_for_update_state_api(
channels,
updated_channels,
prev_metadata=saved_metadata,
)
channels_to_snapshot = delta_channels_to_snapshot(channels, new_counters)
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:
metadata["counters_since_delta_snapshot"] = non_zero
return channels_to_snapshot, metadata
def create_checkpoint(
checkpoint: Checkpoint,
channels: Mapping[str, BaseChannel] | None,
@@ -162,7 +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()
@@ -178,11 +85,6 @@ def create_checkpoint(
continue
ch = channels[k]
if k in channels_to_snapshot:
# Callers force a full snapshot blob here: exit mode when a
# delta channel reaches its snapshot cadence, and update_state
# on a fresh thread (no ancestor to replay writes from). The
# manual version-bump below only applies to the exit-mode case.
#
# In exit mode, the snapshot decision is deferred to exit
# time (intermediate steps have do_checkpoint=False). The
# channel's count may have reached snapshot_frequency over
@@ -329,3 +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 {})
+41 -171
View File
@@ -70,7 +70,6 @@ from langgraph.callbacks import (
GraphResumeEvent,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.binop import _get_overwrite
from langgraph.channels.delta import DeltaChannel
from langgraph.channels.untracked_value import UntrackedValue
from langgraph.constants import TAG_HIDDEN
@@ -103,7 +102,6 @@ from langgraph.pregel._checkpoint import (
create_checkpoint,
delta_channels_to_snapshot,
empty_checkpoint,
exit_delta_task_id,
)
from langgraph.pregel._executor import (
AsyncBackgroundExecutor,
@@ -117,7 +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 (
@@ -206,12 +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
@@ -222,11 +213,6 @@ class PregelLoop:
# under the saver's `ORDER BY task_id, idx` sorting.
_exit_delta_writes: list[tuple[int, str, str, Any]] | None = None
# Delta channels that saw an Overwrite since the last checkpoint. These
# channels must snapshot after live update applies overwrite semantics so
# sparse replay starts from the same post-overwrite value.
_delta_channels_with_overwrite: set[str]
# The checkpoint_config that points at the parent loaded at `__enter__`
# (or the synthetic-empty checkpoint, on first run). We capture it
# eagerly because every `_put_checkpoint` advances `self.checkpoint_config`
@@ -455,14 +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,
@@ -496,13 +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)
@@ -582,7 +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
@@ -660,8 +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(
@@ -683,11 +653,6 @@ class PregelLoop:
def after_tick(self) -> None:
# finish superstep
writes = [w for t in self.tasks.values() for w in t.writes]
self._delta_channels_with_overwrite.update(
ch
for ch, v in writes
if isinstance(self.specs.get(ch), DeltaChannel) and _get_overwrite(v)[0]
)
# all tasks have finished
self.updated_channels = apply_writes(
self.checkpoint,
@@ -733,88 +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
@@ -991,11 +881,6 @@ class PregelLoop:
manager=None,
updated_channels=updated_channels,
)
self._delta_channels_with_overwrite.update(
c
for c, v in input_writes
if isinstance(self.specs.get(c), DeltaChannel) and _get_overwrite(v)[0]
)
# apply input writes
updated_channels = apply_writes(
self.checkpoint,
@@ -1093,41 +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 (
@@ -1135,8 +1014,7 @@ class PregelLoop:
)
# create new checkpoint
channels_to_snapshot = (
delta_channels_to_snapshot(self.channels, new_counters)
| self._delta_channels_with_overwrite
delta_channels_to_snapshot(self.channels, new_counts)
if do_checkpoint
else set()
)
@@ -1152,14 +1030,11 @@ class PregelLoop:
channels_to_snapshot=channels_to_snapshot,
)
for k in channels_to_snapshot:
new_counters[k] = (0, 0)
if do_checkpoint:
self._delta_channels_with_overwrite.difference_update(channels_to_snapshot)
