What do you want to automate

with LiveAgent and Google Dialogflow?

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

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Create Context with Google Dialogflow API on New Customer from LiveAgent API
LiveAgent + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Customer from LiveAgent API
LiveAgent + Google Dialogflow
 
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Create Entity Type with Google Dialogflow API on New Customer from LiveAgent API
LiveAgent + Google Dialogflow
 
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Create Intent with Google Dialogflow API on New Customer from LiveAgent API
LiveAgent + Google Dialogflow
 
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Create or Update Agent with Google Dialogflow API on New Customer from LiveAgent API
LiveAgent + Google Dialogflow
 
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New Customer from the LiveAgent API

Emit new event on each new customer.

 
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Create Customer with the LiveAgent API

Creates a customer. See docs here

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

Overview of LiveAgent

The LiveAgent API provides access to a feature-rich helpdesk platform, allowing you to automate customer support tasks, synchronize data with other services, and streamline communication channels. With Pipedream, you can tap into the LiveAgent API to create custom workflows that enhance support operations, trigger actions based on customer interactions, and connect with a myriad of other apps to enrich the support ecosystem. Pipedream's serverless platform makes it simple to set up these automations with minimal coding, using pre-built actions or scripting your own.

Connect LiveAgent

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    liveagent: {
      type: "app",
      app: "liveagent",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.liveagent.$auth.domain}.ladesk.com/api/v3/agents`,
      headers: {
        "apikey": `${this.liveagent.$auth.api_key}`,
        "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