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1.6 KiB
1.6 KiB
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 OpenAI.
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
UriContentto 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
- Azure OpenAI Integration: Uses AzureOpenAI LLM agents
Prerequisites
Before running this sample, ensure you have:
- An Azure OpenAI project set up
- A compatible model deployment (e.g., gpt-4o)
- Azure CLI installed and authenticated
Environment Variables
Set the following environment variables:
$env:AZURE_OPENAI_ENDPOINT="https://your-resource.openai.azure.com/" # Replace with your Azure OpenAI endpoint
$env:AZURE_OPENAI_DEPLOYMENT_NAME="gpt-4o" # Replace with your model deployment name (optional, defaults to gpt-4o)
Run the sample
Navigate to the sample directory and run:
cd Agent_Step08_UsingImages
dotnet run
Expected behavior
The sample will:
- Create a vision-enabled agent named "VisionAgent"
- Send a message containing both text ("What do you see in this image?") and a Uri image of a green walk
- The agent will analyze the image and provide a description
- Clean up resources by deleting the thread and agent