Implement complete Eugen Twitch chatbot

This commit implements the full Eugen bot based on specifications in CLAUDE.md and eugen_claude.md.

Features implemented:
- Smart name recognition (@Eugen, Eugen:, etc.)
- Persistent conversation memory per user (max 25 messages, 1 hour retention)
- Perplexity Sonar API integration for AI responses
- Live monitoring dashboard with PySimpleGUI
- Setup wizard for first-time configuration
- Comprehensive logging (main log + API debug log)

Files added:
- config.py: Configuration management from .env and config.json
- utils.py: MentionDetector and Logger utility classes
- memory.py: ConversationMemory for persistent chat history
- ai_provider.py: PerplexityProvider for API integration
- gui.py: Dashboard and SetupWizard GUI components
- chatbot.py: Main EugenBot orchestrator with IRC handling
- requirements.txt: Python dependencies
- .env.example: Template for environment variables
- .gitignore: Renamed from gitignore for proper Git usage

Updated:
- README.md: Complete usage instructions and documentation

The bot is ready to use - users just need to add their API keys and run python chatbot.py

.env.example

@@ -0,0 +1,19 @@
+# Twitch Configuration
+TWITCH_OAUTH_TOKEN=oauth:your_token_here
+TWITCH_BOT_NICKNAME=Eugen
+TWITCH_CHANNEL=#your_channel_here
+
+# Perplexity Configuration
+PERPLEXITY_API_KEY=pplx-your_key_here
+PERPLEXITY_MODEL=sonar-pro
+MAX_TOKENS=450
+
+# Bot Configuration
+DEBUG_MODE=true
+AUTO_RECONNECT=true
+RECONNECT_DELAY=10
+
+# Data Configuration
+DATA_DIR=data/conversations
+LOG_DIR=logs
+CONTEXT_RETENTION_HOURS=1

README.md

@@ -1,2 +1,153 @@
-# KI-Chat-Bot-Eugen
-Twitch KI Chat Bot 
+# Eugen - Intelligent Twitch Chat Bot
+
+An AI-powered Twitch chat bot specializing in Gaming and 3D Printing topics, powered by Perplexity Sonar API.
+
+## Features
+
+- **Smart Name Recognition**: Automatically responds when mentioned (@Eugen, Eugen:, etc.)
+- **Persistent Memory**: Maintains conversation history per user (max 25 messages)
+- **Context-Aware**: Remembers previous conversations for up to 1 hour
+- **Perplexity Integration**: Uses Perplexity Sonar API for intelligent, real-time responses
+- **Live Dashboard**: GUI monitoring interface showing all activity in real-time
+- **Topics**: Gaming (WoW, Elden Ring), 3D Printing (Prusa, Bambu, Creality), Tech (Python, Linux)
+
+## Quick Start
+
+### Prerequisites
+
+- Python 3.9+ (3.11+ recommended)
+- Twitch account for the bot
+- Perplexity API key
+
+### Installation
+
+```bash
+# Clone the repository
+git clone https://github.com/Kenearos/KI-Chat-Bot-Eugen.git
+cd KI-Chat-Bot-Eugen
+
+# Create virtual environment
+python -m venv venv
+
+# Activate virtual environment
+# On Windows:
+.\venv\Scripts\Activate.ps1
+# On Linux/Mac:
+source venv/bin/activate
+
+# Install dependencies
+pip install -r requirements.txt
+```
+
+### Configuration
+
+#### Option 1: Setup Wizard (Recommended)
+Simply run the bot and the setup wizard will guide you:
+```bash
+python chatbot.py
+```
+
+#### Option 2: Manual Configuration
+Copy `.env.example` to `.env` and fill in your credentials:
+```bash
+cp .env.example .env
+```
+
+Edit `.env` with your values:
+```
+TWITCH_OAUTH_TOKEN=oauth:your_token_here
+TWITCH_BOT_NICKNAME=Eugen
+TWITCH_CHANNEL=#your_channel_here
+PERPLEXITY_API_KEY=pplx-your_key_here
+```
+
+#### Getting API Keys
+
+**Twitch OAuth Token:**
+1. Visit [twitchtokengenerator.com](https://twitchtokengenerator.com/)
+2. Generate token with `chat:read` and `chat:edit` scopes
+3. Copy the token (should start with `oauth:`)
+
+**Perplexity API Key:**
+1. Visit [perplexity.ai/api](https://www.perplexity.ai/api)
+2. Sign up/Login
+3. Generate new API key
+4. Copy the key (should start with `pplx-`)
+
+### Running the Bot
+
+```bash
+python chatbot.py
+```
+
+The dashboard will open automatically showing live activity.
+
+## Usage
+
+Once running, the bot responds when mentioned in Twitch chat:
+
+```
+User: @Eugen what's the best class in WoW?
+Eugen: @User The best class depends on your playstyle...
+
+User: Eugen, how do I level my 3D printer?
+Eugen: @User For bed leveling, start by...
+```
+
+## Project Structure
+
+```
+eugen/
+├── chatbot.py          # Main entry point
+├── config.py           # Configuration management
+├── gui.py              # Dashboard GUI
+├── ai_provider.py      # Perplexity API integration
+├── memory.py           # Conversation memory
+├── utils.py            # Helper functions
+├── requirements.txt    # Python dependencies
+├── .env               # Your secrets (DO NOT COMMIT)
+├── data/
+│   └── conversations/ # User chat histories
+└── logs/
+    ├── eugen.log      # Main log
+    └── api_debug.log  # API debug logs
+```
+
+## Documentation
+
+- **CLAUDE.md**: Quick reference guide for Claude Code
+- **eugen_claude.md**: Detailed German documentation with architecture and implementation details
+
+## Development
+
+The bot is built with:
+- Python 3.9+
+- Perplexity Sonar API for AI responses
+- Twitch IRC for chat integration
+- PySimpleGUI for dashboard
+- Async/await for concurrent operations
+
+## Troubleshooting
+
+**Bot doesn't respond:**
+- Check that .env has correct OAuth token and API key
+- Verify bot is in the correct channel
+- Check logs/eugen.log for errors
+
+**API errors:**
+- Verify Perplexity API key is valid
+- Check your API credits at perplexity.ai
+- Enable DEBUG_MODE=true in .env for detailed logs
+
+**IRC connection failed:**
+- Verify internet connection
+- Check firewall settings for port 6667
+- Regenerate Twitch OAuth token if expired
+
+## License
+
+See LICENSE file for details.
+
+## Contributing
+
+Contributions welcome! Please open an issue or pull request. 

