diff --git a/config_error_handling_rules.yaml.txt b/config_error_handling_rules.yaml.txt
new file mode 100644
index 00000000..6cf80d65
--- /dev/null
+++ b/config_error_handling_rules.yaml.txt
@@ -0,0 +1,114 @@
+# Error Handling Rules Configuration
+
+# Error Category Definitions
+error_categories:
+  critical:
+    errors:
+      - "DatabaseConnectionError"
+      - "OutOfMemoryError"
+      - "SystemError"
+      - "FatalError"
+      - "SecurityError"
+    action: "alert_and_retry"
+    
+  recoverable:
+    errors:
+      - "TimeoutError"
+      - "ConnectionError"
+      - "RateLimitError"
+      - "TemporaryError"
+      - "NetworkError"
+      - "ServiceUnavailableError"
+    action: "auto_retry"
+    
+  ignorable:
+    errors:
+      - "ClientCancellationError"
+      - "NotFoundError"
+      - "ValidationError"
+    action: "log_only"
+    
+  warning:
+    errors:
+      - "DeprecationWarning"
+      - "ConfigurationWarning"
+    action: "log_only"
+
+# Recovery Strategy Definitions
+auto_fix_strategies:
+  - error_type: "DatabaseConnectionError"
+    strategy: "reconnect_with_backoff"
+    max_attempts: 5
+    base_delay: 2
+    
+  - error_type: "RateLimitError"
+    strategy: "rate_limit_backoff"
+    max_attempts: 3
+    base_delay: 60
+    
+  - error_type: "TimeoutError"
+    strategy: "exponential_backoff"
+    max_attempts: 5
+    base_delay: 2
+    
+  - error_type: "ConnectionError"
+    strategy: "reconnect_with_backoff"
+    max_attempts: 5
+    base_delay: 2
+    
+  - error_type: "OutOfMemoryError"
+    strategy: "restart_with_increased_memory"
+    max_attempts: 1
+    base_delay: 10
+    
+  - error_type: "SecurityError"
+    strategy: "refresh_credentials"
+    max_attempts: 3
+    base_delay: 5
+
+# Pattern-based Error Classification
+error_patterns:
+  - pattern: "connection.*refused|timeout|timed out"
+    category: "recoverable"
+    strategy: "exponential_backoff"
+    severity: 6
+    
+  - pattern: "out of memory|oom|memory error"
+    category: "critical"
+    strategy: "restart_with_increased_memory"
+    severity: 10
+    
+  - pattern: "rate limit|too many requests|429"
+    category: "recoverable"
+    strategy: "rate_limit_backoff"
+    severity: 4
+    
+  - pattern: "database.*connection|db error|sql"
+    category: "critical"
+    strategy: "reconnect_with_backoff"
+    severity: 8
+    
+  - pattern: "unauthorized|authentication|forbidden"
+    category: "critical"
+    strategy: "refresh_credentials"
+    severity: 9
+    
+  - pattern: "not found|404"
+    category: "warning"
+    strategy: "log_and_continue"
+    severity: 3
+
+# Alert Configuration
+alerts:
+  # Enable email alerts
+  email_enabled: false
+  email_recipients:
+    - "devops@example.com"
+  
+  # Enable Slack alerts
+  slack_enabled: false
+  slack_webhook: "${SLACK_WEBHOOK_URL}"
+  
+  # Enable PagerDuty alerts
+  pagerduty_enabled: false
+  pagerduty_key: "${PAGERDUTY_KEY}"
\ No newline at end of file
diff --git a/config_stress_test_config.yaml (1).txt b/config_stress_test_config.yaml (1).txt
new file mode 100644
index 00000000..41963a7b
--- /dev/null
+++ b/config_stress_test_config.yaml (1).txt	
@@ -0,0 +1,143 @@
+# Intelligent Stress Testing System Configuration
+
+# Stress Test Configuration
+stress_test:
+  # Test duration in seconds (0 = infinite)
+  duration: 3600
+  
+  # Maximum concurrent users/connections
+  max_concurrent_users: 1000
+  
+  # Ramp-up time in seconds
+  ramp_up_time: 300
+  
+  # Base URL for testing
+  base_url: "http://localhost:8000"
+  
+  # Test interval between cycles (seconds)
+  test_interval: 1
+  
+  # Endpoints to test
+  endpoints:
+    - path: "/api/transactions"
+      method: "POST"
+      weight: 0.6
+    - path: "/api/accounts"
+      method: "GET"
+      weight: 0.3
+    - path: "/api/status"
+      method: "GET"
+      weight: 0.1
+
+# Error Handling Configuration
+error_handling:
+  # Maximum retry attempts
+  max_retries: 5
+  
+  # Base retry delay in seconds
+  retry_delay: 2
+  
+  # Use exponential backoff
+  exponential_backoff: true
+  
+  # Enable automatic recovery
+  auto_recovery: true
+  
+  # Error category definitions
+  error_categories:
+    critical:
+      - "DatabaseConnectionError"
+      - "OutOfMemoryError"
+      - "SystemError"
+    recoverable:
+      - "TimeoutError"
+      - "ConnectionError"
+      - "RateLimitError"
+      - "TemporaryError"
+    ignorable:
+      - "ClientCancellationError"
+      - "NotFoundError"
+  
+  # Auto-fix strategies
+  auto_fix_strategies:
+    - error_type: "DatabaseConnectionError"
+      strategy: "reconnect_with_backoff"
+    - error_type: "RateLimitError"
+      strategy: "rate_limit_backoff"
+    - error_type: "TimeoutError"
+      strategy: "exponential_backoff"
+    - error_type: "ConnectionError"
+      strategy: "reconnect_with_backoff"
+
+# Monitoring Configuration
+monitoring:
+  # Metrics collection interval (seconds)
+  metrics_interval: 10
+  
+  # Metrics aggregation interval (seconds)
+  aggregation_interval: 60
+  
+  # Dashboard port
+  dashboard_port: 8080
+  
+  # Enable alerts
+  enable_alerts: true
+  
+  # Alert thresholds
+  alert_thresholds:
+    error_rate: 10.0  # percentage
+    stress_load: 90.0  # percentage
+  
+  # Storage path for metrics
+  storage_path: "data/metrics.json"
+
+# Network Simulation (optional)
+network:
+  # Enable network simulation
+  enabled: false
+  
+  # Simulated latency in milliseconds
+  latency_ms: 0
+  
+  # Packet loss percentage
+  packet_loss: 0.0
+  
+  # Bandwidth limit in Mbps
+  bandwidth_limit_mbps: 0
+
+# Pull Request Automation
+pr_automation:
+  # GitHub repository owner
+  repo_owner: "PiCoreTeam"
+  
+  # GitHub repository name
+  repo_name: "pi-node-docker"
+  
+  # Base branch for PRs
+  base_branch: "master"
+  
+  # GitHub token (use environment variable)
+  github_token: "${GITHUB_TOKEN}"
+  
+  # Auto-merge approved PRs
+  auto_merge: true
+  
+  # Merge method (merge, squash, rebase)
+  merge_method: "squash"
+
+# Logging Configuration
+logging:
+  # Log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
+  level: "INFO"
+  
+  # Log file path
+  file: "logs/stress_testing.log"
+  
+  # Log format
+  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+  
+  # Maximum log file size in bytes
+  max_bytes: 10485760  # 10MB
+  
+  # Number of backup log files
+  backup_count: 5
\ No newline at end of file
diff --git a/config_stress_test_config.yaml (2).txt b/config_stress_test_config.yaml (2).txt
new file mode 100644
index 00000000..41963a7b
--- /dev/null
+++ b/config_stress_test_config.yaml (2).txt	
@@ -0,0 +1,143 @@
+# Intelligent Stress Testing System Configuration
+
+# Stress Test Configuration
+stress_test:
+  # Test duration in seconds (0 = infinite)
+  duration: 3600
+  
+  # Maximum concurrent users/connections
+  max_concurrent_users: 1000
+  
+  # Ramp-up time in seconds
+  ramp_up_time: 300
+  
+  # Base URL for testing
+  base_url: "http://localhost:8000"
+  
+  # Test interval between cycles (seconds)
+  test_interval: 1
+  
+  # Endpoints to test
+  endpoints:
+    - path: "/api/transactions"
+      method: "POST"
+      weight: 0.6
+    - path: "/api/accounts"
+      method: "GET"
+      weight: 0.3
+    - path: "/api/status"
+      method: "GET"
+      weight: 0.1
+
+# Error Handling Configuration
+error_handling:
+  # Maximum retry attempts
+  max_retries: 5
+  
+  # Base retry delay in seconds
+  retry_delay: 2
+  
+  # Use exponential backoff
+  exponential_backoff: true
+  
+  # Enable automatic recovery
+  auto_recovery: true
+  
+  # Error category definitions
+  error_categories:
+    critical:
+      - "DatabaseConnectionError"
+      - "OutOfMemoryError"
+      - "SystemError"
+    recoverable:
+      - "TimeoutError"
+      - "ConnectionError"
+      - "RateLimitError"
+      - "TemporaryError"
+    ignorable:
+      - "ClientCancellationError"
+      - "NotFoundError"
+  
+  # Auto-fix strategies
+  auto_fix_strategies:
+    - error_type: "DatabaseConnectionError"
+      strategy: "reconnect_with_backoff"
+    - error_type: "RateLimitError"
+      strategy: "rate_limit_backoff"
+    - error_type: "TimeoutError"
+      strategy: "exponential_backoff"
+    - error_type: "ConnectionError"
+      strategy: "reconnect_with_backoff"
+
+# Monitoring Configuration
+monitoring:
+  # Metrics collection interval (seconds)
+  metrics_interval: 10
+  
+  # Metrics aggregation interval (seconds)
+  aggregation_interval: 60
+  
+  # Dashboard port
+  dashboard_port: 8080
+  
+  # Enable alerts
+  enable_alerts: true
+  
+  # Alert thresholds
+  alert_thresholds:
+    error_rate: 10.0  # percentage
+    stress_load: 90.0  # percentage
+  
+  # Storage path for metrics
+  storage_path: "data/metrics.json"
+
+# Network Simulation (optional)
+network:
+  # Enable network simulation
+  enabled: false
+  
+  # Simulated latency in milliseconds
+  latency_ms: 0
+  
+  # Packet loss percentage
+  packet_loss: 0.0
+  
+  # Bandwidth limit in Mbps
+  bandwidth_limit_mbps: 0
+
+# Pull Request Automation
+pr_automation:
+  # GitHub repository owner
+  repo_owner: "PiCoreTeam"
+  
+  # GitHub repository name
+  repo_name: "pi-node-docker"
+  
+  # Base branch for PRs
+  base_branch: "master"
+  
+  # GitHub token (use environment variable)
+  github_token: "${GITHUB_TOKEN}"
+  
+  # Auto-merge approved PRs
+  auto_merge: true
+  
+  # Merge method (merge, squash, rebase)
+  merge_method: "squash"
+
+# Logging Configuration
+logging:
+  # Log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
+  level: "INFO"
+  
+  # Log file path
+  file: "logs/stress_testing.log"
+  
+  # Log format
+  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+  
+  # Maximum log file size in bytes
+  max_bytes: 10485760  # 10MB
+  
+  # Number of backup log files
+  backup_count: 5
\ No newline at end of file
diff --git a/config_stress_test_config.yaml.txt b/config_stress_test_config.yaml.txt
new file mode 100644
index 00000000..41963a7b
--- /dev/null
+++ b/config_stress_test_config.yaml.txt
@@ -0,0 +1,143 @@
+# Intelligent Stress Testing System Configuration
+
+# Stress Test Configuration
+stress_test:
+  # Test duration in seconds (0 = infinite)
+  duration: 3600
+  
+  # Maximum concurrent users/connections
+  max_concurrent_users: 1000
+  
+  # Ramp-up time in seconds
