ai-team-orchestrator
Version:
🧠 AI Team Advanced - Maximum Quality Agent System avec 9 agents ultra-spécialisés et collaboration intelligente
492 lines (411 loc) • 19.2 kB
JavaScript
/**
* 🚀 AI Team Advanced CLI - Maximum Quality Agent System
*
* Interface CLI pour orchestrer le système d'agents multi-spécialisés
* avec collaboration intelligente et qualité enterprise.
*/
import { Command } from 'commander';
import inquirer from 'inquirer';
import chalk from 'chalk';
import ora from 'ora';
import boxen from 'boxen';
import gradient from 'gradient-string';
import AdvancedAgentSystem from '../lib/advanced-agent-system.js';
import { readFile, writeFile } from 'fs/promises';
import path from 'path';
import crypto from 'crypto';
class AITeamAdvancedCLI {
constructor() {
this.program = new Command();
this.agentSystem = null;
this.sessionId = null;
this.setupProgram();
this.setupCommands();
}
setupProgram() {
this.program
.name('ai-team-advanced')
.version('3.0.0')
.description(gradient.pastel('🧠 AI Team Advanced - Maximum Quality Agent System'))
.configureOutput({
writeErr: (str) => process.stderr.write(`[ERROR] ${str}`),
writeOut: (str) => process.stdout.write(str)
});
}
setupCommands() {
// Commande principale d'orchestration avancée
this.program
.command('orchestrate')
.alias('o')
.description('🎯 Orchestrer un développement avec agents multi-spécialisés')
.option('-t, --task <description>', 'Description de la tâche')
.option('-c, --complexity <level>', 'Niveau de complexité: low|medium|high|enterprise', 'medium')
.option('-q, --quality <level>', 'Niveau de qualité: standard|high|maximum|enterprise', 'maximum')
.option('--interactive', 'Mode interactif avec négociation agents', false)
.option('--continuous', 'Amélioration continue activée', false)
.action(this.handleOrchestration.bind(this));
// Commande de collaboration agent-to-agent
this.program
.command('collaborate')
.alias('c')
.description('🤝 Collaboration intelligente entre agents spécialisés')
.option('-a, --agents <list>', 'Liste des agents à faire collaborer')
.option('-o, --objective <goal>', 'Objectif de collaboration')
.option('--negotiation', 'Activer la négociation inter-agents', false)
.action(this.handleCollaboration.bind(this));
// Commande d'audit de qualité maximale
this.program
.command('audit')
.alias('a')
.description('🔍 Audit de qualité multi-agents exhaustif')
.option('-p, --path <directory>', 'Répertoire à auditer', '.')
.option('-d, --depth <level>', 'Profondeur d\'analyse: basic|deep|comprehensive', 'comprehensive')
.option('--fix', 'Appliquer les corrections automatiquement', false)
.action(this.handleQualityAudit.bind(this));
// Commande d'optimisation performance
this.program
.command('optimize')
.alias('opt')
.description('⚡ Optimisation performance par agents spécialisés')
.option('-t, --target <metric>', 'Métrique cible: speed|memory|network|bundle')
.option('-b, --budget <value>', 'Budget de performance')
.option('--aggressive', 'Optimisations agressives', false)
.action(this.handlePerformanceOptimization.bind(this));
// Commande de sécurité enterprise
this.program
.command('secure')
.alias('s')
.description('🔒 Analyse et sécurisation enterprise par expert sécurité')
.option('-l, --level <compliance>', 'Niveau compliance: basic|enterprise|government')
.option('--standards <list>', 'Standards: OWASP,GDPR,SOX,HIPAA,PCI-DSS')
.option('--penetration', 'Tests de pénétration automatisés', false)
.action(this.handleSecurityAnalysis.bind(this));
// Commande d'apprentissage et amélioration
this.program
.command('learn')
.alias('l')
.description('🧠 Système d\'apprentissage et amélioration continue')
