lume-ai
Version:
A powerful yet simple library to build your own AI applications.
62 lines (57 loc) • 1.85 kB
text/typescript
// ===============================
// SECTION | IMPORTS
// ===============================
import 'dotenv/config'
import { describe, test, expect } from '@jest/globals'
import { Lume } from '../index'
import { OpenAI } from '../llms'
import { Custom, Flirty, Friendly, Professional } from '../genes'
// ===============================
// ===============================
// SECTION | TESTS
// ===============================
describe('Gene Tests', () => {
test('should use custom gene', async () => {
const lume = new Lume({
llm: new OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new Custom(),
})
const response = await lume.chat('Hello, how are you?')
console.log('AI Response:', response)
expect(response).toBeDefined()
})
test('should use friendly gene', async () => {
const lume = new Lume({
llm: new OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new Friendly(),
})
const response = await lume.chat(
'Hello, how are you and what is your name?'
)
console.log('AI Response:', response)
expect(response).toContain('Lume')
})
test('should use professional gene', async () => {
const lume = new Lume({
llm: new OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new Professional(),
})
const response = await lume.chat(
'Hello, how are you and what is your name?'
)
console.log('AI Response:', response)
expect(response).toContain('Lume')
})
test('should use flirty gene', async () => {
const lume = new Lume({
llm: new OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new Flirty(),
})
const response = await lume.chat(
'Hello, how are you and what is your name?'
)
console.log('AI Response:', response)
expect(response).toContain('Lume')
})
})
// ===============================