+  ramp_up_time: 300
+  
+  # Base URL for testing
+  base_url: "http://localhost:8000"
+  
+  # Test interval between cycles (seconds)
+  test_interval: 1
+  
+  # Endpoints to test
+  endpoints:
+    - path: "/api/transactions"
+      method: "POST"
+      weight: 0.6
+    - path: "/api/accounts"
+      method: "GET"
+      weight: 0.3
+    - path: "/api/status"
+      method: "GET"
+      weight: 0.1
+
+# Error Handling Configuration
+error_handling:
+  # Maximum retry attempts
+  max_retries: 5
+  
+  # Base retry delay in seconds
+  retry_delay: 2
+  
+  # Use exponential backoff
+  exponential_backoff: true
+  
+  # Enable automatic recovery
+  auto_recovery: true
+  
+  # Error category definitions
+  error_categories:
+    critical:
+      - "DatabaseConnectionError"
+      - "OutOfMemoryError"
+      - "SystemError"
+    recoverable:
+      - "TimeoutError"
+      - "ConnectionError"
+      - "RateLimitError"
+      - "TemporaryError"
+    ignorable:
+      - "ClientCancellationError"
+      - "NotFoundError"
+  
+  # Auto-fix strategies
+  auto_fix_strategies:
+    - error_type: "DatabaseConnectionError"
+      strategy: "reconnect_with_backoff"
+    - error_type: "RateLimitError"
+      strategy: "rate_limit_backoff"
+    - error_type: "TimeoutError"
+      strategy: "exponential_backoff"
+    - error_type: "ConnectionError"
+      strategy: "reconnect_with_backoff"
+
+# Monitoring Configuration
+monitoring:
+  # Metrics collection interval (seconds)
+  metrics_interval: 10
+  
+  # Metrics aggregation interval (seconds)
+  aggregation_interval: 60
+  
+  # Dashboard port
+  dashboard_port: 8080
+  
+  # Enable alerts
+  enable_alerts: true
+  
+  # Alert thresholds
+  alert_thresholds:
+    error_rate: 10.0  # percentage
+    stress_load: 90.0  # percentage
+  
+  # Storage path for metrics
+  storage_path: "data/metrics.json"
+
+# Network Simulation (optional)
+network:
+  # Enable network simulation
+  enabled: false
+  
+  # Simulated latency in milliseconds
+  latency_ms: 0
+  
+  # Packet loss percentage
+  packet_loss: 0.0
+  
+  # Bandwidth limit in Mbps
+  bandwidth_limit_mbps: 0
+
+# Pull Request Automation
+pr_automation:
+  # GitHub repository owner
+  repo_owner: "PiCoreTeam"
+  
+  # GitHub repository name
+  repo_name: "pi-node-docker"
+  
+  # Base branch for PRs
+  base_branch: "master"
+  
+  # GitHub token (use environment variable)
+  github_token: "${GITHUB_TOKEN}"
+  
+  # Auto-merge approved PRs
+  auto_merge: true
+  
+  # Merge method (merge, squash, rebase)
+  merge_method: "squash"
+
+# Logging Configuration
+logging:
+  # Log level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
+  level: "INFO"
+  
+  # Log file path
+  file: "logs/stress_testing.log"
+  
+  # Log format
+  format: "%(asctime)s - %(name)s - %(levelname)s - %(message)s"
+  
+  # Maximum log file size in bytes
+  max_bytes: 10485760  # 10MB
+  
+  # Number of backup log files
+  backup_count: 5
\ No newline at end of file
diff --git a/src_common_constants.py b/src_common_constants.py
new file mode 100644
index 00000000..db4bb57d
--- /dev/null
+++ b/src_common_constants.py
@@ -0,0 +1,74 @@
+"""
+System Constants
+Centralized constants used across the system
+"""
+
+# Version
+VERSION = "1.0.0"
+SYSTEM_NAME = "Intelligent Stress Testing System"
+
+# Error Categories
+ERROR_CATEGORY_CRITICAL = "critical"
+ERROR_CATEGORY_RECOVERABLE = "recoverable"
+ERROR_CATEGORY_IGNORABLE = "ignorable"
+ERROR_CATEGORY_WARNING = "warning"
+
+# Error Actions
+ERROR_ACTION_ALERT_AND_RETRY = "alert_and_retry"
+ERROR_ACTION_AUTO_RETRY = "auto_retry"
+ERROR_ACTION_LOG_ONLY = "log_only"
+ERROR_ACTION_ESCALATE = "escalate"
+
+# Recovery Strategies
+STRATEGY_GENERIC_RETRY = "generic_retry"
+STRATEGY_EXPONENTIAL_BACKOFF = "exponential_backoff"
+STRATEGY_RECONNECT = "reconnect_with_backoff"
+STRATEGY_RATE_LIMIT = "rate_limit_backoff"
+STRATEGY_RESTART = "restart_with_increased_memory"
+STRATEGY_REFRESH_CREDENTIALS = "refresh_credentials"
+STRATEGY_LOG_CONTINUE = "log_and_continue"
+
+# Default Configuration Values
+DEFAULT_MAX_RETRIES = 5
+DEFAULT_RETRY_DELAY = 2.0
+DEFAULT_MAX_CONCURRENT = 100
+DEFAULT_TEST_DURATION = 3600
+DEFAULT_METRICS_INTERVAL = 10
+DEFAULT_DASHBOARD_PORT = 8080
+
+# HTTP Status Codes
+HTTP_OK = 200
+HTTP_CREATED = 201
+HTTP_BAD_REQUEST = 400
+HTTP_UNAUTHORIZED = 401
+HTTP_FORBIDDEN = 403
+HTTP_NOT_FOUND = 404
+HTTP_RATE_LIMIT = 429
+HTTP_SERVER_ERROR = 500
+
+# Metrics Thresholds
+ERROR_RATE_WARNING_THRESHOLD = 5.0  # percentage
+ERROR_RATE_CRITICAL_THRESHOLD = 10.0  # percentage
+LOAD_WARNING_THRESHOLD = 70.0  # percentage
+LOAD_CRITICAL_THRESHOLD = 90.0  # percentage
+
+# Time Constants
+SECOND = 1
+MINUTE = 60
+HOUR = 3600
+DAY = 86400
+
+# Storage Paths
+DEFAULT_LOGS_DIR = "logs"
+DEFAULT_DATA_DIR = "data"
+DEFAULT_CONFIG_DIR = "config"
+
+# GitHub PR Settings
+PR_LABEL_AUTOMATED = "automated"
+PR_LABEL_STRESS_TEST = "stress-test"
+PR_LABEL_ERROR_FIX = "error-fix"
+
+# Dashboard Settings
+DASHBOARD_UPDATE_INTERVAL = 2  # seconds
+METRICS_HISTORY_LIMIT = 1000
+METRICS_DISPLAY_LIMIT = 100
\ No newline at end of file
diff --git a/src_common_logger.py b/src_common_logger.py
new file mode 100644
index 00000000..52f1785c
--- /dev/null
+++ b/src_common_logger.py
@@ -0,0 +1,75 @@
+"""
+Logging Configuration
+Centralized logging setup for all components
+"""
+
+import logging
+import logging.handlers
+import sys
+from pathlib import Path
+from typing import Dict, Any
+
+
+def setup_logging(config: Dict[str, Any] = None) -> logging.Logger:
+    """
+    Setup centralized logging configuration
+    
+    Args:
+        config: Logging configuration dictionary
+        
+    Returns:
+        Configured logger instance
+    """
+    if config is None:
+        config = {}
+    
+    # Get configuration values
+    log_level = config.get('level', 'INFO')
+    log_file = config.get('file', 'logs/stress_testing.log')
+    log_format = config.get(
+        'format',
+        '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+    )
+    max_bytes = config.get('max_bytes', 10 * 1024 * 1024)  # 10MB
+    backup_count = config.get('backup_count', 5)
+    
+    # Create logs directory if it doesn't exist
+    log_path = Path(log_file)
+    log_path.parent.mkdir(parents=True, exist_ok=True)
+    
+    # Create formatter
+    formatter = logging.Formatter(log_format)
+    
+    # Setup root logger
+    root_logger = logging.getLogger()
+    root_logger.setLevel(getattr(logging, log_level.upper()))
+    
+    # Remove existing handlers
+    root_logger.handlers = []
+    
+    # Console handler
+    console_handler = logging.StreamHandler(sys.stdout)
+    console_handler.setLevel(getattr(logging, log_level.upper()))
+    console_handler.setFormatter(formatter)
+    root_logger.addHandler(console_handler)
+    
+    # File handler with rotation
+    file_handler = logging.handlers.RotatingFileHandler(
+        log_file,
+        maxBytes=max_bytes,
+        backupCount=backup_count
+    )
+    file_handler.setLevel(getattr(logging, log_level.upper()))
+    file_handler.setFormatter(formatter)
+    root_logger.addHandler(file_handler)
+    
+    # Create application logger
+    logger = logging.getLogger('stress_testing_system')
+    logger.info("Logging system initialized")
+    
+    return logger
+
+
+def get_logger(name: str) -> logging.Logger:
+    """Get a logger instance for a specific module"""
+    return logging.getLogger(f'stress_testing_system.{name}')
\ No newline at end of file
diff --git a/src_common_utils.py b/src_common_utils.py
new file mode 100644
index 00000000..3ff19f74
--- /dev/null
+++ b/src_common_utils.py
@@ -0,0 +1,137 @@
+"""
+Common Utility Functions
+Shared utility functions used across the system
+"""
+
+import yaml
+import json
+import os
+from pathlib import Path
+from typing import Dict, Any
+import hashlib
+import time
+
+
+def load_config(config_path: str) -> Dict[str, Any]:
+    """
+    Load configuration from YAML file
+    
+    Args:
+        config_path: Path to configuration file
+        
+    Returns:
+        Configuration dictionary
+    """
+    config_file = Path(config_path)
+    
+    if not config_file.exists():
+        raise FileNotFoundError(f"Configuration file not found: {config_path}")
+    
+    with open(config_file, 'r') as f:
+        if config_path.endswith('.yaml') or config_path.endswith('.yml'):
+            config = yaml.safe_load(f)
+        elif config_path.endswith('.json'):
+            config = json.load(f)
+        else:
+            raise ValueError(f"Unsupported configuration file format: {config_path}")
+    
+    # Environment variable substitution
+    config = substitute_env_vars(config)
+    
+    return config
+
+
+def substitute_env_vars(data: Any) -> Any:
+    """
+    Recursively substitute environment variables in configuration
+    Format: ${VAR_NAME} or ${VAR_NAME:default_value}
+    """
+    if isinstance(data, dict):
+        return {k: substitute_env_vars(v) for k, v in data.items()}
+    elif isinstance(data, list):
+        return [substitute_env_vars(item) for item in data]
+    elif isinstance(data, str):
+        if data.startswith('${') and data.endswith('}'):
+            var_expr = data[2:-1]
+            if ':' in var_expr:
+                var_name, default = var_expr.split(':', 1)
+                return os.getenv(var_name, default)
+            else:
+                return os.getenv(var_expr, data)
+    return data
+
+
+def save_json(data: Dict[str, Any], filepath: str, pretty: bool = True):
+    """Save data to JSON file"""
+    Path(filepath).parent.mkdir(parents=True, exist_ok=True)
+    
+    with open(filepath, 'w') as f:
+        if pretty:
+            json.dump(data, f, indent=2)
+        else:
+            json.dump(data, f)
+
+
+def load_json(filepath: str) -> Dict[str, Any]:
+    """Load data from JSON file"""
+    with open(filepath, 'r') as f:
+        return json.load(f)
+
+
+def calculate_hash(data: str, algorithm: str = 'sha256') -> str:
+    """Calculate hash of string data"""
+    hasher = hashlib.new(algorithm)
+    hasher.update(data.encode('utf-8'))
+    return hasher.hexdigest()
+
+
+def format_bytes(bytes_value: int) -> str:
+    """Format bytes to human readable format"""
+    for unit in ['B', 'KB', 'MB', 'GB', 'TB']:
+        if bytes_value < 1024.0:
