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Author SHA1 Message Date
Nick Hollon 7505c73243 Revert "Terminate sync stream iterators on stream-end, not on root-terminal lifecycle"
This reverts commit bbc71c398b.
2026-06-02 10:03:39 -04:00
Nick Hollon bbc71c398b Terminate sync stream iterators on stream-end, not on root-terminal lifecycle
The sync stream controller pushed the terminal None sentinel into every subscription queue the instant it saw a root-namespace completed/failed lifecycle event. Any event the server emits after that (e.g. a direct-child subgraph lifecycle/tasks event that feeds thread.subgraphs) was then queued behind the None and never consumed, because iterators return on the first None. This surfaced as thread.subgraphs yielding no direct-child handles for a factory/deep-agent graph on the sync client while the async client worked.

Align the sync controller with the async controller: terminate projection iterators when the shared stream ends (or on interrupt, signaled by the thread-stream), not on a mid-stream root-terminal event. Adds a regression test.
2026-06-01 22:42:33 -04:00
117 changed files with 5065 additions and 7626 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 }}
+2 -2
View File
@@ -23,7 +23,7 @@ jobs:
env:
HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
steps:
- uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- uses: actions/checkout@v6
- name: Set up Python
uses: ./.github/actions/uv_setup
@@ -33,7 +33,7 @@ jobs:
working-directory: libs/sdk-py
- 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: ${{ secrets.DOCKERHUB_USERNAME }}
+2 -2
View File
@@ -25,7 +25,7 @@ jobs:
name: "test #${{ 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: |
+3 -3
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: ${{ runner.os }}-benchmark-baseline
restore-keys: |
@@ -57,7 +57,7 @@ jobs:
echo EOF
} >> "$GITHUB_OUTPUT"
- name: Annotation
uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
uses: actions/github-script@v9
env:
CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
+6 -8
View File
@@ -30,7 +30,7 @@ jobs:
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
@@ -50,10 +50,8 @@ jobs:
- '**/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/**'
- 'libs/langgraph/langgraph/pregel/remote.py'
- 'libs/langgraph/langgraph/pregel/_remote_run_stream.py'
lint:
needs: changes
@@ -112,9 +110,9 @@ 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 +128,7 @@ 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:
+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 -8
View File
@@ -25,7 +25,7 @@ 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
@@ -51,7 +51,7 @@ 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 +87,7 @@ 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 +158,7 @@ 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.
@@ -262,7 +262,7 @@ 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
@@ -272,7 +272,7 @@ jobs:
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/
@@ -304,7 +304,7 @@ 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
@@ -314,7 +314,7 @@ jobs:
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 = [
+54 -124
View File
@@ -247,7 +247,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.8"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -260,21 +260,21 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/12/e3/bea6d0080acf183332f24dcd74c208aee5857cf8f783c3fb0bd86027d8fb/langchain_core-1.4.8.tar.gz", hash = "sha256:5bf1f8411077c904182ad8f975943d36adcbf579c4e017b3a118b719229ebf9a", size = 957974, upload-time = "2026-06-18T19:39:23.636Z" }
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" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/13/d6/bdf6f0481cc57ef300d6b1eb48cf1400c0409be715d6eb3cabadd1142a09/langchain_core-1.4.8-py3-none-any.whl", hash = "sha256:d84c28b05e3ba8d4271d0827aad5b592ccdaaf986e76768c23503f0a2045e8aa", size = 557416, upload-time = "2026-06-18T19:39:21.902Z" },
{ 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 = "0.0.18"
version = "0.0.15"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "typing-extensions" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d2/59/b5959aea96faa9146e2e49a7a22882b3528c62efafe9a6a95beab30c2305/langchain_protocol-0.0.18.tar.gz", hash = "sha256:ec3e11782f1ed0c9db38e5a9ed01b0e7a0d3fba406faa8aef6594b73c56a63e6", size = 6150, upload-time = "2026-06-18T17:08:26.959Z" }
sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/99/2e/d82db9eec13ad0f72e7aaad5c4bc730ab111934fdc83c85523206eb9b0a0/langchain_protocol-0.0.18-py3-none-any.whl", hash = "sha256:70b53a86fbf9cedc863555effe44da192ab02d556ddbf2cf95b8873adcf41b5a", size = 7221, upload-time = "2026-06-18T17:08:25.996Z" },
{ url = "https://files.pythonhosted.org/packages/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
]
[[package]]
@@ -296,6 +296,7 @@ requires-dist = [
dev = [
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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":
+10 -10
View File
@@ -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",
[
+390 -324
View File
@@ -17,16 +17,16 @@ wheels = [
[[package]]
name = "anyio"
version = "4.14.1"
version = "4.13.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
{ name = "idna" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
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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)
+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).
+11 -15
View File
@@ -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
+201 -134
View File
@@ -253,7 +253,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.8"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -266,21 +266,21 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
name = "xxhash"
version = "3.6.0"
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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)
+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).
@@ -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.
+11 -15
View File
@@ -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"
+1
View File
@@ -1,3 +1,4 @@
# mypy: disable-error-code="operator"
import asyncio
import json
from collections.abc import Iterable
+193 -135
View File
@@ -268,7 +268,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.8"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -281,21 +281,21 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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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": {
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"@langchain/langgraph": "^1.2.9"
},
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}
}
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": {
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"typescript": "^6.0.3",
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"@typescript-eslint/parser": "^8.59.1",
"prettier": "^3.8.3"
}
}
+1 -1
View File
@@ -3,7 +3,7 @@
"compilerOptions": {
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"module": "ESNext",
"moduleResolution": "bundler",
"moduleResolution": "node",
"allowSyntheticDefaultImports": true,
"esModuleInterop": true,
"skipLibCheck": true,
+187 -162
View File
@@ -28,10 +28,10 @@
debug "^4.3.1"
minimatch "^10.2.4"
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@@ -67,10 +67,10 @@
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@@ -103,53 +103,53 @@
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dependencies:
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version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.59.1.tgz#ed90d054fc3db2d0c81464db3a953a94fb85bb58"
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"@typescript-eslint/types" "8.62.1"
"@typescript-eslint/visitor-keys" "8.62.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/visitor-keys" "8.59.1"
"@typescript-eslint/tsconfig-utils@8.62.1", "@typescript-eslint/tsconfig-utils@^8.62.1":
version "8.62.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.62.1.tgz#e2b5f24fe721044189cb7e81117c96d75979d627"
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"@typescript-eslint/tsconfig-utils@8.59.1", "@typescript-eslint/tsconfig-utils@^8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.59.1.tgz#ba2a779a444f1d5cb92a606f9b209d239fd4cab1"
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"@typescript-eslint/type-utils@8.62.1":
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resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.62.1.tgz#ebd30b13bacb13070917259a23309cf644121f9a"
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"@typescript-eslint/type-utils@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.59.1.tgz#9c83d3f2ed9187a815e8120f72c08317e513e409"
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"@typescript-eslint/types" "8.62.1"
"@typescript-eslint/typescript-estree" "8.62.1"
"@typescript-eslint/utils" "8.62.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/typescript-estree" "8.59.1"
"@typescript-eslint/utils" "8.59.1"
debug "^4.4.3"
ts-api-utils "^2.5.0"
"@typescript-eslint/types@8.62.1", "@typescript-eslint/types@^8.62.1":
version "8.62.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.62.1.tgz#c58be954e483b2fc98275374d5bcb40b99842dc1"
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"@typescript-eslint/types@8.59.1", "@typescript-eslint/types@^8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.59.1.tgz#c1d014d3f03a97e0113a8899fc9d4e45a7fb0ca9"
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"@typescript-eslint/typescript-estree@8.62.1":
version "8.62.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.62.1.tgz#98c1bb17635d5b026b24193a8d29188ac64380ff"
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"@typescript-eslint/typescript-estree@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.59.1.tgz#4391fadf98a22c869c5b6522dbf4e491e53e351a"
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dependencies:
"@typescript-eslint/project-service" "8.62.1"
"@typescript-eslint/tsconfig-utils" "8.62.1"
"@typescript-eslint/types" "8.62.1"
"@typescript-eslint/visitor-keys" "8.62.1"
"@typescript-eslint/project-service" "8.59.1"
"@typescript-eslint/tsconfig-utils" "8.59.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/visitor-keys" "8.59.1"
debug "^4.4.3"
minimatch "^10.2.2"
semver "^7.7.3"
tinyglobby "^0.2.15"
ts-api-utils "^2.5.0"
"@typescript-eslint/utils@8.62.1":
version "8.62.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.62.1.tgz#1622b75c7e6df308181dd0b44855dc4228da0457"
integrity sha512-sHtbPfuKNZCG+ih8SyjjucqRntSVmp8XgL5u6o9mAhiSn8ds5o/M/XdM0abweme2Tln3szOstOrZ9OXitvPh0g==
"@typescript-eslint/utils@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.59.1.tgz#cf6204d69701bbbc5b150f98c18aeef0a42c10bd"
integrity sha512-3pIeoXhCeYH9FSCBI8P3iNwJlGuzPlYKkTlen2O9T1DSeeg8UG8jstq6BLk+Mda0qup7mgk4z4XL4OzRaxZ8LA==
dependencies:
"@eslint-community/eslint-utils" "^4.9.1"
"@typescript-eslint/scope-manager" "8.62.1"
"@typescript-eslint/types" "8.62.1"
"@typescript-eslint/typescript-estree" "8.62.1"
"@typescript-eslint/scope-manager" "8.59.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/typescript-estree" "8.59.1"
"@typescript-eslint/visitor-keys@8.62.1":
version "8.62.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.62.1.tgz#499657d77ffafb8a99eb1d6c97847ca430234722"
integrity sha512-4g3BLxfdTMy8iZG0MaBkadnlRrCJ74cQiFbyEVMrkwIoqdyaXXQM22cotDvrl4x28wgIZ9rEJRoM+mmhSJpJ1g==
"@typescript-eslint/visitor-keys@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.59.1.tgz#b5cba576287a3eeb0b400b62813189abcc3f976a"
integrity sha512-LdDNl6C5iJExcM0Yh0PwAIBb9PrSiCsWamF/JyEZawm3kFDnRoaq3LGE4bpyRao/fWeGKKyw7icx0YxrLFC5Cg==
dependencies:
"@typescript-eslint/types" "8.62.1"
"@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"
@@ -1542,10 +1557,10 @@ 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 +1783,12 @@ 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 +1813,17 @@ 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@^2.9.14:
version "2.9.14"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.14.tgz#d412fcc4c9bd8dba29cec5bbd54d5a74ab2b1bee"
integrity sha512-BQqXRr4UoWI3UPFrtznCLykYHxwxWh53iCB57x092jPMjIlW1wnm3N895g5irpiXmnxUhREBB0n6+y8BHhs4nw==
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" "2.9.14"
"@turbo/darwin-arm64" "2.9.14"
"@turbo/linux-64" "2.9.14"
"@turbo/linux-arm64" "2.9.14"
"@turbo/windows-64" "2.9.14"
"@turbo/windows-arm64" "2.9.14"
type-check@^0.4.0, type-check@~0.4.0:
version "0.4.0"
@@ -1862,10 +1877,10 @@ 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 +1899,16 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
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__ = "0.4.27"
+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,
)
+1 -162
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
@@ -42,31 +41,6 @@ _API_VERSION_PATTERN = re.compile(
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:
@@ -167,133 +141,6 @@ def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
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):
@@ -347,12 +194,7 @@ 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 = _parse_api_version_parts(api_version)
if len(parts) > 3:
raise ValueError(
"Version must be major or major.minor or major.minor.patch."
