Dotnet SDK for OpenAI GTP-3 (Unofficial)

Install-Package Betalgo.OpenAI.GPT3

I was building an SDK for myself then I decide to share it, I hope it will be useful for you. I haven’t maintained any open source projects before. Any help would be much appreciated. I am open to suggestions If you would like to contribute somehow.

I will be using the latest libraries all the time (including dotnet 6). Also, next releasing will include breaking changes frequently (as I mentioned before I was building the SDK for myself. Unfortunately I do not have time to plan these changes and support lower version apps). So please be aware of that before starting to use the library.

As you can guess I do not accept any damage caused by use of the library. You are always free to use other libraries or OpenAI Web-API.

Sample Usages

The repository includes one sample project already “OpenAI.Playground” You can check playground project to see how I was testing it while I was developing the library. Be carefull while playing with it. Some test methods will delete your files or fine tunings. I would suggest to use different account than your main account while you use playground.

Using dependcy injection:

secrets.json:

*(How to use user secret? => right click your project name in “solution explorer” then click “Manage User Secret”, it is a good way to keep your api keys) *

 "OpenAIServiceOptions": {
    //"ApiKey":"Your api key goes here"
    //,"Organization": "Your Organization Id goes here (optional)"
  },

Program.cs

serviceCollection.AddOpenAIService();

or use it like below but do NOT put your API key directly to your source code, you may expose your API key, which will cost you $$.

Program.cs

serviceCollection.AddOpenAIService(settings => { settings.ApiKey = "TEST"; });

After injecting your service you will be able to get it from service provider

var openAiService = serviceProvider.GetRequiredService<IOpenAIService>();

Without dependcy injection:

var openAiService = new OpenAIService(new OpenAiOptions()
{
    ApiKey = "MY_API_KEY"
});

You can set default engine(optional):

openAiService.SetDefaultEngineId(Engines.Davinci);

Completions Sample

var completionResult = await openAiService.Completions.Create(new CompletionCreateRequest()
{
  Prompt = "Once upon a time",
  MaxTokens = 5
}, Engines.Engine.Davinci);

if (completionResult.Successful)
{
    Console.WriteLine(completionResult.Choices.FirstOrDefault());
} 
else
{
  if (completionResult.Error == null)
  {
    throw new Exception("Unknown Error");
  }
  Console.WriteLine($"{completionResult.Error.Code}: {completionResult.Error.Message}");
 }

Notes: I couldn’t find enough time to test all the methods or improve the documentation. My main target was to make fine-tuning available. If you hit any issue please report it or pull request always appreciated.