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LLMRagent  

Reproducible Language-Model Agents for Research
View on CRAN: Click here


Download and install LLMRagent package within the R console
Install from CRAN:
install.packages("LLMRagent")

Install from Github:
library("remotes")
install_github("cran/LLMRagent")

Install by package version:
library("remotes")
install_version("LLMRagent", "0.8.0")



Attach the package and use:
library("LLMRagent")
Maintained by
Ali Sanaei
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-07-21
Latest Update: 2026-07-21
Description:
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.
How to cite:
Ali Sanaei (2026). LLMRagent: Reproducible Language-Model Agents for Research. R package version 0.8.0, https://cran.r-project.org/web/packages/LLMRagent. Accessed 22 Sep. 2026.
Previous versions and publish date:
0.8.0 (2026-07-21 11:20), (2026-07-27 20:10)
Other packages that cited LLMRagent R package
View LLMRagent citation profile
Other R packages that LLMRagent depends, imports, suggests or enhances
Complete documentation for LLMRagent
Functions, R codes and Examples using the LLMRagent R package
Full LLMRagent package functions and examples
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