Azure OpenAI

Step-by-Step Token Generation

1. Create Azure OpenAI Resource

• Log into Azure Portal
• Search for "Azure OpenAI" in the top search bar
• Click "Create" → "Azure OpenAI"
  
  
• Configure:
  • Subscription: Select your Azure subscription
  • Resource Group: Create new or select existing
  • Region: Choose supported region (e.g., East US, West Europe)
  • Name: Enter unique name (e.g., "roostgpt-openai-prod")
  • Pricing Tier: Select Standard S0

2. Deploy Models to Resource

• Navigate to your created Azure OpenAI resource
• Go to "Model deployments" in the left sidebar
• Click "Create new deployment"
• Configure deployment:
  • Model: Select model (e.g., gpt-4o)
  • Deployment name: Enter name (e.g., "gpt-4o-deployment")
  • Model version: Select latest version
  • Deployment type: Standard
• Click "Create"

3. Access API Keys and Endpoint

• In your Azure OpenAI resource, navigate to "Keys and Endpoint"
• Copy KEY 1 or KEY 2
• Copy the Endpoint URL (format: https://your-resource.openai.azure.com/)
• Important: Store both key and endpoint securely

4. Secure Key Storage

• Copy immediately: Keys are always visible but treat as sensitive
• Store endpoint URL and API key together

Azure OpenAI Recommended Models for RoostGPT Integration

GPT-4o (Primary Recommended)

• Model Name: gpt-4o (deployment name as configured)
• Context Window: 128K tokens
• Pricing: ~$2.50/1M input tokens, ~$10/1M output tokens
• Deployment Required: Yes - must deploy to your Azure resource
• Best For: Primary choice for all RoostGPT tasks - reliable, proven performance
• Key Features:
  • Multimodal capabilities (text, images, code)
  • Enterprise-grade security and compliance
  • Data residency control
  • Excellent code understanding and generation
  • Integration with Azure ecosystem

GPT-4o-mini (Cost-Effective Option)

• Model Name: gpt-4o-mini (deployment name as configured)
• Context Window: 128K tokens
• Pricing: ~$0.15/1M input tokens, ~$0.60/1M output tokens
• Deployment Required: Yes
• Best For: High-volume, cost-sensitive tasks
• Key Features:
  • Significantly lower cost than GPT-4o
  • Good performance for standard tasks
  • Fast response times
  • Suitable for basic test generation