fix(cli): install local deps in editable mode (#6294)

**Description** 

As part of this PR #6156, local deps are no longer installed in editable
mode. This change reverts that behaviour and ensures local packages are
installed in editable mode.

**Issue:** fixes #6288

.github/workflows/_test.yml

@@ -17,7 +17,6 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.9"
           - "3.10"
           - "3.11"
           - "3.12"

.github/workflows/_test_langgraph.yml

@@ -12,7 +12,6 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.9"
           - "3.10"
           - "3.11"
           - "3.12"

.github/workflows/_test_release.yml

@@ -16,7 +16,6 @@ permissions:
 
 jobs:
   build:
-    if: github.ref == 'refs/heads/main'
     runs-on: ubuntu-latest
 
     outputs:

.github/workflows/deploy_docs.yml

@@ -1,12 +1,9 @@
-name: Deploy Docs
+name: Deploy Docs Redirects
 
 on:
   push:
     branches:
       - main
-  pull_request:
-    branches:
-      - main
   workflow_dispatch:
 
 permissions:
@@ -23,18 +20,6 @@ defaults:
     working-directory: docs
 
 jobs:
-  get-changed-files:
-    runs-on: ubuntu-latest
-    outputs:
-      changed-files: ${{ steps.changed-files.outputs.added_modified }}
-    steps:
-      - uses: actions/checkout@v5
-      - name: Get changed files
-        id: changed-files
-        uses: Ana06/get-changed-files@v2.3.0
-        with:
-          filter: "docs/docs/**"
-
   deploy:
     runs-on: ubuntu-latest
     timeout-minutes: 10 # Job will be cancelled if it runs for more than 10 minutes
@@ -62,84 +47,21 @@ jobs:
             uv run pip install "git+https://${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
-        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
+
+      - name: Build site (redirects only)
+        run: make build-docs
         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

@@ -16,7 +16,6 @@ env:
 
 jobs:
   build:
-    if: github.ref == 'refs/heads/main'
     runs-on: ubuntu-latest
 
     outputs:

.github/workflows/uv_lock_ugprade.yml

@@ -22,7 +22,7 @@ jobs:
         uses: astral-sh/setup-uv@v7
         with:
           # use minimum supported Python version
-          python-version: "3.9"
+          python-version: "3.10"
           enable-cache: true
           cache-suffix: "uv-lock-upgrade"
           

docs/_scripts/handle_auto_links.py

@@ -29,7 +29,11 @@ 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.
 
@@ -38,7 +42,7 @@ 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,
@@ -117,7 +121,9 @@ 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
@@ -169,7 +175,7 @@ def _replace_autolinks(markdown: str, file_path: str, *, default_scope: str = "p
                 # 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

@@ -27,66 +27,66 @@ DISABLED = os.getenv("DISABLE_NOTEBOOK_CONVERT") in ("1", "true", "True")
 
 REDIRECT_MAP = {
     # lib redirects
-    "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",
+    "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",
     # graph-api
-    "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",
+    "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",
     # memory how-tos
-    "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",
+    "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",
     # subgraph how-tos
-    "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",
+    "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",
     # persistence how-tos
-    "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",
+    "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",
     # tool calling how-tos
-    "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",
+    "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",
     # multi-agent how-tos
-    "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",
+    "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",
     # cloud redirects
-    "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/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 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",
@@ -94,39 +94,39 @@ REDIRECT_MAP = {
     "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": "concepts/streaming.md",
-    "agents/streaming.md": "how-tos/streaming.md",
+    "cloud/concepts/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
+    "agents/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
     # prebuilt redirects
-    "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",
+    "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",
     # misc
-    "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",
+    "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",
     # deployment redirects
-    "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",
+    "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",
     # assistant redirects
-    "cloud/how-tos/assistant_versioning.md": "cloud/how-tos/configuration_cloud.md",
-    "cloud/concepts/runs.md": "concepts/assistants.md#execution",
+    "cloud/how-tos/assistant_versioning.md": "https://docs.langchain.com/langsmith/configuration-cloud",
+    "cloud/concepts/runs.md": "https://docs.langchain.com/langsmith/assistants#execution",
     # hitl redirects
-    "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",
+    "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",
 
     # LGP mintlify migration redirects
     "tutorials/auth/getting_started.md": "https://docs.langchain.com/langsmith/auth",
@@ -141,7 +141,7 @@ REDIRECT_MAP = {
     "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/langgraph-cli",
+    "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",
@@ -206,6 +206,234 @@ REDIRECT_MAP = {
     "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",
+    "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",
+    "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
+    "additional-resources/index.md": "https://docs.langchain.com/oss/python/langchain/overview",
+    "cloud/concepts/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
+    "cloud/concepts/data_storage_and_privacy.md": "https://docs.langchain.com/langsmith/data-storage-and-privacy",
+    "cloud/concepts/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
+    "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",
+    "cloud/reference/sdk/js_ts_sdk_ref.md": "https://reference.langchain.com/javascript/modules/langsmith.html",
+    "concepts/application_structure.md": "https://docs.langchain.com/langsmith/application-structure",
+    "concepts/assistants.md": "https://docs.langchain.com/langsmith/assistants",
+    "concepts/auth.md": "https://docs.langchain.com/langsmith/auth",
+    "concepts/deployment_options.md": "https://docs.langchain.com/langsmith/deployments",
+    "concepts/double_texting.md": "https://docs.langchain.com/langsmith/double-texting",
+    "concepts/faq.md": "https://docs.langchain.com/langsmith/faq",
+    "concepts/langgraph_cli.md": "https://docs.langchain.com/langsmith/cli",
+    "concepts/langgraph_cloud.md": "https://docs.langchain.com/langsmith/cloud",
+    "concepts/langgraph_components.md": "https://docs.langchain.com/langsmith/components",
+    "concepts/langgraph_control_plane.md": "https://docs.langchain.com/langsmith/control-plane",
+    "concepts/langgraph_data_plane.md": "https://docs.langchain.com/langsmith/data-plane",
+    "concepts/langgraph_platform.md": "https://docs.langchain.com/langsmith/home",
+    "concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/hosting",
+    "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",
+    "concepts/scalability_and_resilience.md": "https://docs.langchain.com/langsmith/scalability-and-resilience",
+    "concepts/sdk.md": "https://docs.langchain.com/langsmith/sdk",
+    "concepts/server-mcp.md": "https://docs.langchain.com/langsmith/server-mcp",
+    "concepts/template_applications.md": "https://docs.langchain.com/oss/python/langgraph/overview",
+    "concepts/why-langgraph.md": "https://docs.langchain.com/oss/python/langgraph/overview",
+    "examples/index.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
+    "guides/index.md": "https://docs.langchain.com/oss/python/langchain/overview",
+    "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",
+    "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",
+    "how-tos/ttl/configure_ttl.md": "https://docs.langchain.com/langsmith/configure-ttl",
+    "how-tos/use-remote-graph.md": "https://docs.langchain.com/langsmith/use-remote-graph",
+    "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",
+    "troubleshooting/studio.md": "https://docs.langchain.com/langsmith/troubleshooting-studio",
+    "tutorials/auth/add_auth_server.md": "https://docs.langchain.com/langsmith/add-auth-server",
+    "tutorials/auth/getting_started.md": "https://docs.langchain.com/langsmith/auth",
+    "tutorials/auth/resource_auth.md": "https://docs.langchain.com/langsmith/resource-auth",
+    "agents/agents.md": "https://docs.langchain.com/oss/python/langchain/agents",
+    "concepts/why-langgraph.md": "https://docs.langchain.com/oss/python/langgraph/overview",
+    "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",
+    "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",
+    "troubleshooting/errors/GRAPH_RECURSION_LIMIT.md": "https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT",
+    "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/MULTIPLE_SUBGRAPHS.md": "https://docs.langchain.com/oss/python/langgraph/MULTIPLE_SUBGRAPHS",
+    "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",
 }
 
 
@@ -560,10 +788,16 @@ 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
@@ -577,15 +811,18 @@ 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(config["site_dir"], old_html_path, page_new)
+            _write_html(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
@@ -607,5 +844,42 @@ def on_post_build(config):
                     else:
                         new_html_path = page_new_before_hash + ".html"
                 new_html_path += hash + suffix
-            
-            _write_html(config["site_dir"], old_html_path, new_html_path)
+
+            _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 server-side catch-all redirect file for Netlify/Cloudflare Pages
+    # This handles any pages not explicitly mapped in REDIRECT_MAP
+    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)

docs/_scripts/third_party_page/get_download_stats.py

@@ -20,16 +20,19 @@ 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."""
 
@@ -72,7 +75,8 @@ 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."""
 
@@ -82,14 +86,18 @@ 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"))
 
@@ -103,7 +111,10 @@ 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] = []
 
@@ -131,7 +142,7 @@ def _get_weekly_downloads(packages: dict[str, list[Package]], fake: bool) -> lis
                 num_downloads = _get_npm_downloads(package)
             else:
                 num_downloads = None
-            
+
             resolved_packages.append(
                 {
                     "name": package["name"],
@@ -145,12 +156,13 @@ def _get_weekly_downloads(packages: dict[str, list[Package]], fake: bool) -> lis
 
     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/concepts/durable_execution.md

@@ -21,12 +21,16 @@ 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
@@ -61,7 +65,7 @@ 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 v0.6.0"
+!!! version-added "Added in version 0.6.0"
 
     Use the `durability` parameter instead of `checkpoint_during` (deprecated in v0.6.0) for persistence policy management:
     
@@ -73,14 +77,16 @@ A higher durability mode add more overhead to the workflow execution.
     * `checkpoint_during=True` -> `durability="async"`
     * `checkpoint_during=False` -> `durability="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:
@@ -310,12 +316,14 @@ 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
@@ -326,6 +334,7 @@ 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
@@ -334,4 +343,5 @@ 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/reference/cache.md

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

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

@@ -149,6 +149,67 @@ 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:
@@ -186,75 +247,6 @@ 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:
@@ -278,35 +270,7 @@ 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
-
-  - 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
-    
+      - RemoteGraph: reference/remote_graph.md 
 
 markdown_extensions:
   - abbr

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

@@ -94,6 +94,7 @@ 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})")
@@ -115,12 +116,12 @@ class PostgresSaver(BasePostgresSaver):
 
         Args:
             config: The config to use for listing the checkpoints.
-            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.
+            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.
 
         Yields:
-            Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
+            An iterator of checkpoint tuples.
 
         Examples:
             >>> from langgraph.checkpoint.postgres import PostgresSaver
@@ -182,7 +183,7 @@ 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.
 
@@ -190,7 +191,7 @@ class PostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
 
         Examples:
 

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

@@ -2,13 +2,12 @@
 
 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 = Union[AsyncConnection[DictRow], AsyncConnectionPool[AsyncConnection[DictRow]]]
+Conn = AsyncConnection[DictRow] | AsyncConnectionPool[AsyncConnection[DictRow]]
 
 
 @asynccontextmanager

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

@@ -2,13 +2,12 @@
 
 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 = Union[Connection[DictRow], ConnectionPool[Connection[DictRow]]]
+Conn = Connection[DictRow] | ConnectionPool[Connection[DictRow]]
 
 
 @contextmanager

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

@@ -99,6 +99,7 @@ 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})")
@@ -121,11 +122,11 @@ 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. Defaults to None.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
+            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"
@@ -169,7 +170,7 @@ 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.
 
@@ -177,7 +178,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
         """
         thread_id = config["configurable"]["thread_id"]
         checkpoint_id = get_checkpoint_id(config)
@@ -444,11 +445,11 @@ 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. Defaults to None.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
+            An iterator of matching checkpoint tuples.
         """
         try:
             # check if we are in the main thread, only bg threads can block
@@ -476,7 +477,7 @@ 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.
 
@@ -484,7 +485,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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

@@ -4,7 +4,7 @@ import random
 import warnings
 from collections.abc import Sequence
 from importlib.metadata import version as get_version
-from typing import Any, Optional, cast
+from typing import Any, cast
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -16,7 +16,7 @@ from langgraph.checkpoint.base import (
 from langgraph.checkpoint.serde.types import TASKS
 from psycopg.types.json import Jsonb
 
-MetadataInput = Optional[dict[str, Any]]
+MetadataInput = dict[str, Any] | None
 
 try:
     major, minor = get_version("langgraph").split(".")[:2]

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, Optional
+from typing import Any
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -151,7 +151,7 @@ def _dump_blobs(
     checkpoint_ns: str,
     values: dict[str, Any],
     versions: ChannelVersions,
-) -> list[tuple[str, str, str, str, Optional[bytes]]]:
+) -> list[tuple[str, str, str, str, bytes | None]]:
     if not versions:
         return []
 
@@ -186,8 +186,8 @@ class ShallowPostgresSaver(BasePostgresSaver):
     def __init__(
         self,
         conn: _internal.Conn,
-        pipe: Optional[Pipeline] = None,
-        serde: Optional[SerializerProtocol] = None,
+        pipe: Pipeline | None = None,
+        serde: SerializerProtocol | None = None,
     ) -> None:
         warnings.warn(
             "ShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
@@ -249,6 +249,7 @@ 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})")
@@ -257,11 +258,11 @@ class ShallowPostgresSaver(BasePostgresSaver):
 
     def list(
         self,
-        config: Optional[RunnableConfig],
+        config: RunnableConfig | None,
         *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
+        filter: dict[str, Any] | None = None,
+        before: RunnableConfig | None = None,
+        limit: int | None = None,
     ) -> Iterator[CheckpointTuple]:
         """List checkpoints from the database.
 
@@ -299,7 +300,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
                     pending_writes=self._load_writes(value["pending_writes"]),
                 )
 
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -309,7 +310,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            The retrieved checkpoint tuple, or None if no matching checkpoint was found.
 
         Examples:
 
@@ -542,8 +543,8 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
     def __init__(
         self,
         conn: _ainternal.Conn,
-        pipe: Optional[AsyncPipeline] = None,
-        serde: Optional[SerializerProtocol] = None,
+        pipe: AsyncPipeline | None = None,
+        serde: SerializerProtocol | None = None,
     ) -> None:
         warnings.warn(
             "AsyncShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
@@ -570,7 +571,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
         conn_string: str,
         *,
         pipeline: bool = False,
-        serde: Optional[SerializerProtocol] = None,
+        serde: SerializerProtocol | None = None,
     ) -> AsyncIterator["AsyncShallowPostgresSaver"]:
         """Create a new AsyncShallowPostgresSaver instance from a connection string.
 
@@ -610,6 +611,7 @@ 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})")
@@ -618,11 +620,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
 
     async def alist(
         self,
-        config: Optional[RunnableConfig],
+        config: RunnableConfig | None,
         *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
+        filter: dict[str, Any] | None = None,
+        before: RunnableConfig | None = None,
+        limit: int | None = None,
     ) -> AsyncIterator[CheckpointTuple]:
         """List checkpoints from the database asynchronously.
 
@@ -662,7 +664,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
                     ),
                 )
 
-    async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+    async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the database asynchronously.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -672,7 +674,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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", "")
@@ -861,11 +863,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
 
     def list(
         self,
-        config: Optional[RunnableConfig],
+        config: RunnableConfig | None,
         *,
-        filter: Optional[dict[str, Any]] = None,
-        before: Optional[RunnableConfig] = None,
-        limit: Optional[int] = None,
+        filter: dict[str, Any] | None = None,
+        before: RunnableConfig | None = None,
+        limit: int | None = None,
     ) -> Iterator[CheckpointTuple]:
         """List checkpoints from the database.
 
@@ -883,7 +885,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             except StopAsyncIteration:
                 break
 
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
+    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the database.
 
         This method retrieves a checkpoint tuple from the Postgres database based on the
@@ -893,7 +895,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
             config: The config to use for retrieving the checkpoint.
 
         Returns:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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, Iterable, Sequence
+from collections.abc import AsyncIterator, Callable, Iterable, Sequence
 from contextlib import asynccontextmanager
 from types import TracebackType
-from typing import Any, Callable, cast
+from typing import Any, 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,
@@ -465,7 +465,9 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
                     query,
                     [
                         p
-                        for (ns, k, pathname, _), vector in zip(txt_params, vectors)
+                        for (ns, k, pathname, _), vector in zip(
+                            txt_params, vectors, strict=False
+                        )
                         for p in (ns, k, pathname, vector)
                     ],
                 )
@@ -486,13 +488,13 @@ 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):
+            for (idx, _), vector in zip(embedding_requests, vectors, strict=False):
                 _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):
+        for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
             await cur.execute(query, params)
             rows = cast(list[Row], await cur.fetchall())
             items = [
@@ -510,7 +512,7 @@ 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):
+        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
             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

@@ -6,18 +6,16 @@ import json
 import logging
 import threading
 from collections import defaultdict
-from collections.abc import Iterable, Iterator, Sequence
+from collections.abc import Callable, Iterable, Iterator, Sequence
 from contextlib import contextmanager
 from datetime import datetime
 from typing import (
     TYPE_CHECKING,
     Any,
-    Callable,
     Generic,
     Literal,
     NamedTuple,
     TypeVar,
-    Union,
     cast,
 )
 
@@ -141,7 +139,7 @@ CREATE INDEX CONCURRENTLY IF NOT EXISTS store_vectors_embedding_idx ON store_vec
 ]
 
 
-C = TypeVar("C", bound=Union[_pg_internal.Conn, _ainternal.Conn])
+C = TypeVar("C", bound=_pg_internal.Conn | _ainternal.Conn)
 
 
 class PoolConfig(TypedDict, total=False):
@@ -255,7 +253,7 @@ class BasePostgresStore(Generic[C]):
 
         results = []
         for namespace, items in namespace_groups.items():
-            _, keys = zip(*items)
+            _, keys = zip(*items, strict=False)
             this_refresh_ttls = refresh_ttls[namespace]
 
             query = """
@@ -868,7 +866,7 @@ 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,
@@ -1014,7 +1012,9 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
                     query,
                     [
                         p
-                        for (ns, k, pathname, _), vector in zip(txt_params, vectors)
+                        for (ns, k, pathname, _), vector in zip(
+                            txt_params, vectors, strict=False
+                        )
                         for p in (ns, k, pathname, vector)
                     ],
                 )
@@ -1035,13 +1035,15 @@ 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):
+            for (idx, _), embedding in zip(
+                embedding_requests, embeddings, strict=False
+            ):
                 _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):
+        for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
             cur.execute(query, params)
             rows = cast(list[Row], cur.fetchall())
             results[idx] = [
@@ -1058,7 +1060,7 @@ 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
+            self._get_batch_list_namespaces_queries(list_ops), list_ops, strict=False
         ):
             cur.execute(query, params)
             results[idx] = [_decode_ns_bytes(row["truncated_prefix"]) for row in cur]

libs/checkpoint-postgres/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-checkpoint-postgres"
 version = "2.0.25"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -55,8 +55,10 @@ 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_store.py

@@ -3,7 +3,6 @@ from __future__ import annotations
 
 import asyncio
 import itertools
-import sys
 import uuid
 from collections.abc import AsyncIterator
 from concurrent.futures import ThreadPoolExecutor
@@ -34,9 +33,6 @@ 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])
@@ -358,8 +354,6 @@ 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))
+        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
         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))
+        similarity = sum(a * b for a, b in zip(X, y, strict=False))
         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)) ** 0.5
+        similarity = sum((a - b) ** 2 for a, b in zip(X, y, strict=False)) ** 0.5
         similarities.append(-similarity)
 
     return similarities

libs/checkpoint-postgres/uv.lock

@@ -1,6 +1,6 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 
 [[package]]
 name = "annotated-types"
@@ -105,17 +105,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/72/2a/aff5dd112b2f14bcc3462c312dce5445806bfc8ab3a7328555da95330e4b/charset_normalizer-3.4.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d716a916938e03231e86e43782ca7878fb602a125a91e7acb8b5112e2e96ac16", size = 152224, upload-time = "2025-08-09T07:56:51.369Z" },
     { url = "https://files.pythonhosted.org/packages/b7/8c/9839225320046ed279c6e839d51f028342eb77c91c89b8ef2549f951f3ec/charset_normalizer-3.4.3-cp314-cp314-win32.whl", hash = "sha256:c6dbd0ccdda3a2ba7c2ecd9d77b37f3b5831687d8dc1b6ca5f56a4880cc7b7ce", size = 100086, upload-time = "2025-08-09T07:56:52.722Z" },
     { 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" },
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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:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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. 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.
+            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.
 
         Yields:
-            Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
+            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, Iterator, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
 from contextlib import asynccontextmanager
-from typing import Any, Callable, TypeVar, cast
+from typing import Any, 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:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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. Defaults to None.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
+            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:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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. Defaults to None.
+            before: If provided, only checkpoints before the specified checkpoint ID are returned.
             limit: Maximum number of checkpoints to return.
 
