Merge pull request #2695 from xinnan-tech/py_device_bind

update: 未绑定设备策略优化

docs/FAQ.md

@@ -80,6 +80,7 @@ VAD:
 7、[如何开启声纹识别](./voiceprint-integration.md)<br/>
 8、[新闻插件源配置指南](./newsnow_plugin_config.md)<br/>
 9、[知识库ragflow集成指南](./ragflow-integration.md)<br/>
+10、[如何部署上下文源](./context-provider-integration.md)<br/>
 
 ### 11、语音克隆、本地语音部署相关教程
 1、[如何在智控台克隆音色](./huoshan-streamTTS-voice-cloning.md)<br/>

docs/context-provider-integration.md

@@ -0,0 +1,224 @@
+# 上下文源使用教程
+
+## 概述
+
+`上下文源`，就是为小智系统提示词的上下文添加【数据源】。
+
+`上下文源` 在小智在唤醒那一刻，获取外部系统的数据，并将其动态注入到大模型的系统提示词（System Prompt）中。
+让其做到唤醒时感知世界某个事物的状态。
+
+它和MCP、记忆有本质的区别：`上下文源`是强制让小智感知世界的数据；`记忆(Mem)`是让他知道之前聊了什么内容；`MCP(functionc all)`是当需要调用某项能力/知识的时候使用调用。
+
+通过这个功能，在小智唤醒的一刹那，“感知”到：
+- 人体健康传感器状态（体温、血压、血氧状态等）
+- 业务系统的实时数据（服务器负载、待办数据、股票信息等）
+- 任何可以通过 HTTP API 获取的文本信息
+
+**注意**：该功能只是方便小智在唤醒的时候感知事物的状态，而如果想要小智唤醒后实时获取事物的状态，建议在此功能上再结合MCP工具的调用。
+
+## 工作原理
+
+1. **配置源**：用户配置一个或多个 HTTP API 地址。
+2. **触发请求**：当系统构建 Prompt 时，如果发现模板中包含 `{{ dynamic_context }}` 占位符，会请求所有配置的 API。
+3. **自动注入**：系统会自动将 API 返回的数据格式化为 Markdown 列表，替换 `{{ dynamic_context }}` 占位符。
+
+## 接口规范
+
+为了让小智正确解析数据，您的 API 需要满足以下规范：
+
+- **请求方式**：`GET`
+- **请求头**：系统会自动添加 `device-id` 字段到 Request Header。
+- **响应格式**：必须返回 JSON 格式，且包含 `code` 和 `data` 字段。
+
+### 响应示例
+
+**情况 1：返回键值对**
+```json
+{
+  "code": 0,
+  "msg": "success",
+  "data": {
+    "客厅温度": "26℃",
+    "客厅湿度": "45%",
+    "大门状态": "已关闭"
+  }
+}
+```
+*注入效果：*
+```markdown
+<context>
+- **客厅温度：** 26℃
+- **客厅湿度：** 45%
+- **大门状态：** 已关闭
+</context>
+```
+
+**情况 2：返回列表**
+```json
+{
+  "code": 0,
+  "data": [
+    "您有10个待办事项",
+    "当前汽车的行驶速度是100km每小时"
+  ]
+}
+```
+*注入效果：*
+```markdown
+<context>
+- 您有10个待办事项
+- 当前汽车的行驶速度是100km每小时
+</context>
+```
+
+## 配置指南
+
+### 方式 1：智控台配置（全模块部署）
+
+1. 登录智控台，进入**角色配置**页面。
+2. 找到**上下文源**配置项（点击“编辑源”按钮）。
+3. 点击**添加**，输入您的 API 地址。
+4. 如果 API 需要鉴权，可以在**请求头**部分添加 `Authorization` 或其他 Header。
+5. 保存配置。
+
+### 方式 2：配置文件配置（单模块部署）
+
+编辑 `xiaozhi-server/data/.config.yaml` 文件，添加 `context_providers` 配置段：
+
+```yaml
+# 上下文源配置
+context_providers:
+  - url: "http://api.example.com/data"
+    headers:
+      Authorization: "Bearer your-token"
+  - url: "http://another-api.com/data"
+```
+
+## 启用功能
+
+默认情况下，系统的提示词模板文件（`data/.agent-base-prompt.txt`）中已经预置了 `{{ dynamic_context }}` 占位符，您无需手动添加。
+
+**示例：**
+
+```markdown
+<context>
+【重要！以下信息已实时提供，无需调用工具查询，请直接使用：】
+- **设备ID：** {{device_id}}
+- **当前时间：** {{current_time}}
+...
+{{ dynamic_context }}
+</context>
+```
+
+**注意**：如果您不需要使用此功能，可以选择**不配置任何上下文源**，也可以从提示词模板文件中**删除** `{{ dynamic_context }}` 占位符。
+
+## 附录：Mock 测试服务示例
+
+为了方便您测试和开发，我们提供了一个简单的 Python Mock Server 脚本。您可以运行此脚本在本地模拟 API 接口。
+
+**mock_api_server.py**
+
+```python
+import http.server
+import socketserver
+import json
+from urllib.parse import urlparse, parse_qs
+
+# 设置端口号
+PORT = 8081
+
+class MockRequestHandler(http.server.SimpleHTTPRequestHandler):
+    def do_GET(self):
+        # 解析路径和参数
+        parsed_path = urlparse(self.path)
+        path = parsed_path.path
+        query = parse_qs(parsed_path.query)
+
+        response_data = {}
+        status_code = 200
+
+        print(f"收到请求: {path}, 参数: {query}")
+
+        # Case 1: 模拟健康数据 (返回字典 Dict)
+        # 路径参数风格: /health
+        # device_id 从 Header 获取
+        if path == "/health":
+            device_id = self.headers.get("device-id", "unknown_device")
+            print(f"device_id: {device_id}")
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": {
+                    "测试设备ID": device_id,
+                    "心率": "80 bpm",
+                    "血压": "120/80 mmHg",
+                    "状态": "良好"
+                }
+            }
+
+        # Case 2: 模拟新闻列表 (返回列表 List)
+        # 无参数: /news/list
+        elif path == "/news/list":
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": [
+                    "今日头条：Python 3.14 发布",
+                    "科技新闻：AI 助手改变生活",
+                    "本地新闻：明日有大雨，记得带伞"
+                ]
+            }
+
+        # Case 3: 模拟天气简报 (返回字符串 String)
+        # 无参数: /weather/simple
+        elif path == "/weather/simple":
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": "今日晴转多云，气温 20-25 度，空气质量优，适合出行。"
+            }
+
+        # Case 4: 模拟设备详情 (Query参数风格)
+        # 参数风格: /device/info
+        # device_id 从 Header 获取
+        elif path == "/device/info":
+            device_id = self.headers.get("device-id", "unknown_device")
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": {
+                    "查询方式": "Header参数",
+                    "设备ID": device_id,
+                    "电量": "85%",
+                    "固件": "v2.0.1"
+                }
+            }
+        
+        # Case 5: 404 Not Found
+        else:
+            status_code = 404
+            response_data = {"error": "接口不存在"}
+
+        # 发送响应
+        self.send_response(status_code)
+        self.send_header('Content-type', 'application/json; charset=utf-8')
+        self.end_headers()
+        self.wfile.write(json.dumps(response_data, ensure_ascii=False).encode('utf-8'))
+
+# 启动服务
+# 允许地址重用，防止快速重启报错
+socketserver.TCPServer.allow_reuse_address = True
+with socketserver.TCPServer(("", PORT), MockRequestHandler) as httpd:
+    print(f"==================================================")
+    print(f"Mock API Server 已启动: http://localhost:{PORT}")
+    print(f"可用接口列表:")
+    print(f"1. [字典] http://localhost:{PORT}/health")
+    print(f"2. [列表] http://localhost:{PORT}/news/list")
+    print(f"3. [文本] http://localhost:{PORT}/weather/simple")
+    print(f"4. [参数] http://localhost:{PORT}/device/info")
+    print(f"==================================================")
+    try:
+        httpd.serve_forever()
+    except KeyboardInterrupt:
+        print("\n服务已停止")
+```

docs/mcp-endpoint-enable.md

@@ -71,6 +71,7 @@ docker logs -f mcp-endpoint-server
 请你保留好上面两个`接口地址`，下一步要用到。
 
 # 2、全模块部署时，怎么配置MCP接入点
+首先，你要开启MCP接入点功能。在智控台，点击顶部`参数字典`，在下拉菜单中，点击`系统功能配置`页面。在页面上勾选`MCP接入点`，点击`保存配置`。在`角色配置`页面，点击`编辑功能`按钮，即可看到`mcp接入点`功能。
 
 如果你是全模块部署，使用管理员账号，登录智控台，点击顶部`参数字典`，选择`参数管理`功能。
 

docs/ragflow-integration.md

@@ -238,9 +238,11 @@ docker-compose -f docker-compose.yml up -d
 在弹框中，点击"Create new Key"按钮，生成一个API Key。复制这个`API Key`，你稍后会用到。
 
 # 第二步 配置到智控台
-确保你的智控台版本是`0.8.7`或以上。使用超级管理员账号登录到智控台。在顶部导航栏中，点击`模型配置`，在左侧导航栏中，点击`知识库`。
+确保你的智控台版本是`0.8.7`或以上。使用超级管理员账号登录到智控台。
 
-在列表中找到`RAG_RAGFlow`，点击`编辑`按钮。
+首先，你要先开启知识库功能。在顶部导航栏中，点击`参数字典`，在下拉菜单中，点击`系统功能配置`页面。在页面上勾选`知识库`，点击`保存配置`。即可在导航栏看到`知识库`功能。
+
+在顶部导航栏中，点击`模型配置`，在左侧导航栏中，点击`知识库`。在列表中找到`RAG_RAGFlow`，点击`编辑`按钮。
 
 在`服务地址`中，填写`http://你的ragflow服务的局域网IP:8008`，例如我的ragflow服务的局域网IP是`192.168.1.100`，那么我就填写`http://192.168.1.100:8008`。
 

docs/voiceprint-integration.md

@@ -164,6 +164,8 @@ http://192.168.1.25:8005/voiceprint/health?key=abcd
 # 2、全模块部署时，怎么配置声纹识别
 
 ## 第一步 配置接口
+首先，你要开启声纹识别功能。在智控台，点击顶部`参数字典`，在下拉菜单中，点击`系统功能配置`页面。在页面上勾选`声纹识别`，点击`保存配置`。即可在新建智能体的卡片上看到`声纹识别`按钮。
+
 如果你是全模块部署，使用管理员账号，登录智控台，点击顶部`参数字典`，选择`参数管理`功能。
 
 然后搜索参数`server.voice_print`，此时，它的值应该是`null`值。

main/manager-api/src/main/java/xiaozhi/common/constant/Constant.java

@@ -141,6 +141,11 @@ public interface Constant {
      */
     String SERVER_MQTT_SECRET = "server.mqtt_signature_key";
 
+    /**
+     * WebSocket认证开关
+     */
+    String SERVER_AUTH_ENABLED = "server.auth.enabled";
+
     /**
      * 无记忆
      */
@@ -299,7 +304,7 @@ public interface Constant {
     /**
      * 版本号
      */
-    public static final String VERSION = "0.8.9";
+    public static final String VERSION = "0.8.10";
 
     /**
      * 无效固件URL

main/manager-api/src/main/java/xiaozhi/modules/agent/controller/AgentController.java

@@ -44,6 +44,7 @@ import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentTemplateEntity;
 import xiaozhi.modules.agent.service.AgentChatAudioService;
 import xiaozhi.modules.agent.service.AgentChatHistoryService;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.AgentTemplateService;
@@ -64,6 +65,7 @@ public class AgentController {
     private final AgentChatHistoryService agentChatHistoryService;
     private final AgentChatAudioService agentChatAudioService;
     private final AgentPluginMappingService agentPluginMappingService;
+    private final AgentContextProviderService agentContextProviderService;
     private final RedisUtils redisUtils;
 
     @GetMapping("/list")
@@ -135,6 +137,8 @@ public class AgentController {
         agentChatHistoryService.deleteByAgentId(id, true, true);
         // 删除关联的插件
         agentPluginMappingService.deleteByAgentId(id);
+        // 删除关联的上下文源配置
+        agentContextProviderService.deleteByAgentId(id);
         // 再删除智能体
         agentService.deleteById(id);
         return new Result<>();

main/manager-api/src/main/java/xiaozhi/modules/agent/dao/AgentContextProviderDao.java

@@ -0,0 +1,9 @@
+package xiaozhi.modules.agent.dao;
+
+import org.apache.ibatis.annotations.Mapper;
+import xiaozhi.common.dao.BaseDao;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
+
+@Mapper
+public interface AgentContextProviderDao extends BaseDao<AgentContextProviderEntity> {
+}

main/manager-api/src/main/java/xiaozhi/modules/agent/dto/AgentUpdateDTO.java

@@ -69,6 +69,9 @@ public class AgentUpdateDTO implements Serializable {
     @Schema(description = "排序", example = "1", nullable = true)
     private Integer sort;
 
+    @Schema(description = "上下文源配置", nullable = true)
+    private List<ContextProviderDTO> contextProviders;
+
     @Data
     @Schema(description = "插件函数信息")
     public static class FunctionInfo implements Serializable {

main/manager-api/src/main/java/xiaozhi/modules/agent/dto/ContextProviderDTO.java

@@ -0,0 +1,19 @@
+package xiaozhi.modules.agent.dto;
+
+import java.io.Serializable;
+import java.util.Map;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+@Data
+@Schema(description = "上下文源配置DTO")
+public class ContextProviderDTO implements Serializable {
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "URL地址")
+    private String url;
+
+    @Schema(description = "请求头")
+    private Map<String, Object> headers;
+}

main/manager-api/src/main/java/xiaozhi/modules/agent/entity/AgentContextProviderEntity.java

@@ -0,0 +1,43 @@
+package xiaozhi.modules.agent.entity;
+
+import java.util.Date;
+import java.util.List;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.baomidou.mybatisplus.extension.handlers.JacksonTypeHandler;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import xiaozhi.modules.agent.dto.ContextProviderDTO;
+
+@Data
+@TableName(value = "ai_agent_context_provider", autoResultMap = true)
+@Schema(description = "智能体上下文源配置")
+public class AgentContextProviderEntity {
+
+    @TableId(type = IdType.ASSIGN_UUID)
+    @Schema(description = "主键")
+    private String id;
+
+    @Schema(description = "智能体ID")
+    private String agentId;
+
+    @Schema(description = "上下文源配置")
+    @TableField(typeHandler = JacksonTypeHandler.class)
+    private List<ContextProviderDTO> contextProviders;
+
+    @Schema(description = "创建者")
+    private Long creator;
+
+    @Schema(description = "创建时间")
+    private Date createdAt;
+
+    @Schema(description = "更新者")
+    private Long updater;
+
+    @Schema(description = "更新时间")
+    private Date updatedAt;
+}

main/manager-api/src/main/java/xiaozhi/modules/agent/service/AgentContextProviderService.java

@@ -0,0 +1,25 @@
+package xiaozhi.modules.agent.service;
+
+import xiaozhi.common.service.BaseService;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
+
+public interface AgentContextProviderService extends BaseService<AgentContextProviderEntity> {
+    /**
+     * 根据智能体ID获取上下文源配置
+     * @param agentId 智能体ID
+     * @return 上下文源配置实体
+     */
+    AgentContextProviderEntity getByAgentId(String agentId);
+
+    /**
+     * 保存或更新上下文源配置
+     * @param entity 实体
+     */
+    void saveOrUpdateByAgentId(AgentContextProviderEntity entity);
+
+    /**
+     * 根据智能体ID删除上下文源配置
+     * @param agentId 智能体ID
+     */
+    void deleteByAgentId(String agentId);
+}

main/manager-api/src/main/java/xiaozhi/modules/agent/service/impl/AgentContextProviderServiceImpl.java

@@ -0,0 +1,35 @@
+package xiaozhi.modules.agent.service.impl;
+
+import org.springframework.stereotype.Service;
+
+import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
+
+import xiaozhi.common.service.impl.BaseServiceImpl;
+import xiaozhi.modules.agent.dao.AgentContextProviderDao;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
+
+@Service
+public class AgentContextProviderServiceImpl extends BaseServiceImpl<AgentContextProviderDao, AgentContextProviderEntity> implements AgentContextProviderService {
+
+    @Override
+    public AgentContextProviderEntity getByAgentId(String agentId) {
+        return baseDao.selectOne(new QueryWrapper<AgentContextProviderEntity>().eq("agent_id", agentId));
+    }
+
+    @Override
+    public void saveOrUpdateByAgentId(AgentContextProviderEntity entity) {
+        AgentContextProviderEntity exist = getByAgentId(entity.getAgentId());
+        if (exist != null) {
+            entity.setId(exist.getId());
+            updateById(entity);
+        } else {
+            insert(entity);
+        }
+    }
+
+    @Override
+    public void deleteByAgentId(String agentId) {
+        baseDao.delete(new QueryWrapper<AgentContextProviderEntity>().eq("agent_id", agentId));
+    }
+}

main/manager-api/src/main/java/xiaozhi/modules/agent/service/impl/AgentServiceImpl.java

@@ -32,10 +32,12 @@ import xiaozhi.modules.agent.dao.AgentDao;
 import xiaozhi.modules.agent.dto.AgentCreateDTO;
 import xiaozhi.modules.agent.dto.AgentDTO;
 import xiaozhi.modules.agent.dto.AgentUpdateDTO;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
 import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentPluginMapping;
 import xiaozhi.modules.agent.entity.AgentTemplateEntity;
 import xiaozhi.modules.agent.service.AgentChatHistoryService;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.AgentTemplateService;
@@ -62,6 +64,7 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
     private final AgentChatHistoryService agentChatHistoryService;
     private final AgentTemplateService agentTemplateService;
     private final ModelProviderService modelProviderService;
+    private final AgentContextProviderService agentContextProviderService;
 
     @Override
     public PageData<AgentEntity> adminAgentList(Map<String, Object> params) {
@@ -85,6 +88,13 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
                 agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode());
             }
         }
+        
+        // 查询上下文源配置
+        AgentContextProviderEntity contextProviderEntity = agentContextProviderService.getByAgentId(id);
+        if (contextProviderEntity != null) {
+            agent.setContextProviders(contextProviderEntity.getContextProviders());
+        }
+        
         // 无需额外查询插件列表，已通过SQL查询出来
         return agent;
     }
@@ -331,6 +341,14 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
             agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, false);
         }
 
+        // 更新上下文源配置
+        if (dto.getContextProviders() != null) {
+            AgentContextProviderEntity contextEntity = new AgentContextProviderEntity();
+            contextEntity.setAgentId(agentId);
+            contextEntity.setContextProviders(dto.getContextProviders());
+            agentContextProviderService.saveOrUpdateByAgentId(contextEntity);
+        }
+
         boolean b = validateLLMIntentParams(dto.getLlmModelId(), dto.getIntentModelId());
         if (!b) {
             throw new RenException(ErrorCode.LLM_INTENT_PARAMS_MISMATCH);

main/manager-api/src/main/java/xiaozhi/modules/agent/vo/AgentInfoVO.java

@@ -5,6 +5,7 @@ import com.baomidou.mybatisplus.extension.handlers.JacksonTypeHandler;
 import io.swagger.v3.oas.annotations.media.Schema;
 import lombok.Data;
 import lombok.EqualsAndHashCode;
+import xiaozhi.modules.agent.dto.ContextProviderDTO;
 import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentPluginMapping;
 
@@ -21,4 +22,7 @@ public class AgentInfoVO extends AgentEntity
     @Schema(description = "插件列表Id")
     @TableField(typeHandler = JacksonTypeHandler.class)
     private List<AgentPluginMapping> functions;
+
+    @Schema(description = "上下文源配置")
+    private List<ContextProviderDTO> contextProviders;
 }

main/manager-api/src/main/java/xiaozhi/modules/config/service/impl/ConfigServiceImpl.java

@@ -20,10 +20,12 @@ import xiaozhi.common.redis.RedisUtils;
 import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.JsonUtils;
 import xiaozhi.modules.agent.dao.AgentVoicePrintDao;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
 import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentPluginMapping;
 import xiaozhi.modules.agent.entity.AgentTemplateEntity;
 import xiaozhi.modules.agent.entity.AgentVoicePrintEntity;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
 import xiaozhi.modules.agent.service.AgentMcpAccessPointService;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
@@ -53,6 +55,7 @@ public class ConfigServiceImpl implements ConfigService {
     private final TimbreService timbreService;
     private final AgentPluginMappingService agentPluginMappingService;
     private final AgentMcpAccessPointService agentMcpAccessPointService;
+    private final AgentContextProviderService agentContextProviderService;
     private final VoiceCloneService cloneVoiceService;
     private final AgentVoicePrintDao agentVoicePrintDao;
 
@@ -178,6 +181,13 @@ public class ConfigServiceImpl implements ConfigService {
             mcpEndpoint = mcpEndpoint.replace("/mcp/", "/call/");
             result.put("mcp_endpoint", mcpEndpoint);
         }
+        
+        // 获取上下文源配置
+        AgentContextProviderEntity contextProviderEntity = agentContextProviderService.getByAgentId(agent.getId());
+        if (contextProviderEntity != null && contextProviderEntity.getContextProviders() != null && !contextProviderEntity.getContextProviders().isEmpty()) {
+            result.put("context_providers", contextProviderEntity.getContextProviders());
+        }
+
         // 获取声纹信息
         buildVoiceprintConfig(agent.getId(), result);
 

main/manager-api/src/main/java/xiaozhi/modules/device/controller/DeviceController.java

@@ -72,10 +72,12 @@ public class DeviceController {
             return new Result<String>().error(ErrorCode.MCA_NOT_NULL);
         }
         // 生成六位验证码
-        String code = String.valueOf(Math.random()).substring(2, 8);
-        String key = RedisKeys.getDeviceCaptchaKey(code);
+        String code;
+        String key;
         String existsMac = null;
         do {
+            code = String.valueOf(Math.random()).substring(2, 8);
+            key = RedisKeys.getDeviceCaptchaKey(code);
             existsMac = (String) redisUtils.get(key);
         } while (StringUtils.isNotBlank(existsMac));
 

main/manager-api/src/main/java/xiaozhi/modules/device/service/impl/DeviceServiceImpl.java

@@ -1,6 +1,8 @@
 package xiaozhi.modules.device.service.impl;
 
 import java.nio.charset.StandardCharsets;
+import java.security.InvalidKeyException;
+import java.security.NoSuchAlgorithmException;
 import java.time.Instant;
 import java.util.Base64;
 import java.util.Date;
@@ -169,7 +171,22 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
         DeviceReportRespDTO.Websocket websocket = new DeviceReportRespDTO.Websocket();
         // 从系统参数获取WebSocket URL，如果未配置则使用默认值
         String wsUrl = sysParamsService.getValue(Constant.SERVER_WEBSOCKET, true);
-        websocket.setToken("");
+
+        // 检查是否启用认证并生成token
+        String authEnabled = sysParamsService.getValue(Constant.SERVER_AUTH_ENABLED, true);
+        if ("true".equalsIgnoreCase(authEnabled)) {
+            try {
+                // 生成token
+                String token = generateWebSocketToken(clientId, macAddress);
+                websocket.setToken(token);
+            } catch (Exception e) {
+                log.error("生成WebSocket token失败: {}", e.getMessage());
+                websocket.setToken("");
+            }
+        } else {
+            websocket.setToken("");
+        }
+
         if (StringUtils.isBlank(wsUrl) || wsUrl.equals("null")) {
             log.error("WebSocket地址未配置，请登录智控台，在参数管理找到【server.websocket】配置");
             wsUrl = "ws://xiaozhi.server.com:8000/xiaozhi/v1/";
@@ -189,7 +206,7 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
 
         // 添加MQTT UDP配置
         // 从系统参数获取MQTT Gateway地址，仅在配置有效时使用
-        String mqttUdpConfig = sysParamsService.getValue(Constant.SERVER_MQTT_GATEWAY, false);
+        String mqttUdpConfig = sysParamsService.getValue(Constant.SERVER_MQTT_GATEWAY, true);
         if (mqttUdpConfig != null && !mqttUdpConfig.equals("null") && !mqttUdpConfig.isEmpty()) {
             try {
                 String groupId = deviceById != null && deviceById.getBoard() != null ? deviceById.getBoard()
@@ -494,6 +511,40 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
         return Base64.getEncoder().encodeToString(signature);
     }
 
