A simple C# .NET wrapper library to use with OpenAI's GPT-3 API. More context on my blog.

var api = new OpenAI_API.OpenAIAPI(engine: Engine.Davinci);

var result = await api.Completions.CreateCompletionAsync("One Two Three One Two", temperature: 0.1);
Console.WriteLine(result.ToString());
// should print something starting with "Three"

var api = new OpenAI_API.OpenAIAPI("sk-myapikeyhere"););

var result = await api.Search.GetBestMatchAsync("Washington DC", "Canada", "China", "USA", "Spain");
Console.WriteLine(result);
// should print "USA"

This library is based on .NET Standard 2.0, so it should work across .NET Framework >=4.7.2 and .NET Core >= 3.0. It should work across console apps, winforms, wpf, asp.net, etc (although I have not yet tested with asp.net). It should work across Windows, Linux, and Mac, although I have only tested on Windows so far.

Install package OpenAI from Nuget. Here's how via commandline:

Install-Package OpenAI

There are 3 ways to provide your API keys, in order of precedence:

1. Pass keys directly to APIAuthentication(string key) constructor
2. Set environment var for OPENAI_KEY
3. Include a config file in the local directory or in your user directory named .openai and containing the line:

OPENAI_KEY=sk-aaaabbbbbccccddddd

You use the APIAuthentication when you initialize the API as shown:

// for example
OpenAIAPI api = new OpenAIAPI("sk-mykeyhere"); // shorthand
// or
OpenAIAPI api = new OpenAIAPI(new APIAuthentication("sk-secretkey")); // create object manually
// or
OpenAIAPI api = new OpenAIAPI(APIAuthentication LoadFromEnv()); // use env vars
// or
OpenAIAPI api = new OpenAIAPI(APIAuthentication LoadFromPath()); // use config file (can optionally specify where to look)
// or
OpenAIAPI api = new OpenAIAPI(); // uses default, env, or config file

The Completion API is accessed via OpenAIAPI.Completions:

CreateCompletionAsync(CompletionRequest request)

// for example
var result = await api.Completions.CreateCompletionAsync(new CompletionRequest("One Two Three One Two", temperature: 0.1));
// or
var result = await api.Completions.CreateCompletionAsync("One Two Three One Two", temperature: 0.1);
// or other convenience overloads

You can create your CompletionRequest ahead of time or use one of the helper overloads for convenience. It returns a CompletionResult which is mostly metadata, so use its .ToString() method to get the text if all you want is the completion.

The Edit API is accessed via OpenAIAPI.Edit:

EditResponse GenerateEditAsync(CompletionRequest request)

// for example
var result = await api.Edit.GenerateEditAsync(new EditRequest(){instruction ="some instruction",input="input code or text"});

The EditReqquest has thses parameters

        public string model { get; set; }
        public string instruction { get; set; }
        public string input { get; set; }
        public int n { get; set; }
        public float temperature { get; set; }
        public float top_p { get; set; }

and it returns

    public class EditResponse
    {
        [DataMember]
        public string object1 { get; set; }
        public int created { get; set; }
        public List<Choice> choices { get; set; }
    }

Streaming allows you to get results are they are generated, which can help your application feel more responsive, especially on slow models like Davinci.

Using the new C# 8.0 async iterators:

IAsyncEnumerable<CompletionResult> StreamCompletionEnumerableAsync(CompletionRequest request)

// for example
await foreach (var token in api.Completions.StreamCompletionEnumerableAsync(new CompletionRequest("My name is Roger and I am a principal software engineer at Salesforce.  This is my resume:", 200, 0.5, presencePenalty: 0.1, frequencyPenalty: 0.1)))
{
	Console.Write(token);
}

Or if using .NET framework or C# <8.0:

StreamCompletionAsync(CompletionRequest request, Action<CompletionResult> resultHandler)

// for example
await api.Completions.StreamCompletionAsync(
	new CompletionRequest("My name is Roger and I am a principal software engineer at Salesforce.  This is my resume:", 200, 0.5, presencePenalty: 0.1, frequencyPenalty: 0.1),
	res => ResumeTextbox.Text += res.ToString());

The Search API is accessed via OpenAIAPI.Search:

You can get all results as a dictionary using

GetSearchResultsAsync(SearchRequest request)

// for example
var request = new SearchRequest()
{
	Query = "Washington DC",
	Documents = new List<string> { "Canada", "China", "USA", "Spain" }
};
var result = await api.Search.GetSearchResultsAsync(request);
// result["USA"] == 294.22
// result["Spain"] == 73.81

The returned dictionary maps documents to scores. You can create your SearchRequest ahead of time or use one of the helper overloads for convenience, such as

GetSearchResultsAsync(string query, params string[] documents)

// for example
var result = await api.Search.GetSearchResultsAsync("Washington DC", "Canada", "China", "USA", "Spain");

You can get only the best match using

GetBestMatchAsync(request)

And if you only want the best match but still want to know the score, use

GetBestMatchWithScoreAsync(request)

Each of those methods has similar convenience overloads to specify the request inline.

I don't yet have access to finetuning, but once I do I will add it to this SDK. Subscribe to this repo if you want to be alerted.

Every single class, method, and property has extensive XML documentation, so it should show up automatically in IntelliSense. That combined with the official OpenAI documentation should be enough to get started. Feel free to ping me on Twitter @OkGoDoIt if you have any questions. Better documentation may come later.

This library is licensed CC-0, in the public domain. You can use it for whatever you want, publicly or privately, without worrying about permission or licensing or whatever. It's just a wrapper around the OpenAI API, so you still need to get access to OpenAI from them directly. I am not affiliated with OpenAI and this library is not endorsed by them, I just have beta access and wanted to make a C# library to access it more easily. Hopefully others find this useful as well. Feel free to open a PR if there's anything you want to contribute.