AI-Studio/app/MindWork AI Studio/Provider/GWDG/ProviderGWDG.cs

150 lines
6.8 KiB
C#

using System.Runtime.CompilerServices;
using AIStudio.Chat;
using AIStudio.Provider.OpenAI;
using AIStudio.Settings;
namespace AIStudio.Provider.GWDG;
public sealed class ProviderGWDG() : BaseProvider(LLMProviders.GWDG, new Uri("https://chat-ai.academiccloud.de/v1/"), ExternalHttpTrustPolicy.SYSTEM_TRUST_ONLY, LOGGER)
{
private static readonly ILogger<ProviderGWDG> LOGGER = Program.LOGGER_FACTORY.CreateLogger<ProviderGWDG>();
// Source: https://docs.hpc.gwdg.de/services/saia/index.html#embeddings
private static readonly Model[] KNOWN_EMBEDDING_MODELS =
[
new("e5-mistral-7b-instruct", "E5 Mistral 7B Instruct"),
new("multilingual-e5-large-instruct", "Multilingual E5 Large Instruct"),
new("qwen3-embedding-4b", "Qwen3 Embedding 4B"),
];
#region Implementation of IProvider
/// <inheritdoc />
public override string Id => LLMProviders.GWDG.ToSecretId();
/// <inheritdoc />
public override string InstanceName { get; set; } = "GWDG SAIA";
/// <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>(
"GWDG",
chatModel,
chatThread,
settingsManager,
async (systemPrompt, apiParameters) =>
{
// Build the list of messages:
var messages = await chatThread.Blocks.BuildMessagesUsingNestedImageUrlAsync(this.Provider, 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],
Stream = true,
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 async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
{
var requestedSecret = await Program.RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
}
/// <inheritdoc />
public override async Task<ModelLoadResult> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
{
var result = await this.LoadModels(SecretStoreType.LLM_PROVIDER, token, apiKeyProvisional);
return result with
{
Models = [..result.Models.Where(model => model.IsChatModel())]
};
}
/// <inheritdoc />
public override Task<ModelLoadResult> GetImageModels(string? apiKeyProvisional = null, CancellationToken token = default)
{
return Task.FromResult(ModelLoadResult.FromModels([]));
}
/// <inheritdoc />
/// <remarks>
/// SAIA answers the models endpoint with its chat models only, so asking it for the embedding
/// models comes back empty. We therefore fall back to the models the documentation names. The
/// endpoint is still asked first: should SAIA start reporting them one day, its answer wins
/// over our list. A failed request is passed on unchanged, so a wrong API key stays visible
/// as such instead of being covered up by the fallback.
/// </remarks>
public override async Task<ModelLoadResult> GetEmbeddingModels(string? apiKeyProvisional = null, CancellationToken token = default)
{
var result = await this.LoadModels(SecretStoreType.EMBEDDING_PROVIDER, token, apiKeyProvisional);
if (!result.Success)
return result;
var embeddingModels = result.Models.Where(model => model.IsEmbeddingModel()).ToList();
if (embeddingModels.Count is 0)
return ModelLoadResult.FromModels(KNOWN_EMBEDDING_MODELS);
return result with
{
Models = [..embeddingModels]
};
}
/// <inheritdoc />
public override Task<ModelLoadResult> GetTranscriptionModels(string? apiKeyProvisional = null, CancellationToken token = default)
{
// Source: https://docs.hpc.gwdg.de/services/saia/index.html#voice-to-text
return Task.FromResult(ModelLoadResult.FromModels(
[
new Model("whisper-large-v2", "Whisper v2 Large"),
]));
}
#endregion
private async Task<ModelLoadResult> LoadModels(SecretStoreType storeType, CancellationToken token, string? apiKeyProvisional = null)
{
var result = await this.LoadModelsResponse<ModelsResponse>(
storeType,
"models",
modelResponse => modelResponse.Data,
token,
apiKeyProvisional);
if (!result.Success)
LOGGER.LogWarning("Failed to load models for provider {ProviderId}. FailureReason: {FailureReason}. TechnicalDetails: {TechnicalDetails}", this.Id, result.FailureReason, result.TechnicalDetails);
return result;
}
}