Update OpenAPI spec from LangGraph API v0.5.16

.github/workflows/_integration_test.yml

@@ -32,7 +32,7 @@ jobs:
       run:
         working-directory: libs/cli
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
       - name: Get changed files
         id: changed-files
         uses: Ana06/get-changed-files@v2.3.0

.github/workflows/_lint.yml

@@ -31,7 +31,7 @@ jobs:
           - "3.12"
     name: "lint #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v6
+      - 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@v6
+      - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/_test_langgraph.yml

@@ -23,7 +23,7 @@ jobs:
         working-directory: libs/langgraph
     name: "test #${{ matrix.python-version }}"
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/_test_release.yml

@@ -23,7 +23,7 @@ jobs:
       version: ${{ steps.check-version.outputs.version }}
 
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
 
       - name: Set up Python $${ env.PYTHON_VERSION }}
         uses: astral-sh/setup-uv@v7
@@ -74,7 +74,7 @@ jobs:
       id-token: write
 
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
 
       - uses: actions/download-artifact@v6
         with:

.github/workflows/baseline.yml

@@ -17,7 +17,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@v6
+      - 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@v7

.github/workflows/bench.yml

@@ -15,7 +15,7 @@ jobs:
       run:
         working-directory: libs/langgraph
     steps:
-      - uses: actions/checkout@v6
+      - 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@v6
+      - uses: actions/checkout@v5
       - uses: dorny/paths-filter@v3
         id: filter
         with:
@@ -100,7 +100,7 @@ jobs:
     name: "Check SDK methods matching"
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
       - name: Set up Python
         uses: actions/setup-python@v6
         with:
@@ -118,7 +118,7 @@ jobs:
         python-version:
           - "3.11"
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
       - name: Set up Python ${{ matrix.python-version }}
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/codespell.yml

@@ -21,7 +21,7 @@
     
         steps:
           - name: Checkout
-            uses: actions/checkout@v6
+            uses: actions/checkout@v5
     
           - name: Install Dependencies
             run: |

.github/workflows/deploy_docs.yml

@@ -26,7 +26,7 @@ jobs:
     env:
       GITHUB_TOKEN: ${{ secrets.MKDOCS_GITHUB_TOKEN }}
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
         with:
           fetch-depth: 0
 

.github/workflows/link_check.yml

@@ -19,7 +19,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v6
+        uses: actions/checkout@v5
         with:
           fetch-depth: 0
 
@@ -36,7 +36,7 @@ jobs:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout code
-        uses: actions/checkout@v6
+        uses: actions/checkout@v5
         with:
           fetch-depth: 1
 

.github/workflows/release.yml

@@ -25,7 +25,7 @@ jobs:
       tag: ${{ steps.check-version.outputs.tag }}
 
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v7
@@ -86,7 +86,7 @@ jobs:
     outputs:
       release-body: ${{ steps.generate-release-body.outputs.release-body }}
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
         with:
           repository: langchain-ai/langgraph
           path: langgraph
@@ -157,7 +157,7 @@ jobs:
       - test-pypi-publish
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
 
       # We explicitly *don't* set up caching here. This ensures our tests are
       # maximally sensitive to catching breakage.
@@ -260,7 +260,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v7
@@ -301,7 +301,7 @@ jobs:
         working-directory: ${{ inputs.working-directory }}
 
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
 
       - name: Set up Python
         uses: astral-sh/setup-uv@v7

.github/workflows/run_notebooks.yml

@@ -28,7 +28,7 @@ jobs:
           - "latest"
 
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
       - name: Set up Python + Poetry
         uses: astral-sh/setup-uv@v7
         with:

.github/workflows/uv_lock_ugprade.yml

@@ -16,7 +16,7 @@ jobs:
     runs-on: ubuntu-latest
     
     steps:
-      - uses: actions/checkout@v6
+      - uses: actions/checkout@v5
       
       - name: Set up uv
         uses: astral-sh/setup-uv@v7

docs/docs/cloud/reference/api/openapi.json

@@ -1776,7 +1776,7 @@
           "content": {
             "application/json": {
               "schema": {
-                "$ref": "#/components/schemas/ThreadCronCreate"
+                "$ref": "#/components/schemas/CronCreate"
               }
             }
           },
@@ -3895,19 +3895,18 @@
             "title": "Interrupt After",
             "description": "Nodes to interrupt immediately after they get executed."
           },
-          "on_run_completed": {
+          "multitask_strategy": {
             "type": "string",
-            "enum": ["delete", "keep"],
-            "default": "delete",
-            "title": "On Run Completed",
-            "description": "What to do with the thread after the run completes. 'delete' removes the thread after execution. 'keep' creates a new thread for each execution but does not clean them up."
+            "enum": ["reject", "rollback", "interrupt", "enqueue"],
+            "title": "Multitask Strategy",
+            "description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.",
+            "default": "enqueue"
           }
         },
         "type": "object",
         "required": ["assistant_id", "schedule"],
-        "additionalProperties": true,
         "title": "CronCreate",
-        "description": "Payload for creating a stateless cron job (creates a new thread for each execution)."
+        "description": "Payload for creating a cron job."
       },
       "CronSearch": {
         "properties": {
@@ -3968,7 +3967,6 @@
                 "cron_id",
                 "assistant_id",
                 "thread_id",
-                "on_run_completed",
                 "end_time",
                 "schedule",
                 "created_at",
@@ -4698,11 +4696,6 @@
             "title": "Graph Id",
             "description": "The ID of the graph to filter by. The graph ID is normally set in your langgraph.json configuration."
           },
-          "name": {
-            "type": "string",
-            "title": "Name",
-            "description": "Name of the assistant to filter by. The filtering logic will match (case insensitive) assistants where 'name' is a substring of the assistant name."
-          },
           "limit": {
             "type": "integer",
             "title": "Limit",
@@ -4809,10 +4802,7 @@
         "properties": {
           "ids": {
             "type": "array",
-            "items": {
-              "type": "string",
-              "format": "uuid"
-            },
+            "items": { "type": "string", "format": "uuid" },
             "title": "Ids",
             "description": "List of thread IDs to include. Others are excluded."
           },
@@ -5501,133 +5491,6 @@
         "type": "string",
         "title": "ErrorResponse",
         "description": "Error message returned from the server"
-      },
-      "ThreadCronCreate": {
-        "properties": {
-          "schedule": {
-            "type": "string",
-            "title": "Schedule",
-            "description": "The cron schedule to execute this job on."
-          },
-          "end_time": {
-            "type": "string",
-            "format": "date-time",
-            "title": "End Time",
-            "description": "The end date to stop running the cron."
-          },
-          "assistant_id": {
-            "anyOf": [
-              {
-                "type": "string",
-                "format": "uuid",
-                "title": "Assistant Id"
-              },
-              {
-                "type": "string",
-                "title": "Graph Id"
-              }
-            ],
-            "description": "The assistant ID or graph name to run. If using graph name, will default to the assistant automatically created from that graph by the server."
-          },
-          "input": {
-            "anyOf": [
-              {
-                "items": {
-                  "type": "object"
-                },
-                "type": "array"
-              },
-              {
-                "type": "object"
-              }
-            ],
-            "title": "Input",
-            "description": "The input to the graph."
-          },
-          "metadata": {
-            "type": "object",
-            "title": "Metadata",
-            "description": "Metadata to assign to the cron job runs."
-          },
-          "config": {
-            "properties": {
-              "tags": {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array",
-                "title": "Tags"
-              },
-              "recursion_limit": {
-                "type": "integer",
-                "title": "Recursion Limit"
-              },
-              "configurable": {
-                "type": "object",
-                "title": "Configurable"
-              }
-            },
-            "type": "object",
-            "title": "Config",
-            "description": "The configuration for the assistant."
-          },
-          "context": {
-            "type": "object",
-            "title": "Context",
-            "description": "Static context added to the assistant."
-          },
-          "webhook": {
-            "type": "string",
-            "maxLength": 65536,
-            "minLength": 1,
-            "format": "uri-reference",
-            "title": "Webhook",
-            "description": "Webhook to call after LangGraph API call is done."
-          },
-          "interrupt_before": {
-            "anyOf": [
-              {
-                "type": "string",
-                "enum": ["*"]
-              },
-              {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              }
-            ],
-            "title": "Interrupt Before",
-            "description": "Nodes to interrupt immediately before they get executed."
-          },
-          "interrupt_after": {
-            "anyOf": [
-              {
-                "type": "string",
-                "enum": ["*"]
-              },
-              {
-                "items": {
-                  "type": "string"
-                },
-                "type": "array"
-              }
-            ],
-            "title": "Interrupt After",
-            "description": "Nodes to interrupt immediately after they get executed."
-          },
-          "multitask_strategy": {
-            "type": "string",
-            "enum": ["reject", "rollback", "interrupt", "enqueue"],
-            "title": "Multitask Strategy",
-            "description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.",
-            "default": "enqueue"
-          }
-        },
-        "type": "object",
-        "required": ["assistant_id", "schedule"],
-        "title": "ThreadCronCreate",
-        "description": "Payload for creating a thread-specific cron job (runs on the same thread)."
       }
     },
     "responses": {

docs/pyproject.toml

@@ -26,6 +26,7 @@ docs = [
     "langgraph-checkpoint-postgres",
     "langgraph-sdk",
     "langgraph-supervisor",
+    "langgraph-swarm",
     "langchain-mcp-adapters",
     "langchain-ollama",
     "mkdocs",

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

@@ -60,28 +60,23 @@ class Checkpoint(TypedDict):
     """State snapshot at a given point in time."""
 
     v: int
-    """The version of the checkpoint format. Currently `1`."""
+    """The version of the checkpoint format. Currently 1."""
     id: str
-    """The ID of the checkpoint.
-    
-    This is both unique and monotonically increasing, so can be used for sorting
-    checkpoints from first to last."""
+    """The ID of the checkpoint. This is both unique and monotonically
+    increasing, so can be used for sorting checkpoints from first to last."""
     ts: str
     """The timestamp of the checkpoint in ISO 8601 format."""
     channel_values: dict[str, Any]
     """The values of the channels at the time of the checkpoint.
-    
     Mapping from channel name to deserialized channel snapshot value.
     """
     channel_versions: ChannelVersions
     """The versions of the channels at the time of the checkpoint.
-    
     The keys are channel names and the values are monotonically increasing
     version strings for each channel.
     """
     versions_seen: dict[str, ChannelVersions]
     """Map from node ID to map from channel name to version seen.
-    
     This keeps track of the versions of the channels that each node has seen.
     Used to determine which nodes to execute next.
     """
@@ -357,9 +352,8 @@ class BaseCheckpointSaver(Generic[V]):
     def get_next_version(self, current: V | None, channel: None) -> V:
         """Generate the next version ID for a channel.
 
-        Default is to use integer versions, incrementing by `1`.
-
-        If you override, you can use `str`/`int`/`float` versions, as long as they are monotonically increasing.
+        Default is to use integer versions, incrementing by `1`. If you override, you can use `str`/`int`/`float`
+        versions, as long as they are monotonically increasing.
 
         Args:
             current: The current version identifier (`int`, `float`, or `str`).

libs/checkpoint/langgraph/checkpoint/memory/__init__.py

@@ -33,7 +33,7 @@ class InMemorySaver(
 ):
     """An in-memory checkpoint saver.
 
-    This checkpoint saver stores checkpoints in memory using a `defaultdict`.
+    This checkpoint saver stores checkpoints in memory using a defaultdict.
 
     Note:
         Only use `InMemorySaver` for debugging or testing purposes.
@@ -44,23 +44,22 @@ class InMemorySaver(
     Args:
         serde: The serializer to use for serializing and deserializing checkpoints.
 
-    Example:
-        ```python
-        import asyncio
+    Examples:
 
-        from langgraph.checkpoint.memory import InMemorySaver
-        from langgraph.graph import StateGraph
+            import asyncio
 
-        builder = StateGraph(int)
-        builder.add_node("add_one", lambda x: x + 1)
-        builder.set_entry_point("add_one")
-        builder.set_finish_point("add_one")
+            from langgraph.checkpoint.memory import InMemorySaver
+            from langgraph.graph import StateGraph
 
-        memory = InMemorySaver()
-        graph = builder.compile(checkpointer=memory)
-        coro = graph.ainvoke(1, {"configurable": {"thread_id": "thread-1"}})
-        asyncio.run(coro)  # Output: 2
-        ```
+            builder = StateGraph(int)
+            builder.add_node("add_one", lambda x: x + 1)
+            builder.set_entry_point("add_one")
+            builder.set_finish_point("add_one")
+
+            memory = InMemorySaver()
+            graph = builder.compile(checkpointer=memory)
+            coro = graph.ainvoke(1, {"configurable": {"thread_id": "thread-1"}})
+            asyncio.run(coro)  # Output: 2
     """
 
     # thread ID ->  checkpoint NS -> checkpoint ID -> checkpoint mapping

libs/checkpoint/langgraph/checkpoint/serde/base.py

@@ -52,13 +52,12 @@ def maybe_add_typed_methods(
 
 class CipherProtocol(Protocol):
     """Protocol for encryption and decryption of data.
-
     - `encrypt`: Encrypt plaintext.
     - `decrypt`: Decrypt ciphertext.
     """
 
     def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
-        """Encrypt plaintext. Returns a tuple `(cipher name, ciphertext)`."""
+        """Encrypt plaintext. Returns a tuple (cipher name, ciphertext)."""
         ...
 
     def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:

libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py

@@ -41,12 +41,10 @@ logger = logging.getLogger(__name__)
 class JsonPlusSerializer(SerializerProtocol):
     """Serializer that uses ormsgpack, with optional fallbacks.
 
-    !!! warning
-
-        Security note: This serializer is intended for use within the `BaseCheckpointSaver`
-        class and called within the Pregel loop. It should not be used on untrusted
-        python objects. If an attacker can write directly to your checkpoint database,
-        they may be able to trigger code execution when data is deserialized.
+    Security note: this serializer is intended for use within the BaseCheckpointSaver
+    class and called within the Pregel loop. It should not be used on untrusted
+    python objects. If an attacker can write directly to your checkpoint database,
+    they may be able to trigger code execution when data is deserialized.
     """
 
     def __init__(

libs/langgraph/langgraph/channels/base.py

@@ -39,19 +39,14 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
 
     def copy(self) -> Self:
         """Return a copy of the channel.
-
         By default, delegates to `checkpoint()` and `from_checkpoint()`.
-
-        Subclasses can override this method with a more efficient implementation.
-        """
+        Subclasses can override this method with a more efficient implementation."""
         return self.from_checkpoint(self.checkpoint())
 
     def checkpoint(self) -> Checkpoint | Any:
         """Return a serializable representation of the channel's current state.
-
         Raises `EmptyChannelError` if the channel is empty (never updated yet),
-        or doesn't support checkpoints.
-        """
+        or doesn't support checkpoints."""
         try:
             return self.get()
         except EmptyChannelError:
@@ -60,9 +55,7 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
     @abstractmethod
     def from_checkpoint(self, checkpoint: Checkpoint | Any) -> Self:
         """Return a new identical channel, optionally initialized from a checkpoint.
-
-        If the checkpoint contains complex data structures, they should be copied.
-        """
+        If the checkpoint contains complex data structures, they should be copied."""
 
