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AgentPerfBench: A Benchmarking and Evaluation Suite for Inference Performance of Agentic LLMs
The optimization of LLM serving engines, such as vLLM and SGLang, is largely benchmark-driven: optimizations, scheduling policies, hardware and system designs are all selected based on representative workloads. However, a significant mismatch has emerged in the agentic era. Existing benchmarks prima
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