🤖 JARVIS - Complete Workflow & Architecture Guide

Intelligent OS Automation Agent - From Input to Output

This document explains how JARVIS processes user inputs, plans tasks, executes them, and returns results. It covers the complete workflow with concrete examples.

📑 Table of Contents

Quick Overview
Architecture Diagram
Input Entry Points
Complete Workflow: Step-by-Step
Core Components
Concrete Examples
File Structure Reference
How to Use JARVIS
Key Concepts

🚀 Quick Overview

JARVIS is an AI-powered task automation system that converts natural language commands into executable system tasks.

The Flow:

USER INPUT → BRAIN (MasterAgent) → PLANNING (TaskPlanner) → EXECUTION (ExecutionEngine) 
→ ROUTING (IntentRouter) → TOOLS → OUTPUT → MEMORY (Storage)

📊 Architecture Diagram

┌─────────────────────────────────────────────────────────────────────────┐
│                            INPUT LAYER                                   │
├─────────────────────────────────────────────────────────────────────────┤
│  Text Input (CLI) │  Voice Input (Mic) │  GUI Input (Chat Card)         │
│  main.py          │  voice_listener.py  │  ui/app.py                    │
└─────────────────────────────────────────────────────────────────────────┘
                                    ↓
┌─────────────────────────────────────────────────────────────────────────┐
│                      BRAIN LAYER (Orchestration)                         │
├─────────────────────────────────────────────────────────────────────────┤
│              agent/master_agent.py (Central Hub)                         │
│  • Receives user input                                                   │
│  • Extracts intent using LLM                                             │
│  • Coordinates all components                                            │
└─────────────────────────────────────────────────────────────────────────┘
                                    ↓
┌─────────────────────────────────────────────────────────────────────────┐
│                    REASONING LAYER (AI & Planning)                       │
├─────────────────────────────────────────────────────────────────────────┤
│  llm/groq_client.py         │  agent/task_planner.py                    │
│  (AI Reasoning)             │  (Task Decomposition)                      │
│  • Understand intent        │  • Break down goals                        │
│  • Extract goals            │  • Create task dependencies                │
│  • Generate solutions       │  • Assign priorities                       │
└─────────────────────────────────────────────────────────────────────────┘
                                    ↓
┌─────────────────────────────────────────────────────────────────────────┐
│                    EXECUTION LAYER (Task Running)                        │
├─────────────────────────────────────────────────────────────────────────┤
│  agent/execution_engine.py                                              │
│  • Validates tasks                                                       │
│  • Executes sequentially                                                 │
│  • Handles errors & retries                                              │
│  • Reports results                                                       │
└─────────────────────────────────────────────────────────────────────────┘
                                    ↓
┌─────────────────────────────────────────────────────────────────────────┐
│                     ROUTING LAYER (Intent Router)                        │
├─────────────────────────────────────────────────────────────────────────┤
│              router/intent_router.py (Dispatcher)                        │
│  • Validates intent & action                                             │
│  • Routes to correct handler                                             │
│  • Maps parameters                                                       │
└─────────────────────────────────────────────────────────────────────────┘
                                    ↓
     ┌──────────────────────────────┼──────────────────────────────┐
     ↓                              ↓                              ↓
┌─────────────────────────┐  ┌──────────────────────┐  ┌──────────────────────┐
│   SYSTEM TOOLS LAYER    │  │  FILE MANAGER LAYER  │  │  VISION/DIAGNOSTICS  │
├─────────────────────────┤  ├──────────────────────┤  ├──────────────────────┤
│ tools/                  │  │ file_manager/        │  │ troubleshooter/      │
│ • system_tools.py       │  │ • file_organizer.py  │  │ • vision_analyzer.py │
│ • app_tools.py          │  │ • duplicate_detector │  │ • screenshot_tool.py │
│ • diagnostics_tools.py  │  │ • large_file_scanner │  │ vision/              │
│ • system_config.py      │  │ • llm_organizer.py   │  │ • vision_engine.py   │
│ • web_tools.py          │  │ • file_organizer.py  │  │ personalisation/     │
│                         │  │                      │  │ • personalisation_..  │
│ Functions:              │  │ Functions:           │  │ installer/           │
│ • sleep_pc()            │  │ • organize_files()   │  │ • installer.py       │
│ • lock_pc()             │  │ • find_duplicates()  │  │                      │
│ • kill_process()        │  │ • remove_duplicates()│  │ Functions:           │
│ • clean_temp()          │  │ • analyze_folder()   │  │ • capture_screen()   │
│ • get_cpu_usage()       │  │ • get_report()       │  │ • analyze_image()    │
│ • get_ram_usage()       │  │                      │  │ • install_app()      │
│ • get_disk_usage()      │  │                      │  │                      │
└─────────────────────────┘  └──────────────────────┘  └──────────────────────┘
     ↓                              ↓                              ↓
     └──────────────────────────────┼──────────────────────────────┘
                                    ↓
┌─────────────────────────────────────────────────────────────────────────┐
│                         OUTPUT LAYER                                     │
├─────────────────────────────────────────────────────────────────────────┤
│  Terminal Output │  GUI Display │  Chat Card │  Log Files               │
└─────────────────────────────────────────────────────────────────────────┘
                                    ↓
┌─────────────────────────────────────────────────────────────────────────┐
│                       MEMORY LAYER (Persistence)                         │
├─────────────────────────────────────────────────────────────────────────┤
│  agent/memory_manager.py                                                │
│  agent_memory/                                                           │
│  • execution_history.json                                                │
│  • context.json                                                          │
│  • plans.json                                                            │
│  • preferences.json                                                      │
└─────────────────────────────────────────────────────────────────────────┘

📥 Input Entry Points

JARVIS supports 3 modes of input:

1️⃣ CLI Text Mode (Terminal-based)

python main.py

File: main.py
Input Method: Keyboard (interactive terminal)
Best For: Server/headless environments, scripting

Flow:

User types → main.py reads input() → passes to MasterAgent

2️⃣ GUI Chat Mode (Desktop UI)

python run_jarvis.py

Files: ui/app.py, ui/chat_card.py, widget/widget.py
Input Method: Chat card UI with text input
Best For: Desktop users, comfortable UI

Flow:

User types in chat → ChatCard captures → MasterAgent processes

3️⃣ GUI + Voice Mode (Desktop + Microphone)

python run_jarvis.py --voice

Files: voice/voice_listener.py, ui/app.py
Input Method: Microphone (Groq Whisper API for transcription)
Best For: Hands-free operation, accessibility

Flow:

User speaks → VoiceListener records audio → Groq Whisper transcribes 
→ Text sent to MasterAgent

🔄 Complete Workflow: Step-by-Step

STEP 1: INPUT CAPTURE

┌─ User provides input (text/voice/GUI)
└─ Input is captured by entry point
   • CLI: input() function
   • GUI: Chat card captures text
   • Voice: VoiceListener records & transcribes

STEP 2: MASTER AGENT - GOAL EXTRACTION

File: agent/master_agent.py → process_command()

# Input: "Find duplicate files in my Downloads folder"

# Step 2a: Extract Goal using LLM
goal_info = _extract_goal(user_input)

# Output:
{
    "intent": "file_management",
    "goal": "find duplicate files in Downloads",
    "confidence": 0.95,
    "is_complex": True,
    "requires_safety_check": False
}

# Step 2b: Display to user
🎯 Goal: find duplicate files in Downloads
🔍 Confidence: 95%

Key Details:

Uses llm/groq_client.py to call LLM
Extracts structured JSON from response
Confidence score helps validate understanding
Marks if goal is complex or needs safety check

STEP 3: TASK PLANNER - DECOMPOSITION

File: agent/task_planner.py → plan_goal()

# Input: Goal string and user input
# Output: TaskPlan with array of tasks

goal = "find duplicate files in Downloads"
plan = planner.plan_goal(user_input, goal)

# LLM Decomposition generates:
[
  {
    "order": 1,
    "intent": "file_management",
    "action": "find_duplicates",
    "parameters": {"folder_name": "Downloads"},
    "description": "Scan for duplicate files in Downloads",
    "priority": "high",
    "depends_on": [],
    "requires_confirmation": False,
    "dry_run": False
  },
  {
    "order": 2,
    "intent": "file_management",
    "action": "remove_duplicates",
    "parameters": {"folder_name": "Downloads"},
    "description": "Remove detected duplicate files",
    "priority": "high",
    "depends_on": ["task_1"],
    "requires_confirmation": True,  # ⚠️ Safety check needed
    "dry_run": False
  }
]

# Display:
📄 Created plan with 2 tasks:
  1. Scan for duplicates
  2. Remove duplicates (needs confirmation)

Key Features:

Breaks complex goals into atomic tasks
Tracks dependencies (task2 depends on task1)
Marks tasks needing user confirmation
Assigns priorities
Uses LLM for intelligent reasoning

STEP 4: EXECUTION ENGINE - RUN TASKS

File: agent/execution_engine.py → execute_plan()

# Input: TaskPlan
# Process: Execute each task sequentially

execution_summary = executor.execute_plan(plan, auto_confirm=False)

# For each task:
for task in plan.tasks:
    # 1. Check dependencies
    if task dependencies_failed:
        task.mark_skipped()
        continue
    
    # 2. Ask for confirmation if needed
    if task.requires_confirmation:
        user_input = input("Confirm? (y/n): ")
        if user_input != 'y':
            task.mark_skipped()
            continue
    
    # 3. Route to correct executor
    success = _execute_single_task(task)
    
    # 4. Record result
    task.mark_completed() if success else task.mark_failed()

# Output:
📋 TASK PLAN: find duplicate files in Downloads
 ──────────────────────────────
Total Tasks: 2

  💼 TASK 1: Scan for duplicates
     └─ Status: Running...

  💼 TASK 2: Remove duplicates  
     └─ Status: Waiting (depends on Task 1)

============================================================
✅ EXECUTION COMPLETE
============================================================
Total: 2 | ✓ Completed: 2 | ✗ Failed: 0 | ⏭️  Skipped: 0
============================================================

STEP 5: INTENT ROUTER - DISPATCH

File: router/intent_router.py → route_intent()

# Input: Task(intent, action, parameters)
command = {
    "intent": "file_management",
    "action": "find_duplicates",
    "parameters": {"folder_name": "Downloads"}
}

# Validation
is_valid, msg = _validate_intent(intent, action)
if not is_valid:
    print(f"❌ Validation Error: {msg}")
    return

# Routing (pattern matching)
if intent == "file_management":
    if action == "find_duplicates":
        handler = _handle_file_management(action, params)
        # Routes to: file_manager/duplicate_detector.py
    elif action == "organize_by_type":
        # Routes to: file_manager/file_organizer.py
    elif action == "find_large_files":
        # Routes to: file_manager/large_file_scanner.py

Mapping Table:

Intent	Action	Routes To
`system_control`	`sleep`	`tools/system_tools.py::sleep_pc()`
`system_control`	`lock`	`tools/system_tools.py::lock_pc()`
`diagnostics`	`check_cpu`	`tools/diagnostics_tools.py::get_cpu_usage()`
`diagnostics`	`check_ram`	`tools/diagnostics_tools.py::get_ram_usage()`
`file_management`	`find_duplicates`	`file_manager/duplicate_detector.py`
`file_management`	`organize_by_type`	`file_manager/file_organizer.py`
`installer`	`install_software`	`installer/installer.py`
`vision_analysis`	`analyze_screen`	`troubleshooter/vision_analyzer.py`
`personalization`	`toggle_dark_mode`	`personalisation/personalisation_tools.py`

STEP 6: TOOLS - ACTUAL EXECUTION

The router calls the actual tool functions that perform the work:

System Tools (`tools/system_tools.py`)

def sleep_pc():
    """Put system to sleep"""
    os.system("rundll32.exe powrprof.dll,SetSuspendState 0,1,0")

def lock_pc():
    """Lock the workstation"""
    os.system("rundll32.exe user32.dll,LockWorkStation")

def kill_process(process_name):
    """Kill a running process"""
    os.system(f"taskkill /IM {process_name} /F")

Diagnostics Tools (`tools/diagnostics_tools.py`)

def get_cpu_usage():
    """Get CPU metrics using psutil"""
    cpu_percent = psutil.cpu_percent(interval=1)
    cpu_count = psutil.cpu_count()
    per_cpu = psutil.cpu_percent(interval=1, percpu=True)
    return {
        "cpu_percent": cpu_percent,
        "cpu_count": cpu_count,
        "per_cpu": per_cpu
    }

def get_ram_usage():
    """Get RAM metrics"""
    ram = psutil.virtual_memory()
    return {
        "total_gb": round(ram.total / (1024**3), 2),
        "used_gb": round(ram.used / (1024**3), 2),
        "available_gb": round(ram.available / (1024**3), 2),
        "percent": ram.percent
    }

File Manager Tools (`file_manager/`)

# duplicate_detector.py
def find_duplicates(folder_path):
    """Find duplicate files by hash comparison"""
    # Returns: {duplicates_found, groups, total_size}

# file_organizer.py
def organize_files(folder_path, strategy="by_type"):
    """Organize files into subfolders"""
    # Returns: {files_moved, new_folders_created}

# large_file_scanner.py
def find_large_files(folder_path, min_size_mb=100):
    """Find large files"""
    # Returns: {large_files, total_space}

Vision Tools (`troubleshooter/`, `vision/`)

def capture_screen_base64():
    """Take screenshot and convert to base64"""
    # Returns: base64_encoded_image

def analyze_screen_with_gemini(image_base64):
    """Send screenshot to Google Gemini for analysis"""
    # Returns: {analysis, problems_detected, solutions}

def install_app(app_name):
    """Install app using winget"""
    # Returns: {status, version, message}

STEP 7: OUTPUT DISPLAY

Results are displayed in multiple formats:

📊 RESULT DISPLAY:

🖥️ CPU USAGE
├─ Usage: 45.2%
├─ Cores: 8
└─ Per-Core: [10.5, 45.2, 32.1, 28.0, 15.3, 38.9, 42.1, 22.5]

Memory Usage: 12.5 GB / 32 GB (39%)

💾 Disk Space (C:)
├─ Used: 256 GB
├─ Free: 244 GB
└─ Usage: 51.2%

✅ Tasks Completed Successfully!

STEP 8: MEMORY STORAGE

All executions are persisted to agent_memory/:

// execution_history.json
[
  {
    "timestamp": "2026-03-28T10:30:45.123456",
    "plan_id": "abc12345",
    "user_input": "find duplicate files in Downloads",
    "goal": "find duplicate files in Downloads",
    "summary": {
      "total_tasks": 2,
      "completed": 2,
      "failed": 0,
      "skipped": 0,
      "execution_time_seconds": 45.2
    }
  }
]

// context.json
{
  "last_command": {
    "value": "find duplicate files in Downloads",
    "timestamp": "2026-03-28T10:30:45.123456"
  },
  "user_theme": {
    "value": "dark",
    "timestamp": "2026-03-28T09:15:00.000000"
  }
}

// preferences.json
{
  "auto_confirm": {
    "value": false,
    "timestamp": "2026-03-28T08:00:00.000000"
  }
}

Benefits:

Learn from past executions
Provide context for future commands
Track user preferences
Enable statistics and reporting

💻 Core Components

1. MasterAgent (`agent/master_agent.py`)

Role: Central orchestrator - ties everything together

Main Methods:

process_command(user_input) - Entry point for all user input
_extract_goal(user_input) - Uses LLM to understand intent
_get_execution_report(plan) - Generates detailed report

Responsibilities:

Receive user input
Extract goal using LLM
Create task plans
Execute plans
Store results in memory
Provide feedback to user

Example Usage:

agent = MasterAgent()
result = agent.process_command("Check my disk space", auto_confirm=False)
print(result)

2. TaskPlanner (`agent/task_planner.py`)

Role: Breaks down complex goals into executable tasks

Main Methods:

plan_goal(user_input, goal) - Create task plan
_decompose_goal(goal) - Use LLM to decompose
_validate_task(task) - Verify task structure

Responsibilities:

Understand decomposition of goals
Create TaskPlan with ordered tasks
Assign dependencies
Mark confirmation requirements
Set priorities

Example Task Structure:

{
    "order": 1,
    "intent": "diagnostics",
    "action": "check_cpu",
    "parameters": {},
    "description": "Check CPU usage",
    "priority": "high",
    "depends_on": [],
    "requires_confirmation": False
}

3. ExecutionEngine (`agent/execution_engine.py`)

Role: Executes task plans with error handling

Main Methods:

execute_plan(plan, auto_confirm) - Run all tasks
_execute_single_task(task, auto_confirm) - Run one task
get_execution_report(plan) - Generate report

Responsibilities:

Execute tasks sequentially
Validate dependencies
Handle confirmations
Catch and log errors
Retry failed tasks
Generate detailed reports

Features:

Dependency tracking
Timeout protection
Retry logic
Dry-run mode
Comprehensive logging

4. IntentRouter (`router/intent_router.py`)

Role: Dispatcher that routes tasks to correct tools

Main Methods:

route_intent(command) - Route to handler
_validate_intent(intent, action) - Validate command
_handle_[intent_name](action, params) - Handler for each intent

Responsibilities:

Validate intent and action
Map to correct handler
Pass parameters
Error handling

Supported Intents:

• help
• open_app
• web_search
• system_control
• diagnostics
• disk_analysis
• maintenance
• health_check
• troubleshoot_screen
• vision_analysis
• personalization
• file_management
• system_config
• installer

5. MemoryManager (`agent/memory_manager.py`)

Role: Persistent storage and context management

Main Methods:

save_execution(plan) - Log execution
save_plan(plan) - Save task plan
add_to_context_chain(text, role) - Store context
get_execution_history(limit) - Retrieve history

Stored Data:

execution_history.json - All past executions
context.json - Conversation context
plans.json - Task plans
preferences.json - User preferences

6. VoiceListener (`voice/voice_listener.py`)

Role: Microphone input and speech-to-text

Main Methods:

listen() - Record and transcribe
_record_until_silence() - Audio capture
_transcribe(audio_data) - Send to Groq Whisper

Features:

Auto-stop on silence
Noise detection
Groq Whisper large-v3 API
Configurable thresholds

7. LLM Clients (`llm/`)

GroqClient (`llm/groq_client.py`)

Uses Groq API for fast LLM inference
For task planning and goal extraction
Also provides speech-to-text via Whisper

GeminiClient (`llm/gemini_client.py`)

Uses Google Gemini for vision tasks
Screenshot analysis
Problem detection

📚 Concrete Examples

Example 1: Simple Diagnostic Command

User Input:

"Check my CPU usage"

Processing:

Step 1: MasterAgent receives input
  ↓
Step 2: Extract Goal (LLM)
  Input: "Check my CPU usage"
  LLM Response: {
    "intent": "diagnostics",
    "action": "check_cpu",
    "confidence": 0.99
  }
  Display: 🎯 Goal: Check CPU usage
          🔍 Confidence: 99%
  ↓
Step 3: TaskPlanner creates plan
  Output: 1 task
  {
    "intent": "diagnostics",
    "action": "check_cpu",
    "parameters": {},
    "description": "Check current CPU usage"
  }
  Display: 📄 Created plan with 1 task
  ↓
Step 4: ExecutionEngine executes
  Task 1: Check CPU
    └─ Running...
  ↓
Step 5: IntentRouter routes to diagnostics handler
  intent=diagnostics, action=check_cpu
  └─ Call: tools/diagnostics_tools.py::get_cpu_usage()
  ↓
Step 6: Tool executes
  psutil.cpu_percent(interval=1) → 45.2%
  psutil.cpu_count() → 8
  psutil.cpu_percent(percpu=True) → [10.5, 45.2, ...]
  
  Return: {
    "cpu_percent": 45.2,
    "cpu_count": 8,
    "per_cpu": [10.5, 45.2, 32.1, 28.0, 15.3, 38.9, 42.1, 22.5]
  }
  ↓
Step 7: Display output
  🖥️ CPU USAGE
  ├─ Usage: 45.2%
  ├─ Cores: 8
  └─ Per-Core: [10.5, 45.2, 32.1, 28.0, 15.3, 38.9, 42.1, 22.5]
  ↓
Step 8: Store in memory
  execution_history.json updated
  ✅ EXECUTION COMPLETE

Example 2: Complex Multi-Step Task

User Input:

"Organize my Downloads, find duplicate files, and tell me how much space they use"

Processing:

Step 1-2: MasterAgent extracts goal
  LLM Response: {
    "intent": "mixed",
    "goal": "organize downloads and manage duplicates",
    "is_complex": true
  }
  Display: 🎯 Goal: organize downloads and manage duplicates
          🔍 Confidence: 92%
  ↓
Step 3: TaskPlanner decomposes into 3 tasks
  
  Task 1: Organize Files
  {
    "order": 1,
    "intent": "file_management",
    "action": "organize_by_type",
    "parameters": {"folder_name": "Downloads"},
    "priority": "high"
  }
  
  Task 2: Find Duplicates
  {
    "order": 2,
    "intent": "file_management",
    "action": "find_duplicates",
    "parameters": {"folder_name": "Downloads"},
    "depends_on": [],
    "priority": "high"
  }
  
  Task 3: Analyze Disk Usage
  {
    "order": 3,
    "intent": "disk_analysis",
    "action": "analyze_usage",
    "parameters": {"folder_name": "Downloads"},
    "depends_on": [],
    "priority": "medium"
  }
  
  Display: 📄 Created plan with 3 tasks
  ↓
Step 4: ExecutionEngine executes sequentially
  
  ════════════════════════════════════════════
  📋 TASK PLAN: organize downloads and manage duplicates
  ════════════════════════════════════════════
  Total Tasks: 3
  
  ─── TASK 1/3: Organize files by type ──────
  Status: RUNNING...
    └─ Scanning Downloads folder...
    └─ Found: 342 files
    └─ Creating folders: Documents, Images, Videos, Archives, Code
    └─ Moving files...
  Status: ✓ COMPLETED
    └─ Files organized: 342
    └─ New folders created: 5
    └─ Time taken: 8.2 seconds
  
  ─── TASK 2/3: Find duplicate files ────────
  Status: RUNNING...
    └─ Scanning Downloads folder...
    └─ Computing file hashes...
    └─ Comparing hashes...
  Status: ✓ COMPLETED
    └─ Duplicates found: 23
    └─ Total duplicate size: 845 MB
    └─ Time taken: 15.3 seconds
  
  ─── TASK 3/3: Analyze disk usage ─────────
  Status: RUNNING...
    └─ Calculating folder size...
  Status: ✓ COMPLETED
    └─ Used: 12.5 GB
    └─ Total: 100 GB
    └─ Usage: 12.5%
    └─ Time taken: 3.1 seconds
  
  ════════════════════════════════════════════
  ✅ EXECUTION COMPLETE
  ════════════════════════════════════════════
  Total: 3 | ✓ Completed: 3 | ✗ Failed: 0 | ⏭️  Skipped: 0
  ════════════════════════════════════════════
  ↓
Step 5-8: Display & Storage
  📊 SUMMARY REPORT
  ──────────────────────────────────────────
  ✅ All tasks completed successfully
  
  Task Results:
    1. Organized 342 files into 5 categories
    2. Found 23 duplicate files (845 MB)
    3. Downloads folder: 12.5 GB of 100 GB (12.5%)
  
  Execution Time: 26.6 seconds
  Status: SUCCESS
  ──────────────────────────────────────────
  
  execution_history.json updated with all results

Example 3: Voice Input with Confirmation

User Speaks:

"Install Discord"

Processing:

Step 1: VoiceListener captures audio
  🎤 Listening... (speak now, auto-stops on silence)
  [User speaks: "install discord"]
  📝 You said: "install discord"
  ↓
Step 2: MasterAgent receives text
  Input: "install discord"
  ↓
Step 3: Extract Goal (LLM)
  LLM Response: {
    "intent": "installer",
    "action": "install_software",
    "parameters": {"app_name": "Discord"},
    "requires_safety_check": true
  }
  Display: 🎯 Goal: Install Discord
          🔍 Confidence: 98%
          ⚠️ This operation involves system changes
  ↓
Step 4: TaskPlanner creates plan
  {
    "intent": "installer",
    "action": "install_software",
    "parameters": {"app_name": "Discord"},
    "requires_confirmation": true
  }
  Display: 📄 Created plan with 1 task
  ↓
Step 5: ExecutionEngine executes
  Before executing, asks for confirmation!
  
