Building Chatbots with GPT and WebSockets

Modern chatbots require low-latency interactions and dynamic state management. By combining GPT APIs with WebSocket technology, developers can create seamless, conversational AI tools. WebSockets maintain persistent connections that enable streaming responses, unlike REST APIs. This allows for token-by-token delivery and immediate feedback to the user. The frontend manages UI state and message history, while the backend handles authentication, message routing, and context aggregation. Combining this with vector-based context retrieval results in intelligent, real-time assistants suitable for support, onboarding, and internal tools. Open-source solutions like LangChain and Rasa offer modular chatbot frameworks with streaming support.