Azure AI Interface Cookbook

Note: Fork and clone this repository if needed

Note: This cookbook is for the Azure AI Interface model. It uses the AzureAIFoundry class with the Phi-4 model. Please change the model ID to the one you want to use.

1. Create and activate a virtual environment

python3 -m venv ~/.venvs/aienv
source ~/.venvs/aienv/bin/activate

2. Export environment variables

Navigate to the Azure AI Foundry on the Azure Portal and create a service. Then, using the Azure AI Foundry portal, create a deployment and set your environment variables.

export AZURE_API_KEY=***
export AZURE_ENDPOINT="https://<your-host-name>.services.ai.azure.com/models"
export AZURE_API_VERSION="2024-05-01-preview"

You can get the endpoint from the Azure AI Foundry portal. Click on the deployed model and copy the "Target URI"

3. Install libraries

uv pip install -U openai ddgs duckdb yfinance agno

4. Run basic Agent

• Streaming on

python cookbook/92_models/azure/openai/basic_stream.py

• Streaming off

python cookbook/92_models/azure/openai/basic.py

5. Run Agent with Tools

• DuckDuckGo Search

python cookbook/92_models/azure/openai/tool_use.py

6. Run Agent that returns structured output

python cookbook/92_models/azure/openai/structured_output.py

7. Run Agent that uses storage

python cookbook/92_models/azure/openai/storage.py

8. Run Agent that uses knowledge

python cookbook/92_models/azure/openai/knowledge.py