release(sdk-py): 0.3.12 (#7224)

Release Note: Impllemnets alpha support for server-side SWR w/ the cache

.github/dependabot.yml

@@ -4,15 +4,108 @@ updates:
     directory: "/"
     schedule:
       interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
 
-  - package-ecosystem: "pip"
-    directories:
-      - "libs/checkpoint"
-      - "libs/checkpoint-postgres"
-      - "libs/checkpoint-sqlite"
-      - "libs/cli"
-      - "libs/langgraph"
-      - "libs/prebuilt"
-      - "libs/sdk-py"
+  - package-ecosystem: "uv"
+    directory: "/libs/checkpoint"
     schedule:
       interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+  - package-ecosystem: "uv"
+    directory: "/libs/checkpoint-conformance"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+
+  - package-ecosystem: "uv"
+    directory: "/libs/checkpoint-postgres"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+  - package-ecosystem: "uv"
+    directory: "/libs/checkpoint-sqlite"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+  - package-ecosystem: "uv"
+    directory: "/libs/cli"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+  - package-ecosystem: "uv"
+    directory: "/libs/langgraph"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+  - package-ecosystem: "uv"
+    directory: "/libs/prebuilt"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+  - package-ecosystem: "uv"
+    directory: "/libs/sdk-py"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+  - package-ecosystem: "npm"
+    directory: "/libs/cli/js-examples"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"
+
+  - package-ecosystem: "npm"
+    directory: "/libs/cli/js-monorepo-example"
+    schedule:
+      interval: "weekly"
+      day: "monday"
+    groups:
+      all-dependencies:
+        patterns:
+          - "*"

.github/images/logo-dark.svg

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+</svg>

.github/images/logo-light.svg

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.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" != "1.1.2" ]; then
+            echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
             exit 1
           fi
           LANGCHAIN_OPENAI_VERSION=$(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
+      - uses: dorny/paths-filter@v4
+        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/

.markdownlint.json

@@ -0,0 +1,14 @@
+{
+  "MD013": false,
+  "MD024": {
+    "siblings_only": true
+  },
+  "MD025": false,
+  "MD033": false,
+  "MD034": false,
+  "MD036": false,
+  "MD041": false,
+  "MD046": {
+    "style": "fenced"
+  }
+}

README.md

@@ -1,90 +1,81 @@
-<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%">
-</picture>
-
-<div>
-<br>
+<div align="center">
+  <a href="https://www.langchain.com/langgraph">
+    <picture>
+      <source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
+      <source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
+      <img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
+    </picture>
+  </a>
 </div>
 
-[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
-[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
-[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
-[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
+<div align="center">
+  <h3>Low-level orchestration framework for building stateful agents.</h3>
+</div>
+
+<div align="center">
+  <a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
+  <a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
+  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
+  <a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
+</div>
+
+<br>
 
 Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
 
-## Get started
-
-Install LangGraph:
-
-```
+```bash
 pip install -U langgraph
 ```
 
-Create a simple workflow:
-
-```python
-from langgraph.graph import START, StateGraph
-from typing_extensions import TypedDict
-
-
-class State(TypedDict):
-    text: str
-
-
-def node_a(state: State) -> dict:
-    return {"text": state["text"] + "a"}
-
-
-def node_b(state: State) -> dict:
-    return {"text": state["text"] + "b"}
-
-
-graph = StateGraph(State)
-graph.add_node("node_a", node_a)
-graph.add_node("node_b", node_b)
-graph.add_edge(START, "node_a")
-graph.add_edge("node_a", "node_b")
-
-print(graph.compile().invoke({"text": ""}))
-# {'text': 'ab'}
-```
-
-Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
-
-To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
-
-## Core benefits
-
-LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
-
-- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
-- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
-- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
-- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
-- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
-
-## LangGraph’s ecosystem
-
-While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
-
-- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
-- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
-- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
+If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
 
 > [!NOTE]
-> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
+> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
+
+## Why use LangGraph?
+
+LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
+
+- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
+- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
+- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
+- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
+- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
+
+> [!TIP]
+> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
+
+## LangGraph ecosystem
+
+While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents.
+
+To improve your LLM application development, pair LangGraph with:
+
+- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
+- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
+- [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
+- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
+
+---
+
+## Documentation
+
+- [docs.langchain.com](https://docs.langchain.com/oss/python/langgraph/overview) – Comprehensive documentation, including conceptual overviews and guides
+- [reference.langchain.com/python/langgraph](https://reference.langchain.com/python/langgraph) – API reference docs for LangGraph packages
+- [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart) – Get started building with LangGraph
+- [Chat LangChain](https://chat.langchain.com/) – Chat with the LangChain documentation and get answers to your questions
+
+**Discussions**: Visit the [LangChain Forum](https://forum.langchain.com) to connect with the community and share all of your technical questions, ideas, and feedback.
 
 ## Additional resources
 
-- [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.
-- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
-- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
+- **[Guides](https://docs.langchain.com/oss/python/learn)** – Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- **[LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph)** – Learn the basics of LangGraph in our free, structured course.
+- **[Case studies](https://www.langchain.com/built-with-langgraph)** – Hear how industry leaders use LangGraph to ship AI applications at scale.
+- [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview) – Learn how to contribute to LangChain projects and find good first issues.
+- [Code of Conduct](https://github.com/langchain-ai/langchain/?tab=coc-ov-file) – Our community guidelines and standards for participation.
+
+---
 
 ## Acknowledgements
 

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",
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+  "/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",
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+  "/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",
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+  "/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",
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+  "/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",
+  "/cloud/concepts/cron_jobs": "https://docs.langchain.com/langsmith/cron-jobs",
+  "/cloud/how-tos/cron_jobs": "https://docs.langchain.com/langsmith/cron-jobs",
+  "/how-tos/http/custom_lifespan": "https://docs.langchain.com/langsmith/custom-lifespan",
+  "/how-tos/http/custom_middleware": "https://docs.langchain.com/langsmith/custom-middleware",
+  "/how-tos/http/custom_routes": "https://docs.langchain.com/langsmith/custom-routes",
+  "/cloud/concepts/data_storage_and_privacy": "https://docs.langchain.com/langsmith/data-storage-and-privacy",
+  "/cloud/deployment/semantic_search": "https://docs.langchain.com/langsmith/semantic-search",
+  "/how-tos/ttl/configure_ttl": "https://docs.langchain.com/langsmith/configure-ttl",
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+  "/cloud/quick_start": "https://docs.langchain.com/langsmith/deployment-quickstart",
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+  "/cloud/deployment/custom_docker": "https://docs.langchain.com/langsmith/custom-docker",
+  "/cloud/deployment/graph_rebuild": "https://docs.langchain.com/langsmith/graph-rebuild",
+  "/concepts/langgraph_cloud": "https://docs.langchain.com/langsmith/cloud",
+  "/concepts/langgraph_self_hosted_data_plane": "https://docs.langchain.com/langsmith/platform-setup",
+  "/concepts/langgraph_self_hosted_control_plane": "https://docs.langchain.com/langsmith/platform-setup",
+  "/concepts/langgraph_standalone_container": "https://docs.langchain.com/langsmith/docker",
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+  "/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"
+}

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: ChannelVersions = {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

@@ -164,12 +164,11 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         grouped_ops, num_ops = _group_ops(ops)
         results: list[Result] = [None] * num_ops
 
-        async with _ainternal.get_connection(self.conn) as conn:
-            if self.pipe:
-                async with self.pipe:
-                    await self._execute_batch(grouped_ops, results, conn)
-            else:
-                await self._execute_batch(grouped_ops, results, conn)
+        if self.pipe:
+            async with self.pipe:
+                await self._execute_batch(grouped_ops, results)
+        else:
+            await self._execute_batch(grouped_ops, results)
 
         return results
 
@@ -410,8 +409,10 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         self,
         grouped_ops: dict,
         results: list[Result],
-        conn: AsyncConnection[DictRow],
+        conn: AsyncConnection[DictRow] | None = None,
     ) -> None:
+        # Keep `conn` for compatibility with subclasses overriding this private hook.
+        # All database I/O goes through `_cursor()`, which owns connection acquisition.
         async with self._cursor(pipeline=True) as cur:
             if GetOp in grouped_ops:
                 await self._batch_get_ops(

libs/checkpoint-postgres/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.4"
+version = "3.0.5"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -13,7 +13,7 @@ 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",
 ]

libs/checkpoint-postgres/tests/test_async_store.py

@@ -20,6 +20,7 @@ from langgraph.store.base import (
 )
 from psycopg import AsyncConnection
 
+from langgraph.checkpoint.postgres import _ainternal
 from langgraph.store.postgres import AsyncPostgresStore
 from tests.conftest import (
     DEFAULT_URI,
@@ -346,6 +347,59 @@ async def test_batch_list_namespaces_ops(store: AsyncPostgresStore) -> None:
     assert ("test", "namespace2") in results[0]
 
 
+@asynccontextmanager
+async def _create_pool_store() -> AsyncIterator[AsyncPostgresStore]:
+    database = f"test_{uuid.uuid4().hex[:16]}"
+    uri_parts = DEFAULT_URI.split("/")
+    uri_base = "/".join(uri_parts[:-1])
+    query_params = ""
+    if "?" in uri_parts[-1]:
+        _, query_params = uri_parts[-1].split("?", 1)
+        query_params = "?" + query_params
+
+    conn_string = f"{uri_base}/{database}{query_params}"
+    admin_conn_string = DEFAULT_URI
+    async with await AsyncConnection.connect(
+        admin_conn_string, autocommit=True
+    ) as conn:
+        await conn.execute(f"CREATE DATABASE {database}")
+    try:
+        async with AsyncPostgresStore.from_conn_string(
+            conn_string, pool_config={"min_size": 1, "max_size": 1}
+        ) as store:
+            await store.setup()
+            yield store
+    finally:
+        async with await AsyncConnection.connect(
+            admin_conn_string, autocommit=True
+        ) as conn:
+            await conn.execute(f"DROP DATABASE {database}")
+
+
+async def test_abatch_uses_single_pool_checkout(monkeypatch) -> None:
+    async with _create_pool_store() as store:
+        await store.aput(("test",), "key1", {"data": "value1"})
+
+        original_get_connection = _ainternal.get_connection
+        checkout_count = 0
+
+        @asynccontextmanager
+        async def counting_get_connection(conn):
+            nonlocal checkout_count
+            checkout_count += 1
+            async with original_get_connection(conn) as checked_out_conn:
+                yield checked_out_conn
+
+        monkeypatch.setattr(_ainternal, "get_connection", counting_get_connection)
+
+        results = await store.abatch([GetOp(namespace=("test",), key="key1")])
+
+        assert len(results) == 1
+        assert results[0] is not None
+        assert results[0].value == {"data": "value1"}
+        assert checkout_count == 1
+
+
 @asynccontextmanager
 async def _create_vector_store(
     vector_type: str,

libs/checkpoint-postgres/uv.lock

@@ -134,11 +134,11 @@ wheels = [
 
 [[package]]
 name = "codespell"
-version = "2.4.1"
+version = "2.4.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/15/e0/709453393c0ea77d007d907dd436b3ee262e28b30995ea1aa36c6ffbccaf/codespell-2.4.1.tar.gz", hash = "sha256:299fcdcb09d23e81e35a671bbe746d5ad7e8385972e65dbb833a2eaac33c01e5", size = 344740, upload-time = "2025-01-28T18:52:39.411Z" }
+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 = [
-    { url = "https://files.pythonhosted.org/packages/20/01/b394922252051e97aab231d416c86da3d8a6d781eeadcdca1082867de64e/codespell-2.4.1-py3-none-any.whl", hash = "sha256:3dadafa67df7e4a3dbf51e0d7315061b80d265f9552ebd699b3dd6834b47e425", size = 344501, upload-time = "2025-01-28T18:52:37.057Z" },
+    { 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 = "1.2.7"
+version = "1.2.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -252,14 +252,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a2/0e/664d8d81b3493e09cbab72448d2f9d693d1fa5aa2bcc488602203a9b6da0/langchain_core-1.2.7.tar.gz", hash = "sha256:e1460639f96c352b4a41c375f25aeb8d16ffc1769499fb1c20503aad59305ced", size = 837039, upload-time = "2026-01-09T17:44:25.505Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/6e/6f/34a9fba14d191a67f7e2ee3dbce3e9b86d2fa7310e2c7f2c713583481bd2/langchain_core-1.2.7-py3-none-any.whl", hash = "sha256:452f4fef7a3d883357b22600788d37e3d8854ef29da345b7ac7099f33c31828b", size = 490232, upload-time = "2026-01-09T17:44:24.236Z" },
+    { 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" },
     { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
+    { name = "pycryptodome", specifier = ">=3.23.0" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -306,7 +307,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.4"
+version = "3.0.5"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -346,7 +347,7 @@ test = [
 [package.metadata]
 requires-dist = [
     { name = "langgraph-checkpoint", editable = "../checkpoint" },
-    { name = "orjson", specifier = ">=3.10.1" },
+    { name = "orjson", specifier = ">=3.11.5" },
     { name = "psycopg", specifier = ">=3.2.0" },
     { name = "psycopg-pool", specifier = ">=3.2.0" },
 ]
@@ -528,83 +529,83 @@ wheels = [
 
 [[package]]
 name = "orjson"
-version = "3.11.5"
+version = "3.11.7"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/04/b8/333fdb27840f3bf04022d21b654a35f58e15407183aeb16f3b41aa053446/orjson-3.11.5.tar.gz", hash = "sha256:82393ab47b4fe44ffd0a7659fa9cfaacc717eb617c93cde83795f14af5c2e9d5", size = 5972347, upload-time = "2025-12-06T15:55:39.458Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/53/45/b268004f745ede84e5798b48ee12b05129d19235d0e15267aa57dcdb400b/orjson-3.11.7.tar.gz", hash = "sha256:9b1a67243945819ce55d24a30b59d6a168e86220452d2c96f4d1f093e71c0c49", size = 6144992, upload-time = "2026-02-02T15:38:49.29Z" }
 wheels = [
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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/uv.lock

@@ -143,11 +143,11 @@ wheels = [
 
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@@ -249,7 +249,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.7"
+version = "1.2.11"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -261,14 +261,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
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 ]
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.0"
+version = "4.0.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -289,6 +289,7 @@ dev = [
     { name = "numpy" },
     { name = "pandas" },
     { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
+    { name = "pycryptodome", specifier = ">=3.23.0" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -531,83 +532,83 @@ wheels = [
 
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 ]
 
 [[package]]

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]
@@ -268,6 +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.
 
@@ -373,6 +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.
 
@@ -394,6 +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"
@@ -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

libs/checkpoint/uv.lock

@@ -148,11 +148,11 @@ wheels = [
 
 [[package]]
 name = "codespell"
-version = "2.4.1"
+version = "2.4.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/15/e0/709453393c0ea77d007d907dd436b3ee262e28b30995ea1aa36c6ffbccaf/codespell-2.4.1.tar.gz", hash = "sha256:299fcdcb09d23e81e35a671bbe746d5ad7e8385972e65dbb833a2eaac33c01e5", size = 344740, upload-time = "2025-01-28T18:52:39.411Z" }
+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" }
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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]]
@@ -267,7 +267,7 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.7"
+version = "1.2.19"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a2/0e/664d8d81b3493e09cbab72448d2f9d693d1fa5aa2bcc488602203a9b6da0/langchain_core-1.2.7.tar.gz", hash = "sha256:e1460639f96c352b4a41c375f25aeb8d16ffc1769499fb1c20503aad59305ced", size = 837039, upload-time = "2026-01-09T17:44:25.505Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ac/da/075720d37ebc668f48743bd540b047b2b08b8ba22b46d8f61166c5ad1d1c/langchain_core-1.2.19.tar.gz", hash = "sha256:87fa82c3eb4cc3d7a65f574cb447b5df09ec2131c8c2a0a02d4737ad02685438", size = 836647, upload-time = "2026-03-13T13:44:54.8Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/aa/cb/8704b2a22c0987627ed29464d23a45fb15e10a28fb482f4d84c3bddcbf27/langchain_core-1.2.19-py3-none-any.whl", hash = "sha256:6e74cb0fb443a8046ee298c05c99b67abe54cc57fcbc6d1cd3b0f2485ee47574", size = 503456, upload-time = "2026-03-13T13:44:53.241Z" },
 ]
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.0"
+version = "4.0.1"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -302,6 +302,7 @@ dev = [
     { name = "numpy", version = "2.4.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "pandas" },
     { name = "pandas-stubs" },
+    { name = "pycryptodome" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -341,6 +342,7 @@ dev = [
     { name = "numpy" },
     { name = "pandas" },
     { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
+    { name = "pycryptodome", specifier = ">=3.23.0" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -674,138 +676,139 @@ wheels = [
 
 [[package]]
 name = "orjson"
-version = "3.11.5"
+version = "3.11.6"
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+sdist = { url = "https://files.pythonhosted.org/packages/70/a3/4e09c61a5f0c521cba0bb433639610ae037437669f1a4cbc93799e731d78/orjson-3.11.6.tar.gz", hash = "sha256:0a54c72259f35299fd033042367df781c2f66d10252955ca1efb7db309b954cb", size = 6175856, upload-time = "2026-01-29T15:13:07.942Z" }
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 ]
 
 [[package]]

libs/cli/Makefile

@@ -1,4 +1,4 @@
-.PHONY: test lint format test-integration update-schema bump-version
+.PHONY: test lint type format test-integration update-schema bump-version
 
 ######################
 # TESTING AND COVERAGE
@@ -29,6 +29,9 @@ lint lint_diff lint_package lint_tests:
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
 	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || 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/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml

@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langgraph==1.0.2"
+  "langgraph==1.1.2"
 ]

libs/cli/examples/graph_prerelease_reqs/pyproject.toml

@@ -7,7 +7,7 @@ requires-python = ">=3.10"
 dependencies = [
   "langchain-openai==1.0.0a2",
   "langchain-anthropic==1.0.0a5",
-  "langgraph==1.0.2"
+  "langgraph==1.1.2"
 ]
 
 [tool.uv]

libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml

@@ -6,6 +6,6 @@ readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
   "langchain-openai==1.0.0a2",
-  "langgraph==1.0.0a2",
+  "langgraph==1.1.2",
   "langchain_community>=0.3.0",
 ]

libs/cli/generate_schema.py

@@ -20,6 +20,7 @@ from langgraph_cli.schemas import (
     Config,
     ConfigurableHeaderConfig,
     CorsConfig,
+    GraphDef,
     HttpConfig,
     IndexConfig,
     SecurityConfig,
@@ -108,6 +109,7 @@ def add_descriptions_to_schema(schema, cls):
             # Find the class that corresponds to this definition
             for potential_cls in [
                 Config,
+                GraphDef,
                 StoreConfig,
                 IndexConfig,
                 AuthConfig,

libs/cli/js-examples/package.json

@@ -21,25 +21,25 @@
     "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
   },
   "dependencies": {
-    "@langchain/core": "^0.3.2",
-    "@langchain/langgraph": "^0.2.5"
+    "@langchain/core": "^1.1.32",
+    "@langchain/langgraph": "^1.2.2"
   },
   "devDependencies": {
-    "@eslint/eslintrc": "^3.1.0",
-    "@eslint/js": "^9.9.1",
-    "@tsconfig/recommended": "^1.0.7",
-    "@types/jest": "^29.5.0",
-    "@typescript-eslint/eslint-plugin": "^5.59.8",
-    "@typescript-eslint/parser": "^5.59.8",
-    "dotenv": "^16.4.5",
-    "eslint": "^8.41.0",
-    "eslint-config-prettier": "^8.8.0",
-    "eslint-plugin-import": "^2.27.5",
+    "@eslint/eslintrc": "^3.3.5",
+    "@eslint/js": "^10.0.1",
+    "@tsconfig/recommended": "^1.0.13",
+    "@types/jest": "^30.0.0",
+    "@typescript-eslint/eslint-plugin": "^8.57.0",
+    "@typescript-eslint/parser": "^8.57.0",
+    "dotenv": "^17.3.1",
+    "eslint": "^10.0.3",
+    "eslint-config-prettier": "^10.1.8",
+    "eslint-plugin-import": "^2.32.0",
     "eslint-plugin-no-instanceof": "^1.0.1",
-    "eslint-plugin-prettier": "^4.2.1",
-    "jest": "^29.7.0",
-    "prettier": "^3.3.3",
-    "ts-jest": "^29.1.0",
-    "typescript": "^5.3.3"
+    "eslint-plugin-prettier": "^5.5.5",
+    "jest": "^30.3.0",
+    "prettier": "^3.8.1",
+    "ts-jest": "^29.4.6",
+    "typescript": "^5.9.3"
   }
 }

libs/cli/js-monorepo-example/apps/agent/package.json

@@ -9,10 +9,10 @@
   },
   "dependencies": {
     "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^0.3.2",
-    "@langchain/langgraph": "^0.2.5"
+    "@langchain/core": "^1.1.32",
+    "@langchain/langgraph": "^1.2.2"
   },
   "devDependencies": {
-    "typescript": "^5.3.3"
+    "typescript": "^5.9.3"
   }
 }

libs/cli/js-monorepo-example/libs/shared/package.json

@@ -9,6 +9,6 @@
     "clean": "rm -rf dist"
   },
   "devDependencies": {
-    "typescript": "^5.3.3"
+    "typescript": "^5.9.3"
   }
 }

libs/cli/js-monorepo-example/package.json

@@ -17,18 +17,18 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.5.0",
-    "typescript": "^5.3.3",
-    "@tsconfig/recommended": "^1.0.7",
