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121:[["b_8wTNyx3JtUP",{"git":{"ref":"main","sha":"8fee5ea5e35acbd05d7bfed374a3fd6fcf66666f","type":"github","repoId":0,"repoName":"v0-spanish-conversation","ownerName":"lefrato","commitMessage":"feat: update code to use Bedrock on-demand model\n\nSwitch to compatible model and update documentation for model usage."}}]] 122:[["b_8wTNyx3JtUP",null]] 123:[["b_8wTNyx3JtUP",true]] 124:[["b_8wTNyx3JtUP",true]] 125:[] 126:T463,#!/bin/bash # Script para iniciar la aplicación con variables de entorno # Uso: ./start.sh echo "Cargando variables de entorno..." # Verificar que existe .env.local if [ ! -f .env.local ]; then echo "ERROR: No se encontró el archivo .env.local" echo "Copia .env.example a .env.local y configura tus credenciales" exit 1 fi # Cargar variables de entorno export $(cat .env.local | grep -v '^#' | xargs) # Verificar que las variables críticas estén configuradas if [ -z "$AWS_ACCESS_KEY_ID" ]; then echo "ERROR: AWS_ACCESS_KEY_ID no está configurado en .env.local" exit 1 fi if [ -z "$AWS_SECRET_ACCESS_KEY" ]; then echo "ERROR: AWS_SECRET_ACCESS_KEY no está configurado en .env.local" exit 1 fi if [ -z "$AWS_REGION" ]; then echo "ADVERTE3c:o160,NCIA: AWS_REGION no configurado, usando us-east-1" export AWS_REGION=us-east-1 fi echo "Variables de entorno cargadas:" echo " AWS_REGION: $AWS_REGION" echo " AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID:0:8}..." echo " AWS_SECRET_ACCESS_KEY: [OCULTO]" # Iniciar la aplicación echo "Iniciando aplicación en modo producción..." npm start127:Tbc8c,3c:obc8c,[V0_FILE]markdown:file="DEPLOYMENT.md" isMerged="true" # Guía de Despliegue con Amazon Bedrock ## Requisitos 1. **Cuenta de AWS** con acceso a Amazon Bedrock 2. **Credenciales IAM** con permisos para Bedrock 3. **Modelo Claude habilitado** en tu región de AWS ## Configuración de AWS ### 1. Habilitar acceso a modelos de Bedrock En la consola de AWS: - Ve a Amazon Bedrock > Model access - Solicita acceso a "Claude 3.5 Sonnet v2" - Espera la aprobación (generalmente instantánea) ### 2. Crear usuario IAM con permisos Crea un usuario IAM con esta política: \`\`\`json { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Action": [ "bedrock:InvokeModel", "bedrock:InvokeModelWithResponseStream" ], "Resource": "arn:aws:bedrock:*::foundation-model/*" } ] } \`\`\` ### 3. Obtener credenciales - Guarda el `AWS_ACCESS_KEY_ID` - Guarda el `AWS_SECRET_ACCESS_KEY` ## Instalación Local \`\`\`bash # Instalar dependencias npm install # Agregar dependencia de Bedrock npm install @ai-sdk/amazon-bedrock # Copiar archivo de ejemplo cp .env.example .env.local # Editar .env.local con tus credenciales \`\`\` ## Variables de Entorno Crea un archivo `.env.local`: \`\`\`env AWS_ACCESS_KEY_ID=AKIA... AWS_SECRET_ACCESS_KEY=wJalr... AWS_REGION=us-east-1 \`\`\` ## Despliegue en tu Servidor ### Opción 1: VPS (AWS EC2, DigitalOcean, etc.) \`\`\`bash # En tu servidor git clone cd npm install npm run build # Configurar variables de entorno export AWS_ACCESS_KEY_ID=... export AWS_SECRET_ACCESS_KEY=... export AWS_REGION=us-east-1 # Iniciar con PM2 (recomendado) npm install -g pm2 pm2 start npm --name "turing-chat" -- start pm2 save pm2 startup \`\`\` ### Opción 2: Docker \`\`\`dockerfile FROM node:20-alpine WORKDIR /app COPY package*.json ./ RUN npm install COPY . . RUN npm run build ENV NODE_ENV=production ENV PORT=3000 EXPOSE 3000 CMD ["npm", "start"] \`\`\` \`\`\`bash docker build -t turing-chat . docker run -p 3000:3000 \ -e AWS_ACCESS_KEY_ID=... \ -e AWS_SECRET_ACCESS_KEY=... \ -e AWS_REGION=us-east-1 \ turing-chat \`\`\` ### Opción 3: Vercel (con tus credenciales) \`\`\`bash # Instalar Vercel CLI npm i -g vercel # Desplegar vercel # Configurar variables de entorno vercel env add AWS_ACCESS_KEY_ID vercel env add AWS_SECRET_ACCESS_KEY vercel env add AWS_REGION \`\`\` ## Verificación Prueba que funciona: \`\`\`bash curl -X POST http://localhost:3000/api/chat \ -H "Content-Type: application/json" \ -d '{"messages":[{"role":"user","content":"Hola"}]}' \`\`\` ## Costos de AWS Bedrock Claude 3.5 Sonnet v2: - Input: $3.00 por millón de tokens - Output: $15.00 por millón de tokens Calcula aproximadamente: - 1 conversación promedio ≈ $0.01 - $0.05 - 1000 conversaciones ≈ $10 - $50 ## Seguridad - **Nunca** subas el archivo `.env.local` a Git - Usa roles de IAM en lugar de credenciales cuando sea posible (en EC2) - Configura límites de gasto en AWS - Implementa rate limiting en tu API [V0_FILE]markdown:file="README.md" isMerged="true" # Spanish conversation *Automatically synced with your [v0.app](https://v0.app) deployments* [![Deployed on Vercel](https://img.shields.io/badge/Deployed%20on-Vercel-black?style=for-the-badge&logo=vercel)](https://vercel.com/lefrato-4255s-projects/v0-spanish-conversation) [![Built with v0](https://img.shields.io/badge/Built%20with-v0.app-black?style=for-the-badge)](https://v0.app/chat/gJIcA2etgqp) ## Overview This repository will stay in sync with your deployed chats on [v0.app](https://v0.app). Any changes you make to your deployed app will be automatically pushed to this repository from [v0.app](https://v0.app). ## Deployment Your project is live at: **[https://vercel.com/lefrato-4255s-projects/v0-spanish-conversation](https://vercel.com/lefrato-4255s-projects/v0-spanish-conversation)** ## Build your app Continue building your app on: **[https://v0.app/chat/gJIcA2etgqp](https://v0.app/chat/gJIcA2etgqp)** ## How It Works 1. Create and modify your project using [v0.app](https://v0.app) 2. Deploy your chats from the v0 interface 3. Changes are automatically pushed to this repository 4. Vercel deploys the latest version from this repository [V0_FILE]css:file="app/globals.css" isMerged="true" @import 'tailwindcss'; @import 'tw-animate-css'; @custom-variant dark (&:is(.dark *)); :root { --background: oklch(1 0 0); --foreground: oklch(0.145 0 0); --card: oklch(0.985 0 0); --card-foreground: oklch(0.145 0 0); --popover: oklch(1 0 0); --popover-foreground: oklch(0.145 0 0); --primary: oklch(0.5 0.15 270); --primary-foreground: oklch(1 0 0); --secondary: oklch(0.95 0.01 270); --secondary-foreground: oklch(0.2 0 0); --muted: oklch(0.96 0.005 270); --muted-foreground: oklch(0.5 0.01 270); --accent: oklch(0.92 0.02 270); --accent-foreground: oklch(0.2 0 0); --destructive: oklch(0.577 0.245 27.325); --destructive-foreground: oklch(1 0 0); --border: oklch(0.9 0.01 270); --input: oklch(0.92 0.01 270); --ring: oklch(0.5 0.15 270); --radius: 0.75rem; } .dark { --background: oklch(0.12 0 0); --foreground: oklch(0.95 0 0); --card: oklch(0.16 0 0); --card-foreground: oklch(0.95 0 0); --popover: oklch(0.16 0 0); --popover-foreground: oklch(0.95 0 0); --primary: oklch(0.65 0.2 280); --primary-foreground: oklch(1 0 0); --secondary: oklch(0.22 0.01 270); --secondary-foreground: oklch(0.9 0 0); --muted: oklch(0.2 0.005 270); --muted-foreground: oklch(0.6 0.01 270); --accent: oklch(0.25 0.02 270); --accent-foreground: oklch(0.95 0 0); --destructive: oklch(0.5 0.2 25); --destructive-foreground: oklch(1 0 0); --border: oklch(0.25 0.01 270); --input: oklch(0.22 0.01 270); --ring: oklch(0.65 0.2 280); } @theme inline { --font-sans: 'Geist', 'Geist Fallback'; --font-mono: 'Geist Mono', 'Geist Mono Fallback'; --color-background: var(--background); --color-foreground: var(--foreground); --color-card: var(--card); --color-card-foreground: var(--card-foreground); --color-popover: var(--popover); --color-popover-foreground: var(--popover-foreground); --color-primary: var(--primary); --color-primary-foreground: var(--primary-foreground); --color-secondary: var(--secondary); --color-secondary-foreground: var(--secondary-foreground); --color-muted: var(--muted); --color-muted-foreground: var(--muted-foreground); --color-accent: var(--accent); --color-accent-foreground: var(--accent-foreground); --color-destructive: var(--destructive); --color-destructive-foreground: var(--destructive-foreground); --color-border: var(--border); --color-input: var(--input); --color-ring: var(--ring); --radius-sm: calc(var(--radius) - 4px); --radius-md: calc(var(--radius) - 2px); --radius-lg: var(--radius); --radius-xl: calc(var(--radius) + 4px); } @layer base { * { @apply border-border outline-ring/50; } body { @apply bg-background text-foreground; } } [V0_FILE]typescriptreact:file="app/layout.tsx" isMerged="true" import type { Metadata } from 'next' import { Geist, Geist_Mono } from 'next/font/google' import { Analytics } from '@vercel/analytics/next' import './globals.css' const _geist = Geist({ subsets: ["latin"] }); const _geistMono = Geist_Mono({ subsets: ["latin"] }); export const metadata: Metadata = { title: 'Chat IA - Amazon Bedrock', description: 'Asistente conversacional con Amazon Bedrock', generator: 'v0.app', icons: { icon: [ { url: '/icon-light-32x32.png', media: '(prefers-color-scheme: light)', }, { url: '/icon-dark-32x32.png', media: '(prefers-color-scheme: dark)', }, { url: '/icon.svg', type: 'image/svg+xml', }, ], apple: '/apple-icon.png', }, } export default function RootLayout({ children, }: Readonly<{ children: React.ReactNode }>) { return ( {children} ) } [V0_FILE]typescriptreact:file="app/page.tsx" isMerged="true" 'use client'; import { useChat } from '@ai-sdk/react'; import { DefaultChatTransport } from 'ai'; import { Button } from '@/components/ui/button'; import { Textarea } from '@/components/ui/textarea'; import { Card } from '@/components/ui/card'; import { ScrollArea } from '@/components/ui/scroll-area'; import { Send, Sparkles, User } from 'lucide-react'; import { useEffect, useRef, useState } from 'react'; export default function ChatPage() { const [inputValue, setInputValue] = useState(''); const scrollRef = useRef(null); const { messages, sendMessage, status } = useChat({ transport: new DefaultChatTransport({ api: '/api/chat' }), }); useEffect(() => { if (scrollRef.current) { scrollRef.current.scrollTop = scrollRef.current.scrollHeight; } }, [messages]); const handleSubmit = (e: React.FormEvent) => { e.preventDefault(); if (inputValue.trim() && status !== 'in_progress') { sendMessage({ text: inputValue }); setInputValue(''); } }; const handleKeyDown = (e: React.KeyboardEvent) => { if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); handleSubmit(e); } }; return (

{/* Header */}

Turing

Conversación en español

{/* Chat Messages */}

{messages.length === 0 && (

¿En qué puedo ayudarte hoy?

