Skip to main content

​
Overview

The Prompt Optimizer module provides algorithms for automatically improving LLM prompts based on evaluation metrics. It uses Optuna for hyperparameter optimization.

​
Available algorithms

AlgorithmDescription
GEPAGenetic Evolution Prompt Algorithm — evolves prompts through selection and mutation
MIPROv2Multi-Instance Prompt Optimization v2 — generates and evaluates prompt candidates

​
Usage

from gaussia.prompt_optimizer import PromptOptimizer

optimizer = PromptOptimizer(
    algorithm="gepa",
    n_trials=50,
)

best_prompt = optimizer.optimize(
    initial_prompt="You are a helpful assistant.",
    evaluation_fn=my_evaluation_function,
)
Requires the prompt-optimizer extra: pip install "gaussia[prompt-optimizer]".