+            return f"{bytes_value:.2f} {unit}"
+        bytes_value /= 1024.0
+    return f"{bytes_value:.2f} PB"
+
+
+def format_duration(seconds: float) -> str:
+    """Format duration in seconds to human readable format"""
+    if seconds < 60:
+        return f"{seconds:.2f}s"
+    elif seconds < 3600:
+        minutes = seconds / 60
+        return f"{minutes:.2f}m"
+    elif seconds < 86400:
+        hours = seconds / 3600
+        return f"{hours:.2f}h"
+    else:
+        days = seconds / 86400
+        return f"{days:.2f}d"
+
+
+def ensure_directory(path: str):
+    """Ensure directory exists"""
+    Path(path).mkdir(parents=True, exist_ok=True)
+
+
+def timestamp_to_iso(timestamp: float) -> str:
+    """Convert Unix timestamp to ISO format string"""
+    from datetime import datetime
+    return datetime.fromtimestamp(timestamp).isoformat()
+
+
+class Timer:
+    """Context manager for timing operations"""
+    
+    def __init__(self, name: str = "Operation"):
+        self.name = name
+        self.start_time = None
+        self.duration = None
+    
+    def __enter__(self):
+        self.start_time = time.time()
+        return self
+    
+    def __exit__(self, *args):
+        self.duration = time.time() - self.start_time
+        print(f"{self.name} took {format_duration(self.duration)}")
\ No newline at end of file
diff --git a/src_dashboard_backend_api.py b/src_dashboard_backend_api.py
new file mode 100644
index 00000000..ad95931f
--- /dev/null
+++ b/src_dashboard_backend_api.py
@@ -0,0 +1,113 @@
+"""
+Dashboard API Server
+Provides RESTful API for dashboard frontend
+"""
+
+import asyncio
+import logging
+from typing import Dict, Any
+from aiohttp import web
+
+
+
+class DashboardAPI:
+    """RESTful API server for dashboard"""
+    
+    def __init__(self, metrics_collector, config: Dict[str, Any]):
+        self.metrics_collector = metrics_collector
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.app = web.Application()
+        self._setup_routes()
+        
+    def _setup_routes(self):
+        """Setup API routes"""
+        self.app.router.add_get('/api/metrics/current', self.get_current_metrics)
+        self.app.router.add_get('/api/metrics/history', self.get_metrics_history)
+        self.app.router.add_get('/api/health', self.health_check)
+        self.app.router.add_get('/', self.serve_dashboard)
+        
+        # Enable CORS
+        self.app.middlewares.append(self._cors_middleware)
+    
+    @web.middleware
+    async def _cors_middleware(self, request, handler):
+        """CORS middleware with basic preflight handling and restricted origins."""
+        origin = request.headers.get('Origin')
+
+        # Allow overriding CORS origins via config; default to localhost-only.
+        allowed_origins = self.config.get(
+            'allowed_origins',
+            ['http://localhost', 'http://127.0.0.1']
+        )
+
+        # Handle preflight OPTIONS requests directly to avoid 405s on handlers.
+        if request.method == 'OPTIONS':
+            response = web.Response(status=204)
+        else:
+            response = await handler(request)
+
+        # Set CORS headers only for allowed origins.
+        if origin and origin in allowed_origins:
+            response.headers['Access-Control-Allow-Origin'] = origin
+            # Ensure caches vary on Origin when CORS is applied.
+            existing_vary = response.headers.get('Vary')
+            if existing_vary:
+                if 'Origin' not in existing_vary:
+                    response.headers['Vary'] = existing_vary + ', Origin'
+            else:
+                response.headers['Vary'] = 'Origin'
+
+        response.headers['Access-Control-Allow-Methods'] = 'GET, POST, OPTIONS'
+        response.headers['Access-Control-Allow-Headers'] = 'Content-Type'
+        response.headers['Access-Control-Max-Age'] = '3600'
+        return response
+    
+    async def get_current_metrics(self, request):
+        """Get current metrics"""
+        try:
+            metrics = self.metrics_collector.get_current_metrics()
+            return web.json_response(metrics)
+        except Exception as e:
+            self.logger.error(f"Error getting current metrics: {e}")
+            return web.json_response({'error': str(e)}, status=500)
+    
+    async def get_metrics_history(self, request):
+        """Get metrics history"""
+        try:
+            limit = int(request.query.get('limit', 100))
+            history = self.metrics_collector.get_metrics_history(limit)
+            return web.json_response({'history': history})
+        except Exception as e:
+            self.logger.error(f"Error getting metrics history: {e}")
+            return web.json_response({'error': str(e)}, status=500)
+    
+    async def health_check(self, request):
+        """Health check endpoint"""
+        return web.json_response({'status': 'healthy', 'timestamp': asyncio.get_event_loop().time()})
+    
+    async def serve_dashboard(self, request):
+        """Serve dashboard HTML"""
+        html = """
+        <!DOCTYPE html>
+        <html>
+        <head>
+            <title>Stress Testing Dashboard</title>
+            <meta charset="utf-8">
+        </head>
+        <body>
+            <h1>Stress Testing Dashboard</h1>
+            <p>API is running. Use /api/metrics/current to get metrics.</p>
+        </body>
+        </html>
+        """
+        return web.Response(text=html, content_type='text/html')
+    
+    async def start(self):
+        """Start the API server"""
+        port = self.config.get('port', 8080)
+        runner = web.AppRunner(self.app)
+        await runner.setup()
+        site = web.TCPSite(runner, '0.0.0.0', port)
+        await site.start()
+        self.logger.info(f"Dashboard API started on port {port}")
\ No newline at end of file
diff --git a/src_dashboard_backend_metrics_collector.py b/src_dashboard_backend_metrics_collector.py
new file mode 100644
index 00000000..8b192a8a
--- /dev/null
+++ b/src_dashboard_backend_metrics_collector.py
@@ -0,0 +1,142 @@
+"""
+Metrics Collection System
+Collects, aggregates, and stores system metrics
+"""
+
+
+import logging
+import time
+from typing import Dict, Any, List
+from dataclasses import dataclass, asdict
+from datetime import datetime
+import json
+
+
+@dataclass
+class SystemMetrics:
+    """Container for system metrics"""
+    timestamp: float
+    error_rate: float = 0.0
+    stress_load: float = 0.0
+    bypassed_errors: int = 0
+    fixed_errors: int = 0
+    manual_intervention_count: int = 0
+    success_rate: float = 100.0
+    uptime: float = 0.0
+    active_recovery_processes: int = 0
+    total_requests: int = 0
+    successful_requests: int = 0
+    failed_requests: int = 0
+
+
+class MetricsCollector:
+    """Collects and manages system metrics"""
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.metrics = SystemMetrics(timestamp=time.time())
+        self.metrics_history: List[SystemMetrics] = []
+        self.start_time = time.time()
+        self.storage_path = config.get('storage_path', 'data/metrics.json')
+        
+    async def record_test_results(self, results):
+        """Record stress test results"""
+        self.metrics.total_requests += results.total_requests
+        self.metrics.successful_requests += results.successful_requests
+        self.metrics.failed_requests += results.failed_requests
+        
+        # Calculate error rate
+        if self.metrics.total_requests > 0:
+            self.metrics.error_rate = (
+                self.metrics.failed_requests / self.metrics.total_requests
+            ) * 100
+            
+            self.metrics.success_rate = (
+                self.metrics.successful_requests / self.metrics.total_requests
+            ) * 100
+        
+        self.logger.debug(f"Recorded test results: {results.total_requests} requests")
+    
+    async def record_error(self, classification):
+        """Record an error classification"""
+
+        self.logger.debug(f"Recorded error: {classification.error_type}")
+    
+    async def record_critical_error(self, exception: Exception):
+        """Record a critical error"""
+        self.logger.critical(f"Critical error recorded: {exception}")
+    
+    async def increment_active_recovery(self):
+        """Increment active recovery process count"""
+        self.metrics.active_recovery_processes += 1
+    
+    async def decrement_active_recovery(self):
+        """Decrement active recovery process count"""
+        self.metrics.active_recovery_processes = max(
+            0, 
+            self.metrics.active_recovery_processes - 1
+        )
+    
+    async def increment_fixed_errors(self):
+        """Increment fixed errors count"""
+        self.metrics.fixed_errors += 1
+        self.logger.info(f"Fixed errors count: {self.metrics.fixed_errors}")
+    
+    async def increment_bypassed_errors(self):
+        """Increment bypassed errors count"""
+        self.metrics.bypassed_errors += 1
+        self.logger.info(f"Bypassed errors count: {self.metrics.bypassed_errors}")
+    
+    async def increment_manual_intervention_count(self):
+        """Increment manual intervention count"""
+        self.metrics.manual_intervention_count += 1
+        self.logger.warning(
+            f"Manual intervention count: {self.metrics.manual_intervention_count}"
+        )
+    
+    async def record_system_metrics(self, metrics: Dict[str, Any]):
+        """Record system-level metrics"""
+        self.metrics.stress_load = metrics.get('load', 0.0)
+        self.metrics.uptime = time.time() - self.start_time
+        
+    async def aggregate_and_store(self):
+        """Aggregate and store metrics"""
+        # Update timestamp
+        self.metrics.timestamp = time.time()
+        
+        # Add to history
+        self.metrics_history.append(SystemMetrics(**asdict(self.metrics)))
+        
+        # Keep only last 1000 entries
+        if len(self.metrics_history) > 1000:
+            self.metrics_history = self.metrics_history[-1000:]
+        
+        # Store to file
+        await self._save_metrics()
+        
+        self.logger.debug("Metrics aggregated and stored")
+    
+    async def _save_metrics(self):
+        """Save metrics to storage"""
+        try:
+
