与MaiBot开发团队交流了一下并进一步改了Readme，增加了几处强调是Fork项目的说明

补要拷打我当时真的不是我把之前的都init的😭😭😭

src/plugins/built_in/siliconflow_api_index_tts/_manifest.json

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+{
+  "manifest_version": 1,
+  "name": "SiliconFlow IndexTTS 语音合成插件",
+  "version": "2.0.0",
+  "description": "基于SiliconFlow API的IndexTTS语音合成插件，使用IndexTeam/IndexTTS-2模型支持高质量的零样本语音克隆。",
+  "author": {
+    "name": "MoFox Studio", 
+    "url": "https://github.com/MoFox-Studio"
+  },
+  "license": "GPL-v3.0-or-later",
+  
+  "host_application": {
+    "min_version": "0.8.0"
+  },
+  "homepage_url": "https://docs.siliconflow.cn/cn/userguide/capabilities/text-to-speech",
+  "repository_url": "https://github.com/MoFox-Studio/MoFox-Bot",
+  "keywords": ["tts", "voice", "audio", "speech", "indextts", "voice-cloning", "siliconflow"],
+  "categories": ["Audio Tools", "Voice Assistant", "AI Tools"],
+  
+  "default_locale": "zh-CN",
+  "locales_path": "_locales",
+  
+  "plugin_info": {
+    "is_built_in": true,
+    "plugin_type": "audio_processor",
+    "components": [
+      {
+        "type": "action",
+        "name": "siliconflow_indextts_action", 
+        "description": "使用SiliconFlow API进行IndexTTS语音合成",
+        "activation_modes": ["llm_judge", "keyword"],
+        "keywords": ["克隆语音", "模仿声音", "语音合成", "indextts", "声音克隆", "语音生成", "仿声", "变声"]
+      },
+      {
+        "type": "command",
+        "name": "siliconflow_tts_cmd",
+        "description": "SiliconFlow IndexTTS语音合成命令",
+        "command_name": "sf_tts",
+        "aliases": ["sftts", "sf语音", "硅基语音"]
+      }
+    ],
+    "features": [
+      "零样本语音克隆",
+      "情感控制语音合成", 
+      "自定义参考音频",
+      "高质量音频输出",
+      "多种语音风格"
+    ]
+  }
+}

src/plugins/built_in/siliconflow_api_index_tts/audio_reference/README.md

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+# 参考音频目录
+
+将您的参考音频文件放置在此目录中，用于语音克隆功能。
+
+## 音频要求
+
+- **格式**: WAV, MP3, M4A
+- **采样率**: 16kHz 或 24kHz
+- **时长**: 3-30秒（推荐5-10秒）
+- **质量**: 语音清晰，无背景噪音
+- **内容**: 自然语音，避免音乐或特效
+
+## 文件命名建议
+
+- 使用描述性的文件名，例如：
+  - `male_voice_calm.wav` - 男声平静
+  - `female_voice_cheerful.wav` - 女声活泼
+  - `child_voice_cute.wav` - 童声可爱
+  - `elderly_voice_wise.wav` - 老年声音睿智
+
+## 使用方法
+
+1. 将音频文件复制到此目录
+2. 在命令中使用文件名：
+   ```
+   /sf_tts "测试文本" --ref "your_audio.wav"
+   ```
+3. 或在配置中设置默认参考音频：
+   ```toml
+   [synthesis]
+   default_reference_audio = "your_audio.wav"
+   ```
+
+## 注意事项
+
+- 确保您有使用这些音频的合法权限
+- 音频质量会直接影响克隆效果
+- 建议定期清理不需要的音频文件
+
+## 示例音频
+
+您可以录制或收集一些不同风格的音频：
+
+- **情感类型**: 开心、悲伤、愤怒、平静、激动
+- **说话风格**: 正式、随意、播报、对话
+- **音调特点**: 低沉、清亮、温柔、有力

src/plugins/built_in/siliconflow_api_index_tts/plugin.py

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+"""
+SiliconFlow IndexTTS 语音合成插件
+基于SiliconFlow API的IndexTTS语音合成插件，支持高质量的零样本语音克隆和情感控制
+"""
+
+import os
+import base64
+import hashlib
+import asyncio
+import aiohttp
+import json
+import toml
+from typing import Tuple, Optional, Dict, Any, List, Type
+from pathlib import Path
+
+from src.plugin_system import BasePlugin, BaseAction, BaseCommand, register_plugin, ConfigField
+from src.plugin_system.base.base_action import ActionActivationType, ChatMode
+from src.common.logger import get_logger
+
+logger = get_logger("SiliconFlow-TTS")
+
+
