Return code: 0
Duration: 101.0s

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


                                    Summary                                     

I've successfully completed the radio frequency assignment task using Answer Set
Programming (ASP) with the clingo Python API. Here's what was accomplished:     

                               Solution Approach:                               

 1 Modeled the problem with clear ASP predicates:                               
    • transmitter(T) - defines transmitters                                     
    • frequency(F, Band, Cost) - defines frequencies with their bands and costs 
    • allowed_band(T, Band) - defines band restrictions for each transmitter    
    • interferes(T1, T2) - defines interference pairs                           
    • assigned(T, F) - the assignment decision variable                         
 2 Implemented constraints:                                                     
    • Each transmitter gets exactly one frequency from its allowed band(s)      
    • Same-band interference: frequencies must differ by more than 1            
    • Cross-band interference: automatically satisfied (all frequencies are     
      unique)                                                                   
 3 Optimized for minimum cost using #minimize directive                         

                                    Results:                                    

 • Total cost: 200 (matches expected minimum)                                   
 • All 10 transmitters successfully assigned                                    
 • All constraints verified and satisfied                                       
 • Solution completes in well under 10 seconds                                  

The final code has been saved 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:        99,009
  Output tokens:       5,690
  Total tokens:        104,699

⏱️  Execution time: 1m 39.9s
==================================================


=== STDERR ===
