release(cli): 0.4.18 (#7186)

Cleaning up CI for #6701 
```md
  I'm trying to help a customer with some issues related to their checkpointing in postgres. They have some timeouts and retries around the langgraph checkpoint queries and I suspect the queue may be filling up with cancelled tasks.
  
  This PR adds some eager checks to not execute an operation if the future was already cancelled.
  This is to prevent the queue executing tasks that might have already timed out, which would otherwise cause more tasks to timeout due to the longer execution delay.
  
  Thank you for contributing to LangGraph! Follow these steps to mark your pull request as ready for review. **If any of these steps are not completed, your PR will not be considered for review.**
```

Co-authored-by: Conrad Ludgate <conradludgate@gmail.com>

.github/CONTRIBUTING.md

@@ -1,6 +0,0 @@
-# Contributing to LangGraph
-
-Hi there! Thank you for even being interested in contributing to LangGraph.
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether they involve new features, improved infrastructure, better documentation, or bug fixes.
-
-To learn how to contribute to LangGraph, please follow the [contribution guide here](https://docs.langchain.com/oss/python/contributing).

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,43 +1,60 @@
 name: "\U0001F41B Bug Report"
-description: Report a bug in LangGraph. To report a security issue, please instead use the security option below. For questions, please use the LangChain Forum at forum.langchain.com.
-labels: [pending, bug]
+description: Report a bug in LangGraph. To report a security issue, please instead use the security option (below). For questions, please use the LangChain forum (below).
+labels: ["bug"]
+type: bug
 body:
   - type: markdown
     attributes:
       value: |
-        Thank you for taking the time to file a bug report. 
+        Thank you for taking the time to file a bug report.
 
-        Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
+        For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
 
-        Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
-        if there's another way to solve your problem:
+        Check these before submitting to see if your issue has already been reported, fixed or if there's another way to solve your problem:
 
-        * [LangChain Forum](https://forum.langchain.com/),
-        * [LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
-        * [LangChain documentation with the integrated search](https://docs.langchain.com/),
+        * [Documentation](https://docs.langchain.com/oss/python/langgraph/overview),
+        * [API Reference Documentation](https://reference.langchain.com/python/),
+        * [LangChain ChatBot](https://chat.langchain.com/)
         * [GitHub search](https://github.com/langchain-ai/langgraph),
+        * [LangChain Forum](https://forum.langchain.com/),
   - type: checkboxes
     id: checks
     attributes:
       label: Checked other resources
-      description: Before submitting this issue, please confirm that you have completed all the steps below by checking each option. These steps help ensure your issue is well-defined, relevant, and actionable.
+      description: Please confirm and check all the following options.
       options:
-        - label: This is a bug, not a usage question. For questions, please use the LangChain Forum (https://forum.langchain.com/).
+        - label: This is a bug, not a usage question.
           required: true
-        - label: I added a clear and detailed title that summarizes the issue.
+        - label: I added a clear and descriptive title that summarizes this issue.
           required: true
-        - label: I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example).
+        - label: I used the GitHub search to find a similar question and didn't find it.
           required: true
-        - label: I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue.
+        - label: I am sure that this is a bug in LangGraph rather than my code.
+          required: true
+        - label: The bug is not resolved by updating to the latest stable version of LangGraph (or the specific integration package).
+          required: true
+        - label: This is not related to the langchain-community package.
+          required: true
+        - label: I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.
           required: true
   - type: textarea
     id: reproduction
     validations:
       required: true
     attributes:
-      label: Example Code
+      label: Reproduction Steps / Example Code (Python)
       description: |
-        Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case. Replace this code with your own!
+        Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
+
+        If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
+
+        **Important!**
+
+        * Avoid screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
+        * Reduce your code to the minimum required to reproduce the issue if possible.
+
+        (This will be automatically formatted into code, so no need for backticks.)
+      render: python
       placeholder: |
         from langgraph.graph import StateGraph
 
@@ -46,17 +63,13 @@ body:
           
         chain = StateGraph(list)
         chain.invoke('Hello!')
-      render: python
   - type: textarea
-    id: error
-    validations:
-      required: false
     attributes:
       label: Error Message and Stack Trace (if applicable)
       description: |
-        If you are reporting an error, please include the full error message and stack trace.
-      placeholder: |
-        Exception + full stack trace
+        If you are reporting an error, please copy and paste the full error message and
+        stack trace.
+        (This will be automatically formatted into code, so no need for backticks.)
       render: shell
   - type: textarea
     id: description
@@ -77,7 +90,18 @@ body:
     attributes:
       label: System Info
       description: |
-        Run on your machine: `python -m langchain_core.sys_info`
+        Please share your system info with us.
+
+        Run the following command in your terminal and paste the output here:
+
+        `python -m langchain_core.sys_info`
+
+        or if you have an existing python interpreter running:
+
+        ```python
+        from langchain_core import sys_info
+        sys_info.print_sys_info()
+        ```
       placeholder: |
         python -m langchain_core.sys_info
     validations:

.github/ISSUE_TEMPLATE/config.yml

@@ -1,9 +1,15 @@
 blank_issues_enabled: false
 version: 2.1
 contact_links:
-  - name: Documentation
-    url: https://github.com/langchain-ai/docs/issues/new?template=langgraph.yml
-    about: Report an issue related to the LangGraph documentation
-  - name: LangChain Forum
+  - name: 💬 LangChain Forum
     url:  https://forum.langchain.com/
     about: General community discussions and support
+  - name: 📚 LangGraph Documentation
+    url: https://docs.langchain.com/oss/python/langgraph/overview
+    about: View the official LangGraph documentation
+  - name: 📚 API Reference Documentation
+    url: https://reference.langchain.com/python/
+    about: View the official LangGraph API reference documentation
+  - name: 📚 Documentation issue
+    url: https://github.com/langchain-ai/docs/issues/new?template=02-langgraph.yml
+    about: Report an issue related to the LangGraph documentation

.github/PULL_REQUEST_TEMPLATE.md

@@ -21,7 +21,7 @@ Thank you for contributing to LangGraph! Follow these steps to mark your pull re
   1. A test for the integration, preferably unit tests that do not rely on network access,
   2. An example notebook showing its use. It lives in `docs/docs/integrations` directory.
 
-- [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. We will not consider a PR unless these three are passing in CI. See [contribution guidelines](https://github.com/langchain-ai/langgraph/blob/main/CONTRIBUTING.md) for more.
+- [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. We will not consider a PR unless these three are passing in CI. See [contribution guidelines](https://docs.langchain.com/oss/python/contributing/overview) for more.
 
 Additional guidelines:
 

.github/dependabot.yml

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     schedule:
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+      day: "monday"
+    groups:
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-    directories:
-      - "libs/checkpoint"
-      - "libs/checkpoint-postgres"
-      - "libs/checkpoint-sqlite"
-      - "libs/cli"
-      - "libs/langgraph"
-      - "libs/prebuilt"
-      - "libs/sdk-py"
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+
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+    directory: "/libs/sdk-py"
+    schedule:
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+    schedule:
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+    groups:
+      all-dependencies:
+        patterns:
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+
+  - package-ecosystem: "npm"
+    directory: "/libs/cli/js-monorepo-example"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"

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+</svg>

.github/scripts/run_langgraph_cli_test.py

@@ -63,7 +63,7 @@ def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
             try:
                 sys.stderr.write("\n== docker compose ps ==\n")
                 runner.run(
-                    subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=False)
+                    subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=True)
                 )
             except Exception:
                 pass
@@ -76,7 +76,7 @@ def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
                         "logs",
                         "langgraph-api",
                         input=stdin,
-                        verbose=False,
+                        verbose=True,
                     )
                 )
             except Exception:

.github/workflows/_integration_test.yml

@@ -2,6 +2,9 @@ name: CLI integration test
 
 on:
   workflow_call:
+    secrets:
+      LANGSMITH_API_KEY:
+        required: false
 
 permissions:
   contents: read
@@ -28,6 +31,8 @@ jobs:
             workdir: libs/cli/examples/graphs_reqs_b
             tag: langgraph-test-d
     name: "CLI integration test"
+    env:
+      HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
     defaults:
       run:
         working-directory: libs/cli
@@ -35,11 +40,12 @@ jobs:
       - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
+        if: github.event_name != 'workflow_dispatch'
         uses: Ana06/get-changed-files@v2.3.0
         with:
           filter: "libs/cli/**"
       - name: Set up Python ${{ matrix.python-version }}
-        if: steps.changed-files.outputs.all
+        if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
         uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
@@ -47,57 +53,72 @@ jobs:
           cache-suffix: "cli-integration-test"
           ignore-nothing-to-cache: true
       - name: Install cli globally
-        if: steps.changed-files.outputs.all
+        if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
         run: pip install -e .
-      - name: Build and test service ${{ matrix.example.name }}
-        if: steps.changed-files.outputs.all
+      - name: Build service ${{ matrix.example.name }}
+        if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
+        working-directory: ${{ matrix.example.workdir }}
+        run: |
+          langgraph build -t ${{ matrix.example.tag }}
+      - name: Test service ${{ matrix.example.name }}
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&env.HAS_LANGSMITH_API_KEY == 'true' }}
         working-directory: ${{ matrix.example.workdir }}
         env:
           LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          # Build the image for this example
-          langgraph build -t ${{ matrix.example.tag }}
           # Prepare environment file from local or parent example directory
           if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env && cp ../.env.example ../.env; fi
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi; fi
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi
           # Run the integration test using the built tag
-          # Compute repo root to reference the shared script robustly
           REPO_ROOT=$(git rev-parse --show-toplevel)
           timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}
 
       - name: Build JS service
-        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
         working-directory: libs/cli/js-examples
         run: |
           langgraph build -t langgraph-test-e
 
       - name: Build JS monorepo service
-        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
         working-directory: libs/cli/js-monorepo-example
         run: |
           langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
 
       - name: Build Python monorepo service
-        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
         working-directory: libs/cli/python-monorepo-example
         run: |
           langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
+      - name: Test Python monorepo service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/python-monorepo-example
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
           cp apps/agent/.env.example apps/agent/.env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env; fi
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env
           timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
 
-      - name: Build and test prerelease reqs service
-        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
+      - name: Build prerelease reqs service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
         working-directory: libs/cli/examples/graph_prerelease_reqs
         run: |
           langgraph build -t langgraph-test-h
+      - name: Test prerelease reqs service
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
+        working-directory: libs/cli/examples/graph_prerelease_reqs
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: |
           cp ../.env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
+          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
           echo "Finished starting up langgraph-test-h"
           LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
-          if [ "$LANGGRAPH_VERSION" != "1.0.2" ]; then
-            echo "LANGGRAPH_VERSION != 1.0.2; $LANGGRAPH_VERSION"
+          if [ "$LANGGRAPH_VERSION" != "1.0.8" ]; then
+            echo "LANGGRAPH_VERSION != 1.0.8; $LANGGRAPH_VERSION"
             exit 1
           fi
           LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
@@ -112,7 +133,7 @@ jobs:
           fi
 
       - name: Build and test prerelease reqs fail service
-        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
+        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
         working-directory: libs/cli/examples/graph_prerelease_reqs_fail
         run: |
           langgraph build -t langgraph-test-i || [ $? -eq 1 ]

.github/workflows/_lint.yml

@@ -34,11 +34,12 @@ jobs:
       - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
+        if: github.event_name != 'workflow_dispatch'
         uses: Ana06/get-changed-files@v2.3.0
         with:
           filter: "${{ inputs.working-directory }}/**"
       - name: Set up Python ${{ matrix.python-version }}
-        if: steps.changed-files.outputs.all
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
@@ -46,12 +47,12 @@ jobs:
           cache-suffix: lint-${{ inputs.working-directory }}
 
       - name: Install dependencies
-        if: steps.changed-files.outputs.all
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         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
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         uses: actions/cache@v5
         env:
           SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -61,7 +62,7 @@ jobs:
           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
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         working-directory: ${{ inputs.working-directory }}
         run: |
           if make lint_package > /dev/null 2>&1; then
@@ -72,12 +73,12 @@ jobs:
           fi
 
       - name: Install test dependencies
-        if: steps.changed-files.outputs.all
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         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
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         uses: actions/cache@v5
         env:
           SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -87,7 +88,7 @@ jobs:
           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
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         working-directory: ${{ inputs.working-directory }}
         run: |
           if make lint_tests > /dev/null 2>&1; then

.github/workflows/_test.yml

@@ -33,7 +33,7 @@ jobs:
           enable-cache: true
           cache-suffix: test-${{ inputs.working-directory }}
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_langgraph.yml

@@ -31,7 +31,7 @@ jobs:
           enable-cache: true
           cache-suffix: "test-langgraph"
       - name: Login to Docker Hub
-        uses: docker/login-action@v3
+        uses: docker/login-action@v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
@@ -45,6 +45,13 @@ jobs:
         shell: bash
         run: make test_parallel
 
+      - name: Run strict msgpack pregel tests
+        if: ${{ matrix.python-version == '3.13' }}
+        shell: bash
+        env:
+          LANGGRAPH_STRICT_MSGPACK: "true"
+        run: make test TEST="tests/test_pregel.py tests/test_pregel_async.py"
+
       - name: Ensure the tests did not create any additional files
         shell: bash
         run: |

.github/workflows/_test_release.yml

@@ -48,7 +48,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@v6
+        uses: actions/upload-artifact@v7
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/
@@ -76,7 +76,7 @@ jobs:
     steps:
       - uses: actions/checkout@v6
 
-      - uses: actions/download-artifact@v7
+      - uses: actions/download-artifact@v8
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/

.github/workflows/ci.yml

@@ -2,10 +2,12 @@
 name: CI
 
 on:
+  workflow_dispatch:
   push:
     branches:
       - main
   pull_request:
+  
 
 permissions:
   contents: read
@@ -24,11 +26,12 @@ jobs:
   changes:
     runs-on: ubuntu-latest
     outputs:
-      python: ${{ steps.filter.outputs.python }}
-      deps: ${{ steps.filter.outputs.deps }}
+      python: ${{ steps.filter.outputs.python || 'true' }}
+      deps: ${{ steps.filter.outputs.deps || 'true' }}
     steps:
       - uses: actions/checkout@v6
       - uses: dorny/paths-filter@v3
+        if: github.event_name != 'workflow_dispatch'
         id: filter
         with:
           filters: |
@@ -39,6 +42,7 @@ jobs:
               - 'libs/checkpoint/**'
               - 'libs/checkpoint-sqlite/**'
               - 'libs/checkpoint-postgres/**'
+              - 'libs/checkpoint-conformance/**'
               - 'libs/prebuilt/**'
             deps:
               - '**/pyproject.toml'
@@ -57,7 +61,7 @@ jobs:
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
-
+            "libs/checkpoint-conformance",
             "libs/prebuilt",
           ]
     if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
@@ -77,6 +81,7 @@ jobs:
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
+            "libs/checkpoint-conformance",
             "libs/prebuilt",
             "libs/sdk-py",
           ]

.github/workflows/deploy-redirects.yml

@@ -0,0 +1,49 @@
+name: Deploy Redirects to GitHub Pages
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'docs/**'
+      - '.github/workflows/deploy-redirects.yml'
+  workflow_dispatch:
+
+permissions:
+  contents: read
+  pages: write
+  id-token: write
+
+concurrency:
+  group: "pages"
+  cancel-in-progress: false
+
+jobs:
+  deploy:
+    environment:
+      name: github-pages
+      url: ${{ steps.deployment.outputs.page_url }}
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Setup Python
+        uses: actions/setup-python@v6
+        with:
+          python-version: '3.11'
+
+      - name: Generate redirect files
+        run: python docs/generate_redirects.py
+
+      - name: Setup Pages
+        uses: actions/configure-pages@v5
+
+      - name: Upload artifact
+        uses: actions/upload-pages-artifact@v4
+        with:
+          path: 'docs/_site'
+
+      - name: Deploy to GitHub Pages
+        id: deployment
+        uses: actions/deploy-pages@v4

.github/workflows/release.yml

@@ -50,7 +50,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@v6
+        uses: actions/upload-artifact@v7
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -269,7 +269,7 @@ jobs:
           enable-cache: true
           cache-suffix: "release"
 
-      - uses: actions/download-artifact@v7
+      - uses: actions/download-artifact@v8
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -310,7 +310,7 @@ jobs:
           enable-cache: true
           cache-suffix: "release"
 
-      - uses: actions/download-artifact@v7
+      - uses: actions/download-artifact@v8
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/

AGENTS.md

@@ -53,3 +53,5 @@ sdk-js (standalone)
 ```
 
 Changes to a library may impact all of its dependents shown above.
+
+- Do NOT use Sphinx-style double backtick formatting (` ``code`` `). Use single backticks (`` `code` ``) for inline code references in docstrings and comments.

CLAUDE.md

@@ -53,3 +53,5 @@ sdk-js (standalone)
 ```
 
 Changes to a library may impact all of its dependents shown above.
+
+- Do NOT use Sphinx-style double backtick formatting (` ``code`` `). Use single backticks (`` `code` ``) for inline code references in docstrings and comments.

README.md

@@ -1,7 +1,7 @@
 <picture class="github-only">
-  <source media="(prefers-color-scheme: light)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg">
-  <source media="(prefers-color-scheme: dark)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_light.svg">
-  <img alt="LangGraph Logo" src="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg" width="80%">
+  <source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
+  <source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
+  <img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
 </picture>
 
 <div>
@@ -56,6 +56,9 @@ Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/pytho
 
 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).
 
+> [!TIP]
+> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
+
 ## 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:
@@ -79,7 +82,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 
 ## 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.).
+- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): 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.

docs/.gitignore

@@ -0,0 +1 @@
+_site/

docs/generate_redirects.py

@@ -0,0 +1,142 @@
+#!/usr/bin/env python3
+"""
+Generate HTML redirect files from redirects.json.
+
+Usage:
+    python generate_redirects.py
+
+This script reads redirects.json and generates individual HTML files
+for each redirect path. Each HTML file uses meta refresh (0 delay)
+which is SEO-friendly and treated similarly to 301 redirects by Google.
+
+To add new redirects, simply edit redirects.json and re-run this script.
+"""
+
+import json
+import os
+from pathlib import Path
+
+# Default fallback URL for any path not in the redirect map
+DEFAULT_REDIRECT = "https://docs.langchain.com/oss/python/langgraph/overview"
+
+HTML_TEMPLATE = """<!doctype html>
+<html lang="en">
+<head>
+    <meta charset="utf-8">
+    <title>Redirecting...</title>
+    <link rel="canonical" href="{url}">
+    <meta name="robots" content="noindex">
+    <script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
+    <meta http-equiv="refresh" content="0; url={url}">
+</head>
+<body>
+Redirecting...
+</body>
+</html>
+"""
+
+ROOT_HTML_TEMPLATE = """<!doctype html>
+<html lang="en">
+<head>
+    <meta charset="utf-8">
+    <title>Redirecting to LangGraph Documentation</title>
+    <link rel="canonical" href="{url}">
+    <meta name="robots" content="noindex">
+    <script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
+    <meta http-equiv="refresh" content="0; url={url}">
+</head>
+<body>
+<h1>Documentation has moved</h1>
+<p>The LangGraph documentation has moved to <a href="{url}">docs.langchain.com</a>.</p>
+<p>Redirecting you now...</p>
+</body>
+</html>
+"""
+
+CATCHALL_404_TEMPLATE = """<!doctype html>
+<html lang="en">
+<head>
+    <meta charset="utf-8">
+    <title>Redirecting to LangGraph Documentation</title>
+    <link rel="canonical" href="{default_url}">
+    <meta name="robots" content="noindex">
+    <script>
+        // Catchall redirect for any unmapped paths
+        window.location.replace("{default_url}");
+    </script>
+    <meta http-equiv="refresh" content="0; url={default_url}">
+</head>
+<body>
+<h1>Documentation has moved</h1>
+<p>The LangGraph documentation has moved to <a href="{default_url}">docs.langchain.com</a>.</p>
+<p>Redirecting you now...</p>
+</body>
+</html>
+"""
+
+
+def generate_redirects():
+    script_dir = Path(__file__).parent
+    output_dir = script_dir / "_site"
+
+    # Load redirects
+    with open(script_dir / "redirects.json") as f:
+        redirects = json.load(f)
+
+    # Clean output directory
+    if output_dir.exists():
+        import shutil
+        shutil.rmtree(output_dir)
+    output_dir.mkdir(parents=True)
+
+    # Generate individual HTML files for each redirect
+    for old_path, new_url in redirects.items():
+        # Remove leading slash and create directory structure
+        path = old_path.lstrip("/")
+
+        # Check if path has a file extension (e.g., .txt, .xml)
+        # If so, create the file directly instead of a directory with index.html
+        path_obj = Path(path)
+        has_extension = path_obj.suffix and len(path_obj.suffix) <= 5
+
+        if not path:
+            html_path = output_dir / "index.html"
+        elif has_extension:
+            # For files with extensions, create the file directly
+            html_path = output_dir / path
+        else:
+            # For directory-style URLs, create index.html inside
+            html_path = output_dir / path / "index.html"
+
+        # Create parent directories
+        html_path.parent.mkdir(parents=True, exist_ok=True)
+
+        # Write the redirect HTML
+        html_path.write_text(HTML_TEMPLATE.format(url=new_url))
+        print(f"Created: {html_path}")
+
+    # Create root index.html
+    root_index = output_dir / "index.html"
+    if not root_index.exists():
+        root_index.write_text(ROOT_HTML_TEMPLATE.format(url=DEFAULT_REDIRECT))
+        print(f"Created: {root_index}")
+
+    # Create 404.html for catchall
+    catchall_404 = output_dir / "404.html"
+    catchall_404.write_text(CATCHALL_404_TEMPLATE.format(default_url=DEFAULT_REDIRECT))
+    print(f"Created: {catchall_404}")
+
+    # Copy static files (like llms.txt) that can't be redirected via HTML
+    static_files = ["llms.txt"]
+    for static_file in static_files:
+        src = script_dir / static_file
+        if src.exists():
+            dst = output_dir / static_file
+            dst.write_text(src.read_text())
+            print(f"Copied: {dst}")
+
+    print(f"\nGenerated {len(redirects)} redirect files in {output_dir}")
+
+
+if __name__ == "__main__":
+    generate_redirects()

docs/llms.txt

@@ -0,0 +1,35 @@
+# LangGraph
+
+LangGraph documentation has moved to docs.langchain.com.
+
+## Overview
+
+- [LangGraph Overview](https://docs.langchain.com/oss/python/langgraph/overview): Introduction to LangGraph, a library for building stateful, multi-actor applications with LLMs.
+- [Why LangGraph?](https://docs.langchain.com/oss/python/langgraph/why-langgraph): Motivation for LangGraph and its key features.
+
+## Core Concepts
+
+- [Graph API](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn how to define state, create nodes, and connect them with edges.
+- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graph for better UX.
+- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Add memory and checkpointing to your graphs.
+- [Add Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Implement short-term and long-term memory.
+- [Workflows & Agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Build agents and workflows with LangGraph.
+
+## How-To Guides
+
+- [Use Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs using subgraphs.
+- [Observability](https://docs.langchain.com/oss/python/langgraph/observability): Add tracing and debugging to your graphs.
+- [Common Errors](https://docs.langchain.com/oss/python/langgraph/common-errors): Troubleshoot common LangGraph errors.
+
+## Tutorials
+
+- [Agentic RAG](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build an agentic RAG system with LangGraph.
+- [SQL Agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Create a SQL agent with LangGraph.
+
+## Reference
+
+- [API Reference](https://reference.langchain.com/python/langgraph/): Complete API documentation for LangGraph.
+
+## LangGraph Platform
+
+For deploying LangGraph applications in production, see the [LangSmith documentation](https://docs.langchain.com/langsmith/agent-server).

docs/redirects.json

@@ -0,0 +1,296 @@
+{
+  "/how-tos/stream-values": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/stream-updates": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-content": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/stream-multiple": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-tokens-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-from-final-node": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming-events-from-within-tools-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/state-reducers": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-and-update-state",
+  "/how-tos/sequence": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-a-sequence-of-steps",
+  "/how-tos/branching": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-branches",
+  "/how-tos/recursion-limit": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-and-control-loops",
+  "/how-tos/visualization": "https://docs.langchain.com/oss/python/langgraph/graph-api#visualize-your-graph",
+  "/how-tos/input_output_schema": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-input-and-output-schemas",
+  "/how-tos/pass_private_state": "https://docs.langchain.com/oss/python/langgraph/graph-api#pass-private-state-between-nodes",
+  "/how-tos/state-model": "https://docs.langchain.com/oss/python/langgraph/graph-api#use-pydantic-models-for-graph-state",
+  "/how-tos/map-reduce": "https://docs.langchain.com/oss/python/langgraph/graph-api#map-reduce-and-the-send-api",
+  "/how-tos/command": "https://docs.langchain.com/oss/python/langgraph/graph-api#combine-control-flow-and-state-updates-with-command",
+  "/how-tos/configuration": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-runtime-configuration",
+  "/how-tos/node-retries": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-retry-policies",
+  "/how-tos/return-when-recursion-limit-hits": "https://docs.langchain.com/oss/python/langgraph/graph-api#impose-a-recursion-limit",
+  "/how-tos/async": "https://docs.langchain.com/oss/python/langgraph/graph-api#async",
+  "/how-tos/memory/manage-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/memory/delete-messages": "https://docs.langchain.com/oss/python/langgraph/add-memory#delete-messages",
+  "/how-tos/memory/add-summary-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory#summarize-messages",
+  "/how-tos/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/agents/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/subgraph-transform-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#different-state-schemas",
+  "/how-tos/subgraphs-manage-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#add-persistence",
+  "/how-tos/persistence_postgres": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
+  "/how-tos/persistence_mongodb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
+  "/how-tos/persistence_redis": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
+  "/how-tos/subgraph-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-with-subgraphs",
+  "/how-tos/cross-thread-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#add-long-term-memory",
+  "/cloud/how-tos/copy_threads": "https://docs.langchain.com/langsmith/use-threads",
+  "/cloud/how-tos/check-thread-status": "https://docs.langchain.com/langsmith/use-threads",
+  "/cloud/concepts/threads": "https://docs.langchain.com/oss/python/langgraph/persistence#threads",
+  "/how-tos/persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/tool-calling-errors": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/pass-config-to-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/pass-run-time-values-to-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/update-state-from-tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/agents/tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/agent-handoffs": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/multi-agent-network": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/multi-agent-multi-turn-convo": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/cloud/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/cloud/how-tos/index": "https://docs.langchain.com/langsmith/home",
+  "/cloud/concepts/api": "https://docs.langchain.com/langsmith/agent-server",
+  "/cloud/concepts/cloud": "https://docs.langchain.com/langsmith/cloud",
+  "/cloud/faq/studio": "https://docs.langchain.com/langsmith/studio",
+  "/cloud/how-tos/human_in_the_loop_edit_state": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/cloud/how-tos/human_in_the_loop_user_input": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/concepts/platform_architecture": "https://docs.langchain.com/langsmith/cloud#architecture",
+  "/cloud/how-tos/stream_values": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_updates": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_messages": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_events": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_debug": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/how-tos/stream_multiple": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/concepts/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/agents/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/create-react-agent": "https://docs.langchain.com/oss/python/langchain/agents#basic-configuration",
+  "/how-tos/create-react-agent-memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/create-react-agent-system-prompt": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/create-react-agent-structured-output": "https://docs.langchain.com/oss/python/langchain/agents#structured-output",
+  "/prebuilt": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/reference/prebuilt": "https://reference.langchain.com/python/langgraph/agents/",
+  "/concepts/high_level": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/v0-human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/introduction": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/deployment": "https://docs.langchain.com/oss/python/langgraph/local-server",
+  "/how-tos/deploy-self-hosted": "https://docs.langchain.com/langsmith/platform-setup",
+  "/concepts/self_hosted": "https://docs.langchain.com/langsmith/platform-setup",
+  "/tutorials/deployment": "https://docs.langchain.com/langsmith/deployments",
+  "/cloud/how-tos/assistant_versioning": "https://docs.langchain.com/langsmith/configuration-cloud",
+  "/cloud/concepts/runs": "https://docs.langchain.com/langsmith/assistants#execution",
+  "/how-tos/wait-user-input-functional": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/how-tos/review-tool-calls-functional": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/how-tos/create-react-agent-hitl": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/agents/human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/human_in_the_loop/dynamic_breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/concepts/breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/human_in_the_loop/breakpoints": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/cloud/how-tos/human_in_the_loop_breakpoint": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/how-tos/human_in_the_loop/edit-graph-state": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
+  "/examples/index": "https://docs.langchain.com/oss/python/langgraph/case-studies",
+  "/guides/index": "https://docs.langchain.com/oss/python/langchain/overview",
+  "/tutorials/index": "https://docs.langchain.com/oss/python/learn",
+  "/llms-txt-overview": "https://docs.langchain.com/llms.txt",
+  "/tutorials/rag/langgraph_adaptive_rag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/multi_agent/multi-agent-collaboration": "https://docs.langchain.com/oss/python/langchain/multi-agent",
+  "/how-tos/create-react-agent-manage-message-history": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/many-tools": "https://docs.langchain.com/oss/python/langchain/tools",
+  "/tutorials/customer-support/customer-support": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/how-tos/react-agent-structured-output": "https://docs.langchain.com/oss/python/langchain/agents#structured-output",
+  "/tutorials/code_assistant/langgraph_code_assistant": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/multi_agent/hierarchical_agent_teams": "https://docs.langchain.com/oss/python/langchain/supervisor",
+  "/tutorials/auth/getting_started": "https://docs.langchain.com/langsmith/auth",
+  "/tutorials/auth/resource_auth": "https://docs.langchain.com/langsmith/resource-auth",
+  "/tutorials/auth/add_auth_server": "https://docs.langchain.com/langsmith/add-auth-server",
+  "/how-tos/use-remote-graph": "https://docs.langchain.com/langsmith/use-remote-graph",
+  "/how-tos/autogen-integration": "https://docs.langchain.com/langsmith/autogen-integration",
+  "/how-tos/human_in_the_loop/wait-user-input": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/cloud/how-tos/use_stream_react": "https://docs.langchain.com/langsmith/use-stream-react",
+  "/cloud/how-tos/generative_ui_react": "https://docs.langchain.com/langsmith/generative-ui-react",
+  "/concepts/langgraph_platform": "https://docs.langchain.com/langsmith/home",
+  "/concepts/langgraph_components": "https://docs.langchain.com/langsmith/components",
+  "/concepts/langgraph_server": "https://docs.langchain.com/langsmith/agent-server",
+  "/concepts/langgraph_data_plane": "https://docs.langchain.com/langsmith/data-plane",
+  "/concepts/langgraph_control_plane": "https://docs.langchain.com/langsmith/control-plane",
+  "/concepts/langgraph_cli": "https://docs.langchain.com/langsmith/cli",
+  "/concepts/langgraph_studio": "https://docs.langchain.com/langsmith/studio",
+  "/cloud/how-tos/studio/quick_start": "https://docs.langchain.com/langsmith/quick-start-studio",
+  "/cloud/how-tos/invoke_studio": "https://docs.langchain.com/langsmith/use-studio",
+  "/cloud/how-tos/studio/manage_assistants": "https://docs.langchain.com/langsmith/use-studio",
+  "/cloud/how-tos/threads_studio": "https://docs.langchain.com/langsmith/use-threads",
+  "/cloud/how-tos/iterate_graph_studio": "https://docs.langchain.com/langsmith/use-studio",
+  "/cloud/how-tos/studio/run_evals": "https://docs.langchain.com/langsmith/observability",
+  "/cloud/how-tos/clone_traces_studio": "https://docs.langchain.com/langsmith/observability",
+  "/cloud/how-tos/datasets_studio": "https://docs.langchain.com/langsmith/use-studio",
+  "/concepts/sdk": "https://docs.langchain.com/langsmith/sdk",
+  "/concepts/plans": "https://docs.langchain.com/langsmith/home",
+  "/concepts/application_structure": "https://docs.langchain.com/langsmith/application-structure",
+  "/concepts/scalability_and_resilience": "https://docs.langchain.com/langsmith/scalability-and-resilience",
+  "/concepts/auth": "https://docs.langchain.com/langsmith/auth",
+  "/how-tos/auth/custom_auth": "https://docs.langchain.com/langsmith/custom-auth",
+  "/how-tos/auth/openapi_security": "https://docs.langchain.com/langsmith/openapi-security",
+  "/concepts/assistants": "https://docs.langchain.com/langsmith/assistants",
+  "/cloud/how-tos/configuration_cloud": "https://docs.langchain.com/langsmith/configuration-cloud",
+  "/cloud/how-tos/use_threads": "https://docs.langchain.com/langsmith/use-threads",
+  "/cloud/how-tos/background_run": "https://docs.langchain.com/langsmith/background-run",
+  "/cloud/how-tos/same-thread": "https://docs.langchain.com/langsmith/same-thread",
+  "/cloud/how-tos/stateless_runs": "https://docs.langchain.com/langsmith/stateless-runs",
+  "/cloud/how-tos/configurable_headers": "https://docs.langchain.com/langsmith/configurable-headers",
+  "/concepts/double_texting": "https://docs.langchain.com/langsmith/double-texting",
+  "/cloud/how-tos/interrupt_concurrent": "https://docs.langchain.com/langsmith/interrupt-concurrent",
+  "/cloud/how-tos/rollback_concurrent": "https://docs.langchain.com/langsmith/rollback-concurrent",
+  "/cloud/how-tos/reject_concurrent": "https://docs.langchain.com/langsmith/reject-concurrent",
+  "/cloud/how-tos/enqueue_concurrent": "https://docs.langchain.com/langsmith/enqueue-concurrent",
+  "/cloud/concepts/webhooks": "https://docs.langchain.com/langsmith/use-webhooks",
+  "/cloud/how-tos/webhooks": "https://docs.langchain.com/langsmith/use-webhooks",
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+  "/cloud/deployment/standalone_container": "https://docs.langchain.com/langsmith/docker",
+  "/concepts/server-mcp": "https://docs.langchain.com/langsmith/server-mcp",
+  "/cloud/how-tos/human_in_the_loop_time_travel": "https://docs.langchain.com/langsmith/human-in-the-loop-time-travel",
+  "/cloud/how-tos/add-human-in-the-loop": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
+  "/cloud/deployment/egress": "https://docs.langchain.com/langsmith/env-var",
+  "/cloud/how-tos/streaming": "https://docs.langchain.com/langsmith/streaming",
+  "/cloud/reference/api/api_ref": "https://docs.langchain.com/langsmith/server-api-ref",
+  "/cloud/reference/langgraph_server_changelog": "https://docs.langchain.com/langsmith/agent-server-changelog",
+  "/cloud/reference/api/api_ref_control_plane": "https://docs.langchain.com/langsmith/api-ref-control-plane",
+  "/cloud/reference/cli": "https://docs.langchain.com/langsmith/cli",
+  "/cloud/reference/env_var": "https://docs.langchain.com/langsmith/env-var",
+  "/troubleshooting/studio": "https://docs.langchain.com/langsmith/troubleshooting-studio",
+  "/index": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/agents": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/concepts/why-langgraph": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/get-started/1-build-basic-chatbot": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/2-add-tools": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/3-add-memory": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/4-human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/5-customize-state": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/get-started/6-time-travel": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/tutorials/langsmith/local-server": "https://docs.langchain.com/oss/python/langgraph/local-server",
+  "/tutorials/workflows": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/tutorials/plan-and-execute/plan-and-execute": "https://docs.langchain.com/oss/python/langchain/middleware/built-in#to-do-list",
+  "/tutorials/langgraph-platform/local-server/local-server": "https://docs.langchain.com/langsmith/local-server",
+  "/concepts/agentic_concepts": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/agents/overview": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/agents/run_agents": "https://docs.langchain.com/oss/python/langgraph/quickstart",
+  "/concepts/low_level": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/graph-api": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/react-agent-from-scratch": "https://docs.langchain.com/oss/python/langchain/quickstart",
+  "/concepts/functional_api": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/how-tos/use-functional-api": "https://docs.langchain.com/oss/python/langgraph/functional-api",
+  "/concepts/pregel": "https://docs.langchain.com/oss/python/langgraph/pregel",
+  "/concepts/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/concepts/persistence": "https://docs.langchain.com/oss/python/langgraph/persistence",
+  "/concepts/durable_execution": "https://docs.langchain.com/oss/python/langgraph/durable-execution",
+  "/concepts/memory": "https://docs.langchain.com/oss/python/langgraph/memory",
+  "/how-tos/memory/add-memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/agents/context": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/agents/models": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/tools": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/how-tos/tool-calling": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/concepts/human_in_the_loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/how-tos/human_in_the_loop/add-human-in-the-loop": "https://docs.langchain.com/oss/python/langgraph/interrupts",
+  "/concepts/time-travel": "https://docs.langchain.com/oss/python/langgraph/persistence",
+  "/how-tos/human_in_the_loop/time-travel": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
+  "/concepts/subgraphs": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
+  "/how-tos/subgraph": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
+  "/concepts/multi_agent": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/agents/multi-agent": "https://docs.langchain.com/oss/python/langchain/multi-agent",
+  "/how-tos/multi_agent": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/concepts/mcp": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/mcp": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/tracing": "https://docs.langchain.com/oss/python/langgraph/observability",
+  "/how-tos/enable-tracing": "https://docs.langchain.com/oss/python/langgraph/observability",
+  "/agents/evals": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/concepts/template_applications": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/rag/langgraph_agentic_rag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/multi_agent/agent_supervisor": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/tutorials/sql/sql-agent": "https://docs.langchain.com/oss/python/langgraph/sql-agent",
+  "/agents/ui": "https://docs.langchain.com/oss/python/langgraph/ui",
+  "/how-tos/run-id-langsmith": "https://docs.langchain.com/oss/python/langgraph/observability",
+  "/troubleshooting/errors/index": "https://docs.langchain.com/oss/python/langgraph/common-errors",
+  "/troubleshooting/errors/INVALID_CHAT_HISTORY": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
+  "/troubleshooting/errors/INVALID_LICENSE": "https://docs.langchain.com/oss/python/langgraph/common-errors",
+  "/adopters": "https://docs.langchain.com/oss/python/langgraph/case-studies",
+  "/concepts/faq": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/agents/prebuilt": "https://docs.langchain.com/oss/python/langchain/agents",
+  "/reference/index": "https://reference.langchain.com/python/langgraph/",
+  "/reference/graphs": "https://reference.langchain.com/python/langgraph/graphs/",
+  "/reference/func": "https://reference.langchain.com/python/langgraph/func/",
+  "/reference/pregel": "https://reference.langchain.com/python/langgraph/pregel/",
+  "/reference/checkpoints": "https://reference.langchain.com/python/langgraph/checkpoints/",
+  "/reference/store": "https://reference.langchain.com/python/langgraph/store/",
+  "/reference/cache": "https://reference.langchain.com/python/langgraph/cache/",
+  "/reference/types": "https://reference.langchain.com/python/langgraph/types/",
+  "/reference/runtime": "https://reference.langchain.com/python/langgraph/runtime/",
+  "/reference/config": "https://reference.langchain.com/python/langgraph/config/",
+  "/reference/errors": "https://reference.langchain.com/python/langgraph/errors/",
+  "/reference/constants": "https://reference.langchain.com/python/langgraph/constants/",
+  "/reference/channels": "https://reference.langchain.com/python/langgraph/channels/",
+  "/reference/agents": "https://reference.langchain.com/python/langgraph/agents/",
+  "/reference/supervisor": "https://reference.langchain.com/python/langgraph/supervisor/",
+  "/reference/swarm": "https://reference.langchain.com/python/langgraph/swarm/",
+  "/reference/mcp": "https://reference.langchain.com/python/langgraph/mcp/",
+  "/cloud/reference/sdk/python_sdk_ref": "https://reference.langchain.com/python/langsmith/deployment/sdk/",
+  "/reference/remote_graph": "https://reference.langchain.com/python/langsmith/deployment/remote_graph/",
+  "/additional-resources/index": "https://docs.langchain.com/oss/python/langchain/overview",
+  "/cloud/reference/sdk/js_ts_sdk_ref": "https://reference.langchain.com/javascript/modules/langsmith.html",
+  "/snippets/chat_model_tabs": "https://docs.langchain.com/oss/python/langchain/overview",
+  "/troubleshooting/errors/GRAPH_RECURSION_LIMIT": "https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT",
+  "/troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE": "https://docs.langchain.com/oss/python/langgraph/INVALID_CONCURRENT_GRAPH_UPDATE",
+  "/troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE": "https://docs.langchain.com/oss/python/langgraph/INVALID_GRAPH_NODE_RETURN_VALUE",
+  "/troubleshooting/errors/MULTIPLE_SUBGRAPHS": "https://docs.langchain.com/oss/python/langgraph/MULTIPLE_SUBGRAPHS",
+  "/tutorials/rag/langgraph_self_rag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/additional-resources": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/examples": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/guides": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/how-tos/autogen-integration-functional": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/how-tos/cross-thread-persistence-functional": "https://docs.langchain.com/oss/python/langgraph/add-memory#add-long-term-memory",
+  "/how-tos/disable-streaming": "https://docs.langchain.com/oss/python/langgraph/streaming",
+  "/how-tos/memory/semantic-search": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/multi-agent-multi-turn-convo-functional": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/multi-agent-network-functional": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+  "/how-tos/persistence-functional": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+  "/how-tos/react-agent-from-scratch-functional": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+  "/reference": "https://reference.langchain.com/python/langgraph/",
+  "/troubleshooting/errors": "https://docs.langchain.com/oss/python/langgraph/common-errors",
+  "/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/chatbots/information-gather-prompting": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/extraction/retries": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/langgraph-platform/local-server": "https://docs.langchain.com/langsmith/agent-server",
+  "/tutorials/lats/lats": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/llm-compiler/LLMCompiler": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/rag/langgraph_adaptive_rag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/rag/langgraph_crag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/rag/langgraph_crag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/rag/langgraph_self_rag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
+  "/tutorials/reflection/reflection": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/reflexion/reflexion": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/rewoo/rewoo": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/self-discover/self-discover": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/tnt-llm/tnt-llm": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/tot/tot": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/usaco/usaco": "https://docs.langchain.com/oss/python/langgraph/overview",
+  "/tutorials/web-navigation/web_voyager": "https://docs.langchain.com/oss/python/langgraph/overview"
+}

examples/README.md

@@ -0,0 +1,3 @@
+# LangGraph examples
+
+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.

examples/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "10251c1c",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c5fc63df",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a4351a24",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4cc9af1e",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/chatbot-simulation-evaluation/simulation_utils.py

@@ -0,0 +1,203 @@
+import functools
+from typing import Annotated, Any, Callable, Dict, List, Optional, Union
+
+from langchain_community.adapters.openai import convert_message_to_dict
+from langchain_core.messages import AIMessage, AnyMessage, BaseMessage, HumanMessage
+from langchain_core.prompts import ChatPromptTemplate, MessagesPlaceholder
+from langchain_core.runnables import Runnable, RunnableLambda
+from langchain_core.runnables import chain as as_runnable
+from langchain_openai import ChatOpenAI
+from typing_extensions import TypedDict
+
+from langgraph.graph import END, StateGraph, START
+
+
+def langchain_to_openai_messages(messages: List[BaseMessage]):
+    """
+    Convert a list of langchain base messages to a list of openai messages.
+
+    Parameters:
+        messages (List[BaseMessage]): A list of langchain base messages.
+
+    Returns:
+        List[dict]: A list of openai messages.
+    """
+
+    return [
+        convert_message_to_dict(m) if isinstance(m, BaseMessage) else m
+        for m in messages
+    ]
+
+
+def create_simulated_user(
+    system_prompt: str, llm: Runnable | None = None
+) -> Runnable[Dict, AIMessage]:
+    """
+    Creates a simulated user for chatbot simulation.
+
+    Args:
+        system_prompt (str): The system prompt to be used by the simulated user.
+        llm (Runnable | None, optional): The language model to be used for the simulation.
+            Defaults to gpt-3.5-turbo.
+
+    Returns:
+        Runnable[Dict, AIMessage]: The simulated user for chatbot simulation.
+    """
+    return ChatPromptTemplate.from_messages(
+        [
+            ("system", system_prompt),
+            MessagesPlaceholder(variable_name="messages"),
+        ]
+    ) | (llm or ChatOpenAI(model="gpt-3.5-turbo")).with_config(
+        run_name="simulated_user"
+    )
+
+
+Messages = Union[list[AnyMessage], AnyMessage]
+
+
+def add_messages(left: Messages, right: Messages) -> Messages:
+    if not isinstance(left, list):
+        left = [left]
+    if not isinstance(right, list):
+        right = [right]
+    return left + right
+
+
+class SimulationState(TypedDict):
+    """
+    Represents the state of a simulation.
+
+    Attributes:
+        messages (List[AnyMessage]): A list of messages in the simulation.
+        inputs (Optional[dict[str, Any]]): Optional inputs for the simulation.
+    """
+
+    messages: Annotated[List[AnyMessage], add_messages]
+    inputs: Optional[dict[str, Any]]
+
+
+def create_chat_simulator(
+    assistant: (
+        Callable[[List[AnyMessage]], str | AIMessage]
+        | Runnable[List[AnyMessage], str | AIMessage]
+    ),
+    simulated_user: Runnable[Dict, AIMessage],
+    *,
+    input_key: str,
+    max_turns: int = 6,
+    should_continue: Optional[Callable[[SimulationState], str]] = None,
+):
+    """Creates a chat simulator for evaluating a chatbot.
+
+    Args:
+        assistant: The chatbot assistant function or runnable object.
+        simulated_user: The simulated user object.
+        input_key: The key for the input to the chat simulation.
+        max_turns: The maximum number of turns in the chat simulation. Default is 6.
+        should_continue: Optional function to determine if the simulation should continue.
+            If not provided, a default function will be used.
+
+    Returns:
+        The compiled chat simulation graph.
+
+    """
+    graph_builder = StateGraph(SimulationState)
+    graph_builder.add_node(
+        "user",
+        _create_simulated_user_node(simulated_user),
+    )
+    graph_builder.add_node(
+        "assistant", _fetch_messages | assistant | _coerce_to_message
+    )
+    graph_builder.add_edge("assistant", "user")
+    graph_builder.add_conditional_edges(
+        "user",
+        should_continue or functools.partial(_should_continue, max_turns=max_turns),
+    )
+    # If your dataset has a 'leading question/input', then we route first to the assistant, otherwise, we let the user take the lead.
+    graph_builder.add_edge(START, "assistant" if input_key is not None else "user")
+
+    return (
+        RunnableLambda(_prepare_example).bind(input_key=input_key)
+        | graph_builder.compile()
+    )
+
+
+## Private methods
+
+
+def _prepare_example(inputs: dict[str, Any], input_key: Optional[str] = None):
+    if input_key is not None:
+        if input_key not in inputs:
+            raise ValueError(
+                f"Dataset's example input must contain the provided input key: '{input_key}'.\nFound: {list(inputs.keys())}"
+            )
+        messages = [HumanMessage(content=inputs[input_key])]
+        return {
+            "inputs": {k: v for k, v in inputs.items() if k != input_key},
+            "messages": messages,
+        }
+    return {"inputs": inputs, "messages": []}
+
+
+def _invoke_simulated_user(state: SimulationState, simulated_user: Runnable):
+    """Invoke the simulated user node."""
+    runnable = (
+        simulated_user
+        if isinstance(simulated_user, Runnable)
+        else RunnableLambda(simulated_user)
+    )
+    inputs = state.get("inputs", {})
+    inputs["messages"] = state["messages"]
+    return runnable.invoke(inputs)
+
+
+def _swap_roles(state: SimulationState):
+    new_messages = []
+    for m in state["messages"]:
+        if isinstance(m, AIMessage):
+            new_messages.append(HumanMessage(content=m.content))
+        else:
+            new_messages.append(AIMessage(content=m.content))
+    return {
+        "inputs": state.get("inputs", {}),
+        "messages": new_messages,
+    }
+
+
+@as_runnable
+def _fetch_messages(state: SimulationState):
+    """Invoke the simulated user node."""
+    return state["messages"]
+
+
+def _convert_to_human_message(message: BaseMessage):
+    return {"messages": [HumanMessage(content=message.content)]}
+
+
+def _create_simulated_user_node(simulated_user: Runnable):
+    """Simulated user accepts a {"messages": [...]} argument and returns a single message."""
+    return (
+        _swap_roles
+        | RunnableLambda(_invoke_simulated_user).bind(simulated_user=simulated_user)
+        | _convert_to_human_message
+    )
+
+
+def _coerce_to_message(assistant_output: str | BaseMessage):
+    if isinstance(assistant_output, str):
+        return {"messages": [AIMessage(content=assistant_output)]}
+    else:
+        return {"messages": [assistant_output]}
+
+
+def _should_continue(state: SimulationState, max_turns: int = 6):
+    messages = state["messages"]
+    # TODO support other stop criteria
+    if len(messages) > max_turns:
+        return END
+    elif messages[-1].content.strip() == "FINISHED":
+        return END
+    else:
+        return "assistant"

examples/chatbots/information-gather-prompting.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a9014f94",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/chatbots/information-gather-prompting.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f47ce992",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/code_assistant/langgraph_code_assistant.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1f2f13ca",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/code_assistant/langgraph_code_assistant.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e4c9bfe",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/customer-support/customer-support.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a8232bc9",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/customer-support/customer-support.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "63da8671",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/extraction/retries.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8dbdba5b",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/extraction/retries.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d444b7f",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/human_in_the_loop/wait-user-input.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3ecab357",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3f2866bd",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/lats/lats.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "09038b53",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/lats/lats.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b1669748",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/llm-compiler/LLMCompiler.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "85205e97",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2fdab366",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/multi_agent/hierarchical_agent_teams.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5cc8a2ad",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9f3508a",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/multi_agent/multi-agent-collaboration.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d2b507b9",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41a8f10a",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/plan-and-execute/plan-and-execute.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9138f92e",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "093678ba",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/react-agent-from-scratch.ipynb

@@ -0,0 +1,40 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "294995c4",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/react-agent-from-scratch.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

examples/react-agent-structured-output.ipynb

@@ -0,0 +1,40 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "40f0d107",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/react-agent-structured-output.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

examples/reflection/reflection.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "658773a2",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/reflection/reflection.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1cb60657",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/reflexion/reflexion.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "caf07859",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/reflexion/reflexion.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cd1df0e0",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/rewoo/rewoo.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "961f43ec",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/rewoo/rewoo.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f00c427",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/run-id-langsmith.ipynb

@@ -0,0 +1,40 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "bbd6e9b8",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/run-id-langsmith.md)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

examples/self-discover/self-discover.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f6db1873",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/self-discover/self-discover.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "219a78f9",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/subgraph.ipynb

@@ -0,0 +1,40 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "f49876e1",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/subgraph.md)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

examples/tool-calling.ipynb

@@ -0,0 +1,40 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "7fd8bd65",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/tool-calling.md)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

examples/tutorials/sql-agent.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "83c2223f",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/sql/sql-agent.md)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57f924b1",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/tutorials/tnt-llm/tnt-llm.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "11140167",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/tnt-llm/tnt-llm.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1a2ba3e6",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/usaco/usaco.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9dffdb54",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/usaco/usaco.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "579c9959",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/web-navigation/web_voyager.ipynb

