update snapshot

Raised by @jacoblee93, the following was raising a cryptic deprecation
warning:

```py
import pytest
from langchain_core.language_models import FakeListChatModel
from langchain.agents import create_agent

@pytest.fixture
def test_llm():
    return FakeListChatModel(responses=["Hello from test agent!"])

@pytest.fixture
def simple_agent(test_llm):
    return create_agent(
      model=test_llm,
      tools=[],
      prompt="You are a helpful assistant."
    )

def test_basic_agent_execution(simple_agent):
    result = simple_agent.invoke({"messages": [{"role": "user", "content": "hi"}]})
    assert len(result["messages"]) == 2
    assert result["messages"][1].content == "Hello from test agent!"
```

```
<frozen abc>:106
  <frozen abc>:106: LangGraphDeprecatedSinceV10: AgentStatePydantic has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStatePydantic'. Deprecated in LangGraph V1.0 to be removed in V2.0.

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
```

This fixes that issue.

I don't actually think we should re-expose these new states in
`langchain.agents` given that middleware agents don't use them. Need to
make a call on that.

.github/workflows/_integration_test.yml

@@ -14,7 +14,6 @@ jobs:
         python-version:
           - "3.10"
           - "3.11"
-          - "3.14"
         example:
           - name: A
             workdir: libs/cli/examples
@@ -41,7 +40,7 @@ jobs:
           filter: "libs/cli/**"
       - name: Set up Python ${{ matrix.python-version }}
         if: steps.changed-files.outputs.all
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ matrix.python-version }}
           enable-cache: true

.github/workflows/_lint.yml

@@ -39,7 +39,7 @@ jobs:
           filter: "${{ inputs.working-directory }}/**"
       - name: Set up Python ${{ matrix.python-version }}
         if: steps.changed-files.outputs.all
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ matrix.python-version }}
           enable-cache: true
@@ -48,7 +48,7 @@ jobs:
       - name: Install dependencies
         if: steps.changed-files.outputs.all
         working-directory: ${{ inputs.working-directory }}
-        run: uv sync --frozen --group lint
+        run: uv sync --frozen --group dev
 
       - name: Get .mypy_cache to speed up mypy
         if: steps.changed-files.outputs.all
@@ -74,7 +74,7 @@ jobs:
       - name: Install test dependencies
         if: steps.changed-files.outputs.all
         working-directory: ${{ inputs.working-directory }}
-        run: uv sync --group lint
+        run: uv sync --group dev
 
       - name: Get .mypy_cache_test to speed up mypy
         if: steps.changed-files.outputs.all

.github/workflows/_test.yml

@@ -21,13 +21,12 @@ jobs:
           - "3.11"
           - "3.12"
           - "3.13"
-          - "3.14"
 
     name: "test #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ matrix.python-version }}
           enable-cache: true
@@ -42,7 +41,7 @@ jobs:
       - name: Install dependencies
         shell: bash
         working-directory: ${{ inputs.working-directory }}
-        run: uv sync --frozen --group test --no-dev
+        run: uv sync --frozen --group dev
 
       - name: Run tests
         shell: bash

.github/workflows/_test_langgraph.yml

@@ -16,7 +16,6 @@ jobs:
           - "3.11"
           - "3.12"
           - "3.13"
-          - "3.14"
 
     defaults:
       run:
@@ -25,7 +24,7 @@ jobs:
     steps:
       - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ matrix.python-version }}
           enable-cache: true
@@ -39,7 +38,7 @@ jobs:
 
       - name: Install dependencies
         shell: bash
-        run: uv sync --frozen --group test --no-dev
+        run: uv sync --frozen --group dev
 
       - name: Run tests
         shell: bash

.github/workflows/_test_release.yml

@@ -26,7 +26,7 @@ jobs:
       - uses: actions/checkout@v5
 
       - name: Set up Python $${ env.PYTHON_VERSION }}
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           enable-cache: true

.github/workflows/baseline.yml

@@ -20,13 +20,13 @@ jobs:
       - uses: actions/checkout@v5
       - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
       - name: Set up Python 3.11
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: "3.11"
           enable-cache: true
           cache-suffix: "bench"
       - name: Install dependencies
-        run: uv sync --group test
+        run: uv sync --group dev
       - name: Run benchmarks
         run: OUTPUT=out/benchmark-baseline.json make -s benchmark
       - name: Save outputs

.github/workflows/bench.yml

@@ -22,13 +22,13 @@ jobs:
         with:
           format: json
       - name: Set up Python 3.11
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: "3.11"
           enable-cache: true
           cache-suffix: "bench"
       - name: Install dependencies
-        run: uv sync --group test
+        run: uv sync --group dev
       - name: Download baseline
         uses: actions/cache/restore@v4
         with:

.github/workflows/ci.yml

@@ -120,7 +120,7 @@ jobs:
     steps:
       - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: "3.11"
           enable-cache: true

.github/workflows/deploy_docs.yml

@@ -1,9 +1,12 @@
-name: Deploy Docs Redirects
+name: Deploy Docs
 
 on:
   push:
     branches:
       - main
+  pull_request:
+    branches:
+      - main
   workflow_dispatch:
 
 permissions:
@@ -20,6 +23,18 @@ defaults:
     working-directory: docs
 
 jobs:
+  get-changed-files:
+    runs-on: ubuntu-latest
+    outputs:
+      changed-files: ${{ steps.changed-files.outputs.added_modified }}
+    steps:
+      - uses: actions/checkout@v5
+      - name: Get changed files
+        id: changed-files
+        uses: Ana06/get-changed-files@v2.3.0
+        with:
+          filter: "docs/docs/**"
+
   deploy:
     runs-on: ubuntu-latest
     timeout-minutes: 10 # Job will be cancelled if it runs for more than 10 minutes
@@ -31,7 +46,7 @@ jobs:
           fetch-depth: 0
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: "3.12"
           enable-cache: true
@@ -47,21 +62,84 @@ jobs:
             uv run pip install "git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
           fi
 
+      - name: Run unit tests
+        # Run unit tests on the docs build pipeline
+        run: make tests
+      - name: Lint Docs
+        # This step lints the docs using the existing linting set up.
+        # It should be very fast and should not require any external services.
+        run: make lint-docs
       - name: Build llms-text
         run: make llms-text
-
-      - name: Build site (redirects only)
-        run: make build-docs
+      - name: Build site
+        run: |
+          # If this is main branch, then we want to download stats. we do this 
+          # with the env variable DOWNLOAD_STATS=true
+          if [ "${{ github.ref }}" == "refs/heads/main" ]; then
+            DOWNLOAD_STATS=true make build-docs
+          else
+            make build-docs
+          fi
         env:
+          MKDOCS_GIT_COMMITTERS_APIKEY: ${{ secrets.MKDOCS_GIT_COMMITTERS_APIKEY }}
           OPENAI_API_KEY: sf-proj-1234567890 # fake placeholder, shouldn't actually be used
           ANTHROPIC_API_KEY: sk-ant-api03-1234567890 # fake placeholder, shouldn't actually be used
+      - name: Check links in notebooks
+        env:
+          LANGCHAIN_API_KEY: test
+        if: github.event_name == 'schedule'
+        run: |
+          if [ "${{ github.event_name }}" == "schedule" ]; then
+            echo "Running link check on all HTML files matching notebooks in docs directory..."
+            uv run pytest -v \
+              --check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
+              --check-links-ignore "https://academy\.langchain\.com/.*" \
+              --check-links-ignore "https://x.com/.*" \
+              --check-links-ignore "https://twitter.com/.*" \
+              --check-links-ignore "https://github\.com/.*" \
+              --check-links-ignore "http://localhost:8123/.*" \
+              --check-links-ignore "http://localhost:2024.*" \
+              --check-links-ignore "http://127.0.0.1:.*" \
+              --check-links-ignore "/.*\.(ipynb|html)$" \
+              --check-links-ignore "https://python\.langchain\.com/.*" \
+              --check-links-ignore "https://openai\.com/.*" \
+              --check-links-ignore "https://www\.uber\.com/.*" \
+              --check-links-ignore "https://pepy\.tech/.*" \
+              --check-links-ignore "docs/docs/static/wordmark_*" \
+              --check-links $(find site -name "index.html" | grep -v 'storm/index.html')
+              
+          else
+            echo "Fetching changes from origin/main..."
+            git fetch origin main
+            echo "Checking for changed notebook files..."
+            CHANGED_FILES=$(git diff --name-only --diff-filter=d origin/main | grep 'docs/docs/.*\.ipynb$' | grep -v 'storm.ipynb' | sed -E 's|^docs/docs/|site/|; s/\.ipynb$/\/index.html/' || true)
+            echo "Changed files: ${CHANGED_FILES}"
+            if [ -n "${CHANGED_FILES}" ]; then
+              echo "Running link check on HTML files matching changed notebook files..."
+              uv run pytest -v \
+                --check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
+                --check-links-ignore "https://academy\.langchain\.com/.*" \
+                --check-links-ignore "http://localhost:8123/.*" \
+                --check-links-ignore "http://localhost:2024.*" \
+                --check-links-ignore "http://127.0.0.1:.*" \
+                --check-links-ignore "https://x.com/.*" \
+                --check-links-ignore "https://twitter.com/.*" \
+                --check-links-ignore "https://github\.com/.*" \
+                --check-links-ignore "/.*\.(ipynb|html)$" \
+                --check-links-ignore "docs/docs/static/wordmark_*" \
+                --check-links ${CHANGED_FILES} \
+                || ([ $? = 5 ] && exit 0 || exit $?)
+            else
+              echo "No notebook files changed."
+            fi
+          fi
 
       - name: Configure GitHub Pages
         if: github.ref == 'refs/heads/main'
         uses: actions/configure-pages@v5
 
       - name: Upload Pages Artifact
-        if: github.ref == 'refs/heads/main'
+        # if: github.ref == 'refs/heads/main'
         uses: actions/upload-pages-artifact@v4
         with:
           path: ./docs/site/

.github/workflows/release.yml

@@ -28,7 +28,7 @@ jobs:
       - uses: actions/checkout@v5
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           enable-cache: true
@@ -173,7 +173,7 @@ jobs:
       #   used in the real world.
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           enable-cache: true
@@ -221,7 +221,7 @@ jobs:
           uv run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
 
       - name: Import test dependencies
-        run: uv sync --group test
+        run: uv sync --group dev
         working-directory: ${{ inputs.working-directory }}
 
       # Overwrite the local version of the package with the test PyPI version.
@@ -263,7 +263,7 @@ jobs:
       - uses: actions/checkout@v5
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           enable-cache: true
@@ -304,7 +304,7 @@ jobs:
       - uses: actions/checkout@v5
 
       - name: Set up Python
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           enable-cache: true

.github/workflows/run_notebooks.yml

@@ -30,7 +30,7 @@ jobs:
     steps:
       - uses: actions/checkout@v5
       - name: Set up Python + Poetry
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           python-version: "3.11"
           enable-cache: true

.github/workflows/uv_lock_ugprade.yml

@@ -19,7 +19,7 @@ jobs:
       - uses: actions/checkout@v5
       
       - name: Set up uv
-        uses: astral-sh/setup-uv@v7
+        uses: astral-sh/setup-uv@v6
         with:
           # use minimum supported Python version
           python-version: "3.10"

AGENTS.md

@@ -28,7 +28,7 @@ Below is a high-level overview:
 - **langgraph** – core framework for building stateful, multi-actor agents.
 - **prebuilt** – high-level APIs for creating and running agents and tools.
 - **sdk-js** – JS/TS SDK for interacting with the LangGraph REST API.
-- **sdk-py** – Python SDK for the LangGraph Server API.
+- **sdk-py** – Python SDK for the LangGraph Platform API.
 
