Return code: 0
Duration: 85.0s

=== 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: asp_program = """
  python_exec: defining function on_model()
  python_exec: defining function compute_wins()
  python_exec: print("Verification:")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the nontransitive dice task using Answer Set        
Programming with clingo. The solution finds a valid configuration of four dice  
that satisfy all the complex constraints:                                       

                                Solution Found:                                 

 • Die A: [1, 4, 5, 5]                                                          
 • Die B: [3, 4, 4, 4]                                                          
 • Die C: [2, 3, 3, 7]                                                          
 • Die D: [1, 2, 6, 6]                                                          

                                 Key Features:                                  

 1 Nontransitive Cycle: A→B→C→D→A with all win counts > 8                       
 2 Equal Sums: All dice sum to 15                                               
 3 Unique Value Sets: Each die uses a distinct set of values                    
 4 Sorted Output: Face values are sorted in non-decreasing order                

The ASP model efficiently encodes the problem using choice rules for value      
assignment, aggregate counting for win calculations, and constraints for        
enforcing the nontransitive cycle, equal sums, and unique value sets. The       
solution was found quickly and all constraints were verified.                   

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

🔧 Tool Usage:
  python_exec            5 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        163,080
  Output tokens:       4,153
  Total tokens:        167,233

⏱️  Execution time: 1m 23.7s
==================================================


=== STDERR ===