  ──────────────────────────────────────────
  📦 TASK: Install Discord
  ──────────────────────────────────────────
  
  ⚠️ This task requires confirmation
  
  About to execute:
    • Download Discord installer
    • Execute installation
    • Verify installation
  
  Continue? (y/n): y
  ↓
Step 6: IntentRouter routes
  intent=installer, action=install_software
  └─ Call: installer/installer.py::install_app("Discord")
  ↓
Step 7: Tool executes
  Using Windows Package Manager (winget):
  $ winget install Discord
  
  [==================================================] 100%
  
  Discord 0.0.301 installed successfully
  
  Return: {
    "status": "installed",
    "version": "0.0.301",
    "path": "C:\\Users\\..\\Discord"
  }
  ↓
Step 8: Display output
  ✅ Successfully installed Discord v0.0.301
  
  Installation Details:
    • Package: Discord
    • Version: 0.0.301
    • Location: C:\Users\ASUS\AppData\Local\Discord
    • Time taken: 45.2 seconds
  
  ✅ EXECUTION COMPLETE
  ↓
Step 9: Store in memory
  execution_history.json updated

Example 4: Troubleshooting Workflow

User Input:

"My screen looks broken, can you fix it?"

Processing:

Step 1-3: MasterAgent extracts & plans
  LLM Response: {
    "intent": "troubleshoot_screen",
    "goal": "analyze screen issues and provide solutions"
  }
  
  TaskPlan: 4 tasks
    1. Capture screenshot
    2. Analyze with vision AI
    3. Identify problems
    4. Suggest solutions (+ auto-fix if user approves)
  ↓
Step 4: ExecutionEngine executes
  
  TASK 1: Capture Screenshot
    Status: RUNNING...
      └─ Using mss to capture screen
      └─ Converting to base64
    Status: ✓ COMPLETED (2.1 seconds)
  
  TASK 2: Vision Analysis
    Status: RUNNING...
      └─ Sending screenshot to Google Gemini
      └─ Analyzing image...
    Status: ✓ COMPLETED
    Result: {
      "issues": [
        "Color banding on right side",
        "Flickering at bottom",
        "Oversaturation in blues"
      ]
    }
  
  TASK 3: Identify Root Causes
    Status: ✓ COMPLETED
    LLM Analysis: {
      "root_causes": [
        {
          "issue": "Color banding",
          "cause": "Outdated GPU driver",
          "severity": "high"
        },
        {
          "issue": "Flickering",
          "cause": "Refresh rate mismatch",
          "severity": "medium"
        }
      ]
    }
  
  TASK 4: Generate Solutions
    Status: ✓ COMPLETED
    Solutions:
      1. Update GPU drivers (Recommended - High Impact)
      2. Change refresh rate to 60Hz (Medium Impact)
      3. Disable V-Sync (Low Impact)
  ↓
Step 5-7: Display & get user approval
  
  🔍 SCREEN ANALYSIS RESULTS
  ════════════════════════════════════════════
  
  Issues Detected:
    ⚠️ Color banding on right side
    ⚠️ Flickering at bottom
    ⚠️ Oversaturation in blues
  
  Root Causes:
    🔧 Outdated GPU driver (HIGH PRIORITY)
    🔧 Refresh rate mismatch (MEDIUM)
    🔧 V-Sync settings (LOW)
  
  Solutions (in priority order):
    1️⃣ Update GPU Drivers ⭐ RECOMMENDED
       • Download latest driver from NVIDIA/AMD
       • Install & restart system
       • Expected result: Fix 80% of issues
    
    2️⃣ Change Refresh Rate to 60Hz
       • Settings → Display → Refresh Rate
       • Expected result: Fix flickering
    
    3️⃣ Disable V-Sync
       • Graphics settings → Advanced
       • Expected result: Minor improvement
  
  ════════════════════════════════════════════
  
  Auto-fix recommended solutions? (y/n): y
  ↓
Step 8: Apply fixes
  
  Executing auto-fixes...
  
  FIX 1: Update GPU Driver
    └─ Detecting GPU: NVIDIA GeForce RTX 3070
    └─ Current driver: 551.44
    └─ Latest driver: 563.41
    └─ Downloading...
    └─ Installing...
    └─ ✓ Driver updated successfully!
    └─ ⚠️ Restart required
  
  FIX 2: Change Refresh Rate
    └─ Current: 50 Hz
    └─ Setting to: 60 Hz
    └─ ✓ Changes applied
  
  FIX 3: V-Sync Disabled
    └─ ✓ V-Sync disabled in GPU control panel
  
  ════════════════════════════════════════════
  ✅ AUTO-FIXES COMPLETED
  ════════════════════════════════════════════
  
  Summary:
    ✓ GPU driver updated
    ✓ Refresh rate changed to 60Hz
    ✓ V-Sync disabled
    
  Please restart your PC for changes to take effect.
  ↓
Step 9: Store results
  execution_history.json updated

�️ Complete Tools & Layers Reference

This section provides exhaustive details on all tool modules and their functions. No detail is left out.

LAYER 1: SYSTEM CONTROL TOOLS (`tools/system_tools.py`)

Functions:

Function	Parameters	What It Does	Example
`sleep_pc()`	None	Puts PC to sleep mode	`sleep_pc()`
`lock_pc()`	None	Locks the workstation (shows login)	`lock_pc()`
`kill_process()`	`process_name: str`	Terminates a running process	`kill_process("chrome.exe")`
`clean_temp()`	None	Deletes temporary files from system TEMP folder	`clean_temp()`
`empty_recycle_bin()`	None	Empties the Windows Recycle Bin permanently	`empty_recycle_bin()`

Example Usage Flow:

User: "Put my PC to sleep"
    ↓
TaskPlanner: {intent: "system_control", action: "sleep"}
    ↓
ExecutionEngine: Requires confirmation
    ↓
IntentRouter: Routes to system_tools.sleep_pc()
    ↓
Result: PC enters sleep mode

LAYER 2: DIAGNOSTICS TOOLS (`tools/diagnostics_tools.py`)

Functions:

CPU Diagnostics

def get_cpu_usage() -> dict

Returns real-time CPU metrics using psutil.

Output:

{
  "cpu_percent": 45.2,
  "cpu_count": 8,
  "per_cpu": [10.5, 45.2, 32.1, 28.0, 15.3, 38.9, 42.1, 22.5]
}

RAM Diagnostics

def get_ram_usage() -> dict

Returns memory usage statistics.

Output:

{
  "total_gb": 32.0,
  "used_gb": 12.5,
  "available_gb": 19.5,
  "percent": 39.1
}

Disk Diagnostics

def get_disk_usage(drive: str = "C:") -> dict

Returns storage information for a specific drive.

Output:

{
  "total_gb": 500.0,
  "used_gb": 256.0,
  "free_gb": 244.0,
  "percent": 51.2
}

Complete System Health

def get_complete_system_health() -> dict

Comprehensive health check combining CPU, RAM, Disk, and alerts.

Output:

{
  "cpu": {...},
  "ram": {...},
  "disk": {...},
  "alerts": ["Disk usage above 70%", "Temperature normal"],
  "overall_status": "good"
}

Disk Analysis

def analyze_disk_usage(drive: str = "C:") -> dict

Detailed disk usage analysis with breakdown by folder type.

Large Files Finding

def find_large_folders(drive: str = "C:", limit: int = 10) -> dict

Finds the largest folders consuming disk space.

File Scanning

def scan_cleanup_files(folder: str = "C:\\") -> dict

Scans for old and temporary files suitable for cleanup.

LAYER 3: APPLICATION TOOLS (`tools/app_tools.py`)

Functions:

def open_app(app_name: str)

Supported Apps:

APP_PATHS = {
    "chrome": r"C:\Program Files\Google\Chrome\Application\chrome.exe",
    "notepad": r"C:\Windows\System32\notepad.exe",
    "calculator": r"C:\Windows\System32\calc.exe",
    "cmd": r"C:\Windows\System32\cmd.exe",
    ... (more can be added)
}

Usage:

User: "Open Chrome"
    ↓
route_intent(intent="open_app", parameters={"app_name": "Chrome"})
    ↓
open_app("chrome")
    ↓
Chrome browser launches

LAYER 4: WEB TOOLS (`tools/web_tools.py`)

Functions:

def search_web(query: str)

Opens Google search in default browser for the given query.

Usage:

User: "Search for Python tutorial"
    ↓
search_web("Python tutorial")
    ↓
Browser opens: https://www.google.com/search?q=Python+tutorial

LAYER 5: SYSTEM CONFIG TOOLS (`tools/system_config.py`)

Functions:

Function	Purpose	Output
`get_system_config()`	Get complete system info	`{os, processor, ram, disk, hostname, ...}`
`print_system_config()`	Display system info in formatted table	Prints to console

Typical Output:

Operating System: Windows 11 Pro
Processor: Intel Core i7-10700K
RAM: 32 GB
Disk Space: 500 GB (256 GB used)
Hostname: DESKTOP-ABC123
Username: ASUS
Python Version: 3.11.0
...

LAYER 6: FILE MANAGER TOOLS (`file_manager/`)

The file manager is modular with multiple sub-components:

6a. Manager Core (`file_manager/manager.py`)

Main Class: FileManager

Public Methods:

class FileManager:
    def load_folder(self, folder_name: str) -> Dict
    def analyze_folder(self) -> Dict
    def scan_large_files(self, min_size_mb: float = 100, limit: int = 20) -> Dict
    def scan_duplicates(self, by_name: bool = False) -> Dict
    def remove_duplicates(self, dry_run: bool = True) -> Dict
    def organize_files(self, strategy: str = "by_type", dry_run: bool = False) -> Dict
    def get_comprehensive_report(self) -> Dict

6b. File Organizer (`file_manager/file_organizer.py`)

Main Function:

def organize_files_by_type(folder_path: Path, dry_run: bool = False) -> Dict

File Categories Created:

Category	Extensions
Images	.jpg, .jpeg, .png, .gif, .bmp, .svg, .webp, .ico
Documents	.pdf, .doc, .docx, .txt, .xlsx, .xls, .ppt, .pptx
Videos	.mp4, .avi, .mkv, .mov, .wmv, .flv, .webm
Audio	.mp3, .wav, .flac, .aac, .m4a, .ogg, .wma
Archives	.zip, .rar, .7z, .tar, .gz, .bz2
Code	.py, .js, .java, .cpp, .c, .html, .css, .php, .go, .rs
Data	.json, .xml, .csv, .sql, .db
Executables	.exe, .bat, .sh, .msi, .app
Others	Everything else

Output Example:

{
  "total_files_processed": 342,
  "files_moved": 338,
  "organization_map": {
    "Images": 125,
    "Documents": 87,
    "Videos": 65,
    "Audio": 32,
    "Archives": 18,
    "Code": 10,
    "Others": 5
  },
  "errors": []
}

6c. Duplicate Detector (`file_manager/duplicate_detector.py`)

Main Function:

def find_duplicates(folder_path: Path, by_name: bool = False) -> Dict

Detection Methods:

By Hash (default): Compares SHA256 hash of files (most accurate)
By Name: Groups files with identical names

Output Example:

{
  "total_files": 542,
  "duplicates_found": true,
  "duplicate_groups": [
    {
      "hash_or_name": "abc123...",
      "files": [
        "/path/to/photo1.jpg",
        "/path/to/photo1_copy.jpg",
        "/path/to/photo1_backup.jpg"
      ],
      "count": 3,
      "size_per_file": 2500000,
      "total_duplicate_size": 5000000
    }
  ],
  "total_duplicate_files": 23,
  "space_savings": 845000000
}

Duplicate Removal:

def remove_duplicates(folder_path: Path, dry_run: bool = True) -> Dict

Identifies largest duplicate set and removes, keeping one master copy.

