Integrate the wit.ai API with the Go API

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

Popular wit.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 wit.ai#

Wit.ai API enables your apps to process natural language and understand human commands contextually. With it, you can build conversational interfaces, decipher intent from text or voice inputs, and train your model to improve recognition. Pipedream provides a seamless platform to trigger workflows using this API, allowing the automation of tasks based on language cues. It's perfect for crafting custom bots, enhancing customer service, or streamlining internal operations by interpreting human requests and taking action accordingly.

Connect wit.ai#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    wit_ai: {
      type: "app",
      app: "wit_ai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.wit.ai/message?v=20170307&q=hello`,
      headers: {
        Authorization: `Bearer ${this.wit_ai.$auth.app_token}`,
      },
    })
  },
})

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)
}