with Koala AI and Go?
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
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.
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,
})
},
})
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)
}