Return code: 0
Duration: 72.4s

=== 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: difficulty_progression = [puzzle_data[pid]["diffic...
  python_exec: print("=== Solution Verification ===\n")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed succe...


                                Task Complete! ✓                                

I've successfully solved the escape room puzzle ordering problem using Answer   
Set Programming with clingo.                                                    

Solution Found: [1, 2, 4, 3, 5, 6]                                              

Key Results:                                                                    

 • Puzzle Order: 1 → 2 → 4 → 3 → 5 → 6                                          
 • Difficulty Progression: Easy → Easy → Medium → Medium → Hard → Hard          
 • All Dependencies Satisfied: ✓                                                
 • Valid Topological Ordering: ✓                                                

Verification:                                                                   

 • Puzzle 1 (no prerequisites) comes first                                      
 • Puzzle 2 (needs 1) comes after 1                                             
 • Puzzle 4 (needs 1) comes after 1                                             
 • Puzzle 3 (needs 2 and 4) comes after both 2 and 4                            
 • Puzzle 5 (needs 3) comes after 3                                             
 • Puzzle 6 (needs 5) comes after 5                                             

The ASP model efficiently encodes the topological sorting problem with          
dependency constraints, ensuring a valid and logical progression through the    
escape room.                                                                    

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

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

💬 Token Consumption:
  Input tokens:        159,131
  Output tokens:       3,397
  Total tokens:        162,528

⏱️  Execution time: 1m 11.3s
==================================================


=== STDERR ===