Hazme cualquier pregunta y estaré encantado de ayudarte

)} {messages.map((message) => (

{message.role === 'assistant' && (

)}

{message.parts.map((part, index) => { if (part.type === 'text') { return {part.text}; } return null; })}

{message.role === 'user' && (

)}

))} {status === 'in_progress' && messages[messages.length - 1]?.role === 'user' && (

)}

{/* Input Area */}

setInputValue(e.target.value)}
              onKeyDown={handleKeyDown}
              placeholder="Escribe tu mensaje..."
              className="pr-12 min-h-[52px] max-h-32 resize-none bg-background"
              disabled={status === 'in_progress'}
              rows={1}
            />
            <Button
              type="submit"
              size="icon"
              disabled={!inputValue.trim() || status === 'in_progress'}
              className="absolute bottom-2 right-2 h-9 w-9"
            >
              <Send className="w-4 h-4" />
              <span className="sr-only">Enviar mensaje</span>
            </Button>
          </div>
          <p className="mt-2 text-xs text-center text-muted-foreground">
            Presiona Enter para enviar, Shift + Enter para nueva línea
          </p>
        </form>
      </div>
    </div>
  );
}
[V0_FILE]json:file="components.json" isMerged="true"
{
  "$schema": "https://ui.shadcn.com/schema.json",
  "style": "new-york",
  "rsc": true,
  "tsx": true,
  "tailwind": {
    "config": "",
    "css": "app/globals.css",
    "baseColor": "neutral",
    "cssVariables": true,
    "prefix": ""
  },
  "aliases": {
    "components": "@/components",
    "utils": "@/lib/utils",
    "ui": "@/components/ui",
    "lib": "@/lib",
    "hooks": "@/hooks"
  },
  "iconLibrary": "lucide"
}
[V0_FILE]typescriptreact:file="components/theme-provider.tsx" isMerged="true"
'use client'

import * as React from 'react'
import {
  ThemeProvider as NextThemesProvider,
  type ThemeProviderProps,
} from 'next-themes'

export function ThemeProvider({ children, ...props }: ThemeProviderProps) {
  return <NextThemesProvider {...props}>{children}</NextThemesProvider>
}
[V0_FILE]typescriptreact:file="components/ui/button.tsx" isMerged="true"
import * as React from 'react'
import { Slot } from '@radix-ui/react-slot'
import { cva, type VariantProps } from 'class-variance-authority'

import { cn } from '@/lib/utils'

const buttonVariants = cva(
  "inline-flex items-center justify-center gap-2 whitespace-nowrap rounded-md text-sm font-medium transition-all disabled:pointer-events-none disabled:opacity-50 [&_svg]:pointer-events-none [&_svg:not([class*='size-'])]:size-4 shrink-0 [&_svg]:shrink-0 outline-none focus-visible:border-ring focus-visible:ring-ring/50 focus-visible:ring-[3px] aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive",
  {
    variants: {
      variant: {
        default: 'bg-primary text-primary-foreground hover:bg-primary/90',
        destructive:
          'bg-destructive text-white hover:bg-destructive/90 focus-visible:ring-destructive/20 dark:focus-visible:ring-destructive/40 dark:bg-destructive/60',
        outline:
          'border bg-background shadow-xs hover:bg-accent hover:text-accent-foreground dark:bg-input/30 dark:border-input dark:hover:bg-input/50',
        secondary:
          'bg-secondary text-secondary-foreground hover:bg-secondary/80',
        ghost:
          'hover:bg-accent hover:text-accent-foreground dark:hover:bg-accent/50',
        link: 'text-primary underline-offset-4 hover:underline',
      },
      size: {
        default: 'h-9 px-4 py-2 has-[>svg]:px-3',
        sm: 'h-8 rounded-md gap-1.5 px-3 has-[>svg]:px-2.5',
        lg: 'h-10 rounded-md px-6 has-[>svg]:px-4',
        icon: 'size-9',
        'icon-sm': 'size-8',
        'icon-lg': 'size-10',
      },
    },
    defaultVariants: {
      variant: 'default',
      size: 'default',
    },
  },
)

function Button({
  className,
  variant,
  size,
  asChild = false,
  ...props
}: React.ComponentProps<'button'> &
  VariantProps<typeof buttonVariants> & {
    asChild?: boolean
  }) {
  const Comp = asChild ? Slot : 'button'

return (
    <Comp
      data-slot="button"
      className={cn(buttonVariants({ variant, size, className }))}
      {...props}
    />
  )
}

export { Button, buttonVariants }
[V0_FILE]typescriptreact:file="components/ui/card.tsx" isMerged="true"
import * as React from 'react'

import { cn } from '@/lib/utils'

function Card({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card"
      className={cn(
        'bg-card text-card-foreground flex flex-col gap-6 rounded-xl border py-6 shadow-sm',
        className,
      )}
      {...props}
    />
  )
}

function CardHeader({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card-header"
      className={cn(
        '@container/card-header grid auto-rows-min grid-rows-[auto_auto] items-start gap-2 px-6 has-data-[slot=card-action]:grid-cols-[1fr_auto] [.border-b]:pb-6',
        className,
      )}
      {...props}
    />
  )
}

function CardTitle({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card-title"
      className={cn('leading-none font-semibold', className)}
      {...props}
    />
  )
}

function CardDescription({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card-description"
      className={cn('text-muted-foreground text-sm', className)}
      {...props}
    />
  )
}

function CardAction({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card-action"
      className={cn(
        'col-start-2 row-span-2 row-start-1 self-start justify-self-end',
        className,
      )}
      {...props}
    />
  )
}

function CardContent({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card-content"
      className={cn('px-6', className)}
      {...props}
    />
  )
}

function CardFooter({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card-footer"
      className={cn('flex items-center px-6 [.border-t]:pt-6', className)}
      {...props}
    />
  )
}

export {
  Card,
  CardHeader,
  CardFooter,
  CardTitle,
  CardAction,
  CardDescription,
  CardContent,
}
[V0_FILE]typescriptreact:file="components/ui/scroll-area.tsx" isMerged="true"
'use client'

import * as React from 'react'
import * as ScrollAreaPrimitive from '@radix-ui/react-scroll-area'

import { cn } from '@/lib/utils'

function ScrollArea({
  className,
  children,
  ...props
}: React.ComponentProps<typeof ScrollAreaPrimitive.Root>) {
  return (
    <ScrollAreaPrimitive.Root
      data-slot="scroll-area"
      className={cn('relative', className)}
      {...props}
    >
      <ScrollAreaPrimitive.Viewport
        data-slot="scroll-area-viewport"
        className="focus-visible:ring-ring/50 size-full rounded-[inherit] transition-[color,box-shadow] outline-none focus-visible:ring-[3px] focus-visible:outline-1"
      >
        {children}
      </ScrollAreaPrimitive.Viewport>
      <ScrollBar />
      <ScrollAreaPrimitive.Corner />
    </ScrollAreaPrimitive.Root>
  )
}

function ScrollBar({
  className,
  orientation = 'vertical',
  ...props
}: React.ComponentProps<typeof ScrollAreaPrimitive.ScrollAreaScrollbar>) {
  return (
    <ScrollAreaPrimitive.ScrollAreaScrollbar
      data-slot="scroll-area-scrollbar"
      orientation={orientation}
      className={cn(
        'flex touch-none p-px transition-colors select-none',
        orientation === 'vertical' &&
          'h-full w-2.5 border-l border-l-transparent',
        orientation === 'horizontal' &&
          'h-2.5 flex-col border-t border-t-transparent',
        className,
      )}
      {...props}
    >
      <ScrollAreaPrimitive.ScrollAreaThumb
        data-slot="scroll-area-thumb"
        className="bg-border relative flex-1 rounded-full"
      />
    </ScrollAreaPrimitive.ScrollAreaScrollbar>
  )
}

export { ScrollArea, ScrollBar }
[V0_FILE]typescriptreact:file="components/ui/textarea.tsx" isMerged="true"
import * as React from 'react'

import { cn } from '@/lib/utils'

function Textarea({ className, ...props }: React.ComponentProps<'textarea'>) {
  return (
    <textarea
      data-slot="textarea"
      className={cn(
        'border-input placeholder:text-muted-foreground focus-visible:border-ring focus-visible:ring-ring/50 aria-invalid:ring-destructive/20 dark:aria-invalid:ring-destructive/40 aria-invalid:border-destructive dark:bg-input/30 flex field-sizing-content min-h-16 w-full rounded-md border bg-transparent px-3 py-2 text-base shadow-xs transition-[color,box-shadow] outline-none focus-visible:ring-[3px] disabled:cursor-not-allowed disabled:opacity-50 md:text-sm',
        className,
      )}
      {...props}
    />
  )
}

export { Textarea }
[V0_FILE]typescript:file="lib/utils.ts" isMerged="true"
import { clsx, type ClassValue } from 'clsx'
import { twMerge } from 'tailwind-merge'

export function cn(...inputs: ClassValue[]) {
  return twMerge(clsx(inputs))
}
[V0_FILE]javascript:file="next.config.mjs" isMerged="true"
/** @type {import('next').NextConfig} */
const nextConfig = {
  typescript: {
    ignoreBuildErrors: true,
  },
  images: {
    unoptimized: true,
  },
 
}

export default nextConfig
[V0_FILE]json:file="package.json" isMerged="true"
{
  "name": "my-v0-project",
  "version": "0.1.0",
  "private": true,
  "scripts": {
    "build": "next build",
    "dev": "next dev",
    "lint": "eslint .",
    "start": "next start"
  },
  "dependencies": {
    "@ai-sdk/amazon-bedrock": "latest",
    "@ai-sdk/react": "latest",
    "@hookform/resolvers": "^3.10.0",
    "@radix-ui/react-accordion": "1.2.2",
    "@radix-ui/react-alert-dialog": "1.1.4",
    "@radix-ui/react-aspect-ratio": "1.1.1",
    "@radix-ui/react-avatar": "1.1.2",
    "@radix-ui/react-checkbox": "1.1.3",
    "@radix-ui/react-collapsible": "1.1.2",
    "@radix-ui/react-context-menu": "2.2.4",
    "@radix-ui/react-dialog": "1.1.4",
    "@radix-ui/react-dropdown-menu": "2.1.4",
    "@radix-ui/react-hover-card": "1.1.4",
    "@radix-ui/react-label": "2.1.1",
    "@radix-ui/react-menubar": "1.1.4",
    "@radix-ui/react-navigation-menu": "1.2.3",
    "@radix-ui/react-popover": "1.1.4",
    "@radix-ui/react-progress": "1.1.1",
    "@radix-ui/react-radio-group": "1.2.2",
    "@radix-ui/react-scroll-area": "1.2.2",
    "@radix-ui/react-select": "2.1.4",
    "@radix-ui/react-separator": "1.1.1",
    "@radix-ui/react-slider": "1.2.2",
    "@radix-ui/react-slot": "1.1.1",
    "@radix-ui/react-switch": "1.1.2",
    "@radix-ui/react-tabs": "1.1.2",
    "@radix-ui/react-toast": "1.2.4",
    "@radix-ui/react-toggle": "1.1.1",
    "@radix-ui/react-toggle-group": "1.1.1",
    "@radix-ui/react-tooltip": "1.1.6",
    "@vercel/analytics": "latest",
    "ai": "latest",
    "autoprefixer": "^10.4.20",
    "class-variance-authority": "^0.7.1",
    "clsx": "^2.1.1",
    "cmdk": "1.0.4",
    "date-fns": "4.1.0",
    "embla-carousel-react": "8.5.1",
    "input-otp": "1.4.1",
    "lucide-react": "^0.454.0",
    "next": "16.0.3",
    "next-themes": "^0.4.6",
    "react": "19.2.0",
    "react-day-picker": "9.8.0",
    "react-dom": "19.2.0",
    "react-hook-form": "^7.60.0",
    "react-resizable-panels": "^2.1.7",
    "recharts": "2.15.4",
    "sonner": "^1.7.4",
    "tailwind-merge": "^2.5.5",
    "tailwindcss-animate": "^1.0.7",
    "vaul": "^0.9.9",
    "zod": "3.25.76"
  },
  "devDependencies": {
    "@tailwindcss/postcss": "^4.1.9",
    "@types/node": "^22",
    "@types/react": "^19",
    "@types/react-dom": "^19",
    "postcss": "^8.5",
    "tailwindcss": "^4.1.9",
    "tw-animate-css": "1.3.3",
    "typescript": "^5"
  }
}
[V0_FILE]javascript:file="postcss.config.mjs" isMerged="true"
/** @type {import('postcss-load-config').Config} */
const config = {
  plugins: {
    '@tailwindcss/postcss': {},
  },
}

export default config
[V0_FILE]css:file="styles/globals.css" isMerged="true"
@import 'tailwindcss';
@import 'tw-animate-css';

