How To Use ChatGPT API

Verdicts AI

Introduction to ChatGPT API

OpenAI has made the impressive capabilities of ChatGPT accessible to everyone through the release of its API. This allows developers to integrate the power of ChatGPT into their applications seamlessly.

Acquiring OpenAI API Keys

To begin using the ChatGPT API, you first need to secure the OpenAI API keys. This process involves signing up or logging into the official OpenAI platform. After logging in, navigate to the Personal tab located in the top-right section of the page. From the dropdown menu, select the View API Keys option. This will take you to the API keys page. Click on the Create new secret key button to generate your API key. Remember to store this key in a safe place as you won’t be able to view it again.

Utilizing the ChatGPT API

The OpenAI API employs the gpt-3.5-turbo and gpt-4 models, which are the same models used by ChatGPT and ChatGPT+ respectively. These models are adept at understanding and generating natural language text. The term “ChatGPT API” generally refers to OpenAI APIs that use GPT-based models for developing chatbots, including the gpt-3.5-turbo and gpt-4 models.

While the ChatGPT API is primarily optimized for chat, it also performs well for text completion tasks. The gpt-3.5-turbo and gpt-4 models are more powerful and cost-effective than the previous GPT-3 models. However, as of the time of writing, fine-tuning is only available for the GPT-3 base models (davinci, curie, ada, and cabbage), not the GPT-3.5 models. The GPT-4 API is currently on a waitlist, but the GPT-3.5 models are accessible to everyone.

Configuring the ChatGPT API for Chat Completion

To prepare the chat model for the API call, you need to configure it appropriately. This involves setting the model, temperature, max_tokens, and messages parameters. The messages parameter accepts an array of message objects, each containing a role and content. There are three types of roles you can assign to the message objects: system, user, and assistant.

  • The system role sets up the context and behavior of the assistant.
  • The user role is used to give instructions to the assistant. It is typically generated by the end user, but developers can also provide potential user prompts beforehand.
  • The assistant role provides the assistant with some information in advance to help generate the expected response from the API.

You can further customize the temperature and max_tokens parameters of the model to get the output according to your requirements. The temperature value ranges between 0 and 2, with higher values resulting in more random outputs and lower values producing more deterministic outputs. The max_tokens parameter limits the length of responses, but setting a lower max_tokens value may cut off the output mid-way.

Using the ChatGPT API for Text Completion

In addition to chat completion tasks, the gpt-3.5-turbo model also performs well with text completion. It outperforms the previous text-davinci-003 model and is priced at only one-tenth of its cost. You can configure the ChatGPT API for text completion in a similar way to chat completion, providing the context in advance and the model will adapt to your requirements accordingly.

Response Format of the ChatGPT API

The ChatGPT API sends the response in a specific format. The assistant’s reply is stored in the content, which you need to extract for further use.

Building Applications Using the ChatGPT API

You can start building ChatGPT API-powered applications using either the API endpoint or the official openai Python/Node.js library. Apart from the official openai library, you can also develop applications using the community-maintained libraries recommended by OpenAI. However, OpenAI does not verify the security of these community-maintained libraries, so it’s recommended to either directly use the API endpoint or use the official openai Python/Node.js library.


The ChatGPT API has opened gates for developers around the world to build innovative products leveraging the power of AI. You can use this tool to develop applications like story writers, code translators, email writers, marketing copy generators, text summarizers, and so on. The possibilities are only limited by your imagination.

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