Return code: 0
Duration: 75.8s

=== 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: optimal_moves = [move for move in all_moves if mov...
  python_exec: print("Verification:")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the Nim game task using Answer Set Programming with 
clingo. Here's what was accomplished:                                           

                               Solution Overview:                               

 • Initial Position: [3, 4, 5] stones with nim-sum = 2 (winning position)       
 • Optimal Move Found: Remove 2 stones from pile 1 → [1, 4, 5] with nim-sum = 0 
 • Result: Exactly 1 optimal move identified (as expected)                      

                                 ASP Approach:                                  

 1 Facts: Defined the three piles with their stone counts                       
 2 Choice Rules: Generated all valid moves (removing 1 to N stones from each    
   pile)                                                                        
 3 State Calculation: Computed resulting pile states after each move            
 4 Optimization: Identified moves that force nim-sum to 0 (optimal strategy)    

The solution correctly applies game theory: from a winning position (nim-sum ≠  
0), the optimal strategy is to make a move that results in nim-sum = 0, forcing 
the opponent into a losing position where any move they make will give us       
another winning position.                                                       

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

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

💬 Token Consumption:
  Input tokens:        159,938
  Output tokens:       3,460
  Total tokens:        163,398

⏱️  Execution time: 1m 14.7s
==================================================


=== STDERR ===
