using System.Runtime.CompilerServices; using AIStudio.Chat; using AIStudio.Models.Live; using AIStudio.Provider.OpenAI; using AIStudio.Settings; namespace AIStudio.Provider.Mistral; public sealed class ProviderMistral() : BaseProvider(LLMProviders.MISTRAL, new Uri("https://api.mistral.ai/v1/"), ExternalHttpTrustPolicy.SYSTEM_TRUST_ONLY, LOGGER) { private static readonly ILogger LOGGER = Program.LOGGER_FACTORY.CreateLogger(); #region Implementation of IProvider /// public override string Id => LLMProviders.MISTRAL.ToSecretId(); /// public override string InstanceName { get; set; } = "Mistral"; /// public override bool HasModelLoadingCapability => true; /// public override async IAsyncEnumerable StreamChatCompletion(Provider.Model chatModel, ChatThread chatThread, SettingsManager settingsManager, [EnumeratorCancellation] CancellationToken token = default) { await foreach (var content in this.StreamOpenAICompatibleChatCompletion( "Mistral", chatModel, chatThread, settingsManager, async (systemPrompt, apiParameters, tools) => { if (TryPopBoolParameter(apiParameters, "safe_prompt", out var parsedSafePrompt)) apiParameters["safe_prompt"] = parsedSafePrompt; if (TryPopIntParameter(apiParameters, "random_seed", out var parsedRandomSeed)) apiParameters["random_seed"] = parsedRandomSeed; // Build the list of messages: var messages = await chatThread.Blocks.BuildMessagesUsingDirectImageUrlAsync(this.CreateSettingsProvider(chatModel)); return 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, Tools = tools, AdditionalApiParameters = apiParameters }; }, token: token)) yield return content; } #pragma warning disable CS1998 // Async method lacks 'await' operators and will run synchronously /// public override async IAsyncEnumerable StreamImageCompletion(Provider.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(Provider.Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default) { var requestedSecret = await Program.RUST_SERVICE.GetAPIKey(this, SecretStoreType.TRANSCRIPTION_PROVIDER); return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token); } /// public override async Task>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List texts) { var requestedSecret = await Program.RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER); return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts); } /// public override async Task GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default) { var modelResponse = await this.LoadModelList(SecretStoreType.LLM_PROVIDER, apiKeyProvisional, token); if(!modelResponse.Success) return modelResponse; return modelResponse with { Models = [ // // Codestral is a fill-in-the-middle model, which we cannot use for chats. Its own // family says so now, bound to this provider, so the word "code" no longer has to // be tested for here -- and testing for it never reached mistral-code-fim-latest, // which does the same job under a name that begins differently. // ..modelResponse.Models.Where(n => n.IsChatModel(this.Provider)) ] }; } /// public override async Task GetEmbeddingModels(string? apiKeyProvisional = null, CancellationToken token = default) { var modelResponse = await this.LoadModelList(SecretStoreType.EMBEDDING_PROVIDER, apiKeyProvisional, token); if(!modelResponse.Success) return modelResponse; return modelResponse with { Models = [..modelResponse.Models.Where(n => n.IsEmbeddingModel(this.Provider))] }; } /// public override Task GetImageModels(string? apiKeyProvisional = null, CancellationToken token = default) { return Task.FromResult(ModelLoadResult.FromModels([])); } /// public override async Task GetTranscriptionModels(string? apiKeyProvisional = null, CancellationToken token = default) { var modelResponse = await this.LoadModelList(SecretStoreType.TRANSCRIPTION_PROVIDER, apiKeyProvisional, token); if (!modelResponse.Success) return modelResponse; return modelResponse with { Models = [..modelResponse.Models.Where(n => n.IsTranscriptionModel(this.Provider))] }; } #endregion private Task LoadModelList(SecretStoreType storeType, string? apiKeyProvisional, CancellationToken token) { return this.LoadModelsResponse( storeType, "models", modelResponse => modelResponse.Data.Select(n => new Provider.Model(n.Id, null)), apiKeyProvisional, listingFactory: modelResponse => modelResponse.Data.Select(n => ModelListing.For(n.Id, n.ContextWindowTokens)), token: token); } }