Integrate the JeffreyAI API with the Go API

Setup the JeffreyAI API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate JeffreyAI and Go remarkably fast. Free for developers.

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Popular JeffreyAI and Go Actions#

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

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Overview of JeffreyAI#

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.

Connect JeffreyAI#

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`,
      },
    })
  },
})

Overview of Go#

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.

Connect Go#

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)
}

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