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Octrafic is an AI-powered CLI tool that enables developers to test APIs using natural language commands instead of writing test scripts, with features like automated testing, PDF reporting, and OpenAPI specification generation.

What is Octrafic
Octrafic is an open-source command-line interface (CLI) tool designed to simplify API testing through natural language interaction. Written in Go, it serves as a lightweight alternative to traditional API testing tools like Postman. The tool operates on a 'bring your own key' (BYOK) model, supporting various AI providers including Claude, OpenAI, OpenRouter, Gemini, Ollama, and llama.cpp, while maintaining a privacy-first approach with no telemetry.
Key Features of Octrafic
Octrafic is an AI-powered CLI tool for API testing that allows developers to test APIs using natural language commands instead of writing test scripts. It features automated test scenario generation, real HTTP request execution, PDF report generation, OpenAPI specification scanning, and supports multiple AI providers including OpenAI, Claude, and local models through Ollama. Natural Language Testing:Describe test scenarios in plain English and let the AI agent automatically break them down into executable test cases Automated PDF Reporting:Generate comprehensive PDF reports of test results with one command for easy sharing with team members OpenAPI Auto-Scanner:Automatically generate OpenAPI 3.1 specifications from source code without manual documentation Multiple LLM Provider Support:Flexibility to use different AI providers including OpenAI, Claude, OpenRouter, or run models locally with Ollama and llama.cpp
Use Cases
Development Testing: Backend developers can quickly test API endpoints during development without writing test scripts CI/CD Integration: DevOps teams can integrate automated API testing into pipelines using headless mode for continuous testing Non-Technical QA Testing: QA engineers without coding experience can effectively test APIs using natural language commands API Documentation Validation: Teams can verify that APIs behave according to their OpenAPI/Swagger specifications
Pros
Open source and free to use forever Lightweight single binary with no runtime dependencies Natural language interface reduces testing complexity
Cons
Requires external AI provider API key Currently in alpha stage with some rough features May not support all complex testing scenarios
How to Use Octrafic
Install Octrafic: Install using one of these methods: - Linux/macOS: curl -fsSL https://octrafic.com/install.sh | bash - Homebrew: brew install octrafic/tap/octrafic - Windows: iex (iwr -useb https://octrafic.com/install.ps1) Configure LLM Provider: Set up your preferred AI provider (required). Options include: - OpenAI - Claude - OpenRouter - Ollama (for local models) - llama.cpp Run octrafic for first-time setup wizard Prepare API Specification: Either: - Use existing OpenAPI/Swagger spec file - Generate spec automatically with 'octrafic scan -p ./your-api-directory' - Provide direct API URL Set Authentication (if needed): Configure API auth using flags: - Bearer token: --auth bearer --token "your-token" - API key: --auth apikey --key X-API-Key --value "your-key" - Basic auth: --auth basic --user admin --pass secret123 Start Testing: Launch Octrafic with: octrafic -u https://your-api.com -s spec.json Describe tests in plain English like: - "test the login endpoint" - "validate user creation" - "check error handling" Review Results: Octrafic will: - Execute the tests - Show pass/fail status - Display response times - Highlight any errors Export Reports (Optional): Generate documentation with: - PDF reports: Use 'Export results as PDF' command - Postman collections export - Python pytest files - Bash curl scripts CI/CD Integration (Optional): For automation pipelines use: octrafic test --url https://api.example.com --spec openapi.json --prompt "test all endpoints" Runs in headless mode with exit codes for CI/CD integration
Octrafic FAQs
1.Is Octrafic really free?
Yes. Octrafic is open source and free to use with no limits. You bring your own LLM API key.
2.Which LLM providers are supported?
OpenAI, Anthropic, and any OpenAI-compatible API (Ollama, LM Studio, etc). Configure via environment variable or project settings.
3.What can I test with Octrafic?
Any HTTP API. You can point it at an OpenAPI spec or just give it a base URL and describe what to test.
4.How does the natural language testing work?
Just describe what you want to test - for example "check if /users returns paginated results". The AI agent figures out what requests to make, runs them, and validates the responses.
5.What are the system requirements?
It's a single binary written in Go that works on Linux, macOS, and Windows with no runtime dependencies.
6.Can Octrafic be used in CI/CD pipelines?
Yes, it has a headless/CI mode that can run non-interactively with 'octrafic test' for pipeline integration.
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