@custom-variant dark (&:is(.dark *));

:root {
  --background: oklch(1 0 0);
  --foreground: oklch(0.145 0 0);
  --card: oklch(1 0 0);
  --card-foreground: oklch(0.145 0 0);
  --popover: oklch(1 0 0);
  --popover-foreground: oklch(0.145 0 0);
  --primary: oklch(0.205 0 0);
  --primary-foreground: oklch(0.985 0 0);
  --secondary: oklch(0.97 0 0);
  --secondary-foreground: oklch(0.205 0 0);
  --muted: oklch(0.97 0 0);
  --muted-foreground: oklch(0.556 0 0);
  --accent: oklch(0.97 0 0);
  --accent-foreground: oklch(0.205 0 0);
  --destructive: oklch(0.577 0.245 27.325);
  --destructive-foreground: oklch(0.577 0.245 27.325);
  --border: oklch(0.922 0 0);
  --input: oklch(0.922 0 0);
  --ring: oklch(0.708 0 0);
  --chart-1: oklch(0.646 0.222 41.116);
  --chart-2: oklch(0.6 0.118 184.704);
  --chart-3: oklch(0.398 0.07 227.392);
  --chart-4: oklch(0.828 0.189 84.429);
  --chart-5: oklch(0.769 0.188 70.08);
  --radius: 0.625rem;
  --sidebar: oklch(0.985 0 0);
  --sidebar-foreground: oklch(0.145 0 0);
  --sidebar-primary: oklch(0.205 0 0);
  --sidebar-primary-foreground: oklch(0.985 0 0);
  --sidebar-accent: oklch(0.97 0 0);
  --sidebar-accent-foreground: oklch(0.205 0 0);
  --sidebar-border: oklch(0.922 0 0);
  --sidebar-ring: oklch(0.708 0 0);
}

.dark {
  --background: oklch(0.145 0 0);
  --foreground: oklch(0.985 0 0);
  --card: oklch(0.145 0 0);
  --card-foreground: oklch(0.985 0 0);
  --popover: oklch(0.145 0 0);
  --popover-foreground: oklch(0.985 0 0);
  --primary: oklch(0.985 0 0);
  --primary-foreground: oklch(0.205 0 0);
  --secondary: oklch(0.269 0 0);
  --secondary-foreground: oklch(0.985 0 0);
  --muted: oklch(0.269 0 0);
  --muted-foreground: oklch(0.708 0 0);
  --accent: oklch(0.269 0 0);
  --accent-foreground: oklch(0.985 0 0);
  --destructive: oklch(0.396 0.141 25.723);
  --destructive-foreground: oklch(0.637 0.237 25.331);
  --border: oklch(0.269 0 0);
  --input: oklch(0.269 0 0);
  --ring: oklch(0.439 0 0);
  --chart-1: oklch(0.488 0.243 264.376);
  --chart-2: oklch(0.696 0.17 162.48);
  --chart-3: oklch(0.769 0.188 70.08);
  --chart-4: oklch(0.627 0.265 303.9);
  --chart-5: oklch(0.645 0.246 16.439);
  --sidebar: oklch(0.205 0 0);
  --sidebar-foreground: oklch(0.985 0 0);
  --sidebar-primary: oklch(0.488 0.243 264.376);
  --sidebar-primary-foreground: oklch(0.985 0 0);
  --sidebar-accent: oklch(0.269 0 0);
  --sidebar-accent-foreground: oklch(0.985 0 0);
  --sidebar-border: oklch(0.269 0 0);
  --sidebar-ring: oklch(0.439 0 0);
}

@theme inline {
  --font-sans: 'Geist', 'Geist Fallback';
  --font-mono: 'Geist Mono', 'Geist Mono Fallback';
  --color-background: var(--background);
  --color-foreground: var(--foreground);
  --color-card: var(--card);
  --color-card-foreground: var(--card-foreground);
  --color-popover: var(--popover);
  --color-popover-foreground: var(--popover-foreground);
  --color-primary: var(--primary);
  --color-primary-foreground: var(--primary-foreground);
  --color-secondary: var(--secondary);
  --color-secondary-foreground: var(--secondary-foreground);
  --color-muted: var(--muted);
  --color-muted-foreground: var(--muted-foreground);
  --color-accent: var(--accent);
  --color-accent-foreground: var(--accent-foreground);
  --color-destructive: var(--destructive);
  --color-destructive-foreground: var(--destructive-foreground);
  --color-border: var(--border);
  --color-input: var(--input);
  --color-ring: var(--ring);
  --color-chart-1: var(--chart-1);
  --color-chart-2: var(--chart-2);
  --color-chart-3: var(--chart-3);
  --color-chart-4: var(--chart-4);
  --color-chart-5: var(--chart-5);
  --radius-sm: calc(var(--radius) - 4px);
  --radius-md: calc(var(--radius) - 2px);
  --radius-lg: var(--radius);
  --radius-xl: calc(var(--radius) + 4px);
  --color-sidebar: var(--sidebar);
  --color-sidebar-foreground: var(--sidebar-foreground);
  --color-sidebar-primary: var(--sidebar-primary);
  --color-sidebar-primary-foreground: var(--sidebar-primary-foreground);
  --color-sidebar-accent: var(--sidebar-accent);
  --color-sidebar-accent-foreground: var(--sidebar-accent-foreground);
  --color-sidebar-border: var(--sidebar-border);
  --color-sidebar-ring: var(--sidebar-ring);
}

@layer base {
  * {
    @apply border-border outline-ring/50;
  }
  body {
    @apply bg-background text-foreground;
  }
}
[V0_FILE]json:file="tsconfig.json" isMerged="true"
{
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    "lib": ["dom", "dom.iterable", "esnext"],
    "allowJs": true,
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    "strict": true,
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    "esModuleInterop": true,
    "module": "esnext",
    "moduleResolution": "bundler",
    "resolveJsonModule": true,
    "isolatedModules": true,
    "jsx": "preserve",
    "incremental": true,
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  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
  "exclude": ["node_modules"]
}
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[V0_FILE]markdown:file="DEBUG-GUIDE.md" isMerged="true"
# Guía de Debug para Turing Chat

## 1. Verificar logs del servidor

En tu servidor Ubuntu, revisa los logs de PM2:

\`\`\`bash
# Ver logs en tiempo real
pm2 logs turing-chat

# Ver solo errores
pm2 logs turing-chat --err

# Ver últimas 100 líneas
pm2 logs turing-chat --lines 100
\`\`\`

Busca mensajes que comiencen con `[v0]` para ver el flujo de la aplicación.

## 2. Problemas comunes y soluciones

### A. La API no responde (Sin logs de [v0])

**Problema**: Nginx no está redirigiendo correctamente

\`\`\`bash
# Verificar que Nginx está corriendo
sudo systemctl status nginx

# Ver logs de Nginx
sudo tail -f /var/log/nginx/error.log
sudo tail -f /var/log/nginx/access.log

# Verificar configuración
sudo nginx -t
\`\`\`

### B. Error: "AWS credentials not found"

**Problema**: Variables de entorno no están configuradas

\`\`\`bash
# Verificar archivo .env.local existe
ls -la /var/www/turing-chat/.env.local

# Ver contenido (sin mostrar claves completas)
head -n 3 /var/www/turing-chat/.env.local

# Reiniciar PM2 después de cambiar .env.local
pm2 restart turing-chat
\`\`\`

### C. Error: "AccessDeniedException" o "UnauthorizedException"

**Problema**: Las credenciales de AWS no tienen permisos

**Solución**: En la consola de AWS IAM:
1. Ve a tu usuario IAM
2. Adjunta la política: `AmazonBedrockFullAccess`
3. O crea una política personalizada con:
\`\`\`json
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "bedrock:InvokeModel",
        "bedrock:InvokeModelWithResponseStream"
      ],
      "Resource": "*"
    }
  ]
}
\`\`\`

### D. Error: "Model not enabled in this region"

**Problema**: El modelo Claude no está habilitado en Bedrock

**Solución**: 
1. Ve a la consola de AWS Bedrock: https://console.aws.amazon.com/bedrock/
2. Selecciona tu región (debe coincidir con AWS_REGION en .env.local)
3. Ve a "Model access"
4. Solicita acceso a "Claude 3.5 Sonnet"
5. Espera aprobación (puede tomar unos minutos)

### E. La aplicación carga pero no responde al enviar mensajes

**Problema**: Error en el frontend o la API

\`\`\`bash
# Ver logs del navegador
# Abre las DevTools del navegador (F12)
# Ve a la pestaña Console y Network

# Verificar si la API responde
curl -X POST http://localhost:3000/api/chat \
  -H "Content-Type: application/json" \
  -d '{"messages":[{"role":"user","content":"Hola"}]}'
\`\`\`

## 3. Verificación paso a paso

### Paso 1: Verificar que la app está corriendo
\`\`\`bash
pm2 status
# Debe mostrar "turing-chat" en estado "online"
\`\`\`

### Paso 2: Verificar que Next.js responde
\`\`\`bash
curl http://localhost:3000
# Debe devolver HTML
\`\`\`

### Paso 3: Verificar variables de entorno
\`\`\`bash
pm2 restart turing-chat
pm2 logs turing-chat --lines 50
# Busca los mensajes [v0] que muestran las variables
\`\`\`

### Paso 4: Probar la API directamente
\`\`\`bash
curl -X POST http://localhost:3000/api/chat \
  -H "Content-Type: application/json" \
  -d '{"messages":[{"role":"user","content":"Hola, esto es una prueba"}]}'
\`\`\`

### Paso 5: Verificar Nginx
\`\`\`bash
curl http://tu-dominio.com
# O tu IP pública
curl http://tu-ip-publica
\`\`\`

## 4. Habilitar más debugging

Si necesitas más información, edita el archivo de configuración de PM2:

\`\`\`bash
# Ver configuración actual
pm2 show turing-chat

# Agregar más debugging en next.config.mjs
cd /var/www/turing-chat
nano next.config.mjs
\`\`\`

Agrega:
\`\`\`js
const nextConfig = {
  logging: {
    level: 'verbose',
  },
}
\`\`\`

Luego reinicia:
\`\`\`bash
npm run build
pm2 restart turing-chat
\`\`\`

## 5. Comandos útiles

\`\`\`bash
# Reiniciar todo
pm2 restart turing-chat
sudo systemctl restart nginx

# Ver uso de recursos
pm2 monit

# Limpiar logs viejos
pm2 flush

# Ver información detallada
pm2 describe turing-chat
\`\`\`

## 6. Si nada funciona

\`\`\`bash
# Detener todo
pm2 stop turing-chat
pm2 delete turing-chat

# Reinstalar dependencias
cd /var/www/turing-chat
rm -rf node_modules .next
npm install
npm run build

# Reiniciar
pm2 start npm --name "turing-chat" -- start
pm2 save
[V0_FILE]shellscript:file="start.sh" isMerged="true"
#!/bin/bash

# Script para iniciar la aplicación con variables de entorno
# Uso: ./start.sh

echo "Cargando variables de entorno..."

