Added Requesty as a provider

Requesty is an OpenAI compatible AI gateway. The provider mirrors OpenRouter: chat completions over https://router.requesty.ai/v1/, the same project headers, and a model list read from both the managed policies (models/managed) and the full catalog (models), including the context window.

app/MindWork AI Studio/Provider/LLMProviders.cs

@@ -19,6 +19,7 @@ public enum LLMProviders
     HETZNER = 16,
     IONOS = 17,
     LITE_LLM = 18,
+    REQUESTY = 19,
 
     FIREWORKS = 5,
     GROQ = 6,

app/MindWork AI Studio/Provider/LLMProvidersExtensions.cs

@@ -14,6 +14,7 @@ using AIStudio.Provider.Mistral;
 using AIStudio.Provider.OpenAI;
 using AIStudio.Provider.OpenRouter;
 using AIStudio.Provider.Perplexity;
+using AIStudio.Provider.Requesty;
 using AIStudio.Provider.SelfHosted;
 using AIStudio.Provider.X;
 using AIStudio.Settings;
@@ -62,6 +63,7 @@ public static class LLMProvidersExtensions
         LLMProviders.HETZNER => "Hetzner (Experimental)",
         LLMProviders.IONOS => "IONOS",
         LLMProviders.LITE_LLM => "LiteLLM",
+        LLMProviders.REQUESTY => "Requesty",
 
         LLMProviders.GROQ => "Groq",
         LLMProviders.FIREWORKS => "Fireworks.ai",
@@ -100,6 +102,7 @@ public static class LLMProvidersExtensions
         LLMProviders.HETZNER => "Hetzner",
         LLMProviders.IONOS => "IONOS",
         LLMProviders.LITE_LLM => "LiteLLM",
+        LLMProviders.REQUESTY => "Requesty",
 
         LLMProviders.GROQ => "Groq",
         LLMProviders.FIREWORKS => "Fireworks.ai",
@@ -170,6 +173,8 @@ public static class LLMProvidersExtensions
         // of a self-hosted model here and let the user assign the level themselves.
         LLMProviders.LITE_LLM => Confidence.USER_OPERATED_GATEWAY.WithSources("https://docs.litellm.ai/docs/data_security").WithLevel(settingsManager.GetConfiguredConfidenceLevel(llmProvider)),
 
+        LLMProviders.REQUESTY => Confidence.UNKNOWN.WithSources("https://www.requesty.ai/privacy", "https://www.requesty.ai/terms").WithLevel(settingsManager.GetConfiguredConfidenceLevel(llmProvider)),
+
         LLMProviders.SELF_HOSTED => Confidence.SELF_HOSTED.WithLevel(settingsManager.GetConfiguredConfidenceLevel(llmProvider)),
         
         LLMProviders.HELMHOLTZ => Confidence.GDPR_NO_TRAINING.WithRegion("Europe, Germany").WithSources("https://helmholtz.cloud/services/?serviceID=d7d5c597-a2f6-4bd1-b71e-4d6499d98570").WithLevel(settingsManager.GetConfiguredConfidenceLevel(llmProvider)),
@@ -208,6 +213,7 @@ public static class LLMProvidersExtensions
         LLMProviders.DEEP_SEEK => false,
         LLMProviders.PERPLEXITY => false,
         LLMProviders.HETZNER => false,
+        LLMProviders.REQUESTY => false,
 
         //
         // Hugging Face serves embeddings, but not through the router endpoint we chat with: that
@@ -254,6 +260,7 @@ public static class LLMProvidersExtensions
         LLMProviders.X => false,
         LLMProviders.DEEP_SEEK => false,
         LLMProviders.PERPLEXITY => false,
+        LLMProviders.REQUESTY => false,
 
         //
         // Hugging Face transcribes audio, but like embeddings, not through the router endpoint we
@@ -319,6 +326,7 @@ public static class LLMProvidersExtensions
                 LLMProviders.HETZNER => new ProviderHetzner { InstanceName = instanceName, ConfiguredProviderId = configuredProviderId, AdditionalJsonApiParameters = expertProviderApiParameter, TokenizerPath = tokenizerPath, IsEnterpriseConfiguration = isEnterpriseConfiguration },
                 LLMProviders.IONOS => new ProviderIONOS { InstanceName = instanceName, ConfiguredProviderId = configuredProviderId, AdditionalJsonApiParameters = expertProviderApiParameter, TokenizerPath = tokenizerPath, IsEnterpriseConfiguration = isEnterpriseConfiguration },
                 LLMProviders.LITE_LLM => new ProviderLiteLLM(hostname) { InstanceName = instanceName, ConfiguredProviderId = configuredProviderId, AdditionalJsonApiParameters = expertProviderApiParameter, TokenizerPath = tokenizerPath, IsEnterpriseConfiguration = isEnterpriseConfiguration },
+                LLMProviders.REQUESTY => new ProviderRequesty { InstanceName = instanceName, ConfiguredProviderId = configuredProviderId, AdditionalJsonApiParameters = expertProviderApiParameter, TokenizerPath = tokenizerPath, IsEnterpriseConfiguration = isEnterpriseConfiguration },
 