-    "@eslint/eslintrc": "^3.1.0",
-    "@eslint/js": "^9.9.1",
-    "eslint": "^8.41.0",
-    "eslint-config-prettier": "^8.8.0",
+    "turbo": "^2.8.17",
+    "typescript": "^5.9.3",
+    "@tsconfig/recommended": "^1.0.13",
+    "@eslint/eslintrc": "^3.3.5",
+    "@eslint/js": "^10.0.1",
+    "eslint": "^10.0.3",
+    "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.27.5",
     "eslint-plugin-no-instanceof": "^1.0.1",
-    "eslint-plugin-prettier": "^4.2.1",
-    "@typescript-eslint/eslint-plugin": "^5.59.8",
-    "@typescript-eslint/parser": "^5.59.8",
-    "prettier": "^3.3.3"
+    "eslint-plugin-prettier": "^5.5.5",
+    "@typescript-eslint/eslint-plugin": "^8.57.0",
+    "@typescript-eslint/parser": "^8.57.0",
+    "prettier": "^3.8.1"
   }
 }

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.12"
+__version__ = "0.4.18"

libs/cli/langgraph_cli/config.py

@@ -1,3 +1,4 @@
+import copy
 import json
 import os
 import pathlib
@@ -13,6 +14,36 @@ from langgraph_cli.schemas import Config, Distros
 MIN_NODE_VERSION = "20"
 DEFAULT_NODE_VERSION = "20"
 
+DISALLOWED_BUILD_COMMAND_CHARS = [
+    '"',
+    "`",
+    "\\",
+    "\n",
+    "\r",
+    "\0",
+    "\t",
+    "|",
+    ";",
+    "$",
+    ">",
+    "<",
+]
+
+# Regex pattern matching a single "&" that is NOT part of "&&".
+# This blocks background execution (cmd &) while allowing command
+# chaining (cmd1 && cmd2) which is common in build commands.
+_SINGLE_AMPERSAND_RE = re.compile(r"(?<!&)&(?:&&)*(?!&)")
+
+
+def has_disallowed_build_command_content(command: str) -> bool:
+    """Check if a command string contains disallowed characters or patterns."""
+    if any(char in command for char in DISALLOWED_BUILD_COMMAND_CHARS):
+        return True
+    if _SINGLE_AMPERSAND_RE.search(command):
+        return True
+    return False
+
+
 MIN_PYTHON_VERSION = "3.11"
 DEFAULT_PYTHON_VERSION = "3.11"
 
@@ -196,6 +227,11 @@ def validate_config(config: Config) -> Config:
                 f"Python version {pyversion} is not supported. "
                 f"Minimum required version is {MIN_PYTHON_VERSION}."
             )
+        if "bullseye" in pyversion:
+            raise click.UsageError(
+                "Bullseye images were deprecated in version 0.4.13. "
+                "Please use 'bookworm' or 'debian' instead."
+            )
 
         if not config["dependencies"]:
             raise click.UsageError(
@@ -210,10 +246,15 @@ def validate_config(config: Config) -> Config:
 
     # Validate image_distro config
     if image_distro := config.get("image_distro"):
+        if image_distro == "bullseye":
+            raise click.UsageError(
+                "Bullseye images were deprecated in version 0.4.13. "
+                "Please use 'bookworm' or 'debian' instead."
+            )
         if image_distro not in Distros.__args__:
             raise click.UsageError(
                 f"Invalid image_distro: '{image_distro}'. "
-                "Must be one of 'debian', 'bullseye', or 'bookworm'."
+                "Must be one of 'debian', 'wolfi', or 'bookworm'."
             )
 
     if pip_installer := config.get("pip_installer"):
@@ -668,6 +709,51 @@ def _update_encryption_path(
     )
 
 
+def _update_checkpointer_path(
+    config_path: pathlib.Path, config: Config, local_deps: LocalDeps
+) -> None:
+    """Update checkpointer.path to use Docker container paths."""
+    checkpointer_conf = config.get("checkpointer")
+    if not checkpointer_conf or not isinstance(checkpointer_conf, dict):
+        return
+    if not (path_str := checkpointer_conf.get("path")):
+        return
+
+    module_str, sep, attr_str = path_str.partition(":")
+    if not sep or not module_str.startswith("."):
+        return  # Already validated or absolute path
+
+    resolved = config_path.parent / module_str
+    if not resolved.exists():
+        raise FileNotFoundError(
+            f"Checkpointer file not found: {resolved} (from {path_str})"
+        )
+    if not resolved.is_file():
+        raise IsADirectoryError(f"Checkpointer path must be a file: {resolved}")
+
+    # Check faux packages first (higher priority)
+    for faux_path, (_, destpath) in local_deps.faux_pkgs.items():
+        if resolved.is_relative_to(faux_path):
+            new_path = f"{destpath}/{resolved.relative_to(faux_path)}:{attr_str}"
+            checkpointer_conf["path"] = new_path
+            return
+
+    # Check real packages
+    for real_path in local_deps.real_pkgs:
+        if resolved.is_relative_to(real_path):
+            new_path = (
+                f"/deps/{real_path.name}/{resolved.relative_to(real_path)}:{attr_str}"
+            )
+            checkpointer_conf["path"] = new_path
+            return
+
+    raise ValueError(
+        f"Checkpointer file '{resolved}' not covered by dependencies.\n"
+        "Add its parent directory to the 'dependencies' array in your config.\n"
+        f"Current dependencies: {config['dependencies']}"
+    )
+
+
 def _update_http_app_path(
     config_path: pathlib.Path, config: Config, local_deps: LocalDeps
 ) -> None:
@@ -867,6 +953,8 @@ def python_config_to_docker(
     _update_auth_path(config_path, config, local_deps)
     # Rewrite encryption path, so it points to the correct location in the Docker container
     _update_encryption_path(config_path, config, local_deps)
+    # Rewrite checkpointer path, so it points to the correct location in the Docker container
+    _update_checkpointer_path(config_path, config, local_deps)
     # Rewrite HTTP app path, so it points to the correct location in the Docker container
     _update_http_app_path(config_path, config, local_deps)
 
@@ -1145,11 +1233,15 @@ def node_config_to_docker(
     return os.linesep.join(docker_file_contents), {}
 
 
-def default_base_image(config: Config) -> str:
+def default_base_image(
+    config: Config, engine_runtime_mode: str = "combined_queue_worker"
+) -> str:
     if config.get("base_image"):
         return config["base_image"]
     if config.get("node_version") and not config.get("python_version"):
         return "langchain/langgraphjs-api"
+    if engine_runtime_mode == "distributed":
+        return "langchain/langgraph-executor"
     return "langchain/langgraph-api"
 
 
@@ -1242,6 +1334,7 @@ def config_to_compose(
     api_version: str | None = None,
     image: str | None = None,
     watch: bool = False,
+    engine_runtime_mode: str = "combined_queue_worker",
 ) -> str:
     base_image = base_image or default_base_image(config)
 
@@ -1275,6 +1368,11 @@ def config_to_compose(
 """
 
     else:
+        # Save a pristine copy before config_to_docker mutates graph paths
+        config_snapshot = (
+            copy.deepcopy(config) if engine_runtime_mode == "distributed" else None
+        )
+
         dockerfile, additional_contexts = config_to_docker(
             config_path=config_path,
             config=config,
@@ -1292,7 +1390,7 @@ def config_to_compose(
             additional_contexts:
 {additional_contexts_str}"""
 
-        return f"""
+        result = f"""
 {textwrap.indent(env_vars_str, "            ")}
         {env_file_str}
         pull_policy: build
@@ -1302,3 +1400,60 @@ def config_to_compose(
 {textwrap.indent(dockerfile, "                ")}
         {watch_str}
 """
+
+        if engine_runtime_mode == "distributed":
+            executor_base_image = default_base_image(
+                config_snapshot, engine_runtime_mode="distributed"
+            )
+            executor_dockerfile, executor_additional_contexts = config_to_docker(
+                config_path=config_path,
+                config=config_snapshot,
+                base_image=executor_base_image,
+                api_version=api_version,
+                escape_variables=True,
+            )
+
+            executor_additional_contexts_str = "\n".join(
+                f"                    - {name}: {path}"
+                for name, path in executor_additional_contexts.items()
+            )
+            if executor_additional_contexts_str:
+                executor_additional_contexts_str = f"""
+                additional_contexts:
+{executor_additional_contexts_str}"""
+
+            postgres_uri = "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable"
+            result += f"""    langgraph-orchestrator:
+        image: langchain/langgraph-orchestrator-licensed:latest
+        depends_on:
+            langgraph-api:
+                condition: service_healthy
+            langgraph-postgres:
+                condition: service_healthy
+        environment:
+            DATABASE_URI: {postgres_uri}
+            EXECUTOR_TARGET: langgraph-executor:8188
+        {env_file_str}
+    langgraph-executor:
+        depends_on:
+            langgraph-postgres:
+                condition: service_healthy
+            langgraph-api:
+                condition: service_healthy
+        entrypoint: ["sh", "/storage/executor_entrypoint.sh"]
+        environment:
+            DATABASE_URI: {postgres_uri}
+            REDIS_URI: redis://langgraph-redis:6379
+            EXECUTOR_GRPC_PORT: "8188"
+            ENGINE_GRPC_ADDRESS: "langgraph-orchestrator:50054"
+            LSD_GRPC_SERVER_ADDRESS: "localhost:50050"
+            LANGGRAPH_HTTP: ""
+        {env_file_str}
+        pull_policy: build
+        build:
+            context: .{executor_additional_contexts_str}
+            dockerfile_inline: |
+{textwrap.indent(executor_dockerfile, "                ")}
+"""
+
+        return result

libs/cli/langgraph_cli/docker.py

@@ -149,6 +149,7 @@ def compose_as_dict(
     base_image: str | None = None,
     # API version of the base image
     api_version: str | None = None,
+    engine_runtime_mode: str = "combined_queue_worker",
 ) -> dict:
     """Create a docker compose file as a dictionary in YML style."""
     if postgres_uri is None:
@@ -207,15 +208,19 @@ def compose_as_dict(
         )["langgraph-debugger"]
 
     # Add langgraph-api service
+    api_environment = {
+        "REDIS_URI": "redis://langgraph-redis:6379",
+        "POSTGRES_URI": postgres_uri,
+    }
+    if engine_runtime_mode == "distributed":
+        api_environment["N_JOBS_PER_WORKER"] = '"0"'
+
     services["langgraph-api"] = {
         "ports": [f'"{port}:8000"'],
         "depends_on": {
             "langgraph-redis": {"condition": "service_healthy"},
         },
-        "environment": {
-            "REDIS_URI": "redis://langgraph-redis:6379",
-            "POSTGRES_URI": postgres_uri,
-        },
+        "environment": api_environment,
     }
     if image:
         services["langgraph-api"]["image"] = image
@@ -255,6 +260,7 @@ def compose(
     image: str | None = None,
     base_image: str | None = None,
     api_version: str | None = None,
+    engine_runtime_mode: str = "combined_queue_worker",
 ) -> str:
     """Create a docker compose file as a string."""
     compose_content = compose_as_dict(
@@ -266,6 +272,7 @@ def compose(
         image=image,
         base_image=base_image,
         api_version=api_version,
+        engine_runtime_mode=engine_runtime_mode,
     )
     compose_str = dict_to_yaml(compose_content)
     return compose_str

libs/cli/langgraph_cli/helpers.py

@@ -0,0 +1,59 @@
+"""Helpers for the ``langgraph logs`` CLI command."""
+
+from __future__ import annotations
+
+from datetime import datetime, timezone
+
+import click
+
+from langgraph_cli.host_backend import HostBackendClient
+
+
+def resolve_deployment_id(
+    client: HostBackendClient,
+    deployment_id: str | None,
+    name: str | None,
+) -> str:
+    """Resolve a deployment ID from --deployment-id or --name."""
+    if deployment_id:
+        return deployment_id
+    if not name:
+        raise click.UsageError("Either --deployment-id or --name is required.")
+    existing = client.list_deployments(name_contains=name)
+    if isinstance(existing, dict):
+        for dep in existing.get("resources", []):
+            if isinstance(dep, dict) and dep.get("name") == name:
+                found_id = dep.get("id")
+                if found_id:
+                    return str(found_id)
+    raise click.ClickException(f"Deployment '{name}' not found.")
+
+
+def format_timestamp(ts) -> str:
+    """Convert a timestamp (epoch ms or string) to a readable string."""
+    if isinstance(ts, (int, float)):
+        dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
+        return dt.strftime("%Y-%m-%d %H:%M:%S")
+    return str(ts) if ts else ""
+
+
+def format_log_entry(entry: dict) -> str:
+    """Format a single log entry for display."""
+    ts = format_timestamp(entry.get("timestamp", ""))
+    level = entry.get("level", "")
+    message = entry.get("message", "")
+    if ts and level:
+        return f"[{ts}] [{level}] {message}"
+    elif ts:
+        return f"[{ts}] {message}"
+    return message
+
+
+def level_fg(level: str) -> str | None:
+    """Return click color for a log level."""
+    level_upper = level.upper() if level else ""
+    if level_upper in {"ERROR", "CRITICAL"}:
+        return "red"
+    if level_upper == "WARNING":
+        return "yellow"
+    return None

libs/cli/langgraph_cli/host_backend.py

@@ -0,0 +1,143 @@
+"""HTTP client for LangGraph host backend deployments."""
+
+from __future__ import annotations
+
+from typing import Any
+
+import click
+import httpx
+
+
+class HostBackendError(click.ClickException):
+    """Raised when the host backend returns an error response."""
+
+    def __init__(self, message: str, status_code: int | None = None):
+        super().__init__(message)
+        self.status_code = status_code
+
+
+class HostBackendClient:
+    """Minimal JSON HTTP client for the host backend deployment service."""
+
+    def __init__(
+        self,
+        base_url: str,
+        api_key: str,
+        tenant_id: str | None = None,
+    ):
+        if not base_url:
+            raise click.UsageError("Host backend URL is required")
+        transport = httpx.HTTPTransport(retries=3)
+        headers: dict[str, str] = {
+            "X-Api-Key": api_key,
+            "Accept": "application/json",
+        }
+        if tenant_id:
+            headers["X-Tenant-ID"] = tenant_id
+        self._base_url = base_url.rstrip("/")
+        self._client = httpx.Client(
+            base_url=self._base_url,
+            headers=headers,
+            transport=transport,
+            timeout=30,
+        )
+
+    def _request(
+        self,
+        method: str,
+        path: str,
+        payload: dict[str, Any] | None = None,
+        params: dict[str, Any] | None = None,
+    ) -> Any:
+        try:
+            resp = self._client.request(method, path, json=payload, params=params)
+            resp.raise_for_status()
+        except httpx.HTTPStatusError as err:
+            detail = err.response.text or str(err.response.status_code)
+            raise HostBackendError(
+                f"{method} {path} failed with status {err.response.status_code}: {detail}",
+                status_code=err.response.status_code,
+            ) from None
+        except httpx.TransportError as err:
+            raise HostBackendError(str(err)) from None
+
+        if not resp.content:
+            return None
+        try:
+            return resp.json()
+        except ValueError as err:
+            raise HostBackendError(
+                f"Failed to decode response from {path}: {err}"
+            ) from None
+
+    def create_deployment(self, payload: dict[str, Any]) -> dict[str, Any]:
+        return self._request("POST", "/v2/deployments", payload)
+
+    def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
+        return self._request(
+            "GET",
+            "/v2/deployments",
+            params={"name_contains": name_contains},
+        )
+
+    def get_deployment(self, deployment_id: str) -> dict[str, Any]:
+        return self._request("GET", f"/v2/deployments/{deployment_id}")
+
+    def delete_deployment(self, deployment_id: str) -> None:
+        return self._request("DELETE", f"/v2/deployments/{deployment_id}")
+
+    def request_push_token(self, deployment_id: str) -> dict[str, Any]:
+        return self._request(
+            "POST",
+            f"/v2/deployments/{deployment_id}/push-token",
+        )
+
+    def update_deployment(
+        self,
+        deployment_id: str,
+        image_uri: str,
+        secrets: list[dict[str, str]] | None = None,
+    ) -> dict[str, Any]:
+        payload: dict[str, Any] = {
+            "source_revision_config": {"image_uri": image_uri},
+        }
+        if secrets is not None:
+            payload["secrets"] = secrets
+        return self._request(
+            "PATCH",
+            f"/v2/deployments/{deployment_id}",
+            payload,
+        )
+
+    def list_revisions(self, deployment_id: str, limit: int = 1) -> dict[str, Any]:
+        return self._request(
+            "GET",
+            f"/v2/deployments/{deployment_id}/revisions?limit={limit}",
+        )
+
+    def get_revision(self, deployment_id: str, revision_id: str) -> dict[str, Any]:
+        return self._request(
+            "GET",
+            f"/v2/deployments/{deployment_id}/revisions/{revision_id}",
+        )
+
+    def get_build_logs(
+        self, project_id: str, revision_id: str, payload: dict[str, Any]
+    ) -> Any:
+        return self._request(
+            "POST",
+            f"/v1/projects/{project_id}/revisions/{revision_id}/build_logs",
+            payload,
+        )
+
+    def get_deploy_logs(
+        self,
+        project_id: str,
+        payload: dict[str, Any],
+        revision_id: str | None = None,
+    ) -> Any:
+        if revision_id:
+            path = f"/v1/projects/{project_id}/revisions/{revision_id}/deploy_logs"
+        else:
+            path = f"/v1/projects/{project_id}/deploy_logs"
+        return self._request("POST", path, payload)

libs/cli/langgraph_cli/progress.py

@@ -12,8 +12,12 @@ class Progress:
         while True:
             yield from "|/-\\"
 
-    def __init__(self, *, message=""):
+    def __init__(self, *, message="", elapsed: bool = False):
         self.message = message
+        self._base_message = message
+        self._show_elapsed = elapsed
+        # use this to make sure we don't kill thread when we set msg to ""
+        self._stop = threading.Event()
         self.spinner_generator = self.spinning_cursor()
 
     def spinner_iteration(self):
@@ -29,9 +33,23 @@ class Progress:
         )
         sys.stdout.flush()
 
+    def _format_elapsed(self, seconds: float) -> str:
+        mins, secs = divmod(int(seconds), 60)
+        if mins:
+            return f"{self._base_message} ({mins}m {secs:02d}s)"
+        return f"{self._base_message} ({secs}s)"
+
     def spinner_task(self):
-        while self.message:
+        start = time.monotonic()
+        while not self._stop.is_set():
+            if not self.message:
+                time.sleep(self.delay)
+                continue
+            if self._show_elapsed:
+                self.message = self._format_elapsed(time.monotonic() - start)
             message = self.message
+            if not message:
+                continue
             sys.stdout.write(next(self.spinner_generator) + " " + message)
             sys.stdout.flush()
             time.sleep(self.delay)
@@ -50,21 +68,22 @@ class Progress:
 
             def set_message(message):
                 self.message = message
-                if not message:
-                    self.thread.join()
+                self._base_message = message or self._base_message
 
             return set_message
         else:
 
             def set_message(message):
-                sys.stderr.write(message + "\n")
-                sys.stderr.flush()
+                if message:
+                    sys.stderr.write(message + "\n")
+                    sys.stderr.flush()
 
             return set_message
 
     def __exit__(self, exception, value, tb):
         if sys.stdout.isatty():
             self.message = ""
+            self._stop.set()
             try:
                 self.thread.join()
             finally:

libs/cli/langgraph_cli/schemas.py

@@ -1,6 +1,6 @@
 from typing import Any, Literal, TypedDict
 
-Distros = Literal["debian", "wolfi", "bullseye", "bookworm"]
+Distros = Literal["debian", "wolfi", "bookworm"]
 MiddlewareOrders = Literal["auth_first", "middleware_first"]
 
 
@@ -107,17 +107,19 @@ class StoreConfig(TypedDict, total=False):
 class ThreadTTLConfig(TypedDict, total=False):
     """Configure a default TTL for checkpointed data within threads."""
 
-    strategy: Literal["delete"]
-    """Strategy to use for deleting checkpointed data.
-    
-    Choices:
-      - "delete": Delete all checkpoints for a thread after TTL expires.
+    strategy: Literal["delete", "keep_latest"]
+    """Action taken when a thread exceeds its TTL.
+
