liveBook · Manning

Intent-based routing

As explained in AI Agents in Action, Second Edition

Intent-based routing classifies a user's request by intent and dispatches it to an appropriate downstream model or agent.

Intent-based routing classifies a user’s request and dispatches it to the downstream model or agent suited to handle it. Because a wrong route can produce a wrong answer regardless of downstream quality, routing accuracy deserves focused measurement. section 8.3.8

Use a measured progression when introducing routing:

  • Start with a frontier model for routing when accuracy matters across diverse inputs. section 8.3.8
  • Consider a routing-specific small language model only after measuring its quality against the frontier-model baseline. section 8.3.8
  • Track cost per session, resolved task, and user before optimizing routing or other cost levers. section 8.3.8

How AI Agents in Action, Second Edition covers it

How deep it goes
Defines classification and dispatch, then addresses model choice and measurement, but does not detail classifier implementation.
What you can do after
Evaluate routing quality and configure model selection using production cost and task-resolution measurements.
How it connects
Connects model routing with downstream agents, frontier models, small language models, cost measurement, and optimization.

Related concepts

This explainer was generated by Manning's knowledge graph from the text of AI Agents in Action, Second Edition. The section links point to the parts of the book it draws on.