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147 changed files with 5546 additions and 12248 deletions
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@@ -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: ${{ inputs.enable-cache }}
+3 -3
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@@ -37,7 +37,7 @@ jobs:
run:
working-directory: libs/cli
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- uses: actions/checkout@v6
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
@@ -126,8 +126,8 @@ jobs:
exit 1
fi
LANGCHAIN_ANTHROPIC_VERSION=$(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; $LANGCHAIN_ANTHROPIC_VERSION"
exit 1
fi
+21 -1
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@@ -31,7 +31,7 @@ jobs:
- "3.12"
name: "lint #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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
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@@ -23,7 +23,7 @@ jobs:
env:
HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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: ${{ secrets.DOCKERHUB_USERNAME }}
+2 -2
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@@ -25,7 +25,7 @@ jobs:
name: "test #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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: ${{ secrets.DOCKERHUB_USERNAME }}
+2 -2
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@@ -23,7 +23,7 @@ jobs:
working-directory: libs/langgraph
name: "test #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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
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@@ -23,7 +23,7 @@ jobs:
version: ${{ steps.check-version.outputs.version }}
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- uses: actions/checkout@v6
- uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
- uses: actions/download-artifact@v8
with:
name: test-dist
path: ${{ inputs.working-directory }}/dist/
+2 -2
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@@ -17,7 +17,7 @@ jobs:
run:
working-directory: libs/langgraph
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- uses: actions/checkout@v6
- run: SHA=$(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@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
uses: actions/cache/save@v5
with:
key: ${{ runner.os }}-benchmark-baseline-${{ env.SHA }}
path: |
+3 -3
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@@ -15,7 +15,7 @@ jobs:
run:
working-directory: libs/langgraph
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
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 }}
+4 -8
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@@ -30,7 +30,7 @@ jobs:
deps: ${{ steps.filter.outputs.deps || 'true' }}
sdk_py: ${{ steps.filter.outputs.sdk_py || 'true' }}
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- uses: actions/checkout@v6
- uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
if: github.event_name != 'workflow_dispatch'
id: filter
@@ -50,10 +50,6 @@ 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/**'
lint:
needs: changes
@@ -112,9 +108,9 @@ jobs:
name: "Check SDK methods matching"
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- uses: actions/checkout@v6
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
uses: actions/setup-python@v6
with:
python-version: "3.11"
- name: Run check_sdk_methods script
@@ -130,7 +126,7 @@ jobs:
python-version:
- "3.13"
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- uses: actions/checkout@v6
- name: Set up Python ${{ matrix.python-version }}
uses: ./.github/actions/uv_setup
with:
+5 -5
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@@ -26,10 +26,10 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@v6
- name: Setup Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
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
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@@ -25,7 +25,7 @@ jobs:
tag: ${{ steps.check-version.outputs.tag }}
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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
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@@ -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
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@@ -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
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@@ -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
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@@ -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
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@@ -16,7 +16,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
- 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).
@@ -54,12 +54,6 @@ async def build_delta_chain(
stored: list[RunnableConfig] = []
parent_cfg: RunnableConfig | None = None
# Track supersteps since the channel's last snapshot, mirroring Pregel's
# `counters_since_delta_snapshot` bookkeeping: every step increments the
# counter; a snapshot step resets it (and carries no counter entry, so
# the walk locates the seed exactly `supersteps` hops back).
supersteps_since_snapshot = 0
for step in range(total_steps):
config: RunnableConfig = {
"configurable": {
@@ -74,19 +68,11 @@ async def build_delta_chain(
channel_values: dict[str, Any] = {}
channel_versions: dict[str, int] = {}
supersteps_since_snapshot += 1
counters: dict[str, tuple[int, int]] = {}
if step in snapshot_set:
channel_values[channel] = _DeltaSnapshot(
write_value_fn(step),
)
channel_versions[channel] = step + 1
supersteps_since_snapshot = 0
else:
counters[channel] = (
supersteps_since_snapshot,
supersteps_since_snapshot,
)
cp = Checkpoint(
v=1,
@@ -98,10 +84,9 @@ async def build_delta_chain(
updated_channels=None,
)
new_versions = dict(channel_versions)
md = generate_metadata(step=step)
if counters:
md["counters_since_delta_snapshot"] = counters
parent_cfg = await saver.aput(config, cp, md, new_versions)
parent_cfg = await saver.aput(
config, cp, generate_metadata(step=step), new_versions
)
stored.append(parent_cfg)
# Write a pending write for non-snapshot steps so the walk has
@@ -87,10 +87,6 @@ async def test_history_multi_channel(
from langgraph.checkpoint.conformance.test_utils import generate_metadata
# Per-channel supersteps since last snapshot ("a" snapshots at step 1,
# "b" at step 3). Drives the per-channel walk depth from the head.
s_a = 0
s_b = 0
for step in range(5):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
@@ -99,21 +95,12 @@ async def test_history_multi_channel(
]
cv: dict = {}
cvs: dict = {}
s_a += 1
s_b += 1
counters: dict = {}
if step == 1:
cv["a"] = _DeltaSnapshot("snap_a")
cvs["a"] = step + 1
s_a = 0
else:
counters["a"] = (s_a, s_a)
if step == 3:
cv["b"] = _DeltaSnapshot("snap_b")
cvs["b"] = step + 1
s_b = 0
else:
counters["b"] = (s_b, s_b)
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
@@ -123,10 +110,7 @@ async def test_history_multi_channel(
versions_seen={},
updated_channels=None,
)
md = generate_metadata(step=step)
if counters:
md["counters_since_delta_snapshot"] = counters
parent_cfg = await saver.aput(config, cp, md, cvs)
parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
configs.append(parent_cfg)
await saver.aput_writes(parent_cfg, [("a", step), ("b", step)], str(uuid4()))
@@ -164,12 +148,7 @@ async def test_history_walk_to_root_no_seed(
)
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
# The head's supersteps counter (4) runs one hop past the real root —
# the snapshot checkpoint was never persisted (implicit empty baseline).
# No seed, and the full chain (steps 0..2) replays from empty.
assert "seed" not in result["ch"], f"Expected no seed, got {result['ch']}"
values = [w[2] for w in result["ch"]["writes"]]
assert values == [0, 1, 2], f"Expected full-chain writes [0,1,2], got {values}"
async def test_history_migration_plain_value_as_seed(
@@ -191,10 +170,6 @@ async def test_history_migration_plain_value_as_seed(
configs: list = []
parent_cfg = None
# The channel was a non-delta channel through step 1 (plain value, no
# delta counter), then migrated to DeltaChannel at step 2. Supersteps
# count from the migration boundary: step 2 -> 1, step 3 -> 2, so the
# head (step 3) walks 2 hops back to the plain-value seed at step 1.
for step in range(4):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
@@ -207,9 +182,6 @@ async def test_history_migration_plain_value_as_seed(
if step == 1:
cv["ch"] = [10, 20, 30]
cvs["ch"] = step + 1
md = generate_metadata(step=step)
if step >= 2:
md["counters_since_delta_snapshot"] = {"ch": (step - 1, step - 1)}
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
@@ -219,7 +191,7 @@ async def test_history_migration_plain_value_as_seed(
versions_seen={},
updated_channels=None,
)
parent_cfg = await saver.aput(config, cp, md, cvs)
parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
configs.append(parent_cfg)
if step != 1:
await saver.aput_writes(parent_cfg, [("ch", step)], str(uuid4()))
@@ -236,67 +208,6 @@ async def test_history_migration_plain_value_as_seed(
assert values == [2], f"Expected [2], got {values}"
async def test_history_migration_skips_seed_checkpoint_writes(
saver: BaseCheckpointSaver,
) -> None:
"""A migrated plain-value seed already incorporates its own checkpoint's
writes, so those writes must NOT be re-emitted in the history.
This is the discriminating case for non-additive reducers (e.g. an
even-only filter): re-applying the seed checkpoint's writes on top of
the seed would corrupt the reconstructed value. The saver contract is
to skip them — only writes strictly after the seed are returned.
"""
from langgraph.checkpoint.base import Checkpoint
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.conformance.test_utils import generate_metadata
tid = str(uuid4())
configs: list = []
parent_cfg = None
for step in range(4):
config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
if parent_cfg:
config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
"checkpoint_id"
]
cv: dict = {}
cvs: dict = {}
# Step 1: pre-delta plain accumulated value AND its own writes.
if step == 1:
cv["ch"] = [2, 4]
cvs["ch"] = step + 1
md = generate_metadata(step=step)
if step >= 2:
md["counters_since_delta_snapshot"] = {"ch": (step - 1, step - 1)}
cp = Checkpoint(
v=1,
id=str(uuid6(clock_seq=-1)),
ts="",
channel_values=cv,
channel_versions=cvs,
versions_seen={},
updated_channels=None,
)
parent_cfg = await saver.aput(config, cp, md, cvs)
configs.append(parent_cfg)
# The seed checkpoint (step 1) carries writes that the plain value
# already subsumes; later steps carry post-migration delta writes.
write_value = 99 if step == 1 else step * 10
await saver.aput_writes(parent_cfg, [("ch", write_value)], str(uuid4()))
head = configs[-1]
result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
assert result["ch"].get("seed") == [2, 4], (
f"Expected plain seed [2, 4], got {result['ch'].get('seed')}"
)
values = [w[2] for w in result["ch"]["writes"]]
# Seed checkpoint's own write (99) is skipped; step 2's write (20) kept.
assert values == [20], f"Expected only post-seed writes [20], got {values}"
ALL_DELTA_CHANNEL_HISTORY_TESTS = [
test_history_returns_writes_oldest_first,
test_history_seed_is_nearest_snapshot,
@@ -305,7 +216,6 @@ ALL_DELTA_CHANNEL_HISTORY_TESTS = [
test_history_empty_channels_returns_empty,
test_history_walk_to_root_no_seed,
test_history_migration_plain_value_as_seed,
test_history_migration_skips_seed_checkpoint_writes,
]
@@ -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 = [
+48 -118
View File
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@@ -296,6 +296,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -306,12 +307,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -370,7 +370,7 @@ test = [
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name = "langsmith"
version = "0.8.18"
version = "0.8.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -380,13 +380,12 @@ dependencies = [
{ name = "requests" },
{ name = "requests-toolbelt" },
{ name = "uuid-utils" },
{ name = "websockets" },
{ name = "xxhash" },
{ name = "zstandard" },
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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).
@@ -14,7 +14,6 @@ from langgraph.checkpoint.base import (
CheckpointMetadata,
CheckpointTuple,
DeltaChannelHistory,
_parse_supersteps_since_last_snapshot_by_channel,
get_checkpoint_id,
get_serializable_checkpoint_metadata,
)
@@ -29,11 +28,9 @@ from langgraph.checkpoint.postgres import _internal
from langgraph.checkpoint.postgres.base import (
_DELTA_PAGE_SIZE,
BasePostgresSaver,
_advance_shared_chain,
_build_delta_fetch_sql,
_build_delta_walk_sql,
_build_delta_stage1_sql,
_build_delta_stage2_sql,
_DeltaStage2Row,
_ingest_walk_page,
)
from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver
@@ -449,137 +446,107 @@ class PostgresSaver(BasePostgresSaver):
) -> Mapping[str, DeltaChannelHistory]:
"""Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.
Reconstructs each delta channel's state for the target checkpoint by
walking the parent chain `supersteps` hops (read from the target's
`counters_since_delta_snapshot` metadata) to its seed snapshot, then
collecting the writes between the seed and the target.
Two-stage query, both stages cover ALL requested channels:
Two passes (see the `# Multi-channel two-pass` comment in `base.py`):
* Stage 1 (paged): dynamic SELECT over `checkpoints` with K parallel
JSONB key lookups (one column pair per channel) — no subquery, no
aggregation. Pages newest-first by `checkpoint_id` with a cursor;
page size is `_DELTA_PAGE_SIZE`. Stops paging when every channel
has found its seed or the chain is exhausted.
* WALK (paged): dynamic SELECT over `checkpoints` with K parallel
JSONB lookups for `channel_versions[ch]` (the seed blob version),
following `parent_checkpoint_id` newest-first. Page size is
`_DELTA_PAGE_SIZE`; stops once the shared chain reaches the deepest
requested `supersteps`, the root is reached, or the chain is
exhausted.
* FETCH (per-channel UNION ALL): one branch per channel reading
`checkpoint_writes` for its `chain_cids`, plus one branch per
channel that located a seed reading `checkpoint_blobs` at the
seed's version.
* Stage 2 (per-channel UNION ALL): one branch per channel reading
`checkpoint_writes` filtered to that channel's specific
`chain_cids`, plus one branch per channel that has a seed reading
`checkpoint_blobs` for that channel + version. Avoids the
over-fetch of a single `channel = ANY(channels)` filter when
channels have different chain depths.
"""
if not channels:
return {}
channels = list(channels)
thread_id = config["configurable"]["thread_id"]
if not thread_id:
raise ValueError("empty thread ID")
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
# Resolve the target checkpoint id + its metadata (for supersteps).
checkpoint_id = get_checkpoint_id(config)
with self._cursor() as cur:
if checkpoint_id is None:
cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = %s AND checkpoint_ns = %s "
"ORDER BY checkpoint_id DESC LIMIT 1",
(thread_id, checkpoint_ns),
)
else:
cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = %s AND checkpoint_ns = %s "
"AND checkpoint_id = %s",
(thread_id, checkpoint_ns, checkpoint_id),
)
target_row = cur.fetchone()
if target_row is None:
return {ch: {"writes": []} for ch in channels}
target_id = cast(str, target_row["checkpoint_id"])
supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
target_row["metadata"] or {}, channels
)
max_supersteps = max(supersteps_by_ch.values(), default=0)
if checkpoint_id is None:
target = self.get_tuple(config)
if target is None:
return {ch: {"writes": []} for ch in channels}
checkpoint_id = target.config["configurable"]["checkpoint_id"]
# WALK: page the parent chain, bounded by the deepest supersteps.
walk_sql = _build_delta_walk_sql(channels)
# Stage 1: paged K-JSONB-lookup scan, walking the parent chain in
# Python after each page. Stops as soon as every channel has its seed.
stage1_sql = _build_delta_stage1_sql(channels, paged=True)
parent_of: dict[str, str | None] = {}
ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
shared_cpid_chain: list[str] = []
has_reached_root = False
hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
walk_cursor_by_ch: dict[str, str | None] = {}
seeded: set[str] = set()
cursor: str | None = None
while max_supersteps > 0:
walk_params: list[Any] = [
*channels,
thread_id,
checkpoint_ns,
cursor,
cursor,
_DELTA_PAGE_SIZE,
]
with self._cursor() as cur:
cur.execute(walk_sql, walk_params)
with self._cursor() as cur:
while True:
stage1_params: list[Any] = []
for ch in channels:
stage1_params.extend([ch, ch])
stage1_params.extend(
[thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
)
cur.execute(stage1_sql, stage1_params)
page = cur.fetchall()
if not page:
break
oldest = _ingest_walk_page(
cast("list[Mapping[str, Any]]", page),
channels,
parent_of,
ver_by_i_by_cid,
)
has_reached_root = _advance_shared_chain(
target_id, parent_of, shared_cpid_chain, max_supersteps
)
if (
has_reached_root
or len(shared_cpid_chain) >= max_supersteps
or len(page) < _DELTA_PAGE_SIZE
):
break
cursor = oldest
if not page:
break
oldest = self._ingest_stage1_page(
cast("list[Mapping[str, Any]]", page),
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
)
self._try_advance_walks(
checkpoint_id,
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
chain_by_ch,
seed_ver_by_ch,
walk_cursor_by_ch,
seeded,
)
# Stop if every channel is seeded, or the page was short
# (chain exhausted — no more rows to fetch).
if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
break
cursor = oldest
chained_cpid_by_ch, seed_cpid_by_ch, seed_ver_by_ch = (
self._resolve_delta_chains(
channels,
supersteps_by_ch,
shared_cpid_chain,
ver_by_i_by_cid,
has_reached_root,
thread_id,
)
)
# FETCH: per-channel UNION ALL — writes branch per chained channel,
# blob branch per seeded channel.
channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
# Stage 2: per-channel UNION ALL — one writes branch per channel
# with non-empty chain, plus one blob branch per seeded channel.
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
fetch_sql = _build_delta_fetch_sql(
stage2_sql = _build_delta_stage2_sql(
channels_with_chain=channels_with_chain,
channels_with_seed=channels_with_seed,
)
if fetch_sql:
fetch_params: list[Any] = []
for ch in channels_with_chain:
fetch_params.extend(
[thread_id, checkpoint_ns, ch, chained_cpid_by_ch[ch]]
)
for ch in channels_with_seed:
fetch_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
with self._cursor() as cur:
cur.execute(fetch_sql, fetch_params)
fetch_rows = cur.fetchall()
else:
fetch_rows = []
return self._assemble_delta_history(
if stage2_sql:
stage2_params: list[Any] = []
for ch in channels_with_chain:
stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
for ch in channels_with_seed:
stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
with self._cursor() as cur:
cur.execute(stage2_sql, stage2_params)
stage2_rows = cur.fetchall()
else:
stage2_rows = []
return self._build_delta_channels_writes_history(
channels=channels,
chained_cpid_by_ch=chained_cpid_by_ch,
seed_cpid_by_ch=seed_cpid_by_ch,
chain_by_ch=chain_by_ch,
seed_ver_by_ch=seed_ver_by_ch,
fetch_rows=cast("list[_DeltaStage2Row]", fetch_rows),
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
)
def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
@@ -14,7 +14,6 @@ from langgraph.checkpoint.base import (
CheckpointMetadata,
CheckpointTuple,
DeltaChannelHistory,
_parse_supersteps_since_last_snapshot_by_channel,
get_checkpoint_id,
get_serializable_checkpoint_metadata,
)
@@ -29,11 +28,9 @@ from langgraph.checkpoint.postgres import _ainternal
from langgraph.checkpoint.postgres.base import (
_DELTA_PAGE_SIZE,
BasePostgresSaver,
_advance_shared_chain,
_build_delta_fetch_sql,
_build_delta_walk_sql,
_build_delta_stage1_sql,
_build_delta_stage2_sql,
_DeltaStage2Row,
_ingest_walk_page,
)
from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver
@@ -411,122 +408,89 @@ class AsyncPostgresSaver(BasePostgresSaver):
"""Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
See `PostgresSaver.get_delta_channel_history` for design notes; this is
the async equivalent: paged supersteps-bounded WALK + per-channel
UNION ALL FETCH.
the async equivalent with internal stage-1 paging and per-channel
UNION ALL stage-2.
"""
if not channels:
return {}
channels = list(channels)
thread_id = config["configurable"]["thread_id"]
if not thread_id:
raise ValueError("empty thread ID")
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
# Resolve the target checkpoint id + its metadata (for supersteps).
checkpoint_id = get_checkpoint_id(config)
async with self._cursor() as cur:
if checkpoint_id is None:
await cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = %s AND checkpoint_ns = %s "
"ORDER BY checkpoint_id DESC LIMIT 1",
(thread_id, checkpoint_ns),
)
else:
await cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = %s AND checkpoint_ns = %s "
"AND checkpoint_id = %s",
(thread_id, checkpoint_ns, checkpoint_id),
)
target_row = await cur.fetchone()
if target_row is None:
return {ch: {"writes": []} for ch in channels}
target_id = cast(str, target_row["checkpoint_id"])
supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
target_row["metadata"] or {}, channels
)
max_supersteps = max(supersteps_by_ch.values(), default=0)
if checkpoint_id is None:
target = await self.aget_tuple(config)
if target is None:
return {ch: {"writes": []} for ch in channels}
checkpoint_id = target.config["configurable"]["checkpoint_id"]
# WALK: page the parent chain, bounded by the deepest supersteps.
walk_sql = _build_delta_walk_sql(channels)
stage1_sql = _build_delta_stage1_sql(channels, paged=True)
parent_of: dict[str, str | None] = {}
ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
shared_cpid_chain: list[str] = []
has_reached_root = False
hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
walk_cursor_by_ch: dict[str, str | None] = {}
seeded: set[str] = set()
cursor: str | None = None
while max_supersteps > 0:
walk_params: list[Any] = [
*channels,
thread_id,
checkpoint_ns,
cursor,
cursor,
_DELTA_PAGE_SIZE,
]
async with self._cursor() as cur:
await cur.execute(walk_sql, walk_params)
async with self._cursor() as cur:
while True:
stage1_params: list[Any] = []
for ch in channels:
stage1_params.extend([ch, ch])
stage1_params.extend(
[thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
)
await cur.execute(stage1_sql, stage1_params)
page = await cur.fetchall()
if not page:
break
oldest = _ingest_walk_page(
cast("list[Mapping[str, Any]]", page),
channels,
parent_of,
ver_by_i_by_cid,
)
has_reached_root = _advance_shared_chain(
target_id, parent_of, shared_cpid_chain, max_supersteps
)
if (
has_reached_root
or len(shared_cpid_chain) >= max_supersteps
or len(page) < _DELTA_PAGE_SIZE
):
break
cursor = oldest
if not page:
break
oldest = self._ingest_stage1_page(
cast("list[Mapping[str, Any]]", page),
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
)
self._try_advance_walks(
checkpoint_id,
channels,
parent_of,
ver_by_i_by_cid,
hs_by_i_by_cid,
chain_by_ch,
seed_ver_by_ch,
walk_cursor_by_ch,
seeded,
)
if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
break
cursor = oldest
chained_cpid_by_ch, seed_cpid_by_ch, seed_ver_by_ch = (
self._resolve_delta_chains(
channels,
supersteps_by_ch,
shared_cpid_chain,
ver_by_i_by_cid,
has_reached_root,
thread_id,
)
)
# FETCH: per-channel UNION ALL — writes branch per chained channel,
# blob branch per seeded channel.
channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
fetch_sql = _build_delta_fetch_sql(
stage2_sql = _build_delta_stage2_sql(
channels_with_chain=channels_with_chain,
channels_with_seed=channels_with_seed,
)
if fetch_sql:
fetch_params: list[Any] = []
if stage2_sql:
stage2_params: list[Any] = []
for ch in channels_with_chain:
fetch_params.extend(
[thread_id, checkpoint_ns, ch, chained_cpid_by_ch[ch]]
)
stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
for ch in channels_with_seed:
fetch_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
async with self._cursor() as cur:
await cur.execute(fetch_sql, fetch_params)
fetch_rows = await cur.fetchall()
await cur.execute(stage2_sql, stage2_params)
stage2_rows = await cur.fetchall()
else:
fetch_rows = []
stage2_rows = []
return self._assemble_delta_history(
return self._build_delta_channels_writes_history(
channels=channels,
chained_cpid_by_ch=chained_cpid_by_ch,
seed_cpid_by_ch=seed_cpid_by_ch,
chain_by_ch=chain_by_ch,
seed_ver_by_ch=seed_ver_by_ch,
fetch_rows=cast("list[_DeltaStage2Row]", fetch_rows),
stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
)
async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
@@ -1,6 +1,5 @@
from __future__ import annotations
import logging
import random
import warnings
from collections.abc import Mapping, Sequence
@@ -16,12 +15,10 @@ from langgraph.checkpoint.base import (
PendingWrite,
get_checkpoint_id,
)
from langgraph.checkpoint.serde.types import TASKS, _DeltaSnapshot
from langgraph.checkpoint.serde.types import TASKS
from psycopg.types.json import Jsonb
logger = logging.getLogger(__name__)
# Page size for the paged WALK scan in `get_delta_channel_history`. Internal
# Page size for stage-1 paged scan in `get_delta_channel_history`. Internal
# constant — exposing this as a kwarg is left as a follow-up.
_DELTA_PAGE_SIZE = 1024
@@ -163,7 +160,7 @@ INSERT_CHECKPOINT_WRITES_SQL = """
class _DeltaStage2Row(TypedDict, total=False):
"""One row from `_build_delta_fetch_sql` (a UNION ALL of writes and blobs)."""
"""One row from `_build_delta_stage2_sql` (a UNION ALL of writes and blobs)."""
_kind: str # "w" or "b"
checkpoint_id: str | None # "w" rows only
@@ -175,58 +172,42 @@ class _DeltaStage2Row(TypedDict, total=False):
version: str | None # "b" rows only
# Multi-channel two-pass DeltaChannel reconstruction.
# Multi-channel two-stage DeltaChannel reconstruction.
#
# A `DeltaChannel` does not store its full value at every checkpoint — it
# stores periodic full-value *snapshots* and accumulates intermediate
# *writes* between snapshots. To rebuild a channel's value at a target
# checkpoint we need:
# Stage 1 scans checkpoint metadata (no blob bytes) and emits one row per
# checkpoint with K parallel JSONB key lookups (one column pair per
# requested delta channel: ver_i / hs_i). No subqueries, no aggregation.
# Python walks the parent chain once across all channels.
#
# - the **seed** — the most recent snapshot at-or-before the target
# (a single blob row in `checkpoint_blobs`); and
# - the **chain writes** — every write for this channel committed
# between that snapshot and the target, in order
# (rows in `checkpoint_writes`).
# Stage 2 fetches all writes and the seed blobs for ALL channels in a
# single roundtrip via `channel = ANY(%s)` and chain/seed-version
# filtering.
#
# Two passes, in order:
# Empirical comparison vs an alternative "ship full channel_versions /
# channel_values JSONB and let Python pick" form (1000 checkpoints,
# 8 total channels in graph, 3 delta channels requested):
#
# 1. WALK — scan checkpoint metadata only (no blob bytes). For each
# requested channel we read `channel_versions[ch]` (the seed's blob
# version pointer). Then follow `parent_checkpoint_id` from the
# target backwards in pages of `_DELTA_PAGE_SIZE` rows.
# Postgres execution: A=0.24ms vs B=0.38ms (both negligible)
# End-to-end latency: A=6.83ms vs B=2.28ms (B is 3.0x faster)
# Wire payload: A=836KB vs B=330KB (61% smaller)
# Buffer hits: identical (167 blocks)
#
# Walk depth is driven by the *supersteps since last snapshot*
# counter — `metadata.counters_since_delta_snapshot[ch][1]` — read
# from the target checkpoint. A channel's seed snapshot sits exactly
# `supersteps` hops back along the parent chain; walking by the
# counter (rather than scanning `channel_values` for the snapshot
# marker) is the only reliable way to locate seeds that aren't a
# `_DeltaSnapshot` sentinel — e.g. legacy plain-value blobs left by a
# thread that migrated from a non-delta channel, which `put` stores
# out of the inline `channel_values` map.
#
# 2. FETCH — given each channel's chained checkpoint ids and seed
# version from WALK, pull only the rows we need: writes for those
# exact checkpoint_ids and the seed blob at that exact version. One
# roundtrip, per-channel UNION ALL — no over-fetch.
#
# Walking the *parent chain* (not `list(before=...)`) matters: forked
# threads have multiple branches, and only on-path ancestors contribute.
# B (this dynamic-columns design) wins because it avoids JSONB
# serialization on the wire and JSONB-to-dict deserialization in
# psycopg. Even at K=8 (8 delta channels = 16 dynamic columns), B
# still beats A end-to-end (4.2ms vs 6.8ms).
def _build_delta_walk_sql(channels: Sequence[str]) -> str:
"""Build the paged WALK SQL — scans checkpoint metadata only.
def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
"""Build stage 1 SQL with 2K parallel JSONB key lookups.
Emits one row per checkpoint with K parallel JSONB key lookups (one
`ver_i` column per requested channel — the channel's blob version, the
pointer we dereference in FETCH if this checkpoint is the seed). No
blob bytes; the result set fits a paged `LIMIT` cleanly.
For channels=["messages", "files"] the result is::
For channels=["messages", "files"] (with `paged=True`) the result is::
SELECT checkpoint_id, parent_checkpoint_id,
checkpoint -> 'channel_versions' ->> %s AS ver_0,
checkpoint -> 'channel_versions' ->> %s AS ver_1
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_0,
checkpoint -> 'channel_versions' ->> %s AS ver_1,
(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_1
FROM checkpoints
WHERE thread_id = %s AND checkpoint_ns = %s
AND (%s::text IS NULL OR checkpoint_id < %s)
@@ -234,38 +215,45 @@ def _build_delta_walk_sql(channels: Sequence[str]) -> str:
LIMIT %s
Channel names are passed as `%s` parameters (safe from SQL injection).
Only the column aliases `ver_i` are interpolated into the SQL string
(i is bounded by len(channels) and uses safe identifiers).
Only the column aliases `ver_i` / `hs_i` are interpolated into the
SQL string (i is bounded by len(channels) and uses safe identifiers).
Caller must extend params with `[ch_0, ch_1, ..., thread_id, ns,
cursor, cursor, page_size]`. The `cursor` is the smallest
`checkpoint_id` from the previous page (or `None` on the first page);
`(%s::text IS NULL OR ...)` makes the first-page `WHERE` a no-op.
Caller must extend params with `[ch_0, ch_0, ch_1, ch_1, ...,
thread_id, ns, cursor, cursor, page_size]` when `paged=True`.
When `paged=False`, the WHERE has no cursor predicate and there's no
LIMIT/ORDER BY — kept as a non-public helper for tests/diagnostics.
"""
cols = [
f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}"
for i in range(len(channels))
]
return (
cols = []
for i in range(len(channels)):
cols.append(
f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}, "
f"(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_{i}"
)
sql = (
"SELECT checkpoint_id, parent_checkpoint_id, "
+ ", ".join(cols)
+ " FROM checkpoints WHERE thread_id = %s AND checkpoint_ns = %s"
" AND (%s::text IS NULL OR checkpoint_id < %s)"
" ORDER BY checkpoint_id DESC LIMIT %s"
)
if paged:
sql += (
" AND (%s::text IS NULL OR checkpoint_id < %s)"
" ORDER BY checkpoint_id DESC LIMIT %s"
)
return sql
def _build_delta_fetch_sql(
def _build_delta_stage2_sql(
*,
channels_with_chain: Sequence[str],
channels_with_seed: Sequence[str],
) -> str:
"""Build the FETCH SQL as a per-channel UNION ALL.
"""Build stage 2 SQL as a per-channel UNION ALL.
For each channel with a non-empty chain, emit one branch reading
`checkpoint_writes` for that specific channel + chain_cids. For each
channel with a seed_version, emit one branch reading `checkpoint_blobs`
for that channel + version. This avoids the over-fetch of a single
for that channel + version. This avoids the over-fetch of the prior
`channel = ANY(channels) AND checkpoint_id = ANY(union)` form when
channels have different chain depths.
@@ -281,7 +269,6 @@ def _build_delta_fetch_sql(
"""
branches: list[str] = []
for _ in channels_with_chain:
# NOTE: no ORDER BY on this branch — writes are sorted in assembly.
branches.append(
"SELECT 'w'::text AS _kind, "
"checkpoint_id, channel, "
@@ -301,59 +288,10 @@ def _build_delta_fetch_sql(
return " UNION ALL ".join(branches)
def _ingest_walk_page(
page_rows: Sequence[Mapping[str, Any]],
channels: Sequence[str],
parent_of: dict[str, str | None],
ver_by_i_by_cid: list[dict[str, str | None]],
) -> str | None:
"""Fold one WALK page into `parent_of` + per-channel `ver_by_cid`.
Returns the oldest checkpoint_id seen on this page (smallest, since
pages come back DESC). Caller uses it as the cursor for the next page
(`AND checkpoint_id < cursor`).
"""
oldest: str | None = None
for r in page_rows:
cid = cast(str, r["checkpoint_id"])
parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
for i in range(len(channels)):
ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
# Rows are DESC; the last one is the smallest cid in the page.
oldest = cid
return oldest
def _advance_shared_chain(
target_id: str,
parent_of: Mapping[str, str | None],
shared_cpid_chain: list[str],
max_supersteps: int,
) -> bool:
"""Extend the shared parent chain as far as ingested pages allow.
The chain holds ancestors of the target, newest first: `chain[0]` is
the target's parent, `chain[1]` its grandparent, and so on. A single
chain is shared across all channels and grown to the maximum requested
depth; each channel later slices `chain[:supersteps]`.
Stops when:
- the chain reaches `max_supersteps` hops, OR
- the root is reached (parent is None) — returns True, OR
- the next ancestor's cid isn't in `parent_of` yet (waits for the
next page).
Returns True iff the root was reached.
"""
while len(shared_cpid_chain) < max_supersteps:
top_of_chain = shared_cpid_chain[-1] if shared_cpid_chain else target_id
if top_of_chain not in parent_of:
return False # wait for the next page
parent = parent_of[top_of_chain]
if parent is None:
return True # hit the root
shared_cpid_chain.append(parent)
return False
# Stage 1 rows are dynamic-shape dicts: {checkpoint_id, parent_checkpoint_id,
# ver_0, hs_0, ver_1, hs_1, ...}. Walking is parameterized by the channel
# list to map indices back to channel names — no static TypedDict here.
# `dict[str, Any]` is the practical signature.
class BasePostgresSaver(BaseCheckpointSaver[str]):
@@ -398,92 +336,107 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
if t.decode() != "empty"
}
def _resolve_delta_chains(
self,
@staticmethod
def _ingest_stage1_page(
stage1_rows: Sequence[Mapping[str, Any]],
channels: Sequence[str],
supersteps_by_ch: Mapping[str, int],
shared_cpid_chain: Sequence[str],
ver_by_i_by_cid: Sequence[Mapping[str, str | None]],
has_reached_root: bool,
thread_id: str,
) -> tuple[
dict[str, list[str]],
dict[str, str | None],
dict[str, str | None],
]:
"""Slice the shared parent chain into per-channel chain/seed mappings.
parent_of: dict[str, str | None],
ver_by_i_by_cid: list[dict[str, str | None]],
hs_by_i_by_cid: list[dict[str, bool]],
) -> str | None:
"""Fold one stage-1 page into the running walk-state mappings.
For each channel the seed snapshot sits `supersteps` hops back, so
the seed checkpoint is `shared_cpid_chain[supersteps - 1]` and the
chain is `shared_cpid_chain[:supersteps]` (newest first).
When the chain is shorter than `supersteps` but the walk reached the
root, the persisted chain is "compressed" relative to the logical
superstep count — either because intermediate supersteps were never
persisted (`durability="exit"`) or because the thread never produced
a snapshot at all. In both cases the seed candidate is the oldest
persisted checkpoint (`shared_cpid_chain[-1]`): FETCH loads its blob,
and assembly keeps it only if non-empty (a real snapshot or migrated
value) — otherwise it omits `seed` and replays the full chain on an
empty baseline.
Returns the oldest checkpoint_id seen on this page (smallest, since
pages come back DESC). Caller uses it as the cursor for the next
page (`AND checkpoint_id < cursor`).
"""
chained_cpid_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_cpid_by_ch: dict[str, str | None] = {ch: None for ch in channels}
seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
for i, ch in enumerate(channels):
bound = supersteps_by_ch.get(ch, 0)
if bound <= 0:
continue
if len(shared_cpid_chain) >= bound:
seed_depth = bound
elif has_reached_root:
seed_depth = len(shared_cpid_chain)
else:
logger.warning(
"cannot find seed snapshot for delta channel "
"(thread_id=%s, channel=%s)",
thread_id,
ch,
)
continue
if seed_depth <= 0:
continue
chained_cpid_by_ch[ch] = list(shared_cpid_chain[:seed_depth])
seed_cpid_by_ch[ch] = shared_cpid_chain[seed_depth - 1]
seed_ver_by_ch[ch] = ver_by_i_by_cid[i].get(seed_cpid_by_ch[ch])
return chained_cpid_by_ch, seed_cpid_by_ch, seed_ver_by_ch
oldest: str | None = None
for r in stage1_rows:
cid = cast(str, r["checkpoint_id"])
parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
for i in range(len(channels)):
ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
hs_by_i_by_cid[i][cid] = bool(r.get(f"hs_{i}"))
# Rows are DESC; the last one is the smallest cid in the page.
oldest = cid
return oldest
def _assemble_delta_history(
@staticmethod
def _try_advance_walks(
target_id: str,
channels: Sequence[str],
parent_of: Mapping[str, str | None],
ver_by_i_by_cid: Sequence[Mapping[str, str | None]],
hs_by_i_by_cid: Sequence[Mapping[str, bool]],
chain_by_ch: dict[str, list[str]],
seed_ver_by_ch: dict[str, str | None],
walk_cursor_by_ch: dict[str, str | None],
seeded: set[str],
) -> None:
"""Advance each not-yet-seeded channel's walk as far as possible.
Uses the partial `parent_of` map accumulated so far. A walk stops
either because:
(a) it found a snapshot for its channel (channel becomes seeded),
(b) it reached a real root (parent_of[cid] is None — fully
materialized at this point), or
(c) the next ancestor cid isn't in `parent_of` yet (waiting for
a later page; the cursor stays put).
Mutates `chain_by_ch`, `seed_ver_by_ch`, `walk_cursor_by_ch`, and
`seeded` in place.
"""
for i, ch in enumerate(channels):
if ch in seeded:
continue
# First-time entry: cursor starts at the target's parent.
if ch not in walk_cursor_by_ch:
walk_cursor_by_ch[ch] = parent_of.get(target_id)
cur_cid = walk_cursor_by_ch[ch]
ch_chain = chain_by_ch[ch]
hs_i = hs_by_i_by_cid[i]
ver_i = ver_by_i_by_cid[i]
while cur_cid is not None:
if cur_cid not in parent_of:
# Need more pages to continue this walk.
break
ch_chain.append(cur_cid)
if hs_i.get(cur_cid, False):
seed_ver_by_ch[ch] = ver_i.get(cur_cid)
seeded.add(ch)
cur_cid = None
break
cur_cid = parent_of[cur_cid]
walk_cursor_by_ch[ch] = cur_cid
def _build_delta_channels_writes_history(
self,
*,
channels: Sequence[str],
chained_cpid_by_ch: Mapping[str, Sequence[str]],
seed_cpid_by_ch: Mapping[str, str | None],
chain_by_ch: Mapping[str, list[str]],
seed_ver_by_ch: Mapping[str, str | None],
fetch_rows: Sequence[_DeltaStage2Row],
stage2_rows: Sequence[_DeltaStage2Row],
) -> dict[str, DeltaChannelHistory]:
"""Demux FETCH rows per channel and produce per-channel histories.
"""Demux stage 2 rows per channel; produce per-channel histories.
`fetch_rows` carry `channel` on every row. Write rows (`_kind = 'w'`)
are bucketed per channel per checkpoint; seed-blob rows
(`_kind = 'b'`) give each channel its snapshot value.
The seed checkpoint's own writes are replayed on top of a
`_DeltaSnapshot` seed (the snapshot is the value *prior* to its own
writes), but skipped for a migrated plain-value seed (a legacy
non-delta blob already incorporates those writes). The `seed` key is
omitted when no seed was located or the blob is the "empty"
tombstone — the consumer treats absence as "start empty".
stage2_rows carry `channel` on every row. We build per-channel
`writes_by_cid` and per-channel `seed_blob` dicts, then assemble
a `DeltaChannelHistory` per requested channel. The `seed` key is omitted
when the walk reached root with no snapshot found, or when the
seed blob is sentinel "empty" — in both cases the consumer treats
absence as "start empty".
"""
# writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
ch: {} for ch in channels
}
seed_blob_by_ch: dict[str, tuple[str, bytes]] = {}
# seed_blob_by_ver[(channel, version)] = (type, blob)
seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
for r in fetch_rows:
for r in stage2_rows:
ch = cast(str, r["channel"])
if r["_kind"] == "w":
kind = r["_kind"]
if kind == "w":
cid = cast(str, r["checkpoint_id"])
writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
cast(
@@ -491,39 +444,35 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
(r["type"], r["blob"], r["task_id"], r["idx"]),
)
)
else: # _kind == "b" — the seed blob for this channel.
seed_blob_by_ch[ch] = cast("tuple[str, bytes]", (r["type"], r["blob"]))
else: # kind == "b"
ver = cast(str, r["version"])
seed_blob_by_ver[(ch, ver)] = cast(
"tuple[str, bytes]", (r["type"], r["blob"])
)
# Within a checkpoint, writes apply oldest→newest by (task_id, idx).
# Sort writes per (channel, cid) newest-first by (task_id, idx)
for cid_map in writes_by_ch_by_cid.values():
for ws in cid_map.values():
ws.sort(key=lambda w: (w[2], w[3]))
ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
result: dict[str, DeltaChannelHistory] = {}
for ch in channels:
entry: DeltaChannelHistory = {"writes": []}
skip_seed_checkpoint_writes = False
seed_blob = seed_blob_by_ch.get(ch)
if seed_blob is not None and seed_blob[0] != "empty":
seed_value = self.serde.loads_typed(seed_blob)
entry["seed"] = seed_value
# A migrated (non-delta) seed already includes the writes on
# its own checkpoint; a `_DeltaSnapshot` does not.
skip_seed_checkpoint_writes = not isinstance(seed_value, _DeltaSnapshot)
chain_cids = chain_by_ch.get(ch, [])
seed_version = seed_ver_by_ch.get(ch)
collected: list[PendingWrite] = []
cid_writes = writes_by_ch_by_cid.get(ch, {})
if cid_writes:
collected: list[PendingWrite] = []
seed_cpid = seed_cpid_by_ch.get(ch)
# Chain is newest→oldest; replay oldest→newest.
for cid in reversed(chained_cpid_by_ch.get(ch, [])):
if skip_seed_checkpoint_writes and cid == seed_cpid:
continue
for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
val = self.serde.loads_typed((type_tag, write_blob))
collected.append((task_id, ch, val))
entry["writes"] = collected
for cid in chain_cids:
for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
val = self.serde.loads_typed((type_tag, write_blob))
collected.append((task_id, ch, val))
collected.reverse()
entry: DeltaChannelHistory = {"writes": collected}
if seed_version is not None:
blob = seed_blob_by_ver.get((ch, seed_version))
if blob is not None and blob[0] != "empty":
entry["seed"] = self.serde.loads_typed(blob)
result[ch] = entry
return result
+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
+381 -315
View File
@@ -244,7 +244,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -257,9 +257,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/59/de/679a53472c25860837e32c0442c962fa86e95317a36460e2c9d5c91b17c2/langchain_core-1.4.0.tar.gz", hash = "sha256:1dc341eed802ed9c117c0df3923c991e5e9e226571e5725c194eeb5bd93d1a7f", size = 920260, upload-time = "2026-05-11T18:42:35.919Z" }
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 = [
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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).
@@ -24,12 +24,10 @@ from langgraph.checkpoint.base import (
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from langgraph.checkpoint.sqlite._delta import (
DELTA_WALK_SQL,
DELTA_STAGE1_SQL,
build_delta_channels_writes_history,
build_delta_writes_fetch_sql,
parse_supersteps_since_last_snapshot_by_channel,
resolve_delta_chains,
step_walk_supersteps,
build_delta_stage2_sql,
step_walk_with_row,
)
from langgraph.checkpoint.sqlite.utils import search_where
@@ -507,106 +505,68 @@ class SqliteSaver(BaseCheckpointSaver[str]):
) -> Mapping[str, DeltaChannelHistory]:
"""Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.
Walks the parent chain `supersteps` hops (read from the target's
`counters_since_delta_snapshot` metadata) to each channel's seed
snapshot, then collects the writes between the seed and the target.
Two-stage query:
* WALK: stream a newest-first slice of `checkpoints` returning
* Stage 1 (paged): newest-first slice of `checkpoints` returning
`(checkpoint_id, parent_checkpoint_id, type, checkpoint)` per
ancestor. Sqlite has no JSONB, so we deserialize only the seed
checkpoints to read their inline `channel_values`. Stops once the
shared chain reaches the deepest requested `supersteps` or the
root is reached.
ancestor. Sqlite has no JSONB, so we ship the full serialized
checkpoint blob and inspect `channel_values` in Python. Pages
newest-first by `checkpoint_id` with a `< cursor` predicate;
page size is `DELTA_PAGE_SIZE`. Stops paging when every channel
has found its seed or the chain is exhausted.
* FETCH (per-channel UNION ALL): one branch per channel reading
`writes` filtered to that channel's `chain_cids`. No separate
seed-blob fetch — sqlite stores `channel_values` inline.
* Stage 2 (per-channel UNION ALL): one branch per channel reading
`writes` filtered to that channel's specific `chain_cids`. No
separate seed-blob fetch — sqlite stores `channel_values` inline
in the checkpoint blob, so seeds come back from stage 1.
"""
if not channels:
return {}
channels = list(channels)
thread_id = str(config["configurable"]["thread_id"])
if not thread_id:
raise ValueError("empty thread ID")
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
# Resolve the target checkpoint id + its metadata (for supersteps).
checkpoint_id = get_checkpoint_id(config)
with self.cursor(transaction=False) as cur:
if checkpoint_id is None:
cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = ? AND checkpoint_ns = ? "
"ORDER BY checkpoint_id DESC LIMIT 1",
(thread_id, checkpoint_ns),
)
else:
cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = ? AND checkpoint_ns = ? "
"AND checkpoint_id = ?",
(thread_id, checkpoint_ns, checkpoint_id),
)
target_row = cur.fetchone()
if target_row is None:
return {ch: {"writes": []} for ch in channels}
target_id = str(target_row[0])
metadata = json.loads(target_row[1]) if target_row[1] is not None else {}
supersteps_by_ch = parse_supersteps_since_last_snapshot_by_channel(
metadata, channels
)
max_supersteps = max(supersteps_by_ch.values(), default=0)
needed_depths = set(supersteps_by_ch.values())
if checkpoint_id is None:
target = self.get_tuple(config)
if target is None:
return {ch: {"writes": []} for ch in channels}
checkpoint_id = target.config["configurable"]["checkpoint_id"]
shared_cpid_chain: list[str] = []
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_val_by_ch: dict[str, Any] = {}
walk_state: dict[str, Any] = {}
seed_values_by_depth: dict[int, dict[str, Any]] = {}
seeded: set[str] = set()
with self.cursor(transaction=False) as cur:
if max_supersteps > 0:
cur.execute(DELTA_WALK_SQL, (thread_id, checkpoint_ns, target_id))
for row in cur:
cid, parent_cid, type_tag, blob = row
if step_walk_supersteps(
cid=cid,
parent_cid=parent_cid,
type_tag=type_tag,
blob=blob,
target_id=target_id,
serde=self.serde,
shared_cpid_chain=shared_cpid_chain,
walk_state=walk_state,
max_supersteps=max_supersteps,
needed_depths=needed_depths,
seed_values_by_depth=seed_values_by_depth,
channels=channels,
):
break
cur.execute(DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id))
for row in cur:
cid, parent_cid, type_tag, blob = row
if step_walk_with_row(
cid=cid,
parent_cid=parent_cid,
type_tag=type_tag,
blob=blob,
target_id=checkpoint_id,
serde=self.serde,
chain_by_ch=chain_by_ch,
seed_val_by_ch=seed_val_by_ch,
walk_state=walk_state,
seeded=seeded,
channels=channels,
):
break
(
chained_cpid_by_ch,
seed_cpid_by_ch,
seed_value_by_ch,
) = resolve_delta_chains(
channels=channels,
supersteps_by_ch=supersteps_by_ch,
shared_cpid_chain=shared_cpid_chain,
seed_values_by_depth=seed_values_by_depth,
has_reached_root=bool(walk_state.get("reached_root")),
thread_id=thread_id,
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
stage2_sql = build_delta_stage2_sql(
chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
)
channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
fetch_sql = build_delta_writes_fetch_sql(
chain_lens=[len(chained_cpid_by_ch[ch]) for ch in channels_with_chain],
)
if fetch_sql:
fetch_params: list[Any] = []
if stage2_sql:
stage2_params: list[Any] = []
for ch in channels_with_chain:
fetch_params.extend(
[thread_id, checkpoint_ns, ch, *chained_cpid_by_ch[ch]]
stage2_params.extend(
[thread_id, checkpoint_ns, ch, *chain_by_ch[ch]]
)
cur.execute(fetch_sql, fetch_params)
cur.execute(stage2_sql, stage2_params)
stage2_rows = cast(
"list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
)
@@ -615,9 +575,9 @@ class SqliteSaver(BaseCheckpointSaver[str]):
return build_delta_channels_writes_history(
channels=channels,
chained_cpid_by_ch=chained_cpid_by_ch,
seed_cpid_by_ch=seed_cpid_by_ch,
seed_value_by_ch=seed_value_by_ch,
chain_by_ch=chain_by_ch,
seed_val_by_ch=seed_val_by_ch,
seeded=seeded,
stage2_rows=stage2_rows,
serde=self.serde,
)
@@ -1,50 +1,37 @@
"""Shared helpers for `get_delta_channel_history` on sqlite savers.
