Back to "Aufbau eines "Rechtsanwalts GPT" für Ihr Blog - Teil 5: Der Windows Client"

This is a viewer only at the moment see the article on how this works.

To update the preview hit Ctrl-Alt-R (or ⌘-Alt-R on Mac) or Enter to refresh. The Save icon lets you save the markdown file to disk

# Aufbau eines "Rechtsanwalts GPT" für Ihr Blog - Teil 5: Der Windows Client

<datetime class="hidden">2025-11-12T22:45</datetime>

WARNUNG: DIESE SIND ENTWICKLUNGSSTELLEN, DIE "ESCAPED" SIND.

Es ist wahrscheinlich viel von dem, was unten ist, wird nicht funktionieren; Ich generiere diese als how-to für ME und dann tun Sie alle Schritte und bekommen die Beispiel-App funktioniert...Sie haben hinterhältig und sie gesehen! sie werden wahrscheinlich bereit sein Mitte Dezember.

<img src="https://media1.tenor.com/m/_rQc7PIEqwQAAAAd/cat-hello-cat-peek.gif" height="300px" />
## Einleitung

Willkommen in Teil 5![Wir haben die gesamte Ingestions-Pipeline gebaut (](/blog/building-a-lawyer-gpt-for-your-blog-part4)Teil 4[), verstehen Einbettungen und Vektorsuche (](/blog/building-a-lawyer-gpt-for-your-blog-part3)Teil 3[), und haben unsere GPU bereit (](/blog/building-a-lawyer-gpt-for-your-blog-part2)Teil 2

Jetzt ist es Zeit, die eigentliche Schreibassistenten-Schnittstelle zu bauen - der Windows-Client, wo Sie Blog-Beiträge mit AI-powered Vorschläge schreiben.[HINWEIS: Dies ist Teil meiner Experimente mit KI (unterstützter Entwurf) + meiner eigenen Bearbeitung.](https://github.com/features/copilot)Dieselbe Stimme, derselbe Pragmatismus; nur schnellere Finger.[Denken Sie an](https://code.visualstudio.com/)GitHub Copilot

[TOC]

## oder die neuen KI-Features in

VS-Code

### - aber für Blog-Schreiben.

Beim Tippen durchsucht das System Ihre bisherigen Beiträge semantisch und bietet relevante Vorschläge, Code-Snippets und interne Links.
|---------|-----|----------|------|
| **Auswahl des UI-Rahmens**Wir haben drei Hauptoptionen für den Aufbau einer modernen Windows-Desktop-App in C#:
| **Rahmenvergleich**Funktion WPF-Avalonia-MAUI-MAUI-MAUI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVAL-MAVALI-MAVALI-MAVALI-MAVALI-MAVAL-MAVALI-MAVALI-MAVal-MA
| **Plattform**Nur für Windows plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend
| **Fälligkeit**Sehr reife (2006)-Reife (2016)-Neu (2022)-
| **XAML-Unterstützung**Vollständiger (kompatibler) Unterschiedlicher Geschmack
| **Leistung**Ausgezeichnet Hervorragend Gut
| **UI Bibliotheken**Viele (Materialdesign, ModernWPF)

**Curve lernen[Mäßig Leicht (wenn WPF kennen) Mäßig](https://avaloniaui.net/)**

Ökosystem

- Groß, groß, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, groß, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, groß, klein, klein, klein, klein, klein, klein, klein, groß, klein, klein, klein, klein, klein, klein, klein groß, klein, klein, klein, klein, klein, klein, klein groß, klein, klein, klein, klein, klein groß, klein, klein, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein, klein groß, klein, klein groß, klein groß, klein groß groß, klein groß, klein groß groß groß groß, klein groß, klein groß groß groß groß groß, klein groß groß groß groß groß groß groß groß groß groß, klein groß groß groß groß, klein groß, klein groß, klein groß, klein, klein groß, klein groß groß groß groß groß groß groß, klein groß, klein groß groß, klein groß, klein groß, klein groß, klein groß groß groß groß groß groß groß, klein groß, klein groß, klein groß
- Meine Wahl:
- [Avalonien](https://docs.microsoft.com/en-us/dotnet/desktop/wpf/)Warum?
- Plattformübergreifend (kann bei Bedarf auf Linux/Mac ausgeführt werden)
- Modern, aktiv entwickelt

WPF

## -kompatibel XAML (einfach zu lernen)

```mermaid
graph TB
    A[MainWindow] --> B[Editor Panel]
    A --> C[Suggestions Panel]
    A --> D[Search Panel]

B --> E[AvalonEdit Component]
    B --> F[Markdown Preview]

C --> G[Similar Posts List]
    C --> H[Code Snippets]
    C --> I[Suggested Links]

D --> J[Semantic Search]
    D --> K[Keyword Filter]

L[Services Layer] --> M[EmbeddingService]
    L --> N[VectorSearchService]
    L --> O[LLMService]

B --> L
    C --> L
    D --> L

class A mainWindow
    class B,C ui
    class L services

classDef mainWindow stroke:#333,stroke-width:4px
    classDef ui stroke:#333,stroke-width:2px
    classDef services stroke:#333,stroke-width:2px
```

**Gute Leistung**:

1. **Wachsendes Ökosystem**Aber die Konzepte gelten auch für WPF - ich beachte WPF Alternativen, wo sie sich unterscheiden.
2. **Anwendungsarchitektur**Schlüsselkomponenten
3. **Hauptfenster**- Shell mit Menü, Statusleiste
4. **Editor-Panel**- Wo Sie schreiben (Markdown-Editor)
5. **Gruppe "Vorschläge"**- KI-powered Vorschläge

## Suchfeld

```bash
# Create Avalonia MVVM application
dotnet new install Avalonia.Templates
dotnet new avalonia.mvvm -n Mostlylucid.BlogLLM.Client

cd Mostlylucid.BlogLLM.Client

# Add necessary packages (latest versions)
dotnet add package AvaloniaEdit
dotnet add package Markdown.Avalonia
dotnet add package CommunityToolkit.Mvvm

# Add references to our core library
dotnet add reference ../Mostlylucid.BlogLLM.Core
```

## - Semantische Suchschnittstelle

### Dienstleistungsebene

```xml
<Window xmlns="https://github.com/avaloniaui"
        xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
        xmlns:vm="using:Mostlylucid.BlogLLM.Client.ViewModels"
        xmlns:views="using:Mostlylucid.BlogLLM.Client.Views"
        x:Class="Mostlylucid.BlogLLM.Client.Views.MainWindow"
        x:DataType="vm:MainWindowViewModel"
        Title="Blog Writing Assistant"
        Width="1400" Height="900">

<Design.DataContext>
        <vm:MainWindowViewModel />
    </Design.DataContext>

<Grid Grid.Row="1" ColumnDefinitions="2*,*">
            
            <Border Grid.Column="0" BorderBrush="LightGray" BorderThickness="0,0,1,0">
                <views:EditorView DataContext="{Binding EditorViewModel}" />
            </Border>

<Border Grid.Column="1">
                <views:SuggestionsView DataContext="{Binding SuggestionsViewModel}" />
            </Border>
        </Grid>

<Border Grid.Row="2" Background="WhiteSmoke" Padding="8,4">
            <Grid ColumnDefinitions="*,Auto,Auto,Auto">
                <TextBlock Grid.Column="0" Text="{Binding StatusMessage}" />
                <TextBlock Grid.Column="1" Text="{Binding WordCount, StringFormat='Words: {0}'}" Margin="10,0" />
                <TextBlock Grid.Column="2" Text="{Binding CharCount, StringFormat='Chars: {0}'}" Margin="10,0" />
                <ProgressBar Grid.Column="3"
                             Width="100"
                             Height="16"
                             IsVisible="{Binding IsProcessing}"
                             IsIndeterminate="True" />
            </Grid>
        </Border>
    </Grid>
</Window>
```

