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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"
    Screenshot 2025-09-08 at 1.48.55 PM.png
  • 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
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