Return code: 0
Duration: 94.7s

=== 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: state = steady_states[0]
  python_exec: print(json.dumps(output, indent=2))
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...

Perfect! I've successfully completed the task. Here's a summary:                


                                Solution Summary                                

The ASP model found exactly 1 steady state for the hierarchical Boolean gene    
regulatory network:                                                             

                                                                                
 {                                                                              
   "steady_states": [                                                           
     {                                                                          
       "master_reg": 0,                                                         
       "m1_g1": 1,                                                              
       "m1_g2": 0,                                                              
       "m1_g3": 1,                                                              
       "m2_g1": 0,                                                              
       "m2_g2": 1,                                                              
       "m2_g3": 0,                                                              
       "reporter": 1                                                            
     }                                                                          
   ]                                                                            
 }                                                                              
                                                                                

                                 Key Insights:                                  

 1 Master regulator is inactive because Module 1 has 2 active genes while Module
   2 has only 1 (counts differ)                                                 
 2 Module 1 forms a NOT-gate cascade: m1_g3 (constitutive) → NOT → m1_g2 → NOT →
   m1_g1, resulting in pattern (1,0,1)                                          
 3 Module 2 responds to Module 1 state:                                         
    • m2_g1=0 (requires both m1_g1 and m1_g2 inactive, but m1_g1=1)             
    • m2_g2=1 (requires exactly 2 Module 1 genes active ✓)                      
    • m2_g3=0 (requires m2_g1=1 AND m2_g2=0, but m2_g1=0)                       
 4 Reporter is active because 2 out of 3 Module 2 genes are inactive (majority  
   voting)                                                                      
 5 No steady state exists when master_reg is active because the repressive ring 
   oscillator in Module 2 creates a logical contradiction (each gene must be the
   opposite of the next, which is impossible in a 3-gene ring).                 

The solution has been saved and verified against all constraints.               

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

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

💬 Token Consumption:
  Input tokens:        125,428
  Output tokens:       5,601
  Total tokens:        131,029

⏱️  Execution time: 1m 33.5s
==================================================


=== STDERR ===
