Return code: 0
Duration: 150.5s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("=== Task 1: Problem Analysis ===")
  python_exec: import clingo
  python_exec: asp_program = """
  python_exec: defining function on_model()
  python_exec: analyzing/aggregating data
  python_exec: defining function on_model()
  python_exec: print("=== Task 6: Solution Verification ===")
  python_exec: defining function on_model()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I have successfully completed the ASP resource allocation task. The solution:   

                                 Key Features:                                  

 1 Uses clingo Python API to model and solve the optimization problem           
 2 Correctly implements all constraints:                                        
    • Resource capacity limits for 4 resource types                             
    • Prerequisite dependency (Task 4 requires Task 0)                          
    • Mutual exclusion (Tasks 1 and 7 cannot both be selected)                  
    • Conditional specialist cost (+5 per deployment task when development tasks
      exist)                                                                    
    • Diversity bonus (+100 when all 3 categories represented)                  
 3 Finds optimal solution: Tasks [1, 2, 3, 5, 11] with total value 470          
    • Includes tasks from all 3 categories (Research, Development, Deployment)  
    • Achieves diversity bonus                                                  
    • Uses resources optimally: Compute 140/150, Bandwidth 120/120, Storage     
      135/140, Specialists 60/60                                                
 4 Outputs correct JSON format with selected tasks, total value, bonus status,  
   and resource usage                                                           

The solution has been saved to 023_resource_allocation_hard_task_code.py and is 
ready to run.                                                                   

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

🔧 Tool Usage:
  python_exec            8 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        167,615
  Output tokens:       8,774
  Total tokens:        176,389

⏱️  Execution time: 2m 29.1s
==================================================


=== STDERR ===
<block>:40:77-78: error: syntax error, unexpected *, expecting "," or . or ;