@@ -1588,9 +1430,6 @@ 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}"
+49 -120
View File
@@ -366,42 +366,6 @@ 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 +525,12 @@ 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:
@@ -939,7 +897,6 @@ 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,
@@ -953,57 +910,51 @@ def _run_local_build(
# (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 +1023,7 @@ def _run_local_build(
subp_exec(
"docker",
"tag",
image_to_push,
local_tag,
remote_image,
verbose=verbose,
)
@@ -1472,13 +1423,6 @@ 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 +1523,6 @@ 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 +1569,7 @@ 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:
@@ -1701,7 +1639,6 @@ 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,
@@ -1786,12 +1723,8 @@ 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 +1768,8 @@ 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
+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,<0.10.0 ; 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)
-157
View File
@@ -2961,163 +2961,6 @@ def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
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."""
@@ -1,4 +1,3 @@
import asyncio
import base64
import io
import json
@@ -7,11 +6,9 @@ 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,
@@ -22,7 +19,6 @@ from langgraph_cli.deploy import (
_resolve_env_path,
_resolve_pushed_image_digest,
_smith_dashboard_base_url,
_validate_prebuilt_image,
normalize_image_tag,
normalize_name,
)
@@ -99,65 +95,6 @@ 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"
+3 -3
View File
@@ -237,14 +237,14 @@ wheels = [
[[package]]
name = "langchain-protocol"
version = "0.0.17"
version = "0.0.15"
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" }
sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
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/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
]
[[package]]
+3 -3
View File
@@ -211,14 +211,14 @@ wheels = [
[[package]]
name = "langchain-protocol"
version = "0.0.17"
version = "0.0.15"
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" }
sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
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/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
]
[[package]]
+405 -382
View File
File diff suppressed because it is too large Load Diff
+5 -2
View File
@@ -111,19 +111,22 @@ test_watch_all:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E r'\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check langgraph
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
type:
uv run ty check langgraph
mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+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
+13 -69
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,
@@ -80,42 +79,6 @@ 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).
@@ -163,10 +126,10 @@ 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
@@ -343,28 +306,6 @@ 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
@@ -386,11 +327,14 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
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),
# Shallow-merge metadata dicts across configs so values
# bound via with_config(...) (e.g. user_id) are preserved
# when later configs supply other metadata keys.
existing = empty.get("metadata")
empty["metadata"] = (
{**cast(dict, existing), **cast(dict, v)}
if existing
else cast(dict, v).copy()
)
elif k == "tags":
# Concatenate tags across configs so values bound via
@@ -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
+3 -1
View File
@@ -172,11 +172,13 @@ 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))
+1 -94
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
@@ -14,7 +13,6 @@ 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
@@ -36,17 +34,6 @@ 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]],
@@ -71,81 +58,6 @@ def delta_channels_to_snapshot(
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()
}
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,
@@ -178,11 +90,6 @@ 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
+2 -27
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,
@@ -222,11 +220,6 @@ 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`
@@ -683,11 +676,6 @@ 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,
@@ -991,11 +979,6 @@ 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,
@@ -1136,7 +1119,6 @@ class PregelLoop:
# create new checkpoint
channels_to_snapshot = (
delta_channels_to_snapshot(self.channels, new_counters)
| self._delta_channels_with_overwrite
if do_checkpoint
else set()
)
@@ -1153,8 +1135,6 @@ class PregelLoop:
)
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
@@ -1237,10 +1217,7 @@ class PregelLoop:
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
)
channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
pending = [
(step, tid, ch, v)
@@ -1295,7 +1272,7 @@ 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,
@@ -1684,7 +1661,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
)
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
)
@@ -1942,7 +1918,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
)
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
)
+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:
+8 -89
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 SubgraphStatus
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:
+12 -17
View File
@@ -419,11 +419,6 @@ class _TasksLifecycleBase(StreamTransformer):
# `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
# --- Template-method hooks (subclass overrides) ---
@@ -436,11 +431,10 @@ class _TasksLifecycleBase(StreamTransformer):
ns: tuple[str, ...],
graph_name: str | None,
trigger_call_id: str | None,
*,
cause: LifecycleCause | None = None,
) -> None:
"""Fired once per discovered namespace (first observed task event).
The triggering `cause` (if any) is available as `self._pending_cause`.
"""
"""Fired once per discovered namespace (first observed task event)."""
raise NotImplementedError
def _on_terminal(
@@ -538,10 +532,7 @@ class _TasksLifecycleBase(StreamTransformer):
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)
self._on_started(ns, graph_name, trigger_call_id, cause=cause)
if trigger_call_id is not None:
self._open[ns] = trigger_call_id
@@ -640,6 +631,8 @@ class LifecycleTransformer(_TasksLifecycleBase):
ns: tuple[str, ...],
graph_name: str | None,
trigger_call_id: str | None,
*,
cause: LifecycleCause | None = None,
) -> None:
if trigger_call_id is None:
# Without a task id we can't correlate a parent-result
@@ -650,7 +643,6 @@ class LifecycleTransformer(_TasksLifecycleBase):
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
self._channel.push(payload)
@@ -715,6 +707,8 @@ class SubgraphTransformer(_TasksLifecycleBase):
ns: tuple[str, ...],
graph_name: str | None,
trigger_call_id: str | None,
*,
cause: LifecycleCause | None = None,
) -> None:
if self._mux is None:
return
@@ -723,9 +717,10 @@ 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.
# `cause` is intentionally ignored here: it is a wire/lifecycle-channel
# concern (carried on `LifecyclePayload`), not something the in-process
# subgraph navigation handle exposes. The argument is accepted only to
# keep the `_on_started` template signature uniform across transformers.
handle = handle_cls(
mux=child_mux,
path=ns,
+1 -7
View File
@@ -32,7 +32,7 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10, LangGraphDeprecatedS
# Local TypeVars for generic stream TypedDicts.
# We use separate TypeVars here (rather than importing from langgraph.typing)
# because the typing module TypeVars have defaults that cause type checker issues
# because the typing module TypeVars have defaults that cause mypy issues
# when used in standalone type aliases.
StateT = TypeVar("StateT")
OutputT = TypeVar("OutputT")
@@ -976,9 +976,3 @@ class Overwrite:
value: Any
"""The value to write directly to the channel, bypassing any reducer."""
type: Literal["__overwrite__"] = "__overwrite__"
"""Discriminator field. Lets the channel reducer recognise an `Overwrite`
even after its dataclass form is JSON-serialised and the typed instance
is lost (e.g. an `orjson`-encoded state update routed through the
LangGraph API server)."""
