Justin Angelo Villacorta@justin_angelo_v_villacorta737

APREP (Agent PREParation / Agent PRompt Evaluation Platform) is a semi-automated AI agent evaluation platform designed to help developers test whether their LLMs and AI agents truly meet their intended behavior, safety, and performance requirements. Modern AI agents are often tested manually through frontends or raw API requests, making evaluation repetitive, inconsistent, and difficult to benchmark over time. APREP solves this by providing a structured evaluation workflow where developers can register AI agent REST endpoints, upload prompt files, generate AI-powered evaluation questions, and run behavioral assessments automatically. The platform evaluates required traits such as security, honesty, speed, prompt adherence, and semantic accuracy while also supporting customizable evaluation flows through reusable question arsenals. The platform uses Next.js for the frontend, FastAPI for backend services, PostgreSQL for persistent evaluation history, and Ollama Cloud for AI-assisted question generation and evaluation. APREP generates detailed reports containing scores, response analysis, prompt versions, evaluation summaries, and historical comparisons to help developers monitor and improve their agents more efficiently.

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