 ### Dependency map
 

CONTRIBUTING.md

@@ -277,9 +277,9 @@ def my_function(arg1: int, arg2: str) -> float:
     Examples:
         This is a section for examples of how to use the function.
 
-        ```python
-        my_function(1, "hello")
-        \```
+        .. code-block:: python
+
+            my_function(1, "hello")
 
     Args:
         arg1: This is a description of arg1. We do not need to specify the type since

README.md

@@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s
 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://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — 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://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
+- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — 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://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
 - [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development.
 
 > [!NOTE]

docs/_scripts/handle_auto_links.py

@@ -29,11 +29,7 @@ logger = logging.getLogger(__name__)
 
 
 def _transform_link(
-    link_name: str,
-    scope: str,
-    file_path: str,
-    line_number: int,
-    custom_title: Optional[str] = None,
+    link_name: str, scope: str, file_path: str, line_number: int, custom_title: Optional[str] = None
 ) -> Optional[str]:
     """Transform a cross-reference link based on the current scope.
 
@@ -42,7 +38,7 @@ def _transform_link(
         scope: The current scope context ("global", "python", "js", etc.).
         file_path: The file path for error reporting.
         line_number: The line number for error reporting.
-        custom_title: Optional custom title for the link. If `None`, uses link_name.
+        custom_title: Optional custom title for the link. If None, uses link_name.
 
     Returns:
         A formatted markdown link if the link is found in the scope mapping,
@@ -121,9 +117,7 @@ CROSS_REFERENCE_PATTERN = re.compile(
 )
 
 
-def _replace_autolinks(
-    markdown: str, file_path: str, *, default_scope: str = "python"
-) -> str:
+def _replace_autolinks(markdown: str, file_path: str, *, default_scope: str = "python") -> str:
     """Preprocess markdown lines to handle @[links] with conditional fence scopes.
 
     This function processes markdown content to transform @[link_name] references
@@ -175,7 +169,7 @@ def _replace_autolinks(
                 # This is @[ref] format
                 link_name = match.group("link_name")
                 custom_title = None
-
+            
             transformed = _transform_link(
                 link_name, current_scope, file_path, line_number, custom_title
             )

docs/_scripts/notebook_hooks.py

@@ -27,413 +27,185 @@ DISABLED = os.getenv("DISABLE_NOTEBOOK_CONVERT") in ("1", "true", "True")
 
 REDIRECT_MAP = {
     # lib redirects
-    "how-tos/stream-values.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/stream-updates.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/streaming-content.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/stream-multiple.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/streaming-tokens-without-langchain.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/streaming-from-final-node.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/streaming-events-from-within-tools-without-langchain.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
+    "how-tos/stream-values.ipynb": "how-tos/streaming.md#stream-graph-state",
+    "how-tos/stream-updates.ipynb": "how-tos/streaming.md#stream-graph-state",
+    "how-tos/streaming-content.ipynb": "how-tos/streaming.md",
+    "how-tos/stream-multiple.ipynb": "how-tos/streaming.md#stream-multiple-nodes",
+    "how-tos/streaming-tokens-without-langchain.ipynb": "how-tos/streaming.md#use-with-any-llm",
+    "how-tos/streaming-from-final-node.ipynb": "how-tos/streaming-specific-nodes.ipynb",
+    "how-tos/streaming-events-from-within-tools-without-langchain.ipynb": "how-tos/streaming-events-from-within-tools.ipynb#example-without-langchain",
     # graph-api
-    "how-tos/state-reducers.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-and-update-state",
-    "how-tos/sequence.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-a-sequence-of-steps",
-    "how-tos/branching.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-branches",
-    "how-tos/recursion-limit.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-and-control-loops",
-    "how-tos/visualization.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#visualize-your-graph",
-    "how-tos/input_output_schema.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-input-and-output-schemas",
-    "how-tos/pass_private_state.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#pass-private-state-between-nodes",
-    "how-tos/state-model.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#use-pydantic-models-for-graph-state",
-    "how-tos/map-reduce.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#map-reduce-and-the-send-api",
-    "how-tos/command.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#combine-control-flow-and-state-updates-with-command",
-    "how-tos/configuration.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-runtime-configuration",
-    "how-tos/node-retries.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-retry-policies",
-    "how-tos/return-when-recursion-limit-hits.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#impose-a-recursion-limit",
-    "how-tos/async.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#async",
+    "how-tos/state-reducers.ipynb": "how-tos/graph-api.md#define-and-update-state",
+    "how-tos/sequence.ipynb": "how-tos/graph-api.md#create-a-sequence-of-steps",
+    "how-tos/branching.ipynb": "how-tos/graph-api.md#create-branches",
+    "how-tos/recursion-limit.ipynb": "how-tos/graph-api.md#create-and-control-loops",
+    "how-tos/visualization.ipynb": "how-tos/graph-api.md#visualize-your-graph",
+    "how-tos/input_output_schema.ipynb": "how-tos/graph-api.md#define-input-and-output-schemas",
+    "how-tos/pass_private_state.ipynb": "how-tos/graph-api.md#pass-private-state-between-nodes",
+    "how-tos/state-model.ipynb": "how-tos/graph-api.md#use-pydantic-models-for-graph-state",
+    "how-tos/map-reduce.ipynb": "how-tos/graph-api.md#map-reduce-and-the-send-api",
+    "how-tos/command.ipynb": "how-tos/graph-api.md#combine-control-flow-and-state-updates-with-command",
+    "how-tos/configuration.ipynb": "how-tos/graph-api.md#add-runtime-configuration",
+    "how-tos/node-retries.ipynb": "how-tos/graph-api.md#add-retry-policies",
+    "how-tos/return-when-recursion-limit-hits.ipynb": "how-tos/graph-api.md#impose-a-recursion-limit",
+    "how-tos/async.ipynb": "how-tos/graph-api.md#async",
     # memory how-tos
-    "how-tos/memory/manage-conversation-history.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "how-tos/memory/delete-messages.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#delete-messages",
-    "how-tos/memory/add-summary-conversation-history.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#summarize-messages",
-    "how-tos/memory.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "agents/memory.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+    "how-tos/memory/manage-conversation-history.ipynb": "how-tos/memory/add-memory.md",
+    "how-tos/memory/delete-messages.ipynb": "how-tos/memory/add-memory.md#delete-messages",
+    "how-tos/memory/add-summary-conversation-history.ipynb": "how-tos/memory/add-memory.md#summarize-messages",
+    "how-tos/memory.ipynb": "how-tos/memory/add-memory.md",
+    "agents/memory.ipynb": "how-tos/memory/add-memory.md",
     # subgraph how-tos
-    "how-tos/subgraph-transform-state.ipynb": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#different-state-schemas",
-    "how-tos/subgraphs-manage-state.ipynb": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#add-persistence",
+    "how-tos/subgraph-transform-state.ipynb": "how-tos/subgraph.md#different-state-schemas",
+    "how-tos/subgraphs-manage-state.ipynb": "how-tos/subgraph.md#add-persistence",
     # persistence how-tos
-    "how-tos/persistence_postgres.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
-    "how-tos/persistence_mongodb.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
-    "how-tos/persistence_redis.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
-    "how-tos/subgraph-persistence.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-with-subgraphs",
-    "how-tos/cross-thread-persistence.ipynb": "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.md": "https://docs.langchain.com/oss/python/langgraph/persistence#threads",
-    "how-tos/persistence.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
+    "how-tos/persistence_postgres.ipynb": "how-tos/memory/add-memory.md#use-in-production",
+    "how-tos/persistence_mongodb.ipynb": "how-tos/memory/add-memory.md#use-in-production",
+    "how-tos/persistence_redis.ipynb": "how-tos/memory/add-memory.md#use-in-production",
+    "how-tos/subgraph-persistence.ipynb": "how-tos/memory/add-memory.md#use-with-subgraphs",
+    "how-tos/cross-thread-persistence.ipynb": "how-tos/memory/add-memory.md#add-long-term-memory",
+    "cloud/how-tos/copy_threads": "cloud/how-tos/use_threads",
+    "cloud/how-tos/check-thread-status": "cloud/how-tos/use_threads",
+    "cloud/concepts/threads.md": "concepts/persistence.md#threads",
+    "how-tos/persistence.ipynb": "how-tos/memory/add-memory.md",
     # tool calling how-tos
-    "how-tos/tool-calling-errors.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "how-tos/pass-config-to-tools.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "how-tos/pass-run-time-values-to-tools.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "how-tos/update-state-from-tools.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "agents/tools.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
+    "how-tos/tool-calling-errors.ipynb": "how-tos/tool-calling.ipynb#handle-errors",
+    "how-tos/pass-config-to-tools.ipynb": "how-tos/tool-calling.ipynb#access-config",
+    "how-tos/pass-run-time-values-to-tools.ipynb": "how-tos/tool-calling.ipynb#read-state",
+    "how-tos/update-state-from-tools.ipynb": "how-tos/tool-calling.ipynb#update-state",
+    "agents/tools.md": "how-tos/tool-calling.md",
     # multi-agent how-tos
-    "how-tos/agent-handoffs.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "how-tos/multi-agent-network.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "how-tos/multi-agent-multi-turn-convo.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api",
+    "how-tos/agent-handoffs.ipynb": "how-tos/multi_agent.md#handoffs",
+    "how-tos/multi-agent-network.ipynb": "how-tos/multi_agent.md#use-in-a-multi-agent-system",
+    "how-tos/multi-agent-multi-turn-convo.ipynb": "how-tos/multi_agent.md#multi-turn-conversation",
     # cloud redirects
-    "cloud/index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "cloud/how-tos/index.md": "https://docs.langchain.com/langsmith/home",
-    "cloud/concepts/api.md": "https://docs.langchain.com/langsmith/langgraph-server",
-    "cloud/concepts/cloud.md": "https://docs.langchain.com/langsmith/cloud",
-    "cloud/faq/studio.md": "https://docs.langchain.com/langsmith/studio",
-    "cloud/how-tos/human_in_the_loop_edit_state.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
-    "cloud/how-tos/human_in_the_loop_user_input.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
-    "concepts/platform_architecture.md": "https://docs.langchain.com/langsmith/cloud#architecture",
+    "cloud/index.md": "index.md",
+    "cloud/how-tos/index.md": "concepts/langgraph_platform",
+    "cloud/concepts/api.md": "concepts/langgraph_server.md",
+    "cloud/concepts/cloud.md": "concepts/langgraph_cloud.md",
+    "cloud/faq/studio.md": "concepts/langgraph_studio.md#studio-faqs",
+    "cloud/how-tos/human_in_the_loop_edit_state.md": "cloud/how-tos/add-human-in-the-loop.md",
+    "cloud/how-tos/human_in_the_loop_user_input.md": "cloud/how-tos/add-human-in-the-loop.md",
+    "concepts/platform_architecture.md": "concepts/langgraph_cloud#architecture",
     # cloud streaming redirects
-    "cloud/how-tos/stream_values.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/how-tos/stream_updates.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/how-tos/stream_messages.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/how-tos/stream_events.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/how-tos/stream_debug.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/how-tos/stream_multiple.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/concepts/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "agents/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
+    "cloud/how-tos/stream_values.md": "https://docs.langchain.com/langgraph-platform/streaming",
+    "cloud/how-tos/stream_updates.md": "https://docs.langchain.com/langgraph-platform/streaming",
+    "cloud/how-tos/stream_messages.md": "https://docs.langchain.com/langgraph-platform/streaming",
+    "cloud/how-tos/stream_events.md": "https://docs.langchain.com/langgraph-platform/streaming",
+    "cloud/how-tos/stream_debug.md": "https://docs.langchain.com/langgraph-platform/streaming",
+    "cloud/how-tos/stream_multiple.md": "https://docs.langchain.com/langgraph-platform/streaming",
+    "cloud/concepts/streaming.md": "concepts/streaming.md",
+    "agents/streaming.md": "how-tos/streaming.md",
     # prebuilt redirects
-    "how-tos/create-react-agent.ipynb": "https://docs.langchain.com/oss/python/langchain/agents#basic-configuration",
-    "how-tos/create-react-agent-memory.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "how-tos/create-react-agent-system-prompt.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "how-tos/create-react-agent-structured-output.ipynb": "https://docs.langchain.com/oss/python/langchain/agents#structured-output",
+    "how-tos/create-react-agent.ipynb": "agents/agents.md#basic-configuration",
+    "how-tos/create-react-agent-memory.ipynb": "agents/memory.md",
+    "how-tos/create-react-agent-system-prompt.ipynb": "agents/context.md#prompts",
+    "how-tos/create-react-agent-structured-output.ipynb": "agents/agents.md#structured-output",
     # misc
-    "prebuilt.md": "https://docs.langchain.com/oss/python/langchain/agents",
-    "reference/prebuilt.md": "https://reference.langchain.com/python/langgraph/agents/",
-    "concepts/high_level.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "concepts/index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "concepts/v0-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "how-tos/index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "tutorials/introduction.ipynb": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "agents/deployment.md": "https://docs.langchain.com/oss/python/langgraph/local-server",
+    "prebuilt.md": "agents/prebuilt.md",
+    "reference/prebuilt.md": "reference/agents.md",
+    "concepts/high_level.md": "index.md",
+    "concepts/index.md": "index.md",
+    "concepts/v0-human-in-the-loop.md": "concepts/human-in-the-loop.md",
+    "how-tos/index.md": "index.md",
+    "tutorials/introduction.ipynb": "concepts/why-langgraph.md",
+    "agents/deployment.md": "tutorials/langgraph-platform/local-server.md",
     # deployment redirects
-    "how-tos/deploy-self-hosted.md": "https://docs.langchain.com/langsmith/hosting",
-    "concepts/self_hosted.md": "https://docs.langchain.com/langsmith/hosting",
-    "tutorials/deployment.md": "https://docs.langchain.com/langsmith/deployments",
+    "how-tos/deploy-self-hosted.md": "cloud/deployment/self_hosted_data_plane.md",
+    "concepts/self_hosted.md": "concepts/langgraph_self_hosted_data_plane.md",
+    "tutorials/deployment.md": "concepts/deployment_options.md",
     # assistant redirects
-    "cloud/how-tos/assistant_versioning.md": "https://docs.langchain.com/langsmith/configuration-cloud",
-    "cloud/concepts/runs.md": "https://docs.langchain.com/langsmith/assistants#execution",
+    "cloud/how-tos/assistant_versioning.md": "cloud/how-tos/configuration_cloud.md",
+    "cloud/concepts/runs.md": "concepts/assistants.md#execution",
     # hitl redirects
-    "how-tos/wait-user-input-functional.ipynb": "https://docs.langchain.com/oss/python/langgraph/functional-api",
-    "how-tos/review-tool-calls-functional.ipynb": "https://docs.langchain.com/oss/python/langgraph/functional-api",
-    "how-tos/create-react-agent-hitl.ipynb": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "agents/human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "how-tos/human_in_the_loop/dynamic_breakpoints.ipynb": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "concepts/breakpoints.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "how-tos/human_in_the_loop/breakpoints.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "cloud/how-tos/human_in_the_loop_breakpoint.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
-    "how-tos/human_in_the_loop/edit-graph-state.ipynb": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
+    "how-tos/wait-user-input-functional.ipynb": "how-tos/use-functional-api.md",
+    "how-tos/review-tool-calls-functional.ipynb": "how-tos/use-functional-api.md",
+    "how-tos/create-react-agent-hitl.ipynb": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
+    "agents/human-in-the-loop.md": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
+    "how-tos/human_in_the_loop/dynamic_breakpoints.ipynb": "how-tos/human_in_the_loop/breakpoints.md",
+    "concepts/breakpoints.md": "concepts/human_in_the_loop.md",
+    "how-tos/human_in_the_loop/breakpoints.md": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
+    "cloud/how-tos/human_in_the_loop_breakpoint.md": "cloud/how-tos/add-human-in-the-loop.md",
+    "how-tos/human_in_the_loop/edit-graph-state.ipynb": "how-tos/human_in_the_loop/time-travel.md",
 
     # LGP mintlify migration redirects
-    "tutorials/auth/getting_started.md": "https://docs.langchain.com/langsmith/auth",
-    "tutorials/auth/resource_auth.md": "https://docs.langchain.com/langsmith/resource-auth",
-    "tutorials/auth/add_auth_server.md": "https://docs.langchain.com/langsmith/add-auth-server",
-    "how-tos/use-remote-graph.md": "https://docs.langchain.com/langsmith/use-remote-graph",
-    "how-tos/autogen-integration.md": "https://docs.langchain.com/langsmith/autogen-integration",
-    "cloud/how-tos/use_stream_react.md": "https://docs.langchain.com/langsmith/use-stream-react",
-    "cloud/how-tos/generative_ui_react.md": "https://docs.langchain.com/langsmith/generative-ui-react",
-    "concepts/langgraph_platform.md": "https://docs.langchain.com/langsmith/deployments",
-    "concepts/langgraph_components.md": "https://docs.langchain.com/langsmith/components",
-    "concepts/langgraph_server.md": "https://docs.langchain.com/langsmith/langgraph-server",
-    "concepts/langgraph_data_plane.md": "https://docs.langchain.com/langsmith/data-plane",
-    "concepts/langgraph_control_plane.md": "https://docs.langchain.com/langsmith/control-plane",
-    "concepts/langgraph_cli.md": "https://docs.langchain.com/langsmith/cli",
-    "concepts/langgraph_studio.md": "https://docs.langchain.com/langsmith/studio",
-    "cloud/how-tos/studio/quick_start.md": "https://docs.langchain.com/langsmith/quick-start-studio",
-    "cloud/how-tos/invoke_studio.md": "https://docs.langchain.com/langsmith/use-studio#run-application",
-    "cloud/how-tos/studio/manage_assistants.md": "https://docs.langchain.com/langsmith/use-studio#manage-assistants",
-    "cloud/how-tos/threads_studio.md": "https://docs.langchain.com/langsmith/use-studio#manage-threads",
-    "cloud/how-tos/iterate_graph_studio.md": "https://docs.langchain.com/langsmith/observability-studio#iterate-on-prompts",
-    "cloud/how-tos/studio/run_evals.md": "https://docs.langchain.com/langsmith/observability-studio#run-experiments-over-a-dataset",
-    "cloud/how-tos/clone_traces_studio.md": "https://docs.langchain.com/langsmith/observability-studio#debug-langsmith-traces",
-    "cloud/how-tos/datasets_studio.md": "https://docs.langchain.com/langsmith/observability-studio#add-node-to-dataset",
-    "concepts/sdk.md": "https://docs.langchain.com/langsmith/sdk",
-    "concepts/plans.md": "https://langchain.com/pricing",
-    "concepts/application_structure.md": "https://docs.langchain.com/langsmith/application-structure",
-    "concepts/scalability_and_resilience.md": "https://docs.langchain.com/langsmith/scalability-and-resilience",
-    "concepts/auth.md": "https://docs.langchain.com/langsmith/authentication-methods",
-    "how-tos/auth/custom_auth.md": "https://docs.langchain.com/langsmith/custom-auth",
-    "how-tos/auth/openapi_security.md": "https://docs.langchain.com/langsmith/openapi-security",
-    "concepts/assistants.md": "https://docs.langchain.com/langsmith/assistants",
-    "cloud/how-tos/configuration_cloud.md": "https://docs.langchain.com/langsmith/cloud",
-    "cloud/how-tos/use_threads.md": "https://docs.langchain.com/langsmith/use-threads",
-    "cloud/how-tos/background_run.md": "https://docs.langchain.com/langsmith/background-run",
-    "cloud/how-tos/same-thread.md": "https://docs.langchain.com/langsmith/same-thread",
-    "cloud/how-tos/stateless_runs.md": "https://docs.langchain.com/langsmith/stateless-runs",
-    "cloud/how-tos/configurable_headers.md": "https://docs.langchain.com/langsmith/configurable-headers",
-    "concepts/double_texting.md": "https://docs.langchain.com/langsmith/double-texting",
-    "cloud/how-tos/interrupt_concurrent.md": "https://docs.langchain.com/langsmith/interrupt-concurrent",
-    "cloud/how-tos/rollback_concurrent.md": "https://docs.langchain.com/langsmith/rollback-concurrent",
-    "cloud/how-tos/reject_concurrent.md": "https://docs.langchain.com/langsmith/reject-concurrent",
-    "cloud/how-tos/enqueue_concurrent.md": "https://docs.langchain.com/langsmith/enqueue-concurrent",
-    "cloud/concepts/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
-    "cloud/how-tos/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
-    "cloud/concepts/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
-    "cloud/how-tos/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
-    "how-tos/http/custom_lifespan.md": "https://docs.langchain.com/langsmith/custom-lifespan",
-    "how-tos/http/custom_middleware.md": "https://docs.langchain.com/langsmith/custom-middleware",
-    "how-tos/http/custom_routes.md": "https://docs.langchain.com/langsmith/custom-routes",
-    "cloud/concepts/data_storage_and_privacy.md": "https://docs.langchain.com/langsmith/data-storage-and-privacy",
-    "cloud/deployment/semantic_search.md": "https://docs.langchain.com/langsmith/semantic-search",
-    "how-tos/ttl/configure_ttl.md": "https://docs.langchain.com/langsmith/configure-ttl",
-    "concepts/deployment_options.md": "https://docs.langchain.com/langsmith/hosting",
-    "cloud/quick_start.md": "https://docs.langchain.com/langsmith/deployment-quickstart",
-    "cloud/deployment/setup.md": "https://docs.langchain.com/langsmith/setup-app-requirements-txt",
-    "cloud/deployment/setup_pyproject.md": "https://docs.langchain.com/langsmith/setup-pyproject",
-    "cloud/deployment/setup_javascript.md": "https://docs.langchain.com/langsmith/setup-javascript",
-    "cloud/deployment/custom_docker.md": "https://docs.langchain.com/langsmith/custom-docker",
-    "cloud/deployment/graph_rebuild.md": "https://docs.langchain.com/langsmith/graph-rebuild",
-    "concepts/langgraph_cloud.md": "https://docs.langchain.com/langsmith/cloud",
-    "concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/hybrid",
-    "concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/self-hosted",
-    "concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langsmith/self-hosted#standalone-server",
-    "cloud/deployment/cloud.md": "https://docs.langchain.com/langsmith/cloud",
-    "cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/deploy-hybrid",
-    "cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/deploy-self-hosted-full-platform",
-    "cloud/deployment/standalone_container.md": "https://docs.langchain.com/langsmith/deploy-standalone-server",
-    "concepts/server-mcp.md": "https://docs.langchain.com/langsmith/server-mcp",
-    "cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langsmith/human-in-the-loop-time-travel",
-    "cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
-    "cloud/deployment/egress.md": "https://docs.langchain.com/langsmith/env-var",
-    "cloud/how-tos/streaming.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/reference/api/api_ref.md": "https://docs.langchain.com/langsmith/server-api-ref",
-    "cloud/reference/langgraph_server_changelog.md": "https://docs.langchain.com/langsmith/langgraph-server-changelog",
-    "cloud/reference/api/api_ref_control_plane.md": "https://docs.langchain.com/langsmith/api-ref-control-plane",
-    "cloud/reference/cli.md": "https://docs.langchain.com/langsmith/cli",
-    "cloud/reference/env_var.md": "https://docs.langchain.com/langsmith/env-var",
-    "troubleshooting/studio.md": "https://docs.langchain.com/langsmith/troubleshooting-studio",
-
-    # LangGraph mintlify migration redirects
-    "index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "agents/agents.md": "https://docs.langchain.com/oss/python/langchain/agents",
-    "concepts/why-langgraph.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "tutorials/get-started/1-build-basic-chatbot.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "tutorials/get-started/2-add-tools.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "tutorials/get-started/3-add-memory.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "tutorials/get-started/4-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "tutorials/get-started/5-customize-state.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "tutorials/get-started/6-time-travel.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "tutorials/langsmith/local-server.md": "https://docs.langchain.com/oss/python/langgraph/local-server",
-    "tutorials/workflows.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "concepts/agentic_concepts.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "guides/index.md": "https://docs.langchain.com/oss/python/langchain/overview",
-    "agents/overview.md": "https://docs.langchain.com/oss/python/langchain/agents",
-    "agents/run_agents.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "concepts/low_level.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "how-tos/graph-api.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "concepts/functional_api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
-    "how-tos/use-functional-api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
-    "concepts/pregel.md": "https://docs.langchain.com/oss/python/langgraph/pregel",
-    "concepts/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "concepts/persistence.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
-    "concepts/durable_execution.md": "https://docs.langchain.com/oss/python/langgraph/durable-execution",
-    "concepts/memory.md": "https://docs.langchain.com/oss/python/langgraph/memory",
-    "how-tos/memory/add-memory.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "agents/context.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "agents/models.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "concepts/tools.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "how-tos/tool-calling.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "concepts/human_in_the_loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "how-tos/human_in_the_loop/add-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "concepts/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
-    "how-tos/human_in_the_loop/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
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-    "how-tos/subgraph.md": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
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-    "agents/multi-agent.md": "https://docs.langchain.com/oss/python/langchain/multi-agent",
-    "how-tos/multi_agent.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "concepts/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "agents/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "concepts/tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
-    "how-tos/enable-tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
-    "agents/evals.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "examples/index.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
-    "concepts/template_applications.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "tutorials/rag/langgraph_agentic_rag.md": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
-    "tutorials/multi_agent/agent_supervisor.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "tutorials/sql/sql-agent.md": "https://docs.langchain.com/oss/python/langgraph/sql-agent",
-    "agents/ui.md": "https://docs.langchain.com/oss/python/langgraph/ui",
-    "how-tos/run-id-langsmith.md": "https://docs.langchain.com/oss/python/langgraph/observability",
-    "troubleshooting/errors/index.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
-    "troubleshooting/errors/INVALID_CHAT_HISTORY.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
-    "troubleshooting/errors/INVALID_LICENSE.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
-    "adopters.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
-    "concepts/faq.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "agents/prebuilt.md": "https://docs.langchain.com/oss/python/langchain/agents",
-    "reference/index.md": "https://reference.langchain.com/python/langgraph/",
-    "reference/graphs.md": "https://reference.langchain.com/python/langgraph/graphs/",
-    "reference/func.md": "https://reference.langchain.com/python/langgraph/func/",
-    "reference/pregel.md": "https://reference.langchain.com/python/langgraph/pregel/",
-    "reference/checkpoints.md": "https://reference.langchain.com/python/langgraph/checkpoints/",
-    "reference/store.md": "https://reference.langchain.com/python/langgraph/store/",
-    "reference/cache.md": "https://reference.langchain.com/python/langgraph/cache/",
-    "reference/types.md": "https://reference.langchain.com/python/langgraph/types/",
-    "reference/runtime.md": "https://reference.langchain.com/python/langgraph/runtime/",
-    "reference/config.md": "https://reference.langchain.com/python/langgraph/config/",
-    "reference/errors.md": "https://reference.langchain.com/python/langgraph/errors/",
-    "reference/constants.md": "https://reference.langchain.com/python/langgraph/constants/",
-    "reference/channels.md": "https://reference.langchain.com/python/langgraph/channels/",
-    "reference/agents.md": "https://reference.langchain.com/python/langgraph/agents/",
-    "reference/supervisor.md": "https://reference.langchain.com/python/langgraph/supervisor/",
-    "reference/swarm.md": "https://reference.langchain.com/python/langgraph/swarm/",
-    "reference/mcp.md": "https://reference.langchain.com/python/langgraph/mcp/",
-    "cloud/reference/sdk/python_sdk_ref.md": "https://reference.langchain.com/python/platform/python_sdk/",
-    "reference/remote_graph.md": "https://reference.langchain.com/python/platform/remote_graph/",
-
-    # additional exclude-search entries from mkdocs.yml
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-    "cloud/concepts/data_storage_and_privacy.md": "https://docs.langchain.com/langsmith/data-storage-and-privacy",
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-    "cloud/deployment/cloud.md": "https://docs.langchain.com/langsmith/cloud",
-    "cloud/deployment/custom_docker.md": "https://docs.langchain.com/langsmith/custom-docker",
-    "cloud/deployment/egress.md": "https://docs.langchain.com/langsmith/env-var",
-    "cloud/deployment/graph_rebuild.md": "https://docs.langchain.com/langsmith/graph-rebuild",
-    "cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/hosting",
-    "cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/hosting",
-    "cloud/deployment/semantic_search.md": "https://docs.langchain.com/langsmith/semantic-search",
-    "cloud/deployment/setup_javascript.md": "https://docs.langchain.com/langsmith/setup-javascript",
-    "cloud/deployment/setup_pyproject.md": "https://docs.langchain.com/langsmith/setup-pyproject",
-    "cloud/deployment/setup.md": "https://docs.langchain.com/langsmith/setup-app-requirements-txt",
-    "cloud/deployment/standalone_container.md": "https://docs.langchain.com/langsmith/docker",
-    "cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
-    "cloud/how-tos/background_run.md": "https://docs.langchain.com/langsmith/background-run",
-    "cloud/how-tos/clone_traces_studio.md": "https://docs.langchain.com/langsmith/observability",
-    "cloud/how-tos/configurable_headers.md": "https://docs.langchain.com/langsmith/configurable-headers",
-    "cloud/how-tos/configuration_cloud.md": "https://docs.langchain.com/langsmith/configuration-cloud",
-    "cloud/how-tos/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
-    "cloud/how-tos/datasets_studio.md": "https://docs.langchain.com/langsmith/use-studio",
-    "cloud/how-tos/enqueue_concurrent.md": "https://docs.langchain.com/langsmith/enqueue-concurrent",
-    "cloud/how-tos/generative_ui_react.md": "https://docs.langchain.com/langsmith/generative-ui-react",
-    "cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langsmith/human-in-the-loop-time-travel",
-    "cloud/how-tos/interrupt_concurrent.md": "https://docs.langchain.com/langsmith/interrupt-concurrent",
-    "cloud/how-tos/invoke_studio.md": "https://docs.langchain.com/langsmith/use-studio",
-    "cloud/how-tos/iterate_graph_studio.md": "https://docs.langchain.com/langsmith/use-studio",
-    "cloud/how-tos/reject_concurrent.md": "https://docs.langchain.com/langsmith/reject-concurrent",
-    "cloud/how-tos/rollback_concurrent.md": "https://docs.langchain.com/langsmith/rollback-concurrent",
-    "cloud/how-tos/same-thread.md": "https://docs.langchain.com/langsmith/same-thread",
-    "cloud/how-tos/stateless_runs.md": "https://docs.langchain.com/langsmith/stateless-runs",
-    "cloud/how-tos/streaming.md": "https://docs.langchain.com/langsmith/streaming",
-    "cloud/how-tos/studio/manage_assistants.md": "https://docs.langchain.com/langsmith/use-studio",
-    "cloud/how-tos/studio/quick_start.md": "https://docs.langchain.com/langsmith/quick-start-studio",
-    "cloud/how-tos/studio/run_evals.md": "https://docs.langchain.com/langsmith/observability",
-    "cloud/how-tos/threads_studio.md": "https://docs.langchain.com/langsmith/use-threads",
-    "cloud/how-tos/use_stream_react.md": "https://docs.langchain.com/langsmith/use-stream-react",
-    "cloud/how-tos/use_threads.md": "https://docs.langchain.com/langsmith/use-threads",
-    "cloud/how-tos/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
-    "cloud/quick_start.md": "https://docs.langchain.com/langsmith/deployment-quickstart",
-    "cloud/reference/api/api_ref_control_plane.md": "https://docs.langchain.com/langsmith/api-ref-control-plane",
-    "cloud/reference/api/api_ref.md": "https://docs.langchain.com/langsmith/server-api-ref",
-    "cloud/reference/cli.md": "https://docs.langchain.com/langsmith/cli",
-    "cloud/reference/env_var.md": "https://docs.langchain.com/langsmith/env-var",
-    "cloud/reference/langgraph_server_changelog.md": "https://docs.langchain.com/langsmith/langgraph-server-changelog",
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-    "concepts/langgraph_components.md": "https://docs.langchain.com/langsmith/components",
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-    "concepts/langgraph_data_plane.md": "https://docs.langchain.com/langsmith/data-plane",
-    "concepts/langgraph_platform.md": "https://docs.langchain.com/langsmith/home",
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-    "concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/hosting",
-    "concepts/langgraph_server.md": "https://docs.langchain.com/langsmith/langgraph-server",
-    "concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langsmith/docker",
-    "concepts/langgraph_studio.md": "https://docs.langchain.com/langsmith/studio",
-    "concepts/plans.md": "https://docs.langchain.com/langsmith/home",
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-    "concepts/sdk.md": "https://docs.langchain.com/langsmith/sdk",
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-    "examples/index.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
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-    "how-tos/auth/openapi_security.md": "https://docs.langchain.com/langsmith/openapi-security",
-    "how-tos/autogen-integration.md": "https://docs.langchain.com/langsmith/autogen-integration",
-    "how-tos/http/custom_lifespan.md": "https://docs.langchain.com/langsmith/custom-lifespan",
-    "how-tos/http/custom_middleware.md": "https://docs.langchain.com/langsmith/custom-middleware",
-    "how-tos/http/custom_routes.md": "https://docs.langchain.com/langsmith/custom-routes",
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-    "index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "snippets/chat_model_tabs.md": "https://docs.langchain.com/oss/python/langchain/overview",
-    "troubleshooting/errors/GRAPH_RECURSION_LIMIT.md": "https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT",
-    "troubleshooting/errors/index.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
-    "troubleshooting/errors/INVALID_CHAT_HISTORY.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
-    "troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CONCURRENT_GRAPH_UPDATE",
-    "troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_GRAPH_NODE_RETURN_VALUE",
-    "troubleshooting/errors/INVALID_LICENSE.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
-    "troubleshooting/errors/MULTIPLE_SUBGRAPHS.md": "https://docs.langchain.com/oss/python/langgraph/MULTIPLE_SUBGRAPHS",
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-    "tutorials/auth/add_auth_server.md": "https://docs.langchain.com/langsmith/add-auth-server",
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-    "agents/agents.md": "https://docs.langchain.com/oss/python/langchain/agents",
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-    "tutorials/langsmith/local-server.md": "https://docs.langchain.com/oss/python/langgraph/local-server",
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-    "agents/overview.md": "https://docs.langchain.com/oss/python/langchain/agents",
-    "concepts/agentic_concepts.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "agents/run_agents.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
-    "concepts/low_level.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "how-tos/graph-api.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "concepts/functional_api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
-    "how-tos/use-functional-api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
-    "concepts/pregel.md": "https://docs.langchain.com/oss/python/langgraph/pregel",
-    "concepts/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "how-tos/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
-    "concepts/persistence.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
-    "concepts/durable_execution.md": "https://docs.langchain.com/oss/python/langgraph/durable-execution",
-    "concepts/memory.md": "https://docs.langchain.com/oss/python/langgraph/memory",
-    "how-tos/memory/add-memory.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "agents/context.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-    "agents/models.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "concepts/tools.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "how-tos/tool-calling.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "concepts/human_in_the_loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "how-tos/human_in_the_loop/add-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
-    "concepts/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
-    "how-tos/human_in_the_loop/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
-    "concepts/subgraphs.md": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
-    "how-tos/subgraph.md": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
-    "concepts/multi_agent.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "agents/multi-agent.md": "https://docs.langchain.com/oss/python/langchain/multi-agent",
-    "how-tos/multi_agent.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
-    "concepts/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "agents/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "concepts/tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
-    "how-tos/enable-tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
-    "agents/evals.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "examples/index.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
-    "concepts/template_applications.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "tutorials/rag/langgraph_agentic_rag.md": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
-    "tutorials/multi_agent/agent_supervisor.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-    "tutorials/sql/sql-agent.md": "https://docs.langchain.com/oss/python/langgraph/sql-agent",
-    "agents/ui.md": "https://docs.langchain.com/oss/python/langgraph/ui",
-    "how-tos/run-id-langsmith.md": "https://docs.langchain.com/oss/python/langgraph/observability",
-    "troubleshooting/errors/index.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
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-    "troubleshooting/errors/INVALID_CHAT_HISTORY.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
-    "troubleshooting/errors/INVALID_LICENSE.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
-    "adopters.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
-    "concepts/faq.md": "https://docs.langchain.com/oss/python/langgraph/overview",
-    "agents/prebuilt.md": "https://docs.langchain.com/oss/python/langchain/agents",
+    "tutorials/auth/getting_started.md": "https://docs.langchain.com/langgraph-platform/auth",
+    "tutorials/auth/resource_auth.md": "https://docs.langchain.com/langgraph-platform/resource-auth",
+    "tutorials/auth/add_auth_server.md": "https://docs.langchain.com/langgraph-platform/add-auth-server",
+    "how-tos/use-remote-graph.md": "https://docs.langchain.com/langgraph-platform/use-remote-graph",
+    "how-tos/autogen-integration.md": "https://docs.langchain.com/langgraph-platform/autogen-integration",
+    "cloud/how-tos/use_stream_react.md": "https://docs.langchain.com/langgraph-platform/use-stream-react",
+    "cloud/how-tos/generative_ui_react.md": "https://docs.langchain.com/langgraph-platform/generative-ui-react",
+    "concepts/langgraph_platform.md": "https://docs.langchain.com/langgraph-platform/index",
+    "concepts/langgraph_components.md": "https://docs.langchain.com/langgraph-platform/components",
+    "concepts/langgraph_server.md": "https://docs.langchain.com/langgraph-platform/langgraph-server",
+    "concepts/langgraph_data_plane.md": "https://docs.langchain.com/langgraph-platform/data-plane",
+    "concepts/langgraph_control_plane.md": "https://docs.langchain.com/langgraph-platform/control-plane",
+    "concepts/langgraph_cli.md": "https://docs.langchain.com/langgraph-platform/langgraph-cli",
+    "concepts/langgraph_studio.md": "https://docs.langchain.com/langgraph-platform/langgraph-studio",
+    "cloud/how-tos/studio/quick_start.md": "https://docs.langchain.com/langgraph-platform/quick-start-studio",
+    "cloud/how-tos/invoke_studio.md": "https://docs.langchain.com/langgraph-platform/invoke-studio",
+    "cloud/how-tos/studio/manage_assistants.md": "https://docs.langchain.com/langgraph-platform/manage-assistants-studio",
+    "cloud/how-tos/threads_studio.md": "https://docs.langchain.com/langgraph-platform/threads-studio",
+    "cloud/how-tos/iterate_graph_studio.md": "https://docs.langchain.com/langgraph-platform/iterate-graph-studio",
+    "cloud/how-tos/studio/run_evals.md": "https://docs.langchain.com/langgraph-platform/run-evals-studio",
+    "cloud/how-tos/clone_traces_studio.md": "https://docs.langchain.com/langgraph-platform/clone-traces-studio",
+    "cloud/how-tos/datasets_studio.md": "https://docs.langchain.com/langgraph-platform/datasets-studio",
+    "concepts/sdk.md": "https://docs.langchain.com/langgraph-platform/sdk",
+    "concepts/plans.md": "https://docs.langchain.com/langgraph-platform/plans",
+    "concepts/application_structure.md": "https://docs.langchain.com/langgraph-platform/application-structure",
+    "concepts/scalability_and_resilience.md": "https://docs.langchain.com/langgraph-platform/scalability-and-resilience",
+    "concepts/auth.md": "https://docs.langchain.com/langgraph-platform/auth",
+    "how-tos/auth/custom_auth.md": "https://docs.langchain.com/langgraph-platform/custom-auth",
+    "how-tos/auth/openapi_security.md": "https://docs.langchain.com/langgraph-platform/openapi-security",
+    "concepts/assistants.md": "https://docs.langchain.com/langgraph-platform/assistants",
+    "cloud/how-tos/configuration_cloud.md": "https://docs.langchain.com/langgraph-platform/configuration-cloud",
+    "cloud/how-tos/use_threads.md": "https://docs.langchain.com/langgraph-platform/use-threads",
+    "cloud/how-tos/background_run.md": "https://docs.langchain.com/langgraph-platform/background-run",
+    "cloud/how-tos/same-thread.md": "https://docs.langchain.com/langgraph-platform/same-thread",
+    "cloud/how-tos/stateless_runs.md": "https://docs.langchain.com/langgraph-platform/stateless-runs",
+    "cloud/how-tos/configurable_headers.md": "https://docs.langchain.com/langgraph-platform/configurable-headers",
+    "concepts/double_texting.md": "https://docs.langchain.com/langgraph-platform/double-texting",
+    "cloud/how-tos/interrupt_concurrent.md": "https://docs.langchain.com/langgraph-platform/interrupt-concurrent",
+    "cloud/how-tos/rollback_concurrent.md": "https://docs.langchain.com/langgraph-platform/rollback-concurrent",
+    "cloud/how-tos/reject_concurrent.md": "https://docs.langchain.com/langgraph-platform/reject-concurrent",
+    "cloud/how-tos/enqueue_concurrent.md": "https://docs.langchain.com/langgraph-platform/enqueue-concurrent",
+    "cloud/concepts/webhooks.md": "https://docs.langchain.com/langgraph-platform/use-webhooks",
+    "cloud/how-tos/webhooks.md": "https://docs.langchain.com/langgraph-platform/use-webhooks",
+    "cloud/concepts/cron_jobs.md": "https://docs.langchain.com/langgraph-platform/cron-jobs",
+    "cloud/how-tos/cron_jobs.md": "https://docs.langchain.com/langgraph-platform/cron-jobs",
+    "how-tos/http/custom_lifespan.md": "https://docs.langchain.com/langgraph-platform/custom-lifespan",
+    "how-tos/http/custom_middleware.md": "https://docs.langchain.com/langgraph-platform/custom-middleware",
+    "how-tos/http/custom_routes.md": "https://docs.langchain.com/langgraph-platform/custom-routes",
+    "cloud/concepts/data_storage_and_privacy.md": "https://docs.langchain.com/langgraph-platform/data-storage-and-privacy",
+    "cloud/deployment/semantic_search.md": "https://docs.langchain.com/langgraph-platform/semantic-search",
+    "how-tos/ttl/configure_ttl.md": "https://docs.langchain.com/langgraph-platform/configure-ttl",
+    "concepts/deployment_options.md": "https://docs.langchain.com/langgraph-platform/deployment-options",
+    "cloud/quick_start.md": "https://docs.langchain.com/langgraph-platform/deployment-quickstart",
+    "cloud/deployment/setup.md": "https://docs.langchain.com/langgraph-platform/setup-app-requirements-txt",
+    "cloud/deployment/setup_pyproject.md": "https://docs.langchain.com/langgraph-platform/setup-pyproject",
+    "cloud/deployment/setup_javascript.md": "https://docs.langchain.com/langgraph-platform/setup-javascript",
+    "cloud/deployment/custom_docker.md": "https://docs.langchain.com/langgraph-platform/custom-docker",
+    "cloud/deployment/graph_rebuild.md": "https://docs.langchain.com/langgraph-platform/graph-rebuild",
+    "concepts/langgraph_cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
+    "concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/hybrid",
+    "concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted",
+    "concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#standalone-server",
+    "cloud/deployment/cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
+    "cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-hybrid",
+    "cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-full-platform",
+    "cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-standalone-server",
+    "concepts/server-mcp.md": "https://docs.langchain.com/langgraph-platform/server-mcp",
+    "cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langgraph-platform/human-in-the-loop-time-travel",
+    "cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langgraph-platform/add-human-in-the-loop",
+    "cloud/deployment/egress.md": "https://docs.langchain.com/langgraph-platform/env-var",
+    "cloud/how-tos/streaming.md": "https://docs.langchain.com/langgraph-platform/streaming",
+    "cloud/reference/api/api_ref.md": "https://docs.langchain.com/langgraph-platform/server-api-ref",
+    "cloud/reference/langgraph_server_changelog.md": "https://docs.langchain.com/langgraph-platform/langgraph-server-changelog",
+    "cloud/reference/api/api_ref_control_plane.md": "https://docs.langchain.com/langgraph-platform/api-ref-control-plane",
+    "cloud/reference/cli.md": "https://docs.langchain.com/langgraph-platform/cli",
+    "cloud/reference/env_var.md": "https://docs.langchain.com/langgraph-platform/env-var",
+    "troubleshooting/studio.md": "https://docs.langchain.com/langgraph-platform/troubleshooting-studio",
 }
 
 
@@ -788,16 +560,10 @@ def on_post_page(html: str, page: Page, config: MkDocsConfig) -> str:
 # Create HTML files for redirects after site dir has been built
 def on_post_build(config):
     use_directory_urls = config.get("use_directory_urls")
-    site_dir = config["site_dir"]
-
-    # Track which paths have explicit redirects
-    redirected_paths = set()
-
-    # Process explicit redirects from REDIRECT_MAP
     for page_old, page_new in REDIRECT_MAP.items():
         # Convert .ipynb to .md for path calculation
         page_old = page_old.replace(".ipynb", ".md")
-
+        
         # Calculate the HTML path for the old page (whether it exists or not)
         if use_directory_urls:
             # With directory URLs: /path/to/page/ becomes /path/to/page/index.html
@@ -811,18 +577,15 @@ def on_post_build(config):
                 old_html_path = page_old[:-3] + ".html"
             else:
                 old_html_path = page_old + ".html"
-
-        # Track this path as redirected
-        redirected_paths.add(old_html_path)
-
+        
         if isinstance(page_new, str) and page_new.startswith("http"):
             # Handle external redirects
-            _write_html(site_dir, old_html_path, page_new)
+            _write_html(config["site_dir"], old_html_path, page_new)
         else:
             # Handle internal redirects
             page_new = page_new.replace(".ipynb", ".md")
             page_new_before_hash, hash, suffix = page_new.partition("#")
-
+            
             # Try to get the new path using File class, but fallback to manual calculation
             try:
                 new_html_path = File(page_new_before_hash, "", "", True).url
@@ -844,70 +607,5 @@ def on_post_build(config):
                     else:
                         new_html_path = page_new_before_hash + ".html"
                 new_html_path += hash + suffix
-
-            _write_html(site_dir, old_html_path, new_html_path)
-
-    # Create root index.html redirect
-    root_redirect_html = """<!doctype html>
-<html lang="en">
-<head>
-    <meta charset="utf-8">
-    <title>Redirecting to LangGraph Documentation</title>
-    <link rel="canonical" href="https://docs.langchain.com/oss/python/langgraph/overview">
-    <meta name="robots" content="noindex">
-    <script>var anchor=window.location.hash.substr(1);location.href="https://docs.langchain.com/oss/python/langgraph/overview"+(anchor?"#"+anchor:"")</script>
-    <meta http-equiv="refresh" content="0; url=https://docs.langchain.com/oss/python/langgraph/overview">
-</head>
-<body>
-<h1>Documentation has moved</h1>
-<p>The LangGraph documentation has moved to <a href="https://docs.langchain.com/oss/python/langgraph/overview">docs.langchain.com</a>.</p>
-<p>Redirecting you now...</p>
-</body>
-</html>
-"""
-
-    root_index_path = os.path.join(site_dir, "index.html")
-    with open(root_index_path, "w", encoding="utf-8") as f:
-        f.write(root_redirect_html)
-
-    # Create 404.html for GitHub Pages catch-all redirect
-    # GitHub Pages will serve this for any unmapped URLs
-    notfound_redirect_html = """<!doctype html>
-<html lang="en">
-<head>
-    <meta charset="utf-8">
-    <title>Redirecting to LangGraph Documentation</title>
-    <link rel="canonical" href="https://docs.langchain.com/oss/python/langgraph/overview">
-    <meta name="robots" content="noindex">
-    <script>
-        // Redirect to new docs site
-        window.location.href = "https://docs.langchain.com/oss/python/langgraph/overview";
-    </script>
-    <meta http-equiv="refresh" content="0; url=https://docs.langchain.com/oss/python/langgraph/overview">
-</head>
-<body>
-<h1>Page Not Found</h1>
-<p>This page has moved to the new LangGraph documentation at <a href="https://docs.langchain.com/oss/python/langgraph/overview">docs.langchain.com</a>.</p>
-<p>Redirecting you now...</p>
-</body>
-</html>
-"""
-
-    notfound_path = os.path.join(site_dir, "404.html")
-    with open(notfound_path, "w", encoding="utf-8") as f:
-        f.write(notfound_redirect_html)
-
-    # Create server-side catch-all redirect file for Netlify/Cloudflare Pages
-    # This handles any pages not explicitly mapped in REDIRECT_MAP
-    # Note: This won't work on GitHub Pages, but kept for potential future use
-    redirects_content = """# Netlify/Cloudflare Pages redirect rules
-# Specific redirects are handled by individual HTML redirect pages
-# This is the catch-all for any unmapped pages
-
-# Catch-all: redirect any page not explicitly mapped
-/*  https://docs.langchain.com/oss/python/langgraph/overview  301
-"""
-
-    redirects_path = os.path.join(site_dir, "_redirects")
-    with open(redirects_path, "w", encoding="utf-8") as f:
-        f.write(redirects_content)
+            
+            _write_html(config["site_dir"], old_html_path, new_html_path)

docs/_scripts/third_party_page/get_download_stats.py

@@ -20,19 +20,16 @@ class Package(TypedDict):
     description: str
     """A brief description of what the package does."""
 
-
 class ResolvedPackage(Package):
     weekly_downloads: int | None
     """The weekly download count of the package."""
     language: str
     """The language of the package. (either 'python' or 'js')"""
 
-
 HERE = pathlib.Path(__file__).parent
 PACKAGES_FILE = HERE / "packages.yml"
 PACKAGES = yaml.safe_load(PACKAGES_FILE.read_text())["packages"]
 
-
 def _get_pypi_downloads(package: Package) -> int:
     """Retrieve the weekly download count for a package from PyPIStats."""
 
@@ -75,8 +72,7 @@ def _get_pypi_downloads(package: Package) -> int:
         return sum(entry["downloads"] for entry in sorted_data[:7])
     else:
         return None
-
-
+    
 def _get_npm_downloads(package: Package) -> int:
     """Retrieve the weekly download count for a package on the npm registry."""
 
@@ -86,18 +82,14 @@ def _get_npm_downloads(package: Package) -> int:
         npm_response = requests.get(npm_url)
         npm_response.raise_for_status()
     except requests.exceptions.HTTPError:
-        raise AssertionError(
-            f"Package {package['name']} does not exist on npm registry"
-        )
+        raise AssertionError(f"Package {package['name']} does not exist on npm registry")
 
     npm_data = npm_response.json()
 
     # Retrieve the first publish date using the 'created' timestamp from the 'time' field.
     created_str = npm_data.get("time", {}).get("created")
     if created_str is None:
-        raise AssertionError(
-            f"Package {package['name']} has no creation time in registry data"
-        )
+        raise AssertionError(f"Package {package['name']} has no creation time in registry data")
     # Remove the trailing 'Z' if present and parse the ISO format timestamp
     first_publish_date = datetime.fromisoformat(created_str.rstrip("Z"))
 
@@ -111,10 +103,7 @@ def _get_npm_downloads(package: Package) -> int:
     else:
         return None
 
-
-def _get_weekly_downloads(
-    packages: dict[str, list[Package]], fake: bool
-) -> list[ResolvedPackage]:
+def _get_weekly_downloads(packages: dict[str, list[Package]], fake: bool) -> list[ResolvedPackage]:
     """Retrieve the weekly download count for a dictionary of python or js packages."""
     resolved_packages: list[ResolvedPackage] = []
 
@@ -142,7 +131,7 @@ def _get_weekly_downloads(
                 num_downloads = _get_npm_downloads(package)
             else:
                 num_downloads = None
-
+            
             resolved_packages.append(
                 {
                     "name": package["name"],
@@ -156,13 +145,12 @@ def _get_weekly_downloads(
 
     return resolved_packages
 
-
 def main(output_file: str, fake: bool) -> None:
     """Main function to generate package download information.
 
     Args:
         output_file: Path to the output YAML file.
-        fake: If `True`, use fake download counts for testing purposes.
+        fake: If True, use fake download counts for testing purposes.
     """
     resolved_packages: list[ResolvedPackage] = _get_weekly_downloads(PACKAGES, fake)
 

docs/docs/agents/context.md

@@ -33,7 +33,7 @@ LangGraph provides three ways to manage context, which combines the mutability a
 
 **Static runtime context** represents immutable data like user metadata, tools, and database connections that are passed to an application at the start of a run via the `context` argument to `invoke`/`stream`. This data does not change during execution.
 
-!!! version-added "Added in version 0.6.0: `context` replaces `config['configurable']`"
+!!! version-added "New in LangGraph v0.6: `context` replaces `config['configurable']`"
 
     Runtime context is now passed to the `context` argument of `invoke`/`stream`,
     which replaces the previous pattern of passing application configuration to `config['configurable']`.

docs/docs/agents/models.md

@@ -211,7 +211,7 @@ output = agent.invoke(
 print(output["messages"][-1].text())
 ```
 
-!!! version-added "Added in version 0.6.0"
+!!! version-added "New in LangGraph v0.6"
 
 :::
 
@@ -351,13 +351,11 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
 :::python
 
 1. **Implement a custom LangChain chat model**: Create a model conforming to the [LangChain chat model interface](https://python.langchain.com/docs/how_to/custom_chat_model/). This enables full compatibility with LangGraph's agents and workflows but requires understanding of the LangChain framework.
-
    :::
 
 :::js
 
 1. **Implement a custom LangChain chat model**: Create a model conforming to the [LangChain chat model interface](https://js.langchain.com/docs/how_to/custom_chat/). This enables full compatibility with LangGraph's agents and workflows but requires understanding of the LangChain framework.
-
    :::
 
 2. **Direct invocation with custom streaming**: Use your model directly by [adding custom streaming logic](../how-tos/streaming.md#use-with-any-llm) with `StreamWriter`.
@@ -373,7 +371,6 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
 - [Force model to call a specific tool](https://python.langchain.com/docs/how_to/tool_choice/)
 - [All chat model how-to guides](https://python.langchain.com/docs/how_to/#chat-models)
 - [Chat model integrations](https://python.langchain.com/docs/integrations/chat/)
-
   :::
 
 :::js
@@ -384,5 +381,4 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
 - [Force model to call a specific tool](https://js.langchain.com/docs/how_to/tool_choice/)
 - [All chat model how-to guides](https://js.langchain.com/docs/how_to/#chat-models)
 - [Chat model integrations](https://js.langchain.com/docs/integrations/chat/)
-
   :::

docs/docs/cloud/reference/api/openapi.json

@@ -1,7 +1,7 @@
 {
   "openapi": "3.1.0",
   "info": {
-    "title": "LangSmith Deployment",
+    "title": "LangGraph Platform",
     "version": "0.1.0"
   },
   "tags": [

docs/docs/concepts/durable_execution.md

@@ -21,16 +21,12 @@ To leverage durable execution in LangGraph, you need to:
 1. Enable [persistence](./persistence.md) in your workflow by specifying a [checkpointer](./persistence.md#checkpointer-libraries) that will save workflow progress.
 2. Specify a [thread identifier](./persistence.md#threads) when executing a workflow. This will track the execution history for a particular instance of the workflow.
 
-:::python
-
+:::python 
 3. Wrap any non-deterministic operations (e.g., random number generation) or operations with side effects (e.g., file writes, API calls) inside @[tasks][task] to ensure that when a workflow is resumed, these operations are not repeated for the particular run, and instead their results are retrieved from the persistence layer. For more information, see [Determinism and Consistent Replay](#determinism-and-consistent-replay).
-
 :::
 
-:::js
-
+:::js 
 3. Wrap any non-deterministic operations (e.g., random number generation) or operations with side effects (e.g., file writes, API calls) inside @[tasks][task] to ensure that when a workflow is resumed, these operations are not repeated for the particular run, and instead their results are retrieved from the persistence layer. For more information, see [Determinism and Consistent Replay](#determinism-and-consistent-replay).
-
 :::
 
 ## Determinism and Consistent Replay
@@ -65,7 +61,7 @@ LangGraph supports three durability modes that allow you to balance performance
 
 A higher durability mode add more overhead to the workflow execution.
 
-!!! version-added "Added in version 0.6.0"
+!!! version-added "Added in v0.6.0"
 
     Use the `durability` parameter instead of `checkpoint_during` (deprecated in v0.6.0) for persistence policy management:
     
@@ -77,16 +73,14 @@ A higher durability mode add more overhead to the workflow execution.
     * `checkpoint_during=True` -> `durability="async"`
     * `checkpoint_during=False` -> `durability="exit"`
 
-### `"exit"`
 
+### `"exit"`
 Changes are persisted only when graph execution completes (either successfully or with an error). This provides the best performance for long-running graphs but means intermediate state is not saved, so you cannot recover from mid-execution failures or interrupt the graph execution.
 
 ### `"async"`
-
 Changes are persisted asynchronously while the next step executes. This provides good performance and durability, but there's a small risk that checkpoints might not be written if the process crashes during execution.
 
 ### `"sync"`
-
 Changes are persisted synchronously before the next step starts. This ensures that every checkpoint is written before continuing execution, providing high durability at the cost of some performance overhead.
 
 You can specify the durability mode when calling any graph execution method:
@@ -316,14 +310,12 @@ Once you have enabled durable execution in your workflow, you can resume executi
 
 - **Pausing and Resuming Workflows:** Use the @[interrupt][interrupt] function to pause a workflow at specific points and the @[Command] primitive to resume it with updated state. See [**Human-in-the-Loop**](./human_in_the_loop.md) for more details.
 - **Recovering from Failures:** Automatically resume workflows from the last successful checkpoint after an exception (e.g., LLM provider outage). This involves executing the workflow with the same thread identifier by providing it with a `None` as the input value (see this [example](../how-tos/use-functional-api.md#resuming-after-an-error) with the functional API).
-
   :::
 
 :::js
 
 - **Pausing and Resuming Workflows:** Use the @[interrupt][interrupt] function to pause a workflow at specific points and the @[Command] primitive to resume it with updated state. See [**Human-in-the-Loop**](./human_in_the_loop.md) for more details.
 - **Recovering from Failures:** Automatically resume workflows from the last successful checkpoint after an exception (e.g., LLM provider outage). This involves executing the workflow with the same thread identifier by providing it with a `null` as the input value (see this [example](../how-tos/use-functional-api.md#resuming-after-an-error) with the functional API).
-
   :::
 
 ## Starting Points for Resuming Workflows
@@ -334,7 +326,6 @@ Once you have enabled durable execution in your workflow, you can resume executi
 - If you're making a subgraph call inside a node, the starting point will be the **parent** node that called the subgraph that was halted.
   Inside the subgraph, the starting point will be the specific [**node**](./low_level.md#nodes) where execution stopped.
 - If you're using the Functional API, the starting point is the beginning of the [**entrypoint**](./functional_api.md#entrypoint) where execution stopped.
-
   :::
 
 :::js
@@ -343,5 +334,4 @@ Once you have enabled durable execution in your workflow, you can resume executi
 - If you're making a subgraph call inside a node, the starting point will be the **parent** node that called the subgraph that was halted.
   Inside the subgraph, the starting point will be the specific [**node**](./low_level.md#nodes) where execution stopped.
 - If you're using the Functional API, the starting point is the beginning of the [**entrypoint**](./functional_api.md#entrypoint) where execution stopped.
-
   :::

docs/docs/how-tos/tool-calling.md

@@ -244,7 +244,7 @@ output = agent.invoke(
 print(output["messages"][-1].text())
 ```
 
-!!! version-added "Added in version 0.6.0"
+!!! version-added "New in langgraph>=0.6"
 
 :::
 

docs/docs/reference/cache.md

@@ -2,4 +2,4 @@
 
 ::: langgraph.cache.base
 ::: langgraph.cache.memory
-::: langgraph.cache.sqlite
+::: langgraph.cache.sqlite

docs/docs/tutorials/auth/getting_started.md

@@ -68,7 +68,7 @@ The server will start and open the studio in your browser:
 > - 📚 API Docs: http://127.0.0.1:2024/docs
 >
 > This in-memory server is designed for development and testing.
-> For production use, please use LangSmith Deployment.
+> For production use, please use LangGraph Platform.
 ```
 
 If you were to self-host this on the public internet, anyone could access it!

docs/docs/tutorials/langgraph-platform/local-server.md

@@ -294,9 +294,9 @@ Now that you have a LangGraph app running locally, take your journey further by
 :::python
 
 - [Python SDK Reference](../../cloud/reference/sdk/python_sdk_ref.md): Explore the Python SDK API Reference.
-:::
+  :::
 
 :::js
 
 - [JS/TS SDK Reference](../../cloud/reference/sdk/js_ts_sdk_ref.md): Explore the JS/TS SDK API Reference.
-:::
+  :::

docs/mkdocs.yml

@@ -149,67 +149,6 @@ plugins:
         - tutorials/auth/add_auth_server.md
         - tutorials/auth/getting_started.md
         - tutorials/auth/resource_auth.md
-        - agents/agents.md
-        - concepts/why-langgraph.md
-        - tutorials/get-started/1-build-basic-chatbot.md
-        - tutorials/get-started/2-add-tools.md
-        - tutorials/get-started/3-add-memory.md
-        - tutorials/get-started/4-human-in-the-loop.md
-        - tutorials/get-started/5-customize-state.md
-        - tutorials/get-started/6-time-travel.md
-        - tutorials/langgraph-platform/local-server.md
-        - tutorials/workflows.md
-        - concepts/agentic_concepts.md
-        - guides/index.md
-        - agents/overview.md
-        - agents/run_agents.md
-        - concepts/low_level.md
-        - how-tos/graph-api.md
-        - concepts/functional_api.md
-        - how-tos/use-functional-api.md
-        - concepts/pregel.md
-        - concepts/streaming.md
-        - how-tos/streaming.md
-        - concepts/persistence.md
-        - concepts/durable_execution.md
-        - concepts/memory.md
-        - how-tos/memory/add-memory.md
-        - agents/context.md
-        - agents/models.md
-        - concepts/tools.md
-        - how-tos/tool-calling.md
-        - concepts/human_in_the_loop.md
-        - how-tos/human_in_the_loop/add-human-in-the-loop.md
-        - concepts/time-travel.md
-        - how-tos/human_in_the_loop/time-travel.md
-        - concepts/subgraphs.md
-        - how-tos/subgraph.md
-        - concepts/multi_agent.md
-        - agents/multi-agent.md
-        - how-tos/multi_agent.md
-        - concepts/mcp.md
-        - agents/mcp.md
-        - concepts/tracing.md
-        - how-tos/enable-tracing.md
-        - agents/evals.md
-        - examples/index.md
-        - concepts/template_applications.md  # TODO: make tutorial
-        - tutorials/rag/langgraph_agentic_rag.md
-        - tutorials/multi_agent/agent_supervisor.md
-        - tutorials/sql/sql-agent.md
-        - agents/ui.md
-        - how-tos/run-id-langsmith.md
-        - troubleshooting/errors/index.md
-        - troubleshooting/errors/GRAPH_RECURSION_LIMIT.md
-        - troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md
-        - troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md
-        - troubleshooting/errors/MULTIPLE_SUBGRAPHS.md
-        - troubleshooting/errors/INVALID_CHAT_HISTORY.md
-        - troubleshooting/errors/INVALID_LICENSE.md
-        - adopters.md
-        - concepts/faq.md
-        - agents/prebuilt.md # NOTE: prebuilt.md is auto-generated by `make build-prebuilt`
-
   - tags
   - include-markdown
   - mkdocstrings:
@@ -247,6 +186,75 @@ plugins:
                 - "!^_"
 
 nav:
+  - Get started:
+    - index.md
+    - Quickstarts:
+      - Start with a prebuilt agent: agents/agents.md
+      - Build a custom workflow:
+          -  concepts/why-langgraph.md
+          -  1. Build a basic chatbot: tutorials/get-started/1-build-basic-chatbot.md
+          -  2. Add tools: tutorials/get-started/2-add-tools.md
+          -  3. Add memory: tutorials/get-started/3-add-memory.md
+          -  4. Add human-in-the-loop: tutorials/get-started/4-human-in-the-loop.md
+          -  5. Customize state: tutorials/get-started/5-customize-state.md
+          -  6. Time travel: tutorials/get-started/6-time-travel.md
+      - Run a local server: tutorials/langgraph-platform/local-server.md
+    - General concepts:
+      - Workflows & agents: tutorials/workflows.md
+      - Agent architectures: concepts/agentic_concepts.md
+
+  - Guides:
+    - guides/index.md
+    - Agent development:
+      - Overview: agents/overview.md
+      - Run an agent: agents/run_agents.md
+    - LangGraph APIs:
+      - Graph API:
+          - Overview: concepts/low_level.md
+          - Use the Graph API: how-tos/graph-api.md
+      - Functional API:
+          - Overview: concepts/functional_api.md
+          - Use the Functional API: how-tos/use-functional-api.md
+      - Runtime: concepts/pregel.md
+    - Core capabilities:
+      - Streaming:
+          - Overview: concepts/streaming.md
+          - Stream outputs: how-tos/streaming.md
+      - Persistence:
+          - Overview: concepts/persistence.md
+      - Durable execution:
+          - Overview: concepts/durable_execution.md
+      - Memory:
+          - Overview: concepts/memory.md
+          - Add memory: how-tos/memory/add-memory.md
+      - Context:
+          - Add context: agents/context.md
+      - Models:
+          - Configure model: agents/models.md
+      - Tools:
+          - Overview: concepts/tools.md
+          - Call tools: how-tos/tool-calling.md
+      - Human-in-the-loop:
+          - Overview: concepts/human_in_the_loop.md
+          - Add human intervention: how-tos/human_in_the_loop/add-human-in-the-loop.md
+      - Time travel:
+          - Overview: concepts/time-travel.md
+          - Use time travel: how-tos/human_in_the_loop/time-travel.md
+      - Subgraphs:
+          - Overview: concepts/subgraphs.md
+          - Use subgraphs: how-tos/subgraph.md
+      - Multi-agent:
+          - Overview: concepts/multi_agent.md
+          - Prebuilt implementation: agents/multi-agent.md
+          - Custom implementation: how-tos/multi_agent.md
+      - MCP:
+          - Overview: concepts/mcp.md
+          - Use MCP: agents/mcp.md
+      - Tracing:
+          - Overview: concepts/tracing.md
+          - Enable tracing: how-tos/enable-tracing.md
+          - Evaluate performance: agents/evals.md
+
   - Reference:
     - reference/index.md
     - LangGraph:
@@ -270,7 +278,35 @@ nav:
     - LangGraph Platform:
       - SDK (Python): cloud/reference/sdk/python_sdk_ref.md
       - SDK (JS/TS): https://langchain-ai.github.io/langgraphjs/reference/modules/sdk.html
-      - RemoteGraph: reference/remote_graph.md 
+      - RemoteGraph: reference/remote_graph.md
+
+  - Examples:
+    - examples/index.md
+    - Template applications: concepts/template_applications.md  # TODO: make tutorial
+    - Agentic RAG: tutorials/rag/langgraph_agentic_rag.md
+    - Agent Supervisor: tutorials/multi_agent/agent_supervisor.md
+    - SQL agent: tutorials/sql/sql-agent.md
+    - Prebuilt chat UI: agents/ui.md
+    - Graph runs in LangSmith: how-tos/run-id-langsmith.md
+
+  - Additional resources:
+    - additional-resources/index.md
+    - agents/prebuilt.md # NOTE: prebuilt.md is auto-generated by `make build-prebuilt`
+    - LangGraph Academy course: https://academy.langchain.com/courses/intro-to-langgraph
+    - Case studies: adopters.md
+    - concepts/faq.md
+    - llms.txt: llms-txt-overview.md
+    - LangChain Forum: https://forum.langchain.com/
+    - Troubleshooting:
+        - Errors:
+          - troubleshooting/errors/index.md
+          - troubleshooting/errors/GRAPH_RECURSION_LIMIT.md
+          - troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md
+          - troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md
+          - troubleshooting/errors/MULTIPLE_SUBGRAPHS.md
+          - troubleshooting/errors/INVALID_CHAT_HISTORY.md
+          - troubleshooting/errors/INVALID_LICENSE.md
+    
 
 markdown_extensions:
   - abbr

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

@@ -14,7 +14,7 @@ from langgraph.checkpoint.base import (
     CheckpointMetadata,
     CheckpointTuple,
     get_checkpoint_id,
-    get_serializable_checkpoint_metadata,
+    get_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.base import SerializerProtocol
 from psycopg import Capabilities, Connection, Cursor, Pipeline
@@ -94,7 +94,6 @@ class PostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
-                strict=False,
             ):
                 cur.execute(migration)
                 cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
@@ -116,12 +115,12 @@ class PostgresSaver(BasePostgresSaver):
 
         Args:
             config: The config to use for listing the checkpoints.
-            filter: Additional filtering criteria for metadata.
-            before: If provided, only checkpoints before the specified checkpoint ID are returned.
-            limit: The maximum number of checkpoints to return.
+            filter: Additional filtering criteria for metadata. Defaults to None.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
+            limit: The maximum number of checkpoints to return. Defaults to None.
 
         Yields:
-            An iterator of checkpoint tuples.
+            Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
 
         Examples:
             >>> from langgraph.checkpoint.postgres import PostgresSaver
@@ -183,7 +182,7 @@ class PostgresSaver(BasePostgresSaver):
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
-        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
+        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
         the matching thread ID and timestamp is retrieved. Otherwise, the latest checkpoint
         for the given thread ID is retrieved.
 
@@ -191,7 +190,7 @@ class PostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
 
         Examples:
 
@@ -326,7 +325,7 @@ class PostgresSaver(BasePostgresSaver):
                     checkpoint["id"],
                     checkpoint_id,
                     Jsonb(copy),
-                    Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
+                    Jsonb(get_checkpoint_metadata(config, metadata)),
                 ),
             )
         return next_config

libs/checkpoint-postgres/langgraph/checkpoint/postgres/_ainternal.py

@@ -2,12 +2,13 @@
 
 from collections.abc import AsyncIterator
 from contextlib import asynccontextmanager
+from typing import Union
 
 from psycopg import AsyncConnection
 from psycopg.rows import DictRow
 from psycopg_pool import AsyncConnectionPool
 
-Conn = AsyncConnection[DictRow] | AsyncConnectionPool[AsyncConnection[DictRow]]
+Conn = Union[AsyncConnection[DictRow], AsyncConnectionPool[AsyncConnection[DictRow]]]
 
 
 @asynccontextmanager

libs/checkpoint-postgres/langgraph/checkpoint/postgres/_internal.py

@@ -2,12 +2,13 @@
 
 from collections.abc import Iterator
 from contextlib import contextmanager
+from typing import Union
 
 from psycopg import Connection
 from psycopg.rows import DictRow
 from psycopg_pool import ConnectionPool
 
-Conn = Connection[DictRow] | ConnectionPool[Connection[DictRow]]
+Conn = Union[Connection[DictRow], ConnectionPool[Connection[DictRow]]]
 
 
 @contextmanager

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

@@ -14,7 +14,7 @@ from langgraph.checkpoint.base import (
     CheckpointMetadata,
     CheckpointTuple,
     get_checkpoint_id,
-    get_serializable_checkpoint_metadata,
+    get_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.base import SerializerProtocol
 from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
@@ -99,7 +99,6 @@ class AsyncPostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
-                strict=False,
             ):
                 await cur.execute(migration)
                 await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
@@ -122,11 +121,11 @@ class AsyncPostgresSaver(BasePostgresSaver):
         Args:
             config: Base configuration for filtering checkpoints.
             filter: Additional filtering criteria for metadata.
-            before: If provided, only checkpoints before the specified checkpoint ID are returned.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            An asynchronous iterator of matching checkpoint tuples.
+            AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
         """
         where, args = self._search_where(config, filter, before)
         query = self.SELECT_SQL + where + " ORDER BY checkpoint_id DESC"
@@ -170,7 +169,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
         """Get a checkpoint tuple from the database asynchronously.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
-        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
+        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
         the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
         for the given thread ID is retrieved.
 
@@ -178,7 +177,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         thread_id = config["configurable"]["thread_id"]
         checkpoint_id = get_checkpoint_id(config)
@@ -284,7 +283,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
                     checkpoint["id"],
                     checkpoint_id,
                     Jsonb(copy),
-                    Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
+                    Jsonb(get_checkpoint_metadata(config, metadata)),
                 ),
             )
         return next_config
@@ -445,11 +444,11 @@ class AsyncPostgresSaver(BasePostgresSaver):
         Args:
             config: Base configuration for filtering checkpoints.
             filter: Additional filtering criteria for metadata.
-            before: If provided, only checkpoints before the specified checkpoint ID are returned.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            An iterator of matching checkpoint tuples.
+            Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
         """
         try:
             # check if we are in the main thread, only bg threads can block
@@ -477,7 +476,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
-        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
+        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
         the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
         for the given thread ID is retrieved.
 
@@ -485,7 +484,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         try:
             # check if we are in the main thread, only bg threads can block

libs/checkpoint-postgres/langgraph/checkpoint/postgres/base.py

@@ -1,10 +1,8 @@
 from __future__ import annotations
 
 import random
-import warnings
 from collections.abc import Sequence
-from importlib.metadata import version as get_version
-from typing import Any, cast
+from typing import Any, Optional, cast
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -16,19 +14,7 @@ from langgraph.checkpoint.base import (
 from langgraph.checkpoint.serde.types import TASKS
 from psycopg.types.json import Jsonb
 
-MetadataInput = dict[str, Any] | None
-
-try:
-    major, minor = get_version("langgraph").split(".")[:2]
-    if int(major) == 0 and int(minor) < 5:
-        warnings.warn(
-            "You're using incompatible versions of langgraph and checkpoint-postgres. Please upgrade langgraph to avoid unexpected behavior.",
-            DeprecationWarning,
-            stacklevel=2,
-        )
-except Exception:
-    # skip version check if running from source
-    pass
+MetadataInput = Optional[dict[str, Any]]
 
 """
 To add a new migration, add a new string to the MIGRATIONS list.

libs/checkpoint-postgres/langgraph/checkpoint/postgres/shallow.py

@@ -3,7 +3,7 @@ import threading
 import warnings
 from collections.abc import AsyncIterator, Iterator, Sequence
 from contextlib import asynccontextmanager, contextmanager
-from typing import Any
+from typing import Any, Optional
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -12,7 +12,7 @@ from langgraph.checkpoint.base import (
     Checkpoint,
     CheckpointMetadata,
     CheckpointTuple,
-    get_serializable_checkpoint_metadata,
+    get_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.base import SerializerProtocol
 from langgraph.checkpoint.serde.types import TASKS
@@ -151,7 +151,7 @@ def _dump_blobs(
     checkpoint_ns: str,
     values: dict[str, Any],
     versions: ChannelVersions,
-) -> list[tuple[str, str, str, str, bytes | None]]:
+) -> list[tuple[str, str, str, str, Optional[bytes]]]:
     if not versions:
         return []
 
@@ -186,8 +186,8 @@ class ShallowPostgresSaver(BasePostgresSaver):
     def __init__(
         self,
         conn: _internal.Conn,
-        pipe: Pipeline | None = None,
-        serde: SerializerProtocol | None = None,
+        pipe: Optional[Pipeline] = None,
+        serde: Optional[SerializerProtocol] = None,
     ) -> None:
         warnings.warn(
             "ShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
@@ -249,7 +249,6 @@ class ShallowPostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
-                strict=False,
             ):
                 cur.execute(migration)
                 cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
@@ -258,11 +257,11 @@ class ShallowPostgresSaver(BasePostgresSaver):
 
     def list(
         self,
-        config: RunnableConfig | None,
+        config: Optional[RunnableConfig],
         *,
-        filter: dict[str, Any] | None = None,
-        before: RunnableConfig | None = None,
-        limit: int | None = None,
+        filter: Optional[dict[str, Any]] = None,
+        before: Optional[RunnableConfig] = None,
+        limit: Optional[int] = None,
     ) -> Iterator[CheckpointTuple]:
         """List checkpoints from the database.
 