+12 -21
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.10"
version = "1.2.3"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -24,7 +24,7 @@ classifiers = [
'Programming Language :: Python :: 3.13',
]
dependencies = [
"langchain-core>=1.4.7,<2",
"langchain-core>=1.4.0,<2",
"langgraph-checkpoint>=4.1.0,<5.0.0",
"langgraph-sdk>=0.4.2,<0.5.0",
"langgraph-prebuilt>=1.1.0,<1.2.0",
@@ -69,8 +69,8 @@ test = [
"redis",
]
lint = [
"mypy",
"ruff",
"ty",
"types-requests",
]
dev = [
@@ -99,24 +99,15 @@ target-version = "py310"
[tool.ruff.lint.flake8-tidy-imports.banned-api]
"typing.TypedDict".msg = "Use typing_extensions.TypedDict instead."
[tool.ty.rules]
call-non-callable = "ignore"
deprecated = "ignore"
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-key = "ignore"
invalid-method-override = "ignore"
invalid-paramspec = "ignore"
invalid-return-type = "ignore"
invalid-type-form = "ignore"
invalid-yield = "ignore"
missing-typed-dict-key = "ignore"
no-matching-overload = "ignore"
not-iterable = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unsupported-base = "ignore"
unsupported-operator = "ignore"
[tool.mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html
disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value, override, has-type"
[tool.coverage.run]
omit = ["tests/*"]
-131
View File
@@ -186,50 +186,6 @@ def test_delta_channel_overwrite() -> None:
assert ch.get()[0].content == "new"
def test_overwrite_dataclass_form_survives_json_roundtrip() -> None:
"""`Overwrite` serialised with `orjson` collapses to a plain dict but
must still be recognised as an overwrite by the channel reducer.
Without the `type` discriminator the dataclass-erased shape (`{"value":
...}`) is indistinguishable from a literal channel value, and downstream
reducers raise `MESSAGE_COERCION_FAILURE` (or similar) on read.
"""
import orjson
from langgraph._internal._constants import OVERWRITE
from langgraph.channels.binop import _get_overwrite
ow = Overwrite(value=[HumanMessage(content="new", id="h2")])
erased = orjson.loads(orjson.dumps(ow, default=lambda o: o.model_dump()))
assert erased["type"] == OVERWRITE
is_overwrite, value = _get_overwrite(erased)
assert is_overwrite
assert isinstance(value, list)
assert value[0]["content"] == "new"
def test_overwrite_sentinel_dict_still_recognised() -> None:
"""The pre-existing `{"__overwrite__": value}` dict form continues to be
recognised. This is the canonical sentinel emitted by producers that do
not have an `Overwrite` dataclass available."""
from langgraph._internal._constants import OVERWRITE
from langgraph.channels.binop import _get_overwrite
is_overwrite, value = _get_overwrite({OVERWRITE: ["b"]})
assert is_overwrite
assert value == ["b"]
def test_overwrite_non_matching_dict_not_recognised() -> None:
"""Dicts that resemble the erased shape but do not carry the
`__overwrite__` discriminator must not be misclassified as overwrites."""
from langgraph.channels.binop import _get_overwrite
assert _get_overwrite({"value": ["b"]}) == (False, None)
assert _get_overwrite({"type": "human", "value": "hi"}) == (False, None)
def test_delta_channel_remove_message_and_replay() -> None:
"""RemoveMessage must round-trip correctly when writes are replayed."""
spec = DeltaChannel(_messages_delta_reducer, list)
@@ -441,93 +397,6 @@ def test_delta_channel_inmemory_saver_assembles_writes() -> None:
assert len(state.values["messages"]) == 4 # 2 human + 2 AI
def test_delta_channel_overwrite_superstep_snapshots() -> None:
def reducer(state: list[str], writes: Sequence[list[str]]) -> list[str]:
result = list(state)
for write in writes:
result.extend(write)
return result
class State(TypedDict):
items: Annotated[
list[str], DeltaChannel(reducer, list, snapshot_frequency=1000)
]
def node_a(state: State) -> dict:
return {"items": ["a"]}
def node_b(state: State) -> dict:
return {"items": Overwrite(["b"])}
def node_c(state: State) -> dict:
return {"items": ["c"]}
builder = StateGraph(State)
builder.add_node("node_a", node_a)
builder.add_node("node_b", node_b)
builder.add_node("node_c", node_c)
builder.add_edge(START, "node_a")
builder.add_edge("node_a", "node_b")
builder.add_edge("node_a", "node_c")
saver = InMemorySaver()
graph = builder.compile(checkpointer=saver)
config = {"configurable": {"thread_id": "overwrite-snapshot"}}
result = graph.invoke({"items": ["START"]}, config)
assert result == {"items": ["b"]}
saved = saver.get_tuple(config)
assert saved is not None
snapshot = saved.checkpoint["channel_values"].get("items")
assert isinstance(snapshot, _DeltaSnapshot)
assert snapshot.value == ["b"]
assert saved.metadata.get("counters_since_delta_snapshot", {}).get("items") is None
def test_delta_channel_replay_after_overwrite_snapshot() -> None:
def reducer(state: list[str], writes: Sequence[list[str]]) -> list[str]:
result = list(state)
for write in writes:
result.extend(write)
return result
class State(TypedDict):
items: Annotated[
list[str], DeltaChannel(reducer, list, snapshot_frequency=1000)
]
calls = 0
def node(state: State) -> dict:
nonlocal calls
calls += 1
if calls == 1:
return {"items": Overwrite(["reset"])}
return {"items": ["after"]}
builder = StateGraph(State)
builder.add_node("node", node)
builder.add_edge(START, "node")
saver = InMemorySaver()
graph = builder.compile(checkpointer=saver)
config = {"configurable": {"thread_id": "overwrite-replay"}}
assert graph.invoke({"items": ["before"]}, config) == {"items": ["reset"]}
first_saved = saver.get_tuple(config)
assert first_saved is not None
assert isinstance(
first_saved.checkpoint["channel_values"].get("items"), _DeltaSnapshot
)
assert graph.invoke({"items": []}, config) == {"items": ["reset", "after"]}
second_saved = saver.get_tuple(config)
assert second_saved is not None
assert "items" not in second_saved.checkpoint["channel_values"]
assert graph.get_state(config).values == {"items": ["reset", "after"]}
# ---------------------------------------------------------------------------
# DeltaChannel — dict reducer
# ---------------------------------------------------------------------------
@@ -6,7 +6,6 @@ channel), lazy stub creation when no parent exists, and proper read-path
reconstruction via ancestor walks.
"""
import uuid
from typing import Annotated, Any
import pytest
@@ -18,28 +17,10 @@ from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
from langgraph.pregel._checkpoint import exit_delta_task_id
pytestmark = pytest.mark.anyio
def test_exit_delta_task_id_is_valid_uuid_and_ordered() -> None:
"""Exit-mode synthetic task ids must parse as UUID and sort by superstep."""
tid = "4f7226e4-0270-bf16-1ef8-fb321bef9f3d"
id1 = exit_delta_task_id(1, tid)
id7 = exit_delta_task_id(7, tid)
uuid.UUID(id1)
uuid.UUID(id7)
assert id1 < id7
assert id1.split("-")[0] == "00000001"
assert id7.split("-")[0] == "00000007"
assert id1.endswith("-0270-bf16-1ef8-fb321bef9f3d")
with pytest.raises(ValueError):
uuid.UUID(f"00000001-{tid}")
def _build_graph(
checkpointer: InMemorySaver,
*,
@@ -1,340 +0,0 @@
"""Tests for `update_state` / `aupdate_state` against `DeltaChannel`.
Regression suite for deepagents#3774 and Postgres read-path compatibility.
Fresh-thread ``update_state`` force-snapshots DeltaChannels (1.2.8). Non-fresh
``update_state`` persists ``checkpoint_writes`` on the parent, advances
``counters_since_delta_snapshot`` on the new head, and snapshots when a
channel reaches ``snapshot_frequency`` (mirroring normal run cadence).
Coverage:
* fresh-thread regression: single ``update_state`` writes a message and reads back
* non-fresh thread: ``update_state`` after ``invoke``, after another ``update_state``,
and ``bulk_update_state`` with multiple per-superstep updates
* update-by-id end-to-end via ``update_state`` (DeltaChannel reducer semantics)
* fresh-thread head is snapshotted; non-fresh heads carry delta replay counters
"""
from typing import Annotated, Any
import pytest
from langchain_core.messages import HumanMessage
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
pytestmark = pytest.mark.anyio
def _build_graph(
checkpointer: InMemorySaver,
*,
two_nodes: bool = False,
snapshot_frequency: int = 1000,
) -> Any:
"""Compile a minimal DeltaChannel-backed `messages` graph.
`two_nodes=True` adds a second writer node so `bulk_update_state` can route
distinct updates to different `as_node` values within a single superstep.