### - Backend-Integration

```csharp
using CommunityToolkit.Mvvm.ComponentModel;
using CommunityToolkit.Mvvm.Input;
using Mostlylucid.BlogLLM.Client.Services;
using System.Threading.Tasks;

namespace Mostlylucid.BlogLLM.Client.ViewModels
{
    public partial class MainWindowViewModel : ViewModelBase
    {
        private readonly IEditorService _editorService;
        private readonly ISuggestionService _suggestionService;

[ObservableProperty]
        private EditorViewModel _editorViewModel;

[ObservableProperty]
        private SuggestionsViewModel _suggestionsViewModel;

[ObservableProperty]
        private string _statusMessage = "Ready";

[ObservableProperty]
        private int _wordCount;

[ObservableProperty]
        private int _charCount;

[ObservableProperty]
        private bool _isProcessing;

public MainWindowViewModel(
            IEditorService editorService,
            ISuggestionService suggestionService)
        {
            _editorService = editorService;
            _suggestionService = suggestionService;

EditorViewModel = new EditorViewModel(editorService);
            SuggestionsViewModel = new SuggestionsViewModel(suggestionService);

// Subscribe to editor changes
            EditorViewModel.PropertyChanged += (s, e) =>
            {
                if (e.PropertyName == nameof(EditorViewModel.Text))
                {
                    UpdateStatistics();
                    _ = GenerateSuggestionsAsync();
                }
            };
        }

[RelayCommand]
        private async Task NewPost()
        {
            EditorViewModel.Text = GenerateNewPostTemplate();
            StatusMessage = "New post created";
        }

[RelayCommand]
        private async Task OpenPost()
        {
            var dialog = new OpenFileDialog
            {
                Filters = new List<FileDialogFilter>
                {
                    new FileDialogFilter { Name = "Markdown", Extensions = { "md" } }
                }
            };

var result = await dialog.ShowAsync(GetMainWindow());
            if (result != null && result.Length > 0)
            {
                EditorViewModel.Text = await File.ReadAllTextAsync(result[0]);
                StatusMessage = $"Opened: {Path.GetFileName(result[0])}";
            }
        }

[RelayCommand]
        private async Task Save()
        {
            var dialog = new SaveFileDialog
            {
                Filters = new List<FileDialogFilter>
                {
                    new FileDialogFilter { Name = "Markdown", Extensions = { "md" } }
                },
                DefaultExtension = "md"
            };

var result = await dialog.ShowAsync(GetMainWindow());
            if (!string.IsNullOrEmpty(result))
            {
                await File.WriteAllTextAsync(result, EditorViewModel.Text);
                StatusMessage = $"Saved: {Path.GetFileName(result)}";
            }
        }

[RelayCommand]
        private async Task GenerateSuggestions()
        {
            IsProcessing = true;
            StatusMessage = "Generating suggestions...";

try
            {
                var currentText = EditorViewModel.Text;
                await SuggestionsViewModel.GenerateSuggestionsAsync(currentText);
                StatusMessage = "Suggestions generated";
            }
            catch (Exception ex)
            {
                StatusMessage = $"Error: {ex.Message}";
            }
            finally
            {
                IsProcessing = false;
            }
        }

private void UpdateStatistics()
        {
            var text = EditorViewModel.Text ?? string.Empty;
            CharCount = text.Length;
            WordCount = text.Split(new[] { ' ', '\n', '\r', '\t' },
                StringSplitOptions.RemoveEmptyEntries).Length;
        }

private string GenerateNewPostTemplate()
        {
            var today = DateTime.Now.ToString("yyyy-MM-ddTHH:mm");
            return $@"# New Blog Post

<datetime class=""hidden"">{today}</datetime>

## Introduction

Write your introduction here...

[TOC]

## Section 1

Content here...
";
        }

private Window GetMainWindow() =>
            (Application.Current?.ApplicationLifetime as IClassicDesktopStyleApplicationLifetime)
                ?.MainWindow ?? throw new InvalidOperationException();
    }
}
```

## Projekt-Einrichtung

Hauptfenster-Layout**[XAML-Struktur](https://github.com/AvaloniaUI/AvaloniaEdit)**MainWindowViewModel

### Editor-Komponente

```xml
<UserControl xmlns="https://github.com/avaloniaui"
             xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
             xmlns:avalonEdit="clr-namespace:AvaloniaEdit;assembly=AvaloniaEdit"
             x:Class="Mostlylucid.BlogLLM.Client.Views.EditorView">

<avalonEdit:TextEditor Grid.Row="1"
                               Name="Editor"
                               FontFamily="Consolas,Courier New"
                               FontSize="14"
                               ShowLineNumbers="True"
                               WordWrap="True"
                               Document="{Binding Document}"
                               SyntaxHighlighting="MarkDown" />

<Border Grid.Row="2" BorderBrush="LightGray" BorderThickness="0,1,0,0">
            <ScrollViewer>
                <MarkdownScrollViewer Markdown="{Binding Text}"
                                    Margin="10"
                                    Background="White" />
            </ScrollViewer>
        </Border>
    </Grid>
</UserControl>
```

### Wir werden es benutzen.

```csharp
using AvaloniaEdit.Document;
using CommunityToolkit.Mvvm.ComponentModel;
using CommunityToolkit.Mvvm.Input;

namespace Mostlylucid.BlogLLM.Client.ViewModels
{
    public partial class EditorViewModel : ViewModelBase
    {
        private readonly IEditorService _editorService;

[ObservableProperty]
        private TextDocument _document = new();

[ObservableProperty]
        private string _text = string.Empty;

[ObservableProperty]
        private int _caretOffset;

public EditorViewModel(IEditorService editorService)
        {
            _editorService = editorService;

// Sync Document and Text
            Document.TextChanged += (s, e) =>
            {
                Text = Document.Text;
            };
        }

[RelayCommand]
        private void InsertBold()
        {
            InsertMarkdownWrapper("**", "**", "bold text");
        }

[RelayCommand]
        private void InsertItalic()
        {
            InsertMarkdownWrapper("*", "*", "italic text");
        }

[RelayCommand]
        private void InsertCode()
        {
            InsertMarkdownWrapper("`", "`", "code");
        }

[RelayCommand]
        private void InsertHeading(string level)
        {
            var headingMarker = new string('#', int.Parse(level));
            Document.Insert(CaretOffset, $"{headingMarker} Heading {level}\n");
        }

[RelayCommand]
        private void InsertLink()
        {
            InsertMarkdownWrapper("[", "](url)", "link text");
        }

[RelayCommand]
        private void InsertImage()
        {
            Document.Insert(CaretOffset, "![alt text](image-url.png)");
        }

private void InsertMarkdownWrapper(string before, string after, string placeholder)
        {
            var selectedText = GetSelectedText();

if (string.IsNullOrEmpty(selectedText))
            {
                Document.Insert(CaretOffset, $"{before}{placeholder}{after}");
            }
            else
            {
                var selectionStart = Document.GetOffset(Document.GetLocation(CaretOffset));
                Document.Replace(selectionStart, selectedText.Length, $"{before}{selectedText}{after}");
            }
        }

private string GetSelectedText()
        {
            // This would get actual selection from AvalonEdit
            // Simplified for example
            return string.Empty;
        }
    }
}
```

## AvalonEdit

- eine leistungsstarke Texteditor-Komponente mit Syntax-Hervorhebung.

