Added AI Search example

python/samples/getting_started/agents/azure_ai/README.md

@@ -8,6 +8,7 @@ This folder contains examples demonstrating different ways to create and use age
 |------|-------------|
 | [`azure_ai_basic.py`](azure_ai_basic.py) | The simplest way to create an agent using `AzureAIClient`. Demonstrates both streaming and non-streaming responses with function tools. Shows automatic agent creation and basic weather functionality. |
 | [`azure_ai_use_latest_version.py`](azure_ai_use_latest_version.py) | Demonstrates how to reuse the latest version of an existing agent instead of creating a new agent version on each instantiation using the `use_latest_version=True` parameter. |
+| [`azure_ai_with_azure_ai_search.py`](azure_ai_with_azure_ai_search.py) | Shows how to use Azure AI Search with Azure AI agents to search through indexed data and answer user questions with proper citations. Requires an Azure AI Search connection and index configured in your Azure AI project. |
 | [`azure_ai_with_code_interpreter.py`](azure_ai_with_code_interpreter.py) | Shows how to use the `HostedCodeInterpreterTool` with Azure AI agents to write and execute Python code for mathematical problem solving and data analysis. |
 | [`azure_ai_with_existing_agent.py`](azure_ai_with_existing_agent.py) | Shows how to work with a pre-existing agent by providing the agent name and version to the Azure AI client. Demonstrates agent reuse patterns for production scenarios. |
 | [`azure_ai_with_existing_conversation.py`](azure_ai_with_existing_conversation.py) | Demonstrates how to use an existing conversation created on the service side with Azure AI agents. Shows two approaches: specifying conversation ID at the client level and using AgentThread with an existing conversation ID. |

python/samples/getting_started/agents/azure_ai/azure_ai_with_azure_ai_search.py

@@ -0,0 +1,50 @@
+# Copyright (c) Microsoft. All rights reserved.
+import asyncio
+import os
+
+from agent_framework.azure import AzureAIClient
+from azure.identity.aio import AzureCliCredential
+
+"""
+Azure AI Agent with Azure AI Search Example
+
+This sample demonstrates usage of AzureAIClient with Azure AI Search
+to search through indexed data and answer user questions about it.
+
+Prerequisites:
+1. Set AZURE_AI_PROJECT_ENDPOINT and AZURE_AI_MODEL_DEPLOYMENT_NAME environment variables.
+2. Ensure you have an Azure AI Search connection configured in your Azure AI project
+    and set AI_SEARCH_PROJECT_CONNECTION_ID and AI_SEARCH_INDEX_NAME environment variable.
+"""
+
+
+async def main() -> None:
+    async with (
+        AzureCliCredential() as credential,
+        AzureAIClient(async_credential=credential).create_agent(
+            name="MySearchAgent",
+            instructions="""You are a helpful assistant. You must always provide citations for
+            answers using the tool and render them as: `[message_idx:search_idx†source]`.""",
+            tools={
+                "type": "azure_ai_search",
+                "azure_ai_search": {
+                    "indexes": [
+                        {
+                            "project_connection_id": os.environ["AI_SEARCH_PROJECT_CONNECTION_ID"],
+                            "index_name": os.environ["AI_SEARCH_INDEX_NAME"],
+                            # For query_type=vector, ensure your index has a field with vectorized data.
+                            "query_type": "simple",
+                        }
+                    ]
+                },
+            },
+        ) as agent,
+    ):
+        query = "Tell me about insurance options"
+        print(f"User: {query}")
+        result = await agent.run(query)
+        print(f"Result: {result}\n")
+
+
+if __name__ == "__main__":
+    asyncio.run(main())