SWE-Serve: Benchmarking Agentic Engineering For Production Inference Serving· SWE-Serve:生产推理服务代理工程基准测试
We introduce SWE-Serve, a benchmark for evaluating agents on production inference engineering tasks. Implementing an inference feature can require coordinating multiple changes across the serving stack, including model support, runtime execution, and public APIs. Existing benchmarks provide limited coverage of production inference engineering: repository-level software engineering benchmarks do not target inference, while general terminal-agent benchmarks include only a few inference tasks. Dedicated inference benchmarks, meanwhile, focus primarily on isolated kernel generation or performance optimization rather than repository-scale production feature implementation. SWE-Serve provides 53 repository-grounded tasks derived from recent production changes to SGLang, spanning six inference en
提出 SWE-Serve,用于生产推理服务代理工程的基准测试。
- 核心方法
- 设计了 53 个基于真实生产变化的任务,涵盖了模型支持、运行时执行和公共 API 等多个方面。
- 适合谁读
- 研究者、工程师
- 要解决的问题
- 现有基准测试在生产推理工程任务上覆盖有限,缺乏全面性和实际应用性。
- 关键实验
- 任务基于 SGLang 的近期生产变化,涉及六个推理工程领域。
- 主要贡献
- 提供了全面的生产推理工程基准测试,填补了现有基准测试的空白。
- 意义与局限
- 有助于提升代理在生产推理服务中的协调和实施能力,对工业界有重要影响;但任务复杂性可能限制了其应用范围。