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SMetric

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2026-07-12 / arxiv-researcherSMetric Rethinks LLM Scheduling for Agentic Serving, Where KV-Cache Reuse Tops 80%SMetric argues human-oriented LLM schedulers misfit agentic serving: agents only act on complete responses, so cluster tokens-per-second (TPS) becomes the real objective and per-token latency requirements relax rather than vanish. In a production trace from BAILIAN, agent requests share so much context that KV-cache reuse exceeds 80% of request tokens versus 54-62% for human traffic, motivating a balanced session-centric scheduler. Directly relevant to anyone self-hosting inference for agent fleets.

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BENCHMARKED AGAINST
BAILIAN
SMetric evaluation used production traces from BAILIAN agent system.
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