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with RingCentral and Google Dialogflow?

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Create Context with Google Dialogflow API on Missed Inbound Call (Instant) from RingCentral API
RingCentral + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Call Recording from RingCentral API
RingCentral + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Event (Instant) from RingCentral API
RingCentral + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Inbound Call (Instant) from RingCentral API
RingCentral + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Inbound Fax (Instant) from RingCentral API
RingCentral + Google Dialogflow
 
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New Call Recording from the RingCentral API

Emit new events when a call recording is created

 
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New Event (Instant) from the RingCentral API

Emit new event for each notification from RingCentral of a specified type

 
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New Inbound Call (Instant) from the RingCentral API

Emit new event on each incoming call

 
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New Inbound Fax (Instant) from the RingCentral API

Emit new event on each incoming fax

 
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New Inbound Message Event (Instant) from the RingCentral API

Emit new event for each status change of inbound messages of a specific type

 
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Create Contact with the RingCentral API

Creates a user personal contact. See the documentation

 
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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 Meeting with the RingCentral API

Creates a new meeting. See the API docs here

 
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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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Download Recording with the RingCentral API

Gets a recording and downloads it to the /tmp directory. See the documentation

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

Overview of RingCentral

RingCentral is a comprehensive cloud communication platform that melds messaging, video, and phone services. Integrating RingCentral with Pipedream allows for automated workflows involving SMS sending, call management, and leveraging communication logs for data-driven insights. With Pipedream's serverless execution model, you can trigger actions based on specific RingCentral events or schedule tasks to run at predetermined intervals, all without writing extensive code.

Connect RingCentral

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ringcentral: {
      type: "app",
      app: "ringcentral",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.ringcentral.$auth.instancetype}.ringcentral.com/restapi/v1.0/account/~`,
      headers: {
        Authorization: `Bearer ${this.ringcentral.$auth.oauth_access_token}`,
      },
    })
  },
})

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