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Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
The JeffreyAI API offers a suite of AI-driven capabilities such as natural language understanding, image recognition, and sentiment analysis. With these tools, you can automate and enhance various aspects of your applications, from analyzing customer feedback to moderating content. Integrating the JeffreyAI API with Pipedream allows you to seamlessly connect its AI features with hundreds of other apps to create powerful workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
jeffreyai: {
type: "app",
app: "jeffreyai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.jeffreyai.$auth.environment}.jeffreyai.com/contact/ContactService.svc/GetContacts`,
headers: {
"Authorization": `${this.jeffreyai.$auth.oauth_access_token}`,
"accept": `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)
}