Return code: 0
Duration: 70.5s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function generate_asp_program()
  python_exec: defining function solve_team_formation()
  python_exec: defining function verify_team_skills()
  python_exec: defining function format_solution_as_json()
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 030_team_formation_easy_task_code.py
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the team formation task using Answer Set Programming
(ASP) with the clingo Python API.                                               

Solution Overview:                                                              

The ASP model creates two balanced teams:                                       

 • Team 1: Eve, Frank, Grace, Henry (optimal - each person covers exactly one   
   required skill)                                                              
 • Team 2: Alice, Bob, Carol, Dave (valid - all required skills covered)        

Key Implementation Details:                                                     

 1 Facts: Defined all 8 people, their skills, required skills, and teams        
 2 Choice Rule: Each person assigned to exactly one team                        
 3 Constraints:                                                                 
    • Each team has exactly 4 people                                            
    • Each team has at least one person with each required skill                
 4 Optimization: Minimizes skill overlap by penalizing teams where multiple     
   people share the same required skill                                         

The solution satisfies all constraints and produces valid JSON output as        
required.                                                                       

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

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

💬 Token Consumption:
  Input tokens:        158,822
  Output tokens:       3,284
  Total tokens:        162,106

⏱️  Execution time: 1m 9.5s
==================================================


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