Alexa：请求的技能未在 LauchRequest 上提供有效响应答案

【问题标题】：Alexa: The requested skill did not provide a valid response on LauchRequestAlexa：请求的技能未在 LauchRequest 上提供有效响应
【发布时间】：2020-02-08 08:13:23
【问题描述】：

我最近开始了 Alexa 开发。今天突然开始变了

我以前没有遇到过。

lambda 函数 (index.js)：

"use strict";

const Alexa = require("ask-sdk-core");
const http = require("http");

exports.handler = async (event, context, callback) => {
  try {
    if (event.request.type === "LaunchRequest") {
      var welcomeMessage = '<speak>Hi</speak>';

      callback(null, buildResponse(welcomeMessage, false));
    }

    else if (event.request.type === "AMAZON.CancelIntent") {
      var msg2 = "<speak>Stopped!</speak>";

      callback(null, buildResponse(msg2, true));
    }
  } catch (e) {
      context.fail("Exception: ${e}");
  }
};

function buildResponse(response, shouldEndSession) {
  return {
    version: "1.0",
    response: {
      outputSpeech: {
        type: "SSML",
        ssml: response
      },
      shouldEndSession: shouldEndSession
    },
    sessionAttributes: {}
  };
}

package.json 文件：

{
  "name": "third-test-skill",
  "version": "1.0.0",
  "description": "...",
  "main": "index.js",
  "scripts": {
    "test": "echo \"Error: no test specified\" && exit 1"
  },
  "author": "Subrata Sarkar",
  "license": "ISC",
  "dependencies": {
    "ask-sdk-core": "^2.5.2",
    "ask-sdk-model": "^1.15.1"
  }
}

我创建技能的步骤：

从 AWS Alexa 控制台创建了一项技能
创造的技能
添加了示例话语
选择 Lamda 作为终点创建了一个名为 movieFacts 的函数
上传的 .zip 文件包含以下文件结构。

node_modules
  |- ask-sdk-core
  |- ask-sdk-model
  |- ask-sdk-runtime
index.js
package.json
package.json.lock

当我说movie facts 时，我收到以下消息：

请求的技能没有提供有效的响应

这是我收到的 JSON 输出：

{
    "version": "1.0",
    "session": {
        "new": false,
        "sessionId": "amzn1.echo-api.session.beca8832-50fe-4d17-96a4-30c855b18a4f",
        "application": {
            "applicationId": "amzn1.ask.skill.bdb88b1b-5a4a-4b37-9b63-71e78337bbca"
        },
        "user": {
            "userId": "amzn1.ask.account.AEG2YALM6KQANVKR3YSUWKVN5DCKE66NJKN23SZIKRKZCVTU67E2JBZ5STPFIN325WNGGO5Z73FMVVL5X2SVEM27YEPD5VFNMPVDQSQK5XYW3NXOXSEIK6YPHE5HTZLGLCWW4VVQHLYECL6YBLG4XOTM2HTV5VCCQMPLVCIATFRSNS4DLHJFLY32JHD5N5MAPFBNRVN3YV7B53A"
        }
    },
    "context": {
        "System": {
            "application": {
                "applicationId": "amzn1.ask.skill.bdb88b1b-5a4a-4b37-9b63-71e78337bbca"
            },
            "user": {
                "userId": "amzn1.ask.account.AEG2YALM6KQANVKR3YSUWKVN5DCKE66NJKN23SZIKRKZCVTU67E2JBZ5STPFIN325WNGGO5Z73FMVVL5X2SVEM27YEPD5VFNMPVDQSQK5XYW3NXOXSEIK6YPHE5HTZLGLCWW4VVQHLYECL6YBLG4XOTM2HTV5VCCQMPLVCIATFRSNS4DLHJFLY32JHD5N5MAPFBNRVN3YV7B53A"
            },
            "device": {
                "deviceId": "amzn1.ask.device.AFXLD474IMHMD5V35NT2ZNUD5YLK2LTEJZUMO6DS2MY7ANONMZDZ67C3MU44OBJ6B5N4TPOXIJ64FBEFEOVOB2K4SSYEN3VTRSIHZETNTBNCDYUG6RGFIOKH7S7OBID6CG3WIHB774LNO4CFKWFUXYSNHD5HIAAXCEDKZ3U4EN7QB6EN4RRHQ",
                "supportedInterfaces": {}
            },
            "apiEndpoint": "https://api.amazonalexa.com",
            "apiAccessToken": "eyJ0eXAiOiJKV1QiLCJhbGciOiJSUzI1NiIsImtpZCI6IjEifQ.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.UyCg4MXlOe16SlOyJnjAIiHzVpdLkRjd-izoKkUnGqiyZ0L_5eUpg8tKvVrCvTLNMtJS6ElksxgVfuLcNeOIwSbXtYCOXcSLRYbpcpgFI6oeamOZ2Yo-UMDEjzYi75fABuJyUJyZxp-Pieer8PMZO4G9-5zJXCVY2x3M_dmlpX23UBJDpW0DKddvAOzConmwgdaf3v_EWfc2q8BaCQIM950rEUbejOa08_AwE5CsqjNA9sD22QduE5hs09RV4-F-kU1zKvwwyDVDKyOkdFZQFEmCTC11_jI64re9c22e-hYR4leIE5XntNApMgtwaL-tHyjsJzVDVDfZd2q3w6wxYA"
        },
        "Viewport": {
            "experiences": [
                {
                    "arcMinuteWidth": 246,
                    "arcMinuteHeight": 144,
                    "canRotate": false,
                    "canResize": false
                }
            ],
            "shape": "RECTANGLE",
            "pixelWidth": 1024,
            "pixelHeight": 600,
            "dpi": 160,
            "currentPixelWidth": 1024,
            "currentPixelHeight": 600,
            "touch": [
                "SINGLE"
            ],
            "video": {
                "codecs": [
                    "H_264_42",
                    "H_264_41"
                ]
            }
        }
    },
    "request": {
        "type": "SessionEndedRequest",
        "requestId": "amzn1.echo-api.request.c7b1b910-6309-48aa-af35-10ac0a20b5da",
        "timestamp": "2019-05-07T14:55:10Z",
        "locale": "en-US",
        "reason": "ERROR",
        "error": {
            "type": "INVALID_RESPONSE",
            "message": "An exception occurred while dispatching the request to the skill."
        }
    }
}

【问题讨论】：

标签： alexa-skills-kit alexa-skill

【解决方案1】：

我认为删除欢迎信息周围的 <speak> 和 </speak> 标记应该可以。它们默认由 Alexa 生成，因此您无需在回复中提供它们。

【讨论】：

【解决方案2】：

在我的情况下发生的事情（绝对值得检查）是我使用无服务器框架来部署 Lambda，我更改了 serverless.yml 中的配置，但忘记更新 Lambda ARN Alexa 端点。

将 Endpoint 更新为正确的 ARN 并重建解决了该问题。

【讨论】：