### EditorView.axaml

```xml
<UserControl xmlns="https://github.com/avaloniaui"
             xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
             x:Class="Mostlylucid.BlogLLM.Client.Views.SuggestionsView">

<TabItem Header="Code Snippets">
            <Grid RowDefinitions="Auto,*">
                <TextBlock Grid.Row="0"
                           Text="Relevant code from past posts:"
                           FontWeight="Bold"
                           Margin="5" />

<TabItem Header="AI Suggestions">
            <Grid RowDefinitions="Auto,*,Auto">
                <TextBlock Grid.Row="0"
                           Text="AI-generated suggestions:"
                           FontWeight="Bold"
                           Margin="5" />

<Button Grid.Row="2"
                        Content="Generate New Suggestion"
                        Command="{Binding RegenerateSuggestionCommand}"
                        Margin="5" />
            </Grid>
        </TabItem>
    </TabControl>
</UserControl>
```

### EditorViewModel

```csharp
using CommunityToolkit.Mvvm.ComponentModel;
using CommunityToolkit.Mvvm.Input;
using Mostlylucid.BlogLLM.Client.Models;
using Mostlylucid.BlogLLM.Client.Services;
using System.Collections.ObjectModel;

namespace Mostlylucid.BlogLLM.Client.ViewModels
{
    public partial class SuggestionsViewModel : ViewModelBase
    {
        private readonly ISuggestionService _suggestionService;

[ObservableProperty]
        private ObservableCollection<SimilarPost> _similarPosts = new();

[ObservableProperty]
        private ObservableCollection<CodeSnippet> _codeSnippets = new();

[ObservableProperty]
        private string _aiSuggestion = string.Empty;

[ObservableProperty]
        private SimilarPost? _selectedPost;

[ObservableProperty]
        private int _similarPostsCount;

public SuggestionsViewModel(ISuggestionService suggestionService)
        {
            _suggestionService = suggestionService;
        }

public async Task GenerateSuggestionsAsync(string currentText)
        {
            // Extract last few sentences as context
            var context = ExtractContext(currentText);

// Search for similar posts
            var similarPosts = await _suggestionService.FindSimilarPostsAsync(context);
            SimilarPosts.Clear();
            foreach (var post in similarPosts)
            {
                SimilarPosts.Add(post);
            }
            SimilarPostsCount = SimilarPosts.Count;

// Extract code snippets from similar posts
            var codeSnippets = await _suggestionService.ExtractCodeSnippetsAsync(similarPosts);
            CodeSnippets.Clear();
            foreach (var snippet in codeSnippets)
            {
                CodeSnippets.Add(snippet);
            }

// Generate AI suggestion (we'll implement this in Part 6)
            // AiSuggestion = await _suggestionService.GenerateAiSuggestionAsync(currentText, similarPosts);
        }

[RelayCommand]
        private void InsertLink(SimilarPost post)
        {
            var link = $"[{post.Title}](/blog/{post.Slug}#{post.SectionHeading.ToLower().Replace(" ", "-")})";
            // Notify EditorViewModel to insert link
            WeakReferenceMessenger.Default.Send(new InsertTextMessage(link));
        }

[RelayCommand]
        private void ViewPost(SimilarPost post)
        {
            // Open in browser
            var url = $"https://www.mostlylucid.net/blog/{post.Slug}";
            Process.Start(new ProcessStartInfo { FileName = url, UseShellExecute = true });
        }

[RelayCommand]
        private void InsertCode(CodeSnippet snippet)
        {
            var code = $"```{snippet.Language}\n{snippet.Code}\n```";
            WeakReferenceMessenger.Default.Send(new InsertTextMessage(code));
        }

[RelayCommand]
        private async Task RegenerateSuggestion()
        {
            // To be implemented in Part 6 with LLM integration
            AiSuggestion = "AI suggestions will be available in Part 6...";
        }

private string ExtractContext(string text, int sentences = 3)
        {
            // Get last N sentences as context for search
            var sentenceEndings = new[] { '.', '!', '?' };
            var sentences_found = 0;
            var index = text.Length - 1;

while (index >= 0 && sentences_found < sentences)
            {
                if (sentenceEndings.Contains(text[index]))
                {
                    sentences_found++;
                }
                index--;
            }

return index < 0 ? text : text.Substring(index + 1).Trim();
        }
    }
}
```

## Gruppe "Vorschläge"

### Hier geschieht die KI-Magie - zeigt semantisch ähnliche Beiträge und Vorschläge.

```csharp
using Mostlylucid.BlogLLM.Client.Models;

namespace Mostlylucid.BlogLLM.Client.Services
{
    public interface ISuggestionService
    {
        Task<List<SimilarPost>> FindSimilarPostsAsync(string context);
        Task<List<CodeSnippet>> ExtractCodeSnippetsAsync(List<SimilarPost> posts);
        Task<string> GenerateAiSuggestionAsync(string currentText, List<SimilarPost> context);
    }
}
```

### VorschlägeView.axaml

```csharp
using Mostlylucid.BlogLLM.Client.Models;
using Mostlylucid.BlogLLM.Core.Services;

namespace Mostlylucid.BlogLLM.Client.Services
{
    public class SuggestionService : ISuggestionService
    {
        private readonly BatchEmbeddingService _embeddingService;
        private readonly QdrantVectorStore _vectorStore;

public SuggestionService(
            BatchEmbeddingService embeddingService,
            QdrantVectorStore vectorStore)
        {
            _embeddingService = embeddingService;
            _vectorStore = vectorStore;
        }

public async Task<List<SimilarPost>> FindSimilarPostsAsync(string context)
        {
            // Generate embedding for context
            var embedding = _embeddingService.GenerateEmbedding(context);

// Search vector database
            var results = await _vectorStore.SearchAsync(
                queryEmbedding: embedding,
                limit: 10,
                languageFilter: "en"
            );

// Convert to SimilarPost models
            return results.Select(r => new SimilarPost
            {
                Slug = r.BlogPostSlug,
                Title = r.BlogPostTitle,
                SectionHeading = r.SectionHeading,
                Preview = r.Text.Length > 200 ? r.Text.Substring(0, 200) + "..." : r.Text,
                FullText = r.Text,
                Score = r.Score
            }).ToList();
        }

public async Task<List<CodeSnippet>> ExtractCodeSnippetsAsync(List<SimilarPost> posts)
        {
            var snippets = new List<CodeSnippet>();

foreach (var post in posts)
            {
                // Extract code blocks from markdown
                var codeBlocks = ExtractCodeBlocks(post.FullText);
                snippets.AddRange(codeBlocks);
            }

// Deduplicate and return top 5
            return snippets
                .GroupBy(s => s.Code)
                .Select(g => g.First())
                .Take(5)
                .ToList();
        }

public async Task<string> GenerateAiSuggestionAsync(string currentText, List<SimilarPost> context)
        {
            // This will be implemented in Part 6 with LLM integration
            await Task.CompletedTask;
            return "AI generation coming in Part 6...";
        }

private List<CodeSnippet> ExtractCodeBlocks(string markdown)
        {
            var snippets = new List<CodeSnippet>();
            var regex = new Regex(@"```(\w+)\n(.*?)\n```", RegexOptions.Singleline);
            var matches = regex.Matches(markdown);

foreach (Match match in matches)
            {
                snippets.Add(new CodeSnippet
                {
                    Language = match.Groups[1].Value,
                    Code = match.Groups[2].Value.Trim()
                });
            }

return snippets;
        }
    }
}
```

## VorschlägeViewModel

```csharp
namespace Mostlylucid.BlogLLM.Client.Models
{
    public class SimilarPost
    {
        public string Slug { get; set; } = string.Empty;
        public string Title { get; set; } = string.Empty;
        public string SectionHeading { get; set; } = string.Empty;
        public string Preview { get; set; } = string.Empty;
        public string FullText { get; set; } = string.Empty;
        public float Score { get; set; }
    }

public class CodeSnippet
    {
        public string Language { get; set; } = string.Empty;
        public string Code { get; set; } = string.Empty;
    }

public record InsertTextMessage(string Text);
}
```

