Python: Update workflow orchestration samples to use AzureOpenAIResponsesClient (#4285)

* Update workflow orchestration samples to use AzureOpenAIResponsesClient

* Fix broken link

python/samples/03-workflows/orchestrations/sequential_agents.py

@@ -1,10 +1,11 @@
 # Copyright (c) Microsoft. All rights reserved.
 
 import asyncio
+import os
 from typing import cast
 
 from agent_framework import Message
-from agent_framework.azure import AzureOpenAIChatClient
+from agent_framework.azure import AzureOpenAIResponsesClient
 from agent_framework.orchestrations import SequentialBuilder
 from azure.identity import AzureCliCredential
 from dotenv import load_dotenv
@@ -28,13 +29,19 @@ Note on internal adapters:
   You can safely ignore them when focusing on agent progress.
 
 Prerequisites:
-- Azure OpenAI access configured for AzureOpenAIChatClient (use az login + env vars)
+- AZURE_AI_PROJECT_ENDPOINT must be your Azure AI Foundry Agent Service (V2) project endpoint.
+- Azure OpenAI configured for AzureOpenAIResponsesClient with required environment variables.
+- Authentication via azure-identity. Use AzureCliCredential and run az login before executing the sample.
 """
 
 
 async def main() -> None:
     # 1) Create agents
-    client = AzureOpenAIChatClient(credential=AzureCliCredential())
+    client = AzureOpenAIResponsesClient(
+        project_endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+        deployment_name=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        credential=AzureCliCredential(),
+    )
 
     writer = client.as_agent(
         instructions=("You are a concise copywriter. Provide a single, punchy marketing sentence based on the prompt."),