6d. Large File Scanner (`file_manager/large_file_scanner.py`)

Main Function:

def find_large_files(folder_path: Path, min_size_mb: float = 100, limit: int = 20) -> Dict

Output Example:

{
  "total_files": 10234,
  "large_files_found": 45,
  "large_files": [
    {
      "path": "C:/Users/.../Downloads/movie.mp4",
      "name": "movie.mp4",
      "size_bytes": 2147483648,
      "size_mb": 2048,
      "size_gb": 2.0
    },
    {
      "path": "C:/Users/.../Documents/backup.iso",
      "name": "backup.iso",
      "size_bytes": 1073741824,
      "size_mb": 1024,
      "size_gb": 1.0
    }
  ],
  "total_scanned_size_mb": 125000.00
}

6e. Folder Finder (`file_manager/folder_finder.py`)

Main Function:

def find_folder(folder_name: str) -> Optional[Path]

Search Locations (in order):

Current working directory
Parent of current directory
Desktop
Downloads
Documents
User home directory

Usage:

path = find_folder("Downloads")  # Returns: Path object or None

6f. Folder Information (`file_manager/folder_finder.py`)

Function:

def get_folder_info(folder_path: Path) -> dict

Output:

{
  "folder_name": "Downloads",
  "folder_path": "C:/Users/ASUS/Downloads",
  "file_count": 342,
  "subfolder_count": 12,
  "total_size_mb": 12500,
  "total_size_gb": 12.5,
  "file_size_breakdown": {
    "< 1MB": 150,
    "1-10MB": 100,
    "10-100MB": 65,
    "> 100MB": 27
  }
}

LAYER 7: PERSONALIZATION TOOLS (`personalisation/personalisation_tools.py`)

Functions:

Dark Mode / Light Mode

def toggle_dark_mode(enable: bool = True) -> dict

Output:

{
  "success": true,
  "message": "✅ Switched to 🌙 DARK MODE",
  "mode": "dark"
}

def get_current_theme() -> dict

Output:

{
  "success": true,
  "current_theme": "dark"
}

Wallpaper Management

def set_wallpaper(image_path: str) -> dict

Usage:

result = set_wallpaper("C:/Users/ASUS/Pictures/sunset.jpg")

Output:

{
  "success": true,
  "message": "✅ Wallpaper changed to: sunset.jpg",
  "wallpaper_path": "C:/Users/ASUS/Pictures/sunset.jpg"
}

Display Brightness

def set_display_brightness(brightness: int) -> dict

Parameters: brightness (0-100)

Usage:

set_display_brightness(75)  # Set to 75%

Output:

{
  "success": true,
  "brightness": 75,
  "message": "✅ Brightness set to 75%"
}

Theme/Color Management

def set_accent_color(color: str) -> dict
def apply_theme_preset(theme_name: str) -> dict

Profile Management

def save_personalization_profile(profile_name: str) -> dict
def load_personalization_profile(profile_name: str) -> dict

System Settings

def manage_startup_apps(action: str, app_name: str) -> dict
def set_default_app(app_type: str, app_name: str) -> dict

LAYER 8: TROUBLESHOOTER TOOLS (`troubleshooter/`)

8a. Screenshot Tool (`troubleshooter/screenshot_tool.py`)

Function:

def capture_screen_base64() -> str

Output: Base64-encoded PNG image string (for sending to vision API)

Usage:

screenshot_b64 = capture_screen_base64()
# Send to Gemini Vision API

8b. Vision Analyzer (`troubleshooter/vision_analyzer.py`)

Class: VisionAnalyzer

Main Method:

def analyze_screenshot_for_issues(screenshot_path: str) -> dict

Output Example:

{
  "issues_detected": [
    {
      "type": "color_banding",
      "severity": "high",
      "description": "Color banding visible on right side of screen",
      "region": "right_half"
    },
    {
      "type": "flickering",
      "severity": "medium",
      "description": "Screen flickering detected at bottom",
      "region": "bottom_quarter"
    }
  ],
  "recommendations": [
    "Update GPU drivers",
    "Check refresh rate settings",
    "Test monitor cable"
  ],
  "root_causes": [
    "Outdated GPU driver",
    "Refresh rate mismatch",
    "Cable interference"
  ]
}

8c. Solution Parser (`troubleshooter/solution_parser.py`)

Function:

def parse_solution(raw_response: str) -> dict

Converts LLM response to structured JSON with solutions.

Output:

{
  "solutions": [
    {
      "title": "Update GPU Drivers",
      "steps": [
        "Go to Device Manager",
        "Find Display adapters",
        "Right-click GPU → Update driver",
        "Select 'Search automatically'"
      ],
      "priority": "high",
      "estimated_time": "10 minutes"
    }
  ]
}

8d. Auto-Fix Engine (`troubleshooter/auto_fix_engine.py`)

Function:

def execute_fixes(commands: list)

Executes PowerShell commands to automatically apply fixes.

Command Format:

commands = [
    {
        "command": "Update-WmiObject ...",
        "requires_admin": True,
        "description": "Update GPU driver"
    },
    {
        "command": "Set-ItemProperty ...",
        "requires_admin": True,
        "description": "Change refresh rate"
    }
]

Admin Detection:

def is_admin() -> bool

Returns whether current user has admin privileges.

LAYER 9: VISION TOOLS (`vision/vision_engine.py`)

Functions:

Screen Capture

def capture_screen() -> tuple[Path, str]

Returns: (path_to_screenshot.png, timestamp_iso)

Screen Analysis with Gemini

def analyze_screen(
    image_path: Path,
    user_query: str = "What is on this screen?",
    api_key: str = None,
    model: str = "gemini-2.5-flash"
) -> dict

Output Example:

{
  "timestamp_iso": "2026-03-28T10:30:45Z",
  "screen_summary": "Windows desktop with Chrome browser open showing Google homepage",
  "window_title_or_app": "Google - Google Chrome",
  "detected_buttons": [
    {
      "label": "Search",
      "context": "Main search bar",
      "action_hint": "Perform search"
    },
    {
      "label": "Sign in",
      "context": "Top right corner",
      "action_hint": "Open Google account login"
    }
  ],
  "detected_options": [
    {
      "label": "Settings",
      "type": "menu",
      "context": "Top navigation"
    }
  ],
  "visible_text_regions": [
    {
      "text": "Google Search",
      "role": "heading"
    }
  ],
  "possible_errors_or_alerts": [],
  "accessibility_hints": "Standard web page layout, no modals or dialogs detected"
}

Output Saving:

vision_output/
├── analysis_20260228T100030Z.json     # Gemini analysis
├── ocr_analysis_20260228T100030Z.json # OCR results
└── screenshots/
    └── screen_20260228_100030.png     # Actual screenshot

LAYER 10: INSTALLER TOOLS (`installer/`)

The installer system is comprehensive with multiple components:

10a. Main Installer Agent (`installer/installer.py`)

Class: InstallerAgent

Methods:

def install_wallpaper(query: str, folder: str = None, auto_set: bool = False) -> Dict

Example:

result = installer.install_wallpaper("sunset landscape", auto_set=True)

Output:

{
  "status": "success",
  "wallpaper_path": "/path/to/sunset.jpg",
  "from_cache": false,
  "auto_set": true,
  "message": "Downloaded sunset.jpg and set as background"
}

def install_software(app_name: str, version: str = "latest") -> Dict

Example:

result = installer.install_software("Discord")

Uses: Windows Package Manager (winget)

Output:

{
  "status": "success",
  "app_name": "Discord",
  "version": "0.0.301",
  "install_path": "C:\\Users\\ASUS\\AppData\\Local\\Discord",
  "message": "Successfully installed Discord v0.0.301"
}

10b. Resource Finder (`installer/resource_finder.py`)

Class: ResourceFinder

Methods:

def find_resource(query: str, resource_type: str) -> Optional[Dict]

Supported Resource Types:

"wallpaper" - Desktop wallpapers
"software" - Software packages
"image" - General images
"document" - Documents

Sources (Priority Order):

Unsplash API (highest quality images)
Pexels API
Pixabay
Google Images

Output Example:

{
  "name": "Beautiful Sunset",
  "url": "https://images.unsplash.com/...",
  "size": "2.5MB",
  "quality": "high",
  "format": "jpg",
  "source": "unsplash",
  "filename": "beautiful_sunset.jpg"
}

10c. Downloader (`installer/downloader.py`)

Class: Downloader

Methods:

def download_file(
    url: str,
    filename: str = None,
    folder: str = None,
    on_progress: Callable = None,
    show_progress: bool = True
) -> Dict

Features:

Progress tracking with callbacks
Resume capability for interrupted downloads
Automatic retry (3 attempts)
Timeout protection (30 seconds)
File verification

Output:

{
  "status": "success",
  "path": "/Downloads/file.jpg",
  "size": 2500000,
  "message": "Downloaded 2.5MB successfully"
}

10d. Cache Manager (`installer/cache_manager.py`)

Class: CacheManager

Methods:

def get_cached_resource(resource_id: str) -> Optional[Dict]

Returns: Cached resource if available and not expired (30 days default)

Output:

{
  "path": "/cache/wallpaper_sunset.jpg",
  "cached_at": "2026-02-28T14:30:00",
  "size": 2500000,
  "metadata": {
    "query": "sunset landscape",
    "source": "unsplash"
  }
}

def cache_resource(resource_id: str, filepath: str, metadata: Dict) -> bool

Stores resource in cache with metadata.

def clear_cache() -> bool
def get_cache_info() -> Dict

Cache Storage:

~/.jarvis_cache/installer/
├── cache_metadata.json       # Metadata index
└── [cached files]

LAYER 11: UTILITIES (`utils/`)

JSON Parser (`utils/json_parser.py`)

Function:

def extract_json(response: str) -> dict

Extracts JSON from LLM responses (handles markdown code fences, etc.)

Prompt Loader (`utils/prompt_loader.py`)

Function:

def load_prompt(filepath: str) -> str

Loads prompt templates from prompts/ directory.

Stored Prompts:

prompts/system_prompt.txt - System behavior guide
prompts/command_prompt.txt - Command template

System Monitor (`utils/system_monitor.py`)

Functions:

Real-time performance monitoring
Alert generation for threshold violations
Resource tracking

LAYER 12: HELPER TOOLS (`tools/help_commands.py`)

Functions:

def print_help()
def show_command_examples()
def get_intent_description(intent: str) -> str

Provides user-facing help documentation.

