Merge 375131b9f7 into 5af6a8db3e

app/MindWork AI Studio/Assistants/I18N/allTexts.lua

@@ -2140,9 +2140,15 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T817101267"]
 -- Would you like to set one provider as the default for the entire app? When you configure a different provider for an assistant, it will always take precedence.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T844514734"] = "Would you like to set one provider as the default for the entire app? When you configure a different provider for an assistant, it will always take precedence."
 
+-- Embedding Result
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1387042335"] = "Embedding Result"
+
 -- Delete
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1469573738"] = "Delete"
 
+-- Test Embedding Provider
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1655784761"] = "Test Embedding Provider"
+
 -- Add Embedding
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1738753945"] = "Add Embedding"
 
@@ -2155,6 +2161,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T18253
 -- Add Embedding Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T190634634"] = "Add Embedding Provider"
 
+-- Embedding Vector (one dimension per line)
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2174876961"] = "Embedding Vector (one dimension per line)"
+
 -- Model
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2189814010"] = "Model"
 
@@ -2164,6 +2173,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T24199
 -- Name
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T266367750"] = "Name"
 
+-- No embedding was returned.
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T291969"] = "No embedding was returned."
+
 -- Configured Embedding Providers
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T305753126"] = "Configured Embedding Providers"
 
@@ -2173,6 +2185,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T32512
 -- Edit
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3267849393"] = "Edit"
 
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3448155331"] = "Close"
+
 -- Actions
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3865031940"] = "Actions"
 
@@ -2194,6 +2209,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T51130
 -- Open Dashboard
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T78223861"] = "Open Dashboard"
 
+-- Test
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T805092869"] = "Test"
+
 -- Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T900237532"] = "Provider"
 
@@ -3274,6 +3292,12 @@ UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900237532"] = "Pro
 -- Cancel
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900713019"] = "Cancel"
 
+-- Embedding Vector
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T1173984541"] = "Embedding Vector"
+
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T3448155331"] = "Close"
+
 -- Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system.
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::PANDOCDIALOG::T1001483402"] = "Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system."
 

app/MindWork AI Studio/Components/Settings/SettingsPanelEmbeddings.razor

@@ -56,6 +56,9 @@
                             <MudTooltip Text="@T("Delete")">
                                 <MudIconButton Color="Color.Error" Icon="@Icons.Material.Filled.Delete" OnClick="@(() => this.DeleteEmbeddingProvider(context))"/>
                             </MudTooltip>
+                            <MudTooltip Text="@T("Test")">
+                                <MudIconButton Color="Color.Info" Icon="@Icons.Material.Filled.Api" OnClick="@(() => this.TestEmbeddingProvider(context))"/>
+                            </MudTooltip>
                         }
                     </MudStack>
                 </MudTd>

app/MindWork AI Studio/Components/Settings/SettingsPanelEmbeddings.razor.cs

@@ -1,4 +1,6 @@
+using System.Globalization;
 using AIStudio.Dialogs;
+using AIStudio.Provider;
 using AIStudio.Settings;
 
 using Microsoft.AspNetCore.Components;
@@ -123,4 +125,48 @@ public partial class SettingsPanelEmbeddings : SettingsPanelBase
         
         await this.AvailableEmbeddingProvidersChanged.InvokeAsync(this.AvailableEmbeddingProviders);
     }
-}
+
+    private async Task TestEmbeddingProvider(EmbeddingProvider provider)
+    {
+        var dialogParameters = new DialogParameters<SingleInputDialog>
+        {
+            { x => x.ConfirmText, "Embed text" },
+            { x => x.InputHeaderText, "Add text that should be embedded:" },
+            { x => x.UserInput, "Add text here"}
+        };
+        
+        var dialogReference = await this.DialogService.ShowAsync<SingleInputDialog>(T("Test Embedding Provider"), dialogParameters, DialogOptions.FULLSCREEN);
+        var dialogResult = await dialogReference.Result;
+        if (dialogResult is null || dialogResult.Canceled)
+            return;
+
+        var inputText = dialogResult.Data as string;
+        if (string.IsNullOrWhiteSpace(inputText))
+            return;
+
+        var embeddingProvider = provider.CreateProvider();
+        var embeddings = await embeddingProvider.EmbedTextAsync(provider.Model, this.SettingsManager, default, new List<string> { inputText });
+
+        if (embeddings.Count == 0)
+        {
+            await this.DialogService.ShowMessageBox(T("Embedding Result"), T("No embedding was returned."), T("Close"));
+            return;
+        }
+
+        var vector = embeddings.FirstOrDefault();
+        if (vector is null || vector.Count == 0)
+        {
+            await this.DialogService.ShowMessageBox(T("Embedding Result"), T("No embedding was returned."), T("Close"));
+            return;
+        }
+
+        var resultText = string.Join(Environment.NewLine, vector.Select(value => value.ToString("G9", CultureInfo.InvariantCulture)));
+        var resultParameters = new DialogParameters<EmbeddingResultDialog>
+        {
+            { x => x.ResultText, resultText },
+            { x => x.ResultLabel, T("Embedding Vector (one dimension per line)") },
+        };
+
+        await this.DialogService.ShowAsync<EmbeddingResultDialog>(T("Embedding Result"), resultParameters, DialogOptions.FULLSCREEN);
+    }
+}

