release(langgraph): v1 working branch (#6093)

Diff viewer for langgraph v1 alpha releases

---------

Co-authored-by: ccurme <chester.curme@gmail.com>
Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>
Co-authored-by: Mason Daugherty <github@mdrxy.com>
Co-authored-by: Mason Daugherty <mason@langchain.dev>

.github/workflows/_test.yml

@@ -17,7 +17,6 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.9"
           - "3.10"
           - "3.11"
           - "3.12"

.github/workflows/_test_langgraph.yml

@@ -12,7 +12,6 @@ jobs:
     strategy:
       matrix:
         python-version:
-          - "3.9"
           - "3.10"
           - "3.11"
           - "3.12"

.github/workflows/_test_release.yml

@@ -16,7 +16,6 @@ permissions:
 
 jobs:
   build:
-    if: github.ref == 'refs/heads/main'
     runs-on: ubuntu-latest
 
     outputs:

.github/workflows/release.yml

@@ -16,7 +16,6 @@ env:
 
 jobs:
   build:
-    if: github.ref == 'refs/heads/main'
     runs-on: ubuntu-latest
 
     outputs:

.github/workflows/uv_lock_ugprade.yml

@@ -22,7 +22,7 @@ jobs:
         uses: astral-sh/setup-uv@v7
         with:
           # use minimum supported Python version
-          python-version: "3.9"
+          python-version: "3.10"
           enable-cache: true
           cache-suffix: "uv-lock-upgrade"
           

docs/docs/concepts/durable_execution.md

@@ -21,12 +21,16 @@ To leverage durable execution in LangGraph, you need to:
 1. Enable [persistence](./persistence.md) in your workflow by specifying a [checkpointer](./persistence.md#checkpointer-libraries) that will save workflow progress.
 2. Specify a [thread identifier](./persistence.md#threads) when executing a workflow. This will track the execution history for a particular instance of the workflow.
 
-:::python 
+:::python
+
 3. Wrap any non-deterministic operations (e.g., random number generation) or operations with side effects (e.g., file writes, API calls) inside @[tasks][task] to ensure that when a workflow is resumed, these operations are not repeated for the particular run, and instead their results are retrieved from the persistence layer. For more information, see [Determinism and Consistent Replay](#determinism-and-consistent-replay).
+
 :::
 
-:::js 
+:::js
+
 3. Wrap any non-deterministic operations (e.g., random number generation) or operations with side effects (e.g., file writes, API calls) inside @[tasks][task] to ensure that when a workflow is resumed, these operations are not repeated for the particular run, and instead their results are retrieved from the persistence layer. For more information, see [Determinism and Consistent Replay](#determinism-and-consistent-replay).
+
 :::
 
 ## Determinism and Consistent Replay
@@ -61,7 +65,7 @@ LangGraph supports three durability modes that allow you to balance performance
 
 A higher durability mode add more overhead to the workflow execution.
 
-!!! version-added "Added in v0.6.0"
+!!! version-added "Added in version 0.6.0"
 
     Use the `durability` parameter instead of `checkpoint_during` (deprecated in v0.6.0) for persistence policy management:
     
@@ -73,14 +77,16 @@ A higher durability mode add more overhead to the workflow execution.
     * `checkpoint_during=True` -> `durability="async"`
     * `checkpoint_during=False` -> `durability="exit"`
 
-
 ### `"exit"`
+
 Changes are persisted only when graph execution completes (either successfully or with an error). This provides the best performance for long-running graphs but means intermediate state is not saved, so you cannot recover from mid-execution failures or interrupt the graph execution.
 
 ### `"async"`
+
 Changes are persisted asynchronously while the next step executes. This provides good performance and durability, but there's a small risk that checkpoints might not be written if the process crashes during execution.
 
 ### `"sync"`
+
 Changes are persisted synchronously before the next step starts. This ensures that every checkpoint is written before continuing execution, providing high durability at the cost of some performance overhead.
 
