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/samples/getting_started/agents/openai_responses_client/README.md

@@ -6,7 +6,7 @@ This folder contains examples demonstrating different ways to create and use age
 
 | File | Description |
 |------|-------------|
-| [`openai_responses_client_basic.py`](openai_responses_client_basic.py) | The simplest way to create an agent using `ChatClientAgent` with `OpenAIResponsesClient`. Shows both streaming and non-streaming responses for structured response generation with OpenAI models. |
+| [`openai_responses_client_basic.py`](openai_responses_client_basic.py) | The simplest way to create an agent using `ChatAgent` with `OpenAIResponsesClient`. Shows both streaming and non-streaming responses for structured response generation with OpenAI models. |
 | [`openai_responses_client_reasoning.py`](openai_responses_client_reasoning.py) | Demonstrates how to use reasoning capabilities with OpenAI agents, showing how the agent can provide detailed reasoning for its responses. |
 | [`openai_responses_client_with_explicit_settings.py`](openai_responses_client_with_explicit_settings.py) | Shows how to initialize an agent with a specific responses client, configuring settings explicitly including API key and model ID. |
 | [`openai_responses_client_with_function_tools.py`](openai_responses_client_with_function_tools.py) | Demonstrates how to use function tools with agents. Shows both agent-level tools (defined when creating the agent) and query-level tools (provided with specific queries). |

python/samples/getting_started/agents/openai_responses_client/openai_responses_client_basic.py

@@ -4,7 +4,7 @@ import asyncio
 from random import randint
 from typing import Annotated
 
-from agent_framework import ChatClientAgent
+from agent_framework import ChatAgent
 from agent_framework.openai import OpenAIResponsesClient
 from pydantic import Field
 
@@ -21,7 +21,7 @@ async def non_streaming_example() -> None:
     """Example of non-streaming response (get the complete result at once)."""
     print("=== Non-streaming Response Example ===")
 
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful weather agent.",
         tools=get_weather,
@@ -37,7 +37,7 @@ async def streaming_example() -> None:
     """Example of streaming response (get results as they are generated)."""
     print("=== Streaming Response Example ===")
 
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful weather agent.",
         tools=get_weather,
@@ -46,7 +46,7 @@ async def streaming_example() -> None:
     query = "What's the weather like in Portland?"
     print(f"User: {query}")
     print("Agent: ", end="", flush=True)
-    async for chunk in agent.run_streaming(query):
+    async for chunk in agent.run_stream(query):
         if chunk.text:
             print(chunk.text, end="", flush=True)
     print("\n")

python/samples/getting_started/agents/openai_responses_client/openai_responses_client_reasoning.py

@@ -22,7 +22,7 @@ async def reasoning_example() -> None:
     print(f"User: {query}")
     print(f"{agent.name}: ", end="", flush=True)
     usage = None
-    async for chunk in agent.run_streaming(query):
+    async for chunk in agent.run_stream(query):
         if chunk.contents:
             for content in chunk.contents:
                 if isinstance(content, TextReasoningContent):

python/samples/getting_started/agents/openai_responses_client/openai_responses_client_with_code_interpreter.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework import ChatClientAgent, ChatResponse, HostedCodeInterpreterTool
+from agent_framework import ChatAgent, ChatResponse, HostedCodeInterpreterTool
 from agent_framework.openai import OpenAIResponsesClient
 from openai.types.responses.response import Response as OpenAIResponse
 from openai.types.responses.response_code_interpreter_tool_call import ResponseCodeInterpreterToolCall
@@ -12,7 +12,7 @@ async def main() -> None:
     """Example showing how to use the HostedCodeInterpreterTool with OpenAI Responses."""
     print("=== OpenAI Responses Agent with Code Interpreter Example ===")
 
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful assistant that can write and execute Python code to solve problems.",
         tools=HostedCodeInterpreterTool(),

python/samples/getting_started/agents/openai_responses_client/openai_responses_client_with_function_tools.py

@@ -5,7 +5,7 @@ from datetime import datetime, timezone
 from random import randint
 from typing import Annotated
 
-from agent_framework import ChatClientAgent
+from agent_framework import ChatAgent
 from agent_framework.openai import OpenAIResponsesClient
 from pydantic import Field
 
@@ -30,7 +30,7 @@ async def tools_on_agent_level() -> None:
 
     # Tools are provided when creating the agent
     # The agent can use these tools for any query during its lifetime
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful assistant that can provide weather and time information.",
         tools=[get_weather, get_time],  # Tools defined at agent creation
@@ -60,7 +60,7 @@ async def tools_on_run_level() -> None:
     print("=== Tools Passed to Run Method ===")
 
