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AutoGenAI

0.1.0Package record

Adaptive Optimization of Prompts, Models and Generation Strategies

0packages depend
532downloads / year
55.4%test coverage
13/13flavors OK

Overview

About

Provides provider-agnostic tools for jointly comparing and optimizing prompts, language-model providers, and generation strategies for generative artificial intelligence workflows. Candidate configurations can be evaluated using user-supplied scoring functions, cost and latency measurements, robustness perturbations, Pareto-front screening, budget and latency constraints, prompt evolution, adaptive routing, self-consistency, and text-output ensembles. The core workflow is designed to run offline with deterministic mock providers, while external model application programming interfaces can be connected through user-defined provider functions. Evolutionary search concepts are described by Goldberg (1989, ISBN:0201157675), and multi-objective optimization concepts are related to Deb, Pratap, Agarwal and Meyarivan (2002) doi:10.1109/4235.996017.

Changes in 0.1.0
  • Initial provider-agnostic optimization framework.
  • Added joint prompt-provider-generation benchmarking.
  • Added prompt evolution, Pareto optimization, budget and latency constraints, robustness testing, adaptive routing, and ensemble tools.
  • Added deterministic offline mock providers, tests, and vignettes.
  • Added explicit stats::runif() namespace import and CRAN-friendly documentation formatting.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 6.4 min · r-release-macos-x86_64
Status changes
  • OK13 OKNow
  • OK6 OK2026-09-13
Advisories

none known

Documentation

In release 0.1.0
READMEYes · 105 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
11includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
44%
Documented parameters
58%
Return-value docs
100%
Help pages citing references
0%

Downloads

532
CRAN downloads in the past year
Rank #23,803 · ~1/day · ~44/mo
Daily download trend is not available in this view yet.
40030 days
53290 days
5321 year
Compare downloads with other packages →
Also on9 r2u31 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing AutoGenAI adds 1 package (1 with compiled code, 1.0 MB of source tarballs). Heaviest: jsonlite 1.0 MB.

Depends (1)
R >= 4.1.0
Imports (1)
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (1)
Author, Maintainer since 0.1.0 (2026)
Releases (1)
  • 0.1.0Latest
    2026-09-12 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-12
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 4.1.0
Download size
23 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("AutoGenAI")
Marvian Mashhad, L. (2026). AutoGenAI: Adaptive Optimization of Prompts, Models and Generation Strategies (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.AutoGenAI

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for AutoGenAI version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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