chore: import upstream snapshot with attribution
This commit is contained in:
@@ -0,0 +1,140 @@
|
||||
// Copyright (c) Microsoft. All rights reserved.
|
||||
|
||||
using Azure.Identity;
|
||||
using Microsoft.Extensions.Configuration;
|
||||
using Microsoft.Extensions.DependencyInjection;
|
||||
using Microsoft.SemanticKernel;
|
||||
|
||||
#pragma warning disable SKEXP0001
|
||||
#pragma warning disable SKEXP0010
|
||||
|
||||
namespace AIModelRouter;
|
||||
|
||||
internal sealed class Program
|
||||
{
|
||||
private static async Task Main(string[] args)
|
||||
{
|
||||
Console.ForegroundColor = ConsoleColor.White;
|
||||
List<string> serviceIds = [];
|
||||
var config = new ConfigurationBuilder().AddUserSecrets<Program>().Build();
|
||||
|
||||
ServiceCollection services = new();
|
||||
|
||||
Console.ForegroundColor = ConsoleColor.DarkCyan;
|
||||
Console.WriteLine("======== AI Services Added ========");
|
||||
|
||||
services.AddKernel();
|
||||
|
||||
// Adding multiple connectors targeting different providers / models.
|
||||
if (config["LMStudio:Endpoint"] is not null)
|
||||
{
|
||||
services.AddOpenAIChatCompletion(
|
||||
serviceId: "lmstudio",
|
||||
modelId: "N/A", // LMStudio model is pre defined in the UI List box.
|
||||
endpoint: new Uri(config["LMStudio:Endpoint"]!),
|
||||
apiKey: null);
|
||||
|
||||
serviceIds.Add("lmstudio");
|
||||
Console.WriteLine("• LMStudio - Use \"lmstudio\" in the prompt.");
|
||||
}
|
||||
|
||||
Console.ForegroundColor = ConsoleColor.Cyan;
|
||||
|
||||
if (config["Ollama:ModelId"] is not null)
|
||||
{
|
||||
services.AddOllamaChatCompletion(
|
||||
serviceId: "ollama",
|
||||
modelId: config["Ollama:ModelId"]!,
|
||||
endpoint: new Uri(config["Ollama:Endpoint"] ?? "http://localhost:11434"));
|
||||
|
||||
serviceIds.Add("ollama");
|
||||
Console.WriteLine("• Ollama - Use \"ollama\" in the prompt.");
|
||||
}
|
||||
|
||||
if (config["AzureOpenAI:Endpoint"] is not null)
|
||||
{
|
||||
if (config["AzureOpenAI:ApiKey"] is not null)
|
||||
{
|
||||
services.AddAzureOpenAIChatCompletion(
|
||||
serviceId: "azureopenai",
|
||||
endpoint: config["AzureOpenAI:Endpoint"]!,
|
||||
deploymentName: config["AzureOpenAI:ChatDeploymentName"]!,
|
||||
apiKey: config["AzureOpenAI:ApiKey"]!);
|
||||
}
|
||||
else
|
||||
{
|
||||
services.AddAzureOpenAIChatCompletion(
|
||||
serviceId: "azureopenai",
|
||||
endpoint: config["AzureOpenAI:Endpoint"]!,
|
||||
deploymentName: config["AzureOpenAI:ChatDeploymentName"]!,
|
||||
credentials: new AzureCliCredential());
|
||||
}
|
||||
|
||||
serviceIds.Add("azureopenai");
|
||||
Console.WriteLine("• Azure OpenAI Added - Use \"azureopenai\" in the prompt.");
|
||||
}
|
||||
|
||||
if (config["OpenAI:ApiKey"] is not null)
|
||||
{
|
||||
services.AddOpenAIChatCompletion(
|
||||
serviceId: "openai",
|
||||
modelId: config["OpenAI:ChatModelId"] ?? "gpt-4o",
|
||||
apiKey: config["OpenAI:ApiKey"]!);
|
||||
|
||||
serviceIds.Add("openai");
|
||||
Console.WriteLine("• OpenAI Added - Use \"openai\" in the prompt.");
|
||||
}
|
||||
|
||||
if (config["Onnx:ModelPath"] is not null)
|
||||
{
|
||||
services.AddOnnxRuntimeGenAIChatCompletion(
|
||||
serviceId: "onnx",
|
||||
modelId: "phi-3",
|
||||
modelPath: config["Onnx:ModelPath"]!);
|
||||
|
||||
serviceIds.Add("onnx");
|
||||
Console.WriteLine("• ONNX Added - Use \"onnx\" in the prompt.");
|
||||
}
|
||||
|
||||
if (config["AzureAIInference:Endpoint"] is not null)
|
||||
{
|
||||
services.AddAzureAIInferenceChatCompletion(
|
||||
serviceId: "azureai",
|
||||
modelId: config["AzureAIInference:ChatModelId"]!,
|
||||
endpoint: new Uri(config["AzureAIInference:Endpoint"]!),
|
||||
apiKey: config["AzureAIInference:ApiKey"]);
|
||||
|
||||
serviceIds.Add("azureai");
|
||||
Console.WriteLine("• Azure AI Inference Added - Use \"azureai\" in the prompt.");
|
||||
}
|
||||
|
||||
// Adding a custom filter to capture router selected service id
|
||||
services.AddSingleton<IPromptRenderFilter>(new SelectedServiceFilter());
|
||||
|
||||
var kernel = services.BuildServiceProvider().GetRequiredService<Kernel>();
|
||||
var router = new CustomRouter();
|
||||
|
||||
Console.ForegroundColor = ConsoleColor.White;
|
||||
while (true)
|
||||
{
|
||||
Console.Write("\nUser > ");
|
||||
var userMessage = Console.ReadLine();
|
||||
|
||||
// Exit application if the user enters an empty message
|
||||
if (string.IsNullOrWhiteSpace(userMessage)) { return; }
|
||||
|
||||
// Find the best service to use based on the user's input
|
||||
KernelArguments arguments = new(new PromptExecutionSettings()
|
||||
{
|
||||
ServiceId = router.GetService(userMessage, serviceIds)
|
||||
});
|
||||
|
||||
// Invoke the prompt and print the response
|
||||
await foreach (var chatChunk in kernel.InvokePromptStreamingAsync(userMessage, arguments).ConfigureAwait(false))
|
||||
{
|
||||
Console.Write(chatChunk);
|
||||
}
|
||||
Console.WriteLine();
|
||||
}
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user