Shadow Deployment

A shadow deployment runs a new model or prompt configuration in parallel with the production system on live traffic, capturing its outputs for offline analysis without serving them to users. Shadow mode allows teams to compare candidate model quality against the incumbent on real queries without any user-facing risk. It is especially valuable for evaluating large model upgrades where offline benchmark results may not reflect production query diversity or distribution.