{
  "model": "$model",
  "stream": true,

  "input": [
    ## 1. System Context
    {
      "type": "message",
      "role": "system",
      "content": [
        { 
          "type": "input_text", 
          "text": #jesc($systemmessage) 
        }
      ]
    }

    ## 2. Conversation History
    #foreach($message in $recent)
      #set($entry = $testbench.getData("thought", $message.id))
      
      ## LOGIC: Determine if we should skip this entry
      #set( $shouldRender = true )
      #if( $entry.user == "agent" && (!$entry.message || $entry.message.trim() == "") && $entry.messagetype != "function_call" )
          #set( $shouldRender = false )
      #end

      #if( $shouldRender )
          ## Comma management: We add a comma for every item after the first System message
          ,

          #if($entry.messagetype == "function_call" || $entry.messagetype == "tool_calls")
             ## --- HANDLE TOOL EXECUTION (The "Beer" Fix) ---
             ## We inject TWO messages here:
             ## 1. The Assistant saying what it did (Breaks the loop)
             ## 2. The System providing the result
             
             {
                "type": "message",
                "role": "assistant",
                "content": [
                    {
                        "type": "output_text", 
                        ## We reconstruct the intent so the LLM knows it already happened
                        "text": #jesc("I will run the function ${entry.function} with arguments: ${entry.arguments}")
                    }
                ]
             },
             {
                "type": "message",
                "role": "system",
                "content": [
                    {
                        "type": "input_text",
                        ## The actual result content
                        "text": #jesc("Function ${entry.function} returned: ${entry.function_response}")
                    }
                ]
             }

          #elseif($entry.user == "agent")
             ## --- STANDARD ASSISTANT ---
             {
                "type": "message",
                "role": "assistant",
                "content": [
                    {
                        "type": "output_text", 
                        "text": #jesc($entry.message)
                    }
                ]
             }

          #else
             ## --- USER ---
             {
                "type": "message",
                "role": "user",
                "content": [
                    {
                        "type": "input_text",
                        "text": #jesc($entry.message)
                    }
                ]
             }
          #end
      #end
    #end
  ],

  "tools": [
    #foreach($func in $functions)
      #if($foreach.count != 1),#end
      $gpt.loadInputFromTemplate($context, "$apphome/frames/$frameroot/functions/${func}.json")
    
    #end
  ],

  "tool_choice": "auto"
}