.option('--feedback <session>', 'Feedback sur une session')
.option('--retrain', 'Réentraîner les agents', false)
.option('--metrics', 'Analyser les métriques de performance', false)
.action(this.handleLearning.bind(this));
// Commande de monitoring en temps réel
this.program
.command('monitor')
.alias('m')
.description('📊 Monitoring en temps réel des agents et qualité')
.option('-d, --dashboard', 'Lancer le dashboard interactif', false)
.option('--alerts', 'Configurer les alertes qualité', false)
.action(this.handleMonitoring.bind(this));
}
async handleOrchestration(options) {
try {
await this.initializeAdvancedSystem();
console.log(boxen(
gradient.rainbow('🚀 AI TEAM ADVANCED ORCHESTRATION\nQuality Level: MAXIMUM'),
{ padding: 1, margin: 1, borderStyle: 'double' }
));
let taskDescription = options.task;
if (!taskDescription) {
const answer = await inquirer.prompt([
{
type: 'input',
name: 'task',
message: '📝 Décrivez votre tâche de développement:',
validate: input => input.trim().length > 10 || 'Veuillez fournir une description détaillée (>10 caractères)'
}
]);
taskDescription = answer.task;
}
// Configuration avancée
const requirements = await this.gatherAdvancedRequirements(options);
console.log(chalk.cyan('\n🧠 Initialisation du système d\'agents avancés...'));
const spinner = ora('Orchestration en cours...').start();
try {
// Processus d'orchestration complet
const result = await this.agentSystem.processTask(taskDescription, requirements);
spinner.succeed('Orchestration terminée avec succès!');
await this.displayResults(result);
await this.handlePostProcessing(result, options);
} catch (error) {
spinner.fail('Erreur dans l\'orchestration');
console.error(chalk.red('Erreur:'), error.message);
// Système de récupération intelligente
await this.handleOrchestrationFailure(error, taskDescription, requirements);
}
} catch (error) {
console.error(chalk.red('Erreur d\'initialisation:'), error.message);
process.exit(1);
}
}
async gatherAdvancedRequirements(options) {
const questions = [
{
type: 'list',
name: 'priorityFocus',
message: '🎯 Priorité principale:',
choices: [
{ name: '⚡ Performance maximale', value: 'performance' },
{ name: '🔒 Sécurité enterprise', value: 'security' },
{ name: '🧪 Qualité et tests', value: 'quality' },
{ name: '🏗️ Architecture scalable', value: 'architecture' },
{ name: '⚖️ Équilibré optimal', value: 'balanced' }
]
},
{
type: 'checkbox',
name: 'requiredAgents',
message: '🤖 Agents spécialisés requis:',
choices: [
{ name: '🏗️ Architecte (Vision système)', value: 'architect', checked: true },
{ name: '🎨 Frontend Specialist (UI/UX)', value: 'frontend' },
{ name: '⚙️ Backend Expert (API/Performance)', value: 'backend' },
{ name: '🧪 QA Engineer (Tests exhaustifs)', value: 'qa', checked: true },
{ name: '🔒 Security Expert (Sécurité)', value: 'security' },
{ name: '📊 Performance Optimizer', value: 'performance' },
{ name: '🔍 Code Reviewer (Review IA)', value: 'reviewer', checked: true },
{ name: '📝 Documentation Specialist', value: 'documentation' }
]
},
{
type: 'list',
name: 'collaborationMode',
message: '🤝 Mode de collaboration:',
choices: [
{ name: '🚀 Parallèle optimisé', value: 'parallel' },
{ name: '🔄 Séquentiel validé', value: 'sequential' },
{ name: '🧠 Négociation intelligente', value: 'negotiation' },
{ name: '🎯 Adaptatif (IA decide)', value: 'adaptive' }
]
},
{
type: 'confirm',
name: 'enableLearning',
message: '🧠 Activer l\'apprentissage continu?',
default: true
}
];
if (options.interactive) {
return await inquirer.prompt(questions);
} else {
// Configuration par défaut optimisée
return {
priorityFocus: 'balanced',
