using System.Net.Http.Headers; using System.Runtime.CompilerServices; using System.Text; using System.Text.Json; using AIStudio.Chat; using AIStudio.Provider.OpenAI; using AIStudio.Settings; namespace AIStudio.Provider.OpenRouter; public sealed class ProviderOpenRouter() : BaseProvider("https://openrouter.ai/api/v1/", LOGGER) { private const string PROJECT_WEBSITE = "https://github.com/MindWorkAI/AI-Studio"; private const string PROJECT_NAME = "MindWork AI Studio"; private static readonly ILogger LOGGER = Program.LOGGER_FACTORY.CreateLogger(); #region Implementation of IProvider /// public override string Id => LLMProviders.OPEN_ROUTER.ToName(); /// public override string InstanceName { get; set; } = "OpenRouter"; /// public override async IAsyncEnumerable StreamChatCompletion(Model chatModel, ChatThread chatThread, SettingsManager settingsManager, [EnumeratorCancellation] CancellationToken token = default) { // Get the API key: var requestedSecret = await RUST_SERVICE.GetAPIKey(this); if(!requestedSecret.Success) yield break; // Prepare the system prompt: var systemPrompt = new TextMessage { Role = "system", Content = chatThread.PrepareSystemPrompt(settingsManager, chatThread), }; // Parse the API parameters: var apiParameters = this.ParseAdditionalApiParameters(); // Build the list of messages: var messages = await chatThread.Blocks.BuildMessages(async n => new TextMessage { Role = n.Role switch { ChatRole.USER => "user", ChatRole.AI => "assistant", ChatRole.AGENT => "assistant", ChatRole.SYSTEM => "system", _ => "user", }, Content = n.Content switch { ContentText text => await text.PrepareContentForAI(), _ => string.Empty, } }); // Prepare the OpenRouter HTTP chat request: var openRouterChatRequest = JsonSerializer.Serialize(new ChatCompletionAPIRequest { Model = chatModel.Id, // Build the messages: // - First of all the system prompt // - Then none-empty user and AI messages Messages = [systemPrompt, ..messages], // Right now, we only support streaming completions: Stream = true, AdditionalApiParameters = apiParameters }, JSON_SERIALIZER_OPTIONS); async Task RequestBuilder() { // Build the HTTP post request: var request = new HttpRequestMessage(HttpMethod.Post, "chat/completions"); // Set the authorization header: request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", await requestedSecret.Secret.Decrypt(ENCRYPTION)); // Set custom headers for project identification: request.Headers.Add("HTTP-Referer", PROJECT_WEBSITE); request.Headers.Add("X-Title", PROJECT_NAME); // Set the content: request.Content = new StringContent(openRouterChatRequest, Encoding.UTF8, "application/json"); return request; } await foreach (var content in this.StreamChatCompletionInternal("OpenRouter", RequestBuilder, token)) yield return content; } #pragma warning disable CS1998 // Async method lacks 'await' operators and will run synchronously /// public override async IAsyncEnumerable StreamImageCompletion(Model imageModel, string promptPositive, string promptNegative = FilterOperator.String.Empty, ImageURL referenceImageURL = default, [EnumeratorCancellation] CancellationToken token = default) { yield break; } #pragma warning restore CS1998 // Async method lacks 'await' operators and will run synchronously /// public override Task> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default) { return this.LoadModels(token, apiKeyProvisional); } /// public override Task> GetImageModels(string? apiKeyProvisional = null, CancellationToken token = default) { return Task.FromResult(Enumerable.Empty()); } /// public override Task> GetEmbeddingModels(string? apiKeyProvisional = null, CancellationToken token = default) { return this.LoadEmbeddingModels(token, apiKeyProvisional); } #endregion private async Task> LoadModels(CancellationToken token, string? apiKeyProvisional = null) { var secretKey = apiKeyProvisional switch { not null => apiKeyProvisional, _ => await RUST_SERVICE.GetAPIKey(this) switch { { Success: true } result => await result.Secret.Decrypt(ENCRYPTION), _ => null, } }; if (secretKey is null) return []; using var request = new HttpRequestMessage(HttpMethod.Get, "models"); request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", secretKey); // Set custom headers for project identification: request.Headers.Add("HTTP-Referer", PROJECT_WEBSITE); request.Headers.Add("X-Title", PROJECT_NAME); using var response = await this.httpClient.SendAsync(request, token); if(!response.IsSuccessStatusCode) return []; var modelResponse = await response.Content.ReadFromJsonAsync(token); // Filter out non-text models (image, audio, embedding models) and convert to Model return modelResponse.Data .Where(n => !n.Id.Contains("whisper", StringComparison.OrdinalIgnoreCase) && !n.Id.Contains("dall-e", StringComparison.OrdinalIgnoreCase) && !n.Id.Contains("tts", StringComparison.OrdinalIgnoreCase) && !n.Id.Contains("embedding", StringComparison.OrdinalIgnoreCase) && !n.Id.Contains("moderation", StringComparison.OrdinalIgnoreCase) && !n.Id.Contains("stable-diffusion", StringComparison.OrdinalIgnoreCase) && !n.Id.Contains("flux", StringComparison.OrdinalIgnoreCase) && !n.Id.Contains("midjourney", StringComparison.OrdinalIgnoreCase)) .Select(n => new Model(n.Id, n.Name)); } private async Task> LoadEmbeddingModels(CancellationToken token, string? apiKeyProvisional = null) { var secretKey = apiKeyProvisional switch { not null => apiKeyProvisional, _ => await RUST_SERVICE.GetAPIKey(this) switch { { Success: true } result => await result.Secret.Decrypt(ENCRYPTION), _ => null, } }; if (secretKey is null) return []; using var request = new HttpRequestMessage(HttpMethod.Get, "embeddings/models"); request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", secretKey); // Set custom headers for project identification: request.Headers.Add("HTTP-Referer", PROJECT_WEBSITE); request.Headers.Add("X-Title", PROJECT_NAME); using var response = await this.httpClient.SendAsync(request, token); if(!response.IsSuccessStatusCode) return []; var modelResponse = await response.Content.ReadFromJsonAsync(token); // Convert all embedding models to Model return modelResponse.Data.Select(n => new Model(n.Id, n.Name)); } }