SeemGen/Services/OpenAIEmbeddingService.cs

using System;
using System.Net.Http;
using System.Text;
using System.Threading.Tasks;
using Newtonsoft.Json;

public class OpenAIEmbeddingService
{
    private readonly string _apiKey = "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";
    private readonly HttpClient _httpClient;

    public OpenAIEmbeddingService()
    {        
        _httpClient = new HttpClient();
        _httpClient.DefaultRequestHeaders.Clear();
        _httpClient.DefaultRequestHeaders.Add("Authorization", $"Bearer {_apiKey}");
    }

    public async Task<float[]> GenerateEmbeddingAsync(string text)
    {
        var url = "https://api.openai.com/v1/embeddings";
        var payload = new
        {
            //model = "text-embedding-3-small",
            model = "text-embedding-ada-002",
            input = text
        };

        var content = new StringContent(JsonConvert.SerializeObject(payload), Encoding.UTF8, "application/json");
        var response = await _httpClient.PostAsync(url, content);

        if (response.IsSuccessStatusCode)
        {
            var responseContent = await response.Content.ReadAsStringAsync();
            var result = JsonConvert.DeserializeObject<OpenAIEmbeddingResponse>(responseContent);
            return result.Data[0].Embedding;
        }
        else
        {
            throw new Exception($"Failed to generate embedding: {response.StatusCode}");
        }
    }
}

public class OpenAIEmbeddingResponse
{
    public EmbeddingData[] Data { get; set; }
}

public class EmbeddingData
{
    public float[] Embedding { get; set; }
}