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.Fireworks; public class ProviderFireworks() : BaseProvider(LLMProviders.FIREWORKS, "https://api.fireworks.ai/inference/v1/", LOGGER) { private static readonly ILogger LOGGER = Program.LOGGER_FACTORY.CreateLogger(); #region Implementation of IProvider /// public override string Id => LLMProviders.FIREWORKS.ToName(); /// public override string InstanceName { get; set; } = "Fireworks.ai"; /// 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, SecretStoreType.LLM_PROVIDER); if(!requestedSecret.Success) yield break; // Prepare the system prompt: var systemPrompt = new TextMessage { Role = "system", Content = chatThread.PrepareSystemPrompt(settingsManager), }; // Parse the API parameters: var apiParameters = this.ParseAdditionalApiParameters(); // Build the list of messages: var messages = await chatThread.Blocks.BuildMessagesUsingNestedImageUrlAsync(this.Provider, chatModel); // Prepare the Fireworks HTTP chat request: var fireworksChatRequest = JsonSerializer.Serialize(new ChatRequest { 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 the content: request.Content = new StringContent(fireworksChatRequest, Encoding.UTF8, "application/json"); return request; } await foreach (var content in this.StreamChatCompletionInternal("Fireworks", 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 async Task TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default) { var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.TRANSCRIPTION_PROVIDER); return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token); } /// public override Task>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List texts) { return Task.FromResult>>(Array.Empty>()); } /// public override Task> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default) { return Task.FromResult(Enumerable.Empty()); } /// 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 Task.FromResult(Enumerable.Empty()); } /// public override Task> GetTranscriptionModels(string? apiKeyProvisional = null, CancellationToken token = default) { // Source: https://docs.fireworks.ai/api-reference/audio-transcriptions#param-model return Task.FromResult>( new List { new("whisper-v3", "Whisper v3"), // new("whisper-v3-turbo", "Whisper v3 Turbo"), // does not work }); } #endregion }