diff --git a/libs/langgraph/bench/react_agent.py b/libs/langgraph/bench/react_agent.py
index b4a8dcc60..b52cd6d1f 100644
--- a/libs/langgraph/bench/react_agent.py
+++ b/libs/langgraph/bench/react_agent.py
@@ -10,7 +10,7 @@ from langchain_core.outputs import ChatGeneration, ChatResult
 from langchain_core.tools import StructuredTool
 
 from langgraph.checkpoint.base import BaseCheckpointSaver
-from langgraph.prebuilt.chat_agent_executor import create_react_agent
+from langgraph.prebuilt.chat_agent_executor import create_agent
 from langgraph.pregel import Pregel
 
 
@@ -60,7 +60,7 @@ def react_agent(n_tools: int, checkpointer: Optional[BaseCheckpointSaver]) -> Pr
         ]
     )
 
-    return create_react_agent(model, [tool], checkpointer=checkpointer)
+    return create_agent(model, [tool], checkpointer=checkpointer)
 
 
 if __name__ == "__main__":
diff --git a/libs/langgraph/tests/test_large_cases.py b/libs/langgraph/tests/test_large_cases.py
index d626d05ed..dbba69966 100644
--- a/libs/langgraph/tests/test_large_cases.py
+++ b/libs/langgraph/tests/test_large_cases.py
@@ -21,7 +21,7 @@ from langgraph.checkpoint.memory import InMemorySaver
 from langgraph.constants import END, START
 from langgraph.graph import StateGraph
 from langgraph.graph.message import MessagesState, add_messages
-from langgraph.prebuilt.chat_agent_executor import create_react_agent
+from langgraph.prebuilt.chat_agent_executor import create_agent
 from langgraph.prebuilt.tool_node import ToolNode
 from langgraph.pregel import NodeBuilder, Pregel
 from langgraph.types import (
@@ -1301,7 +1301,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
         ]
     )
 
-    app = create_react_agent(model, tools)
+    app = create_agent(model, tools)
 
     assert json.dumps(app.get_input_jsonschema()) == snapshot
     assert json.dumps(app.get_output_jsonschema()) == snapshot
diff --git a/libs/langgraph/tests/test_large_cases_async.py b/libs/langgraph/tests/test_large_cases_async.py
index 022034e66..6af84c0d6 100644
--- a/libs/langgraph/tests/test_large_cases_async.py
+++ b/libs/langgraph/tests/test_large_cases_async.py
@@ -23,7 +23,7 @@ from langgraph.checkpoint.base import BaseCheckpointSaver
 from langgraph.constants import END, START
 from langgraph.graph.message import add_messages
 from langgraph.graph.state import StateGraph
-from langgraph.prebuilt.chat_agent_executor import create_react_agent
+from langgraph.prebuilt.chat_agent_executor import create_agent
 from langgraph.prebuilt.tool_node import ToolNode
 from langgraph.pregel import NodeBuilder, Pregel
 from langgraph.types import PregelTask, Send, StateSnapshot, StreamWriter
@@ -1059,7 +1059,7 @@ async def test_prebuilt_tool_chat() -> None:
 
     tools = [search_api]
 
-    app = create_react_agent(model, tools)
+    app = create_agent(model, tools)
 
     assert await app.ainvoke(
         {"messages": [HumanMessage(content="what is weather in sf")]}
diff --git a/libs/prebuilt/langgraph/prebuilt/__init__.py b/libs/prebuilt/langgraph/prebuilt/__init__.py
index 0b9581053..d472fe84b 100644
--- a/libs/prebuilt/langgraph/prebuilt/__init__.py
+++ b/libs/prebuilt/langgraph/prebuilt/__init__.py
@@ -1,6 +1,6 @@
 """langgraph.prebuilt exposes a higher-level API for creating and executing agents and tools."""
 
-from langgraph.prebuilt.chat_agent_executor import create_react_agent
+from langgraph.prebuilt.chat_agent_executor import create_agent
 from langgraph.prebuilt.tool_node import (
     InjectedState,
     InjectedStore,
@@ -10,7 +10,7 @@ from langgraph.prebuilt.tool_node import (
 from langgraph.prebuilt.tool_validator import ValidationNode
 
 __all__ = [
-    "create_react_agent",
+    "create_agent",
     "ToolNode",
     "tools_condition",
     "ValidationNode",
diff --git a/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py b/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py
index 06a554d62..a8390ff80 100644
--- a/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py
+++ b/libs/prebuilt/langgraph/prebuilt/chat_agent_executor.py
@@ -680,7 +680,7 @@ class _AgentBuilder(Generic[StructuredResponseT]):
 
     def _get_entry_point(self) -> str:
         """Get the workflow entry point."""
-        return "pre_model_hook" if self.pre_model_hook else "agent"
+        return "pre_model_hook" if self.pre_model_hook else "model"
 
     def _get_model_paths(self) -> list[str]:
         """Get possible edge destinations from model node."""
@@ -714,7 +714,7 @@ class _AgentBuilder(Generic[StructuredResponseT]):
 
         # Add nodes
         workflow.add_node(
-            "agent", self.create_model_node(), input_schema=self._get_input_schema()
+            "model", self.create_model_node(), input_schema=self._get_input_schema()
         )
 
         if self._tool_calling_enabled:
@@ -728,10 +728,10 @@ class _AgentBuilder(Generic[StructuredResponseT]):
 
         # Add edges
         if self.pre_model_hook:
-            workflow.add_edge("pre_model_hook", "agent")
+            workflow.add_edge("pre_model_hook", "model")
 
         if self.post_model_hook:
-            workflow.add_edge("agent", "post_model_hook")
+            workflow.add_edge("model", "post_model_hook")
             post_hook_paths = self._get_post_model_hook_paths()
             if len(post_hook_paths) == 1:
                 # No need for a conditional edge if there's only one path
@@ -746,10 +746,10 @@ class _AgentBuilder(Generic[StructuredResponseT]):
             model_paths = self._get_model_paths()
             if len(model_paths) == 1:
                 # No need for a conditional edge if there's only one path
-                workflow.add_edge("agent", model_paths[0])
+                workflow.add_edge("model", model_paths[0])
             else:
                 workflow.add_conditional_edges(
-                    "agent",
+                    "model",
                     self.create_model_router(),
                     path_map=model_paths,
                 )
@@ -771,7 +771,7 @@ class _AgentBuilder(Generic[StructuredResponseT]):
         return workflow
 
 
-def create_react_agent(
+def create_agent(
     model: Union[
         str,
         BaseChatModel,
@@ -796,7 +796,7 @@ def create_react_agent(
 ) -> CompiledStateGraph:
     """Creates an agent graph that calls tools in a loop until a stopping condition is met.
 
-    For more details on using `create_react_agent`, visit [Agents](https://langchain-ai.github.io/langgraph/agents/overview/) documentation.
+    For more details on using `create_agent`, visit [Agents](https://langchain-ai.github.io/langgraph/agents/overview/) documentation.
 
     Args:
         model: The language model for the agent. Supports static and dynamic
@@ -911,10 +911,10 @@ def create_react_agent(
         store: An optional store object. This is used for persisting data
             across multiple threads (e.g., multiple conversations / users).
         interrupt_before: An optional list of node names to interrupt before.
-            Should be one of the following: "agent", "tools".
+            Should be one of the following: "model", "tools".
             This is useful if you want to add a user confirmation or other interrupt before taking an action.
         interrupt_after: An optional list of node names to interrupt after.
-            Should be one of the following: "agent", "tools".
+            Should be one of the following: "model", "tools".
             This is useful if you want to return directly or run additional processing on an output.
         debug: A flag indicating whether to enable debug mode.
         name: An optional name for the CompiledStateGraph.
@@ -924,7 +924,7 @@ def create_react_agent(
     Returns:
         A CompiledStateGraph that can be used for chat interactions.
 