# Verificar que existe .env.local
if [ ! -f .env.local ]; then
    echo "ERROR: No se encontró el archivo .env.local"
    echo "Copia .env.example a .env.local y configura tus credenciales"
    exit 1
fi

# Cargar variables de entorno
export $(cat .env.local | grep -v '^#' | xargs)

# Verificar que las variables críticas estén configuradas
if [ -z "$AWS_ACCESS_KEY_ID" ]; then
    echo "ERROR: AWS_ACCESS_KEY_ID no está configurado en .env.local"
    exit 1
fi

if [ -z "$AWS_SECRET_ACCESS_KEY" ]; then
    echo "ERROR: AWS_SECRET_ACCESS_KEY no está configurado en .env.local"
    exit 1
fi

if [ -z "$AWS_REGION" ]; then
    echo "ADVERTENCIA: AWS_REGION no configurado, usando us-east-1"
    export AWS_REGION=us-east-1
fi

echo "Variables de entorno cargadas:"
echo "  AWS_REGION: $AWS_REGION"
echo "  AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID:0:8}..."
echo "  AWS_SECRET_ACCESS_KEY: [OCULTO]"

# Iniciar la aplicación
echo "Iniciando aplicación en modo producción..."
npm start
[V0_FILE]markdown:file="NPM-DEPLOYMENT.md" isMerged="true"
# Guía de Despliegue con NPM en Ubuntu 24

## Problema: Variables de Entorno en Producción

Next.js solo carga `.env.local` automáticamente en desarrollo. En producción con npm, debes cargar las variables manualmente.

## Solución Rápida

### 1. Crear el archivo .env.local

\`\`\`bash
# En la raíz del proyecto
nano .env.local
\`\`\`

Pega este contenido (reemplaza con tus credenciales reales):

\`\`\`
AWS_ACCESS_KEY_ID=tu_access_key_real
AWS_SECRET_ACCESS_KEY=tu_secret_key_real
AWS_REGION=us-east-1
BEDROCK_MODEL_ID=anthropic.claude-3-5-sonnet-20241022-v2:0
\`\`\`

### 2. Dar permisos al script de inicio

\`\`\`bash
chmod +x start.sh
\`\`\`

### 3. Build con variables de entorno

\`\`\`bash
# Cargar variables y hacer build
export $(cat .env.local | grep -v '^#' | xargs)
npm run build
\`\`\`

### 4. Iniciar la aplicación

**Opción A: Con script (Recomendado)**
\`\`\`bash
./start.sh
\`\`\`

**Opción B: Comando directo**
\`\`\`bash
export $(cat .env.local | grep -v '^#' | xargs) && npm start
\`\`\`

**Opción C: Con PM2**
\`\`\`bash
# Instalar PM2 si no lo tienes
npm install -g pm2

# Iniciar con variables de entorno
pm2 start npm --name "turing-chat" -- start --update-env
pm2 env 0  # Ver variables del proceso

# O crear archivo ecosystem.config.js:
cat > ecosystem.config.js << 'EOF'
module.exports = {
  apps: [{
    name: 'turing-chat',
    script: 'npm',
    args: 'start',
    env: {
      NODE_ENV: 'production',
      AWS_ACCESS_KEY_ID: process.env.AWS_ACCESS_KEY_ID,
      AWS_SECRET_ACCESS_KEY: process.env.AWS_SECRET_ACCESS_KEY,
      AWS_REGION: process.env.AWS_REGION || 'us-east-1',
    }
  }]
};
EOF

# Cargar variables y arrancar PM2
export $(cat .env.local | grep -v '^#' | xargs)
pm2 start ecosystem.config.js
pm2 save
pm2 startup
\`\`\`

## Verificar que funciona

### 1. Ver logs en tiempo real

\`\`\`bash
# Si usas npm directamente
tail -f logs/app.log

# Si usas PM2
pm2 logs turing-chat
\`\`\`

Deberías ver:
\`\`\`
[v0] AWS_REGION: us-east-1
[v0] AWS_ACCESS_KEY_ID existe: true
[v0] AWS_SECRET_ACCESS_KEY existe: true
\`\`\`

### 2. Probar el endpoint

\`\`\`bash
curl -X POST http://localhost:3000/api/chat \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      {"role": "user", "content": "Hola, ¿cómo estás?"}
    ]
  }'
\`\`\`

## Problemas Comunes

### Error: "AWS region setting is missing"

**Causa:** Variables de entorno no cargadas.

**Solución:**
\`\`\`bash
# Verificar variables actuales
echo $AWS_REGION
echo $AWS_ACCESS_KEY_ID

# Si están vacías, cargarlas:
export $(cat .env.local | grep -v '^#' | xargs)

# Reconstruir
npm run build

# Reiniciar
./start.sh
# o
pm2 restart turing-chat --update-env
\`\`\`

### Error: "Access Denied" o "InvalidAccessKeyId"

**Causa:** Credenciales de AWS incorrectas.

**Solución:**
1. Verifica tus credenciales en AWS IAM: https://console.aws.amazon.com/iam/
2. Asegúrate de que el usuario IAM tiene permisos para Bedrock
3. Revisa que copiaste las claves completas sin espacios extras

### Error: "Model not found" o "ValidationException"

**Causa:** El modelo no está habilitado en tu región de Bedrock.

**Solución:**
1. Ve a: https://console.aws.amazon.com/bedrock/
2. Click en "Model access" en el menú izquierdo
3. Habilita "Claude 3.5 Sonnet"
4. Verifica que tu región (`AWS_REGION`) tiene Bedrock disponible

### La app no responde después de desplegar

**Causa:** Build hecho sin variables de entorno.

**Solución:**
\`\`\`bash
# Limpiar build anterior
rm -rf .next

# Cargar variables
export $(cat .env.local | grep -v '^#' | xargs)

# Rebuild
npm run build

# Reiniciar
./start.sh
\`\`\`

## Configuración con Nginx (opcional)

Si usas Nginx como proxy reverso:

\`\`\`nginx
# /etc/nginx/sites-available/turing-chat
server {
    listen 80;
    server_name tu-dominio.com;

location / {
        proxy_pass http://localhost:3000;
        proxy_http_version 1.1;
        proxy_set_header Upgrade $http_upgrade;
        proxy_set_header Connection 'upgrade';
        proxy_set_header Host $host;
        proxy_cache_bypass $http_upgrade;
        
        # Importante para streaming
        proxy_buffering off;
        proxy_read_timeout 300s;
    }
}
\`\`\`

\`\`\`bash
# Activar sitio
sudo ln -s /etc/nginx/sites-available/turing-chat /etc/nginx/sites-enabled/
sudo nginx -t
sudo systemctl reload nginx
\`\`\`

## Comandos Útiles

\`\`\`bash
# Ver todas las variables de entorno cargadas
env | grep AWS

# Reiniciar aplicación (PM2)
pm2 restart turing-chat --update-env

# Ver estado
pm2 status

# Ver logs
pm2 logs turing-chat --lines 50

# Monitorear en tiempo real
pm2 monit
[V0_FILE]typescript:file="app/api/chat/route.ts" isEdit="true"
import {
  consumeStream,
  convertToModelMessages,
  streamText,
  UIMessage,
} from 'ai';
import { bedrock } from '@ai-sdk/amazon-bedrock';

export const maxDuration = 30;

export async function POST(req: Request) {
  console.log('[v0] === Iniciando request de chat ===');
  
  try {
    const { messages }: { messages: UIMessage[] } = await req.json();
    console.log('[v0] Mensajes recibidos:', messages.length);
    console.log('[v0] Último mensaje:', messages[messages.length - 1]?.content);

console.log('[v0] AWS_REGION:', process.env.AWS_REGION || 'us-east-1');
    console.log('[v0] AWS_ACCESS_KEY_ID existe:', !!process.env.AWS_ACCESS_KEY_ID);
    console.log('[v0] AWS_SECRET_ACCESS_KEY existe:', !!process.env.AWS_SECRET_ACCESS_KEY);

const prompt = convertToModelMessages(messages);
    console.log('[v0] Prompt convertido, iniciando streamText...');

const modelId = process.env.BEDROCK_MODEL_ID || 'anthropic.claude-3-sonnet-20240229-v1:0';
    console.log('[v0] Usando modelo:', modelId);

const result = streamText({
      model: bedrock(modelId, {
        region: process.env.AWS_REGION || 'us-east-1',
      }),
      prompt,
      abortSignal: req.signal,
      system: 'Eres un asistente conversacional útil que responde en español. Eres amigable, claro y preciso en tus respuestas.',
    });

console.log('[v0] Stream iniciado correctamente');

return result.toUIMessageStreamResponse({
      onFinish: async ({ isAborted }) => {
        if (isAborted) {
          console.log('[v0] Chat abortado por el usuario');
        } else {
          console.log('[v0] Chat finalizado exitosamente');
        }
      },
      consumeSseStream: consumeStream,
    });
  } catch (error) {
    console.error('[v0] ERROR en /api/chat:', error);
    console.error('[v0] Error stack:', error instanceof Error ? error.stack : 'No stack available');
    console.error('[v0] Error message:', error instanceof Error ? error.message : String(error));
    
    return new Response(
      JSON.stringify({ 
        error: 'Error al procesar el chat',
        details: error instanceof Error ? error.message : String(error)
      }), 
      { 
        status: 500,
        headers: { 'Content-Type': 'application/json' }
      }
    );
  }
}
[V0_FILE]plaintext:file=".env.example" isEdit="true"
# Amazon Bedrock Configuration
# Obtén estas credenciales desde la consola de AWS IAM
# https://console.aws.amazon.com/iam/

AWS_ACCESS_KEY_ID=tu_access_key_aqui
AWS_SECRET_ACCESS_KEY=tu_secret_key_aqui
AWS_REGION=us-east-1

# Modelo de Bedrock a utilizar
# IMPORTANTE: Usa modelos que soporten on-demand throughput
# 
# Modelos recomendados (funcionan con on-demand):
# - anthropic.claude-3-sonnet-20240229-v1:0 (Claude 3 Sonnet - RECOMENDADO)
# - anthropic.claude-3-haiku-20240307-v1:0 (Claude 3 Haiku - Más rápido y económico)
# - anthropic.claude-v2:1 (Claude 2.1 - Versión anterior)
#
# NOTA: Claude 3.5 Sonnet requiere inference profiles en algunas regiones
# Si quieres usar modelos más nuevos, verifica disponibilidad en tu región:
# https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html
BEDROCK_MODEL_ID=anthropic.claude-3-sonnet-20240229-v1:0
[V0_FILE]markdown:file="BEDROCK-MODELS.md"
# Guía de Modelos de Amazon Bedrock

## Problema Común: "on-demand throughput isn't supported"

Este error ocurre cuando intentas usar un modelo que no está disponible con throughput on-demand en tu región o que requiere un inference profile.

