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ai-team-orchestrator

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🧠 AI Team Advanced - Maximum Quality Agent System avec 9 agents ultra-spĂ©cialisĂ©s et collaboration intelligente

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#!/usr/bin/env node /** * 🎯 Agents SpĂ©cialisĂ©s AvancĂ©s - Architecture de Collaboration Intelligente * * Agents avec capacitĂ©s d'auto-amĂ©lioration et nĂ©gociation inter-agents */ import { readFile, writeFile } from 'fs/promises'; import { execSync } from 'child_process'; import crypto from 'crypto'; /** * đŸ€– Agent Orchestrateur - Cerveau central avec IA dĂ©cisionnelle */ export class OrchestratorAgent { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.collaborationHistory = new Map(); this.performanceMetrics = new Map(); this.decisionEngine = new DecisionEngine(aiClient); } async createMasterPlan(taskDescription, requirements) { const contextAnalysis = await this.analyzeProjectContext(); const complexityAnalysis = await this.analyzeComplexity(taskDescription); const resourcePlanning = await this.planResources(taskDescription, complexityAnalysis); const prompt = ` En tant qu'Orchestrateur Senior avec expertise en gestion de projets techniques complexes, crĂ©ez un plan maĂźtre dĂ©taillĂ© et optimisĂ©. TÂCHE: ${taskDescription} CONTEXTE PROJET: ${JSON.stringify(contextAnalysis, null, 2)} ANALYSE COMPLEXITÉ: ${JSON.stringify(complexityAnalysis, null, 2)} RESSOURCES DISPONIBLES: ${JSON.stringify(resourcePlanning, null, 2)} VOTRE MISSION CRITIQUE: 1. DĂ©composer la tĂąche en sous-tĂąches optimales 2. Identifier les dĂ©pendances critiques 3. DĂ©finir les critĂšres de succĂšs mesurables 4. PrĂ©voir les risques et mitigation 5. Orchestrer la collaboration inter-agents 6. Établir la roadmap d'exĂ©cution STRUCTURE JSON RIGOUREUSE: { "metadata": { "complexity": "low|medium|high|enterprise", "estimatedDuration": "duration in hours", "riskLevel": "low|medium|high", "requiredAgents": ["agent1", "agent2"], "criticalPath": [] }, "breakdown": { "phases": [ { "name": "", "description": "", "dependencies": [], "assignedAgents": [], "deliverables": [], "successCriteria": [], "estimatedDuration": "" } ] }, "qualityGates": [ { "phase": "", "criteria": [], "threshold": "", "validator": "agent" } ], "riskManagement": { "risks": [], "mitigation": [], "contingencyPlans": [] }, "collaboration": { "workflows": [], "communications": [], "reviewProcess": [] } } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert Orchestrateur avec maĂźtrise de la gestion de projets techniques complexes et coordination d'Ă©quipes spĂ©cialisĂ©es." }, { role: "user", content: prompt } ], max_tokens: 3000, temperature: 0.1 }); const masterPlan = JSON.parse(response.choices[0].message.content); // Enrichissement avec l'intelligence dĂ©cisionnelle masterPlan.decisionPoints = await this.decisionEngine.identifyDecisionPoints(masterPlan); masterPlan.optimizations = await this.optimizePlan(masterPlan); return masterPlan; } async analyzeProjectContext() { try { const packageJson = JSON.parse(await readFile('package.json', 'utf8')); const tsConfig = await this.checkFileExists('tsconfig.json'); const gitignore = await this.checkFileExists('.gitignore'); return { dependencies: packageJson.dependencies || {}, devDependencies: packageJson.devDependencies || {}, scripts: packageJson.scripts || {}, hasTypeScript: tsConfig, projectStructure: await this.analyzeProjectStructure(), gitStatus: await this.getGitStatus() }; } catch (error) { return { error: 'Unable to analyze project context', details: error.message }; } } async analyzeComplexity(taskDescription) { const prompt = ` Analysez la complexitĂ© de cette tĂąche de dĂ©veloppement avec expertise technique. TÂCHE: ${taskDescription} Évaluez selon ces dimensions: 1. ComplexitĂ© technique (algorithmes, architecture) 2. ComplexitĂ© d'intĂ©gration (APIs, services tiers) 3. ComplexitĂ© UI/UX (interfaces, interactions) 4. ComplexitĂ© de donnĂ©es (structures, transformations) 