-    The "agent" node calls the language model with the messages list (after applying the prompt).
+    The "model" node calls the language model with the messages list (after applying the prompt).
     If the resulting AIMessage contains `tool_calls`, the graph will then call the ["tools"][langgraph.prebuilt.tool_node.ToolNode].
     The "tools" node executes the tools (1 tool per `tool_call`) and adds the responses to the messages list
     as `ToolMessage` objects. The agent node then calls the language model again.
@@ -947,13 +947,13 @@ def create_react_agent(
 
     Example:
         ```python
-        from langgraph.prebuilt import create_react_agent
+        from langgraph.prebuilt import create_agent
 
         def check_weather(location: str) -> str:
             '''Return the weather forecast for the specified location.'''
             return f"It's always sunny in {location}"
 
-        graph = create_react_agent(
+        graph = create_agent(
             "anthropic:claude-3-7-sonnet-latest",
             tools=[check_weather],
             prompt="You are a helpful assistant",
@@ -1005,12 +1005,8 @@ def create_react_agent(
     )
 
 
-# Keep for backwards compatibility
-create_tool_calling_executor = create_react_agent
-
 __all__ = [
-    "create_react_agent",
-    "create_tool_calling_executor",
+    "create_agent",
     "AgentState",
     "AgentStatePydantic",
     "AgentStateWithStructuredResponse",
diff --git a/libs/prebuilt/tests/__snapshots__/test_react_agent_graph.ambr b/libs/prebuilt/tests/__snapshots__/test_react_agent_graph.ambr
index 49e40649e..9f8ed33c8 100644
--- a/libs/prebuilt/tests/__snapshots__/test_react_agent_graph.ambr
+++ b/libs/prebuilt/tests/__snapshots__/test_react_agent_graph.ambr
@@ -2,18 +2,18 @@
 # name: test_react_agent_graph_structure[None-None-tools0]
   '''
   graph TD;
-  	__start__ --> agent;
-  	agent --> __end__;
+  	__start__ --> model;
+  	model --> __end__;
   
   '''
 # ---
 # name: test_react_agent_graph_structure[None-None-tools1]
   '''
   graph TD;
-  	__start__ --> agent;
-  	agent -.-> __end__;
-  	agent -.-> tools;
-  	tools --> agent;
+  	__start__ --> model;
+  	model -.-> __end__;
+  	model -.-> tools;
+  	tools --> model;
   
   '''
 # ---
@@ -21,8 +21,8 @@
   '''
   graph TD;
   	__start__ --> pre_model_hook;
-  	pre_model_hook --> agent;
-  	agent --> __end__;
+  	pre_model_hook --> model;
+  	model --> __end__;
   
   '''
 # ---
@@ -30,9 +30,9 @@
   '''
   graph TD;
   	__start__ --> pre_model_hook;
-  	agent -.-> __end__;
-  	agent -.-> tools;
-  	pre_model_hook --> agent;
+  	model -.-> __end__;
+  	model -.-> tools;
+  	pre_model_hook --> model;
   	tools --> pre_model_hook;
   
   '''
@@ -40,8 +40,8 @@
 # name: test_react_agent_graph_structure[post_model_hook-None-tools0]
   '''
   graph TD;
-  	__start__ --> agent;
-  	agent --> post_model_hook;
+  	__start__ --> model;
+  	model --> post_model_hook;
   	post_model_hook --> __end__;
   
   '''
@@ -49,12 +49,12 @@
 # name: test_react_agent_graph_structure[post_model_hook-None-tools1]
   '''
   graph TD;
-  	__start__ --> agent;
-  	agent --> post_model_hook;
+  	__start__ --> model;
+  	model --> post_model_hook;
   	post_model_hook -.-> __end__;
-  	post_model_hook -.-> agent;
+  	post_model_hook -.-> model;
   	post_model_hook -.-> tools;
-  	tools --> agent;
+  	tools --> model;
   
   '''
 # ---
@@ -62,8 +62,8 @@
   '''
   graph TD;
   	__start__ --> pre_model_hook;
-  	agent --> post_model_hook;
-  	pre_model_hook --> agent;
+  	model --> post_model_hook;
+  	pre_model_hook --> model;
   	post_model_hook --> __end__;
   
