Return code: 0
Duration: 117.9s

=== 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 planning complete. Starting implementa...
  python_exec: import clingo
  python_exec: defining function on_model()
  python_exec: parallel_fifths = 0
  python_exec: print("=== VERIFICATION ===\n")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the ASP task to generate a two-part counterpoint    
composition. The solution:                                                      

                                 Key Features:                                  

 1 Uses clingo Python API to model and solve the music composition problem      
 2 Encodes all constraints from classical counterpoint theory:                  
    • Voice ranges for Soprano and Alto                                         
    • C Major scale notes only                                                  
    • No voice crossing (Soprano always higher)                                 
    • Melodic leaps ≤ 7 semitones                                               
    • Only consonant harmonic intervals (3,4,7,8,9,12,15,16 semitones)          
    • No parallel fifths or octaves                                             
    • Proper starting notes (Alto=C4, Soprano=E4 or G4)                         
    • V-chord cadence at time 7                                                 
    • I-chord resolution at time 8 (both voices on C)                           
 3 Generates valid output in the required JSON format with composition details  
   and analysis                                                                 
 4 Verified solution passes all constraint checks including no parallel motion  
   violations and proper cadence structure                                      

The code is clean, well-structured, and completes in well under 10 seconds.     

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

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

💬 Token Consumption:
  Input tokens:        105,464
  Output tokens:       7,174
  Total tokens:        112,638

⏱️  Execution time: 1m 57.0s
==================================================


=== STDERR ===
