What do you want to automate

with Cloudpress and Google Dialogflow?

Prompt, edit and deploy AI agents that connect to Cloudpress, Google Dialogflow and 2,500+ other apps in seconds.

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Create Context with Google Dialogflow API on Document Export Failed from Cloudpress API
Cloudpress + Google Dialogflow
 
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Create Context with Google Dialogflow API on Document Export Succeeded from Cloudpress API
Cloudpress + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Document Export Failed from Cloudpress API
Cloudpress + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Document Export Succeeded from Cloudpress API
Cloudpress + Google Dialogflow
 
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Create Entity Type with Google Dialogflow API on Document Export Failed from Cloudpress API
Cloudpress + Google Dialogflow
 
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Document Export Failed from the Cloudpress API

Emit new event when a document export fails in Cloudpress.

 
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Document Export Succeeded from the Cloudpress API

Emit new event when a document export succeeds in Cloudpress.

 
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Create Context with the Google Dialogflow API

Creates a context, See REST docs and client API

 
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Create Entities with the Google Dialogflow API

Batch create entities, See REST docs and client API docs

 
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Export Collection with the Cloudpress API

Exports all content in a collection in Cloudpress. See the documentation

 
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Create Entity Type with the Google Dialogflow API

Creates an Entity Type, See REST docs and client API docs

 
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Export From Connection with the Cloudpress API

Exports content from a connection in Cloudpress. See the documentation

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

Overview of Cloudpress

The Cloudpress API lets you convert rich text content into various formats. With Pipedream, you can use this API to automate the process of converting and distributing content across different platforms. Think of it as your bridge between content creation and content publication, streamlining workflows that involve any sort of text formatting, conversion, or distribution.

Connect Cloudpress

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    cloudpress: {
      type: "app",
      app: "cloudpress",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.usecloudpress.com/v2/account`,
      headers: {
        Authorization: `Bearer ${this.cloudpress.$auth.personal_access_token}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

Overview of Google Dialogflow

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.

Connect Google Dialogflow

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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.`)
    }
  },
})

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo