Developer Builds MVP Weather Chatbot Using Node.js and Agentic Tool-Use Architecture

A developer has published Mausam AI, an open-source MVP chatbot built with Node.js that fetches real-time weather, temperature, and humidity data for any city. The project addresses a core limitation of large language models — their lack of real-time data — by integrating an external weather API called wttr.in. The bot uses an agentic loop architecture that forces the AI to follow a strict sequence of steps: START, PLAN, TOOL, and OUTPUT, with all responses structured as JSON. A maximum iteration cap of five cycles is enforced to prevent infinite loops or hallucinations during the tool-calling process. The project is explicitly described as a conceptual demonstration and is not intended for production use, with source code available on GitHub.