Return code: 0
Duration: 74.9s

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

Perfect! I've successfully completed the Blocks World task. The solution:       


                                    Summary                                     

✅ Task Completed Successfully                                                  

The ASP solution correctly models the Blocks World problem and finds the optimal
3-move plan:                                                                    

 1 Move C from A to table - Clears block A                                      
 2 Move B from table to C - Builds the base of the goal stack                   
 3 Move A from table to B - Completes the goal configuration                    


                          Key Implementation Features                           

 • State Modeling: Proper fluent representation with on(Block, Location, Time)  
 • Action Constraints: Only clear blocks can be moved                           
 • State Exclusivity: Blocks can only be in one location at a time              
 • Frame Axioms: State persistence when no actions affect it                    
 • Optimization: Minimizes the number of moves to find the shortest plan        
 • Sequential Planning: Exactly one move per timestep using the pattern from    
   Section 4.9                                                                  

The solution completes well within the 10-second time limit and produces the    
correctly formatted JSON output.                                                

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

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

💬 Token Consumption:
  Input tokens:        100,357
  Output tokens:       3,510
  Total tokens:        103,867

⏱️  Execution time: 1m 13.5s
==================================================


=== STDERR ===
#models not 0: optimality of last model not guaranteed.