+def get_global_siliconflow_api_key() -> Optional[str]:
+    """从全局配置文件中获取SiliconFlow API密钥"""
+    try:
+        # 读取全局model_config.toml配置文件
+        config_path = Path("config/model_config.toml")
+        if not config_path.exists():
+            logger.error("全局配置文件 config/model_config.toml 不存在")
+            return None
+            
+        with open(config_path, "r", encoding="utf-8") as f:
+            model_config = toml.load(f)
+            
+        # 查找SiliconFlow API提供商配置
+        api_providers = model_config.get("api_providers", [])
+        for provider in api_providers:
+            if provider.get("name") == "SiliconFlow":
+                api_key = provider.get("api_key", "")
+                if api_key:
+                    logger.info("成功从全局配置读取SiliconFlow API密钥")
+                    return api_key
+                    
+        logger.warning("在全局配置中未找到SiliconFlow API提供商或API密钥为空")
+        return None
+        
+    except Exception as e:
+        logger.error(f"读取全局配置失败: {e}")
+        return None
+
+
+class SiliconFlowTTSClient:
+    """SiliconFlow TTS API客户端"""
+    
+    def __init__(self, api_key: str, base_url: str = "https://api.siliconflow.cn/v1/audio/speech", 
+                 timeout: int = 60, max_retries: int = 3):
+        self.api_key = api_key
+        self.base_url = base_url
+        self.timeout = timeout
+        self.max_retries = max_retries
+        
+    async def synthesize_speech(self, text: str, voice_id: str,
+                               model: str = "IndexTeam/IndexTTS-2", 
+                               speed: float = 1.0, volume: float = 1.0,
+                               emotion_strength: float = 1.0,
+                               output_format: str = "wav") -> bytes:
+        """
+        调用SiliconFlow API进行语音合成
+        
+        Args:
+            text: 要合成的文本
+            voice_id: 预配置的语音ID
+            model: 模型名称 (默认使用IndexTeam/IndexTTS-2)
+            speed: 语速
+            volume: 音量
+            emotion_strength: 情感强度
+            output_format: 输出格式
+            
+        Returns:
+            合成的音频数据
+        """
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json"
+        }
+        
+        # 构建请求数据
+        data = {
+            "model": model,
+            "input": text,
+            "voice": voice_id,
+            "format": output_format,
+            "speed": speed
+        }
+        
+        logger.info(f"使用配置的Voice ID: {voice_id}")
+        
+        # 发送请求
+        for attempt in range(self.max_retries):
+            try:
+                async with aiohttp.ClientSession() as session:
+                    async with session.post(
+                        self.base_url,
+                        headers=headers,
+                        json=data,
+                        timeout=aiohttp.ClientTimeout(total=self.timeout)
+                    ) as response:
+                        if response.status == 200:
+                            audio_data = await response.read()
+                            logger.info(f"语音合成成功，音频大小: {len(audio_data)} bytes")
+                            return audio_data
+                        else:
+                            error_text = await response.text()