## Dienstleistungsebene

### ISuggestionService

```csharp
using Avalonia;
using Avalonia.Controls.ApplicationLifetimes;
using Avalonia.Markup.Xaml;
using Microsoft.Extensions.DependencyInjection;
using Mostlylucid.BlogLLM.Client.Services;
using Mostlylucid.BlogLLM.Client.ViewModels;
using Mostlylucid.BlogLLM.Client.Views;
using Mostlylucid.BlogLLM.Core.Services;

namespace Mostlylucid.BlogLLM.Client
{
    public partial class App : Application
    {
        public IServiceProvider Services { get; private set; } = null!;

public override void Initialize()
        {
            AvaloniaXamlLoader.Load(this);
        }

public override void OnFrameworkInitializationCompleted()
        {
            // Setup DI
            var services = new ServiceCollection();

// Register core services
            services.AddSingleton(_ => new BatchEmbeddingService(
                modelPath: "C:\\models\\bge-base-en-onnx\\model.onnx",
                tokenizerPath: "C:\\models\\bge-base-en-onnx\\tokenizer.json",
                useGpu: true
            ));

services.AddSingleton(_ => new QdrantVectorStore(
                host: "localhost",
                port: 6334
            ));

// Register app services
            services.AddSingleton<IEditorService, EditorService>();
            services.AddSingleton<ISuggestionService, SuggestionService>();

// Register ViewModels
            services.AddTransient<MainWindowViewModel>();
            services.AddTransient<EditorViewModel>();
            services.AddTransient<SuggestionsViewModel>();

Services = services.BuildServiceProvider();

// Create main window
            if (ApplicationLifetime is IClassicDesktopStyleApplicationLifetime desktop)
            {
                desktop.MainWindow = new MainWindow
                {
                    DataContext = Services.GetRequiredService<MainWindowViewModel>()
                };
            }

base.OnFrameworkInitializationCompleted();
        }
    }
}
```

## Umsetzung des VorschlagsService

```bash
dotnet run
```

Modelle

- **Einrichtung der Abhängigkeitsinjektion**App.axaml.cs
- **Die Anwendung ausführen**Sie sollten sehen:
- **Linke Platte**: Markdown-Editor mit Symbolleiste und Live-Vorschau

Rechte Seite

## : Ähnliche Beiträge basierend auf dem, was Sie schreiben

### Statusleiste

: Wort/Zeichenzahl und Verarbeitungsindikator

```csharp
public partial class EditorViewModel : ViewModelBase
{
    private System.Timers.Timer _searchDebounceTimer;
    private const int DebounceMs = 500;

public EditorViewModel(IEditorService editorService)
    {
        _editorService = editorService;

_searchDebounceTimer = new System.Timers.Timer(DebounceMs);
        _searchDebounceTimer.AutoReset = false;
        _searchDebounceTimer.Elapsed += async (s, e) =>
        {
            await GenerateSuggestionsAsync();
        };

Document.TextChanged += (s, e) =>
        {
            Text = Document.Text;

// Restart debounce timer
            _searchDebounceTimer.Stop();
            _searchDebounceTimer.Start();
        };
    }

private async Task GenerateSuggestionsAsync()
    {
        var context = ExtractContext(Text);
        await Dispatcher.UIThread.InvokeAsync(async () =>
        {
            await SuggestionsViewModel.GenerateSuggestionsAsync(context);
        });
    }
}
```

### Wie Sie tippen, die Vorschläge Panel-Updates in Echtzeit mit semantisch ähnliche Inhalte aus Ihrem Blog!

Leistungsoptimierung

```csharp
public class EmbeddingCache
{
    private readonly Dictionary<string, (float[] embedding, DateTime timestamp)> _cache = new();
    private const int MaxCacheSize = 100;
    private readonly TimeSpan _cacheExpiration = TimeSpan.FromMinutes(10);

public bool TryGet(string text, out float[] embedding)
    {
        if (_cache.TryGetValue(text, out var cached))
        {
            if (DateTime.Now - cached.timestamp < _cacheExpiration)
            {
                embedding = cached.embedding;
                return true;
            }
            _cache.Remove(text);
        }

embedding = null;
        return false;
    }

public void Set(string text, float[] embedding)
    {
        if (_cache.Count >= MaxCacheSize)
        {
            // Remove oldest
            var oldest = _cache.OrderBy(kv => kv.Value.timestamp).First();
            _cache.Remove(oldest.Key);
        }

_cache[text] = (embedding, DateTime.Now);
    }
}
```

## Suche debouncing

Suchen Sie nicht auf jedem Tastendruck - warten Sie auf Pause:

1. ✅ [Caching-Einbetten](https://avaloniaui.net/)Cache-Einbettungen für kürzlich eingegebene Kontexte:
2. ✅ Markdown editor with live preview ([Zusammenfassung](https://github.com/AvaloniaUI/AvaloniaEdit))
3. ✅ Real-time semantic search as you type
4. ✅ Suggestions panel showing similar posts
5. ✅ Code snippet extraction and insertion
6. ✅ Link generation to related posts
7. ✅ Debounced search for performance
8. ✅ Dependency injection architecture

## Wir haben einen kompletten Windows-Client gebaut mit:

Avalonien**[UI-Framework mit MVVM-Muster](/blog/building-a-lawyer-gpt-for-your-blog-part6)**AvalonEdit

- Was kommt als Nächstes?[Im](https://github.com/SciSharp/LLamaSharp)Teil 6: Lokale LLM-Integration
- Wir integrieren lokale LLM-Schlussfolgerungen:
- [Einrichtung](https://github.com/ggerganov/ggml/blob/master/docs/gguf.md)LLamaSharp
- für lokale Modellausführung
- Download und Quantifizierung von Modellen (Llama 2, Mistral)
- GGUF-Format

und Quantisierung erklärt

## Inferenz auf A4000 GPU laufen lassen

- [Erzeugen von tatsächlichen Schreibvorschlägen](/blog/building-a-lawyer-gpt-for-your-blog-part1)
- [Prompt Engineering für Blog-Schreiben](/blog/building-a-lawyer-gpt-for-your-blog-part2)
- [Endlich sehen wir KI-generierte Vorschläge im Panel!](/blog/building-a-lawyer-gpt-for-your-blog-part3)
- [Reihennavigation](/blog/building-a-lawyer-gpt-for-your-blog-part4)
- **Teil 1: Einführung & Architektur**Teil 2: GPU-Einrichtung und CUDA in C#
- [Teil 3: Einbettungen und Vektordatenbanken verstehen](/blog/building-a-lawyer-gpt-for-your-blog-part6)
- [Teil 4: Aufbau der Ingestion Pipeline](/blog/building-a-lawyer-gpt-for-your-blog-part7)
- [Teil 5: Der Windows Client](/blog/building-a-lawyer-gpt-for-your-blog-part8)

## (dieser Posten)

- [Teil 6: Lokale LLM-Integration](https://docs.avaloniaui.net/)
- [Teil 7: Content Generation & Prompt Engineering](https://github.com/AvaloniaUI/AvaloniaEdit)
- [Teil 8: Fortgeschrittene Funktionen und Produktionsbereitstellung](https://learn.microsoft.com/en-us/dotnet/communitytoolkit/mvvm/)
- [Aufkommen](https://github.com/whistyun/Markdown.Avalonia)

Avalonia Dokumentation[AvaloniaBearbeiten](/blog/building-a-lawyer-gpt-for-your-blog-part6)!

This is a preview from the server running through my markdig pipeline

AI AI-Article Avalonia C# LLM mostlylucid.blogllm WPF

Aufbau eines "Rechtsanwalts GPT" für Ihr Blog - Teil 5: Der Windows Client

Wednesday, 12 November 2025

WARNUNG: DIESE SIND ENTWICKLUNGSSTELLEN, DIE "ESCAPED" SIND.

## Einleitung

Willkommen in Teil 5 Wir haben die gesamte Ingestions-Pipeline gebaut ( Teil 4), verstehen Einbettungen und Vektorsuche (Teil 3), und haben unsere GPU bereit (Teil 2

Jetzt ist es Zeit, die eigentliche Schreibassistenten-Schnittstelle zu bauen - der Windows-Client, wo Sie Blog-Beiträge mit AI-powered Vorschläge schreiben.HINWEIS: Dies ist Teil meiner Experimente mit KI (unterstützter Entwurf) + meiner eigenen Bearbeitung.Dieselbe Stimme, derselbe Pragmatismus; nur schnellere Finger.Denken Sie anGitHub Copilot

oder die neuen KI-Features in

VS-Code

- aber für Blog-Schreiben.