+    - "delete": Remove the thread and all its data entirely.
+    - "keep_latest": Prune old checkpoints but keep the thread and its latest state.
     """
     default_ttl: float | None
     """Default TTL (time-to-live) in minutes for checkpointed data."""
     sweep_interval_minutes: int | None
     """Interval in minutes between sweep iterations.
     If omitted, a default interval will be used (typically ~ 5 minutes)."""
+    sweep_limit: int | None
+    """Maximum number of threads to process per sweep iteration. Defaults to 1000."""
 
 
 class SerdeConfig(TypedDict, total=False):
@@ -126,7 +128,7 @@ class SerdeConfig(TypedDict, total=False):
     If omitted, no serde is set up (the object store will still be present, however)."""
 
     allowed_json_modules: list[list[str]] | bool | None
-    """Optional. List of allowed python modules to de-serialize custom objects from.
+    """Optional. List of allowed python modules to de-serialize custom objects from JSON.
     
     If provided, only the specified modules will be allowed to be deserialized.
     If omitted, no modules are allowed, and the object returned will simply be a json object OR
@@ -146,7 +148,34 @@ class SerdeConfig(TypedDict, total=False):
     Example:
     {...
         "serde": {
-            "allowed_json_modules": true
+            "allowed_json_modules": True
+        }
+    }
+
+    """
+    allowed_msgpack_modules: list[list[str]] | bool | None
+    """Optional. List of allowed python modules to de-serialize custom objects from msgpack.
+
+    Known safe types (langgraph.checkpoint.serde.jsonplus.SAFE_MSGPACK_TYPES) are always
+    allowed regardless of this setting. Use this to allowlist your custom Pydantic models,
+    dataclasses, and other user-defined types.
+
+    If True (default), unregistered types will log a warning but still be deserialized.
+    If None, only known safe types will be deserialized; unregistered types will be blocked.
+
+    Example - allowlist specific types (no warnings for these):
+    {...
+        "serde": {
+            "allowed_msgpack_modules": [
+                ["my_agent.models", "MyState"],
+            ]
+        }
+    }
+
+    Example - strict mode (only safe types allowed):
+    {...
+        "serde": {
+            "allowed_msgpack_modules": null
         }
     }
     
@@ -165,6 +194,26 @@ class CheckpointerConfig(TypedDict, total=False):
     If omitted, no checkpointer is set up (the object store will still be present, however).
     """
 
+    path: str
+    """Import path to an async context manager that yields a `BaseCheckpointSaver`
+    instance.
+
+    The referenced object should be an `@asynccontextmanager`-decorated function
+    so that the server can properly manage the checkpointer's lifecycle (e.g.
+    opening and closing connections).
+
+    Examples:
+    - "./my_checkpointer.py:create_checkpointer"
+    - "my_package.checkpointer:create_checkpointer"
+
+    When provided, this replaces the default checkpointer.
+
+    You can use the `langgraph-checkpoint-conformance` package
+    (https://pypi.org/project/langgraph-checkpoint-conformance/) to run simple
+    conformance tests against your custom checkpointer and catch
+    incompatibilities early.
+    """
+
     ttl: ThreadTTLConfig | None
     """Optional. Defines the TTL (time-to-live) behavior configuration.
     
@@ -173,14 +222,12 @@ class CheckpointerConfig(TypedDict, total=False):
     """
     serde: SerdeConfig | None
     """Optional. Defines the serde configuration.
-    
+
     If provided, the checkpointer will apply serde settings according to the configuration.
     If omitted, no serde behavior is configured.
 
     This configuration requires server version 0.5 or later to take effect.
     """
-    sweep_limit: int | None
-    """Maximum number of threads to process per sweep iteration. Defaults to 1000."""
 
 
 class SecurityConfig(TypedDict, total=False):
@@ -308,8 +355,7 @@ class EncryptionConfig(TypedDict, total=False):
     """Configuration for custom at-rest encryption logic.
 
     Allows you to implement custom encryption for sensitive data stored in the database,
-    including metadata fields and checkpoint blobs.
-    """
+    including metadata fields and checkpoint blobs."""
 
     path: str
     """Required. Path to an instance of the Encryption() class that implements custom encryption handlers.
@@ -509,6 +555,21 @@ class WebhookUrlPolicy(TypedDict, total=False):
     """Disallow relative URLs (internal loopback calls) when true."""
 
 
+class GraphDef(TypedDict, total=False):
+    """Definition of a graph with additional metadata."""
+
+    path: str
+    """Required. Import path to the graph object.
+
+    Format: "path/to/file.py:object_name"
+    """
+    description: str | None
+    """Optional. A description of the graph's purpose and functionality.
+
+    This description is surfaced in the API and can help users understand what the graph does.
+    """
+
+
 class WebhooksConfig(TypedDict, total=False):
     env_prefix: str
     """Required prefix for environment variables referenced in header templates.
@@ -559,7 +620,7 @@ class Config(TypedDict, total=False):
     image_distro: Distros | None
     """Optional. Linux distribution for the base image.
     
-    Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
+    Must be one of 'wolfi', 'debian', or 'bookworm'.
     If omitted, defaults to 'debian' ('latest').
     """
 
@@ -599,19 +660,23 @@ class Config(TypedDict, total=False):
     Defaults to an empty list, meaning no additional packages installed beyond your base environment.
     """
 
-    graphs: dict[str, str]
+    graphs: dict[str, str | GraphDef]
     """Optional. Named definitions of graphs, each pointing to a Python object.
 
-    
+
     Graphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context
     managers that accept a single configuration argument (of type RunnableConfig) and return a pregel object
     (instance of Stategraph, etc.).
-    
-    Keys are graph names, values are "path/to/file.py:object_name".
+
+    Keys are graph names, values are either "path/to/file.py:object_name" strings
+    or objects with a "path" key and optional "description" key.
     Example:
         {
             "mygraph": "graphs/my_graph.py:graph_definition",
-            "anothergraph": "graphs/another.py:get_graph"
+            "anothergraph": {
+                "path": "graphs/another.py:get_graph",
+                "description": "A graph that does X"
+            }
         }
     """
 
@@ -676,6 +741,7 @@ class Config(TypedDict, total=False):
 
 __all__ = [
     "Config",
+    "GraphDef",
     "StoreConfig",
     "CheckpointerConfig",
     "AuthConfig",

libs/cli/langgraph_cli/templates.py

@@ -8,31 +8,20 @@ from zipfile import ZipFile
 import click
 
 TEMPLATES: dict[str, dict[str, str]] = {
+    "Deep Agent": {
+        "description": "An opinionated deployment template for a Deep Agent.",
+        "python": "https://github.com/langchain-ai/deep-agent-template/archive/refs/heads/main.zip",
+        "js": "https://github.com/langchain-ai/deep-agent-template-js/archive/refs/heads/main.zip",
+    },
+    "Agent": {
+        "description": "A simple agent that can be flexibly extended to many tools.",
+        "python": "https://github.com/langchain-ai/simple-agent-template/archive/refs/heads/main.zip",
+    },
     "New LangGraph Project": {
         "description": "A simple, minimal chatbot with memory.",
         "python": "https://github.com/langchain-ai/new-langgraph-project/archive/refs/heads/main.zip",
         "js": "https://github.com/langchain-ai/new-langgraphjs-project/archive/refs/heads/main.zip",
     },
-    "ReAct Agent": {
-        "description": "A simple agent that can be flexibly extended to many tools.",
-        "python": "https://github.com/langchain-ai/react-agent/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/react-agent-js/archive/refs/heads/main.zip",
-    },
-    "Memory Agent": {
-        "description": "A ReAct-style agent with an additional tool to store memories for use across conversational threads.",
-        "python": "https://github.com/langchain-ai/memory-agent/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/memory-agent-js/archive/refs/heads/main.zip",
-    },
-    "Retrieval Agent": {
-        "description": "An agent that includes a retrieval-based question-answering system.",
-        "python": "https://github.com/langchain-ai/retrieval-agent-template/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/retrieval-agent-template-js/archive/refs/heads/main.zip",
-    },
-    "Data-enrichment Agent": {
-        "description": "An agent that performs web searches and organizes its findings into a structured format.",
-        "python": "https://github.com/langchain-ai/data-enrichment/archive/refs/heads/main.zip",
-        "js": "https://github.com/langchain-ai/data-enrichment-js/archive/refs/heads/main.zip",
-    },
 }
 
 # Generate TEMPLATE_IDS programmatically
@@ -78,19 +67,25 @@ def _choose_template() -> str:
         click.secho("❌ Invalid choice. Please try again.", fg="red")
         return _choose_template()
 
-    # Prompt the user to choose between Python or JS/TS version
+    template_info = TEMPLATES[selected_template]
+    available_langs = [lang for lang in ("python", "js") if lang in template_info]
+
     click.secho(
-        f"\nYou selected: {selected_template} - {TEMPLATES[selected_template]['description']}",
+        f"\nYou selected: {selected_template} - {template_info['description']}",
         fg="green",
     )
+
+    if len(available_langs) == 1:
+        return template_info[available_langs[0]]
+
     version_choice: int = click.prompt(
         "Choose language (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
     )
 
     if version_choice == 1:
-        return TEMPLATES[selected_template]["python"]
+        return template_info["python"]
     elif version_choice == 2:
-        return TEMPLATES[selected_template]["js"]
+        return template_info["js"]
     else:
         click.secho("❌ Invalid choice. Please try again.", fg="red")
         return _choose_template()
@@ -130,37 +125,6 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
         sys.exit(1)
 
 
-def _get_template_url(template_name: str) -> str | None:
-    """
-    Retrieves the template URL based on the provided template name.
-
-    Args:
-        template_name: The name of the template.
-
-    Returns:
-        Optional[str]: The URL of the template if found, else None.
-    """
-    if template_name in TEMPLATES:
-        click.secho(f"Template selected: {template_name}", fg="green")
-        version_choice: int = click.prompt(
-            "Choose version (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
-        )
-
-        if version_choice == 1:
-            return TEMPLATES[template_name]["python"]
-        elif version_choice == 2:
-            return TEMPLATES[template_name]["js"]
-        else:
-            click.secho("❌ Invalid choice. Please try again.", fg="red")
-            return None
-    else:
-        click.secho(
-            f"Template '{template_name}' not found. Please select from the available options.",
-            fg="red",
-        )
-        return None
-
-
 def create_new(path: str | None, template: str | None) -> None:
     """Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
 

libs/cli/langgraph_cli/util.py

@@ -1,3 +1,5 @@
+from collections.abc import Sequence
+
 import click
 
 
@@ -23,3 +25,35 @@ def warn_non_wolfi_distro(config_json: dict) -> None:
             fg="yellow",
         )
         click.secho("")  # Empty line for better readability
+
+
+def _extract_deployment_url(deployment: dict[str, object]) -> str:
+    source_config = deployment.get("source_config")
+    if isinstance(source_config, dict):
+        custom_url = source_config.get("custom_url")
+        if isinstance(custom_url, str) and custom_url:
+            return custom_url
+    return "-"
+
+
+def format_deployments_table(deployments: Sequence[dict[str, object]]) -> str:
+    headers = ("Deployment ID", "Deployment Name", "Deployment URL")
+    rows = [
+        (
+            str(deployment.get("id", "-") or "-"),
+            str(deployment.get("name", "-") or "-"),
+            _extract_deployment_url(deployment),
+        )
+        for deployment in deployments
+    ]
+    widths = [
+        max(len(headers[index]), *(len(row[index]) for row in rows))
+        for index in range(len(headers))
+    ]
+
+    def format_row(row: Sequence[str]) -> str:
+        return "  ".join(value.ljust(widths[index]) for index, value in enumerate(row))
+
+    lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
+    lines.extend(format_row(row) for row in rows)
+    return "\n".join(lines)

libs/cli/pyproject.toml

@@ -13,7 +13,9 @@ license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
     "click>=8.1.7",
+    "httpx>=0.24.0",
     "langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
+    "python-dotenv>=0.8.0",
 ]
 [tool.hatch.version]
 path = "langgraph_cli/__init__.py"
@@ -21,7 +23,6 @@ path = "langgraph_cli/__init__.py"
 inmem = [
     "langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
     "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
-    "python-dotenv>=0.8.0",
 ]
 
 [project.urls]

libs/cli/schemas/schema.json

@@ -127,9 +127,16 @@
             "graphs": {
               "type": "object",
               "additionalProperties": {
-                "type": "string"
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
               },
-              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n"
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
             },
             "http": {
               "anyOf": [
@@ -147,7 +154,6 @@
                 {
                   "enum": [
                     "bookworm",
-                    "bullseye",
                     "debian",
                     "wolfi"
                   ]
@@ -156,7 +162,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -342,9 +348,16 @@
             "graphs": {
               "type": "object",
               "additionalProperties": {
-                "type": "string"
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
               },
-              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n"
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
             },
             "http": {
               "anyOf": [
@@ -370,7 +383,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -543,6 +556,10 @@
       "description": "Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).",
       "type": "object",
       "properties": {
+        "path": {
+          "type": "string",
+          "description": "Import path to an async context manager that yields a `BaseCheckpointSaver`\ninstance.\n\nThe referenced object should be an `@asynccontextmanager`-decorated function\nso that the server can properly manage the checkpointer's lifecycle (e.g.\nopening and closing connections).\n"
+        },
         "serde": {
           "anyOf": [
             {
@@ -554,17 +571,6 @@
           ],
           "description": "Optional. Defines the serde configuration.\n\nIf provided, the checkpointer will apply serde settings according to the configuration.\nIf omitted, no serde behavior is configured.\n\nThis configuration requires server version 0.5 or later to take effect.\n"
         },
-        "sweep_limit": {
-          "anyOf": [
-            {
-              "type": "integer"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Maximum number of threads to process per sweep iteration. Defaults to 1000."
-        },
         "ttl": {
           "anyOf": [
             {
@@ -602,7 +608,27 @@
               "type": "null"
             }
           ],
-          "description": "Optional. List of allowed python modules to de-serialize custom objects from.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
+          "description": "Optional. List of allowed python modules to de-serialize custom objects from JSON.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
+        },
+        "allowed_msgpack_modules": {
+          "anyOf": [
+            {
+              "type": "array",
+              "items": {
+                "type": "array",
+                "items": {
+                  "type": "string"
+                }
+              }
+            },
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. List of allowed python modules to de-serialize custom objects from msgpack.\n\nKnown safe types (langgraph.checkpoint.serde.jsonplus.SAFE_MSGPACK_TYPES) are always\nallowed regardless of this setting. Use this to allowlist your custom Pydantic models,\ndataclasses, and other user-defined types.\n\nIf True (default), unregistered types will log a warning but still be deserialized.\nIf None, only known safe types will be deserialized; unregistered types will be blocked.\n\n{...\n[\"my_agent.models\", \"MyState\"],\n]\n}\n}\n\n{...\n}\n}\n\n"
         },
         "pickle_fallback": {
           "type": "boolean",
@@ -629,9 +655,10 @@
         },
         "strategy": {
           "enum": [
-            "delete"
+            "delete",
+            "keep_latest"
           ],
-          "description": "Strategy to use for deleting checkpointed data.\n"
+          "description": "Action taken when a thread exceeds its TTL.\n\n"
         },
         "sweep_interval_minutes": {
           "anyOf": [
@@ -643,6 +670,17 @@
             }
           ],
           "description": "Interval in minutes between sweep iterations.\nIf omitted, a default interval will be used (typically ~ 5 minutes)."
+        },
+        "sweep_limit": {
+          "anyOf": [
+            {
+              "type": "integer"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Maximum number of threads to process per sweep iteration. Defaults to 1000."
         }
       },
       "required": []
@@ -658,6 +696,29 @@
       },
       "required": []
     },
+    "GraphDef": {
+      "title": "GraphDef",
+      "description": "Definition of a graph with additional metadata.",
+      "type": "object",
+      "properties": {
+        "description": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. A description of the graph's purpose and functionality.\n\nThis description is surfaced in the API and can help users understand what the graph does.\n"
+        },
+        "path": {
+          "type": "string",
+          "description": "Required. Import path to the graph object.\n"
+        }
+      },
+      "required": []
+    },
     "HttpConfig": {
       "title": "HttpConfig",
       "description": "Configuration for the built-in HTTP server that powers your deployment's routes and endpoints.",

libs/cli/schemas/schema.v0.json

@@ -127,9 +127,16 @@
             "graphs": {
               "type": "object",
               "additionalProperties": {
-                "type": "string"
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
               },
-              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n"
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
             },
             "http": {
               "anyOf": [
@@ -147,7 +154,6 @@
                 {
                   "enum": [
                     "bookworm",
-                    "bullseye",
                     "debian",
                     "wolfi"
                   ]
@@ -156,7 +162,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -342,9 +348,16 @@
             "graphs": {
               "type": "object",
               "additionalProperties": {
-                "type": "string"
+                "anyOf": [
+                  {
+                    "type": "string"
+                  },
+                  {
+                    "$ref": "#/$defs/GraphDef"
+                  }
+                ]
               },
-              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n"
+              "description": "Optional. Named definitions of graphs, each pointing to a Python object.\n\n\nGraphs can be StateGraph, @entrypoint, or any other Pregel object OR they can point to (async) context\nmanagers that accept a single configuration argument (of type RunnableConfig) and return a pregel object\n(instance of Stategraph, etc.).\n\nor objects with a \"path\" key and optional \"description\" key."
             },
             "http": {
               "anyOf": [
@@ -370,7 +383,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -543,6 +556,10 @@
       "description": "Configuration for the built-in checkpointer, which handles checkpointing of state.\n\nIf omitted, no checkpointer is set up (the object store will still be present, however).",
       "type": "object",
       "properties": {
+        "path": {
+          "type": "string",
