Return code: 0
Duration: 136.4s

=== 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: defining function generate_asp_program()
  python_exec: defining function on_model()
  python_exec: defining function on_model()
  python_exec: if not solution_data:
  python_exec: print("=== VERIFICATION ===\n")
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 030_team_formation_hard_task_code.py
  report_issue: {'text': 'All is fine - no iss...

Perfect! I have successfully completed the team formation task using Answer Set 
Programming (ASP) with the clingo API.                                          


                                    Summary                                     

The solution forms 3 optimal teams with a total synergy score of 11 (the        
expected optimal):                                                              

 1 Team 1 (Gamma): Led by Chloe, includes Ben, Jack, and Leo - Synergy: 3       
 2 Team 2 (Alpha): Led by David, includes Alex, Ivy, and Kate - Synergy: 4      
 3 Team 3 (Beta): Led by Harry, includes Eva, Frank, and Grace - Synergy: 4     

All constraints are satisfied:                                                  

 • ✓ Each team has exactly 4 members                                            
 • ✓ Each person assigned to exactly one team                                   
 • ✓ Each team has one senior leader with mutually exclusive primary skills     
 • ✓ No incompatible pairs on the same team                                     
 • ✓ Project requirements met (Alpha has Security, Beta has Cloud)              
 • ✓ Maximum synergy achieved (11 points)                                       

The ASP model efficiently encodes the problem using choice rules, integrity     
constraints, and optimization directives to find the optimal solution.          

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

🔧 Tool Usage:
  python_exec            7 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        207,239
  Output tokens:       7,748
  Total tokens:        214,987

⏱️  Execution time: 2m 15.4s
==================================================


=== STDERR ===
