quotientai 0.1.2

CLI for evaluating large language models with Quotient

quotientai

Overview

quotientai is an SDK and CLI built to manage artifacts (prompts, datasets), and run evaluations on Quotient.

Installation

pip install quotientai

Usage

Create an API key on Quotient and set it as an environment variable called QUOTIENT_API_KEY. Then follow the examples below or see our docs for a more comprehensive walkthrough.

Examples

Create a prompt:

from quotientai import QuotientAI

quotient = QuotientAI()

new_prompt = quotient.prompts.create(
    name="customer-support-inquiry"
    system_prompt="You are a helpful assistant.",
    user_prompt="How can I assist you today?"
)

print(new_prompt)

Create a dataset:

from quotientai import QuotientAI

quotient = QuotientAI()

new_dataset = quotient.datasets.create(
    name="my-sample-dataset"
    description="My first dataset",
    rows=[
        {"input": "Sample input", "expected": "Sample output"},
        {"input": "Another input", "expected": "Another output"}
    ]
)

print(new_dataset)