Alexa is Amazon’s cloud-based voice service available on hundreds of millions of devices from Amazon and third-party device manufacturers. With Alexa, you can build natural voice experiences
Get the results of the specified simulation for an Alexa skill. See the documentation
Add or update a single record in your Pipedream Data Store.
Simulate a dialog from an Alexa-enabled device and receive the skill response for the specified example utterance. See the documentation
Add or update multiple records to your Pipedream Data Store.
Append to a record in your data store Pipedream Data Store. If the record does not exist, a new record will be created in an array format.
The Amazon Alexa API connects your Pipedream workflows to Alexa's smart capabilities, enabling you to build voice-driven interactions and extend the functionality of Alexa Skills. Interact with users through their Alexa devices, manage and update Skills, or harness Alexa's smart home control. With Pipedream's serverless platform, you can create complex workflows that respond to Alexa events, trigger actions in other services, or process voice commands for custom outcomes.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
amazon_alexa: {
type: "app",
app: "amazon_alexa",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.amazonalexa.com/v1/skills/{{your_skill_id}}/credentials`, //for testing: amzn1.ask.skill.94225570-3d93-4671-acb0-34160d640740
headers: {
Authorization: `Bearer ${this.amazon_alexa.$auth.oauth_access_token}`,
"Accept": `application/json`,
"Content-Type": `application/json`,
},
})
},
})
Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.
export default defineComponent({
props: {
myDataStore: {
type: "data_store",
},
},
async run({ steps, $ }) {
await this.myDataStore.set("key_here","Any serializable JSON as the value")
return await this.myDataStore.get("key_here")
},
})