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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "AutoGenAI" in publications use:'
type: software
license: MIT
title: 'AutoGenAI: Adaptive Optimization of Prompts, Models and Generation Strategies'
version: 0.1.0
doi: 10.32614/CRAN.package.AutoGenAI
abstract: 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) <https://doi.org/10.1109/4235.996017>.
authors:
- family-names: Marvian Mashhad
  given-names: Leila
  email: leila.marveian@gmail.com
repository: https://leilamarvian.r-universe.dev
commit: 081d6b3902782081c15cbfbe04e75a68e25d44b5
date-released: '2026-09-12'
contact:
- family-names: Marvian Mashhad
  given-names: Leila
  email: leila.marveian@gmail.com