@@ -300,7 +299,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
                     pending_writes=self._load_writes(value["pending_writes"]),
                 )
 
-    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
+    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -310,7 +309,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
 
         Examples:
 
@@ -442,7 +441,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
                     thread_id,
                     checkpoint_ns,
                     Jsonb(copy),
-                    Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
+                    Jsonb(get_checkpoint_metadata(config, metadata)),
                 ),
             )
         return next_config
@@ -543,8 +542,8 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
     def __init__(
         self,
         conn: _ainternal.Conn,
-        pipe: AsyncPipeline | None = None,
-        serde: SerializerProtocol | None = None,
+        pipe: Optional[AsyncPipeline] = None,
+        serde: Optional[SerializerProtocol] = None,
     ) -> None:
         warnings.warn(
             "AsyncShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
@@ -571,7 +570,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
         conn_string: str,
         *,
         pipeline: bool = False,
-        serde: SerializerProtocol | None = None,
+        serde: Optional[SerializerProtocol] = None,
     ) -> AsyncIterator["AsyncShallowPostgresSaver"]:
         """Create a new AsyncShallowPostgresSaver instance from a connection string.
 
@@ -611,7 +610,6 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             for v, migration in zip(
                 range(version + 1, len(self.MIGRATIONS)),
                 self.MIGRATIONS[version + 1 :],
-                strict=False,
             ):
                 await cur.execute(migration)
                 await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
@@ -620,11 +618,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
 
     async def alist(
         self,
-        config: RunnableConfig | None,
+        config: Optional[RunnableConfig],
         *,
-        filter: dict[str, Any] | None = None,
-        before: RunnableConfig | None = None,
-        limit: int | None = None,
+        filter: Optional[dict[str, Any]] = None,
+        before: Optional[RunnableConfig] = None,
+        limit: Optional[int] = None,
     ) -> AsyncIterator[CheckpointTuple]:
         """List checkpoints from the database asynchronously.
 
@@ -664,7 +662,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
                     ),
                 )
 
-    async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
+    async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
         """Get a checkpoint tuple from the database asynchronously.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -674,7 +672,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         thread_id = config["configurable"]["thread_id"]
         checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
@@ -776,7 +774,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
                     thread_id,
                     checkpoint_ns,
                     Jsonb(copy),
-                    Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
+                    Jsonb(get_checkpoint_metadata(config, metadata)),
                 ),
             )
         return next_config
@@ -863,11 +861,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
 
     def list(
         self,
-        config: RunnableConfig | None,
+        config: Optional[RunnableConfig],
         *,
-        filter: dict[str, Any] | None = None,
-        before: RunnableConfig | None = None,
-        limit: int | None = None,
+        filter: Optional[dict[str, Any]] = None,
+        before: Optional[RunnableConfig] = None,
+        limit: Optional[int] = None,
     ) -> Iterator[CheckpointTuple]:
         """List checkpoints from the database.
 
@@ -885,7 +883,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             except StopAsyncIteration:
                 break
 
-    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
+    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -895,7 +893,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         try:
             # check if we are in the main thread, only bg threads can block

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

@@ -2,10 +2,10 @@ from __future__ import annotations
 
 import asyncio
 import logging
-from collections.abc import AsyncIterator, Callable, Iterable, Sequence
+from collections.abc import AsyncIterator, Iterable, Sequence
 from contextlib import asynccontextmanager
 from types import TracebackType
-from typing import Any, cast
+from typing import Any, Callable, cast
 
 import orjson
 from langgraph.store.base import (
@@ -339,7 +339,7 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
 
         Args:
             timeout: Maximum time to wait for the task to stop, in seconds.
-                If `None`, wait indefinitely.
+                If None, wait indefinitely.
 
         Returns:
             bool: True if the task was successfully stopped or wasn't running,
@@ -465,9 +465,7 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
                     query,
                     [
                         p
-                        for (ns, k, pathname, _), vector in zip(
-                            txt_params, vectors, strict=False
-                        )
+                        for (ns, k, pathname, _), vector in zip(txt_params, vectors)
                         for p in (ns, k, pathname, vector)
                     ],
                 )
@@ -488,13 +486,13 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
             vectors = await self.embeddings.aembed_documents(
                 [query for _, query in embedding_requests]
             )
-            for (idx, _), vector in zip(embedding_requests, vectors, strict=False):
+            for (idx, _), vector in zip(embedding_requests, vectors):
                 _paramslist = queries[idx][1]
                 for i in range(len(_paramslist)):
                     if _paramslist[i] is PLACEHOLDER:
                         _paramslist[i] = vector
 
-        for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
+        for (idx, _), (query, params) in zip(search_ops, queries):
             await cur.execute(query, params)
             rows = cast(list[Row], await cur.fetchall())
             items = [
@@ -512,7 +510,7 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         cur: AsyncCursor[DictRow],
     ) -> None:
         queries = self._get_batch_list_namespaces_queries(list_ops)
-        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
+        for (query, params), (idx, _) in zip(queries, list_ops):
             await cur.execute(query, params)
             rows = cast(list[dict], await cur.fetchall())
             namespaces = [_decode_ns_bytes(row["truncated_prefix"]) for row in rows]

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

@@ -6,16 +6,18 @@ import json
 import logging
 import threading
 from collections import defaultdict
-from collections.abc import Callable, Iterable, Iterator, Sequence
+from collections.abc import Iterable, Iterator, Sequence
 from contextlib import contextmanager
 from datetime import datetime
 from typing import (
     TYPE_CHECKING,
     Any,
+    Callable,
     Generic,
     Literal,
     NamedTuple,
     TypeVar,
+    Union,
     cast,
 )
 
@@ -139,7 +141,7 @@ CREATE INDEX CONCURRENTLY IF NOT EXISTS store_vectors_embedding_idx ON store_vec
 ]
 
 
-C = TypeVar("C", bound=_pg_internal.Conn | _ainternal.Conn)
+C = TypeVar("C", bound=Union[_pg_internal.Conn, _ainternal.Conn])
 
 
 class PoolConfig(TypedDict, total=False):
@@ -253,7 +255,7 @@ class BasePostgresStore(Generic[C]):
 
         results = []
         for namespace, items in namespace_groups.items():
-            _, keys = zip(*items, strict=False)
+            _, keys = zip(*items)
             this_refresh_ttls = refresh_ttls[namespace]
 
             query = """
@@ -866,7 +868,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
 
         Args:
             timeout: Maximum time to wait for the thread to stop, in seconds.
-                If `None`, wait indefinitely.
+                If None, wait indefinitely.
 
         Returns:
             bool: True if the thread was successfully stopped or wasn't running,
@@ -1012,9 +1014,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
                     query,
                     [
                         p
-                        for (ns, k, pathname, _), vector in zip(
-                            txt_params, vectors, strict=False
-                        )
+                        for (ns, k, pathname, _), vector in zip(txt_params, vectors)
                         for p in (ns, k, pathname, vector)
                     ],
                 )
@@ -1035,15 +1035,13 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
             embeddings = self.embeddings.embed_documents(
                 [query for _, query in embedding_requests]
             )
-            for (idx, _), embedding in zip(
-                embedding_requests, embeddings, strict=False
-            ):
+            for (idx, _), embedding in zip(embedding_requests, embeddings):
                 _paramslist = queries[idx][1]
                 for i in range(len(_paramslist)):
                     if _paramslist[i] is PLACEHOLDER:
                         _paramslist[i] = embedding
 
-        for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
+        for (idx, _), (query, params) in zip(search_ops, queries):
             cur.execute(query, params)
             rows = cast(list[Row], cur.fetchall())
             results[idx] = [
@@ -1060,7 +1058,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
         cur: Cursor[DictRow],
     ) -> None:
         for (query, params), (idx, _) in zip(
-            self._get_batch_list_namespaces_queries(list_ops), list_ops, strict=False
+            self._get_batch_list_namespaces_queries(list_ops), list_ops
         ):
             cur.execute(query, params)
             results[idx] = [_decode_ns_bytes(row["truncated_prefix"]) for row in cur]

libs/checkpoint-postgres/pyproject.toml

@@ -4,15 +4,15 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.25"
+version = "2.0.23"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-  "langgraph-checkpoint>=2.1.2,<3.0.0",
+  "langgraph-checkpoint>=2.0.21,<3.0.0",
   "orjson>=3.10.1",
   "psycopg>=3.2.0",
   "psycopg-pool>=3.2.0",
@@ -22,24 +22,18 @@ dependencies = [
 Repository = "https://www.github.com/langchain-ai/langgraph"
 
 [dependency-groups]
-test = [
+dev = [
+  "ruff",
+  "codespell",
   "pytest",
   "anyio",
   "pytest-asyncio",
   "pytest-mock",
+  "mypy",
   "psycopg[binary]",
   "langgraph-checkpoint",
   "pytest-watcher",
 ]
-lint = [
-  "ruff",
-  "codespell",
-  "mypy",
-]
-dev = [
-  {include-group = "test"},
-  {include-group = "lint"},
-]
 
 [tool.uv]
 default-groups = ['dev']
@@ -61,10 +55,8 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
-  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
-target-version = "py310"
 
 [tool.mypy]
 # https://mypy.readthedocs.io/en/stable/config_file.html

libs/checkpoint-postgres/tests/test_async.py

@@ -187,11 +187,13 @@ def test_data():
     metadata_1: CheckpointMetadata = {
         "source": "input",
         "step": 2,
+        "writes": {},
         "score": 1,
     }
     metadata_2: CheckpointMetadata = {
         "source": "loop",
         "step": 1,
+        "writes": {"foo": "bar"},
         "score": None,
     }
     metadata_3: CheckpointMetadata = {}
@@ -218,6 +220,7 @@ async def test_combined_metadata(saver_name: str, test_data) -> None:
         metadata: CheckpointMetadata = {
             "source": "loop",
             "step": 1,
+            "writes": {"foo": "bar"},
             "score": None,
         }
         await saver.aput(config, chkpnt, metadata, {})
@@ -243,6 +246,7 @@ async def test_asearch(saver_name: str, test_data) -> None:
         query_1 = {"source": "input"}  # search by 1 key
         query_2 = {
             "step": 1,
+            "writes": {"foo": "bar"},
         }  # search by multiple keys
         query_3: dict[str, Any] = {}  # search by no keys, return all checkpoints
         query_4 = {"source": "update", "step": 1}  # no match

libs/checkpoint-postgres/tests/test_async_store.py

@@ -3,6 +3,7 @@ from __future__ import annotations
 
 import asyncio
 import itertools
+import sys
 import uuid
 from collections.abc import AsyncIterator
 from concurrent.futures import ThreadPoolExecutor
@@ -33,6 +34,9 @@ TTL_MINUTES = TTL_SECONDS / 60
 
 @pytest.fixture(scope="function", params=["default", "pipe", "pool"])
 async def store(request) -> AsyncIterator[AsyncPostgresStore]:
+    if sys.version_info < (3, 10):
+        pytest.skip("Async Postgres tests require Python 3.10+")
+
     database = f"test_{uuid.uuid4().hex[:16]}"
     uri_parts = DEFAULT_URI.split("/")
     uri_base = "/".join(uri_parts[:-1])
@@ -354,6 +358,8 @@ async def _create_vector_store(
     text_fields: list[str] | None = None,
 ) -> AsyncIterator[AsyncPostgresStore]:
     """Create a store with vector search enabled."""
+    if sys.version_info < (3, 10):
+        pytest.skip("Async Postgres tests require Python 3.10+")
 
     database = f"test_{uuid.uuid4().hex[:16]}"
     uri_parts = DEFAULT_URI.split("/")

libs/checkpoint-postgres/tests/test_store.py

@@ -754,7 +754,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
+        dot_product = sum(a * b for a, b in zip(X, y))
         norm1 = sum(a * a for a in X) ** 0.5
         norm2 = sum(a * a for a in y) ** 0.5
         similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
@@ -771,7 +771,7 @@ def _inner_product(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        similarity = sum(a * b for a, b in zip(X, y, strict=False))
+        similarity = sum(a * b for a, b in zip(X, y))
         similarities.append(similarity)
 
     return similarities
@@ -785,7 +785,7 @@ def _neg_l2_distance(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        similarity = sum((a - b) ** 2 for a, b in zip(X, y, strict=False)) ** 0.5
+        similarity = sum((a - b) ** 2 for a, b in zip(X, y)) ** 0.5
         similarities.append(-similarity)
 
     return similarities

libs/checkpoint-postgres/tests/test_sync.py

@@ -169,11 +169,13 @@ def test_data():
     metadata_1: CheckpointMetadata = {
         "source": "input",
         "step": 2,
+        "writes": {},
         "score": 1,
     }
     metadata_2: CheckpointMetadata = {
         "source": "loop",
         "step": 1,
+        "writes": {"foo": "bar"},
         "score": None,
     }
     metadata_3: CheckpointMetadata = {}
@@ -200,6 +202,7 @@ def test_combined_metadata(saver_name: str, test_data) -> None:
         metadata: CheckpointMetadata = {
             "source": "loop",
             "step": 1,
+            "writes": {"foo": "bar"},
             "score": None,
         }
         saver.put(config, chkpnt, metadata, {})
@@ -225,6 +228,7 @@ def test_search(saver_name: str, test_data) -> None:
         query_1 = {"source": "input"}  # search by 1 key
         query_2 = {
             "step": 1,
+            "writes": {"foo": "bar"},
         }  # search by multiple keys
         query_3: dict[str, Any] = {}  # search by no keys, return all checkpoints
         query_4 = {"source": "update", "step": 1}  # no match

libs/checkpoint-postgres/uv.lock

@@ -1,6 +1,6 @@
 version = 1
-revision = 2
-requires-python = ">=3.10"
+revision = 3
+requires-python = ">=3.9"
 
 [[package]]
 name = "annotated-types"
@@ -105,6 +105,17 @@ wheels = [
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 ]
 
@@ -234,7 +245,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "2.1.2"
+version = "2.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -262,26 +273,10 @@ dev = [
     { name = "redis" },
     { name = "ruff" },
 ]
-lint = [
-    { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
-]
-test = [
-    { name = "dataclasses-json" },
-    { name = "numpy" },
-    { name = "pandas" },
-    { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-mock" },
-    { name = "pytest-watcher" },
-    { name = "redis" },
-]
 
 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.25"
+version = "2.0.23"
 source = { editable = "." }
 dependencies = [
     { name = "langgraph-checkpoint" },
@@ -303,20 +298,6 @@ dev = [
     { name = "pytest-watcher" },
     { name = "ruff" },
 ]
-lint = [
-    { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
-]
-test = [
-    { name = "anyio" },
-    { name = "langgraph-checkpoint" },
-    { name = "psycopg", extra = ["binary"] },
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-mock" },
-    { name = "pytest-watcher" },
-]
 
 [package.metadata]
 requires-dist = [
@@ -339,20 +320,6 @@ dev = [
     { name = "pytest-watcher" },
     { name = "ruff" },
 ]
-lint = [
-    { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
-]
-test = [
-    { name = "anyio" },
-    { name = "langgraph-checkpoint", editable = "../checkpoint" },
-    { name = "psycopg", extras = ["binary"] },
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-mock" },
-    { name = "pytest-watcher" },
-]
 
 [[package]]
 name = "langsmith"
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libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/__init__.py

@@ -184,7 +184,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the SQLite database based on the
-        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
+        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
         the matching thread ID and checkpoint ID is retrieved. Otherwise, the latest checkpoint
         for the given thread ID is retrieved.
 
@@ -192,7 +192,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
 
         Examples:
 
@@ -301,12 +301,12 @@ class SqliteSaver(BaseCheckpointSaver[str]):
 
         Args:
             config: The config to use for listing the checkpoints.
-            filter: Additional filtering criteria for metadata.
-            before: If provided, only checkpoints before the specified checkpoint ID are returned.
-            limit: The maximum number of checkpoints to return.
+            filter: Additional filtering criteria for metadata. Defaults to None.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
+            limit: The maximum number of checkpoints to return. Defaults to None.
 
         Yields:
-            An iterator of checkpoint tuples.
+            Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
 
         Examples:
             >>> from langgraph.checkpoint.sqlite import SqliteSaver

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

@@ -2,9 +2,9 @@ from __future__ import annotations
 
 import asyncio
 import random
-from collections.abc import AsyncIterator, Callable, Iterator, Sequence
+from collections.abc import AsyncIterator, Iterator, Sequence
 from contextlib import asynccontextmanager
-from typing import Any, TypeVar, cast
+from typing import Any, Callable, TypeVar, cast
 
 import aiosqlite
 from langchain_core.runnables import RunnableConfig
@@ -139,7 +139,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the SQLite database based on the
-        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
+        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
         the matching thread ID and checkpoint ID is retrieved. Otherwise, the latest checkpoint
         for the given thread ID is retrieved.
 
@@ -147,7 +147,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         try:
             # check if we are in the main thread, only bg threads can block
@@ -181,11 +181,11 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
         Args:
             config: Base configuration for filtering checkpoints.
             filter: Additional filtering criteria for metadata.
-            before: If provided, only checkpoints before the specified checkpoint ID are returned.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            An iterator of matching checkpoint tuples.
+            Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
         """
         try:
             # check if we are in the main thread, only bg threads can block
@@ -316,7 +316,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
         """Get a checkpoint tuple from the database asynchronously.
 
         This method retrieves a checkpoint tuple from the SQLite database based on the
-        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
+        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
         the matching thread ID and checkpoint ID is retrieved. Otherwise, the latest checkpoint
         for the given thread ID is retrieved.
 
@@ -324,7 +324,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         await self.setup()
         checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
@@ -414,11 +414,11 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
         Args:
             config: Base configuration for filtering checkpoints.
             filter: Additional filtering criteria for metadata.
-            before: If provided, only checkpoints before the specified checkpoint ID are returned.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            An asynchronous iterator of matching checkpoint tuples.
+            AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
         """
         await self.setup()
         where, params = search_where(config, filter, before)

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

@@ -3,10 +3,10 @@ from __future__ import annotations
 import asyncio
 import logging
 from collections import defaultdict
-from collections.abc import AsyncIterator, Callable, Iterable, Sequence
+from collections.abc import AsyncIterator, Iterable, Sequence
 from contextlib import asynccontextmanager
 from types import TracebackType
-from typing import Any, cast
+from typing import Any, Callable, cast
 
 import aiosqlite
 import orjson
@@ -303,7 +303,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
 
         Args:
             timeout: Maximum time to wait for the task to stop, in seconds.
-                If `None`, wait indefinitely.
+                If None, wait indefinitely.
 
         Returns:
             bool: True if the task was successfully stopped or wasn't running,
@@ -484,7 +484,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
 
             # Convert vectors to SQLite-friendly format
             vector_params = []
-            for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
+            for (ns, k, pathname, _), vector in zip(txt_params, vectors):
                 vector_params.extend(
                     [ns, k, pathname, sqlite_vec.serialize_float32(vector)]
                 )
@@ -517,9 +517,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                 [query for _, query in embedding_requests]
             )
 
-            for (embed_req_idx, _), embedding in zip(
-                embedding_requests, vectors, strict=False
-            ):
+            for (embed_req_idx, _), embedding in zip(embedding_requests, vectors):
                 # Find the corresponding query in prepared_queries
                 # The embed_req_idx is the original index in search_ops, which should map to prepared_queries
                 if embed_req_idx < len(prepared_queries):
@@ -533,7 +531,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                     )
 
         for (original_op_idx, _), (query, params, needs_refresh) in zip(
-            search_ops, prepared_queries, strict=False
+            search_ops, prepared_queries
         ):
             await cur.execute(query, params)
             rows = await cur.fetchall()
@@ -616,7 +614,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
             cur: Database cursor.
         """
         queries = self._get_batch_list_namespaces_queries(list_ops)
-        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
+        for (query, params), (idx, _) in zip(queries, list_ops):
             await cur.execute(query, params)
 
             rows = await cur.fetchall()

libs/checkpoint-sqlite/langgraph/store/sqlite/base.py

@@ -7,9 +7,9 @@ import re
 import sqlite3
 import threading
 from collections import defaultdict
-from collections.abc import Callable, Iterable, Iterator, Sequence
+from collections.abc import Iterable, Iterator, Sequence
 from contextlib import contextmanager
-from typing import Any, Literal, NamedTuple, cast
+from typing import Any, Callable, Literal, NamedTuple, cast
 
 import orjson
 import sqlite_vec  # type: ignore[import-untyped]
@@ -232,7 +232,7 @@ class BaseSqliteStore:
 
         results = []
         for namespace, items in namespace_groups.items():
-            _, keys = zip(*items, strict=False)
+            _, keys = zip(*items)
             this_refresh_ttls = refresh_ttls[namespace]
             refresh_ttl_any = any(this_refresh_ttls)
 
@@ -829,7 +829,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
 
         results = []
         for namespace, items in namespace_groups.items():
-            _, keys = zip(*items, strict=False)
+            _, keys = zip(*items)
             this_refresh_ttls = refresh_ttls[namespace]
             refresh_ttl_any = any(this_refresh_ttls)
 
@@ -1156,7 +1156,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
 
         Args:
             timeout: Maximum time to wait for the thread to stop, in seconds.
-                If `None`, wait indefinitely.
+                If None, wait indefinitely.
 
         Returns:
             bool: True if the thread was successfully stopped or wasn't running,
@@ -1304,7 +1304,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
 
             # Convert vectors to SQLite-friendly format
             vector_params = []
-            for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
+            for (ns, k, pathname, _), vector in zip(txt_params, vectors):
                 vector_params.extend(
                     [ns, k, pathname, sqlite_vec.serialize_float32(vector)]
                 )
@@ -1332,9 +1332,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
             )
 
             # Replace placeholders with actual embeddings
-            for (embed_req_idx, _), embedding in zip(
-                embedding_requests, embeddings, strict=False
-            ):
+            for (embed_req_idx, _), embedding in zip(embedding_requests, embeddings):
                 if embed_req_idx < len(prepared_queries):
                     _params_list: list = prepared_queries[embed_req_idx][1]
                     for i, param in enumerate(_params_list):
@@ -1346,7 +1344,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
                     )
 
         for (original_op_idx, _), (query, params, needs_refresh) in zip(
-            search_ops, prepared_queries, strict=False
+            search_ops, prepared_queries
         ):
             cur.execute(query, params)
             rows = cur.fetchall()
@@ -1419,7 +1417,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
         cur: sqlite3.Cursor,
     ) -> None:
         queries = self._get_batch_list_namespaces_queries(list_ops)
-        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
+        for (query, params), (idx, _) in zip(queries, list_ops):
             cur.execute(query, params)
             results[idx] = [_decode_ns_text(row[0]) for row in cur.fetchall()]
 

libs/checkpoint-sqlite/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-checkpoint-sqlite"
 version = "2.0.11"
 description = "Library with a SQLite implementation of LangGraph checkpoint saver."
 authors = []
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -21,23 +21,17 @@ dependencies = [
 Repository = "https://www.github.com/langchain-ai/langgraph"
 
 [dependency-groups]
-test = [
+dev = [
+  "ruff",
+  "codespell",
   "pytest",
   "pytest-asyncio",
   "pytest-mock",
   "pytest-watcher",
+  "mypy",
   "langgraph-checkpoint",
   "pytest-retry>=1.7.0",
 ]
-lint = [
-  "ruff",
-  "codespell",
-  "mypy",
-]
-dev = [
-  {include-group = "test"},
-  {include-group = "lint"},
-]
 
 [tool.uv]
 default-groups = ['dev']
@@ -59,10 +53,8 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
-  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
-target-version = "py310"
 
 [tool.pytest-watcher]
 now = true

libs/checkpoint-sqlite/tests/test_async_store.py

@@ -5,7 +5,7 @@ import tempfile
 import uuid
 from collections.abc import AsyncIterator, Generator, Iterable
 from contextlib import asynccontextmanager
-from typing import cast
+from typing import Optional, Union, cast
 
 import pytest
 from langgraph.store.base import (
@@ -51,7 +51,7 @@ def fake_embeddings() -> CharacterEmbeddings:
 async def create_vector_store(
     fake_embeddings: CharacterEmbeddings,
     conn_string: str = ":memory:",
-    text_fields: list[str] | None = None,
+    text_fields: Optional[list[str]] = None,
 ) -> AsyncIterator[AsyncSqliteStore]:
     """Create an AsyncSqliteStore with vector search capabilities."""
     index_config: SqliteIndexConfig = {
@@ -168,7 +168,7 @@ async def test_abatch_order(store: AsyncSqliteStore) -> None:
     ]
 
     results = await store.abatch(
-        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
+        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
     )
     assert len(results) == 5
     assert isinstance(results[0], Item)
@@ -193,7 +193,7 @@ async def test_abatch_order(store: AsyncSqliteStore) -> None:
     ]
 
     results_reordered = await store.abatch(
-        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops_reordered)
+        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
     )
     assert len(results_reordered) == 5
     assert isinstance(results_reordered[0], list)
@@ -681,7 +681,7 @@ async def test_search_items(
         fake_embeddings, text_fields=["key0", "key1", "key3"]
     ) as store:
         # Insert test data
-        for ns, item in zip(test_namespaces, test_items, strict=False):
+        for ns, item in zip(test_namespaces, test_items):
             key = f"item_{ns[-1]}"
             await store.aput(ns, key, item)
 

libs/checkpoint-sqlite/tests/test_store.py

@@ -5,7 +5,7 @@ import tempfile
 import uuid
 from collections.abc import Generator, Iterable
 from contextlib import contextmanager
-from typing import Any, Literal, cast
+from typing import Any, Literal, Optional, Union, cast
 
 import pytest
 from langchain_core.embeddings import Embeddings
@@ -110,7 +110,7 @@ VECTOR_TYPES = ["cosine"]  # SQLite only supports cosine similarity
 @contextmanager
 def create_vector_store(
     fake_embeddings: CharacterEmbeddings,
-    text_fields: list[str] | None = None,
+    text_fields: Optional[list[str]] = None,
     distance_type: str = "cosine",
     conn_type: Literal["memory", "file"] = "memory",
 ) -> Generator[SqliteStore, None, None]:
@@ -153,7 +153,7 @@ def test_batch_order(store: SqliteStore) -> None:
     ]
 
     results = store.batch(
-        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
+        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
     )
     assert len(results) == 5
     assert isinstance(results[0], Item)
@@ -182,7 +182,7 @@ def test_batch_order(store: SqliteStore) -> None:
     ]
 
     results_reordered = store.batch(
-        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops_reordered)
+        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
     )
     assert len(results_reordered) == 5
     assert isinstance(results_reordered[0], list)
@@ -301,7 +301,7 @@ def test_batch_list_namespaces_ops(store: SqliteStore) -> None:
     ]
 
     results = store.batch(
-        cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
+        cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
     )
     assert len(results) == 3
 
@@ -778,7 +778,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
+        dot_product = sum(a * b for a, b in zip(X, y))
         norm1 = sum(a * a for a in X) ** 0.5
         norm2 = sum(a * a for a in y) ** 0.5
         similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
@@ -1011,7 +1011,7 @@ def test_search_items(
         fake_embeddings, text_fields=["key0", "key1", "key3"]
     ) as store:
         # Insert test data
-        for ns, item in zip(test_namespaces, test_items, strict=False):
+        for ns, item in zip(test_namespaces, test_items):
             key = f"item_{ns[-1]}"
             store.put(ns, key, item)
 

libs/checkpoint-sqlite/uv.lock

@@ -1,6 +1,6 @@
 version = 1
-revision = 2
-requires-python = ">=3.10"
+revision = 3
+requires-python = ">=3.9"
 
 [[package]]
 name = "aiosqlite"
@@ -117,6 +117,17 @@ wheels = [
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 source = { editable = "../checkpoint" }
 dependencies = [
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@@ -274,22 +285,6 @@ dev = [
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@@ -313,19 +308,6 @@ dev = [
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libs/checkpoint/langgraph/checkpoint/base/__init__.py

@@ -8,6 +8,7 @@ from typing import (  # noqa: UP035
     NamedTuple,
     TypedDict,
     TypeVar,
+    Union,
 )
 
 from langchain_core.runnables import RunnableConfig
@@ -34,17 +35,17 @@ class CheckpointMetadata(TypedDict, total=False):
     source: Literal["input", "loop", "update", "fork"]
     """The source of the checkpoint.
 
-    - `"input"`: The checkpoint was created from an input to invoke/stream/batch.
-    - `"loop"`: The checkpoint was created from inside the pregel loop.
-    - `"update"`: The checkpoint was created from a manual state update.
-    - `"fork"`: The checkpoint was created as a copy of another checkpoint.
+    - "input": The checkpoint was created from an input to invoke/stream/batch.
+    - "loop": The checkpoint was created from inside the pregel loop.
+    - "update": The checkpoint was created from a manual state update.
+    - "fork": The checkpoint was created as a copy of another checkpoint.
     """
     step: int
     """The step number of the checkpoint.
 
-    `-1` for the first `"input"` checkpoint.
-    `0` for the first `"loop"` checkpoint.
-    `...` for the `nth` checkpoint afterwards.
+    -1 for the first "input" checkpoint.
+    0 for the first "loop" checkpoint.
+    ... for the nth checkpoint afterwards.
     """
     parents: dict[str, str]
     """The IDs of the parent checkpoints.
@@ -53,7 +54,7 @@ class CheckpointMetadata(TypedDict, total=False):
     """
 
 
-ChannelVersions = dict[str, str | int | float]
+ChannelVersions = dict[str, Union[str, int, float]]
 
 
 class Checkpoint(TypedDict):
@@ -147,7 +148,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            The requested checkpoint, or `None` if not found.
+            Optional[Checkpoint]: The requested checkpoint, or None if not found.
         """
         if value := self.get_tuple(config):
             return value.checkpoint
@@ -159,7 +160,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            The requested checkpoint tuple, or `None` if not found.
+            Optional[CheckpointTuple]: The requested checkpoint tuple, or None if not found.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.
@@ -183,7 +184,7 @@ class BaseCheckpointSaver(Generic[V]):
             limit: Maximum number of checkpoints to return.
 
         Returns:
-            Iterator of matching checkpoint tuples.
+            Iterator[CheckpointTuple]: Iterator of matching checkpoint tuples.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.
@@ -251,7 +252,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            The requested checkpoint, or `None` if not found.
+            Optional[Checkpoint]: The requested checkpoint, or None if not found.
         """
         if value := await self.aget_tuple(config):
             return value.checkpoint
@@ -263,7 +264,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            The requested checkpoint tuple, or `None` if not found.
+            Optional[CheckpointTuple]: The requested checkpoint tuple, or None if not found.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.
@@ -287,7 +288,7 @@ class BaseCheckpointSaver(Generic[V]):
             limit: Maximum number of checkpoints to return.
 
         Returns:
-            Async iterator of matching checkpoint tuples.
+            AsyncIterator[CheckpointTuple]: Async iterator of matching checkpoint tuples.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.
@@ -352,11 +353,11 @@ class BaseCheckpointSaver(Generic[V]):
     def get_next_version(self, current: V | None, channel: None) -> V:
         """Generate the next version ID for a channel.
 
-        Default is to use integer versions, incrementing by `1`. If you override, you can use `str`/`int`/`float`
-        versions, as long as they are monotonically increasing.
+        Default is to use integer versions, incrementing by 1. If you override, you can use str/int/float versions,
+        as long as they are monotonically increasing.
 
         Args:
-            current: The current version identifier (`int`, `float`, or `str`).
+            current: The current version identifier (int, float, or str).
             channel: Deprecated argument, kept for backwards compatibility.
 
         Returns:
@@ -403,16 +404,6 @@ def get_checkpoint_metadata(
     return metadata
 
 
-def get_serializable_checkpoint_metadata(
-    config: RunnableConfig, metadata: CheckpointMetadata
-) -> CheckpointMetadata:
-    """Get checkpoint metadata in a backwards-compatible manner."""
-    checkpoint_metadata = get_checkpoint_metadata(config, metadata)
-    if "writes" in checkpoint_metadata:
-        checkpoint_metadata.pop("writes")
-    return checkpoint_metadata
-
-
 """
 Mapping from error type to error index.
 Regular writes just map to their index in the list of writes being saved.

libs/checkpoint/langgraph/checkpoint/memory/__init__.py

@@ -39,10 +39,10 @@ class InMemorySaver(
         Only use `InMemorySaver` for debugging or testing purposes.
         For production use cases we recommend installing [langgraph-checkpoint-postgres](https://pypi.org/project/langgraph-checkpoint-postgres/) and using `PostgresSaver` / `AsyncPostgresSaver`.
 
-        If you are using LangSmith Deployment, no checkpointer needs to be specified. The correct managed checkpointer will be used automatically.
+        If you are using the LangGraph Platform, no checkpointer needs to be specified. The correct managed checkpointer will be used automatically.
 
     Args:
-        serde: The serializer to use for serializing and deserializing checkpoints.
+        serde: The serializer to use for serializing and deserializing checkpoints. Defaults to None.
 
     Examples:
 
@@ -133,7 +133,7 @@ class InMemorySaver(
         """Get a checkpoint tuple from the in-memory storage.
 
         This method retrieves a checkpoint tuple from the in-memory storage based on the
-        provided config. If the config contains a `checkpoint_id` key, the checkpoint with
+        provided config. If the config contains a "checkpoint_id" key, the checkpoint with
         the matching thread ID and timestamp is retrieved. Otherwise, the latest checkpoint
         for the given thread ID is retrieved.
 
@@ -141,7 +141,7 @@ class InMemorySaver(
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         thread_id: str = config["configurable"]["thread_id"]
         checkpoint_ns: str = config["configurable"].get("checkpoint_ns", "")
@@ -231,7 +231,7 @@ class InMemorySaver(
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            An iterator of matching checkpoint tuples.
+            Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
         """
         thread_ids = (config["configurable"]["thread_id"],) if config else self.storage
         config_checkpoint_ns = (
@@ -423,16 +423,16 @@ class InMemorySaver(
                 del self.blobs[k]
 
     async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
-        """Asynchronous version of `get_tuple`.
+        """Asynchronous version of get_tuple.
 
-        This method is an asynchronous wrapper around `get_tuple` that runs the synchronous
+        This method is an asynchronous wrapper around get_tuple that runs the synchronous
         method in a separate thread using asyncio.
 
         Args:
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         return self.get_tuple(config)
 
@@ -444,16 +444,16 @@ class InMemorySaver(
         before: RunnableConfig | None = None,
         limit: int | None = None,
     ) -> AsyncIterator[CheckpointTuple]:
-        """Asynchronous version of `list`.
+        """Asynchronous version of list.
 
-        This method is an asynchronous wrapper around `list` that runs the synchronous
+        This method is an asynchronous wrapper around list that runs the synchronous
         method in a separate thread using asyncio.
 
         Args:
             config: The config to use for listing the checkpoints.
 
         Yields:
-            An asynchronous iterator of checkpoint tuples.
+            AsyncIterator[CheckpointTuple]: An asynchronous iterator of checkpoint tuples.
         """
         for item in self.list(config, filter=filter, before=before, limit=limit):
             yield item
@@ -465,7 +465,7 @@ class InMemorySaver(
         metadata: CheckpointMetadata,
         new_versions: ChannelVersions,
     ) -> RunnableConfig:
-        """Asynchronous version of `put`.
+        """Asynchronous version of put.
 
         Args:
             config: The config to associate with the checkpoint.
@@ -485,9 +485,9 @@ class InMemorySaver(
         task_id: str,
         task_path: str = "",
     ) -> None:
-        """Asynchronous version of `put_writes`.
+        """Asynchronous version of put_writes.
 
-        This method is an asynchronous wrapper around `put_writes` that runs the synchronous
+        This method is an asynchronous wrapper around put_writes that runs the synchronous
         method in a separate thread using asyncio.
 
         Args:

libs/checkpoint/langgraph/checkpoint/serde/base.py

@@ -15,9 +15,9 @@ class SerializerProtocol(UntypedSerializerProtocol, Protocol):
     """Protocol for serialization and deserialization of objects.
 
     - `dumps`: Serialize an object to bytes.
-    - `dumps_typed`: Serialize an object to a tuple `(type, bytes)`.
+    - `dumps_typed`: Serialize an object to a tuple (type, bytes).
     - `loads`: Deserialize an object from bytes.
-    - `loads_typed`: Deserialize an object from a tuple `(type, bytes)`.
+    - `loads_typed`: Deserialize an object from a tuple (type, bytes).
 
     Valid implementations include the `pickle`, `json` and `orjson` modules.
     """

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

@@ -21,7 +21,7 @@ class EncryptedSerializer(SerializerProtocol):
         return self.serde.loads(data)
 
     def dumps_typed(self, obj: Any) -> tuple[str, bytes]:
-        """Serialize an object to a tuple `(type, bytes)` and encrypt the bytes."""
+        """Serialize an object to a tuple (type, bytes) and encrypt the bytes."""
         # serialize data
         typ, data = self.serde.dumps_typed(obj)
         # encrypt data
@@ -45,7 +45,7 @@ class EncryptedSerializer(SerializerProtocol):
     def from_pycryptodome_aes(
         cls, serde: SerializerProtocol = JsonPlusSerializer(), **kwargs: Any
     ) -> "EncryptedSerializer":
-        """Create an `EncryptedSerializer` using AES encryption."""
+        """Create an EncryptedSerializer using AES encryption."""
         try:
             from Crypto.Cipher import AES  # type: ignore
         except ImportError:

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

@@ -9,7 +9,7 @@ import pickle
 import re
 import sys
 from collections import deque
-from collections.abc import Callable, Sequence
+from collections.abc import Sequence
 from datetime import date, datetime, time, timedelta, timezone
 from enum import Enum
 from inspect import isclass
@@ -21,7 +21,7 @@ from ipaddress import (
     IPv6Interface,
     IPv6Network,
 )
-from typing import Any, cast
+from typing import Any, Callable, cast
 from uuid import UUID
 from zoneinfo import ZoneInfo
 

libs/checkpoint/langgraph/checkpoint/serde/types.py

@@ -1,6 +1,7 @@
 from collections.abc import Sequence
 from typing import (
     Any,
+    Optional,
     Protocol,
     TypeVar,
     runtime_checkable,
@@ -27,9 +28,9 @@ class ChannelProtocol(Protocol[Value, Update, C]):
     @property
     def UpdateType(self) -> Any: ...
 
-    def checkpoint(self) -> C | None: ...
+    def checkpoint(self) -> Optional[C]: ...
 
-    def from_checkpoint(self, checkpoint: C | None) -> Self: ...
+    def from_checkpoint(self, checkpoint: Optional[C]) -> Self: ...
 
     def update(self, values: Sequence[Update]) -> bool: ...
 

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

@@ -4,9 +4,9 @@ Stores provide long-term memory that persists across threads and conversations.
 Supports hierarchical namespaces, key-value storage, and optional vector search.
 
 Core types:
-    - `BaseStore`: Store interface with sync/async operations
-    - `Item`: Stored key-value pairs with metadata
-    - `Op`: Get/Put/Search/List operations
+    - BaseStore: Store interface with sync/async operations
+    - Item: Stored key-value pairs with metadata
+    - Op: Get/Put/Search/List operations
 """
 
 from __future__ import annotations
@@ -19,6 +19,7 @@ from typing import (
     Literal,
     NamedTuple,
     TypedDict,
+    Union,
     cast,
 )
 
@@ -56,7 +57,7 @@ class Item:
         key: Unique identifier within the namespace.
         namespace: Hierarchical path defining the collection in which this document resides.
             Represented as a tuple of strings, allowing for nested categorization.
-            For example: `("documents", 'user123')`
+            For example: ("documents", 'user123')
         created_at: Timestamp of item creation.
         updated_at: Timestamp of last update.
     """
@@ -163,7 +164,6 @@ class GetOp(NamedTuple):
     ???+ example "Examples"
 
         Basic item retrieval:
-
         ```python
         GetOp(namespace=("users", "profiles"), key="user123")
         GetOp(namespace=("cache", "embeddings"), key="doc456")
@@ -207,14 +207,11 @@ class SearchOp(NamedTuple):
     within a given namespace prefix. It provides pagination through limit and offset
     parameters.
 
-    !!! note
-
+    Note:
         Natural language search support depends on your store implementation.
 
     ???+ example "Examples"
-
         Search with filters and pagination:
-
         ```python
         SearchOp(
             namespace_prefix=("documents",),
@@ -225,7 +222,6 @@ class SearchOp(NamedTuple):
         ```
 
         Natural language search:
-
         ```python
         SearchOp(
             namespace_prefix=("users", "content"),
@@ -253,15 +249,14 @@ class SearchOp(NamedTuple):
     The filter supports both exact matches and operator-based comparisons.
 
     Supported Operators:
-        - `$eq`: Equal to (same as direct value comparison)
-        - `$ne`: Not equal to
-        - `$gt`: Greater than
-        - `$gte`: Greater than or equal to
-        - `$lt`: Less than
-        - `$lte`: Less than or equal to
+        - $eq: Equal to (same as direct value comparison)
+        - $ne: Not equal to
+        - $gt: Greater than
+        - $gte: Greater than or equal to
+        - $lt: Less than
+        - $lte: Less than or equal to
 
     ???+ example "Examples"
-
         Simple exact match:
 
         ```python
@@ -294,7 +289,6 @@ class SearchOp(NamedTuple):
     """Natural language search query for semantic search capabilities.
 
     ???+ example "Examples"
-
         - "technical documentation about REST APIs"
         - "machine learning papers from 2023"
     """
@@ -308,11 +302,10 @@ class SearchOp(NamedTuple):
 
 
 # Type representing a namespace path that can include wildcards
-NamespacePath = tuple[str | Literal["*"], ...]
+NamespacePath = tuple[Union[str, Literal["*"]], ...]
 """A tuple representing a namespace path that can include wildcards.
 
 ???+ example "Examples"
-
     ```python
     ("users",)  # Exact users namespace
     ("documents", "*")  # Any sub-namespace under documents
@@ -338,21 +331,17 @@ class MatchCondition(NamedTuple):
     hierarchies.
 
     ???+ example "Examples"
-
         Prefix matching:
-
         ```python
         MatchCondition(match_type="prefix", path=("users", "profiles"))
         ```
 
         Suffix matching with wildcard:
-
         ```python
         MatchCondition(match_type="suffix", path=("cache", "*"))
         ```
 
         Simple suffix matching:
-
         ```python
         MatchCondition(match_type="suffix", path=("v1",))
         ```
@@ -373,8 +362,7 @@ class ListNamespacesOp(NamedTuple):
 
     ???+ example "Examples"
 
-        List all namespaces under the `"documents"` path:
-
+        List all namespaces under the "documents" path:
         ```python
         ListNamespacesOp(
             match_conditions=(MatchCondition(match_type="prefix", path=("documents",)),),
@@ -382,8 +370,7 @@ class ListNamespacesOp(NamedTuple):
         )
         ```
 
-        List all namespaces that end with `"v1"`:
-
+        List all namespaces that end with "v1":
         ```python
         ListNamespacesOp(
             match_conditions=(MatchCondition(match_type="suffix", path=("v1",)),),
@@ -397,15 +384,12 @@ class ListNamespacesOp(NamedTuple):
     """Optional conditions for filtering namespaces.
 
     ???+ example "Examples"
-
         All user namespaces:
-
         ```python
         (MatchCondition(match_type="prefix", path=("users",)),)
         ```
 
-        All namespaces that start with `"docs"` and end with `"draft"`:
-
+        All namespaces that start with "docs" and end with "draft":
         ```python
         (
             MatchCondition(match_type="prefix", path=("docs",)),
@@ -442,21 +426,17 @@ class PutOp(NamedTuple):
     Each element in the tuple represents one level in the hierarchy.
 
     ???+ example "Examples"
-
-        Root level documents:
-
+        Root level documents
         ```python
         ("documents",)
         ```
         
-        User-specific documents:
-
+        User-specific documents
         ```python
         ("documents", "user123")
         ```
         
-        Nested cache structure:
-
+        Nested cache structure
         ```python
         ("cache", "embeddings", "v1")
         ```
@@ -469,15 +449,15 @@ class PutOp(NamedTuple):
     Together with the namespace, it forms a complete path to the item.
 
     Example:
-        If namespace is `("documents", "user123")` and key is `"report1"`,
-        the full path would effectively be `"documents/user123/report1"`
+        If namespace is ("documents", "user123") and key is "report1",
+        the full path would effectively be "documents/user123/report1"
     """
 
     value: dict[str, Any] | None
-    """The data to store, or `None` to mark the item for deletion.
+    """The data to store, or None to mark the item for deletion.
 
     The value must be a dictionary with string keys and JSON-serializable values.
-    Setting this to `None` signals that the item should be deleted.
+    Setting this to None signals that the item should be deleted.
 
     Example:
         {
@@ -491,26 +471,25 @@ class PutOp(NamedTuple):
     """Controls how the item's fields are indexed for search operations.
 
     Indexing configuration determines how the item can be found through search:
-        - `None` (default): Uses the store's default indexing configuration (if provided)
-        - `False`: Disables indexing for this item
-        - `list[str]`: Specifies which json path fields to index for search
+        - None (default): Uses the store's default indexing configuration (if provided)
+        - False: Disables indexing for this item
+        - list[str]: Specifies which json path fields to index for search
 
     The item remains accessible through direct get() operations regardless of indexing.
     When indexed, fields can be searched using natural language queries through
     vector similarity search (if supported by the store implementation).
 
     Path Syntax:
-        - Simple field access: `"field"`
-        - Nested fields: `"parent.child.grandchild"`
+        - Simple field access: "field"
+        - Nested fields: "parent.child.grandchild"
         - Array indexing:
-            - Specific index: `"array[0]"`
-            - Last element: `"array[-1]"`
-            - All elements (each individually): `"array[*]"`
+          - Specific index: "array[0]"
+          - Last element: "array[-1]"
+          - All elements (each individually): "array[*]"
 
     ???+ example "Examples"
-
-        - `None` - Use store defaults (whole item)
-        - `list[str]` - List of fields to index
+        - None - Use store defaults (whole item)
+        - list[str] - List of fields to index
         
         ```python
         [
@@ -530,12 +509,12 @@ class PutOp(NamedTuple):
     will expire this many minutes after it was last accessed. The expiration timer
     refreshes on both read operations (get/search) and write operations (put/update).
     When the TTL expires, the item will be scheduled for deletion on a best-effort basis.
-    Defaults to `None` (no expiration).
+    Defaults to None (no expiration).
     """
 
 
-Op = GetOp | SearchOp | PutOp | ListNamespacesOp
-Result = Item | list[Item] | list[SearchItem] | list[tuple[str, ...]] | None
+Op = Union[GetOp, SearchOp, PutOp, ListNamespacesOp]
+Result = Union[Item, list[Item], list[SearchItem], list[tuple[str, ...]], None]
 
 
 class InvalidNamespaceError(ValueError):
@@ -546,18 +525,18 @@ class TTLConfig(TypedDict, total=False):
     """Configuration for TTL (time-to-live) behavior in the store."""
 
     refresh_on_read: bool
-    """Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
+    """Default behavior for refreshing TTLs on read operations (GET and SEARCH).
     
-    If `True`, TTLs will be refreshed on read operations (get/search) by default.
-    This can be overridden per-operation by explicitly setting `refresh_ttl`.
-    Defaults to `True` if not configured.
+    If True, TTLs will be refreshed on read operations (get/search) by default.
+    This can be overridden per-operation by explicitly setting refresh_ttl.
+    Defaults to True if not configured.
     """
     default_ttl: float | None
     """Default TTL (time-to-live) in minutes for new items.
     
     If provided, new items will expire after this many minutes after their last access.
     The expiration timer refreshes on both read and write operations.
-    Defaults to `None` (no expiration).
+    Defaults to None (no expiration).
     """
     sweep_interval_minutes: int | None
     """Interval in minutes between TTL sweep operations.
@@ -571,35 +550,33 @@ class IndexConfig(TypedDict, total=False):
     """Configuration for indexing documents for semantic search in the store.
 
     If not provided to the store, the store will not support vector search.
-    In that case, all `index` arguments to `put()` and `aput()` operations will be ignored.
+    In that case, all `index` arguments to put() and `aput()` operations will be ignored.
     """
 
     dims: int
     """Number of dimensions in the embedding vectors.
     
     Common embedding models have the following dimensions:
-        - `openai:text-embedding-3-large`: `3072`
-        - `openai:text-embedding-3-small`: `1536`
-        - `openai:text-embedding-ada-002`: `1536`
-        - `cohere:embed-english-v3.0`: `1024`
-        - `cohere:embed-english-light-v3.0`: `384`
-        - `cohere:embed-multilingual-v3.0`: `1024`
-        - `cohere:embed-multilingual-light-v3.0`: `384`
+        - openai:text-embedding-3-large: 3072
+        - openai:text-embedding-3-small: 1536
+        - openai:text-embedding-ada-002: 1536
+        - cohere:embed-english-v3.0: 1024
+        - cohere:embed-english-light-v3.0: 384
+        - cohere:embed-multilingual-v3.0: 1024
+        - cohere:embed-multilingual-light-v3.0: 384
     """
 
     embed: Embeddings | EmbeddingsFunc | AEmbeddingsFunc | str
     """Optional function to generate embeddings from text.
     
     Can be specified in three ways:
-        1. A LangChain `Embeddings` instance
-        2. A synchronous embedding function (`EmbeddingsFunc`)
-        3. An asynchronous embedding function (`AEmbeddingsFunc`)
-        4. A provider string (e.g., `"openai:text-embedding-3-small"`)
+        1. A LangChain Embeddings instance
+        2. A synchronous embedding function (EmbeddingsFunc)
+        3. An asynchronous embedding function (AEmbeddingsFunc)
+        4. A provider string (e.g., "openai:text-embedding-3-small")
     
     ???+ example "Examples"
-
-        Using LangChain's initialization with `InMemoryStore`:
-
+        Using LangChain's initialization with InMemoryStore:
         ```python
         from langchain.embeddings import init_embeddings
         from langgraph.store.memory import InMemoryStore
@@ -612,8 +589,7 @@ class IndexConfig(TypedDict, total=False):
         )
         ```
         
-        Using a custom embedding function with `InMemoryStore`:
-
+        Using a custom embedding function with InMemoryStore:
         ```python
         from openai import OpenAI
         from langgraph.store.memory import InMemoryStore
@@ -635,8 +611,7 @@ class IndexConfig(TypedDict, total=False):
         )
         ```
         
-        Using an asynchronous embedding function with `InMemoryStore`:
-
+        Using an asynchronous embedding function with InMemoryStore:
         ```python
         from openai import AsyncOpenAI
         from langgraph.store.memory import InMemoryStore
@@ -664,17 +639,16 @@ class IndexConfig(TypedDict, total=False):
     
     Controls which parts of stored items are embedded for semantic search. Follows JSON path syntax:
 
-    - `["$"]`: Embeds the entire JSON object as one vector  (default)
-    - `["field1", "field2"]`: Embeds specific top-level fields
-    - `["parent.child"]`: Embeds nested fields using dot notation
-    - `["array[*].field"]`: Embeds field from each array element separately
+        - ["$"]: Embeds the entire JSON object as one vector  (default)
+        - ["field1", "field2"]: Embeds specific top-level fields
+        - ["parent.child"]: Embeds nested fields using dot notation
+        - ["array[*].field"]: Embeds field from each array element separately
     
     Note:
         You can always override this behavior when storing an item using the
         `index` parameter in the `put` or `aput` operations.
     
     ???+ example "Examples"
-
         ```python
         # Embed entire document (default)
         fields=["$"]
@@ -693,7 +667,7 @@ class IndexConfig(TypedDict, total=False):
     Note:
         - Fields missing from a document are skipped
         - Array notation creates separate embeddings for each element
-        - Complex nested paths are supported (e.g., `"a.b[*].c.d"`)
+        - Complex nested paths are supported (e.g., "a.b[*].c.d")
     """
 
 
@@ -758,11 +732,11 @@ class BaseStore(ABC):
             namespace: Hierarchical path for the item.
             key: Unique identifier within the namespace.
             refresh_ttl: Whether to refresh TTLs for the returned item.
-                If `None`, uses the store's default `refresh_ttl` setting.
+                If None (default), uses the store's default refresh_ttl setting.
                 If no TTL is specified, this argument is ignored.
 
         Returns:
-            The retrieved item or `None` if not found.
+            The retrieved item or None if not found.
         """
         return self.batch(
             [GetOp(namespace, str(key), _ensure_refresh(self.ttl_config, refresh_ttl))]
@@ -794,9 +768,7 @@ class BaseStore(ABC):
             List of items matching the search criteria.
 
         ???+ example "Examples"
-
             Basic filtering:
-
             ```python
             # Search for documents with specific metadata
             results = store.search(
@@ -806,7 +778,6 @@ class BaseStore(ABC):
             ```
 
             Natural language search (requires vector store implementation):
-
             ```python
             # Initialize store with embedding configuration
             store = YourStore( # e.g., InMemoryStore, AsyncPostgresStore
@@ -818,7 +789,6 @@ class BaseStore(ABC):
             )
 
             # Search for semantically similar documents
-
             results = store.search(
                 ("docs",),
                 query="machine learning applications in healthcare",
@@ -827,10 +797,8 @@ class BaseStore(ABC):
             )
             ```
 
-            !!! note
-
-                Natural language search support depends on your store implementation
-                and requires proper embedding configuration.
+            Note: Natural language search support depends on your store implementation
+            and requires proper embedding configuration.
         """
         return self.batch(
             [
@@ -858,7 +826,7 @@ class BaseStore(ABC):
 
         Args:
             namespace: Hierarchical path for the item, represented as a tuple of strings.
-                Example: `("documents", "user123")`
+                Example: ("documents", "user123")
             key: Unique identifier within the namespace. Together with namespace forms
                 the complete path to the item.
             value: Dictionary containing the item's data. Must contain string keys
@@ -869,10 +837,10 @@ class BaseStore(ABC):
                     If you do not initialize the store with indexing capabilities,
                     the `index` parameter will be ignored
                 - False: Disable indexing for this item
-                - `list[str]`: List of field paths to index, supporting:
-                    - Nested fields: `"metadata.title"`
-                    - Array access: `"chapters[*].content"` (each indexed separately)
-                    - Specific indices: `"authors[0].name"`
+                - list[str]: List of field paths to index, supporting:
+                    - Nested fields: "metadata.title"
+                    - Array access: "chapters[*].content" (each indexed separately)
+                    - Specific indices: "authors[0].name"
             ttl: Time to live in minutes. Support for this argument depends on your store adapter.
                 If specified, the item will expire after this many minutes from when it was last accessed.
                 None means no expiration. Expired runs will be deleted opportunistically.
@@ -888,22 +856,18 @@ class BaseStore(ABC):
             Some implementations may not support expiration of items.
 
         ???+ example "Examples"
-
-            Store item. Indexing depends on how you configure the store:
-
+            Store item. Indexing depends on how you configure the store.
             ```python
             store.put(("docs",), "report", {"memory": "Will likes ai"})
             ```
 
-            Do not index item for semantic search. Still accessible through `get()`
-            and `search()` operations but won't have a vector representation.
-
+            Do not index item for semantic search. Still accessible through get()
+            and search() operations but won't have a vector representation.
             ```python
             store.put(("docs",), "report", {"memory": "Will likes ai"}, index=False)
             ```
 
-            Index specific fields for search:
-
+            Index specific fields for search.
             ```python
             store.put(("docs",), "report", {"memory": "Will likes ai"}, index=["memory"])
             ```
@@ -954,17 +918,15 @@ class BaseStore(ABC):
             suffix: Filter namespaces that end with this path.
             max_depth: Return namespaces up to this depth in the hierarchy.
                 Namespaces deeper than this level will be truncated.
-            limit: Maximum number of namespaces to return.
-            offset: Number of namespaces to skip for pagination.
+            limit: Maximum number of namespaces to return (default 100).
+            offset: Number of namespaces to skip for pagination (default 0).
 
         Returns:
-            A list of namespace tuples that match the criteria. Each tuple represents a
-                full namespace path up to `max_depth`.
+            List[Tuple[str, ...]]: A list of namespace tuples that match the criteria.
+            Each tuple represents a full namespace path up to `max_depth`.
 
         ???+ example "Examples":
-
-            Setting `max_depth=3`. Given the namespaces:
-
+            Setting max_depth=3. Given the namespaces:
             ```python
             # Example if you have the following namespaces:
             # ("a", "b", "c")
@@ -1004,7 +966,7 @@ class BaseStore(ABC):
             key: Unique identifier within the namespace.
 
         Returns:
-            The retrieved item or `None` if not found.
+            The retrieved item or None if not found.
         """
         return (
             await self.abatch(
@@ -1038,16 +1000,14 @@ class BaseStore(ABC):
             limit: Maximum number of items to return.
             offset: Number of items to skip before returning results.
             refresh_ttl: Whether to refresh TTLs for the returned items.
-                If `None`, uses the store's `TTLConfig.refresh_default` setting.
-                If `TTLConfig` is not provided or no TTL is specified, this argument is ignored.
+                If None (default), uses the store's TTLConfig.refresh_default setting.
+                If TTLConfig is not provided or no TTL is specified, this argument is ignored.
 
         Returns:
             List of items matching the search criteria.
 
         ???+ example "Examples"
-
             Basic filtering:
-
             ```python
             # Search for documents with specific metadata
             results = await store.asearch(
@@ -1057,7 +1017,6 @@ class BaseStore(ABC):
             ```
 
             Natural language search (requires vector store implementation):
-
             ```python
             # Initialize store with embedding configuration
             store = YourStore( # e.g., InMemoryStore, AsyncPostgresStore
@@ -1069,7 +1028,6 @@ class BaseStore(ABC):
             )
 
             # Search for semantically similar documents
-
             results = await store.asearch(
                 ("docs",),
                 query="machine learning applications in healthcare",
@@ -1078,10 +1036,8 @@ class BaseStore(ABC):
             )
             ```
 
-            !!! note
-
-                Natural language search support depends on your store implementation
-                and requires proper embedding configuration.
+            Note: Natural language search support depends on your store implementation
+            and requires proper embedding configuration.
         """
         return (
             await self.abatch(
@@ -1111,7 +1067,7 @@ class BaseStore(ABC):
 
         Args:
             namespace: Hierarchical path for the item, represented as a tuple of strings.
-                Example: `("documents", "user123")`
+                Example: ("documents", "user123")
             key: Unique identifier within the namespace. Together with namespace forms
                 the complete path to the item.
             value: Dictionary containing the item's data. Must contain string keys
@@ -1122,10 +1078,10 @@ class BaseStore(ABC):
                     If you do not initialize the store with indexing capabilities,
                     the `index` parameter will be ignored
                 - False: Disable indexing for this item
-                - `list[str]`: List of field paths to index, supporting:
-                    - Nested fields: `"metadata.title"`
-                    - Array access: `"chapters[*].content"` (each indexed separately)
-                    - Specific indices: `"authors[0].name"`
+                - list[str]: List of field paths to index, supporting:
+                    - Nested fields: "metadata.title"
+                    - Array access: "chapters[*].content" (each indexed separately)
+                    - Specific indices: "authors[0].name"
             ttl: Time to live in minutes. Support for this argument depends on your store adapter.
                 If specified, the item will expire after this many minutes from when it was last accessed.
                 None means no expiration. Expired runs will be deleted opportunistically.
@@ -1141,22 +1097,18 @@ class BaseStore(ABC):
             Some implementations may not support expiration of items.
 
         ???+ example "Examples"
-
-            Store item. Indexing depends on how you configure the store:
-
+            Store item. Indexing depends on how you configure the store.
             ```python
             await store.aput(("docs",), "report", {"memory": "Will likes ai"})
             ```
 
-            Do not index item for semantic search. Still accessible through `get()`
-            and `search()` operations but won't have a vector representation.
-
+            Do not index item for semantic search. Still accessible through get()
+            and search() operations but won't have a vector representation.
             ```python
             await store.aput(("docs",), "report", {"memory": "Will likes ai"}, index=False)
             ```
 
             Index specific fields for search (if store configured to index items):
-
             ```python
             await store.aput(
                 ("docs",),
@@ -1215,16 +1167,15 @@ class BaseStore(ABC):
             suffix: Filter namespaces that end with this path.
             max_depth: Return namespaces up to this depth in the hierarchy.
                 Namespaces deeper than this level will be truncated to this depth.
-            limit: Maximum number of namespaces to return.
-            offset: Number of namespaces to skip for pagination.
+            limit: Maximum number of namespaces to return (default 100).
+            offset: Number of namespaces to skip for pagination (default 0).
 
