LLMAgentR0.3.0 package

Language Model Agents in R for AI Workflows and Research

build_code_agent

Build an R Code-Generation Agent

build_data_cleaning_agent

Build a Data Cleaning Agent

build_data_wrangling_agent

Build a Data Wrangling Agent

build_doc_summarizer_agent

Build a Document Summarizer Agent

build_feature_engineering_agent

Build a Feature Engineering Agent

build_forecasting_agent

Build a Time Series Forecasting Agent

build_interpreter_agent

Build an Interpreter Agent

build_researcher_agent

Build a Web Researcher Agent

build_sql_agent

Build a SQL Agent Graph

build_visualization_agent

Build Visualization Agent

build_weather_agent

Build a Weather Agent

Download source packageRead PDF manual

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'.

  • Maintainer: Kwadwo Daddy Nyame Owusu Boakye
  • License: MIT + file LICENSE
  • Last published: 2025-05-20

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