Encamina.Enmarcha.AI.IntentsPrediction.Azure 8.1.2

AI - Azure Intent Prediction

Azure Intent Prediction is a wrapper project for Azure Cognitive Language Services Conversations client library. Its main functionality is to simplify and abstract the usage of the library, primarily focused on intention detection.

Setup

Nuget package

First, install NuGet. Then, install Encamina.Enmarcha.AI.IntentsPrediction.Azure from the package manager console:

PM> Install-Package Encamina.Enmarcha.AI.IntentsPrediction.Azure

.NET CLI:

Install .NET CLI. Next, install Encamina.Enmarcha.AI.IntentsPrediction.Azure from the .NET CLI:

dotnet add package Encamina.Enmarcha.AI.IntentsPrediction.Azure

How to use

First, you need to add the IntentPredictionConfigurations to your project configuration. You can achieve this by using any configuration provider. The following code is an example of how the settings should be set up using the appsettings.json file:

  {
    // ...
    "IntentPredictionConfigurations": {    
      "IntentPredictionOptions": [
        {
          "Name": "DefaultIntentPrediction", // Name of this configuration
          "EndpointUrl": "https://example.cognitiveservices.azure.com/", // Language Service endpoint's url
          "KeyCredential": "<API-KEY>", // Language Service (security) key
          "DeploymentSlot": "development", // Deployment type, allowing the 'test' and 'prod' ('production' works as well)
          "OrchestratorName": "<ORCHESTRATOR-NAME>", // The name of the Orchestrator to use as intent prediction service from Azure
          "EnableLogging": true, // A flag to indicate whether logging is enabled
          "EnableVerbose": false, // A flag to indicate whether verbose mode is enabled
          "ConfidenceThreshold": 0.65 // Minimum threshold score for answers, value ranges from 0 to 1
        }
      ]
    },
    // ...
  }

Next, in Program.cs or a similar entry point file in your project, add the following code.

// Entry point
var builder = WebApplication.CreateBuilder(new WebApplicationOptions
{
   // ...
});

// ...

// Or others configuration providers...
builder.Configuration.AddJsonFile("appsettings.json", optional: true, reloadOnChange: true); 

builder.Services.AddDefaultCognitiveServiceProvider()
                .AddAzureIntentPredictionServices(builder.Configuration);

The extension methods AddDefaultCognitiveServiceProvider and AddAzureIntentPredictionServices manage the configuration to create instances of ICognitiveServiceProvider. With this, you can retrieve instances of IIntentPredictionService (whose implementation is IntentPredictionService). As seen in the appsettings.json, IntentPredictionConfigurations is an array, which allows you to generate different Intent Prediction configurations and retrieve information based on the Name parameter. You can inject ICognitiveServiceProvider through the constructor.

public class MyClass
{
    private readonly IIntentPredictionService intentPredictionService;

    public MyClass(ICognitiveServiceProvider cognitiveServiceProvider)
    {
        // The value "DefaultIntentPrediction" is the name specified in the JSON from the previous code.
        // This is just an example code; avoid hardcoding strings :)
        intentPredictionService = cognitiveServiceProvider.GetIntentPredictionService("DefaultIntentPrediction");
    }

    public async Task<string> GetIntentAsync(string userInput, CancellationToken cancellationToken)
    {
        var intentPredictionRequest = new IntentPredictionRequest()
        {
            IntentPredictionOptions = new IntentPredictionOptions() { Language = CultureInfo.CurrentCulture },
            Utterance = userInput
        };

        var intentPredictionResult = await intentPredictionService.PredictIntentAsync(intentPredictionRequest, cancellationToken);

        return intentPredictionResult.IntentPrediction?.TopIntentName;
    }
}