lume-ai
Version:
A powerful yet simple library to build your own AI applications.
63 lines (62 loc) • 3.1 kB
JavaScript
;
var __awaiter = (this && this.__awaiter) || function (thisArg, _arguments, P, generator) {
function adopt(value) { return value instanceof P ? value : new P(function (resolve) { resolve(value); }); }
return new (P || (P = Promise))(function (resolve, reject) {
function fulfilled(value) { try { step(generator.next(value)); } catch (e) { reject(e); } }
function rejected(value) { try { step(generator["throw"](value)); } catch (e) { reject(e); } }
function step(result) { result.done ? resolve(result.value) : adopt(result.value).then(fulfilled, rejected); }
step((generator = generator.apply(thisArg, _arguments || [])).next());
});
};
Object.defineProperty(exports, "__esModule", { value: true });
// ===============================
// SECTION | IMPORTS
// ===============================
require("dotenv/config");
const globals_1 = require("@jest/globals");
const index_1 = require("../index");
const llms_1 = require("../llms");
const genes_1 = require("../genes");
// ===============================
// ===============================
// SECTION | TESTS
// ===============================
(0, globals_1.describe)('Gene Tests', () => {
(0, globals_1.test)('should use custom gene', () => __awaiter(void 0, void 0, void 0, function* () {
const lume = new index_1.Lume({
llm: new llms_1.OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new genes_1.Custom(),
});
const response = yield lume.chat('Hello, how are you?');
console.log('AI Response:', response);
(0, globals_1.expect)(response).toBeDefined();
}));
(0, globals_1.test)('should use friendly gene', () => __awaiter(void 0, void 0, void 0, function* () {
const lume = new index_1.Lume({
llm: new llms_1.OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new genes_1.Friendly(),
});
const response = yield lume.chat('Hello, how are you and what is your name?');
console.log('AI Response:', response);
(0, globals_1.expect)(response).toContain('Lume');
}));
(0, globals_1.test)('should use professional gene', () => __awaiter(void 0, void 0, void 0, function* () {
const lume = new index_1.Lume({
llm: new llms_1.OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new genes_1.Professional(),
});
const response = yield lume.chat('Hello, how are you and what is your name?');
console.log('AI Response:', response);
(0, globals_1.expect)(response).toContain('Lume');
}));
(0, globals_1.test)('should use flirty gene', () => __awaiter(void 0, void 0, void 0, function* () {
const lume = new index_1.Lume({
llm: new llms_1.OpenAI(process.env.OPENAI_API_KEY || ''),
gene: new genes_1.Flirty(),
});
const response = yield lume.chat('Hello, how are you and what is your name?');
console.log('AI Response:', response);
(0, globals_1.expect)(response).toContain('Lume');
}));
});
// ===============================