Package: LLMAgentR Type: Package Title: Language Model Agents in R for AI Workflows and Research Version: 0.3.2 Authors@R: person(given = "Kwadwo Daddy Nyame", family = "Owusu Boakye", email = "kwadwo.owusuboakye@outlook.com", role = c("aut", "cre")) Maintainer: Kwadwo Daddy Nyame Owusu Boakye Description: Provides modular, graph-based agents powered by large language models (LLMs) for intelligent task execution in R. Supports structured workflows for tasks such as forecasting, data visualization, feature engineering, data wrangling, data cleaning, 'SQL', code generation, weather reporting, and research-driven question answering. Each agent performs iterative reasoning: recommending steps, generating R code, executing, debugging, and explaining results. Includes built-in support for packages such as 'tidymodels', 'modeltime', 'plotly', 'ggplot2', and 'prophet'. Designed for analysts, developers, and teams building intelligent, reproducible AI workflows in R. Compatible with LLM providers such as 'OpenAI', 'Anthropic', 'Groq', and 'Ollama'. Inspired by the Python package 'langagent'. License: MIT + file LICENSE Encoding: UTF-8 RoxygenNote: 7.3.2 URL: https://github.com/knowusuboaky/LLMAgentR, https://knowusuboaky.github.io/LLMAgentR/ BugReports: https://github.com/knowusuboaky/LLMAgentR/issues Depends: R (>= 4.1.0) Imports: plotly, stats, utils, DBI, RSQLite, dplyr, glue, httr, officer, purrr, timetk, pdftools, parsnip, recipes, workflows, rsample, modeltime.ensemble, modeltime, xml2 Suggests: testthat (>= 3.0.0), roxygen2, knitr, rmarkdown, jsonlite, magrittr, rlang, tidyr, ggplot2, usethis, prophet, forcats, kernlab, xgboost, xfun, modeltime.resample, tidymodels, tibble, lubridate, methods, tesseract, rvest, fastDummies, stringr Config/pak/sysreqs: cmake libfontconfig1-dev libfreetype6-dev libfribidi-dev make libharfbuzz-dev libicu-dev libjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev libxml2-dev libssl-dev libpoppler-cpp-dev poppler-data libnode-dev libx11-dev Repository: https://knowusuboaky.r-universe.dev Date/Publication: 2026-02-14 19:55:00 UTC RemoteUrl: https://github.com/knowusuboaky/llmagentr RemoteRef: HEAD RemoteSha: fe20d91a4933f54e89150822857fccceceb848d9 NeedsCompilation: no Packaged: 2026-10-08 11:18:26 UTC; root Author: Kwadwo Daddy Nyame Owusu Boakye [aut, cre]