Mirrors the supersteps-based two-pass shape of `BasePostgresSaver`
(ancestor walk bounded by `counters_since_delta_snapshot` + per-channel
UNION ALL writes fetch), adapted for sqlite's constraints:
Mirrors the two-stage shape of `BasePostgresSaver` (ancestor walk +
per-channel UNION ALL writes fetch), but adapted for sqlite's
constraints. The structural differences:
* No JSONB — to inspect `channel_values` for a checkpoint we must
deserialize the full blob. The WALK streams the cursor row-by-row and
deserializes only the seed checkpoints (the ones at a channel's
`supersteps` depth), freeing each blob before advancing.
deserialize the full blob. Stage 1 streams the cursor row-by-row and
deserializes only the rows the merged walk visits, freeing each blob
before advancing.
* No separate blob table — `channel_values` lives inline in the
checkpoint, so seeds come back from the WALK with no second fetch.
* Single shared parent-chain walk: each requested channel slices the
same chain to its own `supersteps` depth.
checkpoint, so seeds come back from stage 1 with no second fetch.
* Single merged walk (not K independent walks): each visited cid is
deserialized exactly once, regardless of how many channels are still
seeking their seed.
Walk depth is driven by the *supersteps since last snapshot* counter,
not by scanning `channel_values` for the snapshot marker — the only
reliable way to locate seeds that aren't a `_DeltaSnapshot` sentinel
(e.g. legacy plain-value blobs from a thread migrated off a non-delta
channel).
The streaming design keeps peak in-flight memory at roughly one
deserialized checkpoint at a time, instead of holding the entire
ancestor chain's worth of raw blobs as a `fetchall()`-materialized list.
"""
from __future__ import annotations
import logging
from collections.abc import Mapping, Sequence
from typing import Any
from langgraph.checkpoint.base import (
DeltaChannelHistory,
PendingWrite,
_parse_supersteps_since_last_snapshot_by_channel,
)
from langgraph.checkpoint.serde.types import _DeltaSnapshot
from langgraph.checkpoint.base import DeltaChannelHistory, PendingWrite
logger = logging.getLogger(__name__)
# Re-exported under the package-local name used by the sqlite savers.
parse_supersteps_since_last_snapshot_by_channel = (
_parse_supersteps_since_last_snapshot_by_channel
)
# The WALK streams ancestors of `target_id` newest-first. The `<=`
# Stage 1 streams ancestors of `target_cid` newest-first. The `<=`
# predicate keeps target itself in the stream so we can read its
# `parent_checkpoint_id` from the first matching row without a separate
# lookup; target's own writes/seed are not part of the contract.
DELTA_WALK_SQL = (
# `parent_checkpoint_id` from the first row without a separate lookup;
# the caller skips target's own writes/seed (matches the
# `BaseCheckpointSaver` contract).
DELTA_STAGE1_SQL = (
"SELECT checkpoint_id, parent_checkpoint_id, type, checkpoint "
"FROM checkpoints "
"WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id <= ? "
@@ -52,12 +39,12 @@ DELTA_WALK_SQL = (
)
def build_delta_writes_fetch_sql(*, chain_lens: Sequence[int]) -> str:
"""Per-channel UNION ALL fetching writes from `writes`.
def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
"""Stage-2 per-channel UNION ALL fetching writes from `writes`.
One branch per channel with a non-empty chain. Each branch inlines its
own `IN (?, ?, ...)` placeholder list because sqlite has no array-bind
equivalent of postgres's `= ANY(?)`. Caller passes parameters in
equivalent of postgres's `= ANY(%s)`. Caller passes parameters in
matching order: `[thread_id, checkpoint_ns, channel, *chain_cids]` per
branch.
@@ -78,7 +65,7 @@ def build_delta_writes_fetch_sql(*, chain_lens: Sequence[int]) -> str:
return " UNION ALL ".join(branches)
def step_walk_supersteps(
def step_walk_with_row(
*,
cid: str,
parent_cid: str | None,
@@ -86,142 +73,75 @@ def step_walk_supersteps(
blob: bytes,
target_id: str,
serde: Any,
shared_cpid_chain: list[str],
chain_by_ch: dict[str, list[str]],
seed_val_by_ch: dict[str, Any],
walk_state: dict[str, Any],
max_supersteps: int,
needed_depths: set[int],
seed_values_by_depth: dict[int, dict[str, Any]],
seeded: set[str],
channels: Sequence[str],
) -> bool:
"""Process one streamed WALK row, extending the shared parent chain.
"""Process one streamed stage-1 row in the merged ancestor walk.
The cursor returns `(cid, parent_cid, type, checkpoint)` rows in
`checkpoint_id` DESC order starting at target. The first row is target
itself; we read its `parent_cid` to seed the walk and skip it (target's
own writes/seed are not part of the contract). Off-path rows (a sibling
branch on the same thread) advance the cursor without doing work.
The cursor returns (cid, parent_cid, type, blob) rows in
`checkpoint_id` DESC order starting at target. The first row is
target itself; we read its parent_cid to seed the walk and otherwise
skip it (target's own writes/seed are not part of the contract).
For each on-path ancestor we append its cid to `shared_cpid_chain`
(newest first). When the ancestor sits at a depth some channel needs as
its seed (`len(chain)` ∈ `needed_depths`), we deserialize it once and
record its `channel_values` for the requested channels. The
deserialized checkpoint is dropped immediately — peak in-flight is one
deserialized checkpoint.
For each subsequent row, if `cid` matches the walk's current
position, we deserialize the blob, append the cid to every
not-yet-seeded channel's chain, and check `channel_values` for
seeds. The deserialized checkpoint is dropped before advancing — no
cross-row cache, so peak in-flight is one deserialized checkpoint.
Sets `walk_state["reached_root"]` when an ancestor has no parent.
Returns True when the walk can stop: chain reached `max_supersteps`, or
the root was reached.
Off-path rows (different branch on the same thread) advance the
cursor without doing any work.
Returns True when every requested channel is seeded — the caller
can stop iterating and close the cursor.
"""
if "started" not in walk_state:
if cid == target_id:
walk_state["started"] = True
walk_state["cur_cid"] = parent_cid
if parent_cid is None:
walk_state["reached_root"] = True
return True
walk_state["active"] = {ch for ch in channels if ch not in seeded}
# Not target yet (or target not present): keep streaming.
return False
if len(shared_cpid_chain) >= max_supersteps:
active: set[str] = walk_state["active"]
if not active:
return True
if cid != walk_state["cur_cid"]:
# Off-path row from a sibling branch — skip without deserializing.
return False
shared_cpid_chain.append(cid)
depth = len(shared_cpid_chain) # 1-indexed position along the chain
# Capture channel_values at any depth a channel may use as its seed: the
# exact `supersteps` depths, plus the root-most checkpoint (the seed
# candidate when the chain is shorter than `supersteps`).
if depth in needed_depths or parent_cid is None:
ckpt = serde.loads_typed((type_tag, blob))
channel_values: Mapping[str, Any] = ckpt.get("channel_values") or {}
seed_values_by_depth[depth] = {
ch: channel_values[ch] for ch in channels if ch in channel_values
}
del ckpt, channel_values
if parent_cid is None:
walk_state["reached_root"] = True
return True
for ch in active:
chain_by_ch[ch].append(cid)
ckpt = serde.loads_typed((type_tag, blob))
channel_values: Mapping[str, Any] = ckpt.get("channel_values") or {}
for ch in [ch for ch in active if ch in channel_values]:
seed_val_by_ch[ch] = channel_values[ch]
seeded.add(ch)
active.discard(ch)
del ckpt, channel_values
walk_state["cur_cid"] = parent_cid
return len(shared_cpid_chain) >= max_supersteps
def resolve_delta_chains(
*,
channels: Sequence[str],
supersteps_by_ch: Mapping[str, int],
shared_cpid_chain: Sequence[str],
seed_values_by_depth: Mapping[int, Mapping[str, Any]],
has_reached_root: bool,
thread_id: str,
) -> tuple[
dict[str, list[str]],
dict[str, str | None],
dict[str, Any],
]:
"""Slice the shared parent chain into per-channel chain/seed mappings.
For each channel the seed snapshot sits `supersteps` hops back: the seed
checkpoint is `shared_cpid_chain[supersteps - 1]` and the chain is
`shared_cpid_chain[:supersteps]` (newest first), with the seed's inline
`channel_values[ch]` captured during the walk.
When the chain is shorter than `supersteps` but the walk reached the
root, the persisted chain is "compressed" relative to the logical
superstep count (`durability="exit"`, or a thread that never
snapshotted). The seed candidate is then the oldest persisted checkpoint
(`shared_cpid_chain[-1]`); if its `channel_values[ch]` is absent the
channel has no seed and replays the full chain on an empty baseline.
"""
chained_cpid_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_cpid_by_ch: dict[str, str | None] = {ch: None for ch in channels}
seed_value_by_ch: dict[str, Any] = {}
for ch in channels:
bound = supersteps_by_ch.get(ch, 0)
if bound <= 0:
continue
if len(shared_cpid_chain) >= bound:
seed_depth = bound
elif has_reached_root:
seed_depth = len(shared_cpid_chain)
else:
logger.warning(
"cannot find seed snapshot for delta channel "
"(thread_id=%s, channel=%s)",
thread_id,
ch,
)
continue
if seed_depth <= 0:
continue
chained_cpid_by_ch[ch] = list(shared_cpid_chain[:seed_depth])
seed_cpid_by_ch[ch] = shared_cpid_chain[seed_depth - 1]
seed_vals = seed_values_by_depth.get(seed_depth, {})
if ch in seed_vals:
seed_value_by_ch[ch] = seed_vals[ch]
return chained_cpid_by_ch, seed_cpid_by_ch, seed_value_by_ch
return not active
def build_delta_channels_writes_history(
*,
channels: Sequence[str],
chained_cpid_by_ch: Mapping[str, Sequence[str]],
seed_cpid_by_ch: Mapping[str, str | None],
seed_value_by_ch: Mapping[str, Any],
chain_by_ch: Mapping[str, list[str]],
seed_val_by_ch: Mapping[str, Any],
seeded: set[str],
stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
serde: Any,
) -> dict[str, DeltaChannelHistory]:
"""Demux writes rows per channel; produce per-channel histories.
"""Demux stage-2 rows per channel; produce per-channel histories.
`stage2_rows` are `(checkpoint_id, channel, task_id, idx, type, value)`.
Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
Final write order is oldest→newest globally and `(task_id, idx)` within
a checkpoint, matching the contract on `DeltaChannelHistory.writes`.
The seed checkpoint's own writes are replayed on top of a
`_DeltaSnapshot` seed (the snapshot is the value *prior* to its own
writes), but skipped for a migrated plain-value seed (a legacy
non-delta blob already incorporates those writes). `seed` is omitted
when no seed was located (implicit empty baseline); consumers treat
absence as "start empty".
`seed` is omitted when the walk reached a true root with no snapshot
found (channel never entered `seeded`); consumers treat absence as
"start empty".
"""
writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
ch: {} for ch in channels
@@ -236,26 +156,17 @@ def build_delta_channels_writes_history(
result: dict[str, DeltaChannelHistory] = {}
for ch in channels:
entry: DeltaChannelHistory = {"writes": []}
skip_seed_checkpoint_writes = False
if ch in seed_value_by_ch:
seed_value = seed_value_by_ch[ch]
entry["seed"] = seed_value
skip_seed_checkpoint_writes = not isinstance(seed_value, _DeltaSnapshot)
chain_cids = chain_by_ch.get(ch, [])
cid_writes = writes_by_ch_by_cid.get(ch, {})
if cid_writes:
collected: list[PendingWrite] = []
seed_cpid = seed_cpid_by_ch.get(ch)
# Chain is newest→oldest; replay oldest→newest.
for cid in reversed(list(chained_cpid_by_ch.get(ch, []))):
if skip_seed_checkpoint_writes and cid == seed_cpid:
continue
for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
collected.append(
(task_id, ch, serde.loads_typed((type_tag, value_blob)))
)
entry["writes"] = collected
collected: list[PendingWrite] = []
# Chain is newest-first; iterate oldest-first for the public order.
for cid in reversed(chain_cids):
for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
collected.append(
(task_id, ch, serde.loads_typed((type_tag, value_blob)))
)
entry: DeltaChannelHistory = {"writes": collected}
if ch in seeded:
entry["seed"] = seed_val_by_ch[ch]
result[ch] = entry
return result
@@ -25,12 +25,10 @@ from langgraph.checkpoint.base import (
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from langgraph.checkpoint.sqlite._delta import (
DELTA_WALK_SQL,
DELTA_STAGE1_SQL,
build_delta_channels_writes_history,
build_delta_writes_fetch_sql,
parse_supersteps_since_last_snapshot_by_channel,
resolve_delta_chains,
step_walk_supersteps,
build_delta_stage2_sql,
step_walk_with_row,
)
from langgraph.checkpoint.sqlite.utils import search_where
@@ -627,98 +625,61 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
"""Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
See `SqliteSaver.get_delta_channel_history` for design notes; this
is the async equivalent using `aiosqlite` cursors. The WALK streams
the parent chain newest-first, bounded by the target's
`counters_since_delta_snapshot` supersteps, and deserializes only
seed checkpoints; FETCH pulls the relevant writes via per-channel
UNION ALL.
is the async equivalent using `aiosqlite` cursors. Stage 1 pages
the parent chain newest-first and Python-deserializes each
checkpoint blob to find per-channel snapshots; stage 2 fetches
only the relevant writes via per-channel UNION ALL.
"""
if not channels:
return {}
channels = list(channels)
await self.setup()
thread_id = str(config["configurable"]["thread_id"])
if not thread_id:
raise ValueError("empty thread ID")
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
# Resolve the target checkpoint id + its metadata (for supersteps).
checkpoint_id = get_checkpoint_id(config)
async with self.lock, self.conn.cursor() as cur:
if checkpoint_id is None:
await cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = ? AND checkpoint_ns = ? "
"ORDER BY checkpoint_id DESC LIMIT 1",
(thread_id, checkpoint_ns),
)
else:
await cur.execute(
"SELECT checkpoint_id, metadata FROM checkpoints "
"WHERE thread_id = ? AND checkpoint_ns = ? "
"AND checkpoint_id = ?",
(thread_id, checkpoint_ns, checkpoint_id),
)
target_row = await cur.fetchone()
if target_row is None:
return {ch: {"writes": []} for ch in channels}
target_id = str(target_row[0])
metadata = json.loads(target_row[1]) if target_row[1] is not None else {}
supersteps_by_ch = parse_supersteps_since_last_snapshot_by_channel(
metadata, channels
)
max_supersteps = max(supersteps_by_ch.values(), default=0)
needed_depths = set(supersteps_by_ch.values())
if checkpoint_id is None:
target = await self.aget_tuple(config)
if target is None:
return {ch: {"writes": []} for ch in channels}
checkpoint_id = target.config["configurable"]["checkpoint_id"]
shared_cpid_chain: list[str] = []
chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
seed_val_by_ch: dict[str, Any] = {}
walk_state: dict[str, Any] = {}
seed_values_by_depth: dict[int, dict[str, Any]] = {}
seeded: set[str] = set()
async with self.lock, self.conn.cursor() as cur:
if max_supersteps > 0:
await cur.execute(DELTA_WALK_SQL, (thread_id, checkpoint_ns, target_id))
async for row in cur:
cid, parent_cid, type_tag, blob = row
if step_walk_supersteps(
cid=cid,
parent_cid=parent_cid,
type_tag=type_tag,
blob=blob,
target_id=target_id,
serde=self.serde,
shared_cpid_chain=shared_cpid_chain,
walk_state=walk_state,
max_supersteps=max_supersteps,
needed_depths=needed_depths,
seed_values_by_depth=seed_values_by_depth,
channels=channels,
):
break
(
chained_cpid_by_ch,
seed_cpid_by_ch,
seed_value_by_ch,
) = resolve_delta_chains(
channels=channels,
supersteps_by_ch=supersteps_by_ch,
shared_cpid_chain=shared_cpid_chain,
seed_values_by_depth=seed_values_by_depth,
has_reached_root=bool(walk_state.get("reached_root")),
thread_id=thread_id,
await cur.execute(
DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id)
)
async for row in cur:
cid, parent_cid, type_tag, blob = row
if step_walk_with_row(
cid=cid,
parent_cid=parent_cid,
type_tag=type_tag,
blob=blob,
target_id=checkpoint_id,
serde=self.serde,
chain_by_ch=chain_by_ch,
seed_val_by_ch=seed_val_by_ch,
walk_state=walk_state,
seeded=seeded,
channels=channels,
):
break
channels_with_chain = [ch for ch in channels if chained_cpid_by_ch[ch]]
fetch_sql = build_delta_writes_fetch_sql(
chain_lens=[len(chained_cpid_by_ch[ch]) for ch in channels_with_chain],
channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
stage2_sql = build_delta_stage2_sql(
chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
)
if fetch_sql:
fetch_params: list[Any] = []
if stage2_sql:
stage2_params: list[Any] = []
for ch in channels_with_chain:
fetch_params.extend(
[thread_id, checkpoint_ns, ch, *chained_cpid_by_ch[ch]]
stage2_params.extend(
[thread_id, checkpoint_ns, ch, *chain_by_ch[ch]]
)
await cur.execute(fetch_sql, fetch_params)
await cur.execute(stage2_sql, stage2_params)
stage2_rows = cast(
"list[tuple[str, str, str, int, str, bytes]]",
await cur.fetchall(),
@@ -728,9 +689,9 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
return build_delta_channels_writes_history(
channels=channels,
chained_cpid_by_ch=chained_cpid_by_ch,
seed_cpid_by_ch=seed_cpid_by_ch,
seed_value_by_ch=seed_value_by_ch,
chain_by_ch=chain_by_ch,
seed_val_by_ch=seed_val_by_ch,
seeded=seeded,
stage2_rows=stage2_rows,
serde=self.serde,
)
+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
+195 -128
View File
@@ -253,7 +253,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -266,9 +266,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
sdist = { url = "https://files.pythonhosted.org/packages/59/de/679a53472c25860837e32c0442c962fa86e95317a36460e2c9d5c91b17c2/langchain_core-1.4.0.tar.gz", hash = "sha256:1dc341eed802ed9c117c0df3923c991e5e9e226571e5725c194eeb5bd93d1a7f", size = 920260, upload-time = "2026-05-11T18:42:35.919Z" }
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/0f/1a/86c38c27b81913a1c6c12448cab55defb5a1097c7dc9a4cea83f55477a2d/langchain_core-1.4.0-py3-none-any.whl", hash = "sha256:23cbbdb46e38ddd1dd5247e6167e96013eae74bea4c5949c550809970a9e565c", size = 548120, upload-time = "2026-05-11T18:42:33.992Z" },
{ 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]]
@@ -302,6 +302,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -312,12 +313,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -345,18 +345,18 @@ dependencies = [
dev = [
{ name = "codespell" },
{ name = "langgraph-checkpoint" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-retry" },
{ name = "pytest-watcher" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "langgraph-checkpoint" },
@@ -378,18 +378,18 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-retry", specifier = ">=1.7.0" },
{ name = "pytest-watcher" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
@@ -402,7 +402,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.18"
version = "0.8.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -412,13 +412,164 @@ dependencies = [
{ name = "requests" },
{ name = "requests-toolbelt" },
{ name = "uuid-utils" },
{ name = "websockets" },
{ name = "xxhash" },
{ name = "zstandard" },
]
sdist = { url = "https://files.pythonhosted.org/packages/9a/d9/a6681aa9847bbbc5ec21abe20a5e233b94e5edcfe39624db607ac7e8ccb4/langsmith-0.8.18.tar.gz", hash = "sha256:32dde9c0e67e053e0fb738921fc8ced768af7b8fa83d7a0e3fd63597cf8776dd", size = 4526988, upload-time = "2026-06-19T13:12:17.123Z" }
sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
wheels = [
{ url = "https://files.pythonhosted.org/packages/03/70/0e0cc80a3b064c8d6c8d697c3125ed86e39d5a7393ec6dc8b07cb1cf13c4/langsmith-0.8.18-py3-none-any.whl", hash = "sha256:3940183349993faef48e6c7d08e4822ee9cefd906b362d0e3c2d650314d2f282", size = 508108, upload-time = "2026-06-19T13:12:15.348Z" },
{ url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
]
[[package]]
name = "librt"
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[[package]]
name = "xxhash"
version = "3.6.0"
+5 -2
View File
@@ -18,19 +18,22 @@ test_watch:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
type:
uv run ty check $(PYTHON_FILES)
mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+2 -32
View File
@@ -1,26 +1,6 @@
# LangGraph Checkpoint
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint?label=%20)](https://pypi.org/project/langgraph-checkpoint/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint)](https://pypistats.org/packages/langgraph-checkpoint)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
## Quick Install
```bash
uv add langgraph-checkpoint
```
## 🤔 What is this?
This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph: they save graph state at every superstep, enabling human-in-the-loop, memory between interactions, durable execution, and more.
## 📖 Documentation
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph. They allow you to interact with and manage the graph's state. When you use a graph with a checkpointer, the checkpointer saves a _checkpoint_ of the graph state at every superstep, enabling several powerful capabilities like human-in-the-loop, "memory" between interactions and more.
## Key concepts
@@ -44,7 +24,7 @@ You must pass these when invoking the graph as part of the configurable part of
### Serde
`langgraph-checkpoint` also defines protocol for serialization/deserialization (serde) and provides a default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
> [!IMPORTANT]
> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
@@ -109,13 +89,3 @@ checkpointer.get(read_config)
# list checkpoints
list(checkpointer.list(read_config))
```
## 📕 Releases & Versioning
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
@@ -34,37 +34,6 @@ PendingWrite = tuple[str, str, Any]
logger = logging.getLogger(__name__)
def _parse_supersteps_since_last_snapshot_by_channel(
metadata: Mapping[str, Any],
channels: Sequence[str],
) -> dict[str, int]:
"""Per-channel supersteps-since-last-snapshot, parsed from metadata.
Reads `metadata.counters_since_delta_snapshot[ch]`, a `(updates,
supersteps)` pair, and returns `{ch: supersteps}` for channels whose
supersteps count is positive. Channels with no counter entry (just
snapshotted, or never written) are omitted — their seed, if any, is the
target checkpoint itself and needs no ancestor walk.
Used to drive the ancestor-walk depth in `get_delta_channel_history`:
a channel's seed snapshot sits exactly `supersteps` hops back along the
parent chain.