 You can specify the durability mode when calling any graph execution method:
@@ -310,12 +316,14 @@ Once you have enabled durable execution in your workflow, you can resume executi
 
 - **Pausing and Resuming Workflows:** Use the @[interrupt][interrupt] function to pause a workflow at specific points and the @[Command] primitive to resume it with updated state. See [**Human-in-the-Loop**](./human_in_the_loop.md) for more details.
 - **Recovering from Failures:** Automatically resume workflows from the last successful checkpoint after an exception (e.g., LLM provider outage). This involves executing the workflow with the same thread identifier by providing it with a `None` as the input value (see this [example](../how-tos/use-functional-api.md#resuming-after-an-error) with the functional API).
+
   :::
 
 :::js
 
 - **Pausing and Resuming Workflows:** Use the @[interrupt][interrupt] function to pause a workflow at specific points and the @[Command] primitive to resume it with updated state. See [**Human-in-the-Loop**](./human_in_the_loop.md) for more details.
 - **Recovering from Failures:** Automatically resume workflows from the last successful checkpoint after an exception (e.g., LLM provider outage). This involves executing the workflow with the same thread identifier by providing it with a `null` as the input value (see this [example](../how-tos/use-functional-api.md#resuming-after-an-error) with the functional API).
+
   :::
 
 ## Starting Points for Resuming Workflows
@@ -326,6 +334,7 @@ Once you have enabled durable execution in your workflow, you can resume executi
 - If you're making a subgraph call inside a node, the starting point will be the **parent** node that called the subgraph that was halted.
   Inside the subgraph, the starting point will be the specific [**node**](./low_level.md#nodes) where execution stopped.
 - If you're using the Functional API, the starting point is the beginning of the [**entrypoint**](./functional_api.md#entrypoint) where execution stopped.
+
   :::
 
 :::js
@@ -334,4 +343,5 @@ Once you have enabled durable execution in your workflow, you can resume executi
 - If you're making a subgraph call inside a node, the starting point will be the **parent** node that called the subgraph that was halted.
   Inside the subgraph, the starting point will be the specific [**node**](./low_level.md#nodes) where execution stopped.
 - If you're using the Functional API, the starting point is the beginning of the [**entrypoint**](./functional_api.md#entrypoint) where execution stopped.
+
   :::

libs/langgraph/langgraph/_internal/_config.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 from collections import ChainMap
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
 from os import getenv
 from typing import Any, cast
 
@@ -312,11 +312,22 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
         for k, v in config.items():
             if _is_not_empty(v) and k not in CONFIG_KEYS:
                 empty[CONF][k] = v
+    _empty_metadata = empty["metadata"]
     for key, value in empty[CONF].items():
-        if (
-            not key.startswith("__")
-            and isinstance(value, (str, int, float, bool))
-            and key not in empty["metadata"]
-        ):
-            empty["metadata"][key] = value
+        if _exclude_as_metadata(key, value, _empty_metadata):
+            continue
+        _empty_metadata[key] = value
     return empty
+
+
+_OMIT = ("key", "token", "secret", "password", "auth")
+
+
+def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
+    key_lower = key.casefold()
+    return (
+        key.startswith("__")
+        or not isinstance(value, (str, int, float, bool))
+        or key in metadata
+        or any(substr in key_lower for substr in _OMIT)
+    )

libs/langgraph/langgraph/errors.py

@@ -90,14 +90,11 @@ class GraphInterrupt(GraphBubbleUp):
 
 
 @deprecated(
-    "NodeInterrupt is deprecated. Please use `langgraph.types.interrupt` instead.",
+    "NodeInterrupt is deprecated. Please use [`interrupt`][langgraph.types.interrupt] instead.",
     category=None,
 )
 class NodeInterrupt(GraphInterrupt):
-    """Raised by a node to interrupt execution.
-
-    Deprecated in V1.0.0 in favor of [`interrupt`][langgraph.types.interrupt].
-    """
+    """Raised by a node to interrupt execution."""
 
     def __init__(self, value: Any, id: str | None = None) -> None:
         warn(

libs/langgraph/langgraph/graph/message.py

@@ -243,15 +243,12 @@ def add_messages(
 
 
 @deprecated(
-    "MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
+    "MessageGraph is deprecated in langgraph 1.0.0, to be removed in 2.0.0. Please use StateGraph with a `messages` key instead.",
     category=None,
 )
 class MessageGraph(StateGraph):
     """A StateGraph where every node receives a list of messages as input and returns one or more messages as output.
 
