amazon-alexa — quality + safety report

---
name: amazon-alexa
description: "Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB, Polly, Transcribe, Lex, Smart Home)."
risk: safe
source: community
date_added: '2026-03-06'
author: renat
tags:
- voice
- alexa
- aws
- smart-home
- iot
tools:
- claude-code
- antigravity
- cursor
- gemini-cli
- codex-cli
---

# AMAZON ALEXA — Voz Inteligente com Claude

## Overview

Integracao completa com Amazon Alexa para criar skills de voz inteligentes, transformar Alexa em assistente com Claude como cerebro (projeto Auri) e integrar com AWS ecosystem (Lambda, DynamoDB, Polly, Transcribe, Lex, Smart Home).

## When to Use This Skill

- When you need specialized assistance with this domain

## Do Not Use This Skill When

- The task is unrelated to amazon alexa
- A simpler, more specific tool can handle the request
- The user needs general-purpose assistance without domain expertise

## How It Works

> Voce e o especialista em Alexa e AWS Voice. Missao: transformar
> qualquer dispositivo Alexa em assistente ultra-inteligente usando
> Claude como LLM backend, com voz neural, memoria persistente e
> controle de Smart Home. Projeto-chave: AURI.

---

## 1. Visao Geral Do Ecossistema

```
[Alexa Device] → [Alexa Cloud] → [AWS Lambda] → [Claude API]
    Fala          Transcricao      Logica          Inteligencia
      ↑               ↑               ↑                ↑
   Usuario         Intent        Handler          Anthropic
                               + DynamoDB
                               + Polly TTS
                               + APL Visual
```

## Componentes Da Arquitetura Auri

| Componente | Servico AWS | Funcao |
|-----------|-------------|--------|
| Voz → Texto | Alexa ASR nativo | Reconhecimento de fala |
| NLU | ASK Interaction Model + Lex V2 | Extrair intent e slots |
| Backend | AWS Lambda (Python/Node.js) | Logica e orquestracao |
| LLM | Claude API (Anthropic) | Inteligencia e respostas |
| Persistencia | Amazon DynamoDB | Historico e preferencias |
| Texto → Voz | Amazon Polly (neural) | Fala natural da Auri |
| Interface Visual | APL (Alexa Presentation Language) | Telas em Echo Show |
| Smart Home | Alexa Smart Home API | Controle de dispositivos |
| Automacao | Alexa Routines API | Rotinas inteligentes |

---

### 2.1 Pre-Requisitos

```bash

## Ask Cli

npm install -g ask-cli
ask configure

## Aws Cli

pip install awscli
aws configure
```

## Criar Skill Com Template

ask new \
  --template hello-world \
  --skill-name auri \
  --language pt-BR

## └── .Ask/Ask-Resources.Json

```

## 2.3 Configurar Invocation Name

No arquivo `models/pt-BR.json`:
```json
{
  "interactionModel": {
    "languageModel": {
      "invocationName": "auri"
    }
  }
}
```

---

## 3.1 Intents Essenciais Para Auri

```json
{
  "interactionModel": {
    "languageModel": {
      "invocationName": "auri",
      "intents": [
        {"name": "AMAZON.HelpIntent"},
        {"name": "AMAZON.StopIntent"},
        {"name": "AMAZON.CancelIntent"},
        {"name": "AMAZON.FallbackIntent"},
        {
          "name": "ChatIntent",
          "slots": [{"name": "query", "type": "AMAZON.SearchQuery"}],
          "samples": [
            "{query}",
            "me ajuda com {query}",
            "quero saber sobre {query}",
            "o que voce sabe sobre {query}",
            "explique {query}",
            "pesquise {query}"
          ]
        },
        {
          "name": "SmartHomeIntent",
          "slots": [
            {"name": "device", "type": "AMAZON.Room"},
            {"name": "action", "type": "ActionType"}
          ],
          "samples": [
            "{action} a {device}",
            "controla {device}",
            "acende {device}",
            "apaga {device}"
          ]
        },
        {
          "name": "RoutineIntent",
          "slots": [{"name": "routine", "type": "RoutineType"}],
          "samples": [
            "ativa rotina {routine}",
            "executa {routine}",
            "modo {routine}"
          ]
        }
      ],
      "types": [
        {
          "name": "ActionType",
          "values": [
            {"name": {"value": "liga", "synonyms": ["acende", "ativa", "liga"]}},
            {"name": {"value": "desliga", "synonyms": ["apaga", "desativa", "desliga"]}}
          ]
        },
        {
          "name": "RoutineType",
          "values": [
            {"name": {"value": "bom dia", "synonyms": ["acordar", "manhã"]}},
            {"name": {"value": "boa noite", "synonyms": ["dormir", "descansar"]}},
            {"name": {"value": "trabalho", "synonyms": ["trabalhar", "foco"]}},
            {"name": {"value": "sair", "synonyms": ["saindo", "goodbye"]}}
          ]
        }
      ]
    }
  }
}
```

---

## 4.1 Handler Principal Python

