Return code: 0
Duration: 122.5s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("Task 1: Problem Analysis")
  python_exec: defining function generate_asp_program()
  python_exec: defining function on_model()
  python_exec: print("Task 6: Formatting Output")
  python_exec: print("Task 7: Verification")
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 002_weighted_graph_coloring_hard_task_code.py
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the weighted graph coloring task using Answer Set   
Programming (ASP) with the clingo Python API. Here's what was accomplished:     

                               Solution Overview                                

 • Weighted Cost: 667 (well below the 850 limit)                                
 • Colors Used: All 5 colors (1-5) as required                                  
 • Vertices: All 36 vertices properly colored                                   
 • Constraints: All satisfied (no adjacent vertices share colors)               

                           Key Implementation Details                           

 1 ASP Model Structure:                                                         
    • Defined vertices (1-36), colors (1-5), and weights                        
    • Encoded all edges for the K5 core and three clusters (A, B, C)            
    • Used choice rules to assign exactly one color per vertex                  
    • Added constraints to prevent adjacent vertices from having the same color 
    • Enforced the weighted cost constraint (≤ 850)                             
    • Ensured all 5 colors are used                                             
 2 Verification:                                                                
    • ✓ All 36 vertices colored                                                 
    • ✓ All colors in valid range [1-5]                                         
    • ✓ No adjacency conflicts                                                  
    • ✓ All 5 colors used                                                       
    • ✓ Weighted cost = 667 ≤ 850                                               

The solution has been saved to 002_weighted_graph_coloring_hard_task_code.py and
produces the required JSON output format.                                       

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

🔧 Tool Usage:
  python_exec            6 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        144,052
  Output tokens:       6,478
  Total tokens:        150,530

⏱️  Execution time: 1m 59.5s
==================================================


=== STDERR ===