requiredAgents: ['architect', 'qa', 'reviewer', 'security'],
collaborationMode: 'adaptive',
enableLearning: true,
complexity: options.complexity,
qualityLevel: options.quality
};
}
}
async handleCollaboration(options) {
console.log(boxen(
gradient.cristal('🤝 COLLABORATION INTER-AGENTS\nIntelligence Collective Activée'),
{ padding: 1, margin: 1, borderStyle: 'round' }
));
await this.initializeAdvancedSystem();
const collaboration = await this.agentSystem.orchestrateCollaboration({
agents: options.agents?.split(',') || ['architect', 'frontend', 'backend'],
objective: options.objective,
enableNegotiation: options.negotiation,
mode: 'intelligent'
});
await this.displayCollaborationResults(collaboration);
}
async handleQualityAudit(options) {
console.log(boxen(
gradient.vice('🔍 AUDIT QUALITÉ MAXIMALE\nAnalyse Multi-Agents Exhaustive'),
{ padding: 1, margin: 1, borderStyle: 'bold' }
));
await this.initializeAdvancedSystem();
const spinner = ora('Audit de qualité en cours...').start();
try {
const auditResults = await this.agentSystem.performComprehensiveAudit({
path: options.path,
depth: options.depth,
autoFix: options.fix,
agents: ['qa', 'security', 'performance', 'reviewer']
});
spinner.succeed('Audit terminé!');
await this.displayAuditResults(auditResults);
if (options.fix && auditResults.autoFixableIssues.length > 0) {
await this.applyAutomaticFixes(auditResults.autoFixableIssues);
}
} catch (error) {
spinner.fail('Erreur dans l\'audit');
console.error(chalk.red('Erreur:'), error.message);
}
}
async handlePerformanceOptimization(options) {
console.log(boxen(
gradient.summer('⚡ OPTIMISATION PERFORMANCE\nAgents Spécialisés Performance'),
{ padding: 1, margin: 1, borderStyle: 'double' }
));
await this.initializeAdvancedSystem();
const optimizations = await this.agentSystem.performPerformanceOptimization({
target: options.target || 'comprehensive',
budget: options.budget,
aggressive: options.aggressive,
agents: ['performance', 'architect', 'frontend', 'backend']
});
await this.displayOptimizationResults(optimizations);
}
async handleSecurityAnalysis(options) {
console.log(boxen(
gradient.mind('🔒 SÉCURITÉ ENTERPRISE\nAnalyse et Sécurisation Maximale'),
{ padding: 1, margin: 1, borderStyle: 'double' }
));
await this.initializeAdvancedSystem();
const securityAnalysis = await this.agentSystem.performSecurityAnalysis({
level: options.level || 'enterprise',
standards: options.standards?.split(',') || ['OWASP', 'GDPR'],
penetrationTesting: options.penetration,
agents: ['security', 'qa', 'reviewer']
});
await this.displaySecurityResults(securityAnalysis);
}
async handleLearning(options) {
console.log(boxen(
gradient.fruit('🧠 APPRENTISSAGE CONTINU\nAmélioration Intelligence Agents'),
{ padding: 1, margin: 1, borderStyle: 'round' }
));
if (options.feedback) {
await this.processFeedback(options.feedback);
}
if (options.retrain) {
await this.retrainAgents();
}
if (options.metrics) {
await this.displayLearningMetrics();
}
}
async handleMonitoring(options) {
console.log(boxen(
gradient.atlas('📊 MONITORING TEMPS RÉEL\nTableau de Bord Qualité'),
{ padding: 1, margin: 1, borderStyle: 'bold' }
));
if (options.dashboard) {
await this.launchInteractiveDashboard();
}
if (options.alerts) {
await this.configureQualityAlerts();
}
}
async initializeAdvancedSystem() {
if (this.agentSystem) return;
const apiKey = await this.getAPIKey();
if (!apiKey) {
throw new Error('Clé API Together AI requise. Utilisez: export TOGETHER_API_KEY=your_key');
}
this.agentSystem = new AdvancedAgentSystem(apiKey);
this.sessionId = crypto.randomUUID();
console.log(chalk.green('✅ Système d\'agents avancés initialisé'));
console.log(chalk.gray(`Session ID: ${this.sessionId}`));
}
async getAPIKey() {
return process.env.TOGETHER_API_KEY || process.env.OPENAI_API_KEY;
}
async displayResults(result) {
console.log(chalk.cyan('\n📊 RÉSULTATS DE L\'ORCHESTRATION'));
console.log('='.repeat(50));
console.log(chalk.green(`✅ Score de qualité: ${result.qualityScore}/100`));
console.log(chalk.blue(`🎯 Agents utilisés: ${result.agentsUsed?.join(', ')}`));
console.log(chalk.yellow(`⏱️ Durée: ${result.duration || 'N/A'}`));
if (result.architecture) {
console.log(chalk.magenta('\n🏗️ ARCHITECTURE:'));
console.log(JSON.stringify(result.architecture, null, 2));
}
if (result.implementation?.files) {
console.log(chalk.cyan('\n📁 FICHIERS GÉNÉRÉS:'));
for (const [filename, _] of result.implementation.files) {
console.log(chalk.gray(` ├─ ${filename}`));
}
}
if (result.qualityMetrics) {
console.log(chalk.blue('\n📈 MÉTRIQUES QUALITÉ:'));
Object.entries(result.qualityMetrics).forEach(([metric, value]) => {
console.log(chalk.gray(` ${metric}: ${value}`));
});
}
}
async displayCollaborationResults(collaboration) {
console.log(chalk.cyan('\n🤝 RÉSULTATS COLLABORATION'));
console.log('='.repeat(50));
console.log(chalk.green(`✅ Agents participants: ${collaboration.participants?.join(', ')}`));
console.log(chalk.blue(`🎯 Consensus atteint: ${collaboration.consensus ? 'Oui' : 'Non'}`));
if (collaboration.negotiations) {
console.log(chalk.yellow('\n💬 NÉGOCIATIONS:'));
collaboration.negotiations.forEach(neg => {
console.log(chalk.gray(` ${neg.agent}: ${neg.outcome}`));
});
}
}
async displayAuditResults(auditResults) {
console.log(chalk.cyan('\n🔍 RÉSULTATS AUDIT QUALITÉ'));
console.log('='.repeat(50));
console.log(chalk.green(`✅ Score global: ${auditResults.overallScore}/100`));
Object.entries(auditResults.details || {}).forEach(([category, score]) => {
const color = score >= 80 ? chalk.green : score >= 60 ? chalk.yellow : chalk.red;
console.log(color(` ${category}: ${score}/100`));
});
if (auditResults.criticalIssues?.length > 0) {
console.log(chalk.red('\n🚨 PROBLÈMES CRITIQUES:'));
auditResults.criticalIssues.forEach(issue => {
console.log(chalk.red(` ❌ ${issue}`));
});
}
if (auditResults.recommendations?.length > 0) {
console.log(chalk.blue('\n💡 RECOMMANDATIONS:'));
auditResults.recommendations.forEach(rec => {
console.log(chalk.blue(` 💡 ${rec}`));
});
}
}
async handlePostProcessing(result, options) {
const actions = [];
if (result.qualityScore < 80) {
actions.push('Amélioration qualité suggérée');
}
if (result.securityIssues?.length > 0) {
actions.push('Correction sécurité requise');
}
if (options.continuous) {
actions.push('Monitoring continu activé');
}
if (actions.length > 0) {
console.log(chalk.yellow('\n⚠️ ACTIONS SUGGÉRÉES:'));
actions.forEach(action => {
console.log(chalk.yellow(` • ${action}`));
});
}
// Sauvegarde des résultats
await this.saveSessionResults(result);
}
async saveSessionResults(result) {
const resultsDir = path.join(process.cwd(), '.ai-team-advanced');
const sessionFile = path.join(resultsDir, `session-${this.sessionId}.json`);
try {
await writeFile(sessionFile, JSON.stringify(result, null, 2));
console.log(chalk.gray(`📄 Résultats sauvegardés: ${sessionFile}`));
} catch (error) {
console.log(chalk.yellow('⚠️ Impossible de sauvegarder les résultats'));
}
}
async run() {
try {
await this.program.parseAsync();
} catch (error) {
console.error(chalk.red('Erreur:'), error.message);
process.exit(1);
}
}
}
// Lancement de l'application
const cli = new AITeamAdvancedCLI();
cli.run().catch(error => {
console.error(chalk.red('Erreur fatale:'), error);
process.exit(1);
});
export default AITeamAdvancedCLI;