5. ComplexitĂ© de tests (couverture, scĂ©narios) 6. ComplexitĂ© de dĂ©ploiement (infrastructure, CI/CD) RETOURNEZ UN JSON: { "overall": "low|medium|high|enterprise", "dimensions": { "technical": {"score": 1-10, "factors": []}, "integration": {"score": 1-10, "factors": []}, "ui": {"score": 1-10, "factors": []}, "data": {"score": 1-10, "factors": []}, "testing": {"score": 1-10, "factors": []}, "deployment": {"score": 1-10, "factors": []} }, "estimatedEffort": "hours", "recommendedTeamSize": number, "criticalChallenges": [] } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en estimation de complexitĂ© de projets logiciels." }, { role: "user", content: prompt } ], max_tokens: 1500, temperature: 0.1 }); return JSON.parse(response.choices[0].message.content); } async negotiateWithAgents(masterPlan, agentFeedbacks) { // SystĂšme de nĂ©gociation intelligente entre agents const negotiations = new Map(); for (const [agentName, feedback] of Object.entries(agentFeedbacks)) { if (feedback.concerns || feedback.suggestions) { const negotiation = await this.conductNegotiation(agentName, feedback, masterPlan); negotiations.set(agentName, negotiation); } } return this.consolidateNegotiations(negotiations, masterPlan); } async conductNegotiation(agentName, feedback, masterPlan) { const prompt = ` NĂ©gociation intelligente entre l'Orchestrateur et l'agent ${agentName}. PLAN MAÎTRE: ${JSON.stringify(masterPlan, null, 2)} FEEDBACK AGENT ${agentName}: ${JSON.stringify(feedback, null, 2)} En tant qu'Orchestrateur expert en rĂ©solution de conflits techniques: 1. Analysez les prĂ©occupations lĂ©gitimes de l'agent 2. Évaluez l'impact sur le plan global 3. Proposez des compromis optimaux 4. Maintenez la cohĂ©rence globale RÉSULTAT JSON: { "analysis": "analyse des prĂ©occupations", "impact": "impact sur le plan global", "compromise": "solution de compromis", "updatedPlan": "modifications proposĂ©es", "justification": "justification des dĂ©cisions" } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en nĂ©gociation technique et rĂ©solution de conflits dans les projets logiciels." }, { role: "user", content: prompt } ], max_tokens: 2000, temperature: 0.2 }); return JSON.parse(response.choices[0].message.content); } } /** * ⚙ Agent Backend Expert - Architecture et performance maximales */ export class BackendExpertAgent { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.tools = [ 'performanceProfiler', 'securityScanner', 'architectureValidator', 'databaseOptimizer', 'apiDesigner' ]; } async createAPISpecifications(architecture) { const prompt = ` En tant qu'Expert Backend Senior avec expertise en architectures haute performance, crĂ©ez des spĂ©cifications API exceptionnelles. ARCHITECTURE: ${JSON.stringify(architecture, null, 2)} VOTRE EXPERTISE POUSSÉE: - Microservices et architectures distribuĂ©es - Optimisations de performance extrĂȘmes - SĂ©curitĂ© niveau enterprise (OWASP Top 10+) - Patterns avancĂ©s (CQRS, Event Sourcing, Saga) - ObservabilitĂ© et monitoring avancĂ© - ScalabilitĂ© horizontale et verticale SPÉCIFICATIONS MAXIMALES REQUISES: 1. Architecture API RESTful/GraphQL optimale 2. Patterns de sĂ©curitĂ© enterprise-grade 3. StratĂ©gies de cache multi-niveaux 4. Gestion d'erreurs sophistiquĂ©e 5. Monitoring et observabilitĂ© complets 6. Tests de charge et performance STRUCTURE JSON EXIGÉE: { "apiDesign": { "style": "REST|GraphQL|gRPC", "endpoints": [], "authentication": {}, "authorization": {}, "rateLimit": {}, "caching": {} }, "architecture": { "patterns": [], "layers": [], "dependencies": [], "dataFlow": {} }, "performance": { "targets": {}, "optimizations": [], "caching": {}, "database": {} }, "security": { "authentication": {}, "authorization": {}, "encryption": {}, "validation": {}, "monitoring": {} }, "monitoring": { "metrics": [], "logging": {}, "tracing": {}, "alerting": {} }, "codeGeneration": { "models": [], "controllers": [], "services": [], "middleware": [], "tests": [] } } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert Backend Architect avec maĂźtrise des