aibot88 Enhanced AegisWallet Architecture Skill v3.0 - Brazilian Fintech Voice-First Assistant
About This Skill
This skill provides enhanced architecture guidance for voice-first Brazilian fintech applications, now specialized in real-world problem resolution with comprehensive documentation integration, MCP tools, and practical implementation examples. Use when designing voice interfaces, implementing PIX/Boletos, optimizing financial systems, or making technology stack decisions for Brazilian market applications.
What's New in v3.0
- 🔧 Practical Problem Resolution: Enhanced with actual code examples and working scripts
- 📚 Documentation Integration: Full sync with
docs/architecture/reference materials - 🇧🇷 Brazilian Compliance: Deep LGPD, PIX, and Open Banking implementation patterns
- ⚡ Performance Optimization: Sub-200ms voice response patterns and benchmarks
- 🎯 Enhanced Validation: Comprehensive scripts for architecture compliance
- 🚀 Emergency Recovery: Diagnostic and recovery scripts for production issues
When to Use This Skill
Use this skill when:
- Voice Interface Issues: "Voice commands are slow/unresponsive" → Use performance optimization patterns
- Brazilian Compliance: "Need to implement LGPD/PIX" → Use comprehensive implementation guides
- Architecture Decisions: "How should I structure X?" → Consult integrated documentation
- Performance Problems: "System is slow/lagging" → Use diagnostic scripts and patterns
- Security Implementation: "Need financial-grade security" → Use security patterns
- Real-time Sync Issues: "Data not updating properly" → Use real-time patterns
- Development Workflow: "How to implement X feature?" → Use templates and examples
Enhanced Troubleshooting Capabilities
Voice Performance Issues
Quando: "A autenticação está demorando 2+ segundos para responder comandos de voz"
Resposta: Use `scripts/performance_audit.py --directory .` e verifique:
- VITE_ENABLE_VOICE_REASONING está desabilitado
- Configurações de microfone e silêncio
- Sobrecarga de processamento de voz
- Otimizações de cache para comandos comuns
Architecture Consulting
Quando: "Preciso implementar PIX com Hono RPC"
Resposta: Consulte `docs/architecture/hono-rpc-patterns.md` para padrões detalhados:
- Endpoint structure: `/api/v1/pix/transfer`
- Validation: zValidator + authMiddleware
- Rate limiting para segurança PIX
- Autenticação dupla (senha + biometria)
- Tratamento de erro padronizado
System Recovery
Quando: "Sistema não está respondendo ou deu erro"
Resposta: Use `scripts/emergency-recovery.sh` para diagnóstico completo:
- Verificar API status (curl http://localhost:3000/health)
- Verificar Hono server status
- Verificar Supabase service status
- Executar recovery automatizado
📚 Enhanced Documentation Integration
This skill now provides complete integration with existing AegisWallet documentation:
Primary Documentation Sources
docs/architecture.md: Complete architecture overview and system designdocs/architecture/tech-stack.md: Detailed technology specifications and patternsdocs/architecture/hono-rpc-patterns.md: API design patterns with validation and securitydocs/architecture/voice-interface-patterns.md: Voice-first interaction patternsdocs/architecture/frontend-spec.md: Frontend architecture and component patternsdocs/architecture/ai-chat-architecture.md: AI-powered conversational interfacesdocs/LGPD_COMPLIANCE_TESTING_PENDING.md: Brazilian compliance implementation statusdocs/VERCEL_DEPLOYMENT_GUIDE.md: Deployment and production patterns
Quick Reference Documentation
# Architecture fundamentals
docs/architecture.md # System overview and design principles
# Technology stack specifics
docs/architecture/tech-stack.md # Bun + Hono + React 19 + Supabase patterns
docs/architecture/hono-rpc-patterns.md # API endpoint design and security
# Voice interface implementation
docs/architecture/voice-interface-patterns.md # Voice-first UI patterns
docs/architecture/ai-chat-architecture.md # AI conversation patterns
# Frontend development
docs/architecture/frontend-spec.md # React 19 + TanStack patterns
docs/architecture/frontend-architecture.md # Component architecture
# Compliance and deployment
docs/LGPD_COMPLIANCE_TESTING_PENDING.md # LGPD implementation checklist
docs/VERCEL_DEPLOYMENT_GUIDE.md # Production deployment guide
Enhanced MCP Integration
- Context7: Access latest framework documentation and best practices
- Tavily: Research Brazilian fintech regulations and market trends
- Serena: Semantic code analysis and architecture validation
- Apex Researcher: Multi-source validation for Brazilian compliance (≥95% accuracy)
🛠️ Enhanced Validation & Diagnostic Tools
Architecture Compliance Validation
# Complete architecture validation
python scripts/validate_architecture.py --directory . --output json
# Performance audit with voice-specific metrics
python scripts/performance_audit.py --directory . --benchmark voice
# Brazilian compliance validation
python scripts/brazilian_compliance_validator.py --check pix,lgpd,openbanking
# Emergency system recovery
./scripts/emergency-recovery.sh --full-scan
Performance Monitoring Scripts
# Voice response time analysis
python scripts/voice_performance_analyzer.py --target-ms 200
# Memory leak detection for voice components
python scripts/memory_leak_detector.py --focus voice-hooks
# Database query optimization
python scripts/database_performance_optimizer.py --analyze-financial-queries
Brazilian Compliance Testing
# LGPD compliance validation
python scripts/lgpd_compliance_test.py --comprehensive
# PIX transaction flow testing
python scripts/pix_transaction_validator.py --test-full-flow
# Open Banking integration testing
python scripts/openbanking_compliance_test.py --validate-spec-3.1
🎯 Enhanced NLU System
- Brazilian Portuguese Specialization: 6 major regional variations with 50+ slang terms
- Hit/Miss Tracking: Real-time analytics with learning feedback loops
- Error Recovery: Multi-strategy recovery with 80%+ success rate
- Context Processing: Multi-turn conversation context with user preferences
- Performance Monitoring: Sub-200ms processing with real-time health monitoring
🚀 Voice Performance Optimizations
- Processing Time: Reduced from 3-5s to ≤2s for voice commands
- Memory Management: Fixed memory leaks from intervals/timeouts
- Voice Activity Detection: Real-time speech detection with <20ms latency
- Timeout Optimization: All major timeouts reduced by 60-80%
- Performance Testing: Comprehensive test suite for validation
📊 Analytics & Learning
- Regional Analytics: Accuracy tracking by Brazilian region
- Pattern Evolution: Learning from user corrections and adaptations
- System Health: Comprehensive monitoring with automated alerting
- Performance Reports: Detailed insights and optimization suggestions
Essential Voice Commands
This skill provides guidance for implementing these 6 essential Brazilian voice commands:
- "Como está meu saldo?" - Balance inquiry with regional variations
- "Quanto posso gastar esse mês?" - Spending capacity check
- "Tem algum boleto programado?" - Bill inquiry (varies by region)
- "Tem algum recebimento programado?" - Income inquiry
- "Como ficará meu saldo no final do mês?" - Balance projection
- "Faz uma transferência para..." - Money transfer command
Performance Standards
Updated Targets (Post-Optimization)
- Voice Processing: ≤200ms (reduced from 500ms)
- Total Response: ≤500ms (reduced from 1000ms)
- Accuracy: 90%+ for Brazilian financial commands
- Error Recovery: 80%+ success rate
- System Uptime: 99.9%
- Regional Accuracy: 85-95% depending on region
Regional Performance Goals
- São Paulo (SP): 95% accuracy - Financial capital variations
- Rio de Janeiro (RJ): 92% accuracy - Carioca expressions
- Nordeste (NE): 88% accuracy - Regional slang and patterns
- Sul: 90% accuracy - Southern expressions and terminology
- Norte: 85% accuracy - Northern regional variations
- Centro-Oeste (CO): 87% accuracy - Central-west patterns
Core Architecture Expertise
Technology Stack Mastery
Runtime & Framework
- Bun: Package management and runtime (3-5x faster than npm)
- Hono: Edge-first API framework for sub-150ms response times
- React 19: Voice interface with concurrent features and hooks
- TypeScript 5.9.3: End-to-end type safety and strict mode
Database & Infrastructure
- Supabase: PostgreSQL + Auth + Realtime + Storage + RLS
- tRPC v11: Type-safe API procedures with automatic client generation
- TanStack Query v5: Real-time financial data synchronization
- TanStack Router v5: File-based routing with full TypeScript support
Frontend & UI
- Tailwind CSS 4.x: Utility-first styling with Brazilian localization
- shadcn/ui: WCAG 2.1 AA+ compliant accessible components
- Motion (Framer Motion): Voice interaction animations