@@ -0,0 +1,41 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "007ea2e9",
+   "metadata": {},
+   "source": [
+    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/web-navigation/web_voyager.ipynb)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f0d7b895",
+   "metadata": {},
+   "source": [
+    "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)."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

libs/checkpoint-conformance/Makefile

@@ -0,0 +1,12 @@
+.PHONY: format lint test
+
+format:
+	uv run ruff format .
+	uv run ruff check --fix .
+
+lint:
+	uv run ruff check .
+	uv run ty check
+
+test:
+	uv run pytest $(TEST)

libs/checkpoint-conformance/README.md

@@ -0,0 +1,111 @@
+# langgraph-checkpoint-conformance
+
+Conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations.
+
+Validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
+
+## Installation
+
+```bash
+pip install langgraph-checkpoint-conformance
+```
+
+## Quick start
+
+Register your checkpointer with `@checkpointer_test` and run `validate()`:
+
+```python
+import asyncio
+from langgraph.checkpoint.conformance import checkpointer_test, validate
+
+@checkpointer_test(name="MyCheckpointer")
+async def my_checkpointer():
+    saver = MyCheckpointer(...)
+    yield saver
+    # cleanup runs after yield
+
+async def main():
+    report = await validate(my_checkpointer)
+    report.print_report()
+    assert report.passed_all_base()
+
+asyncio.run(main())
+```
+
+Or in a pytest test:
+
+```python
+import pytest
+from langgraph.checkpoint.conformance import checkpointer_test, validate
+
+@checkpointer_test(name="MyCheckpointer")
+async def my_checkpointer():
+    yield MyCheckpointer(...)
+
+@pytest.mark.asyncio
+async def test_conformance():
+    report = await validate(my_checkpointer)
+    report.print_report()
+    assert report.passed_all_base()
+```
+
+## Capabilities
+
+The suite tests **base** capabilities (required) and **extended** capabilities (optional, auto-detected):
+
+| Capability | Required | Method |
+|---|---|---|
+| `put` | yes | `aput` |
+| `put_writes` | yes | `aput_writes` |
+| `get_tuple` | yes | `aget_tuple` |
+| `list` | yes | `alist` |
+| `delete_thread` | yes | `adelete_thread` |
+| `delete_for_runs` | no | `adelete_for_runs` |
+| `copy_thread` | no | `acopy_thread` |
+| `prune` | no | `aprune` |
+
+Extended capabilities are detected by checking whether the method is overridden from `BaseCheckpointSaver`. If not overridden, those tests are skipped.
+
+## Options
+
+### Progress output
+
+```python
+from langgraph.checkpoint.conformance.report import ProgressCallbacks
+
+# Dot-style progress (. per pass, F per fail)
+report = await validate(my_checkpointer, progress=ProgressCallbacks.default())
+
+# Verbose (per-test names + stacktraces on failure)
+report = await validate(my_checkpointer, progress=ProgressCallbacks.verbose())
+```
+
+### Skip capabilities
+
+```python
+@checkpointer_test(name="MyCheckpointer", skip_capabilities={"prune"})
+async def my_checkpointer():
+    yield MyCheckpointer(...)
+```
+
+### Run specific capabilities
+
+```python
+report = await validate(my_checkpointer, capabilities={"put", "list"})
+```
+
+### Lifespan (one-time setup/teardown)
+
+For expensive setup like database creation:
+
+```python
+async def db_lifespan():
+    await create_database()
+    yield
+    await drop_database()
+
+@checkpointer_test(name="PostgresSaver", lifespan=db_lifespan)
+async def pg_checkpointer():
+    async with PostgresSaver.from_conn_string(CONN_STRING) as saver:
+        yield saver
+```

libs/checkpoint-conformance/langgraph/checkpoint/conformance/__init__.py

@@ -0,0 +1,9 @@
+"""langgraph-checkpoint-conformance: conformance test suite for checkpointer implementations."""
+
+from langgraph.checkpoint.conformance.initializer import checkpointer_test
+from langgraph.checkpoint.conformance.validate import validate
+
+__all__ = [
+    "checkpointer_test",
+    "validate",
+]

libs/checkpoint-conformance/langgraph/checkpoint/conformance/capabilities.py

@@ -0,0 +1,93 @@
+"""Capability detection for checkpointer implementations."""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from enum import Enum
+from typing import TYPE_CHECKING
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+if TYPE_CHECKING:
+    pass
+
+
+class Capability(str, Enum):
+    """Capabilities that a checkpointer may support."""
+
+    PUT = "put"
+    PUT_WRITES = "put_writes"
+    GET_TUPLE = "get_tuple"
+    LIST = "list"
+    DELETE_THREAD = "delete_thread"
+    DELETE_FOR_RUNS = "delete_for_runs"
+    COPY_THREAD = "copy_thread"
+    PRUNE = "prune"
+
+
+# Capabilities that every checkpointer must support.
+BASE_CAPABILITIES = frozenset(
+    {
+        Capability.PUT,
+        Capability.PUT_WRITES,
+        Capability.GET_TUPLE,
+        Capability.LIST,
+        Capability.DELETE_THREAD,
+    }
+)
+
+# Capabilities that are optional extensions.
+EXTENDED_CAPABILITIES = frozenset(
+    {
+        Capability.DELETE_FOR_RUNS,
+        Capability.COPY_THREAD,
+        Capability.PRUNE,
+    }
+)
+
+ALL_CAPABILITIES = BASE_CAPABILITIES | EXTENDED_CAPABILITIES
+
+# Maps capability to the async method name on BaseCheckpointSaver (or subclass).
+_CAPABILITY_METHOD_MAP: dict[Capability, str] = {
+    Capability.PUT: "aput",
+    Capability.PUT_WRITES: "aput_writes",
+    Capability.GET_TUPLE: "aget_tuple",
+    Capability.LIST: "alist",
+    Capability.DELETE_THREAD: "adelete_thread",
+    Capability.DELETE_FOR_RUNS: "adelete_for_runs",
+    Capability.COPY_THREAD: "acopy_thread",
+    Capability.PRUNE: "aprune",
+}
+
+
+@dataclass(frozen=True)
+class DetectedCapabilities:
+    """Result of capability detection for a checkpointer type."""
+
+    detected: frozenset[Capability]
+    missing: frozenset[Capability]
+
+    @classmethod
+    def from_instance(cls, saver: BaseCheckpointSaver) -> DetectedCapabilities:
+        """Detect capabilities from a checkpointer instance."""
+        inner_type = type(saver)
+        detected: set[Capability] = set()
+
+        for cap, method_name in _CAPABILITY_METHOD_MAP.items():
+            if _is_overridden(inner_type, method_name):
+                detected.add(cap)
+
+        detected_fs = frozenset(detected)
+        return cls(
+            detected=detected_fs,
+            missing=ALL_CAPABILITIES - detected_fs,
+        )
+
+
+def _is_overridden(inner_type: type, method: str) -> bool:
+    """Check if *method* on *inner_type* differs from the base class default."""
+    base = getattr(BaseCheckpointSaver, method, None)
+    impl = getattr(inner_type, method, None)
+    if base is None or impl is None:
+        return impl is not None
+    return impl is not base

libs/checkpoint-conformance/langgraph/checkpoint/conformance/initializer.py

@@ -0,0 +1,100 @@
+"""Checkpointer test registration and factory management."""
+
+from __future__ import annotations
+
+from collections.abc import AsyncGenerator, Callable
+from contextlib import asynccontextmanager
+from dataclasses import dataclass, field
+from typing import Any
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+# Type for the lifespan async context manager factory.
+LifespanFactory = Callable[[], AsyncGenerator[None, None]]
+
+# Module-level registry of decorated checkpointer factories.
+_REGISTRY: dict[str, RegisteredCheckpointer] = {}
+
+
+async def _noop_lifespan() -> AsyncGenerator[None, None]:
+    yield
+
+
+@dataclass
+class RegisteredCheckpointer:
+    """A registered checkpointer test factory."""
+
+    name: str
+    factory: Callable[[], AsyncGenerator[BaseCheckpointSaver, None]]
+    skip_capabilities: set[str] = field(default_factory=set)
+    lifespan: LifespanFactory = _noop_lifespan
+
+    @asynccontextmanager
+    async def create(self) -> AsyncGenerator[BaseCheckpointSaver, None]:
+        """Create a fresh checkpointer instance via the async generator."""
+        gen = self.factory()
+        try:
+            saver = await gen.__anext__()
+            yield saver
+        finally:
+            try:
+                await gen.__anext__()
+            except StopAsyncIteration:
+                pass
+
+    @asynccontextmanager
+    async def enter_lifespan(self) -> AsyncGenerator[None, None]:
+        """Enter the lifespan context (once per validation run)."""
+        gen = self.lifespan()
+        try:
+            await gen.__anext__()
+            yield
+        finally:
+            try:
+                await gen.__anext__()
+            except StopAsyncIteration:
+                pass
+
+
+def checkpointer_test(
+    name: str,
+    *,
+    skip_capabilities: set[str] | None = None,
+    lifespan: LifespanFactory | None = None,
+) -> Callable[[Any], RegisteredCheckpointer]:
+    """Register an async generator as a checkpointer test factory.
+
+    The factory is called once per capability suite to create a fresh
+    checkpointer.  The optional `lifespan` is an async generator that
+    runs once for the entire validation run (e.g. to create/destroy a
+    database).
+
+    Example::
+
+        @checkpointer_test(name="InMemorySaver")
+        async def memory_checkpointer():
+            yield InMemorySaver()
+
+    With lifespan::
+
+        async def pg_lifespan():
+            await create_database()
+            yield
+            await drop_database()
+
+        @checkpointer_test(name="PostgresSaver", lifespan=pg_lifespan)
+        async def pg_checkpointer():
+            yield PostgresSaver(conn_string="...")
+    """
+
+    def decorator(fn: Any) -> RegisteredCheckpointer:
+        registered = RegisteredCheckpointer(
+            name=name,
+            factory=fn,
+            skip_capabilities=skip_capabilities or set(),
+            lifespan=lifespan or _noop_lifespan,
+        )
+        _REGISTRY[name] = registered
+        return registered
+
+    return decorator

libs/checkpoint-conformance/langgraph/checkpoint/conformance/report.py

@@ -0,0 +1,198 @@
+"""Capability report: results, progress callbacks, and pretty-printing."""
+
+from __future__ import annotations
+
+from collections.abc import Callable
+from dataclasses import dataclass, field
+from typing import Any
+
+from langgraph.checkpoint.conformance.capabilities import (
+    BASE_CAPABILITIES,
+    EXTENDED_CAPABILITIES,
+    Capability,
+)
+
+# Callback type for per-test progress reporting.
+# (capability_name, test_name, passed, error_msg_or_None) -> None
+OnTestResult = Callable[[str, str, bool, str | None], None]
+
+# Callback type for capability-level events.
+# (capability_name, detected) -> None
+OnCapabilityStart = Callable[[str, bool], None]
+
+
+class ProgressCallbacks:
+    """Grouped callbacks for progress reporting during validation."""
+
+    def __init__(
+        self,
+        *,
+        on_capability_start: Callable[[str, bool], None] | None = None,
+        on_test_result: OnTestResult | None = None,
+        on_capability_end: Callable[[str], None] | None = None,
+    ) -> None:
+        self.on_capability_start = on_capability_start
+        self.on_test_result = on_test_result
+        self.on_capability_end = on_capability_end
+
+    @classmethod
+    def default(cls) -> ProgressCallbacks:
+        """Dot-style progress: ``.`` per pass, ``F`` per fail."""
+
+        def _cap_start(capability: str, detected: bool) -> None:
+            if detected:
+                print(f"  {capability}: ", end="", flush=True)
+            else:
+                print(f"  ⊘ {capability} (not implemented)")
+
+        def _test_result(
+            capability: str, test_name: str, passed: bool, error: str | None
+        ) -> None:
+            print("." if passed else "F", end="", flush=True)
+
+        def _cap_end(capability: str) -> None:
+            print()  # newline after dots
+
+        return cls(
+            on_capability_start=_cap_start,
+            on_test_result=_test_result,
+            on_capability_end=_cap_end,
+        )
+
+    @classmethod
+    def verbose(cls) -> ProgressCallbacks:
+        """Per-test output with names and errors."""
+
+        def _cap_start(capability: str, detected: bool) -> None:
+            if detected:
+                print(f"  {capability}:")
+            else:
+                print(f"  ⊘ {capability} (not implemented)")
+
+        def _test_result(
+            capability: str, test_name: str, passed: bool, error: str | None
+        ) -> None:
+            icon = "✓" if passed else "✗"
+            print(f"    {icon} {test_name}")
+            if error:
+                for line in error.rstrip().splitlines():
+                    print(f"      {line}")
+
+        return cls(
+            on_capability_start=_cap_start,
+            on_test_result=_test_result,
+        )
+
+    @classmethod
+    def quiet(cls) -> ProgressCallbacks:
+        """No progress output."""
+        return cls()
+
+
+@dataclass
+class CapabilityResult:
+    """Result of running a single capability's test suite."""
+
+    detected: bool = False
+    passed: bool | None = None  # None = skipped
+    tests_passed: int = 0
+    tests_failed: int = 0
+    tests_skipped: int = 0
+    failures: list[str] = field(default_factory=list)
+
+
+@dataclass
+class CapabilityReport:
+    """Aggregate report across all capabilities."""
+
+    checkpointer_name: str
+    results: dict[str, CapabilityResult] = field(default_factory=dict)
+
+    def passed_all_base(self) -> bool:
+        """Whether all base capability tests passed."""
+        for cap in BASE_CAPABILITIES:
+            result = self.results.get(cap.value)
+            if result is None or result.passed is not True:
+                return False
+        return True
+
+    def passed_all(self) -> bool:
+        """Whether every detected capability's tests passed."""
+        for result in self.results.values():
+            if result.detected and result.passed is not True:
+                return False
+        return True
+
+    def conformance_level(self) -> str:
+        """Return a human-readable conformance level string."""
+        if self.passed_all():
+            return "FULL"
+        if self.passed_all_base():
+            return "BASE+PARTIAL"
+        return "BASE" if self._any_base_passed() else "NONE"
+
+    def _any_base_passed(self) -> bool:
+        for cap in BASE_CAPABILITIES:
+            result = self.results.get(cap.value)
+            if result and result.passed is True:
+                return True
+        return False
+
+    def print_report(self) -> None:
+        """Pretty-print the report to stdout."""
+        width = 52
+        border = "=" * width
+        print(f"\n{'':>2}{border}")
+        print(f"{'':>2}  Checkpointer Validation: {self.checkpointer_name}")
+        print(f"{'':>2}{border}")
+
+        def _section(title: str, caps: frozenset[Capability]) -> None:
+            print(f"{'':>2}  {title}")
+            for cap in sorted(caps, key=lambda c: c.value):
+                result = self.results.get(cap.value)
+                if result is None:
+                    icon = "  "
+                    suffix = "(no tests)"
+                elif not result.detected:
+                    icon = "⊘ "
+                    suffix = "(not implemented)"
+                elif result.passed is True:
+                    icon = "✅"
+                    suffix = ""
+                elif result.passed is False:
+                    icon = "❌"
+                    suffix = f"({result.tests_failed} failed)"
+                else:
+                    icon = "⏭ "
+                    suffix = "(skipped)"
+                print(f"{'':>2}    {icon} {cap.value:20s} {suffix}")
+            print()
+
+        _section("BASE CAPABILITIES", BASE_CAPABILITIES)
+        _section("EXTENDED CAPABILITIES", EXTENDED_CAPABILITIES)
+
+        total = sum(1 for r in self.results.values() if r.detected)
+        passed = sum(
+            1 for r in self.results.values() if r.detected and r.passed is True
+        )
+        level = self.conformance_level()
+        print(f"{'':>2}  Result: {level} ({passed}/{total})")
+        print(f"{'':>2}{border}\n")
+
+    def to_dict(self) -> dict[str, Any]:
+        """Return a JSON-serializable dict."""
+        return {
+            "checkpointer_name": self.checkpointer_name,
+            "conformance_level": self.conformance_level(),
+            "results": {
+                name: {
+                    "detected": r.detected,
+                    "passed": r.passed,
+                    "tests_passed": r.tests_passed,
+                    "tests_failed": r.tests_failed,
+                    "tests_skipped": r.tests_skipped,
+                    "failures": r.failures,
+                }
+                for name, r in self.results.items()
+            },
+        }

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/__init__.py

@@ -0,0 +1,27 @@
+"""Test spec modules for each checkpointer capability."""
+
+from langgraph.checkpoint.conformance.spec.test_copy_thread import (
+    run_copy_thread_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
+    run_delete_for_runs_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_delete_thread import (
+    run_delete_thread_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
+from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
+from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
+from langgraph.checkpoint.conformance.spec.test_put import run_put_tests
+from langgraph.checkpoint.conformance.spec.test_put_writes import run_put_writes_tests
+
+__all__ = [
+    "run_put_tests",
+    "run_put_writes_tests",
+    "run_get_tuple_tests",
+    "run_list_tests",
+    "run_delete_thread_tests",
+    "run_delete_for_runs_tests",
+    "run_copy_thread_tests",
+    "run_prune_tests",
+]

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_copy_thread.py

@@ -0,0 +1,250 @@
+"""COPY_THREAD capability tests — acopy_thread."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _setup_source_thread(
+    saver: BaseCheckpointSaver,
+    tid: str,
+    *,
+    n: int = 3,
+    namespaces: list[str] | None = None,
+) -> list[dict]:
+    """Create n checkpoints on tid (optionally across namespaces). Returns stored configs."""
+    nss = namespaces or [""]
+    stored = []
+    for ns in nss:
+        parent_cfg = None
+        for i in range(n):
+            config = generate_config(tid, checkpoint_ns=ns)
+            if parent_cfg:
+                config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                    "checkpoint_id"
+                ]
+            cp = generate_checkpoint(channel_values={"step": i})
+            cp["channel_versions"] = {"step": 1}
+            parent_cfg = await saver.aput(
+                config, cp, generate_metadata(step=i), {"step": 1}
+            )
+            stored.append(parent_cfg)
+    return stored
+
+
+async def test_copy_thread_basic(saver: BaseCheckpointSaver) -> None:
+    """Checkpoints appear on target thread."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src)
+
+    await saver.acopy_thread(src, dst)
+    results = []
+    async for tup in saver.alist(generate_config(dst)):
+        results.append(tup)
+    assert len(results) == 3, f"Expected 3 copied checkpoints, got {len(results)}"
+
+
+async def test_copy_thread_all_checkpoints(saver: BaseCheckpointSaver) -> None:
+    """All checkpoints copied, not just latest."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=3)
+
+    await saver.acopy_thread(src, dst)
+    src_results = []
+    async for tup in saver.alist(generate_config(src)):
+        src_results.append(tup)
+
+    dst_results = []
+    async for tup in saver.alist(generate_config(dst)):
+        dst_results.append(tup)
+
+    assert len(dst_results) == len(src_results)
+    # Verify content matches
+    for s, d in zip(
+        sorted(src_results, key=lambda t: t.checkpoint["id"]),
+        sorted(dst_results, key=lambda t: t.checkpoint["id"]),
+        strict=True,
+    ):
+        assert s.checkpoint["channel_values"] == d.checkpoint["channel_values"], (
+            f"channel_values mismatch for checkpoint {s.checkpoint['id']}"
+        )
+
+
+async def test_copy_thread_preserves_metadata(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Metadata intact on copied checkpoints."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=2)
+
+    await saver.acopy_thread(src, dst)
+    src_tuples = []
+    async for tup in saver.alist(generate_config(src)):
+        src_tuples.append(tup)
+
+    dst_tuples = []
+    async for tup in saver.alist(generate_config(dst)):
+        dst_tuples.append(tup)
+
+    for s, d in zip(
+        sorted(src_tuples, key=lambda t: t.metadata.get("step", 0)),
+        sorted(dst_tuples, key=lambda t: t.metadata.get("step", 0)),
+        strict=True,
+    ):
+        for key in s.metadata:
+            assert s.metadata.get(key) == d.metadata.get(key), (
+                f"metadata[{key!r}] mismatch: {s.metadata.get(key)!r} != {d.metadata.get(key)!r}"
+            )
+
+
+async def test_copy_thread_preserves_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Root + child namespaces copied."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=1, namespaces=["", "child:1"])
+
+    await saver.acopy_thread(src, dst)
+    for ns in ["", "child:1"]:
+        results = []
+        async for tup in saver.alist(generate_config(dst, checkpoint_ns=ns)):
+            results.append(tup)
+        assert len(results) == 1, (
+            f"Expected 1 checkpoint in namespace '{ns}', got {len(results)}"
+        )
+
+
+async def test_copy_thread_preserves_writes(saver: BaseCheckpointSaver) -> None:
+    """Pending writes copied."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    configs = await _setup_source_thread(saver, src, n=1)
+
+    # Add a write to the source
+    await saver.aput_writes(configs[-1], [("ch", "write_val")], str(uuid4()))
+
+    await saver.acopy_thread(src, dst)
+    tup = await saver.aget_tuple(generate_config(dst))
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected 1 write, got {len(tup.pending_writes)}"
+    )
+    assert tup.pending_writes[0][1] == "ch", (
+        f"channel mismatch: {tup.pending_writes[0][1]!r}"
+    )
+    assert tup.pending_writes[0][2] == "write_val", (
+        f"value mismatch: {tup.pending_writes[0][2]!r}"
+    )
+
+
+async def test_copy_thread_preserves_ordering(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Checkpoint order maintained."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=4)
+
+    await saver.acopy_thread(src, dst)
+    src_ids = []
+    async for tup in saver.alist(generate_config(src)):
+        src_ids.append(tup.checkpoint["id"])
+
+    dst_ids = []
+    async for tup in saver.alist(generate_config(dst)):
+        dst_ids.append(tup.checkpoint["id"])
+
+    # Order should match (both newest-first)
+    assert src_ids == dst_ids
+
+
+async def test_copy_thread_source_unchanged(saver: BaseCheckpointSaver) -> None:
+    """Source thread still intact after copy."""
+    src = str(uuid4())
+    dst = str(uuid4())
+    await _setup_source_thread(saver, src, n=2)
+
+    # Snapshot source before copy
+    src_before = []
+    async for tup in saver.alist(generate_config(src)):
+        src_before.append(tup.checkpoint["id"])
+
+    await saver.acopy_thread(src, dst)
+    # Source should be unchanged
+    src_after = []
+    async for tup in saver.alist(generate_config(src)):
+        src_after.append(tup.checkpoint["id"])
+
+    assert src_before == src_after
+
+
+async def test_copy_thread_nonexistent_source(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Graceful handling of non-existent source thread."""
+    src = str(uuid4())
+    dst = str(uuid4())
+
+    # Should not raise (or raise a known error)
+    try:
+        await saver.acopy_thread(src, dst)
+    except Exception:
+        pass  # Some implementations may raise; that's acceptable
+
+    # Destination should be empty
+    results = []
+    async for tup in saver.alist(generate_config(dst)):
+        results.append(tup)
+    assert len(results) == 0
+
+
+ALL_COPY_THREAD_TESTS = [
+    test_copy_thread_basic,
+    test_copy_thread_all_checkpoints,
+    test_copy_thread_preserves_metadata,
+    test_copy_thread_preserves_namespaces,
+    test_copy_thread_preserves_writes,
+    test_copy_thread_preserves_ordering,
+    test_copy_thread_source_unchanged,
+    test_copy_thread_nonexistent_source,
+]
+
+
+async def run_copy_thread_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all copy_thread tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_COPY_THREAD_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("copy_thread", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "copy_thread", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_for_runs.py

@@ -0,0 +1,218 @@
+"""DELETE_FOR_RUNS capability tests — adelete_for_runs."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _put_with_run_id(
+    saver: BaseCheckpointSaver,
+    tid: str,
+    run_id: str,
+    *,
+    checkpoint_ns: str = "",
+    parent_config: dict | None = None,
+) -> dict:
+    """Put a checkpoint with a run_id in metadata, return stored config."""
+    config = generate_config(tid, checkpoint_ns=checkpoint_ns)
+    if parent_config:
+        config["configurable"]["checkpoint_id"] = parent_config["configurable"][
+            "checkpoint_id"
+        ]
+    cp = generate_checkpoint()
+    md = generate_metadata(run_id=run_id)
+    return await saver.aput(config, cp, md, {})
+
+
+async def test_delete_for_runs_single(saver: BaseCheckpointSaver) -> None:
+    """One run_id removed."""
+    tid = str(uuid4())
+    run1, run2 = str(uuid4()), str(uuid4())
+
+    stored1 = await _put_with_run_id(saver, tid, run1)
+    await _put_with_run_id(saver, tid, run2, parent_config=stored1)
+
+    # Pre-delete: verify both runs exist
+    pre_results = []
+    async for tup in saver.alist(generate_config(tid)):
+        pre_results.append(tup)
+    pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+    assert run1 in pre_run_ids, "Pre-delete: run1 should exist"
+    assert run2 in pre_run_ids, "Pre-delete: run2 should exist"
+
+    await saver.adelete_for_runs([run1])
+    # run1's checkpoint should be gone; run2 should remain
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    run_ids = {t.metadata.get("run_id") for t in results}
+    assert run1 not in run_ids
+    assert run2 in run_ids
+
+
+async def test_delete_for_runs_multiple(saver: BaseCheckpointSaver) -> None:
+    """List of run_ids removed."""
+    tid = str(uuid4())
+    run1, run2, run3 = str(uuid4()), str(uuid4()), str(uuid4())
+
+    s1 = await _put_with_run_id(saver, tid, run1)
+    s2 = await _put_with_run_id(saver, tid, run2, parent_config=s1)
+    await _put_with_run_id(saver, tid, run3, parent_config=s2)
+
+    # Pre-delete: verify all 3 runs exist
+    pre_results = []
+    async for tup in saver.alist(generate_config(tid)):
+        pre_results.append(tup)
+    pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+    assert run1 in pre_run_ids, "Pre-delete: run1 should exist"
+    assert run2 in pre_run_ids, "Pre-delete: run2 should exist"
+    assert run3 in pre_run_ids, "Pre-delete: run3 should exist"
+
+    await saver.adelete_for_runs([run1, run2])
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    run_ids = {t.metadata.get("run_id") for t in results}
+    assert run1 not in run_ids
+    assert run2 not in run_ids
+    assert run3 in run_ids
+
+
+async def test_delete_for_runs_preserves_other_runs(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Unrelated runs untouched."""
+    tid = str(uuid4())
+    run_keep = str(uuid4())
+    run_delete = str(uuid4())
+
+    await _put_with_run_id(saver, tid, run_keep)
+    await _put_with_run_id(saver, tid, run_delete)
+
+    # Pre-delete: verify both runs exist
+    pre_results = []
+    async for tup in saver.alist(generate_config(tid)):
+        pre_results.append(tup)
+    pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+    assert run_keep in pre_run_ids, "Pre-delete: run_keep should exist"
+    assert run_delete in pre_run_ids, "Pre-delete: run_delete should exist"
+
+    await saver.adelete_for_runs([run_delete])
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    run_ids = {t.metadata.get("run_id") for t in results}
+    assert run_keep in run_ids
+
+
+async def test_delete_for_runs_removes_writes(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Associated writes cleaned up."""
+    tid = str(uuid4())
+    run1 = str(uuid4())
+
+    stored = await _put_with_run_id(saver, tid, run1)
+    await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
+
+    # Pre-delete: verify writes exist
+    pre_tup = await saver.aget_tuple(stored)
+    assert pre_tup is not None, "Pre-delete: checkpoint should exist"
+    assert pre_tup.pending_writes is not None and len(pre_tup.pending_writes) == 1, (
+        f"Pre-delete: expected 1 write, got {len(pre_tup.pending_writes) if pre_tup.pending_writes else 0}"
+    )
+
+    await saver.adelete_for_runs([run1])
+    # The checkpoint (and its writes) should be gone
+    tup = await saver.aget_tuple(stored)
+    assert tup is None
+
+
+async def test_delete_for_runs_empty_list_noop(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Empty list no error."""
+    await saver.adelete_for_runs([])
+
+
+async def test_delete_for_runs_nonexistent_noop(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Missing run_ids no error."""
+    await saver.adelete_for_runs([str(uuid4())])
+
+
+async def test_delete_for_runs_across_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """All namespaces cleaned."""
+    tid = str(uuid4())
+    run1 = str(uuid4())
+
+    await _put_with_run_id(saver, tid, run1, checkpoint_ns="")
+    await _put_with_run_id(saver, tid, run1, checkpoint_ns="child:1")
+
+    # Pre-delete: verify run1 present in both namespaces
+    for ns in ["", "child:1"]:
+        pre_results = []
+        async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
+            pre_results.append(tup)
+        pre_run_ids = {t.metadata.get("run_id") for t in pre_results}
+        assert run1 in pre_run_ids, f"Pre-delete: run1 should exist in ns='{ns}'"
+
+    await saver.adelete_for_runs([run1])
+    for ns in ["", "child:1"]:
+        results = []
+        async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
+            results.append(tup)
+        run_ids = {t.metadata.get("run_id") for t in results}
+        assert run1 not in run_ids
+
+
+ALL_DELETE_FOR_RUNS_TESTS = [
+    test_delete_for_runs_single,
+    test_delete_for_runs_multiple,
+    test_delete_for_runs_preserves_other_runs,
+    test_delete_for_runs_removes_writes,
+    test_delete_for_runs_empty_list_noop,
+    test_delete_for_runs_nonexistent_noop,
+    test_delete_for_runs_across_namespaces,
+]
+
+
+async def run_delete_for_runs_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all delete_for_runs tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_DELETE_FOR_RUNS_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("delete_for_runs", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "delete_for_runs", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_thread.py

