update:优化配置及文档

docs/Deployment.md

@@ -81,7 +81,7 @@ xiaozhi-server
 
 下载完后，回到本教程继续往下。
 
-##### 1.2.3.2 下载 config.yaml
+##### 1.2.3.2 创建 config.yaml
 
 用浏览器打开[这个链接](../main/xiaozhi-server/config.yaml)。
 
@@ -224,43 +224,36 @@ python app.py
 ## 配置项目
 
 如果你的`xiaozhi-server`目录没有`data`，你需要创建`data`目录。
-如果你的`data`下面没有`.config.yaml`文件，你可以把`xiaozhi-server`目录下的`config.yaml`文件复制到`data`，并重命名为`.config.yaml`
+如果你的`data`下面没有`.config.yaml`文件，有两个方式，任选一种：
 
-修改`xiaozhi-server`下`data`目录下的`.config.yaml`文件，配置本项目必须的一个配置。
+第一个方式：你可以把`xiaozhi-server`目录下的`config.yaml`文件复制到`data`，并重命名为`.config.yaml`。在此文件上修改
+
+第二个方式：你也可以创建在`data`目录下手动创建`.config.yaml`空文件，然后在这个文件中增加必要的配置信息，系统会优先读取`.config.yaml`文件的配置，如果`.config.yaml`没有配置的，系统会自动去加载`xiaozhi-server`目录下的`config.yaml`的配置。推荐使用这种方式，这种方式是最简洁的方式。
 
 - 默认的LLM使用的是`ChatGLMLLM`，你需要配置密钥，因为他们的模型，虽然有免费的，但是仍要去[官网](https://bigmodel.cn/usercenter/proj-mgmt/apikeys)注册密钥，才能启动。
 
-配置说明：这里是各个功能使用的默认组件，例如LLM默认使用`ChatGLMLLM`模型。如果需要切换模型，就是改对应的名称。
+以下是一个能正常跑起来的，最简单的`.config.yaml`配置示例
-本项目的默认配置仅是成本最低配置（`glm-4-flash`和`EdgeTTS`都是免费的），如果需要更优的更快的搭配，需要自己结合部署环境切换各组件的使用。
 
 ```
+server:
+  websocket: ws://你的ip或者域名:端口号/xiaozhi/v1/
+prompt: |
+  我是一个叫小智/小志的台湾女孩，说话机车，声音好听，习惯简短表达，爱用网络梗。
+  我的男朋友是一个程序员，梦想是开发出一个机器人，能够帮助人们解决生活中的各种问题。
+  我是一个喜欢哈哈大笑的女孩，爱东说西说吹牛，不合逻辑的也照吹，就要逗别人开心。
+  请你像一个人一样说话，请勿返回配置xml及其他特殊字符。
+
 selected_module:
-  VAD: SileroVAD
+  LLM: DoubaoLLM
-  ASR: FunASR
-  LLM: ChatGLMLLM
-  TTS: EdgeTTS
-  # 默认不开启记忆，如需开启请看配置文件里的描述
-  Memory: nomem
-  # 默认不开启意图识别，如需开启请看配置文件里的描述
-  Intent: nointent
-```
 
-比如修改`LLM`使用的组件，就看本项目支持哪些`LLM` API接口，当前支持的是`openai`、`dify`。欢迎验证和支持更多LLM平台的接口。
-使用时，在`selected_module`修改成对应的如下LLM配置的名称：
-
-```
 LLM:
-  DeepSeekLLM:
-    type: openai
-    ...
   ChatGLMLLM:
-    type: openai
+    api_key: xxxxxxxxxxxxxxx.xxxxxx
-    ...
-  DifyLLM:
-    type: dify
-    ...
 ```
 
+建议先将最简单的配置运行起来，然后再去`xiaozhi/config.yaml`阅读配置的使用说明。
+比如你要换更换模型，修改`selected_module`下的配置就行。
+
 ## 模型文件
 
 本项目语音识别模型，默认使用`SenseVoiceSmall`模型，进行语音转文字。因为模型较大，需要独立下载，下载后把`model.pt`

main/manager-api/src/main/java/xiaozhi/modules/config/dto/AgentModelsDTO.java

@@ -10,9 +10,6 @@ import lombok.Data;
 @Data
 @Schema(description = "获取智能体模型配置DTO")
 public class AgentModelsDTO {
-    @NotBlank(message = "密钥不能为空")
-    @Schema(description = "密钥")
-    private String secret;
 
     @NotBlank(message = "设备MAC地址不能为空")
     @Schema(description = "设备MAC地址")

main/manager-api/src/main/java/xiaozhi/modules/security/secret/ServerSecretFilter.java

@@ -2,8 +2,6 @@ package xiaozhi.modules.security.secret;
 
 import java.io.IOException;
 
-import lombok.RequiredArgsConstructor;
-import lombok.extern.slf4j.Slf4j;
 import org.apache.commons.lang3.StringUtils;
 import org.apache.shiro.web.filter.authc.AuthenticatingFilter;
 import org.springframework.web.bind.annotation.RequestMethod;
@@ -12,6 +10,8 @@ import jakarta.servlet.ServletRequest;
 import jakarta.servlet.ServletResponse;
 import jakarta.servlet.http.HttpServletRequest;
 import jakarta.servlet.http.HttpServletResponse;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
 import xiaozhi.common.constant.Constant;
 import xiaozhi.common.exception.ErrorCode;
 import xiaozhi.common.utils.HttpContextUtils;
@@ -55,7 +55,7 @@ public class ServerSecretFilter extends AuthenticatingFilter {
         String token = getRequestToken((HttpServletRequest) servletRequest);
         if (StringUtils.isBlank(token)) {
             // token为空，返回401
-            this.sendUnauthorizedResponse((HttpServletResponse) servletResponse, "Authorization token不能为空");
+            this.sendUnauthorizedResponse((HttpServletResponse) servletResponse, "服务器密钥不能为空");
             return false;
         }
 
@@ -63,7 +63,7 @@ public class ServerSecretFilter extends AuthenticatingFilter {
         String serverSecret = getServerSecret();
         if (StringUtils.isBlank(serverSecret) || !serverSecret.equals(token)) {
             // token无效，返回401
-            this.sendUnauthorizedResponse((HttpServletResponse) servletResponse, "无效的Authorization token");
+            this.sendUnauthorizedResponse((HttpServletResponse) servletResponse, "无效的服务器密钥");
             return false;
         }
 
@@ -77,7 +77,7 @@ public class ServerSecretFilter extends AuthenticatingFilter {
         response.setContentType("application/json;charset=utf-8");
         response.setHeader("Access-Control-Allow-Credentials", "true");
         response.setHeader("Access-Control-Allow-Origin", HttpContextUtils.getOrigin());
-        
+
         try {
             String json = JsonUtils.toJsonString(new Result<Void>().error(ErrorCode.UNAUTHORIZED, message));
             response.getWriter().print(json);
@@ -102,4 +102,4 @@ public class ServerSecretFilter extends AuthenticatingFilter {
     private String getServerSecret() {
         return sysParamsService.getValue(Constant.SERVER_SECRET, true);
     }
-} 
+}

main/manager-api/src/main/resources/db/changelog/202504082211.sql

@@ -25,7 +25,7 @@ INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `f
 
 -- TTS模型供应器
 ('SYSTEM_TTS_edge', 'TTS', 'edge', 'Edge TTS', '[{"key":"voice","label":"音色","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"}]', 1, 1, NOW(), 1, NOW()),
-('SYSTEM_TTS_doubao', 'TTS', 'doubao', '火山引擎TTS', '[{"key": "api_url","label": "API地址","type": "string"},{"key": "voice","label": "音色","type": "string"},{"key": "output_dir","label": "输出目录","type": "string"},{"key": "authorization","label": "授权","type": "string"},{"key": "appid","label": "应用ID","type": "string"},{"key": "access_token","label": "访问令牌","type": "string"},{"key": "cluster","label": "集群","type": "string"},{"key": "speed_ratio","label": "语速","type": "number"},{"key": "volume_ratio","label": "音量","type": "number"},{"key": "pitch_ratio","label": "音高","type": "number"}]', 2, 1, NOW(), 1, NOW()),
+('SYSTEM_TTS_doubao', 'TTS', 'doubao', '火山引擎TTS', '[{"key":"api_url","label":"API地址","type":"string"},{"key":"voice","label":"音色","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"authorization","label":"授权","type":"string"},{"key":"appid","label":"应用ID","type":"string"},{"key":"access_token","label":"访问令牌","type":"string"},{"key":"cluster","label":"集群","type":"string"}]', 2, 1, NOW(), 1, NOW()),
 ('SYSTEM_TTS_siliconflow', 'TTS', 'siliconflow', '硅基流动TTS', '[{"key":"model","label":"模型","type":"string"},{"key":"voice","label":"音色","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"access_token","label":"访问令牌","type":"string"},{"key":"response_format","label":"响应格式","type":"string"}]', 3, 1, NOW(), 1, NOW()),
 ('SYSTEM_TTS_cozecn', 'TTS', 'cozecn', 'COZECN TTS', '[{"key":"voice","label":"音色","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"access_token","label":"访问令牌","type":"string"},{"key":"response_format","label":"响应格式","type":"string"}]', 4, 1, NOW(), 1, NOW()),
 ('SYSTEM_TTS_fishspeech', 'TTS', 'fishspeech', 'FishSpeech TTS', '[{"key":"output_dir","label":"输出目录","type":"string"},{"key":"response_format","label":"响应格式","type":"string"},{"key":"reference_id","label":"参考ID","type":"string"},{"key":"reference_audio","label":"参考音频","type":"dict","dict_name":"reference_audio"},{"key":"reference_text","label":"参考文本","type":"dict","dict_name":"reference_text"},{"key":"normalize","label":"是否标准化","type":"boolean"},{"key":"max_new_tokens","label":"最大新令牌数","type":"number"},{"key":"chunk_length","label":"块长度","type":"number"},{"key":"top_p","label":"top_p值","type":"number"},{"key":"repetition_penalty","label":"重复惩罚","type":"number"},{"key":"temperature","label":"温度","type":"number"},{"key":"streaming","label":"是否流式","type":"boolean"},{"key":"use_memory_cache","label":"是否使用内存缓存","type":"string"},{"key":"seed","label":"种子","type":"number"},{"key":"channels","label":"通道数","type":"number"},{"key":"rate","label":"采样率","type":"number"},{"key":"api_key","label":"API密钥","type":"string"},{"key":"api_url","label":"API地址","type":"string"}]', 5, 1, NOW(), 1, NOW()),

main/manager-api/src/main/resources/db/changelog/202504301339.sql

@@ -0,0 +1,3 @@
+update `ai_model_provider` set `fields` = 
+'[{"key": "api_url","label": "API地址","type": "string"},{"key": "voice","label": "音色","type": "string"},{"key": "output_dir","label": "输出目录","type": "string"},{"key": "authorization","label": "授权","type": "string"},{"key": "appid","label": "应用ID","type": "string"},{"key": "access_token","label": "访问令牌","type": "string"},{"key": "cluster","label": "集群","type": "string"},{"key": "speed_ratio","label": "语速","type": "number"},{"key": "volume_ratio","label": "音量","type": "number"},{"key": "pitch_ratio","label": "音高","type": "number"}]'
+where `id` = 'SYSTEM_TTS_doubao';

main/manager-api/src/main/resources/db/changelog/db.changelog-master.yaml

@@ -85,4 +85,11 @@ databaseChangeLog:
       changes:
         - sqlFile:
             encoding: utf8
-            path: classpath:db/changelog/202504291043.sql
+            path: classpath:db/changelog/202504291043.sql
+  - changeSet:
+      id: 202504301339
+      author: Goody
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202504301339.sql

main/xiaozhi-server/app.py

@@ -1,7 +1,7 @@
 import asyncio
 import sys
 import signal
-from config.settings import load_config, check_config_file
+from config.settings import load_config
 from core.websocket_server import WebSocketServer
 from core.ota_server import SimpleOtaServer
 from core.utils.util import check_ffmpeg_installed
@@ -31,7 +31,6 @@ async def wait_for_exit():
 
 
 async def main():
-    check_config_file()
     check_ffmpeg_installed()
     config = load_config()
 

main/xiaozhi-server/config.yaml

@@ -1,7 +1,7 @@
-# 如果您是一名开发者，建议阅读以下内容。如果不是开发者，可以忽略这部分内容。
+# 在开发中，请在项目根目录创建data目录，然后在data目录创建名称为【.config.yaml】的空文件
-# 在开发中，在项目根目录创建data目录，将【config.yaml】复制一份，改成【.config.yaml】，放进data目录中
+# 然后你想修改覆盖修改什么配置，就修改【.config.yaml】文件，而不是修改【config.yaml】文件
-# 系统会优先读取【data/.config.yaml】文件的配置。
+# 系统会优先读取【data/.config.yaml】文件的配置，如果【.config.yaml】文件里的配置不存在，系统会自动去读取【config.yaml】文件的配置。
-# 这样做，可以避免在提交代码的时候，错误地提交密钥信息，保护您的密钥安全。
+# 这样做，可以最简化配置，保护您的密钥安全。
 
 # #####################################################################################
 # #############################以下是服务器基本运行配置####################################
@@ -158,7 +158,7 @@ selected_module:
   # 不想开通意图识别，就设置成：nointent
   # 意图识别可使用intent_llm。优点：通用性强，缺点：增加串行前置意图识别模块，会增加处理时间，这个意图识别暂时不支持控制音量大小等iot操作
   # 意图识别可使用function_call，缺点：需要所选择的LLM支持function_call，优点：按需调用工具、速度快，理论上能全部操作所有iot指令
-  # 默认免费的ChatGLMLLM就已经支持function_call，但是如果像追求稳定建议把LLM设置成：DoubaoLLM，使用的具体model_name是：doubao-pro-32k-functioncall-241028
+  # 默认免费的ChatGLMLLM就已经支持function_call，但是如果像追求稳定建议把LLM设置成：DoubaoLLM，使用的具体model_name是：doubao-1-5-pro-32k-250115
   Intent: function_call
 
 # 意图识别，是用于理解用户意图的模块，例如：播放音乐

main/xiaozhi-server/config/config_loader.py

@@ -31,37 +31,19 @@ def load_config():
 
     # 加载默认配置
     default_config = read_config(default_config_path)
+    custom_config = read_config(custom_config_path)
 
-    # 加载用户自定义配置（如果存在）
+    if custom_config.get("manager-api", {}).get("url"):
-    if os.path.exists(custom_config_path):
+        config = get_config_from_api(custom_config)
-        custom_config = read_config(custom_config_path)
+    else:
         # 合并配置
         config = merge_configs(default_config, custom_config)
-    else:
-        config = default_config
-
-    if config.get("manager-api", {}).get("url"):
-        config = get_config_from_api(config)
-
     # 初始化目录
     ensure_directories(config)
     _config_cache = config
     return config
 
 
-def get_config_file():
-    """获取配置文件路径，优先使用私有配置文件（若存在）。
-
-    Returns:
-       str: 配置文件路径（相对路径或默认路径）
-    """
-    default_config_file = "config.yaml"
-    config_file = default_config_file
-    if os.path.exists(get_project_dir() + "data/." + default_config_file):
-        config_file = "data/." + default_config_file
-    return config_file
-
-
 def get_config_from_api(config):
     """从Java API获取配置"""
     # 初始化API客户端
@@ -128,23 +110,29 @@ def ensure_directories(config):
 def merge_configs(default_config, custom_config):
     """
     递归合并配置，custom_config优先级更高
-    
+
     Args:
         default_config: 默认配置
         custom_config: 用户自定义配置
-        
+
     Returns:
         合并后的配置
     """
-    if not isinstance(default_config, Mapping) or not isinstance(custom_config, Mapping):
+    if not isinstance(default_config, Mapping) or not isinstance(
+        custom_config, Mapping
+    ):
         return custom_config
-    
+
     merged = dict(default_config)
-    
+
     for key, value in custom_config.items():
-        if key in merged and isinstance(merged[key], Mapping) and isinstance(value, Mapping):
+        if (
+            key in merged
+            and isinstance(merged[key], Mapping)
+            and isinstance(value, Mapping)
+        ):
             merged[key] = merge_configs(merged[key], value)
         else:
             merged[key] = value
-            
+
-    return merged
+    return merged

main/xiaozhi-server/config/logger.py

@@ -2,6 +2,7 @@ import os
 import sys
 from loguru import logger
 from config.config_loader import load_config
+from config.settings import check_config_file
 
 SERVER_VERSION = "0.3.13"
 
@@ -32,6 +33,7 @@ def formatter(record):
 
 
 def setup_logging():
+    check_config_file()
     """从配置文件中读取日志配置，并设置日志输出格式和级别"""
     config = load_config()
     log_config = config["log"]

main/xiaozhi-server/config/settings.py

@@ -1,53 +1,33 @@
 import os
-from collections.abc import Mapping
-from config import logger
 from config.config_loader import read_config, get_project_dir, load_config
 
-TAG = __name__
-logger = logger.setup_logging()
 
 default_config_file = "config.yaml"
-
+config_file_valid = False
-
-def find_missing_keys(new_config, old_config, parent_key=""):
-    """
-    递归查找缺失的配置项
-    返回格式：[缺失配置路径]
-    """
-    missing_keys = []
-
-    if not isinstance(new_config, Mapping):
-        return missing_keys
-
-    for key, value in new_config.items():
-        # 构建当前配置路径
-        full_path = f"{parent_key}.{key}" if parent_key else key
-
-        # 检查键是否存在
-        if key not in old_config:
-            missing_keys.append(full_path)
-            continue
-
-        # 递归检查嵌套字典
-        if isinstance(value, Mapping):
-            sub_missing = find_missing_keys(
-                value, old_config[key], parent_key=full_path
-            )
-            missing_keys.extend(sub_missing)
-    return missing_keys
 
 
 def check_config_file():
+    global config_file_valid
+    if config_file_valid:
+        return
     """
     简化的配置检查，仅提示用户配置文件的使用情况
     """
     custom_config_file = get_project_dir() + "data/." + default_config_file
     if not os.path.exists(custom_config_file):
-        logger.bind(tag=TAG).info("提示: 使用默认配置文件。如需自定义配置，请创建 data/.config.yaml 文件")
+        raise FileNotFoundError(
-    else:
+            "找不到data/.config.yaml文件，请按教程确认该配置文件是否存在"
-        logger.bind(tag=TAG).info(f"提示: 使用自定义配置文件 data/.config.yaml，配置将覆盖默认值")
+        )
-    
+
     # 检查是否从API读取配置
     config = load_config()
     if config.get("read_config_from_api", False):
-        logger.bind(tag=TAG).info("提示: 从API获取配置")
+        print("从API读取配置")
+        old_config_origin = read_config(custom_config_file)
+        if old_config_origin.get("selected_module") is not None:
+            error_msg = "您的配置文件好像既包含智控台的配置又包含本地配置：\n"
+            error_msg += "\n建议您：\n"
+            error_msg += "1、将根目录的config_from_api.yaml文件复制到data下，重命名为.config.yaml\n"
+            error_msg += "2、按教程配置好接口地址和密钥\n"
+            raise ValueError(error_msg)
+    config_file_valid = True

main/xiaozhi-server/core/handle/textHandle.py

@@ -53,6 +53,8 @@ async def handleTextMessage(conn, message):
                         # 如果是唤醒词，且关闭了唤醒词回复，就不用回答
                         await send_stt_message(conn, text)
                         await send_tts_message(conn, "stop", None)
+                    elif is_wakeup_words:
+                        await startToChat(conn, "嘿，你好呀")
                     else:
                         # 否则需要LLM对文字内容进行答复
                         await startToChat(conn, text)

main/xiaozhi-server/core/providers/tts/doubao.py

@@ -27,9 +27,14 @@ class TTSProvider(TTSProviderBase):
         else:
             self.voice = config.get("voice")
 
-        self.speed_ratio = float(config.get("speed_ratio", 0.1))
+        # 处理空字符串的情况
-        self.volume_ratio = float(config.get("volume_ratio", 0.1))
+        speed_ratio = config.get("speed_ratio", "1.0")
-        self.pitch_ratio = float(config.get("pitch_ratio", 0.1))
+        volume_ratio = config.get("volume_ratio", "1.0")
+        pitch_ratio = config.get("pitch_ratio", "1.0")
+
+        self.speed_ratio = float(speed_ratio) if speed_ratio else 1.0
+        self.volume_ratio = float(volume_ratio) if volume_ratio else 1.0
+        self.pitch_ratio = float(pitch_ratio) if pitch_ratio else 1.0
 
         self.api_url = config.get("api_url")
         self.authorization = config.get("authorization")

main/xiaozhi-server/core/providers/tts/fishspeech.py

@@ -89,18 +89,35 @@ class TTSProvider(TTSProviderBase):
         self.reference_audio = parse_string_to_list(config.get("reference_audio"))
         self.reference_text = parse_string_to_list(config.get("reference_text"))
         self.format = config.get("format", "wav")
-        self.channels = int(config.get("channels", 1))
+
-        self.rate = int(config.get("rate", 44100))
         self.api_key = config.get("api_key", "YOUR_API_KEY")
         have_key = check_model_key("FishSpeech TTS", self.api_key)
         if not have_key:
             return
         self.normalize = config.get("normalize", True)
-        self.max_new_tokens = int(config.get("max_new_tokens", 1024))
+
-        self.chunk_length = int(config.get("chunk_length", 200))
+        # 处理空字符串的情况
-        self.top_p = float(config.get("top_p", 0.7))
+        channels = config.get("channels", "1")
-        self.repetition_penalty = float(config.get("repetition_penalty", 1.2))
+        rate = config.get("rate", "44100")
-        self.temperature = float(config.get("temperature", 0.7))
+        max_new_tokens = config.get("max_new_tokens", "1024")
+        chunk_length = config.get("chunk_length", "200")
+
+        self.channels = int(channels) if channels else 1
+        self.rate = int(rate) if rate else 44100
+        self.max_new_tokens = int(max_new_tokens) if max_new_tokens else 1024
+        self.chunk_length = int(chunk_length) if chunk_length else 200
+
+        # 处理空字符串的情况
+        top_p = config.get("top_p", "0.7")
+        temperature = config.get("temperature", "0.7")
+        repetition_penalty = config.get("repetition_penalty", "1.2")
+
+        self.top_p = float(top_p) if top_p else 0.7
+        self.temperature = float(temperature) if temperature else 0.7
+        self.repetition_penalty = (
+            float(repetition_penalty) if repetition_penalty else 1.2
+        )
+
         self.streaming = str(config.get("streaming", False)).lower() in (
             "true",
             "1",

main/xiaozhi-server/core/providers/tts/gpt_sovits_v2.py

@@ -20,12 +20,29 @@ class TTSProvider(TTSProviderBase):
         self.ref_audio_path = config.get("ref_audio_path")
         self.prompt_text = config.get("prompt_text")
         self.prompt_lang = config.get("prompt_lang", "zh")
-        self.top_k = int(config.get("top_k", 5))
+
-        self.top_p = float(config.get("top_p", 1))
+        # 处理空字符串的情况
-        self.temperature = float(config.get("temperature", 1))
+        top_k = config.get("top_k", "5")
+        top_p = config.get("top_p", "1")
+        temperature = config.get("temperature", "1")
+        batch_threshold = config.get("batch_threshold", "0.75")
+        batch_size = config.get("batch_size", "1")
+        speed_factor = config.get("speed_factor", "1.0")
+        seed = config.get("seed", "-1")
+        repetition_penalty = config.get("repetition_penalty", "1.35")
+
+        self.top_k = int(top_k) if top_k else 5
+        self.top_p = float(top_p) if top_p else 1
+        self.temperature = float(temperature) if temperature else 1
+        self.batch_threshold = float(batch_threshold) if batch_threshold else 0.75
+        self.batch_size = int(batch_size) if batch_size else 1
+        self.speed_factor = float(speed_factor) if speed_factor else 1.0
+        self.seed = int(seed) if seed else -1
+        self.repetition_penalty = (
+            float(repetition_penalty) if repetition_penalty else 1.35
+        )
+
         self.text_split_method = config.get("text_split_method", "cut0")
-        self.batch_size = int(config.get("batch_size", 1))
-        self.batch_threshold = float(config.get("batch_threshold", 0.75))
 