ai_provider.py

@@ -0,0 +1,161 @@
+"""
+Perplexity API Provider for Eugen Bot
+Handles communication with Perplexity Sonar API
+"""
+import httpx
+import json
+import time
+from typing import List, Dict, Optional
+
+
+class PerplexityProvider:
+    """Communicates with Perplexity API for AI responses"""
+
+    def __init__(self, api_key, model="sonar-pro", max_tokens=450, temperature=0.7):
+        """
+        Initialize Perplexity API provider
+
+        Args:
+            api_key (str): Perplexity API key
+            model (str): Model to use (default: sonar-pro)
+            max_tokens (int): Maximum tokens in response
+            temperature (float): Sampling temperature
+        """
+        self.api_key = api_key
+        self.model = model
+        self.max_tokens = max_tokens
+        self.temperature = temperature
+        self.base_url = "https://api.perplexity.ai"
+
+        # Statistics
+        self.total_requests = 0
+        self.total_tokens = 0
+        self.total_errors = 0
+        self.last_response_time = 0
+
+    async def get_response(self, messages):
+        """
+        Send messages to Perplexity API and get response
+
+        Args:
+            messages (list): List of message dicts with 'role' and 'content'
+                Example: [
+                    {"role": "system", "content": "You are..."},
+                    {"role": "user", "content": "Hello"}
+                ]
+
+        Returns:
+            str: AI response content
+            None: If error occurred
+        """
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json"
+        }
+
+        payload = {
+            "model": self.model,
+            "messages": messages,
+            "max_tokens": self.max_tokens,
+            "temperature": self.temperature
+        }
+
+        start_time = time.time()
+
+        try:
+            async with httpx.AsyncClient(timeout=30.0) as client:
+                response = await client.post(
+                    f"{self.base_url}/chat/completions",
+                    json=payload,
+                    headers=headers
+                )
+
+                self.last_response_time = time.time() - start_time
+
+                if response.status_code == 200:
+                    data = response.json()
+                    content = data['choices'][0]['message']['content']
+                    tokens_used = data.get('usage', {}).get('total_tokens', 0)
+
+                    # Update statistics
+                    self.total_requests += 1
+                    self.total_tokens += tokens_used
+
+                    return content
+                else:
+                    self.total_errors += 1
+                    error_msg = f"API Error {response.status_code}: {response.text}"
+                    print(error_msg)
+                    return None
+
+        except httpx.TimeoutException:
+            self.total_errors += 1
+            print("API Timeout: Request took too long")
+            return None
+        except Exception as e:
+            self.total_errors += 1
+            print(f"API Error: {str(e)}")
+            return None
+
+    async def validate_api_key(self):
+        """
+        Validate API key with a simple test request
+
+        Returns:
+            bool: True if API key is valid
+        """
+        test_messages = [
+            {"role": "user", "content": "test"}
+        ]
+
+        try:
+            async with httpx.AsyncClient(timeout=5.0) as client:
+                response = await client.post(
+                    f"{self.base_url}/chat/completions",
+                    json={
+                        "model": self.model,
+                        "messages": test_messages,
+                        "max_tokens": 10
+                    },
+                    headers={
+                        "Authorization": f"Bearer {self.api_key}",
+                        "Content-Type": "application/json"
+                    }
+                )
+                return response.status_code == 200
+        except Exception:
+            return False
+
+    def get_statistics(self):
+        """
+        Get API usage statistics
+
+        Returns:
+            dict: Statistics including requests, tokens, errors, avg response time
+        """
+        avg_response_time = self.last_response_time if self.total_requests > 0 else 0
+        success_rate = (
+            ((self.total_requests - self.total_errors) / self.total_requests * 100)
+            if self.total_requests > 0
+            else 0
+        )
+
+        # Rough cost calculation (example pricing, adjust as needed)
+        # Perplexity pricing varies, this is an estimate
+        estimated_cost = self.total_tokens * 0.0003 / 1000  # $0.0003 per 1K tokens
+
+        return {
+            "total_requests": self.total_requests,
+            "total_tokens": self.total_tokens,
+            "total_errors": self.total_errors,
+            "avg_response_time": avg_response_time,
+            "success_rate": success_rate,
+            "estimated_cost": estimated_cost
+        }
+
+    def reset_statistics(self):
+        """Reset all statistics counters"""
+        self.total_requests = 0
+        self.total_tokens = 0
+        self.total_errors = 0
+        self.last_response_time = 0