architectures haute performance et sĂ©curitĂ© enterprise." }, { role: "user", content: prompt } ], max_tokens: 4000, temperature: 0.1 }); return JSON.parse(response.choices[0].message.content); } async generateOptimizedCode(specifications) { const files = new Map(); const codeGen = specifications.codeGeneration; // GĂ©nĂ©ration des modĂšles de donnĂ©es for (const model of codeGen.models) { const code = await this.generateModel(model, specifications); files.set(`models/${model.name}.js`, code); } // GĂ©nĂ©ration des contrĂŽleurs for (const controller of codeGen.controllers) { const code = await this.generateController(controller, specifications); files.set(`controllers/${controller.name}.js`, code); } // GĂ©nĂ©ration des services for (const service of codeGen.services) { const code = await this.generateService(service, specifications); files.set(`services/${service.name}.js`, code); } // GĂ©nĂ©ration des middleware for (const middleware of codeGen.middleware) { const code = await this.generateMiddleware(middleware, specifications); files.set(`middleware/${middleware.name}.js`, code); } // Configuration de sĂ©curitĂ© const securityConfig = await this.generateSecurityConfiguration(specifications.security); files.set('config/security.js', securityConfig); // Configuration de monitoring const monitoringConfig = await this.generateMonitoringConfiguration(specifications.monitoring); files.set('config/monitoring.js', monitoringConfig); return files; } async generateModel(modelSpec, specifications) { const prompt = ` GĂ©nĂ©rez un modĂšle de donnĂ©es Node.js de qualitĂ© enterprise maximale. SPÉCIFICATIONS: ${JSON.stringify(modelSpec, null, 2)} CONTEXTE SÉCURITÉ: ${JSON.stringify(specifications.security, null, 2)} EXIGENCES ENTERPRISE: - Validation de donnĂ©es stricte avec Joi/Zod - SĂ©rialisation sĂ©curisĂ©e - Audit trail automatique - Relations optimisĂ©es (si ORM) - Indexation database intelligente - Cache layer intĂ©grĂ© - Gestion d'erreurs robuste - Documentation JSDoc complĂšte - Tests unitaires exhaustifs PRODUISEZ UN MODÈLE DE NIVEAU SENIOR. `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en modĂ©lisation de donnĂ©es avec expertise ORM et optimisations base de donnĂ©es." }, { role: "user", content: prompt } ], max_tokens: 2500, temperature: 0.1 }); return response.choices[0].message.content; } async generateController(controllerSpec, specifications) { const prompt = ` CrĂ©ez un contrĂŽleur API Node.js de niveau enterprise avec sĂ©curitĂ© maximale. SPÉCIFICATIONS: ${JSON.stringify(controllerSpec, null, 2)} ARCHITECTURE API: ${JSON.stringify(specifications.apiDesign, null, 2)} STANDARDS ENTERPRISE: - Validation stricte des inputs - Authentification/Autorisation robuste - Gestion d'erreurs standardisĂ©e - Rate limiting intelligent - Logging et monitoring complets - Cache stratĂ©gique - Documentation OpenAPI - Tests d'intĂ©gration complets - Patterns async/await optimisĂ©s GÉNÉREZ UN CONTRÔLEUR DE QUALITÉ MAXIMALE. `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en dĂ©veloppement d'APIs REST/GraphQL avec sĂ©curitĂ© enterprise." }, { role: "user", content: prompt } ], max_tokens: 2500, temperature: 0.1 }); return response.choices[0].message.content; } } /** * đŸ§Ș Agent QA Engineer - Tests et validation exhaustifs */ export class QAEngineerAgent { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.tools = [ 'testCoverageAnalyzer', 'performanceTester', 'securityTester', 'accessibilityTester', 'e2eOrchestrator' ]; } async createTestStrategy(architecture) { const prompt = ` En tant que QA Engineer Senior expert en stratĂ©gies de test avancĂ©es, dĂ©veloppez une stratĂ©gie de test exhaustive et optimisĂ©e. ARCHITECTURE: ${JSON.stringify(architecture, null, 2)} VOTRE EXPERTISE AVANCÉE: - Test-Driven Development (TDD) et Behavior-Driven Development (BDD) - Pyramide de tests optimisĂ©e - Tests de performance et charge - Tests de sĂ©curitĂ© automatisĂ©s - Tests d'accessibilitĂ© WCAG 2.1 AAA - Tests E2E avec orchestration intelligente - Tests de rĂ©gression automatisĂ©s - Property-based testing STRATÉGIE COMPLÈTE REQUISE: 1. Pyramide de tests optimisĂ©e par composant 2. Couverture de code >95% avec qualitĂ© 3. Tests de performance avec seuils stricts 4. Tests de sĂ©curitĂ© automatisĂ©s 5. Tests d'accessibilitĂ© intĂ©grĂ©s 6. CI/CD avec quality gates 7. Monitoring de qualitĂ© en continu STRUCTURE JSON COMPLÈTE: { "strategy": { "approach": "TDD|BDD|hybrid", "coverage": { "target": "percentage", "thresholds": {}, "exclusions": [] }, "levels": { "unit": {}, "integration": {}, "e2e": {}, "performance": {}, "security": {}, "accessibility": {} } }, "tools": { "unit": [], "integration": [], "e2e": [], "performance": [], "security": [], "accessibility": [] }, "automation": { "ci_cd": {}, "quality_gates": [], "reporting": {}, "notifications": {} }, "codeGeneration": { "unitTests": [], "integrationTests": [], "e2eTests": [], "performanceTests": [], "securityTests": [], "accessibilityTests": [] } } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert QA Engineer avec maĂźtrise des stratĂ©gies de test avancĂ©es et automation." }, { role: "user", content: prompt } ], max_tokens: 3500, temperature: 0.1 }); return JSON.parse(response.choices[0].message.content); } async generateComprehensiveTests(specifications) { const files = new Map(); const codeGen = specifications.codeGeneration; // Tests unitaires for (const test of codeGen.unitTests) { const code = await this.generateUnitTest(test, specifications); files.set(`tests/unit/${test.file}`, code); } // Tests d'intĂ©gration for (const test of codeGen.integrationTests) { const code = await this.generateIntegrationTest(test, specifications); files.set(`tests/integration/${test.file}`, code); } // Tests E2E for (const test of codeGen.e2eTests) { const code = await this.generateE2ETest(test, specifications); files.set(`tests/e2e/${test.file}`, code); } // Tests de performance for (const test of codeGen.performanceTests) { const code = await this.generatePerformanceTest(test, specifications); files.set(`tests/performance/${test.file}`, code); } // Configuration Jest/Cypress optimisĂ©e const jestConfig = await this.generateJestConfiguration(specifications); files.set('jest.config.js', jestConfig); const cypressConfig = await this.generateCypressConfiguration(specifications); files.set('cypress.config.js', cypressConfig); return files; } async performQualityAudit(implementation) { const auditResults = { codeQuality: await this.auditCodeQuality(implementation), testCoverage: await this.auditTestCoverage(implementation), performance: await this.auditPerformance(implementation), security: await this.auditSecurity(implementation), accessibility: await this.auditAccessibility(implementation), bestPractices: await this.auditBestPractices(implementation) }; return { overall: this.calculateOverallQuality(auditResults), details: auditResults, recommendations: await this.generateRecommendations(auditResults), actionItems: await this.generateActionItems(auditResults) }; } } /** * 🔒 Agent Security Expert - SĂ©curitĂ© enterprise maximale */ export class SecurityExpertAgent { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.tools = [ 'vulnerabilityScanner', 'penetrationTester', 'complianceChecker', 'cryptographyAnalyzer', 'threatModeler' ]; } async analyzeSecurityRequirements(architecture) { const prompt = ` En tant qu'Expert en SĂ©curitĂ© Senior avec certifications CISSP et CEH, analysez et dĂ©finissez les exigences de sĂ©curitĂ© maximales. ARCHITECTURE: ${JSON.stringify(architecture, null, 2)} VOTRE EXPERTISE AVANCÉE: - OWASP Top 10 et au-delĂ  - Cryptographie avancĂ©e et PKI - Zero Trust Architecture - Threat modeling et risk assessment - Compliance (GDPR, SOX, HIPAA, PCI-DSS) - Security by Design - DevSecOps et security automation ANALYSE SÉCURITAIRE COMPLÈTE: 1. Threat modeling dĂ©taillĂ© 2. Analyse des surfaces d'attaque 3. StratĂ©gies de dĂ©fense en profondeur 4. Cryptographie et gestion des clĂ©s 5. Authentification et autorisation avancĂ©es 6. Monitoring et dĂ©tection d'intrusions 7. Compliance et audit