services.AddOpenAIClient();

services.AddOpenAIClient(options =>
{
     options.ApiKey = Environment.GetEnvironmentVariable("YOUR_API_KEY");
     options.Organization = Environment.GetEnvironmentVariable("YOUR_ORGANIZATION");
 });

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" />