RoostGPT AI Provider Support for Unit, API and Other Tests Overview RoostGPT supports multiple AI providers for comprehensive test generation across unit tests, API tests, Integration Tests, Functional Tests and more. This document outlines the supported providers and their available models. Supported Providers: OpenAI Claude AI (Anthropic) Azure OpenAI Vertex AI (Google Cloud) AWS Bedrock OpenAI Models Model Name Context Window (Tokens) Best For Key Features GPT-5 4 Million Input: 272k Output: 128k Complex test scenarios, enterprise Expert-level intelligence, built-in reasoning GPT-4.5 Large Standard test generation Balanced performance, cost-effective GPT-4o Large Fast test generation Multimodal, real-time processing GPT-4o mini Standard High-volume generation Cost-efficient, fast GPT-4 Turbo 128K tokens Production environments Proven reliability o3 Extended Complex reasoning tasks Advanced chain-of-thought o4-mini Standard Cost-efficient reasoning Faster reasoning model Claude AI (Anthropic) Models Model Name Context Window (Tokens) Best For Key Features Claude Opus 4.1 Input: 200K Output: 32k Complex coding tasks, unit tests Best coding model, 74.5% on SWE-bench Claude Sonnet 4.5 Output: 64k Coding, Finance and CyberSecurity Long running tasks, enhanced domain knowledge and 77.2% on SWE-bench Claude Sonnet 4 200K-1M Output: 64k General test generation Superior coding and reasoning, instruction following Claude Sonnet 3.7 200K tokens Output: 64k Hybrid reasoning tasks Fast and extended thinking modes Claude Sonnet 3.5 200K tokens Output: 8k Legacy support Strong coding capabilities Claude Haiku 3.5 200K tokens Output: 8k Quick, simple tests Fast, cost-effective Azure OpenAI Models Azure OpenAI provides the same OpenAI models with enterprise features. Model Name Context Window Additional Features GPT-5 Series 4 Million Input: 272k Output: 128k VNET integration, Private endpoints GPT-4.5 Large Managed Identity, Regional deployment GPT-4o Series Large SLA guarantees, Azure Monitor GPT-4 Turbo 128K tokens Standard and Provisioned deployments o3, o4-mini Extended/Standard Azure AD authentication Vertex AI (Google Cloud) Models Model Name Context Window (Tokens) Best For Key Features Gemini 2.5 Pro Input: 1024k Output: 64k Complex API testing, large codebases Deep Think mode, long context AWS Bedrock Models AWS Bedrock provides access to multiple foundation models from various providers in a fully managed service. Available Model Families Provider Models Context Window Best For Anthropic Claude Opus 4.1, Sonnet 4, Sonnet 3.7 Output Token - 4K Code generation, unit tests Recommended Models  OpenAI GPT-4o, GPT-5 Azure OpenAI GPT-4o, GPT-5 Claude Claude Sonnet 4.1 Support Resources OpenAI : platform.openai.com/docs Anthropic (Claude) : docs.claude.com Azure OpenAI : learn.microsoft.com/azure/ai-services/openai Vertex AI : cloud.google.com/vertex-ai/docs AWS Bedrock : docs.aws.amazon.com/bedrock