OpenAI (ChatGPT)

OpenAI is an AI research and deployment company with the mission to ensure that artificial general intelligence benefits all of humanity. They are the makers of popular models like ChatGPT, DALL-E, and Whisper.

Integrate the OpenAI (ChatGPT) API with the Google Dialogflow API

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

Create Context with Google Dialogflow API on New File Created from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Fine Tuning Job Created from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Google Dialogflow
 
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Create Context with Google Dialogflow API on New Run State Changed from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New File Created from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Google Dialogflow
 
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Create Entities with Google Dialogflow API on New Fine Tuning Job Created from OpenAI (ChatGPT) API
OpenAI (ChatGPT) + Google Dialogflow
 
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New File Created from the OpenAI (ChatGPT) API

Emit new event when a new file is created in OpenAI. See the documentation

 
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New Fine Tuning Job Created from the OpenAI (ChatGPT) API

Emit new event when a new fine-tuning job is created in OpenAI. See the documentation

 
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New Run State Changed from the OpenAI (ChatGPT) API

Emit new event every time a run changes its status. See the documentation

 
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Chat with the OpenAI (ChatGPT) API

The Chat API, using the gpt-3.5-turbo or gpt-4 model. 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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Summarize Text with the OpenAI (ChatGPT) API

Summarizes text using the Chat 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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Classify Items into Categories with the OpenAI (ChatGPT) API

Classify items into specific categories using the Chat API

 
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Overview of OpenAI (ChatGPT)

OpenAI provides a suite of powerful AI models through its API, enabling developers to integrate advanced natural language processing and generative capabilities into their applications. Here’s an overview of the services offered by OpenAI's API:

Use Python or Node.js code to make fully authenticated API requests with your OpenAI account:

Connect OpenAI (ChatGPT)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    openai: {
      type: "app",
      app: "openai",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.openai.com/v1/models`,
      headers: {
        Authorization: `Bearer ${this.openai.$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.`)
    }
  },
})