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Multidimensional Online Resource Allocation for Large Language Model Services under Nonstationary Demand
We study multidimensional online generalized assignment under nonstationary arrivals, motivated by resource allocation for large language model agent services. Providers may commit model and tool allowances to agent tasks upon admission, reserving budgets for their internal execution loops. Each req
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