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()
@@ -1234,13 +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)
| self._delta_channels_with_overwrite
)
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)
@@ -1295,7 +1165,7 @@ class PregelLoop:
},
)
for (step, tid), entries in grouped.items():
synth_tid = exit_delta_task_id(step, tid)
synth_tid = f"{step:08d}-{tid}"
if self.checkpointer_put_writes_accepts_task_path:
fut = self.submit(
self.checkpointer_put_writes,
@@ -1575,10 +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,
@@ -1601,7 +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
@@ -1683,8 +1555,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._delta_channels_with_overwrite = set()
self._exit_delta_writes = (
[] if self.durability == "exit" and self.checkpointer is not None else None
)
@@ -1830,10 +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,
@@ -1856,7 +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
@@ -1941,8 +1813,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
else []
)
self._delta_write_futs = []
self._error_handler_write_futs = []
self._delta_channels_with_overwrite = set()
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:
+37 -87
View File
@@ -132,9 +132,7 @@ from langgraph.pregel._checkpoint import (
channels_from_checkpoint,
copy_checkpoint,
create_checkpoint,
create_checkpoint_plan_for_update_state_api,
empty_checkpoint,
get_updated_channels_from_tasks,
)
from langgraph.pregel._draw import draw_graph
from langgraph.pregel._io import map_input, read_channels
@@ -1997,14 +1995,13 @@ class Pregel(
},
),
)
updated_channels = get_updated_channels_from_tasks(run_tasks)
if saved is not None:
for task_id, task in zip(run_task_ids, run_tasks):
channel_writes = [w for w in task.writes if w[0] != PUSH]
if channel_writes:
checkpointer.put_writes(
checkpoint_config, channel_writes, task_id
)
# save task writes
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 saved and channel_writes:
checkpointer.put_writes(checkpoint_config, channel_writes, task_id)
# apply to checkpoint and save
apply_writes(
checkpoint,
channels,
@@ -2012,35 +2009,21 @@ class Pregel(
checkpointer.get_next_version,
self.trigger_to_nodes,
)
channels_to_snapshot, checkpoint_metadata = (
create_checkpoint_plan_for_update_state_api(
channels,
updated_channels,
step=step + 1,
parents=saved.metadata.get("parents", {}) if saved else {},
saved_metadata=saved.metadata if saved else None,
is_fresh_thread=saved is None,
)
)
checkpoint = create_checkpoint(
checkpoint,
channels,
step + 1,
updated_channels=updated_channels if channels_to_snapshot else None,
get_next_version=checkpointer.get_next_version
if channels_to_snapshot
else None,
channels_to_snapshot=channels_to_snapshot,
)
checkpoint = create_checkpoint(checkpoint, channels, step + 1)
next_config = checkpointer.put(
checkpoint_config,
checkpoint,
checkpoint_metadata,
{
"source": "update",
"step": step + 1,
"parents": saved.metadata.get("parents", {}) if saved else {},
},
get_new_channel_versions(
checkpoint_previous_versions, checkpoint["channel_versions"]
),
)
for task_id, task in zip(run_task_ids, run_tasks):
# save push writes
if push_writes := [w for w in task.writes if w[0] == PUSH]:
checkpointer.put_writes(next_config, push_writes, task_id)
@@ -2457,14 +2440,15 @@ class Pregel(
},
),
)
updated_channels = get_updated_channels_from_tasks(run_tasks)
if saved is not None:
for task_id, task in zip(run_task_ids, run_tasks):
channel_writes = [w for w in task.writes if w[0] != PUSH]
if channel_writes:
await checkpointer.aput_writes(
checkpoint_config, channel_writes, task_id
)
# save task writes
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 saved and channel_writes:
await checkpointer.aput_writes(
checkpoint_config, channel_writes, task_id
)
# apply to checkpoint and save
apply_writes(
checkpoint,
channels,
@@ -2472,35 +2456,22 @@ class Pregel(
checkpointer.get_next_version,
self.trigger_to_nodes,
