feat: Implement a modular skill system with hotword detection, streaming text output, and enhanced logging.

Api/GroqApiClient.cs

@@ -4,6 +4,7 @@ using System.Text.Json.Serialization;
 
 using Toak.Api.Models;
 using Toak.Serialization;
+using Toak.Core;
 
 namespace Toak.Api;
 
@@ -39,7 +40,9 @@ public class GroqApiClient
             content.Add(new StringContent(firstLang), "language");
         }
 
+        Logger.LogDebug($"Sending Whisper API request ({modelToUse})...");
         var response = await _httpClient.PostAsync("audio/transcriptions", content);
+        Logger.LogDebug($"Whisper API response status: {response.StatusCode}");
         
         if (!response.IsSuccessStatusCode)
         {
@@ -67,7 +70,9 @@ public class GroqApiClient
 
         var jsonContent = new StringContent(JsonSerializer.Serialize(requestBody, AppJsonSerializerContext.Default.LlamaRequest), System.Text.Encoding.UTF8, "application/json");
 
+        Logger.LogDebug($"Sending Llama API request (model: {requestBody.Model})...");
         var response = await _httpClient.PostAsync("chat/completions", jsonContent);
+        Logger.LogDebug($"Llama API response status: {response.StatusCode}");
 
         if (!response.IsSuccessStatusCode)
         {
@@ -80,4 +85,55 @@ public class GroqApiClient
 
         return result?.Choices?.FirstOrDefault()?.Message?.Content ?? string.Empty;
     }
+
+    public async IAsyncEnumerable<string> RefineTextStreamAsync(string rawTranscript, string systemPrompt, string model = "openai/gpt-oss-20b")
+    {
+        var requestBody = new LlamaRequest
+        {
+            Model = string.IsNullOrWhiteSpace(model) ? "openai/gpt-oss-20b" : model,
+            Temperature = 0.0,
+            Stream = true,
+            Messages = new[]
+            {
+                new LlamaRequestMessage { Role = "system", Content = systemPrompt },
+                new LlamaRequestMessage { Role = "user", Content = $"<transcript>{rawTranscript}</transcript>" }
+            }
+        };
+
+        var jsonContent = new StringContent(JsonSerializer.Serialize(requestBody, AppJsonSerializerContext.Default.LlamaRequest), System.Text.Encoding.UTF8, "application/json");
+
+        using var request = new HttpRequestMessage(HttpMethod.Post, "chat/completions") { Content = jsonContent };
+        request.Headers.Accept.Add(new MediaTypeWithQualityHeaderValue("text/event-stream"));
+        
+        Logger.LogDebug($"Sending Llama Steam API request (model: {requestBody.Model})...");
+        using var response = await _httpClient.SendAsync(request, HttpCompletionOption.ResponseHeadersRead);
+        Logger.LogDebug($"Llama Stream API response status: {response.StatusCode}");
+
+        if (!response.IsSuccessStatusCode)
+        {
+            var error = await response.Content.ReadAsStringAsync();
+            throw new Exception($"Llama API Error: {response.StatusCode} - {error}");
+        }
+
+        using var stream = await response.Content.ReadAsStreamAsync();
+        using var reader = new StreamReader(stream);
+
+        string? line;
+        while ((line = await reader.ReadLineAsync()) != null)
+        {
+            if (string.IsNullOrWhiteSpace(line)) continue;
+            if (line.StartsWith("data: "))
+            {
+                var data = line.Substring("data: ".Length).Trim();
+                if (data == "[DONE]") break;
+
+                var chunk = JsonSerializer.Deserialize(data, AppJsonSerializerContext.Default.LlamaStreamResponse);
+                var content = chunk?.Choices?.FirstOrDefault()?.Delta?.Content;
+                if (!string.IsNullOrEmpty(content))
+                {
+                    yield return content;
+                }
+            }
+        }
+    }
 }

Api/Models/LlamaModels.cs

@@ -18,6 +18,8 @@ public class LlamaRequest
     public LlamaRequestMessage[] Messages { get; set; } = Array.Empty<LlamaRequestMessage>();
     [JsonPropertyName("temperature")]
     public double Temperature { get; set; } = 0.0;
+    [JsonPropertyName("stream")]
+    public bool? Stream { get; set; }
 }
 
 public class LlamaResponse
@@ -31,3 +33,22 @@ public class LlamaChoice
     [JsonPropertyName("message")]
     public LlamaRequestMessage Message { get; set; } = new();
 }
+
+public class LlamaStreamResponse
+{
+    [JsonPropertyName("choices")]
+    public LlamaStreamChoice[] Choices { get; set; } = Array.Empty<LlamaStreamChoice>();
+}
+
+public class LlamaStreamChoice
+{
+    [JsonPropertyName("delta")]
+    public LlamaStreamDelta Delta { get; set; } = new();
+}
+
+public class LlamaStreamDelta
+{
+    [JsonPropertyName("content")]
+    public string? Content { get; set; }
+}
+

Audio/AudioRecorder.cs

@@ -15,9 +15,12 @@ public static class AudioRecorder
     {
         if (File.Exists(WavPath))
         {
+            Logger.LogDebug($"Deleting old audio file: {WavPath}");
             File.Delete(WavPath);
         }
 
+        Logger.LogDebug("Starting ffmpeg to record audio...");
+
         var pInfo = new ProcessStartInfo
         {
             FileName = "ffmpeg",
@@ -41,6 +44,7 @@ public static class AudioRecorder
         var pid = StateTracker.GetRecordingPid();
         if (pid.HasValue)
         {
+            Logger.LogDebug($"Found active recording process with PID {pid.Value}. Attempting to stop...");
             try
             {
                 var process = Process.GetProcessById(pid.Value);

Configuration/ToakConfig.cs

@@ -13,4 +13,7 @@ public class ToakConfig
     public string WhisperLanguage { get; set; } = string.Empty;
     public string LlmModel { get; set; } = "openai/gpt-oss-20b";
     public string WhisperModel { get; set; } = "whisper-large-v3-turbo";
+    public string StartSoundPath { get; set; } = "Assets/Audio/beep.wav";
+    public string StopSoundPath { get; set; } = "Assets/Audio/beep.wav";
+    public List<string> ActiveSkills { get; set; } = new List<string> { "Terminal", "Translate" };
 }

Core/Logger.cs

@@ -0,0 +1,15 @@
+namespace Toak.Core;
+
+public static class Logger
+{
+    public static bool Verbose { get; set; } = false;
+
+    public static void LogDebug(string message)
+    {
+        if (Verbose)
+        {
+            var logLine = $"[DEBUG] {DateTime.Now:HH:mm:ss.fff} - {message}";
+            Console.WriteLine(logLine);
+        }
+    }
+}

Core/PromptBuilder.cs

@@ -23,6 +23,7 @@ public static class PromptBuilder
         sb.AppendLine();
         sb.AppendLine("FORMATTING RULES:");
         sb.AppendLine("- CRITICAL: If the <transcript> contains nothing, or very short gibberish, output NOTHING AT ALL (an empty string).");
+        sb.AppendLine("- LANGUAGE DETECT: The transcript may be in English or a different language (e.g., Hungarian, Spanish). Detect the language and ensure your output and grammar corrections are STRICTLY in that same language.");
         
 
 

Core/Skills/ISkill.cs

@@ -0,0 +1,13 @@
+namespace Toak.Core.Skills;
+
+public interface ISkill
+{
+    string Name { get; }
+    string Description { get; }
+    string[] Hotwords { get; }
+    
+    bool HandlesExecution { get; }
+    
+    string GetSystemPrompt(string rawTranscript);
+    void Execute(string llmResult);
+}