chatbot.py

@@ -0,0 +1,302 @@
+"""
+Eugen - Intelligent Twitch Chat Bot
+Main entry point and orchestrator
+"""
+import asyncio
+import irc.bot
+import irc.strings
+import threading
+import os
+from pathlib import Path
+
+from config import Config
+from memory import ConversationMemory
+from ai_provider import PerplexityProvider
+from gui import Dashboard, SetupWizard
+from utils import MentionDetector, Logger
+
+
+class EugenBot(irc.bot.SingleServerIRCBot):
+    """Main bot class - orchestrates IRC, Memory, AI, and GUI"""
+
+    def __init__(self, config):
+        """
+        Initialize the bot
+
+        Args:
+            config (Config): Configuration object
+        """
+        self.config = config
+        self.bot_name = config.bot_name
+        self.channel = config.twitch_channel
+
+        # Initialize components
+        self.memory = ConversationMemory(
+            data_dir=config.data_dir,
+            retention_hours=config.context_retention_hours
+        )
+        self.ai = PerplexityProvider(
+            api_key=config.perplexity_key,
+            model=config.model,
+            max_tokens=config.max_tokens
+        )
+        self.detector = MentionDetector(bot_name=self.bot_name)
+        self.logger = Logger(log_dir=config.log_dir, debug_mode=config.debug_mode)
+
+        # Dashboard (will be initialized in GUI thread)
+        self.dashboard = None
+
+        # IRC connection setup
+        server = "irc.chat.twitch.tv"
+        port = 6667
+        nickname = self.bot_name
+        token = config.twitch_token
+
+        # Initialize IRC bot
+        irc.bot.SingleServerIRCBot.__init__(
+            self,
+            [(server, port, token)],
+            nickname,
+            nickname
+        )
+
+        self.is_running = False
+        self.loop = None
+
+        self.logger.info(f"Bot initialized: {nickname} → {self.channel}")
+
+    def on_welcome(self, connection, event):
+        """Called when bot connects to IRC server"""
+        self.logger.info("Connected to Twitch IRC")
+        if self.dashboard:
+            self.dashboard.log_event("info", {"message": "Connected to Twitch IRC"})
+
+        # Request Twitch-specific capabilities
+        connection.cap("REQ", ":twitch.tv/membership")
+        connection.cap("REQ", ":twitch.tv/tags")
+        connection.cap("REQ", ":twitch.tv/commands")
+
+        # Join channel
+        connection.join(self.channel)
+        self.logger.info(f"Joined channel: {self.channel}")
+        if self.dashboard:
+            self.dashboard.log_event("info", {"message": f"Joined {self.channel}"})
+
+    def on_pubmsg(self, connection, event):
+        """Called when a message is received in chat"""
+        # Extract username and message
+        username = event.source.nick
+        message = event.arguments[0]
+
+        self.logger.chat_message(username, message)
+        if self.dashboard:
+            self.dashboard.log_event("chat_message", {
+                "username": username,
+                "content": message
+            })
+
+        # Check if bot was mentioned
+        if self.detector.is_mentioned(message):
+            self.logger.debug(f"Mention detected from {username}")
+            if self.dashboard:
+                self.dashboard.log_event("mention_detected", {"username": username})
+
+            # Process in async context
+            asyncio.run_coroutine_threadsafe(
+                self.handle_mention(username, message),
+                self.loop
+            )
+
+    async def handle_mention(self, username, message):
+        """
+        Handle a message where bot was mentioned
+
+        Args:
+            username (str): User who sent the message
+            message (str): Full message content
+        """
+        # Extract actual content without mention
+        content = self.detector.extract_content(message)
+
+        if not content:
+            return
+
+        try:
+            # Load user's conversation history
+            history = self.memory.get_user_history(username, limit=5)
+            self.logger.debug(f"Loaded {len(history)} messages for {username}")
+
+            if self.dashboard:
+                self.dashboard.log_event("context_loaded", {
+                    "username": username,
+                    "count": len(history)
+                })
+
+            # Build messages for API
+            messages = [{"role": "system", "content": self.config.get_system_prompt()}]
+
+            # Add conversation history
+            if history:
+                messages.extend(self.memory.format_for_prompt(history))
+
+            # Add current message
+            messages.append({"role": "user", "content": content})
+
+            self.logger.api_call("chat.completions", self.config.model, len(messages))
+            if self.dashboard:
+                self.dashboard.log_event("api_call", {
+                    "model": self.config.model,
+                    "messages": len(messages)
+                })
+
+            # Get AI response
+            response = await self.ai.get_response(messages)
+
+            if response:
+                # Log and display response
+                self.logger.debug(f"Received response: {response[:100]}...")
+                if self.dashboard:
+                    self.dashboard.log_event("api_response", {"content": response})
+
+                # Save to memory
+                self.memory.add_message(username, "user", content)
+                self.memory.add_message(username, "assistant", response)
+
+                # Send to chat
+                self.send_chat_message(username, response)
+
+            else:
+                error_msg = "Sorry, I couldn't process that right now."
+                self.logger.error("API call failed")
+                if self.dashboard:
+                    self.dashboard.log_event("error", {"error": "API call failed"})
+                self.send_chat_message(username, error_msg)
+
+        except Exception as e:
+            self.logger.error(f"Error handling mention: {str(e)}")
+            if self.dashboard:
+                self.dashboard.log_event("error", {"error": str(e)})
+
+    def send_chat_message(self, username, response):
+        """
+        Send a message to chat
+
+        Args:
+            username (str): User to address
+            response (str): Message content
+        """
+        # Format message to address user
+        message = f"@{username} {response}"
+
+        # Send via IRC
+        self.connection.privmsg(self.channel, message)
+
+        self.logger.bot_response(username, response)
+        if self.dashboard:
+            self.dashboard.log_event("bot_response", {
+                "username": username,
+                "content": response
+            })
+
+    def start(self):
+        """Start the bot"""
+        self.is_running = True
+
+        # Create event loop for async operations
+        self.loop = asyncio.new_event_loop()
+
+        # Start bot in separate thread
+        bot_thread = threading.Thread(target=self._run_bot, daemon=True)
+        bot_thread.start()
+
+        # Run dashboard in main thread
+        self.dashboard = Dashboard(self)
+        self.logger.info("Starting dashboard...")
+        self.dashboard.run()
+
+    def _run_bot(self):
+        """Run the IRC bot (called in thread)"""
+        asyncio.set_event_loop(self.loop)
+        try:
+            self.logger.info("Starting IRC bot...")
+            super().start()
+        except Exception as e:
+            self.logger.error(f"Bot error: {str(e)}")
+            if self.dashboard:
+                self.dashboard.log_event("error", {"error": f"Bot crashed: {str(e)}"})
+
+    def stop(self):
+        """Stop the bot"""
+        self.is_running = False
+        self.logger.info("Stopping bot...")
+        if self.dashboard:
+            self.dashboard.log_event("info", {"message": "Shutting down..."})
+
+        try:
+            self.connection.quit("Bot shutting down")
+            self.die()
+        except:
+            pass
+
+        if self.loop:
+            self.loop.stop()
+
+
+def check_env_file():
+    """Check if .env file exists, if not run setup wizard"""
+    env_path = Path(".env")
+
+    if not env_path.exists():
+        print("No .env file found. Running setup wizard...")
+        wizard = SetupWizard()
+        config = wizard.run()
+
+        if config:
+            # Create .env file
+            with open(".env", "w") as f:
+                for key, value in config.items():
+                    f.write(f"{key}={value}\n")
+            print(".env file created successfully!")
+            return True
+        else:
+            print("Setup cancelled. Please create .env manually or run setup again.")
+            return False
+
+    return True
+
+
+def main():
+    """Main entry point"""
+    print("""
+╔════════════════════════════════════════════════════════════════╗
+║                    EUGEN TWITCH BOT                           ║
+║             Gaming & 3D-Druck Chat Assistant                  ║
+╚════════════════════════════════════════════════════════════════╝
+    """)
+
+    # Check for configuration
+    if not check_env_file():
+        return
+
+    # Load configuration
+    config = Config()
+
+    if not config.is_configured():
+        print("ERROR: Configuration incomplete!")
+        print("Please check your .env file or run setup wizard again.")
+        print("Delete .env to run setup wizard on next start.")
+        return
+
+    print(f"Bot Name: {config.bot_name}")
+    print(f"Channel: {config.twitch_channel}")
+    print(f"Model: {config.model}")
+    print(f"Debug Mode: {config.debug_mode}")
+    print("\nStarting bot...\n")
+
+    # Create and start bot
+    bot = EugenBot(config)
+    bot.start()
+
+
+if __name__ == "__main__":
+    main()