```python
import os
import time
import anthropic
import boto3
from ask_sdk_core.skill_builder import SkillBuilder
from ask_sdk_core.handler_input import HandlerInput
from ask_sdk_core.utils import is_intent_name, is_request_type
from ask_sdk_model import Response
from ask_sdk_dynamodb_persistence_adapter import DynamoDbPersistenceAdapter

## ============================================================

@sb.request_handler(can_handle_func=is_request_type("LaunchRequest"))
def launch_handler(handler_input: HandlerInput) -> Response:
    attrs = handler_input.attributes_manager.persistent_attributes
    name = attrs.get("name", "")
    greeting = f"Oi{', ' + name if name else ''}! Eu sou a Auri. Como posso ajudar?"
    return (handler_input.response_builder
            .speak(greeting).ask("Em que posso ajudar?").response)


@sb.request_handler(can_handle_func=is_intent_name("ChatIntent"))
def chat_handler(handler_input: HandlerInput) -> Response:
    try:
        # Obter query
        slots = handler_input.request_envelope.request.intent.slots
        query = slots["query"].value if slots.get("query") else None
        if not query:
            return (handler_input.response_builder
                    .speak("Pode repetir? Nao entendi bem.").ask("Pode repetir?").response)

        # Carregar historico
        attrs = handler_input.attributes_manager.persistent_attributes
        history = attrs.get("history", [])

        # Montar mensagens para Claude
        messages = history[-MAX_HISTORY:]
        messages.append({"role": "user", "content": query})

        # Chamar Claude
        client = anthropic.Anthropic(api_key=os.environ["ANTHROPIC_API_KEY"])
        response = client.messages.create(
            model=CLAUDE_MODEL,
            max_tokens=512,
            system=AURI_SYSTEM_PROMPT,
            messages=messages
        )
        reply = response.content[0].text

        # Truncar para nao exceder timeout
        if len(reply) > MAX_RESPONSE_CHARS:
            reply = reply[:MAX_RESPONSE_CHARS] + "... Quer que eu continue?"

        # Salvar historico
        history.append({"role": "user", "content": query})
        history.append({"role": "assistant", "content": reply})
        attrs["history"] = history[-50:]  # Manter ultimas 50
        handler_input.attributes_manager.persistent_attributes = attrs
        handler_input.attributes_manager.save_persist

### 4.2 Variaveis De Ambiente Lambda

```
ANTHROPIC_API_KEY=sk-...  (armazenar em Secrets Manager)
DYNAMODB_TABLE=auri-users
AWS_REGION=us-east-1
```

### 4.3 Requirements.Txt

```
ask-sdk-core>=1.19.0
ask-sdk-dynamodb-persistence-adapter>=1.19.0
anthropic>=0.40.0
boto3>=1.34.0
```

---

### 5.1 Criar Tabela

```bash
aws dynamodb create-table \
  --table-name auri-users \
  --attribute-definitions AttributeName=userId,AttributeType=S \
  --key-schema AttributeName=userId,KeyType=HASH \
  --billing-mode PAY_PER_REQUEST \
  --region us-east-1
```

### 5.2 Schema Do Usuario

```json
{
  "userId": "amzn1.ask.account.XXXXX",
  "name": "Joao",
  "history": [
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ],
  "preferences": {
    "language": "pt-BR",
    "voice": "Vitoria",
    "personality": "assistente profissional"
  },
  "smartHome": {
    "devices": {},
    "routines": {}
  },
  "updatedAt": 1740960000,
  "ttl": 1748736000
}
```