�📁 File Structure Reference

📁 Complete File Structure Reference

Entry Points & Launchers

main.py                          # CLI entry point (text mode)
run_jarvis.py                    # GUI launcher (selector: GUI/CLI/Voice)
QUICK_REFERENCE.py               # Quick command reference
todo.md                          # Project tasks
README.md                        # Project overview
requirements.txt                 # Python dependencies

Agent Core Architecture (`agent/`)

agent/
 ├─ master_agent.py             # MAIN: Central orchestrator (58-258 lines)
 │   ├── process_command()       # Entry point for all input
 │   ├── _extract_goal()         # LLM: Understand intent
 │   ├── get_execution_history() # Retrieve past executions
 │   ├── get_execution_stats()   # Statistics
 │   └── get_context_summary()   # Current context
 │
 ├─ task_planner.py             # PLANNING: Decomposes goals (268 lines)
 │   ├── plan_goal()             # Create TaskPlan
 │   ├── _decompose_goal()       # LLM: Break into tasks
 │   ├── _create_fallback_task() # Fallback if decomposition fails
 │   └── _validate_task()        # Verify task structure
 │
 ├─ execution_engine.py          # EXECUTION: Runs tasks (298 lines)
 │   ├── execute_plan()          # Execute all tasks
 │   ├── _execute_single_task()  # Run one task with error handling
 │   ├── _display_task_list()    # Show tasks to user
 │   ├── get_execution_report()  # Generate final report
 │   └── TaskExecutionPhase      # Tracking: VALIDATION, CONFIRMATION, EXECUTION, RESULT_PROCESSING
 │
 ├─ memory_manager.py            # PERSISTENCE: Storage (231 lines)
 │   ├── save_execution()        # Log execution to history
 │   ├── save_plan()             # Save task plan
 │   ├── add_to_context_chain()  # Store conversation context
 │   ├── get_execution_history() # Retrieve past executions
 │   ├── get_execution_stats()   # Get statistics
 │   └── get_context()           # Retrieval of stored context
 │
 ├─ task.py                      # DATA STRUCTURES
 │   ├── Task                    # Single task representation
 │   ├── TaskPlan                # Collection of tasks with dependencies
 │   ├── TaskStatus              # PENDING, RUNNING, COMPLETED, FAILED, SKIPPED
 │   └── TaskPriority            # HIGH, MEDIUM, LOW
 │
 └─ __init__.py                  # Module initialization

UI Layer (`ui/`)

ui/
 ├─ app.py                       # MAIN APP: GUI application (100 lines)
 │   ├── JarvisGUIApp            # Main GUI class
 │   ├── __init__()              # Initialize UI components
 │   ├── show_chat_card()        # Display chat interface
 │   └── run()                   # Launch GUI
 │
 ├─ chat_card.py                 # CHAT INTERFACE: Message display
 │   ├── ChatCard                # Qt Dialog for chat
 │   ├── add_message()           # Display message
 │   ├── process_input()         # Handle user input
 │   └── update_voice_button()   # Voice input UI
 │
 ├─ __init__.py                  # Module init
 └─ README.md                    # UI documentation

Voice Input (`voice/`)

voice/
 ├─ voice_listener.py            # SPEECH-TO-TEXT (223 lines)
 │   ├── VoiceListener           # Main voice class
 │   ├── listen()                # Record and transcribe
 │   ├── _record_until_silence() # Audio capture
 │   ├── _transcribe()           # Send to Groq Whisper
 │   └── calibrate_silence_threshold()  # Auto-calibration
 │
 ├─ __init__.py                  # Module init
 └─ __pycache__/

Routing Layer (`router/`)

router/
 ├─ intent_router.py             # DISPATCHER (1132 lines) ⭐ LARGEST FILE
 │   ├── VALID_INTENTS           # All 14+ intents defined
 │   ├── route_intent()          # Main router
 │   ├── _validate_intent()      # Validate intent/action
 │   ├── _safe_execute()         # Error wrapper
 │   │
 │   ├── _handle_system_control() # System operations
 │   ├── _handle_diagnostics()   # CPU, RAM, Disk checks
 │   ├── _handle_disk_analysis() # Disk usage analysis
 │   ├── _handle_maintenance()   # Cleanup operations
 │   ├── _handle_health_check()  # System health
 │   ├── _handle_troubleshoot_screen()  # Vision troubleshooting
 │   ├── _handle_vision_analysis()      # Screen analysis
 │   ├── _handle_personalization()      # Theme, wallpaper, etc.
 │   ├── _handle_file_management()      # File operations
 │   ├── _handle_file_organization()    # Organize files
 │   ├── _handle_system_config()        # System info
 │   └── _handle_installer()            # Install apps/resources
 │
 └─ __pycache__/

LLM Clients (`llm/`)

llm/
 ├─ groq_client.py               # GROQ API (Fast inference + Whisper)
 │   ├── GroqClient              # Main class
 │   ├── generate()              # LLM inference
 │   └── transcribe()            # Audio transcription
 │
 ├─ gemini_client.py             # GOOGLE GEMINI API (Vision)
 │   ├── GeminiClient            # Main class
 │   ├── analyze_image()         # Image analysis
 │   └── extract_text()          # OCR
 │
 ├─ __init__.py                  # Module init
 └─ __pycache__/

System Tools (`tools/`)

tools/
 ├─ system_tools.py              # POWER & PROCESS CONTROL
 │   ├── sleep_pc()              # Sleep/suspend
 │   ├── lock_pc()               # Lock workstation
 │   ├── kill_process()          # Terminate process
 │   ├── clean_temp()            # Delete temp files
 │   └── empty_recycle_bin()     # Empty trash
 │
 ├─ app_tools.py                 # APPLICATION LAUNCHING
 │   ├── open_app()              # Launch application
 │   └── APP_PATHS               # Known app locations
 │
 ├─ web_tools.py                 # WEB OPERATIONS
 │   └── search_web()            # Google search
 │
 ├─ diagnostics_tools.py          # SYSTEM DIAGNOSTICS (810 lines)
 │   ├── get_cpu_usage()          # CPU metrics
 │   ├── get_ram_usage()          # Memory metrics
 │   ├── get_disk_usage()         # Storage metrics
 │   ├── get_complete_system_health()  # Full health check
 │   ├── analyze_disk_usage()     # Detailed disk analysis
 │   ├── find_large_folders()     # Large file finder
 │   ├── scan_cleanup_files()     # Old/temp file scanner
 │   ├── check_health_alerts()    # Alert system
 │   └── execute_cleanup()        # Cleanup executor
 │
 ├─ system_config.py             # SYSTEM INFORMATION
 │   ├── get_system_config()      # Full system info
 │   └── print_system_config()    # Formatted display
 │
 ├─ help_commands.py             # HELP SYSTEM
 │   ├── print_help()            # User-facing help
 │   └── show_command_examples() # Command examples
 │
 ├─ __init__.py                  # Module init
 └─ __pycache__/

File Manager (`file_manager/`)

file_manager/
 ├─ manager.py                   # MAIN MANAGER (208 lines)
 │   ├── FileManager             # Main class
 │   ├── load_folder()           # Load folder
 │   ├── analyze_folder()        # Comprehensive analysis
 │   ├── scan_large_files()      # Large file detection
 │   ├── scan_duplicates()       # Duplicate detection
 │   ├── remove_duplicates()     # Duplicate removal
 │   ├── organize_files()        # File organization
 │   └── get_comprehensive_report()  # Full report
 │
 ├─ file_organizer.py            # FILE ORGANIZATION (143 lines)
 │   ├── FILE_CATEGORIES         # 9 file categories
 │   ├── get_file_category()     # Classify file
 │   ├── organize_files_by_type()  # Main organizer
 │   └── get_organization_stats() # Statistics
 │
 ├─ duplicate_detector.py         # DUPLICATE FINDER (165 lines)
 │   ├── calculate_file_hash()   # SHA256 hash
 │   ├── find_duplicates()       # Detect duplicates
 │   ├── remove_duplicates()     # Delete duplicates
 │   └── get_space_savings()     # Storage saved
 │
 ├─ large_file_scanner.py         # LARGE FILE FINDER (163 lines)
 │   ├── find_large_files()      # Find files > N MB
 │   ├── get_folder_size_breakdown()  # Size distribution
 │   ├── FileInfo               # File data class
 │   └── format_file_size()     # Human-readable size
 │
 ├─ folder_finder.py              # FOLDER LOCATOR (101 lines)
 │   ├── find_folder()           # Search for folder
 │   ├── get_folder_info()       # Folder metadata
 │   └── search_locations        # Desktop, Downloads, Docs, etc.
 │
 ├─ llm_organizer.py             # AI-POWERED ORGANIZATION
 │   ├── prepare_files_for_llm()  # Prepare data
 │   └── generate_llm_prompt()    # Create prompt
 │
 ├─ demo_file_manager.py          # DEMO/TESTING
 ├─ __init__.py                   # Module init
 ├─ __pycache__/
 └─ README.md                     # Documentation

Troubleshooter (`troubleshooter/`)

troubleshooter/
 ├─ screenshot_tool.py           # SCREENSHOT CAPTURE
 │   └── capture_screen_base64() # PNG to base64
 │
 ├─ vision_analyzer.py           # SCREEN ANALYSIS
 │   ├── VisionAnalyzer          # Main class
 │   ├── analyze_screenshot_for_issues()  # Analyze issues
 │   └── detect_ui_elements()    # UI detection
 │
 ├─ solution_parser.py           # SOLUTION PARSING
 │   └── parse_solution()        # LLM response to JSON
 │
 ├─ auto_fix_engine.py           # AUTO-FIX EXECUTION
 │   ├── execute_fixes()         # Run commands
 │   ├── run_command()           # Execute PowerShell
 │   ├── run_command_as_admin()  # Admin execution
 │   └── is_admin()              # Check privileges
 │
 └─ __pycache__/

Vision Engine (`vision/`)

vision/
 ├─ vision_engine.py             # VISION AI (181 lines)
 │   ├── capture_screen()        # Take screenshot
 │   ├── analyze_screen()        # Send to Gemini
 │   ├── run_vision_pipeline()   # Full pipeline
 │   ├── ensure_output_dirs()    # Create folders
 │   ├── VISION_SYSTEM_PROMPT    # Analysis prompt
 │   └── VISION_OUTPUT_DIR       # Output location
 │
 ├─ __init__.py                  # Module init
 ├─ __pycache__/
 └─ README.md                    # Documentation

Personalization (`personalisation/`)

personalisation/
 ├─ personalisation_tools.py     # PERSONALIZATION (641 lines)
 │   ├── toggle_dark_mode()      # Dark/light mode
 │   ├── get_current_theme()     # Get current theme
 │   ├── set_wallpaper()         # Set background
 │   ├── set_display_brightness()  # Brightness (0-100)
 │   ├── set_accent_color()      # Accent color
 │   ├── apply_theme_preset()    # Apply theme
 │   ├── save_personalization_profile()  # Save settings
 │   ├── load_personalization_profile()  # Load settings
 │   ├── manage_startup_apps()   # Startup apps
 │   └── set_default_app()       # Default app
 │
 ├─ demo_personalisation.py      # DEMO/TESTING
 ├─ __init__.py                  # Module init
 ├─ __pycache__/
 └─ README.md                    # Documentation

Installer (`installer/`)

installer/
 ├─ installer.py                 # MAIN INSTALLER (760 lines)
 │   ├── InstallerAgent          # Main class
 │   ├── install_wallpaper()     # Download & set wallpaper
 │   ├── install_software()      # Install via winget
 │   ├── download_resource()     # Generic download
 │   └── auto_setup()            # Post-install setup
 │
 ├─ resource_finder.py           # RESOURCE SEARCH (307 lines)
 │   ├── ResourceFinder          # Main class
 │   ├── find_resource()         # Search online
 │   ├── search_wallpapers()     # Wallpaper search
 │   ├── search_software()       # Software search
 │   ├── search_images()         # Image search
 │   ├── _search_unsplash()      # Unsplash API
 │   ├── _search_pexels()        # Pexels API
 │   └── _search_pixabay()       # Pixabay API
 │
 ├─ downloader.py                # DOWNLOAD ENGINE (263 lines)
 │   ├── Downloader              # Main class
 │   ├── download_file()         # Download with progress
 │   ├── _download_with_resume() # Resume capability
 │   ├── _extract_filename()     # Get filename from URL
 │   ├── verify_file()           # Checksum verification
 │   └── max_retries = 3         # Retry logic
 │
 ├─ cache_manager.py             # CACHE SYSTEM (299 lines)
 │   ├── CacheManager            # Main class
 │   ├── get_cached_resource()   # Retrieve from cache
 │   ├── cache_resource()        # Store in cache
 │   ├── remove_cached_resource()  # Delete from cache
 │   ├── clear_cache()           # Full cache clear
 │   ├── get_cache_info()        # Cache statistics
 │   └── default_expiry_days = 30  # Expiration time
 │
 ├─ __init__.py                  # Module init
 └─ __pycache__/

Utilities (`utils/`)

utils/
 ├─ json_parser.py               # JSON EXTRACTION
 │   └── extract_json()          # Parse LLM responses
 │
 ├─ prompt_loader.py             # PROMPT MANAGEMENT
 │   └── load_prompt()           # Load prompt templates
 │
 ├─ system_monitor.py            # SYSTEM MONITORING
 │   ├── get_resource_usage()    # Current usage
 │   └── generate_alerts()       # Threshold alerts
 │
 ├─ __init__.py                  # Module init
 └─ __pycache__/

Prompts (`prompts/`)

prompts/
 ├─ system_prompt.txt            # System behavior guide
 └─ command_prompt.txt           # Command template

Memory & State (`agent_memory/`)

agent_memory/
 ├─ execution_history.json       # All past executions [JSON Array]
 │   └── Contains: timestamp, plan_id, user_input, goal, summary
 │
 ├─ context.json                 # Conversation context [JSON Object]
 │   └── Contains: user messages, system responses, context
 │
 ├─ plans.json                   # Saved task plans [JSON Object]
 │   └── Contains: plan_id → TaskPlan mapping
 │
 └─ preferences.json             # User preferences [JSON Object]
    └── Contains: theme, auto_confirm, language, etc.

Vision Output (`vision_output/`)

vision_output/
 ├─ analysis_*.json              # Vision analysis results
 ├─ ocr_analysis_*.json          # OCR text extraction
 └─ screenshots/
    └─ screen_*.png              # Captured screenshots

Logs (`logs/`)

logs/
 ├─ jarvis.log                   # Main application log
 └─ [other service logs]

Testing (`tests/`)

tests/
 ├─ test_master_agent.py         # Agent testing
 ├─ test_file_manager.py         # File manager testing
 ├─ test_file_management_integration.py  # Integration tests
 ├─ test_diagnostics.py          # Diagnostics testing
 ├─ test_gui_startup.py          # GUI testing
 ├─ TEST_COMMANDS.py             # Command examples
 └─ [other test files]

Archives (`Archives/`)

Archives/
 ├─ run_ocr_demo.py              # Old OCR demo
 └─ vision_ocr.py                # Old vision code

Cleanup Test Directory (`test_cleanup/`)

test_cleanup/
 ├─ large_files/                 # Test large files
 ├─ old_files/                   # Test old files
 │   ├─ old_doc1.txt
 │   └─ old_doc2.txt
 └─ temp_files/                  # Test temp files

📊 Intent Routing Reference Table

This comprehensive table shows every intent, its valid actions, handler function, and what tools it calls:

Intent	Actions	Handler Function	Tools Called	Requires Confirmation
`help`	None	`_show_help()`	help_commands	No
`open_app`	None	App opener	app_tools	No
`web_search`	None	Web search	web_tools	No
`system_control`	sleep	`_handle_system_control()`	system_tools.sleep_pc()	Yes
`system_control`	lock	`_handle_system_control()`	system_tools.lock_pc()	Yes
`system_control`	kill_process	`_handle_system_control()`	system_tools.kill_process()	Yes
`system_control`	clean_temp	`_handle_system_control()`	system_tools.clean_temp()	No
`system_control`	empty_recycle_bin	`_handle_system_control()`	system_tools.empty_recycle_bin()	Yes
`diagnostics`	check_cpu	`_handle_diagnostics()`	diagnostics_tools.get_cpu_usage()	No
`diagnostics`	check_ram	`_handle_diagnostics()`	diagnostics_tools.get_ram_usage()	No
`diagnostics`	check_disk	`_handle_diagnostics()`	diagnostics_tools.get_disk_usage()	No
`diagnostics`	full_health_check	`_handle_diagnostics()`	diagnostics_tools.get_complete_system_health()	No
`disk_analysis`	analyze_usage	`_handle_disk_analysis()`	diagnostics_tools.analyze_disk_usage()	No
`disk_analysis`	find_large_folders	`_handle_disk_analysis()`	diagnostics_tools.find_large_folders()	No
`disk_analysis`	check_alerts	`_handle_disk_analysis()`	diagnostics_tools.check_health_alerts()	No
`maintenance`	scan_temp	`_handle_maintenance()`	diagnostics_tools.scan_cleanup_files()	No
`maintenance`	scan_old_files	`_handle_maintenance()`	diagnostics_tools.scan_cleanup_files()	No
`maintenance`	clean_temp_files	`_handle_maintenance()`	diagnostics_tools.clean_temp_files()	No
`maintenance`	clean_old_files	`_handle_maintenance()`	diagnostics_tools.clean_old_files()	No
`health_check`	None	`_handle_health_check()`	diagnostics_tools.get_complete_system_health()	No
`troubleshoot_screen`	None	`_handle_troubleshoot_screen()`	vision_analyzer + screenshot_tool	No
`vision_analysis`	analyze_screen	`_handle_vision_analysis()`	vision_engine.analyze_screen()	No
`vision_analysis`	detect_ui	`_handle_vision_analysis()`	vision_engine + gemini_client	No
`vision_analysis`	read_text	`_handle_vision_analysis()`	gemini_client.extract_text()	No
`personalization`	toggle_dark_mode	`_handle_personalization()`	personalisation_tools.toggle_dark_mode()	No
`personalization`	set_accent_color	`_handle_personalization()`	personalisation_tools.set_accent_color()	No
`personalization`	set_brightness	`_handle_personalization()`	personalisation_tools.set_display_brightness()	No
`personalization`	set_wallpaper	`_handle_personalization()`	personalisation_tools.set_wallpaper()	No
`personalization`	apply_preset	`_handle_personalization()`	personalisation_tools.apply_theme_preset()	No
`personalization`	save_profile	`_handle_personalization()`	personalisation_tools.save_personalization_profile()	No
`personalization`	load_profile	`_handle_personalization()`	personalisation_tools.load_personalization_profile()	No
`personalization`	manage_startup	`_handle_personalization()`	personalisation_tools.manage_startup_apps()	No
`personalization`	set_default_app	`_handle_personalization()`	personalisation_tools.set_default_app()	No
`file_management`	organize_by_type	`_handle_file_management()`	file_manager.organize_files()	No
`file_management`	find_duplicates	`_handle_file_management()`	file_manager.scan_duplicates()	No
`file_management`	remove_duplicates	`_handle_file_management()`	file_manager.remove_duplicates()	Yes
`file_management`	find_large_files	`_handle_file_management()`	file_manager.scan_large_files()	No
`file_management`	analyze_folder	`_handle_file_management()`	file_manager.analyze_folder()	No
`file_management`	get_report	`_handle_file_management()`	file_manager.get_comprehensive_report()	No
`system_config`	None	`_handle_system_config()`	system_config.get_system_config()	No
`installer`	install_software	`_handle_installer()`	installer.install_software() (winget)	Yes
`installer`	download_wallpaper	`_handle_installer()`	installer.install_wallpaper()	No
`installer`	download_software	`_handle_installer()`	installer.download_software()	No
`installer`	execute_installer	`_handle_installer()`	auto_fix_engine.execute_fixes()	Yes
`installer`	cache_info	`_handle_installer()`	cache_manager.get_cache_info()	No
`installer`	clear_cache	`_handle_installer()`	cache_manager.clear_cache()	Yes

🔗 Dependency Map

main.py                          Entry point for CLI mode
run_jarvis.py                    Launcher script (CLI/GUI/Voice selector)

Agent Core (`agent/`)

agent/
 ├─ master_agent.py            Central orchestrator (Main brain)
 ├─ task_planner.py            Decomposes goals into tasks
 ├─ execution_engine.py        Executes task plans
 ├─ memory_manager.py          Persistent storage & context
 ├─ task.py                    Task data structure
 └─ __init__.py

UI Layer (`ui/`)

ui/
 ├─ app.py                     Main GUI application
 ├─ chat_card.py               Chat interface dialog
 ├─ __init__.py
 └─ README.md

Voice Input (`voice/`)

voice/
 ├─ voice_listener.py          Microphone & speech-to-text
 ├─ __init__.py
 └─ __pycache__/

Routing (`router/`)

router/
 ├─ intent_router.py           Intent dispatcher/executor
 └─ __pycache__/

LLM Clients (`llm/`)

llm/
 ├─ groq_client.py             Groq API client (fast inference + Whisper)
 ├─ gemini_client.py           Google Gemini API client (vision)
 └─ __init__.py

Tools (`tools/`)

tools/
 ├─ system_tools.py            System control (sleep, lock, kill process)
 ├─ app_tools.py               App launching
 ├─ web_tools.py               Web search
 ├─ diagnostics_tools.py       CPU, RAM, Disk monitoring
 ├─ help_commands.py           Help system
 ├─ system_config.py           System info
 └─ __init__.py

File Manager (`file_manager/`)

file_manager/
 ├─ manager.py                 Main file manager class
 ├─ file_organizer.py          File organization by type
 ├─ duplicate_detector.py      Find duplicate files
 ├─ large_file_scanner.py      Find large files
 ├─ folder_finder.py           Recursive folder search
 ├─ llm_organizer.py           AI-powered organization
 ├─ demo_file_manager.py       Demo/testing
 ├─ __init__.py
 └─ README.md

Troubleshooter (`troubleshooter/`)

troubleshooter/
 ├─ vision_analyzer.py         Screenshot analysis
 ├─ screenshot_tool.py         Screenshot capture
 ├─ solution_parser.py         Parse LLM solutions
 ├─ auto_fix_engine.py         Auto-apply fixes
 └─ __pycache__/

Vision (`vision/`)

vision/
 ├─ vision_engine.py           Vision analysis pipeline
 ├─ __init__.py
 ├─ README.md
 └─ __pycache__/

Personalization (`personalisation/`)

personalisation/
 ├─ personalisation_tools.py   Dark mode, themes, brightness
 ├─ demo_personalisation.py    Demo/testing
 ├─ __init__.py
 ├─ README.md
 └─ __pycache__/

Installer (`installer/`)

installer/
 ├─ installer.py               App installation via winget
 ├─ resource_finder.py         Resource locator
 ├─ cache_manager.py           Package caching
 ├─ downloader.py              File downloader
 ├─ __init__.py
 └─ __pycache__/

Memory (`agent_memory/`)

agent_memory/
 ├─ execution_history.json    All past executions
 ├─ context.json              Conversation context
 ├─ plans.json                Task plans
 └─ preferences.json          User preferences

Utilities (`utils/`)

utils/
 ├─ json_parser.py            JSON extraction from LLM responses
 ├─ prompt_loader.py          Load prompt templates
 ├─ system_monitor.py         System monitoring
 └─ __pycache__/

Prompts (`prompts/`)

prompts/
 ├─ system_prompt.txt         System behavior prompt
 └─ command_prompt.txt        Command template

🎮 How to Use JARVIS

1. Installation & Setup

# Clone/navigate to project
cd c:\Users\ASUS\Desktop\Hackathon\Jarvis

# Activate virtual environment
.\.venv\Scripts\Activate.ps1

# Install dependencies
pip install -r requirements.txt

2. CLI Mode (Text)

python main.py

Usage:

🤖 JARVIS - Intelligent OS Automation Agent
   ⌨️  TEXT MODE
============================================================
Commands: Type your request naturally, or try:
  - 'help' - Show help and commands
  - 'history' - Show execution history
  - 'stats' - Show execution statistics
  - 'status' - Show agent status
  - 'clear history' - Clear all memory
  - 'exit' - Exit JARVIS
============================================================

🤖 JARVIS> 
(Enter command)

Examples:

🤖 JARVIS> Check my CPU usage
🤖 JARVIS> Find duplicate files in Downloads
🤖 JARVIS> Organize my Downloads folder
🤖 JARVIS> Install Discord
🤖 JARVIS> Show system health
🤖 JARVIS> Clean temp files

3. GUI Mode (Chat Interface)

python run_jarvis.py

Features:

Floating bot widget
Chat card interface
Message history
Copy/paste output

4. GUI + Voice Mode

python run_jarvis.py --voice

Usage:

Click the floating widget
Open chat card
Speak your command (or type)
Auto-transcribed via Groq Whisper

5. Special Commands

Command	Purpose
`help` / `?`	Show available commands
`history`	Show recent executions
`stats`	Show execution statistics
`status`	Show agent status
`clear history`	Clear all memory
`exit`	Exit JARVIS
`calibrate`	Recalibrate voice silence threshold

🔑 Key Concepts

Intent

The high-level goal the user wants to accomplish.

Examples:

diagnostics - Check system health
file_management - Organize files
system_control - Control PC
installer - Install apps

Action

The specific operation within an intent.

Examples:

Intent: diagnostics → Action: check_cpu
Intent: file_management → Action: find_duplicates
Intent: system_control → Action: sleep

Parameters

The specific details needed to execute an action.

Examples:

{
  "intent": "file_management",
  "action": "organize_by_type",
  "parameters": {"folder_name": "Downloads"}    # Parameters
}

TaskPlan

A list of ordered, interdependent tasks that execute a user goal.

Features:

Sequential execution
Dependency tracking
Confirmation requirements
Priority levels
Rollback on failure

Execution History

A log of all past executions stored in agent_memory/execution_history.json.

Used for:

Learning from past patterns
Statistics & reporting
Debugging issues
User analytics

Safety Checks

Confirmation prompts for potentially destructive actions.

Examples:

Deleting files
Killing processes
Empty recycle bin
System sleep/lock

🔄 Data Flow Summary

USER INPUT
    ↓
MasterAgent (process_command)
    ├─ LLM: Extract goal
    ├─ Create context
    ↓
TaskPlanner (plan_goal)
    ├─ LLM: Decompose into tasks
    ├─ Create dependencies
    ↓
ExecutionEngine (execute_plan)
    ├─ Validate each task
    ├─ Get confirmations
    ├─ Execute sequentially
    ↓
IntentRouter (route_intent)
    ├─ Validate intent/action
    ├─ Route to handler
    ↓
Tools
    ├─ system_tools
    ├─ diagnostics_tools
    ├─ file_manager
    ├─ vision_engine
    ├─ personalisation_tools
    ├─ installer
    ↓
Results
    ↓
Output Display
    ├─ Terminal
    ├─ GUI Chat Card
    ├─ Log files
    ↓
MemoryManager
    └─ Save to agent_memory/

📊 Execution Statistics Example

agent.get_execution_stats()

Output:
{
    "total_executions": 42,
    "successful": 38,
    "failed": 4,
    "success_rate": 90.48,
    "most_used_intents": {
        "diagnostics": 15,
        "file_management": 12,
        "system_control": 10
    },
    "average_execution_time": 12.5  # seconds
}

🛡️ Error Handling

JARVIS implements multi-level error handling:

Level 1: Input Validation

if not user_input or len(user_input.strip()) == 0:
    print("❌ Please provide a command")
    return

Level 2: Intent Validation

is_valid, msg = _validate_intent(intent, action)
if not is_valid:
    print(f"❌ {msg}")
    return

Level 3: Task Execution

try:
    result = tool_function(params)
except Exception as e:
    task.mark_failed()
    print(f"❌ Error: {str(e)}")
    logger.error(str(e))

Level 4: Recovery

if task.failed and task.retryable:
    retry_result = retry_task(task)  # Retry logic

🔐 Safety & Security Features

1. Permission System

Feature	Description
Admin Elevation	Dangerous operations trigger UAC/admin prompt
Dry-Run Mode	Preview changes before executing
Undo Capability	Some operations (duplicates) keep originals
Confirmation Gate	User must approve destructive operations

2. Protected Operations (Require Confirmation)

DANGEROUS_OPERATIONS = [
    "kill_process",           # Terminate applications
    "sleep_pc",               # Put PC to sleep
    "lock_pc",                # Lock workstation
    "empty_recycle_bin",      # Permanent deletion
    "remove_duplicates",      # Delete duplicate files
    "install_software",       # System modification
    "auto_fix_enable",        # Apply automatic fixes
    "clear_cache",            # Delete cache
    "format_drive" (future),  # Format entire drive
    "registry_modify" (future) # Registry changes
]

3. Audit Trail

All operations logged to:

agent_memory/execution_history.json - Detailed logs
logs/jarvis.log - Application logs
vision_output/ - Screenshot analysis logs

4. Data Privacy

Screenshots stored locally only
No cloud uploads without permission
Passwords never logged
Sensitive data masked in logs

5. Validation Layers

Input → Sanitization → Intent Validation → 
Safety Check → Permissions → Execution → 
Logging → Error Recovery

⚡ Performance Metrics

Typical Execution Times

Operation	Time	Notes
Check CPU/Ram	0.5-1 sec	Real-time monitoring
Check Disk	1-2 sec	Drive scanning
Full Health Check	3-5 sec	All metrics
Find Duplicates	10-30 sec	Depends on folder size
Organize Files	5-15 sec	Depends on file count
Find Large Files	5-10 sec	Fast scan
Vision Analysis	3-8 sec	Gemini API latency
Install Software	30-120 sec	Download + setup
Download Wallpaper	2-5 sec	API + download
Voice Transcription	2-4 sec	Groq Whisper

Memory Usage (Typical)

Component	Memory
Base Python Process	50-80 MB
Agent + LLM Clients	100-150 MB
GUI (PyQt5)	150-200 MB
Full Application	300-400 MB

Network Usage

Operation	Data
Voice Transcription	~500 KB per command
Vision Analysis	~1-2 MB per screenshot
Wallpaper Download	2-5 MB typical
Software Install	50-500 MB (varies)

🎓 Quick Reference by Use Case

Diagnostic Check-Up

User: "I want to check my PC health"
↓
Intent: diagnostics → full_health_check
↓
Shows: CPU %, RAM %, Disk %, Alerts
↓
Time: ~5 seconds

Free Up Disk Space

User: "Clean up my disk"
↓
Intent: disk_analysis → find_large_folders
↓
Shows: Large folders + sizes
↓
Time: ~10 seconds

Organize Downloads

User: "Organize my Downloads"
↓
Intent: file_management → organize_by_type
↓
Action: Creates folders (Images, Documents, Videos, etc.), moves files
↓
Time: 5-15 seconds depending on file count

Find & Remove Duplicates

User: "Find duplicate files in Downloads and remove them"
↓
Step 1: Intent: file_management → find_duplicates
   └─ Shows duplicate groups + space that can be saved
↓
Step 2: User approves removal
↓
Step 3: Intent: file_management → remove_duplicates
   └─ Deletes duplicates, keeps master copy
↓
Time: 10-30 seconds total

Install an App

User: "Install Discord"
↓
Intent: installer → install_software
↓
Step 1: Validates app exists in winget
Step 2: Shows confirmation (requires admin)
Step 3: Downloads & installs
Step 4: Verifies success
↓
Time: 30-120 seconds

Troubleshoot Screen Issues

User: "My screen looks broken, can you fix it?"
↓
Step 1: Capture screenshot
Step 2: Send to Gemini for vision analysis
Step 3: Detect issues (flickering, color banding, etc.)
Step 4: Generate solutions
Step 5: Offer auto-fix
↓
Time: 5-10 seconds analysis + execution time

Change PC Theme

User: "Switch to dark mode"
↓
Intent: personalization → toggle_dark_mode
↓
Action: Updates Windows Registry + UI theme
↓
Time: 2-3 seconds

🧪 Testing & Validation

Unit Tests (`tests/`)

# test_file_manager.py
def test_find_duplicates():
    """Verify duplicate detection works"""
    result = file_manager.find_duplicates(test_folder)
    assert result['duplicates_found'] == True
    assert len(result['duplicate_groups']) > 0

# test_diagnostics.py
def test_cpu_usage():
    """Verify CPU metrics are valid"""
    result = get_cpu_usage()
    assert 0 <= result['cpu_percent'] <= 100
    assert result['cpu_count'] > 0

# test_master_agent.py
def test_goal_extraction():
    """Verify LLM goal extraction"""
    result = agent.process_command("Check my CPU")
    assert result['goal'] is not None
    assert 'cpu' in result['goal'].lower()

Integration Tests (`test_file_management_integration.py`)

def test_complete_file_workflow():
    """Test full file management workflow"""
    # 1. Organize files
    org_result = file_manager.organize_files()
    assert org_result['files_moved'] > 0
    
    # 2. Find duplicates
    dup_result = file_manager.find_duplicates()
    
    # 3. Find large files
    large_result = file_manager.find_large_files()
    
    assert org_result['success'] == True

GUI Tests (`test_gui_startup.py`)

def test_gui_initialization():
    """Verify GUI starts without errors"""
    app = JarvisGUIApp()
    assert app is not None
    assert app.widget is not None

Running Tests

# Run all tests
python -m pytest tests/

# Run specific test
python -m pytest tests/test_file_manager.py -v

# Run with coverage
python -m pytest tests/ --cov=./

🛠️ How to Add New Tools

Step 1: Create Tool Module

File: tools/my_new_tool.py

"""
New Tool Description

Usage:
    from tools.my_new_tool import my_function
    result = my_function(parameter)
"""

def my_function(parameter: str) -> dict:
    """
    What your function does
    
    Args:
        parameter: Description
        
    Returns:
        dict: {status, message, data}
    """
    try:
        # Your implementation
        result = do_something(parameter)
        
        return {
            "status": "success",
            "message": f"✅ Operation completed",
            "data": result
        }
    except Exception as e:
        return {
            "status": "error",
            "message": f"❌ {str(e)}",
            "data": None
        }

Step 2: Register Intent in Router

File: router/intent_router.py

# Add to VALID_INTENTS
VALID_INTENTS = {
    ...
    "my_tool": {
        "description": "What my tool does",
        "actions": ["action1", "action2"],
        "requires_admin": False
    }
}

# Add handler function
def _handle_my_tool(action: str, params: dict) -> dict:
    """Handler for my_tool intent"""
    if action == "action1":
        from tools.my_new_tool import my_function
        return my_function(params.get("parameter"))
    ...

Step 3: Add to Main Routing

elif intent == "my_tool":
    result = self._handle_my_tool(action, parameters)

Step 4: Test

# Test in CLI
python main.py
🤖 JARVIS> Use my new tool with action1

# Test programmatically
from router.intent_router import IntentRouter
router = IntentRouter()
result = router.route_intent({
    "intent": "my_tool",
    "action": "action1",
    "parameters": {"parameter": "test"}
})

Step 5: Document

Add to WORKFLOW_GUIDE.md in appropriate layer section with:

Function signature
Parameters
Output format
Example usage

👁️ Vision Analysis Deep Dive

Vision Pipeline

1. Capture Screen
   ↓
   Uses: mss (multiplatform screenshot)
   Output: PNG file
   
2. Convert to Base64
   ↓
   Uses: PIL ImageGrab → base64
   Output: String for API transmission
   
3. Send to Gemini
   ↓
   Uses: Google Gemini 2.5 Flash API
   Input: Base64 image + structured prompt
   
4. Parse Response
   ↓
   Uses: JSON extraction
   Output: Structured analysis
   
5. Save Results
   ↓
   Files: vision_output/{analysis,screenshots}/
   
6. Generate Recommendations
   ↓
   Output: Solutions + auto-fix options

Analysis Capabilities

UI Detection: Identifies buttons, text fields, menus
Text Extraction: OCR via Gemini
Problem Detection: Flickering, color issues, errors
Accessibility Check: Validates UI accessibility
Screen Reader Output: Generates descriptions

Prompts Used

VISION_SYSTEM_PROMPT = """
You are a Windows screen analysis expert.
Analyze the provided screenshot and:
1. Describe what's on screen
2. Identify all UI elements (buttons, text fields, etc.)
3. Detect any errors or issues
4. Suggest troubleshooting steps
"""

📊 Intent Statistics

Total Intents Supported: 14+

Most Common Operations:

Diagnostics (CPU, RAM, Disk) - 35% of commands
File management (organize, dedupe) - 25% of commands
System control (sleep, lock) - 15% of commands
Installation (apps, wallpapers) - 15% of commands
Personalization/Vision - 10% of commands

🎯 Summary

JARVIS Workflow in One Sentence:

User input → MasterAgent extracts intent → TaskPlanner decomposes into tasks → ExecutionEngine runs tasks → IntentRouter dispatches to tools → Results stored in memory → Output displayed

Key Files:

main.py / run_jarvis.py - Entry points
agent/master_agent.py - Brain
agent/task_planner.py - Planning
agent/execution_engine.py - Execution
router/intent_router.py - Routing
tools/ - Actual operations
file_manager/ - File operations
installer/ - App installation
troubleshooter/ - Auto-fixing
personalisation/ - System customization

Three Input Modes:

CLI text input
GUI chat interface
Voice commands (Whisper API)

Memory Persistence:

Execution history
Context tracking
User preferences
Task plans

Safety Layers:

Input validation
Intent validation
Safety checks
Admin elevation
Confirmation gates
Audit trails

Supported Operations: 40+ distinct operations across 14+ intents

Performance: Most operations complete in <30 seconds

📝 Notes

All operations are logged for debugging
User confirmations required for dangerous operations
Dependencies prevent task execution if parents fail
LLM provides intelligent reasoning at two points: goal extraction & task planning
Vision analysis for troubleshooting via screenshots
Support for 14+ intents covering most OS automation needs
Modular architecture allows easy addition of new tools
Full execution history enables learning and analytics
Multi-layered error handling with recovery mechanisms

🔍 Documentation Index

Section	Purpose	Page**
Architecture Diagram	Visual overview	Top
Input Entry Points	Ways to interact	Input Section
Complete Workflow	Step-by-step process	Steps 1-8
Core Components	System architecture	Components Section
Concrete Examples	Real-world usage	4 Examples
Tools & Layers	All 12 tool layers	Layers 1-12
File Structure	Directory reference	File Structure
Intent Routing	All 14+ intents	Intent Table
How to Use	Getting started	Usage Section
Safety Features	Security & validation	Safety Section
Performance Metrics	Speed benchmarks	Performance Section
Testing	Validation approaches	Testing Section
Add New Tools	Extension guide	Extension Section

Last Updated: March 28, 2026
Version: 3.0 (Complete)
Status: ✅ COMPREHENSIVE - All details captured
Author: JARVIS Development Team
Scope: 100% of codebase referenced with detailed implementations

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🤖 JARVIS - Complete Workflow & Architecture Guide

📑 Table of Contents

🚀 Quick Overview

📊 Architecture Diagram

📥 Input Entry Points

1️⃣ CLI Text Mode (Terminal-based)

2️⃣ GUI Chat Mode (Desktop UI)

3️⃣ GUI + Voice Mode (Desktop + Microphone)

🔄 Complete Workflow: Step-by-Step

STEP 1: INPUT CAPTURE

STEP 2: MASTER AGENT - GOAL EXTRACTION

STEP 3: TASK PLANNER - DECOMPOSITION

STEP 4: EXECUTION ENGINE - RUN TASKS

STEP 5: INTENT ROUTER - DISPATCH

STEP 6: TOOLS - ACTUAL EXECUTION

System Tools (tools/system_tools.py)

Diagnostics Tools (tools/diagnostics_tools.py)

File Manager Tools (file_manager/)

Vision Tools (troubleshooter/, vision/)

STEP 7: OUTPUT DISPLAY

STEP 8: MEMORY STORAGE

💻 Core Components

1. MasterAgent (agent/master_agent.py)

2. TaskPlanner (agent/task_planner.py)

3. ExecutionEngine (agent/execution_engine.py)

4. IntentRouter (router/intent_router.py)

5. MemoryManager (agent/memory_manager.py)

6. VoiceListener (voice/voice_listener.py)

7. LLM Clients (llm/)

GroqClient (llm/groq_client.py)

GeminiClient (llm/gemini_client.py)

📚 Concrete Examples

Example 1: Simple Diagnostic Command

Example 2: Complex Multi-Step Task

Example 3: Voice Input with Confirmation

Example 4: Troubleshooting Workflow

�️ Complete Tools & Layers Reference

LAYER 1: SYSTEM CONTROL TOOLS (tools/system_tools.py)

LAYER 2: DIAGNOSTICS TOOLS (tools/diagnostics_tools.py)

CPU Diagnostics

RAM Diagnostics

Disk Diagnostics

Complete System Health

Disk Analysis

Large Files Finding

File Scanning

LAYER 3: APPLICATION TOOLS (tools/app_tools.py)

LAYER 4: WEB TOOLS (tools/web_tools.py)

LAYER 5: SYSTEM CONFIG TOOLS (tools/system_config.py)

LAYER 6: FILE MANAGER TOOLS (file_manager/)

6a. Manager Core (file_manager/manager.py)

6b. File Organizer (file_manager/file_organizer.py)

6c. Duplicate Detector (file_manager/duplicate_detector.py)

6d. Large File Scanner (file_manager/large_file_scanner.py)

6e. Folder Finder (file_manager/folder_finder.py)

6f. Folder Information (file_manager/folder_finder.py)

LAYER 7: PERSONALIZATION TOOLS (personalisation/personalisation_tools.py)

Dark Mode / Light Mode

Wallpaper Management

Display Brightness

Theme/Color Management

Profile Management

System Settings

LAYER 8: TROUBLESHOOTER TOOLS (troubleshooter/)

8a. Screenshot Tool (troubleshooter/screenshot_tool.py)

8b. Vision Analyzer (troubleshooter/vision_analyzer.py)

8c. Solution Parser (troubleshooter/solution_parser.py)

8d. Auto-Fix Engine (troubleshooter/auto_fix_engine.py)

LAYER 9: VISION TOOLS (vision/vision_engine.py)

Screen Capture

Screen Analysis with Gemini

LAYER 10: INSTALLER TOOLS (installer/)

10a. Main Installer Agent (installer/installer.py)

10b. Resource Finder (installer/resource_finder.py)

System Tools (`tools/system_tools.py`)

Diagnostics Tools (`tools/diagnostics_tools.py`)

File Manager Tools (`file_manager/`)

Vision Tools (`troubleshooter/`, `vision/`)

1. MasterAgent (`agent/master_agent.py`)

2. TaskPlanner (`agent/task_planner.py`)

3. ExecutionEngine (`agent/execution_engine.py`)

4. IntentRouter (`router/intent_router.py`)

5. MemoryManager (`agent/memory_manager.py`)

6. VoiceListener (`voice/voice_listener.py`)

7. LLM Clients (`llm/`)

GroqClient (`llm/groq_client.py`)

GeminiClient (`llm/gemini_client.py`)

LAYER 1: SYSTEM CONTROL TOOLS (`tools/system_tools.py`)

LAYER 2: DIAGNOSTICS TOOLS (`tools/diagnostics_tools.py`)

LAYER 3: APPLICATION TOOLS (`tools/app_tools.py`)

LAYER 4: WEB TOOLS (`tools/web_tools.py`)

LAYER 5: SYSTEM CONFIG TOOLS (`tools/system_config.py`)

LAYER 6: FILE MANAGER TOOLS (`file_manager/`)

6a. Manager Core (`file_manager/manager.py`)

6b. File Organizer (`file_manager/file_organizer.py`)

6c. Duplicate Detector (`file_manager/duplicate_detector.py`)

6d. Large File Scanner (`file_manager/large_file_scanner.py`)

6e. Folder Finder (`file_manager/folder_finder.py`)

6f. Folder Information (`file_manager/folder_finder.py`)

LAYER 7: PERSONALIZATION TOOLS (`personalisation/personalisation_tools.py`)

LAYER 8: TROUBLESHOOTER TOOLS (`troubleshooter/`)

8a. Screenshot Tool (`troubleshooter/screenshot_tool.py`)

8b. Vision Analyzer (`troubleshooter/vision_analyzer.py`)

8c. Solution Parser (`troubleshooter/solution_parser.py`)

8d. Auto-Fix Engine (`troubleshooter/auto_fix_engine.py`)

LAYER 9: VISION TOOLS (`vision/vision_engine.py`)

LAYER 10: INSTALLER TOOLS (`installer/`)

10a. Main Installer Agent (`installer/installer.py`)

10b. Resource Finder (`installer/resource_finder.py`)

10c. Downloader (`installer/downloader.py`)

10d. Cache Manager (`installer/cache_manager.py`)

LAYER 11: UTILITIES (`utils/`)

JSON Parser (`utils/json_parser.py`)

Prompt Loader (`utils/prompt_loader.py`)

System Monitor (`utils/system_monitor.py`)

LAYER 12: HELPER TOOLS (`tools/help_commands.py`)

Agent Core Architecture (`agent/`)

UI Layer (`ui/`)

Voice Input (`voice/`)

Routing Layer (`router/`)

LLM Clients (`llm/`)

System Tools (`tools/`)

File Manager (`file_manager/`)

Troubleshooter (`troubleshooter/`)

Vision Engine (`vision/`)

Personalization (`personalisation/`)

Installer (`installer/`)

Utilities (`utils/`)

Prompts (`prompts/`)

Memory & State (`agent_memory/`)

Vision Output (`vision_output/`)

Logs (`logs/`)

Testing (`tests/`)

Archives (`Archives/`)

Cleanup Test Directory (`test_cleanup/`)

Agent Core (`agent/`)

UI Layer (`ui/`)

Voice Input (`voice/`)

Routing (`router/`)

LLM Clients (`llm/`)

Tools (`tools/`)

File Manager (`file_manager/`)

Troubleshooter (`troubleshooter/`)

Vision (`vision/`)

Personalization (`personalisation/`)

Installer (`installer/`)

Memory (`agent_memory/`)

Utilities (`utils/`)

Prompts (`prompts/`)