144 lines
5.2 KiB
C#
144 lines
5.2 KiB
C#
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using System.Text;
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using Newtonsoft.Json;
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using Newtonsoft.Json.Linq;
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using Server.Exceptions;
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namespace Server;
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public class AIProvider
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{
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private readonly ILogger<AIProvider> _logger;
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private readonly IConfiguration _configuration;
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public AIProvidersConfiguration aIProvidersConfiguration;
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public AIProvider(ILogger<AIProvider> logger, IConfiguration configuration)
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{
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_logger = logger;
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_configuration = configuration;
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AIProvidersConfiguration? retrievedAiProvidersConfiguration = _configuration
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.GetSection("Embeddingsearch")
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.Get<AIProvidersConfiguration>();
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if (retrievedAiProvidersConfiguration is null)
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{
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_logger.LogCritical("Unable to build AIProvidersConfiguration. Please check your configuration.");
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throw new ServerConfigurationException("Unable to build AIProvidersConfiguration. Please check your configuration.");
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}
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else
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{
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aIProvidersConfiguration = retrievedAiProvidersConfiguration;
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}
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}
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public float[] GenerateEmbeddings(string modelUri, string[] input)
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{
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Uri uri = new(modelUri);
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string provider = uri.Scheme;
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string model = uri.AbsolutePath;
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AIProviderConfiguration? aIProvider = aIProvidersConfiguration.AiProviders
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.FirstOrDefault(x => String.Equals(x.Key.ToLower(), provider.ToLower()))
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.Value;
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if (aIProvider is null)
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{
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_logger.LogError("Model provider {provider} not found in configuration. Requested model: {modelUri}", [provider, modelUri]);
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throw new ServerConfigurationException($"Model provider {provider} not found in configuration. Requested model: {modelUri}");
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}
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using var httpClient = new HttpClient();
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string embeddingsJsonPath = "";
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Uri baseUri = new(aIProvider.BaseURL);
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Uri requestUri;
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IEmbedRequestBody embedRequest;
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string[][] requestHeaders = [];
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switch (aIProvider.Handler)
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{
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case "ollama":
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embeddingsJsonPath = "$.embeddings[*]";
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requestUri = new Uri(baseUri, "/api/embed");
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embedRequest = new OllamaEmbedRequestBody()
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{
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input = input,
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model = model
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};
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break;
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case "openai":
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embeddingsJsonPath = "$.data[*].embedding";
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requestUri = new Uri(baseUri, "/v1/embeddings");
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embedRequest = new OpenAIEmbedRequestBody()
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{
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input = input,
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model = model
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};
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if (aIProvider.ApiKey is not null)
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{
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requestHeaders = [
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["Authorization", $"Bearer {aIProvider.ApiKey}"]
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];
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}
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break;
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default:
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_logger.LogError("Unknown handler {aIProvider.Handler} in AiProvider {provider}.", [aIProvider.Handler, provider]);
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throw new ServerConfigurationException($"Unknown handler {aIProvider.Handler} in AiProvider {provider}.");
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}
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var requestContent = new StringContent(
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JsonConvert.SerializeObject(embedRequest),
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UnicodeEncoding.UTF8,
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"application/json"
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);
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var request = new HttpRequestMessage()
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{
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RequestUri = requestUri,
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Method = HttpMethod.Post,
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Content = requestContent
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};
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foreach (var header in requestHeaders)
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{
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request.Headers.Add(header[0], header[1]);
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}
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HttpResponseMessage response = httpClient.PostAsync(requestUri, requestContent).Result;
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string responseContent = response.Content.ReadAsStringAsync().Result;
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try
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{
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JObject responseContentJson = JObject.Parse(responseContent);
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JToken? responseContentTokens = responseContentJson.SelectToken(embeddingsJsonPath);
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if (responseContentTokens is null)
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{
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_logger.LogError("Unable to select tokens using JSONPath {embeddingsJsonPath} for string: {responseContent}.", [embeddingsJsonPath, responseContent]);
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throw new JSONPathSelectionException(embeddingsJsonPath, responseContent);
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}
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return [.. responseContentTokens.Values<float>()];
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}
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catch (Exception ex)
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{
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_logger.LogError("Unable to parse the response to valid embeddings. {ex.Message}", [ex.Message]);
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throw;
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}
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}
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}
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public class AIProvidersConfiguration
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{
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public required Dictionary<string, AIProviderConfiguration> AiProviders { get; set; }
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}
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public class AIProviderConfiguration
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{
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public required string Handler { get; set; }
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public required string BaseURL { get; set; }
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public string? ApiKey { get; set; }
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}
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public interface IEmbedRequestBody { }
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public class OllamaEmbedRequestBody : IEmbedRequestBody
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{
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public required string model { get; set; }
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public required string[] input { get; set; }
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}
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public class OpenAIEmbedRequestBody : IEmbedRequestBody
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{
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public required string model { get; set; }
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public required string[] input { get; set; }
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} |