Return code: 0
Duration: 72.8s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: import clingo
  python_exec: asp_program = """
  python_exec: defining function on_model()
  python_exec: defining function on_model()
  python_exec: clique = [0, 1, 2, 3]
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the maximum clique finding task using Answer Set    
Programming with clingo.                                                        

Solution Overview:                                                              

The ASP model uses:                                                             

 • Facts: Vertices and edges in canonical form (u < v)                          
 • Choice rule: { in_clique(V) } :- vertex(V) to select vertices                
 • Constraint: :- in_clique(U), in_clique(V), U < V, not edge(U, V) to ensure   
   all pairs are connected                                                      
 • Optimization: #maximize { 1,V : in_clique(V) } to find the largest clique    

Result:                                                                         

 • Maximum clique: {0, 1, 2, 3}                                                 
 • Clique size: 4 (matches expected optimal)                                    
 • Edges: All 6 required edges verified: (0,1), (0,2), (0,3), (1,2), (1,3),     
   (2,3)                                                                        

The solution has been saved to 022_clique_finding_easy_task_code.py and outputs 
the result in the required JSON format.                                         

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

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

💬 Token Consumption:
  Input tokens:        159,205
  Output tokens:       3,573
  Total tokens:        162,778

⏱️  Execution time: 1m 11.1s
==================================================


=== STDERR ===
#models not 0: optimality of last model not guaranteed.