- React Hook Form + Zod: Type-safe form validation
Brazilian Financial System Integration
PIX Implementation
// PIX transaction architecture
interface PIXTransaction {
id: string;
userId: string;
amount: Money;
pixKey: PIXKey;
description: string;
status: 'pending' | 'processing' | 'completed' | 'failed';
transactionId: string;
endToEndId: string;
createdAt: DateTime;
}
// PIX key management
interface PIXKey {
id: string;
userId: string;
keyType: 'email' | 'cpf' | 'cnpj' | 'phone' | 'random';
keyValue: string;
label?: string;
isFavorite: boolean;
isActive: boolean;
}
Boleto Processing
// Boleto payment workflow
interface BoletoPayment {
id: string;
barcode: string;
amount: Money;
dueDate: DateTime;
status: 'pending' | 'paid' | 'expired';
metadata: BoletoMetadata;
}
Enhanced Brazilian Portuguese Patterns with Regional Variations
// Complete regional pattern system for Brazilian Portuguese
interface BrazilianPortuguesePatterns {
// São Paulo (SP) - Financial capital variations
saoPaulo: {
greetings: ["oi", "eai", "beleza", "meu bem"];
financial: ["grana", "coiso", "boleta", "cê tá ligado?", "tipo assim"];
payments: ["faz um pix pra mim", "me manda o pix", "transfere na conta"];
questions: ["quanto tá?", "me fala o valor", "qualé o preço?"];
expressions: ["rolê", "parça", "mano", "vamos nessa"];
};
// Rio de Janeiro (RJ) - Carioca variations
rioDeJaneiro: {
greetings: ["eai", "beleza", "firmesa?", "demais"];
financial: ["grana", "dinhe", "ferinha", "caraca!"];
payments: ["me ajuda com o pix", "faz a transferência", "me passa o pix"];
questions: ["qualé o valor?", "quanto é?", "me fala quanto custa"];
expressions: ["maneiro", "sinistro", "você é brabo", "massa"];
};
// Nordeste (NE) - Regional variations
nordeste: {
greetings: ["oi", "eai", "bão?", "oxente"];
financial: ["bão", "grana", "coisa", "visse?", "meu filho"];
payments: ["me faz um pix", "manda o pix", "transfere pra cá"];
questions: ["quanto tá meu filho?", "qualé o valor visse?", "me diga quanto"];
expressions: ["oxente", "arre", "massa", "bão demais", "meu patrao"];
};
// Sul - Southern variations
sul: {
greetings: ["oi", "eai", "bah", "tchê"];
financial: ["grana", "dinhero", "coisa", "bah!"];
payments: ["me manda o pix tchê", "faz a transferência", "pix pra mim"];
questions: ["quanto é tchê?", "qualé o valor bah?", "me fala o preço"];
expressions: ["bah", "tchê", "guri", "legal", "show"];
};
}
// Voice command patterns for Brazilian financial operations
const BRAZILIAN_VOICE_COMMANDS = {
// Balance inquiries with regional variations
balanceQueries: [
"Como está meu saldo?", // Standard
"Quanto tenho na conta?", // Standard
"Me fala quanto tenho de grana", // SP/RJ
"Qualé o saldo da conta meu bem?", // SP
"Oxente, quanto tô tendo?", // NE
"Bah, me diz o saldo tchê", // Sul
"Me mostra quanto tenho", // General
],
// Spending capacity inquiries
spendingCapacity: [
"Quanto posso gastar esse mês?", // Standard
"Qualé meu limite?", // SP/RJ
"Me fala quanto sobra pra gastar", // General
"Oxente, dá pra gastar quanto?", // NE
"Bah, qualé o limite tchê?", // Sul
],
// Bill inquiries
billQueries: [
"Tem algum boleto programado?", // Standard
"Tem boleta pra pagar?", // SP
"Qualé os boletos?", // RJ
"Oxente, tem conta pra pagar?", // NE
"Tem alguma boleta vencendo?", // Sul
"Me fala das contas do mês", // General
],
// Income inquiries
incomeQueries: [
"Tem algum recebimento programado?", // Standard
"Vai entrar dinheiro esse mês?", // General
"Qualé os recebimentos?", // SP/RJ
"Oxente, vai entrar grana?", // NE
"Bah, vem dinheiro pra conta tchê?", // Sul
],
// Balance projections
balanceProjections: [
"Como ficará meu saldo no final do mês?", // Standard
"Quanto vou ter no fim do mês?", // General
"Me fala como fica o saldo", // SP
"Oxente, quanto vai sobrar?", // NE
"Bah, qualé o saldo final tchê?", // Sul
],
// Transfer commands
transferCommands: [
"Faz uma transferência para [nome]", // Standard
"Manda grana pra [nome]", // SP/RJ
"Pix pra [nome]", // All regions
"Transfere [valor] pra [nome]", // General
"Faz um pix pra [nome] meu bem", // SP
"Oxente, manda dinheiro pra [nome]", // NE
"Bah, me ajuda com pix pra [nome] tchê", // Sul
],
};
// Context-aware processing for Brazilian financial commands
interface BrazilianFinancialContext {
// User preferences and habits
userPreferences: {
region: keyof BrazilianPortuguesePatterns;
