fix(langgraph): split task function overloads to resolve mypy incompatible type error

### Description
* Set `ensure_ascii=False` for all `json.dumps` calls in
`get_text_at_path`. Preserves non-ASCII text instead of embedding
`\uXXXX` escapes.

**Before**
```python
store.put(("user_123", "memories"), "1", {"text": "这是中文"})
# embeds {"text": "\\u8fd9\\u662f\\u4e2d\\u6587"}
```

**After**
```python
store.put(("user_123", "memories"), "1", {"text": "这是中文"})
# embeds {"text": "这是中文"}
```

### Tests & Docs

* Add unit test `test_non_ascii` that writes three records (Chinese,
Japanese, Korean) to an `InMemoryStore`, searches with the same strings,
and asserts the correct top hit with a score >= 0.15 for each.

### Issue
Fixes #5946

.github/scripts/check_sdk_methods.py

@@ -1,10 +1,15 @@
 import ast
 import os
 from itertools import filterfalse
-from typing import List, Tuple
+from typing import Dict, List, Tuple
 
 ROOT_PATH = os.path.abspath(os.path.join(__file__, "..", "..", ".."))
 CLIENT_PATH = os.path.join(ROOT_PATH, "libs", "sdk-py", "langgraph_sdk", "client.py")
+ASYNC_TO_SYNC_METHOD_MAP: Dict[str, str] = {
+    "aclose": "close",
+    "__aenter__": "__enter__",
+    "__aexit__": "__exit__",
+}
 
 
 def get_class_methods(node: ast.ClassDef) -> List[str]:
@@ -22,7 +27,7 @@ def find_classes(tree: ast.AST) -> List[Tuple[str, List[str]]]:
 
 def compare_sync_async_methods(sync_methods: List[str], async_methods: List[str]) -> List[str]:
     sync_set = set(sync_methods)
-    async_set = set(async_methods)
+    async_set = {ASYNC_TO_SYNC_METHOD_MAP.get(async_method, async_method) for async_method in async_methods}
     missing_in_sync = list(async_set - sync_set)
     missing_in_async = list(sync_set - async_set)
     return missing_in_sync + missing_in_async

.github/scripts/run_langgraph_cli_test.py

@@ -1,107 +1,145 @@
-import asyncio
-import json
-import os
 import pathlib
 import sys
-import langgraph_cli
-import langgraph_cli.docker
-import langgraph_cli.config
+import time
+from urllib import request, error
 
+import langgraph_cli
+import langgraph_cli.config
+import langgraph_cli.docker
+from langgraph_cli.cli import prepare_args_and_stdin
+from langgraph_cli.constants import DEFAULT_PORT
 from langgraph_cli.exec import Runner, subp_exec
 from langgraph_cli.progress import Progress
-from langgraph_cli.constants import DEFAULT_PORT
 
 
-def test(
-    config: pathlib.Path,
-    port: int,
-    tag: str,
-    verbose: bool,
-):
+def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
+    """Spin up API with Postgres/Redis via docker compose and wait until ready."""
     with Runner() as runner, Progress(message="Pulling...") as set:
-        # check docker available
+        # Detect docker/compose capabilities
         capabilities = langgraph_cli.docker.check_capabilities(runner)
-        # open config
+
+        # Validate config and prepare compose stdin/args using built image
         config_json = langgraph_cli.config.validate_config_file(config)
+        args, stdin = prepare_args_and_stdin(
+            capabilities=capabilities,
+            config_path=config,
+            config=config_json,
+            docker_compose=None,
+            port=port,
+            watch=False,
+            debugger_port=None,
+            debugger_base_url=f"http://127.0.0.1:{port}",
+            postgres_uri=None,
+            api_version=None,
+            image=tag,
+            base_image=None,
+        )
 
-        set("Running...")
-        args = [
-            "run",
-            "--rm",
-            "-p",
-            f"{port}:8000",
-        ]
-        if isinstance(config_json["env"], str):
-            args.extend(
-                [
-                    "--env-file",
-                    str(config.parent / config_json["env"]),
-                ]
-            )
-        else:
-            for k, v in config_json["env"].items():
-                args.extend(
-                    [
-                        "-e",
-                        f"{k}={v}",
-                    ]
-                )
-        if capabilities.healthcheck_start_interval:
-            args.extend(
-                [
-                    "--health-interval",
-                    "5s",
-                    "--health-retries",
-                    "1",
-                    "--health-start-period",
-                    "10s",
-                    "--health-start-interval",
-                    "1s",
-                ]
-            )
-        else:
-            args.extend(
-                [
-                    "--health-interval",
-                    "5s",
-                    "--health-retries",
-                    "2",
-                ]
-            )
+        # Compose up with wait (implies detach), similar to `langgraph up --wait`
+        args_up = [*args, "up", "--remove-orphans", "--wait"]
 
-        _task = None
-
-        def on_stdout(line: str):
-            nonlocal _task
-            if "GET /ok" in line or "Uvicorn running on" in line:
-                set("")
-                sys.stdout.write(
-                    f"""Ready!
-- API: http://localhost:{port}
-"""
-                )
-                sys.stdout.flush()
-                _task.cancel()
-                return True
-            return False
-
-        async def subp_exec_task(*args, **kwargs):
-            nonlocal _task
-            _task = asyncio.create_task(subp_exec(*args, **kwargs))
-            await _task
+        compose_cmd = ["docker", "compose"]
+        if capabilities.compose_type == "standalone":
+            compose_cmd = ["docker-compose"]
 
+        set("Starting...")
         try:
             runner.run(
-                subp_exec_task(
-                    "docker",
-                    *args,
-                    tag,
+                subp_exec(
+                    *compose_cmd,
+                    *args_up,
+                    input=stdin,
                     verbose=verbose,
-                    on_stdout=on_stdout,
                 )
             )
-        except asyncio.CancelledError:
-            pass
+        except Exception as e:  # noqa: BLE001
+            # On failure, show diagnostics then ensure clean teardown
+            sys.stderr.write(f"docker compose up failed: {e}\n")
+            try:
+                sys.stderr.write("\n== docker compose ps ==\n")
+                runner.run(subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=False))
+            except Exception:
+                pass
+            try:
+                sys.stderr.write("\n== docker compose logs (api) ==\n")
+                runner.run(
+                    subp_exec(
+                        *compose_cmd,
+                        *args,
+                        "logs",
+                        "langgraph-api",
+                        input=stdin,
+                        verbose=False,
+                    )
+                )
+            except Exception:
+                pass
+            finally:
+                try:
+                    runner.run(
+                        subp_exec(
+                            *compose_cmd,
+                            *args,
+                            "down",
+                            "-v",
+                            "--remove-orphans",
+                            input=stdin,
+                            verbose=False,
+                        )
+                    )
+                finally:
+                    raise
+
+        set("")
+        base_url = f"http://localhost:{port}"
+        ok_url = f"{base_url}/ok"
+        print(f"Waiting for {ok_url} to respond with 200...")
+        deadline = time.time() + 30
+        last_err: Exception | None = None
+        while time.time() < deadline:
+            try:
+                with request.urlopen(ok_url, timeout=2) as resp:
+                    if resp.status == 200:
+                        sys.stdout.write(
+                            f"""Ready!\n- API: {base_url}\n- /ok: 200 OK\n"""
+                        )
+                        sys.stdout.flush()
+                        break
+                    else:
+                        last_err = RuntimeError(f"Unexpected status: {resp.status}")
+                        print(f"Unexpected status: {resp.status}")
+            except error.URLError as e:
+                last_err = e
+            except Exception as e:  # noqa: BLE001
+                last_err = e
+            time.sleep(0.5)
+        else:
+            # Bring stack down before raising
+            args_down = [*args, "down", "-v", "--remove-orphans"]
+            try:
+                runner.run(
+                    subp_exec(
+                        *compose_cmd,
+                        *args_down,
+                        input=stdin,
+                        verbose=verbose,
+                    )
+                )
+            finally:
+                raise SystemExit(
+                    f"/ok did not return 202 within timeout. Last error: {last_err}"
+                )
+
+        # Clean up: bring compose stack down to free ports for next test
+        args_down = [*args, "down", "-v", "--remove-orphans"]
+        runner.run(
+            subp_exec(
+                *compose_cmd,
+                *args_down,
+                input=stdin,
+                verbose=verbose,
+            )
+        )
 
 
 if __name__ == "__main__":
@@ -110,6 +148,6 @@ if __name__ == "__main__":
     parser = argparse.ArgumentParser()
     parser.add_argument("-t", "--tag", type=str)
     parser.add_argument("-c", "--config", type=str, default="./langgraph.json")
-    parser.add_argument("-p", "--port", default=DEFAULT_PORT)
+    parser.add_argument("-p", "--port", type=int, default=DEFAULT_PORT)
     args = parser.parse_args()
     test(pathlib.Path(args.config), args.port, args.tag, verbose=True)

.github/workflows/_integration_test.yml

@@ -19,7 +19,7 @@ jobs:
       run:
         working-directory: libs/cli
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Get changed files
         id: changed-files
         uses: Ana06/get-changed-files@v2.3.0
@@ -43,28 +43,43 @@ jobs:
       - name: Build and test service A
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
           # The build-arg isn't used; just testing that we accept other args
-          langgraph build -t langgraph-test-a  --base-image "langchain/langgraph-trial"
-          cp .env.example .envg
+          langgraph build -t langgraph-test-a
+          cp .env.example .env
+          if [ -n "${{ 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 -c langgraph.json -t langgraph-test-a
       - name: Build and test service B
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples/graphs
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          langgraph build -t langgraph-test-b  --base-image "langchain/langgraph-trial"
+          langgraph build -t langgraph-test-b
+          cp ../.env.example .env
+          if [ -n "${{ 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-b
       - name: Build and test service C
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples/graphs_reqs_a
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          langgraph build -t langgraph-test-c  --base-image "langchain/langgraph-trial"
+          langgraph build -t langgraph-test-c
+          cp ../.env.example .env
+          if [ -n "${{ 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-c
       - name: Build and test service D
         if: steps.changed-files.outputs.all
         working-directory: libs/cli/examples/graphs_reqs_b
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
         run: |
-          langgraph build -t langgraph-test-d  --base-image "langchain/langgraph-trial"
+          langgraph build -t langgraph-test-d
+          cp ../.env.example .env
+          if [ -n "${{ 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-d
 
       - name: Build JS service
@@ -72,3 +87,27 @@ jobs:
         working-directory: libs/cli/js-examples
         run: |
           langgraph build -t langgraph-test-e
+
+      - name: Build JS monorepo service
+        if: steps.changed-files.outputs.all
+        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
+        working-directory: libs/cli/python-monorepo-example
+        run: |
+          langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
+          cp apps/agent/.env.example 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 and test prerelease reqs service
+        if: steps.changed-files.outputs.all
+        working-directory: libs/cli/examples/graph_prerelease_reqs
+        run: |
+          langgraph build -t langgraph-test-h
+          cp ../.env.example .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

.github/workflows/_lint.yml

@@ -31,7 +31,7 @@ jobs:
           - "3.12"
     name: "lint #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Get changed files
         id: changed-files
         uses: Ana06/get-changed-files@v2.3.0

.github/workflows/_test.yml

@@ -25,7 +25,7 @@ jobs:
 
     name: "test #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v6
         with:

.github/workflows/_test_langgraph.yml

@@ -23,7 +23,7 @@ jobs:
         working-directory: libs/langgraph
     name: "test #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v6
         with:

.github/workflows/_test_release.yml

@@ -24,7 +24,7 @@ jobs:
       version: ${{ steps.check-version.outputs.version }}
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
 
       - name: Set up Python $${ env.PYTHON_VERSION }}
         uses: astral-sh/setup-uv@v6
@@ -75,9 +75,9 @@ jobs:
       id-token: write
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
 
-      - uses: actions/download-artifact@v4
+      - uses: actions/download-artifact@v5
         with:
           name: test-dist
           path: ${{ inputs.working-directory }}/dist/

.github/workflows/baseline.yml

@@ -17,7 +17,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
       - name: Set up Python 3.11
         uses: astral-sh/setup-uv@v6

.github/workflows/bench.yml

@@ -15,7 +15,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - id: files
         name: Get changed files
         uses: Ana06/get-changed-files@v2.3.0

.github/workflows/ci.yml

@@ -27,7 +27,7 @@ jobs:
       python: ${{ steps.filter.outputs.python }}
       deps: ${{ steps.filter.outputs.deps }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - uses: dorny/paths-filter@v3
         id: filter
         with:
@@ -78,6 +78,7 @@ jobs:
             "libs/checkpoint-sqlite",
             "libs/checkpoint-postgres",
             "libs/prebuilt",
+            "libs/sdk-py",
           ]
     if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
     uses: ./.github/workflows/_test.yml
@@ -99,9 +100,9 @@ jobs:
     name: "Check SDK methods matching"
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Set up Python
-        uses: actions/setup-python@v5
+        uses: actions/setup-python@v6
         with:
           python-version: "3.11"
       - name: Run check_sdk_methods script
@@ -117,7 +118,7 @@ jobs:
         python-version:
           - "3.11"
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v6
         with:

.github/workflows/codespell.yml

@@ -21,7 +21,7 @@
     
         steps:
           - name: Checkout
-            uses: actions/checkout@v4
+            uses: actions/checkout@v5
     
           - name: Install Dependencies
             run: |

.github/workflows/deploy_docs.yml

@@ -28,7 +28,7 @@ jobs:
     outputs:
       changed-files: ${{ steps.changed-files.outputs.added_modified }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Get changed files
         id: changed-files
         uses: Ana06/get-changed-files@v2.3.0
@@ -41,7 +41,7 @@ jobs:
     env:
       GITHUB_TOKEN: ${{ secrets.MKDOCS_GITHUB_TOKEN }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
         with:
           fetch-depth: 0
 
@@ -140,7 +140,7 @@ jobs:
 
       - name: Upload Pages Artifact
         # if: github.ref == 'refs/heads/main'
-        uses: actions/upload-pages-artifact@v3
+        uses: actions/upload-pages-artifact@v4
         with:
           path: ./docs/site/
 

.github/workflows/link_check.yml

@@ -19,7 +19,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 0
 
@@ -36,7 +36,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v4
+        uses: actions/checkout@v5
         with:
           fetch-depth: 1
 

.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@v5
+        uses: amannn/action-semantic-pull-request@v6
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
         with:
@@ -40,6 +40,7 @@ jobs:
             sdk-py
             docs
             ci
+            deps
           requireScope: false
           ignoreLabels: |
             ignore-lint-pr-title

.github/workflows/release.yml

@@ -26,7 +26,7 @@ jobs:
       tag: ${{ steps.check-version.outputs.tag }}
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v6
@@ -62,7 +62,13 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
         run: |
           PKG_NAME=$(grep -m 1 "^name = " pyproject.toml | cut -d '"' -f 2)
-          VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
+          if grep -q 'dynamic.*=.*\[.*"version".*\]' pyproject.toml; then
+            # handle dynamic versioning
+            DIR_NAME=$(echo "$PKG_NAME" | tr '-' '_')
+            VERSION=$(grep -m 1 '^__version__' "${DIR_NAME}/__init__.py" | cut -d '"' -f 2)
+          else
+            VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
+          fi
           SHORT_PKG_NAME="$(echo "$PKG_NAME" | sed -e 's/langgraph//g' -e 's/-//g')"
           if [ -z $SHORT_PKG_NAME ]; then
             TAG="$VERSION"
@@ -81,7 +87,7 @@ jobs:
     outputs:
       release-body: ${{ steps.generate-release-body.outputs.release-body }}
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
         with:
           repository: langchain-ai/langgraph
           path: langgraph
@@ -152,7 +158,7 @@ jobs:
       - test-pypi-publish
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
 
       # We explicitly *don't* set up caching here. This ensures our tests are
       # maximally sensitive to catching breakage.
@@ -255,7 +261,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v6
@@ -264,7 +270,7 @@ jobs:
           enable-cache: true
           cache-suffix: "release"
 
-      - uses: actions/download-artifact@v4
+      - uses: actions/download-artifact@v5
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/
@@ -296,7 +302,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v6
@@ -305,7 +311,7 @@ jobs:
           enable-cache: true
           cache-suffix: "release"
 
-      - uses: actions/download-artifact@v4
+      - uses: actions/download-artifact@v5
         with:
           name: dist
           path: ${{ inputs.working-directory }}/dist/

.github/workflows/run_notebooks.yml

@@ -28,7 +28,7 @@ jobs:
           - "latest"
 
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       - name: Set up Python + Poetry
         uses: astral-sh/setup-uv@v6
         with:

.github/workflows/uv_lock_ugprade.yml

@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
       
       - name: Set up uv
         uses: astral-sh/setup-uv@v6

README.md

@@ -71,7 +71,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 
 ## Additional resources
 
-- [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- [Guides](https://langchain-ai.github.io/langgraph/guides/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/examples/): 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.

docs/_scripts/js_translation/codeblocks/yarn.lock

@@ -2108,9 +2108,9 @@ __metadata:
   linkType: hard
 
 "hono@npm:^4.5.4":
-  version: 4.8.9
-  resolution: "hono@npm:4.8.9"
-  checksum: 10c0/385539d1787fdc747bc869ef0e5ccc9f39cbe40289b94f23eecfc82c6ca440f059704647cd6381a5066d2cf7baa43ab25184c78d44af4c5c98a5c5b07670059e
+  version: 4.9.6
+  resolution: "hono@npm:4.9.6"
+  checksum: 10c0/182a144eb3b9e05bd9e43d15af15c93f60d3d747fef6c6904b9993e9db8129ea7fadf6190331d6f76b1bf6dd2b2c3b13efea105236f541ef411397e30475422d
   languageName: node
   linkType: hard
 

docs/_scripts/notebook_hooks.py

@@ -190,11 +190,11 @@ REDIRECT_MAP = {
     "concepts/langgraph_cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
     "concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/hybrid",
     "concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted",
-    "concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#data-plane-only",
+    "concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#standalone-server",
     "cloud/deployment/cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
     "cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-hybrid",
     "cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-full-platform",
-    "cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-data-plane-only",
+    "cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-standalone-server",
     "concepts/server-mcp.md": "https://docs.langchain.com/langgraph-platform/server-mcp",
     "cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langgraph-platform/human-in-the-loop-time-travel",
     "cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langgraph-platform/add-human-in-the-loop",

docs/docs/agents/context.md

@@ -90,7 +90,7 @@ graph.invoke( # (1)!
     from langgraph.runtime import Runtime
 
     # highlight-next-line
-    def node(state: State, config: Runtime[ContextSchema]):
+    def node(state: State, runtime: Runtime[ContextSchema]):
         user_name = runtime.context.user_name
         ...
     ```

docs/docs/agents/multi-agent.md

@@ -367,13 +367,13 @@ To implement handoffs with `createReactAgent`, you need to:
 
 3.  Define a parent graph that contains individual agents as nodes:
 
-        ```typescript
-        import { StateGraph, MessagesZodState } from "@langchain/langgraph";
-        const multiAgentGraph = new StateGraph(MessagesZodState)
-          .addNode("flight_assistant", flightAssistant)
-          .addNode("hotel_assistant", hotelAssistant)
-          // ...
-        ```
+    ```typescript
+    import { StateGraph, MessagesZodState } from "@langchain/langgraph";
+    const multiAgentGraph = new StateGraph(MessagesZodState)
+      .addNode("flight_assistant", flightAssistant)
+      .addNode("hotel_assistant", hotelAssistant)
+      // ...
+    ```
 
     :::
 
@@ -619,7 +619,8 @@ for await (const chunk of multiAgentGraph.stream({
 3. Name of the agent or node to hand off to.
 4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
 5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
-   :::
+
+:::
 
 !!! Note
 

docs/docs/cloud/deployment/cloud.md

@@ -99,8 +99,8 @@ Starting from the `LangGraph Platform` view...
 1. In the top-right corner, select the gear icon (`Deployment Settings`).
 1. Update the `Git Branch` to the desired branch.
 1. Check/uncheck checkbox to `Automatically update deployment on push to branch`.
-    1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
-    1. Pushes in quick succession to a branch will not trigger subsequent updates. In the future, this functionality may be changed/improved.
+1. Branch creation/deletion and tag creation/deletion events will not trigger an update. Only pushes to an existing branch will trigger an update.
+1. Pushes in quick succession to a branch will queue subsequent updates. Once a build completes, the most recent commit will begin building and the other queued builds will be skipped.
 
 ## Add or Remove GitHub Repositories
 

docs/docs/cloud/reference/cli.md

@@ -483,19 +483,19 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
 
     RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt langchain_community langchain_anthropic langchain_openai wikipedia scikit-learn
 
-    ADD ./graphs /deps/__outer_graphs/src
+    ADD ./graphs /deps/outer-graphs/src
     RUN set -ex && \
         for line in '[project]' \
                     'name = "graphs"' \
                     'version = "0.1"' \
                     '[tool.setuptools.package-data]' \
                     '"*" = ["**/*"]'; do \
-            echo "$line" >> /deps/__outer_graphs/pyproject.toml; \
+            echo "$line" >> /deps/outer-graphs/pyproject.toml; \
         done
 
     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"}'
+    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"

docs/docs/concepts/low_level.md

@@ -1040,7 +1040,7 @@ def node_a(state: State, runtime: Runtime[ContextSchema]):
     ...
 ```
 
-See [this guide](../how-tos/graph-api.ipynb#add-runtime-configuration) for a full breakdown on configuration.
+See [this guide](../how-tos/graph-api.md#add-runtime-configuration) for a full breakdown on configuration.
 :::
 
 :::js

docs/docs/concepts/mcp.md

@@ -6,7 +6,14 @@
 
 Install the `langchain-mcp-adapters` library to use MCP tools in LangGraph:
 
+:::python
 ```bash
 pip install langchain-mcp-adapters
 ```
+:::
 
+:::js
+```bash
+npm install @langchain/mcp-adapters
+```
+:::

docs/docs/concepts/memory.md

@@ -134,7 +134,7 @@ def update_instructions(state: State, store: BaseStore):
     namespace = ("instructions",)
     current_instructions = store.search(namespace)[0]
     # Memory logic
-    prompt = prompt_template.format(instructions=instructions.value["instructions"], conversation=state["messages"])
+    prompt = prompt_template.format(instructions=current_instructions.value["instructions"], conversation=state["messages"])
     output = llm.invoke(prompt)
     new_instructions = output['new_instructions']
     store.put(("agent_instructions",), "agent_a", {"instructions": new_instructions})
@@ -278,4 +278,4 @@ const items = await store.search(
 ```
 :::
 
-For more information about the memory store, see the [Persistence](persistence.md#memory-store) guide.
+For more information about the memory store, see the [Persistence](persistence.md#memory-store) guide.

docs/docs/concepts/multi_agent.md

@@ -897,5 +897,5 @@ There are two high-level approaches to achieve that:
 
 An agent might need to have a different state schema from the rest of the agents. For example, a search agent might only need to keep track of queries and retrieved documents. There are two ways to achieve this in LangGraph:
 
-- Define [subgraph](./subgraphs.md) agents with a separate state schema. If there are no shared state keys (channels) between the subgraph and the parent graph, it's important to [add input / output transformations](../how-tos/subgraph.ipynb#different-state-schemas) so that the parent graph knows how to communicate with the subgraphs.
-- Define agent node functions with a [private input state schema](../how-tos/graph-api.ipynb#pass-private-state-between-nodes) that is distinct from the overall graph state schema. This allows passing information that is only needed for executing that particular agent.
+- Define [subgraph](./subgraphs.md) agents with a separate state schema. If there are no shared state keys (channels) between the subgraph and the parent graph, it's important to [add input / output transformations](../how-tos/subgraph.md#different-state-schemas) so that the parent graph knows how to communicate with the subgraphs.
+- Define agent node functions with a [private input state schema](../how-tos/graph-api.md#pass-private-state-between-nodes) that is distinct from the overall graph state schema. This allows passing information that is only needed for executing that particular agent.

docs/docs/concepts/persistence.md

@@ -315,7 +315,8 @@ In our example, the output of `get_state_history` will look like this:
         tasks=(),
     ),
     StateSnapshot(
-        values={'foo': 'a', 'bar': ['a']}, next=('node_b',),
+        values={'foo': 'a', 'bar': ['a']},
+        next=('node_b',),
         config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef663ba-28f9-6ec4-8001-31981c2c39f8'}},
         metadata={'source': 'loop', 'writes': {'node_a': {'foo': 'a', 'bar': ['a']}}, 'step': 1},
         created_at='2024-08-29T19:19:38.819946+00:00',

docs/docs/concepts/plans.md

@@ -12,7 +12,7 @@ There are three different plans for using it.
 
 - **Developer**: All [LangSmith](https://smith.langchain.com/) users have access to this plan. You can sign up for this plan simply by creating a LangSmith account. This gives you access to the [local deployment](./deployment_options.md#free-deployment) option.
 - **Plus**: All [LangSmith](https://smith.langchain.com/) users with a [Plus account](https://docs.smith.langchain.com/administration/pricing) have access to this plan. You can sign up for this plan simply by upgrading your LangSmith account to the Plus plan type. This gives you access to the [Cloud](./deployment_options.md#cloud-saas) deployment option.
-- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by contacting sales@langchain.dev. This gives you access to all [deployment options](./deployment_options.md).
+- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by [contacting our sales team](https://www.langchain.com/contact-sales). This gives you access to all [deployment options](./deployment_options.md).
 
 
 ## Plan Details

docs/docs/how-tos/human_in_the_loop/add-human-in-the-loop.md

@@ -366,8 +366,8 @@ result = graph.invoke(
 
 # Resume with mapping of interrupt IDs to values
 resume_map = {
-    i.interrupt_id: f"human input for prompt {i.value}"
-    for i in parent.get_state(thread_config).interrupts
+    i.id: f"edited text for {i.value['text_to_revise']}"
+    for i in graph.get_state(config).interrupts
 }
 print(graph.invoke(Command(resume=resume_map), config=config))
 # > {'text_1': 'edited text for original text 1', 'text_2': 'edited text for original text 2'}

docs/docs/how-tos/multi_agent.md

@@ -22,6 +22,7 @@ To set up communication between the agents in a multi-agent system you can use [
 
 To implement handoffs, you can return `Command` objects from your agent nodes or tools:
 
+:::python
 ```python
 from typing import Annotated
 from langchain_core.tools import tool, InjectedToolCallId
@@ -73,25 +74,109 @@ def create_handoff_tool(*, agent_name: str, description: str | None = None):
         commands = [tools_by_name[tool_call["name"]].invoke(tool_call) for tool_call in tool_calls]
         return commands
     ```
+:::
+
+:::js
+```typescript
+import { tool } from "@langchain/core/tools";
+import { Command, MessagesZodState } from "@langchain/langgraph";
+import { z } from "zod";
+
+function createHandoffTool({
+  agentName,
+  description,
+}: {
+  agentName: string;
+  description?: string;
+}) {
+  const name = `transfer_to_${agentName}`;
+  const toolDescription = description || `Transfer to ${agentName}`;
+
+  return tool(
+    async (_, config) => {
+      // (1)!
+      const state = config.state;
+      const toolCallId = config.toolCall.id;
+
+      const toolMessage = {
+        role: "tool" as const,
+        content: `Successfully transferred to ${agentName}`,
+        name: name,
+        tool_call_id: toolCallId,
+      };
+
+      return new Command({
+        // (3)!
+        goto: agentName,
+        // (4)!
+        update: { messages: [...state.messages, toolMessage] },
+        // (5)!
+        graph: Command.PARENT,
+      });
+    },
+    {
+      name,
+      description: toolDescription,
+      schema: z.object({}),
+    }
+  );
+}
+```
+
+1. Access the [state](../concepts/low_level.md#state) of the agent that is calling the handoff tool through the `config` parameter.
+2. The `Command` primitive allows specifying a state update and a node transition as a single operation, making it useful for implementing handoffs.
+3. Name of the agent or node to hand off to.
+4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
+5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
+
+!!! tip
+
+    If you want to use tools that return `Command`, you can either use prebuilt @[`create_react_agent`][create_react_agent] / @[`ToolNode`][ToolNode] components, or implement your own tool-executing node that collects `Command` objects returned by the tools and returns a list of them, e.g.:
+    
+    ```typescript
+    const callTools = async (state) => {
+      // ...
+      const commands = await Promise.all(
+        toolCalls.map(toolCall => toolsByName[toolCall.name].invoke(toolCall))
+      );
+      return commands;
+    };
+    ```
+:::
 
 !!! Important
 
     This handoff implementation assumes that:
     
-      - each agent receives overall message history (across all agents) in the multi-agent system as its input. If you want more control over agent inputs, see [this section](#control-agent-inputs)
-      - each agent outputs its internal messages history to the overall message history of the multi-agent system. If you want more control over **how agent outputs are added**, wrap the agent in a separate node function:
+    - each agent receives overall message history (across all agents) in the multi-agent system as its input. If you want more control over agent inputs, see [this section](#control-agent-inputs)
+    - each agent outputs its internal messages history to the overall message history of the multi-agent system. If you want more control over **how agent outputs are added**, wrap the agent in a separate node function:
 
-        ```python
-        def call_hotel_assistant(state):
-            # return agent's final response,
-            # excluding inner monologue
-            response = hotel_assistant.invoke(state)
-            # highlight-next-line
-            return {"messages": response["messages"][-1]}
-        ```
+      :::python
+      ```python
+      def call_hotel_assistant(state):
+          # return agent's final response,
+          # excluding inner monologue
+          response = hotel_assistant.invoke(state)
+          # highlight-next-line
+          return {"messages": response["messages"][-1]}
+      ```
+      :::
+
+      :::js
+      ```typescript
+      const callHotelAssistant = async (state) => {
+        // return agent's final response,
+        // excluding inner monologue
+        const response = await hotelAssistant.invoke(state);
+        // highlight-next-line
+        return { messages: [response.messages.at(-1)] };
+      };
+      ```
+      :::
 
 ### Control agent inputs
 
+:::python
 You can use the @[`Send()`][Send] primitive to directly send data to the worker agents during the handoff. For example, you can request that the calling agent populate a task description for the next agent:
 
 ```python
@@ -129,6 +214,63 @@ def create_task_description_handoff_tool(
 
     return handoff_tool
 ```
+:::
+
+:::js
+You can use the @[`Send()`][Send] primitive to directly send data to the worker agents during the handoff. For example, you can request that the calling agent populate a task description for the next agent:
+
+```typescript
+import { tool } from "@langchain/core/tools";
+import { Command, Send, MessagesZodState } from "@langchain/langgraph";
+import { z } from "zod";
+
+function createTaskDescriptionHandoffTool({
+  agentName,
+  description,
+}: {
+  agentName: string;
+  description?: string;
+}) {
+  const name = `transfer_to_${agentName}`;
+  const toolDescription = description || `Ask ${agentName} for help.`;
+
+  return tool(
+    async (
+      { taskDescription },
+      config
+    ) => {
+      const state = config.state;
+      
+      const taskDescriptionMessage = {
+        role: "user" as const,
+        content: taskDescription,
+      };
+      const agentInput = {
+        ...state,
+        messages: [taskDescriptionMessage],
+      };
+      
+      return new Command({
+        // highlight-next-line
+        goto: [new Send(agentName, agentInput)],
+        graph: Command.PARENT,
+      });
+    },
+    {
+      name,
+      description: toolDescription,
+      schema: z.object({
+        taskDescription: z
+          .string()
+          .describe(
+            "Description of what the next agent should do, including all of the relevant context."
+          ),
+      }),
+    }
+  );
+}
+```
+:::
 
 See the multi-agent [supervisor](../tutorials/multi_agent/agent_supervisor.md#4-create-delegation-tasks) example for a full example of using @[`Send()`][Send] in handoffs.
 
@@ -136,6 +278,7 @@ See the multi-agent [supervisor](../tutorials/multi_agent/agent_supervisor.md#4-
 
 You can use handoffs in any agents built with LangGraph. We recommend using the prebuilt [agent](../agents/overview.md) or [`ToolNode`](./tool-calling.md#toolnode), as they natively support handoffs tools returning `Command`. Below is an example of how you can implement a multi-agent system for booking travel using handoffs:
 
+:::python
 ```python
 from langgraph.prebuilt import create_react_agent
 from langgraph.graph import StateGraph, START, MessagesState
@@ -176,9 +319,65 @@ multi_agent_graph = (
     .compile()
 )
 ```
+:::
+
+:::js
+```typescript
+import { createReactAgent } from "@langchain/langgraph/prebuilt";
+import { StateGraph, START, MessagesZodState } from "@langchain/langgraph";
+import { z } from "zod";
+
+function createHandoffTool({
+  agentName,
+  description,
+}: {
+  agentName: string;
+  description?: string;
+}) {
+  // same implementation as above
+  // ...
+  return new Command(/* ... */);
+}
+
+// Handoffs
+const transferToHotelAssistant = createHandoffTool({
+  agentName: "hotel_assistant",
+});
+const transferToFlightAssistant = createHandoffTool({
+  agentName: "flight_assistant",
+});
+
+// Define agents
+const flightAssistant = createReactAgent({
+  llm: model,
+  // highlight-next-line
+  tools: [/* ... */, transferToHotelAssistant],
+  // highlight-next-line
+  name: "flight_assistant",
+});
+
+const hotelAssistant = createReactAgent({
+  llm: model,
+  // highlight-next-line
+  tools: [/* ... */, transferToFlightAssistant],
+  // highlight-next-line
+  name: "hotel_assistant",
+});
+
+// Define multi-agent graph
+const multiAgentGraph = new StateGraph(MessagesZodState)
+  // highlight-next-line
+  .addNode("flight_assistant", flightAssistant)
+  // highlight-next-line
+  .addNode("hotel_assistant", hotelAssistant)
+  .addEdge(START, "flight_assistant")
+  .compile();
+```
+:::
 
 ??? example "Full example: Multi-agent system for booking travel"
 
+    :::python
     ```python
     from typing import Annotated
     from langchain_core.messages import convert_to_messages
@@ -323,6 +522,183 @@ multi_agent_graph = (
     3. Name of the agent or node to hand off to.
     4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
     5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
+    :::
+
+    :::js
+    ```typescript
+    import { tool } from "@langchain/core/tools";
+    import { createReactAgent } from "@langchain/langgraph/prebuilt";
+    import { StateGraph, START, MessagesZodState, Command } from "@langchain/langgraph";
+    import { ChatAnthropic } from "@langchain/anthropic";
+    import { isBaseMessage } from "@langchain/core/messages";
+    import { z } from "zod";
+
+    // We'll use a helper to render the streamed agent outputs nicely
+    const prettyPrintMessages = (update: Record<string, any>) => {
+      // Handle tuple case with namespace
+      if (Array.isArray(update)) {
+        const [ns, updateData] = update;
+        // Skip parent graph updates in the printouts
+        if (ns.length === 0) {
+          return;
+        }
+
+        const graphId = ns[ns.length - 1].split(":")[0];
+        console.log(`Update from subgraph ${graphId}:\n`);
+        update = updateData;
+      }
+
+      for (const [nodeName, updateValue] of Object.entries(update)) {
+        console.log(`Update from node ${nodeName}:\n`);
+
+        const messages = updateValue.messages || [];
+        for (const message of messages) {
+          if (isBaseMessage(message)) {
+            const textContent =
+              typeof message.content === "string"
+                ? message.content
+                : JSON.stringify(message.content);
+            console.log(`${message.getType()}: ${textContent}`);
+          }
+        }
+        console.log("\n");
+      }
+    };
+
+    function createHandoffTool({
+      agentName,
+      description,
+    }: {
+      agentName: string;
+      description?: string;
+    }) {
+      const name = `transfer_to_${agentName}`;
+      const toolDescription = description || `Transfer to ${agentName}`;
+
+      return tool(
+        async (_, config) => {
+          // highlight-next-line
+          const state = config.state; // (1)!
+          const toolCallId = config.toolCall.id;
+
+          const toolMessage = {
+            role: "tool" as const,
+            content: `Successfully transferred to ${agentName}`,
+            name: name,
+            tool_call_id: toolCallId,
+          };
+
+          return new Command({
+            // highlight-next-line
+            goto: agentName, // (3)!
+            // highlight-next-line
+            update: { messages: [...state.messages, toolMessage] }, // (4)!
+            // highlight-next-line
+            graph: Command.PARENT, // (5)!
+          });
+        },
+        {
+          name,
+          description: toolDescription,
+          schema: z.object({}),
+        }
+      );
+    }
+
+    // Handoffs
+    const transferToHotelAssistant = createHandoffTool({
+      agentName: "hotel_assistant",
+      description: "Transfer user to the hotel-booking assistant.",
+    });
+
+    const transferToFlightAssistant = createHandoffTool({
+      agentName: "flight_assistant",
+      description: "Transfer user to the flight-booking assistant.",
+    });
+
+    // Simple agent tools
+    const bookHotel = tool(
+      async ({ hotelName }) => {
+        return `Successfully booked a stay at ${hotelName}.`;
+      },
+      {
+        name: "book_hotel",
+        description: "Book a hotel",
+        schema: z.object({
+          hotelName: z.string(),
+        }),
+      }
+    );
+
+    const bookFlight = tool(
+      async ({ fromAirport, toAirport }) => {
+        return `Successfully booked a flight from ${fromAirport} to ${toAirport}.`;
+      },
+      {
+        name: "book_flight",
+        description: "Book a flight",
+        schema: z.object({
+          fromAirport: z.string(),
+          toAirport: z.string(),
+        }),
+      }
+    );
+
+    const model = new ChatAnthropic({
+      model: "claude-3-5-sonnet-latest",
+    });
+
+    // Define agents
+    const flightAssistant = createReactAgent({
+      llm: model,
+      // highlight-next-line
+      tools: [bookFlight, transferToHotelAssistant],
+      prompt: "You are a flight booking assistant",
+      // highlight-next-line
+      name: "flight_assistant",
+    });
+
+    const hotelAssistant = createReactAgent({
+      llm: model,
+      // highlight-next-line
+      tools: [bookHotel, transferToFlightAssistant],
+      prompt: "You are a hotel booking assistant",
+      // highlight-next-line
+      name: "hotel_assistant",
+    });
+
+    // Define multi-agent graph
+    const multiAgentGraph = new StateGraph(MessagesZodState)
+      .addNode("flight_assistant", flightAssistant)
+      .addNode("hotel_assistant", hotelAssistant)
+      .addEdge(START, "flight_assistant")
+      .compile();
+
+    // Run the multi-agent graph
+    const stream = await multiAgentGraph.stream(
+      {
+        messages: [
+          {
+            role: "user",
+            content: "book a flight from BOS to JFK and a stay at McKittrick Hotel",
+          },
+        ],
+      },
+      // highlight-next-line
+      { subgraphs: true }
+    );
+
+    for await (const chunk of stream) {
+      prettyPrintMessages(chunk);
+    }
+    ```
+
+    1. Access agent's state
+    2. The `Command` primitive allows specifying a state update and a node transition as a single operation, making it useful for implementing handoffs.
+    3. Name of the agent or node to hand off to.
+    4. Take the agent's messages and **add** them to the parent's **state** as part of the handoff. The next agent will see the parent state.
+    5. Indicate to LangGraph that we need to navigate to agent node in a **parent** multi-agent graph.
+    :::
 
 ## Multi-turn conversation
 
@@ -333,6 +709,7 @@ The agents can then be implemented as nodes in a graph that executes agent steps
 1. **Wait for user input** to continue the conversation, or  
 2. **Route to another agent** (or back to itself, such as in a loop) via a [handoff](#handoffs)
 
+:::python
 ```python
 def human(state) -> Command[Literal["agent", "another_agent"]]:
     """A node for collecting user input."""
@@ -360,6 +737,44 @@ def agent(state) -> Command[Literal["agent", "another_agent", "human"]]:
     else:
         return Command(goto="human") # Go to human node
 ```
+:::
+
+:::js
+```typescript
+import { interrupt, Command } from "@langchain/langgraph";
+
+function human(state: MessagesState): Command {
+  const userInput: string = interrupt("Ready for user input.");
+
+  // Determine the active agent
+  const activeAgent = /* ... */;
+
+  return new Command({
+    update: {
+      messages: [{
+        role: "human",
+        content: userInput,
+      }]
+    },
+    goto: activeAgent,
+  });
+}
+
+function agent(state: MessagesState): Command {
+  // The condition for routing/halting can be anything, e.g. LLM tool call / structured output, etc.
+  const goto = getNextAgent(/* ... */); // 'agent' / 'anotherAgent'
+
+  if (goto) {
+    return new Command({
+      goto,
+      update: { myStateKey: "myStateValue" }
+    });
+  }
+
+  return new Command({ goto: "human" });
+}
+```
+:::
 
 ??? example "Full example: multi-agent system for travel recommendations"
 
@@ -370,6 +785,7 @@ def agent(state) -> Command[Literal["agent", "another_agent", "human"]]:
     * travel_advisor: can help with travel destination recommendations. Can ask hotel_advisor for help.
     * hotel_advisor: can help with hotel recommendations. Can ask travel_advisor for help.
 
+    :::python
     ```python
     from langchain_anthropic import ChatAnthropic
     from langgraph.graph import MessagesState, StateGraph, START
@@ -571,10 +987,267 @@ def agent(state) -> Command[Literal["agent", "another_agent", "human"]]:
     
     Would you like more specific information about any of these activities or would you like to know about other options in the area?
     ```
+    :::
+
+    :::js
+    ```typescript
+    import { ChatAnthropic } from "@langchain/anthropic";
+    import { StateGraph, START, MessagesZodState, Command, interrupt, MemorySaver } from "@langchain/langgraph";
+    import { createReactAgent } from "@langchain/langgraph/prebuilt";
+    import { tool } from "@langchain/core/tools";
+    import { z } from "zod";
+
+    const model = new ChatAnthropic({ model: "claude-3-5-sonnet-latest" });
+
+    const MultiAgentState = MessagesZodState.extend({
+      lastActiveAgent: z.string().optional(),
+    });
+
+    // Define travel advisor tools
+    const getTravelRecommendations = tool(
+      async () => {
+        // Placeholder implementation
+        return "Based on current trends, I recommend visiting Japan, Portugal, or New Zealand.";
+      },
+      {
+        name: "get_travel_recommendations",
+        description: "Get current travel destination recommendations",
+        schema: z.object({}),
+      }
+    );
+
+    const makeHandoffTool = (agentName: string) => {
+      return tool(
+        async (_, config) => {
+          const state = config.state;
+          const toolCallId = config.toolCall.id;
+
+          const toolMessage = {
+            role: "tool" as const,
+            content: `Successfully transferred to ${agentName}`,
+            name: `transfer_to_${agentName}`,
+            tool_call_id: toolCallId,
+          };
+
+          return new Command({
+            goto: agentName,
+            update: { messages: [...state.messages, toolMessage] },
+            graph: Command.PARENT,
+          });
+        },
+        {
+          name: `transfer_to_${agentName}`,
+          description: `Transfer to ${agentName}`,
+          schema: z.object({}),
+        }
+      );
+    };
+
+    const travelAdvisorTools = [
+      getTravelRecommendations,
+      makeHandoffTool("hotel_advisor"),
+    ];
+
+    const travelAdvisor = createReactAgent({
+      llm: model,
+      tools: travelAdvisorTools,
+      prompt: [
+        "You are a general travel expert that can recommend travel destinations (e.g. countries, cities, etc). ",
+        "If you need hotel recommendations, ask 'hotel_advisor' for help. ",
+        "You MUST include human-readable response before transferring to another agent."
+      ].join("")
+    });
+
+    const callTravelAdvisor = async (
+      state: z.infer<typeof MultiAgentState>
+    ): Promise<Command> => {
+      const response = await travelAdvisor.invoke(state);
+      const update = { ...response, lastActiveAgent: "travel_advisor" };
+      return new Command({ update, goto: "human" });
+    };
+
+    // Define hotel advisor tools
+    const getHotelRecommendations = tool(
+      async () => {
+        // Placeholder implementation
+        return "I recommend the Ritz-Carlton for luxury stays or boutique hotels for unique experiences.";
+      },
+      {
+        name: "get_hotel_recommendations",
+        description: "Get hotel recommendations for destinations",
+        schema: z.object({}),
+      }
+    );
+
+    const hotelAdvisorTools = [
+      getHotelRecommendations,
+      makeHandoffTool("travel_advisor"),
+    ];
+
+    const hotelAdvisor = createReactAgent({
+      llm: model,
+      tools: hotelAdvisorTools,
+      prompt: [
+        "You are a hotel expert that can provide hotel recommendations for a given destination. ",
+        "If you need help picking travel destinations, ask 'travel_advisor' for help.",
+        "You MUST include human-readable response before transferring to another agent."
+      ].join("")
+    });
+
+    const callHotelAdvisor = async (
+      state: z.infer<typeof MultiAgentState>
+    ): Promise<Command> => {
+      const response = await hotelAdvisor.invoke(state);
+      const update = { ...response, lastActiveAgent: "hotel_advisor" };
+      return new Command({ update, goto: "human" });
+    };
+
+    const humanNode = async (
+      state: z.infer<typeof MultiAgentState>
+    ): Promise<Command> => {
+      const userInput: string = interrupt("Ready for user input.");
+      const activeAgent = state.lastActiveAgent || "travel_advisor";
+
+      return new Command({
+        update: {
+          messages: [
+            {
+              role: "human",
+              content: userInput,
+            }
+          ]
+        },
+        goto: activeAgent,
+      });
+    };
+
+    const builder = new StateGraph(MultiAgentState)
+      .addNode("travel_advisor", callTravelAdvisor)
+      .addNode("hotel_advisor", callHotelAdvisor)
+      .addNode("human", humanNode)
+      .addEdge(START, "travel_advisor");
+
+    const checkpointer = new MemorySaver();
+    const graph = builder.compile({ checkpointer });
+    ```
+    
+    Let's test a multi turn conversation with this application.
+
+    ```typescript
+    import { v4 as uuidv4 } from "uuid";
+    import { Command } from "@langchain/langgraph";
+
+    const threadConfig = { configurable: { thread_id: uuidv4() } };
+
+    const inputs = [
+      // 1st round of conversation
+      {
+        messages: [
+          { role: "user", content: "i wanna go somewhere warm in the caribbean" }
+        ]
+      },
+      // Since we're using `interrupt`, we'll need to resume using the Command primitive.
+      // 2nd round of conversation
+      new Command({
+        resume: "could you recommend a nice hotel in one of the areas and tell me which area it is."
+      }),
+      // 3rd round of conversation
+      new Command({
+        resume: "i like the first one. could you recommend something to do near the hotel?"
+      }),
+    ];
+
+    for (const [idx, userInput] of inputs.entries()) {
+      console.log();
+      console.log(`--- Conversation Turn ${idx + 1} ---`);
+      console.log();
+      console.log(`User: ${JSON.stringify(userInput)}`);
+      console.log();
+      
+      for await (const update of await graph.stream(
+        userInput,
+        { ...threadConfig, streamMode: "updates" }
+      )) {
+        for (const [nodeId, value] of Object.entries(update)) {
+          if (value?.messages?.length) {
+            const lastMessage = value.messages.at(-1);
+            if (lastMessage?.getType?.() === "ai") {
+              console.log(`${nodeId}: ${lastMessage.content}`);
+            }
+          }
+        }
+      }
+    }
+    ```
+    
+    ```
+    --- Conversation Turn 1 ---
+    
+    User: {"messages":[{"role":"user","content":"i wanna go somewhere warm in the caribbean"}]}
+    
+    travel_advisor: Based on the recommendations, Aruba would be an excellent choice for your Caribbean getaway! Aruba is known as "One Happy Island" and offers:
+    - Year-round warm weather with consistent temperatures around 82°F (28°C)
+    - Beautiful white sand beaches like Eagle Beach and Palm Beach
+    - Clear turquoise waters perfect for swimming and snorkeling
+    - Minimal rainfall and location outside the hurricane belt
+    - A blend of Caribbean and Dutch culture
+    - Great dining options and nightlife
+    - Various water sports and activities
+    
+    Would you like me to get some specific hotel recommendations in Aruba for your stay? I can transfer you to our hotel advisor who can help with accommodations.
+    
+    --- Conversation Turn 2 ---
+    
+    User: Command { resume: 'could you recommend a nice hotel in one of the areas and tell me which area it is.' }
+    
+    hotel_advisor: Based on the recommendations, I can suggest two excellent options:
+    
+    1. The Ritz-Carlton, Aruba - Located in Palm Beach
+    - This luxury resort is situated in the vibrant Palm Beach area
+    - Known for its exceptional service and amenities
+    - Perfect if you want to be close to dining, shopping, and entertainment
+    - Features multiple restaurants, a casino, and a world-class spa
+    - Located on a pristine stretch of Palm Beach
+    
+    2. Bucuti & Tara Beach Resort - Located in Eagle Beach
+    - An adults-only boutique resort on Eagle Beach
+    - Known for being more intimate and peaceful
+    - Award-winning for its sustainability practices
+    - Perfect for a romantic getaway or peaceful vacation
+    - Located on one of the most beautiful beaches in the Caribbean
+    
+    Would you like more specific information about either of these properties or their locations?
+    
+    --- Conversation Turn 3 ---
+    
+    User: Command { resume: 'i like the first one. could you recommend something to do near the hotel?' }
+    
+    travel_advisor: Near the Ritz-Carlton in Palm Beach, here are some highly recommended activities:
+    
+    1. Visit the Palm Beach Plaza Mall - Just a short walk from the hotel, featuring shopping, dining, and entertainment
+    2. Try your luck at the Stellaris Casino - It's right in the Ritz-Carlton
+    3. Take a sunset sailing cruise - Many depart from the nearby pier
+    4. Visit the California Lighthouse - A scenic landmark just north of Palm Beach
+    5. Enjoy water sports at Palm Beach:
+       - Jet skiing
+       - Parasailing
+       - Snorkeling
+       - Stand-up paddleboarding
+    
+    Would you like more specific information about any of these activities or would you like to know about other options in the area?
+    ```
+    :::
 
 ## Prebuilt implementations
 
 LangGraph comes with prebuilt implementations of two of the most popular multi-agent architectures:
 
+:::python
 - [supervisor](../agents/multi-agent.md#supervisor) — individual agents are coordinated by a central supervisor agent. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements. You can use [`langgraph-supervisor`](https://github.com/langchain-ai/langgraph-supervisor-py) library to create a supervisor multi-agent systems.
-- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-py) library to create a swarm multi-agent systems. 
+- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-py) library to create a swarm multi-agent systems.
+:::
+
+:::js
+- [supervisor](../agents/multi-agent.md#supervisor) — individual agents are coordinated by a central supervisor agent. The supervisor controls all communication flow and task delegation, making decisions about which agent to invoke based on the current context and task requirements. You can use [`langgraph-supervisor`](https://github.com/langchain-ai/langgraph-supervisor-js) library to create a supervisor multi-agent systems.
+- [swarm](../agents/multi-agent.md#supervisor) — agents dynamically hand off control to one another based on their specializations. The system remembers which agent was last active, ensuring that on subsequent interactions, the conversation resumes with that agent. You can use [`langgraph-swarm`](https://github.com/langchain-ai/langgraph-swarm-js) library to create a swarm multi-agent systems.
+:::

docs/docs/how-tos/subgraph.md

@@ -9,11 +9,20 @@ When adding subgraphs, you need to define how the parent graph and the subgraph
 
 ## Setup
 
+:::python
 ```bash
 pip install -U langgraph
 ```
+:::
+
+:::js
+```bash
+npm install @langchain/langgraph
+```
+:::
 
 !!! tip "Set up LangSmith for LangGraph development"
+
     Sign up for [LangSmith](https://smith.langchain.com) to quickly spot issues and improve the performance of your LangGraph projects. LangSmith lets you use trace data to debug, test, and monitor your LLM apps built with LangGraph — read more about how to get started [here](https://docs.smith.langchain.com).
 
 ## Shared state schemas
@@ -22,6 +31,7 @@ A common case is for the parent graph and subgraph to communicate over a shared
 
 If your subgraph shares state keys with the parent graph, you can follow these steps to add it to your graph:
 
+:::python
 1. Define the subgraph workflow (`subgraph_builder` in the example below) and compile it
 2. Pass compiled subgraph to the `.add_node` method when defining the parent graph workflow
 
@@ -49,9 +59,41 @@ builder.add_node("node_1", subgraph)
 builder.add_edge(START, "node_1")
 graph = builder.compile()
 ```
+:::
+
+:::js
+1. Define the subgraph workflow (`subgraphBuilder` in the example below) and compile it
+2. Pass compiled subgraph to the `.addNode` method when defining the parent graph workflow
+
+```typescript
+import { StateGraph, START } from "@langchain/langgraph";
+import { z } from "zod";
+
+const State = z.object({
+  foo: z.string(),
+});
+
+// Subgraph
+const subgraphBuilder = new StateGraph(State)
+  .addNode("subgraphNode1", (state) => {
+    return { foo: "hi! " + state.foo };
+  })
+  .addEdge(START, "subgraphNode1");
+
+const subgraph = subgraphBuilder.compile();
+
+// Parent graph
+const builder = new StateGraph(State)
+  .addNode("node1", subgraph)
+  .addEdge(START, "node1");
+
+const graph = builder.compile();
+```
+:::
 
 ??? example "Full example: shared state schemas"
 
+    :::python
     ```python
     from typing_extensions import TypedDict
     from langgraph.graph.state import StateGraph, START
@@ -101,6 +143,61 @@ graph = builder.compile()
     {'node_1': {'foo': 'hi! foo'}}
     {'node_2': {'foo': 'hi! foobar'}}
     ```
+    :::
+
+    :::js
+    ```typescript
+    import { StateGraph, START } from "@langchain/langgraph";
+    import { z } from "zod";
+
+    // Define subgraph
+    const SubgraphState = z.object({
+      foo: z.string(),  // (1)! 
+      bar: z.string(),  // (2)!
+    });
+    
+    const subgraphBuilder = new StateGraph(SubgraphState)
+      .addNode("subgraphNode1", (state) => {
+        return { bar: "bar" };
+      })
+      .addNode("subgraphNode2", (state) => {
+        // note that this node is using a state key ('bar') that is only available in the subgraph
+        // and is sending update on the shared state key ('foo')
+        return { foo: state.foo + state.bar };
+      })
+      .addEdge(START, "subgraphNode1")
+      .addEdge("subgraphNode1", "subgraphNode2");
+    
+    const subgraph = subgraphBuilder.compile();
+    
+    // Define parent graph
+    const ParentState = z.object({
+      foo: z.string(),
+    });
+    
+    const builder = new StateGraph(ParentState)
+      .addNode("node1", (state) => {
+        return { foo: "hi! " + state.foo };
+      })
+      .addNode("node2", subgraph)
+      .addEdge(START, "node1")
+      .addEdge("node1", "node2");
+    
+    const graph = builder.compile();
+    
+    for await (const chunk of await graph.stream({ foo: "foo" })) {
+      console.log(chunk);
+    }
+    ```
+
+    3. This key is shared with the parent graph state
+    4. This key is private to the `SubgraphState` and is not visible to the parent graph
+    
+    ```
+    { node1: { foo: 'hi! foo' } }
+    { node2: { foo: 'hi! foobar' } }
+    ```
+    :::
 
 ## Different state schemas
 
@@ -108,6 +205,7 @@ For more complex systems you might want to define subgraphs that have a **comple
 
 If that's the case for your application, you need to define a node **function that invokes the subgraph**. This function needs to transform the input (parent) state to the subgraph state before invoking the subgraph, and transform the results back to the parent state before returning the state update from the node.
 
+:::python
 ```python
 from typing_extensions import TypedDict
 from langgraph.graph.state import StateGraph, START
@@ -142,9 +240,48 @@ graph = builder.compile()
 
 1. Transform the state to the subgraph state
 2. Transform response back to the parent state
+:::
+
+:::js
+```typescript
+import { StateGraph, START } from "@langchain/langgraph";
+import { z } from "zod";
+
+const SubgraphState = z.object({
+  bar: z.string(),
+});
+
+// Subgraph
+const subgraphBuilder = new StateGraph(SubgraphState)
+  .addNode("subgraphNode1", (state) => {
+    return { bar: "hi! " + state.bar };
+  })
+  .addEdge(START, "subgraphNode1");
+
+const subgraph = subgraphBuilder.compile();
+
+// Parent graph
+const State = z.object({
+  foo: z.string(),
+});
+
+const builder = new StateGraph(State)
+  .addNode("node1", async (state) => {
+    const subgraphOutput = await subgraph.invoke({ bar: state.foo }); // (1)!
+    return { foo: subgraphOutput.bar }; // (2)!
+  })
+  .addEdge(START, "node1");
+
+const graph = builder.compile();
+```
+
+1. Transform the state to the subgraph state
+2. Transform response back to the parent state
+:::
 
 ??? example "Full example: different state schemas"
 
+    :::python
     ```python
     from typing_extensions import TypedDict
     from langgraph.graph.state import StateGraph, START
@@ -200,11 +337,74 @@ graph = builder.compile()
     (('node_2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7',), {'grandchild_2': {'bar': 'hi! foobaz'}})
     ((), {'node_2': {'foo': 'hi! foobaz'}})
     ```
+    :::
+
+    :::js
+    ```typescript
+    import { StateGraph, START } from "@langchain/langgraph";
+    import { z } from "zod";
+
+    // Define subgraph
+    const SubgraphState = z.object({
+      // note that none of these keys are shared with the parent graph state
+      bar: z.string(),
+      baz: z.string(),
+    });
+    
+    const subgraphBuilder = new StateGraph(SubgraphState)
+      .addNode("subgraphNode1", (state) => {
+        return { baz: "baz" };
+      })
+      .addNode("subgraphNode2", (state) => {
+        return { bar: state.bar + state.baz };
+      })
+      .addEdge(START, "subgraphNode1")
+      .addEdge("subgraphNode1", "subgraphNode2");
+    
+    const subgraph = subgraphBuilder.compile();
+    
+    // Define parent graph
+    const ParentState = z.object({
+      foo: z.string(),
+    });
+    
+    const builder = new StateGraph(ParentState)
+      .addNode("node1", (state) => {
+        return { foo: "hi! " + state.foo };
+      })
+      .addNode("node2", async (state) => {
+        const response = await subgraph.invoke({ bar: state.foo }); // (1)!
+        return { foo: response.bar }; // (2)!
+      })
+      .addEdge(START, "node1")
+      .addEdge("node1", "node2");
+    
+    const graph = builder.compile();
+    
+    for await (const chunk of await graph.stream(
+      { foo: "foo" }, 
+      { subgraphs: true }
+    )) {
+      console.log(chunk);
+    }
+    ```
+
+    3. Transform the state to the subgraph state
+    4. Transform response back to the parent state
+
+    ```
+    [[], { node1: { foo: 'hi! foo' } }]
+    [['node2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7'], { subgraphNode1: { baz: 'baz' } }]
+    [['node2:9c36dd0f-151a-cb42-cbad-fa2f851f9ab7'], { subgraphNode2: { bar: 'hi! foobaz' } }]
+    [[], { node2: { foo: 'hi! foobaz' } }]
+    ```
+    :::
 
 ??? example "Full example: different state schemas (two levels of subgraphs)"
 
     This is an example with two levels of subgraphs: parent -> child -> grandchild.
 
+    :::python
     ```python
     # Grandchild graph
     from typing_extensions import TypedDict
@@ -288,14 +488,102 @@ graph = builder.compile()
     ((), {'child': {'my_key': 'hi Bob, how are you today?'}})
     ((), {'parent_2': {'my_key': 'hi Bob, how are you today? bye!'}})
     ```
+    :::
+
+    :::js
+    ```typescript
+    import { StateGraph, START, END } from "@langchain/langgraph";
+    import { z } from "zod";
+
+    // Grandchild graph
+    const GrandChildState = z.object({
+      myGrandchildKey: z.string(),
+    });
+    
+    const grandchild = new StateGraph(GrandChildState)
+      .addNode("grandchild1", (state) => {
+        // NOTE: child or parent keys will not be accessible here
+        return { myGrandchildKey: state.myGrandchildKey + ", how are you" };
+      })
+      .addEdge(START, "grandchild1")
+      .addEdge("grandchild1", END);
+    
+    const grandchildGraph = grandchild.compile();
+    
+    // Child graph
+    const ChildState = z.object({
+      myChildKey: z.string(),
+    });
+    
+    const child = new StateGraph(ChildState)
+      .addNode("child1", async (state) => {
+        // NOTE: parent or grandchild keys won't be accessible here
+        const grandchildGraphInput = { myGrandchildKey: state.myChildKey }; // (1)!
+        const grandchildGraphOutput = await grandchildGraph.invoke(grandchildGraphInput);
+        return { myChildKey: grandchildGraphOutput.myGrandchildKey + " today?" }; // (2)!
+      }) // (3)!
+      .addEdge(START, "child1")
+      .addEdge("child1", END);
+    
+    const childGraph = child.compile();
+    
+    // Parent graph
+    const ParentState = z.object({
+      myKey: z.string(),
+    });
+    
+    const parent = new StateGraph(ParentState)
+      .addNode("parent1", (state) => {
+        // NOTE: child or grandchild keys won't be accessible here
+        return { myKey: "hi " + state.myKey };
+      })
+      .addNode("child", async (state) => {
+        const childGraphInput = { myChildKey: state.myKey }; // (4)!
+        const childGraphOutput = await childGraph.invoke(childGraphInput);
+        return { myKey: childGraphOutput.myChildKey }; // (5)!
+      }) // (6)!
+      .addNode("parent2", (state) => {
+        return { myKey: state.myKey + " bye!" };
+      })
+      .addEdge(START, "parent1")
+      .addEdge("parent1", "child")
+      .addEdge("child", "parent2")
+      .addEdge("parent2", END);
+    
+    const parentGraph = parent.compile();
+    
+    for await (const chunk of await parentGraph.stream(
+      { myKey: "Bob" }, 
+      { subgraphs: true }
+    )) {
+      console.log(chunk);
+    }
+    ```
+
+    7. We're transforming the state from the child state channels (`myChildKey`) to the grandchild state channels (`myGrandchildKey`)
+    8. We're transforming the state from the grandchild state channels (`myGrandchildKey`) back to the child state channels (`myChildKey`)
+    9. We're passing a function here instead of just compiled graph (`grandchildGraph`)
+    10. We're transforming the state from the parent state channels (`myKey`) to the child state channels (`myChildKey`)
+    11. We're transforming the state from the child state channels (`myChildKey`) back to the parent state channels (`myKey`)
+    12. We're passing a function here instead of just a compiled graph (`childGraph`)
+
+    ```
+    [[], { parent1: { myKey: 'hi Bob' } }]
+    [['child:2e26e9ce-602f-862c-aa66-1ea5a4655e3b', 'child1:781bb3b1-3971-84ce-810b-acf819a03f9c'], { grandchild1: { myGrandchildKey: 'hi Bob, how are you' } }]
+    [['child:2e26e9ce-602f-862c-aa66-1ea5a4655e3b'], { child1: { myChildKey: 'hi Bob, how are you today?' } }]
+    [[], { child: { myKey: 'hi Bob, how are you today?' } }]
+    [[], { parent2: { myKey: 'hi Bob, how are you today? bye!' } }]
+    ```
+    :::
 
 ## Add persistence 
 
 You only need to **provide the checkpointer when compiling the parent graph**. LangGraph will automatically propagate the checkpointer to the child subgraphs.
 
+:::python
 ```python
 from langgraph.graph import START, StateGraph
-from langgraph.checkpoint.memory import InMemorySaver
+from langgraph.checkpoint.memory import MemorySaver
 from typing_extensions import TypedDict
 
 class State(TypedDict):
@@ -317,20 +605,66 @@ builder = StateGraph(State)
 builder.add_node("node_1", subgraph)
 builder.add_edge(START, "node_1")
 
-checkpointer = InMemorySaver()
+checkpointer = MemorySaver()
 graph = builder.compile(checkpointer=checkpointer)
 ```    
+:::
 
-If you want the subgraph to **have its own memory**, you can compile it `with checkpointer=True`. This is useful in [multi-agent](../concepts/multi_agent.md) systems, if you want agents to keep track of their internal message histories:
+:::js
+```typescript
+import { StateGraph, START, MemorySaver } from "@langchain/langgraph";
+import { z } from "zod";
 
+const State = z.object({
+  foo: z.string(),
+});
+
+// Subgraph
+const subgraphBuilder = new StateGraph(State)
+  .addNode("subgraphNode1", (state) => {
+    return { foo: state.foo + "bar" };
+  })
+  .addEdge(START, "subgraphNode1");
+
+const subgraph = subgraphBuilder.compile();
+
+// Parent graph
+const builder = new StateGraph(State)
+  .addNode("node1", subgraph)
+  .addEdge(START, "node1");
+
+const checkpointer = new MemorySaver();
+const graph = builder.compile({ checkpointer });
+```    
+:::
+
+If you want the subgraph to **have its own memory**, you can compile it with the appropriate checkpointer option. This is useful in [multi-agent](../concepts/multi_agent.md) systems, if you want agents to keep track of their internal message histories:
+
+:::python
 ```python
 subgraph_builder = StateGraph(...)
 subgraph = subgraph_builder.compile(checkpointer=True)
 ```
+:::
+
+:::js
+```typescript
+const subgraphBuilder = new StateGraph(...)
+const subgraph = subgraphBuilder.compile({ checkpointer: true });
+```
+:::
 
 ## View subgraph state
 
-When you enable [persistence](../concepts/persistence.md), you can [inspect the graph state](../concepts/persistence.md#checkpoints) (checkpoint) via `graph.get_state(config)`. To view the subgraph state, you can use `graph.get_state(config, subgraphs=True)`.
+When you enable [persistence](../concepts/persistence.md), you can [inspect the graph state](../concepts/persistence.md#checkpoints) (checkpoint) via the appropriate method. To view the subgraph state, you can use the subgraphs option.
+
+:::python
+You can inspect the graph state via `graph.get_state(config)`. To view the subgraph state, you can use `graph.get_state(config, subgraphs=True)`.
+:::
+
+:::js
+You can inspect the graph state via `graph.getState(config)`. To view the subgraph state, you can use `graph.getState(config, { subgraphs: true })`.
+:::
 
 !!! important "Available **only** when interrupted"
 
@@ -338,9 +672,10 @@ When you enable [persistence](../concepts/persistence.md), you can [inspect the
 
 ??? example "View interrupted subgraph state"
 
+    :::python
     ```python
     from langgraph.graph import START, StateGraph
-    from langgraph.checkpoint.memory import InMemorySaver
+    from langgraph.checkpoint.memory import MemorySaver
     from langgraph.types import interrupt, Command
     from typing_extensions import TypedDict
     
@@ -365,7 +700,7 @@ When you enable [persistence](../concepts/persistence.md), you can [inspect the
     builder.add_node("node_1", subgraph)
     builder.add_edge(START, "node_1")
     
-    checkpointer = InMemorySaver()
+    checkpointer = MemorySaver()
     graph = builder.compile(checkpointer=checkpointer)
     
     config = {"configurable": {"thread_id": "1"}}
@@ -379,11 +714,53 @@ When you enable [persistence](../concepts/persistence.md), you can [inspect the
     ```
     
     1. This will be available only when the subgraph is interrupted. Once you resume the graph, you won't be able to access the subgraph state.
+    :::
+
+    :::js
+    ```typescript
+    import { StateGraph, START, MemorySaver, interrupt, Command } from "@langchain/langgraph";
+    import { z } from "zod";
+    
+    const State = z.object({
+      foo: z.string(),
+    });
+    
+    // Subgraph
+    const subgraphBuilder = new StateGraph(State)
+      .addNode("subgraphNode1", (state) => {
+        const value = interrupt("Provide value:");
+        return { foo: state.foo + value };
+      })
+      .addEdge(START, "subgraphNode1");
+    
+    const subgraph = subgraphBuilder.compile();
+    
+    // Parent graph
+    const builder = new StateGraph(State)
+      .addNode("node1", subgraph)
+      .addEdge(START, "node1");
+    
+    const checkpointer = new MemorySaver();
+    const graph = builder.compile({ checkpointer });
+    
+    const config = { configurable: { thread_id: "1" } };
+    
+    await graph.invoke({ foo: "" }, config);
+    const parentState = await graph.getState(config);
+    const subgraphState = (await graph.getState(config, { subgraphs: true })).tasks[0].state; // (1)!
+    
+    // resume the subgraph
+    await graph.invoke(new Command({ resume: "bar" }), config);
+    ```
+    
+    2. This will be available only when the subgraph is interrupted. Once you resume the graph, you won't be able to access the subgraph state.
+    :::
 
 ## Stream subgraph outputs
 
-To include outputs from subgraphs in the streamed outputs, you can set `subgraphs=True` in the `.stream()` method of the parent graph. This will stream outputs from both the parent graph and any subgraphs.
+To include outputs from subgraphs in the streamed outputs, you can set the subgraphs option in the stream method of the parent graph. This will stream outputs from both the parent graph and any subgraphs.
 
+:::python
 ```python
 for chunk in graph.stream(
     {"foo": "foo"},
@@ -394,9 +771,27 @@ for chunk in graph.stream(
 ```
 
 1. Set `subgraphs=True` to stream outputs from subgraphs.
+:::
+
+:::js
+```typescript
+for await (const chunk of await graph.stream(
+  { foo: "foo" },
+  {
+    subgraphs: true, // (1)!
+    streamMode: "updates",
+  }
+)) {
+  console.log(chunk);
+}
+```
+
+1. Set `subgraphs: true` to stream outputs from subgraphs.
+:::
 
 ??? example "Stream from subgraphs"
 
+    :::python
     ```python
     from typing_extensions import TypedDict
     from langgraph.graph.state import StateGraph, START
@@ -450,4 +845,66 @@ for chunk in graph.stream(
     (('node_2:e58e5673-a661-ebb0-70d4-e298a7fc28b7',), {'subgraph_node_1': {'bar': 'bar'}})
     (('node_2:e58e5673-a661-ebb0-70d4-e298a7fc28b7',), {'subgraph_node_2': {'foo': 'hi! foobar'}})
     ((), {'node_2': {'foo': 'hi! foobar'}})
-    
+    ```
+    :::
+
+    :::js
+    ```typescript
+    import { StateGraph, START } from "@langchain/langgraph";
+    import { z } from "zod";
+
+    // Define subgraph
+    const SubgraphState = z.object({
+      foo: z.string(),
+      bar: z.string(),
+    });
+    
+    const subgraphBuilder = new StateGraph(SubgraphState)
+      .addNode("subgraphNode1", (state) => {
+        return { bar: "bar" };
+      })
+      .addNode("subgraphNode2", (state) => {
+        // note that this node is using a state key ('bar') that is only available in the subgraph
+        // and is sending update on the shared state key ('foo')
+        return { foo: state.foo + state.bar };
+      })
+      .addEdge(START, "subgraphNode1")
+      .addEdge("subgraphNode1", "subgraphNode2");
+    
+    const subgraph = subgraphBuilder.compile();
+    
+    // Define parent graph
+    const ParentState = z.object({
+      foo: z.string(),
+    });
+    
+    const builder = new StateGraph(ParentState)
+      .addNode("node1", (state) => {
+        return { foo: "hi! " + state.foo };
+      })
+      .addNode("node2", subgraph)
+      .addEdge(START, "node1")
+      .addEdge("node1", "node2");
+    
+    const graph = builder.compile();
+
+    for await (const chunk of await graph.stream(
+      { foo: "foo" },
+      {
+        streamMode: "updates",
+        subgraphs: true, // (1)!
+      }
+    )) {
+      console.log(chunk);
+    }
+    ```
+  
+    2. Set `subgraphs: true` to stream outputs from subgraphs.
+
+    ```
+    [[], { node1: { foo: 'hi! foo' } }]
+    [['node2:e58e5673-a661-ebb0-70d4-e298a7fc28b7'], { subgraphNode1: { bar: 'bar' } }]
+    [['node2:e58e5673-a661-ebb0-70d4-e298a7fc28b7'], { subgraphNode2: { foo: 'hi! foobar' } }]
+    [[], { node2: { foo: 'hi! foobar' } }]
+    ```
+    :::

docs/docs/tutorials/workflows.md

@@ -1948,7 +1948,7 @@ const llmWithTools = llm.bindTools(tools);
 
 
     # Conditional edge function to route to the tool node or end based upon whether the LLM made a tool call
-    def should_continue(state: MessagesState) -> Literal["environment", END]:
+    def should_continue(state: MessagesState) -> Literal["Action", END]:
         """Decide if we should continue the loop or stop based upon whether the LLM made a tool call"""
 
         messages = state["messages"]

docs/overrides/main.html

@@ -360,5 +360,5 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
 {% endblock %}
 
 {% block announce %}
-<strong>LangGraph Platform docs have moved!</strong> Find the LangGraph Platform docs at the new <a href="https://docs.langchain.com/langgraph-platform" target="_blank">LangChain Docs</a> site.
+Our new LangChain Academy Course Deep Research with LangGraph is now live! <a href="https://academy.langchain.com/courses/deep-research-with-langgraph/?utm_medium=internal&utm_source=docs&utm_campaign=q3-2025_deep-research-course_co" target="_blank">Enroll for free</a>.
 {% endblock %}

examples/rag/langgraph_crag_local.ipynb

@@ -707,7 +707,9 @@
     "    \"\"\"\n",
     "    Find all tool calls in the messages returned\n",
     "    \"\"\"\n",
-    "    tool_calls = [tc['name'] for m in messages['messages'] for tc in getattr(m, 'tool_calls', [])]\n",
+    "    tool_calls = [\n",
+    "        tc[\"name\"] for m in messages[\"messages\"] for tc in getattr(m, \"tool_calls\", [])\n",
+    "    ]\n",
     "    return tool_calls\n",
     "\n",
     "\n",

libs/checkpoint-postgres/tests/test_store.py

@@ -861,3 +861,46 @@ def test_store_ttl(store):
     # Now has been (TTL_SECONDS-2)*2 > TTL_SECONDS + TTL_SECONDS/2
     res = store.search(ns, query="bar", refresh_ttl=False)
     assert len(res) == 0
+
+
+@pytest.mark.parametrize(
+    "vector_type,distance_type",
+    [
+        ("vector", "cosine"),
+        ("vector", "inner_product"),
+        ("halfvec", "cosine"),
+        ("halfvec", "inner_product"),
+    ],
+)
+def test_non_ascii(
+    request: Any,
+    fake_embeddings: CharacterEmbeddings,
+    vector_type: str,
+    distance_type: str,
+) -> None:
+    """Test support for non-ascii characters"""
+    with _create_vector_store(
+        vector_type,
+        distance_type,
+        fake_embeddings
+    ) as store:
+    
+        store.put(("user_123", "memories"), "1", {"text": "这是中文"})  # Chinese
+        store.put(
+            ("user_123", "memories"), "2", {"text": "これは日本語です"}
+        )  # Japanese
+        store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"})  # Korean
+        store.put(("user_123", "memories"), "4", {"text": "Это русский"})  # Russian
+        store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"})  # Hindi
+
+        result1 = store.search(("user_123", "memories"), query="这是中文")
+        result2 = store.search(("user_123", "memories"), query="これは日本語です")
+        result3 = store.search(("user_123", "memories"), query="이건 한국어야")
+        result4 = store.search(("user_123", "memories"), query="Это русский")
+        result5 = store.search(("user_123", "memories"), query="यह रूसी है")
+
+        assert result1[0].key == "1"
+        assert result2[0].key == "2"
+        assert result3[0].key == "3"
+        assert result4[0].key == "4"
+        assert result5[0].key == "5"

libs/checkpoint-postgres/uv.lock

@@ -329,6 +329,7 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
+    { name = "redis" },
     { name = "ruff" },
 ]
 

libs/checkpoint-sqlite/tests/test_store.py

@@ -1067,3 +1067,31 @@ def test_sql_injection_vulnerability(store: SqliteStore) -> None:
 
     with pytest.raises(ValueError, match="Invalid filter key"):
         store.search(("docs",), filter={malicious_key: "dummy"})
+
+
+@pytest.mark.parametrize("distance_type", VECTOR_TYPES)
+def test_non_ascii(
+    fake_embeddings: CharacterEmbeddings,
+    distance_type: str,
+) -> None:
+    """Test support for non-ascii characters"""
+    with create_vector_store(fake_embeddings, distance_type=distance_type) as store:
+        store.put(("user_123", "memories"), "1", {"text": "这是中文"})  # Chinese
+        store.put(
+            ("user_123", "memories"), "2", {"text": "これは日本語です"}
+        )  # Japanese
+        store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"})  # Korean
+        store.put(("user_123", "memories"), "4", {"text": "Это русский"})  # Russian
+        store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"})  # Hindi
+
+        result1 = store.search(("user_123", "memories"), query="这是中文")
+        result2 = store.search(("user_123", "memories"), query="これは日本語です")
+        result3 = store.search(("user_123", "memories"), query="이건 한국어야")
+        result4 = store.search(("user_123", "memories"), query="Это русский")
+        result5 = store.search(("user_123", "memories"), query="यह रूसी है")
+
+        assert result1[0].key == "1"
+        assert result2[0].key == "2"
+        assert result3[0].key == "3"
+        assert result4[0].key == "4"
+        assert result5[0].key == "5"

libs/checkpoint-sqlite/uv.lock

@@ -341,6 +341,7 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
+    { name = "redis" },
     { name = "ruff" },
 ]
 

libs/checkpoint/langgraph/cache/redis/__init__.py

@@ -0,0 +1,144 @@
+from __future__ import annotations
+
+from collections.abc import Mapping, Sequence
+from typing import Any
+
+from langgraph.cache.base import BaseCache, FullKey, Namespace, ValueT
+from langgraph.checkpoint.serde.base import SerializerProtocol
+
+
+class RedisCache(BaseCache[ValueT]):
+    """Redis-based cache implementation with TTL support."""
+
+    def __init__(
+        self,
+        redis: Any,
+        *,
+        serde: SerializerProtocol | None = None,
+        prefix: str = "langgraph:cache:",
+    ) -> None:
+        """Initialize the cache with a Redis client.
+
+        Args:
+            redis: Redis client instance (sync or async)
+            serde: Serializer to use for values
+            prefix: Key prefix for all cached values
+        """
+        super().__init__(serde=serde)
+        self.redis = redis
+        self.prefix = prefix
+
+    def _make_key(self, ns: Namespace, key: str) -> str:
+        """Create a Redis key from namespace and key."""
+        ns_str = ":".join(ns) if ns else ""
+        return f"{self.prefix}{ns_str}:{key}" if ns_str else f"{self.prefix}{key}"
+
+    def _parse_key(self, redis_key: str) -> tuple[Namespace, str]:
+        """Parse a Redis key back to namespace and key."""
+        if not redis_key.startswith(self.prefix):
+            raise ValueError(
+                f"Key {redis_key} does not start with prefix {self.prefix}"
+            )
+
+        remaining = redis_key[len(self.prefix) :]
+        if ":" in remaining:
+            parts = remaining.split(":")
+            key = parts[-1]
+            ns_parts = parts[:-1]
+            return (tuple(ns_parts), key)
+        else:
+            return (tuple(), remaining)
+
+    def get(self, keys: Sequence[FullKey]) -> dict[FullKey, ValueT]:
+        """Get the cached values for the given keys."""
+        if not keys:
+            return {}
+
+        # Build Redis keys
+        redis_keys = [self._make_key(ns, key) for ns, key in keys]
+
+        # Get values from Redis using MGET
+        try:
+            raw_values = self.redis.mget(redis_keys)
+        except Exception:
+            # If Redis is unavailable, return empty dict
+            return {}
+
+        values: dict[FullKey, ValueT] = {}
+        for i, raw_value in enumerate(raw_values):
+            if raw_value is not None:
+                try:
+                    # Deserialize the value
+                    encoding, data = raw_value.split(b":", 1)
+                    values[keys[i]] = self.serde.loads_typed((encoding.decode(), data))
+                except Exception:
+                    # Skip corrupted entries
+                    continue
+
+        return values
+
+    async def aget(self, keys: Sequence[FullKey]) -> dict[FullKey, ValueT]:
+        """Asynchronously get the cached values for the given keys."""
+        return self.get(keys)
+
+    def set(self, mapping: Mapping[FullKey, tuple[ValueT, int | None]]) -> None:
+        """Set the cached values for the given keys and TTLs."""
+        if not mapping:
+            return
+
+        # Use pipeline for efficient batch operations
+        pipe = self.redis.pipeline()
+
+        for (ns, key), (value, ttl) in mapping.items():
+            redis_key = self._make_key(ns, key)
+            encoding, data = self.serde.dumps_typed(value)
+
+            # Store as "encoding:data" format
+            serialized_value = f"{encoding}:".encode() + data
+
+            if ttl is not None:
+                pipe.setex(redis_key, ttl, serialized_value)
+            else:
+                pipe.set(redis_key, serialized_value)
+
+        try:
+            pipe.execute()
+        except Exception:
+            # Silently fail if Redis is unavailable
+            pass
+
+    async def aset(self, mapping: Mapping[FullKey, tuple[ValueT, int | None]]) -> None:
+        """Asynchronously set the cached values for the given keys and TTLs."""
+        self.set(mapping)
+
+    def clear(self, namespaces: Sequence[Namespace] | None = None) -> None:
+        """Delete the cached values for the given namespaces.
+        If no namespaces are provided, clear all cached values."""
+        try:
+            if namespaces is None:
+                # Clear all keys with our prefix
+                pattern = f"{self.prefix}*"
+                keys = self.redis.keys(pattern)
+                if keys:
+                    self.redis.delete(*keys)
+            else:
+                # Clear specific namespaces
+                keys_to_delete = []
+                for ns in namespaces:
+                    ns_str = ":".join(ns) if ns else ""
+                    pattern = (
+                        f"{self.prefix}{ns_str}:*" if ns_str else f"{self.prefix}*"
+                    )
+                    keys = self.redis.keys(pattern)
+                    keys_to_delete.extend(keys)
+
+                if keys_to_delete:
+                    self.redis.delete(*keys_to_delete)
+        except Exception:
+            # Silently fail if Redis is unavailable
+            pass
+
+    async def aclear(self, namespaces: Sequence[Namespace] | None = None) -> None:
+        """Asynchronously delete the cached values for the given namespaces.
+        If no namespaces are provided, clear all cached values."""
+        self.clear(namespaces)

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

@@ -81,6 +81,9 @@ class Checkpoint(TypedDict):
     This keeps track of the versions of the channels that each node has seen.
     Used to determine which nodes to execute next.
     """
+    updated_channels: list[str] | None
+    """The channels that were updated in this checkpoint.
+    """
 
 
 def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
@@ -92,6 +95,7 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
         channel_versions=checkpoint["channel_versions"].copy(),
         versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
         pending_sends=checkpoint.get("pending_sends", []).copy(),
+        updated_channels=checkpoint.get("updated_channels", None),
     )
 
 
@@ -437,6 +441,7 @@ def empty_checkpoint() -> Checkpoint:
         channel_versions={},
         versions_seen={},
         pending_sends=[],
+        updated_channels=None,
     )
 
 
@@ -470,4 +475,5 @@ def create_checkpoint(
         channel_versions=checkpoint["channel_versions"],
         versions_seen=checkpoint["versions_seen"],
         pending_sends=checkpoint.get("pending_sends", []),
+        updated_channels=None,
     )

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

@@ -64,14 +64,21 @@ class AsyncBatchedBaseStore(BaseStore):
         super().__init__()
         self._loop = asyncio.get_running_loop()
         self._aqueue: asyncio.Queue[tuple[asyncio.Future, Op]] = asyncio.Queue()
-        self._task = self._loop.create_task(_run(self._aqueue, weakref.ref(self)))
+        self._task: asyncio.Task | None = None
+        self._ensure_task()
 
     def __del__(self) -> None:
         try:
-            self._task.cancel()
+            if self._task:
+                self._task.cancel()
         except RuntimeError:
             pass
 
+    def _ensure_task(self) -> None:
+        """Ensure the background processing loop is running."""
+        if self._task is None or self._task.done():
+            self._task = self._loop.create_task(_run(self._aqueue, weakref.ref(self)))
+
     async def aget(
         self,
         namespace: tuple[str, ...],
@@ -79,7 +86,7 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         refresh_ttl: bool | None = None,
     ) -> Item | None:
-        assert not self._task.done()
+        self._ensure_task()
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
             (
@@ -104,7 +111,7 @@ class AsyncBatchedBaseStore(BaseStore):
         offset: int = 0,
         refresh_ttl: bool | None = None,
     ) -> list[SearchItem]:
-        assert not self._task.done()
+        self._ensure_task()
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
             (
@@ -130,7 +137,7 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         ttl: float | None | NotProvided = NOT_PROVIDED,
     ) -> None:
-        assert not self._task.done()
+        self._ensure_task()
         _validate_namespace(namespace)
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
@@ -148,7 +155,7 @@ class AsyncBatchedBaseStore(BaseStore):
         namespace: tuple[str, ...],
         key: str,
     ) -> None:
-        assert not self._task.done()
+        self._ensure_task()
         fut = self._loop.create_future()
         self._aqueue.put_nowait((fut, PutOp(namespace, key, None)))
         return await fut
@@ -162,7 +169,7 @@ class AsyncBatchedBaseStore(BaseStore):
         limit: int = 100,
         offset: int = 0,
     ) -> list[tuple[str, ...]]:
-        assert not self._task.done()
+        self._ensure_task()
         fut = self._loop.create_future()
         match_conditions = []
         if prefix:

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

@@ -238,7 +238,7 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]:
         - Nested paths in multi-field: "{field1,nested.field2}"
     """
     if not path or path == "$":
-        return [json.dumps(obj, sort_keys=True)]
+        return [json.dumps(obj, sort_keys=True, ensure_ascii=False)]
 
     tokens = tokenize_path(path) if isinstance(path, str) else path
 
@@ -249,7 +249,7 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]:
             elif obj is None:
                 return []
             elif isinstance(obj, (list, dict)):
-                return [json.dumps(obj, sort_keys=True)]
+                return [json.dumps(obj, sort_keys=True, ensure_ascii=False)]
             return []
 
         token = tokens[pos]
@@ -295,7 +295,11 @@ def get_text_at_path(obj: Any, path: str | list[str]) -> list[str]:
                         if isinstance(current_obj, (str, int, float, bool)):
                             results.append(str(current_obj))
                         elif isinstance(current_obj, (list, dict)):
-                            results.append(json.dumps(current_obj, sort_keys=True))
+                            results.append(
+                                json.dumps(
+                                    current_obj, sort_keys=True, ensure_ascii=False
+                                )
+                            )
 
         # Handle wildcard
         elif token == "*":

libs/checkpoint/pyproject.toml

@@ -32,6 +32,7 @@ dev = [
   "numpy",
   "pandas",
   "pandas-stubs>=2.2.2.240807",
+  "redis",
 ]
 
 [tool.hatch.build.targets.wheel]

libs/checkpoint/tests/test_redis_cache.py

@@ -0,0 +1,316 @@
+"""Unit tests for Redis cache implementation."""
+
+import time
+
+import pytest
+import redis
+
+from langgraph.cache.base import FullKey
+from langgraph.cache.redis import RedisCache
+
+
+class TestRedisCache:
+    @pytest.fixture(autouse=True)
+    def setup(self) -> None:
+        """Set up test Redis client and cache."""
+        self.client = redis.Redis(
+            host="localhost", port=6379, db=0, decode_responses=False
+        )
+        try:
+            self.client.ping()
+        except redis.ConnectionError:
+            pytest.skip("Redis server not available")
+
+        self.cache: RedisCache = RedisCache(self.client, prefix="test:cache:")
+
+        # Clean up before each test
+        self.client.flushdb()
+
+    def teardown_method(self) -> None:
+        """Clean up after each test."""
+        try:
+            self.client.flushdb()
+        except Exception:
+            pass
+
+    def test_basic_set_and_get(self) -> None:
+        """Test basic set and get operations."""
+        keys: list[FullKey] = [(("graph", "node"), "key1")]
+        values = {keys[0]: ({"result": 42}, None)}
+
+        # Set value
+        self.cache.set(values)
+
+        # Get value
+        result = self.cache.get(keys)
+        assert len(result) == 1
+        assert result[keys[0]] == {"result": 42}
+
+    def test_batch_operations(self) -> None:
+        """Test batch set and get operations."""
+        keys: list[FullKey] = [
+            (("graph", "node1"), "key1"),
+            (("graph", "node2"), "key2"),
+            (("other", "node"), "key3"),
+        ]
+        values = {
+            keys[0]: ({"result": 1}, None),
+            keys[1]: ({"result": 2}, 60),  # With TTL
+            keys[2]: ({"result": 3}, None),
+        }
+
+        # Set values
+        self.cache.set(values)
+
+        # Get all values
+        result = self.cache.get(keys)
+        assert len(result) == 3
+        assert result[keys[0]] == {"result": 1}
+        assert result[keys[1]] == {"result": 2}
+        assert result[keys[2]] == {"result": 3}
+
+    def test_ttl_behavior(self) -> None:
+        """Test TTL (time-to-live) functionality."""
+        key: FullKey = (("graph", "node"), "ttl_key")
+        values = {key: ({"data": "expires_soon"}, 1)}  # 1 second TTL
+
+        # Set with TTL
+        self.cache.set(values)
+
+        # Should be available immediately
+        result = self.cache.get([key])
+        assert len(result) == 1
+        assert result[key] == {"data": "expires_soon"}
+
+        # Wait for expiration
+        time.sleep(1.1)
+
+        # Should be expired
+        result = self.cache.get([key])
+        assert len(result) == 0
+
+    def test_namespace_isolation(self) -> None:
+        """Test that different namespaces are isolated."""
+        key1: FullKey = (("graph1", "node"), "same_key")
+        key2: FullKey = (("graph2", "node"), "same_key")
+
+        values = {key1: ({"graph": 1}, None), key2: ({"graph": 2}, None)}
+
+        self.cache.set(values)
+
+        result = self.cache.get([key1, key2])
+        assert result[key1] == {"graph": 1}
+        assert result[key2] == {"graph": 2}
+
+    def test_clear_all(self) -> None:
+        """Test clearing all cached values."""
+        keys: list[FullKey] = [
+            (("graph", "node1"), "key1"),
+            (("graph", "node2"), "key2"),
+        ]
+        values = {keys[0]: ({"result": 1}, None), keys[1]: ({"result": 2}, None)}
+
+        self.cache.set(values)
+
+        # Verify data exists
+        result = self.cache.get(keys)
+        assert len(result) == 2
+
+        # Clear all
+        self.cache.clear()
+
+        # Verify data is gone
+        result = self.cache.get(keys)
+        assert len(result) == 0
+
+    def test_clear_by_namespace(self) -> None:
+        """Test clearing cached values by namespace."""
+        keys: list[FullKey] = [
+            (("graph1", "node"), "key1"),
+            (("graph2", "node"), "key2"),
+            (("graph1", "other"), "key3"),
+        ]
+        values = {
+            keys[0]: ({"result": 1}, None),
+            keys[1]: ({"result": 2}, None),
+            keys[2]: ({"result": 3}, None),
+        }
+
+        self.cache.set(values)
+
+        # Clear only graph1 namespace
+        self.cache.clear([("graph1", "node"), ("graph1", "other")])
+
+        # graph1 should be cleared, graph2 should remain
+        result = self.cache.get(keys)
+        assert len(result) == 1
+        assert result[keys[1]] == {"result": 2}
+
+    def test_empty_operations(self) -> None:
+        """Test behavior with empty keys/values."""
+        # Empty get
+        result = self.cache.get([])
+        assert result == {}
+
+        # Empty set
+        self.cache.set({})  # Should not raise error
+
+    def test_nonexistent_keys(self) -> None:
+        """Test getting keys that don't exist."""
+        keys: list[FullKey] = [(("graph", "node"), "nonexistent")]
+        result = self.cache.get(keys)
+        assert len(result) == 0
+
+    @pytest.mark.asyncio
+    async def test_async_operations(self) -> None:
+        """Test async set and get operations with sync Redis client."""
+        # Create sync Redis client and cache (like main integration tests)
+        client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
+        try:
+            client.ping()
+        except Exception:
+            pytest.skip("Redis not available")
+
+        cache: RedisCache = RedisCache(client, prefix="test:async:")
+
+        keys: list[FullKey] = [(("graph", "node"), "async_key")]
+        values = {keys[0]: ({"async": True}, None)}
+
+        # Async set (delegates to sync)
+        await cache.aset(values)
+
+        # Async get (delegates to sync)
+        result = await cache.aget(keys)
+        assert len(result) == 1
+        assert result[keys[0]] == {"async": True}
+
+        # Cleanup
+        client.flushdb()
+
+    @pytest.mark.asyncio
+    async def test_async_clear(self) -> None:
+        """Test async clear operations with sync Redis client."""
+        # Create sync Redis client and cache (like main integration tests)
+        client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
+        try:
+            client.ping()
+        except Exception:
+            pytest.skip("Redis not available")
+
+        cache: RedisCache = RedisCache(client, prefix="test:async:")
+
+        keys: list[FullKey] = [(("graph", "node"), "key")]
+        values = {keys[0]: ({"data": "test"}, None)}
+
+        await cache.aset(values)
+
+        # Verify data exists
+        result = await cache.aget(keys)
+        assert len(result) == 1
+
+        # Clear all (delegates to sync)
+        await cache.aclear()
+
+        # Verify data is gone
+        result = await cache.aget(keys)
+        assert len(result) == 0
+
+        # Cleanup
+        client.flushdb()
+
+    def test_redis_unavailable_get(self) -> None:
+        """Test behavior when Redis is unavailable during get operations."""
+        # Create cache with non-existent Redis server
+        bad_client = redis.Redis(
+            host="nonexistent", port=9999, socket_connect_timeout=0.1
+        )
+        cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")
+
+        keys: list[FullKey] = [(("graph", "node"), "key")]
+        result = cache.get(keys)
+
+        # Should return empty dict when Redis unavailable
+        assert result == {}
+
+    def test_redis_unavailable_set(self) -> None:
+        """Test behavior when Redis is unavailable during set operations."""
+        # Create cache with non-existent Redis server
+        bad_client = redis.Redis(
+            host="nonexistent", port=9999, socket_connect_timeout=0.1
+        )
+        cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")
+
+        keys: list[FullKey] = [(("graph", "node"), "key")]
+        values = {keys[0]: ({"data": "test"}, None)}
+
+        # Should not raise exception when Redis unavailable
+        cache.set(values)  # Should silently fail
+
+    @pytest.mark.asyncio
+    async def test_redis_unavailable_async(self) -> None:
+        """Test async behavior when Redis is unavailable."""
+        # Create sync cache with non-existent Redis server (like main integration tests)
+        bad_client = redis.Redis(
+            host="nonexistent", port=9999, socket_connect_timeout=0.1
+        )
+        cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")
+
+        keys: list[FullKey] = [(("graph", "node"), "key")]
+        values = {keys[0]: ({"data": "test"}, None)}
+
+        # Should return empty dict for get (delegates to sync)
+        result = await cache.aget(keys)
+        assert result == {}
+
+        # Should not raise exception for set (delegates to sync)
+        await cache.aset(values)  # Should silently fail
+
+    def test_corrupted_data_handling(self) -> None:
+        """Test handling of corrupted data in Redis."""
+        # Set some valid data first
+        keys: list[FullKey] = [(("graph", "node"), "valid_key")]
+        values = {keys[0]: ({"data": "valid"}, None)}
+        self.cache.set(values)
+
+        # Manually insert corrupted data
+        corrupted_key = self.cache._make_key(("graph", "node"), "corrupted_key")
+        self.client.set(corrupted_key, b"invalid:data:format:too:many:colons")
+
+        # Should skip corrupted entry and return only valid ones
+        all_keys: list[FullKey] = [keys[0], (("graph", "node"), "corrupted_key")]
+        result = self.cache.get(all_keys)
+
+        assert len(result) == 1
+        assert result[keys[0]] == {"data": "valid"}
+
+    def test_key_parsing_edge_cases(self) -> None:
+        """Test key parsing with edge cases."""
+        # Test empty namespace
+        key1: FullKey = ((), "empty_ns")
+        values = {key1: ({"data": "empty_ns"}, None)}
+        self.cache.set(values)
+        result = self.cache.get([key1])
+        assert result[key1] == {"data": "empty_ns"}
+
+        # Test namespace with special characters
+        key2: FullKey = (
+            ("graph:with:colons", "node-with-dashes"),
+            "key_with_underscores",
+        )
+        values = {key2: ({"data": "special_chars"}, None)}
+        self.cache.set(values)
+        result = self.cache.get([key2])
+        assert result[key2] == {"data": "special_chars"}
+
+    def test_large_data_serialization(self) -> None:
+        """Test handling of large data objects."""
+        # Create a large data structure
+        large_data = {"large_list": list(range(1000)), "nested": {"data": "x" * 1000}}
+        key: FullKey = (("graph", "node"), "large_key")
+        values = {key: (large_data, None)}
+
+        self.cache.set(values)
+        result = self.cache.get([key])
+
+        assert len(result) == 1
+        assert result[key] == large_data

libs/checkpoint/tests/test_store.py

@@ -34,6 +34,42 @@ class MockAsyncBatchedStore(AsyncBatchedBaseStore):
         return self._store.batch(ops)
 
 
+async def test_async_batch_store_resilience() -> None:
+    """Test that AsyncBatchedBaseStore recovers gracefully from task cancellation."""
+    doc = {"foo": "bar"}
+    async_store = MockAsyncBatchedStore()
+
+    await async_store.aput(("foo", "langgraph", "foo"), "bar", doc)
+
+    # Store the original task reference
+    original_task = async_store._task
+    assert original_task is not None
+    assert not original_task.done()
+
+    # Cancel the background task
+    original_task.cancel()
+    await asyncio.sleep(0.01)
+    assert original_task.cancelled()
+
+    # Perform a new operation - this should trigger _ensure_task() to create a new task
+    result = await async_store.asearch(("foo", "langgraph", "foo"))
+    assert len(result) > 0
+    assert result[0].value == doc
+
+    # Verify a new task was created
+    new_task = async_store._task
+    assert new_task is not None
+    assert new_task is not original_task
+    assert not new_task.done()
+
+    # Test that operations continue to work with the new task
+    doc2 = {"baz": "qux"}
+    await async_store.aput(("test", "namespace"), "key", doc2)
+    result2 = await async_store.aget(("test", "namespace"), "key")
+    assert result2 is not None
+    assert result2.value == doc2
+
+
 def test_get_text_at_path() -> None:
     nested_data = {
         "name": "test",
@@ -985,3 +1021,27 @@ async def test_embed_with_path(fake_embeddings: CharacterEmbeddings) -> None:
     assert len(results) == 3
     doc5_result = next(r for r in results if r.key == "doc5")
     assert doc5_result.score is None
+
+
+def test_non_ascii(fake_embeddings: CharacterEmbeddings) -> None:
+    """Test support for non-ascii characters"""
+    store = InMemoryStore(
+        index={"dims": fake_embeddings.dims, "embed": fake_embeddings}
+    )
+    store.put(("user_123", "memories"), "1", {"text": "这是中文"})  # Chinese
+    store.put(("user_123", "memories"), "2", {"text": "これは日本語です"})  # Japanese
+    store.put(("user_123", "memories"), "3", {"text": "이건 한국어야"})  # Korean
+    store.put(("user_123", "memories"), "4", {"text": "Это русский"})  # Russian
+    store.put(("user_123", "memories"), "5", {"text": "यह रूसी है"})  # Hindi
+
+    result1 = store.search(("user_123", "memories"), query="这是中文")
+    result2 = store.search(("user_123", "memories"), query="これは日本語です")
+    result3 = store.search(("user_123", "memories"), query="이건 한국어야")
+    result4 = store.search(("user_123", "memories"), query="Это русский")
+    result5 = store.search(("user_123", "memories"), query="यह रूसी है")
+
+    assert result1[0].key == "1"
+    assert result2[0].key == "2"
+    assert result3[0].key == "3"
+    assert result4[0].key == "4"
+    assert result5[0].key == "5"

libs/checkpoint/uv.lock

@@ -32,6 +32,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl", hash = "sha256:9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c", size = 100916, upload-time = "2025-03-17T00:02:52.713Z" },
 ]
 
+[[package]]
+name = "async-timeout"
+version = "5.0.1"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/a5/ae/136395dfbfe00dfc94da3f3e136d0b13f394cba8f4841120e34226265780/async_timeout-5.0.1.tar.gz", hash = "sha256:d9321a7a3d5a6a5e187e824d2fa0793ce379a202935782d555d6e9d2735677d3", size = 9274, upload-time = "2024-11-06T16:41:39.6Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/fe/ba/e2081de779ca30d473f21f5b30e0e737c438205440784c7dfc81efc2b029/async_timeout-5.0.1-py3-none-any.whl", hash = "sha256:39e3809566ff85354557ec2398b55e096c8364bacac9405a7a1fa429e77fe76c", size = 6233, upload-time = "2024-11-06T16:41:37.9Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2025.7.9"
@@ -345,6 +354,7 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
+    { name = "redis" },
     { name = "ruff" },
 ]
 
@@ -366,6 +376,7 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
+    { name = "redis" },
     { name = "ruff" },
 ]
 
@@ -1153,6 +1164,18 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/19/87/5124b1c1f2412bb95c59ec481eaf936cd32f0fe2a7b16b97b81c4c017a6a/PyYAML-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:39693e1f8320ae4f43943590b49779ffb98acb81f788220ea932a6b6c51004d8", size = 162312, upload-time = "2024-08-06T20:33:49.073Z" },
 ]
 
+[[package]]
+name = "redis"
+version = "6.3.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "async-timeout", marker = "python_full_version < '3.11.3'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/21/cd/030274634a1a052b708756016283ea3d84e91ae45f74d7f5dcf55d753a0f/redis-6.3.0.tar.gz", hash = "sha256:3000dbe532babfb0999cdab7b3e5744bcb23e51923febcfaeb52c8cfb29632ef", size = 4647275, upload-time = "2025-08-05T08:12:31.648Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/df/a7/2fe45801534a187543fc45d28b3844d84559c1589255bc2ece30d92dc205/redis-6.3.0-py3-none-any.whl", hash = "sha256:92f079d656ded871535e099080f70fab8e75273c0236797126ac60242d638e9b", size = 280018, upload-time = "2025-08-05T08:12:30.093Z" },
+]
+
 [[package]]
 name = "requests"
 version = "2.32.4"

libs/cli/Makefile

@@ -4,8 +4,9 @@
 # TESTING AND COVERAGE
 ######################
 
+TEST?= "tests/unit_tests"
 test:
-	uv run pytest tests/unit_tests
+	uv run pytest $(TEST)
 test-integration:
 	uv run pytest tests/integration_tests
 

libs/cli/examples/.env.example

@@ -1,10 +1,3 @@
 OPENAI_API_KEY=placeholder
 ANTHROPIC_API_KEY=placeholder
 TAVILY_API_KEY=placeholder
-LANGCHAIN_TRACING_V2=false
-LANGCHAIN_ENDPOINT=placeholder
-LANGCHAIN_API_KEY=placeholder
-LANGCHAIN_PROJECT=placeholder
-LANGGRAPH_AUTH_TYPE=noop
-LANGSMITH_AUTH_ENDPOINT=placeholder
-LANGSMITH_TENANT_ID=placeholder

libs/cli/examples/graph_prerelease_reqs/agent.py

@@ -0,0 +1,95 @@
+from collections.abc import Sequence
+from typing import Annotated, Literal, TypedDict
+
+from langchain.chat_models import init_chat_model
+from langchain_community.tools.tavily_search import TavilySearchResults
+from langchain_core.messages import BaseMessage
+from langchain_openai import ChatOpenAI
+from langgraph.graph import END, StateGraph, add_messages
+from langgraph.prebuilt import ToolNode
+
+tools = [TavilySearchResults(max_results=1)]
+
+model_anth = init_chat_model("claude-3-7-sonnet-20250219", model_provider="anthropic")
+model_oai = ChatOpenAI(temperature=0)
+
+model_anth = model_anth.bind_tools(tools)
+model_oai = model_oai.bind_tools(tools)
+
+
+class AgentState(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+# Define the function that determines whether to continue or not
+def should_continue(state):
+    messages = state["messages"]
+    last_message = messages[-1]
+    # If there are no tool calls, then we finish
+    if not last_message.tool_calls:
+        return "end"
+    # Otherwise if there is, we continue
+    else:
+        return "continue"
+
+
+# Define the function that calls the model
+def call_model(state, config):
+    if config["configurable"].get("model", "anthropic") == "anthropic":
+        model = model_anth
+    else:
+        model = model_oai
+    messages = state["messages"]
+    response = model.invoke(messages)
+    # We return a list, because this will get added to the existing list
+    return {"messages": [response]}
+
+
+# Define the function to execute tools
+tool_node = ToolNode(tools)
+
+
+class ContextSchema(TypedDict):
+    model: Literal["anthropic", "openai"]
+
+
+# Define a new graph
+workflow = StateGraph(AgentState, context_schema=ContextSchema)
+
+# Define the two nodes we will cycle between
+workflow.add_node("agent", call_model)
+workflow.add_node("action", tool_node)
+
+# Set the entrypoint as `agent`
+# This means that this node is the first one called
+workflow.set_entry_point("agent")
+
+# We now add a conditional edge
+workflow.add_conditional_edges(
+    # First, we define the start node. We use `agent`.
+    # This means these are the edges taken after the `agent` node is called.
+    "agent",
+    # Next, we pass in the function that will determine which node is called next.
+    should_continue,
+    # Finally we pass in a mapping.
+    # The keys are strings, and the values are other nodes.
+    # END is a special node marking that the graph should finish.
+    # What will happen is we will call `should_continue`, and then the output of that
+    # will be matched against the keys in this mapping.
+    # Based on which one it matches, that node will then be called.
+    {
+        # If `tools`, then we call the tool node.
+        "continue": "action",
+        # Otherwise we finish.
+        "end": END,
+    },
+)
+
+# We now add a normal edge from `tools` to `agent`.
+# This means that after `tools` is called, `agent` node is called next.
+workflow.add_edge("action", "agent")
+
+# Finally, we compile it!
+# This compiles it into a LangChain Runnable,
+# meaning you can use it as you would any other runnable
+graph = workflow.compile()

libs/cli/examples/graph_prerelease_reqs/langgraph.json

@@ -0,0 +1,11 @@
+{
+    "python_version": "3.12",
+    "dependencies": [
+      "."
+    ],
+    "graphs": {
+      "agent": "./agent.py:graph"
+    },
+    "env": "../.env"
+  }
+  

libs/cli/examples/graph_prerelease_reqs/requirements.txt

@@ -0,0 +1,6 @@
+requests
+langchain_anthropic
+langchain_openai
+langchain_community
+langchain
+langgraph==1.0.0a2

libs/cli/examples/graphs/agent.py

@@ -7,6 +7,7 @@ from langchain_core.messages import BaseMessage
 from langchain_openai import ChatOpenAI
 from langgraph.graph import END, StateGraph, add_messages
 from langgraph.prebuilt import ToolNode
+from langgraph.runtime import Runtime
 
 tools = [TavilySearchResults(max_results=1)]
 
@@ -17,6 +18,10 @@ model_anth = model_anth.bind_tools(tools)
 model_oai = model_oai.bind_tools(tools)
 
 
+class AgentContext(TypedDict):
+    model: Literal["anthropic", "openai"]
+
+
 class AgentState(TypedDict):
     messages: Annotated[Sequence[BaseMessage], add_messages]
 
@@ -34,8 +39,8 @@ def should_continue(state):
 
 
 # Define the function that calls the model
-def call_model(state, config):
-    if config["configurable"].get("model", "anthropic") == "anthropic":
+def call_model(state, runtime: Runtime[AgentContext]):
+    if runtime.context.get("model", "anthropic") == "anthropic":
         model = model_anth
     else:
         model = model_oai
@@ -49,12 +54,8 @@ def call_model(state, config):
 tool_node = ToolNode(tools)
 
 
-class ContextSchema(TypedDict):
-    model: Literal["anthropic", "openai"]
-
-
 # Define a new graph
-workflow = StateGraph(AgentState, context_schema=ContextSchema)
+workflow = StateGraph(AgentState, context_schema=AgentContext)
 
 # Define the two nodes we will cycle between
 workflow.add_node("agent", call_model)

libs/cli/examples/graphs_reqs_a/graphs_submod/agent.py

@@ -1,6 +1,6 @@
 from collections.abc import Sequence
 from pathlib import Path
-from typing import Annotated, TypedDict
+from typing import Annotated, Literal, TypedDict
 
 from langchain_anthropic import ChatAnthropic
 from langchain_community.tools.tavily_search import TavilySearchResults
@@ -8,6 +8,7 @@ from langchain_core.messages import BaseMessage
 from langchain_openai import ChatOpenAI
 from langgraph.graph import END, StateGraph, add_messages
 from langgraph.prebuilt import ToolNode
+from langgraph.runtime import Runtime
 
 tools = [TavilySearchResults(max_results=1)]
 
@@ -21,6 +22,10 @@ prompt = open(Path(__file__).parent.parent / "prompt.txt").read()
 subprompt = open(Path(__file__).parent / "subprompt.txt").read()
 
 
+class AgentContext(TypedDict):
+    model: Literal["anthropic", "openai"]
+
+
 class AgentState(TypedDict):
     messages: Annotated[Sequence[BaseMessage], add_messages]
 
@@ -38,8 +43,8 @@ def should_continue(state):
 
 
 # Define the function that calls the model
-def call_model(state, config):
-    if config["configurable"].get("model", "anthropic") == "anthropic":
+def call_model(state, runtime: Runtime[AgentContext]):
+    if runtime.context.get("model", "anthropic") == "anthropic":
         model = model_anth
     else:
         model = model_oai
@@ -52,9 +57,8 @@ def call_model(state, config):
 # Define the function to execute tools
 tool_node = ToolNode(tools)
 
-
 # Define a new graph
-workflow = StateGraph(AgentState)
+workflow = StateGraph(AgentState, context_schema=AgentContext)
 
 # Define the two nodes we will cycle between
 workflow.add_node("agent", call_model)

libs/cli/examples/graphs_reqs_b/graphs_submod/agent.py

@@ -1,6 +1,6 @@
 from collections.abc import Sequence
 from pathlib import Path
-from typing import Annotated, TypedDict
+from typing import Annotated, Literal, TypedDict
 
 from langchain_anthropic import ChatAnthropic
 from langchain_community.tools.tavily_search import TavilySearchResults
@@ -8,6 +8,7 @@ from langchain_core.messages import BaseMessage
 from langchain_openai import ChatOpenAI
 from langgraph.graph import END, StateGraph, add_messages
 from langgraph.prebuilt import ToolNode
+from langgraph.runtime import Runtime
 
 tools = [TavilySearchResults(max_results=1)]
 
@@ -21,6 +22,10 @@ prompt = open(Path(__file__).parent.parent / "prompt.txt").read()
 subprompt = open(Path(__file__).parent / "subprompt.txt").read()
 
 
+class AgentContext(TypedDict):
+    model: Literal["anthropic", "openai"]
+
+
 class AgentState(TypedDict):
     messages: Annotated[Sequence[BaseMessage], add_messages]
 
@@ -38,8 +43,8 @@ def should_continue(state):
 
 
 # Define the function that calls the model
-def call_model(state, config):
-    if config["configurable"].get("model", "anthropic") == "anthropic":
+def call_model(state, runtime: Runtime[AgentContext]):
+    if runtime.context.get("model", "anthropic") == "anthropic":
         model = model_anth
     else:
         model = model_oai
@@ -54,7 +59,7 @@ tool_node = ToolNode(tools)
 
 
 # Define a new graph
-workflow = StateGraph(AgentState)
+workflow = StateGraph(AgentState, context_schema=AgentContext)
 
 # Define the two nodes we will cycle between
 workflow.add_node("agent", call_model)

libs/cli/generate_schema.py

@@ -163,14 +163,7 @@ def generate_schema():
 
     # Add enum constraint for python_version
     if "python_version" in python_schema["properties"]:
-        python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12"]
-
-    # Add enum constraint for image_distro
-    if "image_distro" in python_schema["properties"]:
-        python_schema["properties"]["image_distro"]["anyOf"] = [
-            {"type": "string", "enum": ["debian", "wolfi"]},
-            {"type": "null"},
-        ]
+        python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
 
     # Create Node.js schema with node_version
     node_schema = {

libs/cli/js-monorepo-example/.eslintrc.cjs

@@ -0,0 +1,62 @@
+module.exports = {
+  extends: [
+    "eslint:recommended",
+    "prettier",
+    "plugin:@typescript-eslint/recommended",
+  ],
+  parserOptions: {
+    ecmaVersion: 12,
+    parser: "@typescript-eslint/parser",
+    project: "./tsconfig.json",
+    sourceType: "module",
+  },
+  plugins: ["import", "@typescript-eslint", "no-instanceof"],
+  ignorePatterns: [
+    ".eslintrc.cjs",
+    "scripts",
+    "src/utils/lodash/*",
+    "node_modules",
+    "dist",
+    "dist-cjs",
+    "*.js",
+    "*.cjs",
+    "*.d.ts",
+  ],
+  rules: {
+    "no-process-env": 2,
+    "no-instanceof/no-instanceof": 2,
+    "@typescript-eslint/explicit-module-boundary-types": 0,
+    "@typescript-eslint/no-empty-function": 0,
+    "@typescript-eslint/no-shadow": 0,
+    "@typescript-eslint/no-empty-interface": 0,
+    "@typescript-eslint/no-use-before-define": ["error", "nofunc"],
+    "@typescript-eslint/no-unused-vars": ["warn", { args: "none" }],
+    "@typescript-eslint/no-floating-promises": "error",
+    "@typescript-eslint/no-misused-promises": "error",
+    camelcase: 0,
+    "class-methods-use-this": 0,
+    "import/extensions": [2, "ignorePackages"],
+    "import/no-extraneous-dependencies": [
+      "error",
+      { devDependencies: ["**/*.test.ts"] },
+    ],
+    "import/no-unresolved": 0,
+    "import/prefer-default-export": 0,
+    "keyword-spacing": "error",
+    "max-classes-per-file": 0,
+    "max-len": 0,
+    "no-await-in-loop": 0,
+    "no-bitwise": 0,
+    "no-console": 0,
+    "no-restricted-syntax": 0,
+    "no-shadow": 0,
+    "no-continue": 0,
+    "no-underscore-dangle": 0,
+    "no-use-before-define": 0,
+    "no-useless-constructor": 0,
+    "no-return-await": 0,
+    "consistent-return": 0,
+    "no-else-return": 0,
+    "new-cap": ["error", { properties: false, capIsNew: false }],
+  },
+};

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

@@ -0,0 +1,7 @@
+{
+  "node_version": "20",
+  "graphs": {
+    "agent": "./src/graph.ts:graph"
+  },
+  "env": "../../.env"
+}

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

@@ -0,0 +1,18 @@
+{
+  "name": "@js-monorepo-example/agent",
+  "version": "0.0.1",
+  "type": "module",
+  "main": "src/graph.ts",
+  "scripts": {
+    "build": "tsc",
+    "clean": "rm -rf dist"
+  },
+  "dependencies": {
+    "@js-monorepo-example/shared": "*",
+    "@langchain/core": "^0.3.2",
+    "@langchain/langgraph": "^0.2.5"
+  },
+  "devDependencies": {
+    "typescript": "^5.3.3"
+  }
+}

libs/cli/js-monorepo-example/apps/agent/src/graph.ts

@@ -0,0 +1,47 @@
+/**
+ * Simple LangGraph.js example for monorepo testing
+ */
+import { StateGraph } from "@langchain/langgraph";
+import { RunnableConfig } from "@langchain/core/runnables";
+import { StateAnnotation } from "./state.js";
+import { getGreeting } from "@js-monorepo-example/shared";
+
+/**
+ * Simple node that uses the shared library
+ */
+const callModel = async (
+  state: typeof StateAnnotation.State,
+  _config: RunnableConfig,
+): Promise<typeof StateAnnotation.Update> => {
+  // Use functions from the shared library
+  const greeting = getGreeting();
+
+  return {
+    messages: [
+      {
+        role: "assistant",
+        content: `${greeting}`,
+      },
+    ],
+  };
+};
+
+/**
+ * Simple routing function
+ */
+export const route = (
+  state: typeof StateAnnotation.State,
+): "__end__" | "callModel" => {
+  if (state.messages.length > 0) {
+    return "__end__";
+  }
+  return "callModel";
+};
+
+// Create the graph
+const builder = new StateGraph(StateAnnotation)
+  .addNode("callModel", callModel)
+  .addEdge("__start__", "callModel")
+  .addConditionalEdges("callModel", route);
+
+export const graph = builder.compile();

libs/cli/js-monorepo-example/apps/agent/src/state.ts

@@ -0,0 +1,15 @@
+import { BaseMessage, BaseMessageLike } from "@langchain/core/messages";
+import { Annotation, messagesStateReducer } from "@langchain/langgraph";
+
+/**
+ * Simple state annotation for the agent
+ */
+export const StateAnnotation = Annotation.Root({
+  /**
+   * Messages track the primary execution state of the agent.
+   */
+  messages: Annotation<BaseMessage[], BaseMessageLike[]>({
+    reducer: messagesStateReducer,
+    default: () => [],
+  }),
+});

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

@@ -0,0 +1,9 @@
+{
+  "extends": "../../tsconfig.json",
+  "compilerOptions": {
+    "outDir": "./dist",
+    "rootDir": "./src"
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}

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

@@ -0,0 +1,14 @@
+{
+  "name": "@js-monorepo-example/shared",
+  "version": "0.0.1",
+  "type": "module",
+  "main": "dist/index.js",
+  "types": "dist/index.d.ts",
+  "scripts": {
+    "build": "tsc",
+    "clean": "rm -rf dist"
+  },
+  "devDependencies": {
+    "typescript": "^5.3.3"
+  }
+}

libs/cli/js-monorepo-example/libs/shared/src/index.ts

@@ -0,0 +1,6 @@
+/**
+ * Simple utility functions for monorepo testing
+ */
+export function getGreeting(): string {
+  return "Hello from shared library!";
+}

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

@@ -0,0 +1,9 @@
+{
+  "extends": "../../tsconfig.json",
+  "compilerOptions": {
+    "outDir": "./dist",
+    "rootDir": "./src"
+  },
+  "include": ["src/**/*"],
+  "exclude": ["node_modules", "dist"]
+}

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

@@ -0,0 +1,34 @@
+{
+  "name": "js-monorepo-example",
+  "version": "0.0.1",
+  "packageManager": "yarn@1.22.22",
+  "description": "A simple monorepo example for LangGraph integration testing.",
+  "private": true,
+  "workspaces": [
+    "libs/*",
+    "apps/*"
+  ],
+  "type": "module",
+  "scripts": {
+    "build": "turbo build",
+    "clean": "turbo clean",
+    "test": "turbo test",
+    "format": "prettier --write .",
+    "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
+  },
+  "devDependencies": {
+    "turbo": "^2.5.0",
+    "typescript": "^5.3.3",
+    "@tsconfig/recommended": "^1.0.7",
+    "@eslint/eslintrc": "^3.1.0",
+    "@eslint/js": "^9.9.1",
+    "eslint": "^8.41.0",
+    "eslint-config-prettier": "^8.8.0",
+    "eslint-plugin-import": "^2.27.5",
+    "eslint-plugin-no-instanceof": "^1.0.1",
+    "eslint-plugin-prettier": "^4.2.1",
+    "@typescript-eslint/eslint-plugin": "^5.59.8",
+    "@typescript-eslint/parser": "^5.59.8",
+    "prettier": "^3.3.3"
+  }
+}

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

@@ -0,0 +1,16 @@
+{
+  "extends": "@tsconfig/recommended",
+  "compilerOptions": {
+    "target": "ES2022",
+    "module": "ESNext",
+    "moduleResolution": "node",
+    "allowSyntheticDefaultImports": true,
+    "esModuleInterop": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "declaration": true,
+    "outDir": "./dist"
+  },
+  "include": ["apps/**/*", "libs/**/*"],
+  "exclude": ["node_modules", "dist"]
+}

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

@@ -0,0 +1,15 @@
+{
+  "$schema": "https://turbo.build/schema.json",
+  "tasks": {
+    "build": {
+      "dependsOn": ["^build"],
+      "outputs": ["dist/**"]
+    },
+    "clean": {
+      "dependsOn": ["^clean"]
+    },
+    "test": {
+      "dependsOn": ["^test"]
+    }
+  }
+}

libs/cli/langgraph_cli/__init__.py

@@ -0,0 +1 @@
+__version__ = "0.4.2"

libs/cli/langgraph_cli/cli.py

@@ -303,6 +303,8 @@ def _build(
     pull: bool,
     tag: str,
     passthrough: Sequence[str] = (),
+    install_command: Optional[str] = None,
+    build_command: Optional[str] = None,
 ):
     # pull latest images
     if pull:
@@ -322,22 +324,38 @@ def _build(
         "-t",
         tag,
     ]
+    # determine build context: use current directory for JS projects, config parent for Python
+    is_js_project = config_json.get("node_version") and not config_json.get(
+        "python_version"
+    )
+    # build/install commands only apply to JS projects for now
+    # without install/build command, JS projects will follow the old behavior
+    if is_js_project and (build_command or install_command):
+        build_context = str(pathlib.Path.cwd())
+    else:
+        build_context = str(config.parent)
+
     # apply config
     stdin, additional_contexts = langgraph_cli.config.config_to_docker(
-        config, config_json, base_image, api_version
+        config,
+        config_json,
+        base_image,
+        api_version,
+        install_command,
+        build_command,
+        build_context,
     )
     # add additional_contexts
     if additional_contexts:
         for k, v in additional_contexts.items():
             args.extend(["--build-context", f"{k}={v}"])
-    # run docker build
     runner.run(
         subp_exec(
             "docker",
             "build",
             *args,
             *passthrough,
-            str(config.parent),
+            build_context,
             input=stdin,
             verbose=True,
         )
@@ -366,6 +384,14 @@ def _build(
     "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
 @OPT_API_VERSION
+@click.option(
+    "--install-command",
+    help="Custom install command to run from the build context root. If not provided, auto-detects based on package manager files.",
+)
+@click.option(
+    "--build-command",
+    help="Custom build command to run from the langgraph.json directory. If not provided, uses default build process.",
+)
 @click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
 @cli.command(
     help="📦 Build LangGraph API server Docker image.",
@@ -381,6 +407,8 @@ def build(
     api_version: Optional[str],
     pull: bool,
     tag: str,
+    install_command: Optional[str],
+    build_command: Optional[str],
 ):
     with Runner() as runner, Progress(message="Pulling...") as set:
         if shutil.which("docker") is None:
@@ -397,6 +425,8 @@ def build(
             pull,
             tag,
             docker_build_args,
+            install_command,
+            build_command,
         )
 
 

libs/cli/langgraph_cli/config.py

@@ -17,6 +17,9 @@ DEFAULT_PYTHON_VERSION = "3.11"
 DEFAULT_IMAGE_DISTRO = "debian"
 
 
+Distros = Literal["debian", "wolfi", "bullseye", "bookworm"]
+
+
 class TTLConfig(TypedDict, total=False):
     """Configuration for TTL (time-to-live) behavior in the store."""
 
@@ -354,6 +357,8 @@ class HttpConfig(TypedDict, total=False):
 
     You can include or exclude headers as configurable values to condition your
     agent's behavior or permissions on a request's headers."""
+    logging_headers: Optional[ConfigurableHeaderConfig]
+    """Optional. Defines which headers are excluded from logging."""
 
 
 class Config(TypedDict, total=False):
@@ -369,6 +374,13 @@ class Config(TypedDict, total=False):
     Must be >= 20 if provided.
     """
 
+    api_version: Optional[str]
+    """Optional. Which semantic version of the LangGraph API server to use.
+    
+    Defaults to latest. Check the
+    [changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
+    for more information."""
+
     _INTERNAL_docker_tag: Optional[str]
     """Optional. Internal use only.
     """
@@ -378,10 +390,11 @@ class Config(TypedDict, total=False):
     
     Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
 
-    image_distro: Optional[str]
+    image_distro: Optional[Distros]
     """Optional. Linux distribution for the base image.
     
-    Must be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.
+    Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
+    If omitted, defaults to 'debian' ('latest').
     """
 
     pip_config_file: Optional[str]
@@ -587,13 +600,28 @@ def validate_config(config: Config) -> Config:
     )
 
     image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
+    internal_docker_tag = config.get("_INTERNAL_docker_tag")
+    api_version = config.get("api_version")
+    if internal_docker_tag:
+        if api_version:
+            raise click.UsageError(
+                "Cannot specify both _INTERNAL_docker_tag and api_version."
+            )
+    if api_version:
+        try:
+            parts = tuple(map(int, api_version.split("-")[0].split(".")))
+            if len(parts) > 3:
+                raise ValueError(
+                    "Version must be major or major.minor or major.minor.patch."
+                )
+        except TypeError:
+            raise click.UsageError(f"Invalid version format: {api_version}") from None
 
     config = {
         "node_version": node_version,
         "python_version": python_version,
         "pip_config_file": config.get("pip_config_file"),
         "pip_installer": config.get("pip_installer", "auto"),
-        "_INTERNAL_docker_tag": config.get("_INTERNAL_docker_tag"),
         "base_image": config.get("base_image"),
         "image_distro": image_distro,
         "dependencies": config.get("dependencies", []),
@@ -608,6 +636,10 @@ def validate_config(config: Config) -> Config:
         "ui_config": config.get("ui_config"),
         "keep_pkg_tools": config.get("keep_pkg_tools"),
     }
+    if internal_docker_tag:
+        config["_INTERNAL_docker_tag"] = internal_docker_tag
+    if api_version:
+        config["api_version"] = api_version
 
     if config.get("node_version"):
         node_version = config["node_version"]
@@ -644,17 +676,17 @@ def validate_config(config: Config) -> Config:
                 "Add at least one dependency to 'dependencies' list."
             )
 
-    if not config["graphs"]:
+    if not config.get("graphs"):
         raise click.UsageError(
             "No graphs found in config. Add at least one graph to 'graphs' dictionary."
         )
 
     # Validate image_distro config
     if image_distro := config.get("image_distro"):
-        if image_distro not in ["debian", "wolfi"]:
+        if image_distro not in Distros.__args__:
             raise click.UsageError(
                 f"Invalid image_distro: '{image_distro}'. "
-                "Must be either 'debian' or 'wolfi'."
+                "Must be one of 'debian', 'bullseye', or 'bookworm'."
             )
 
     if pip_installer := config.get("pip_installer"):
@@ -881,10 +913,10 @@ def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps
                         "Rename the directory to use it as flat-layout package."
                     )
                 check_reserved(resolved.name, local_dep)
-                container_path = f"/deps/__outer_{resolved.name}/{resolved.name}"
+                container_path = f"/deps/outer-{resolved.name}/{resolved.name}"
             else:
                 # src layout
-                container_path = f"/deps/__outer_{resolved.name}/src"
+                container_path = f"/deps/outer-{resolved.name}/src"
                 for file in files:
                     rfile = resolved / file
                     if (
@@ -1224,7 +1256,7 @@ def python_config_to_docker(
         else:
             pip_installer = "pip"
     if pip_installer == "uv":
-        install_cmd = "uv pip install --system"
+        install_cmd = "uv pip install --system --prerelease=allow"
     elif pip_installer == "pip":
         install_cmd = "pip install"
     else:
@@ -1254,7 +1286,7 @@ def python_config_to_docker(
     if local_deps.pip_reqs:
         pip_reqs_str = os.linesep.join(
             (
-                f"COPY --from=__outer_{reqpath.name} requirements.txt {destpath}"
+                f"COPY --from=outer-{reqpath.name} requirements.txt {destpath}"
                 if reqpath.parent in local_deps.additional_contexts
                 else f"ADD {reqpath.relative_to(config_path.parent)} {destpath}"
             )
@@ -1273,7 +1305,7 @@ def python_config_to_docker(
     faux_pkgs_str = f"{os.linesep}{os.linesep}".join(
         (
             f"""# -- Adding non-package dependency {fullpath.name} --
-COPY --from=__outer_{fullpath.name} . {destpath}"""
+COPY --from=outer-{fullpath.name} . {destpath}"""
             if fullpath in local_deps.additional_contexts
             else f"""# -- Adding non-package dependency {fullpath.name} --
 ADD {relpath} {destpath}"""
@@ -1288,7 +1320,7 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_{fullpath.name}/pyproject.toml; \\
+        echo "$line" >> /deps/outer-{fullpath.name}/pyproject.toml; \\
     done
 # -- End of non-package dependency {fullpath.name} --"""
         for fullpath, (relpath, destpath) in local_deps.faux_pkgs.items()
@@ -1391,7 +1423,7 @@ ADD {relpath} /deps/{name}
         if p in local_deps.real_pkgs:
             name = local_deps.real_pkgs[p][1]
         elif p in local_deps.faux_pkgs:
-            name = f"__outer_{p.name}"
+            name = f"outer-{p.name}"
         else:
             raise RuntimeError(f"Unknown additional context: {p}")
         additional_contexts[name] = str(p)
@@ -1404,9 +1436,28 @@ def node_config_to_docker(
     config: Config,
     base_image: str,
     api_version: Optional[str] = None,
+    install_command: Optional[str] = None,
+    build_command: Optional[str] = None,
+    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
-    faux_path = f"/deps/{config_path.parent.name}"
-    install_cmd = _get_node_pm_install_cmd(config_path, config)
+    # Calculate paths for monorepo support
+    if build_context:
+        relative_workdir = _calculate_relative_workdir(config_path, build_context)
+        container_name = pathlib.Path(build_context).name
+        if relative_workdir:
+            faux_path = f"/deps/{container_name}/{relative_workdir}"
+        else:
+            faux_path = f"/deps/{container_name}"
+    else:
+        # Backward compatibility: use the original behavior
+        faux_path = f"/deps/{config_path.parent.name}"
+
+    # Use custom install command or auto-detect
+    if install_command:
+        install_cmd = install_command
+    else:
+        install_cmd = _get_node_pm_install_cmd(config_path, config)
+
     image_str = docker_tag(config, base_image, api_version)
 
     env_vars: list[str] = []
@@ -1433,20 +1484,35 @@ def node_config_to_docker(
 
     env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
 
+    # For monorepo support, we need to handle install and build commands differently
+    if build_context:
+        # Monorepo case: install from root, build from config directory
+        container_root = f"/deps/{pathlib.Path(build_context).name}"
+        install_step = f"RUN cd {container_root} && {install_cmd}"
+
+        if build_command:
+            build_step = f"RUN cd {faux_path} && {build_command}"
+        else:
+            build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
+    else:
+        # Original behavior: everything happens in the same directory
+        install_step = f"RUN cd {faux_path} && {install_cmd}"
+        build_step = 'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts'
+
     docker_file_contents = [
         f"FROM {image_str}",
         "",
         os.linesep.join(config["dockerfile_lines"]),
         "",
-        f"ADD . {faux_path}",
+        f"ADD . {faux_path if not build_context else container_root}",
         "",
-        f"RUN cd {faux_path} && {install_cmd}",
+        install_step,
         "",
         os.linesep.join(env_vars),
         "",
         f"WORKDIR {faux_path}",
         "",
-        'RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts',
+        build_step,
     ]
 
     return os.linesep.join(docker_file_contents), {}
@@ -1465,6 +1531,7 @@ def docker_tag(
     base_image: Optional[str] = None,
     api_version: Optional[str] = None,
 ) -> str:
+    api_version = api_version or config.get("api_version")
     base_image = base_image or default_base_image(config)
 
     image_distro = config.get("image_distro")
@@ -1473,9 +1540,6 @@ def docker_tag(
     if config.get("_INTERNAL_docker_tag"):
         return f"{base_image}:{config['_INTERNAL_docker_tag']}"
 
-    if "/langgraph-server" in base_image:
-        return f"{base_image}-py{config['python_version']}"
-
     # Build the standard tag format
     language, version = None, None
     if config.get("node_version") and not config.get("python_version"):
@@ -1488,22 +1552,50 @@ def docker_tag(
     # Prepend API version if provided
     if api_version:
         full_tag = f"{api_version}-{language}{version_distro_tag}"
+    elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
+        return f"{base_image}-{language}{version_distro_tag}"
     else:
         full_tag = version_distro_tag
 
     return f"{base_image}:{full_tag}"
 
 
+def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -> str:
+    """Calculate the relative path from build context to langgraph.json directory."""
+    config_dir = config_path.parent.resolve()
+    build_context_path = pathlib.Path(build_context).resolve()
+
+    try:
+        relative_path = config_dir.relative_to(build_context_path)
+        return str(relative_path) if str(relative_path) != "." else ""
+    except ValueError as _:
+        raise ValueError(
+            f"Configuration file {config_path} is not under the build context {build_context}. "
+            f"Please run the command from a directory that contains your langgraph.json file, "
+        ) from None
+
+
 def config_to_docker(
     config_path: pathlib.Path,
     config: Config,
     base_image: Optional[str] = None,
     api_version: Optional[str] = None,
+    install_command: Optional[str] = None,
+    build_command: Optional[str] = None,
+    build_context: Optional[str] = None,
 ) -> tuple[str, dict[str, str]]:
     base_image = base_image or default_base_image(config)
 
     if config.get("node_version") and not config.get("python_version"):
-        return node_config_to_docker(config_path, config, base_image, api_version)
+        return node_config_to_docker(
+            config_path,
+            config,
+            base_image,
+            api_version,
+            install_command,
+            build_command,
+            build_context,
+        )
 
     return python_config_to_docker(config_path, config, base_image, api_version)
 

libs/cli/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-cli"
-version = "0.3.6"
+dynamic = ["version"]
 description = "CLI for interacting with LangGraph API"
 authors = []
 requires-python = ">=3.9"
@@ -15,11 +15,12 @@ dependencies = [
     "click>=8.1.7",
     "langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
 ]
-
+[tool.hatch.version]
+path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.2.67,<0.3.0 ; python_version >= '3.11'",
-    "langgraph-runtime-inmem>=0.6.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.3,<0.5.0 ; python_version >= '3.11'",
+    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
     "python-dotenv>=0.8.0",
 ]
 

libs/cli/python-monorepo-example/apps/agent/langgraph.json

@@ -0,0 +1,7 @@
+{
+  "dependencies": [".", "../../libs/shared", "../../libs/common"],
+  "graphs": {
+    "agent": "./src/agent/graph.py:graph"
+  },
+  "env": ".env"
+}

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

@@ -0,0 +1,19 @@
+[project]
+name = "agent"
+version = "0.0.1"
+description = "Agent for the Python monorepo"
+authors = [
+    { name = "Developer", email = "dev@example.com" },
+]
+license = { text = "MIT" }
+requires-python = ">=3.11,<4.0"
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["agent"]
+
+[tool.setuptools.package-dir]
+"agent" = "src/agent"

libs/cli/python-monorepo-example/apps/agent/src/agent/__init__.py

@@ -0,0 +1 @@
+"""Agent package."""

libs/cli/python-monorepo-example/apps/agent/src/agent/graph.py

@@ -0,0 +1,40 @@
+"""Simple LangGraph agent for monorepo testing."""
+
+from common import get_common_prefix
+from langchain_core.messages import AIMessage
+from langgraph.graph import END, START, StateGraph
+from shared import get_dummy_message
+
+from agent.state import State
+
+
+def call_model(state: State) -> dict:
+    """Simple node that uses the shared libraries."""
+    # Use functions from both shared packages
+    dummy_message = get_dummy_message()
+    prefix = get_common_prefix()
+
+    message = AIMessage(content=f"{prefix} Agent says: {dummy_message}")
+
+    return {"messages": [message]}
+
+
+def should_continue(state: State):
+    """Conditional edge - end after first message."""
+    messages = state["messages"]
+    if len(messages) > 0:
+        return END
+    return "call_model"
+
+
+# Build the graph
+workflow = StateGraph(State)
+
+# Add the node
+workflow.add_node("call_model", call_model)
+
+# Add edges
+workflow.add_edge(START, "call_model")
+workflow.add_conditional_edges("call_model", should_continue)
+
+graph = workflow.compile()

libs/cli/python-monorepo-example/apps/agent/src/agent/state.py

@@ -0,0 +1,13 @@
+"""State definition for the agent."""
+
+from collections.abc import Sequence
+from typing import Annotated, TypedDict
+
+from langchain_core.messages import BaseMessage
+from langgraph.graph.message import add_messages
+
+
+class State(TypedDict):
+    """The state of the agent."""
+
+    messages: Annotated[Sequence[BaseMessage], add_messages]

libs/cli/python-monorepo-example/libs/common/__init__.py

@@ -0,0 +1,5 @@
+"""Common helper functions package."""
+
+from .helpers import get_common_prefix
+
+__all__ = ["get_common_prefix"]

libs/cli/python-monorepo-example/libs/common/helpers.py

@@ -0,0 +1,6 @@
+"""Common helper functions."""
+
+
+def get_common_prefix() -> str:
+    """Get a common prefix for messages."""
+    return "[COMMON]"

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

@@ -0,0 +1,20 @@
+[project]
+name = "shared"
+version = "0.0.1"
+description = "Shared utilities for the Python monorepo"
+authors = [
+    { name = "Developer", email = "dev@example.com" },
+]
+license = { text = "MIT" }
+requires-python = ">=3.11,<4.0"
+dependencies = []
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools]
+packages = ["shared"]
+
+[tool.setuptools.package-dir]
+"shared" = "src/shared"

libs/cli/python-monorepo-example/libs/shared/src/shared/__init__.py

@@ -0,0 +1,5 @@
+"""Shared utilities package."""
+
+from .utils import get_dummy_message
+
+__all__ = ["get_dummy_message"]

libs/cli/python-monorepo-example/libs/shared/src/shared/utils.py

@@ -0,0 +1,6 @@
+"""Shared utility functions."""
+
+
+def get_dummy_message() -> str:
+    """Get a dummy message for testing."""
+    return "Hello from shared library!"

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

@@ -0,0 +1,46 @@
+[project]
+name = "python-monorepo-example"
+version = "0.0.1"
+description = "A Python monorepo example with LangGraph agents and shared packages"
+authors = [
+    { name = "Developer", email = "dev@example.com" },
+]
+license = { text = "MIT" }
+requires-python = ">=3.11,<4.0"
+dependencies = [
+    "langgraph>=0.6.0,<0.7.0",
+    "langchain-core>=0.2.14",
+]
+
+[tool.uv.workspace]
+members = ["apps/*", "libs/shared"]
+
+[tool.uv.sources]
+shared = { workspace = true }
+
+[project.optional-dependencies]
+dev = ["mypy>=1.11.1", "ruff>=0.6.1"]
+
+[build-system]
+requires = ["setuptools>=73.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[tool.ruff]
+lint.select = [
+    "E",    # pycodestyle
+    "F",    # pyflakes
+    "I",    # isort
+    "D",    # pydocstyle
+    "UP",
+]
+lint.ignore = [
+    "D100",  # Missing docstring in public module
+    "D101",  # Missing docstring in public class
+    "D102",  # Missing docstring in public method
+    "D103",  # Missing docstring in public function
+    "D104",  # Missing docstring in public package
+    "D105",  # Missing docstring in magic method
+]
+
+[tool.ruff.lint.pydocstyle]
+convention = "google"

libs/cli/schemas/schema.json

@@ -15,7 +15,8 @@
               "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
               "enum": [
                 "3.11",
-                "3.12"
+                "3.12",
+                "3.13"
               ]
             },
             "pip_config_file": {
@@ -40,6 +41,17 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
             "auth": {
               "anyOf": [
                 {
@@ -122,8 +134,9 @@
             "image_distro": {
               "anyOf": [
                 {
-                  "type": "string",
                   "enum": [
+                    "bookworm",
+                    "bullseye",
                     "debian",
                     "wolfi"
                   ]
@@ -132,7 +145,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -221,6 +234,17 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
             "auth": {
               "anyOf": [
                 {
@@ -313,7 +337,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -552,6 +576,17 @@
         "disable_threads": {
           "type": "boolean",
           "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
+        },
+        "logging_headers": {
+          "anyOf": [
+            {
+              "$ref": "#/$defs/ConfigurableHeaderConfig"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. Defines which headers are excluded from logging."
         }
       },
       "required": []

libs/cli/schemas/schema.v0.json

@@ -15,7 +15,8 @@
               "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
               "enum": [
                 "3.11",
-                "3.12"
+                "3.12",
+                "3.13"
               ]
             },
             "pip_config_file": {
@@ -40,6 +41,17 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
             "auth": {
               "anyOf": [
                 {
@@ -122,8 +134,9 @@
             "image_distro": {
               "anyOf": [
                 {
-                  "type": "string",
                   "enum": [
+                    "bookworm",
+                    "bullseye",
                     "debian",
                     "wolfi"
                   ]
@@ -132,7 +145,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -221,6 +234,17 @@
               ],
               "description": "Optional. Internal use only.\n"
             },
+            "api_version": {
+              "anyOf": [
+                {
+                  "type": "string"
+                },
+                {
+                  "type": "null"
+                }
+              ],
+              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+            },
             "auth": {
               "anyOf": [
                 {
@@ -313,7 +337,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
+              "description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
             },
             "keep_pkg_tools": {
               "anyOf": [
@@ -552,6 +576,17 @@
         "disable_threads": {
           "type": "boolean",
           "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
+        },
+        "logging_headers": {
+          "anyOf": [
+            {
+              "$ref": "#/$defs/ConfigurableHeaderConfig"
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. Defines which headers are excluded from logging."
         }
       },
       "required": []

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

@@ -15,7 +15,7 @@ from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Versi
 from langgraph_cli.util import clean_empty_lines
 
 FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
-    install_cmd="uv pip install --system",
+    install_cmd="uv pip install --system --prerelease=allow",
     to_uninstall=("pip", "setuptools", "wheel"),
     pip_installer="uv",
 )
@@ -149,7 +149,7 @@ services:
                 COPY --from=cli_1 . /deps/cli_1
                 # -- End of local package ../../.. --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -381,7 +381,9 @@ def test_dockerfile_command_with_base_image() -> None:
         assert save_path.exists()
         with open(save_path) as f:
             dockerfile = f.read()
-            assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile)
+            assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile), (
+                "\n".join(dockerfile.splitlines()[:3])
+            )
 
 
 def test_dockerfile_command_with_docker_compose() -> None:
@@ -568,7 +570,7 @@ def test_build_generate_proper_build_context():
                 catch_exceptions=True,
             )
 
-        build_context_pattern = re.compile(r"--build-context\s+(\w+)=([^\s]+)")
+        build_context_pattern = re.compile(r"--build-context\s+([\w-]+)=([^\s]+)")
 
         build_contexts = re.findall(build_context_pattern, result.output)
         assert len(build_contexts) == 2, (

libs/cli/tests/unit_tests/test_config.py

@@ -20,7 +20,7 @@ from langgraph_cli.config import (
 from langgraph_cli.util import clean_empty_lines
 
 FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
-    install_cmd="uv pip install --system",
+    install_cmd="uv pip install --system --prerelease=allow",
     to_uninstall=("pip", "setuptools", "wheel"),
     pip_installer="uv",
 )
@@ -38,7 +38,6 @@ def test_validate_config():
     }
     actual_config = validate_config(expected_config)
     expected_config = {
-        "_INTERNAL_docker_tag": None,
         "base_image": None,
         "python_version": "3.11",
         "node_version": None,
@@ -61,7 +60,6 @@ def test_validate_config():
     # full config
     env = ".env"
     expected_config = {
-        "_INTERNAL_docker_tag": None,
         "base_image": None,
         "python_version": "3.12",
         "node_version": None,
@@ -190,7 +188,6 @@ def test_validate_config_image_distro():
             }
         )
     assert "Invalid image_distro: 'ubuntu'" in str(exc_info.value)
-    assert "Must be either 'debian' or 'wolfi'" in str(exc_info.value)
 
     with pytest.raises(click.UsageError) as exc_info:
         validate_config(
@@ -424,14 +421,14 @@ def test_config_to_docker_simple():
     expected_docker_stdin = f"""\
 FROM langchain/langgraph-api:3.11
 # -- Installing local requirements --
-COPY --from=__outer_requirements.txt requirements.txt /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -r /deps/__outer_graphs_reqs_a/graphs_reqs_a/requirements.txt
+COPY --from=outer-requirements.txt requirements.txt /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
 # -- End of local requirements install --
 # -- Adding local package ../../examples --
 COPY --from=examples . /deps/examples
 # -- End of local package ../../examples --
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/__outer_unit_tests/unit_tests
+ADD . /deps/outer-unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -441,11 +438,11 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Adding non-package dependency graphs_reqs_a --
-COPY --from=__outer_graphs_reqs_a . /deps/__outer_graphs_reqs_a/graphs_reqs_a
+COPY --from=outer-graphs_reqs_a . /deps/outer-graphs_reqs_a/graphs_reqs_a
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "graphs_reqs_a"' \\
@@ -455,21 +452,21 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_graphs_reqs_a/pyproject.toml; \\
+        echo "$line" >> /deps/outer-graphs_reqs_a/pyproject.toml; \\
     done
 # -- End of non-package dependency graphs_reqs_a --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
 ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}'
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/__outer_unit_tests/unit_tests\
+WORKDIR /deps/outer-unit_tests/unit_tests\
 """
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
 
     assert additional_contexts == {
-        "__outer_graphs_reqs_a": str(
+        "outer-graphs_reqs_a": str(
             (pathlib.Path(__file__).parent / "../../examples/graphs_reqs_a").resolve()
         ),
         "examples": str((pathlib.Path(__file__).parent / "../../examples").resolve()),
@@ -487,7 +484,7 @@ def test_config_to_docker_outside_path():
         """\
 FROM langchain/langgraph-api:3.11
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/__outer_unit_tests/unit_tests
+ADD . /deps/outer-unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -497,11 +494,11 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Adding non-package dependency tests --
-COPY --from=__outer_tests . /deps/__outer_tests/tests
+COPY --from=outer-tests . /deps/outer-tests/tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "tests"' \\
@@ -511,22 +508,22 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_tests/pyproject.toml; \\
+        echo "$line" >> /deps/outer-tests/pyproject.toml; \\
     done
 # -- End of non-package dependency tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
+ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
 """
         + FORMATTED_CLEANUP_LINES
         + """
-WORKDIR /deps/__outer_unit_tests/unit_tests\
+WORKDIR /deps/outer-unit_tests/unit_tests\
 """
     )
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {
-        "__outer_tests": str(pathlib.Path(__file__).parent.parent.absolute()),
+        "outer-tests": str(pathlib.Path(__file__).parent.parent.absolute()),
     }
 
 
@@ -548,7 +545,7 @@ def test_config_to_docker_pipconfig():
 FROM langchain/langgraph-api:3.11
 ADD pipconfig.txt /pipconfig.txt
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/__outer_unit_tests/unit_tests
+ADD . /deps/outer-unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -558,17 +555,17 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}'
+ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
 """
         + FORMATTED_CLEANUP_LINES
         + """
-WORKDIR /deps/__outer_unit_tests/unit_tests\
+WORKDIR /deps/outer-unit_tests/unit_tests\
 """
     )
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -610,7 +607,7 @@ def test_config_to_docker_local_deps():
     expected_docker_stdin = f"""\
 FROM langchain/langgraph-api-custom:3.11
 # -- Adding non-package dependency graphs --
-ADD ./graphs /deps/__outer_graphs/src
+ADD ./graphs /deps/outer-graphs/src
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "graphs"' \\
@@ -620,13 +617,13 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
+        echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}\
 """
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -660,7 +657,7 @@ dependencies = ["langchain"]"""
 ADD . /deps/unit_tests
 # -- End of local package . --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/unit_tests/graphs/agent.py:graph"}'
 """
@@ -692,9 +689,9 @@ def test_config_to_docker_end_to_end():
 ARG meow
 ARG foo
 ADD pipconfig.txt /pipconfig.txt
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt langchain langchain_openai
+RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt langchain langchain_openai
 # -- Adding non-package dependency graphs --
-ADD ./graphs/ /deps/__outer_graphs/src
+ADD ./graphs/ /deps/outer-graphs/src
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "graphs"' \\
@@ -704,13 +701,13 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_graphs/pyproject.toml; \\
+        echo "$line" >> /deps/outer-graphs/pyproject.toml; \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_graphs/src/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}"""
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {}
@@ -800,7 +797,7 @@ def test_config_to_docker_gen_ui_python():
     expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
 RUN /storage/install-node.sh
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/__outer_unit_tests/unit_tests
+ADD . /deps/outer-unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -810,21 +807,21 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
 ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}'
 ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}'
-ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 # -- Installing JS dependencies --
 ENV NODE_VERSION=20
-RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
+RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
 # -- End of JS dependencies install --
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/__outer_unit_tests/unit_tests"""
+WORKDIR /deps/outer-unit_tests/unit_tests"""
 
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {}
@@ -846,7 +843,7 @@ def test_config_to_docker_multiplatform():
     expected_docker_stdin = f"""FROM langchain/langgraph-api:3.11
 RUN /storage/install-node.sh
 # -- Adding non-package dependency unit_tests --
-ADD . /deps/__outer_unit_tests/unit_tests
+ADD . /deps/outer-unit_tests/unit_tests
 RUN set -ex && \\
     for line in '[project]' \\
                 'name = "unit_tests"' \\
@@ -856,19 +853,19 @@ RUN set -ex && \\
                 '[build-system]' \\
                 'requires = ["setuptools>=61"]' \\
                 'build-backend = "setuptools.build_meta"'; do \\
-        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
 # -- End of local dependencies install --
-ENV LANGSERVE_GRAPHS='{{"python": "/deps/__outer_unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/__outer_unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
+ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
 # -- Installing JS dependencies --
 ENV NODE_VERSION=22
-RUN cd /deps/__outer_unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
+RUN cd /deps/outer-unit_tests/unit_tests && npm i && tsx /api/langgraph_api/js/build.mts
 # -- End of JS dependencies install --
 {FORMATTED_CLEANUP_LINES}
-WORKDIR /deps/__outer_unit_tests/unit_tests"""
+WORKDIR /deps/outer-unit_tests/unit_tests"""
 
     assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
     assert additional_contexts == {}
@@ -890,7 +887,7 @@ def test_config_to_docker_pip_installer():
     docker_auto, _ = config_to_docker(
         PATH_TO_CONFIG, config_auto, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system" in docker_auto
+    assert "uv pip install --system --prerelease=allow" in docker_auto
     assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto
 
     # Test explicit pip setting
@@ -898,7 +895,7 @@ def test_config_to_docker_pip_installer():
     docker_pip, _ = config_to_docker(
         PATH_TO_CONFIG, config_pip, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system" not in docker_pip
+    assert "uv pip install --system --prerelease=allow" not in docker_pip
     assert "pip install" in docker_pip
     assert "rm /usr/bin/uv" not in docker_pip
 
@@ -907,7 +904,7 @@ def test_config_to_docker_pip_installer():
     docker_uv, _ = config_to_docker(
         PATH_TO_CONFIG, config_uv, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system" in docker_uv
+    assert "uv pip install --system --prerelease=allow" in docker_uv
     assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv
 
     # Test auto behavior with older image (should use pip)
@@ -917,7 +914,7 @@ def test_config_to_docker_pip_installer():
     docker_auto_old, _ = config_to_docker(
         PATH_TO_CONFIG, config_auto_old, "langchain/langgraph-api:0.2.46"
     )
-    assert "uv pip install --system" not in docker_auto_old
+    assert "uv pip install --system --prerelease=allow" not in docker_auto_old
     assert "pip install" in docker_auto_old
     assert "rm /usr/bin/uv" not in docker_auto_old
 
@@ -926,7 +923,7 @@ def test_config_to_docker_pip_installer():
     docker_default, _ = config_to_docker(
         PATH_TO_CONFIG, config_default, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system" in docker_default
+    assert "uv pip install --system --prerelease=allow" in docker_default
 
 
 def test_config_retain_build_tools():
@@ -987,7 +984,7 @@ def test_config_to_compose_simple_config():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/__outer_unit_tests/unit_tests
+                ADD . /deps/outer-unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -997,15 +994,15 @@ def test_config_to_compose_simple_config():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/__outer_unit_tests/unit_tests
+                WORKDIR /deps/outer-unit_tests/unit_tests
         """
     actual_compose_stdin = config_to_compose(
         PATH_TO_CONFIG,
@@ -1028,7 +1025,7 @@ def test_config_to_compose_env_vars():
             dockerfile_inline: |
                 FROM langchain/langgraph-api-custom:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/__outer_unit_tests/unit_tests
+                ADD . /deps/outer-unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1038,15 +1035,15 @@ def test_config_to_compose_env_vars():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/__outer_unit_tests/unit_tests
+                WORKDIR /deps/outer-unit_tests/unit_tests
         """
     openai_api_key = "key"
     actual_compose_stdin = config_to_compose(
@@ -1073,7 +1070,7 @@ def test_config_to_compose_env_file():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/__outer_unit_tests/unit_tests
+                ADD . /deps/outer-unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1083,15 +1080,15 @@ def test_config_to_compose_env_file():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/__outer_unit_tests/unit_tests
+                WORKDIR /deps/outer-unit_tests/unit_tests
         """
     actual_compose_stdin = config_to_compose(
         PATH_TO_CONFIG,
@@ -1111,7 +1108,7 @@ def test_config_to_compose_watch():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/__outer_unit_tests/unit_tests
+                ADD . /deps/outer-unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1121,15 +1118,15 @@ def test_config_to_compose_watch():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/__outer_unit_tests/unit_tests
+                WORKDIR /deps/outer-unit_tests/unit_tests
         
         develop:
             watch:
@@ -1158,7 +1155,7 @@ def test_config_to_compose_end_to_end():
             dockerfile_inline: |
                 FROM langchain/langgraph-api:3.11
                 # -- Adding non-package dependency unit_tests --
-                ADD . /deps/__outer_unit_tests/unit_tests
+                ADD . /deps/outer-unit_tests/unit_tests
                 RUN set -ex && \\
                     for line in '[project]' \\
                                 'name = "unit_tests"' \\
@@ -1168,15 +1165,15 @@ def test_config_to_compose_end_to_end():
                                 '[build-system]' \\
                                 'requires = ["setuptools>=61"]' \\
                                 'build-backend = "setuptools.build_meta"'; do \\
-                        echo "$line" >> /deps/__outer_unit_tests/pyproject.toml; \\
+                        echo "$line" >> /deps/outer-unit_tests/pyproject.toml; \\
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
                 # -- End of local dependencies install --
-                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/__outer_unit_tests/unit_tests/agent.py:graph"}}'
+                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
-                WORKDIR /deps/__outer_unit_tests/unit_tests
+                WORKDIR /deps/outer-unit_tests/unit_tests
         
         develop:
             watch:
@@ -1339,19 +1336,22 @@ def test_docker_tag_different_node_versions_with_distro():
         assert tag == expected_tag, f"Failed for Node.js {node_version}"
 
 
-def test_docker_tag_with_api_version():
+@pytest.mark.parametrize("in_config", [False, True])
+def test_docker_tag_with_api_version(in_config: bool):
     """Test docker_tag function with api_version parameter."""
 
     # Test 1: Python config with api_version and default distro
+    version = "0.2.74"
     config = validate_config(
         {
             "python_version": "3.11",
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
+            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version="0.2.74")
-    assert tag == "langchain/langgraph-api:0.2.74-py3.11"
+    tag = docker_tag(config, api_version=version if not in_config else None)
+    assert tag == f"langchain/langgraph-api:{version}-py3.11"
 
     # Test 2: Python config with api_version and wolfi distro
     config = validate_config(
@@ -1360,20 +1360,22 @@ def test_docker_tag_with_api_version():
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
             "image_distro": "wolfi",
+            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version="0.2.74")
-    assert tag == "langchain/langgraph-api:0.2.74-py3.12-wolfi"
+    tag = docker_tag(config, api_version=version if not in_config else None)
+    assert tag == f"langchain/langgraph-api:{version}-py3.12-wolfi"
 
     # Test 3: Node.js config with api_version and default distro
     config = validate_config(
         {
             "node_version": "20",
             "graphs": {"agent": "./agent.js:graph"},
+            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version="0.2.74")
-    assert tag == "langchain/langgraphjs-api:0.2.74-node20"
+    tag = docker_tag(config, api_version=version if not in_config else None)
+    assert tag == f"langchain/langgraphjs-api:{version}-node20"
 
     # Test 4: Node.js config with api_version and wolfi distro
     config = validate_config(
@@ -1381,10 +1383,11 @@ def test_docker_tag_with_api_version():
             "node_version": "20",
             "graphs": {"agent": "./agent.js:graph"},
             "image_distro": "wolfi",
+            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version="0.2.74")
-    assert tag == "langchain/langgraphjs-api:0.2.74-node20-wolfi"
+    tag = docker_tag(config, api_version=version if not in_config else None)
+    assert tag == f"langchain/langgraphjs-api:{version}-node20-wolfi"
 
     # Test 5: Custom base image with api_version
     config = validate_config(
@@ -1393,10 +1396,15 @@ def test_docker_tag_with_api_version():
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
             "base_image": "my-registry/custom-image",
+            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, base_image="my-registry/custom-image", api_version="1.0.0")
-    assert tag == "my-registry/custom-image:1.0.0-py3.11"
+    tag = docker_tag(
+        config,
+        base_image="my-registry/custom-image",
+        api_version=version if not in_config else None,
+    )
+    assert tag == f"my-registry/custom-image:{version}-py3.11"
 
     # Test 6: api_version with different Python versions
     for python_version in ["3.11", "3.12", "3.13"]:
@@ -1405,10 +1413,11 @@ def test_docker_tag_with_api_version():
                 "python_version": python_version,
                 "dependencies": ["."],
                 "graphs": {"agent": "./agent.py:graph"},
+                "api_version": version if in_config else None,
             }
         )
-        tag = docker_tag(config, api_version="0.2.74")
-        assert tag == f"langchain/langgraph-api:0.2.74-py{python_version}"
+        tag = docker_tag(config, api_version=version if not in_config else None)
+        assert tag == f"langchain/langgraph-api:{version}-py{python_version}"
 
     # Test 7: Without api_version should work as before
     config = validate_config(
@@ -1428,10 +1437,11 @@ def test_docker_tag_with_api_version():
             "node_version": "20",
             "dependencies": ["."],
             "graphs": {"python": "./agent.py:graph", "js": "./agent.js:graph"},
+            "api_version": version if in_config else None,
         }
     )
-    tag = docker_tag(config, api_version="0.2.74")
-    assert tag == "langchain/langgraph-api:0.2.74-py3.11"
+    tag = docker_tag(config, api_version=version if not in_config else None)
+    assert tag == f"langchain/langgraph-api:{version}-py3.11"
 
     # Test 9: api_version with _INTERNAL_docker_tag should ignore api_version
     config = validate_config(
@@ -1451,12 +1461,15 @@ def test_docker_tag_with_api_version():
             "python_version": "3.11",
             "dependencies": ["."],
             "graphs": {"agent": "./agent.py:graph"},
+            "api_version": version if in_config else None,
         }
     )
     tag = docker_tag(
-        config, base_image="langchain/langgraph-server:0.2", api_version="0.2.74"
+        config,
+        base_image="langchain/langgraph-server",
+        api_version=version if not in_config else None,
     )
-    assert tag == "langchain/langgraph-server:0.2-py3.11"
+    assert tag == f"langchain/langgraph-server:{version}-py3.11"
 
 
 def test_config_to_docker_with_api_version():

libs/cli/uv.lock

@@ -18,16 +18,16 @@ wheels = [
 
 [[package]]
 name = "anyio"
-version = "4.9.0"
+version = "4.10.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "idna", marker = "python_full_version >= '3.11'" },
     { name = "sniffio", marker = "python_full_version >= '3.11'" },
     { name = "typing-extensions", marker = "python_full_version >= '3.11' and python_full_version < '3.13'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/f1/b4/636b3b65173d3ce9a38ef5f0522789614e590dab6a8d505340a4efe4c567/anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6", size = 213252, upload-time = "2025-08-04T08:54:26.451Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/6f/12/e5e0282d673bb9746bacfb6e2dba8719989d3660cdb2ea79aee9a9651afb/anyio-4.10.0-py3-none-any.whl", hash = "sha256:60e474ac86736bbfd6f210f7a61218939c318f43f9972497381f1c5e930ed3d1", size = 107213, upload-time = "2025-08-04T08:54:24.882Z" },
 ]
 
 [[package]]
@@ -53,11 +53,11 @@ wheels = [
 
 [[package]]
 name = "certifi"
-version = "2025.7.14"
+version = "2025.8.3"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/b3/76/52c535bcebe74590f296d6c77c86dabf761c41980e1347a2422e4aa2ae41/certifi-2025.7.14.tar.gz", hash = "sha256:8ea99dbdfaaf2ba2f9bac77b9249ef62ec5218e7c2b2e903378ed5fccf765995", size = 163981, upload-time = "2025-07-14T03:29:28.449Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/dc/67/960ebe6bf230a96cda2e0abcf73af550ec4f090005363542f0765df162e0/certifi-2025.8.3.tar.gz", hash = "sha256:e564105f78ded564e3ae7c923924435e1daa7463faeab5bb932bc53ffae63407", size = 162386, upload-time = "2025-08-03T03:07:47.08Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/4f/52/34c6cf5bb9285074dc3531c437b3919e825d976fde097a7a73f79e726d03/certifi-2025.7.14-py3-none-any.whl", hash = "sha256:6b31f564a415d79ee77df69d757bb49a5bb53bd9f756cbbe24394ffd6fc1f4b2", size = 162722, upload-time = "2025-07-14T03:29:26.863Z" },
+    { url = "https://files.pythonhosted.org/packages/e5/48/1549795ba7742c948d2ad169c1c8cdbae65bc450d6cd753d124b17c8cd32/certifi-2025.8.3-py3-none-any.whl", hash = "sha256:f6c12493cfb1b06ba2ff328595af9350c65d6644968e5d3a2ffd78699af217a5", size = 161216, upload-time = "2025-08-03T03:07:45.777Z" },
 ]
 
 [[package]]
@@ -131,76 +131,77 @@ wheels = [
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.2"
+version = "3.4.3"
 source = { registry = "https://pypi.org/simple" }
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 ]

libs/langgraph/.claude/settings.local.json

@@ -5,7 +5,9 @@
       "Bash(python:*)",
       "Bash(grep:*)",
       "Bash(sed:*)",
-      "Bash(awk:*)"
+      "Bash(awk:*)",
+      "Bash(uv run mypy:*)",
+      "Bash(uv run:*)"
     ],
     "deny": []
   }

libs/langgraph/Makefile

@@ -37,11 +37,11 @@ coverage:
 		--cov-report xml \
 		--cov-report term-missing:skip-covered
 
-start-postgres:
-	docker compose -f tests/compose-postgres.yml up -V --force-recreate --wait --remove-orphans
+start-services:
+	docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml up -V --force-recreate --wait --remove-orphans
 
-stop-postgres:
-	docker compose -f tests/compose-postgres.yml down -v
+stop-services:
+	docker compose -f tests/compose-postgres.yml -f tests/compose-redis.yml down -v
 
 start-dev-server:
 	LOG_LEVEL=warning uv run langgraph dev --config tests/example_app/langgraph.json --no-browser & echo "$$!" > .devserver.pid
@@ -60,11 +60,11 @@ NO_DOCKER ?= $(sh command -v docker >/dev/null 2>&1 && echo "false" || echo "tru
 
 test:
 	if [ "$(NO_DOCKER)" = "false" ]; then \
-		make start-postgres &&\
+		make start-services &&\
 		make start-dev-server &&\
 		uv run pytest $(TEST); \
 		EXIT_CODE=$$?; \
-		make stop-postgres; \
+		make stop-services; \
 		make stop-dev-server; \
 		exit $$EXIT_CODE; \
 	else \
@@ -74,11 +74,11 @@ test:
 	fi
 
 test_parallel:
-	make start-postgres &&\
+	make start-services &&\
 	make start-dev-server &&\
 	uv run pytest -n auto --dist worksteal $(TEST); \
 	EXIT_CODE=$$?; \
-	make stop-postgres; \
+	make stop-services; \
 	make stop-dev-server; \
 	exit $$EXIT_CODE
 
@@ -93,11 +93,11 @@ MAXFAIL_ARGS := $(if $(MAXFAIL),--maxfail $(MAXFAIL),)
 XDIST_ARGS := $(if $(WORKERS),-x $(XDIST_ARGS),)
 
 test_watch:
-	make start-postgres &&\
+	make start-services &&\
 	make start-dev-server &&\
 	uv run ptw . -- --ff -vv $(XDIST_ARGS) $(MAXFAIL_ARGS) $(TEST); \
 	EXIT_CODE=$$?; \
-	make stop-postgres; \
+	make stop-services; \
 	make stop-dev-server; \
 	exit $$EXIT_CODE
 

libs/langgraph/README.md

@@ -71,7 +71,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 
 ## Additional resources
 
-- [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
+- [Guides](https://langchain-ai.github.io/langgraph/guides/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
 - [Examples](https://langchain-ai.github.io/langgraph/examples/): 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.

libs/langgraph/langgraph/func/__init__.py

@@ -100,16 +100,25 @@ def task(
     retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
     cache_policy: CachePolicy[Callable[P, str | bytes]] | None = None,
     **kwargs: Unpack[DeprecatedKwargs],
-) -> Callable[
-    [Callable[P, Awaitable[T]] | Callable[P, T]],
-    _TaskFunction[P, T],
-]: ...
+) -> Callable[[Callable[P, T]], _TaskFunction[P, T]]: ...
 
 
 @overload
 def task(
-    __func_or_none__: Callable[P, Awaitable[T]] | Callable[P, T],
-) -> _TaskFunction[P, T]: ...
+    *,
+    name: str | None = None,
+    retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
+    cache_policy: CachePolicy[Callable[P, str | bytes]] | None = None,
+    **kwargs: Unpack[DeprecatedKwargs],
+) -> Callable[[Callable[P, Awaitable[T]]], _TaskFunction[P, T]]: ...
+
+
+@overload
+def task(__func_or_none__: Callable[P, T]) -> _TaskFunction[P, T]: ...
+
+
+@overload
+def task(__func_or_none__: Callable[P, Awaitable[T]]) -> _TaskFunction[P, T]: ...
 
 
 def task(
@@ -120,7 +129,8 @@ def task(
     cache_policy: CachePolicy[Callable[P, str | bytes]] | None = None,
     **kwargs: Unpack[DeprecatedKwargs],
 ) -> (
-    Callable[[Callable[P, Awaitable[T]] | Callable[P, T]], _TaskFunction[P, T]]
+    Callable[[Callable[P, T]], _TaskFunction[P, T]]
+    | Callable[[Callable[P, Awaitable[T]]], _TaskFunction[P, T]]
     | _TaskFunction[P, T]
 ):
     """Define a LangGraph task using the `task` decorator.

libs/langgraph/langgraph/graph/_branch.py

@@ -41,16 +41,16 @@ _Writer = Callable[
 
 
 def _get_branch_path_input_schema(
-    path: Callable[..., Hashable | list[Hashable]]
-    | Callable[..., Awaitable[Hashable | list[Hashable]]]
-    | Runnable[Any, Hashable | list[Hashable]],
+    path: Callable[..., Hashable | Sequence[Hashable]]
+    | Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
+    | Runnable[Any, Hashable | Sequence[Hashable]],
 ) -> type[Any] | None:
     input = None
     # detect input schema annotation in the branch callable
     try:
         callable_: (
-            Callable[..., Hashable | list[Hashable]]
-            | Callable[..., Awaitable[Hashable | list[Hashable]]]
+            Callable[..., Hashable | Sequence[Hashable]]
+            | Callable[..., Awaitable[Hashable | Sequence[Hashable]]]
             | None
         ) = None
         if isinstance(path, (RunnableCallable, RunnableLambda)):

libs/langgraph/langgraph/graph/message.py

@@ -22,10 +22,11 @@ from langchain_core.messages import (
     convert_to_messages,
     message_chunk_to_message,
 )
-from typing_extensions import TypedDict
+from typing_extensions import TypedDict, deprecated
 
 from langgraph._internal._constants import CONF, CONFIG_KEY_SEND, NS_SEP
 from langgraph.graph.state import StateGraph
+from langgraph.warnings import LangGraphDeprecatedSinceV10
 
 __all__ = (
     "add_messages",
@@ -233,9 +234,16 @@ def add_messages(
     return merged
 
 
+@deprecated(
+    "MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
+    category=None,
+)
 class MessageGraph(StateGraph):
     """A StateGraph where every node receives a list of messages as input and returns one or more messages as output.
 
+    !!! warning "Deprecation"
+        MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.
+
     MessageGraph is a subclass of StateGraph whose entire state is a single, append-only* list of messages.
     Each node in a MessageGraph takes a list of messages as input and returns zero or more
     messages as output. The `add_messages` function is used to merge the output messages from each node
@@ -281,6 +289,11 @@ class MessageGraph(StateGraph):
     """
 
     def __init__(self) -> None:
+        warnings.warn(
+            "MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
+            category=LangGraphDeprecatedSinceV10,
+            stacklevel=2,
+        )
         super().__init__(Annotated[list[AnyMessage], add_messages])  # type: ignore[arg-type]