Return code: 0
Duration: 104.7s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function generate_asp_program()
  python_exec: defining function solve_scheduling()
  python_exec: defining function verify_solution()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the meeting scheduling task using Answer Set        
Programming (ASP) with the clingo API. Here's what was accomplished:            

                               Solution Overview                                

The solution schedules 20 meetings across:                                      

 • 4 rooms (r1, r2, r3, r4) with different equipment                            
 • 5 days with 4 time slots each (20 total slots)                               
 • 20 people with specific meeting attendance requirements                      

                                  Key Features                                  

 1 ASP Model Design:                                                            
    • Facts for rooms, days, slots, meetings, people, equipment, and attendees  
    • Choice rule: Each meeting assigned to exactly one (day, slot, room)       
    • Constraints for person conflicts, room conflicts, and equipment           
      requirements                                                              
 2 Constraints Enforced:                                                        
    • ✅ Each meeting scheduled exactly once                                    
    • ✅ No person double-booked (can't attend two meetings at same time)       
    • ✅ No room double-booked (one meeting per room per time slot)             
    • ✅ Equipment requirements met (rooms have all needed equipment)           
 3 Performance: Solution found in under 1 second                                
 4 Output: Valid JSON with all 20 meetings properly scheduled                   

The solution has been saved to 008_meeting_scheduling_hard_task_code.py and is  
ready to use!                                                                   

==================================================
📊 Execution Statistics
==================================================

🔧 Tool Usage:
  python_exec            3 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        102,797
  Output tokens:       7,098
  Total tokens:        109,895

⏱️  Execution time: 1m 43.5s
==================================================


=== STDERR ===