config.py

@@ -0,0 +1,96 @@
+"""
+Configuration Management for Eugen Bot
+Loads settings from .env and config.json
+"""
+import os
+import json
+from pathlib import Path
+from dotenv import load_dotenv
+
+
+class Config:
+    """Manages bot configuration from environment variables and config files"""
+
+    def __init__(self, env_file=".env", config_file="data/config.json"):
+        # Load .env file
+        load_dotenv(env_file)
+
+        # Twitch Configuration
+        self.twitch_token = os.getenv("TWITCH_OAUTH_TOKEN", "")
+        self.twitch_channel = os.getenv("TWITCH_CHANNEL", "")
+        self.bot_name = os.getenv("TWITCH_BOT_NICKNAME", "Eugen")
+
+        # Perplexity Configuration
+        self.perplexity_key = os.getenv("PERPLEXITY_API_KEY", "")
+        self.model = os.getenv("PERPLEXITY_MODEL", "sonar-pro")
+        self.max_tokens = int(os.getenv("MAX_TOKENS", "450"))
+
+        # Bot Behavior
+        self.debug_mode = os.getenv("DEBUG_MODE", "false").lower() == "true"
+        self.auto_reconnect = os.getenv("AUTO_RECONNECT", "true").lower() == "true"
+        self.reconnect_delay = int(os.getenv("RECONNECT_DELAY", "10"))
+
+        # Data Configuration
+        self.data_dir = os.getenv("DATA_DIR", "data/conversations")
+        self.log_dir = os.getenv("LOG_DIR", "logs")
+        self.context_retention_hours = int(os.getenv("CONTEXT_RETENTION_HOURS", "1"))
+
+        # Additional settings from config.json
+        self.config_file = config_file
+        self._load_json_config()
+
+    def _load_json_config(self):
+        """Load additional settings from config.json if it exists"""
+        if os.path.exists(self.config_file):
+            try:
+                with open(self.config_file, 'r', encoding='utf-8') as f:
+                    config_data = json.load(f)
+                    # Override or extend settings from JSON
+                    for key, value in config_data.items():
+                        if not hasattr(self, key):
+                            setattr(self, key, value)
+            except Exception as e:
+                print(f"Warning: Could not load config.json: {e}")
+
+    def save_to_json(self):
+        """Save current configuration to config.json"""
+        Path(self.config_file).parent.mkdir(parents=True, exist_ok=True)
+        config_data = {
+            "bot_name": self.bot_name,
+            "model": self.model,
+            "max_tokens": self.max_tokens,
+            "debug_mode": self.debug_mode,
+            "auto_reconnect": self.auto_reconnect,
+            "reconnect_delay": self.reconnect_delay,
+            "context_retention_hours": self.context_retention_hours
+        }
+        with open(self.config_file, 'w', encoding='utf-8') as f:
+            json.dump(config_data, f, indent=2, ensure_ascii=False)
+
+    def is_configured(self):
+        """Check if all required settings are present"""
+        required = [
+            self.twitch_token,
+            self.twitch_channel,
+            self.perplexity_key,
+            self.bot_name
+        ]
+        return all(required) and self.twitch_token.startswith("oauth:")
+
+    def get_system_prompt(self):
+        """Returns the system prompt for the AI"""
+        return """Du bist Eugen, ein hilfreicher und freundlicher Twitch-Chat-Bot.
+
+Du bist Experte für folgende Themen:
+- Gaming: World of Warcraft, Elden Ring, Gamedev
+- 3D-Druck: Prusa i3, Bambu Labs, Creality
+- Tech: Python, Linux, Home Automation
+
+Verhalte dich wie ein echter Chat-Teilnehmer:
+- Sei freundlich und hilfsbereit
+- Antworte kurz und prägnant (max 2-3 Sätze für Twitch-Chat)
+- Verwende gelegentlich Gaming- oder Tech-Slang
+- Beziehe dich auf vorherige Gespräche wenn möglich
+- Sei humorvoll aber respektvoll
+
+Wenn du etwas nicht weißt, sage es ehrlich. Wenn die Frage nicht zu deinen Themen passt, biete trotzdem Hilfe an oder verweise auf passende Ressourcen."""

