Ren Finlayson
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What this sample demonstrates
This sample demonstrates how to create an Azure AI Agent with the Deep Research Tool, which leverages the o3-deep-research reasoning model to perform comprehensive research on complex topics.
Key features:
- Configuring and using the Deep Research Tool with Bing grounding
- Creating a persistent AI agent with deep research capabilities
- Executing deep research queries and retrieving results
Prerequisites
Before running this sample, ensure you have:
- An Azure AI Foundry project set up
- A deep research model deployment (e.g., o3-deep-research)
- A model deployment (e.g., gpt-4o)
- A Bing Connection configured in your Azure AI Foundry project
- Azure CLI installed and authenticated
Important: Please visit the following documentation for detailed setup instructions:
Pay special attention to the purple Note boxes in the Azure documentation.
Note: The Bing Connection ID must be from the project, not the resource. It has the following format:
/subscriptions/<sub_id>/resourceGroups/<rg_name>/providers/<provider_name>/accounts/<account_name>/projects/<project_name>/connections/<connection_name>
Environment Variables
Set the following environment variables:
# Replace with your Azure AI Foundry project endpoint
$env:AZURE_FOUNDRY_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/"
# Replace with your Bing connection ID from the project
$env:BING_CONNECTION_ID="/subscriptions/.../connections/your-bing-connection"
# Optional, defaults to o3-deep-research
$env:AZURE_FOUNDRY_PROJECT_DEEP_RESEARCH_DEPLOYMENT_NAME="o3-deep-research"
# Optional, defaults to gpt-4o
$env:AZURE_FOUNDRY_PROJECT_DEPLOYMENT_NAME="gpt-4o"