+          "description": "Import path to an async context manager that yields a `BaseCheckpointSaver`\ninstance.\n\nThe referenced object should be an `@asynccontextmanager`-decorated function\nso that the server can properly manage the checkpointer's lifecycle (e.g.\nopening and closing connections).\n"
+        },
         "serde": {
           "anyOf": [
             {
@@ -554,17 +571,6 @@
           ],
           "description": "Optional. Defines the serde configuration.\n\nIf provided, the checkpointer will apply serde settings according to the configuration.\nIf omitted, no serde behavior is configured.\n\nThis configuration requires server version 0.5 or later to take effect.\n"
         },
-        "sweep_limit": {
-          "anyOf": [
-            {
-              "type": "integer"
-            },
-            {
-              "type": "null"
-            }
-          ],
-          "description": "Maximum number of threads to process per sweep iteration. Defaults to 1000."
-        },
         "ttl": {
           "anyOf": [
             {
@@ -602,7 +608,27 @@
               "type": "null"
             }
           ],
-          "description": "Optional. List of allowed python modules to de-serialize custom objects from.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
+          "description": "Optional. List of allowed python modules to de-serialize custom objects from JSON.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
+        },
+        "allowed_msgpack_modules": {
+          "anyOf": [
+            {
+              "type": "array",
+              "items": {
+                "type": "array",
+                "items": {
+                  "type": "string"
+                }
+              }
+            },
+            {
+              "type": "boolean"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. List of allowed python modules to de-serialize custom objects from msgpack.\n\nKnown safe types (langgraph.checkpoint.serde.jsonplus.SAFE_MSGPACK_TYPES) are always\nallowed regardless of this setting. Use this to allowlist your custom Pydantic models,\ndataclasses, and other user-defined types.\n\nIf True (default), unregistered types will log a warning but still be deserialized.\nIf None, only known safe types will be deserialized; unregistered types will be blocked.\n\n{...\n[\"my_agent.models\", \"MyState\"],\n]\n}\n}\n\n{...\n}\n}\n\n"
         },
         "pickle_fallback": {
           "type": "boolean",
@@ -629,9 +655,10 @@
         },
         "strategy": {
           "enum": [
-            "delete"
+            "delete",
+            "keep_latest"
           ],
-          "description": "Strategy to use for deleting checkpointed data.\n"
+          "description": "Action taken when a thread exceeds its TTL.\n\n"
         },
         "sweep_interval_minutes": {
           "anyOf": [
@@ -643,6 +670,17 @@
             }
           ],
           "description": "Interval in minutes between sweep iterations.\nIf omitted, a default interval will be used (typically ~ 5 minutes)."
+        },
+        "sweep_limit": {
+          "anyOf": [
+            {
+              "type": "integer"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Maximum number of threads to process per sweep iteration. Defaults to 1000."
         }
       },
       "required": []
@@ -658,6 +696,29 @@
       },
       "required": []
     },
+    "GraphDef": {
+      "title": "GraphDef",
+      "description": "Definition of a graph with additional metadata.",
+      "type": "object",
+      "properties": {
+        "description": {
+          "anyOf": [
+            {
+              "type": "string"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. A description of the graph's purpose and functionality.\n\nThis description is surfaced in the API and can help users understand what the graph does.\n"
+        },
+        "path": {
+          "type": "string",
+          "description": "Required. Import path to the graph object.\n"
+        }
+      },
+      "required": []
+    },
     "HttpConfig": {
       "title": "HttpConfig",
       "description": "Configuration for the built-in HTTP server that powers your deployment's routes and endpoints.",

libs/cli/tests/unit_tests/cli/test_cli.py

@@ -9,6 +9,7 @@ from pathlib import Path
 
 from click.testing import CliRunner
 
+import langgraph_cli.cli as cli_module
 from langgraph_cli.cli import cli, prepare_args_and_stdin
 from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
 from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -287,6 +288,238 @@ def test_version_option() -> None:
     )
 
 
+def test_top_level_help_shows_deploy_subcommands() -> None:
+    runner = CliRunner()
+
+    result = runner.invoke(cli, ["--help"])
+
+    assert result.exit_code == 0, result.output
+    assert "deploy" in result.output
+    assert "deploy list" in result.output
+    assert "deploy delete" in result.output
+    assert "[Beta] List LangSmith Deployments." in result.output
+
+
+def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
+    runner = CliRunner()
+
+    result = runner.invoke(cli, ["--help"])
+
+    assert result.exit_code == 0, result.output
+    lines = result.output.splitlines()
+    deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
+    deploy_list_line = next(
+        line for line in lines if line.strip().startswith("deploy list")
+    )
+
+    assert not lines[lines.index(deploy_line) + 1].startswith("               ")
+    assert "..." in deploy_line
+    assert "[Beta] List LangSmith Deployments." in deploy_list_line
+
+
+def test_deploy_list_command(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def list_deployments(self, name_contains: str = ""):
+            captured["name_contains"] = name_contains
+            return {
+                "resources": [
+                    {
+                        "id": "dep-123",
+                        "name": "alpha",
+                        "source_config": {"custom_url": "https://alpha.example.com"},
+                    },
+                    {
+                        "id": "dep-456",
+                        "name": "beta",
+                        "source_config": {"custom_url": "https://beta.example.com"},
+                    },
+                ]
+            }
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "list",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "--name-contains",
+            "alp",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "name_contains": "alp",
+    }
+    assert "Deployment ID" in result.output
+    assert "Deployment Name" in result.output
+    assert "Deployment URL" in result.output
+    assert "dep-123" in result.output
+    assert "https://beta.example.com" in result.output
+
+
+def test_deploy_list_command_no_results(monkeypatch) -> None:
+    runner = CliRunner()
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            pass
+
+        def list_deployments(self, name_contains: str = ""):
+            return {"resources": []}
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "list",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert result.output.strip() == "No deployments found."
+
+
+def test_deploy_delete_command(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def delete_deployment(self, deployment_id: str):
+            captured["deployment_id"] = deployment_id
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+        input="y\n",
+    )
+
+    assert result.exit_code == 0, result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "deployment_id": "dep-123",
+    }
+    assert (
+        "Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
+    )
+    assert result.output.strip().endswith("Deleted deployment dep-123.")
+
+
+def test_deploy_delete_command_cancelled(monkeypatch) -> None:
+    runner = CliRunner()
+    deleted = False
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            pass
+
+        def delete_deployment(self, deployment_id: str):
+            nonlocal deleted
+            deleted = True
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+        input="n\n",
+    )
+
+    assert result.exit_code == 1, result.output
+    assert not deleted
+    assert "Aborted!" in result.output
+
+
+def test_deploy_delete_command_force(monkeypatch) -> None:
+    runner = CliRunner()
+    captured: dict[str, str] = {}
+
+    class FakeClient:
+        def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
+            captured["host_url"] = host_url
+            captured["api_key"] = api_key
+            captured["tenant_id"] = tenant_id or ""
+
+        def delete_deployment(self, deployment_id: str):
+            captured["deployment_id"] = deployment_id
+            return None
+
+    monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
+
+    result = runner.invoke(
+        cli,
+        [
+            "deploy",
+            "delete",
+            "--force",
+            "--api-key",
+            "test-key",
+            "--host-url",
+            "https://api.example.com",
+            "dep-123",
+        ],
+    )
+
+    assert result.exit_code == 0, result.output
+    assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
+    assert captured == {
+        "host_url": "https://api.example.com",
+        "api_key": "test-key",
+        "tenant_id": "",
+        "deployment_id": "dep-123",
+    }
+    assert result.output.strip() == "Deleted deployment dep-123."
+
+
 def test_dockerfile_command_basic() -> None:
     """Test the 'dockerfile' command with basic configuration."""
     runner = CliRunner()
@@ -822,3 +1055,139 @@ def test_prepare_args_and_stdin_with_api_version_and_image() -> None:
     # When image is provided, api_version should be ignored for the image
     # but the stdin should not contain a build section (since image is provided)
     assert "pull_policy: build" not in actual_stdin
+
+
+def test_dockerfile_command_distributed_mode() -> None:
+    """Test the 'dockerfile' command with --engine-runtime-mode distributed."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--engine-runtime-mode",
+                "distributed",
+            ],
+        )
+
+        assert result.exit_code == 0, result.output
+        assert "✅ Created: Dockerfile" in result.output
+
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM langchain/langgraph-executor:3.11" in dockerfile
+
+
+def test_dockerfile_command_combined_mode() -> None:
+    """Test the 'dockerfile' command with --engine-runtime-mode combined_queue_worker."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--engine-runtime-mode",
+                "combined_queue_worker",
+            ],
+        )
+
+        assert result.exit_code == 0, result.output
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM langchain/langgraph-api:3.11" in dockerfile
+
+
+def test_dockerfile_command_distributed_with_explicit_base_image() -> None:
+    """Test distributed mode with explicit --base-image overrides executor default."""
+    runner = CliRunner()
+    config_content = {
+        "python_version": "3.11",
+        "graphs": {"agent": "agent.py:graph"},
+        "dependencies": ["."],
+    }
+
+    with temporary_config_folder(config_content) as temp_dir:
+        save_path = temp_dir / "Dockerfile"
+        agent_path = temp_dir / "agent.py"
+        agent_path.touch()
+
+        result = runner.invoke(
+            cli,
+            [
+                "dockerfile",
+                str(save_path),
+                "--config",
+                str(temp_dir / "config.json"),
+                "--engine-runtime-mode",
+                "distributed",
+                "--base-image",
+                "my-custom-executor:latest",
+            ],
+        )
+
+        assert result.exit_code == 0, result.output
+        assert save_path.exists()
+        with open(save_path) as f:
+            dockerfile = f.read()
+            assert "FROM my-custom-executor:latest" in dockerfile
+
+
+def test_prepare_args_and_stdin_distributed_mode() -> None:
+    """Test prepare_args_and_stdin with distributed mode includes all services."""
+    config_path = pathlib.Path(__file__).parent / "langgraph.json"
+    config = validate_config(
+        Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
+    )
+    port = 8000
+
+    actual_args, actual_stdin = prepare_args_and_stdin(
+        capabilities=DEFAULT_DOCKER_CAPABILITIES,
+        config_path=config_path,
+        config=config,
+        docker_compose=None,
+        port=port,
+        watch=False,
+        engine_runtime_mode="distributed",
+    )
+
+    # API service should use langgraph-api base image
+    assert "FROM langchain/langgraph-api:" in actual_stdin
+
+    # Distributed mode sets N_JOBS_PER_WORKER=0 on the API service
+    assert 'N_JOBS_PER_WORKER: "0"' in actual_stdin
+
+    # Orchestrator service present
+    assert "langgraph-orchestrator:" in actual_stdin
+
+    # Executor service present with correct base image
+    assert "langgraph-executor:" in actual_stdin
+    assert "FROM langchain/langgraph-executor:" in actual_stdin
+    assert "executor_entrypoint.sh" in actual_stdin

libs/cli/tests/unit_tests/test_config.py

@@ -13,7 +13,9 @@ from langgraph_cli.config import (
     _get_pip_cleanup_lines,
     config_to_compose,
     config_to_docker,
+    default_base_image,
     docker_tag,
+    has_disallowed_build_command_content,
     validate_config,
     validate_config_file,
 )
@@ -120,14 +122,14 @@ def test_validate_config():
         validate_config({"python_version": "3.10"})
     assert "Minimum required version" in str(exc_info.value)
 
-    config = validate_config(
-        {
-            "python_version": "3.11-bullseye",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-        }
-    )
-    assert config["python_version"] == "3.11-bullseye"
+    with pytest.raises(click.UsageError, match="Bullseye images were deprecated"):
+        validate_config(
+            {
+                "python_version": "3.11-bullseye",
+                "dependencies": ["."],
+                "graphs": {"agent": "./agent.py:graph"},
+            }
+        )
 
     config = validate_config(
         {
@@ -181,6 +183,17 @@ def test_validate_config_image_distro():
     )
     assert config["image_distro"] == "debian"
 
+    # Bullseye should raise deprecation error
+    with pytest.raises(click.UsageError, match="Bullseye images were deprecated"):
+        validate_config(
+            {
+                "python_version": "3.11",
+                "dependencies": ["."],
+                "graphs": {"agent": "./agent.py:graph"},
+                "image_distro": "bullseye",
+            }
+        )
+
     # Invalid image_distro values should raise error
     with pytest.raises(click.UsageError) as exc_info:
         validate_config(
@@ -1681,3 +1694,239 @@ def test_config_to_compose_with_api_version():
 
     # Check that the compose file includes the correct FROM line with api_version
     assert "FROM langchain/langgraphjs-api:0.2.74-node20" in actual_compose_str
+
+
+def test_default_base_image_combined_mode():
+    """Test default_base_image returns langgraph-api for combined_queue_worker mode."""
+    config = validate_config(
+        {
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+    assert default_base_image(config) == "langchain/langgraph-api"
+    assert (
+        default_base_image(config, engine_runtime_mode="combined_queue_worker")
+        == "langchain/langgraph-api"
+    )
+
+
+def test_default_base_image_distributed_mode():
+    """Test default_base_image returns langgraph-executor for distributed mode."""
+    config = validate_config(
+        {
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+        }
+    )
+    assert (
+        default_base_image(config, engine_runtime_mode="distributed")
+        == "langchain/langgraph-executor"
+    )
+
+
+def test_default_base_image_distributed_with_explicit_base():
+    """Test default_base_image returns explicit base_image even in distributed mode."""
+    config = validate_config(
+        {
+            "dependencies": ["."],
+            "graphs": {"agent": "./agent.py:graph"},
+            "base_image": "my-custom-image:latest",
+        }
+    )
+    assert (
+        default_base_image(config, engine_runtime_mode="distributed")
+        == "my-custom-image:latest"
+    )
+
+
+def test_default_base_image_nodejs():
+    """Test default_base_image returns langgraphjs-api for Node.js config."""
+    config = validate_config(
+        {
+            "node_version": "20",
+            "graphs": {"agent": "./agent.js:graph"},
+        }
+    )
+    assert default_base_image(config) == "langchain/langgraphjs-api"
+
+
+def test_config_to_docker_executor_base_image():
+    """Test config_to_docker with executor base image for distributed mode."""
+    graphs = {"agent": "./agent.py:graph"}
+    config = validate_config({"dependencies": ["."], "graphs": graphs})
+    actual_docker_stdin, _ = config_to_docker(
+        PATH_TO_CONFIG,
+        config,
+        base_image="langchain/langgraph-executor",
+    )
+    assert "FROM langchain/langgraph-executor:3.11" in actual_docker_stdin
+    assert "LANGSERVE_GRAPHS=" in actual_docker_stdin
+
+
+def test_config_to_compose_distributed_mode():
+    """Test config_to_compose with engine_runtime_mode='distributed'."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # API service uses langchain/langgraph-api base image
+    assert "FROM langchain/langgraph-api:3.11" in actual_compose_stdin
+
+    # Orchestrator service is present
+    assert "langgraph-orchestrator:" in actual_compose_stdin
+    assert "EXECUTOR_TARGET: langgraph-executor:8188" in actual_compose_stdin
+
+    # Executor service is present with correct base image
+    assert "langgraph-executor:" in actual_compose_stdin
+    assert "FROM langchain/langgraph-executor:3.11" in actual_compose_stdin
+    assert (
+        'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
+    )
+
+    # Executor has required environment variables
+    assert "EXECUTOR_GRPC_PORT:" in actual_compose_stdin
+    assert "ENGINE_GRPC_ADDRESS:" in actual_compose_stdin
+    assert "LSD_GRPC_SERVER_ADDRESS:" in actual_compose_stdin
+    assert 'LANGGRAPH_HTTP: ""' in actual_compose_stdin
+    assert "REDIS_URI: redis://langgraph-redis:6379" in actual_compose_stdin
+
+
+def test_config_to_compose_distributed_mode_with_env_file():
+    """Test config_to_compose distributed mode propagates env_file to all services."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs, "env": ".env"}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # env_file should appear multiple times: API, orchestrator, executor
+    env_file_count = actual_compose_stdin.count("env_file: .env")
+    assert env_file_count == 3, (
+        f"Expected env_file to appear 3 times (api, orchestrator, executor), "
+        f"got {env_file_count}"
+    )
+
+
+def test_config_to_compose_distributed_mode_generates_two_dockerfiles():
+    """Test that distributed mode generates separate Dockerfiles for API and executor."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # Should contain two different FROM lines
+    from_lines = [
+        line.strip()
+        for line in actual_compose_stdin.splitlines()
+        if line.strip().startswith("FROM ")
+    ]
+    assert len(from_lines) == 2
+    assert "FROM langchain/langgraph-api:3.11" in from_lines[0]
+    assert "FROM langchain/langgraph-executor:3.11" in from_lines[1]
+
+
+def test_config_to_compose_combined_mode_no_orchestrator():
+    """Test that combined_queue_worker mode does NOT generate orchestrator/executor."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="combined_queue_worker",
+    )
+    assert "langgraph-orchestrator:" not in actual_compose_stdin
+    assert "langgraph-executor:" not in actual_compose_stdin
+
+
+def test_config_to_compose_default_mode_no_orchestrator():
+    """Test that default mode (no engine_runtime_mode) has no orchestrator/executor."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+    )
+    assert "langgraph-orchestrator:" not in actual_compose_stdin
+    assert "langgraph-executor:" not in actual_compose_stdin
+
+
+def test_config_to_compose_distributed_executor_gets_correct_paths():
+    """Test that executor Dockerfile gets correct host paths despite API Dockerfile
+    mutation. This validates the deep copy fix in config_to_compose -- without it,
+    the executor's config_to_docker call would see already-mutated container paths
+    from the API's config_to_docker call, causing FileNotFoundError."""
+    graphs = {"agent": "./agent.py:graph"}
+    actual_compose_stdin = config_to_compose(
+        PATH_TO_CONFIG,
+        validate_config({"dependencies": ["."], "graphs": graphs}),
+        "langchain/langgraph-api",
+        engine_runtime_mode="distributed",
+    )
+