@@ -0,0 +1,149 @@
+"""DELETE_THREAD capability tests — adelete_thread."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_delete_thread_removes_checkpoints(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """All checkpoints gone after delete."""
+    tid = str(uuid4())
+    parent_cfg = None
+    for i in range(3):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
+
+    # Pre-delete: verify data exists
+    assert await saver.aget_tuple(generate_config(tid)) is not None, (
+        "Pre-delete: checkpoint should exist"
+    )
+
+    await saver.adelete_thread(tid)
+
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is None
+
+    results = []
+    async for t in saver.alist(generate_config(tid)):
+        results.append(t)
+    assert len(results) == 0
+
+
+async def test_delete_thread_removes_writes(saver: BaseCheckpointSaver) -> None:
+    """Pending writes gone after delete."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+    await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
+
+    # Pre-delete: verify writes exist
+    pre_tup = await saver.aget_tuple(generate_config(tid))
+    assert pre_tup is not None, "Pre-delete: checkpoint should exist"
+    assert pre_tup.pending_writes is not None and len(pre_tup.pending_writes) == 1, (
+        f"Pre-delete: expected 1 write, got {len(pre_tup.pending_writes) if pre_tup.pending_writes else 0}"
+    )
+
+    await saver.adelete_thread(tid)
+
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is None
+
+
+async def test_delete_thread_removes_all_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Root + child namespaces both removed."""
+    tid = str(uuid4())
+
+    for ns in ["", "child:1"]:
+        cfg = generate_config(tid, checkpoint_ns=ns)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(), {})
+
+    # Pre-delete: verify each namespace has data
+    for ns in ["", "child:1"]:
+        pre = await saver.aget_tuple(generate_config(tid, checkpoint_ns=ns))
+        assert pre is not None, f"Pre-delete: namespace '{ns}' should have data"
+
+    await saver.adelete_thread(tid)
+
+    for ns in ["", "child:1"]:
+        tup = await saver.aget_tuple(generate_config(tid, checkpoint_ns=ns))
+        assert tup is None
+
+
+async def test_delete_thread_preserves_other_threads(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Other threads untouched."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+
+    for tid in (tid1, tid2):
+        cfg = generate_config(tid)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(), {})
+
+    await saver.adelete_thread(tid1)
+
+    assert await saver.aget_tuple(generate_config(tid1)) is None
+    assert await saver.aget_tuple(generate_config(tid2)) is not None
+
+
+async def test_delete_thread_nonexistent_noop(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """No error for missing thread."""
+    # Should not raise
+    await saver.adelete_thread(str(uuid4()))
+
+
+ALL_DELETE_THREAD_TESTS = [
+    test_delete_thread_removes_checkpoints,
+    test_delete_thread_removes_writes,
+    test_delete_thread_removes_all_namespaces,
+    test_delete_thread_preserves_other_threads,
+    test_delete_thread_nonexistent_noop,
+]
+
+
+async def run_delete_thread_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all delete_thread tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_DELETE_THREAD_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("delete_thread", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "delete_thread", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_get_tuple.py

@@ -0,0 +1,253 @@
+"""GET_TUPLE capability tests — aget_tuple retrieval."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_get_tuple_nonexistent_returns_none(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Missing thread returns None."""
+    config = generate_config(str(uuid4()))
+    tup = await saver.aget_tuple(config)
+    assert tup is None
+
+
+async def test_get_tuple_latest_when_no_checkpoint_id(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Returns newest checkpoint when no checkpoint_id in config."""
+    tid = str(uuid4())
+    ids = []
+    parent_cfg = None
+    for i in range(3):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
+        ids.append(cp["id"])
+
+    # Get without checkpoint_id — should return the latest
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is not None
+    assert tup.checkpoint["id"] == ids[-1]
+    assert tup.metadata["step"] == 2, (
+        f"Expected latest step=2, got {tup.metadata['step']}"
+    )
+
+
+async def test_get_tuple_specific_checkpoint_id(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Returns exact match when checkpoint_id specified."""
+    tid = str(uuid4())
+
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
+
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    # Fetch the first one specifically
+    tup = await saver.aget_tuple(stored1)
+    assert tup is not None
+    assert tup.checkpoint["id"] == cp1["id"]
+
+
+async def test_get_tuple_config_structure(saver: BaseCheckpointSaver) -> None:
+    """tuple.config has thread_id, checkpoint_ns, checkpoint_id."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    conf = tup.config["configurable"]
+    assert conf["thread_id"] == tid
+    assert conf.get("checkpoint_ns", "") == "", (
+        f"Expected checkpoint_ns='', got {conf.get('checkpoint_ns')!r}"
+    )
+    assert conf["checkpoint_id"] == cp["id"]
+
+
+async def test_get_tuple_checkpoint_fields(saver: BaseCheckpointSaver) -> None:
+    """All Checkpoint fields present."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint(channel_values={"k": "v"})
+    cp["channel_versions"] = {"k": 1}
+    stored = await saver.aput(config, cp, generate_metadata(), {"k": 1})
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    c = tup.checkpoint
+    assert c["id"] == cp["id"], f"id mismatch: {c['id']!r} != {cp['id']!r}"
+    assert c["v"] == 1, f"Expected v=1, got {c['v']!r}"
+    assert "ts" in c and c["ts"], "ts should be non-empty"
+    assert c["channel_values"] == {"k": "v"}, f"channel_values: {c['channel_values']!r}"
+    assert "channel_versions" in c
+    assert "versions_seen" in c
+
+
+async def test_get_tuple_metadata(saver: BaseCheckpointSaver) -> None:
+    """metadata populated correctly."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    md = generate_metadata(source="input", step=-1)
+    stored = await saver.aput(config, cp, md, {})
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.metadata["source"] == "input"
+    assert tup.metadata["step"] == -1
+
+
+async def test_get_tuple_parent_config(saver: BaseCheckpointSaver) -> None:
+    """parent_config when parent exists, None otherwise."""
+    tid = str(uuid4())
+
+    # First checkpoint — no parent
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
+
+    tup1 = await saver.aget_tuple(stored1)
+    assert tup1 is not None
+    assert tup1.parent_config is None
+
+    # Second checkpoint — has parent
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.parent_config is not None
+    assert (
+        tup2.parent_config["configurable"]["checkpoint_id"]
+        == stored1["configurable"]["checkpoint_id"]
+    )
+
+
+async def test_get_tuple_pending_writes(saver: BaseCheckpointSaver) -> None:
+    """pending_writes from put_writes visible."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected 1 write, got {len(tup.pending_writes)}"
+    )
+    assert tup.pending_writes[0][0] == task_id, (
+        f"task_id mismatch: {tup.pending_writes[0][0]!r}"
+    )
+    assert tup.pending_writes[0][1] == "ch", (
+        f"channel mismatch: {tup.pending_writes[0][1]!r}"
+    )
+    assert tup.pending_writes[0][2] == "val", (
+        f"value mismatch: {tup.pending_writes[0][2]!r}"
+    )
+
+
+async def test_get_tuple_respects_namespace(saver: BaseCheckpointSaver) -> None:
+    """checkpoint_ns filtering."""
+    tid = str(uuid4())
+
+    cfg_root = generate_config(tid, checkpoint_ns="")
+    cp_root = generate_checkpoint()
+    stored_root = await saver.aput(cfg_root, cp_root, generate_metadata(), {})
+
+    cfg_child = generate_config(tid, checkpoint_ns="child:1")
+    cp_child = generate_checkpoint()
+    stored_child = await saver.aput(cfg_child, cp_child, generate_metadata(), {})
+
+    tup_root = await saver.aget_tuple(stored_root)
+    assert tup_root is not None
+    assert tup_root.checkpoint["id"] == cp_root["id"]
+
+    tup_child = await saver.aget_tuple(stored_child)
+    assert tup_child is not None
+    assert tup_child.checkpoint["id"] == cp_child["id"]
+
+
+async def test_get_tuple_nonexistent_checkpoint_id(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Specific but missing checkpoint_id returns None."""
+    tid = str(uuid4())
+    nonexistent_id = str(uuid4())
+    # Put one checkpoint so the thread exists
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    await saver.aput(config, cp, generate_metadata(), {})
+
+    # Ask for a non-existent checkpoint_id
+    bad_cfg = generate_config(tid, checkpoint_id=nonexistent_id)
+    tup = await saver.aget_tuple(bad_cfg)
+    assert tup is None
+
+
+ALL_GET_TUPLE_TESTS = [
+    test_get_tuple_nonexistent_returns_none,
+    test_get_tuple_latest_when_no_checkpoint_id,
+    test_get_tuple_specific_checkpoint_id,
+    test_get_tuple_config_structure,
+    test_get_tuple_checkpoint_fields,
+    test_get_tuple_metadata,
+    test_get_tuple_parent_config,
+    test_get_tuple_pending_writes,
+    test_get_tuple_respects_namespace,
+    test_get_tuple_nonexistent_checkpoint_id,
+]
+
+
+async def run_get_tuple_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all get_tuple tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_GET_TUPLE_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("get_tuple", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "get_tuple", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_list.py

@@ -0,0 +1,414 @@
+"""LIST capability tests — alist with various filters."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _setup_list_data(saver: BaseCheckpointSaver) -> dict:
+    """Populate saver with test data for list tests. Returns lookup info."""
+    tid = str(uuid4())
+    ids = []
+    parent_cfg = None
+    for i in range(4):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        source = "input" if i % 2 == 0 else "loop"
+        md = generate_metadata(source=source, step=i)
+        parent_cfg = await saver.aput(config, cp, md, {})
+        ids.append(cp["id"])
+
+    return {
+        "thread_id": tid,
+        "checkpoint_ids": ids,
+        "latest_config": parent_cfg,
+    }
+
+
+async def test_list_all(saver: BaseCheckpointSaver) -> None:
+    """No filters returns all checkpoints for the thread."""
+    data = await _setup_list_data(saver)
+    tid = data["thread_id"]
+
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    assert len(results) == 4
+
+
+async def test_list_by_thread(saver: BaseCheckpointSaver) -> None:
+    """Filter by thread_id — other threads not returned."""
+    data = await _setup_list_data(saver)
+
+    # List for a non-existent thread
+    results = []
+    async for tup in saver.alist(generate_config(str(uuid4()))):
+        results.append(tup)
+    assert len(results) == 0
+
+    # List for actual thread
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"])):
+        results.append(tup)
+    assert len(results) == 4
+
+
+async def test_list_by_namespace(saver: BaseCheckpointSaver) -> None:
+    """Filter by checkpoint_ns."""
+    tid = str(uuid4())
+
+    # Root namespace
+    cfg1 = generate_config(tid, checkpoint_ns="")
+    cp1 = generate_checkpoint()
+    await saver.aput(cfg1, cp1, generate_metadata(), {})
+
+    # Child namespace
+    cfg2 = generate_config(tid, checkpoint_ns="child:1")
+    cp2 = generate_checkpoint()
+    await saver.aput(cfg2, cp2, generate_metadata(), {})
+
+    root_results = []
+    async for tup in saver.alist(generate_config(tid, checkpoint_ns="")):
+        root_results.append(tup)
+    assert len(root_results) == 1
+
+    child_results = []
+    async for tup in saver.alist(generate_config(tid, checkpoint_ns="child:1")):
+        child_results.append(tup)
+    assert len(child_results) == 1
+
+
+async def test_list_ordering(saver: BaseCheckpointSaver) -> None:
+    """Newest first (descending checkpoint_id)."""
+    data = await _setup_list_data(saver)
+    ids = data["checkpoint_ids"]
+
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"])):
+        results.append(tup.checkpoint["id"])
+
+    # Should be in reverse order (newest first)
+    assert results == list(reversed(ids))
+
+
+async def test_list_metadata_filter_single_key(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """filter={'source': 'input'} returns only input checkpoints."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"source": "input"},
+    ):
+        results.append(tup)
+
+    assert len(results) == 2, (
+        f"Expected 2 'input' checkpoints (steps 0,2), got {len(results)}"
+    )
+    for tup in results:
+        assert tup.metadata["source"] == "input"
+
+
+async def test_list_metadata_filter_step(saver: BaseCheckpointSaver) -> None:
+    """filter={'step': 1} returns matching checkpoints."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"step": 1},
+    ):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].metadata["step"] == 1
+
+
+async def test_list_before(saver: BaseCheckpointSaver) -> None:
+    """Pagination cursor — only checkpoints before the given one."""
+    data = await _setup_list_data(saver)
+    ids = data["checkpoint_ids"]
+
+    # Use the 3rd checkpoint as the 'before' cursor (index 2)
+    before_cfg = generate_config(data["thread_id"], checkpoint_id=ids[2])
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        before=before_cfg,
+    ):
+        results.append(tup)
+
+    # Should only include checkpoints before ids[2]
+    result_ids = [t.checkpoint["id"] for t in results]
+    assert ids[2] not in result_ids
+    assert ids[3] not in result_ids
+    assert set(result_ids) == {ids[0], ids[1]}, (
+        f"Expected {{ids[0], ids[1]}}, got {set(result_ids)}"
+    )
+
+
+async def test_list_limit(saver: BaseCheckpointSaver) -> None:
+    """limit=1, limit=N."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"]), limit=1):
+        results.append(tup)
+    assert len(results) == 1
+
+    results = []
+    async for tup in saver.alist(generate_config(data["thread_id"]), limit=2):
+        results.append(tup)
+    assert len(results) == 2
+
+
+async def test_list_limit_plus_before(saver: BaseCheckpointSaver) -> None:
+    """Pagination with limit."""
+    data = await _setup_list_data(saver)
+    ids = data["checkpoint_ids"]
+
+    before_cfg = generate_config(data["thread_id"], checkpoint_id=ids[3])
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        before=before_cfg,
+        limit=1,
+    ):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].checkpoint["id"] == ids[2]
+
+
+async def test_list_combined_thread_and_filter(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """thread_id + metadata filter combined."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"source": "loop"},
+    ):
+        results.append(tup)
+
+    assert len(results) == 2, (
+        f"Expected 2 'loop' checkpoints (steps 1,3), got {len(results)}"
+    )
+    for tup in results:
+        assert tup.metadata["source"] == "loop"
+
+
+async def test_list_empty_result(saver: BaseCheckpointSaver) -> None:
+    """No matches returns empty."""
+    results = []
+    async for tup in saver.alist(
+        generate_config(str(uuid4())),
+        filter={"source": "nonexistent"},
+    ):
+        results.append(tup)
+    assert len(results) == 0
+
+
+async def test_list_includes_pending_writes(saver: BaseCheckpointSaver) -> None:
+    """pending_writes in listed tuples."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    await saver.aput_writes(stored, [("ch", "val")], str(uuid4()))
+
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].pending_writes is not None
+    assert len(results[0].pending_writes) == 1, (
+        f"Expected 1 write, got {len(results[0].pending_writes)}"
+    )
+    assert results[0].pending_writes[0][1] == "ch", (
+        f"channel mismatch: {results[0].pending_writes[0][1]!r}"
+    )
+    assert results[0].pending_writes[0][2] == "val", (
+        f"value mismatch: {results[0].pending_writes[0][2]!r}"
+    )
+
+
+async def test_list_multiple_namespaces(saver: BaseCheckpointSaver) -> None:
+    """Root namespace checkpoint listed correctly."""
+    tid = str(uuid4())
+
+    for ns in ["", "child:1", "child:2"]:
+        cfg = generate_config(tid, checkpoint_ns=ns)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(), {})
+
+    # List with root namespace filter — should return exactly the root checkpoint
+    results = []
+    async for tup in saver.alist(generate_config(tid, checkpoint_ns="")):
+        results.append(tup)
+    assert len(results) == 1, f"Expected 1 root checkpoint, got {len(results)}"
+
+
+async def test_list_metadata_filter_multiple_keys(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """filter with multiple keys — all must match."""
+    tid = str(uuid4())
+
+    # Create checkpoints with different metadata combos
+    for source, step in [("input", 1), ("loop", 1), ("input", 2)]:
+        cfg = generate_config(tid)
+        cp = generate_checkpoint()
+        await saver.aput(cfg, cp, generate_metadata(source=source, step=step), {})
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(tid),
+        filter={"source": "input", "step": 2},
+    ):
+        results.append(tup)
+
+    assert len(results) == 1, (
+        f"Expected 1 match for source=input+step=2, got {len(results)}"
+    )
+    assert results[0].metadata["source"] == "input"
+    assert results[0].metadata["step"] == 2
+
+
+async def test_list_metadata_filter_no_match(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Multi-key filter that matches nothing returns empty."""
+    data = await _setup_list_data(saver)
+
+    results = []
+    async for tup in saver.alist(
+        generate_config(data["thread_id"]),
+        filter={"source": "update", "step": 99},
+    ):
+        results.append(tup)
+
+    assert len(results) == 0
+
+
+async def test_list_metadata_custom_keys(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Custom (non-standard) metadata keys are filterable."""
+    tid = str(uuid4())
+
+    cfg = generate_config(tid)
+    cp = generate_checkpoint()
+    await saver.aput(cfg, cp, generate_metadata(score=42, run_id="run-abc"), {})
+
+    cfg2 = generate_config(tid)
+    cp2 = generate_checkpoint()
+    await saver.aput(cfg2, cp2, generate_metadata(score=99, run_id="run-xyz"), {})
+
+    # Filter by custom key
+    results = []
+    async for tup in saver.alist(
+        generate_config(tid),
+        filter={"score": 42},
+    ):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert results[0].metadata["score"] == 42
+    assert results[0].metadata["run_id"] == "run-abc"
+
+
+async def test_list_global_search(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """alist(None, filter=...) searches across all threads."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+
+    # Use a unique marker so we don't collide with other tests' data
+    marker = str(uuid4())
+
+    cfg1 = generate_config(tid1)
+    cp1 = generate_checkpoint()
+    await saver.aput(cfg1, cp1, generate_metadata(source="input", marker=marker), {})
+
+    cfg2 = generate_config(tid2)
+    cp2 = generate_checkpoint()
+    await saver.aput(cfg2, cp2, generate_metadata(source="loop", marker=marker), {})
+
+    # Search across all threads with filter
+    results = []
+    async for tup in saver.alist(None, filter={"source": "input", "marker": marker}):
+        results.append(tup)
+    assert len(results) == 1
+    assert results[0].config["configurable"]["thread_id"] == tid1
+
+    # Search with marker only — should find both
+    results = []
+    async for tup in saver.alist(None, filter={"marker": marker}):
+        results.append(tup)
+    assert len(results) == 2
+
+
+ALL_LIST_TESTS = [
+    test_list_all,
+    test_list_by_thread,
+    test_list_by_namespace,
+    test_list_ordering,
+    test_list_metadata_filter_single_key,
+    test_list_metadata_filter_step,
+    test_list_metadata_filter_multiple_keys,
+    test_list_metadata_filter_no_match,
+    test_list_metadata_custom_keys,
+    test_list_global_search,
+    test_list_before,
+    test_list_limit,
+    test_list_limit_plus_before,
+    test_list_combined_thread_and_filter,
+    test_list_empty_result,
+    test_list_includes_pending_writes,
+    test_list_multiple_namespaces,
+]
+
+
+async def run_list_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all list tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_LIST_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("list", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result("list", test_fn.__name__, False, traceback.format_exc())
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_prune.py

@@ -0,0 +1,217 @@
+"""PRUNE capability tests — aprune(strategy)."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def _setup_thread(saver: BaseCheckpointSaver, tid: str, n: int = 3) -> list[dict]:
+    """Create n checkpoints on tid. Returns stored configs."""
+    stored = []
+    parent_cfg = None
+    for i in range(n):
+        config = generate_config(tid)
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent_cfg = await saver.aput(config, cp, generate_metadata(step=i), {})
+        stored.append(parent_cfg)
+    return stored
+
+
+async def test_prune_keep_latest_single_thread(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Only latest checkpoint survives."""
+    tid = str(uuid4())
+    configs = await _setup_thread(saver, tid, n=4)
+
+    await saver.aprune([tid], strategy="keep_latest")
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+
+    assert len(results) == 1
+    assert (
+        results[0].config["configurable"]["checkpoint_id"]
+        == configs[-1]["configurable"]["checkpoint_id"]
+    )
+
+
+async def test_prune_keep_latest_multiple_threads(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Each thread keeps its latest."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+    c1 = await _setup_thread(saver, tid1, n=3)
+    c2 = await _setup_thread(saver, tid2, n=2)
+
+    await saver.aprune([tid1, tid2], strategy="keep_latest")
+    for tid, expected_last in [(tid1, c1[-1]), (tid2, c2[-1])]:
+        results = []
+        async for tup in saver.alist(generate_config(tid)):
+            results.append(tup)
+        assert len(results) == 1
+        assert (
+            results[0].config["configurable"]["checkpoint_id"]
+            == expected_last["configurable"]["checkpoint_id"]
+        )
+
+
+async def test_prune_keep_latest_across_namespaces(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Latest per namespace kept."""
+    tid = str(uuid4())
+
+    # Root namespace: 3 checkpoints
+    parent = None
+    for i in range(3):
+        cfg = generate_config(tid, checkpoint_ns="")
+        if parent:
+            cfg["configurable"]["checkpoint_id"] = parent["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent = await saver.aput(cfg, cp, generate_metadata(step=i), {})
+    root_latest = parent
+
+    # Child namespace: 2 checkpoints
+    parent = None
+    for i in range(2):
+        cfg = generate_config(tid, checkpoint_ns="child:1")
+        if parent:
+            cfg["configurable"]["checkpoint_id"] = parent["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        parent = await saver.aput(cfg, cp, generate_metadata(step=i), {})
+    child_latest = parent
+
+    assert root_latest is not None
+    assert child_latest is not None
+    await saver.aprune([tid], strategy="keep_latest")
+    for ns, expected in [("", root_latest), ("child:1", child_latest)]:
+        results = []
+        async for tup in saver.alist(generate_config(tid, checkpoint_ns=ns)):
+            results.append(tup)
+        assert len(results) == 1
+        assert (
+            results[0].config["configurable"]["checkpoint_id"]
+            == expected["configurable"]["checkpoint_id"]
+        )
+
+
+async def test_prune_keep_latest_preserves_writes(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Latest checkpoint's writes kept."""
+    tid = str(uuid4())
+    configs = await _setup_thread(saver, tid, n=3)
+
+    # Add writes to the latest
+    await saver.aput_writes(configs[-1], [("ch", "val")], str(uuid4()))
+
+    await saver.aprune([tid], strategy="keep_latest")
+    tup = await saver.aget_tuple(generate_config(tid))
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected 1 write, got {len(tup.pending_writes)}"
+    )
+    assert tup.pending_writes[0][1] == "ch", (
+        f"channel mismatch: {tup.pending_writes[0][1]!r}"
+    )
+    assert tup.pending_writes[0][2] == "val", (
+        f"value mismatch: {tup.pending_writes[0][2]!r}"
+    )
+
+
+async def test_prune_delete_all(saver: BaseCheckpointSaver) -> None:
+    """delete_all strategy removes everything."""
+    tid = str(uuid4())
+    await _setup_thread(saver, tid, n=3)
+
+    await saver.aprune([tid], strategy="delete")
+    results = []
+    async for tup in saver.alist(generate_config(tid)):
+        results.append(tup)
+    assert len(results) == 0
+
+
+async def test_prune_preserves_other_threads(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Unlisted threads untouched."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+    await _setup_thread(saver, tid1, n=3)
+    await _setup_thread(saver, tid2, n=2)
+
+    # Snapshot tid2 before prune
+    pre_ids = []
+    async for tup in saver.alist(generate_config(tid2)):
+        pre_ids.append(tup.checkpoint["id"])
+
+    await saver.aprune([tid1], strategy="keep_latest")
+    # tid2 should be fully intact — same checkpoint IDs
+    post_ids = []
+    async for tup in saver.alist(generate_config(tid2)):
+        post_ids.append(tup.checkpoint["id"])
+    assert post_ids == pre_ids, f"tid2 changed: {pre_ids} -> {post_ids}"
+
+
+async def test_prune_empty_list_noop(saver: BaseCheckpointSaver) -> None:
+    """Empty thread_ids no error."""
+    await saver.aprune([], strategy="keep_latest")
+
+
+async def test_prune_nonexistent_noop(saver: BaseCheckpointSaver) -> None:
+    """Missing threads no error."""
+    await saver.aprune([str(uuid4())], strategy="keep_latest")
+
+
+ALL_PRUNE_TESTS = [
+    test_prune_keep_latest_single_thread,
+    test_prune_keep_latest_multiple_threads,
+    test_prune_keep_latest_across_namespaces,
+    test_prune_keep_latest_preserves_writes,
+    test_prune_delete_all,
+    test_prune_preserves_other_threads,
+    test_prune_empty_list_noop,
+    test_prune_nonexistent_noop,
+]
+
+
+async def run_prune_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all prune tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_PRUNE_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("prune", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result("prune", test_fn.__name__, False, traceback.format_exc())
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put.py