Beim Tippen durchsucht das System Ihre bisherigen Beiträge semantisch und bietet relevante Vorschläge, Code-Snippets und interne Links. |---------|-----|----------|------| | Auswahl des UI-RahmensWir haben drei Hauptoptionen für den Aufbau einer modernen Windows-Desktop-App in C#: | RahmenvergleichFunktion WPF-Avalonia-MAUI-MAUI-MAUI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVALI-MAVAL-MAVALI-MAVALI-MAVALI-MAVALI-MAVAL-MAVALI-MAVALI-MAVal-MA | PlattformNur für Windows plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend plattformübergreifend | FälligkeitSehr reife (2006)-Reife (2016)-Neu (2022)- | XAML-UnterstützungVollständiger (kompatibler) Unterschiedlicher Geschmack | LeistungAusgezeichnet Hervorragend Gut | UI BibliothekenViele (Materialdesign, ModernWPF)

Curve lernenMäßig Leicht (wenn WPF kennen) Mäßig

Ökosystem

Groß, groß, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, groß, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, klein, groß, klein, klein, klein, klein, klein, klein, klein, groß, klein, klein, klein, klein, klein, klein, klein groß, klein, klein, klein, klein, klein, klein, klein groß, klein, klein, klein, klein, klein groß, klein, klein, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein groß, klein, klein groß, klein, klein groß, klein groß, klein groß groß, klein groß, klein groß groß groß groß, klein groß, klein groß groß groß groß groß, klein groß groß groß groß groß groß groß groß groß groß, klein groß groß groß groß, klein groß, klein groß, klein groß, klein, klein groß, klein groß groß groß groß groß groß groß, klein groß, klein groß groß, klein groß, klein groß, klein groß, klein groß groß groß groß groß groß groß, klein groß, klein groß, klein groß
Meine Wahl:
AvalonienWarum?
Plattformübergreifend (kann bei Bedarf auf Linux/Mac ausgeführt werden)
Modern, aktiv entwickelt

WPF

-kompatibel XAML (einfach zu lernen)

graph TB
    A[MainWindow] --> B[Editor Panel]
    A --> C[Suggestions Panel]
    A --> D[Search Panel]

    B --> E[AvalonEdit Component]
    B --> F[Markdown Preview]

    C --> G[Similar Posts List]
    C --> H[Code Snippets]
    C --> I[Suggested Links]

    D --> J[Semantic Search]
    D --> K[Keyword Filter]

    L[Services Layer] --> M[EmbeddingService]
    L --> N[VectorSearchService]
    L --> O[LLMService]

    B --> L
    C --> L
    D --> L

    class A mainWindow
    class B,C ui
    class L services

    classDef mainWindow stroke:#333,stroke-width:4px
    classDef ui stroke:#333,stroke-width:2px
    classDef services stroke:#333,stroke-width:2px

Gute Leistung:

Wachsendes ÖkosystemAber die Konzepte gelten auch für WPF - ich beachte WPF Alternativen, wo sie sich unterscheiden.
AnwendungsarchitekturSchlüsselkomponenten
Hauptfenster- Shell mit Menü, Statusleiste
Editor-Panel- Wo Sie schreiben (Markdown-Editor)
Gruppe "Vorschläge"- KI-powered Vorschläge

Suchfeld

# Create Avalonia MVVM application
dotnet new install Avalonia.Templates
dotnet new avalonia.mvvm -n Mostlylucid.BlogLLM.Client

cd Mostlylucid.BlogLLM.Client

# Add necessary packages (latest versions)
dotnet add package AvaloniaEdit
dotnet add package Markdown.Avalonia
dotnet add package CommunityToolkit.Mvvm

# Add references to our core library
dotnet add reference ../Mostlylucid.BlogLLM.Core

- Semantische Suchschnittstelle

Dienstleistungsebene

<Window xmlns="https://github.com/avaloniaui"
        xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
        xmlns:vm="using:Mostlylucid.BlogLLM.Client.ViewModels"
        xmlns:views="using:Mostlylucid.BlogLLM.Client.Views"
        x:Class="Mostlylucid.BlogLLM.Client.Views.MainWindow"
        x:DataType="vm:MainWindowViewModel"
        Title="Blog Writing Assistant"
        Width="1400" Height="900">

    <Design.DataContext>
        <vm:MainWindowViewModel />
    </Design.DataContext>

    <Grid RowDefinitions="Auto,*,Auto">
        <!-- Menu Bar -->
        <Menu Grid.Row="0">
            <MenuItem Header="_File">
                <MenuItem Header="_New Post" Command="{Binding NewPostCommand}" />
                <MenuItem Header="_Open Post" Command="{Binding OpenPostCommand}" />
                <MenuItem Header="_Save" Command="{Binding SaveCommand}" />
                <Separator />
                <MenuItem Header="E_xit" Command="{Binding ExitCommand}" />
            </MenuItem>
            <MenuItem Header="_Edit">
                <MenuItem Header="_Undo" Command="{Binding UndoCommand}" />
                <MenuItem Header="_Redo" Command="{Binding RedoCommand}" />
            </MenuItem>
            <MenuItem Header="_AI">
                <MenuItem Header="_Generate Suggestions" Command="{Binding GenerateSuggestionsCommand}" />
                <MenuItem Header="_Semantic Search" Command="{Binding OpenSearchCommand}" />
                <MenuItem Header="_Insert Link" Command="{Binding InsertLinkCommand}" />
            </MenuItem>
        </Menu>

        <!-- Main Content - Split View -->
        <Grid Grid.Row="1" ColumnDefinitions="2*,*">
            <!-- Left: Editor -->
            <Border Grid.Column="0" BorderBrush="LightGray" BorderThickness="0,0,1,0">
                <views:EditorView DataContext="{Binding EditorViewModel}" />
            </Border>

            <!-- Right: Suggestions -->
            <Border Grid.Column="1">
                <views:SuggestionsView DataContext="{Binding SuggestionsViewModel}" />
            </Border>
        </Grid>

        <!-- Status Bar -->
        <Border Grid.Row="2" Background="WhiteSmoke" Padding="8,4">
            <Grid ColumnDefinitions="*,Auto,Auto,Auto">
                <TextBlock Grid.Column="0" Text="{Binding StatusMessage}" />
                <TextBlock Grid.Column="1" Text="{Binding WordCount, StringFormat='Words: {0}'}" Margin="10,0" />
                <TextBlock Grid.Column="2" Text="{Binding CharCount, StringFormat='Chars: {0}'}" Margin="10,0" />
                <ProgressBar Grid.Column="3"
                             Width="100"
                             Height="16"
                             IsVisible="{Binding IsProcessing}"
                             IsIndeterminate="True" />
            </Grid>
        </Border>
    </Grid>
</Window>

- Backend-Integration

using CommunityToolkit.Mvvm.ComponentModel;
using CommunityToolkit.Mvvm.Input;
using Mostlylucid.BlogLLM.Client.Services;
using System.Threading.Tasks;

namespace Mostlylucid.BlogLLM.Client.ViewModels
{
    public partial class MainWindowViewModel : ViewModelBase
    {
        private readonly IEditorService _editorService;
        private readonly ISuggestionService _suggestionService;

        [ObservableProperty]
        private EditorViewModel _editorViewModel;

        [ObservableProperty]
        private SuggestionsViewModel _suggestionsViewModel;

        [ObservableProperty]
        private string _statusMessage = "Ready";

        [ObservableProperty]
        private int _wordCount;

        [ObservableProperty]
        private int _charCount;

        [ObservableProperty]
        private bool _isProcessing;

        public MainWindowViewModel(
            IEditorService editorService,
            ISuggestionService suggestionService)
        {
            _editorService = editorService;
            _suggestionService = suggestionService;

            EditorViewModel = new EditorViewModel(editorService);
            SuggestionsViewModel = new SuggestionsViewModel(suggestionService);

            // Subscribe to editor changes
            EditorViewModel.PropertyChanged += (s, e) =>
            {
                if (e.PropertyName == nameof(EditorViewModel.Text))
                {
                    UpdateStatistics();
                    _ = GenerateSuggestionsAsync();
                }
            };
        }

        [RelayCommand]
        private async Task NewPost()
        {
            EditorViewModel.Text = GenerateNewPostTemplate();
            StatusMessage = "New post created";
        }