app/MindWork AI Studio/Dialogs/EmbeddingResultDialog.razor

@@ -0,0 +1,22 @@
+@inherits MSGComponentBase
+
+<MudDialog>
+    <DialogContent>
+        <MudTextField
+            T="string"
+            Text="@this.ResultText"
+            Variant="Variant.Outlined"
+            Lines="10"
+            AutoGrow="@true"
+            MaxLines="25"
+            ReadOnly="true"
+            Label="@this.ResultLabelText"
+            AdornmentIcon="@Icons.Material.Filled.DataObject"
+            Adornment="Adornment.Start"/>
+    </DialogContent>
+    <DialogActions>
+        <MudButton OnClick="@this.Close" Variant="Variant.Filled" Color="Color.Primary">
+            @T("Close")
+        </MudButton>
+    </DialogActions>
+</MudDialog>

app/MindWork AI Studio/Dialogs/EmbeddingResultDialog.razor.cs

@@ -0,0 +1,21 @@
+using AIStudio.Components;
+
+using Microsoft.AspNetCore.Components;
+
+namespace AIStudio.Dialogs;
+
+public partial class EmbeddingResultDialog : MSGComponentBase
+{
+    [CascadingParameter]
+    private IMudDialogInstance MudDialog { get; set; } = null!;
+
+    [Parameter]
+    public string ResultText { get; set; } = string.Empty;
+
+    [Parameter]
+    public string ResultLabel { get; set; } = string.Empty;
+
+    private string ResultLabelText => string.IsNullOrWhiteSpace(this.ResultLabel) ? T("Embedding Vector") : this.ResultLabel;
+
+    private void Close() => this.MudDialog.Close();
+}

app/MindWork AI Studio/Plugins/languages/de-de-43065dbc-78d0-45b7-92be-f14c2926e2dc/plugin.lua

@@ -2142,9 +2142,15 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T817101267"]
 -- Would you like to set one provider as the default for the entire app? When you configure a different provider for an assistant, it will always take precedence.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T844514734"] = "Möchten Sie einen Anbieter als Standard für die gesamte App festlegen? Wenn Sie einen anderen Anbieter für einen Assistenten konfigurieren, hat dieser immer Vorrang."
 
+-- Embedding Result
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1387042335"] = "Einbettungsergebnis"
+
 -- Delete
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1469573738"] = "Löschen"
 
+-- Test Embedding Provider
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1655784761"] = "Embedding-Anbieter testen"
+
 -- Add Embedding
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1738753945"] = "Einbettung hinzufügen"
 
@@ -2157,6 +2163,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T18253
 -- Add Embedding Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T190634634"] = "Einbettungsanbieter hinzufügen"
 
+-- Embedding Vector (one dimension per line)
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2174876961"] = "Einbettungsvektor (eine Dimension pro Zeile)"
+
 -- Model
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2189814010"] = "Modell"
 
@@ -2166,6 +2175,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T24199
 -- Name
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T266367750"] = "Name"
 
+-- No embedding was returned.
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T291969"] = "Es wurde keine Einbettung zurückgegeben."
+
 -- Configured Embedding Providers
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T305753126"] = "Konfigurierte Anbieter für Einbettungen"
 
@@ -2175,6 +2187,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T32512
 -- Edit
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3267849393"] = "Bearbeiten"
 
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3448155331"] = "Schließen"
+
 -- Actions
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3865031940"] = "Aktionen"
 
@@ -2196,6 +2211,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T51130
 -- Open Dashboard
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T78223861"] = "Dashboard öffnen"
 
+-- Test
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T805092869"] = "Testen"
+
 -- Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T900237532"] = "Anbieter"
 
@@ -3276,6 +3294,12 @@ UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900237532"] = "Anb
 -- Cancel
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900713019"] = "Abbrechen"
 
+-- Embedding Vector
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T1173984541"] = "Einbettungsvektor"
+
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T3448155331"] = "Schließen"
+
 -- Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system.
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::PANDOCDIALOG::T1001483402"] = "Leider ist die GPL-Lizenz von Pandoc nicht mit der Lizenz von AI Studio kompatibel. Software unter der GPL-Lizenz ist jedoch kostenlos und frei nutzbar. Sie müssen die GPL-Lizenz akzeptieren, bevor wir Pandoc automatisch für Sie herunterladen und installieren können (empfohlen). Alternativ können Sie Pandoc auch selbst herunterladen – entweder mit den untenstehenden Anweisungen oder auf anderem Weg, zum Beispiel über den Paketmanager Ihres Betriebssystems."
 

app/MindWork AI Studio/Plugins/languages/en-us-97dfb1ba-50c4-4440-8dfa-6575daf543c8/plugin.lua

@@ -2142,9 +2142,15 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T817101267"]
 -- Would you like to set one provider as the default for the entire app? When you configure a different provider for an assistant, it will always take precedence.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELAPP::T844514734"] = "Would you like to set one provider as the default for the entire app? When you configure a different provider for an assistant, it will always take precedence."
 
+-- Embedding Result
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1387042335"] = "Embedding Result"
+
 -- Delete
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1469573738"] = "Delete"
 
+-- Test Embedding Provider
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1655784761"] = "Test Embedding Provider"
+
 -- Add Embedding
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T1738753945"] = "Add Embedding"
 
@@ -2157,6 +2163,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T18253
 -- Add Embedding Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T190634634"] = "Add Embedding Provider"
 
+-- Embedding Vector (one dimension per line)
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2174876961"] = "Embedding Vector (one dimension per line)"
+
 -- Model
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T2189814010"] = "Model"
 
@@ -2166,6 +2175,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T24199
 -- Name
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T266367750"] = "Name"
 
+-- No embedding was returned.
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T291969"] = "No embedding was returned."
+
 -- Configured Embedding Providers
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T305753126"] = "Configured Embedding Providers"
 
@@ -2175,6 +2187,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T32512
 -- Edit
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3267849393"] = "Edit"
 
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3448155331"] = "Close"
+
 -- Actions
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T3865031940"] = "Actions"
 
@@ -2196,6 +2211,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T51130
 -- Open Dashboard
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T78223861"] = "Open Dashboard"
 
+-- Test
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T805092869"] = "Test"
+
 -- Provider
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::SETTINGS::SETTINGSPANELEMBEDDINGS::T900237532"] = "Provider"
 
@@ -3276,6 +3294,12 @@ UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900237532"] = "Pro
 -- Cancel
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGPROVIDERDIALOG::T900713019"] = "Cancel"
 
+-- Embedding Vector
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T1173984541"] = "Embedding Vector"
+
+-- Close
+UI_TEXT_CONTENT["AISTUDIO::DIALOGS::EMBEDDINGRESULTDIALOG::T3448155331"] = "Close"
+
 -- Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system.
 UI_TEXT_CONTENT["AISTUDIO::DIALOGS::PANDOCDIALOG::T1001483402"] = "Unfortunately, Pandoc's GPL license isn't compatible with the AI Studios licenses. However, software under the GPL is free to use and free of charge. You'll need to accept the GPL license before we can download and install Pandoc for you automatically (recommended). Alternatively, you might download it yourself using the instructions below or install it otherwise, e.g., by using a package manager of your operating system."
 

app/MindWork AI Studio/Provider/AlibabaCloud/ProviderAlibabaCloud.cs

@@ -86,6 +86,13 @@ public sealed class ProviderAlibabaCloud() : BaseProvider(LLMProviders.ALIBABA_C
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Anthropic/ProviderAnthropic.cs

@@ -113,6 +113,12 @@ public sealed class ProviderAnthropic() : BaseProvider(LLMProviders.ANTHROPIC, "
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/BaseProvider.cs

@@ -1,6 +1,7 @@
 using System.Net;
 using System.Net.Http.Headers;
 using System.Runtime.CompilerServices;
+using System.Text;
 using System.Text.Json;
 using System.Text.Json.Serialization;
 
