Computer Vision with Large Language Models R package kuzco version 0.1.0 Make computer vision tasks approachable in R by leveraging Large Language Models. Providing fine-tuned prompts, boilerplate functions, and input/output helpers for common computer vision workflows, such as classifying and describing images. Functions are designed to take images as input and return structured data, helping users build practical applications with minimal code. Software Depends: R (>= 4.1.0) Imports: dplyr, ellmer, graphics, gt, gtExtras, imager, jsonlite, magick, ollamar, rlang, stringr, tidyr, utils Suggests: knitr, quarto, shiny, bslib, rmarkdown, purrr, mirai, tibble, tictoc, httr Frank Hull <frankiethull@gmail.com> Comprehensive R Archive Network (CRAN) Frank Hull [aut, cre, cph], Johannes Breuer [ctb] (ORCID: <https://orcid.org/0000-0001-5906-7873>), Jordi Rosell [ctb] (ORCID: <https://orcid.org/0000-0002-4349-1458>) MIT + file LICENSE (https://CRAN.R-project.org/package=kuzco/LICENSE) 2026-01-26 application/tgz https://CRAN.R-project.org/package=kuzco doi:10.32614/CRAN.package.kuzco