Bump

chore(langgraph): Omit other keys from metadata by default (#6047 )
Right now we include configuration as metadata (which is later passed to tracing callbacks). Right now we include any key that doesn't have a dunder prefix and whose value is a string or int. This PR proposes to also exclude keys with certain substrings (key, secret, token). I would also be in favor of dropping support for forwarding configurable values to metadata entirely, but this is a smaller, less controversial change. Add a test.
2026-08-27 01:52:25 +02:00 · 2025-09-09 14:28:42 -07:00 · 2025-09-09 14:28:33 -07:00 · 2025-09-09 19:01:12 +00:00 · 2025-09-09 17:52:11 +00:00 · 2025-09-09 15:43:42 +00:00
52 changed files with 820 additions and 320 deletions
@@ -14,12 +14,25 @@ jobs:
        python-version:
          - "3.10"
          - "3.11"
+        example:
+          - name: A
+            workdir: libs/cli/examples
+            tag: langgraph-test-a
+          - name: B
+            workdir: libs/cli/examples/graphs
+            tag: langgraph-test-b
+          - name: C
+            workdir: libs/cli/examples/graphs_reqs_a
+            tag: langgraph-test-c
+          - name: D
+            workdir: libs/cli/examples/graphs_reqs_b
+            tag: langgraph-test-d
    name: "CLI integration test"
    defaults:
      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
@@ -33,54 +46,24 @@ jobs:
          enable-cache: true
          cache-suffix: "cli-integration-test"
          ignore-nothing-to-cache: true
-      - name: Setup env
-        if: steps.changed-files.outputs.all
-        working-directory: libs/cli/examples
-        run: cat .env.example > .env
      - name: Install cli globally
        if: steps.changed-files.outputs.all
        run: pip install -e .
-      - name: Build and test service A
+      - name: Build and test service ${{ matrix.example.name }}
        if: steps.changed-files.outputs.all
-        working-directory: libs/cli/examples
+        working-directory: ${{ matrix.example.workdir }}
        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
-          cp .env.example .env
+          # Build the image for this example
+          langgraph build -t ${{ matrix.example.tag }}
+          # Prepare environment file from local or parent example directory
+          if [ -f .env.example ]; then cp .env.example .env; elif [ -f ../.env.example ]; then cp ../.env.example .env; fi
          if [ -n "${{ 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: ${{ secrets.LANGSMITH_API_KEY }}
-        run: |
-          langgraph build -t langgraph-test-b
-          cp ../.env.example .env
-          if [ -n "${{ 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: ${{ secrets.LANGSMITH_API_KEY }}
-        run: |
-          langgraph build -t langgraph-test-c
-          cp ../.env.example .env
-          if [ -n "${{ 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: ${{ secrets.LANGSMITH_API_KEY }}
-        run: |
-          langgraph build -t langgraph-test-d
-          cp ../.env.example .env
-          if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
-          timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d
+          # Run the integration test using the built tag
+          # Compute repo root to reference the shared script robustly
+          REPO_ROOT=$(git rev-parse --show-toplevel)
+          timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}

      - name: Build JS service
        if: steps.changed-files.outputs.all
@@ -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
@@ -17,6 +17,7 @@ jobs:
    strategy:
      matrix:
        python-version:
+          - "3.9"
          - "3.10"
          - "3.11"
          - "3.12"
@@ -24,7 +25,7 @@ jobs:

    name: "test #${{ matrix.python-version }}"
    steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
      - name: Set up Python ${{ matrix.python-version }}
        uses: astral-sh/setup-uv@v6
        with:
@@ -12,6 +12,7 @@ jobs:
    strategy:
      matrix:
        python-version:
+          - "3.9"
          - "3.10"
          - "3.11"
          - "3.12"
@@ -22,7 +23,7 @@ jobs:
        working-directory: libs/langgraph
    name: "test #${{ 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:
@@ -16,6 +16,7 @@ permissions:

 jobs:
  build:
+    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest

    outputs:
@@ -23,7 +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
@@ -74,9 +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: ${{ inputs.working-directory }}/dist/
@@ -17,7 +17,7 @@ jobs:
      run:
        working-directory: libs/langgraph
    steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
      - run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
      - name: Set up Python 3.11
        uses: astral-sh/setup-uv@v6
@@ -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
@@ -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:
@@ -100,9 +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
@@ -118,7 +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:
@@ -21,7 +21,7 @@
    
        steps:
          - name: Checkout
-            uses: actions/checkout@v4
+            uses: actions/checkout@v5
    
          - name: Install Dependencies
            run: |
@@ -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/

@@ -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

@@ -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
@@ -16,6 +16,7 @@ env:

 jobs:
  build:
+    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest

    outputs:
@@ -25,7 +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
@@ -86,7 +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
@@ -157,7 +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.
@@ -260,7 +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
@@ -269,7 +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/
@@ -301,7 +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
@@ -310,7 +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/
@@ -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:
@@ -16,13 +16,13 @@ jobs:
    runs-on: ubuntu-latest
    
    steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v5
      
      - name: Set up uv
        uses: astral-sh/setup-uv@v6
        with:
          # use minimum supported Python version
-          python-version: "3.10"
+          python-version: "3.9"
          enable-cache: true
          cache-suffix: "uv-lock-upgrade"
          
@@ -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.
@@ -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

@@ -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
        ...
    ```
@@ -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.
@@ -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.
@@ -1019,7 +1019,7 @@ console.log(await graph.invoke({}, { configurable: { myRuntimeValue: "b" } }));
    # Usage
    input_message = {"role": "user", "content": "hi"}
    # With no configuration, uses default (Anthropic)
-    response_1 = graph.invoke({"messages": [input_message]})["messages"][-1]
+    response_1 = graph.invoke({"messages": [input_message]}, context=ContextSchema())["messages"][-1]
    # Or, can set OpenAI
    response_2 = graph.invoke({"messages": [input_message]}, context={"model_provider": "openai"})["messages"][-1]

@@ -1205,7 +1205,7 @@ There are many use cases where you may wish for your node to have a custom retry
 To configure a retry policy, pass the `retry_policy` parameter to the [add_node](../reference/graphs.md#langgraph.graph.state.StateGraph.add_node). The `retry_policy` parameter takes in a `RetryPolicy` named tuple object. Below we instantiate a `RetryPolicy` object with the default parameters and associate it with a node:

 ```python
-from langgraph.pregel import RetryPolicy
+from langgraph.types import RetryPolicy

 builder.add_node(
    "node_name",
@@ -1260,7 +1260,7 @@ By default, the retry policy retries on any exception except for the following:
    from typing_extensions import TypedDict
    from langchain.chat_models import init_chat_model
    from langgraph.graph import END, MessagesState, StateGraph, START
-    from langgraph.pregel import RetryPolicy
+    from langgraph.types import RetryPolicy
    from langchain_community.utilities import SQLDatabase
    from langchain_core.messages import AIMessage

@@ -1422,15 +1422,15 @@ const builder = new StateGraph(State)
 :::

 ??? info "Why split application steps into a sequence with LangGraph?"
-LangGraph makes it easy to add an underlying persistence layer to your application.
-This allows state to be checkpointed in between the execution of nodes, so your LangGraph nodes govern:
+    LangGraph makes it easy to add an underlying persistence layer to your application.
+    This allows state to be checkpointed in between the execution of nodes, so your LangGraph nodes govern:

-    - How state updates are [checkpointed](../concepts/persistence.md)
-    - How interruptions are resumed in [human-in-the-loop](../concepts/human_in_the_loop.md) workflows
-    - How we can "rewind" and branch-off executions using LangGraph's [time travel](../concepts/time-travel.md) features
+- How state updates are [checkpointed](../concepts/persistence.md)
+- How interruptions are resumed in [human-in-the-loop](../concepts/human_in_the_loop.md) workflows
+- How we can "rewind" and branch-off executions using LangGraph's [time travel](../concepts/time-travel.md) features

-    They also determine how execution steps are [streamed](../concepts/streaming.md), and how your application is visualized
-    and debugged using [LangGraph Studio](../concepts/langgraph_studio.md).
+They also determine how execution steps are [streamed](../concepts/streaming.md), and how your application is visualized
+and debugged using [LangGraph Studio](../concepts/langgraph_studio.md).

 Let's demonstrate an end-to-end example. We will create a sequence of three steps:

@@ -2110,7 +2110,6 @@ builder.add_edge(START, "generate_topics")
 builder.add_conditional_edges("generate_topics", continue_to_jokes, ["generate_joke"])
 builder.add_edge("generate_joke", "best_joke")
 builder.add_edge("best_joke", END)
-builder.add_edge("generate_topics", END)
 graph = builder.compile()
 ```

@@ -2333,7 +2332,7 @@ from IPython.display import Image, display
 display(Image(graph.get_graph().draw_mermaid_png()))
 ```

-![Simple loop graph](assets/graph_api_image_3.png)
+![Simple loop graph](assets/graph_api_image_7.png)
 :::

 :::js
@@ -3272,7 +3271,7 @@ from langchain_core.runnables.graph import CurveStyle, MermaidDrawMethod, NodeSt
 display(Image(app.get_graph().draw_mermaid_png()))
 ```

-![Fractal graph visualization](assets/graph_api_image_5.png)
+![Fractal graph visualization](assets/graph_api_image_10.png)

 **Using Mermaid + Pyppeteer**

@@ -3320,4 +3319,4 @@ const imageBuffer = new Uint8Array(await image.arrayBuffer());

 await fs.writeFile("graph.png", imageBuffer);
 ```
-:::
+:::
@@ -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'}
@@ -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"]
@@ -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",
@@ -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"
@@ -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"
@@ -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 == "*":
@@ -5,12 +5,13 @@ 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):
+    def setup(self) -> None:
        """Set up test Redis client and cache."""
        self.client = redis.Redis(
            host="localhost", port=6379, db=0, decode_responses=False
@@ -20,21 +21,21 @@ class TestRedisCache:
        except redis.ConnectionError:
            pytest.skip("Redis server not available")

-        self.cache = RedisCache(self.client, prefix="test:cache:")
+        self.cache: RedisCache = RedisCache(self.client, prefix="test:cache:")

        # Clean up before each test
        self.client.flushdb()

-    def teardown_method(self):
+    def teardown_method(self) -> None:
        """Clean up after each test."""
        try:
            self.client.flushdb()
        except Exception:
            pass

-    def test_basic_set_and_get(self):
+    def test_basic_set_and_get(self) -> None:
        """Test basic set and get operations."""
-        keys = [(("graph", "node"), "key1")]
+        keys: list[FullKey] = [(("graph", "node"), "key1")]
        values = {keys[0]: ({"result": 42}, None)}

        # Set value
@@ -45,9 +46,9 @@ class TestRedisCache:
        assert len(result) == 1
        assert result[keys[0]] == {"result": 42}

-    def test_batch_operations(self):
+    def test_batch_operations(self) -> None:
        """Test batch set and get operations."""
-        keys = [
+        keys: list[FullKey] = [
            (("graph", "node1"), "key1"),
            (("graph", "node2"), "key2"),
            (("other", "node"), "key3"),
@@ -68,9 +69,9 @@ class TestRedisCache:
        assert result[keys[1]] == {"result": 2}
        assert result[keys[2]] == {"result": 3}

-    def test_ttl_behavior(self):
+    def test_ttl_behavior(self) -> None:
        """Test TTL (time-to-live) functionality."""
-        key = (("graph", "node"), "ttl_key")
+        key: FullKey = (("graph", "node"), "ttl_key")
        values = {key: ({"data": "expires_soon"}, 1)}  # 1 second TTL

        # Set with TTL
@@ -88,10 +89,10 @@ class TestRedisCache:
        result = self.cache.get([key])
        assert len(result) == 0

-    def test_namespace_isolation(self):
+    def test_namespace_isolation(self) -> None:
        """Test that different namespaces are isolated."""
-        key1 = (("graph1", "node"), "same_key")
-        key2 = (("graph2", "node"), "same_key")
+        key1: FullKey = (("graph1", "node"), "same_key")
+        key2: FullKey = (("graph2", "node"), "same_key")

        values = {key1: ({"graph": 1}, None), key2: ({"graph": 2}, None)}

@@ -101,9 +102,12 @@ class TestRedisCache:
        assert result[key1] == {"graph": 1}
        assert result[key2] == {"graph": 2}

-    def test_clear_all(self):
+    def test_clear_all(self) -> None:
        """Test clearing all cached values."""
-        keys = [(("graph", "node1"), "key1"), (("graph", "node2"), "key2")]
+        keys: list[FullKey] = [
+            (("graph", "node1"), "key1"),
+            (("graph", "node2"), "key2"),
+        ]
        values = {keys[0]: ({"result": 1}, None), keys[1]: ({"result": 2}, None)}

        self.cache.set(values)
@@ -119,9 +123,9 @@ class TestRedisCache:
        result = self.cache.get(keys)
        assert len(result) == 0

-    def test_clear_by_namespace(self):
+    def test_clear_by_namespace(self) -> None:
        """Test clearing cached values by namespace."""
-        keys = [
+        keys: list[FullKey] = [
            (("graph1", "node"), "key1"),
            (("graph2", "node"), "key2"),
            (("graph1", "other"), "key3"),
@@ -142,7 +146,7 @@ class TestRedisCache:
        assert len(result) == 1
        assert result[keys[1]] == {"result": 2}

-    def test_empty_operations(self):
+    def test_empty_operations(self) -> None:
        """Test behavior with empty keys/values."""
        # Empty get
        result = self.cache.get([])
@@ -151,14 +155,14 @@ class TestRedisCache:
        # Empty set
        self.cache.set({})  # Should not raise error

-    def test_nonexistent_keys(self):
+    def test_nonexistent_keys(self) -> None:
        """Test getting keys that don't exist."""
-        keys = [(("graph", "node"), "nonexistent")]
+        keys: list[FullKey] = [(("graph", "node"), "nonexistent")]
        result = self.cache.get(keys)
        assert len(result) == 0

    @pytest.mark.asyncio
-    async def test_async_operations(self):
+    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)
@@ -167,9 +171,9 @@ class TestRedisCache:
        except Exception:
            pytest.skip("Redis not available")

-        cache = RedisCache(client, prefix="test:async:")
+        cache: RedisCache = RedisCache(client, prefix="test:async:")

-        keys = [(("graph", "node"), "async_key")]
+        keys: list[FullKey] = [(("graph", "node"), "async_key")]
        values = {keys[0]: ({"async": True}, None)}

        # Async set (delegates to sync)
@@ -184,7 +188,7 @@ class TestRedisCache:
        client.flushdb()

    @pytest.mark.asyncio
-    async def test_async_clear(self):
+    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)
@@ -193,9 +197,9 @@ class TestRedisCache:
        except Exception:
            pytest.skip("Redis not available")

-        cache = RedisCache(client, prefix="test:async:")
+        cache: RedisCache = RedisCache(client, prefix="test:async:")

-        keys = [(("graph", "node"), "key")]
+        keys: list[FullKey] = [(("graph", "node"), "key")]
        values = {keys[0]: ({"data": "test"}, None)}

        await cache.aset(values)
@@ -214,44 +218,44 @@ class TestRedisCache:
        # Cleanup
        client.flushdb()

-    def test_redis_unavailable_get(self):
+    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(bad_client, prefix="test:cache:")
+        cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")

-        keys = [(("graph", "node"), "key")]
+        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):
+    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(bad_client, prefix="test:cache:")
+        cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")

-        keys = [(("graph", "node"), "key")]
+        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):
+    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(bad_client, prefix="test:cache:")
+        cache: RedisCache = RedisCache(bad_client, prefix="test:cache:")

-        keys = [(("graph", "node"), "key")]
+        keys: list[FullKey] = [(("graph", "node"), "key")]
        values = {keys[0]: ({"data": "test"}, None)}

        # Should return empty dict for get (delegates to sync)
@@ -261,10 +265,10 @@ class TestRedisCache:
        # Should not raise exception for set (delegates to sync)
        await cache.aset(values)  # Should silently fail

-    def test_corrupted_data_handling(self):
+    def test_corrupted_data_handling(self) -> None:
        """Test handling of corrupted data in Redis."""
        # Set some valid data first
-        keys = [(("graph", "node"), "valid_key")]
+        keys: list[FullKey] = [(("graph", "node"), "valid_key")]
        values = {keys[0]: ({"data": "valid"}, None)}
        self.cache.set(values)

@@ -273,33 +277,36 @@ class TestRedisCache:
        self.client.set(corrupted_key, b"invalid:data:format:too:many:colons")

        # Should skip corrupted entry and return only valid ones
-        all_keys = [keys[0], (("graph", "node"), "corrupted_key")]
+        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):
+    def test_key_parsing_edge_cases(self) -> None:
        """Test key parsing with edge cases."""
        # Test empty namespace
-        key1 = ((), "empty_ns")
+        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 = (("graph:with:colons", "node-with-dashes"), "key_with_underscores")
+        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):
+    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 = (("graph", "node"), "large_key")
+        key: FullKey = (("graph", "node"), "large_key")
        values = {key: (large_data, None)}

        self.cache.set(values)
@@ -1021,3 +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"
@@ -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)
@@ -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)
@@ -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)
@@ -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.
@@ -1,7 +1,7 @@
 from __future__ import annotations

 from collections import ChainMap
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
 from os import getenv
 from typing import Any, cast

@@ -312,11 +312,22 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
        for k, v in config.items():
            if _is_not_empty(v) and k not in CONFIG_KEYS:
                empty[CONF][k] = v
+    _empty_metadata = empty["metadata"]
    for key, value in empty[CONF].items():
-        if (
-            not key.startswith("__")
-            and isinstance(value, (str, int, float, bool))
-            and key not in empty["metadata"]
-        ):
-            empty["metadata"][key] = value
+        if _exclude_as_metadata(key, value, _empty_metadata):
+            continue
+        _empty_metadata[key] = value
    return empty
+
+
+_OMIT = ("key", "token", "secret", "password", "auth")
+
+
+def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
+    key_lower = key.casefold()
+    return (
+        key.startswith("__")
+        or not isinstance(value, (str, int, float, bool))
+        or key in metadata
+        or any(substr in key_lower for substr in _OMIT)
+    )
@@ -155,7 +155,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        graph = StateGraph(state_schema=State, context_schema=Context)

        def node(state: State, runtime: Runtime[Context]) -> dict:
-            r = runtie.context.get("r", 1.0)
+            r = runtime.context.get("r", 1.0)
            x = state["x"][-1]
            next_value = x * r * (1 - x)
            return {"x": next_value}
@@ -4,10 +4,10 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "1.0.0a3"
+version = "0.6.8"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -15,7 +15,7 @@ dependencies = [
    "langchain-core>=0.1",
    "langgraph-checkpoint>=2.1.0,<3.0.0",
    "langgraph-sdk>=0.2.2,<0.3.0",
-    "langgraph-prebuilt==0.7.0a2",
+    "langgraph-prebuilt>=0.6.0,<0.7.0",
    "xxhash>=3.5.0",
    "pydantic>=2.7.4",
 ]
@@ -37,7 +37,6 @@ dev = [
    "jupyter",
    "pytest-xdist[psutil]",
    "pytest-repeat",
-    "langchain-core==1.0.0a1",
    "langgraph-prebuilt",
    "langgraph-checkpoint",
    "langgraph-checkpoint-sqlite",
@@ -74,26 +74,17 @@ class FakeChatModel(GenericFakeChatModel):
            assert isinstance(content, str)
            content_chunks = cast(list[str], re.split(r"(\s)", content))

-            for i, token in enumerate(content_chunks):
-                if i == len(content_chunks) - 1:
-                    chunk = ChatGenerationChunk(
-                        message=AIMessageChunk(
-                            content=token, id=message.id, chunk_position="last"
-                        )
-                    )
-                else:
-                    chunk = ChatGenerationChunk(
-                        message=AIMessageChunk(content=token, id=message.id)
-                    )
+            for token in content_chunks:
+                chunk = ChatGenerationChunk(
+                    message=AIMessageChunk(content=token, id=message.id)
+                )
                if run_manager:
                    run_manager.on_llm_new_token(token, chunk=chunk)
                yield chunk
        else:
            args = message.__dict__
            args.pop("type")
-            chunk = ChatGenerationChunk(
-                message=AIMessageChunk(**args, chunk_position="last")
-            )
+            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
            if run_manager:
                run_manager.on_llm_new_token("", chunk=chunk)
            yield chunk
@@ -131,27 +122,17 @@ class FakeChatModel(GenericFakeChatModel):
            assert isinstance(content, str)
            content_chunks = cast(list[str], re.split(r"(\s)", content))

-            for i, token in enumerate(content_chunks):
-                if i == len(content_chunks) - 1:
-                    chunk = ChatGenerationChunk(
-                        message=AIMessageChunk(
-                            content=token, id=message.id, chunk_position="last"
-                        )
-                    )
-                else:
-                    chunk = ChatGenerationChunk(
-                        message=AIMessageChunk(content=token, id=message.id)
-                    )
-
+            for token in content_chunks:
+                chunk = ChatGenerationChunk(
+                    message=AIMessageChunk(content=token, id=message.id)
+                )
                if run_manager:
                    run_manager.on_llm_new_token(token, chunk=chunk)
                yield chunk
        else:
            args = message.__dict__
            args.pop("type")
-            chunk = ChatGenerationChunk(
-                message=AIMessageChunk(**args, chunk_position="last")
-            )
+            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
            if run_manager:
                await run_manager.on_llm_new_token("", chunk=chunk)
            yield chunk
@@ -1387,7 +1387,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                        "type": "tool_call_chunk",
                    }
                ],
-                chunk_position="last",
            ),
            {
                "langgraph_step": 1,
@@ -1447,7 +1446,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                        "type": "tool_call_chunk",
                    },
                ],
-                chunk_position="last",
            ),
            {
                "langgraph_step": 3,
@@ -1496,7 +1494,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
        (
            _AnyIdAIMessageChunk(
                content="answer",
-                chunk_position="last",
            ),
            {
                "langgraph_step": 5,
@@ -1140,7 +1140,6 @@ async def test_prebuilt_tool_chat() -> None:
                        "type": "tool_call_chunk",
                    }
                ],
-                chunk_position="last",
            ),
            {
                "langgraph_step": 1,
@@ -1200,7 +1199,6 @@ async def test_prebuilt_tool_chat() -> None:
                        "type": "tool_call_chunk",
                    },
                ],
-                chunk_position="last",
            ),
            {
                "langgraph_step": 3,
@@ -1249,7 +1247,6 @@ async def test_prebuilt_tool_chat() -> None:
        (
            _AnyIdAIMessageChunk(
                content="answer",
-                chunk_position="last",
            ),
            {
                "langgraph_step": 5,
@@ -20,10 +20,7 @@ from langgraph.graph.message import REMOVE_ALL_MESSAGES, MessagesState, push_mes
 from langgraph.graph.state import StateGraph
 from tests.messages import _AnyIdHumanMessage

-_, CORE_MINOR, CORE_PATCH = (
-    int("".join(c for c in v if c.isdigit()))
-    for v in langchain_core.__version__.split(".")
-)
+_, CORE_MINOR, CORE_PATCH = (int(v) for v in langchain_core.__version__.split("."))


 def test_add_single_message():
@@ -6597,7 +6597,7 @@ def test_tags_stream_mode_messages() -> None:
        )
    ) == [
        (
-            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
+            _AnyIdAIMessageChunk(content="foo"),
            {
                "langgraph_step": 1,
                "langgraph_node": "call_model",
@@ -7547,7 +7547,7 @@ async def test_tags_stream_mode_messages() -> None:
        )
    ] == [
        (
-            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
+            _AnyIdAIMessageChunk(content="foo"),
            {
                "langgraph_step": 1,
                "langgraph_node": "call_model",
@@ -17,16 +17,13 @@ import langsmith
 import pytest
 from typing_extensions import NotRequired, Required, TypedDict

-from langgraph._internal._config import _is_not_empty
+from langgraph._internal._config import _is_not_empty, ensure_config
 from langgraph._internal._fields import (
    _is_optional_type,
    get_enhanced_type_hints,
    get_field_default,
 )
-from langgraph._internal._runnable import (
-    is_async_callable,
-    is_async_generator,
-)
+from langgraph._internal._runnable import is_async_callable, is_async_generator
 from langgraph.constants import END
 from langgraph.graph import StateGraph
 from langgraph.graph.state import CompiledStateGraph
@@ -301,3 +298,24 @@ def test_is_not_empty() -> None:
    assert not _is_not_empty([])
    assert not _is_not_empty(())
    assert not _is_not_empty({})
+
+
+def test_configurable_metadata():
+    config = {
+        "configurable": {
+            "a-key": "foo",
+            "somesecretval": "bar",
+            "sometoken": "thetoken",
+            "__dontinclude": "bar",
+            "includeme": "hi",
+            "andme": 42,
+            "nested": {"foo": "bar"},
+            "nooverride": -2,
+        },
+        "metadata": {"nooverride": 18},
+    }
+    expected = {"includeme", "andme", "nooverride"}
+    merged = ensure_config(config)
+    metadata = merged["metadata"]
+    assert metadata.keys() == expected
+    assert metadata["nooverride"] == 18
@@ -1,10 +1,11 @@
 version = 1
-revision = 2
-requires-python = ">=3.10"
+revision = 3
+requires-python = ">=3.9"
 resolution-markers = [
    "python_full_version >= '3.14'",
    "python_full_version >= '3.11' and python_full_version < '3.14'",
-    "python_full_version < '3.11'",
+    "python_full_version == '3.10.*'",
+    "python_full_version < '3.10'",
 ]

 [[package]]
@@ -95,7 +96,8 @@ version = "25.1.0"
 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
    "python_full_version >= '3.11' and python_full_version < '3.14'",
-    "python_full_version < '3.11'",
+    "python_full_version == '3.10.*'",
+    "python_full_version < '3.10'",
 ]
 dependencies = [
    { name = "cffi", marker = "python_full_version < '3.14'" },
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@@ -34,7 +34,7 @@ from langchain_core.runnables import (
 )
 from langchain_core.tools import BaseTool
 from pydantic import BaseModel
-from typing_extensions import Annotated, NotRequired, TypedDict, deprecated
+from typing_extensions import Annotated, NotRequired, TypedDict

 from langgraph._internal._runnable import RunnableCallable, RunnableLike
 from langgraph._internal._typing import MISSING
@@ -52,12 +52,13 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10

 StructuredResponse = Union[dict, BaseModel]
 StructuredResponseSchema = Union[dict, type[BaseModel]]
+F = TypeVar("F", bound=Callable[..., Any])


-@deprecated(
-    "AgentState has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentState'.",
-    category=LangGraphDeprecatedSinceV10,
-)
+# We create the AgentState that we will pass around
+# This simply involves a list of messages
+# We want steps to return messages to append to the list
+# So we annotate the messages attribute with `add_messages` reducer
 class AgentState(TypedDict):
    """The state of the agent."""

@@ -66,10 +67,6 @@ class AgentState(TypedDict):
    remaining_steps: NotRequired[RemainingSteps]


-@deprecated(
-    "AgentStatePydantic has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStatePydantic'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class AgentStatePydantic(BaseModel):
    """The state of the agent."""

@@ -78,20 +75,12 @@ class AgentStatePydantic(BaseModel):
    remaining_steps: RemainingSteps = 25


-@deprecated(
-    "AgentStateWithStructuredResponse has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStateWithStructuredResponse'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class AgentStateWithStructuredResponse(AgentState):
    """The state of the agent with a structured response."""

    structured_response: StructuredResponse


-@deprecated(
-    "AgentStateWithStructuredResponsePydantic has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStateWithStructuredResponsePydantic'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class AgentStateWithStructuredResponsePydantic(AgentStatePydantic):
    """The state of the agent with a structured response."""

@@ -256,10 +245,6 @@ def _validate_chat_history(
    raise ValueError(error_message)


-@deprecated(
-    "create_react_agent has been moved to langchain.agents. Please update your import to 'from langchain.agents import create_agent'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 def create_react_agent(
    model: Union[
        str,
@@ -405,6 +390,14 @@ def create_react_agent(
        state_schema: An optional state schema that defines graph state.
            Must have `messages` and `remaining_steps` keys.
            Defaults to `AgentState` that defines those two keys.
+            !!! Note
+                `remaining_steps` is used to limit the number of steps the react agent can take.
+                Calculated roughly as `recursion_limit` - `total_steps_taken`.
+                If `remaining_steps` is less than 2 and tool calls are present in the response,
+                the react agent will return a final AI Message with
+                the content "Sorry, need more steps to process this request.".
+                No `GraphRecusionError` will be raised in this case.
+
        context_schema: An optional schema for runtime context.
        checkpointer: An optional checkpoint saver object. This is used for persisting
            the state of the graph (e.g., as chat memory) for a single thread (e.g., a single conversation).
@@ -1,14 +1,8 @@
 from typing import Literal, Optional, Union

-from typing_extensions import TypedDict, deprecated
-
-from langgraph.warnings import LangGraphDeprecatedSinceV10
+from typing_extensions import TypedDict


-@deprecated(
-    "HumanInterruptConfig has been moved to langchain.agents.interrupt. Please update your import to 'from langchain.agents.interrupt import HumanInterruptConfig'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class HumanInterruptConfig(TypedDict):
    """Configuration that defines what actions are allowed for a human interrupt.

@@ -27,10 +21,6 @@ class HumanInterruptConfig(TypedDict):
    allow_accept: bool


-@deprecated(
-    "ActionRequest has been moved to langchain.agents.interrupt. Please update your import to 'from langchain.agents.interrupt import ActionRequest'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class ActionRequest(TypedDict):
    """Represents a request for human action within the graph execution.

@@ -45,10 +35,6 @@ class ActionRequest(TypedDict):
    args: dict


-@deprecated(
-    "HumanInterrupt has been moved to langchain.agents.interrupt. Please update your import to 'from langchain.agents.interrupt import HumanInterrupt'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class HumanInterrupt(TypedDict):
    """Represents an interrupt triggered by the graph that requires human intervention.

@@ -69,14 +69,13 @@ from langchain_core.tools.base import (
    get_all_basemodel_annotations,
 )
 from pydantic import BaseModel
-from typing_extensions import Annotated, deprecated, get_args, get_origin
+from typing_extensions import Annotated, get_args, get_origin

 from langgraph._internal._runnable import RunnableCallable
 from langgraph.errors import GraphBubbleUp
 from langgraph.graph.message import REMOVE_ALL_MESSAGES
 from langgraph.store.base import BaseStore
 from langgraph.types import Command, Send
-from langgraph.warnings import LangGraphDeprecatedSinceV10

 INVALID_TOOL_NAME_ERROR_TEMPLATE = (
    "Error: {requested_tool} is not a valid tool, try one of [{available_tools}]."
@@ -237,10 +236,6 @@ def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception],
    return (Exception,)


-@deprecated(
-    "ToolNode has been moved to langchain.agents.tool_node. Please update your import to 'from langchain.agents.tool_node import ToolNode'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class ToolNode(RunnableCallable):
    """A node that runs the tools called in the last AIMessage.

@@ -856,10 +851,6 @@ def tools_condition(
    return "__end__"


-@deprecated(
-    "InjectedState has been moved to langchain.agents.tool_node. Please update your import to 'from langchain.agents.tool_node import InjectedState'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class InjectedState(InjectedToolArg):
    """Annotation for injecting graph state into tool arguments.

@@ -934,10 +925,6 @@ class InjectedState(InjectedToolArg):
        self.field = field


-@deprecated(
-    "InjectedStore has been moved to langchain.agents.tool_node. Please update your import to 'from langchain.agents.tool_node import InjectedStore'.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class InjectedStore(InjectedToolArg):
    """Annotation for injecting persistent store into tool arguments.

@@ -32,10 +32,8 @@ from langchain_core.utils.pydantic import is_basemodel_subclass
 from pydantic import BaseModel, ValidationError
 from pydantic.v1 import BaseModel as BaseModelV1
 from pydantic.v1 import ValidationError as ValidationErrorV1
-from typing_extensions import deprecated

 from langgraph._internal._runnable import RunnableCallable
-from langgraph.warnings import LangGraphDeprecatedSinceV10


 def _default_format_error(
@@ -47,10 +45,6 @@ def _default_format_error(
    return f"{repr(error)}\n\nRespond after fixing all validation errors."


-@deprecated(
-    "ValidationNode is deprecated. Please use create_react_agent from langchain.agents with custom tool error handling.",
-    category=LangGraphDeprecatedSinceV10,
-)
 class ValidationNode(RunnableCallable):
    """A node that validates all tools requests from the last AIMessage.

@@ -4,10 +4,10 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-prebuilt"
-version = "0.7.0a2"
+version = "0.6.4"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
-requires-python = ">=3.10"
+requires-python = ">=3.9"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -28,7 +28,6 @@ dev = [
    "pytest-mock",
    "pytest-watcher",
    "mypy",
-    "langchain-core",
    "langgraph",
    "langgraph-checkpoint",
    "langgraph-checkpoint-sqlite",
@@ -1,6 +1,6 @@
 version = 1
-revision = 2
-requires-python = ">=3.10"
+revision = 3
+requires-python = ">=3.9"

 [[package]]
 name = "aiosqlite"
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