+                            logger.error(f"API请求失败 (状态码: {response.status}): {error_text}")
+                            if attempt == self.max_retries - 1:
+                                raise Exception(f"API请求失败: {response.status} - {error_text}")
+            except asyncio.TimeoutError:
+                logger.warning(f"请求超时，尝试第 {attempt + 1}/{self.max_retries} 次")
+                if attempt == self.max_retries - 1:
+                    raise Exception("请求超时")
+            except Exception as e:
+                logger.error(f"请求异常: {e}")
+                if attempt == self.max_retries - 1:
+                    raise e
+                await asyncio.sleep(2 ** attempt)  # 指数退避
+        
+        raise Exception("所有重试都失败了")
+
+
+class SiliconFlowIndexTTSAction(BaseAction):
+    """SiliconFlow IndexTTS Action组件"""
+
+    # 激活设置
+    focus_activation_type = ActionActivationType.LLM_JUDGE
+    normal_activation_type = ActionActivationType.KEYWORD
+    mode_enable = ChatMode.ALL
+    parallel_action = False
+
+    # 动作基本信息
+    action_name = "siliconflow_indextts_action"
+    action_description = "使用SiliconFlow API进行高质量的IndexTTS语音合成，支持零样本语音克隆"
+
+    # 关键词配置
+    activation_keywords = ["克隆语音", "模仿声音", "语音合成", "indextts", "声音克隆", "语音生成", "仿声", "变声"]
+    keyword_case_sensitive = False
+
+    # 动作参数定义
+    action_parameters = {
+        "text": "需要合成语音的文本内容，必填，应当清晰流畅",
+        "speed": "语速（可选），范围0.1-3.0，默认1.0"
+    }
+
+    # 动作使用场景
+    action_require = [
+        "当用户要求语音克隆或模仿某个声音时使用",
+        "当用户明确要求进行语音合成时使用",
+        "当需要高质量语音输出时使用",
+        "当用户要求变声或仿声时使用"
+    ]
+
+    # 关联类型 - 支持语音消息
+    associated_types = ["voice"]
+
+    async def execute(self) -> Tuple[bool, str]:
+        """执行SiliconFlow IndexTTS语音合成"""
+        logger.info(f"{self.log_prefix} 执行SiliconFlow IndexTTS动作: {self.reasoning}")
+
+        # 优先从全局配置获取SiliconFlow API密钥
+        api_key = get_global_siliconflow_api_key()
+        if not api_key:
+            # 如果全局配置中没有，则从插件配置获取（兼容旧版本）
+            api_key = self.get_config("api.api_key", "")
+            if not api_key:
+                logger.error(f"{self.log_prefix} SiliconFlow API密钥未配置")
+                return False, "请在全局配置 config/model_config.toml 中配置SiliconFlow API密钥"
+
+        # 获取文本内容 - 多种来源尝试
+        text = ""
+        
+        # 1. 尝试从action_data获取text参数
+        text = self.action_data.get("text", "")
+        if not text:
+            # 2. 尝试从action_data获取tts_text参数（兼容其他TTS插件）
+            text = self.action_data.get("tts_text", "")
+        
+        if not text:
+            # 3. 如果没有提供具体文本，则生成一个基于reasoning的语音回复
+            if self.reasoning:
+                # 基于内心思考生成适合语音播报的内容
+                # 这里可以进行一些处理，让内心思考更适合作为语音输出
+                if "阿范" in self.reasoning and any(word in self.reasoning for word in ["想听", "语音", "声音"]):
+                    # 如果reasoning表明用户想听语音，生成相应回复
+                    text = "喵~阿范想听我的声音吗？那就用这个新的语音合成功能试试看吧~"
+                elif "测试" in self.reasoning:
+                    text = "好吧，那就试试这个新的语音合成功能吧~"
+                else:
+                    # 使用reasoning的内容，但做适当调整
+                    text = self.reasoning
+                logger.info(f"{self.log_prefix} 基于reasoning生成语音内容")
+            else:
+                # 如果完全没有内容，使用默认回复
