Return code: 0
Duration: 51.4s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function on_model()
  python_exec: print("Verification of Steady States:")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the Boolean gene regulatory network task using ASP  
with clingo. The solution:                                                      

                                 Key Features:                                  

 1 Modeled all genes (g1-g5) with binary states (active/inactive)               
 2 Encoded regulatory rules as ASP constraints:                                 
    • g1 ↔ ¬g2 (mutual exclusion)                                               
    • g2 ↔ ¬g1 (mutual exclusion)                                               
    • g3 ↔ (g4 ∧ g5) (biconditional logic)                                      
    • g4 always active (constitutive)                                           
    • g5 always active (constitutive)                                           
 3 Found all steady states using clingo's enumeration mode                      

                                    Results:                                    

The network has 2 steady states:                                                

 • State 1: g1=0, g2=1, g3=1, g4=1, g5=1                                        
 • State 2: g1=1, g2=0, g3=1, g4=1, g5=1                                        

Both states are valid fixed points where g1 and g2 toggle between               
active/inactive while g3, g4, and g5 remain active.                             

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

🔧 Tool Usage:
  python_exec            2 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        97,280
  Output tokens:       2,590
  Total tokens:        99,870

⏱️  Execution time: 50.2s
==================================================


=== STDERR ===
