Is it agentic enough? Benchmarking open models on your own tooling

BuzzRadr Trending Topics: A new benchmark evaluates how efficiently open models, specifically coding agents, utilize software libraries like transformers. Traditional benchmarks only assess final answers, but this new approach measures the entire process, including the effort an agent expends. The goal is to optimize library design for agentic use, emphasizing clear APIs, extensive documentation, and agent-specific testing to reduce costs, latency, and token usage. The evaluation uses a harness with the pi coding agent across various models, revisions, and tasks on Hugging Face Jobs.