gptstudio is an R package that integrates Large Language Models (LLMs) directly into the RStudio development environment. It functions as both a standalone Shiny application and a suite of RStudio add-ins. The core architecture relies on the {ellmer} package for LLM interactions, abstracting various providers (OpenAI, Anthropic, HuggingFace, etc.) through a unified S3 interface. Key features include a chat interface with conversation history, code commenting, and spelling/grammar checking add-ins. The package demonstrates strong engineering practices with comprehensive testing (shinytest2, testthat), modern UI theming (bslib), and support for streaming responses and audio input. It effectively bridges the gap between RStudio's IDE capabilities and external AI services.
gpttools is an R package that extends RStudio with large language model (LLM) capabilities for R package development. It provides a suite of RStudio addins for tasks such as generating roxygen documentation, suggesting unit tests, converting scripts to functions, and a Copilot-style ghost text writer. The package also includes a retrieval-augmented generation (RAG) system that scrapes documentation, creates embeddings, and indexes them for context-aware chat. It supports multiple AI providers (OpenAI, Anthropic, Perplexity, Cohere, Ollama, Azure OpenAI, Google) via a modular streaming handler pattern, and offers both cloud-based and local (sentence-transformers, Ollama) embedding options. The architecture is a mix of R functions, Shiny apps (settings, retrieval chat, data documentation), and Python integration via reticulate for local models. Key entry points include the addins, the chat() function, chat_with_context() for RAG, and the crawl() function for building indexes. External dependencies include the gptstudio package, various LLM APIs, and a Python environment for local embeddings. While primarily an application, it incorporates data engineering patterns for scraping, chunking, embedding, and indexing documentation.