Return code: 0
Duration: 128.2s

=== 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 1-2: Analysis and design complete")
  python_exec: defining function solve_meeting_schedule()
  python_exec: defining function solve_meeting_schedule()
  python_exec: defining function solve_meeting_schedule()
  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 meeting scheduling task using Answer Set        
Programming (ASP) with the clingo Python API. Here's what was accomplished:     

                               Solution Overview                                

The program schedules 5 meetings across 3 days (with 3 time slots per day) into 
2 rooms, achieving 0 preference violations (the optimal result).                

                                 Final Schedule                                 

 • m1 (Project kickoff): Day 1, Slot 1, Room r2 ✓ (preferred time)              
 • m2 (Budget review): Day 1, Slot 2, Room r2 ✓ (preferred time)                
 • m3 (Technical design): Day 2, Slot 3, Room r2                                
 • m4 (Client presentation): Day 3, Slot 3, Room r2 ✓ (preferred time)          
 • m5 (Team retrospective): Day 3, Slot 1, Room r1                              

                             Constraints Satisfied                              

 1 ✓ Each meeting assigned exactly one time slot and room                       
 2 ✓ No person conflicts (no one attending two meetings simultaneously)         
 3 ✓ No room double-booking                                                     
 4 ✓ All required attendees available                                           
 5 ✓ All 3 meetings with time preferences scheduled at their preferred times    

                                ASP Model Design                                

 • Used choice rules to generate exactly one assignment per meeting             
 • Implemented constraints to prevent person and room conflicts                 
 • Tracked preference violations and enforced 0 violations as a hard constraint 
 • Solution found efficiently within milliseconds                               

The code has been saved to 008_meeting_scheduling_easy_task_code.py and produces
the required JSON output format.                                                

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

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

💬 Token Consumption:
  Input tokens:        207,367
  Output tokens:       6,507
  Total tokens:        213,874

⏱️  Execution time: 2m 7.0s
==================================================


=== STDERR ===
<block>:36:47-49: error: syntax error, unexpected !=, expecting )

<block>:36:47-49: error: syntax error, unexpected !=, expecting )

