ParetoBandit uses contextual bandits with an online primal-dual budget pacer and geometric forgetting to enforce cost ceilings and adapt to non-stationary pricing and quality shifts in LLM serving, achieving 0.4% budget compliance and up to 0.071 quality lift on 1824 prompts.
On the validation split, we sweep log-spaced budget targets with the BudgetPacer active, build per-seed Pareto fron- tiers, and compute the area under each frontier
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ParetoBandit: Budget-Paced Adaptive Routing for Non-Stationary LLM Serving
ParetoBandit uses contextual bandits with an online primal-dual budget pacer and geometric forgetting to enforce cost ceilings and adapt to non-stationary pricing and quality shifts in LLM serving, achieving 0.4% budget compliance and up to 0.071 quality lift on 1824 prompts.