What do you want to automate

with Vapi and Google Dialogflow?

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Create Context with Google Dialogflow API on New Conversation Started from Vapi API
Vapi + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Conversation Started from Vapi API
Vapi + Google Dialogflow
 
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Create Entity Type with Google Dialogflow API on New Conversation Started from Vapi API
Vapi + Google Dialogflow
 
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Create Intent with Google Dialogflow API on New Conversation Started from Vapi API
Vapi + Google Dialogflow
 
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Create or Update Agent with Google Dialogflow API on New Conversation Started from Vapi API
Vapi + Google Dialogflow
 
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New Conversation Started from the Vapi API

Emit new event when a voicebot starts a conversation.

 
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Create Call with the Vapi API

Starts a new conversation with an assistant. 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 Entities with the Google Dialogflow API

Batch create entities, See REST docs and client API docs

 
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Update Assistant Settings with the Vapi API

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

Overview of Vapi

The Vapi API delivers voice automation capabilities, letting you build powerful voice response systems. With Vapi, you can automate calls, send voice messages, and create dynamic interactions through speech recognition and text-to-speech. Pipedream's serverless platform allows you to integrate Vapi's API with numerous other services to automate workflows, react to events, and orchestrate complex voice-enabled processes.

Connect Vapi

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vapi: {
      type: "app",
      app: "vapi",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.vapi.ai/call`,
      headers: {
        Authorization: `Bearer ${this.vapi.$auth.api_key}`,
      },
    })
  },
})

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
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Gopuff logo
Gorgias logo
LinkedIn logo
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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