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OpenAI GPT-3 integration (Beta) platform can be integrated with OpenAI GPT-3. We currently support DaVinci, Curie, Babbage, and custom language models.


The GPT-3 integration is currently in beta, so there may be issues or limitations while it's being tested and refined..

What is OpenAI GPT-3?

OpenAI GPT-3 is an advanced artificial intelligence language model developed by OpenAI, with a capacity of 175 billion parameters. It uses deep learning techniques to generate natural language text and has been pre-trained on a massive amount of data from the internet and other sources. The OpenAI GPT-3 is used for language translation, chatbots, writing assistance, and content generation, and is known for its ability to generate human-like text with remarkable accuracy.

How does a OpenAI GPT-3 chatbot work?

The chatbot can be designed to receive input from users which is then sent to GPT-3 for processing.

OpenAI GPT-3 will use its pre-trained knowledge to generate a response based on the user's input, which is then sent back to the chatbot. The chatbot displays the generated response to the user in a natural and coherent way.

1. Build a chatbot using GPT-3

To build a chatbot using OpenAI GPT-3, you need to connect your open AI account with your platform. To do so, follow these steps:

1.1 Retrieve the OpenAI API key

  1. Log in to your OpenAI website.
  2. Click your profile picture on the top right corner and click View API keys.
  1. Click the +Create new secret key button to generate a new API key.

1.2 Retrieve the organization key(ID)

If you are a part of or have more than one organization, you have to configure an organization key. Follow these steps to retrieve the organization key:

  1. Click on your profile picture on the top right corner and click Manage account.
  1. Click Settings on the left sidebar and copy the Organization ID.

1.3 Enable GPT-3 on

  1. Go to and click on Integrations in the module switcher.

  1. Search for GPT-3 in the search box.

  1. Enter the API key and Organization Key (retrieved in the previous steps) and click Connect.

API usage will depend on your org subscription.

2. Use-cases

The following use case is currently supported in this integration:

2.1 Generate answers using OpenAI GPT-3

Your chatbot users can receive answers to their queries by leveraging the GPT-3 text completion model. We support Da Vinci, Curie, Babbage, Ada, and custom models. By selecting one of these models, your chatbot can provide detailed and precise responses from GPT-3.


If you want your chatbot to provide accurate answers for a specific use case, such as if you run a car shop and want your bot to answer questions about your services and pricing, then you can choose to create a custom model. By training your model on OpenAI and connecting it to your platform, you can tailor your chatbot to your specific needs.

  1. In the Studio flow builder, go to Integrations > GPT-3.

  1. Fill in the fields based on the details provided in the following table.

Node Input Params:

Field NameSample InputData TypeRemarks
Modeltext-davinci-003StringThe model based on which the answers will be genrated.
QuerySuggest a tag line for an ice cream shopString TypeUser query
Max Words (optional)50StringIt is recommended to keep it to 100 words or less.
Prediction Risk(optional)0.5NumberThis feature allows you to control the confidence level at which the model predicts answers.

Sample Response:

"id": "cmpl-6ktdmH8VoyYh1dJRxwa2WIDaW49I6",
"object": "text_completion",
"created": 1676634990,
"model": "text-davinci-003",
"choices": [
"text": "\n\nYou asked, \"What is the best way to learn a new language?\"",
"index": 0,
"logprobs": null,
"finish_reason": "stop"
"usage": {
"prompt_tokens": 4,
"completion_tokens": 17,
"total_tokens": 21