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#!/usr/bin/env python3
"""
Cyber-LLM Command Line Interface
Provides command-line access to Cyber-LLM agents and capabilities.
"""
import click
import json
import logging
import sys
from pathlib import Path
from typing import Dict, Any, Optional
# Add src to path for imports
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
try:
from agents.recon_agent import ReconAgent, ReconTarget
from agents.safety_agent import SafetyAgent
from orchestration.orchestrator import CyberOrchestrator
except ImportError as e:
print(f"Import error: {e}")
print("Make sure you're running from the project root directory")
sys.exit(1)
# Configure logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
logger = logging.getLogger(__name__)
@click.group()
@click.version_option(version='0.4.0')
@click.option('--config', default='configs/model_config.json', help='Configuration file path')
@click.option('--verbose', '-v', is_flag=True, help='Enable verbose logging')
@click.pass_context
def cli(ctx, config, verbose):
"""Cyber-LLM: Advanced Cybersecurity AI Assistant."""
if verbose:
logging.getLogger().setLevel(logging.DEBUG)
ctx.ensure_object(dict)
ctx.obj['config_path'] = Path(config)
ctx.obj['verbose'] = verbose
@cli.group()
@click.pass_context
def agent(ctx):
"""Run individual agents."""
pass
@agent.command()
@click.option('--target', required=True, help='Target IP, domain, or network')
@click.option('--type', 'target_type', default='auto',
type=click.Choice(['auto', 'ip', 'domain', 'network', 'organization']))
@click.option('--opsec', default='medium',
type=click.Choice(['low', 'medium', 'high', 'maximum']))
@click.option('--output', '-o', help='Output file for results')
@click.option('--dry-run', is_flag=True, help='Show plan without execution')
@click.pass_context
def recon(ctx, target, target_type, opsec, output, dry_run):
"""Run reconnaissance operations."""
try:
# Initialize ReconAgent
agent = ReconAgent()
# Auto-detect target type if needed
if target_type == 'auto':
if target.count('.') == 3 and all(p.isdigit() for p in target.split('.')):
target_type = 'ip'
elif '.' in target:
target_type = 'domain'
else:
target_type = 'organization'
# Create target info
target_info = ReconTarget(
target=target,
target_type=target_type,
constraints={'dry_run': dry_run},
opsec_level=opsec
)
# Execute reconnaissance
result = agent.execute_reconnaissance(target_info)
# Display results
click.echo(f"Reconnaissance Results for {target}")
click.echo("=" * 50)
click.echo(f"Target Type: {target_type}")
click.echo(f"OPSEC Level: {opsec}")
click.echo(f"Status: {result['execution_status']}")
if dry_run:
click.echo("\n[DRY RUN MODE - No actual commands executed]")
# Show planned commands
plan = result['plan']
click.echo("\nPlanned Commands:")
for category, commands in plan['commands'].items():
if commands:
click.echo(f"\n{category.upper()}:")
for cmd in commands:
click.echo(f" {cmd}")
# Show OPSEC notes
if plan['opsec_notes']:
click.echo("\nOPSEC Considerations:")
for note in plan['opsec_notes']:
click.echo(f" • {note}")
# Show risk assessment
click.echo(f"\nRisk Assessment: {plan['risk_assessment']}")
# Save to file if requested
if output:
output_path = Path(output)
with open(output_path, 'w') as f:
json.dump(result, f, indent=2)
click.echo(f"\nResults saved to: {output_path}")
except Exception as e:
click.echo(f"Error during reconnaissance: {str(e)}", err=True)
if ctx.obj['verbose']:
import traceback
traceback.print_exc()
@agent.command()
@click.option('--commands-file', required=True, help='JSON file containing commands to validate')
@click.option('--opsec', default='medium',
type=click.Choice(['low', 'medium', 'high', 'maximum']))
@click.option('--output', '-o', help='Output file for assessment results')
@click.pass_context
def safety(ctx, commands_file, opsec, output):
"""Validate commands for safety and OPSEC compliance."""
try:
# Load commands from file
commands_path = Path(commands_file)
if not commands_path.exists():
click.echo(f"Commands file not found: {commands_file}", err=True)
return
with open(commands_path, 'r') as f:
commands = json.load(f)
# Initialize SafetyAgent
agent = SafetyAgent()
# Validate commands
assessment = agent.validate_commands(commands, opsec_level=opsec)
# Display results
click.echo("Safety Assessment Results")
click.echo("=" * 30)
click.echo(f"Overall Risk: {assessment.overall_risk.value.upper()}")
click.echo(f"Approved: {'✓' if assessment.approved else '✗'}")
# Show individual checks
click.echo("\nDetailed Checks:")
for check in assessment.checks:
status = "✓" if check.risk_level.value == 'low' else "⚠" if check.risk_level.value == 'medium' else "✗"
click.echo(f" {status} {check.check_name}: {check.risk_level.value.upper()}")
if check.violations:
for violation in check.violations:
click.echo(f" • {violation}")
# Show recommendations
if any(check.recommendations for check in assessment.checks):
click.echo("\nRecommendations:")
for check in assessment.checks:
for rec in check.recommendations:
click.echo(f" • {rec}")
# Show safe alternatives if not approved
if not assessment.approved and assessment.safe_alternatives:
click.echo("\nSafe Alternatives:")
for alt in assessment.safe_alternatives:
click.echo(f" • {alt}")
# Save to file if requested
if output:
output_path = Path(output)
assessment_dict = {
'overall_risk': assessment.overall_risk.value,
'approved': assessment.approved,
'summary': assessment.summary,
'checks': [
{
'name': check.check_name,
'risk_level': check.risk_level.value,
'description': check.description,
'violations': check.violations,
'recommendations': check.recommendations
}
for check in assessment.checks
],
'safe_alternatives': assessment.safe_alternatives
}
with open(output_path, 'w') as f:
json.dump(assessment_dict, f, indent=2)
click.echo(f"\nAssessment saved to: {output_path}")
except Exception as e:
click.echo(f"Error during safety assessment: {str(e)}", err=True)
if ctx.obj['verbose']:
import traceback
traceback.print_exc()
@cli.command()
@click.option('--scenario', required=True, help='Scenario name or file path')
@click.option('--target', help='Target for the scenario')
@click.option('--opsec', default='medium',
type=click.Choice(['low', 'medium', 'high', 'maximum']))
@click.option('--dry-run', is_flag=True, help='Simulation mode only')
@click.option('--output', '-o', help='Output directory for results')
@click.pass_context
def orchestrate(ctx, scenario, target, opsec, dry_run, output):
"""Run orchestrated multi-agent scenarios."""
try:
click.echo(f"Orchestrating scenario: {scenario}")
click.echo(f"Target: {target}")
click.echo(f"OPSEC Level: {opsec}")
if dry_run:
click.echo("\n[SIMULATION MODE]")
# Initialize orchestrator
# orchestrator = CyberOrchestrator()
# For now, show what would be orchestrated
click.echo("\nPlanned Orchestration Flow:")
click.echo("1. ReconAgent - Initial target analysis")
click.echo("2. SafetyAgent - OPSEC compliance validation")
click.echo("3. ReconAgent - Execute approved reconnaissance")
click.echo("4. ExplainabilityAgent - Generate rationale")
click.echo("5. Generate final report")
click.echo("\n[ORCHESTRATION FEATURE IN DEVELOPMENT]")
click.echo("This feature will be available in the next release.")
except Exception as e:
click.echo(f"Error during orchestration: {str(e)}", err=True)
if ctx.obj['verbose']:
import traceback
traceback.print_exc()
@cli.command()
@click.option('--input-dir', required=True, help='Input directory with raw data')
@click.option('--output-dir', required=True, help='Output directory for processed data')
@click.option('--stage', default='all',
type=click.Choice(['convert', 'embed', 'preprocess', 'all']))
@click.pass_context
def data(ctx, input_dir, output_dir, stage):
"""Data processing pipeline."""
try:
input_path = Path(input_dir)
output_path = Path(output_dir)
if not input_path.exists():
click.echo(f"Input directory not found: {input_dir}", err=True)
return
output_path.mkdir(parents=True, exist_ok=True)
if stage in ['convert', 'all']:
click.echo("Converting PDF files to text...")
# Run PDF conversion
import subprocess
result = subprocess.run([
'python', 'scripts/convert_pdf_to_txt.py',
'--input', str(input_path),
'--output', str(output_path / 'converted')
], capture_output=True, text=True)
if result.returncode != 0:
click.echo(f"PDF conversion failed: {result.stderr}", err=True)
else:
click.echo("✓ PDF conversion completed")
if stage in ['embed', 'all']:
click.echo("Generating embeddings...")
# Run embedding generation
import subprocess
result = subprocess.run([
'python', 'scripts/generate_embeddings.py',
'--input', str(output_path / 'converted'),
'--output', str(output_path / 'embeddings')
], capture_output=True, text=True)
if result.returncode != 0:
click.echo(f"Embedding generation failed: {result.stderr}", err=True)
else:
click.echo("✓ Embedding generation completed")
if stage in ['preprocess', 'all']:
click.echo("Preprocessing training data...")
# Run preprocessing
import subprocess
result = subprocess.run([
'python', 'src/training/preprocess.py',
'--input', str(output_path / 'converted'),
'--output', str(output_path / 'processed')
], capture_output=True, text=True)
if result.returncode != 0:
click.echo(f"Preprocessing failed: {result.stderr}", err=True)
else:
click.echo("✓ Preprocessing completed")
click.echo(f"\nData processing completed. Results in: {output_path}")
except Exception as e:
click.echo(f"Error during data processing: {str(e)}", err=True)
if ctx.obj['verbose']:
import traceback
traceback.print_exc()
@cli.command()
@click.option('--module', required=True,
type=click.Choice(['recon', 'c2', 'postexploit', 'explainability', 'safety', 'all']))
@click.option('--config', help='Training configuration file')
@click.option('--data-dir', default='data/processed', help='Processed data directory')
@click.option('--output-dir', default='models/adapters', help='Output directory for trained adapters')
@click.pass_context
def train(ctx, module, config, data_dir, output_dir):
"""Train LoRA adapters."""
try:
click.echo(f"Training {module} adapter...")
click.echo(f"Data directory: {data_dir}")
click.echo(f"Output directory: {output_dir}")
# This would call the actual training script
click.echo("\n[TRAINING FEATURE IN DEVELOPMENT]")
click.echo("Training pipeline will be available in the next release.")
click.echo("Configure your training in configs/model_config.py")
except Exception as e:
click.echo(f"Error during training: {str(e)}", err=True)
if ctx.obj['verbose']:
import traceback
traceback.print_exc()
@cli.command()
def status():
"""Show system status and health check."""
click.echo("Cyber-LLM System Status")
click.echo("=" * 25)
# Check components
components = {
'ReconAgent': True,
'SafetyAgent': True,
'ExplainabilityAgent': False, # Not implemented yet
'C2Agent': False, # Not implemented yet
'PostExploitAgent': False, # Not implemented yet
'Orchestrator': False, # Not implemented yet
'Training Pipeline': False, # Not implemented yet
}
for component, status in components.items():
status_icon = "✓" if status else "✗"
status_text = "Available" if status else "In Development"
click.echo(f" {status_icon} {component}: {status_text}")
# Check directories
click.echo("\nDirectory Structure:")
important_dirs = [
'src/agents',
'src/training',
'src/evaluation',
'configs',
'scripts',
'data'
]
for dir_path in important_dirs:
path = Path(dir_path)
status_icon = "✓" if path.exists() else "✗"
click.echo(f" {status_icon} {dir_path}")
if __name__ == '__main__':
cli()
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