Return code: 0
Duration: 87.5s

=== 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_zebra_puzzle()
  python_exec: solution_houses = [
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...

Perfect! I've successfully completed the Zebra Puzzle task using Answer Set     
Programming.                                                                    


                                    Summary                                     

The solution uses clingo to model the classic Einstein's Riddle as a constraint 
satisfaction problem. Key aspects of the implementation:                        

 1 Domain Modeling: Defined 5 houses with 5 attribute types (color, nationality,
   drink, cigarette, pet), each with 5 possible values.                         
 2 Choice Rules: Used exact cardinality constraints 1 { ... } 1 to ensure:      
    • Each house gets exactly one of each attribute                             
    • Each attribute value appears exactly once across all houses               
 3 Constraint Encoding: Implemented all 15 constraints using:                   
    • Bidirectional implications for equivalence relationships                  
    • Adjacency checks using H-1 and H+1 for "next to" constraints              
    • Direct position constraints for fixed locations                           
 4 Solution: The solver found that the German owns the zebra (in house 4), with 
   all constraints satisfied and verified.                                      

The code is clean, efficient, and produces the correct JSON output format as    
required.                                                                       

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

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

💬 Token Consumption:
  Input tokens:        108,186
  Output tokens:       5,533
  Total tokens:        113,719

⏱️  Execution time: 1m 25.3s
==================================================


=== STDERR ===
