calibrtr / calibrtr-client

Calibrtr-Client

Official Client library for calibrtr.com

Python

Installation

pip install calibrtr

Usage

from calibrtr import CalibrtrClient
from openai import OpenAI

openAiClient = OpenAI()

calibrtrClient = CalibrtrClient("API_KEY")

chat_completion = openAiClient.chat.completions.create(
    messages=[
        {
            "role": "user",
            "content": "hello world",
        }
    ],
    model="gpt-3.5-turbo",
)

calibrtrClient.log_usage("openai",
                "gpt-3-turbo", 
                "test",
                chat_completion.usage.prompt_tokens,
                chat_completion.usage.completion_tokens,
                feature="python-client",
                response=chat_completion
                )

JavaScript/TypeScript

Installation

npm install calibrtr

Usage

import { createCalibrtrClient } from 'calibrtr';
import { OpenAI } from 'openai';

const calibrtrClient = createCalibrtrClient({
    apiKey: "[CALIBRTR_API_KEY]",
});

const openAiClient = new OpenAI();

const request = {
    model: "gpt-3.5-turbo",
    messages: [
        {
            role: "user",
            content: "message",
        }
    ],
};

const chatCompletion = await openAiClient.chat.completions.create(request);

calibrtrClient.logUsage({
        aiProvider: "openai",
        aiModel: "gpt-3-turbo",
        system: "test",
        feature: "js-client",
        requestTokens: chatCompletion.requestTokens,
        responseTokens: chatCompletion.responseTokens,
        request: request,
        response: chatCompletion.choices[0].message,
    }
);