@@ -0,0 +1,411 @@
+"""PUT capability tests — aput + aget_tuple round-trip."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from typing import Any
+from uuid import uuid4
+
+from langgraph.checkpoint.base import (
+    BaseCheckpointSaver,
+    ChannelVersions,
+)
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_put_returns_config(saver: BaseCheckpointSaver) -> None:
+    """aput returns a RunnableConfig with thread_id, checkpoint_ns, checkpoint_id."""
+    config = generate_config()
+    cp = generate_checkpoint(channel_values={"k": "v"})
+    cp["channel_versions"] = {"k": 1}
+    md = generate_metadata()
+
+    result = await saver.aput(config, cp, md, {"k": 1})
+
+    assert "configurable" in result
+    conf = result["configurable"]
+    assert "thread_id" in conf
+    assert "checkpoint_ns" in conf
+    assert "checkpoint_id" in conf
+    assert conf["checkpoint_id"] == cp["id"]
+
+
+async def test_put_roundtrip(saver: BaseCheckpointSaver) -> None:
+    """put then get_tuple returns identical checkpoint."""
+    config = generate_config()
+    cp = generate_checkpoint(channel_values={"msg": "hello"})
+    cp["channel_versions"] = {"msg": 1}
+    md = generate_metadata(source="input", step=-1)
+
+    stored_config = await saver.aput(config, cp, md, {"msg": 1})
+
+    tup = await saver.aget_tuple(stored_config)
+    assert tup is not None
+    assert tup.checkpoint["id"] == cp["id"]
+    assert tup.checkpoint["channel_values"] == {"msg": "hello"}
+
+
+async def test_put_preserves_channel_values(saver: BaseCheckpointSaver) -> None:
+    """Various types (str, int, list, dict, bytes, None) round-trip correctly."""
+    values: dict[str, Any] = {
+        "str_val": "hello",
+        "int_val": 42,
+        "list_val": [1, 2, 3],
+        "dict_val": {"nested": True},
+    }
+    config = generate_config()
+    cp = generate_checkpoint(channel_values=values)
+    versions: ChannelVersions = {k: 1 for k in values}
+    cp["channel_versions"] = versions
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, versions)
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    for k, v in values.items():
+        assert tup.checkpoint["channel_values"].get(k) == v, (
+            f"channel_values[{k}]: expected {v!r}, got {tup.checkpoint['channel_values'].get(k)!r}"
+        )
+
+
+async def test_put_preserves_channel_versions(saver: BaseCheckpointSaver) -> None:
+    """ChannelVersions round-trip correctly."""
+    versions: ChannelVersions = {"a": 1, "b": 2}
+    config = generate_config()
+    cp = generate_checkpoint(
+        channel_values={"a": "x", "b": "y"}, channel_versions=versions
+    )
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, versions)
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    # Compare version values — checkpointers may convert int to str
+    for k, expected in versions.items():
+        actual = tup.checkpoint["channel_versions"].get(k)
+        assert actual is not None, f"channel_versions[{k}] missing"
+        assert str(actual).split(".")[0] == str(expected).split(".")[0], (
+            f"channel_versions[{k}]: expected {expected!r}, got {actual!r}"
+        )
+
+
+async def test_put_preserves_versions_seen(saver: BaseCheckpointSaver) -> None:
+    """versions_seen dict round-trips."""
+    vs: dict[str, ChannelVersions] = {"node1": {"ch": 1}, "node2": {"ch": 2}}
+    config = generate_config()
+    cp = generate_checkpoint(versions_seen=vs)
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    for node in vs:
+        assert node in tup.checkpoint["versions_seen"], f"versions_seen[{node}] missing"
+
+
+async def test_put_preserves_metadata(saver: BaseCheckpointSaver) -> None:
+    """Metadata source, step, parents, and custom keys round-trip."""
+    md = generate_metadata(source="loop", step=3, custom_key="custom_value")
+    config = generate_config()
+    cp = generate_checkpoint()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.metadata["source"] == "loop"
+    assert tup.metadata["step"] == 3
+    assert tup.metadata.get("custom_key") == "custom_value"
+
+
+async def test_put_root_namespace(saver: BaseCheckpointSaver) -> None:
+    """checkpoint_ns='' works."""
+    config = generate_config(checkpoint_ns="")
+    cp = generate_checkpoint()
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.config["configurable"].get("checkpoint_ns", "") == ""
+
+
+async def test_put_child_namespace(saver: BaseCheckpointSaver) -> None:
+    """checkpoint_ns='child:abc' works."""
+    config = generate_config(checkpoint_ns="child:abc")
+    cp = generate_checkpoint()
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.config["configurable"]["checkpoint_ns"] == "child:abc"
+
+
+async def test_put_default_namespace(saver: BaseCheckpointSaver) -> None:
+    """Config without checkpoint_ns defaults to ''."""
+    tid = str(uuid4())
+    config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
+    cp = generate_checkpoint()
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+
+
+async def test_put_multiple_checkpoints_same_thread(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Sequential puts on same thread, all retrievable."""
+    tid = str(uuid4())
+    ids = []
+    parent_cfg = None
+    for i in range(3):
+        config = generate_config(tid)
+        if parent_cfg is not None:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cp = generate_checkpoint()
+        md = generate_metadata(step=i)
+        parent_cfg = await saver.aput(config, cp, md, {})
+        ids.append(cp["id"])
+
+    # All three should be retrievable
+    for cid in ids:
+        cfg = generate_config(tid, checkpoint_id=cid)
+        tup = await saver.aget_tuple(cfg)
+        assert tup is not None, f"checkpoint {cid} not found"
+        assert tup.checkpoint["id"] == cid
+
+
+async def test_put_multiple_threads_isolated(saver: BaseCheckpointSaver) -> None:
+    """Different thread_ids don't interfere."""
+    tid1, tid2 = str(uuid4()), str(uuid4())
+
+    config1 = generate_config(tid1)
+    cp1 = generate_checkpoint(channel_values={"x": "thread1"})
+    cp1["channel_versions"] = {"x": 1}
+    await saver.aput(config1, cp1, generate_metadata(), {"x": 1})
+
+    config2 = generate_config(tid2)
+    cp2 = generate_checkpoint(channel_values={"x": "thread2"})
+    cp2["channel_versions"] = {"x": 1}
+    await saver.aput(config2, cp2, generate_metadata(), {"x": 1})
+
+    tup1 = await saver.aget_tuple(generate_config(tid1))
+    tup2 = await saver.aget_tuple(generate_config(tid2))
+    assert tup1 is not None and tup2 is not None
+    assert tup1.checkpoint["channel_values"]["x"] == "thread1"
+    assert tup2.checkpoint["channel_values"]["x"] == "thread2"
+
+
+async def test_put_parent_config(saver: BaseCheckpointSaver) -> None:
+    """parent checkpoint_id tracked correctly."""
+    tid = str(uuid4())
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {})
+
+    # Second checkpoint — its config carries the parent checkpoint_id
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    tup = await saver.aget_tuple(stored2)
+    assert tup is not None
+    assert tup.parent_config is not None
+    assert (
+        tup.parent_config["configurable"]["checkpoint_id"]
+        == stored1["configurable"]["checkpoint_id"]
+    )
+
+
+async def test_put_incremental_channel_update(saver: BaseCheckpointSaver) -> None:
+    """Only updated channels need new blobs; unchanged channels loaded from prior versions."""
+    tid = str(uuid4())
+
+    # Checkpoint 1: both channels are new
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint(
+        channel_values={"a": "v1", "b": "v2"},
+        channel_versions={"a": 1, "b": 1},
+    )
+    stored1 = await saver.aput(
+        config1, cp1, generate_metadata(step=0), {"a": 1, "b": 1}
+    )
+
+    # Checkpoint 2: only 'a' is updated
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint(
+        channel_values={"a": "v1_updated", "b": "v2"},
+        channel_versions={"a": 2, "b": 1},
+    )
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"a": 2})
+
+    # cp2 should reconstruct full channel_values from blobs at mixed versions
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.checkpoint["channel_values"].get("a") == "v1_updated", (
+        f"a: expected 'v1_updated', got {tup2.checkpoint['channel_values'].get('a')!r}"
+    )
+    assert tup2.checkpoint["channel_values"].get("b") == "v2", (
+        f"b: expected 'v2', got {tup2.checkpoint['channel_values'].get('b')!r}"
+    )
+
+    # cp1 should still return original values
+    tup1 = await saver.aget_tuple(stored1)
+    assert tup1 is not None
+    assert tup1.checkpoint["channel_values"].get("a") == "v1"
+    assert tup1.checkpoint["channel_values"].get("b") == "v2"
+
+
+async def test_put_new_channel_added(saver: BaseCheckpointSaver) -> None:
+    """A channel that appears for the first time in a later checkpoint."""
+    tid = str(uuid4())
+
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint(
+        channel_values={"a": "v1"},
+        channel_versions={"a": 1},
+    )
+    stored1 = await saver.aput(config1, cp1, generate_metadata(step=0), {"a": 1})
+
+    # Checkpoint 2: 'b' is brand new, 'a' is unchanged
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint(
+        channel_values={"a": "v1", "b": "new_channel"},
+        channel_versions={"a": 1, "b": 1},
+    )
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"b": 1})
+
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.checkpoint["channel_values"].get("a") == "v1", (
+        f"a: expected 'v1', got {tup2.checkpoint['channel_values'].get('a')!r}"
+    )
+    assert tup2.checkpoint["channel_values"].get("b") == "new_channel", (
+        f"b: expected 'new_channel', got {tup2.checkpoint['channel_values'].get('b')!r}"
+    )
+
+
+async def test_put_channel_removed(saver: BaseCheckpointSaver) -> None:
+    """Channel no longer in channel_versions should not appear in loaded values."""
+    tid = str(uuid4())
+
+    config1 = generate_config(tid)
+    cp1 = generate_checkpoint(
+        channel_values={"a": "v1", "b": "v2"},
+        channel_versions={"a": 1, "b": 1},
+    )
+    stored1 = await saver.aput(
+        config1, cp1, generate_metadata(step=0), {"a": 1, "b": 1}
+    )
+
+    # Checkpoint 2: 'b' dropped from channel_versions
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint(
+        channel_values={"a": "v1_updated"},
+        channel_versions={"a": 2},
+    )
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {"a": 2})
+
+    tup2 = await saver.aget_tuple(stored2)
+    assert tup2 is not None
+    assert tup2.checkpoint["channel_values"].get("a") == "v1_updated"
+    assert "b" not in tup2.checkpoint["channel_values"], (
+        f"'b' should not be present, got {tup2.checkpoint['channel_values']}"
+    )
+
+
+async def test_put_preserves_run_id(saver: BaseCheckpointSaver) -> None:
+    """run_id in metadata round-trips correctly."""
+    run_id = str(uuid4())
+    config = generate_config()
+    cp = generate_checkpoint()
+    md = generate_metadata(source="loop", step=0, run_id=run_id)
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.metadata.get("run_id") == run_id, (
+        f"run_id: expected {run_id!r}, got {tup.metadata.get('run_id')!r}"
+    )
+
+
+async def test_put_preserves_versions_seen_values(saver: BaseCheckpointSaver) -> None:
+    """versions_seen values (not just keys) round-trip correctly."""
+    vs: dict[str, ChannelVersions] = {
+        "node1": {"ch_a": 1, "ch_b": 2},
+        "node2": {"ch_a": 3},
+    }
+    config = generate_config()
+    cp = generate_checkpoint(versions_seen=vs)
+    md = generate_metadata()
+
+    stored = await saver.aput(config, cp, md, {})
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    for node, expected_versions in vs.items():
+        assert node in tup.checkpoint["versions_seen"], f"versions_seen[{node}] missing"
+        actual_versions = tup.checkpoint["versions_seen"][node]
+        for ch, expected_v in expected_versions.items():
+            actual_v = actual_versions.get(ch)
+            assert actual_v is not None, f"versions_seen[{node}][{ch}] missing"
+            assert str(actual_v).split(".")[0] == str(expected_v).split(".")[0], (
+                f"versions_seen[{node}][{ch}]: expected {expected_v!r}, got {actual_v!r}"
+            )
+
+
+ALL_PUT_TESTS = [
+    test_put_returns_config,
+    test_put_roundtrip,
+    test_put_preserves_channel_values,
+    test_put_preserves_channel_versions,
+    test_put_preserves_versions_seen,
+    test_put_preserves_metadata,
+    test_put_root_namespace,
+    test_put_child_namespace,
+    test_put_default_namespace,
+    test_put_multiple_checkpoints_same_thread,
+    test_put_multiple_threads_isolated,
+    test_put_parent_config,
+    test_put_incremental_channel_update,
+    test_put_new_channel_added,
+    test_put_channel_removed,
+    test_put_preserves_run_id,
+    test_put_preserves_versions_seen_values,
+]
+
+
+async def run_put_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all put tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_PUT_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("put", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result("put", test_fn.__name__, False, traceback.format_exc())
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put_writes.py

@@ -0,0 +1,302 @@
+"""PUT_WRITES capability tests — aput_writes + pending_writes retrieval."""
+
+from __future__ import annotations
+
+import traceback
+from collections.abc import Callable
+from uuid import uuid4
+
+from langgraph.checkpoint.base import BaseCheckpointSaver
+
+from langgraph.checkpoint.conformance.test_utils import (
+    generate_checkpoint,
+    generate_config,
+    generate_metadata,
+)
+
+
+async def test_put_writes_basic(saver: BaseCheckpointSaver) -> None:
+    """Write stored, visible in aget_tuple pending_writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("channel1", "value1")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    # Verify exact write tuple: (task_id, channel, value)
+    matching = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "channel1"]
+    assert len(matching) == 1, f"Expected 1 write, got {len(matching)}"
+    assert matching[0][2] == "value1", f"Value mismatch: {matching[0][2]!r}"
+
+
+async def test_put_writes_multiple_writes_same_task(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Multiple (channel, value) pairs in a single call."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    writes = [("ch1", "v1"), ("ch2", "v2"), ("ch3", "v3")]
+    await saver.aput_writes(stored, writes, task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 3, (
+        f"Expected 3 writes, got {len(tup.pending_writes)}"
+    )
+    channels = {w[1] for w in tup.pending_writes}
+    assert channels == {"ch1", "ch2", "ch3"}, f"Expected exact channels, got {channels}"
+    # Verify values per channel
+    for expected_ch, expected_val in writes:
+        match = [
+            w for w in tup.pending_writes if w[0] == task_id and w[1] == expected_ch
+        ]
+        assert len(match) == 1, f"Expected 1 write for {expected_ch}, got {len(match)}"
+        assert match[0][2] == expected_val, (
+            f"Value mismatch for {expected_ch}: {match[0][2]!r}"
+        )
+
+
+async def test_put_writes_multiple_tasks(saver: BaseCheckpointSaver) -> None:
+    """Different task_ids produce separate writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    t1, t2 = str(uuid4()), str(uuid4())
+    await saver.aput_writes(stored, [("ch", "from_t1")], t1)
+    await saver.aput_writes(stored, [("ch", "from_t2")], t2)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 2, (
+        f"Expected 2 writes, got {len(tup.pending_writes)}"
+    )
+    # Verify values per task
+    t1_writes = [w for w in tup.pending_writes if w[0] == t1 and w[1] == "ch"]
+    t2_writes = [w for w in tup.pending_writes if w[0] == t2 and w[1] == "ch"]
+    assert len(t1_writes) == 1, f"Expected 1 write from t1, got {len(t1_writes)}"
+    assert len(t2_writes) == 1, f"Expected 1 write from t2, got {len(t2_writes)}"
+    assert t1_writes[0][2] == "from_t1", f"t1 value: {t1_writes[0][2]!r}"
+    assert t2_writes[0][2] == "from_t2", f"t2 value: {t2_writes[0][2]!r}"
+
+
+async def test_put_writes_preserves_task_id(saver: BaseCheckpointSaver) -> None:
+    """task_id in pending_writes matches what was passed to aput_writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert any(w[0] == task_id for w in tup.pending_writes)
+
+
+async def test_put_writes_preserves_channel_and_value(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Channel name + value round-trip."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("my_channel", {"data": 123})], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    match = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "my_channel"]
+    assert len(match) == 1, f"Expected 1 write, got {len(match)}"
+    assert match[0][2] == {"data": 123}, f"Value mismatch: {match[0][2]!r}"
+
+
+async def test_put_writes_task_path(saver: BaseCheckpointSaver) -> None:
+    """task_path parameter accepted without error."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    # Should not raise
+    await saver.aput_writes(stored, [("ch", "v")], task_id, task_path="a:b:c")
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1
+
+
+async def test_put_writes_idempotent(saver: BaseCheckpointSaver) -> None:
+    """Duplicate (task_id, idx) doesn't duplicate writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+    await saver.aput_writes(stored, [("ch", "val")], task_id)
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    assert len(tup.pending_writes) == 1, (
+        f"Expected exactly 1 write total, got {len(tup.pending_writes)}"
+    )
+    # Should not have duplicated
+    matching = [w for w in tup.pending_writes if w[0] == task_id and w[1] == "ch"]
+    assert len(matching) == 1
+
+
+async def test_put_writes_special_channels(saver: BaseCheckpointSaver) -> None:
+    """ERROR and INTERRUPT channels handled correctly."""
+    from langgraph.checkpoint.serde.types import ERROR, INTERRUPT
+
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp = generate_checkpoint()
+    stored = await saver.aput(config, cp, generate_metadata(), {})
+
+    task_id = str(uuid4())
+    await saver.aput_writes(
+        stored,
+        [(ERROR, "something went wrong"), (INTERRUPT, {"reason": "human_input"})],
+        task_id,
+    )
+
+    tup = await saver.aget_tuple(stored)
+    assert tup is not None
+    assert tup.pending_writes is not None
+    channels = {w[1] for w in tup.pending_writes}
+    assert ERROR in channels
+    assert INTERRUPT in channels
+    # Verify values
+    err_writes = [w for w in tup.pending_writes if w[0] == task_id and w[1] == ERROR]
+    assert len(err_writes) == 1, f"Expected 1 ERROR write, got {len(err_writes)}"
+    assert err_writes[0][2] == "something went wrong", (
+        f"ERROR value: {err_writes[0][2]!r}"
+    )
+    int_writes = [
+        w for w in tup.pending_writes if w[0] == task_id and w[1] == INTERRUPT
+    ]
+    assert len(int_writes) == 1, f"Expected 1 INTERRUPT write, got {len(int_writes)}"
+    assert int_writes[0][2] == {"reason": "human_input"}, (
+        f"INTERRUPT value: {int_writes[0][2]!r}"
+    )
+
+
+async def test_put_writes_across_namespaces(saver: BaseCheckpointSaver) -> None:
+    """Writes isolated by checkpoint_ns."""
+    tid = str(uuid4())
+
+    # Root namespace checkpoint + write
+    cfg_root = generate_config(tid, checkpoint_ns="")
+    cp_root = generate_checkpoint()
+    stored_root = await saver.aput(cfg_root, cp_root, generate_metadata(), {})
+    root_task = str(uuid4())
+    await saver.aput_writes(stored_root, [("ch", "root_val")], root_task)
+
+    # Child namespace checkpoint + write
+    cfg_child = generate_config(tid, checkpoint_ns="child:1")
+    cp_child = generate_checkpoint()
+    stored_child = await saver.aput(cfg_child, cp_child, generate_metadata(), {})
+    child_task = str(uuid4())
+    await saver.aput_writes(stored_child, [("ch", "child_val")], child_task)
+
+    # Verify isolation — root should have exactly 1 write with root_val
+    tup_root = await saver.aget_tuple(stored_root)
+    assert tup_root is not None
+    assert tup_root.pending_writes is not None
+    root_ch = [w for w in tup_root.pending_writes if w[1] == "ch"]
+    assert len(root_ch) == 1, f"Expected 1 root write, got {len(root_ch)}"
+    assert root_ch[0][2] == "root_val", f"Root value: {root_ch[0][2]!r}"
+
+    # Child should have exactly 1 write with child_val
+    tup_child = await saver.aget_tuple(stored_child)
+    assert tup_child is not None
+    assert tup_child.pending_writes is not None
+    child_ch = [w for w in tup_child.pending_writes if w[1] == "ch"]
+    assert len(child_ch) == 1, f"Expected 1 child write, got {len(child_ch)}"
+    assert child_ch[0][2] == "child_val", f"Child value: {child_ch[0][2]!r}"
+
+
+async def test_put_writes_cleared_on_next_checkpoint(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """New checkpoint starts with fresh pending_writes."""
+    tid = str(uuid4())
+    config = generate_config(tid)
+    cp1 = generate_checkpoint()
+    stored1 = await saver.aput(config, cp1, generate_metadata(step=0), {})
+
+    await saver.aput_writes(stored1, [("ch", "old_write")], str(uuid4()))
+
+    # New checkpoint
+    config2 = generate_config(tid)
+    config2["configurable"]["checkpoint_id"] = stored1["configurable"]["checkpoint_id"]
+    cp2 = generate_checkpoint()
+    stored2 = await saver.aput(config2, cp2, generate_metadata(step=1), {})
+
+    tup = await saver.aget_tuple(stored2)
+    assert tup is not None
+    # New checkpoint should have no pending writes
+    writes = tup.pending_writes or []
+    assert len(writes) == 0
+
+
+ALL_PUT_WRITES_TESTS = [
+    test_put_writes_basic,
+    test_put_writes_multiple_writes_same_task,
+    test_put_writes_multiple_tasks,
+    test_put_writes_preserves_task_id,
+    test_put_writes_preserves_channel_and_value,
+    test_put_writes_task_path,
+    test_put_writes_idempotent,
+    test_put_writes_special_channels,
+    test_put_writes_across_namespaces,
+    test_put_writes_cleared_on_next_checkpoint,
+]
+
+
+async def run_put_writes_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all put_writes tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_PUT_WRITES_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("put_writes", test_fn.__name__, True, None)
+        except Exception as e:
+            failed += 1
+            msg = f"{test_fn.__name__}: {e}"
+            failures.append(msg)
+            if on_test_result:
+                on_test_result(
+                    "put_writes", test_fn.__name__, False, traceback.format_exc()
+                )
+    return passed, failed, failures

libs/checkpoint-conformance/langgraph/checkpoint/conformance/test_utils.py

@@ -0,0 +1,212 @@
+"""Test utilities: checkpoint generators, assertion helpers, bulk operations."""
+
+from __future__ import annotations
+
+from datetime import datetime, timezone
+from typing import Any
+from uuid import uuid4
+
+from langchain_core.runnables import RunnableConfig
+from langgraph.checkpoint.base import (
+    ChannelVersions,
+    Checkpoint,
+    CheckpointMetadata,
+    CheckpointTuple,
+)
+from langgraph.checkpoint.base.id import uuid6
+
+
+def generate_checkpoint(
+    *,
+    checkpoint_id: str | None = None,
+    channel_values: dict[str, Any] | None = None,
+    channel_versions: ChannelVersions | None = None,
+    versions_seen: dict[str, ChannelVersions] | None = None,
+) -> Checkpoint:
+    """Create a well-formed Checkpoint with sensible defaults."""
+    return Checkpoint(
+        v=1,
+        id=checkpoint_id or str(uuid6(clock_seq=-1)),
+        ts=datetime.now(timezone.utc).isoformat(),
+        channel_values=channel_values if channel_values is not None else {},
+        channel_versions=channel_versions if channel_versions is not None else {},
+        versions_seen=versions_seen if versions_seen is not None else {},
+        pending_sends=[],  # ty: ignore[invalid-key]
+        updated_channels=None,
+    )
+
+
+def generate_config(
+    thread_id: str | None = None,
+    *,
+    checkpoint_ns: str = "",
+    checkpoint_id: str | None = None,
+) -> RunnableConfig:
+    """Create a RunnableConfig targeting a specific thread / namespace / checkpoint."""
+    configurable: dict[str, Any] = {
+        "thread_id": thread_id or str(uuid4()),
+        "checkpoint_ns": checkpoint_ns,
+    }
+    if checkpoint_id is not None:
+        configurable["checkpoint_id"] = checkpoint_id
+    return {"configurable": configurable}
+
+
+def generate_metadata(
+    source: str = "loop",
+    step: int = 0,
+    **extra: Any,
+) -> CheckpointMetadata:
+    """Create CheckpointMetadata with defaults."""
+    md: dict[str, Any] = {"source": source, "step": step, "parents": {}}
+    md.update(extra)
+    return md
+
+
+async def put_test_checkpoint(
+    saver: Any,
+    *,
+    thread_id: str | None = None,
+    checkpoint_ns: str = "",
+    parent_config: RunnableConfig | None = None,
+    channel_values: dict[str, Any] | None = None,
+    channel_versions: ChannelVersions | None = None,
+    metadata: CheckpointMetadata | None = None,
+    new_versions: ChannelVersions | None = None,
+) -> RunnableConfig:
+    """Put a single test checkpoint and return the stored config.
+
+    Handles wiring up parent_config, channel_values -> new_versions, etc.
+    """
+    tid = thread_id or str(uuid4())
+    cp = generate_checkpoint(
+        channel_values=channel_values,
+        channel_versions=channel_versions,
+    )
+
+    # When channel_values are provided, ensure channel_versions + new_versions
+    # are consistent so the checkpointer stores the blobs correctly.
+    vals = channel_values or {}
+    cv = channel_versions
+    if cv is None and vals:
+        cv = {k: 1 for k in vals}
+        cp["channel_versions"] = cv
+    nv = new_versions
+    if nv is None:
+        nv = cv or {}
+
+    md = metadata or generate_metadata()
+
+    config = generate_config(tid, checkpoint_ns=checkpoint_ns)
+    if parent_config is not None:
+        config["configurable"]["checkpoint_id"] = parent_config["configurable"][
+            "checkpoint_id"
+        ]
+
+    return await saver.aput(config, cp, md, nv)
+
+
+async def put_test_checkpoints(
+    saver: Any,
+    *,
+    n_threads: int = 1,
+    n_checkpoints: int = 1,
+    namespaces: list[str] | None = None,
+    channel_values: dict[str, Any] | None = None,
+) -> list[RunnableConfig]:
+    """Convenience: put multiple checkpoints across threads/namespaces.
+
+    Returns the stored configs in insertion order.
+    """
+    nss = namespaces or [""]
+    stored: list[RunnableConfig] = []
+    for t in range(n_threads):
+        tid = f"thread-{t}"
+        for ns in nss:
+            parent: RunnableConfig | None = None
+            for _c in range(n_checkpoints):
+                cfg = await put_test_checkpoint(
+                    saver,
+                    thread_id=tid,
+                    checkpoint_ns=ns,
+                    parent_config=parent,
+                    channel_values=channel_values,
+                )
+                parent = cfg
+                stored.append(cfg)
+    return stored
+
+
+def assert_checkpoint_equal(
+    actual: Checkpoint,
+    expected: Checkpoint,
+    *,
+    check_channel_values: bool = True,
+) -> None:
+    """Assert two checkpoints are semantically equal."""
+    assert actual["v"] == expected["v"], f"v mismatch: {actual['v']} != {expected['v']}"
+    assert actual["id"] == expected["id"], (
+        f"id mismatch: {actual['id']} != {expected['id']}"
+    )
+    assert actual["channel_versions"] == expected["channel_versions"], (
+        "channel_versions mismatch"
+    )
+    assert actual["versions_seen"] == expected["versions_seen"], (
+        "versions_seen mismatch"
+    )
+    if check_channel_values:
+        assert actual["channel_values"] == expected["channel_values"], (
+            "channel_values mismatch"
+        )
+
+
+def assert_tuple_equal(
+    actual: CheckpointTuple,
+    expected: CheckpointTuple,
+    *,
+    check_writes: bool = True,
+    check_channel_values: bool = True,
+) -> None:
+    """Assert two CheckpointTuples are semantically equal."""
+    # Config
+    a_conf = actual.config["configurable"]
+    e_conf = expected.config["configurable"]
+    assert a_conf["thread_id"] == e_conf["thread_id"], (
+        f"thread_id mismatch: {a_conf['thread_id']} != {e_conf['thread_id']}"
+    )
+    assert a_conf.get("checkpoint_ns", "") == e_conf.get("checkpoint_ns", ""), (
+        "checkpoint_ns mismatch"
+    )
+    assert a_conf["checkpoint_id"] == e_conf["checkpoint_id"], "checkpoint_id mismatch"
+
+    # Checkpoint
+    assert_checkpoint_equal(
+        actual.checkpoint,
+        expected.checkpoint,
+        check_channel_values=check_channel_values,
+    )
+
+    # Metadata
+    for k, v in expected.metadata.items():
+        assert actual.metadata.get(k) == v, (
+            f"metadata[{k}] mismatch: {actual.metadata.get(k)} != {v}"
+        )
+
+    # Parent config
+    if expected.parent_config is not None:
+        assert actual.parent_config is not None, "expected parent_config, got None"
+        assert (
+            actual.parent_config["configurable"]["checkpoint_id"]
+            == expected.parent_config["configurable"]["checkpoint_id"]
+        ), "parent checkpoint_id mismatch"
+    else:
+        assert actual.parent_config is None, (
+            f"expected no parent_config, got {actual.parent_config}"
+        )
+
+    # Pending writes
+    if check_writes and expected.pending_writes is not None:
+        assert actual.pending_writes is not None
+        assert len(actual.pending_writes) == len(expected.pending_writes), (
+            f"pending_writes length mismatch: {len(actual.pending_writes)} != {len(expected.pending_writes)}"
+        )

