How to Connect Any AI Model to Your Chatbot

Amidst the rapid pace of AI development with frequent releases of new language models like Claude 3.7 and GPT-4.5, developers face challenges in keeping their applications up-to-date. To address this, an LLM-agnostic architecture is proposed, allowing developers to seamlessly switch between different language models without rewriting code. This architecture, exemplified by Stream's chatbot UI integration, involves several key patterns: interface abstraction, response handlers, factory creation, event-driven communication, and lifecycle management. By separating concerns and abstracting provider-specific details, developers can build robust, modular chatbots that handle errors gracefully, manage conversation history effectively, and provide a responsive user interface. This approach not only future-proofs applications against the fast-paced advancements in AI but also enhances the ability to integrate new models quickly, ensuring adaptability and scalability in production environments.