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<Project Sdk="Microsoft.NET.Sdk">
<PropertyGroup>
<OutputType>Exe</OutputType>
<TargetFrameworks>net10.0</TargetFrameworks>
<Nullable>enable</Nullable>
<ImplicitUsings>enable</ImplicitUsings>
</PropertyGroup>
<ItemGroup>
<PackageReference Include="Azure.AI.Projects" />
<PackageReference Include="Azure.Identity" />
</ItemGroup>
<ItemGroup>
<ProjectReference Include="..\..\..\..\src\Microsoft.Agents.AI.AzureAI\Microsoft.Agents.AI.AzureAI.csproj" />
</ItemGroup>
<ItemGroup>
<None Update="Assets\walkway.jpg">
<CopyToOutputDirectory>Always</CopyToOutputDirectory>
</None>
</ItemGroup>
</Project>

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// Copyright (c) Microsoft. All rights reserved.
// This sample shows how to use Image Multi-Modality with an AI agent.
using Azure.AI.Projects;
using Azure.Identity;
using Microsoft.Agents.AI;
using Microsoft.Extensions.AI;
string endpoint = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_ENDPOINT") ?? throw new InvalidOperationException("AZURE_FOUNDRY_PROJECT_ENDPOINT is not set.");
string deploymentName = Environment.GetEnvironmentVariable("AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME") ?? "gpt-4o";
const string VisionInstructions = "You are a helpful agent that can analyze images";
const string VisionName = "VisionAgent";
// Get a client to create/retrieve/delete server side agents with Azure Foundry Agents.
AIProjectClient aiProjectClient = new(new Uri(endpoint), new AzureCliCredential());
// Define the agent you want to create. (Prompt Agent in this case)
AIAgent agent = await aiProjectClient.CreateAIAgentAsync(name: VisionName, model: deploymentName, instructions: VisionInstructions);
ChatMessage message = new(ChatRole.User, [
new TextContent("What do you see in this image?"),
new DataContent(File.ReadAllBytes("assets/walkway.jpg"), "image/jpeg")
]);
AgentThread thread = await agent.GetNewThreadAsync();
await foreach (AgentResponseUpdate update in agent.RunStreamingAsync(message, thread))
{
Console.WriteLine(update);
}
// Cleanup by agent name removes the agent version created.
await aiProjectClient.Agents.DeleteAgentAsync(agent.Name);

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# 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 Azure Foundry Agents.
## What this sample demonstrates
- Creating a vision-enabled AI agent with image analysis capabilities
- Sending both text and image content to an agent in a single message
- Using `UriContent` for URI-referenced images
- Processing multimodal input (text + image) with an AI agent
- Managing agent lifecycle (creation and deletion)
## Key features
- **Vision Agent**: Creates an agent specifically instructed to analyze images
- **Multimodal Input**: Combines text questions with image URI in a single message
- **Azure Foundry Agents Integration**: Uses Azure Foundry Agents with vision capabilities
## Prerequisites
Before running this sample, ensure you have:
1. An Azure OpenAI project set up
2. A compatible model deployment (e.g., gpt-4o)
3. Azure CLI installed and authenticated
## Environment Variables
Set the following environment variables:
```powershell
$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure Foundry Project endpoint
$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o" # Replace with your model deployment name (optional, defaults to gpt-4o)
```
## Run the sample
Navigate to the FoundryAgents sample directory and run:
```powershell
cd dotnet/samples/GettingStarted/FoundryAgents
dotnet run --project .\FoundryAgents_Step10_UsingImages
```
## 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-referenced image of a green walkway (nature boardwalk)
3. The agent will analyze the image and provide a description
4. Clean up resources by deleting the agent