Open Source FastAPI endpoint to ping OpenAI's servers to see the status of different models. This API checks the following endpoints:

gpt-4
gpt-3.5-turbo
text-davinci-003

It is easy enough to add in additional models, you will need to edit the ping_models.py file inside the app/services folder. Right now this implementation is very basic; you can host this API and call it on regular intervals (5 minutes) to check the status of the APIs. This will allow you to show your users a banner or notification that the APIs are down and to expect a delay in service.

These instructions will help you set up the project and run it on your local machine for development and testing purposes.

Make sure you have the following software installed on your system:

• Python 3.8 or higher
• Pip (Python Package Installer)

1. Clone this repository:

git clone https://github.com/aaronleggett96/openai-api-status-checker.git
cd openai-api-status-checker

2. Create a virtual environment and activate it:

python -m venv venv
source venv/bin/activate  # For Linux and macOS
# or
venv\Scripts\activate  # For Windows

3. Install the required packages:

pip install -r requirements.txt

4. Set up an environment variable for the OpenAI API key:

export OPENAI_API_KEY=your_openai_api_key  # For Linux and macOS
# or
set OPENAI_API_KEY=your_openai_api_key  # For Windows

Replace your_openai_api_key with your actual OpenAI API key.

5. Running the Application

Start the development server:

uvicorn app.main:app --reload

The application should now be running on http://localhost:8000/.

To check the availability of OpenAI's APIs, send a GET request to the /status endpoint with the desired model names as a comma-separated list in the models query parameter. You can search for one at a time, or multiple.

http://localhost:8000/status?models=gpt-4,gpt-3.5-turbo,text-davinci-003

The response will be a JSON object containing the availability status of the requested models:

{
  "gpt-4": {
    "is_available": "true"
  },
  "gpt-3.5-turbo": {
    "is_available": "true"
  },
  "text-davinci-003": {
    "is_available": "true"
  }
}

Additionally, FastAPI comes with SwaggerUI out-of-the-box. You can access this via the /docs endpoint:

http://localhost:8000/docs

This project is licensed under the MIT License - see the LICENSE file for details.