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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:

  1. A Microsoft Foundry project set up
  2. A deep research model deployment (e.g., o3-deep-research)
  3. A model deployment (e.g., gpt-5.4-mini)
  4. A Bing Connection configured in your Microsoft Foundry project
  5. 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 Grounding Connection ID must be the full ARM resource URI from the project, not just the connection name. It has the following format:

/subscriptions/<sub-id>/resourceGroups/<rg>/providers/Microsoft.CognitiveServices/accounts/<account>/projects/<project>/connections/<connection-name>

You can find this in the Microsoft Foundry portal under Management > Connected resources, or retrieve it programmatically via the connections API (.id property).

Environment Variables

Set the following environment variables:

# Replace with your Microsoft Foundry project endpoint
$env:AZURE_AI_PROJECT_ENDPOINT="https://your-project.services.ai.azure.com/"

# Replace with your Bing Grounding connection ID (full ARM resource URI)
$env:AZURE_AI_BING_CONNECTION_ID="/subscriptions/<sub-id>/resourceGroups/<rg>/providers/Microsoft.CognitiveServices/accounts/<account>/projects/<project>/connections/<connection-name>"

# Optional, defaults to o3-deep-research
$env:AZURE_AI_REASONING_DEPLOYMENT_NAME="o3-deep-research"

# Optional, defaults to gpt-5.4-mini
$env:AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-5.4-mini"