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.

Threado AI's Agent Assist serves as a powerful AI-driven assistant that streamlines customer service processes. It learns from your company's knowledge base and previous customer engagements, enabling it to provide accurate, context-aware responses in real-time. This tool can be integrated into multiple platforms such as Slack and Microsoft Teams, making it easy for teams to leverage AI assistance without disrupting their workflows. By automating routine inquiries and aggregating crucial information, it enhances productivity and improves the overall customer experience.