        [RelayCommand]
        private async Task OpenPost()
        {
            var dialog = new OpenFileDialog
            {
                Filters = new List<FileDialogFilter>
                {
                    new FileDialogFilter { Name = "Markdown", Extensions = { "md" } }
                }
            };

            var result = await dialog.ShowAsync(GetMainWindow());
            if (result != null && result.Length > 0)
            {
                EditorViewModel.Text = await File.ReadAllTextAsync(result[0]);
                StatusMessage = $"Opened: {Path.GetFileName(result[0])}";
            }
        }

        [RelayCommand]
        private async Task Save()
        {
            var dialog = new SaveFileDialog
            {
                Filters = new List<FileDialogFilter>
                {
                    new FileDialogFilter { Name = "Markdown", Extensions = { "md" } }
                },
                DefaultExtension = "md"
            };

            var result = await dialog.ShowAsync(GetMainWindow());
            if (!string.IsNullOrEmpty(result))
            {
                await File.WriteAllTextAsync(result, EditorViewModel.Text);
                StatusMessage = $"Saved: {Path.GetFileName(result)}";
            }
        }

        [RelayCommand]
        private async Task GenerateSuggestions()
        {
            IsProcessing = true;
            StatusMessage = "Generating suggestions...";

            try
            {
                var currentText = EditorViewModel.Text;
                await SuggestionsViewModel.GenerateSuggestionsAsync(currentText);
                StatusMessage = "Suggestions generated";
            }
            catch (Exception ex)
            {
                StatusMessage = $"Error: {ex.Message}";
            }
            finally
            {
                IsProcessing = false;
            }
        }

        private void UpdateStatistics()
        {
            var text = EditorViewModel.Text ?? string.Empty;
            CharCount = text.Length;
            WordCount = text.Split(new[] { ' ', '\n', '\r', '\t' },
                StringSplitOptions.RemoveEmptyEntries).Length;
        }

        private string GenerateNewPostTemplate()
        {
            var today = DateTime.Now.ToString("yyyy-MM-ddTHH:mm");
            return $@"# New Blog Post


<datetime class=""hidden"">{today}</datetime>

## Introduction

Write your introduction here...

[TOC]

## Section 1

Content here...
";
        }

        private Window GetMainWindow() =>
            (Application.Current?.ApplicationLifetime as IClassicDesktopStyleApplicationLifetime)
                ?.MainWindow ?? throw new InvalidOperationException();
    }
}

Projekt-Einrichtung

Hauptfenster-Layout**XAML-Struktur**MainWindowViewModel

Editor-Komponente

<UserControl xmlns="https://github.com/avaloniaui"
             xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
             xmlns:avalonEdit="clr-namespace:AvaloniaEdit;assembly=AvaloniaEdit"
             x:Class="Mostlylucid.BlogLLM.Client.Views.EditorView">

    <Grid RowDefinitions="Auto,*,*">
        <!-- Toolbar -->
        <StackPanel Grid.Row="0" Orientation="Horizontal" Spacing="5" Margin="5">
            <Button Content="Bold" Command="{Binding InsertBoldCommand}" />
            <Button Content="Italic" Command="{Binding InsertItalicCommand}" />
            <Button Content="Code" Command="{Binding InsertCodeCommand}" />
            <Separator />
            <Button Content="H1" Command="{Binding InsertHeadingCommand}" CommandParameter="1" />
            <Button Content="H2" Command="{Binding InsertHeadingCommand}" CommandParameter="2" />
            <Button Content="H3" Command="{Binding InsertHeadingCommand}" CommandParameter="3" />
            <Separator />
            <Button Content="Link" Command="{Binding InsertLinkCommand}" />
            <Button Content="Image" Command="{Binding InsertImageCommand}" />
        </StackPanel>

        <!-- Editor -->
        <avalonEdit:TextEditor Grid.Row="1"
                               Name="Editor"
                               FontFamily="Consolas,Courier New"
                               FontSize="14"
                               ShowLineNumbers="True"
                               WordWrap="True"
                               Document="{Binding Document}"
                               SyntaxHighlighting="MarkDown" />

        <!-- Live Preview -->
        <Border Grid.Row="2" BorderBrush="LightGray" BorderThickness="0,1,0,0">
            <ScrollViewer>
                <MarkdownScrollViewer Markdown="{Binding Text}"
                                    Margin="10"
                                    Background="White" />
            </ScrollViewer>
        </Border>
    </Grid>
</UserControl>

Wir werden es benutzen.

using AvaloniaEdit.Document;
using CommunityToolkit.Mvvm.ComponentModel;
using CommunityToolkit.Mvvm.Input;

namespace Mostlylucid.BlogLLM.Client.ViewModels
{
    public partial class EditorViewModel : ViewModelBase
    {
        private readonly IEditorService _editorService;

        [ObservableProperty]
        private TextDocument _document = new();

        [ObservableProperty]
        private string _text = string.Empty;

        [ObservableProperty]
        private int _caretOffset;

        public EditorViewModel(IEditorService editorService)
        {
            _editorService = editorService;

            // Sync Document and Text
            Document.TextChanged += (s, e) =>
            {
                Text = Document.Text;
            };
        }

        [RelayCommand]
        private void InsertBold()
        {
            InsertMarkdownWrapper("**", "**", "bold text");
        }

        [RelayCommand]
        private void InsertItalic()
        {
            InsertMarkdownWrapper("*", "*", "italic text");
        }

        [RelayCommand]
        private void InsertCode()
        {
            InsertMarkdownWrapper("`", "`", "code");
        }

        [RelayCommand]
        private void InsertHeading(string level)
        {
            var headingMarker = new string('#', int.Parse(level));
            Document.Insert(CaretOffset, $"{headingMarker} Heading {level}\n");
        }

        [RelayCommand]
        private void InsertLink()
        {
            InsertMarkdownWrapper("[", "](url)", "link text");
        }

        [RelayCommand]
        private void InsertImage()
        {
            Document.Insert(CaretOffset, "![alt text](image-url.png)");
        }

        private void InsertMarkdownWrapper(string before, string after, string placeholder)
        {
            var selectedText = GetSelectedText();

            if (string.IsNullOrEmpty(selectedText))
            {
                Document.Insert(CaretOffset, $"{before}{placeholder}{after}");
            }
            else
            {
                var selectionStart = Document.GetOffset(Document.GetLocation(CaretOffset));
                Document.Replace(selectionStart, selectedText.Length, $"{before}{selectedText}{after}");
            }
        }

        private string GetSelectedText()
        {
            // This would get actual selection from AvalonEdit
            // Simplified for example
            return string.Empty;
        }
    }
}

AvalonEdit

eine leistungsstarke Texteditor-Komponente mit Syntax-Hervorhebung.

EditorView.axaml

<UserControl xmlns="https://github.com/avaloniaui"
             xmlns:x="http://schemas.microsoft.com/winfx/2006/xaml"
             x:Class="Mostlylucid.BlogLLM.Client.Views.SuggestionsView">

    <TabControl>
        <!-- Similar Posts -->
        <TabItem Header="Similar Posts">
            <Grid RowDefinitions="Auto,*">
                <StackPanel Grid.Row="0" Margin="5">
                    <TextBlock Text="Related content from your blog:" FontWeight="Bold" />
                    <TextBlock Text="{Binding SimilarPostsCount, StringFormat='{0} posts found'}"
                               FontSize="11" Foreground="Gray" />
                </StackPanel>