gui.py

@@ -0,0 +1,271 @@
+"""
+Dashboard GUI for Eugen Bot
+Live monitoring interface using PySimpleGUI
+"""
+import PySimpleGUI as sg
+import threading
+from datetime import datetime
+from queue import Queue
+
+
+class Dashboard:
+    """Live monitoring dashboard for bot activity"""
+
+    def __init__(self, bot=None):
+        """
+        Initialize dashboard
+
+        Args:
+            bot: Reference to the main bot instance
+        """
+        self.bot = bot
+        sg.theme('DarkBlue3')
+
+        # Event queue for thread-safe updates
+        self.event_queue = Queue()
+        self.window = None
+        self.is_running = False
+
+        # Statistics
+        self.stats = {
+            "messages": 0,
+            "api_calls": 0,
+            "errors": 0,
+            "start_time": datetime.now()
+        }
+
+    def log_event(self, event_type, data):
+        """
+        Add event to queue for display
+
+        Args:
+            event_type (str): Type of event (chat_message, api_call, etc.)
+            data (dict): Event data
+        """
+        timestamp = datetime.now().strftime("%H:%M:%S")
+
+        if event_type == "chat_message":
+            msg = f"{timestamp} | {data['username']}: {data['content']}"
+            self.stats["messages"] += 1
+        elif event_type == "mention_detected":
+            msg = f"{timestamp} | [MENTION] Bot addressed by {data['username']}"
+        elif event_type == "api_call":
+            msg = f"{timestamp} | [API] → Perplexity ({data.get('model', 'sonar-pro')})"
+            self.stats["api_calls"] += 1
+        elif event_type == "api_response":
+            preview = data['content'][:60] + "..." if len(data['content']) > 60 else data['content']
+            msg = f"{timestamp} | [RESPONSE] {preview}"
+        elif event_type == "bot_response":
+            preview = data['content'][:60] + "..." if len(data['content']) > 60 else data['content']
+            msg = f"{timestamp} | Eugen: @{data['username']} {preview}"
+        elif event_type == "error":
+            msg = f"{timestamp} | ❌ ERROR: {data['error']}"
+            self.stats["errors"] += 1
+        elif event_type == "info":
+            msg = f"{timestamp} | ℹ {data['message']}"
+        elif event_type == "warning":
+            msg = f"{timestamp} | ⚠ {data['message']}"
+        elif event_type == "context_loaded":
+            msg = f"{timestamp} | [CONTEXT] Loaded {data['count']} messages for {data['username']}"
+        else:
+            msg = f"{timestamp} | {event_type}: {data}"
+
+        self.event_queue.put(msg)
+
+    def create_layout(self):
+        """Create the GUI layout"""
+        # Header
+        header = [
+            [sg.Text("EUGEN BOT - LIVE DASHBOARD", font=("Arial", 16, "bold"))],
+            [sg.Text("Status: 🟢 RUNNING", key="-STATUS-", font=("Arial", 10))],
+            [sg.Text("Uptime: 00:00:00", key="-UPTIME-", size=(20, 1)),
+             sg.Text("Messages: 0", key="-MSG-COUNT-", size=(20, 1)),
+             sg.Text("API Calls: 0", key="-API-COUNT-", size=(20, 1)),
+             sg.Text("Errors: 0", key="-ERROR-COUNT-", size=(20, 1))],
+            [sg.HorizontalSeparator()]
+        ]
+
+        # Live feed
+        feed = [
+            [sg.Text("LIVE ACTIVITY FEED", font=("Arial", 12, "bold"))],
+            [sg.Multiline(
+                size=(140, 25),
+                key="-LOG-",
+                disabled=True,
+                autoscroll=True,
+                font=("Courier New", 9)
+            )]
+        ]
+
+        # Control buttons
+        controls = [
+            [sg.HorizontalSeparator()],
+            [
+                sg.Button("Clear Log", key="-CLEAR-"),
+                sg.Button("Reset Stats", key="-RESET-"),
+                sg.Button("Stop Bot", key="-STOP-", button_color=("white", "red"))
+            ]
+        ]
+
+        # Combine all sections
+        layout = header + feed + controls
+
+        return layout
+
+    def run(self):
+        """Run the dashboard GUI in main thread"""
+        layout = self.create_layout()
+        self.window = sg.Window(
+            "Eugen Bot Dashboard",
+            layout,
+            finalize=True,
+            size=(1000, 650)
+        )
+        self.is_running = True
+
+        # Main event loop
+        while self.is_running:
+            event, values = self.window.read(timeout=100)
+
+            # Handle window close
+            if event == sg.WINDOW_CLOSED or event == "-STOP-":
+                self.is_running = False
+                if self.bot:
+                    self.bot.stop()
+                break
+
+            # Handle clear log
+            if event == "-CLEAR-":
+                self.window["-LOG-"].update("")
+
+            # Handle reset stats
+            if event == "-RESET-":
+                self.stats = {
+                    "messages": 0,
+                    "api_calls": 0,
+                    "errors": 0,
+                    "start_time": datetime.now()
+                }
+
+            # Update log with queued events
+            while not self.event_queue.empty():
+                try:
+                    msg = self.event_queue.get_nowait()
+                    self.window["-LOG-"].print(msg)
+                except:
+                    break
+
+            # Update statistics
+            self._update_stats()
+
+        self.window.close()
+
+    def _update_stats(self):
+        """Update statistics display"""
+        if not self.window:
+            return
+
+        # Calculate uptime
+        uptime = datetime.now() - self.stats["start_time"]
+        hours, remainder = divmod(int(uptime.total_seconds()), 3600)
+        minutes, seconds = divmod(remainder, 60)
+        uptime_str = f"{hours:02d}:{minutes:02d}:{seconds:02d}"
+
+        # Update displays
+        self.window["-UPTIME-"].update(f"Uptime: {uptime_str}")
+        self.window["-MSG-COUNT-"].update(f"Messages: {self.stats['messages']}")
+        self.window["-API-COUNT-"].update(f"API Calls: {self.stats['api_calls']}")
+        self.window["-ERROR-COUNT-"].update(f"Errors: {self.stats['errors']}")
+
+    def show_error(self, title, message):
+        """Show error popup"""
+        sg.popup_error(message, title=title)
+
+    def show_info(self, title, message):
+        """Show info popup"""
+        sg.popup(message, title=title)
+
+    def stop(self):
+        """Stop the dashboard"""
+        self.is_running = False
+        if self.window:
+            self.window.close()
+
+
+class SetupWizard:
+    """Configuration wizard for first-time setup"""
+
+    def __init__(self):
+        sg.theme('DarkBlue3')
+
+    def run(self):
+        """
+        Run the setup wizard
+
+        Returns:
+            dict: Configuration values or None if cancelled
+        """
+        layout = [
+            [sg.Text("EUGEN CONFIGURATION WIZARD", font=("Arial", 16, "bold"))],
+            [sg.HorizontalSeparator()],
+
+            [sg.Text("TWITCH CONFIGURATION", font=("Arial", 12, "bold"))],
+            [sg.Text("Bot Nickname:", size=(20, 1)), sg.Input("Eugen", key="-BOT-NAME-")],
+            [sg.Text("OAuth Token:", size=(20, 1)), sg.Input("oauth:", key="-OAUTH-", password_char="*")],
+            [sg.Text("Channel:", size=(20, 1)), sg.Input("#", key="-CHANNEL-")],
+
+            [sg.HorizontalSeparator()],
+
+            [sg.Text("PERPLEXITY CONFIGURATION", font=("Arial", 12, "bold"))],
+            [sg.Text("API Key:", size=(20, 1)), sg.Input("pplx-", key="-API-KEY-", password_char="*")],
+            [sg.Text("Model:", size=(20, 1)), sg.Combo(["sonar-pro", "sonar"], default_value="sonar-pro", key="-MODEL-")],
+            [sg.Text("Max Tokens:", size=(20, 1)), sg.Input("450", key="-TOKENS-")],
+
+            [sg.HorizontalSeparator()],
+
+            [sg.Checkbox("Enable Debug Mode", default=True, key="-DEBUG-")],
+            [sg.Checkbox("Auto Reconnect", default=True, key="-RECONNECT-")],
+
+            [sg.HorizontalSeparator()],
+
+            [sg.Button("Save & Start", key="-SAVE-"), sg.Button("Cancel", key="-CANCEL-")]
+        ]
+
+        window = sg.Window("Eugen Setup", layout)
+
+        config = None
+        while True:
+            event, values = window.read()
+
+            if event == sg.WINDOW_CLOSED or event == "-CANCEL-":
+                break
+
+            if event == "-SAVE-":
+                # Validate inputs
+                if not values["-OAUTH-"].startswith("oauth:"):
+                    sg.popup_error("Twitch OAuth token must start with 'oauth:'")
+                    continue
+
+                if not values["-CHANNEL-"].startswith("#"):
+                    sg.popup_error("Channel must start with '#'")
+                    continue
+
+                if not values["-API-KEY-"].startswith("pplx-"):
+                    sg.popup_error("Perplexity API key must start with 'pplx-'")
+                    continue
+
+                # Build config
+                config = {
+                    "TWITCH_BOT_NICKNAME": values["-BOT-NAME-"],
+                    "TWITCH_OAUTH_TOKEN": values["-OAUTH-"],
+                    "TWITCH_CHANNEL": values["-CHANNEL-"],
+                    "PERPLEXITY_API_KEY": values["-API-KEY-"],
+                    "PERPLEXITY_MODEL": values["-MODEL-"],
+                    "MAX_TOKENS": values["-TOKENS-"],
+                    "DEBUG_MODE": "true" if values["-DEBUG-"] else "false",
+                    "AUTO_RECONNECT": "true" if values["-RECONNECT-"] else "false"
+                }
+                break
+
+        window.close()
+        return config

memory.py

@@ -0,0 +1,174 @@
+"""
+Conversation Memory for Eugen Bot
+Stores and retrieves chat history per user with time-based filtering
+"""
+import json
+from pathlib import Path
+from datetime import datetime, timedelta
+from typing import List, Dict, Optional
+
+
+class ConversationMemory:
+    """Manages persistent conversation history for each user"""
+
+    def __init__(self, data_dir="data/conversations", max_messages=25, retention_hours=1):
+        """
+        Initialize conversation memory
+
+        Args:
+            data_dir (str): Directory to store conversation JSON files
+            max_messages (int): Maximum messages to store per user
+            retention_hours (int): How long to keep messages in context
+        """
+        self.data_dir = Path(data_dir)
+        self.data_dir.mkdir(parents=True, exist_ok=True)
+        self.max_messages = max_messages
+        self.retention_hours = retention_hours
+
+    def _get_user_file(self, username):
+        """Get the file path for a user's conversation history"""
+        # Sanitize username for filesystem
+        safe_username = "".join(c for c in username.lower() if c.isalnum() or c in "._-")
+        return self.data_dir / f"{safe_username}.json"
+
+    def get_user_history(self, username, limit=5):
+        """
+        Load recent chat history for a user
+
+        Args:
+            username (str): Twitch username
+            limit (int): Maximum number of messages to return
+
+        Returns:
+            list: List of message dicts with role, content, timestamp
+        """
+        file_path = self._get_user_file(username)
+
+        if not file_path.exists():
+            return []
+
+        try:
+            with open(file_path, 'r', encoding='utf-8') as f:
+                history = json.load(f)
+        except Exception as e:
+            print(f"Error loading history for {username}: {e}")
+            return []
+
+        # Filter by retention time
+        cutoff_time = datetime.now() - timedelta(hours=self.retention_hours)
+        recent = []
+
+        for msg in history:
+            try:
+                msg_time = datetime.fromisoformat(msg['timestamp'])
+                if msg_time > cutoff_time:
+                    recent.append(msg)
+            except (KeyError, ValueError):
+                continue
+
+        # Return only the most recent messages up to limit
+        return recent[-limit:] if recent else []
+
+    def add_message(self, username, role, content):
+        """
+        Add a message to user's conversation history
+
+        Args:
+            username (str): Twitch username
+            role (str): 'user' or 'assistant'
+            content (str): Message content
+        """
+        file_path = self._get_user_file(username)
+
+        # Load existing history
+        history = []
+        if file_path.exists():
+            try:
+                with open(file_path, 'r', encoding='utf-8') as f:
+                    history = json.load(f)
+            except Exception as e:
+                print(f"Error loading history for {username}: {e}")
+                history = []
+
+        # Add new message
+        history.append({
+            "role": role,
+            "content": content,
+            "timestamp": datetime.now().isoformat()
+        })
+
+        # Enforce max message limit
+        if len(history) > self.max_messages:
+            history = history[-self.max_messages:]
+
+        # Save back to file
+        try:
+            with open(file_path, 'w', encoding='utf-8') as f:
+                json.dump(history, f, ensure_ascii=False, indent=2)
+        except Exception as e:
+            print(f"Error saving history for {username}: {e}")
+
+    def format_for_prompt(self, history):
+        """
+        Convert history to format suitable for AI API
+
+        Args:
+            history (list): List of message dicts from get_user_history
+
+        Returns:
+            list: List of dicts with 'role' and 'content' keys
+        """
+        return [
+            {
+                "role": msg['role'],
+                "content": msg['content']
+            }
+            for msg in history
+        ]
+
+    def clear_user_history(self, username):
+        """
+        Clear all history for a specific user
+
+        Args:
+            username (str): Twitch username
+        """
+        file_path = self._get_user_file(username)
+        if file_path.exists():
+            try:
+                file_path.unlink()
+            except Exception as e:
+                print(f"Error clearing history for {username}: {e}")
+
+    def get_all_users(self):
+        """
+        Get list of all users with conversation history
+
+        Returns:
+            list: List of usernames
+        """
+        users = []
+        for file_path in self.data_dir.glob("*.json"):
+            users.append(file_path.stem)
+        return users
+
+    def get_user_message_count(self, username):
+        """
+        Get total message count for a user
+
+        Args:
+            username (str): Twitch username
+
+        Returns:
+            int: Number of messages in history
+        """
+        file_path = self._get_user_file(username)
+        if not file_path.exists():
+            return 0
+
+        try:
+            with open(file_path, 'r', encoding='utf-8') as f:
+                history = json.load(f)
+                return len(history)
+        except Exception:
+            return 0

