Agent_Step18_DeepResearch

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:

1. An Azure AI Foundry project set up
2. A deep research model deployment (e.g., o3-deep-research)
3. A model deployment (e.g., gpt-4o)
4. A Bing Connection configured in your Azure AI Foundry project
5. Azure CLI installed and authenticated

Important: Please visit the following documentation for detailed setup instructions:

• Deep Research Tool Documentation
• Research Tool Setup

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"