gpt-tokens
GPT tokens / price Calculate
Install
# npm or yarn
npm install gpt-tokens
yarn add gpt-tokensSupport
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-mini
- gpt-4o-mini-2024-07-18
- 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