LLMRagent: Reproducible Language-Model Agents for Research

An 'R' interface built on 'LLMR' creates large language model (LLM) agents for use as reproducible and governed research instruments. Agents pair a model configuration with optional persona instructions. Stateful exchanges retain conversational memory, and native 'R' functions can serve as tools within declared budgets. Several agents can hold a turn-taking conversation over a shared transcript, and factorial experiments across such designs run in parallel. Model calls and tool activity are captured in a run object, so the research record extends beyond generated text. A study manifest hashes the design and computational apparatus without treating sampled replies as part of its identity, and a hash-sealed archive preserves it alongside transcripts and call records. Tool policies record declared side effects and can limit call counts or result sizes; calls marked for human review pause before execution. Robustness checks assess sensitivity to prompt or model changes, while calibration against human labels corrects estimates drawn from imperfect model labels.

Version:	0.8.0
Depends:	R (≥ 4.2)
Imports:	LLMR (≥ 0.8.10), R6, tibble, rlang, cli, digest, jsonlite, httr2, callr, utils
Suggests:	testthat (≥ 3.0.0), knitr, rmarkdown, future, future.apply, dplyr, withr, R.utils, jsonvalidate, igraph, htmltools
Published:	2026-07-21
DOI:	10.32614/CRAN.package.LLMRagent (may not be active yet)
Author:	Ali Sanaei [aut, cre]
Maintainer:	Ali Sanaei <sanaei at uchicago.edu>
BugReports:	https://github.com/asanaei/LLMRagent/issues
License:	MIT + file LICENSE
URL:	https://github.com/asanaei/LLMRagent, https://asanaei.github.io/LLMRagent/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	LLMRagent results

Documentation:

Reference manual:

LLMRagent.html , LLMRagent.pdf

Vignettes:

A deliberation experiment: group composition and collective decisions (source, R code) Designed conversations: debates, focus groups, interviews, deliberations (source, R code) LLMRagent in 10 minutes (source, R code) Governed tools and human review: letting an agent act, safely (source, R code) Provenance and archiving: an agent run as evidence (source, R code) Strong planner, cheap workers: one strong model coordinating many cheap ones (source, R code) Validity: robustness, calibration, and honest claims (source, R code) Workflows: small, auditable, resumable pipelines (source, R code)

Downloads:

Package source:	LLMRagent_0.8.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): LLMRagent_0.8.0.tgz, r-oldrel (arm64): LLMRagent_0.8.0.tgz, r-release (x86_64): LLMRagent_0.8.0.tgz, r-oldrel (x86_64): LLMRagent_0.8.0.tgz

Linking:

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