Python: name changes executed (#607)

* name changes executed

* updated adr to accepted

* renamed openai base config

* renamed openai config to mixin

* added renames in user docs

* reverted mcperror

* fix tests

* remove sse from tests

python/packages/main/README.md

@@ -65,11 +65,11 @@ Create agents and invoke them directly:
 
 ```python
 import asyncio
-from agent_framework import ChatClientAgent
+from agent_framework import ChatAgent
 from agent_framework.openai import OpenAIChatClient
 
 async def main():
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIChatClient(),
         instructions="""
         1) A robot may not injure a human being...
@@ -94,14 +94,14 @@ You can use the chat client classes directly for advanced workflows:
 ```python
 import asyncio
 from agent_framework.openai import OpenAIChatClient
-from agent_framework import ChatMessage, ChatRole
+from agent_framework import ChatMessage, Role
 
 async def main():
     client = OpenAIChatClient()
 
     messages = [
-        ChatMessage(role=ChatRole.SYSTEM, text="You are a helpful assistant."),
-        ChatMessage(role=ChatRole.USER, text="Write a haiku about Agent Framework.")
+        ChatMessage(role=Role.SYSTEM, text="You are a helpful assistant."),
+        ChatMessage(role=Role.USER, text="Write a haiku about Agent Framework.")
     ]
 
     response = await client.get_response(messages)
@@ -127,7 +127,7 @@ import asyncio
 from typing import Annotated
 from random import randint
 from pydantic import Field
-from agent_framework import ChatClientAgent
+from agent_framework import ChatAgent
 from agent_framework.openai import OpenAIChatClient
 
 
@@ -149,7 +149,7 @@ def get_menu_specials() -> str:
 
 
 async def main():
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIChatClient(),
         instructions="You are a helpful assistant that can provide weather and restaurant information.",
         tools=[get_weather, get_menu_specials]
@@ -173,19 +173,19 @@ Coordinate multiple agents to collaborate on complex tasks using orchestration p
 
 ```python
 import asyncio
-from agent_framework import ChatClientAgent
+from agent_framework import ChatAgent
 from agent_framework.openai import OpenAIChatClient
 
 
 async def main():
     # Create specialized agents
-    writer = ChatClientAgent(
+    writer = ChatAgent(
         chat_client=OpenAIChatClient(),
         name="Writer",
         instructions="You are a creative content writer. Generate and refine slogans based on feedback."
     )
 
-    reviewer = ChatClientAgent(
+    reviewer = ChatAgent(
         chat_client=OpenAIChatClient(),
         name="Reviewer",
         instructions="You are a critical reviewer. Provide detailed feedback on proposed slogans."