with Cloudlayer and Google Dialogflow?
Batch create entities, See REST docs and client API docs
Creates an Entity Type, See REST docs and client API docs
Creates new agent, updates if already created See REST docs and client API
The Cloudlayer API transforms HTML or URLs into PDFs or images, enabling seamless creation of documents and screenshots programmatically. When integrated with Pipedream, you can automate document generation and distribution workflows, trigger PDF conversions based on specific actions within your apps, or archive web content as images for compliance or monitoring purposes. It's a powerful tool for generating reports, invoices, or snapshots of digital content without manual intervention.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
cloudlayer: {
type: "app",
app: "cloudlayer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.cloudlayer.io/v2/getStatus`,
headers: {
"X-API-Key": `${this.cloudlayer.$auth.api_key}`,
},
})
},
})
Google Dialogflow API empowers you to create conversational interfaces for websites, apps, and messaging platforms. Think chatbots that can engage in human-like dialogue, provide customer support, guide through sales processes, or control smart home devices with voice commands. With Pipedream's integration capabilities, you can create automated workflows that trigger actions in other apps based on Dialogflow's processed input, enabling seamless interaction across a plethora of services.
module.exports = defineComponent({
props: {
google_dialogflow: {
type: "app",
app: "google_dialogflow",
}
},
async run({steps, $}) {
// Example code from the Dialogflow Node.js library:
// https://github.com/googleapis/nodejs-dialogflow
const dialogflow = require('dialogflow')
const uuid = require('uuid')
// A unique identifier for the given session
const sessionId = uuid.v4()
const key = JSON.parse(this.google_dialogflow.$auth.key_json)
// Creates a session client from a Google service account key.
const sessionClient = new dialogflow.SessionsClient({
projectId: key.project_id,
credentials: {
client_email: key.client_email,
private_key: key.private_key,
}
})
const sessionPath = sessionClient.sessionPath(key.project_id, sessionId)
// The text query request.
const request = {
session: sessionPath,
queryInput: {
text: {
// The query to send to the dialogflow agent
text: 'hello',
// The language used by the client (en-US)
languageCode: 'en-US',
},
},
}
// Send request and log result
const responses = await sessionClient.detectIntent(request)
console.log('Detected intent')
const result = responses[0].queryResult
console.log(`Query: ${result.queryText}`)
console.log(`Response: ${result.fulfillmentText}`)
if (result.intent) {
console.log(`Intent: ${result.intent.displayName}`)
} else {
console.log(`No intent matched.`)
}
},
})