   '''
@@ -72,11 +72,11 @@
   '''
   graph TD;
   	__start__ --> pre_model_hook;
-  	agent --> post_model_hook;
+  	model --> post_model_hook;
   	post_model_hook -.-> __end__;
   	post_model_hook -.-> pre_model_hook;
   	post_model_hook -.-> tools;
-  	pre_model_hook --> agent;
+  	pre_model_hook --> model;
   	tools --> pre_model_hook;
   
   '''
diff --git a/libs/prebuilt/tests/test_react_agent.py b/libs/prebuilt/tests/test_react_agent.py
index b2887d716..7dd787ff0 100644
--- a/libs/prebuilt/tests/test_react_agent.py
+++ b/libs/prebuilt/tests/test_react_agent.py
@@ -28,7 +28,7 @@ from langgraph.graph import START, MessagesState, StateGraph
 from langgraph.graph.message import REMOVE_ALL_MESSAGES
 from langgraph.prebuilt import (
     ToolNode,
-    create_react_agent,
+    create_agent,
 )
 from langgraph.prebuilt.chat_agent_executor import (
     AgentState,
@@ -56,7 +56,7 @@ pytestmark = pytest.mark.anyio
 def test_no_prompt(sync_checkpointer: BaseCheckpointSaver) -> None:
     model = FakeToolCallingModel()
 
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [],
         checkpointer=sync_checkpointer,
@@ -86,7 +86,7 @@ def test_no_prompt(sync_checkpointer: BaseCheckpointSaver) -> None:
 async def test_no_prompt_async(async_checkpointer: BaseCheckpointSaver) -> None:
     model = FakeToolCallingModel()
 
-    agent = create_react_agent(model, [], checkpointer=async_checkpointer)
+    agent = create_agent(model, [], checkpointer=async_checkpointer)
     inputs = [HumanMessage("hi?")]
     thread = {"configurable": {"thread_id": "123"}}
     response = await agent.ainvoke({"messages": inputs}, thread, debug=True)
@@ -111,7 +111,7 @@ async def test_no_prompt_async(async_checkpointer: BaseCheckpointSaver) -> None:
 
 def test_system_message_prompt():
     prompt = SystemMessage(content="Foo")
-    agent = create_react_agent(FakeToolCallingModel(), [], prompt=prompt)
+    agent = create_agent(FakeToolCallingModel(), [], prompt=prompt)
     inputs = [HumanMessage("hi?")]
     response = agent.invoke({"messages": inputs})
     expected_response = {
@@ -122,7 +122,7 @@ def test_system_message_prompt():
 
 def test_string_prompt():
     prompt = "Foo"
-    agent = create_react_agent(FakeToolCallingModel(), [], prompt=prompt)
+    agent = create_agent(FakeToolCallingModel(), [], prompt=prompt)
     inputs = [HumanMessage("hi?")]
     response = agent.invoke({"messages": inputs})
     expected_response = {
@@ -136,7 +136,7 @@ def test_callable_prompt():
         modified_message = f"Bar {state['messages'][-1].content}"
         return [HumanMessage(content=modified_message)]
 
-    agent = create_react_agent(FakeToolCallingModel(), [], prompt=prompt)
+    agent = create_agent(FakeToolCallingModel(), [], prompt=prompt)
     inputs = [HumanMessage("hi?")]
     response = agent.invoke({"messages": inputs})
     expected_response = {"messages": inputs + [AIMessage(content="Bar hi?", id="0")]}
@@ -148,7 +148,7 @@ async def test_callable_prompt_async():
         modified_message = f"Bar {state['messages'][-1].content}"
         return [HumanMessage(content=modified_message)]
 
-    agent = create_react_agent(FakeToolCallingModel(), [], prompt=prompt)
+    agent = create_agent(FakeToolCallingModel(), [], prompt=prompt)
     inputs = [HumanMessage("hi?")]
     response = await agent.ainvoke({"messages": inputs})
     expected_response = {"messages": inputs + [AIMessage(content="Bar hi?", id="0")]}
@@ -160,7 +160,7 @@ def test_runnable_prompt():
         lambda state: [HumanMessage(content=f"Baz {state['messages'][-1].content}")]
     )
 
