// This is an automatically generated code sample. 
// To make this code sample work in your Oracle Cloud tenancy, 
// please replace the values for any parameters whose current values do not fit
// your use case (such as resource IDs, strings containing ‘EXAMPLE’ or ‘unique_id’, and 
// boolean, number, and enum parameters with values not fitting your use case).

using System;
using System.Collections.Generic;
using System.Threading.Tasks;
using Oci.GenerativeaiinferenceService;
using Oci.Common;
using Oci.Common.Auth;

namespace Oci.Sdk.DotNet.Example.Generativeaiinference
{
    public class EmbedTextExample
    {
        public static async Task Main()
        {
            // Create a request and dependent object(s).
			var embedTextDetails = new Oci.GenerativeaiinferenceService.Models.EmbedTextDetails
			{
				Inputs = new List<string>
				{
					"EXAMPLE--Value"
				},
				ServingMode = new Oci.GenerativeaiinferenceService.Models.OnDemandServingMode
				{
					ModelId = "ocid1.test.oc1..<unique_ID>EXAMPLE-modelId-Value"
				},
				CompartmentId = "ocid1.test.oc1..<unique_ID>EXAMPLE-compartmentId-Value",
				IsEcho = true,
				Truncate = Oci.GenerativeaiinferenceService.Models.EmbedTextDetails.TruncateEnum.None,
				InputType = Oci.GenerativeaiinferenceService.Models.EmbedTextDetails.InputTypeEnum.Classification
			};
			var embedTextRequest = new Oci.GenerativeaiinferenceService.Requests.EmbedTextRequest
			{
				EmbedTextDetails = embedTextDetails,
				OpcRetryToken = "EXAMPLE-opcRetryToken-Value",
				OpcRequestId = "OFSXFLW2IYFTYSBVN7IW<unique_ID>"
			};

            // Create a default authentication provider that uses the DEFAULT
            // profile in the configuration file.
            // Refer to <see href="https://docs.cloud.oracle.com/en-us/iaas/Content/API/Concepts/sdkconfig.htm#SDK_and_CLI_Configuration_File>the public documentation</see> on how to prepare a configuration file. 
            var provider = new ConfigFileAuthenticationDetailsProvider("DEFAULT");
            try
            {
                // Create a service client and send the request.
				using (var client = new GenerativeAiInferenceClient(provider, new ClientConfiguration()))
				{
					var response = await client.EmbedText(embedTextRequest);
					// Retrieve value from the response.
					var id = response.EmbedTextResult.Id;
				}
            }
            catch (Exception e)
            {
                Console.WriteLine($"EmbedText Failed with {e.Message}");
                throw e;
            }
        }

    }
}