                 LLMProviders.GROQ => new ProviderGroq { InstanceName = instanceName, ConfiguredProviderId = configuredProviderId, AdditionalJsonApiParameters = expertProviderApiParameter, TokenizerPath = tokenizerPath, IsEnterpriseConfiguration = isEnterpriseConfiguration },
                 LLMProviders.FIREWORKS => new ProviderFireworks { InstanceName = instanceName, ConfiguredProviderId = configuredProviderId, AdditionalJsonApiParameters = expertProviderApiParameter, TokenizerPath = tokenizerPath, IsEnterpriseConfiguration = isEnterpriseConfiguration },
@@ -357,6 +365,7 @@ public static class LLMProvidersExtensions
         LLMProviders.OPEN_ROUTER => "https://openrouter.ai/keys",
         LLMProviders.HETZNER => "https://experiments.hetzner.com",
         LLMProviders.IONOS => "https://cloud.ionos.com/compute/sign-up",
+        LLMProviders.REQUESTY => "https://app.requesty.ai/api-keys",
 
         LLMProviders.GROQ => "https://console.groq.com/",
         LLMProviders.FIREWORKS => "https://fireworks.ai/login",
@@ -384,6 +393,7 @@ public static class LLMProvidersExtensions
         LLMProviders.HUGGINGFACE => "https://huggingface.co/settings/billing",
         LLMProviders.HETZNER => "https://experiments.hetzner.com",
         LLMProviders.IONOS => "https://dcd.ionos.com/latest/?page=dcd-ai-model-hub",
+        LLMProviders.REQUESTY => "https://app.requesty.ai/",
 
         _ => string.Empty,
     };
@@ -404,6 +414,7 @@ public static class LLMProvidersExtensions
         LLMProviders.HUGGINGFACE => true,
         LLMProviders.HETZNER => true,
         LLMProviders.IONOS => true,
+        LLMProviders.REQUESTY => true,
 
         _ => false,
     };
@@ -473,6 +484,7 @@ public static class LLMProvidersExtensions
         LLMProviders.HETZNER => true,
         LLMProviders.IONOS => true,
         LLMProviders.LITE_LLM => true,
+        LLMProviders.REQUESTY => true,
 
         LLMProviders.GROQ => true,
         LLMProviders.FIREWORKS => true,
@@ -502,6 +514,7 @@ public static class LLMProvidersExtensions
         LLMProviders.OPEN_ROUTER => true,
         LLMProviders.HETZNER => true,
         LLMProviders.IONOS => true,
+        LLMProviders.REQUESTY => true,
 
         LLMProviders.GROQ => true,
         LLMProviders.FIREWORKS => true,

app/MindWork AI Studio/Provider/LLMProvidersIconExtensions.cs

@@ -31,6 +31,7 @@ public static class LLMProvidersIconExtensions
         LLMProviders.HETZNER => $"{ICON_ROOT}/hetzner.svg",
         LLMProviders.IONOS => $"{ICON_ROOT}/ionos.svg",
         LLMProviders.LITE_LLM => $"{ICON_ROOT}/litellm.svg",
+        LLMProviders.REQUESTY => $"{ICON_ROOT}/requesty.svg",
         LLMProviders.GROQ => $"{ICON_ROOT}/groq.svg",
         LLMProviders.FIREWORKS => $"{ICON_ROOT}/fireworks.svg",
         LLMProviders.HUGGINGFACE => $"{ICON_ROOT}/hugging-face.svg",

app/MindWork AI Studio/Provider/Reasoning/ReasoningDispatcher.cs

@@ -108,6 +108,7 @@ public static class ReasoningDispatcher
             LLMProviders.HETZNER or
             LLMProviders.IONOS or
             LLMProviders.LITE_LLM or
+            LLMProviders.REQUESTY or
             LLMProviders.X or
             LLMProviders.DEEP_SEEK or
             LLMProviders.GROQ or