Core/Skills/SkillRegistry.cs

@@ -0,0 +1,29 @@
+namespace Toak.Core.Skills;
+
+public static class SkillRegistry
+{
+    public static readonly ISkill[] AllSkills = new ISkill[]
+    {
+        new TerminalSkill(),
+        new TranslateSkill()
+    };
+    
+    public static ISkill? DetectSkill(string transcript, IEnumerable<string> activeSkillNames)
+    {
+        var activeSkills = AllSkills.Where(s => activeSkillNames.Contains(s.Name, StringComparer.OrdinalIgnoreCase)).ToList();
+
+        string normalizedTranscript = transcript.Trim();
+        
+        foreach (var skill in activeSkills)
+        {
+            foreach (var hotword in skill.Hotwords)
+            {
+                if (normalizedTranscript.StartsWith(hotword, StringComparison.OrdinalIgnoreCase))
+                {
+                    return skill;
+                }
+            }
+        }
+        return null;
+    }
+}

Core/Skills/TerminalSkill.cs

@@ -0,0 +1,41 @@
+using System.Diagnostics;
+
+namespace Toak.Core.Skills;
+
+public class TerminalSkill : ISkill
+{
+    public string Name => "Terminal";
+    public string Description => "Translates an intent into a bash command and runs it in the background.";
+    public string[] Hotwords => new[] { "System terminal", "System command" };
+
+    public bool HandlesExecution => true;
+
+    public string GetSystemPrompt(string rawTranscript)
+    {
+        return @"You are a command-line assistant. The user will ask you to perform a task. 
+Translate the request into a single bash command.
+Output ONLY the raw bash command to achieve this task. Do not include markdown formatting, backticks, or explanations.";
+    }
+
+    public void Execute(string llmResult)
+    {
+        try
+        {
+            Console.WriteLine($"[TerminalSkill] Executing: {llmResult}");
+            var escapedCmd = llmResult.Replace("\"", "\\\"");
+            var pInfo = new ProcessStartInfo
+            {
+                FileName = "bash",
+                Arguments = $"-c \"{escapedCmd}\"",
+                UseShellExecute = false,
+                CreateNoWindow = true
+            };
+            Process.Start(pInfo);
+            IO.Notifications.Notify("Toak Terminal Executed", llmResult);
+        }
+        catch (Exception ex)
+        {
+            Console.WriteLine($"[TerminalSkill Error] {ex.Message}");
+        }
+    }
+}

Core/Skills/TranslateSkill.cs

@@ -0,0 +1,23 @@
+namespace Toak.Core.Skills;
+
+public class TranslateSkill : ISkill
+{
+    public string Name => "Translate";
+    public string Description => "Translates the spoken text into another language on the fly.";
+    public string[] Hotwords => new[] { "System translate to", "System translate into" };
+
+    public bool HandlesExecution => false;
+
+    public string GetSystemPrompt(string rawTranscript)
+    {
+        return @"You are an expert translator. The user wants to translate the following text.
+The first few words identify the target language (e.g. 'Translate to Spanish:', 'Translate into Hungarian:').
+Translate the REST of the transcript into that target language.
+Output ONLY the final translated text. Do not include markdown, explanations, or quotes.";
+    }
+
+    public void Execute(string llmResult)
+    {
+        // Not used since HandlesExecution is false
+    }
+}

Core/StateTracker.cs

@@ -11,6 +11,7 @@ public static class StateTracker
 
     public static void SetRecording(int ffmpegPid)
     {
+        Logger.LogDebug($"Setting recording state with PID {ffmpegPid}");
         File.WriteAllText(StateFilePath, ffmpegPid.ToString());
     }
 
@@ -21,6 +22,7 @@ public static class StateTracker
             var content = File.ReadAllText(StateFilePath).Trim();
             if (int.TryParse(content, out var pid))
             {
+                Logger.LogDebug($"Read recording PID {pid} from state file");
                 return pid;
             }
         }
@@ -31,6 +33,7 @@ public static class StateTracker
     {
         if (File.Exists(StateFilePath))
         {
+            Logger.LogDebug("Clearing recording state file");
             File.Delete(StateFilePath);
         }
     }