"""
counters = metadata.get("counters_since_delta_snapshot") or {}
result: dict[str, int] = {}
for ch in channels:
entry = counters.get(ch)
if not isinstance(entry, (list, tuple)) or len(entry) < 2:
continue
try:
supersteps = int(entry[1])
except (TypeError, ValueError):
continue
if supersteps > 0:
result[ch] = supersteps
return result
# Marked as total=False to allow for future expansion.
class CheckpointMetadata(TypedDict, total=False):
"""Metadata associated with a checkpoint."""
@@ -650,30 +619,34 @@ class BaseCheckpointSaver(Generic[V]):
"""
if not channels:
return {}
channels = list(channels)
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
seed_by_ch: dict[str, Any] = {}
remaining: set[str] = set(channels)
target_tuple = self.get_tuple(config)
if target_tuple is None:
return {ch: {"writes": []} for ch in channels}
supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
target_tuple.metadata or {}, channels
cursor_config: RunnableConfig | None = (
target_tuple.parent_config if target_tuple else None
)
max_supersteps = max(supersteps_by_ch.values(), default=0)
chain: list[CheckpointTuple] = []
has_reached_root = False
cursor_config: RunnableConfig | None = target_tuple.parent_config
while cursor_config is not None and len(chain) < max_supersteps:
while cursor_config is not None and remaining:
tup = self.get_tuple(cursor_config)
if tup is None:
break
chain.append(tup)
if tup.parent_config is None:
has_reached_root = True
break
if tup.pending_writes:
for write in reversed(tup.pending_writes):
ch = write[1]
if ch in remaining:
collected_by_ch[ch].append(write)
for ch in list(remaining):
if ch in tup.checkpoint["channel_values"]:
seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
remaining.discard(ch)
cursor_config = tup.parent_config
return self._assemble_default_delta_history(
channels, supersteps_by_ch, chain, has_reached_root, config
)
result: dict[str, DeltaChannelHistory] = {}
for ch in channels:
entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
if ch in seed_by_ch:
entry["seed"] = seed_by_ch[ch]
result[ch] = entry
return result
async def aget_delta_channel_history(
self, *, config: RunnableConfig, channels: Sequence[str]
@@ -687,106 +660,32 @@ class BaseCheckpointSaver(Generic[V]):
"""
if not channels:
return {}
channels = list(channels)
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
seed_by_ch: dict[str, Any] = {}
remaining: set[str] = set(channels)
target_tuple = await self.aget_tuple(config)
if target_tuple is None:
return {ch: {"writes": []} for ch in channels}
supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
target_tuple.metadata or {}, channels
cursor_config: RunnableConfig | None = (
target_tuple.parent_config if target_tuple else None
)
max_supersteps = max(supersteps_by_ch.values(), default=0)
chain: list[CheckpointTuple] = []
has_reached_root = False
cursor_config: RunnableConfig | None = target_tuple.parent_config
while cursor_config is not None and len(chain) < max_supersteps:
while cursor_config is not None and remaining:
tup = await self.aget_tuple(cursor_config)
if tup is None:
break
chain.append(tup)
if tup.parent_config is None:
has_reached_root = True
break
if tup.pending_writes:
for write in reversed(tup.pending_writes):
ch = write[1]
if ch in remaining:
collected_by_ch[ch].append(write)
for ch in list(remaining):
if ch in tup.checkpoint["channel_values"]:
seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
remaining.discard(ch)
cursor_config = tup.parent_config
return self._assemble_default_delta_history(
channels, supersteps_by_ch, chain, has_reached_root, config
)
def _assemble_default_delta_history(
self,
channels: Sequence[str],
supersteps_by_ch: Mapping[str, int],
chain: Sequence[CheckpointTuple],
has_reached_root: bool,
config: RunnableConfig,
) -> dict[str, DeltaChannelHistory]:
"""Slice the walked parent chain into per-channel histories.
For each channel the seed snapshot sits `supersteps` hops back along
`chain` (newest first): the seed checkpoint is `chain[supersteps - 1]`
and its `channel_values[ch]` is the seed value. The seed checkpoint's
own writes are replayed on top of a `_DeltaSnapshot` seed but skipped
for a migrated plain-value seed (the legacy non-delta blob already
incorporates them).
When the chain is shorter than `supersteps` but the root was reached,
the persisted chain is "compressed" relative to the logical superstep
count (`durability="exit"`, or a thread that never snapshotted). The
seed candidate is then the oldest checkpoint (`chain[-1]`); if its
`channel_values[ch]` is absent the channel has no seed and replays
the full chain on an empty baseline.
"""
# Imported lazily to avoid a hard checkpoint→serde-types coupling at
# module import; only the delta surface needs the runtime check.
from langgraph.checkpoint.serde.types import _DeltaSnapshot
thread_id = config["configurable"].get("thread_id")
result: dict[str, DeltaChannelHistory] = {}
for ch in channels:
entry: DeltaChannelHistory = {"writes": []}
bound = supersteps_by_ch.get(ch, 0)
if bound <= 0:
result[ch] = entry
continue
if len(chain) >= bound:
seed_depth = bound
elif has_reached_root:
seed_depth = len(chain)
else:
logger.warning(
"cannot find seed snapshot for delta channel "
"(thread_id=%s, channel=%s)",
thread_id,
ch,
)
result[ch] = entry
continue
if seed_depth <= 0:
result[ch] = entry
continue
chain_slice: Sequence[CheckpointTuple] = chain[:seed_depth]
seed_tuple: CheckpointTuple | None = chain[seed_depth - 1]
skip_seed_checkpoint_writes = False
channel_values = seed_tuple.checkpoint["channel_values"]
if ch in channel_values:
seed_value = channel_values[ch]
entry["seed"] = seed_value
skip_seed_checkpoint_writes = not isinstance(seed_value, _DeltaSnapshot)
else:
# No stored value at the oldest checkpoint → empty baseline,
# so the chain's own writes are all replayed from empty.
seed_tuple = None
collected: list[PendingWrite] = []
# Chain is newest→oldest; replay oldest→newest.
for tup in reversed(list(chain_slice)):
if skip_seed_checkpoint_writes and tup is seed_tuple:
continue
for write in tup.pending_writes or []:
if write[1] == ch:
collected.append(write)
entry["writes"] = collected
entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
if ch in seed_by_ch:
entry["seed"] = seed_by_ch[ch]
result[ch] = entry
return result
@@ -23,7 +23,6 @@ from langgraph.checkpoint.base import (
DeltaChannelHistory,
PendingWrite,
SerializerProtocol,
_parse_supersteps_since_last_snapshot_by_channel,
get_checkpoint_id,
get_checkpoint_metadata,
)
@@ -145,20 +144,14 @@ class InMemorySaver(
) -> Mapping[str, DeltaChannelHistory]:
"""Override: walk the parent chain ONCE for all requested channels.
Walk depth is driven by the target checkpoint's
`counters_since_delta_snapshot[ch]` supersteps counter: each
channel's seed snapshot sits exactly `supersteps` hops back along
the parent chain. This locates seeds reliably even when they aren't
a `_DeltaSnapshot` sentinel — e.g. a legacy plain-value blob from a
thread migrated off a non-delta channel.
Each channel terminates independently at the nearest ancestor
whose stored blob is non-empty. Other channels keep walking until
they find their own terminator or hit the root.
Pre-delta plain-value seeds subsume their own checkpoint's pending
writes (the value already includes them), so those are skipped;
`_DeltaSnapshot` seeds do not (the snapshot is the value AT that
ancestor, prior to its own pending writes), so they are replayed.
When the chain reaches the root short of `supersteps`, the snapshot
was never persisted (implicit empty baseline) — replay the full
chain with no seed.
Pre-delta plain-value blobs subsume their ancestor's pending
writes (the value already includes them); `_DeltaSnapshot` blobs
do not (snapshot is the value AT that ancestor, prior to its own
pending writes that produce the child).
"""
if not channels:
return {}
@@ -166,98 +159,72 @@ class InMemorySaver(
# module import; only this override needs the runtime check.
from langgraph.checkpoint.serde.types import _DeltaSnapshot
channels = list(channels)
thread_id = config["configurable"]["thread_id"]
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
checkpoint_id = config["configurable"].get("checkpoint_id", "")
ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
# Resolve the target checkpoint id + its metadata (for supersteps).
checkpoint_id = get_checkpoint_id(config)
if checkpoint_id is None:
checkpoint_id = next(reversed(ns_storage), None)
target_entry = ns_storage.get(checkpoint_id) if checkpoint_id else None
if target_entry is None:
return {ch: {"writes": []} for ch in channels}
metadata = self.serde.loads_typed(target_entry[1])
supersteps_by_ch = _parse_supersteps_since_last_snapshot_by_channel(
metadata or {}, channels
)
max_supersteps = max(supersteps_by_ch.values(), default=0)
# Walk the parent chain (newest first) up to the deepest supersteps.
chain: list[str] = []
has_reached_root = False
current: str | None = target_entry[2]
while current is not None and len(chain) < max_supersteps:
target_entry = ns_storage.get(checkpoint_id)
current: str | None = target_entry[2] if target_entry is not None else None
while current is not None:
entry = ns_storage.get(current)
if entry is None:
break
chain.append(current)
parent = entry[2]
if parent is None:
has_reached_root = True
break
_, _, parent = entry
current = parent
collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
seed_by_ch: dict[str, Any] = {}
remaining: set[str] = set(channels)
for cp_id in chain:
if not remaining:
break
entry = ns_storage.get(cp_id)
ckpt = self.serde.loads_typed(entry[0]) if entry is not None else None
terminated_here: set[str] = set()
blob_value_by_ch: dict[str, Any] = {}
if ckpt is not None:
versions = ckpt.get("channel_versions", {})
for ch in remaining:
ver = versions.get(ch)
if ver is None:
continue
blob_entry = self.blobs.get((thread_id, checkpoint_ns, ch, ver))
if blob_entry is None or blob_entry[0] == "empty":
continue
blob_value_by_ch[ch] = self.serde.loads_typed(blob_entry)
terminated_here.add(ch)
step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
step_writes.items(), reverse=True
):
if ch not in remaining:
continue
blob_value = blob_value_by_ch.get(ch)
if blob_value is not None and not isinstance(
blob_value, _DeltaSnapshot
):
continue
collected_by_ch[ch].append(
(tid, ch, self.serde.loads_typed(serialized))
)
for ch in terminated_here:
seed_by_ch[ch] = blob_value_by_ch[ch]
remaining.discard(ch)
result: dict[str, DeltaChannelHistory] = {}
for ch in channels:
entry_h: DeltaChannelHistory = {"writes": []}
bound = supersteps_by_ch.get(ch, 0)
if bound <= 0:
result[ch] = entry_h
continue
if len(chain) >= bound:
seed_depth = bound
elif has_reached_root:
seed_depth = len(chain)
else:
logger.warning(
"cannot find seed snapshot for delta channel "
"(thread_id=%s, channel=%s)",
thread_id,
ch,
)
result[ch] = entry_h
continue
if seed_depth <= 0:
result[ch] = entry_h
continue
chain_slice: list[str] = chain[:seed_depth]
seed_cpid: str | None = chain[seed_depth - 1]
skip_seed_checkpoint_writes = False
seed_entry = ns_storage.get(seed_cpid)
if seed_entry is not None:
ckpt = self.serde.loads_typed(seed_entry[0])
ver = (ckpt.get("channel_versions") or {}).get(ch)
blob_entry = (
self.blobs.get((thread_id, checkpoint_ns, ch, ver))
if ver is not None
else None
)
if blob_entry is not None and blob_entry[0] != "empty":
seed_value = self.serde.loads_typed(blob_entry)
entry_h["seed"] = seed_value
skip_seed_checkpoint_writes = not isinstance(
seed_value, _DeltaSnapshot
)
else:
# No stored value at the oldest checkpoint → empty
# baseline; the chain's own writes replay from empty.
seed_cpid = None
collected: list[PendingWrite] = []
# Chain is newest→oldest; replay oldest→newest.
for cp_id in reversed(chain_slice):
if skip_seed_checkpoint_writes and cp_id == seed_cpid:
continue
step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
for (_task_id, _idx), (tid, w_ch, serialized, _) in sorted(
step_writes.items()
):
if w_ch == ch:
collected.append((tid, ch, self.serde.loads_typed(serialized)))
entry_h["writes"] = collected
entry_h: DeltaChannelHistory = {
"writes": list(reversed(collected_by_ch[ch]))
}
if ch in seed_by_ch:
entry_h["seed"] = seed_by_ch[ch]
result[ch] = entry_h
return result
+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"
+3 -15
View File
@@ -351,12 +351,9 @@ class TestInMemorySaverDeltaChannel:
cp1["id"] = "cp1"
cp2 = empty_checkpoint()
cp2["id"] = "cp2"
# Target (cp2) carries the supersteps counter; no snapshot was ever
# taken, so the walk runs back to the root → no seed, empty baseline.
cp2_md = {"counters_since_delta_snapshot": {channel: [1, 2]}}
saver.storage[thread_id][ns] = {
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed(cp2_md), "cp1"),
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
}
# Writes stored at cp1 produced the cp1 snapshot; part of history.
saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
@@ -459,15 +456,10 @@ class TestBaseFallbackGetChannelWrites:
cp1["id"] = "00000000000000000000000000000002.0000000000000000"
cp2 = empty_checkpoint()
cp2["id"] = "00000000000000000000000000000003.0000000000000000"
# The target (cp2) carries `counters_since_delta_snapshot` — the
# supersteps-since-last-snapshot driving the ancestor-walk depth. No
# snapshot was ever taken, so the count runs back past the oldest
# persisted checkpoint (root) → implicit empty baseline, no seed.
cp2_md = {"counters_since_delta_snapshot": {channel: [2, 3]}}
saver.storage[thread_id][ns] = {
cp0["id"]: (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
cp1["id"]: (serde.dumps_typed(cp1), serde.dumps_typed({}), cp0["id"]),
cp2["id"]: (serde.dumps_typed(cp2), serde.dumps_typed(cp2_md), cp1["id"]),
cp2["id"]: (serde.dumps_typed(cp2), serde.dumps_typed({}), cp1["id"]),
}
# Writes under cp0 produced cp1's state; writes under cp1 produced cp2's.
saver.writes[(thread_id, ns, cp0["id"])][("task1", 0)] = (
@@ -615,14 +607,10 @@ class TestPreDeltaBlobTerminator:
cp3["id"] = "cp3"
cp3["channel_versions"][channel] = v3
# cp1 is the pre-delta (migration) seed; the channel became a
# DeltaChannel at cp2, so its supersteps counter starts there: cp2 -> 1,
# cp3 -> 2. The target (cp3) walks 2 hops back to the cp1 seed blob.
cp3_md = {"counters_since_delta_snapshot": {channel: [2, 2]}}
saver.storage[thread_id][ns] = {
"cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
"cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
"cp3": (serde.dumps_typed(cp3), serde.dumps_typed(cp3_md), "cp2"),
"cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
}
# Write under cp1 would be from the pre-delta era and MUST be ignored
# (the blob already captures it). We add one and assert it is not
+1
View File
@@ -1,3 +1,4 @@
# mypy: disable-error-code="operator"
import asyncio
import json
from collections.abc import Iterable
+187 -129
View File
@@ -268,7 +268,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.4.0"
version = "1.3.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -281,9 +281,9 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
@@ -311,6 +311,7 @@ dependencies = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
{ name = "numpy", version = "2.4.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
{ name = "pandas" },
@@ -322,12 +323,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -352,6 +352,7 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -362,12 +363,11 @@ dev = [
{ name = "pytest-watcher" },
{ name = "redis" },
{ name = "ruff" },
{ name = "ty" },
]
lint = [
{ name = "codespell" },
{ name = "mypy" },
{ name = "ruff" },
{ name = "ty" },
]
test = [
{ name = "dataclasses-json" },
@@ -383,7 +383,7 @@ test = [
[[package]]
name = "langsmith"
version = "0.8.18"
version = "0.8.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "httpx" },
@@ -393,13 +393,97 @@ dependencies = [
{ name = "requests" },
{ name = "requests-toolbelt" },
{ name = "uuid-utils" },
{ name = "websockets" },
{ name = "xxhash" },
{ name = "zstandard" },
]
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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 -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:
+9 -9
View File
@@ -21,25 +21,25 @@
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
},
"dependencies": {
"@langchain/core": "^1.1.48",
"@langchain/langgraph": "^1.3.3"
"@langchain/core": "^1.1.42",
"@langchain/langgraph": "^1.2.9"
},
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"@eslint/js": "^10.0.1",
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"eslint": "^10.4.1",
"eslint": "^10.2.1",
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"ts-jest": "^29.4.11",
"typescript": "^6.0.3"
"ts-jest": "^29.4.9",
"typescript": "^5.9.3"
}
}
File diff suppressed because it is too large Load Diff
@@ -9,10 +9,10 @@
},
"dependencies": {
"@js-monorepo-example/shared": "*",
"@langchain/core": "^1.1.48",
"@langchain/langgraph": "^1.3.3"
"@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"
}
}
+6 -6
View File
@@ -17,18 +17,18 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
"devDependencies": {
"turbo": "^2.9.16",
"typescript": "^6.0.3",
"turbo": "^2.9.14",
"typescript": "^5.9.3",
"@tsconfig/recommended": "^1.0.13",
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"eslint": "^10.4.1",
"eslint": "^10.2.1",
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"@typescript-eslint/parser": "^8.59.1",
"prettier": "^3.8.3"
}
}
+1 -1
View File
@@ -3,7 +3,7 @@
"compilerOptions": {
"target": "ES2022",
"module": "ESNext",
"moduleResolution": "bundler",
"moduleResolution": "node",
"allowSyntheticDefaultImports": true,
"esModuleInterop": true,
"skipLibCheck": true,
+180 -164
View File
@@ -28,10 +28,10 @@
debug "^4.3.1"
minimatch "^10.2.4"
"@eslint/config-helpers@^0.6.0":
version "0.6.0"
resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.6.0.tgz#ef9a36881d39dfd5dbeac22b0da997fabfb08b03"
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dependencies:
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@@ -67,10 +67,10 @@
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dependencies:
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levn "^0.4.1"
@@ -103,57 +103,53 @@
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dependencies:
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"@standard-schema/spec" "^1.1.0"
ansi-styles "^5.0.0"
camelcase "6"
decamelize "1.2.0"
js-tiktoken "^1.0.12"
langsmith ">=0.5.0 <1.0.0"
mustache "^4.2.0"
p-queue "^6.6.2"
zod "^3.25.76 || ^4"
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dependencies:
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@@ -220,100 +216,100 @@
resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
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"@typescript-eslint/eslint-plugin@^8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.60.1.tgz#c1060bb8fa4be80624d3f3dec8dd9caca373af76"
integrity sha512-JQ4S5GB0tfjO8BuJ4fcX+HodkzJjYBV+7OJ+wLygaX7OGQ7FudyHL4NSCA6ob+w3Yn+5MkKIozOwQhXeM7opVg==
"@typescript-eslint/eslint-plugin@^8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.59.1.tgz#781bc6f9002982cfaf75a185240e24ad7276628a"
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dependencies:
"@eslint-community/regexpp" "^4.12.2"
"@typescript-eslint/scope-manager" "8.60.1"
"@typescript-eslint/type-utils" "8.60.1"
"@typescript-eslint/utils" "8.60.1"
"@typescript-eslint/visitor-keys" "8.60.1"
"@typescript-eslint/scope-manager" "8.59.1"
"@typescript-eslint/type-utils" "8.59.1"
"@typescript-eslint/utils" "8.59.1"
"@typescript-eslint/visitor-keys" "8.59.1"
ignore "^7.0.5"
natural-compare "^1.4.0"
ts-api-utils "^2.5.0"
"@typescript-eslint/parser@^8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.60.1.tgz#a9d7f30850384d34b41f4687dd8944823c09e289"
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"@typescript-eslint/parser@^8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.59.1.tgz#835d20a62350659a082a1ae2a60b822c40488905"
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dependencies:
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"@typescript-eslint/typescript-estree" "8.60.1"
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"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/typescript-estree" "8.59.1"
"@typescript-eslint/visitor-keys" "8.59.1"
debug "^4.4.3"
"@typescript-eslint/project-service@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.60.1.tgz#eb29712f58d72c222fc727162e92f2ab4670971b"
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"@typescript-eslint/project-service@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.59.1.tgz#49efe87c37ef84262f23df8bf62fdc56698ca6fe"
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dependencies:
"@typescript-eslint/tsconfig-utils" "^8.60.1"
"@typescript-eslint/types" "^8.60.1"
"@typescript-eslint/tsconfig-utils" "^8.59.1"
"@typescript-eslint/types" "^8.59.1"
debug "^4.4.3"
"@typescript-eslint/scope-manager@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.60.1.tgz#2f875962eaad0a0789cc3c36aea9b4ddeb2dd9c8"
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"@typescript-eslint/scope-manager@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.59.1.tgz#ed90d054fc3db2d0c81464db3a953a94fb85bb58"
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dependencies:
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/visitor-keys" "8.60.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/visitor-keys" "8.59.1"
"@typescript-eslint/tsconfig-utils@8.60.1", "@typescript-eslint/tsconfig-utils@^8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.60.1.tgz#bee8b942a13679a878101c9c74577d732062ed93"
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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@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.60.1.tgz#1ae45f0f2a701354beea4a58c2161e40a5e3c379"
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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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dependencies:
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/typescript-estree" "8.60.1"
"@typescript-eslint/utils" "8.60.1"
"@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@8.60.1", "@typescript-eslint/types@^8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.60.1.tgz#ccdc482ba9e17f9723a10ce240b5e67dad3046c4"
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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@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.60.1.tgz#016630b119228bf483ddc652703a6a038f3fdd74"
integrity sha512-alpRkfG8hlVE5kdJW2GkfgDgXxold3e8e4l6EnmhRmRLbekgAPCCGDVD++sABy9FcgPFroq+uFcCSM1vR57Cew==
"@typescript-eslint/typescript-estree@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.59.1.tgz#4391fadf98a22c869c5b6522dbf4e491e53e351a"
integrity sha512-OUd+vJS05sSkOip+BkZ/2NS8RMxrAAJemsC6vU3kmfLyeaJT0TftHkV9mcx2107MmsBVXXexhVu4F0TZXyMl4g==
dependencies:
"@typescript-eslint/project-service" "8.60.1"
"@typescript-eslint/tsconfig-utils" "8.60.1"
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/visitor-keys" "8.60.1"
"@typescript-eslint/project-service" "8.59.1"
"@typescript-eslint/tsconfig-utils" "8.59.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/visitor-keys" "8.59.1"
debug "^4.4.3"
minimatch "^10.2.2"
semver "^7.7.3"
tinyglobby "^0.2.15"
ts-api-utils "^2.5.0"
"@typescript-eslint/utils@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.60.1.tgz#31cf566095602d9fe8ad91837d2eb520b8de762b"
