trace.ai-cli/services/aiService.js

A powerful AI-powered CLI tool

const fetch = require('node-fetch');
const { encryptData, decryptData } = require('../utils/encryption');

async function processWithAI(prompt, context = '') {
    try {
        const models = ['kimi', 'mvrk', 'gma3', 'dsv3', 'qw32b', 'ms24b', 'll70b', 'qw3', 'mp4', 'nlm3'];
        
        const modelRequests = models.map(model =>
            fetch('https://traceai.dukeindustries7.workers.dev/', {
                method: 'POST',
                headers: { 'Content-Type': 'application/json' },
                body: encryptData({
                    a: model,
                    q: prompt,
                    r: [],
                    i: [],
                    c: context
                })
            })
                .then(res => res.text())
                .then(decryptData)
        );

        const responses = await Promise.all(modelRequests);
        const responseTexts = responses.map(r => r.text);

        const finalResponse = await fetch('https://traceai.dukeindustries7.workers.dev/', {
            method: 'POST',
            headers: { 'Content-Type': 'application/json' },
            body: encryptData({
                a: 'gfinal',
                q: prompt,
                r: responseTexts.filter(text => text && typeof text === 'string'),
                i: [],
                c: context
            })
        });

        const encryptedResult = await finalResponse.text();
        const decryptedResult = decryptData(encryptedResult);
        return decryptedResult.text || 'No response generated';
    } catch (error) {
        console.error('❌ Processing error:', error.message);
        throw error;
    }
}

module.exports = {
    processWithAI
};