"""
channel = DeltaChannel(
_messages_delta_reducer, snapshot_frequency=snapshot_frequency
)
State = TypedDict("State", {"messages": Annotated[list, channel]}) # type: ignore[call-overload] # noqa: UP013
def model(state: dict) -> dict:
return {}
def assistant(state: dict) -> dict:
return {}
builder = StateGraph(State)
builder.add_node("model", model)
builder.add_edge(START, "model")
if two_nodes:
builder.add_node("assistant", assistant)
builder.add_edge("model", "assistant")
builder.set_finish_point("assistant")
else:
builder.set_finish_point("model")
return builder.compile(checkpointer=checkpointer)
# ---------------------------------------------------------------------------
# Fresh-thread regression (deepagents#3774)
# ---------------------------------------------------------------------------
def test_update_state_fresh_thread_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "fresh-sync"}}
message = HumanMessage(content="hello", id="m1")
graph.update_state(config, {"messages": [message]}, as_node="model")
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["hello"]
async def test_aupdate_state_fresh_thread_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "fresh-async"}}
message = HumanMessage(content="hello", id="m1")
await graph.aupdate_state(config, {"messages": [message]}, as_node="model")
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["hello"]
def test_fresh_update_state_head_snapshots_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "fresh-head-snapshot"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="hello", id="m1")]},
as_node="model",
)
head = saver.get_tuple(config)
assert head is not None
assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
assert head.metadata is not None
assert "counters_since_delta_snapshot" not in head.metadata
# ---------------------------------------------------------------------------
# Non-fresh thread: update_state after invoke
# ---------------------------------------------------------------------------
def test_update_state_after_invoke_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "after-invoke-sync"}}
graph.invoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
graph.update_state(
config,
{"messages": [HumanMessage(content="appended", id="m2")]},
as_node="model",
)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
head = saver.get_tuple(config)
assert head is not None
assert "messages" not in head.checkpoint["channel_values"]
assert head.metadata is not None
assert head.metadata["counters_since_delta_snapshot"]["messages"] == [2, 4]
async def test_aupdate_state_after_invoke_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "after-invoke-async"}}
await graph.ainvoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="appended", id="m2")]},
as_node="model",
)
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
# ---------------------------------------------------------------------------
# Non-fresh thread: consecutive update_state calls
# ---------------------------------------------------------------------------
def test_consecutive_update_states_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "consecutive-sync"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
)
graph.update_state(
config,
{"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["first", "second"]
assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
head = saver.get_tuple(config)
assert head is not None
assert "messages" not in head.checkpoint["channel_values"]
assert head.metadata is not None
assert head.metadata["counters_since_delta_snapshot"]["messages"] == [1, 1]
def test_update_state_snapshots_at_frequency() -> None:
"""Non-fresh update_state snapshots when counters reach snapshot_frequency."""
saver = InMemorySaver()
graph = _build_graph(saver, snapshot_frequency=1)
config = {"configurable": {"thread_id": "snapshot-at-freq"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
)
graph.update_state(
config,
{"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["first", "second"]
head = saver.get_tuple(config)
assert head is not None
assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
assert head.metadata is not None
assert "counters_since_delta_snapshot" not in head.metadata
async def test_aconsecutive_update_states_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "consecutive-async"}}
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
)
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
)
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["first", "second"]
# ---------------------------------------------------------------------------
# Update-by-id semantics through the update_state path
# ---------------------------------------------------------------------------
def test_update_state_replaces_message_by_id_delta_channel() -> None:
"""`_messages_delta_reducer` dedups by `id` — re-issuing a write with the
same id replaces the existing entry rather than appending. Verify this
works through the `update_state` path (not just `invoke`)."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "update-by-id"}}
graph.invoke({"messages": [HumanMessage(content="original", id="h1")]}, config)
graph.update_state(
config,
{"messages": [HumanMessage(content="updated", id="h1")]},
as_node="model",
)
state = graph.get_state(config)
msgs = state.values["messages"]
assert len(msgs) == 1
assert msgs[0].id == "h1"
assert msgs[0].content == "updated"
# ---------------------------------------------------------------------------
# bulk_update_state with multiple updates per superstep
# ---------------------------------------------------------------------------
def test_bulk_update_state_multi_task_per_superstep_delta_channel() -> None:
"""`bulk_update_state` with N updates in one superstep produces N tasks
that each call `put_writes`. Guards the regression where moving
`put_writes` outside the per-task loop would persist only the last
task's writes.
Explicit `task_id`s are required to disambiguate writes belonging to
different `StateUpdate`s targeting the same node otherwise both share
the deterministic interrupt-derived id and collide in the saver.
"""
from langgraph.types import StateUpdate
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "bulk-multi-task"}}
graph.bulk_update_state(
config,
[
[
StateUpdate(
values={"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
task_id="task-1",
),
StateUpdate(
values={"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
task_id="task-2",
),
]
],
)
state = graph.get_state(config)
contents = [m.content for m in state.values["messages"]]
ids = [m.id for m in state.values["messages"]]
assert sorted(contents) == ["first", "second"], (
f"both updates' writes must persist; got {contents}"
)
assert sorted(ids) == ["m1", "m2"]
# ---------------------------------------------------------------------------
# Public-API observation of fresh-thread checkpoint shape
# ---------------------------------------------------------------------------
def test_state_history_chain_after_fresh_update_state_delta_channel() -> None:
"""A fresh-thread `update_state` should produce a single self-contained
checkpoint visible via `get_state_history`: step=0, `source='update'`,
no parent, with the DeltaChannel value snapshotted inline."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "history-chain"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="hello", id="m1")]},
as_node="model",
)
history = list(graph.get_state_history(config))
assert len(history) == 1
(update_snapshot,) = history
assert update_snapshot.metadata is not None
assert update_snapshot.metadata["source"] == "update"
assert update_snapshot.metadata["step"] == 0
assert update_snapshot.parent_config is None
assert [m.content for m in update_snapshot.values["messages"]] == ["hello"]
-7
View File
@@ -9,7 +9,6 @@ import pytest
from langchain_core.messages import AIMessage, AnyMessage, ToolCall
from langchain_core.runnables import RunnableConfig, RunnableMap, RunnablePick
from langchain_core.tools import tool
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.prebuilt.chat_agent_executor import create_react_agent
@@ -1400,7 +1399,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
(
@@ -1463,7 +1461,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -1516,7 +1513,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -6888,7 +6884,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -6916,7 +6911,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -6953,7 +6947,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -11,7 +11,6 @@ from typing import (
import pytest
from langchain_core.messages import AnyMessage, ToolCall
from langchain_core.runnables import RunnableConfig, RunnablePick
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.prebuilt.chat_agent_executor import create_react_agent
from langgraph.prebuilt.tool_node import ToolNode
@@ -1151,7 +1150,6 @@ async def test_prebuilt_tool_chat() -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
(
@@ -1214,7 +1212,6 @@ async def test_prebuilt_tool_chat() -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -1267,7 +1264,6 @@ async def test_prebuilt_tool_chat() -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -3985,7 +3981,6 @@ async def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -4013,7 +4008,6 @@ async def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -4050,7 +4044,6 @@ async def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
+40 -31
View File
@@ -23,7 +23,6 @@ from langchain_core.runnables import (
RunnablePassthrough,
)
from langchain_core.runnables.graph import Edge
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.cache.base import BaseCache
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
@@ -2755,26 +2754,23 @@ def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
"answer": "doc1,doc2,doc3,doc4",
}
rewrite = {"rewrite_query": {"query": "query: what is weather in sf"}}
analyzer = {"analyzer_one": {"query": "analyzed: query: what is weather in sf"}}
empty_qa = {"qa": {"answer": ""}}
retriever_one_result = {"retriever_one": {"docs": ["doc1", "doc2"]}}
retriever_two_result = {"retriever_two": {"docs": ["doc3", "doc4"]}}
def assert_valid_stream_order(
chunks: list[dict[str, Any]], terminal: dict[str, Any]
) -> None:
assert chunks[0] == rewrite
assert chunks[-1] == terminal
middle = chunks[1:-1]
assert sorted(middle, key=repr) == sorted(
[empty_qa, analyzer, retriever_one_result, retriever_two_result], key=repr
)
assert middle.index(analyzer) < middle.index(retriever_one_result)
assert_valid_stream_order(
[*app.stream({"query": "what is weather in sf"})],
{"qa": {"answer": "doc1,doc2,doc3,doc4"}},
assert [*app.stream({"query": "what is weather in sf"})] in (
[
{"rewrite_query": {"query": "query: what is weather in sf"}},
{"qa": {"answer": ""}},
{"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
{"retriever_two": {"docs": ["doc3", "doc4"]}},
{"retriever_one": {"docs": ["doc1", "doc2"]}},
{"qa": {"answer": "doc1,doc2,doc3,doc4"}},
],
[
{"rewrite_query": {"query": "query: what is weather in sf"}},
{"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
{"qa": {"answer": ""}},
{"retriever_two": {"docs": ["doc3", "doc4"]}},
{"retriever_one": {"docs": ["doc1", "doc2"]}},
{"qa": {"answer": "doc1,doc2,doc3,doc4"}},
],
)
app_w_interrupt = workflow.compile(
@@ -2783,9 +2779,25 @@ def test_in_one_fan_out_state_graph_waiting_edge_plus_regular(
)
config = {"configurable": {"thread_id": "1"}}
assert_valid_stream_order(
[c for c in app_w_interrupt.stream({"query": "what is weather in sf"}, config)],
{"__interrupt__": ()},
assert [
c for c in app_w_interrupt.stream({"query": "what is weather in sf"}, config)
] in (
[
{"rewrite_query": {"query": "query: what is weather in sf"}},
{"qa": {"answer": ""}},
{"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
{"retriever_two": {"docs": ["doc3", "doc4"]}},
{"retriever_one": {"docs": ["doc1", "doc2"]}},
{"__interrupt__": ()},
],
[
{"rewrite_query": {"query": "query: what is weather in sf"}},
{"analyzer_one": {"query": "analyzed: query: what is weather in sf"}},
{"qa": {"answer": ""}},
{"retriever_two": {"docs": ["doc3", "doc4"]}},
{"retriever_one": {"docs": ["doc1", "doc2"]}},
{"__interrupt__": ()},
],
)
assert [c for c in app_w_interrupt.stream(None, config)] == [
@@ -6278,15 +6290,14 @@ def test_sync_streaming_with_functional_api() -> None:
rather than have all the results arrive at once after the graph has completed.