-    agent = create_react_agent(FakeToolCallingModel(), [], prompt=prompt)
+    agent = create_agent(FakeToolCallingModel(), [], prompt=prompt)
     inputs = [HumanMessage("hi?")]
     response = agent.invoke({"messages": inputs})
     expected_response = {"messages": inputs + [AIMessage(content="Baz hi?", id="0")]}
@@ -187,7 +187,7 @@ def test_prompt_with_store():
     model = FakeToolCallingModel()
 
     # test state modifier that uses store works
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [add],
         prompt=prompt,
@@ -199,7 +199,7 @@ def test_prompt_with_store():
     assert response["messages"][-1].content == "User name is Alice-hi"
 
     # test state modifier that doesn't use store works
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [add],
         prompt=prompt_no_store,
@@ -237,16 +237,14 @@ async def test_prompt_with_store_async():
     model = FakeToolCallingModel()
 
     # test state modifier that uses store works
-    agent = create_react_agent(model, [add], prompt=prompt, store=in_memory_store)
+    agent = create_agent(model, [add], prompt=prompt, store=in_memory_store)
     response = await agent.ainvoke(
         {"messages": [("user", "hi")]}, {"configurable": {"user_id": "1"}}
     )
     assert response["messages"][-1].content == "User name is Alice-hi"
 
     # test state modifier that doesn't use store works
-    agent = create_react_agent(
-        model, [add], prompt=prompt_no_store, store=in_memory_store
-    )
+    agent = create_agent(model, [add], prompt=prompt_no_store, store=in_memory_store)
     response = await agent.ainvoke(
         {"messages": [("user", "hi")]}, {"configurable": {"user_id": "2"}}
     )
@@ -287,7 +285,7 @@ def test_model_with_tools(tool_style: str, include_builtin: bool) -> None:
         )
     # check valid agent constructor
     with pytest.raises(ValueError):
-        create_react_agent(
+        create_agent(
             model.bind_tools(tools),
             tools,
         )
@@ -436,7 +434,7 @@ def test_react_agent_with_structured_response() -> None:
     model = FakeToolCallingModel[WeatherResponse](
         tool_calls=tool_calls, structured_response=expected_structured_response
     )
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [get_weather],
         response_format=WeatherResponse,
@@ -513,7 +511,7 @@ def test_react_agent_update_state(
 
     tool_calls = [[{"args": {}, "id": "1", "name": "get_user_name"}]]
     model = FakeToolCallingModel(tool_calls=tool_calls)
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [get_user_name],
         state_schema=state_schema,
@@ -564,7 +562,7 @@ def test_react_agent_parallel_tool_calls(
         [],
     ]
     model = FakeToolCallingModel(tool_calls=tool_calls)
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [human_assistance, get_weather],
         checkpointer=sync_checkpointer,
@@ -647,7 +645,7 @@ def test_create_react_agent_inject_vars(state_schema: StateSchemaType) -> None:
         "type": "tool_call",
     }
     model = FakeToolCallingModel(tool_calls=[[tool_call], []])
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         ToolNode([tool1], handle_tool_errors=False),
         state_schema=state_schema,
@@ -687,7 +685,7 @@ async def test_return_direct() -> None:
         tool_calls=first_tool_call,
     )
     model = FakeToolCallingModel(tool_calls=[first_tool_call, []])
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [tool_return_direct, tool_normal],
     )
@@ -714,7 +712,7 @@ async def test_return_direct() -> None:
         ),
     ]
     model = FakeToolCallingModel(tool_calls=[second_tool_call, []])
-    agent = create_react_agent(model, [tool_return_direct, tool_normal])
+    agent = create_agent(model, [tool_return_direct, tool_normal])
     result = agent.invoke(
         {"messages": [HumanMessage(content="Test normal", id="hum1")]}
     )
@@ -743,7 +741,7 @@ async def test_return_direct() -> None:
         ),
     ]
     model = FakeToolCallingModel(tool_calls=[both_tool_calls, []])
-    agent = create_react_agent(model, [tool_return_direct, tool_normal])
+    agent = create_agent(model, [tool_return_direct, tool_normal])
     result = agent.invoke({"messages": [HumanMessage(content="Test both", id="hum2")]})
     assert result["messages"] == [
         HumanMessage(content="Test both", id="hum2"),
@@ -780,8 +778,8 @@ def test__get_state_args() -> None:
 