## Modelos Recomendados (Funcionan con on-demand)

### Claude 3 Sonnet (RECOMENDADO)
\`\`\`
BEDROCK_MODEL_ID=anthropic.claude-3-sonnet-20240229-v1:0
\`\`\`
- Balance perfecto entre capacidad y velocidad
- Funciona en todas las regiones principales
- Ideal para conversaciones generales

### Claude 3 Haiku (Más rápido)
\`\`\`
BEDROCK_MODEL_ID=anthropic.claude-3-haiku-20240307-v1:0
\`\`\`
- Más rápido y económico
- Excelente para respuestas simples
- Menor latencia

### Claude 2.1 (Versión anterior)
\`\`\`
BEDROCK_MODEL_ID=anthropic.claude-v2:1
\`\`\`
- Versión anterior pero muy estable
- Ampliamente disponible
- Funciona en todas las regiones

## Verificar Modelos Disponibles en tu Región

Para ver qué modelos están disponibles en tu región de AWS:

1. Ve a la consola de AWS Bedrock: https://console.aws.amazon.com/bedrock/
2. Selecciona tu región (arriba a la derecha)
3. Ve a "Base models" en el menú lateral
4. Revisa la columna "Model access" - debe decir "Available"

## Habilitar Acceso a Modelos

Si un modelo no está disponible:

1. En la consola de Bedrock, ve a "Model access"
2. Click en "Manage model access"
3. Selecciona los modelos que quieres habilitar
4. Click "Save changes"
5. Espera unos minutos para que se active

## Usar Claude 3.5 Sonnet (Requiere Inference Profiles)

Si quieres usar Claude 3.5 Sonnet, necesitas usar un inference profile ARN:

\`\`\`env
# Opción 1: Usar el ARN del inference profile de tu región
BEDROCK_MODEL_ID=arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0

# Opción 2: Usar un inference profile cross-region (recomendado)
BEDROCK_MODEL_ID=us.anthropic.claude-3-5-sonnet-20241022-v2:0
\`\`\`

Consulta la documentación oficial para más detalles:
https://docs.aws.amazon.com/bedrock/latest/userguide/inference-profiles.html

## Solución de Problemas

### Error: "Model not found"
- Verifica que el modelo esté habilitado en tu región
- Revisa que el MODEL_ID esté escrito correctamente

### Error: "Access denied"
- Asegúrate de que tu usuario IAM tenga permisos para usar Bedrock
- Verifica que el modelo esté habilitado en "Model access"

### Error: "Throttling exception"
- Demasiadas solicitudes simultáneas
- Considera usar un modelo más rápido (Haiku) o implementar rate limiting

## Regiones Recomendadas

## Requisitos

1. **Cuenta de AWS** con acceso a Amazon Bedrock
2. **Credenciales IAM** con permisos para Bedrock
3. **Modelo Claude habilitado** en tu región de AWS

## Configuración de AWS

### 1. Habilitar acceso a modelos de Bedrock

En la consola de AWS:
- Ve a Amazon Bedrock > Model access
- Solicita acceso a "Claude 3.5 Sonnet v2"
- Espera la aprobación (generalmente instantánea)

### 2. Crear usuario IAM con permisos

Crea un usuario IAM con esta política:

\`\`\`json
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "bedrock:InvokeModel",
        "bedrock:InvokeModelWithResponseStream"
      ],
      "Resource": "arn:aws:bedrock:*::foundation-model/*"
    }
  ]
}
\`\`\`

### 3. Obtener credenciales

- Guarda el `AWS_ACCESS_KEY_ID`
- Guarda el `AWS_SECRET_ACCESS_KEY`

## Instalación Local

\`\`\`bash
# Instalar dependencias
npm install

# Agregar dependencia de Bedrock
npm install @ai-sdk/amazon-bedrock

# Copiar archivo de ejemplo
cp .env.example .env.local

# Editar .env.local con tus credenciales
\`\`\`

## Variables de Entorno

Crea un archivo `.env.local`:

\`\`\`env
AWS_ACCESS_KEY_ID=AKIA...
AWS_SECRET_ACCESS_KEY=wJalr...
AWS_REGION=us-east-1
\`\`\`

## Despliegue en tu Servidor

### Opción 1: VPS (AWS EC2, DigitalOcean, etc.)

\`\`\`bash
# En tu servidor
git clone <tu-repo>
cd <tu-proyecto>
npm install
npm run build

# Configurar variables de entorno
export AWS_ACCESS_KEY_ID=...
export AWS_SECRET_ACCESS_KEY=...
export AWS_REGION=us-east-1

# Iniciar con PM2 (recomendado)
npm install -g pm2
pm2 start npm --name "turing-chat" -- start
pm2 save
pm2 startup
\`\`\`

### Opción 2: Docker

\`\`\`dockerfile
FROM node:20-alpine

WORKDIR /app
COPY package*.json ./
RUN npm install
COPY . .
RUN npm run build

ENV NODE_ENV=production
ENV PORT=3000

EXPOSE 3000
CMD ["npm", "start"]
\`\`\`

\`\`\`bash
docker build -t turing-chat .
docker run -p 3000:3000 \
  -e AWS_ACCESS_KEY_ID=... \
  -e AWS_SECRET_ACCESS_KEY=... \
  -e AWS_REGION=us-east-1 \
  turing-chat
\`\`\`

### Opción 3: Vercel (con tus credenciales)

\`\`\`bash
# Instalar Vercel CLI
npm i -g vercel

# Desplegar
vercel

# Configurar variables de entorno
vercel env add AWS_ACCESS_KEY_ID
vercel env add AWS_SECRET_ACCESS_KEY
vercel env add AWS_REGION
\`\`\`

## Verificación

Prueba que funciona:

\`\`\`bash
curl -X POST http://localhost:3000/api/chat \
  -H "Content-Type: application/json" \
  -d '{"messages":[{"role":"user","content":"Hola"}]}'
\`\`\`

## Costos de AWS Bedrock

Claude 3.5 Sonnet v2:
- Input: $3.00 por millón de tokens
- Output: $15.00 por millón de tokens

Calcula aproximadamente:
- 1 conversación promedio ≈ $0.01 - $0.05
- 1000 conversaciones ≈ $10 - $50

## Seguridad

- **Nunca** subas el archivo `.env.local` a Git
- Usa roles de IAM en lugar de credenciales cuando sea posible (en EC2)
- Configura límites de gasto en AWS
- Implementa rate limiting en tu API
[V0_FILE]markdown:file="README.md" isMerged="true"
# Spanish conversation

*Automatically synced with your [v0.app](https://v0.app) deployments*

[![Deployed on Vercel](https://img.shields.io/badge/Deployed%20on-Vercel-black?style=for-the-badge&logo=vercel)](https://vercel.com/lefrato-4255s-projects/v0-spanish-conversation)
[![Built with v0](https://img.shields.io/badge/Built%20with-v0.app-black?style=for-the-badge)](https://v0.app/chat/gJIcA2etgqp)

## Overview

This repository will stay in sync with your deployed chats on [v0.app](https://v0.app).
Any changes you make to your deployed app will be automatically pushed to this repository from [v0.app](https://v0.app).

## Deployment

Your project is live at:

**[https://vercel.com/lefrato-4255s-projects/v0-spanish-conversation](https://vercel.com/lefrato-4255s-projects/v0-spanish-conversation)**

## Build your app

Continue building your app on:

**[https://v0.app/chat/gJIcA2etgqp](https://v0.app/chat/gJIcA2etgqp)**

## How It Works

1. Create and modify your project using [v0.app](https://v0.app)
2. Deploy your chats from the v0 interface
3. Changes are automatically pushed to this repository
4. Vercel deploys the latest version from this repository
[V0_FILE]css:file="app/globals.css" isMerged="true"
@import 'tailwindcss';
@import 'tw-animate-css';

@custom-variant dark (&:is(.dark *));

:root {
  --background: oklch(1 0 0);
  --foreground: oklch(0.145 0 0);
  --card: oklch(0.985 0 0);
  --card-foreground: oklch(0.145 0 0);
  --popover: oklch(1 0 0);
  --popover-foreground: oklch(0.145 0 0);
  --primary: oklch(0.5 0.15 270);
  --primary-foreground: oklch(1 0 0);
  --secondary: oklch(0.95 0.01 270);
  --secondary-foreground: oklch(0.2 0 0);
  --muted: oklch(0.96 0.005 270);
  --muted-foreground: oklch(0.5 0.01 270);
  --accent: oklch(0.92 0.02 270);
  --accent-foreground: oklch(0.2 0 0);
  --destructive: oklch(0.577 0.245 27.325);
  --destructive-foreground: oklch(1 0 0);
  --border: oklch(0.9 0.01 270);
  --input: oklch(0.92 0.01 270);
  --ring: oklch(0.5 0.15 270);
  --radius: 0.75rem;
}

.dark {
  --background: oklch(0.12 0 0);
  --foreground: oklch(0.95 0 0);
  --card: oklch(0.16 0 0);
  --card-foreground: oklch(0.95 0 0);
  --popover: oklch(0.16 0 0);
  --popover-foreground: oklch(0.95 0 0);
  --primary: oklch(0.65 0.2 280);
  --primary-foreground: oklch(1 0 0);
  --secondary: oklch(0.22 0.01 270);
  --secondary-foreground: oklch(0.9 0 0);
  --muted: oklch(0.2 0.005 270);
  --muted-foreground: oklch(0.6 0.01 270);
  --accent: oklch(0.25 0.02 270);
  --accent-foreground: oklch(0.95 0 0);
  --destructive: oklch(0.5 0.2 25);
  --destructive-foreground: oklch(1 0 0);
  --border: oklch(0.25 0.01 270);
  --input: oklch(0.22 0.01 270);
  --ring: oklch(0.65 0.2 280);
}

@layer base {
  * {
    @apply border-border outline-ring/50;
  }
  body {
    @apply bg-background text-foreground;
  }
}
[V0_FILE]typescriptreact:file="app/layout.tsx" isMerged="true"
import type { Metadata } from 'next'
import { Geist, Geist_Mono } from 'next/font/google'
import { Analytics } from '@vercel/analytics/next'
import './globals.css'

const _geist = Geist({ subsets: ["latin"] });
const _geistMono = Geist_Mono({ subsets: ["latin"] });

export const metadata: Metadata = {
  title: 'Chat IA - Amazon Bedrock',
  description: 'Asistente conversacional con Amazon Bedrock',
  generator: 'v0.app',
  icons: {
    icon: [
      {
        url: '/icon-light-32x32.png',
        media: '(prefers-color-scheme: light)',
      },
      {
        url: '/icon-dark-32x32.png',
        media: '(prefers-color-scheme: dark)',
      },
      {
        url: '/icon.svg',
        type: 'image/svg+xml',
      },
    ],
    apple: '/apple-icon.png',
  },
}

export default function RootLayout({
  children,
}: Readonly<{
  children: React.ReactNode
}>) {
  return (
    <html lang="en">
      <body className={`font-sans antialiased`}>
        {children}
        <Analytics />
      </body>
    </html>
  )
}
[V0_FILE]typescriptreact:file="app/page.tsx" isMerged="true"
'use client';

import { useChat } from '@ai-sdk/react';
import { DefaultChatTransport } from 'ai';
import { Button } from '@/components/ui/button';
import { Textarea } from '@/components/ui/textarea';
import { Card } from '@/components/ui/card';
import { ScrollArea } from '@/components/ui/scroll-area';
import { Send, Sparkles, User } from 'lucide-react';
import { useEffect, useRef, useState } from 'react';

export default function ChatPage() {
  const [inputValue, setInputValue] = useState('');
  const scrollRef = useRef<HTMLDivElement>(null);
  
  const { messages, sendMessage, status } = useChat({
    transport: new DefaultChatTransport({ api: '/api/chat' }),
  });

useEffect(() => {
    if (scrollRef.current) {
      scrollRef.current.scrollTop = scrollRef.current.scrollHeight;
    }
  }, [messages]);

const handleKeyDown = (e: React.KeyboardEvent<HTMLTextAreaElement>) => {
    if (e.key === 'Enter' && !e.shiftKey) {
      e.preventDefault();
      handleSubmit(e);
    }
  };

return (
    <div className="flex flex-col h-screen bg-background">
      {/* Header */}
      <header className="flex items-center justify-between px-6 py-4 border-b border-border bg-card">
        <div className="flex items-center gap-3">
          <div className="flex items-center justify-center w-10 h-10 rounded-lg bg-primary">
            <Sparkles className="w-6 h-6 text-primary-foreground" />
          </div>
          <div>
            <h1 className="text-xl font-semibold text-card-foreground">Turing</h1>
            <p className="text-sm text-muted-foreground">Conversación en español</p>
          </div>
        </div>
      </header>

{/* Chat Messages */}
      <ScrollArea ref={scrollRef} className="flex-1 px-4 py-6">
        <div className="max-w-3xl mx-auto space-y-6">
          {messages.length === 0 && (
            <div className="flex flex-col items-center justify-center h-full gap-4 py-12 text-center">
              <div className="flex items-center justify-center w-16 h-16 rounded-full bg-primary/10">
                <Sparkles className="w-8 h-8 text-primary" />
              </div>
              <div className="space-y-2">
                <h2 className="text-2xl font-semibold text-foreground">
                  ¿En qué puedo ayudarte hoy?
                </h2>
                <p className="text-muted-foreground">
                  Hazme cualquier pregunta y estaré encantado de ayudarte
                </p>
              </div>
            </div>
          )}

{messages.map((message) => (
            <div
              key={message.id}
              className={`flex gap-4 ${
                message.role === 'user' ? 'justify-end' : 'justify-start'
              }`}
            >
              {message.role === 'assistant' && (
                <div className="flex items-start justify-center w-8 h-8 rounded-full shrink-0 bg-primary">
                  <Sparkles className="w-5 h-5 mt-1.5 text-primary-foreground" />
                </div>
              )}
              
              <Card
                className={`px-4 py-3 max-w-[85%] ${
                  message.role === 'user'
                    ? 'bg-primary text-primary-foreground'
                    : 'bg-card text-card-foreground'
                }`}
              >
                <div className="whitespace-pre-wrap break-words text-pretty">
                  {message.parts.map((part, index) => {
                    if (part.type === 'text') {
                      return <span key={index}>{part.text}</span>;
                    }
                    return null;
                  })}
                </div>
              </Card>

{message.role === 'user' && (
                <div className="flex items-start justify-center w-8 h-8 rounded-full shrink-0 bg-secondary">
                  <User className="w-5 h-5 mt-1.5 text-secondary-foreground" />
                </div>
              )}
            </div>
          ))}

{status === 'in_progress' && messages[messages.length - 1]?.role === 'user' && (
            <div className="flex gap-4 justify-start">
              <div className="flex items-start justify-center w-8 h-8 rounded-full shrink-0 bg-primary">
                <Sparkles className="w-5 h-5 mt-1.5 text-primary-foreground" />
              </div>
              <Card className="px-4 py-3 bg-card text-card-foreground">
                <div className="flex gap-1">
                  <span className="w-2 h-2 bg-muted-foreground rounded-full animate-bounce [animation-delay:-0.3s]" />
                  <span className="w-2 h-2 bg-muted-foreground rounded-full animate-bounce [animation-delay:-0.15s]" />
                  <span className="w-2 h-2 bg-muted-foreground rounded-full animate-bounce" />
                </div>
              </Card>
            </div>
          )}
        </div>
      </ScrollArea>

{/* Input Area */}
      <div className="px-4 py-4 border-t border-border bg-card">
        <form onSubmit={handleSubmit} className="max-w-3xl mx-auto">
          <div className="relative flex items-end gap-2">
            <Textarea
              value={inputValue}
              onChange={(e) => setInputValue(e.target.value)}
              onKeyDown={handleKeyDown}
              placeholder="Escribe tu mensaje..."
              className="pr-12 min-h-[52px] max-h-32 resize-none bg-background"
              disabled={status === 'in_progress'}
              rows={1}
            />
            <Button
              type="submit"
              size="icon"
              disabled={!inputValue.trim() || status === 'in_progress'}
              className="absolute bottom-2 right-2 h-9 w-9"
            >
              <Send className="w-4 h-4" />
              <span className="sr-only">Enviar mensaje</span>
            </Button>
          </div>
          <p className="mt-2 text-xs text-center text-muted-foreground">
            Presiona Enter para enviar, Shift + Enter para nueva línea
          </p>
        </form>
      </div>
    </div>
  );
}
[V0_FILE]json:file="components.json" isMerged="true"
{
  "$schema": "https://ui.shadcn.com/schema.json",
  "style": "new-york",
  "rsc": true,
  "tsx": true,
  "tailwind": {
    "config": "",
    "css": "app/globals.css",
    "baseColor": "neutral",
    "cssVariables": true,
    "prefix": ""
  },
  "aliases": {
    "components": "@/components",
    "utils": "@/lib/utils",
    "ui": "@/components/ui",
    "lib": "@/lib",
    "hooks": "@/hooks"
  },
  "iconLibrary": "lucide"
}
[V0_FILE]typescriptreact:file="components/theme-provider.tsx" isMerged="true"
'use client'

import * as React from 'react'
import {
  ThemeProvider as NextThemesProvider,
  type ThemeProviderProps,
} from 'next-themes'

import { cn } from '@/lib/utils'

return (
    <Comp
      data-slot="button"
      className={cn(buttonVariants({ variant, size, className }))}
      {...props}
    />
  )
}

export { Button, buttonVariants }
[V0_FILE]typescriptreact:file="components/ui/card.tsx" isMerged="true"
import * as React from 'react'

import { cn } from '@/lib/utils'

function CardContent({ className, ...props }: React.ComponentProps<'div'>) {
  return (
    <div
      data-slot="card-content"
      className={cn('px-6', className)}
      {...props}
    />
  )
}

export {
  Card,
  CardHeader,
  CardFooter,
  CardTitle,
  CardAction,
  CardDescription,
  CardContent,
}
[V0_FILE]typescriptreact:file="components/ui/scroll-area.tsx" isMerged="true"
'use client'

import * as React from 'react'
import * as ScrollAreaPrimitive from '@radix-ui/react-scroll-area'

import { cn } from '@/lib/utils'

export { ScrollArea, ScrollBar }
[V0_FILE]typescriptreact:file="components/ui/textarea.tsx" isMerged="true"
import * as React from 'react'

import { cn } from '@/lib/utils'

export { Textarea }
[V0_FILE]typescript:file="lib/utils.ts" isMerged="true"
import { clsx, type ClassValue } from 'clsx'
import { twMerge } from 'tailwind-merge'

export default config
[V0_FILE]css:file="styles/globals.css" isMerged="true"
@import 'tailwindcss';
@import 'tw-animate-css';

@custom-variant dark (&:is(.dark *));

## 1. Verificar logs del servidor

En tu servidor Ubuntu, revisa los logs de PM2:

\`\`\`bash
# Ver logs en tiempo real
pm2 logs turing-chat

# Ver solo errores
pm2 logs turing-chat --err

# Ver últimas 100 líneas
pm2 logs turing-chat --lines 100
\`\`\`

Busca mensajes que comiencen con `[v0]` para ver el flujo de la aplicación.

## 2. Problemas comunes y soluciones

### A. La API no responde (Sin logs de [v0])

**Problema**: Nginx no está redirigiendo correctamente

\`\`\`bash
# Verificar que Nginx está corriendo
sudo systemctl status nginx

# Ver logs de Nginx
sudo tail -f /var/log/nginx/error.log
sudo tail -f /var/log/nginx/access.log

# Verificar configuración
sudo nginx -t
\`\`\`

### B. Error: "AWS credentials not found"

**Problema**: Variables de entorno no están configuradas

\`\`\`bash
# Verificar archivo .env.local existe
ls -la /var/www/turing-chat/.env.local

# Ver contenido (sin mostrar claves completas)
head -n 3 /var/www/turing-chat/.env.local

# Reiniciar PM2 después de cambiar .env.local
pm2 restart turing-chat
\`\`\`

### C. Error: "AccessDeniedException" o "UnauthorizedException"

**Problema**: Las credenciales de AWS no tienen permisos

### D. Error: "Model not enabled in this region"

**Problema**: El modelo Claude no está habilitado en Bedrock

### E. La aplicación carga pero no responde al enviar mensajes

**Problema**: Error en el frontend o la API

\`\`\`bash
# Ver logs del navegador
# Abre las DevTools del navegador (F12)
# Ve a la pestaña Console y Network

# Verificar si la API responde
curl -X POST http://localhost:3000/api/chat \
  -H "Content-Type: application/json" \
  -d '{"messages":[{"role":"user","content":"Hola"}]}'
\`\`\`

## 3. Verificación paso a paso

### Paso 1: Verificar que la app está corriendo
\`\`\`bash
pm2 status
# Debe mostrar "turing-chat" en estado "online"
\`\`\`

### Paso 2: Verificar que Next.js responde
\`\`\`bash
curl http://localhost:3000
# Debe devolver HTML
\`\`\`

### Paso 3: Verificar variables de entorno
\`\`\`bash
pm2 restart turing-chat
pm2 logs turing-chat --lines 50
# Busca los mensajes [v0] que muestran las variables
\`\`\`

### Paso 5: Verificar Nginx
\`\`\`bash
curl http://tu-dominio.com
# O tu IP pública
curl http://tu-ip-publica
\`\`\`

## 4. Habilitar más debugging

Si necesitas más información, edita el archivo de configuración de PM2:

\`\`\`bash
# Ver configuración actual
pm2 show turing-chat

# Agregar más debugging en next.config.mjs
cd /var/www/turing-chat
nano next.config.mjs
\`\`\`

Agrega:
\`\`\`js
const nextConfig = {
  logging: {
    level: 'verbose',
  },
}
\`\`\`

Luego reinicia:
\`\`\`bash
npm run build
pm2 restart turing-chat
\`\`\`

## 5. Comandos útiles

\`\`\`bash
# Reiniciar todo
pm2 restart turing-chat
sudo systemctl restart nginx

# Ver uso de recursos
pm2 monit

# Limpiar logs viejos
pm2 flush

# Ver información detallada
pm2 describe turing-chat
\`\`\`

## 6. Si nada funciona

\`\`\`bash
# Detener todo
pm2 stop turing-chat
pm2 delete turing-chat

# Reinstalar dependencias
cd /var/www/turing-chat
rm -rf node_modules .next
npm install
npm run build

# Reiniciar
pm2 start npm --name "turing-chat" -- start
pm2 save
[V0_FILE]shellscript:file="start.sh" isMerged="true"
#!/bin/bash

# Script para iniciar la aplicación con variables de entorno
# Uso: ./start.sh

echo "Cargando variables de entorno..."

# Cargar variables de entorno
export $(cat .env.local | grep -v '^#' | xargs)

# Verificar que las variables críticas estén configuradas
if [ -z "$AWS_ACCESS_KEY_ID" ]; then
    echo "ERROR: AWS_ACCESS_KEY_ID no está configurado en .env.local"
    exit 1
fi

if [ -z "$AWS_SECRET_ACCESS_KEY" ]; then
    echo "ERROR: AWS_SECRET_ACCESS_KEY no está configurado en .env.local"
    exit 1
fi

if [ -z "$AWS_REGION" ]; then
    echo "ADVERTENCIA: AWS_REGION no configurado, usando us-east-1"
    export AWS_REGION=us-east-1
fi

echo "Variables de entorno cargadas:"
echo "  AWS_REGION: $AWS_REGION"
echo "  AWS_ACCESS_KEY_ID: ${AWS_ACCESS_KEY_ID:0:8}..."
echo "  AWS_SECRET_ACCESS_KEY: [OCULTO]"

# Iniciar la aplicación
echo "Iniciando aplicación en modo producción..."
npm start
[V0_FILE]markdown:file="NPM-DEPLOYMENT.md" isMerged="true"
# Guía de Despliegue con NPM en Ubuntu 24

## Problema: Variables de Entorno en Producción

Next.js solo carga `.env.local` automáticamente en desarrollo. En producción con npm, debes cargar las variables manualmente.