The time of arrival between the two updates corresponding to the two `slow` tasks
should be roughly the task delay. If results are buffered until graph completion,
the two updates arrive back-to-back instead.
should be greater than the time delay between the two tasks.
"""
time_delay = 0.05
@task()
def slow() -> dict:
time.sleep(time_delay)
time.sleep(time_delay) # Simulate a delay of 10 ms
return {"tic": time.monotonic()}
@entrypoint()
@@ -6304,9 +6315,8 @@ def test_sync_streaming_with_functional_api() -> None:
assert len(arrival_times) == 2
delta = arrival_times[1] - arrival_times[0]
# Allow a small amount of scheduler jitter while still verifying the chunks
# arrived separately rather than back-to-back after graph completion.
assert delta > time_delay * 0.8
# Delta cannot be less than 10 ms if it is streaming as results are generated.
assert delta > time_delay
def test_entrypoint_without_checkpointer() -> None:
@@ -6913,7 +6923,6 @@ def test_tags_stream_mode_messages() -> None:
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
"tags": ["meow"],
},
)
+272 -111
View File
@@ -24,7 +24,6 @@ from langchain_core.language_models import GenericFakeChatModel
from langchain_core.messages import HumanMessage
from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
from langchain_core.utils.aiter import aclosing
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.cache.base import BaseCache
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
@@ -7605,7 +7604,6 @@ async def test_tags_stream_mode_messages() -> None:
"ls_provider": "genericfakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
"tags": ["meow"],
},
)
@@ -8763,117 +8761,280 @@ async def test_imp_exception(
{"my_workflow": "done"},
]
events = [c async for c in my_workflow.astream_events(1, thread1)]
assert [(event["event"], event["name"]) for event in events] == [
("on_chain_start", "LangGraph"),
("on_chain_start", "my_workflow"),
("on_chain_start", "my_task"),
("on_chain_stream", "my_task"),
("on_chain_end", "my_task"),
("on_chain_stream", "LangGraph"),
("on_chain_start", "task_with_exception"),
("on_chain_start", "my_task"),
("on_chain_stream", "my_task"),
("on_chain_end", "my_task"),
("on_chain_stream", "my_workflow"),
("on_chain_stream", "LangGraph"),
("on_chain_end", "my_workflow"),
("on_chain_stream", "LangGraph"),
("on_chain_end", "LangGraph"),
assert [c async for c in my_workflow.astream_events(1, thread1)] == [
{
"event": "on_chain_start",
"data": {"input": 1},
"name": "LangGraph",
"tags": [],
"run_id": AnyStr(),
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"parent_ids": [],
},
{
"event": "on_chain_start",
"data": {"input": 1},
"name": "my_workflow",
"tags": ["graph:step:4"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_workflow",
"langgraph_triggers": ("__start__",),
"langgraph_path": ("__pregel_pull", "my_workflow"),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [AnyStr()],
},
{
"event": "on_chain_start",
"data": {"input": {"number": 1}},
"name": "my_task",
"tags": ["seq:step:1"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"data": {"chunk": 2},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_end",
"data": {"output": 2, "input": {"number": 1}},
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"data": {"chunk": {"my_task": 2}},
"parent_ids": [],
},
{
"event": "on_chain_start",
"data": {"input": {"number": 1}},
"name": "task_with_exception",
"tags": ["seq:step:1"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_start",
"data": {"input": {"number": 1}},
"name": "my_task",
"tags": ["seq:step:1"],
"run_id": AnyStr(),
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"data": {"chunk": 2},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_end",
"data": {"output": 2, "input": {"number": 1}},
"run_id": AnyStr(),
"name": "my_task",
"tags": ["seq:step:1"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_task",
"langgraph_triggers": ("__pregel_push",),
"langgraph_path": (
"__pregel_push",
("__pregel_pull", "my_workflow"),
2,
True,
),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [
AnyStr(),
AnyStr(),
],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "my_workflow",
"tags": ["graph:step:4"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_workflow",
"langgraph_triggers": ("__start__",),
"langgraph_path": ("__pregel_pull", "my_workflow"),
"langgraph_checkpoint_ns": AnyStr(),
},
"data": {"chunk": "done"},
"parent_ids": [AnyStr()],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"data": {"chunk": {"my_task": 2}},
"parent_ids": [],
},
{
"event": "on_chain_end",
"data": {"output": "done", "input": 1},
"run_id": AnyStr(),
"name": "my_workflow",
"tags": ["graph:step:4"],
"metadata": {
"thread_id": "1",
"ls_integration": "langgraph",
"langgraph_step": 4,
"langgraph_node": "my_workflow",
"langgraph_triggers": ("__start__",),
"langgraph_path": ("__pregel_pull", "my_workflow"),
"langgraph_checkpoint_ns": AnyStr(),
},
"parent_ids": [AnyStr()],
},
{
"event": "on_chain_stream",
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"data": {"chunk": {"my_workflow": "done"}},
"parent_ids": [],
},
{
"event": "on_chain_end",
"data": {"output": "done"},
"run_id": AnyStr(),
"name": "LangGraph",
"tags": [],
"metadata": {"thread_id": "1", "ls_integration": "langgraph"},
"parent_ids": [],
},
]
root_events = [event for event in events if event["name"] == "LangGraph"]
for event in root_events:
assert event["tags"] == []
assert event["metadata"]["thread_id"] == "1"
assert event["metadata"]["ls_integration"] == "langgraph"
assert event["parent_ids"] == []
workflow_events = [event for event in events if event["name"] == "my_workflow"]
for event in workflow_events:
assert event["tags"] == ["graph:step:4"]
metadata = event["metadata"]
assert metadata["thread_id"] == "1"
assert metadata["ls_integration"] == "langgraph"
assert metadata["langgraph_step"] == 4
assert metadata["langgraph_node"] == "my_workflow"
assert metadata["langgraph_triggers"] == ("__start__",)
assert metadata["langgraph_path"] == ("__pregel_pull", "my_workflow")
assert isinstance(metadata["langgraph_checkpoint_ns"], str)
assert len(event["parent_ids"]) == 1
task_events = [event for event in events if event["name"] == "my_task"]
assert len(task_events) == 6
for event in task_events:
assert event["tags"] == ["seq:step:1"]
metadata = event["metadata"]
assert metadata["thread_id"] == "1"
assert metadata["ls_integration"] == "langgraph"
assert metadata["langgraph_step"] == 4
assert metadata["langgraph_node"] == "my_task"
assert metadata["langgraph_triggers"] == ("__pregel_push",)
assert metadata["langgraph_path"][:2] == (
"__pregel_push",
("__pregel_pull", "my_workflow"),
)
assert metadata["langgraph_path"][-1] is True
assert isinstance(metadata["langgraph_checkpoint_ns"], str)
assert len(event["parent_ids"]) == 2
task_with_exception_event = next(
event for event in events if event["name"] == "task_with_exception"
)
assert task_with_exception_event["event"] == "on_chain_start"
assert task_with_exception_event["data"] == {"input": {"number": 1}}
assert task_with_exception_event["tags"] == ["seq:step:1"]
metadata = task_with_exception_event["metadata"]
assert metadata["thread_id"] == "1"
assert metadata["ls_integration"] == "langgraph"
assert metadata["langgraph_step"] == 4
assert metadata["langgraph_node"] == "task_with_exception"
assert metadata["langgraph_triggers"] == ("__pregel_push",)
assert metadata["langgraph_path"][:2] == (
"__pregel_push",
("__pregel_pull", "my_workflow"),
)
assert metadata["langgraph_path"][-1] is True
assert isinstance(metadata["langgraph_checkpoint_ns"], str)
assert len(task_with_exception_event["parent_ids"]) == 2
assert [
event["data"]
for event in events
if event["event"] == "on_chain_stream" and event["name"] == "LangGraph"
] == [
{"chunk": {"my_task": 2}},
{"chunk": {"my_task": 2}},
{"chunk": {"my_workflow": "done"}},
]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_stream" and event["name"] == "my_task"
] == [{"chunk": 2}, {"chunk": 2}]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_end" and event["name"] == "my_task"
] == [
{"output": 2, "input": {"number": 1}},
{"output": 2, "input": {"number": 1}},
]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_stream" and event["name"] == "my_workflow"
] == [{"chunk": "done"}]
assert [
event["data"]
for event in events
if event["event"] == "on_chain_end" and event["name"] == "my_workflow"
] == [{"output": "done", "input": 1}]
assert events[-1]["data"] == {"output": "done"}
@pytest.mark.parametrize("with_timeout", [False, "inner", "outer", "both"])
@pytest.mark.parametrize("subgraph_persist", [True, False])
@@ -607,164 +607,6 @@ class TestStreamV2Async:
_ = await anext(aiter(run.values))
assert run._exhausted is True
async def test_abort_cancels_running_subgraph(self) -> None:
class CountState(TypedDict):
count: int
runs: list[int] = []
async def sub_node(state: CountState) -> dict:
runs.append(state["count"] + 1)
await asyncio.sleep(0.05)
return {"count": state["count"] + 1}
sub_graph = (
StateGraph(CountState)
.add_node("sub_node", sub_node)
.set_entry_point("sub_node")
.add_conditional_edges(
"sub_node",
lambda s: END if s["count"] >= 10 else "sub_node",
)
.compile()
)
async def main_node(state: CountState) -> None:
await sub_graph.ainvoke({"count": 0})
main_graph = (
StateGraph(CountState)
.add_node("main_node", main_node)
.set_entry_point("main_node")
.compile()
)
run = await main_graph.astream_events({"count": 0}, version="v3")
async for e in run:
if (
e["method"] == "values"
and e["params"]["namespace"]
and e["params"]["data"]["count"] >= 2
):
break
await run.abort()
runs_at_abort = len(runs)
