Código para integrar Amazon Nova Lite en una Alexa Skill

Lambda_fuction_Nova_Lite.py

import json
import boto3

bedrock = boto3.client('bedrock-runtime')

def lambda_handler(event, context):
    try:
        intent_name = event['request']['intent']['name']

        if intent_name == 'GenerarTextoNova':
            prompt = event['request']['intent']['slots']['consulta']['value']
            response = invoke_nova_micro(prompt)
            speech_text = response
        else:
            speech_text = "Lo siento, no entiendo esa solicitud."

        return {
            'version': '1.0',
            'response': {
                'outputSpeech': {
                    'type': 'PlainText',
                    'text': speech_text
                },
                'shouldEndSession': True
            }
        }
    except Exception as e:
        print(f"Error: {e}")
        return {
            'version': '1.0',
            'response': {
                'outputSpeech': {
                    'type': 'PlainText',
                    'text': "Lo siento, hubo un problema al procesar tu solicitud."
                },
                'shouldEndSession': True
            }
        }

def invoke_nova_micro(prompt):
    model_id = 'amazon.titan-text-lite-v1'  # Reemplaza con el ARN exacto de Nova Micro si es diferente
    accept = 'application/json'
    content_type = 'application/json'

    body = json.dumps({
        "inputText": prompt,
        "textGenerationConfig": {
            "maxTokens": 200,  # Ajusta según tus necesidades
            "temperature": 0.7,  # Ajusta para controlar la aleatoriedad
            "topP": 0.9
        }
    })

    response = bedrock.invoke_model(
        body=body,
        modelId=model_id,
        accept=accept,
        contentType=content_type
    )

    response_body = json.loads(response.get('body').read())
    generated_text = response_body.get('results')[0].get('outputText')
    return generated_text

Lambda_fuction_Nova_Lite_v2.py

import json
import boto3

bedrock = boto3.client('bedrock-runtime', region_name="us-east-1")

def lambda_handler(event, context):
    try:
        intent_name = event['request']['intent']['name']

        if intent_name == 'GenerarTextoNova':
            prompt = event['request']['intent']['slots']['consulta']['value']
            response = invoke_titan_text(prompt)
            speech_text = response
        else:
            speech_text = "Lo siento, no entiendo esa solicitud."

        return {
            'version': '1.0',
            'response': {
                'outputSpeech': {
                    'type': 'PlainText',
                    'text': speech_text
                },
                'shouldEndSession': True
            }
        }
    except Exception as e:
        print(f"Error: {e}")
        return {
            'version': '1.0',
            'response': {
                'outputSpeech': {
                    'type': 'PlainText',
                    'text': "Lo siento, hubo un problema al procesar tu solicitud."
                },
                'shouldEndSession': True
            }
        }

def invoke_titan_text(prompt):
    model_id = 'amazon.titan-text-lite-v1'
    accept = 'application/json'
    content_type = 'application/json'

    body = json.dumps({
        "inputText": prompt,
        "textGenerationConfig": {
            "maxTokenCount": 200,   # ✅ nombre correcto
            "temperature": 0.7,
            "topP": 0.9
        }
    })

    response = bedrock.invoke_model(
        body=body,
        modelId=model_id,
        accept=accept,
        contentType=content_type
    )

    response_body = json.loads(response['body'].read())
    generated_text = "Nova Lite responde: " + response_body['results'][0]['outputText']

    return generated_text