feat：修改maisaka

src/maisaka/llm_service.py

@@ -3,19 +3,24 @@ MaiSaka LLM 服务 - 使用主项目 LLM 系统
 将主项目的 LLMRequest 适配为 MaiSaka 需要的接口
 """
 
-import json
 from dataclasses import dataclass
-from typing import List, Optional, Literal
+from typing import Any, List, Literal, Optional
+import json
+
+from rich.console import Group
+from rich.panel import Panel
+from rich.pretty import Pretty
+from rich.text import Text
 
 from src.common.logger import get_logger
 from src.config.config import config_manager
-from src.llm_models.utils_model import LLMRequest
-from src.prompt.prompt_manager import prompt_manager
 from src.llm_models.payload_content.message import MessageBuilder, RoleType
 from src.llm_models.payload_content.tool_option import ToolCall as ToolCallOption, ToolOption
-from builtin_tools import get_builtin_tools
-
-import config
+from src.llm_models.utils_model import LLMRequest
+from src.prompt.prompt_manager import prompt_manager
+from . import config
+from .config import console
+from .builtin_tools import get_builtin_tools
 
 logger = get_logger("maisaka_llm")
 
@@ -123,10 +128,6 @@ class MaiSakaLLMService:
                     tools_section += "\n• read_file(filename) — 读取 mai_files 目录下的文件内容。"
                 if config.ENABLE_LIST_FILES:
                     tools_section += "\n• list_files() — 获取 mai_files 目录下所有文件的元信息列表。"
-                if config.ENABLE_QQ_TOOLS:
-                    tools_section += "\n• get_qq_chat_info(chat, limit) — 获取指定 QQ 聊天的聊天记录。"
-                    tools_section += "\n• send_info(chat, message) — 发送消息到指定的 QQ 聊天。"
-                    tools_section += "\n• list_qq_chats() — 获取所有可用的 QQ 聊天列表。"
 
                 chat_prompt.add_context("file_tools_section", tools_section if tools_section else "")
                 import asyncio
@@ -203,6 +204,108 @@ class MaiSakaLLMService:
         """设置额外的工具定义（如 MCP 工具）"""
         self._extra_tools = list(tools)
 
+    @staticmethod
+    def _get_role_badge_style(role: str) -> str:
+        """为不同 role 返回不同的标签样式。"""
+        if role == "system":
+            return "bold white on blue"
+        if role == "user":
+            return "bold black on green"
+        if role == "assistant":
+            return "bold black on yellow"
+        if role == "tool":
+            return "bold white on magenta"
+        return "bold white on bright_black"
+
+    @staticmethod
+    def _render_message_content(content: Any) -> object:
+        """把消息内容转成适合 Rich 输出的 renderable。"""
+        if isinstance(content, str):
+            return Text(content)
+
+        if isinstance(content, list):
+            parts: list[object] = []
+            for item in content:
+                if isinstance(item, dict) and item.get("type") == "text" and isinstance(item.get("text"), str):
+                    parts.append(Text(item["text"]))
+                else:
+                    parts.append(Pretty(item, expand_all=True))
+            return Group(*parts) if parts else Text("")
+
+        if content is None:
+            return Text("")
+
+        return Pretty(content, expand_all=True)
+
+    @staticmethod
+    def _format_tool_call_for_display(tool_call: Any) -> dict[str, Any]:
+        """将 tool call 转成适合 CLI 展示的结构。"""
+        if isinstance(tool_call, dict):
+            function_info = tool_call.get("function", {})
+            return {
+                "id": tool_call.get("id"),
+                "name": function_info.get("name", tool_call.get("name")),
+                "arguments": function_info.get("arguments", tool_call.get("arguments")),
+            }
+
+        return {
+            "id": getattr(tool_call, "call_id", getattr(tool_call, "id", None)),
+            "name": getattr(tool_call, "func_name", getattr(tool_call, "name", None)),
+            "arguments": getattr(tool_call, "args", getattr(tool_call, "arguments", None)),
+        }
+
+    def _render_message_panel(self, message: Any, index: int) -> Panel:
+        """渲染主循环 prompt 中的一条消息。"""
+        if isinstance(message, dict):
+            raw_role = message.get("role", "unknown")
+            content = message.get("content")
+            tool_calls = message.get("tool_calls")
+            tool_call_id = message.get("tool_call_id")
+        else:
+            raw_role = getattr(message, "role", "unknown")
+            content = getattr(message, "content", None)
+            tool_calls = getattr(message, "tool_calls", None)
+            tool_call_id = getattr(message, "tool_call_id", None)
+
+        role = raw_role.value if hasattr(raw_role, "value") else str(raw_role)
+        title = Text.assemble(
+            Text(f" {role.upper()} ", style=self._get_role_badge_style(role)),
+            Text(f"  #{index}", style="muted"),
+        )
+
+        parts: list[object] = []
+        if content not in (None, "", []):
+            parts.append(Text(" message ", style="bold cyan"))
+            parts.append(self._render_message_content(content))
+
+        if tool_calls:
+            parts.append(Text(" tool_calls ", style="bold magenta"))
+            parts.append(
+                Pretty(
+                    [self._format_tool_call_for_display(tool_call) for tool_call in tool_calls],
+                    expand_all=True,
+                )
+            )
+
+        if tool_call_id:
+            parts.append(
+                Text.assemble(
+                    Text(" tool_call_id ", style="bold magenta"),
+                    Text(" "),
+                    Text(str(tool_call_id), style="magenta"),
+                )
+            )
+
+        if not parts:
+            parts.append(Text("[empty message]", style="muted"))
+
+        return Panel(
+            Group(*parts),
+            title=title,
+            border_style="dim",
+            padding=(0, 1),
+        )
+
     @staticmethod
     def _tool_option_to_dict(tool: "ToolOption") -> dict:
         """将 ToolOption 对象转换为主项目期望的 dict 格式
@@ -287,11 +390,14 @@ class MaiSakaLLMService:
 