         Returns:
-            A list of namespace tuples that match the criteria. Each tuple represents a
-                full namespace path up to `max_depth`.
+            List[Tuple[str, ...]]: A list of namespace tuples that match the criteria.
+            Each tuple represents a full namespace path up to `max_depth`.
 
         ???+ example "Examples"
-
-            Setting `max_depth=3` with existing namespaces:
+            Setting max_depth=3 with existing namespaces:
             ```python
             # Given the following namespaces:
             # ("a", "b", "c")

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

@@ -5,8 +5,8 @@ from __future__ import annotations
 import asyncio
 import functools
 import weakref
-from collections.abc import Callable, Iterable
-from typing import Any, Literal, TypeVar
+from collections.abc import Iterable
+from typing import Any, Callable, Literal, TypeVar
 
 from langgraph.store.base import (
     NOT_PROVIDED,
@@ -349,7 +349,7 @@ async def _run(
                         results = [results[ix] for ix in listen]
 
                     # set the results of each operation
-                    for fut, result in zip(futs, results, strict=False):
+                    for fut, result in zip(futs, results):
                         # guard against future being done (e.g. cancelled)
                         if not fut.done():
                             fut.set_result(result)

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

@@ -11,8 +11,8 @@ from __future__ import annotations
 import asyncio
 import functools
 import json
-from collections.abc import Awaitable, Callable, Sequence
-from typing import Any
+from collections.abc import Awaitable, Sequence
+from typing import Any, Callable
 
 from langchain_core.embeddings import Embeddings
 
@@ -49,9 +49,7 @@ def ensure_embeddings(
         An Embeddings instance that wraps the provided function(s).
 
     ??? example "Examples"
-
         Wrap a synchronous embedding function:
-
         ```python
         def my_embed_fn(texts):
             return [[0.1, 0.2] for _ in texts]
@@ -61,7 +59,6 @@ def ensure_embeddings(
         ```
 
         Wrap an asynchronous embedding function:
-
         ```python
         async def my_async_fn(texts):
             return [[0.1, 0.2] for _ in texts]
@@ -71,7 +68,6 @@ def ensure_embeddings(
         ```
 
         Initialize embeddings using a provider string:
-
         ```python
         # Requires langchain>=0.3.9 and langgraph-checkpoint>=2.0.11
         embeddings = ensure_embeddings("openai:text-embedding-3-small")
@@ -123,9 +119,7 @@ class EmbeddingsLambda(Embeddings):
             will raise an error. If sync, it will be used for both sync and async operations.
 
     ??? example "Examples"
-
         With a sync function:
-
         ```python
         def my_embed_fn(texts):
             # Return 2D embeddings for each text
@@ -137,7 +131,6 @@ class EmbeddingsLambda(Embeddings):
         ```
 