formalityLevel: number; // 0 (informal) to 1 (formal)
commonPhrases: string[];
slangUsage: number; // 0-1 frequency
};
// Financial context
financialContext: {
accountTypes: string[];
paymentMethods: string[];
billCategories: string[];
incomeSources: string[];
typicalAmounts: number[];
};
// Conversation context
conversationContext: {
previousCommands: string[];
currentIntent?: string;
entitiesExtracted: Record<string, any>;
confidenceLevel: number;
};
}
// Brazilian entity extraction patterns
interface BrazilianEntityPatterns {
// Money amounts with Brazilian variations
moneyPatterns: [
/\d+ reais?/i,
/\d+,\d{2}/i,
/R\$\s*\d+/i,
/\d+ real/i,
/\d+ pilas?/i, // Slang
/\d+ merreques?/i, // Slang
/\d+ granas?/i, // Slang
];
// PIX key patterns
pixKeyPatterns: {
cpf: /\d{3}\.\d{3}\.\d{3}-\d{2}/,
cnpj: /\d{2}\.\d{3}\.\d{3}\/\d{4}-\d{2}/,
phone: /\(\d{2}\)\s*\d{4,5}-\d{4}/,
email: /[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}/,
random: /[a-f0-9]{8}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{4}-[a-f0-9]{12}/i,
};
// Date patterns with Brazilian variations
datePatterns: [
/\d{1,2}\/\d{1,2}\/\d{4}/, // DD/MM/YYYY
/\d{1,2} de [a-z]+ de \d{4}/i, // "15 de janeiro de 2024"
/dia \d{1,2}/i, // "dia 15"
/mês que vem/i, // "mês que vem"
/semana que vem/i, // "semana que vem"
/hoje/i, // "hoje"
/amanhã/i, // "amanhã"
];
// Brazilian bill types
billTypes: [
/boleto/i,
/conta/i,
/fatura/i,
/aluguel/i,
/condomínio/i,
/escola/i,
/plano de saúde/i,
/internet/i,
/luz/i,
/água/i,
/telefone/i,
];
}
Voice-First Architecture
Voice Command Processing
// Essential voice commands system
interface VoiceCommand {
command: string;
intent: 'balance_query' | 'payment_query' | 'transfer_query' | 'schedule_check';
confidence: number;
response: string;
processingTime: number;
}
// Six essential voice commands
const ESSENTIAL_COMMANDS = [
"Como está meu saldo?", // Balance query
"Quanto posso gastar esse mês?", // Spending capacity
"Tem algum boleto programado?", // Scheduled bills
"Tem algum recebimento programado?", // Scheduled income
"Como ficará meu saldo no final do mês?", // Projection
"Faz uma transferência para..." // Money transfer
];
AI Autonomy Levels
interface AutonomyLevel {
level: number; // 50-95% autonomy progression
capabilities: string[];
confirmationRequired: boolean;
trustScore: number;
}
const AUTONOMY_LEVELS = {
LEARNING: { level: 25, requiresConfirmation: true, description: "Observing user patterns" },
ASSISTANT: { level: 50, requiresConfirmation: true, description: "Suggesting actions" },
AUTONOMOUS: { level: 75, requiresConfirmation: false, description: "Executing routine actions" },
TRUSTED: { level: 95, requiresConfirmation: false, description: "Full autonomous management" }
};
Real-Time Architecture
Event-Driven Design
// Domain events for financial operations
interface FinancialEvent {
id: string;
aggregateId: string;
aggregateType: 'Transaction' | 'Account' | 'Budget';
eventType: string;
data: any;
metadata: {
userId: string;
timestamp: string;
source: 'voice' | 'ui' | 'api' | 'webhook';
};
}
// Real-time event handling
class FinancialEventDispatcher {
async dispatch(event: FinancialEvent): Promise<void> {
// Store event in event store
await this.eventStore.save(event);
// Update real-time subscriptions
await this.realtimeService.publish(event);
// Execute synchronous handlers
await this.executeHandlers(event);
// Trigger AI autonomy evaluation
await this.aiEngine.evaluate(event);
}
}
Security & LGPD Compliance
Data Protection Architecture
// LGPD compliance implementation
interface LGPDCompliance {
dataMinimization: boolean; // Collect only necessary data
purposeLimitation: boolean; // Use data for declared purposes only
retentionPolicy: string; // Data retention periods
userRights: {
access: boolean; // Right to access data
deletion: boolean; // Right to be forgotten
portability: boolean; // Right to data portability
consent: boolean; // Explicit consent management
};
}
// Security layers
interface SecurityArchitecture {
encryption: {
atRest: 'AES-256'; // Supabase managed
inTransit: 'TLS 1.3'; // Enforced
};
authentication: {
primary: 'biometric'; // Face ID, Touch ID
secondary: 'password'; // Traditional backup
session: 'JWT'; // Secure tokens
};
authorization: {
rowLevelSecurity: true; // Tenant isolation
auditTrails: true; // Complete operation logging
};
}
Performance Optimization
Voice Response Optimization
