This session will delve into the architecture and development of plugins for Large Language Models (LLMs). We'll explore the key considerations in designing and implementing plugins, with a focus on enhancing the functionality and performance of LLMs. We'll provide practical demonstrations, share experiences from real-world implementations, and discuss the challenges encountered. This session is designed for developers seeking to expand their skills and understanding in developing plugins for LLMs.