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YIVAL
Automated prompt engineering for GenAI
Apache-2.0
ABOUT
Finding the best prompt for a GenAI task involves manually testing dozens of prompt variants, model parameters, and configurations — a slow, ad-hoc process with no reproducible workflow. YiVal automates prompt engineering by running systematic experiments across prompt templates, model settings, and evaluation criteria, then presents comparative results so developers can identify the optimal configuration with data-driven decisions instead of guesswork.
INSTALL
pip install yivalINTEGRATION GUIDE
1. Run A/B tests on prompt templates to find which wording produces the most accurate outputs for a given task
2. Compare the same prompt across different LLM providers to select the best model for cost and quality
3. Optimize temperature, top-p, and other model parameters systematically instead of by manual tuning
4. Build a regression test suite that automatically alerts when a prompt change degrades output quality
TAGS
pythonprompt-engineeringevaluationllmoptimizationgenaiexperimentation