Decision router keeps 4/5 classifications on local models, dev shares measured results
Smooth_Two8781 · reddit · 2026-10-15
A Reddit developer shared a decision-router setup that sends most classification requests to local small models and escalates only the hard cases: about 4 out of 5 classifications stayed local in their measurements.
The post covers the routing design and measured trade-offs, showing how a "local-first, escalate-on-need" pattern can cut cost and latency without hurting classification quality — useful reference for agent orchestration and inference cost optimization.
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