gpt-tokens

gpt-tokens

GPT tokens / price Calculate

Install

# npm or yarn

npm install gpt-tokens
yarn add gpt-tokens

Support

Basic Models

• gpt-3.5-turbo
• gpt-3.5-turbo-16k
• gpt-4
• gpt-4-32k
• gpt-4-turbo-preview
• gpt-3.5-turbo-0301
• gpt-3.5-turbo-0613
• gpt-3.5-turbo-1106
• gpt-3.5-turbo-0125
• gpt-3.5-turbo-16k-0613
• gpt-4-0314
• gpt-4-0613
• gpt-4-32k-0314
• gpt-4-32k-0613
• gpt-4-1106-preview
• gpt-4-0125-preview
• gpt-4-turbo-2024-04-09
• gpt-4-turbo
• gpt-4o
• gpt-4o-2024-05-13
• gpt-4o-2024-08-06
• gpt-4o-2024-11-20
• gpt-4o-mini
• gpt-4o-mini-2024-07-18
• o1
• o1-preview
• o1-preview-2024-09-12
• o1-mini
• o1-mini-2024-09-12
• chatgpt-4o-latest

Fine Tune Models

• ft:gpt-3.5-turbo:xxx

Others

• Fine tune training (Not rigorously tested)
• Function calling (Not rigorously tested)

Usage

Basic chat messages

import { GPTTokens } from 'gpt-tokens'

const usageInfo = new GPTTokens({
    model   : 'gpt-3.5-turbo-1106',
    messages: [
        { 'role' :'system', 'content': 'You are a helpful, pattern-following assistant that translates corporate jargon into plain English.' },
        { 'role' :'user',   'content': 'This late pivot means we don\'t have time to boil the ocean for the client deliverable.' },
    ]
})

console.info('Used tokens: ', usageInfo.usedTokens)
console.info('Used USD: ',    usageInfo.usedUSD)

Fine tune training

import { GPTTokens } from 'gpt-tokens'

const usageInfo = new GPTTokens({
    model   : 'gpt-3.5-turbo-1106',
    training: {
        data  : fs
                .readFileSync(filepath, 'utf-8')
                .split('\n')
                .filter(Boolean)
                .map(row => JSON.parse(row)),
        epochs: 7,
    },
})

console.info('Used tokens: ', usageInfo.usedTokens)
console.info('Used USD: ',    usageInfo.usedUSD)

Fine tune chat messages

import { GPTTokens } from 'gpt-tokens'

const usageInfo = new GPTTokens({
    fineTuneModel: 'ft:gpt-3.5-turbo-1106:opensftp::8IWeqPit',
    messages     : [
        { role: 'system', content: 'You are a helpful assistant.' },
    ],
})

console.info('Used tokens: ', usageInfo.usedTokens)
console.info('Used USD: ',    usageInfo.usedUSD)

Function calling

import { GPTTokens } from 'gpt-tokens'

const usageInfo = new GPTTokens({
    model   : 'gpt-3.5-turbo-1106',
    messages: [
        { role: 'user', content: 'What\'s the weather like in San Francisco and Paris?' },
    ],
    tools   : [
        {
            type    : 'function',
            function: {
                name       : 'get_current_weather',
                description: 'Get the current weather in a given location',
                parameters : {
                    type      : 'object',
                    properties: {
                        location: {
                            type       : 'string',
                            description: 'The city and state, e.g. San Francisco, CA',
                        },
                        unit    : {
                            type: 'string',
                            enum: ['celsius', 'fahrenheit'],
                        },
                    },
                    required  : ['location'],
                },
            },
        },
    ]
})

console.info('Used tokens: ', usageInfo.usedTokens)
console.info('Used USD: ',    usageInfo.usedUSD)

Calculation method

Basic chat messages

Tokens calculation rules for prompt and completion:

If the role of the last element of messages is not assistant, the entire messages will be regarded as a prompt, and all content will participate in the calculation of tokens

If the role of the last element of messages is assistant, the last message is regarded as the completion returned by openai, and only the 'content' content in the completion participates in the calculation of tokens

Verify the function above in openai-cookbook

Function calling

Thanks for hmarr

https://hmarr.com/blog/counting-openai-tokens/

Test in your project

node test.js yourOpenAIAPIKey

Dependencies

• js-tiktoken
• openai-chat-tokens