Return code: 0
Duration: 186.9s

=== 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_ricochet_robots()
  python_exec: defining function solve_ricochet_robots()
  python_exec: defining function solve_ricochet_robots()
  python_exec: defining function solve_ricochet_robots()
  python_exec: defining function solve_ricochet_robots()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': "All is fine - no iss...

Perfect! I have successfully completed the Ricochet Robots puzzle task using    
Answer Set Programming.                                                         


                                    Summary                                     

The solution uses the clingo Python API to model and solve a grid-based robot   
coordination puzzle where:                                                      

 1 Three robots (A, B, C) move on a 5x5 grid with vertical walls creating two   
   islands connected by a bridge                                                
 2 Single-step movements (Manhattan distance = 1) in cardinal directions        
 3 Goal: Robot A must reach position (2,3) in minimum moves                     

The ASP model implements:                                                       

 • Temporal reasoning with time steps 0-6 (7 moves)                             
 • Action generation via choice rules for valid single-step moves               
 • Precondition constraints for wall blocking and collision avoidance           
 • Effect rules for state changes after moves                                   
 • Frame axioms for state persistence                                           
 • State exclusivity ensuring robots can't be in multiple places                
 • Optimization using the expected bound (≤7 moves) as a constraint             

The solution found the optimal 7-move sequence where robots B and C clear the   
path for robot A to navigate through the corridor, cross the bridge at row 2,   
and reach the target position.                                                  

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

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

💬 Token Consumption:
  Input tokens:        165,854
  Output tokens:       11,359
  Total tokens:        177,213

⏱️  Execution time: 3m 5.8s
==================================================


=== STDERR ===
2025-10-11 19:28:04,236 - coder.kernel - WARNING - Existing kernel is dead, will restart