### 5.3 Ttl Automatico (Expirar Dados Antigos)

```python
import time

## Adicionar Ttl De 180 Dias Ao Salvar

attrs["ttl"] = int(time.time()) + (180 * 24 * 3600)
```

---

### 6.1 Vozes Disponiveis (Portugues)

| Voice | Idioma | Tipo | Recomendado |
|-------|--------|------|-------------|
| `Vitoria` | pt-BR | Neural | ✅ Auri PT-BR |
| `Camila` | pt-BR | Neural | Alternativa |
| `Ricardo` | pt-BR | Standard | Masculino |
| `Ines` | pt-PT | Neural | Portugal |

### 6.2 Integrar Polly Na Resposta

```python
import boto3
import base64

def synthesize_polly(text: str, voice_id: str = "Vitoria") -> str:
    """Retorna URL de audio Polly para usar em Alexa."""
    client = boto3.client("polly", region_name="us-east-1")
    response = client.synthesize_speech(
        Text=text,
        OutputFormat="mp3",
        VoiceId=voice_id,
        Engine="neural"
    )
    # Salvar em S3 e retornar URL
    # (necessario para usar audio customizado no Alexa)
    return upload_to_s3(response["AudioStream"].read())

def speak_with_polly(handler_input, text, voice_id="Vitoria"):
    """Retornar resposta usando voz Polly customizada via SSML."""
    audio_url = synthesize_polly(text, voice_id)
    ssml = f'<speak><audio src="{audio_url}"/></speak>'
    return handler_input.response_builder.speak(ssml)
```

### 6.3 Ssml Para Controle De Voz

```xml
<speak>
  <prosody rate="90%" pitch="+5%">
    Oi! Eu sou a Auri.
  </prosody>
  <break time="0.5s"/>
  <emphasis level="moderate">Como posso ajudar?</emphasis>
</speak>
```

---

### 7.1 Template De Chat

```json
{
  "type": "APL",
  "version": "2023.3",
  "theme": "dark",
  "mainTemplate": {
    "parameters": ["payload"],
    "items": [{
      "type": "Container",
      "width": "100%",
      "height": "100%",
      "backgroundColor": "#1a1a2e",
      "items": [
        {
          "type": "Text",
          "text": "AURI",
          "fontSize": "32px",
          "color": "#e94560",
          "textAlign": "center",
          "paddingTop": "20px"
        },
        {
          "type": "Text",
          "text": "${payload.lastResponse}",
          "fontSize": "24px",
          "color": "#ffffff",
          "padding": "20px",
          "maxLines": 8,
          "grow": 1
        },
        {
          "type": "Text",
          "text": "Diga algo para continuar...",
          "fontSize": "18px",
          "color": "#888888",
          "textAlign": "center",
          "paddingBottom": "20px"
        }
      ]
    }]
  }
}
```

### 7.2 Adicionar Apl Na Resposta

```python
@sb.request_handler(can_handle_func=is_intent_name("ChatIntent"))
def chat_with_apl(handler_input: HandlerInput) -> Response:
    # ... obter reply do Claude ...

    # Verificar se device suporta APL
    supported = handler_input.request_envelope.context.system.device.supported_interfaces
    has_apl = getattr(supported, "alexa_presentation_apl", None) is not None

    if has_apl:
        apl_directive = {
            "type": "Alexa.Presentation.APL.RenderDocument",
            "token": "auri-chat",
            "document": CHAT_APL_DOCUMENT,
            "datasources": {"payload": {"lastResponse": reply}}
        }
        handler_input.response_builder.add_directive(apl_directive)

    return handler_input.response_builder.speak(reply).ask("Mais alguma coisa?").response
```

---

### 8.1 Ativar Smart Home Skill

No `skill.json`, adicionar:
```json
{
  "apis": {
    "smartHome": {
      "endpoint": {
        "uri": "arn:aws:lambda:us-east-1:123456789:function:auri-smart-home"
      }
    }
  }
}
```

### 8.2 Handler De Smart Home

```python
def handle_smart_home_directive(event, context):
    namespace = event["directive"]["header"]["namespace"]
    n

… (truncated)