@@ -98,6 +99,9 @@ public abstract class BaseProvider : IProvider, ISecretId
     /// <inheritdoc />
     public abstract Task<string> TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default);
     
+    /// <inheritdoc />
+    public abstract Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts);
+    
     /// <inheritdoc />
     public abstract Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default);
     
@@ -640,6 +644,82 @@ public abstract class BaseProvider : IProvider, ISecretId
         }
     }
     
+    protected async Task<IReadOnlyList<IReadOnlyList<float>>> PerformStandardTextEmbeddingRequest(RequestedSecret requestedSecret, Model embeddingModel, Host host = Host.NONE, CancellationToken token = default, params List<string> texts)
+    {
+        try
+        {
+            //
+            // Add the model name to the form data. Ensure that a model name is always provided.
+            // Otherwise, the StringContent constructor will throw an exception.
+            //
+            var modelName = embeddingModel.Id;
+            if (string.IsNullOrWhiteSpace(modelName))
+                modelName = "placeholder";
+            
+            // Prepare the HTTP embedding request:
+            var payload = new
+            {
+                model = modelName,
+                input = texts,
+                encoding_format = "float"
+            };
+            var embeddingRequest = JsonSerializer.Serialize(payload, JSON_SERIALIZER_OPTIONS);
+
+            using var request = new HttpRequestMessage(HttpMethod.Post, host.EmbeddingURL());
+
+            // Handle the authorization header based on the provider:
+            switch (this.Provider)
+            {
+                case LLMProviders.SELF_HOSTED:
+                    if(requestedSecret.Success)
+                        request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", await requestedSecret.Secret.Decrypt(ENCRYPTION));
+                    
+                    break;
+                
+                default:
+                    if(!requestedSecret.Success)
+                    {
+                        this.logger.LogError("No valid API key available for embedding request.");
+                        return Array.Empty<IReadOnlyList<float>>();
+                    }
+                    
+                    request.Headers.Authorization = new AuthenticationHeaderValue("Bearer", await requestedSecret.Secret.Decrypt(ENCRYPTION));
+                    break;
+            }
+            
+            // Set the content:
+            request.Content = new StringContent(embeddingRequest, Encoding.UTF8, "application/json");
+            
+            using var response = await this.httpClient.SendAsync(request, token);
+            var responseBody = response.Content.ReadAsStringAsync(token).Result;
+        
+            if (!response.IsSuccessStatusCode)
+            {
+                this.logger.LogError("Embedding request failed with status code {ResponseStatusCode} and body: '{ResponseBody}'.", response.StatusCode, responseBody);
+                return Array.Empty<IReadOnlyList<float>>();
+            }
+
+            var embeddingResponse = JsonSerializer.Deserialize<EmbeddingResponse>(responseBody, JSON_SERIALIZER_OPTIONS);
+            if (embeddingResponse is { Data: not null })
+            {
+                return embeddingResponse.Data
+                    .Select(d => d.Embedding?.ToArray() ?? Array.Empty<float>())
+                    .Cast<IReadOnlyList<float>>()
+                    .ToArray();
+            }
+            else
+            {
+                this.logger.LogError("Was not able to deserialize the embedding response.");
+                return Array.Empty<IReadOnlyList<float>>();
+            }
+        }
+        catch (Exception e)
+        {
+            this.logger.LogError("Failed to perform embedding request: '{Message}'.", e.Message);
+            return Array.Empty<IReadOnlyList<float>>();
+        }
+    }
+    
     /// <summary>
     /// Parse and convert API parameters from a provided JSON string into a dictionary,
     /// optionally merging additional parameters and removing specific keys.

app/MindWork AI Studio/Provider/DeepSeek/ProviderDeepSeek.cs

@@ -86,6 +86,12 @@ public sealed class ProviderDeepSeek() : BaseProvider(LLMProviders.DEEP_SEEK, "h
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/EmbeddingResponse.cs

@@ -0,0 +1,24 @@
+namespace AIStudio.Provider;
+
+public sealed record EmbeddingResponse
+{
+    public string? Id { get; set; }
+    public string? Object { get; set; }
+    public List<EmbeddingData>? Data { get; set; }
+    public string? Model { get; set; }
+    public Usage? Usage { get; set; }
+}
+
+public sealed record EmbeddingData
+{
+    public string? Object { get; set; }
+    public List<float>? Embedding { get; set; }
+    public int? Index { get; set; }
+}
+
+public sealed record Usage
+{
+    public int? PromptTokens { get; set; }
+    public int? TotalTokens { get; set; }
+    public int? CompletionTokens { get; set; }
+}

app/MindWork AI Studio/Provider/Fireworks/ProviderFireworks.cs

@@ -88,6 +88,12 @@ public class ProviderFireworks() : BaseProvider(LLMProviders.FIREWORKS, "https:/
         var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.TRANSCRIPTION_PROVIDER);
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

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

@@ -87,6 +87,12 @@ public sealed class ProviderGWDG() : BaseProvider(LLMProviders.GWDG, "https://ch
         var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.TRANSCRIPTION_PROVIDER);
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Google/ProviderGoogle.cs

@@ -87,6 +87,78 @@ public class ProviderGoogle() : BaseProvider(LLMProviders.GOOGLE, "https://gener
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        try
+        {
+            var modelName = embeddingModel.Id;
+            if (string.IsNullOrWhiteSpace(modelName))
+            {
+                LOGGER.LogError("No model name provided for embedding request.");
+                return Array.Empty<IReadOnlyList<float>>();
+            }
+
+            if (modelName.StartsWith("models/", StringComparison.OrdinalIgnoreCase))
+                modelName = modelName.Substring("models/".Length);
+
+            if (!requestedSecret.Success)
+            {
+                LOGGER.LogError("No valid API key available for embedding request.");
+                return Array.Empty<IReadOnlyList<float>>();
+            }
+            
+            // Prepare the Google Gemini embedding request:
+            var payload = new
+            {
+                content = new
+                {
+                    parts = texts.Select(text => new { text }).ToArray()
+                },
+                taskType = "SEMANTIC_SIMILARITY"
+            };
+            var embeddingRequest = JsonSerializer.Serialize(payload, JSON_SERIALIZER_OPTIONS);
+
+            var embedUrl = $"https://generativelanguage.googleapis.com/v1beta/models/{modelName}:embedContent";
+            using var request = new HttpRequestMessage(HttpMethod.Post, embedUrl);
+            request.Headers.Add("x-goog-api-key", await requestedSecret.Secret.Decrypt(ENCRYPTION));
+            
+            // Set the content:
+            request.Content = new StringContent(embeddingRequest, Encoding.UTF8, "application/json");
+            
+            using var response = await this.httpClient.SendAsync(request, token);
+            var responseBody = await response.Content.ReadAsStringAsync(token);
+        
+            if (!response.IsSuccessStatusCode)
+            {
+                LOGGER.LogError("Embedding request failed with status code {ResponseStatusCode} and body: '{ResponseBody}'.", response.StatusCode, responseBody);
+                return Array.Empty<IReadOnlyList<float>>();
+            }
+
+            var embeddingResponse = JsonSerializer.Deserialize<GoogleEmbeddingResponse>(responseBody, JSON_SERIALIZER_OPTIONS);
+            
+            if (embeddingResponse is { Embedding: not null })
+            {
+                return embeddingResponse.Embedding
+                    .Select(d => d.Values?.ToArray() ?? Array.Empty<float>())
+                    .Cast<IReadOnlyList<float>>()
+                    .ToArray();
+            }
+            else
+            {
+                LOGGER.LogError("Was not able to deserialize the embedding response.");
+                return Array.Empty<IReadOnlyList<float>>();
+            }
+            
+        }
+        catch (Exception e)
+        {
+            LOGGER.LogError("Failed to perform embedding request: '{Message}'.", e.Message);
+            return Array.Empty<IReadOnlyList<float>>();
+        }
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Provider.Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
@@ -150,4 +222,14 @@ public class ProviderGoogle() : BaseProvider(LLMProviders.GOOGLE, "https://gener
         var modelResponse = await response.Content.ReadFromJsonAsync<ModelsResponse>(token);
         return modelResponse;
     }
-}
+
+    private sealed record GoogleEmbeddingResponse
+    {
+        public List<GoogleEmbedding>? Embedding { get; set; }
+    }
+
+    private sealed record GoogleEmbedding
+    {
+        public List<float>? Values { get; set; }
+    }
+}

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

@@ -87,6 +87,12 @@ public class ProviderGroq() : BaseProvider(LLMProviders.GROQ, "https://api.groq.
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Helmholtz/ProviderHelmholtz.cs

@@ -86,6 +86,13 @@ public sealed class ProviderHelmholtz() : BaseProvider(LLMProviders.HELMHOLTZ, "
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/HuggingFace/ProviderHuggingFace.cs

