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172 lines
7.3 KiB
C#
172 lines
7.3 KiB
C#
using System.Net.Http.Headers;
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using System.Runtime.CompilerServices;
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using System.Text;
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using System.Text.Json;
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using AIStudio.Chat;
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using AIStudio.Provider.OpenAI;
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using AIStudio.Settings;
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namespace AIStudio.Provider.AlibabaCloud;
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public sealed class ProviderAlibabaCloud(ILogger logger) : BaseProvider("https://dashscope-intl.aliyuncs.com/compatible-mode/v1/", logger)
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{
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#region Implementation of IProvider
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/// <inheritdoc />
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public override string Id => LLMProviders.ALIBABA_CLOUD.ToName();
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/// <inheritdoc />
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public override string InstanceName { get; set; } = "AlibabaCloud";
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/// <inheritdoc />
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public override async IAsyncEnumerable<string> StreamChatCompletion(Model chatModel, ChatThread chatThread, SettingsManager settingsManager, [EnumeratorCancellation] CancellationToken token = default)
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{
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// Get the API key:
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var requestedSecret = await RUST_SERVICE.GetAPIKey(this);
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if(!requestedSecret.Success)
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yield break;
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// Prepare the system prompt:
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var systemPrompt = new Message
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{
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Role = "system",
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Content = chatThread.PrepareSystemPrompt(settingsManager, chatThread, this.logger),
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};
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// Prepare the AlibabaCloud HTTP chat request:
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var alibabaCloudChatRequest = JsonSerializer.Serialize(new ChatRequest
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{
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Model = chatModel.Id,
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// Build the messages:
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// - First of all the system prompt
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// - Then none-empty user and AI messages
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Messages = [systemPrompt, ..chatThread.Blocks.Where(n => n.ContentType is ContentType.TEXT && !string.IsNullOrWhiteSpace((n.Content as ContentText)?.Text)).Select(n => new Message
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{
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Role = n.Role switch
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{
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ChatRole.USER => "user",
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ChatRole.AI => "assistant",
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ChatRole.AGENT => "assistant",
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ChatRole.SYSTEM => "system",
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_ => "user",
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},
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Content = n.Content switch
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{
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ContentText text => text.Text,
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_ => string.Empty,
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}
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}).ToList()],
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Stream = true,
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}, JSON_SERIALIZER_OPTIONS);
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async Task<HttpRequestMessage> RequestBuilder()
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{
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// Build the HTTP post request:
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var request = new HttpRequestMessage(HttpMethod.Post, "chat/completions");
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// Set the authorization header:
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request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", await requestedSecret.Secret.Decrypt(ENCRYPTION));
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// Set the content:
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request.Content = new StringContent(alibabaCloudChatRequest, Encoding.UTF8, "application/json");
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return request;
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}
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await foreach (var content in this.StreamChatCompletionInternal<ResponseStreamLine>("AlibabaCloud", RequestBuilder, token))
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yield return content;
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}
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#pragma warning disable CS1998 // Async method lacks 'await' operators and will run synchronously
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/// <inheritdoc />
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public override async IAsyncEnumerable<ImageURL> StreamImageCompletion(Model imageModel, string promptPositive, string promptNegative = FilterOperator.String.Empty, ImageURL referenceImageURL = default, [EnumeratorCancellation] CancellationToken token = default)
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{
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yield break;
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}
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#pragma warning restore CS1998 // Async method lacks 'await' operators and will run synchronously
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/// <inheritdoc />
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public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
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{
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var additionalModels = new[]
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{
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new Model("qwq-plus", "QwQ plus"), // reasoning model
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new Model("qwen-max-latest", "Qwen-Max (Latest)"),
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new Model("qwen-plus-latest", "Qwen-Plus (Latest)"),
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new Model("qwen-turbo-latest", "Qwen-Turbo (Latest)"),
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new Model("qvq-max", "QVQ Max"), // visual reasoning model
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new Model("qvq-max-latest", "QVQ Max (Latest)"), // visual reasoning model
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new Model("qwen-vl-max", "Qwen-VL Max"), // text generation model that can understand and process images
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new Model("qwen-vl-plus", "Qwen-VL Plus"), // text generation model that can understand and process images
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new Model("qwen-mt-plus", "Qwen-MT Plus"), // machine translation
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new Model("qwen-mt-turbo", "Qwen-MT Turbo"), // machine translation
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//Open source
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new Model("qwen2.5-14b-instruct-1m", "Qwen2.5 14b 1m context"),
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new Model("qwen2.5-7b-instruct-1m", "Qwen2.5 7b 1m context"),
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new Model("qwen2.5-72b-instruct", "Qwen2.5 72b"),
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new Model("qwen2.5-32b-instruct", "Qwen2.5 32b"),
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new Model("qwen2.5-14b-instruct", "Qwen2.5 14b"),
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new Model("qwen2.5-7b-instruct", "Qwen2.5 7b"),
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new Model("qwen2.5-omni-7b", "Qwen2.5-Omni 7b"), // omni-modal understanding and generation model
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new Model("qwen2.5-vl-72b-instruct", "Qwen2.5-VL 72b"),
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new Model("qwen2.5-vl-32b-instruct", "Qwen2.5-VL 32b"),
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new Model("qwen2.5-vl-7b-instruct", "Qwen2.5-VL 7b"),
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new Model("qwen2.5-vl-3b-instruct", "Qwen2.5-VL 3b"),
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};
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return this.LoadModels(["q"],token, apiKeyProvisional).ContinueWith(t => t.Result.Concat(additionalModels).OrderBy(x => x.Id).AsEnumerable(), token);
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}
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/// <inheritdoc />
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public override Task<IEnumerable<Model>> GetImageModels(string? apiKeyProvisional = null, CancellationToken token = default)
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{
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return Task.FromResult(Enumerable.Empty<Model>());
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}
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/// <inheritdoc />
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public override Task<IEnumerable<Model>> GetEmbeddingModels(string? apiKeyProvisional = null, CancellationToken token = default)
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{
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var additionalModels = new[]
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{
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new Model("text-embedding-v3", "text-embedding-v3"),
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};
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return this.LoadModels(["text-embedding-"], token, apiKeyProvisional).ContinueWith(t => t.Result.Concat(additionalModels).OrderBy(x => x.Id).AsEnumerable(), token);
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}
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#endregion
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private async Task<IEnumerable<Model>> LoadModels(string[] prefixes, CancellationToken token, string? apiKeyProvisional = null)
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{
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var secretKey = apiKeyProvisional switch
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{
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not null => apiKeyProvisional,
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_ => await RUST_SERVICE.GetAPIKey(this) switch
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{
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{ Success: true } result => await result.Secret.Decrypt(ENCRYPTION),
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_ => null,
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}
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};
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if (secretKey is null)
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return [];
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using var request = new HttpRequestMessage(HttpMethod.Get, "models");
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request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", secretKey);
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using var response = await this.httpClient.SendAsync(request, token);
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if(!response.IsSuccessStatusCode)
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return [];
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var modelResponse = await response.Content.ReadFromJsonAsync<ModelsResponse>(token);
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return modelResponse.Data.Where(model => prefixes.Any(prefix => model.Id.StartsWith(prefix, StringComparison.InvariantCulture)));
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}
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} |