What do you want to automate

with Azure OpenAI and Google Dialogflow?

Prompt, edit and deploy AI agents that connect to Azure OpenAI, Google Dialogflow and 2,800+ other apps in seconds.

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Chat with the Azure OpenAI API

Create completions for chat messages with the GPT-35-Turbo and GPT-4 models. 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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Classify Items Into Categories with the Azure OpenAI API

Classify items into specific categories. See the documentation

 
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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 Image with the Azure OpenAI API

Creates an image given a prompt, and returns a URL to the image. See the documentation

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

Overview of Azure OpenAI

The Azure OpenAI Service API provides access to powerful AI models that can understand and generate human-like text. With Pipedream, you can harness this capability to create a variety of serverless workflows, automating tasks like content creation, code generation, and language translation. By integrating the API with other apps on Pipedream, you can streamline processes, analyze sentiment, and even automate customer support.

Connect Azure OpenAI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    azure_openai_service: {
      type: "app",
      app: "azure_openai_service",
    }
  },
  async run({steps, $}) {
    const data = {
      "messages": [{ role: 'user', content: "Hello, world!" }],
    }
    return await axios($, {
      method: "post",
      url: `https://${this.azure_openai_service.$auth.resource_name}.openai.azure.com/openai/deployments/${this.azure_openai_service.$auth.deployment_name}/chat/completions?api-version=2023-05-15`,
      headers: {
        "Content-Type": `application/json`,
        "api-key": `${this.azure_openai_service.$auth.api_key}`,
      },
      data,
    })
  },
})

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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LinkedIn logo
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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