         With an async function:
-
         ```python
         async def my_async_fn(texts):
             return [[0.1, 0.2] for _ in texts]

libs/checkpoint/langgraph/store/memory/__init__.py

@@ -295,7 +295,7 @@ class InMemoryStore(BaseStore):
             if queries:
                 coros = [self.embeddings.aembed_query(q) for q in list(queries)]
                 results = await asyncio.gather(*coros)
-                queryinmem_store = dict(zip(queries, results, strict=False))
+                queryinmem_store = dict(zip(queries, results))
 
         return queryinmem_store
 
@@ -323,9 +323,7 @@ class InMemoryStore(BaseStore):
 
                 scores = _cosine_similarity(query_embedding, flat_vectors)
                 sorted_results = sorted(
-                    zip(scores, flat_items, strict=False),
-                    key=lambda x: x[0],
-                    reverse=True,
+                    zip(scores, flat_items), key=lambda x: x[0], reverse=True
                 )
                 # max pooling
                 seen: set[tuple[tuple[str, ...], str]] = set()
@@ -454,7 +452,7 @@ class InMemoryStore(BaseStore):
                 f"Number of embeddings ({len(embeddings)}) does not"
                 f" match number of indices ({len(indices)})"
             )
-        for embedding, (ns, key, path) in zip(embeddings, indices, strict=False):
+        for embedding, (ns, key, path) in zip(embeddings, indices):
             self._vectors[ns][key][path] = embedding
 
     def _handle_list_namespaces(self, op: ListNamespacesOp) -> list[tuple[str, ...]]:
@@ -513,7 +511,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
 
     similarities = []
     for y in Y:
-        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
+        dot_product = sum(a * b for a, b in zip(X, y))
         norm1 = sum(a * a for a in X) ** 0.5
         norm2 = sum(a * a for a in y) ** 0.5
         similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
@@ -531,14 +529,14 @@ def _does_match(match_condition: MatchCondition, key: tuple[str, ...]) -> bool:
         return False
 
     if match_type == "prefix":
-        for k_elem, p_elem in zip(key, path, strict=False):
+        for k_elem, p_elem in zip(key, path):
             if p_elem == "*":
                 continue  # Wildcard matches any element
             if k_elem != p_elem:
                 return False
         return True
     elif match_type == "suffix":
-        for k_elem, p_elem in zip(reversed(key), reversed(path), strict=False):
+        for k_elem, p_elem in zip(reversed(key), reversed(path)):
             if p_elem == "*":
                 continue  # Wildcard matches any element
             if k_elem != p_elem:
@@ -565,10 +563,7 @@ def _compare_values(item_value: Any, filter_value: Any) -> bool:
         return (
             isinstance(item_value, (list, tuple))
             and len(item_value) == len(filter_value)
-            and all(
-                _compare_values(iv, fv)
-                for iv, fv in zip(item_value, filter_value, strict=False)
-            )
+            and all(_compare_values(iv, fv) for iv, fv in zip(item_value, filter_value))
         )
     else:
         return item_value == filter_value

libs/checkpoint/pyproject.toml

@@ -4,10 +4,10 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint"
-version = "2.1.2"
+version = "2.1.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -20,26 +20,20 @@ dependencies = [
 Repository = "https://www.github.com/langchain-ai/langgraph"
 
 [dependency-groups]
-test = [
+dev = [
+  "ruff",
+  "codespell",
   "pytest",
   "pytest-asyncio",
   "pytest-mock",
   "pytest-watcher",
+  "mypy",
   "dataclasses-json",
   "numpy",
   "pandas",
   "pandas-stubs>=2.2.2.240807",
   "redis",
 ]
-lint = [
-  "ruff",
-  "codespell",
-  "mypy",
-]
-dev = [
-  {include-group = "test"},
-  {include-group = "lint"},
-]
 
 [tool.hatch.build.targets.wheel]
 include = ["langgraph"]
@@ -55,10 +49,8 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
-  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
-target-version = "py310"
 
 [tool.pytest-watcher]
 now = true

libs/checkpoint/tests/test_jsonplus.py

@@ -60,15 +60,22 @@ class MyDataclass:
         pass
 
 
-@dataclasses.dataclass(slots=True)
-class MyDataclassWSlots:
-    foo: str
-    bar: int
-    inner: InnerDataclass
+if sys.version_info < (3, 10):
 
-    def something(self) -> None:
+    class MyDataclassWSlots(MyDataclass):
         pass
 
+else:
+
+    @dataclasses.dataclass(slots=True)
+    class MyDataclassWSlots:
+        foo: str
+        bar: int
+        inner: InnerDataclass
+
+        def something(self) -> None:
+            pass
+
 
 class MyEnum(Enum):
     FOO = "foo"
@@ -108,7 +115,11 @@ def test_serde_jsonplus() -> None:
         "my_dataclass": MyDataclass("foo", 1, InnerDataclass("hello")),
         "my_enum": MyEnum.FOO,
         "my_pydantic": MyPydantic(foo="foo", bar=1, inner=InnerPydantic(hello="hello")),
+        "my_pydantic_v1": MyPydanticV1(
+            foo="foo", bar=1, inner=InnerPydanticV1(hello="hello")
+        ),
         "my_secret_str": SecretStr("meow"),
+        "my_secret_str_v1": SecretStrV1("meow"),
         "person": Person(name="foo"),
         "a_bool": True,
         "a_none": None,
@@ -130,12 +141,6 @@ def test_serde_jsonplus() -> None:
         ),
     }
 
-    if sys.version_info < (3, 14):
-        to_serialize["my_pydantic_v1"] = MyPydanticV1(
-            foo="foo", bar=1, inner=InnerPydanticV1(hello="hello")
-        )
-        to_serialize["my_secret_str_v1"] = SecretStrV1("meow")
-
     serde = JsonPlusSerializer()
 
     dumped = serde.dumps_typed(to_serialize)
@@ -192,7 +197,11 @@ def test_serde_jsonplus_json_mode() -> None:
         "my_dataclass": MyDataclass("foo", 1, InnerDataclass("hello")),
         "my_enum": MyEnum.FOO,
         "my_pydantic": MyPydantic(foo="foo", bar=1, inner=InnerPydantic(hello="hello")),
+        "my_pydantic_v1": MyPydanticV1(
+            foo="foo", bar=1, inner=InnerPydanticV1(hello="hello")
+        ),
         "my_secret_str": SecretStr("meow"),
+        "my_secret_str_v1": SecretStrV1("meow"),
         "person": Person(name="foo"),
         "a_bool": True,
         "a_none": None,
@@ -214,20 +223,13 @@ def test_serde_jsonplus_json_mode() -> None:
         ),
     }
 
-    if sys.version_info < (3, 14):
-        to_serialize["my_pydantic_v1"] = MyPydanticV1(
-            foo="foo", bar=1, inner=InnerPydanticV1(hello="hello")
-        )
-        to_serialize["my_secret_str_v1"] = SecretStrV1("meow")
-
     serde = JsonPlusSerializer(__unpack_ext_hook__=_msgpack_ext_hook_to_json)
 
     dumped = serde.dumps_typed(to_serialize)
 
     assert dumped[0] == "msgpack"
     result = serde.loads_typed(dumped)
-
-    expected_result = {
+    assert result == {
         "path": ["foo", "bar"],
         "re": ["foo", 48],
         "decimal": "1.10101",
@@ -251,7 +253,9 @@ def test_serde_jsonplus_json_mode() -> None:
         "my_dataclass": {"foo": "foo", "bar": 1, "inner": {"hello": "hello"}},
         "my_enum": "foo",
         "my_pydantic": {"foo": "foo", "bar": 1, "inner": {"hello": "hello"}},
+        "my_pydantic_v1": {"foo": "foo", "bar": 1, "inner": {"hello": "hello"}},
         "my_secret_str": "meow",
+        "my_secret_str_v1": "meow",
         "person": {"name": "foo"},
         "a_bool": True,
         "a_none": None,
@@ -273,12 +277,6 @@ def test_serde_jsonplus_json_mode() -> None:
         },
     }
 
-    if sys.version_info < (3, 14):
-        expected_result["my_pydantic_v1"] = {"foo": "foo", "bar": 1, "inner": {"hello": "hello"}}
-        expected_result["my_secret_str_v1"] = "meow"
-
-    assert result == expected_result
-
 
 def test_serde_jsonplus_bytes() -> None:
     serde = JsonPlusSerializer()

libs/checkpoint/tests/test_store.py

@@ -845,7 +845,7 @@ async def test_async_batched_vector_search_concurrent(
         ]
     )
 
-    for results, (query, filter_) in zip(all_results, search_queries, strict=False):
+    for results, (query, filter_) in zip(all_results, search_queries):
         assert len(results) > 0, f"No results for query '{query}' with filter {filter_}"
 
         for result in results:

libs/checkpoint/uv.lock

@@ -1,10 +1,11 @@
 version = 1
-revision = 2
-requires-python = ">=3.10"
+revision = 3
+requires-python = ">=3.9"
 resolution-markers = [
     "python_full_version >= '3.12'",
     "python_full_version == '3.11.*'",
-    "python_full_version < '3.11'",
+    "python_full_version == '3.10.*'",
+    "python_full_version < '3.10'",
 ]
 
 [[package]]
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     { url = "https://files.pythonhosted.org/packages/ee/7a/36fbcf646e41f710ce0a563c1c9a343c6edf9be80786edeb15b6f62e17db/charset_normalizer-3.4.3-cp314-cp314-win_amd64.whl", hash = "sha256:73dc19b562516fc9bcf6e5d6e596df0b4eb98d87e4f79f3ae71840e6ed21361c", size = 107400, upload-time = "2025-08-09T07:56:55.172Z" },
+    { url = "https://files.pythonhosted.org/packages/c2/ca/9a0983dd5c8e9733565cf3db4df2b0a2e9a82659fd8aa2a868ac6e4a991f/charset_normalizer-3.4.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:70bfc5f2c318afece2f5838ea5e4c3febada0be750fcf4775641052bbba14d05", size = 207520, upload-time = "2025-08-09T07:57:11.026Z" },
+    { url = "https://files.pythonhosted.org/packages/39/c6/99271dc37243a4f925b09090493fb96c9333d7992c6187f5cfe5312008d2/charset_normalizer-3.4.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23b6b24d74478dc833444cbd927c338349d6ae852ba53a0d02a2de1fce45b96e", size = 147307, upload-time = "2025-08-09T07:57:12.4Z" },
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 ]
 
@@ -261,7 +273,7 @@ wheels = [
 
 [[package]]
 name = "langgraph-checkpoint"
-version = "2.1.2"
+version = "2.1.1"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -273,10 +285,12 @@ dev = [
     { name = "codespell" },
     { name = "dataclasses-json" },
     { name = "mypy" },
-    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
     { name = "numpy", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
     { name = "pandas" },
-    { name = "pandas-stubs" },
+    { name = "pandas-stubs", version = "2.2.2.240807", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
+    { name = "pandas-stubs", version = "2.3.2.250926", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -284,23 +298,6 @@ dev = [
     { name = "redis" },
     { name = "ruff" },
 ]
-lint = [
-    { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
-]
-test = [
-    { name = "dataclasses-json" },
-    { name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
-    { name = "numpy", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
-    { name = "pandas" },
-    { name = "pandas-stubs" },
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-mock" },
-    { name = "pytest-watcher" },
-    { name = "redis" },
-]
 
 [package.metadata]
 requires-dist = [
@@ -323,22 +320,6 @@ dev = [
     { name = "redis" },
     { name = "ruff" },
 ]
-lint = [
-    { name = "codespell" },
-    { name = "mypy" },
-    { name = "ruff" },
-]
-test = [
-    { name = "dataclasses-json" },
-    { name = "numpy" },
-    { name = "pandas" },
-    { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
-    { name = "pytest" },
-    { name = "pytest-asyncio" },
-    { name = "pytest-mock" },
-    { name = "pytest-watcher" },
-    { name = "redis" },
-]
 
 [[package]]
 name = "langsmith"
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libs/cli/examples/graphs/storm.py

@@ -1,6 +1,6 @@
 import asyncio
 import json
-from typing import Annotated
+from typing import Annotated, Optional
 
 from langchain_community.retrievers import WikipediaRetriever
 from langchain_community.tools.tavily_search import TavilySearchResults
@@ -51,7 +51,7 @@ class Subsection(BaseModel):
 class Section(BaseModel):
     section_title: str = Field(..., title="Title of the section")
     description: str = Field(..., title="Content of the section")
-    subsections: list[Subsection] | None = Field(
+    subsections: Optional[list[Subsection]] = Field(
         default=None,
         title="Titles and descriptions for each subsection of the Wikipedia page.",
     )
@@ -201,8 +201,8 @@ def update_editor(editor, new_editor):
 
 class InterviewState(TypedDict):
     messages: Annotated[list[AnyMessage], add_messages]
-    references: Annotated[dict | None, update_references]
-    editor: Annotated[Editor | None, update_editor]
+    references: Annotated[Optional[dict], update_references]
+    editor: Annotated[Optional[Editor], update_editor]
 
 
 gen_qn_prompt = ChatPromptTemplate.from_messages(
@@ -321,7 +321,7 @@ async def search_engine(query: str):
 
 async def gen_answer(
     state: InterviewState,
-    config: RunnableConfig | None = None,
+    config: Optional[RunnableConfig] = None,
     name: str = "Subject_Matter_Expert",
     max_str_len: int = 15000,
 ):
@@ -437,7 +437,7 @@ class SubSection(BaseModel):
 class WikiSection(BaseModel):
     section_title: str = Field(..., title="Title of the section")
     content: str = Field(..., title="Full content of the section")
-    subsections: list[Subsection] | None = Field(
+    subsections: Optional[list[Subsection]] = Field(
         default=None,
         title="Titles and descriptions for each subsection of the Wikipedia page.",
     )

libs/cli/examples/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-examples"
 version = "0.1.0"
 description = ""
 readme = "README.md"
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 dependencies = [
     "langgraph-cli",
     "langgraph-sdk",

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.4"
+__version__ = "0.4.2"

libs/cli/langgraph_cli/cli.py

@@ -4,7 +4,8 @@ import os
 import pathlib
 import shutil
 import sys
-from collections.abc import Callable, Sequence
+from collections.abc import Sequence
+from typing import Callable, Optional
 
 import click
 import click.exceptions
@@ -199,23 +200,23 @@ def cli():
 @log_command
 def up(
     config: pathlib.Path,
-    docker_compose: pathlib.Path | None,
+    docker_compose: Optional[pathlib.Path],
     port: int,
     recreate: bool,
     pull: bool,
     watch: bool,
     wait: bool,
     verbose: bool,
-    debugger_port: int | None,
-    debugger_base_url: str | None,
-    postgres_uri: str | None,
-    api_version: str | None,
-    image: str | None,
-    base_image: str | None,
+    debugger_port: Optional[int],
+    debugger_base_url: Optional[str],
+    postgres_uri: Optional[str],
+    api_version: Optional[str],
+    image: Optional[str],
+    base_image: Optional[str],
 ):
     click.secho("Starting LangGraph API server...", fg="green")
     click.secho(
-        """For local dev, requires env var LANGSMITH_API_KEY with access to LangSmith Deployment.
+        """For local dev, requires env var LANGSMITH_API_KEY with access to LangGraph Platform.
 For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KEY.""",
     )
     with Runner() as runner, Progress(message="Pulling...") as set:
@@ -297,13 +298,13 @@ def _build(
     set: Callable[[str], None],
     config: pathlib.Path,
     config_json: dict,
-    base_image: str | None,
-    api_version: str | None,
+    base_image: Optional[str],
+    api_version: Optional[str],
     pull: bool,
     tag: str,
     passthrough: Sequence[str] = (),
-    install_command: str | None = None,
-    build_command: str | None = None,
+    install_command: Optional[str] = None,
+    build_command: Optional[str] = None,
 ):
     # pull latest images
     if pull:
@@ -402,12 +403,12 @@ def _build(
 def build(
     config: pathlib.Path,
     docker_build_args: Sequence[str],
-    base_image: str | None,
-    api_version: str | None,
+    base_image: Optional[str],
+    api_version: Optional[str],
     pull: bool,
     tag: str,
-    install_command: str | None,
-    build_command: str | None,
+    install_command: Optional[str],
+    build_command: Optional[str],
 ):
     with Runner() as runner, Progress(message="Pulling...") as set:
         if shutil.which("docker") is None:
@@ -511,8 +512,8 @@ def dockerfile(
     save_path: str,
     config: pathlib.Path,
     add_docker_compose: bool,
-    base_image: str | None = None,
-    api_version: str | None = None,
+    base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
 ) -> None:
     save_path = pathlib.Path(save_path).absolute()
     secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
@@ -583,7 +584,7 @@ def dockerfile(
                         "\n",
                         "# LANGSMITH_API_KEY=your-api-key",
                         "\n",
-                        "# Or if you have a LangSmith Deployment license key, "
+                        "# Or if you have a LangGraph Platform license key, "
                         "then uncomment the following line: ",
                         "\n",
                         "# LANGGRAPH_CLOUD_LICENSE_KEY=your-license-key",
@@ -687,11 +688,11 @@ def dev(
     port: int,
     no_reload: bool,
     config: str,
-    n_jobs_per_worker: int | None,
+    n_jobs_per_worker: Optional[int],
     no_browser: bool,
-    debug_port: int | None,
+    debug_port: Optional[int],
     wait_for_client: bool,
-    studio_url: str | None,
+    studio_url: Optional[str],
     allow_blocking: bool,
     tunnel: bool,
     server_log_level: str,
@@ -775,7 +776,7 @@ def dev(
 )
 @cli.command("new", help="🌱 Create a new LangGraph project from a template.")
 @log_command
-def new(path: str | None, template: str | None) -> None:
+def new(path: Optional[str], template: Optional[str]) -> None:
     """Create a new LangGraph project from a template."""
     return create_new(path, template)
 
@@ -785,17 +786,17 @@ def prepare_args_and_stdin(
     capabilities: DockerCapabilities,
     config_path: pathlib.Path,
     config: Config,
-    docker_compose: pathlib.Path | None,
+    docker_compose: Optional[pathlib.Path],
     port: int,
     watch: bool,
-    debugger_port: int | None = None,
-    debugger_base_url: str | None = None,
-    postgres_uri: str | None = None,
-    api_version: str | None = None,
+    debugger_port: Optional[int] = None,
+    debugger_base_url: Optional[str] = None,
+    postgres_uri: Optional[str] = None,
+    api_version: Optional[str] = None,
     # Like "my-tag" (if you already built it locally)
-    image: str | None = None,
+    image: Optional[str] = None,
     # Like "langchain/langgraphjs-api" or "langchain/langgraph-api
-    base_image: str | None = None,
+    base_image: Optional[str] = None,
 ) -> tuple[list[str], str]:
     assert config_path.exists(), f"Config file not found: {config_path}"
     # prepare args
@@ -834,17 +835,17 @@ def prepare(
     *,
     capabilities: DockerCapabilities,
     config_path: pathlib.Path,
-    docker_compose: pathlib.Path | None,
+    docker_compose: Optional[pathlib.Path],
     port: int,
     pull: bool,
     watch: bool,
     verbose: bool,
-    debugger_port: int | None = None,
-    debugger_base_url: str | None = None,
-    postgres_uri: str | None = None,
-    api_version: str | None = None,
-    image: str | None = None,
-    base_image: str | None = None,
+    debugger_port: Optional[int] = None,
+    debugger_base_url: Optional[str] = None,
+    postgres_uri: Optional[str] = None,
+    api_version: Optional[str] = None,
+    image: Optional[str] = None,
+    base_image: Optional[str] = None,
 ) -> tuple[list[str], str]:
     """Prepare the arguments and stdin for running the LangGraph API server."""
     config_json = langgraph_cli.config.validate_config_file(config_path)

libs/cli/langgraph_cli/config.py

@@ -4,7 +4,7 @@ import pathlib
 import re
 import textwrap
 from collections import Counter
-from typing import Any, Literal, NamedTuple, TypedDict
+from typing import Any, Literal, NamedTuple, Optional, TypedDict, Union
 
 import click
 
@@ -25,19 +25,19 @@ class TTLConfig(TypedDict, total=False):
     """Configuration for TTL (time-to-live) behavior in the store."""
 
     refresh_on_read: bool
-    """Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
+    """Default behavior for refreshing TTLs on read operations (GET and SEARCH).
     
-    If `True`, TTLs will be refreshed on read operations (get/search) by default.
-    This can be overridden per-operation by explicitly setting `refresh_ttl`.
-    Defaults to `True` if not configured.
+    If True, TTLs will be refreshed on read operations (get/search) by default.
+    This can be overridden per-operation by explicitly setting refresh_ttl.
+    Defaults to True if not configured.
     """
-    default_ttl: float | None
+    default_ttl: Optional[float]
     """Optional. Default TTL (time-to-live) in minutes for new items.
     
     If provided, all new items will have this TTL unless explicitly overridden.
     If omitted, items will have no TTL by default.
     """
-    sweep_interval_minutes: int | None
+    sweep_interval_minutes: Optional[int]
     """Optional. Interval in minutes between TTL sweep iterations.
     
     If provided, the store will periodically delete expired items based on the TTL.
@@ -83,7 +83,7 @@ class IndexConfig(TypedDict, total=False):
     Note: Must return embeddings of dimension `dims`.
     """
 
-    fields: list[str] | None
+    fields: Optional[list[str]]
     """Optional. List of JSON fields to extract before generating embeddings.
     
     Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
@@ -102,7 +102,7 @@ class StoreConfig(TypedDict, total=False):
     the store will just handle traditional (non-embedded) data without vector lookups.
     """
 
-    index: IndexConfig | None
+    index: Optional[IndexConfig]
     """Optional. Defines the vector-based semantic search configuration.
     
     If provided, the store will:
@@ -113,7 +113,7 @@ class StoreConfig(TypedDict, total=False):
     If omitted, no vector index is initialized.
     """
 
-    ttl: TTLConfig | None
+    ttl: Optional[TTLConfig]
     """Optional. Defines the TTL (time-to-live) behavior configuration.
     
     If provided, the store will apply TTL settings according to the configuration.
@@ -130,9 +130,9 @@ class ThreadTTLConfig(TypedDict, total=False):
     Choices:
       - "delete": Delete all checkpoints for a thread after TTL expires.
     """
-    default_ttl: float | None
+    default_ttl: Optional[float]
     """Default TTL (time-to-live) in minutes for checkpointed data."""
-    sweep_interval_minutes: int | None
+    sweep_interval_minutes: Optional[int]
     """Interval in minutes between sweep iterations.
     If omitted, a default interval will be used (typically ~ 5 minutes)."""
 
@@ -143,7 +143,7 @@ class CheckpointerConfig(TypedDict, total=False):
     If omitted, no checkpointer is set up (the object store will still be present, however).
     """
 
-    ttl: ThreadTTLConfig | None
+    ttl: Optional[ThreadTTLConfig]
     """Optional. Defines the TTL (time-to-live) behavior configuration.
     
     If provided, the checkpointer will apply TTL settings according to the configuration.
@@ -159,7 +159,7 @@ class SecurityConfig(TypedDict, total=False):
     """
 
     securitySchemes: dict[str, dict[str, Any]]
-    """Describe each security scheme recognized by your OpenAPI spec.
+    """Required. Dict describing each security scheme recognized by your OpenAPI spec.
     
     Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
     Example:
@@ -176,7 +176,7 @@ class SecurityConfig(TypedDict, total=False):
         }
     """
     security: list[dict[str, list[str]]]
-    """Global security requirements across all endpoints.
+    """Optional. Global security requirements across all endpoints.
     
     Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
     Example:
@@ -187,7 +187,7 @@ class SecurityConfig(TypedDict, total=False):
     """
     # path => {method => security}
     paths: dict[str, dict[str, list[dict[str, list[str]]]]]
-    """Path-specific security overrides.
+    """Optional. Path-specific security overrides.
     
     Keys are path templates (e.g., "/items/{item_id}"), mapping to:
       - Keys that are HTTP methods (e.g., "GET", "POST"),
@@ -215,11 +215,11 @@ class AuthConfig(TypedDict, total=False):
     """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio. 
     
     Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
-    value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
+    value is a valid API key for the deployment's workspace. If True, all requests will go through your custom
     authentication logic, regardless of origin of the request.
     """
     openapi: SecurityConfig
-    """The security configuration to include in your server's OpenAPI spec.
+    """Required. Detailed security configuration that merges into your deployment's OpenAPI spec.
     
     Example (OAuth2):
         {
@@ -262,7 +262,7 @@ class CorsConfig(TypedDict, total=False):
     allow_headers: list[str]
     """Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
     allow_credentials: bool
-    """Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
+    """Optional. If True, cross-origin requests can include credentials (cookies, auth headers).
     
     Default False to avoid accidentally exposing secured endpoints to untrusted sites.
     """
@@ -290,14 +290,14 @@ class ConfigurableHeaderConfig(TypedDict):
     Each value can be a raw string with an optional wildcard.
     """
 
-    includes: list[str] | None
+    includes: Optional[list[str]]
     """Headers to include (if not also matches against an 'exludes' pattern.
 
     Examples:
         - 'user-agent'
         - 'x-configurable-*'
     """
-    excludes: list[str] | None
+    excludes: Optional[list[str]]
     """Headers to exclude. Applied before the 'includes' checks.
 
     Examples:
@@ -317,27 +317,27 @@ class HttpConfig(TypedDict, total=False):
     If provided, it can override or extend the default routes.
     """
     disable_assistants: bool
-    """Optional. If `True`, /assistants routes are removed from the server.
+    """Optional. If True, /assistants routes are removed from the server.
     
     Default is False (meaning /assistants is enabled).
     """
     disable_threads: bool
-    """Optional. If `True`, /threads routes are removed.
+    """Optional. If True, /threads routes are removed.
     
     Default is False.
     """
     disable_runs: bool
-    """Optional. If `True`, /runs routes are removed.
+    """Optional. If True, /runs routes are removed.
     
     Default is False.
     """
     disable_store: bool
-    """Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
+    """Optional. If True, /store routes are removed, disabling direct store interactions via HTTP.
     
     Default is False.
     """
     disable_mcp: bool
-    """Optional. If `True`, /mcp routes are removed, disabling the MCP server.
+    """Optional. If True, /mcp routes are removed, disabling the MCP server.
     
     Default is False.
     """
@@ -349,18 +349,18 @@ class HttpConfig(TypedDict, total=False):
     
     Default is False.
     """
-    cors: CorsConfig | None
+    cors: Optional[CorsConfig]
     """Optional. Defines CORS restrictions. If omitted, no special rules are set and 
     cross-origin behavior depends on default server settings.
     """
-    configurable_headers: ConfigurableHeaderConfig | None
+    configurable_headers: Optional[ConfigurableHeaderConfig]
     """Optional. Defines how headers are treated for a run's configuration.
 
     You can include or exclude headers as configurable values to condition your
     agent's behavior or permissions on a request's headers."""
-    logging_headers: ConfigurableHeaderConfig | None
+    logging_headers: Optional[ConfigurableHeaderConfig]
     """Optional. Defines which headers are excluded from logging."""
-    middleware_order: MiddlewareOrders | None
+    middleware_order: Optional[MiddlewareOrders]
     """Optional. Defines the order in which to apply server customizations.
 
     Choices:
@@ -372,7 +372,7 @@ class HttpConfig(TypedDict, total=False):
     Default is `middleware_first`.
     """
     enable_custom_route_auth: bool
-    """Optional. If `True`, authentication is enabled for custom routes,
+    """Optional. If True, authentication is enabled for custom routes,
     not just the routes that are protected by default.
     (Routes protected by default include /assistants, /threads, and /runs).
 
@@ -389,42 +389,42 @@ class Config(TypedDict, total=False):
     Must be at least 3.11 or greater for this deployment to function properly.
     """
 
-    node_version: str | None
+    node_version: Optional[str]
     """Optional. Node.js version as a major version (e.g. '20'), if your deployment needs Node.
     Must be >= 20 if provided.
     """
 
-    api_version: str | None
+    api_version: Optional[str]
     """Optional. Which semantic version of the LangGraph API server to use.
     
     Defaults to latest. Check the
     [changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
     for more information."""
 
-    _INTERNAL_docker_tag: str | None
+    _INTERNAL_docker_tag: Optional[str]
     """Optional. Internal use only.
     """
 
-    base_image: str | None
+    base_image: Optional[str]
     """Optional. Base image to use for the LangGraph API server.
     
     Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
 
-    image_distro: Distros | None
+    image_distro: Optional[Distros]
     """Optional. Linux distribution for the base image.
     
     Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
     If omitted, defaults to 'debian' ('latest').
     """
 
-    pip_config_file: str | None
+    pip_config_file: Optional[str]
     """Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
     package installation (custom indices, credentials, etc.).
     
     Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
     """
 
-    pip_installer: str | None
+    pip_installer: Optional[str]
     """Optional. Python package installer to use ('auto', 'pip', 'uv').
     
     - 'auto' (default): Use uv for supported base images, otherwise pip
@@ -469,7 +469,7 @@ class Config(TypedDict, total=False):
         }
     """
 
-    env: dict[str, str] | str
+    env: Union[dict[str, str], str]
     """Optional. Environment variables to set for your deployment.
     
     - If given as a dict, keys are variable names and values are their values.
@@ -481,33 +481,33 @@ class Config(TypedDict, total=False):
         env=".env"
     """
 
-    store: StoreConfig | None
+    store: Optional[StoreConfig]
     """Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
     
     If omitted, no vector index is set up (the object store will still be present, however).
     """
 
-    checkpointer: CheckpointerConfig | None
+    checkpointer: Optional[CheckpointerConfig]
     """Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
     
     If omitted, no checkpointer is set up (the object store will still be present, however).
     """
 
-    auth: AuthConfig | None
+    auth: Optional[AuthConfig]
     """Optional. Custom authentication config, including the path to your Python auth logic and 
     the OpenAPI security definitions it uses.
     """
 
-    http: HttpConfig | None
+    http: Optional[HttpConfig]
     """Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed
     and how cross-origin requests are handled.
     """
 
-    ui: dict[str, str] | None
+    ui: Optional[dict[str, str]]
     """Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.
     """
 
-    keep_pkg_tools: bool | list[str] | None
+    keep_pkg_tools: Optional[Union[bool, list[str]]]
     """Optional. Control whether to retain Python packaging tools in the final image.
     
     Allowed tools are: "pip", "setuptools", "wheel".
@@ -520,7 +520,7 @@ _BUILD_TOOLS = ("pip", "setuptools", "wheel")
 
 def _get_pip_cleanup_lines(
     install_cmd: str,
-    to_uninstall: tuple[str] | None,
+    to_uninstall: Optional[tuple[str]],
     pip_installer: Literal["uv", "pip"],
 ) -> str:
     commands = [
@@ -586,7 +586,7 @@ def _parse_node_version(version_str: str) -> int:
         ) from None
 
 
-def _is_node_graph(spec: str | dict) -> bool:
+def _is_node_graph(spec: Union[str, dict]) -> bool:
     """Check if a graph is a Node.js graph based on the file extension."""
     if isinstance(spec, dict):
         spec = spec.get("path")
@@ -846,7 +846,7 @@ class LocalDeps(NamedTuple):
     real_pkgs: dict[pathlib.Path, tuple[str, str]]
     faux_pkgs: dict[pathlib.Path, tuple[str, str]]
     # if . is in dependencies, use it as working_dir
-    working_dir: str | None = None
+    working_dir: Optional[str] = None
     # if there are local dependencies in parent directories, use additional_contexts
     additional_contexts: list[pathlib.Path] = None
 
@@ -882,7 +882,7 @@ def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps
     pip_reqs = []
     real_pkgs = {}
     faux_pkgs = {}
-    working_dir: str | None = None
+    working_dir: Optional[str] = None
     additional_contexts: list[pathlib.Path] = []
 
     for local_dep in config["dependencies"]:
@@ -1265,7 +1265,7 @@ def python_config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: str,
-    api_version: str | None = None,
+    api_version: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     """Generate a Dockerfile from the configuration."""
     pip_installer = config.get("pip_installer", "auto")
@@ -1434,7 +1434,7 @@ ADD {relpath} /deps/{name}
             echo "Installing $dep"; \
             if [ -d "$dep" ]; then \
                 echo "Installing $dep"; \
-                (cd "$dep" && {global_reqs_pip_install} -e .); \
+                (cd "$dep" && {global_reqs_pip_install} .); \
             fi; \
         done""",
         "# -- End of local dependencies install --",
@@ -1469,10 +1469,10 @@ def node_config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: str,
-    api_version: str | None = None,
-    install_command: str | None = None,
-    build_command: str | None = None,
-    build_context: str | None = None,
+    api_version: Optional[str] = None,
+    install_command: Optional[str] = None,
+    build_command: Optional[str] = None,
+    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     # Calculate paths for monorepo support
     if build_context:
@@ -1562,8 +1562,8 @@ def default_base_image(config: Config) -> str:
 
 def docker_tag(
     config: Config,
-    base_image: str | None = None,
-    api_version: str | None = None,
+    base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
 ) -> str:
     api_version = api_version or config.get("api_version")
     base_image = base_image or default_base_image(config)
@@ -1612,11 +1612,11 @@ def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -
 def config_to_docker(
     config_path: pathlib.Path,
     config: Config,
-    base_image: str | None = None,
-    api_version: str | None = None,
-    install_command: str | None = None,
-    build_command: str | None = None,
-    build_context: str | None = None,
+    base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
+    install_command: Optional[str] = None,
+    build_command: Optional[str] = None,
+    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     base_image = base_image or default_base_image(config)
 
@@ -1637,9 +1637,9 @@ def config_to_docker(
 def config_to_compose(
     config_path: pathlib.Path,
     config: Config,
-    base_image: str | None = None,
-    api_version: str | None = None,
-    image: str | None = None,
+    base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
+    image: Optional[str] = None,
     watch: bool = False,
 ) -> str:
     base_image = base_image or default_base_image(config)

libs/cli/langgraph_cli/docker.py

@@ -1,7 +1,7 @@
 import json
 import pathlib
 import shutil
-from typing import Literal, NamedTuple
+from typing import Literal, NamedTuple, Optional
 
 import click.exceptions
 
@@ -90,7 +90,9 @@ def check_capabilities(runner) -> DockerCapabilities:
     )
 
 
-def debugger_compose(*, port: int | None = None, base_url: str | None = None) -> dict:
+def debugger_compose(
+    *, port: Optional[int] = None, base_url: Optional[str] = None
+) -> dict:
     if port is None:
         return ""
 
@@ -139,16 +141,16 @@ def compose_as_dict(
     capabilities: DockerCapabilities,
     *,
     port: int,
-    debugger_port: int | None = None,
-    debugger_base_url: str | None = None,
+    debugger_port: Optional[int] = None,
+    debugger_base_url: Optional[str] = None,
     # postgres://user:password@host:port/database?option=value
-    postgres_uri: str | None = None,
+    postgres_uri: Optional[str] = None,
     # If you are running against an already-built image, you can pass it here
-    image: str | None = None,
+    image: Optional[str] = None,
     # Base image to use for the LangGraph API server
-    base_image: str | None = None,
+    base_image: Optional[str] = None,
     # API version of the base image
-    api_version: str | None = None,
+    api_version: Optional[str] = None,
 ) -> dict:
     """Create a docker compose file as a dictionary in YML style."""
     if postgres_uri is None:
@@ -248,13 +250,13 @@ def compose(
     capabilities: DockerCapabilities,
     *,
     port: int,
-    debugger_port: int | None = None,
-    debugger_base_url: str | None = None,
+    debugger_port: Optional[int] = None,
+    debugger_base_url: Optional[str] = None,
     # postgres://user:password@host:port/database?option=value
-    postgres_uri: str | None = None,
-    image: str | None = None,
-    base_image: str | None = None,
-    api_version: str | None = None,
+    postgres_uri: Optional[str] = None,
+    image: Optional[str] = None,
+    base_image: Optional[str] = None,
+    api_version: Optional[str] = None,
 ) -> str:
     """Create a docker compose file as a string."""
     compose_content = compose_as_dict(

libs/cli/langgraph_cli/exec.py

@@ -1,9 +1,8 @@
 import asyncio
 import signal
 import sys
-from collections.abc import Callable
 from contextlib import contextmanager
-from typing import cast
+from typing import Callable, Optional, cast
 
 import click.exceptions
 
@@ -31,12 +30,12 @@ def Runner():
 async def subp_exec(
     cmd: str,
     *args: str,
-    input: str | None = None,
-    wait: float | None = None,
+    input: Optional[str] = None,
+    wait: Optional[float] = None,
     verbose: bool = False,
     collect: bool = False,
-    on_stdout: Callable[[str], bool | None] | None = None,
-) -> tuple[str | None, str | None]:
+    on_stdout: Optional[Callable[[str], Optional[bool]]] = None,
+) -> tuple[Optional[str], Optional[str]]:
     if verbose:
         cmd_str = f"+ {cmd} {' '.join(map(str, args))}"
         if input:
@@ -127,8 +126,8 @@ async def monitor_stream(
     stream: asyncio.StreamReader,
     collect: bool = False,
     display: bool = False,
-    on_line: Callable[[str], bool | None] | None = None,
-) -> bytearray | None:
+    on_line: Optional[Callable[[str], Optional[bool]]] = None,
+) -> Optional[bytearray]:
     if collect:
         ba = bytearray()
 

libs/cli/langgraph_cli/progress.py

@@ -1,7 +1,7 @@
 import sys
 import threading
 import time
-from collections.abc import Callable
+from typing import Callable
 
 
 class Progress:

libs/cli/langgraph_cli/templates.py

@@ -2,6 +2,7 @@ import os
 import shutil
 import sys
 from io import BytesIO
+from typing import Optional
 from urllib import error, request
 from zipfile import ZipFile
 
@@ -64,7 +65,7 @@ def _choose_template() -> str:
         click.secho(f" - {template_info['description']}", fg="white")
 
     # Get the template choice from the user, defaulting to the first template if blank
-    template_choice: int | None = click.prompt(
+    template_choice: Optional[int] = click.prompt(
         "Enter the number of your template choice (default is 1)",
         type=int,
         default=1,
@@ -130,7 +131,7 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
         sys.exit(1)
 
 
-def _get_template_url(template_name: str) -> str | None:
+def _get_template_url(template_name: str) -> Optional[str]:
     """
     Retrieves the template URL based on the provided template name.
 
@@ -161,7 +162,7 @@ def _get_template_url(template_name: str) -> str | None:
         return None
 
 
-def create_new(path: str | None, template: str | None) -> None:
+def create_new(path: Optional[str], template: Optional[str]) -> None:
     """Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
 
     Args:

libs/cli/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-cli"
 dynamic = ["version"]
 description = "CLI for interacting with LangGraph API"
 authors = []
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -31,21 +31,15 @@ Repository = "https://www.github.com/langchain-ai/langgraph"
 langgraph = "langgraph_cli.cli:cli"
 
 [dependency-groups]
-test = [
+dev = [
+    "ruff",
+    "codespell",
     "pytest",
     "pytest-asyncio",
     "pytest-mock",
     "pytest-watch",
-    "msgspec",
-]
-lint = [
-    "ruff",
-    "codespell",
     "mypy",
-]
-dev = [
-    {include-group = "test"},
-    {include-group = "lint"},
+    "msgspec",
 ]
 
 [tool.uv]
@@ -65,7 +59,5 @@ lint.select = [
   "UP", # pyupgrade
   "B",  # flake8-bugbear
   "I",  # isort
-  "UP", # pyupgrade
 ]
 lint.ignore = ["E501", "B008"]
-target-version = "py310"

libs/cli/schemas/schema.json

@@ -407,11 +407,11 @@
       "properties": {
         "disable_studio_auth": {
           "type": "boolean",
-          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
+          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If True, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
         },
         "openapi": {
           "$ref": "#/$defs/SecurityConfig",
-          "description": "The security configuration to include in your server's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
+          "description": "Required. Detailed security configuration that merges into your deployment's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
         },
         "path": {
           "type": "string",
@@ -442,7 +442,7 @@
               }
             }
           },
-          "description": "Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
+          "description": "Optional. Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
         },
         "security": {
           "type": "array",
@@ -455,14 +455,14 @@
               }
             }
           },
-          "description": "Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
+          "description": "Optional. Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
         },
         "securitySchemes": {
           "type": "object",
           "additionalProperties": {
             "type": "object"
           },
-          "description": "Describe each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
+          "description": "Required. Dict describing each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
         }
       },
       "required": []
@@ -555,11 +555,11 @@
         },
         "disable_assistants": {
           "type": "boolean",
-          "description": "Optional. If `True`, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
+          "description": "Optional. If True, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
         },
         "disable_mcp": {
           "type": "boolean",
-          "description": "Optional. If `True`, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
+          "description": "Optional. If True, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
         },
         "disable_meta": {
           "type": "boolean",
@@ -567,19 +567,19 @@
         },
         "disable_runs": {
           "type": "boolean",
-          "description": "Optional. If `True`, /runs routes are removed.\n\nDefault is False.\n"
+          "description": "Optional. If True, /runs routes are removed.\n\nDefault is False.\n"
         },
         "disable_store": {
           "type": "boolean",
-          "description": "Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
+          "description": "Optional. If True, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
         },
         "disable_threads": {
           "type": "boolean",
-          "description": "Optional. If `True`, /threads routes are removed.\n\nDefault is False.\n"
+          "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
         },
         "enable_custom_route_auth": {
           "type": "boolean",
-          "description": "Optional. If `True`, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
+          "description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
         },
         "logging_headers": {
           "anyOf": [
@@ -655,7 +655,7 @@
       "properties": {
         "allow_credentials": {
           "type": "boolean",
-          "description": "Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
+          "description": "Optional. If True, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
         },
         "allow_headers": {
           "type": "array",
@@ -774,7 +774,7 @@
         },
         "refresh_on_read": {
           "type": "boolean",
-          "description": "Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).\n\nIf `True`, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting `refresh_ttl`.\nDefaults to `True` if not configured.\n"
+          "description": "Default behavior for refreshing TTLs on read operations (GET and SEARCH).\n\nIf True, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting refresh_ttl.\nDefaults to True if not configured.\n"
         },
         "sweep_interval_minutes": {
           "anyOf": [

libs/cli/schemas/schema.v0.json

@@ -407,11 +407,11 @@
       "properties": {
         "disable_studio_auth": {
           "type": "boolean",
-          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
+          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If True, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
         },
         "openapi": {
           "$ref": "#/$defs/SecurityConfig",
-          "description": "The security configuration to include in your server's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
+          "description": "Required. Detailed security configuration that merges into your deployment's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
         },
         "path": {
           "type": "string",
@@ -442,7 +442,7 @@
               }
             }
           },
-          "description": "Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
+          "description": "Optional. Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
         },
         "security": {
           "type": "array",
@@ -455,14 +455,14 @@
               }
             }
           },
-          "description": "Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
+          "description": "Optional. Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
         },
         "securitySchemes": {
           "type": "object",
           "additionalProperties": {
             "type": "object"
           },
-          "description": "Describe each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
+          "description": "Required. Dict describing each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
         }
       },
       "required": []
@@ -555,11 +555,11 @@
         },
         "disable_assistants": {
           "type": "boolean",