-    !!! warning "Deprecation"
-        MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.
-
     MessageGraph is a subclass of StateGraph whose entire state is a single, append-only* list of messages.
     Each node in a MessageGraph takes a list of messages as input and returns zero or more
     messages as output. The `add_messages` function is used to merge the output messages from each node

libs/langgraph/pyproject.toml

@@ -4,10 +4,10 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "0.6.10"
+version = "1.0.0a4"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -15,7 +15,7 @@ dependencies = [
     "langchain-core>=0.1",
     "langgraph-checkpoint>=2.1.0,<3.0.0",
     "langgraph-sdk>=0.2.2,<0.3.0",
-    "langgraph-prebuilt>=0.6.0,<0.7.0",
+    "langgraph-prebuilt==0.7.0a2",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]
@@ -37,6 +37,7 @@ dev = [
     "jupyter",
     "pytest-xdist[psutil]",
     "pytest-repeat",
+    "langchain-core==1.0.0a1",
     "langgraph-prebuilt",
     "langgraph-checkpoint",
     "langgraph-checkpoint-sqlite",

libs/langgraph/tests/fake_chat.py

@@ -74,17 +74,26 @@ class FakeChatModel(GenericFakeChatModel):
             assert isinstance(content, str)
             content_chunks = cast(list[str], re.split(r"(\s)", content))
 
-            for token in content_chunks:
-                chunk = ChatGenerationChunk(
-                    message=AIMessageChunk(content=token, id=message.id)
-                )
+            for i, token in enumerate(content_chunks):
+                if i == len(content_chunks) - 1:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(
+                            content=token, id=message.id, chunk_position="last"
+                        )
+                    )
+                else:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(content=token, id=message.id)
+                    )
                 if run_manager:
                     run_manager.on_llm_new_token(token, chunk=chunk)
                 yield chunk
         else:
             args = message.__dict__
             args.pop("type")
-            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
+            chunk = ChatGenerationChunk(
+                message=AIMessageChunk(**args, chunk_position="last")
+            )
             if run_manager:
                 run_manager.on_llm_new_token("", chunk=chunk)
             yield chunk
@@ -122,17 +131,27 @@ class FakeChatModel(GenericFakeChatModel):
             assert isinstance(content, str)
             content_chunks = cast(list[str], re.split(r"(\s)", content))
 
-            for token in content_chunks:
-                chunk = ChatGenerationChunk(
-                    message=AIMessageChunk(content=token, id=message.id)
-                )
+            for i, token in enumerate(content_chunks):
+                if i == len(content_chunks) - 1:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(
+                            content=token, id=message.id, chunk_position="last"
+                        )
+                    )
+                else:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(content=token, id=message.id)
+                    )
+
                 if run_manager:
                     run_manager.on_llm_new_token(token, chunk=chunk)
                 yield chunk
         else:
             args = message.__dict__
             args.pop("type")
-            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
+            chunk = ChatGenerationChunk(
+                message=AIMessageChunk(**args, chunk_position="last")
+            )
             if run_manager:
                 await run_manager.on_llm_new_token("", chunk=chunk)
             yield chunk

libs/langgraph/tests/test_large_cases.py

@@ -1387,6 +1387,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                         "type": "tool_call_chunk",
                     }
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 1,
@@ -1446,6 +1447,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                         "type": "tool_call_chunk",
                     },
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 3,
@@ -1494,6 +1496,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
         (
             _AnyIdAIMessageChunk(
                 content="answer",
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 5,

