test_embedding.js

import OpenAI from 'openai';
import dotenv from 'dotenv';

dotenv.config();

const openai = new OpenAI({
    baseURL: process.env.LM_STUDIO_URL || 'http://localhost:1234/v1',
    apiKey: 'lm-studio',
});

async function testEmbedding() {
    try {
        console.log('Testing embedding generation...');
        const response = await openai.embeddings.create({
            model: process.env.LM_STUDIO_MODEL || 'qwen-2.5-7b-instruct', // Use configured model
            input: "The quick brown fox jumps over the lazy dog",
        });
        console.log('Success!');
        console.log('Vector length:', response.data[0].embedding.length);
    } catch (error) {
        console.error('Error:', error.message);
        if (error.response) console.error('Data:', error.response.data);
    }
}

testEmbedding();