-          "description": "Optional. If `True`, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
+          "description": "Optional. If True, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
         },
         "disable_mcp": {
           "type": "boolean",
-          "description": "Optional. If `True`, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
+          "description": "Optional. If True, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
         },
         "disable_meta": {
           "type": "boolean",
@@ -567,19 +567,19 @@
         },
         "disable_runs": {
           "type": "boolean",
-          "description": "Optional. If `True`, /runs routes are removed.\n\nDefault is False.\n"
+          "description": "Optional. If True, /runs routes are removed.\n\nDefault is False.\n"
         },
         "disable_store": {
           "type": "boolean",
-          "description": "Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
+          "description": "Optional. If True, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
         },
         "disable_threads": {
           "type": "boolean",
-          "description": "Optional. If `True`, /threads routes are removed.\n\nDefault is False.\n"
+          "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
         },
         "enable_custom_route_auth": {
           "type": "boolean",
-          "description": "Optional. If `True`, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
+          "description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
         },
         "logging_headers": {
           "anyOf": [
@@ -655,7 +655,7 @@
       "properties": {
         "allow_credentials": {
           "type": "boolean",
-          "description": "Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
+          "description": "Optional. If True, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
         },
         "allow_headers": {
           "type": "array",
@@ -774,7 +774,7 @@
         },
         "refresh_on_read": {
           "type": "boolean",
-          "description": "Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).\n\nIf `True`, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting `refresh_ttl`.\nDefaults to `True` if not configured.\n"
+          "description": "Default behavior for refreshing TTLs on read operations (GET and SEARCH).\n\nIf True, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting refresh_ttl.\nDefaults to True if not configured.\n"
         },
         "sweep_interval_minutes": {
           "anyOf": [

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

@@ -149,7 +149,7 @@ services:
                 COPY --from=cli_1 . /deps/cli_1
                 # -- End of local package ../../.. --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}

libs/cli/tests/unit_tests/test_config.py

@@ -456,7 +456,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency graphs_reqs_a --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}'
 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
@@ -512,7 +512,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency tests --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
 """
@@ -559,7 +559,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
 """
@@ -621,7 +621,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}\
@@ -657,7 +657,7 @@ dependencies = ["langchain"]"""
 ADD . /deps/unit_tests
 # -- End of local package . --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/unit_tests/graphs/agent.py:graph"}'
 """
@@ -705,7 +705,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}"""
@@ -713,7 +713,7 @@ ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
     assert additional_contexts == {}
 
 
-# node.js build used for LangSmith Deployment
+# node.js build used for LangGraph Platform
 def test_config_to_docker_nodejs():
     graphs = {"agent": "./graphs/agent.js:graph"}
     actual_docker_stdin, additional_contexts = config_to_docker(
@@ -811,7 +811,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}'
 ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}'
@@ -857,7 +857,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
 # -- Installing JS dependencies --
@@ -998,7 +998,7 @@ def test_config_to_compose_simple_config():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1039,7 +1039,7 @@ def test_config_to_compose_env_vars():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1084,7 +1084,7 @@ def test_config_to_compose_env_file():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1122,7 +1122,7 @@ def test_config_to_compose_watch():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1169,7 +1169,7 @@ def test_config_to_compose_end_to_end():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .);             fi;         done
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}

libs/cli/uv.lock

@@ -1,9 +1,10 @@
 version = 1
-revision = 2
-requires-python = ">=3.10"
+revision = 3
+requires-python = ">=3.9"
 resolution-markers = [
     "python_full_version >= '3.11'",
-    "python_full_version < '3.11'",
+    "python_full_version == '3.10.*'",
+    "python_full_version < '3.10'",
 ]
 
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 ]

libs/langgraph/Makefile

@@ -76,7 +76,7 @@ test:
 test_parallel:
 	make start-services &&\
 	make start-dev-server &&\
-	uv run pytest -n auto --dist worksteal $(TEST) -vv --lf; \
+	uv run pytest -n auto --dist worksteal $(TEST) --lf --snapshot-update; \
 	EXIT_CODE=$$?; \
 	make stop-services; \
 	make stop-dev-server; \

libs/langgraph/README.md

@@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s
 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://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — 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://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
+- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — 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://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
 - [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development.
 
 > [!NOTE]

libs/langgraph/bench/pydantic_state.py

@@ -2,7 +2,7 @@ import operator
 from collections.abc import Sequence
 from functools import partial
 from random import choice
-from typing import Annotated
+from typing import Annotated, Optional
 
 from pydantic import BaseModel, Field, field_validator
 
@@ -55,7 +55,7 @@ def pydantic_state(n: int) -> StateGraph:
                 raise TypeError("primary_issue_medium must be a string")
             return v
 
-        autoresponse: Annotated[dict | None, lambda _, y: y] = Field(
+        autoresponse: Annotated[Optional[dict], lambda _, y: y] = Field(
             default=None
         )  # Always overwrite
 
@@ -75,7 +75,7 @@ def pydantic_state(n: int) -> StateGraph:
                 raise TypeError("issue must be a dict or None")
             return v
 
-        relevant_rules: list[dict] | None = Field(default=None)
+        relevant_rules: Optional[list[dict]] = Field(default=None)
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
 
         @field_validator("relevant_rules", mode="after")
@@ -94,7 +94,7 @@ def pydantic_state(n: int) -> StateGraph:
                     )
             return v
 
-        memory_docs: list[dict] | None = Field(default=None)
+        memory_docs: Optional[list[dict]] = Field(default=None)
         """Memory docs fetched from the memory service that are relevant to the current conversation."""
 
         @field_validator("memory_docs", mode="after")
@@ -145,7 +145,7 @@ def pydantic_state(n: int) -> StateGraph:
                     raise TypeError("responses must be a list of dicts with str keys")
             return v
 
-        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
+        user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
             Field(default=None)
         )
         """The current user state (by email)."""
@@ -157,7 +157,7 @@ def pydantic_state(n: int) -> StateGraph:
                 raise TypeError("user_info must be a dict or None")
             return v
 
-        crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
+        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
             Field(default=None)
         )
         """The CRM information for organization the current user is from."""
@@ -170,7 +170,7 @@ def pydantic_state(n: int) -> StateGraph:
             return v
 
         email_thread_id: Annotated[
-            str | None, lambda x, y: y if y is not None else x
+            Optional[str], lambda x, y: y if y is not None else x
         ] = Field(default=None)
         """The current email thread ID."""
 
@@ -194,7 +194,7 @@ def pydantic_state(n: int) -> StateGraph:
                     raise TypeError("slack_participants must be a dict with str keys")
             return v
 
-        bot_id: str | None = Field(default=None)
+        bot_id: Optional[str] = Field(default=None)
         """The ID of the bot user in the slack channel."""
 
         @field_validator("bot_id", mode="after")

libs/langgraph/bench/react_agent.py

@@ -1,4 +1,4 @@
-from typing import Any
+from typing import Any, Optional
 from uuid import uuid4
 
 from langchain_core.callbacks import CallbackManagerForLLMRun
@@ -14,7 +14,7 @@ from langgraph.prebuilt.chat_agent_executor import create_react_agent
 from langgraph.pregel import Pregel
 
 
-def react_agent(n_tools: int, checkpointer: BaseCheckpointSaver | None) -> Pregel:
+def react_agent(n_tools: int, checkpointer: Optional[BaseCheckpointSaver]) -> Pregel:
     class FakeFunctionChatModel(FakeMessagesListChatModel):
         def bind_tools(self, functions: list):
             return self
@@ -22,8 +22,8 @@ def react_agent(n_tools: int, checkpointer: BaseCheckpointSaver | None) -> Prege
         def _generate(
             self,
             messages: list[BaseMessage],
-            stop: list[str] | None = None,
-            run_manager: CallbackManagerForLLMRun | None = None,
+            stop: Optional[list[str]] = None,
+            run_manager: Optional[CallbackManagerForLLMRun] = None,
             **kwargs: Any,
         ) -> ChatResult:
             response = self.responses[self.i].copy()

libs/langgraph/bench/wide_dict.py

@@ -2,7 +2,7 @@ import operator
 from collections.abc import Sequence
 from functools import partial
 from random import choice
-from typing import Annotated
+from typing import Annotated, Optional
 
 from typing_extensions import TypedDict
 
@@ -16,26 +16,28 @@ def wide_dict(n: int) -> StateGraph:
         trigger_events: Annotated[list, operator.add]
         """The external events that are converted by the graph."""
         primary_issue_medium: Annotated[str, lambda x, y: y or x]
-        autoresponse: Annotated[dict | None, lambda _, y: y]  # Always overwrite
+        autoresponse: Annotated[Optional[dict], lambda _, y: y]  # Always overwrite
         issue: Annotated[dict | None, lambda x, y: y if y else x]
-        relevant_rules: list[dict] | None
+        relevant_rules: Optional[list[dict]]
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
-        memory_docs: list[dict] | None
+        memory_docs: Optional[list[dict]]
         """Memory docs fetched from the memory service that are relevant to the current conversation."""
         categorizations: Annotated[list[dict], operator.add]
         """The issue categorizations auto-generated by the AI."""
         responses: Annotated[list[dict], operator.add]
         """The draft responses recommended by the AI."""
 
-        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x]
+        user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x]
         """The current user state (by email)."""
-        crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x]
+        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x]
         """The CRM information for organization the current user is from."""
-        email_thread_id: Annotated[str | None, lambda x, y: y if y is not None else x]
+        email_thread_id: Annotated[
+            Optional[str], lambda x, y: y if y is not None else x
+        ]
         """The current email thread ID."""
         slack_participants: Annotated[dict, operator.or_]
         """The growing list of current slack participants."""
-        bot_id: str | None
+        bot_id: Optional[str]
         """The ID of the bot user in the slack channel."""
         notified_assignees: Annotated[dict, operator.or_]
 

libs/langgraph/bench/wide_state.py

@@ -3,7 +3,7 @@ from collections.abc import Sequence
 from dataclasses import dataclass, field
 from functools import partial
 from random import choice
-from typing import Annotated
+from typing import Annotated, Optional
 
 from langgraph.constants import END, START
 from langgraph.graph.state import StateGraph
@@ -18,13 +18,13 @@ def wide_state(n: int) -> StateGraph:
         primary_issue_medium: Annotated[str, lambda x, y: y or x] = field(
             default="email"
         )
-        autoresponse: Annotated[dict | None, lambda _, y: y] = field(
+        autoresponse: Annotated[Optional[dict], lambda _, y: y] = field(
             default=None
         )  # Always overwrite
         issue: Annotated[dict | None, lambda x, y: y if y else x] = field(default=None)
-        relevant_rules: list[dict] | None = field(default=None)
+        relevant_rules: Optional[list[dict]] = field(default=None)
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
-        memory_docs: list[dict] | None = field(default=None)
+        memory_docs: Optional[list[dict]] = field(default=None)
         """Memory docs fetched from the memory service that are relevant to the current conversation."""
         categorizations: Annotated[list[dict], operator.add] = field(
             default_factory=list
@@ -33,21 +33,21 @@ def wide_state(n: int) -> StateGraph:
         responses: Annotated[list[dict], operator.add] = field(default_factory=list)
         """The draft responses recommended by the AI."""
 
-        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
+        user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
             field(default=None)
         )
         """The current user state (by email)."""
-        crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
+        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
             field(default=None)
         )
         """The CRM information for organization the current user is from."""
         email_thread_id: Annotated[
-            str | None, lambda x, y: y if y is not None else x
+            Optional[str], lambda x, y: y if y is not None else x
         ] = field(default=None)
         """The current email thread ID."""
         slack_participants: Annotated[dict, operator.or_] = field(default_factory=dict)
         """The growing list of current slack participants."""
-        bot_id: str | None = field(default=None)
+        bot_id: Optional[str] = field(default=None)
         """The ID of the bot user in the slack channel."""
         notified_assignees: Annotated[dict, operator.or_] = field(default_factory=dict)
 

libs/langgraph/langgraph/_internal/_config.py

@@ -162,10 +162,14 @@ def patch_config(
     Args:
         config: The config to patch.
         callbacks: The callbacks to set.
+          Defaults to None.
         recursion_limit: The recursion limit to set.
+          Defaults to None.
         max_concurrency: The max number of concurrent steps to run, which also applies to parallelized steps.
-        run_name: The run name to set.
+          Defaults to None.
+        run_name: The run name to set. Defaults to None.
         configurable: The configurable to set.
+          Defaults to None.
 
     Returns:
         RunnableConfig: The patched config.

libs/langgraph/langgraph/_internal/_fields.py

@@ -4,10 +4,10 @@ import dataclasses
 import types
 import weakref
 from collections.abc import Generator, Sequence
-from typing import Annotated, Any, Optional, Union, get_origin, get_type_hints
+from typing import Annotated, Any, Optional, Union, get_type_hints
 
 from pydantic import BaseModel
-from typing_extensions import NotRequired, ReadOnly, Required
+from typing_extensions import NotRequired, ReadOnly, Required, get_origin
 
 from langgraph._internal._typing import MISSING
 
@@ -15,12 +15,6 @@ from langgraph._internal._typing import MISSING
 def _is_optional_type(type_: Any) -> bool:
     """Check if a type is Optional."""
 
-    # Handle new union syntax (PEP 604): str | None
-    if isinstance(type_, types.UnionType):
-        return any(
-            arg is type(None) or _is_optional_type(arg) for arg in type_.__args__
-        )
-
     if hasattr(type_, "__origin__") and hasattr(type_, "__args__"):
         origin = get_origin(type_)
         if origin is Optional:
@@ -201,10 +195,6 @@ def get_cached_annotated_keys(obj: type[Any]) -> tuple[str, ...]:
         keys: list[str] = []
         for base in reversed(obj.__mro__):
             ann = base.__dict__.get("__annotations__")
-            # In Python 3.14+, Pydantic models use descriptors for __annotations__
-            # so we need to fall back to getattr if __dict__.get returns None
-            if ann is None:
-                ann = getattr(base, "__annotations__", None)
             if ann is None or isinstance(ann, types.GetSetDescriptorType):
                 continue
             keys.extend(ann.keys())

libs/langgraph/langgraph/_internal/_future.py

@@ -7,10 +7,10 @@ import inspect
 import sys
 import types
 from collections.abc import Awaitable, Coroutine, Generator
-from typing import TypeVar, cast
+from typing import TypeVar, Union, cast
 
 T = TypeVar("T")
-AnyFuture = asyncio.Future | concurrent.futures.Future
+AnyFuture = Union[asyncio.Future, concurrent.futures.Future]
 
 CONTEXT_NOT_SUPPORTED = sys.version_info < (3, 11)
 EAGER_NOT_SUPPORTED = sys.version_info < (3, 12)

libs/langgraph/langgraph/_internal/_queue.py

@@ -3,11 +3,14 @@ from __future__ import annotations
 
 import asyncio
 import queue
+import sys
 import threading
 import types
 from collections import deque
 from time import monotonic
 
+PY_310 = sys.version_info >= (3, 10)
+
 
 class AsyncQueue(asyncio.Queue):
     """Async unbounded FIFO queue with a wait() method.
@@ -21,7 +24,10 @@ class AsyncQueue(asyncio.Queue):
         ie. this doesn't consume the item, just waits for it.
         """
         while self.empty():
-            getter = self._get_loop().create_future()
+            if PY_310:
+                getter = self._get_loop().create_future()
+            else:
+                getter = self._loop.create_future()
             self._getters.append(getter)
             try:
                 await getter

libs/langgraph/langgraph/_internal/_runnable.py

@@ -8,7 +8,6 @@ import warnings
 from collections.abc import (
     AsyncIterator,
     Awaitable,
-    Callable,
     Coroutine,
     Generator,
     Iterator,
@@ -19,9 +18,10 @@ from contextvars import Context, Token, copy_context
 from functools import partial, wraps
 from typing import (
     Any,
+    Callable,
     Optional,
     Protocol,
-    TypeGuard,
+    Union,
     cast,
 )
 
@@ -42,6 +42,7 @@ from langchain_core.runnables.config import (
 from langchain_core.runnables.utils import Input, Output
 from langchain_core.tracers.langchain import LangChainTracer
 from langgraph.store.base import BaseStore
+from typing_extensions import TypeGuard
 
 from langgraph._internal._config import (
     ensure_config,
@@ -135,7 +136,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
         (
             RunnableConfig,
             "RunnableConfig",
-            Optional[RunnableConfig],  # noqa: UP045
+            Optional[RunnableConfig],
             "Optional[RunnableConfig]",
             inspect.Parameter.empty,
         ),
@@ -162,7 +163,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
     (
         "store",
         (
-            Optional[BaseStore],  # noqa: UP045
+            Optional[BaseStore],
             "Optional[BaseStore]",
         ),
         "store",
@@ -240,15 +241,15 @@ class _RunnableWithConfigWriterStore(Protocol[Input, Output]):
     ) -> Output: ...
 
 
-RunnableLike = (
-    LCRunnableLike
-    | _RunnableWithWriter[Input, Output]
-    | _RunnableWithStore[Input, Output]
-    | _RunnableWithWriterStore[Input, Output]
-    | _RunnableWithConfigWriter[Input, Output]
-    | _RunnableWithConfigStore[Input, Output]
-    | _RunnableWithConfigWriterStore[Input, Output]
-)
+RunnableLike = Union[
+    LCRunnableLike,
+    _RunnableWithWriter[Input, Output],
+    _RunnableWithStore[Input, Output],
+    _RunnableWithWriterStore[Input, Output],
+    _RunnableWithConfigWriter[Input, Output],
+    _RunnableWithConfigStore[Input, Output],
+    _RunnableWithConfigWriterStore[Input, Output],
+]
 
 
 class RunnableCallable(Runnable):
@@ -481,9 +482,9 @@ def is_async_callable(
 ) -> TypeGuard[Callable[..., Awaitable]]:
     """Check if a function is async."""
     return (
-        inspect.iscoroutinefunction(func)
+        asyncio.iscoroutinefunction(func)
         or hasattr(func, "__call__")
-        and inspect.iscoroutinefunction(func.__call__)
+        and asyncio.iscoroutinefunction(func.__call__)
     )
 
 
@@ -533,9 +534,9 @@ def coerce_to_runnable(
 
 
 class RunnableSeq(Runnable):
-    """Sequence of `Runnable`, where the output of each is the input of the next.
+    """Sequence of Runnables, where the output of each is the input of the next.
 
-    `RunnableSeq` is a simpler version of `RunnableSequence` that is internal to
+    RunnableSeq is a simpler version of RunnableSequence that is internal to
     LangGraph.
     """
 
@@ -549,7 +550,7 @@ class RunnableSeq(Runnable):
 
         Args:
             steps: The steps to include in the sequence.
-            name: The name of the `Runnable`.
+            name: The name of the Runnable. Defaults to None.
 
         Raises:
             ValueError: If the sequence has less than 2 steps.

libs/langgraph/langgraph/_internal/_scratchpad.py

@@ -1,6 +1,5 @@
 import dataclasses
-from collections.abc import Callable
-from typing import Any
+from typing import Any, Callable
 
 from langgraph.types import _DC_KWARGS
 

libs/langgraph/langgraph/_internal/_typing.py

@@ -3,10 +3,10 @@
 from __future__ import annotations
 
 from dataclasses import Field
-from typing import Any, ClassVar, Protocol, TypeAlias
+from typing import Any, ClassVar, Protocol, Union
 
 from pydantic import BaseModel
-from typing_extensions import TypedDict
+from typing_extensions import TypeAlias, TypedDict
 
 
 class TypedDictLikeV1(Protocol):
@@ -35,7 +35,7 @@ class DataclassLike(Protocol):
     __dataclass_fields__: ClassVar[dict[str, Field[Any]]]
 
 
-StateLike: TypeAlias = TypedDictLikeV1 | TypedDictLikeV2 | DataclassLike | BaseModel
+StateLike: TypeAlias = Union[TypedDictLikeV1, TypedDictLikeV2, DataclassLike, BaseModel]
 """Type alias for state-like types.
 
 It can either be a `TypedDict`, `dataclass`, or Pydantic `BaseModel`.

libs/langgraph/langgraph/channels/base.py

@@ -39,13 +39,13 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
 
     def copy(self) -> Self:
         """Return a copy of the channel.
-        By default, delegates to `checkpoint()` and `from_checkpoint()`.
+        By default, delegates to checkpoint() and from_checkpoint().
         Subclasses can override this method with a more efficient implementation."""
         return self.from_checkpoint(self.checkpoint())
 
     def checkpoint(self) -> Checkpoint | Any:
         """Return a serializable representation of the channel's current state.
-        Raises `EmptyChannelError` if the channel is empty (never updated yet),
+        Raises EmptyChannelError if the channel is empty (never updated yet),
         or doesn't support checkpoints."""
         try:
             return self.get()
@@ -63,12 +63,12 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
     def get(self) -> Value:
         """Return the current value of the channel.
 
-        Raises `EmptyChannelError` if the channel is empty (never updated yet)."""
+        Raises EmptyChannelError if the channel is empty (never updated yet)."""
 
     def is_available(self) -> bool:
-        """Return `True` if the channel is available (not empty), `False` otherwise.
+        """Return True if the channel is available (not empty), False otherwise.
         Subclasses should override this method to provide a more efficient
-        implementation than calling `get()` and catching `EmptyChannelError`.
+        implementation than calling get() and catching EmptyChannelError.
         """
         try:
             self.get()
@@ -84,15 +84,15 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
         The order of the updates in the sequence is arbitrary.
         This method is called by Pregel for all channels at the end of each step.
         If there are no updates, it is called with an empty sequence.
-        Raises `InvalidUpdateError` if the sequence of updates is invalid.
-        Returns `True` if the channel was updated, `False` otherwise."""
+        Raises InvalidUpdateError if the sequence of updates is invalid.
+        Returns True if the channel was updated, False otherwise."""
 
     def consume(self) -> bool:
         """Notify the channel that a subscribed task ran. By default, no-op.
         A channel can use this method to modify its state, preventing the value
         from being consumed again.
 
-        Returns `True` if the channel was updated, `False` otherwise.
+        Returns True if the channel was updated, False otherwise.
         """
         return False
 
@@ -100,6 +100,6 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
         """Notify the channel that the Pregel run is finishing. By default, no-op.
         A channel can use this method to modify its state, preventing finish.
 
-        Returns `True` if the channel was updated, `False` otherwise.
+        Returns True if the channel was updated, False otherwise.
         """
         return False

libs/langgraph/langgraph/channels/binop.py

@@ -1,6 +1,6 @@
 import collections.abc
-from collections.abc import Callable, Sequence
-from typing import Generic
+from collections.abc import Sequence
+from typing import Callable, Generic
 
 from typing_extensions import NotRequired, Required, Self
 

libs/langgraph/langgraph/channels/topic.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from collections.abc import Iterator, Sequence
-from typing import Any, Generic
+from typing import Any, Generic, Union
 
 from typing_extensions import Self
 
@@ -22,13 +22,13 @@ def _flatten(values: Sequence[Value | list[Value]]) -> Iterator[Value]:
 
 class Topic(
     Generic[Value],
-    BaseChannel[Sequence[Value], Value | list[Value], list[Value]],
+    BaseChannel[Sequence[Value], Union[Value, list[Value]], list[Value]],
 ):
     """A configurable PubSub Topic.
 
     Args:
         typ: The type of the value stored in the channel.
-        accumulate: Whether to accumulate values across steps. If `False`, the channel will be emptied after each step.
+        accumulate: Whether to accumulate values across steps. If False, the channel will be emptied after each step.
     """
 
     __slots__ = ("values", "accumulate")
@@ -51,7 +51,7 @@ class Topic(
     @property
     def UpdateType(self) -> Any:
         """The type of the update received by the channel."""
-        return self.typ | list[self.typ]  # type: ignore[name-defined]
+        return Union[self.typ, list[self.typ]]  # type: ignore[name-defined]
 
     def copy(self) -> Self:
         """Return a copy of the channel."""

libs/langgraph/langgraph/errors.py

@@ -48,9 +48,9 @@ class GraphRecursionError(RecursionError):
     This prevents infinite loops. To increase the maximum number of steps,
     run your graph with a config specifying a higher `recursion_limit`.
 
-    Troubleshooting guides:
+    Troubleshooting Guides:
 
-    - [`GRAPH_RECURSION_LIMIT`](https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT)
+    - [GRAPH_RECURSION_LIMIT](https://python.langchain.com/docs/troubleshooting/errors/GRAPH_RECURSION_LIMIT)
 
     Examples:
 
@@ -68,10 +68,10 @@ class GraphRecursionError(RecursionError):
 class InvalidUpdateError(Exception):
     """Raised when attempting to update a channel with an invalid set of updates.
 
-    Troubleshooting guides:
+    Troubleshooting Guides:
 
-    - [`INVALID_CONCURRENT_GRAPH_UPDATE`](https://docs.langchain.com/oss/python/langgraph/INVALID_CONCURRENT_GRAPH_UPDATE)
-    - [`INVALID_GRAPH_NODE_RETURN_VALUE`](https://docs.langchain.com/oss/python/langgraph/INVALID_GRAPH_NODE_RETURN_VALUE)
+    - [INVALID_CONCURRENT_GRAPH_UPDATE](https://python.langchain.com/docs/troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE)
+    - [INVALID_GRAPH_NODE_RETURN_VALUE](https://python.langchain.com/docs/troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE)
     """
 
     pass
@@ -90,11 +90,14 @@ class GraphInterrupt(GraphBubbleUp):
 
 
 @deprecated(
-    "NodeInterrupt is deprecated. Please use [`interrupt`][langgraph.types.interrupt] instead.",
+    "NodeInterrupt is deprecated. Please use `langgraph.types.interrupt` instead.",
     category=None,
 )
 class NodeInterrupt(GraphInterrupt):
-    """Raised by a node to interrupt execution."""
+    """Raised by a node to interrupt execution.
+
+    Deprecated in V1.0.0 in favor of [`interrupt`][langgraph.types.interrupt].
+    """
 
     def __init__(self, value: Any, id: str | None = None) -> None:
         warn(

libs/langgraph/langgraph/func/__init__.py

@@ -3,10 +3,11 @@ from __future__ import annotations
 import functools
 import inspect
 import warnings
-from collections.abc import Awaitable, Callable, Sequence
+from collections.abc import Awaitable, Sequence
 from dataclasses import dataclass
 from typing import (
     Any,
+    Callable,
     Generic,
     TypeVar,
     cast,
@@ -129,12 +130,12 @@ def task(
         The `task` decorator supports both sync and async functions. To use async
         functions, ensure that you are using Python 3.11 or higher.
 
-    Tasks can only be called from within an [`entrypoint`][langgraph.func.entrypoint] or
-    from within a `StateGraph`. A task can be called like a regular function with the
+    Tasks can only be called from within an [entrypoint][langgraph.func.entrypoint] or
+    from within a StateGraph. A task can be called like a regular function with the
     following differences:
 
     - When a checkpointer is enabled, the function inputs and outputs must be serializable.
-    - The decorated function can only be called from within an entrypoint or `StateGraph`.
+    - The decorated function can only be called from within an entrypoint or StateGraph.
     - Calling the function produces a future. This makes it easy to parallelize tasks.
 
     Args:
@@ -239,11 +240,11 @@ class entrypoint(Generic[ContextT]):
     The decorated function can request access to additional parameters
     that will be injected automatically at run time. These parameters include:
 
-    | Parameter        | Description                                                                                          |
-    |------------------|------------------------------------------------------------------------------------------------------|
-    | **`config`**     | A configuration object (aka `RunnableConfig`) that holds run-time configuration values.              |
-    | **`previous`**   | The previous return value for the given thread (available only when a checkpointer is provided).     |
-    | **`runtime`**    | A `Runtime` object that contains information about the current run, including context, store, writer |
+    | Parameter        | Description                                                                                        |
+    |------------------|----------------------------------------------------------------------------------------------------|
+    | **`config`**     | A configuration object (aka RunnableConfig) that holds run-time configuration values.              |
+    | **`previous`**   | The previous return value for the given thread (available only when a checkpointer is provided).   |
+    | **`runtime`**    | A Runtime object that contains information about the current run, including context, store, writer |                                |
 
     The entrypoint decorator can be applied to sync functions or async functions.
 
@@ -461,11 +462,11 @@ class entrypoint(Generic[ContextT]):
         """
 
         value: R
-        """Value to return. A value will always be returned even if it is `None`."""
+        """Value to return. A value will always be returned even if it is None."""
         save: S
         """The value for the state for the next checkpoint.
 
-        A value will always be saved even if it is `None`.
+        A value will always be saved even if it is None.
         """
 
     def __call__(self, func: Callable[..., Any]) -> Pregel:

libs/langgraph/langgraph/graph/_branch.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from collections.abc import Awaitable, Callable, Hashable, Sequence
+from collections.abc import Awaitable, Hashable, Sequence
 from inspect import (
     isfunction,
     ismethod,
@@ -10,8 +10,10 @@ from itertools import zip_longest
 from types import FunctionType
 from typing import (
     Any,
+    Callable,
     Literal,
     NamedTuple,
+    Union,
     cast,
     get_args,
     get_origin,
@@ -33,8 +35,8 @@ from langgraph.pregel._write import PASSTHROUGH, ChannelWrite, ChannelWriteEntry
 from langgraph.types import Send
 
 _Writer = Callable[
-    [Sequence[str | Send], bool],
-    Sequence[ChannelWriteEntry | Send],
+    [Sequence[Union[str, Send]], bool],
+    Sequence[Union[ChannelWriteEntry, Send]],
 ]
 
 
@@ -203,7 +205,7 @@ class BranchSpec(NamedTuple):
                 r if isinstance(r, Send) else self.ends[r] for r in result
             ]
         else:
-            destinations = cast(Sequence[Send | str], result)
+            destinations = cast(Sequence[Union[Send, str]], result)
         if any(dest is None or dest == START for dest in destinations):
             raise ValueError("Branch did not return a valid destination")
         if any(p.node == END for p in destinations if isinstance(p, Send)):

libs/langgraph/langgraph/graph/_node.py

@@ -1,17 +1,21 @@
 from __future__ import annotations
 
+import sys
 from collections.abc import Sequence
 from dataclasses import dataclass
-from typing import Any, Generic, Protocol, TypeAlias
+from typing import Any, Generic, Protocol, Union
 
 from langchain_core.runnables import Runnable, RunnableConfig
 from langgraph.store.base import BaseStore
+from typing_extensions import TypeAlias
 
 from langgraph._internal._typing import EMPTY_SEQ
 from langgraph.runtime import Runtime
 from langgraph.types import CachePolicy, RetryPolicy, StreamWriter
 from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra
 
+_DC_SLOTS = {"slots": True} if sys.version_info >= (3, 10) else {}
+
 
 class _Node(Protocol[NodeInputT_contra]):
     def __call__(self, state: NodeInputT_contra) -> Any: ...
@@ -67,21 +71,21 @@ class _NodeWithRuntime(Protocol[NodeInputT_contra, ContextT]):
 # TODO: we probably don't want to explicitly support the config / store signatures once
 # we move to adding a context arg. Maybe what we do is we add support for kwargs with param spec
 # this is purely for typing purposes though, so can easily change in the coming weeks.
-StateNode: TypeAlias = (
-    _Node[NodeInputT]
-    | _NodeWithConfig[NodeInputT]
-    | _NodeWithWriter[NodeInputT]
-    | _NodeWithStore[NodeInputT]
-    | _NodeWithWriterStore[NodeInputT]
-    | _NodeWithConfigWriter[NodeInputT]
-    | _NodeWithConfigStore[NodeInputT]
-    | _NodeWithConfigWriterStore[NodeInputT]
-    | _NodeWithRuntime[NodeInputT, ContextT]
-    | Runnable[NodeInputT, Any]
-)
+StateNode: TypeAlias = Union[
+    _Node[NodeInputT],
+    _NodeWithConfig[NodeInputT],
+    _NodeWithWriter[NodeInputT],
+    _NodeWithStore[NodeInputT],
+    _NodeWithWriterStore[NodeInputT],
+    _NodeWithConfigWriter[NodeInputT],
+    _NodeWithConfigStore[NodeInputT],
+    _NodeWithConfigWriterStore[NodeInputT],
+    _NodeWithRuntime[NodeInputT, ContextT],
+    Runnable[NodeInputT, Any],
+]
 
 
-@dataclass(slots=True)
+@dataclass(**_DC_SLOTS)
 class StateNodeSpec(Generic[NodeInputT, ContextT]):
     runnable: StateNode[NodeInputT, ContextT]
     metadata: dict[str, Any] | None

libs/langgraph/langgraph/graph/message.py

@@ -2,12 +2,14 @@ from __future__ import annotations
 
 import uuid
 import warnings
-from collections.abc import Callable, Sequence
+from collections.abc import Sequence
 from functools import partial
 from typing import (
     Annotated,
     Any,
+    Callable,
     Literal,
+    Union,
     cast,
 )
 
@@ -32,7 +34,7 @@ __all__ = (
     "MessageGraph",
 )
 
-Messages = list[MessageLikeRepresentation] | MessageLikeRepresentation
+Messages = Union[list[MessageLikeRepresentation], MessageLikeRepresentation]
 
 REMOVE_ALL_MESSAGES = "__remove_all__"
 
@@ -69,23 +71,23 @@ def add_messages(
     new message has the same ID as an existing message.
 
     Args:
-        left: The base list of `Messages`.
-        right: The list of `Messages` (or single `Message`) to merge
+        left: The base list of messages.
+        right: The list of messages (or single message) to merge
             into the base list.
-        format: The format to return messages in. If `None` then `Messages` will be
-            returned as is. If `langchain-openai` then `Messages` will be returned as
-            `BaseMessage` objects with their contents formatted to match OpenAI message
-            format, meaning contents can be string, `'text'` blocks, or `'image_url'` blocks
-            and tool responses are returned as their own `ToolMessage` objects.
+        format: The format to return messages in. If None then messages will be
+            returned as is. If 'langchain-openai' then messages will be returned as
+            BaseMessage objects with their contents formatted to match OpenAI message
+            format, meaning contents can be string, 'text' blocks, or 'image_url' blocks
+            and tool responses are returned as their own ToolMessages.
 
             !!! important "Requirement"
 
-                Must have `langchain-core>=0.3.11` installed to use this feature.
+                Must have ``langchain-core>=0.3.11`` installed to use this feature.
 
     Returns:
         A new list of messages with the messages from `right` merged into `left`.
         If a message in `right` has the same ID as a message in `left`, the
-            message from `right` will replace the message from `left`.
+        message from `right` will replace the message from `left`.
 
     Example:
         ```python title="Basic usage"
@@ -241,12 +243,15 @@ def add_messages(
 
 
 @deprecated(
-    "MessageGraph is deprecated in langgraph 1.0.0, to be removed in 2.0.0. Please use StateGraph with a `messages` key instead.",
+    "MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
     category=None,
 )
 class MessageGraph(StateGraph):
     """A StateGraph where every node receives a list of messages as input and returns one or more messages as output.
 
+    !!! warning "Deprecation"
+        MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.
+
     MessageGraph is a subclass of StateGraph whose entire state is a single, append-only* list of messages.
     Each node in a MessageGraph takes a list of messages as input and returns zero or more
     messages as output. The `add_messages` function is used to merge the output messages from each node

libs/langgraph/langgraph/graph/state.py

@@ -2,16 +2,17 @@ from __future__ import annotations
 
 import inspect
 import logging
+import sys
 import typing
 import warnings
 from collections import defaultdict
-from collections.abc import Awaitable, Callable, Hashable, Sequence
+from collections.abc import Awaitable, Hashable, Sequence
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
 from types import FunctionType
-from types import NoneType as NoneType
 from typing import (
     Any,
+    Callable,
     Generic,
     Literal,
     Union,
@@ -82,6 +83,11 @@ from langgraph.types import (
 from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
 from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10
 
+if sys.version_info < (3, 10):
+    NoneType = type(None)
+else:
+    from types import NoneType as NoneType
+
 __all__ = ("StateGraph", "CompiledStateGraph")
 
 logger = logging.getLogger(__name__)
@@ -114,12 +120,12 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
     Each state key can optionally be annotated with a reducer function that
     will be used to aggregate the values of that key received from multiple nodes.
-    The signature of a reducer function is `(Value, Value) -> Value`.
+    The signature of a reducer function is (Value, Value) -> Value.
 
     Args:
         state_schema: The schema class that defines the state.
         context_schema: The schema class that defines the runtime context.
-            Use this to expose immutable context data to your nodes, like `user_id`, `db_conn`, etc.
+            Use this to expose immutable context data to your nodes, like user_id, db_conn, etc.
         input_schema: The schema class that defines the input to the graph.
         output_schema: The schema class that defines the output from the graph.
 
@@ -364,22 +370,19 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         Args:
             node: The function or runnable this node will run.
                 If a string is provided, it will be used as the node name, and action will be used as the function or runnable.
-            action: The action associated with the node.
+            action: The action associated with the node. (default: None)
                 Will be used as the node function or runnable if `node` is a string (node name).
             defer: Whether to defer the execution of the node until the run is about to end.
-            metadata: The metadata associated with the node.
+            metadata: The metadata associated with the node. (default: None)
             input_schema: The input schema for the node. (default: the graph's state schema)
-            retry_policy: The retry policy for the node.
+            retry_policy: The retry policy for the node. (default: None)
                 If a sequence is provided, the first matching policy will be applied.
-            cache_policy: The cache policy for the node.
+            cache_policy: The cache policy for the node. (default: None)
             destinations: Destinations that indicate where a node can route to.
                 This is useful for edgeless graphs with nodes that return `Command` objects.
-                If a `dict` is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
-                If a `tuple` is provided, the values will be used as the target node names.
-
-                !!! note
-
-                    This is only used for graph rendering and doesn't have any effect on the graph execution.
+                If a dict is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
+                If a tuple is provided, the values will be used as the target node names.
+                NOTE: this is only used for graph rendering and doesn't have any effect on the graph execution.
 
         Example:
             ```python
@@ -432,7 +435,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 category=LangGraphDeprecatedSinceV05,
             )
             if input_schema is None:
-                input_schema = cast(type[NodeInputT] | None, input_)
+                input_schema = cast(Union[type[NodeInputT], None], input_)
 
         if not isinstance(node, str):
             action = node
@@ -568,7 +571,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             end_key: The key of the end node of the edge.
 
         Raises:
-            ValueError: If the start key is `'END'` or if the start key or end key is not present in the graph.
+            ValueError: If the start key is 'END' or if the start key or end key is not present in the graph.
 
         Returns:
             Self: The instance of the state graph, allowing for method chaining.
@@ -625,15 +628,14 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 exiting this node.
             path: The callable that determines the next
                 node or nodes. If not specifying `path_map` it should return one or
-                more nodes. If it returns `'END'`, the graph will stop execution.
+                more nodes. If it returns END, the graph will stop execution.
             path_map: Optional mapping of paths to node
                 names. If omitted the paths returned by `path` should be node names.
 
         Returns:
             Self: The instance of the graph, allowing for method chaining.
 
-        !!! warning
-            Without type hints on the `path` function's return value (e.g., `-> Literal["foo", "__end__"]:`)
+        Note: Without typehints on the `path` function's return value (e.g., `-> Literal["foo", "__end__"]:`)
             or a path_map, the graph visualization assumes the edge could transition to any node in the graph.
 
         """  # noqa: E501
@@ -667,13 +669,13 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         """Add a sequence of nodes that will be executed in the provided order.
 
         Args:
-            nodes: A sequence of `StateNode` (callables that accept a `state` arg) or `(name, StateNode)` tuples.
-                If no names are provided, the name will be inferred from the node object (e.g. a `Runnable` or a `Callable` name).
+            nodes: A sequence of StateNodes (callables that accept a state arg) or (name, StateNode) tuples.
+                If no names are provided, the name will be inferred from the node object (e.g. a runnable or a callable name).
                 Each node will be executed in the order provided.
 
         Raises:
-            ValueError: If the sequence is empty.
-            ValueError: If the sequence contains duplicate node names.
+            ValueError: if the sequence is empty.
+            ValueError: if the sequence contains duplicate node names.
 
         Returns:
             Self: The instance of the state graph, allowing for method chaining.
@@ -816,10 +818,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
         Args:
             checkpointer: A checkpoint saver object or flag.
-                If provided, this `Checkpointer` serves as a fully versioned "short-term memory" for the graph,
+                If provided, this Checkpointer serves as a fully versioned "short-term memory" for the graph,
                 allowing it to be paused, resumed, and replayed from any point.
-                If `None`, it may inherit the parent graph's checkpointer when used as a subgraph.
-                If `False`, it will not use or inherit any checkpointer.
+                If None, it may inherit the parent graph's checkpointer when used as a subgraph.
+                If False, it will not use or inherit any checkpointer.
             interrupt_before: An optional list of node names to interrupt before.
             interrupt_after: An optional list of node names to interrupt after.
             debug: A flag indicating whether to enable debug mode.