This project showcases a fully functional customer service AI agent that leverages OpenAI’s Autogen framework and a Streamlit front end. It routes user inquiries through a customizable agent pipeline, maintains conversational context, and generates accurate, context-aware responses. Developers can easily clone the repository, set their OpenAI API key, and launch a web UI to test or extend the bot’s capabilities. The codebase includes clear configuration points for prompt design, response handling, and integration with external services, making it a versatile starting point for building support chatbots, helpdesk automations, or internal Q&A assistants.

ReLLM is a powerful API platform designed to help developers create secure and context-aware natural language interfaces. By leveraging large language models (LLMs) like ChatGPT, ReLLM provides contextual information to responses, ensuring users receive accurate and relevant answers to their queries. It simplifies the implementation of LLMs with a focus on security and efficiency, making it a valuable tool for enhancing user interactions and automating customer support and other communication needs.