Provides a unified interface to interact with multiple Large Language Model (LLM) APIs. The package supports text generation, embeddings, and parallelization. Users can switch between different LLM providers seamlessly within R workflows, or call multiple models in parallel. The package enables creation of LLM agents for automated tasks and provides consistent error handling across all supported APIs. APIs include 'OpenAI' (see <https://platform.openai.com/docs/overview> for details), 'Anthropic' (see <https://docs.anthropic.com/en/api/getting-started> for details), 'Groq' (see <https://console.groq.com/docs/api-reference> for details), 'Together AI' (see <https://docs.together.ai/docs/quickstart> for details), 'DeepSeek' (see <https://api-docs.deepseek.com> for details), 'Gemini' (see <https://aistudio.google.com> for details), and 'Voyage AI' (see <https://docs.voyageai.com/docs/introduction> for details).
| Version: | 0.3.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | httr2, purrr, dplyr, rlang, memoise, future, future.apply, tibble |
| Suggests: | testthat (≥ 3.0.0), roxygen2 (≥ 7.1.2), httptest2, progressr, knitr, rmarkdown, ggplot2 |
| Published: | 2025-05-27 |
| DOI: | 10.32614/CRAN.package.LLMR |
| Author: | Ali Sanaei [aut, cre] |
| Maintainer: | Ali Sanaei <sanaei at uchicago.edu> |
| BugReports: | https://github.com/asanaei/LLMR/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/asanaei/LLMR |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | LLMR results |
| Reference manual: | LLMR.pdf |
| Vignettes: |
Doing Research with Parallel LLM API Calls (source, R code) Presidential Speech Analysis with Embeddings (source, R code) |
| Package source: | LLMR_0.3.0.tar.gz |
| Windows binaries: | r-devel: LLMR_0.2.5.zip, r-release: LLMR_0.3.0.zip, r-oldrel: LLMR_0.3.0.zip |
| macOS binaries: | r-release (arm64): LLMR_0.3.0.tgz, r-oldrel (arm64): LLMR_0.3.0.tgz, r-release (x86_64): LLMR_0.3.0.tgz, r-oldrel (x86_64): LLMR_0.3.0.tgz |
| Old sources: | LLMR archive |
Please use the canonical form https://CRAN.R-project.org/package=LLMR to link to this page.