GEP MCP Motor

#!/usr/bin/env python3 """ GEP MCP Motor Control - Basic Usage Example Author: Gary W. Floyd / Lumiea Systems Research Division Paper: "Entropy-Guided Motor Control for Autonomous Tool Execution" """ from gep_mcp_motor import GEPMotorNeuron import sys def main(): # Initialize motor neuron # Connection string from environment or config file db_conn = "postgresql://nexus_mcp:password@localhost/gep_mcp_v2" print("Initializing GEP Motor Neuron...") motor = GEPMotorNeuron(db_conn_string=db_conn) # Example 1: Check system health print("\n=== Example 1: System Health Check ===") result = motor.execute_intent( session_id="example_session_001", operator_id="gary", intent="check system health", input_data={"verbose": True} ) print(f"Action: {result['action']}") print(f"Outcome: {result['outcome']}") print(f"Tool: {result['tool_name']}") print(f"GEP Metrics:") print(f" Entropy Before: {result['gep_metrics']['entropy_before']:.3f}") print(f" Entropy After: {result['gep_metrics']['entropy_after']:.3f}") print(f" Delta S: {result['gep_metrics']['delta_s']:.3f}") print(f" Alignment: {result['gep_metrics']['alignment']:.3f}") if result['outcome'] == 'ok': print(f"\nOutput: {result['output']}") # Example 2: View logs print("\n=== Example 2: View System Logs ===") result = motor.execute_intent( session_id="example_session_001", operator_id="gary", intent="view system logs", input_data={"lines": 20, "priority": "info"} ) print(f"Action: {result['action']}") print(f"Outcome: {result['outcome']}") print(f"Entropy: {result['gep_metrics']['entropy_after']:.3f}") # Example 3: Get tool statistics print("\n=== Tool Performance Statistics ===") stats = motor.get_tool_stats() for stat in stats: print(f"\n{stat['name']}:") print(f" Uses: {stat['uses_total']}") print(f" Success Rate: {stat['success_rate']:.2%}") print(f" Current Entropy: {stat['current_entropy']:.3f}") print(f" Avg Latency: {stat['avg_latency_ms']:.0f}ms") # Example 4: View recent events print("\n=== Recent Events ===") events = motor.get_recent_events(limit=5) for event in events: print(f"\n{event['ts']}: {event['tool_name']}") print(f" Action: {event['action']}, Outcome: {event['outcome']}") print(f" Entropy: {event['entropy_before']:.3f} → {event['entropy_after']:.3f}") print(f" Delta S: {event['delta_s']:.3f}") motor.close() print("\n=== Complete ===") if __name__ == '__main__': main()