+    /**
+     * 生成WebSocket认证token 遵循Python端AuthManager的实现逻辑：token = signature.timestamp
+     * 
+     * @param clientId 客户端ID
+     * @param username 用户名 (通常为deviceId/macAddress)
+     * @return 认证token字符串
+     */
+    private String generateWebSocketToken(String clientId, String username)
+            throws NoSuchAlgorithmException, InvalidKeyException {
+        // 从系统参数获取密钥
+        String secretKey = sysParamsService.getValue(Constant.SERVER_SECRET, false);
+        if (StringUtils.isBlank(secretKey)) {
+            throw new IllegalStateException("WebSocket认证密钥未配置(server.secret)");
+        }
+
+        // 获取当前时间戳(秒)
+        long timestamp = System.currentTimeMillis() / 1000;
+
+        // 构建签名内容: clientId|username|timestamp
+        String content = String.format("%s|%s|%d", clientId, username, timestamp);
+
+        // 生成HMAC-SHA256签名
+        Mac hmac = Mac.getInstance("HmacSHA256");
+        SecretKeySpec keySpec = new SecretKeySpec(secretKey.getBytes(StandardCharsets.UTF_8), "HmacSHA256");
+        hmac.init(keySpec);
+        byte[] signature = hmac.doFinal(content.getBytes(StandardCharsets.UTF_8));
+
+        // Base64 URL-safe编码签名(去除填充符=)
+        String signatureBase64 = Base64.getUrlEncoder().withoutPadding().encodeToString(signature);
+
+        // 返回格式: signature.timestamp
+        return String.format("%s.%d", signatureBase64, timestamp);
+    }
+
     /**
      * 构建MQTT配置信息
      * 
@@ -504,7 +555,7 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
     private DeviceReportRespDTO.MQTT buildMqttConfig(String macAddress, String groupId)
             throws Exception {
         // 从环境变量或系统参数获取签名密钥
-        String signatureKey = sysParamsService.getValue("server.mqtt_signature_key", false);
+        String signatureKey = sysParamsService.getValue("server.mqtt_signature_key", true);
         if (StringUtils.isBlank(signatureKey)) {
             log.warn("缺少MQTT_SIGNATURE_KEY，跳过MQTT配置生成");
             return null;

main/manager-api/src/main/java/xiaozhi/modules/security/controller/LoginController.java

@@ -6,6 +6,7 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 
+import org.apache.commons.lang3.StringUtils;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PostMapping;
 import org.springframework.web.bind.annotation.PutMapping;
@@ -23,7 +24,9 @@ import xiaozhi.common.exception.ErrorCode;
 import xiaozhi.common.exception.RenException;
 import xiaozhi.common.page.TokenDTO;
 import xiaozhi.common.user.UserDetail;
+import xiaozhi.common.utils.JsonUtils;
 import xiaozhi.common.utils.Result;
+import xiaozhi.common.utils.Sm2DecryptUtil;
 import xiaozhi.common.validator.AssertUtils;
 import xiaozhi.common.validator.ValidatorUtils;
 import xiaozhi.modules.security.dto.LoginDTO;
@@ -32,8 +35,6 @@ import xiaozhi.modules.security.password.PasswordUtils;
 import xiaozhi.modules.security.service.CaptchaService;
 import xiaozhi.modules.security.service.SysUserTokenService;
 import xiaozhi.modules.security.user.SecurityUser;
-import xiaozhi.common.utils.Sm2DecryptUtil;
-import org.apache.commons.lang3.StringUtils;
 import xiaozhi.modules.sys.dto.PasswordDTO;
 import xiaozhi.modules.sys.dto.RetrievePasswordDTO;
 import xiaozhi.modules.sys.dto.SysUserDTO;
@@ -89,13 +90,13 @@ public class LoginController {
     @Operation(summary = "登录")
     public Result<TokenDTO> login(@RequestBody LoginDTO login) {
         String password = login.getPassword();
-        
+
         // 使用工具类解密并验证验证码
         String actualPassword = Sm2DecryptUtil.decryptAndValidateCaptcha(
                 password, login.getCaptchaId(), captchaService, sysParamsService);
-        
+
         login.setPassword(actualPassword);
-        
+
         // 按照用户名获取用户
         SysUserDTO userDTO = sysUserService.getByUsername(login.getUsername());
         // 判断用户是否存在
@@ -108,8 +109,6 @@ public class LoginController {
         }
         return sysUserTokenService.createToken(userDTO.getId());
     }
-    
-
 
     @PostMapping("/register")
     @Operation(summary = "注册")
@@ -117,15 +116,15 @@ public class LoginController {
         if (!sysUserService.getAllowUserRegister()) {
             throw new RenException(ErrorCode.USER_REGISTER_DISABLED);
         }
-        
+
         String password = login.getPassword();
-        
+
         // 使用工具类解密并验证验证码
         String actualPassword = Sm2DecryptUtil.decryptAndValidateCaptcha(
                 password, login.getCaptchaId(), captchaService, sysParamsService);
-        
+
         login.setPassword(actualPassword);
-        
+
         // 是否开启手机注册
         Boolean isMobileRegister = sysParamsService
                 .getValueObject(Constant.SysMSMParam.SERVER_ENABLE_MOBILE_REGISTER.getValue(), Boolean.class);
@@ -204,11 +203,11 @@ public class LoginController {
         }
 
         String password = dto.getPassword();
-        
+
         // 使用工具类解密并验证验证码
         String actualPassword = Sm2DecryptUtil.decryptAndValidateCaptcha(
                 password, dto.getCaptchaId(), captchaService, sysParamsService);
-        
+
         dto.setPassword(actualPassword);
 
         sysUserService.changePasswordDirectly(userDTO.getId(), dto.getPassword());
@@ -229,7 +228,7 @@ public class LoginController {
         config.put("beianIcpNum", sysParamsService.getValue(Constant.SysBaseParam.BEIAN_ICP_NUM.getValue(), true));
         config.put("beianGaNum", sysParamsService.getValue(Constant.SysBaseParam.BEIAN_GA_NUM.getValue(), true));
         config.put("name", sysParamsService.getValue(Constant.SysBaseParam.SERVER_NAME.getValue(), true));
-        
+
         // SM2公钥
         String publicKey = sysParamsService.getValue(Constant.SM2_PUBLIC_KEY, true);
         if (StringUtils.isBlank(publicKey)) {
@@ -237,6 +236,12 @@ public class LoginController {
         }
         config.put("sm2PublicKey", publicKey);
 
+        // 获取system-web.menu参数配置
+        String menuConfig = sysParamsService.getValue("system-web.menu", true);
+        if (StringUtils.isNotBlank(menuConfig)) {
+            config.put("systemWebMenu", JsonUtils.parseObject(menuConfig, Object.class));
+        }
+
         return new Result<Map<String, Object>>().ok(config);
     }
 }

main/manager-api/src/main/resources/db/changelog/202512031517.sql

@@ -0,0 +1,6 @@
+-- 添加系统功能菜单配置参数
+delete from `sys_params` where param_code = 'system-web.menu';
+
+-- 添加系统功能菜单配置参数
+INSERT INTO `sys_params` (id, param_code, param_value, value_type, param_type, remark) VALUES 
+(600, 'system-web.menu', '{"features":{"voiceprintRecognition":{"name":"feature.voiceprintRecognition.name","enabled":false,"description":"feature.voiceprintRecognition.description"},"voiceClone":{"name":"feature.voiceClone.name","enabled":false,"description":"feature.voiceClone.description"},"knowledgeBase":{"name":"feature.knowledgeBase.name","enabled":false,"description":"feature.knowledgeBase.description"},"mcpAccessPoint":{"name":"feature.mcpAccessPoint.name","enabled":false,"description":"feature.mcpAccessPoint.description"},"vad":{"name":"feature.vad.name","enabled":true,"description":"feature.vad.description"},"asr":{"name":"feature.asr.name","enabled":true,"description":"feature.asr.description"}},"groups":{"featureManagement":["voiceprintRecognition","voiceClone","knowledgeBase","mcpAccessPoint"],"voiceManagement":["vad","asr"]}}', 'json', 1, '系统功能菜单配置');

main/manager-api/src/main/resources/db/changelog/202512041515.sql

@@ -0,0 +1,14 @@
+-- liquibase formatted sql
+
+-- changeset xiaozhi:202512041515
+CREATE TABLE ai_agent_context_provider (
+    id VARCHAR(32) NOT NULL COMMENT '主键',
+    agent_id VARCHAR(32) NOT NULL COMMENT '智能体ID',
+    context_providers JSON COMMENT '上下文源配置',
+    creator BIGINT COMMENT '创建者',
+    created_at DATETIME COMMENT '创建时间',
+    updater BIGINT COMMENT '更新者',
+    updated_at DATETIME COMMENT '更新时间',
+    PRIMARY KEY (id),
+    INDEX idx_agent_id (agent_id)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='智能体上下文源配置表';

main/manager-api/src/main/resources/db/changelog/202512131453.sql

@@ -0,0 +1,6 @@
+-- 删除server模块是否开启token认证参数
+delete from `sys_params` where param_code = 'server.auth.enabled';
+
+-- 添加server模块是否开启token认证参数
+INSERT INTO `sys_params` (id, param_code, param_value, value_type, param_type, remark) VALUES 
+(122, 'server.auth.enabled', 'true', 'boolean', 1, 'server模块是否开启token认证');

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

@@ -423,3 +423,25 @@ databaseChangeLog:
         - sqlFile:
             encoding: utf8
             path: classpath:db/changelog/202511131023.sql
+  - changeSet:
+      id: 202512031517
+      author: rainv123
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512031517.sql
+    
+  - changeSet:
+      id: 202512041515
+      author: cgd
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512041515.sql
+  - changeSet:
+      id: 202512131453
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512131453.sql

main/manager-mobile/src/pages/settings/index.vue

@@ -235,7 +235,7 @@ function showAbout() {
     title: t('settings.aboutApp', { appName: import.meta.env.VITE_APP_TITLE }),
     content: t('settings.aboutContent', {
       appName: import.meta.env.VITE_APP_TITLE,
-      version: '0.8.9'
+      version: '0.8.10'
     }),
     showCancel: false,
     confirmText: t('common.confirm'),

main/manager-web/src/components/ContextProviderDialog.vue

@@ -0,0 +1,329 @@
+<template>
+  <el-dialog
+    :visible.sync="dialogVisible"
+    width="900px"
+    :title="$t('contextProviderDialog.title')"
+    :close-on-click-modal="false"
+    custom-class="context-provider-dialog"
+    append-to-body
+  >
+    <div class="dialog-content">
+      <el-empty v-if="localProviders.length === 0" :description="$t('contextProviderDialog.noContextApi')">
+        <el-button type="primary" icon="el-icon-plus" @click="addProvider(0)">{{ $t('contextProviderDialog.add') }}</el-button>
+      </el-empty>
+
+      <div
+        v-for="(provider, pIndex) in localProviders"
+        :key="pIndex"
+        class="provider-item"
+      >
+        <el-card class="provider-card" shadow="hover" :body-style="{ padding: '15px 20px' }">
+          <!-- URL Row -->
+          <div class="input-row">
+            <span class="label-text">{{ $t('contextProviderDialog.apiUrl') }}</span>
+            <el-input
+              v-model="provider.url"
+              :placeholder="$t('contextProviderDialog.apiUrlPlaceholder')"
+              size="small"
+              class="flex-1"
+            ></el-input>
+          </div>
+
+          <!-- Headers Section -->
+          <div class="headers-section">
+            <div class="label-text" style="margin-top: 6px;">{{ $t('contextProviderDialog.requestHeaders') }}</div>
+            <div class="headers-list">
+              <div
+                v-for="(header, hIndex) in provider.headers"
+                :key="hIndex"
+                class="header-row"
+              >
+                <el-input
+                  v-model="header.key"
+                  :placeholder="$t('contextProviderDialog.headerKeyPlaceholder')"
+                  size="small"
+                  style="width: 180px;"
+                ></el-input>
+                <span class="separator">:</span>
+                <el-input
+                  v-model="header.value"
+                  :placeholder="$t('contextProviderDialog.headerValuePlaceholder')"
+                  size="small"
+                  class="flex-1"
+                ></el-input>
+                
+                <div class="row-controls">
+                  <el-button
+                    type="primary"
+                    icon="el-icon-plus"
+                    circle
+                    size="mini"
+                    plain
+                    @click="addHeader(pIndex, hIndex + 1)"
+                  ></el-button>
+                  <el-button
+                    type="danger"
+                    icon="el-icon-minus"
+                    circle
+                    size="mini"
+                    plain
+                    @click="removeHeader(pIndex, hIndex)"
+                  ></el-button>
+                </div>
+              </div>
+              <!-- Empty Headers State -->
+              <div v-if="provider.headers.length === 0" class="header-row empty-header">
+                 <span class="no-header-text">{{ $t('contextProviderDialog.noHeaders') }}</span>
+                 <el-button
+                    type="text"
+                    icon="el-icon-plus"
+                    size="mini"
+                    @click="addHeader(pIndex, 0)"
+                  >{{ $t('contextProviderDialog.addHeader') }}</el-button>
+              </div>
+            </div>
+          </div>
+        </el-card>
+
+        <!-- Provider Block Controls (Right Side) -->
+        <div class="block-controls">
+          <el-button
+            type="primary"
+            icon="el-icon-plus"
+            circle
+            size="medium"
+            @click="addProvider(pIndex + 1)"
+          ></el-button>
+          <el-button
+            type="danger"
+            icon="el-icon-minus"
+            circle
+            size="medium"
+            @click="removeProvider(pIndex)"
+          ></el-button>
+        </div>
+      </div>
+    </div>
+
+    <span slot="footer" class="dialog-footer">
+      <el-button @click="dialogVisible = false">{{ $t('contextProviderDialog.cancel') }}</el-button>
+      <el-button type="primary" @click="handleConfirm">{{ $t('contextProviderDialog.confirm') }}</el-button>
+    </span>
+  </el-dialog>
+</template>
+
+<script>
+export default {
+  name: 'ContextProviderDialog',
+  props: {
+    visible: {
+      type: Boolean,
+      default: false
+    },
+    providers: {
+      type: Array,
+      default: () => []
+    }
+  },
+  data() {
+    return {
+      localProviders: []
+    };
+  },
+  computed: {
+    dialogVisible: {
+      get() {
+        return this.visible;
+      },
+      set(val) {
+        this.$emit('update:visible', val);
+      }
+    }
+  },
+  watch: {
+    visible(val) {
+      if (val) {
+        this.initLocalData();
+      }
+    }
+  },
+  methods: {
+    initLocalData() {
+      // 深拷贝并将 headers 对象转换为数组
+      this.localProviders = this.providers.map(p => {
+        const headers = p.headers || {};
+        return {
+          url: p.url || '',
+          headers: Object.entries(headers).map(([key, value]) => ({ key, value }))
+        };
+      });
+      
+      // 如果为空，添加一个默认块
+      if (this.localProviders.length === 0) {
+         this.localProviders.push({ url: '', headers: [{ key: '', value: '' }] });
+      }
+    },
+    addProvider(index) {
+      this.localProviders.splice(index, 0, {
+        url: '',
+        headers: [{ key: '', value: '' }]
+      });
+    },
+    removeProvider(index) {
+      this.localProviders.splice(index, 1);
+    },
+    addHeader(pIndex, hIndex) {
+      this.localProviders[pIndex].headers.splice(hIndex, 0, { key: '', value: '' });
+    },
+    removeHeader(pIndex, hIndex) {
+      this.localProviders[pIndex].headers.splice(hIndex, 1);
+    },
+    handleConfirm() {
+      const result = this.localProviders
+        .filter(p => p.url.trim() !== '')
+        .map(p => {
+          const headersObj = {};
+          p.headers.forEach(h => {
+            if (h.key.trim()) {
+              headersObj[h.key.trim()] = h.value;
+            }
+          });
+          return {
+            url: p.url.trim(),
+            headers: headersObj
+          };
+        });
+      
+      this.$emit('confirm', result);
+      this.dialogVisible = false;
+    }
+  }
+};
+</script>
+
+<style scoped>
+.dialog-content {
+  max-height: 60vh;
+  overflow-y: auto;
+  padding: 20px 25px;
+}
+
+.dialog-content::-webkit-scrollbar {
+  width: 6px;
+}
+.dialog-content::-webkit-scrollbar-thumb {
+  background: #dcdfe6;
+  border-radius: 3px;
+}
+.dialog-content::-webkit-scrollbar-track {
+  background: #f5f7fa;
+}
+
+.provider-item {
+  display: flex;
+  gap: 15px;
+  margin-bottom: 20px;
+  align-items: center;
+}
+
+.provider-card {
+  flex: 1;
+  border-radius: 12px;
+  border: 1px solid #e4e7ed;
+  border-left: 4px solid #409EFF; /* 左侧强调色 */
+  background-color: #fff;
+  transition: all 0.3s ease;
+  box-shadow: 0 2px 12px 0 rgba(0, 0, 0, 0.05);
+}
+
+.provider-card:hover {
+  box-shadow: 0 8px 20px rgba(0, 0, 0, 0.1);
+  transform: translateY(-2px);
+}
+
+.block-controls {
+  display: flex;
+  flex-direction: row;
+  gap: 8px;
+}
+
+.input-row {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+  margin-bottom: 18px;
+}
+
+.label-text {
+  width: 60px;
+  font-weight: 600;
+  color: #606266;
+  text-align: right;
+  font-size: 13px;
+  white-space: nowrap;
+  line-height: 32px; /* 垂直居中对齐 */
+}
+
+.flex-1 {
+  flex: 1;
+}
+
+.headers-section {
+  display: flex;
+  gap: 12px;
+  align-items: flex-start;
+}
+
+.headers-list {
+  flex: 1;
+  display: flex;
+  flex-direction: column;
+  gap: 10px;
+  background: #fcfcfc;
+  padding: 15px;
+  border-radius: 8px;
+  border: 1px dashed #dcdfe6;
+  transition: all 0.3s;
+}
+
+.headers-list:hover {
+  border-color: #c0c4cc;
+  background: #fff;
+}
+
+.header-row {
+  display: flex;
+  align-items: center;
+  gap: 10px;
+}
+
+.separator {
+  color: #909399;
+  font-weight: bold;
+  margin: 0 2px;
+}
+
+.row-controls {
+  display: flex;
+  gap: 6px;
+  margin-left: 8px;
+  flex-shrink: 0;
+  opacity: 0.6;
+  transition: opacity 0.2s;
+}
+
+.header-row:hover .row-controls {
+  opacity: 1;
+}
+
+.empty-header {
+  justify-content: center;
+  padding: 10px;
+  color: #909399;
+  font-size: 13px;
+}
+
+.no-header-text {
+  margin-right: 8px;
+}
+</style>

main/manager-web/src/components/DeviceItem.vue

@@ -23,7 +23,7 @@
       <div class="settings-btn" @click="handleConfigure">
         {{ $t('home.configureRole') }}
       </div>
-      <div class="settings-btn" @click="handleVoicePrint">
+      <div v-if="featureStatus.voiceprintRecognition" class="settings-btn" @click="handleVoicePrint">
         {{ $t('home.voiceprintRecognition') }}
       </div>
       <div class="settings-btn" @click="handleDeviceManage">
@@ -49,7 +49,15 @@ import i18n from '@/i18n';
 export default {
   name: 'DeviceItem',
   props: {
-    device: { type: Object, required: true }
+    device: { type: Object, required: true },
+    featureStatus: { 
+      type: Object, 
+      default: () => ({
+        voiceprintRecognition: false,
+        voiceClone: false,
+        knowledgeBase: false
+      })
+    }
   },
   data() {
     return { switchValue: false }

main/manager-web/src/components/FunctionDialog.vue

@@ -106,7 +106,7 @@
     </div>
 
     <!-- MCP区域 -->
-    <div class="mcp-access-point">
+    <div class="mcp-access-point" v-if="featureStatus.mcpAccessPoint">
       <div class="mcp-container">
         <!-- 左侧区域 -->
         <div class="mcp-left">
@@ -171,6 +171,7 @@
 <script>
 import Api from '@/apis/api';
 import i18n from '@/i18n';
+import featureManager from '@/utils/featureManager';
 
 export default {
   i18n,
@@ -205,6 +206,11 @@ export default {
       mcpUrl: "",
       mcpStatus: "disconnected",
       mcpTools: [],
+      
+      // 功能状态
+      featureStatus: {
+        mcpAccessPoint: false
+      }
     }
   },
   computed: {
@@ -249,6 +255,9 @@ export default {
         // 右侧默认指向第一个
         this.currentFunction = this.selectedList[0] || null;
 
+        // 加载功能状态
+        this.loadFeatureStatus();
+        
         // 加载MCP数据
         this.loadMcpAddress();
         this.loadMcpTools();
@@ -259,6 +268,19 @@ export default {
     }
   },
   methods: {
+    /**
+     * 加载功能状态
+     */
+    async loadFeatureStatus() {
+      // 确保featureManager已初始化完成
+      await featureManager.waitForInitialization();
+      
+      const config = featureManager.getConfig();
+      this.featureStatus = {
+        mcpAccessPoint: config.mcpAccessPoint || false
+      };
+    },
+    
     copyUrl() {
       const textarea = document.createElement('textarea');
       textarea.value = this.mcpUrl;
@@ -456,6 +478,7 @@ export default {
 .function-column {
   position: relative;
   width: auto;
+  height:700px; 
   padding: 10px;
   overflow-y: auto;
   border-right: 1px solid #EBEEF5;
@@ -463,6 +486,12 @@ export default {
   overflow-x: hidden;
 }
 
+.mcp-access-point {
+  position: relative;
+  z-index: 1;
+  background: white;
+}
+
 .function-column::-webkit-scrollbar {
   display: none;
 }

main/manager-web/src/components/HeaderBar.vue

@@ -26,7 +26,7 @@
           <span class="nav-text">{{ $t("header.smartManagement") }}</span>
         </div>
         <!-- 普通用户显示音色克隆 -->
-        <div v-if="!isSuperAdmin" class="equipment-management"
+        <div v-if="!isSuperAdmin && featureStatus.voiceClone" class="equipment-management"
           :class="{ 'active-tab': $route.path === '/voice-clone-management' }" @click="goVoiceCloneManagement">
           <img loading="lazy" alt="" src="@/assets/header/voice.png" :style="{
             filter:
@@ -38,7 +38,7 @@
         </div>
 
         <!-- 超级管理员显示音色克隆下拉菜单 -->
-        <el-dropdown v-if="isSuperAdmin" trigger="click" class="equipment-management more-dropdown" :class="{
+        <el-dropdown v-if="isSuperAdmin && featureStatus.voiceClone" trigger="click" class="equipment-management more-dropdown" :class="{
           'active-tab':
             $route.path === '/voice-clone-management' ||
             $route.path === '/voice-resource-management',
@@ -72,7 +72,7 @@
           }" />
           <span class="nav-text">{{ $t("header.modelConfig") }}</span>
         </div>
-        <div class="equipment-management"
+        <div v-if="featureStatus.knowledgeBase" class="equipment-management"
           :class="{ 'active-tab': $route.path === '/knowledge-base-management' || $route.path === '/knowledge-file-upload' }"
           @click="goKnowledgeBaseManagement">
           <img loading="lazy" alt="" src="@/assets/header/knowledge_base.png" :style="{
@@ -89,7 +89,8 @@
             $route.path === '/server-side-management' ||
             $route.path === '/agent-template-management' ||
             $route.path === '/ota-management' ||
-            $route.path === '/user-management',
+            $route.path === '/user-management' ||
+            $route.path === '/feature-management',
         }" @visible-change="handleParamDropdownVisibleChange">
           <span class="el-dropdown-link">
             <img loading="lazy" alt="" src="@/assets/header/param_management.png" :style="{
@@ -100,7 +101,8 @@
                   $route.path === '/server-side-management' ||
                   $route.path === '/agent-template-management' ||
                   $route.path === '/ota-management' ||
-                  $route.path === '/user-management'
+                  $route.path === '/user-management' ||
+                  $route.path === '/feature-management'
                   ? 'brightness(0) invert(1)'
                   : 'None',
             }" />
@@ -129,6 +131,9 @@
             <el-dropdown-item @click.native="goServerSideManagement">
               {{ $t("header.serverSideManagement") }}
             </el-dropdown-item>
+            <el-dropdown-item @click.native="goFeatureManagement">
+                {{ $t("header.featureManagement") }}
+              </el-dropdown-item>
           </el-dropdown-menu>
         </el-dropdown>
       </div>
@@ -186,6 +191,7 @@ import userApi from "@/apis/module/user";
 import i18n, { changeLanguage } from "@/i18n";
 import { mapActions, mapGetters } from "vuex";
 import ChangePasswordDialog from "./ChangePasswordDialog.vue"; // 引入修改密码弹窗组件
+import featureManager from "@/utils/featureManager"; // 引入功能管理工具类
 
 export default {
   name: "HeaderBar",
@@ -217,6 +223,11 @@ export default {
         label: "label",
         children: "children",
       },
+      // 功能状态
+      featureStatus: {
+        voiceClone: false, // 音色克隆功能状态
+        knowledgeBase: false, // 知识库功能状态
+      },
     };
   },
   computed: {
@@ -286,12 +297,14 @@ export default {
       ];
     },
   },
-  mounted() {
+  async mounted() {
     this.fetchUserInfo();
     this.checkScreenSize();
     window.addEventListener("resize", this.checkScreenSize);
     // 从localStorage加载搜索历史
     this.loadSearchHistory();
+    // 等待featureManager初始化完成后再加载功能状态
+    await this.loadFeatureStatus();
   },
   //移除事件监听器
   beforeDestroy() {
@@ -338,6 +351,20 @@ export default {
     goAgentTemplateManagement() {
       this.$router.push("/agent-template-management");
     },
+    // 跳转到功能管理
+    goFeatureManagement() {
+      this.$router.push("/feature-management");
+    },
+    // 加载功能状态
+    async loadFeatureStatus() {
+      // 等待featureManager初始化完成
+      await featureManager.waitForInitialization();
+      
+      const config = featureManager.getConfig();
+      
+      this.featureStatus.voiceClone = config.voiceClone;
+      this.featureStatus.knowledgeBase = config.knowledgeBase;
+    },
     // 获取用户信息
     fetchUserInfo() {
       userApi.getUserInfo(({ data }) => {

main/manager-web/src/i18n/de.js

@@ -22,6 +22,7 @@ export default {
   'header.clearHistory': 'Verlauf löschen',
   'header.providerManagement': 'Anbieterverwaltung',
   'header.serverSideManagement': 'Serververwaltung',
+  'header.featureManagement': 'Systemfunktionsverwaltung',
   'header.changePassword': 'Passwort ändern',
   'header.logout': 'Abmelden',
   'header.searchPlaceholder': 'Nach Namen suchen..',
@@ -229,6 +230,26 @@ export default {
   'voicePrintDialog.requiredName': 'Bitte Namen eingeben',
   'voicePrintDialog.requiredAudioVector': 'Bitte Audio-Vektor auswählen',
 