app/MindWork AI Studio/Provider/Requesty/ProviderRequesty.cs

@@ -0,0 +1,162 @@
+using System.Net.Http.Headers;
+using System.Runtime.CompilerServices;
+
+using AIStudio.Chat;
+using AIStudio.Models.Live;
+using AIStudio.Provider.OpenAI;
+using AIStudio.Settings;
+
+namespace AIStudio.Provider.Requesty;
+
+public sealed class ProviderRequesty() : BaseProvider(LLMProviders.REQUESTY, new Uri("https://router.requesty.ai/v1/"), ExternalHttpTrustPolicy.SYSTEM_TRUST_ONLY, LOGGER)
+{
+    private const string PROJECT_WEBSITE = "https://github.com/MindWorkAI/AI-Studio";
+    private const string PROJECT_NAME = "MindWork AI Studio";
+
+    private static readonly ILogger<ProviderRequesty> LOGGER = Program.LOGGER_FACTORY.CreateLogger<ProviderRequesty>();
+
+    #region Implementation of IProvider
+
+    /// <inheritdoc />
+    public override string Id => LLMProviders.REQUESTY.ToSecretId();
+
+    /// <inheritdoc />
+    public override string InstanceName { get; set; } = "Requesty";
+
+    /// <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, NoChatCompletionAnnotationStreamLine>(
+                           "Requesty",
+                           chatModel,
+                           chatThread,
+                           settingsManager,
+                           async (systemPrompt, apiParameters, tools) =>
+                           {
+                               // 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
+                               };
+                           },
+                           headersAction: headers =>
+                           {
+                               // Set custom headers for project identification:
+                               headers.Add("HTTP-Referer", PROJECT_WEBSITE);
+                               headers.Add("X-Title", PROJECT_NAME);
+                           },
+                           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 Task<TranscriptionResult> TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default)
+    {
+        return Task.FromResult(TranscriptionResult.Failure());
+    }
+
+    /// <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 Task<ModelLoadResult> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
+    {
+        return this.LoadModels(SecretStoreType.LLM_PROVIDER, apiKeyProvisional, token);
+    }
+
+    /// <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 Task<ModelLoadResult> GetTranscriptionModels(string? apiKeyProvisional = null, CancellationToken token = default)
+    {
+        return Task.FromResult(ModelLoadResult.FromModels([]));
+    }
+
+    #endregion
+
+    /// <summary>
+    /// Loads the managed policies and the full model catalog, and offers both as one list.
+    /// </summary>
+    /// <remarks>
+    /// Requesty lists its managed policies, such as "gpt-5-mini@eu", on a route of their own, and
+    /// the catalog does not contain them. Both lists are read before anything is reported, because
+    /// what is reported replaces everything this instance said before. When the managed route
+    /// fails, the catalog alone is still offered.
+    /// </remarks>
+    /// <param name="storeType">Where the API key is stored.</param>
+    /// <param name="apiKeyProvisional">An API key which is not stored yet.</param>
+    /// <param name="token">The cancellation token to use.</param>
+    /// <returns>The chat models.</returns>
+    private async Task<ModelLoadResult> LoadModels(SecretStoreType storeType, string? apiKeyProvisional, CancellationToken token)
+    {
+        IList<RequestyModel> managedModels = [];
+        await this.LoadModelsResponse<RequestyModelsResponse>(
+            storeType,
+            "models/managed",
+            modelResponse =>
+            {
+                managedModels = modelResponse.Data;
+                return [];
+            },
+            apiKeyProvisional,
+            requestConfigurator: ConfigureRequest,
+            token: token);
+
+        return await this.LoadModelsResponse<RequestyModelsResponse>(
+            storeType,
+            "models",
+            modelResponse => managedModels.Concat(modelResponse.Data)
+                .DistinctBy(n => n.Id)
+                .Select(n => new Model(n.Id, null))
+                .Where(model => model.IsChatModel(this.Provider)),
+            apiKeyProvisional,
+            requestConfigurator: ConfigureRequest,
+            listingFactory: modelResponse => managedModels.Concat(modelResponse.Data)
+                .DistinctBy(n => n.Id)
+                .Select(n => ModelListing.For(n.Id, n.ContextWindowTokens)),
+            token: token);
+    }
+
+    private static void ConfigureRequest(HttpRequestMessage request, string secretKey)
+    {
+        request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", secretKey);
+        request.Headers.Add("HTTP-Referer", PROJECT_WEBSITE);
+        request.Headers.Add("X-Title", PROJECT_NAME);
+    }
+}

app/MindWork AI Studio/Provider/Requesty/RequestyModel.cs

@@ -0,0 +1,10 @@
+using System.Text.Json.Serialization;
+
+namespace AIStudio.Provider.Requesty;
+
+/// <summary>
+/// A data model for a Requesty model from the API.
+/// </summary>
+/// <param name="Id">The model's ID.</param>
+/// <param name="ContextWindowTokens">How much the model reads and writes in one conversation, in tokens.</param>
+public readonly record struct RequestyModel(string Id, [property: JsonPropertyName("context_window")] int? ContextWindowTokens);

app/MindWork AI Studio/Provider/Requesty/RequestyModelsResponse.cs

@@ -0,0 +1,7 @@
+namespace AIStudio.Provider.Requesty;
+
+/// <summary>
+/// A data model for the response from the Requesty models endpoints.
+/// </summary>
+/// <param name="Data">The list of models.</param>
+public readonly record struct RequestyModelsResponse(IList<RequestyModel> Data);