The LMCache project is accompanied by a professional-grade testing toolset, lmcache-tests, to help users verify the performance of the system in various real-world scenarios. The toolset can simulate typical workloads such as generating multi-round conversations and retrieval-enhanced generation (RAG), and quantitatively evaluate key metrics such as cache hit rate and inference latency reduction through detailed metrics collection and CSV format results output. The test environment preparation script (prepare_environment.sh) automatically configures the required dependencies, while the main program supports running specific test cases and generating visual reports. This set of tools not only simplifies the performance tuning process, but also provides business users with a reliable basis for technology selection evaluation.
This answer comes from the articleLMCache: A Key-Value Cache Optimization Tool for Accelerating Reasoning on Large Language ModelsThe
