Integrate the Koala AI API with the Go API

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

Popular Koala AI 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.

Try it

Overview of Koala AI#

The Koala AI API enables intelligent analysis of text and conversation data, offering insights and automation capabilities. With Koala AI API on Pipedream, you can craft serverless workflows that respond to data in real-time. Use it to analyze sentiment, categorize content, extract entities, and more. Build workflows that trigger on new data, process it through Koala AI, and act on the insights gained, like updating a database, sending notifications, or enriching CRM information.

Connect Koala AI#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    koala_ai: {
      type: "app",
      app: "koala_ai",
    }
  },
  async run({steps, $}) {
    const data = {
      "targetKeyword": `What is Pipedream?`,
      "gptVersion": `gpt-3.5`,
    }
    return await axios($, {
      method: "post",
      url: `https://koala.sh/api/articles/`,
      headers: {
        Authorization: `Bearer ${this.koala_ai.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
      data,
    })
  },
})

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)
}