     # Agent created without tools
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful assistant.",
         # No tools defined here
@@ -90,7 +90,7 @@ async def mixed_tools_example() -> None:
     print("=== Mixed Tools Example (Agent + Run Method) ===")
 
     # Agent created with some base tools
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a comprehensive assistant that can help with various information requests.",
         tools=[get_weather],  # Base tool available for all queries

python/samples/getting_started/agents/openai_responses_client/openai_responses_client_with_local_mcp.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework import ChatClientAgent, McpStreamableHttpTool
+from agent_framework import ChatAgent, MCPStreamableHTTPTool
 from agent_framework.openai import OpenAIResponsesClient
 
 
@@ -16,11 +16,11 @@ async def streaming_with_mcp(show_raw_stream: bool = False) -> None:
 
     # Tools are provided when creating the agent
     # The agent can use these tools for any query during its lifetime
-    async with ChatClientAgent(
+    async with ChatAgent(
         chat_client=OpenAIResponsesClient(),
         name="DocsAgent",
         instructions="You are a helpful assistant that can help with microsoft documentation questions.",
-        tools=McpStreamableHttpTool(  # Tools defined at agent creation
+        tools=MCPStreamableHTTPTool(  # Tools defined at agent creation
             name="Microsoft Learn MCP",
             url="https://learn.microsoft.com/api/mcp",
         ),
@@ -29,7 +29,7 @@ async def streaming_with_mcp(show_raw_stream: bool = False) -> None:
         query1 = "How to create an Azure storage account using az cli?"
         print(f"User: {query1}")
         print(f"{agent.name}: ", end="")
-        async for chunk in agent.run_streaming(query1):
+        async for chunk in agent.run_stream(query1):
             if show_raw_stream:
                 print("Streamed event: ", chunk.raw_representation.raw_representation)  # type:ignore
             elif chunk.text:
@@ -40,7 +40,7 @@ async def streaming_with_mcp(show_raw_stream: bool = False) -> None:
         query2 = "What is Microsoft Semantic Kernel?"
         print(f"User: {query2}")
         print(f"{agent.name}: ", end="")
-        async for chunk in agent.run_streaming(query2):
+        async for chunk in agent.run_stream(query2):
             if show_raw_stream:
                 print("Streamed event: ", chunk.raw_representation.raw_representation)  # type:ignore
             elif chunk.text:
@@ -54,11 +54,11 @@ async def run_with_mcp() -> None:
 
     # Tools are provided when creating the agent
     # The agent can use these tools for any query during its lifetime
-    async with ChatClientAgent(
+    async with ChatAgent(
         chat_client=OpenAIResponsesClient(),
         name="DocsAgent",
         instructions="You are a helpful assistant that can help with microsoft documentation questions.",
-        tools=McpStreamableHttpTool(  # Tools defined at agent creation
+        tools=MCPStreamableHTTPTool(  # Tools defined at agent creation
             name="Microsoft Learn MCP",
             url="https://learn.microsoft.com/api/mcp",
         ),

python/samples/getting_started/agents/openai_responses_client/openai_responses_client_with_thread.py

@@ -4,7 +4,7 @@ import asyncio
 from random import randint
 from typing import Annotated
 
-from agent_framework import AgentThread, ChatClientAgent
+from agent_framework import AgentThread, ChatAgent
 from agent_framework.openai import OpenAIResponsesClient
 from pydantic import Field
 
@@ -21,7 +21,7 @@ async def example_with_automatic_thread_creation() -> None:
     """Example showing automatic thread creation."""
     print("=== Automatic Thread Creation Example ===")
 
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful weather agent.",
         tools=get_weather,
@@ -48,7 +48,7 @@ async def example_with_thread_persistence_in_memory() -> None:
     """
     print("=== Thread Persistence Example (In-Memory) ===")
 
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful weather agent.",
         tools=get_weather,
@@ -87,7 +87,7 @@ async def example_with_existing_thread_id() -> None:
     # First, create a conversation and capture the thread ID
     existing_thread_id = None
 
-    agent = ChatClientAgent(
+    agent = ChatAgent(
         chat_client=OpenAIResponsesClient(),
         instructions="You are a helpful weather agent.",
         tools=get_weather,
@@ -109,7 +109,7 @@ async def example_with_existing_thread_id() -> None:
     if existing_thread_id:
         print("\n--- Continuing with the same thread ID in a new agent instance ---")
 
-        agent = ChatClientAgent(
+        agent = ChatAgent(
             chat_client=OpenAIResponsesClient(),
             instructions="You are a helpful weather agent.",
             tools=get_weather,