> ## Documentation Index
> Fetch the complete documentation index at: https://docs.gaussia.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Prompt optimizer

> Optimize LLM prompts using GEPA and MIPROv2 algorithms

## Overview

The **Prompt Optimizer** module provides algorithms for automatically improving LLM prompts based on evaluation metrics. It uses [Optuna](https://optuna.org/) for hyperparameter optimization.

## Available algorithms

| Algorithm   | Description                                                                         |
| ----------- | ----------------------------------------------------------------------------------- |
| **GEPA**    | Genetic Evolution Prompt Algorithm — evolves prompts through selection and mutation |
| **MIPROv2** | Multi-Instance Prompt Optimization v2 — generates and evaluates prompt candidates   |

## Usage

```python theme={null}
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,
)
```

<Note>
  Requires the `prompt-optimizer` extra: `pip install "gaussia[prompt-optimizer]"`.
</Note>