diff --git a/lib/agent_loop.py b/lib/agent_loop.py
index d0138e6..421f89b 100644
--- a/lib/agent_loop.py
+++ b/lib/agent_loop.py
@@ -15,10 +15,7 @@ from lib.personality import PERSONALITY
 from tools.vision import ImagePayload
 from scripts import loggorilla
 
-
 def _cap_output(result):
-    # Jaring pengaman ukuran output tool. Hormati semantics config:
-    # AGENT_MAX_TOOL_OUTPUT <= 0 = unlimited (tidak dipotong).
     limit = getattr(config, "AGENT_MAX_TOOL_OUTPUT", 0)
     if not limit or limit <= 0:
         return result
@@ -27,7 +24,6 @@ def _cap_output(result):
         return result[:limit] + f"\n... [truncated: {omitted} chars omitted]"
     return result
 
-
 def execute_tool(tool_call, TOOL_HANDLERS):
     tname = tool_call['function']['name']
     targs = json.loads(tool_call['function']['arguments'])
@@ -75,12 +71,9 @@ class SessionStore:
         if self._on_append:
             self._on_append(message)
 
-
 class AgentResult:
-    """Hasil satu kali jalan loop."""
-
-    def __init__(self, content=None, session_ended=False,
-                 model_info=None, warning=None, is_multimodal=False):
+    # Hasil satu kali jalan loop.
+    def __init__(self, content=None, session_ended=False, model_info=None, warning=None, is_multimodal=False):
         self.content = content              # str | None
         self.session_ended = session_ended  # tool end_session pernah dipanggil
         self.model_info = model_info or {}  # model yang benar-benar menjawab
@@ -284,5 +277,4 @@ def run_agent_loop(store, llm_client, TOOLS, TOOL_HANDLERS, max_iterations,
     })
     observer.on_max_iterations(max_iterations)
     observer.on_run_end()
-    return AgentResult(content=None, session_ended=session_ended,
-                       model_info=model_info, warning=warning)
+    return AgentResult(content=None, session_ended=session_ended, model_info=model_info, warning=warning)