+  // Context provider dialog related
+  'contextProviderDialog.title': 'Quelle bearbeiten',
+  'contextProviderDialog.noContextApi': 'Keine Kontext-API',
+  'contextProviderDialog.add': 'Hinzufügen',
+  'contextProviderDialog.apiUrl': 'API-URL',
+  'contextProviderDialog.apiUrlPlaceholder': 'http://api.example.com/data',
+  'contextProviderDialog.requestHeaders': 'Anfrage-Header',
+  'contextProviderDialog.headerKeyPlaceholder': 'Schlüssel',
+  'contextProviderDialog.headerValuePlaceholder': 'Wert',
+  'contextProviderDialog.noHeaders': 'Keine Headers',
+  'contextProviderDialog.addHeader': 'Header hinzufügen',
+  'contextProviderDialog.cancel': 'Abbrechen',
+  'contextProviderDialog.confirm': 'Bestätigen',
+
+  // Role config page - context provider related
+  'roleConfig.contextProvider': 'Kontext',
+  'roleConfig.contextProviderSuccess': '{count} Quellen erfolgreich hinzugefügt.',
+  'roleConfig.contextProviderDocLink': 'Wie man Kontextquellen bereitstellt',
+  'roleConfig.editContextProvider': 'Quelle bearbeiten',
+
   // Voice print page related
   'voicePrint.pageTitle': 'Stimmabdruck-Erkennung',
   'voicePrint.name': 'Name',
@@ -692,7 +713,7 @@ export default {
   'paramManagement.deleteFailed': 'Löschen fehlgeschlagen, bitte versuchen Sie es erneut',
   'paramManagement.operationCancelled': 'Löschen abgebrochen',
   'paramManagement.operationClosed': 'Operation geschlossen',
-  'paramManagement.updateSuccess': 'Aktualisierung erfolgreich',
+  'paramManagement.updateSuccess': 'Aktualisierung erfolgreich. Einige Konfigurationen werden erst nach Neustart des xiaozhi-server-Moduls wirksam.',
   'paramManagement.addSuccess': 'Hinzufügen erfolgreich',
   'paramManagement.updateFailed': 'Aktualisierung fehlgeschlagen',
   'paramManagement.addFailed': 'Hinzufügen fehlgeschlagen',
@@ -831,7 +852,7 @@ export default {
   'modelConfig.enableSuccess': 'Aktivieren erfolgreich',
   'modelConfig.disableSuccess': 'Deaktivieren erfolgreich',
   'modelConfig.operationFailed': 'Operation fehlgeschlagen',
-  'modelConfig.setDefaultSuccess': 'Standardmodell erfolgreich gesetzt',
+  'modelConfig.setDefaultSuccess': 'Standardmodell erfolgreich gesetzt, bitte starten Sie das xiaozhi-server-Modul zeitnah manuell neu',
   'modelConfig.itemsPerPage': '{items} Einträge/Seite',
   'modelConfig.firstPage': 'Erste Seite',
   'modelConfig.prevPage': 'Vorherige Seite',
@@ -1262,4 +1283,35 @@ export default {
   'knowledgeFileUpload.content': 'Inhalt:',
   'knowledgeFileUpload.testQuestionRequired': 'Bitte Testfrage eingeben',
   'knowledgeBaseDialog.descriptionRequired': 'Bitte Wissensbasis-Beschreibung eingeben',
+
+  // Feature Management page text
+  'featureManagement.selectAll': 'Alle auswählen',
+  'featureManagement.deselectAll': 'Alle abwählen',
+  'featureManagement.save': 'Konfiguration speichern',
+  'featureManagement.reset': 'Zurücksetzen',
+  'featureManagement.group.featureManagement': 'Funktion/Bereich aktivieren oder deaktivieren',
+  'featureManagement.group.voiceManagement': 'Für Benutzer bei der Agenten-Konfiguration sichtbar',
+  'featureManagement.noFeatures': 'Keine Funktionen verfügbar',
+  'featureManagement.contactAdmin': 'Bitte kontaktieren Sie Administrator zur Funktionskonfiguration',
+  'featureManagement.saveSuccess': 'Funktionskonfiguration erfolgreich gespeichert',
+  'featureManagement.resetConfirm': 'Sind Sie sicher, dass Sie alle Funktionskonfigurationen zurücksetzen möchten?',
+  'featureManagement.confirm': 'Bestätigen',
+  'featureManagement.cancel': 'Abbrechen',
+  'featureManagement.resetSuccess': 'Funktionskonfiguration erfolgreich zurückgesetzt',
+  'featureManagement.noChanges': 'Keine Änderungen zum Speichern',
+
+  // Feature names and descriptions
+  'feature.voiceprintRecognition.name': 'Stimmerkennung',
+  'feature.voiceprintRecognition.description': 'Benutzeridentität durch Stimmerkennungstechnologie verifizieren, bietet sichere Sprachiinteraktion',
+  'feature.voiceClone.name': 'Stimmenklon',
+  'feature.voiceClone.description': 'Spezifische Stimmfarbe mit KI-Technologie klonen, um personalisierte Sprachsynthese zu ermöglichen',
+  'feature.knowledgeBase.name': 'Wissensbasis',
+  'feature.knowledgeBase.description': 'Wissensbasissystem aufbauen und verwalten, um professionelle Wissensunterstützung für KI-Assistenten zu bieten',
+  'feature.mcpAccessPoint.name': 'MCP-Zugangspunkt',
+  'feature.mcpAccessPoint.description': 'MCP-Protokoll-Zugangspunkte bereitstellen, um Integration externer Tools und Dienste zu unterstützen',
+  'feature.vad.name': 'Sprachaktivitätserkennung',
+  'feature.vad.description': 'Sprachaktivität automatisch erkennen, um die Effizienz der Sprachiinteraktion zu optimieren',
+  'feature.asr.name': 'Spracherkennung',
+  'feature.asr.description': 'Sprache in Text umwandeln, um natürliche Sprachinteraktionsfunktionalität zu ermöglichen',
+
 }

main/manager-web/src/i18n/en.js

@@ -22,6 +22,7 @@ export default {
   'header.clearHistory': 'Clear History',
   'header.providerManagement': 'Provider Management',
   'header.serverSideManagement': 'Server Management',
+  'header.featureManagement': 'System Feature Management',
   'header.changePassword': 'Change Password',
   'header.logout': 'Logout',
   'header.searchPlaceholder': 'Search by name..',
@@ -229,6 +230,26 @@ export default {
   'voicePrintDialog.requiredName': 'Please enter name',
   'voicePrintDialog.requiredAudioVector': 'Please select audio vector',
 
+  // Context provider dialog related
+  'contextProviderDialog.title': 'Edit Source',
+  'contextProviderDialog.noContextApi': 'No Context API',
+  'contextProviderDialog.add': 'Add',
+  'contextProviderDialog.apiUrl': 'API URL',
+  'contextProviderDialog.apiUrlPlaceholder': 'http://api.example.com/data',
+  'contextProviderDialog.requestHeaders': 'Request Headers',
+  'contextProviderDialog.headerKeyPlaceholder': 'Key',
+  'contextProviderDialog.headerValuePlaceholder': 'Value',
+  'contextProviderDialog.noHeaders': 'No Headers',
+  'contextProviderDialog.addHeader': 'Add Header',
+  'contextProviderDialog.cancel': 'Cancel',
+  'contextProviderDialog.confirm': 'Confirm',
+
+  // Role config page - context provider related
+  'roleConfig.contextProvider': 'Context',
+  'roleConfig.contextProviderSuccess': 'Successfully added {count} sources.',
+  'roleConfig.contextProviderDocLink': 'How to deploy context provider',
+  'roleConfig.editContextProvider': 'Edit Source',
+
   // Voice print page related
   'voicePrint.pageTitle': 'Voice Print Recognition',
   'voicePrint.name': 'Name',
@@ -692,7 +713,7 @@ export default {
   'paramManagement.deleteFailed': 'Deletion failed, please try again',
   'paramManagement.operationCancelled': 'Deletion cancelled',
   'paramManagement.operationClosed': 'Operation closed',
-  'paramManagement.updateSuccess': 'Update successful',
+  'paramManagement.updateSuccess': 'Update successful. Some configurations will take effect only after restarting the xiaozhi-server module.',
   'paramManagement.addSuccess': 'Add successful',
   'paramManagement.updateFailed': 'Update failed',
   'paramManagement.addFailed': 'Add failed',
@@ -831,7 +852,7 @@ export default {
   'modelConfig.enableSuccess': 'Enable successful',
   'modelConfig.disableSuccess': 'Disable successful',
   'modelConfig.operationFailed': 'Operation failed',
-  'modelConfig.setDefaultSuccess': 'Set default model successful',
+  'modelConfig.setDefaultSuccess': 'Set default model successful, please restart the xiaozhi-server module manually in time',
   'modelConfig.itemsPerPage': '{items} items/page',
   'modelConfig.firstPage': 'First Page',
   'modelConfig.prevPage': 'Previous Page',
@@ -1262,4 +1283,35 @@ export default {
   'knowledgeFileUpload.content': 'Content:',
   'knowledgeFileUpload.testQuestionRequired': 'Please enter test question',
   'knowledgeBaseDialog.descriptionRequired': 'Please enter knowledge base description',
+
+  // Feature Management page text
+  'featureManagement.selectAll': 'Select All',
+  'featureManagement.deselectAll': 'Deselect All',
+  'featureManagement.save': 'Save Configuration',
+  'featureManagement.reset': 'Reset',
+  'featureManagement.group.featureManagement': 'Enable/Disable the feature/section',
+  'featureManagement.group.voiceManagement': 'Visible to users during agent configuration',
+  'featureManagement.noFeatures': 'No features available',
+  'featureManagement.contactAdmin': 'Please contact administrator to configure features',
+  'featureManagement.saveSuccess': 'Feature configuration saved successfully',
+  'featureManagement.resetConfirm': 'Are you sure you want to reset all feature configurations?',
+  'featureManagement.confirm': 'Confirm',
+  'featureManagement.cancel': 'Cancel',
+  'featureManagement.resetSuccess': 'Feature configuration reset successfully',
+  'featureManagement.noChanges': 'No changes to save',
+
+  // Feature names and descriptions
+  'feature.voiceprintRecognition.name': 'Voiceprint Recognition',
+  'feature.voiceprintRecognition.description': 'Verify user identity through voiceprint recognition technology, providing secure voice interaction experience',
+  'feature.voiceClone.name': 'Voice Clone',
+  'feature.voiceClone.description': 'Clone specific voice timbre using AI technology to achieve personalized voice synthesis',
+  'feature.knowledgeBase.name': 'Knowledge Base',
+  'feature.knowledgeBase.description': 'Build and manage knowledge base system to provide professional knowledge support for AI assistants',
+  'feature.mcpAccessPoint.name': 'MCP Access Point',
+  'feature.mcpAccessPoint.description': 'Provide MCP protocol access points to support integration of external tools and services',
+  'feature.vad.name': 'Voice Activity Detection',
+  'feature.vad.description': 'Automatically detect voice activity to optimize voice interaction response efficiency',
+  'feature.asr.name': 'Speech Recognition',
+  'feature.asr.description': 'Convert speech to text to enable natural language interaction functionality',
+
 }

main/manager-web/src/i18n/vi.js

@@ -22,6 +22,7 @@ export default {
   'header.clearHistory': 'Xóa lịch sử',
   'header.providerManagement': 'Quản lý nhà cung cấp',
   'header.serverSideManagement': 'Quản lý máy chủ',
+  'header.featureManagement': 'Cấu hình chức năng hệ thống',
   'header.changePassword': 'Đổi mật khẩu',
   'header.logout': 'Đăng xuất',
   'header.searchPlaceholder': 'Tìm kiếm theo tên..',
@@ -229,6 +230,26 @@ export default {
   'voicePrintDialog.requiredName': 'Vui lòng nhập tên',
   'voicePrintDialog.requiredAudioVector': 'Vui lòng chọn vector âm thanh',
 
+  // Context provider dialog related
+  'contextProviderDialog.title': 'Chỉnh sửa nguồn',
+  'contextProviderDialog.noContextApi': 'Không có API ngữ cảnh',
+  'contextProviderDialog.add': 'Thêm',
+  'contextProviderDialog.apiUrl': 'Địa chỉ API',
+  'contextProviderDialog.apiUrlPlaceholder': 'http://api.example.com/data',
+  'contextProviderDialog.requestHeaders': 'Header yêu cầu',
+  'contextProviderDialog.headerKeyPlaceholder': 'Khóa',
+  'contextProviderDialog.headerValuePlaceholder': 'Giá trị',
+  'contextProviderDialog.noHeaders': 'Không có Headers',
+  'contextProviderDialog.addHeader': 'Thêm Header',
+  'contextProviderDialog.cancel': 'Hủy bỏ',
+  'contextProviderDialog.confirm': 'Xác nhận',
+
+  // Role config page - context provider related
+  'roleConfig.contextProvider': 'Bối cảnh',
+  'roleConfig.contextProviderSuccess': 'Đã thêm thành công {count} nguồn.',
+  'roleConfig.contextProviderDocLink': 'Cách triển khai nguồn ngữ cảnh',
+  'roleConfig.editContextProvider': 'Chỉnh sửa nguồn',
+
   // Voice print page related
   'voicePrint.pageTitle': 'Nhận dạng dấu giọng nói',
   'voicePrint.name': 'Tên',
@@ -692,7 +713,7 @@ export default {
   'paramManagement.deleteFailed': 'Xóa thất bại, vui lòng thử lại',
   'paramManagement.operationCancelled': 'Đã hủy xóa',
   'paramManagement.operationClosed': 'Đã đóng thao tác',
-  'paramManagement.updateSuccess': 'Cập nhật thành công',
+  'paramManagement.updateSuccess': 'Cập nhật thành công. Một số cấu hình chỉ có hiệu lực sau khi khởi động lại mô-đun xiaozhi-server.',
   'paramManagement.addSuccess': 'Thêm thành công',
   'paramManagement.updateFailed': 'Cập nhật thất bại',
   'paramManagement.addFailed': 'Thêm thất bại',
@@ -831,7 +852,7 @@ export default {
   'modelConfig.enableSuccess': 'Bật thành công',
   'modelConfig.disableSuccess': 'Tắt thành công',
   'modelConfig.operationFailed': 'Thao tác thất bại',
-  'modelConfig.setDefaultSuccess': 'Đặt mô hình mặc định thành công',
+  'modelConfig.setDefaultSuccess': 'Đặt mô hình mặc định thành công, vui lòng khởi động lại module xiaozhi-server thủ công kịp thời',
   'modelConfig.itemsPerPage': '{items} mục/trang',
   'modelConfig.firstPage': 'Trang đầu',
   'modelConfig.prevPage': 'Trang trước',
@@ -1262,4 +1283,35 @@ export default {
   'knowledgeFileUpload.content': 'Nội dung:',
   'knowledgeFileUpload.testQuestionRequired': 'Vui lòng nhập câu hỏi kiểm tra',
   'knowledgeBaseDialog.descriptionRequired': 'Vui lòng nhập mô tả cơ sở kiến thức',
+
+  // Feature Management page text
+  'featureManagement.selectAll': 'Chọn tất cả',
+  'featureManagement.deselectAll': 'Bỏ chọn tất cả',
+  'featureManagement.save': 'Lưu cấu hình',
+  'featureManagement.reset': 'Đặt lại',
+  'featureManagement.group.featureManagement': 'Có bật tính năng/khối này lên hay không',
+  'featureManagement.group.voiceManagement': 'Khi cấu hình agent, có hiển thị với người dùng hay không',
+  'featureManagement.noFeatures': 'Chưa có tính năng nào',
+  'featureManagement.contactAdmin': 'Vui lòng liên hệ quản trị viên để cấu hình tính năng',
+  'featureManagement.saveSuccess': 'Cấu hình tính năng đã được lưu thành công',
+  'featureManagement.resetConfirm': 'Bạn có chắc chắn muốn đặt lại tất cả cấu hình tính năng?',
+  'featureManagement.confirm': 'Xác nhận',
+  'featureManagement.cancel': 'Hủy bỏ',
+  'featureManagement.resetSuccess': 'Cấu hình tính năng đã được đặt lại thành công',
+  'featureManagement.noChanges': 'Không có thay đổi nào để lưu',
+
+  // Feature names and descriptions
+  'feature.voiceprintRecognition.name': 'Nhận dạng giọng nói',
+  'feature.voiceprintRecognition.description': 'Xác minh danh tính người dùng thông qua công nghệ nhận dạng giọng nói, cung cấp trải nghiệm tương tác giọng nói an toàn',
+  'feature.voiceClone.name': 'Nhân bản âm sắc',
+  'feature.voiceClone.description': 'Sử dụng công nghệ AI để nhân bản âm sắc cụ thể, đạt được tổng hợp giọng nói cá nhân hóa',
+  'feature.knowledgeBase.name': 'Cơ sở kiến thức',
+  'feature.knowledgeBase.description': 'Xây dựng và quản lý hệ thống cơ sở kiến thức, cung cấp hỗ trợ kiến thức chuyên môn cho trợ lý AI',
+  'feature.mcpAccessPoint.name': 'Điểm truy cập MCP',
+  'feature.mcpAccessPoint.description': 'Cung cấp điểm truy cập giao thức MCP, hỗ trợ tích hợp các công cụ và dịch vụ bên ngoài',
+  'feature.vad.name': 'Phát hiện hoạt động giọng nói',
+  'feature.vad.description': 'Tự động phát hiện hoạt động giọng nói, tối ưu hóa hiệu suất phản hồi tương tác giọng nói',
+  'feature.asr.name': 'Nhận dạng giọng nói',
+  'feature.asr.description': 'Chuyển đổi giọng nói thành văn bản, thực hiện chức năng tương tác ngôn ngữ tự nhiên',
+
 }

main/manager-web/src/i18n/zh_CN.js

@@ -22,6 +22,7 @@ export default {
   'header.clearHistory': '清空历史',
   'header.providerManagement': '字段管理',
   'header.serverSideManagement': '服务端管理',
+  'header.featureManagement': '系统功能配置',
   'header.changePassword': '修改密码',
   'header.logout': '退出登录',
   'header.searchPlaceholder': '输入名称搜索..',
@@ -229,6 +230,26 @@ export default {
   'voicePrintDialog.requiredName': '请输入姓名',
   'voicePrintDialog.requiredAudioVector': '请选择音频向量',
 
+  // 上下文源对话框相关
+  'contextProviderDialog.title': '编辑源',
+  'contextProviderDialog.noContextApi': '暂无上下文API',
+  'contextProviderDialog.add': '添加',
+  'contextProviderDialog.apiUrl': '接口地址',
+  'contextProviderDialog.apiUrlPlaceholder': 'http://api.example.com/data',
+  'contextProviderDialog.requestHeaders': '请求头',
+  'contextProviderDialog.headerKeyPlaceholder': 'Key',
+  'contextProviderDialog.headerValuePlaceholder': 'Value',
+  'contextProviderDialog.noHeaders': '暂无 Headers',
+  'contextProviderDialog.addHeader': '添加 Header',
+  'contextProviderDialog.cancel': '取消',
+  'contextProviderDialog.confirm': '确定',
+
+  // 角色配置页面-上下文源相关
+  'roleConfig.contextProvider': '上下文源',
+  'roleConfig.contextProviderSuccess': '已成功添加 {count} 个源。',
+  'roleConfig.contextProviderDocLink': '如何部署上下文源',
+  'roleConfig.editContextProvider': '编辑源',
+
   // 声纹页面相关
   'voicePrint.pageTitle': '声纹识别',
   'voicePrint.name': '姓名',
@@ -692,7 +713,7 @@ export default {
   'paramManagement.deleteFailed': '删除失败，请重试',
   'paramManagement.operationCancelled': '已取消删除操作',
   'paramManagement.operationClosed': '操作已关闭',
-  'paramManagement.updateSuccess': '修改成功',
+  'paramManagement.updateSuccess': '修改成功，部分配置需重启xiaozhi-server模块才生效',
   'paramManagement.addSuccess': '新增成功',
   'paramManagement.updateFailed': '更新失败',
   'paramManagement.addFailed': '新增失败',
@@ -831,7 +852,7 @@ export default {
   'modelConfig.enableSuccess': '启用成功',
   'modelConfig.disableSuccess': '禁用成功',
   'modelConfig.operationFailed': '操作失败',
-  'modelConfig.setDefaultSuccess': '设置默认模型成功',
+  'modelConfig.setDefaultSuccess': '设置默认模型成功，请及时手动重启xiaozhi-server模块',
   'modelConfig.itemsPerPage': '{items}条/页',
   'modelConfig.firstPage': '首页',
   'modelConfig.prevPage': '上一页',
@@ -1262,4 +1283,35 @@ export default {
   'knowledgeFileUpload.content': '内容:',
   'knowledgeFileUpload.testQuestionRequired': '请输入测试问题',
   'knowledgeBaseDialog.descriptionRequired': '请输入知识库描述',
+
+  // 系统功能配置页面文本
+  'featureManagement.selectAll': '全选',
+  'featureManagement.deselectAll': '取消全选',
+  'featureManagement.save': '保存配置',
+  'featureManagement.reset': '重置',
+  'featureManagement.group.featureManagement': '是否开启功能/板块',
+  'featureManagement.group.voiceManagement': '配置智能体时是否对用户可见',
+  'featureManagement.noFeatures': '暂无功能',
+  'featureManagement.contactAdmin': '请联系管理员配置功能',
+  'featureManagement.saveSuccess': '功能配置保存成功',
+  'featureManagement.resetConfirm': '确定要重置所有功能配置吗？',
+  'featureManagement.confirm': '确定',
+  'featureManagement.cancel': '取消',
+  'featureManagement.resetSuccess': '功能配置重置成功',
+  'featureManagement.noChanges': '没有需要保存的更改',
+
+  // 功能名称和描述
+  'feature.voiceprintRecognition.name': '声纹识别',
+  'feature.voiceprintRecognition.description': '通过声纹识别技术验证用户身份，提供安全的语音交互体验',
+  'feature.voiceClone.name': '音色克隆',
+  'feature.voiceClone.description': '使用AI技术克隆特定音色，实现个性化语音合成',
+  'feature.knowledgeBase.name': '知识库',
+  'feature.knowledgeBase.description': '构建和管理知识库系统，为AI助手提供专业知识支持',
+  'feature.mcpAccessPoint.name': 'MCP接入点',
+  'feature.mcpAccessPoint.description': '提供MCP协议接入点，支持外部工具和服务的集成',
+  'feature.vad.name': '语音活动检测',
+  'feature.vad.description': '自动检测语音活动，优化语音交互的响应效率',
+  'feature.asr.name': '语音识别',
+  'feature.asr.description': '将语音转换为文本，实现自然语言交互功能',
+
 }

main/manager-web/src/i18n/zh_TW.js

@@ -22,6 +22,7 @@ export default {
   'header.clearHistory': '清空歷史',
   'header.providerManagement': '字段管理',
   'header.serverSideManagement': '服務端管理',
+  'header.featureManagement': '系統功能配置',
   'header.changePassword': '修改密碼',
   'header.logout': '退出登錄',
   'header.searchPlaceholder': '輸入名稱搜索..',
@@ -229,6 +230,26 @@ export default {
   'voicePrintDialog.requiredName': '請輸入姓名',
   'voicePrintDialog.requiredAudioVector': '請選擇音頻向量',
 
+  // 上下文源對話框相關
+  'contextProviderDialog.title': '編輯源',
+  'contextProviderDialog.noContextApi': '暫無上下文API',
+  'contextProviderDialog.add': '添加',
+  'contextProviderDialog.apiUrl': '接口地址',
+  'contextProviderDialog.apiUrlPlaceholder': 'http://api.example.com/data',
+  'contextProviderDialog.requestHeaders': '請求頭',
+  'contextProviderDialog.headerKeyPlaceholder': 'Key',
+  'contextProviderDialog.headerValuePlaceholder': 'Value',
+  'contextProviderDialog.noHeaders': '暫無 Headers',
+  'contextProviderDialog.addHeader': '添加 Header',
+  'contextProviderDialog.cancel': '取消',
+  'contextProviderDialog.confirm': '確定',
+
+  // 角色配置頁面-上下文源相關
+  'roleConfig.contextProvider': '上下文源',
+  'roleConfig.contextProviderSuccess': '已成功添加 {count} 個源。',
+  'roleConfig.contextProviderDocLink': '如何部署上下文源',
+  'roleConfig.editContextProvider': '編輯源',
+
   // 聲紋頁面相關
   'voicePrint.pageTitle': '聲紋識別',
   'voicePrint.name': '姓名',
@@ -692,7 +713,7 @@ export default {
   'paramManagement.deleteFailed': '刪除失敗，請重試',
   'paramManagement.operationCancelled': '已取消刪除操作',
   'paramManagement.operationClosed': '操作已關閉',
-  'paramManagement.updateSuccess': '修改成功',
+  'paramManagement.updateSuccess': '修改成功，部分配置需重啟xiaozhi-server模組才生效',
   'paramManagement.addSuccess': '新增成功',
   'paramManagement.updateFailed': '更新失敗',
   'paramManagement.addFailed': '新增失敗',
@@ -831,7 +852,7 @@ export default {
   'modelConfig.enableSuccess': '啟用成功',
   'modelConfig.disableSuccess': '禁用成功',
   'modelConfig.operationFailed': '操作失敗',
-  'modelConfig.setDefaultSuccess': '設置默認模型成功',
+  'modelConfig.setDefaultSuccess': '設置默認模型成功，請及時手動重啟xiaozhi-server模組',
   'modelConfig.itemsPerPage': '{items}條/頁',
   'modelConfig.firstPage': '首頁',
   'modelConfig.prevPage': '上一頁',
@@ -1262,4 +1283,35 @@ export default {
   'knowledgeFileUpload.content': '內容:',
   'knowledgeFileUpload.testQuestionRequired': '請輸入測試問題',
   'knowledgeBaseDialog.descriptionRequired': '請輸入知识库描述',
+
+  // 功能管理頁面文本
+  'featureManagement.selectAll': '全選',
+  'featureManagement.deselectAll': '取消全選',
+  'featureManagement.save': '儲存配置',
+  'featureManagement.reset': '重置',
+  'featureManagement.group.featureManagement': '是否開啟功能/板块',
+  'featureManagement.group.voiceManagement': '配置智能体時是否對用戶可見',
+  'featureManagement.noFeatures': '暫無功能',
+  'featureManagement.contactAdmin': '請聯繫管理員配置功能',
+  'featureManagement.saveSuccess': '功能配置儲存成功',
+  'featureManagement.resetConfirm': '確定要重置所有功能配置嗎？',
+  'featureManagement.confirm': '確定',
+  'featureManagement.cancel': '取消',
+  'featureManagement.resetSuccess': '功能配置重置成功',
+  'featureManagement.noChanges': '沒有需要儲存的更改',
+
+  // 功能名稱和描述
+  'feature.voiceprintRecognition.name': '聲紋識別',
+  'feature.voiceprintRecognition.description': '通過聲紋識別技術驗證用戶身份，提供安全的語音交互體驗',
+  'feature.voiceClone.name': '音色複刻',
+  'feature.voiceClone.description': '使用AI技術複刻特定音色，實現個性化語音合成',
+  'feature.knowledgeBase.name': '知識庫',
+  'feature.knowledgeBase.description': '構建和管理知識庫系統，為AI助手提供專業知識支持',
+  'feature.mcpAccessPoint.name': 'MCP接入點',
+  'feature.mcpAccessPoint.description': '提供MCP協議接入點，支持外部工具和服務的整合',
+  'feature.vad.name': '語音活動檢測',
+  'feature.vad.description': '自動檢測語音活動，優化語音交互的響應效率',
+  'feature.asr.name': '語音識別',
+  'feature.asr.description': '將語音轉換為文本，實現自然語言交互功能',
+
 }

main/manager-web/src/main.js

@@ -8,6 +8,7 @@ import store from './store';
 import i18n from './i18n';
 import './styles/global.scss';
 import { register as registerServiceWorker } from './registerServiceWorker';
+import featureManager from './utils/featureManager';
 
 // 创建事件总线，用于组件间通信
 Vue.prototype.$eventBus = new Vue();

main/manager-web/src/router/index.js

@@ -76,7 +76,8 @@ const routes = [
       return import('../views/ModelConfig.vue')
     }
   },
-  { path: '/params-management',
+  {
+    path: '/params-management',
     name: 'ParamsManagement',
     component: function () {
       return import('../views/ParamsManagement.vue')
@@ -86,7 +87,8 @@ const routes = [
       title: '参数管理'
     }
   },
-  { path: '/knowledge-base-management',
+  {
+    path: '/knowledge-base-management',
     name: 'KnowledgeBaseManagement',
     component: function () {
       return import('../views/KnowledgeBaseManagement.vue')
@@ -96,7 +98,8 @@ const routes = [
       title: '知识库管理'
     }
   },
-  { path: '/knowledge-file-upload',
+  {
+    path: '/knowledge-file-upload',
     name: 'KnowledgeFileUpload',
     component: function () {
       return import('../views/KnowledgeFileUpload.vue')
@@ -181,6 +184,18 @@ const routes = [
       return import('../views/TemplateQuickConfig.vue')
     }
   },
+  // 功能配置页面路由
+  {
+    path: '/feature-management',
+    name: 'FeatureManagement',
+    component: function () {
+      return import('../views/FeatureManagement.vue')
+    },
+    meta: {
+      requiresAuth: true,
+      title: '功能配置'
+    }
+  },
 ]
 const router = new VueRouter({
   base: process.env.VUE_APP_PUBLIC_PATH || '/',

main/manager-web/src/utils/featureManager.js

@@ -0,0 +1,340 @@
+//功能配置工具
+import Api from "@/apis/api";
+
+class FeatureManager {
+    constructor() {
+        this.defaultFeatures = {
+            voiceprintRecognition: {
+                name: 'feature.voiceprintRecognition.name',
+                enabled: false,
+                description: 'feature.voiceprintRecognition.description'
+            },
+            voiceClone: {
+                name: 'feature.voiceClone.name',
+                enabled: false,
+                description: 'feature.voiceClone.description'
+            },
+            knowledgeBase: {
+                name: 'feature.knowledgeBase.name',
+                enabled: false,
+                description: 'feature.knowledgeBase.description'
+            },
+            mcpAccessPoint: {
+                name: 'feature.mcpAccessPoint.name',
+                enabled: false,
+                description: 'feature.mcpAccessPoint.description'
+            },
+            vad: {
+                name: 'feature.vad.name',
+                enabled: false,
+                description: 'feature.vad.description'
+            },
+            asr: {
+                name: 'feature.asr.name',
+                enabled: false,
+                description: 'feature.asr.description'
+            }
+        };
+        this.currentFeatures = { ...this.defaultFeatures }; // 当前内存中的配置
+        this.initialized = false;
+        this.initPromise = null;
+    }
+
+    /**
+     * 等待初始化完成
+     */
+    async waitForInitialization() {
+        if (!this.initPromise) {
+            this.initPromise = this.init();
+        }
+        await this.initPromise;
+        return this.initialized;
+    }
+
+    /**
+     * 初始化功能配置
+     */
+    async init() {
+        try {
+            // 从pub-config接口获取配置
+            const config = await this.getConfigFromPubConfig();
+            if (config) {
+                this.currentFeatures = { ...config }; // 保存到内存
+                this.initialized = true;
+                return;
+            }
+        } catch (error) {
+            console.warn('从pub-config接口获取配置失败:', error);
+        }
+
+        // pub-config接口失败，使用默认配置
+        this.currentFeatures = { ...this.defaultFeatures }; // 保存默认配置到内存
+        this.initialized = true;
+    }
+
+
+
+    /**
+     * 从pub-config接口获取配置
+     */
+    async getConfigFromPubConfig() {
+        return new Promise((resolve) => {
+            // 直接调用pub-config接口获取配置
+            Api.user.getPubConfig((result) => {
+                // 检查返回结果的结构
+                if (result && result.status === 200) {
+                    // 检查是否有data字段
+                    if (result.data) {
+                        // 检查是否有code字段，如果有则按照code判断
+                        if (result.data.code !== undefined) {
+                            if (result.data.code === 0 && result.data.data && result.data.data.systemWebMenu) {
+                                try {
+                                    let config;
+                                    if (typeof result.data.data.systemWebMenu === 'string') {
+                                        // 如果是字符串，需要解析JSON
+                                        config = JSON.parse(result.data.data.systemWebMenu);
+                                    } else {
+                                        // 如果已经是对象，直接使用
+                                        config = result.data.data.systemWebMenu;
+                                    }
+
+                                    // 检查配置中是否包含features对象
+                                    if (config && config.features) {
+                                        // 确保knowledgeBase功能存在且配置正确
+                                        if (!config.features.knowledgeBase) {
+                                            console.warn('配置中缺少knowledgeBase功能，合并默认配置');
+                                            config.features = { ...this.defaultFeatures, ...config.features };
+                                        }
+                                        resolve(config.features);
+                                    } else {
+                                        console.warn('配置中缺少features对象，使用默认配置');
+                                        resolve(this.defaultFeatures);
+                                    }
+                                } catch (error) {
+                                    console.warn('处理systemWebMenu配置失败:', error);
+                                    resolve(null);
+                                }
+                            } else {
+                                console.warn('接口返回code不为0或缺少必要数据，使用默认配置');
+                                resolve(null);
+                            }
+                        } else {
+                            // 如果没有code字段，直接检查systemWebMenu
+                            if (result.data && result.data.systemWebMenu) {
+                                try {
+                                    let config;
+                                    if (typeof result.data.systemWebMenu === 'string') {
+                                        // 如果是字符串，需要解析JSON
+                                        config = JSON.parse(result.data.systemWebMenu);
+                                    } else {
+                                        // 如果已经是对象，直接使用
+                                        config = result.data.systemWebMenu;
+                                    }
+
+                                    // 检查配置中是否包含features对象
+                                    if (config && config.features) {
+                                        // 确保knowledgeBase功能存在且配置正确
+                                        if (!config.features.knowledgeBase) {
+                                            console.warn('配置中缺少knowledgeBase功能，合并默认配置');
+                                            config.features = { ...this.defaultFeatures, ...config.features };
+                                        }
+                                        resolve(config.features);
+                                    } else {
+                                        console.warn('配置中缺少features对象，使用默认配置');
+                                        resolve(this.defaultFeatures);
+                                    }
+                                } catch (error) {
+                                    console.warn('处理systemWebMenu配置失败:', error);
+                                    resolve(null);
+                                }
+                            } else {
+                                console.warn('接口返回缺少systemWebMenu数据，使用默认配置');
+                                resolve(null);
+                            }
+                        }
+                    } else {
+                        console.warn('接口返回数据中缺少data字段，使用默认配置');
+                        resolve(null);
+                    }
+                } else {
+                    console.warn('pub-config接口调用失败，使用默认配置');
+                    resolve(null);
+                }
+            });
+        });
+    }
+
+    /**
+     * 获取当前配置
+     */
+    getCurrentConfig() {
+        // 返回内存中的当前配置
+        return this.currentFeatures;
+    }
+
+    /**
+     * 保存配置到后端API
+     */
+    async saveConfig(config) {
+        try {
+            // 更新内存中的配置
+            this.currentFeatures = { ...config };
+
+            // 异步保存到后端API
+            this.saveConfigToAPI(config).catch(error => {
+                console.warn('保存配置到API失败:', error);
+            });
+
+            // 触发配置变更事件
+            window.dispatchEvent(new CustomEvent('featureConfigChanged', {
+                detail: config
+            }));
+        } catch (error) {
+            console.error('保存功能配置失败:', error);
+        }
+    }
+
+    /**
+     * 保存配置到后端API
+     */
+    async saveConfigToAPI(config) {
+        return new Promise((resolve) => {
+            // 直接使用已知的ID（600）更新参数
+            Api.admin.updateParam(
+                {
+                    id: 600,
+                    paramCode: 'system-web.menu',
+                    paramValue: JSON.stringify({
+                        features: config,
+                        groups: {
+                            featureManagement: ["voiceprintRecognition", "voiceClone", "knowledgeBase", "mcpAccessPoint"],
+                            voiceManagement: ["vad", "asr"]
+                        }
+                    }),
+                    valueType: 'json',
+                    remark: '系统功能菜单配置'
+                },
+                (updateResult) => {
+                    if (updateResult.code === 0) {
+                        resolve();
+                    } else {
+                        // 如果更新失败，可能是参数不存在或其他错误，记录但不阻止保存到localStorage
+                        console.warn('更新参数失败:', updateResult.msg);
+                        resolve(); // 不阻止保存到localStorage
+                    }
+                },
+                (error) => {
+                    console.warn('更新参数失败:', error);
+                    resolve(); // 不阻止保存到localStorage
+                }
+            );
+        });
+    }
+
+
+
+    /**
+     * 获取所有功能配置
+     */
+    getAllFeatures() {
+        return this.getCurrentConfig();
+    }
+
+    /**
+     * 获取简化的配置对象（用于首页组件）
+     */
+    getConfig() {
+        const features = this.getAllFeatures();
+        return {
+            voiceprintRecognition: features.voiceprintRecognition?.enabled || false,
+            voiceClone: features.voiceClone?.enabled || false,
+            knowledgeBase: features.knowledgeBase?.enabled || false,
+            mcpAccessPoint: features.mcpAccessPoint?.enabled || false,
+            vad: features.vad?.enabled || false,
+            asr: features.asr?.enabled || false
+        };
+    }
+
+    /**
+     * 获取指定功能的状态
+     */
+    getFeatureStatus(featureKey) {
+        const features = this.getAllFeatures();
+        return features[featureKey]?.enabled || false;
+    }
+
+    /**
+     * 设置功能状态
+     */
+    setFeatureStatus(featureKey, enabled) {
+        const features = this.getAllFeatures();
+        if (features[featureKey]) {
+            features[featureKey].enabled = enabled;
+            this.saveConfig(features);
+            return true;
+        }
+        return false;
+    }
+
+    /**
+     * 启用功能
+     */
+    enableFeature(featureKey) {
+        return this.setFeatureStatus(featureKey, true);
+    }
+
+    /**
+     * 禁用功能
+     */
+    disableFeature(featureKey) {
+        return this.setFeatureStatus(featureKey, false);
+    }
+
+    /**
+     * 切换功能状态
+     */
+    toggleFeature(featureKey) {
+        const currentStatus = this.getFeatureStatus(featureKey);
+        return this.setFeatureStatus(featureKey, !currentStatus);
+    }
+
+    /**
+     * 重置所有功能为默认状态
+     */
+    resetToDefault() {
+        this.saveConfig(this.defaultFeatures);
+    }
+
+    /**
+     * 批量更新功能状态
+     */
+    updateFeatures(featureUpdates) {
+        const features = this.getAllFeatures();
+        Object.keys(featureUpdates).forEach(featureKey => {
+            if (features[featureKey]) {
+                features[featureKey].enabled = featureUpdates[featureKey];
+            }
+        });
+        this.saveConfig(features);
+    }
+
+    /**
+     * 获取已启用的功能列表
+     */
+    getEnabledFeatures() {
+        const features = this.getAllFeatures();
+        return Object.keys(features).filter(key => features[key].enabled);
+    }
+
+    /**
+     * 检查功能是否启用
+     */
+    isFeatureEnabled(featureKey) {
+        return this.getFeatureStatus(featureKey);
+    }
+}
+
+// 创建单例实例
+const featureManager = new FeatureManager();
+
+export default featureManager;

main/manager-web/src/views/FeatureManagement.vue

@@ -0,0 +1,601 @@
+<template>
+  <div class="welcome">
+    <HeaderBar />
+
+    <div class="operation-bar">
+          <h2 class="page-title">{{ $t('header.featureManagement') }}</h2>
+        </div>
+
+    <div class="main-wrapper">
+      <div class="content-panel">
+        <div class="content-area">
+          <el-card class="feature-card" shadow="never">
+            <div class="config-header">
+              <div class="header-icon">
+                <img loading="lazy" src="@/assets/home/equipment.png" alt="" />
+              </div>
+              <div class="header-actions">
+                <el-button @click="!isSaving && toggleSelectAll()" class="btn-select-all" :disabled="isSaving">
+                  {{ isAllSelected ? $t('featureManagement.deselectAll') : $t('featureManagement.selectAll') }}
+                </el-button>
+                <el-button type="primary" class="save-btn" @click="handleSave" :disabled="isSaving">
+                  {{ isSaving ? $t('featureManagement.saving') : $t('featureManagement.save') }}
+                </el-button>
+                <el-button class="reset-btn" @click="handleReset" :disabled="isSaving">
+                  {{ $t('featureManagement.reset') }}
+                </el-button>
+              </div>
+            </div>
+            <div class="divider"></div>
+            
+            <!-- 功能分组容器 - 左右布局 -->
+            <div class="feature-groups-container">
+              <!-- 功能管理分组 -->
+              <div v-if="featureManagementFeatures.length > 0" class="feature-group">
+                <h3 class="group-title">{{ $t('featureManagement.group.featureManagement') }}</h3>
+                <div class="features-grid">
+                  <div
+                    v-for="feature in featureManagementFeatures"
+                    :key="feature.id"
+                    class="feature-card-item"
+                    :class="{ 'feature-enabled': feature.enabled, 'feature-disabled': isSaving }"
+                    @click="!isSaving && toggleFeature(feature)"
+                  >
+                    <div class="feature-header">
+                      <h3 class="feature-name">{{ $t(`feature.${feature.id}.name`) }}</h3>
+                      <el-checkbox
+                        v-model="feature.enabled"
+                        @change="!isSaving && toggleFeature(feature)"
+                        class="feature-checkbox"
+                        :disabled="isSaving"
+                      />
+                    </div>
+                    <p class="feature-description">{{ $t(`feature.${feature.id}.description`) }}</p>
+                  </div>
+                </div>
+              </div>
+              
+              <!-- 语音管理分组 -->
+              <div v-if="voiceManagementFeatures.length > 0" class="feature-group">
+                <h3 class="group-title">{{ $t('featureManagement.group.voiceManagement') }}</h3>
+                <div class="features-grid">
+                  <div
+                    v-for="feature in voiceManagementFeatures"
+                    :key="feature.id"
+                    class="feature-card-item"
+                    :class="{ 'feature-enabled': feature.enabled, 'feature-disabled': isSaving }"
+                    @click="!isSaving && toggleFeature(feature)"
+                  >
+                    <div class="feature-header">
+                      <h3 class="feature-name">{{ $t(`feature.${feature.id}.name`) }}</h3>
+                      <el-checkbox
+                        v-model="feature.enabled"
+                        @change="!isSaving && toggleFeature(feature)"
+                        class="feature-checkbox"
+                        :disabled="isSaving"
+                      />
+                    </div>
+                    <p class="feature-description">{{ $t(`feature.${feature.id}.description`) }}</p>
+                  </div>
+                </div>
+              </div>
+            </div>
+            
+            <div v-if="filteredFeatures.length === 0" class="empty-state">
+              <el-empty :description="$t('featureManagement.noFeatures')">
+                <p class="empty-tip">{{ $t('featureManagement.contactAdmin') }}</p>
+              </el-empty>
+            </div>
+          </el-card>
+        </div>
+      </div>
+    </div>
+
+    <el-footer>
+      <VersionFooter />
+    </el-footer>
+  </div>
+</template>
+
+<script>
+import HeaderBar from "@/components/HeaderBar.vue";
+import VersionFooter from "@/components/VersionFooter.vue";
+import featureManager from "@/utils/featureManager.js";
+
+export default {
+  name: "FeatureManagement",
+  components: {
+    HeaderBar,
+    VersionFooter
+  },
+  data() {
+    return {
+      pendingChanges: false,
+      featureManagementFeatures: [],
+      voiceManagementFeatures: [],
+      isSaving: false // 添加保存状态锁定
+    }
+  },
+  computed: {
+    // 所有功能列表
+    filteredFeatures() {
+      return [...this.featureManagementFeatures, ...this.voiceManagementFeatures]
+    },
+    
+    // 判断是否所有功能都已选中
+    isAllSelected() {
+      const allFeatures = [...this.featureManagementFeatures, ...this.voiceManagementFeatures]
+      return allFeatures.length > 0 && allFeatures.every(feature => feature.enabled)
+    }
+  },
+  async created() {
+    // 等待功能配置管理器初始化完成
+    try {
+      console.log('等待功能配置管理器初始化...')
+      await featureManager.waitForInitialization()
+      console.log('功能配置管理器初始化完成，开始加载功能配置')
+      await this.loadFeatures()
+      this.setupConfigChangeListener()
+    } catch (error) {
+      console.error('功能配置管理器初始化等待失败:', error)
+      await this.loadFeatures()
+      this.setupConfigChangeListener()
+    }
+  },
+  
+  beforeDestroy() {
+    this.removeConfigChangeListener()
+  },
+  
+  methods: {
+    // 根据ID列表获取功能
+    async getFeaturesByIds(featureIds) {
+      try {
+        const featureConfig = await featureManager.getAllFeatures()
+        console.log('获取到的功能配置:', JSON.stringify(featureConfig, null, 2))
+        console.log('请求的功能ID列表:', featureIds)
+        
+        const result = featureIds.map(id => {
+          const feature = featureConfig[id]
+          console.log(`功能 ${id} 的配置:`, feature)
+          console.log(`功能 ${id} 的启用状态:`, feature?.enabled)
+          
+          return {
+            id: id,
+            name: this.$t(`feature.${id}.name`),
+            description: this.$t(`feature.${id}.description`),
+            enabled: feature?.enabled || false
+          }
+        })
+        
+        console.log('最终返回的功能列表:', JSON.stringify(result, null, 2))
+        return result
+      } catch (error) {
+        console.error('获取功能配置失败:', error)
+        // 如果获取失败，返回默认配置
+        return featureIds.map(id => ({
+          id: id,
+          name: this.$t(`feature.${id}.name`),
+          description: this.$t(`feature.${id}.description`),
+          enabled: false
+        }))
+      }
+    },
+    
+    // 加载功能配置
+    async loadFeatures() {
+      // 保存当前用户的选择状态
+      const currentFeatureStates = {}
+      const allCurrentFeatures = [...this.featureManagementFeatures, ...this.voiceManagementFeatures]
+      allCurrentFeatures.forEach(feature => {
+        currentFeatureStates[feature.id] = feature.enabled
+      })
+      
+      // 重新加载配置
+      this.featureManagementFeatures = await this.getFeaturesByIds(['voiceprintRecognition', 'voiceClone', 'knowledgeBase', 'mcpAccessPoint'])
+      this.voiceManagementFeatures = await this.getFeaturesByIds(['vad', 'asr'])
+      
+      // 恢复用户的选择状态（如果存在）
+      const allFeatures = [...this.featureManagementFeatures, ...this.voiceManagementFeatures]
+      allFeatures.forEach(feature => {
+        if (currentFeatureStates.hasOwnProperty(feature.id)) {
+          feature.enabled = currentFeatureStates[feature.id]
+        }
+      })
+    },
+    // 切换功能状态
+    async toggleFeature(feature) {
+      // 如果正在保存，阻止操作
+      if (this.isSaving) {
+        return
+      }
+      
+      feature.enabled = !feature.enabled
+      this.pendingChanges = true
+      
+      // 不再立即更新到配置管理器，只在保存时统一更新
+    },
+    // 保存配置
+    async handleSave() {
+      if (!this.pendingChanges) {
+        this.$message.info({
+          message: this.$t('featureManagement.noChanges'),
+          showClose: true
+        })
+        return
+      }
+      
+      // 设置保存状态，锁定界面
+      this.isSaving = true
+      
+      try {
+        // 获取当前所有功能的状态并保存
+        const featureUpdates = {}
+        const allFeatures = [...this.featureManagementFeatures, ...this.voiceManagementFeatures]
+        allFeatures.forEach(feature => {
+          featureUpdates[feature.id] = feature.enabled
+        })
+        await featureManager.updateFeatures(featureUpdates)
+        
+        this.pendingChanges = false
+        this.$message.success({
+          message: this.$t('featureManagement.saveSuccess'),
+          showClose: true
+        })
+
+        setTimeout(() => {
+          this.loadFeatures()
+          this.$router.go(0)
+        }, 1000)
+      } catch (error) {
+        console.error('保存配置失败:', error)
+        this.$message.error({
+          message: this.$t('featureManagement.saveError'),
+          showClose: true
+        })
+      } finally {
+        // 无论成功与否，都解除保存状态锁定
+        this.isSaving = false
+      }
+    },
+    // 设置配置变化监听器
+    setupConfigChangeListener() {
+      this.configChangeHandler = () => {
+        console.log('检测到配置变化，重新加载功能列表')
+        this.loadFeatures()
+      }
+      window.addEventListener('featureConfigReloaded', this.configChangeHandler)
+    },
+    
+    // 移除配置变化监听器
+    removeConfigChangeListener() {
+      if (this.configChangeHandler) {
+        window.removeEventListener('featureConfigReloaded', this.configChangeHandler)
+      }
+    },
+    
+    // 重置配置
+    async handleReset() {
+      try {
+        await this.$confirm(
+          this.$t('featureManagement.resetConfirm'),
+          this.$t('featureManagement.reset'),
+          {
+            confirmButtonText: this.$t('featureManagement.confirm'),
+            cancelButtonText: this.$t('featureManagement.cancel'),
+            type: 'warning'
+          }
+        )
+        
+        featureManager.resetToDefault()
+        this.loadFeatures()
+        this.pendingChanges = false
+        
+        this.$message.success({
+          message: this.$t('featureManagement.resetSuccess'),
+          showClose: true
+        })
+        
+        setTimeout(() => {
+          this.loadFeatures()
+          this.$router.go(0)
+        }, 1000)
+      } catch (error) {
+        // 用户取消操作
+      }
+    },
+    // 搜索功能（预留接口）
+    handleSearch() {
+      // 搜索功能待实现
+    },
+    // 全选/取消全选
+    toggleSelectAll() {
+      // 如果正在保存，阻止操作
+      if (this.isSaving) {
+        return
+      }
+      
+      const allFeatures = [...this.featureManagementFeatures, ...this.voiceManagementFeatures]
+      const newStatus = !this.isAllSelected
+      
+      allFeatures.forEach(feature => {
+        feature.enabled = newStatus
+      })
+      
+      this.pendingChanges = true
+    }
+  }
+}
+</script>
+
+<style scoped>
+.welcome {
+  min-width: 900px;
+  min-height: 506px;
+  height: 100vh;
+  display: flex;
+  position: relative;
+  flex-direction: column;
+  background-size: cover;
+  background: linear-gradient(to bottom right, #dce8ff, #e4eeff, #e6cbfd) center;
+  -webkit-background-size: cover;
+  -o-background-size: cover;
+  overflow: hidden;
+}
+
+.operation-bar {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 16px 24px;
+}
+
+.page-title {
+  font-size: 24px;
+  margin: 0;
+}
+
+.config-header {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  padding: 0 0 16px 0;
+}
+
+.header-icon {
+  width: 40px;
+  height: 40px;
+  background: #5778ff;
+  border-radius: 50%;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  margin-right: 12px;
+}
+
+.header-icon img {
+  width: 20px;
+  height: 20px;
+}
+
+.header-actions {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  margin-left: auto;
+}
+
+.divider {
+  height: 1px;
+  background: #e0e0e0;
+  margin-bottom: 20px;
+}
+
+.btn-select-all {
+  background: #e6ebff;
+  color: #5778ff;
+  border: 1px solid #adbdff;
+  border-radius: 18px;
+  padding: 8px 16px;
+  height: 32px;
+  font-size: 14px;
+}
+
+.btn-select-all:hover {
+  background: #d0d8ff;
+}
+
+.save-btn {
+  background: #5778ff;
+  color: white;
+  border: none;
+  border-radius: 18px;
+  padding: 8px 16px;
+  height: 32px;
+  font-size: 14px;
+}
+
+.save-btn:hover {
+  background: #4a6ae8;
+}
+
+.reset-btn {
+  background: #e6ebff;
+  color: #5778ff;
+  border: 1px solid #adbdff;
+  border-radius: 18px;
+  padding: 8px 16px;
+  height: 32px;
+}
+
+.reset-btn:hover {
+  background: #d0d8ff;
+}
+
+.main-wrapper {
+  margin: 0 22px 5px 22px;
+  border-radius: 15px;
+  min-height: calc(100vh - 24vh);
+  height: auto;
+  max-height: 80vh;
+  box-shadow: 0 2px 12px rgba(0, 0, 0, 0.1);
+  position: relative;
+  background: rgba(237, 242, 255, 0.5);
+  display: flex;
+  flex-direction: column;
+}
+
+.content-panel {
+  flex: 1;
+  display: flex;
+  overflow: hidden;
+  height: 100%;
+  border-radius: 15px;
+  background: transparent;
+  border: 1px solid #fff;
+}
+
+.content-area {
+  flex: 1;
+  height: 100%;
+  min-width: 600px;
+  overflow: auto;
+  background-color: white;
+  display: flex;
+  flex-direction: column;
+}
+
+.feature-card {
+  background: white;
+  flex: 1;
+  display: flex;
+  flex-direction: column;
+  border: none;
+  box-shadow: none;
+  overflow: hidden;
+}
+
+.feature-card ::v-deep .el-card__body {
+  padding: 24px;
+  display: flex;
+  flex-direction: column;
+  flex: 1;
+  overflow: hidden;
+}
+
+.features-grid {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
+  gap: 16px;
+}
+
+.feature-card-item {
+  display: flex;
+  flex-direction: column;
+  padding: 20px;
+  border-radius: 12px;
+  border: 2px solid #e0e0e0;
+  background-color: white;
+  cursor: pointer;
+  transition: all 0.3s ease;
+  user-select: none;
+  position: relative;
+}
+
+.feature-card-item:hover {
+  border-color: #869bf0;
+  box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15);
+  transform: translateY(-2px);
+}
+
+.feature-card-item.feature-enabled {
+  border-color:#5778ff;
+  box-shadow: 0 4px 16px rgba(95, 112, 243, 0.2);
+  transform: translateY(-2px);
+}
+
+.feature-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  margin-bottom: 12px;
+}
+
+.feature-checkbox ::v-deep .el-checkbox__input {
+  transform: scale(1.2);
+}
+
+.feature-checkbox ::v-deep .el-checkbox__input.is-checked .el-checkbox__inner {
+  background-color: #5778ff;
+  border-color: #5778ff;
+}
+
+.feature-checkbox ::v-deep .el-checkbox__input.is-checked + .el-checkbox__label {
+  color: #5778ff;
+}
+
+
+.feature-name {
+  font-size: 18px;
+  font-weight: 600;
+  color: #333;
+  margin: 0;
+  transition: color 0.3s ease;
+}
+
+
+.feature-description {
+  font-size: 14px;
+  line-height: 1.6;
+  color: #666;
+  margin: 0 0 12px 0;
+  transition: color 0.3s ease;
+  text-align: left;
+}
+
+
+/* 功能分组容器 - 左右布局 */
+.feature-groups-container {
+  display: flex;
+  gap: 32px;
+  align-items: flex-start;
+  position: relative;
+}
+
+/* 分组之间的分隔线 */
+.feature-groups-container::before {
+  content: '';
+  position: absolute;
+  left: 50%;
+  top: 0;
+  bottom: 0;
+  width: 1px;
+  height: 550px;
+  background: #e0e0e0;
+  opacity: 0.5;
+  transform: translateX(-50%);
+}
+
+/* 分组样式 */
+.feature-group {
+  flex: 1;
+  min-width: 0;
+  margin-bottom: 32px;
+}
+
+.group-title {
+  font-size: 18px;
+  font-weight: 600;
+  color: #303133;
+  margin-bottom: 12px;
+  padding-left: 12px;
+  border-left: 4px solid #5f70f3;
+  text-align: left;
+}
+
+.features-grid {
+  display: grid;
+  grid-template-columns: repeat(auto-fill, minmax(300px, 1fr));
+  gap: 16px;
+}
+</style>

