Designing the hf CLI as an agent-optimized way to work with the Hub

The Hugging Face CLI (hf CLI) has been redesigned to cater to both human users and coding agents, facilitating interaction with the Hugging Face Hub through efficient command-line operations. The CLI enables a range of tasks such as downloading and uploading models, managing repositories, and running jobs, and its recent updates optimize the output for coding agents like Claude Code and Codex by using environment variables to tailor responses. The CLI's efficiency is demonstrated through benchmarks showing it uses significantly fewer tokens than alternatives like curl or the Python SDK on complex tasks, thus improving performance for tasks involving multiple steps. It also introduces agent-mode outputs and hints to direct subsequent actions, making it suitable for both human and agent interactions. Additionally, the CLI includes features like non-blocking commands, predictable command structures, and a "skill" option that provides a compact reference for command usage, which agents can utilize to improve efficiency. As agents become more prevalent in using the Hub, the hf CLI represents a robust tool that streamlines processes for both agents and their human counterparts.

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