Build Multi-Model LangGraph Agents with Aegra and vLLM Semantic Router
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Aegra × vLLM Semantic Router — agent runtime meets multi-model routing
Most LangGraph agents hardcode a single LLM. That forces bad tradeoffs: easy turns burn frontier spend, hard turns fail on a small model, and changing the fleet means editing graph code. Enterprises need something different—an agent runtime they own, plus a model decision layer that can classify each call and send it to the right backend.
This post shows how those layers fit together: Aegra for self-hosted Agent Protocol / LangGraph serving, and vLLM Semantic Router for programmable multi-model routing.