+            # In real implementation, save to database or file
+            # For now, just log
+            self.logger.debug(f"Metrics saved: {len(self.metrics_history)} entries")
+            
+        except Exception as e:
+            self.logger.error(f"Error saving metrics: {e}")
+    
+    def get_current_metrics(self) -> Dict[str, Any]:
+        """Get current metrics as dictionary"""
+        return asdict(self.metrics)
+    
+    def get_metrics_history(self, limit: int = 100) -> List[Dict[str, Any]]:
+        """Get metrics history"""
+        return [asdict(m) for m in self.metrics_history[-limit:]]
+    
+    async def close(self):
+        """Close metrics collector"""
+        await self._save_metrics()
+        self.logger.info("Metrics collector closed")
\ No newline at end of file
diff --git a/src_dashboard_frontend_index.html b/src_dashboard_frontend_index.html
new file mode 100644
index 00000000..6f1d77c1
--- /dev/null
+++ b/src_dashboard_frontend_index.html
@@ -0,0 +1,156 @@
+<!DOCTYPE html>
+<html lang="en">
+<head>
+    <meta charset="UTF-8">
+    <meta name="viewport" content="width=device-width, initial-scale=1.0">
+    <title>Intelligent Stress Testing Dashboard</title>
+    <link rel="stylesheet" href="styles.css">
+    <script src="https://cdn.jsdelivr.net/npm/chart.js@3.9.1/dist/chart.min.js"></script>
+</head>
+<body>
+    <div class="container">
+        <!-- Header -->
+        <header class="header">
+            <h1>🚀 Intelligent Stress Testing Dashboard</h1>
+            <div class="status-indicator">
+                <span class="status-dot" id="statusDot"></span>
+                <span id="statusText">Connecting...</span>
+            </div>
+        </header>
+
+        <!-- Main Metrics Grid -->
+        <div class="metrics-grid">
+            <!-- Error Rate -->
+            <div class="metric-card">
+                <div class="metric-icon">⚠️</div>
+                <div class="metric-content">
+                    <h3>Error Rate</h3>
+                    <div class="metric-value" id="errorRate">0.00%</div>
+                    <div class="metric-label">of total requests</div>
+                </div>
+            </div>
+
+            <!-- Stress Load -->
+            <div class="metric-card">
+                <div class="metric-icon">📊</div>
+                <div class="metric-content">
+                    <h3>Stress Load</h3>
+                    <div class="metric-value" id="stressLoad">0.00%</div>
+                    <div class="metric-label">current capacity</div>
+                </div>
+            </div>
+
+            <!-- Bypassed Errors -->
+            <div class="metric-card">
+                <div class="metric-icon">⏭️</div>
+                <div class="metric-content">
+                    <h3>Bypassed Errors</h3>
+                    <div class="metric-value" id="bypassedErrors">0</div>
+                    <div class="metric-label">auto-handled</div>
+                </div>
+            </div>
+
+            <!-- Fixed Errors -->
+            <div class="metric-card success">
+                <div class="metric-icon">✅</div>
+                <div class="metric-content">
+                    <h3>Fixed Errors</h3>
+                    <div class="metric-value" id="fixedErrors">0</div>
+                    <div class="metric-label">automatically resolved</div>
+                </div>
+            </div>
+
+            <!-- Manual Intervention -->
+            <div class="metric-card warning">
+                <div class="metric-icon">👤</div>
+                <div class="metric-content">
+                    <h3>Manual Intervention</h3>
+                    <div class="metric-value" id="manualIntervention">0</div>
+                    <div class="metric-label">requires attention</div>
+                </div>
+            </div>
+
+            <!-- Success Rate -->
+            <div class="metric-card success">
+                <div class="metric-icon">🎯</div>
+                <div class="metric-content">
+                    <h3>Success Rate</h3>
+                    <div class="metric-value" id="successRate">100.00%</div>
+                    <div class="metric-label">overall performance</div>
+                </div>
+            </div>
+
+            <!-- System Uptime -->
+            <div class="metric-card">
+                <div class="metric-icon">⏱️</div>
+                <div class="metric-content">
+                    <h3>System Uptime</h3>
+                    <div class="metric-value" id="uptime">0h 0m</div>
+                    <div class="metric-label">continuous operation</div>
+                </div>
+            </div>
+
+            <!-- Active Recovery -->
+            <div class="metric-card">
+                <div class="metric-icon">🔧</div>
+                <div class="metric-content">
+                    <h3>Active Recovery</h3>
+                    <div class="metric-value" id="activeRecovery">0</div>
+                    <div class="metric-label">processes running</div>
+                </div>
+            </div>
+        </div>
+
+        <!-- Charts Section -->
+        <div class="charts-section">
+            <div class="chart-card">
+                <h3>Error Rate Trend</h3>
+                <canvas id="errorRateChart"></canvas>
+            </div>
+            <div class="chart-card">
+                <h3>Request Statistics</h3>
+                <canvas id="requestStatsChart"></canvas>
+            </div>
+        </div>
+
+        <!-- Detailed Statistics -->
+        <div class="stats-section">
+            <h2>📈 Detailed Statistics</h2>
+            <table class="stats-table">
+                <thead>
+                    <tr>
+                        <th>Metric</th>
+                        <th>Current Value</th>
+                        <th>Total</th>
+                    </tr>
+                </thead>
+                <tbody id="statsTableBody">
+                    <tr>
+                        <td>Total Requests</td>
+                        <td id="totalRequests">0</td>
+                        <td>-</td>
+                    </tr>
+                    <tr>
+                        <td>Successful Requests</td>
+                        <td id="successfulRequests">0</td>
+                        <td><span id="successPercentage">0%</span></td>
+                    </tr>
+                    <tr>
+                        <td>Failed Requests</td>
+                        <td id="failedRequests">0</td>
+                        <td><span id="failurePercentage">0%</span></td>
+                    </tr>
+                </tbody>
+            </table>
+        </div>
+
+        <!-- Footer -->
+        <footer class="footer">
+            <p>Last Updated: <span id="lastUpdate">Never</span></p>
+            <p>Intelligent Stress Testing System v1.0.0</p>
+        </footer>
+    </div>
+
+    <script src="dashboard.js"></script>
+</body>
+</html>
\ No newline at end of file
diff --git a/src_dashboard_frontend_styles.css b/src_dashboard_frontend_styles.css
new file mode 100644
index 00000000..7756c79c
--- /dev/null
+++ b/src_dashboard_frontend_styles.css
@@ -0,0 +1,243 @@
+/* Global Styles */
+* {
+    margin: 0;
+    padding: 0;
+    box-sizing: border-box;
+}
+
+body {
+    font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;
+    background: linear-gradient(135deg, #667eea 0%, #764ba2 100%);
+    color: #333;
+    line-height: 1.6;
+    min-height: 100vh;
+}
+
+.container {
+    max-width: 1400px;
+    margin: 0 auto;
+    padding: 20px;
+}
+
+/* Header */
+.header {
+    background: white;
+    padding: 30px;
+    border-radius: 15px;
+    box-shadow: 0 10px 30px rgba(0, 0, 0, 0.1);
+    margin-bottom: 30px;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+}
+
+.header h1 {
+    font-size: 2.5rem;
+    color: #667eea;
+    text-shadow: 2px 2px 4px rgba(0, 0, 0, 0.1);
+}
+
+.status-indicator {
+    display: flex;
+    align-items: center;
+    gap: 10px;
+    font-size: 1.1rem;
+}
+
+.status-dot {
+    width: 15px;
+    height: 15px;
+    border-radius: 50%;
+    background-color: #ffc107;
+    animation: pulse 2s infinite;
+}
+
+.status-dot.online {
+    background-color: #4caf50;
+}
+
+.status-dot.offline {
+    background-color: #f44336;
+    animation: none;
+}
+
+@keyframes pulse {
+    0%, 100% {
+        opacity: 1;
+    }
+    50% {
+        opacity: 0.5;
+    }
+}
+
+/* Metrics Grid */
+.metrics-grid {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(280px, 1fr));
+    gap: 20px;
+    margin-bottom: 30px;
+}
+
+.metric-card {
+    background: white;
+    padding: 25px;
+    border-radius: 15px;
+    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
+    display: flex;
+    align-items: center;
+    gap: 20px;
+    transition: transform 0.3s ease, box-shadow 0.3s ease;
+}
+
+.metric-card:hover {
+    transform: translateY(-5px);
+    box-shadow: 0 10px 25px rgba(0, 0, 0, 0.15);
+}
+
+.metric-card.success {
+    border-left: 5px solid #4caf50;
+}
+
+.metric-card.warning {
+    border-left: 5px solid #ff9800;
+}
+
+.metric-card.error {
+    border-left: 5px solid #f44336;
+}
+
+.metric-icon {
+    font-size: 3rem;
+}
+
+.metric-content {
+    flex: 1;
+}
+
+.metric-content h3 {
+    font-size: 0.9rem;
+    color: #666;
+    text-transform: uppercase;
+    letter-spacing: 1px;
+    margin-bottom: 10px;
+}
+
+.metric-value {
+    font-size: 2.5rem;
+    font-weight: bold;
+    color: #667eea;
+    margin-bottom: 5px;
+}
+
+.metric-label {
+    font-size: 0.85rem;
+    color: #999;
+}
+
+/* Charts Section */
+.charts-section {
+    display: grid;
+    grid-template-columns: repeat(auto-fit, minmax(500px, 1fr));
+    gap: 20px;
+    margin-bottom: 30px;
+}
+
+.chart-card {
+    background: white;
+    padding: 25px;
+    border-radius: 15px;
+    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
+}
+
+.chart-card h3 {
+    margin-bottom: 20px;
+    color: #667eea;
+    font-size: 1.3rem;
+}
+
+/* Statistics Table */
+.stats-section {
+    background: white;
+    padding: 30px;
+    border-radius: 15px;
+    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
+    margin-bottom: 30px;
+}
+
+.stats-section h2 {
+    margin-bottom: 20px;
+    color: #667eea;
+}
+
+.stats-table {
+    width: 100%;
+    border-collapse: collapse;
+}
+
+.stats-table th,
+.stats-table td {
+    padding: 15px;
+    text-align: left;
+    border-bottom: 1px solid #eee;
+}
+
+.stats-table th {
+    background-color: #f8f9fa;
+    font-weight: 600;
+    color: #667eea;
+}
+
+.stats-table tr:hover {
+    background-color: #f8f9fa;
+}
+
+/* Footer */
+.footer {
+    background: white;
+    padding: 20px;
+    border-radius: 15px;
+    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.1);
+    text-align: center;
+    color: #666;
+}
+
+.footer p {
+    margin: 5px 0;
+}
+
+/* Responsive Design */
+@media (max-width: 768px) {
+    .header {
+        flex-direction: column;
+        gap: 20px;
+        text-align: center;
+    }
+
+    .header h1 {
+        font-size: 1.8rem;
+    }
+
+    .metrics-grid {
+        grid-template-columns: 1fr;
+    }
+
+    .charts-section {
+        grid-template-columns: 1fr;
+    }
+}
+
+/* Loading Animation */
+@keyframes shimmer {
+    0% {
+        background-position: -1000px 0;
+    }
+    100% {
+        background-position: 1000px 0;
+    }
+}
+
+.loading {
+    background: linear-gradient(to right, #f6f7f8 0%, #edeef1 20%, #f6f7f8 40%, #f6f7f8 100%);
+    background-size: 1000px 100%;
+    animation: shimmer 2s infinite linear;
+}
\ No newline at end of file
diff --git a/src_error_handler_auto_recovery.py b/src_error_handler_auto_recovery.py
new file mode 100644
index 00000000..6345bab8
--- /dev/null
+++ b/src_error_handler_auto_recovery.py
@@ -0,0 +1,269 @@
+"""
+Automatic Error Recovery System
+Handles error recovery with retry logic and multiple strategies
+"""
+
+import asyncio
+import logging
+import time
+from typing import Optional, Dict, Any, Callable
+from dataclasses import dataclass
+from error_handler.error_classifier import ErrorClassification, ErrorAction
+from error_handler.retry_manager import RetryManager
+
+
+@dataclass
+class RecoveryResult:
+    """Result of a recovery attempt"""
+    success: bool
+    attempts: int
+    duration: float
+    strategy_used: str
+    error_message: Optional[str] = None
+
+
+class AutoRecoveryManager:
+    """Manages automatic error recovery with multiple strategies"""
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.retry_manager = RetryManager(config)
+        self.recovery_strategies = self._initialize_strategies()
+        self.active_recoveries = 0
+        
+    def _initialize_strategies(self) -> Dict[str, Callable]:
+        """Initialize recovery strategy functions"""
+        return {
+            'generic_retry': self._strategy_generic_retry,
+            'exponential_backoff': self._strategy_exponential_backoff,
+            'reconnect_with_backoff': self._strategy_reconnect_with_backoff,
+            'rate_limit_backoff': self._strategy_rate_limit_backoff,
+            'restart_with_increased_memory': self._strategy_restart_component,
+            'refresh_credentials': self._strategy_refresh_credentials,
+            'log_and_continue': self._strategy_log_and_continue,
+        }
+    
+    async def recover(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> bool:
+        """
+        Attempt to recover from an error
+        Returns True if recovery was successful
+        """
+        self.active_recoveries += 1
+        start_time = time.time()
+        
+        try:
+            self.logger.info(
+                f"Starting recovery for {classification.error_type} "
+                f"using strategy: {classification.recommended_strategy}"
+            )
+            
+            # Get the recovery strategy
+            strategy = self.recovery_strategies.get(
+                classification.recommended_strategy,
+                self._strategy_generic_retry
+            )
+            
+            # Execute recovery with retry logic
+            result = await self.retry_manager.execute_with_retry(
+                strategy,
+                error,
+                classification
+            )
+            
+            duration = time.time() - start_time
+            
+            if result.success:
+                self.logger.info(
+                    f"✅ Recovery successful after {result.attempts} attempts "
+                    f"in {duration:.2f}s"
+                )
+            else:
+                self.logger.warning(
+                    f"❌ Recovery failed after {result.attempts} attempts "
+                    f"in {duration:.2f}s: {result.error_message}"
+                )
+            
+            return result.success
+            
+        except Exception as e:
+            self.logger.error(f"Error during recovery process: {e}", exc_info=True)
+            return False
+        finally:
+            self.active_recoveries -= 1
+    
+    # Recovery Strategies
+    
+    async def _strategy_generic_retry(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> RecoveryResult:
+        """Generic retry strategy"""
+        self.logger.info("Executing generic retry strategy")
+        
+        # Simple retry with small delay
+        await asyncio.sleep(1)
+        
+        return RecoveryResult(
+            success=True,
+            attempts=1,
+            duration=1.0,
+            strategy_used='generic_retry'
+        )
+    
+    async def _strategy_exponential_backoff(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> RecoveryResult:
+        """Exponential backoff retry strategy"""
+        max_attempts = self.config.get('max_retries', 5)
+        base_delay = self.config.get('retry_delay', 2)
+        
+        for attempt in range(max_attempts):
+            delay = base_delay * (2 ** attempt)
+            self.logger.info(f"Attempt {attempt + 1}/{max_attempts}, waiting {delay}s...")
+            
+            await asyncio.sleep(delay)
+            
+            # Simulate retry success (in real implementation, retry the actual operation)
+            if attempt >= 2:  # Success after 3 attempts
+                return RecoveryResult(
+                    success=True,
+                    attempts=attempt + 1,
+                    duration=sum(base_delay * (2 ** i) for i in range(attempt + 1)),
+                    strategy_used='exponential_backoff'
+                )
+        
+        return RecoveryResult(
+            success=False,
+            attempts=max_attempts,
+            duration=sum(base_delay * (2 ** i) for i in range(max_attempts)),
+            strategy_used='exponential_backoff',
+            error_message="Max retries exceeded"
+        )
+    
+    async def _strategy_reconnect_with_backoff(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> RecoveryResult:
+        """Reconnection strategy with exponential backoff"""
+        self.logger.info("Executing reconnect with backoff strategy")
+        
+        max_attempts = 5
+        base_delay = 2
+        
+        for attempt in range(max_attempts):
+            try:
+                delay = base_delay * (2 ** attempt)
+                self.logger.info(f"Reconnection attempt {attempt + 1}/{max_attempts}")
+                
+                await asyncio.sleep(delay)
+                
+                # Simulate reconnection logic
+                # In real implementation, attempt to reconnect to the service
+                
+                if attempt >= 1:  # Success after 2 attempts
+                    return RecoveryResult(
+                        success=True,
+                        attempts=attempt + 1,
+                        duration=sum(base_delay * (2 ** i) for i in range(attempt + 1)),
+                        strategy_used='reconnect_with_backoff'
+                    )
+                    
+            except Exception as e:
+                self.logger.warning(f"Reconnection attempt {attempt + 1} failed: {e}")
+                continue
+        
+        return RecoveryResult(
+            success=False,
+            attempts=max_attempts,
+            duration=sum(base_delay * (2 ** i) for i in range(max_attempts)),
+            strategy_used='reconnect_with_backoff',
+            error_message="Failed to reconnect"
+        )
+    
+    async def _strategy_rate_limit_backoff(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> RecoveryResult:
+        """Rate limit backoff strategy"""
+        self.logger.info("Executing rate limit backoff strategy")
+        
+        # Wait longer for rate limits
+        delay = 60  # 1 minute
+        await asyncio.sleep(delay)
+        
+        return RecoveryResult(
+            success=True,
+            attempts=1,
+            duration=delay,
+            strategy_used='rate_limit_backoff'
+        )
+    
+    async def _strategy_restart_component(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> RecoveryResult:
+        """Restart component strategy (for critical errors)"""
+        self.logger.warning("Executing component restart strategy")
+        
+        # Simulate component restart
+        await asyncio.sleep(5)
+        
+        return RecoveryResult(
+            success=True,
+            attempts=1,
+            duration=5.0,
+            strategy_used='restart_with_increased_memory'
+        )
+    
+    async def _strategy_refresh_credentials(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> RecoveryResult:
+        """Refresh authentication credentials"""
+        self.logger.info("Executing credential refresh strategy")
+        
+        # Simulate credential refresh
+        await asyncio.sleep(2)
+        
+        return RecoveryResult(
+            success=True,
+            attempts=1,
+            duration=2.0,
+            strategy_used='refresh_credentials'
+        )
+    
+    async def _strategy_log_and_continue(
+        self, 
+        error: Exception, 
+        classification: ErrorClassification
+    ) -> RecoveryResult:
+        """Simply log the error and continue"""
+        self.logger.info(f"Logging error and continuing: {error}")
+        
+        return RecoveryResult(
+            success=True,
+            attempts=1,
+            duration=0.0,
+            strategy_used='log_and_continue'
+        )
+    
+    async def stop(self):
+        """Stop the recovery manager"""
+        # Wait for active recoveries to complete
+        while self.active_recoveries > 0:
+            self.logger.info(f"Waiting for {self.active_recoveries} active recoveries to complete...")
+            await asyncio.sleep(1)
+        
+        self.logger.info("Auto recovery manager stopped")
\ No newline at end of file
diff --git a/src_error_handler_error_classifier.py b/src_error_handler_error_classifier.py
new file mode 100644
index 00000000..735b5c7c
--- /dev/null
+++ b/src_error_handler_error_classifier.py
@@ -0,0 +1,229 @@
+"""
+Error Classification System
+Automatically categorizes errors and determines handling strategy
+"""
+
+import logging
+import re
+from dataclasses import dataclass
+from enum import Enum
+from typing import Dict, Any, List
+
+
+class ErrorCategory(Enum):
+    """Error severity categories"""
+    CRITICAL = "critical"
+    RECOVERABLE = "recoverable"
+    IGNORABLE = "ignorable"
+    WARNING = "warning"
+
+
+class ErrorAction(Enum):
+    """Actions to take for different error types"""
+    ALERT_AND_RETRY = "alert_and_retry"
+    AUTO_RETRY = "auto_retry"
+    LOG_ONLY = "log_only"
+    ESCALATE = "escalate"
+
+
+@dataclass
+class ErrorClassification:
+    """Result of error classification"""
+    category: ErrorCategory
+    action: ErrorAction
+    error_type: str
+    severity_score: int  # 1-10
+    is_critical: bool
+    requires_manual_intervention: bool
+    recommended_strategy: str
+    metadata: Dict[str, Any]
+
+
+class ErrorClassifier:
+    """Intelligent error classification system"""
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.error_rules = self._load_error_rules()
+        self.pattern_cache = {}
+        
+    def _load_error_rules(self) -> Dict[str, Dict]:
+        """Load error handling rules from config"""
+        rules = {}
+        
+        # Critical errors
+        for error_type in self.config.get('error_categories', {}).get('critical', []):
+            rules[error_type] = {
+                'category': ErrorCategory.CRITICAL,
+                'action': ErrorAction.ALERT_AND_RETRY,
+                'severity': 9,
+                'manual_intervention': True
+            }
+        
+        # Recoverable errors
+        for error_type in self.config.get('error_categories', {}).get('recoverable', []):
+            rules[error_type] = {
+                'category': ErrorCategory.RECOVERABLE,
+                'action': ErrorAction.AUTO_RETRY,
+                'severity': 5,
+                'manual_intervention': False
+            }
+        
+        # Ignorable errors
+        for error_type in self.config.get('error_categories', {}).get('ignorable', []):
+            rules[error_type] = {
+                'category': ErrorCategory.IGNORABLE,
+                'action': ErrorAction.LOG_ONLY,
+                'severity': 2,
+                'manual_intervention': False
+            }
+        
+        return rules
+    
+    def classify(self, error: Exception) -> ErrorClassification:
+        """Classify an error and determine handling strategy"""
+        error_type = type(error).__name__
+        error_message = str(error)
+        
+        # Check if we have a specific rule for this error type
+        if error_type in self.error_rules:
+            rule = self.error_rules[error_type]
+            return self._create_classification(error_type, error_message, rule)
+        
+        # Pattern-based classification
+        classification = self._classify_by_pattern(error_type, error_message)
+        if classification:
+            return classification
+        
+        # Default classification for unknown errors
+        return self._create_default_classification(error_type, error_message)
+    
+    def classify_exception(self, exception: Exception) -> ErrorClassification:
+        """Classify an exception (alias for classify)"""
+        return self.classify(exception)
+    
+    def _classify_by_pattern(self, error_type: str, error_message: str) -> ErrorClassification:
+        """Classify error based on message patterns"""
+        patterns = {
+            r'connection.*refused|timeout|timed out': {
+                'category': ErrorCategory.RECOVERABLE,
+                'action': ErrorAction.AUTO_RETRY,
+                'severity': 6,
+                'strategy': 'exponential_backoff'
+            },
+            r'out of memory|oom|memory error': {
+                'category': ErrorCategory.CRITICAL,
+                'action': ErrorAction.ALERT_AND_RETRY,
+                'severity': 10,
+                'strategy': 'restart_with_increased_memory'
+            },
+            r'rate limit|too many requests|429': {
+                'category': ErrorCategory.RECOVERABLE,
+                'action': ErrorAction.AUTO_RETRY,
+                'severity': 4,
+                'strategy': 'rate_limit_backoff'
+            },
+            r'database.*connection|db error|sql': {
+                'category': ErrorCategory.CRITICAL,
+                'action': ErrorAction.ALERT_AND_RETRY,
+                'severity': 8,
+                'strategy': 'reconnect_with_backoff'
+            },
+            r'unauthorized|authentication|forbidden': {
+                'category': ErrorCategory.CRITICAL,
+                'action': ErrorAction.ESCALATE,
+                'severity': 9,
+                'strategy': 'refresh_credentials'
+            },
+            r'not found|404': {
+                'category': ErrorCategory.WARNING,
+                'action': ErrorAction.LOG_ONLY,
+                'severity': 3,
+                'strategy': 'log_and_continue'
+            }
+        }
+        
+        for pattern, rule in patterns.items():
+            if re.search(pattern, error_message, re.IGNORECASE):
+                return self._create_classification(
+                    error_type, 
+                    error_message, 
+                    {
+                        'category': rule['category'],
+                        'action': rule['action'],
+                        'severity': rule['severity'],
+                        'manual_intervention': rule['severity'] >= 8
+                    },
+                    recommended_strategy=rule['strategy']
+                )
+        
+        return None
+    
+    def _create_classification(
+        self, 
+        error_type: str, 
+        error_message: str, 
+        rule: Dict,
+        recommended_strategy: str = None
+    ) -> ErrorClassification:
+        """Create an ErrorClassification object"""
+        
+        # Determine strategy
+        if not recommended_strategy:
+            strategies = self.config.get('auto_fix_strategies', [])
+            for strategy_config in strategies:
+                if strategy_config.get('error_type') == error_type:
+                    recommended_strategy = strategy_config.get('strategy', 'generic_retry')
+                    break
+            
+            if not recommended_strategy:
+                recommended_strategy = 'generic_retry'
+        
+        return ErrorClassification(
+            category=rule['category'],
+            action=rule['action'],
+            error_type=error_type,
+            severity_score=rule['severity'],
+            is_critical=rule['severity'] >= 8,
+            requires_manual_intervention=rule.get('manual_intervention', False),
+            recommended_strategy=recommended_strategy,
+            metadata={
+                'error_message': error_message,
+                'timestamp': logging.Formatter().formatTime(logging.LogRecord(
+                    '', 0, '', 0, '', (), None
+                ))
+            }
+        )
+    
+    def _create_default_classification(
+        self, 
+        error_type: str, 
+        error_message: str
+    ) -> ErrorClassification:
+        """Create default classification for unknown errors"""
+        self.logger.warning(f"Unknown error type: {error_type}, using default classification")
+        
+        return ErrorClassification(
+            category=ErrorCategory.WARNING,
+            action=ErrorAction.AUTO_RETRY,
+            error_type=error_type,
+            severity_score=5,
+            is_critical=False,
+            requires_manual_intervention=False,
+            recommended_strategy='generic_retry',
+            metadata={
+                'error_message': error_message,
+                'is_unknown': True
+            }
+        )
+    
+    def get_statistics(self) -> Dict[str, int]:
+        """Get classification statistics"""
+        return {
+            'total_rules': len(self.error_rules),
+            'critical_rules': sum(1 for r in self.error_rules.values() 
+                                if r['category'] == ErrorCategory.CRITICAL),
+            'recoverable_rules': sum(1 for r in self.error_rules.values() 
+                                   if r['category'] == ErrorCategory.RECOVERABLE),
+        }
\ No newline at end of file
diff --git a/src_error_handler_retry_manager.py b/src_error_handler_retry_manager.py
new file mode 100644
index 00000000..6ef52535
--- /dev/null
+++ b/src_error_handler_retry_manager.py
@@ -0,0 +1,80 @@
+"""
+Retry Management System
+Handles retry logic with configurable policies
+"""
+
+import asyncio
+import logging
+from typing import Callable, Any, Dict
+from dataclasses import dataclass
+
+
+@dataclass
+class RetryPolicy:
+    """Configuration for retry behavior"""
+    max_retries: int = 5
+    base_delay: float = 2.0
+    max_delay: float = 60.0
+    exponential_backoff: bool = True
+    jitter: bool = True
+
+
+class RetryManager:
+    """Manages retry logic for failed operations"""
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.policy = RetryPolicy(
+            max_retries=config.get('max_retries', 5),
+            base_delay=config.get('retry_delay', 2.0),
+            exponential_backoff=config.get('exponential_backoff', True)
+        )
+    
+    async def execute_with_retry(
+        self, 
+        func: Callable, 
+        *args, 
+        **kwargs
+    ):
+        """
+        Execute a function with retry logic
+        Returns the result of the function or raises the last exception
+        """
+        last_exception = None
+        
+        for attempt in range(self.policy.max_retries):
+            try:
+                result = await func(*args, **kwargs)
+                return result
+                
+            except Exception as e:
+                last_exception = e
+                self.logger.warning(
+                    f"Attempt {attempt + 1}/{self.policy.max_retries} failed: {e}"
+                )
+                
+                if attempt < self.policy.max_retries - 1:
+                    delay = self._calculate_delay(attempt)
+                    await asyncio.sleep(delay)
+        
+        # All retries exhausted
+        if last_exception:
+            raise last_exception
+    
+    def _calculate_delay(self, attempt: int) -> float:
+        """Calculate delay before next retry"""
+        if self.policy.exponential_backoff:
+            delay = min(
+                self.policy.base_delay * (2 ** attempt),
+                self.policy.max_delay
+            )
+        else:
+            delay = self.policy.base_delay
+        
+        # Add jitter if enabled
+        if self.policy.jitter:
+            import random
+            delay *= (0.5 + random.random())
+        
+        return delay
\ No newline at end of file
diff --git a/src_pr_automation_pr_manager.py b/src_pr_automation_pr_manager.py
new file mode 100644
index 00000000..422f33e1
--- /dev/null
+++ b/src_pr_automation_pr_manager.py
@@ -0,0 +1,221 @@
+"""
+Pull Request Management System
+Automatically creates, reviews, and merges pull requests
+"""
+
+import asyncio
+import logging
+from typing import Dict, Any, Optional, List
+from datetime import datetime
+import aiohttp
+
+
+class PRManager:
+    """Manages GitHub pull requests automatically"""
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.github_token = config.get('github_token', '')
+        self.repo_owner = config.get('repo_owner', '')
+        self.repo_name = config.get('repo_name', '')
+        self.base_branch = config.get('base_branch', 'master')
+        self.api_base = 'https://api.github.com'
+        
+    async def create_pr(
+        self, 
+        title: str, 
+        body: str, 
+        head_branch: str,
+        labels: List[str] = None
+    ) -> Optional[Dict]:
+        """Create a new pull request"""
+        self.logger.info(f"Creating PR: {title}")
+        
+        url = f"{self.api_base}/repos/{self.repo_owner}/{self.repo_name}/pulls"
+        
+        headers = {
+            'Authorization': f'token {self.github_token}',
+            'Accept': 'application/vnd.github.v3+json'
+        }
+        
+        data = {
+            'title': title,
+            'body': body,
+            'head': head_branch,
+            'base': self.base_branch
+        }
+        
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(url, json=data, headers=headers) as response:
+                    if response.status == 201:
+                        pr_data = await response.json()
+                        pr_number = pr_data['number']
+                        
+                        self.logger.info(f"✅ PR #{pr_number} created successfully")
+                        
+                        # Add labels if provided
+                        if labels:
+                            await self._add_labels(pr_number, labels)
+                        
+                        return pr_data
+                    else:
+                        error_text = await response.text()
+                        self.logger.error(f"Failed to create PR: {error_text}")
+                        return None
+                        
+        except Exception as e:
+            self.logger.error(f"Error creating PR: {e}", exc_info=True)
+            return None
+    
+    async def _add_labels(self, pr_number: int, labels: List[str]):
+        """Add labels to a pull request"""
+        url = f"{self.api_base}/repos/{self.repo_owner}/{self.repo_name}/issues/{pr_number}/labels"
+        
+        headers = {
+            'Authorization': f'token {self.github_token}',
+            'Accept': 'application/vnd.github.v3+json'
+        }
+        
+        data = {'labels': labels}
+        
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(url, json=data, headers=headers) as response:
+                    if response.status == 200:
+                        self.logger.info(f"Labels added to PR #{pr_number}")
+                    else:
+                        self.logger.warning(f"Failed to add labels to PR #{pr_number}")
+                        
+        except Exception as e:
+            self.logger.error(f"Error adding labels: {e}")
+    
+    async def review_pr(self, pr_number: int) -> bool:
+        """Automatically review a pull request"""
+        self.logger.info(f"Reviewing PR #{pr_number}")
+        
+        # Get PR details
+        pr_data = await self._get_pr(pr_number)
+        if not pr_data:
+            return False
+        
+        # Run automated checks
+        checks_passed = await self._run_automated_checks(pr_data)
+        
+        # Submit review
+        return await self._submit_review(pr_number, checks_passed)
+    
+    async def _get_pr(self, pr_number: int) -> Optional[Dict]:
+        """Get pull request details"""
+        url = f"{self.api_base}/repos/{self.repo_owner}/{self.repo_name}/pulls/{pr_number}"
+        
+        headers = {
+            'Authorization': f'token {self.github_token}',
+            'Accept': 'application/vnd.github.v3+json'
+        }
+        
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.get(url, headers=headers) as response:
+                    if response.status == 200:
+                        return await response.json()
+                    return None
+                    
+        except Exception as e:
+            self.logger.error(f"Error getting PR: {e}")
+            return None
+    
+    async def _run_automated_checks(self, pr_data: Dict) -> bool:
+        """Run automated checks on PR"""
+        self.logger.info("Running automated checks...")
+        
+        # Simulate checks
+        await asyncio.sleep(2)
+        
+        # In real implementation:
+        # - Check code quality
+        # - Run tests
+        # - Check for conflicts
+        # - Validate commit messages
+        # - Check file changes
+        
+        return True
+    
+    async def _submit_review(self, pr_number: int, approved: bool) -> bool:
+        """Submit review for PR"""
+        url = f"{self.api_base}/repos/{self.repo_owner}/{self.repo_name}/pulls/{pr_number}/reviews"
+        
+        headers = {
+            'Authorization': f'token {self.github_token}',
+            'Accept': 'application/vnd.github.v3+json'
+        }
+        
+        event = 'APPROVE' if approved else 'REQUEST_CHANGES'
+        body = 'Automated review: All checks passed ✅' if approved else 'Automated review: Issues found ❌'
+        
+        data = {
+            'event': event,
+            'body': body
+        }
+        
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.post(url, json=data, headers=headers) as response:
+                    if response.status == 200:
+                        self.logger.info(f"Review submitted for PR #{pr_number}: {event}")
+                        return True
+                    return False
+                    
+        except Exception as e:
+            self.logger.error(f"Error submitting review: {e}")
+            return False
+    
+    async def merge_pr(self, pr_number: int, merge_method: str = 'squash') -> bool:
+        """Merge a pull request"""
+        self.logger.info(f"Merging PR #{pr_number} using {merge_method}")
+        
+        url = f"{self.api_base}/repos/{self.repo_owner}/{self.repo_name}/pulls/{pr_number}/merge"
+        
+        headers = {
+            'Authorization': f'token {self.github_token}',
+            'Accept': 'application/vnd.github.v3+json'
+        }
+        
+        data = {
+            'merge_method': merge_method
+        }
+        
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.put(url, json=data, headers=headers) as response:
+                    if response.status == 200:
+                        self.logger.info(f"✅ PR #{pr_number} merged successfully")
+                        return True
+                    else:
+                        error_text = await response.text()
+                        self.logger.error(f"Failed to merge PR: {error_text}")
+                        return False
+                        
+        except Exception as e:
+            self.logger.error(f"Error merging PR: {e}", exc_info=True)
+            return False
+    
+    async def auto_process_pr(self, pr_number: int) -> bool:
+        """Automatically review and merge a PR if all checks pass"""
+        self.logger.info(f"Auto-processing PR #{pr_number}")
+        
+        # Review PR
+        review_passed = await self.review_pr(pr_number)
+        
+        if not review_passed:
+            self.logger.warning(f"PR #{pr_number} did not pass review")
+            return False
+        
+        # Wait a bit before merging
+        await asyncio.sleep(5)
+        
+        # Merge PR
+        merge_success = await self.merge_pr(pr_number)
+        
+        return merge_success
\ No newline at end of file
diff --git a/src_stress_tester_main.py b/src_stress_tester_main.py
new file mode 100644
index 00000000..5fb0ba39
--- /dev/null
+++ b/src_stress_tester_main.py
@@ -0,0 +1,200 @@
+#!/usr/bin/env python3
+"""
+Intelligent Stress Testing System - Main Entry Point
+Handles continuous stress testing with automatic error recovery
+"""
+
+import asyncio
+import logging
+import signal
+import sys
+from pathlib import Path
+from typing import Optional
+
+import yaml
+from stress_engine import StressTestEngine
+from network_simulator import NetworkSimulator
+from error_handler.error_classifier import ErrorClassifier
+from error_handler.auto_recovery import AutoRecoveryManager
+from dashboard.backend.metrics_collector import MetricsCollector
+from common.logger import setup_logging
+from common.utils import load_config
+
+
+class StressTestingSystem:
+    """Main orchestrator for the intelligent stress testing system"""
+    
+    def __init__(self, config_path: str):
+        self.config = load_config(config_path)
+        self.logger = setup_logging(self.config.get('logging', {}))
+        
+        # Initialize components
+        self.stress_engine = StressTestEngine(self.config['stress_test'])
+        self.network_simulator = NetworkSimulator(self.config.get('network', {}))
+        self.error_classifier = ErrorClassifier(self.config['error_handling'])
+        self.recovery_manager = AutoRecoveryManager(self.config['error_handling'])
+        self.metrics_collector = MetricsCollector(self.config['monitoring'])
+        
+        self.running = False
+        self._setup_signal_handlers()
+    
+    def _setup_signal_handlers(self):
+        """Setup graceful shutdown on SIGINT/SIGTERM"""
+        signal.signal(signal.SIGINT, self._signal_handler)
+        signal.signal(signal.SIGTERM, self._signal_handler)
+    
+    def _signal_handler(self, signum, frame):
+        """Handle shutdown signals gracefully"""
+        self.logger.info(f"Received signal {signum}, initiating graceful shutdown...")
+        self.running = False
+    
+    async def start(self):
+        """Start the stress testing system"""
+        self.logger.info("🚀 Starting Intelligent Stress Testing System...")
+        self.running = True
+        
+        # Start all components
+        tasks = [
+            asyncio.create_task(self._run_stress_tests()),
+            asyncio.create_task(self._monitor_system()),
+            asyncio.create_task(self._collect_metrics()),
+        ]
+        
+        try:
+            await asyncio.gather(*tasks)
+        except Exception as e:
+            self.logger.error(f"Critical error in main loop: {e}", exc_info=True)
+        finally:
+            await self.shutdown()
+    
+    async def _run_stress_tests(self):
+        """Main stress testing loop with error recovery"""
+        self.logger.info("📊 Starting stress test execution...")
+        
+        while self.running:
+            try:
+                # Execute stress test
+                results = await self.stress_engine.run_test()
+                
+                # Collect metrics
+                await self.metrics_collector.record_test_results(results)
+                
+                # Check for errors
+                if results.has_errors():
+                    await self._handle_errors(results.errors)
+                
+            except Exception as e:
+                self.logger.error(f"Error in stress test loop: {e}")
+                # Classify and handle error in background
+                await self._handle_exception(e)
+                # Continue testing without interruption
+                continue
+            
+            await asyncio.sleep(self.config['stress_test'].get('test_interval', 1))
+    
+    async def _handle_errors(self, errors: list):
+        """Handle errors detected during stress testing"""
+        for error in errors:
+            # Classify error
+            classification = self.error_classifier.classify(error)
+            
+            self.logger.info(f"Error classified as: {classification.category}")
+            
+            # Record error metrics
+            await self.metrics_collector.record_error(classification)
+            
+            # Handle based on classification
+            if classification.requires_manual_intervention:
+                self.logger.warning(f"⚠️ Manual intervention required: {error}")
+                await self.metrics_collector.increment_manual_intervention_count()
+            else:
+                # Start automatic recovery in background
+                asyncio.create_task(
+                    self._auto_recover(error, classification)
+                )
+    
+    async def _handle_exception(self, exception: Exception):
+        """Handle unexpected exceptions"""
+        classification = self.error_classifier.classify_exception(exception)
+        
+        if classification.is_critical:
+            self.logger.critical(f"🚨 Critical error: {exception}")
+            await self.metrics_collector.record_critical_error(exception)
+        else:
+            # Attempt automatic recovery
+            asyncio.create_task(
+                self._auto_recover(exception, classification)
+            )
+    
+    async def _auto_recover(self, error, classification):
+        """Attempt automatic error recovery in background"""
+        self.logger.info(f"🔧 Starting automatic recovery for: {error}")
+        
+        try:
+            # Increment active recovery processes
+            await self.metrics_collector.increment_active_recovery()
+            
+            # Attempt recovery with retry logic
+            success = await self.recovery_manager.recover(error, classification)
+            
+            if success:
+                self.logger.info(f"✅ Successfully recovered from: {error}")
+                await self.metrics_collector.increment_fixed_errors()
+            else:
+                self.logger.warning(f"❌ Failed to recover from: {error}")
+                await self.metrics_collector.increment_bypassed_errors()
+                
+        except Exception as e:
+            self.logger.error(f"Error during recovery: {e}")
+        finally:
+            await self.metrics_collector.decrement_active_recovery()
+    
+    async def _monitor_system(self):
+        """Monitor system health and resources"""
+        self.logger.info("🔍 Starting system monitoring...")
+        
+        while self.running:
+            try:
+                # Collect system metrics
+                metrics = await self.network_simulator.get_network_stats()
+                await self.metrics_collector.record_system_metrics(metrics)
+                
+            except Exception as e:
+                self.logger.error(f"Error in monitoring: {e}")
+            
+            await asyncio.sleep(self.config['monitoring'].get('metrics_interval', 10))
+    
+    async def _collect_metrics(self):
+        """Aggregate and store metrics"""
+        self.logger.info("📈 Starting metrics collection...")
+        
+        while self.running:
+            try:
+                await self.metrics_collector.aggregate_and_store()
+            except Exception as e:
+                self.logger.error(f"Error collecting metrics: {e}")
+            
+            await asyncio.sleep(self.config['monitoring'].get('aggregation_interval', 60))
+    
+    async def shutdown(self):
+        """Graceful shutdown of all components"""
+        self.logger.info("🛑 Shutting down Intelligent Stress Testing System...")
+        
+        # Stop all components
+        await self.stress_engine.stop()
+        await self.recovery_manager.stop()
+        await self.metrics_collector.close()
+        
+        self.logger.info("✅ Shutdown complete")
+
+
+async def main():
+    """Main entry point"""
+    config_path = sys.argv[1] if len(sys.argv) > 1 else 'config/stress_test_config.yaml'
+    
+    system = StressTestingSystem(config_path)
+    await system.start()
+
+
+if __name__ == '__main__':
+    asyncio.run(main())
\ No newline at end of file
diff --git a/src_stress_tester_network_simulator.py b/src_stress_tester_network_simulator.py
new file mode 100644
index 00000000..55b0cab3
--- /dev/null
+++ b/src_stress_tester_network_simulator.py
@@ -0,0 +1,138 @@
+"""
+Network Simulation and Monitoring
+Simulates network conditions and monitors network statistics
+"""
+
+import asyncio
+import logging
+import psutil
+import time
+from typing import Dict, Any
+from dataclasses import dataclass
+
+
+@dataclass
+class NetworkStats:
+    """Network statistics container"""
+    bytes_sent: int
+    bytes_recv: int
+    packets_sent: int
+    packets_recv: int
+    errin: int
+    errout: int
+    dropin: int
+    dropout: int
+    timestamp: float
+
+
+class NetworkSimulator:
+    """Network simulation and monitoring system"""
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.enabled = config.get('enabled', True)
+        self.latency_ms = config.get('latency_ms', 0)
+        self.packet_loss = config.get('packet_loss', 0.0)
+        self.bandwidth_limit = config.get('bandwidth_limit_mbps', 0)
+        
+    async def get_network_stats(self) -> Dict[str, Any]:
+        """Get current network statistics"""
+        try:
+            # Get network I/O statistics
+            net_io = psutil.net_io_counters()
+            
+            stats = NetworkStats(
+                bytes_sent=net_io.bytes_sent,
+                bytes_recv=net_io.bytes_recv,
+                packets_sent=net_io.packets_sent,
+                packets_recv=net_io.packets_recv,
+                errin=net_io.errin,
+                errout=net_io.errout,
+                dropin=net_io.dropin,
+                dropout=net_io.dropout,
+                timestamp=time.time()
+            )
+            
+            # Calculate load percentage
+            load = self._calculate_load(stats)
+            
+            return {
+                'bytes_sent': stats.bytes_sent,
+                'bytes_recv': stats.bytes_recv,
+                'packets_sent': stats.packets_sent,
+                'packets_recv': stats.packets_recv,
+                'errors': stats.errin + stats.errout,
+                'drops': stats.dropin + stats.dropout,
+                'load': load,
+                'timestamp': stats.timestamp
+            }
+            
+        except Exception as e:
+            self.logger.error(f"Error getting network stats: {e}")
+            return {
+                'load': 0.0,
+                'errors': 0,
+                'timestamp': time.time()
+            }
+    
+    def _calculate_load(self, stats: NetworkStats) -> float:
+        """Calculate network load percentage"""
+        # Simple load calculation based on packet rate
+        # In real implementation, this would be more sophisticated
+        
+        if hasattr(self, '_last_stats'):
+            time_delta = stats.timestamp - self._last_stats.timestamp
+            if time_delta > 0:
+                packets_per_sec = (
+                    (stats.packets_sent - self._last_stats.packets_sent) +
+                    (stats.packets_recv - self._last_stats.packets_recv)
+                ) / time_delta
+                
+                # Assume max capacity of 10000 packets/sec
+                load = min((packets_per_sec / 10000) * 100, 100)
+            else:
+                load = 0.0
+        else:
+            load = 0.0
+        
+        self._last_stats = stats
+        return load
+    
+    async def simulate_latency(self, duration_ms: int = None):
+        """Simulate network latency"""
+        if not self.enabled:
+            return
+        
+        latency = duration_ms if duration_ms else self.latency_ms
+        if latency > 0:
+            await asyncio.sleep(latency / 1000)
+    
+    async def simulate_packet_loss(self) -> bool:
+        """
+        Simulate packet loss
+        Returns True if packet should be dropped
+        """
+        if not self.enabled or self.packet_loss <= 0:
+            return False
+        
+        import random
+        return random.random() < (self.packet_loss / 100)
+    
+    def get_system_info(self) -> Dict[str, Any]:
+        """Get system information"""
+        try:
+            cpu_percent = psutil.cpu_percent(interval=1)
+            memory = psutil.virtual_memory()
+            disk = psutil.disk_usage('/')
+            
+            return {
+                'cpu_percent': cpu_percent,
+                'memory_percent': memory.percent,
+                'memory_available_gb': memory.available / (1024**3),
+                'disk_percent': disk.percent,
+                'disk_free_gb': disk.free / (1024**3)
+            }
+        except Exception as e:
+            self.logger.error(f"Error getting system info: {e}")
+            return {}
\ No newline at end of file
diff --git a/src_stress_tester_stress_engine.py b/src_stress_tester_stress_engine.py
new file mode 100644
index 00000000..3c2c2b24
--- /dev/null
+++ b/src_stress_tester_stress_engine.py
@@ -0,0 +1,119 @@
+"""
+Stress Testing Engine
+Handles load generation and test execution
+"""
+
+import asyncio
+import time
+from typing import Dict, List, Any
+from dataclasses import dataclass, field
+import aiohttp
+import logging
+
+
+@dataclass
+class StressTestResult:
+    """Container for stress test results"""
+    start_time: float
+    end_time: float
+    total_requests: int = 0
+    successful_requests: int = 0
+    failed_requests: int = 0
+    average_response_time: float = 0.0
+    errors: List[Exception] = field(default_factory=list)
+    
+    def has_errors(self) -> bool:
+        return len(self.errors) > 0
+    
+    def success_rate(self) -> float:
+        if self.total_requests == 0:
+            return 0.0
+        return (self.successful_requests / self.total_requests) * 100
+
+
+class StressTestEngine:
+    """Executes stress tests with configurable load patterns"""
+    
+    def __init__(self, config: Dict[str, Any]):
+        self.config = config
+        self.logger = logging.getLogger(__name__)
+        self.session: Optional[aiohttp.ClientSession] = None
+        self.running = False
+        
+    async def run_test(self) -> StressTestResult:
+        """Execute a stress test cycle"""
+        start_time = time.time()
+        result = StressTestResult(start_time=start_time, end_time=0)
+        
+        # Initialize session if needed
+        if not self.session:
+            self.session = aiohttp.ClientSession()
+        
+        # Get test configuration
+        max_concurrent = self.config.get('max_concurrent_users', 100)
+        endpoints = self.config.get('endpoints', [])
+        
+        # Create tasks for concurrent requests
+        tasks = []
+        for i in range(max_concurrent):
+            endpoint = self._select_endpoint(endpoints, i)
+            task = asyncio.create_task(self._execute_request(endpoint, result))
+            tasks.append(task)
+        
+        # Wait for all requests to complete
+        await asyncio.gather(*tasks, return_exceptions=True)
+        
+        result.end_time = time.time()
+        result.average_response_time = self._calculate_avg_response_time(result)
+        
+        self.logger.info(
+            f"Stress test completed: {result.successful_requests}/{result.total_requests} successful "
+            f"({result.success_rate():.2f}%)"
+        )
+        
+        return result
+    
+    def _select_endpoint(self, endpoints: List[Dict], index: int) -> Dict:
+        """Select endpoint based on weight distribution"""
+        if not endpoints:
+            return {'path': '/', 'method': 'GET'}
+        
+        # Simple round-robin for now (can be enhanced with weighted selection)
+        return endpoints[index % len(endpoints)]
+    
+    async def _execute_request(self, endpoint: Dict, result: StressTestResult):
+        """Execute a single HTTP request"""
+        result.total_requests += 1
+        
+        try:
+            method = endpoint.get('method', 'GET')
+            path = endpoint.get('path', '/')
+            url = f"{self.config.get('base_url', 'http://localhost')}{path}"
+            
+            async with self.session.request(method, url, timeout=aiohttp.ClientTimeout(total=30)) as response:
+                await response.read()
+                
+                if 200 <= response.status < 300:
+                    result.successful_requests += 1
+                else:
+                    result.failed_requests += 1
+                    
+        except Exception as e:
+            result.failed_requests += 1
+            result.errors.append(e)
+            self.logger.debug(f"Request failed: {e}")
+    
+    def _calculate_avg_response_time(self, result: StressTestResult) -> float:
+        """Calculate average response time"""
+        if result.total_requests == 0:
+            return 0.0
+        
+        duration = result.end_time - result.start_time
+        return duration / result.total_requests
+    
+    async def stop(self):
+        """Stop the stress test engine"""
+        self.running = False
+        if self.session:
+            await self.session.close()
+        self.logger.info("Stress test engine stopped")
\ No newline at end of file
diff --git a/stress-testing-system b/stress-testing-system
new file mode 100644
index 00000000..be87331f
--- /dev/null
+++ b/stress-testing-system
@@ -0,0 +1,13 @@
+stress-testing-system/
+├── src/
+│   ├── stress_tester/
+│   ├── error_handler/
+│   ├── pr_automation/
+│   ├── dashboard/
+│   └── common/
+├── tests/
+├── scripts/
+├── docker/
+├── .github/workflows/
+├── config/
+└── docs/