This topic is an extension of current Large Language Model (LLM)-based honeypots developed in the Stratosphere Lab by incorporating a wider range of services, integrating newer and more advanced language models, including locally hosted ones, and enhancing their deception capabilities. The goal is to create more realistic and adaptive honeypot systems that can effectively engage, mislead, and analyze malicious actors, while leveraging AI and data science to improve threat intelligence and system resilience.