AI Configuration and Tokens

• OpenAI
• Azure OpenAI
• Claude AI
• Google Vertex AI
• AWS Bedrock

OpenAI

Step-by-Step Token Generation

1. Access API Keys Section
   • Log into OpenAI Platform
   • Navigate to API Keys in the left sidebar
     
     
   • Click "Create new secret key"
     
     
2. Configure Key Settings
   • Name: Enter descriptive name (e.g., "RoostGPT Production")
   • Permissions: Select "All"
   • Project: Choose specific project (if using project-based organization)
   • Click "Create secret key"
     
     
3. Secure Key Storage
   • Copy immediately: Key shown only once

OpenAI Recommended Models for RoostGPT Integration

GPT-4o (Primary Recommended)

• Model Name: gpt-4o
• Context Window: 128K tokens
• Pricing: ~$2.50/1M input tokens, ~$10/1M output tokens
• Best For: Primary choice for all RoostGPT tasks - reliable, proven performance
• Key Features:
  • Multimodal capabilities (text, images, code)
  • Well-tested and stable in production
  • Excellent code understanding and generation
  • Strong performance across diverse tasks
  • Widely adopted and documented

GPT-5 (Advanced Alternative)

• Model Name: gpt-5
• Context Window: 272K tokens GPT-5: Key characteristics, pricing and model card
• Pricing: $1.25/1M input tokens, $10/1M output tokens Introducing GPT‑5 for developers | OpenAI
• Best For: Complex reasoning tasks, advanced code analysis
• Key Features:
  • Built-in reasoning capabilities Introducing GPT-5 | OpenAI
  • Enhanced coding performance Introducing GPT‑5 for developers | OpenAI
  • Larger context window for complex codebases
  • Latest generation technology

GPT-4.1 (Balanced Option)

• Model Name: gpt-4.1
• Context Window: Similar to GPT-4o
• Pricing: Competitive with GPT-4o
• Best For: Enhanced performance when GPT-4o needs upgrade
• Key Features:
  • Improved over GPT-4o baseline
  • Good balance of cost and capability
  • Reliable for standard development tasks

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

Claude AI

Step-by-Step Token Generation 

1. Create Anthropic Account

• Visit console.anthropic.com
• Click "Sign Up" or "Get Started"
• Complete registration with email verification
• Log into the Anthropic Console dashboard

2. Access API Keys Section

• Navigate to "API keys" in the left sidebar

3. Create New API Key

• Click the "Create API key" button (or similar)
• A dialog box will appear with two simple fields:

4. Configure Key Settings

• Create in Workspace: Select your workspace from dropdown
  • Choose "Default" or your specific workspace
• Name your key: Enter descriptive name
  • Example: "RoostGPT-Production", "Testing-Environment", etc.
    
    
• Click "Add" button

5. Secure Key Storage

• Copy immediately: The full API key will be displayed once
• The key will start with sk-ant-api03- format

Anthropic Claude Recommended Models for RoostGPT Integration

Claude Sonnet 4 (Primary Recommended)

• Model Name: claude-sonnet-4-20250514
• Context Window: 200K tokens (1M tokens available with beta header)
• Max Output: 64,000 tokens
• Latency: Fast
• Training Data: March 2025
• Pricing: $3/1M input tokens, $15/1M output tokens
• Best For: Primary choice for all RoostGPT tasks - optimal balance of performance, speed, and cost
• Key Features:
  • High intelligence with balanced performance
  • Extended thinking capabilities for complex reasoning
  • Multimodal support (text and vision)
  • Large output capacity ideal for comprehensive code generation
  • Fast response times suitable for interactive development

Claude Opus 4.1 (Premium Alternative)

• Model Name: claude-opus-4-1-20250805
• Context Window: 200K tokens
• Max Output: 32,000 tokens
• Latency: Moderately Fast
• Training Data: March 2025
• Pricing: $15/1M input tokens, $75/1M output tokens
• Best For: Most demanding tasks requiring highest intelligence
• Key Features:
  • Highest level of intelligence and capability
  • Most advanced extended thinking capabilities
  • Superior performance on complex engineering problems
  • Latest training data (most recent model)
  • Best choice for critical analysis and complex debugging

Claude Haiku 3.5 (Speed & Cost Optimized)

• Model Name: claude-3-5-haiku-20241022
• Context Window: 200K tokens
• Max Output: 8,192 tokens
• Latency: Fastest
• Training Data: July 2024
• Pricing: $0.25/1M input tokens, $1.25/1M output tokens
• Best For: High-volume, speed-critical tasks
• Key Features:
  • Fastest response times in the Claude family
  • Intelligence at blazing speeds
  • Most cost-effective for bulk operations
  • Multimodal capabilities maintained
  • No extended thinking (optimized for speed)

Google Vertex AI

AWS Bedrock