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
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Simulate a dialog from an Alexa-enabled device and receive the skill response for the specified example utterance. See the documentation
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`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}