microsoft--agent-framework/dotnet/samples/02-agents/Agents/Agent_Step08_UsingImages

Using Images with AI Agents

This sample demonstrates how to use image multi-modality with an AI agent. It shows how to create a vision-enabled agent that can analyze and describe images using Microsoft Foundry with AIProjectClient.

What this sample demonstrates

• Creating a persistent AI agent with vision capabilities
• Sending both text and image content to an agent in a single message
• Using UriContent to Uri referenced images
• Processing multimodal input (text + image) with an AI agent

Key features

• Vision Agent: Creates an agent specifically instructed to analyze images
• Multimodal Input: Combines text questions with image uri in a single message
• Microsoft Foundry Integration: Uses AIProjectClient to create a Foundry-backed agent

Prerequisites

Before running this sample, ensure you have:

1. A Microsoft Foundry project set up
2. A compatible model deployment (e.g., gpt-5.4-mini)
3. Azure CLI installed and authenticated

Environment Variables

Set the following environment variables:

$env:FOUNDRY_PROJECT_ENDPOINT="https://<your-project>.services.ai.azure.com/api/projects/<your-project>" # Replace with your Foundry project endpoint
$env:FOUNDRY_MODEL="gpt-5.4-mini" # Replace with your model name (optional, defaults to gpt-5.4-mini)

Run the sample

Navigate to the sample directory and run:

cd Agent_Step08_UsingImages
dotnet run

Expected behavior

The sample will:

1. Create a vision-enabled agent named "VisionAgent"
2. Send a message containing both text ("What do you see in this image?") and a Uri image of a green walk
3. The agent will analyze the image and provide a description
4. Clean up resources by deleting the thread and agent