release: prebuilt 1.0.3 (#6441)

docs/_scripts/notebook_hooks.py

@@ -282,8 +282,8 @@ REDIRECT_MAP = {
     "reference/supervisor.md": "https://reference.langchain.com/python/langgraph/supervisor/",
     "reference/swarm.md": "https://reference.langchain.com/python/langgraph/swarm/",
     "reference/mcp.md": "https://reference.langchain.com/python/langgraph/mcp/",
-    "cloud/reference/sdk/python_sdk_ref.md": "https://reference.langchain.com/python/platform/python_sdk/",
-    "reference/remote_graph.md": "https://reference.langchain.com/python/platform/remote_graph/",
+    "cloud/reference/sdk/python_sdk_ref.md": "https://reference.langchain.com/python/langsmith/deployment/sdk/",
+    "reference/remote_graph.md": "https://reference.langchain.com/python/langsmith/deployment/remote_graph/",
 
     # additional exclude-search entries from mkdocs.yml
     "additional-resources/index.md": "https://docs.langchain.com/oss/python/langchain/overview",

libs/langgraph/langgraph/_internal/_runnable.py

@@ -316,10 +316,7 @@ class RunnableCallable(Runnable):
                 continue
 
             # If the kwarg is accepted by the function, store the key / runtime attribute to inject
-            # Use the actual parameter default from the function signature if available,
-            # otherwise fall back to the default from KWARGS_CONFIG_KEYS
-            param_default = p.default if p.default is not inspect.Parameter.empty else default
-            self.func_accepts[kw] = (runtime_key, param_default)
+            self.func_accepts[kw] = (runtime_key, default)
 
     def __repr__(self) -> str:
         repr_args = {

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.0.2"
+version = "1.0.3"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"

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'",
@@ -1345,7 +1345,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.0.2"
+version = "1.0.3"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },
@@ -1710,7 +1710,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.2"
+version = "1.0.3"
 source = { editable = "../prebuilt" }
 dependencies = [
     { name = "langchain-core" },

libs/prebuilt/langgraph/prebuilt/tool_node.py

@@ -84,7 +84,6 @@ from langchain_core.tools.base import (
 from langgraph._internal._runnable import RunnableCallable
 from langgraph.errors import GraphBubbleUp
 from langgraph.graph.message import REMOVE_ALL_MESSAGES
-from langgraph.runtime import DEFAULT_RUNTIME
 from langgraph.store.base import BaseStore  # noqa: TC002
 from langgraph.types import Command, Send, StreamWriter
 from pydantic import BaseModel, ValidationError
@@ -703,7 +702,7 @@ class ToolNode(RunnableCallable):
         self,
         input: list[AnyMessage] | dict[str, Any] | BaseModel,
         config: RunnableConfig,
-        runtime: Runtime = DEFAULT_RUNTIME,
+        runtime: Runtime,
     ) -> Any:
         tool_calls, input_type = self._parse_input(input)
         config_list = get_config_list(config, len(tool_calls))
@@ -735,7 +734,7 @@ class ToolNode(RunnableCallable):
         self,
         input: list[AnyMessage] | dict[str, Any] | BaseModel,
         config: RunnableConfig,
-        runtime: Runtime = DEFAULT_RUNTIME,
+        runtime: Runtime,
     ) -> Any:
         tool_calls, input_type = self._parse_input(input)
         config_list = get_config_list(config, len(tool_calls))

libs/prebuilt/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-prebuilt"
-version = "1.0.2"
+version = "1.0.3"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.10"

libs/prebuilt/tests/test_tool_node.py

@@ -9,6 +9,7 @@ from typing import (
     NoReturn,
     TypeVar,
 )
+from unittest.mock import Mock
 
 import pytest
 from langchain_core.messages import (
@@ -50,26 +51,27 @@ from .model import FakeToolCallingModel
 pytestmark = pytest.mark.anyio
 
 
+def _create_mock_runtime(store: BaseStore | None = None) -> Mock:
+    """Create a mock Runtime object for testing ToolNode outside of graph context.
+
+    This helper is needed because ToolNode._func expects a Runtime parameter
+    which is injected by RunnableCallable from config["configurable"]["__pregel_runtime"].
+    When testing ToolNode directly (outside a graph), we need to provide this manually.
+    """
+    mock_runtime = Mock()
+    mock_runtime.store = store
+    mock_runtime.context = None
+    mock_runtime.stream_writer = lambda *args, **kwargs: None
+    return mock_runtime
+
+
 def _create_config_with_runtime(store: BaseStore | None = None) -> RunnableConfig:
-    """Create a RunnableConfig for testing ToolNode.
-
-    Since ToolNode now has a default Runtime, this helper can be simplified.
-    It only needs to inject a store if one is provided, otherwise an empty config works.
-
-    Args:
-        store: Optional store to inject via runtime. If None, no runtime is needed.
+    """Create a RunnableConfig with mock Runtime for testing ToolNode.
 
     Returns:
-        RunnableConfig, optionally with __pregel_runtime if store is provided.
+        RunnableConfig with __pregel_runtime in configurable dict.
     """
-    if store is None:
-        # No runtime needed - ToolNode will use DEFAULT_RUNTIME
-        return {}
-
-    # Create a mock runtime only when we need to inject a store
-    from langgraph.runtime import Runtime
-    runtime = Runtime(context=None, store=store, stream_writer=lambda *args, **kwargs: None)
-    return {"configurable": {"__pregel_runtime": runtime}}
+    return {"configurable": {"__pregel_runtime": _create_mock_runtime(store)}}
 
 
 def tool1(some_val: int, some_other_val: str) -> str:

libs/prebuilt/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 3
+revision = 2
 requires-python = ">=3.10"
 
 [[package]]
@@ -246,7 +246,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.0.2"
+version = "1.0.3"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -467,7 +467,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "1.0.2"
+version = "1.0.3"
 source = { editable = "." }
 dependencies = [
     { name = "langchain-core" },