Add note about standard agent setup (#41877)

Author: nick863

sdk/ai/azure-ai-agents/README.md

@@ -634,6 +634,7 @@ def foo(arguments: func.QueueMessage, outputQueue: func.Out[str]) -> None:
 To deploy your function to Azure properly, follow Microsoft's official documentation step by step:
 
 [Azure Functions Python Developer Guide](https://learn.microsoft.com/azure/azure-functions/create-first-function-cli-python?tabs=windows%2Cbash%2Cazure-cli%2Cbrowser)
+**Note:** The Azure Function may be only used in standard agent setup. Please follow the [instruction](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/microsoft/infrastructure-setup/41-standard-agent-setup) to deploy an agent, capable of calling Azure Functions.
 
 **Summary of required steps:**
 

sdk/ai/azure-ai-agents/samples/agents_async/sample_agents_azure_functions_async.py

@@ -26,6 +26,9 @@
 
     Please see Getting Started with Azure Functions page for more information on Azure Functions:
     https://learn.microsoft.com/azure/azure-functions/functions-get-started
+    **Note:** The Azure Function may be only used in standard agent setup. Please follow the instruction on the web page
+    https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/microsoft/infrastructure-setup/41-standard-agent-setup
+    to deploy an agent, capable of calling Azure Functions.
 """
 
 import os

sdk/ai/azure-ai-agents/samples/agents_tools/sample_agents_azure_functions.py

@@ -22,8 +22,12 @@
     2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
        the "Models + endpoints" tab in your Azure AI Foundry project.
     3) STORAGE_SERVICE_ENDPONT - the storage service queue endpoint, triggering Azure function.
-       Please see Getting Started with Azure Functions page for more information on Azure Functions:
-       https://learn.microsoft.com/azure/azure-functions/functions-get-started
+
+    Please see Getting Started with Azure Functions page for more information on Azure Functions:
+    https://learn.microsoft.com/azure/azure-functions/functions-get-started
+    **Note:** The Azure Function may be only used in standard agent setup. Please follow the instruction on the web page
+    https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/microsoft/infrastructure-setup/41-standard-agent-setup
+    to deploy an agent, capable of calling Azure Functions.
 """
 
 import os

sdk/ai/azure-ai-agents/samples/agents_tools/sample_agents_multiple_connected_agents.py

@@ -22,8 +22,12 @@
     2) MODEL_DEPLOYMENT_NAME - The deployment name of the AI model, as found under the "Name" column in
        the "Models + endpoints" tab in your Azure AI Foundry project.
     3) STORAGE_QUEUE_URI - the storage service queue endpoint, triggering Azure function.
-       Please see Getting Started with Azure Functions page for more information on Azure Functions:
-       https://learn.microsoft.com/azure/azure-functions/functions-get-started
+    
+    Please see Getting Started with Azure Functions page for more information on Azure Functions:
+    https://learn.microsoft.com/azure/azure-functions/functions-get-started
+    **Note:** The Azure Function may be only used in standard agent setup. Please follow the instruction on the web page
+    https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/microsoft/infrastructure-setup/41-standard-agent-setup
+    to deploy an agent, capable of calling Azure Functions.
 """
 
 import os