samples update (#43879)

* Samples update

* resolved comment

* update

Author: howieleung

sdk/ai/azure-ai-projects/samples/agents/tools/sample_agent_bing_grounding.py

@@ -31,10 +31,8 @@
     3) BING_PROJECT_CONNECTION_ID - The Bing project connection ID, as found in the "Connections" tab in your Azure AI Foundry project.
 """
 
-from asyncio import events
 import os
 from dotenv import load_dotenv
-from azure.ai.projects.models._models import ResponseCompletedEvent
 from azure.identity import DefaultAzureCredential
 from azure.ai.projects import AIProjectClient
 from azure.ai.projects.models import (
@@ -100,7 +98,6 @@
         elif event.type == "response.completed":
             print(f"\nFollow-up completed!")
             print(f"Full response: {event.response.output_text}")
-        print(event)
 
     print("\nCleaning up...")
     project_client.agents.delete_version(agent_name=agent.name, agent_version=agent.version)

sdk/ai/azure-ai-projects/samples/assets/image_input.png

@@ -0,0 +1,77 @@
+# ------------------------------------
+# Copyright (c) Microsoft Corporation.
+# Licensed under the MIT License.
+# ------------------------------------
+
+"""
+DESCRIPTION:
+    This sample demonstrates how to run a responses operation with image input
+    using the synchronous AIProject and OpenAI clients. The sample shows how to
+    send both text and image content to a model for analysis.
+
+    See also https://platform.openai.com/docs/api-reference/responses/create?lang=python
+
+USAGE:
+    python sample_responses_image_input.py
+
+    Before running the sample:
+
+    pip install "azure-ai-projects>=2.0.0b1" openai azure-identity python-dotenv
+
+    Set these environment variables with your own values:
+    1) AZURE_AI_PROJECT_ENDPOINT - The Azure AI Project endpoint, as found in the Overview
+       page of your Azure AI Foundry portal.
+    2) AZURE_AI_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.
+"""
+
+import os
+import base64
+from dotenv import load_dotenv
+from azure.identity import DefaultAzureCredential
+from azure.ai.projects import AIProjectClient
+
+load_dotenv()
+
+project_client = AIProjectClient(
+    endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+    credential=DefaultAzureCredential(),
+)
+
+
+def image_to_base64(image_path: str) -> str:
+    if not os.path.isfile(image_path):
+        raise FileNotFoundError(f"File not found at: {image_path}")
+
+    try:
+        with open(image_path, "rb") as image_file:
+            file_data = image_file.read()
+        return base64.b64encode(file_data).decode("utf-8")
+    except Exception as exc:
+        raise OSError(f"Error reading file '{image_path}'") from exc
+
+
+with project_client:
+
+    openai_client = project_client.get_openai_client()
+
+    image_file_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "../assets/image_input.png"))
+
+    response = openai_client.responses.create(
+        input=[
+            {
+                "type": "message",
+                "role": "user",
+                "content": [
+                    {"type": "input_text", "text": "what's in this image?"},
+                    {
+                        "type": "input_image",
+                        "detail": "auto",
+                        "image_url": f"data:image/png;base64,{image_to_base64(image_file_path)}",
+                    },
+                ],
+            }
+        ],
+        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+    )
+    print(f"Response output: {response.output_text}")