#!/usr/bin/env node
import axios from 'axios';
import fs from 'fs-extra';
import { createInterface } from 'readline';
class OpenXAIStudioDeployer {
constructor() {
this.apiUrl = 'https://api.openxai.studio';
this.studioUrl = 'https://studio.openxai.ai';
this.config = {};
this.rl = createInterface({
input: process.stdin,
output: process.stdout
});
}
async question(prompt) {
return new Promise((resolve) => {
this.rl.question(prompt, resolve);
});
}
async loadConfig() {
try {
this.config = await fs.readJSON('config/openxai-studio.json');
} catch (error) {
console.log('⚠️ No OpenXAI Studio config found. Run `npm run setup:openxai-studio` first');
process.exit(1);
}
}
async deploy() {
console.log('🌐 OpenXAI Studio Deployment Guide');
console.log('Decentralized AI Model Deployment');
console.log('===============================\n');
console.log('🎯 To deploy your model, follow these steps:');
console.log('');
console.log('1. 🌐 Visit OpenXAI Studio App Store:');
console.log(' https://studio.openxai.org/app-store');
console.log('');
console.log('2. 🔗 Connect your Web3 wallet (MetaMask, WalletConnect, etc.)');
console.log('');
console.log('3. 🤖 Browse and select your model from these categories:');
console.log(' • General: qwen, deepseek-r1, llama models');
console.log(' • Vision: llama-3.2-vision, qwen2-vl');
console.log(' • Embedding: text-embedding models');
console.log(' • Code: codelama, qwen2.5-coder');
console.log('');
console.log('4. ⚙️ Choose model parameters (1.5b, 7b, 32b, etc.)');
console.log('');
console.log('5. 🚀 Select deployment type (X node for decentralized)');
console.log('');
console.log('6. 🔥 Click deploy button and wait 2-5 minutes');
console.log('');
console.log('7. 📊 Go to /deployments section to access your deployment');
console.log('');
console.log('8. 🔑 Use provided credentials to login to your deployed model');
console.log('');
const shouldContinue = await this.question('Would you like to simulate the deployment process? (y/n): ');
if (shouldContinue.toLowerCase() !== 'y') {
console.log('');
console.log('🎉 Happy deploying! Visit https://studio.openxai.org/app-store to get started!');
console.log('');
return;
}
await this.loadConfig();
try {
// Step 1: Connect Web3 wallet
console.log('🔗 Step 1: Connect Web3 Wallet');
const walletConnection = await this.connectWallet();
// Step 2: Select model and configure
console.log('🤖 Step 2: Configure Model Deployment');
const modelDeployment = await this.configureModelDeployment();
// Step 3: Initialize X node deployment
console.log('⚙️ Step 3: Initialize X Node Deployment');
const xnodeConfig = await this.initializeXNodeDeployment(modelDeployment);
// Step 4: One-click deployment
console.log('🚀 Step 4: One-Click Deployment');
const deployment = await this.executeOneClickDeployment(xnodeConfig);
// Step 5: Monitor deployment progress
console.log('⏳ Step 5: Monitoring Deployment (2-5 minutes)');
const deploymentResult = await this.monitorDeployment(deployment.id);
// Step 6: Get credentials and access info
console.log('🔑 Step 6: Retrieving Access Credentials');
const credentials = await this.getDeploymentCredentials(deployment.id);
// Step 7: Save deployment info
await this.saveDeploymentInfo(deployment, credentials);
console.log('\n✅ Deployment completed successfully!');
console.log('🎉 Your model is now deployed on OpenXAI Studio!');
console.log('═══════════════════════════════════════════════════════════════');
console.log(`🌐 Access URL: ${credentials.accessUrl}`);
console.log(`👤 Username: ${credentials.username}`);
console.log(`🔐 Password: ${credentials.password}`);
console.log(`🤖 Model: ${this.config.openxai_studio.model.displayName}`);
console.log(`📊 Parameters: ${this.config.openxai_studio.model.parameterSize}`);
console.log(`⚡ Resources: ${this.config.openxai_studio.resources.ram} RAM, ${this.config.openxai_studio.resources.cpu} CPU cores`);
console.log(`💳 Subscription: ${this.config.openxai_studio.subscription.name}`);
console.log('═══════════════════════════════════════════════════════════════');
console.log('\n🎯 Next steps:');
console.log('1. Visit the access URL');
console.log('2. Login with your credentials');
console.log('3. Start using your decentralized AI model!');
console.log('\n📊 Check status: npm run status');
} catch (error) {
console.error('❌ Deployment failed:', error.message);
throw error;
} finally {
this.rl.close();
}
}
async connectWallet() {
console.log(` Connecting ${this.config.openxai_studio.wallet.type} wallet...`);
// Simulate wallet connection process
console.log(' 📱 Opening wallet connection...');
console.log(' ✅ Wallet connected successfully');
console.log(' 🔐 Decentralized access enabled');
return {
type: this.config.openxai_studio.wallet.type,
connected: true,
address: '0x' + Math.random().toString(16).substr(2, 40), // Simulate wallet address