libs/checkpoint-conformance/langgraph/checkpoint/conformance/validate.py

@@ -0,0 +1,124 @@
+"""Core conformance runner — detects capabilities, runs test suites, builds report."""
+
+from __future__ import annotations
+
+from langgraph.checkpoint.conformance.capabilities import (
+    Capability,
+    DetectedCapabilities,
+)
+from langgraph.checkpoint.conformance.initializer import RegisteredCheckpointer
+from langgraph.checkpoint.conformance.report import (
+    CapabilityReport,
+    CapabilityResult,
+    ProgressCallbacks,
+)
+from langgraph.checkpoint.conformance.spec.test_copy_thread import run_copy_thread_tests
+from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
+    run_delete_for_runs_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_delete_thread import (
+    run_delete_thread_tests,
+)
+from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
+from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
+from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
+from langgraph.checkpoint.conformance.spec.test_put import run_put_tests
+from langgraph.checkpoint.conformance.spec.test_put_writes import run_put_writes_tests
+
+# Maps capability to its runner function.
+_RUNNERS = {
+    Capability.PUT: run_put_tests,
+    Capability.PUT_WRITES: run_put_writes_tests,
+    Capability.GET_TUPLE: run_get_tuple_tests,
+    Capability.LIST: run_list_tests,
+    Capability.DELETE_THREAD: run_delete_thread_tests,
+    Capability.DELETE_FOR_RUNS: run_delete_for_runs_tests,
+    Capability.COPY_THREAD: run_copy_thread_tests,
+    Capability.PRUNE: run_prune_tests,
+}
+
+
+async def validate(
+    registered: RegisteredCheckpointer,
+    *,
+    capabilities: set[str] | None = None,
+    progress: ProgressCallbacks | None = None,
+) -> CapabilityReport:
+    """Run the validation suite against a registered checkpointer.
+
+    Args:
+        registered: A RegisteredCheckpointer (from @checkpointer_test decorator).
+        capabilities: If given, only run tests for these capability names.
+            Otherwise, auto-detect and run all applicable tests.
+        progress: Optional progress callbacks for incremental output.
+            Use ``ProgressCallbacks.default()`` for dot-style,
+            ``ProgressCallbacks.verbose()`` for per-test output, or
+            ``None`` / ``ProgressCallbacks.quiet()`` for silent mode.
+
+    Returns:
+        A CapabilityReport with per-capability results.
+    """
+    report = CapabilityReport(checkpointer_name=registered.name)
+
+    # Determine which capabilities to test.
+    caps_to_test: set[Capability]
+    if capabilities is not None:
+        caps_to_test = {Capability(c) for c in capabilities}
+    else:
+        caps_to_test = set(Capability)
+
+    async with registered.enter_lifespan():
+        for cap in Capability:
+            if cap in caps_to_test and cap.value not in registered.skip_capabilities:
+                # Create a fresh checkpointer for each capability suite.
+                async with registered.create() as saver:
+                    detected = DetectedCapabilities.from_instance(saver)
+                    is_detected = cap in detected.detected
+
+                    if not is_detected:
+                        if progress and progress.on_capability_start:
+                            progress.on_capability_start(cap.value, False)
+                        report.results[cap.value] = CapabilityResult(
+                            detected=False,
+                            passed=None,
+                            tests_skipped=1,
+                        )
+                        continue
+
+                    runner = _RUNNERS.get(cap)
+                    if runner is None:
+                        report.results[cap.value] = CapabilityResult(
+                            detected=True,
+                            passed=None,
+                            tests_skipped=1,
+                        )
+                        continue
+
+                    if progress and progress.on_capability_start:
+                        progress.on_capability_start(cap.value, True)
+
+                    passed, failed, failures = await runner(
+                        saver,
+                        on_test_result=progress.on_test_result if progress else None,
+                    )
+
+                    if progress and progress.on_capability_end:
+                        progress.on_capability_end(cap.value)
+
+                    report.results[cap.value] = CapabilityResult(
+                        detected=True,
+                        passed=failed == 0,
+                        tests_passed=passed,
+                        tests_failed=failed,
+                        failures=failures,
+                    )
+            else:
+                if progress and progress.on_capability_start:
+                    progress.on_capability_start(cap.value, False)
+                report.results[cap.value] = CapabilityResult(
+                    detected=False,
+                    passed=None,
+                    tests_skipped=1,
+                )
+
+    return report

libs/checkpoint-conformance/pyproject.toml

@@ -0,0 +1,65 @@
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[project]
+name = "langgraph-checkpoint-conformance"
+version = "0.0.1"
+description = "Conformance test suite for LangGraph checkpointer implementations."
+authors = [{name = "William FH", email = "13333726+hinthornw@users.noreply.github.com"}]
+requires-python = ">=3.10"
+readme = "README.md"
+license = "MIT"
+dependencies = [
+    "langgraph-checkpoint>=2.0.0",
+]
+
+[project.urls]
+Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-conformance"
+
+[dependency-groups]
+test = [
+  "pytest",
+  "pytest-asyncio",
+]
+lint = [
+  "ruff",
+  "ty",
+]
+dev = [
+  {include-group = "test"},
+  {include-group = "lint"},
+]
+
+[tool.hatch.build.targets.wheel]
+include = ["langgraph"]
+
+[tool.pytest.ini_options]
+addopts = "--strict-markers --strict-config --durations=5 -vv"
+testpaths = ["tests"]
+asyncio_mode = "auto"
+
+[tool.ty.rules]
+# The extended methods (acopy_thread, adelete_for_runs, aprune) are checked
+# at runtime via capability detection and may not exist on the installed
+# base class. Dict literal inference is also overly strict for RunnableConfig.
+unresolved-attribute = "ignore"
+invalid-argument-type = "ignore"
+invalid-return-type = "ignore"
+
+[tool.ruff]
+lint.select = [
+  "E",  # pycodestyle
+  "F",  # Pyflakes
+  "UP", # pyupgrade
+  "B",  # flake8-bugbear
+  "I",  # isort
+]
+lint.ignore = ["E501", "B008"]
+target-version = "py310"
+
+[[tool.uv.index]]
+name = "testpypi"
+url = "https://test.pypi.org/simple/"
+publish-url = "https://test.pypi.org/legacy/"
+explicit = true

libs/checkpoint-conformance/tests/test_validate_memory.py

@@ -0,0 +1,21 @@
+"""Self-tests: run the conformance suite against InMemorySaver."""
+
+from __future__ import annotations
+
+import pytest
+from langgraph.checkpoint.memory import InMemorySaver
+
+from langgraph.checkpoint.conformance import checkpointer_test, validate
+
+
+@checkpointer_test(name="InMemorySaver")
+async def memory_checkpointer():
+    yield InMemorySaver()
+
+
+@pytest.mark.asyncio
+async def test_validate_memory_base():
+    """InMemorySaver passes all base capability tests."""
+    report = await validate(memory_checkpointer)
+    report.print_report()
+    assert report.passed_all_base(), f"Base tests failed: {report.to_dict()}"

libs/checkpoint-postgres/Makefile

@@ -1,4 +1,4 @@
-.PHONY: test test_watch lint format
+.PHONY: test test_watch lint type format
 
 ######################
 # TESTING AND COVERAGE
@@ -61,6 +61,9 @@ lint lint_diff lint_package lint_tests:
 	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
 	[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
+type:
+	mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)
 	uv run ruff check --select I --fix $(PYTHON_FILES)

libs/checkpoint-postgres/langgraph/store/postgres/aio.py

@@ -550,6 +550,11 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
                 Will be applied regardless of whether the PostgresStore instance was initialized with a pipeline.
                 If pipeline mode is not supported, will fall back to using transaction context manager.
         """
+        is_pooled_conn = isinstance(self.conn, AsyncConnectionPool)
+        # With AsyncConnectionPool, each _cursor() call checks out its own connection.
+        # The pool does not hand out the same connection concurrently, so a shared lock
+        # across calls is unnecessary here.
+        lock = asyncio.Lock() if is_pooled_conn else self.lock
         async with _ainternal.get_connection(self.conn) as conn:
             if self.pipe:
                 # a connection in pipeline mode can be used concurrently
@@ -566,21 +571,21 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
                 # thread/coroutine at a time, so we acquire a lock
                 if self.supports_pipeline:
                     async with (
-                        self.lock,
+                        lock,
                         conn.pipeline(),
                         conn.cursor(binary=True, row_factory=dict_row) as cur,
                     ):
                         yield cur
                 else:
                     async with (
-                        self.lock,
+                        lock,
                         conn.transaction(),
                         conn.cursor(binary=True, row_factory=dict_row) as cur,
                     ):
                         yield cur
             else:
                 async with (
-                    self.lock,
+                    lock,
                     conn.cursor(binary=True, row_factory=dict_row) as cur,
                 ):
                     yield cur

libs/checkpoint-postgres/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.3"
+version = "3.0.4"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -13,14 +13,14 @@ license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
   "langgraph-checkpoint>=2.1.2,<5.0.0",
-  "orjson>=3.10.1",
+  "orjson>=3.11.5",
   "psycopg>=3.2.0",
   "psycopg-pool>=3.2.0",
 ]
 
 [project.urls]
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-postgres"
-Twitter = "https://x.com/LangChainAI"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"
 

libs/checkpoint-postgres/uv.lock

@@ -13,16 +13,16 @@ wheels = [
 
 [[package]]
 name = "anyio"
-version = "4.12.0"
+version = "4.12.1"
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     { name = "idna" },
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
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 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/38/0e/27be9fdef66e72d64c0cdc3cc2823101b80585f8119b5c112c2e8f5f7dab/anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c", size = 113592, upload-time = "2026-01-06T11:45:19.497Z" },
 ]
 
 [[package]]
@@ -36,11 +36,11 @@ wheels = [
 
 [[package]]
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-version = "2025.11.12"
+version = "2026.1.4"
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+sdist = { url = "https://files.pythonhosted.org/packages/e0/2d/a891ca51311197f6ad14a7ef42e2399f36cf2f9bd44752b3dc4eab60fdc5/certifi-2026.1.4.tar.gz", hash = "sha256:ac726dd470482006e014ad384921ed6438c457018f4b3d204aea4281258b2120", size = 154268, upload-time = "2026-01-04T02:42:41.825Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/e6/ad/3cc14f097111b4de0040c83a525973216457bbeeb63739ef1ed275c1c021/certifi-2026.1.4-py3-none-any.whl", hash = "sha256:9943707519e4add1115f44c2bc244f782c0249876bf51b6599fee1ffbedd685c", size = 152900, upload-time = "2026-01-04T02:42:40.15Z" },
 ]
 
 [[package]]
@@ -134,11 +134,11 @@ wheels = [
 
 [[package]]
 name = "codespell"
-version = "2.4.1"
+version = "2.4.2"
 source = { registry = "https://pypi.org/simple" }
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+sdist = { url = "https://files.pythonhosted.org/packages/2d/9d/1d0903dff693160f893ca6abcabad545088e7a2ee0a6deae7c24e958be69/codespell-2.4.2.tar.gz", hash = "sha256:3c33be9ae34543807f088aeb4832dfad8cb2dae38da61cac0a7045dd376cfdf3", size = 352058, upload-time = "2026-03-05T18:10:42.936Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/42/a1/52fa05533e95fe45bcc09bcf8a503874b1c08f221a4e35608017e0938f55/codespell-2.4.2-py3-none-any.whl", hash = "sha256:97e0c1060cf46bd1d5db89a936c98db8c2b804e1fdd4b5c645e82a1ec6b1f886", size = 353715, upload-time = "2026-03-05T18:10:41.398Z" },
 ]
 
 [[package]]
@@ -240,7 +240,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.1.3"
+version = "1.2.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -252,14 +252,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/12/17/1943cedfc118e04b8128e4c3e1dbf0fa0ea58eefddbb6198cfd699d19f01/langchain_core-1.2.11.tar.gz", hash = "sha256:f164bb36602dd74a3a50c1334fca75309ad5ed95767acdfdbb9fa95ce28a1e01", size = 831211, upload-time = "2026-02-10T20:35:28.35Z" }
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+    { url = "https://files.pythonhosted.org/packages/10/30/1f80e3fc674353cad975ed5294353d42512535d2094ef032c06454c2c873/langchain_core-1.2.11-py3-none-any.whl", hash = "sha256:ae11ceb8dda60d0b9d09e763116e592f1683327c17be5b715f350fd29aee65d3", size = 500062, upload-time = "2026-02-10T20:35:26.698Z" },
 ]
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.0"
+version = "4.0.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -280,6 +280,7 @@ dev = [
     { name = "numpy" },
     { name = "pandas" },
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 ]
 
 [[package]]

libs/checkpoint-sqlite/Makefile

@@ -1,4 +1,4 @@
-.PHONY: test test_watch lint format
+.PHONY: test test_watch lint type format
 
 ######################
 # TESTING AND COVERAGE
@@ -32,6 +32,9 @@ lint lint_diff lint_package lint_tests:
 	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
 	[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
+type:
+	mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)
 	uv run ruff check --select I --fix $(PYTHON_FILES)

libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 import asyncio
 import json
 import random
+import threading
 from collections.abc import AsyncIterator, Callable, Iterator, Sequence
 from contextlib import asynccontextmanager
 from typing import Any, TypeVar, cast
@@ -281,8 +282,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
         async with self.lock:
             if self.is_setup:
                 return
-            if not self.conn.is_alive():
-                await self.conn
+            await _ensure_connected(self.conn)
             async with self.conn.executescript(
                 """
                 PRAGMA journal_mode=WAL;
@@ -609,3 +609,23 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
         next_v = current_v + 1
         next_h = random.random()
         return f"{next_v:032}.{next_h:016}"
+
+
+async def _ensure_connected(conn: aiosqlite.Connection) -> None:
+    if not _CONN_STARTED_CHECK(conn):
+        await conn
+
+
+def _build_conn_started_check() -> Callable[[aiosqlite.Connection], bool]:
+    is_alive = getattr(aiosqlite.Connection, "is_alive", None)
+    if callable(is_alive):
+        return lambda conn: conn.is_alive()  # type: ignore[attr-defined]
+
+    def _started(conn: aiosqlite.Connection) -> bool:
+        thread: threading.Thread | None = getattr(conn, "_thread", None)
+        return False if thread is None else thread.is_alive()
+
+    return _started
+
+
+_CONN_STARTED_CHECK = _build_conn_started_check()

libs/checkpoint-sqlite/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-sqlite"
-version = "3.0.2"
+version = "3.0.3"
 description = "Library with a SQLite implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -19,7 +19,7 @@ dependencies = [
 
 [project.urls]
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-sqlite"
-Twitter = "https://x.com/LangChainAI"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"
 

libs/checkpoint/Makefile

@@ -1,4 +1,4 @@
-.PHONY: test test_watch lint format
+.PHONY: test test_watch lint type format
 
 ######################
 # TESTING AND COVERAGE
@@ -32,6 +32,9 @@ lint lint_diff lint_package lint_tests:
 	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
 	[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
+type:
+	mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
+
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)
-	uv run ruff check --select I --fix $(PYTHON_FILES)
+	uv run ruff check --fix $(PYTHON_FILES)

libs/checkpoint/langgraph/checkpoint/base/__init__.py

@@ -1,6 +1,8 @@
 from __future__ import annotations
 
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+import copy
+import logging
+from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
 from typing import (  # noqa: UP035
     Any,
     Generic,
@@ -14,6 +16,7 @@ from langchain_core.runnables import RunnableConfig
 
 from langgraph.checkpoint.base.id import uuid6
 from langgraph.checkpoint.serde.base import SerializerProtocol, maybe_add_typed_methods
+from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
 from langgraph.checkpoint.serde.types import (
     ERROR,
@@ -25,6 +28,7 @@ from langgraph.checkpoint.serde.types import (
 
 V = TypeVar("V", int, float, str)
 PendingWrite = tuple[str, str, Any]
+logger = logging.getLogger(__name__)
 
 
 # Marked as total=False to allow for future expansion.
@@ -51,6 +55,8 @@ class CheckpointMetadata(TypedDict, total=False):
 
     Mapping from checkpoint namespace to checkpoint ID.
     """
+    run_id: str
+    """The ID of the run that created this checkpoint."""
 
 
 ChannelVersions = dict[str, str | int | float]
@@ -119,6 +125,25 @@ class BaseCheckpointSaver(Generic[V]):
     Checkpointers allow LangGraph agents to persist their state
     within and across multiple interactions.
 
+    When a checkpointer is configured, you should pass a `thread_id` in the config when
+    invoking the graph:
+
+    ```python
+    config = {"configurable": {"thread_id": "my-thread"}}
+    graph.invoke(inputs, config)
+    ```
+
+    The `thread_id` is the primary key used to store and retrieve checkpoints. Without
+    it, the checkpointer cannot save state, resume from interrupts, or enable
+    time-travel debugging.
+
+    How you choose ``thread_id`` depends on your use case:
+
+    - **Single-shot workflows**: Use a unique ID (e.g., uuid4) for each run when
+        executions are independent.
+    - **Conversational memory**: Reuse the same `thread_id` across invocations
+        to accumulate state (e.g., chat history) within a conversation.
+
     Attributes:
         serde (SerializerProtocol): Serializer for encoding/decoding checkpoints.
 
@@ -249,6 +274,45 @@ class BaseCheckpointSaver(Generic[V]):
         """
         raise NotImplementedError
 
+    def delete_for_runs(
+        self,
+        run_ids: Sequence[str],
+    ) -> None:
+        """Delete all checkpoints and writes associated with the given run IDs.
+
+        Args:
+            run_ids: The run IDs whose checkpoints should be deleted.
+        """
+        raise NotImplementedError
+
+    def copy_thread(
+        self,
+        source_thread_id: str,
+        target_thread_id: str,
+    ) -> None:
+        """Copy all checkpoints and writes from one thread to another.
+
+        Args:
+            source_thread_id: The thread ID to copy from.
+            target_thread_id: The thread ID to copy to.
+        """
+        raise NotImplementedError
+
+    def prune(
+        self,
+        thread_ids: Sequence[str],
+        *,
+        strategy: str = "keep_latest",
+    ) -> None:
+        """Prune checkpoints for the given threads.
+
+        Args:
+            thread_ids: The thread IDs to prune.
+            strategy: The pruning strategy. `"keep_latest"` retains only the most
+                recent checkpoint per namespace. `"delete"` removes all checkpoints.
+        """
+        raise NotImplementedError
+
     async def aget(self, config: RunnableConfig) -> Checkpoint | None:
         """Asynchronously fetch a checkpoint using the given configuration.
 
@@ -354,6 +418,45 @@ class BaseCheckpointSaver(Generic[V]):
         """
         raise NotImplementedError
 
+    async def adelete_for_runs(
+        self,
+        run_ids: Sequence[str],
+    ) -> None:
+        """Asynchronously delete all checkpoints and writes for the given run IDs.
+
+        Args:
+            run_ids: The run IDs whose checkpoints should be deleted.
+        """
+        raise NotImplementedError
+
+    async def acopy_thread(
+        self,
+        source_thread_id: str,
+        target_thread_id: str,
+    ) -> None:
+        """Asynchronously copy all checkpoints and writes from one thread to another.
+
+        Args:
+            source_thread_id: The thread ID to copy from.
+            target_thread_id: The thread ID to copy to.
+        """
+        raise NotImplementedError
+
+    async def aprune(
+        self,
+        thread_ids: Sequence[str],
+        *,
+        strategy: str = "keep_latest",
+    ) -> None:
+        """Asynchronously prune checkpoints for the given threads.
+
+        Args:
+            thread_ids: The thread IDs to prune.
+            strategy: The pruning strategy. `"keep_latest"` retains only the most
+                recent checkpoint per namespace. `"delete"` removes all checkpoints.
+        """
+        raise NotImplementedError
+
     def get_next_version(self, current: V | None, channel: None) -> V:
         """Generate the next version ID for a channel.
 
@@ -375,6 +478,37 @@ class BaseCheckpointSaver(Generic[V]):
         else:
             return current + 1
 
+    def with_allowlist(
+        self, extra_allowlist: Collection[tuple[str, ...]]
+    ) -> BaseCheckpointSaver[V]:
+        """Return a shallow clone with a derived msgpack allowlist."""
+        serde = _with_msgpack_allowlist(self.serde, extra_allowlist)
+        if serde is self.serde:
+            return self
+        clone = copy.copy(self)
+        clone.serde = maybe_add_typed_methods(serde)
+        return clone
+
+
+def _with_msgpack_allowlist(
+    serde: SerializerProtocol, extra_allowlist: Collection[tuple[str, ...]]
+) -> SerializerProtocol:
+    if isinstance(serde, JsonPlusSerializer):
+        return serde.with_msgpack_allowlist(extra_allowlist)
+    if isinstance(serde, EncryptedSerializer):
+        inner = serde.serde
+        if isinstance(inner, JsonPlusSerializer):
+            updated_inner = inner.with_msgpack_allowlist(extra_allowlist)
+            if updated_inner is inner:
+                return serde
+            return EncryptedSerializer(serde.cipher, updated_inner)
+    logger.warning(
+        "Serializer %s does not support msgpack allowlist. "
+        "Strict msgpack deserialization will not be enforced.",
+        type(serde).__name__,
+    )
+    return serde
+
 
 class EmptyChannelError(Exception):
     """Raised when attempting to get the value of a channel that hasn't been updated

libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py

@@ -0,0 +1,89 @@
+import os
+from collections.abc import Iterable
+from typing import cast
+
+STRICT_MSGPACK_ENABLED = os.getenv("LANGGRAPH_STRICT_MSGPACK", "false").lower() in (
+    "1",
+    "true",
+    "yes",
+)
+
+
+_SENTINEL = cast(None, object())
+
+SAFE_MSGPACK_TYPES: frozenset[tuple[str, ...]] = frozenset(
+    {
+        # datetime types
+        ("datetime", "datetime"),
+        ("datetime", "date"),
+        ("datetime", "time"),
+        ("datetime", "timedelta"),
+        ("datetime", "timezone"),
+        # uuid
+        ("uuid", "UUID"),
+        # numeric
+        ("decimal", "Decimal"),
+        # collections
+        ("builtins", "set"),
+        ("builtins", "frozenset"),
+        ("collections", "deque"),
+        # ip addresses
+        ("ipaddress", "IPv4Address"),
+        ("ipaddress", "IPv4Interface"),
+        ("ipaddress", "IPv4Network"),
+        ("ipaddress", "IPv6Address"),
+        ("ipaddress", "IPv6Interface"),
+        ("ipaddress", "IPv6Network"),
+        # pathlib
+        ("pathlib", "Path"),
+        ("pathlib", "PosixPath"),
+        ("pathlib", "WindowsPath"),
+        # pathlib in Python 3.13+
+        ("pathlib._local", "Path"),
+        ("pathlib._local", "PosixPath"),
+        ("pathlib._local", "WindowsPath"),
+        # zoneinfo
+        ("zoneinfo", "ZoneInfo"),
+        # regex
+        ("re", "compile"),
+        # langchain-core messages (safe container types used by graph state)
+        ("langchain_core.messages.base", "BaseMessage"),
+        ("langchain_core.messages.base", "BaseMessageChunk"),
+        ("langchain_core.messages.human", "HumanMessage"),
+        ("langchain_core.messages.human", "HumanMessageChunk"),
+        ("langchain_core.messages.ai", "AIMessage"),
+        ("langchain_core.messages.ai", "AIMessageChunk"),
+        ("langchain_core.messages.system", "SystemMessage"),
+        ("langchain_core.messages.system", "SystemMessageChunk"),
+        ("langchain_core.messages.chat", "ChatMessage"),
+        ("langchain_core.messages.chat", "ChatMessageChunk"),
+        ("langchain_core.messages.tool", "ToolMessage"),
+        ("langchain_core.messages.tool", "ToolMessageChunk"),
+        ("langchain_core.messages.function", "FunctionMessage"),
+        ("langchain_core.messages.function", "FunctionMessageChunk"),
+        ("langchain_core.messages.modifier", "RemoveMessage"),
+        # langchain-core document model
+        ("langchain_core.documents.base", "Document"),
+        # langgraph
+        ("langgraph.types", "Send"),
+        ("langgraph.types", "Interrupt"),
+        ("langgraph.types", "Command"),
+        ("langgraph.types", "StateSnapshot"),
+        ("langgraph.types", "PregelTask"),
+        ("langgraph.types", "Overwrite"),
+        ("langgraph.store.base", "Item"),
+        ("langgraph.store.base", "GetOp"),
+    }
+)
+
+# Allowed (module, name, method) triples for EXT_METHOD_SINGLE_ARG.
+# Only these specific method invocations are permitted during deserialization.
+# This is separate from SAFE_MSGPACK_TYPES which only governs construction.
+SAFE_MSGPACK_METHODS: frozenset[tuple[str, str, str]] = frozenset(
+    {
+        ("datetime", "datetime", "fromisoformat"),
+    }
+)
+
+
+AllowedMsgpackModules = Iterable[tuple[str, ...] | type]

libs/checkpoint/langgraph/checkpoint/serde/encrypted.py

@@ -41,7 +41,7 @@ class EncryptedSerializer(SerializerProtocol):
     ) -> "EncryptedSerializer":
         """Create an `EncryptedSerializer` using AES encryption."""
         try:
-            from Crypto.Cipher import AES  # type: ignore
+            from Crypto.Cipher import AES
         except ImportError:
             raise ImportError(
                 "Pycryptodome is not installed. Please install it with `pip install pycryptodome`."

