API Error Codes

This guide includes an overview on error codes you might see from both the API and our official Python library. Each error code mentioned in the overview has a dedicated section with further guidance.

API errors

401 – Invalid Authentication

Cause: Invalid Authentication
Solution: Ensure the correct API key and requesting organization are being used.

401 – Incorrect API key provided

Cause: The requesting API key is not correct.
Solution: Ensure the API key used is correct, clear your browser cache, or generate a new one.

401 – You must be a member of an organization to use the API

Cause: Your account is not part of an organization.
Solution: Contact us to get added to a new organization or ask your organization manager to invite you to an organization.

429 – Rate limit reached for requests

Cause: You are sending requests too quickly.
Solution: Pace your requests. Read the Rate limit guide.

429 – You exceeded your current quota, please check your plan and billing details

Cause: You have hit your maximum monthly spend (hard limit) which you can view in the account billing section.
Solution: Apply for a quota increase.

429 – The engine is currently overloaded, please try again later

Cause: Our servers are experiencing high traffic.
Solution: Please retry your requests after a brief wait.

500 – The server had an error while processing your request

Cause: Issue on our servers.
Solution: Retry your request after a brief wait and contact us if the issue persists. Check the status page.

OpenAI Python API – Complete Guide

OpenAI is the leading company in the field of AI. With the public release of software like ChatGPT, DALL-E, GPT-3, and Whisper, the company has taken the entire AI industry by storm. Everyone has incorporated ChatGPT to do their work more efficiently and those who failed to do so have lost their jobs. The age of AI has started and people not adapting to AI could introduce some difficulties for them. 

In this article, we will be discussing how you can leverage the power of AI and make your day-to-day tasks a lot easier by using the OpenAI APIs (Application Programming Interface) that allow developers to easily access their AI models and Integrate them into their own applications using Python.

Table of Content

  • What is OpenAI?
  • What is OpenAI API?
  • Generate OpenAI API key
  • Installation of OpenAI package
  • Prompt Engineering
  • Text
  • Chat
  • Image
  • Audio
  • Embeddings
  • Fine-Tuning
  • API Error Codes
  • Conclusion
  • FAQs on OpenAI Python API

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What is OpenAI?

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What is OpenAI API?

OpenAI is a Leading Company in the field of Artificial Intelligence(AI). It was originally founded in 2015 by Sam Altman and Elon Musk as a Non-profit Organization. They primarily focus on AI-based Software products Such as ChatGPT 3, ChatGPT 4 and DALL-E etc. They develop next-generation AI products holding incredible capabilities, for example, OpenAIs GPT-3 which is a Content filtering model that allows you to implement advanced text classification, outline, question-answering, and other chatbot applications....

Generate OpenAI API key

OpenAI API is a powerful cloud-based platform, hosted on Microsoft’s Azure, designed to provide developers with seamless access to state-of-the-art, pre-trained artificial intelligence models. This API empowers developers to effortlessly integrate cutting-edge AI capabilities into their applications, regardless of the programming language they choose to work with. By leveraging the OpenAI Python API, developers can unlock advanced AI functionalities and enhance the intelligence and performance of their software solutions....

Installation of OpenAI package

For you to use OpenAI’s models in your Python environment, you must first generate an API key. You can follow the below steps to generate the API key:...

Prompt Engineering

Step 1: Now open a text editor of your choosing or an online notebook like Google Colab or Jupyter Notebook. Here, we’re using a Google Colab notebook to run the command indicated below in order to install the Open AI library in Python....

Text

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Chat

Giving the AI brain a unique set of instructions to increase its intelligence and responsiveness is what AI prompt engineering entails. To comprehend what we want from AI models like ChatGPT or GPT-4, they need to be gently nudged in the right direction. Prompt engineering can help with it. The finest answers from the AI may be ensured by carefully structuring the prompts. Now, prompt engineering doesn’t only happen once. The process of adjusting and experimenting is continuing. When we ask the AI a question, we experiment with varied wording and the addition of unique rules. We seem to be concocting a miraculous concoction of instructions! Let’s take a look at some rules to construct good prompts to generate accurate results for AI....

Image

For performing any text-specific tasks you can define the following function and execute it with your desired prompts....

Audio

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Embeddings

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Fine-Tuning

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API Error Codes

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Conclusion

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OpenAI Python API – FAQs

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