Pairwise Comparison Tools for Large Language Model-Based Writing Evaluation // Provides a unified framework for generating, submitting, and analyzing pairwise comparisons of writing quality using large language models (LLMs). The package supports live and/or batch evaluation workflows across multiple providers ('OpenAI', 'Anthropic', 'Google Gemini', 'Together AI', and locally-hosted 'Ollama' models), includes bias-tested prompt templates and a flexible template registry, and offers tools for constructing forward and reversed comparison sets to analyze consistency and positional bias. Results can be modeled using BradleyTerry (1952) doi:10.2307/2334029 or Elo rating methods to derive writing quality scores. For information on the method of pairwise comparisons, see Thurstone (1927) doi:10.1037/h0070288 and Heldsinger Humphry (2010) doi:10.1007/BF03216919. For information on Elo ratings, see Clark et al. (2018) doi:10.1371/journal.pone.0190393.