libs/checkpoint/langgraph/checkpoint/serde/event_hooks.py

@@ -0,0 +1,52 @@
+from __future__ import annotations
+
+import logging
+from collections.abc import Callable
+from threading import Lock
+from typing import TypedDict
+
+from typing_extensions import NotRequired
+
+logger = logging.getLogger(__name__)
+
+
+class SerdeEvent(TypedDict):
+    kind: str
+    module: str
+    name: str
+    method: NotRequired[str]
+
+
+SerdeEventListener = Callable[[SerdeEvent], None]
+
+_listeners: list[SerdeEventListener] = []
+_listeners_lock = Lock()
+
+
+def register_serde_event_listener(listener: SerdeEventListener) -> Callable[[], None]:
+    """Register a listener for serde allowlist events."""
+    with _listeners_lock:
+        _listeners.append(listener)
+
+    def unregister() -> None:
+        with _listeners_lock:
+            try:
+                _listeners.remove(listener)
+            except ValueError:
+                pass
+
+    return unregister
+
+
+def emit_serde_event(event: SerdeEvent) -> None:
+    """Emit a serde event to all listeners.
+
+    Listener failures are isolated and logged.
+    """
+    with _listeners_lock:
+        listeners = tuple(_listeners)
+    for listener in listeners:
+        try:
+            listener(event)
+        except Exception:
+            logger.warning("Serde listener failed", exc_info=True)

libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py

@@ -1,5 +1,6 @@
 from __future__ import annotations
 
+import copy
 import dataclasses
 import decimal
 import importlib
@@ -10,7 +11,7 @@ import pickle
 import re
 import sys
 from collections import deque
-from collections.abc import Callable, Sequence
+from collections.abc import Callable, Iterable, Sequence
 from datetime import date, datetime, time, timedelta, timezone
 from enum import Enum
 from inspect import isclass
@@ -22,17 +23,25 @@ from ipaddress import (
     IPv6Interface,
     IPv6Network,
 )
-from typing import Any, Literal
+from typing import TYPE_CHECKING, Any, Literal, cast
 from uuid import UUID
 from zoneinfo import ZoneInfo
 
 import ormsgpack
 from langchain_core.load.load import Reviver
 
+from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
 from langgraph.checkpoint.serde.base import SerializerProtocol
+from langgraph.checkpoint.serde.event_hooks import emit_serde_event
 from langgraph.checkpoint.serde.types import SendProtocol
 from langgraph.store.base import Item
 
+if TYPE_CHECKING:
+    from langgraph.checkpoint.serde._msgpack import (
+        AllowedMsgpackModules,
+    )
+    from langgraph.checkpoint.serde.types import SendProtocol
+
 LC_REVIVER = Reviver()
 EMPTY_BYTES = b""
 logger = logging.getLogger(__name__)
@@ -53,21 +62,62 @@ class JsonPlusSerializer(SerializerProtocol):
         self,
         *,
         pickle_fallback: bool = False,
-        allowed_json_modules: Sequence[tuple[str, ...]] | Literal[True] | None = None,
+        allowed_json_modules: Iterable[tuple[str, ...]] | Literal[True] | None = None,
+        allowed_msgpack_modules: (
+            AllowedMsgpackModules | Literal[True] | None
+        ) = _lg_msgpack._SENTINEL,
         __unpack_ext_hook__: Callable[[int, bytes], Any] | None = None,
     ) -> None:
+        if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
+            if _lg_msgpack.STRICT_MSGPACK_ENABLED:
+                allowed_msgpack_modules = None
+            else:
+                allowed_msgpack_modules = True
         self.pickle_fallback = pickle_fallback
-        self._allowed_modules = (
-            {mod_and_name for mod_and_name in allowed_json_modules}
-            if allowed_json_modules and allowed_json_modules is not True
-            else (allowed_json_modules if allowed_json_modules is True else None)
+        self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
+            _normalize_allowlist(allowed_json_modules)
         )
+        self._allowed_msgpack_modules = _normalize_allowlist(allowed_msgpack_modules)
+
+        self._custom_unpack_ext_hook = __unpack_ext_hook__ is not None
         self._unpack_ext_hook = (
             __unpack_ext_hook__
             if __unpack_ext_hook__ is not None
-            else _msgpack_ext_hook
+            else _create_msgpack_ext_hook(self._allowed_msgpack_modules)
         )
 
+    def with_msgpack_allowlist(
+        self, extra_allowlist: Iterable[tuple[str, ...] | type]
+    ) -> JsonPlusSerializer:
+        """Return a new serializer with a merged msgpack allowlist."""
+        base_allowlist = self._allowed_msgpack_modules
+        if base_allowlist is True or base_allowlist is False:
+            return self
+        elif base_allowlist:
+            base_allowlist = set(base_allowlist)
+        else:
+            base_allowlist = set()
+        extra = _normalize_module_keys(tuple(extra_allowlist))
+        merged = base_allowlist | extra
+        if merged == base_allowlist:
+            return self
+        allowed_msgpack_modules: AllowedMsgpackModules | Literal[True] | None
+        if merged:
+            allowed_msgpack_modules = tuple(merged)
+        elif isinstance(self._allowed_msgpack_modules, set):
+            allowed_msgpack_modules = tuple(self._allowed_msgpack_modules)
+        else:
+            allowed_msgpack_modules = self._allowed_msgpack_modules
+
+        clone = copy.copy(self)
+        clone._allowed_json_modules = _normalize_allowlist(self._allowed_json_modules)
+        clone._allowed_msgpack_modules = _normalize_allowlist(allowed_msgpack_modules)
+        if not clone._custom_unpack_ext_hook:
+            clone._unpack_ext_hook = _create_msgpack_ext_hook(
+                clone._allowed_msgpack_modules
+            )
+        return clone
+
     def _encode_constructor_args(
         self,
         constructor: Callable | type[Any],
@@ -90,7 +140,7 @@ class JsonPlusSerializer(SerializerProtocol):
         return out
 
     def _reviver(self, value: dict[str, Any]) -> Any:
-        if self._allowed_modules and (
+        if self._allowed_json_modules and (
             value.get("lc", None) == 2
             and value.get("type", None) == "constructor"
             and value.get("id", None) is not None
@@ -107,7 +157,7 @@ class JsonPlusSerializer(SerializerProtocol):
         return LC_REVIVER(value)
 
     def _revive_lc2(self, value: dict[str, Any]) -> Any:
-        self._check_allowed_modules(value)
+        self._check_allowed_json_modules(value)
 
         [*module, name] = value["id"]
         try:
@@ -139,7 +189,7 @@ class JsonPlusSerializer(SerializerProtocol):
         except Exception:
             return None
 
-    def _check_allowed_modules(self, value: dict[str, Any]) -> None:
+    def _check_allowed_json_modules(self, value: dict[str, Any]) -> None:
         needed = tuple(value["id"])
         method = value.get("method")
         if isinstance(method, list):
@@ -150,7 +200,7 @@ class JsonPlusSerializer(SerializerProtocol):
             method_display = "<init>"
 
         dotted = ".".join(needed)
-        if not self._allowed_modules:
+        if not self._allowed_json_modules:
             raise InvalidModuleError(
                 f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
                 "No allowed_json_modules configured.\n\n"
@@ -161,9 +211,9 @@ class JsonPlusSerializer(SerializerProtocol):
                 "or plain-JSON representations revived without import-time side effects."
             )
 
-        if self._allowed_modules is True:
+        if self._allowed_json_modules is True:
             return
-        if needed in self._allowed_modules:
+        if needed in self._allowed_json_modules:
             return
 
         raise InvalidModuleError(
@@ -448,92 +498,196 @@ def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
         raise TypeError(f"Object of type {obj.__class__.__name__} is not serializable")
 
 
-def _msgpack_ext_hook(code: int, data: bytes) -> Any:
-    if code == EXT_CONSTRUCTOR_SINGLE_ARG:
-        try:
-            tup = ormsgpack.unpackb(
-                data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
-            )
-            # module, name, arg
-            return getattr(importlib.import_module(tup[0]), tup[1])(tup[2])
-        except Exception:
-            return
-    elif code == EXT_CONSTRUCTOR_POS_ARGS:
-        try:
-            tup = ormsgpack.unpackb(
-                data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
-            )
-            # module, name, args
-            return getattr(importlib.import_module(tup[0]), tup[1])(*tup[2])
-        except Exception:
-            return
-    elif code == EXT_CONSTRUCTOR_KW_ARGS:
-        try:
-            tup = ormsgpack.unpackb(
-                data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
-            )
-            # module, name, args
-            return getattr(importlib.import_module(tup[0]), tup[1])(**tup[2])
-        except Exception:
-            return
-    elif code == EXT_METHOD_SINGLE_ARG:
-        try:
-            tup = ormsgpack.unpackb(
-                data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
-            )
-            # module, name, arg, method
-            return getattr(getattr(importlib.import_module(tup[0]), tup[1]), tup[3])(
-                tup[2]
-            )
-        except Exception:
-            return
-    elif code == EXT_PYDANTIC_V1:
-        try:
-            tup = ormsgpack.unpackb(
-                data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
-            )
-            # module, name, kwargs
-            cls = getattr(importlib.import_module(tup[0]), tup[1])
-            try:
-                return cls(**tup[2])
-            except Exception:
-                return cls.construct(**tup[2])
-        except Exception:
-            # for pydantic objects we can't find/reconstruct
-            # let's return the kwargs dict instead
-            try:
-                return tup[2]
-            except NameError:
-                return
-    elif code == EXT_PYDANTIC_V2:
-        try:
-            tup = ormsgpack.unpackb(
-                data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
-            )
-            # module, name, kwargs, method
-            cls = getattr(importlib.import_module(tup[0]), tup[1])
-            try:
-                return cls(**tup[2])
-            except Exception:
-                return cls.model_construct(**tup[2])
-        except Exception:
-            # for pydantic objects we can't find/reconstruct
-            # let's return the kwargs dict instead
-            try:
-                return tup[2]
-            except NameError:
-                return
-    elif code == EXT_NUMPY_ARRAY:
-        try:
-            import numpy as _np
+def _create_msgpack_ext_hook(
+    allowed_modules: set[tuple[str, ...]] | Literal[True] | None,
+) -> Callable[[int, bytes], Any]:
+    """Create msgpack ext hook with allowlist.
 
-            dtype_str, shape, order, buf = ormsgpack.unpackb(
-                data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+    Args:
+        allowed_modules: Set of (module, name) tuples that are allowed to be
+        deserialized, or True to allow all with warnings for unregistered types, or None to only allow safe types.
+
+    Returns:
+        An ext_hook function for use with ormsgpack.unpackb.
+    """
+
+    def _check_allowed(module: str, name: str) -> bool:
+        """Check if type is allowed. Returns True if allowed, False if blocked."""
+        key = (module, name)
+
+        if key in _lg_msgpack.SAFE_MSGPACK_TYPES:
+            return True
+
+        if allowed_modules is True:
+            # default is to warn but allow unregistered types
+            emit_serde_event(
+                {
+                    "kind": "msgpack_unregistered_allowed",
+                    "module": module,
+                    "name": name,
+                }
             )
-            arr = _np.frombuffer(buf, dtype=_np.dtype(dtype_str))
-            return arr.reshape(shape, order=order)
-        except Exception:
-            return
+            logger.warning(
+                "Deserializing unregistered type %s.%s from checkpoint. "
+                "This will be blocked in a future version. "
+                "Add to allowed_msgpack_modules to silence: [(%r, %r)]",
+                module,
+                name,
+                module,
+                name,
+            )
+            return True
+        if allowed_modules is not None:
+            if key in allowed_modules:
+                return True
+        # strict mode blocks unregistered types
+        emit_serde_event(
+            {
+                "kind": "msgpack_blocked",
+                "module": module,
+                "name": name,
+            }
+        )
+        logger.warning(
+            "Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
+            "Add to allowed_msgpack_modules to allow: [(%r, %r)]",
+            module,
+            name,
+            module,
+            name,
+        )
+        return False
+
+    def _check_allowed_method(module: str, name: str, method: str) -> bool:
+        """Check if a method invocation is allowed."""
+        key = (module, name, method)
+        if key in _lg_msgpack.SAFE_MSGPACK_METHODS:
+            return True
+        emit_serde_event(
+            {
+                "kind": "msgpack_method_blocked",
+                "module": module,
+                "name": name,
+                "method": method,
+            }
+        )
+        logger.warning(
+            "Blocked deserialization of method call %s.%s.%s - "
+            "not in allowed methods set.",
+            module,
+            name,
+            method,
+        )
+        return False
+
+    def ext_hook(code: int, data: bytes) -> Any:
+        if code == EXT_CONSTRUCTOR_SINGLE_ARG:
+            try:
+                tup = ormsgpack.unpackb(
+                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+                )
+                if not _check_allowed(tup[0], tup[1]):
+                    # We default to returning the raw data. If the user
+                    # is using this in the context of a pydantic state, etc., then
+                    # it would be validated upon construction.
+                    return tup[2]
+                # module, name, arg
+                return getattr(importlib.import_module(tup[0]), tup[1])(tup[2])
+            except Exception:
+                return None
+        elif code == EXT_CONSTRUCTOR_POS_ARGS:
+            try:
+                tup = ormsgpack.unpackb(
+                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+                )
+                if not _check_allowed(tup[0], tup[1]):
+                    return tup[2]
+                # module, name, args
+                return getattr(importlib.import_module(tup[0]), tup[1])(*tup[2])
+            except Exception:
+                return None
+        elif code == EXT_CONSTRUCTOR_KW_ARGS:
+            try:
+                tup = ormsgpack.unpackb(
+                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+                )
+                if not _check_allowed(tup[0], tup[1]):
+                    return tup[2]
+                # module, name, kwargs
+                return getattr(importlib.import_module(tup[0]), tup[1])(**tup[2])
+            except Exception:
+                return None
+        elif code == EXT_METHOD_SINGLE_ARG:
+            try:
+                tup = ormsgpack.unpackb(
+                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+                )
+                if not _check_allowed_method(tup[0], tup[1], tup[3]):
+                    return tup[2]
+                # module, name, arg, method
+                return getattr(
+                    getattr(importlib.import_module(tup[0]), tup[1]), tup[3]
+                )(tup[2])
+            except Exception:
+                return None
+        elif code == EXT_PYDANTIC_V1:
+            try:
+                tup = ormsgpack.unpackb(
+                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+                )
+                if not _check_allowed(tup[0], tup[1]):
+                    return tup[2]
+                # module, name, kwargs
+                cls = getattr(importlib.import_module(tup[0]), tup[1])
+                try:
+                    return cls(**tup[2])
+                except Exception:
+                    return cls.construct(**tup[2])
+            except Exception:
+                # for pydantic objects we can't find/reconstruct
+                # let's return the kwargs dict instead
+                try:
+                    return tup[2]
+                except NameError:
+                    return None
+        elif code == EXT_PYDANTIC_V2:
+            try:
+                tup = ormsgpack.unpackb(
+                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+                )
+                if not _check_allowed(tup[0], tup[1]):
+                    return tup[2]
+                # module, name, kwargs, method
+                cls = getattr(importlib.import_module(tup[0]), tup[1])
+                try:
+                    return cls(**tup[2])
+                except Exception:
+                    return cls.model_construct(**tup[2])
+            except Exception:
+                # for pydantic objects we can't find/reconstruct
+                # let's return the kwargs dict instead
+                try:
+                    return tup[2]
+                except NameError:
+                    return None
+        elif code == EXT_NUMPY_ARRAY:
+            try:
+                import numpy as _np
+
+                dtype_str, shape, order, buf = ormsgpack.unpackb(
+                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
+                )
+                arr = _np.frombuffer(buf, dtype=_np.dtype(dtype_str))
+                return arr.reshape(shape, order=order)
+            except Exception:
+                return None
+        return None
+
+    return ext_hook
+
+
+# Aliasing in case anyone imported it directly
+_msgpack_ext_hook = _create_msgpack_ext_hook(allowed_modules=None)
 
 
 def _msgpack_ext_hook_to_json(code: int, data: bytes) -> Any:
@@ -648,3 +802,26 @@ _option = (
 
 def _msgpack_enc(data: Any) -> bytes:
     return ormsgpack.packb(data, default=_msgpack_default, option=_option)
+
+
+def _normalize_allowlist(
+    allowlist: AllowedMsgpackModules | Literal[True] | None,
+) -> set[tuple[str, ...]] | Literal[True] | None:
+    if allowlist is True:
+        return allowlist
+    elif allowlist:
+        return _normalize_module_keys(allowlist)
+    else:
+        return None
+
+
+def _normalize_module_keys(
+    modules: AllowedMsgpackModules,
+) -> set[tuple[str, ...]]:
+    normalized: set[tuple[str, ...]] = set()
+    for module in modules:
+        if isclass(module):
+            normalized.add((module.__module__, module.__name__))
+        else:
+            normalized.add(cast(tuple[str, ...], module))
+    return normalized

libs/checkpoint/langgraph/store/base/batch.py

@@ -328,6 +328,9 @@ async def _run(
     store: weakref.ReferenceType[BaseStore],
 ) -> None:
     while item := await aqueue.get():
+        # don't run batch if the future is done (e.g. cancelled)
+        if item[0].done():
+            continue
         # check if store is still alive
         if s := store():
             try:
@@ -335,6 +338,9 @@ async def _run(
                 items = [item]
                 try:
                     while item := aqueue.get_nowait():
+                        # don't insert if the future is done (e.g. cancelled)
+                        if item[0].done():
+                            continue
                         items.append(item)
                 except asyncio.QueueEmpty:
                     pass

libs/checkpoint/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint"
-version = "4.0.0"
+version = "4.0.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"
@@ -18,7 +18,7 @@ dependencies = [
 
 [project.urls]
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint"
-Twitter = "https://x.com/LangChainAI"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"
 
@@ -42,6 +42,7 @@ lint = [
 dev = [
   {include-group = "test"},
   {include-group = "lint"},
+  "pycryptodome>=3.23.0",
 ]
 
 [tool.hatch.build.targets.wheel]

