havendv/tryAGI.OpenAIv3.0.0
✓ Verified.NET FW4.6.2.NET 8.0.NET 9.0.NET Std2.0
Generated C# SDK based on official OpenAI OpenAPI specification. Includes C# Source Generator which allows you to define functions natively through a C# interface, and also provides extensions that make it easier to call this interface later
Get Started
$ dotnet add package tryAGI.OpenAIReadme
OpenAI
Features 🔥
- Fully generated C# SDK based on official OpenAI OpenAPI specification using OpenApiGenerator
- Same day update to support new features
- Updated and supported automatically if there are no breaking changes
- Contains a supported list of constants such as current prices, models, and other
- Source generator to define functions natively through C# interfaces
Usage
using OpenAI;
public enum Unit
{
Celsius,
Fahrenheit,
}
public class Weather
{
public string Location { get; set; } = string.Empty;
public double Temperature { get; set; }
public Unit Unit { get; set; }
public string Description { get; set; } = string.Empty;
}
[OpenAiFunctions]
public interface IWeatherFunctions
{
[Description("Get the current weather in a given location")]
public Task<Weather> GetCurrentWeatherAsync(
[Description("The city and state, e.g. San Francisco, CA")] string location,
Unit unit = Unit.Celsius,
CancellationToken cancellationToken = default);
}
public class WeatherService : IWeatherFunctions
{
public Task<Weather> GetCurrentWeatherAsync(string location, Unit unit = Unit.Celsius, CancellationToken cancellationToken = default)
{
return Task.FromResult(new Weather
{
Location = location,
Temperature = 22.0,
Unit = unit,
Description = "Sunny",
});
}
}
using var api = new OpenAiApi();
api.AuthorizeUsingBearer(apiKey);
var service = new WeatherService();
var tools = service.AsTools();
var messages = new List<ChatCompletionRequestMessage>
{
"You are a helpful weather assistant.".AsSystemMessage(),
"What is the current temperature in Dubai, UAE in Celsius?".AsUserMessage(),
};
var model = ChatModels.Gpt35Turbo.Id;
var result = await api.Chat.CreateChatCompletionAsync(
messages,
model: model,
tools: tools);
var resultMessage = result.Choices.First().Message;
messages.Add(resultMessage.AsRequestMessage());
foreach (var call in resultMessage.ToolCalls)
{
var json = await service.CallAsync(
functionName: call.Function.Name,
argumentsAsJson: call.Function.Arguments);
messages.Add(json.AsToolMessage(call.Id));
}
var result = await api.Chat.CreateChatCompletionAsync(
messages,
model: model,
tools: tools);
var resultMessage = result.Choices.First().Message;
messages.Add(resultMessage.AsRequestMessage());