+    # Both API and executor Dockerfiles should contain valid LANGSERVE_GRAPHS
+    # referencing container paths (not host paths). If the deep copy was missing,
+    # the executor Dockerfile would fail to generate or have wrong paths.
+    from_lines = [
+        line.strip()
+        for line in actual_compose_stdin.splitlines()
+        if "LANGSERVE_GRAPHS=" in line.strip()
+    ]
+    assert len(from_lines) == 2, (
+        f"Expected 2 LANGSERVE_GRAPHS lines (api + executor), got {len(from_lines)}"
+    )
+
+
+class TestHasDisallowedBuildCommandContent:
+    """Tests for has_disallowed_build_command_content."""
+
+    @pytest.mark.parametrize(
+        "char",
+        ['"', "`", "\\", "\n", "\r", "\0", "\t", "|", ";", "$", ">", "<"],
+    )
+    def test_disallowed_chars_rejected(self, char: str) -> None:
+        assert has_disallowed_build_command_content(f"npm install{char}some-package")
+
+    @pytest.mark.parametrize(
+        "cmd",
+        [
+            "pip install foo | curl attacker.com",
+            "npm install; curl evil.com",
+            "pip install $(whoami)",
+            "pip install ${IFS}evil",
+            "curl evil.com & disown",
+            "npm install & curl evil.com",
+            "pip install > /dev/null",
+            "cat < /etc/passwd",
+        ],
+    )
+    def test_injection_patterns_rejected(self, cmd: str) -> None:
+        assert has_disallowed_build_command_content(cmd)
+
+    def test_single_ampersand_rejected(self) -> None:
+        assert has_disallowed_build_command_content("npm install & curl evil.com")
+
+    def test_double_ampersand_allowed(self) -> None:
+        assert not has_disallowed_build_command_content("npm install && npm run build")
+
+    @pytest.mark.parametrize(
+        "cmd",
+        [
+            "npm install",
+            "pnpm install --frozen-lockfile",
+            "next build && next export",
+            "npm ci && npm run build",
+            "pip install -e '.[dev]'",
+        ],
+    )
+    def test_valid_commands_allowed(self, cmd: str) -> None:
+        assert not has_disallowed_build_command_content(cmd)

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -0,0 +1,226 @@
+import base64
+import json
+import os
+
+import click
+import httpx
+import pytest
+
+from langgraph_cli.cli import (
+    _call_host_backend_with_optional_tenant,
+    _docker_config_for_token,
+    _normalize_image_name,
+    _normalize_image_tag,
+    _parse_env_from_config,
+)
+from langgraph_cli.host_backend import HostBackendClient, HostBackendError
+
+
+class TestDockerConfigForToken:
+    def test_creates_config_json(self):
+        with _docker_config_for_token("us-docker.pkg.dev", "my-token") as cfg:
+            config_path = os.path.join(cfg, "config.json")
+            assert os.path.isfile(config_path)
+            with open(config_path) as f:
+                data = json.load(f)
+            expected_auth = base64.b64encode(b"oauth2accesstoken:my-token").decode()
+            assert data == {"auths": {"us-docker.pkg.dev": {"auth": expected_auth}}}
+
+    def test_tempdir_cleaned_up(self):
+        with _docker_config_for_token("registry.example.com", "tok") as cfg:
+            assert os.path.isdir(cfg)
+        assert not os.path.exists(cfg)
+
+    def test_different_registries(self):
+        with _docker_config_for_token("gcr.io", "token123") as cfg:
+            with open(os.path.join(cfg, "config.json")) as f:
+                data = json.load(f)
+            assert "gcr.io" in data["auths"]
+
+
+class TestNormalizeImageName:
+    def test_simple_name(self):
+        assert _normalize_image_name("myapp") == "myapp"
+
+    def test_uppercase_lowered(self):
+        assert _normalize_image_name("MyApp") == "myapp"
+
+    def test_special_chars_replaced(self):
+        assert _normalize_image_name("my app!@#v2") == "my-app-v2"
+
+    def test_dots_and_hyphens_kept(self):
+        assert _normalize_image_name("my-app.v2") == "my-app.v2"
+
+    def test_leading_trailing_stripped(self):
+        assert _normalize_image_name("--my-app..") == "my-app"
+
+    def test_empty_string_returns_app(self):
+        assert _normalize_image_name("") == "app"
+
+    def test_none_returns_app(self):
+        assert _normalize_image_name(None) == "app"
+
+    def test_all_invalid_chars_returns_app(self):
+        assert _normalize_image_name("!!!") == "app"
+
+
+class TestNormalizeImageTag:
+    def test_valid_tag(self):
+        assert _normalize_image_tag("v1.2.3") == "v1.2.3"
+
+    def test_empty_defaults_to_latest(self):
+        assert _normalize_image_tag("") == "latest"
+
+    def test_alphanumeric_and_special(self):
+        assert _normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
+
+    def test_invalid_chars_raises(self):
+        with pytest.raises(click.UsageError, match="Image tag may only contain"):
+            _normalize_image_tag("v1.0:bad")
+
+    def test_spaces_raises(self):
+        with pytest.raises(click.UsageError, match="Image tag may only contain"):
+            _normalize_image_tag("has space")
+
+
+class TestParseEnvFromConfig:
+    def test_env_dict(self, tmp_path):
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": {"FOO": "bar", "NUM": 42}}, config_path)
+        assert result == {"FOO": "bar", "NUM": "42"}
+
+    def test_env_string_dotenv_file(self, tmp_path):
+        env_file = tmp_path / "my.env"
+        env_file.write_text("KEY1=val1\nKEY2=val2\n")
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": "my.env"}, config_path)
+        assert result == {"KEY1": "val1", "KEY2": "val2"}
+
+    def test_env_missing_falls_back_to_dotenv(self, tmp_path, monkeypatch):
+        env_file = tmp_path / ".env"
+        env_file.write_text("DEFAULT_KEY=default_val\n")
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({}, config_path)
+        assert result == {"DEFAULT_KEY": "default_val"}
+
+    def test_env_empty_dict_falls_back_to_dotenv(self, tmp_path, monkeypatch):
+        """validate_config defaults env to {}, should still fall back to .env."""
+        env_file = tmp_path / ".env"
+        env_file.write_text("MY_KEY=my_val\n")
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": {}}, config_path)
+        assert result == {"MY_KEY": "my_val"}
+
+    def test_env_missing_no_dotenv_returns_empty(self, tmp_path, monkeypatch):
+        monkeypatch.chdir(tmp_path)
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({}, config_path)
+        assert result == {}
+
+    def test_env_dotenv_filters_none_values(self, tmp_path):
+        # Lines like "KEY=" produce empty string, lines like "KEY" produce None
+        env_file = tmp_path / "test.env"
+        env_file.write_text("GOOD=value\nEMPTY=\n")
+        config_path = tmp_path / "langgraph.json"
+        config_path.touch()
+        result = _parse_env_from_config({"env": "test.env"}, config_path)
+        assert "GOOD" in result
+        assert result["GOOD"] == "value"
+        # EMPTY= gives empty string, not None, so it should be present
+        assert result["EMPTY"] == ""
+
+
+class TestCallHostBackendWithOptionalTenant:
+    def _make_client(self, handler):
+        c = HostBackendClient("https://api.example.com", "test-key")
+        c._client = httpx.Client(
+            base_url="https://api.example.com",
+            transport=httpx.MockTransport(handler),
+            headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+            timeout=30,
+        )
+        return c
+
+    def _make_eu_client(self, handler):
+        c = HostBackendClient("https://eu.api.host.langchain.com", "test-key")
+        c._client = httpx.Client(
+            base_url="https://eu.api.host.langchain.com",
+            transport=httpx.MockTransport(handler),
+            headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+            timeout=30,
+        )
+        return c
+
+    def test_success_passes_through(self):
+        client = self._make_client(lambda req: httpx.Response(200, json={"ok": True}))
+        result = _call_host_backend_with_optional_tenant(
+            client, lambda c: c.list_deployments()
+        )
+        assert result == {"ok": True}
+
+    def test_403_not_enabled_gives_actionable_error(self):
+        detail = (
+            '{"detail":"LangSmith Deployment is not enabled for this organization"}'
+        )
+        client = self._make_client(lambda req: httpx.Response(403, text=detail))
+        with pytest.raises(HostBackendError, match="not enabled") as exc_info:
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )
+        assert exc_info.value.status_code == 403
+        assert "smith.langchain.com" in exc_info.value.message
+
+    def test_403_not_enabled_eu_url(self):
+        detail = (
+            '{"detail":"LangSmith Deployment is not enabled for this organization"}'
+        )
+        client = self._make_eu_client(lambda req: httpx.Response(403, text=detail))
+        with pytest.raises(HostBackendError, match="not enabled") as exc_info:
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )
+        assert "eu.smith.langchain.com" in exc_info.value.message
+
+    def test_workspace_retry_then_not_enabled_gives_actionable_error(self, monkeypatch):
+        requires_workspace = '{"detail":"requires workspace specification"}'
+        not_enabled = (
+            '{"detail":"LangSmith Deployment is not enabled for this organization"}'
+        )
+        seen_tenant_ids = []
+
+        def handler(req):
+            seen_tenant_ids.append(req.headers.get("X-Tenant-ID"))
+            if len(seen_tenant_ids) == 1:
+                return httpx.Response(403, text=requires_workspace)
+            if len(seen_tenant_ids) == 2:
+                return httpx.Response(403, text=not_enabled)
+            raise AssertionError("unexpected extra request")
+
+        monkeypatch.setattr(click, "prompt", lambda _text: "workspace-123")
+        client = self._make_client(handler)
+
+        with pytest.raises(HostBackendError, match="not enabled") as exc_info:
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )
+
+        assert exc_info.value.status_code == 403
+        assert "smith.langchain.com" in exc_info.value.message
+        assert seen_tenant_ids == [None, "workspace-123"]
+        assert client._client.headers["X-Tenant-ID"] == "workspace-123"
+
+    def test_other_403_re_raises_original(self):
+        client = self._make_client(
+            lambda req: httpx.Response(403, text='{"detail":"some other error"}')
+        )
+        with pytest.raises(HostBackendError, match="some other error"):
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )

libs/cli/tests/unit_tests/test_docker.py

@@ -368,6 +368,61 @@ services:
     assert clean_empty_lines(actual_compose_str) == expected_compose_str
 
 
+def test_compose_distributed_mode_with_custom_db():
+    """Test compose with engine_runtime_mode='distributed' adds N_JOBS_PER_WORKER=0."""
+    port = 8123
+    custom_postgres_uri = "custom_postgres_uri"
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        postgres_uri=custom_postgres_uri,
+        engine_runtime_mode="distributed",
+    )
+    expected_compose_str = f"""services:
+    langgraph-redis:
+        image: redis:6
+        healthcheck:
+            test: redis-cli ping
+            interval: 5s
+            timeout: 1s
+            retries: 5
+    langgraph-api:
+        ports:
+            - "{port}:8000"
+        depends_on:
+            langgraph-redis:
+                condition: service_healthy
+        environment:
+            REDIS_URI: redis://langgraph-redis:6379
+            POSTGRES_URI: {custom_postgres_uri}
+            N_JOBS_PER_WORKER: "0\""""
+    assert clean_empty_lines(actual_compose_str) == expected_compose_str
+
+
+def test_compose_distributed_mode_with_default_db():
+    """Test compose distributed mode with default DB includes N_JOBS_PER_WORKER=0."""
+    port = 8123
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        engine_runtime_mode="distributed",
+    )
+    assert 'N_JOBS_PER_WORKER: "0"' in actual_compose_str
+    assert "langgraph-postgres:" in actual_compose_str
+    assert "langgraph-redis:" in actual_compose_str
+
+
+def test_compose_combined_mode_has_no_n_jobs():
+    """Test compose with default combined_queue_worker mode does NOT set N_JOBS_PER_WORKER."""
+    port = 8123
+    actual_compose_str = compose(
+        DEFAULT_DOCKER_CAPABILITIES,
+        port=port,
+        engine_runtime_mode="combined_queue_worker",
+    )
+    assert "N_JOBS_PER_WORKER" not in actual_compose_str
+
+
 @pytest.mark.parametrize(
     "input_str,expected",
     [

libs/cli/tests/unit_tests/test_host_backend.py

@@ -0,0 +1,222 @@
+import httpx
+import pytest
+
+from langgraph_cli.host_backend import HostBackendClient, HostBackendError
+
+
+@pytest.fixture
+def mock_transport():
+    return httpx.MockTransport(lambda req: httpx.Response(200, json={"ok": True}))
+
+
+@pytest.fixture
+def client(mock_transport):
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=mock_transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    return c
+
+
+def test_constructor_strips_trailing_slash():
+    c = HostBackendClient("https://api.example.com/", "key")
+    assert str(c._client.base_url) == "https://api.example.com"
+
+
+def test_constructor_empty_url_raises():
+    with pytest.raises(Exception, match="Host backend URL is required"):
+        HostBackendClient("", "key")
+
+
+def test_request_sends_headers():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert req.headers["x-api-key"] == "test-key"
+        assert req.headers["accept"] == "application/json"
+        return httpx.Response(200, json={"ok": True})
+
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c._request("GET", "/test")
+    assert result == {"ok": True}
+
+
+def test_request_sends_json_payload():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert req.headers["content-type"] == "application/json"
+        assert req.content == b'{"key":"value"}'
+        return httpx.Response(200, json={"created": True})
+
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c._request("POST", "/test", {"key": "value"})
+    assert result == {"created": True}
+
+
+def test_request_empty_body_returns_none():
+    transport = httpx.MockTransport(lambda req: httpx.Response(200, content=b""))
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    assert c._request("DELETE", "/test") is None
+
+
+def test_request_http_error_raises():
+    transport = httpx.MockTransport(lambda req: httpx.Response(404, text="not found"))
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    with pytest.raises(HostBackendError, match="404"):
+        c._request("GET", "/missing")
+
+
+def test_request_invalid_json_raises():
+    transport = httpx.MockTransport(
+        lambda req: httpx.Response(200, content=b"not json")
+    )
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=transport,
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    with pytest.raises(HostBackendError, match="Failed to decode"):
+        c._request("GET", "/bad-json")
+
+
+def test_request_transport_error_raises():
+    def handler(req: httpx.Request) -> httpx.Response:
+        raise httpx.ConnectError("connection refused")
+
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    with pytest.raises(HostBackendError, match="connection refused"):
+        c._request("GET", "/test")
+
+
+def test_create_deployment(client):
+    result = client.create_deployment({"name": "my-deploy"})
+    assert result == {"ok": True}
+
+
+def test_get_deployment(client):
+    result = client.get_deployment("dep-123")
+    assert result == {"ok": True}
+
+
+def test_list_deployments(client):
+    result = client.list_deployments("my-app")
+    assert result == {"ok": True}
+
+
+def test_list_deployments_sends_query_params():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert req.url.path == "/v2/deployments"
+        assert req.url.params["name_contains"] == "my app"
+        return httpx.Response(200, json={"ok": True})
+
+    c = HostBackendClient("https://api.example.com", "test-key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "test-key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.list_deployments("my app")
+    assert result == {"ok": True}
+
+
+def test_delete_deployment(client):
+    result = client.delete_deployment("dep-123")
+    assert result == {"ok": True}
+
+
+def test_request_push_token(client):
+    result = client.request_push_token("dep-123")
+    assert result == {"ok": True}
+
+
+def test_update_deployment(client):
+    result = client.update_deployment(
+        "dep-123", "image:latest", secrets=[{"name": "KEY", "value": "val"}]
+    )
+    assert result == {"ok": True}
+
+
+def test_update_deployment_no_secrets(client):
+    result = client.update_deployment("dep-123", "image:latest")
+    assert result == {"ok": True}
+
+
+def test_list_revisions(client):
+    result = client.list_revisions("dep-123", limit=5)
+    assert result == {"ok": True}
+
+
+def test_get_revision(client):
+    result = client.get_revision("dep-123", "rev-456")
+    assert result == {"ok": True}
+
+
+def test_get_build_logs(client):
+    result = client.get_build_logs("proj-1", "rev-1", {"limit": 10})
+    assert result == {"ok": True}
+
+
+def test_get_deploy_logs_all_revisions():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert "/v1/projects/proj-1/deploy_logs" in str(req.url)
+        assert "/revisions/" not in str(req.url)
+        return httpx.Response(200, json={"logs": [{"message": "running"}]})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.get_deploy_logs("proj-1", {"limit": 10})
+    assert result == {"logs": [{"message": "running"}]}
+
+
+def test_get_deploy_logs_specific_revision():
+    def handler(req: httpx.Request) -> httpx.Response:
+        assert "/v1/projects/proj-1/revisions/rev-2/deploy_logs" in str(req.url)
+        return httpx.Response(200, json={"logs": []})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    result = c.get_deploy_logs("proj-1", {"limit": 10}, revision_id="rev-2")
+    assert result == {"logs": []}

libs/cli/tests/unit_tests/test_logs_helpers.py

@@ -0,0 +1,58 @@
+from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
+
+
+class TestFormatTimestamp:
+    def test_epoch_ms(self):
+        assert format_timestamp(1773119644012) == "2026-03-10 05:14:04"
+
+    def test_string_passthrough(self):
+        assert format_timestamp("2026-03-08T00:00:00Z") == "2026-03-08T00:00:00Z"
+
+    def test_empty(self):
+        assert format_timestamp("") == ""
+
+    def test_none(self):
+        assert format_timestamp(None) == ""
+
+
+class TestFormatLogEntry:
+    def test_full_entry_epoch(self):
+        entry = {"timestamp": 1773119644012, "level": "ERROR", "message": "boom"}
+        result = format_log_entry(entry)
+        assert result == "[2026-03-10 05:14:04] [ERROR] boom"
+
+    def test_full_entry_string(self):
+        entry = {
+            "timestamp": "2026-03-08T12:00:00Z",
+            "level": "ERROR",
+            "message": "boom",
+        }
+        assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] [ERROR] boom"
+
+    def test_no_level(self):
+        entry = {"timestamp": "2026-03-08T12:00:00Z", "message": "hello"}
+        assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] hello"
+
+    def test_no_timestamp(self):
+        entry = {"message": "bare message"}
+        assert format_log_entry(entry) == "bare message"
+
+    def test_empty_entry(self):
+        assert format_log_entry({}) == ""
+
+
+class TestLevelFg:
+    def test_error(self):
+        assert level_fg("ERROR") == "red"
+
+    def test_error_lowercase(self):
+        assert level_fg("error") == "red"
+
+    def test_warning(self):
+        assert level_fg("WARNING") == "yellow"
+
+    def test_info_returns_none(self):
+        assert level_fg("INFO") is None
+
+    def test_empty_returns_none(self):
+        assert level_fg("") is None

libs/cli/tests/unit_tests/test_util.py

@@ -1,6 +1,11 @@
 from unittest.mock import patch
 
-from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
+from langgraph_cli.util import (
+    _extract_deployment_url,
+    clean_empty_lines,
+    format_deployments_table,
+    warn_non_wolfi_distro,
+)
 
 
 def test_clean_empty_lines():
@@ -186,3 +191,36 @@ def test_warn_non_wolfi_distro_does_not_modify_config():
     warn_non_wolfi_distro(config_copy)
 
     assert config_copy == original_config  # Config should remain unchanged
+
+
+def test_extract_deployment_url_uses_custom_url():
+    deployment = {"source_config": {"custom_url": "https://example.com/custom"}}
+    assert _extract_deployment_url(deployment) == "https://example.com/custom"
+
+
+def test_extract_deployment_url_defaults_to_dash():
+    assert _extract_deployment_url({"id": "dep-123"}) == "-"
+
+
+def test_format_deployments_table():
