Unofficial .NET SDK for OpenAI with a Blazor Server Playground.
Install-Package Cledev.OpenAI
- Models
- List Models
- Retrieve Model
- Completions
- Create Completion
- ChatGPT
- Create Chat Completion
- ChatGPT-4
- (coming soon)
- Edits
- Create Edit
- Images
- Create Image
- Create Image Edit
- Create Image Variation
- Embeddings
- Create Embeddings
- Audio
- Create Transcription
- Create Translation
- Files
- List Files
- Upload File
- Delete File
- Retrieve File
- Fine-tunes
- Create Fine-tune
- List Fine-tunes
- Retrieve Fine-tune
- Cancel Fine-tune
- List Fine-tune Events
- Delete Fine-tune Model
- Moderations
- Create Moderation
- Azure OpenAI Support
- (coming soon)
services.AddOpenAIClient();This option requires an appsettings.json file
{
"OpenAI": {
"ApiKey": "YOUR_API_KEY",
"Organization": "OUR_ORGANIZATION"
}
}services.AddOpenAIClient(options =>
{
options.ApiKey = Environment.GetEnvironmentVariable("YOUR_API_KEY");
options.Organization = Environment.GetEnvironmentVariable("YOUR_ORGANIZATION");
});Important: use environment variables to load the OpenAI API key, do not hardcode it in the source code.
Inject IOpenAIClient interface into your service
var request = new CreateChatCompletionRequest
{
Model = ChatModel.Gpt35Turbo.ToStringModel(),
Stream = true,
MaxTokens = 500,
Messages = new List<ChatCompletionMessage>
{
new("system", "You are a helpful assistant."),
new("user", "Who won the world series in 2020?"),
new("assistant", "The Los Angeles Dodgers won the World Series in 2020."),
new("user", "Where was it played?")
}
};
var completions = client.CreateChatCompletionAsStream(request);
await foreach (var completion in completions)
{
Console.Write(completion.Choices[0].Message?.Content);
}var request = new CreateCompletionRequest
{
Model = CompletionsModel.TextDavinciV3.ToStringModel(),
Stream = true,
Prompt = "Please write a 1000 word assay about differences between functional programming and object oriented programming",
MaxTokens = 500
};
var completions = client.CreateCompletionAsStream(request);
await foreach (var completion in completions)
{
Console.Write(completion.Choices[0].Text);
}const string fileName = "YOUR_RECORDING.m4a";
var fileBytes = await File.ReadAllBytesAsync($"Data/{fileName}");
var request = new CreateAudioTranslationRequest
{
Model = AudioModel.Whisper1.ToStringModel(),
File = fileBytes,
FileName = fileName,
ResponseFormat = AudioResponseFormat.VerboseJson.ToStringFormat()
};
var response = await client.CreateAudioTranslation(request);
Console.Write($"{JsonSerializer.Serialize(response, jsonSerializerOptions)}");var request = new CreateImageRequest
{
Prompt = "Once upon a time",
Size = ImageSize.Size512x512.ToStringSize(),
ResponseFormat = ImageResponseFormat.B64Json.ToStringFormat(),
N = 1
};
var response = await client.CreateImage(Request);
<img src="@response.Data[0].Url" />Please, have a look at the Blazor Server Playground for more examples on how to use the client.
