What is LLM routing?
A decision layer that sends each prompt or task to the model most likely to satisfy quality, latency, cost, privacy, and tool requirements.
Why is this important?
Routing prevents a single expensive model from handling every request and lets teams enforce provider, safety, residency, and fallback policies.
How it works
The router extracts request signals, scores eligible models, applies policy constraints, selects a target, records the decision, and evaluates the result.
Technical example
Route password resets to a fast model, contract analysis to a reasoning model, and regulated data to a private deployment.
Implementation notes
Track router accuracy, tail latency, cost per successful task, fallback rate, and drift. Keep deterministic overrides for sensitive workloads.
