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A .NET SDK for accessing OpenAI's API, provided as a community library. This SDK allows you to integrate OpenAI's capabilities into your .NET applications with ease.

Install-Package Betalgo.OpenAI

Install-Package Betalgo.OpenAI.Utilities

• Wiki Page
• Feature Availability Table
• Change Logs

• Betalgo.OpenAI:
• Betalgo.OpenAI.Utilities:

Maintenance of this project is made possible by all the bug reporters, contributors, and sponsors.

💖 Sponsors:
@betalgo, Laser Cat Eyes
@tylerje, @oferavnery, @MayDay-wpf, @AnukarOP, @Removable, @Scar11

The repository contains a sample project named OpenAI.Playground to help you understand how the library works. However, please exercise caution while experimenting, as some test methods may result in unintended consequences such as file deletion or fine-tuning.

!! It is highly recommended that you use a separate account instead of your primary account while using the playground. Some test methods may add or delete your files and models, potentially causing unwanted issues. !!

Your API Key can be obtained from here: https://platform.openai.com/account/api-keys
Your Organization ID can be found here: https://platform.openai.com/account/org-settings

var openAiService = new OpenAIService(new OpenAiOptions()
{
    ApiKey = Environment.GetEnvironmentVariable("MY_OPEN_AI_API_KEY")
});

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

(To use user secrets: Right-click your project name in "Solution Explorer", then click "Manage User Secrets". This is a good way to keep your API keys secure.)

serviceCollection.AddOpenAIService();

OR

serviceCollection.AddOpenAIService(settings => { settings.ApiKey = Environment.GetEnvironmentVariable("MY_OPEN_AI_API_KEY"); });

After injecting your service, you can retrieve it from the service provider:

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

You can set a default model (optional):

openAiService.SetDefaultModelId(Models.Gpt_4o);

var completionResult = await openAiService.ChatCompletion.CreateCompletion(new ChatCompletionCreateRequest
{
    Messages = new List<ChatMessage>
    {
        ChatMessage.FromSystem("You are a helpful assistant."),
        ChatMessage.FromUser("Who won the world series in 2020?"),
        ChatMessage.FromAssistant("The Los Angeles Dodgers won the World Series in 2020."),
        ChatMessage.FromUser("Where was it played?")
    },
    Model = Models.Gpt_4o,
});
if (completionResult.Successful)
{
    Console.WriteLine(completionResult.Choices.First().Message.Content);
}

Due to time constraints, not all methods have been thoroughly tested or fully documented. If you encounter any issues, please report them or submit a pull request. Your contributions are always appreciated.

Needless to say, I cannot accept responsibility for any damage caused by using the library.

• Introduced IsDelta into BaseResponseModel, which can help to determine if incoming data is part of the delta.

• Assistant Stream now returns the BaseResponse type, but they can be cast to the appropriate types(RunStepResponse,RunResponse,MessageResponse). The reason for this change is that we realized the stream API returns multiple different object types rather than returning a single object type.
• The Base Response now has a StreamEvent field, which can be used to determine the type of event while streaming.

For any issues, contributions, or feedback, feel free to reach out or submit a pull request.

Betalgo X: Betalgo (@Betalgo) / X (twitter.com)
Betalgo Linkedin: Betalgo | LinkedIn
Tolga X: Tolga Kayhan (@kayhantolga) / X (twitter.com)
Tolga Linkedin: Tolga Kayhan | LinkedIn