Show HN: llmnop – Rust CLI for benchmarking LLM endpoints (github.com)

The introduction of "llmnop," a new benchmarking CLI tool developed in Rust, allows users to assess the performance of large language model (LLM) inference endpoints compatible with OpenAI APIs. This tool measures critical metrics like time-to-first-token, inter-token latency, throughput, and overall end-to-end latency. With a straightforward installation process via Homebrew or a shell script, llmnop aims to simplify performance evaluation for developers integrating AI models into their applications. This tool's significance lies in its ability to enhance the transparency and efficiency of model assessments within the AI/ML community. By providing detailed insights into model performance—including the option to conduct concurrent requests and customize request parameters—llmnop facilitates extensive testing and comparison across various models. Additionally, its ability to output results in JSON format allows for easy integration into automated pipelines, making it a valuable resource for researchers and developers striving to optimize LLM implementations.