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This shifts the workload in two ways: (1) agents act only on complete responses, making the cluster's tokens per second (TPS) the primary goal and relaxing--not eliminating--per-token latency requirements; and (2) requests share much of their KV\\$-reuse exceeds 80% of request tokens in a production trace from BAILIAN, versus 54-62% in chat.\n  This paper first contributes a systematic study of request scheduling for agents on two real-world traces. We find that to increase KV\\$ reuse, existing schedulers overly prioritize routing requests to instances caching their KV\\$, overloading a few while leaving the rest idle, capping TPS. 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