- vLLM Semantic Router enables collaborative micro-agents within a single model API call, enhancing AI inference by orchestrating multiple models.
- The router acts as an active serving layer, selecting optimal collaboration patterns like Confidence, Ratings, ReMoM, Fusion, or Workflows based on request analysis.
- Key benefits include cost savings, safety enforcement, and improved performance without exposing complexity to users, maintaining a single API surface.
- Evaluation on benchmarks like LiveCodeBench, GPQA-Diamond, and Humanity's Last Exam shows competitive or superior results compared to frontier models.
- The approach shifts AI infrastructure from passive model serving to programmable, observable collaboration, integrating open and closed models under one abstraction.