# Give the (now-cancelled) subgraph a chance to keep looping.
await asyncio.sleep(0.3)
assert len(runs) == runs_at_abort
assert len(runs) < 10
async def test_abort_cancels_deeply_nested_subgraph(self) -> None:
class CountState(TypedDict):
count: int
runs: list[int] = []
async def deep_node(state: CountState) -> dict:
runs.append(state["count"] + 1)
await asyncio.sleep(0.05)
return {"count": state["count"] + 1}
# Deepest graph loops until count >= 10.
graph = (
StateGraph(CountState)
.add_node("deep_node", deep_node)
.set_entry_point("deep_node")
.add_conditional_edges(
"deep_node",
lambda s: END if s["count"] >= 10 else "deep_node",
)
.compile()
)
# Wrap it three times: graph -> subgraph -> subgraph -> subgraph.
for _ in range(3):
async def caller(state: CountState, _child: Any = graph) -> dict:
return await _child.ainvoke({"count": 0})
graph = (
StateGraph(CountState)
.add_node("caller", caller)
.set_entry_point("caller")
.compile()
)
run = await graph.astream_events({"count": 0}, version="v3")
async for e in run:
if (
e["method"] == "values"
and e["params"]["namespace"]
and e["params"]["data"]["count"] >= 2
):
break
await run.abort()
runs_at_abort = len(runs)
# Give the (now-cancelled) nested subgraph a chance to keep looping.
await asyncio.sleep(0.3)
assert len(runs) == runs_at_abort
assert len(runs) < 10
async def test_abort_cancels_subgraph_during_inflight_pump(self) -> None:
class CountState(TypedDict):
count: int
started = asyncio.Event()
cancelled = asyncio.Event()
async def sub_node(state: CountState) -> dict:
started.set()
try:
# Long-running node: still in flight when abort fires.
await asyncio.sleep(5)
except asyncio.CancelledError:
cancelled.set()
raise
return {"count": state["count"] + 1}
sub_graph = (
StateGraph(CountState)
.add_node("sub_node", sub_node)
.set_entry_point("sub_node")
.compile()
)
async def main_node(state: CountState) -> None:
await sub_graph.ainvoke({"count": 0})
main_graph = (
StateGraph(CountState)
.add_node("main_node", main_node)
.set_entry_point("main_node")
.compile()
)
run = await main_graph.astream_events({"count": 0}, version="v3")
# A consumer task drives the pump. Once the subgraph node is
# running, no further event is produced, so the consumer parks
# inside _apump_next awaiting graph_aiter.__anext__() — the
# generator is "running" and a plain aclose() would raise.
async def consume() -> None:
async for _e in run:
pass
consumer = asyncio.create_task(consume())
try:
await asyncio.wait_for(started.wait(), timeout=2.0)
# Let the consumer drain and park in __anext__.
await asyncio.sleep(0.05)
# Abort from a different task while the consumer is in __anext__.
await run.abort()
# The in-flight subgraph node must observe cancellation.
await asyncio.wait_for(cancelled.wait(), timeout=2.0)
finally:
consumer.cancel()
try:
await consumer
except asyncio.CancelledError:
pass
async def test_extensions_has_native_keys(self) -> None:
run = await _build_simple_graph().astream_events(
{"value": "x", "items": []}, version="v3"
-54
View File
@@ -1164,57 +1164,3 @@ def test_execution_info_inherited_by_subgraph() -> None:
# task_id appears in its own namespace segment
assert main_info.task_id in main_info.checkpoint_ns
assert sub_info.task_id in sub_info.checkpoint_ns
def test_foreign_object_in_runtime_slot_is_coerced() -> None:
"""A non-`Runtime` under `CONFIG_KEY_RUNTIME` is adopted, not crashed on,
and the `context` it carries is plumbed through.
Layers outside a run (e.g. a server's graph-factory path, like LangGraph
API) seed an object carrying `context`/`store` into the runtime slot. The
run must still execute (regression for `AttributeError: '...' object has no
attribute 'control'`), and `context` set at that level must reach nodes via
`merge` when no per-run `context` is provided. `store` is resolved
separately, so it is not read off the foreign object in the coercion.
"""
from langgraph.store.memory import InMemoryStore
from langgraph._internal._constants import CONFIG_KEY_RUNTIME
store = InMemoryStore()
graph_level_context = {"source": "graph-level"}
class _ServerLikeRuntime:
"""Carries context/store but is not a `Runtime` (no control/merge)."""
def __init__(self) -> None:
self.context = graph_level_context
self.store = store
seen: dict[str, Any] = {}
class State(TypedDict, total=False):
text: str
def echo(state: State, runtime: Runtime) -> State:
seen["context"] = runtime.context
seen["store"] = runtime.store
return {"text": (state.get("text") or "") + " echoed"}
builder = StateGraph(State)
builder.add_node("echo", echo)
builder.add_edge(START, "echo")
builder.add_edge("echo", END)
graph = builder.compile()
# No per-run `context=`: the graph-level context on the slot must plumb through.
result = graph.invoke(
{"text": "hi"},
{"configurable": {CONFIG_KEY_RUNTIME: _ServerLikeRuntime()}},
)
assert result == {"text": "hi echoed"}
# context set at the graph level is plumbed through to the node via merge
assert seen["context"] == graph_level_context
# store still reaches the node (resolved separately, not via the coercion)
assert seen["store"] is store
+1 -42
View File
@@ -1,6 +1,6 @@
"""Tests for v2 streaming format (StreamPart TypedDicts).
This file is checked by ty directly.
This file is checked by mypy directly no subprocess workarounds.
Type-narrowing is validated via `assert_type` calls in `_check_type_narrowing`.
"""
@@ -12,10 +12,6 @@ from dataclasses import dataclass
from typing import Annotated, Any, TypeVar
import pytest
from langchain_core.language_models.chat_model_stream import (
AsyncChatModelStream,
ChatModelStream,
)
from langchain_core.messages import AIMessage, BaseMessage
from langgraph.checkpoint.memory import InMemorySaver
from pydantic import BaseModel, ValidationError
@@ -28,14 +24,6 @@ from langgraph.func import entrypoint
from langgraph.graph import StateGraph
from langgraph.graph.message import MessagesState
from langgraph.runtime import RunControl
from langgraph.stream import (
AsyncGraphRunStream,
AsyncSubgraphRunStream,
GraphRunStream,
LifecyclePayload,
StreamChannel,
SubgraphRunStream,
)
from langgraph.types import (
CheckpointPayload,
CheckpointStreamPart,
@@ -1190,32 +1178,3 @@ def _check_type_narrowing(part: StreamPart[_StateT, _OutputT]) -> None:
assert_type(part, DebugStreamPart[_StateT])
assert_type(part["data"], DebugPayload[_StateT])
assert_type(part["ns"], tuple[str, ...])
# --- v3 stream_events return / projection typing checks ---
# These functions are never called at runtime; `ty` validates the
# assert_type calls. They pin the public typing surface of
# stream_events(version="v3") / astream_events(version="v3"): the handle
# type and the always-registered native projections.
def _check_stream_events_v3_typing() -> None:
"""Compile-time checks for sync v3 typing — never called at runtime."""
graph = _make_simple_graph().compile()
run = graph.stream_events(_SIMPLE_INPUT, version="v3")
assert_type(run, GraphRunStream)
assert_type(run.values, StreamChannel[dict[str, Any]])
assert_type(run.messages, StreamChannel[ChatModelStream])
assert_type(run.lifecycle, StreamChannel[LifecyclePayload])
assert_type(run.subgraphs, StreamChannel[SubgraphRunStream])
async def _check_astream_events_v3_typing() -> None:
"""Compile-time checks for async v3 typing — never called at runtime."""
graph = _make_simple_graph().compile()
run = await graph.astream_events(_SIMPLE_INPUT, version="v3")
assert_type(run, AsyncGraphRunStream)
assert_type(run.values, StreamChannel[dict[str, Any]])
assert_type(run.messages, StreamChannel[AsyncChatModelStream])
assert_type(run.lifecycle, StreamChannel[LifecyclePayload])
assert_type(run.subgraphs, StreamChannel[AsyncSubgraphRunStream])
@@ -25,7 +25,6 @@ from langgraph.stream._mux import StreamMux
from langgraph.stream.transformers import (
LifecyclePayload,
LifecycleTransformer,
_TasksLifecycleBase,
)
TS = int(time.time() * 1000)
@@ -679,34 +678,3 @@ def test_lifecycle_subagent_terminal_roundtrip() -> None:
started, _completed = subagent
assert started["graph_name"] == "weather_agent"
assert started["cause"] == {"type": "toolCall", "tool_call_id": "call_w"}
def test_on_started_override_without_cause_is_backward_compatible() -> None:
"""An `_on_started` override with the original 3-arg signature must work.
`cause` is delivered via `self._pending_cause`, not the call signature, so
older/third-party subclasses (e.g. deepagents' `SubagentTransformer`) that
override `_on_started(self, ns, graph_name, trigger_call_id)` keep working
no `TypeError: _on_started() got an unexpected keyword argument 'cause'`.
"""
seen: list[tuple] = []
class _LegacyTransformer(_TasksLifecycleBase):
def init(self) -> dict[str, Any]:
return {}
def _should_track(self, ns: tuple[str, ...]) -> bool:
return len(ns) == 1 # direct child of the root scope
# Deliberately omits `cause` — mirrors a pre-`cause` override.
def _on_started(self, ns, graph_name, trigger_call_id) -> None: # type: ignore[override]
seen.append((ns, graph_name, trigger_call_id))
def _on_terminal(self, ns, status, error) -> None:
pass
transformer = _LegacyTransformer(scope=())
# Must not raise: the base calls `_on_started` without a `cause` kwarg.
transformer.process(_tasks_start(["agent:abc123"], task_id="abc123", name="agent"))
assert seen == [(("agent:abc123",), "agent", "abc123")]
@@ -639,49 +639,3 @@ def test_stateful_namespace_isolation(
"broccoli round 2",
"Veggie: broccoli round 2",
]
def test_child_with_own_thread_id_keeps_namespace(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""A child graph invoked from inside a parent node with its own thread_id
must store and read its checkpoint under its own namespace, not inherit the
parent task's checkpoint_ns.
"""
class ChildState(TypedDict):
count: int
def child_node(state: ChildState) -> dict:
return {"count": (state.get("count") or 0) + 1}
child = (
StateGraph(ChildState)
.add_node("n", child_node)
.add_edge(START, "n")
.compile(checkpointer=sync_checkpointer)
)
child_thread = str(uuid4())
child_config = {"configurable": {"thread_id": child_thread}}
def parent_node(state: ParentState) -> dict:
child.invoke({}, config=child_config)
return {"result": "ok"}
parent = (
StateGraph(ParentState)
.add_node("p", parent_node)
.add_edge(START, "p")
.compile(checkpointer=sync_checkpointer)
)
parent_config = {"configurable": {"thread_id": str(uuid4())}}
parent.invoke({"result": ""}, config=parent_config)
state1 = child.get_state(child_config)
assert state1.values.get("count") == 1
assert state1.config["configurable"]["checkpoint_ns"] == ""
parent.invoke({"result": ""}, config=parent_config)
state2 = child.get_state(child_config)
assert state2.values.get("count") == 2
@@ -660,50 +660,3 @@ async def test_stateful_namespace_isolation_async(
"broccoli round 2",
"Veggie: broccoli round 2",
]
@NEEDS_CONTEXTVARS
async def test_child_with_own_thread_id_keeps_namespace_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""A child graph invoked from inside a parent node with its own thread_id
must store and read its checkpoint under its own namespace, not inherit the
parent task's checkpoint_ns.
"""
class ChildState(TypedDict):
count: int
def child_node(state: ChildState) -> dict:
return {"count": (state.get("count") or 0) + 1}
child = (
StateGraph(ChildState)
.add_node("n", child_node)
.add_edge(START, "n")
.compile(checkpointer=async_checkpointer)
)
child_thread = str(uuid4())
child_config = {"configurable": {"thread_id": child_thread}}
async def parent_node(state: ParentState) -> dict:
await child.ainvoke({}, config=child_config)
return {"result": "ok"}
parent = (
StateGraph(ParentState)
.add_node("p", parent_node)
.add_edge(START, "p")
.compile(checkpointer=async_checkpointer)
)
parent_config = {"configurable": {"thread_id": str(uuid4())}}
await parent.ainvoke({"result": ""}, config=parent_config)
state1 = await child.aget_state(child_config)
assert state1.values.get("count") == 1
assert state1.config["configurable"]["checkpoint_ns"] == ""
await parent.ainvoke({"result": ""}, config=parent_config)
state2 = await child.aget_state(child_config)
assert state2.values.get("count") == 2
-243
View File
@@ -25,7 +25,6 @@ from langgraph._internal._config import (
_merge_callbacks,
ensure_config,
get_callback_manager_for_config,
merge_configs,
)
from langgraph._internal._fields import (
_is_optional_type,
@@ -506,95 +505,6 @@ def test_ensure_config_configurable_later_wins_per_key() -> None:
assert merged["configurable"]["only_b"] == "B"
def test_ensure_config_explicit_configurable_replaces_ambient() -> None:
# An explicit checkpoint coordinate (here a new thread_id) starts a fresh
# lineage and drops the ambient run context (e.g. a parent task's
# checkpoint_ns), so a child graph does not inherit it.
from langchain_core.runnables.config import var_child_runnable_config
token = var_child_runnable_config.set(
{"configurable": {"checkpoint_ns": "p:parent-task", "checkpoint_id": "cid"}}
)
try:
merged = ensure_config({"configurable": {"thread_id": "child"}})
finally:
var_child_runnable_config.reset(token)
assert merged["configurable"]["thread_id"] == "child"
assert "checkpoint_ns" not in merged["configurable"]
assert "checkpoint_id" not in merged["configurable"]
def test_ensure_config_ambient_inherited_when_no_explicit_configurable() -> None:
# With no explicit configurable, the ambient run context is inherited
# unchanged (stateless subgraph / interrupt-resume pattern).
from langchain_core.runnables.config import var_child_runnable_config
token = var_child_runnable_config.set(
{"configurable": {"checkpoint_ns": "p:parent-task"}}
)
try:
merged = ensure_config({"tags": ["t"]})
finally:
var_child_runnable_config.reset(token)
assert merged["configurable"]["checkpoint_ns"] == "p:parent-task"
def test_ensure_config_explicit_configurables_still_merge_over_ambient() -> None:
# A new thread_id drops the ambient, but explicit configs still shallow-merge
# among themselves, so a with_config(...) value (ls_agent_type) survives
# alongside an invoke-time thread_id.
from langchain_core.runnables.config import var_child_runnable_config
token = var_child_runnable_config.set(
{"configurable": {"checkpoint_ns": "p:parent-task"}}
)
try:
merged = ensure_config(
{"configurable": {"ls_agent_type": "root"}},
{"configurable": {"thread_id": "child"}},
)
finally:
var_child_runnable_config.reset(token)
assert merged["configurable"]["ls_agent_type"] == "root"
assert merged["configurable"]["thread_id"] == "child"
assert "checkpoint_ns" not in merged["configurable"]
def test_ensure_config_non_coordinate_config_keeps_ambient_checkpoint_ns() -> None:
