diff --git a/.gitignore b/.gitignore
index 9f3cfd84..4fd1a457 100644
--- a/.gitignore
+++ b/.gitignore
@@ -12,6 +12,7 @@ NapCat.Framework.Windows.OneKey/
 log/
 logs/
 out/
+SnowLuma-v1.6.10-win-x64/
 tool_call_benchmark.py
 run_maibot_core.bat
 run_voice.bat
diff --git a/src/maisaka/builtin_tool/reply.py b/src/maisaka/builtin_tool/reply.py
index 5d247b34..35c7df78 100644
--- a/src/maisaka/builtin_tool/reply.py
+++ b/src/maisaka/builtin_tool/reply.py
@@ -24,7 +24,6 @@ async def _run_expression_selector(tool_ctx: BuiltinToolRuntimeContext, system_p
         context_message_limit=10,
         system_prompt=system_prompt,
         request_kind="expression_selector",
-        max_tokens=256,
     )
     return (response.content or "").strip()
 
diff --git a/src/maisaka/builtin_tool/send_emoji.py b/src/maisaka/builtin_tool/send_emoji.py
index 6cb8050b..56b61f1d 100644
--- a/src/maisaka/builtin_tool/send_emoji.py
+++ b/src/maisaka/builtin_tool/send_emoji.py
@@ -34,7 +34,6 @@ from .context import BuiltinToolRuntimeContext
 logger = get_logger("maisaka_builtin_send_emoji")
 
 _EMOJI_SUB_AGENT_CONTEXT_LIMIT = 12
-_EMOJI_SUB_AGENT_MAX_TOKENS = 240
 _EMOJI_MAX_CANDIDATE_COUNT = 64
 _EMOJI_CANDIDATE_TILE_SIZE = 256
 _EMOJI_SUCCESS_MESSAGE = "表情包发送成功"
@@ -368,7 +367,6 @@ async def _select_emoji_with_sub_agent(
         context_message_limit=_EMOJI_SUB_AGENT_CONTEXT_LIMIT,
         system_prompt=system_prompt,
         extra_messages=[prompt_message, candidate_message],
-        max_tokens=_EMOJI_SUB_AGENT_MAX_TOKENS,
         model_task_name=model_task_name,
     )
     selection_duration_ms = round((datetime.now() - selection_started_at).total_seconds() * 1000, 2)
diff --git a/src/maisaka/chat_loop_service.py b/src/maisaka/chat_loop_service.py
index 1cd508c7..35591f94 100644
--- a/src/maisaka/chat_loop_service.py
+++ b/src/maisaka/chat_loop_service.py
@@ -194,7 +194,6 @@ class MaisakaChatLoopService:
         chat_system_prompt: Optional[str] = None,
         session_id: Optional[str] = None,
         is_group_chat: Optional[bool] = None,
-        max_tokens: int = 2048,
         model_task_name: str = "planner",
     ) -> None:
         """初始化 Maisaka 对话循环服务。
@@ -203,10 +202,7 @@ class MaisakaChatLoopService:
             chat_system_prompt: 可选的系统提示词。
             session_id: 当前会话 ID，用于匹配会话级额外提示。
             is_group_chat: 当前会话是否为群聊。
-            max_tokens: 规划器最大输出长度。
         """
-
-        self._max_tokens = max_tokens
         self._model_task_name = model_task_name.strip() or "planner"
         self._is_group_chat = is_group_chat
         self._session_id = session_id or ""
@@ -606,7 +602,6 @@ class MaisakaChatLoopService:
             message_factory=message_factory,
             options=LLMGenerationOptions(
                 tool_options=all_tools if all_tools else None,
-                max_tokens=self._max_tokens,
                 response_format=response_format,
                 interrupt_flag=self._interrupt_flag,
             ),
diff --git a/src/maisaka/runtime.py b/src/maisaka/runtime.py
index da298be0..0d13136f 100644
--- a/src/maisaka/runtime.py
+++ b/src/maisaka/runtime.py
@@ -619,7 +619,6 @@ class MaisakaHeartFlowChatting:
         request_kind: str = "sub_agent",
         extra_messages: Optional[Sequence[LLMContextMessage]] = None,
         interrupt_flag: asyncio.Event | None = None,
-        max_tokens: int = 512,
         model_task_name: str = "planner",
         response_format: RespFormat | None = None,
         tool_definitions: Optional[Sequence[ToolDefinitionInput]] = None,
@@ -643,7 +642,6 @@ class MaisakaHeartFlowChatting:
             chat_system_prompt=system_prompt,
             session_id=self.session_id,
             is_group_chat=self.chat_stream.is_group_session,
-            max_tokens=max_tokens,
             model_task_name=model_task_name,
         )
         sub_agent.set_interrupt_flag(interrupt_flag)
@@ -703,7 +701,6 @@ class MaisakaHeartFlowChatting:
             system_prompt="你是回复效果评分器。请严格按用户给出的 JSON 格式输出，不要输出 JSON 之外的内容。",
             request_kind="reply_effect_judge",
             extra_messages=[judge_message],
-            max_tokens=900,
             tool_definitions=[],
         )
         return (response.content or "").strip()