Access the Gemini API in Google AI Studio and Google Cloud Vertex AI.
Run the following at a command line in your .NET project folder.
dotnet add package MSCC.GenerativeAI
Alternatively, if you are working with Visual Studio use the NuGet package manager to add a reference to Mscc.GenerativeAI.
You can then add this code to your sources whenever you need to access any Gemini API provided by Google. This package works for Google AI (Google AI Studio) and Google Cloud Vertex AI.
Use of Gemini API in either Google AI or Vertex AI is almost identical. The major difference is the way to instantiate the model handling your prompt.
Working with Google AI in your application requires an API key which you get in Google AI Studio.
using Mscc.GenerativeAI;
var apiKey = "your_api_key";
var prompt = "Write a story about a magic backpack.";
var model = new GenerativeModel(apiKey: apiKey, model: Model.GeminiPro);
var response = model.GenerateContent(prompt).Result;
Console.WriteLine(response.Text);
Use of Vertex AI requires an account on Google Cloud, a project with billing and Vertex AI API enabled.
using Mscc.GenerativeAI;
var projectId = "your_google_project_id"; // the ID of a project, not its name.
var region = "us-central1"; // see documentation for available regions.
var accessToken = "your_access_token"; // use `gcloud auth application-default print-access-token` to get it.
var prompt = "Write a story about a magic backpack.";
var vertex = new VertexAI(projectId: projectId, region: region);
var model = vertex.GenerativeModel(model: Model.GeminiPro);
model.AccessToken = accessToken;
var response = model.GenerateContent(prompt).Result;
Console.WriteLine(response.Text);
The repository contains a number of test cases for Google AI and Vertex AI. You will find them in the tests folder. They are part of the [GenerativeAI solution].
To run the tests, either enter the relevant information into the appsettings.json, create a new appsettings.user.json file with the same JSON structure in the tests folder, or define the following environment variables
gcloud auth application-default print-access-token is executed)The test cases should provide more insights and use cases on how to use the Mscc.GenerativeAI package in your .NET projects.
You can create issues at the https://github.com/mscraftsman/generative-ai repository.