         self.split_bucket = str(config.get("split_bucket", True)).lower() in (
             "true",
@@ -37,19 +54,19 @@ class TTSProvider(TTSProviderBase):
             "1",
             "yes",
         )
-        self.speed_factor = float(config.get("speed_factor", 1.0))
+
         self.streaming_mode = str(config.get("streaming_mode", False)).lower() in (
             "true",
             "1",
             "yes",
         )
-        self.seed = int(config.get("seed", -1))
+
         self.parallel_infer = str(config.get("parallel_infer", True)).lower() in (
             "true",
             "1",
             "yes",
         )
-        self.repetition_penalty = float(config.get("repetition_penalty", 1.35))
+
         self.aux_ref_audio_paths = parse_string_to_list(
             config.get("aux_ref_audio_paths")
         )

main/xiaozhi-server/core/providers/tts/gpt_sovits_v3.py

@@ -18,13 +18,22 @@ class TTSProvider(TTSProviderBase):
         self.prompt_text = config.get("prompt_text")
         self.prompt_language = config.get("prompt_language")
         self.text_language = config.get("text_language", "audo")
-        self.top_k = int(config.get("top_k", 15))
+
-        self.top_p = float(config.get("top_p", 1.0))
+        # 处理空字符串的情况
-        self.temperature = float(config.get("temperature", 1.0))
+        top_k = config.get("top_k", "15")
+        top_p = config.get("top_p", "1.0")
+        temperature = config.get("temperature", "1.0")
+        sample_steps = config.get("sample_steps", "32")
+        speed = config.get("speed", "1.0")
+
+        self.top_k = int(top_k) if top_k else 15
+        self.top_p = float(top_p) if top_p else 1.0
+        self.temperature = float(temperature) if temperature else 1.0
+        self.sample_steps = int(sample_steps) if sample_steps else 32
+        self.speed = float(speed) if speed else 1.0
+
         self.cut_punc = config.get("cut_punc", "")
-        self.speed = float(config.get("speed", 1.0))
         self.inp_refs = parse_string_to_list(config.get("inp_refs"))
-        self.sample_steps = int(config.get("sample_steps", 32))
         self.if_sr = str(config.get("if_sr", False)).lower() in ("true", "1", "yes")
 
     def generate_filename(self, extension=".wav"):

main/xiaozhi-server/core/providers/tts/openai.py

@@ -21,7 +21,11 @@ class TTSProvider(TTSProviderBase):
         else:
             self.voice = config.get("voice", "alloy")
         self.response_format = "wav"
-        self.speed = float(config.get("speed", 1.0))
+
+        # 处理空字符串的情况
+        speed = config.get("speed", "1.0")
+        self.speed = float(speed) if speed else 1.0
+
         self.output_file = config.get("output_dir", "tmp/")
         check_model_key("TTS", self.api_key)
 

main/xiaozhi-server/core/providers/vad/silero.py

@@ -21,8 +21,15 @@ class VADProvider(VADProviderBase):
         (get_speech_timestamps, _, _, _, _) = self.utils
 
         self.decoder = opuslib_next.Decoder(16000, 1)
-        self.vad_threshold = float(config.get("threshold", 0.5))
+
-        self.silence_threshold_ms = int(config.get("min_silence_duration_ms", 1000))
+        # 处理空字符串的情况
+        threshold = config.get("threshold", "0.5")
+        min_silence_duration_ms = config.get("min_silence_duration_ms", "1000")
+
+        self.vad_threshold = float(threshold) if threshold else 0.5
+        self.silence_threshold_ms = (
+            int(min_silence_duration_ms) if min_silence_duration_ms else 1000
+        )
 
     def is_vad(self, conn, opus_packet):
         try: