fix: discover running subgraph lifecycle events

Bump mypy 1.20.2 -> 2.1.0 in checkpoint, checkpoint-postgres,
checkpoint-sqlite, cli, langgraph, prebuilt and sdk-py, and fix the type
errors surfaced by the stricter checker. Only mypy and its transitive
deps (librt, ast-serialize) change in the lockfiles; no runtime
dependencies are bumped.

All changes are type-only (annotations, casts, type-ignore adjustments)
with no runtime behaviour change. make lint passes in every affected lib.

Supersedes dependabot PRs #7969, #7970 and #7974, and removes the mypy
portion of the grouped bumps in #7976 and #7972.

.github/actions/uv_setup/action.yml

@@ -24,7 +24,7 @@ runs:
   using: composite
   steps:
     - name: Install uv and set the python version
-      uses: astral-sh/setup-uv@37802adc94f370d6bfd71619e3f0bf239e1f3b78 # v7.6.0
+      uses: astral-sh/setup-uv@v7
       with:
         python-version: ${{ inputs.python-version }}
         enable-cache: ${{ inputs.enable-cache }}

.github/workflows/_integration_test.yml

@@ -37,7 +37,7 @@ jobs:
       run:
         working-directory: libs/cli
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
         if: github.event_name != 'workflow_dispatch'

.github/workflows/_lint.yml

@@ -31,7 +31,7 @@ jobs:
           - "3.12"
     name: "lint #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
         if: github.event_name != 'workflow_dispatch'
@@ -51,6 +51,16 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
         run: uv sync --frozen --group lint
 
+      - name: Get .mypy_cache to speed up mypy
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
+        uses: actions/cache@v5
+        env:
+          SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
+        with:
+          path: |
+            ${{ inputs.working-directory }}/.mypy_cache
+          key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
+
       - name: Analysing package code with our lint
         if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         working-directory: ${{ inputs.working-directory }}
@@ -67,6 +77,16 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
         run: uv sync --group lint
 
+      - name: Get .mypy_cache_test to speed up mypy
+        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
+        uses: actions/cache@v5
+        env:
+          SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
+        with:
+          path: |
+            ${{ inputs.working-directory }}/.mypy_cache_test
+          key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
+
       - name: Analysing tests with our lint
         if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
         working-directory: ${{ inputs.working-directory }}

.github/workflows/_sdk_integration_test.yml

@@ -23,7 +23,7 @@ jobs:
     env:
       HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
 
       - name: Set up Python
         uses: ./.github/actions/uv_setup

.github/workflows/_test.yml

@@ -25,7 +25,7 @@ jobs:
 
     name: "test #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
         uses: ./.github/actions/uv_setup
         with:

.github/workflows/_test_langgraph.yml

@@ -23,7 +23,7 @@ jobs:
         working-directory: libs/langgraph
     name: "test #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
         uses: ./.github/actions/uv_setup
         with:

.github/workflows/_test_release.yml

@@ -23,7 +23,7 @@ jobs:
       version: ${{ steps.check-version.outputs.version }}
 
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
 
       - name: Set up Python ${{ env.PYTHON_VERSION }}
         uses: ./.github/actions/uv_setup
@@ -48,7 +48,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        uses: actions/upload-artifact@v7
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/
@@ -74,9 +74,9 @@ jobs:
       id-token: write
 
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
 
-      - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+      - uses: actions/download-artifact@v8
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/

.github/workflows/baseline.yml

@@ -17,7 +17,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
       - name: Set up Python 3.11
         uses: ./.github/actions/uv_setup
@@ -30,7 +30,7 @@ jobs:
       - name: Run benchmarks
         run: OUTPUT=out/benchmark-baseline.json make -s benchmark
       - name: Save outputs
-        uses: actions/cache/save@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
+        uses: actions/cache/save@v5
         with:
           key: ${{ runner.os }}-benchmark-baseline-${{ env.SHA }}
           path: |

.github/workflows/bench.yml

@@ -15,7 +15,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - id: files
         name: Get changed files
         uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
@@ -30,7 +30,7 @@ jobs:
       - name: Install dependencies
         run: uv sync --group test
       - name: Download baseline
-        uses: actions/cache/restore@27d5ce7f107fe9357f9df03efb73ab90386fccae # v5.0.5
+        uses: actions/cache/restore@v5
         with:
           key: ${{ runner.os }}-benchmark-baseline
           restore-keys: |
@@ -57,7 +57,7 @@ jobs:
             echo EOF
           } >> "$GITHUB_OUTPUT"
       - name: Annotation
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         env:
           CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
           BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}

.github/workflows/ci.yml

@@ -30,7 +30,7 @@ jobs:
       deps: ${{ steps.filter.outputs.deps || 'true' }}
       sdk_py: ${{ steps.filter.outputs.sdk_py || 'true' }}
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
         if: github.event_name != 'workflow_dispatch'
         id: filter
@@ -112,9 +112,9 @@ jobs:
     name: "Check SDK methods matching"
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - name: Set up Python
-        uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
+        uses: actions/setup-python@v6
         with:
           python-version: "3.11"
       - name: Run check_sdk_methods script
@@ -130,7 +130,7 @@ jobs:
         python-version:
           - "3.13"
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
         uses: ./.github/actions/uv_setup
         with:

.github/workflows/deploy-redirects.yml

@@ -26,10 +26,10 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
-        uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+        uses: actions/checkout@v6
 
       - name: Setup Python
-        uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
+        uses: actions/setup-python@v6
         with:
           python-version: '3.11'
 
@@ -37,13 +37,13 @@ jobs:
         run: python docs/generate_redirects.py
 
       - name: Setup Pages
-        uses: actions/configure-pages@45bfe0192ca1faeb007ade9deae92b16b8254a0d # v6.0.0
+        uses: actions/configure-pages@v6
 
       - name: Upload artifact
-        uses: actions/upload-pages-artifact@fc324d3547104276b827a68afc52ff2a11cc49c9 # v5.0.0
+        uses: actions/upload-pages-artifact@v5
         with:
           path: 'docs/_site'
 
       - name: Deploy to GitHub Pages
         id: deployment
-        uses: actions/deploy-pages@cd2ce8fcbc39b97be8ca5fce6e763baed58fa128 # v5.0.0
+        uses: actions/deploy-pages@v5

.github/workflows/release.yml

@@ -25,7 +25,7 @@ jobs:
       tag: ${{ steps.check-version.outputs.tag }}
 
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
 
       - name: Set up Python
         uses: ./.github/actions/uv_setup
@@ -51,7 +51,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
+        uses: actions/upload-artifact@v7
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -87,7 +87,7 @@ jobs:
     outputs:
       release-body: ${{ steps.generate-release-body.outputs.release-body }}
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
         with:
           repository: langchain-ai/langgraph
           path: langgraph
@@ -158,7 +158,7 @@ jobs:
       - test-pypi-publish
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
 
       # We explicitly *don't* set up caching here. This ensures our tests are
       # maximally sensitive to catching breakage.
@@ -262,7 +262,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
 
       - name: Set up Python
         uses: ./.github/actions/uv_setup
@@ -272,7 +272,7 @@ jobs:
           enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
-      - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+      - uses: actions/download-artifact@v8
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -304,7 +304,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
 
       - name: Set up Python
         uses: ./.github/actions/uv_setup
@@ -314,7 +314,7 @@ jobs:
           enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
-      - uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
+      - uses: actions/download-artifact@v8
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/

.github/workflows/reopen_on_assignment.yml

@@ -26,7 +26,7 @@ jobs:
 
     steps:
       - name: Find and reopen matching PRs
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;

.github/workflows/require_issue_link.yml

@@ -50,7 +50,7 @@ jobs:
     steps:
       - name: Check for issue link and assignee
         id: check-link
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;
@@ -283,7 +283,7 @@ jobs:
         if: >-
           env.ENFORCE_ISSUE_LINK == 'true' &&
           (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;
@@ -312,7 +312,7 @@ jobs:
         if: >-
           env.ENFORCE_ISSUE_LINK == 'true' &&
           steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;
@@ -366,7 +366,7 @@ jobs:
         if: >-
           env.ENFORCE_ISSUE_LINK == 'true' &&
           (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;

.github/workflows/tag-external-issues.yml

@@ -55,7 +55,7 @@ jobs:
     steps:
       - name: Generate GitHub App token
         id: app-token
-        uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
+        uses: actions/create-github-app-token@v3
         with:
           app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
           private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
@@ -63,7 +63,7 @@ jobs:
       - name: Check if contributor is external
         if: steps.app-token.outcome == 'success'
         id: check-membership
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           github-token: ${{ steps.app-token.outputs.token }}
           script: |
@@ -102,7 +102,7 @@ jobs:
 
       - name: Apply contributor tier label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -155,7 +155,7 @@ jobs:
 
       - name: Add external label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -168,7 +168,7 @@ jobs:
 
       - name: Add internal label
         if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -190,13 +190,13 @@ jobs:
     steps:
       - name: Generate GitHub App token
         id: app-token
-        uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
+        uses: actions/create-github-app-token@v3
         with:
           app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
           private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
 
       - name: Backfill labels
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           github-token: ${{ steps.app-token.outputs.token }}
           script: |

.github/workflows/tag-external-prs.yml

@@ -40,7 +40,7 @@ jobs:
     steps:
       - name: Generate GitHub App token
         id: app-token
-        uses: actions/create-github-app-token@bcd2ba49218906704ab6c1aa796996da409d3eb1 # v3.2.0
+        uses: actions/create-github-app-token@v3
         with:
           app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
           private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
@@ -48,7 +48,7 @@ jobs:
       - name: Check if contributor is external
         if: steps.app-token.outcome == 'success'
         id: check-membership
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           github-token: ${{ steps.app-token.outputs.token }}
           script: |
@@ -90,7 +90,7 @@ jobs:
       # event fires and triggers require_issue_link.yml.
       - name: Apply contributor tier label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           # Use App token so the "labeled" event propagates to downstream
           # workflows (e.g. require_issue_link.yml).
@@ -145,7 +145,7 @@ jobs:
 
       - name: Add external label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           # Use App token so the "labeled" event propagates to downstream
           # workflows (e.g. require_issue_link.yml). Events created by the
@@ -161,7 +161,7 @@ jobs:
 
       - name: Add internal label
         if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@3a2844b7e9c422d3c10d287c895573f7108da1b3 # v9.0.0
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |

.github/workflows/uv_lock_ugprade.yml

@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     
     steps:
-      - uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
+      - uses: actions/checkout@v6
       
       - name: Set up uv
         uses: ./.github/actions/uv_setup

examples/README.md

@@ -1,11 +1,3 @@
 # LangGraph examples
 
-This directory is retained purely for archival purposes and is no longer updated.
-
-## 🤔 What is this?
-
-The examples previously found here have been moved to the consolidated LangChain documentation. This directory remains available for historical reference, but new examples and usage guidance are published in the docs.
-
-## 📖 Documentation
-
-For up-to-date LangGraph examples, tutorials, and guides, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview). Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
+This directory is retained purely for archival purposes and is no longer updated. The examples previously found here have been moved to the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview). Please refer to the LangChain docs for the most up-to-date examples and usage guidelines for LangGraph.

libs/checkpoint-conformance/README.md

@@ -1,27 +1,15 @@
-# LangGraph Checkpoint Conformance
+# langgraph-checkpoint-conformance
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-conformance?label=%20)](https://pypi.org/project/langgraph-checkpoint-conformance/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-conformance)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-conformance)](https://pypistats.org/packages/langgraph-checkpoint-conformance)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
+Conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations.
 
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
+Validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
 
-## Quick Install
+## Installation
 
 ```bash
-uv add langgraph-checkpoint-conformance
+pip install langgraph-checkpoint-conformance
 ```
 
-## 🤔 What is this?
-
-This library provides a conformance test suite for [LangGraph](https://github.com/langchain-ai/langgraph) checkpointer implementations. It validates that a `BaseCheckpointSaver` subclass correctly implements the checkpoint storage contract — blob round-trips, metadata preservation, namespace isolation, incremental channel updates, and more.
-
-## 📖 Documentation
-
-For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph/). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
-
 ## Quick start
 
 Register your checkpointer with `@checkpointer_test` and run `validate()`:
@@ -122,13 +110,3 @@ async def pg_checkpointer():
     async with PostgresSaver.from_conn_string(CONN_STRING) as saver:
         yield saver
 ```
-
-## 📕 Releases & Versioning
-
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
-
-## 💁 Contributing
-
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
-
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

libs/checkpoint-conformance/uv.lock

@@ -296,6 +296,7 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "dataclasses-json" },
+    { name = "mypy" },
     { name = "numpy" },
     { name = "pandas" },
     { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -306,12 +307,11 @@ dev = [
     { name = "pytest-watcher" },
     { name = "redis" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 test = [
     { name = "dataclasses-json" },
@@ -896,27 +896,27 @@ wheels = [
 
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 [[package]]

libs/checkpoint-postgres/Makefile

@@ -47,19 +47,22 @@ test_watch:
 
 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
 lint_package: PYTHON_FILES=langgraph
 lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
 	uv run ruff check .
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
+	[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 type:
-	uv run ty check $(PYTHON_FILES)
+	mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)

libs/checkpoint-postgres/README.md

@@ -1,28 +1,10 @@
 # LangGraph Checkpoint Postgres
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-postgres?label=%20)](https://pypi.org/project/langgraph-checkpoint-postgres/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-postgres)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-postgres)](https://pypistats.org/packages/langgraph-checkpoint-postgres)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
+Implementation of LangGraph CheckpointSaver that uses Postgres.
 
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
+## Dependencies
 
-## Quick Install
-
-```bash
-uv add langgraph-checkpoint-postgres
-```
-
-## 🤔 What is this?
-
-This library provides a Postgres implementation of LangGraph's checkpoint saver. Use it when you want LangGraph state persistence backed by Postgres for durable, long-running workflows and agents.
-
-By default, `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. You can choose a specific installation that best suits your needs in the [Psycopg installation docs](https://www.psycopg.org/psycopg3/docs/basic/install.html), for example `psycopg[binary]`.
-
-## 📖 Documentation
-
-For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint.postgres). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).
 
 ## Security
 
@@ -38,12 +20,10 @@ For full documentation, see the [API reference](https://reference.langchain.com/
 > When manually creating Postgres connections and passing them to `PostgresSaver` or `AsyncPostgresSaver`, make sure to include `autocommit=True` and `row_factory=dict_row` (`from psycopg.rows import dict_row`). See a full example in this [how-to guide](https://langchain-ai.github.io/langgraph/how-tos/persistence_postgres/).
 >
 > **Why these parameters are required:**
->
 > - `autocommit=True`: Required for the `.setup()` method to properly commit the checkpoint tables to the database. Without this, table creation may not be persisted.
 > - `row_factory=dict_row`: Required because the PostgresSaver implementation accesses database rows using dictionary-style syntax (e.g., `row["column_name"]`). The default `tuple_row` factory returns tuples that only support index-based access (e.g., `row[0]`), which will cause `TypeError` exceptions when the checkpointer tries to access columns by name.
 >
 > **Example of incorrect usage:**
->
 > ```python
 > # ❌ This will fail with TypeError during checkpointer operations
 > with psycopg.connect(DB_URI) as conn:  # Missing autocommit=True and row_factory=dict_row
@@ -138,13 +118,3 @@ async with AsyncPostgresSaver.from_conn_string(DB_URI) as checkpointer:
     # list checkpoints
     [c async for c in checkpointer.alist(read_config)]
 ```
-
-## 📕 Releases & Versioning
-
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
-
-## 💁 Contributing
-
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
-
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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

@@ -1274,7 +1274,7 @@ def _row_to_item(
     if not isinstance(val, dict):
         val = (loader or _json_loads)(val)
 
-    kwargs = {
+    kwargs: dict[str, Any] = {
         "key": row["key"],
         "namespace": namespace,
         "value": val,

libs/checkpoint-postgres/pyproject.toml

@@ -37,7 +37,7 @@ test = [
 lint = [
   "ruff",
   "codespell",
-  "ty",
+  "mypy",
 ]
 dev = [
   {include-group = "test"},
@@ -69,15 +69,15 @@ lint.select = [
 lint.ignore = ["E501", "B008"]
 target-version = "py310"
 
-[tool.ty.rules]
-invalid-argument-type = "ignore"
-invalid-assignment = "ignore"
-invalid-key = "ignore"
-invalid-return-type = "ignore"
-invalid-typed-dict-field = "ignore"
-invalid-yield = "ignore"
-no-matching-overload = "ignore"
-unused-type-ignore-comment = "ignore"
+[tool.mypy]
+# https://mypy.readthedocs.io/en/stable/config_file.html
+disallow_untyped_defs = "True"
+explicit_package_bases = "True"
+warn_no_return = "False"
+warn_unused_ignores = "True"
+warn_redundant_casts = "True"
+allow_redefinition = "True"
+disable_error_code = "typeddict-item, return-value"
 
 [tool.pytest-watcher]
 now = true

libs/checkpoint-postgres/uv.lock

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 ]
 
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+version = "0.5.0"
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+]
+
 [[package]]
 name = "backports-asyncio-runner"
 version = "1.2.0"
@@ -293,6 +333,7 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "dataclasses-json" },
+    { name = "mypy" },
     { name = "numpy" },
     { name = "pandas" },
     { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -303,12 +344,11 @@ dev = [
     { name = "pytest-watcher" },
     { name = "redis" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 test = [
     { name = "dataclasses-json" },
@@ -338,18 +378,18 @@ dev = [
     { name = "anyio" },
     { name = "codespell" },
     { name = "langgraph-checkpoint" },
+    { name = "mypy" },
     { name = "psycopg", extra = ["binary"] },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 test = [
     { name = "anyio" },
@@ -374,18 +414,18 @@ dev = [
     { name = "anyio" },
     { name = "codespell" },
     { name = "langgraph-checkpoint", editable = "../checkpoint" },
+    { name = "mypy" },
     { name = "psycopg", extras = ["binary"] },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 test = [
     { name = "anyio" },
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-
 [[package]]
 name = "typing-extensions"
 version = "4.15.0"

libs/checkpoint-sqlite/Makefile

@@ -18,19 +18,22 @@ test_watch:
 
 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
 lint_package: PYTHON_FILES=langgraph
 lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
 	uv run ruff check .
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
+	[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 type:
-	uv run ty check $(PYTHON_FILES)
+	mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)

libs/checkpoint-sqlite/README.md

@@ -1,26 +1,6 @@
 # LangGraph SQLite Checkpoint
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint-sqlite?label=%20)](https://pypi.org/project/langgraph-checkpoint-sqlite/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint-sqlite)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint-sqlite)](https://pypistats.org/packages/langgraph-checkpoint-sqlite)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
-
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
-
-## Quick Install
-
-```bash
-uv add langgraph-checkpoint-sqlite
-```
-
-## 🤔 What is this?
-
-This library provides a SQLite implementation of LangGraph's checkpoint saver, with both sync and async support via `aiosqlite`. Use it when you want LangGraph state persistence backed by SQLite for local development, testing, or lightweight deployments.
-
-## 📖 Documentation
-
-For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint.sqlite). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)
 
 ## Security
 
@@ -111,13 +91,3 @@ async with AsyncSqliteSaver.from_conn_string(":memory:") as checkpointer:
     # list checkpoints
     [c async for c in checkpointer.alist(read_config)]
 ```
-
-## 📕 Releases & Versioning
-
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
-
-## 💁 Contributing
-
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
-
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

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

@@ -493,7 +493,7 @@ class BaseSqliteStore:
                     LIMIT ?
                     OFFSET ?
                     """
-                params = [
+                params: list[Any] = [
                     _PLACEHOLDER,  # Vector placeholder
                     *ns_args,
                     *filter_params,

libs/checkpoint-sqlite/pyproject.toml

@@ -35,7 +35,7 @@ test = [
 lint = [
   "ruff",
   "codespell",
-  "ty",
+  "mypy",
 ]
 dev = [
   {include-group = "test"},
@@ -67,22 +67,23 @@ lint.select = [
 lint.ignore = ["E501", "B008"]
 target-version = "py310"
 
-[tool.ty.rules]
-invalid-argument-type = "ignore"
-invalid-assignment = "ignore"
-invalid-key = "ignore"
-invalid-method-override = "ignore"
-invalid-return-type = "ignore"
-invalid-yield = "ignore"
-not-iterable = "ignore"
-not-subscriptable = "ignore"
-unused-type-ignore-comment = "ignore"
-unresolved-attribute = "ignore"
-unresolved-import = "ignore"
-unsupported-operator = "ignore"
-
 [tool.pytest-watcher]
 now = true
 delay = 0.1
 runner_args = ["--ff", "-v", "--tb", "short"]
 patterns = ["*.py"]
+
+[tool.mypy]
+# https://mypy.readthedocs.io/en/stable/config_file.html
+disallow_untyped_defs = "True"
+explicit_package_bases = "True"
+warn_no_return = "False"
+warn_unused_ignores = "True"
+warn_redundant_casts = "True"
+allow_redefinition = "True"
+disable_error_code = "typeddict-item, return-value"
+
+# Optional conformance test dependency ships without a py.typed marker.
+[[tool.mypy.overrides]]
+module = "langgraph.checkpoint.conformance.*"
+ignore_missing_imports = true

libs/checkpoint-sqlite/tests/test_async_store.py

@@ -1,3 +1,4 @@
+# mypy: disable-error-code="union-attr,arg-type,index,operator"
 import asyncio
 import os
 import tempfile

libs/checkpoint-sqlite/tests/test_conformance_delta.py

@@ -2,6 +2,8 @@
 
 from __future__ import annotations
 
+from collections.abc import AsyncIterator
+
 import pytest
 
 pytest.importorskip(
@@ -12,14 +14,14 @@ pytest.importorskip("aiosqlite", reason="aiosqlite not installed")
 
 
 @pytest.mark.asyncio
-async def test_delta_channel_conformance():
+async def test_delta_channel_conformance() -> None:
     from langgraph.checkpoint.conformance import validate
     from langgraph.checkpoint.conformance.initializer import checkpointer_test
 
     from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
 
     @checkpointer_test(name="AsyncSqliteSaver")
-    async def sqlite_saver():
+    async def sqlite_saver() -> AsyncIterator[AsyncSqliteSaver]:
         async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
             yield saver
 

libs/checkpoint-sqlite/tests/test_store.py

@@ -1,3 +1,4 @@
+# mypy: disable-error-code="union-attr,arg-type,index,operator"
 import os
 import re
 import tempfile

libs/checkpoint-sqlite/uv.lock

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 name = "backports-asyncio-runner"
 version = "1.2.0"
@@ -302,6 +342,7 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "dataclasses-json" },
+    { name = "mypy" },
     { name = "numpy" },
     { name = "pandas" },
     { name = "pandas-stubs", specifier = ">=2.2.2.240807" },
@@ -312,12 +353,11 @@ dev = [
     { name = "pytest-watcher" },
     { name = "redis" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 test = [
     { name = "dataclasses-json" },
@@ -345,18 +385,18 @@ dependencies = [
 dev = [
     { name = "codespell" },
     { name = "langgraph-checkpoint" },
+    { name = "mypy" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-retry" },
     { name = "pytest-watcher" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 test = [
     { name = "langgraph-checkpoint" },
@@ -378,18 +418,18 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "langgraph-checkpoint", editable = "../checkpoint" },
+    { name = "mypy" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-retry", specifier = ">=1.7.0" },
     { name = "pytest-watcher" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 test = [
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 version = "1.6.0"
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 version = "4.15.0"

libs/checkpoint/Makefile

@@ -18,19 +18,22 @@ test_watch:
 
 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
 lint_package: PYTHON_FILES=langgraph
 lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
 	uv run ruff check .
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
+	[ "$(PYTHON_FILES)" = "" ] || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 type:
-	uv run ty check $(PYTHON_FILES)
+	mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)

libs/checkpoint/README.md

@@ -1,26 +1,6 @@
 # LangGraph Checkpoint
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-checkpoint?label=%20)](https://pypi.org/project/langgraph-checkpoint/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph-checkpoint)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-checkpoint)](https://pypistats.org/packages/langgraph-checkpoint)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
-
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
-
-## Quick Install
-
-```bash
-uv add langgraph-checkpoint
-```
-
-## 🤔 What is this?
-
-This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph: they save graph state at every superstep, enabling human-in-the-loop, memory between interactions, durable execution, and more.
-
-## 📖 Documentation
-
-For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.checkpoint). For conceptual guides on persistence and memory, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+This library defines the base interface for LangGraph checkpointers. Checkpointers provide a persistence layer for LangGraph. They allow you to interact with and manage the graph's state. When you use a graph with a checkpointer, the checkpointer saves a _checkpoint_ of the graph state at every superstep, enabling several powerful capabilities like human-in-the-loop, "memory" between interactions and more.
 
 ## Key concepts
 
@@ -44,7 +24,7 @@ You must pass these when invoking the graph as part of the configurable part of
 
 ### Serde
 
-`langgraph-checkpoint` also defines protocol for serialization/deserialization (serde) and provides a default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
+`langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.
 
 > [!IMPORTANT]
 > **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
@@ -109,13 +89,3 @@ checkpointer.get(read_config)
 # list checkpoints
 list(checkpointer.list(read_config))
 ```
-
-## 📕 Releases & Versioning
-
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
-
-## 💁 Contributing
-
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
-
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

libs/checkpoint/pyproject.toml

@@ -37,7 +37,7 @@ test = [
 lint = [
   "ruff",
   "codespell",
-  "ty",
+  "mypy",
 ]
 dev = [
   {include-group = "test"},
@@ -64,22 +64,23 @@ lint.select = [
 lint.ignore = ["E501", "B008"]
 target-version = "py310"
 
-[tool.ty.rules]
-deprecated = "ignore"
-invalid-argument-type = "ignore"
-invalid-assignment = "ignore"
-invalid-key = "ignore"
-invalid-method-override = "ignore"
-invalid-return-type = "ignore"
-invalid-type-form = "ignore"
-redundant-cast = "ignore"
-unused-type-ignore-comment = "ignore"
-unresolved-attribute = "ignore"
-unresolved-import = "ignore"
-unsupported-operator = "ignore"
-
 [tool.pytest-watcher]
 now = true
 delay = 0.1
 runner_args = ["--ff", "-v", "--tb", "short"]
 patterns = ["*.py"]
+
+[tool.mypy]
+# https://mypy.readthedocs.io/en/stable/config_file.html
+disallow_untyped_defs = "True"
+explicit_package_bases = "True"
+warn_no_return = "False"
+warn_unused_ignores = "True"
+warn_redundant_casts = "True"
+allow_redefinition = "True"
+disable_error_code = "typeddict-item, return-value"
+
+# Optional conformance test dependency ships without a py.typed marker.
+[[tool.mypy.overrides]]
+module = "langgraph.checkpoint.conformance.*"
+ignore_missing_imports = true

libs/checkpoint/tests/test_conformance_delta.py

@@ -2,6 +2,8 @@
 
 from __future__ import annotations
 
+from collections.abc import AsyncIterator
+
 import pytest
 
 conformance = pytest.importorskip(
@@ -11,14 +13,14 @@ conformance = pytest.importorskip(
 
 
 @pytest.mark.asyncio
-async def test_delta_channel_conformance():
+async def test_delta_channel_conformance() -> None:
     from langgraph.checkpoint.conformance import validate
     from langgraph.checkpoint.conformance.initializer import checkpointer_test
 
     from langgraph.checkpoint.memory import InMemorySaver
 
     @checkpointer_test(name="InMemorySaver")
-    async def mem_saver():
+    async def mem_saver() -> AsyncIterator[InMemorySaver]:
         yield InMemorySaver()
 
     report = await validate(

libs/checkpoint/tests/test_store.py

@@ -1,3 +1,4 @@
+# mypy: disable-error-code="operator"
 import asyncio
 import json
 from collections.abc import Iterable

libs/checkpoint/uv.lock

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 version = "5.0.1"
@@ -311,6 +351,7 @@ dependencies = [
 dev = [
     { name = "codespell" },
     { name = "dataclasses-json" },
+    { name = "mypy" },
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@@ -322,12 +363,11 @@ dev = [
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     { name = "redis" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
     { name = "codespell" },
+    { name = "mypy" },
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-    { name = "ty" },
 ]
 test = [
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@@ -352,6 +392,7 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "dataclasses-json" },
+    { name = "mypy" },
     { name = "numpy" },
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     { name = "redis" },
     { name = "ruff" },
-    { name = "ty" },
 ]
 lint = [
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+    { name = "mypy" },
     { name = "ruff" },
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libs/cli/Makefile

@@ -16,19 +16,21 @@ test-integration:
 
 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
 lint_package: PYTHON_FILES=langgraph_cli
 lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
 	uv run ruff check .
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run ty check $(PYTHON_FILES)
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 type:
-	uv run ty check $(PYTHON_FILES)
+	mkdir -p $(MYPY_CACHE) && uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
 
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)

libs/cli/README.md

@@ -1,47 +1,29 @@
 # LangGraph CLI
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-cli?label=%20)](https://pypi.org/project/langgraph-cli/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph-cli)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-cli)](https://pypistats.org/packages/langgraph-cli)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
+The official command-line interface for LangGraph, providing tools to create, develop, and deploy LangGraph applications.
 
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
-
-## Quick Install
+## Installation
 
+Install via pip:
 ```bash
-uv add langgraph-cli
+pip install langgraph-cli
 ```
 
-## 🤔 What is this?
-
-The LangGraph CLI is the official command-line interface for LangGraph. It provides tools to create, develop, build, and run LangGraph applications locally or in Docker.
-
-## 📖 Documentation
-
-For full documentation, see the [LangGraph CLI reference](https://reference.langchain.com/python/langgraph-cli). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
-
 For development mode with hot reloading:
-
 ```bash
-uv add "langgraph-cli[inmem]"
+pip install "langgraph-cli[inmem]"
 ```
 
 ## Commands
 
 ### `langgraph new` 🌱
-
-Create a new LangGraph project from a template.
-
+Create a new LangGraph project from a template
 ```bash
 langgraph new [PATH] --template TEMPLATE_NAME
 ```
 
 ### `langgraph dev` 🏃‍♀️
-
-Run LangGraph API server in development mode with hot reloading.
-
+Run LangGraph API server in development mode with hot reloading
 ```bash
 langgraph dev [OPTIONS]
   --host TEXT                 Host to bind to (default: 127.0.0.1)
@@ -53,9 +35,7 @@ langgraph dev [OPTIONS]
 ```
 
 ### `langgraph up` 🚀
-
-Launch LangGraph API server in Docker.
-
+Launch LangGraph API server in Docker
 ```bash
 langgraph up [OPTIONS]
   -p, --port INTEGER        Port to expose (default: 8123)
@@ -67,9 +47,7 @@ langgraph up [OPTIONS]
 ```
 
 ### `langgraph build`
-
-Build a Docker image for your LangGraph application.
-
+Build a Docker image for your LangGraph application
 ```bash
 langgraph build -t IMAGE_TAG [OPTIONS]
   --platform TEXT          Target platforms (e.g., linux/amd64,linux/arm64)
@@ -78,9 +56,7 @@ langgraph build -t IMAGE_TAG [OPTIONS]
 ```
 
 ### `langgraph dockerfile`
-
-Generate a Dockerfile for custom deployments.
-
+Generate a Dockerfile for custom deployments
 ```bash
 langgraph dockerfile SAVE_PATH [OPTIONS]
   -c, --config FILE       Config file path
@@ -92,18 +68,18 @@ The CLI uses a `langgraph.json` configuration file with these key settings:
 
 ```json
 {
-  "dependencies": ["langchain_openai", "./your_package"],
+  "dependencies": ["langchain_openai", "./your_package"],  // Required: Package dependencies
   "graphs": {
-    "my_graph": "./your_package/file.py:graph"
+    "my_graph": "./your_package/file.py:graph"            // Required: Graph definitions
   },
-  "env": "./.env",
-  "python_version": "3.11",
-  "pip_config_file": "./pip.conf",
-  "dockerfile_lines": []
+  "env": "./.env",                                        // Optional: Environment variables
+  "python_version": "3.11",                               // Optional: Python version (3.11/3.12)
+  "pip_config_file": "./pip.conf",                        // Optional: pip configuration
+  "dockerfile_lines": []                                  // Optional: Additional Dockerfile commands
 }
 ```
 
-See the [full documentation](https://reference.langchain.com/python/langgraph-cli) for detailed configuration options.
+See the [full documentation](https://langchain-ai.github.io/langgraph/cloud/reference/cli/) for detailed configuration options.
 
 ## Development
 
@@ -111,26 +87,19 @@ To develop the CLI itself:
 
 1. Clone the repository
 2. Navigate to the CLI directory: `cd libs/cli`
-3. Install development dependencies: `uv sync`
+3. Install development dependencies: `uv pip install`
 4. Make your changes to the CLI code
 5. Test your changes:
+   ```bash
+   # Run CLI commands directly
+   uv run langgraph --help
+   
+   # Or use the examples
+   cd examples
+   uv pip install
+   uv run langgraph dev  # or other commands
+   ```
 
-```bash
-# Run CLI commands directly
-uv run langgraph --help
+## License
 
-# Or use the examples
-cd examples
-uv sync
-uv run langgraph dev  # or other commands
-```
-
-## 📕 Releases & Versioning
-
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
-
-## 💁 Contributing
-
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
-
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
+This project is licensed under the terms specified in the repository's LICENSE file.

libs/cli/js-examples/README.md

@@ -10,7 +10,7 @@ This template demonstrates a simple chatbot implemented using [LangGraph.js](htt
 
 The core logic, defined in `src/agent/graph.ts`, showcases a straightforward chatbot that responds to user queries while maintaining context from previous messages.
 
-## 🤔 What is this?
+## What it does
 
 The simple chatbot:
 
@@ -20,10 +20,6 @@ The simple chatbot:
 
 This template provides a foundation that can be easily customized and extended to create more complex conversational agents.
 
-## 📖 Documentation
-
-For JavaScript and TypeScript documentation, see the [LangGraph.js docs](https://docs.langchain.com/oss/javascript/langgraph/overview). LangGraph Studio also integrates with [LangSmith](https://smith.langchain.com/) for tracing and collaboration with teammates.
-
 ## Getting Started
 
 Assuming you have already [installed LangGraph Studio](https://github.com/langchain-ai/langgraph-studio?tab=readme-ov-file#download), to set up:

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

@@ -13,6 +13,6 @@
     "@langchain/langgraph": "^1.3.3"
   },
   "devDependencies": {
-    "typescript": "^6.0.3"
+    "typescript": "^5.9.3"
   }
 }

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

@@ -9,6 +9,6 @@
     "clean": "rm -rf dist"
   },
   "devDependencies": {
-    "typescript": "^6.0.3"
+    "typescript": "^5.9.3"
   }
 }

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

@@ -18,7 +18,7 @@
   },
   "devDependencies": {
     "turbo": "^2.9.16",
-    "typescript": "^6.0.3",
+    "typescript": "^5.9.3",
     "@tsconfig/recommended": "^1.0.13",
     "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",

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

@@ -3,7 +3,7 @@
   "compilerOptions": {
     "target": "ES2022",
     "module": "ESNext",
-    "moduleResolution": "bundler",
+    "moduleResolution": "node",
     "allowSyntheticDefaultImports": true,
     "esModuleInterop": true,
     "skipLibCheck": true,

libs/cli/js-monorepo-example/yarn.lock

@@ -1866,10 +1866,10 @@ typed-array-length@^1.0.7:
     possible-typed-array-names "^1.0.0"
     reflect.getprototypeof "^1.0.6"
 
-typescript@^6.0.3:
-  version "6.0.3"
-  resolved "https://registry.yarnpkg.com/typescript/-/typescript-6.0.3.tgz#90251dc007916e972786cb94d74d15b185577d21"
-  integrity sha512-y2TvuxSZPDyQakkFRPZHKFm+KKVqIisdg9/CZwm9ftvKXLP8NRWj38/ODjNbr43SsoXqNuAisEf1GdCxqWcdBw==
+typescript@^5.9.3:
+  version "5.9.3"
+  resolved "https://registry.yarnpkg.com/typescript/-/typescript-5.9.3.tgz#5b4f59e15310ab17a216f5d6cf53ee476ede670f"
+  integrity sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==
 
 unbox-primitive@^1.1.0:
   version "1.1.0"

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.30"
+__version__ = "0.4.27"

libs/cli/langgraph_cli/cli.py

@@ -159,14 +159,7 @@ OPT_POSTGRES_URI = click.option(
 OPT_API_VERSION = click.option(
     "--api-version",
     type=str,
-    help=(
-        "API server version to use for the base image. If unspecified, the "
-        "latest stable version will be used. Compatible ranges like "
-        "~=0.11.0.dev5 stay on 0.11.0.dev5 while only newer dev builds exist, "
-        "then resolve to the newest matching rc or stable release, for example "
-        "0.11.0rc1 or 0.11.0. Stable-floating ranges like >~=0.11.0.dev5 "
-        "can also pick up future stable releases, for example 0.12.0."
-    ),
+    help="API server version to use for the base image. If unspecified, the latest version will be used.",
 )
 
 OPT_ENGINE_RUNTIME_MODE = click.option(
@@ -731,30 +724,6 @@ def dockerfile(
     default="WARNING",
     help="Set the log level for the API server.",
 )
-@click.option(
-    "--ssl-certfile",
-    type=click.Path(
-        exists=True,
-        file_okay=True,
-        dir_okay=False,
-        resolve_path=True,
-        path_type=pathlib.Path,
-    ),
-    default=None,
-    help="Path to an SSL certificate file for serving the development server over HTTPS.",
-)
-@click.option(
-    "--ssl-keyfile",
-    type=click.Path(
-        exists=True,
-        file_okay=True,
-        dir_okay=False,
-        resolve_path=True,
-        path_type=pathlib.Path,
-    ),
-    default=None,
-    help="Path to an SSL key file for serving the development server over HTTPS.",
-)
 @cli.command(
     "dev",
     help="🏃‍♀️‍➡️ Run LangGraph API server in development mode with hot reloading and debugging support",
@@ -773,20 +742,8 @@ def dev(
     allow_blocking: bool,
     tunnel: bool,
     server_log_level: str,
-    ssl_certfile: pathlib.Path | None,
-    ssl_keyfile: pathlib.Path | None,
 ):
     """CLI entrypoint for running the LangGraph API server."""
-    if (ssl_certfile is None) != (ssl_keyfile is None):
-        raise click.UsageError(
-            "Both --ssl-certfile and --ssl-keyfile must be provided to enable HTTPS."
-        )
-
-    if ssl_certfile and ssl_keyfile and tunnel:
-        raise click.UsageError(
-            "Cannot use --tunnel with SSL options. Please choose either to serve over HTTPS or to expose via a tunnel, but not both."
-        )
-
     try:
         from langgraph_api.cli import run_server  # type: ignore
     except ImportError:
@@ -857,8 +814,6 @@ def dev(
         server_level=server_log_level,
         checkpointer=config_json.get("checkpointer"),
         disable_persistence=config_json.get("disable_persistence", False),
-        ssl_certfile=ssl_certfile,
-        ssl_keyfile=ssl_keyfile,
     )
 
 

libs/cli/langgraph_cli/config.py

@@ -9,7 +9,6 @@ from collections import Counter
 from typing import Literal, NamedTuple
 
 import click
-import httpx
 
 from langgraph_cli.schemas import Config, Distros
 from langgraph_cli.uv_lock import python_config_to_docker_uv_lock
@@ -42,31 +41,6 @@ _API_VERSION_PATTERN = re.compile(
     r"(?:\.(?P<patch>\d+))?"
     r"(?:(?:\.|)(?:[A-Za-z][0-9A-Za-z]*))?$"
 )
-_API_VERSION_RANGE_PATTERN = re.compile(r"^(?P<operator>~=|>~=)\s*(?P<version>.+)$")
-_API_VERSION_PART_PATTERN = re.compile(
-    r"^(?P<major>\d+)"
-    r"(?:\.(?P<minor>\d+))?"
-    r"(?:\.(?P<patch>\d+))?"
-    r"(?:(?:\.|)(?P<pre>dev|rc)(?P<pre_n>\d+))?$"
-)
-
-
-class _ParsedApiVersion(NamedTuple):
-    release: tuple[int, ...]
-    prerelease: str | None
-    prerelease_number: int
-
-
-class _ApiVersionRange(NamedTuple):
-    floor: _ParsedApiVersion
-    allow_future_stable: bool
-
-
-_PRERELEASE_ORDER = {
-    "dev": 0,
-    "rc": 1,
-    None: 2,
-}
 
 
 def has_disallowed_build_command_content(command: str) -> bool:
@@ -167,133 +141,6 @@ def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
     return tuple(int(part) for part in match.groups() if part is not None)
 
 
-def _parse_api_version(version_str: str) -> _ParsedApiVersion:
-    match = _API_VERSION_PART_PATTERN.fullmatch(version_str)
-    if not match:
-        raise ValueError("Version must be major or major.minor or major.minor.patch.")
-    release = tuple(
-        int(part)
-        for part in (
-            match.group("major"),
-            match.group("minor"),
-            match.group("patch"),
-        )
-        if part is not None
-    )
-    prerelease = match.group("pre")
-    prerelease_number = int(match.group("pre_n") or 0)
-    return _ParsedApiVersion(release, prerelease, prerelease_number)
-
-
-def _api_version_sort_key(
-    version: _ParsedApiVersion,
-) -> tuple[tuple[int, ...], int, int]:
-    return (
-        version.release,
-        _PRERELEASE_ORDER[version.prerelease],
-        version.prerelease_number,
-    )
-
-
-def _api_version_upper_bound(version: _ParsedApiVersion) -> tuple[int, ...]:
-    release = version.release
-    if len(release) <= 2:
-        return (release[0] + 1,)
-    return (release[0], release[1] + 1)
-
-
-def _is_compatible_api_version_candidate(
-    candidate: _ParsedApiVersion,
-    version_range: _ApiVersionRange,
-    upper_bound: tuple[int, ...],
-) -> bool:
-    floor = version_range.floor
-    if _api_version_sort_key(candidate) < _api_version_sort_key(floor):
-        return False
-    outside_compatible_range = candidate.release[: len(upper_bound)] >= upper_bound
-    if outside_compatible_range and not version_range.allow_future_stable:
-        return False
-    if outside_compatible_range and candidate.prerelease is not None:
-        return False
-    if floor.prerelease == "dev" and candidate.prerelease == "dev":
-        return candidate == floor
-    return True
-
-
-def _ensure_compatible_api_version_base_image(base_image: str) -> None:
-    if ":" in base_image:
-        raise click.UsageError(
-            "Compatible api_version ranges cannot be used with a tagged base_image."
-        )
-
-
-def _get_pypi_versions(package_name: str) -> list[str]:
-    try:
-        response = httpx.get(
-            f"https://pypi.org/pypi/{package_name}/json",
-            timeout=10,
-        )
-        response.raise_for_status()
-    except httpx.HTTPError as exc:
-        raise click.UsageError(
-            f"Failed to fetch PyPI versions for {package_name}: {exc}"
-        ) from None
-    payload = response.json()
-    releases = payload.get("releases", {})
-    if not isinstance(releases, dict):
-        raise click.UsageError(
-            f"Failed to fetch PyPI versions for {package_name}: invalid response."
-        )
-    return [version for version in releases if isinstance(version, str)]
-
-
-def _resolve_compatible_api_version(
-    api_version: str,
-    base_image: str,
-    version_distro_tag: str,
-) -> str:
-    match = _API_VERSION_RANGE_PATTERN.fullmatch(api_version)
-    if not match:
-        return api_version
-
-    floor_str = match.group("version").strip()
-    try:
-        floor = _parse_api_version(floor_str)
-    except ValueError:
-        raise click.UsageError(
-            f"Invalid compatible api_version range: {api_version}.\n\n"
-            "Use a compatible version range, e.g.:\n"
-            '  "api_version": "~=0.11.0.dev5"\n'
-            "or a stable-floating range, e.g.:\n"
-            '  "api_version": ">~=0.11.0.dev5"'
-        ) from None
-
-    version_range = _ApiVersionRange(
-        floor=floor,
-        allow_future_stable=match.group("operator") == ">~=",
-    )
-    _ensure_compatible_api_version_base_image(base_image)
-    pypi_versions = _get_pypi_versions("langgraph-api")
-
-    candidates: list[tuple[_ParsedApiVersion, str]] = []
-    upper_bound = _api_version_upper_bound(floor)
-    for candidate_str in pypi_versions:
-        try:
-            candidate = _parse_api_version(candidate_str)
-        except ValueError:
-            continue
-        if _is_compatible_api_version_candidate(candidate, version_range, upper_bound):
-            candidates.append((candidate, candidate_str))
-
-    if not candidates:
-        raise click.UsageError(
-            f"No PyPI releases match compatible api_version range {api_version!r} "
-            f"for {base_image} with {version_distro_tag!r}."
-        )
-
-    return max(candidates, key=lambda item: _api_version_sort_key(item[0]))[1]
-
-
 def _is_node_graph(spec: str | dict) -> bool:
     """Check if a graph is a Node.js graph based on the file extension."""
     if isinstance(spec, dict):
@@ -347,12 +194,7 @@ def validate_config(config: Config) -> Config:
             )
     if api_version:
         try:
-            compatible_match = _API_VERSION_RANGE_PATTERN.fullmatch(api_version)
-            parts = _parse_api_version_parts(
-                compatible_match.group("version").strip()
-                if compatible_match
-                else api_version
-            )
+            parts = _parse_api_version_parts(api_version)
             if len(parts) > 3:
                 raise ValueError(
                     "Version must be major or major.minor or major.minor.patch."
@@ -1588,9 +1430,6 @@ def docker_tag(
 
     # Prepend API version if provided
     if api_version:
-        api_version = _resolve_compatible_api_version(
-            api_version, base_image, f"{language}{version_distro_tag}"
-        )
         full_tag = f"{api_version}-{language}{version_distro_tag}"
     elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
         return f"{base_image}-{language}{version_distro_tag}"

libs/cli/pyproject.toml

@@ -23,7 +23,7 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.12.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.10.0 ; python_version >= '3.11'",
     "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]
 
@@ -47,7 +47,7 @@ test = [
 lint = [
     "ruff",
     "codespell",
-    "ty",
+    "mypy",
 ]
 dev = [
     {include-group = "test"},
@@ -76,17 +76,3 @@ lint.select = [
 ]
 lint.ignore = ["E501", "B008"]
 target-version = "py310"
-
-[tool.ty.rules]
-invalid-argument-type = "ignore"
-invalid-assignment = "ignore"
-invalid-key = "ignore"
-invalid-parameter-default = "ignore"
-invalid-return-type = "ignore"
-missing-argument = "ignore"
-no-matching-overload = "ignore"
-not-subscriptable = "ignore"
-unused-type-ignore-comment = "ignore"
-unresolved-attribute = "ignore"
-unresolved-import = "ignore"
-unsupported-operator = "ignore"

libs/cli/python-monorepo-example/pyproject.toml

@@ -19,7 +19,7 @@ members = ["apps/*", "libs/shared"]
 shared = { workspace = true }
 
 [project.optional-dependencies]
-dev = ["ruff>=0.6.1", "ty"]
+dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
 
 [build-system]
 requires = ["setuptools>=73.0.0", "wheel"]
@@ -43,4 +43,4 @@ lint.ignore = [
 ]
 
 [tool.ruff.lint.pydocstyle]
-convention = "google"
+convention = "google"

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

@@ -7,7 +7,6 @@ import textwrap
 from contextlib import contextmanager
 from pathlib import Path
 
-import click
 from click.testing import CliRunner
 
 import langgraph_cli.deploy as deploy_module
@@ -320,31 +319,6 @@ def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
     assert "[Beta] List LangSmith Deployments." in deploy_list_line
 
 
-def test_dev_command_requires_ssl_certfile_and_keyfile_together(tmp_path) -> None:
-    config_path = tmp_path / "langgraph.json"
-    config_path.write_text(
-        json.dumps({"dependencies": [], "graphs": {"agent": "./agent.py:graph"}}),
-        encoding="utf-8",
-    )
-    certfile = tmp_path / "cert.pem"
-    certfile.write_text("cert", encoding="utf-8")
-
-    runner = CliRunner()
-    result = runner.invoke(
-        cli,
-        [
-            "dev",
-            "--config",
-            str(config_path),
-            "--ssl-certfile",
-            str(certfile),
-        ],
-    )
-
-    assert result.exit_code != 0
-    assert "Both --ssl-certfile and --ssl-keyfile must be provided" in result.output
-
-
 def test_deploy_list_command(monkeypatch) -> None:
     runner = CliRunner()
     captured: dict[str, str] = {}
@@ -602,8 +576,7 @@ def test_deploy_delete_command(monkeypatch) -> None:
         "deployment_id": "dep-123",
     }
     assert (
-        "Are you sure you want to delete deployment ID dep-123? (Y/n):"
-        in click.unstyle(result.output)
+        "Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
     )
     assert result.output.strip().endswith("Deleted deployment dep-123.")
 

libs/cli/tests/unit_tests/test_archive.py

@@ -71,6 +71,7 @@ class TestBuildIgnoreSpec:
         assert spec.match_file("venv/")
         assert spec.match_file("node_modules/")
         assert spec.match_file(".tox/")
+        assert spec.match_file(".mypy_cache/")
 
     def test_regular_file_not_excluded(self, tmp_path):
         spec = _build_ignore_spec(tmp_path)

libs/cli/tests/unit_tests/test_config.py

@@ -2961,163 +2961,6 @@ def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
     assert tag == f"langchain/langgraph-api:{version}-py3.11"
 
 
-def test_docker_tag_with_compatible_api_version_promotes_to_latest_patch():
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "image_distro": "wolfi",
-            "api_version": "~=0.11.0.dev5",
-        }
-    )
-
-    with patch(
-        "langgraph_cli.config._get_pypi_versions",
-        return_value=[
-            "0.11.0.dev5",
-            "0.11.0.dev6",
-            "0.11.0rc1",
-            "0.11.0",
-            "0.11.1rc1",
-            "0.11.1",
-            "0.12.0rc1",
-        ],
-    ) as get_versions:
-        tag = docker_tag(config)
-
-    get_versions.assert_called_once_with("langgraph-api")
-    assert tag == "langchain/langgraph-api:0.11.1-py3.12-wolfi"
-
-
-def test_docker_tag_with_compatible_api_version_freezes_dev_until_rc():
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "api_version": "~=0.11.0.dev5",
-        }
-    )
-
-    with patch(
-        "langgraph_cli.config._get_pypi_versions",
-        return_value=[
-            "0.11.0.dev5",
-            "0.11.0.dev6",
-            "0.11.0.dev7",
-        ],
-    ):
-        tag = docker_tag(config)
-
-    assert tag == "langchain/langgraph-api:0.11.0.dev5-py3.12"
-
-
-def test_docker_tag_with_stable_floating_api_version_promotes_to_future_stable():
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "image_distro": "wolfi",
-            "api_version": ">~=0.11.0.dev5",
-        }
-    )
-
-    with patch(
-        "langgraph_cli.config._get_pypi_versions",
-        return_value=[
-            "0.11.0.dev5",
-            "0.11.0.dev6",
-            "0.11.0rc1",
-            "0.11.0",
-            "0.11.1",
-            "0.12.0rc1",
-            "0.12.0",
-            "0.13.0.dev1",
-            "0.13.0",
-        ],
-    ) as get_versions:
-        tag = docker_tag(config)
-
-    get_versions.assert_called_once_with("langgraph-api")
-    assert tag == "langchain/langgraph-api:0.13.0-py3.12-wolfi"
-
-
-def test_docker_tag_with_stable_floating_api_version_ignores_future_prereleases():
-    config = validate_config(
-        {
-            "python_version": "3.12",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "api_version": ">~=0.11.0.dev5",
-        }
-    )
-
-    with patch(
-        "langgraph_cli.config._get_pypi_versions",
-        return_value=[
-            "0.11.0.dev5",
-            "0.11.0",
-            "0.12.0rc1",
-            "0.12.0.dev1",
-        ],
-    ):
-        tag = docker_tag(config)
-
-    assert tag == "langchain/langgraph-api:0.11.0-py3.12"
-
-
-def test_validate_config_rejects_unrecognized_api_version_range_operator():
-    with pytest.raises(click.UsageError, match="Invalid version format"):
-        validate_config(
-            {
-                "python_version": "3.12",
-                "dependencies": ["."],
-                "graphs": {"agent": "./agent.py:graph"},
-                "api_version": "~>=0.11.0.dev5",
-            }
-        )
-
-
-def test_docker_tag_with_compatible_api_version_supports_node_images():
-    config = validate_config(
-        {
-            "node_version": "20",
-            "graphs": {"agent": "./agent.js:graph"},
-            "image_distro": "wolfi",
-            "api_version": "~=1.2.4",
-        }
-    )
-
-    with patch(
-        "langgraph_cli.config._get_pypi_versions",
-        return_value=[
-            "1.2.4",
-            "1.2.5",
-            "1.3.0",
-        ],
-    ) as get_versions:
-        tag = docker_tag(config)
-
-    get_versions.assert_called_once_with("langgraph-api")
-    assert tag == "langchain/langgraphjs-api:1.2.5-node20-wolfi"
-
-
-def test_docker_tag_with_compatible_api_version_rejects_tagged_base_image():
-    config = validate_config(
-        {
-            "python_version": "3.11",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "api_version": "~=0.11.0.dev5",
-        }
-    )
-
-    with pytest.raises(click.UsageError, match="tagged base_image"):
-        docker_tag(config, base_image="langchain/langgraph-api:0.11.0")
-
-
 def test_config_to_docker_with_api_version():
     """Test config_to_docker function with api_version parameter."""
 

libs/cli/uv-examples/monorepo/uv.lock

@@ -237,14 +237,14 @@ wheels = [
 
 [[package]]
 name = "langchain-protocol"
-version = "0.0.17"
+version = "0.0.15"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "typing-extensions" },
 ]
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-
 [[package]]
 name = "xxhash"
 version = "3.6.0"

libs/langgraph/Makefile

@@ -111,19 +111,22 @@ test_watch_all:
 
 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E r'\.py$$|\.ipynb$$')
 lint_package: PYTHON_FILES=langgraph
 lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
 	uv run ruff check .
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run ty check langgraph
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
+	[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
 
 type:
-	uv run ty check langgraph
+	mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --cache-dir $(MYPY_CACHE)
 
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)

libs/langgraph/README.md

@@ -1,45 +1,100 @@
-# 🦜🕸️ LangGraph
+<div align="center">
+  <a href="https://www.langchain.com/langgraph">
+    <picture>
+      <source media="(prefers-color-scheme: dark)" srcset="../../.github/images/logo-dark.svg">
+      <source media="(prefers-color-scheme: light)" srcset="../../.github/images/logo-light.svg">
+      <img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
+    </picture>
+  </a>
+</div>
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph?label=%20)](https://pypi.org/project/langgraph/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph)](https://pypistats.org/packages/langgraph)
-[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
+<div align="center">
+  <h3>Low-level orchestration framework for building stateful agents.</h3>
+</div>
 
-Looking for the JS/TS version? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs).
+<div align="center">
+  <a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
+  <a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
+  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
+  <a href="https://github.com/langchain-ai/langgraph/issues" target="_blank"><img src="https://img.shields.io/github/issues-raw/langchain-ai/langgraph" alt="Open Issues"></a>
+  <a href="https://docs.langchain.com/oss/python/langgraph/overview" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue" alt="Docs"></a>
+  <a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
+</div>
 
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
+<br>
 
-## Quick Install
+Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
 
-```bash
-uv add langgraph
+## Get started
+
+Install LangGraph:
+
+```
+pip install -U langgraph
 ```
 
-## 🤔 What is this?
+Create a simple workflow:
 
-LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents. LangGraph provides the infrastructure for durable execution, streaming, human-in-the-loop, persistence, memory, and more.
+```python
+from langgraph.graph import START, StateGraph
+from typing_extensions import TypedDict
 
-We recommend you use LangGraph when you have advanced needs that require a combination of deterministic and agentic workflows, heavy customization, and carefully controlled latency. Use [LangChain](https://docs.langchain.com/oss/python/langchain/overview) when you want to quickly build agents and applications powered by LLMs using pre-built agent architectures and model integrations.
 
-LangChain [agents](https://docs.langchain.com/oss/python/langchain/agents) are built on top of LangGraph in order to provide durable execution, streaming, human-in-the-loop, persistence, and more. (You do not need to know LangGraph for basic LangChain agent usage.)
+class State(TypedDict):
+    text: str
 
-Trusted by companies shaping the future of agents – including Klarna, Replit, Elastic, and more – LangGraph is used to ship AI applications at scale.
 
-## 📖 Documentation
+def node_a(state: State) -> dict:
+    return {"text": state["text"] + "a"}
 
-For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph/). For conceptual guides, tutorials, and examples on using LangGraph, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview). Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
 
-## 📕 Releases & Versioning
+def node_b(state: State) -> dict:
+    return {"text": state["text"] + "b"}
 
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
 
-## 💁 Contributing
+graph = StateGraph(State)
+graph.add_node("node_a", node_a)
+graph.add_node("node_b", node_b)
+graph.add_edge(START, "node_a")
+graph.add_edge("node_a", "node_b")
 
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
+print(graph.compile().invoke({"text": ""}))
+# {'text': 'ab'}
+```
 
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
+Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
+
+To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
+
+## Core benefits
+
+LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
+
+- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
+- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
+- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
+- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
+- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
+
+## LangGraph’s ecosystem
+
+While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
+
+- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
+- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
+- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
+
+> [!NOTE]
+> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
+
+## Additional resources
+
+- [Guides](https://docs.langchain.com/oss/python/langgraph/guides): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
+- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
+- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
+- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
+- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
 
 ## Acknowledgements
 

libs/langgraph/langgraph/_internal/_config.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from collections import ChainMap
-from collections.abc import Mapping, Sequence
+from collections.abc import Sequence
 from os import getenv
 from typing import Any, cast
 
@@ -20,7 +20,6 @@ from langchain_core.runnables.config import (
 from langgraph.checkpoint.base import CheckpointMetadata
 
 from langgraph._internal._constants import (
-    _CHECKPOINT_COORDINATE_KEYS,
     CONF,
     CONFIG_KEY_CHECKPOINT_ID,
     CONFIG_KEY_CHECKPOINT_MAP,
@@ -80,42 +79,6 @@ def patch_checkpoint_map(
         return config
 
 
-def _copy_mapping_value(value: Any) -> Any:
-    return dict(value) if isinstance(value, Mapping) else value
-
-
-def _merge_metadata(
-    base: Mapping[str, Any] | None, new: Mapping[str, Any] | None
-) -> dict[str, Any]:
-    """Merge metadata without mutating inputs.
-
-    Top-level keys merge with newer values winning. `lc_versions` is the only
-    mapping-valued key that merges one level deeper, so independent LangChain
-    packages can contribute package versions without changing generic metadata
-    semantics. Mapping values are copied one level, so deeper nested objects
-    remain shared. `None` inputs are treated as empty metadata.
-
-    Mirrors `langchain_core.runnables.config._merge_metadata_dicts` so configs
-    that pass through LangGraph's merge keep the same `lc_versions` semantics;
-    keep the two in sync. Unlike lc-core, this copies mapping values one level
-    (intentionally more defensive — do not "simplify" back to a shared ref).
-    """
-    merged = {key: _copy_mapping_value(value) for key, value in (base or {}).items()}
-    for key, value in (new or {}).items():
-        if (
-            key == "lc_versions"
-            and isinstance(merged.get(key), Mapping)
-            and isinstance(value, Mapping)
-        ):
-            merged[key] = {
-                **cast(Mapping[str, Any], merged[key]),
-                **value,
-            }
-        else:
-            merged[key] = _copy_mapping_value(value)
-    return merged
-
-
 def _merge_callbacks(base: Callbacks, new: Callbacks) -> Callbacks:
     """Merge two callbacks values (None / list / BaseCallbackManager).
 
@@ -163,10 +126,10 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
             if not value:
                 continue
             if key == "metadata":
-                base[key] = _merge_metadata(
-                    cast(Mapping[str, Any] | None, base.get(key)),
-                    cast(Mapping[str, Any], value),
-                )
+                if base_value := base.get(key):
+                    base[key] = {**base_value, **value}  # type: ignore
+                else:
+                    base[key] = value  # type: ignore[literal-required]
             elif key == "tags":
                 if base_value := base.get(key):
                     base[key] = [*base_value, *value]  # type: ignore
@@ -343,28 +306,6 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
                 if _is_not_empty(v)
             },
         )
-    # An explicit config that supplies its own checkpoint coordinate (a
-    # thread_id, or any checkpoint_ns/checkpoint_id/checkpoint_map) is addressing
-    # its own checkpoint lineage, so drop the inherited ambient configurable
-    # rather than merging over it: a child graph invoked inside a parent node
-    # would otherwise write its checkpoints under the parent's namespace and
-    # never find them again. An explicit thread_id resets even when it equals the
-    # ambient one, since a child reusing the parent's thread id still addresses
-    # its own root namespace, not the parent task's. Configs that only refine
-    # other keys keep the ambient and shallow-merge over it below.
-    if empty.get(CONF):
-        for config in configs:
-            if config is None:
-                continue
-            explicit_configurable = config.get(CONF)
-            if not explicit_configurable:
-                continue
-            if any(
-                _is_not_empty(explicit_configurable.get(k))
-                for k in _CHECKPOINT_COORDINATE_KEYS
-            ):
-                empty[CONF] = {}
-                break
     for config in configs:
         if config is None:
             continue
@@ -386,11 +327,14 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
                         empty.get("callbacks"), cast(Callbacks, v)
                     )
                 elif k == "metadata":
-                    # Matches merge_configs: top-level metadata keys merge, and
-                    # only `lc_versions` merges one level deeper.
-                    empty["metadata"] = _merge_metadata(
-                        cast(Mapping[str, Any] | None, empty.get("metadata")),
-                        cast(Mapping[str, Any], v),
+                    # Shallow-merge metadata dicts across configs so values
+                    # bound via with_config(...) (e.g. user_id) are preserved
+                    # when later configs supply other metadata keys.
+                    existing = empty.get("metadata")
+                    empty["metadata"] = (
+                        {**cast(dict, existing), **cast(dict, v)}
+                        if existing
+                        else cast(dict, v).copy()
                     )
                 elif k == "tags":
                     # Concatenate tags across configs so values bound via

libs/langgraph/langgraph/_internal/_constants.py

@@ -95,15 +95,6 @@ NULL_TASK_ID = sys.intern("00000000-0000-0000-0000-000000000000")
 OVERWRITE = sys.intern("__overwrite__")
 # dict key for the overwrite value, used as `{'__overwrite__': value}`
 
-# Checkpoint coordinate keys: when any of these appear in an explicit
-# configurable, the caller is addressing its own checkpoint lineage.
-_CHECKPOINT_COORDINATE_KEYS = (
-    CONFIG_KEY_THREAD_ID,
-    CONFIG_KEY_CHECKPOINT_NS,
-    CONFIG_KEY_CHECKPOINT_ID,
-    CONFIG_KEY_CHECKPOINT_MAP,
-)
-
 # redefined to avoid circular import with langgraph.constants
 _TAG_HIDDEN = sys.intern("langsmith:hidden")
 

libs/langgraph/langgraph/channels/binop.py

@@ -126,7 +126,7 @@ class BinaryOperatorAggregate(Generic[Value], BaseChannel[Value, Value, Value]):
                 seen_overwrite = True
                 continue
             if not seen_overwrite:
-                self.value = self.operator(self.value, value)
+                self.value = self.operator(self.value, value)  # type: ignore[arg-type]
         return True
 
     def get(self) -> Value:

libs/langgraph/langgraph/channels/delta.py

@@ -78,7 +78,7 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
                 f"snapshot_frequency must be a positive int, got {snapshot_frequency}"
             )
         if typ is None:
-            typ = list  # type: ignore[assignment]  # placeholder; overridden by _is_field_channel
+            typ = list  # placeholder; overridden by _is_field_channel
         super().__init__(typ)
         self.reducer = reducer
         self.snapshot_frequency = snapshot_frequency
@@ -177,7 +177,8 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
                 if overwrite_value is not None
                 else self.typ()
             )
-            self.value = base
+            remaining = [v for i, v in enumerate(values) if i != overwrite_idx]
+            self.value = self.reducer(base, remaining) if remaining else base
             return True
         base = self.typ() if self.value is MISSING else self.value
         self.value = self.reducer(base, list(values))

libs/langgraph/langgraph/func/__init__.py

@@ -81,11 +81,11 @@ class _TaskFunction(Generic[P, T]):
         self.retry_policy = retry_policy
         self.cache_policy = cache_policy
         self.timeout = timeout
-        functools.update_wrapper(self, func)
+        functools.update_wrapper(self, func)  # type: ignore[arg-type]
 
     def __call__(self, *args: P.args, **kwargs: P.kwargs) -> SyncAsyncFuture[T]:
         return _call_with_options(
-            self.func,
+            self.func,  # type: ignore[arg-type]
             args,
             kwargs,
             retry_policy=self.retry_policy,
@@ -220,7 +220,7 @@ def task(
             stacklevel=2,
         )
         if retry_policy is None:
-            retry_policy = retry  # type: ignore[assignment]
+            retry_policy = cast("RetryPolicy | Sequence[RetryPolicy] | None", retry)
     timeout_policy = coerce_timeout_policy(timeout)
 
     retry_policies: Sequence[RetryPolicy] = (

libs/langgraph/langgraph/graph/message.py

@@ -187,9 +187,9 @@ def add_messages(
     remove_all_idx = None
     # coerce to list
     if not isinstance(left, list):
-        left = [left]  # type: ignore[assignment]
+        left = [left]
     if not isinstance(right, list):
-        right = [right]  # type: ignore[assignment]
+        right = [right]
     # coerce to message
     left = [
         message_chunk_to_message(cast(BaseMessageChunk, m))

libs/langgraph/langgraph/graph/state.py

@@ -754,7 +754,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 category=LangGraphDeprecatedSinceV05,
             )
             if retry_policy is None:
-                retry_policy = retry  # type: ignore[assignment]
+                retry_policy = cast("RetryPolicy | Sequence[RetryPolicy] | None", retry)
 
         if (input_ := kwargs.get("input", MISSING)) is not MISSING:
             warnings.warn(

libs/langgraph/langgraph/pregel/_runner.py

@@ -780,10 +780,10 @@ 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(asyncio.Future | concurrent.futures.Future, fut)
+    chained_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())
+    return chain_future(chained_fut, concurrent.futures.Future())
 
 
 def _acall(

libs/langgraph/langgraph/pregel/main.py

@@ -108,7 +108,6 @@ from langgraph.callbacks import (
     get_sync_graph_callback_manager_for_config,
 )
 from langgraph.channels.base import BaseChannel
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.topic import Topic
 from langgraph.config import get_config
 from langgraph.constants import END
@@ -1997,33 +1996,11 @@ class Pregel(
                     ),
                 )
             # save task writes
-            has_delta_writes = any(
-                isinstance(channels.get(c), DeltaChannel)
-                for task in run_tasks
-                for c, _ in task.writes
-            )
-            should_put_writes = saved is not None or has_delta_writes
-
-            if saved is None and has_delta_writes:
-                # If there is no previous checkpoint, we need to create a stub checkpoint
-                # so the first delta writes has a parent to anchor under.
-                # This is the model of DeltaChannel.
-                stub = empty_checkpoint()
-                checkpoint_config = checkpointer.put(
-                    patch_configurable(
-                        checkpoint_config, {CONFIG_KEY_CHECKPOINT_ID: None}
-                    ),
-                    stub,
-                    {"source": "update", "step": -1, "parents": {}},
-                    {},
-                )
-
             for task_id, task in zip(run_task_ids, run_tasks):
                 # channel writes are saved to current checkpoint
                 channel_writes = [w for w in task.writes if w[0] != PUSH]
-                if should_put_writes and channel_writes:
+                if saved and channel_writes:
                     checkpointer.put_writes(checkpoint_config, channel_writes, task_id)
-
             # apply to checkpoint and save
             apply_writes(
                 checkpoint,
@@ -2464,31 +2441,10 @@ class Pregel(
                     ),
                 )
             # save task writes
-            has_delta_writes = any(
-                isinstance(channels.get(c), DeltaChannel)
-                for task in run_tasks
-                for c, _ in task.writes
-            )
-            should_put_writes = saved is not None or has_delta_writes
-
-            if saved is None and has_delta_writes:
-                # If there is no previous checkpoint, we need to create a stub checkpoint
-                # so the first delta writes has a parent to anchor under.
-                # This is the model of DeltaChannel.
-                stub = empty_checkpoint()
-                checkpoint_config = await checkpointer.aput(
-                    patch_configurable(
-                        checkpoint_config, {CONFIG_KEY_CHECKPOINT_ID: None}
-                    ),
-                    stub,
-                    {"source": "update", "step": -1, "parents": {}},
-                    {},
-                )
-
             for task_id, task in zip(run_task_ids, run_tasks):
                 # channel writes are saved to current checkpoint
                 channel_writes = [w for w in task.writes if w[0] != PUSH]
-                if should_put_writes and channel_writes:
+                if saved and channel_writes:
                     await checkpointer.aput_writes(
                         checkpoint_config, channel_writes, task_id
                     )

libs/langgraph/langgraph/stream/run_stream.py

@@ -132,23 +132,13 @@ class GraphRunStream:
     def abort(self) -> None:
         """Stop the run early.
 
-        Closes the underlying graph iterator (propagating `GeneratorExit`
-        so in-flight nodes and subgraphs are cancelled), closes the mux,
-        and marks the stream exhausted. Idempotent.
+        Closes the mux and marks the stream exhausted. The graph
+        iterator is dropped; any in-flight nodes see the closure on
+        their next yield point. Idempotent.
         """
         if self._exhausted:
             return
         self._exhausted = True
-        graph_iter = self._graph_iter
-        self._graph_iter = None
-        if (
-            graph_iter is not None
-            and (close := getattr(graph_iter, "close", None)) is not None
-        ):
-            try:
-                close()
-            except Exception:
-                pass
         try:
             self._mux.close()
         except Exception:
@@ -358,8 +348,6 @@ class AsyncGraphRunStream:
         self._scope_list: list[str] = list(mux.scope)
         self._pump_cond = asyncio.Condition()
         self._pumping = False
-        self._anext_task: asyncio.Future[Any] | None = None
-        self._aborting = False
         for key in mux.native_keys:
             setattr(self, key, mux.extensions[key])
         if wire_pump:
@@ -419,25 +407,7 @@ class AsyncGraphRunStream:
 
         try:
             try:
-                # Run the pull as a child task so `abort()` can cancel it
-                # mid-flight. Cancelling propagates `CancelledError` into the
-                # graph generator frame -> Pregel loop -> nested subgraph
-                # nodes, which a bare `aclose()` cannot do while the generator
-                # is running ("asynchronous generator is already running").
-                self._anext_task = asyncio.ensure_future(self._graph_aiter.__anext__())
-                try:
-                    part = await self._anext_task
-                except asyncio.CancelledError:
-                    if self._aborting:
-                        # Abort-initiated cancel: stop gracefully.
-                        self._exhausted = True
-                        return False
-                    # Genuine external cancel of this task: also stop the
-                    # in-flight pull, then propagate.
-                    self._anext_task.cancel()
-                    raise
-                finally:
-                    self._anext_task = None
+                part = await self._graph_aiter.__anext__()
                 event = convert_to_protocol_event(part)
                 self._observe_event(event)
                 await self._mux.apush(event)
@@ -458,40 +428,15 @@ class AsyncGraphRunStream:
     async def abort(self) -> None:
         """Stop the run early.
 
-        Marks the stream exhausted and wakes any pump-waiters. Cancels an
-        in-flight pull if one is running, then closes the underlying graph
-        iterator, so running nodes and nested subgraphs are cancelled
-        whether or not a pump is mid-pull. Closes the mux; any `apush`
-        blocked on backpressure wakes and returns without appending.
-        Idempotent.
+        Marks the stream exhausted, wakes any pump-waiters, and closes
+        the mux. Any `apush` blocked on backpressure wakes and returns
+        without appending. Idempotent.
         """
         async with self._pump_cond:
             if self._exhausted:
                 return
             self._exhausted = True
-            self._aborting = True
-            graph_aiter = self._graph_aiter
-            self._graph_aiter = None
-            anext_task = self._anext_task
             self._pump_cond.notify_all()
-        # If a pump is mid-pull, cancel it so the cancellation propagates
-        # into running nodes and nested subgraphs. Once it settles the
-        # generator is no longer running, so the `aclose()` below is a safe
-        # final cleanup (and handles the no-in-flight-pull case directly).
-        if anext_task is not None and not anext_task.done():
-            anext_task.cancel()
-            try:
-                await anext_task
-            except (asyncio.CancelledError, Exception):
-                pass
-        if (
-            graph_aiter is not None
-            and (aclose := getattr(graph_aiter, "aclose", None)) is not None
-        ):
-            try:
-                await aclose()
-            except Exception:
-                pass
         try:
             await self._mux.aclose()
         except Exception:

libs/langgraph/langgraph/types.py

@@ -32,7 +32,7 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10, LangGraphDeprecatedS
 
 # Local TypeVars for generic stream TypedDicts.
 # We use separate TypeVars here (rather than importing from langgraph.typing)
-# because the typing module TypeVars have defaults that cause type checker issues
+# because the typing module TypeVars have defaults that cause mypy issues
 # when used in standalone type aliases.
 StateT = TypeVar("StateT")
 OutputT = TypeVar("OutputT")

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.2.5"
+version = "1.2.4"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -24,7 +24,7 @@ classifiers = [
     'Programming Language :: Python :: 3.13',
 ]
 dependencies = [
-    "langchain-core>=1.4.7,<2",
+    "langchain-core>=1.4.0,<2",
     "langgraph-checkpoint>=4.1.0,<5.0.0",
     "langgraph-sdk>=0.4.2,<0.5.0",
     "langgraph-prebuilt>=1.1.0,<1.2.0",
@@ -69,8 +69,8 @@ test = [
     "redis",
 ]
 lint = [
+    "mypy",
     "ruff",
-    "ty",
     "types-requests",
 ]
 dev = [
@@ -99,24 +99,15 @@ target-version = "py310"
 [tool.ruff.lint.flake8-tidy-imports.banned-api]
 "typing.TypedDict".msg = "Use typing_extensions.TypedDict instead."
 
-[tool.ty.rules]
-call-non-callable = "ignore"
-deprecated = "ignore"
-invalid-argument-type = "ignore"
-invalid-assignment = "ignore"
-invalid-key = "ignore"
-invalid-method-override = "ignore"
-invalid-paramspec = "ignore"
-invalid-return-type = "ignore"
-invalid-type-form = "ignore"
-invalid-yield = "ignore"
-missing-typed-dict-key = "ignore"
-no-matching-overload = "ignore"
-not-iterable = "ignore"
-unused-type-ignore-comment = "ignore"
-unresolved-attribute = "ignore"
-unsupported-base = "ignore"
-unsupported-operator = "ignore"
+[tool.mypy]
+# https://mypy.readthedocs.io/en/stable/config_file.html
+disallow_untyped_defs = "True"
+explicit_package_bases = "True"
+warn_no_return = "False"
+warn_unused_ignores = "True"
+warn_redundant_casts = "True"
+allow_redefinition = "True"
+disable_error_code = "typeddict-item, return-value, override, has-type"
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/langgraph/tests/test_channels.py

@@ -186,18 +186,6 @@ def test_delta_channel_overwrite() -> None:
     assert ch.get()[0].content == "new"
 
 
-def test_delta_channel_overwrite_bypasses_same_step_reducer_writes() -> None:
-    def list_reducer(state: list, writes: list) -> list:
-        out = list(state)
-        for w in writes:
-            out.extend(w)
-        return out
-
-    ch = DeltaChannel(list_reducer, list).from_checkpoint(MISSING)
-    ch.update([[1], Overwrite([50]), [2]])
-    assert ch.get() == [50]
-
-
 def test_delta_channel_remove_message_and_replay() -> None:
     """RemoveMessage must round-trip correctly when writes are replayed."""
     spec = DeltaChannel(_messages_delta_reducer, list)

libs/langgraph/tests/test_delta_channel_update_state.py

@@ -1,294 +0,0 @@
-"""Tests for `update_state` / `aupdate_state` against `DeltaChannel`.
-
-Originally a regression suite for deepagents#3774 — `update_state` on a *fresh*
-thread silently dropped the first write to a `DeltaChannel`-backed channel
-because channel writes were only persisted when a previous checkpoint existed.
-Fixed by lazily persisting an empty stub checkpoint on a fresh thread so the
-first write has a parent to anchor under (mirrors the exit-mode lazy-stub
-pattern in `_loop._put_exit_delta_writes`).
-
-Coverage:
-
-* fresh-thread regression: single `update_state` writes a message and reads back
-* non-fresh thread: `update_state` after `invoke`, after another `update_state`,
-  and `bulk_update_state` with multiple per-superstep updates
-* update-by-id end-to-end via `update_state` (DeltaChannel reducer semantics)
-* state-history chain shape on a fresh thread (lazy stub + update checkpoint
-  with correct parent linking)
-"""
-
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.messages import HumanMessage
-from langgraph.checkpoint.memory import InMemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import START, StateGraph
-from langgraph.graph.message import _messages_delta_reducer
-
-pytestmark = pytest.mark.anyio
-
-
-def _build_graph(checkpointer: InMemorySaver, *, two_nodes: bool = False) -> Any:
-    """Compile a minimal DeltaChannel-backed `messages` graph.
-
-    `two_nodes=True` adds a second writer node so `bulk_update_state` can route
-    distinct updates to different `as_node` values within a single superstep.
-    """
-    channel = DeltaChannel(_messages_delta_reducer)
-    State = TypedDict("State", {"messages": Annotated[list, channel]})  # type: ignore[call-overload]  # noqa: UP013
-
-    def model(state: dict) -> dict:
-        return {}
-
-    def assistant(state: dict) -> dict:
-        return {}
-
-    builder = StateGraph(State)
-    builder.add_node("model", model)
-    builder.add_edge(START, "model")
-    if two_nodes:
-        builder.add_node("assistant", assistant)
-        builder.add_edge("model", "assistant")
-        builder.set_finish_point("assistant")
-    else:
-        builder.set_finish_point("model")
-    return builder.compile(checkpointer=checkpointer)
-
-
-# ---------------------------------------------------------------------------
-# Fresh-thread regression (deepagents#3774)
-# ---------------------------------------------------------------------------
-
-
-def test_update_state_fresh_thread_delta_channel() -> None:
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "fresh-sync"}}
-    message = HumanMessage(content="hello", id="m1")
-
-    graph.update_state(config, {"messages": [message]}, as_node="model")
-
-    state = graph.get_state(config)
-    assert [m.content for m in state.values["messages"]] == ["hello"]
-
-
-async def test_aupdate_state_fresh_thread_delta_channel() -> None:
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "fresh-async"}}
-    message = HumanMessage(content="hello", id="m1")
-
-    await graph.aupdate_state(config, {"messages": [message]}, as_node="model")
-
-    state = await graph.aget_state(config)
-    assert [m.content for m in state.values["messages"]] == ["hello"]
-
-
-# ---------------------------------------------------------------------------
-# Non-fresh thread: update_state after invoke
-# ---------------------------------------------------------------------------
-
-
-def test_update_state_after_invoke_delta_channel() -> None:
-    """The non-fresh-thread path was already working before the fix; pin it
-    down so the lazy-stub change for fresh threads doesn't regress it."""
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "after-invoke-sync"}}
-
-    graph.invoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
-    graph.update_state(
-        config,
-        {"messages": [HumanMessage(content="appended", id="m2")]},
-        as_node="model",
-    )
-
-    state = graph.get_state(config)
-    assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
-    assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
-
-
-async def test_aupdate_state_after_invoke_delta_channel() -> None:
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "after-invoke-async"}}
-
-    await graph.ainvoke({"messages": [HumanMessage(content="seed", id="m1")]}, config)
-    await graph.aupdate_state(
-        config,
-        {"messages": [HumanMessage(content="appended", id="m2")]},
-        as_node="model",
-    )
-
-    state = await graph.aget_state(config)
-    assert [m.content for m in state.values["messages"]] == ["seed", "appended"]
-
-
-# ---------------------------------------------------------------------------
-# Non-fresh thread: consecutive update_state calls
-# ---------------------------------------------------------------------------
-
-
-def test_consecutive_update_states_delta_channel() -> None:
-    """First update_state lazily persists a stub; the second sees a real
-    parent (`saved is not None`) and takes the original write path. Both
-    messages must round-trip in chronological order."""
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "consecutive-sync"}}
-
-    graph.update_state(
-        config,
-        {"messages": [HumanMessage(content="first", id="m1")]},
-        as_node="model",
-    )
-    graph.update_state(
-        config,
-        {"messages": [HumanMessage(content="second", id="m2")]},
-        as_node="model",
-    )
-
-    state = graph.get_state(config)
-    assert [m.content for m in state.values["messages"]] == ["first", "second"]
-    assert [m.id for m in state.values["messages"]] == ["m1", "m2"]
-
-
-async def test_aconsecutive_update_states_delta_channel() -> None:
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "consecutive-async"}}
-
-    await graph.aupdate_state(
-        config,
-        {"messages": [HumanMessage(content="first", id="m1")]},
-        as_node="model",
-    )
-    await graph.aupdate_state(
-        config,
-        {"messages": [HumanMessage(content="second", id="m2")]},
-        as_node="model",
-    )
-
-    state = await graph.aget_state(config)
-    assert [m.content for m in state.values["messages"]] == ["first", "second"]
-
-
-# ---------------------------------------------------------------------------
-# Update-by-id semantics through the update_state path
-# ---------------------------------------------------------------------------
-
-
-def test_update_state_replaces_message_by_id_delta_channel() -> None:
-    """`_messages_delta_reducer` dedups by `id` — re-issuing a write with the
-    same id replaces the existing entry rather than appending. Verify this
-    works through the `update_state` path (not just `invoke`)."""
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "update-by-id"}}
-
-    graph.invoke({"messages": [HumanMessage(content="original", id="h1")]}, config)
-    graph.update_state(
-        config,
-        {"messages": [HumanMessage(content="updated", id="h1")]},
-        as_node="model",
-    )
-
-    state = graph.get_state(config)
-    msgs = state.values["messages"]
-    assert len(msgs) == 1
-    assert msgs[0].id == "h1"
-    assert msgs[0].content == "updated"
-
-
-# ---------------------------------------------------------------------------
-# bulk_update_state with multiple updates per superstep
-# ---------------------------------------------------------------------------
-
-
-def test_bulk_update_state_multi_task_per_superstep_delta_channel() -> None:
-    """`bulk_update_state` with N updates in one superstep produces N tasks
-    that each call `put_writes`. Guards the regression where moving
-    `put_writes` outside the per-task loop would persist only the last
-    task's writes.
-
-    Explicit `task_id`s are required to disambiguate writes belonging to
-    different `StateUpdate`s targeting the same node — otherwise both share
-    the deterministic interrupt-derived id and collide in the saver.
-    """
-    from langgraph.types import StateUpdate
-
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "bulk-multi-task"}}
-
-    graph.bulk_update_state(
-        config,
-        [
-            [
-                StateUpdate(
-                    values={"messages": [HumanMessage(content="first", id="m1")]},
-                    as_node="model",
-                    task_id="task-1",
-                ),
-                StateUpdate(
-                    values={"messages": [HumanMessage(content="second", id="m2")]},
-                    as_node="model",
-                    task_id="task-2",
-                ),
-            ]
-        ],
-    )
-
-    state = graph.get_state(config)
-    contents = [m.content for m in state.values["messages"]]
-    ids = [m.id for m in state.values["messages"]]
-    assert sorted(contents) == ["first", "second"], (
-        f"both updates' writes must persist; got {contents}"
-    )
-    assert sorted(ids) == ["m1", "m2"]
-
-
-# ---------------------------------------------------------------------------
-# Public-API observation of the lazy-stub mechanism
-# ---------------------------------------------------------------------------
-
-
-def test_state_history_chain_after_fresh_update_state_delta_channel() -> None:
-    """A fresh-thread `update_state` should produce two checkpoints visible
-    via `get_state_history`: a stub (step=-1, no parent) and the update
-    (step=0, parent=stub). Both attributed `source='update'`."""
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "history-chain"}}
-
-    graph.update_state(
-        config,
-        {"messages": [HumanMessage(content="hello", id="m1")]},
-        as_node="model",
-    )
-
-    # Newest first per `get_state_history` ordering.
-    history = list(graph.get_state_history(config))
-    assert len(history) == 2
-
-    update_snapshot, stub_snapshot = history
-
-    assert update_snapshot.metadata is not None
-    assert update_snapshot.metadata["source"] == "update"
-    assert update_snapshot.metadata["step"] == 0
-    assert [m.content for m in update_snapshot.values["messages"]] == ["hello"]
-
-    assert stub_snapshot.metadata is not None
-    assert stub_snapshot.metadata["source"] == "update"
-    assert stub_snapshot.metadata["step"] == -1
-    assert stub_snapshot.parent_config is None
-
-    # The update checkpoint's parent is the stub.
-    assert update_snapshot.parent_config is not None
-    assert (
-        update_snapshot.parent_config["configurable"]["checkpoint_id"]
-        == stub_snapshot.config["configurable"]["checkpoint_id"]
-    )

libs/langgraph/tests/test_large_cases.py

@@ -9,7 +9,6 @@ import pytest
 from langchain_core.messages import AIMessage, AnyMessage, ToolCall
 from langchain_core.runnables import RunnableConfig, RunnableMap, RunnablePick
 from langchain_core.tools import tool
-from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
 from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.checkpoint.memory import InMemorySaver
 from langgraph.prebuilt.chat_agent_executor import create_react_agent
@@ -1400,7 +1399,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
         (
@@ -1463,7 +1461,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
     ]
@@ -1516,7 +1513,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
     ]
@@ -6888,7 +6884,6 @@ def test_weather_subgraph(
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
-                    "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
                 },
             ),
         ),
@@ -6916,7 +6911,6 @@ def test_weather_subgraph(
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
-                    "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
                 },
             ),
         ),
@@ -6953,7 +6947,6 @@ def test_weather_subgraph(
                 "ls_provider": "fakemessageslistchatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
     ]

libs/langgraph/tests/test_large_cases_async.py

@@ -11,7 +11,6 @@ from typing import (
 import pytest
 from langchain_core.messages import AnyMessage, ToolCall
 from langchain_core.runnables import RunnableConfig, RunnablePick
-from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
 from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.prebuilt.chat_agent_executor import create_react_agent
 from langgraph.prebuilt.tool_node import ToolNode
@@ -1151,7 +1150,6 @@ async def test_prebuilt_tool_chat() -> None:
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
         (
@@ -1214,7 +1212,6 @@ async def test_prebuilt_tool_chat() -> None:
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
     ]
@@ -1267,7 +1264,6 @@ async def test_prebuilt_tool_chat() -> None:
                 "ls_provider": "fakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
     ]
@@ -3985,7 +3981,6 @@ async def test_weather_subgraph(
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
-                    "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
                 },
             ),
         ),
@@ -4013,7 +4008,6 @@ async def test_weather_subgraph(
                     "ls_provider": "fakemessageslistchatmodel",
                     "ls_model_type": "chat",
                     "ls_integration": "langchain_chat_model",
-                    "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
                 },
             ),
         ),
@@ -4050,7 +4044,6 @@ async def test_weather_subgraph(
                 "ls_provider": "fakemessageslistchatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
             },
         ),
     ]

libs/langgraph/tests/test_pregel.py

@@ -23,7 +23,6 @@ from langchain_core.runnables import (
     RunnablePassthrough,
 )
 from langchain_core.runnables.graph import Edge
-from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
 from langgraph.cache.base import BaseCache
 from langgraph.checkpoint.base import (
     BaseCheckpointSaver,
@@ -6924,7 +6923,6 @@ def test_tags_stream_mode_messages() -> None:
                 "ls_provider": "genericfakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
                 "tags": ["meow"],
             },
         )
@@ -9281,13 +9279,6 @@ def test_send_with_untracked_value_overlapping_keys(
     assert state.values.get("dictionary") == {"session_resource": "legal_value"}
 
 
-def _delta_list_reducer(state: list, writes: Sequence[list]) -> list:
-    out = list(state)
-    for write in writes:
-        out.extend(write)
-    return out
-
-
 @pytest.mark.parametrize("as_json", [False, True])
 def test_overwrite_sequential(
     sync_checkpointer: BaseCheckpointSaver, as_json: bool
@@ -9395,105 +9386,6 @@ def test_overwrite_parallel_error(
         graph.invoke({"messages": ["START"]}, config)
 
 
-@pytest.mark.parametrize("as_json", [False, True])
-def test_delta_channel_overwrite_sequential(
-    sync_checkpointer: BaseCheckpointSaver, as_json: bool
-) -> None:
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_delta_list_reducer)]
-
-    def node_a(state: State):
-        return {"messages": ["a"]}
-
-    def node_b(state: State):
-        overwrite = {"__overwrite__": ["b"]} if as_json else Overwrite(["b"])
-        return {"messages": overwrite}
-
-    builder = StateGraph(State)
-    builder.add_node("node_a", node_a)
-    builder.add_node("node_b", node_b)
-    builder.add_edge(START, "node_a")
-    builder.add_edge("node_a", "node_b")
-
-    graph = builder.compile(checkpointer=sync_checkpointer)
-    config = {"configurable": {"thread_id": "delta-overwrite-sequential"}}
-    result = graph.invoke({"messages": ["START"]}, config)
-    assert result == {"messages": ["b"]}
-
-
-@pytest.mark.parametrize("as_json", [False, True])
-def test_delta_channel_overwrite_parallel(
-    sync_checkpointer: BaseCheckpointSaver, as_json: bool
-) -> None:
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_delta_list_reducer)]
-
-    def node_a(state: State):
-        return {"messages": ["a"]}
-
-    def node_b(state: State):
-        overwrite = {"__overwrite__": ["b"]} if as_json else Overwrite(["b"])
-        return {"messages": overwrite}
-
-    def node_c(state: State):
-        return {"messages": ["c"]}
-
-    def node_d(state: State):
-        return {"messages": ["d"]}
-
-    builder = StateGraph(State)
-    builder.add_node("node_a", node_a)
-    builder.add_node("node_b", node_b)
-    builder.add_node("node_c", node_c)
-    builder.add_node("node_d", node_d)
-    builder.add_edge(START, "node_a")
-    builder.add_edge("node_a", "node_b")
-    builder.add_edge("node_a", "node_c")
-    builder.add_edge("node_b", "node_d")
-    builder.add_edge("node_c", "node_d")
-
-    graph = builder.compile(checkpointer=sync_checkpointer)
-    config = {"configurable": {"thread_id": "delta-overwrite-parallel"}}
-    result = graph.invoke({"messages": ["START"]}, config)
-    assert result == {"messages": ["b", "d"]}
-
-
-@pytest.mark.parametrize("as_json", [False, True])
-def test_delta_channel_overwrite_parallel_error(
-    sync_checkpointer: BaseCheckpointSaver, as_json: bool
-) -> None:
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_delta_list_reducer)]
-
-    def node_a(state: State):
-        return {"messages": ["a"]}
-
-    def node_b(state: State):
-        overwrite = {"__overwrite__": ["b"]} if as_json else Overwrite(["b"])
-        return {"messages": overwrite}
-
-    def node_c(state: State):
-        overwrite = {"__overwrite__": ["c"]} if as_json else Overwrite(["c"])
-        return {"messages": overwrite}
-
-    builder = StateGraph(State)
-    builder.add_node("node_a", node_a)
-    builder.add_node("node_b", node_b)
-    builder.add_node("node_c", node_c)
-    builder.add_edge(START, "node_a")
-    builder.add_edge("node_a", "node_b")
-    builder.add_edge("node_a", "node_c")
-    builder.add_edge("node_b", END)
-    builder.add_edge("node_c", END)
-
-    graph = builder.compile(checkpointer=sync_checkpointer)
-    config = {"configurable": {"thread_id": "delta-overwrite-parallel-error"}}
-    with pytest.raises(
-        InvalidUpdateError, match="Can receive only one Overwrite value per super-step."
-    ):
-        graph.invoke({"messages": ["START"]}, config)
-
-
 def test_fork_does_not_apply_pending_writes(
     sync_checkpointer: BaseCheckpointSaver,
 ) -> None:

libs/langgraph/tests/test_pregel_async.py

@@ -24,7 +24,6 @@ from langchain_core.language_models import GenericFakeChatModel
 from langchain_core.messages import HumanMessage
 from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnablePassthrough
 from langchain_core.utils.aiter import aclosing
-from langchain_core.version import VERSION as LANGCHAIN_CORE_VERSION
 from langgraph.cache.base import BaseCache
 from langgraph.checkpoint.base import (
     BaseCheckpointSaver,
@@ -7605,7 +7604,6 @@ async def test_tags_stream_mode_messages() -> None:
                 "ls_provider": "genericfakechatmodel",
                 "ls_model_type": "chat",
                 "ls_integration": "langchain_chat_model",
-                "lc_versions": {"langchain-core": LANGCHAIN_CORE_VERSION},
                 "tags": ["meow"],
             },
         )
@@ -8763,117 +8761,280 @@ async def test_imp_exception(
         {"my_workflow": "done"},
     ]
 
-    events = [c async for c in my_workflow.astream_events(1, thread1)]
-    assert [(event["event"], event["name"]) for event in events] == [
-        ("on_chain_start", "LangGraph"),
-        ("on_chain_start", "my_workflow"),
-        ("on_chain_start", "my_task"),
-        ("on_chain_stream", "my_task"),
-        ("on_chain_end", "my_task"),
-        ("on_chain_stream", "LangGraph"),
-        ("on_chain_start", "task_with_exception"),
-        ("on_chain_start", "my_task"),
-        ("on_chain_stream", "my_task"),
-        ("on_chain_end", "my_task"),
-        ("on_chain_stream", "my_workflow"),
-        ("on_chain_stream", "LangGraph"),
-        ("on_chain_end", "my_workflow"),
-        ("on_chain_stream", "LangGraph"),
-        ("on_chain_end", "LangGraph"),
+    assert [c async for c in my_workflow.astream_events(1, thread1)] == [
+        {
+            "event": "on_chain_start",
+            "data": {"input": 1},
+            "name": "LangGraph",
+            "tags": [],
+            "run_id": AnyStr(),
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
+            "parent_ids": [],
+        },
+        {
+            "event": "on_chain_start",
+            "data": {"input": 1},
+            "name": "my_workflow",
+            "tags": ["graph:step:4"],
+            "run_id": AnyStr(),
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_workflow",
+                "langgraph_triggers": ("__start__",),
+                "langgraph_path": ("__pregel_pull", "my_workflow"),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "parent_ids": [AnyStr()],
+        },
+        {
+            "event": "on_chain_start",
+            "data": {"input": {"number": 1}},
+            "name": "my_task",
+            "tags": ["seq:step:1"],
+            "run_id": AnyStr(),
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_task",
+                "langgraph_triggers": ("__pregel_push",),
+                "langgraph_path": (
+                    "__pregel_push",
+                    ("__pregel_pull", "my_workflow"),
+                    2,
+                    True,
+                ),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "parent_ids": [
+                AnyStr(),
+                AnyStr(),
+            ],
+        },
+        {
+            "event": "on_chain_stream",
+            "run_id": AnyStr(),
+            "name": "my_task",
+            "tags": ["seq:step:1"],
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_task",
+                "langgraph_triggers": ("__pregel_push",),
+                "langgraph_path": (
+                    "__pregel_push",
+                    ("__pregel_pull", "my_workflow"),
+                    2,
+                    True,
+                ),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "data": {"chunk": 2},
+            "parent_ids": [
+                AnyStr(),
+                AnyStr(),
+            ],
+        },
+        {
+            "event": "on_chain_end",
+            "data": {"output": 2, "input": {"number": 1}},
+            "run_id": AnyStr(),
+            "name": "my_task",
+            "tags": ["seq:step:1"],
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_task",
+                "langgraph_triggers": ("__pregel_push",),
+                "langgraph_path": (
+                    "__pregel_push",
+                    ("__pregel_pull", "my_workflow"),
+                    2,
+                    True,
+                ),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "parent_ids": [
+                AnyStr(),
+                AnyStr(),
+            ],
+        },
+        {
+            "event": "on_chain_stream",
+            "run_id": AnyStr(),
+            "name": "LangGraph",
+            "tags": [],
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
+            "data": {"chunk": {"my_task": 2}},
+            "parent_ids": [],
+        },
+        {
+            "event": "on_chain_start",
+            "data": {"input": {"number": 1}},
+            "name": "task_with_exception",
+            "tags": ["seq:step:1"],
+            "run_id": AnyStr(),
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_task",
+                "langgraph_triggers": ("__pregel_push",),
+                "langgraph_path": (
+                    "__pregel_push",
+                    ("__pregel_pull", "my_workflow"),
+                    2,
+                    True,
+                ),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "parent_ids": [
+                AnyStr(),
+                AnyStr(),
+            ],
+        },
+        {
+            "event": "on_chain_start",
+            "data": {"input": {"number": 1}},
+            "name": "my_task",
+            "tags": ["seq:step:1"],
+            "run_id": AnyStr(),
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_task",
+                "langgraph_triggers": ("__pregel_push",),
+                "langgraph_path": (
+                    "__pregel_push",
+                    ("__pregel_pull", "my_workflow"),
+                    2,
+                    True,
+                ),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "parent_ids": [
+                AnyStr(),
+                AnyStr(),
+            ],
+        },
+        {
+            "event": "on_chain_stream",
+            "run_id": AnyStr(),
+            "name": "my_task",
+            "tags": ["seq:step:1"],
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_task",
+                "langgraph_triggers": ("__pregel_push",),
+                "langgraph_path": (
+                    "__pregel_push",
+                    ("__pregel_pull", "my_workflow"),
+                    2,
+                    True,
+                ),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "data": {"chunk": 2},
+            "parent_ids": [
+                AnyStr(),
+                AnyStr(),
+            ],
+        },
+        {
+            "event": "on_chain_end",
+            "data": {"output": 2, "input": {"number": 1}},
+            "run_id": AnyStr(),
+            "name": "my_task",
+            "tags": ["seq:step:1"],
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_task",
+                "langgraph_triggers": ("__pregel_push",),
+                "langgraph_path": (
+                    "__pregel_push",
+                    ("__pregel_pull", "my_workflow"),
+                    2,
+                    True,
+                ),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "parent_ids": [
+                AnyStr(),
+                AnyStr(),
+            ],
+        },
+        {
+            "event": "on_chain_stream",
+            "run_id": AnyStr(),
+            "name": "my_workflow",
+            "tags": ["graph:step:4"],
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_workflow",
+                "langgraph_triggers": ("__start__",),
+                "langgraph_path": ("__pregel_pull", "my_workflow"),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "data": {"chunk": "done"},
+            "parent_ids": [AnyStr()],
+        },
+        {
+            "event": "on_chain_stream",
+            "run_id": AnyStr(),
+            "name": "LangGraph",
+            "tags": [],
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
+            "data": {"chunk": {"my_task": 2}},
+            "parent_ids": [],
+        },
+        {
+            "event": "on_chain_end",
+            "data": {"output": "done", "input": 1},
+            "run_id": AnyStr(),
+            "name": "my_workflow",
+            "tags": ["graph:step:4"],
+            "metadata": {
+                "thread_id": "1",
+                "ls_integration": "langgraph",
+                "langgraph_step": 4,
+                "langgraph_node": "my_workflow",
+                "langgraph_triggers": ("__start__",),
+                "langgraph_path": ("__pregel_pull", "my_workflow"),
+                "langgraph_checkpoint_ns": AnyStr(),
+            },
+            "parent_ids": [AnyStr()],
+        },
+        {
+            "event": "on_chain_stream",
+            "run_id": AnyStr(),
+            "name": "LangGraph",
+            "tags": [],
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
+            "data": {"chunk": {"my_workflow": "done"}},
+            "parent_ids": [],
+        },
+        {
+            "event": "on_chain_end",
+            "data": {"output": "done"},
+            "run_id": AnyStr(),
+            "name": "LangGraph",
+            "tags": [],
+            "metadata": {"thread_id": "1", "ls_integration": "langgraph"},
+            "parent_ids": [],
+        },
     ]
 
-    root_events = [event for event in events if event["name"] == "LangGraph"]
-    for event in root_events:
-        assert event["tags"] == []
-        assert event["metadata"]["thread_id"] == "1"
-        assert event["metadata"]["ls_integration"] == "langgraph"
-        assert event["parent_ids"] == []
-
-    workflow_events = [event for event in events if event["name"] == "my_workflow"]
-    for event in workflow_events:
-        assert event["tags"] == ["graph:step:4"]
-        metadata = event["metadata"]
-        assert metadata["thread_id"] == "1"
-        assert metadata["ls_integration"] == "langgraph"
-        assert metadata["langgraph_step"] == 4
-        assert metadata["langgraph_node"] == "my_workflow"
-        assert metadata["langgraph_triggers"] == ("__start__",)
-        assert metadata["langgraph_path"] == ("__pregel_pull", "my_workflow")
-        assert isinstance(metadata["langgraph_checkpoint_ns"], str)
-        assert len(event["parent_ids"]) == 1
-
-    task_events = [event for event in events if event["name"] == "my_task"]
-    assert len(task_events) == 6
-    for event in task_events:
-        assert event["tags"] == ["seq:step:1"]
-        metadata = event["metadata"]
-        assert metadata["thread_id"] == "1"
-        assert metadata["ls_integration"] == "langgraph"
-        assert metadata["langgraph_step"] == 4
-        assert metadata["langgraph_node"] == "my_task"
-        assert metadata["langgraph_triggers"] == ("__pregel_push",)
-        assert metadata["langgraph_path"][:2] == (
-            "__pregel_push",
-            ("__pregel_pull", "my_workflow"),
-        )
-        assert metadata["langgraph_path"][-1] is True
-        assert isinstance(metadata["langgraph_checkpoint_ns"], str)
-        assert len(event["parent_ids"]) == 2
-
-    task_with_exception_event = next(
-        event for event in events if event["name"] == "task_with_exception"
-    )
-    assert task_with_exception_event["event"] == "on_chain_start"
-    assert task_with_exception_event["data"] == {"input": {"number": 1}}
-    assert task_with_exception_event["tags"] == ["seq:step:1"]
-    metadata = task_with_exception_event["metadata"]
-    assert metadata["thread_id"] == "1"
-    assert metadata["ls_integration"] == "langgraph"
-    assert metadata["langgraph_step"] == 4
-    assert metadata["langgraph_node"] == "task_with_exception"
-    assert metadata["langgraph_triggers"] == ("__pregel_push",)
-    assert metadata["langgraph_path"][:2] == (
-        "__pregel_push",
-        ("__pregel_pull", "my_workflow"),
-    )
-    assert metadata["langgraph_path"][-1] is True
-    assert isinstance(metadata["langgraph_checkpoint_ns"], str)
-    assert len(task_with_exception_event["parent_ids"]) == 2
-
-    assert [
-        event["data"]
-        for event in events
-        if event["event"] == "on_chain_stream" and event["name"] == "LangGraph"
-    ] == [
-        {"chunk": {"my_task": 2}},
-        {"chunk": {"my_task": 2}},
-        {"chunk": {"my_workflow": "done"}},
-    ]
-    assert [
-        event["data"]
-        for event in events
-        if event["event"] == "on_chain_stream" and event["name"] == "my_task"
-    ] == [{"chunk": 2}, {"chunk": 2}]
-    assert [
-        event["data"]
-        for event in events
-        if event["event"] == "on_chain_end" and event["name"] == "my_task"
-    ] == [
-        {"output": 2, "input": {"number": 1}},
-        {"output": 2, "input": {"number": 1}},
-    ]
-    assert [
-        event["data"]
-        for event in events
-        if event["event"] == "on_chain_stream" and event["name"] == "my_workflow"
-    ] == [{"chunk": "done"}]
-    assert [
-        event["data"]
-        for event in events
-        if event["event"] == "on_chain_end" and event["name"] == "my_workflow"
-    ] == [{"output": "done", "input": 1}]
-    assert events[-1]["data"] == {"output": "done"}
-
 
 @pytest.mark.parametrize("with_timeout", [False, "inner", "outer", "both"])
 @pytest.mark.parametrize("subgraph_persist", [True, False])

libs/langgraph/tests/test_pregel_stream_events_v3.py

@@ -607,164 +607,6 @@ class TestStreamV2Async:
             _ = await anext(aiter(run.values))
         assert run._exhausted is True
 
-    async def test_abort_cancels_running_subgraph(self) -> None:
-        class CountState(TypedDict):
-            count: int
-
-        runs: list[int] = []
-
-        async def sub_node(state: CountState) -> dict:
-            runs.append(state["count"] + 1)
-            await asyncio.sleep(0.05)
-            return {"count": state["count"] + 1}
-
-        sub_graph = (
-            StateGraph(CountState)
-            .add_node("sub_node", sub_node)
-            .set_entry_point("sub_node")
-            .add_conditional_edges(
-                "sub_node",
-                lambda s: END if s["count"] >= 10 else "sub_node",
-            )
-            .compile()
-        )
-
-        async def main_node(state: CountState) -> None:
-            await sub_graph.ainvoke({"count": 0})
-
-        main_graph = (
-            StateGraph(CountState)
-            .add_node("main_node", main_node)
-            .set_entry_point("main_node")
-            .compile()
-        )
-
-        run = await main_graph.astream_events({"count": 0}, version="v3")
-        async for e in run:
-            if (
-                e["method"] == "values"
-                and e["params"]["namespace"]
-                and e["params"]["data"]["count"] >= 2
-            ):
-                break
-        await run.abort()
-        runs_at_abort = len(runs)
-        # Give the (now-cancelled) subgraph a chance to keep looping.
-        await asyncio.sleep(0.3)
-        assert len(runs) == runs_at_abort
-        assert len(runs) < 10
-
-    async def test_abort_cancels_deeply_nested_subgraph(self) -> None:
-        class CountState(TypedDict):
-            count: int
-
-        runs: list[int] = []
-
-        async def deep_node(state: CountState) -> dict:
-            runs.append(state["count"] + 1)
-            await asyncio.sleep(0.05)
-            return {"count": state["count"] + 1}
-
-        # Deepest graph loops until count >= 10.
-        graph = (
-            StateGraph(CountState)
-            .add_node("deep_node", deep_node)
-            .set_entry_point("deep_node")
-            .add_conditional_edges(
-                "deep_node",
-                lambda s: END if s["count"] >= 10 else "deep_node",
-            )
-            .compile()
-        )
-
-        # Wrap it three times: graph -> subgraph -> subgraph -> subgraph.
-        for _ in range(3):
-
-            async def caller(state: CountState, _child: Any = graph) -> dict:
-                return await _child.ainvoke({"count": 0})
-
-            graph = (
-                StateGraph(CountState)
-                .add_node("caller", caller)
-                .set_entry_point("caller")
-                .compile()
-            )
-
-        run = await graph.astream_events({"count": 0}, version="v3")
-        async for e in run:
-            if (
-                e["method"] == "values"
-                and e["params"]["namespace"]
-                and e["params"]["data"]["count"] >= 2
-            ):
-                break
-        await run.abort()
-        runs_at_abort = len(runs)
-        # Give the (now-cancelled) nested subgraph a chance to keep looping.
-        await asyncio.sleep(0.3)
-        assert len(runs) == runs_at_abort
-        assert len(runs) < 10
-
-    async def test_abort_cancels_subgraph_during_inflight_pump(self) -> None:
-        class CountState(TypedDict):
-            count: int
-
-        started = asyncio.Event()
-        cancelled = asyncio.Event()
-
-        async def sub_node(state: CountState) -> dict:
-            started.set()
-            try:
-                # Long-running node: still in flight when abort fires.
-                await asyncio.sleep(5)
-            except asyncio.CancelledError:
-                cancelled.set()
-                raise
-            return {"count": state["count"] + 1}
-
-        sub_graph = (
-            StateGraph(CountState)
-            .add_node("sub_node", sub_node)
-            .set_entry_point("sub_node")
-            .compile()
-        )
-
-        async def main_node(state: CountState) -> None:
-            await sub_graph.ainvoke({"count": 0})
-
-        main_graph = (
-            StateGraph(CountState)
-            .add_node("main_node", main_node)
-            .set_entry_point("main_node")
-            .compile()
-        )
-
-        run = await main_graph.astream_events({"count": 0}, version="v3")
-
-        # A consumer task drives the pump. Once the subgraph node is
-        # running, no further event is produced, so the consumer parks
-        # inside _apump_next awaiting graph_aiter.__anext__() — the
-        # generator is "running" and a plain aclose() would raise.
-        async def consume() -> None:
-            async for _e in run:
-                pass
-
-        consumer = asyncio.create_task(consume())
-        try:
-            await asyncio.wait_for(started.wait(), timeout=2.0)
-            # Let the consumer drain and park in __anext__.
-            await asyncio.sleep(0.05)
-            # Abort from a different task while the consumer is in __anext__.
-            await run.abort()
-            # The in-flight subgraph node must observe cancellation.
-            await asyncio.wait_for(cancelled.wait(), timeout=2.0)
-        finally:
-            consumer.cancel()
-            try:
-                await consumer
-            except asyncio.CancelledError:
-                pass
-
     async def test_extensions_has_native_keys(self) -> None:
         run = await _build_simple_graph().astream_events(
             {"value": "x", "items": []}, version="v3"

libs/langgraph/tests/test_stream_events_v3.py

@@ -1,6 +1,6 @@
 """Tests for v2 streaming format (StreamPart TypedDicts).
 
-This file is checked by ty directly.
+This file is checked by mypy directly — no subprocess workarounds.
 Type-narrowing is validated via `assert_type` calls in `_check_type_narrowing`.
 """
 

libs/langgraph/tests/test_subgraph_persistence.py

@@ -639,49 +639,3 @@ def test_stateful_namespace_isolation(
         "broccoli round 2",
         "Veggie: broccoli round 2",
     ]
-
-
-def test_child_with_own_thread_id_keeps_namespace(
-    sync_checkpointer: BaseCheckpointSaver,
-) -> None:
-    """A child graph invoked from inside a parent node with its own thread_id
-    must store and read its checkpoint under its own namespace, not inherit the
-    parent task's checkpoint_ns.
-    """
-
-    class ChildState(TypedDict):
-        count: int
-
-    def child_node(state: ChildState) -> dict:
-        return {"count": (state.get("count") or 0) + 1}
-
-    child = (
-        StateGraph(ChildState)
-        .add_node("n", child_node)
-        .add_edge(START, "n")
-        .compile(checkpointer=sync_checkpointer)
-    )
-
-    child_thread = str(uuid4())
-    child_config = {"configurable": {"thread_id": child_thread}}
-
-    def parent_node(state: ParentState) -> dict:
-        child.invoke({}, config=child_config)
-        return {"result": "ok"}
-
-    parent = (
-        StateGraph(ParentState)
-        .add_node("p", parent_node)
-        .add_edge(START, "p")
-        .compile(checkpointer=sync_checkpointer)
-    )
-    parent_config = {"configurable": {"thread_id": str(uuid4())}}
-
-    parent.invoke({"result": ""}, config=parent_config)
-    state1 = child.get_state(child_config)
-    assert state1.values.get("count") == 1
-    assert state1.config["configurable"]["checkpoint_ns"] == ""
-
-    parent.invoke({"result": ""}, config=parent_config)
-    state2 = child.get_state(child_config)
-    assert state2.values.get("count") == 2

libs/langgraph/tests/test_subgraph_persistence_async.py

@@ -660,50 +660,3 @@ async def test_stateful_namespace_isolation_async(
         "broccoli round 2",
         "Veggie: broccoli round 2",
     ]
-
-
-@NEEDS_CONTEXTVARS
-async def test_child_with_own_thread_id_keeps_namespace_async(
-    async_checkpointer: BaseCheckpointSaver,
-) -> None:
-    """A child graph invoked from inside a parent node with its own thread_id
-    must store and read its checkpoint under its own namespace, not inherit the
-    parent task's checkpoint_ns.
-    """
-
-    class ChildState(TypedDict):
-        count: int
-
-    def child_node(state: ChildState) -> dict:
-        return {"count": (state.get("count") or 0) + 1}
-
-    child = (
-        StateGraph(ChildState)
-        .add_node("n", child_node)
-        .add_edge(START, "n")
-        .compile(checkpointer=async_checkpointer)
-    )
-
-    child_thread = str(uuid4())
-    child_config = {"configurable": {"thread_id": child_thread}}
-
-    async def parent_node(state: ParentState) -> dict:
-        await child.ainvoke({}, config=child_config)
-        return {"result": "ok"}
-
-    parent = (
-        StateGraph(ParentState)
-        .add_node("p", parent_node)
-        .add_edge(START, "p")
-        .compile(checkpointer=async_checkpointer)
-    )
-    parent_config = {"configurable": {"thread_id": str(uuid4())}}
-
-    await parent.ainvoke({"result": ""}, config=parent_config)
-    state1 = await child.aget_state(child_config)
-    assert state1.values.get("count") == 1
-    assert state1.config["configurable"]["checkpoint_ns"] == ""
-
-    await parent.ainvoke({"result": ""}, config=parent_config)
-    state2 = await child.aget_state(child_config)
-    assert state2.values.get("count") == 2

libs/langgraph/tests/test_utils.py

@@ -25,7 +25,6 @@ from langgraph._internal._config import (
     _merge_callbacks,
     ensure_config,
     get_callback_manager_for_config,
-    merge_configs,
 )
 from langgraph._internal._fields import (
     _is_optional_type,
@@ -506,95 +505,6 @@ def test_ensure_config_configurable_later_wins_per_key() -> None:
     assert merged["configurable"]["only_b"] == "B"
 
 
-def test_ensure_config_explicit_configurable_replaces_ambient() -> None:
-    # An explicit checkpoint coordinate (here a new thread_id) starts a fresh
-    # lineage and drops the ambient run context (e.g. a parent task's
-    # checkpoint_ns), so a child graph does not inherit it.
-    from langchain_core.runnables.config import var_child_runnable_config
-
-    token = var_child_runnable_config.set(
-        {"configurable": {"checkpoint_ns": "p:parent-task", "checkpoint_id": "cid"}}
-    )
-    try:
-        merged = ensure_config({"configurable": {"thread_id": "child"}})
-    finally:
-        var_child_runnable_config.reset(token)
-    assert merged["configurable"]["thread_id"] == "child"
-    assert "checkpoint_ns" not in merged["configurable"]
-    assert "checkpoint_id" not in merged["configurable"]
-
-
-def test_ensure_config_ambient_inherited_when_no_explicit_configurable() -> None:
-    # With no explicit configurable, the ambient run context is inherited
-    # unchanged (stateless subgraph / interrupt-resume pattern).
-    from langchain_core.runnables.config import var_child_runnable_config
-
-    token = var_child_runnable_config.set(
-        {"configurable": {"checkpoint_ns": "p:parent-task"}}
-    )
-    try:
-        merged = ensure_config({"tags": ["t"]})
-    finally:
-        var_child_runnable_config.reset(token)
-    assert merged["configurable"]["checkpoint_ns"] == "p:parent-task"
-
-
-def test_ensure_config_explicit_configurables_still_merge_over_ambient() -> None:
-    # A new thread_id drops the ambient, but explicit configs still shallow-merge
-    # among themselves, so a with_config(...) value (ls_agent_type) survives
-    # alongside an invoke-time thread_id.
-    from langchain_core.runnables.config import var_child_runnable_config
-
-    token = var_child_runnable_config.set(
-        {"configurable": {"checkpoint_ns": "p:parent-task"}}
-    )
-    try:
-        merged = ensure_config(
-            {"configurable": {"ls_agent_type": "root"}},
-            {"configurable": {"thread_id": "child"}},
-        )
-    finally:
-        var_child_runnable_config.reset(token)
-    assert merged["configurable"]["ls_agent_type"] == "root"
-    assert merged["configurable"]["thread_id"] == "child"
-    assert "checkpoint_ns" not in merged["configurable"]
-
-
-def test_ensure_config_non_coordinate_config_keeps_ambient_checkpoint_ns() -> None:
-    # A nested subagent is invoked with a non-coordinate configurable key
-    # (ls_agent_type) and no thread_id; it must keep the inherited checkpoint_ns
-    # so it stays a discoverable child of the parent run (deepagents `task` tool).
-    from langchain_core.runnables.config import var_child_runnable_config
-
-    token = var_child_runnable_config.set(
-        {"configurable": {"thread_id": "parent", "checkpoint_ns": "p:parent-task"}}
-    )
-    try:
-        merged = ensure_config({"configurable": {"ls_agent_type": "subagent"}})
-    finally:
-        var_child_runnable_config.reset(token)
-    assert merged["configurable"]["ls_agent_type"] == "subagent"
-    assert merged["configurable"]["checkpoint_ns"] == "p:parent-task"
-    assert merged["configurable"]["thread_id"] == "parent"
-
-
-def test_ensure_config_same_thread_id_still_clears_ambient() -> None:
-    # A child that reuses the parent's thread_id is still addressing its own root
-    # namespace on that thread, so the parent task's checkpoint_ns must not leak
-    # in; otherwise the child writes state that get_state cannot read back.
-    from langchain_core.runnables.config import var_child_runnable_config
-
-    token = var_child_runnable_config.set(
-        {"configurable": {"thread_id": "shared", "checkpoint_ns": "p:parent-task"}}
-    )
-    try:
-        merged = ensure_config({"configurable": {"thread_id": "shared"}})
-    finally:
-        var_child_runnable_config.reset(token)
-    assert merged["configurable"]["thread_id"] == "shared"
-    assert "checkpoint_ns" not in merged["configurable"]
-
-
 def test_ensure_config_merges_metadata_across_configs() -> None:
     a = {"metadata": {"user_id": "U1"}}
     b = {"metadata": {"correlation_id": "C1"}}
@@ -610,159 +520,6 @@ def test_ensure_config_metadata_later_wins_per_key() -> None:
     assert merged["metadata"]["shared"] == "from_b"
 
 
-def test_merge_configs_merges_metadata_lc_versions() -> None:
-    a = {
-        "metadata": {
-            "lc_versions": {"langgraph": "1.2.4"},
-            "lc_agent_name": "agent",
-        }
-    }
-    b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
-    merged = merge_configs(a, b)
-    assert merged["metadata"]["lc_versions"] == {
-        "langgraph": "1.2.4",
-        "langchain-core": "1.2.0",
-    }
-    assert merged["metadata"]["lc_agent_name"] == "agent"
-
-
-def test_ensure_config_merges_metadata_lc_versions() -> None:
-    a = {
-        "metadata": {
-            "lc_versions": {"langgraph": "1.2.4"},
-            "lc_agent_name": "agent",
-        }
-    }
-    b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
-    merged = ensure_config(a, b)
-    assert merged["metadata"]["lc_versions"] == {
-        "langgraph": "1.2.4",
-        "langchain-core": "1.2.0",
-    }
-    assert merged["metadata"]["lc_agent_name"] == "agent"
-
-
-@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
-def test_metadata_lc_versions_later_values_win_without_recursive_merge(
-    merge: Callable[..., RunnableConfig],
-) -> None:
-    a = {
-        "metadata": {
-            "lc_versions": {
-                "langgraph": "1.2.4",
-                "nested": {"only_a": "A", "shared": "from_a"},
-            }
-        }
-    }
-    b = {
-        "metadata": {
-            "lc_versions": {
-                "langchain-core": "1.2.0",
-                "nested": {"only_b": "B", "shared": "from_b"},
-            }
-        }
-    }
-    merged = merge(a, b)
-    assert merged["metadata"]["lc_versions"] == {
-        "langgraph": "1.2.4",
-        "langchain-core": "1.2.0",
-        "nested": {"only_b": "B", "shared": "from_b"},
-    }
-
-
-@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
-def test_metadata_nested_mappings_other_than_lc_versions_are_replaced(
-    merge: Callable[..., RunnableConfig],
-) -> None:
-    a = {"metadata": {"versions": {"langgraph": "1.2.4"}, "mode": "bound"}}
-    b = {
-        "metadata": {
-            "versions": {"langchain-core": "1.2.0"},
-            "mode": {"source": "runtime"},
-        }
-    }
-    merged = merge(a, b)
-    assert merged["metadata"]["versions"] == {"langchain-core": "1.2.0"}
-    assert merged["metadata"]["mode"] == {"source": "runtime"}
-
-
-@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
-def test_metadata_non_mapping_values_later_wins(
-    merge: Callable[..., RunnableConfig],
-) -> None:
-    a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}, "mode": "bound"}}
-    b = {"metadata": {"lc_versions": "runtime", "mode": {"source": "runtime"}}}
-    merged = merge(a, b)
-    assert merged["metadata"]["lc_versions"] == "runtime"
-    assert merged["metadata"]["mode"] == {"source": "runtime"}
-
-
-@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
-def test_metadata_lc_versions_merge_does_not_mutate_inputs(
-    merge: Callable[..., RunnableConfig],
-) -> None:
-    a_versions = {"langgraph": "1.2.4"}
-    b_versions = {"langchain-core": "1.2.0"}
-    a = {"metadata": {"lc_versions": a_versions}}
-    b = {"metadata": {"lc_versions": b_versions}}
-    merged = merge(a, b)
-    assert a == {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
-    assert b == {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
-    assert merged["metadata"]["lc_versions"] is not a_versions
-    assert merged["metadata"]["lc_versions"] is not b_versions
-
-    merged["metadata"]["lc_versions"]["langgraph"] = "changed"
-    assert a_versions == {"langgraph": "1.2.4"}
-    assert b_versions == {"langchain-core": "1.2.0"}
-
-
-@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
-def test_metadata_single_sided_mapping_values_are_copied(
-    merge: Callable[..., RunnableConfig],
-) -> None:
-    base_versions = {"langgraph": "1.2.4"}
-    new_versions = {"langchain-core": "1.2.0"}
-
-    merged_base_only = merge({"metadata": {"lc_versions": base_versions}})
-    merged_new_only = merge(
-        {"metadata": {}},
-        {"metadata": {"lc_versions": new_versions}},
-    )
-
-    assert merged_base_only["metadata"]["lc_versions"] is not base_versions
-    assert merged_new_only["metadata"]["lc_versions"] is not new_versions
-
-    merged_base_only["metadata"]["lc_versions"]["langgraph"] = "changed"
-    merged_new_only["metadata"]["lc_versions"]["langchain-core"] = "changed"
-    assert base_versions == {"langgraph": "1.2.4"}
-    assert new_versions == {"langchain-core": "1.2.0"}
-
-
-@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
-def test_metadata_empty_incoming_preserves_base_lc_versions(
-    merge: Callable[..., RunnableConfig],
-) -> None:
-    a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
-    b = {"metadata": {"lc_versions": {}}}
-    merged = merge(a, b)
-    assert merged["metadata"]["lc_versions"] == {"langgraph": "1.2.4"}
-
-
-@pytest.mark.parametrize("merge", [merge_configs, ensure_config])
-def test_metadata_lc_versions_accumulate_across_more_than_two_configs(
-    merge: Callable[..., RunnableConfig],
-) -> None:
-    a = {"metadata": {"lc_versions": {"langgraph": "1.2.4"}}}
-    b = {"metadata": {"lc_versions": {"langchain-core": "1.2.0"}}}
-    c = {"metadata": {"lc_versions": {"langchain": "1.1.0"}}}
-    merged = merge(a, b, c)
-    assert merged["metadata"]["lc_versions"] == {
-        "langgraph": "1.2.4",
-        "langchain-core": "1.2.0",
-        "langchain": "1.1.0",
-    }
-
-
 def test_ensure_config_merges_tags_across_configs() -> None:
     a = {"tags": ["alpha"]}
     b = {"tags": ["beta"]}

libs/langgraph/uv.lock

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 version = "2.33.0.20260518"

libs/prebuilt/Makefile

@@ -36,19 +36,22 @@ test_watch:
 
 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
 lint_package: PYTHON_FILES=langgraph
 lint_tests: PYTHON_FILES=tests
+lint_tests: MYPY_CACHE=.mypy_cache_test
 
 lint lint_diff lint_package lint_tests:
 	uv run ruff check .
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
 	[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
-	[ "$(PYTHON_FILES)" = "" ] || uv run ty check langgraph
+	[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE)
+	[ "$(PYTHON_FILES)" = "" ] || uv run mypy langgraph --cache-dir $(MYPY_CACHE)
 
 type:
-	uv run ty check langgraph
+	mkdir -p $(MYPY_CACHE) && uv run mypy langgraph --cache-dir $(MYPY_CACHE)
 
 format format_diff:
 	uv run ruff format $(PYTHON_FILES)

libs/prebuilt/README.md

@@ -1,36 +1,16 @@
 # LangGraph Prebuilt
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-prebuilt?label=%20)](https://pypi.org/project/langgraph-prebuilt/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph-prebuilt)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-prebuilt)](https://pypistats.org/packages/langgraph-prebuilt)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
-
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
-
-## Quick Install
-
-```bash
-uv add langgraph
-```
-
-## 🤔 What is this?
-
-This library defines high-level APIs for creating and executing LangGraph agents and tools. It includes prebuilt components such as `create_react_agent`, `ToolNode`, validation helpers, and Agent Inbox schemas.
-
-## 📖 Documentation
-
-For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph.prebuilt/). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+This library defines high-level APIs for creating and executing LangGraph agents and tools.
 
 > [!IMPORTANT]
-> This library is bundled with `langgraph`; most users should install `langgraph` instead of installing `langgraph-prebuilt` directly.
+> This library is meant to be bundled with `langgraph`, don't install it directly
 
 ## Agents
 
-`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/chat_agent_executor/create_react_agent) of a tool-calling ReAct-style agent - `create_react_agent`:
+`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.chat_agent_executor.create_react_agent) of a tool-calling [ReAct-style](https://langchain-ai.github.io/langgraph/concepts/agentic_concepts/#react-implementation) agent - `create_react_agent`:
 
 ```bash
-uv add langchain-anthropic
+pip install langchain-anthropic
 ```
 
 ```python
@@ -59,7 +39,7 @@ app.invoke(
 
 ### ToolNode
 
-`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/tool_node/ToolNode) of a node that executes tool calls - `ToolNode`:
+`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_node.ToolNode) of a node that executes tool calls - `ToolNode`:
 
 ```python
 from langgraph.prebuilt import ToolNode
@@ -81,7 +61,7 @@ tool_node.invoke({"messages": [ai_message]})
 
 ### ValidationNode
 
-`langgraph-prebuilt` provides an [implementation](https://reference.langchain.com/python/langgraph.prebuilt/tool_validator/ValidationNode) of a node that validates tool calls against a pydantic schema - `ValidationNode`:
+`langgraph-prebuilt` provides an [implementation](https://langchain-ai.github.io/langgraph/reference/prebuilt/#langgraph.prebuilt.tool_validator.ValidationNode) of a node that validates tool calls against a pydantic schema - `ValidationNode`:
 
 ```python
 from pydantic import BaseModel, field_validator
@@ -134,14 +114,4 @@ def my_graph_function():
     if response['type'] == "response":
         # Do something with the response
     ...
-```
-
-## 📕 Releases & Versioning
-
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
-
-## 💁 Contributing
-
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
-
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).
+```

libs/prebuilt/langgraph/prebuilt/tool_node.py

@@ -431,7 +431,7 @@ def _handle_tool_error(
     elif isinstance(flag, str):
         content = flag
     elif callable(flag):
-        content = flag(e)  # type: ignore [assignment, call-arg]
+        content = flag(e)  # type: ignore[call-arg]
     else:
         msg = (
             f"Got unexpected type of `handle_tool_error`. Expected bool, str "
@@ -1237,7 +1237,7 @@ class ToolNode(RunnableCallable):
             isinstance(input, dict) and input.get("__type") == "tool_call_with_context"
         ):
             # Handle ToolCallWithContext from Send API
-            # Type checkers cannot narrow correctly since the signature
+            # mypy will not be able to type narrow correctly since the signature
             # for input contains dict[str, Any]. We'd need to narrow dict[str, Any]
             # before we can apply correct typing.
             input_with_ctx = cast("ToolCallWithContext", input)
@@ -1534,7 +1534,7 @@ class ToolNode(RunnableCallable):
                 raise ValueError(msg)
 
             updated_command = deepcopy(command)
-            messages_update = updated_command.update
+            messages_update = cast("list[Any]", updated_command.update)
         else:
             return command
 

libs/prebuilt/pyproject.toml

@@ -51,7 +51,7 @@ test = [
 lint = [
     "ruff",
     "codespell",
-    "ty",
+    "mypy",
 ]
 dev = [
     {include-group = "test"},
@@ -79,21 +79,18 @@ lint.select = [ "E", "F", "I", "TID251", "UP" ]
 lint.ignore = [ "E501" ]
 target-version = "py310"
 
-[tool.ty.rules]
-call-non-callable = "ignore"
-deprecated = "ignore"
-invalid-argument-type = "ignore"
-invalid-assignment = "ignore"
-invalid-await = "ignore"
-invalid-return-type = "ignore"
-no-matching-overload = "ignore"
-unused-type-ignore-comment = "ignore"
-unresolved-attribute = "ignore"
-unresolved-import = "ignore"
-unsupported-operator = "ignore"
-
 [tool.pytest-watcher]
 now = true
 delay = 0.1
 runner_args = ["--ff", "-v", "--tb", "short"]
 patterns = ["*.py"]
+
+[tool.mypy]
+# https://mypy.readthedocs.io/en/stable/config_file.html
+disallow_untyped_defs = "True"
+explicit_package_bases = "True"
+warn_no_return = "False"
+warn_unused_ignores = "True"
+warn_redundant_casts = "True"
+allow_redefinition = "True"
+disable_error_code = "typeddict-item, return-value"

libs/prebuilt/uv.lock

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 ]
 
+[[package]]
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+version = "0.5.0"
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     { name = "langgraph-checkpoint-sqlite" },
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-    { name = "ty" },
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     { name = "langgraph-checkpoint-sqlite", editable = "../checkpoint-sqlite" },
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libs/sdk-js/README.md

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-# LangGraph JavaScript SDK
-
-Looking for the JS/TS version? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs).
-
-## 🤔 What is this?
-
-This package has moved to [langchain-ai/langgraphjs](https://github.com/langchain-ai/langgraphjs/tree/main/libs/sdk).
-
-## 📖 Documentation
-
-For JavaScript and TypeScript documentation, see the [LangGraph.js docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
+This repository has been moved to [langchain-ai/langgraphjs](https://github.com/langchain-ai/langgraphjs/tree/main/libs/sdk).

libs/sdk-py/Makefile

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 # Define a variable for Python and notebook files.
 PYTHON_FILES=.
+MYPY_CACHE=.mypy_cache
 lint format: PYTHON_FILES=.
 lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$')
 

libs/sdk-py/README.md

@@ -1,31 +1,18 @@
 # LangGraph Python SDK
 
-[![PyPI - Version](https://img.shields.io/pypi/v/langgraph-sdk?label=%20)](https://pypi.org/project/langgraph-sdk/#history)
-[![PyPI - License](https://img.shields.io/pypi/l/langgraph-sdk)](https://opensource.org/licenses/MIT)
-[![PyPI - Downloads](https://img.shields.io/pepy/dt/langgraph-sdk)](https://pypistats.org/packages/langgraph-sdk)
-[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain)](https://x.com/langchain_oss)
-
-To help you ship LangGraph apps to production faster, check out [LangSmith](https://www.langchain.com/langsmith).
-[LangSmith](https://www.langchain.com/langsmith) is a unified developer platform for building, testing, and monitoring LLM applications.
-
-## Quick Install
-
-```bash
-uv add langgraph-sdk
-```
-
-## 🤔 What is this?
-
-This library provides the Python SDK for interacting with the LangGraph API. Use it to connect to a running LangGraph API server, manage assistants and threads, and stream runs from Python applications.
-
-You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, the SDK will automatically point at `http://localhost:8123`; otherwise, specify the server URL when creating a client.
-
-## 📖 Documentation
-
-For full documentation, see the [API reference](https://reference.langchain.com/python/langgraph-sdk/). For conceptual guides and tutorials, see the [LangGraph Docs](https://docs.langchain.com/oss/python/langgraph/overview).
+This repository contains the Python SDK for interacting with the LangSmith Deployment REST API.
 
 ## Quick Start
 
+To get started with the Python SDK, [install the package](https://pypi.org/project/langgraph-sdk/)
+
+```bash
+pip install -U langgraph-sdk
+```
+
+You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, SDK will automatically point at `http://localhost:8123`, otherwise
+you would need to specify the server URL when creating a client.
+
 ```python
 from langgraph_sdk import get_client
 
@@ -56,7 +43,9 @@ async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id']
 
 ## Thread-Centric Streaming (v3)
 
-`client.threads.stream()` returns a context manager that owns the SSE session for one thread. Typed projections — values snapshots, message streams, tool calls, custom events — all share the same underlying connection.
+`client.threads.stream()` returns a context manager that owns the SSE session for one
+thread. Typed projections — values snapshots, message streams, tool calls, custom
+events — all share the same underlying connection.
 
 ```python
 from langgraph_sdk import get_client
@@ -84,13 +73,3 @@ async with client.threads.stream(
 
     final = await thread.output           # terminal state values
 ```
-
-## 📕 Releases & Versioning
-
-See our [Releases](https://docs.langchain.com/oss/python/release-policy) and [Versioning](https://docs.langchain.com/oss/python/versioning) policies.
-
-## 💁 Contributing
-
-As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
-
-For detailed information on how to contribute, see the [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview).

libs/sdk-py/integration/scripts/test_subgraphs.py

@@ -37,7 +37,7 @@ async def _drain_subgraphs(thread) -> list:
         # Just count handle paths; deep message iteration on scoped
         # handles has its own draining pattern and isn't the goal of
         # this test (which exercises subgraph discovery via
-        # child-namespace ``lifecycle: started``).
+        # child-namespace `lifecycle: started/running`).
         children.append({"path": child.path})
     return children
 

libs/sdk-py/langgraph_sdk/_async/stream.py

@@ -105,6 +105,8 @@ def _event_namespace(params_field: Any) -> list[str]:
 
 
 _ROOT_TERMINAL_LIFECYCLE_EVENTS = frozenset({"completed", "failed"})
+# `since` returns events after the given seq; -1 means replay from the first event.
+_INITIAL_REPLAY_CURSOR = -1
 
 
 def _is_root_terminal_lifecycle(event: Any) -> bool:
@@ -126,6 +128,9 @@ def _is_root_terminal_lifecycle(event: Any) -> bool:
     data = params.get("data") or {}
     if not isinstance(data, dict):
         return False
+    payload_namespace = data.get("namespace")
+    if isinstance(payload_namespace, list) and payload_namespace:
+        return False
     return data.get("event") in _ROOT_TERMINAL_LIFECYCLE_EVENTS
 
 
@@ -174,6 +179,7 @@ class RunModule:
         metadata: dict[str, Any] | None = None,
     ) -> dict[str, Any]:
         """Send `run.start` to the server. Returns the result (`{"run_id": ...}`)."""
+        replay_cursor = self._owner._cursor
         params: dict[str, Any] = {"assistant_id": self._owner.assistant_id}
         if input is not None:
             params["input"] = input
@@ -186,6 +192,8 @@ class RunModule:
         self._owner._run_start_ready = gate
         try:
             result = await self._owner._send_command("run.start", params)
+            self._owner._run_start_replay_cursor = replay_cursor
+            self._owner._has_run_start_replay_cursor = True
             if not gate.done():
                 gate.set_result(None)
             self._owner._run_seen = True
@@ -529,12 +537,11 @@ def _is_direct_child(namespace: list[str], scope: tuple[str, ...]) -> bool:
 def _subgraph_subscription_params(scope: tuple[str, ...]) -> SubscribeParams:
     # Subscribe to tasks + messages + tools + lifecycle without a depth limit
     # so all descendant-namespace events are captured in one SSE and buffered
-    # into each child handle's inbox. ``lifecycle`` is included so child-
-    # namespace ``started`` events (the canonical signal for
-    # ``create_deep_agent``-style subagent discovery, matching JS behavior)
-    # reach ``_subgraphs_iter``; servers that surface child invocations via
-    # ``tasks`` events instead are also handled via the existing ``method ==
-    # "tasks"`` branch.
+    # into each child handle's inbox. `lifecycle` is included so child
+    # started/running events (the canonical signal for `create_deep_agent`-
+    # style subagent discovery, matching JS behavior) reach `_subgraphs_iter`;
+    # servers that surface child invocations via `tasks` events instead are
+    # also handled via the existing `method == "tasks"` branch.
     return {
         "channels": ["messages", "tasks", "tools", "lifecycle"],
         "namespaces": [list(scope)],
@@ -931,7 +938,10 @@ class _SubgraphsProjection:
             self._thread._activate_root_messages_inbox() if not self._scope else None
         )
         try:
-            await self._thread._reconcile_stream(params)
+            await self._thread._reconcile_stream(
+                params,
+                use_run_start_replay_cursor=self._scope == (),
+            )
             self._thread._ensure_fanout_running()
             while True:
                 item = await sub.queue.get()
@@ -1215,6 +1225,8 @@ class AsyncThreadStream:
         self._run_seen: bool = False
         self._run_done: asyncio.Future[_RunTerminal] | None = None
         self._cursor: int | None = None
+        self._run_start_replay_cursor: int | None = None
+        self._has_run_start_replay_cursor = False
         self._active_message_streams: set[AsyncChatModelStream] = set()
         self._active_tool_calls: set[ToolCallHandle] = set()
         # Root-scope inbox: populated by `_SubgraphsProjection` when it consumes
@@ -1705,7 +1717,12 @@ class AsyncThreadStream:
             return True
         return False
 
-    async def _reconcile_stream(self, candidate_filter: SubscribeParams) -> None:
+    async def _reconcile_stream(
+        self,
+        candidate_filter: SubscribeParams,
+        *,
+        use_run_start_replay_cursor: bool = False,
+    ) -> None:
         """Ensure the shared SSE covers `candidate_filter`. Rotate if not.
 
         Open-new-before-close-old: any events buffered server-side between
@@ -1721,8 +1738,17 @@ class AsyncThreadStream:
         if self._transport is None:
             raise RuntimeError("AsyncThreadStream not entered — use `async with`.")
 
+        replay_cursor = self._cursor
+        force_replay = False
+        if use_run_start_replay_cursor and self._has_run_start_replay_cursor:
+            replay_cursor = self._run_start_replay_cursor
+            if replay_cursor is None:
+                replay_cursor = _INITIAL_REPLAY_CURSOR
+            force_replay = replay_cursor != self._cursor
+
         if (
-            self._shared_stream is not None
+            not force_replay
+            and self._shared_stream is not None
             and self._shared_stream_filter is not None
             and filter_covers(self._shared_stream_filter, dict(candidate_filter))
         ):
@@ -1730,8 +1756,8 @@ class AsyncThreadStream:
 
         new_filter = self._compute_current_union(extra=candidate_filter)
         stream_params: dict[str, Any] = dict(new_filter)
-        if self._cursor is not None:
-            stream_params["since"] = self._cursor
+        if replay_cursor is not None:
+            stream_params["since"] = replay_cursor
         new_stream = self._transport.open_event_stream(stream_params)
         old_stream = self._shared_stream
         self._shared_stream = new_stream
@@ -1964,6 +1990,11 @@ class AsyncThreadStream:
             params = event.get("params") or {}
             data = params.get("data") if isinstance(params, dict) else None
             phase = data.get("event") if isinstance(data, dict) else None
+            payload_namespace = (
+                data.get("namespace") if isinstance(data, dict) else None
+            )
+            if isinstance(payload_namespace, list) and payload_namespace:
+                return
             if phase in ("started", "running"):
                 # Mark that we have observed an active run so thread.output
                 # knows a run exists (handles reattach without run.start).

libs/sdk-py/langgraph_sdk/_sync/stream.py

@@ -114,9 +114,9 @@ def _is_direct_child(namespace: list[str], scope: tuple[str, ...]) -> bool:
 
 
 def _subgraph_subscription_params(scope: tuple[str, ...]) -> SubscribeParams:
-    # Includes ``lifecycle`` so child-namespace ``started`` events (the
-    # ``create_deep_agent`` subagent discovery signal, matching JS)
-    # reach ``_subgraphs_iter`` alongside ``tasks``-based discovery.
+    # Includes `lifecycle` so child started/running events (the
+    # `create_deep_agent` subagent discovery signal, matching JS) reach
+    # `_subgraphs_iter` alongside `tasks`-based discovery.
     return {
         "channels": ["messages", "tasks", "tools", "lifecycle"],
         "namespaces": [list(scope)],
@@ -217,6 +217,8 @@ class SyncRunModule:
         metadata: dict[str, Any] | None = None,
     ) -> dict[str, Any]:
         """Send `run.start` to the server. Returns the result (`{"run_id": ...}`)."""
+        controller = self._owner._controller
+        replay_cursor = controller._cursor if controller is not None else None
         params: dict[str, Any] = {"assistant_id": self._owner.assistant_id}
         if input is not None:
             params["input"] = input
@@ -226,8 +228,8 @@ class SyncRunModule:
             params["metadata"] = metadata
         result = self._owner._send_command("run.start", params)
         self._owner._run_seen = True
-        controller = self._owner._controller
         if controller is not None and controller._run_start_gate is not None:
+            controller.mark_run_start_replay_cursor(replay_cursor)
             controller._run_start_gate.set()
         return result
 
@@ -974,7 +976,10 @@ class _SyncSubgraphsProjection:
             self._thread._activate_root_messages_inbox() if not self._scope else None
         )
         try:
-            self._thread._reconcile_stream(params)
+            self._thread._reconcile_stream(
+                params,
+                use_run_start_replay_cursor=self._scope == (),
+            )
             self._thread._ensure_fanout_running()
             while True:
                 item = sub.queue.get()
@@ -1215,10 +1220,21 @@ class SyncThreadStream:
         if self._controller is not None:
             self._controller.ensure_fanout_running()
 
-    def _reconcile_stream(self, candidate_filter: SubscribeParams) -> None:
+    def _reconcile_stream(
+        self,
+        candidate_filter: SubscribeParams,
+        *,
+        use_run_start_replay_cursor: bool = False,
+    ) -> None:
         if self._controller is None:
             raise RuntimeError("SyncThreadStream not entered — use `with`.")
-        self._controller.reconcile_stream(candidate_filter)
+        if not use_run_start_replay_cursor:
+            self._controller.reconcile_stream(candidate_filter)
+            return
+        self._controller.reconcile_stream(
+            candidate_filter,
+            use_run_start_replay_cursor=use_run_start_replay_cursor,
+        )
 
     def _activate_root_messages_inbox(self) -> queue.Queue[Event | None]:
         if self._root_messages_inbox is None:
@@ -1608,6 +1624,11 @@ class SyncThreadStream:
             params = event.get("params") or {}
             data = params.get("data") if isinstance(params, dict) else None
             phase = data.get("event") if isinstance(data, dict) else None
+            payload_namespace = (
+                data.get("namespace") if isinstance(data, dict) else None
+            )
+            if isinstance(payload_namespace, list) and payload_namespace:
+                return
             if phase in ("started", "running"):
                 self._run_seen = True
             elif phase in ("completed", "failed"):

libs/sdk-py/langgraph_sdk/stream/decoders.py

@@ -9,7 +9,7 @@ which drives multiple decoders from one shared subscription.
 from __future__ import annotations
 
 from collections.abc import Callable, Iterable, Mapping
-from typing import Any, Literal, Protocol
+from typing import Any, Literal, Protocol, cast
 
 #: Channel names the public ``interleave_projections`` API accepts as built-ins.
 SUPPORTED_INTERLEAVE_CHANNELS = (
@@ -56,6 +56,15 @@ def _event_namespace(params_field: Any) -> list[str]:
     return list(namespace) if isinstance(namespace, list) else []
 
 
+def _lifecycle_payload_namespace(
+    params_field: Mapping[str, Any], data: Mapping[str, Any]
+) -> list[str]:
+    namespace = data.get("namespace")
+    if isinstance(namespace, list):
+        return cast(list[str], list(namespace))
+    return _event_namespace(params_field)
+
+
 def _message_event_id(data: dict[str, Any]) -> str | None:
     message_id = data.get("id") or data.get("message_id")
     return str(message_id) if message_id is not None else None
@@ -275,11 +284,15 @@ class SubgraphsDecoder:
 
     def feed(self, event: Mapping[str, Any]) -> Iterable[Any]:
         params = event.get("params") or {}
-        namespace = _event_namespace(params)
         data = params.get("data")
         if not isinstance(data, dict):
             return
         method = event.get("method")
+        namespace = (
+            _lifecycle_payload_namespace(params, data)
+            if method == "lifecycle"
+            else _event_namespace(params)
+        )
 
         # 1. Fanout: first active child whose path prefixes this namespace.
         ns_tuple = tuple(namespace)
@@ -295,12 +308,14 @@ class SubgraphsDecoder:
                 self._apply_tasks_result(namespace, data)
             elif _is_direct_child(namespace, self._scope):
                 yield from self._discover(namespace)
-        elif (
-            method == "lifecycle"
-            and data.get("event") == "started"
-            and _is_direct_child(namespace, self._scope)
-        ):
-            yield from self._discover(namespace)
+        elif method == "lifecycle":
+            event_type = data.get("event")
+            if event_type in ("started", "running") and _is_direct_child(
+                namespace, self._scope
+            ):
+                yield from self._discover(namespace)
+            elif event_type in ("completed", "failed", "interrupted"):
+                self._apply_lifecycle_terminal(namespace, data)
 
     def _discover(self, namespace: list[str]) -> Iterable[Any]:
         path = tuple(namespace)
@@ -330,6 +345,21 @@ class SubgraphsDecoder:
             handle._finish(status, error)
             del self._active[child_path]
 
+    def _apply_lifecycle_terminal(
+        self, namespace: list[str], data: dict[str, Any]
+    ) -> None:
+        path = tuple(namespace)
+        handle = self._active.pop(path, None)
+        if handle is None:
+            return
+        event_type = data.get("event")
+        if event_type == "failed":
+            handle._finish("failed", data.get("error"))
+        elif event_type == "interrupted":
+            handle._finish("interrupted", None)
+        else:
+            handle._finish("completed", None)
+
 
 class ExtensionsDecoder:
     """Yields `params.data` from one named custom channel.

libs/sdk-py/langgraph_sdk/stream/sync_controller.py

@@ -20,9 +20,12 @@ from langgraph_sdk.stream.transport import (
 )
 
 _logger = logging.getLogger(__name__)
+_CURSOR_UNSET = object()
 
 
 _ROOT_TERMINAL_LIFECYCLE_EVENTS = frozenset({"completed", "failed"})
+# `since` returns events after the given seq; -1 means replay from the first event.
+_INITIAL_REPLAY_CURSOR = -1
 
 
 def _is_root_terminal_lifecycle(event: Any) -> bool:
@@ -44,6 +47,9 @@ def _is_root_terminal_lifecycle(event: Any) -> bool:
     data = params.get("data") or {}
     if not isinstance(data, dict):
         return False
+    payload_namespace = data.get("namespace")
+    if isinstance(payload_namespace, list) and payload_namespace:
+        return False
     return data.get("event") in _ROOT_TERMINAL_LIFECYCLE_EVENTS
 
 
@@ -91,6 +97,8 @@ class SyncStreamController:
         self._reconnect_backoff_base = reconnect_backoff_base
         self._reconnect_backoff_cap = reconnect_backoff_cap
         self._drain_threads: set[threading.Thread] = set()
+        self._run_start_replay_cursor: int | None = None
+        self._has_run_start_replay_cursor = False
 
     def register_subscription(self, params: SubscribeParams) -> _SyncSubscription:
         with self._lock:
@@ -116,14 +124,32 @@ class SyncStreamController:
         for sub in subs:
             sub.queue.put(None)
 
-    def reconcile_stream(self, candidate_filter: SubscribeParams) -> None:
+    def mark_run_start_replay_cursor(self, cursor: int | None) -> None:
+        with self._lock:
+            self._run_start_replay_cursor = cursor
+            self._has_run_start_replay_cursor = True
+
+    def reconcile_stream(
+        self,
+        candidate_filter: SubscribeParams,
+        *,
+        use_run_start_replay_cursor: bool = False,
+    ) -> None:
         if self._run_start_gate is not None and not self._run_start_gate.wait(
             timeout=self._run_start_timeout
         ):
             raise TimeoutError("Sync run.start gate timeout.")
         with self._lock:
+            replay_cursor = self._cursor
+            force_replay = False
+            if use_run_start_replay_cursor and self._has_run_start_replay_cursor:
+                replay_cursor = self._run_start_replay_cursor
+                if replay_cursor is None:
+                    replay_cursor = _INITIAL_REPLAY_CURSOR
+                force_replay = replay_cursor != self._cursor
             if (
-                self._shared_stream is not None
+                not force_replay
+                and self._shared_stream is not None
                 and self._shared_stream_filter is not None
                 and filter_covers(self._shared_stream_filter, dict(candidate_filter))
             ):
@@ -131,7 +157,7 @@ class SyncStreamController:
             new_filter = self._compute_current_union(extra=candidate_filter)
             old_stream = self._shared_stream
             self._shared_stream = self._transport.open_event_stream(
-                self._filter_with_since(new_filter)
+                self._filter_with_since(new_filter, replay_cursor)
             )
             self._shared_stream_filter = new_filter
             if old_stream is not None:
@@ -243,10 +269,14 @@ class SyncStreamController:
         if isinstance(seq, int) and (self._cursor is None or seq > self._cursor):
             self._cursor = seq
 
-    def _filter_with_since(self, params: dict[str, Any]) -> dict[str, Any]:
+    def _filter_with_since(
+        self, params: dict[str, Any], cursor: Any = _CURSOR_UNSET
+    ) -> dict[str, Any]:
         out = dict(params)
-        if self._cursor is not None:
-            out["since"] = self._cursor
+        if cursor is _CURSOR_UNSET:
+            cursor = self._cursor
+        if cursor is not None:
+            out["since"] = cursor
         return out
 
     def _dedup_iter(self, source: Any) -> Any:

libs/sdk-py/pyproject.toml

@@ -38,7 +38,8 @@ test = [
 lint = [
     "ruff==0.15.12",
     "codespell",
-    "ty",
+    "mypy==2.1.0",
+    "ty==0.0.33",
     "starlette",
 ]
 dev = [

libs/sdk-py/tests/streaming/test_decoders.py

@@ -340,6 +340,16 @@ def _scoped_factory(*, path, graph_name, trigger_call_id):
     )
 
 
+def _forwarded_lifecycle_event(seq: int, **data: Any) -> dict[str, Any]:
+    return {
+        "type": "event",
+        "method": "lifecycle",
+        "params": {"namespace": [], "data": data},
+        "seq": seq,
+        "event_id": f"evt-{seq}",
+    }
+
+
 def test_subgraphs_decoder_discovers_on_lifecycle_started_once():
     decoder = SubgraphsDecoder(scope=(), handle_factory=_scoped_factory)
     [h] = list(decoder.feed(lifecycle_started_event(seq=1, namespace=["child"])))
@@ -347,6 +357,67 @@ def test_subgraphs_decoder_discovers_on_lifecycle_started_once():
     assert list(decoder.feed(lifecycle_started_event(seq=2, namespace=["child"]))) == []
 
 
+def test_subgraphs_decoder_discovers_on_forwarded_lifecycle_payload_namespace():
+    decoder = SubgraphsDecoder(scope=(), handle_factory=_scoped_factory)
+    [h] = list(
+        decoder.feed(
+            _forwarded_lifecycle_event(
+                seq=1,
+                event="started",
+                namespace=["child:call-1"],
+                graph_name="child",
+                trigger_call_id="call-1",
+            )
+        )
+    )
+    assert h.path == ("child:call-1",)
+    assert h.graph_name == "child"
+    assert h.trigger_call_id == "call-1"
+
+
+def test_subgraphs_decoder_discovers_on_forwarded_lifecycle_running_status():
+    decoder = SubgraphsDecoder(scope=(), handle_factory=_scoped_factory)
+    [h] = list(
+        decoder.feed(
+            _forwarded_lifecycle_event(
+                seq=1,
+                event="running",
+                namespace=["child:call-1"],
+                graph_name="child",
+                trigger_call_id="call-1",
+            )
+        )
+    )
+    assert h.path == ("child:call-1",)
+    assert h.graph_name == "child"
+    assert h.trigger_call_id == "call-1"
+
+
+def test_subgraphs_decoder_completes_on_forwarded_lifecycle_payload_namespace():
+    decoder = SubgraphsDecoder(scope=(), handle_factory=_scoped_factory)
+    [h] = list(
+        decoder.feed(
+            _forwarded_lifecycle_event(
+                seq=1,
+                event="started",
+                namespace=["child:call-1"],
+                graph_name="child",
+                trigger_call_id="call-1",
+            )
+        )
+    )
+    list(
+        decoder.feed(
+            _forwarded_lifecycle_event(
+                seq=2,
+                event="completed",
+                namespace=["child:call-1"],
+            )
+        )
+    )
+    assert h.status == "completed"
+
+
 def test_subgraphs_decoder_discovers_on_tasks_start_without_result():
     decoder = SubgraphsDecoder(scope=(), handle_factory=_scoped_factory)
     [h] = list(decoder.feed(tasks_start_event(seq=1, namespace=["child"])))

libs/sdk-py/tests/streaming/test_scoped_handles.py

@@ -22,6 +22,16 @@ from streaming._events import (
 from streaming._fake_server import FakeServer, _StreamScript
 
 
+def _forwarded_lifecycle_event(seq: int, **data):
+    return {
+        "type": "event",
+        "method": "lifecycle",
+        "params": {"namespace": [], "data": data},
+        "seq": seq,
+        "event_id": f"evt-{seq}",
+    }
+
+
 async def test_subgraphs_subscribes_to_tasks_channel():
     fake = FakeServer()
     fake.script([lifecycle_completed_event(seq=1)])
@@ -64,6 +74,75 @@ async def test_subgraphs_yields_handle_and_completes_status():
     assert handle.error is None
 
 
+async def test_subgraphs_yields_handle_from_forwarded_lifecycle_namespace():
+    fake = FakeServer()
+    fake.script(
+        [
+            lifecycle_started_event(seq=0),
+            _forwarded_lifecycle_event(
+                seq=1,
+                event="running",
+                namespace=["worker:abc"],
+                graph_name="worker",
+                trigger_call_id="abc",
+            ),
+            _forwarded_lifecycle_event(
+                seq=2,
+                event="completed",
+                namespace=["worker:abc"],
+            ),
+            lifecycle_completed_event(seq=3),
+        ]
+    )
+    asgi = httpx.ASGITransport(app=fake.app)
+    async with httpx.AsyncClient(transport=asgi, base_url="http://test") as raw:
+        threads = ThreadsClient(HttpClient(raw))
+        async with threads.stream(thread_id="t-1", assistant_id="agent") as thread:
+            await thread.run.start(input={})
+            handles = [handle async for handle in thread.subgraphs]
+
+    assert len(handles) == 1
+    handle = handles[0]
+    assert handle.path == ("worker:abc",)
+    assert handle.graph_name == "worker"
+    assert handle.trigger_call_id == "abc"
+    assert handle.status == "completed"
+
+
+async def test_subgraphs_replays_from_before_run_start_cursor():
+    fake = FakeServer()
+    fake.script_command_response(
+        {
+            "type": "success",
+            "id": None,
+            "result": {"run_id": "run-1"},
+            "meta": {"applied_through_seq": 3},
+        }
+    )
+    fake.script(
+        [
+            lifecycle_started_event(seq=1),
+            tasks_start_event(seq=2, namespace=["worker:abc"], task_id="t-child"),
+            lifecycle_completed_event(seq=3),
+        ]
+    )
+    asgi = httpx.ASGITransport(app=fake.app)
+    async with httpx.AsyncClient(transport=asgi, base_url="http://test") as raw:
+        threads = ThreadsClient(HttpClient(raw))
+        async with threads.stream(thread_id="t-1", assistant_id="agent") as thread:
+            await thread.run.start(input={})
+            handles = [handle async for handle in thread.subgraphs]
+
+    assert [handle.path for handle in handles] == [("worker:abc",)]
+    subgraph_requests = [
+        body
+        for body in fake.stream_request_bodies
+        if "tasks" in (body.get("channels") or [])
+    ]
+    assert subgraph_requests
+    assert subgraph_requests[-1]["since"] == -1
+
+
 async def test_subgraphs_failed_and_interrupted_statuses():
     failed = FakeServer()
     failed.script(