@@ -91,6 +91,12 @@ public sealed class ProviderHuggingFace : BaseProvider
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/IProvider.cs

@@ -59,6 +59,16 @@ public interface IProvider
     /// <param name="token">The cancellation token.</param>
     /// <returns>>The transcription result.</returns>
     public Task<string> TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default);
+        
+    /// <summary>
+    /// Embed a text file.
+    /// </summary>
+    /// <param name="embeddingModel">The model to use for embedding.</param>
+    /// <param name="settingsManager">The settings manager instance to use.</param>
+    /// <param name="token">The cancellation token.</param>
+    /// /// <param name="texts">A single string or a list of strings to embed.</param>
+    /// <returns>>The embedded text as a single vector or as a list of vectors.</returns>
+    public Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts);
     
     /// <summary>
     /// Load all possible text models that can be used with this provider.

app/MindWork AI Studio/Provider/Mistral/ProviderMistral.cs

@@ -89,6 +89,13 @@ public sealed class ProviderMistral() : BaseProvider(LLMProviders.MISTRAL, "http
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, token: token);
     }
 
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
+
     /// <inheritdoc />
     public override async Task<IEnumerable<Provider.Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
     {

app/MindWork AI Studio/Provider/NoProvider.cs

@@ -40,6 +40,8 @@ public class NoProvider : IProvider
 
     public Task<string> TranscribeAudioAsync(Model transcriptionModel, string audioFilePath, SettingsManager settingsManager, CancellationToken token = default) => Task.FromResult(string.Empty);
     
+    public Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts) => Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+
     public IReadOnlyCollection<Capability> GetModelCapabilities(Model model) => [ Capability.NONE ];
 
     #endregion

app/MindWork AI Studio/Provider/OpenAI/ProviderOpenAI.cs

@@ -224,6 +224,13 @@ public sealed class ProviderOpenAI() : BaseProvider(LLMProviders.OPEN_AI, "https
         var requestedSecret = await 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(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/OpenRouter/ProviderOpenRouter.cs

@@ -94,6 +94,13 @@ public sealed class ProviderOpenRouter() : BaseProvider(LLMProviders.OPEN_ROUTER
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/Perplexity/ProviderPerplexity.cs

@@ -94,6 +94,12 @@ public sealed class ProviderPerplexity() : BaseProvider(LLMProviders.PERPLEXITY,
     {
         return Task.FromResult(string.Empty);
     }
+    
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
 
     /// <inheritdoc />
     public override Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)

app/MindWork AI Studio/Provider/SelfHosted/HostExtensions.cs

@@ -30,6 +30,11 @@ public static class HostExtensions
         _ => "audio/transcriptions",
     };
     
+    public static string EmbeddingURL(this Host host) => host switch
+    {
+        _ => "embeddings",
+    };
+    
     public static bool IsChatSupported(this Host host)
     {
         switch (host)

app/MindWork AI Studio/Provider/SelfHosted/ProviderSelfHosted.cs

@@ -95,6 +95,13 @@ public sealed class ProviderSelfHosted(Host host, string hostname) : BaseProvide
         return await this.PerformStandardTranscriptionRequest(requestedSecret, transcriptionModel, audioFilePath, host, token);
     }
     
+    /// <inhertidoc />
+    public override async Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        var requestedSecret = await RUST_SERVICE.GetAPIKey(this, SecretStoreType.EMBEDDING_PROVIDER);
+        return await this.PerformStandardTextEmbeddingRequest(requestedSecret, embeddingModel, token: token, texts: texts);
+    }
+    
     public override async Task<IEnumerable<Provider.Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
     {
         try

app/MindWork AI Studio/Provider/X/ProviderX.cs

@@ -88,6 +88,12 @@ public sealed class ProviderX() : BaseProvider(LLMProviders.X, "https://api.x.ai
         return Task.FromResult(string.Empty);
     }
     
+    /// <inhertidoc />
+    public override Task<IReadOnlyList<IReadOnlyList<float>>> EmbedTextAsync(Provider.Model embeddingModel, SettingsManager settingsManager, CancellationToken token = default, params List<string> texts)
+    {
+        return Task.FromResult<IReadOnlyList<IReadOnlyList<float>>>(Array.Empty<IReadOnlyList<float>>());
+    }
+    
     /// <inheritdoc />
     public override async Task<IEnumerable<Model>> GetTextModels(string? apiKeyProvisional = null, CancellationToken token = default)
     {