Return code: 0
Duration: 90.5s

=== 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: prefilled = [
  python_exec: defining function on_model()
  python_exec: defining function verify_solution()
  python_exec: output = {
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed succe...


                                Task Complete! ✓                                

I've successfully solved the constrained Latin square puzzle using Answer Set   
Programming with clingo.                                                        

                               Solution Summary:                                

The solution fills the 8x8 grid satisfying all constraints:                     

                                                                                
 [1, 5, 6, 2, 4, 7, 3, 8]                                                       
 [4, 6, 1, 8, 3, 5, 2, 7]                                                       
 [3, 8, 4, 7, 2, 6, 1, 5]                                                       
 [2, 7, 3, 5, 1, 8, 4, 6]                                                       
 [6, 2, 8, 1, 7, 3, 5, 4]                                                       
 [5, 1, 7, 3, 6, 4, 8, 2]                                                       
 [7, 3, 5, 4, 8, 2, 6, 1]                                                       
 [8, 4, 2, 6, 5, 1, 7, 3]                                                       
                                                                                

                             Verified Constraints:                              

✓ Latin Square: Each row and column contains 1-8 exactly once                   
✓ Adjacent Pairs: All horizontal neighbors sum > 5                              
✓ Quadrant Parity: Top-left has 8 evens, bottom-right has 8 odds                
✓ Partial Sums: Row 1 first 4 = 14, Column 1 first 4 = 10                       
✓ Pre-filled Cells: All 10 pre-filled values preserved                          

The ASP model efficiently encoded the problem using choice rules for cell       
assignment and integrity constraints for all requirements. The solution was     
found quickly and verified to satisfy all constraints.                          

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

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

💬 Token Consumption:
  Input tokens:        167,751
  Output tokens:       4,693
  Total tokens:        172,444

⏱️  Execution time: 1m 29.4s
==================================================


=== STDERR ===