IDEAS.md

@@ -197,6 +197,61 @@ toak status                    # Check if daemon is running
 
 ---
 
+## Future Innovations
+
+### Hotword Commands (LLM Routing)
+Instruct the LLM in `PromptBuilder` to output a specific JSON structure if given a command phrase. If a specific hotword like "System command" or "Computer dictate" is detected at the start of the audio, Toak parses the JSON, skips typng out via `xdotool`/`wtype`, and instead executes a pre-defined background action. 
+
+If it doesn't hear a command phrase, it simply returns the text normally and types it.
+
+**How it works (Under the Hood):**
+The LLM is prompted to always return JSON in the background when a command is directed at the assistant.
+```json
+{
+  "is_command": true,
+  "action": "append_to_notes",
+  "content": "Buy milk and eggs",
+  "meta": {}
+}
+```
+
+**Alternative Hotword Ideas:**
+Since "Toak" is not a real English word, Whisper might transcribe it as "talk", "toke", or "oak." It is highly recommended to use distinct, phonetically clear hotwords such as:
+- **"System..."** (e.g. "System note:")
+- **"Computer..."** (e.g. "Computer search:")
+- **"Action..."** (e.g. "Action commit:")
+- **"Dictate..."** (e.g. "Dictate terminal:")
+- **"Listen up..."** (e.g. "Listen up translate...")
+
+**Prompt Ideas & Use Cases:**
+
+1. **Quick Notes / Brainstorming:**
+   - *Hotword:* `"System note:"` or `"Drop this in my notes:"`
+   - *Action:* Appends the spoken text to a configured `~/notes.md` file in the background without interrupting your current window.
+   - *Example:* "System note: I need to remember to check the database migrations later today."
+
+2. **Terminal / CLI Execution:**
+   - *Hotword:* `"Computer terminal:"` or `"Command:"`
+   - *Action:* Takes the natural language command, asks the LLM to translate it into a bash command, and types it into a new tmux window or background process.
+   - *Example:* "Computer terminal: find all python files modified in the last 2 days."
+
+3. **Git Commit Messages:**
+   - *Hotword:* `"Action commit:"`
+   - *Action:* Automatically formats the dictated text into a standard conventional commit message, stages all files, and commits them.
+   - *Example:* "Action commit: I refactored the audio recorder to use native processes instead of the old library." -> LLM outputs `refactor(audio): migrate to native processes` and runs `git commit -am "..."`.
+
+4. **Web Search / Lookup:**
+   - *Hotword:* `"System search:"` or `"Look up:"`
+   - *Action:* Opens your default browser and performs a search for the spoken phrase.
+   - *Example:* "System search: MDN documentation for grid layout."
+
+5. **Translating on the fly:**
+   - *Hotword:* `"Translate to Spanish:"`
+   - *Action:* Instead of typing English, it types the translated version of the rest of the sentence.
+   - *Example:* "Translate to Spanish: Hello, how are you today?" -> Types out `Hola, ¿cómo estás hoy?`.
+
+---
+
 ## Implementation Priority
 
 ### Tier 1: High Impact, Low Effort

IO/Notifications.cs

@@ -22,4 +22,47 @@ public static class Notifications
             Console.WriteLine($"[Notifications] Failed to send notification: {ex.Message}");
         }
     }
+
+    public static void PlaySound(string soundPath)
+    {
+        if (string.IsNullOrWhiteSpace(soundPath)) return;
+        try
+        {
+            var absolutePath = soundPath;
+            if (!Path.IsPathRooted(absolutePath))
+                absolutePath = Path.Combine(AppDomain.CurrentDomain.BaseDirectory, absolutePath);
+
+            if (!File.Exists(absolutePath))
+            {
+                var resourceName = "Toak." + soundPath.Replace("/", ".").Replace("\\", ".");
+                using var stream = System.Reflection.Assembly.GetExecutingAssembly().GetManifestResourceStream(resourceName);
+                if (stream != null)
+                {
+                    absolutePath = Path.Combine(Path.GetTempPath(), "toak_" + Path.GetFileName(soundPath));
+                    if (!File.Exists(absolutePath))
+                    {
+                        using var fileStream = File.Create(absolutePath);
+                        stream.CopyTo(fileStream);
+                    }
+                }
+                else
+                {
+                    return;
+                }
+            }
+
+            var pInfo = new ProcessStartInfo
+            {
+                FileName = "paplay",
+                Arguments = $"\"{absolutePath}\"",
+                UseShellExecute = false,
+                CreateNoWindow = true
+            };
+            Process.Start(pInfo);
+        }
+        catch (Exception ex)
+        {
+            Console.WriteLine($"[Notifications] Failed to play sound: {ex.Message}");
+        }
+    }
 }

