aigra_generate_tabular_items: Generate items from a tabular item bank

In AIGRA: Agentic Item Generation, Review, and Analysis

Generate items from a tabular item bank

Description

Runs the AIGRA generation, solver, critic, and export pipeline using a CSV or Excel item bank.

Usage

aigra_generate_tabular_items(
  file_path,
  provider = "gemini",
  model = "gemini-3.1-pro-preview",
  source_language = "English",
  target_language = "English",
  review_language = "English",
  subject = "General",
  exam = "Item Bank",
  n_clones = 1,
  max_items = NULL,
  output_dir = NULL,
  read_csv = TRUE
)

Arguments

file_path	Path to CSV or Excel item bank.
provider	LLM provider, such as "gemini", "openai", "groq", or "anthropic".
model	Provider model name.
source_language	Source language of the input item bank.
target_language	Target language for generated items.
review_language	Language to use for automated review feedback.
subject	Subject area for item generation.
exam	Examination, assessment, or project name.
n_clones	Number of clones to generate per source item.
max_items	Maximum number of source items to process.
output_dir	Optional output directory.
read_csv	Logical; if TRUE, read and return the generated CSV output when available.

Value

A data frame if read_csv is TRUE; otherwise invisibly returns the CSV path.

AIGRA documentation built on July 10, 2026, 5:06 p.m.