+    output = format_deployments_table(
+        [
+            {
+                "id": "dep-123",
+                "name": "alpha",
+                "source_config": {"custom_url": "https://alpha.example.com"},
+            },
+            {
+                "id": "dep-456",
+                "name": "beta",
+                "url": "https://beta.example.com",
+            },
+        ]
+    )
+    assert "Deployment ID" in output
+    assert "Deployment Name" in output
+    assert "Deployment URL" in output
+    assert "dep-123" in output
+    assert "alpha" in output
+    assert "https://alpha.example.com" in output
+    assert "dep-456" in output

libs/langgraph/Makefile

@@ -1,4 +1,4 @@
-.PHONY: all format lint test test_watch integration_tests spell_check spell_fix benchmark profile start-dev-server integration_tests
+.PHONY: all format lint type test test_watch integration_tests spell_check spell_fix benchmark profile start-dev-server integration_tests
 
 # Default target executed when no arguments are given to make.
 all: help
@@ -87,15 +87,15 @@ integration_tests:
 
 WORKERS ?= auto
 XDIST_ARGS := $(if $(WORKERS),-n $(WORKERS) --dist worksteal,)
-MAXFAIL ?=
-MAXFAIL_ARGS := $(if $(MAXFAIL),--maxfail $(MAXFAIL),)
+MAXFAIL ?= 1
+MAXFAIL_ARGS = $(if $(MAXFAIL),--maxfail $(MAXFAIL),)
 # Add an '-x' if xdist is enabled
 XDIST_ARGS := $(if $(WORKERS),-x $(XDIST_ARGS),)
 
 test_watch:
 	make start-services &&\
 	make start-dev-server &&\
-	uv run ptw . -- --ff -vv $(XDIST_ARGS) $(MAXFAIL_ARGS) $(TEST); \
+	uv run ptw -- --ff -vv $(XDIST_ARGS) $(MAXFAIL_ARGS) $(TEST); \
 	EXIT_CODE=$$?; \
 	make stop-services; \
 	make stop-dev-server; \
@@ -125,9 +125,12 @@ lint lint_diff lint_package lint_tests:
 	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
 	[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
 
+type:
+	mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --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)
 
 spell_check:
 	uv run codespell --toml pyproject.toml
@@ -147,6 +150,7 @@ help:
 	@echo '-- LINTING --'
 	@echo 'format                       - run code formatters'
 	@echo 'lint                         - run linters'
+	@echo 'type                         - run type checking'
 	@echo 'spell_check               	- run codespell on the project'
 	@echo 'spell_fix               		- run codespell on the project and fix the errors'
 	@echo '-- TESTS --'

libs/langgraph/bench/__main__.py

@@ -10,6 +10,7 @@ from bench.fanout_to_subgraph import fanout_to_subgraph, fanout_to_subgraph_sync
 from bench.pydantic_state import pydantic_state
 from bench.react_agent import react_agent
 from bench.sequential import create_sequential
+from bench.serde_allowlist import collect_allowlist_large, collect_allowlist_small
 from bench.wide_dict import wide_dict
 from bench.wide_state import wide_state
 from langgraph.graph import StateGraph
@@ -513,3 +514,7 @@ compilation_benchmarks = (
 
 for name, graph in compilation_benchmarks:
     r.bench_func(name + "_compilation", compile_graph, graph)
+
+# Serde allowlist collection
+r.bench_func("serde_allowlist_small", collect_allowlist_small)
+r.bench_func("serde_allowlist_large", collect_allowlist_large)

libs/langgraph/bench/serde_allowlist.py

@@ -0,0 +1,81 @@
+from __future__ import annotations
+
+from collections import deque
+from dataclasses import dataclass
+from enum import Enum
+from typing import Annotated
+
+from pydantic import BaseModel
+from typing_extensions import NotRequired, TypedDict
+
+from langgraph._internal._serde import collect_allowlist_from_schemas
+
+
+class Color(Enum):
+    RED = "red"
+    BLUE = "blue"
+
+
+@dataclass
+class InnerDataclass:
+    value: int
+
+
+class InnerModel(BaseModel):
+    name: str
+
+
+class InnerTyped(TypedDict):
+    payload: InnerDataclass
+    optional: NotRequired[InnerModel]
+
+
+@dataclass
+class Node:
+    value: int
+    child: Node | None = None
+
+
+@dataclass
+class NestedDataclass:
+    inner: InnerDataclass
+    items: list[InnerModel]
+    mapping: dict[str, InnerDataclass]
+    optional: InnerModel | None
+    union: InnerDataclass | InnerModel
+    queue: deque[InnerDataclass]
+    frozen: frozenset[InnerModel]
+
+
+AnnotatedList = Annotated[list[InnerDataclass], "meta"]
+
+
+class DummyChannel:
+    @property
+    def ValueType(self) -> type[InnerDataclass]:
+        return InnerDataclass
+
+    @property
+    def UpdateType(self) -> type[InnerModel]:
+        return InnerModel
+
+
+SCHEMAS_SMALL = [InnerDataclass, InnerModel, Color]
+SCHEMAS_LARGE = [
+    InnerDataclass,
+    InnerModel,
+    Color,
+    InnerTyped,
+    Node,
+    NestedDataclass,
+    AnnotatedList,
+]
+CHANNELS = {"a": DummyChannel(), "b": DummyChannel()}
+
+
+def collect_allowlist_small() -> None:
+    collect_allowlist_from_schemas(schemas=SCHEMAS_SMALL, channels=CHANNELS)
+
+
+def collect_allowlist_large() -> None:
+    collect_allowlist_from_schemas(schemas=SCHEMAS_LARGE, channels=CHANNELS)

libs/langgraph/langgraph/_internal/_constants.py

@@ -41,6 +41,9 @@ CONFIG_KEY_CACHE = sys.intern("__pregel_cache")
 # holds a `BaseCache` made available to subgraphs
 CONFIG_KEY_RESUMING = sys.intern("__pregel_resuming")
 # holds a boolean indicating if subgraphs should resume from a previous checkpoint
+CONFIG_KEY_REPLAY_STATE = sys.intern("__pregel_replay_state")
+# holds a ReplayState tracking the parent checkpoint_id upper bound and which
+# subgraph namespaces have already loaded their pre-replay checkpoint
 CONFIG_KEY_TASK_ID = sys.intern("__pregel_task_id")
 # holds the task ID for the current task
 CONFIG_KEY_THREAD_ID = sys.intern("thread_id")
@@ -98,6 +101,7 @@ RESERVED = {
     CONFIG_KEY_STREAM,
     CONFIG_KEY_CHECKPOINT_MAP,
     CONFIG_KEY_RESUMING,
+    CONFIG_KEY_REPLAY_STATE,
     CONFIG_KEY_TASK_ID,
     CONFIG_KEY_CHECKPOINT_MAP,
     CONFIG_KEY_CHECKPOINT_ID,

libs/langgraph/langgraph/_internal/_queue.py

@@ -25,7 +25,7 @@ class AsyncQueue(asyncio.Queue):
             self._getters.append(getter)
             try:
                 await getter
-            except:
+            except BaseException:
                 getter.cancel()  # Just in case getter is not done yet.
                 try:
                     # Clean self._getters from canceled getters.

libs/langgraph/langgraph/_internal/_replay.py

@@ -0,0 +1,90 @@
+"""Replay state for subgraph checkpoint loading during time-travel."""
+
+from __future__ import annotations
+
+from typing import TYPE_CHECKING
+
+from langgraph._internal._constants import NS_END
+
+if TYPE_CHECKING:
+    from langchain_core.runnables import RunnableConfig
+    from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointTuple
+
+
+class ReplayState:
+    """Tracks which subgraphs have already loaded their pre-replay checkpoint.
+
+    During a parent replay, each subgraph's first invocation should restore the
+    checkpoint from before the replay point. Subsequent invocations of the same
+    subgraph (e.g. in a loop) should use normal checkpoint loading so they pick
+    up freshly created checkpoints.
+
+    The single `ReplayState` instance is shared by reference across all derived
+    configs within one parent execution.
+    """
+
+    __slots__ = ("checkpoint_id", "_visited_ns")
+
+    def __init__(self, checkpoint_id: str) -> None:
+        self.checkpoint_id = checkpoint_id
+        # DO NOT CHANGE THIS VARIABLE – it may need to be rehydrated
+        # in other runtimes
+        self._visited_ns: set[str] = set()
+
+    def _is_first_visit(self, checkpoint_ns: str) -> bool:
+        """Return True the first time a subgraph namespace is seen.
+
+        The task-id suffix is stripped so that the same logical subgraph
+        (e.g. ``"sub_node"``) is recognized across loop iterations even
+        though each iteration has a different task id.
+        """
+        # "sub_node:task_id" -> "sub_node"
+        stable_ns = (
+            checkpoint_ns.rsplit(NS_END, 1)[0]
+            if NS_END in checkpoint_ns
+            else checkpoint_ns
+        )
+        if stable_ns in self._visited_ns:
+            return False
+        self._visited_ns.add(stable_ns)
+        return True
+
+    def get_checkpoint(
+        self,
+        checkpoint_ns: str,
+        checkpointer: BaseCheckpointSaver,
+        checkpoint_config: RunnableConfig,
+    ) -> CheckpointTuple | None:
+        """Load the right checkpoint for a subgraph during replay.
+
+        On the first call for a given subgraph namespace, returns the latest
+        checkpoint created *before* the replay point. On subsequent calls
+        (e.g. the same subgraph in a later loop iteration), falls back to
+        normal latest-checkpoint loading.
+        """
+        if self._is_first_visit(checkpoint_ns):
+            for saved in checkpointer.list(
+                checkpoint_config,
+                before={"configurable": {"checkpoint_id": self.checkpoint_id}},
+                limit=1,
+            ):
+                return saved
+            return None
+        return checkpointer.get_tuple(checkpoint_config)
+
+    async def aget_checkpoint(
+        self,
+        checkpoint_ns: str,
+        checkpointer: BaseCheckpointSaver,
+        checkpoint_config: RunnableConfig,
+    ) -> CheckpointTuple | None:
+        """Async version of `get_checkpoint`."""
+        if self._is_first_visit(checkpoint_ns):
+            async for saved in checkpointer.alist(
+                checkpoint_config,
+                before={"configurable": {"checkpoint_id": self.checkpoint_id}},
+                limit=1,
+            ):
+                return saved
+            return None
+        return await checkpointer.aget_tuple(checkpoint_config)

libs/langgraph/langgraph/_internal/_serde.py

@@ -0,0 +1,253 @@
+from __future__ import annotations
+
+import dataclasses
+import logging
+import sys
+import types
+from collections import deque
+from enum import Enum
+from typing import (
+    Annotated,
+    Any,
+    Literal,
+    Union,
+    get_args,
+    get_origin,
+    get_type_hints,
+)
+
+from langchain_core import messages as lc_messages
+from langgraph.checkpoint.base import BaseCheckpointSaver
+from pydantic import BaseModel
+from typing_extensions import NotRequired, Required, is_typeddict
+
+try:
+    from langgraph.checkpoint.serde._msgpack import (  # noqa: F401
+        STRICT_MSGPACK_ENABLED,
+    )
+except ImportError:
+    STRICT_MSGPACK_ENABLED = False
+
+_warned_allowlist_unsupported = False
+
+logger = logging.getLogger(__name__)
+
+
+def _supports_checkpointer_allowlist() -> bool:
+    return hasattr(BaseCheckpointSaver, "with_allowlist")
+
+
+_SUPPORTS_ALLOWLIST = _supports_checkpointer_allowlist()
+
+
+def apply_checkpointer_allowlist(
+    checkpointer: Any, allowlist: set[tuple[str, ...]] | None
+) -> Any:
+    if not checkpointer or allowlist is None or checkpointer in (True, False):
+        return checkpointer
+    if not _SUPPORTS_ALLOWLIST:
+        global _warned_allowlist_unsupported
+        if not _warned_allowlist_unsupported:
+            logger.warning(
+                "Checkpointer does not support with_allowlist; strict msgpack "
+                "allowlist will be skipped."
+            )
+            _warned_allowlist_unsupported = True
+        return checkpointer
+    return checkpointer.with_allowlist(allowlist)
+
+
+def curated_core_allowlist() -> set[tuple[str, ...]]:
+    allowlist: set[tuple[str, ...]] = set()
+    for name in (
+        "BaseMessage",
+        "BaseMessageChunk",
+        "HumanMessage",
+        "HumanMessageChunk",
+        "AIMessage",
+        "AIMessageChunk",
+        "SystemMessage",
+        "SystemMessageChunk",
+        "ChatMessage",
+        "ChatMessageChunk",
+        "ToolMessage",
+        "ToolMessageChunk",
+        "FunctionMessage",
+        "FunctionMessageChunk",
+        "RemoveMessage",
+    ):
+        cls = getattr(lc_messages, name, None)
+        if cls is None:
+            continue
+        allowlist.add((cls.__module__, cls.__name__))
+
+    return allowlist
+
+
+def build_serde_allowlist(
+    *,
+    schemas: list[type[Any]] | None = None,
+    channels: dict[str, Any] | None = None,
+) -> set[tuple[str, ...]]:
+    allowlist = curated_core_allowlist()
+    if schemas:
+        schemas = [schema for schema in schemas if schema is not None]
+    return allowlist | collect_allowlist_from_schemas(
+        schemas=schemas,
+        channels=channels,
+    )
+
+
+def collect_allowlist_from_schemas(
+    *,
+    schemas: list[type[Any]] | None = None,
+    channels: dict[str, Any] | None = None,
+) -> set[tuple[str, ...]]:
+    allowlist: set[tuple[str, ...]] = set()
+    seen: set[Any] = set()
+    seen_ids: set[int] = set()
+
+    if schemas:
+        for schema in schemas:
+            _collect_from_type(schema, allowlist, seen, seen_ids)
+
+    if channels:
+        for channel in channels.values():
+            value_type = getattr(channel, "ValueType", None)
+            if value_type is not None:
+                _collect_from_type(value_type, allowlist, seen, seen_ids)
+            update_type = getattr(channel, "UpdateType", None)
+            if update_type is not None:
+                _collect_from_type(update_type, allowlist, seen, seen_ids)
+
+    return allowlist
+
+
+def _collect_from_type(
+    typ: Any,
+    allowlist: set[tuple[str, ...]],
+    seen: set[Any],
+    seen_ids: set[int],
+) -> None:
+    if _already_seen(typ, seen, seen_ids):
+        return
+
+    if typ is Any or typ is None:
+        return
+
+    if typ is Literal:
+        return
+
+    if isinstance(typ, types.UnionType):
+        for arg in typ.__args__:
+            _collect_from_type(arg, allowlist, seen, seen_ids)
+        return
+
+    origin = get_origin(typ)
+    if origin is Union:
+        for arg in get_args(typ):
+            _collect_from_type(arg, allowlist, seen, seen_ids)
+        return
+    if origin is Annotated or origin in (Required, NotRequired):
+        args = get_args(typ)
+        if args:
+            _collect_from_type(args[0], allowlist, seen, seen_ids)
+        return
+
+    if origin is Literal:
+        return
+
+    if origin in (list, set, tuple, dict, deque, frozenset):
+        for arg in get_args(typ):
+            _collect_from_type(arg, allowlist, seen, seen_ids)
+        return
+
+    if hasattr(typ, "__supertype__"):
+        _collect_from_type(typ.__supertype__, allowlist, seen, seen_ids)
+        return
+
+    if is_typeddict(typ):
+        for field_type in _safe_get_type_hints(typ).values():
+            _collect_from_type(field_type, allowlist, seen, seen_ids)
+        return
+
+    if _is_pydantic_model(typ):
+        allowlist.add((typ.__module__, typ.__name__))
+        field_types = _safe_get_type_hints(typ)
+        if field_types:
+            for field_type in field_types.values():
+                _collect_from_type(field_type, allowlist, seen, seen_ids)
+        else:
+            for field_type in _pydantic_field_types(typ):
+                _collect_from_type(field_type, allowlist, seen, seen_ids)
+        return
+
+    if dataclasses.is_dataclass(typ):
+        if typ_name := getattr(typ, "__name__", None):
+            allowlist.add((typ.__module__, typ_name))
+        field_types = _safe_get_type_hints(typ)
+        if field_types:
+            for field_type in field_types.values():
+                _collect_from_type(field_type, allowlist, seen, seen_ids)
+        else:
+            for field in dataclasses.fields(typ):
+                _collect_from_type(field.type, allowlist, seen, seen_ids)
+        return
+
+    if isinstance(typ, type) and issubclass(typ, Enum):
+        allowlist.add((typ.__module__, typ.__name__))
+        return
+
+
+def _already_seen(typ: Any, seen: set[Any], seen_ids: set[int]) -> bool:
+    try:
+        if typ in seen:
+            return True
+        seen.add(typ)
+        return False
+    except TypeError:
+        typ_id = id(typ)
+        if typ_id in seen_ids:
+            return True
+        seen_ids.add(typ_id)
+        return False
+
+
+def _safe_get_type_hints(typ: Any) -> dict[str, Any]:
+    try:
+        module = sys.modules.get(getattr(typ, "__module__", ""))
+        globalns = module.__dict__ if module else None
+        localns = dict(vars(typ)) if hasattr(typ, "__dict__") else None
+        return get_type_hints(
+            typ, globalns=globalns, localns=localns, include_extras=True
+        )
+    except Exception:
+        return {}
+
+
+def _is_pydantic_model(typ: Any) -> bool:
+    if not isinstance(typ, type):
+        return False
+    if issubclass(typ, BaseModel):
+        return True
+    try:
+        from pydantic.v1 import BaseModel as BaseModelV1
+    except Exception:
+        return False
+    return issubclass(typ, BaseModelV1)
+
+
+def _pydantic_field_types(typ: type[Any]) -> list[Any]:
+    if hasattr(typ, "model_fields"):
+        return [
+            field.annotation
+            for field in typ.model_fields.values()
+            if getattr(field, "annotation", None) is not None
+        ]
+    if hasattr(typ, "__fields__"):
+        return [
+            field.outer_type_
+            for field in typ.__fields__.values()
+            if getattr(field, "outer_type_", None) is not None
+        ]
+    return []

libs/langgraph/langgraph/func/__init__.py

@@ -20,6 +20,7 @@ from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.store.base import BaseStore
 from typing_extensions import Unpack
 
+from langgraph._internal import _serde
 from langgraph._internal._constants import CACHE_NS_WRITES, PREVIOUS
 from langgraph._internal._typing import MISSING, DeprecatedKwargs
 from langgraph.channels.ephemeral_value import EphemeralValue
@@ -528,7 +529,7 @@ class entrypoint(Generic[ContextT]):
                 else:
                     output_type = save_type = sig.return_annotation
 
-        return Pregel(
+        graph: Pregel[Any, ContextT, Any, Any] = Pregel(
             nodes={
                 func.__name__: PregelNode(
                     bound=bound,
@@ -559,5 +560,16 @@ class entrypoint(Generic[ContextT]):
             cache=self.cache,
             cache_policy=self.cache_policy,
             retry_policy=self.retry_policy or (),
-            context_schema=self.context_schema,  # type: ignore[arg-type]
+            context_schema=self.context_schema,
         )
+        if _serde.STRICT_MSGPACK_ENABLED:
+            serde_allowlist = _serde.build_serde_allowlist(
+                schemas=[input_type, output_type, save_type]
+                + ([self.context_schema] if self.context_schema is not None else []),
+                channels=graph.channels,
+            )
+            graph._serde_allowlist = serde_allowlist
+            graph.checkpointer = _serde.apply_checkpointer_allowlist(
+                graph.checkpointer, serde_allowlist
+            )
+        return graph

libs/langgraph/langgraph/graph/state.py

@@ -6,6 +6,7 @@ import typing
 import warnings
 from collections import defaultdict
 from collections.abc import Awaitable, Callable, Hashable, Sequence
+from dataclasses import is_dataclass
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
 from types import FunctionType
@@ -14,6 +15,7 @@ from typing import (
     Any,
     Generic,
     Literal,
+    TypeVar,
     Union,
     cast,
     get_args,
@@ -29,6 +31,7 @@ from langgraph.store.base import BaseStore
 from pydantic import BaseModel, TypeAdapter
 from typing_extensions import NotRequired, Required, Self, Unpack, is_typeddict
 
+from langgraph._internal import _serde
 from langgraph._internal._constants import (
     INTERRUPT,
     NS_END,
@@ -1079,6 +1082,28 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             CompiledStateGraph: The compiled `StateGraph`.
         """
         checkpointer = ensure_valid_checkpointer(checkpointer)
+        serde_allowlist: set[tuple[str, ...]] | None = None
+        if _serde.STRICT_MSGPACK_ENABLED:
+            schema_types: list[type[Any]] = [
+                self.state_schema,
+                self.input_schema,
+                self.output_schema,
+            ]
+            if self.context_schema is not None:
+                schema_types.append(self.context_schema)
+            for node in self.nodes.values():
+                schema_types.append(node.input_schema)
+            for branches in self.branches.values():
+                for branch in branches.values():
+                    if branch.input_schema is not None:
+                        schema_types.append(branch.input_schema)
+            serde_allowlist = _serde.build_serde_allowlist(
+                schemas=schema_types,
+                channels=self.channels,
+            )
+            checkpointer = _serde.apply_checkpointer_allowlist(
+                checkpointer, serde_allowlist
+            )
 