// Performance targets for voice interactions
const VOICE_PERFORMANCE_TARGETS = {
speechToText: 200, // milliseconds
intentProcessing: 150, // milliseconds
actionExecution: 100, // milliseconds
textToSpeech: 50, // milliseconds
totalResponse: 500 // milliseconds maximum
};
// Caching strategy for financial data
interface CacheStrategy {
userProfiles: { ttl: 300000, max: 100 }; // 5 minutes
accountBalances: { ttl: 30000, max: 50 }; // 30 seconds
transactionHistory: { ttl: 60000, max: 200 }; // 1 minute
exchangeRates: { ttl: 86400000, max: 10 }; // 24 hours
};
Database Architecture
Schema Design Patterns
-- Core user entity with LGPD compliance
CREATE TABLE users (
id UUID PRIMARY KEY REFERENCES auth.users(id),
email TEXT UNIQUE NOT NULL,
autonomy_level INTEGER DEFAULT 50 CHECK (autonomy_level >= 50 AND autonomy_level <= 95),
voice_command_enabled BOOLEAN DEFAULT true,
data_processing_consent TIMESTAMP WITH TIME ZONE,
created_at TIMESTAMP WITH TIME ZONE DEFAULT now(),
updated_at TIMESTAMP WITH TIME ZONE DEFAULT now()
);
-- Financial transactions with audit trail
CREATE TABLE transactions (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
amount DECIMAL(15,2) NOT NULL,
description TEXT NOT NULL,
category TEXT,
transaction_date TIMESTAMP WITH TIME ZONE NOT NULL,
status TEXT DEFAULT 'pending' CHECK (status IN ('pending', 'completed', 'failed')),
metadata JSONB DEFAULT '{}',
voice_command_id UUID REFERENCES voice_commands(id),
created_at TIMESTAMP WITH TIME ZONE DEFAULT now()
);
-- Voice commands for AI learning
CREATE TABLE voice_commands (
id UUID PRIMARY KEY DEFAULT uuid_generate_v4(),
user_id UUID REFERENCES users(id) ON DELETE CASCADE,
command TEXT NOT NULL,
intent TEXT NOT NULL,
confidence DECIMAL(3,2),
response TEXT,
processing_time_ms INTEGER,
was_successful BOOLEAN,
created_at TIMESTAMP WITH TIME ZONE DEFAULT now()
);
Development Workflow Patterns
Essential Commands
# Development workflow
bun dev # Start full-stack development
bun dev:client # Frontend only (Vite + React)
bun dev:server # Backend only (Hono + tRPC)
# Quality assurance
bun lint # OXLint + Biome validation
bun type-check # TypeScript strict mode
bun test:coverage # Unit tests with coverage
bun quality # Full CI pipeline
# Database operations
bunx supabase db push # Apply migrations
bunx supabase gen types # Generate TypeScript types
bunx supabase db diff # Schema validation
Import Patterns
// Supabase client integration
import { supabase } from "@/integrations/supabase/client";
// tRPC procedures
import { router, protectedProcedure } from "@/server/trpc";
// React Query for server state
import { useQuery, useMutation } from "@tanstack/react-query";
// TanStack Router
import { createFileRoute } from "@tanstack/react-router";
// Voice processing
import { useVoiceRecognition } from "@/hooks/useVoiceRecognition";
Implementation Patterns
Component Architecture
// Voice-first component template
interface VoiceComponentProps {
readonly onVoiceCommand?: (command: VoiceCommand) => void;
readonly accessibilityLabel?: string;
readonly children?: React.ReactNode;
}
export const VoiceFinancialComponent: React.FC<VoiceComponentProps> = ({
onVoiceCommand,
accessibilityLabel,
children
}) => {
const { isListening, transcript } = useVoiceRecognition();
const { announceToScreenReader } = useAccessibility();
return (
<div
role="application"
aria-label={accessibilityLabel}
className={cn(
"voice-component",
isListening && "voice-listening"
)}
>
{children}
{isListening && (
<VoiceIndicator transcript={transcript} />
)}
</div>
);
};
Enhanced NLU System Architecture
// Complete NLU system with Brazilian Portuguese specialization
interface EnhancedNLUSystem {
// Core processing engine with sub-200ms target
processCommand: (audio: AudioBuffer) => Promise<NLUResult>;
// Brazilian Portuguese patterns with regional variations
brazilianPatterns: {
regions: RegionalPattern[];
slangTerms: SlangTerm[];
financialTerminology: FinancialTerm[];
};
// Learning analytics with hit/miss tracking
analytics: {
trackHitMiss: (command: string, success: boolean) => void;
getAccuracyMetrics: () => AccuracyMetrics;
generateLearningReport: () => LearningReport;
};
// Error recovery with multiple strategies
errorRecovery: {
classifyError: (error: NLUError) => ErrorType;
applyRecoveryStrategy: (error: NLUError) => Promise<NLUResult>;
learnFromCorrection: (original: string, corrected: string) => void;
};
// Performance monitoring and optimization
performance: {
trackProcessingTime: (duration: number) => void;
getSystemHealth: () => HealthMetrics;
generatePerformanceReport: () => PerformanceReport;
};
}
// Voice Activity Detection for real-time speech processing
interface VoiceActivityDetection {
// Real-time speech detection with <20ms latency
detectSpeech: (audioChunk: AudioBuffer) => boolean;
// Automatic speech end detection
detectSpeechEnd: (silenceDuration: number) => boolean;
// Energy-based voice activity detection
calculateEnergyLevel: (audio: AudioBuffer) => number;
}
// Performance optimization patterns
const VOICE_PERFORMANCE_TARGETS = {
speechToText: 200, // milliseconds (reduced from 500ms)
intentProcessing: 150, // milliseconds
actionExecution: 100, // milliseconds
textToSpeech: 50, // milliseconds
totalResponse: 500, // milliseconds maximum (reduced from 2000ms)
// Voice recognition settings
autoStopTimeout: 3000, // 3 seconds (reduced from 10s)
processingDelay: 100, // 100ms (reduced from 500ms)
minAudioDuration: 300, // 0.3 seconds minimum
maxAudioDuration: 10000, // 10 seconds maximum
silenceDuration: 1500, // 1.5 seconds (reduced from 2s)
};
// Brazilian Portuguese regional patterns
interface BrazilianRegionalPatterns {
// São Paulo variations
saoPaulo: {
slang: ["meu bem", "grana", "boleta", "rolê", "parça"];
patterns: ["quanto tá", "me fala", "tipo assim"];
};
// Rio de Janeiro variations
rioDeJaneiro: {
slang: ["maneiro", "caraca", "você é brabo", "demais"];
patterns: ["me ajuda", "qualé", "sinistro"];
};
// Nordeste variations
nordeste: {
slang: ["oxente", "bão", "arre", "massa", "visse"];
patterns: ["me diga", "como cê tá", "vamos nessa"];
};
// Sul variations
sul: {
slang: ["bah", "tchê", "guri", "legal", "show"];
patterns: ["me mostra", "quanto é", "vamos fazer"];
};
}
// Enhanced voice command hook with optimizations
interface OptimizedVoiceRecognition {
// Performance monitoring
processingTime: number;
successRate: number;
errorRate: number;
// Voice Activity Detection
voiceActivityDetection: VoiceActivityDetection;
// Brazilian Portuguese processing
regionalProcessor: BrazilianRegionalProcessor;
// Learning and analytics
analytics: NLUAnalytics;
// Error recovery
errorRecovery: ErrorRecoverySystem;
// Performance optimization methods
optimizeProcessing: () => void;
clearCache: () => void;
getPerformanceMetrics: () => PerformanceMetrics;
}
// Memory leak prevention patterns
const MEMORY_MANAGEMENT = {
// Cleanup intervals and timeouts
clearAllTimers: () => {
clearInterval(refreshInterval.current);
clearTimeout(timeoutRef.current);
clearTimeout(clearResponseRef.current);
},
// Abort controller for async operations
abortController: new AbortController(),
// Proper cleanup on unmount
cleanup: () => {
voiceActivityDetection?.cleanup();
abortController.abort();
clearAllTimers();
},
};
API Design Patterns
// tRPC procedure with comprehensive validation
export const createTransactionRouter = router({
create: protectedProcedure
.input(z.object({
amount: z.number().positive().max(1000000),
description: z.string().min(1).max(500),
category: z.enum(['food', 'transport', 'housing', 'entertainment', 'other']),
date: z.string().datetime().optional(),
voiceCommand: z.string().optional(),
}))
.mutation(async ({ ctx, input }) => {
// Business logic validation
if (input.amount > ctx.user.dailyLimit) {
throw new TRPCError({
code: 'FORBIDDEN',
message: 'Amount exceeds daily spending limit'
});
}
// Create transaction with audit trail
const transaction = await createTransaction({
userId: ctx.user.id,
...input,
source: 'voice_command',
metadata: {
ip: ctx.ip,
userAgent: ctx.userAgent,
}
});
// Real-time update
await ctx.realtime.publish(`user:${ctx.user.id}:transactions`, {
type: 'transaction_created',
data: transaction
});
return transaction;
}),
});
// Enhanced voice command processing API
export const voiceCommandRouter = router({
process: protectedProcedure
.input(z.object({
audioData: z.string(), // base64 encoded audio
region: z.enum(['SP', 'RJ', 'NE', 'SUL', 'NORTE', 'CO']).optional(),
context: z.object({
previousCommands: z.array(z.string()).optional(),
userPreferences: z.object({
language: z.string().optional(),
slangLevel: z.number().optional(), // 0-1 formality level
}).optional(),
}).optional(),
}))
.mutation(async ({ ctx, input }) => {
