Return code: 0
Duration: 113.1s

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


                                    Summary                                     

I've successfully solved the logic grid puzzle using Answer Set Programming with
clingo. The solution found is:                                                  

                                                                                
 {                                                                              
   "assignments": [                                                             
     {                                                                          
       "person": "Evelyn",                                                      
       "location": "Studio",                                                    
       "hobby": "Baking",                                                       
       "snack": "Yogurt",                                                       
       "project": "E"                                                           
     },                                                                         
     {                                                                          
       "person": "Frank",                                                       
       "location": "Cafe",                                                      
       "hobby": "Painting",                                                     
       "snack": "Apple",                                                        
       "project": "A"                                                           
     },                                                                         
     {                                                                          
       "person": "Grace",                                                       
       "location": "Park",                                                      
       "hobby": "Gardening",                                                    
       "snack": "Nuts",                                                         
       "project": "C"                                                           
     },                                                                         
     {                                                                          
       "person": "Henry",                                                       
       "location": "Library",                                                   
       "hobby": "Coding",                                                       
       "snack": "Muffin",                                                       
       "project": "D"                                                           
     },                                                                         
     {                                                                          
       "person": "Iris",                                                        
       "location": "Museum",                                                    
       "hobby": "Sculpting",                                                    
       "snack": "Tea",                                                          
       "project": "B"                                                           
     }                                                                          
   ]                                                                            
 }                                                                              
                                                                                

All 11 constraints are satisfied, including the critical compatibility score sum
of exactly 15. The ASP model efficiently encodes the puzzle constraints and     
finds a valid solution quickly.                                                 

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

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

💬 Token Consumption:
  Input tokens:        156,521
  Output tokens:       6,969
  Total tokens:        163,490

⏱️  Execution time: 1m 51.4s
==================================================


=== STDERR ===