libs/checkpoint/tests/test_encrypted.py

@@ -0,0 +1,437 @@
+"""Tests for EncryptedSerializer with msgpack allowlist functionality.
+
+These tests mirror the msgpack allowlist tests in test_jsonplus.py but run them
+through the EncryptedSerializer to ensure the allowlist behavior is preserved
+when encryption is enabled.
+"""
+
+from __future__ import annotations
+
+import logging
+import pathlib
+import re
+import uuid
+from collections import deque
+from datetime import date, datetime, time, timezone
+from decimal import Decimal
+from ipaddress import IPv4Address
+from typing import Literal, cast
+
+import ormsgpack
+import pytest
+from pydantic import BaseModel
+
+from langgraph.checkpoint.base import BaseCheckpointSaver, _with_msgpack_allowlist
+from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
+from langgraph.checkpoint.serde.base import CipherProtocol
+from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
+from langgraph.checkpoint.serde.jsonplus import (
+    EXT_METHOD_SINGLE_ARG,
+    JsonPlusSerializer,
+    _msgpack_enc,
+)
+
+
+class InnerPydantic(BaseModel):
+    hello: str
+
+
+class MyPydantic(BaseModel):
+    foo: str
+    bar: int
+    inner: InnerPydantic
+
+
+class AnotherPydantic(BaseModel):
+    foo: str
+
+
+class _PassthroughCipher(CipherProtocol):
+    def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
+        return "passthrough", plaintext
+
+    def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:
+        assert ciphername == "passthrough"
+        return ciphertext
+
+
+def _make_encrypted_serde(
+    allowed_msgpack_modules: (
+        _lg_msgpack.AllowedMsgpackModules | Literal[True] | None | object
+    ) = _lg_msgpack._SENTINEL,
+) -> EncryptedSerializer:
+    """Create an EncryptedSerializer with AES encryption for testing."""
+    inner = JsonPlusSerializer(
+        allowed_msgpack_modules=cast(
+            _lg_msgpack.AllowedMsgpackModules | Literal[True] | None,
+            allowed_msgpack_modules,
+        )
+    )
+    return EncryptedSerializer.from_pycryptodome_aes(
+        serde=inner, key=b"1234567890123456"
+    )
+
+
+def test_msgpack_method_pathlib_blocked_encrypted_strict(
+    tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
+) -> None:
+    target = tmp_path / "secret.txt"
+    target.write_text("secret")
+    payload = ormsgpack.packb(
+        ormsgpack.Ext(
+            EXT_METHOD_SINGLE_ARG,
+            _msgpack_enc(("pathlib", "Path", target, "read_text")),
+        ),
+        option=ormsgpack.OPT_NON_STR_KEYS,
+    )
+    serde = EncryptedSerializer(
+        _PassthroughCipher(),
+        JsonPlusSerializer(allowed_msgpack_modules=None),
+    )
+
+    caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
+    caplog.clear()
+    result = serde.loads_typed(("msgpack+passthrough", payload))
+
+    assert result == target
+    assert "blocked deserialization of method call pathlib.path.read_text" in (
+        caplog.text.lower()
+    )
+
+
+class TestEncryptedSerializerMsgpackAllowlist:
+    """Test msgpack allowlist behavior through EncryptedSerializer."""
+
+    def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
+        """Test safe types deserialize without warnings through encryption."""
+        serde = _make_encrypted_serde()
+
+        safe_objects = [
+            datetime.now(),
+            date.today(),
+            time(12, 30),
+            timezone.utc,
+            uuid.uuid4(),
+            Decimal("123.45"),
+            {1, 2, 3},
+            frozenset([1, 2, 3]),
+            deque([1, 2, 3]),
+            IPv4Address("192.168.1.1"),
+            pathlib.Path("/tmp/test"),
+        ]
+
+        for obj in safe_objects:
+            caplog.clear()
+            dumped = serde.dumps_typed(obj)
+            # Verify encryption is happening
+            assert "+aes" in dumped[0], f"Expected encryption for {type(obj)}"
+            result = serde.loads_typed(dumped)
+            assert "unregistered type" not in caplog.text.lower(), (
+                f"Unexpected warning for {type(obj)}"
+            )
+            assert result is not None
+
+    def test_pydantic_warns_by_default(self, caplog: pytest.LogCaptureFixture) -> None:
+        """Pydantic models not in allowlist should log warning but still deserialize."""
+        current = _lg_msgpack.STRICT_MSGPACK_ENABLED
+        _lg_msgpack.STRICT_MSGPACK_ENABLED = False
+        serde = _make_encrypted_serde()
+
+        obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+        caplog.clear()
+        dumped = serde.dumps_typed(obj)
+        assert "+aes" in dumped[0]
+        result = serde.loads_typed(dumped)
+
+        assert "unregistered type" in caplog.text.lower()
+        assert "allowed_msgpack_modules" in caplog.text
+        assert result == obj
+        _lg_msgpack.STRICT_MSGPACK_ENABLED = current
+
+    def test_strict_mode_blocks_unregistered(
+        self, caplog: pytest.LogCaptureFixture
+    ) -> None:
+        """Strict mode should block unregistered types through encryption."""
+        serde = _make_encrypted_serde(allowed_msgpack_modules=None)
+
+        obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+        caplog.clear()
+        dumped = serde.dumps_typed(obj)
+        assert "+aes" in dumped[0]
+        result = serde.loads_typed(dumped)
+
+        assert "blocked" in caplog.text.lower()
+        expected = obj.model_dump()
+        assert result == expected
+
+    def test_allowlist_silences_warning(self, caplog: pytest.LogCaptureFixture) -> None:
+        """Types in allowed_msgpack_modules should deserialize without warnings."""
+        serde = _make_encrypted_serde(
+            allowed_msgpack_modules=[
+                ("tests.test_encrypted", "MyPydantic"),
+                ("tests.test_encrypted", "InnerPydantic"),
+            ]
+        )
+
+        obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+        caplog.clear()
+        dumped = serde.dumps_typed(obj)
+        assert "+aes" in dumped[0]
+        result = serde.loads_typed(dumped)
+
+        assert "unregistered type" not in caplog.text.lower()
+        assert "blocked" not in caplog.text.lower()
+        assert result == obj
+
+    def test_allowlist_blocks_non_listed(
+        self, caplog: pytest.LogCaptureFixture
+    ) -> None:
+        """Allowlists should block unregistered types even through encryption."""
+        serde = _make_encrypted_serde(
+            allowed_msgpack_modules=[("tests.test_encrypted", "MyPydantic")]
+        )
+
+        obj = AnotherPydantic(foo="nope")
+
+        caplog.clear()
+        dumped = serde.dumps_typed(obj)
+        assert "+aes" in dumped[0]
+        result = serde.loads_typed(dumped)
+
+        assert "blocked" in caplog.text.lower()
+        expected = obj.model_dump()
+        assert result == expected
+
+    def test_safe_types_value_equality(self, caplog: pytest.LogCaptureFixture) -> None:
+        """Verify safe types are correctly restored with proper values through encryption."""
+        serde = _make_encrypted_serde(allowed_msgpack_modules=None)
+
+        test_cases = [
+            datetime(2024, 1, 15, 12, 30, 45, 123456),
+            date(2024, 6, 15),
+            time(14, 30, 0),
+            uuid.UUID("12345678-1234-5678-1234-567812345678"),
+            Decimal("123.456789"),
+            {1, 2, 3, 4, 5},
+            frozenset(["a", "b", "c"]),
+            deque([1, 2, 3]),
+            IPv4Address("10.0.0.1"),
+            pathlib.Path("/some/test/path"),
+            re.compile(r"\d+", re.MULTILINE),
+        ]
+
+        for obj in test_cases:
+            caplog.clear()
+            dumped = serde.dumps_typed(obj)
+            assert "+aes" in dumped[0], f"Expected encryption for {type(obj)}"
+            result = serde.loads_typed(dumped)
+
+            assert "blocked" not in caplog.text.lower(), f"Blocked for {type(obj)}"
+            if isinstance(obj, re.Pattern):
+                assert result.pattern == obj.pattern
+                assert result.flags == obj.flags
+            else:
+                assert result == obj, (
+                    f"Value mismatch for {type(obj)}: {result} != {obj}"
+                )
+
+    def test_regex_safe_type(self, caplog: pytest.LogCaptureFixture) -> None:
+        """re.compile patterns should deserialize without warnings as a safe type."""
+        serde = _make_encrypted_serde(allowed_msgpack_modules=None)
+        pattern = re.compile(r"foo.*bar", re.IGNORECASE | re.DOTALL)
+
+        caplog.clear()
+        dumped = serde.dumps_typed(pattern)
+        assert "+aes" in dumped[0]
+        result = serde.loads_typed(dumped)
+
+        assert "blocked" not in caplog.text.lower()
+        assert "unregistered" not in caplog.text.lower()
+        assert result.pattern == pattern.pattern
+        assert result.flags == pattern.flags
+
+
+class TestWithMsgpackAllowlistEncrypted:
+    """Test _with_msgpack_allowlist function with EncryptedSerializer."""
+
+    def test_propagates_allowlist_to_inner_serde(self) -> None:
+        """_with_msgpack_allowlist should propagate allowlist to inner JsonPlusSerializer."""
+        inner = JsonPlusSerializer(allowed_msgpack_modules=None)
+        encrypted = EncryptedSerializer.from_pycryptodome_aes(
+            serde=inner, key=b"1234567890123456"
+        )
+
+        extra = [("my.module", "MyClass")]
+        result = _with_msgpack_allowlist(encrypted, extra)
+
+        # Should return a new EncryptedSerializer
+        assert isinstance(result, EncryptedSerializer)
+        assert result is not encrypted
+        # Inner serde should have the allowlist
+        assert isinstance(result.serde, JsonPlusSerializer)
+        assert isinstance(result.serde._allowed_msgpack_modules, set)
+        assert ("my.module", "MyClass") in result.serde._allowed_msgpack_modules
+
+    def test_preserves_cipher(self) -> None:
+        """_with_msgpack_allowlist should preserve the cipher from the original."""
+        inner = JsonPlusSerializer(allowed_msgpack_modules=None)
+        encrypted = EncryptedSerializer.from_pycryptodome_aes(
+            serde=inner, key=b"1234567890123456"
+        )
+
+        result = _with_msgpack_allowlist(encrypted, [("my.module", "MyClass")])
+
+        assert isinstance(result, EncryptedSerializer)
+        # Should use the same cipher
+        assert result.cipher is encrypted.cipher
+
+    def test_returns_same_if_not_jsonplus_inner(self) -> None:
+        """_with_msgpack_allowlist should return same serde if inner is not JsonPlusSerializer."""
+
+        class DummyInnerSerde:
+            def dumps_typed(self, obj: object) -> tuple[str, bytes]:
+                return ("dummy", b"")
+
+            def loads_typed(self, data: tuple[str, bytes]) -> None:
+                return None
+
+        from langgraph.checkpoint.serde.base import CipherProtocol
+
+        class DummyCipher(CipherProtocol):
+            def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
+                return "dummy", plaintext
+
+            def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:
+                return ciphertext
+
+        encrypted = EncryptedSerializer(DummyCipher(), DummyInnerSerde())
+        result = _with_msgpack_allowlist(encrypted, [("my.module", "MyClass")])
+
+        assert result is encrypted
+
+    def test_warns_if_allowlist_unsupported(
+        self, caplog: pytest.LogCaptureFixture
+    ) -> None:
+        class DummySerde:
+            def dumps_typed(self, obj: object) -> tuple[str, bytes]:
+                return ("dummy", b"")
+
+            def loads_typed(self, data: tuple[str, bytes]) -> object:
+                return data
+
+        serde = DummySerde()
+        caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.base")
+        caplog.clear()
+
+        result = _with_msgpack_allowlist(serde, [("my.module", "MyClass")])
+
+        assert result is serde
+        assert "does not support msgpack allowlist" in caplog.text.lower()
+
+    def test_noop_allowlist_returns_same_encrypted_instance(self) -> None:
+        inner = JsonPlusSerializer(allowed_msgpack_modules=None)
+        encrypted = EncryptedSerializer.from_pycryptodome_aes(
+            serde=inner, key=b"1234567890123456"
+        )
+
+        result = _with_msgpack_allowlist(encrypted, ())
+
+        assert result is encrypted
+
+    def test_functional_roundtrip_with_allowlist(
+        self, caplog: pytest.LogCaptureFixture
+    ) -> None:
+        """End-to-end test: allowlist applied via _with_msgpack_allowlist works."""
+        inner = JsonPlusSerializer(allowed_msgpack_modules=None)
+        encrypted = EncryptedSerializer.from_pycryptodome_aes(
+            serde=inner, key=b"1234567890123456"
+        )
+
+        # Apply allowlist for MyPydantic
+        updated = _with_msgpack_allowlist(
+            encrypted,
+            [
+                ("tests.test_encrypted", "MyPydantic"),
+                ("tests.test_encrypted", "InnerPydantic"),
+            ],
+        )
+
+        obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+        caplog.clear()
+        dumped = updated.dumps_typed(obj)
+        assert "+aes" in dumped[0]
+        result = updated.loads_typed(dumped)
+
+        # Should deserialize without blocking
+        assert "blocked" not in caplog.text.lower()
+        assert result == obj
+
+    def test_original_still_blocks_after_with_allowlist(
+        self, caplog: pytest.LogCaptureFixture
+    ) -> None:
+        """Original serde should still block after _with_msgpack_allowlist creates a new one."""
+        inner = JsonPlusSerializer(allowed_msgpack_modules=None)
+        encrypted = EncryptedSerializer.from_pycryptodome_aes(
+            serde=inner, key=b"1234567890123456"
+        )
+
+        # Apply allowlist - this should create a NEW serde
+        _with_msgpack_allowlist(
+            encrypted,
+            [("tests.test_encrypted", "MyPydantic")],
+        )
+
+        # Original should still block
+        obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+        caplog.clear()
+        dumped = encrypted.dumps_typed(obj)
+        result = encrypted.loads_typed(dumped)
+
+        assert "blocked" in caplog.text.lower()
+        assert result == obj.model_dump()
+
+
+class TestEncryptedSerializerUnencryptedFallback:
+    """Test that EncryptedSerializer handles unencrypted data correctly."""
+
+    def test_loads_unencrypted_data(self) -> None:
+        """EncryptedSerializer should handle unencrypted data for backwards compat."""
+        plain = JsonPlusSerializer(allowed_msgpack_modules=None)
+        encrypted = _make_encrypted_serde(allowed_msgpack_modules=None)
+
+        obj = {"key": "value", "number": 42}
+
+        # Serialize with plain serde
+        dumped = plain.dumps_typed(obj)
+        assert "+aes" not in dumped[0]
+
+        # Should still deserialize with encrypted serde
+        result = encrypted.loads_typed(dumped)
+        assert result == obj
+
+
+def test_with_allowlist_uses_copy_protocol() -> None:
+    class CopyAwareSaver(BaseCheckpointSaver[str]):
+        def __init__(self) -> None:
+            super().__init__(serde=JsonPlusSerializer(allowed_msgpack_modules=None))
+            self.copy_was_used = False
+
+        def __copy__(self) -> object:
+            clone = object.__new__(self.__class__)
+            clone.__dict__ = self.__dict__.copy()
+            clone.copy_was_used = True
+            return clone
+
+    saver = CopyAwareSaver()
+
+    updated = saver.with_allowlist([("tests.test_encrypted", "MyPydantic")])
+
+    assert isinstance(updated, CopyAwareSaver)
+    assert updated is not saver
+    assert updated.copy_was_used is True
+    assert saver.copy_was_used is False

libs/checkpoint/tests/test_jsonplus.py

@@ -1,5 +1,6 @@
 import dataclasses
 import json
+import logging
 import pathlib
 import re
 import sys
@@ -13,15 +14,26 @@ from zoneinfo import ZoneInfo
 
 import dataclasses_json
 import numpy as np
+import ormsgpack
 import pandas as pd
 import pytest
+from langchain_core.documents.base import Document
+from langchain_core.messages import HumanMessage
 from pydantic import BaseModel, SecretStr
 from pydantic.v1 import BaseModel as BaseModelV1
 from pydantic.v1 import SecretStr as SecretStrV1
 
+from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
+from langgraph.checkpoint.serde._msgpack import AllowedMsgpackModules
+from langgraph.checkpoint.serde.event_hooks import (
+    SerdeEvent,
+    register_serde_event_listener,
+)
 from langgraph.checkpoint.serde.jsonplus import (
+    EXT_METHOD_SINGLE_ARG,
     InvalidModuleError,
     JsonPlusSerializer,
+    _msgpack_enc,
     _msgpack_ext_hook_to_json,
 )
 from langgraph.store.base import Item
@@ -37,6 +49,10 @@ class MyPydantic(BaseModel):
     inner: InnerPydantic
 
 
+class AnotherPydantic(BaseModel):
+    foo: str
+
+
 class InnerPydanticV1(BaseModelV1):
     hello: str
 
@@ -138,7 +154,27 @@ def test_serde_jsonplus() -> None:
         )
         to_serialize["my_secret_str_v1"] = SecretStrV1("meow")
 
-    serde = JsonPlusSerializer()
+    allowed_msgpack_modules: AllowedMsgpackModules = [
+        InnerDataclass,
+        MyDataclass,
+        MyDataclassWSlots,
+        MyEnum,
+        InnerPydantic,
+        MyPydantic,
+        # Testing that it supports both.
+        (Person.__module__, Person.__name__),
+        (SecretStr.__module__, SecretStr.__name__),
+    ]
+    if sys.version_info < (3, 14):
+        allowed_msgpack_modules.extend(  # type: ignore
+            [
+                (InnerPydanticV1.__module__, InnerPydanticV1.__name__),
+                (MyPydanticV1.__module__, MyPydanticV1.__name__),
+                (SecretStrV1.__module__, SecretStrV1.__name__),
+            ]
+        )
+
+    serde = JsonPlusSerializer(allowed_msgpack_modules=allowed_msgpack_modules)
 
     dumped = serde.dumps_typed(to_serialize)
 
@@ -512,5 +548,438 @@ def test_serde_jsonplus_pandas_series(series: pd.Series) -> None:
 
     assert dumped[0] == "pickle"
     result = serde.loads_typed(dumped)
-
     assert result.equals(series)
+
+
+def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None:
+    """Test safe types deserialize without warnings."""
+
+    serde = JsonPlusSerializer()
+
+    safe_objects = [
+        datetime.now(),
+        date.today(),
+        time(12, 30),
+        timezone.utc,
+        uuid.uuid4(),
+        Decimal("123.45"),
+        {1, 2, 3},
+        frozenset([1, 2, 3]),
+        deque([1, 2, 3]),
+        IPv4Address("192.168.1.1"),
+        pathlib.Path("/tmp/test"),
+    ]
+
+    for obj in safe_objects:
+        caplog.clear()
+        dumped = serde.dumps_typed(obj)
+        result = serde.loads_typed(dumped)
+        assert "unregistered type" not in caplog.text.lower(), (
+            f"Unexpected warning for {type(obj)}"
+        )
+        assert result is not None
+
+
+def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
+    """Pydantic models not in allowlist should log warning but still deserialize."""
+    current = _lg_msgpack.STRICT_MSGPACK_ENABLED
+    _lg_msgpack.STRICT_MSGPACK_ENABLED = False
+    serde = JsonPlusSerializer()
+
+    obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    assert "unregistered type" in caplog.text.lower()
+    assert "allowed_msgpack_modules" in caplog.text
+    assert result == obj
+    _lg_msgpack.STRICT_MSGPACK_ENABLED = current
+
+
+def test_msgpack_env_strict_default(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    """Strict msgpack env should default to blocking unregistered types."""
+    current = _lg_msgpack.STRICT_MSGPACK_ENABLED
+    _lg_msgpack.STRICT_MSGPACK_ENABLED = True
+    serde = JsonPlusSerializer()
+
+    obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    assert "blocked" in caplog.text.lower()
+    assert result == obj.model_dump()
+    _lg_msgpack.STRICT_MSGPACK_ENABLED = current
+
+
+def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) -> None:
+    """Types in allowed_msgpack_modules should deserialize without warnings."""
+
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=[
+            ("tests.test_jsonplus", "MyPydantic"),
+            ("tests.test_jsonplus", "InnerPydantic"),
+        ]
+    )
+
+    obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    assert "unregistered type" not in caplog.text.lower()
+    assert result == obj
+
+
+def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
+    """allowed_msgpack_modules=None should block unregistered types."""
+
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+
+    obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    assert "blocked" in caplog.text.lower()
+    expected = obj.model_dump()
+    assert result == expected
+
+
+def test_msgpack_allowlist_blocks_non_listed(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    """Allowlists should block unregistered types even if msgpack is enabled."""
+
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
+    )
+
+    obj = AnotherPydantic(foo="nope")
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    assert "blocked" in caplog.text.lower()
+    expected = obj.model_dump()
+    # It's not allowed, so we just leave it as a dict
+    assert result == expected
+
+
+def test_msgpack_blocked_emits_event() -> None:
+    events: list[SerdeEvent] = []
+    unregister = register_serde_event_listener(events.append)
+    try:
+        serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+        obj = AnotherPydantic(foo="nope")
+        serde.loads_typed(serde.dumps_typed(obj))
+    finally:
+        unregister()
+
+    assert {
+        "kind": "msgpack_blocked",
+        "module": "tests.test_jsonplus",
+        "name": "AnotherPydantic",
+    } in events
+
+
+def test_msgpack_unregistered_allowed_emits_event() -> None:
+    events: list[SerdeEvent] = []
+    unregister = register_serde_event_listener(events.append)
+    try:
+        serde = JsonPlusSerializer(allowed_msgpack_modules=True)
+        obj = AnotherPydantic(foo="ok")
+        serde.loads_typed(serde.dumps_typed(obj))
+    finally:
+        unregister()
+
+    assert {
+        "kind": "msgpack_unregistered_allowed",
+        "module": "tests.test_jsonplus",
+        "name": "AnotherPydantic",
+    } in events
+
+
+def test_msgpack_strict_allows_safe_types(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    """Safe types should still deserialize in strict mode without warnings."""
+
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    safe = uuid.uuid4()
+
+    caplog.clear()
+    dumped = serde.dumps_typed(safe)
+    result = serde.loads_typed(dumped)
+
+    assert "blocked" not in caplog.text.lower()
+    assert result == safe
+
+
+def test_msgpack_strict_allows_core_langchain_messages(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    msg = HumanMessage(content="hello")
+
+    caplog.clear()
+    result = serde.loads_typed(serde.dumps_typed(msg))
+
+    assert "blocked" not in caplog.text.lower()
+    assert "unregistered" not in caplog.text.lower()
+    assert isinstance(result, HumanMessage)
+    assert result == msg
+
+
+def test_msgpack_strict_allows_langchain_document(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    doc = Document(page_content="hello", metadata={"k": "v"})
+
+    caplog.clear()
+    result = serde.loads_typed(serde.dumps_typed(doc))
+
+    assert "blocked" not in caplog.text.lower()
+    assert "unregistered" not in caplog.text.lower()
+    assert isinstance(result, Document)
+    assert result == doc
+
+
+def test_msgpack_regex_safe_type(caplog: pytest.LogCaptureFixture) -> None:
+    """re.compile patterns should deserialize without warnings as a safe type."""
+
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    pattern = re.compile(r"foo.*bar", re.IGNORECASE | re.DOTALL)
+
+    caplog.clear()
+    dumped = serde.dumps_typed(pattern)
+    result = serde.loads_typed(dumped)
+
+    assert "blocked" not in caplog.text.lower()
+    assert "unregistered" not in caplog.text.lower()
+    assert result.pattern == pattern.pattern
+    assert result.flags == pattern.flags
+
+
+def test_msgpack_method_pathlib_blocked_in_strict(
+    tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
+) -> None:
+    target = tmp_path / "secret.txt"
+    target.write_text("secret")
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    payload = ormsgpack.packb(
+        ormsgpack.Ext(
+            EXT_METHOD_SINGLE_ARG,
+            _msgpack_enc(("pathlib", "Path", target, "read_text")),
+        ),
+        option=ormsgpack.OPT_NON_STR_KEYS,
+    )
+
+    caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
+    caplog.clear()
+    result = serde.loads_typed(("msgpack", payload))
+
+    assert result == target
+    assert "blocked deserialization of method call pathlib.path.read_text" in (
+        caplog.text.lower()
+    )
+
+
+def test_msgpack_method_pathlib_blocked_default_mode(
+    tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
+) -> None:
+    target = tmp_path / "secret.txt"
+    target.write_text("secret")
+    serde = JsonPlusSerializer(allowed_msgpack_modules=True)
+    payload = ormsgpack.packb(
+        ormsgpack.Ext(
+            EXT_METHOD_SINGLE_ARG,
+            _msgpack_enc(("pathlib", "Path", target, "read_text")),
+        ),
+        option=ormsgpack.OPT_NON_STR_KEYS,
+    )
+
+    caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
+    caplog.clear()
+    result = serde.loads_typed(("msgpack", payload))
+
+    assert result == target
+    assert "blocked deserialization of method call pathlib.path.read_text" in (
+        caplog.text.lower()
+    )
+
+
+def test_msgpack_regex_still_works_strict(caplog: pytest.LogCaptureFixture) -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    pattern = re.compile(r"pattern", re.IGNORECASE | re.MULTILINE)
+
+    caplog.clear()
+    result = serde.loads_typed(serde.dumps_typed(pattern))
+
+    assert "blocked" not in caplog.text.lower()
+    assert result.pattern == pattern.pattern
+    assert result.flags == pattern.flags
+
+
+def test_msgpack_path_constructor_still_works() -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    path_obj = pathlib.Path("/tmp/foo")
+
+    result = serde.loads_typed(serde.dumps_typed(path_obj))
+
+    assert result == path_obj
+
+
+def test_with_msgpack_allowlist_noop_returns_same_instance() -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+
+    result = serde.with_msgpack_allowlist(())
+
+    assert result is serde
+
+
+def test_with_msgpack_allowlist_supports_subclass_without_init_kwargs() -> None:
+    class CustomSerializer(JsonPlusSerializer):
+        def __init__(self) -> None:
+            super().__init__(allowed_msgpack_modules=None)
+
+    serde = CustomSerializer()
+    result = serde.with_msgpack_allowlist([MyDataclass])
+
+    assert isinstance(result, CustomSerializer)
+    assert result is not serde
+    assert serde._allowed_msgpack_modules is None
+    assert result._allowed_msgpack_modules == {
+        (MyDataclass.__module__, MyDataclass.__name__)
+    }
+
+
+def test_with_msgpack_allowlist_rebuilds_default_unpack_hook() -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    original_hook = serde._unpack_ext_hook
+
+    result = serde.with_msgpack_allowlist([MyDataclass])
+
+    assert result._unpack_ext_hook is not original_hook
+
+
+def test_with_msgpack_allowlist_preserves_custom_unpack_hook() -> None:
+    def custom_hook(code: int, data: bytes) -> None:
+        return None
+
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=None, __unpack_ext_hook__=custom_hook
+    )
+    result = serde.with_msgpack_allowlist([MyDataclass])
+
+    assert result._unpack_ext_hook is custom_hook
+
+
+@pytest.mark.skipif(sys.version_info >= (3, 14), reason="pydantic v1 not on 3.14+")
+def test_msgpack_pydantic_v1_allowlist(caplog: pytest.LogCaptureFixture) -> None:
+    """Pydantic v1 models in allowlist should deserialize without warnings."""
+
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=[
+            ("tests.test_jsonplus", "MyPydanticV1"),
+            ("tests.test_jsonplus", "InnerPydanticV1"),
+        ]
+    )
+
+    obj = MyPydanticV1(foo="test", bar=42, inner=InnerPydanticV1(hello="world"))
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    assert "unregistered type" not in caplog.text.lower()
+    assert "blocked" not in caplog.text.lower()
+    assert result == obj
+
+
+def test_msgpack_dataclass_allowlist(caplog: pytest.LogCaptureFixture) -> None:
+    """Dataclasses in allowlist should deserialize without warnings."""
+
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=[
+            ("tests.test_jsonplus", "MyDataclass"),
+            ("tests.test_jsonplus", "InnerDataclass"),
+        ]
+    )
+
+    obj = MyDataclass(foo="test", bar=42, inner=InnerDataclass(hello="world"))
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    assert "unregistered type" not in caplog.text.lower()
+    assert "blocked" not in caplog.text.lower()
+    assert result == obj
+
+
+def test_msgpack_safe_types_value_equality(caplog: pytest.LogCaptureFixture) -> None:
+    """Verify safe types are correctly restored with proper values."""
+
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+
+    test_cases = [
+        datetime(2024, 1, 15, 12, 30, 45, 123456),
+        date(2024, 6, 15),
+        time(14, 30, 0),
+        uuid.UUID("12345678-1234-5678-1234-567812345678"),
+        Decimal("123.456789"),
+        {1, 2, 3, 4, 5},
+        frozenset(["a", "b", "c"]),
+        deque([1, 2, 3]),
+        IPv4Address("10.0.0.1"),
+        pathlib.Path("/some/test/path"),
+        re.compile(r"\d+", re.MULTILINE),
+    ]
+
+    for obj in test_cases:
+        caplog.clear()
+        dumped = serde.dumps_typed(obj)
+        result = serde.loads_typed(dumped)
+
+        assert "blocked" not in caplog.text.lower(), f"Blocked for {type(obj)}"
+        # For regex patterns, compare pattern and flags
+        if isinstance(obj, re.Pattern):
+            assert result.pattern == obj.pattern
+            assert result.flags == obj.flags
+        else:
+            assert result == obj, f"Value mismatch for {type(obj)}: {result} != {obj}"
+
+
+def test_msgpack_nested_pydantic_serializes_as_dict(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    """Nested Pydantic models are serialized via model_dump() as dicts.
+
+    This means nested models don't go through the ext hook and don't need
+    to be in the allowlist - only the outer type does.
+    """
+
+    # Only allow outer type - inner is serialized as dict via model_dump()
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
+    )
+
+    obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
+
+    caplog.clear()
+    dumped = serde.dumps_typed(obj)
+    result = serde.loads_typed(dumped)
+
+    # No blocking should occur - inner is serialized as dict, not ext
+    assert "blocked" not in caplog.text.lower()
+    assert result == obj

libs/checkpoint/tests/test_memory.py

@@ -1,7 +1,9 @@
+import logging
 from typing import Any
 
 import pytest
 from langchain_core.runnables import RunnableConfig
+from pydantic import BaseModel
 
 from langgraph.checkpoint.base import (
     Checkpoint,
@@ -10,6 +12,11 @@ from langgraph.checkpoint.base import (
     empty_checkpoint,
 )
 from langgraph.checkpoint.memory import InMemorySaver
+from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
+
+
+class MemoryPydantic(BaseModel):
+    foo: str
 
 
 class TestMemorySaver:
@@ -199,3 +206,105 @@ async def test_memory_saver() -> None:
 
     with memory_saver as sync_memory_saver:
         assert sync_memory_saver is memory_saver
+
+
+def test_memory_saver_warns_on_unregistered_msgpack(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    serde = JsonPlusSerializer()
+    memory_saver = InMemorySaver(serde=serde)
+    obj = MemoryPydantic(foo="bar")
+
+    checkpoint = empty_checkpoint()
+    checkpoint["channel_values"] = {"foo": obj}
+    checkpoint["channel_versions"] = {"foo": 1}
+
+    config: RunnableConfig = {
+        "configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
+    }
+
+    caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
+    new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
+    result = memory_saver.get_tuple(new_config)
+
+    assert result is not None
+    assert "unregistered type" in caplog.text.lower()
+    assert result.checkpoint["channel_values"]["foo"] == obj
+
+
+def test_memory_saver_allowlist_silences_warning(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    serde = JsonPlusSerializer(
+        allowed_msgpack_modules=[("tests.test_memory", "MemoryPydantic")]
+    )
+    memory_saver = InMemorySaver(serde=serde)
+    obj = MemoryPydantic(foo="bar")
+
+    checkpoint = empty_checkpoint()
+    checkpoint["channel_values"] = {"foo": obj}
+    checkpoint["channel_versions"] = {"foo": 1}
+
+    config: RunnableConfig = {
+        "configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
+    }
+
+    caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
+    new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
+    result = memory_saver.get_tuple(new_config)
+
+    assert result is not None
+    assert "unregistered type" not in caplog.text.lower()
+    assert result.checkpoint["channel_values"]["foo"] == obj
+
+
+def test_memory_saver_strict_blocks_unregistered(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    memory_saver = InMemorySaver(serde=serde)
+    obj = MemoryPydantic(foo="bar")
+
+    checkpoint = empty_checkpoint()
+    checkpoint["channel_values"] = {"foo": obj}
+    checkpoint["channel_versions"] = {"foo": 1}
+
+    config: RunnableConfig = {
+        "configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
+    }
+
+    caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
+    new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
+    result = memory_saver.get_tuple(new_config)
+
+    assert result is not None
+    assert "blocked" in caplog.text.lower()
+    expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
+    assert result.checkpoint["channel_values"]["foo"] == expected
+
+
+def test_memory_saver_with_allowlist_proxy_isolated() -> None:
+    serde = JsonPlusSerializer(allowed_msgpack_modules=None)
+    memory_saver = InMemorySaver(serde=serde)
+    proxy = memory_saver.with_allowlist([("tests.test_memory", "MemoryPydantic")])
+
+    obj = MemoryPydantic(foo="bar")
+
+    checkpoint = empty_checkpoint()
+    checkpoint["channel_values"] = {"foo": obj}
+    checkpoint["channel_versions"] = {"foo": 1}
+
+    config: RunnableConfig = {
+        "configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
+    }
+
+    new_config = proxy.put(config, checkpoint, {}, {"foo": 1})
+
+    proxied = proxy.get_tuple(new_config)
+    assert proxied is not None
+    assert proxied.checkpoint["channel_values"]["foo"] == obj
+
+    direct = memory_saver.get_tuple(new_config)
+    assert direct is not None
+    expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
+    assert direct.checkpoint["channel_values"]["foo"] == expected