         Yields:
-            AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
+            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, Iterable, Sequence
+from collections.abc import AsyncIterator, Callable, Iterable, Sequence
 from contextlib import asynccontextmanager
 from types import TracebackType
-from typing import Any, Callable, cast
+from typing import Any, 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):
+            for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
                 vector_params.extend(
                     [ns, k, pathname, sqlite_vec.serialize_float32(vector)]
                 )
@@ -517,7 +517,9 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                 [query for _, query in embedding_requests]
             )
 
-            for (embed_req_idx, _), embedding in zip(embedding_requests, vectors):
+            for (embed_req_idx, _), embedding in zip(
+                embedding_requests, vectors, strict=False
+            ):
                 # 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):
@@ -531,7 +533,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                     )
 
         for (original_op_idx, _), (query, params, needs_refresh) in zip(
-            search_ops, prepared_queries
+            search_ops, prepared_queries, strict=False
         ):
             await cur.execute(query, params)
             rows = await cur.fetchall()
@@ -614,7 +616,7 @@ 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):
+        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
             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 Iterable, Iterator, Sequence
+from collections.abc import Callable, Iterable, Iterator, Sequence
 from contextlib import contextmanager
-from typing import Any, Callable, Literal, NamedTuple, cast
+from typing import Any, 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)
+            _, keys = zip(*items, strict=False)
             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)
+            _, keys = zip(*items, strict=False)
             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):
+            for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
                 vector_params.extend(
                     [ns, k, pathname, sqlite_vec.serialize_float32(vector)]
                 )
@@ -1332,7 +1332,9 @@ class SqliteStore(BaseSqliteStore, BaseStore):
             )
 
             # Replace placeholders with actual embeddings
-            for (embed_req_idx, _), embedding in zip(embedding_requests, embeddings):
+            for (embed_req_idx, _), embedding in zip(
+                embedding_requests, embeddings, strict=False
+            ):
                 if embed_req_idx < len(prepared_queries):
                     _params_list: list = prepared_queries[embed_req_idx][1]
                     for i, param in enumerate(_params_list):
@@ -1344,7 +1346,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
                     )
 
         for (original_op_idx, _), (query, params, needs_refresh) in zip(
-            search_ops, prepared_queries
+            search_ops, prepared_queries, strict=False
         ):
             cur.execute(query, params)
             rows = cur.fetchall()
@@ -1417,7 +1419,7 @@ 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):
+        for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
             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 = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -53,8 +53,10 @@ 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 Optional, Union, cast
+from typing import 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: Optional[list[str]] = None,
+    text_fields: list[str] | None = 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[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
+        cast(Iterable[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[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
+        cast(Iterable[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):
+        for ns, item in zip(test_namespaces, test_items, strict=False):
             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, Optional, Union, cast
+from typing import Any, Literal, 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: Optional[list[str]] = None,
+    text_fields: list[str] | None = 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[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
+        cast(Iterable[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[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
+        cast(Iterable[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[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
+        cast(Iterable[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))
+        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
         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):
+        for ns, item in zip(test_namespaces, test_items, strict=False):
             key = f"item_{ns[-1]}"
             store.put(ns, key, item)
 

libs/checkpoint-sqlite/uv.lock

@@ -1,6 +1,6 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 
 [[package]]
 name = "aiosqlite"
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libs/checkpoint/langgraph/checkpoint/base/__init__.py

@@ -8,7 +8,6 @@ from typing import (  # noqa: UP035
     NamedTuple,
     TypedDict,
     TypeVar,
-    Union,
 )
 
 from langchain_core.runnables import RunnableConfig
@@ -35,17 +34,17 @@ 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.
@@ -54,7 +53,7 @@ class CheckpointMetadata(TypedDict, total=False):
     """
 
 
-ChannelVersions = dict[str, Union[str, int, float]]
+ChannelVersions = dict[str, str | int | float]
 
 
 class Checkpoint(TypedDict):
@@ -148,7 +147,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            Optional[Checkpoint]: The requested checkpoint, or None if not found.
+            The requested checkpoint, or `None` if not found.
         """
         if value := self.get_tuple(config):
             return value.checkpoint
@@ -160,7 +159,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            Optional[CheckpointTuple]: The requested checkpoint tuple, or None if not found.
+            The requested checkpoint tuple, or `None` if not found.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.
@@ -184,7 +183,7 @@ class BaseCheckpointSaver(Generic[V]):
             limit: Maximum number of checkpoints to return.
 
         Returns:
-            Iterator[CheckpointTuple]: Iterator of matching checkpoint tuples.
+            Iterator of matching checkpoint tuples.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.
@@ -252,7 +251,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            Optional[Checkpoint]: The requested checkpoint, or None if not found.
+            The requested checkpoint, or `None` if not found.
         """
         if value := await self.aget_tuple(config):
             return value.checkpoint
@@ -264,7 +263,7 @@ class BaseCheckpointSaver(Generic[V]):
             config: Configuration specifying which checkpoint to retrieve.
 
         Returns:
-            Optional[CheckpointTuple]: The requested checkpoint tuple, or None if not found.
+            The requested checkpoint tuple, or `None` if not found.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.
@@ -288,7 +287,7 @@ class BaseCheckpointSaver(Generic[V]):
             limit: Maximum number of checkpoints to return.
 
         Returns:
-            AsyncIterator[CheckpointTuple]: Async iterator of matching checkpoint tuples.
+            Async iterator of matching checkpoint tuples.
 
         Raises:
             NotImplementedError: Implement this method in your custom checkpoint saver.

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

@@ -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:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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:
-            Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
+            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:
-            Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
+            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:
-            AsyncIterator[CheckpointTuple]: An asynchronous iterator of checkpoint tuples.
+            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/jsonplus.py

@@ -9,7 +9,7 @@ import pickle
 import re
 import sys
 from collections import deque
-from collections.abc import Sequence
+from collections.abc import Callable, 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, Callable, cast
+from typing import Any, cast
 from uuid import UUID
 from zoneinfo import ZoneInfo
 

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

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

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

@@ -19,7 +19,6 @@ from typing import (
     Literal,
     NamedTuple,
     TypedDict,
-    Union,
     cast,
 )
 
@@ -57,7 +56,7 @@ 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.
     """
@@ -249,12 +248,12 @@ 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:
@@ -302,7 +301,7 @@ class SearchOp(NamedTuple):
 
 
 # Type representing a namespace path that can include wildcards
-NamespacePath = tuple[Union[str, Literal["*"]], ...]
+NamespacePath = tuple[str | Literal["*"], ...]
 """A tuple representing a namespace path that can include wildcards.
 
 ???+ example "Examples"
@@ -480,12 +479,12 @@ class PutOp(NamedTuple):
     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)
@@ -509,12 +508,12 @@ 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 = Union[GetOp, SearchOp, PutOp, ListNamespacesOp]
-Result = Union[Item, list[Item], list[SearchItem], list[tuple[str, ...]], None]
+Op = GetOp | SearchOp | PutOp | ListNamespacesOp
+Result = Item | list[Item] | list[SearchItem] | list[tuple[str, ...]] | None
 
 
 class InvalidNamespaceError(ValueError):
@@ -525,18 +524,18 @@ 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.
@@ -550,20 +549,20 @@ 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
@@ -571,12 +570,12 @@ class IndexConfig(TypedDict, total=False):
     
     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")
+        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
@@ -589,7 +588,7 @@ 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
@@ -611,7 +610,7 @@ 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
@@ -639,10 +638,10 @@ 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
@@ -667,7 +666,7 @@ 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"`)
     """
 
 
@@ -732,11 +731,11 @@ 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 (default), uses the store's default refresh_ttl setting.
+                If `None`, 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))]
@@ -966,7 +965,7 @@ 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(
@@ -1000,7 +999,7 @@ 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 (default), uses the store's TTLConfig.refresh_default setting.
+                If `None`, uses the store's TTLConfig.refresh_default setting.
                 If TTLConfig is not provided or no TTL is specified, this argument is ignored.
 
         Returns:

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 Iterable
-from typing import Any, Callable, Literal, TypeVar
+from collections.abc import Callable, Iterable
+from typing import Any, 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):
+                    for fut, result in zip(futs, results, strict=False):
                         # 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, Sequence
-from typing import Any, Callable
+from collections.abc import Awaitable, Callable, Sequence
+from typing import Any
 
 from langchain_core.embeddings import Embeddings
 

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))
+                queryinmem_store = dict(zip(queries, results, strict=False))
 
         return queryinmem_store
 
@@ -323,7 +323,9 @@ class InMemoryStore(BaseStore):
 
                 scores = _cosine_similarity(query_embedding, flat_vectors)
                 sorted_results = sorted(
-                    zip(scores, flat_items), key=lambda x: x[0], reverse=True
+                    zip(scores, flat_items, strict=False),
+                    key=lambda x: x[0],
+                    reverse=True,
                 )
                 # max pooling
                 seen: set[tuple[tuple[str, ...], str]] = set()
@@ -452,7 +454,7 @@ 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):
+        for embedding, (ns, key, path) in zip(embeddings, indices, strict=False):
             self._vectors[ns][key][path] = embedding
 
     def _handle_list_namespaces(self, op: ListNamespacesOp) -> list[tuple[str, ...]]:
@@ -511,7 +513,7 @@ 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))
+        dot_product = sum(a * b for a, b in zip(X, y, strict=False))
         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
@@ -529,14 +531,14 @@ 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):
+        for k_elem, p_elem in zip(key, path, strict=False):
             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)):
+        for k_elem, p_elem in zip(reversed(key), reversed(path), strict=False):
             if p_elem == "*":
                 continue  # Wildcard matches any element
             if k_elem != p_elem:
@@ -563,7 +565,10 @@ 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))
+            and all(
+                _compare_values(iv, fv)
+                for iv, fv in zip(item_value, filter_value, strict=False)
+            )
         )
     else:
         return item_value == filter_value

libs/checkpoint/pyproject.toml

@@ -7,7 +7,7 @@ name = "langgraph-checkpoint"
 version = "2.1.2"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -49,8 +49,10 @@ 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

@@ -60,22 +60,15 @@ class MyDataclass:
         pass
 
 
-if sys.version_info < (3, 10):
+@dataclasses.dataclass(slots=True)
+class MyDataclassWSlots:
+    foo: str
+    bar: int
+    inner: InnerDataclass
 
-    class MyDataclassWSlots(MyDataclass):
+    def something(self) -> None:
         pass
 
-else:
-
-    @dataclasses.dataclass(slots=True)
-    class MyDataclassWSlots:
-        foo: str
-        bar: int
-        inner: InnerDataclass
-
-        def something(self) -> None:
-            pass
-
 
 class MyEnum(Enum):
     FOO = "foo"

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):
+    for results, (query, filter_) in zip(all_results, search_queries, strict=False):
         assert len(results) > 0, f"No results for query '{query}' with filter {filter_}"
 
         for result in results:

libs/checkpoint/uv.lock

@@ -1,11 +1,10 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.12'",
     "python_full_version == '3.11.*'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version < '3.11'",
 ]
 
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@@ -285,12 +273,10 @@ dev = [
     { name = "codespell" },
     { name = "dataclasses-json" },
     { name = "mypy" },
-    { 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 = "2.2.6", 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", 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 = "pandas-stubs" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
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libs/cli/examples/graphs/storm.py

@@ -1,6 +1,6 @@
 import asyncio
 import json
-from typing import Annotated, Optional
+from typing import Annotated
 
 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: Optional[list[Subsection]] = Field(
+    subsections: list[Subsection] | None = 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[Optional[dict], update_references]
-    editor: Annotated[Optional[Editor], update_editor]
+    references: Annotated[dict | None, update_references]
+    editor: Annotated[Editor | None, 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: Optional[RunnableConfig] = None,
+    config: RunnableConfig | None = 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: Optional[list[Subsection]] = Field(
+    subsections: list[Subsection] | None = 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 = ">=3.9"
+requires-python = ">=3.10"
 dependencies = [
     "langgraph-cli",
     "langgraph-sdk",

