Finished display of token estimation (with debouncing)

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

@@ -5065,6 +5065,9 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1019424746"] = "Startup log file
 -- Browse AI Studio's source code on GitHub — we welcome your contributions.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1107156991"] = "Browse AI Studio's source code on GitHub — we welcome your contributions."
 
+-- The Tokenizer library serves as the base framework for integrating the DeepSeek tokenizer.
+UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1132433749"] = "The Tokenizer library serves as the base framework for integrating the DeepSeek tokenizer."
+
 -- ID mismatch: the plugin ID differs from the enterprise configuration ID.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1137744461"] = "ID mismatch: the plugin ID differs from the enterprise configuration ID."
 
@@ -5299,6 +5302,9 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T566998575"] = "This is a library
 -- Used .NET SDK
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T585329785"] = "Used .NET SDK"
 
+-- We use the DeepSeek Tokenizer to estimate the number of tokens an input will generate.
+UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T591393704"] = "We use the DeepSeek Tokenizer to estimate the number of tokens an input will generate."
+
 -- This library is used to manage sidecar processes and to ensure that stale or zombie sidecars are detected and terminated.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T633932150"] = "This library is used to manage sidecar processes and to ensure that stale or zombie sidecars are detected and terminated."
 

app/MindWork AI Studio/Components/ChatComponent.razor

@@ -33,7 +33,7 @@
     </ChildContent>
     <FooterContent>
         <MudElement Style="flex: 0 0 auto;">
-            <MudTextField
+            <UserPromptComponent
                 T="string"
                 @ref="@this.inputField"
                 @bind-Text="@this.userInput"
@@ -49,8 +49,11 @@
                 Disabled="@this.IsInputForbidden()"
                 Immediate="@true"
                 OnKeyUp="@this.InputKeyEvent"
+                WhenTextChangedAsync="@(_ =>this.CalculateTokenCount())"
                 UserAttributes="@USER_INPUT_ATTRIBUTES"
                 Class="@this.UserInputClass"
+                DebounceTime="TimeSpan.FromSeconds(1)" 
+                HelperText="@this.TokenCountMessage"
                 Style="@this.UserInputStyle"/>
         </MudElement>
         <MudToolBar WrapContent="true" Gutters="@false" Class="border border-solid rounded" Style="border-color: lightgrey;">
@@ -123,7 +126,6 @@
                     <MudIconButton Icon="@Icons.Material.Filled.Error" Color="Color.Error"/>
                 </MudTooltip>
             }
-            <MudText Typo="Typo.body2">@this.TokenCountMessage</MudText>
         </MudToolBar>
     </FooterContent>
 </InnerScrolling>

app/MindWork AI Studio/Components/ChatComponent.razor.cs

@@ -67,7 +67,7 @@ public partial class ChatComponent : MSGComponentBase, IAsyncDisposable
 
     // Unfortunately, we need the input field reference to blur the focus away. Without
     // this, we cannot clear the input field.
-    private MudTextField<string> inputField = null!;
+    private UserPromptComponent<string> inputField = null!;
 
     #region Overrides of ComponentBase
 
@@ -532,6 +532,7 @@ public partial class ChatComponent : MSGComponentBase, IAsyncDisposable
         this.userInput = string.Empty;
         this.chatDocumentPaths.Clear();
         await this.inputField.BlurAsync();
+        this.tokenCount = "0";
         
         // Enable the stream state for the chat component:
         this.isStreaming = true;
@@ -913,13 +914,15 @@ public partial class ChatComponent : MSGComponentBase, IAsyncDisposable
     private async Task CalculateTokenCount()
     {
         if (this.inputField.Value is null)
+        {
+            this.tokenCount = "0";
             return;
-        this.Logger.LogDebug($"Text to tokenize: '{this.inputField.Value}' ");
+        }
         var response = await this.RustService.GetTokenCount(this.inputField.Value);
         if (response is null)
             return;
         this.tokenCount = response.TokenCount.ToString();
-        this.Logger.LogDebug($"Token count: {this.tokenCount}");
+        this.StateHasChanged();
     }
     
