AI Configuration and Tokens This section covers the setup and configuration of AI model providers for RoostGPT. To leverage AI-powered test generation, code analysis, and intelligent suggestions, you'll need to configure API keys and tokens for your chosen AI providers. RoostGPT supports multiple AI providers, allowing you to choose the best models for your specific use cases and organizational requirements. OpenAI Step-by-Step Token Generation Access API Keys Section Log into OpenAI Platform Navigate to API Keys in the left sidebar Click "Create new secret key" 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" 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