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"@typescript-eslint/utils@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.59.1.tgz#cf6204d69701bbbc5b150f98c18aeef0a42c10bd"
integrity sha512-3pIeoXhCeYH9FSCBI8P3iNwJlGuzPlYKkTlen2O9T1DSeeg8UG8jstq6BLk+Mda0qup7mgk4z4XL4OzRaxZ8LA==
dependencies:
"@eslint-community/eslint-utils" "^4.9.1"
"@typescript-eslint/scope-manager" "8.60.1"
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/typescript-estree" "8.60.1"
"@typescript-eslint/scope-manager" "8.59.1"
"@typescript-eslint/types" "8.59.1"
"@typescript-eslint/typescript-estree" "8.59.1"
"@typescript-eslint/visitor-keys@8.60.1":
version "8.60.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.60.1.tgz#165d1d8901137b944efaf18f00ab5ecb57f06995"
integrity sha512-EbGRQg4FhrmwLodl+t3JNAnXHWVr9Vp+Zl1QBZVPY4ByfkzIT8cX3K6QWODHtkIZqqJVEWvhHSx3v5PDHsaQag==
"@typescript-eslint/visitor-keys@8.59.1":
version "8.59.1"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.59.1.tgz#b5cba576287a3eeb0b400b62813189abcc3f976a"
integrity sha512-LdDNl6C5iJExcM0Yh0PwAIBb9PrSiCsWamF/JyEZawm3kFDnRoaq3LGE4bpyRao/fWeGKKyw7icx0YxrLFC5Cg==
dependencies:
"@typescript-eslint/types" "8.60.1"
"@typescript-eslint/types" "8.59.1"
eslint-visitor-keys "^5.0.0"
acorn-jsx@^5.3.2:
@@ -341,6 +337,11 @@ ajv@^6.14.0:
json-schema-traverse "^0.4.1"
uri-js "^4.2.2"
ansi-styles@^5.0.0:
version "5.2.0"
resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
integrity sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==
argparse@^2.0.1:
version "2.0.1"
resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
@@ -489,6 +490,11 @@ callsites@^3.0.0:
resolved "https://registry.yarnpkg.com/callsites/-/callsites-3.1.0.tgz#b3630abd8943432f54b3f0519238e33cd7df2f73"
integrity sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==
camelcase@6:
version "6.3.0"
resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
concat-map@0.0.1:
version "0.0.1"
resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
@@ -544,6 +550,11 @@ debug@^4.3.1, debug@^4.3.2, debug@^4.4.3:
dependencies:
ms "^2.1.3"
decamelize@1.2.0:
version "1.2.0"
resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-1.2.0.tgz#f6534d15148269b20352e7bee26f501f9a191290"
integrity sha512-z2S+W9X73hAUUki+N+9Za2lBlun89zigOyGrsax+KUQ6wKW4ZoWpEYBkGhQjwAjjDCkWxhY0VKEhk8wzY7F5cA==
deep-is@^0.1.3:
version "0.1.4"
resolved "https://registry.yarnpkg.com/deep-is/-/deep-is-0.1.4.tgz#a6f2dce612fadd2ef1f519b73551f17e85199831"
@@ -742,13 +753,13 @@ eslint-plugin-no-instanceof@^1.0.1:
resolved "https://registry.yarnpkg.com/eslint-plugin-no-instanceof/-/eslint-plugin-no-instanceof-1.0.1.tgz#5d9fc86d160df6991b654b294a62390207f1bb97"
integrity sha512-zlqQ7EsfzbRO68uI+p8FIE7zYB4njs+nNbkNjSb5QmLi2et67zQLqSeaao5U9SpnlZTTJC87nS2oyHo2ACtajw==
eslint-plugin-prettier@^5.5.6:
version "5.5.6"
resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.5.6.tgz#363ebe4d769bce157ccdd8129ce3efd91dc62564"
integrity sha512-ifetmTcxWfz+4qRW3pH/ujdTq2jQIj59AxJMIN26K5avYgU8dxycUETQonWiW+wPrYXA0j3Try0l1CnwVQtDqQ==
eslint-plugin-prettier@^5.5.5:
version "5.5.5"
resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.5.5.tgz#9eae11593faa108859c26f9a9c367d619a0769c0"
integrity sha512-hscXkbqUZ2sPithAuLm5MXL+Wph+U7wHngPBv9OMWwlP8iaflyxpjTYZkmdgB4/vPIhemRlBEoLrH7UC1n7aUw==
dependencies:
prettier-linter-helpers "^1.0.1"
synckit "^0.11.13"
synckit "^0.11.12"
eslint-scope@^9.1.2:
version "9.1.2"
@@ -775,17 +786,17 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
eslint@^10.4.1:
version "10.4.1"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.4.1.tgz#f6640b176e0912246d9ddbf8fcfa5e8b7f02445a"
integrity sha512-AyIKhnOBuOAdueD7RB3xB+YeAWScb9jHsJBgH2Hcde8InP5JYhqrRR6iTMHyTEwgENK54Cp44e4v8BwNhsuHuw==
eslint@^10.2.1:
version "10.2.1"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.2.1.tgz#224b2a6caeb34473eddcf918762363e2e063222a"
integrity sha512-wiyGaKsDgqXvF40P8mDwiUp/KQjE1FdrIEJsM8PZ3XCiniTMXS3OHWWUe5FI5agoCnr8x4xPrTDZuxsBlNHl+Q==
dependencies:
"@eslint-community/eslint-utils" "^4.8.0"
"@eslint-community/regexpp" "^4.12.2"
"@eslint/config-array" "^0.23.5"
"@eslint/config-helpers" "^0.6.0"
"@eslint/config-helpers" "^0.5.5"
"@eslint/core" "^1.2.1"
"@eslint/plugin-kit" "^0.7.2"
"@eslint/plugin-kit" "^0.7.1"
"@humanfs/node" "^0.16.6"
"@humanwhocodes/module-importer" "^1.0.1"
"@humanwhocodes/retry" "^0.4.2"
@@ -1280,9 +1291,9 @@ js-tiktoken@^1.0.12:
base64-js "^1.5.1"
js-yaml@^4.1.1:
version "4.2.0"
resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-4.2.0.tgz#2bd9e85682dd91bd469afb809d816043b3d49524"
integrity sha512-ePWsvanv0DWuDRsW8dnt+R4jQ31SCRCQ7hhNcPXZPsoBZiemuZNYGf7adZdqX2D86j6rvKp3RpCxVTSb8WQlOw==
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"
@@ -1772,12 +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"
@@ -1802,17 +1813,17 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo@^2.9.16:
version "2.9.16"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.16.tgz#ed72ff679c2c54bde0e3a2e40107416181e203a4"
integrity sha512-NqgRQy6j6dPYcdSdv0q1g9QsZg7SWg87RERM8otw/1AtKU2yTFVClOM7cbwKzOonZr/Ek1blTBucw64L9H0Bwg==
turbo@^2.9.14:
version "2.9.14"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.14.tgz#d412fcc4c9bd8dba29cec5bbd54d5a74ab2b1bee"
integrity sha512-BQqXRr4UoWI3UPFrtznCLykYHxwxWh53iCB57x092jPMjIlW1wnm3N895g5irpiXmnxUhREBB0n6+y8BHhs4nw==
optionalDependencies:
"@turbo/darwin-64" "2.9.16"
"@turbo/darwin-arm64" "2.9.16"
"@turbo/linux-64" "2.9.16"
"@turbo/linux-arm64" "2.9.16"
"@turbo/windows-64" "2.9.16"
"@turbo/windows-arm64" "2.9.16"
"@turbo/darwin-64" "2.9.14"
"@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"
@@ -1866,10 +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"
@@ -1888,10 +1899,15 @@ uri-js@^4.2.2:
dependencies:
punycode "^2.1.0"
uuid@^14.0.0:
version "14.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-14.0.0.tgz#0af883220163d264ffe0c084f6b8a89b9666966d"
integrity sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg==
uuid@^10.0.0:
version "10.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
uuid@^13.0.0:
version "13.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
integrity sha512-XQegIaBTVUjSHliKqcnFqYypAd4S+WCYt5NIeRs6w/UAry7z8Y9j5ZwRRL4kzq9U3sD6v+85er9FvkEaBpji2w==
which-boxed-primitive@^1.1.0, which-boxed-primitive@^1.1.1:
version "1.1.1"
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.30"
__version__ = "0.4.26"
+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,
)
+25 -166
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:
@@ -92,14 +66,34 @@ def _get_pip_cleanup_lines(
to_uninstall: tuple[str] | None,
pip_installer: Literal["uv", "pip"],
) -> str:
commands = [
f"""# -- Ensure user deps didn't inadvertently overwrite langgraph-api
commands = ["# -- Validate installed dependencies are internally consistent --"]
if pip_installer == "uv":
commands.append(
"""RUN uv pip check --system || ( \
echo "Dependency resolution check failed. One or more installed packages are incompatible."; \
echo "Pin compatible versions in your dependencies and try again."; \
exit 1 \
)"""
)
elif pip_installer == "pip":
commands.append(
"""RUN python -m pip check || ( \
echo "Dependency resolution check failed. One or more installed packages are incompatible."; \
echo "Pin compatible versions in your dependencies and try again."; \
exit 1 \
)"""
)
commands.append(
"""# -- End dependency validation --
# -- Ensure user deps didn't inadvertently overwrite langgraph-api
RUN mkdir -p /api/langgraph_api /api/langgraph_runtime /api/langgraph_license && \
touch /api/langgraph_api/__init__.py /api/langgraph_runtime/__init__.py /api/langgraph_license/__init__.py
RUN PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir --no-deps -e /api
RUN PYTHONDONTWRITEBYTECODE=1 """
+ install_cmd
+ """ --no-cache-dir --no-deps -e /api
# -- End of ensuring user deps didn't inadvertently overwrite langgraph-api --
# -- Removing build deps from the final image ~<:===~~~ --"""
]
)
if to_uninstall:
for pack in to_uninstall:
if pack not in _BUILD_TOOLS:
@@ -167,133 +161,6 @@ 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 +214,7 @@ 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 +1450,6 @@ def docker_tag(
# Prepend API version if provided
if api_version:
api_version = _resolve_compatible_api_version(
api_version, base_image, f"{language}{version_distro_tag}"
)
full_tag = f"{api_version}-{language}{version_distro_tag}"
elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
return f"{base_image}-{language}{version_distro_tag}"
@@ -1,141 +0,0 @@
"""Detection of tracked Python packages in a local LangGraph project.
Mirrors host-backend's `host.models.dependency_tracking` so that CLI-based
deploys report the same `tracked_packages` revision metadata that
GitHub-based deploys do. The host backend strictly validates each entry
against `<package-name>:<version>` with package-name in `TRACKED_PACKAGES`,
so the detection rules here must match exactly.
"""
from __future__ import annotations
import pathlib
import re
# Single source of truth for which packages the host backend cares about.
# Keep in sync with host-backend/host/models/tracked_packages.py.
TRACKED_PACKAGES: tuple[str, ...] = ("google-adk",)
_MAX_READ_BYTES = 5 * 1024 * 1024
_PACKAGES_ALT = "|".join(re.escape(p) for p in TRACKED_PACKAGES)
_DEPS_RE = re.compile(
rf"(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})"
r"(?:\[[^\]]*\])?"
r"\s*((?:(?:==|>=|<=|~=|!=|>|<)\s*[\w.*]+\s*,?\s*)+)"
)
_UV_LOCK_RE = re.compile(
rf'name\s*=\s*"({_PACKAGES_ALT})"\s*\n\s*version\s*=\s*"([^"]+)"'
)
_BARE_RE = re.compile(rf'(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})(?:\[[^\]]*\])?\s*[,"\'\n]')
_EXTRAS_BRACKET_RE = re.compile(r"\[([a-zA-Z0-9_.\- ,\t]+)\]")
def _appears_in_extras(content: str, pkg: str) -> bool:
for m in _EXTRAS_BRACKET_RE.finditer(content):
for token in m.group(1).split(","):
if token.strip() == pkg:
return True
return False
def _read_text(path: pathlib.Path) -> str | None:
try:
if not path.is_file():
return None
with open(path, "rb") as f:
data = f.read(_MAX_READ_BYTES + 1)
except OSError:
return None
if len(data) > _MAX_READ_BYTES:
data = data[:_MAX_READ_BYTES]
return data.decode("utf-8", errors="replace")
def _find_version_for(
pkg: str,
lock_content: str | None,
pyproject_content: str | None,
requirements_content: str | None,
) -> str | None:
if lock_content is not None:
for m in _UV_LOCK_RE.finditer(lock_content):
if m.group(1) == pkg:
return m.group(2)
for content in (pyproject_content, requirements_content):
if content is None:
continue
for m in _DEPS_RE.finditer(content):
if m.group(1) == pkg:
return m.group(2).strip().rstrip(",")
for m in _BARE_RE.finditer(content):
if m.group(1) == pkg:
return "unknown"
if _appears_in_extras(content, pkg):
return "unknown"
return None
def _resolved_dep_base(
project_root: pathlib.Path, dep_path: str
) -> pathlib.Path | None:
"""Return the resolved dep directory if it stays inside the project root."""
try:
candidate = (project_root / dep_path).resolve()
except (OSError, RuntimeError):
return None
try:
candidate.relative_to(project_root)
except ValueError:
return None
return candidate
def find_tracked_packages(
config: pathlib.Path,
config_json: dict,
) -> list[str]:
"""Return every tracked package found in deps as `<name>:<version>` entries.
`config` is the absolute path to `langgraph.json`; dep paths in
`config_json["dependencies"]` are resolved relative to its parent.
Detection precedence per package: uv.lock resolved > pyproject.toml /
requirements.txt specifier > bare reference > extras bracket (last
two recorded as "unknown"). Output is ordered by `TRACKED_PACKAGES`.
"""
try:
project_root = config.parent.resolve()
except (OSError, RuntimeError):
return []
dep_paths = config_json.get("dependencies") or ["."]
found: dict[str, str] = {}
for dep_path in dep_paths:
if all(pkg in found for pkg in TRACKED_PACKAGES):
break
if not isinstance(dep_path, str):
continue
base = _resolved_dep_base(project_root, dep_path)
if base is None or not base.is_dir():
continue
lock_content = _read_text(base / "uv.lock")
pyproject_content = _read_text(base / "pyproject.toml")
requirements_content = _read_text(base / "requirements.txt")
for pkg in TRACKED_PACKAGES:
if pkg in found:
continue
version = _find_version_for(
pkg, lock_content, pyproject_content, requirements_content
)
if version is not None:
found[pkg] = version
return [f"{pkg}:{found[pkg]}" for pkg in TRACKED_PACKAGES if pkg in found]
+46 -127
View File
@@ -20,7 +20,6 @@ from dotenv import dotenv_values, set_key
import langgraph_cli.config
from langgraph_cli.analytics import log_command
from langgraph_cli.constants import DEFAULT_CONFIG
from langgraph_cli.dependency_tracking import find_tracked_packages
from langgraph_cli.docker import build_docker_image, can_build_locally
from langgraph_cli.exec import Runner, subp_exec
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
@@ -366,42 +365,6 @@ def normalize_image_tag(value: str) -> str:
return value
def _validate_prebuilt_image(runner, image: str, *, verbose: bool) -> None:
"""Ensure a prebuilt image exists locally for linux/amd64."""
try:
stdout, _ = runner.run(
subp_exec(
"docker",
"image",
"inspect",
"--format",
"{{.Os}}/{{.Architecture}}",
image,
verbose=verbose,
collect=True,
)
)
except FileNotFoundError:
raise click.ClickException(
"Docker is required but not installed.\n"
"Install Docker Desktop: https://docs.docker.com/get-docker/"
) from None
except click.exceptions.Exit:
raise click.ClickException(
f"Docker image '{image}' was not found locally. Build or pull the image "
"before deploying with --image."
) from None
image_platform = (stdout or "").strip()
if image_platform != "linux/amd64":
detected = image_platform or "unknown"
raise click.ClickException(
f"Docker image '{image}' targets {detected}, but LangSmith Deployment "
"requires linux/amd64. Rebuild or pull the image for linux/amd64 before "
"deploying with --image."
)
def _extract_deployment_url(deployment: dict[str, object]) -> str:
source_config = deployment.get("source_config")
if isinstance(source_config, dict):
@@ -561,18 +524,12 @@ def _secrets_from_env(
def _resolve_build_mode(
remote_build_flag: bool | None,
*,
force_local: bool = False,
) -> tuple[bool, str | None]:
"""Determine whether to use a remote build.
Returns (use_remote_build, local_build_error). Raises UsageError when
--no-remote is set but the machine cannot build locally. When
`force_local` is set, the function short-circuits and always selects a
local build.
--no-remote is set but the machine cannot build locally.
"""
if force_local:
return False, None
local_build_supported, local_build_error = can_build_locally()
if remote_build_flag is True:
@@ -939,71 +896,63 @@ def _run_local_build(
api_version: str | None,
base_image: str | None,
image_name: str | None,
prebuilt_image: str | None,
name: str | None,
tag: str,
install_command: str | None,
build_command: str | None,
docker_build_args: Sequence[str],
secrets: list[dict[str, str]],
tracked_packages: list[str] | None,
) -> BuildResult:
"""Build locally with Docker, push to registry, update deployment."""
# Use buildx to cross-compile for amd64 when running on a non-x86_64 host
# (e.g. Apple Silicon). On amd64 hosts, plain docker build is sufficient.
needs_buildx = platform.machine() != "x86_64"
local_tag = f"langgraph-deploy-tmp:{int(time.time())}"
image_to_push = prebuilt_image or local_tag
with Runner() as runner:
if prebuilt_image:
_log_deploy_step(step, f"Validating image {prebuilt_image}")
_validate_prebuilt_image(runner, prebuilt_image, verbose=verbose)
click.secho(" Image is available for linux/amd64", fg="green")
# -- Step: Build image --
_log_deploy_step(step, "Building image")
if needs_buildx:
build_flags: list[str] = [
"--platform",
"linux/amd64",
"--load",
]
if not verbose:
build_flags.append("--progress=quiet")
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
docker_command=("docker", "buildx", "build"),
extra_flags=build_flags,
verbose=verbose,
)
else:
# -- Step: Build image --
_log_deploy_step(step, "Building image")
if needs_buildx:
build_flags: list[str] = [
"--platform",
"linux/amd64",
"--load",
]
if not verbose:
build_flags.append("--progress=quiet")
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
docker_command=("docker", "buildx", "build"),
extra_flags=build_flags,
verbose=verbose,
)
else:
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
verbose=verbose,
)
with Progress(message="Building...", elapsed=not verbose):
build_docker_image(
runner,
lambda _msg: None,
config,
config_json,
base_image,
api_version,
pull,
local_tag,
docker_build_args,
install_command,
build_command,
verbose=verbose,
)
step += 1
# -- Step: Get push token and authenticate --
@@ -1072,7 +1021,7 @@ def _run_local_build(
subp_exec(
"docker",
"tag",
image_to_push,
local_tag,
remote_image,
verbose=verbose,
)
@@ -1111,10 +1060,7 @@ def _run_local_build(
# -- Step: Update deployment --
_log_deploy_step(step, f"Updating deployment {deployment_id}")
updated = client.update_deployment(
deployment_id,
resolved_image,
secrets=secrets,
tracked_packages=tracked_packages,
deployment_id, resolved_image, secrets=secrets
)
return BuildResult(
@@ -1137,7 +1083,6 @@ def _run_remote_build(
install_command: str | None,
build_command: str | None,
secrets: list[dict[str, str]],
tracked_packages: list[str] | None,
) -> BuildResult:
"""Upload source tarball and trigger a remote build."""
from langgraph_cli.archive import create_archive
@@ -1168,7 +1113,6 @@ def _run_remote_build(
secrets=secrets,
install_command=install_command,
build_command=build_command,
tracked_packages=tracked_packages,
)
log_offset: str | None = None
@@ -1472,13 +1416,6 @@ 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 +1516,6 @@ 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 +1562,7 @@ def _deploy_cmd(
secrets = _secrets_from_env(_env_without_deployment_name(env_vars))
if image and remote_build_flag is True:
raise click.UsageError("--image cannot be combined with --remote builds.")
use_remote_build, local_build_error = _resolve_build_mode(
remote_build_flag, force_local=image is not None
)
use_remote_build, local_build_error = _resolve_build_mode(remote_build_flag)
if use_remote_build and remote_build_flag is None and local_build_error:
em.note(f"{local_build_error}\nUsing remote build instead.")
if not json_output:
@@ -1666,15 +1597,6 @@ def _deploy_cmd(
if not deployment_id:
raise click.ClickException("Failed to determine deployment ID")
# Scan local sources for tracked packages so the new revision carries
# the same metadata GitHub-backed deploys produce. Failures must never
# block a deploy.
try:
tracked_packages = find_tracked_packages(config, config_json) or None
except Exception as exc:
em.warn(f"Skipped tracked-package scan: {exc}")
tracked_packages = None
# -- 3. Build (divergent path) --
if use_remote_build:
build_result = _run_remote_build(
@@ -1687,7 +1609,6 @@ def _deploy_cmd(
install_command=install_command,
build_command=build_command,
secrets=secrets,
tracked_packages=tracked_packages,
)
else:
build_result = _run_local_build(
@@ -1701,14 +1622,12 @@ def _deploy_cmd(
api_version=api_version,
base_image=base_image,
image_name=image_name,
prebuilt_image=image,
name=name,
tag=tag,
install_command=install_command,
build_command=build_command,
docker_build_args=docker_build_args,
secrets=secrets,
tracked_packages=tracked_packages,
)
# -- 4. Shared wait + result --
-6
View File
@@ -122,14 +122,11 @@ class HostBackendClient:
deployment_id: str,
image_uri: str,
secrets: list[dict[str, str]] | None = None,
tracked_packages: list[str] | None = None,
) -> dict[str, Any]:
payload: dict[str, Any] = {
"revision_source": "internal_docker",
"source_revision_config": {"image_uri": image_uri},
}
if tracked_packages:
payload["tracked_packages"] = tracked_packages
if secrets is not None:
payload["secrets"] = secrets
return self._request(
@@ -146,7 +143,6 @@ class HostBackendClient:
secrets: list[dict[str, str]] | None = None,
install_command: str | None = None,
build_command: str | None = None,
tracked_packages: list[str] | None = None,
) -> dict[str, Any]:
"""Trigger a remote build revision with the uploaded tarball."""
payload: dict[str, Any] = {
@@ -156,8 +152,6 @@ class HostBackendClient:
"langgraph_config_path": config_path,
},
}
if tracked_packages:
payload["tracked_packages"] = tracked_packages
source_config: dict[str, Any] = {}
if install_command is not None:
+2 -16
View File
@@ -23,7 +23,7 @@ dependencies = [
path = "langgraph_cli/__init__.py"
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.5.35,<0.12.0 ; 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)
+38 -161
View File
@@ -1330,6 +1330,8 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_auto, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " in docker_auto
assert "RUN uv pip check --system" in docker_auto
assert "python -m pip check" not in docker_auto
assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto
# Test explicit pip setting
@@ -1338,6 +1340,8 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_pip, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " not in docker_pip
assert "RUN uv pip check --system" not in docker_pip
assert "RUN python -m pip check" in docker_pip
assert "pip install" in docker_pip
assert "rm /usr/bin/uv" not in docker_pip
@@ -1347,6 +1351,8 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_uv, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " in docker_uv
assert "RUN uv pip check --system" in docker_uv
assert "python -m pip check" not in docker_uv
assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv
# Test auto behavior with older image (should use pip)
@@ -1357,6 +1363,8 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_auto_old, base_image="langchain/langgraph-api:0.2.46"
)
assert "uv pip install --system " not in docker_auto_old
assert "RUN uv pip check --system" not in docker_auto_old
assert "RUN python -m pip check" in docker_auto_old
assert "pip install" in docker_auto_old
assert "rm /usr/bin/uv" not in docker_auto_old
@@ -1366,6 +1374,32 @@ def test_config_to_docker_pip_installer():
PATH_TO_CONFIG, config_default, base_image="langchain/langgraph-api:0.2.47"
)
assert "uv pip install --system " in docker_default
assert "RUN uv pip check --system" in docker_default
assert "python -m pip check" not in docker_default
def test_get_pip_cleanup_lines_selects_check_command_by_installer():
cleanup_uv = _get_pip_cleanup_lines(
install_cmd="uv pip install --system",
to_uninstall=None,
pip_installer="uv",
)
assert "RUN uv pip check --system" in cleanup_uv
assert "python -m pip check" not in cleanup_uv
assert cleanup_uv.index("RUN uv pip check --system") < cleanup_uv.index(
"RUN mkdir -p /api/langgraph_api"
)
cleanup_pip = _get_pip_cleanup_lines(
install_cmd="pip install",
to_uninstall=None,
pip_installer="pip",
)
assert "RUN python -m pip check" in cleanup_pip
assert "uv pip check --system" not in cleanup_pip
assert cleanup_pip.index("RUN python -m pip check") < cleanup_pip.index(
"RUN mkdir -p /api/langgraph_api"
)
def test_config_to_docker_uv_lock():
@@ -2490,7 +2524,7 @@ def test_config_to_compose_simple_config():
def test_config_to_compose_env_vars():
graphs = {"agent": "./agent.py:graph"}
expected_compose_stdin = f""" OPENAI_API_KEY: "key"
pull_policy: build
build:
context: .
