Building AI Apps In NET With Microsoft Extensions AI

Microsoft Extensions AI is a framework designed to simplify AI integration in .NET applications. It provides a straightforward API for interacting with Large Language Models (LLMs), making it easier to build AI-powered applications. Below are some practical examples and commands to get started with Microsoft Extensions AI.

Getting Started with Microsoft Extensions AI

1. Install the NuGet Package:

dotnet add package Microsoft.Extensions.AI

2. Configure the AI Services:

using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;

var host = Host.CreateDefaultBuilder(args)
.ConfigureServices((context, services) =>
{
services.AddAIServices(options =>
{
options.UseOpenAI(apiKey: "your-openai-api-key");
});
})
.Build();

await host.RunAsync();

3. Interacting with the LLM:

using Microsoft.Extensions.AI;

var aiService = host.Services.GetRequiredService<IAIService>();
var response = await aiService.GenerateTextAsync("Hello, how can I assist you today?");
Console.WriteLine(response);

4. Using LangChain .NET:

If you prefer using LangChain, you can integrate it as follows:

using LangChain;

var chain = new LangChain();
var result = await chain.Run("What is the capital of France?");
Console.WriteLine(result);

Example: Building a Simple AI-Powered Application

using Microsoft.Extensions.DependencyInjection;
using Microsoft.Extensions.Hosting;
using Microsoft.Extensions.AI;

var host = Host.CreateDefaultBuilder(args)
.ConfigureServices((context, services) =>
{
services.AddAIServices(options =>
{
options.UseOpenAI(apiKey: "your-openai-api-key");
});
})
.Build();

var aiService = host.Services.GetRequiredService<IAIService>();

while (true)
{
Console.Write("You: ");
var input = Console.ReadLine();
if (string.IsNullOrEmpty(input)) break;

var response = await aiService.GenerateTextAsync(input);
Console.WriteLine($"AI: {response}");
}

What Undercode Say

Microsoft Extensions AI is a significant step forward for .NET developers looking to integrate AI into their applications. The framework simplifies the process of interacting with LLMs, making it accessible even for those who are new to AI development. By providing a unified API, it reduces the complexity of integrating various AI services, allowing developers to focus on building innovative applications.

For those interested in exploring further, the integration of LangChain .NET offers additional flexibility and power, especially for more complex AI workflows. The combination of Microsoft Extensions AI and LangChain .NET provides a robust toolkit for .NET developers to harness the full potential of AI.

Here are some additional commands and resources to deepen your understanding: