# CITATION.cff
cff-version: 1.2.0
message: >
  If you use Vero-Eval in your research, please cite it using the metadata below.
title: "Vero-Eval: The End-to-End LLM Evaluation Framework"
version: "0.0.1.4"
date-released: "2025-11-05"
doi: ""
url: "https://github.com/vero-eval/vero-eval"
repository-code: "https://github.com/vero-eval/vero-eval"
abstract: >
  Vero-Eval is an open-source Python framework designed to evaluate
  artificial intelligence and large language model pipelines.
  It provides modular metrics, automated reporting, and test generation tools
  for reproducible and transparent LLM evaluation.
authors:
  - family-names: "Srivastava"
    given-names: "Vishal"
    email: "vishalsrivastava8203@gmail.com"
    affiliation: "Vero AI Research"
    orcid: ""
  - family-names: "Agrawal"
    given-names: "Alakh"
    email: "alakhagr@gmail.com"
    affiliation: "Vero AI Research"
    orcid: ""
keywords:
  - "LLM evaluation"
  - "Retrieval-Augmented Generation"
  - "AI benchmarking"
  - "automated testing"
  - "data science"
  - "AI evaluation"
  - "AI pipelines"
  - "machine learning"
  - "natural language processing"
  - "open source"
license: "MIT"
preferred-citation:
  type: software
  authors:
    - family-names: "Srivastava"
      given-names: "Vishal"
    - family-names: "Agrawal"
      given-names: "Alakh"
  title: "Vero-Eval: The End-to-End LLM Evaluation Framework"
  year: 2025
  url: "https://github.com/vero-eval/vero-eval"
