comments

.github/CONTRIBUTING.md

@@ -0,0 +1,6 @@
+# Contributing to LangGraph
+
+Hi there! Thank you for even being interested in contributing to LangGraph.
+As an open-source project in a rapidly developing field, we are extremely open to contributions, whether they involve new features, improved infrastructure, better documentation, or bug fixes.
+
+To learn how to contribute to LangGraph, please follow the [contribution guide here](https://docs.langchain.com/oss/python/contributing).

.github/ISSUE_TEMPLATE/bug-report.yml

@@ -1,72 +1,43 @@
 name: "\U0001F41B Bug Report"
-description: Report a bug in LangGraph. To report a security issue, please instead use the security option (below). For questions, please use the LangChain forum (below).
-labels: ["bug"]
-type: bug
+description: Report a bug in LangGraph. To report a security issue, please instead use the security option below. For questions, please use the LangChain Forum at forum.langchain.com.
+labels: [pending, bug]
 body:
   - type: markdown
     attributes:
       value: |
-        Thank you for taking the time to file a bug report.
+        Thank you for taking the time to file a bug report. 
 
-        > **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
+        Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
 
-        For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
+        Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
+        if there's another way to solve your problem:
 
-        Check these before submitting to see if your issue has already been reported, fixed or if there's another way to solve your problem:
-
-        * [Documentation](https://docs.langchain.com/oss/python/langgraph/overview),
-        * [API Reference Documentation](https://reference.langchain.com/python/),
-        * [LangChain ChatBot](https://chat.langchain.com/)
-        * [GitHub search](https://github.com/langchain-ai/langgraph),
         * [LangChain Forum](https://forum.langchain.com/),
+        * [LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
+        * [LangChain documentation with the integrated search](https://docs.langchain.com/),
+        * [GitHub search](https://github.com/langchain-ai/langgraph),
   - type: checkboxes
     id: checks
     attributes:
       label: Checked other resources
-      description: Please confirm and check all the following options.
+      description: Before submitting this issue, please confirm that you have completed all the steps below by checking each option. These steps help ensure your issue is well-defined, relevant, and actionable.
       options:
-        - label: This is a bug, not a usage question.
+        - label: This is a bug, not a usage question. For questions, please use the LangChain Forum (https://forum.langchain.com/).
           required: true
-        - label: I added a clear and descriptive title that summarizes this issue.
+        - label: I added a clear and detailed title that summarizes the issue.
           required: true
-        - label: I used the GitHub search to find a similar question and didn't find it.
+        - label: I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example).
           required: true
-        - label: I am sure that this is a bug in LangGraph rather than my code.
+        - label: I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue.
           required: true
-        - label: The bug is not resolved by updating to the latest stable version of LangGraph (or the specific integration package).
-          required: true
-        - label: This is not related to the langchain-community package.
-          required: true
-        - label: I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.
-          required: true
-  - type: textarea
-    id: related
-    validations:
-      required: false
-    attributes:
-      label: Related Issues / PRs
-      description: |
-        If this bug is related to any existing issues or pull requests, please link them here.
-      placeholder: |
-        * e.g. #123, #456
   - type: textarea
     id: reproduction
     validations:
       required: true
     attributes:
-      label: Reproduction Steps / Example Code (Python)
+      label: Example Code
       description: |
-        Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
-
-        If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
-
-        **Important!**
-
-        * Avoid screenshots, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
-        * Reduce your code to the minimum required to reproduce the issue if possible.
-
-        (This will be automatically formatted into code, so no need for backticks.)
-      render: python
+        Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case. Replace this code with your own!
       placeholder: |
         from langgraph.graph import StateGraph
 
@@ -75,13 +46,17 @@ body:
           
         chain = StateGraph(list)
         chain.invoke('Hello!')
+      render: python
   - type: textarea
+    id: error
+    validations:
+      required: false
     attributes:
       label: Error Message and Stack Trace (if applicable)
       description: |
-        If you are reporting an error, please copy and paste the full error message and
-        stack trace.
-        (This will be automatically formatted into code, so no need for backticks.)
+        If you are reporting an error, please include the full error message and stack trace.
+      placeholder: |
+        Exception + full stack trace
       render: shell
   - type: textarea
     id: description
@@ -102,18 +77,7 @@ body:
     attributes:
       label: System Info
       description: |
-        Please share your system info with us.
-
-        Run the following command in your terminal and paste the output here:
-
-        `python -m langchain_core.sys_info`
-
-        or if you have an existing python interpreter running:
-
-        ```python
-        from langchain_core import sys_info
-        sys_info.print_sys_info()
-        ```
+        Run on your machine: `python -m langchain_core.sys_info`
       placeholder: |
         python -m langchain_core.sys_info
     validations:

.github/ISSUE_TEMPLATE/config.yml

@@ -1,15 +1,9 @@
 blank_issues_enabled: false
 version: 2.1
 contact_links:
-  - name: 💬 LangChain Forum
-    url: https://forum.langchain.com/
-    about: General community discussions and support
-  - name: 📚 LangGraph Documentation
-    url: https://docs.langchain.com/oss/python/langgraph/overview
-    about: View the official LangGraph documentation
-  - name: 📚 API Reference Documentation
-    url: https://reference.langchain.com/python/langgraph/
-    about: View the official LangGraph API reference documentation
-  - name: 📚 Documentation issue
-    url: https://github.com/langchain-ai/docs/issues/new?template=02-langgraph.yml
+  - name: Documentation
+    url: https://github.com/langchain-ai/docs/issues/new?template=langgraph.yml
     about: Report an issue related to the LangGraph documentation
+  - name: LangChain Forum
+    url:  https://forum.langchain.com/
+    about: General community discussions and support

.github/ISSUE_TEMPLATE/privileged.yml

@@ -1,21 +1,22 @@
-name: "\U0001F512 Privileged"
-description: You are a LangGraph maintainer. If not, check the other options.
+name: 🔒 Privileged
+description: You are a LangGraph maintainer, or was asked directly by a maintainer to create an issue here. If not, check the other options.
 body:
   - type: markdown
     attributes:
       value: |
-        > **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
+        Thanks for your interest in LangGraph! 🚀
 
-        If you are not a LangGraph maintainer, employee, or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
+        If you are not a LangGraph maintainer or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
 
-        **Note:** Do not begin work on a PR unless explicitly assigned to this issue by a maintainer.
+        You are a LangGraph maintainer if you maintain any of the packages inside of the LangGraph repository 
+        or are a regular contributor to LangGraph with previous merged merged pull requests.
   - type: checkboxes
     id: privileged
     attributes:
       label: Privileged issue
       description: Confirm that you are allowed to create an issue here.
       options:
-        - label: I am a LangGraph maintainer.
+        - label: I am a LangGraph maintainer, or was asked directly by a LangGraph maintainer to create an issue here.
           required: true
   - type: textarea
     id: content
@@ -25,4 +26,4 @@ body:
   - type: markdown
     attributes:
       value: |
-        Please do not begin work on a PR unless explicitly assigned to this issue by a maintainer.
+        Community members should **NOT** work on Privileged issues unless these issues have been explicitly marked with a "help-wanted" tag.

.github/PULL_REQUEST_TEMPLATE.md

@@ -1,40 +1,31 @@
-Fixes #
+Thank you for contributing to LangGraph! Follow these steps to mark your pull request as ready for review. **If any of these steps are not completed, your PR will not be considered for review.**
 
-<!-- Replace everything above this line with a 1-2 sentence description of your change. Keep the "Fixes #xx" keyword and update the issue number. -->
+- [ ] **PR title**: Follows the format: {TYPE}({SCOPE}): {DESCRIPTION}
+  - Examples:
+    - feat(core): add multi-tenant support
+    - fix(cli): resolve flag parsing error
+    - docs(openai): update API usage examples
+  - Allowed `{TYPE}` values:
+    - feat, fix, docs, style, refactor, perf, test, build, ci, chore, revert, release
+  - Allowed `{SCOPE}` values (optional):
+    - langgraph, docs, cli, checkpoint, checkpoint-postgres, checkpoint-sqlite, prebuilt, scheduler-kafka, sdk-py
+  - Once you've written the title, please delete this checklist item; do not include it in the PR.
 
-Read the full contributing guidelines: https://docs.langchain.com/oss/python/contributing/overview
+- [ ] **PR message**: ***Delete this entire checklist*** and replace with
+  - **Description:** a description of the change. Include a [closing keyword](https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) if applicable.
+  - **Issue:** the issue # it fixes, if applicable
+  - **Dependencies:** any dependencies required for this change
+  - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out!
 
-> **All contributions must be in English.** See the [language policy](https://docs.langchain.com/oss/python/contributing/overview#language-policy).
+- [ ] **Add tests and docs**: If you're adding a new integration, you must include:
+  1. A test for the integration, preferably unit tests that do not rely on network access,
+  2. An example notebook showing its use. It lives in `docs/docs/integrations` directory.
 
-If you paste a large clearly AI generated description here your PR may be IGNORED or CLOSED!
-
-Thank you for contributing to LangGraph! Follow these steps to have your pull request considered as ready for review.
-
-1. PR title: Should follow the format: TYPE(SCOPE): DESCRIPTION
-
-    - feat(langgraph): add multi-tenant support
-  - Allowed TYPE and SCOPE values: https://github.com/langchain-ai/langgraph/blob/main/.github/workflows/pr_lint.yml#L19-L43
-
-2. PR description:
-
-  - Write 1-2 sentences summarizing the change.
-  - The `Fixes #xx` line at the top is **required** for external contributions — update the issue number and keep the keyword. This links your PR to the approved issue and auto-closes it on merge.
-  - If there are any breaking changes, please clearly describe them.
-  - If this PR depends on another PR being merged first, please include "Depends on #PR_NUMBER" in the description.
-
-3. Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified.
-
-  - We will not consider a PR unless these three are passing in CI.
-
-4. How did you verify your code works?
+- [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. We will not consider a PR unless these three are passing in CI. See [contribution guidelines](https://github.com/langchain-ai/langgraph/blob/main/CONTRIBUTING.md) for more.
 
 Additional guidelines:
 
-  - All external PRs must link to an issue or discussion where a solution has been approved by a maintainer, and you must be assigned to that issue. PRs without prior approval will be closed.
-  - PRs should not touch more than one package unless absolutely necessary.
-  - Do not update the `uv.lock` files or add dependencies to `pyproject.toml` files (even optional ones) unless you have explicit permission to do so by a maintainer.
-
-## Social handles (optional)
-<!-- If you'd like a shoutout on release, add your socials below -->
-Twitter: @
-LinkedIn: https://linkedin.com/in/
+- Make sure optional dependencies are imported within a function.
+- Please do not add dependencies to `pyproject.toml` files (even optional ones) unless they are **required** for unit tests.
+- Most PRs should not touch more than one package.
+- Changes should be backwards compatible.

.github/actions/uv_setup/action.yml

@@ -1,35 +0,0 @@
-# Helper to set up Python and uv with caching
-
-name: uv-install
-description: Set up Python and uv with caching
-
-inputs:
-  python-version:
-    description: Python version, supporting MAJOR.MINOR only
-    required: true
-  enable-cache:
-    description: Enable caching for uv dependencies
-    required: false
-    default: "true"
-  cache-suffix:
-    description: Custom cache key suffix for cache invalidation
-    required: false
-    default: ""
-  working-directory:
-    description: Working directory for cache glob scoping
-    required: false
-    default: "**"
-
-runs:
-  using: composite
-  steps:
-    - name: Install uv and set the python version
-      uses: astral-sh/setup-uv@v7
-      with:
-        python-version: ${{ inputs.python-version }}
-        enable-cache: ${{ inputs.enable-cache }}
-        cache-dependency-glob: |
-          ${{ inputs.working-directory }}/pyproject.toml
-          ${{ inputs.working-directory }}/uv.lock
-          ${{ inputs.working-directory }}/requirements*.txt
-        cache-suffix: ${{ inputs.cache-suffix }}

.github/dependabot.yml

@@ -3,186 +3,16 @@ updates:
   - package-ecosystem: "github-actions"
     directory: "/"
     schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
+      interval: "weekly"
 
-  - package-ecosystem: "uv"
-    directory: "/libs/checkpoint"
+  - package-ecosystem: "pip"
+    directories:
+      - "libs/checkpoint"
+      - "libs/checkpoint-postgres"
+      - "libs/checkpoint-sqlite"
+      - "libs/cli"
+      - "libs/langgraph"
+      - "libs/prebuilt"
+      - "libs/sdk-py"
     schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "uv"
-    directory: "/libs/checkpoint-conformance"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "uv"
-    directory: "/libs/checkpoint-postgres"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "uv"
-    directory: "/libs/checkpoint-sqlite"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "uv"
-    directory: "/libs/cli"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "uv"
-    directory: "/libs/langgraph"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "uv"
-    directory: "/libs/prebuilt"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "uv"
-    directory: "/libs/sdk-py"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "npm"
-    directory: "/libs/cli/js-examples"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
-
-  - package-ecosystem: "npm"
-    directory: "/libs/cli/js-monorepo-example"
-    schedule:
-      interval: "monthly"
-    groups:
-      minor-and-patch:
-        patterns:
-          - "*"
-        update-types:
-          - "minor"
-          - "patch"
-      major:
-        patterns:
-          - "*"
-        update-types:
-          - "major"
+      interval: "weekly"

.github/images/logo-dark.svg

@@ -1,5 +0,0 @@
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.github/images/logo-light.svg

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-<rect x="100" width="100" height="100" rx="20" transform="rotate(90 100 0)" fill="#161F34"/>
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.github/scripts/run_langgraph_cli_test.py

@@ -63,7 +63,7 @@ def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
             try:
                 sys.stderr.write("\n== docker compose ps ==\n")
                 runner.run(
-                    subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=True)
+                    subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=False)
                 )
             except Exception:
                 pass
@@ -76,7 +76,7 @@ def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
                         "logs",
                         "langgraph-api",
                         input=stdin,
-                        verbose=True,
+                        verbose=False,
                     )
                 )
             except Exception:

.github/workflows/_integration_test.yml

@@ -2,9 +2,6 @@ name: CLI integration test
 
 on:
   workflow_call:
-    secrets:
-      LANGSMITH_API_KEY:
-        required: false
 
 permissions:
   contents: read
@@ -31,8 +28,6 @@ jobs:
             workdir: libs/cli/examples/graphs_reqs_b
             tag: langgraph-test-d
     name: "CLI integration test"
-    env:
-      HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
     defaults:
       run:
         working-directory: libs/cli
@@ -40,84 +35,69 @@ jobs:
       - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
-        if: github.event_name != 'workflow_dispatch'
-        uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
+        uses: Ana06/get-changed-files@v2.3.0
         with:
           filter: "libs/cli/**"
       - name: Set up Python ${{ matrix.python-version }}
-        if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
-        uses: ./.github/actions/uv_setup
+        if: steps.changed-files.outputs.all
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
+          enable-cache: true
           cache-suffix: "cli-integration-test"
-          working-directory: libs/cli
+          ignore-nothing-to-cache: true
       - name: Install cli globally
-        if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
+        if: steps.changed-files.outputs.all
         run: pip install -e .
-      - name: Build service ${{ matrix.example.name }}
-        if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
-        working-directory: ${{ matrix.example.workdir }}
-        run: |
-          langgraph build -t ${{ matrix.example.tag }}
-      - name: Test service ${{ matrix.example.name }}
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&env.HAS_LANGSMITH_API_KEY == 'true' }}
+      - name: Build and test service ${{ matrix.example.name }}
+        if: steps.changed-files.outputs.all
         working-directory: ${{ matrix.example.workdir }}
         env:
           LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
+          # Build the image for this example
+          langgraph build -t ${{ matrix.example.tag }}
           # Prepare environment file from local or parent example directory
           if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env && cp ../.env.example ../.env; fi
-          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
-          if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi
+          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; if [ -f ../.env ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> ../.env; fi; fi
           # Run the integration test using the built tag
+          # Compute repo root to reference the shared script robustly
           REPO_ROOT=$(git rev-parse --show-toplevel)
           timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}
 
       - name: Build JS service
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
         working-directory: libs/cli/js-examples
         run: |
           langgraph build -t langgraph-test-e
 
       - name: Build JS monorepo service
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
         working-directory: libs/cli/js-monorepo-example
         run: |
           langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
 
       - name: Build Python monorepo service
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
         working-directory: libs/cli/python-monorepo-example
         run: |
           langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
-      - name: Test Python monorepo service
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
-        working-directory: libs/cli/python-monorepo-example
-        env:
-          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
-        run: |
           cp apps/agent/.env.example apps/agent/.env
-          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env
+          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> apps/agent/.env; fi
           timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
 
-      - name: Build prerelease reqs service
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+      - name: Build and test prerelease reqs service
+        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
         working-directory: libs/cli/examples/graph_prerelease_reqs
         run: |
           langgraph build -t langgraph-test-h
-      - name: Test prerelease reqs service
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
-        working-directory: libs/cli/examples/graph_prerelease_reqs
-        env:
-          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
-        run: |
           cp ../.env.example .env
-          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
+          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
           echo "Finished starting up langgraph-test-h"
           LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
-          if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
-            echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
+          if [ "$LANGGRAPH_VERSION" != "1.0.2" ]; then
+            echo "LANGGRAPH_VERSION != 1.0.2; $LANGGRAPH_VERSION"
             exit 1
           fi
           LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
@@ -132,7 +112,7 @@ jobs:
           fi
 
       - name: Build and test prerelease reqs fail service
-        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
+        if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
         working-directory: libs/cli/examples/graph_prerelease_reqs_fail
         run: |
           langgraph build -t langgraph-test-i || [ $? -eq 1 ]

.github/workflows/_lint.yml

@@ -34,25 +34,24 @@ jobs:
       - uses: actions/checkout@v6
       - name: Get changed files
         id: changed-files
-        if: github.event_name != 'workflow_dispatch'
-        uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
+        uses: Ana06/get-changed-files@v2.3.0
         with:
           filter: "${{ inputs.working-directory }}/**"
       - name: Set up Python ${{ matrix.python-version }}
-        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
-        uses: ./.github/actions/uv_setup
+        if: steps.changed-files.outputs.all
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
+          enable-cache: true
           cache-suffix: lint-${{ inputs.working-directory }}
-          working-directory: ${{ inputs.working-directory }}
 
       - name: Install dependencies
-        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
+        if: steps.changed-files.outputs.all
         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'
+        if: steps.changed-files.outputs.all
         uses: actions/cache@v5
         env:
           SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -62,7 +61,7 @@ jobs:
           key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
 
       - name: Analysing package code with our lint
-        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
+        if: steps.changed-files.outputs.all
         working-directory: ${{ inputs.working-directory }}
         run: |
           if make lint_package > /dev/null 2>&1; then
@@ -73,12 +72,12 @@ jobs:
           fi
 
       - name: Install test dependencies
-        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
+        if: steps.changed-files.outputs.all
         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'
+        if: steps.changed-files.outputs.all
         uses: actions/cache@v5
         env:
           SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -88,7 +87,7 @@ jobs:
           key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
 
       - name: Analysing tests with our lint
-        if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
+        if: steps.changed-files.outputs.all
         working-directory: ${{ inputs.working-directory }}
         run: |
           if make lint_tests > /dev/null 2>&1; then

.github/workflows/_test.yml

@@ -27,13 +27,13 @@ jobs:
     steps:
       - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
+          enable-cache: true
           cache-suffix: test-${{ inputs.working-directory }}
-          working-directory: ${{ inputs.working-directory }}
       - name: Login to Docker Hub
-        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
+        uses: docker/login-action@v3
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_langgraph.yml

@@ -25,13 +25,13 @@ jobs:
     steps:
       - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ matrix.python-version }}
+          enable-cache: true
           cache-suffix: "test-langgraph"
-          working-directory: libs/langgraph
       - name: Login to Docker Hub
-        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
+        uses: docker/login-action@v3
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}
@@ -45,13 +45,6 @@ jobs:
         shell: bash
         run: make test_parallel
 
-      - name: Run strict msgpack pregel tests
-        if: ${{ matrix.python-version == '3.13' }}
-        shell: bash
-        env:
-          LANGGRAPH_STRICT_MSGPACK: "true"
-        run: make test TEST="tests/test_pregel.py tests/test_pregel_async.py"
-
       - name: Ensure the tests did not create any additional files
         shell: bash
         run: |

.github/workflows/_test_release.yml

@@ -25,12 +25,12 @@ jobs:
     steps:
       - uses: actions/checkout@v6
 
-      - name: Set up Python ${{ env.PYTHON_VERSION }}
-        uses: ./.github/actions/uv_setup
+      - name: Set up Python $${ env.PYTHON_VERSION }}
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
           cache-suffix: "release"
-          working-directory: ${{ inputs.working-directory }}
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -48,7 +48,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/
@@ -76,13 +76,13 @@ jobs:
     steps:
       - uses: actions/checkout@v6
 
-      - uses: actions/download-artifact@v8
+      - uses: actions/download-artifact@v7
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish to test PyPI
-        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
+        uses: pypa/gh-action-pypi-publish@release/v1
         with:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true

.github/workflows/baseline.yml

@@ -20,11 +20,11 @@ jobs:
       - 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
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
+          enable-cache: true
           cache-suffix: "bench"
-          working-directory: libs/langgraph
       - name: Install dependencies
         run: uv sync --group test
       - name: Run benchmarks

.github/workflows/bench.yml

@@ -18,15 +18,15 @@ jobs:
       - uses: actions/checkout@v6
       - id: files
         name: Get changed files
-        uses: Ana06/get-changed-files@25f79e676e7ea1868813e21465014798211fad8c # v2.3.0
+        uses: Ana06/get-changed-files@v2.3.0
         with:
           format: json
       - name: Set up Python 3.11
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.11"
+          enable-cache: true
           cache-suffix: "bench"
-          working-directory: libs/langgraph
       - name: Install dependencies
         run: uv sync --group test
       - name: Download baseline

.github/workflows/ci.yml

@@ -2,12 +2,10 @@
 name: CI
 
 on:
-  workflow_dispatch:
   push:
     branches:
       - main
   pull_request:
-  
 
 permissions:
   contents: read
@@ -26,12 +24,11 @@ jobs:
   changes:
     runs-on: ubuntu-latest
     outputs:
-      python: ${{ steps.filter.outputs.python || 'true' }}
-      deps: ${{ steps.filter.outputs.deps || 'true' }}
+      python: ${{ steps.filter.outputs.python }}
+      deps: ${{ steps.filter.outputs.deps }}
     steps:
       - uses: actions/checkout@v6
-      - uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
-        if: github.event_name != 'workflow_dispatch'
+      - uses: dorny/paths-filter@v3
         id: filter
         with:
           filters: |
@@ -42,7 +39,6 @@ jobs:
               - 'libs/checkpoint/**'
               - 'libs/checkpoint-sqlite/**'
               - 'libs/checkpoint-postgres/**'
-              - 'libs/checkpoint-conformance/**'
               - 'libs/prebuilt/**'
             deps:
               - '**/pyproject.toml'
@@ -61,7 +57,7 @@ jobs:
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
-            "libs/checkpoint-conformance",
+
             "libs/prebuilt",
           ]
     if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
@@ -81,7 +77,6 @@ jobs:
             "libs/checkpoint",
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
-            "libs/checkpoint-conformance",
             "libs/prebuilt",
             "libs/sdk-py",
           ]
@@ -125,11 +120,11 @@ jobs:
     steps:
       - uses: actions/checkout@v6
       - name: Set up Python ${{ matrix.python-version }}
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: "3.13"
+          enable-cache: true
           cache-suffix: "schema-check-cli"
-          working-directory: libs/cli
       - name: Install CLI dependencies
         run: |
           cd libs/cli

.github/workflows/deploy-redirects.yml

@@ -1,49 +0,0 @@
-name: Deploy Redirects to GitHub Pages
-
-on:
-  push:
-    branches:
-      - main
-    paths:
-      - 'docs/**'
-      - '.github/workflows/deploy-redirects.yml'
-  workflow_dispatch:
-
-permissions:
-  contents: read
-  pages: write
-  id-token: write
-
-concurrency:
-  group: "pages"
-  cancel-in-progress: false
-
-jobs:
-  deploy:
-    environment:
-      name: github-pages
-      url: ${{ steps.deployment.outputs.page_url }}
-    runs-on: ubuntu-latest
-    steps:
-      - name: Checkout
-        uses: actions/checkout@v6
-
-      - name: Setup Python
-        uses: actions/setup-python@v6
-        with:
-          python-version: '3.11'
-
-      - name: Generate redirect files
-        run: python docs/generate_redirects.py
-
-      - name: Setup Pages
-        uses: actions/configure-pages@v5
-
-      - name: Upload artifact
-        uses: actions/upload-pages-artifact@v4
-        with:
-          path: 'docs/_site'
-
-      - name: Deploy to GitHub Pages
-        id: deployment
-        uses: actions/deploy-pages@v5

.github/workflows/pr_lint.yml

@@ -12,7 +12,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Validate PR Title
-        uses: amannn/action-semantic-pull-request@48f256284bd46cdaab1048c3721360e808335d50 # v6
+        uses: amannn/action-semantic-pull-request@v6
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         with:

.github/workflows/release.yml

@@ -28,11 +28,11 @@ jobs:
       - uses: actions/checkout@v6
 
       - name: Set up Python
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
           cache-suffix: "release"
-          working-directory: ${{ inputs.working-directory }}
 
       # We want to keep this build stage *separate* from the release stage,
       # so that there's no sharing of permissions between them.
@@ -50,7 +50,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
       - name: Upload build
-        uses: actions/upload-artifact@v7
+        uses: actions/upload-artifact@v6
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -173,11 +173,10 @@ jobs:
       #   used in the real world.
 
       - name: Set up Python
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
-          enable-cache: false
-          working-directory: ${{ inputs.working-directory }}
+          enable-cache: true
 
       - name: Import published package
         shell: bash
@@ -264,19 +263,19 @@ jobs:
       - uses: actions/checkout@v6
 
       - name: Set up Python
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
           cache-suffix: "release"
-          working-directory: ${{ inputs.working-directory }}
 
-      - uses: actions/download-artifact@v8
+      - uses: actions/download-artifact@v7
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish package distributions to PyPI
-        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
+        uses: pypa/gh-action-pypi-publish@release/v1
         with:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true
@@ -305,19 +304,19 @@ jobs:
       - uses: actions/checkout@v6
 
       - name: Set up Python
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
           python-version: ${{ env.PYTHON_VERSION }}
+          enable-cache: true
           cache-suffix: "release"
-          working-directory: ${{ inputs.working-directory }}
 
-      - uses: actions/download-artifact@v8
+      - uses: actions/download-artifact@v7
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Create Tag
-        uses: ncipollo/release-action@339a81892b84b4eeb0f6e744e4574d79d0d9b8dd # v1
+        uses: ncipollo/release-action@v1
         with:
           artifacts: "dist/*"
           token: ${{ secrets.GITHUB_TOKEN }}

.github/workflows/require_issue_link.yml

@@ -1,419 +0,0 @@
-# Require external PRs to reference an approved issue (e.g. Fixes #NNN) and
-# the PR author to be assigned to that issue. On failure the PR is
-# labeled "missing-issue-link", commented on, and closed.
-#
-# Maintainer override: an org member can reopen the PR or remove
-# "missing-issue-link" — both add "bypass-issue-check" and reopen.
-#
-# Dependency: tag-external-prs.yml must apply the "external" label
-# first. This workflow does NOT trigger on "opened" (new PRs have no labels
-# yet, so the gate would always skip).
-
-name: Require Issue Link
-
-on:
-  pull_request_target:
-    types: [edited, reopened, labeled, unlabeled]
-
-# ──────────────────────────────────────────────────────────────────────────────
-# Enforcement gate: set to 'true' to activate the issue link requirement.
-# When 'false', the workflow still runs the check logic (useful for dry-run
-# visibility) but will NOT label, comment, close, or fail PRs.
-# ──────────────────────────────────────────────────────────────────────────────
-env:
-  ENFORCE_ISSUE_LINK: "true"
-
-permissions:
-  contents: read
-
-jobs:
-  check-issue-link:
-    # Run when the "external" label is added, on edit/reopen if already labeled,
-    # or when "missing-issue-link" is removed (triggers maintainer override check).
-    # Skip entirely when the PR already carries "trusted-contributor" or
-    # "bypass-issue-check".
-    if: >-
-      !contains(github.event.pull_request.labels.*.name, 'trusted-contributor') &&
-      !contains(github.event.pull_request.labels.*.name, 'bypass-issue-check') &&
-      (
-        (github.event.action == 'labeled' && github.event.label.name == 'external') ||
-        (github.event.action == 'unlabeled' && github.event.label.name == 'missing-issue-link' && contains(github.event.pull_request.labels.*.name, 'external')) ||
-        (github.event.action != 'labeled' && github.event.action != 'unlabeled' && contains(github.event.pull_request.labels.*.name, 'external'))
-      )
-    runs-on: ubuntu-latest
-    permissions:
-      actions: write
-      pull-requests: write
-
-    steps:
-      - name: Check for issue link and assignee
-        id: check-link
-        uses: actions/github-script@v8
-        with:
-          script: |
-            const { owner, repo } = context.repo;
-            const prNumber = context.payload.pull_request.number;
-            const action = context.payload.action;
-
-            // ── Helper: ensure a label exists, then add it to the PR ────────
-            async function ensureAndAddLabel(labelName, color) {
-              try {
-                await github.rest.issues.getLabel({ owner, repo, name: labelName });
-              } catch (e) {
-                if (e.status !== 404) throw e;
-                try {
-                  await github.rest.issues.createLabel({ owner, repo, name: labelName, color });
-                } catch (createErr) {
-                  // 422 = label was created by a concurrent run between our
-                  // GET and POST — safe to ignore.
-                  if (createErr.status !== 422) throw createErr;
-                }
-              }
-              await github.rest.issues.addLabels({
-                owner, repo, issue_number: prNumber, labels: [labelName],
-              });
-            }
-
-            // ── Helper: check if the user who triggered this event (reopened
-            // the PR / removed the label) has write+ access on the repo ───
-            // Uses the repo collaborator permission endpoint instead of the
-            // org membership endpoint. The org endpoint requires the caller
-            // to be an org member, which GITHUB_TOKEN (an app installation
-            // token) never is — so it always returns 403.
-            async function senderIsOrgMember() {
-              const sender = context.payload.sender?.login;
-              if (!sender) {
-                throw new Error('Event has no sender — cannot check permissions');
-              }
-              try {
-                const { data } = await github.rest.repos.getCollaboratorPermissionLevel({
-                  owner, repo, username: sender,
-                });
-                const perm = data.permission;
-                if (['admin', 'maintain', 'write'].includes(perm)) {
-                  console.log(`${sender} has ${perm} permission — treating as maintainer`);
-                  return { isMember: true, login: sender };
-                }
-                console.log(`${sender} has ${perm} permission — not a maintainer`);
-                return { isMember: false, login: sender };
-              } catch (e) {
-                if (e.status === 404) {
-                  console.log(`Cannot check permissions for ${sender} — treating as non-maintainer`);
-                  return { isMember: false, login: sender };
-                }
-                const status = e.status ?? 'unknown';
-                throw new Error(
-                  `Permission check failed for ${sender} (HTTP ${status}): ${e.message}`,
-                );
-              }
-            }
-
-            // ── Helper: apply maintainer bypass (shared by both override paths) ──
-            async function applyMaintainerBypass(reason) {
-              console.log(reason);
-
-              // Remove missing-issue-link if present
-              try {
-                await github.rest.issues.removeLabel({
-                  owner, repo, issue_number: prNumber, name: 'missing-issue-link',
-                });
-              } catch (e) {
-                if (e.status !== 404) throw e;
-              }
-
-              // Reopen before adding bypass label — a failed reopen is more
-              // actionable than a closed PR with a bypass label stuck on it.
-              if (context.payload.pull_request.state === 'closed') {
-                try {
-                  await github.rest.pulls.update({
-                    owner, repo, pull_number: prNumber, state: 'open',
-                  });
-                  console.log(`Reopened PR #${prNumber}`);
-                } catch (e) {
-                  // 422 if head branch deleted; 403 if permissions insufficient.
-                  // Bypass labels still apply — maintainer can reopen manually.
-                  core.warning(
-                    `Could not reopen PR #${prNumber} (HTTP ${e.status ?? 'unknown'}): ${e.message}. ` +
-                    `Bypass labels were applied — a maintainer may need to reopen manually.`,
-                  );
-                }
-              }
-
-              // Add bypass-issue-check so future triggers skip enforcement
-              await ensureAndAddLabel('bypass-issue-check', '0e8a16');
-
-              core.setOutput('has-link', 'true');
-              core.setOutput('is-assigned', 'true');
-            }
-
-            // ── Maintainer override: removed "missing-issue-link" label ─────
-            if (action === 'unlabeled') {
-              const { isMember, login } = await senderIsOrgMember();
-              if (isMember) {
-                await applyMaintainerBypass(
-                  `Maintainer ${login} removed missing-issue-link from PR #${prNumber} — bypassing enforcement`,
-                );
-                return;
-              }
-              // Non-member removed the label — re-add it defensively and
-              // set failure outputs so downstream steps (comment, close) fire.
-              // NOTE: addLabels fires a "labeled" event, but the job-level gate
-              // only matches labeled events for "external", so no re-trigger.
-              console.log(`Non-member ${login} removed missing-issue-link — re-adding`);
-              try {
-                await ensureAndAddLabel('missing-issue-link', 'b76e79');
-              } catch (e) {
-                core.warning(
-                  `Failed to re-add missing-issue-link (HTTP ${e.status ?? 'unknown'}): ${e.message}. ` +
-                  `Downstream step will retry.`,
-                );
-              }
-              core.setOutput('has-link', 'false');
-              core.setOutput('is-assigned', 'false');
-              return;
-            }
-
-            // ── Maintainer override: reopened PR with "missing-issue-link" ──
-            const prLabels = context.payload.pull_request.labels.map(l => l.name);
-            if (action === 'reopened' && prLabels.includes('missing-issue-link')) {
-              const { isMember, login } = await senderIsOrgMember();
-              if (isMember) {
-                await applyMaintainerBypass(
-                  `Maintainer ${login} reopened PR #${prNumber} — bypassing enforcement`,
-                );
-                return;
-              }
-              console.log(`Non-member ${login} reopened PR — proceeding with check`);
-            }
-
-            // ── Fetch live labels (race guard) ──────────────────────────────
-            const { data: liveLabels } = await github.rest.issues.listLabelsOnIssue({
-              owner, repo, issue_number: prNumber,
-            });
-            const liveNames = liveLabels.map(l => l.name);
-            if (liveNames.includes('trusted-contributor') || liveNames.includes('bypass-issue-check')) {
-              console.log('PR has trusted-contributor or bypass-issue-check label — bypassing');
-              core.setOutput('has-link', 'true');
-              core.setOutput('is-assigned', 'true');
-              return;
-            }
-
-            const body = context.payload.pull_request.body || '';
-            const pattern = /(?:close[sd]?|fix(?:e[sd])?|resolve[sd]?)\s*#(\d+)/gi;
-            const matches = [...body.matchAll(pattern)];
-
-            if (matches.length === 0) {
-              console.log('No issue link found in PR body');
-              core.setOutput('has-link', 'false');
-              core.setOutput('is-assigned', 'false');
-              return;
-            }
-
-            const issues = matches.map(m => `#${m[1]}`).join(', ');
-            console.log(`Found issue link(s): ${issues}`);
-            core.setOutput('has-link', 'true');
-
-            // Check whether the PR author is assigned to at least one linked issue
-            const prAuthor = context.payload.pull_request.user.login;
-            const MAX_ISSUES = 5;
-            const allIssueNumbers = [...new Set(matches.map(m => parseInt(m[1], 10)))];
-            const issueNumbers = allIssueNumbers.slice(0, MAX_ISSUES);
-            if (allIssueNumbers.length > MAX_ISSUES) {
-              core.warning(
-                `PR references ${allIssueNumbers.length} issues — only checking the first ${MAX_ISSUES}`,
-              );
-            }
-
-            let assignedToAny = false;
-            for (const num of issueNumbers) {
-              try {
-                const { data: issue } = await github.rest.issues.get({
-                  owner, repo, issue_number: num,
-                });
-                const assignees = issue.assignees.map(a => a.login.toLowerCase());
-                if (assignees.includes(prAuthor.toLowerCase())) {
-                  console.log(`PR author "${prAuthor}" is assigned to #${num}`);
-                  assignedToAny = true;
-                  break;
-                } else {
-                  console.log(`PR author "${prAuthor}" is NOT assigned to #${num} (assignees: ${assignees.join(', ') || 'none'})`);
-                }
-              } catch (error) {
-                if (error.status === 404) {
-                  console.log(`Issue #${num} not found — skipping`);
-                } else {
-                  // Non-404 errors (rate limit, server error) must not be
-                  // silently skipped — they could cause false enforcement
-                  // (closing a legitimate PR whose assignment can't be verified).
-                  throw new Error(
-                    `Cannot verify assignee for issue #${num} (${error.status}): ${error.message}`,
-                  );
-                }
-              }
-            }
-
-            core.setOutput('is-assigned', assignedToAny ? 'true' : 'false');
-
-      - name: Add missing-issue-link label
-        if: >-
-          env.ENFORCE_ISSUE_LINK == 'true' &&
-          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v8
-        with:
-          script: |
-            const { owner, repo } = context.repo;
-            const prNumber = context.payload.pull_request.number;
-            const labelName = 'missing-issue-link';
-
-            // Ensure the label exists (no checkout/shared helper available)
-            try {
-              await github.rest.issues.getLabel({ owner, repo, name: labelName });
-            } catch (e) {
-              if (e.status !== 404) throw e;
-              try {
-                await github.rest.issues.createLabel({
-                  owner, repo, name: labelName, color: 'b76e79',
-                });
-              } catch (createErr) {
-                if (createErr.status !== 422) throw createErr;
-              }
-            }
-
-            await github.rest.issues.addLabels({
-              owner, repo, issue_number: prNumber, labels: [labelName],
-            });
-
-      - name: Remove missing-issue-link label and reopen PR
-        if: >-
-          env.ENFORCE_ISSUE_LINK == 'true' &&
-          steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
-        uses: actions/github-script@v8
-        with:
-          script: |
-            const { owner, repo } = context.repo;
-            const prNumber = context.payload.pull_request.number;
-            try {
-              await github.rest.issues.removeLabel({
-                owner, repo, issue_number: prNumber, name: 'missing-issue-link',
-              });
-            } catch (error) {
-              if (error.status !== 404) throw error;
-            }
-
-            // Reopen if this workflow previously closed the PR. We check the
-            // event payload labels (not live labels) because we already removed
-            // missing-issue-link above; the payload still reflects pre-step state.
-            const labels = context.payload.pull_request.labels.map(l => l.name);
-            if (context.payload.pull_request.state === 'closed' && labels.includes('missing-issue-link')) {
-              await github.rest.pulls.update({
-                owner,
-                repo,
-                pull_number: prNumber,
-                state: 'open',
-              });
-              console.log(`Reopened PR #${prNumber}`);
-            }
-
-      - name: Post comment, close PR, and fail
-        if: >-
-          env.ENFORCE_ISSUE_LINK == 'true' &&
-          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v8
-        with:
-          script: |
-            const { owner, repo } = context.repo;
-            const prNumber = context.payload.pull_request.number;
-            const hasLink = '${{ steps.check-link.outputs.has-link }}' === 'true';
-            const isAssigned = '${{ steps.check-link.outputs.is-assigned }}' === 'true';
-            const marker = '<!-- require-issue-link -->';
-
-            let lines;
-            if (!hasLink) {
-              lines = [
-                marker,
-                '**This PR has been automatically closed** because it does not link to an approved issue.',
-                '',
-                'All external contributions must reference an approved issue or discussion. Please:',
-                '1. Find or [open an issue](https://github.com/' + owner + '/' + repo + '/issues/new/choose) describing the change',
-                '2. Wait for a maintainer to approve and assign you',
-                '3. Add `Fixes #<issue_number>`, `Closes #<issue_number>`, or `Resolves #<issue_number>` to your PR description and the PR will be reopened automatically',
-                '',
-                '*Maintainers: reopen this PR or remove the `missing-issue-link` label to bypass this check.*',
-              ];
-            } else {
-              lines = [
-                marker,
-                '**This PR has been automatically closed** because you are not assigned to the linked issue.',
-                '',
-                'External contributors must be assigned to an issue before opening a PR for it. Please:',
-                '1. Comment on the linked issue to request assignment from a maintainer',
-                '2. Once assigned, edit your PR description and the PR will be reopened automatically',
-                '',
-                '*Maintainers: reopen this PR or remove the `missing-issue-link` label to bypass this check.*',
-              ];
-            }
-
-            const body = lines.join('\n');
-
-            // Deduplicate: check for existing comment with the marker
-            const comments = await github.paginate(
-              github.rest.issues.listComments,
-              { owner, repo, issue_number: prNumber, per_page: 100 },
-            );
-            const existing = comments.find(c => c.body && c.body.includes(marker));
-
-            if (!existing) {
-              await github.rest.issues.createComment({
-                owner,
-                repo,
-                issue_number: prNumber,
-                body,
-              });
-              console.log('Posted requirement comment');
-            } else if (existing.body !== body) {
-              await github.rest.issues.updateComment({
-                owner,
-                repo,
-                comment_id: existing.id,
-                body,
-              });
-              console.log('Updated existing comment with new message');
-            } else {
-              console.log('Comment already exists — skipping');
-            }
-
-            // Close the PR
-            if (context.payload.pull_request.state === 'open') {
-              await github.rest.pulls.update({
-                owner,
-                repo,
-                pull_number: prNumber,
-                state: 'closed',
-              });
-              console.log(`Closed PR #${prNumber}`);
-            }
-
-            // Cancel all other in-progress and queued workflow runs for this PR
-            const headSha = context.payload.pull_request.head.sha;
-            for (const status of ['in_progress', 'queued']) {
-              const runs = await github.paginate(
-                github.rest.actions.listWorkflowRunsForRepo,
-                { owner, repo, head_sha: headSha, status, per_page: 100 },
-              );
-              for (const run of runs) {
-                if (run.id === context.runId) continue;
-                try {
-                  await github.rest.actions.cancelWorkflowRun({
-                    owner, repo, run_id: run.id,
-                  });
-                  console.log(`Cancelled ${status} run ${run.id} (${run.name})`);
-                } catch (err) {
-                  console.log(`Could not cancel run ${run.id}: ${err.message}`);
-                }
-              }
-            }
-
-            const reason = !hasLink
-              ? 'PR must reference an issue using auto-close keywords (e.g., "Fixes #123").'
-              : 'PR author must be assigned to the linked issue.';
-            core.setFailed(reason);

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

@@ -1,402 +0,0 @@
-# Automatically tag issues as "external" or "internal" based on whether
-# the author is a member of the langchain-ai GitHub organization, and
-# apply contributor tier labels to external contributors based on their
-# merged PR history.
-#
-# PR labeling is handled by tag-external-prs.yml.
-# PR + issue backfill lives in the backfill job below (workflow_dispatch).
-#
-# Setup Requirements:
-# 1. Create a GitHub App with permissions:
-#    - Repository: Issues (write), Pull requests (write)
-#    - Organization: Members (read)
-# 2. Install the app on your organization and this repository
-# 3. Add these repository secrets:
-#    - ORG_MEMBERSHIP_APP_ID: Your app's ID
-#    - ORG_MEMBERSHIP_APP_PRIVATE_KEY: Your app's private key
-#
-# The GitHub App token is required to check private organization membership.
-# Without it, the workflow will fail.
-
-name: Tag External Issues
-
-on:
-  issues:
-    types: [opened]
-  workflow_dispatch:
-    inputs:
-      backfill_type:
-        description: "Backfill type (for initial run)"
-        default: "both"
-        type: choice
-        options:
-          - prs
-          - issues
-          - both
-      max_items:
-        description: "Maximum number of items to process"
-        default: "100"
-        type: string
-
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.issue.number || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  tag-external:
-    if: github.event_name == 'issues'
-    runs-on: ubuntu-latest
-    permissions:
-      issues: write
-
-    steps:
-      - name: Generate GitHub App token
-        id: app-token
-        uses: actions/create-github-app-token@v3
-        with:
-          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
-          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
-
-      - name: Check if contributor is external
-        if: steps.app-token.outcome == 'success'
-        id: check-membership
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{ steps.app-token.outputs.token }}
-          script: |
-            const { owner, repo } = context.repo;
-            const author = context.payload.sender.login;
-            const senderType = context.payload.sender.type;
-
-            if (senderType === 'Bot') {
-              console.log(`${author} is a Bot — treating as internal`);
-              core.setOutput('is-external', 'false');
-              return;
-            }
-
-            try {
-              const membership = await github.rest.orgs.getMembershipForUser({
-                org: 'langchain-ai',
-                username: author,
-              });
-              const isExternal = membership.data.state !== 'active';
-              console.log(
-                isExternal
-                  ? `${author} has pending membership — treating as external`
-                  : `${author} is an active member of langchain-ai`,
-              );
-              core.setOutput('is-external', isExternal ? 'true' : 'false');
-            } catch (e) {
-              if (e.status === 404) {
-                console.log(`${author} is not a member of langchain-ai`);
-                core.setOutput('is-external', 'true');
-              } else {
-                throw new Error(
-                  `Membership check failed for ${author} (${e.status}): ${e.message}`,
-                );
-              }
-            }
-
-      - name: Apply contributor tier label
-        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          script: |
-            const { owner, repo } = context.repo;
-            const issue = context.payload.issue;
-            const author = issue.user.login;
-            const issueNumber = issue.number;
-
-            const TRUSTED_THRESHOLD = 5;
-            const LABEL_COLOR = 'b76e79';
-
-            let mergedCount;
-            try {
-              const result = await github.rest.search.issuesAndPullRequests({
-                q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
-                per_page: 1,
-              });
-              mergedCount = result?.data?.total_count;
-            } catch (error) {
-              if (error?.status !== 422) throw error;
-              core.warning(`Search failed for ${author}; skipping tier label.`);
-              return;
-            }
-
-            if (mergedCount == null) {
-              core.warning(`Search response missing total_count for ${author}; skipping tier label.`);
-              return;
-            }
-
-            const tierLabel = mergedCount >= TRUSTED_THRESHOLD ? 'trusted-contributor' : null;
-
-            if (tierLabel) {
-              try {
-                await github.rest.issues.getLabel({ owner, repo, name: tierLabel });
-              } catch (e) {
-                if (e.status !== 404) throw e;
-                try {
-                  await github.rest.issues.createLabel({ owner, repo, name: tierLabel, color: LABEL_COLOR });
-                } catch (createErr) {
-                  if (createErr.status !== 422) throw createErr;
-                }
-              }
-              await github.rest.issues.addLabels({
-                owner, repo, issue_number: issueNumber, labels: [tierLabel],
-              });
-              console.log(`Applied '${tierLabel}' to #${issueNumber} (${mergedCount} merged PRs)`);
-            } else {
-              console.log(`No tier label for ${author} (${mergedCount} merged PRs)`);
-            }
-
-      - name: Add external label
-        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          script: |
-            const { owner, repo } = context.repo;
-            const issue_number = context.payload.issue.number;
-            await github.rest.issues.addLabels({
-              owner, repo, issue_number, labels: ['external'],
-            });
-            console.log(`Added 'external' label to issue #${issue_number}`);
-
-      - name: Add internal label
-        if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          script: |
-            const { owner, repo } = context.repo;
-            const issue_number = context.payload.issue.number;
-            await github.rest.issues.addLabels({
-              owner, repo, issue_number, labels: ['internal'],
-            });
-            console.log(`Added 'internal' label to issue #${issue_number}`);
-
-  backfill:
-    if: github.event_name == 'workflow_dispatch'
-    runs-on: ubuntu-latest
-    permissions:
-      contents: read
-      issues: write
-      pull-requests: write
-
-    steps:
-      - name: Generate GitHub App token
-        id: app-token
-        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@v8
-        with:
-          github-token: ${{ steps.app-token.outputs.token }}
-          script: |
-            const { owner, repo } = context.repo;
-            const rawMax = '${{ inputs.max_items }}';
-            const maxItems = parseInt(rawMax, 10);
-            if (isNaN(maxItems) || maxItems <= 0) {
-              core.setFailed(`Invalid max_items: "${rawMax}" — must be a positive integer`);
-              return;
-            }
-            const backfillType = '${{ inputs.backfill_type }}';
-
-            const TRUSTED_THRESHOLD = 5;
-            const LABEL_COLOR = 'b76e79';
-
-            const tierLabels = ['trusted-contributor'];
-
-            // ── Helpers ─────────────────────────────────────────────────
-
-            async function ensureLabel(name) {
-              try {
-                await github.rest.issues.getLabel({ owner, repo, name });
-              } catch (e) {
-                if (e.status !== 404) throw e;
-                try {
-                  await github.rest.issues.createLabel({ owner, repo, name, color: LABEL_COLOR });
-                } catch (createErr) {
-                  if (createErr.status !== 422) throw createErr;
-                }
-              }
-            }
-
-            async function checkMembership(author, userType) {
-              if (userType === 'Bot') {
-                console.log(`${author} is a Bot — treating as internal`);
-                return { isExternal: false };
-              }
-              try {
-                const membership = await github.rest.orgs.getMembershipForUser({
-                  org: 'langchain-ai',
-                  username: author,
-                });
-                const isExternal = membership.data.state !== 'active';
-                console.log(
-                  isExternal
-                    ? `${author} has pending membership — treating as external`
-                    : `${author} is an active member of langchain-ai`,
-                );
-                return { isExternal };
-              } catch (e) {
-                if (e.status === 404) {
-                  console.log(`${author} is not a member of langchain-ai`);
-                  return { isExternal: true };
-                }
-                throw new Error(
-                  `Membership check failed for ${author} (${e.status}): ${e.message}`,
-                );
-              }
-            }
-
-            async function getContributorInfo(contributorCache, author, userType) {
-              if (contributorCache.has(author)) return contributorCache.get(author);
-
-              const { isExternal } = await checkMembership(author, userType);
-
-              let mergedCount = null;
-              if (isExternal) {
-                try {
-                  const result = await github.rest.search.issuesAndPullRequests({
-                    q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
-                    per_page: 1,
-                  });
-                  mergedCount = result?.data?.total_count ?? null;
-                } catch (e) {
-                  if (e?.status !== 422) throw e;
-                  core.warning(`Search failed for ${author}; skipping tier.`);
-                }
-              }
-
-              const info = { isExternal, mergedCount };
-              contributorCache.set(author, info);
-              return info;
-            }
-
-            // ── Setup ────────────────────────────────────────────────────
-
-            for (const name of tierLabels) {
-              await ensureLabel(name);
-            }
-
-            const contributorCache = new Map();
-
-            let processed = 0;
-            let failures = 0;
-
-            // ── Backfill PRs ─────────────────────────────────────────────
-
-            if (backfillType === 'prs' || backfillType === 'both') {
-              const prs = await github.paginate(github.rest.pulls.list, {
-                owner, repo, state: 'open', per_page: 100,
-              });
-
-              for (const pr of prs) {
-                if (processed >= maxItems) break;
-
-                try {
-                  const author = pr.user.login;
-                  const info = await getContributorInfo(contributorCache, author, pr.user.type);
-
-                  const labels = [info.isExternal ? 'external' : 'internal'];
-                  if (info.isExternal && info.mergedCount != null && info.mergedCount >= TRUSTED_THRESHOLD) {
-                    labels.push('trusted-contributor');
-                  }
-
-                  // Ensure all labels exist before batch add
-                  for (const name of labels) {
-                    await ensureLabel(name);
-                  }
-
-                  // Remove stale tier labels
-                  const currentLabels = (await github.paginate(
-                    github.rest.issues.listLabelsOnIssue,
-                    { owner, repo, issue_number: pr.number, per_page: 100 },
-                  )).map(l => l.name ?? '');
-                  for (const name of currentLabels) {
-                    if (tierLabels.includes(name) && !labels.includes(name)) {
-                      try {
-                        await github.rest.issues.removeLabel({
-                          owner, repo, issue_number: pr.number, name,
-                        });
-                      } catch (e) {
-                        if (e.status !== 404) throw e;
-                      }
-                    }
-                  }
-
-                  await github.rest.issues.addLabels({
-                    owner, repo, issue_number: pr.number, labels,
-                  });
-                  console.log(`PR #${pr.number} (${author}): ${labels.join(', ')}`);
-                  processed++;
-                } catch (e) {
-                  failures++;
-                  core.warning(`Failed to process PR #${pr.number}: ${e.message}`);
-                }
-              }
-            }
-
-            // ── Backfill issues ──────────────────────────────────────────
-
-            if (backfillType === 'issues' || backfillType === 'both') {
-              const issues = await github.paginate(github.rest.issues.listForRepo, {
-                owner, repo, state: 'open', per_page: 100,
-              });
-
-              for (const issue of issues) {
-                if (processed >= maxItems) break;
-                if (issue.pull_request) continue;
-
-                try {
-                  const author = issue.user.login;
-                  const info = await getContributorInfo(contributorCache, author, issue.user.type);
-
-                  const labels = [info.isExternal ? 'external' : 'internal'];
-                  if (info.isExternal && info.mergedCount != null && info.mergedCount >= TRUSTED_THRESHOLD) {
-                    labels.push('trusted-contributor');
-                  }
-
-                  // Ensure all labels exist before batch add
-                  for (const name of labels) {
-                    await ensureLabel(name);
-                  }
-
-                  // Remove stale tier labels
-                  const currentLabels = (await github.paginate(
-                    github.rest.issues.listLabelsOnIssue,
-                    { owner, repo, issue_number: issue.number, per_page: 100 },
-                  )).map(l => l.name ?? '');
-                  for (const name of currentLabels) {
-                    if (tierLabels.includes(name) && !labels.includes(name)) {
-                      try {
-                        await github.rest.issues.removeLabel({
-                          owner, repo, issue_number: issue.number, name,
-                        });
-                      } catch (e) {
-                        if (e.status !== 404) throw e;
-                      }
-                    }
-                  }
-
-                  await github.rest.issues.addLabels({
-                    owner, repo, issue_number: issue.number, labels,
-                  });
-                  console.log(`Issue #${issue.number} (${author}): ${labels.join(', ')}`);
-                  processed++;
-                } catch (e) {
-                  failures++;
-                  core.warning(`Failed to process issue #${issue.number}: ${e.message}`);
-                }
-              }
-            }
-
-            console.log(`\nBackfill complete. Processed ${processed} items, ${failures} failures. ${contributorCache.size} unique authors.`);

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

@@ -1,173 +0,0 @@
-# Automatically tag pull requests as "external" or "internal" based on
-# whether the author is a member of the langchain-ai GitHub organization,
-# and apply contributor tier labels to external contributors based on
-# their merged PR history.
-#
-# Issue labeling is handled by tag-external-issues.yml.
-# Backfill (workflow_dispatch) also lives in tag-external-issues.yml.
-#
-# Setup Requirements:
-# 1. Create a GitHub App with permissions:
-#    - Repository: Pull requests (write)
-#    - Organization: Members (read)
-# 2. Install the app on your organization and this repository
-# 3. Add these repository secrets:
-#    - ORG_MEMBERSHIP_APP_ID: Your app's ID
-#    - ORG_MEMBERSHIP_APP_PRIVATE_KEY: Your app's private key
-#
-# The GitHub App token is required to check private organization membership.
-# Without it, the workflow will fail.
-
-name: Tag External PRs
-
-on:
-  pull_request_target:
-    types: [opened]
-
-permissions:
-  contents: read
-
-concurrency:
-  group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.run_id }}
-  cancel-in-progress: true
-
-jobs:
-  tag-external:
-    runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write
-
-    steps:
-      - name: Generate GitHub App token
-        id: app-token
-        uses: actions/create-github-app-token@v3
-        with:
-          app-id: ${{ secrets.ORG_MEMBERSHIP_APP_ID }}
-          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
-
-      - name: Check if contributor is external
-        if: steps.app-token.outcome == 'success'
-        id: check-membership
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{ steps.app-token.outputs.token }}
-          script: |
-            const { owner, repo } = context.repo;
-            const author = context.payload.sender.login;
-            const senderType = context.payload.sender.type;
-
-            if (senderType === 'Bot') {
-              console.log(`${author} is a Bot — treating as internal`);
-              core.setOutput('is-external', 'false');
-              return;
-            }
-
-            try {
-              const membership = await github.rest.orgs.getMembershipForUser({
-                org: 'langchain-ai',
-                username: author,
-              });
-              const isExternal = membership.data.state !== 'active';
-              console.log(
-                isExternal
-                  ? `${author} has pending membership — treating as external`
-                  : `${author} is an active member of langchain-ai`,
-              );
-              core.setOutput('is-external', isExternal ? 'true' : 'false');
-            } catch (e) {
-              if (e.status === 404) {
-                console.log(`${author} is not a member of langchain-ai`);
-                core.setOutput('is-external', 'true');
-              } else {
-                throw new Error(
-                  `Membership check failed for ${author} (${e.status}): ${e.message}`,
-                );
-              }
-            }
-
-      # Apply tier label BEFORE the external label so that
-      # "trusted-contributor" is already present when the "external" labeled
-      # 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@v8
-        with:
-          # Use App token so the "labeled" event propagates to downstream
-          # workflows (e.g. require_issue_link.yml).
-          github-token: ${{ steps.app-token.outputs.token }}
-          script: |
-            const { owner, repo } = context.repo;
-            const pr = context.payload.pull_request;
-            const author = pr.user.login;
-            const prNumber = pr.number;
-
-            const TRUSTED_THRESHOLD = 5;
-            const LABEL_COLOR = 'b76e79';
-
-            let mergedCount;
-            try {
-              const result = await github.rest.search.issuesAndPullRequests({
-                q: `repo:${owner}/${repo} is:pr is:merged author:"${author}"`,
-                per_page: 1,
-              });
-              mergedCount = result?.data?.total_count;
-            } catch (error) {
-              if (error?.status !== 422) throw error;
-              core.warning(`Search failed for ${author}; skipping tier label.`);
-              return;
-            }
-
-            if (mergedCount == null) {
-              core.warning(`Search response missing total_count for ${author}; skipping tier label.`);
-              return;
-            }
-
-            const tierLabel = mergedCount >= TRUSTED_THRESHOLD ? 'trusted-contributor' : null;
-
-            if (tierLabel) {
-              try {
-                await github.rest.issues.getLabel({ owner, repo, name: tierLabel });
-              } catch (e) {
-                if (e.status !== 404) throw e;
-                try {
-                  await github.rest.issues.createLabel({ owner, repo, name: tierLabel, color: LABEL_COLOR });
-                } catch (createErr) {
-                  if (createErr.status !== 422) throw createErr;
-                }
-              }
-              await github.rest.issues.addLabels({
-                owner, repo, issue_number: prNumber, labels: [tierLabel],
-              });
-              console.log(`Applied '${tierLabel}' to PR #${prNumber} (${mergedCount} merged PRs)`);
-            } else {
-              console.log(`No tier label for ${author} (${mergedCount} merged PRs)`);
-            }
-
-      - name: Add external label
-        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v8
-        with:
-          # Use App token so the "labeled" event propagates to downstream
-          # workflows (e.g. require_issue_link.yml). Events created by the
-          # default GITHUB_TOKEN do not trigger additional workflow runs.
-          github-token: ${{ steps.app-token.outputs.token }}
-          script: |
-            const { owner, repo } = context.repo;
-            const issue_number = context.payload.pull_request.number;
-            await github.rest.issues.addLabels({
-              owner, repo, issue_number, labels: ['external'],
-            });
-            console.log(`Added 'external' label to PR #${issue_number}`);
-
-      - name: Add internal label
-        if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v8
-        with:
-          github-token: ${{ secrets.GITHUB_TOKEN }}
-          script: |
-            const { owner, repo } = context.repo;
-            const issue_number = context.payload.pull_request.number;
-            await github.rest.issues.addLabels({
-              owner, repo, issue_number, labels: ['internal'],
-            });
-            console.log(`Added 'internal' label to PR #${issue_number}`);

.github/workflows/uv_lock_ugprade.yml

@@ -19,16 +19,18 @@ jobs:
       - uses: actions/checkout@v6
       
       - name: Set up uv
-        uses: ./.github/actions/uv_setup
+        uses: astral-sh/setup-uv@v7
         with:
+          # use minimum supported Python version
           python-version: "3.10"
+          enable-cache: true
           cache-suffix: "uv-lock-upgrade"
           
       - name: Run uv lock --upgrade in all Python packages
         run: make lock-upgrade
           
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
+        uses: peter-evans/create-pull-request@v8
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
           commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"

.markdownlint.json

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

AGENTS.md

@@ -53,5 +53,3 @@ sdk-js (standalone)
 ```
 
 Changes to a library may impact all of its dependents shown above.
-
-- Do NOT use Sphinx-style double backtick formatting (` ``code`` `). Use single backticks (`` `code` ``) for inline code references in docstrings and comments.

CLAUDE.md

@@ -53,5 +53,3 @@ sdk-js (standalone)
 ```
 
 Changes to a library may impact all of its dependents shown above.
-
-- Do NOT use Sphinx-style double backtick formatting (` ``code`` `). Use single backticks (`` `code` ``) for inline code references in docstrings and comments.

README.md

@@ -1,81 +1,90 @@
-<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>
-
-<div align="center">
-  <h3>Low-level orchestration framework for building stateful agents.</h3>
-</div>
-
-<div align="center">
-  <a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
-  <a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
-  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
-  <a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
-</div>
+<picture class="github-only">
+  <source media="(prefers-color-scheme: light)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg">
+  <source media="(prefers-color-scheme: dark)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_light.svg">
+  <img alt="LangGraph Logo" src="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg" width="80%">
+</picture>
 
+<div>
 <br>
+</div>
+
+[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
+[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
+[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
+[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
 
 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
+## Get started
+
+Install LangGraph:
+
+```
 pip install -U langgraph
 ```
 
-If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
+Create a simple workflow:
+
+```python
+from langgraph.graph import START, StateGraph
+from typing_extensions import TypedDict
+
+
+class State(TypedDict):
+    text: str
+
+
+def node_a(state: State) -> dict:
+    return {"text": state["text"] + "a"}
+
+
+def node_b(state: State) -> dict:
+    return {"text": state["text"] + "b"}
+
+
+graph = StateGraph(State)
+graph.add_node("node_a", node_a)
+graph.add_node("node_b", node_b)
+graph.add_edge(START, "node_a")
+graph.add_edge("node_a", "node_b")
+
+print(graph.compile().invoke({"text": ""}))
+# {'text': 'ab'}
+```
+
+Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
+
+To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
+
+## Core benefits
+
+LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
+
+- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
+- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
+- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
+- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
+- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
+
+## LangGraph’s ecosystem
+
+While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
+
+- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
+- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://docs.langchain.com/oss/python/langgraph/studio).
+- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
 
 > [!NOTE]
-> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
-
-## Why use LangGraph?
-
-LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
-
-- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
-- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
-- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
-- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
-- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
-
-> [!TIP]
-> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
-
-## LangGraph ecosystem
-
-While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents.
-
-To improve your LLM application development, pair LangGraph with:
-
-- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
-- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
-- [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
-- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
-
----
-
-## Documentation
-
-- [docs.langchain.com](https://docs.langchain.com/oss/python/langgraph/overview) – Comprehensive documentation, including conceptual overviews and guides
-- [reference.langchain.com/python/langgraph](https://reference.langchain.com/python/langgraph) – API reference docs for LangGraph packages
-- [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart) – Get started building with LangGraph
-- [Chat LangChain](https://chat.langchain.com/) – Chat with the LangChain documentation and get answers to your questions
-
-**Discussions**: Visit the [LangChain Forum](https://forum.langchain.com) to connect with the community and share all of your technical questions, ideas, and feedback.
+> 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/learn)** – Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
-- **[LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph)** – Learn the basics of LangGraph in our free, structured course.
-- **[Case studies](https://www.langchain.com/built-with-langgraph)** – Hear how industry leaders use LangGraph to ship AI applications at scale.
-- [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview) – Learn how to contribute to LangChain projects and find good first issues.
-- [Code of Conduct](https://github.com/langchain-ai/langchain/?tab=coc-ov-file) – Our community guidelines and standards for participation.
-
----
+- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
+- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
+- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
+- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
+- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
 
 ## Acknowledgements
 

docs/.gitignore

@@ -1 +0,0 @@
-_site/

docs/generate_redirects.py

@@ -1,142 +0,0 @@
-#!/usr/bin/env python3
-"""
-Generate HTML redirect files from redirects.json.
-
-Usage:
-    python generate_redirects.py
-
-This script reads redirects.json and generates individual HTML files
-for each redirect path. Each HTML file uses meta refresh (0 delay)
-which is SEO-friendly and treated similarly to 301 redirects by Google.
-
-To add new redirects, simply edit redirects.json and re-run this script.
-"""
-
-import json
-import os
-from pathlib import Path
-
-# Default fallback URL for any path not in the redirect map
-DEFAULT_REDIRECT = "https://docs.langchain.com/oss/python/langgraph/overview"
-
-HTML_TEMPLATE = """<!doctype html>
-<html lang="en">
-<head>
-    <meta charset="utf-8">
-    <title>Redirecting...</title>
-    <link rel="canonical" href="{url}">
-    <meta name="robots" content="noindex">
-    <script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
-    <meta http-equiv="refresh" content="0; url={url}">
-</head>
-<body>
-Redirecting...
-</body>
-</html>
-"""
-
-ROOT_HTML_TEMPLATE = """<!doctype html>
-<html lang="en">
-<head>
-    <meta charset="utf-8">
-    <title>Redirecting to LangGraph Documentation</title>
-    <link rel="canonical" href="{url}">
-    <meta name="robots" content="noindex">
-    <script>var anchor=window.location.hash.substr(1);location.href="{url}"+(anchor?"#"+anchor:"")</script>
-    <meta http-equiv="refresh" content="0; url={url}">
-</head>
-<body>
-<h1>Documentation has moved</h1>
-<p>The LangGraph documentation has moved to <a href="{url}">docs.langchain.com</a>.</p>
-<p>Redirecting you now...</p>
-</body>
-</html>
-"""
-
-CATCHALL_404_TEMPLATE = """<!doctype html>
-<html lang="en">
-<head>
-    <meta charset="utf-8">
-    <title>Redirecting to LangGraph Documentation</title>
-    <link rel="canonical" href="{default_url}">
-    <meta name="robots" content="noindex">
-    <script>
-        // Catchall redirect for any unmapped paths
-        window.location.replace("{default_url}");
-    </script>
-    <meta http-equiv="refresh" content="0; url={default_url}">
-</head>
-<body>
-<h1>Documentation has moved</h1>
-<p>The LangGraph documentation has moved to <a href="{default_url}">docs.langchain.com</a>.</p>
-<p>Redirecting you now...</p>
-</body>
-</html>
-"""
-
-
-def generate_redirects():
-    script_dir = Path(__file__).parent
-    output_dir = script_dir / "_site"
-
-    # Load redirects
-    with open(script_dir / "redirects.json") as f:
-        redirects = json.load(f)
-
-    # Clean output directory
-    if output_dir.exists():
-        import shutil
-        shutil.rmtree(output_dir)
-    output_dir.mkdir(parents=True)
-
-    # Generate individual HTML files for each redirect
-    for old_path, new_url in redirects.items():
-        # Remove leading slash and create directory structure
-        path = old_path.lstrip("/")
-
-        # Check if path has a file extension (e.g., .txt, .xml)
-        # If so, create the file directly instead of a directory with index.html
-        path_obj = Path(path)
-        has_extension = path_obj.suffix and len(path_obj.suffix) <= 5
-
-        if not path:
-            html_path = output_dir / "index.html"
-        elif has_extension:
-            # For files with extensions, create the file directly
-            html_path = output_dir / path
-        else:
-            # For directory-style URLs, create index.html inside
-            html_path = output_dir / path / "index.html"
-
-        # Create parent directories
-        html_path.parent.mkdir(parents=True, exist_ok=True)
-
-        # Write the redirect HTML
-        html_path.write_text(HTML_TEMPLATE.format(url=new_url))
-        print(f"Created: {html_path}")
-
-    # Create root index.html
-    root_index = output_dir / "index.html"
-    if not root_index.exists():
-        root_index.write_text(ROOT_HTML_TEMPLATE.format(url=DEFAULT_REDIRECT))
-        print(f"Created: {root_index}")
-
-    # Create 404.html for catchall
-    catchall_404 = output_dir / "404.html"
-    catchall_404.write_text(CATCHALL_404_TEMPLATE.format(default_url=DEFAULT_REDIRECT))
-    print(f"Created: {catchall_404}")
-
-    # Copy static files (like llms.txt) that can't be redirected via HTML
-    static_files = ["llms.txt"]
-    for static_file in static_files:
-        src = script_dir / static_file
-        if src.exists():
-            dst = output_dir / static_file
-            dst.write_text(src.read_text())
-            print(f"Copied: {dst}")
-
-    print(f"\nGenerated {len(redirects)} redirect files in {output_dir}")
-
-
-if __name__ == "__main__":
-    generate_redirects()

docs/llms.txt

@@ -1,35 +0,0 @@
-# LangGraph
-
-LangGraph documentation has moved to docs.langchain.com.
-
-## Overview
-
-- [LangGraph Overview](https://docs.langchain.com/oss/python/langgraph/overview): Introduction to LangGraph, a library for building stateful, multi-actor applications with LLMs.
-- [Why LangGraph?](https://docs.langchain.com/oss/python/langgraph/why-langgraph): Motivation for LangGraph and its key features.
-
-## Core Concepts
-
-- [Graph API](https://docs.langchain.com/oss/python/langgraph/graph-api): Learn how to define state, create nodes, and connect them with edges.
-- [Streaming](https://docs.langchain.com/oss/python/langgraph/streaming): Stream outputs from your graph for better UX.
-- [Persistence](https://docs.langchain.com/oss/python/langgraph/persistence): Add memory and checkpointing to your graphs.
-- [Add Memory](https://docs.langchain.com/oss/python/langgraph/add-memory): Implement short-term and long-term memory.
-- [Workflows & Agents](https://docs.langchain.com/oss/python/langgraph/workflows-agents): Build agents and workflows with LangGraph.
-
-## How-To Guides
-
-- [Use Subgraphs](https://docs.langchain.com/oss/python/langgraph/use-subgraphs): Compose graphs using subgraphs.
-- [Observability](https://docs.langchain.com/oss/python/langgraph/observability): Add tracing and debugging to your graphs.
-- [Common Errors](https://docs.langchain.com/oss/python/langgraph/common-errors): Troubleshoot common LangGraph errors.
-
-## Tutorials
-
-- [Agentic RAG](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Build an agentic RAG system with LangGraph.
-- [SQL Agent](https://docs.langchain.com/oss/python/langgraph/sql-agent): Create a SQL agent with LangGraph.
-
-## Reference
-
-- [API Reference](https://reference.langchain.com/python/langgraph/): Complete API documentation for LangGraph.
-
-## LangGraph Platform
-
-For deploying LangGraph applications in production, see the [LangSmith documentation](https://docs.langchain.com/langsmith/agent-server).

docs/redirects.json

@@ -1,296 +0,0 @@
-{
-  "/how-tos/stream-values": "https://docs.langchain.com/oss/python/langgraph/streaming",
-  "/how-tos/stream-updates": "https://docs.langchain.com/oss/python/langgraph/streaming",
-  "/how-tos/streaming-content": "https://docs.langchain.com/oss/python/langgraph/streaming",
-  "/how-tos/stream-multiple": "https://docs.langchain.com/oss/python/langgraph/streaming",
-  "/how-tos/streaming-tokens-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
-  "/how-tos/streaming-from-final-node": "https://docs.langchain.com/oss/python/langgraph/streaming",
-  "/how-tos/streaming-events-from-within-tools-without-langchain": "https://docs.langchain.com/oss/python/langgraph/streaming",
-  "/how-tos/state-reducers": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-and-update-state",
-  "/how-tos/sequence": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-a-sequence-of-steps",
-  "/how-tos/branching": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-branches",
-  "/how-tos/recursion-limit": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-and-control-loops",
-  "/how-tos/visualization": "https://docs.langchain.com/oss/python/langgraph/graph-api#visualize-your-graph",
-  "/how-tos/input_output_schema": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-input-and-output-schemas",
-  "/how-tos/pass_private_state": "https://docs.langchain.com/oss/python/langgraph/graph-api#pass-private-state-between-nodes",
-  "/how-tos/state-model": "https://docs.langchain.com/oss/python/langgraph/graph-api#use-pydantic-models-for-graph-state",
-  "/how-tos/map-reduce": "https://docs.langchain.com/oss/python/langgraph/graph-api#map-reduce-and-the-send-api",
-  "/how-tos/command": "https://docs.langchain.com/oss/python/langgraph/graph-api#combine-control-flow-and-state-updates-with-command",
-  "/how-tos/configuration": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-runtime-configuration",
-  "/how-tos/node-retries": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-retry-policies",
-  "/how-tos/return-when-recursion-limit-hits": "https://docs.langchain.com/oss/python/langgraph/graph-api#impose-a-recursion-limit",
-  "/how-tos/async": "https://docs.langchain.com/oss/python/langgraph/graph-api#async",
-  "/how-tos/memory/manage-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-  "/how-tos/memory/delete-messages": "https://docs.langchain.com/oss/python/langgraph/add-memory#delete-messages",
-  "/how-tos/memory/add-summary-conversation-history": "https://docs.langchain.com/oss/python/langgraph/add-memory#summarize-messages",
-  "/how-tos/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-  "/agents/memory": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-  "/how-tos/subgraph-transform-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#different-state-schemas",
-  "/how-tos/subgraphs-manage-state": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#add-persistence",
-  "/how-tos/persistence_postgres": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
-  "/how-tos/persistence_mongodb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
-  "/how-tos/persistence_redis": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
-  "/how-tos/subgraph-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-with-subgraphs",
-  "/how-tos/cross-thread-persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory#add-long-term-memory",
-  "/cloud/how-tos/copy_threads": "https://docs.langchain.com/langsmith/use-threads",
-  "/cloud/how-tos/check-thread-status": "https://docs.langchain.com/langsmith/use-threads",
-  "/cloud/concepts/threads": "https://docs.langchain.com/oss/python/langgraph/persistence#threads",
-  "/how-tos/persistence": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-  "/how-tos/tool-calling-errors": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
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-  "/how-tos/persistence-functional": "https://docs.langchain.com/oss/python/langgraph/add-memory",
-  "/how-tos/react-agent-from-scratch-functional": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
-  "/reference": "https://reference.langchain.com/python/langgraph/",
-  "/troubleshooting/errors": "https://docs.langchain.com/oss/python/langgraph/common-errors",
-  "/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/chatbots/information-gather-prompting": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/extraction/retries": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/langgraph-platform/local-server": "https://docs.langchain.com/langsmith/agent-server",
-  "/tutorials/lats/lats": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/llm-compiler/LLMCompiler": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/rag/langgraph_adaptive_rag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
-  "/tutorials/rag/langgraph_crag": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
-  "/tutorials/rag/langgraph_crag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
-  "/tutorials/rag/langgraph_self_rag_local": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
-  "/tutorials/reflection/reflection": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/reflexion/reflexion": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/rewoo/rewoo": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/self-discover/self-discover": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/tnt-llm/tnt-llm": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/tot/tot": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/usaco/usaco": "https://docs.langchain.com/oss/python/langgraph/overview",
-  "/tutorials/web-navigation/web_voyager": "https://docs.langchain.com/oss/python/langgraph/overview"
-}

examples/README.md

@@ -1,3 +1,3 @@
 # LangGraph examples
 
-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.
+This directory should NOT be used for documentation. All new documentation must be added to `docs/docs/` directory.

examples/async.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "23544406",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/async.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/branching.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "14f7ca50",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/branching.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb

@@ -5,15 +5,7 @@
    "id": "10251c1c",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "c5fc63df",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbot-simulation-evaluation/agent-simulation-evaluation.ipynb"
    ]
   }
  ],

examples/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb

@@ -5,15 +5,7 @@
    "id": "a4351a24",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4cc9af1e",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb"
    ]
   }
  ],

examples/chatbots/information-gather-prompting.ipynb

@@ -5,15 +5,7 @@
    "id": "a9014f94",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/chatbots/information-gather-prompting.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "f47ce992",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/chatbots/information-gather-prompting.ipynb"
    ]
   }
  ],

examples/cloud_examples/langgraph_to_langgraph_cloud.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2b789e16",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/cloud/how-tos/langgraph_to_langgraph_cloud.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/code_assistant/langgraph_code_assistant.ipynb

@@ -5,15 +5,7 @@
    "id": "1f2f13ca",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/code_assistant/langgraph_code_assistant.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "5e4c9bfe",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/code_assistant/langgraph_code_assistant.ipynb"
    ]
   }
  ],

examples/code_assistant/langgraph_code_assistant_mistral.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "1d38cbab",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "15d3ac32-cdf3-4800-a30c-f26d828d69c8.png": {
@@ -41,9 +33,7 @@
    "id": "e501686f-323f-4b87-8f9c-8ba89133078b",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "! pip install -U langchain_community langchain-mistralai langchain langgraph"
-   ]
+   "source": ["! pip install -U langchain_community langchain-mistralai langchain langgraph"]
   },
   {
    "cell_type": "markdown",
@@ -61,12 +51,7 @@
    "id": "982e4609-86e4-4934-828f-e03d89c20393",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import os\n",
-    "\n",
-    "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"true\"\n",
-    "mistral_api_key = os.getenv(\"MISTRAL_API_KEY\")  # Ensure this is set"
-   ]
+   "source": ["import os\n\nos.environ[\"TOKENIZERS_PARALLELISM\"] = \"true\"\nmistral_api_key = os.getenv(\"MISTRAL_API_KEY\")  # Ensure this is set"]
   },
   {
    "cell_type": "markdown",
@@ -84,12 +69,7 @@
    "id": "37b172d2-3a9d-49a8-898c-22ed0cb45c88",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
-    "os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.smith.langchain.com\"\n",
-    "os.environ[\"LANGCHAIN_API_KEY\"] = \"<your-api-key>\"\n",
-    "os.environ[\"LANGCHAIN_PROJECT\"] = \"Mistral-code-gen-testing\""
-   ]
+   "source": ["os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\nos.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.smith.langchain.com\"\nos.environ[\"LANGCHAIN_API_KEY\"] = \"<your-api-key>\"\nos.environ[\"LANGCHAIN_PROJECT\"] = \"Mistral-code-gen-testing\""]
   },
   {
    "cell_type": "markdown",
@@ -107,42 +87,7 @@
    "id": "a188c8ca-c053-4e6d-b7af-38a3b6b371c7",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "# Select LLM\n",
-    "from langchain_core.prompts import ChatPromptTemplate\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
-    "from langchain_mistralai import ChatMistralAI\n",
-    "\n",
-    "mistral_model = \"mistral-large-latest\"\n",
-    "llm = ChatMistralAI(model=mistral_model, temperature=0)\n",
-    "\n",
-    "# Prompt\n",
-    "code_gen_prompt_claude = ChatPromptTemplate.from_messages(\n",
-    "    [\n",
-    "        (\n",
-    "            \"system\",\n",
-    "            \"\"\"You are a coding assistant. Ensure any code you provide can be executed with all required imports and variables \\n\n",
-    "            defined. Structure your answer: 1) a prefix describing the code solution, 2) the imports, 3) the functioning code block.\n",
-    "            \\n Here is the user question:\"\"\",\n",
-    "        ),\n",
-    "        (\"placeholder\", \"{messages}\"),\n",
-    "    ]\n",
-    ")\n",
-    "\n",
-    "\n",
-    "# Data model\n",
-    "class code(BaseModel):\n",
-    "    \"\"\"Code output\"\"\"\n",
-    "\n",
-    "    prefix: str = Field(description=\"Description of the problem and approach\")\n",
-    "    imports: str = Field(description=\"Code block import statements\")\n",
-    "    code: str = Field(description=\"Code block not including import statements\")\n",
-    "    description = \"Schema for code solutions to questions about LCEL.\"\n",
-    "\n",
-    "\n",
-    "# LLM\n",
-    "code_gen_chain = llm.with_structured_output(code, include_raw=False)"
-   ]
+   "source": ["# Select LLM\nfrom langchain_core.prompts import ChatPromptTemplate\nfrom langchain_core.pydantic_v1 import BaseModel, Field\nfrom langchain_mistralai import ChatMistralAI\n\nmistral_model = \"mistral-large-latest\"\nllm = ChatMistralAI(model=mistral_model, temperature=0)\n\n# Prompt\ncode_gen_prompt_claude = ChatPromptTemplate.from_messages(\n    [\n        (\n            \"system\",\n            \"\"\"You are a coding assistant. Ensure any code you provide can be executed with all required imports and variables \\n\n            defined. Structure your answer: 1) a prefix describing the code solution, 2) the imports, 3) the functioning code block.\n            \\n Here is the user question:\"\"\",\n        ),\n        (\"placeholder\", \"{messages}\"),\n    ]\n)\n\n\n# Data model\nclass code(BaseModel):\n    \"\"\"Code output\"\"\"\n\n    prefix: str = Field(description=\"Description of the problem and approach\")\n    imports: str = Field(description=\"Code block import statements\")\n    code: str = Field(description=\"Code block not including import statements\")\n    description = \"Schema for code solutions to questions about LCEL.\"\n\n\n# LLM\ncode_gen_chain = llm.with_structured_output(code, include_raw=False)"]
   },
   {
    "cell_type": "code",
@@ -150,10 +95,7 @@
    "id": "9fc0290d-5a04-4514-8664-91f9dbf2da7b",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "question = \"Write a function for fibonacci.\"\n",
-    "messages = [(\"user\", question)]"
-   ]
+   "source": ["question = \"Write a function for fibonacci.\"\nmessages = [(\"user\", question)]"]
   },
   {
    "cell_type": "code",
@@ -172,11 +114,7 @@
      "output_type": "execute_result"
     }
    ],
-   "source": [
-    "# Test\n",
-    "result = code_gen_chain.invoke(messages)\n",
-    "result"
-   ]
+   "source": ["# Test\nresult = code_gen_chain.invoke(messages)\nresult"]
   },
   {
    "cell_type": "markdown",
@@ -192,28 +130,7 @@
    "id": "183d77b8-f180-4815-b39f-8ef507ec0534",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "from typing import Annotated, TypedDict\n",
-    "\n",
-    "from langgraph.graph.message import AnyMessage, add_messages\n",
-    "\n",
-    "\n",
-    "class GraphState(TypedDict):\n",
-    "    \"\"\"\n",
-    "    Represents the state of our graph.\n",
-    "\n",
-    "    Attributes:\n",
-    "        error : Binary flag for control flow to indicate whether test error was tripped\n",
-    "        messages : With user question, error messages, reasoning\n",
-    "        generation : Code solution\n",
-    "        iterations : Number of tries\n",
-    "    \"\"\"\n",
-    "\n",
-    "    error: str\n",
-    "    messages: Annotated[list[AnyMessage], add_messages]\n",
-    "    generation: str\n",
-    "    iterations: int"
-   ]
+   "source": ["from typing import Annotated, TypedDict\n\nfrom langgraph.graph.message import AnyMessage, add_messages\n\n\nclass GraphState(TypedDict):\n    \"\"\"\n    Represents the state of our graph.\n\n    Attributes:\n        error : Binary flag for control flow to indicate whether test error was tripped\n        messages : With user question, error messages, reasoning\n        generation : Code solution\n        iterations : Number of tries\n    \"\"\"\n\n    error: str\n    messages: Annotated[list[AnyMessage], add_messages]\n    generation: str\n    iterations: int"]
   },
   {
    "cell_type": "markdown",
@@ -229,163 +146,7 @@
    "id": "14bc89d1-3ca6-4847-a048-1803e0e4600e",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import uuid\n",
-    "\n",
-    "from langchain_core.pydantic_v1 import BaseModel, Field\n",
-    "\n",
-    "### Parameters\n",
-    "max_iterations = 3\n",
-    "\n",
-    "\n",
-    "### Nodes\n",
-    "def generate(state: GraphState):\n",
-    "    \"\"\"\n",
-    "    Generate a code solution\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        state (dict): New key added to state, generation\n",
-    "    \"\"\"\n",
-    "\n",
-    "    print(\"---GENERATING CODE SOLUTION---\")\n",
-    "\n",
-    "    # State\n",
-    "    messages = state[\"messages\"]\n",
-    "    iterations = state[\"iterations\"]\n",
-    "\n",
-    "    # Solution\n",
-    "    code_solution = code_gen_chain.invoke(messages)\n",
-    "    messages += [\n",
-    "        (\n",
-    "            \"assistant\",\n",
-    "            f\"Here is my attempt to solve the problem: {code_solution.prefix} \\n Imports: {code_solution.imports} \\n Code: {code_solution.code}\",\n",
-    "        )\n",
-    "    ]\n",
-    "\n",
-    "    # Increment\n",
-    "    iterations = iterations + 1\n",
-    "    return {\"generation\": code_solution, \"messages\": messages, \"iterations\": iterations}\n",
-    "\n",
-    "\n",
-    "def code_check(state: GraphState):\n",
-    "    \"\"\"\n",
-    "    Check code\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        state (dict): New key added to state, error\n",
-    "    \"\"\"\n",
-    "\n",
-    "    print(\"---CHECKING CODE---\")\n",
-    "\n",
-    "    # State\n",
-    "    messages = state[\"messages\"]\n",
-    "    code_solution = state[\"generation\"]\n",
-    "    iterations = state[\"iterations\"]\n",
-    "\n",
-    "    # Get solution components\n",
-    "    imports = code_solution.imports\n",
-    "    code = code_solution.code\n",
-    "\n",
-    "    # Check imports\n",
-    "    try:\n",
-    "        exec(imports)\n",
-    "    except Exception as e:\n",
-    "        print(\"---CODE IMPORT CHECK: FAILED---\")\n",
-    "        error_message = [\n",
-    "            (\n",
-    "                \"user\",\n",
-    "                f\"Your solution failed the import test. Here is the error: {e}. Reflect on this error and your prior attempt to solve the problem. (1) State what you think went wrong with the prior solution and (2) try to solve this problem again. Return the FULL SOLUTION. Use the code tool to structure the output with a prefix, imports, and code block:\",\n",
-    "            )\n",
-    "        ]\n",
-    "        messages += error_message\n",
-    "        return {\n",
-    "            \"generation\": code_solution,\n",
-    "            \"messages\": messages,\n",
-    "            \"iterations\": iterations,\n",
-    "            \"error\": \"yes\",\n",
-    "        }\n",
-    "\n",
-    "    # Check execution\n",
-    "    try:\n",
-    "        combined_code = f\"{imports}\\n{code}\"\n",
-    "        print(f\"CODE TO TEST: {combined_code}\")\n",
-    "        # Use a shared scope for exec\n",
-    "        global_scope = {}\n",
-    "        exec(combined_code, global_scope)\n",
-    "    except Exception as e:\n",
-    "        print(\"---CODE BLOCK CHECK: FAILED---\")\n",
-    "        error_message = [\n",
-    "            (\n",
-    "                \"user\",\n",
-    "                f\"Your solution failed the code execution test: {e}) Reflect on this error and your prior attempt to solve the problem. (1) State what you think went wrong with the prior solution and (2) try to solve this problem again. Return the FULL SOLUTION. Use the code tool to structure the output with a prefix, imports, and code block:\",\n",
-    "            )\n",
-    "        ]\n",
-    "        messages += error_message\n",
-    "        return {\n",
-    "            \"generation\": code_solution,\n",
-    "            \"messages\": messages,\n",
-    "            \"iterations\": iterations,\n",
-    "            \"error\": \"yes\",\n",
-    "        }\n",
-    "\n",
-    "    # No errors\n",
-    "    print(\"---NO CODE TEST FAILURES---\")\n",
-    "    return {\n",
-    "        \"generation\": code_solution,\n",
-    "        \"messages\": messages,\n",
-    "        \"iterations\": iterations,\n",
-    "        \"error\": \"no\",\n",
-    "    }\n",
-    "\n",
-    "\n",
-    "### Conditional edges\n",
-    "\n",
-    "\n",
-    "def decide_to_finish(state: GraphState):\n",
-    "    \"\"\"\n",
-    "    Determines whether to finish.\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        str: Next node to call\n",
-    "    \"\"\"\n",
-    "    error = state[\"error\"]\n",
-    "    iterations = state[\"iterations\"]\n",
-    "\n",
-    "    if error == \"no\" or iterations == max_iterations:\n",
-    "        print(\"---DECISION: FINISH---\")\n",
-    "        return \"end\"\n",
-    "    else:\n",
-    "        print(\"---DECISION: RE-TRY SOLUTION---\")\n",
-    "        return \"generate\"\n",
-    "\n",
-    "\n",
-    "### Utilities\n",
-    "\n",
-    "\n",
-    "def _print_event(event: dict, _printed: set, max_length=1500):\n",
-    "    current_state = event.get(\"dialog_state\")\n",
-    "    if current_state:\n",
-    "        print(\"Currently in: \", current_state[-1])\n",
-    "    message = event.get(\"messages\")\n",
-    "    if message:\n",
-    "        if isinstance(message, list):\n",
-    "            message = message[-1]\n",
-    "        if message.id not in _printed:\n",
-    "            msg_repr = message.pretty_repr(html=True)\n",
-    "            if len(msg_repr) > max_length:\n",
-    "                msg_repr = msg_repr[:max_length] + \" ... (truncated)\"\n",
-    "            print(msg_repr)\n",
-    "            _printed.add(message.id)"
-   ]
+   "source": ["import uuid\n\nfrom langchain_core.pydantic_v1 import BaseModel, Field\n\n### Parameters\nmax_iterations = 3\n\n\n### Nodes\ndef generate(state: GraphState):\n    \"\"\"\n    Generate a code solution\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        state (dict): New key added to state, generation\n    \"\"\"\n\n    print(\"---GENERATING CODE SOLUTION---\")\n\n    # State\n    messages = state[\"messages\"]\n    iterations = state[\"iterations\"]\n\n    # Solution\n    code_solution = code_gen_chain.invoke(messages)\n    messages += [\n        (\n            \"assistant\",\n            f\"Here is my attempt to solve the problem: {code_solution.prefix} \\n Imports: {code_solution.imports} \\n Code: {code_solution.code}\",\n        )\n    ]\n\n    # Increment\n    iterations = iterations + 1\n    return {\"generation\": code_solution, \"messages\": messages, \"iterations\": iterations}\n\n\ndef code_check(state: GraphState):\n    \"\"\"\n    Check code\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        state (dict): New key added to state, error\n    \"\"\"\n\n    print(\"---CHECKING CODE---\")\n\n    # State\n    messages = state[\"messages\"]\n    code_solution = state[\"generation\"]\n    iterations = state[\"iterations\"]\n\n    # Get solution components\n    imports = code_solution.imports\n    code = code_solution.code\n\n    # Check imports\n    try:\n        exec(imports)\n    except Exception as e:\n        print(\"---CODE IMPORT CHECK: FAILED---\")\n        error_message = [\n            (\n                \"user\",\n                f\"Your solution failed the import test. Here is the error: {e}. Reflect on this error and your prior attempt to solve the problem. (1) State what you think went wrong with the prior solution and (2) try to solve this problem again. Return the FULL SOLUTION. Use the code tool to structure the output with a prefix, imports, and code block:\",\n            )\n        ]\n        messages += error_message\n        return {\n            \"generation\": code_solution,\n            \"messages\": messages,\n            \"iterations\": iterations,\n            \"error\": \"yes\",\n        }\n\n    # Check execution\n    try:\n        combined_code = f\"{imports}\\n{code}\"\n        print(f\"CODE TO TEST: {combined_code}\")\n        # Use a shared scope for exec\n        global_scope = {}\n        exec(combined_code, global_scope)\n    except Exception as e:\n        print(\"---CODE BLOCK CHECK: FAILED---\")\n        error_message = [\n            (\n                \"user\",\n                f\"Your solution failed the code execution test: {e}) Reflect on this error and your prior attempt to solve the problem. (1) State what you think went wrong with the prior solution and (2) try to solve this problem again. Return the FULL SOLUTION. Use the code tool to structure the output with a prefix, imports, and code block:\",\n            )\n        ]\n        messages += error_message\n        return {\n            \"generation\": code_solution,\n            \"messages\": messages,\n            \"iterations\": iterations,\n            \"error\": \"yes\",\n        }\n\n    # No errors\n    print(\"---NO CODE TEST FAILURES---\")\n    return {\n        \"generation\": code_solution,\n        \"messages\": messages,\n        \"iterations\": iterations,\n        \"error\": \"no\",\n    }\n\n\n### Conditional edges\n\n\ndef decide_to_finish(state: GraphState):\n    \"\"\"\n    Determines whether to finish.\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        str: Next node to call\n    \"\"\"\n    error = state[\"error\"]\n    iterations = state[\"iterations\"]\n\n    if error == \"no\" or iterations == max_iterations:\n        print(\"---DECISION: FINISH---\")\n        return \"end\"\n    else:\n        print(\"---DECISION: RE-TRY SOLUTION---\")\n        return \"generate\"\n\n\n### Utilities\n\n\ndef _print_event(event: dict, _printed: set, max_length=1500):\n    current_state = event.get(\"dialog_state\")\n    if current_state:\n        print(\"Currently in: \", current_state[-1])\n    message = event.get(\"messages\")\n    if message:\n        if isinstance(message, list):\n            message = message[-1]\n        if message.id not in _printed:\n            msg_repr = message.pretty_repr(html=True)\n            if len(msg_repr) > max_length:\n                msg_repr = msg_repr[:max_length] + \" ... (truncated)\"\n            print(msg_repr)\n            _printed.add(message.id)"]
   },
   {
    "cell_type": "code",
@@ -393,31 +154,7 @@
    "id": "2dff2209-44c7-4e2c-b607-ba6675f9e45f",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "from langgraph.checkpoint.memory import InMemorySaver\n",
-    "from langgraph.graph import END, StateGraph, START\n",
-    "\n",
-    "builder = StateGraph(GraphState)\n",
-    "\n",
-    "# Define the nodes\n",
-    "builder.add_node(\"generate\", generate)  # generation solution\n",
-    "builder.add_node(\"check_code\", code_check)  # check code\n",
-    "\n",
-    "# Build graph\n",
-    "builder.add_edge(START, \"generate\")\n",
-    "builder.add_edge(\"generate\", \"check_code\")\n",
-    "builder.add_conditional_edges(\n",
-    "    \"check_code\",\n",
-    "    decide_to_finish,\n",
-    "    {\n",
-    "        \"end\": END,\n",
-    "        \"generate\": \"generate\",\n",
-    "    },\n",
-    ")\n",
-    "\n",
-    "memory = InMemorySaver()\n",
-    "graph = builder.compile(checkpointer=memory)"
-   ]
+   "source": ["from langgraph.checkpoint.memory import InMemorySaver\nfrom langgraph.graph import END, StateGraph, START\n\nbuilder = StateGraph(GraphState)\n\n# Define the nodes\nbuilder.add_node(\"generate\", generate)  # generation solution\nbuilder.add_node(\"check_code\", code_check)  # check code\n\n# Build graph\nbuilder.add_edge(START, \"generate\")\nbuilder.add_edge(\"generate\", \"check_code\")\nbuilder.add_conditional_edges(\n    \"check_code\",\n    decide_to_finish,\n    {\n        \"end\": END,\n        \"generate\": \"generate\",\n    },\n)\n\nmemory = InMemorySaver()\ngraph = builder.compile(checkpointer=memory)"]
   },
   {
    "cell_type": "code",
@@ -436,15 +173,7 @@
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "from IPython.display import Image, display\n",
-    "\n",
-    "try:\n",
-    "    display(Image(graph.get_graph(xray=True).draw_mermaid_png()))\n",
-    "except Exception:\n",
-    "    # This requires some extra dependencies and is optional\n",
-    "    pass"
-   ]
+   "source": ["from IPython.display import Image, display\n\ntry:\n    display(Image(graph.get_graph(xray=True).draw_mermaid_png()))\nexcept Exception:\n    # This requires some extra dependencies and is optional\n    pass"]
   },
   {
    "cell_type": "code",
@@ -452,23 +181,7 @@
    "id": "242aa2f0-2c31-462f-a958-ff9ae0cf7c62",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "_printed = set()\n",
-    "thread_id = str(uuid.uuid4())\n",
-    "config = {\n",
-    "    \"configurable\": {\n",
-    "        # Checkpoints are accessed by thread_id\n",
-    "        \"thread_id\": thread_id,\n",
-    "    }\n",
-    "}\n",
-    "\n",
-    "question = \"Write a Python program that prints 'Hello, World!' to the console.\"\n",
-    "events = graph.stream(\n",
-    "    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n",
-    ")\n",
-    "for event in events:\n",
-    "    _print_event(event, _printed)"
-   ]
+   "source": ["_printed = set()\nthread_id = str(uuid.uuid4())\nconfig = {\n    \"configurable\": {\n        # Checkpoints are accessed by thread_id\n        \"thread_id\": thread_id,\n    }\n}\n\nquestion = \"Write a Python program that prints 'Hello, World!' to the console.\"\nevents = graph.stream(\n    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n)\nfor event in events:\n    _print_event(event, _printed)"]
   },
   {
    "cell_type": "markdown",
@@ -486,31 +199,7 @@
    "id": "390b2768-f395-4aea-8b0e-9d36212a31ac",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "_printed = set()\n",
-    "thread_id = str(uuid.uuid4())\n",
-    "config = {\n",
-    "    \"configurable\": {\n",
-    "        # Checkpoints are accessed by thread_id\n",
-    "        \"thread_id\": thread_id,\n",
-    "    }\n",
-    "}\n",
-    "\n",
-    "question = \"\"\"Create a Python program that checks if a given string is a palindrome. A palindrome is a word, phrase, number, or other sequence of characters that reads the same forward and backward (ignoring spaces, punctuation, and capitalization).\n",
-    "\n",
-    "Requirements:\n",
-    "The program should define a function is_palindrome(s) that takes a string s as input.\n",
-    "The function should return True if the string is a palindrome and False otherwise.\n",
-    "Ignore spaces, punctuation, and case differences when checking for palindromes.\n",
-    "\n",
-    "Give an example of it working on an example input word.\"\"\"\n",
-    "\n",
-    "events = graph.stream(\n",
-    "    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n",
-    ")\n",
-    "for event in events:\n",
-    "    _print_event(event, _printed)"
-   ]
+   "source": ["_printed = set()\nthread_id = str(uuid.uuid4())\nconfig = {\n    \"configurable\": {\n        # Checkpoints are accessed by thread_id\n        \"thread_id\": thread_id,\n    }\n}\n\nquestion = \"\"\"Create a Python program that checks if a given string is a palindrome. A palindrome is a word, phrase, number, or other sequence of characters that reads the same forward and backward (ignoring spaces, punctuation, and capitalization).\n\nRequirements:\nThe program should define a function is_palindrome(s) that takes a string s as input.\nThe function should return True if the string is a palindrome and False otherwise.\nIgnore spaces, punctuation, and case differences when checking for palindromes.\n\nGive an example of it working on an example input word.\"\"\"\n\nevents = graph.stream(\n    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n)\nfor event in events:\n    _print_event(event, _printed)"]
   },
   {
    "cell_type": "markdown",
@@ -528,26 +217,7 @@
    "id": "0a3f946b-e2f2-44d9-905b-09f36980cf9f",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "_printed = set()\n",
-    "thread_id = str(uuid.uuid4())\n",
-    "config = {\n",
-    "    \"configurable\": {\n",
-    "        # Checkpoints are accessed by thread_id\n",
-    "        \"thread_id\": thread_id,\n",
-    "    }\n",
-    "}\n",
-    "\n",
-    "question = \"\"\"Write a program that prints the numbers from 1 to 100. \n",
-    "But for multiples of three, print \"Fizz\" instead of the number, and for the multiples of five, print \"Buzz\". \n",
-    "For numbers which are multiples of both three and five, print \"FizzBuzz\".\"\"\"\n",
-    "\n",
-    "events = graph.stream(\n",
-    "    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n",
-    ")\n",
-    "for event in events:\n",
-    "    _print_event(event, _printed)"
-   ]
+   "source": ["_printed = set()\nthread_id = str(uuid.uuid4())\nconfig = {\n    \"configurable\": {\n        # Checkpoints are accessed by thread_id\n        \"thread_id\": thread_id,\n    }\n}\n\nquestion = \"\"\"Write a program that prints the numbers from 1 to 100. \nBut for multiples of three, print \"Fizz\" instead of the number, and for the multiples of five, print \"Buzz\". \nFor numbers which are multiples of both three and five, print \"FizzBuzz\".\"\"\"\n\nevents = graph.stream(\n    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n)\nfor event in events:\n    _print_event(event, _printed)"]
   },
   {
    "cell_type": "markdown",
@@ -565,37 +235,7 @@
    "id": "2bb883df-540b-46ab-9415-fe27db68456f",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "import uuid\n",
-    "\n",
-    "_printed = set()\n",
-    "thread_id = str(uuid.uuid4())\n",
-    "config = {\n",
-    "    \"configurable\": {\n",
-    "        # Checkpoints are accessed by thread_id\n",
-    "        \"thread_id\": thread_id,\n",
-    "    }\n",
-    "}\n",
-    "\n",
-    "question = \"\"\"I want to vectorize a function\n",
-    "\n",
-    "        frame = np.zeros((out_h, out_w, 3), dtype=np.uint8)\n",
-    "        for i, val1 in enumerate(rows):\n",
-    "            for j, val2 in enumerate(cols):\n",
-    "                for j, val3 in enumerate(ch):\n",
-    "                    # Assuming you want to store the pair as tuples in the matrix\n",
-    "                    frame[i, j, k] = image[val1, val2, val3]\n",
-    "\n",
-    "        out.write(np.array(frame))\n",
-    "\n",
-    "with a simple numpy function that does something like this what is it called. Show me a test case with this working.\"\"\"\n",
-    "\n",
-    "events = graph.stream(\n",
-    "    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n",
-    ")\n",
-    "for event in events:\n",
-    "    _print_event(event, _printed)"
-   ]
+   "source": ["import uuid\n\n_printed = set()\nthread_id = str(uuid.uuid4())\nconfig = {\n    \"configurable\": {\n        # Checkpoints are accessed by thread_id\n        \"thread_id\": thread_id,\n    }\n}\n\nquestion = \"\"\"I want to vectorize a function\n\n        frame = np.zeros((out_h, out_w, 3), dtype=np.uint8)\n        for i, val1 in enumerate(rows):\n            for j, val2 in enumerate(cols):\n                for j, val3 in enumerate(ch):\n                    # Assuming you want to store the pair as tuples in the matrix\n                    frame[i, j, k] = image[val1, val2, val3]\n\n        out.write(np.array(frame))\n\nwith a simple numpy function that does something like this what is it called. Show me a test case with this working.\"\"\"\n\nevents = graph.stream(\n    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n)\nfor event in events:\n    _print_event(event, _printed)"]
   },
   {
    "cell_type": "markdown",
@@ -613,34 +253,7 @@
    "id": "ee05da1f-c272-405d-8a7b-552cfc3106e1",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "_printed = set()\n",
-    "thread_id = str(uuid.uuid4())\n",
-    "config = {\n",
-    "    \"configurable\": {\n",
-    "        # Checkpoints are accessed by thread_id\n",
-    "        \"thread_id\": thread_id,\n",
-    "    }\n",
-    "}\n",
-    "\n",
-    "question = \"\"\"Create a Python program that allows two players to play a game of Tic-Tac-Toe. The game should be played on a 3x3 grid. The program should:\n",
-    "\n",
-    "- Allow players to take turns to input their moves.\n",
-    "- Check for invalid moves (e.g., placing a marker on an already occupied space).\n",
-    "- Determine and announce the winner or if the game ends in a draw.\n",
-    "\n",
-    "Requirements:\n",
-    "- Use a 2D list to represent the Tic-Tac-Toe board.\n",
-    "- Use functions to modularize the code.\n",
-    "- Validate player input.\n",
-    "- Check for win conditions and draw conditions after each move.\"\"\"\n",
-    "\n",
-    "events = graph.stream(\n",
-    "    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n",
-    ")\n",
-    "for event in events:\n",
-    "    _print_event(event, _printed)"
-   ]
+   "source": ["_printed = set()\nthread_id = str(uuid.uuid4())\nconfig = {\n    \"configurable\": {\n        # Checkpoints are accessed by thread_id\n        \"thread_id\": thread_id,\n    }\n}\n\nquestion = \"\"\"Create a Python program that allows two players to play a game of Tic-Tac-Toe. The game should be played on a 3x3 grid. The program should:\n\n- Allow players to take turns to input their moves.\n- Check for invalid moves (e.g., placing a marker on an already occupied space).\n- Determine and announce the winner or if the game ends in a draw.\n\nRequirements:\n- Use a 2D list to represent the Tic-Tac-Toe board.\n- Use functions to modularize the code.\n- Validate player input.\n- Check for win conditions and draw conditions after each move.\"\"\"\n\nevents = graph.stream(\n    {\"messages\": [(\"user\", question)], \"iterations\": 0}, config, stream_mode=\"values\"\n)\nfor event in events:\n    _print_event(event, _printed)"]
   },
   {
    "cell_type": "markdown",
@@ -658,7 +271,7 @@
    "id": "814fc2a4-8e5b-4faa-8f52-3977226bd09a",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [""]
   }
  ],
  "metadata": {

examples/configuration.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e9a58c69",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/configuration.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/create-react-agent-hitl.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "a1e6efeb",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/create-react-agent-hitl.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/create-react-agent-memory.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "1ef41a89",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/create-react-agent-memory.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/create-react-agent-system-prompt.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "9e2f7902",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/create-react-agent-system-prompt.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/create-react-agent.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "eb07372e",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/create-react-agent.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/customer-support/customer-support.ipynb

@@ -5,15 +5,7 @@
    "id": "a8232bc9",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/customer-support/customer-support.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "63da8671",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/customer-support/customer-support.ipynb"
    ]
   }
  ],

examples/extraction/retries.ipynb

@@ -5,15 +5,7 @@
    "id": "8dbdba5b",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/extraction/retries.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1d444b7f",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/extraction/retries.ipynb"
    ]
   }
  ],

examples/human_in_the_loop/wait-user-input.ipynb

@@ -5,15 +5,7 @@
    "id": "3ecab357",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3f2866bd",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/human_in_the_loop/wait-user-input.ipynb"
    ]
   }
  ],

examples/input_output_schema.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fc0793cb",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/input_output_schema.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/lats/lats.ipynb

@@ -5,15 +5,7 @@
    "id": "09038b53",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/lats/lats.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b1669748",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/lats/lats.ipynb"
    ]
   }
  ],

examples/llm-compiler/LLMCompiler.ipynb

@@ -5,15 +5,7 @@
    "id": "85205e97",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "2fdab366",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb"
    ]
   }
  ],

examples/map-reduce.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "42abb708",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/map-reduce.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/memory/add-summary-conversation-history.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "298784f6",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/memory/add-summary-conversation-history.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/memory/delete-messages.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3f4370fd",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/memory/delete-messages.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/memory/manage-conversation-history.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6ec7cb13",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/memory/manage-conversation-history.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/multi_agent/hierarchical_agent_teams.ipynb

@@ -5,15 +5,7 @@
    "id": "5cc8a2ad",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "b9f3508a",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb"
    ]
   }
  ],

examples/multi_agent/multi-agent-collaboration.ipynb

@@ -5,15 +5,7 @@
    "id": "d2b507b9",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "41a8f10a",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/multi_agent/multi-agent-collaboration.ipynb"
    ]
   }
  ],

examples/node-retries.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "017a01f4",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/node-retries.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "env",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

examples/pass-config-to-tools.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "05f6ad0a",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/pass-config-to-tools.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

examples/pass-run-time-values-to-tools.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8f38bec5",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/pass-run-time-values-to-tools.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/pass_private_state.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4da17088",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/pass_private_state.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/persistence.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d16e8b9c",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/memory/add-memory.md."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/persistence_mongodb.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "78217098",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/persistence_mongodb.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/persistence_postgres.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "18526f23",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/memory/add-memory.md"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/persistence_redis.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "eee6ecdd",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/persistence_redis.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/plan-and-execute/plan-and-execute.ipynb

@@ -5,15 +5,7 @@
    "id": "9138f92e",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "093678ba",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/plan-and-execute/plan-and-execute.ipynb"
    ]
   }
  ],

examples/rag/langgraph_adaptive_rag.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "fedd6d23",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "36fa621a-9d3d-4860-a17c-5d20e6987481.png": {

examples/rag/langgraph_adaptive_rag_local.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "39b26b09",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "3755396d-c4a8-45bd-87d4-00cb56339fe5.png": {

examples/rag/langgraph_agentic_rag.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "47e3b43b",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "425fb020-e864-40ce-a31f-8da40c73d14b",
@@ -208,11 +200,11 @@
      "output_type": "stream",
      "text": [
       "********************Prompt[rlm/rag-prompt]********************\n",
-      "================================\u001b[1m Human Message \u001b[0m=================================\n",
+      "================================\u001B[1m Human Message \u001B[0m=================================\n",
       "\n",
       "You are an assistant for question-answering tasks. Use the following pieces of retrieved context to answer the question. If you don't know the answer, just say that you don't know. Use three sentences maximum and keep the answer concise.\n",
-      "Question: \u001b[33;1m\u001b[1;3m{question}\u001b[0m \n",
-      "Context: \u001b[33;1m\u001b[1;3m{context}\u001b[0m \n",
+      "Question: \u001B[33;1m\u001B[1;3m{question}\u001B[0m \n",
+      "Context: \u001B[33;1m\u001B[1;3m{context}\u001B[0m \n",
       "Answer:\n"
      ]
     }

examples/rag/langgraph_crag.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "c71da2ea",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "683fae34-980f-43f0-a9c2-9894bebd9157.png": {

examples/rag/langgraph_crag_local.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "ac7db067",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "b77a7d3b-b28a-4dcf-9f1a-861f2f2c5f6c.png": {

examples/rag/langgraph_self_rag.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "b3d959ff",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "15cba0ab-a549-4909-8373-fb761e384eff.png": {

examples/rag/langgraph_self_rag_local.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "345488d8",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "5fca0a3e-d13d-4bfa-95ea-58203640cc7a.png": {

examples/rag/langgraph_self_rag_pinecone_movies.ipynb

@@ -1,13 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "403aeb6e",
-   "metadata": {},
-   "source": [
-    "This directory is retained purely for archival purposes and is no longer updated. Please see the newly [consolidated LangChain documentation](https://docs.langchain.com/oss/python/langgraph/overview) for the most current information and resources."
-   ]
-  },
   {
    "attachments": {
     "15cba0ab-a549-4909-8373-fb761e384eff.png": {
@@ -62,11 +54,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
-    "\n",
-    "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
-    "os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.smith.langchain.com\"\n",
-    "os.environ[\"LANGCHAIN_API_KEY\"] = \"<your-api-key>\""
+    "import os\n\nos.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\nos.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.smith.langchain.com\"\nos.environ[\"LANGCHAIN_API_KEY\"] = \"<your-api-key>\""
    ]
   },
   {
@@ -76,9 +64,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "import os\n",
-    "\n",
-    "os.environ[\"LANGCHAIN_PROJECT\"] = \"pinecone-devconnect\""
+    "import os\n\nos.environ[\"LANGCHAIN_PROJECT\"] = \"pinecone-devconnect\""
    ]
   },
   {
@@ -98,18 +84,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from langchain_openai import OpenAIEmbeddings\n",
-    "from langchain_pinecone import PineconeVectorStore\n",
-    "\n",
-    "# use pinecone movies database\n",
-    "\n",
-    "# Add to vectorDB\n",
-    "vectorstore = PineconeVectorStore(\n",
-    "    embedding=OpenAIEmbeddings(),\n",
-    "    index_name=\"sample-movies\",\n",
-    "    text_key=\"summary\",\n",
-    ")\n",
-    "retriever = vectorstore.as_retriever()"
+    "from langchain_openai import OpenAIEmbeddings\nfrom langchain_pinecone import PineconeVectorStore\n\n# use pinecone movies database\n\n# Add to vectorDB\nvectorstore = PineconeVectorStore(\n    embedding=OpenAIEmbeddings(),\n    index_name=\"sample-movies\",\n    text_key=\"summary\",\n)\nretriever = vectorstore.as_retriever()"
    ]
   },
   {
@@ -138,11 +113,7 @@
     }
    ],
    "source": [
-    "docs = retriever.invoke(\"James Cameron\")\n",
-    "for doc in docs:\n",
-    "    print(\"# \" + doc.metadata[\"title\"])\n",
-    "    print(doc.page_content)\n",
-    "    print()"
+    "docs = retriever.invoke(\"James Cameron\")\nfor doc in docs:\n    print(\"# \" + doc.metadata[\"title\"])\n    print(doc.page_content)\n    print()"
    ]
   },
   {
@@ -202,12 +173,7 @@
     }
    ],
    "source": [
-    "# Test the retrieval grader\n",
-    "question = \"movies starring jason momoa\"\n",
-    "docs = retriever.invoke(question)\n",
-    "doc_txt = docs[0].page_content\n",
-    "print(doc_txt)\n",
-    "print(retrieval_grader.invoke({\"question\": question, \"document\": doc_txt}))"
+    "# Test the retrieval grader\nquestion = \"movies starring jason momoa\"\ndocs = retriever.invoke(question)\ndoc_txt = docs[0].page_content\nprint(doc_txt)\nprint(retrieval_grader.invoke({\"question\": question, \"document\": doc_txt}))"
    ]
   },
   {
@@ -235,23 +201,7 @@
     }
    ],
    "source": [
-    "### Generate\n",
-    "\n",
-    "from langchain import hub\n",
-    "from langchain_core.output_parsers import StrOutputParser\n",
-    "\n",
-    "# Prompt\n",
-    "prompt = hub.pull(\"rlm/rag-prompt\")\n",
-    "\n",
-    "# LLM\n",
-    "llm = ChatOpenAI(model_name=\"gpt-3.5-turbo\", temperature=0)\n",
-    "\n",
-    "# Chain\n",
-    "rag_chain = prompt | llm | StrOutputParser()\n",
-    "\n",
-    "# Run\n",
-    "generation = rag_chain.invoke({\"context\": docs, \"question\": question})\n",
-    "print(generation)"
+    "### Generate\n\nfrom langchain import hub\nfrom langchain_core.output_parsers import StrOutputParser\n\n# Prompt\nprompt = hub.pull(\"rlm/rag-prompt\")\n\n# LLM\nllm = ChatOpenAI(model_name=\"gpt-3.5-turbo\", temperature=0)\n\n# Chain\nrag_chain = prompt | llm | StrOutputParser()\n\n# Run\ngeneration = rag_chain.invoke({\"context\": docs, \"question\": question})\nprint(generation)"
    ]
   },
   {
@@ -379,17 +329,7 @@
     }
    ],
    "source": [
-    "### Question Re-writer\n",
-    "\n",
-    "# LLM\n",
-    "llm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n",
-    "\n",
-    "# Prompt\n",
-    "re_write_prompt = hub.pull(\"efriis/self-rag-question-rewriter\")\n",
-    "\n",
-    "question_rewriter = re_write_prompt | llm | StrOutputParser()\n",
-    "print(question)\n",
-    "question_rewriter.invoke({\"question\": question})"
+    "### Question Re-writer\n\n# LLM\nllm = ChatOpenAI(model=\"gpt-3.5-turbo-0125\", temperature=0)\n\n# Prompt\nre_write_prompt = hub.pull(\"efriis/self-rag-question-rewriter\")\n\nquestion_rewriter = re_write_prompt | llm | StrOutputParser()\nprint(question)\nquestion_rewriter.invoke({\"question\": question})"
    ]
   },
   {
@@ -411,24 +351,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from typing import List\n",
-    "\n",
-    "from typing_extensions import TypedDict\n",
-    "\n",
-    "\n",
-    "class GraphState(TypedDict):\n",
-    "    \"\"\"\n",
-    "    Represents the state of our graph.\n",
-    "\n",
-    "    Attributes:\n",
-    "        question: question\n",
-    "        generation: LLM generation\n",
-    "        documents: list of documents\n",
-    "    \"\"\"\n",
-    "\n",
-    "    question: str\n",
-    "    generation: str\n",
-    "    documents: List[str]"
+    "from typing import List\n\nfrom typing_extensions import TypedDict\n\n\nclass GraphState(TypedDict):\n    \"\"\"\n    Represents the state of our graph.\n\n    Attributes:\n        question: question\n        generation: LLM generation\n        documents: list of documents\n    \"\"\"\n\n    question: str\n    generation: str\n    documents: List[str]"
    ]
   },
   {
@@ -438,95 +361,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "### Nodes\n",
-    "\n",
-    "\n",
-    "def retrieve(state):\n",
-    "    \"\"\"\n",
-    "    Retrieve documents\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        state (dict): New key added to state, documents, that contains retrieved documents\n",
-    "    \"\"\"\n",
-    "    print(\"---RETRIEVE---\")\n",
-    "    question = state[\"question\"]\n",
-    "\n",
-    "    # Retrieval\n",
-    "    documents = retriever.invoke(question)\n",
-    "    return {\"documents\": documents, \"question\": question}\n",
-    "\n",
-    "\n",
-    "def generate(state):\n",
-    "    \"\"\"\n",
-    "    Generate answer\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        state (dict): New key added to state, generation, that contains LLM generation\n",
-    "    \"\"\"\n",
-    "    print(\"---GENERATE---\")\n",
-    "    question = state[\"question\"]\n",
-    "    documents = state[\"documents\"]\n",
-    "\n",
-    "    # RAG generation\n",
-    "    generation = rag_chain.invoke({\"context\": documents, \"question\": question})\n",
-    "    return {\"documents\": documents, \"question\": question, \"generation\": generation}\n",
-    "\n",
-    "\n",
-    "def grade_documents(state):\n",
-    "    \"\"\"\n",
-    "    Determines whether the retrieved documents are relevant to the question.\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        state (dict): Updates documents key with only filtered relevant documents\n",
-    "    \"\"\"\n",
-    "\n",
-    "    print(\"---CHECK DOCUMENT RELEVANCE TO QUESTION---\")\n",
-    "    question = state[\"question\"]\n",
-    "    documents = state[\"documents\"]\n",
-    "\n",
-    "    # Score each doc\n",
-    "    filtered_docs = []\n",
-    "    for d in documents:\n",
-    "        score = retrieval_grader.invoke(\n",
-    "            {\"question\": question, \"document\": d.page_content}\n",
-    "        )\n",
-    "        grade = score.binary_score\n",
-    "        if grade == \"yes\":\n",
-    "            print(\"---GRADE: DOCUMENT RELEVANT---\")\n",
-    "            filtered_docs.append(d)\n",
-    "        else:\n",
-    "            print(\"---GRADE: DOCUMENT NOT RELEVANT---\")\n",
-    "            continue\n",
-    "    return {\"documents\": filtered_docs, \"question\": question}\n",
-    "\n",
-    "\n",
-    "def transform_query(state):\n",
-    "    \"\"\"\n",
-    "    Transform the query to produce a better question.\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        state (dict): Updates question key with a re-phrased question\n",
-    "    \"\"\"\n",
-    "\n",
-    "    print(\"---TRANSFORM QUERY---\")\n",
-    "    question = state[\"question\"]\n",
-    "    documents = state[\"documents\"]\n",
-    "\n",
-    "    # Re-write question\n",
-    "    better_question = question_rewriter.invoke({\"question\": question})\n",
-    "    return {\"documents\": documents, \"question\": better_question}"
+    "### Nodes\n\n\ndef retrieve(state):\n    \"\"\"\n    Retrieve documents\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        state (dict): New key added to state, documents, that contains retrieved documents\n    \"\"\"\n    print(\"---RETRIEVE---\")\n    question = state[\"question\"]\n\n    # Retrieval\n    documents = retriever.invoke(question)\n    return {\"documents\": documents, \"question\": question}\n\n\ndef generate(state):\n    \"\"\"\n    Generate answer\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        state (dict): New key added to state, generation, that contains LLM generation\n    \"\"\"\n    print(\"---GENERATE---\")\n    question = state[\"question\"]\n    documents = state[\"documents\"]\n\n    # RAG generation\n    generation = rag_chain.invoke({\"context\": documents, \"question\": question})\n    return {\"documents\": documents, \"question\": question, \"generation\": generation}\n\n\ndef grade_documents(state):\n    \"\"\"\n    Determines whether the retrieved documents are relevant to the question.\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        state (dict): Updates documents key with only filtered relevant documents\n    \"\"\"\n\n    print(\"---CHECK DOCUMENT RELEVANCE TO QUESTION---\")\n    question = state[\"question\"]\n    documents = state[\"documents\"]\n\n    # Score each doc\n    filtered_docs = []\n    for d in documents:\n        score = retrieval_grader.invoke(\n            {\"question\": question, \"document\": d.page_content}\n        )\n        grade = score.binary_score\n        if grade == \"yes\":\n            print(\"---GRADE: DOCUMENT RELEVANT---\")\n            filtered_docs.append(d)\n        else:\n            print(\"---GRADE: DOCUMENT NOT RELEVANT---\")\n            continue\n    return {\"documents\": filtered_docs, \"question\": question}\n\n\ndef transform_query(state):\n    \"\"\"\n    Transform the query to produce a better question.\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        state (dict): Updates question key with a re-phrased question\n    \"\"\"\n\n    print(\"---TRANSFORM QUERY---\")\n    question = state[\"question\"]\n    documents = state[\"documents\"]\n\n    # Re-write question\n    better_question = question_rewriter.invoke({\"question\": question})\n    return {\"documents\": documents, \"question\": better_question}"
    ]
   },
   {
@@ -536,74 +371,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "### Edges\n",
-    "\n",
-    "\n",
-    "def decide_to_generate(state):\n",
-    "    \"\"\"\n",
-    "    Determines whether to generate an answer, or re-generate a question.\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        str: Binary decision for next node to call\n",
-    "    \"\"\"\n",
-    "\n",
-    "    print(\"---ASSESS GRADED DOCUMENTS---\")\n",
-    "    state[\"question\"]\n",
-    "    filtered_documents = state[\"documents\"]\n",
-    "\n",
-    "    if not filtered_documents:\n",
-    "        # All documents have been filtered check_relevance\n",
-    "        # We will re-generate a new query\n",
-    "        print(\n",
-    "            \"---DECISION: ALL DOCUMENTS ARE NOT RELEVANT TO QUESTION, TRANSFORM QUERY---\"\n",
-    "        )\n",
-    "        return \"transform_query\"\n",
-    "    else:\n",
-    "        # We have relevant documents, so generate answer\n",
-    "        print(\"---DECISION: GENERATE---\")\n",
-    "        return \"generate\"\n",
-    "\n",
-    "\n",
-    "def grade_generation_v_documents_and_question(state):\n",
-    "    \"\"\"\n",
-    "    Determines whether the generation is grounded in the document and answers question.\n",
-    "\n",
-    "    Args:\n",
-    "        state (dict): The current graph state\n",
-    "\n",
-    "    Returns:\n",
-    "        str: Decision for next node to call\n",
-    "    \"\"\"\n",
-    "\n",
-    "    print(\"---CHECK HALLUCINATIONS---\")\n",
-    "    question = state[\"question\"]\n",
-    "    documents = state[\"documents\"]\n",
-    "    generation = state[\"generation\"]\n",
-    "\n",
-    "    score = hallucination_grader.invoke(\n",
-    "        {\"documents\": documents, \"generation\": generation}\n",
-    "    )\n",
-    "    grade = score.binary_score\n",
-    "\n",
-    "    # Check hallucination\n",
-    "    if grade == \"yes\":\n",
-    "        print(\"---DECISION: GENERATION IS GROUNDED IN DOCUMENTS---\")\n",
-    "        # Check question-answering\n",
-    "        print(\"---GRADE GENERATION vs QUESTION---\")\n",
-    "        score = answer_grader.invoke({\"question\": question, \"generation\": generation})\n",
-    "        grade = score.binary_score\n",
-    "        if grade == \"yes\":\n",
-    "            print(\"---DECISION: GENERATION ADDRESSES QUESTION---\")\n",
-    "            return \"useful\"\n",
-    "        else:\n",
-    "            print(\"---DECISION: GENERATION DOES NOT ADDRESS QUESTION---\")\n",
-    "            return \"not useful\"\n",
-    "    else:\n",
-    "        pprint(\"---DECISION: GENERATION IS NOT GROUNDED IN DOCUMENTS, RE-TRY---\")\n",
-    "        return \"not supported\""
+    "### Edges\n\n\ndef decide_to_generate(state):\n    \"\"\"\n    Determines whether to generate an answer, or re-generate a question.\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        str: Binary decision for next node to call\n    \"\"\"\n\n    print(\"---ASSESS GRADED DOCUMENTS---\")\n    state[\"question\"]\n    filtered_documents = state[\"documents\"]\n\n    if not filtered_documents:\n        # All documents have been filtered check_relevance\n        # We will re-generate a new query\n        print(\n            \"---DECISION: ALL DOCUMENTS ARE NOT RELEVANT TO QUESTION, TRANSFORM QUERY---\"\n        )\n        return \"transform_query\"\n    else:\n        # We have relevant documents, so generate answer\n        print(\"---DECISION: GENERATE---\")\n        return \"generate\"\n\n\ndef grade_generation_v_documents_and_question(state):\n    \"\"\"\n    Determines whether the generation is grounded in the document and answers question.\n\n    Args:\n        state (dict): The current graph state\n\n    Returns:\n        str: Decision for next node to call\n    \"\"\"\n\n    print(\"---CHECK HALLUCINATIONS---\")\n    question = state[\"question\"]\n    documents = state[\"documents\"]\n    generation = state[\"generation\"]\n\n    score = hallucination_grader.invoke(\n        {\"documents\": documents, \"generation\": generation}\n    )\n    grade = score.binary_score\n\n    # Check hallucination\n    if grade == \"yes\":\n        print(\"---DECISION: GENERATION IS GROUNDED IN DOCUMENTS---\")\n        # Check question-answering\n        print(\"---GRADE GENERATION vs QUESTION---\")\n        score = answer_grader.invoke({\"question\": question, \"generation\": generation})\n        grade = score.binary_score\n        if grade == \"yes\":\n            print(\"---DECISION: GENERATION ADDRESSES QUESTION---\")\n            return \"useful\"\n        else:\n            print(\"---DECISION: GENERATION DOES NOT ADDRESS QUESTION---\")\n            return \"not useful\"\n    else:\n        pprint(\"---DECISION: GENERATION IS NOT GROUNDED IN DOCUMENTS, RE-TRY---\")\n        return \"not supported\""
    ]
   },
   {
@@ -622,42 +390,7 @@
    "id": "0e09ca9f-e36d-4ef4-a0d5-79fdbada9fe0",
    "metadata": {},
    "outputs": [],
-   "source": [
-    "from langgraph.graph import END, StateGraph, START\n",
-    "\n",
-    "workflow = StateGraph(GraphState)\n",
-    "\n",
-    "# Define the nodes\n",
-    "workflow.add_node(\"retrieve\", retrieve)  # retrieve\n",
-    "workflow.add_node(\"grade_documents\", grade_documents)  # grade documents\n",
-    "workflow.add_node(\"generate\", generate)  # generate\n",
-    "workflow.add_node(\"transform_query\", transform_query)  # transform_query\n",
-    "\n",
-    "# Build graph\n",
-    "workflow.add_edge(START, \"retrieve\")\n",
-    "workflow.add_edge(\"retrieve\", \"grade_documents\")\n",
-    "workflow.add_conditional_edges(\n",
-    "    \"grade_documents\",\n",
-    "    decide_to_generate,\n",
-    "    {\n",
-    "        \"transform_query\": \"transform_query\",\n",
-    "        \"generate\": \"generate\",\n",
-    "    },\n",
-    ")\n",
-    "workflow.add_edge(\"transform_query\", \"retrieve\")\n",
-    "workflow.add_conditional_edges(\n",
-    "    \"generate\",\n",
-    "    grade_generation_v_documents_and_question,\n",
-    "    {\n",
-    "        \"not supported\": \"generate\",\n",
-    "        \"useful\": END,\n",
-    "        \"not useful\": \"transform_query\",\n",
-    "    },\n",
-    ")\n",
-    "\n",
-    "# Compile\n",
-    "app = workflow.compile()"
-   ]
+   "source": ["from langgraph.graph import END, StateGraph, START\n\nworkflow = StateGraph(GraphState)\n\n# Define the nodes\nworkflow.add_node(\"retrieve\", retrieve)  # retrieve\nworkflow.add_node(\"grade_documents\", grade_documents)  # grade documents\nworkflow.add_node(\"generate\", generate)  # generate\nworkflow.add_node(\"transform_query\", transform_query)  # transform_query\n\n# Build graph\nworkflow.add_edge(START, \"retrieve\")\nworkflow.add_edge(\"retrieve\", \"grade_documents\")\nworkflow.add_conditional_edges(\n    \"grade_documents\",\n    decide_to_generate,\n    {\n        \"transform_query\": \"transform_query\",\n        \"generate\": \"generate\",\n    },\n)\nworkflow.add_edge(\"transform_query\", \"retrieve\")\nworkflow.add_conditional_edges(\n    \"generate\",\n    grade_generation_v_documents_and_question,\n    {\n        \"not supported\": \"generate\",\n        \"useful\": END,\n        \"not useful\": \"transform_query\",\n    },\n)\n\n# Compile\napp = workflow.compile()"]
   },
   {
    "cell_type": "code",
@@ -693,18 +426,7 @@
     }
    ],
    "source": [
-    "from pprint import pprint\n",
-    "\n",
-    "# Run\n",
-    "inputs = {\"question\": \"Movies that star Daniel Craig\"}\n",
-    "for output in app.stream(inputs):\n",
-    "    for key, value in output.items():\n",
-    "        # Node\n",
-    "        pprint(f\"Node '{key}':\")\n",
-    "    pprint(\"\\n---\\n\")\n",
-    "\n",
-    "# Final generation\n",
-    "pprint(value[\"generation\"])"
+    "from pprint import pprint\n\n# Run\ninputs = {\"question\": \"Movies that star Daniel Craig\"}\nfor output in app.stream(inputs):\n    for key, value in output.items():\n        # Node\n        pprint(f\"Node '{key}':\")\n    pprint(\"\\n---\\n\")\n\n# Final generation\npprint(value[\"generation\"])"
    ]
   },
   {
@@ -714,15 +436,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "inputs = {\"question\": \"Which movies are about aliens?\"}\n",
-    "for output in app.stream(inputs):\n",
-    "    for key, value in output.items():\n",
-    "        # Node\n",
-    "        pprint(f\"Node '{key}':\")\n",
-    "    pprint(\"\\n---\\n\")\n",
-    "\n",
-    "# Final generation\n",
-    "pprint(value[\"generation\"])"
+    "inputs = {\"question\": \"Which movies are about aliens?\"}\nfor output in app.stream(inputs):\n    for key, value in output.items():\n        # Node\n        pprint(f\"Node '{key}':\")\n    pprint(\"\\n---\\n\")\n\n# Final generation\npprint(value[\"generation\"])"
    ]
   },
   {
@@ -731,7 +445,9 @@
    "id": "42369ab8-322d-434a-b5dd-2266e4cb2903",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    ""
+   ]
   }
  ],
  "metadata": {

examples/react-agent-from-scratch.ipynb

@@ -5,14 +5,7 @@
    "id": "294995c4",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/react-agent-from-scratch.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/react-agent-from-scratch.ipynb"
    ]
   }
  ],

examples/react-agent-structured-output.ipynb

@@ -5,14 +5,7 @@
    "id": "40f0d107",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/react-agent-structured-output.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/react-agent-structured-output.ipynb"
    ]
   }
  ],

examples/recursion-limit.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "fa3f7c50",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/recursion-limit.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

examples/reflection/reflection.ipynb

@@ -5,15 +5,7 @@
    "id": "658773a2",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/reflection/reflection.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "1cb60657",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/reflection/reflection.ipynb"
    ]
   }
  ],

examples/reflexion/reflexion.ipynb

@@ -5,15 +5,7 @@
    "id": "caf07859",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/reflexion/reflexion.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "cd1df0e0",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/reflexion/reflexion.ipynb"
    ]
   }
  ],

examples/rewoo/rewoo.ipynb

@@ -5,15 +5,7 @@
    "id": "961f43ec",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/rewoo/rewoo.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "7f00c427",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/rewoo/rewoo.ipynb"
    ]
   }
  ],

examples/run-id-langsmith.ipynb

@@ -5,14 +5,7 @@
    "id": "bbd6e9b8",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/run-id-langsmith.md)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/run-id-langsmith.ipynb"
    ]
   }
  ],

examples/self-discover/self-discover.ipynb

@@ -5,15 +5,7 @@
    "id": "f6db1873",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/tutorials/self-discover/self-discover.ipynb)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "219a78f9",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/self-discover/self-discover.ipynb"
    ]
   }
  ],

examples/state-model.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "4149ffcc",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/state-model.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/storm/storm.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "3e05d7f9",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/tutorials/storm/storm.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

examples/stream-multiple.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e663f597",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/stream-multiple.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/stream-updates.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "e6829c80",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/stream-updates.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/stream-values.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5ec11895",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/stream-values.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/streaming-content.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "6619387c",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/streaming-content.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/streaming-events-from-within-tools-without-langchain.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "57b7e303",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/streaming-events-from-within-tools-without-langchain.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/streaming-events-from-within-tools.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "8e71a0c8",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/streaming-events-from-within-tools.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/streaming-from-final-node.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "756e4554",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/streaming-from-final-node.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/streaming-subgraphs.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "47164a72",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/streaming-subgraphs.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

examples/streaming-tokens-without-langchain.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "218dfbcb",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/streaming-tokens-without-langchain.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/streaming-tokens.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "99eb887e",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/streaming-tokens.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}

examples/subgraph-transform-state.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "0de7689f",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/subgraph-transform-state.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

examples/subgraph.ipynb

@@ -5,14 +5,7 @@
    "id": "f49876e1",
    "metadata": {},
    "source": [
-    "[This file has been moved](https://github.com/langchain-ai/langgraph/blob/23961cff61a42b52525f3b20b4094d8d2fba1744/docs/docs/how-tos/subgraph.md)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "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)."
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/subgraph.ipynb"
    ]
   }
  ],

examples/subgraphs-manage-state.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "5106959e",
+   "metadata": {},
+   "source": [
+    "This file has been moved to https://github.com/langchain-ai/langgraph/blob/main/docs/docs/how-tos/subgraphs-manage-state.ipynb"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}