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cff-version: 1.2.0
message: 'To cite package "LLMAgentR" in publications use:'
type: software
license: MIT
title: 'LLMAgentR: Language Model Agents in R for AI Workflows and Research'
version: 0.3.2
doi: 10.32614/CRAN.package.LLMAgentR
abstract: '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''.'
authors:
- family-names: Owusu Boakye
  given-names: Kwadwo Daddy Nyame
  email: kwadwo.owusuboakye@outlook.com
repository: https://knowusuboaky.r-universe.dev
repository-code: https://github.com/knowusuboaky/LLMAgentR
commit: fe20d91a4933f54e89150822857fccceceb848d9
url: https://knowusuboaky.github.io/LLMAgentR/
date-released: '2026-02-14'
contact:
- family-names: Owusu Boakye
  given-names: Kwadwo Daddy Nyame
  email: kwadwo.owusuboakye@outlook.com