@@ -2573,7 +2607,7 @@ def test_config_to_compose_env_file():
def test_config_to_compose_watch():
graphs = {"agent": "./agent.py:graph"}
expected_compose_stdin = f"""\
pull_policy: build
build:
context: .
@@ -2599,7 +2633,7 @@ def test_config_to_compose_watch():
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/outer-unit_tests/unit_tests
develop:
watch:
- path: test_config.json
@@ -2646,7 +2680,7 @@ def test_config_to_compose_end_to_end():
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
WORKDIR /deps/outer-unit_tests/unit_tests
develop:
watch:
- path: test_config.json
@@ -2961,163 +2995,6 @@ 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."""
@@ -1,134 +0,0 @@
import pathlib
import pytest
from langgraph_cli.dependency_tracking import (
TRACKED_PACKAGES,
find_tracked_packages,
)
def _write_project(
tmp_path: pathlib.Path,
*,
dep_subdir: str = ".",
uv_lock: str | None = None,
pyproject: str | None = None,
requirements: str | None = None,
dependencies: list[str] | None = None,
) -> tuple[pathlib.Path, dict]:
project_root = tmp_path
dep_dir = (project_root / dep_subdir).resolve()
dep_dir.mkdir(parents=True, exist_ok=True)
if uv_lock is not None:
(dep_dir / "uv.lock").write_text(uv_lock)
if pyproject is not None:
(dep_dir / "pyproject.toml").write_text(pyproject)
if requirements is not None:
(dep_dir / "requirements.txt").write_text(requirements)
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": dependencies or [dep_subdir]}
return config, config_json
def test_uv_lock_resolved_version_preferred(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
uv_lock='name = "google-adk"\nversion = "1.2.3"\n',
pyproject='dependencies = ["google-adk>=0.5"]',
)
assert find_tracked_packages(config, config_json) == ["google-adk:1.2.3"]
def test_pyproject_specifier_used_when_no_lock(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
pyproject='dependencies = ["google-adk>=0.5,<2"]',
)
assert find_tracked_packages(config, config_json) == ["google-adk:>=0.5,<2"]
def test_requirements_txt_specifier(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
requirements="google-adk==1.0.0\n",
)
assert find_tracked_packages(config, config_json) == ["google-adk:==1.0.0"]
def test_bare_reference_records_unknown(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
requirements="google-adk\nother-pkg==1.0\n",
)
assert find_tracked_packages(config, config_json) == ["google-adk:unknown"]
def test_extras_bracket_records_unknown(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
pyproject='dependencies = ["deployments-wrap-sdk[google-adk]>=0.0.1"]',
)
assert find_tracked_packages(config, config_json) == ["google-adk:unknown"]
def test_no_match_returns_empty(tmp_path: pathlib.Path) -> None:
config, config_json = _write_project(
tmp_path,
pyproject='dependencies = ["langgraph>=0.2"]',
)
assert find_tracked_packages(config, config_json) == []
def test_traversal_dep_path_is_skipped(tmp_path: pathlib.Path) -> None:
outside = tmp_path.parent / "outside-project"
outside.mkdir(exist_ok=True)
(outside / "uv.lock").write_text('name = "google-adk"\nversion = "9.9.9"\n')
project_root = tmp_path / "project"
project_root.mkdir()
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": ["../outside-project"]}
assert find_tracked_packages(config, config_json) == []
def test_dep_paths_scanned_in_order(tmp_path: pathlib.Path) -> None:
project_root = tmp_path
(project_root / "first").mkdir()
(project_root / "second").mkdir()
(project_root / "second" / "uv.lock").write_text(
'name = "google-adk"\nversion = "2.0.0"\n'
)
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": ["first", "second"]}
assert find_tracked_packages(config, config_json) == ["google-adk:2.0.0"]
def test_non_string_dep_entry_ignored(tmp_path: pathlib.Path) -> None:
project_root = tmp_path
config = project_root / "langgraph.json"
config.write_text("{}")
config_json = {"dependencies": [123, None]}
assert find_tracked_packages(config, config_json) == []
def test_oversized_file_is_truncated_not_raised(tmp_path: pathlib.Path) -> None:
project_root = tmp_path
config = project_root / "langgraph.json"
config.write_text("{}")
# 6 MB of irrelevant content followed by the tracked-package marker —
# the read cap drops the marker, so nothing should be found.
padded = ("x" * (6 * 1024 * 1024)) + '\nname = "google-adk"\nversion = "1.0.0"\n'
(project_root / "uv.lock").write_text(padded)
assert find_tracked_packages(config, {"dependencies": ["."]}) == []
@pytest.mark.parametrize("pkg", TRACKED_PACKAGES)
def test_every_tracked_package_is_detectable(tmp_path: pathlib.Path, pkg: str) -> None:
config, config_json = _write_project(
tmp_path,
uv_lock=f'name = "{pkg}"\nversion = "1.0.0"\n',
)
assert find_tracked_packages(config, config_json) == [f"{pkg}:1.0.0"]
@@ -1,4 +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"
@@ -1,5 +1,3 @@
import json
import httpx
import pytest
@@ -178,69 +176,6 @@ def test_update_deployment_no_secrets(client):
assert result == {"ok": True}
def _capturing_client(captured: dict) -> HostBackendClient:
def handler(req: httpx.Request) -> httpx.Response:
captured["body"] = req.read()
return httpx.Response(200, json={"ok": True})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
return c
def test_update_deployment_forwards_tracked_packages():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment(
"dep-123",
"image:latest",
tracked_packages=["google-adk:1.0.0"],
)
body = json.loads(captured["body"])
assert body["tracked_packages"] == ["google-adk:1.0.0"]
assert "tracked_packages" not in body["source_revision_config"]
def test_update_deployment_omits_tracked_packages_when_absent():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment("dep-123", "image:latest")
body = json.loads(captured["body"])
assert "tracked_packages" not in body
def test_update_deployment_internal_source_forwards_tracked_packages():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment_internal_source(
"dep-123",
source_tarball_path="path/to/tarball",
config_path="langgraph.json",
tracked_packages=["google-adk:>=0.5"],
)
body = json.loads(captured["body"])
assert body["tracked_packages"] == ["google-adk:>=0.5"]
assert body["source_revision_config"]["source_tarball_path"] == "path/to/tarball"
assert "tracked_packages" not in body["source_revision_config"]
def test_update_deployment_internal_source_omits_tracked_packages_when_absent():
captured: dict = {}
c = _capturing_client(captured)
c.update_deployment_internal_source(
"dep-123",
source_tarball_path="path/to/tarball",
config_path="langgraph.json",
)
body = json.loads(captured["body"])
assert "tracked_packages" not in body
def test_list_revisions(client):
result = client.list_revisions("dep-123", limit=5)
assert result == {"ok": True}
+3 -3
View File
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View File
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[[package]]
name = "xxhash"
version = "3.6.0"
+5 -2
View File
@@ -111,19 +111,22 @@ test_watch_all:
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E r'\.py$$|\.ipynb$$')
lint_package: PYTHON_FILES=langgraph
lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run ty check langgraph
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
type:
uv run ty check langgraph
mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff format $(PYTHON_FILES)
+79 -24
View File
@@ -1,45 +1,100 @@
# 🦜🕸️ LangGraph
<div align="center">
<a href="https://www.langchain.com/langgraph">
<picture>
<source media="(prefers-color-scheme: dark)" srcset="../../.github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset="../../.github/images/logo-light.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
[![PyPI - Version](https://img.shields.io/pypi/v/langgraph?label=%20)](https://pypi.org/project/langgraph/#history)
[![PyPI - License](https://img.shields.io/pypi/l/langgraph)](https://opensource.org/licenses/MIT)
[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph)](https://pypistats.org/packages/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
<div align="center">
<h3>Low-level orchestration framework for building stateful agents.</h3>
</div>
Looking for the JS/TS version? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs).
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
<a href="https://github.com/langchain-ai/langgraph/issues" target="_blank"><img src="https://img.shields.io/github/issues-raw/langchain-ai/langgraph" alt="Open Issues"></a>
<a href="https://docs.langchain.com/oss/python/langgraph/overview" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue" alt="Docs"></a>
<a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
<br>
## Quick Install
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
```bash
uv add langgraph
## Get started
Install LangGraph:
```
pip install -U langgraph
```
## 🤔 What is this?
Create a simple workflow:
LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. LangGraph provides the infrastructure for durable execution, streaming, human-in-the-loop, persistence, memory, and more.
```python
from langgraph.graph import START, StateGraph
from typing_extensions import TypedDict
We recommend you use LangGraph when you have advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency. Use [LangChain](https://docs.langchain.com/oss/python/langchain/overview) when you want to quickly build agents and applications powered by LLMs using pre-built agent architectures and model integrations.
LangChain [agents](https://docs.langchain.com/oss/python/langchain/agents) are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)
class State(TypedDict):
text: str
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is used to ship AI applications at scale.
## 📖 Documentation
def node_a(state: State) -> dict:
return {"text": state["text"] + "a"}
For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph/). For conceptual guides, tutorials, and examples on using LangGraph, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview). Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
## 📕 Releases & Versioning
def node_b(state: State) -> dict:
return {"text": state["text"] + "b"}
See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
## 💁 Contributing
graph = StateGraph(State)
graph.add_node("node_a", node_a)
graph.add_node("node_b", node_b)
graph.add_edge(START, "node_a")
graph.add_edge("node_a", "node_b")
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
print(graph.compile().invoke({"text": ""}))
# {'text': 'ab'}
```
For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
## Core benefits
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
## LangGraphs ecosystem
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) Provides integrations and composable components to streamline LLM application development.
> [!NOTE]
> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Additional resources
- [Guides](https://docs.langchain.com/oss/python/langgraph/guides): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
## Acknowledgements
+34 -140
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,
@@ -80,70 +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).
Six cases total (3 base types x 2 non-None new types).
"""
if new is None:
return base
if base is None:
return new.copy() if isinstance(new, (list, BaseCallbackManager)) else new
if isinstance(new, list):
if isinstance(base, list):
return base + new
if isinstance(base, BaseCallbackManager):
mngr = base.copy()
for cb in new:
mngr.add_handler(cb, inherit=True)
return mngr
elif isinstance(new, BaseCallbackManager):
if isinstance(base, list):
mngr = new.copy()
for cb in base:
mngr.add_handler(cb, inherit=True)
return mngr
if isinstance(base, BaseCallbackManager):
return base.merge(new)
raise NotImplementedError(f"Unsupported callback types: {type(base)}, {type(new)}")
def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
"""Merge multiple configs into one.
@@ -163,10 +98,10 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
if not value:
continue
if key == "metadata":
base[key] = _merge_metadata(
cast(Mapping[str, Any] | None, base.get(key)),
cast(Mapping[str, Any], value),
)
if base_value := base.get(key):
base[key] = {**base_value, **value} # type: ignore
else:
base[key] = value # type: ignore[literal-required]
elif key == "tags":
if base_value := base.get(key):
base[key] = [*base_value, *value] # type: ignore
@@ -178,9 +113,34 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
else:
base[key] = value
elif key == "callbacks":
base["callbacks"] = _merge_callbacks(
base.get("callbacks"), cast(Callbacks, value)
)
base_callbacks = base.get("callbacks")
# callbacks can be either None, list[handler] or manager
# so merging two callbacks values has 6 cases
if isinstance(value, list):
if base_callbacks is None:
base["callbacks"] = value.copy()
elif isinstance(base_callbacks, list):
base["callbacks"] = base_callbacks + value
else:
# base_callbacks is a manager
mngr = base_callbacks.copy()
for callback in value:
mngr.add_handler(callback, inherit=True)
base["callbacks"] = mngr
elif isinstance(value, BaseCallbackManager):
# value is a manager
if base_callbacks is None:
base["callbacks"] = value.copy()
elif isinstance(base_callbacks, list):
mngr = value.copy()
for callback in base_callbacks:
mngr.add_handler(callback, inherit=True)
base["callbacks"] = mngr
else:
# base_callbacks is also a manager
base["callbacks"] = base_callbacks.merge(value)
else:
raise NotImplementedError
elif key == "recursion_limit":
if config["recursion_limit"] != DEFAULT_RECURSION_LIMIT:
base["recursion_limit"] = config["recursion_limit"]
@@ -343,65 +303,13 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
if _is_not_empty(v)
},
)
# An explicit config that supplies its own checkpoint coordinate (a
# thread_id, or any checkpoint_ns/checkpoint_id/checkpoint_map) is addressing
# its own checkpoint lineage, so drop the inherited ambient configurable
# rather than merging over it: a child graph invoked inside a parent node
# would otherwise write its checkpoints under the parent's namespace and
# never find them again. An explicit thread_id resets even when it equals the
# ambient one, since a child reusing the parent's thread id still addresses
# its own root namespace, not the parent task's. Configs that only refine
# other keys keep the ambient and shallow-merge over it below.
if empty.get(CONF):
for config in configs:
if config is None:
continue
explicit_configurable = config.get(CONF)
if not explicit_configurable:
continue
if any(
_is_not_empty(explicit_configurable.get(k))
for k in _CHECKPOINT_COORDINATE_KEYS
):
empty[CONF] = {}
break
for config in configs:
if config is None:
continue
for k, v in config.items():
if _is_not_empty(v) and k in CONFIG_KEYS:
if k == CONF:
# Shallow-merge configurable dicts across configs so values
# bound via with_config(...) (e.g. ls_agent_type) are
# preserved when later configs (e.g. invoke-time) only
# specify a subset of keys like thread_id.
existing = empty.get(k)
empty[k] = (
{**cast(dict, existing), **cast(dict, v)}
if existing
else cast(dict, v).copy()
)
elif k == "callbacks":
empty["callbacks"] = _merge_callbacks(
empty.get("callbacks"), cast(Callbacks, v)
)
elif k == "metadata":
# Matches merge_configs: top-level metadata keys merge, and
# only `lc_versions` merges one level deeper.
empty["metadata"] = _merge_metadata(
cast(Mapping[str, Any] | None, empty.get("metadata")),
cast(Mapping[str, Any], v),
)
elif k == "tags":
# Concatenate tags across configs so values bound via
# with_config(...) are preserved when later configs
# supply additional tags. Matches merge_configs.
existing_tags: list[str] | None = empty.get("tags")
empty["tags"] = (
[*existing_tags, *cast(list, v)]
if existing_tags
else list(cast(list, v))
)
empty[k] = cast(dict, v).copy()
else:
empty[k] = v # type: ignore[literal-required]
for k, v in config.items():
@@ -458,17 +366,3 @@ _PROPAGATE_TO_METADATA = frozenset(
"graph_id",
)
)
def filter_to_user_tags(tags: Sequence[str] | None) -> list[str] | None:
"""Drop langgraph's internal `seq:step:*` bookkeeping tags.
`seq:step:N` tags are added internally to mark sequence steps; everything
else (user-supplied tags and any other framework tags) is kept. Returns the
surviving tags, or `None` if none remain. Shared by the `messages` and
`tasks` stream handlers so both surface the same tag set on their metadata.
"""
if not tags:
return None
filtered = [t for t in tags if not t.startswith("seq:step")]
return filtered or None
@@ -95,15 +95,6 @@ NULL_TASK_ID = sys.intern("00000000-0000-0000-0000-000000000000")
OVERWRITE = sys.intern("__overwrite__")
# dict key for the overwrite value, used as `{'__overwrite__': value}`
# Checkpoint coordinate keys: when any of these appear in an explicit
# configurable, the caller is addressing its own checkpoint lineage.
_CHECKPOINT_COORDINATE_KEYS = (
CONFIG_KEY_THREAD_ID,
CONFIG_KEY_CHECKPOINT_NS,
CONFIG_KEY_CHECKPOINT_ID,
CONFIG_KEY_CHECKPOINT_MAP,
)
# redefined to avoid circular import with langgraph.constants
_TAG_HIDDEN = sys.intern("langsmith:hidden")
-23
View File
@@ -21,7 +21,6 @@ __all__ = (
"InvalidUpdateError",
"GraphBubbleUp",
"GraphInterrupt",
"NodeCancelledError",
"NodeError",
"NodeInterrupt",
"NodeTimeoutError",
@@ -165,28 +164,6 @@ class NodeError:
"""Exception raised by the failed node."""
class NodeCancelledError(Exception):
"""Raised when a node body raises ``asyncio.CancelledError`` itself.
``asyncio.CancelledError`` is a ``BaseException`` and the pregel runner
treats cancelled task futures as silent tear-down (e.g. when it stops
sibling tasks after a peer fails). That is the correct behaviour for
*framework-initiated* cancellation, but a user node that raises
``asyncio.CancelledError`` from its own body should surface as a node
failure, the same way any other exception would.
The retry layer converts user-raised ``asyncio.CancelledError`` into this
type so it flows through the normal error path and the run reports as
``error`` instead of silently succeeding.
"""
node: str
def __init__(self, node: str, message: str | None = None) -> None:
super().__init__(message or f"Node {node!r} raised asyncio.CancelledError")
self.node = node
class NodeTimeoutError(Exception):
"""Raised when a node invocation exceeds one of its configured timeouts.
@@ -1,6 +1,5 @@
from __future__ import annotations
import uuid
from collections.abc import Callable, Mapping
from datetime import datetime, timezone
from typing import Any, cast
@@ -35,17 +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]],
@@ -70,42 +58,6 @@ def delta_channels_to_snapshot(
return result
def advance_delta_counters(
channels: Mapping[str, BaseChannel],
prev_metadata: Mapping[str, Any] | None,
updated_channels: set[str] | None,
) -> tuple[dict[str, tuple[int, int]], set[str]]:
"""Advance per-delta-channel `(updates, supersteps)` counters one step.
Mirrors the counter bookkeeping in `PregelLoop._put_checkpoint`: every
superstep bumps `supersteps` for all delta channels and `updates` for
those written this step, then channels that hit their snapshot cadence
are reset to `(0, 0)`.
Used by `update_state` (which creates a delta checkpoint outside the
main loop) so the written checkpoint carries a correct
`counters_since_delta_snapshot` without it, the supersteps-based
`get_delta_channel_history` walk can't locate the seed. Returns
`(new_counters, channels_to_snapshot)`; callers drop `(0, 0)` entries
before writing the metadata field.
"""
prev = dict((prev_metadata or {}).get("counters_since_delta_snapshot") or {})
updated = updated_channels or set()
new_counters: dict[str, tuple[int, int]] = {}
for name, ch in channels.items():
if not isinstance(ch, DeltaChannel):
continue
u, s = prev.get(name, (0, 0))
s += 1
if name in updated:
u += 1
new_counters[name] = (u, s)
channels_to_snapshot = delta_channels_to_snapshot(channels, new_counters)
for k in channels_to_snapshot:
new_counters[k] = (0, 0)
return new_counters, channels_to_snapshot
def create_checkpoint(
checkpoint: Checkpoint,
channels: Mapping[str, BaseChannel] | None,
+1 -2
View File
@@ -102,7 +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,
@@ -1273,7 +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,
+3 -3
View File
@@ -15,7 +15,6 @@ from langchain_core.messages.utils import convert_to_messages
from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
from pydantic import BaseModel
from langgraph._internal._config import filter_to_user_tags
from langgraph._internal._constants import NS_SEP
from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
from langgraph.pregel.protocol import StreamChunk
@@ -144,8 +143,9 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
]
if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
return
if (filtered_tags := filter_to_user_tags(tags)) is not None:
metadata["tags"] = filtered_tags
if tags:
if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
metadata["tags"] = filtered_tags
self.metadata[run_id] = (ns, metadata)
def on_llm_new_token(
@@ -1,374 +0,0 @@
# libs/langgraph/langgraph/pregel/_remote_run_stream.py
from __future__ import annotations
import logging
import sys
from collections.abc import AsyncIterator, Iterator, Mapping
from types import TracebackType
from typing import Any, cast
from langchain_core.runnables import RunnableConfig
from langgraph_sdk._async.stream import AsyncThreadStream
from langgraph_sdk._sync.stream import SyncThreadStream
from langgraph_sdk.client import LangGraphClient, SyncLangGraphClient
from langgraph_sdk.stream.decoders import DataDecoder
from langgraph.types import Command
logger = logging.getLogger(__name__)
def _translate_command_input(input: Any) -> Any:
"""Translate a local `Command` into the v3 wire `input`, else passthrough.
The v3 server decides start-vs-resume from thread state (an interrupted
run or pending interrupts) and, on resume, wraps the whole `input` as
`{"resume": input}` itself. So a resume `Command` must surface its raw
`resume` value as the wire `input` (not the serialized dataclass, which
the server would double-wrap). The v3 `run.start` path has no `goto` /
`update` channel, so those are rejected.
`langgraph_sdk` is upstream of `langgraph`, so this `Command`-aware
marshalling lives here on the adapter (langgraph) side of the boundary.
"""
if isinstance(input, Command):
if input.goto or input.update:
raise NotImplementedError(
"RemoteGraph v3 streaming supports `Command(resume=...)` only; "
"`goto` / `update` are not supported by the v3 `run.start` path."
)
return input.resume
return input
class _ChannelProjection:
"""Decoded projection for a wire channel the SDK doesn't type natively.
Subscribes to `channel` and decodes each event's `params["data"]` through the
SDK's `DataDecoder` — the same decoder the SDK's own plain-payload projections
(`values` / `updates` / `checkpoints` / `tasks`) use, which yields the item
shape that local's `UpdatesTransformer` / `CheckpointsTransformer` /
`TasksTransformer` / `CustomTransformer` push, so iterating this matches the
corresponding local projection. Iterate with `for` against a sync stream and
`async for` against an async stream (matching the underlying SDK). Opening
the subscription requires the stream to be entered (`with` / `async with`).
"""
def __init__(self, sdk: AsyncThreadStream | SyncThreadStream, channel: str) -> None:
self._sdk = sdk
self._channel = channel
def __iter__(self) -> Iterator[Any]:
# Sync lane: the sync adapter's SDK returns a sync iterator here.
decoder = DataDecoder(self._channel)
events = cast(Iterator[Any], self._sdk.subscribe([self._channel]))
for event in events:
yield from decoder.feed(event)
def __aiter__(self) -> AsyncIterator[Any]:
return self._aiter()
async def _aiter(self) -> AsyncIterator[Any]:
# Async lane: the async adapter's SDK returns an async iterator here.
decoder = DataDecoder(self._channel)
events = cast(AsyncIterator[Any], self._sdk.subscribe([self._channel]))
async for event in events:
for item in decoder.feed(event):
yield item
class _ProjectionRegistry(Mapping[str, Any]):
"""Read-only name -> projection registry mirroring local `GraphRunStream.extensions`.
Resolution follows the langchain-protocol wire channels, and every entry
yields the same decoded item shape local does (`params.data`):
- `values` / `messages` / `tool_calls` / `subgraphs` resolve to the SDK's
decoded typed projections. `tool_calls` is the `tools` channel tool
*execution* events, distinct from the tool-call *inputs* inside `messages`.
- `updates` / `checkpoints` / `tasks` / `custom` have no typed SDK
projection, so they resolve to a `_ChannelProjection` that subscribes to
the channel and yields `params.data` matching the local transformer
output for those channels.
- any other name is a specific custom-extension channel
(`thread.extensions[name]`, i.e. `custom:<name>`).
`lifecycle` is intentionally absent: local derives a status payload from it
rather than yielding `params.data`, and the SDK consumes it as control-plane
(driving `output` / `interrupted`), so its shape can't be matched — it
remains reachable via the raw `events` iterator. `debug` is absent too: it
is not a v3 wire channel.
"""
# Channels the SDK decodes into typed projections.
_TYPED = ("values", "messages", "tool_calls", "subgraphs")
# Wire channels with no typed SDK projection — decoded here to match local.
_DECODED = ("updates", "checkpoints", "tasks", "custom")
_NATIVE = _TYPED + _DECODED
def __init__(self, sdk: AsyncThreadStream | SyncThreadStream) -> None:
self._sdk = sdk
def __getitem__(self, name: str) -> Any:
if name in self._TYPED:
return getattr(self._sdk, name)
if name in self._DECODED:
return _ChannelProjection(self._sdk, name)
return self._sdk.extensions[name]
def __iter__(self) -> Iterator[str]:
return iter(self._NATIVE)
def __len__(self) -> int:
return len(self._NATIVE)
class _RemoteGraphRunStream:
"""Sync adapter: SyncThreadStream -> GraphRunStream surface."""
def __init__(
self,
*,
sync_client: SyncLangGraphClient,
sdk_thread: SyncThreadStream,
input: Any,
config: RunnableConfig | None,
metadata: dict[str, Any] | None,
) -> None:
self._client = sync_client
self._sdk = sdk_thread
self._start_kwargs: dict[str, Any] = {
"input": _translate_command_input(input),
"config": config,
"metadata": metadata,
}
self._run_id: str | None = None
self._closed = False
self._events_iter: Iterator[Any] | None = None
def __enter__(self) -> _RemoteGraphRunStream:
if self._closed:
raise RuntimeError("_RemoteGraphRunStream already closed")
self._sdk.__enter__()
try:
result = self._sdk.run.start(**self._start_kwargs)
except BaseException:
self._sdk.__exit__(*sys.exc_info())
raise
self._run_id = result["run_id"]
return self
def __exit__(
self,
exc_type: type[BaseException] | None,
exc: BaseException | None,
tb: TracebackType | None,
) -> None:
if self._closed:
return
self._closed = True
self._sdk.__exit__(exc_type, exc, tb)
@property
def output(self) -> Any:
return self._sdk.output
@property
def interrupted(self) -> bool:
"""Whether the remote run is currently paused at an interrupt.
Reads the SDK's current value without blocking. This differs from
local `GraphRunStream.interrupted`, which drives the run to terminal
before returning the flag. Sync callers needing a wait-for-interrupt
pattern should switch to the async API and drain a projection.
"""
return self._sdk.interrupted
@property
def interrupts(self) -> list[Any]:
"""Current outstanding interrupt payloads (non-blocking snapshot)."""
return list(self._sdk.interrupts)
@property
def values(self) -> Any:
"""Live state-snapshot projection (mirrors local `run.values`)."""
return self._sdk.values
@property
def messages(self) -> Any:
"""Live message-stream projection (mirrors local `run.messages`)."""
return self._sdk.messages
@property
def subgraphs(self) -> Any:
"""Subgraph-handle projection (mirrors local `run.subgraphs`)."""
return self._sdk.subgraphs
@property
def tool_calls(self) -> Any:
"""Tool-execution projection (the `tools` channel).
These are tool *execution* events (started / output / finished),
distinct from the tool-call *inputs* carried inside `messages`.
"""
return self._sdk.tool_calls
@property
def extensions(self) -> Mapping[str, Any]:
"""Name -> projection registry (mirrors local `run.extensions`)."""
return _ProjectionRegistry(self._sdk)
def abort(self) -> None:
if self._closed:
return
self._closed = True
if self._run_id is not None:
try:
self._client.runs.cancel(self._sdk.thread_id, self._run_id, wait=False)
except Exception:
logger.debug("abort: runs.cancel failed", exc_info=True)
try:
self._sdk.close()
except Exception:
logger.debug("abort: sdk.close failed", exc_info=True)
def __iter__(self) -> Iterator[Any]:
if self._events_iter is None:
self._events_iter = iter(self._sdk.events)
return self._events_iter
def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
yield from self._sdk.interleave_projections(list(names))
class _AsyncRemoteGraphRunStream:
"""Async adapter: AsyncThreadStream -> AsyncGraphRunStream surface."""
def __init__(
self,
*,
client: LangGraphClient,
sdk_thread: AsyncThreadStream,
input: Any,
config: RunnableConfig | None,
metadata: dict[str, Any] | None,
) -> None:
self._client = client
self._sdk = sdk_thread
self._start_kwargs: dict[str, Any] = {
"input": _translate_command_input(input),
"config": config,
"metadata": metadata,
}
self._run_id: str | None = None
self._closed = False
self._events_aiter: AsyncIterator[Any] | None = None
async def __aenter__(self) -> _AsyncRemoteGraphRunStream:
if self._closed:
raise RuntimeError("_AsyncRemoteGraphRunStream already closed")
await self._sdk.__aenter__()
try:
result = await self._sdk.run.start(**self._start_kwargs)
except BaseException:
await self._sdk.__aexit__(*sys.exc_info())
raise
self._run_id = result["run_id"]
return self
async def __aexit__(
self,
exc_type: type[BaseException] | None,
exc: BaseException | None,
tb: TracebackType | None,
) -> None:
if self._closed:
return
self._closed = True
await self._sdk.__aexit__(exc_type, exc, tb)
async def output(self) -> Any:
"""Drive the remote run to completion and return the final state.
Awaits the SDK's terminal-state awaitable, matching local
`AsyncGraphRunStream.output()` (a method, not a property, so
`run.output` without `await` fails at type-check time rather than
silently yielding a coroutine).
"""
return await self._sdk.output
async def interrupted(self) -> bool:
"""Whether the remote run is currently paused at an interrupt.
Reads the SDK's current value without blocking. This differs from
local `AsyncGraphRunStream.interrupted()`, which drives the run to
terminal before returning the flag. Callers that need a
wait-for-interrupt pattern should drain a projection (e.g.,
`async for snap in stream._sdk.values`) until the SDK's paused
sentinel fires, then call this method.
"""
return self._sdk.interrupted
async def interrupts(self) -> list[Any]:
"""Current outstanding interrupt payloads.
Non-blocking; reads the SDK's current snapshot. See `interrupted`
for the divergence from local v3 semantics.
"""
return list(self._sdk.interrupts)
@property
def values(self) -> Any:
"""Live state-snapshot projection (mirrors local `run.values`)."""
return self._sdk.values
@property
def messages(self) -> Any:
"""Live message-stream projection (mirrors local `run.messages`)."""
return self._sdk.messages
@property
def subgraphs(self) -> Any:
"""Subgraph-handle projection (mirrors local `run.subgraphs`)."""
return self._sdk.subgraphs
@property
def tool_calls(self) -> Any:
"""Tool-execution projection (the `tools` channel).
These are tool *execution* events (started / output / finished),
distinct from the tool-call *inputs* carried inside `messages`.
"""
return self._sdk.tool_calls
@property
def extensions(self) -> Mapping[str, Any]:
"""Name -> projection registry (mirrors local `run.extensions`)."""
return _ProjectionRegistry(self._sdk)
async def abort(self) -> None:
if self._closed:
return
self._closed = True
if self._run_id is not None:
try:
await self._client.runs.cancel(
self._sdk.thread_id, self._run_id, wait=False
)
except Exception:
logger.debug("abort: runs.cancel failed", exc_info=True)
try:
await self._sdk.close()
except Exception:
logger.debug("abort: sdk.close failed", exc_info=True)
def __aiter__(self) -> AsyncIterator[Any]:
if self._events_aiter is None:
self._events_aiter = self._sdk.events.__aiter__()
return self._events_aiter
# Note: deliberately no `interleave()` on the async adapter. Local
# `AsyncGraphRunStream` doesn't have one either (async callers compose
# with `asyncio.gather` / `asyncio.as_completed`). The sync adapter
# provides `interleave()` because sync callers have no comparable
# primitive for iterating multiple iterators concurrently.
+1 -57
View File
@@ -37,23 +37,13 @@ from langgraph._internal._constants import (
)
from langgraph._internal._runnable import create_task_in_config_context
from langgraph._internal._timeout import sync_timeout_unsupported
from langgraph.errors import (
GraphBubbleUp,
NodeCancelledError,
NodeTimeoutError,
ParentCommand,
)
from langgraph.errors import GraphBubbleUp, NodeTimeoutError, ParentCommand
from langgraph.pregel.protocol import StreamProtocol
from langgraph.runtime import ExecutionInfo, Runtime
from langgraph.types import Command, PregelExecutableTask, RetryPolicy, TimeoutPolicy
logger = logging.getLogger(__name__)
SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
# `asyncio.Task.cancelling()` was added in Python 3.11. It reports the number of
# pending cancel requests on the task: ``0`` means no external code asked us to
# cancel — so a ``CancelledError`` observed here was raised by the task body
# itself (the user's node) rather than by pregel cancelling sibling tasks.
SUPPORTS_TASK_CANCELLING = sys.version_info >= (3, 11)
def _timeout_secs(value: float | timedelta) -> float:
@@ -312,28 +302,6 @@ class _IdleProgressCallbackHandler(BaseCallbackHandler):
on_custom_event = _touch
def _is_user_raised_cancelled() -> bool:
"""Return True if the in-flight ``CancelledError`` came from the task body.
Pregel cancels sibling tasks via ``task.cancel()`` when a peer fails, which
increments ``asyncio.Task.cancelling()`` on the target before the cancel
actually fires. A user node that calls ``raise asyncio.CancelledError()``
from inside its own body raises while ``cancelling() == 0``, which is the
signal we use to convert the exception into a regular
:class:`NodeCancelledError`.
Returns ``False`` when we can't tell (``cancelling()`` unavailable, or no
current task neither should happen in practice from ``arun_with_retry``)
so framework-initiated cancellation continues to propagate unchanged.
"""
if not SUPPORTS_TASK_CANCELLING:
return False
current = asyncio.current_task()
if current is None:
return False
return current.cancelling() == 0
def _drain_cancelled(task: asyncio.Task[Any]) -> None:
# Mark the abandoned task's exception as retrieved so asyncio doesn't log it.
with suppress(asyncio.CancelledError):
@@ -632,12 +600,6 @@ def run_with_retry(
except GraphBubbleUp:
# if interrupted, end
raise
except asyncio.CancelledError as exc:
# A sync node has no asyncio context, so any ``CancelledError`` that
# reaches here was raised by the node body itself. Surface it as a
# regular exception so the pregel runner panics the run instead of
# treating the task as a silent tear-down (LSD-1507).
raise NodeCancelledError(task.name) from exc
except Exception as exc:
if SUPPORTS_EXC_NOTES:
exc.add_note(f"During task with name '{task.name}' and id '{task.id}'")
@@ -774,24 +736,6 @@ async def arun_with_retry(
# if interrupted, end
_finish_timed_attempt(config, attempt_ctx)
raise
except asyncio.CancelledError as exc:
# ``CancelledError`` reaches us in two very different shapes:
# 1. Pregel cancelled this task because a sibling failed
# (``asyncio.Task.cancelling() >= 1``). The framework already
# knows the run is failing and we must let cancellation
# propagate so the watchdog/cleanup code in the runner sees a
# cancelled future.
# 2. The node body itself raised ``asyncio.CancelledError`` (
# ``cancelling() == 0``). The runner would otherwise treat
# this as silent tear-down and the run would report
# ``success`` even though the node failed (LSD-1507). Convert
# it into :class:`NodeCancelledError` so it follows the same
# path as any other node failure.
if _is_user_raised_cancelled():
_finish_timed_attempt(config, attempt_ctx, exc)
raise NodeCancelledError(task.name) from exc
_finish_timed_attempt(config, attempt_ctx, exc)
raise
except Exception as exc:
_finish_timed_attempt(config, attempt_ctx, exc)
if SUPPORTS_EXC_NOTES:
+3 -26
View File
@@ -6,13 +6,9 @@ from typing import Any
from uuid import UUID
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
EXCLUDED_METADATA_KEYS,
CheckpointMetadata,
PendingWrite,
)
from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite
from langgraph._internal._config import filter_to_user_tags, patch_checkpoint_map
from langgraph._internal._config import patch_checkpoint_map
from langgraph._internal._constants import (
CONF,
CONFIG_KEY_CHECKPOINT_NS,
@@ -44,31 +40,12 @@ def map_debug_tasks(tasks: Iterable[PregelExecutableTask]) -> Iterator[TaskPaylo
if task.config is not None and TAG_HIDDEN in task.config.get("tags", []):
continue
payload: TaskPayload = {
yield {
"id": task.id,
"name": task.name,
"input": task.input,
"triggers": task.triggers,
}
# Forward user-meaningful metadata only — drop langgraph's internal
# framework keys (langgraph_node/step/triggers/path/checkpoint_ns,
# thread_id, ...), which are redundant with the task's own fields and
# namespace. Keys like `lc_agent_name`, `ls_integration`, and any
# user-supplied metadata ride along. Filtered config tags are folded in
# under `tags`, mirroring the messages stream handler. (The comprehension
# also yields a fresh dict, so mutating `md` doesn't touch task.config.)
if task.config is not None:
md = {
k: v
for k, v in (task.config.get("metadata") or {}).items()
if k not in EXCLUDED_METADATA_KEYS
}
filtered_tags = filter_to_user_tags(task.config.get("tags"))
if filtered_tags is not None:
md["tags"] = filtered_tags
if md:
payload["metadata"] = md
yield payload
def is_multiple_channel_write(value: Any) -> bool:
+16 -132
View File
@@ -108,7 +108,6 @@ from langgraph.callbacks import (
get_sync_graph_callback_manager_for_config,
)
from langgraph.channels.base import BaseChannel
from langgraph.channels.delta import DeltaChannel
from langgraph.channels.topic import Topic
from langgraph.config import get_config
from langgraph.constants import END
@@ -130,7 +129,6 @@ from langgraph.pregel._algo import (
from langgraph.pregel._call import identifier
from langgraph.pregel._checkpoint import (
achannels_from_checkpoint,
advance_delta_counters,
channels_from_checkpoint,
copy_checkpoint,
create_checkpoint,
@@ -1998,33 +1996,11 @@ class Pregel(
),
)
# save task writes
has_delta_writes = any(
isinstance(channels.get(c), DeltaChannel)
for task in run_tasks
for c, _ in task.writes
)
should_put_writes = saved is not None or has_delta_writes
if saved is None and has_delta_writes:
# If there is no previous checkpoint, we need to create a stub checkpoint
# so the first delta writes has a parent to anchor under.
# This is the model of DeltaChannel.
stub = empty_checkpoint()
checkpoint_config = checkpointer.put(
patch_configurable(
checkpoint_config, {CONFIG_KEY_CHECKPOINT_ID: None}
),
stub,
{"source": "update", "step": -1, "parents": {}},
{},
)
for task_id, task in zip(run_task_ids, run_tasks):
# channel writes are saved to current checkpoint
channel_writes = [w for w in task.writes if w[0] != PUSH]
if should_put_writes and channel_writes:
if saved and channel_writes:
checkpointer.put_writes(checkpoint_config, channel_writes, task_id)
# apply to checkpoint and save
apply_writes(
checkpoint,
@@ -2033,40 +2009,15 @@ class Pregel(
checkpointer.get_next_version,
self.trigger_to_nodes,
)
# Advance delta-channel snapshot counters for this manual super-
# step so the written checkpoint carries a correct
# `counters_since_delta_snapshot` (mirrors the main loop). Without
# it, the supersteps-based delta history walk can't find the seed.
updated_channel_names = {
c for task in run_tasks for c, _ in task.writes if c != PUSH
}
new_counters, channels_to_snapshot = advance_delta_counters(
channels,
saved.metadata if saved else None,
updated_channel_names,
)
# Keep `updated_channels` at its default (None) — matching the
# historical checkpoint shape here — so resume/trigger semantics
# (e.g. deferred nodes) are unaffected. `get_next_version` /
# `channels_to_snapshot` are no-ops unless a delta channel snapshots.
checkpoint = create_checkpoint(
checkpoint,
channels,
step + 1,
get_next_version=checkpointer.get_next_version,
channels_to_snapshot=channels_to_snapshot,
)
update_metadata: dict[str, Any] = {
"source": "update",
"step": step + 1,
"parents": saved.metadata.get("parents", {}) if saved else {},
}
if non_zero := {k: v for k, v in new_counters.items() if v != (0, 0)}:
update_metadata["counters_since_delta_snapshot"] = non_zero
checkpoint = create_checkpoint(checkpoint, channels, step + 1)
next_config = checkpointer.put(
checkpoint_config,
checkpoint,
update_metadata,
{
"source": "update",
"step": step + 1,
"parents": saved.metadata.get("parents", {}) if saved else {},
},
get_new_channel_versions(
checkpoint_previous_versions, checkpoint["channel_versions"]
),
@@ -2490,31 +2441,10 @@ class Pregel(
),
)
# save task writes
has_delta_writes = any(
isinstance(channels.get(c), DeltaChannel)
for task in run_tasks
for c, _ in task.writes
)
should_put_writes = saved is not None or has_delta_writes
if saved is None and has_delta_writes:
# If there is no previous checkpoint, we need to create a stub checkpoint
# so the first delta writes has a parent to anchor under.
# This is the model of DeltaChannel.
stub = empty_checkpoint()
checkpoint_config = await checkpointer.aput(
patch_configurable(
checkpoint_config, {CONFIG_KEY_CHECKPOINT_ID: None}
),
stub,
{"source": "update", "step": -1, "parents": {}},
{},
)
for task_id, task in zip(run_task_ids, run_tasks):
# channel writes are saved to current checkpoint
channel_writes = [w for w in task.writes if w[0] != PUSH]
if should_put_writes and channel_writes:
if saved and channel_writes:
await checkpointer.aput_writes(
checkpoint_config, channel_writes, task_id
)
@@ -2526,41 +2456,16 @@ class Pregel(
checkpointer.get_next_version,
self.trigger_to_nodes,
)
# Advance delta-channel snapshot counters for this manual super-
# step so the written checkpoint carries a correct
# `counters_since_delta_snapshot` (mirrors the main loop). Without
# it, the supersteps-based delta history walk can't find the seed.
updated_channel_names = {
c for task in run_tasks for c, _ in task.writes if c != PUSH
}
new_counters, channels_to_snapshot = advance_delta_counters(
channels,
saved.metadata if saved else None,
updated_channel_names,
)
# Keep `updated_channels` at its default (None) — matching the
# historical checkpoint shape here — so resume/trigger semantics
# (e.g. deferred nodes) are unaffected. `get_next_version` /
# `channels_to_snapshot` are no-ops unless a delta channel snapshots.
checkpoint = create_checkpoint(
checkpoint,
channels,
step + 1,
get_next_version=checkpointer.get_next_version,
channels_to_snapshot=channels_to_snapshot,
)
update_metadata: dict[str, Any] = {
"source": "update",
"step": step + 1,
"parents": saved.metadata.get("parents", {}) if saved else {},
}
if non_zero := {k: v for k, v in new_counters.items() if v != (0, 0)}:
update_metadata["counters_since_delta_snapshot"] = non_zero
checkpoint = create_checkpoint(checkpoint, channels, step + 1)
# save checkpoint, after applying writes
next_config = await checkpointer.aput(
checkpoint_config,
checkpoint,
update_metadata,
{
"source": "update",
"step": step + 1,
"parents": saved.metadata.get("parents", {}) if saved else {},
},
get_new_channel_versions(
checkpoint_previous_versions, checkpoint["channel_versions"]
),
@@ -2930,9 +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(
@@ -3373,9 +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(
@@ -4352,23 +4253,6 @@ def _resolve_parent_ns(
return tuple(ns.split(NS_SEP))
def _coerce_parent_runtime(value: Any) -> Runtime[Any]:
"""Normalize the value stored under `CONFIG_KEY_RUNTIME` into a `Runtime`.
During a graph run this is always a `Runtime` the framework created and
published for child tasks to inherit. Layers outside the run (for example a
server's graph-factory path) may instead seed an object that only carries
`context`/`store`. Adopt its `context` so context set at the graph level
plumbs through (`merge` lets the run's own `context` take precedence when
one is provided). `store` is resolved separately (passed to the graph
directly), so it is not read off here. `merge` then combines this with the
run's own runtime, including the framework's `control`.
"""
if isinstance(value, Runtime):
return value
return Runtime(context=getattr(value, "context", None))
def _build_server_info(
config: RunnableConfig, parent_runtime: Runtime[Any]
) -> ServerInfo | None:
+9 -126
View File
@@ -55,10 +55,6 @@ from langgraph._internal._constants import (
NS_SEP,
)
from langgraph.errors import GraphInterrupt, ParentCommand
from langgraph.pregel._remote_run_stream import (
_AsyncRemoteGraphRunStream,
_RemoteGraphRunStream,
)
from langgraph.pregel.protocol import PregelProtocol, StreamProtocol
from langgraph.types import (
All,
@@ -84,8 +80,6 @@ _CONF_DROPLIST = frozenset(
),
)
_V3_SUPPORTED_KWARGS = frozenset({"metadata", "headers"})
def _sanitize_config_value(v: Any) -> Any:
"""Recursively sanitize a config value to ensure it contains only primitives."""
@@ -192,34 +186,6 @@ class RemoteGraph(PregelProtocol):
)
return self.sync_client
def _reject_v3_unsupported(
self,
*,
control: Any,
transformers: Any,
interrupt_before: Any,
interrupt_after: Any,
extra_kwargs: dict[str, Any],
) -> None:
"""Raise NotImplementedError for kwargs unsupported by the v3 streaming path."""
for name, value in (
("control", control),
("transformers", transformers),
("interrupt_before", interrupt_before),
("interrupt_after", interrupt_after),
):
if value:
raise NotImplementedError(
f"RemoteGraph.stream_events(version='v3') does not support `{name}=`."
)
unknown = set(extra_kwargs) - _V3_SUPPORTED_KWARGS
if unknown:
raise NotImplementedError(
f"RemoteGraph.stream_events(version='v3') does not support "
f"the following kwargs: {sorted(unknown)!r}. "
f"Supported: {sorted(_V3_SUPPORTED_KWARGS)!r}."
)
def copy(self, update: dict[str, Any]) -> Self:
attrs = {**self.__dict__, **update}
return self.__class__(attrs.pop("assistant_id"), **attrs)
@@ -1030,104 +996,21 @@ class RemoteGraph(PregelProtocol):
else:
yield chunk
def stream_events(
self,
input: Any,
config: RunnableConfig | None = None,
*,
version: Literal["v1", "v2", "v3"] = "v2",
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
control: Any = None,
transformers: Sequence[Any] | None = None,
headers: dict[str, str] | None = None,
**kwargs: Any,
) -> Any:
"""Stream events from this remote graph.
For `version="v3"`, returns a `_RemoteGraphRunStream` whose surface
matches the local `GraphRunStream`. For other versions, delegates to
`Runnable.stream_events`.
"""
if version != "v3":
return super().stream_events(input, config, version=version, **kwargs)
self._reject_v3_unsupported(
control=control,
transformers=transformers,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
extra_kwargs=kwargs,
)
sync_client = self._validate_sync_client()
sanitized = self._sanitize_config(merge_configs(self.config, config))
thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
merged_headers = (
_merge_tracing_headers(headers) if self.distributed_tracing else headers
)
sdk_thread = sync_client.threads.stream(
thread_id=thread_id,
assistant_id=self.assistant_id,
headers=merged_headers,
)
return _RemoteGraphRunStream(
sync_client=sync_client,
sdk_thread=sdk_thread,
input=input,
config=sanitized,
metadata=kwargs.get("metadata"),
)
async def astream_events(
self,
input: Any,
config: RunnableConfig | None = None,
*,
version: Literal["v1", "v2", "v3"] = "v2",
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
control: Any = None,
transformers: Sequence[Any] | None = None,
headers: dict[str, str] | None = None,
version: Literal["v1", "v2"],
include_names: Sequence[All] | None = None,
include_types: Sequence[All] | None = None,
include_tags: Sequence[All] | None = None,
exclude_names: Sequence[All] | None = None,
exclude_types: Sequence[All] | None = None,
exclude_tags: Sequence[All] | None = None,
**kwargs: Any,
) -> Any:
"""Async-stream events from this remote graph.
For `version="v3"`, awaits to an `_AsyncRemoteGraphRunStream`, matching
the local `Pregel.astream_events(version="v3")` awaitable contract:
`async with await rg.astream_events(..., version="v3") as run`. For
`version="v1"`/`"v2"`, raises NotImplementedError (use `astream`).
"""
if version != "v3":
raise NotImplementedError(
f"RemoteGraph.astream_events(version={version!r}) is not "
"implemented; use astream() for v1/v2 streaming or "
"version='v3'."
)
self._reject_v3_unsupported(
control=control,
transformers=transformers,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
extra_kwargs=kwargs,
)
client = self._validate_client()
sanitized = self._sanitize_config(merge_configs(self.config, config))
thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
merged_headers = (
_merge_tracing_headers(headers) if self.distributed_tracing else headers
)
sdk_thread = client.threads.stream(
thread_id=thread_id,
assistant_id=self.assistant_id,
headers=merged_headers,
)
return _AsyncRemoteGraphRunStream(
client=client,
sdk_thread=sdk_thread,
input=input,
config=sanitized,
metadata=kwargs.get("metadata"),
)
) -> AsyncIterator[dict[str, Any]]:
raise NotImplementedError
@overload
def invoke(
+1 -1
View File
@@ -35,7 +35,7 @@ class ProtocolEvent(TypedDict):
"""
type: Literal["event"]
event_id: NotRequired[str] # snake_case to match the langchain-protocol wire field
eventId: NotRequired[str]
seq: NotRequired[int]
method: str # StreamMode value: "values", "messages", "custom", etc.
params: _ProtocolEventParams
+7 -62
View File
@@ -132,23 +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:
@@ -358,8 +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:
@@ -419,25 +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)
@@ -458,40 +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:
+7 -105
View File
@@ -9,7 +9,7 @@ from langchain_core.language_models.chat_model_stream import (
ChatModelStream,
)
from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
from langchain_protocol.protocol import LifecycleCause, MessagesData
from langchain_protocol.protocol import MessagesData
from typing_extensions import NotRequired, TypedDict
from langgraph.errors import GraphDrained, GraphInterrupt
@@ -366,7 +366,6 @@ class LifecyclePayload(TypedDict, total=False):
namespace: list[str]
graph_name: NotRequired[str]
trigger_call_id: NotRequired[str]
cause: NotRequired[LifecycleCause]
error: NotRequired[str]
@@ -407,23 +406,6 @@ class _TasksLifecycleBase(StreamTransformer):
# Maps tracked namespace -> task_id of the parent task whose
# `TaskResultPayload` will close it.
self._open: dict[tuple[str, ...], str] = {}
# lc_agent_name observed at each namespace (first task event wins).
# Not read by the base discriminator (which only checks whether the
# current task carries an lc_agent_name); maintained as extension state
# for subclasses that project named subagents — e.g. a `run.subagents`
# transformer reads this to filter to nested runs that have a name.
self._lc_by_ns: dict[tuple[str, ...], str | None] = {}
# Pregel task_id -> triggering LLM tool_call_id, harvested from a task
# whose `input` is a `tool_call_with_context` dict (current shape) or a
# list of tool-call dicts (legacy shape). The child subgraph's segment
# `node:<task_id>` shares this task_id, so a subagent recovers the tool
# call that spawned it (cross-payload).
self._pending_tool_calls: dict[str, str] = {}
# `cause` for the current `_on_started` dispatch, set immediately before
# the call and read by overrides that surface it. Keeping `cause` off the
# `_on_started` signature means overrides predating it (e.g. deepagents'
# `SubagentTransformer`) don't break.
self._pending_cause: LifecycleCause | None = None
# --- Template-method hooks (subclass overrides) ---
@@ -437,10 +419,7 @@ class _TasksLifecycleBase(StreamTransformer):
graph_name: str | None,
trigger_call_id: str | 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(
@@ -464,84 +443,18 @@ class _TasksLifecycleBase(StreamTransformer):
if "result" in data:
self._handle_task_result(ns, data)
else:
self._record_identity(ns, data)
self._record_pending_tool_calls(data)
self._handle_task_start(ns, data)
self._handle_task_start(ns)
# Tasks events are folded into the synthesized projections;
# suppress from the main event log so iterators don't double-see
# the same information in two shapes.
return False
def _record_identity(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
"""Record this namespace's `lc_agent_name` (first task event wins).
Runs for every task-start event, including `ns == self.scope` and
tracked children. Pregel emits parent-namespace tasks before
child-namespace tasks, so under that ordering the parent's identity is
recorded by the time a child event is evaluated in `_handle_task_start`.
"""
if ns in self._lc_by_ns:
return
metadata = data.get("metadata") or {}
self._lc_by_ns[ns] = metadata.get("lc_agent_name")
def _record_pending_tool_calls(self, data: dict[str, Any]) -> None:
"""Harvest a task's triggering tool_call_id keyed by its task id.
A tool-dispatch task seeds `task_id -> tool_call_id`; the spawned
subgraph's namespace segment `node:<task_id>` shares that id, letting
a subagent recover the tool call that caused it across payloads. Two
input shapes are handled: the current Pregel push model schedules each
tool call as its own task whose `input` is a `tool_call_with_context`
dict, while a legacy / batched model passes a list of tool-call dicts.
"""
task_id = data.get("id")
if not isinstance(task_id, str):
return
payload = data.get("input")
tool_call_id: str | None = None
# Current langgraph schedules each tool call as its own push task
# whose input is a `tool_call_with_context` dict.
if isinstance(payload, dict) and isinstance(payload.get("tool_call"), dict):
candidate = payload["tool_call"].get("id")
if isinstance(candidate, str):
tool_call_id = candidate
# Legacy / batched shape: input is a list of tool-call dicts.
elif isinstance(payload, list):
for tc in payload:
if isinstance(tc, dict) and isinstance(tc.get("id"), str):
tool_call_id = tc["id"] # first wins
break
if tool_call_id is not None:
self._pending_tool_calls[task_id] = tool_call_id
def _handle_task_start(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
def _handle_task_start(self, ns: tuple[str, ...]) -> None:
if not self._should_track(ns) or ns in self._seen:
return
self._seen.add(ns)
parsed_name, trigger_call_id = _parse_ns_segment(ns[-1])
metadata = data.get("metadata") or {}
child_lc = metadata.get("lc_agent_name")
# A subagent boundary is any nested run carrying an lc_agent_name (set
# by create_agent). Unnamed runs (lc_agent_name None) are excluded.
#
# A same-named nested agent — e.g. a subagent that invokes itself — is
# surfaced because it re-asserts its own lc_agent_name. The trade-off:
# a non-agent subgraph invoked inside a tool inherits the parent's
# lc_agent_name and will also surface (named after the parent). A caller
# that needs to exclude such a graph can null lc_agent_name in the
# config it invokes that graph with.
is_subagent = child_lc is not None
graph_name = child_lc if is_subagent else (parsed_name or None)
cause: LifecycleCause | None = None
if is_subagent and trigger_call_id is not None:
tool_call_id = self._pending_tool_calls.get(trigger_call_id)
if tool_call_id:
cause = {"type": "toolCall", "tool_call_id": str(tool_call_id)}
# Deliver `cause` via instance state, not the call signature, so
# `_on_started` stays backward-compatible with overrides predating it.
self._pending_cause = cause
self._on_started(ns, graph_name, trigger_call_id)
graph_name, trigger_call_id = _parse_ns_segment(ns[-1])
self._on_started(ns, graph_name or None, trigger_call_id)
if trigger_call_id is not None:
self._open[ns] = trigger_call_id
@@ -650,9 +563,6 @@ 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)
def _on_terminal(
@@ -723,9 +633,6 @@ class SubgraphTransformer(_TasksLifecycleBase):
except RuntimeError:
return
handle_cls = AsyncSubgraphRunStream if child_mux.is_async else SubgraphRunStream
# The triggering `cause` (on `self._pending_cause`) is a wire/lifecycle
# concern carried on `LifecyclePayload`; the in-process subgraph
# navigation handle does not expose it.
handle = handle_cls(
mux=child_mux,
path=ns,
@@ -830,12 +737,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
for child_ns, status, error in self._pop_terminal_transitions(ns, data):
await self._aon_terminal(child_ns, status, error)
else:
# Mirror the sync `process` bookkeeping so the async lane
# observes parent identity / tool calls before discriminating
# a subagent boundary.
self._record_identity(ns, data)
self._record_pending_tool_calls(data)
self._handle_task_start(ns, data)
self._handle_task_start(ns)
keep = False
else:
keep = True
+1 -11
View File
@@ -32,7 +32,7 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10, LangGraphDeprecatedS
# Local TypeVars for generic stream TypedDicts.
# We use separate TypeVars here (rather than importing from langgraph.typing)
# because the typing module TypeVars have defaults that cause type checker issues
# because the typing module TypeVars have defaults that cause mypy issues
# when used in standalone type aliases.
StateT = TypeVar("StateT")
OutputT = TypeVar("OutputT")
@@ -150,16 +150,6 @@ class TaskPayload(TypedDict):
"""Input data passed to the task."""
triggers: list[str]
"""List of triggers that caused this task to be executed (e.g. channel writes)."""
metadata: NotRequired[dict[str, Any]]
"""Framework-resolved metadata associated with the task.
Generic dict carrier following the messages-stream pattern. Populated by
`map_debug_tasks` from `task.config["metadata"]` when non-empty, so the
same keys `stream_mode="messages"` consumers see (e.g. `lc_agent_name`,
`langgraph_node`, `langgraph_step`) are available to stream transformers.
Consumers should ignore unrecognized keys.
"""
class TaskResultPayload(TypedDict):
+13 -22
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.6"
version = "1.2.2"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
@@ -24,9 +24,9 @@ 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-sdk>=0.3.0,<0.4.0",
"langgraph-prebuilt>=1.1.0,<1.2.0",
"xxhash>=3.5.0",
"pydantic>=2.7.4",
@@ -69,8 +69,8 @@ test = [
"redis",
]
lint = [
"mypy",
"ruff",
"ty",
"types-requests",
]
dev = [
@@ -99,24 +99,15 @@ target-version = "py310"
[tool.ruff.lint.flake8-tidy-imports.banned-api]
"typing.TypedDict".msg = "Use typing_extensions.TypedDict instead."
[tool.ty.rules]
call-non-callable = "ignore"
deprecated = "ignore"
invalid-argument-type = "ignore"
invalid-assignment = "ignore"
invalid-key = "ignore"
invalid-method-override = "ignore"
invalid-paramspec = "ignore"
invalid-return-type = "ignore"
invalid-type-form = "ignore"
invalid-yield = "ignore"
missing-typed-dict-key = "ignore"
no-matching-overload = "ignore"
not-iterable = "ignore"
unused-type-ignore-comment = "ignore"
unresolved-attribute = "ignore"
unsupported-base = "ignore"
unsupported-operator = "ignore"
[tool.mypy]
# https://mypy.readthedocs.io/en/stable/config_file.html
disallow_untyped_defs = "True"
explicit_package_bases = "True"
warn_no_return = "False"
warn_unused_ignores = "True"
warn_redundant_casts = "True"
allow_redefinition = "True"
disable_error_code = "typeddict-item, return-value, override, has-type"
[tool.coverage.run]
omit = ["tests/*"]
+1 -98
View File
@@ -1,8 +1,7 @@
import pytest
from langchain_core.callbacks import AsyncCallbackManager, BaseCallbackHandler
from langchain_core.callbacks import AsyncCallbackManager
from langgraph._internal._config import get_async_callback_manager_for_config
from langgraph.graph import StateGraph
pytestmark = pytest.mark.anyio
@@ -18,99 +17,3 @@ def test_new_async_manager_merges_tags_with_config() -> None:
config = {"callbacks": None, "tags": ["a"]}
manager = get_async_callback_manager_for_config(config, tags=["b"])
assert manager.inheritable_tags == ["a", "b"]
class _TrackingCallback(BaseCallbackHandler):
def __init__(self) -> None:
self.called = False
def on_chain_start(self, *args, **kwargs) -> None: # noqa: ANN002, ANN003
self.called = True
async def test_with_config_callbacks_preserved_in_astream_events() -> None:
"""A callback bound via .with_config(...) must survive when
astream_events injects its own internal callback handler.
Pre-fix: ensure_config overwrites the callbacks key, dropping the
bound handler. Post-fix: the handler list is merged.
"""
builder = StateGraph(dict)
builder.add_node("node", lambda state: state)
builder.add_edge("__start__", "node")
cb = _TrackingCallback()
graph = builder.compile().with_config({"callbacks": [cb]})
async for _ in graph.astream_events({}, version="v2"):
pass
assert cb.called, "user-bound callback was dropped by ensure_config overwrite"
async def test_with_config_configurable_preserved_on_invoke() -> None:
"""A configurable key bound via .with_config(...) must survive when
invoke-time config supplies a different configurable key.
Pre-fix: ensure_config overwrites the entire configurable dict.
Post-fix: the two dicts are shallow-merged per key.
"""
builder = StateGraph(dict)
captured: dict = {}
def node(state, config): # noqa: ANN001
captured.update(config.get("configurable") or {})
return state
builder.add_node("node", node)
builder.add_edge("__start__", "node")
graph = builder.compile().with_config({"configurable": {"ls_agent_type": "root"}})
await graph.ainvoke({}, {"configurable": {"thread_id": "T1"}})
assert captured.get("ls_agent_type") == "root", (
"bound configurable key was dropped by ensure_config overwrite"
)
assert captured.get("thread_id") == "T1", "invoke-time key not present"
async def test_with_config_metadata_preserved_on_invoke() -> None:
"""A metadata key bound via .with_config(...) must survive when
invoke-time config supplies a different metadata key.
Pre-fix: ensure_config overwrites the entire metadata dict.
Post-fix: the two dicts are shallow-merged per key.
"""
builder = StateGraph(dict)
captured: dict = {}
def node(state, config): # noqa: ANN001
captured.update(config.get("metadata") or {})
return state
builder.add_node("node", node)
builder.add_edge("__start__", "node")
graph = builder.compile().with_config({"metadata": {"user_id": "U1"}})
await graph.ainvoke({}, {"metadata": {"correlation_id": "C1"}})
assert captured.get("user_id") == "U1", (
"bound metadata key was dropped by ensure_config overwrite"
)
assert captured.get("correlation_id") == "C1", "invoke-time key not present"
async def test_with_config_tags_preserved_on_invoke() -> None:
"""Tags bound via .with_config(...) must survive when invoke-time
config supplies its own tags.
Pre-fix: ensure_config overwrites the entire tags list.
Post-fix: tags are concatenated (matching merge_configs behavior;
no deduplication, no sorting).
"""
builder = StateGraph(dict)
captured: list = []
def node(state, config): # noqa: ANN001
captured.extend(config.get("tags") or [])
return state
builder.add_node("node", node)
builder.add_edge("__start__", "node")
graph = builder.compile().with_config({"tags": ["bound"]})
await graph.ainvoke({}, {"tags": ["invoke"]})
assert "bound" in captured, "bound tag was dropped by ensure_config overwrite"
assert "invoke" in captured, "invoke-time tag not present"
@@ -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,
*,
@@ -1,294 +0,0 @@
"""Tests for `update_state` / `aupdate_state` against `DeltaChannel`.
Originally a regression suite for deepagents#3774 — `update_state` on a *fresh*
thread silently dropped the first write to a `DeltaChannel`-backed channel
because channel writes were only persisted when a previous checkpoint existed.
Fixed by lazily persisting an empty stub checkpoint on a fresh thread so the
first write has a parent to anchor under (mirrors the exit-mode lazy-stub
pattern in `_loop._put_exit_delta_writes`).
Coverage:
* fresh-thread regression: single `update_state` writes a message and reads back
* non-fresh thread: `update_state` after `invoke`, after another `update_state`,
and `bulk_update_state` with multiple per-superstep updates
* update-by-id end-to-end via `update_state` (DeltaChannel reducer semantics)
* state-history chain shape on a fresh thread (lazy stub + update checkpoint
with correct parent linking)
"""
from typing import Annotated, Any
import pytest
from langchain_core.messages import HumanMessage
from langgraph.checkpoint.memory import InMemorySaver
from typing_extensions import TypedDict
from langgraph.channels.delta import DeltaChannel
from langgraph.graph import START, StateGraph
from langgraph.graph.message import _messages_delta_reducer
pytestmark = pytest.mark.anyio
def _build_graph(checkpointer: InMemorySaver, *, two_nodes: bool = False) -> Any:
"""Compile a minimal DeltaChannel-backed `messages` graph.
`two_nodes=True` adds a second writer node so `bulk_update_state` can route
distinct updates to different `as_node` values within a single superstep.
"""
channel = DeltaChannel(_messages_delta_reducer)
State = TypedDict("State", {"messages": Annotated[list, channel]}) # type: ignore[call-overload] # noqa: UP013
def model(state: dict) -> dict:
return {}
def assistant(state: dict) -> dict:
return {}
builder = StateGraph(State)
builder.add_node("model", model)
builder.add_edge(START, "model")
if two_nodes:
builder.add_node("assistant", assistant)
builder.add_edge("model", "assistant")
builder.set_finish_point("assistant")
else:
builder.set_finish_point("model")
return builder.compile(checkpointer=checkpointer)
# ---------------------------------------------------------------------------
# Fresh-thread regression (deepagents#3774)
# ---------------------------------------------------------------------------
def test_update_state_fresh_thread_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "fresh-sync"}}
message = HumanMessage(content="hello", id="m1")
graph.update_state(config, {"messages": [message]}, as_node="model")
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["hello"]
async def test_aupdate_state_fresh_thread_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "fresh-async"}}
message = HumanMessage(content="hello", id="m1")
await graph.aupdate_state(config, {"messages": [message]}, as_node="model")
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["hello"]
# ---------------------------------------------------------------------------
# Non-fresh thread: update_state after invoke
# ---------------------------------------------------------------------------
def test_update_state_after_invoke_delta_channel() -> None:
"""The non-fresh-thread path was already working before the fix; pin it
down so the lazy-stub change for fresh threads doesn't regress it."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "after-invoke-sync"}}
graph.invoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
graph.update_state(
config,
{"messages": [HumanMessage(content="appended", id="m2")]},
as_node="model",
)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
async def test_aupdate_state_after_invoke_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "after-invoke-async"}}
await graph.ainvoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="appended", id="m2")]},
as_node="model",
)
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
# ---------------------------------------------------------------------------
# Non-fresh thread: consecutive update_state calls
# ---------------------------------------------------------------------------
def test_consecutive_update_states_delta_channel() -> None:
"""First update_state lazily persists a stub; the second sees a real
parent (`saved is not None`) and takes the original write path. Both
messages must round-trip in chronological order."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "consecutive-sync"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
)
graph.update_state(
config,
{"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
)
state = graph.get_state(config)
assert [m.content for m in state.values["messages"]] == ["first", "second"]
assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
async def test_aconsecutive_update_states_delta_channel() -> None:
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "consecutive-async"}}
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
)
await graph.aupdate_state(
config,
{"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
)
state = await graph.aget_state(config)
assert [m.content for m in state.values["messages"]] == ["first", "second"]
# ---------------------------------------------------------------------------
# Update-by-id semantics through the update_state path
# ---------------------------------------------------------------------------
def test_update_state_replaces_message_by_id_delta_channel() -> None:
"""`_messages_delta_reducer` dedups by `id` — re-issuing a write with the
same id replaces the existing entry rather than appending. Verify this
works through the `update_state` path (not just `invoke`)."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "update-by-id"}}
graph.invoke({"messages": [HumanMessage(content="original", id="h1")]}, config)
graph.update_state(
config,
{"messages": [HumanMessage(content="updated", id="h1")]},
as_node="model",
)
state = graph.get_state(config)
msgs = state.values["messages"]
assert len(msgs) == 1
assert msgs[0].id == "h1"
assert msgs[0].content == "updated"
# ---------------------------------------------------------------------------
# bulk_update_state with multiple updates per superstep
# ---------------------------------------------------------------------------
def test_bulk_update_state_multi_task_per_superstep_delta_channel() -> None:
"""`bulk_update_state` with N updates in one superstep produces N tasks
that each call `put_writes`. Guards the regression where moving
`put_writes` outside the per-task loop would persist only the last
task's writes.
Explicit `task_id`s are required to disambiguate writes belonging to
different `StateUpdate`s targeting the same node otherwise both share
the deterministic interrupt-derived id and collide in the saver.
"""
from langgraph.types import StateUpdate
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "bulk-multi-task"}}
graph.bulk_update_state(
config,
[
[
StateUpdate(
values={"messages": [HumanMessage(content="first", id="m1")]},
as_node="model",
task_id="task-1",
),
StateUpdate(
values={"messages": [HumanMessage(content="second", id="m2")]},
as_node="model",
task_id="task-2",
),
]
],
)
state = graph.get_state(config)
contents = [m.content for m in state.values["messages"]]
ids = [m.id for m in state.values["messages"]]
assert sorted(contents) == ["first", "second"], (
f"both updates' writes must persist; got {contents}"
)
assert sorted(ids) == ["m1", "m2"]
# ---------------------------------------------------------------------------
# Public-API observation of the lazy-stub mechanism
# ---------------------------------------------------------------------------
def test_state_history_chain_after_fresh_update_state_delta_channel() -> None:
"""A fresh-thread `update_state` should produce two checkpoints visible
via `get_state_history`: a stub (step=-1, no parent) and the update
(step=0, parent=stub). Both attributed `source='update'`."""
saver = InMemorySaver()
graph = _build_graph(saver)
config = {"configurable": {"thread_id": "history-chain"}}
graph.update_state(
config,
{"messages": [HumanMessage(content="hello", id="m1")]},
as_node="model",
)
# Newest first per `get_state_history` ordering.
history = list(graph.get_state_history(config))
assert len(history) == 2
update_snapshot, stub_snapshot = history
assert update_snapshot.metadata is not None
assert update_snapshot.metadata["source"] == "update"
assert update_snapshot.metadata["step"] == 0
assert [m.content for m in update_snapshot.values["messages"]] == ["hello"]
assert stub_snapshot.metadata is not None
assert stub_snapshot.metadata["source"] == "update"
assert stub_snapshot.metadata["step"] == -1
assert stub_snapshot.parent_config is None
# The update checkpoint's parent is the stub.
assert update_snapshot.parent_config is not None
assert (
update_snapshot.parent_config["configurable"]["checkpoint_id"]
== stub_snapshot.config["configurable"]["checkpoint_id"]
)
-7
View File
@@ -9,7 +9,6 @@ import pytest
from langchain_core.messages import AIMessage, AnyMessage, ToolCall
from langchain_core.runnables import RunnableConfig, RunnableMap, RunnablePick
from langchain_core.tools import tool
from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.prebuilt.chat_agent_executor import create_react_agent
@@ -1400,7 +1399,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
(
@@ -1463,7 +1461,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -1516,7 +1513,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
"ls_provider": "fakechatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]
@@ -6888,7 +6884,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -6916,7 +6911,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
),
@@ -6953,7 +6947,6 @@ def test_weather_subgraph(
"ls_provider": "fakemessageslistchatmodel",
"ls_model_type": "chat",
"ls_integration": "langchain_chat_model",
"lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
},
),
]

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