Betalgo.OpenAI.GPT3 6.6.3

Dotnet SDK for OpenAI GPT-3 and DALL·E

Install-Package Betalgo.OpenAI.GPT3

Dotnet SDK for OpenAI GPT-3 and DALL·E
Unofficial.
GPT-3 doesn't have any official .Net SDK.

Features

• Image (DALL·E)
• Models
• Completions
• Edit
• Mars
• Embeddings
• Files
• Fine-tunes
• Moderation

For changelogs please go to end of the document.

Visit https://openai.com/ to get your API key. Also documentation with more detail is avaliable there.

Sample Usages

!! I would strongly suggest to use different account than your main account while you use playground. Test methods could add or delete your files and models !!

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.

Without using dependcy injection:

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

Using dependcy injection:

secrets.json:

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

(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)

Program.cs

serviceCollection.AddOpenAIService();

OR
Use it like below but do NOT put your API key directly to your source code.

Program.cs

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

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

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

You can set default engine(optional):

openAiService.SetDefaultEngineId(Engines.Davinci);

Completions Sample

var completionResult = await openAiService.Completions.CreateCompletion(new CompletionCreateRequest()
{
    Prompt = "Once upon a time",
    MaxTokens = 5
}, Models.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.

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. 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.

Changelog

6.6.3

• Bug-fix, now we are handling logprops response properly, thanks to @KosmonikOS
• Code clean-up, thanks to @KosmonikOS

6.6.2

• Bug-fix,added jsonignore for stop and stopAsList, thanks to @Patapum

6.6.1

• Breaking change.

  • EmbeddingCreateRequest.Input was a string list type now it is a string type.
    I have introduced InputAsList property instead of Input. You may need to update your code according the change.
    Both Input(string) and InputAsList(string list) avaliable for use

• Added string and string List support for some of the propertis.

  • CompletionCreateRequest --> Prompt & PromptAsList / Stop & StopAsList
  • CreateModerationRequest --> Input & InputAsList
  • EmbeddingCreateRequest --> Input & InputAsList

6.6.0

• Added support for new models (davinciv3 & edit models)
• Added support for Edit endpoint.
• (Warning: edit endpoint works with only some of the models, I couldn't find documentation about it, please follow the thread for more information: https://community.openai.com/t/is-edit-endpoint-documentation-incorrect/23361 )
• Some objects were created as class instead of record at last version. I change them to record. This will be breaking changes for some of you.
• With this version I think we cover all of openai APIs
• In next version I will be focusing on code cleanup and refactoring.
• If I don't need to relase bug-fix for this version also I will be updating library with dotnet 7 in next version as I promised.

6.5.0

• OpenAI made a surprise release yesterday and they have announced DALL·E API. I needed to do other things but I couldn't resist. Because I was rushing, some methods and class names may will change in the next release. Until that day, enjoy your creative AI.
• This library now fully support all DALL·E features.
• I tried to complete Edit API too bu unfortunately something was wrong with the documentation, I need to ask some questions in the community forum.

6.4.1

• Bug-fixes
  • FineTuneCreateRequest suffix json property name changed "Suffix" to "suffix"
  • CompletionCreateRequest user json property name changed "User" to "user" (Thanks to @shaneqld), also now it is a nullable string

6.4.0

• I have good news and bad news
• Moderation feature implementation is done. Now we support Moderation.
• Updated some request and response models to catch up with changes in OpenAI API
• New version has some breaking changes. Because we are in the fall season I needed to do some cleanup. Sorry for breaking changes but most of them are just renaming. I believe they can be solved before your coffee finish.
• I am hoping to support Edit Feature in the next version.

6.3.0

• Thanks to @c-d and @sarilouis for their contributions to this version.
• Now we support Embedding endpoint. Thanks to @sarilouis
• Bug fixes and updates for Models
• Code clean-up

6.2.0

• Removed deprecated Answers, Classifications, and Search endpoints https://community.openai.com/t/answers-classification-search-endpoint-deprecation/18532. They will be still available until December at web-API. If you still need them please do not update to this version.
• Code clean-up

6.1.0

• Organization id is not a required value anymore, Thanks to @samuelnygaard
• Removed deprecated Engine Endpoint and replaced it with Models Endpoint. Now Model response has more fields.
• Regarding OpenAI Engine naming, I had to rename Engine Enum and static fields. They are quite similar but you have to replace them with new ones. Please use Models class instead of Engine class.
• To support fast engine name changing I have created a new Method, Models.ModelNameBuilder() you may consider using it.