> ## Documentation Index
> Fetch the complete documentation index at: https://doc.rapida.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# OpenAI

> OpenAI is a leading AI research and deployment company, known for its advanced language models like GPT-3 and GPT-4.

## Getting Started

To integrate OpenAI with your Rapida application, follow these steps:

# Supported Models

OpenAI offers a variety of models that can be used with this integration. Here's a table of the supported models:

| Model Name             | Series   | Description                                                |
| ---------------------- | -------- | ---------------------------------------------------------- |
| gpt-4                  | GPT-4    | Latest GPT-4 model with improved performance               |
| gpt-4-0613             | GPT-4    | June 2023 version of GPT-4                                 |
| gpt-4o                 | GPT-4    | Optimized version of GPT-4                                 |
| gpt-4-turbo-preview    | GPT-4    | Preview of the turbo version of GPT-4                      |
| gpt-4-turbo            | GPT-4    | Turbo version of GPT-4 for faster processing               |
| gpt-4.1-mini           | GPT-4    | Smaller, faster version of GPT-4.1                         |
| gpt-4.1-nano           | GPT-4    | Nano-sized version of GPT-4.1 for lightweight applications |
| gpt-3.5-turbo          | GPT-3.5  | Optimized version of GPT-3.5 for chat-based applications   |
| gpt-3.5-turbo-16k      | GPT-3.5  | GPT-3.5 turbo with expanded 16k token context              |
| gpt-3.5-turbo-16k-0613 | GPT-3.5  | June 2023 version of GPT-3.5 turbo with 16k token context  |
| o3-mini                | O Series | Mini version of the O3 model                               |
| o3                     | O Series | Standard O3 model                                          |
| o3-pro                 | O Series | Professional version of the O3 model                       |
| o4-mini                | O Series | Mini version of the O4 model                               |
| gpt-4o-mini            | O Series | Mini version of GPT-4 optimized                            |
| o1                     | O Series | Standard O1 model                                          |
| o1-pro                 | O Series | Professional version of the O1 model                       |

These models offer various capabilities and performance levels. Choose the appropriate model based on your specific use case and requirements.

In addition to the language models, OpenAI also provides embedding models. Here's a table of the supported embedding models:

| Model Name             | Description                               |
| ---------------------- | ----------------------------------------- |
| text-embedding-3-large | Large version of the text embedding model |
| text-embedding-3-small | Small version of the text embedding model |
| text-embedding-ada-002 | Ada-based text embedding model            |

These embedding models are designed to convert text into numerical vectors, which can be used for various natural language processing tasks such as semantic search, clustering, and similarity comparisons.

## Prerequisites

* Go to the OpenAI platform at [https://platform.openai.com](https://platform.openai.com).
* Sign up or log in to your OpenAI account.
* Navigate to the API section.
* Click on "Create new secret key" to generate your API key.
* Copy the API key (make sure to save it securely, as it won't be shown again).

# Setting Up Provider Credentials

<Steps>
  <Step title="Access the Integrations Page">
    <img src="https://mintcdn.com/rapidaai/iFtJHOhZE0HHFT_Q/images/integration/providers/providers-and-models.png?fit=max&auto=format&n=iFtJHOhZE0HHFT_Q&q=85&s=1aa112ebaf44541a92bcac925df62cf8" alt="Integrations Page" width="3600" height="2024" data-path="images/integration/providers/providers-and-models.png" />

    Navigate to the "Integration > Models" page. Here you'll see a grid of various AI model providers including AWS Bedrock, Azure OpenAI, Anthropic, Cohere, OpenAI, and more.
  </Step>

  <Step title="Select a Provider">
    On the Integrations page, find the provider you want to set up credentials for. Each provider card shows a brief description and a "Connected" or "Setup Credential" button.

    Click the "Setup Credential" button for your chosen provider.
  </Step>

  <Step title="Create Provider Credential">
    <img src="https://mintcdn.com/rapidaai/aTDna6evYTn1qNX_/images/integration/providers/openai_key.png?fit=max&auto=format&n=aTDna6evYTn1qNX_&q=85&s=321457d0b7476acd16a7dd745c9f0678" alt="Create Provider Credential" width="1226" height="690" data-path="images/integration/providers/openai_key.png" />

    A modal window will appear titled "Create provider credential". Follow these steps:

    1. Select Your Provider from the dropdown (if not already selected)
    2. Enter a Key Name: Assign a unique name to this provider key for easy identification
    3. Enter the Key: Input the actual API key or credential for the provider
    4. Click "Configure" to save the credential
  </Step>

  <Step title="Verify Credential Setup">
    After setting up the credential, you can verify it's been added:

    1. The provider card should now show "Connected"
    2. If you click on the provider, you'll see a "View provider credential" modal
    3. This modal displays the credential name, when it was last updated, and options to delete or close
  </Step>
</Steps>

Your provider credential is now set up and ready to use with the integration system.