## Solución Rápida

### 1. Crear el archivo .env.local

\`\`\`bash
# En la raíz del proyecto
nano .env.local
\`\`\`

Pega este contenido (reemplaza con tus credenciales reales):

\`\`\`
AWS_ACCESS_KEY_ID=tu_access_key_real
AWS_SECRET_ACCESS_KEY=tu_secret_key_real
AWS_REGION=us-east-1
BEDROCK_MODEL_ID=anthropic.claude-3-5-sonnet-20241022-v2:0
\`\`\`

### 2. Dar permisos al script de inicio

\`\`\`bash
chmod +x start.sh
\`\`\`

### 3. Build con variables de entorno

\`\`\`bash
# Cargar variables y hacer build
export $(cat .env.local | grep -v '^#' | xargs)
npm run build
\`\`\`

### 4. Iniciar la aplicación

**Opción A: Con script (Recomendado)**
\`\`\`bash
./start.sh
\`\`\`

**Opción B: Comando directo**
\`\`\`bash
export $(cat .env.local | grep -v '^#' | xargs) && npm start
\`\`\`

**Opción C: Con PM2**
\`\`\`bash
# Instalar PM2 si no lo tienes
npm install -g pm2

# Iniciar con variables de entorno
pm2 start npm --name "turing-chat" -- start --update-env
pm2 env 0  # Ver variables del proceso

# Cargar variables y arrancar PM2
export $(cat .env.local | grep -v '^#' | xargs)
pm2 start ecosystem.config.js
pm2 save
pm2 startup
\`\`\`

## Verificar que funciona

### 1. Ver logs en tiempo real

\`\`\`bash
# Si usas npm directamente
tail -f logs/app.log

# Si usas PM2
pm2 logs turing-chat
\`\`\`

Deberías ver:
\`\`\`
[v0] AWS_REGION: us-east-1
[v0] AWS_ACCESS_KEY_ID existe: true
[v0] AWS_SECRET_ACCESS_KEY existe: true
\`\`\`

### 2. Probar el endpoint

\`\`\`bash
curl -X POST http://localhost:3000/api/chat \
  -H "Content-Type: application/json" \
  -d '{
    "messages": [
      {"role": "user", "content": "Hola, ¿cómo estás?"}
    ]
  }'
\`\`\`

## Problemas Comunes

### Error: "AWS region setting is missing"

**Causa:** Variables de entorno no cargadas.

**Solución:**
\`\`\`bash
# Verificar variables actuales
echo $AWS_REGION
echo $AWS_ACCESS_KEY_ID

# Si están vacías, cargarlas:
export $(cat .env.local | grep -v '^#' | xargs)

# Reconstruir
npm run build

# Reiniciar
./start.sh
# o
pm2 restart turing-chat --update-env
\`\`\`

### Error: "Access Denied" o "InvalidAccessKeyId"

**Causa:** Credenciales de AWS incorrectas.

### Error: "Model not found" o "ValidationException"

**Causa:** El modelo no está habilitado en tu región de Bedrock.

### La app no responde después de desplegar

**Causa:** Build hecho sin variables de entorno.

**Solución:**
\`\`\`bash
# Limpiar build anterior
rm -rf .next

# Cargar variables
export $(cat .env.local | grep -v '^#' | xargs)

# Rebuild
npm run build

# Reiniciar
./start.sh
\`\`\`

## Configuración con Nginx (opcional)

Si usas Nginx como proxy reverso:

\`\`\`nginx
# /etc/nginx/sites-available/turing-chat
server {
    listen 80;
    server_name tu-dominio.com;

\`\`\`bash
# Activar sitio
sudo ln -s /etc/nginx/sites-available/turing-chat /etc/nginx/sites-enabled/
sudo nginx -t
sudo systemctl reload nginx
\`\`\`

## Comandos Útiles

\`\`\`bash
# Ver todas las variables de entorno cargadas
env | grep AWS

# Reiniciar aplicación (PM2)
pm2 restart turing-chat --update-env

# Ver estado
pm2 status

# Ver logs
pm2 logs turing-chat --lines 50

export const maxDuration = 30;

const prompt = convertToModelMessages(messages);
    console.log('[v0] Prompt convertido, iniciando streamText...');

const modelId = process.env.BEDROCK_MODEL_ID || 'anthropic.claude-3-sonnet-20240229-v1:0';
    console.log('[v0] Usando modelo:', modelId);

console.log('[v0] Stream iniciado correctamente');

AWS_ACCESS_KEY_ID=tu_access_key_aqui
AWS_SECRET_ACCESS_KEY=tu_secret_key_aqui
AWS_REGION=us-east-1

## Problema Común: "on-demand throughput isn't supported"

Este error ocurre cuando intentas usar un modelo que no está disponible con throughput on-demand en tu región o que requiere un inference profile.

## Modelos Recomendados (Funcionan con on-demand)

### Claude 3 Haiku (Más rápido)
\`\`\`
BEDROCK_MODEL_ID=anthropic.claude-3-haiku-20240307-v1:0
\`\`\`
- Más rápido y económico
- Excelente para respuestas simples
- Menor latencia

### Claude 2.1 (Versión anterior)
\`\`\`
BEDROCK_MODEL_ID=anthropic.claude-v2:1
\`\`\`
- Versión anterior pero muy estable
- Ampliamente disponible
- Funciona en todas las regiones

## Verificar Modelos Disponibles en tu Región

Para ver qué modelos están disponibles en tu región de AWS:

## Habilitar Acceso a Modelos

Si un modelo no está disponible:

1. En la consola de Bedrock, ve a "Model access"
2. Click en "Manage model access"
3. Selecciona los modelos que quieres habilitar
4. Click "Save changes"
5. Espera unos minutos para que se active

## Usar Claude 3.5 Sonnet (Requiere Inference Profiles)

Si quieres usar Claude 3.5 Sonnet, necesitas usar un inference profile ARN:

\`\`\`env
# Opción 1: Usar el ARN del inference profile de tu región
BEDROCK_MODEL_ID=arn:aws:bedrock:us-east-1::foundation-model/anthropic.claude-3-5-sonnet-20241022-v2:0

# Opción 2: Usar un inference profile cross-region (recomendado)
BEDROCK_MODEL_ID=us.anthropic.claude-3-5-sonnet-20241022-v2:0
\`\`\`

Consulta la documentación oficial para más detalles:
https://docs.aws.amazon.com/bedrock/latest/userguide/inference-profiles.html

## Solución de Problemas

### Error: "Model not found"
- Verifica que el modelo esté habilitado en tu región
- Revisa que el MODEL_ID esté escrito correctamente

### Error: "Access denied"
- Asegúrate de que tu usuario IAM tenga permisos para usar Bedrock
- Verifica que el modelo esté habilitado en "Model access"

### Error: "Throttling exception"
- Demasiadas solicitudes simultáneas
- Considera usar un modelo más rápido (Haiku) o implementar rate limiting

## Regiones Recomendadas

Las siguientes regiones tienen mejor disponibilidad de modelos:
- us-east-1 (Virginia del Norte)
- us-west-2 (Oregón)
- eu-west-1 (Irlanda)
- ap-southeast-1 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start.sh"}],"version":1},"role":"user","id":"4tu44NIwIZRDDlx9kTUOUlkIrUEawUwJ","attachments":[],"parentId":"V5xM7fzAkT5hdvd1BHJmmmCablO2ZpOR","type":"message","authorId":"6DBbJ5Yasbrx40XrCUjL2Vp2","createdAt":"$D2025-11-18T15:11:47.505Z"},{"content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1763478711529,"finishedAt":1763478713132,"lastPartSentAt":1763478713132,"taskNameActive":null,"id":"uff9rdSRydFJ3WDX","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"El usuario quiere que le muestre el contenido del archivo start.sh para que pueda copiarlo directamente y crear el archivo. Necesito leer el archivo y mostrárselo en texto plano para que lo copie."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1763478713751,"finishedAt":1763478714306,"lastPartSentAt":1763478714234,"taskNameActive":"Leyendo start.sh","taskNameComplete":"start.sh leído","toolCallId":"toolu_013n5gkDTxxdNCXfp4L1zyEa","id":"A4pn9Y6zX7QyDRnl","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"start.sh"}]}}],["p",{},["text",{},"Aquí está el código completo del archivo "],["code",{},"start.sh"],["text",{}," para que lo copies:"]],["Codeblock",{"lang":"shellscript","meta":{},"closed":true},"$126"],["p",{},["text",{},"Para usarlo:"]],["ol",{"start":1},["li",{"index":1},["text",{},"Crea el archivo: "],["code",{},"nano start.sh"],["text",{}," (pega el código arriba)"]],["li",{"index":2},["text",{},"Dale permisos de ejecución: "],["code",{},"chmod +x start.sh"]],["li",{"index":3},["text",{},"Ejecuta: "],["code",{},"./start.sh"]]],["p",{},["text",{},"El script verifica que tus variables de entorno estén configuradas correctamente antes de iniciar la aplicación y te muestra qué valores están cargados."]]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"Kb1s7Mm5sFwo4xYAejmwFGFObvfbNndO","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"4tu44NIwIZRDDlx9kTUOUlkIrUEawUwJ","type":"message","creditCost":0.0866445,"workMetrics":{"diffMap":{},"linesRead":42,"agentActions":1},"createdAt":"$D2025-11-18T15:11:47.506Z","updatedAt":"$D2025-11-18T15:12:02.990Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":""}],"version":1},"role":"user","id":"LUN1tfRADq3EWnc0E91oEKrodeFM4OkW","attachments":[{"url":"https://hebbkx1anhila5yf.public.blob.vercel-storage.com/pasted-text-uebz0oLfq12DIz9Q1bVBmA8PHZUgf9.txt","name":"pasted-text.txt","size":1553,"contentType":"text/*"}],"parentId":"Kb1s7Mm5sFwo4xYAejmwFGFObvfbNndO","type":"message","authorId":"6DBbJ5Yasbrx40XrCUjL2Vp2","createdAt":"$D2025-11-18T15:13:44.464Z"},{"content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1763478825878,"finishedAt":1763478825878,"lastPartSentAt":1763478825878,"id":"nZcGnOc7tOhjbR2o","type":"task-start-v1","parts":[{"type":"launch-tasks"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1763478825878,"finishedAt":1763478825969,"lastPartSentAt":1763478825948,"taskNameActive":"Reading pasted-text.txt","taskNameComplete":"Read pasted-text.txt","toolCallId":"tool_ZO4uwUQX0EOgKYZ8","id":"sPVPE44an9aRmbXJ","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"user_read_only_context/text_attachments/pasted-text-uebz0.txt"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1763478828718,"finishedAt":1763478833432,"lastPartSentAt":1763478833432,"taskNameActive":null,"id":"fhAPJ3OWzoZ5OBdD","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":5,"thought":"El usuario está mostrando un error de AWS Bedrock que dice que el modelo \"anthropic.claude-3-5-sonnet-20241022-v2:0\" no está soportado con throughput on-demand. El error sugiere usar un \"inference profile\" en su lugar.\n\nEste es un problema común con Bedrock - algunos modelos requieren usar perfiles de inferencia en lugar de IDs de modelo directos. Necesito actualizar el código para usar un inference profile ARN o un modelo diferente que funcione.\n\nOpciones:\n1. Usar un inference profile ID en lugar del model ID directo\n2. Usar un modelo diferente que funcione con on-demand\n3. Proporcionar múltiples opciones de modelos\n\nVoy a actualizar el código para:\n1. Cambiar el modelo por defecto a uno que funcione mejor con Bedrock\n2. Agregar comentarios sobre qué modelos están disponibles\n3. Actualizar la documentación"}]}}],["p",{},["text",{},"Entiendo el problema. El error indica que ese modelo específico de Claude requiere un \"inference profile\" en lugar del ID directo. Voy a actualizar el código para usar un modelo compatible con Bedrock on-demand:"]],["AssistantMessageContentPart",{"part":{"createdAt":1763478835249,"finishedAt":1763478836855,"lastPartSentAt":1763478836764,"taskNameActive":"Leyendo API chat","taskNameComplete":"API chat leída","toolCallId":"toolu_014W3AUBv9D1hGPe8oW5X45f","id":"YMk7xJyLHr4d85s1","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"app/api/chat/route.ts"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1763478835912,"finishedAt":1763478836861,"lastPartSentAt":1763478836764,"taskNameActive":"Leyendo .env.example","taskNameComplete":".env.example leído","toolCallId":"toolu_011tnemV8RjBFqoTb1Eb8cVF","id":"fBM7e8NZwUbAjEAG","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":".env.example"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_8wTNyx3JtUP","parts":[{"type":"code-project","isVersioned":true,"isSourceless":false,"changedFiles":[{"fileName":"app/api/chat/route.ts","baseName":"route.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":".env.example","baseName":".env.example","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false},{"fileName":"BEDROCK-MODELS.md","baseName":"BEDROCK-MODELS.md","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"$127","latestDeploymentInfo":"$121:0:1","lastDeployedAt":"2025-11-18T15:15:18.569Z","sourceVersionKey":"v_1_7184q","needsBlockSource":false,"isAllImages":false,"blockId":"b_8wTNyx3JtUP","meta":{"type":"code-project","taskNameActive":"Corrigiendo modelo Bedrock","taskNameComplete":"Modelo Bedrock corregido","project":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Corrigiendo modelo Bedrock","taskNameComplete":"Modelo Bedrock corregido"},"id":"block-b_8wTNyx3JtUP"}],["p",{},["text",{},"He actualizado el código para usar Claude 3 Sonnet ("],["code",{},"anthropic.claude-3-sonnet-20240229-v1:0"],["text",{},"), que es compatible con on-demand throughput y funciona en todas las regiones. También creé una guía completa (BEDROCK-MODELS.md) que explica qué modelos funcionan, cómo habilitar acceso a modelos en tu región, y cómo usar Claude 3.5 Sonnet si lo necesitas. Actualiza tu archivo "],["code",{},".env.local"],["text",{}," con el nuevo modelo y reconstruye la aplicación."]],["AssistantMessageContentPart",{"part":{"createdAt":1763478871277,"finishedAt":1763478887590,"lastPartSentAt":1763478887518,"id":"BUBR3ZhMU7fSSYQ8","type":"task-diagnostics-v1","parts":[{"type":"fetching-diagnostics"},{"type":"diagnostics-passed"}]}}]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"NOnqkGOoruR97H4aPxFUJUodjB00uHEs","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"LUN1tfRADq3EWnc0E91oEKrodeFM4OkW","type":"message","creditCost":0.109086,"workMetrics":{"diffMap":{".env.example":{"addedLines":11,"removedLines":2},"BEDROCK-MODELS.md":{"addedLines":88,"removedLines":0},"app/api/chat/route.ts":{"addedLines":4,"removedLines":1}},"linesRead":97,"agentActions":3},"createdAt":"$D2025-11-18T15:13:44.465Z","updatedAt":"$D2025-11-18T15:14:47.787Z"},{"content":{"type":"parts","parts":[{"type":"mdx","content":"el codigo de .env.example"}],"version":1},"role":"user","id":"JJYHPTc7xtVeMA6RpNhjsk1Xrc2hIAPm","attachments":[],"parentId":"NOnqkGOoruR97H4aPxFUJUodjB00uHEs","type":"message","authorId":"6DBbJ5Yasbrx40XrCUjL2Vp2","createdAt":"$D2025-11-18T15:17:18.226Z"},{"content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1763479042224,"finishedAt":1763479044006,"lastPartSentAt":1763479044006,"taskNameActive":null,"id":"1IB5S2aNHkaut7a6","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"The user is asking me to provide the code for .env.example so they can copy it directly. They want the complete content of the file displayed so they can copy and paste it into their server.\n\nI should read the current .env.example file and display its complete content."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1763479044502,"finishedAt":1763479044998,"lastPartSentAt":1763479044976,"taskNameActive":"Leyendo .env.example","taskNameComplete":".env.example leído","toolCallId":"toolu_01Jaqxs1DRfmtzYUgN6FynRz","id":"4UwkFj04UQsIOZAl","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":".env.example"}]}}],["p",{},["text",{},"Aquí está el contenido completo del archivo "],["code",{},".env.example"],["text",{}," para copiar:"]],["Codeblock",{"lang":"plaintext","meta":{},"closed":true},"# Amazon Bedrock Configuration\n# Obtén estas credenciales desde la consola de AWS IAM\n# https://console.aws.amazon.com/iam/\n\nAWS_ACCESS_KEY_ID=tu_access_key_aqui\nAWS_SECRET_ACCESS_KEY=tu_secret_key_aqui\nAWS_REGION=us-east-1\n\n# Modelo de Bedrock a utilizar\n# IMPORTANTE: Usa modelos que soporten on-demand throughput\n# \n# Modelos recomendados (funcionan con on-demand):\n# - anthropic.claude-3-sonnet-20240229-v1:0 (Claude 3 Sonnet - RECOMENDADO)\n# - anthropic.claude-3-haiku-20240307-v1:0 (Claude 3 Haiku - Más rápido y económico)\n# - anthropic.claude-v2:1 (Claude 2.1 - Versión anterior)\n#\n# NOTA: Claude 3.5 Sonnet requiere inference profiles en algunas regiones\n# Si quieres usar modelos más nuevos, verifica disponibilidad en tu región:\n# https://docs.aws.amazon.com/bedrock/latest/userguide/model-ids.html\nBEDROCK_MODEL_ID=anthropic.claude-3-sonnet-20240229-v1:0"],["p",{},["text",{},"Copia este contenido, guárdalo como "],["code",{},".env.local"],["text",{}," en la raíz de tu proyecto, y reemplaza "],["code",{},"tu_access_key_aqui"],["text",{}," y "],["code",{},"tu_secret_key_aqui"],["text",{}," con tus credenciales reales de AWS. El modelo por defecto ahora es Claude 3 Sonnet que funciona con on-demand en todas las regiones."]]]],[1,{}]]},"context":[],"isContentLoading":false,"role":"assistant","id":"ShWf4S055y6f1DDPCaAtCKnvvVm0LE10","gitRevision":null,"streaming":false,"finishReason":"stop","parentId":"JJYHPTc7xtVeMA6RpNhjsk1Xrc2hIAPm","type":"message","creditCost":0.0910395,"workMetrics":{"diffMap":{},"linesRead":21,"agentActions":1},"createdAt":"$D2025-11-18T15:17:18.227Z","updatedAt":"$D2025-11-18T15:17:32.368Z"}],"lastSyncedAt":1792881634281,"undo":null,"activeForkKey":["OI8RJfEChqrBDpVOyUSuyVWJN2diOo3Q","wHVjVQAzXZHGsbDcjYMNA9qllWyaTjg2","DeUY1M4D7zlfXGGulbkk487FolhTZ88G","m06KlqcbYUdtOByLiekLblNEimizP9MU","0KTCklUvi0BNddVO16m5Ff4UvCNvYf1O","YFrvBTqTWF7gq9vgwDCSkIysI1mCRBLU","DDrSiBErnP4R0L1lpmFIoMsRMM10Ksrv","Zf9Y0wBbqQlDTJ03PEZljdXKkkTGFnEH","9FIq9saIclJrvzAnqcocrn0eO4aFYmgb","rvUOFZCqVnOP8PPoWvpooT2ZlJBJ3pVM","mWGCy6xnkVkNLMaYvGp401tP8jndBmKT","U87bAiacdQ6TvUOVkEZUU7lO1VpPayHV","L8tTT3EQHKRQp0iRVViJHV5Ofi1UxkXH","M0jOkT96AoFss8u1tQpteVBIR5Bs1iLV","jF6TXWVpgcTuIJjQ3Duxq2pHtjOed6sQ","8ZvV1jnbbdiKP8EfW1dR3tz41nUB6U1X","5tXvH9H6oo2CQKpgL6bqQq2RU9zwdpuj","c65Lg1kQrJ9NNGtLvZmJFFAY5nU36cWO","5wKuYASRFydntZW1r6jPMNShNL2CNXav","Uhe9SxOqhkTMDSskobFxlbOjiwArXYzO","TgUmcEzUye45ycsE87WkaIm7xO6E759b","5cWfAv0ifmN51tZ8Mbwg80uG4U3dNO0V","S5K58UAYoDPpHdp9qSymgh7MOTvPhTYV","J6T4attAVzMXsmtJCmZBASE4CzDJ7NCF","liIeodHQu7G6MaUOiRTazwt2HXCBd1TU","V5xM7fzAkT5hdvd1BHJmmmCablO2ZpOR","4tu44NIwIZRDDlx9kTUOUlkIrUEawUwJ","Kb1s7Mm5sFwo4xYAejmwFGFObvfbNndO","LUN1tfRADq3EWnc0E91oEKrodeFM4OkW","NOnqkGOoruR97H4aPxFUJUodjB00uHEs","JJYHPTc7xtVeMA6RpNhjsk1Xrc2hIAPm","ShWf4S055y6f1DDPCaAtCKnvvVm0LE10"],"lifecycle":{"phase":"idle","persistence":"persisted"},"isAuthor":false,"isRestoring":false,"hashMessageId":null},"@\"active-block\",\"gJIcA2etgqp\",":{"id":"b_8wTNyx3JtUP","meta":{"type":"code-project","taskNameActive":"Corrigiendo modelo Bedrock","taskNameComplete":"Modelo Bedrock corregido","project":"Code"},"initial":true,"type":"code-project","messageId":"NOnqkGOoruR97H4aPxFUJUodjB00uHEs","language":"typescriptreact","source":"$128","closed":true,"hasSourceBeenEdited":false,"lastDeployedAt":"2025-11-18T15:15:18.569Z","latestDeploymentInfo":"$121:0:1","isLoading":false,"needsBlockSource":false},"@\"chat:meta\",\"gJIcA2etgqp\",":{"title":"Spanish conversation","authorId":"6DBbJ5Yasbrx40XrCUjL2Vp2","ownerId":"team_kmfdA70CwglNQUPNfdxXLLpa","storageEntityType":null,"storageEntityId":null,"tailwindV4Default":true,"vercelProjectId":"prj_UMSa2hcMUz7UKnWU7mxUhogEB1yi","canWriteToChat":false,"nextVersionDefault":16},"@\"chat:vm-mode\",\"gJIcA2etgqp\",":false,"@\"chat:vercel-project\",\"gJIcA2etgqp\",":"$@129","@\"team:sensitive-environment-variable-policy\",\"gJIcA2etgqp\",":"$@12a","@\"block-view\",\"gJIcA2etgqp\",":true,"integrations:figma":"$@12b"},"children":["$L12c","$L12d","$L12e","$L12f","$L130"]}]}]}]
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