Quick Setup Guide¶

Welcome to the Customer Service AI Agent workshop! Let's get your environment ready for development.

Prerequisites Check (5 minutes)¶

1. Azure Account Setup

   # Login to Azure
   az login
   
   # Set subscription
   az account set --subscription <your-subscription-id>
   

2. Python Environment

   # Check Python version (3.8 or later required)
   python --version
   
   # Install required packages
   pip install azure-identity azure-ai-projects azure-ai-inference azure-ai-evaluation azure-ai-contentsafety azure-monitor-opentelemetry
   

Project Setup (10 minutes)¶

1. Create AI Foundry Project

   from azure.identity import DefaultAzureCredential
   from azure.ai.resources import AIProjectClient
   
   # Initialize client
   credential = DefaultAzureCredential()
   client = AIProjectClient(
       subscription_id="your-subscription-id",
       resource_group="your-resource-group",
       credential=credential
   )
   
   # Create project
   project = client.projects.create(
       name="customer-service-agent",
       description="AI-powered customer service agent"
   )
   

2. Verify Access

   # Test connection
   models = client.models.list()
   print("Available models:", len(models))
   

Environment Variables¶

Set these required variables:

export AZURE_SUBSCRIPTION_ID="your-subscription-id"
export AZURE_RESOURCE_GROUP="your-resource-group"

Interactive Setup Notebook¶

For a hands-on environment setup experience, you can use our interactive Jupyter notebook:

Launch Environment Setup Notebook

This notebook will guide you through: - Installing required packages - Setting up Azure authentication - Initializing the AI Project client - Verifying access to models

What's Next?¶

In this workshop, you'll: 1. Deploy a GPT model for customer service 2. Create an intelligent support agent 3. Evaluate and monitor performance

Let's start by accessing AI Foundry to deploy our model!