AI-Studio/app/MindWork AI Studio/Provider/Groq/ProviderGroq.cs

using System.Runtime.CompilerServices;

using AIStudio.Chat;
using AIStudio.Models.Live;
using AIStudio.Provider.OpenAI;
using AIStudio.Settings;

namespace AIStudio.Provider.Groq;

public class ProviderGroq() : BaseProvider(LLMProviders.GROQ, new Uri("https://api.groq.com/openai/v1/"), ExternalHttpTrustPolicy.SYSTEM_TRUST_ONLY, LOGGER)
{
    private static readonly ILogger<ProviderGroq> LOGGER = Program.LOGGER_FACTORY.CreateLogger<ProviderGroq>();

    #region Implementation of IProvider

    /// <inheritdoc />
    public override string Id => LLMProviders.GROQ.ToSecretId();

    /// <inheritdoc />
    public override string InstanceName { get; set; } = "Groq";

    /// <inheritdoc />
    public override bool HasModelLoadingCapability => true;

    /// <inheritdoc />
    public override async IAsyncEnumerable<ContentStreamChunk> StreamChatCompletion(Model chatModel, ChatThread chatThread, SettingsManager settingsManager, [EnumeratorCancellation] CancellationToken token = default)
    {
        await foreach (var content in this.StreamOpenAICompatibleChatCompletion<ChatCompletionAPIRequest, ChatCompletionDeltaStreamLine, ChatCompletionAnnotationStreamLine>(
                           "Groq",
                           chatModel,
                           chatThread,
                           settingsManager,
                           async (systemPrompt, apiParameters, tools) =>
                           {
                               if (TryPopIntParameter(apiParameters, "seed", out var parsedSeed))
                                   apiParameters["seed"] = parsedSeed;

                               // Build the list of messages:
                               var messages = await chatThread.Blocks.BuildMessagesUsingNestedImageUrlAsync(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
    /// <inheritdoc />
    public override async IAsyncEnumerable<ImageURL> 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
    
    /// <inheritdoc />
    public override async Task<TranscriptionResult> TranscribeAudioAsync(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);
    }
    
    /// <inhertidoc />
    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
    {
        throw this.CreateEmbeddingsNotSupportedException();
    }

    /// <inheritdoc />
    public override async Task<ModelLoadResult> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
    {
        var result = await this.LoadModels(SecretStoreType.LLM_PROVIDER, apiKeyProvisional, token);
        return result with
        {
            Models = [..result.Models.Where(model => model.IsChatModel(this.Provider))]
        };
    }

    /// <inheritdoc />
    public override Task<ModelLoadResult> GetImageModels(string? apiKeyProvisional = null, CancellationToken token = default)
    {
        return Task.FromResult(ModelLoadResult.FromModels([]));
    }
    
    /// <inheritdoc />
    public override Task<ModelLoadResult> GetEmbeddingModels(string? apiKeyProvisional = null, CancellationToken token = default)
    {
        return Task.FromResult(ModelLoadResult.FromModels([]));
    }
    
    /// <inheritdoc />
    public override async Task<ModelLoadResult> GetTranscriptionModels(string? apiKeyProvisional = null, CancellationToken token = default)
    {
        var result = await this.LoadModels(SecretStoreType.TRANSCRIPTION_PROVIDER, apiKeyProvisional, token);
        return result with
        {
            Models = [..result.Models.Where(model => model.IsTranscriptionModel(this.Provider))]
        };
    }
    
    #endregion

    private Task<ModelLoadResult> LoadModels(SecretStoreType storeType, string? apiKeyProvisional, CancellationToken token)
    {
        return this.LoadModelsResponse<GroqModelsResponse>(
            storeType,
            "models",
            modelResponse => modelResponse.Data.Select(n => new Model(n.Id, null)),
            apiKeyProvisional,
            listingFactory: modelResponse => modelResponse.Data.Select(n => ModelListing.For(n.Id, n.ContextWindowTokens)),
            token: token);
    }
}