IO/TextInjector.cs

@@ -1,11 +1,14 @@
 using System.Diagnostics;
 
+using Toak.Core;
+
 namespace Toak.IO;
 
 public static class TextInjector
 {
     public static void Inject(string text, string backend)
     {
+        Logger.LogDebug($"Injecting text: '{text}' with {backend}");
         if (string.IsNullOrWhiteSpace(text)) return;
 
         try
@@ -13,6 +16,7 @@ public static class TextInjector
             ProcessStartInfo pInfo;
             if (backend.ToLowerInvariant() == "wtype")
             {
+                Logger.LogDebug($"Injecting text using wtype...");
                 pInfo = new ProcessStartInfo
                 {
                     FileName = "wtype",
@@ -23,6 +27,7 @@ public static class TextInjector
             }
             else // xdotool
             {
+                Logger.LogDebug($"Injecting text using xdotool...");
                 pInfo = new ProcessStartInfo
                 {
                     FileName = "xdotool",
@@ -40,4 +45,57 @@ public static class TextInjector
             Notifications.Notify("Injection Error", "Could not type text into window.");
         }
     }
+
+    public static async Task InjectStreamAsync(IAsyncEnumerable<string> tokenStream, string backend)
+    {
+        try
+        {
+            ProcessStartInfo pInfo;
+            if (backend.ToLowerInvariant() == "wtype")
+            {
+                Logger.LogDebug($"Setting up stream injection using wtype...");
+                pInfo = new ProcessStartInfo
+                {
+                    FileName = "wtype",
+                    Arguments = "-",
+                    UseShellExecute = false,
+                    CreateNoWindow = true,
+                    RedirectStandardInput = true
+                };
+            }
+            else // xdotool
+            {
+                Logger.LogDebug($"Setting up stream injection using xdotool...");
+                pInfo = new ProcessStartInfo
+                {
+                    FileName = "xdotool",
+                    Arguments = "type --clearmodifiers --delay 0 --file -",
+                    UseShellExecute = false,
+                    CreateNoWindow = true,
+                    RedirectStandardInput = true
+                };
+            }
+
+            using var process = Process.Start(pInfo);
+            if (process == null) return;
+
+            Logger.LogDebug("Started stream injection process, waiting for tokens...");
+
+            await foreach (var token in tokenStream)
+            {
+                Logger.LogDebug($"Injecting token: '{token}'");
+                await process.StandardInput.WriteAsync(token);
+                await process.StandardInput.FlushAsync();
+            }
+
+            Logger.LogDebug("Stream injection complete. Closing standard input.");
+            process.StandardInput.Close();
+            await process.WaitForExitAsync();
+        }
+        catch (Exception ex)
+        {
+            Console.WriteLine($"[TextInjector] Error injecting text stream: {ex.Message}");
+            Notifications.Notify("Injection Error", "Could not type text stream into window.");
+        }
+    }
 }

Program.cs

@@ -5,8 +5,11 @@ using Toak.Api;
 using Toak.Core;
 using Toak.IO;
 
