@jackhua/mini-langchain/dist/example.js

A lightweight TypeScript implementation of LangChain with cost optimization features

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
const dotenv_1 = require("dotenv");
const openai_1 = require("./llms/openai");
const prompt_1 = require("./prompts/prompt");
const llm_1 = require("./chains/llm");
// Load environment variables
(0, dotenv_1.config)();
async function main() {
    try {
        console.log('🚀 Starting Mini-LangChain Example...\n');
        // Initialize OpenAI LLM
        const llm = new openai_1.OpenAI({
            apiKey: process.env.OPENAI_API_KEY,
            model: 'gpt-3.5-turbo',
            defaultTemperature: 0.7
        });
        // Create a simple prompt template
        const prompt = prompt_1.PromptTemplate.fromTemplate("What is a good name for a company that makes {product}?");
        // Create an LLM chain
        const chain = new llm_1.LLMChain({ llm, prompt });
        // Run the chain
        const result = await chain.call({ product: "colorful socks" });
        console.log('🎯 Result:', result.text);
        console.log('\n✅ Example completed successfully!');
    }
    catch (error) {
        console.error('❌ Error:', error);
    }
}
// Run the example
main();
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