+                text = "喵~使用SiliconFlow IndexTTS测试语音合成功能~"
+                logger.info(f"{self.log_prefix} 使用默认语音内容")
+        
+        # 获取其他参数
+        speed = float(self.action_data.get("speed", self.get_config("synthesis.speed", 1.0)))
+
+        try:
+            # 获取预配置的voice_id
+            voice_id = self.get_config("synthesis.voice_id", "")
+            if not voice_id or not isinstance(voice_id, str):
+                logger.error(f"{self.log_prefix} 配置中未找到有效的voice_id，请先运行upload_voice.py工具上传参考音频")
+                return False, "配置中未找到有效的voice_id"
+
+            logger.info(f"{self.log_prefix} 使用预配置的voice_id: {voice_id}")
+
+            # 创建TTS客户端
+            client = SiliconFlowTTSClient(
+                api_key=api_key,
+                base_url=self.get_config("api.base_url", "https://api.siliconflow.cn/v1/audio/speech"),
+                timeout=self.get_config("api.timeout", 60),
+                max_retries=self.get_config("api.max_retries", 3)
+            )
+
+            # 合成语音
+            audio_data = await client.synthesize_speech(
+                text=text,
+                voice_id=voice_id,
+                model=self.get_config("synthesis.model", "IndexTeam/IndexTTS-2"),
+                speed=speed,
+                output_format=self.get_config("synthesis.output_format", "wav")
+            )
+
+            # 转换为base64编码（语音消息需要base64格式）
+            audio_base64 = base64.b64encode(audio_data).decode('utf-8')
+
+            # 发送语音消息（使用voice类型，支持WAV格式的base64）
+            await self.send_custom(
+                message_type="voice", 
+                content=audio_base64
+            )
+
+            # 记录动作信息
+            await self.store_action_info(
+                action_build_into_prompt=True, 
+                action_prompt_display=f"已使用SiliconFlow IndexTTS生成语音: {text[:20]}...", 
+                action_done=True
+            )
+
+            logger.info(f"{self.log_prefix} 语音合成成功，文本长度: {len(text)}")
+            return True, "SiliconFlow IndexTTS语音合成成功"
+
+        except Exception as e:
+            logger.error(f"{self.log_prefix} 语音合成失败: {e}")
+            return False, f"语音合成失败: {str(e)}"
+
+
+class SiliconFlowTTSCommand(BaseCommand):
+    """SiliconFlow TTS命令组件"""
+
+    command_name = "sf_tts"
+    command_description = "使用SiliconFlow IndexTTS进行语音合成"
+    command_aliases = ["sftts", "sf语音", "硅基语音"]
+
+    command_parameters = {
+        "text": {"type": str, "required": True, "description": "要合成的文本"},
+        "speed": {"type": float, "required": False, "description": "语速 (0.1-3.0)"}
+    }
+
+    async def execute(self, text: str, speed: float = 1.0) -> Tuple[bool, str]:
+        """执行TTS命令"""
+        logger.info(f"{self.log_prefix} 执行SiliconFlow TTS命令")
+
+        # 优先从全局配置获取SiliconFlow API密钥
+        api_key = get_global_siliconflow_api_key()
+        if not api_key:
+            # 如果全局配置中没有，则从插件配置获取（兼容旧版本）
+            plugin = self.get_plugin()
+            api_key = plugin.get_config("api.api_key", "")
+            if not api_key:
+                await self.send_reply("❌ SiliconFlow API密钥未配置！请在全局配置 config/model_config.toml 中设置。")
+                return False, "API密钥未配置"
+
+        try:
+            await self.send_reply("正在使用SiliconFlow IndexTTS合成语音，请稍候...")
+
+            # 使用默认参考音频 refer.mp3
+            # 通过插件文件所在目录获取audio_reference目录
+            plugin_dir = Path(__file__).parent
+            audio_dir = plugin_dir / "audio_reference"
+            reference_audio_path = audio_dir / "refer.mp3"
+            
+            if not reference_audio_path.exists():
+                logger.warning(f"参考音频文件不存在: {reference_audio_path}")
+                reference_audio_path = None
+
+            # 创建TTS客户端
+            client = SiliconFlowTTSClient(
+                api_key=api_key,
+                base_url="https://api.siliconflow.cn/v1/audio/speech",
+                timeout=60,
+                max_retries=3
+            )
+
+            # 合成语音
+            audio_data = await client.synthesize_speech(
+                text=text,
+                reference_audio_path=str(reference_audio_path) if reference_audio_path else None,
+                model="IndexTeam/IndexTTS-2",
+                speed=speed,
+                output_format="wav"
+            )
+
+            # 生成临时文件名
+            text_hash = hashlib.md5(text.encode()).hexdigest()[:8]
+            filename = f"siliconflow_tts_{text_hash}.wav"
+
+            # 发送音频
+            await self.send_custom(
+                message_type="audio_file", 
+                content=audio_data,
+                filename=filename
+            )
+
+            await self.send_reply("✅ 语音合成完成！")
+            return True, "命令执行成功"
+
+        except Exception as e:
+            error_msg = f"❌ 语音合成失败: {str(e)}"
+            await self.send_reply(error_msg)
+            logger.error(f"{self.log_prefix} 命令执行失败: {e}")
+            return False, str(e)
+
+
+@register_plugin
+class SiliconFlowIndexTTSPlugin(BasePlugin):
+    """SiliconFlow IndexTTS插件主类"""
+
+    plugin_name = "siliconflow_api_index_tts"
+    plugin_description = "基于SiliconFlow API的IndexTTS语音合成插件"
+    plugin_version = "2.0.0"
+    plugin_author = "MoFox Studio"
+
+    # 必需的抽象属性
+    enable_plugin: bool = True
+    dependencies: list[str] = []
+    config_file_name: str = "config.toml"
+
+    # Python依赖
+    python_dependencies = ["aiohttp>=3.8.0"]
+
+    # 配置描述
+    config_section_descriptions = {
+        "plugin": "插件基本配置",
+        "components": "组件启用配置", 
+        "api": "SiliconFlow API配置",
+        "synthesis": "语音合成配置"
+    }
+
+    # 配置schema
+    config_schema = {
+        "plugin": {
+            "enabled": ConfigField(type=bool, default=False, description="是否启用插件"),
+            "config_version": ConfigField(type=str, default="2.0.0", description="配置文件版本"),
+        },
+        "components": {
+            "enable_action": ConfigField(type=bool, default=True, description="是否启用Action组件"),
+            "enable_command": ConfigField(type=bool, default=True, description="是否启用Command组件"),
+        },
+        "api": {
+            "api_key": ConfigField(type=str, default="", 
+                                  description="SiliconFlow API密钥（可选，优先使用全局配置）"),
+            "base_url": ConfigField(type=str, default="https://api.siliconflow.cn/v1/audio/speech", 
+                                   description="SiliconFlow TTS API地址"),
+            "timeout": ConfigField(type=int, default=60, description="API请求超时时间（秒）"),
+            "max_retries": ConfigField(type=int, default=3, description="API请求最大重试次数"),
+        },
+        "synthesis": {
+            "model": ConfigField(type=str, default="IndexTeam/IndexTTS-2", 
