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chatRater NEWS

chatRater 1.3.0 (2026-05-13)

Major Changes

• Migrated from openai to llmcoder: Core rating for text stimuli now uses llmcoder::call_llm(), enabling multi-provider support (OpenAI, Anthropic, Ollama, LM Studio, DeepSeek, Groq, Mistral, OpenRouter, OpenAI-compatible).
• Local image file support: Images can now be passed as local file paths (base64-encoded) in addition to URLs. Vision-capable models (gpt-4o, etc.) are used automatically for image stimuli.
• Audio support: Local audio files (mp3, wav, ogg, flac, m4a, aac) are now supported; transcribed via OpenAI Whisper before rating.
• return_type parameter: Control output format: "numeric" (default, extract numbers only), "text" (return full text response), "raw" (return unprocessed API response).
• columns parameter (experimental): Select which columns appear in the returned data frame. Available columns: "stim", "rating", "iteration", "scale", "type", "provider", "model". Default NULL returns all columns.

Bug Fixes

• Fixed curl::form_file() usage in Whisper API upload (previously used incorrect httr2 multipart syntax).
• Fixed debug parameter not passed to rate_build_content_blocks(), causing "argument is not interpretable as logical" error when processing audio or image stimuli.

Examples

• Expanded @examples in generate_ratings() and generate_ratings_for_all(): 9 detailed examples covering text (string), image (local file + URL), and audio (local file) stimuli, with both numeric rating and full-text description workflows.

Dependencies

• Imports: llmcoder (>= 1.2.0), base64enc, tools, httr2, curl, jsonlite

chatRater 1.2.0 (2025-08-18)

Changes

• Removed text analysis utilities: get_lexical_coverage(), get_word_frequency(), get_zipf_metric(), get_levenshtein_d(), get_semantic_transparency() have been removed to focus the package on its core rating functionality.
• Simplified API: Only generate_ratings() and generate_ratings_for_all() are now exported.
• Image URL support: Stimuli can now be image URLs (passed to GPT-4 Vision via the openai package).

Dependencies

• Imports: openai, tools

chatRater 1.1.0 (2025-05-01)

Initial CRAN Release

• generate_ratings() for single-stimulus rating via LLM.
• generate_ratings_for_all() for batch rating of multiple stimuli.
• Text analysis utilities:
  • get_lexical_coverage(): Calculate lexical coverage of a text.
  • get_word_frequency(): Look up word frequency information.
  • get_zipf_metric(): Calculate Zipf metric for a text.
  • get_levenshtein_d(): Calculate Levenshtein distance between strings.
  • get_semantic_transparency(): Rate semantic transparency.
• OpenAI API integration (text-only stimuli).
• Rating scale validation (format: "1-7", "0-10", etc.).

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.