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.3"
+__version__ = "0.4.4"

libs/cli/langgraph_cli/cli.py

@@ -4,8 +4,7 @@ import os
 import pathlib
 import shutil
 import sys
-from collections.abc import Sequence
-from typing import Callable, Optional
+from collections.abc import Callable, Sequence
 
 import click
 import click.exceptions
@@ -200,19 +199,19 @@ def cli():
 @log_command
 def up(
     config: pathlib.Path,
-    docker_compose: Optional[pathlib.Path],
+    docker_compose: pathlib.Path | None,
     port: int,
     recreate: bool,
     pull: bool,
     watch: bool,
     wait: bool,
     verbose: bool,
-    debugger_port: Optional[int],
-    debugger_base_url: Optional[str],
-    postgres_uri: Optional[str],
-    api_version: Optional[str],
-    image: Optional[str],
-    base_image: Optional[str],
+    debugger_port: int | None,
+    debugger_base_url: str | None,
+    postgres_uri: str | None,
+    api_version: str | None,
+    image: str | None,
+    base_image: str | None,
 ):
     click.secho("Starting LangGraph API server...", fg="green")
     click.secho(
@@ -298,13 +297,13 @@ def _build(
     set: Callable[[str], None],
     config: pathlib.Path,
     config_json: dict,
-    base_image: Optional[str],
-    api_version: Optional[str],
+    base_image: str | None,
+    api_version: str | None,
     pull: bool,
     tag: str,
     passthrough: Sequence[str] = (),
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
+    install_command: str | None = None,
+    build_command: str | None = None,
 ):
     # pull latest images
     if pull:
@@ -403,12 +402,12 @@ def _build(
 def build(
     config: pathlib.Path,
     docker_build_args: Sequence[str],
-    base_image: Optional[str],
-    api_version: Optional[str],
+    base_image: str | None,
+    api_version: str | None,
     pull: bool,
     tag: str,
-    install_command: Optional[str],
-    build_command: Optional[str],
+    install_command: str | None,
+    build_command: str | None,
 ):
     with Runner() as runner, Progress(message="Pulling...") as set:
         if shutil.which("docker") is None:
@@ -512,8 +511,8 @@ def dockerfile(
     save_path: str,
     config: pathlib.Path,
     add_docker_compose: bool,
-    base_image: Optional[str] = None,
-    api_version: Optional[str] = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
 ) -> None:
     save_path = pathlib.Path(save_path).absolute()
     secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
@@ -688,11 +687,11 @@ def dev(
     port: int,
     no_reload: bool,
     config: str,
-    n_jobs_per_worker: Optional[int],
+    n_jobs_per_worker: int | None,
     no_browser: bool,
-    debug_port: Optional[int],
+    debug_port: int | None,
     wait_for_client: bool,
-    studio_url: Optional[str],
+    studio_url: str | None,
     allow_blocking: bool,
     tunnel: bool,
     server_log_level: str,
@@ -776,7 +775,7 @@ def dev(
 )
 @cli.command("new", help="🌱 Create a new LangGraph project from a template.")
 @log_command
-def new(path: Optional[str], template: Optional[str]) -> None:
+def new(path: str | None, template: str | None) -> None:
     """Create a new LangGraph project from a template."""
     return create_new(path, template)
 
@@ -786,17 +785,17 @@ def prepare_args_and_stdin(
     capabilities: DockerCapabilities,
     config_path: pathlib.Path,
     config: Config,
-    docker_compose: Optional[pathlib.Path],
+    docker_compose: pathlib.Path | None,
     port: int,
     watch: bool,
-    debugger_port: Optional[int] = None,
-    debugger_base_url: Optional[str] = None,
-    postgres_uri: Optional[str] = None,
-    api_version: Optional[str] = None,
+    debugger_port: int | None = None,
+    debugger_base_url: str | None = None,
+    postgres_uri: str | None = None,
+    api_version: str | None = None,
     # Like "my-tag" (if you already built it locally)
-    image: Optional[str] = None,
+    image: str | None = None,
     # Like "langchain/langgraphjs-api" or "langchain/langgraph-api
-    base_image: Optional[str] = None,
+    base_image: str | None = None,
 ) -> tuple[list[str], str]:
     assert config_path.exists(), f"Config file not found: {config_path}"
     # prepare args
@@ -835,17 +834,17 @@ def prepare(
     *,
     capabilities: DockerCapabilities,
     config_path: pathlib.Path,
-    docker_compose: Optional[pathlib.Path],
+    docker_compose: pathlib.Path | None,
     port: int,
     pull: bool,
     watch: bool,
     verbose: bool,
-    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,
+    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,
 ) -> 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, Optional, TypedDict, Union
+from typing import Any, Literal, NamedTuple, TypedDict
 
 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: Optional[float]
+    default_ttl: float | None
     """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: Optional[int]
+    sweep_interval_minutes: int | None
     """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: Optional[list[str]]
+    fields: list[str] | None
     """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: Optional[IndexConfig]
+    index: IndexConfig | None
     """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: Optional[TTLConfig]
+    ttl: TTLConfig | None
     """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: Optional[float]
+    default_ttl: float | None
     """Default TTL (time-to-live) in minutes for checkpointed data."""
-    sweep_interval_minutes: Optional[int]
+    sweep_interval_minutes: int | None
     """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: Optional[ThreadTTLConfig]
+    ttl: ThreadTTLConfig | None
     """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]]
-    """Required. Dict describing each security scheme recognized by your OpenAPI spec.
+    """Describe 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]]]
-    """Optional. Global security requirements across all endpoints.
+    """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]]]]]
-    """Optional. Path-specific security overrides.
+    """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
-    """Required. Detailed security configuration that merges into your deployment's OpenAPI spec.
+    """The security configuration to include in your server'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: Optional[list[str]]
+    includes: list[str] | None
     """Headers to include (if not also matches against an 'exludes' pattern.
 
     Examples:
         - 'user-agent'
         - 'x-configurable-*'
     """
-    excludes: Optional[list[str]]
+    excludes: list[str] | None
     """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: Optional[CorsConfig]
+    cors: CorsConfig | None
     """Optional. Defines CORS restrictions. If omitted, no special rules are set and 
     cross-origin behavior depends on default server settings.
     """
-    configurable_headers: Optional[ConfigurableHeaderConfig]
+    configurable_headers: ConfigurableHeaderConfig | None
     """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: Optional[ConfigurableHeaderConfig]
+    logging_headers: ConfigurableHeaderConfig | None
     """Optional. Defines which headers are excluded from logging."""
-    middleware_order: Optional[MiddlewareOrders]
+    middleware_order: MiddlewareOrders | None
     """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: Optional[str]
+    node_version: str | None
     """Optional. Node.js version as a major version (e.g. '20'), if your deployment needs Node.
     Must be >= 20 if provided.
     """
 
-    api_version: Optional[str]
+    api_version: str | None
     """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: Optional[str]
+    _INTERNAL_docker_tag: str | None
     """Optional. Internal use only.
     """
 
-    base_image: Optional[str]
+    base_image: str | None
     """Optional. Base image to use for the LangGraph API server.
     
     Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
 
-    image_distro: Optional[Distros]
+    image_distro: Distros | None
     """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: Optional[str]
+    pip_config_file: str | None
     """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: Optional[str]
+    pip_installer: str | None
     """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: Union[dict[str, str], str]
+    env: 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: Optional[StoreConfig]
+    store: StoreConfig | None
     """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: Optional[CheckpointerConfig]
+    checkpointer: CheckpointerConfig | None
     """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: Optional[AuthConfig]
+    auth: AuthConfig | None
     """Optional. Custom authentication config, including the path to your Python auth logic and 
     the OpenAPI security definitions it uses.
     """
 
-    http: Optional[HttpConfig]
+    http: HttpConfig | None
     """Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed
     and how cross-origin requests are handled.
     """
 
-    ui: Optional[dict[str, str]]
+    ui: dict[str, str] | None
     """Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.
     """
 
-    keep_pkg_tools: Optional[Union[bool, list[str]]]
+    keep_pkg_tools: bool | list[str] | None
     """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: Optional[tuple[str]],
+    to_uninstall: tuple[str] | None,
     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: Union[str, dict]) -> bool:
+def _is_node_graph(spec: str | dict) -> bool:
     """Check if a graph is a Node.js graph based on the file extension."""
     if isinstance(spec, dict):
         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: Optional[str] = None
+    working_dir: str | None = 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: Optional[str] = None
+    working_dir: str | None = 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: Optional[str] = None,
+    api_version: str | None = 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} .); \
+                (cd "$dep" && {global_reqs_pip_install} -e .); \
             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: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
+    api_version: str | None = None,
+    install_command: str | None = None,
+    build_command: str | None = None,
+    build_context: str | None = 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: Optional[str] = None,
-    api_version: Optional[str] = None,
+    base_image: str | None = None,
+    api_version: str | None = 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: Optional[str] = None,
-    api_version: Optional[str] = None,
-    install_command: Optional[str] = None,
-    build_command: Optional[str] = None,
-    build_context: Optional[str] = None,
+    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,
 ) -> 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: Optional[str] = None,
-    api_version: Optional[str] = None,
-    image: Optional[str] = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
+    image: str | None = 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, Optional
+from typing import Literal, NamedTuple
 
 import click.exceptions
 
@@ -90,9 +90,7 @@ def check_capabilities(runner) -> DockerCapabilities:
     )
 
 
-def debugger_compose(
-    *, port: Optional[int] = None, base_url: Optional[str] = None
-) -> dict:
+def debugger_compose(*, port: int | None = None, base_url: str | None = None) -> dict:
     if port is None:
         return ""
 
@@ -141,16 +139,16 @@ def compose_as_dict(
     capabilities: DockerCapabilities,
     *,
     port: int,
-    debugger_port: Optional[int] = None,
-    debugger_base_url: Optional[str] = None,
+    debugger_port: int | None = None,
+    debugger_base_url: str | None = None,
     # postgres://user:password@host:port/database?option=value
-    postgres_uri: Optional[str] = None,
+    postgres_uri: str | None = None,
     # If you are running against an already-built image, you can pass it here
-    image: Optional[str] = None,
+    image: str | None = None,
     # Base image to use for the LangGraph API server
-    base_image: Optional[str] = None,
+    base_image: str | None = None,
     # API version of the base image
-    api_version: Optional[str] = None,
+    api_version: str | None = None,
 ) -> dict:
     """Create a docker compose file as a dictionary in YML style."""
     if postgres_uri is None:
@@ -250,13 +248,13 @@ def compose(
     capabilities: DockerCapabilities,
     *,
     port: int,
-    debugger_port: Optional[int] = None,
-    debugger_base_url: Optional[str] = None,
+    debugger_port: int | None = None,
+    debugger_base_url: str | None = None,
     # postgres://user:password@host:port/database?option=value
-    postgres_uri: Optional[str] = None,
-    image: Optional[str] = None,
-    base_image: Optional[str] = None,
-    api_version: Optional[str] = None,
+    postgres_uri: str | None = None,
+    image: str | None = None,
+    base_image: str | None = None,
+    api_version: str | None = None,
 ) -> str:
     """Create a docker compose file as a string."""
     compose_content = compose_as_dict(

libs/cli/langgraph_cli/exec.py

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

libs/cli/langgraph_cli/progress.py

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

libs/cli/langgraph_cli/templates.py

@@ -2,7 +2,6 @@ import os
 import shutil
 import sys
 from io import BytesIO
-from typing import Optional
 from urllib import error, request
 from zipfile import ZipFile
 
@@ -65,7 +64,7 @@ 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: Optional[int] = click.prompt(
+    template_choice: int | None = click.prompt(
         "Enter the number of your template choice (default is 1)",
         type=int,
         default=1,
@@ -131,7 +130,7 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
         sys.exit(1)
 
 
-def _get_template_url(template_name: str) -> Optional[str]:
+def _get_template_url(template_name: str) -> str | None:
     """
     Retrieves the template URL based on the provided template name.
 
@@ -162,7 +161,7 @@ def _get_template_url(template_name: str) -> Optional[str]:
         return None
 
 
-def create_new(path: Optional[str], template: Optional[str]) -> None:
+def create_new(path: str | None, template: str | None) -> 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 = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -59,5 +59,7 @@ 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": "Required. Detailed security configuration that merges into your deployment's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
+          "description": "The security configuration to include in your server's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
         },
         "path": {
           "type": "string",
@@ -442,7 +442,7 @@
               }
             }
           },
-          "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"
+          "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"
         },
         "security": {
           "type": "array",
@@ -455,14 +455,14 @@
               }
             }
           },
-          "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\"])."
+          "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\"])."
         },
         "securitySchemes": {
           "type": "object",
           "additionalProperties": {
             "type": "object"
           },
-          "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."
+          "description": "Describe 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": "Required. Detailed security configuration that merges into your deployment's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
+          "description": "The security configuration to include in your server's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
         },
         "path": {
           "type": "string",
@@ -442,7 +442,7 @@
               }
             }
           },
-          "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"
+          "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"
         },
         "security": {
           "type": "array",
@@ -455,14 +455,14 @@
               }
             }
           },
-          "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\"])."
+          "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\"])."
         },
         "securitySchemes": {
           "type": "object",
           "additionalProperties": {
             "type": "object"
           },
-          "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."
+          "description": "Describe 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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}"""
@@ -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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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 .);             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 -e .);             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

@@ -1,10 +1,9 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.11'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version < '3.11'",
 ]
 
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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) --lf --snapshot-update; \
+	uv run pytest -n auto --dist worksteal $(TEST) -vv --lf; \
 	EXIT_CODE=$$?; \
 	make stop-services; \
 	make stop-dev-server; \

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, Optional
+from typing import Annotated
 
 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[Optional[dict], lambda _, y: y] = Field(
+        autoresponse: Annotated[dict | None, 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: Optional[list[dict]] = Field(default=None)
+        relevant_rules: list[dict] | None = 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: Optional[list[dict]] = Field(default=None)
+        memory_docs: list[dict] | None = 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[Optional[dict], lambda x, y: y if y is not None else x] = (
+        user_info: Annotated[dict | None, 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[Optional[dict], lambda x, y: y if y is not None else x] = (
+        crm_info: Annotated[dict | None, 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[
-            Optional[str], lambda x, y: y if y is not None else x
+            str | None, 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: Optional[str] = Field(default=None)
+        bot_id: str | None = 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, Optional
+from typing import Any
 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: Optional[BaseCheckpointSaver]) -> Pregel:
+def react_agent(n_tools: int, checkpointer: BaseCheckpointSaver | None) -> Pregel:
     class FakeFunctionChatModel(FakeMessagesListChatModel):
         def bind_tools(self, functions: list):
             return self
@@ -22,8 +22,8 @@ def react_agent(n_tools: int, checkpointer: Optional[BaseCheckpointSaver]) -> Pr
         def _generate(
             self,
             messages: list[BaseMessage],
-            stop: Optional[list[str]] = None,
-            run_manager: Optional[CallbackManagerForLLMRun] = None,
+            stop: list[str] | None = None,
+            run_manager: CallbackManagerForLLMRun | None = 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, Optional
+from typing import Annotated
 
 from typing_extensions import TypedDict
 
@@ -16,28 +16,26 @@ 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[Optional[dict], lambda _, y: y]  # Always overwrite
+        autoresponse: Annotated[dict | None, lambda _, y: y]  # Always overwrite
         issue: Annotated[dict | None, lambda x, y: y if y else x]
-        relevant_rules: Optional[list[dict]]
+        relevant_rules: list[dict] | None
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
-        memory_docs: Optional[list[dict]]
+        memory_docs: list[dict] | None
         """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[Optional[dict], lambda x, y: y if y is not None else x]
+        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x]
         """The current user state (by email)."""
-        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x]
+        crm_info: Annotated[dict | None, 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[
-            Optional[str], lambda x, y: y if y is not None else x
-        ]
+        email_thread_id: Annotated[str | None, 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: Optional[str]
+        bot_id: str | None
         """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, Optional
+from typing import Annotated
 
 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[Optional[dict], lambda _, y: y] = field(
+        autoresponse: Annotated[dict | None, 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: Optional[list[dict]] = field(default=None)
+        relevant_rules: list[dict] | None = field(default=None)
         """SOPs fetched from the rulebook that are relevant to the current conversation."""
-        memory_docs: Optional[list[dict]] = field(default=None)
+        memory_docs: list[dict] | None = 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[Optional[dict], lambda x, y: y if y is not None else x] = (
+        user_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
             field(default=None)
         )
         """The current user state (by email)."""
-        crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
+        crm_info: Annotated[dict | None, 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[
-            Optional[str], lambda x, y: y if y is not None else x
+            str | None, 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: Optional[str] = field(default=None)
+        bot_id: str | None = 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

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from collections import ChainMap
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
 from os import getenv
 from typing import Any, cast
 
@@ -162,14 +162,10 @@ 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.
-          Defaults to None.
-        run_name: The run name to set. Defaults to None.
+        run_name: The run name to set.
         configurable: The configurable to set.
-          Defaults to None.
 
     Returns:
         RunnableConfig: The patched config.
@@ -312,11 +308,22 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
         for k, v in config.items():
             if _is_not_empty(v) and k not in CONFIG_KEYS:
                 empty[CONF][k] = v
+    _empty_metadata = empty["metadata"]
     for key, value in empty[CONF].items():
-        if (
-            not key.startswith("__")
-            and isinstance(value, (str, int, float, bool))
-            and key not in empty["metadata"]
-        ):
-            empty["metadata"][key] = value
+        if _exclude_as_metadata(key, value, _empty_metadata):
+            continue
+        _empty_metadata[key] = value
     return empty
+
+
+_OMIT = ("key", "token", "secret", "password", "auth")
+
+
+def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
+    key_lower = key.casefold()
+    return (
+        key.startswith("__")
+        or not isinstance(value, (str, int, float, bool))
+        or key in metadata
+        or any(substr in key_lower for substr in _OMIT)
+    )

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_type_hints
+from typing import Annotated, Any, Optional, Union, get_origin, get_type_hints
 
 from pydantic import BaseModel
-from typing_extensions import NotRequired, ReadOnly, Required, get_origin
+from typing_extensions import NotRequired, ReadOnly, Required
 
 from langgraph._internal._typing import MISSING
 
@@ -15,6 +15,12 @@ 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:

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, Union, cast
+from typing import TypeVar, cast
 
 T = TypeVar("T")
-AnyFuture = Union[asyncio.Future, concurrent.futures.Future]
+AnyFuture = 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

@@ -3,14 +3,11 @@ 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.
@@ -24,10 +21,7 @@ class AsyncQueue(asyncio.Queue):
         ie. this doesn't consume the item, just waits for it.
         """
         while self.empty():
-            if PY_310:
-                getter = self._get_loop().create_future()
-            else:
-                getter = self._loop.create_future()
+            getter = self._get_loop().create_future()
             self._getters.append(getter)
             try:
                 await getter

libs/langgraph/langgraph/_internal/_runnable.py

@@ -8,6 +8,7 @@ import warnings
 from collections.abc import (
     AsyncIterator,
     Awaitable,
+    Callable,
     Coroutine,
     Generator,
     Iterator,
@@ -18,10 +19,9 @@ from contextvars import Context, Token, copy_context
 from functools import partial, wraps
 from typing import (
     Any,
-    Callable,
     Optional,
     Protocol,
-    Union,
+    TypeGuard,
     cast,
 )
 
@@ -42,7 +42,6 @@ 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,
@@ -136,7 +135,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
         (
             RunnableConfig,
             "RunnableConfig",
-            Optional[RunnableConfig],
+            Optional[RunnableConfig],  # noqa: UP045
             "Optional[RunnableConfig]",
             inspect.Parameter.empty,
         ),
@@ -163,7 +162,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
     (
         "store",
         (
-            Optional[BaseStore],
+            Optional[BaseStore],  # noqa: UP045
             "Optional[BaseStore]",
         ),
         "store",
@@ -241,15 +240,15 @@ class _RunnableWithConfigWriterStore(Protocol[Input, Output]):
     ) -> Output: ...
 
 
-RunnableLike = Union[
-    LCRunnableLike,
-    _RunnableWithWriter[Input, Output],
-    _RunnableWithStore[Input, Output],
-    _RunnableWithWriterStore[Input, Output],
-    _RunnableWithConfigWriter[Input, Output],
-    _RunnableWithConfigStore[Input, Output],
-    _RunnableWithConfigWriterStore[Input, Output],
-]
+RunnableLike = (
+    LCRunnableLike
+    | _RunnableWithWriter[Input, Output]
+    | _RunnableWithStore[Input, Output]
+    | _RunnableWithWriterStore[Input, Output]
+    | _RunnableWithConfigWriter[Input, Output]
+    | _RunnableWithConfigStore[Input, Output]
+    | _RunnableWithConfigWriterStore[Input, Output]
+)
 
 
 class RunnableCallable(Runnable):
@@ -534,9 +533,9 @@ def coerce_to_runnable(
 
 
 class RunnableSeq(Runnable):
-    """Sequence of Runnables, where the output of each is the input of the next.
+    """Sequence of `Runnable`, 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.
     """
 
@@ -550,7 +549,7 @@ class RunnableSeq(Runnable):
 
         Args:
             steps: The steps to include in the sequence.
-            name: The name of the Runnable. Defaults to None.
+            name: The name of the `Runnable`.
 
         Raises:
             ValueError: If the sequence has less than 2 steps.

libs/langgraph/langgraph/_internal/_scratchpad.py

@@ -1,5 +1,6 @@
 import dataclasses
-from typing import Any, Callable
+from collections.abc import Callable
+from typing import Any
 
 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, Union
+from typing import Any, ClassVar, Protocol, TypeAlias
 
 from pydantic import BaseModel
-from typing_extensions import TypeAlias, TypedDict
+from typing_extensions import TypedDict
 
 
 class TypedDictLikeV1(Protocol):
@@ -35,7 +35,7 @@ class DataclassLike(Protocol):
     __dataclass_fields__: ClassVar[dict[str, Field[Any]]]
 
 
-StateLike: TypeAlias = Union[TypedDictLikeV1, TypedDictLikeV2, DataclassLike, BaseModel]
+StateLike: TypeAlias = 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 Sequence
-from typing import Callable, Generic
+from collections.abc import Callable, Sequence
+from typing import 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, Union
+from typing import Any, Generic
 
 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], Union[Value, list[Value]], list[Value]],
+    BaseChannel[Sequence[Value], 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 Union[self.typ, list[self.typ]]  # type: ignore[name-defined]
+        return self.typ | list[self.typ]  # type: ignore[name-defined]
 
     def copy(self) -> Self:
         """Return a copy of the channel."""

libs/langgraph/langgraph/errors.py

@@ -50,7 +50,7 @@ class GraphRecursionError(RecursionError):
 
     Troubleshooting Guides:
 
-    - [GRAPH_RECURSION_LIMIT](https://python.langchain.com/docs/troubleshooting/errors/GRAPH_RECURSION_LIMIT)
+    - [GRAPH_RECURSION_LIMIT](https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT)
 
     Examples:
 
@@ -70,8 +70,8 @@ class InvalidUpdateError(Exception):
 
     Troubleshooting Guides:
 
-    - [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)
+    - [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)
     """
 
     pass
@@ -90,14 +90,11 @@ class GraphInterrupt(GraphBubbleUp):
 
 
 @deprecated(
-    "NodeInterrupt is deprecated. Please use `langgraph.types.interrupt` instead.",
+    "NodeInterrupt is deprecated. Please use [`interrupt`][langgraph.types.interrupt] instead.",
     category=None,
 )
 class NodeInterrupt(GraphInterrupt):
-    """Raised by a node to interrupt execution.
-
-    Deprecated in V1.0.0 in favor of [`interrupt`][langgraph.types.interrupt].
-    """
+    """Raised by a node to interrupt execution."""
 
     def __init__(self, value: Any, id: str | None = None) -> None:
         warn(

libs/langgraph/langgraph/func/__init__.py

@@ -3,11 +3,10 @@ from __future__ import annotations
 import functools
 import inspect
 import warnings
-from collections.abc import Awaitable, Sequence
+from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import dataclass
 from typing import (
     Any,
-    Callable,
     Generic,
     TypeVar,
     cast,
@@ -130,12 +129,12 @@ 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:
@@ -240,11 +239,11 @@ 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.
 
@@ -462,11 +461,11 @@ 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, Hashable, Sequence
+from collections.abc import Awaitable, Callable, Hashable, Sequence
 from inspect import (
     isfunction,
     ismethod,
@@ -10,10 +10,8 @@ from itertools import zip_longest
 from types import FunctionType
 from typing import (
     Any,
-    Callable,
     Literal,
     NamedTuple,
-    Union,
     cast,
     get_args,
     get_origin,
@@ -35,8 +33,8 @@ from langgraph.pregel._write import PASSTHROUGH, ChannelWrite, ChannelWriteEntry
 from langgraph.types import Send
 
 _Writer = Callable[
-    [Sequence[Union[str, Send]], bool],
-    Sequence[Union[ChannelWriteEntry, Send]],
+    [Sequence[str | Send], bool],
+    Sequence[ChannelWriteEntry | Send],
 ]
 
 
@@ -205,7 +203,7 @@ class BranchSpec(NamedTuple):
                 r if isinstance(r, Send) else self.ends[r] for r in result
             ]
         else:
-            destinations = cast(Sequence[Union[Send, str]], result)
+            destinations = cast(Sequence[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

@@ -1,21 +1,17 @@
 from __future__ import annotations
 
-import sys
 from collections.abc import Sequence
 from dataclasses import dataclass
-from typing import Any, Generic, Protocol, Union
+from typing import Any, Generic, Protocol, TypeAlias
 
 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: ...
@@ -71,21 +67,21 @@ 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 = Union[
-    _Node[NodeInputT],
-    _NodeWithConfig[NodeInputT],
-    _NodeWithWriter[NodeInputT],
-    _NodeWithStore[NodeInputT],
-    _NodeWithWriterStore[NodeInputT],
-    _NodeWithConfigWriter[NodeInputT],
-    _NodeWithConfigStore[NodeInputT],
-    _NodeWithConfigWriterStore[NodeInputT],
-    _NodeWithRuntime[NodeInputT, ContextT],
-    Runnable[NodeInputT, Any],
-]
+StateNode: TypeAlias = (
+    _Node[NodeInputT]
+    | _NodeWithConfig[NodeInputT]
+    | _NodeWithWriter[NodeInputT]
+    | _NodeWithStore[NodeInputT]
+    | _NodeWithWriterStore[NodeInputT]
+    | _NodeWithConfigWriter[NodeInputT]
+    | _NodeWithConfigStore[NodeInputT]
+    | _NodeWithConfigWriterStore[NodeInputT]
+    | _NodeWithRuntime[NodeInputT, ContextT]
+    | Runnable[NodeInputT, Any]
+)
 
 
-@dataclass(**_DC_SLOTS)
+@dataclass(slots=True)
 class StateNodeSpec(Generic[NodeInputT, ContextT]):
     runnable: StateNode[NodeInputT, ContextT]
     metadata: dict[str, Any] | None

libs/langgraph/langgraph/graph/message.py

@@ -2,14 +2,12 @@ from __future__ import annotations
 
 import uuid
 import warnings
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from functools import partial
 from typing import (
     Annotated,
     Any,
-    Callable,
     Literal,
-    Union,
     cast,
 )
 
@@ -34,7 +32,7 @@ __all__ = (
     "MessageGraph",
 )
 
-Messages = Union[list[MessageLikeRepresentation], MessageLikeRepresentation]
+Messages = list[MessageLikeRepresentation] | MessageLikeRepresentation
 
 REMOVE_ALL_MESSAGES = "__remove_all__"
 
@@ -74,15 +72,15 @@ def add_messages(
         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 ToolMessages.
+        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.
 
             !!! 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`.
@@ -243,15 +241,12 @@ def add_messages(
 
 
 @deprecated(
-    "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 deprecated in langgraph 1.0.0, to be removed in 2.0.0. 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

@@ -2,17 +2,16 @@ from __future__ import annotations
 
 import inspect
 import logging
-import sys
 import typing
 import warnings
 from collections import defaultdict
-from collections.abc import Awaitable, Hashable, Sequence
+from collections.abc import Awaitable, Callable, 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,
@@ -83,11 +82,6 @@ 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__)
@@ -125,7 +119,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
     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.
 
@@ -370,19 +364,21 @@ 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. (default: None)
+            action: The action associated with the node.
                 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. (default: None)
+            metadata: The metadata associated with the node.
             input_schema: The input schema for the node. (default: the graph's state schema)
-            retry_policy: The retry policy for the node. (default: None)
+            retry_policy: The retry policy for the node.
                 If a sequence is provided, the first matching policy will be applied.
-            cache_policy: The cache policy for the node. (default: None)
+            cache_policy: The cache policy for the node.
             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.
+
+                !!! note
+                    This is only used for graph rendering and doesn't have any effect on the graph execution.
 
         Example:
             ```python
@@ -435,7 +431,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 category=LangGraphDeprecatedSinceV05,
             )
             if input_schema is None:
-                input_schema = cast(Union[type[NodeInputT], None], input_)
+                input_schema = cast(type[NodeInputT] | None, input_)
 
         if not isinstance(node, str):
             action = node
@@ -571,7 +567,7 @@ 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.
@@ -628,14 +624,15 @@ 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.
 
-        Note: Without typehints on the `path` function's return value (e.g., `-> Literal["foo", "__end__"]:`)
+        !!! warning
+            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
@@ -669,13 +666,13 @@ 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 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).
+            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).
                 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.
@@ -818,10 +815,10 @@ 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.

libs/langgraph/langgraph/graph/ui.py

@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from typing import Any, Literal, Union, cast
+from typing import Any, Literal, cast
 from uuid import uuid4
 
 from langchain_core.messages import AnyMessage
@@ -55,7 +55,7 @@ class RemoveUIMessage(TypedDict):
     id: str
 
 
-AnyUIMessage = Union[UIMessage, RemoveUIMessage]
+AnyUIMessage = UIMessage | RemoveUIMessage
 
 
 def push_ui_message(

libs/langgraph/langgraph/managed/base.py

@@ -3,11 +3,10 @@ from inspect import isclass
 from typing import (
     Any,
     Generic,
+    TypeGuard,
     TypeVar,
 )
 
-from typing_extensions import TypeGuard
-
 from langgraph._internal._scratchpad import PregelScratchpad
 
 V = TypeVar("V")

libs/langgraph/langgraph/pregel/_algo.py

@@ -5,16 +5,14 @@ import itertools
 import sys
 import threading
 from collections import defaultdict, deque
-from collections.abc import Iterable, Mapping, Sequence
+from collections.abc import Callable, Iterable, Mapping, Sequence
 from copy import copy
 from functools import partial
 from hashlib import sha1
 from typing import (
     Any,
-    Callable,
     Literal,
     NamedTuple,
-    Optional,
     Protocol,
     cast,
     overload,
@@ -82,7 +80,7 @@ from langgraph.types import (
     Send,
 )
 
-GetNextVersion = Callable[[Optional[V], None], V]
+GetNextVersion = Callable[[V | None, None], V]
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
 
 
@@ -392,11 +390,11 @@ def prepare_next_tasks(
         processes: The mapping of process names to PregelNode instances.
         channels: The mapping of channel names to BaseChannel instances.
         managed: The mapping of managed value names to functions.
-        config: The runnable configuration.
+        config: The `Runnable` configuration.
         step: The current step.
         for_execution: Whether the tasks are being prepared for execution.
         store: An instance of BaseStore to make it available for usage within tasks.
-        checkpointer: Checkpointer instance used for saving checkpoints.
+        checkpointer: `Checkpointer` instance used for saving checkpoints.
         manager: The parent run manager to use for the tasks.
         trigger_to_nodes: Optional: Mapping of channel names to the set of nodes
             that are can be triggered by that channel.
@@ -415,7 +413,7 @@ def prepare_next_tasks(
     null_version = checkpoint_null_version(checkpoint)
     tasks: list[PregelTask | PregelExecutableTask] = []
     # Consume pending tasks
-    tasks_channel = cast(Optional[Topic[Send]], channels.get(TASKS))
+    tasks_channel = cast(Topic[Send] | None, channels.get(TASKS))
     if tasks_channel and tasks_channel.is_available():
         for idx, _ in enumerate(tasks_channel.get()):
             if task := prepare_single_task(

libs/langgraph/langgraph/pregel/_call.py

@@ -7,8 +7,8 @@ import functools
 import inspect
 import sys
 import types
-from collections.abc import Awaitable, Generator, Sequence
-from typing import Any, Callable, Generic, TypeVar, cast
+from collections.abc import Awaitable, Callable, Generator, Sequence
+from typing import Any, Generic, TypeVar, cast
 
 from langchain_core.runnables import Runnable
 from typing_extensions import ParamSpec

libs/langgraph/langgraph/pregel/_executor.py

@@ -3,12 +3,11 @@ from __future__ import annotations
 import asyncio
 import concurrent.futures
 import time
-from collections.abc import Awaitable, Coroutine
+from collections.abc import Awaitable, Callable, Coroutine
 from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
 from contextvars import copy_context
 from types import TracebackType
 from typing import (
-    Callable,
     Protocol,
     TypeVar,
     cast,

libs/langgraph/langgraph/pregel/_loop.py

@@ -4,7 +4,7 @@ import asyncio
 import binascii
 import concurrent.futures
 from collections import defaultdict, deque
-from collections.abc import Iterator, Mapping, Sequence
+from collections.abc import Callable, Iterator, Mapping, Sequence
 from contextlib import (
     AbstractAsyncContextManager,
     AbstractContextManager,
@@ -16,9 +16,7 @@ from inspect import signature
 from types import TracebackType
 from typing import (
     Any,
-    Callable,
     Literal,
-    Optional,
     TypeVar,
     cast,
 )
@@ -404,7 +402,7 @@ class PregelLoop:
         checkpoint_id_bytes = binascii.unhexlify(self.checkpoint["id"].replace("-", ""))
         null_version = checkpoint_null_version(self.checkpoint)
         if pushed := cast(
-            Optional[PregelExecutableTask],
+            PregelExecutableTask | None,
             prepare_single_task(
                 (PUSH, task.path, write_idx, task.id, call),
                 None,

libs/langgraph/langgraph/pregel/_messages.py

@@ -1,9 +1,8 @@
 from __future__ import annotations
 
-from collections.abc import AsyncIterator, Iterator, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
 from typing import (
     Any,
-    Callable,
     TypeVar,
     cast,
 )

libs/langgraph/langgraph/pregel/_read.py

@@ -1,11 +1,9 @@
 from __future__ import annotations
 
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
 from functools import cached_property
 from typing import (
     Any,
-    Callable,
-    Union,
 )
 
 from langchain_core.runnables import Runnable, RunnableConfig
@@ -18,7 +16,7 @@ from langgraph.pregel._write import ChannelWrite
 from langgraph.pregel.protocol import PregelProtocol
 from langgraph.types import CachePolicy, RetryPolicy
 
-READ_TYPE = Callable[[Union[str, Sequence[str]], bool], Union[Any, dict[str, Any]]]
+READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
 INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
 
 

libs/langgraph/langgraph/pregel/_retry.py

@@ -5,9 +5,9 @@ import logging
 import random
 import sys
 import time
-from collections.abc import Awaitable, Sequence
+from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import replace
-from typing import Any, Callable
+from typing import Any
 
 from langgraph._internal._config import patch_configurable
 from langgraph._internal._constants import (

libs/langgraph/langgraph/pregel/_runner.py

@@ -5,15 +5,19 @@ import concurrent.futures
 import threading
 import time
 import weakref
-from collections.abc import AsyncIterator, Awaitable, Iterable, Iterator, Sequence
+from collections.abc import (
+    AsyncIterator,
+    Awaitable,
+    Callable,
+    Iterable,
+    Iterator,
+    Sequence,
+)
 from functools import partial
 from typing import (
     Any,
-    Callable,
     Generic,
-    Optional,
     TypeVar,
-    Union,
     cast,
 )
 
@@ -63,7 +67,7 @@ SKIP_RERAISE_SET: weakref.WeakSet[concurrent.futures.Future | asyncio.Future] =
 )
 
 
-class FuturesDict(Generic[F, E], dict[F, Optional[PregelExecutableTask]]):
+class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
     event: E
     callback: weakref.ref[Callable[[PregelExecutableTask, BaseException | None], None]]
     counter: int
@@ -602,7 +606,7 @@ def _call(
             # so we should not re-raise at the end of the tick
             SKIP_RERAISE_SET.add(fut)
             futures()[fut] = next_task  # type: ignore[index]
-    fut = cast(Union[asyncio.Future, concurrent.futures.Future], fut)
+    fut = cast(asyncio.Future | concurrent.futures.Future, fut)
     # return a chained future to ensure commit() callback is called
     # before the returned future is resolved, to ensure stream order etc
     return chain_future(fut, concurrent.futures.Future())

libs/langgraph/langgraph/pregel/_utils.py

@@ -4,7 +4,8 @@ import ast
 import inspect
 import re
 import textwrap
-from typing import Any, Callable
+from collections.abc import Callable
+from typing import Any
 
 from langchain_core.runnables import Runnable, RunnableLambda, RunnableSequence
 from langgraph.checkpoint.base import ChannelVersions

libs/langgraph/langgraph/pregel/_write.py

@@ -1,13 +1,10 @@
 from __future__ import annotations
 
-from collections.abc import Sequence
+from collections.abc import Callable, Sequence
 from typing import (
     Any,
-    Callable,
     NamedTuple,
-    Optional,
     TypeVar,
-    Union,
     cast,
 )
 
@@ -67,7 +64,7 @@ class ChannelWrite(RunnableCallable):
             trace=False,
         )
         self.writes = cast(
-            list[Union[ChannelWriteEntry, ChannelWriteTupleEntry, Send]], writes
+            list[ChannelWriteEntry | ChannelWriteTupleEntry | Send], writes
         )
 
     def get_name(self, suffix: str | None = None, *, name: str | None = None) -> str:
@@ -151,7 +148,7 @@ class ChannelWrite(RunnableCallable):
         elif writes := getattr(runnable, "_is_channel_writer", MISSING):
             if writes is not MISSING:
                 writes = cast(
-                    Sequence[tuple[Union[ChannelWriteEntry, Send], Optional[str]]],
+                    Sequence[tuple[ChannelWriteEntry | Send, str | None]],
                     writes,
                 )
                 entries = [e for e, _ in writes]

libs/langgraph/langgraph/pregel/main.py

@@ -8,16 +8,20 @@ import queue
 import warnings
 import weakref
 from collections import defaultdict, deque
-from collections.abc import AsyncIterator, Awaitable, Iterator, Mapping, Sequence
+from collections.abc import (
+    AsyncIterator,
+    Awaitable,
+    Callable,
+    Iterator,
+    Mapping,
+    Sequence,
+)
 from dataclasses import is_dataclass
 from functools import partial
 from inspect import isclass
 from typing import (
     Any,
-    Callable,
     Generic,
-    Optional,
-    Union,
     cast,
     get_type_hints,
 )
@@ -149,7 +153,7 @@ except ImportError:
 
 __all__ = ("NodeBuilder", "Pregel")
 
-_WriteValue = Union[Callable[[Input], Output], Any]
+_WriteValue = Callable[[Input], Output] | Any
 
 
 class NodeBuilder:
@@ -211,7 +215,7 @@ class NodeBuilder:
 
         Args:
             channels: Channel name(s) to subscribe to
-            read: If True, the channels will be included in the input to the node.
+            read: If `True`, the channels will be included in the input to the node.
                 Otherwise, they will trigger the node without being sent in input.
 
         Returns:
@@ -591,26 +595,25 @@ class Pregel(
     input_channels: str | Sequence[str]
 
     step_timeout: float | None = None
-    """Maximum time to wait for a step to complete, in seconds. Defaults to None."""
+    """Maximum time to wait for a step to complete, in seconds."""
 
     debug: bool
-    """Whether to print debug information during execution. Defaults to False."""
+    """Whether to print debug information during execution."""
 
     checkpointer: Checkpointer = None
-    """Checkpointer used to save and load graph state. Defaults to None."""
+    """`Checkpointer` used to save and load graph state."""
 
     store: BaseStore | None = None
-    """Memory store to use for SharedValues. Defaults to None."""
+    """Memory store to use for SharedValues."""
 
     cache: BaseCache | None = None
-    """Cache to use for storing node results. Defaults to None."""
+    """Cache to use for storing node results."""
 
     retry_policy: Sequence[RetryPolicy] = ()
     """Retry policies to use when running tasks. Empty set disables retries."""
 
     cache_policy: CachePolicy | None = None
-    """Cache policy to use for all nodes. Can be overridden by individual nodes.
-    Defaults to None."""
+    """Cache policy to use for all nodes. Can be overridden by individual nodes."""
 
     context_schema: type[ContextT] | None = None
     """Specifies the schema for the context object that will be passed to the workflow."""
@@ -928,10 +931,10 @@ class Pregel(
         Args:
             namespace: The namespace to filter the subgraphs by.
             recurse: Whether to recurse into the subgraphs.
-                If False, only the immediate subgraphs will be returned.
+                If `False`, only the immediate subgraphs will be returned.
 
         Returns:
-            Iterator[tuple[str, PregelProtocol]]: An iterator of the (namespace, subgraph) pairs.
+            An iterator of the (namespace, subgraph) pairs.
         """
         for name, node in self.nodes.items():
             # filter by prefix
@@ -967,10 +970,10 @@ class Pregel(
         Args:
             namespace: The namespace to filter the subgraphs by.
             recurse: Whether to recurse into the subgraphs.
-                If False, only the immediate subgraphs will be returned.
+                If `False`, only the immediate subgraphs will be returned.
 
         Returns:
-            AsyncIterator[tuple[str, PregelProtocol]]: An iterator of the (namespace, subgraph) pairs.
+            An iterator of the (namespace, subgraph) pairs.
         """
         for name, node in self.get_subgraphs(namespace=namespace, recurse=recurse):
             yield name, node
@@ -1423,7 +1426,7 @@ class Pregel(
         Args:
             config: The config to apply the updates to.
             supersteps: A list of supersteps, each including a list of updates to apply sequentially to a graph state.
-                        Each update is a tuple of the form `(values, as_node, task_id)` where task_id is optional.
+                        Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
 
         Raises:
             ValueError: If no checkpointer is set or no updates are provided.
@@ -1890,7 +1893,7 @@ class Pregel(
         Args:
             config: The config to apply the updates to.
             supersteps: A list of supersteps, each including a list of updates to apply sequentially to a graph state.
-                        Each update is a tuple of the form `(values, as_node, task_id)` where task_id is optional.
+                        Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
 
         Raises:
             ValueError: If no checkpointer is set or no updates are provided.
@@ -2473,7 +2476,7 @@ class Pregel(
                 - `"custom"`: Emit custom data from inside nodes or tasks using `StreamWriter`.
                 - `"messages"`: Emit LLM messages token-by-token together with metadata for any LLM invocations inside nodes or tasks.
                     Will be emitted as 2-tuples `(LLM token, metadata)`.
-                - `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by get_state().
+                - `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
                 - `"tasks"`: Emit events when tasks start and finish, including their results and errors.
 
                 You can pass a list as the `stream_mode` parameter to stream multiple modes at once.
@@ -2484,12 +2487,12 @@ class Pregel(
             output_keys: The keys to stream, defaults to all non-context channels.
             interrupt_before: Nodes to interrupt before, defaults to all nodes in the graph.
             interrupt_after: Nodes to interrupt after, defaults to all nodes in the graph.
-            durability: The durability mode for the graph execution, defaults to "async". Options are:
+            durability: The durability mode for the graph execution, defaults to `"async"`. Options are:
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
             subgraphs: Whether to stream events from inside subgraphs, defaults to False.
-                If True, the events will be emitted as tuples `(namespace, data)`,
+                If `True`, the events will be emitted as tuples `(namespace, data)`,
                 or `(namespace, mode, data)` if `stream_mode` is a list,
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
                 e.g. `("parent_node:<task_id>", "child_node:<task_id>")`.
@@ -2497,7 +2500,7 @@ class Pregel(
                 See [LangGraph streaming guide](https://langchain-ai.github.io/langgraph/how-tos/streaming/) for more details.
 
         Yields:
-            The output of each step in the graph. The output shape depends on the stream_mode.
+            The output of each step in the graph. The output shape depends on the `stream_mode`.
         """
         if (checkpoint_during := kwargs.get("checkpoint_during")) is not None:
             warnings.warn(
@@ -2562,7 +2565,7 @@ class Pregel(
                 config[CONF][CONFIG_KEY_CHECKPOINT_NS] = recast_checkpoint_ns(ns)
             # set up messages stream mode
             if "messages" in stream_modes:
-                ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
+                ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
                 run_manager.inheritable_handlers.append(
                     StreamMessagesHandler(
                         stream.put,
@@ -2749,12 +2752,12 @@ class Pregel(
             output_keys: The keys to stream, defaults to all non-context channels.
             interrupt_before: Nodes to interrupt before, defaults to all nodes in the graph.
             interrupt_after: Nodes to interrupt after, defaults to all nodes in the graph.
-            durability: The durability mode for the graph execution, defaults to "async". Options are:
+            durability: The durability mode for the graph execution, defaults to `"async"`. Options are:
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
             subgraphs: Whether to stream events from inside subgraphs, defaults to False.
-                If True, the events will be emitted as tuples `(namespace, data)`,
+                If `True`, the events will be emitted as tuples `(namespace, data)`,
                 or `(namespace, mode, data)` if `stream_mode` is a list,
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
                 e.g. `("parent_node:<task_id>", "child_node:<task_id>")`.
@@ -2762,7 +2765,7 @@ class Pregel(
                 See [LangGraph streaming guide](https://langchain-ai.github.io/langgraph/how-tos/streaming/) for more details.
 
         Yields:
-            The output of each step in the graph. The output shape depends on the stream_mode.
+            The output of each step in the graph. The output shape depends on the `stream_mode`.
         """
         if (checkpoint_during := kwargs.get("checkpoint_during")) is not None:
             warnings.warn(
@@ -2847,7 +2850,7 @@ class Pregel(
             # set up messages stream mode
             if "messages" in stream_modes:
                 # namespace can be None in a root level graph?
-                ns_ = cast(Optional[str], config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
+                ns_ = cast(str | None, config[CONF].get(CONFIG_KEY_CHECKPOINT_NS))
                 run_manager.inheritable_handlers.append(
                     StreamMessagesHandler(
                         stream_put,
@@ -3058,23 +3061,23 @@ class Pregel(
 
         Args:
             input: The input data for the graph. It can be a dictionary or any other type.
-            config: Optional. The configuration for the graph run.
+            config: The configuration for the graph run.
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
-            stream_mode: Optional[str]. The stream mode for the graph run. Default is "values".
+            stream_mode: The stream mode for the graph run.
             print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
-            output_keys: Optional. The output keys to retrieve from the graph run.
-            interrupt_before: Optional. The nodes to interrupt the graph run before.
-            interrupt_after: Optional. The nodes to interrupt the graph run after.
-            durability: The durability mode for the graph execution, defaults to "async". Options are:
+            output_keys: The output keys to retrieve from the graph run.
+            interrupt_before: The nodes to interrupt the graph run before.
+            interrupt_after: The nodes to interrupt the graph run after.
+            durability: The durability mode for the graph execution, defaults to `"async"`. Options are:
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
             **kwargs: Additional keyword arguments to pass to the graph run.
 
         Returns:
-            The output of the graph run. If stream_mode is "values", it returns the latest output.
-            If stream_mode is not "values", it returns a list of output chunks.
+            The output of the graph run. If `stream_mode` is `"values"`, it returns the latest output.
+            If `stream_mode` is not `"values"`, it returns a list of output chunks.
         """
         output_keys = output_keys if output_keys is not None else self.output_channels
 
@@ -3143,23 +3146,23 @@ class Pregel(
 
         Args:
             input: The input data for the computation. It can be a dictionary or any other type.
-            config: Optional. The configuration for the computation.
+            config: The configuration for the computation.
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
-            stream_mode: Optional. The stream mode for the computation. Default is "values".
+            stream_mode: The stream mode for the computation.
             print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
-            output_keys: Optional. The output keys to include in the result. Default is None.
-            interrupt_before: Optional. The nodes to interrupt before. Default is None.
-            interrupt_after: Optional. The nodes to interrupt after. Default is None.
-            durability: The durability mode for the graph execution, defaults to "async". Options are:
+            output_keys: The output keys to include in the result.
+            interrupt_before: The nodes to interrupt before.
+            interrupt_after: The nodes to interrupt after.
+            durability: The durability mode for the graph execution, defaults to `"async"`. Options are:
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
             **kwargs: Additional keyword arguments.
 
         Returns:
-            The result of the computation. If stream_mode is "values", it returns the latest value.
-            If stream_mode is "chunks", it returns a list of chunks.
+            The result of the computation. If `stream_mode` is `"values"`, it returns the latest value.
+            If `stream_mode` is `"chunks"`, it returns a list of chunks.
         """
 
         output_keys = output_keys if output_keys is not None else self.output_channels

libs/langgraph/langgraph/pregel/protocol.py

@@ -1,8 +1,8 @@
 from __future__ import annotations
 
 from abc import abstractmethod
-from collections.abc import AsyncIterator, Iterator, Sequence
-from typing import Any, Callable, Generic, cast
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
+from typing import Any, Generic, cast
 
 from langchain_core.runnables import Runnable, RunnableConfig
 from langchain_core.runnables.graph import Graph as DrawableGraph

libs/langgraph/langgraph/runtime.py

@@ -80,11 +80,11 @@ class Runtime(Generic[ContextT]):
 
     1. Define a schema for the runtime context.
     2. Create a store to persist memories and other information.
-    3. Use the runtime context to access the user_id.
+    3. Use the runtime context to access the `user_id`.
     """
 
     context: ContextT = field(default=None)  # type: ignore[assignment]
-    """Static context for the graph run, like user_id, db_conn, etc.
+    """Static context for the graph run, like `user_id`, `db_conn`, etc.
     
     Can also be thought of as 'run dependencies'."""
 

libs/langgraph/langgraph/types.py

@@ -2,18 +2,16 @@ from __future__ import annotations
 
 import sys
 from collections import deque
-from collections.abc import Hashable, Sequence
+from collections.abc import Callable, Hashable, Sequence
 from dataclasses import asdict, dataclass
 from typing import (
     TYPE_CHECKING,
     Any,
-    Callable,
     ClassVar,
     Generic,
     Literal,
     NamedTuple,
     TypeVar,
-    Union,
     final,
 )
 from warnings import warn
@@ -68,7 +66,7 @@ Durability = Literal["sync", "async", "exit"]
 All = Literal["*"]
 """Special value to indicate that graph should interrupt on all nodes."""
 
-Checkpointer = Union[None, bool, BaseCheckpointSaver]
+Checkpointer = None | bool | BaseCheckpointSaver
 """Type of the checkpointer to use for a subgraph.
 - True enables persistent checkpointing for this subgraph.
 - False disables checkpointing, even if the parent graph has a checkpointer.
@@ -85,7 +83,7 @@ StreamMode = Literal[
     If multiple updates are made in the same step (e.g. multiple nodes are run) then those updates are emitted separately.
 - `"custom"`: Emit custom data using from inside nodes or tasks using `StreamWriter`.
 - `"messages"`: Emit LLM messages token-by-token together with metadata for any LLM invocations inside nodes or tasks.
-- `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by get_state().
+- `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
 - `"tasks"`: Emit events when tasks start and finish, including their results and errors.
 - `"debug"`: Emit "checkpoints" and "tasks" events, for debugging purposes.
 """
@@ -93,14 +91,9 @@ StreamMode = Literal[
 StreamWriter = Callable[[Any], None]
 """Callable that accepts a single argument and writes it to the output stream.
 Always injected into nodes if requested as a keyword argument, but it's a no-op
-when not using stream_mode="custom"."""
+when not using `stream_mode="custom"`."""
 
-if sys.version_info >= (3, 10):
-    _DC_SLOTS = {"slots": True}
-    _DC_KWARGS = {"kw_only": True, "slots": True, "frozen": True}
-else:
-    _DC_SLOTS = {}
-    _DC_KWARGS = {"frozen": True}
+_DC_KWARGS = {"kw_only": True, "slots": True, "frozen": True}
 
 
 class RetryPolicy(NamedTuple):
@@ -125,7 +118,7 @@ class RetryPolicy(NamedTuple):
     """List of exception classes that should trigger a retry, or a callable that returns True for exceptions that should trigger a retry."""
 
 
-KeyFuncT = TypeVar("KeyFuncT", bound=Callable[..., Union[str, bytes]])
+KeyFuncT = TypeVar("KeyFuncT", bound=Callable[..., str | bytes])
 
 
 @dataclass(**_DC_KWARGS)
@@ -137,14 +130,14 @@ class CachePolicy(Generic[KeyFuncT]):
     Defaults to hashing the input with pickle."""
 
     ttl: int | None = None
-    """Time to live for the cache entry in seconds. If None, the entry never expires."""
+    """Time to live for the cache entry in seconds. If `None`, the entry never expires."""
 
 
 _DEFAULT_INTERRUPT_ID = "placeholder-id"
 
 
 @final
-@dataclass(init=False, **_DC_SLOTS)
+@dataclass(init=False, slots=True)
 class Interrupt:
     """Information about an interrupt that occurred in a node.
 
@@ -354,20 +347,20 @@ class Command(Generic[N], ToolOutputMixin):
     Args:
         graph: graph to send the command to. Supported values are:
 
-            - None: the current graph (default)
-            - Command.PARENT: closest parent graph
-        update: update to apply to the graph's state.
-        resume: value to resume execution with. To be used together with [`interrupt()`][langgraph.types.interrupt].
+            - `None`: the current graph
+            - `Command.PARENT`: closest parent graph
+        update: Update to apply to the graph's state.
+        resume: Value to resume execution with. To be used together with [`interrupt()`][langgraph.types.interrupt].
             Can be one of the following:
 
-            - mapping of interrupt ids to resume values
-            - a single value with which to resume the next interrupt
-        goto: can be one of the following:
+            - Mapping of interrupt ids to resume values
+            - A single value with which to resume the next interrupt
+        goto: Can be one of the following:
 
-            - name of the node to navigate to next (any node that belongs to the specified `graph`)
-            - sequence of node names to navigate to next
+            - Name of the node to navigate to next (any node that belongs to the specified `graph`)
+            - Sequence of node names to navigate to next
             - `Send` object (to execute a node with the input provided)
-            - sequence of `Send` objects
+            - Sequence of `Send` objects
     """
 
     graph: str | None = None

libs/langgraph/langgraph/typing.py

@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-from typing import Union
-
 from typing_extensions import TypeVar
 
 from langgraph._internal._typing import StateLike
@@ -22,14 +20,14 @@ StateT_co = TypeVar("StateT_co", bound=StateLike, covariant=True)
 
 StateT_contra = TypeVar("StateT_contra", bound=StateLike, contravariant=True)
 
-ContextT = TypeVar("ContextT", bound=Union[StateLike, None], default=None)
+ContextT = TypeVar("ContextT", bound=StateLike | None, default=None)
 """Type variable used to represent graph run scoped context.
 
 Defaults to `None`.
 """
 
 ContextT_contra = TypeVar(
-    "ContextT_contra", bound=Union[StateLike, None], contravariant=True, default=None
+    "ContextT_contra", bound=StateLike | None, contravariant=True, default=None
 )
 
 InputT = TypeVar("InputT", bound=StateLike, default=StateT)

libs/langgraph/pyproject.toml

@@ -4,10 +4,10 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "0.6.10"
+version = "1.0.0rc1"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -15,7 +15,7 @@ dependencies = [
     "langchain-core>=0.1",
     "langgraph-checkpoint>=2.1.0,<3.0.0",
     "langgraph-sdk>=0.2.2,<0.3.0",
-    "langgraph-prebuilt>=0.6.0,<0.7.0",
+    "langgraph-prebuilt==0.7.0rc1",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]
@@ -37,6 +37,7 @@ dev = [
     "jupyter",
     "pytest-xdist[psutil]",
     "pytest-repeat",
+    "langchain-core==1.0.0a1",
     "langgraph-prebuilt",
     "langgraph-checkpoint",
     "langgraph-checkpoint-sqlite",
@@ -69,10 +70,7 @@ lint.ignore = [ "E501" ]
 line-length = 88
 indent-width = 4
 extend-include = ["*.ipynb"]
-target-version = "py39"
-
-[tool.ruff.lint.per-file-ignores]
-"tests/bench/*" = ["UP006", "UP007"]
+target-version = "py310"
 
 [tool.ruff.lint.flake8-tidy-imports.banned-api]
 "typing.TypedDict".msg = "Use typing_extensions.TypedDict instead."