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Added support for Perplexity (#545)
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Co-authored-by: Thorsten Sommer <mail@tsommer.org>
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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.Perplexity;
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public sealed class ProviderPerplexity(ILogger logger) : BaseProvider("https://api.perplexity.ai/", logger)
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{
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private static readonly Model[] KNOWN_MODELS =
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[
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new("sonar", "Sonar"),
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new("sonar-pro", "Sonar Pro"),
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new("sonar-reasoning", "Sonar Reasoning"),
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new("sonar-reasoning-pro", "Sonar Reasoning Pro"),
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new("sonar-deep-research", "Sonar Deep Research"),
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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.PERPLEXITY.ToName();
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/// <inheritdoc />
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public override string InstanceName { get; set; } = "Perplexity";
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/// <inheritdoc />
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public override async IAsyncEnumerable<ContentStreamChunk> 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 Perplexity HTTP chat request:
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var perplexityChatRequest = 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(perplexityChatRequest, 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>("Perplexity", 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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return this.LoadModels();
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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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return Task.FromResult(Enumerable.Empty<Model>());
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}
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public override IReadOnlyCollection<Capability> GetModelCapabilities(Model model)
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{
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var modelName = model.Id.ToLowerInvariant().AsSpan();
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if(modelName.IndexOf("reasoning") is not -1 ||
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modelName.IndexOf("deep-research") is not -1)
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return
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[
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Capability.TEXT_INPUT,
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Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.IMAGE_OUTPUT,
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Capability.ALWAYS_REASONING,
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];
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return
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[
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Capability.TEXT_INPUT,
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Capability.MULTIPLE_IMAGE_INPUT,
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Capability.TEXT_OUTPUT,
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Capability.IMAGE_OUTPUT,
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];
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}
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#endregion
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private Task<IEnumerable<Model>> LoadModels() => Task.FromResult<IEnumerable<Model>>(KNOWN_MODELS);
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}
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