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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.
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,
})
},
})
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.