libs/langgraph/tests/test_large_cases_async.py

@@ -1140,6 +1140,7 @@ async def test_prebuilt_tool_chat() -> None:
                         "type": "tool_call_chunk",
                     }
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 1,
@@ -1199,6 +1200,7 @@ async def test_prebuilt_tool_chat() -> None:
                         "type": "tool_call_chunk",
                     },
                 ],
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 3,
@@ -1247,6 +1249,7 @@ async def test_prebuilt_tool_chat() -> None:
         (
             _AnyIdAIMessageChunk(
                 content="answer",
+                chunk_position="last",
             ),
             {
                 "langgraph_step": 5,

libs/langgraph/tests/test_messages_state.py

@@ -20,7 +20,10 @@ from langgraph.graph.message import REMOVE_ALL_MESSAGES, MessagesState, push_mes
 from langgraph.graph.state import StateGraph
 from tests.messages import _AnyIdHumanMessage
 
-_, CORE_MINOR, CORE_PATCH = (int(v) for v in langchain_core.__version__.split("."))
+_, CORE_MINOR, CORE_PATCH = (
+    int("".join(c for c in v if c.isdigit()))
+    for v in langchain_core.__version__.split(".")
+)
 
 
 def test_add_single_message():

libs/langgraph/tests/test_pregel.py

@@ -6601,7 +6601,7 @@ def test_tags_stream_mode_messages() -> None:
         )
     ) == [
         (
-            _AnyIdAIMessageChunk(content="foo"),
+            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
             {
                 "langgraph_step": 1,
                 "langgraph_node": "call_model",

libs/langgraph/tests/test_pregel_async.py

@@ -7548,7 +7548,7 @@ async def test_tags_stream_mode_messages() -> None:
         )
     ] == [
         (
-            _AnyIdAIMessageChunk(content="foo"),
+            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
             {
                 "langgraph_step": 1,
                 "langgraph_node": "call_model",

libs/langgraph/tests/test_utils.py

@@ -17,16 +17,13 @@ import langsmith
 import pytest
 from typing_extensions import NotRequired, Required, TypedDict
 
-from langgraph._internal._config import _is_not_empty
+from langgraph._internal._config import _is_not_empty, ensure_config
 from langgraph._internal._fields import (
     _is_optional_type,
     get_enhanced_type_hints,
     get_field_default,
 )
-from langgraph._internal._runnable import (
-    is_async_callable,
-    is_async_generator,
-)
+from langgraph._internal._runnable import is_async_callable, is_async_generator
 from langgraph.constants import END
 from langgraph.graph import StateGraph
 from langgraph.graph.state import CompiledStateGraph
@@ -301,3 +298,24 @@ def test_is_not_empty() -> None:
     assert not _is_not_empty([])
     assert not _is_not_empty(())
     assert not _is_not_empty({})
+
+
+def test_configurable_metadata():
+    config = {
+        "configurable": {
+            "a-key": "foo",
+            "somesecretval": "bar",
+            "sometoken": "thetoken",
+            "__dontinclude": "bar",
+            "includeme": "hi",
+            "andme": 42,
+            "nested": {"foo": "bar"},
+            "nooverride": -2,
+        },
+        "metadata": {"nooverride": 18},
+    }
+    expected = {"includeme", "andme", "nooverride"}
+    merged = ensure_config(config)
+    metadata = merged["metadata"]
+    assert metadata.keys() == expected
+    assert metadata["nooverride"] == 18

libs/langgraph/uv.lock

@@ -1,11 +1,10 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.14'",
     "python_full_version >= '3.11' and python_full_version < '3.14'",
-    "python_full_version == '3.10.*'",
-    "python_full_version < '3.10'",
+    "python_full_version < '3.11'",
 ]
 