-bool pipeToStdout = args.Contains("--pipe") || args.Contains("-p") || Console.IsOutputRedirected;
+bool pipeToStdout = args.Contains("--pipe") || args.Contains("-p");
 bool copyToClipboard = args.Contains("--copy");
+bool verbose = args.Contains("-v") || args.Contains("--verbose");
+
+Logger.Verbose = verbose;
 
 
 string command = "";
@@ -29,6 +32,7 @@ if (args.Contains("-h") || args.Contains("--help") || (string.IsNullOrEmpty(comm
     Console.WriteLine("  -h, --help     - Show this help message");
     Console.WriteLine("  -p, --pipe     - Output transcription to stdout instead of typing");
     Console.WriteLine("  --copy         - Copy to clipboard instead of typing");
+    Console.WriteLine("  -v, --verbose  - Enable detailed debug logging");
     return;
 }
 
@@ -71,6 +75,17 @@ if (command == "onboard")
     var backend = Console.ReadLine();
     if (!string.IsNullOrWhiteSpace(backend)) config.TypingBackend = backend.ToLowerInvariant();
 
+    Console.WriteLine();
+    var availableSkills = Toak.Core.Skills.SkillRegistry.AllSkills.Select(s => s.Name);
+    Console.WriteLine($"Active Skills (comma separated) [{string.Join(", ", config.ActiveSkills)}]:");
+    Console.WriteLine($"  Available: {string.Join(", ", availableSkills)}");
+    Console.Write("Selection: ");
+    var skillsInput = Console.ReadLine();
+    if (!string.IsNullOrWhiteSpace(skillsInput))
+    {
+        config.ActiveSkills = skillsInput.Split(',', StringSplitOptions.RemoveEmptyEntries | StringSplitOptions.TrimEntries).ToList();
+    }
+
     ConfigManager.SaveConfig(config);
     Console.WriteLine("Configuration saved.");
     return;
@@ -85,6 +100,7 @@ if (command == "show")
     Console.WriteLine($"  Whisper Model: {config.WhisperModel}");
     Console.WriteLine($"  Spoken Language: {(string.IsNullOrEmpty(config.WhisperLanguage) ? "Auto" : config.WhisperLanguage)}");
     Console.WriteLine($"  Typing Backend: {config.TypingBackend}");
+    Console.WriteLine($"  Active Skills: {string.Join(", ", config.ActiveSkills)}");
     Console.WriteLine($"  Style Mode: {config.StyleMode}");
     Console.WriteLine($"  Punctuation Module: {config.ModulePunctuation}");
     Console.WriteLine($"  Technical Sanitization: {config.ModuleTechnicalSanitization}");
@@ -244,12 +260,15 @@ if (command == "toggle")
 {
     if (StateTracker.IsRecording())
     {
+        var config = ConfigManager.LoadConfig();
+        Notifications.PlaySound(config.StopSoundPath);
+        
         if (!pipeToStdout) Console.WriteLine("Stopping recording and transcribing...");
         if (!pipeToStdout) Notifications.Notify("Toak", "Transcribing...");
         
         AudioRecorder.StopRecording();
 
-        var config = ConfigManager.LoadConfig();
+        Logger.LogDebug($"Loaded configuration: LLM={config.LlmModel}, Whisper={config.WhisperModel}, Typing={config.TypingBackend}");
 
         if (string.IsNullOrWhiteSpace(config.GroqApiKey))
         {
@@ -271,7 +290,9 @@ if (command == "toggle")
             var stopWatch = Stopwatch.StartNew();
 
             // 1. STT
+            Logger.LogDebug($"Starting STT transcription via Whisper for {wavPath}...");
             var transcript = await groq.TranscribeAsync(wavPath, config.WhisperLanguage, config.WhisperModel);
+            Logger.LogDebug($"Raw transcript received: '{transcript}'");
             
             if (string.IsNullOrWhiteSpace(transcript))
             {
@@ -279,32 +300,64 @@ if (command == "toggle")
                 return;
             }
 
