Return code: 0
Duration: 47.7s

=== 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: Alice=knave, Bob=knight, Charlie=...
  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. The solution is:                                                   

                                                                                
 {                                                                              
   "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 elegantly captures the logical constraints by defining auxiliary  
predicates for each statement's truth value and then constraining knights to    
make true statements and knaves to make false statements. The solver finds the  
unique consistent assignment instantly.                                         

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

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

💬 Token Consumption:
  Input tokens:        94,862
  Output tokens:       2,116
  Total tokens:        96,978

⏱️  Execution time: 46.2s
==================================================


=== STDERR ===