 [[package]]
@@ -164,15 +163,15 @@ wheels = [
 
 [[package]]
 name = "beautifulsoup4"
-version = "4.14.0"
+version = "4.14.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "soupsieve" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/8a/bb/3387a5bf72121e1e2cd9223d20598c2fb599ef63517ff3e6ec526d8c4928/beautifulsoup4-4.14.0.tar.gz", hash = "sha256:e6150e53c8a52fd4f3b9b28839f8f0fb7c7f029d3c953a50b1762b0947c3cf85", size = 625697, upload-time = "2025-09-27T17:22:17.532Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/bd/26/87ed168040d2c9fdf2fda7a137542f2b08bbab00f81983cc5427981315c6/beautifulsoup4-4.14.1.tar.gz", hash = "sha256:0c19f5b801d51cb13bd4c16ec697fa013209a3a88043c8ac3453144faf90b9b4", size = 625818, upload-time = "2025-09-29T09:30:21.157Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/28/4f/3e23dfc8b4951103028d30f29e17aa703a87564abd71bc405964c36326dc/beautifulsoup4-4.14.0-py3-none-any.whl", hash = "sha256:aee96fbccdf2d2a8d1288b2afa51fc76bb60823b7881a50fb1ed5f711d1a7d73", size = 106466, upload-time = "2025-09-27T17:22:16.13Z" },
+    { url = "https://files.pythonhosted.org/packages/4c/f3/06c9eb3c7231caef6ed24a5d11d6d9976557d0db2b575916bdd183fc051e/beautifulsoup4-4.14.1-py3-none-any.whl", hash = "sha256:76684bc3423d8787a09b46ca84a899f00e7aa9ef1c75913c65e4d28392c20907", size = 106525, upload-time = "2025-09-29T09:30:19.953Z" },
 ]
 
 [[package]]
@@ -293,18 +292,6 @@ wheels = [
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     { url = "https://files.pythonhosted.org/packages/bf/41/4c1168c74fac325c0c8156f04b6749c8b6a8f405bbf91413ba088359f60d/cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6", size = 191726, upload-time = "2025-09-08T23:23:41.742Z" },
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libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py

@@ -1,4 +1,5 @@
 import inspect
+import warnings
 from typing import (
     Any,
     Awaitable,
@@ -12,7 +13,6 @@ from typing import (
     cast,
     get_type_hints,
 )
-from warnings import warn
 
 from langchain_core.language_models import (
     BaseChatModel,
@@ -46,19 +46,18 @@ from langgraph.types import Checkpointer, Send
 from langgraph.typing import ContextT
 from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel
-from typing_extensions import Annotated, NotRequired, TypedDict
+from typing_extensions import Annotated, NotRequired, TypedDict, deprecated
 
 from langgraph.prebuilt.tool_node import ToolNode
 
 StructuredResponse = Union[dict, BaseModel]
 StructuredResponseSchema = Union[dict, type[BaseModel]]
-F = TypeVar("F", bound=Callable[..., Any])
 
 
-# We create the AgentState that we will pass around
-# This simply involves a list of messages
-# We want steps to return messages to append to the list
-# So we annotate the messages attribute with `add_messages` reducer
+@deprecated(
+    "AgentState has been moved to `langchain.agents`. Please update your import to `from langchain.agents import AgentState`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class AgentState(TypedDict):
     """The state of the agent."""
 
@@ -67,6 +66,10 @@ class AgentState(TypedDict):
     remaining_steps: NotRequired[RemainingSteps]
 
 
+@deprecated(
+    "AgentStatePydantic has been moved to `langchain.agents`. Please update your import to `from langchain.agents import AgentStatePydantic`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class AgentStatePydantic(BaseModel):
     """The state of the agent."""
 