 def test_inspect_react() -> None:
     model = FakeToolCallingModel(tool_calls=[])
-    agent = create_react_agent(model, [])
-    inspect.getclosurevars(agent.nodes["agent"].bound.func)
+    agent = create_agent(model, [])
+    inspect.getclosurevars(agent.nodes["model"].bound.func)
 
 
 def test_react_with_subgraph_tools(
@@ -837,7 +835,7 @@ def test_react_with_subgraph_tools(
         ]
     )
     tool_node = ToolNode([addition, multiplication], handle_tool_errors=False)
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         tool_node,
         checkpointer=sync_checkpointer,
@@ -887,7 +885,7 @@ def test_react_agent_subgraph_streaming_sync() -> None:
         ]
     )
 
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         tools=[get_weather],
         prompt="You are a helpful travel assistant.",
@@ -976,7 +974,7 @@ async def test_react_agent_subgraph_streaming() -> None:
         ]
     )
 
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         tools=[get_weather],
         prompt="You are a helpful travel assistant.",
@@ -1074,7 +1072,7 @@ def test_tool_node_node_interrupt(
         ]
     )
     config = {"configurable": {"thread_id": "1"}}
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [tool_interrupt, tool_normal],
         checkpointer=sync_checkpointer,
@@ -1126,7 +1124,7 @@ def test_dynamic_model_basic() -> None:
         else:
             return FakeToolCallingModel(tool_calls=[])
 
-    agent = create_react_agent(dynamic_model, [])
+    agent = create_agent(dynamic_model, [])
 
     result = agent.invoke({"messages": [HumanMessage("hello")]})
     assert len(result["messages"]) == 2
@@ -1164,7 +1162,7 @@ def test_dynamic_model_with_tools() -> None:
                 tool_calls=[[{"args": {"x": 1}, "id": "1", "name": "basic_tool"}], []]
             )
 
-    agent = create_react_agent(dynamic_model, [basic_tool, advanced_tool])
+    agent = create_agent(dynamic_model, [basic_tool, advanced_tool])
 
     # Test basic tool usage
     result = agent.invoke({"messages": [HumanMessage("basic request")]})
@@ -1197,7 +1195,7 @@ def test_dynamic_model_with_context() -> None:
         else:
             return FakeToolCallingModel(tool_calls=[])
 
-    agent = create_react_agent(dynamic_model, [], context_schema=Context)
+    agent = create_agent(dynamic_model, [], context_schema=Context)
 
     # Test with basic user
     result = agent.invoke(
@@ -1227,7 +1225,7 @@ def test_dynamic_model_with_state_schema() -> None:
         else:
             return FakeToolCallingModel(tool_calls=[])
 
-    agent = create_react_agent(dynamic_model, [], state_schema=CustomDynamicState)
+    agent = create_agent(dynamic_model, [], state_schema=CustomDynamicState)
 
     result = agent.invoke(
         {"messages": [HumanMessage("hello")], "model_preference": "advanced"}
@@ -1243,7 +1241,7 @@ def test_dynamic_model_with_prompt() -> None:
         return FakeToolCallingModel(tool_calls=[])
 
     # Test with string prompt
-    agent = create_react_agent(dynamic_model, [], prompt="system_msg")
+    agent = create_agent(dynamic_model, [], prompt="system_msg")
     result = agent.invoke({"messages": [HumanMessage("human_msg")]})
     assert result["messages"][-1].content == "system_msg-human_msg"
 
@@ -1252,7 +1250,7 @@ def test_dynamic_model_with_prompt() -> None:
         """Generate a dynamic system message based on state."""
         return [{"role": "system", "content": "system_msg"}] + list(state["messages"])
 
