Model routing
AI
Model routing sends each step of an AI agent's work to the best-suited model, such as a fast, low-cost one for simple steps and a stronger one for hard ones.
For example, a support agent might use a fast model to read and sort incoming messages and a stronger model to plan a return that involves several items and a partial exchange.
Routing keeps quick answers fast and cheap while saving the stronger, costlier model for the work that needs it.
Stronger models are usually slower and cost more per step. Most steps in a job are simple, so routing them to a faster model saves time and money without hurting the result.
In many agent products you can. In Concierge you pick a default model for each agent and can override it for specific parts of its work.
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