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Provides a unified interface to interact with multiple Large Language Model (LLM) APIs. The package supports text generation, embeddings, parallelization, as well as tidyverse integration. 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> 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), 'xAI' (see <https://docs.x.ai/> for details), and 'Voyage AI' (see <https://docs.voyageai.com/docs/introduction> for details).
| Version: | 0.5.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | httr2, purrr, dplyr, tidyr, rlang, memoise, future, future.apply, tibble, base64enc, mime, glue (≥ 1.6.0) |
| Suggests: | testthat (≥ 3.0.0), roxygen2 (≥ 7.1.2), httptest2, progressr, knitr, rmarkdown, ggplot2, R.rsp (≥ 1.19.0) |
| Published: | 2025-07-17 |
| 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.html , LLMR.pdf |
| Vignettes: |
Quick overview of LLMR (source) |
| Package source: | LLMR_0.5.0.tar.gz |
| Windows binaries: | r-devel: LLMR_0.5.0.zip, r-release: LLMR_0.5.0.zip, r-oldrel: LLMR_0.5.0.zip |
| macOS binaries: | r-release (arm64): LLMR_0.5.0.tgz, r-oldrel (arm64): LLMR_0.5.0.tgz, r-release (x86_64): LLMR_0.5.0.tgz, r-oldrel (x86_64): LLMR_0.5.0.tgz |
| Old sources: | LLMR archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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