// Process with enhanced NLU system
const startTime = Date.now();
try {
const result = await enhancedNLUEngine.processCommand({
audioData: input.audioData,
userId: ctx.user.id,
region: input.region || 'SP',
context: input.context,
});
const processingTime = Date.now() - startTime;
// Track performance metrics
await voiceAnalytics.trackProcessing({
userId: ctx.user.id,
processingTime,
success: result.success,
confidence: result.confidence,
intent: result.intent,
});
return {
...result,
processingTime,
performanceTarget: processingTime <= VOICE_PERFORMANCE_TARGETS.totalResponse,
};
} catch (error) {
// Error recovery attempt
const recoveryResult = await errorRecovery.attemptRecovery({
error,
userId: ctx.user.id,
originalInput: input,
});
return recoveryResult;
}
}),
// Brazilian Portuguese pattern learning
learnPattern: protectedProcedure
.input(z.object({
originalCommand: z.string(),
correctedCommand: z.string(),
region: z.string(),
context: z.string().optional(),
}))
.mutation(async ({ ctx, input }) => {
await brazilianPatterns.learnFromCorrection({
userId: ctx.user.id,
original: input.originalCommand,
corrected: input.correctedCommand,
region: input.region,
context: input.context,
});
return { success: true };
}),
// Performance analytics endpoint
getAnalytics: protectedProcedure
.input(z.object({
timeframe: z.enum(['hour', 'day', 'week', 'month']),
metrics: z.array(z.enum([
'accuracy', 'latency', 'success_rate', 'error_rate', 'regional_performance'
])),
}))
.query(async ({ ctx, input }) => {
return voiceAnalytics.getDetailedMetrics({
userId: ctx.user.id,
timeframe: input.timeframe,
metrics: input.metrics,
});
}),
});
// Voice command optimization patterns
const VOICE_OPTIMIZATION_PATTERNS = {
// Caching strategies for frequently used commands
caching: {
commonCommands: new Map([
['saldo', { cachedResponse: true, ttl: 30000 }], // 30s cache
['transferência', { cachedResponse: false, ttl: 0 }],
['boletos', { cachedResponse: true, ttl: 60000 }], // 1m cache
]),
// Regional pattern caching
regionalPatterns: new Map([
['SP', { patterns: saoPauloPatterns, lastUpdated: Date.now() }],
['RJ', { patterns: rioPatterns, lastUpdated: Date.now() }],
['NE', { patterns: nordestePatterns, lastUpdated: Date.now() }],
]),
},
// Performance monitoring
monitoring: {
// Real-time metrics collection
collectMetrics: (command: string, processingTime: number, success: boolean) => {
performanceTracker.record({
command,
processingTime,
success,
timestamp: Date.now(),
userId: getCurrentUserId(),
});
},
// Health check system
healthCheck: async () => {
const health = await systemHealth.check({
voiceRecognition: { targetLatency: 200, currentLatency: getCurrentLatency() },
nluProcessing: { targetLatency: 150, currentLatency: getNLULatency() },
databaseOperations: { targetLatency: 100, currentLatency: getDBLatency() },
});
return health;
},
},
// Error recovery strategies
errorRecovery: {
strategies: [
'pattern_matching', // Try to match known patterns
'context_inference', // Use conversation context
'regional_adaptation', // Adapt for regional variations
'user_history', // Learn from user's past corrections
'clarification_request', // Ask user for help
],
applyStrategy: async (error: NLUError) => {
for (const strategy of errorRecovery.strategies) {
try {
const result = await applyRecoveryStrategy(strategy, error);
if (result.success) return result;
} catch (e) {
// Try next strategy
}
}
// Final fallback - ask for clarification
return requestClarification(error);
},
},
};
Validation & Quality Gates
Architecture Compliance Checklist
- KISS Principle: Simple, direct implementation without over-engineering
- YAGNI Principle: Only essential features from requirements implemented
- Type Safety: End-to-end TypeScript with no implicit any
- Voice First: Primary interaction through voice commands
- Real-time: Instant updates via Supabase subscriptions
- Security: Row Level Security on all database tables
- Performance: Sub-500ms voice response times (updated to ≤500ms target)
- Accessibility: WCAG 2.1 AA+ compliance
- LGPD: Brazilian data protection compliance
- Brazilian Market: PIX, boletos, Portuguese localization
- NLU System: Enhanced Natural Language Understanding with Brazilian Portuguese specialization
- Performance Monitoring: Real-time analytics and learning systems
- Voice Activity Detection: Real-time speech processing with <20ms detection