main/manager-web/src/views/home.vue

@@ -39,8 +39,9 @@
           </template>
 
           <template v-else>
-            <DeviceItem v-for="(item, index) in devices" :key="index" :device="item" @configure="goToRoleConfig"
-              @deviceManage="handleDeviceManage" @delete="handleDeleteAgent" @chat-history="handleShowChatHistory" />
+            <DeviceItem v-for="(item, index) in devices" :key="index" :device="item" :feature-status="featureStatus" 
+              @configure="goToRoleConfig" @deviceManage="handleDeviceManage" @delete="handleDeleteAgent" 
+              @chat-history="handleShowChatHistory" />
           </template>
         </div>
       </div>
@@ -61,6 +62,7 @@ import ChatHistoryDialog from '@/components/ChatHistoryDialog.vue';
 import DeviceItem from '@/components/DeviceItem.vue';
 import HeaderBar from '@/components/HeaderBar.vue';
 import VersionFooter from '@/components/VersionFooter.vue';
+import featureManager from '@/utils/featureManager';
 
 export default {
   name: 'HomePage',
@@ -76,15 +78,33 @@ export default {
       skeletonCount: localStorage.getItem('skeletonCount') || 8,
       showChatHistory: false,
       currentAgentId: '',
-      currentAgentName: ''
+      currentAgentName: '',
+      // 功能状态
+      featureStatus: {
+        voiceprintRecognition: false,
+        voiceClone: false,
+        knowledgeBase: false
+      }
     }
   },
 
-  mounted() {
+  async mounted() {
     this.fetchAgentList();
+    await this.loadFeatureStatus();
   },
 
   methods: {
+    // 加载功能状态
+    async loadFeatureStatus() {
+      await featureManager.waitForInitialization();
+      const config = featureManager.getConfig();
+      this.featureStatus = {
+        voiceprintRecognition: config.voiceprintRecognition,
+        voiceClone: config.voiceClone,
+        knowledgeBase: config.knowledgeBase
+      };
+    },
+    
     showAddDialog() {
       this.addDeviceDialogVisible = true
     },

main/manager-web/src/views/login.vue

@@ -156,6 +156,7 @@ import VersionFooter from "@/components/VersionFooter.vue";
 import i18n, { changeLanguage } from "@/i18n";
 import { getUUID, goToPage, showDanger, showSuccess, sm2Encrypt, validateMobile } from "@/utils";
 import { mapState } from "vuex";
+import featureManager from "@/utils/featureManager";
 
 export default {
   name: "login",
@@ -214,6 +215,13 @@ export default {
     this.$store.dispatch("fetchPubConfig").then(() => {
       // 根据配置决定默认登录方式
       this.isMobileLogin = this.enableMobileRegister;
+      
+      // pub-config接口调用完成后，重新初始化featureManager以确保使用最新的配置
+      featureManager.waitForInitialization().then(() => {
+        console.log('featureManager重新初始化完成，使用pub-config配置');
+      }).catch(error => {
+        console.warn('featureManager重新初始化失败:', error);
+      });
     });
   },
   methods: {

main/manager-web/src/views/roleConfig.vue

@@ -55,10 +55,24 @@
                         </div>
                       </div>
                     </el-form-item>
+                    <el-form-item :label="$t('roleConfig.contextProvider') + '：'" class="context-provider-item">
+                      <div style="display: flex; align-items: center; justify-content: space-between;">
+                        <span style="color: #606266; font-size: 13px;">
+                          {{ $t('roleConfig.contextProviderSuccess', { count: currentContextProviders.length }) }}<a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/context-provider-integration.md" target="_blank" class="doc-link">{{ $t('roleConfig.contextProviderDocLink') }}</a>
+                        </span>
+                        <el-button
+                          class="edit-function-btn"
+                          size="small"
+                          @click="openContextProviderDialog"
+                        >
+                          {{ $t('roleConfig.editContextProvider') }}
+                        </el-button>
+                      </div>
+                    </el-form-item>
                     <el-form-item :label="$t('roleConfig.roleIntroduction') + '：'">
                       <el-input
                         type="textarea"
-                        rows="9"
+                        rows="8"
                         resize="none"
                         :placeholder="$t('roleConfig.pleaseEnterContent')"
                         v-model="form.systemPrompt"
@@ -71,7 +85,7 @@
                     <el-form-item :label="$t('roleConfig.memoryHis') + '：'">
                       <el-input
                         type="textarea"
-                        rows="6"
+                        rows="4"
                         resize="none"
                         v-model="form.summaryMemory"
                         maxlength="2000"
@@ -107,7 +121,11 @@
                   </div>
                   <div class="form-column">
                     <div class="model-row">
-                      <el-form-item :label="$t('roleConfig.vad')" class="model-item">
+                      <el-form-item 
+                        v-if="featureStatus.vad" 
+                        :label="$t('roleConfig.vad')" 
+                        class="model-item"
+                      >
                         <div class="model-select-wrapper">
                           <el-select
                             v-model="form.model.vadModelId"
@@ -125,7 +143,11 @@
                           </el-select>
                         </div>
                       </el-form-item>
-                      <el-form-item :label="$t('roleConfig.asr')" class="model-item">
+                      <el-form-item 
+                        v-if="featureStatus.asr" 
+                        :label="$t('roleConfig.asr')" 
+                        class="model-item"
+                      >
                         <div class="model-select-wrapper">
                           <el-select
                             v-model="form.model.asrModelId"
@@ -267,6 +289,11 @@
       @update-functions="handleUpdateFunctions"
       @dialog-closed="handleDialogClosed"
     />
+    <context-provider-dialog
+      :visible.sync="showContextProviderDialog"
+      :providers="currentContextProviders"
+      @confirm="handleUpdateContext"
+    />
   </div>
 </template>
 
@@ -275,14 +302,17 @@ import Api from "@/apis/api";
 import { getServiceUrl } from "@/apis/api";
 import RequestService from "@/apis/httpRequest";
 import FunctionDialog from "@/components/FunctionDialog.vue";
+import ContextProviderDialog from "@/components/ContextProviderDialog.vue";
 import HeaderBar from "@/components/HeaderBar.vue";
 import i18n from "@/i18n";
+import featureManager from "@/utils/featureManager"; 
 
 export default {
   name: "RoleConfigPage",
-  components: { HeaderBar, FunctionDialog },
+  components: { HeaderBar, FunctionDialog, ContextProviderDialog },
   data() {
     return {
+      showContextProviderDialog: false,
       form: {
         agentCode: "",
         agentName: "",
@@ -320,12 +350,18 @@ export default {
       voiceDetails: {}, // 保存完整的音色信息
       showFunctionDialog: false,
       currentFunctions: [],
+      currentContextProviders: [],
       allFunctions: [],
       originalFunctions: [],
       playingVoice: false,
       isPaused: false,
       currentAudio: null,
       currentPlayingVoiceId: null,
+      // 功能状态
+      featureStatus: {
+        vad: false, // 语言检测活动功能状态
+        asr: false, // 语音识别功能状态
+      },
     };
   },
   methods: {
@@ -356,6 +392,7 @@ export default {
             paramInfo: item.params,
           };
         }),
+        contextProviders: this.currentContextProviders,
       };
       Api.agent.updateAgentConfig(this.$route.query.agentId, configData, ({ data }) => {
         if (data.code === 0) {
@@ -472,6 +509,9 @@ export default {
           };
           // 后端只给了最小映射：[{ id, agentId, pluginId }, ...]
           const savedMappings = data.data.functions || [];
+          
+          // 加载上下文配置
+          this.currentContextProviders = data.data.contextProviders || [];
 
           // 先保证 allFunctions 已经加载（如果没有，则先 fetchAllFunctions）
           const ensureFuncs = this.allFunctions.length
@@ -646,6 +686,12 @@ export default {
         this.showFunctionDialog = true;
       }
     },
+    openContextProviderDialog() {
+      this.showContextProviderDialog = true;
+    },
+    handleUpdateContext(providers) {
+      this.currentContextProviders = providers;
+    },
     handleUpdateFunctions(selected) {
       this.currentFunctions = selected;
     },
@@ -980,6 +1026,19 @@ export default {
         this.form.chatHistoryConf = 0;
       }
     },
+    // 加载功能状态
+    async loadFeatureStatus() {
+      try {
+        // 确保featureManager已初始化完成
+        await featureManager.waitForInitialization();
+        const config = featureManager.getConfig();
+        this.featureStatus.voiceprintRecognition = config.voiceprintRecognition || false;
+        this.featureStatus.vad = config.vad || false;
+        this.featureStatus.asr = config.asr || false;
+      } catch (error) {
+        console.error("加载功能状态失败:", error);
+      }
+    },
   },
   watch: {
     "form.model.ttsModelId": {
@@ -1002,7 +1061,7 @@ export default {
       immediate: true,
     },
   },
-  mounted() {
+  async mounted() {
     const agentId = this.$route.query.agentId;
     if (agentId) {
       this.fetchAgentConfig(agentId);
@@ -1010,6 +1069,8 @@ export default {
     }
     this.fetchModelOptions();
     this.fetchTemplates();
+    // 加载功能状态，确保featureManager已初始化
+    await this.loadFeatureStatus();
   },
 };
 </script>
@@ -1298,6 +1359,26 @@ export default {
   justify-content: flex-end;
 }
 
+.chat-history-options ::v-deep .el-radio-button {
+  border-color: #5778ff;
+}
+
+.chat-history-options ::v-deep .el-radio-button .el-radio-button__inner {
+  color: #5778ff;
+  border-color: #5778ff;
+  background-color: transparent;
+}
+
+.chat-history-options ::v-deep .el-radio-button.is-active .el-radio-button__inner {
+  background-color: #5778ff;
+  border-color: #5778ff;
+  color: white;
+}
+
+.chat-history-options ::v-deep .el-radio-button .el-radio-button__inner:hover {
+  color: #5778ff;
+}
+
 .header-actions {
   display: flex;
   align-items: center;
@@ -1345,4 +1426,18 @@ export default {
   height: 32px;
   margin-left: 8px;
 }
+
+.context-provider-item ::v-deep .el-form-item__label {
+  line-height: 42px !important;
+}
+
+.doc-link {
+  color: #5778ff;
+  text-decoration: none;
+  margin-left: 4px;
+
+  &:hover {
+    text-decoration: underline;
+  }
+}
 </style>

main/xiaozhi-server/agent-base-prompt.txt

@@ -74,6 +74,7 @@
 - **今天农历：** {{lunar_date}}
 - **用户所在城市：** {{local_address}}
 - **当地未来7天天气：** {{weather_info}}
+{{ dynamic_context }}
 </context>
 
 <memory>

main/xiaozhi-server/config.yaml

@@ -113,6 +113,15 @@ wakeup_words:
 # MCP接入点地址，地址格式为：ws://你的mcp接入点ip或者域名:端口号/mcp/?token=你的token
 # 详细教程 https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/mcp-endpoint-integration.md
 mcp_endpoint: 你的接入点 websocket地址
+
+# 上下文源配置
+# 用于在系统提示词中注入动态数据，如健康数据、股票信息等
+# 可以添加多个上下文源
+context_providers:
+  - url: ""
+    headers:
+      Authorization: ""
+
 # 插件的基础配置
 plugins:
   # 获取天气插件的配置，这里填写你的api_key
@@ -462,7 +471,6 @@ ASR:
     domain: slm # 识别领域，iat:日常用语，medical:医疗，finance:金融等
     language: zh_cn # 语言，zh_cn:中文，en_us:英文
     accent: mandarin # 方言，mandarin:普通话
-    dwa: wpgs # 动态修正，wpgs:实时返回中间结果
     # 调整音频处理参数以提高长语音识别质量
     output_dir: tmp/
   

main/xiaozhi-server/config/config_loader.py

@@ -68,6 +68,7 @@ async def get_config_from_api_async(config):
         "url": config["manager-api"].get("url", ""),
         "secret": config["manager-api"].get("secret", ""),
     }
+    auth_enabled = config_data.get("server", {}).get("auth", {}).get("enabled", False)
     # server的配置以本地为准
     if config.get("server"):
         config_data["server"] = {
@@ -77,6 +78,7 @@ async def get_config_from_api_async(config):
             "vision_explain": config["server"].get("vision_explain", ""),
             "auth_key": config["server"].get("auth_key", ""),
         }
+    config_data["server"]["auth"] = {"enabled": auth_enabled}
     # 如果服务器没有prompt_template，则从本地配置读取
     if not config_data.get("prompt_template"):
         config_data["prompt_template"] = config.get("prompt_template")

main/xiaozhi-server/config/logger.py

@@ -5,7 +5,7 @@ from config.config_loader import load_config
 from config.settings import check_config_file
 from datetime import datetime
 
-SERVER_VERSION = "0.8.9"
+SERVER_VERSION = "0.8.10"
 _logger_initialized = False
 
 

main/xiaozhi-server/core/connection.py

@@ -69,6 +69,7 @@ class ConnectionHandler:
         self.server = server  # 保存server实例的引用
 
         self.need_bind = False  # 是否需要绑定设备
+        self.bind_completed_event = asyncio.Event()
         self.bind_code = None  # 绑定设备的验证码
         self.last_bind_prompt_time = 0  # 上次播放绑定提示的时间戳(秒)
         self.bind_prompt_interval = 60  # 绑定提示播放间隔(秒)
@@ -162,7 +163,7 @@ class ConnectionHandler:
         self.conn_from_mqtt_gateway = False
 
         # 初始化提示词管理器
-        self.prompt_manager = PromptManager(config, self.logger)
+        self.prompt_manager = PromptManager(self.config, self.logger)
 
     async def handle_connection(self, ws):
         try:
@@ -266,30 +267,43 @@ class ConnectionHandler:
                     f"保存记忆后关闭连接失败: {close_error}"
                 )
 
+    async def _discard_message_with_bind_prompt(self):
+        """丢弃消息并检查是否需要播放绑定提示"""
+        current_time = time.time()
+        # 检查是否需要播放绑定提示
+        if current_time - self.last_bind_prompt_time >= self.bind_prompt_interval:
+            self.last_bind_prompt_time = current_time
+            # 复用现有的绑定提示逻辑
+            from core.handle.receiveAudioHandle import check_bind_device
+
+            asyncio.create_task(check_bind_device(self))
+
     async def _route_message(self, message):
         """消息路由"""
+        # 检查是否已经获取到真实的绑定状态
+        if not self.bind_completed_event.is_set():
+            # 还没有获取到真实状态，等待直到获取到真实状态或超时
+            try:
+                await asyncio.wait_for(self.bind_completed_event.wait(), timeout=1)
+            except asyncio.TimeoutError:
+                # 超时仍未获取到真实状态，丢弃消息
+                await self._discard_message_with_bind_prompt()
+                return
+
+        # 已经获取到真实状态，检查是否需要绑定
+        if self.need_bind:
+            # 需要绑定，丢弃消息
+            await self._discard_message_with_bind_prompt()
+            return
+
+        # 不需要绑定，继续处理消息
+
         if isinstance(message, str):
             await handleTextMessage(self, message)
         elif isinstance(message, bytes):
             if self.vad is None or self.asr is None:
                 return
 
-            # 未绑定设备直接丢弃所有音频，不进行ASR处理
-            if self.need_bind:
-                current_time = time.time()
-                # 检查是否需要播放绑定提示
-                if (
-                    current_time - self.last_bind_prompt_time
-                    >= self.bind_prompt_interval
-                ):
-                    self.last_bind_prompt_time = current_time
-                    # 复用现有的绑定提示逻辑
-                    from core.handle.receiveAudioHandle import check_bind_device
-
-                    asyncio.create_task(check_bind_device(self))
-                # 直接丢弃音频，不进行ASR处理
-                return
-
             # 处理来自MQTT网关的音频包
             if self.conn_from_mqtt_gateway and len(message) >= 16:
                 handled = await self._process_mqtt_audio_message(message)
@@ -413,6 +427,14 @@ class ConnectionHandler:
 
     def _initialize_components(self):
         try:
+            if self.tts is None:
+                self.tts = self._initialize_tts()
+            # 打开语音合成通道
+            asyncio.run_coroutine_threadsafe(
+                self.tts.open_audio_channels(self), self.loop
+            )
+            if self.need_bind:
+                return
             self.selected_module_str = build_module_string(
                 self.config.get("selected_module", {})
             )
@@ -436,17 +458,10 @@ class ConnectionHandler:
 
             # 初始化声纹识别
             self._initialize_voiceprint()
-
             # 打开语音识别通道
             asyncio.run_coroutine_threadsafe(
                 self.asr.open_audio_channels(self), self.loop
             )
-            if self.tts is None:
-                self.tts = self._initialize_tts()
-            # 打开语音合成通道
-            asyncio.run_coroutine_threadsafe(
-                self.tts.open_audio_channels(self), self.loop
-            )
 
             """加载记忆"""
             self._initialize_memory()
@@ -461,6 +476,7 @@ class ConnectionHandler:
             self.logger.bind(tag=TAG).error(f"实例化组件失败: {e}")
 
     def _init_prompt_enhancement(self):
+
         # 更新上下文信息
         self.prompt_manager.update_context_info(self, self.client_ip)
         enhanced_prompt = self.prompt_manager.build_enhanced_prompt(
@@ -496,7 +512,11 @@ class ConnectionHandler:
 
     def _initialize_asr(self):
         """初始化ASR"""
-        if self._asr.interface_type == InterfaceType.LOCAL:
+        if (
+            self._asr is not None
+            and hasattr(self._asr, "interface_type")
+            and self._asr.interface_type == InterfaceType.LOCAL
+        ):
             # 如果公共ASR是本地服务，则直接返回
             # 因为本地一个实例ASR，可以被多个连接共享
             asr = self._asr
@@ -536,6 +556,8 @@ class ConnectionHandler:
     async def _initialize_private_config_async(self):
         """从接口异步获取差异化配置（异步版本，不阻塞主循环）"""
         if not self.read_config_from_api:
+            self.need_bind = False
+            self.bind_completed_event.set()
             return
         try:
             begin_time = time.time()
@@ -548,15 +570,20 @@ class ConnectionHandler:
             self.logger.bind(tag=TAG).info(
                 f"{time.time() - begin_time} 秒，异步获取差异化配置成功: {json.dumps(filter_sensitive_info(private_config), ensure_ascii=False)}"
             )
+            self.need_bind = False
+            self.bind_completed_event.set()
         except DeviceNotFoundException as e:
             self.need_bind = True
+            self.bind_completed_event.set()  # 状态已确定，设置事件
             private_config = {}
         except DeviceBindException as e:
             self.need_bind = True
             self.bind_code = e.bind_code
+            self.bind_completed_event.set()  # 状态已确定，设置事件
             private_config = {}
         except Exception as e:
             self.need_bind = True
+            self.bind_completed_event.set()  # 状态已确定，设置事件
             self.logger.bind(tag=TAG).error(f"异步获取差异化配置失败: {e}")
             private_config = {}
 
