docs: update typing -> typing_extensions for TypedDict (#1871)

docs/docs/cloud/deployment/graph_rebuild.md

@@ -58,7 +58,8 @@ To make the server aware of your graph, you need to specify a path to the variab
 To make your graph rebuild on each new run with custom configuration, you need to rewrite `openai_agent.py` to instead provide a _function_ that takes a config and returns a graph (or compiled graph) instance. Let's say we want to return our existing graph for user ID '1', and a tool-calling agent for other users. We can modify `openai_agent.py` as follows:
 
 ```python
-from typing import Annotated, TypedDict
+from typing import Annotated
+from typing_extensions import TypedDict
 from langchain_openai import ChatOpenAI
 from langgraph.graph import END, START, MessageGraph
 from langgraph.graph.state import StateGraph

docs/docs/cloud/deployment/setup.md

@@ -101,7 +101,8 @@ Example `agent.py` file, which shows how to import from other modules you define
 
 ```python
 # my_agent/agent.py
-from typing import TypedDict, Literal
+from typing import Literal
+from typing_extensions import TypedDict
 
 from langgraph.graph import StateGraph, END, START
 from my_agent.utils.nodes import call_model, should_continue, tool_node # import nodes

docs/docs/cloud/deployment/setup_pyproject.md

@@ -110,7 +110,8 @@ Example `agent.py` file, which shows how to import from other modules you define
 
 ```python
 # my_agent/agent.py
-from typing import TypedDict, Literal
+from typing import Literal
+from typing_extensions import TypedDict
 
 from langgraph.graph import StateGraph, END, START
 from my_agent.utils.nodes import call_model, should_continue, tool_node # import nodes

docs/docs/cloud/how-tos/stream_messages.md

@@ -7,7 +7,8 @@ E.g., the state should look something like:
 === "Python"
 
     ```python
-    from typing import TypedDict, Annotated
+    from typing import Annotated
+    from typing_extensions import TypedDict
     from langgraph.graph import add_messages
     from langchain_core.messages import AnyMessage