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chatRater: A Tool for Rating Text/Image/Audio Stimuli via 'LLMs'

Evaluates stimuli using Large Language Models. Supports multiple LLM providers: 'OpenAI', 'Anthropic', 'Ollama', 'LM Studio', 'DeepSeek', 'Groq', 'Mistral', and 'OpenAI-compatible' endpoints. Stimuli: plain text, local image/audio files, or image URLs. Audio is transcribed via 'OpenAI Whisper' before rating. Supports numeric, text, and raw return types.

Version: 1.3.0
Depends: R (≥ 4.1.0)
Imports: base64enc, tools, httr2, curl, jsonlite
Suggests: llmcoder (≥ 1.2.0), testthat (≥ 3.0.0)
Published: 2026-05-14
DOI: 10.32614/CRAN.package.chatRater
Author: Shiyang Zheng [aut, cre]
Maintainer: Shiyang Zheng <Shiyang.Zheng at nottingham.ac.uk>
BugReports: https://github.com/ShiyangZheng/chatRater/issues
License: MIT + file LICENSE
URL: https://github.com/ShiyangZheng/chatRater
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: chatRater results

Documentation:

Reference manual: chatRater.html , chatRater.pdf

Downloads:

Package source: chatRater_1.3.0.tar.gz
Windows binaries: r-devel: chatRater_1.3.0.zip, r-release: chatRater_1.3.0.zip, r-oldrel: chatRater_1.3.0.zip
macOS binaries: r-release (arm64): chatRater_1.3.0.tgz, r-oldrel (arm64): chatRater_1.3.0.tgz, r-release (x86_64): chatRater_1.3.0.tgz, r-oldrel (x86_64): chatRater_1.3.0.tgz
Old sources: chatRater archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=chatRater to link to this page.

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.
Health stats visible at Monitor.