@@ -630,6 +657,8 @@ class ConnectionHandler:
             self.chat_history_conf = int(private_config["chat_history_conf"])
         if private_config.get("mcp_endpoint", None) is not None:
             self.config["mcp_endpoint"] = private_config["mcp_endpoint"]
+        if private_config.get("context_providers", None) is not None:
+            self.config["context_providers"] = private_config["context_providers"]
 
         # 使用 run_in_executor 在线程池中执行 initialize_modules，避免阻塞主循环
         try:
@@ -1169,6 +1198,11 @@ class ConnectionHandler:
                     except queue.Empty:
                         break
 
+            # 重置音频流控器（取消后台任务并清空队列）
+            if hasattr(self, "audio_rate_controller") and self.audio_rate_controller:
+                self.audio_rate_controller.reset()
+                self.logger.bind(tag=TAG).debug("已重置音频流控器")
+
             self.logger.bind(tag=TAG).debug(
                 f"清理结束: TTS队列大小={self.tts.tts_text_queue.qsize()}, 音频队列大小={self.tts.tts_audio_queue.qsize()}"
             )

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

@@ -101,7 +101,7 @@ async def checkWakeupWords(conn, text):
         }
 
     # 获取音频数据
-    opus_packets = audio_to_data(response.get("file_path"))
+    opus_packets = await audio_to_data(response.get("file_path"), use_cache=False)
     # 播放唤醒词回复
     conn.client_abort = False
 

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

@@ -123,7 +123,7 @@ async def max_out_size(conn):
     text = "不好意思，我现在有点事情要忙，明天这个时候我们再聊，约好了哦！明天不见不散，拜拜！"
     await send_stt_message(conn, text)
     file_path = "config/assets/max_output_size.wav"
-    opus_packets = audio_to_data(file_path)
+    opus_packets = await audio_to_data(file_path)
     conn.tts.tts_audio_queue.put((SentenceType.LAST, opus_packets, text))
     conn.close_after_chat = True
 
@@ -142,7 +142,7 @@ async def check_bind_device(conn):
 
         # 播放提示音
         music_path = "config/assets/bind_code.wav"
-        opus_packets = audio_to_data(music_path)
+        opus_packets = await audio_to_data(music_path)
         conn.tts.tts_audio_queue.put((SentenceType.FIRST, opus_packets, text))
 
         # 逐个播放数字
@@ -150,7 +150,7 @@ async def check_bind_device(conn):
             try:
                 digit = conn.bind_code[i]
                 num_path = f"config/assets/bind_code/{digit}.wav"
-                num_packets = audio_to_data(num_path)
+                num_packets = await audio_to_data(num_path)
                 conn.tts.tts_audio_queue.put((SentenceType.MIDDLE, num_packets, None))
             except Exception as e:
                 conn.logger.bind(tag=TAG).error(f"播放数字音频失败: {e}")
@@ -162,5 +162,5 @@ async def check_bind_device(conn):
         text = f"没有找到该设备的版本信息，请正确配置 OTA地址，然后重新编译固件。"
         await send_stt_message(conn, text)
         music_path = "config/assets/bind_not_found.wav"
-        opus_packets = audio_to_data(music_path)
+        opus_packets = await audio_to_data(music_path)
         conn.tts.tts_audio_queue.put((SentenceType.LAST, opus_packets, text))

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

@@ -10,7 +10,6 @@ TTS上报功能已集成到ConnectionHandler类中。
 """
 
 import time
-import gc
 import opuslib_next
 
 from config.manage_api_client import report as manage_report

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

@@ -16,7 +16,19 @@ async def sendAudioMessage(conn, sentenceType, audios, text):
         await send_tts_message(conn, "start", None)
 
     if sentenceType == SentenceType.FIRST:
-        await send_tts_message(conn, "sentence_start", text)
+        # 同一句子的后续消息加入流控队列，其他情况立即发送
+        if (
+            hasattr(conn, "audio_rate_controller")
+            and conn.audio_rate_controller
+            and getattr(conn, "audio_flow_control", {}).get("sentence_id")
+            == conn.sentence_id
+        ):
+            conn.audio_rate_controller.add_message(
+                lambda: send_tts_message(conn, "sentence_start", text)
+            )
+        else:
+            # 新句子或流控器未初始化，立即发送
+            await send_tts_message(conn, "sentence_start", text)
 
     await sendAudio(conn, audios)
     # 发送句子开始消息
@@ -31,6 +43,22 @@ async def sendAudioMessage(conn, sentenceType, audios, text):
             await conn.close()
 
 
+async def _wait_for_audio_completion(conn):
+    """
+    等待音频队列清空
+
+    Args:
+        conn: 连接对象
+    """
+    if hasattr(conn, "audio_rate_controller") and conn.audio_rate_controller:
+        rate_controller = conn.audio_rate_controller
+        conn.logger.bind(tag=TAG).debug(
+            f"等待音频发送完成，队列中还有 {len(rate_controller.queue)} 个包"
+        )
+        await rate_controller.queue_empty_event.wait()
+        conn.logger.bind(tag=TAG).debug("音频发送完成")
+
+
 async def _send_to_mqtt_gateway(conn, opus_packet, timestamp, sequence):
     """
     发送带16字节头部的opus数据包给mqtt_gateway
@@ -53,7 +81,6 @@ async def _send_to_mqtt_gateway(conn, opus_packet, timestamp, sequence):
     await conn.websocket.send(complete_packet)
 
 
-# 播放音频 - 使用 AudioRateController 进行精确流控
 async def sendAudio(conn, audios, frame_duration=60):
     """
     发送音频包，使用 AudioRateController 进行精确的流量控制
@@ -62,128 +89,127 @@ async def sendAudio(conn, audios, frame_duration=60):
         conn: 连接对象
         audios: 单个opus包(bytes) 或 opus包列表
         frame_duration: 帧时长（毫秒），默认60ms
-
-    改进点：
-    1. 使用单一时间基准，避免累积误差
-    2. 每次检查队列时重新计算 elapsed_ms，更精准
-    3. 支持高并发而不产生时间偏差
     """
     if audios is None or len(audios) == 0:
         return
 
-    # 获取发送延迟配置
     send_delay = conn.config.get("tts_audio_send_delay", -1) / 1000.0
+    is_single_packet = isinstance(audios, bytes)
 
-    if isinstance(audios, bytes):
-        # 单个 opus 包处理
-        await _sendAudio_single(conn, audios, send_delay, frame_duration)
-    else:
-        # 音频列表处理（如文件型音频）
-        await _sendAudio_list(conn, audios, send_delay, frame_duration)
+    # 初始化或获取 RateController
+    rate_controller, flow_control = _get_or_create_rate_controller(
+        conn, frame_duration, is_single_packet
+    )
+
+    # 统一转换为列表处理
+    audio_list = [audios] if is_single_packet else audios
+
+    # 发送音频包
+    await _send_audio_with_rate_control(
+        conn, audio_list, rate_controller, flow_control, send_delay
+    )
 
 
-async def _sendAudio_single(conn, opus_packet, send_delay, frame_duration=60):
+def _get_or_create_rate_controller(conn, frame_duration, is_single_packet):
     """
-    发送单个 opus 包
-    使用 AudioRateController 进行流控
+    获取或创建 RateController 和 flow_control
+
+    Args:
+        conn: 连接对象
+        frame_duration: 帧时长
+        is_single_packet: 是否单包模式（True: TTS流式单包, False: 批量包）
+
+    Returns:
+        (rate_controller, flow_control)
     """
-    # 重置流控状态，第一次读取和会话发生转变时
-    if not hasattr(conn, "audio_rate_controller") or conn.audio_flow_control.get("sentence_id") != conn.sentence_id:
-        if hasattr(conn, "audio_rate_controller"):
-            conn.audio_rate_controller.reset()
-        else:
+    # 判断是否需要重置：单包模式且 sentence_id 变化，或者控制器不存在
+    need_reset = (
+        is_single_packet
+        and getattr(conn, "audio_flow_control", {}).get("sentence_id")
+        != conn.sentence_id
+    ) or not hasattr(conn, "audio_rate_controller")
+
+    if need_reset:
+        # 创建或获取 rate_controller
+        if not hasattr(conn, "audio_rate_controller"):
             conn.audio_rate_controller = AudioRateController(frame_duration)
+        else:
             conn.audio_rate_controller.reset()
 
+        # 初始化 flow_control
         conn.audio_flow_control = {
             "packet_count": 0,
             "sequence": 0,
             "sentence_id": conn.sentence_id,
         }
 
-    if conn.client_abort:
-        return
+        # 启动后台发送循环
+        _start_background_sender(
+            conn, conn.audio_rate_controller, conn.audio_flow_control
+        )
 
-    conn.last_activity_time = time.time() * 1000
-
-    rate_controller = conn.audio_rate_controller
-    flow_control = conn.audio_flow_control
-    packet_count = flow_control["packet_count"]
-
-    # 预缓冲：前5个包直接发送，不做延迟
-    pre_buffer_count = 5
-
-    if packet_count < pre_buffer_count or send_delay > 0:
-        # 预缓冲阶段或固定延迟模式，直接发送
-        await _do_send_audio(conn, opus_packet, flow_control, frame_duration)
-
-        if send_delay > 0 and packet_count >= pre_buffer_count:
-            await asyncio.sleep(send_delay)
-    else:
-        # 使用流控器进行精确的速率控制
-        rate_controller.add_audio(opus_packet)
-
-        async def send_callback(packet):
-            await _do_send_audio(conn, packet, flow_control, frame_duration)
-
-        await rate_controller.check_queue(send_callback)
-
-    # 更新流控状态
-    flow_control["packet_count"] += 1
-    flow_control["sequence"] += 1
+    return conn.audio_rate_controller, conn.audio_flow_control
 
 
-async def _sendAudio_list(conn, audios, send_delay, frame_duration=60):
+def _start_background_sender(conn, rate_controller, flow_control):
     """
-    发送音频列表（如文件型音频）
+    启动后台发送循环任务
+
+    Args:
+        conn: 连接对象
+        rate_controller: 速率控制器
+        flow_control: 流控状态
     """
-    if not audios:
-        return
 
-    rate_controller = AudioRateController(frame_duration)
-    rate_controller.reset()
-
-    flow_control = {
-        "packet_count": 0,
-        "sequence": 0,
-    }
-
-    # 预缓冲：前5个包直接发送
-    pre_buffer_frames = min(5, len(audios))
-    for i in range(pre_buffer_frames):
+    async def send_callback(packet):
+        # 检查是否应该中止
         if conn.client_abort:
-            return
-        await _do_send_audio(conn, audios[i], flow_control, frame_duration)
+            raise asyncio.CancelledError("客户端已中止")
+
+        conn.last_activity_time = time.time() * 1000
+        await _do_send_audio(conn, packet, flow_control)
         conn.client_is_speaking = True
 
-    remaining_audios = audios[pre_buffer_frames:]
+    # 使用 start_sending 启动后台循环
+    rate_controller.start_sending(send_callback)
 
-    # 处理剩余音频帧
-    for i, opus_packet in enumerate(remaining_audios):
+
+async def _send_audio_with_rate_control(
+    conn, audio_list, rate_controller, flow_control, send_delay
+):
+    """
+    使用 rate_controller 发送音频包
+
+    Args:
+        conn: 连接对象
+        audio_list: 音频包列表
+        rate_controller: 速率控制器
+        flow_control: 流控状态
+        send_delay: 固定延迟（秒），-1表示使用动态流控
+    """
+    pre_buffer_count = 5
+
+    for packet in audio_list:
         if conn.client_abort:
-            break
+            return
 
         conn.last_activity_time = time.time() * 1000
 
-        if send_delay > 0:
+        # 预缓冲：前5个包直接发送
+        if flow_control["packet_count"] < pre_buffer_count:
+            await _do_send_audio(conn, packet, flow_control)
+            conn.client_is_speaking = True
+        elif send_delay > 0:
             # 固定延迟模式
             await asyncio.sleep(send_delay)
-        else:
-            # 使用流控器进行精确延迟
-            rate_controller.add_audio(opus_packet)
-
-            async def send_callback(packet):
-                await _do_send_audio(conn, packet, flow_control, frame_duration)
-
-            await rate_controller.check_queue(send_callback)
+            await _do_send_audio(conn, packet, flow_control)
             conn.client_is_speaking = True
-            continue
-
-        await _do_send_audio(conn, opus_packet, flow_control, frame_duration)
-        conn.client_is_speaking = True
+        else:
+            # 动态流控模式：仅添加到队列，由后台循环负责发送
+            rate_controller.add_audio(packet)
 
 
-async def _do_send_audio(conn, opus_packet, flow_control, frame_duration=60):
+async def _do_send_audio(conn, opus_packet, flow_control):
     """
     执行实际的音频发送
     """
@@ -220,8 +246,10 @@ async def send_tts_message(conn, state, text=None):
             stop_tts_notify_voice = conn.config.get(
                 "stop_tts_notify_voice", "config/assets/tts_notify.mp3"
             )
-            audios = audio_to_data(stop_tts_notify_voice, is_opus=True)
+            audios = await audio_to_data(stop_tts_notify_voice, is_opus=True)
             await sendAudio(conn, audios)
+        # 等待所有音频包发送完成
+        await _wait_for_audio_completion(conn)
         # 清除服务端讲话状态
         conn.clearSpeakStatus()
 

main/xiaozhi-server/core/handle/textHandler/listenMessageHandler.py

@@ -1,12 +1,14 @@
 import time
+import asyncio
 from typing import Dict, Any
 
-from core.handle.receiveAudioHandle import handleAudioMessage, startToChat
+from core.handle.receiveAudioHandle import startToChat
 from core.handle.reportHandle import enqueue_asr_report
 from core.handle.sendAudioHandle import send_stt_message, send_tts_message
 from core.handle.textMessageHandler import TextMessageHandler
 from core.handle.textMessageType import TextMessageType
 from core.utils.util import remove_punctuation_and_length
+from core.providers.asr.dto.dto import InterfaceType
 
 TAG = __name__
 
@@ -29,8 +31,18 @@ class ListenTextMessageHandler(TextMessageHandler):
         elif msg_json["state"] == "stop":
             conn.client_have_voice = True
             conn.client_voice_stop = True
-            if len(conn.asr_audio) > 0:
-                await handleAudioMessage(conn, b"")
+            if conn.asr.interface_type == InterfaceType.STREAM:
+                # 流式模式下，发送结束请求
+                asyncio.create_task(conn.asr._send_stop_request())
+            else:
+                # 非流式模式：直接触发ASR识别
+                if len(conn.asr_audio) > 0:
+                    asr_audio_task = conn.asr_audio.copy()
+                    conn.asr_audio.clear()
+                    conn.reset_vad_states()
+
+                    if len(asr_audio_task) > 0:
+                        await conn.asr.handle_voice_stop(conn, asr_audio_task)
         elif msg_json["state"] == "detect":
             conn.client_have_voice = False
             conn.asr_audio.clear()

main/xiaozhi-server/core/providers/asr/aliyun_stream.py

@@ -5,12 +5,9 @@ import hmac
 import base64
 import hashlib
 import asyncio
-import gc
 import requests
 import websockets
 import opuslib_next
-import random
-from typing import Optional, Tuple, List
 from urllib import parse
 from datetime import datetime
 from config.logger import setup_logging
@@ -140,13 +137,13 @@ class ASRProvider(ASRProviderBase):
         conn.asr_audio.append(audio)
         conn.asr_audio = conn.asr_audio[-10:]
 
-        # 只在有声音且没有连接时建立连接
-        if audio_have_voice and not self.is_processing:
+        # 只在有声音且没有连接时建立连接（排除正在停止的情况）
+        if audio_have_voice and not self.is_processing and not self.asr_ws:
             try:
                 await self._start_recognition(conn)
             except Exception as e:
                 logger.bind(tag=TAG).error(f"开始识别失败: {str(e)}")
-                await self._cleanup(conn)
+                await self._cleanup()
                 return
 
         if self.asr_ws and self.is_processing and self.server_ready:
@@ -186,10 +183,8 @@ class ASRProvider(ASRProviderBase):
             "header": {
                 "namespace": "SpeechTranscriber",
                 "name": "StartTranscription",
-                "status": 20000000,
                 "message_id": uuid.uuid4().hex,
                 "task_id": self.task_id,
-                "status_text": "Gateway:SUCCESS:Success.",
                 "appkey": self.appkey
             },
             "payload": {
@@ -208,18 +203,21 @@ class ASRProvider(ASRProviderBase):
     async def _forward_results(self, conn):
         """转发识别结果"""
         try:
-            while self.asr_ws and not conn.stop_event.is_set():
+            while not conn.stop_event.is_set():
                 try:
                     response = await asyncio.wait_for(self.asr_ws.recv(), timeout=1.0)
                     result = json.loads(response)
-                    
+
                     header = result.get("header", {})
                     payload = result.get("payload", {})
                     message_name = header.get("name", "")
                     status = header.get("status", 0)
-                    
+
                     if status != 20000000:
-                        if status in [40000004, 40010004]:  # 连接超时或客户端断开
+                        if status == 40010004:
+                            logger.bind(tag=TAG).warning(f"请在服务端响应完成后再关闭链接，状态码: {status}")
+                            break
+                        if status in [40000004, 40010003]:  # 连接超时或客户端断开
                             logger.bind(tag=TAG).warning(f"连接问题，状态码: {status}")
                             break
                         elif status in [40270002, 40270003]:  # 音频问题
@@ -228,12 +226,12 @@ class ASRProvider(ASRProviderBase):
                         else:
                             logger.bind(tag=TAG).error(f"识别错误，状态码: {status}, 消息: {header.get('status_text', '')}")
                             continue
-                    
+
                     # 收到TranscriptionStarted表示服务器准备好接收音频数据
                     if message_name == "TranscriptionStarted":
                         self.server_ready = True
                         logger.bind(tag=TAG).debug("服务器已准备，开始发送缓存音频...")
-                        
+
                         # 发送缓存音频
                         if conn.asr_audio:
                             for cached_audio in conn.asr_audio[-10:]:
@@ -244,89 +242,89 @@ class ASRProvider(ASRProviderBase):
                                     logger.bind(tag=TAG).warning(f"发送缓存音频失败: {e}")
                                     break
                         continue
-                    
-                    if message_name == "TranscriptionResultChanged":
-                        # 中间结果
-                        text = payload.get("result", "")
-                        if text:
-                            self.text = text
                     elif message_name == "SentenceEnd":
-                        # 最终结果
+                        # 句子结束（每个句子都会触发）
                         text = payload.get("result", "")
                         if text:
-                            self.text = text
-                            conn.reset_vad_states()
-                            # 传递缓存的音频数据
-                            audio_data = getattr(conn, 'asr_audio_for_voiceprint', [])
-                            await self.handle_voice_stop(conn, audio_data)
-                            # 清空缓存
-                            conn.asr_audio_for_voiceprint = []
-                            break
-                    elif message_name == "TranscriptionCompleted":
-                        # 识别完成
-                        self.is_processing = False
-                        break
-                        
+                            logger.bind(tag=TAG).info(f"识别到文本: {text}")
+
+                            # 手动模式下累积识别结果
+                            if conn.client_listen_mode == "manual":
+                                if self.text:
+                                    self.text += text
+                                else:
+                                    self.text = text
+
+                                # 手动模式下，只有在收到stop信号后才触发处理（仅处理一次）
+                                if conn.client_voice_stop:
+                                    audio_data = getattr(conn, 'asr_audio_for_voiceprint', [])
+                                    if len(audio_data) > 0:
+                                        logger.bind(tag=TAG).debug("收到最终识别结果，触发处理")
+                                        await self.handle_voice_stop(conn, audio_data)
+                                        # 清理音频缓存
+                                        conn.asr_audio.clear()
+                                        conn.reset_vad_states()
+                                    break
+                            else:
+                                # 自动模式下直接覆盖
+                                self.text = text
+                                conn.reset_vad_states()
+                                audio_data = getattr(conn, 'asr_audio_for_voiceprint', [])
+                                await self.handle_voice_stop(conn, audio_data)
+                                break
+
                 except asyncio.TimeoutError:
-                    continue
-                except websockets.exceptions.ConnectionClosed:
+                    logger.bind(tag=TAG).error("接收结果超时")
+                    break
+                except websockets.ConnectionClosed:
+                    logger.bind(tag=TAG).info("ASR服务连接已关闭")
+                    self.is_processing = False
                     break
                 except Exception as e:
                     logger.bind(tag=TAG).error(f"处理结果失败: {str(e)}")
                     break
-                    
+
         except Exception as e:
             logger.bind(tag=TAG).error(f"结果转发失败: {str(e)}")
         finally:
-            await self._cleanup(conn)
+            # 清理连接的音频缓存
+            await self._cleanup()
+            if conn:
+                if hasattr(conn, 'asr_audio_for_voiceprint'):
+                    conn.asr_audio_for_voiceprint = []
+                if hasattr(conn, 'asr_audio'):
+                    conn.asr_audio = []
 
-    async def _cleanup(self, conn):
-        """清理资源"""
-        logger.bind(tag=TAG).debug(f"开始ASR会话清理 | 当前状态: processing={self.is_processing}, server_ready={self.server_ready}")
-        
-        # 清理连接的音频缓存
-        if conn and hasattr(conn, 'asr_audio_for_voiceprint'):
-            conn.asr_audio_for_voiceprint = []
-        
-        # 判断是否需要发送终止请求
-        should_stop = self.is_processing or self.server_ready
-        
-        # 发送停止识别请求
-        if self.asr_ws and should_stop:
+    async def _send_stop_request(self):
+        """发送停止识别请求（不关闭连接）"""
+        if self.asr_ws:
             try:
+                # 先停止音频发送
+                self.is_processing = False
+
                 stop_msg = {
                     "header": {
                         "namespace": "SpeechTranscriber",
                         "name": "StopTranscription",
-                        "status": 20000000,
                         "message_id": uuid.uuid4().hex,
                         "task_id": self.task_id,
-                        "status_text": "Client:Stop",
                         "appkey": self.appkey
                     }
                 }
-                logger.bind(tag=TAG).debug("正在发送ASR终止请求")
+                logger.bind(tag=TAG).debug("停止识别请求已发送")
                 await self.asr_ws.send(json.dumps(stop_msg, ensure_ascii=False))
-                await asyncio.sleep(0.1)
-                logger.bind(tag=TAG).debug("ASR终止请求已发送")
             except Exception as e:
-                logger.bind(tag=TAG).error(f"ASR终止请求发送失败: {e}")
-        
-        # 状态重置（在终止请求发送后）
+                logger.bind(tag=TAG).error(f"发送停止识别请求失败: {e}")
+
+    async def _cleanup(self):
+        """清理资源（关闭连接）"""
+        logger.bind(tag=TAG).debug(f"开始ASR会话清理 | 当前状态: processing={self.is_processing}, server_ready={self.server_ready}")
+
+        # 状态重置
         self.is_processing = False
         self.server_ready = False
         logger.bind(tag=TAG).debug("ASR状态已重置")
 
-        # 清理任务
-        if self.forward_task and not self.forward_task.done():
-            self.forward_task.cancel()
-            try:
-                await asyncio.wait_for(self.forward_task, timeout=1.0)
-            except Exception as e:
-                logger.bind(tag=TAG).debug(f"forward_task取消异常: {e}")
-            finally:
-                self.forward_task = None
-        
         # 关闭连接
         if self.asr_ws:
             try:
@@ -337,7 +335,10 @@ class ASRProvider(ASRProviderBase):
                 logger.bind(tag=TAG).error(f"关闭WebSocket连接失败: {e}")
             finally:
                 self.asr_ws = None
-        
+
+        # 清理任务引用
+        self.forward_task = None
+
         logger.bind(tag=TAG).debug("ASR会话清理完成")
 
     async def speech_to_text(self, opus_data, session_id, audio_format):

main/xiaozhi-server/core/providers/asr/base.py

@@ -9,8 +9,6 @@ import asyncio
 import traceback
 import threading
 import opuslib_next
-import concurrent.futures
-import gc
 from abc import ABC, abstractmethod
 from config.logger import setup_logging
 from typing import Optional, Tuple, List
@@ -54,121 +52,89 @@ class ASRProviderBase(ABC):
 
     # 接收音频
     async def receive_audio(self, conn, audio, audio_have_voice):
-        if conn.client_listen_mode == "auto" or conn.client_listen_mode == "realtime":
-            have_voice = audio_have_voice
+        if conn.client_listen_mode == "manual":
+            # 手动模式：缓存音频用于ASR识别
+            conn.asr_audio.append(audio)
         else:
-            have_voice = conn.client_have_voice
-        
-        conn.asr_audio.append(audio)
-        if not have_voice and not conn.client_have_voice:
-            conn.asr_audio = conn.asr_audio[-10:]
-            return
+            # 自动/实时模式：使用VAD检测
+            have_voice = audio_have_voice
 
-        if conn.client_voice_stop:
-            asr_audio_task = conn.asr_audio.copy()
-            conn.asr_audio.clear()
-            conn.reset_vad_states()
+            conn.asr_audio.append(audio)
+            if not have_voice and not conn.client_have_voice:
+                conn.asr_audio = conn.asr_audio[-10:]
+                return
 
-            if len(asr_audio_task) > 15:
-                await self.handle_voice_stop(conn, asr_audio_task)
+            # 自动模式下通过VAD检测到语音停止时触发识别
+            if conn.client_voice_stop:
+                asr_audio_task = conn.asr_audio.copy()
+                conn.asr_audio.clear()
+                conn.reset_vad_states()
+
+                if len(asr_audio_task) > 15:
+                    await self.handle_voice_stop(conn, asr_audio_task)
 
     # 处理语音停止
     async def handle_voice_stop(self, conn, asr_audio_task: List[bytes]):
         """并行处理ASR和声纹识别"""
         try:
             total_start_time = time.monotonic()
-            
+
             # 准备音频数据
             if conn.audio_format == "pcm":
                 pcm_data = asr_audio_task
             else:
                 pcm_data = self.decode_opus(asr_audio_task)
-            
+
             combined_pcm_data = b"".join(pcm_data)
-            
+
             # 预先准备WAV数据
             wav_data = None
             if conn.voiceprint_provider and combined_pcm_data:
                 wav_data = self._pcm_to_wav(combined_pcm_data)
-            
+
             # 定义ASR任务
-            def run_asr():
-                start_time = time.monotonic()
-                try:
-                    loop = asyncio.new_event_loop()
-                    asyncio.set_event_loop(loop)
-                    try:
-                        result = loop.run_until_complete(
-                            self.speech_to_text(asr_audio_task, conn.session_id, conn.audio_format)
-                        )
-                        end_time = time.monotonic()
-                        logger.bind(tag=TAG).debug(f"ASR耗时: {end_time - start_time:.3f}s")
-                        return result
-                    finally:
-                        loop.close()
-                except Exception as e:
-                    end_time = time.monotonic()
-                    logger.bind(tag=TAG).error(f"ASR失败: {e}")
-                    return ("", None)
-            
-            # 定义声纹识别任务
-            def run_voiceprint():
-                if not wav_data:
-                    return None
-                try:
-                    loop = asyncio.new_event_loop()
-                    asyncio.set_event_loop(loop)
-                    try:
-                        # 使用连接的声纹识别提供者
-                        result = loop.run_until_complete(
-                            conn.voiceprint_provider.identify_speaker(wav_data, conn.session_id)
-                        )
-                        return result
-                    finally:
-                        loop.close()
-                except Exception as e:
-                    logger.bind(tag=TAG).error(f"声纹识别失败: {e}")
-                    return None
-            
-            # 使用线程池执行器并行运行
-            with concurrent.futures.ThreadPoolExecutor(max_workers=2) as thread_executor:
-                asr_future = thread_executor.submit(run_asr)
-                
-                if conn.voiceprint_provider and wav_data:
-                    voiceprint_future = thread_executor.submit(run_voiceprint)
-                    
-                    # 等待两个线程都完成
-                    asr_result = asr_future.result(timeout=15)
-                    voiceprint_result = voiceprint_future.result(timeout=15)
-                    
-                    results = {"asr": asr_result, "voiceprint": voiceprint_result}
-                else:
-                    asr_result = asr_future.result(timeout=15)
-                    results = {"asr": asr_result, "voiceprint": None}
-            
-            
-            # 处理结果
-            raw_text, _ = results.get("asr", ("", None))
-            speaker_name = results.get("voiceprint", None)
-            
-            # 记录识别结果
+            asr_task = self.speech_to_text(asr_audio_task, conn.session_id, conn.audio_format)
+
+            if conn.voiceprint_provider and wav_data:
+                voiceprint_task = conn.voiceprint_provider.identify_speaker(wav_data, conn.session_id)
+                # 并发等待两个结果
+                asr_result, voiceprint_result = await asyncio.gather(
+                    asr_task, voiceprint_task, return_exceptions=True
+                )
+            else:
+                asr_result = await asr_task
+                voiceprint_result = None
+
+            # 记录识别结果 - 检查是否为异常
+            if isinstance(asr_result, Exception):
+                logger.bind(tag=TAG).error(f"ASR识别失败: {asr_result}")
+                raw_text = ""
+            else:
+                raw_text, _ = asr_result
+
+            if isinstance(voiceprint_result, Exception):
+                logger.bind(tag=TAG).error(f"声纹识别失败: {voiceprint_result}")
+                speaker_name = ""
+            else:
+                speaker_name = voiceprint_result
+
             if raw_text:
                 logger.bind(tag=TAG).info(f"识别文本: {raw_text}")
             if speaker_name:
                 logger.bind(tag=TAG).info(f"识别说话人: {speaker_name}")
-            
+
             # 性能监控
             total_time = time.monotonic() - total_start_time
             logger.bind(tag=TAG).debug(f"总处理耗时: {total_time:.3f}s")
-            
+
             # 检查文本长度
             text_len, _ = remove_punctuation_and_length(raw_text)
             self.stop_ws_connection()
-            
+
             if text_len > 0:
                 # 构建包含说话人信息的JSON字符串
                 enhanced_text = self._build_enhanced_text(raw_text, speaker_name)
-                
+
                 # 使用自定义模块进行上报
                 await startToChat(conn, enhanced_text)
                 enqueue_asr_report(conn, enhanced_text, asr_audio_task)

main/xiaozhi-server/core/providers/asr/doubao_stream.py

@@ -4,7 +4,6 @@ import uuid
 import asyncio
 import websockets
 import opuslib_next
-import gc
 from core.providers.asr.base import ASRProviderBase
 from config.logger import setup_logging
 from core.providers.asr.dto.dto import InterfaceType
@@ -19,8 +18,6 @@ class ASRProvider(ASRProviderBase):
         self.interface_type = InterfaceType.STREAM
         self.config = config
         self.text = ""
-        self.max_retries = 3
-        self.retry_delay = 2
         self.decoder = opuslib_next.Decoder(16000, 1)
         self.asr_ws = None
         self.forward_task = None
@@ -57,14 +54,13 @@ class ASRProvider(ASRProviderBase):
     async def receive_audio(self, conn, audio, audio_have_voice):
         conn.asr_audio.append(audio)
         conn.asr_audio = conn.asr_audio[-10:]
-        
         # 存储音频数据
         if not hasattr(conn, 'asr_audio_for_voiceprint'):
             conn.asr_audio_for_voiceprint = []
         conn.asr_audio_for_voiceprint.append(audio)
-        
+
         # 当没有音频数据时处理完整语音片段
-        if not audio and len(conn.asr_audio_for_voiceprint) > 0:
+        if conn.client_listen_mode != "manual" and not audio and len(conn.asr_audio_for_voiceprint) > 0:
             await self.handle_voice_stop(conn, conn.asr_audio_for_voiceprint)
             conn.asr_audio_for_voiceprint = []
 
@@ -180,6 +176,7 @@ class ASRProvider(ASRProviderBase):
                                 payload.get("audio_info", {}).get("duration", 0) > 2000
                                 and not utterances
                                 and not payload["result"].get("text")
+                                and conn.client_listen_mode != "manual"
                             ):
                                 logger.bind(tag=TAG).error(f"识别文本：空")
                                 self.text = ""
@@ -188,15 +185,44 @@ class ASRProvider(ASRProviderBase):
                                     await self.handle_voice_stop(conn, audio_data)
                                 break
 
+                            # 专门处理没有文本的识别结果（手动模式下可能已经识别完成但是没松按键）
+                            elif not payload["result"].get("text") and not utterances:
+                                if conn.client_listen_mode == "manual" and conn.client_voice_stop and len(audio_data) > 0:
+                                    logger.bind(tag=TAG).debug("消息结束收到停止信号，触发处理")
+                                    await self.handle_voice_stop(conn, audio_data)
+                                    # 清理音频缓存
+                                    conn.asr_audio.clear()
+                                    conn.reset_vad_states()
+                                    break
+
                             for utterance in utterances:
                                 if utterance.get("definite", False):
-                                    self.text = utterance["text"]
+                                    current_text = utterance["text"]
                                     logger.bind(tag=TAG).info(
-                                        f"识别到文本: {self.text}"
+                                        f"识别到文本: {current_text}"
                                     )
-                                    conn.reset_vad_states()
-                                    if len(audio_data) > 15:  # 确保有足够音频数据
-                                        await self.handle_voice_stop(conn, audio_data)
+
+                                    # 手动模式下累积识别结果
+                                    if conn.client_listen_mode == "manual":
+                                        if self.text:
+                                            self.text += current_text
+                                        else:
+                                            self.text = current_text
+
+                                        # 在接收消息中途时收到停止信号
+                                        if conn.client_voice_stop and len(audio_data) > 0:
+                                            logger.bind(tag=TAG).debug("消息中途收到停止信号，触发处理")
+                                            await self.handle_voice_stop(conn, audio_data)
+                                            # 清理音频缓存
+                                            conn.asr_audio.clear()
+                                            conn.reset_vad_states()
+                                        break
+                                    else:
+                                        # 自动模式下直接覆盖
+                                        self.text = current_text
+                                        conn.reset_vad_states()
+                                        if len(audio_data) > 15:  # 确保有足够音频数据
+                                            await self.handle_voice_stop(conn, audio_data)
                                     break
                         elif "error" in payload:
                             error_msg = payload.get("error", "未知错误")
@@ -228,8 +254,6 @@ class ASRProvider(ASRProviderBase):
                     conn.asr_audio_for_voiceprint = []
                 if hasattr(conn, 'asr_audio'):
                     conn.asr_audio = []
-                if hasattr(conn, 'has_valid_voice'):
-                    conn.has_valid_voice = False
 
     def stop_ws_connection(self):
         if self.asr_ws:
@@ -237,6 +261,20 @@ class ASRProvider(ASRProviderBase):
             self.asr_ws = None
         self.is_processing = False
 
+    async def _send_stop_request(self):
+        """发送最后一个音频帧以通知服务器结束"""
+        if self.asr_ws:
+            try:
+                # 发送结束标记的音频帧（gzip压缩的空数据）
+                empty_payload = gzip.compress(b"")
+                last_audio_request = bytearray(self.generate_last_audio_default_header())
+                last_audio_request.extend(len(empty_payload).to_bytes(4, "big"))
+                last_audio_request.extend(empty_payload)
+                await self.asr_ws.send(last_audio_request)
+                logger.bind(tag=TAG).debug("已发送结束音频帧")
+            except Exception as e:
+                logger.bind(tag=TAG).debug(f"发送结束音频帧时出错: {e}")
+
     def construct_request(self, reqid):
         req = {
             "app": {
@@ -388,5 +426,3 @@ class ASRProvider(ASRProviderBase):
                     conn.asr_audio_for_voiceprint = []
                 if hasattr(conn, 'asr_audio'):
                     conn.asr_audio = []
-                if hasattr(conn, 'has_valid_voice'):
-                    conn.has_valid_voice = False

main/xiaozhi-server/core/providers/asr/fun_local.py

@@ -1,14 +1,16 @@
-import time
 import os
-import sys
 import io
+import sys
+import time
+import shutil
 import psutil
+import asyncio
+
 from config.logger import setup_logging
 from typing import Optional, Tuple, List
-from core.providers.asr.base import ASRProviderBase
 from funasr import AutoModel
 from funasr.utils.postprocess_utils import rich_transcription_postprocess
-import shutil
+from core.providers.asr.base import ASRProviderBase
 from core.providers.asr.dto.dto import InterfaceType
 
 TAG = __name__
@@ -90,16 +92,17 @@ class ASRProvider(ASRProviderBase):
                 else:
                     file_path = self.save_audio_to_file(pcm_data, session_id)
 
-                # 语音识别
+                # 语音识别 - 使用线程池避免阻塞事件循环
                 start_time = time.time()
-                result = self.model.generate(
+                result = await asyncio.to_thread(
+                    self.model.generate,
                     input=combined_pcm_data,
                     cache={},
                     language="auto",
                     use_itn=True,
                     batch_size_s=60,
                 )
-                text = rich_transcription_postprocess(result[0]["text"])
+                text = await asyncio.to_thread(rich_transcription_postprocess, result[0]["text"])
                 logger.bind(tag=TAG).debug(
                     f"语音识别耗时: {time.time() - start_time:.3f}s | 结果: {text}"
                 )

main/xiaozhi-server/core/providers/asr/qwen3_asr_flash.py

@@ -1,8 +1,5 @@
 import os
-import json
-import asyncio
 import tempfile
-import difflib
 from typing import Optional, Tuple, List
 import dashscope
 from config.logger import setup_logging
@@ -16,7 +13,8 @@ logger = setup_logging()
 class ASRProvider(ASRProviderBase):
     def __init__(self, config: dict, delete_audio_file: bool):
         super().__init__()
-        self.interface_type = InterfaceType.STREAM
+        # 音频文件上传类型，流式文本识别输出
+        self.interface_type = InterfaceType.NON_STREAM
         """Qwen3-ASR-Flash ASR初始化"""
         
         # 配置参数
@@ -130,27 +128,11 @@ class ASRProvider(ASRProviderBase):
             
             # 处理流式响应
             full_text = ""
-            last_text = ""  # 用于存储上一个文本片段
             for chunk in response:
                 try:
                     text = chunk["output"]["choices"][0]["message"].content[0]["text"]
-                    # 标准化文本片段（去除首尾空格）
-                    normalized_text = text.strip()
-                    # 只有当新文本片段与上一个不同时才处理
-                    if normalized_text != last_text:
-                        # 提取新增的文本部分
-                        # 通过比较当前文本和上一个文本，找到新增的部分
-                        if normalized_text.startswith(last_text):
-                            # 如果当前文本以最后一个文本开头，则新增部分是两者的差集
-                            new_part = normalized_text[len(last_text):]
-                        else:
-                            # 如果不以最后一个文本开头，说明识别结果发生了较大变化，直接使用当前文本
-                            new_part = normalized_text
-                        
-                        # 将新增部分添加到完整文本中
-                        full_text += new_part
-                        last_text = normalized_text
-                    # 这里可以实时处理文本片段，例如通过回调函数
+                    # 更新为最新的完整文本
+                    full_text = text.strip()
                 except:
                     pass
             

main/xiaozhi-server/core/providers/asr/xunfei_stream.py

@@ -35,9 +35,6 @@ class ASRProvider(ASRProviderBase):
         self.forward_task = None
         self.is_processing = False
         self.server_ready = False
-        self.last_frame_sent = False  # 标记是否已发送最终帧
-        self.best_text = ""  # 保存最佳识别结果
-        self.has_final_result = False  # 标记是否收到最终识别结果
 
         # 讯飞配置
         self.app_id = config.get("app_id")
@@ -52,7 +49,6 @@ class ASRProvider(ASRProviderBase):
             "domain": config.get("domain", "slm"),
             "language": config.get("language", "zh_cn"),
             "accent": config.get("accent", "mandarin"),
-            "dwa": config.get("dwa", "wpgs"),
             "result": {"encoding": "utf8", "compress": "raw", "format": "plain"},
         }
 
@@ -116,7 +112,7 @@ class ASRProvider(ASRProviderBase):
                 await self._start_recognition(conn)
             except Exception as e:
                 logger.bind(tag=TAG).error(f"建立ASR连接失败: {str(e)}")
-                await self._cleanup(conn)
+                await self._cleanup()
                 return
 
         # 发送当前音频数据
@@ -126,7 +122,7 @@ class ASRProvider(ASRProviderBase):
                 await self._send_audio_frame(pcm_frame, STATUS_CONTINUE_FRAME)
             except Exception as e:
                 logger.bind(tag=TAG).warning(f"发送音频数据时发生错误: {e}")
-                await self._cleanup(conn)
+                await self._cleanup()
 
     async def _start_recognition(self, conn):
         """开始识别会话"""
@@ -136,6 +132,10 @@ class ASRProvider(ASRProviderBase):
             ws_url = self.create_url()
             logger.bind(tag=TAG).info(f"正在连接ASR服务: {ws_url[:50]}...")
 
+            # 如果为手动模式,设置超时时长为一分钟
+            if conn.client_listen_mode == "manual":
+                self.iat_params["eos"] = 60000
+
             self.asr_ws = await websockets.connect(
                 ws_url,
                 max_size=1000000000,
@@ -146,8 +146,6 @@ class ASRProvider(ASRProviderBase):
 
             logger.bind(tag=TAG).info("ASR WebSocket连接已建立")
             self.server_ready = False
-            self.last_frame_sent = False
-            self.best_text = ""
             self.forward_task = asyncio.create_task(self._forward_results(conn))
 
             # 发送首帧音频
@@ -196,23 +194,12 @@ class ASRProvider(ASRProviderBase):
 
         await self.asr_ws.send(json.dumps(frame_data, ensure_ascii=False))
 
-        # 标记是否发送了最终帧
-        if status == STATUS_LAST_FRAME:
-            self.last_frame_sent = True
-            logger.bind(tag=TAG).info("标记最终帧已发送")
-
     async def _forward_results(self, conn):
         """转发识别结果"""
         try:
-            while self.asr_ws and not conn.stop_event.is_set():
-                # 获取当前连接的音频数据
-                audio_data = getattr(conn, "asr_audio_for_voiceprint", [])
+            while not conn.stop_event.is_set():
                 try:
-                    # 如果已发送最终帧，增加超时时间等待完整结果
-                    timeout = 3.0 if self.last_frame_sent else 30.0
-                    response = await asyncio.wait_for(
-                        self.asr_ws.recv(), timeout=timeout
-                    )
+                    response = await asyncio.wait_for(self.asr_ws.recv(), timeout=60)
                     result = json.loads(response)
                     logger.bind(tag=TAG).debug(f"收到ASR结果: {result}")
 
@@ -236,144 +223,27 @@ class ASRProvider(ASRProviderBase):
                             # 解码base64文本
                             decoded_text = base64.b64decode(text_data).decode("utf-8")
                             text_json = json.loads(decoded_text)
-
                             # 提取文本内容
                             text_ws = text_json.get("ws", [])
-                            result_text = ""
                             for i in text_ws:
                                 for j in i.get("cw", []):
                                     w = j.get("w", "")
-                                    result_text += w
+                                    self.text += w
 
-                            # 更新识别文本 - 实时更新策略
-                            # 只检查是否为空字符串，不再过滤任何标点符号
-                            # 这样可以确保所有识别到的内容，包括标点符号都能被实时更新
-                            if result_text and result_text.strip():
-                                # 实时更新：正常情况下都更新，提高响应速度
-                                should_update = True
-
-                                # 保存最佳文本
-                                # 1. 如果是识别完成状态或最终帧后收到的结果，优先保存
-                                # 2. 否则保存最长的有意义文本
-                                # 取消对标点符号的过滤，只检查是否为空
-                                # 这样可以保留所有识别到的内容，包括各种标点符号
-                                is_valid_text = len(result_text.strip()) > 0
-
-                                if (
-                                    self.last_frame_sent or status == 2
-                                ) and is_valid_text:
-                                    self.best_text = result_text
-                                    self.has_final_result = True  # 标记已收到最终结果
-                                    logger.bind(tag=TAG).debug(
-                                        f"保存最终识别结果: {self.best_text}"
-                                    )
-                                elif (
-                                    len(result_text) > len(self.best_text)
-                                    and is_valid_text
-                                    and not self.has_final_result
-                                ):
-                                    self.best_text = result_text
-                                    logger.bind(tag=TAG).debug(
-                                        f"保存中间最佳文本: {self.best_text}"
-                                    )
-
-                                # 如果已发送最终帧，只过滤空文本
-                                if self.last_frame_sent:
-                                    # 只拒绝完全空的结果
-                                    if not result_text.strip():
-                                        should_update = False
-                                        logger.bind(tag=TAG).warning(
-                                            f"最终帧后拒绝空文本"
-                                        )
-
-                                if should_update:
-                                    # 处理流式识别结果，避免简单替换导致内容丢失
-                                    # 1. 如果是中间状态（非最终帧后），可能需要替换为更完整的识别
-                                    # 2. 如果是最终帧后收到的结果，可能是对前面文本的补充
-                                    if self.last_frame_sent:
-                                        # 最终帧后收到的结果可能是标点符号等补充内容
-                                        # 检查是否需要合并文本而不是替换
-                                        # 如果当前文本是纯标点而前面已有内容，应该追加而不是替换
-                                        if len(
-                                            self.text
-                                        ) > 0 and result_text.strip() in [
-                                            "。",
-                                            ".",
-                                            "?",
-                                            "？",
-                                            "!",
-                                            "！",
-                                            ",",
-                                            "，",
-                                            ";",
-                                            "；",
-                                        ]:
-                                            # 对于标点符号，追加到现有文本后
-                                            self.text = (
-                                                self.text.rstrip().rstrip("。.")
-                                                + result_text
-                                            )
-                                        else:
-                                            # 其他情况保持替换逻辑
-                                            self.text = result_text
-                                    else:
-                                        # 中间状态替换为新的识别结果
-                                        self.text = result_text
-
-                                    logger.bind(tag=TAG).info(
-                                        f"实时更新识别文本: {self.text} (最终帧已发送: {self.last_frame_sent})"
-                                    )
-
-                    # 识别完成，但如果还没发送最终帧，继续等待
                     if status == 2:
-                        logger.bind(tag=TAG).info(
-                            f"识别完成状态已到达，当前识别文本: {self.text}"
-                        )
-
-                        # 如果还没发送最终帧，继续等待
-                        if not self.last_frame_sent:
-                            logger.bind(tag=TAG).info(
-                                "识别完成但最终帧未发送，继续等待..."
-                            )
-                            continue
-
-                        # 已发送最终帧且收到完成状态，使用最佳策略选择最终结果
-                        # 优先使用识别完成状态下的最新结果，而不是仅仅基于长度
-                        if self.best_text:
-                            # 如果当前文本是在最终帧发送后或识别完成状态下收到的，优先使用
-                            if (
-                                self.last_frame_sent or status == 2
-                            ) and self.text.strip():
-                                logger.bind(tag=TAG).info(
-                                    f"使用完成状态下的最新识别结果: {self.text}"
-                                )
-                            elif len(self.best_text) > len(self.text):
-                                logger.bind(tag=TAG).info(
-                                    f"使用更长的最佳文本作为最终结果: {self.text} -> {self.best_text}"
-                                )
-                                self.text = self.best_text
-
-                        logger.bind(tag=TAG).info(f"获取到最终完整文本: {self.text}")
+                        if conn.client_listen_mode == "manual":
+                            audio_data = getattr(conn, 'asr_audio_for_voiceprint', [])
+                            if len(audio_data) > 0:
+                                logger.bind(tag=TAG).debug("收到最终识别结果，触发处理")
+                                await self.handle_voice_stop(conn, audio_data)
+                                # 清理音频缓存
+                                conn.asr_audio.clear()
                         conn.reset_vad_states()
-                        if len(audio_data) > 15:  # 确保有足够音频数据
-                            # 准备处理结果
-                            pass
                         break
 
                 except asyncio.TimeoutError:
-                    if self.last_frame_sent:
-                        # 超时时也使用最佳文本
-                        if self.best_text and len(self.best_text) > len(self.text):
-                            logger.bind(tag=TAG).info(
-                                f"超时，使用最佳文本: {self.text} -> {self.best_text}"
-                            )
-                            self.text = self.best_text
-                        logger.bind(tag=TAG).info(
-                            f"最终帧后超时，使用结果: {self.text}"
-                        )
-                        break
-                    # 如果还没发送最终帧，继续等待
-                    continue
+                    logger.bind(tag=TAG).error("接收结果超时")
+                    break
                 except websockets.ConnectionClosed:
                     logger.bind(tag=TAG).info("ASR服务连接已关闭")
                     self.is_processing = False
@@ -390,17 +260,15 @@ class ASRProvider(ASRProviderBase):
             if hasattr(e, "__cause__") and e.__cause__:
                 logger.bind(tag=TAG).error(f"错误原因: {str(e.__cause__)}")
         finally:
-            if self.asr_ws:
-                await self.asr_ws.close()
-                self.asr_ws = None
-            self.is_processing = False
+            # 清理连接资源
+            await self._cleanup()
+
+            # 清理连接的音频缓存
             if conn:
                 if hasattr(conn, "asr_audio_for_voiceprint"):
                     conn.asr_audio_for_voiceprint = []
                 if hasattr(conn, "asr_audio"):
                     conn.asr_audio = []
-                if hasattr(conn, "has_valid_voice"):
-                    conn.has_valid_voice = False
 
     async def handle_voice_stop(self, conn, asr_audio_task: List[bytes]):
         """处理语音停止，发送最后一帧并处理识别结果"""
@@ -408,22 +276,13 @@ class ASRProvider(ASRProviderBase):
             # 先发送最后一帧表示音频结束
             if self.asr_ws and self.is_processing:
                 try:
-                    # 取最后一个有效的音频帧作为最后一帧数据
-                    last_frame = b""
-                    if asr_audio_task:
-                        last_audio = asr_audio_task[-1]
-                        last_frame = self.decoder.decode(last_audio, 960)
-                    await self._send_audio_frame(last_frame, STATUS_LAST_FRAME)
-                    logger.bind(tag=TAG).info("已发送最后一帧")
+                    await self._send_audio_frame(b"", STATUS_LAST_FRAME)
+                    logger.bind(tag=TAG).debug(f"已发送停止请求")
 
