Google_GenerativeAI 0.1.0

Google GenerativeAI (Gemini)

• Google GenerativeAI (Gemini)
  • Usage
  • Quick Start
  • Function Calling

Unofficial C# SDK based on Google GenerativeAI (Gemini Pro) REST APIs.

This package 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.
In addition to easy function implementation and readability, it generates Args classes, extension methods to easily pass a functions to API, and extension methods to simply call a function via json and return json.
Currently only System.Text.Json is supported.

Usage

Quick Start

1. Obtain an API key to use with the Google AI SDKs.

 var apiKey = 'Your API Key';

 var model = new GenerativeModel(apiKey);

 var res = await model.GenerateContentAsync("How are you doing?");

Function Calling

using GenerativeAI;

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;
}

[GenerativeAIFunctions]
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",
        });
    }
}

 WeatherService service = new WeatherService();
 
 var apiKey = Environment.GetEnvironmentVariable("Gemini_API_Key", EnvironmentVariableTarget.User);

 var model = new GenerativeModel(apiKey, functions:service.AsFunctions(),calls:service.AsCalls());

 var result = await model.GenerateContentAsync("What is the weather in San Francisco today?");
 
 Console.WriteLine(result);