How to route external and local LLMs with Models-as-a-Service

This blog post discusses the benefits of using a gateway to manage interactions with multiple AI model providers, highlighting the use of Red Hat's OpenShift AI 3.4 for centralized model routing. It explains challenges faced when integrating different models directly into application code, such as complex debugging and lack of centralized management. The post elaborates on how to deploy an LLM gateway using LiteLLM to streamline model requests through a unified API, enhancing flexibility and efficiency in AI applications.