+                                description="TTS模型名称"),
+            "speed": ConfigField(type=float, default=1.0, 
+                               description="默认语速 (0.1-3.0)"),
+            "output_format": ConfigField(type=str, default="wav", 
+                                       description="输出音频格式"),
+        }
+    }
+
+    def get_plugin_components(self):
+        """获取插件组件"""
+        from src.plugin_system.base.component_types import ActionInfo, CommandInfo, ComponentType
+        
+        components = []
+        
+        # 检查配置是否启用组件
+        if self.get_config("components.enable_action", True):
+            action_info = ActionInfo(
+                name="siliconflow_indextts_action",
+                component_type=ComponentType.ACTION,
+                description="使用SiliconFlow API进行高质量的IndexTTS语音合成",
+                activation_keywords=["克隆语音", "模仿声音", "语音合成", "indextts", "声音克隆", "语音生成", "仿声", "变声"],
+                plugin_name=self.plugin_name
+            )
+            components.append((action_info, SiliconFlowIndexTTSAction))
+
+        if self.get_config("components.enable_command", True):
+            command_info = CommandInfo(
+                name="sf_tts",
+                component_type=ComponentType.COMMAND,
+                description="使用SiliconFlow IndexTTS进行语音合成",
+                plugin_name=self.plugin_name
+            )
+            components.append((command_info, SiliconFlowTTSCommand))
+
+        return components
+
+    async def on_plugin_load(self):
+        """插件加载时的回调"""
+        logger.info("SiliconFlow IndexTTS插件已加载")
+        
+        # 检查audio_reference目录
+        audio_dir = Path(self.plugin_path) / "audio_reference"
+        if not audio_dir.exists():
+            audio_dir.mkdir(parents=True, exist_ok=True)
+            logger.info(f"创建音频参考目录: {audio_dir}")
+
+        # 检查参考音频文件
+        refer_file = audio_dir / "refer.mp3"
+        if not refer_file.exists():
+            logger.warning(f"参考音频文件不存在: {refer_file}")
+            logger.info("请确保将自定义参考音频文件命名为 refer.mp3 并放置在 audio_reference 目录中")
+
+        # 检查API密钥配置（优先检查全局配置）
+        api_key = get_global_siliconflow_api_key()
+        if not api_key:
+            # 检查插件配置（兼容旧版本）
+            plugin_api_key = self.get_config("api.api_key", "")
+            if not plugin_api_key:
+                logger.warning("SiliconFlow API密钥未配置，请在全局配置 config/model_config.toml 中设置SiliconFlow API提供商")
+            else:
+                logger.info("检测到插件本地API密钥配置（建议迁移到全局配置）")
+        else:
+            logger.info("SiliconFlow API密钥配置检查通过")
+
+        # 你怎么知道我终于丢掉了我自己的脑子并使用了ai来帮我写代码的
+        # 我也不知道，反正我现在就这样干了（）
+
+    async def on_plugin_unload(self):
+        """插件卸载时的回调"""
+        logger.info("SiliconFlow IndexTTS插件已卸载")

src/plugins/built_in/siliconflow_api_index_tts/upload_voice.py

@@ -0,0 +1,169 @@
+#!/usr/bin/env python3
+"""
+SiliconFlow IndexTTS Voice Upload Tool
+用于上传参考音频文件并获取voice_id的工具脚本
+"""
+
+import asyncio
+import base64
+import logging
+import sys
+from pathlib import Path
+
+import aiohttp
+import toml
+
+
+# 设置日志
+logging.basicConfig(
+    level=logging.INFO,
+    format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
+)
+logger = logging.getLogger(__name__)
+
+
+class VoiceUploader:
+    """语音上传器"""
+    
+    def __init__(self, api_key: str):
+        self.api_key = api_key
+        self.upload_url = "https://api.siliconflow.cn/v1/uploads/audio/voice"
+        
+    async def upload_audio(self, audio_path: str) -> str:
+        """
+        上传音频文件并获取voice_id
+        
+        Args:
+            audio_path: 音频文件路径
+            
+        Returns:
+            voice_id: 返回的语音ID
+        """
+        audio_path = Path(audio_path)
+        if not audio_path.exists():
+            raise FileNotFoundError(f"音频文件不存在: {audio_path}")
+        
+        # 读取音频文件并转换为base64
+        with open(audio_path, "rb") as f:
+            audio_data = f.read()
+        
+        audio_base64 = base64.b64encode(audio_data).decode('utf-8')
+        
+        # 准备请求数据
+        request_data = {
+            "file": audio_base64,
+            "filename": audio_path
+        }
+        
+        headers = {
+            "Authorization": f"Bearer {self.api_key}",
+            "Content-Type": "application/json"
+        }
+        
+        logger.info(f"正在上传音频文件: {audio_path}")
+        logger.info(f"文件大小: {len(audio_data)} bytes")
+        
+        async with aiohttp.ClientSession() as session:
+            async with session.post(
+                self.upload_url,
+                headers=headers,
+                json=request_data,
+                timeout=aiohttp.ClientTimeout(total=60)
+            ) as response:
+                if response.status == 200:
+                    result = await response.json()
+                    voice_id = result.get("id")
+                    if voice_id:
+                        logger.info(f"上传成功！获取到voice_id: {voice_id}")
+                        return voice_id
+                    else:
+                        logger.error(f"上传响应中没有找到voice_id: {result}")
+                        raise Exception("上传响应中没有找到voice_id")
+                else:
+                    error_text = await response.text()
+                    logger.error(f"上传失败 (状态码: {response.status}): {error_text}")
+                    raise Exception(f"上传失败: {error_text}")
+
+
+def load_config(config_path: Path) -> dict:
+    """加载配置文件"""
+    if config_path.exists():
+        with open(config_path, 'r', encoding='utf-8') as f:
+            return toml.load(f)
+    return {}
+
+
+def save_config(config_path: Path, config: dict):
+    """保存配置文件"""
+    config_path.parent.mkdir(parents=True, exist_ok=True)
+    with open(config_path, 'w', encoding='utf-8') as f:
+        toml.dump(config, f)
+
+
+async def main():
+    """主函数"""
+    if len(sys.argv) != 2:
+        print("用法: python upload_voice.py <音频文件路径>")
+        print("示例: python upload_voice.py refer.mp3")
+        sys.exit(1)
+    
+    audio_file = sys.argv[1]
+    
+    # 获取插件目录
+    plugin_dir = Path(__file__).parent
+    
+    # 加载全局配置获取API key
+    bot_dir = plugin_dir.parents[2]  # 回到Bot目录
+    global_config_path = bot_dir / "config" / "model_config.toml"
+    
+    if not global_config_path.exists():
+        logger.error(f"全局配置文件不存在: {global_config_path}")
+        logger.error("请确保Bot/config/model_config.toml文件存在并配置了SiliconFlow API密钥")
+        sys.exit(1)
+    
+    global_config = load_config(global_config_path)
+    
+    # 从api_providers中查找SiliconFlow的API密钥
+    api_key = None
+    api_providers = global_config.get("api_providers", [])
+    for provider in api_providers:
+        if provider.get("name") == "SiliconFlow":
+            api_key = provider.get("api_key")
+            break
+    
+    if not api_key:
+        logger.error("在全局配置中未找到SiliconFlow API密钥")
+        logger.error("请在Bot/config/model_config.toml中添加SiliconFlow的api_providers配置:")
+        logger.error("[[api_providers]]")
+        logger.error("name = \"SiliconFlow\"")
+        logger.error("base_url = \"https://api.siliconflow.cn/v1\"")
+        logger.error("api_key = \"your_api_key_here\"")
+        logger.error("client_type = \"openai\"")
+        sys.exit(1)
+    
+    try:
+        # 创建上传器并上传音频
+        uploader = VoiceUploader(api_key)
+        voice_id = await uploader.upload_audio(audio_file)
+        
+        # 更新插件配置
+        plugin_config_path = plugin_dir / "config.toml"
+        plugin_config = load_config(plugin_config_path)
+        
+        if "synthesis" not in plugin_config:
+            plugin_config["synthesis"] = {}
+        
+        plugin_config["synthesis"]["voice_id"] = voice_id
+        
+        save_config(plugin_config_path, plugin_config)
+        
+        logger.info(f"配置已更新！voice_id已保存到: {plugin_config_path}")
+        logger.info("现在可以使用SiliconFlow IndexTTS插件了！")
+        
+    except Exception as e:
+        logger.error(f"上传失败: {e}")
+        sys.exit(1)
+
+
+if __name__ == "__main__":
+    asyncio.run(main())

src/plugins/phi_plugin/README.md

@@ -0,0 +1,110 @@
+# Phi Plugin for MoFox_Bot
+
+基于MoFox_Bot插件系统的Phigros查分插件，移植自原phi-plugin项目。
+
+## 插件化进展
+
+### ✅ 已完成
+1. **基础架构搭建**
+   - 创建了完整的插件目录结构
+   - 实现了_manifest.json和config.toml配置文件
+   - 建立了MoFox_Bot插件系统兼容的基础框架
+
+2. **命令系统迁移**
+   - 实现了5个核心命令的PlusCommand适配：
+     - `phi help` - 帮助命令
+     - `phi bind` - sessionToken绑定命令
+     - `phi b30` - Best30查询命令
+     - `phi info` - 个人信息查询命令
+     - `phi score` - 单曲成绩查询命令
+
+3. **数据管理模块**
+   - 创建了PhiDataManager用于数据处理
+   - 创建了PhiDatabaseManager用于数据库操作
+   - 设计了统一的数据访问接口
+
+4. **配置与元数据**
+   - 符合MoFox_Bot规范的manifest文件
+   - 支持功能开关的配置文件
+   - 完整的插件依赖管理
+
+### 🚧 待实现
+1. **核心功能逻辑**
+   - Phigros API调用实现
+   - sessionToken验证逻辑
+   - 存档数据解析处理
+   - B30等数据计算算法
+
+2. **数据存储**
+   - 用户token数据库存储
+   - 曲库数据导入
+   - 别名系统迁移
+
+3. **图片生成**
+   - B30成绩图片生成
+   - 个人信息卡片生成
+   - 单曲成绩展示图
+
+4. **高级功能**
+   - 更多原phi-plugin命令迁移
+   - 数据缓存优化
+   - 性能监控
+
+## 目录结构
+
+```
+src/plugins/phi_plugin/
+├── __init__.py                 # 插件初始化
+├── plugin.py                   # 主插件文件
+├── _manifest.json              # 插件元数据
+├── config.toml                 # 插件配置
+├── README.md                   # 本文档
+├── commands/                   # 命令实现
+│   ├── __init__.py
+│   ├── phi_help.py             # 帮助命令
+│   ├── phi_bind.py             # 绑定命令
+│   ├── phi_b30.py              # B30查询
+│   ├── phi_info.py             # 信息查询
+│   └── phi_score.py            # 单曲成绩
+├── utils/                      # 工具模块
+│   ├── __init__.py
+│   └── data_manager.py         # 数据管理器
+├── data/                       # 数据文件
+└── static/                     # 静态资源
+```
+
+## 使用方式
+
+### 命令列表
+- `/phi help` - 查看帮助
+- `/phi bind <token>` - 绑定sessionToken  
+- `/phi b30` - 查询Best30成绩
+- `/phi info [1|2]` - 查询个人信息
+- `/phi score <曲名>` - 查询单曲成绩
+
+### 配置说明
+编辑 `config.toml` 文件可以调整：
+- 插件启用状态
+- API相关设置
+- 功能开关
+
+## 技术特点
+
+1. **架构兼容**：完全符合MoFox_Bot插件系统规范
+2. **命令适配**：使用PlusCommand系统，支持别名和参数解析
+3. **模块化设计**：清晰的模块分离，便于维护和扩展
+4. **异步处理**：全面使用async/await进行异步处理
+5. **错误处理**：完善的异常处理和用户提示
+
+## 开发说明
+
+目前插件已完成基础架构搭建，可以在MoFox_Bot中正常加载和注册命令。
+
+下一步开发重点：
+1. 实现Phigros API调用逻辑
+2. 完成数据库存储功能
+3. 移植原插件的核心算法
+4. 实现图片生成功能
+
+## 原始项目
+基于 [phi-plugin](https://github.com/Catrong/phi-plugin) 进行插件化改造。