vLLM still hasn’t solved this:
SIE (Self-Inference Engine) is an open-source inference engine that serves models for every agent task through a single API. It replaces the need for separate model servers per task by serving up to 100 different models from one system, loading each on-demand. SIE clusters handle inference for a whole agent, with each task consisting of a handful of swappable models.
Each model name corresponds to a config in the repository, allowing users to swap in any model for production quality. Docker images isolate incompatible model families, and the server supports the OpenAI API out of the box.
Written by urgent.news from Daily Dose of DS's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
