Return code: 0
Duration: 82.2s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: import clingo
  python_exec: asp_program = """
  python_exec: defining function on_model()
  python_exec: if solution_data:
  python_exec: print("Task 7: Verification")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the alternative history scenario analysis task using
Answer Set Programming (ASP). The solution models the causal dependencies       
between historical events and determines the effects of preventing the discovery
of America.                                                                     

Key Results:                                                                    

 • Original Timeline: All 5 events occur in chronological order                 
 • Alternate Timeline: Empty (all events prevented)                             
 • Direct Effects: columbian_exchange and spanish_empire (both directly require 
   discovery_of_america)                                                        
 • Cascade Effects: industrial_revolution (requires spanish_empire) and         
   world_wars (requires industrial_revolution)                                  

The ASP model uses recursive rules to compute the causal cascade: when an event 
is prevented, all events that depend on it (directly or indirectly) are also    
prevented. This creates a domino effect where preventing the discovery of       
America eliminates all subsequent events in this historical chain.              

The solution has been saved to 061_historical_counterfactual_easy_task_code.py  
and produces the correct JSON output format as specified.                       

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

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

💬 Token Consumption:
  Input tokens:        164,362
  Output tokens:       3,764
  Total tokens:        168,126

⏱️  Execution time: 1m 20.4s
==================================================


=== STDERR ===
