checkpoint-postgres/sqlite 2.0.12/2.0.3

docs[patch]: add section headers to LangGraph concepts page (#3047 )
![Screenshot 2025-01-15 at 1 03 45 PM](https://github.com/user-attachments/assets/c7a6d5b7-cc42-4616-bba0-4352c2f922bc)
2026-08-18 13:45:44 +02:00 · 2025-01-15 11:26:51 -08:00 · 2025-01-15 14:15:33 -05:00 · 2025-01-15 11:14:03 -08:00 · 2025-01-15 11:11:10 -08:00 · 2025-01-15 11:02:10 -08:00
187 changed files with 4096 additions and 7179 deletions
@@ -17,21 +17,11 @@ jobs:
          - "3.11"
          - "3.12"
          - "3.13"
-        core-version:
-          - "latest"
-        ff-send-v2:
-          - "false"
-        include:
-          - python-version: "3.11"
-            core-version: ">=0.2.42,<0.3.0"
-          - python-version: "3.11"
-            core-version: "latest"
-            ff-send-v2: "true"

    defaults:
      run:
        working-directory: libs/langgraph
-    name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }}, ff-send-v2: ${{ matrix.ff-send-v2 }})"
+    name: "test #${{ matrix.python-version }}"
    steps:
      - uses: actions/checkout@v4
      - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
@@ -51,14 +41,9 @@ jobs:
        shell: bash
        run: |
          poetry install --with dev
-          if [ "${{ matrix.core-version }}" != "latest" ]; then
-            poetry run pip install "langchain-core${{ matrix.core-version }}"
-          fi

      - name: Run tests
        shell: bash
-        env:
-          LANGGRAPH_FF_SEND_V2: ${{ matrix.ff-send-v2 }}
        run: |
          make test_parallel

@@ -31,7 +31,6 @@ jobs:
            "libs/cli",
            "libs/checkpoint",
            "libs/checkpoint-sqlite",
-            "libs/checkpoint-duckdb",
            "libs/checkpoint-postgres",
            "libs/scheduler-kafka",
          ]
@@ -44,12 +43,12 @@ jobs:
    name: cd ${{ matrix.working-directory }}
    strategy:
      matrix:
-        working-directory: [
+        working-directory:
+          [
            "libs/cli",
            "libs/checkpoint",
            "libs/checkpoint-sqlite",
-            "libs/checkpoint-duckdb",
-            "libs/checkpoint-postgres"
+            "libs/checkpoint-postgres",
          ]
    uses: ./.github/workflows/_test.yml
    with:
@@ -76,7 +75,7 @@ jobs:
      - name: Set up Python
        uses: actions/setup-python@v5
        with:
-          python-version: '3.11'
+          python-version: "3.11"
      - name: Run check_sdk_methods script
        run: python .github/scripts/check_sdk_methods.py

@@ -109,9 +108,40 @@ jobs:
      - name: Build
        run: yarn build

+  test-js:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        working-directory:
+          - "libs/sdk-js"
+    defaults:
+      run:
+        working-directory: ${{ matrix.working-directory }}
+    steps:
+      - uses: actions/checkout@v3
+      - name: Setup Node.js (LTS)
+        uses: actions/setup-node@v3
+        with:
+          node-version: "20"
+          cache: "yarn"
+          cache-dependency-path: ${{ matrix.working-directory }}/yarn.lock
+      - name: Install dependencies
+        run: yarn install
+      - name: Run tests
+        run: yarn test
+
  ci_success:
    name: "CI Success"
-    needs: [lint, lint-js, test, test-langgraph, test-scheduler-kafka, integration-test]
+    needs:
+      [
+        lint,
+        lint-js,
+        test,
+        test-langgraph,
+        test-scheduler-kafka,
+        integration-test,
+        test-js,
+      ]
    if: |
      always()
    runs-on: ubuntu-latest
@@ -85,7 +85,7 @@ jobs:
          if [ "${{ github.event_name }}" == "schedule" ] || [ "${{ github.event_name }}" == "workflow_dispatch" ] || ([ "${{ github.event_name }}" == "push" ] && [ "${{ github.ref }}" == "refs/heads/main" ]); then
            echo "Running link check on all HTML files matching notebooks in docs directory..."
            poetry run pytest -v \
-              --check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
+              --check-links-ignore "https://(api|web|docs|academy)\.smith\.langchain\.com/.*" \
              --check-links-ignore "https://x.com/.*" \
              --check-links-ignore "https://github\.com/.*" \
              --check-links-ignore "http://localhost:8123/.*" \
@@ -106,7 +106,7 @@ jobs:
            if [ -n "${CHANGED_FILES}" ]; then
              echo "Running link check on HTML files matching changed notebook files..."
              poetry run pytest -v \
-                --check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
+                --check-links-ignore "https://(api|web|docs|academy)\.smith\.langchain\.com/.*" \
                --check-links-ignore "http://localhost:8123/.*" \
                --check-links-ignore "http://localhost:2024.*" \
                --check-links-ignore "http://127.0.0.1:.*" \
@@ -42,10 +42,13 @@ NOTEBOOKS_NO_EXECUTION = [
    "docs/docs/tutorials/storm/storm.ipynb",  # issues only when running with VCR
    "docs/docs/tutorials/lats/lats.ipynb",  # issues only when running with VCR
    "docs/docs/tutorials/rag/langgraph_crag.ipynb",  # flakiness from tavily
-    "docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb",  # Cannot create a consistent method resolution error from VCR
+    "docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb",  # flakiness only when running in GHA 
+    "docs/docs/tutorials/rag/langgraph_self_rag.ipynb",  # flakiness only when running in GHA
+    "docs/docs/tutorials/rag/langgraph_agentic_rag.ipynb",  # flakiness only when running in GHA
    "docs/docs/how-tos/map-reduce.ipynb",  # flakiness from structured output, only when running with VCR
    "docs/docs/tutorials/tot/tot.ipynb",
-    "docs/docs/how-tos/visualization.ipynb"
+    "docs/docs/how-tos/visualization.ipynb",
+    "docs/docs/tutorials/llm-compiler/LLMCompiler.ipynb"
 ]


@@ -127,7 +130,18 @@ def add_vcr_to_notebook(
            uses_langsmith = True

    # Add import statement
-    vcr_import_lines = [
+    vcr_import_lines = []
+    if uses_langsmith:
+        vcr_import_lines.extend([
+            # patch urllib3 to handle vcr errors, see more here:
+            # https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
+            "import sys",
+            f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
+            "import _patch as patch_urllib3",
+            "patch_urllib3.patch_urllib3()",
+        ])
+
+    vcr_import_lines.extend([
        "import nest_asyncio",
        "nest_asyncio.apply()",
        "import vcr",
@@ -157,16 +171,8 @@ def add_vcr_to_notebook(
        "",
        "custom_vcr.register_serializer('advanced_compressed', AdvancedCompressedSerializer())",
        "custom_vcr.serializer = 'advanced_compressed'",
-    ]
-    if uses_langsmith:
-        vcr_import_lines.extend(
-            # patch urllib3 to handle vcr errors, see more here:
-            # https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
-            "import sys",
-            f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
-            "import _patch as patch_urllib3",
-            "patch_urllib3.patch_urllib3()",
-        )
+    ])
+
    import_cell = nbformat.v4.new_code_cell(source="\n".join(vcr_import_lines))
    import_cell.pop("id", None)
    notebook.cells.insert(0, import_cell)
@@ -1 +0,0 @@
-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
@@ -1 +0,0 @@
-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
@@ -1 +0,0 @@
-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
@@ -1 +0,0 @@
-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
@@ -0,0 +1 @@
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
@@ -0,0 +1 @@
+eNqdVntsE/cdj4lEkZp2m1ZtrYS6m9V2G+TsO/v8iutJUUKcB3nZCYmz0ejnu5/tw/fi7mzHAbrw0MogEz3UDqGomiAhLlaWJiNKaNIMEIqgZe1UDSqFbawbm2jXsq1bq7ZbUPY924FE8Nd+8uvu+/p8v9/P93vel0tjVeNlyTLGSzpWEavDhWbsy6l4Zwpr+oFREesJmRtpaw13DKdUfnFTQtcVrcpuRwpvkxUsId7GyqI9TdvZBNLt8FsRcMHNSFTmstctb+yyiljTUBxr1iriB7usrAyxJB0urBE5RSCiEAosCBWTGZUHIIQOvghQBHy6RiCJ4CUlpd/T1GWwi2Ld1C3lULThNUJWdF7k+zFH/FAyXysnJpu6rC6rGrwxRNNVHqeRYCO2ynKSAGs9gUuRkMQRupo1A6kYaeAeReVUUSMlcVgVsrwUJzQsIknnWYIv5ETYCREjCSQ2ayVhVWUBm2lqWU3HonVPJbEm+3oMKABwMSqv80i4m2EVIAfsUDXwKmJRBixwXSerYkpAOi7URFRUOQ15rhitCZrSsGrdsx3uiDKHBfNWXNFJRiZFCGZqajqkJoIghgQNww0AqQAL9JRqeqBs1J5cAiNIVjsykpA13Rhf2/XXEMti8IklVuYgaeMX8X5eqSQ4HDMx5iFXCRc4ZeSTGCskEvg0Hi1aGRNIUQSeRabcvgNKPFaqDalnFXy/OG9mRBYqYky1AojqBntbFugpEbTN5bN5JvpITUe8JADdSAEBnlGlIJ9bLVAQmwQnZIk2xmjReHy1jqwZp5oR2xpe4xKpbMI4hVTRzZxZfV9NAQVEbORq2u4PVxLeC+e00bTNN7nGsZaVWONUoQ0za4yBolmSlcGHcYIaX6mPgKW4njCGGYZ5VcWaAsOG94+CmZ7S9o1AL/CvL+dKQ3eytWmliTfKvjlSC30x5jtS0G6aIRqBRQ7K4SJoTxXlrXK4iWBzx1hNKUzHA9sw2aEiSYtBK7astD3HJlJSEnP5mgc2fN5sOGRjwgd2krhPkTVMllAZY91kqLhuyIbaM0V2kbIahznqL4Q1TpvNhPXCS1MlMRDfdAnBSVGDQrhc4yXJSp3zkBdF0hRJ0bN9JJAaC7AVoHaFz9J+gzY7KThn79fQ5SSGVXiadlHF86vVOirMPW/O+SpPDh+cNx6sddcbYyr5KM/sWj0Nr8I07BC1s/fLSz5OUtpY34oyyXPG4lNw0csxHO3zUjGW9bjZqDfqYVxclIq5Eeum6Sjneh2mnWfBi9k9RVZ1UsMsbHQ9ayxWiqjPHKyAk3Y53ZCrH/YRK6Q4HE5Fa2UzCc1PKCoWZMS9VlNH1iA2gclwgXBGrjbSUt3cUJMPA8ga2KQ8PnrdUt7by8Z6o2KAj8SiQSqDwlyLOxiM9Gda9DrGV99aLzV3Rb3VQYcQc7bVJyOdYoSkPU63F5BTbpK2UTbaRpN0WGO6MqLoQOEQao9mUH97POnZ0tjCxdP9SZbd5o1u9WbbfWJjo0h1NYczSj1DdfeotR24rq69oTPWqQpNO7sjjpSrsVYOCnhrUKaqIRukJwJ2PwFk5KG+gdJIkDASZHEgnCsD4Se4Qg0CtrXrz0/Uw8OwVRKyfiJsFhPDNxJxGB5hgRZZwosvQQ1SaZ4L9DEZ2mZrd9Y0ZyI2FKOVncDuNs2doePJ2trOqKTG67fEghGHx7uqCEAWkirVwU0x3gIP70H/P1FNd5OrJ5xsVYpP/ZwkaxIfi42GsQpTZORZQU5xsMlVPAo9D1VHjCkfRcecyAUL3hNjHC4fuaUrNLHi7e4+GDEfAzkkAMfSrHEm4QxYqxjGafUTIgp43QxFFf4b7B01OSnFFyxXvnV4Q1nhlMN7eXkwdEH6HVUx/9/NG165eaEldOnKqQ8mLg783Tv2AqIe+8n04ltHN717cZ91+fuXW24+9tHAdv39m7v6j/ylaT1Rfziw4VrTtv2eL1+5ZLsxdjtnX7ptOfeNyaXBzzMb/3Hl1p/mup/+sf/Zk3/ueu+hv66XX3xz8YltlqfZEJkZyt8Q5UM71q3PvftUzy3fH2d3E01fznbL/44eO/bZ8T/4Q48vPPk8V1Zm/+3Q7p6fnlt48tC1JD7/OH4h+iN+3VcvHO/4mqPuUCV5+Nq6TfEnbnN3ThyrcBDKkX8eCLa9s+nTjdU9jwzmZz59Nnpg4JkFS5rwT1WUP2rbuLfy8vmrR638QOUwffVEZ9+uO/h8etCxMD1M3/rPh0cvnH3noczB+FJIfjP08dCAo2poqS793NYPvlf+he/tHbu/3vvF++t/88jcd6YaJvJx36SQsFz5W8UvWf5n/fPb54ffS3ANzzz3ds93T/dffViLDG50vb6ZmHtraeb451O3fs/NLRu9ZS+7D85+YnGdntl7bHrgw+eXr6WPf8J111acq0cXD3z7djW7Oejsffngpctehlx8dP9XmJ9v+2ho/7hn6LNL09cPfvzSHYvZsfKyyZp/zSSgff8Duw0OBA==
@@ -0,0 +1 @@
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
@@ -1 +1 @@
-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
+eNqFVM1u20YQbnvsrW9AED0VorSkaClS4YPhGkl/jBSIGuS2WJIjcpvl7mZ3aVsOfKibF+AbJLEgBUbSBAnQS2ugxx76Au6hz9IhbTmI7KIAL9yZ+eb7Zr7d4+UeGMuV/Pgllw4MSx3+2Pp4aeBRBdY9WZTgCpWd3N6ZnFSGn39eOKftuNdjmndtyV3RFUzmacG47Kaq7HE5VfNEZbM/lgWwDOGfnP5gwQRbOUhXv2uy27pAz3qkG3VD8norTUG7YEemKuMyr1/lh1x3vAymgjlYXITrN0xrwVPWUOz9aJU83VZSQku5Pn0IoAMm+B68MGA1qoCfF9YxV9njOeLCX38uS7CW5fD87rcrbv989Nm51+BbGyCaM0oEW0Ko/WDbQIaEORO2njtTwa9rabvsoNFUnwwIedkcYnYwmWm4TnT+FcqozyYVdLww9r5h0otItOGFwzEZjPuxd3t38vpB0DQQwc6B5qigfkbePgiwkGUqDya4Ggi+zupzL86GJIFpmkYbybTfj2KShDEM4mx0Kx5G/WTxvWF5yeoXUgUpSwtYrhDPJkXV8UjYEghHQ+IRMm6/hsBvN47hruE5l/XT5ZZwwb29tD7vFv1NfxzHff9Lr2Sb0cYoIoR0in4QjW4I/LIazXcgc1fguIbR7ze22m2dhsK/OFuLowBlIbhzsTNMeLXdCFvF67e6SnDgHWx7EOCCNwfk5hbvEeb3mZnViwt5J/c5q0/DbujlSuUCWv/+hO4x6Ma/P3n62L+8Jv7YJ91b3RHxOz6X6C6ZAkWT5tYfP/YToRJqncL5AwXJEgGZP26801mPYVNAsHt9BMpwxxYchQNWagGWlpVwXDPj1kH+PwPvGN5iB5RxihfYzNYTlMlpaqD1Js24vQxO0eYY1WxW4q7WizSqV5IJitX2epXt/5dqC8ykxbXTQu1T5wSt+OrINf6mjoOhWWUu2bFZO1ahZN7ca6yP0WhNuXGXB2F81PH3lXlodQNgU6WhYUm53OMO7BXHQ+syiu+TxovQbPJDTgiSMIdMcd/46mGinPK8aV5Z+GDamVb4Ul4pSZkAWmn6yPJD5I9uysEgLdISXUWlK3DkmaWC48uH4cEqmKl9SSWU2s3eV8cYbeBW2S3W1QFNZq2wiIyG4UZEjo4+/Rds6Sw0
@@ -1 +1 @@
-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
@@ -1 +1 @@
-eNqdVn1sE+cZT4i6TUPr2k4CNGni8FZNinL2nWM7djK3JE5oDHMc4sRpQqn7+u49+/DdvZe795w4WdZBGZVgCA66ViqVupBgMytAaBhtYe00VXRbW7Z1K2XpNLRqoPVDa4W0rpOmrnvOH5AI/trJX+89X7/neX7Pc95VymPDlInWOC9rFBtIoHAw7V0lA49Z2KS7iyqmWSLO9ccTg7OWIS81ZynVzXaPB+mym+hYQ7JbIKonz3uELKIe+K0ruOJmLk3EwjuNr0+5VGyaKINNVzuzbcolEIilUTi4RojFIKYSCiwYA7PjhgxAGAq+GFAEfNRkkMbImm7Rm5qUgF0aU0e3lkPVRjYZolNZlSexyDykOa/6JRFHV6DEMOGNIRo1ZJxHipv5LiE5BqxpFtciIU1kqFFwAhkYmeAepYlV1bA0ERtKQdYyjIlVpFFZYORKToyHUTHSQOJ2tTAugyjYSdMsmBSrrukWZkX2vRhQAOBqVJnKSLmRYTsgB+xQNfCqYpUAFjhvIoZqKYjiSk1U3SB5yLNutCKoZWLDNb0d7qhExIpzK6NTttXtZ6llpAnL8V6/Y6CBiIdvk0KmKhwkpJgYbgBmHUgB2o5Dzs1Nl7IYQe7mgbksMal9ciUJTiFBwBACawIRoQb2icykrLcwIpYcyGVIXcMVitnlHMY6ixQ5j4tVK3sB6boiC8iRe3ZAxedrpWJpQce3istOgmylQPaZOIDojHr6C8BWjeHdfs7NL0ywJkWypgD7WAUBnqJekZ9fLtCRkAMnbI1FdrFqfHK5DjHtYzEkxBMrXCJDyNrHkKEGfIvL7xsWMELFdinSf2u4mvBmuFY3z7tDp1c4NguaYB+rtOH5FcbA2AIrEPBhz3An6/VRsJahWXvW5w8dN7Cpw+zhx4pgRi1z1xz0Ar/x61JtBo/Gt9SbeKVhzVw39MV+aZMhtzDeNiaBdcbLeX0MH2zn/e1eL/NAbHA+UgszeNs2nB40kGZK0IqeettLQtbSclgsR27b8JechkM2DnwgK4sndGJitobKnn+QHahuHzbavVhlF0uMDIzVZCWs/VOnmbBtZO1MTQxz4LiE4Kxq2rNeLnSyJqnXuQx5cSzPAetfBKLLAtDKAa4Tg7ImFmC30YK91KKiCYdT4Vbe3xrgOK4DJlNQLBEnrHQ3USGm2cHoBlYIEs9NsDAdWIFtA02ofNb2JvCFB2PuhVs1KMlhWLHH/Vz1enm5ioGdCE4aNxzNheD6+e2V6r58jk6IC55bqWbiZYBmA6r5wq3ymoujnDk/UVdmZdFe+hYcUpgXA4LIB7mQn2sVvFIr4v3+QEAMtfp9waCITkU2sREkZDGbqLDNLnWP9HXGopFyAnxHYKvK+NA7jU2plCCl0mpYTnaJIZobN8eio90Tg31RLcajWFchVBhIkoEt6WjfWGEgnedyqSjLt3nbfAEu5PWyvBsm0s2z0WFfLydsDfKF8b7O4ag6nvEjbSwixiKCT42YSsG3lYwqY9GhUWko1pNMpXfER7q3RiQj2JOMeqW2XKjLm/COj7YW4kSeSCi+QKBb7oR+IpoNezoYYKIMZQnX5oGFeWCr0+CrT0MHI1ZYEHav3H0dTC88GOOaUuiAMQI6YfhGKk7A4yzcRzS89ATUwMrLYjgZ6hqOyDuyPcCqpLwpGRvpi+QJbHjS5evxE30sOSmpypZUsje4rAhB3stytToEOF+wQp6b0P9PVGcfZJePNxvXq/8AShoxNVmSiglswAjZZUEhlghr3MBF6PlA54h9JiiExDYUFLAkSpzUJrE9wwMLdW83lsGc8wyo/BXYWXQGT8tcaMyt3/elhsrVBO/PP6cH74+/wt114dPv7z289smzm5t2Hrpjxs2sWXdXU9ePDz90z2P/2Pe9tZ1Dn5z/ZunRgS+s+erHf//0nx+p3254bbD5i0NnRzdfXlr67IO3ryfs8Knn0kNLjw9tH5v85C/3Sac8q/3772y+7/QTs7mHD33YsnfDL36FN7LrEmvb3r94yTKOFJv0wZn9Z4uHl65950h0/ZefvnefryO4zXvvc6+9O72qYeEbV/705vC/Z43e4gMXNixq/ddK8Ybmg/v3/uGNPT1TW/9495NX7/is/z8nLq3a0zm6+73G8i9nZhca/9Y59fuvTL74yPGp1Kuv/Ih89NvFVW+HP5zY9/GJ8HvnE6EtsbXH/9p0//s/u77nz9bGi1eFu9d88NbG8a/94ADa/d/fbS+vvto+snp65sDOy69PP/P1zPp3XeGNG97Mv/XUbx4tWj88uv/a4oZLLz97/eK6g89svnO4+crCT7ZdfrVt3blH9mx/nM0fTlUq2tSQPfKvkeSqhob/AZ391BU=
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
@@ -0,0 +1 @@
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
@@ -1 +1 @@
-eNrtVn9wFNUdT/hRqTqijoI4VZYt1wpm73bvLvcjqEPmiOVXTEguCTakN+92392u2dtd33sbc9L4Iy2t4YewMEMLxCjkuOAZ+VUd/4D4o6EUO9BOKZgRBdvSTqsZS8egDspo327uIAE62Gr9p9z98/a974/P9/e3vacFIqzoWnGvohGIgEjoB17b3oPggybE5MfZFCSyLmWqq2qj3SZS3nTJhBi4zOMBhuIGGpGRbiiiW9RTnhbBk4IYgyTEmbgupY+N2buUTYHWGNGboYbZMkbgvf4Shi1Q0ZvGpSzSVUhPrIkhYumrqFMoGrGvUmkmAVp0pBDIGJBgBiDIiMA+aBIj6UnMtjXZAnUJqjaDqAJTgpyPk4HSbHJeqo/38UFbLIEpg1pITGRr4928fafrah6FBlLDKAwJEBgrqI3Zam12CWIRKYbtH5usXJIYIkNGVTBh9MRomG6bQdEMk8SwKMMUoBxLWYN6CiKiOHbTT1uwfbhA8sJLSWSIzmBIhgVTS4Y5SdpwMGOCFC3JttkW5a8AQiDNttlXdigVBCXbzmGtTSMI9fgDUCQO5XknUG/CL+CEOQ7Zl/ND2+Ww2JIvi8Rx2miPKQmaJOn/GkJTW48MgUTLY3VG1jGxdl2U8DuAKEKDcFATdYkGwHo++bBilDASTKg0h3I0kTXoVJSVa4bQ4ICqtMDsMJe1ExiGqtBkpu+eB7Cu9eYTn7OxXPycs+uDo2WjEeul8gIOT3Wa1qdG89nnd3t3tnKYAEVTaYFxKqCQsobzvmfkgwHEZiqHy9e+lR1m3j6SRsfW1kogVtWOEgmQKFtbAUoF/L8YeY9MjSgpaPVEqi9Wl388r87nFgR3eNcowTitidbWBFAx3HXOyedYcrSQfRwf4Hhhe8FLKtSSRLa6gzy/DUFs0L4Ff5SlIomJ2zM0IvDggZ58p9lStaAQzZWZOTQ2Vl9UNksYb4CphQZjtwlG8JX5vWX05nuV0d5IXkn0kqHYFUVAwwkajopC6HtE2dSaoZSLXDLouXw/5RTJ2kvPMV5YVF0n1inloerm+uAiVCnKmhA0wIutnKjqpsQR2owh5xjbSqw3GSno8wUDkuBNCOFAOCCVQikYAqX0z5cCGPR1tyjAyglugUnqelKFOyL3chFAU56rdVxi9cy5/77yynmR3sVcjR7XCeaiIGllNF2D2VqIqKutnKOaJi+CWcpeU36/9UJIDPuARFWEoVcIwyBX0VCzs+Cec+Zn7Mx3mv7j2eFu9KviGVNXTChyfmOja47P7599/bKY6+CqYOPcdfH3T9S5bho3/mZu/e6S13++X20RE/ULIyeaAlu3NfR3bhg69LuiuuIbb51Zd9cr97zxUmXLwa6zQ++9XHUC9Wn31Fz/atuKzdd0kA7mGfydCRu3sW+sL5998mo/My14bHJoQfKqpqOPrN/3OnvfSdeEA0/BF65Fwc6Ole+8Nmv8Nye++I8KaY3njg9Sm6d0nzjjfnggtv25W7onbZi+8s8DpzoXdf1y/h9um/bxzK5XemP67i1vHXlret8Pl6j1hz4yBtqLntv0x1m/Pzqld0yIVwen/KWo1v3QmsF5niXzdk79dV9RfCB3XWn400c/izJnT8t4nNInjDl72hPuPLC8adX62e7Ddxb/diiWmrL65ETqk88/H1t097HnE08WFxV9ReN2XOBrGLd2ay6IABjTvktRjZZDldhJa1NUNYN0CUOnxHcxMzxZmbRuotFqytgRDdjhdLScu6FDOkbR2lSXm9JOpx85XhtZG78zMWz4TXavV6SCWJPWYX15Q+ReCc1tXuz1BWr8c8OpxfICg+4Vo0y92FuNFyCkPchUL/AEq5mqypactyH2hXTbGHEMIqQjSu00RQrnyqJzZdG5suj83y46GYEPhr7KTSf4dW06FXp4rql5E8lyn4zSiVYtHSd+4d9uOqX+eAjyAd4b9MWFRDwch37eLyYCPj4eF0Le+P9400kAKPH/yaazb+j8orNw9SG66Ny0LAZDgx3TlRXeWZv3HK6Y3M7euP9g6W0b356HT0Vdp4+7Kl47+vips69uuGHst77x7sbd33860jjx6N8+E26//aM9x4f+9GyWKzm9NOOqYF/+9uKFz8Yem9yxpevmSZGrj/Rvfr/tumjv8u7VPUuOwD53w1/vLjm2b36vsWPonS2HBw73dfQv+M26M//8mb/C5Vu7PPzJNRseYgPpa38w45bK7Icz92N+mol+OrhpmXzrpo69038y9kHZX7UyFvl7Z0dj+8m3P550pqX/0BN3JVL+p54Yr9U2TJox+Gh9avvA1PzKsuqGVV0uurL8C3lDJEw=
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
@@ -1 +0,0 @@
-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
@@ -1 +0,0 @@
-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
@@ -1 +1 @@
-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
@@ -1 +1 @@
-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
@@ -0,0 +1 @@
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
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-eNrtVnt0FNUZT4iItS1ibZBqhGHByiOzmdn3JiwQNgHyfmwgBAjp3Zm7u0Pmxcxskg3dHkRBEDgwVg8VoTwSNg8DRENRkJCipYoIBSpKACNqESkN2tZzKBSkd2Y3kBywHFp72p52/ti9c+93f9833/f7HgsbqqAkMwIf38LwCpQApaAX+ZmFDRKcF4Sy8mSEg0pAoOsLCzwldUGJ6RwTUBRRTk1JASJjFETIA8ZICVxKFZlCBYCSgtYiC3WYeq9Ah04kLJ9v4KAsAz+UDanYrPkGSkC6eAW9GNwskGXGF8KUAMQYHl1meD+GVEshDMgYZNC+hAGvEFSwagj0N0HCeEExGpIxgySwUIORQ7ICOUM4GeuDHmCG95YKylAyhMvRDifQkNW2/KKCm41WXAlKXkGT5dEuif5FIAGWhWyFIghsBYXWmvE+wMoQncqKBAHXawNpF5H7EIymiTDatT39ZkBgKG1vvkEJiboZviCvu1lTd32tCfCA0wWK0ddqloZjIDG33el9dExDmZIYMSZhoBlKGTUaw8djPKzGkMlKCNP20DGQQrN5/ZwDooiCcF3shgAKEKMwgGVqIY35JIHDABaTxgTvXEgpj8mzeQw9oyphKBmrAmwQjsZEwEhyDJzRSOZl4e3QUewZH1bFgNQoII25sPnh6NqHCFCJ0NEFrAcvJqaLzqosR9JVMY1jxlRWA8kv305jNaKazkLNiy7d9B7LNVSkSztE31UtSMg+yR/kEMswlpEVI4ZNRjbBGqBRPxXTVYwSeOhCTFKqBZdptCFGKZRNKOH60CHqOV1AQvkkKQyMCkhaGPUV5IMa2WYZYimgCQv6QiNzDxAiJYpElDZa+jISpPVbUaDycDhcHm4IQEAjE1bWBwRZUbf2zeJtgKIgSgmIMpFGYOoWfy0jJmM09LFAgc0ot3iou09troRQxJHzqmAkekttRVxgGQpo5ylzZYFvieUirpl483GzlpA4qgu8om4vQEakZ6UUhlC54THSaHEYidYaXFYAw7OofOAsQPZERP38td4HIqAqEQgeK2VqJHp5a28ZQVY35wGqwNMHEkhUQN0MJM5maeu9LwV5heGg2uAuvFld7PCGOrORJI3Ol/oAyyGeUjfr1eGVPpehIoVwSkAY6kZia49/WMj7lYBa5yQcjRKURVQ84RMRdE0JygvrUSzgO281xIropoKcniB2xQ2uz0BxUdtLAsFkzGTDPFDETITJgpHmVLMj1WTHpuSVtLhjakpuGYaXSiTAyz4UisyesDdQgSBfCelm9y0D3q4FHH2NZj4qrjisEQUZ4jGr1JYZeHG0feBZGW1RduGC5Ac8U6urVZu0YKJ2wfDbY8eI+xokUo5zslpHOu1bYyc9fm5G30XgJIET5E6N6hSilWa4KEgKLkMKNSclpHYmc6BG45TLTFrNNoIg0rS+wgZp6Al6MwQO6ZTTMFGCrADoXTU4KtqQZTgGBUH/jTU+xBcSXSZevVlCESohL6uNViL67OktIkFNg/YZ14HqnejZfWuhHiyLJuO02Xb1FZNhL4PqbJz86s3nMYhNhNxS0yOMM7TaORK9VFCUxQa9JGE3QZPVgVxo8tIQWKy000yYnCbbNvdk3A2oAMQ9OtvUhoyy/PS8LHezB2G7BaGSgc+ciE+oqKB8FV7ONZUMmhxUqT8kmGd6PcBsD2baAlXuSdmiAubJ2aaKzIq5/pklM6aWVOOk3WQ3W+1Owo6TRsJIGkmczzZP9ipBoSS9ekqmiQSZQpkxB+YRUzmhFHpKC2vt6d4CxTY5M32S6PbTNXk5FTnQVkqnV9bkskwu7eAn2QRolvM90y0ZxqpqC3Q63EUonqguulLSUA0WUdmTXbF8wFE+4Fo2WFKJnmxIw2idBS5j39qXhk1Fk00Bz4bSUBohOkH0jwq2B/UYVz6q5p3PIh8Eqxja5a8QpOmF7nmiZ14tk50+NehVRJZliqqr+JoQsBc7Q4WWLJnLKbMU9XKCzWLBiZgfbITFoZPnhun/oFU7ZuC90xsv0Ls9iiMvyDzj80U8UEIppDZTrBCkURmXYATFvDi9TN3uoJxmYHfYoc8BLBbCgWeWFrf2oF0vBvVaD9Bnuccj0R6zL75l2LJ74vQnQSk+wJ8kBu0+P3aJ6+Tj7JTBm1748+67Rh/dtOfdRRMPVD6P74P7E71vftHx4LNJWeTMofd4n2ozJ10gv9fv3btN8fvypaIy15xTzRfP1lwr/OGHA3fvUVe2rb50pbbj1fm1F7cR935n5rXXF06YUdp/2vQRY034bMezyzeeH7ku0jayfelv724MPJF6OPvAJ53TTJ+e2MIkFUT2P79zxLQNT+VeWfLkoI+P/2FvXefpoab7V44fk1ibkvNky2sj73Ic3djv6PwzZQ8tLrpvMD0kr5Wbu2VA3APndq+aefH17tSBh8KFxeev/LH7r9KclI5TQy9cO+7flT/4YhtsujJxGxduXbGR4542bojvOtb2bXL4L99q/ugnm9ccKScWxZ17e9ekN/Zak0pPv96eSI/FujbO2vut8UX5RzoOTRiQ7jj13pzfy5POXm5aNtvDPLLlaubC1mmTL5VfKLz86aOnn2dffER5qH/jhKuDZ0x57szac/Y1h0XT+h1XN6yPDM07NOSBHNfIzddGnHmYblozrHtxo7Uxt7N6Sdrqg+a9w8ZRzwnPjT5S1rBr3tL8IxUoLNeuJcQt3bnkQzwhLu4bnOY7Q39nmP8nxu3bD9ThG01v0P9nl3//7BKh9N6gdv7pP7w1/AuK9k1zG2ki72xuS7zN3Ob4b53brNb/wbnNYfrG5zabhXQCh9dmpcxeB3RYCeQTr4WyQ8pBOyzA8bVz2zcwDwCf12u6s3lg1o15QG8+yqr0nDcmDlr0+aXET37+cNYsN2vchJWcy8oYpLZ+kPvTYwfzT63b8IsvO3KesTUtWZ3UdfLzMwdP9o+bdNbQf2P2/ubmvJpwXUdpy5n+XSlv//jSxJW+r3ZHjnFf3j9haVbO4cvfTRzWJGdO41ZZO7umD3yUeiE1z7d/XP7goqM/SDwTmNnS6Fy7/s3hdj4PWNbtG/DyyC2Hl31/Tr+4BeUXubQTSR0Z9x75XWPJZ+3JhfVvjIj76K3tT6/qqvzN0Zd/tjxiOBB47USOZfGhH2Wt31C/KO2z+OPFCbk7T81Zt3CgfcVqbt7JIfLhi+4H3Jndge77vtogbD+2552k7IIdV1/0N2eevZCw4P0LH3/6/v2bqkqOrSXb67iEB8Nrhjz21XnyJUvduPYrK/dLdNOKCZ25X3Zvx3+9INB4/INRV94zT++cfLJfebdiB6/8avxf4qPt+2BDxRfp/eLi/gY7b6A0
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-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
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-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
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-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
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-eNrtVglwFFUahgAaddfFBTncwrSjksCmJ9MzPSeOS5gEkkAOk0DAGKfedL+Zaaanu9PdM5PJoXKU2XWzYHvhUQEhIXHHEECOAC5ELiWlIJUoCuzitdYiEJRD1wuyr3smkAi7lltu1dauXZXM6/f/7/v/fv/3v/ctbA1DUWJ4bmgbw8lQBJSMXqTHFraKsDIEJXlxSxDKfp5uLiosKW0KiczhyX5ZFiRHRgYQGD0vQA4weooPZoSJDMoP5Aw0FliowTR7eDp6ZNjKGl0QShLwQUnnwMprdBSPYnEyetG5WCBJjDeKyX6IMRxazHA+DIUWoxiQMMigeREDHj4kYxEItDdexDhe1uvSMZ3Is1CFkaKSDIO6unRsEHoEJZQqadj9ixkOk7wDl4YkKOrqKtBMkKchq075BBk36c24HBI9vOrLoVkC/QpABCwLWbfM86ybQmP1i7yAlSCySrIIQXDABEpJQHuKYNRIBr1VndNW+nmGUudqdHJU0NLwhjht79Vwl8aqAweCmkMx2gI107oESGIvf+h6ZKahRImMkPDQ0Qwlp03C8LsxDkYwlLIcxdQ5ZAZi9D5OsweBIKDKXHK77IB2lJEZwDLVkMa8Ih/EAJbwxnjPfEihCtzHYehJC8BoOhYGbAhOwgTAiFICnFGZ52Hh96EjQjBeLMwARxyQxpxYTV187EWsCCB0tcD9eAk3zbU8UIG8w4mIkycHIkD0Sd8XMYL4p9FH3UWnlnp/5ioqiqUa0XdFeBHlJ/pCQUQ9jGUkWY9h01FOsAqo/eDAtBBpPAediElyhHcaJ+kSlEIthrpwEB3iO6c5iKjJRJmBcQdRLaM2glxIJVu5LkFt1ZnXBiqZ+4EQKVEl4rRRe5oRIa2tigNV1NXVVdS1+iGgUQrHhoxs9vOSrLQPbu61gKIgagqIGpRGcMoaXzUjpGM09LJAhjHUchzUNlCJBSAUcLR9YdgSX6WsQ2xgGQqo9oz5Es+1JVoUV5O80hxTWxJHxwUnKxsLURKZuRlFUXQKcRihJ216w7oqXJIBw7HoVMFZgPJpETT7ywMNAqACCARPnHBKS3xx+0AfXlJW5wOqsGQQJBApv7IaiEELuWHgvBjiZCYIlVZX0ZXhEsbL4Ux6gtDb1w8ClqIcpazWzoeOQYuhLEZxikcYykpDC8XzAQYqh8+63ZTX7Qk6c4iQ0UaV+aK86V5PCTBZQ9kWf9g1LU+QQaWUZ3Rnu+f77i2dm1MawQmr0WoyW+0GK07oDXpCT+Bcnmm6Rw7xpZmRGdlGAmTz8/QzYb4hJ8iXwZKyomprpqdQtkzPzpwmuHx0Vf5M90xoKaMzA1WzWGYWbeOmWXhokgpK5pBZ+nCEhHab654pGMouFGZop8/Ni3OKXJVCSWU1k5eZE/LIAssy90TCXFUUWIvt0SIyVwrOnEfeMyA9C0nihkSGFgNpM6hPez83WMj5ZL/SZDfaXxChJKD7BC5qQVsmh6SFzYiH8I19rYl7ZVXhzMsUvrk5C3FS2V7qD6VjRgtWAgXMaDCSGGFymGwOE4HNyC9tcyXClF6VgutLRcBJXkTD7H7Kt1L+EBeAdMx1VbJvV8mOKqmmj64WHFYJvATxRFZK21y8OH6j4rlZG+KdhfOiD3BMtRZW+aNKZHSDMtzGhBl1vgqJguNBSWki7Jb2hKWfYzH0XQacMOAGYqva6BRqKTVxgRdlXIIUuq/lqHI4PQiq1H5ymgizyYI2eYp61bIhGpaEPFl8EMWUpmCCCFke0NuqcHRlQZYJMqgI2v+EFkC9Qqgl2nKlh8wHICcpL5gN8WfHQBcRqhHUz7gE1GxHz5+u7tSPRao+doth22A3CQ5IqMkSlLZcaU9ArDJIbVX9zjhDK4fvQC9u2mSzA5uBNpGkxW7y0jbKbAFmj80LTGZoMXnWuqbjLkD5IV6isU1pzZpXkJmf69o8Fx9IG7xQu0ORneMljvF6W0qgiEqjxCiWD9HoaBRhC8IqzpynbLRRdhOw2mlAm7wkabDh2WXF6/rRLpGsWT1XNdm0oCV+cu8d+lLK75OHaM8w9NfXJxeX8z2G0Q+8uXbdgXMOM85kHbNMPLilAFt8TbZycnnzNe/RK17ZFuubcHhS7pzMW3Unay/qL55yvTpuH176sz1LHj9YsL+9/eOP6r2Pd857qmOFu29bTfjCCUvZ6xkfe+COXdn0u/t/Mfr8stCktvD1uff27N51e2pDLLo1bVn2V3etSJ16FI/lBCbsf2rZ3gZH5/oN0R1pBW80Ppk0rPRU+avjqPrzS8fvH5PyvCc3NZ98+JXyxfPf3TOu6sUPh1clG0dah4+9Pa3tNpLY/MkTzw6h18RGlM0nT3fupp1j9j4Z+zRpW8en8hld+v13P13Dv70/tbaz85kvP++uWZZkbrzJlTmq9ukyn7dhwQeOyt8cWXJwBTF+2OmjBU0rn77lxsBnle/dEjN/O71gyvmAbdeobuKbd77+pvn6pfljtzhC8rMp9d1PBhs7nhMO3UZ271v3ovPsoweSFrSd3N5UKD50uqtuwbk5U2JdF7NGjTj3duydRWecf/BX7tr3y7JRxc/0LS3llS2zIo67mu5+nux9wZBS3EJNe/faaRXW7o3HG5ftXtS15HCKVphhQ45/+G1vBqrSjymfhx76F/L5f0ng+qDs7pcy/7bKHQhypdSdAeVBe6WKRoBJAqQYL0NhFDotr6LJvqPANK+BX/ZPJZbmOVCMJVTdT5rrJ831X625SKvhJ82lai6jwfR/qLms1h9dc1kgAFYbAaykyewxESYvYSPNAJoswE57jB7Lf1BzAYPZRht/mObafIXmqljaYxhZizTXF1udZnw1yWNDk677Xc/2IWWjg43BD6c82HVM2D/7wqdpuRlds9+/9vUjZ041vFaTt3jI7KkTp87Z113lfLAv0/mgmztTv3vipqXu5WNmJ0cu+nuWfjnei+/uTck5e8PJ6Y6PzOvFzfUQo+e/3PLcx95Nx9iejcMafp3TsbH7XG1ow3JpwhfcjpxlJ2/YIOYVL57159RpyZUnvjjUhB9PfmbuG/dPftiz5zHsV/rrhu78ZHPSuKZHGp4CloXd8yYePbJ506FRDzX2bM1aM+ODBxon/o1Ie8vhvlDrP7beure398zW9pjb3cGft37lW/VOB1frO15Ubh9O7qyvDt85cfhcckLHHQdWJG9dJWSPTTI8sem219eEbL1TJ3PhR3vfv3HNl6MP5t28+ujO8fcTb3Z1HuhMXTnc8dZNn9+5ZuaFu/asrfhk0dHXXiQ/eL7tkdm3JlN/n/zbU7Vr/3JCvr6o82v7ZzvHv2l/ecZLwd0dzHs3vrrz2YfGNkxoWv6Ete+jv44gYqf5+soTvZPKl/x8zKLXTisjn9tHn1300p0jUt4y2LrsX90Q112PVR/KtaJK/QP0ExZn
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-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
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-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
@@ -0,0 +1 @@
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
@@ -1 +0,0 @@
-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
@@ -0,0 +1 @@
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
@@ -0,0 +1 @@
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
@@ -0,0 +1 @@
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
@@ -279,6 +279,58 @@
        }
      }
    },
+    "/v1/projects/{project_id}/revisions/{revision_id}/deploy": {
+      "post": {
+        "tags": ["Revisions (v1)"],
+        "summary": "Deploy Revision",
+        "description": "Deploy revision by ID.\n\nThis endpoint redeploys the deployment of a revision without rebuilding the image for the deployment. Redeploying the deployment of a revision may mitigate intermittent issues with a deployment.\n\nThe revision must be in the `DEPLOYED` status and must be the latest revision of the project.",
+        "operationId": "deploy_revision_projects__project_id__revisions__revision_id__deploy_post",
+        "parameters": [
+          {
+            "required": true,
+            "schema": {
+              "type": "string",
+              "format": "uuid",
+              "title": "Project ID"
+            },
+            "name": "project_id",
+            "in": "path"
+          },
+          {
+            "required": true,
+            "schema": {
+              "type": "string",
+              "format": "uuid",
+              "title": "Revision ID"
+            },
+            "name": "revision_id",
+            "in": "path"
+          }
+        ],
+        "responses": {
+          "400": {
+            "description": "Revision is not in DEPLOYED status or revision is not the latest revision for the project.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          },
+          "404": {
+            "description": "Revision not found.",
+            "content": {
+              "application/json": {
+                "schema": {
+                  "$ref": "#/components/schemas/ErrorResponse"
+                }
+              }
+            }
+          }
+        }
+      }
+    },
    "/v1/projects/{project_id}/revisions/{revision_id}/interrupt": {
      "post": {
        "tags": ["Revisions (v1)"],
@@ -319,31 +371,6 @@
      }
    },
    "schemas": {
-      "EnvVar": {
-        "type": "object",
-        "description": "An environment variable or secret.",
-        "properties": {
-          "name": {
-            "type": "string",
-            "description": "Environment variable or secret name.",
-            "required": true
-          },
-          "value": {
-            "type": "string",
-            "description": "Environment variable or secret value.",
-            "required": true
-          },
-          "type": {
-            "type": "string",
-            "enum": [
-              "default",
-              "secret"
-            ],
-            "description": "Field to designate type of the environment variable (default) or secret.",
-            "required": true
-          }
-        }
-      },
      "ContainerSpec": {
        "type": "object",
        "description": "Container specification for a revision's deployment.\n\nIf any field is omitted or set to `null`, the internal default value is used depending on the deployment type (`dev` or `prod`).",
@@ -404,6 +431,42 @@
          }
        }
      },
+      "EnvVar": {
+        "type": "object",
+        "description": "An environment variable or secret.",
+        "properties": {
+          "name": {
+            "type": "string",
+            "description": "Environment variable or secret name.",
+            "required": true
+          },
+          "value": {
+            "type": "string",
+            "description": "Environment variable or secret value.",
+            "required": true
+          },
+          "type": {
+            "type": "string",
+            "enum": [
+              "default",
+              "secret"
+            ],
+            "description": "Field to designate type of the environment variable (default) or secret.",
+            "required": true
+          }
+        }
+      },
+      "ErrorResponse": {
+        "type": "object",
+        "description": "Error response.",
+        "properties": {
+          "detail": {
+            "type": "string",
+            "description": "Error details.",
+            "required": true
+          }
+        }
+      },
      "Project": {
        "type": "object",
        "description": "A project corresponds to a LangGraph Server deployment and the associated LangSmith tracing project.",
@@ -289,4 +289,7 @@ RUN set -ex && \
 RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt -e /deps/*

 ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_graphs/src/agent.py:graph", "storm": "/deps/__outer_graphs/src/storm.py:graph"}'
-```
+```
+
+???+ note "Updating your langgraph.json file"
+    The `langgraph dockerfile` command translates all the configuration in your `langgraph.json` file into Dockerfile commands. When using this command, you will have to re-run it whenever you update your `langgraph.json` file. Otherwise, your changes will not be reflected when you build or run the dockerfile.
@@ -28,6 +28,10 @@ The guide below will explain the differences between the deployment options.

    The Self-Hosted Enterprise version is only available for the **Enterprise** plan.

+!!! warning "Note"
+
+    The LangGraph Platform Deployments view (within LangSmith SaaS and self-hosted LangSmith) is not available for Self-Hosted Enterprise LangGraph deployments. Self-hosted LangGraph deployments are managed externally from LangSmith (e.g. there is no UI to manage these deployments).
+
 With a Self-Hosted Enterprise deployment, you are responsible for managing the infrastructure, including setting up and maintaining required databases and Redis instances.

 You’ll build a Docker image using the [LangGraph CLI](./langgraph_cli.md), which can then be deployed on your own infrastructure.
@@ -43,6 +47,10 @@ For more information, please see:

    The Self-Hosted Lite version is available for all plans.

+!!! warning "Note"
+
+    The LangGraph Platform Deployments view (within LangSmith SaaS and self-hosted LangSmith) is not available for Self-Hosted Lite LangGraph deployments. Self-hosted LangGraph deployments are managed externally from LangSmith (e.g. there is no UI to manage these deployments).
+
 The Self-Hosted Lite deployment option is a free (up to 1 million nodes executed), limited version of LangGraph Platform that you can run locally or in a self-hosted manner.

 With a Self-Hosted Lite deployment, you are responsible for managing the infrastructure, including setting up and maintaining required databases and Redis instances.
@@ -61,12 +69,11 @@ For more information, please see:

    The Cloud SaaS version of LangGraph Platform is only available for **Plus** and **Enterprise** plans.

-
 The [Cloud SaaS](./langgraph_cloud.md) version of LangGraph Platform is hosted as part of [LangSmith](https://smith.langchain.com/).

 The Cloud SaaS version of LangGraph Platform provides a simple way to deploy and manage your LangGraph applications.

-This deployment option provides an integration with GitHub, allowing you to deploy code from any of your repositories on GitHub.
+This deployment option provides access to the LangGraph Platform UI (within LangSmith) and an integration with GitHub, allowing you to deploy code from any of your repositories on GitHub.

 For more information, please see:

@@ -81,7 +88,7 @@ For more information, please see:
    The Bring Your Own Cloud version of LangGraph Platform is only available for **Enterprise** plans.


-This combines the best of both worlds for Cloud and Self-Hosted. We manage the infrastructure, so you don't have to, but the infrastructure all runs within your cloud. This is currently only available on AWS.
+This combines the best of both worlds for Cloud and Self-Hosted. Create your deployments through the LangGraph Platform UI (within LangSmith) and we manage the infrastructure so you don't have to. The infrastructure all runs within your cloud. This is currently only available on AWS.

 For more information please see:

@@ -1,6 +1,4 @@
 ---
-hide:
-  - navigation
 title: Concepts
 description: Conceptual Guide for LangGraph
 ---
@@ -15,11 +13,11 @@ The conceptual guide does not cover step-by-step instructions or specific implem

 ## LangGraph

-**High Level**
+### High Level

 - [Why LangGraph?](high_level.md): A high-level overview of LangGraph and its goals.

-**Concepts**
+### Concepts

 - [LangGraph Glossary](low_level.md): LangGraph workflows are designed as graphs, with nodes representing different components and edges representing the flow of information between them. This guide provides an overview of the key concepts associated with LangGraph graph primitives.
 - [Common Agentic Patterns](agentic_concepts.md): An agent uses an LLM to pick its own control flow to solve more complex problems! Agents are a key building block in many LLM applications. This guide explains the different types of agent architectures and how they can be used to control the flow of an application.
@@ -62,6 +62,9 @@ The server includes all API endpoints for your graph's runs, threads, assistants

 The `langgraph dockerfile` command generates a [Dockerfile](https://docs.docker.com/reference/dockerfile/) that can be used to build images for and deploy instances of the [LangGraph API server](./langgraph_server.md). This is useful if you want to further customize the dockerfile or deploy in a more custom way.

+??? note "Updating your langgraph.json file"
+    The `langgraph dockerfile` command translates all the configuration in your `langgraph.json` file into Dockerfile commands. When using this command, you will have to re-run it whenever you update your `langgraph.json` file. Otherwise, your changes will not be reflected when you build or run the dockerfile.
+
 ## Related

 - [LangGraph CLI API Reference](../cloud/reference/cli.md)
@@ -60,7 +60,18 @@ LangGraph Studio (desktop) requires Docker Desktop version 4.24 or higher. Pleas

 #### Configuration or environment issues

-Another reason your project might fail to start is because your configuration file is defined incorrectly, or you are missing required environment variables. 
+Another reason your project might fail to start is because your configuration file is defined incorrectly, or you are missing required environment variables.
+
+!!! Important "Note (desktop only)"
+
+    LangGraph Studio Desktop automatically populates `LANGCHAIN_*` environment variables for license verification and tracing, regardless of the contents of the `.env` file. All other environment variables defined in `.env` will be read as normal.
+
+#### Incorrect data region (desktop only)
+
+If you receive a license verification error when attempting to start the LangGraph Server, you may be logged into the incorrect LangSmith data region. Ensure that you're logged into the correct LangSmith data region and ensure that the LangSmith account has access to LangGraph platform.
+
+1. In the top right-hand corner, click the user icon and select `Logout`.
+1. At the login screen, click the `Data Region` dropdown menu and select the appropriate data region. Then click `Login to LangSmith`.

 ### How does interrupt work?

@@ -112,7 +112,7 @@ In this architecture, agents are defined as graph nodes. Each agent can communic
 ```python
 from typing import Literal
 from langchain_openai import ChatOpenAI
-from langgraph.graph import StateGraph, MessagesState, START
+from langgraph.graph import StateGraph, MessagesState, START, END

 model = ChatOpenAI()

@@ -147,24 +147,21 @@ In our example, the output of `get_state_history` will look like this:

 ### Replay

-It's also possible to play-back a prior graph execution. If we `invoking` a graph with a `thread_id` and a `checkpoint_id`, then we will *re-play* the graph from a checkpoint that corresponds to the `checkpoint_id`.
+It's also possible to play-back a prior graph execution. If we `invoke` a graph with a `thread_id` and a `checkpoint_id`, then we will *re-play* the previously executed steps _before_ a checkpoint that corresponds to the `checkpoint_id`, and only execute the steps _after_ the checkpoint.

-* `thread_id` is simply the ID of a thread. This is always required.
-* `checkpoint_id` This identifier refers to a specific checkpoint within a thread. 
+* `thread_id` is the ID of a thread.
+* `checkpoint_id` is an identifier that refers to a specific checkpoint within a thread.

 You must pass these when invoking the graph as part of the `configurable` portion of the config:

 ```python
-# {"configurable": {"thread_id": "1"}}  # valid config
-# {"configurable": {"thread_id": "1", "checkpoint_id": "0c62ca34-ac19-445d-bbb0-5b4984975b2a"}}  # also valid config
-
-config = {"configurable": {"thread_id": "1"}}
+config = {"configurable": {"thread_id": "1", "checkpoint_id": "0c62ca34-ac19-445d-bbb0-5b4984975b2a"}}
 graph.invoke(None, config=config)
 ```

-Importantly, LangGraph knows whether a particular checkpoint has been executed previously. If it has, LangGraph simply *re-plays* that particular step in the graph and does not re-execute the step. See this [how to guide on time-travel to learn more about replaying](../how-tos/human_in_the_loop/time-travel.ipynb).
+Importantly, LangGraph knows whether a particular step has been executed previously. If it has, LangGraph simply *re-plays* that particular step in the graph and does not re-execute the step, but only for the steps _before_ the provided `checkpoint_id`. All of the steps _after_ `checkpoint_id` will be executed (i.e., a new fork), even if they have been executed previously. See this [how to guide on time-travel to learn more about replaying](../how-tos/human_in_the_loop/time-travel.ipynb).

-![Replay](img/persistence/re_play.jpg)
+![Replay](img/persistence/re_play.png)

 ### Update state

@@ -32,6 +32,10 @@ To use the Self-Hosted Enterprise version, you must acquire a license key that y
 - Build the docker image for [LangGraph Server](./langgraph_server.md) using the [LangGraph CLI](./langgraph_cli.md).
 - Deploy a web server that will run the docker image and pass in the necessary environment variables.

+!!! warning "Note"
+
+    The LangGraph Platform Deployments view (within LangSmith SaaS and self-hosted LangSmith) is not available for Self-Hosted Lite or Self-Hosted Enterprise LangGraph deployments. Self-hosted LangGraph deployments are managed externally from LangSmith (e.g. there is no UI to manage these deployments).
+
 For step-by-step instructions, see [How to set up a self-hosted deployment of LangGraph](../how-tos/deploy-self-hosted.md).

 ## Helm Chart
@@ -17,17 +17,9 @@ We call these debugging techniques **Time Travel**, composed of two key actions:

 ![](./img/human_in_the_loop/replay.png)

-Replaying allows us to revisit and reproduce an agent's past actions. This can be done either from the current state (or checkpoint) of the graph or from a specific checkpoint.
+Replaying allows us to revisit and reproduce an agent's past actions, up to and including a specific step (checkpoint).

-To replay from the current state, simply pass `None` as the input along with a `thread`:
-
-```python
-thread = {"configurable": {"thread_id": "1"}}
-for event in graph.stream(None, thread, stream_mode="values"):
-    print(event)
-```
-
-To replay actions from a specific checkpoint, start by retrieving all checkpoints for the thread:
+To replay actions before a specific checkpoint, start by retrieving all checkpoints for the thread:

 ```python
 all_checkpoints = []
@@ -43,7 +35,7 @@ for event in graph.stream(None, config, stream_mode="values"):
    print(event)
 ```

-The graph efficiently replays previously executed nodes instead of re-executing them, leveraging its awareness of prior checkpoint executions.
+The graph replays previously executed steps _before_ the provided `checkpoint_id` and executes the steps _after_ `checkpoint_id` (i.e., a new fork), even if they have been executed previously.

 ## Forking

@@ -37,7 +37,7 @@ async def authenticate(authorization: str) -> str:
            detail="Invalid token"
        )

-# Optional: Add authorization rules
+# Add authorization rules to actually control access to resources
@my_auth.on
 async def add_owner(
    ctx: Auth.types.AuthContext,
@@ -48,6 +48,13 @@ async def add_owner(
    metadata = value.setdefault("metadata", {})
    metadata.update(filters)
    return filters
+
+# Assumes you organize information in store like (user_id, resource_type, resource_id)
+@my_auth.on.store()
+async def authorize_store(ctx: Auth.types.AuthContext, value: dict):
+    namespace: tuple = value["namespace"]
+    assert namespace[0] == ctx.user.identity, "Not authorized"
+
 ```

 ## 2. Update configuration
@@ -29,6 +29,7 @@ You will eventually need to pass in the following environment variables to the L
 - `DATABASE_URI`: Postgres connection details. Postgres will be used to store assistants, threads, runs, persist thread state and long term memory, and to manage the state of the background task queue with 'exactly once' semantics.
 - `LANGSMITH_API_KEY`: (If using [Self-Hosted Lite](../concepts/deployment_options.md#self-hosted-lite)) LangSmith API key. This will be used to authenticate ONCE at server start up.
 - `LANGGRAPH_CLOUD_LICENSE_KEY`: (If using [Self-Hosted Enterprise](../concepts/deployment_options.md#self-hosted-enterprise)) LangGraph Platform license key. This will be used to authenticate ONCE at server start up.
+- `LANGCHAIN_ENDPOINT`: To send traces to a [self-hosted LangSmith](https://docs.smith.langchain.com/self_hosting) instance, set `LANGCHAIN_ENDPOINT` to the hostname of the self-hosted LangSmith instance.


 ## Build the Docker Image
@@ -1,6 +1,4 @@
 ---
-hide:
-  - navigation
 title: How-to Guides
 description: How to accomplish common tasks in LangGraph
 ---
@@ -208,7 +208,7 @@
    "from typing import Optional\n",
    "\n",
    "from langchain.chat_models import init_chat_model\n",
-    "from langchain_core.tools import InjectedToolArg\n",
+    "from langgraph.prebuilt import InjectedStore\n",
    "from langgraph.store.base import BaseStore\n",
    "from typing_extensions import Annotated\n",
    "\n",
@@ -232,7 +232,7 @@
    "    content: str,\n",
    "    *,\n",
    "    memory_id: Optional[uuid.UUID] = None,\n",
-    "    store: Annotated[BaseStore, InjectedToolArg],\n",
+    "    store: Annotated[BaseStore, InjectedStore],\n",
    "):\n",
    "    \"\"\"Upsert a memory in the database.\"\"\"\n",
    "    # The LLM can use this tool to store a new memory\n",
@@ -42,7 +42,10 @@
    "checkpointer = # postgres checkpointer (see examples below)\n",
    "graph = builder.compile(checkpointer=checkpointer)\n",
    "...\n",
-    "```"
+    "```\n",
+    "\n",
+    "!!! info \"Setup\n",
+    "    You need to run `.setup()` once on your checkpointer to initialize the database before you can use it."
   ]
  },
  {
@@ -123,7 +123,7 @@
    "    return f\"It's sunny in {city}!\"\n",
    "\n",
    "\n",
-    "raw_model = ChatOpenAI()\n",
+    "raw_model = ChatOpenAI(model=\"gpt-4o\")\n",
    "model = raw_model.with_structured_output(get_weather)\n",
    "\n",
    "\n",
@@ -1,7 +1,5 @@
 ---
 hide_comments: true
-hide:
-  - navigation
 title: Home
 ---

@@ -1,6 +1,6 @@
 # MULTIPLE_SUBGRAPHS

-You are calling the same subgraph multiple times within a single LangGraph node with checkpointing enabled for each subgraph.
+You are calling subgraphs multiple times within a single LangGraph node with checkpointing enabled for each subgraph.

 This is currently not allowed due to internal restrictions on how checkpoint namespacing for subgraphs works.

@@ -9,4 +9,4 @@ This is currently not allowed due to internal restrictions on how checkpoint nam
 The following may help resolve this error:

 - If you don't need to interrupt/resume from a subgraph, pass `checkpointer=False` when compiling it like this: `.compile(checkpointer=False)`
- Don't imperatively call graphs multiple times in the same node, and instead use the [`Send`](https://langchain-ai.github.io/langgraph/concepts/low_level/#send) API.
+- Don't imperatively call graphs multiple times in the same node, and instead use the [`Send`](https://langchain-ai.github.io/langgraph/concepts/low_level/#send) API.
@@ -275,6 +275,13 @@ async def on_assistants(
        status_code=403,
        detail="User lacks the required permissions.",
    )
+
+# Assumes you organize information in store like (user_id, resource_type, resource_id)
+@auth.on.store()
+async def authorize_store(ctx: Auth.types.AuthContext, value: dict):
+    # The "namespace" field for each store item is a tuple you can think of as the directory of an item.
+    namespace: tuple = value["namespace"]
+    assert namespace[0] == ctx.user.identity, "Not authorized"
 ```

 Notice that instead of one global handler, we now have specific handlers for:
@@ -582,7 +582,7 @@
    ")\n",
    "\n",
    "evaluator = prompt | ChatOpenAI(model=\"gpt-4-turbo-preview\").with_structured_output(\n",
-    "    RedTeamingResult\n",
+    "    RedTeamingResult, method=\"function_calling\"\n",
    ")\n",
    "\n",
    "\n",
@@ -246,7 +246,7 @@
    "\n",
    "Define the (`fetch_user_flight_information`) tool to let the agent see the current user's flight information.  Then define tools to search for flights and manage the passenger's bookings stored in the SQL database.\n",
    "\n",
-    "We the can [access the RunnableConfig](https://python.langchain.com/docs/how_to/tool_configure/#inferring-by-parameter-type) for a given run to check the `passenger_id` of the user accessing this application. The LLM never has to provide these explicitly, they are provided for a given invocation of the graph so that each user cannot access other passengers' booking information.\n",
+    "We then can [access the RunnableConfig](https://python.langchain.com/docs/how_to/tool_configure/#inferring-by-parameter-type) for a given run to check the `passenger_id` of the user accessing this application. The LLM never has to provide these explicitly, they are provided for a given invocation of the graph so that each user cannot access other passengers' booking information.\n",
    "\n",
    "<div class=\"admonition warning\">\n",
    "    <p class=\"admonition-title\">Compatibility</p>\n",
@@ -3423,7 +3423,7 @@
    "\n",
    "#### Utility\n",
    "\n",
-    "Create a function to make an \"entry\" node for each workflow, stating \"the current assistant ix `assistant_name`\"."
+    "Create a function to make an \"entry\" node for each workflow, stating \"the current assistant is `assistant_name`\"."
   ]
  },
  {
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Nuno Campos	fc887f7a5d	checkpoint-postgres/sqlite 2.0.12/2.0.3	2025-01-15 11:26:51 -08:00
ccurmeandGitHub	bbfc2b7370	docs[patch]: add section headers to LangGraph concepts page (#3047 ) ![Screenshot 2025-01-15 at 1 03 45 PM](https://github.com/user-attachments/assets/c7a6d5b7-cc42-4616-bba0-4352c2f922bc)	2025-01-15 14:15:33 -05:00
Nuno Campos	2c984dfe4e	checkpoint 2.0.10	2025-01-15 11:14:03 -08:00
Nuno CamposandGitHub	09c0d9cec3	Add optional task_path arg for put_writes() (#3049 ) - Will be used for sorting pending_sends when available	2025-01-15 11:11:10 -08:00
Nuno Campos	31734fb792	Lint	2025-01-15 11:02:10 -08:00
Nuno Campos	eed577ee2a	Update sqlite signature	2025-01-15 10:58:46 -08:00
Nuno Campos	bba00506ea	Lint	2025-01-15 10:57:26 -08:00
Nuno Campos	fa12538a4e	Lint	2025-01-15 10:50:11 -08:00
Nuno Campos	c1a7bb8902	Lint	2025-01-15 10:49:47 -08:00
Nuno Campos	14b500d8a8	Fix	2025-01-15 10:47:09 -08:00
Nuno Campos	053a501db3	Add optional task_path arg for put_writes() - Will be used for sorting pending_sends when available	2025-01-15 10:42:54 -08:00
Andrew NguonlyandGitHub	bbe8eacf8d	docs: Update Studio FAQ (#3048 ) ### Screenshot ![image](https://github.com/user-attachments/assets/6da2faa6-1c62-44e4-96f8-3450f94cb15c)	2025-01-15 10:23:43 -08:00
Chester Curme	5030f1e89c	bold -> headers	2025-01-15 13:02:59 -05:00
Nuno CamposandGitHub	50cb387904	Remove duckdb checkpointer and store (#3046 ) - duckdb is too buggy to be able to provide reliable checkpointer and store	2025-01-15 09:23:49 -08:00
Nuno Campos	003b1883c9	Remove duckdb checkpointer and store - duckdb is too buggy to be able to provide reliable checkpointer and store	2025-01-15 09:15:17 -08:00
Nuno CamposandGitHub	d12830e95c	Fix tracing hierarchy for imperative api (#3036 )	2025-01-15 09:10:45 -08:00
Nuno CamposandGitHub	4426552c26	Fix flaky test output order (#3045 )	2025-01-15 09:02:05 -08:00
Vadym BardaandGitHub	e2554c9616	langgraph: fix non-empty value check in ensure_config (#3039 ) Fixes https://github.com/langchain-ai/langgraph/issues/2890	2025-01-15 16:54:31 +00:00
Nuno CamposandGitHub	f1ee650489	Remove CI job to test against core 0.2.x (#3044 )	2025-01-15 08:52:58 -08:00
Nuno Campos	b7e4656c91	Fix flaky test output order	2025-01-15 08:45:35 -08:00
Nuno Campos	65a41942ef	Remove CI job to test against core 0.2.x	2025-01-15 08:39:09 -08:00
Nuno Campos	c767d86c9c	Remove ci job for removed flag	2025-01-15 08:37:24 -08:00
Nuno Campos	01331ef858	Lint	2025-01-15 08:33:09 -08:00
Nuno CamposandGitHub	24a4c67c52	Merge branch 'main' into nc/14jan/fix-tracing-hierarchy-imperative	2025-01-15 08:31:38 -08:00
Nuno CamposandGitHub	c7e43f86d4	Remove send v2 (#3033 )	2025-01-15 08:29:05 -08:00
Vadym BardaandGitHub	b18d266f2c	langgraph: allow model names as strings in create_react_agent (#3031 ) ```python agent = create_react_agent("anthropic:claude-3-5-sonnet-latest", [add]) agent.invoke({"messages": [("user", "what's 3 + 5")]}) ```	2025-01-15 09:43:37 -05:00
Eugene YurtsevandGitHub	536ee7b37a	docs: document inject kwarg (#3026 )	2025-01-14 21:41:27 -05:00
Nuno Campos	901273c0e2	Lint	2025-01-14 17:09:30 -08:00
Nuno Campos	7bdbd62611	Fix tracing hierarchy for imperative api	2025-01-14 17:03:45 -08:00
Nuno Campos	0b74e25f72	Remove send v2	2025-01-14 15:49:57 -08:00
Eugene YurtsevandGitHub	ff843ab005	docs: internal doc nits (#2946 ) Update internal documentation	2025-01-14 23:16:38 +00:00
Vadym BardaandGitHub	f7fae7e140	langgraph: fix ismethod check in add_node (#3032 ) Fixes #2893 #2965	2025-01-14 17:17:50 -05:00
Eugene YurtsevandGitHub	651ee8bd24	Update local-server.md (#3030 )	2025-01-14 16:22:26 -05:00
Eugene YurtsevandGitHub	54bdba2da9	Update introduction.ipynb (#3029 )	2025-01-14 16:20:54 -05:00
Eugene YurtsevandGitHub	7e5806cb0b	Update local-server.md	2025-01-14 16:13:57 -05:00
Eugene YurtsevandGitHub	66f674fead	Update introduction.ipynb	2025-01-14 16:12:20 -05:00
Vadym BardaandGitHub	f029d615e6	ci: fix docs build (#3028 )	2025-01-14 15:58:03 -05:00
Eugene Yurtsev	bd76773b31	x	2025-01-14 15:50:20 -05:00
ccurmeandGitHub	9b6e6d67dc	layout (#2972 ) Some docs layout improvements to help guide user journey. Currently we have `Home \| Tutorials \| How-tos \| Concepts \| Reference` in top-level horizontal navigation bar. Here we make these updates: - Top-level horizontal navigation bar is just `Home \| API Reference` - Add vertical sidebar to `Home` with sections: - Introduction - Get started - Guides - Resources `Get Started` contains quickstarts for LG and LG Platform / deployment. These are tutorials in Diataxis terms. `Guides` contains index pages for how-tos, concepts, tutorials. Advantage of this organization is that users are directed naturally down the sidebar from Intro -> Get started -> How-tos, which is roughly how we expect them to proceed. This also makes deployment info more accessible as it is highlighted in the "Getting started" section. ![Screenshot 2025-01-14 at 1 37 01 PM](https://github.com/user-attachments/assets/76dcde25-874b-4def-ad71-5313e399b7d7)	2025-01-14 15:29:59 -05:00
ccurmeandGitHub	ecfb3e3850	Merge branch 'main' into eugene/langgraph_nav	2025-01-14 15:21:26 -05:00
Chester Curme	ec71cd6fc1	update	2025-01-14 15:09:46 -05:00
Vadym BardaandGitHub	aab4f0b164	checkpoint-duckdb: release 2.0.2 (#3024 )	2025-01-14 15:08:49 -05:00
Chester Curme	2db6d9d7b5	clean up	2025-01-14 15:08:48 -05:00
Vadym BardaandGitHub	5db71a32bf	checkpoint-duckdb: handle calling .list on async checkpointer (#3022 )	2025-01-14 20:00:58 +00:00
Chester Curme	0f5df797af	fix link	2025-01-14 15:00:38 -05:00
Vadym BardaandGitHub	4c0f855329	ci: fix docs runner (#3010 )	2025-01-14 14:58:34 -05:00
Chester Curme	5dc3f14e8b	populate troubleshootings nav	2025-01-14 14:56:23 -05:00
Chester Curme	f25ea9ecaf	populate tutorials nav	2025-01-14 14:50:05 -05:00
Chester Curme	9940a9f833	populate how-tos nav	2025-01-14 14:47:42 -05:00
Chester Curme	d175d5e4a8	populate concepts nav	2025-01-14 14:42:10 -05:00
Vadym BardaandGitHub	74adbb744b	bump checkpoint sqlite, postgres (#3021 )	2025-01-14 14:41:22 -05:00
Chester Curme	fe63440d98	add deployment landing page	2025-01-14 14:40:45 -05:00
William Fu-Hinthorn	2f47d98b34	Update error message for missing dev command	2025-01-14 11:28:51 -08:00
Vadym BardaandGitHub	b989502c24	checkpoint-sqlite/postgres: handle calling .list on async checkpointer (#3019 )	2025-01-14 19:06:11 +00:00
Eugene YurtsevandGitHub	8507dc33f0	FIx docs: Update MULTIPLE_SUBGRAPHS.md (#3016 )	2025-01-14 13:41:50 -05:00
vbarda	a9073241b2	add css for navbar depth	2025-01-14 13:31:39 -05:00
Chester Curme	0a04262f05	add custom css	2025-01-14 12:46:00 -05:00
Chester Curme	381796c474	hack	2025-01-14 12:39:38 -05:00
Vadym BardaandGitHub	a11ba2b38a	docs: update replay in the concept docs (#3017 )	2025-01-14 11:53:53 -05:00
Chester Curme	09ae5ce05d	update	2025-01-14 11:26:49 -05:00
Chester Curme	59e7751a8c	update	2025-01-14 10:48:50 -05:00
Cesar William AlvarengaandGitHub	a61ea101f6	fix: add missing END constant import (#3011 )	2025-01-13 19:40:40 -05:00
Chester Curme	b9816e31ff	update	2025-01-13 19:12:51 -05:00
Chester Curme	3ea7f9469a	update	2025-01-13 18:26:24 -05:00
Chester Curme	24e61fafa9	update	2025-01-13 16:22:58 -05:00
Andrew NguonlyandGitHub	c86155d3d3	docs: Add note about LangGraph Platform UI not available for self-hosted deployments (#3009 ) Example screenshot: ![image](https://github.com/user-attachments/assets/8304b08d-bc9b-4cd3-8ff4-ed2471d3d6c7)	2025-01-13 13:05:18 -08:00
Chester Curme	2b370cf3b7	template applications -> lg plat	2025-01-13 14:21:12 -05:00
Chester Curme	839bea0f33	fixup	2025-01-13 14:16:14 -05:00
William FHandGitHub	a03f1f7469	Bullseye (#3008 )	2025-01-13 10:01:36 -08:00
Jimmy SambuoandGitHub	d7199e5874	docs: use InjectedStore in semantic search guide (#2995 ) When I tried to follow the How-to guide for [How to add semantic search to your agent's memory](https://langchain-ai.github.io/langgraph/how-tos/memory/semantic-search/#using-in-create_react_agent) using `create_react_agent`, I got this error message when my agent used the tool: ```python 1 validation error for upsert_memory store Field required [type=missing, input_value={'content': '@jimmy works...ny.', 'memory_id': None}, input_type=dict] For further information visit https://errors.pydantic.dev/2.10/v/missingTraceback (most recent call last): File "/usr/local/lib/python3.9/site-packages/langchain_core/tools/base.py", line 688, in run tool_args, tool_kwargs = self._to_args_and_kwargs(tool_input, tool_call_id) File "/usr/local/lib/python3.9/site-packages/langchain_core/tools/base.py", line 611, in _to_args_and_kwargs tool_input = self._parse_input(tool_input, tool_call_id) File "/usr/local/lib/python3.9/site-packages/langchain_core/tools/base.py", line 532, in _parse_input result = input_args.model_validate(tool_input) File "/usr/local/lib/python3.9/site-packages/pydantic/main.py", line 627, in model_validate return cls.__pydantic_validator__.validate_python( pydantic_core._pydantic_core.ValidationError: 1 validation error for upsert_memory store Field required [type=missing, input_value={'content': '@jimmy works...ny.', 'memory_id': None}, input_type=dict] For further information visit https://errors.pydantic.dev/2.10/v/missing ``` I believe it’s because the graph did not inject the store into the tool if we use `InjectedToolArg`. When looking at the guide for [How to pass runtime values to tools](https://langchain-ai.github.io/langgraph/how-tos/pass-run-time-values-to-tools/), it suggests to use `InjectedStore` with `create_react_agent`. After changing my code to use `InjectedStore`, my agent was able to save to the store.	2025-01-13 09:59:46 -05:00
Siddhesh dosiandGitHub	61f2151df7	Update customer-support.ipynb minor spell (#3002 ) There was spelling mistake.	2025-01-13 09:52:19 -05:00
William FHandGitHub	713528ffc3	Add admonition regarding dockerfile usage (#3001 )	2025-01-12 09:52:13 -08:00
Andrew NguonlyandGitHub	7bd79c2509	docs: Add docs for `LANGCHAIN_ENDPOINT` for self-hosted deployments (#2988 ) @langchain-infra, is this correct? Is this needed or is it redundant/unnecessary?	2025-01-10 15:24:38 -08:00
Andrew NguonlyandGitHub	9974787df6	docs: Add API docs for `POST /v1/projects/{project_id}/revisions/{revision_id}/deploy` endpoint (#2994 )	2025-01-10 15:16:48 -08:00
William FHandGitHub	638712a73b	Add support for custom fetch implementation (#2993 )	2025-01-10 23:08:33 +00:00
Vadym BardaandGitHub	b8a54f6294	langgraph: release 0.2.62 (#2990 )	2025-01-10 14:33:54 -05:00
Brace SproulandGitHub	f2913fbcb6	fix(sdk-js): Release 0.0.35 (#2989 )	2025-01-10 10:52:32 -08:00
bracesproul	8045e89e09	fix(sdk-js): Release 0.0.35	2025-01-10 10:43:44 -08:00
Brace SproulandGitHub	8355a1720a	fix: Cron response types (#2987 ) technically a breaking change, however the old response type was incorrect.	2025-01-10 10:15:03 -08:00
bracesproul	c302724394	fix cron create for thread return type	2025-01-10 10:05:57 -08:00
bracesproul	c624ff69e1	fix: Cron response types	2025-01-10 10:01:51 -08:00
Vadym BardaandGitHub	10d46acc60	langgraph: add structured output to create_react_agent (#2848 ) ```python class WeatherResponse(BaseModel): """Respond to the user with this""" temperature: float = Field(description="The temperature in fahrenheit") wind_direction: str = Field( description="The direction of the wind in abbreviated form" ) wind_speed: float = Field(description="The speed of the wind in mph") @tool def get_weather(city: Literal["nyc", "sf"]): """Use this to get weather information.""" if city == "nyc": return "It is cloudy in NYC, with 5 mph winds in the North-East direction and a temperature of 70 degrees" elif city == "sf": return "It is 75 degrees and sunny in SF, with 3 mph winds in the South-East direction" else: raise AssertionError("Unknown city") model = ChatOpenAI() tools = [get_weather] agent_with_structured_output = create_react_agent(model, tools, response_format=WeatherResponse) agent_with_structured_output.invoke({"messages": [("user", "what's the weather in nyc?")]}) ``` ```pycon { 'messages': [...], 'structured_response': WeatherResponse(temperature=70.0, wind_directon='NE', wind_speed=5.0) } ```	2025-01-10 16:06:59 +00:00
Vadym BardaandGitHub	35c3ba0104	docs: update how to for passing config to tools (#2986 )	2025-01-10 11:05:15 -05:00
Hongbin MaoandGitHub	0e2cd9e289	Fix typo (#2984 )	2025-01-10 10:52:52 -05:00
William FHandGitHub	f4bd02da72	Make admonition more admonitiony (#2982 )	2025-01-10 01:46:42 +00:00
William FHandGitHub	ecfbfa1b90	Update auth docstrings (#2977 )	2025-01-09 16:58:19 -08:00
Eugene Yurtsev	fba5ca7ab9	x	2025-01-09 12:24:30 -05:00
Eugene Yurtsev	f141089811	x	2025-01-09 11:11:04 -05:00
Eugene Yurtsev	38487cb158	x	2025-01-09 11:11:04 -05:00
				`@@ -1 +0,0 @@`
				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
				`@@ -1 +0,0 @@`
				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
				`@@ -1 +0,0 @@`
				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
				`@@ -1 +0,0 @@`
				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
				`@@ -0,0 +1 @@`
				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
				`@@ -0,0 +1 @@`
				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
				`@@ -0,0 +1 @@`
				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
				`@@ -0,0 +1 @@`
				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
				`@@ -1 +0,0 @@`
				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