     #region Overrides of MSGComponentBase

app/MindWork AI Studio/Components/UserPromptComponent.cs

@@ -0,0 +1,72 @@
+using Microsoft.AspNetCore.Components;
+using Timer = System.Timers.Timer;
+using MudBlazor;
+
+namespace AIStudio.Components;
+
+/// <summary>
+/// Debounced multi-line text input built on <see cref="MudTextField{T}"/>.
+/// Keeps the base API while adding a debounce timer.
+/// Callers can override any property as usual.
+/// </summary>
+public class UserPromptComponent<T> : MudTextField<T>
+{
+    [Parameter]
+    public TimeSpan DebounceTime { get; set; } = TimeSpan.FromMilliseconds(800);
+
+    // Use base Text / TextChanged from MudTextField; do not redeclare to avoid duplicate parameters.
+    // Text binding is handled through those base members; we only add debouncing behavior.
+
+    [Parameter]
+    public Func<string, Task> WhenTextChangedAsync { get; set; } = _ => Task.CompletedTask;
+    
+    private readonly Timer debounceTimer = new();
+    private string text = string.Empty;
+    private string lastParameterText = string.Empty;
+    private string lastNotifiedText = string.Empty;
+    private bool isInitialized;
+    
+    protected override async Task OnInitializedAsync()
+    {
+        this.text = this.Text ?? string.Empty;
+        this.lastParameterText = this.Text ?? string.Empty;
+        this.lastNotifiedText = this.Text ?? string.Empty;
+        this.debounceTimer.AutoReset = false;
+        this.debounceTimer.Interval = this.DebounceTime.TotalMilliseconds;
+        this.debounceTimer.Elapsed += (_, _) =>
+        {
+            this.debounceTimer.Stop();
+            if (this.text == this.lastNotifiedText)
+                return;
+            
+            this.lastNotifiedText = this.text;
+            this.InvokeAsync(async () => await this.TextChanged.InvokeAsync(this.text));
+            this.InvokeAsync(async () => await this.WhenTextChangedAsync(this.text));
+        };
+        
+        this.isInitialized = true;
+        await base.OnInitializedAsync();
+    }
+    
+    protected override async Task OnParametersSetAsync()
+    {
+        // Ensure the timer uses the latest debouncing interval:
+        if (!this.isInitialized)
+            return;
+        
+        if(Math.Abs(this.debounceTimer.Interval - this.DebounceTime.TotalMilliseconds) > 1)
+            this.debounceTimer.Interval = this.DebounceTime.TotalMilliseconds;
+        
+        // Only sync when the parent's parameter actually changed since the last change:
+        if (this.Text != this.lastParameterText)
+        {
+            this.text = this.Text ?? string.Empty;
+            this.lastParameterText = this.Text ?? string.Empty;
+        }
+        
+        this.debounceTimer.Stop();
+        this.debounceTimer.Start();
+        
+        await base.OnParametersSetAsync();
+    }
+}

app/MindWork AI Studio/Pages/Information.razor

@@ -311,6 +311,8 @@
                     <ThirdPartyComponent Name="sysinfo" Developer="Guillaume Gomez & Open Source Community" LicenseName="MIT" LicenseUrl="https://github.com/GuillaumeGomez/sysinfo/blob/main/LICENSE" RepositoryUrl="https://github.com/GuillaumeGomez/sysinfo" UseCase="@T("This library is used to manage sidecar processes and to ensure that stale or zombie sidecars are detected and terminated.")"/>
                     <ThirdPartyComponent Name="tempfile" Developer="Steven Allen, Ashley Mannix & Open Source Community" LicenseName="MIT" LicenseUrl="https://github.com/Stebalien/tempfile/blob/master/LICENSE-MIT" RepositoryUrl="https://github.com/Stebalien/tempfile" UseCase="@T("This library is used to create temporary folders for saving the certificate and private key for communication with Qdrant.")"/>
                     <ThirdPartyComponent Name="Lua-CSharp" Developer="Yusuke Nakada & Open Source Community" LicenseName="MIT" LicenseUrl="https://github.com/nuskey8/Lua-CSharp/blob/main/LICENSE" RepositoryUrl="https://github.com/nuskey8/Lua-CSharp" UseCase="@T("We use Lua as the language for plugins. Lua-CSharp lets Lua scripts communicate with AI Studio and vice versa. Thank you, Yusuke Nakada, for this great library.")" />
+                    <ThirdPartyComponent Name="DeepSeek-V3.2 Tokenizer" Developer="DeepSeek-AI" LicenseName="MIT" LicenseUrl="https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/mit.md" RepositoryUrl="https://huggingface.co/deepseek-ai/DeepSeek-V3.2/tree/main" UseCase="@T("We use the DeepSeek Tokenizer to estimate the number of tokens an input will generate.")" />
+                    <ThirdPartyComponent Name="Tokenizer" Developer="Anthony Moi, Nicolas Patry, Pierric Cistac, Arthur Zucker & Open Source Community" LicenseName="Apache-2.0" LicenseUrl="https://github.com/huggingface/tokenizers/blob/main/LICENSE" RepositoryUrl="https://github.com/huggingface/tokenizers" UseCase="@T("The Tokenizer library serves as the base framework for integrating the DeepSeek tokenizer.")" />
                     <ThirdPartyComponent Name="HtmlAgilityPack" Developer="ZZZ Projects & Open Source Community" LicenseName="MIT" LicenseUrl="https://github.com/zzzprojects/html-agility-pack/blob/master/LICENSE" RepositoryUrl="https://github.com/zzzprojects/html-agility-pack" UseCase="@T("We use the HtmlAgilityPack to extract content from the web. This is necessary, e.g., when you provide a URL as input for an assistant.")"/>
                     <ThirdPartyComponent Name="ReverseMarkdown" Developer="Babu Annamalai & Open Source Community" LicenseName="MIT" LicenseUrl="https://github.com/mysticmind/reversemarkdown-net/blob/master/LICENSE" RepositoryUrl="https://github.com/mysticmind/reversemarkdown-net" UseCase="@T("This library is used to convert HTML to Markdown. This is necessary, e.g., when you provide a URL as input for an assistant.")"/>
                     <ThirdPartyComponent Name="wikEd diff" Developer="Cacycle & Open Source Community" LicenseName="None (public domain)" LicenseUrl="https://en.wikipedia.org/wiki/User:Cacycle/diff#License" RepositoryUrl="https://en.wikipedia.org/wiki/User:Cacycle/diff" UseCase="@T("This library is used to display the differences between two texts. This is necessary, e.g., for the grammar and spelling assistant.")"/>

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

@@ -1620,6 +1620,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T3403290862"] = "Der ausge
 -- Select a provider first
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T3654197869"] = "Wähle zuerst einen Anbieter aus"
 
+-- Estimated amount of tokens:
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T377990776"] = "Geschätzte Anzahl an Tokens:"
+
 -- Start new chat in workspace "{0}"
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T3928697643"] = "Neuen Chat im Arbeitsbereich \"{0}\" starten"
 
@@ -1812,7 +1815,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T1986314327"] = "Demokratisie
 -- While exploring available solutions, I found a desktop application called Anything LLM. Unfortunately, it fell short of meeting my specific requirements and lacked the user interface design I envisioned. For macOS, there were several apps similar to what I had in mind, but they were all commercial solutions shrouded in uncertainty. The developers' identities and the origins of these apps were unclear, raising significant security concerns. Reports from users about stolen API keys and unwanted charges only amplified my reservations.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3552777197"] = "Während ich nach passenden Lösungen suchte, stieß ich auf eine Desktop-Anwendung namens Anything LLM. Leider konnte sie meine spezifischen Anforderungen nicht erfüllen und entsprach auch nicht dem Benutzeroberflächendesign, das ich mir vorgestellt hatte. Für macOS gab es zwar mehrere Apps, die meiner Vorstellung ähnelten, aber sie waren allesamt kostenpflichtige Lösungen mit unklarer Herkunft. Die Identität der Entwickler und die Ursprünge dieser Apps waren nicht ersichtlich, was erhebliche Sicherheitsbedenken hervorrief. Berichte von Nutzern über gestohlene API-Schlüssel und unerwünschte Abbuchungen verstärkten meine Bedenken zusätzlich."
 
--- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3672974243"] = "Wir möchten auch zur Demokratisierung von KI beitragen. MindWork AI Studio läuft selbst auf kostengünstiger Hardware, einschließlich Computern für rund 100 € wie dem Raspberry Pi. Dadurch sind die App und ihr voller Funktionsumfang auch für Menschen und Familien mit begrenztem Budget zugänglich. Für Ihre ersten Schritte können Sie mit lokalen LLMs beginnen oder günstige Cloud-Modelle nutzen. MindWork AI Studio selbst ist kostenlos erhältlich."
 
 -- Relying on web services like ChatGPT was not a sustainable solution for me. I needed an AI that could also access files directly on my device, a functionality web services inherently lack due to security and privacy constraints. Although I could have scripted something in Python to meet my needs, this approach was too cumbersome for daily use. More importantly, I wanted to develop a solution that anyone could use without needing any programming knowledge.
@@ -2448,7 +2451,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T1986314327"] = "Demokratisierung
 -- Whatever your job or task is, MindWork AI Studio aims to meet your needs: whether you're a project manager, scientist, artist, author, software developer, or game developer.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2144737937"] = "Was auch immer ihr Beruf oder ihre Aufgabe ist, MindWork AI Studio möchte ihre Bedürfnisse erfüllen: Egal, ob Sie Projektmanager, Wissenschaftler, Künstler, Autor, Softwareentwickler oder Spieleentwickler sind."
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2201645589"] = "Wir möchten zur Demokratisierung von KI beitragen. MindWork AI Studio läuft sogar auf kostengünstiger Hardware, einschließlich Computern für etwa 100 € wie dem Raspberry Pi. Dadurch werden die App und ihr voller Funktionsumfang auch für Menschen und Familien mit begrenztem Budget zugänglich. Sie können mit lokalen LLMs starten oder günstige Cloud-Modelle nutzen. MindWork AI Studio selbst ist kostenlos erhältlich."
 
 -- You can connect your email inboxes with AI Studio. The AI will read your emails and notify you of important events. You'll also be able to access knowledge from your emails in your chats.
@@ -4995,7 +4998,7 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T149711988"] = "Sie zahlen nur für das,
 -- Assistants
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1614176092"] = "Assistenten"
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1628689293"] = "Wir möchten zur Demokratisierung von KI beitragen. MindWork AI Studio läuft sogar auf kostengünstiger Hardware, einschließlich Computern für etwa 100 € wie dem Raspberry Pi. Dadurch werden die App und ihr vollständiger Funktionsumfang auch für Menschen und Familien mit begrenztem Budget zugänglich. Sie können mit lokalen LLMs starten oder günstige Cloud-Modelle nutzen."
 
 -- Unrestricted usage
@@ -5064,6 +5067,9 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1019424746"] = "Startprotokollda
 -- Browse AI Studio's source code on GitHub — we welcome your contributions.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1107156991"] = "Sehen Sie sich den Quellcode von AI Studio auf GitHub an – wir freuen uns über ihre Beiträge."
 
+-- The Tokenizer library serves as the base framework for integrating the DeepSeek tokenizer.
+UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1132433749"] = "Die Tokenizer‑Bibliothek dient als Basis‑Framework für die Integration des DeepSeek‑Tokenizers."
+
 -- ID mismatch: the plugin ID differs from the enterprise configuration ID.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1137744461"] = "ID-Konflikt: Die Plugin-ID stimmt nicht mit der ID der Unternehmenskonfiguration überein."
 
@@ -5298,6 +5304,9 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T566998575"] = "Dies ist eine Bib
 -- Used .NET SDK
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T585329785"] = "Verwendetes .NET SDK"
 
+-- We use the DeepSeek Tokenizer to estimate the number of tokens an input will generate.
+UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T591393704"] = "Wir verwenden den DeepSeek‑Tokenizer, um die Token‑Anzahl einer Eingabe zu schätzen."
+
 -- This library is used to manage sidecar processes and to ensure that stale or zombie sidecars are detected and terminated.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T633932150"] = "Diese Bibliothek wird verwendet, um Sidecar-Prozesse zu verwalten und sicherzustellen, dass veraltete oder Zombie-Sidecars erkannt und beendet werden."
 

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

@@ -1620,6 +1620,9 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T3403290862"] = "The selec
 -- Select a provider first
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T3654197869"] = "Select a provider first"
 
+-- Estimated amount of tokens:
+UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T377990776"] = "Estimated amount of tokens:"
+
 -- Start new chat in workspace "{0}"
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::CHATCOMPONENT::T3928697643"] = "Start new chat in workspace \"{0}\""
 
@@ -1812,7 +1815,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T1986314327"] = "Democratizat
 -- While exploring available solutions, I found a desktop application called Anything LLM. Unfortunately, it fell short of meeting my specific requirements and lacked the user interface design I envisioned. For macOS, there were several apps similar to what I had in mind, but they were all commercial solutions shrouded in uncertainty. The developers' identities and the origins of these apps were unclear, raising significant security concerns. Reports from users about stolen API keys and unwanted charges only amplified my reservations.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3552777197"] = "While exploring available solutions, I found a desktop application called Anything LLM. Unfortunately, it fell short of meeting my specific requirements and lacked the user interface design I envisioned. For macOS, there were several apps similar to what I had in mind, but they were all commercial solutions shrouded in uncertainty. The developers' identities and the origins of these apps were unclear, raising significant security concerns. Reports from users about stolen API keys and unwanted charges only amplified my reservations."
 
--- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::MOTIVATION::T3672974243"] = "We also want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs for your first steps or use affordable cloud models. MindWork AI Studio itself is available free of charge."
 
 -- Relying on web services like ChatGPT was not a sustainable solution for me. I needed an AI that could also access files directly on my device, a functionality web services inherently lack due to security and privacy constraints. Although I could have scripted something in Python to meet my needs, this approach was too cumbersome for daily use. More importantly, I wanted to develop a solution that anyone could use without needing any programming knowledge.
@@ -2448,7 +2451,7 @@ UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T1986314327"] = "Democratization
 -- Whatever your job or task is, MindWork AI Studio aims to meet your needs: whether you're a project manager, scientist, artist, author, software developer, or game developer.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2144737937"] = "Whatever your job or task is, MindWork AI Studio aims to meet your needs: whether you're a project manager, scientist, artist, author, software developer, or game developer."
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge.
 UI_TEXT_CONTENT["AISTUDIO::COMPONENTS::VISION::T2201645589"] = "We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models. MindWork AI Studio itself is available free of charge."
 
 -- You can connect your email inboxes with AI Studio. The AI will read your emails and notify you of important events. You'll also be able to access knowledge from your emails in your chats.
@@ -4995,7 +4998,7 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T149711988"] = "You only pay for what yo
 -- Assistants
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1614176092"] = "Assistants"
 
--- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 EUR such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
+-- We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::HOME::T1628689293"] = "We want to contribute to the democratization of AI. MindWork AI Studio runs even on low-cost hardware, including computers around 100 € such as Raspberry Pi. This makes the app and its full feature set accessible to people and families with limited budgets. You can start with local LLMs or use affordable cloud models."
 
 -- Unrestricted usage
@@ -5064,6 +5067,9 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1019424746"] = "Startup log file
 -- Browse AI Studio's source code on GitHub — we welcome your contributions.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1107156991"] = "Browse AI Studio's source code on GitHub — we welcome your contributions."
 
+-- The Tokenizer library serves as the base framework for integrating the DeepSeek tokenizer.
+UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1132433749"] = "The Tokenizer library serves as the base framework for integrating the DeepSeek tokenizer."
+
 -- ID mismatch: the plugin ID differs from the enterprise configuration ID.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T1137744461"] = "ID mismatch: the plugin ID differs from the enterprise configuration ID."
 
@@ -5298,6 +5304,9 @@ UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T566998575"] = "This is a library
 -- Used .NET SDK
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T585329785"] = "Used .NET SDK"
 
+-- We use the DeepSeek Tokenizer to estimate the number of tokens an input will generate.
+UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T591393704"] = "We use the DeepSeek Tokenizer to estimate the number of tokens an input will generate."
+
 -- This library is used to manage sidecar processes and to ensure that stale or zombie sidecars are detected and terminated.
 UI_TEXT_CONTENT["AISTUDIO::PAGES::INFORMATION::T633932150"] = "This library is used to manage sidecar processes and to ensure that stale or zombie sidecars are detected and terminated."
 

runtime/src/main.rs

@@ -11,8 +11,7 @@ use mindwork_ai_studio::environment::is_dev;
 use mindwork_ai_studio::log::init_logging;
 use mindwork_ai_studio::metadata::MetaData;
 use mindwork_ai_studio::runtime_api::start_runtime_api;
-use mindwork_ai_studio::stale_process_cleanup::kill_stale_process;
+use mindwork_ai_studio::tokenizer::{init_tokenizer};
-use mindwork_ai_studio::tokenizer::{init_tokenizer, get_token_count};
 
 #[tokio::main]
 async fn main() {
@@ -48,13 +47,8 @@ async fn main() {
         warn!(Source = "Tokenizer"; "Error during the initialisation of the tokenizer: {}", e);
     }
 
-    let token_count = get_token_count("");
-    info!(".. Tokenizer contains {token_count} tokens.");
-
     generate_runtime_certificate();
     start_runtime_api();
     
     start_tauri();
-
-    Ok(())
 }