-    agent = create_react_agent(dynamic_model, [], prompt=dynamic_prompt)
+    agent = create_agent(dynamic_model, [], prompt=dynamic_prompt)
     result = agent.invoke({"messages": [HumanMessage("human_msg")]})
     assert result["messages"][-1].content == "system_msg-human_msg"
 
@@ -1263,7 +1261,7 @@ async def test_dynamic_model_async() -> None:
     def dynamic_model(state: AgentState, runtime: Runtime) -> BaseChatModel:
         return FakeToolCallingModel(tool_calls=[])
 
-    agent = create_react_agent(dynamic_model, [])
+    agent = create_agent(dynamic_model, [])
 
     result = await agent.ainvoke({"messages": [HumanMessage("hello async")]})
     assert len(result["messages"]) == 2
@@ -1291,7 +1289,7 @@ def test_dynamic_model_with_structured_response() -> None:
             ],
         )
 
-    agent = create_react_agent(dynamic_model, [], response_format=TestResponse)
+    agent = create_agent(dynamic_model, [], response_format=TestResponse)
 
     result = agent.invoke({"messages": [HumanMessage("hello")]})
     assert "structured_response" in result
@@ -1315,7 +1313,7 @@ def test_dynamic_model_with_checkpointer(sync_checkpointer):
             index=call_count,
         )
 
-    agent = create_react_agent(dynamic_model, [], checkpointer=sync_checkpointer)
+    agent = create_agent(dynamic_model, [], checkpointer=sync_checkpointer)
     config = {"configurable": {"thread_id": "test_dynamic"}}
 
     # First call
@@ -1354,7 +1352,7 @@ def test_dynamic_model_state_dependent_tools() -> None:
                 tool_calls=[[{"args": {"x": 1}, "id": "1", "name": "tool_a"}], []]
             )
 
-    agent = create_react_agent(dynamic_model, [tool_a, tool_b])
+    agent = create_agent(dynamic_model, [tool_a, tool_b])
 
     # Ask to use tool B
     result = agent.invoke({"messages": [HumanMessage("use_b please")]})
@@ -1377,7 +1375,7 @@ def test_dynamic_model_error_handling() -> None:
             raise ValueError("Dynamic model failed")
         return FakeToolCallingModel(tool_calls=[])
 
-    agent = create_react_agent(failing_dynamic_model, [])
+    agent = create_agent(failing_dynamic_model, [])
 
     # Normal operation should work
     result = agent.invoke({"messages": [HumanMessage("hello")]})
@@ -1392,13 +1390,13 @@ def test_dynamic_model_vs_static_model_behavior():
     """Test that dynamic and static models produce equivalent results when configured the same."""
     # Static model
     static_model = FakeToolCallingModel(tool_calls=[])
-    static_agent = create_react_agent(static_model, [])
+    static_agent = create_agent(static_model, [])
 
     # Dynamic model returning the same model
     def dynamic_model(state, runtime: Runtime):
         return FakeToolCallingModel(tool_calls=[])
 
-    dynamic_agent = create_react_agent(dynamic_model, [])
+    dynamic_agent = create_agent(dynamic_model, [])
 
     input_msg = {"messages": [HumanMessage("test message")]}
 
@@ -1423,7 +1421,7 @@ def test_dynamic_model_receives_correct_state():
         received_states.append(state)
         return FakeToolCallingModel(tool_calls=[])
 
-    agent = create_react_agent(dynamic_model, [], state_schema=CustomAgentState)
+    agent = create_agent(dynamic_model, [], state_schema=CustomAgentState)
 
     # Test with initial state
     input_state = {"messages": [HumanMessage("hello")], "custom_field": "test_value"}
@@ -1454,7 +1452,7 @@ async def test_dynamic_model_receives_correct_state_async():
         received_states.append(state)
         return FakeToolCallingModel(tool_calls=[])
 
-    agent = create_react_agent(dynamic_model, [], state_schema=CustomAgentStateAsync)
+    agent = create_agent(dynamic_model, [], state_schema=CustomAgentStateAsync)
 
     # Test with initial state
     input_state = {
@@ -1483,7 +1481,7 @@ def test_pre_model_hook() -> None:
     def pre_model_hook(state: AgentState):
         return {"llm_input_messages": [HumanMessage("Hello!")]}
 