-            string finalText = transcript;
-
             // 2. LLM Refinement
-            var systemPrompt = PromptBuilder.BuildPrompt(config);
+            var detectedSkill = Toak.Core.Skills.SkillRegistry.DetectSkill(transcript, config.ActiveSkills);
-            finalText = await groq.RefineTextAsync(transcript, systemPrompt, config.LlmModel);
+            string systemPrompt;
+            if (detectedSkill != null)
+            {
+                Logger.LogDebug($"Skill detected: {detectedSkill.Name}");
+                if (!pipeToStdout) Notifications.Notify("Toak Skill Detected", detectedSkill.Name);
+                systemPrompt = detectedSkill.GetSystemPrompt(transcript);
+            }
+            else
+            {
+                systemPrompt = PromptBuilder.BuildPrompt(config);
+            }
 
+            // 3. Output
+            if (detectedSkill != null && detectedSkill.HandlesExecution)
+            {
+                Logger.LogDebug($"Executing skill synchronously: {detectedSkill.Name}");
+                string finalText = await groq.RefineTextAsync(transcript, systemPrompt, config.LlmModel);
+                Logger.LogDebug($"Skill refined text: '{finalText}'");
+                if (string.IsNullOrWhiteSpace(finalText))
+                {
+                    if (!pipeToStdout) Notifications.Notify("Toak", "Dropped short or empty audio.");
+                    return;
+                }
+                
+                detectedSkill.Execute(finalText);
+                stopWatch.Stop();
+                Notifications.Notify("Toak", $"Skill executed in {stopWatch.ElapsedMilliseconds}ms");
+            }
+            else if (pipeToStdout || copyToClipboard)
+            {
+                Logger.LogDebug("Starting LLM text refinement (synchronous)...");
+                string finalText = await groq.RefineTextAsync(transcript, systemPrompt, config.LlmModel);
+                Logger.LogDebug($"Refined text received: '{finalText}'");
                 if (string.IsNullOrWhiteSpace(finalText))
                 {
                     if (!pipeToStdout) Notifications.Notify("Toak", "Dropped short or empty audio.");
                     return;
                 }
 
-            // 3. Output
                 if (pipeToStdout)
                 {
                     Console.WriteLine(finalText);
                 }
-            else if (copyToClipboard)
+                else
                 {
                     ClipboardManager.Copy(finalText);
                     stopWatch.Stop();
                     Notifications.Notify("Toak", $"Copied to clipboard in {stopWatch.ElapsedMilliseconds}ms");
                 }
+            }
             else
             {
-                TextInjector.Inject(finalText, config.TypingBackend);
+                Logger.LogDebug("Starting LLM text refinement (streaming)...");
+                var tokenStream = groq.RefineTextStreamAsync(transcript, systemPrompt, config.LlmModel);
+                Logger.LogDebug("Starting to inject text...");
+                await TextInjector.InjectStreamAsync(tokenStream, config.TypingBackend);
                 stopWatch.Stop();
                 Notifications.Notify("Toak", $"Done in {stopWatch.ElapsedMilliseconds}ms");
             }
@@ -323,6 +376,8 @@ if (command == "toggle")
     {
         // Start recording
         if (!pipeToStdout) Console.WriteLine("Starting recording...");
+        var config = ConfigManager.LoadConfig();
+        Notifications.PlaySound(config.StartSoundPath);
         AudioRecorder.StartRecording();
     }
 }

Serialization/AppJsonSerializerContext.cs

@@ -14,6 +14,10 @@ namespace Toak.Serialization;
 [JsonSerializable(typeof(LlamaChoice))]
 [JsonSerializable(typeof(LlamaRequestMessage[]))]
 [JsonSerializable(typeof(LlamaChoice[]))]
+[JsonSerializable(typeof(LlamaStreamResponse))]
+[JsonSerializable(typeof(LlamaStreamChoice))]
+[JsonSerializable(typeof(LlamaStreamDelta))]
+[JsonSerializable(typeof(LlamaStreamChoice[]))]
 internal partial class AppJsonSerializerContext : JsonSerializerContext
 {
 }

Toak.csproj

@@ -8,4 +8,8 @@
     <PublishAot>true</PublishAot>
   </PropertyGroup>
 
+  <ItemGroup>
+    <EmbeddedResource Include="Assets\Audio\**" />
+  </ItemGroup>
+
 </Project>