Rasa

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Integrate the Rasa API with the Go API

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

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 Rasa

Rasa is an open-source platform for building conversational AI applications, including chatbots and voice assistants. It offers robust API endpoints for training models, managing conversations, and interpreting user messages, thus enabling the development of sophisticated AI-driven communication tools. When used with Pipedream, Rasa can automate dialogue flow, extract insights from conversation data, or trigger actions in other apps based on conversational cues.

Connect Rasa

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rasa: {
      type: "app",
      app: "rasa",
    }
  },
  async run({steps, $}) {
    const data = {
      "key": `${this.rasa.$auth.key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.rasa.io/v1/tokens`,
      headers: {
        "accept": `application/json`,
        "Content-type": `application/json`,
      },
      auth: {
        username: `${this.rasa.$auth.username}`,
        password: `${this.rasa.$auth.password}`,
      },
      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

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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)
}