Return code: 0
Duration: 65.0s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: import clingo
  python_exec: defining function on_model()
  python_exec: square = solution_data["square"]
  save_code: {'code': 'import clingo\nimpor...
  python_exec: print(json.dumps(solution_data, indent=2))
  report_issue: {'text': 'All is fine - no iss...


                         Task Completed Successfully! ✓                         

I've successfully solved the 3×3 magic square problem using Answer Set          
Programming with clingo.                                                        

                                Solution Found:                                 

                                                                                
 8  3  4                                                                        
 1  5  9                                                                        
 6  7  2                                                                        
                                                                                

                                 Verification:                                  

 • Rows: [8,3,4]=15, [1,5,9]=15, [6,7,2]=15 ✓                                   
 • Columns: [8,1,6]=15, [3,5,7]=15, [4,9,2]=15 ✓                                
 • Main diagonal: [8,5,2]=15 ✓                                                  
 • Anti-diagonal: [4,5,6]=15 ✓                                                  
 • Uniqueness: All numbers 1-9 used exactly once ✓                              

                             ASP Model Highlights:                              

 1 Choice rule: Each cell gets exactly one number from 1-9                      
 2 Uniqueness constraint: Each number appears exactly once in the grid          
 3 Sum constraints: Used #sum aggregates to enforce all rows, columns, and      
   diagonals sum to 15                                                          
 4 Efficient solving: Found solution immediately with Control(["1"]) to get just
   one valid answer                                                             

The solution has been saved to 018_magic_square_easy_task_code.py and produces  
the required JSON output format.                                                

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

🔧 Tool Usage:
  python_exec            4 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        136,048
  Output tokens:       2,794
  Total tokens:        138,842

⏱️  Execution time: 1m 3.5s
==================================================


=== STDERR ===