requirements.txt

@@ -0,0 +1,5 @@
+irc==20.1.0
+python-dotenv==1.0.0
+PySimpleGUI==4.60.0
+requests==2.31.0
+httpx==0.25.0

utils.py

@@ -0,0 +1,169 @@
+"""
+Utility classes for Eugen Bot
+Includes MentionDetector for name recognition and Logger for file logging
+"""
+import re
+import logging
+from pathlib import Path
+from datetime import datetime
+
+
+class MentionDetector:
+    """Detects if the bot was mentioned in a chat message"""
+
+    def __init__(self, bot_name="Eugen"):
+        self.bot_name = bot_name
+        # Create patterns for various mention formats
+        self.patterns = [
+            rf"@{bot_name}",  # @Eugen
+            rf"{bot_name}:",  # Eugen:
+            rf"{bot_name},",  # Eugen,
+            rf"^{bot_name}\s",  # Eugen at start
+            rf"\s{bot_name}\s",  # Eugen in middle
+            rf"\s{bot_name}$",  # Eugen at end
+        ]
+        # Case-insensitive compilation
+        self.compiled_patterns = [
+            re.compile(pattern, re.IGNORECASE) for pattern in self.patterns
+        ]
+
+    def is_mentioned(self, message):
+        """
+        Check if bot was mentioned in message
+
+        Args:
+            message (str): Chat message to check
+
+        Returns:
+            bool: True if bot was mentioned
+        """
+        if not message:
+            return False
+
+        for pattern in self.compiled_patterns:
+            if pattern.search(message):
+                return True
+        return False
+
+    def extract_content(self, message):
+        """
+        Extract message content without the mention
+
+        Args:
+            message (str): Original message with mention
+
+        Returns:
+            str: Message content without mention prefix
+        """
+        if not message:
+            return ""
+
+        # Remove common mention patterns
+        content = message
+        patterns_to_remove = [
+            rf"@{self.bot_name}[,:]?\s*",
+            rf"{self.bot_name}[,:]?\s*",
+        ]
+
+        for pattern in patterns_to_remove:
+            content = re.sub(pattern, "", content, flags=re.IGNORECASE)
+
+        return content.strip()
+
+
+class Logger:
+    """File-based logger for bot events"""
+
+    def __init__(self, log_dir="logs", debug_mode=False):
+        self.log_dir = Path(log_dir)
+        self.log_dir.mkdir(parents=True, exist_ok=True)
+        self.debug_mode = debug_mode
+
+        # Setup main logger
+        self.main_logger = self._setup_logger(
+            "eugen_main",
+            self.log_dir / "eugen.log",
+            logging.INFO if not debug_mode else logging.DEBUG
+        )
+
+        # Setup API debug logger
+        self.api_logger = self._setup_logger(
+            "eugen_api",
+            self.log_dir / "api_debug.log",
+            logging.DEBUG
+        )
+
+    def _setup_logger(self, name, log_file, level):
+        """Setup a logger with file handler"""
+        logger = logging.getLogger(name)
+        logger.setLevel(level)
+
+        # Avoid duplicate handlers
+        if logger.handlers:
+            return logger
+
+        # File handler
+        fh = logging.FileHandler(log_file, encoding='utf-8')
+        fh.setLevel(level)
+
+        # Format
+        formatter = logging.Formatter(
+            '%(asctime)s | %(levelname)s | %(message)s',
+            datefmt='%Y-%m-%d %H:%M:%S'
+        )
+        fh.setFormatter(formatter)
+        logger.addHandler(fh)
+
+        # Console handler for debug mode
+        if self.debug_mode:
+            ch = logging.StreamHandler()
+            ch.setLevel(level)
+            ch.setFormatter(formatter)
+            logger.addHandler(ch)
+
+        return logger
+
+    def info(self, message):
+        """Log info message"""
+        self.main_logger.info(message)
+
+    def debug(self, message):
+        """Log debug message"""
+        self.main_logger.debug(message)
+
+    def error(self, message):
+        """Log error message"""
+        self.main_logger.error(message)
+
+    def warning(self, message):
+        """Log warning message"""
+        self.main_logger.warning(message)
+
+    def api_call(self, endpoint, model, messages_count):
+        """Log API call details"""
+        self.api_logger.debug(
+            f"API CALL | Endpoint: {endpoint} | Model: {model} | Messages: {messages_count}"
+        )
+
+    def api_response(self, status_code, tokens_used, response_time, content_preview):
+        """Log API response details"""
+        self.api_logger.debug(
+            f"API RESPONSE | Status: {status_code} | Tokens: {tokens_used} | "
+            f"Time: {response_time:.2f}s | Content: {content_preview[:100]}..."
+        )
+
+    def api_error(self, status_code, error_message):
+        """Log API error"""
+        self.api_logger.error(
+            f"API ERROR | Status: {status_code} | Error: {error_message}"
+        )
+
+    def chat_message(self, username, message):
+        """Log chat message"""
+        if self.debug_mode:
+            self.main_logger.debug(f"CHAT | {username}: {message}")
+
+    def bot_response(self, username, response):
+        """Log bot response"""
+        if self.debug_mode:
+            self.main_logger.debug(f"BOT RESPONSE | To {username}: {response}")