@@ -75,16 +78,38 @@ class AgentStatePydantic(BaseModel):
     remaining_steps: RemainingSteps = 25
 
 
-class AgentStateWithStructuredResponse(AgentState):
-    """The state of the agent with a structured response."""
+with warnings.catch_warnings():
+    warnings.filterwarnings(
+        "ignore",
+        category=LangGraphDeprecatedSinceV10,
+        message="AgentState has been moved to langchain.agents.*",
+    )
 
-    structured_response: StructuredResponse
+    @deprecated(
+        "AgentStateWithStructuredResponse has been moved to `langchain.agents`. Please update your import to `from langchain.agents import AgentStateWithStructuredResponse`.",
+        category=LangGraphDeprecatedSinceV10,
+    )
+    class AgentStateWithStructuredResponse(AgentState):
+        """The state of the agent with a structured response."""
+
+        structured_response: StructuredResponse
 
 
-class AgentStateWithStructuredResponsePydantic(AgentStatePydantic):
-    """The state of the agent with a structured response."""
+with warnings.catch_warnings():
+    warnings.filterwarnings(
+        "ignore",
+        category=LangGraphDeprecatedSinceV10,
+        message="AgentStatePydantic has been moved to langchain.agents.*",
+    )
 
-    structured_response: StructuredResponse
+    @deprecated(
+        "AgentStateWithStructuredResponsePydantic has been moved to `langchain.agents`. Please update your import to `from langchain.agents import AgentStateWithStructuredResponsePydantic`.",
+        category=LangGraphDeprecatedSinceV10,
+    )
+    class AgentStateWithStructuredResponsePydantic(AgentStatePydantic):
+        """The state of the agent with a structured response."""
+
+        structured_response: StructuredResponse
 
 
 StateSchema = TypeVar("StateSchema", bound=Union[AgentState, AgentStatePydantic])
@@ -245,6 +270,10 @@ def _validate_chat_history(
     raise ValueError(error_message)
 
 
+@deprecated(
+    "create_react_agent has been moved to `langchain.agents`. Please update your import to `from langchain.agents import create_agent`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 def create_react_agent(
     model: Union[
         str,
@@ -473,7 +502,7 @@ def create_react_agent(
     if (
         config_schema := deprecated_kwargs.pop("config_schema", MISSING)
     ) is not MISSING:
-        warn(
+        warnings.warn(
             "`config_schema` is deprecated and will be removed. Please use `context_schema` instead.",
             category=LangGraphDeprecatedSinceV10,
         )

libs/prebuilt/langgraph/prebuilt/interrupt.py

@@ -1,8 +1,13 @@
 from typing import Literal, Optional, Union
 
-from typing_extensions import TypedDict
+from langgraph.warnings import LangGraphDeprecatedSinceV10
+from typing_extensions import TypedDict, deprecated
 
 
+@deprecated(
+    "HumanInterruptConfig has been moved to `langchain.agents.interrupt`. Please update your import to `from langchain.agents.interrupt import HumanInterruptConfig`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class HumanInterruptConfig(TypedDict):
     """Configuration that defines what actions are allowed for a human interrupt.
 
@@ -21,6 +26,10 @@ class HumanInterruptConfig(TypedDict):
     allow_accept: bool
 
 
+@deprecated(
+    "ActionRequest has been moved to `langchain.agents.interrupt`. Please update your import to `from langchain.agents.interrupt import ActionRequest`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class ActionRequest(TypedDict):
     """Represents a request for human action within the graph execution.
 
@@ -35,6 +44,10 @@ class ActionRequest(TypedDict):
     args: dict
 
 
+@deprecated(
+    "HumanInterrupt has been moved to `langchain.agents.interrupt`. Please update your import to `from langchain.agents.interrupt import HumanInterrupt`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class HumanInterrupt(TypedDict):
     """Represents an interrupt triggered by the graph that requires human intervention.
 

libs/prebuilt/langgraph/prebuilt/tool_node.py

@@ -73,8 +73,9 @@ from langgraph.errors import GraphBubbleUp
 from langgraph.graph.message import REMOVE_ALL_MESSAGES
 from langgraph.store.base import BaseStore
 from langgraph.types import Command, Send
+from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel
-from typing_extensions import Annotated, get_args, get_origin
+from typing_extensions import Annotated, deprecated, get_args, get_origin
 
 INVALID_TOOL_NAME_ERROR_TEMPLATE = (
     "Error: {requested_tool} is not a valid tool, try one of [{available_tools}]."
@@ -235,6 +236,10 @@ def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception],
     return (Exception,)
 
 
+@deprecated(
+    "ToolNode has been moved to `langchain.agents.tool_node`. Please update your import to `from langchain.agents.tool_node import ToolNode`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class ToolNode(RunnableCallable):
     """A node that runs the tools called in the last AIMessage.
 