)
channels_to_snapshot, checkpoint_metadata = (
create_checkpoint_plan_for_update_state_api(
channels,
updated_channels,
step=step + 1,
parents=saved.metadata.get("parents", {}) if saved else {},
saved_metadata=saved.metadata if saved else None,
is_fresh_thread=saved is None,
)
)
checkpoint = create_checkpoint(
checkpoint,
channels,
step + 1,
updated_channels=updated_channels if channels_to_snapshot else None,
get_next_version=checkpointer.get_next_version
if channels_to_snapshot
else None,
channels_to_snapshot=channels_to_snapshot,
)
checkpoint = create_checkpoint(checkpoint, channels, step + 1)
# save checkpoint, after applying writes
next_config = await checkpointer.aput(
checkpoint_config,
checkpoint,
checkpoint_metadata,
{
"source": "update",
"step": step + 1,
"parents": saved.metadata.get("parents", {}) if saved else {},
},
get_new_channel_versions(
checkpoint_previous_versions, checkpoint["channel_versions"]
),
)
for task_id, task in zip(run_task_ids, run_tasks):
# save push writes
if push_writes := [w for w in task.writes if w[0] == PUSH]:
await checkpointer.aput_writes(next_config, push_writes, task_id)
return patch_checkpoint_map(next_config, saved.metadata if saved else None)
@@ -2864,9 +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(
@@ -3307,9 +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(
@@ -3512,7 +3479,7 @@ class Pregel(
control: RunControl | None = None,
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
**kwargs: Any,
) -> GraphRunStream:
) -> Any:
"""Internal v3 sync streaming implementation. Public entry: stream_events(version='v3').
Extra keyword arguments are forwarded to the underlying ``stream(...)``
@@ -3568,7 +3535,7 @@ class Pregel(
control: RunControl | None = None,
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
**kwargs: Any,
) -> AsyncGraphRunStream:
) -> Any:
"""Internal v3 async streaming implementation. Public entry: astream_events(version='v3').
Extra keyword arguments are forwarded to the underlying ``astream(...)``
@@ -3633,7 +3600,7 @@ class Pregel(
control: RunControl | None = None,
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
**kwargs: Any,
) -> GraphRunStream: ...
) -> Any: ...
def stream_events(
self,
@@ -3738,7 +3705,7 @@ class Pregel(
control: RunControl | None = None,
transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
**kwargs: Any,
) -> Awaitable[AsyncGraphRunStream]: ...
) -> Awaitable[Any]: ...
def astream_events(
self,
@@ -4286,23 +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.
+14 -95
View File
@@ -12,13 +12,7 @@ from langgraph.stream._mux import StreamMux
from langgraph.stream._types import ProtocolEvent
if TYPE_CHECKING:
from langchain_core.language_models.chat_model_stream import (
AsyncChatModelStream,
ChatModelStream,
)
from langgraph.stream.stream_channel import StreamChannel
from langgraph.stream.transformers import LifecyclePayload, SubgraphStatus
from langgraph.stream.transformers import LifecycleEvent
def _drive_until_done(pump: Callable[[], bool]) -> None:
@@ -54,16 +48,6 @@ class GraphRunStream:
experimental and may change.
"""
# Native projections always registered by `stream_events(version="v3")`.
# Attached dynamically by the `setattr` loop in `__init__`; declared here
# so type checkers see them. Opt-in native projections (`updates`,
# `custom`, `checkpoints`, `debug`, `tasks`) are only present when their
# transformer is registered, so they are reached via `extensions[...]`.
values: StreamChannel[dict[str, Any]]
messages: StreamChannel[ChatModelStream]
lifecycle: StreamChannel[LifecyclePayload]
subgraphs: StreamChannel[SubgraphRunStream]
def __init__(
self,
graph_iter: Iterator[Any] | None,
@@ -148,23 +132,13 @@ class GraphRunStream:
def abort(self) -> None:
"""Stop the run early.
Closes the underlying graph iterator (propagating `GeneratorExit`
so in-flight nodes and subgraphs are cancelled), closes the mux,
and marks the stream exhausted. Idempotent.
