Return code: 0
Duration: 48.8s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function on_model()
  python_exec: print("Solution verification:")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': "All is fine - no iss...


                                    Summary                                     

I've successfully solved the knights and knaves logic puzzle using Answer Set   
Programming with clingo.                                                        

Solution:                                                                       

                                                                                
 {                                                                              
   "alice": "knave",                                                            
   "bob": "knight",                                                             
   "charlie": "knave"                                                           
 }                                                                              
                                                                                

Verification:                                                                   

 • Alice (knave) says "Bob is a knave" → FALSE (Bob is actually a knight) ✓     
 • Bob (knight) says "Alice and Charlie are of the same type" → TRUE (both are  
   knaves) ✓                                                                    
 • Charlie (knave) says "Alice is a knight" → FALSE (Alice is actually a knave) 
   ✓                                                                            

The ASP model correctly encodes the logical constraints where knights always    
tell the truth and knaves always lie, finding the unique consistent assignment. 

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

🔧 Tool Usage:
  python_exec            2 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        96,617
  Output tokens:       2,176
  Total tokens:        98,793

⏱️  Execution time: 47.7s
==================================================


=== STDERR ===