# A nested subagent is invoked with a non-coordinate configurable key
# (ls_agent_type) and no thread_id; it must keep the inherited checkpoint_ns
# so it stays a discoverable child of the parent run (deepagents `task` tool).
from langchain_core.runnables.config import var_child_runnable_config
token = var_child_runnable_config.set(
{"configurable": {"thread_id": "parent", "checkpoint_ns": "p:parent-task"}}
)
try:
merged = ensure_config({"configurable": {"ls_agent_type": "subagent"}})
finally:
var_child_runnable_config.reset(token)
assert merged["configurable"]["ls_agent_type"] == "subagent"
assert merged["configurable"]["checkpoint_ns"] == "p:parent-task"
assert merged["configurable"]["thread_id"] == "parent"
def test_ensure_config_same_thread_id_still_clears_ambient() -> None:
# A child that reuses the parent's thread_id is still addressing its own root
# namespace on that thread, so the parent task's checkpoint_ns must not leak
# in; otherwise the child writes state that get_state cannot read back.
from langchain_core.runnables.config import var_child_runnable_config
token = var_child_runnable_config.set(
{"configurable": {"thread_id": "shared", "checkpoint_ns": "p:parent-task"}}
)
try:
merged = ensure_config({"configurable": {"thread_id": "shared"}})
finally:
var_child_runnable_config.reset(token)
assert merged["configurable"]["thread_id"] == "shared"
assert "checkpoint_ns" not in merged["configurable"]
def test_ensure_config_merges_metadata_across_configs() -> None:
a = {"metadata": {"user_id": "U1"}}
b = {"metadata": {"correlation_id": "C1"}}
@@ -610,159 +520,6 @@ def test_ensure_config_metadata_later_wins_per_key() -> None:
assert merged["metadata"]["shared"] == "from_b"
def test_merge_configs_merges_metadata_lc_versions() -> None:
a = {
"metadata": {
"lc_versions": {"langgraph": "1.2.4"},
"lc_agent_name": "agent",
}
}
b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
merged = merge_configs(a, b)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
}
assert merged["metadata"]["lc_agent_name"] == "agent"
def test_ensure_config_merges_metadata_lc_versions() -> None:
a = {
"metadata": {
"lc_versions": {"langgraph": "1.2.4"},
"lc_agent_name": "agent",
}
}
b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
merged = ensure_config(a, b)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
}
assert merged["metadata"]["lc_agent_name"] == "agent"
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_lc_versions_later_values_win_without_recursive_merge(
merge: Callable[..., RunnableConfig],
) -> None:
a = {
"metadata": {
"lc_versions": {
"langgraph": "1.2.4",
"nested": {"only_a": "A", "shared": "from_a"},
}
}
}
b = {
"metadata": {
"lc_versions": {
"langchain-core": "1.2.0",
"nested": {"only_b": "B", "shared": "from_b"},
}
}
}
merged = merge(a, b)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
"nested": {"only_b": "B", "shared": "from_b"},
}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_nested_mappings_other_than_lc_versions_are_replaced(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"versions": {"langgraph": "1.2.4"}, "mode": "bound"}}
b = {
"metadata": {
"versions": {"langchain-core": "1.2.0"},
"mode": {"source": "runtime"},
}
}
merged = merge(a, b)
assert merged["metadata"]["versions"] == {"langchain-core": "1.2.0"}
assert merged["metadata"]["mode"] == {"source": "runtime"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_non_mapping_values_later_wins(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}, "mode": "bound"}}
b = {"metadata": {"lc_versions": "runtime", "mode": {"source": "runtime"}}}
merged = merge(a, b)
assert merged["metadata"]["lc_versions"] == "runtime"
assert merged["metadata"]["mode"] == {"source": "runtime"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_lc_versions_merge_does_not_mutate_inputs(
merge: Callable[..., RunnableConfig],
) -> None:
a_versions = {"langgraph": "1.2.4"}
b_versions = {"langchain-core": "1.2.0"}
a = {"metadata": {"lc_versions": a_versions}}
b = {"metadata": {"lc_versions": b_versions}}
merged = merge(a, b)
assert a == {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
assert b == {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
assert merged["metadata"]["lc_versions"] is not a_versions
assert merged["metadata"]["lc_versions"] is not b_versions
merged["metadata"]["lc_versions"]["langgraph"] = "changed"
assert a_versions == {"langgraph": "1.2.4"}
assert b_versions == {"langchain-core": "1.2.0"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_single_sided_mapping_values_are_copied(
merge: Callable[..., RunnableConfig],
) -> None:
base_versions = {"langgraph": "1.2.4"}
new_versions = {"langchain-core": "1.2.0"}
merged_base_only = merge({"metadata": {"lc_versions": base_versions}})
merged_new_only = merge(
{"metadata": {}},
{"metadata": {"lc_versions": new_versions}},
)
assert merged_base_only["metadata"]["lc_versions"] is not base_versions
assert merged_new_only["metadata"]["lc_versions"] is not new_versions
merged_base_only["metadata"]["lc_versions"]["langgraph"] = "changed"
merged_new_only["metadata"]["lc_versions"]["langchain-core"] = "changed"
assert base_versions == {"langgraph": "1.2.4"}
assert new_versions == {"langchain-core": "1.2.0"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_empty_incoming_preserves_base_lc_versions(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
b = {"metadata": {"lc_versions": {}}}
merged = merge(a, b)
assert merged["metadata"]["lc_versions"] == {"langgraph": "1.2.4"}
@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
def test_metadata_lc_versions_accumulate_across_more_than_two_configs(
merge: Callable[..., RunnableConfig],
) -> None:
a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
c = {"metadata": {"lc_versions": {"langchain": "1.1.0"}}}
merged = merge(a, b, c)
assert merged["metadata"]["lc_versions"] == {
"langgraph": "1.2.4",
"langchain-core": "1.2.0",
"langchain": "1.1.0",
}
def test_ensure_config_merges_tags_across_configs() -> None:
a = {"tags": ["alpha"]}
b = {"tags": ["beta"]}
+929 -874
View File
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+5 -2
View File
@@ -36,19 +36,22 @@ test_watch:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check langgraph
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
type:
uv run ty check langgraph
mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+7 -37
View File
@@ -1,36 +1,16 @@
# LangGraph Prebuilt
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-prebuilt?label=%20)](https://pypi.org/project/langgraph-prebuilt/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph-prebuilt)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-prebuilt)](https://pypistats.org/packages/langgraph-prebuilt)
[![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
```
## 🤔 What is this?
This library defines high-level APIs for creating and executing LangGraph agents and tools. It includes prebuilt components such as `create_react_agent`, `ToolNode`, validation helpers, and Agent Inbox schemas.
## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.prebuilt/). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
This library defines high-level APIs for creating and executing LangGraph agents and tools.
> [!IMPORTANT]
> This library is bundled with `langgraph`; most users should install `langgraph` instead of installing `langgraph-prebuilt` directly.
> This library is meant to be bundled with `langgraph`, don't install it directly
## Agents
`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/chat_agent_executor/create_react_agent) of a tool-calling ReAct-style agent - `create_react_agent`:
`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent) of a tool-calling [ReAct-style](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#react-implementation) agent - `create_react_agent`:
```bash
uv add langchain-anthropic
pip install langchain-anthropic
```
```python
@@ -59,7 +39,7 @@ app.invoke(
### ToolNode
`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/tool_node/ToolNode) of a node that executes tool calls - `ToolNode`:
`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_node.ToolNode) of a node that executes tool calls - `ToolNode`:
```python
from langgraph.prebuilt import ToolNode
@@ -81,7 +61,7 @@ tool_node.invoke({"messages": [ai_message]})
### ValidationNode
`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/tool_validator/ValidationNode) of a node that validates tool calls against a pydantic schema - `ValidationNode`:
`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_validator.ValidationNode) of a node that validates tool calls against a pydantic schema - `ValidationNode`:
```python
from pydantic import BaseModel, field_validator
@@ -134,14 +114,4 @@ def my_graph_function():
if response['type'] == "response":
# Do something with the response
...
```
## 📕 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).
```
@@ -1237,7 +1237,7 @@ class ToolNode(RunnableCallable):
isinstance(input, dict) and input.get("__type") == "tool_call_with_context"
):
# Handle ToolCallWithContext from Send API
# Type checkers cannot narrow correctly since the signature
# mypy will not be able to type narrow correctly since the signature
# for input contains dict[str, Any]. We'd need to narrow dict[str, Any]
# before we can apply correct typing.
input_with_ctx = cast("ToolCallWithContext", input)
+11 -14
View File
@@ -51,7 +51,7 @@ test = [
lint = [
"ruff",
"codespell",
"ty",
"mypy",
]
dev = [
{include-group = "test"},
@@ -79,21 +79,18 @@ lint.select = [ "E", "F", "I", "TID251", "UP" ]
lint.ignore = [ "E501" ]
target-version = "py310"
[tool.ty.rules]
call-non-callable = "ignore"
deprecated = "ignore"
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-await = "ignore"
invalid-return-type = "ignore"
no-matching-overload = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unresolved-import = "ignore"
unsupported-operator = "ignore"
[tool.pytest-watcher]
now = true
delay = 0.1
runner_args = ["--ff", "-v", "--tb", "short"]
patterns = ["*.py"]
[tool.mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html
disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value"

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