                <ListBox Grid.Row="1"
                         ItemsSource="{Binding SimilarPosts}"
                         SelectedItem="{Binding SelectedPost}">
                    <ListBox.ItemTemplate>
                        <DataTemplate>
                            <Border BorderBrush="LightGray"
                                    BorderThickness="1"
                                    Padding="8"
                                    Margin="4"
                                    CornerRadius="4">
                                <StackPanel>
                                    <TextBlock Text="{Binding Title}"
                                               FontWeight="Bold"
                                               TextWrapping="Wrap" />
                                    <TextBlock Text="{Binding SectionHeading}"
                                               FontSize="11"
                                               Foreground="DarkBlue"
                                               Margin="0,2" />
                                    <TextBlock Text="{Binding Preview}"
                                               TextWrapping="Wrap"
                                               MaxHeight="60"
                                               FontSize="12"
                                               Margin="0,4" />
                                    <StackPanel Orientation="Horizontal" Spacing="10" Margin="0,4,0,0">
                                        <TextBlock Text="{Binding Score, StringFormat='Similarity: {0:P0}'}"
                                                   FontSize="11"
                                                   Foreground="Green" />
                                        <Button Content="Insert Link"
                                                Command="{Binding $parent[ListBox].DataContext.InsertLinkCommand}"
                                                CommandParameter="{Binding}"
                                                FontSize="11" />
                                        <Button Content="View"
                                                Command="{Binding $parent[ListBox].DataContext.ViewPostCommand}"
                                                CommandParameter="{Binding}"
                                                FontSize="11" />
                                    </StackPanel>
                                </StackPanel>
                            </Border>
                        </DataTemplate>
                    </ListBox.ItemTemplate>
                </ListBox>
            </Grid>
        </TabItem>

        <!-- Code Snippets -->
        <TabItem Header="Code Snippets">
            <Grid RowDefinitions="Auto,*">
                <TextBlock Grid.Row="0"
                           Text="Relevant code from past posts:"
                           FontWeight="Bold"
                           Margin="5" />

                <ListBox Grid.Row="1" ItemsSource="{Binding CodeSnippets}">
                    <ListBox.ItemTemplate>
                        <DataTemplate>
                            <Border BorderBrush="LightGray"
                                    BorderThickness="1"
                                    Padding="8"
                                    Margin="4"
                                    Background="WhiteSmoke">
                                <StackPanel>
                                    <TextBlock Text="{Binding Language}"
                                               FontFamily="Consolas"
                                               FontSize="11"
                                               Foreground="DarkGray" />
                                    <TextBlock Text="{Binding Code}"
                                               FontFamily="Consolas"
                                               TextWrapping="Wrap"
                                               Margin="0,4" />
                                    <Button Content="Insert"
                                            Command="{Binding $parent[ListBox].DataContext.InsertCodeCommand}"
                                            CommandParameter="{Binding}"
                                            HorizontalAlignment="Right" />
                                </StackPanel>
                            </Border>
                        </DataTemplate>
                    </ListBox.ItemTemplate>
                </ListBox>
            </Grid>
        </TabItem>

        <!-- AI Suggestions -->
        <TabItem Header="AI Suggestions">
            <Grid RowDefinitions="Auto,*,Auto">
                <TextBlock Grid.Row="0"
                           Text="AI-generated suggestions:"
                           FontWeight="Bold"
                           Margin="5" />

                <ScrollViewer Grid.Row="1">
                    <TextBlock Text="{Binding AiSuggestion}"
                               TextWrapping="Wrap"
                               Margin="10"
                               FontSize="13" />
                </ScrollViewer>

                <Button Grid.Row="2"
                        Content="Generate New Suggestion"
                        Command="{Binding RegenerateSuggestionCommand}"
                        Margin="5" />
            </Grid>
        </TabItem>
    </TabControl>
</UserControl>

EditorViewModel

using CommunityToolkit.Mvvm.ComponentModel;
using CommunityToolkit.Mvvm.Input;
using Mostlylucid.BlogLLM.Client.Models;
using Mostlylucid.BlogLLM.Client.Services;
using System.Collections.ObjectModel;

namespace Mostlylucid.BlogLLM.Client.ViewModels
{
    public partial class SuggestionsViewModel : ViewModelBase
    {
        private readonly ISuggestionService _suggestionService;

        [ObservableProperty]
        private ObservableCollection<SimilarPost> _similarPosts = new();

        [ObservableProperty]
        private ObservableCollection<CodeSnippet> _codeSnippets = new();

        [ObservableProperty]
        private string _aiSuggestion = string.Empty;

        [ObservableProperty]
        private SimilarPost? _selectedPost;

        [ObservableProperty]
        private int _similarPostsCount;

        public SuggestionsViewModel(ISuggestionService suggestionService)
        {
            _suggestionService = suggestionService;
        }

        public async Task GenerateSuggestionsAsync(string currentText)
        {
            // Extract last few sentences as context
            var context = ExtractContext(currentText);

            // Search for similar posts
            var similarPosts = await _suggestionService.FindSimilarPostsAsync(context);
            SimilarPosts.Clear();
            foreach (var post in similarPosts)
            {
                SimilarPosts.Add(post);
            }
            SimilarPostsCount = SimilarPosts.Count;

            // Extract code snippets from similar posts
            var codeSnippets = await _suggestionService.ExtractCodeSnippetsAsync(similarPosts);
            CodeSnippets.Clear();
            foreach (var snippet in codeSnippets)
            {
                CodeSnippets.Add(snippet);
            }

            // Generate AI suggestion (we'll implement this in Part 6)
            // AiSuggestion = await _suggestionService.GenerateAiSuggestionAsync(currentText, similarPosts);
        }

        [RelayCommand]
        private void InsertLink(SimilarPost post)
        {
            var link = $"[{post.Title}](/blog/{post.Slug}#{post.SectionHeading.ToLower().Replace(" ", "-")})";
            // Notify EditorViewModel to insert link
            WeakReferenceMessenger.Default.Send(new InsertTextMessage(link));
        }

        [RelayCommand]
        private void ViewPost(SimilarPost post)
        {
            // Open in browser
            var url = $"https://www.mostlylucid.net/blog/{post.Slug}";
            Process.Start(new ProcessStartInfo { FileName = url, UseShellExecute = true });
        }

        [RelayCommand]
        private void InsertCode(CodeSnippet snippet)
        {
            var code = $"```{snippet.Language}\n{snippet.Code}\n```";
            WeakReferenceMessenger.Default.Send(new InsertTextMessage(code));
        }

        [RelayCommand]
        private async Task RegenerateSuggestion()
        {
            // To be implemented in Part 6 with LLM integration
            AiSuggestion = "AI suggestions will be available in Part 6...";
        }

        private string ExtractContext(string text, int sentences = 3)
        {
            // Get last N sentences as context for search
            var sentenceEndings = new[] { '.', '!', '?' };
            var sentences_found = 0;
            var index = text.Length - 1;

            while (index >= 0 && sentences_found < sentences)
            {
                if (sentenceEndings.Contains(text[index]))
                {
                    sentences_found++;
                }
                index--;
            }

            return index < 0 ? text : text.Substring(index + 1).Trim();
        }
    }
}

Gruppe "Vorschläge"

Hier geschieht die KI-Magie - zeigt semantisch ähnliche Beiträge und Vorschläge.

using Mostlylucid.BlogLLM.Client.Models;

namespace Mostlylucid.BlogLLM.Client.Services
{
    public interface ISuggestionService
    {
        Task<List<SimilarPost>> FindSimilarPostsAsync(string context);
        Task<List<CodeSnippet>> ExtractCodeSnippetsAsync(List<SimilarPost> posts);
        Task<string> GenerateAiSuggestionAsync(string currentText, List<SimilarPost> context);
    }
}

VorschlägeView.axaml

using Mostlylucid.BlogLLM.Client.Models;
using Mostlylucid.BlogLLM.Core.Services;

namespace Mostlylucid.BlogLLM.Client.Services
{
    public class SuggestionService : ISuggestionService
    {
        private readonly BatchEmbeddingService _embeddingService;
        private readonly QdrantVectorStore _vectorStore;

        public SuggestionService(
            BatchEmbeddingService embeddingService,
            QdrantVectorStore vectorStore)
        {
            _embeddingService = embeddingService;
            _vectorStore = vectorStore;
        }

        public async Task<List<SimilarPost>> FindSimilarPostsAsync(string context)
        {
            // Generate embedding for context
            var embedding = _embeddingService.GenerateEmbedding(context);

            // Search vector database
            var results = await _vectorStore.SearchAsync(
                queryEmbedding: embedding,
                limit: 10,
                languageFilter: "en"
            );

