Studio cli command

.github/actions/poetry_setup/action.yml

@@ -0,0 +1,88 @@
+# An action for setting up poetry install with caching.
+# Using a custom action since the default action does not
+# take poetry install groups into account.
+# Action code from:
+# https://github.com/actions/setup-python/issues/505#issuecomment-1273013236
+name: poetry-install-with-caching
+description: Poetry install with support for caching of dependency groups.
+
+inputs:
+  python-version:
+    description: Python version, supporting MAJOR.MINOR only
+    required: true
+
+  poetry-version:
+    description: Poetry version
+    required: true
+
+  cache-key:
+    description: Cache key to use for manual handling of caching
+    required: true
+
+runs:
+  using: composite
+  steps:
+    - uses: actions/setup-python@v5
+      name: Setup python ${{ inputs.python-version }}
+      id: setup-python
+      with:
+        python-version: ${{ inputs.python-version }}
+
+    - uses: actions/cache@v3
+      id: cache-bin-poetry
+      name: Cache Poetry binary - Python ${{ inputs.python-version }}
+      env:
+        SEGMENT_DOWNLOAD_TIMEOUT_MIN: "1"
+      with:
+        path: |
+          /opt/pipx/venvs/poetry
+        # This step caches the poetry installation, so make sure it's keyed on the poetry version as well.
+        key: bin-poetry-${{ runner.os }}-${{ runner.arch }}-py-${{ inputs.python-version }}-${{ inputs.poetry-version }}
+
+    - name: Refresh shell hashtable and fixup softlinks
+      if: steps.cache-bin-poetry.outputs.cache-hit == 'true'
+      shell: bash
+      env:
+        POETRY_VERSION: ${{ inputs.poetry-version }}
+        PYTHON_VERSION: ${{ inputs.python-version }}
+      run: |
+        set -eux
+
+        # Refresh the shell hashtable, to ensure correct `which` output.
+        hash -r
+
+        # `actions/cache@v3` doesn't always seem able to correctly unpack softlinks.
+        # Delete and recreate the softlinks pipx expects to have.
+        rm /opt/pipx/venvs/poetry/bin/python
+        cd /opt/pipx/venvs/poetry/bin
+        ln -s "$(which "python$PYTHON_VERSION")" python
+        chmod +x python
+        cd /opt/pipx_bin/
+        ln -s /opt/pipx/venvs/poetry/bin/poetry poetry
+        chmod +x poetry
+
+        # Ensure everything got set up correctly.
+        /opt/pipx/venvs/poetry/bin/python --version
+        /opt/pipx_bin/poetry --version
+
+    - name: Install poetry
+      if: steps.cache-bin-poetry.outputs.cache-hit != 'true'
+      shell: bash
+      env:
+        POETRY_VERSION: ${{ inputs.poetry-version }}
+        PYTHON_VERSION: ${{ inputs.python-version }}
+      # Install poetry using the python version installed by setup-python step.
+      run: pipx install "poetry==$POETRY_VERSION" --python '${{ steps.setup-python.outputs.python-path }}' --verbose
+
+    - name: Restore pip and poetry cached dependencies
+      uses: actions/cache@v3
+      env:
+        SEGMENT_DOWNLOAD_TIMEOUT_MIN: "4"
+      with:
+        path: |
+          ~/.cache/pip
+          ~/.cache/pypoetry/virtualenvs
+          ~/.cache/pypoetry/cache
+          ~/.cache/pypoetry/artifacts
+          ./.venv
+        key: py-deps-${{ runner.os }}-${{ runner.arch }}-py-${{ inputs.python-version }}-poetry-${{ inputs.poetry-version }}-${{ inputs.cache-key }}-${{ hashFiles('./poetry.lock') }}

.github/dependabot.yml

@@ -1,11 +0,0 @@
-# Please see the documentation for all configuration options:
-# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
-# and
-# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
-
-version: 2
-updates:
-  - package-ecosystem: "github-actions"
-    directory: "/"
-    schedule:
-      interval: "weekly"

.github/workflows/_integration_test.yml

@@ -3,6 +3,9 @@ name: CLI integration test
 on:
   workflow_call:
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 jobs:
   build:
     runs-on: ubuntu-latest
@@ -22,14 +25,13 @@ jobs:
         uses: Ana06/get-changed-files@v2.3.0
         with:
           filter: "libs/cli/**"
-      - name: Set up Python ${{ matrix.python-version }}
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
         if: steps.changed-files.outputs.all
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "cli-integration-test"
+          cache-key: integration-test-cli
-          ignore-nothing-to-cache: true
       - name: Setup env
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples
@@ -69,3 +71,4 @@ jobs:
         working-directory: libs/cli/js-examples
         run: |
           langgraph build -t langgraph-test-e
+  

.github/workflows/_lint.yml

@@ -9,6 +9,8 @@ on:
         description: "From which folder this pipeline executes"
 
 env:
+  POETRY_VERSION: "1.7.1"
+
   # This env var allows us to get inline annotations when ruff has complaints.
   RUFF_OUTPUT_FORMAT: github
 
@@ -34,28 +36,48 @@ jobs:
         uses: Ana06/get-changed-files@v2.3.0
         with:
           filter: "${{ inputs.working-directory }}/**"
-      - name: Set up Python ${{ matrix.python-version }}
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
         if: steps.changed-files.outputs.all
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: lint-${{ inputs.working-directory }}
+          cache-key: lint-${{ inputs.working-directory }}
+
+      - name: Check Poetry File
+        if: steps.changed-files.outputs.all
+        shell: bash
+        working-directory: ${{ inputs.working-directory }}
+        run: poetry check
+
+      - name: Check lock file
+        if: steps.changed-files.outputs.all
+        shell: bash
+        working-directory: ${{ inputs.working-directory }}
+        run: poetry check --lock
 
       - name: Install dependencies
         if: steps.changed-files.outputs.all
+        # Also installs dev/lint/test/typing dependencies, to ensure we have
+        # type hints for as many of our libraries as possible.
+        # This helps catch errors that require dependencies to be spotted, for example:
+        # https://github.com/langchain-ai/langchain/pull/10249/files#diff-935185cd488d015f026dcd9e19616ff62863e8cde8c0bee70318d3ccbca98341
+        #
+        # If you change this configuration, make sure to change the `cache-key`
+        # in the `poetry_setup` action above to stop using the old cache.
+        # It doesn't matter how you change it, any change will cause a cache-bust.
         working-directory: ${{ inputs.working-directory }}
-        run: uv sync --frozen --group dev
+        run: poetry install --with dev
 
       - name: Get .mypy_cache to speed up mypy
         if: steps.changed-files.outputs.all
-        uses: actions/cache@v4
+        uses: actions/cache@v3
         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)) }}
+          key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }}
 
       - name: Analysing package code with our lint
         if: steps.changed-files.outputs.all
@@ -70,18 +92,27 @@ jobs:
 
       - name: Install test dependencies
         if: steps.changed-files.outputs.all
+        # Also installs dev/lint/test/typing dependencies, to ensure we have
+        # type hints for as many of our libraries as possible.
+        # This helps catch errors that require dependencies to be spotted, for example:
+        # https://github.com/langchain-ai/langchain/pull/10249/files#diff-935185cd488d015f026dcd9e19616ff62863e8cde8c0bee70318d3ccbca98341
+        #
+        # If you change this configuration, make sure to change the `cache-key`
+        # in the `poetry_setup` action above to stop using the old cache.
+        # It doesn't matter how you change it, any change will cause a cache-bust.
         working-directory: ${{ inputs.working-directory }}
-        run: uv sync --group dev
+        run: |
+          poetry install --with dev
 
       - name: Get .mypy_cache_test to speed up mypy
         if: steps.changed-files.outputs.all
-        uses: actions/cache@v4
+        uses: actions/cache@v3
         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)) }}
+          key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }}
 
       - name: Analysing tests with our lint
         if: steps.changed-files.outputs.all

.github/workflows/_test.yml

@@ -8,6 +8,9 @@ on:
         type: string
         description: "From which folder this pipeline executes"
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 jobs:
   build:
     runs-on: ubuntu-latest
@@ -23,12 +26,12 @@ jobs:
     name: "test #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4
-      - name: Set up Python ${{ matrix.python-version }}
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: test-${{ inputs.working-directory }}
+          cache-key: test-${{ inputs.working-directory }}
       - name: Login to Docker Hub
         uses: docker/login-action@v3
         if: ${{ !github.event.pull_request.head.repo.fork }}
@@ -36,15 +39,23 @@ jobs:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
           password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
 
+      - name: Check Lock
+        shell: bash
+        working-directory: ${{ inputs.working-directory }}
+        run: |
+          poetry check --lock
+
       - name: Install dependencies
         shell: bash
         working-directory: ${{ inputs.working-directory }}
-        run: uv sync --frozen --group dev
+        run: |
+          poetry install --with dev
 
       - name: Run tests
         shell: bash
         working-directory: ${{ inputs.working-directory }}
-        run: make test
+        run: |
+          make test
 
       - name: Ensure the tests did not create any additional files
         shell: bash

.github/workflows/_test_langgraph.yml

@@ -3,6 +3,9 @@ name: test
 on:
   workflow_call:
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 jobs:
   build:
     runs-on: ubuntu-latest
@@ -21,12 +24,12 @@ jobs:
     name: "test #${{ matrix.python-version }}"
     steps:
       - uses: actions/checkout@v4
-      - name: Set up Python ${{ matrix.python-version }}
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ matrix.python-version }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "test-langgraph"
+          cache-key: test-langgraph
       - name: Login to Docker Hub
         uses: docker/login-action@v3
         if: ${{ !github.event.pull_request.head.repo.fork }}
@@ -36,11 +39,13 @@ jobs:
 