timestamp: new Date().toISOString()
};
}
async configureModelDeployment() {
const modelConfig = this.config.openxai_studio.model;
const resourceConfig = this.config.openxai_studio.resources;
console.log(` Model: ${modelConfig.displayName}`);
console.log(` Parameters: ${modelConfig.parameterSize}`);
console.log(` Type: ${modelConfig.type}`);
console.log(` RAM: ${resourceConfig.ram}`);
console.log(` Storage: ${resourceConfig.storage}`);
console.log(` CPU: ${resourceConfig.cpu} cores`);
console.log(' ✅ Configuration validated');
return {
model: modelConfig,
resources: resourceConfig,
validated: true
};
}
async initializeXNodeDeployment(modelDeployment) {
console.log(' 🔍 Finding available X nodes...');
console.log(' 📊 Analyzing resource requirements...');
console.log(' 🌐 Selecting optimal node distribution...');
// Simulate X node selection process
await new Promise(resolve => setTimeout(resolve, 2000));
const xnodeConfig = {
nodes: [
{ id: 'xnode-us-east-1', location: 'US East', cpu: '25%', status: 'selected' },
{ id: 'xnode-eu-west-1', location: 'EU West', cpu: '35%', status: 'selected' },
{ id: 'xnode-asia-1', location: 'Asia Pacific', cpu: '40%', status: 'selected' }
],
distribution: 'load-balanced',
redundancy: 'high'
};
console.log(' ✅ X nodes selected:');
xnodeConfig.nodes.forEach(node => {
console.log(` - ${node.id} (${node.location}) - CPU: ${node.cpu}`);
});
return xnodeConfig;
}
async executeOneClickDeployment(xnodeConfig) {
console.log(' 🚀 Initiating one-click deployment...');
console.log(' 📦 Preparing deployment package...');
console.log(' 🔄 Distributing to X nodes...');
// Simulate deployment initiation
const deployment = {
id: 'deploy-' + Date.now(),
status: 'initializing',
model: this.config.openxai_studio.model.name,
subscription: this.config.openxai_studio.subscription.type,
xnodes: xnodeConfig.nodes,
startTime: new Date().toISOString()
};
console.log(` ✅ Deployment initiated: ${deployment.id}`);
return deployment;
}
async monitorDeployment(deploymentId) {
console.log(` 📊 Monitoring deployment ${deploymentId}...`);
const stages = [
{ name: 'Initializing X nodes', duration: 30 },
{ name: 'Loading model weights', duration: 60 },
{ name: 'Distributing computation', duration: 45 },
{ name: 'Testing connections', duration: 30 },
{ name: 'Finalizing deployment', duration: 15 }
];
for (const stage of stages) {
console.log(` ⏳ ${stage.name}...`);
// Simulate progress
for (let i = 0; i <= 100; i += 20) {
process.stdout.write(`\r 📈 Progress: ${i}% - ${stage.name}`);
await new Promise(resolve => setTimeout(resolve, stage.duration * 10));
}
console.log(`\r ✅ ${stage.name} completed`);
}
console.log(' 🎉 Deployment successful!');
return {
id: deploymentId,
status: 'completed',
completedAt: new Date().toISOString(),
totalTime: '3m 45s'
};
}
async getDeploymentCredentials(deploymentId) {
console.log(' 🔑 Generating access credentials...');
// Simulate credential generation
await new Promise(resolve => setTimeout(resolve, 1000));
const credentials = {
deploymentId: deploymentId,
username: 'user_' + Math.random().toString(36).substr(2, 8),
password: Math.random().toString(36).substr(2, 12),
accessUrl: `https://deploy-${deploymentId}.openxai.studio`,
apiEndpoint: `https://api-${deploymentId}.openxai.studio`,
validUntil: new Date(Date.now() + 30 * 24 * 60 * 60 * 1000).toISOString() // 30 days
};
console.log(' ✅ Credentials generated');
console.log(' 🔐 Access configured');
return credentials;
}
async saveDeploymentInfo(deployment, credentials) {
const deploymentInfo = {
id: deployment.id,
provider: 'openxai-studio',
type: 'decentralized',
model: this.config.openxai_studio.model,
resources: this.config.openxai_studio.resources,
subscription: this.config.openxai_studio.subscription,
credentials: credentials,
deployment: deployment,
status: 'active',
deployed_at: new Date().toISOString(),
config: this.config
};
await fs.ensureDir('deployments');
await fs.writeJSON(`deployments/${deployment.id}.json`, deploymentInfo, { spaces: 2 });
// Update main deployments list
let deployments = [];
try {
deployments = await fs.readJSON('deployments/list.json');
} catch (error) {
// File doesn't exist, start with empty array
}
deployments.push(deploymentInfo);
await fs.writeJSON('deployments/list.json', deployments, { spaces: 2 });
// Create quick access file
const quickAccess = {
url: credentials.accessUrl,
username: credentials.username,
password: credentials.password,
model: this.config.openxai_studio.model.displayName,
deployed: new Date().toISOString()
};
await fs.writeJSON('deployments/quick-access.json', quickAccess, { spaces: 2 });
console.log('\n💾 Deployment info saved');
}
}
// Run the deployment
const deployer = new OpenXAIStudioDeployer();
deployer.deploy().catch(console.error);