Learn to build a basic recommendation engine using OpenAI's GPT-4o-mini model and tool calling capabilities. Explore how to create a system that suggests clothing items based on user preferences and contextual information. Discover the process of setting up the environment, constructing structured prompts, defining data models with Pydantic, and generating responses using the OpenAI API. Gain insights into implementing key components such as product search prompts, response generation functions, and output formatting. Follow along with example queries to understand how the engine interprets user requests and provides tailored clothing recommendations. This tutorial offers practical knowledge for enhancing online shopping experiences and demonstrates the potential of AI-driven recommendation systems.