            // Convert to SimilarPost models
            return results.Select(r => new SimilarPost
            {
                Slug = r.BlogPostSlug,
                Title = r.BlogPostTitle,
                SectionHeading = r.SectionHeading,
                Preview = r.Text.Length > 200 ? r.Text.Substring(0, 200) + "..." : r.Text,
                FullText = r.Text,
                Score = r.Score
            }).ToList();
        }

        public async Task<List<CodeSnippet>> ExtractCodeSnippetsAsync(List<SimilarPost> posts)
        {
            var snippets = new List<CodeSnippet>();

            foreach (var post in posts)
            {
                // Extract code blocks from markdown
                var codeBlocks = ExtractCodeBlocks(post.FullText);
                snippets.AddRange(codeBlocks);
            }

            // Deduplicate and return top 5
            return snippets
                .GroupBy(s => s.Code)
                .Select(g => g.First())
                .Take(5)
                .ToList();
        }

        public async Task<string> GenerateAiSuggestionAsync(string currentText, List<SimilarPost> context)
        {
            // This will be implemented in Part 6 with LLM integration
            await Task.CompletedTask;
            return "AI generation coming in Part 6...";
        }

        private List<CodeSnippet> ExtractCodeBlocks(string markdown)
        {
            var snippets = new List<CodeSnippet>();
            var regex = new Regex(@"```(\w+)\n(.*?)\n```", RegexOptions.Singleline);
            var matches = regex.Matches(markdown);

            foreach (Match match in matches)
            {
                snippets.Add(new CodeSnippet
                {
                    Language = match.Groups[1].Value,
                    Code = match.Groups[2].Value.Trim()
                });
            }

            return snippets;
        }
    }
}

VorschlägeViewModel

namespace Mostlylucid.BlogLLM.Client.Models
{
    public class SimilarPost
    {
        public string Slug { get; set; } = string.Empty;
        public string Title { get; set; } = string.Empty;
        public string SectionHeading { get; set; } = string.Empty;
        public string Preview { get; set; } = string.Empty;
        public string FullText { get; set; } = string.Empty;
        public float Score { get; set; }
    }

    public class CodeSnippet
    {
        public string Language { get; set; } = string.Empty;
        public string Code { get; set; } = string.Empty;
    }

    public record InsertTextMessage(string Text);
}

Dienstleistungsebene

ISuggestionService

using Avalonia;
using Avalonia.Controls.ApplicationLifetimes;
using Avalonia.Markup.Xaml;
using Microsoft.Extensions.DependencyInjection;
using Mostlylucid.BlogLLM.Client.Services;
using Mostlylucid.BlogLLM.Client.ViewModels;
using Mostlylucid.BlogLLM.Client.Views;
using Mostlylucid.BlogLLM.Core.Services;

namespace Mostlylucid.BlogLLM.Client
{
    public partial class App : Application
    {
        public IServiceProvider Services { get; private set; } = null!;

        public override void Initialize()
        {
            AvaloniaXamlLoader.Load(this);
        }

        public override void OnFrameworkInitializationCompleted()
        {
            // Setup DI
            var services = new ServiceCollection();

            // Register core services
            services.AddSingleton(_ => new BatchEmbeddingService(
                modelPath: "C:\\models\\bge-base-en-onnx\\model.onnx",
                tokenizerPath: "C:\\models\\bge-base-en-onnx\\tokenizer.json",
                useGpu: true
            ));

            services.AddSingleton(_ => new QdrantVectorStore(
                host: "localhost",
                port: 6334
            ));

            // Register app services
            services.AddSingleton<IEditorService, EditorService>();
            services.AddSingleton<ISuggestionService, SuggestionService>();

            // Register ViewModels
            services.AddTransient<MainWindowViewModel>();
            services.AddTransient<EditorViewModel>();
            services.AddTransient<SuggestionsViewModel>();

            Services = services.BuildServiceProvider();

            // Create main window
            if (ApplicationLifetime is IClassicDesktopStyleApplicationLifetime desktop)
            {
                desktop.MainWindow = new MainWindow
                {
                    DataContext = Services.GetRequiredService<MainWindowViewModel>()
                };
            }

            base.OnFrameworkInitializationCompleted();
        }
    }
}

Umsetzung des VorschlagsService

dotnet run

Modelle

Einrichtung der AbhängigkeitsinjektionApp.axaml.cs
Die Anwendung ausführenSie sollten sehen:
Linke Platte: Markdown-Editor mit Symbolleiste und Live-Vorschau

Rechte Seite

: Ähnliche Beiträge basierend auf dem, was Sie schreiben

Statusleiste

: Wort/Zeichenzahl und Verarbeitungsindikator

public partial class EditorViewModel : ViewModelBase
{
    private System.Timers.Timer _searchDebounceTimer;
    private const int DebounceMs = 500;

    public EditorViewModel(IEditorService editorService)
    {
        _editorService = editorService;

        _searchDebounceTimer = new System.Timers.Timer(DebounceMs);
        _searchDebounceTimer.AutoReset = false;
        _searchDebounceTimer.Elapsed += async (s, e) =>
        {
            await GenerateSuggestionsAsync();
        };

        Document.TextChanged += (s, e) =>
        {
            Text = Document.Text;

            // Restart debounce timer
            _searchDebounceTimer.Stop();
            _searchDebounceTimer.Start();
        };
    }

    private async Task GenerateSuggestionsAsync()
    {
        var context = ExtractContext(Text);
        await Dispatcher.UIThread.InvokeAsync(async () =>
        {
            await SuggestionsViewModel.GenerateSuggestionsAsync(context);
        });
    }
}

Wie Sie tippen, die Vorschläge Panel-Updates in Echtzeit mit semantisch ähnliche Inhalte aus Ihrem Blog!

Leistungsoptimierung

public class EmbeddingCache
{
    private readonly Dictionary<string, (float[] embedding, DateTime timestamp)> _cache = new();
    private const int MaxCacheSize = 100;
    private readonly TimeSpan _cacheExpiration = TimeSpan.FromMinutes(10);

    public bool TryGet(string text, out float[] embedding)
    {
        if (_cache.TryGetValue(text, out var cached))
        {
            if (DateTime.Now - cached.timestamp < _cacheExpiration)
            {
                embedding = cached.embedding;
                return true;
            }
            _cache.Remove(text);
        }

        embedding = null;
        return false;
    }

    public void Set(string text, float[] embedding)
    {
        if (_cache.Count >= MaxCacheSize)
        {
            // Remove oldest
            var oldest = _cache.OrderBy(kv => kv.Value.timestamp).First();
            _cache.Remove(oldest.Key);
        }

        _cache[text] = (embedding, DateTime.Now);
    }
}

Suche debouncing

Suchen Sie nicht auf jedem Tastendruck - warten Sie auf Pause:

✅ Caching-EinbettenCache-Einbettungen für kürzlich eingegebene Kontexte:
✅ Markdown editor with live preview (Zusammenfassung)
✅ Real-time semantic search as you type
✅ Suggestions panel showing similar posts
✅ Code snippet extraction and insertion
✅ Link generation to related posts
✅ Debounced search for performance
✅ Dependency injection architecture

Wir haben einen kompletten Windows-Client gebaut mit:

Avalonien**UI-Framework mit MVVM-Muster**AvalonEdit

Was kommt als Nächstes?ImTeil 6: Lokale LLM-Integration
Wir integrieren lokale LLM-Schlussfolgerungen:
EinrichtungLLamaSharp
für lokale Modellausführung
Download und Quantifizierung von Modellen (Llama 2, Mistral)
GGUF-Format

und Quantisierung erklärt

Inferenz auf A4000 GPU laufen lassen

Erzeugen von tatsächlichen Schreibvorschlägen
Prompt Engineering für Blog-Schreiben
Endlich sehen wir KI-generierte Vorschläge im Panel!
Reihennavigation
Teil 1: Einführung & ArchitekturTeil 2: GPU-Einrichtung und CUDA in C#
Teil 3: Einbettungen und Vektordatenbanken verstehen
Teil 4: Aufbau der Ingestion Pipeline
Teil 5: Der Windows Client

(dieser Posten)

Avalonia DokumentationAvaloniaBearbeiten!