.NET SDK for Google Gemini
GitHub - gsilvamartin/dotnet-gemini-sdk: .NET SDK for seamless and efficient integration with the Google Gemini
DotnetGeminiSDK
 
Welcome to DotnetGeminiSDK, a .NET SDK for interacting with the Google Gemini API. This SDK empowers developers to harness the capabilities of machine learning models to generate creative content effortlessly.
Table of Contents

Installation
Configuration
Usage

Text Prompt
Stream Text Prompt
Multiple Text Prompt
Get Model
Get All Models
Image Prompt
Embedded
Batch Embedded
Exception Handling


Contributing
License

What is Google Gemini?
Google Gemini is an advanced AI platform that offers various interfaces for commands tailored to different use cases. It allows users to interact with machine learning models for generating content and responses to instructions. The platform supports free-form commands, structured commands, and chat-based requests. Additionally, Gemini provides the ability to adjust models for specific tasks, enhancing their performance for particular use cases.
Installation 📦
Get started by installing the DotnetGeminiSDK NuGet package. Run the following command in the NuGet Package Manager Console:
Install-Package DotnetGeminiSDK
Or, if you prefer using the .NET CLI:
dotnet add package DotnetGeminiSDK
Configuration ⚙️
To use the Gemini SDK, configure the GoogleGeminiConfig object. Add the Gemini client to your service collection using GeminiServiceExtensions:
NoteOnly used when using the dependency injection method.

using DotnetGeminiSDK;
using Microsoft.Extensions.DependencyInjection;

public class Startup
{
    public void ConfigureServices(IServiceCollection services)
    {
        services.AddGeminiClient(config =>
        {
            config.ApiKey = "YOUR_GOOGLE_GEMINI_API_KEY";
            config.ImageBaseUrl = "CURRENTLY_IMAGE_BASE_URL";
            config.TextBaseUrl = "CURRENTLY_IMAGE_BASE_URL";
        });
    }
}
How to use? 🔎
Dependency Injection
When you incorporate the Gemini client, you can seamlessly inject it into your code for immediate use.
using DotnetGeminiSDK.Client.Interfaces;
using Microsoft.Extensions.DependencyInjection;

public class YourClass
{
    private readonly IGeminiClient _geminiClient;

    public YourClass(IGeminiClient geminiClient)
    {
        _geminiClient = geminiClient;
    }

    public async Task Example()
    {
        var response = await _geminiClient.TextPrompt("Text for processing");
        // Process the response as needed
    }
}
Class Instantiation
If you don't want to use dependency injection, you can instantiate the GeminiClient class, as a constructor parameter, place your settings in the GoogleGeminiConfig instance.
using DotnetGeminiSDK.Client.Interfaces;

public class YourClass
{
    private readonly GeminiClient _geminiClient;

    public YourClass()
    {
        _geminiClient = new GeminiClient(new GoogleGeminiConfig(){ //Place your settings here });
    }

    public async Task Example()
    {
        var response = await _geminiClient.TextPrompt("Text for processing");
        // Process the response as needed
    }
}
Implemented features 👾

 Text Prompt
 Stream Text Prompt
 Multiple Text Prompt
 Image Prompt
 Counting Tokens
 Get Model
 List Models
 Embedding
 Batch Embedding

Usage 🚀
Text Prompt 📝
Prompt the Gemini API with a text message using the TextPrompt method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var response = await geminiClient.TextPrompt("Write a story about a magic backpack");
Stream Text Prompt 🔁
Prompt the Gemini API with a text message using the StreamTextPrompt method:
NoteThis diffears from the text prompt, it receives the response as string and in chunks.

var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var response = await geminiClient.StreamTextPrompt("Write a story about a magic backpack", (chunk) => {
  Console.WriteLine("Process your chunk of response here");
});
Multiple Text Prompt 📚
Prompt the Gemini API with multiple text messages using the TextPrompt method with a list of Content objects:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();

var messages = new List<Content>
{
    new Content
    {
        Parts = new List<Part>
        {
            new Part
            {
                Text = "Write a story about a magic backpack"
            }
        }
    },
    // Add more Content objects as needed
};

var response = await geminiClient.TextPrompt(messages);
Get Model 📒
Get the specific model details of Gemini using GetModel method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var response = await geminiClient.GetModel("gemini-model-v1");
List all models 🔖
Get all Gemini models using GetModels method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var response = await geminiClient.GetModels();
Count Tokens 1️⃣
Prompt the Gemini API with a text message using the CountTokens method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var response = await geminiClient.CountTokens("Write a story about a magic backpack");
NoteYou can use list of messages and list of content to call this method too.

Image Prompt 🖼️
Using file
Prompt the Gemini API with an image and a text message using the ImagePrompt method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var image = File.ReadAllBytes("path/to/your/image.jpg");
var response = await geminiClient.ImagePrompt("Describe this image", image, ImageMimeType.Jpeg);
Using Base64 String
Prompt the Gemini API with an base64 string and a text message using the ImagePrompt method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var base64Image = "image-as-base64";
var response = await geminiClient.ImagePrompt("Describe this image in details", base64Image, ImageMimeType.Jpeg);
Embedded 🪡
Prompt the Gemini API with a text message and using embedded technique using the EmbeddedContentsPrompt method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var response = await geminiClient.EmbeddedContentsPrompt("Write a story about a magic backpack");
NoteYou can use list of messages and list of content to call this method too.

Batch Embedded 🪡
Prompt the Gemini API with a text message and using batch embedded technique using the BatchEmbeddedContentsPrompt method:
var geminiClient = serviceProvider.GetRequiredService<IGeminiClient>();
var response = await geminiClient.EmbeddedContentsPrompt("Write a story about a magic backpack");
NoteYou can use list of messages and list of content to call this method too.

Contributing 🤝
Contributions are welcome! Feel free to open issues or pull requests to enhance the SDK.
License 📜
This project is licensed under the MIT License.
