Return code: 0
Duration: 67.0s

=== 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 on_model()
  python_exec: print("Verification of the solution:")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the university course scheduling task using Answer  
Set Programming (ASP) with the clingo Python API.                               

Solution Overview:                                                              

The ASP model schedules all 5 courses into 3 rooms across 4 time slots while    
satisfying all constraints:                                                     

 1 Each course assigned exactly once - Using choice rule: 1 { assigned(C, R, T) 
   : ... } 1                                                                    
 2 No room conflicts - Constraint prevents two courses in same room at same time
 3 No teacher conflicts - Constraint prevents same teacher teaching multiple    
   courses simultaneously                                                       
 4 Room capacity respected - Ensures student count doesn't exceed room capacity 
 5 Teacher availability - Only schedules courses when teacher is available      

Valid Solution Found:                                                           

 • Course 0 (Math): Room 1, Slot 2                                              
 • Course 1 (Physics): Room 1, Slot 3                                           
 • Course 2 (Chemistry): Room 0, Slot 3                                         
 • Course 3 (Biology): Room 2, Slot 2                                           
 • Course 4 (Computer Science): Room 0, Slot 0                                  

All constraints verified and the solution is output in the required JSON format.

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

🔧 Tool Usage:
  python_exec            3 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        121,993
  Output tokens:       3,245
  Total tokens:        125,238

⏱️  Execution time: 1m 5.9s
==================================================


=== STDERR ===
