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_1.2.0.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:

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