STRUCTURE JSON SÉCURISÉE: { "threatModel": { "assets": [], "threats": [], "vulnerabilities": [], "countermeasures": [] }, "security": { "authentication": { "methods": [], "mfa": {}, "tokenManagement": {} }, "authorization": { "model": "RBAC|ABAC|ACL", "policies": [], "enforcement": {} }, "encryption": { "inTransit": {}, "atRest": {}, "keyManagement": {} }, "inputValidation": { "sanitization": [], "validation": [], "filtering": [] } }, "compliance": { "standards": [], "requirements": [], "controls": [] }, "monitoring": { "logging": {}, "siem": {}, "alerting": {}, "forensics": {} }, "codeGeneration": { "securityMiddleware": [], "cryptoUtils": [], "validators": [], "monitors": [] } } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en SĂ©curitĂ© CybernĂ©tique avec expertise en architectures sĂ©curisĂ©es et compliance." }, { role: "user", content: prompt } ], max_tokens: 4000, temperature: 0.1 }); return JSON.parse(response.choices[0].message.content); } async performSecurityAudit(implementation) { const auditResults = { vulnerabilities: await this.scanVulnerabilities(implementation), authentication: await this.auditAuthentication(implementation), authorization: await this.auditAuthorization(implementation), encryption: await this.auditEncryption(implementation), inputValidation: await this.auditInputValidation(implementation), logging: await this.auditLogging(implementation), compliance: await this.auditCompliance(implementation) }; return { securityScore: this.calculateSecurityScore(auditResults), findings: auditResults, riskAssessment: await this.assessRisks(auditResults), recommendations: await this.generateSecurityRecommendations(auditResults), remediationPlan: await this.createRemediationPlan(auditResults) }; } } /** * 📊 Agent Performance Optimizer - Optimisation extrĂȘme */ export class PerformanceOptimizerAgent { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.tools = [ 'performanceProfiler', 'memoryAnalyzer', 'networkOptimizer', 'databaseOptimizer', 'cacheOptimizer' ]; } async definePerformanceTargets(architecture) { const prompt = ` En tant qu'Expert en Performance Senior avec expertise en optimisations extrĂȘmes, dĂ©finissez des cibles de performance ambitieuses mais rĂ©alisables. ARCHITECTURE: ${JSON.stringify(architecture, null, 2)} VOTRE EXPERTISE POUSSÉE: - Profiling et optimisation micro-benchmarks - Optimisations database et requĂȘtes complexes - Cache multi-niveaux et stratĂ©gies avancĂ©es - Optimisations rĂ©seau et CDN - Performance budgets et monitoring - Optimisations compilation et bundling - ParallĂ©lisation et asynchronisme avancĂ© DÉFINISSEZ DES CIBLES MAXIMALES: 1. MĂ©triques Core Web Vitals optimales 2. Temps de rĂ©ponse API sub-100ms 3. Optimisations base de donnĂ©es avancĂ©es 4. StratĂ©gies de cache sophistiquĂ©es 5. Optimisations rĂ©seau et CDN 6. Monitoring performance en temps rĂ©el STRUCTURE JSON PERFORMANCE: { "targets": { "web": { "FCP": "target in ms", "LCP": "target in ms", "FID": "target in ms", "CLS": "target score", "TTI": "target in ms" }, "api": { "responseTime": "target in ms", "throughput": "requests per second", "concurrency": "concurrent users", "errorRate": "percentage" }, "database": { "queryTime": "target in ms", "connectionPool": "size", "cacheHitRatio": "percentage" } }, "optimizations": { "frontend": [], "backend": [], "database": [], "infrastructure": [] }, "monitoring": { "metrics": [], "alerts": [], "dashboards": [] }, "codeGeneration": { "optimizers": [], "profilers": [], "benchmarks": [] } } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en Optimisation Performance avec maĂźtrise des techniques avancĂ©es." }, { role: "user", content: prompt } ], max_tokens: 3000, temperature: 0.1 }); return JSON.parse(response.choices[0].message.content); } } /** * 🔍 Agent Code Reviewer - Review automatisĂ©e intelligente */ export class CodeReviewerAgent { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.tools = [ 'staticAnalyzer', 'complexityAnalyzer', 'securityAnalyzer', 'performanceAnalyzer', 'bestPracticesChecker' ]; } async