Package: LLMRagent 0.8.0

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.

Authors:Ali Sanaei [aut, cre]