Package index • pairwiseLLM

All functions

adaptive_get_logs(): Retrieve canonical adaptive logs.
adaptive_item_log(): Adaptive item log accessor.
adaptive_rank(): Run adaptive ranking end-to-end from data and model settings
adaptive_rank_resume(): Adaptive ranking resume
adaptive_rank_run_live(): Adaptive ranking live runner
adaptive_rank_start(): Adaptive ranking
adaptive_results_history(): Adaptive results history in build_bt_data() format.
adaptive_round_log(): Adaptive round log accessor.
adaptive_step_log(): Adaptive step log accessor.
alternate_pair_order(): Deterministically alternate sample order in pairs
anthropic_compare_pair_live(): Live Anthropic (Claude) comparison for a single pair of samples
anthropic_create_batch(): Create an Anthropic Message Batch
anthropic_download_batch_results(): Download Anthropic Message Batch results (.jsonl)
anthropic_get_batch(): Retrieve an Anthropic Message Batch by ID
anthropic_poll_batch_until_complete(): Poll an Anthropic Message Batch until completion
build_anthropic_batch_requests(): Build Anthropic Message Batch requests from a tibble of pairs
build_bt_data(): Build Bradley-Terry comparison data from pairwise results
build_btl_results_data(): Build canonical results_tbl data for Bayesian BTL MCMC
build_elo_data(): Build EloChoice comparison data from pairwise results
build_gemini_batch_requests(): Build Gemini batch requests from a tibble of pairs
build_openai_batch_requests(): Build OpenAI batch JSONL lines for paired comparisons
build_prompt(): Build a concrete LLM prompt from a template
check_llm_api_keys(): Check configured API keys for LLM backends
check_positional_bias(): Check positional bias and bootstrap consistency reliability
compute_reverse_consistency(): Compute consistency between forward and reverse pair comparisons
ensure_only_ollama_model_loaded(): Ensure only one Ollama model is loaded in memory
estimate_llm_pairs_cost(): Estimate LLM token usage and cost for a set of pairwise comparisons
example_openai_batch_output: Example OpenAI Batch output (JSONL lines)
example_writing_pairs: Example dataset of paired comparisons for writing samples
example_writing_results: Example canonical results table for writing comparisons
example_writing_samples: Example dataset of writing samples
example_writing_samples1000: Synthetic Writing Samples with Controlled Quality Levels (N = 1000)
fit_bayes_btl_mcmc(): Full Bayesian BTL inference via CmdStanR (adaptive-compatible)
fit_bt_model(): Fit a Bradley–Terry model with sirt and fallback to BradleyTerry2
fit_elo_model(): Fit an EloChoice model to pairwise comparison data
gemini_compare_pair_live(): Live Google Gemini comparison for a single pair of samples
gemini_create_batch(): Create a Gemini Batch job from request objects
gemini_download_batch_results(): Download Gemini Batch results to a JSONL file
gemini_get_batch(): Retrieve a Gemini Batch job by name
gemini_poll_batch_until_complete(): Poll a Gemini Batch job until completion
get_prompt_template(): Retrieve a named prompt template
list_prompt_templates(): List available prompt templates
llm_compare_pair(): Backend-agnostic live comparison for a single pair of samples
llm_download_batch_results(): Extract results from a pairwiseLLM batch object
llm_resume_multi_batches(): Resume polling and download results for multiple batch jobs
llm_submit_pairs_batch(): Submit pairs to an LLM backend via batch API
llm_submit_pairs_multi_batch(): Multi‑batch submission and polling wrappers
load_adaptive_session(): Load an adaptive session from disk.
make_adaptive_judge_llm(): Build an LLM judge function for adaptive ranking
make_pairs(): Create all unordered pairs of writing samples
ollama_compare_pair_live(): Live Ollama comparison for a single pair of samples
openai_compare_pair_live(): Live OpenAI comparison for a single pair of samples
openai_create_batch(): Create an OpenAI batch from an uploaded file
openai_download_batch_output(): Download the output file for a completed batch
openai_get_batch(): Retrieve an OpenAI batch
openai_poll_batch_until_complete(): Poll an OpenAI batch until it completes or fails
openai_upload_batch_file(): Upload a JSONL batch file to OpenAI
parse_anthropic_batch_output(): Parse Anthropic Message Batch output into a tibble
parse_gemini_batch_output(): Parse Gemini batch JSONL output into a tibble of pairwise results
parse_openai_batch_output(): Parse an OpenAI Batch output JSONL file
print(<adaptive_state>): Print an adaptive state summary.
print(<pairwiseLLM_cost_estimate>): Print a pairwiseLLM cost estimate
randomize_pair_order(): Randomly assign samples to positions SAMPLE_1 and SAMPLE_2
read_samples_df(): Read writing samples from a data frame
read_samples_dir(): Read writing samples from a directory of .txt files
register_prompt_template(): Register a named prompt template
remove_prompt_template(): Remove a registered prompt template
run_anthropic_batch_pipeline(): Run an Anthropic batch pipeline for pairwise comparisons
run_gemini_batch_pipeline(): Run a Gemini batch pipeline for pairwise comparisons
run_openai_batch_pipeline(): Run a full OpenAI batch pipeline for pairwise comparisons
sample_pairs(): Randomly sample pairs of writing samples
sample_reverse_pairs(): Sample reversed versions of a subset of pairs
save_adaptive_session(): Save an adaptive session to disk.
set_prompt_template(): Get or set a prompt template for pairwise comparisons
submit_anthropic_pairs_live(): Live Anthropic (Claude) comparisons for a tibble of pairs
submit_gemini_pairs_live(): Live Google Gemini comparisons for a tibble of pairs
submit_llm_pairs(): Backend-agnostic live comparisons for a tibble of pairs
submit_ollama_pairs_live(): Live Ollama comparisons for a tibble of pairs
submit_openai_pairs_live(): Live OpenAI comparisons for a tibble of pairs
submit_together_pairs_live(): Live Together.ai comparisons for a tibble of pairs
summarize_adaptive(): Summarize an adaptive state.
summarize_bt_fit(): Summarize a Bradley–Terry model fit
summarize_items(): Summarize adaptive items
summarize_refits(): Summarize adaptive refits
together_compare_pair_live(): Live Together.ai comparison for a single pair of samples
trait_description(): Get a trait name and description for prompts
validate_session_dir(): Validate an adaptive session directory.
write_openai_batch_file(): Write an OpenAI batch table to a JSONL file