         # 打印消息列表
         built_messages = message_factory(None)
-        print("\n" + "=" * 60)
-        print("MaiSaka LLM Request - chat_loop_step:")
-        for msg in built_messages:
-            print(f"  {msg}")
-        print("=" * 60 + "\n")
+        console.print(
+            Panel(
+                Group(*[self._render_message_panel(msg, index + 1) for index, msg in enumerate(built_messages)]),
+                title="MaiSaka LLM Request - chat_loop_step",
+                border_style="cyan",
+                padding=(0, 1),
+            )
+        )
 
         response, (reasoning, model, tool_calls) = await self._llm_chat.generate_response_with_message_async(
             message_factory=message_factory,
@@ -423,10 +529,11 @@ class MaiSakaLLMService:
 
         prompt = "\n".join(prompt_parts)
 
-        print("\n" + "=" * 60)
-        print("MaiSaka LLM Request - analyze_cognition:")
-        print(f"  {prompt}")
-        print("=" * 60 + "\n")
+        if config.SHOW_ANALYZE_COGNITION_PROMPT:
+            print("\n" + "=" * 60)
+            print("MaiSaka LLM Request - analyze_cognition:")
+            print(f"  {prompt}")
+            print("=" * 60 + "\n")
 
         try:
             response, _ = await self._llm_utils.generate_response_async(
@@ -458,10 +565,11 @@ class MaiSakaLLMService:
 
         prompt = "\n".join(prompt_parts)
 
-        print("\n" + "=" * 60)
-        print("MaiSaka LLM Request - analyze_timing:")
-        print(f"  {prompt}")
-        print("=" * 60 + "\n")
+        if config.SHOW_ANALYZE_TIMING_PROMPT:
+            print("\n" + "=" * 60)
+            print("MaiSaka LLM Request - analyze_timing:")
+            print(f"  {prompt}")
+            print("=" * 60 + "\n")
 
         try:
             response, _ = await self._llm_utils.generate_response_async(
@@ -518,7 +626,7 @@ class MaiSakaLLMService:
         可供 Replyer 类直接调用
         """
         from datetime import datetime
-        from replyer import format_chat_history
+        from .replyer import format_chat_history
 
         current_time = datetime.now().strftime("%Y-%m-%d %H:%M:%S")