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with Slottable and Google Dialogflow?

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Create Context with Google Dialogflow API on Booking Contact Updated from Slottable API
Slottable + Google Dialogflow
 
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Create Context with Google Dialogflow API on Contact Updated from Slottable API
Slottable + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Booking Contact Updated from Slottable API
Slottable + Google Dialogflow
 
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Create Entities with Google Dialogflow API on Contact Updated from Slottable API
Slottable + Google Dialogflow
 
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Create Entity Type with Google Dialogflow API on Booking Contact Updated from Slottable API
Slottable + Google Dialogflow
 
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Booking Contact Updated from the Slottable API

Emit new event when a booking contact is changed (new, updated, or deleted) in Slottable.

 
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Contact Updated from the Slottable API

Emit new event when a contact is changed (new, updated, or deleted) in Slottable.

 
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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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Create Entity Type with the Google Dialogflow API

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

 
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Create Intent with the Google Dialogflow API

Creates an intent, See REST docs and client API

 
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Create or Update Agent with the Google Dialogflow API

Creates new agent, updates if already created See REST docs and client API

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

Overview of Slottable

The Slottable API provides a way to manage scheduling by creating, updating, and deleting slots related to appointments, classes, or any event that requires booking. With Pipedream's serverless platform, you can automate workflows that trigger based on actions within Slottable or external events, and then interact with the Slottable API to manage your scheduling data. This might include syncing booking information with a calendar, sending reminders or follow-up emails, or aggregating data for analytics.

Connect Slottable

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    slottable: {
      type: "app",
      app: "slottable",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://slottable.app/api/v1/token`,
      headers: {
        Authorization: `Bearer ${this.slottable.$auth.api_token}`,
        "Accept": `application/json`,
        "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