       - name: Install dependencies
         shell: bash
-        run: uv sync --frozen --group dev
+        run: |
+          poetry install --with dev
 
       - name: Run tests
         shell: bash
-        run: make test_parallel
+        run: |
+          make test_parallel
 
       - name: Ensure the tests did not create any additional files
         shell: bash

.github/workflows/_test_release.yml

@@ -9,6 +9,7 @@ on:
         description: "From which folder this pipeline executes"
 
 env:
+  POETRY_VERSION: "1.7.1"
   PYTHON_VERSION: "3.10"
 
 jobs:
@@ -23,12 +24,12 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python $${ env.PYTHON_VERSION }}
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "release"
+          cache-key: release
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -42,7 +43,7 @@ jobs:
       # > from the publish job.
       # https://github.com/pypa/gh-action-pypi-publish#non-goals
       - name: Build project for distribution
-        run: uv build
+        run: poetry build
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
@@ -56,8 +57,8 @@ jobs:
         shell: bash
         working-directory: ${{ inputs.working-directory }}
         run: |
-          echo pkg-name=$(grep -m 1 "^name = " pyproject.toml | cut -d '"' -f 2)
+          echo pkg-name="$(poetry version | cut -d ' ' -f 1)" >> $GITHUB_OUTPUT
-          echo version=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
+          echo version="$(poetry version --short)" >> $GITHUB_OUTPUT
 
   publish:
     needs:

.github/workflows/_test_scheduler_kafka.yml

@@ -0,0 +1,57 @@
+name: test
+
+on:
+  workflow_call:
+
+env:
+  POETRY_VERSION: "1.7.1"
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version:
+          - "3.11"
+          - "3.12"
+
+    defaults:
+      run:
+        working-directory: libs/scheduler-kafka
+    name: "test #${{ matrix.python-version }}"
+    steps:
+      - uses: actions/checkout@v4
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+        uses: "./.github/actions/poetry_setup"
+        with:
+          python-version: ${{ matrix.python-version }}
+          poetry-version: ${{ env.POETRY_VERSION }}
+          cache-key: test-scheduler-kafka
+      - name: Login to Docker Hub
+        uses: docker/login-action@v3
+        if: ${{ !github.event.pull_request.head.repo.fork }}
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
+
+      - name: Install dependencies
+        shell: bash
+        run: |
+          poetry install --with dev
+
+      - name: Run tests
+        shell: bash
+        run: |
+          make test
+
+      - name: Ensure the tests did not create any additional files
+        shell: bash
+        run: |
+          set -eu
+
+          STATUS="$(git status)"
+          echo "$STATUS"
+
+          # grep will exit non-zero if the target message isn't found,
+          # and `set -e` above will cause the step to fail.
+          echo "$STATUS" | grep 'nothing to commit, working tree clean'

.github/workflows/baseline.yml

@@ -7,6 +7,9 @@ on:
     paths:
       - "libs/**"
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 jobs:
   benchmark:
     runs-on: ubuntu-latest
@@ -16,14 +19,14 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
-      - name: Set up Python 3.11
+      - name: Set up Python 3.11 + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: "3.11"
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "bench"
+          cache-key: bench
       - name: Install dependencies
-        run: uv sync --group dev
+        run: poetry install --with dev
       - name: Run benchmarks
         run: OUTPUT=out/benchmark-baseline.json make -s benchmark
       - name: Save outputs

.github/workflows/bench.yml

@@ -5,6 +5,9 @@ on:
     paths:
       - "libs/**"
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 jobs:
   benchmark:
     runs-on: ubuntu-latest
@@ -18,14 +21,14 @@ jobs:
         uses: Ana06/get-changed-files@v2.3.0
         with:
           format: json
-      - name: Set up Python 3.11
+      - name: Set up Python 3.11 + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: "3.11"
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "bench"
+          cache-key: bench
       - name: Install dependencies
-        run: uv sync --group dev
+        run: poetry install --with dev
       - name: Download baseline
         uses: actions/cache/restore@v4
         with:
@@ -40,7 +43,7 @@ jobs:
         run: |
           {
             echo 'OUTPUT<<EOF'
-            make -s benchmark-fast
+            make -s benchmark
             echo EOF
           } >> "$GITHUB_OUTPUT"
       - name: Compare benchmarks
@@ -50,7 +53,7 @@ jobs:
             echo 'OUTPUT<<EOF'
             mv out/benchmark-baseline.json out/main.json
             mv out/benchmark.json out/changes.json
-            uv run pyperf compare_to out/main.json out/changes.json --table --group-by-speed
+            poetry run pyperf compare_to out/main.json out/changes.json --table --group-by-speed
             echo EOF
           } >> "$GITHUB_OUTPUT"
       - name: Annotation

.github/workflows/ci.yml

@@ -16,6 +16,9 @@ concurrency:
   group: ${{ github.workflow }}-${{ github.ref }}
   cancel-in-progress: true
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 jobs:
   changes:
     runs-on: ubuntu-latest
@@ -35,6 +38,7 @@ jobs:
               - 'libs/checkpoint/**'
               - 'libs/checkpoint-sqlite/**'
               - 'libs/checkpoint-postgres/**'
+              - 'libs/scheduler-kafka/**'
               - 'libs/prebuilt/**'
             sdk-js:
               - 'libs/sdk-js/**'
@@ -52,7 +56,7 @@ jobs:
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
-
+            "libs/scheduler-kafka",
             "libs/prebuilt",
           ]
     if: needs.changes.outputs.python == 'true'
@@ -88,6 +92,14 @@ jobs:
     uses: ./.github/workflows/_test_langgraph.yml
     secrets: inherit
 
+  # NOTE: we're testing scheduler-kafka separately because it requires a different matrix
+  test-scheduler-kafka:
+    needs: changes
+    if: needs.changes.outputs.python == 'true'
+    name: "cd libs/scheduler-kafka"
+    uses: ./.github/workflows/_test_scheduler_kafka.yml
+    secrets: inherit
+
   check-sdk-methods:
     needs: changes
     if: needs.changes.outputs.python == 'true'
@@ -113,26 +125,26 @@ jobs:
           - "3.11"
     steps:
       - uses: actions/checkout@v4
-      - name: Set up Python ${{ matrix.python-version }}
+      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: "3.11"
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "schema-check-cli"
+          cache-key: schema-check-cli
       - name: Install CLI dependencies
         run: |
           cd libs/cli
-          uv sync
+          poetry install
       - name: Generate schema and check for changes
         run: |
           cd libs/cli
           # Create a temporary copy of the current schema
           cp schemas/schema.json schemas/schema.current.json
           # Generate new schema
-          uv run python generate_schema.py
+          poetry run python generate_schema.py
           # Compare the new schema with the original
           if ! diff -q schemas/schema.json schemas/schema.current.json > /dev/null; then
-            echo "Error: Langgraph.json configuration schema has changed. Please run 'uv run python generate_schema.py' in the libs/cli directory and commit the changes."
+            echo "Error: Langgraph.json configuration schema has changed. Please run 'poetry run python generate_schema.py' in the libs/cli directory and commit the changes."
             diff schemas/schema.json schemas/schema.current.json
             exit 1
           fi
@@ -157,9 +169,9 @@ jobs:
       run:
         working-directory: ${{ matrix.working-directory }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v3
       - name: Setup Node.js (LTS)
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v3
         with:
           node-version: "20"
           cache: "yarn"
@@ -183,9 +195,9 @@ jobs:
       run:
         working-directory: ${{ matrix.working-directory }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v3
       - name: Setup Node.js (LTS)
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v3
         with:
           node-version: "20"
           cache: "yarn"
@@ -203,6 +215,7 @@ jobs:
         lint-js,
         test,
         test-langgraph,
+        test-scheduler-kafka,
         check-sdk-methods,
         check-schema,
         integration-test,

.github/workflows/deploy_docs.yml

@@ -9,6 +9,9 @@ on:
       - main
   workflow_dispatch:
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 permissions:
   contents: read
   pages: write
@@ -35,13 +38,12 @@ jobs:
         with:
           filter: "docs/docs/**"
 
-  # TODO: Uncomment this to run on PRs
+  run-changed-notebooks:
-  # run-changed-notebooks:
+    needs: get-changed-files
-  #   needs: get-changed-files
+    uses: ./.github/workflows/run_notebooks.yml
-  #   uses: ./.github/workflows/run_notebooks.yml
+    secrets: inherit
-  #   secrets: inherit
+    with:
-  #   with:
+      changed-files: ${{ needs.get-changed-files.outputs.changed-files }}
-  #     changed-files: ${{ needs.get-changed-files.outputs.changed-files }}
 
   deploy:
     # needs: run-changed-notebooks
@@ -54,23 +56,42 @@ jobs:
         with:
           fetch-depth: 0
 
-      - name: Set up Python
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: "3.12"
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "docs"
+          cache-key: docs
+
+      - name: Use Node.js
+        uses: actions/setup-node@v3
+        with:
+          node-version: "22"
+          cache: "yarn"
+          cache-dependency-path: docs/yarn.lock
 
       - name: Install dependencies
         run: |
           yarn
-          uv sync --all-groups
+          poetry install --with test --with docs --no-root
+          poetry run pip install -U \
+            pytest \
+            pytest-check-links \
+            GitPython \
+            "git+https://github.com/benjamincburns/markdown-exec.git@cc0d39d737e5ffd4b83d23cd8729d7ea16e363c8"
+
           # we run this installation only for internal PRs
           # as GITHUB_TOKEN is not available for PRs from outside contributors
           if [ -n "${GITHUB_TOKEN}" ]; then
-            uv run pip install "git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
+            poetry run pip install "git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
           fi
 
+          poetry run jupyter kernelspec list
+          poetry run python3 -m ipykernel install --user --name=python3
+          npm install -g tslab
+          poetry run tslab install --python=python3
+          poetry run jupyter kernelspec list
+
       - name: Run unit tests
         # Run unit tests on the docs build pipeline
         run: make tests
@@ -96,11 +117,10 @@ jobs:
       - name: Check links in notebooks
         env:
           LANGCHAIN_API_KEY: test
-        if: github.event_name == 'schedule'
         run: |
-          if [ "${{ github.event_name }}" == "schedule" ]; then
+          if [ "${{ github.event_name }}" == "schedule" ] || [ "${{ github.event_name }}" == "workflow_dispatch" ] || ([ "${{ github.event_name }}" == "push" ] && [ "${{ github.ref }}" == "refs/heads/main" ]); then
             echo "Running link check on all HTML files matching notebooks in docs directory..."
-            uv run pytest -v \
+            poetry run pytest -v \
               --check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
               --check-links-ignore "https://academy\.langchain\.com/.*" \
               --check-links-ignore "https://x.com/.*" \
@@ -125,7 +145,7 @@ jobs:
             echo "Changed files: ${CHANGED_FILES}"
             if [ -n "${CHANGED_FILES}" ]; then
               echo "Running link check on HTML files matching changed notebook files..."
-              uv run pytest -v \
+              poetry run pytest -v \
                 --check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
                 --check-links-ignore "https://academy\.langchain\.com/.*" \
                 --check-links-ignore "http://localhost:8123/.*" \
@@ -145,7 +165,7 @@ jobs:
 
       - name: Configure GitHub Pages
         if: github.ref == 'refs/heads/main'
-        uses: actions/configure-pages@v5
+        uses: actions/configure-pages@v4
 
       - name: Upload Pages Artifact
         # if: github.ref == 'refs/heads/main'

.github/workflows/link_check.yml

@@ -11,6 +11,9 @@ on:
     - cron: "0 5 * * *"
   workflow_dispatch:
 
+env:
+  POETRY_VERSION: "1.7.1"
+
 jobs:
   markdown-link-check:
     runs-on: ubuntu-latest
@@ -39,8 +42,8 @@ jobs:
 
       - name: Check README.md is in sync
         run: |
-          if ! diff -q README.md libs/langgraph/README.md >/dev/null; then
+            if ! diff -q README.md libs/langgraph/README.md >/dev/null; then
-          echo "README.md is out of sync with libs/langgraph/README.md"
+            echo "README.md is out of sync with libs/langgraph/README.md"
-          diff -C 3 README.md libs/langgraph/README.md
+            diff -C 3 README.md libs/langgraph/README.md
-          exit 1
+            exit 1
-          fi
+            fi

.github/workflows/release.yml

@@ -10,6 +10,7 @@ on:
 
 env:
   PYTHON_VERSION: "3.11"
+  POETRY_VERSION: "1.7.1"
 
 jobs:
   build:
@@ -25,12 +26,12 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "release"
+          cache-key: release
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -44,7 +45,7 @@ jobs:
       # > from the publish job.
       # https://github.com/pypa/gh-action-pypi-publish#non-goals
       - name: Build project for distribution
-        run: uv build
+        run: poetry build
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
@@ -58,8 +59,8 @@ jobs:
         shell: bash
         working-directory: ${{ inputs.working-directory }}
         run: |
-          PKG_NAME=$(grep -m 1 "^name = " pyproject.toml | cut -d '"' -f 2)
+          PKG_NAME="$(poetry version | cut -d ' ' -f 1)"
-          VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
+          VERSION="$(poetry version --short)"
           SHORT_PKG_NAME="$(echo "$PKG_NAME" | sed -e 's/langgraph//g' -e 's/-//g')"
           if [ -z $SHORT_PKG_NAME ]; then
             TAG="$VERSION"
@@ -162,11 +163,11 @@ jobs:
       # - The package is published, and it breaks on the missing dependency when
       #   used in the real world.
 
-      - name: Set up Python
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
 
       - name: Import published package
         shell: bash
@@ -184,18 +185,18 @@ jobs:
         # - attempt install again after 5 seconds if it fails because there is
         #   sometimes a delay in availability on test pypi
         run: |
-          uv run pip install \
+          poetry run pip install \
             --extra-index-url https://test.pypi.org/simple/ \
             "$PKG_NAME==$VERSION" || \
           ( \
             sleep 5 && \
-            uv run pip install \
+            poetry run pip install \
               --extra-index-url https://test.pypi.org/simple/ \
               "$PKG_NAME==$VERSION" \
           )
 
           if [[ "$PKG_NAME" == *prebuilt* ]]; then
-            uv run pip install langgraph
+            poetry run pip install langgraph
           fi
 
           if [[ "$PKG_NAME" == *checkpoint* || "$PKG_NAME" == *prebuilt* ]]; then
@@ -208,10 +209,10 @@ jobs:
             IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/_/g)"
           fi
 
-          uv run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
+          poetry run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
 
       - name: Import test dependencies
-        run: uv sync --group dev
+        run: poetry install --with dev
         working-directory: ${{ inputs.working-directory }}
 
       # Overwrite the local version of the package with the test PyPI version.
@@ -222,7 +223,7 @@ jobs:
           PKG_NAME: ${{ needs.build.outputs.pkg-name }}
           VERSION: ${{ needs.build.outputs.version }}
         run: |
-          uv run pip install \
+          poetry run pip install \
             --extra-index-url https://test.pypi.org/simple/ \
             "$PKG_NAME==$VERSION"
 
@@ -252,12 +253,12 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "release"
+          cache-key: release
 
       - uses: actions/download-artifact@v4
         with:
@@ -293,12 +294,12 @@ jobs:
     steps:
       - uses: actions/checkout@v4
 
-      - name: Set up Python
+      - name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: true
+          poetry-version: ${{ env.POETRY_VERSION }}
-          cache-suffix: "release"
+          cache-key: release
 
       - uses: actions/download-artifact@v4
         with:

.github/workflows/release_js.yml

@@ -22,7 +22,7 @@ jobs:
       - uses: actions/checkout@v4
       # JS Build
       - name: Use Node.js
-        uses: actions/setup-node@v4
+        uses: actions/setup-node@v3
         with:
           node-version: "20"
           cache: "yarn"

.github/workflows/run_notebooks.yml

@@ -9,7 +9,7 @@ on:
         type: string
         description: "JSON string of changed files"
   schedule:
-    - cron: "0 13 * * *"
+    - cron: '0 13 * * *'
 
 defaults:
   run:
@@ -27,30 +27,30 @@ jobs:
     steps:
       - uses: actions/checkout@v4
       - name: Set up Python + Poetry
-        uses: astral-sh/setup-uv@v6
+        uses: "./.github/actions/poetry_setup"
         with:
-          python-version: "3.11"
+          python-version: 3.11
-          enable-cache: true
+          poetry-version: 1.7.1
-          cache-suffix: "test-langgraph-notebooks"
+          cache-key: test-langgraph-notebooks
 
       - name: Install dependencies
         run: |
-          uv sync --group test
+          poetry install --with test
-          uv run pip install jupyter
+          poetry run pip install jupyter
 
       - name: Start services
         run: make start-services
 
       - name: Pre-download tiktoken files
         run: |
-          uv run python _scripts/download_tiktoken.py
+          poetry run python _scripts/download_tiktoken.py
 
       - name: Prepare notebooks
         run: |
           if [ "${{ matrix.lib-version }}" = "development" ]; then
-            uv run python _scripts/prepare_notebooks_for_ci.py --comment-install-cells
+            poetry run python _scripts/prepare_notebooks_for_ci.py --comment-install-cells
           else
-            uv run python _scripts/prepare_notebooks_for_ci.py
+            poetry run python _scripts/prepare_notebooks_for_ci.py
           fi
 
       - name: Run notebooks

.gitignore

@@ -180,5 +180,3 @@ Chinook.db
 
 .vercel
 .turbo
-.editorconfig
-.scratch

CONTRIBUTING.md

@@ -109,7 +109,7 @@ Here are some high-level tips on writing a good how-to guide:
 LangGraph's conceptual guides fall under the **Explanation** quadrant of Diataxis. They should cover LangChain terms and concepts
 in a more abstract way than how-to guides or tutorials, and should be geared towards curious users interested in
 gaining a deeper understanding of the framework. Try to avoid excessively large code examples. The goal here is to
-impart perspective to the user rather than to finish a practical project. These guides should cover **why** things work the way they do.
+impart perspective to the user rather than to finish a practical project. These guides should cover **why** things work they way they do.
 
 
 To quote the Diataxis website:
@@ -153,7 +153,7 @@ Each category serves a distinct purpose and requires a specific approach to writ
 
 Here are some other guidelines you should think about when writing and organizing documentation.
 
-We generally do not merge new tutorials from outside contributors without an actual need.
+We generally do not merge new tutorials from outside contributors without an actue need.
 We welcome updates as well as new integration docs, how-tos, and references.
 
 ### Avoid duplication
@@ -227,7 +227,6 @@ see a preview of the documentation on the pull request page.
 
 From the **monorepo root**, run the following command to install the dependencies:
 
-<!-- TODO -->
 ```bash
 poetry install --with docs --no-root
 ```

README.md

@@ -12,52 +12,49 @@
 [![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
 [![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
 [![Docs](https://img.shields.io/badge/docs-latest-blue)](https://langchain-ai.github.io/langgraph/)
-[![GitMCP](https://img.shields.io/endpoint?url=https://gitmcp.io/badge/langchain-ai/langgraph)](https://gitmcp.io/langchain-ai/langgraph)
 
-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.
+> [!NOTE]
+> Looking for the JS version? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).
 
-## Get started
+LangGraph — used by Replit, Uber, LinkedIn, GitLab and more — is a low-level orchestration framework for building controllable agents. While langchain provides integrations and composable components to streamline LLM application development, the LangGraph library enables agent orchestration — offering customizable architectures, long-term memory, and human-in-the-loop to reliably handle complex tasks.
 
-Install LangGraph:
+```bash
-
-```
 pip install -U langgraph
 ```
 
-Then, create an agent [using prebuilt components](https://langchain-ai.github.io/langgraph/agents/agents/):
+To learn more about how to use LangGraph, check out [the docs](https://langchain-ai.github.io/langgraph/). We show a simple example below of how to create a ReAct agent.
 
 ```python
-# pip install -qU "langchain[anthropic]" to call the model
+# This code depends on pip install langchain[anthropic]
-
 from langgraph.prebuilt import create_react_agent
 
-def get_weather(city: str) -> str:
+def search(query: str):
-    """Get weather for a given city."""
+    """Call to surf the web."""
-    return f"It's always sunny in {city}!"
+    if "sf" in query.lower() or "san francisco" in query.lower():
+        return "It's 60 degrees and foggy."
+    return "It's 90 degrees and sunny."
 
-agent = create_react_agent(
+agent = create_react_agent("anthropic:claude-3-7-sonnet-latest", tools=[search])
-    model="anthropic:claude-3-7-sonnet-latest",
-    tools=[get_weather],
-    prompt="You are a helpful assistant"
-)
-
-# Run the agent
 agent.invoke(
     {"messages": [{"role": "user", "content": "what is the weather in sf"}]}
 )
 ```
 
-For more information, see the [Quickstart](https://langchain-ai.github.io/langgraph/agents/agents/). Or, to learn how to build an [agent workflow](https://langchain-ai.github.io/langgraph/concepts/low_level/) with a customizable architecture, long-term memory, and other complex task handling, see the [LangGraph basics tutorials](https://langchain-ai.github.io/langgraph/tutorials/get-started/1-build-basic-chatbot/).
+## Why use LangGraph?
 
-## Core benefits
+LangGraph is built for developers who want to build powerful, adaptable AI agents. Developers choose LangGraph for:
 
-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:
+- **Reliability and controllability.** Steer agent actions with moderation checks and human-in-the-loop approvals. LangGraph persists context for long-running workflows, keeping your agents on course.
+- **Low-level and extensible.** Build custom agents with fully descriptive, low-level primitives – free from rigid abstractions that limit customization. Design scalable multi-agent systems, with each agent serving a specific role tailored to your use case.
+- **First-class streaming support.** With token-by-token streaming and streaming of intermediate steps, LangGraph gives users clear visibility into agent reasoning and actions as they unfold in real time.
 
-- [Durable execution](https://langchain-ai.github.io/langgraph/concepts/durable_execution/): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
+LangGraph is trusted in production and powering agents for companies like:
-- [Human-in-the-loop](https://langchain-ai.github.io/langgraph/concepts/human_in_the_loop/): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
+
-- [Comprehensive memory](https://langchain-ai.github.io/langgraph/concepts/memory/): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
+- [Klarna](https://blog.langchain.dev/customers-klarna/): Customer support bot for 85 million active users
-- [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.
+- [Elastic](https://www.elastic.co/blog/elastic-security-generative-ai-features): Security AI assistant for threat detection
-- [Production-ready deployment](https://langchain-ai.github.io/langgraph/concepts/deployment_options/): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
+- [Uber](https://dpe.org/sessions/ty-smith-adam-huda/this-year-in-ubers-ai-driven-developer-productivity-revolution/): Automated unit test generation
+- [Replit](https://www.langchain.com/breakoutagents/replit): Code generation
+- And many more ([see list here](https://www.langchain.com/built-with-langgraph))
 
 ## LangGraph’s ecosystem
 
@@ -65,20 +62,26 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 
 - [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.
 - [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
-- [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development.
 
-> [!NOTE]
+## Pairing with LangGraph Platform
-> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).
+
+While LangGraph is our open-source agent orchestration framework, enterprises that need scalable agent deployment can benefit from [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/).
+
+LangGraph Platform can help engineering teams:
+
+- **Accelerate agent development**: Quickly create agent UXs with configurable templates and [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/) for visualizing and debugging agent interactions.
+- **Deploy seamlessly**: We handle the complexity of deploying your agent. LangGraph Platform includes robust APIs for memory, threads, and cron jobs plus auto-scaling task queues & servers.
+- **Centralize agent management & reusability**: Discover, reuse, and manage agents across the organization. Business users can also modify agents without coding.
 
 ## Additional resources
 
-- [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
-- [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
-- [Examples](https://langchain-ai.github.io/langgraph/tutorials/overview/): Guided examples on getting started with LangGraph.
 - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
+- [Tutorials](https://langchain-ai.github.io/langgraph/tutorials/): Simple walkthroughs with guided examples on getting started with LangGraph.
 - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted.
-- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
+- [How-to Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
+- [Built with LangGraph](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship powerful, production-ready AI applications.
 
 ## Acknowledgements
 
-LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
+LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.

docs/Makefile

@@ -12,30 +12,32 @@ build-prebuilt:
 	# generates the final prebuilt page.
 	@if [ "$(DOWNLOAD_STATS)" = "true" ]; then \
 		set -x; \
-		uv run python -m _scripts.third_party_page.get_download_stats stats.yml; \
+		poetry run python -m _scripts.third_party_page.get_download_stats stats.yml; \
 		set +x; \
 	else \
 		set -x; \
-		uv run python -m _scripts.third_party_page.get_download_stats --fake stats.yml; \
+		poetry run python -m _scripts.third_party_page.get_download_stats --fake stats.yml; \
 		set +x; \
 	fi
-	uv run python -m _scripts.third_party_page.create_third_party_page stats.yml docs/agents/prebuilt.md --language python
+	poetry run python -m _scripts.third_party_page.create_third_party_page stats.yml docs/prebuilt.md --language python
 
 build-docs: build-typedoc build-prebuilt
-	uv run python -m mkdocs build --clean -f mkdocs.yml --strict
+	poetry run python -m mkdocs build --clean -f mkdocs.yml --strict
 
 llms-text:
-	uv run python -m _scripts.generate_llms_text docs/llms-full.txt
+	poetry run python -m _scripts.generate_llms_text docs/llms-full.txt
 
 install-vercel-deps:
-	curl -sL "https://astral.sh/uv/install.sh" | bash -s
+	dnf install -y python3.11
-	export PATH="${HOME}/.cargo/bin:${PATH}"
+	curl -sSL https://install.python-poetry.org | python3 -
-	uv venv --python 3.11
+	poetry self update 1.8.5
-	uv sync --all-groups
+	# don't use vercel's python - it wasn't compiled with sqlite support, and it fails when installing ipython's kernel
+	poetry env use /usr/bin/python3.11
+	poetry install --with docs --with test --no-root
 
 tests:
 	# Run unit tests
-	uv run pytest tests/unit_tests
+	poetry run pytest tests/unit_tests
 
 
 vercel-build-docs: install-vercel-deps
@@ -43,10 +45,10 @@ vercel-build-docs: install-vercel-deps
 
 
 serve-clean-docs: clean-docs
-	uv run python -m mkdocs serve -c -f mkdocs.yml --strict -w ../libs/langgraph
+	poetry run python -m mkdocs serve -c -f mkdocs.yml --strict -w ../libs/langgraph
 
 serve-docs: build-typedoc
-	uv run python -m mkdocs serve -f mkdocs.yml -w ../libs/langgraph  -w ../libs/checkpoint -w ../libs/sdk-py --dirty
+	poetry run python -m mkdocs serve -f mkdocs.yml -w ../libs/langgraph  -w ../libs/checkpoint -w ../libs/sdk-py --dirty
 
 clean-docs:
 	find ./docs -name "*.ipynb" -type f -delete
@@ -54,13 +56,13 @@ clean-docs:
 
 ## Run format against the project documentation.
 format-docs:
-	uv run ruff format docs
+	poetry run ruff format docs
-	uv run ruff check --fix docs
+	poetry run ruff check --fix docs
 
 # Check the docs for linting violations
 lint-docs:
-	uv run ruff format --check docs
+	poetry run ruff format --check docs
-	uv run ruff check docs
+	poetry run ruff check docs
 
 codespell:
 	./codespell_notebooks.sh .

docs/README.md

@@ -3,7 +3,7 @@
 To setup requirements for building docs you can run:
 
 ```bash
-uv sync --group test
+poetry install --with test
 ```
 
 ## Serving documentation locally
@@ -58,4 +58,4 @@ To delete cassettes for a notebook, you can run:
 
 ```bash
 rm cassettes/<notebook_name>*
-```
+```

docs/_scripts/execute_notebooks.sh

@@ -8,7 +8,7 @@ execute_notebook() {
     file="$1"
     echo "Starting execution of $file"
     start_time=$(date +%s)
-    if ! output=$(time uv run jupyter execute "$file" 2>&1); then
+    if ! output=$(time poetry run jupyter execute "$file" 2>&1); then
         end_time=$(date +%s)
         execution_time=$((end_time - start_time))
         echo "Error in $file. Execution time: $execution_time seconds"

docs/_scripts/generate_api_reference_links.py

@@ -22,12 +22,6 @@ MANUAL_API_REFERENCES_LANGGRAPH = [
         "create_react_agent",
         "prebuilt",
     ),
-    (
-        [],
-        "langgraph.prebuilt.chat_agent_executor",
-        "AgentState",
-        "prebuilt",
-    ),
     (["langgraph.prebuilt"], "langgraph.prebuilt.tool_node", "ToolNode", "prebuilt"),
     (
         ["langgraph.prebuilt"],
@@ -51,8 +45,6 @@ MANUAL_API_REFERENCES_LANGGRAPH = [
     (["langgraph.constants"], "langgraph.types", "Interrupt", "types"),
     (["langgraph.constants"], "langgraph.types", "interrupt", "types"),
     (["langgraph.constants"], "langgraph.types", "Command", "types"),
-    (["langgraph.config"], "langgraph.config", "get_stream_writer", "config"),
-    (["langgraph.config"], "langgraph.config", "get_store", "config"),
     (["langgraph.func"], "langgraph.func", "entrypoint", "func"),
     (["langgraph.func"], "langgraph.func", "task", "func"),
     (["langgraph.types"], "langgraph.types", "RetryPolicy", "types"),
@@ -64,23 +56,10 @@ MANUAL_API_REFERENCES_LANGGRAPH = [
     ([], "langgraph.checkpoint.base", "SerializerProtocol", "checkpoints"),
     ([], "langgraph.checkpoint.serde.jsonplus", "JsonPlusSerializer", "checkpoints"),
     ([], "langgraph.checkpoint.memory", "MemorySaver", "checkpoints"),
-    ([], "langgraph.checkpoint.memory", "InMemorySaver", "checkpoints"),
     ([], "langgraph.checkpoint.sqlite.aio", "AsyncSqliteSaver", "checkpoints"),
     ([], "langgraph.checkpoint.sqlite", "SqliteSaver", "checkpoints"),
     ([], "langgraph.checkpoint.postgres.aio", "AsyncPostgresSaver", "checkpoints"),
     ([], "langgraph.checkpoint.postgres", "PostgresSaver", "checkpoints"),
-    # other prebuilts
-    (["langgraph_supervisor"], "langgraph_supervisor.supervisor", "create_supervisor", "supervisor"),
-    (["langgraph_supervisor"], "langgraph_supervisor.handoff", "create_handoff_tool", "supervisor"),
-    ([], "langgraph_supervisor.handoff", "create_forward_message_tool", "supervisor"),
-    (["langgraph_swarm"], "langgraph_swarm.swarm", "create_swarm", "swarm"),
-    (["langgraph_swarm"], "langgraph_swarm.swarm", "add_active_agent_router", "swarm"),
-    (["langgraph_swarm"], "langgraph_swarm.swarm", "SwarmState", "swarm"),
-    (["langgraph_swarm"], "langgraph_swarm.handoff", "create_handoff_tool", "swarm"),
-    ([], "langchain_mcp_adapters.client", "MultiServerMCPClient", "mcp"),
-    ([], "langchain_mcp_adapters.tools", "load_mcp_tools", "mcp"),
-    ([], "langchain_mcp_adapters.prompts", "load_mcp_prompt", "mcp"),
-    ([], "langchain_mcp_adapters.resources", "load_mcp_resources", "mcp"),
 ]
 
 WELL_KNOWN_LANGGRAPH_OBJECTS = {
@@ -162,9 +141,7 @@ def get_imports(code: str, path: str) -> List[ImportInformation]:
     for found_import in found_imports:
         module = found_import["source"]
 
-        if module.startswith("langchain_mcp_adapters"):
+        if module.startswith("langchain"):
-            package_ecosystem = "langgraph"
-        elif module.startswith("langchain"):
             # Handles things like `langchain` or `langchain_anthropic`
             package_ecosystem = "langchain"
         elif module.startswith("langgraph"):
@@ -237,7 +214,7 @@ def update_markdown_with_imports(markdown: str, path: str) -> str:
         path: The path of the file where the markdown content originated.
 
     Returns:
-        Updated markdown with API reference links prepended to Python code blocks.
+        Updated markdown with API reference links appended to Python code blocks.
 
     Example:
         Given a markdown with a Python code block:
@@ -260,7 +237,7 @@ def update_markdown_with_imports(markdown: str, path: str) -> str:
             match (re.Match): The regex match object containing the code block.
 
         Returns:
-            str: The modified code block with API reference links prepended if applicable.
+            str: The modified code block with API reference links appended if applicable.
         """
         indent = match.group("indent")
         code_block = match.group("code")
@@ -276,8 +253,8 @@ def update_markdown_with_imports(markdown: str, path: str) -> str:
         api_links = " | ".join(
             f'<a href="{imp["docs"]}">{imp["imported"]}</a>' for imp in imports
         )
-        # Return the code block with prepended API reference links
+        # Return the code block with appended API reference links
-        return f"{indent}<sup><i>API Reference: {api_links}</i></sup>\n\n{original_code_block}"
+        return f"{original_code_block}\n\n{indent}API Reference: {api_links}"
 
     # Apply the replace_code_block function to all matches in the markdown
     updated_markdown = code_block_pattern.sub(replace_code_block, markdown)

docs/_scripts/generate_llms_text.py

@@ -1,19 +1,10 @@
 """Experimental script to generate consolidated llms text from the docs."""
 
-import asyncio
 import glob
 import os
-from typing import TypedDict, List, Optional
-import pydantic
-import re
-from pydantic import BaseModel, Field
-from langchain_core.rate_limiters import InMemoryRateLimiter
 
-import yaml
-from langchain.chat_models import init_chat_model
 from mkdocs.structure.files import File
 from mkdocs.structure.pages import Page
-from yaml import SafeLoader
 
 from _scripts.notebook_hooks import _on_page_markdown_with_config
 
@@ -22,59 +13,26 @@ HERE = os.path.dirname(os.path.abspath(__file__))
 SOURCE_DIR = os.path.abspath(os.path.join(os.path.dirname(HERE), "docs"))
 
 
-async def convert_ipynb_to_md(file_path: str) -> Optional[str]:
+def _make_llms_text(output_file: str) -> str:
-    """Process a file (markdown or notebook) to markdown format.
-
-    Args:
-        file_path: Path to the file to process
-
-    Returns:
-        Processed markdown content if successful, None otherwise
-    """
-    rel_path = os.path.relpath(file_path, SOURCE_DIR)
-
-    # Create File and Page objects to match mkdocs structure
-    file_obj = File(
-        path=rel_path, src_dir=SOURCE_DIR, dest_dir="", use_directory_urls=True
-    )
-    page = Page(
-        title="",
-        file=file_obj,
-        config={},
-    )
-
-    try:
-        # Read raw content
-        with open(file_path, "r", encoding="utf-8") as f:
-            content = f.read()
-
-        # Convert to markdown without logic to resolve API references
-        processed_content = _on_page_markdown_with_config(
-            content, page, add_api_references=False, remove_base64_images=True
-        )
-        # Remove self-closing img tags <img ... />
-        processed_content = re.sub(r"<img[^>]*/>", "", processed_content)
-        # Remove img tags with content <img ...>...</img>
-        processed_content = re.sub(
-            r"<img[^>]*>.*?</img>", "", processed_content, flags=re.DOTALL
-        )
-        return processed_content
-    except Exception as e:
-        print(f"Error processing file {file_path}: {e}")
-        return None
-
-
-async def generate_full_llms_text(output_file: str) -> None:
     """Generate a consolidated text file from markdown/notebook files for LLM training.
 
     Args:
         output_file: Path to output the consolidated text file
     """
     # Collect all markdown and notebook files
-    all_files = glob.glob(os.path.join(SOURCE_DIR, "how-tos/*.md"), recursive=True)
+    relative_paths = [
+        # Files relative to docs/docs/
+        "tutorials/introduction.ipynb",
+    ]
+    all_files = [os.path.join(SOURCE_DIR, path) for path in relative_paths]
+
+    all_files.extend(
+        glob.glob(os.path.join(SOURCE_DIR, "how-tos/*.md"), recursive=True)
+    )
     all_files.extend(
         glob.glob(os.path.join(SOURCE_DIR, "how-tos/*.ipynb"), recursive=True)
     )
+    # Add all concepts
     all_files.extend(
         glob.glob(os.path.join(SOURCE_DIR, "concepts/*.md"), recursive=True)
     )
@@ -84,14 +42,30 @@ async def generate_full_llms_text(output_file: str) -> None:
 
     all_content = []
 
-    # Process files concurrently
+    # Process each file
-    tasks = [convert_ipynb_to_md(file_path) for file_path in all_files]
+    for file_path in all_files:
-    results = await asyncio.gather(*tasks)
+        print(f"Processing {file_path}")
+        rel_path = os.path.relpath(file_path, SOURCE_DIR)
 
-    # Combine results with file paths
+        # Create File and Page objects to match mkdocs structure
-    for file_path, processed_content in zip(all_files, results):
+        file_obj = File(
+            path=rel_path, src_dir=SOURCE_DIR, dest_dir="", use_directory_urls=True
+        )
+        page = Page(
+            title="",
+            file=file_obj,
+            config={},
+        )
+
+        # Read raw content
+        with open(file_path, "r", encoding="utf-8") as f:
+            content = f.read()
+
+        # Convert to markdown without logic to resolve API references
+        processed_content = _on_page_markdown_with_config(
+            content, page, add_api_references=False, remove_base64_images=True
+        )
         if processed_content:
-            rel_path = os.path.relpath(file_path, SOURCE_DIR)
             # Add file name
             all_content.append(f"---\n{rel_path}\n---")
             # Add content
@@ -102,168 +76,6 @@ async def generate_full_llms_text(output_file: str) -> None:
         f.write("\n\n".join(all_content))
 
 
-def no_op_constructor(*args):
-    """No-op"""
-
-
-SafeLoader.add_multi_constructor(
-    "tag:yaml.org,2002:python/name",
-    no_op_constructor,
-)
-
-
-class NavItem(TypedDict):
-    title: str
-    url: str
-    hierarchy: tuple[str, ...]
-    description: str
-
-
-def _flatten_nav(
-    nav: list[dict[str, str | list] | str], path: tuple[str, ...] = ()
-) -> list[NavItem]:
-    flat: List[NavItem] = []
-    for item in nav:
-        if isinstance(item, dict):
-            for title, node in item.items():
-                new_path = path + (title,)
-                if isinstance(node, str):
-                    # Leaf page
-                    flat.append(
-                        {
-                            "title": title,
-                            "url": node,
-                            "hierarchy": new_path,
-                            "description": "",
-                        }
-                    )
-                elif isinstance(node, list):
-                    # Dive in, carrying along the updated path
-                    flat.extend(_flatten_nav(node, new_path))
-                else:
-                    raise TypeError(
-                        f"Unexpected node type {type(node)} under {title!r}"
-                    )
-        elif isinstance(item, str):
-            # Bare string entry → use itself as title, and as URL
-            new_path = path + (item,)
-            flat.append(
-                {"title": item, "url": item, "hierarchy": new_path, "description": ""}
-            )
-        else:
-            raise TypeError(f"Unexpected item type {type(item)} in nav")
-    return flat
-
-
-class PageInfo(BaseModel):
-    title: str = Field(description="The title of the page")
-    description: str = Field(
-        description="A short description of the page no longer than 3 sentences "
-        "explaining the kind of content that can be found in the page."
-    )
-
-
-async def process_nav_items(nav_items: list[NavItem]) -> list[NavItem]:
-    """Open the contents of each nav item and come up with a better title and description."""
-    rate_limiter = InMemoryRateLimiter(requests_per_second=10)
-    model = init_chat_model("gpt-4o-mini", temperature=0.0, rate_limiter=rate_limiter)
-    model = model.with_structured_output(PageInfo)
-
-    async def process_single_item(item: NavItem) -> NavItem:
-        path = item["url"]
-        file_path = os.path.join(SOURCE_DIR, path)
-
-        # Process the file content (handles both markdown and notebooks)
-        if path.endswith(".ipynb"):
-            content = await convert_ipynb_to_md(file_path)
-        else:
-            with open(file_path, "r", encoding="utf-8") as f:
-                content = f.read()
-
-        if not content:
-            return item
-
-        # Generate a better title and description
-        response = await model.ainvoke(
-            [
-                {
-                    "role": "system",
-                    "content": "You are a technical documentation writer. "
-                    "You are given a markdown page of documentation. "
-                    "Please come up with an appropriate title and "
-                    "description for the page. The description should "
-                    "be a short summary of the page content that is "
-                    "no longer than 3 sentences.",
-                },
-                {
-                    "role": "user",
-                    "content": "The markdown page is as follows:\n\n" + content,
-                },
-            ]
-        )
-        return {
-            "title": response.title,
-            "url": item["url"],
-            "hierarchy": item["hierarchy"],
-            "description": response.description,
-        }
-
-    # Remove any items that start with http:// or https:// looking only for
-    # local file at this stages.
-    nav_items = [
-        item for item in nav_items if not item["url"].startswith(("http://", "https://"))
-    ]
-    # Process items in parallel
-    tasks = [process_single_item(item) for item in nav_items]
-    new_nav_items = await asyncio.gather(*tasks)
-    return new_nav_items
-
-
-async def generate_nav_links_text(
-    output_file: str, *, replace_links: bool = False
-) -> None:
-    """Generate llms.txt from mkdocs.yaml."""
-    # Get path to mkdocs.yaml relative to this script
-    script_dir = os.path.dirname(os.path.abspath(__file__))
-    mkdocs_path = os.path.join(os.path.dirname(script_dir), "mkdocs.yml")
-
-    # Load and parse yaml
-    with open(mkdocs_path, "r") as f:
-        config = yaml.safe_load(f)
-
-    # Extract nav section
-    nav = config.get("nav", [])
-    flattened = _flatten_nav(nav)
-
-    processed_nav = await process_nav_items(flattened)
-
-    with open(output_file, "w") as f:
-        current_section = None
-        for item in processed_nav:
-            # Get the top-level section (first item in hierarchy)
-            section = item["hierarchy"][0]
-
-            if section not in {"Guides", "Examples", "Resources"}:
-                continue
-
-            # If we're starting a new section, add a heading
-            if section != current_section:
-                f.write(f"\n# {section}\n\n")
-                current_section = section
-
-            title = item["title"]
-            # Process URL based on replace_links flag
-            url = item["url"]
-            if replace_links:
-                # Remove .md extension and ensure single trailing slash
-                url = url.removesuffix(".md")
-                url = url.removesuffix(".ipynb")
-                url = url.rstrip("/") + "/"
-                url = f"https://langchain-ai.github.io/langgraph/{url}"
-
-            f.write(f"- [{title}]({url}): {item['description']}\n")
-
-
 if __name__ == "__main__":
     import argparse
 
@@ -273,23 +85,6 @@ if __name__ == "__main__":
         )
     )
     parser.add_argument("output_file", help="Path to output the consolidated text file")
-    parser.add_argument(
-        "--link-only",
-        action="store_true",
-        help="Only include link references in the output",
-    )
-    parser.add_argument(
-        "--replace-links",
-        action="store_true",
-        help="Replace markdown links with full URLs in the output",
-    )
 
     args = parser.parse_args()
-    if args.link_only:
+    _make_llms_text(args.output_file)
-        coro = generate_nav_links_text(
-            args.output_file, replace_links=args.replace_links
-        )
-    else:
-        coro = generate_full_llms_text(args.output_file)
-
-    asyncio.run(coro)

docs/_scripts/notebook_convert.py

@@ -1,6 +1,7 @@
 import ast
 import os
 import re
+from pathlib import Path
 from typing import Literal
 
 import nbformat
@@ -25,7 +26,7 @@ def _uses_input(source: str) -> bool:
 
 
 def _rewrite_cell_magic(code: str) -> str:
-    """Process a code block that uses cell magic.
+    """Process a code block that uses cell magic.:w
 
     - Lines starting with "%%capture" are ignored.
     - Lines starting with "%pip" are rewritten by removing the leading "%" character.
@@ -51,14 +52,10 @@ def _rewrite_cell_magic(code: str) -> str:
         if stripped.startswith("%%capture"):
             continue
         # Rewrite %pip lines by dropping the '%'
-        elif stripped.startswith("%") or stripped.startswith("!"):
+        elif stripped.startswith("%pip"):
-            # Drop the leading '%' character and then drop all leading whitespace
+            # Drop the leading '%' character
-            stripped = stripped.lstrip("%! \t")
+            rewritten_lines.append(stripped[1:])
-            # Check if the line starts with "pip"
+        # Anything else is not supported
-            if stripped.startswith("pip"):
-                rewritten_lines.append(stripped)
-            else:
-                raise NotImplementedError(f"Unhandled line: {line}")
         else:
             raise NotImplementedError(f"Unhandled line: {line}")
 
@@ -220,24 +217,6 @@ def _convert_links_in_markdown(markdown: str) -> str:
     )
 
 
-class HideCellTagPreprocessor(Preprocessor):
-    """
-    Removes cells that have '# hide-cell' at the beginning of the cell content.
-    This allows authors to include cells in the notebook that should not
-    appear in the generated markdown output.
-    """
-
-    def preprocess(self, nb, resources):
-        # Filter out cells with the '# hide-cell' comment at the beginning
-        nb.cells = [
-            cell
-            for cell in nb.cells
-            if not (cell.source.strip().startswith("# hide-cell"))
-        ]
-
-        return nb, resources
-
-
 class EscapePreprocessor(Preprocessor):
     def __init__(self, markdown_exec_migration: bool = False, **kwargs) -> None:
         super().__init__(**kwargs)
@@ -268,10 +247,13 @@ class EscapePreprocessor(Preprocessor):
             )
             cell.metadata["exec"] = is_exec
 
-            # For markdown exec migration we'll re-write cell magic as bash commands
+            if self.markdown_exec_migration:
-            if source.startswith("%%"):
+                # For markdown exec migration we'll re-write cell magic as bash commands
-                cell.source = _rewrite_cell_magic(source)
+                if source.startswith("%%"):
-                cell.metadata["language"] = "shell"
+                    cell.source = _rewrite_cell_magic(source)
+                    cell.metadata["language"] = "shell"
+
+                cell.metadata["has_output"] = _has_output(source)
 
             # Remove noqa comments
             cell.source = re.sub(r"#\s*noqa.*$", "", cell.source, flags=re.MULTILINE)
@@ -359,7 +341,6 @@ class ExtractAttachmentsPreprocessor(Preprocessor):
 
 exporter = MarkdownExporter(
     preprocessors=[
-        HideCellTagPreprocessor,
         EscapePreprocessor,
         ExtractAttachmentsPreprocessor,
     ],
@@ -371,7 +352,7 @@ exporter = MarkdownExporter(
 
 
 def convert_notebook(
-    notebook_path: str,
+    notebook_path: Path,
     mode: Literal["markdown", "exec"] = "markdown",
 ) -> str:
     with open(notebook_path) as f:

docs/_scripts/notebook_convert_templates/mdoutput/index.md.j2

@@ -1,18 +1,5 @@
 {% extends 'markdown/index.md.j2' %}
 
-{% block input %}{# cell.metadata.language is an addition of our docs pipeline. #}
-```{%- if 'language' in cell.metadata -%}
-{{ cell.metadata.language }}
-{%- elif 'magics_language' in cell.metadata -%}
-{{ cell.metadata.magics_language }}
-{%- elif 'name' in nb.metadata.get('language_info', {}) -%}
-{{ nb.metadata.language_info.name }}
-{%- endif %}
-{{ cell.source }}
-```
-{% endblock input %}
-
-
 {%- block traceback_line -%}
 ```output
 {{ line.rstrip() | strip_ansi }}
@@ -21,13 +8,13 @@
 
 {%- block stream -%}
 ```output
-{{ output.text.rstrip() | strip_ansi }}
+{{ output.text.rstrip() }}
 ```
 {%- endblock stream -%}
 
 {%- block data_text scoped -%}
 ```output
-{{ output.data['text/plain'].rstrip() | strip_ansi }}
+{{ output.data['text/plain'].rstrip() }}
 ```
 {%- endblock data_text -%}
 
@@ -38,13 +25,9 @@
 {%- endblock data_html -%}
 
 {%- block data_jpg scoped -%}
-<p>
+![](data:image/jpg;base64,{{ output.data['image/jpeg'] }})
-<img src="data:image/jpg;base64,{{ output.data['image/jpeg'] }}" />
-</p>
 {%- endblock data_jpg -%}
 
 {%- block data_png scoped -%}
-<p>
+![](data:image/png;base64,{{ output.data['image/png'] }})
-<img src="data:image/png;base64,{{ output.data['image/png'] }}" />
-</p>
 {%- endblock data_png -%}

docs/_scripts/notebook_hooks.py

@@ -1,16 +1,9 @@
-"""mkdocs hooks for adding custom logic to documentation pipeline.
-
-Lifecycle events: https://www.mkdocs.org/dev-guide/plugins/#events
-"""
-
 import logging
 import os
 import posixpath
 import re
 from typing import Any, Dict
 
-from bs4 import BeautifulSoup
-from mkdocs.config.defaults import MkDocsConfig
 from mkdocs.structure.files import Files, File
 from mkdocs.structure.pages import Page
 
@@ -25,90 +18,19 @@ DISABLED = os.getenv("DISABLE_NOTEBOOK_CONVERT") in ("1", "true", "True")
 
 REDIRECT_MAP = {
     # lib redirects
-    "how-tos/stream-values.ipynb": "how-tos/streaming.md#stream-graph-state",
+    "how-tos/stream-values.ipynb": "how-tos/streaming.ipynb#values",
-    "how-tos/stream-updates.ipynb": "how-tos/streaming.md#stream-graph-state",
+    "how-tos/stream-updates.ipynb": "how-tos/streaming.ipynb#updates",
-    "how-tos/streaming-content.ipynb": "how-tos/streaming.md",
+    "how-tos/streaming-content.ipynb": "how-tos/streaming.ipynb#custom",
-    "how-tos/stream-multiple.ipynb": "how-tos/streaming.md#stream-multiple-nodes",
+    "how-tos/stream-multiple.ipynb": "how-tos/streaming.ipynb#multiple",
-    "how-tos/streaming-tokens-without-langchain.ipynb": "how-tos/streaming.md#use-with-any-llm",
+    "how-tos/streaming-tokens-without-langchain.ipynb": "how-tos/streaming-tokens.ipynb#example-without-langchain",
     "how-tos/streaming-from-final-node.ipynb": "how-tos/streaming-specific-nodes.ipynb",
     "how-tos/streaming-events-from-within-tools-without-langchain.ipynb": "how-tos/streaming-events-from-within-tools.ipynb#example-without-langchain",
-    # graph-api
-    "how-tos/state-reducers.ipynb": "how-tos/graph-api#define-and-update-state",
-    "how-tos/sequence.ipynb": "how-tos/graph-api#create-a-sequence-of-steps",
-    "how-tos/branching.ipynb": "how-tos/graph-api#create-branches",
-    "how-tos/recursion-limit.ipynb": "how-tos/graph-api#create-and-control-loops",
-    "how-tos/visualization.ipynb": "how-tos/graph-api#visualize-your-graph",
-    "how-tos/input_output_schema.ipynb": "how-tos/graph-api#define-input-and-output-schemas",
-    "how-tos/pass_private_state.ipynb": "how-tos/graph-api#pass-private-state-between-nodes",
-    "how-tos/state-model.ipynb": "how-tos/graph-api#use-pydantic-models-for-graph-state",
-    "how-tos/map-reduce.ipynb": "how-tos/graph-api/#map-reduce-and-the-send-api",
-    "how-tos/command.ipynb": "how-tos/graph-api/#combine-control-flow-and-state-updates-with-command",
-    "how-tos/configuration.ipynb": "how-tos/graph-api/#add-runtime-configuration",
-    "how-tos/node-retries.ipynb": "how-tos/graph-api/#add-retry-policies",
-    "how-tos/return-when-recursion-limit-hits.ipynb": "how-tos/graph-api/#impose-a-recursion-limit",
-    "how-tos/async.ipynb": "how-tos/graph-api/#async",
-    # memory how-tos
-    "how-tos/memory/manage-conversation-history.ipynb": "how-tos/memory.ipynb",
-    "how-tos/memory/delete-messages.ipynb": "how-tos/memory.ipynb#delete-messages",
-    "how-tos/memory/add-summary-conversation-history.ipynb": "how-tos/memory.ipynb#summarize-messages",
-    # subgraph how-tos
-    "how-tos/subgraph-transform-state.ipynb": "how-tos/subgraph.ipynb#different-state-schemas",
-    "how-tos/subgraphs-manage-state.ipynb": "how-tos/subgraph.ipynb#add-persistence",
-    # persistence how-tos
-    "how-tos/persistence_postgres.ipynb": "how-tos/persistence.ipynb#use-in-production",
-    "how-tos/persistence_mongodb.ipynb": "how-tos/persistence.ipynb#use-in-production",
-    "how-tos/persistence_redis.ipynb": "how-tos/persistence.ipynb#use-in-production",
-    "how-tos/subgraph-persistence.ipynb": "how-tos/persistence.ipynb#use-with-subgraphs",
-    "how-tos/cross-thread-persistence.ipynb": "how-tos/persistence.ipynb#add-long-term-memory",
-    "cloud/how-tos/copy_threads": "cloud/how-tos/use_threads",
-    # tool calling how-tos
-    "how-tos/tool-calling-errors.ipynb": "how-tos/tool-calling.ipynb#handle-errors",
-    "how-tos/pass-config-to-tools.ipynb": "how-tos/tool-calling.ipynb#access-config",
-    "how-tos/pass-run-time-values-to-tools.ipynb": "how-tos/tool-calling.ipynb#read-state",
-    "how-tos/update-state-from-tools.ipynb": "how-tos/tool-calling.ipynb#update-state",
-    # multi-agent how-tos
-    "how-tos/agent-handoffs.ipynb": "how-tos/multi_agent.ipynb#handoffs",
-    "how-tos/multi-agent-network.ipynb": "how-tos/multi_agent.ipynb#use-in-a-multi-agent-system",
-    "how-tos/multi-agent-multi-turn-convo.ipynb": "how-tos/multi_agent.ipynb#multi-turn-conversation",
     # cloud redirects
-    "cloud/index.md": "index.md",
+    "cloud/index.md": "concepts/index.md#langgraph-platform",
-    "cloud/how-tos/index.md": "concepts/langgraph_platform",
+    "cloud/how-tos/index.md": "how-tos/index.md#langgraph-platform",
     "cloud/concepts/api.md": "concepts/langgraph_server.md",
     "cloud/concepts/cloud.md": "concepts/langgraph_cloud.md",
     "cloud/faq/studio.md": "concepts/langgraph_studio.md#studio-faqs",
-    "cloud/how-tos/human_in_the_loop_edit_state.md": "cloud/how-tos/add-human-in-the-loop.md",
-    "cloud/how-tos/human_in_the_loop_user_input.md": "cloud/how-tos/add-human-in-the-loop.md",
-    "concepts/platform_architecture.md": "concepts/langgraph_cloud#architecture",
-    # cloud streaming redirects
-    "cloud/how-tos/stream_values.md": "cloud/how-tos/streaming.md#stream-graph-state",
-    "cloud/how-tos/stream_updates.md": "cloud/how-tos/streaming.md#stream-graph-state",
-    "cloud/how-tos/stream_messages.md": "cloud/how-tos/streaming.md#messages",
-    "cloud/how-tos/stream_events.md": "cloud/how-tos/streaming.md#stream-events",
-    "cloud/how-tos/stream_debug.md": "cloud/how-tos/streaming.md#debug",
-    "cloud/how-tos/stream_multiple.md": "cloud/how-tos/streaming.md#stream-multiple-modes",
-    # prebuit redirects
-    "how-tos/create-react-agent.ipynb": "agents/agents.md#basic-configuration",
-    "how-tos/create-react-agent-memory.ipynb": "agents/memory.md",
-    "how-tos/create-react-agent-system-prompt.ipynb": "agents/context.md#prompts",
-    "how-tos/create-react-agent-hitl.ipynb": "agents/human-in-the-loop.md",
-    "how-tos/create-react-agent-structured-output.ipynb": "agents/agents.md#structured-output",
-    # Time-travel
-    "how-tos/human_in_the_loop/edit-graph-state.ipynb": "how-tos/human_in_the_loop/time-travel.ipynb",
-    # breakpoints
-    "how-tos/human_in_the_loop/dynamic_breakpoints.ipynb": "how-tos/human_in_the_loop/breakpoints.ipynb",
-    # misc
-    "prebuilt.md": "agents/prebuilt.md",
-    "reference/prebuilt.md": "reference/agents.md",
-    "concepts/high_level.md": "index.md",
-    "concepts/index.md": "index.md",
-    "concepts/v0-human-in-the-loop.md": "concepts/human-in-the-loop.md",
-    "how-tos/index.md": "index.md",
-    "tutorials/introduction.ipynb": "concepts/why-langgraph.md",
-    # deployment redirects
-    "how-tos/deploy-self-hosted.md": "cloud/deployment/self_hosted_data_plane.md",
-    "concepts/self_hosted.md": "concepts/langgraph_self_hosted_data_plane.md",
-    # assistant redirects
-    "cloud/how-tos/assistant_versioning.md": "cloud/how-tos/configuration_cloud.md",
 }
 
 
@@ -298,7 +220,7 @@ Redirecting...
 """
 
 
-def _write_html(site_dir, old_path, new_path):
+def write_html(site_dir, old_path, new_path):
     """Write an HTML file in the site_dir with a meta redirect to the new page"""
     # Determine all relevant paths
     old_path_abs = os.path.join(site_dir, old_path)
@@ -314,52 +236,6 @@ def _write_html(site_dir, old_path, new_path):
         f.write(content)
 
 
-def _inject_gtm(html: str) -> str:
-    """Inject Google Tag Manager code into the HTML.
-
-    Code to inject Google Tag Manager noscript tag immediately after <body>.
-
-    This is done via hooks rather than via a template because the MkDocs material
-    theme does not seem to allow placing the code immediately after the <body> tag
-    without modifying the template files directly.
-
-    Args:
-        html: The HTML content to modify.
-
-    Returns:
-        The modified HTML content with GTM code injected.
-    """
-    # Code was copied from Google Tag Manager setup instructions.
-    gtm_code = """
-<!-- Google Tag Manager (noscript) -->
-<noscript><iframe src="https://www.googletagmanager.com/ns.html?id=GTM-T35S4S46"
-height="0" width="0" style="display:none;visibility:hidden"></iframe></noscript>
-<!-- End Google Tag Manager (noscript) -->
-"""
-    soup = BeautifulSoup(html, "html.parser")
-    body = soup.body
-    if body:
-        # Insert the GTM code as raw HTML at the top of <body>
-        body.insert(0, BeautifulSoup(gtm_code, "html.parser"))
-        return str(soup)
-    else:
-        return html  # fallback if no <body> found
-
-
-def on_post_page(output: str, page: Page, config: MkDocsConfig) -> str:
-    """Inject Google Tag Manager noscript tag immediately after <body>.
-
-    Args:
-        output: The HTML output of the page.
-        page: The page instance.
-        config: The MkDocs configuration object.
-
-    Returns:
-        modified HTML output with GTM code injected.
-    """
-    return _inject_gtm(output)
-
-
 # Create HTML files for redirects after site dir has been built
 def on_post_build(config):
     use_directory_urls = config.get("use_directory_urls")
@@ -376,4 +252,4 @@ def on_post_build(config):
             + hash
             + suffix
         )
-        _write_html(config["site_dir"], old_html_path, new_html_path)
+        write_html(config["site_dir"], old_html_path, new_html_path)

docs/_scripts/prepare_notebooks_for_ci.py

@@ -5,7 +5,6 @@ import os
 import json
 import click
 import nbformat
-import re
 
 logger = logging.getLogger(__name__)
 NOTEBOOK_DIRS = ("docs/how-tos","docs/tutorials")
@@ -21,6 +20,7 @@ BLOCKLIST_COMMANDS = (
 
 NOTEBOOKS_NO_CASSETTES = (
     "docs/how-tos/visualization.ipynb",
+    "docs/how-tos/many-tools.ipynb"
 )
 
 NOTEBOOKS_NO_EXECUTION = [
@@ -49,10 +49,7 @@ NOTEBOOKS_NO_EXECUTION = [
     "docs/how-tos/map-reduce.ipynb",  # flakiness from structured output, only when running with VCR
     "docs/tutorials/tot/tot.ipynb",
     "docs/how-tos/visualization.ipynb",
-    "docs/how-tos/streaming-specific-nodes.ipynb",
+    "docs/tutorials/llm-compiler/LLMCompiler.ipynb"
-    "docs/tutorials/llm-compiler/LLMCompiler.ipynb",
-    "docs/tutorials/customer-support/customer-support.ipynb",  # relies on openai embeddings, doesn't play well w/ VCR
-    "docs/how-tos/many-tools.ipynb",  # relies on openai embeddings, doesn't play well w/ VCR
 ]
 
 
@@ -89,11 +86,6 @@ def has_blocklisted_command(code: str, metadata: dict) -> bool:
             return True
     return False
 
-MERMAID_PATTERN = re.compile(r'display\(Image\((\w+)\.get_graph\(\)\.draw_mermaid_png\(\)\)\)')
-
-def remove_mermaid(code: str) -> str:
-    return MERMAID_PATTERN.sub('print()', code)
-
 
 def add_vcr_to_notebook(
     notebook: nbformat.NotebookNode, cassette_prefix: str
@@ -107,8 +99,6 @@ def add_vcr_to_notebook(
             continue
 
         lines = cell.source.splitlines()
-        # remove the special tag for hidden cells
-        lines = [line for line in lines if not line.strip().startswith("# hide-cell")]
         # skip if empty cell
         if not lines:
             continue
@@ -190,20 +180,6 @@ def add_vcr_to_notebook(
     return notebook
 
 
-def remove_mermaid_from_notebook(notebook: nbformat.NotebookNode) -> nbformat.NotebookNode:
-    for cell in notebook.cells:
-        if cell.cell_type != "code":
-            continue
-
-        cell.source = remove_mermaid(cell.source)
-
-        # skip the cell entirely if it contains PYPPETEER
-        if "PYPPETEER" in cell.source:
-            cell.source = ""
-
-    return notebook
-
-
 def process_notebooks(should_comment_install_cells: bool) -> None:
     for directory in NOTEBOOK_DIRS:
         for root, _, files in os.walk(directory):
@@ -225,8 +201,6 @@ def process_notebooks(should_comment_install_cells: bool) -> None:
                             notebook, cassette_prefix=cassette_prefix
                         )
 
-                    notebook = remove_mermaid_from_notebook(notebook)
-
                     if notebook_path in NOTEBOOKS_NO_EXECUTION:
                         # Add a cell at the beginning to indicate that this notebook should not be executed
                         warning_cell = nbformat.v4.new_markdown_cell(

docs/_scripts/third_party_page/create_third_party_page.py

@@ -9,7 +9,10 @@ import yaml
 
 MARKDOWN = """\
 [//]: # (This file is automatically generated using a script in docs/_scripts. Do not edit this file directly!)
-# Community Agents
+# 🚀 Prebuilt Agents
+
+LangGraph includes a prebuilt React agent. For more information on how to use it, 
+check out our [how-to guides](https://langchain-ai.github.io/langgraph/how-tos/#prebuilt-react-agent).
 
 If you’re looking for other prebuilt libraries, explore the community-built options 
 below. These libraries can extend LangGraph's functionality in various ways.

docs/_scripts/third_party_page/packages.yml

@@ -36,6 +36,3 @@ packages:
   - name: "langgraph-reflection"
     repo: "langchain-ai/langgraph-reflection"
     description: "LangGraph agent that runs a reflection step."
-  - name: "langgraph-codeact"
-    repo: "langchain-ai/langgraph-codeact"
-    description: "LangGraph implementation of CodeAct agent that generates and executes code instead of tool calling."

docs/cassettes/add-summary-conversation-history_048805a4-3d97-4e76-ac45-8d80d4364c46.msgpack.zlib

@@ -0,0 +1 @@
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

docs/cassettes/add-summary-conversation-history_40e5db8e-9db9-4ac7-9d76-a99fd4034bf3.msgpack.zlib

@@ -0,0 +1 @@
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docs/cassettes/agent_supervisor_f803943c-6dd2-4b42-93ba-0210ec276132.msgpack.zlib

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docs/cassettes/create-react-agent-hitl_740bbaeb.msgpack.zlib

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docs/cassettes/create-react-agent-hitl_83148e08-63e8-49e5-a08b-02dc907bed1d.msgpack.zlib

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docs/cassettes/create-react-agent-hitl_9ffff6c3-a4f5-47c9-b51d-97caaee85cd6.msgpack.zlib

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docs/cassettes/create-react-agent-manage-message-history_26c53429-90ba-4d0b-abb9-423d9120ad26.msgpack.zlib

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docs/cassettes/create-react-agent-memory_187479f9-32fa-4611-9487-cf816ba2e147.msgpack.zlib

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docs/cassettes/create-react-agent-memory_9ffff6c3-a4f5-47c9-b51d-97caaee85cd6.msgpack.zlib

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docs/cassettes/create-react-agent-structured-output_9ffff6c3-a4f5-47c9-b51d-97caaee85cd6.msgpack.zlib

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docs/cassettes/create-react-agent-structured-output_d1386f99-ffd1-4b36-86ec-cabb3357d929.msgpack.zlib

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docs/cassettes/create-react-agent_187479f9-32fa-4611-9487-cf816ba2e147.msgpack.zlib

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docs/cassettes/introduction_6a385b06-8d34-4a2d-aded-1cf4bb0ca590.msgpack.zlib

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docs/cassettes/introduction_7df33d9e-cc76-4a0f-8307-01e619483b3e.msgpack.zlib

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docs/cassettes/introduction_9f318020-ab7e-415b-a5e2-eddec6d9f3a6.msgpack.zlib

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docs/cassettes/introduction_a7cc7306-7a4e-466f-8d41-b1a3d07be8bc.msgpack.zlib

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docs/cassettes/introduction_dba1b168-f8e0-496d-9bd6-37198fb4776e.msgpack.zlib

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docs/cassettes/introduction_df6d81bb-e674-44ef-a46e-17b1a8d2381a.msgpack.zlib

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docs/cassettes/introduction_f5447778-53d7-47f3-801b-f47bcf2185a0.msgpack.zlib

@@ -1 +1 @@
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docs/cassettes/multi-agent-network_26a0d4df-ff99-40f0-92a8-0b3f2c591040.msgpack.zlib

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docs/cassettes/multi-agent-network_68a547d4-0a15-43bd-aeed-c9ba1dfe388f.msgpack.zlib

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docs/cassettes/pass-config-to-tools_14.msgpack.zlib

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docs/cassettes/pass-config-to-tools_15.msgpack.zlib

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docs/cassettes/pass-config-to-tools_16.msgpack.zlib

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docs/cassettes/pass-run-time-values-to-tools_2e3fd1e2-cc19-4023-8ffa-b0fc13da9e09.msgpack.zlib

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docs/cassettes/persistence-functional_273d56a8-f40f-4a51-a27f-7c6bb2bda0ba.msgpack.zlib

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