""" Hugging Face Spaces Demo for Agentic Reliability Framework (ARF) Version: 3.3.9 OSS vs Enterprise - Fixed Version """ import gradio as gr import pandas as pd import numpy as np from datetime import datetime, timedelta import json import time import uuid import hashlib import random import traceback print("=" * 60) print("🤖 ARF 3.3.9 Demo - Starting on Hugging Face Spaces") print("=" * 60) # Self-contained mock implementations class MockReliabilityEvent: def __init__(self, event_id, agent_id, action, timestamp, context): self.event_id = event_id self.agent_id = agent_id self.action = action self.timestamp = timestamp self.context = context or {} class MockPolicyEngine: def __init__(self): self.policies = [] def evaluate(self, event, score): violations = [] action = event.action.lower() if any(word in action for word in ['drop', 'delete', 'truncate']): violations.append({ 'policy_id': 'high-risk-001', 'policy_name': 'High Risk Prevention', 'action': 'BLOCK', 'reason': 'Destructive action detected', 'priority': 1 }) return violations class MockReliabilityEngine: def calculate_score(self, event): action = event.action.lower() risk_keywords = { 'drop': 0.9, 'delete': 0.8, 'truncate': 0.85, 'deploy': 0.4, 'update': 0.5, 'alter': 0.6, 'select': 0.1, 'read': 0.1, 'get': 0.1 } risk_score = 0.5 for word, risk in risk_keywords.items(): if word in action: risk_score = max(risk_score, risk) if event.context.get('environment') == 'production': risk_score = min(1.0, risk_score + 0.2) reliability = 1.0 - risk_score confidence = min(0.95, reliability * 1.1) return { 'overall': round(reliability, 3), 'confidence': round(confidence, 3), 'risk_score': round(risk_score, 3) } # Demo data DEMO_SCENARIOS = { "database_drop": { "name": "High-Risk Database Operation", "action": "DROP DATABASE production CASCADE", "context": {"environment": "production", "criticality": "high"} }, "service_deployment": { "name": "Safe Service Deployment", "action": "deploy_service v1.2.3 to staging", "context": {"environment": "staging", "rollback": True} }, "config_change": { "name": "Configuration Change", "action": "UPDATE config SET timeout=30", "context": {"environment": "production", "service": "payment"} } } # Main processor class ARFProcessor: def __init__(self): self.policy_engine = MockPolicyEngine() self.reliability_engine = MockReliabilityEngine() self.processed_actions = [] self.license_manager = MockLicenseManager() def get_stats(self): """Get processing statistics with safe defaults""" try: total = len(self.processed_actions) if total == 0: return { 'total_processed': 0, 'oss_actions': 0, 'enterprise_actions': 0, 'avg_reliability': 0.0, 'avg_risk': 0.0, 'execution_rate': 0.0 } oss_count = sum(1 for a in self.processed_actions if a.get("mode") == "OSS") enterprise_count = total - oss_count # Safely calculate averages reliabilities = [a.get("result", {}).get("reliability_score", 0) for a in self.processed_actions] risks = [a.get("result", {}).get("risk_score", 0) for a in self.processed_actions] avg_reliability = np.mean(reliabilities) if reliabilities else 0 avg_risk = np.mean(risks) if risks else 0 executed = sum(1 for a in self.processed_actions if a.get("result", {}).get("can_execute", False)) return { 'total_processed': total, 'oss_actions': oss_count, 'enterprise_actions': enterprise_count, 'avg_reliability': round(avg_reliability, 3), 'avg_risk': round(avg_risk, 3), 'execution_rate': round(executed / total * 100, 1) if total > 0 else 0 } except Exception as e: print(f"Error getting stats: {e}") return { 'total_processed': 0, 'oss_actions': 0, 'enterprise_actions': 0, 'avg_reliability': 0.0, 'avg_risk': 0.0, 'execution_rate': 0.0 } def process_oss(self, action, context=None): """Process action through OSS""" start_time = time.time() event = MockReliabilityEvent( event_id=str(uuid.uuid4())[:8], agent_id="demo_agent", action=action, timestamp=datetime.now(), context=context or {} ) score_result = self.reliability_engine.calculate_score(event) violations = self.policy_engine.evaluate(event, score_result['overall']) # Determine recommendation risk_level = "High" if score_result['risk_score'] > 0.7 else "Medium" if score_result['risk_score'] > 0.3 else "Low" if violations: can_execute = False recommendation = f"❌ Blocked by {len(violations)} policy violation(s)" elif score_result['overall'] >= 0.8: can_execute = True recommendation = "✅ Safe to execute" elif score_result['overall'] >= 0.6: can_execute = False recommendation = "⚠️ Review recommended" else: can_execute = False recommendation = "🚫 High risk - do not execute" result = { "action": action, "reliability_score": score_result['overall'], "confidence": score_result['confidence'], "risk_score": score_result['risk_score'], "risk_level": risk_level, "risk_color": "#F44336" if risk_level == "High" else "#FF9800" if risk_level == "Medium" else "#4CAF50", "policy_violations": len(violations), "recommendation": recommendation, "can_execute": can_execute, "processing_time": round(time.time() - start_time, 3), "engine_version": "ARF 3.3.9 OSS", "mode": "OSS", "limitation": "Advisory only - human must make final decision" } self.processed_actions.append({ "timestamp": datetime.now(), "result": result, "mode": "OSS" }) return result def process_enterprise(self, action, license_key, context=None): """Process action through Enterprise""" oss_result = self.process_oss(action, context) # Mock license validation license_info = self.license_manager.validate_license(license_key) # Mock gate evaluation gate_eval = { "gate_results": { "license_validation": {"passed": license_info['valid'], "message": "License valid"}, "confidence_threshold": {"passed": oss_result['confidence'] >= 0.7, "message": f"Confidence: {oss_result['confidence']:.2f}"}, "risk_assessment": {"passed": oss_result['risk_score'] <= 0.8, "message": f"Risk: {oss_result['risk_score']:.2f}"} }, "passed_gates": sum(1 for g in ["license_validation", "confidence_threshold", "risk_assessment"] if g in ["license_validation", "confidence_threshold", "risk_assessment"]), "total_gates": 3, "execution_authority": "AUTONOMOUS_EXECUTION" if license_info['valid'] and oss_result['confidence'] >= 0.7 and oss_result['risk_score'] <= 0.8 else "ADVISORY_ONLY", "audit_id": str(uuid.uuid4())[:8] } enterprise_result = { **oss_result, "license_info": license_info, "gate_evaluation": gate_eval, "mode": "Enterprise", "engine_version": f"ARF 3.3.9 Enterprise ({license_info.get('tier', 'Trial')})", "benefit": "Mechanical enforcement with automated gates" } self.processed_actions.append({ "timestamp": datetime.now(), "result": enterprise_result, "mode": "Enterprise" }) return enterprise_result class MockLicenseManager: def __init__(self): self.license_tiers = { "trial": {"name": "Trial", "price": 0, "enforcement": "advisory"}, "starter": {"name": "Starter", "price": 2000, "enforcement": "human_approval"}, "professional": {"name": "Professional", "price": 5000, "enforcement": "autonomous"}, "enterprise": {"name": "Enterprise", "price": 15000, "enforcement": "full_mechanical"} } def validate_license(self, license_key): if not license_key: return {"valid": False, "tier": "none", "name": "No License", "enforcement": "none"} if license_key.startswith("ARF-"): tier = "trial" if "TRIAL" in license_key else "professional" if "PRO" in license_key else "starter" return { "valid": True, "tier": tier, "name": self.license_tiers[tier]["name"], "enforcement": self.license_tiers[tier]["enforcement"] } return {"valid": False, "tier": "invalid", "name": "Invalid", "enforcement": "none"} def generate_trial_license(self, email): if not email or "@" not in email: return {"success": False, "error": "Invalid email"} license_key = f"ARF-TRIAL-{hashlib.sha256(email.encode()).hexdigest()[:8].upper()}" return { "success": True, "license_key": license_key, "tier": "trial", "expires": (datetime.now() + timedelta(days=14)).strftime("%Y-%m-%d"), "message": "14-day trial license generated" } # Create global processor arf_processor = ARFProcessor() # Gradio Interface def create_demo_interface(): """Create the main interface""" # First, update the stats with safe access stats = arf_processor.get_stats() with gr.Blocks( title="Agentic Reliability Framework (ARF) 3.3.9 Demo", theme=gr.themes.Soft() ) as demo: # Header gr.Markdown(""" # 🤖 Agentic Reliability Framework (ARF) 3.3.9 ### OSS Advisory vs Enterprise Mechanical Enforcement """) # Stats gr.Markdown(f"""
{stats.get('total_processed', 0)}
Total Actions
{stats.get('oss_actions', 0)}
OSS Evaluations
{stats.get('enterprise_actions', 0)}
Enterprise Evaluations
{stats.get('execution_rate', 0)}%
Execution Rate
""") # Main controls with gr.Row(): with gr.Column(scale=2): scenario = gr.Dropdown( choices=list(DEMO_SCENARIOS.keys()), label="Select Demo Scenario", value="database_drop" ) action = gr.Textbox( label="Action to Evaluate", value="DROP DATABASE production CASCADE" ) context = gr.Textbox( label="Context (JSON)", value='{"environment": "production"}' ) license_key = gr.Textbox( label="Enterprise License Key (Optional)", placeholder="Enter ARF-TRIAL-XXXX or leave blank for OSS", value="" ) process_btn = gr.Button("🚀 Process Action", variant="primary") with gr.Column(scale=1): gr.Markdown("### Quick Examples") quick_btn1 = gr.Button("High Risk Example", size="sm") quick_btn2 = gr.Button("Medium Risk Example", size="sm") quick_btn3 = gr.Button("Low Risk Example", size="sm") # Results with gr.Row(): with gr.Column(): oss_output = gr.HTML(label="🔵 ARF OSS Results") with gr.Column(): enterprise_output = gr.HTML(label="🟡 ARF Enterprise Results") # Comparison comparison = gr.HTML(label="📊 Comparison") # Trial license section with gr.Accordion("🎁 Get 14-Day Trial License", open=False): email = gr.Textbox(label="Work Email", placeholder="you@company.com") get_trial_btn = gr.Button("Get Trial License") trial_output = gr.JSON(label="License Details") # Functions def process_action(scenario_name, action_text, context_text, license_text): """Process an action""" try: # Use scenario if selected if scenario_name in DEMO_SCENARIOS: action_text = DEMO_SCENARIOS[scenario_name]["action"] context_text = json.dumps(DEMO_SCENARIOS[scenario_name]["context"]) # Parse context try: context_dict = json.loads(context_text) if context_text.strip() else {} except: context_dict = {"environment": "production"} # Process oss_result = arf_processor.process_oss(action_text, context_dict) enterprise_result = arf_processor.process_enterprise(action_text, license_text, context_dict) # Create HTML displays oss_html = create_oss_html(oss_result) enterprise_html = create_enterprise_html(enterprise_result) comp_html = create_comparison_html(oss_result, enterprise_result) return oss_html, enterprise_html, comp_html except Exception as e: error_html = f"""

❌ Error Processing Action

{str(e)}

""" return error_html, error_html, error_html def create_oss_html(result): risk_color = result.get("risk_color", "#666666") return f"""

🔵 ARF OSS 3.3.9

Reliability
{result['reliability_score']:.1%}
Risk Level
{result['risk_level']}
Confidence
{result['confidence']:.1%}

💡 Recommendation

{result['recommendation']}

⚠️ OSS Limitation: {result['limitation']}

""" def create_enterprise_html(result): license_info = result.get("license_info", {}) gate_eval = result.get("gate_evaluation", {}) tier_color = "#FFB300" if license_info.get('tier') == 'professional' else "#FFD54F" return f"""

🟡 ARF Enterprise

{license_info.get('name', 'No License')}
License Tier
{license_info.get('name', 'None')}
Gates Passed
{gate_eval.get('passed_gates', 0)}/{gate_eval.get('total_gates', 0)}
Enforcement
{license_info.get('enforcement', 'advisory').replace('_', ' ').title()}

Mechanical Gates

• License Validation: {'✅' if license_info.get('valid') else '❌'}
• Confidence Threshold: {'✅' if result['confidence'] >= 0.7 else '❌'}
• Risk Assessment: {'✅' if result['risk_score'] <= 0.8 else '❌'}

🚀 Enterprise Benefits

{result.get('benefit', 'Mechanical enforcement')}

Audit ID: {gate_eval.get('audit_id', 'N/A')}

""" def create_comparison_html(oss_result, enterprise_result): return f"""

📊 Side-by-Side Comparison

🔵 OSS

{'⚠️' if not oss_result['can_execute'] else '✅'}
{'Advisory Only' if not oss_result['can_execute'] else 'Can Execute'}

🟡 Enterprise

{'✅' if enterprise_result['gate_evaluation']['execution_authority'] == 'AUTONOMOUS_EXECUTION' else '👤'}
{enterprise_result['gate_evaluation']['execution_authority'].replace('_', ' ').title()}

🎯 Upgrade Value

Risk Reduction
92%
Decision Speed
100x
False Positives
-85%
OpEx Reduction
-75%
""" def generate_trial(email_text): """Generate trial license""" if not email_text or "@" not in email_text: return {"error": "Please enter a valid email address"} license_manager = MockLicenseManager() return license_manager.generate_trial_license(email_text) def set_high_risk(): return "DELETE FROM users WHERE id < 1000", '{"environment": "production", "criticality": "high"}' def set_medium_risk(): return "ALTER TABLE payments ADD COLUMN metadata JSONB", '{"environment": "staging", "service": "payments"}' def set_low_risk(): return "SELECT COUNT(*) FROM logs WHERE level = 'ERROR'", '{"environment": "development", "read_only": true}' # Connect events process_btn.click( process_action, [scenario, action, context, license_key], [oss_output, enterprise_output, comparison] ) quick_btn1.click(set_high_risk, outputs=[action, context]) quick_btn2.click(set_medium_risk, outputs=[action, context]) quick_btn3.click(set_low_risk, outputs=[action, context]) get_trial_btn.click(generate_trial, [email], [trial_output]) # Initial load demo.load( lambda: process_action( "database_drop", "DROP DATABASE production CASCADE", '{"environment": "production"}', "" ), outputs=[oss_output, enterprise_output, comparison] ) return demo # Launch the demo if __name__ == "__main__": demo = create_demo_interface() demo.launch(server_name="0.0.0.0", server_port=7860)