performCodeReview(implementation) { const reviewResults = { codeQuality: await this.reviewCodeQuality(implementation), security: await this.reviewSecurity(implementation), performance: await this.reviewPerformance(implementation), maintainability: await this.reviewMaintainability(implementation), testability: await this.reviewTestability(implementation), documentation: await this.reviewDocumentation(implementation) }; return { overallScore: this.calculateReviewScore(reviewResults), findings: reviewResults, suggestions: await this.generateSuggestions(reviewResults), refactoringOpportunities: await this.identifyRefactoringOpportunities(reviewResults) }; } } /** * 📝 Agent Documentation Specialist - Documentation technique excellente */ export class DocumentationSpecialistAgent { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.tools = [ 'apiDocumentator', 'architectureDocumentator', 'tutorialGenerator', 'changelogGenerator' ]; } async generateFullDocumentation(projectData) { const documentation = { technical: await this.generateTechnicalDocumentation(projectData), api: await this.generateAPIDocumentation(projectData), user: await this.generateUserDocumentation(projectData), deployment: await this.generateDeploymentDocumentation(projectData), contributing: await this.generateContributingGuide(projectData) }; return documentation; } } /** * 🧠 Moteur de DĂ©cision Intelligent */ class DecisionEngine { constructor(aiClient) { this.ai = aiClient; this.model = "deepseek-ai/DeepSeek-R1-Distill-Llama-70B"; this.decisionHistory = new Map(); } async identifyDecisionPoints(masterPlan) { // Identification intelligente des points de dĂ©cision critiques const prompt = ` Identifiez les points de dĂ©cision critiques dans ce plan maĂźtre. PLAN: ${JSON.stringify(masterPlan, null, 2)} Identifiez: 1. Choix technologiques critiques 2. Arbitrages performance vs complexitĂ© 3. DĂ©cisions d'architecture impactantes 4. Points de validation qualitĂ© 5. DĂ©cisions de prioritisation Format JSON attendu: { "decisionPoints": [ { "id": "unique-id", "type": "technology|architecture|performance|quality|priority", "description": "description", "options": [], "criteria": [], "impact": "low|medium|high|critical", "timeline": "when decision needed" } ] } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en analyse de dĂ©cisions techniques complexes." }, { role: "user", content: prompt } ], max_tokens: 2000, temperature: 0.1 }); return JSON.parse(response.choices[0].message.content); } async makeIntelligentDecision(decisionPoint, context) { // Prise de dĂ©cision intelligente basĂ©e sur l'analyse multi-critĂšres const prompt = ` Prenez une dĂ©cision technique optimale basĂ©e sur l'analyse multi-critĂšres. POINT DE DÉCISION: ${JSON.stringify(decisionPoint, null, 2)} CONTEXTE: ${JSON.stringify(context, null, 2)} Analysez selon: 1. Impact technique (complexitĂ©, maintenabilitĂ©) 2. Impact performance (vitesse, scalabilitĂ©) 3. Impact business (coĂ»t, time-to-market) 4. Impact qualitĂ© (robustesse, testabilitĂ©) 5. Impact Ă©quipe (expertise, courbe apprentissage) Recommandation JSON: { "recommendation": "option choisie", "reasoning": "justification dĂ©taillĂ©e", "tradeoffs": "compromis identifiĂ©s", "risks": "risques associĂ©s", "mitigation": "stratĂ©gies de mitigation", "confidence": "score de confiance 1-100" } `; const response = await this.ai.chat.completions.create({ model: this.model, messages: [ { role: "system", content: "Expert en prise de dĂ©cision technique avec analyse multi-critĂšres." }, { role: "user", content: prompt } ], max_tokens: 1500, temperature: 0.1 }); const decision = JSON.parse(response.choices[0].message.content); // Enregistrement pour apprentissage this.decisionHistory.set(decisionPoint.id, { decisionPoint, context, decision, timestamp: new Date().toISOString() }); return decision; } } export { OrchestratorAgent, BackendExpertAgent, QAEngineerAgent, SecurityExpertAgent, PerformanceOptimizerAgent, CodeReviewerAgent, DocumentationSpecialistAgent, DecisionEngine };