     # read methods
 
@@ -74,7 +67,6 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
 
     def is_available(self) -> bool:
         """Return `True` if the channel is available (not empty), `False` otherwise.
-
         Subclasses should override this method to provide a more efficient
         implementation than calling `get()` and catching `EmptyChannelError`.
         """
@@ -91,29 +83,21 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
         """Update the channel's value with the given sequence of updates.
         The order of the updates in the sequence is arbitrary.
         This method is called by Pregel for all channels at the end of each step.
-
         If there are no updates, it is called with an empty sequence.
-
         Raises `InvalidUpdateError` if the sequence of updates is invalid.
-
         Returns `True` if the channel was updated, `False` otherwise."""
 
     def consume(self) -> bool:
-        """Notify the channel that a subscribed task ran.
-
-        By default, no-op.
-
-        A channel can use this method to modify its state, preventing the value from being consumed again.
+        """Notify the channel that a subscribed task ran. By default, no-op.
+        A channel can use this method to modify its state, preventing the value
+        from being consumed again.
 
         Returns `True` if the channel was updated, `False` otherwise.
         """
         return False
 
     def finish(self) -> bool:
-        """Notify the channel that the Pregel run is finishing.
-
-        By default, no-op.
-
+        """Notify the channel that the Pregel run is finishing. By default, no-op.
         A channel can use this method to modify its state, preventing finish.
 
         Returns `True` if the channel was updated, `False` otherwise.

libs/langgraph/langgraph/config.py

@@ -32,8 +32,8 @@ def get_config() -> RunnableConfig:
 def get_store() -> BaseStore:
     """Access LangGraph store from inside a graph node or entrypoint task at runtime.
 
-    Can be called from inside any [`StateGraph`][langgraph.graph.StateGraph] node or
-    functional API [`task`][langgraph.func.task], as long as the `StateGraph` or the [`entrypoint`][langgraph.func.entrypoint]
+    Can be called from inside any [StateGraph][langgraph.graph.StateGraph] node or
+    functional API [task][langgraph.func.task], as long as the StateGraph or the [entrypoint][langgraph.func.entrypoint]
     was initialized with a store, e.g.:
 
     ```python
@@ -53,10 +53,10 @@ def get_store() -> BaseStore:
     !!! warning "Async with Python < 3.11"
 
         If you are using Python < 3.11 and are running LangGraph asynchronously,
-        `get_store()` won't work since it uses [`contextvar`](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
+        `get_store()` won't work since it uses [contextvar](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
 
 
-    Example: Using with `StateGraph`
+    Example: Using with StateGraph
         ```python
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph, START
@@ -124,17 +124,17 @@ def get_store() -> BaseStore:
 
 
 def get_stream_writer() -> StreamWriter:
-    """Access LangGraph [`StreamWriter`][langgraph.types.StreamWriter] from inside a graph node or entrypoint task at runtime.
+    """Access LangGraph [StreamWriter][langgraph.types.StreamWriter] from inside a graph node or entrypoint task at runtime.
 
-    Can be called from inside any [`StateGraph`][langgraph.graph.StateGraph] node or
-    functional API [`task`][langgraph.func.task].
+    Can be called from inside any [StateGraph][langgraph.graph.StateGraph] node or
+    functional API [task][langgraph.func.task].
 
     !!! warning "Async with Python < 3.11"
 
         If you are using Python < 3.11 and are running LangGraph asynchronously,
-        `get_stream_writer()` won't work since it uses [`contextvar`](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
+        `get_stream_writer()` won't work since it uses [contextvar](https://docs.python.org/3/library/contextvars.html) propagation (only available in [Python >= 3.11](https://docs.python.org/3/library/asyncio-task.html#asyncio.create_task)).
 
-    Example: Using with `StateGraph`
+    Example: Using with StateGraph
         ```python
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph, START

libs/langgraph/langgraph/func/__init__.py

@@ -357,7 +357,7 @@ class entrypoint(Generic[ContextT]):
         my_workflow.invoke("hello", config)
         ```
 
-    Example: Using `entrypoint.final` to save a value
+    Example: Using entrypoint.final to save a value
         The `entrypoint.final` object allows you to return a value while saving
         a different value to the checkpoint. This value will be accessible
         in the next invocation of the entrypoint via the `previous` parameter, as

libs/langgraph/langgraph/graph/message.py

@@ -88,8 +88,8 @@ def add_messages(
         If a message in `right` has the same ID as a message in `left`, the
             message from `right` will replace the message from `left`.
 
-    Example: Basic usage
-        ```python
+    Example:
+        ```python title="Basic usage"
         from langchain_core.messages import AIMessage, HumanMessage
 
         msgs1 = [HumanMessage(content="Hello", id="1")]
@@ -98,16 +98,14 @@ def add_messages(
         # [HumanMessage(content='Hello', id='1'), AIMessage(content='Hi there!', id='2')]
         ```
 
-    Example: Overwrite existing message
-        ```python
+        ```python title="Overwrite existing message"
         msgs1 = [HumanMessage(content="Hello", id="1")]
         msgs2 = [HumanMessage(content="Hello again", id="1")]
         add_messages(msgs1, msgs2)
         # [HumanMessage(content='Hello again', id='1')]
         ```
 
-    Example: Use in a StateGraph
-        ```python
+        ```python title="Use in a StateGraph"
         from typing import Annotated
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph
@@ -126,8 +124,7 @@ def add_messages(
         # {'messages': [AIMessage(content='Hello', id=...)]}
         ```
 
-    Example: Use OpenAI message format
-        ```python
+        ```python title="Use OpenAI message format"
         from typing import Annotated
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph, add_messages

libs/langgraph/langgraph/graph/state.py

@@ -127,7 +127,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
     Args:
         state_schema: The schema class that defines the state.
         context_schema: The schema class that defines the runtime context.
-
             Use this to expose immutable context data to your nodes, like `user_id`, `db_conn`, etc.
         input_schema: The schema class that defines the input to the graph.
         output_schema: The schema class that defines the output from the graph.
@@ -372,23 +371,18 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
         Args:
             node: The function or runnable this node will run.
-
                 If a string is provided, it will be used as the node name, and action will be used as the function or runnable.
             action: The action associated with the node.
                 Will be used as the node function or runnable if `node` is a string (node name).
             defer: Whether to defer the execution of the node until the run is about to end.
             metadata: The metadata associated with the node.
-            input_schema: The input schema for the node. (Default: the graph's state schema)
+            input_schema: The input schema for the node. (default: the graph's state schema)
             retry_policy: The retry policy for the node.
-
                 If a sequence is provided, the first matching policy will be applied.
             cache_policy: The cache policy for the node.
             destinations: Destinations that indicate where a node can route to.
-
-                Useful for edgeless graphs with nodes that return `Command` objects.
-
+                This is useful for edgeless graphs with nodes that return `Command` objects.
                 If a `dict` is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
-
                 If a `tuple` is provided, the values will be used as the target node names.
 
                 !!! note
@@ -637,14 +631,11 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         Args:
             source: The starting node. This conditional edge will run when
                 exiting this node.
-            path: The callable that determines the next node or nodes.
-
-                If not specifying `path_map` it should return one or more nodes.
-
-                If it returns `'END'`, the graph will stop execution.
-            path_map: Optional mapping of paths to node names.
-
-                If omitted the paths returned by `path` should be node names.
+            path: The callable that determines the next
+                node or nodes. If not specifying `path_map` it should return one or
+                more nodes. If it returns `'END'`, the graph will stop execution.
+            path_map: Optional mapping of paths to node
+                names. If omitted the paths returned by `path` should be node names.
 
         Returns:
             Self: The instance of the graph, allowing for method chaining.
@@ -685,9 +676,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
         Args:
             nodes: A sequence of `StateNode` (callables that accept a `state` arg) or `(name, StateNode)` tuples.
-
                 If no names are provided, the name will be inferred from the node object (e.g. a `Runnable` or a `Callable` name).
-
                 Each node will be executed in the order provided.
 
         Raises:
@@ -744,14 +733,11 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         """Sets a conditional entry point in the graph.
 
         Args:
-            path: The callable that determines the next node or nodes.
-
-                If not specifying `path_map` it should return one or more nodes.
-
-                If it returns END, the graph will stop execution.
-            path_map: Optional mapping of paths to node names.
-
-                If omitted the paths returned by `path` should be node names.
+            path: The callable that determines the next
+                node or nodes. If not specifying `path_map` it should return one or
+                more nodes. If it returns END, the graph will stop execution.
+            path_map: Optional mapping of paths to node
+                names. If omitted the paths returned by `path` should be node names.
 
         Returns:
             Self: The instance of the graph, allowing for method chaining.
@@ -838,12 +824,9 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
         Args:
             checkpointer: A checkpoint saver object or flag.
-
                 If provided, this `Checkpointer` serves as a fully versioned "short-term memory" for the graph,
                 allowing it to be paused, resumed, and replayed from any point.
-
                 If `None`, it may inherit the parent graph's checkpointer when used as a subgraph.
-
                 If `False`, it will not use or inherit any checkpointer.
             interrupt_before: An optional list of node names to interrupt before.
             interrupt_after: An optional list of node names to interrupt after.

libs/langgraph/langgraph/pregel/_loop.py

@@ -766,7 +766,6 @@ class PregelLoop:
             ]
             self.checkpoint["channel_values"][TASKS] = sanitized_tasks
         # bail if no checkpointer
-
         if do_checkpoint and self._checkpointer_put_after_previous is not None:
             self.prev_checkpoint_config = (
                 self.checkpoint_config
@@ -936,15 +935,8 @@ class PregelLoop:
                 stream_modes = self.stream.modes if self.stream else []
                 if "updates" in stream_modes:
                     self._emit("updates", lambda: iter(interrupts))
-                if "values" in stream_modes:
-                    current_values = read_channels(self.channels, self.output_keys)
-                    # self.output_keys is a sequence, stream chunk contains entire state and interrupts
-                    if isinstance(current_values, dict):
-                        current_values[INTERRUPT] = interrupts[0][INTERRUPT]
-                        self._emit("values", lambda: iter([current_values]))
-                    # self.output_keys is a string, stream chunk contains only interrupts
-                    else:
-                        self._emit("values", lambda: iter(interrupts))
+                elif "values" in stream_modes:
+                    self._emit("values", lambda: iter(interrupts))
             elif writes[0][0] != ERROR:
                 self._emit(
                     "updates",

libs/langgraph/langgraph/pregel/main.py

@@ -210,10 +210,8 @@ class NodeBuilder:
         *channels: str,
         read: bool = True,
     ) -> Self:
-        """Add channels to subscribe to.
-
-        Node will be invoked when any of these channels are updated, with a dict of the
-        channel values as input.
+        """Add channels to subscribe to. Node will be invoked when any of these
+        channels are updated, with a dict of the channel values as input.
 
         Args:
             channels: Channel name(s) to subscribe to
@@ -272,8 +270,8 @@ class NodeBuilder:
         """Add channel writes.
 
         Args:
-            *channels: Channel names to write to.
-            **kwargs: Channel name and value mappings.
+            *channels: Channel names to write to
+            **kwargs: Channel name and value mappings
 
         Returns:
             Self for chaining
@@ -377,12 +375,12 @@ class Pregel(
     ### Advanced channels: Context and BinaryOperatorAggregate
 
     - `Context`: exposes the value of a context manager, managing its lifecycle.
-        Useful for accessing external resources that require setup and/or teardown. e.g.
-        `client = Context(httpx.Client)`
+      Useful for accessing external resources that require setup and/or teardown. eg.
+      `client = Context(httpx.Client)`
     - `BinaryOperatorAggregate`: stores a persistent value, updated by applying
-        a binary operator to the current value and each update
-        sent to the channel, useful for computing aggregates over multiple steps. e.g.
-        `total = BinaryOperatorAggregate(int, operator.add)`
+       a binary operator to the current value and each update
+       sent to the channel, useful for computing aggregates over multiple steps. eg.
+      `total = BinaryOperatorAggregate(int, operator.add)`
 
     ## Examples
 
@@ -497,7 +495,7 @@ class Pregel(
         {"c": ["foofoo", "foofoofoofoo"]}
         ```
 
-    Example: Using a `BinaryOperatorAggregate` channel
+    Example: Using a BinaryOperatorAggregate channel
         ```python
         from langgraph.channels import EphemeralValue, BinaryOperatorAggregate
         from langgraph.pregel import Pregel, NodeBuilder
@@ -543,9 +541,8 @@ class Pregel(
 
     Example: Introducing a cycle
         This example demonstrates how to introduce a cycle in the graph, by having
-        a chain write to a channel it subscribes to.
-
-        Execution will continue until a `None` value is written to the channel.
+        a chain write to a channel it subscribes to. Execution will continue
+        until a None value is written to the channel.
 
         ```python
         from langgraph.channels import EphemeralValue
@@ -1429,8 +1426,7 @@ class Pregel(
         Args:
             config: The config to apply the updates to.
             supersteps: A list of supersteps, each including a list of updates to apply sequentially to a graph state.
-
-                Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
+                        Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
 
         Raises:
             ValueError: If no checkpointer is set or no updates are provided.
@@ -1873,8 +1869,7 @@ class Pregel(
         Args:
             config: The config to apply the updates to.
             supersteps: A list of supersteps, each including a list of updates to apply sequentially to a graph state.
-
-                Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
+                        Each update is a tuple of the form `(values, as_node, task_id)` where `task_id` is optional.
 
         Raises:
             ValueError: If no checkpointer is set or no updates are provided.
@@ -2425,7 +2420,6 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The mode to stream output, defaults to `self.stream_mode`.
-
                 Options are:
 
                 - `"values"`: Emit all values in the state after each step, including interrupts.
@@ -2434,7 +2428,7 @@ class Pregel(
                     If multiple updates are made in the same step (e.g. multiple nodes are run) then those updates are emitted separately.
                 - `"custom"`: Emit custom data from inside nodes or tasks using `StreamWriter`.
                 - `"messages"`: Emit LLM messages token-by-token together with metadata for any LLM invocations inside nodes or tasks.
-                    - Will be emitted as 2-tuples `(LLM token, metadata)`.
+                    Will be emitted as 2-tuples `(LLM token, metadata)`.
                 - `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
                 - `"tasks"`: Emit events when tasks start and finish, including their results and errors.
                 - `"debug"`: Emit debug events with as much information as possible for each step.
@@ -2443,21 +2437,17 @@ class Pregel(
                 The streamed outputs will be tuples of `(mode, data)`.
 
                 See [LangGraph streaming guide](https://docs.langchain.com/oss/python/langgraph/streaming) for more details.
-            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes.
-
-                Does not affect the output of the graph in any way.
+            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: The keys to stream, defaults to all non-context channels.
             interrupt_before: Nodes to interrupt before, defaults to all nodes in the graph.
             interrupt_after: Nodes to interrupt after, defaults to all nodes in the graph.
             durability: The durability mode for the graph execution, defaults to `"async"`.
-
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
-            subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
-
+            subgraphs: Whether to stream events from inside subgraphs, defaults to False.
                 If `True`, the events will be emitted as tuples `(namespace, data)`,
                 or `(namespace, mode, data)` if `stream_mode` is a list,
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
@@ -2699,7 +2689,6 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The mode to stream output, defaults to `self.stream_mode`.
-
                 Options are:
 
                 - `"values"`: Emit all values in the state after each step, including interrupts.
@@ -2708,7 +2697,7 @@ class Pregel(
                     If multiple updates are made in the same step (e.g. multiple nodes are run) then those updates are emitted separately.
                 - `"custom"`: Emit custom data from inside nodes or tasks using `StreamWriter`.
                 - `"messages"`: Emit LLM messages token-by-token together with metadata for any LLM invocations inside nodes or tasks.
-                    - Will be emitted as 2-tuples `(LLM token, metadata)`.
+                    Will be emitted as 2-tuples `(LLM token, metadata)`.
                 - `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
                 - `"tasks"`: Emit events when tasks start and finish, including their results and errors.
                 - `"debug"`: Emit debug events with as much information as possible for each step.
@@ -2717,21 +2706,17 @@ class Pregel(
                 The streamed outputs will be tuples of `(mode, data)`.
 
                 See [LangGraph streaming guide](https://docs.langchain.com/oss/python/langgraph/streaming) for more details.
-            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes.
-
-                Does not affect the output of the graph in any way.
+            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: The keys to stream, defaults to all non-context channels.
             interrupt_before: Nodes to interrupt before, defaults to all nodes in the graph.
             interrupt_after: Nodes to interrupt after, defaults to all nodes in the graph.
             durability: The durability mode for the graph execution, defaults to `"async"`.
-
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
-            subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
-
+            subgraphs: Whether to stream events from inside subgraphs, defaults to False.
                 If `True`, the events will be emitted as tuples `(namespace, data)`,
                 or `(namespace, mode, data)` if `stream_mode` is a list,
                 where `namespace` is a tuple with the path to the node where a subgraph is invoked,
@@ -3040,14 +3025,11 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The stream mode for the graph run.
-            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes.
-
-                Does not affect the output of the graph in any way.
+            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: The output keys to retrieve from the graph run.
             interrupt_before: The nodes to interrupt the graph run before.
             interrupt_after: The nodes to interrupt the graph run after.
             durability: The durability mode for the graph execution, defaults to `"async"`.
-
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
@@ -3130,14 +3112,11 @@ class Pregel(
             context: The static context to use for the run.
                 !!! version-added "Added in version 0.6.0"
             stream_mode: The stream mode for the graph run.
-            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes.
-
-                Does not affect the output of the graph in any way.
+            print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
             output_keys: The output keys to retrieve from the graph run.
             interrupt_before: The nodes to interrupt the graph run before.
             interrupt_after: The nodes to interrupt the graph run after.
             durability: The durability mode for the graph execution, defaults to `"async"`.
-
                 Options are:
 
                 - `"sync"`: Changes are persisted synchronously before the next step starts.

libs/langgraph/langgraph/pregel/remote.py

@@ -725,10 +725,9 @@ class RemoteGraph(PregelProtocol):
             input = None
         else:
             command = None
-        thread_id = sanitized_config.get("configurable", {}).pop("thread_id", None)
 
         for chunk in sync_client.runs.stream(
-            thread_id=thread_id,
+            thread_id=sanitized_config["configurable"].get("thread_id"),
             assistant_id=self.assistant_id,
             input=input,
             command=command,
@@ -835,10 +834,9 @@ class RemoteGraph(PregelProtocol):
             input = None
         else:
             command = None
-        thread_id = sanitized_config.get("configurable", {}).pop("thread_id", None)
 
         async for chunk in client.runs.stream(
-            thread_id=thread_id,
+            thread_id=sanitized_config["configurable"].get("thread_id"),
             assistant_id=self.assistant_id,
             input=input,
             command=command,

libs/langgraph/tests/test_pregel.py

@@ -8422,55 +8422,23 @@ def test_null_resume_disallowed_with_multiple_interrupts(
     }
 
 
-def test_interrupt_stream_mode_values(sync_checkpointer: BaseCheckpointSaver):
-    """Test that interrupts are surfaced on 'values' stream mode"""
+def test_interrupt_stream_mode_values():
+    """Test that interrupts are surfaced when steam_mode='values'"""
 
     class State(TypedDict):
-        robot_input: str
         human_input: str
 
-    def robot_input_node(state: State) -> State:
-        return {"robot_input": "beep boop i am a robot"}
-
     def human_input_node(state: State) -> Command:
         human_input = interrupt("interrupt")
         return Command(update={"human_input": human_input})
 
     builder = StateGraph(State)
-    builder.add_node(robot_input_node)
     builder.add_node(human_input_node)
-    builder.add_edge(START, "robot_input_node")
-    builder.add_edge("robot_input_node", "human_input_node")
-    app = builder.compile(checkpointer=sync_checkpointer)
-    config = {"configurable": {"thread_id": str(uuid.uuid4())}}
+    builder.add_edge(START, "human_input_node")
+    app = builder.compile()
 
-    result = [*app.stream(State(), config, stream_mode=["updates", "values"])]
-    assert len(result) == 4
-    assert result == [
-        ("updates", {"robot_input_node": {"robot_input": "beep boop i am a robot"}}),
-        ("values", {"robot_input": "beep boop i am a robot"}),
-        ("updates", {"__interrupt__": (Interrupt(value="interrupt", id=AnyStr()),)}),
-        (
-            "values",
-            {
-                "robot_input": "beep boop i am a robot",
-                "__interrupt__": (Interrupt(value="interrupt", id=AnyStr()),),
-            },
-        ),
-    ]
-    resume_result = [
-        *app.stream(
-            Command(resume="i am a human"), config, stream_mode=["updates", "values"]
-        )
-    ]
-    assert resume_result == [
-        ("values", {"robot_input": "beep boop i am a robot"}),
-        ("updates", {"human_input_node": {"human_input": "i am a human"}}),
-        (
-            "values",
-            {"robot_input": "beep boop i am a robot", "human_input": "i am a human"},
-        ),
-    ]
+    result = [*app.stream(State(), stream_mode="values")]
+    assert "__interrupt__" in result[-1]
 
 
 def test_supersteps_populate_task_results(

libs/langgraph/tests/test_pregel_async.py

@@ -9196,64 +9196,6 @@ async def test_astream_waiter_cleanup_on_cancel(
     assert all(t.done() for t in recorded_tasks)
 
 
-@NEEDS_CONTEXTVARS
-async def test_interrupt_stream_mode_values(async_checkpointer: BaseCheckpointSaver):
-    """Test that interrupts are surfaced on 'values' stream mode"""
-
-    class State(TypedDict):
-        robot_input: str
-        human_input: str
-
-    def robot_input_node(state: State) -> State:
-        return {"robot_input": "beep boop i am a robot"}
-
-    def human_input_node(state: State) -> Command:
-        human_input = interrupt("interrupt")
-        return Command(update={"human_input": human_input})
-
-    builder = StateGraph(State)
-    builder.add_node(robot_input_node)
-    builder.add_node(human_input_node)
-    builder.add_edge(START, "robot_input_node")
-    builder.add_edge("robot_input_node", "human_input_node")
-    app = builder.compile(checkpointer=async_checkpointer)
-    config = {"configurable": {"thread_id": str(uuid.uuid4())}}
-
-    result = [
-        (mode, e)
-        async for mode, e in app.astream(
-            State(), config, stream_mode=["updates", "values"]
-        )
-    ]
-    assert len(result) == 4
-    assert result == [
-        ("updates", {"robot_input_node": {"robot_input": "beep boop i am a robot"}}),
-        ("values", {"robot_input": "beep boop i am a robot"}),
-        ("updates", {"__interrupt__": (Interrupt(value="interrupt", id=AnyStr()),)}),
-        (
-            "values",
-            {
-                "robot_input": "beep boop i am a robot",
-                "__interrupt__": (Interrupt(value="interrupt", id=AnyStr()),),
-            },
-        ),
-    ]
-    resume_result = [
-        (mode, e)
-        async for mode, e in app.astream(
-            Command(resume="i am a human"), config, stream_mode=["updates", "values"]
-        )
-    ]
-    assert resume_result == [
-        ("values", {"robot_input": "beep boop i am a robot"}),
-        ("updates", {"human_input_node": {"human_input": "i am a human"}}),
-        (
-            "values",
-            {"robot_input": "beep boop i am a robot", "human_input": "i am a human"},
-        ),
-    ]
-
-
 async def test_supersteps_populate_task_results(
     async_checkpointer: BaseCheckpointSaver,
 ) -> None:

libs/langgraph/tests/test_remote_graph.py

@@ -840,46 +840,6 @@ def test_invoke():
     assert result == {"messages": [{"type": "human", "content": "world"}]}
 
 
-def test_invoke_sanitizes_thread_id():
-    # Ensure that invoking with thread_id passes thread_id as a top-level arg
-    # and removes it from the config body.
-    mock_sync_client = MagicMock()
-    mock_sync_client.runs.stream.return_value = []
-    remote_pregel = RemoteGraph("test_graph_id", sync_client=mock_sync_client)
-
-    config = {"configurable": {"thread_id": "thread_1"}}
-    remote_pregel.invoke(
-        {"input": {"messages": [{"type": "human", "content": "hello"}]}}, config
-    )
-
-    assert mock_sync_client.runs.stream.called
-    _, kwargs = mock_sync_client.runs.stream.call_args
-    assert kwargs.get("thread_id") == "thread_1"
-    passed_config = kwargs.get("config") or {}
-    assert "configurable" in passed_config
-    assert "thread_id" not in passed_config["configurable"]
-    assert not passed_config["configurable"]
-
-
-def test_stream_sanitizes_thread_id():
-    # Ensure that streaming with thread_id passes thread_id as a top-level arg
-    # and removes it from the config body.
-    mock_sync_client = MagicMock()
-    mock_sync_client.runs.stream.return_value = []
-    remote_pregel = RemoteGraph("test_graph_id", sync_client=mock_sync_client)
-
-    config = {"configurable": {"thread_id": "thread_2"}}
-    list(remote_pregel.stream({"input": {"messages": []}}, config))
-
-    assert mock_sync_client.runs.stream.called
-    _, kwargs = mock_sync_client.runs.stream.call_args
-    assert kwargs.get("thread_id") == "thread_2"
-    passed_config = kwargs.get("config") or {}
-    assert "configurable" in passed_config
-    assert "thread_id" not in passed_config["configurable"]
-    assert not passed_config["configurable"]
-
-
 @pytest.mark.anyio
 async def test_ainvoke():
     # set up test

libs/langgraph/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.14'",
@@ -1710,7 +1710,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.5"
+version = "1.0.4"
 source = { editable = "../prebuilt" }
 dependencies = [
     { name = "langchain-core" },
@@ -1794,7 +1794,6 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "mypy" },
-    { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },

libs/prebuilt/langgraph/prebuilt/tool_node.py

@@ -142,25 +142,6 @@ class ToolCallRequest:
     state: Any
     runtime: ToolRuntime
 
-    def __setattr__(self, name: str, value: Any) -> None:
-        """Raise deprecation warning when setting attributes directly.
-
-        Direct attribute assignment is deprecated. Use the `override()` method instead.
-        """
-        import warnings
-
-        # Allow setting attributes during initialization
-        if not hasattr(self, "__dataclass_fields__") or not hasattr(self, name):
-            object.__setattr__(self, name, value)
-        else:
-            warnings.warn(
-                f"Setting attribute '{name}' on ToolCallRequest is deprecated. "
-                "Use the override() method instead to create a new instance with modified values.",
-                DeprecationWarning,
-                stacklevel=2,
-            )
-            object.__setattr__(self, name, value)
-
     def override(
         self, **overrides: Unpack[_ToolCallRequestOverrides]
     ) -> ToolCallRequest:
@@ -221,9 +202,8 @@ Examples:
 
     ```python
     def handler(request, execute):
-        modified_call = {**request.tool_call, "args": {**request.tool_call["args"], "value": request.tool_call["args"]["value"] * 2}}
-        modified_request = request.override(tool_call=modified_call)
-        return execute(modified_request)
+        request.tool_call["args"]["value"] *= 2
+        return execute(request)
     ```
 
     Retry on error (execute multiple times):
@@ -499,7 +479,9 @@ def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception],
 
 def _filter_validation_errors(
     validation_error: ValidationError,
-    injected_args: _InjectedArgs | None,
+    tool_to_state_args: dict[str, str | None],
+    tool_to_store_arg: str | None,
+    tool_to_runtime_arg: str | None,
 ) -> list[ErrorDetails]:
     """Filter validation errors to only include LLM-controlled arguments.
 
@@ -514,28 +496,25 @@ def _filter_validation_errors(
 
     Args:
         validation_error: The Pydantic ValidationError raised during tool invocation.
-        injected_args: The _InjectedArgs structure containing all injected arguments,
-            or None if there are no injected arguments.
+        tool_to_state_args: Mapping of state argument names to state field names.
+        tool_to_store_arg: Name of the store argument, if any.
+        tool_to_runtime_arg: Name of the runtime argument, if any.
 
     Returns:
         List of ErrorDetails containing only errors for LLM-controlled arguments,
         with system-injected argument values removed from the input field.
     """
-    # Collect all injected argument names
-    injected_arg_names: set[str] = set()
-    if injected_args:
-        if injected_args.state:
-            injected_arg_names.update(injected_args.state.keys())
-        if injected_args.store:
-            injected_arg_names.add(injected_args.store)
-        if injected_args.runtime:
-            injected_arg_names.add(injected_args.runtime)
+    injected_args = set(tool_to_state_args.keys())
+    if tool_to_store_arg:
+        injected_args.add(tool_to_store_arg)
+    if tool_to_runtime_arg:
+        injected_args.add(tool_to_runtime_arg)
 
     filtered_errors: list[ErrorDetails] = []
     for error in validation_error.errors():
         # Check if error location contains any injected argument
         # error['loc'] is a tuple like ('field_name',) or ('field_name', 'nested_field')
-        if error["loc"] and error["loc"][0] not in injected_arg_names:
+        if error["loc"] and error["loc"][0] not in injected_args:
             # Create a copy of the error dict to avoid mutating the original
             error_copy: dict[str, Any] = {**error}
 
@@ -543,7 +522,7 @@ def _filter_validation_errors(
             if isinstance(error_copy.get("input"), dict):
                 input_dict = error_copy["input"]
                 input_copy = {
-                    k: v for k, v in input_dict.items() if k not in injected_arg_names
+                    k: v for k, v in input_dict.items() if k not in injected_args
                 }
                 error_copy["input"] = input_copy
 
@@ -553,60 +532,6 @@ def _filter_validation_errors(
     return filtered_errors
 
 
-@dataclass
-class _InjectedArgs:
-    """Internal structure for tracking injected arguments for a tool.
-
-    This data structure is built once during ToolNode initialization by analyzing
-    the tool's signature and args schema, then reused during execution for efficient
-    injection without repeated reflection.
-
-    The structure maps from tool parameter names to their injection sources, enabling
-    the ToolNode to know exactly which arguments need to be injected and where to
-    get their values from.
-
-    Attributes:
-        state: Mapping from tool parameter names to state field names for injection.
-            Keys are tool parameter names, values are either:
-            - str: Name of the state field to extract and inject
-            - None: Inject the entire state object
-            Empty dict if no state injection is needed.
-        store: Name of the tool parameter where the store should be injected,
-            or None if no store injection is needed.
-        runtime: Name of the tool parameter where the runtime should be injected,
-            or None if no runtime injection is needed.
-
-    Example:
-        For a tool with signature:
-        ```python
-        def my_tool(
-            x: int,
-            messages: Annotated[list, InjectedState("messages")],
-            full_state: Annotated[dict, InjectedState()],
-            store: Annotated[BaseStore, InjectedStore()],
-            runtime: ToolRuntime,
-        ) -> str:
-            ...
-        ```
-
-        The resulting `_InjectedArgs` would be:
-        ```python
-        _InjectedArgs(
-            state={
-                "messages": "messages",  # Extract state["messages"]
-                "full_state": None,      # Inject entire state
-            },
-            store="store",               # Inject into "store" parameter
-            runtime="runtime",           # Inject into "runtime" parameter
-        )
-        ```
-    """
-
-    state: dict[str, str | None]
-    store: str | None
-    runtime: str | None
-
-
 class ToolNode(RunnableCallable):
     """A node for executing tools in LangGraph workflows.
 
@@ -751,7 +676,9 @@ class ToolNode(RunnableCallable):
         """
         super().__init__(self._func, self._afunc, name=name, tags=tags, trace=False)
         self._tools_by_name: dict[str, BaseTool] = {}
-        self._injected_args: dict[str, _InjectedArgs] = {}
+        self._tool_to_state_args: dict[str, dict[str, str | None]] = {}
+        self._tool_to_store_arg: dict[str, str | None] = {}
+        self._tool_to_runtime_arg: dict[str, str | None] = {}
         self._handle_tool_errors = handle_tool_errors
         self._messages_key = messages_key
         self._wrap_tool_call = wrap_tool_call
@@ -762,8 +689,9 @@ class ToolNode(RunnableCallable):
             else:
                 tool_ = tool
             self._tools_by_name[tool_.name] = tool_
-            # Build injected args mapping once during initialization in a single pass
-            self._injected_args[tool_.name] = _get_all_injected_args(tool_)
+            self._tool_to_state_args[tool_.name] = _get_state_args(tool_)
+            self._tool_to_store_arg[tool_.name] = _get_store_arg(tool_)
+            self._tool_to_runtime_arg[tool_.name] = _get_runtime_arg(tool_)
 
     @property
     def tools_by_name(self) -> dict[str, BaseTool]:
@@ -916,8 +844,12 @@ class ToolNode(RunnableCallable):
                 response = tool.invoke(call_args, config)
             except ValidationError as exc:
                 # Filter out errors for injected arguments
-                injected = self._injected_args.get(call["name"])
-                filtered_errors = _filter_validation_errors(exc, injected)
+                filtered_errors = _filter_validation_errors(
+                    exc,
+                    self._tool_to_state_args.get(call["name"], {}),
+                    self._tool_to_store_arg.get(call["name"]),
+                    self._tool_to_runtime_arg.get(call["name"]),
+                )
                 # Use original call["args"] without injected values for error reporting
                 raise ToolInvocationError(
                     call["name"], exc, call["args"], filtered_errors
@@ -1069,8 +1001,12 @@ class ToolNode(RunnableCallable):
                 response = await tool.ainvoke(call_args, config)
             except ValidationError as exc:
                 # Filter out errors for injected arguments
-                injected = self._injected_args.get(call["name"])
-                filtered_errors = _filter_validation_errors(exc, injected)
+                filtered_errors = _filter_validation_errors(
+                    exc,
+                    self._tool_to_state_args.get(call["name"], {}),
+                    self._tool_to_store_arg.get(call["name"]),
+                    self._tool_to_runtime_arg.get(call["name"]),
+                )
                 # Use original call["args"] without injected values for error reporting
                 raise ToolInvocationError(
                     call["name"], exc, call["args"], filtered_errors
@@ -1263,6 +1199,86 @@ class ToolNode(RunnableCallable):
             return input["state"]
         return input
 
+    def _inject_state(
+        self,
+        tool_call: ToolCall,
+        state: list[AnyMessage] | dict[str, Any] | BaseModel,
+    ) -> ToolCall:
+        state_args = self._tool_to_state_args[tool_call["name"]]
+
+        if state_args and isinstance(state, list):
+            required_fields = list(state_args.values())
+            if (
+                len(required_fields) == 1 and required_fields[0] == self._messages_key
+            ) or required_fields[0] is None:
+                state = {self._messages_key: state}
+            else:
+                err_msg = (
+                    f"Invalid input to ToolNode. Tool {tool_call['name']} requires "
+                    f"graph state dict as input."
+                )
+                if any(state_field for state_field in state_args.values()):
+                    required_fields_str = ", ".join(f for f in required_fields if f)
+                    err_msg += f" State should contain fields {required_fields_str}."
+                raise ValueError(err_msg)
+
+        if isinstance(state, dict):
+            tool_state_args = {
+                tool_arg: state[state_field] if state_field else state
+                for tool_arg, state_field in state_args.items()
+            }
+        else:
+            tool_state_args = {
+                tool_arg: getattr(state, state_field) if state_field else state
+                for tool_arg, state_field in state_args.items()
+            }
+
+        tool_call["args"] = {
+            **tool_call["args"],
+            **tool_state_args,
+        }
+        return tool_call
+
+    def _inject_store(self, tool_call: ToolCall, store: BaseStore | None) -> ToolCall:
+        store_arg = self._tool_to_store_arg[tool_call["name"]]
+        if not store_arg:
+            return tool_call
+
+        if store is None:
+            msg = (
+                "Cannot inject store into tools with InjectedStore annotations - "
+                "please compile your graph with a store."
+            )
+            raise ValueError(msg)
+
+        tool_call["args"] = {
+            **tool_call["args"],
+            store_arg: store,
+        }
+        return tool_call
+
+    def _inject_runtime(
+        self, tool_call: ToolCall, tool_runtime: ToolRuntime
+    ) -> ToolCall:
+        """Inject ToolRuntime into tool call arguments.
+
+        Args:
+            tool_call: The tool call to inject runtime into.
+            tool_runtime: The ToolRuntime instance to inject.
+
+        Returns:
+            The tool call with runtime injected if needed.
+        """
+        runtime_arg = self._tool_to_runtime_arg.get(tool_call["name"])
+        if not runtime_arg:
+            return tool_call
+
+        tool_call["args"] = {
+            **tool_call["args"],
+            runtime_arg: tool_runtime,
+        }
+        return tool_call
+
     def _inject_tool_args(
         self,
         tool_call: ToolCall,
@@ -1301,64 +1317,12 @@ class ToolNode(RunnableCallable):
         if tool_call["name"] not in self.tools_by_name:
             return tool_call
 
-        injected = self._injected_args.get(tool_call["name"])
-        if not injected:
-            return tool_call
-
         tool_call_copy: ToolCall = copy(tool_call)
-        injected_args = {}
-
-        # Inject state
-        if injected.state:
-            state = tool_runtime.state
-            # Handle list state by converting to dict
-            if isinstance(state, list):
-                required_fields = list(injected.state.values())
-                if (
-                    len(required_fields) == 1
-                    and required_fields[0] == self._messages_key
-                ) or required_fields[0] is None:
-                    state = {self._messages_key: state}
-                else:
-                    err_msg = (
-                        f"Invalid input to ToolNode. Tool {tool_call['name']} requires "
-                        f"graph state dict as input."
-                    )
-                    if any(state_field for state_field in injected.state.values()):
-                        required_fields_str = ", ".join(f for f in required_fields if f)
-                        err_msg += (
-                            f" State should contain fields {required_fields_str}."
-                        )
-                    raise ValueError(err_msg)
-
-            # Extract state values
-            if isinstance(state, dict):
-                for tool_arg, state_field in injected.state.items():
-                    injected_args[tool_arg] = (
-                        state[state_field] if state_field else state
-                    )
-            else:
-                for tool_arg, state_field in injected.state.items():
-                    injected_args[tool_arg] = (
-                        getattr(state, state_field) if state_field else state
-                    )
-
-        # Inject store
-        if injected.store:
-            if tool_runtime.store is None:
-                msg = (
-                    "Cannot inject store into tools with InjectedStore annotations - "
-                    "please compile your graph with a store."
-                )
-                raise ValueError(msg)
-            injected_args[injected.store] = tool_runtime.store
-
-        # Inject runtime
-        if injected.runtime:
-            injected_args[injected.runtime] = tool_runtime
-
-        tool_call_copy["args"] = {**tool_call_copy["args"], **injected_args}
-        return tool_call_copy
+        tool_call_with_state = self._inject_state(tool_call_copy, tool_runtime.state)
+        tool_call_with_store = self._inject_store(
+            tool_call_with_state, tool_runtime.store
+        )
+        return self._inject_runtime(tool_call_with_store, tool_runtime)
 
     def _validate_tool_command(
         self,
@@ -1751,86 +1715,120 @@ def _is_injection(
     return False
 
 
-def _get_injection_from_type(
-    type_: Any, injection_type: type[InjectedState | InjectedStore | ToolRuntime]
-) -> Any | None:
-    """Extract injection instance from a type annotation.
+def _get_state_args(tool: BaseTool) -> dict[str, str | None]:
+    """Extract state injection mappings from tool annotations.
+
+    This function analyzes a tool's input schema to identify arguments that should
+    be injected with graph state. It processes InjectedState annotations to build
+    a mapping of tool argument names to state field names.
 
     Args:
-        type_: The type annotation to check.
-        injection_type: The injection type to look for.
+        tool: The tool to analyze for state injection requirements.
 
     Returns:
-        The injection instance if found, True if injection marker found without instance, None otherwise.
+        A dictionary mapping tool argument names to state field names. If a field
+        name is None, the entire state should be injected for that argument.
     """
-    type_args = get_args(type_)
-    matches = [arg for arg in type_args if _is_injection(arg, injection_type)]
+    full_schema = tool.get_input_schema()
+    tool_args_to_state_fields: dict = {}
 
-    if len(matches) > 1:
-        msg = (
-            f"A tool argument should not be annotated with {injection_type.__name__} "
-            f"more than once. Found: {matches}"
-        )
-        raise ValueError(msg)
+    for name, type_ in get_all_basemodel_annotations(full_schema).items():
+        injections = [
+            type_arg
+            for type_arg in get_args(type_)
+            if _is_injection(type_arg, InjectedState)
+        ]
+        if len(injections) > 1:
+            msg = (
+                "A tool argument should not be annotated with InjectedState more than "
+                f"once. Received arg {name} with annotations {injections}."
+            )
+            raise ValueError(msg)
+        if len(injections) == 1:
+            injection = injections[0]
+            if isinstance(injection, InjectedState) and injection.field:
+                tool_args_to_state_fields[name] = injection.field
+            else:
+                tool_args_to_state_fields[name] = None
+        else:
+            pass
+    return tool_args_to_state_fields
 
-    if len(matches) == 1:
-        return matches[0]
-    elif _is_injection(type_, injection_type):
-        return True
+
+def _get_store_arg(tool: BaseTool) -> str | None:
+    """Extract store injection argument from tool annotations.
+
+    This function analyzes a tool's input schema to identify the argument that
+    should be injected with the graph store. Only one store argument is supported
+    per tool.
+
+    Args:
+        tool: The tool to analyze for store injection requirements.
+
+    Returns:
+        The name of the argument that should receive the store injection, or None
+        if no store injection is required.
+
+    Raises:
+        ValueError: If a tool argument has multiple InjectedStore annotations.
+    """
+    full_schema = tool.get_input_schema()
+    for name, type_ in get_all_basemodel_annotations(full_schema).items():
+        injections = [
+            type_arg
+            for type_arg in get_args(type_)
+            if _is_injection(type_arg, InjectedStore)
+        ]
+        if len(injections) > 1:
+            msg = (
+                "A tool argument should not be annotated with InjectedStore more than "
+                f"once. Received arg {name} with annotations {injections}."
+            )
+            raise ValueError(msg)
+        if len(injections) == 1:
+            return name
 
     return None
 
 
-def _get_all_injected_args(tool: BaseTool) -> _InjectedArgs:
-    """Extract all injected arguments from tool in a single pass.
+def _get_runtime_arg(tool: BaseTool) -> str | None:
+    """Extract runtime injection argument from tool annotations.
 
-    This function analyzes both the tool's input schema and function signature
-    to identify all arguments that should be injected (state, store, runtime).
+    This function analyzes a tool's input schema to identify the argument that
+    should be injected with the ToolRuntime instance. Only one runtime argument
+    is supported per tool.
 
     Args:
-        tool: The tool to analyze for injection requirements.
+        tool: The tool to analyze for runtime injection requirements.
 
     Returns:
-        _InjectedArgs structure containing all detected injections.
+        The name of the argument that should receive the runtime injection, or None
+        if no runtime injection is required.
+
+    Raises:
+        ValueError: If a tool argument has multiple ToolRuntime annotations.
     """
-    # Get annotations from both schema and function signature
     full_schema = tool.get_input_schema()
-    schema_annotations = get_all_basemodel_annotations(full_schema)
-
-    func = getattr(tool, "func", None) or getattr(tool, "coroutine", None)
-    func_annotations = get_type_hints(func, include_extras=True) if func else {}
-
-    # Combine both annotation sources, preferring schema annotations
-    # In the future, we might want to add more restrictions here...
-    all_annotations = {**func_annotations, **schema_annotations}
-
-    # Track injected args
-    state_args: dict[str, str | None] = {}
-    store_arg: str | None = None
-    runtime_arg: str | None = None
-
-    for name, type_ in all_annotations.items():
-        # Check for runtime (special case: parameter named "runtime")
+    for name, type_ in get_all_basemodel_annotations(full_schema).items():
+        # Check if the parameter name is "runtime" (regardless of type)
         if name == "runtime":
-            runtime_arg = name
+            return name
+        # Check if the type itself is ToolRuntime (direct usage)
+        if _is_injection(type_, ToolRuntime):
+            return name
+        # Check if ToolRuntime is in Annotated args
+        injections = [
+            type_arg
+            for type_arg in get_args(type_)
+            if _is_injection(type_arg, ToolRuntime)
+        ]
+        if len(injections) > 1:
+            msg = (
+                "A tool argument should not be annotated with ToolRuntime more than "
+                f"once. Received arg {name} with annotations {injections}."
+            )
+            raise ValueError(msg)
+        if len(injections) == 1:
+            return name
 
-        # Check for InjectedState
-        if state_inj := _get_injection_from_type(type_, InjectedState):
-            if isinstance(state_inj, InjectedState) and state_inj.field:
-                state_args[name] = state_inj.field
-            else:
-                state_args[name] = None
-
-        # Check for InjectedStore
-        if _get_injection_from_type(type_, InjectedStore):
-            store_arg = name
-
-        # Check for ToolRuntime
-        if _get_injection_from_type(type_, ToolRuntime):
-            runtime_arg = name
-
-    return _InjectedArgs(
-        state=state_args,
-        store=store_arg,
-        runtime=runtime_arg,
-    )
+    return None

libs/prebuilt/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-prebuilt"
-version = "1.0.5"
+version = "1.0.4"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.10"

libs/prebuilt/tests/test_on_tool_call.py

@@ -130,17 +130,11 @@ def test_modify_arguments() -> None:
         execute: Callable[[ToolCallRequest], ToolMessage | Command],
     ) -> ToolMessage | Command:
         """Handler that doubles the input arguments."""
-        # Modify the arguments using override method
-        modified_call = {
-            **request.tool_call,
-            "args": {
-                **request.tool_call["args"],
-                "a": request.tool_call["args"]["a"] * 2,
-                "b": request.tool_call["args"]["b"] * 2,
-            },
-        }
-        modified_request = request.override(tool_call=modified_call)
-        return execute(modified_request)
+        # Modify the arguments
+        request.tool_call["args"]["a"] *= 2
+        request.tool_call["args"]["b"] *= 2
+
+        return execute(request)
 
     tool_node = ToolNode([add], wrap_tool_call=modify_args_handler)
 
@@ -368,17 +362,10 @@ async def test_handler_with_async_execution() -> None:
         execute: Callable[[ToolCallRequest], ToolMessage | Command],
     ) -> ToolMessage | Command:
         """Handler that modifies arguments."""
-        # Add 10 to both arguments using override method
-        modified_call = {
-            **request.tool_call,
-            "args": {
-                **request.tool_call["args"],
-                "a": request.tool_call["args"]["a"] + 10,
-                "b": request.tool_call["args"]["b"] + 10,
-            },
-        }
-        modified_request = request.override(tool_call=modified_call)
-        return execute(modified_request)
+        # Add 10 to both arguments
+        request.tool_call["args"]["a"] += 10
+        request.tool_call["args"]["b"] += 10
+        return execute(request)
 
     tool_node = ToolNode([async_add], wrap_tool_call=modifying_handler)
 
@@ -1318,64 +1305,3 @@ async def test_state_extraction_with_tool_call_with_context_async() -> None:
     assert state_seen[0] == actual_state
     assert "__type" not in state_seen[0]
     assert "tool_call" not in state_seen[0]
-
-
-def test_tool_call_request_is_frozen() -> None:
-    """Test that ToolCallRequest raises deprecation warnings on direct attribute reassignment."""
-    tool_call: ToolCall = {"name": "add", "args": {"a": 1, "b": 2}, "id": "call_1"}
-    state: dict = {"messages": []}
-    runtime = None
-
-    request = ToolCallRequest(
-        tool_call=tool_call, tool=add, state=state, runtime=runtime
-    )  # type: ignore[arg-type]
-
-    # Test that direct attribute reassignment raises DeprecationWarning
-    with pytest.warns(
-        DeprecationWarning,
-        match="Setting attribute 'tool_call' on ToolCallRequest is deprecated",
-    ):
-        request.tool_call = {"name": "other", "args": {}, "id": "call_2"}  # type: ignore[misc]
-
-    with pytest.warns(
-        DeprecationWarning,
-        match="Setting attribute 'tool' on ToolCallRequest is deprecated",
-    ):
-        request.tool = None  # type: ignore[misc]
-
-    with pytest.warns(
-        DeprecationWarning,
-        match="Setting attribute 'state' on ToolCallRequest is deprecated",
-    ):
-        request.state = {}  # type: ignore[misc]
-
-    with pytest.warns(
-        DeprecationWarning,
-        match="Setting attribute 'runtime' on ToolCallRequest is deprecated",
-    ):
-        request.runtime = None  # type: ignore[misc]
-
-    # Test that override method works correctly
-    new_tool_call: ToolCall = {
-        "name": "multiply",
-        "args": {"x": 5, "y": 10},
-        "id": "call_3",
-    }
-
-    # Original request should be unchanged (note: it was modified by the warnings tests above)
-    # So we create a fresh request to test override properly
-    fresh_request = ToolCallRequest(
-        tool_call=tool_call, tool=add, state=state, runtime=runtime
-    )  # type: ignore[arg-type]
-    fresh_new_request = fresh_request.override(tool_call=new_tool_call)
-
-    # Original request should be unchanged
-    assert fresh_request.tool_call == tool_call
-    assert fresh_request.tool_call["name"] == "add"
-
-    # New request should have the updated tool_call
-    assert fresh_new_request.tool_call == new_tool_call
-    assert fresh_new_request.tool_call["name"] == "multiply"
-    assert fresh_new_request.tool == add  # Other fields should remain the same
-    assert fresh_new_request.state == state
-    assert fresh_new_request.runtime is None

libs/prebuilt/tests/test_react_agent.py

@@ -53,6 +53,7 @@ from langgraph.prebuilt.chat_agent_executor import (
 from langgraph.prebuilt.tool_node import (
     InjectedState,
     InjectedStore,
+    _get_state_args,
     _infer_handled_types,
 )
 from tests.any_str import AnyStr
@@ -638,9 +639,8 @@ def test_react_agent_parallel_tool_calls(
     for event in agent.stream(
         {"messages": [("user", query)]}, config, stream_mode="values"
     ):
-        if "__interrupt__" not in event: 
-            if messages := event.get("messages"):
-                message_types.append([m.type for m in messages])
+        if messages := event.get("messages"):
+            message_types.append([m.type for m in messages])
 
     if version == "v1":
         assert message_types == [
@@ -1084,6 +1084,21 @@ async def test_return_direct(version: str) -> None:
     ]
 
 
+def test__get_state_args() -> None:
+    class Schema1(BaseModel):
+        a: Annotated[str, InjectedState]
+
+    class Schema2(Schema1):
+        b: Annotated[int, InjectedState("bar")]
+
+    @dec_tool(args_schema=Schema2)
+    def foo(a: str, b: int) -> float:
+        """return"""
+        return 0.0
+
+    assert _get_state_args(foo) == {"a": None, "b": "bar"}
+
+
 def test_inspect_react() -> None:
     model = FakeToolCallingModel(tool_calls=[])
     agent = create_react_agent(model, [])

libs/prebuilt/tests/test_tool_node.py

@@ -42,7 +42,6 @@ from langgraph.prebuilt import (
 from langgraph.prebuilt.tool_node import (
     TOOL_CALL_ERROR_TEMPLATE,
     ToolInvocationError,
-    ToolRuntime,
     tools_condition,
 )
 
@@ -1611,252 +1610,3 @@ def test_tool_node_stream_writer() -> None:
             },
         ),
     ]
-
-
-def test_tool_call_request_setattr_deprecation_warning():
-    """Test that ToolCallRequest raises a deprecation warning on direct attribute modification."""
-    import warnings
-
-    from langgraph.prebuilt.tool_node import ToolCallRequest
-
-    # Create a mock ToolCall
-    tool_call = {"name": "test", "args": {"a": 1}, "id": "call_1", "type": "tool_call"}
-
-    # Create a ToolCallRequest
-    request = ToolCallRequest(
-        tool_call=tool_call,
-        tool=None,
-        state={"messages": []},
-        runtime=None,
-    )
-
-    # Test 1: Direct attribute assignment should raise deprecation warning but still work
-    with pytest.warns(DeprecationWarning, match="deprecated.*override"):
-        request.tool_call = {"name": "other", "args": {}, "id": "call_2"}
-
-    # Verify the attribute was actually modified
-    assert request.tool_call == {"name": "other", "args": {}, "id": "call_2"}
-
-    # Reset for further tests
-    with warnings.catch_warnings():
-        warnings.simplefilter("ignore")
-        request.tool_call = tool_call
-
-    # Test 2: override method should work without warnings
-    with warnings.catch_warnings(record=True) as w:
-        warnings.simplefilter("always")
-        new_tool_call = {
-            "name": "new_tool",
-            "args": {"b": 2},
-            "id": "call_3",
-            "type": "tool_call",
-        }
-        new_request = request.override(tool_call=new_tool_call)
-
-        # Verify no warning was raised
-        assert len(w) == 0
-
-    # Verify original is unchanged
-    assert request.tool_call == tool_call
-
-    # Verify new request has updated values
-    assert new_request.tool_call == new_tool_call
-
-    # Test 3: Initialization should not trigger warning
-    with warnings.catch_warnings(record=True) as w:
-        warnings.simplefilter("always")
-        ToolCallRequest(
-            tool_call=tool_call,
-            tool=None,
-            state={"messages": []},
-            runtime=None,
-        )
-        # Verify no warning was raised during initialization
-        assert len(w) == 0
-
-
-async def test_tool_node_inject_async_all_types_signature_only() -> None:
-    """Test all injection types without @tool decorator."""
-    store = InMemoryStore()
-    namespace = ("test",)
-    store.put(namespace, "test_key", {"store_data": "from_store"})
-
-    class TestState(TypedDict):
-        messages: list
-        foo: str
-        bar: int
-
-    async def comprehensive_async_tool(
-        x: int,
-        whole_state: Annotated[TestState, InjectedState],
-        foo_field: Annotated[str, InjectedState("foo")],
-        store: Annotated[BaseStore, InjectedStore()],
-        runtime: ToolRuntime,
-    ) -> str:
-        """Async tool that uses all injection types."""
-        bar_from_whole = whole_state["bar"]
-        foo_value = foo_field
-        store_val = store.get(namespace, "test_key").value["store_data"]
-        foo_from_runtime = runtime.state["foo"]
-        tool_call_id = runtime.tool_call_id
-
-        return (
-            f"x={x}, "
-            f"bar_from_whole={bar_from_whole}, "
-            f"foo_field={foo_value}, "
-            f"store={store_val}, "
-            f"foo_from_runtime={foo_from_runtime}, "
-            f"tool_call_id={tool_call_id}"
-        )
-
-    node = ToolNode([comprehensive_async_tool], handle_tool_errors=True)
-    tool_call = {
-        "name": "comprehensive_async_tool",
-        "args": {"x": 42},
-        "id": "test_call_123",
-        "type": "tool_call",
-    }
-    msg = AIMessage("hi?", tool_calls=[tool_call])
-
-    config = _create_config_with_runtime(store=store)
-    result = await node.ainvoke(
-        {"messages": [msg], "foo": "foo_value", "bar": 99}, config=config
-    )
-
-    tool_message = result["messages"][-1]
-    assert tool_message.content == (
-        "x=42, "
-        "bar_from_whole=99, "
-        "foo_field=foo_value, "
-        "store=from_store, "
-        "foo_from_runtime=foo_value, "
-        "tool_call_id=test_call_123"
-    )
-
-
-async def test_tool_node_inject_async_all_types_with_decorator() -> None:
-    """Test all injection types with @tool decorator."""
-    store = InMemoryStore()
-    namespace = ("test",)
-    store.put(namespace, "test_key", {"store_data": "from_store"})
-
-    class TestState(TypedDict):
-        messages: list
-        foo: str
-        bar: int
-
-    @dec_tool
-    async def comprehensive_async_tool(
-        x: int,
-        whole_state: Annotated[TestState, InjectedState],
-        foo_field: Annotated[str, InjectedState("foo")],
-        store: Annotated[BaseStore, InjectedStore()],
-        runtime: ToolRuntime,
-    ) -> str:
-        """Async tool that uses all injection types."""
-        bar_from_whole = whole_state["bar"]
-        foo_value = foo_field
-        store_val = store.get(namespace, "test_key").value["store_data"]
-        foo_from_runtime = runtime.state["foo"]
-        tool_call_id = runtime.tool_call_id
-
-        return (
-            f"x={x}, "
-            f"bar_from_whole={bar_from_whole}, "
-            f"foo_field={foo_value}, "
-            f"store={store_val}, "
-            f"foo_from_runtime={foo_from_runtime}, "
-            f"tool_call_id={tool_call_id}"
-        )
-
-    node = ToolNode([comprehensive_async_tool], handle_tool_errors=True)
-    tool_call = {
-        "name": "comprehensive_async_tool",
-        "args": {"x": 42},
-        "id": "test_call_456",
-        "type": "tool_call",
-    }
-    msg = AIMessage("hi?", tool_calls=[tool_call])
-
-    config = _create_config_with_runtime(store=store)
-    result = await node.ainvoke(
-        {"messages": [msg], "foo": "foo_value", "bar": 99}, config=config
-    )
-
-    tool_message = result["messages"][-1]
-    assert tool_message.content == (
-        "x=42, "
-        "bar_from_whole=99, "
-        "foo_field=foo_value, "
-        "store=from_store, "
-        "foo_from_runtime=foo_value, "
-        "tool_call_id=test_call_456"
-    )
-
-
-async def test_tool_node_inject_async_all_types_with_schema() -> None:
-    """Test all injection types with explicit schema."""
-    store = InMemoryStore()
-    namespace = ("test",)
-    store.put(namespace, "test_key", {"store_data": "from_store"})
-
-    class TestState(TypedDict):
-        messages: list
-        foo: str
-        bar: int
-
-    class ComprehensiveToolSchema(BaseModel):
-        model_config = {"arbitrary_types_allowed": True}
-        x: int
-        whole_state: Annotated[TestState, InjectedState]
-        foo_field: Annotated[str, InjectedState("foo")]
-        store: Annotated[BaseStore, InjectedStore()]
-        runtime: ToolRuntime
-
-    @dec_tool(args_schema=ComprehensiveToolSchema)
-    async def comprehensive_async_tool(
-        x: int,
-        whole_state: Annotated[TestState, InjectedState],
-        foo_field: Annotated[str, InjectedState("foo")],
-        store: Annotated[BaseStore, InjectedStore()],
-        runtime: ToolRuntime,
-    ) -> str:
-        """Async tool that uses all injection types."""
-        bar_from_whole = whole_state["bar"]
-        foo_value = foo_field
-        store_val = store.get(namespace, "test_key").value["store_data"]
-        foo_from_runtime = runtime.state["foo"]
-        tool_call_id = runtime.tool_call_id
-
-        return (
-            f"x={x}, "
-            f"bar_from_whole={bar_from_whole}, "
-            f"foo_field={foo_value}, "
-            f"store={store_val}, "
-            f"foo_from_runtime={foo_from_runtime}, "
-            f"tool_call_id={tool_call_id}"
-        )
-
-    node = ToolNode([comprehensive_async_tool], handle_tool_errors=True)
-    tool_call = {
-        "name": "comprehensive_async_tool",
-        "args": {"x": 42},
-        "id": "test_call_789",
-        "type": "tool_call",
-    }
-    msg = AIMessage("hi?", tool_calls=[tool_call])
-
-    config = _create_config_with_runtime(store=store)
-    result = await node.ainvoke(
-        {"messages": [msg], "foo": "foo_value", "bar": 99}, config=config
-    )
-
-    tool_message = result["messages"][-1]
-    assert tool_message.content == (
-        "x=42, "
-        "bar_from_whole=99, "
-        "foo_field=foo_value, "
-        "store=from_store, "
-        "foo_from_runtime=foo_value, "
-        "tool_call_id=test_call_789"
-    )

libs/prebuilt/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.10"
 
 [[package]]
@@ -467,7 +467,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.5"
+version = "1.0.4"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -570,7 +570,6 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "mypy" },
-    { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },

libs/sdk-py/langgraph_sdk/__init__.py

@@ -1,6 +1,6 @@
 from langgraph_sdk.auth import Auth
 from langgraph_sdk.client import get_client, get_sync_client
 
-__version__ = "0.2.10"
+__version__ = "0.2.9"
 
 __all__ = ["Auth", "get_client", "get_sync_client"]

libs/sdk-py/langgraph_sdk/auth/__init__.py

@@ -90,11 +90,11 @@ class Auth:
     """
 
     __slots__ = (
-        "_authenticate_handler",
-        "_global_handlers",
-        "_handler_cache",
-        "_handlers",
         "on",
+        "_handlers",
+        "_global_handlers",
+        "_authenticate_handler",
+        "_handler_cache",
     )
     types = types
     """Reference to auth type definitions.
@@ -383,7 +383,7 @@ class _ResourceOn(typing.Generic[VCreate, VRead, VUpdate, VDelete, VSearch]):
         if fn is not None:
             _validate_handler(fn)
             return typing.cast(
-                "_ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]",
+                _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch],
                 _register_handler(self.auth, self.resource, "*", fn),
             )
 
@@ -392,7 +392,7 @@ class _ResourceOn(typing.Generic[VCreate, VRead, VUpdate, VDelete, VSearch]):
         ) -> _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]:
             _validate_handler(handler)
             return typing.cast(
-                "_ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch]",
+                _ActionHandler[VCreate | VUpdate | VRead | VDelete | VSearch],
                 _register_handler(self.auth, self.resource, "*", handler),
             )
 
@@ -612,10 +612,10 @@ class _On:
     __slots__ = (
         "_auth",
         "assistants",
-        "crons",
-        "runs",
-        "store",
         "threads",
+        "runs",
+        "crons",
+        "store",
         "value",
     )
 
@@ -740,8 +740,9 @@ def is_studio_user(
 ) -> bool:
     return (
         isinstance(user, types.StudioUser)
-        or (isinstance(user, dict) and user.get("kind") == "StudioUser")  # ty: ignore[invalid-argument-type]
+        or isinstance(user, dict)
+        and user.get("kind") == "StudioUser"  # ty: ignore[invalid-argument-type]
     )
 
 
-__all__ = ["Auth", "exceptions", "types"]
+__all__ = ["Auth", "types", "exceptions"]

libs/sdk-py/langgraph_sdk/auth/types.py

@@ -243,7 +243,7 @@ class StudioUser:
         ```
     """
 
-    __slots__ = ("_is_authenticated", "_permissions", "username")
+    __slots__ = ("username", "_is_authenticated", "_permissions")
 
     def __init__(self, username: str, is_authenticated: bool = False) -> None:
         self.username = username
@@ -1093,22 +1093,22 @@ class on:
 
 
 __all__ = [
-    "AssistantsCreate",
-    "AssistantsDelete",
-    "AssistantsRead",
-    "AssistantsSearch",
-    "AssistantsUpdate",
+    "on",
     "MetadataInput",
     "RunsCreate",
-    "StoreDelete",
+    "ThreadsCreate",
+    "ThreadsRead",
+    "ThreadsUpdate",
+    "ThreadsDelete",
+    "ThreadsSearch",
+    "AssistantsCreate",
+    "AssistantsRead",
+    "AssistantsUpdate",
+    "AssistantsDelete",
+    "AssistantsSearch",
     "StoreGet",
+    "StoreSearch",
     "StoreListNamespaces",
     "StorePut",
-    "StoreSearch",
-    "ThreadsCreate",
-    "ThreadsDelete",
-    "ThreadsRead",
-    "ThreadsSearch",
-    "ThreadsUpdate",
-    "on",
+    "StoreDelete",
 ]

libs/sdk-py/langgraph_sdk/client.py

@@ -21,7 +21,6 @@ from types import TracebackType
 from typing import (
     Any,
     Literal,
-    cast,
     overload,
 )
 
@@ -48,7 +47,6 @@ from langgraph_sdk.schema import (
     Durability,
     GraphSchema,
     IfNotExists,
-    Input,
     Item,
     Json,
     ListNamespaceResponse,
@@ -119,20 +117,9 @@ def _get_headers(
 
 
 def _orjson_default(obj: Any) -> Any:
-    is_class = isinstance(obj, type)
     if hasattr(obj, "model_dump") and callable(obj.model_dump):
-        if is_class:
-            raise TypeError(
-                f"Cannot JSON-serialize type object: {obj!r}. Did you mean to pass an instance of the object instead?"
-                f"\nReceived type: {obj!r}"
-            )
         return obj.model_dump()
     elif hasattr(obj, "dict") and callable(obj.dict):
-        if is_class:
-            raise TypeError(
-                f"Cannot JSON-serialize type object: {obj!r}. Did you mean to pass an instance of the object instead?"
-                f"\nReceived type: {obj!r}"
-            )
         return obj.dict()
     elif isinstance(obj, (set, frozenset)):
         return list(obj)
@@ -176,7 +163,7 @@ def get_client(
     Args:
         url:
             Base URL of the LangGraph API.
-            - If `None`, the client first attempts an in-process connection via ASGI transport.
+            – If `None`, the client first attempts an in-process connection via ASGI transport.
               If that fails, it falls back to `http://localhost:8123`.
         api_key:
             API key for authentication. If omitted, the client reads from environment
@@ -189,9 +176,9 @@ def get_client(
             Additional HTTP headers to include in requests. Merged with authentication headers.
         timeout:
             HTTP timeout configuration. May be:
-              - `httpx.Timeout` instance
-              - float (total seconds)
-              - tuple `(connect, read, write, pool)` in seconds
+              – `httpx.Timeout` instance
+              – float (total seconds)
+              – tuple `(connect, read, write, pool)` in seconds
             Defaults: connect=5, read=300, write=300, pool=5.
 
     Returns:
@@ -249,7 +236,7 @@ def get_client(
         base_url=url,
         transport=transport,
         timeout=(
-            httpx.Timeout(timeout)  # ty: ignore[invalid-argument-type]
+            httpx.Timeout(timeout)
             if timeout is not None
             else httpx.Timeout(connect=5, read=300, write=300, pool=5)
         ),
@@ -524,7 +511,7 @@ class HttpClient:
                 decoder = SSEDecoder()
                 try:
                     async for line in aiter_lines_raw(res):
-                        sse = decoder.decode(line=cast("bytes", line).rstrip(b"\n"))
+                        sse = decoder.decode(line=line.rstrip(b"\n"))
                         if sse is not None:
                             if decoder.last_event_id is not None:
                                 last_event_id = decoder.last_event_id
@@ -638,7 +625,7 @@ class AssistantsClient:
                 'name': 'my_assistant'
             }
             ```
-        """
+        """  # noqa: E501
         return await self.http.get(
             f"/assistants/{assistant_id}", headers=headers, params=params
         )
@@ -692,7 +679,7 @@ class AssistantsClient:
             ```
 
 
-        """
+        """  # noqa: E501
         query_params = {"xray": xray}
         if params:
             query_params.update(params)
@@ -817,7 +804,7 @@ class AssistantsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         return await self.http.get(
             f"/assistants/{assistant_id}/schemas", headers=headers, params=params
         )
@@ -843,7 +830,7 @@ class AssistantsClient:
         Returns:
             Subgraphs: The graph schema for the assistant.
 
-        """
+        """  # noqa: E501
         get_params = {"recurse": recurse}
         if params:
             get_params = {**get_params, **params}
@@ -909,7 +896,7 @@ class AssistantsClient:
                 name="my_name"
             )
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "graph_id": graph_id,
         }
@@ -977,7 +964,7 @@ class AssistantsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {}
         if graph_id:
             payload["graph_id"] = graph_id
@@ -1024,7 +1011,7 @@ class AssistantsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         await self.http.delete(
             f"/assistants/{assistant_id}", headers=headers, params=params
         )
@@ -1034,7 +1021,6 @@ class AssistantsClient:
         *,
         metadata: Json = None,
         graph_id: str | None = None,
-        name: str | None = None,
         limit: int = 10,
         offset: int = 0,
         sort_by: AssistantSortBy | None = None,
@@ -1049,8 +1035,6 @@ class AssistantsClient:
             metadata: Metadata to filter by. Exact match filter for each KV pair.
             graph_id: The ID of the graph to filter by.
                 The graph ID is normally set in your langgraph.json configuration.
-            name: The name of the assistant to filter by.
-                The filtering logic will match assistants where 'name' is a substring (case insensitive) of the assistant name.
             limit: The maximum number of results to return.
             offset: The number of results to skip.
             sort_by: The field to sort by.
@@ -1081,8 +1065,6 @@ class AssistantsClient:
             payload["metadata"] = metadata
         if graph_id:
             payload["graph_id"] = graph_id
-        if name:
-            payload["name"] = name
         if sort_by:
             payload["sort_by"] = sort_by
         if sort_order:
@@ -1155,7 +1137,7 @@ class AssistantsClient:
                 assistant_id="my_assistant_id"
             )
             ```
-        """
+        """  # noqa: E501
 
         payload: dict[str, Any] = {
             "limit": limit,
@@ -1199,7 +1181,7 @@ class AssistantsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
 
         payload: dict[str, Any] = {"version": version}
 
@@ -1267,7 +1249,7 @@ class ThreadsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
 
         return await self.http.get(
             f"/threads/{thread_id}", headers=headers, params=params
@@ -1315,7 +1297,7 @@ class ThreadsClient:
                 if_exists="raise"
             )
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {}
         if thread_id:
             payload["thread_id"] = thread_id
@@ -1383,7 +1365,7 @@ class ThreadsClient:
                 ttl=43_200,
             )
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {"metadata": metadata}
         if ttl is not None:
             if isinstance(ttl, (int, float)):
@@ -1423,7 +1405,7 @@ class ThreadsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         await self.http.delete(f"/threads/{thread_id}", headers=headers, params=params)
 
     async def search(
@@ -1471,7 +1453,7 @@ class ThreadsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "limit": limit,
             "offset": offset,
@@ -1555,7 +1537,7 @@ class ThreadsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         return await self.http.post(
             f"/threads/{thread_id}/copy", json=None, headers=headers, params=params
         )
@@ -1669,7 +1651,7 @@ class ThreadsClient:
                     }
             }
             ```
-        """
+        """  # noqa: E501
         if checkpoint:
             return await self.http.post(
                 f"/threads/{thread_id}/state/checkpoint",
@@ -1745,7 +1727,7 @@ class ThreadsClient:
                 }
             }
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "values": values,
         }
@@ -1794,7 +1776,7 @@ class ThreadsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "limit": limit,
         }
@@ -1842,7 +1824,7 @@ class ThreadsClient:
                 print(chunk)
             ```
 
-        """
+        """  # noqa: E501
         query_params = {
             "stream_mode": stream_mode,
         }
@@ -1882,7 +1864,7 @@ class RunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -1912,7 +1894,7 @@ class RunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -1938,7 +1920,7 @@ class RunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2037,7 +2019,7 @@ class RunsClient:
             StreamPart(event='end', data=None)
             ```
 
-        """
+        """  # noqa: E501
         if checkpoint_during is not None:
             warnings.warn(
                 "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
@@ -2097,7 +2079,7 @@ class RunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2123,7 +2105,7 @@ class RunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2150,7 +2132,7 @@ class RunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -2283,7 +2265,7 @@ class RunsClient:
                 'multitask_strategy': 'interrupt'
             }
             ```
-        """
+        """  # noqa: E501
         if checkpoint_during is not None:
             warnings.warn(
                 "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
@@ -2352,7 +2334,7 @@ class RunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -2379,7 +2361,7 @@ class RunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -2403,7 +2385,7 @@ class RunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -2511,7 +2493,7 @@ class RunsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         if checkpoint_during is not None:
             warnings.warn(
                 "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
@@ -2603,7 +2585,7 @@ class RunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         query_params: dict[str, Any] = {
             "limit": limit,
             "offset": offset,
@@ -2647,7 +2629,7 @@ class RunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
 
         return await self.http.get(
             f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
@@ -2689,7 +2671,7 @@ class RunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         query_params = {
             "wait": 1 if wait else 0,
             "action": action,
@@ -2740,7 +2722,7 @@ class RunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         return await self.http.request_reconnect(
             f"/threads/{thread_id}/runs/{run_id}/join",
             "GET",
@@ -2789,7 +2771,7 @@ class RunsClient:
                 print(part)
             ```
 
-        """
+        """  # noqa: E501
         query_params = {
             "cancel_on_disconnect": cancel_on_disconnect,
             "stream_mode": stream_mode,
@@ -2836,7 +2818,7 @@ class RunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         await self.http.delete(
             f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
         )
@@ -2876,7 +2858,7 @@ class CronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
@@ -2931,7 +2913,7 @@ class CronClient:
                 multitask_strategy="interrupt"
             )
             ```
-        """
+        """  # noqa: E501
         payload = {
             "schedule": schedule,
             "input": input,
@@ -2959,7 +2941,7 @@ class CronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
@@ -3011,7 +2993,7 @@ class CronClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         payload = {
             "schedule": schedule,
             "input": input,
@@ -3057,7 +3039,7 @@ class CronClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         await self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)
 
     async def search(
@@ -3123,7 +3105,7 @@ class CronClient:
             ]
             ```
 
-        """
+        """  # noqa: E501
         payload = {
             "assistant_id": assistant_id,
             "thread_id": thread_id,
@@ -3515,7 +3497,7 @@ def get_sync_client(
         base_url=url,
         transport=transport,
         timeout=(
-            httpx.Timeout(timeout)  # ty: ignore[invalid-argument-type]
+            httpx.Timeout(timeout)
             if timeout is not None
             else httpx.Timeout(connect=5, read=300, write=300, pool=5)
         ),
@@ -3795,7 +3777,7 @@ class SyncHttpClient:
                 decoder = SSEDecoder()
                 try:
                     for line in iter_lines_raw(res):
-                        sse = decoder.decode(cast(bytes, line).rstrip(b"\n"))
+                        sse = decoder.decode(line.rstrip(b"\n"))
                         if sse is not None:
                             if decoder.last_event_id is not None:
                                 last_event_id = decoder.last_event_id
@@ -3898,7 +3880,7 @@ class SyncAssistantsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         return self.http.get(
             f"/assistants/{assistant_id}", headers=headers, params=params
         )
@@ -3948,7 +3930,7 @@ class SyncAssistantsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         query_params = {"xray": xray}
         if params:
             query_params.update(params)
@@ -4084,7 +4066,7 @@ class SyncAssistantsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         return self.http.get(
             f"/assistants/{assistant_id}/schemas", headers=headers, params=params
         )
@@ -4108,7 +4090,7 @@ class SyncAssistantsClient:
         Returns:
             Subgraphs: The graph schema for the assistant.
 
-        """
+        """  # noqa: E501
         get_params = {"recurse": recurse}
         if params:
             get_params = {**get_params, **params}
@@ -4174,7 +4156,7 @@ class SyncAssistantsClient:
                 name="my_name"
             )
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "graph_id": graph_id,
         }
@@ -4240,7 +4222,7 @@ class SyncAssistantsClient:
                 metadata={"number":2}
             )
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {}
         if graph_id:
             payload["graph_id"] = graph_id
@@ -4287,7 +4269,7 @@ class SyncAssistantsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         self.http.delete(f"/assistants/{assistant_id}", headers=headers, params=params)
 
     def search(
@@ -4295,7 +4277,6 @@ class SyncAssistantsClient:
         *,
         metadata: Json = None,
         graph_id: str | None = None,
-        name: str | None = None,
         limit: int = 10,
         offset: int = 0,
         sort_by: AssistantSortBy | None = None,
@@ -4310,8 +4291,6 @@ class SyncAssistantsClient:
             metadata: Metadata to filter by. Exact match filter for each KV pair.
             graph_id: The ID of the graph to filter by.
                 The graph ID is normally set in your langgraph.json configuration.
-            name: The name of the assistant to filter by.
-                The filtering logic will match assistants where 'name' is a substring (case insensitive) of the assistant name.
             limit: The maximum number of results to return.
             offset: The number of results to skip.
             headers: Optional custom headers to include with the request.
@@ -4339,8 +4318,6 @@ class SyncAssistantsClient:
             payload["metadata"] = metadata
         if graph_id:
             payload["graph_id"] = graph_id
-        if name:
-            payload["name"] = name
         if sort_by:
             payload["sort_by"] = sort_by
         if sort_order:
@@ -4413,7 +4390,7 @@ class SyncAssistantsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
 
         payload: dict[str, Any] = {
             "limit": limit,
@@ -4456,7 +4433,7 @@ class SyncAssistantsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
 
         payload: dict[str, Any] = {"version": version}
 
@@ -4521,7 +4498,7 @@ class SyncThreadsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
 
         return self.http.get(f"/threads/{thread_id}", headers=headers, params=params)
 
@@ -4567,7 +4544,7 @@ class SyncThreadsClient:
             )
             ```
             )
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {}
         if thread_id:
             payload["thread_id"] = thread_id
@@ -4633,7 +4610,7 @@ class SyncThreadsClient:
                 ttl=43_200,
             )
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {"metadata": metadata}
         if ttl is not None:
             if isinstance(ttl, (int, float)):
@@ -4672,7 +4649,7 @@ class SyncThreadsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         self.http.delete(f"/threads/{thread_id}", headers=headers, params=params)
 
     def search(
@@ -4716,7 +4693,7 @@ class SyncThreadsClient:
                 offset=5
             )
             ```
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "limit": limit,
             "offset": offset,
@@ -4797,7 +4774,7 @@ class SyncThreadsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         return self.http.post(
             f"/threads/{thread_id}/copy", json=None, headers=headers, params=params
         )
@@ -4910,7 +4887,7 @@ class SyncThreadsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         if checkpoint:
             return self.http.post(
                 f"/threads/{thread_id}/state/checkpoint",
@@ -4983,7 +4960,7 @@ class SyncThreadsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "values": values,
         }
@@ -5033,7 +5010,7 @@ class SyncThreadsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         payload: dict[str, Any] = {
             "limit": limit,
         }
@@ -5082,7 +5059,7 @@ class SyncThreadsClient:
                 print(chunk)
             ```
 
-        """
+        """  # noqa: E501
         query_params = {
             "stream_mode": stream_mode,
         }
@@ -5122,7 +5099,7 @@ class SyncRunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5151,7 +5128,7 @@ class SyncRunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5178,7 +5155,7 @@ class SyncRunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5274,7 +5251,7 @@ class SyncRunsClient:
             StreamPart(event='values', data={'messages': [{'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'fe0a5778-cfe9-42ee-b807-0adaa1873c10', 'example': False}, {'content': "I'm doing well, thanks for asking! I'm an AI assistant created by Anthropic to be helpful, honest, and harmless.", 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'ai', 'name': None, 'id': 'run-159b782c-b679-4830-83c6-cef87798fe8b', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None}]})
             StreamPart(event='end', data=None)
             ```
-        """
+        """  # noqa: E501
         if checkpoint_during is not None:
             warnings.warn(
                 "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
@@ -5333,7 +5310,7 @@ class SyncRunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5359,7 +5336,7 @@ class SyncRunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5386,7 +5363,7 @@ class SyncRunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         stream_mode: StreamMode | Sequence[StreamMode] = "values",
         stream_subgraphs: bool = False,
@@ -5519,7 +5496,7 @@ class SyncRunsClient:
                 'multitask_strategy': 'interrupt'
             }
             ```
-        """
+        """  # noqa: E501
         if checkpoint_during is not None:
             warnings.warn(
                 "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
@@ -5588,7 +5565,7 @@ class SyncRunsClient:
         thread_id: str,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -5615,7 +5592,7 @@ class SyncRunsClient:
         thread_id: None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -5639,7 +5616,7 @@ class SyncRunsClient:
         thread_id: str | None,
         assistant_id: str,
         *,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         command: Command | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
@@ -5749,7 +5726,7 @@ class SyncRunsClient:
             }
             ```
 
-        """
+        """  # noqa: E501
         if checkpoint_during is not None:
             warnings.warn(
                 "`checkpoint_during` is deprecated and will be removed in a future version. Use `durability` instead.",
@@ -5831,7 +5808,7 @@ class SyncRunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         query_params: dict[str, Any] = {"limit": limit, "offset": offset}
         if status is not None:
             query_params["status"] = status
@@ -5870,7 +5847,7 @@ class SyncRunsClient:
                 run_id="run_id_to_delete",
             )
             ```
-        """
+        """  # noqa: E501
 
         return self.http.get(
             f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
@@ -5912,7 +5889,7 @@ class SyncRunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         query_params = {
             "wait": 1 if wait else 0,
             "action": action,
@@ -5963,7 +5940,7 @@ class SyncRunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         return self.http.request_reconnect(
             f"/threads/{thread_id}/runs/{run_id}/join",
             "GET",
@@ -6011,7 +5988,7 @@ class SyncRunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         query_params = {
             "stream_mode": stream_mode,
             "cancel_on_disconnect": cancel_on_disconnect,
@@ -6058,7 +6035,7 @@ class SyncRunsClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         self.http.delete(
             f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
         )
@@ -6092,7 +6069,7 @@ class SyncCronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
@@ -6144,7 +6121,7 @@ class SyncCronClient:
                 multitask_strategy="interrupt"
             )
             ```
-        """
+        """  # noqa: E501
         payload = {
             "schedule": schedule,
             "input": input,
@@ -6171,7 +6148,7 @@ class SyncCronClient:
         assistant_id: str,
         *,
         schedule: str,
-        input: Input | None = None,
+        input: Mapping[str, Any] | None = None,
         metadata: Mapping[str, Any] | None = None,
         config: Config | None = None,
         context: Context | None = None,
@@ -6223,7 +6200,7 @@ class SyncCronClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         payload = {
             "schedule": schedule,
             "input": input,
@@ -6268,7 +6245,7 @@ class SyncCronClient:
             )
             ```
 
-        """
+        """  # noqa: E501
         self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)
 
     def search(
@@ -6332,7 +6309,7 @@ class SyncCronClient:
                 }
             ]
             ```
-        """
+        """  # noqa: E501
         payload = {
             "assistant_id": assistant_id,
             "thread_id": thread_id,

libs/sdk-py/langgraph_sdk/errors.py

@@ -24,28 +24,19 @@ class APIError(httpx.HTTPStatusError, LangGraphError):
     type: str | None
 
     def __init__(
-        self,
-        message: str,
-        response_or_request: httpx.Response | httpx.Request,
-        *,
-        body: object | None,
+        self, message: str, response: httpx.Response, *, body: object | None
     ) -> None:
-        if isinstance(response_or_request, httpx.Response):
-            req = response_or_request.request
-            response = response_or_request
-        else:
-            req = response_or_request
-            response = None
-
-        httpx.HTTPStatusError.__init__(self, message, request=req, response=response)  # type: ignore[arg-type]
+        httpx.HTTPStatusError.__init__(
+            self, message, request=response.request, response=response
+        )
         LangGraphError.__init__(self)
 
-        self.request = req
+        self.request = response.request
         self.message = message
         self.body = body
 
         if isinstance(body, dict):
-            b = cast("dict[str, Any]", body)
+            b = cast(dict[str, Any], body)
             # Best-effort extraction of common fields if present
             code_val = b.get("code")
             self.code = code_val if isinstance(code_val, str) else None
@@ -97,7 +88,7 @@ class APIConnectionError(APIError):
     def __init__(
         self, *, message: str = "Connection error.", request: httpx.Request
     ) -> None:
-        super().__init__(message, response_or_request=request, body=None)
+        super().__init__(message, request, body=None)
 
 
 class APITimeoutError(APIConnectionError):
@@ -139,7 +130,7 @@ class InternalServerError(APIStatusError):
 
 def _extract_error_message(body: object | None, fallback: str) -> str:
     if isinstance(body, dict):
-        b = cast("dict[str, Any]", body)
+        b = cast(dict[str, Any], body)
         for key in ("message", "detail", "error"):
             val = b.get(key)
             if isinstance(val, str) and val:
@@ -147,7 +138,7 @@ def _extract_error_message(body: object | None, fallback: str) -> str:
         # Sometimes errors are structured like {"error": {"message": "..."}}
         err = b.get("error")
         if isinstance(err, dict):
-            e = cast("dict[str, Any]", err)
+            e = cast(dict[str, Any], err)
             for key in ("message", "detail"):
                 val = e.get(key)
                 if isinstance(val, str) and val:
@@ -205,7 +196,7 @@ def _map_status_error(response: httpx.Response, body: object | None) -> APIStatu
         return UnprocessableEntityError(message, response=response, body=body)
     if status == 429:
         return RateLimitError(message, response=response, body=body)
-    if status >= 500:
+    if 500 <= status:
         return InternalServerError(message, response=response, body=body)
     return APIStatusError(message, response=response, body=body)
 

libs/sdk-py/langgraph_sdk/schema.py

@@ -3,20 +3,15 @@
 from __future__ import annotations
 
 from collections.abc import Mapping, Sequence
-from dataclasses import Field
 from datetime import datetime
 from typing import (
     Any,
-    ClassVar,
     Literal,
     NamedTuple,
-    Protocol,
     TypeAlias,
-    Union,
+    TypedDict,
 )
 
-from typing_extensions import TypedDict
-
 Json = dict[str, Any] | None
 """Represents a JSON-like structure, which can be None or a dictionary with string keys and any values."""
 
@@ -148,6 +143,8 @@ SortOrder = Literal["asc", "desc"]
 The order to sort by.
 """
 
+Context: TypeAlias = dict[str, Any]
+
 
 class Config(TypedDict, total=False):
     """Configuration options for a call."""
@@ -416,7 +413,6 @@ CronSelectField = Literal[
     "next_run_date",
     "metadata",
     "now",
-    "on_run_completed",
 ]
 
 PrimitiveData = str | int | float | bool | None
@@ -562,54 +558,3 @@ class RunCreateMetadata(TypedDict):
 
     thread_id: str | None
     """The ID of the thread."""
-
-
-class _TypedDictLikeV1(Protocol):
-    """Protocol to represent types that behave like TypedDicts
-
-    Version 1: using `ClassVar` for keys."""
-
-    __required_keys__: ClassVar[frozenset[str]]
-    __optional_keys__: ClassVar[frozenset[str]]
-
-
-class _TypedDictLikeV2(Protocol):
-    """Protocol to represent types that behave like TypedDicts
-
-    Version 2: not using `ClassVar` for keys."""
-
-    __required_keys__: frozenset[str]
-    __optional_keys__: frozenset[str]
-
-
-class _DataclassLike(Protocol):
-    """Protocol to represent types that behave like dataclasses.
-
-    Inspired by the private _DataclassT from dataclasses that uses a similar protocol as a bound.
-    """
-
-    __dataclass_fields__: ClassVar[dict[str, Field[Any]]]
-
-
-class _BaseModelLike(Protocol):
-    """Protocol to represent types that behave like Pydantic `BaseModel`."""
-
-    model_config: ClassVar[dict[str, Any]]
-    __pydantic_core_schema__: ClassVar[Any]
-
-    def model_dump(
-        self,
-        **kwargs: Any,
-    ) -> dict[str, Any]: ...
-
-
-_JSONLike: TypeAlias = None | str | int | float | bool
-_JSONMap: TypeAlias = Mapping[
-    str, Union[_JSONLike, list[_JSONLike], "_JSONMap", list["_JSONMap"]]
-]
-
-Input: TypeAlias = (
-    _TypedDictLikeV1 | _TypedDictLikeV2 | _DataclassLike | _BaseModelLike | _JSONMap
-)
-
-Context: TypeAlias = Input

libs/sdk-py/langgraph_sdk/sse.py

@@ -2,9 +2,7 @@
 
 from __future__ import annotations
 
-import contextlib
 from collections.abc import AsyncIterator, Iterator
-from typing import cast
 
 import httpx
 import orjson
@@ -44,7 +42,7 @@ class BytesLineDecoder:
             return []  # pragma: no cover
 
         trailing_newline = text[-1] in NEWLINE_CHARS
-        lines = cast(list[BytesLike], text.splitlines())
+        lines = text.splitlines()
 
         if len(lines) == 1 and not trailing_newline:
             # No new lines, buffer the input and continue.
@@ -55,7 +53,7 @@ class BytesLineDecoder:
             # Include any existing buffer in the first portion of the
             # splitlines result.
             self.buffer.extend(lines[0])
-            lines = cast(list[BytesLike], [self.buffer, *lines[1:]])
+            lines = [self.buffer] + lines[1:]
             self.buffer = bytearray()
 
         if not trailing_newline:
@@ -89,7 +87,7 @@ class SSEDecoder:
         return self._last_event_id or None
 
     def decode(self, line: bytes) -> StreamPart | None:
-        # See: https://html.spec.whatwg.org/multipage/server-sent-events.html#event-stream-interpretation
+        # See: https://html.spec.whatwg.org/multipage/server-sent-events.html#event-stream-interpretation  # noqa: E501
 
         if not line:
             if (
@@ -130,8 +128,10 @@ class SSEDecoder:
             else:
                 self._last_event_id = value.decode()
         elif fieldname == b"retry":
-            with contextlib.suppress(TypeError, ValueError):
+            try:
                 self._retry = int(value)
+            except (TypeError, ValueError):
+                pass
         else:
             pass  # Field is ignored.
 

libs/sdk-py/pyproject.toml

@@ -11,7 +11,10 @@ requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
-dependencies = ["httpx>=0.25.2", "orjson>=3.10.1"]
+dependencies = [
+    "httpx>=0.25.2",
+    "orjson>=3.10.1",
+]
 
 [tool.hatch.version]
 path = "langgraph_sdk/__init__.py"
@@ -24,16 +27,19 @@ Reddit = "https://www.reddit.com/r/LangChain/"
 
 [dependency-groups]
 test = [
-    "pytest",
-    "pytest-asyncio",
-    "pytest-mock",
-    "pytest-watch",
+  "pytest",
+  "pytest-asyncio",
+  "pytest-mock",
+  "pytest-watch",
+]
+lint = [
+  "ruff",
+  "codespell",
+  "mypy",
 ]
-lint = ["ruff", "codespell", "mypy"]
 dev = [
-  { include-group = "test" },
-  { include-group = "lint" },
-  "pydantic>=2.12.4",
+  {include-group = "test"},
+  {include-group = "lint"},
 ]
 
 [tool.hatch.build.targets.wheel]
@@ -47,29 +53,14 @@ asyncio_mode = "auto"
 default-groups = ['dev']
 
 [tool.ruff]
-exclude = ["venv", ".venv", "build", "dist"]
-[tool.ruff.lint]
-select = [
-  "E",      # pycodestyle errors
-  "F",      # pyflakes
-  "I",      # isort (import sorting)
-  "ARG",    # unused arguments
-  "TID251", # banned imports
-  "TID252", # banned relative imports
-  "T20",    # print statements
-  "UP",     # pyupgrade (Python version-specific fixes)
-  "B",      # flake8-bugbear (common bugs)
-  "SIM",    # flake8-simplify (code simplification)
-  "RUF",    # ruff-specific rules
-  "S101",   # flake8-bandit: use of assert
+lint.select = [
+  "E",  # pycodestyle
+  "F",  # Pyflakes
+  "UP", # pyupgrade
+  "B",  # flake8-bugbear
+  "I",  # isort
+  "ARG", # flake8-unused-arguments
+  "UP", # pyupgrade
 ]
-ignore = [
-  "E501",   # line too long (handled by formatter)
-  "B006",   # mutable default arguments (sometimes intentional)
-  "B904",   # raise without from inside except (sometimes intentional)
-  "SIM102", # nested if statements (sometimes clearer)
-]
-per-file-ignores = { "tests/**" = ["S101", "B017"] }
-
-[tool.ty.rules]
-no-matching-overload = "ignore"
+lint.ignore = ["E501", "B008"]
+target-version = "py310"

libs/sdk-py/tests/test_api_parity.py

@@ -71,8 +71,8 @@ def test_sync_api_matches_async(async_cls, sync_cls):
         sync_fn = sync_methods[name]
 
         # Use inspect.signature for parameter names (robust across versions)
-        async_sig = _strip_self(inspect.signature(async_fn))  # type: ignore
-        sync_sig = _strip_self(inspect.signature(sync_fn))  # type: ignore
+        async_sig = _strip_self(inspect.signature(async_fn))
+        sync_sig = _strip_self(inspect.signature(sync_fn))
 
         a_names = list(async_sig.parameters.keys())
         s_names = list(sync_sig.parameters.keys())

libs/sdk-py/tests/test_client_stream.py

@@ -59,7 +59,7 @@ def test_stream_see():
 
         decoder = SSEDecoder()
         for line in iter_lines_raw(groups):
-            sse = decoder.decode(line=line.rstrip(b"\n"))  # type: ignore
+            sse = decoder.decode(line=line.rstrip(b"\n"))
             if sse is not None:
                 parts.append(sse)
         if sse := decoder.decode(b""):
@@ -152,7 +152,7 @@ def test_sync_http_client_stream_recovers_after_disconnect():
     assert parts == [
         StreamPart(event="values", data={"step": 1}),
         StreamPart(event="values", data={"step": 2}),
-        StreamPart(event="end", data=None),  # ty: ignore
+        StreamPart(event="end", data=None),
     ]
 
 

libs/sdk-py/tests/test_errors.py

@@ -65,7 +65,7 @@ def test_raise_for_status_typed_maps_exceptions_and_sets_status_code(
     with pytest.raises(exc_type) as ei:
         _raise_for_status_typed(r)
 
-    err = cast("APIStatusError", ei.value)
+    err = cast(APIStatusError, ei.value)
     assert err.status_code == status
     # response attribute should be present and match
     assert err.response.status_code == status
@@ -77,7 +77,7 @@ def test_request_id_is_extracted_when_present() -> None:
     )
     with pytest.raises(NotFoundError) as ei:
         _raise_for_status_typed(r)
-    err = cast("APIStatusError", ei.value)
+    err = cast(APIStatusError, ei.value)
     # request_id only exists on APIStatusError subclasses
     assert err.request_id == "req-123"
 
@@ -86,7 +86,7 @@ def test_non_json_body_does_not_break_mapping() -> None:
     r = make_response(429, text_body="Too many requests")
     with pytest.raises(RateLimitError) as ei:
         _raise_for_status_typed(r)
-    err = cast("APIStatusError", ei.value)
+    err = cast(APIStatusError, ei.value)
     assert err.status_code == 429
 
 
@@ -102,7 +102,7 @@ def test_field_extraction_from_json_body() -> None:
     )
     with pytest.raises(BadRequestError) as ei:
         _raise_for_status_typed(r)
-    err = cast("APIStatusError", ei.value)
+    err = cast(APIStatusError, ei.value)
     assert err.code == "invalid_param"
     assert err.param == "limit"
     assert err.type == "invalid_request_error"

libs/sdk-py/tests/test_serde.py

@@ -1,62 +0,0 @@
-from typing import Any
-
-import orjson
-import pytest
-from pydantic import BaseModel
-
-from langgraph_sdk.client import _aencode_json
-
-
-async def _serde_roundtrip(data: Any):
-    _, body = await _aencode_json(data)
-    return orjson.loads(body)  # ty: ignore[invalid-argument-type]
-
-
-async def test_serde_basic():
-    # Test basic serialization
-    data = {"key": "value", "number": 42}
-    assert await _serde_roundtrip(data) == data
-
-
-async def test_serde_pydantic():
-    # Test serialization with Pydantic model (if available)
-
-    class TestModel(BaseModel):
-        name: str
-        age: int
-
-    model = TestModel(name="test", age=25)
-    result = await _serde_roundtrip(model)
-    assert result["name"] == "test"
-    assert result["age"] == 25
-
-    nested_result = await _serde_roundtrip({"data": model})
-    assert nested_result["data"]["name"] == "test"
-    assert nested_result["data"]["age"] == 25
-
-
-async def test_serde_dataclass():
-    from dataclasses import dataclass
-
-    @dataclass
-    class TestDataClass:
-        name: str
-        age: int
-
-    data = TestDataClass(name="test", age=25)
-    result = await _serde_roundtrip(data)
-    assert result["name"] == "test"
-    assert result["age"] == 25
-
-    nested_result = await _serde_roundtrip({"data": data})
-    assert nested_result["data"]["name"] == "test"
-    assert nested_result["data"]["age"] == 25
-
-
-async def test_serde_pydantic_cls_fails():
-    # Test that serialization fails gracefully for Pydantic model when not available
-    class TestModel(BaseModel):
-        name: str
-
-    with pytest.raises(TypeError, match="Type is not JSON serializable"):
-        await _serde_roundtrip({"foo": TestModel})

libs/sdk-py/tests/test_serde_schema.py

@@ -1,30 +0,0 @@
-from dataclasses import dataclass
-from typing import runtime_checkable
-
-from pydantic import BaseModel
-
-from langgraph_sdk.schema import (
-    _BaseModelLike,
-    _DataclassLike,
-)
-
-
-def rc(cls: type) -> type:
-    return runtime_checkable(cls)
-
-
-class MyModel(BaseModel):
-    foo: str
-
-
-def test_base_model_like():
-    assert isinstance(MyModel(foo="test"), rc(_BaseModelLike))
-
-
-@dataclass
-class MyDataclass:
-    foo: str
-
-
-def test_dataclass_like():
-    assert isinstance(MyDataclass(foo="test"), rc(_DataclassLike))

libs/sdk-py/uv.lock

@@ -1,16 +1,7 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.10"
 
-[[package]]
-name = "annotated-types"
-version = "0.7.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081, upload-time = "2024-05-20T21:33:25.928Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643, upload-time = "2024-05-20T21:33:24.1Z" },
-]
-
 [[package]]
 name = "anyio"
 version = "4.11.0"
@@ -37,11 +28,11 @@ wheels = [
 
 [[package]]
 name = "certifi"
-version = "2025.11.12"
+version = "2025.8.3"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/a2/8c/58f469717fa48465e4a50c014a0400602d3c437d7c0c468e17ada824da3a/certifi-2025.11.12.tar.gz", hash = "sha256:d8ab5478f2ecd78af242878415affce761ca6bc54a22a27e026d7c25357c3316", size = 160538, upload-time = "2025-11-12T02:54:51.517Z" }
+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/70/7d/9bc192684cea499815ff478dfcdc13835ddf401365057044fb721ec6bddb/certifi-2025.11.12-py3-none-any.whl", hash = "sha256:97de8790030bbd5c2d96b7ec782fc2f7820ef8dba6db909ccf95449f2d062d4b", size = 159438, upload-time = "2025-11-12T02:54:49.735Z" },
+    { 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]]
@@ -70,14 +61,14 @@ sdist = { url = "https://files.pythonhosted.org/packages/a2/55/8f8cab2afd404cf57
 
 [[package]]
 name = "exceptiongroup"
-version = "1.3.1"
+version = "1.3.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/50/79/66800aadf48771f6b62f7eb014e352e5d06856655206165d775e675a02c9/exceptiongroup-1.3.1.tar.gz", hash = "sha256:8b412432c6055b0b7d14c310000ae93352ed6754f70fa8f7c34141f91c4e3219", size = 30371, upload-time = "2025-11-21T23:01:54.787Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/0b/9f/a65090624ecf468cdca03533906e7c69ed7588582240cfe7cc9e770b50eb/exceptiongroup-1.3.0.tar.gz", hash = "sha256:b241f5885f560bc56a59ee63ca4c6a8bfa46ae4ad651af316d4e81817bb9fd88", size = 29749, upload-time = "2025-05-10T17:42:51.123Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/36/f4/c6e662dade71f56cd2f3735141b265c3c79293c109549c1e6933b0651ffc/exceptiongroup-1.3.0-py3-none-any.whl", hash = "sha256:4d111e6e0c13d0644cad6ddaa7ed0261a0b36971f6d23e7ec9b4b9097da78a10", size = 16674, upload-time = "2025-05-10T17:42:49.33Z" },
 ]
 
 [[package]]
@@ -119,20 +110,20 @@ wheels = [
 
 [[package]]
 name = "idna"
-version = "3.11"
+version = "3.10"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f1/70/7703c29685631f5a7590aa73f1f1d3fa9a380e654b86af429e0934a32f7d/idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9", size = 190490, upload-time = "2024-09-15T18:07:39.745Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3", size = 70442, upload-time = "2024-09-15T18:07:37.964Z" },
 ]
 
 [[package]]
 name = "iniconfig"
-version = "2.3.0"
+version = "2.1.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/72/34/14ca021ce8e5dfedc35312d08ba8bf51fdd999c576889fc2c24cb97f4f10/iniconfig-2.3.0.tar.gz", hash = "sha256:c76315c77db068650d49c5b56314774a7804df16fee4402c1f19d6d15d8c4730", size = 20503, upload-time = "2025-10-18T21:55:43.219Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f2/97/ebf4da567aa6827c909642694d71c9fcf53e5b504f2d96afea02718862f3/iniconfig-2.1.0.tar.gz", hash = "sha256:3abbd2e30b36733fee78f9c7f7308f2d0050e88f0087fd25c2645f63c773e1c7", size = 4793, upload-time = "2025-03-19T20:09:59.721Z" }
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+    { url = "https://files.pythonhosted.org/packages/2c/e1/e6716421ea10d38022b952c159d5161ca1193197fb744506875fbb87ea7b/iniconfig-2.1.0-py3-none-any.whl", hash = "sha256:9deba5723312380e77435581c6bf4935c94cbfab9b1ed33ef8d238ea168eb760", size = 6050, upload-time = "2025-03-19T20:10:01.071Z" },
 ]
 
 [[package]]
@@ -147,7 +138,6 @@ dependencies = [
 dev = [
     { name = "codespell" },
     { name = "mypy" },
-    { name = "pydantic" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -176,7 +166,6 @@ requires-dist = [
 dev = [
     { name = "codespell" },
     { name = "mypy" },
-    { name = "pydantic", specifier = ">=2.12.4" },
     { name = "pytest" },
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
@@ -197,7 +186,7 @@ test = [
 
 [[package]]
 name = "mypy"
-version = "1.17.1"
+version = "1.18.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "mypy-extensions" },
@@ -205,39 +194,39 @@ dependencies = [
     { name = "tomli", marker = "python_full_version < '3.11'" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/8e/22/ea637422dedf0bf36f3ef238eab4e455e2a0dcc3082b5cc067615347ab8e/mypy-1.17.1.tar.gz", hash = "sha256:25e01ec741ab5bb3eec8ba9cdb0f769230368a22c959c4937360efb89b7e9f01", size = 3352570, upload-time = "2025-07-31T07:54:19.204Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c0/77/8f0d0001ffad290cef2f7f216f96c814866248a0b92a722365ed54648e7e/mypy-1.18.2.tar.gz", hash = "sha256:06a398102a5f203d7477b2923dda3634c36727fa5c237d8f859ef90c42a9924b", size = 3448846, upload-time = "2025-09-19T00:11:10.519Z" }
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