@@ -850,6 +855,10 @@ def tools_condition(
     return "__end__"
 
 
+@deprecated(
+    "InjectedState has been moved to `langchain.agents.tool_node`. Please update your import to `from langchain.agents.tool_node import InjectedState`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class InjectedState(InjectedToolArg):
     """Annotation for injecting graph state into tool arguments.
 
@@ -924,6 +933,10 @@ class InjectedState(InjectedToolArg):
         self.field = field
 
 
+@deprecated(
+    "InjectedStore has been moved to `langchain.agents.tool_node`. Please update your import to `from langchain.agents.tool_node import InjectedStore`.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class InjectedStore(InjectedToolArg):
     """Annotation for injecting persistent store into tool arguments.
 

libs/prebuilt/langgraph/prebuilt/tool_validator.py

@@ -30,9 +30,11 @@ from langchain_core.runnables.config import get_executor_for_config
 from langchain_core.tools import BaseTool, create_schema_from_function
 from langchain_core.utils.pydantic import is_basemodel_subclass
 from langgraph._internal._runnable import RunnableCallable
+from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel, ValidationError
 from pydantic.v1 import BaseModel as BaseModelV1
 from pydantic.v1 import ValidationError as ValidationErrorV1
+from typing_extensions import deprecated
 
 
 def _default_format_error(
@@ -44,6 +46,10 @@ def _default_format_error(
     return f"{repr(error)}\n\nRespond after fixing all validation errors."
 
 
+@deprecated(
+    "ValidationNode is deprecated. Please use `create_agent` from `langchain.agents` with custom tool error handling.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class ValidationNode(RunnableCallable):
     """A node that validates all tools requests from the last AIMessage.
 

libs/prebuilt/pyproject.toml

@@ -4,10 +4,10 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-prebuilt"
-version = "0.6.4"
+version = "0.7.0a2"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -28,6 +28,7 @@ dev = [
     "pytest-mock",
     "pytest-watcher",
     "mypy",
+    "langchain-core",
     "langgraph",
     "langgraph-checkpoint",
     "langgraph-checkpoint-sqlite",

libs/prebuilt/uv.lock

@@ -1,6 +1,6 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"
 
 [[package]]
 name = "aiosqlite"
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@@ -257,7 +246,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "0.6.10"
+version = "1.0.0a4"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -282,6 +271,7 @@ requires-dist = [
 dev = [
     { name = "httpx" },
     { name = "jupyter" },
+    { name = "langchain-core", specifier = "==1.0.0a1" },
     { name = "langgraph-checkpoint", editable = "../checkpoint" },
     { name = "langgraph-checkpoint-postgres", editable = "../checkpoint-postgres" },
     { name = "langgraph-checkpoint-sqlite", editable = "../checkpoint-sqlite" },
@@ -403,7 +393,7 @@ dev = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "0.6.4"
+version = "0.7.0a2"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -413,6 +403,7 @@ dependencies = [
 [package.dev-dependencies]
 dev = [
     { name = "codespell" },
+    { name = "langchain-core" },
     { name = "langgraph" },
     { name = "langgraph-checkpoint" },
     { name = "langgraph-checkpoint-postgres" },
@@ -435,6 +426,7 @@ requires-dist = [
 [package.metadata.requires-dev]
 dev = [
     { name = "codespell" },
+    { name = "langchain-core" },
     { name = "langgraph", editable = "../langgraph" },
     { name = "langgraph-checkpoint", editable = "../checkpoint" },
     { name = "langgraph-checkpoint-postgres", editable = "../checkpoint-postgres" },
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