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SergeyMenshykh
caf3c4b92d
* move catalog samples to the HostedAgents folder * move the catalog samples' projects to the HostedAgents folder * move deep research sample out of the HostedAgents folder
1.9 KiB
1.9 KiB
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"