         # assign default values
         interrupt_before = interrupt_before or []
@@ -1135,11 +1160,26 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             cache=cache,
             name=name or "LangGraph",
         )
+        compiled._serde_allowlist = serde_allowlist
 
         compiled.attach_node(START, None)
         for key, node in self.nodes.items():
             compiled.attach_node(key, node)
 
+        # Record output/state mappers for v2 stream coercion (pydantic/dataclass only)
+        compiled._output_mapper = _pick_mapper(
+            list(output_channels)
+            if isinstance(output_channels, list)
+            else [output_channels],
+            self.output_schema,
+        )
+        compiled._state_mapper = _pick_mapper(
+            list(stream_channels)
+            if isinstance(stream_channels, list)
+            else [stream_channels],
+            self.state_schema,
+        )
+
         for start, end in self.edges:
             compiled.attach_edge(start, end)
 
@@ -1159,6 +1199,8 @@ class CompiledStateGraph(
 ):
     builder: StateGraph[StateT, ContextT, InputT, OutputT]
     schema_to_mapper: dict[type[Any], Callable[[Any], Any] | None]
+    _output_mapper: Callable[[Any], Any] | None
+    _state_mapper: Callable[[Any], Any] | None
 
     def __init__(
         self,
@@ -1480,12 +1522,15 @@ def _pick_mapper(
 ) -> Callable[[Any], Any] | None:
     if state_keys == ["__root__"]:
         return None
-    if isclass(schema) and issubclass(schema, dict):
-        return None
-    return partial(_coerce_state, schema)
+    if isclass(schema) and (issubclass(schema, BaseModel) or is_dataclass(schema)):
+        return partial(_coerce_state, schema)
+    return None
 
 
-def _coerce_state(schema: type[Any], input: dict[str, Any]) -> dict[str, Any]:
+_S = TypeVar("_S")
+
+
+def _coerce_state(schema: type[_S], input: dict[str, Any]) -> _S:
     return schema(**input)
 
 

libs/langgraph/langgraph/pregel/_loop.py

@@ -42,6 +42,7 @@ from langgraph._internal._constants import (
     CONFIG_KEY_CHECKPOINT_ID,
     CONFIG_KEY_CHECKPOINT_MAP,
     CONFIG_KEY_CHECKPOINT_NS,
+    CONFIG_KEY_REPLAY_STATE,
     CONFIG_KEY_RESUME_MAP,
     CONFIG_KEY_RESUMING,
     CONFIG_KEY_SCRATCHPAD,
@@ -58,6 +59,7 @@ from langgraph._internal._constants import (
     RESUME,
     TASKS,
 )
+from langgraph._internal._replay import ReplayState
 from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import EMPTY_SEQ, MISSING
 from langgraph.channels.base import BaseChannel
@@ -152,7 +154,7 @@ class PregelLoop:
     input_keys: str | Sequence[str]
     output_keys: str | Sequence[str]
     stream_keys: str | Sequence[str]
-    skip_done_tasks: bool
+    is_replaying: bool
     is_nested: bool
     manager: None | AsyncParentRunManager | ParentRunManager
     interrupt_after: All | Sequence[str]
@@ -244,7 +246,7 @@ class PregelLoop:
         self.interrupt_before = interrupt_before
         self.manager = manager
         self.is_nested = CONFIG_KEY_TASK_ID in self.config.get(CONF, {})
-        self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
+        self.is_replaying = CONFIG_KEY_CHECKPOINT_ID in config[CONF]
         self._migrate_checkpoint = migrate_checkpoint
         self.trigger_to_nodes = trigger_to_nodes
         self.retry_policy = retry_policy
@@ -451,7 +453,7 @@ class PregelLoop:
             # save the new task
             self.tasks[pushed.id] = pushed
             # match any pending writes to the new task
-            if self.skip_done_tasks:
+            if not self.is_replaying:
                 self._match_writes({pushed.id: pushed})
             # return the new task, to be started if not run before
             return pushed
@@ -515,7 +517,7 @@ class PregelLoop:
             return False
 
         # if there are pending writes from a previous loop, apply them
-        if self.skip_done_tasks and self.checkpoint_pending_writes:
+        if not self.is_replaying and self.checkpoint_pending_writes:
             self._match_writes(self.tasks)
 
         # before execution, check if we should interrupt
@@ -557,8 +559,8 @@ class PregelLoop:
             )
         # clear pending writes
         self.checkpoint_pending_writes.clear()
-        # "not skip_done_tasks" only applies to first tick after resuming
-        self.skip_done_tasks = True
+        # only replay (re-execute) done tasks on the first tick
+        self.is_replaying = False
         # save checkpoint
         self._put_checkpoint({"source": "loop"})
         # after execution, check if we should interrupt
@@ -618,15 +620,21 @@ class PregelLoop:
     def _first(
         self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
     ) -> set[str] | None:
-        # resuming from previous checkpoint requires
-        # - finding a previous checkpoint
-        # - receiving None input (outer graph) or RESUMING flag (subgraph)
+        # Resuming from a previous checkpoint requires two things:
+        # 1. A prior checkpoint exists (channel_versions is non-empty)
+        # 2. The input signals continuation (not a fresh run with new input)
+        # For subgraphs, the parent explicitly sets CONFIG_KEY_RESUMING.
+        # For the outer graph, we infer from the input:
+        #   - None input: resume after interrupt (invoke(None, config))
+        #   - Command input: any Command operates on existing state
+        #   - Same run_id: re-entry into an ongoing run (e.g. stream reconnect)
         configurable = self.config.get(CONF, {})
+        input_is_command = isinstance(self.input, Command)
         is_resuming = bool(self.checkpoint["channel_versions"]) and bool(
             configurable.get(
                 CONFIG_KEY_RESUMING,
                 self.input is None
-                or isinstance(self.input, Command)
+                or input_is_command
                 or (
                     not self.is_nested
                     and self.config.get("metadata", {}).get("run_id")
@@ -635,9 +643,36 @@ class PregelLoop:
             )
         )
 
+        # When replaying from a specific checkpoint, drop cached RESUME
+        # writes so that interrupt() calls re-fire instead of returning
+        # stale values. But if we're actively resuming, keep them —
+        # multi-interrupt scenarios need previously resolved values preserved.
+        if self.is_replaying and (
+            # Time-travel to a subgraph checkpoint: the parent sets
+            # RESUMING=True (it can't distinguish time-travel from resume),
+            # so we check if this subgraph's own ns is in checkpoint_map.
+            # Normally the map only has ancestor entries (_algo.py); the
+            # subgraph's own entry only appears via get_state(subgraphs=True).
+            (
+                self.is_nested
+                and configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
+                in configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {})
+            )
+            or not (
+                # Outer graph: resume arrives as Command(resume=...)
+                (input_is_command and cast(Command, self.input).resume is not None)
+                # Subgraphs: resume arrives via config flag from parent
+                # (subgraph input is a Send arg, not a Command)
+                or configurable.get(CONFIG_KEY_RESUMING, False)
+            )
+        ):
+            self.checkpoint_pending_writes = [
+                w for w in self.checkpoint_pending_writes if w[1] != RESUME
+            ]
+
         # map command to writes
-        if isinstance(self.input, Command):
-            if (resume := self.input.resume) is not None:
+        if input_is_command:
+            if (resume := cast(Command, self.input).resume) is not None:
                 if not self.checkpointer:
                     raise RuntimeError(
                         "Cannot use Command(resume=...) without checkpointer"
@@ -657,7 +692,7 @@ class PregelLoop:
 
             writes: defaultdict[str, list[tuple[str, Any]]] = defaultdict(list)
             # group writes by task ID
-            for tid, c, v in map_command(cmd=self.input):
+            for tid, c, v in map_command(cmd=cast(Command, self.input)):
                 if not (c == RESUME and resume_is_map):
                     writes[tid].append((c, v))
             if not writes and not resume_is_map:
@@ -723,10 +758,30 @@ class PregelLoop:
             self._put_checkpoint({"source": "input"})
         elif CONFIG_KEY_RESUMING not in configurable:
             raise EmptyInputError(f"Received no input for {input_keys}")
-        # update config
+        # Propagate resuming and replaying flags to subgraphs.
         if not self.is_nested:
+            # Pass the resolved before-bound checkpoint ID so subgraphs can
+            # find their corresponding checkpoint without re-fetching the
+            # parent. For forks (source=update), use the fork's parent
+            # checkpoint ID since the fork was created after the subgraph's
+            # checkpoints from the original execution.
+            replay_state: ReplayState | None = None
+            if self.is_replaying:
+                replay_checkpoint_id = self.checkpoint["id"]
+                if (
+                    self.checkpoint_metadata.get("source") == "update"
+                    and self.prev_checkpoint_config
+                ):
+                    replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
+                        CONFIG_KEY_CHECKPOINT_ID, replay_checkpoint_id
+                    )
+                replay_state = ReplayState(replay_checkpoint_id)
             self.config = patch_configurable(
-                self.config, {CONFIG_KEY_RESUMING: is_resuming}
+                self.config,
+                {
+                    CONFIG_KEY_RESUMING: is_resuming,
+                    CONFIG_KEY_REPLAY_STATE: replay_state,
+                },
             )
         # set flag
         self.status = "pending"
@@ -1081,10 +1136,31 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
     # context manager
 
     def __enter__(self) -> Self:
-        if self.checkpointer:
-            saved = self.checkpointer.get_tuple(self.checkpoint_config)
-        else:
+        if not self.checkpointer:
             saved = None
+        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
+            # Explicit checkpoint_id requested — fetch that exact checkpoint.
+            # This covers both normal replay and subgraphs resolved via
+            # checkpoint_map during time-travel.
+            saved = self.checkpointer.get_tuple(self.checkpoint_config)
+        elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
+            # Subgraph replay: the parent is replaying and passed us a
+            # replay_state with its checkpoint_id. Look up our checkpoint
+            # from the parent's checkpoint_map instead of fetching latest.
+            saved = replay_state.get_checkpoint(
+                self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
+                self.checkpointer,
+                self.checkpoint_config,
+            )
+            # Clear RESUMING so _first re-applies input instead of resuming.
+            # This recreates ephemeral routing channels so nodes trigger
+            # naturally via version comparison.
+            self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
+        else:
+            # Normal case: fetch the most recent checkpoint for this
+            # graph/thread. Returns None on first invocation.
+            saved = self.checkpointer.get_tuple(self.checkpoint_config)
+
         if saved is None:
             saved = CheckpointTuple(
                 self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1109,7 +1185,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             if saved.pending_writes is not None
             else []
         )
-
         self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
         self.channels, self.managed = channels_from_checkpoint(
             self.specs, self.checkpoint
@@ -1260,10 +1335,31 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
     # context manager
 
     async def __aenter__(self) -> Self:
-        if self.checkpointer:
-            saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
-        else:
+        if not self.checkpointer:
             saved = None
+        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
+            # Explicit checkpoint_id requested — fetch that exact checkpoint.
+            # This covers both normal replay and subgraphs resolved via
+            # checkpoint_map during time-travel.
+            saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
+        elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
+            # Subgraph replay: the parent is replaying and passed us a
+            # replay_state with its checkpoint_id. Look up our checkpoint
+            # from the parent's checkpoint_map instead of fetching latest.
+            saved = await replay_state.aget_checkpoint(
+                self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
+                self.checkpointer,
+                self.checkpoint_config,
+            )
+            # Clear RESUMING so _first re-applies input instead of resuming.
+            # This recreates ephemeral routing channels so nodes trigger
+            # naturally via version comparison.
+            self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
+        else:
+            # Normal case: fetch the most recent checkpoint for this
+            # graph/thread. Returns None on first invocation.
+            saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
+
         if saved is None:
             saved = CheckpointTuple(
                 self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1288,7 +1384,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             if saved.pending_writes is not None
             else []
         )
-
         self.submit = await self.stack.enter_async_context(
             AsyncBackgroundExecutor(self.config)
         )

libs/langgraph/langgraph/pregel/_retry.py

@@ -14,15 +14,46 @@ from langgraph._internal._constants import (
     CONF,
     CONFIG_KEY_CHECKPOINT_NS,
     CONFIG_KEY_RESUMING,
+    CONFIG_KEY_RUNTIME,
     NS_SEP,
 )
 from langgraph.errors import GraphBubbleUp, ParentCommand
+from langgraph.runtime import Runtime
 from langgraph.types import Command, PregelExecutableTask, RetryPolicy
 
 logger = logging.getLogger(__name__)
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
 
 
+def _checkpoint_ns_for_parent_command(ns: str) -> str:
+    """Return the checkpoint namespace for the parent graph.
+
+    The checkpoint namespace is a `|`-separated path. Each segment is usually
+    of the form `name:task_id` (e.g. `parent_first:<uuid>|node:<uuid>`), but the
+    runtime may also insert a purely-numeric segment (e.g. `|1`) to disambiguate
+    concurrent tasks (e.g. `parent_first:<uuid>|1|node:<uuid>`).
+
+    Numeric segments are not real path levels, so we drop them before computing
+    the parent namespace.
+    """
+
+    parts = ns.split(NS_SEP)
+
+    # Drop any trailing numeric selectors for the current frame (e.g. `...|node:<id>|1`).
+    while parts and parts[-1].isdigit():
+        parts.pop()
+
+    # Drop the current frame segment itself (e.g. the `node:<id>`).
+    if parts:
+        parts.pop()
+
+    # Drop any trailing numeric selectors for the parent frame (e.g. `...|1|node:<id>`).
+    while parts and parts[-1].isdigit():
+        parts.pop()
+
+    return NS_SEP.join(parts)
+
+
 def run_with_retry(
     task: PregelExecutableTask,
     retry_policy: Sequence[RetryPolicy] | None,
@@ -31,10 +62,33 @@ def run_with_retry(
     """Run a task with retries."""
     retry_policy = task.retry_policy or retry_policy
     attempts = 0
+    node_first_attempt_time = time.time()
     config = task.config
     if configurable is not None:
         config = patch_configurable(config, configurable)
+    runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+    if isinstance(runtime, Runtime):
+        config = patch_configurable(
+            config,
+            {
+                CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                    node_first_attempt_time=node_first_attempt_time,
+                )
+            },
+        )
     while True:
+        runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+        if isinstance(runtime, Runtime):
+            config = patch_configurable(
+                config,
+                {
+                    CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                        # node_attempt is execution count (1-indexed): 1 on first run,
+                        # then 2, 3, ... on subsequent retries.
+                        node_attempt=attempts + 1,
+                    )
+                },
+            )
         try:
             # clear any writes from previous attempts
             task.writes.clear()
@@ -50,12 +104,8 @@ def run_with_retry(
                     w.invoke(cmd, config)
                 break
             elif cmd.graph == Command.PARENT:
-                # this command is for the parent graph, assign it to the parent
-                parts = ns.split(NS_SEP)
-                if parts[-1].isdigit():
-                    parts.pop()
-                parent_ns = NS_SEP.join(parts[:-1])
-                exc.args = (replace(cmd, graph=parent_ns),)
+                # this command is for the parent graph, assign it to the parent.
+                exc.args = (replace(cmd, graph=_checkpoint_ns_for_parent_command(ns)),)
             # bubble up
             raise
         except GraphBubbleUp:
@@ -77,7 +127,7 @@ def run_with_retry(
             if not matching_policy:
                 raise
 
-            # increment attempts
+            # attempts tracks failed tries only; it increments after a failure.
             attempts += 1
             # check if we should give up
             if attempts >= matching_policy.max_attempts:
@@ -116,15 +166,38 @@ async def arun_with_retry(
     """Run a task asynchronously with retries."""
     retry_policy = task.retry_policy or retry_policy
     attempts = 0
+    node_first_attempt_time = time.time()
     config = task.config
     if configurable is not None:
         config = patch_configurable(config, configurable)
+    runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+    if isinstance(runtime, Runtime):
+        config = patch_configurable(
+            config,
+            {
+                CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                    node_first_attempt_time=node_first_attempt_time,
+                )
+            },
+        )
     if match_cached_writes is not None and task.cache_key is not None:
         for t in await match_cached_writes():
             if t is task:
                 # if the task is already cached, return
                 return
     while True:
+        runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
+        if isinstance(runtime, Runtime):
+            config = patch_configurable(
+                config,
+                {
+                    CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
+                        # node_attempt is execution count (1-indexed): 1 on first run,
+                        # then 2, 3, ... on subsequent retries.
+                        node_attempt=attempts + 1,
+                    )
+                },
+            )
         try:
             # clear any writes from previous attempts
             task.writes.clear()
@@ -146,12 +219,8 @@ async def arun_with_retry(
                     w.invoke(cmd, config)
                 break
             elif cmd.graph == Command.PARENT:
-                # this command is for the parent graph, assign it to the parent
-                parts = ns.split(NS_SEP)
-                if parts[-1].isdigit():
-                    parts.pop()
-                parent_ns = NS_SEP.join(parts[:-1])
-                exc.args = (replace(cmd, graph=parent_ns),)
+                # this command is for the parent graph, assign it to the parent.
+                exc.args = (replace(cmd, graph=_checkpoint_ns_for_parent_command(ns)),)
             # bubble up
             raise
         except GraphBubbleUp:
@@ -173,7 +242,8 @@ async def arun_with_retry(
             if not matching_policy:
                 raise
 
-            # increment attempts
+            # attempts tracks failed tries only; it increments after a failure.
+            # The next execution's node_attempt is derived as attempts + 1.
             attempts += 1
             # check if we should give up
             if attempts >= matching_policy.max_attempts: