Return code: 0
Duration: 100.3s

=== 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: print("Verifying solution against constraints:")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the expanded Zebra Puzzle task using Answer Set     
Programming with the clingo Python API.                                         

Solution Found:                                                                 

 • The Dutch person owns the Lizard (living in suite 1)                         
 • All 18 constraints are satisfied                                             
 • Complete solution with all 8 suites and their attributes has been generated  

Key Features of the Implementation:                                             

 1 Domain modeling: Defined all 7 attribute types with 8 values each            
 2 Choice rules: Each suite gets exactly one of each attribute, and each        
   attribute value appears exactly once                                         
 3 Constraint encoding: All 18 puzzle constraints encoded as ASP integrity      
   constraints                                                                  
 4 Spatial relationships: Helper predicates for adjacency and left-of           
   relationships                                                                
 5 Solution extraction: Proper parsing and formatting of the answer set into    
   JSON                                                                         

The code has been saved and is ready to use. The solution completes in well     
under 10 seconds and produces the correct output format.                        

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

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

💬 Token Consumption:
  Input tokens:        101,195
  Output tokens:       6,587
  Total tokens:        107,782

⏱️  Execution time: 1m 39.1s
==================================================


=== STDERR ===
