sma-begin sets up a streamlined codebase to create AI-driven agents by abstracting common components like input processing, decision logic, and output generation. At its core, it implements an agent loop that queries an LLM, interprets the response, and optionally executes integrated tools, such as HTTP clients, file handlers, or custom scripts. Memory modules allow the agent to recall previous interactions or context, while prompt chaining supports multi-step workflows. Error handling catches API failures or invalid tool outputs. Developers only need to define the prompts, tools, and desired behaviors. With minimal boilerplate, sma-begin accelerates prototyping of chatbots, automation scripts, or domain-specific assistants on any Python-supported platform.

Solaviewer is an AI-powered platform that allows users to design their own photovoltaic (PV) systems quickly and efficiently. With its user-friendly interface, customers can create PV systems in minutes. Solaviewer also offers features such as analytics to track user interactions and monitor the systems created by visitors. This platform aims to increase conversions by providing a fast and intuitive way for users to visualize their future PV systems.