-    agent = create_react_agent(model, [], pre_model_hook=pre_model_hook)
+    agent = create_agent(model, [], pre_model_hook=pre_model_hook)
     assert "pre_model_hook" in agent.nodes
     result = agent.invoke({"messages": [HumanMessage("hi?")]})
     assert result == {
@@ -1499,7 +1497,7 @@ def test_pre_model_hook() -> None:
             "messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES), HumanMessage("Hello!")]
         }
 
-    agent = create_react_agent(model, [], pre_model_hook=pre_model_hook)
+    agent = create_agent(model, [], pre_model_hook=pre_model_hook)
     result = agent.invoke({"messages": [HumanMessage("hi?")]})
     assert result == {
         "messages": [
@@ -1518,7 +1516,7 @@ def test_post_model_hook() -> None:
     def post_model_hook(state: FlagState) -> dict[str, bool]:
         return {"flag": True}
 
-    pmh_agent = create_react_agent(
+    pmh_agent = create_agent(
         model, [], post_model_hook=post_model_hook, state_schema=FlagState
     )
 
@@ -1530,7 +1528,7 @@ def test_post_model_hook() -> None:
     events = list(pmh_agent.stream({"messages": [HumanMessage("hi?")], "flag": False}))
     assert events == [
         {
-            "agent": {
+            "model": {
                 "messages": [
                     AIMessage(
                         content="hi?",
@@ -1568,7 +1566,7 @@ def test_post_model_hook_with_structured_output() -> None:
         return {"flag": True}
 
     model = FakeToolCallingModel(tool_calls=tool_calls)
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [get_weather],
         response_format=WeatherResponse,
@@ -1586,7 +1584,7 @@ def test_post_model_hook_with_structured_output() -> None:
 
     # Reset the state of the model
     model = FakeToolCallingModel(tool_calls=tool_calls)
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [get_weather],
         response_format=WeatherResponse,
@@ -1599,7 +1597,7 @@ def test_post_model_hook_with_structured_output() -> None:
     )
     assert events == [
         {
-            "agent": {
+            "model": {
                 "messages": [
                     AIMessage(
                         content="What's the weather?",
@@ -1631,7 +1629,7 @@ def test_post_model_hook_with_structured_output() -> None:
             }
         },
         {
-            "agent": {
+            "model": {
                 "messages": [
                     AIMessage(
                         content="What's the weather?-What's the weather?-The weather is sunny and 75°F.",
@@ -1703,7 +1701,7 @@ def test_create_react_agent_inject_vars_with_post_model_hook(
         return {"foo": 2}
 
     model = FakeToolCallingModel(tool_calls=[[tool_call], []])
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         ToolNode([tool1], handle_tool_errors=False),
         state_schema=state_schema,
@@ -1738,7 +1736,7 @@ def test_response_format_using_tool_choice() -> None:
 
     expected_structured_response = WeatherResponse(temperature=75)
     model = FakeToolCallingModel(tool_calls=tool_calls)
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         [get_weather],
         response_format=WeatherResponse,
diff --git a/libs/prebuilt/tests/test_react_agent_graph.py b/libs/prebuilt/tests/test_react_agent_graph.py
index ee7649278..4a938f2e9 100644
--- a/libs/prebuilt/tests/test_react_agent_graph.py
+++ b/libs/prebuilt/tests/test_react_agent_graph.py
@@ -4,7 +4,7 @@ import pytest
 from pydantic import BaseModel
 from syrupy import SnapshotAssertion
 
-from langgraph.prebuilt import create_react_agent
+from langgraph.prebuilt import create_agent
 from tests.model import FakeToolCallingModel
 
 model = FakeToolCallingModel()
@@ -40,7 +40,7 @@ def test_react_agent_graph_structure(
     pre_model_hook: Union[Callable, None],
     post_model_hook: Union[Callable, None],
 ) -> None:
-    agent = create_react_agent(
+    agent = create_agent(
         model,
         tools=tools,
         pre_model_hook=pre_model_hook,