Closes the mux and marks the stream exhausted. The graph
iterator is dropped; any in-flight nodes see the closure on
their next yield point. Idempotent.
"""
if self._exhausted:
return
self._exhausted = True
graph_iter = self._graph_iter
self._graph_iter = None
if (
graph_iter is not None
and (close := getattr(graph_iter, "close", None)) is not None
):
try:
close()
except Exception:
pass
try:
self._mux.close()
except Exception:
@@ -345,16 +319,6 @@ class AsyncGraphRunStream:
experimental and may change.
"""
# Native projections always registered by `astream_events(version="v3")`.
# Attached dynamically by the `setattr` loop in `__init__`; declared here
# so type checkers see them. Opt-in native projections (`updates`,
# `custom`, `checkpoints`, `debug`, `tasks`) are only present when their
# transformer is registered, so they are reached via `extensions[...]`.
values: StreamChannel[dict[str, Any]]
messages: StreamChannel[AsyncChatModelStream]
lifecycle: StreamChannel[LifecyclePayload]
subgraphs: StreamChannel[AsyncSubgraphRunStream]
def __init__(
self,
graph_aiter: AsyncIterator[Any] | None,
@@ -384,8 +348,6 @@ class AsyncGraphRunStream:
self._scope_list: list[str] = list(mux.scope)
self._pump_cond = asyncio.Condition()
self._pumping = False
self._anext_task: asyncio.Future[Any] | None = None
self._aborting = False
for key in mux.native_keys:
setattr(self, key, mux.extensions[key])
if wire_pump:
@@ -445,25 +407,7 @@ class AsyncGraphRunStream:
try:
try:
# Run the pull as a child task so `abort()` can cancel it
# mid-flight. Cancelling propagates `CancelledError` into the
# graph generator frame -> Pregel loop -> nested subgraph
# nodes, which a bare `aclose()` cannot do while the generator
# is running ("asynchronous generator is already running").
self._anext_task = asyncio.ensure_future(self._graph_aiter.__anext__())
try:
part = await self._anext_task
except asyncio.CancelledError:
if self._aborting:
# Abort-initiated cancel: stop gracefully.
self._exhausted = True
return False
# Genuine external cancel of this task: also stop the
# in-flight pull, then propagate.
self._anext_task.cancel()
raise
finally:
self._anext_task = None
part = await self._graph_aiter.__anext__()
event = convert_to_protocol_event(part)
self._observe_event(event)
await self._mux.apush(event)
@@ -484,40 +428,15 @@ class AsyncGraphRunStream:
async def abort(self) -> None:
"""Stop the run early.
Marks the stream exhausted and wakes any pump-waiters. Cancels an
in-flight pull if one is running, then closes the underlying graph
iterator, so running nodes and nested subgraphs are cancelled
whether or not a pump is mid-pull. Closes the mux; any `apush`
blocked on backpressure wakes and returns without appending.
Idempotent.
Marks the stream exhausted, wakes any pump-waiters, and closes
the mux. Any `apush` blocked on backpressure wakes and returns
without appending. Idempotent.
"""
async with self._pump_cond:
if self._exhausted:
return
self._exhausted = True
self._aborting = True
graph_aiter = self._graph_aiter
self._graph_aiter = None
anext_task = self._anext_task
self._pump_cond.notify_all()
# If a pump is mid-pull, cancel it so the cancellation propagates
# into running nodes and nested subgraphs. Once it settles the
# generator is no longer running, so the `aclose()` below is a safe
# final cleanup (and handles the no-in-flight-pull case directly).
if anext_task is not None and not anext_task.done():
anext_task.cancel()
try:
await anext_task
except (asyncio.CancelledError, Exception):
pass
if (
graph_aiter is not None
and (aclose := getattr(graph_aiter, "aclose", None)) is not None
):
try:
await aclose()
except Exception:
pass
try:
await self._mux.aclose()
except Exception:
@@ -604,8 +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
@@ -619,7 +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`.
@@ -631,7 +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
@@ -662,7 +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__(
@@ -672,7 +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

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