- Error Recovery: Multi-strategy recovery with 80%+ success rate
- Regional Adaptation: Support for 6 major Brazilian regional variations
Enhanced Code Quality Standards
- Test Coverage: 90%+ for critical business logic including NLU systems
- TypeScript: Strict mode enabled, zero implicit any
- Error Handling: Comprehensive error boundaries and user feedback
- Security: Input validation, SQL injection prevention, XSS protection
- Performance: Lighthouse score ≥90, Core Web Vitals compliance
- Voice Performance: Sub-200ms processing for 95% of voice commands
- Memory Management: Zero memory leaks from intervals/timeouts
- Regional Accuracy: 90%+ accuracy for Brazilian Portuguese variations
- System Health: 99.9% uptime with automated monitoring
Enhanced Performance Standards
// Updated performance targets based on latest optimizations
const ENHANCED_PERFORMANCE_TARGETS = {
// Voice processing (reduced from previous targets)
speechToText: 200, // milliseconds (reduced from 500ms)
intentProcessing: 150, // milliseconds (reduced from 300ms)
actionExecution: 100, // milliseconds (reduced from 200ms)
textToSpeech: 50, // milliseconds (reduced from 100ms)
totalResponse: 500, // milliseconds maximum (reduced from 1000ms)
// Voice recognition optimizations
autoStopTimeout: 3000, // 3 seconds (reduced from 10s)
processingDelay: 100, // 100ms (reduced from 500ms)
minAudioDuration: 300, // 0.3 seconds minimum
maxAudioDuration: 10000, // 10 seconds maximum (reduced from 30s)
silenceDuration: 1500, // 1.5 seconds (reduced from 2s)
// NLU system performance
nluProcessing: 150, // milliseconds target
accuracyThreshold: 0.90, // 90% accuracy target
errorRecoveryRate: 0.80, // 80% error recovery rate
cacheHitRate: 0.60, // 60% cache hit rate
// Regional performance targets
regionalAccuracy: {
SP: 0.95, // São Paulo: 95%
RJ: 0.92, // Rio de Janeiro: 92%
NE: 0.88, // Nordeste: 88%
SUL: 0.90, // Sul: 90%
NORTE: 0.85, // Norte: 85%
CO: 0.87, // Centro-Oeste: 87%
},
// System health targets
systemUptime: 0.999, // 99.9% uptime
memoryUsage: 0.75, // 75% maximum memory usage
cpuUsage: 0.70, // 70% maximum CPU usage
databaseLatency: 100, // 100ms maximum database latency
};
Enhanced Quality Gates Checklist
- Voice Processing: Sub-200ms speech-to-text processing
- NLU Accuracy: 90%+ accuracy for Brazilian financial commands
- Regional Support: 6 major Brazilian regions with dedicated patterns
- Error Recovery: 80%+ success rate for intelligent error recovery
- Performance Monitoring: Real-time analytics with automated alerting
- Learning System: Continuous learning from user corrections
- Memory Management: Zero memory leaks from intervals/timeouts
- Voice Activity Detection: Real-time speech detection with <20ms latency
- Cache Performance: 60%+ hit rate for common commands
- System Health: 99.9% uptime with comprehensive monitoring
Enhanced Testing Requirements
// Comprehensive testing patterns for voice systems
const ENHANCED_TESTING_REQUIREMENTS = {
// Unit tests
unitTests: {
nluEngine: 95, // 95% coverage for NLU engine
brazilianPatterns: 100, // 100% coverage for regional patterns
errorRecovery: 90, // 90% coverage for error recovery
performanceTracking: 85, // 85% coverage for performance systems
},
// Integration tests
integrationTests: {
voiceProcessing: 90, // 90% coverage for end-to-end voice processing
regionalVariations: 85, // 85% coverage for regional pattern testing
realTimeUpdates: 80, // 80% coverage for real-time systems
errorRecovery: 85, // 85% coverage for error recovery scenarios
},
// Performance tests
performanceTests: {
voiceLatency: 'sub_500ms', // All voice operations under 500ms
memoryUsage: 'no_leaks', // Zero memory leaks
concurrency: '100_users', // Support for 100 concurrent users
regionalAccuracy: '90_percent_plus', // 90%+ accuracy across regions
},
// Accessibility tests
accessibilityTests: {
screenReader: 'wcag_aa_plus', // WCAG 2.1 AA+ compliance
voiceNavigation: 'full_support', // Full voice navigation support
keyboardNavigation: 'complete', // Complete keyboard navigation
colorContrast: '4_5_ratio', // 4.5:1 minimum contrast ratio
},
// Security tests
securityTests: {
sqlInjection: 'prevention', // SQL injection prevention
xssPrevention: 'full', // XSS prevention
dataEncryption: 'aes256', // AES-256 encryption
lgpdCompliance: 'full', // Full LGPD com
…(truncated)