-                    # 发送最终帧后，给_forward_results适当时间处理最终结果
                     await asyncio.sleep(0.25)
-
-                    logger.bind(tag=TAG).info(f"准备处理最终识别结果: {self.text}")
                 except Exception as e:
-                    logger.bind(tag=TAG).error(f"发送最后一帧失败: {e}")
+                    logger.bind(tag=TAG).error(f"发送停止请求失败: {e}")
 
-            # 调用父类的handle_voice_stop方法处理识别结果
             await super().handle_voice_stop(conn, asr_audio_task)
         except Exception as e:
             logger.bind(tag=TAG).error(f"处理语音停止失败: {e}")
@@ -437,40 +296,27 @@ class ASRProvider(ASRProviderBase):
             self.asr_ws = None
         self.is_processing = False
 
-    async def _cleanup(self, conn):
-        """清理资源"""
-        logger.bind(tag=TAG).info(
+    async def _send_stop_request(self):
+        """发送停止识别请求（不关闭连接）"""
+        if self.asr_ws:
+            try:
+                # 先停止音频发送
+                self.is_processing = False
+                await self._send_audio_frame(b"", STATUS_LAST_FRAME)
+                logger.bind(tag=TAG).debug("已发送停止请求")
+            except Exception as e:
+                logger.bind(tag=TAG).error(f"发送停止请求失败: {e}")
+
+    async def _cleanup(self):
+        """清理资源（关闭连接）"""
+        logger.bind(tag=TAG).debug(
             f"开始ASR会话清理 | 当前状态: processing={self.is_processing}, server_ready={self.server_ready}"
         )
 
-        # 发送最后一帧
-        if self.asr_ws and self.is_processing:
-            try:
-                await self._send_audio_frame(b"", STATUS_LAST_FRAME)
-                await asyncio.sleep(0.1)
-                logger.bind(tag=TAG).info("已发送最后一帧")
-            except Exception as e:
-                logger.bind(tag=TAG).error(f"发送最后一帧失败: {e}")
-
         # 状态重置
         self.is_processing = False
         self.server_ready = False
-        self.last_frame_sent = False
-        self.best_text = ""
-        self.has_final_result = False
-        logger.bind(tag=TAG).info("ASR状态已重置")
-
-        # 清理任务
-        if self.forward_task and not self.forward_task.done():
-            self.forward_task.cancel()
-            try:
-                await asyncio.wait_for(self.forward_task, timeout=1.0)
-            except asyncio.CancelledError:
-                pass
-            except Exception as e:
-                logger.bind(tag=TAG).debug(f"forward_task取消异常: {e}")
-            finally:
-                self.forward_task = None
+        logger.bind(tag=TAG).debug("ASR状态已重置")
 
         # 关闭连接
         if self.asr_ws:
@@ -483,16 +329,10 @@ class ASRProvider(ASRProviderBase):
             finally:
                 self.asr_ws = None
 
-        # 清理连接的音频缓存
-        if conn:
-            if hasattr(conn, "asr_audio_for_voiceprint"):
-                conn.asr_audio_for_voiceprint = []
-            if hasattr(conn, "asr_audio"):
-                conn.asr_audio = []
-            if hasattr(conn, "has_valid_voice"):
-                conn.has_valid_voice = False
+        # 清理任务引用
+        self.forward_task = None
 
-        logger.bind(tag=TAG).info("ASR会话清理完成")
+        logger.bind(tag=TAG).debug("ASR会话清理完成")
 
     async def speech_to_text(self, opus_data, session_id, audio_format):
         """获取识别结果"""
@@ -513,7 +353,7 @@ class ASRProvider(ASRProviderBase):
                 pass
             self.forward_task = None
         self.is_processing = False
-        
+
         # 显式释放decoder资源
         if hasattr(self, 'decoder') and self.decoder is not None:
             try:
@@ -530,5 +370,3 @@ class ASRProvider(ASRProviderBase):
                     conn.asr_audio_for_voiceprint = []
                 if hasattr(conn, "asr_audio"):
                     conn.asr_audio = []
-                if hasattr(conn, "has_valid_voice"):
-                    conn.has_valid_voice = False

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

@@ -2,7 +2,6 @@ import time
 import numpy as np
 import torch
 import opuslib_next
-import gc
 from config.logger import setup_logging
 from core.providers.vad.base import VADProviderBase
 
@@ -45,6 +44,10 @@ class VADProvider(VADProviderBase):
                 pass
 
     def is_vad(self, conn, opus_packet):
+        # 手动模式：直接返回True，不进行实时VAD检测，所有音频都缓存
+        if conn.client_listen_mode == "manual":
+            return True
+            
         try:
             pcm_frame = self.decoder.decode(opus_packet, 960)
             conn.client_audio_buffer.extend(pcm_frame)  # 将新数据加入缓冲区

main/xiaozhi-server/core/utils/audioRateController.py

@@ -10,12 +10,6 @@ class AudioRateController:
     """
     音频速率控制器 - 按照60ms帧时长精确控制音频发送
     解决高并发下的时间累积误差问题
-
-    关键改进：
-    1. 单一时间基准（start_timestamp 只初始化一次）
-    2. 每次检查队列时重新计算 elapsed_ms，避免累积误差
-    3. 分离"检查时间"和"发送"两个操作
-    4. 支持高并发而不产生延迟
     """
 
     def __init__(self, frame_duration=60):
@@ -29,24 +23,34 @@ class AudioRateController:
         self.start_timestamp = None  # 开始时间戳（只读，不修改）
         self.pending_send_task = None
         self.logger = logger
+        self.queue_empty_event = asyncio.Event()  # 队列清空事件
+        self.queue_empty_event.set()  # 初始为空状态
 
     def reset(self):
         """重置控制器状态"""
         if self.pending_send_task and not self.pending_send_task.done():
             self.pending_send_task.cancel()
-            try:
-                # 等待任务取消完成
-                asyncio.get_event_loop().run_until_complete(self.pending_send_task)
-            except asyncio.CancelledError:
-                pass
+            # 取消任务后，任务会在下次事件循环时清理，无需阻塞等待
 
         self.queue.clear()
         self.play_position = 0
         self.start_timestamp = time.time()
+        self.queue_empty_event.set()  # 队列已清空
 
     def add_audio(self, opus_packet):
         """添加音频包到队列"""
         self.queue.append(("audio", opus_packet))
+        self.queue_empty_event.clear()  # 队列非空，清除事件
+
+    def add_message(self, message_callback):
+        """
+        添加消息到队列（立即发送，不占用播放时间）
+
+        Args:
+            message_callback: 消息发送回调函数 async def()
+        """
+        self.queue.append(("message", message_callback))
+        self.queue_empty_event.clear()  # 队列非空，清除事件
 
     def _get_elapsed_ms(self):
         """获取已经过的时间（毫秒）"""
@@ -62,34 +66,47 @@ class AudioRateController:
             send_audio_callback: 发送音频的回调函数 async def(opus_packet)
         """
         if self.start_timestamp is None:
-            self.reset()
+            self.start_timestamp = time.time()
 
         while self.queue:
             item = self.queue[0]
             item_type = item[0]
 
-            if item_type == "audio":
+            if item_type == "message":
+                # 消息类型：立即发送，不占用播放时间
+                _, message_callback = item
+                self.queue.pop(0)
+                try:
+                    await message_callback()
+                except Exception as e:
+                    self.logger.bind(tag=TAG).error(f"发送消息失败: {e}")
+                    raise
+
+            elif item_type == "audio":
                 _, opus_packet = item
 
-                # 计算时间差
-                elapsed_ms = self._get_elapsed_ms()
-                output_ms = self.play_position
+                # 循环等待直到时间到达
+                while True:
+                    # 计算时间差
+                    elapsed_ms = self._get_elapsed_ms()
+                    output_ms = self.play_position
 
-                if elapsed_ms < output_ms:
-                    # 还不到发送时间，计算等待时长
-                    wait_ms = output_ms - elapsed_ms
+                    if elapsed_ms < output_ms:
+                        # 还不到发送时间，计算等待时长
+                        wait_ms = output_ms - elapsed_ms
 
-                    # 等待后继续检查（允许被中断）
-                    try:
-                        await asyncio.sleep(wait_ms / 1000)
-                    except asyncio.CancelledError:
-                        self.logger.bind(tag=TAG).debug("音频发送任务被取消")
-                        raise
+                        # 等待后继续检查（允许被中断）
+                        try:
+                            await asyncio.sleep(wait_ms / 1000)
+                        except asyncio.CancelledError:
+                            self.logger.bind(tag=TAG).debug("音频发送任务被取消")
+                            raise
+                        # 等待结束后重新检查时间（循环回到 while True）
+                    else:
+                        # 时间已到，跳出等待循环
+                        break
 
-                    # 继续循环检查（时间可能已到）
-                    continue
-
-                # 时间已到，发送音频
+                # 时间已到，从队列移除并发送
                 self.queue.pop(0)
                 self.play_position += self.frame_duration
 
@@ -99,26 +116,27 @@ class AudioRateController:
                     self.logger.bind(tag=TAG).error(f"发送音频失败: {e}")
                     raise
 
+        self.queue_empty_event.set()
 
-    async def start_sending(self, send_audio_callback, send_message_callback=None):
+    def start_sending(self, send_audio_callback):
         """
         启动异步发送任务
 
         Args:
             send_audio_callback: 发送音频的回调函数
-            send_message_callback: 发送消息的回调函数
 
         Returns:
             asyncio.Task: 发送任务
         """
+
         async def _send_loop():
             try:
                 while True:
-                    await self.check_queue(send_audio_callback, send_message_callback)
+                    await self.check_queue(send_audio_callback)
                     # 如果队列空了，短暂等待后再检查（避免 busy loop）
                     await asyncio.sleep(0.01)
             except asyncio.CancelledError:
-                self.logger.bind(tag=TAG).info("音频发送循环已停止")
+                self.logger.bind(tag=TAG).debug("音频发送循环已停止")
             except Exception as e:
                 self.logger.bind(tag=TAG).error(f"音频发送循环异常: {e}")
 

main/xiaozhi-server/core/utils/cache/config.py

@@ -19,6 +19,7 @@ class CacheType(Enum):
     CONFIG = "config"
     DEVICE_PROMPT = "device_prompt"
     VOICEPRINT_HEALTH = "voiceprint_health"  # 声纹识别健康检查
+    AUDIO_DATA = "audio_data"  # 音频数据缓存
 
 
 @dataclass
@@ -58,5 +59,8 @@ class CacheConfig:
             CacheType.VOICEPRINT_HEALTH: cls(
                 strategy=CacheStrategy.TTL, ttl=600, max_size=100  # 10分钟过期
             ),
+            CacheType.AUDIO_DATA: cls(
+                strategy=CacheStrategy.TTL, ttl=600, max_size=100  # 10分钟过期
+            ),
         }
         return configs.get(cache_type, cls())

main/xiaozhi-server/core/utils/context_provider.py

@@ -0,0 +1,64 @@
+import httpx
+from typing import Dict, Any, List
+from config.logger import setup_logging
+
+TAG = __name__
+
+class ContextDataProvider:
+    """数据上下文填充，负责从配置的API获取数据"""
+    
+    def __init__(self, config: Dict[str, Any], logger=None):
+        self.config = config
+        self.logger = logger or setup_logging()
+        self.context_data = ""
+
+    def fetch_all(self, device_id: str) -> str:
+        """获取所有配置的上下文数据"""
+        context_providers = self.config.get("context_providers", [])
+        if not context_providers:
+            return ""
+
+        formatted_lines = []
+        for provider in context_providers:
+            url = provider.get("url")
+            headers = provider.get("headers", {})
+
+            if not url:
+                continue
+
+            try:
+                headers = headers.copy() if isinstance(headers, dict) else {}
+                # 将 device_id 添加到请求头
+                headers["device-id"] = device_id
+                
+                # 发送请求
+                response = httpx.get(url, headers=headers, timeout=3)
+                
+                if response.status_code == 200:
+                    result = response.json()
+                    if isinstance(result, dict):
+                        if result.get("code") == 0:
+                            data = result.get("data")
+                            # 格式化数据
+                            if isinstance(data, dict):
+                                for k, v in data.items():
+                                    formatted_lines.append(f"- **{k}：** {v}")
+                            elif isinstance(data, list):
+                                for item in data:
+                                    formatted_lines.append(f"- {item}")
+                            else:
+                                formatted_lines.append(f"- {data}")
+                        else:
+                            self.logger.bind(tag=TAG).warning(f"API {url} 返回错误码: {result.get('msg')}")
+                    else:
+                        self.logger.bind(tag=TAG).warning(f"API {url} 返回的不是JSON字典")
+                else:
+                    self.logger.bind(tag=TAG).warning(f"API {url} 请求失败: {response.status_code}")
+            except Exception as e:
+                self.logger.bind(tag=TAG).error(f"获取上下文数据 {url} 失败: {e}")
+        
+        # 将所有格式化后的行拼接成一个字符串
+        self.context_data = "\n".join(formatted_lines)
+        if self.context_data:
+            self.logger.bind(tag=TAG).debug(f"已注入动态上下文数据:\n{self.context_data}")
+        return self.context_data

main/xiaozhi-server/core/utils/opus_encoder_utils.py

@@ -6,7 +6,6 @@ Opus编码工具类
 import logging
 import traceback
 import numpy as np
-import gc
 from opuslib_next import Encoder
 from opuslib_next import constants
 from typing import Optional, Callable, Any
@@ -103,6 +102,9 @@ class OpusEncoderUtils:
     def _encode(self, frame: np.ndarray) -> Optional[bytes]:
         """编码一帧音频数据"""
         try:
+            # 编码器已释放，跳过编码
+            if not hasattr(self, 'encoder') or self.encoder is None:
+                return None
             # 将numpy数组转换为bytes
             frame_bytes = frame.tobytes()
             # opuslib要求输入字节数必须是channels*2的倍数

main/xiaozhi-server/core/utils/prompt_manager.py

@@ -4,7 +4,6 @@
 """
 
 import os
-import cnlunar
 from typing import Dict, Any
 from config.logger import setup_logging
 from jinja2 import Template
@@ -60,6 +59,11 @@ class PromptManager:
 
         self.cache_manager = cache_manager
         self.CacheType = CacheType
+        
+        # 初始化上下文源
+        from core.utils.context_provider import ContextDataProvider
+        self.context_provider = ContextDataProvider(config, self.logger)
+        self.context_data = {}
 
         self._load_base_template()
 
@@ -184,6 +188,14 @@ class PromptManager:
             local_address = self._get_location_info(client_ip)
             # 获取天气信息（使用全局缓存）
             self._get_weather_info(conn, local_address)
+            
+            # 获取配置的上下文数据
+            if hasattr(conn, "device_id") and conn.device_id:
+                if self.base_prompt_template and "dynamic_context" in self.base_prompt_template:
+                    self.context_data = self.context_provider.fetch_all(conn.device_id)
+                else:
+                    self.context_data = ""
+                
             self.logger.bind(tag=TAG).debug(f"上下文信息更新完成")
 
         except Exception as e:
@@ -230,6 +242,7 @@ class PromptManager:
                 emojiList=EMOJI_List,
                 device_id=device_id,
                 client_ip=client_ip,
+                dynamic_context=self.context_data,
                 *args,
                 **kwargs,
             )

main/xiaozhi-server/core/utils/util.py

@@ -4,11 +4,11 @@ import json
 import copy
 import wave
 import socket
+import asyncio
 import requests
 import subprocess
 import numpy as np
 import opuslib_next
-import gc
 from io import BytesIO
 from core.utils import p3
 from pydub import AudioSegment
@@ -269,56 +269,82 @@ def audio_to_data_stream(
     pcm_to_data_stream(raw_data, is_opus, callback)
 
 
-def audio_to_data(audio_file_path: str, is_opus: bool = True) -> list[bytes]:
+async def audio_to_data(
+    audio_file_path: str, is_opus: bool = True, use_cache: bool = True
+) -> list[bytes]:
     """
     将音频文件转换为Opus/PCM编码的帧列表
     Args:
         audio_file_path: 音频文件路径
         is_opus: 是否进行Opus编码
+        use_cache: 是否使用缓存
     """
-    # 获取文件后缀名
-    file_type = os.path.splitext(audio_file_path)[1]
-    if file_type:
-        file_type = file_type.lstrip(".")
-    # 读取音频文件，-nostdin 参数：不要从标准输入读取数据，否则FFmpeg会阻塞
-    audio = AudioSegment.from_file(
-        audio_file_path, format=file_type, parameters=["-nostdin"]
-    )
+    from core.utils.cache.manager import cache_manager
+    from core.utils.cache.config import CacheType
 
-    # 转换为单声道/16kHz采样率/16位小端编码（确保与编码器匹配）
-    audio = audio.set_channels(1).set_frame_rate(16000).set_sample_width(2)
+    # 生成缓存键，包含文件路径和编码类型
+    cache_key = f"{audio_file_path}:{is_opus}"
 
-    # 获取原始PCM数据（16位小端）
-    raw_data = audio.raw_data
+    # 尝试从缓存获取结果
+    if use_cache:
+        cached_result = cache_manager.get(CacheType.AUDIO_DATA, cache_key)
+        if cached_result is not None:
+            return cached_result
 
-    # 初始化Opus编码器
-    encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
+    def _sync_audio_to_data():
+        # 获取文件后缀名
+        file_type = os.path.splitext(audio_file_path)[1]
+        if file_type:
+            file_type = file_type.lstrip(".")
+        # 读取音频文件，-nostdin 参数：不要从标准输入读取数据，否则FFmpeg会阻塞
+        audio = AudioSegment.from_file(
+            audio_file_path, format=file_type, parameters=["-nostdin"]
+        )
 
-    # 编码参数
-    frame_duration = 60  # 60ms per frame
-    frame_size = int(16000 * frame_duration / 1000)  # 960 samples/frame
+        # 转换为单声道/16kHz采样率/16位小端编码（确保与编码器匹配）
+        audio = audio.set_channels(1).set_frame_rate(16000).set_sample_width(2)
 
-    datas = []
-    # 按帧处理所有音频数据（包括最后一帧可能补零）
-    for i in range(0, len(raw_data), frame_size * 2):  # 16bit=2bytes/sample
-        # 获取当前帧的二进制数据
-        chunk = raw_data[i : i + frame_size * 2]
+        # 获取原始PCM数据（16位小端）
+        raw_data = audio.raw_data
 
-        # 如果最后一帧不足，补零
-        if len(chunk) < frame_size * 2:
-            chunk += b"\x00" * (frame_size * 2 - len(chunk))
+        # 初始化Opus编码器
+        encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
 
-        if is_opus:
-            # 转换为numpy数组处理
-            np_frame = np.frombuffer(chunk, dtype=np.int16)
-            # 编码Opus数据
-            frame_data = encoder.encode(np_frame.tobytes(), frame_size)
-        else:
-            frame_data = chunk if isinstance(chunk, bytes) else bytes(chunk)
+        # 编码参数
+        frame_duration = 60  # 60ms per frame
+        frame_size = int(16000 * frame_duration / 1000)  # 960 samples/frame
 
-        datas.append(frame_data)
+        datas = []
+        # 按帧处理所有音频数据（包括最后一帧可能补零）
+        for i in range(0, len(raw_data), frame_size * 2):  # 16bit=2bytes/sample
+            # 获取当前帧的二进制数据
+            chunk = raw_data[i : i + frame_size * 2]
 
-    return datas
+            # 如果最后一帧不足，补零
+            if len(chunk) < frame_size * 2:
+                chunk += b"\x00" * (frame_size * 2 - len(chunk))
+
+            if is_opus:
+                # 转换为numpy数组处理
+                np_frame = np.frombuffer(chunk, dtype=np.int16)
+                # 编码Opus数据
+                frame_data = encoder.encode(np_frame.tobytes(), frame_size)
+            else:
+                frame_data = chunk if isinstance(chunk, bytes) else bytes(chunk)
+
+            datas.append(frame_data)
+
+        return datas
+
+    loop = asyncio.get_running_loop()
+    # 在单独的线程中执行同步的音频处理操作
+    result = await loop.run_in_executor(None, _sync_audio_to_data)
+
+    # 将结果存入缓存，使用配置中定义的TTL（10分钟）
+    if use_cache:
+        cache_manager.set(CacheType.AUDIO_DATA, cache_key, result)
+
+    return result
 
 
 def audio_bytes_to_data_stream(

main/xiaozhi-server/core/websocket_server.py

@@ -1,8 +1,35 @@
 import asyncio
-import json
+import logging
 
 import websockets
 from config.logger import setup_logging
+
+
+class SuppressInvalidHandshakeFilter(logging.Filter):
+    """过滤掉无效握手错误日志（如HTTPS访问WS端口）"""
+
+    def filter(self, record):
+        msg = record.getMessage()
+        suppress_keywords = [
+            "opening handshake failed",
+            "did not receive a valid HTTP request",
+            "connection closed while reading HTTP request",
+            "line without CRLF",
+        ]
+        return not any(keyword in msg for keyword in suppress_keywords)
+
+
+def _setup_websockets_logger():
+    """配置 websockets 相关的所有 logger，过滤无效握手错误"""
+    filter_instance = SuppressInvalidHandshakeFilter()
+    for logger_name in ["websockets", "websockets.server", "websockets.client"]:
+        logger = logging.getLogger(logger_name)
+        logger.addFilter(filter_instance)
+
+
+_setup_websockets_logger()
+
+
 from core.connection import ConnectionHandler
 from config.config_loader import get_config_from_api_async
 from core.auth import AuthManager, AuthenticationError

main/xiaozhi-server/performance_tester/performance_tester_stream_asr.py

@@ -50,7 +50,9 @@ class BaseASRTester:
         raise NotImplementedError
 
     def _calculate_result(self, service_name, latencies, test_count):
-        valid_latencies = [l for l in latencies if l > 0]
+        """计算测试结果（修复：正确处理None值，剔除失败测试）"""
+        # 剔除None值（失败的测试）和无效延迟，只统计有效延迟
+        valid_latencies = [l for l in latencies if l is not None and l > 0]
         if valid_latencies:
             avg_latency = sum(valid_latencies) / len(valid_latencies)
             status = f"成功（{len(valid_latencies)}/{test_count}次有效）"
@@ -64,16 +66,45 @@ class DoubaoStreamASRTester(BaseASRTester):
     def __init__(self):
         super().__init__("DoubaoStreamASR")
 
-    def _generate_header(self):
+    def _generate_header(
+        self,
+        version=0x01,
+        message_type=0x01,
+        message_type_specific_flags=0x00,
+        serial_method=0x01,
+        compression_type=0x01,
+        reserved_data=0x00,
+        extension_header: bytes = b"",
+    ):
+        """生成协议头（修复：使用正确的Header格式）"""
         header = bytearray()
-        header.append((0x01 << 4) | 0x01)
-        header.append((0x01 << 4) | 0x00)
-        header.append((0x01 << 4) | 0x01)
-        header.append(0x00)
+        header_size = int(len(extension_header) / 4) + 1
+        header.append((version << 4) | header_size)
+        header.append((message_type << 4) | message_type_specific_flags)
+        header.append((serial_method << 4) | compression_type)
+        header.append(reserved_data)
+        header.extend(extension_header)
         return header
 
     def _generate_audio_default_header(self):
-        return self._generate_header()
+        """生成音频数据Header"""
+        return self._generate_header(
+            version=0x01,
+            message_type=0x02,
+            message_type_specific_flags=0x00,  # 普通音频帧
+            serial_method=0x01,
+            compression_type=0x01,
+        )
+
+    def _generate_last_audio_header(self):
+        """生成最后一帧音频的Header（标记音频结束）"""
+        return self._generate_header(
+            version=0x01,
+            message_type=0x02,
+            message_type_specific_flags=0x02,  # 0x02表示这是最后一帧
+            serial_method=0x01,
+            compression_type=0x01,
+        )
 
     def _parse_response(self, res: bytes) -> dict:
         try:
@@ -110,6 +141,7 @@ class DoubaoStreamASRTester(BaseASRTester):
                 ws_url = "wss://openspeech.bytedance.com/api/v3/sauc/bigmodel"
                 appid = self.asr_config["appid"]
                 access_token = self.asr_config["access_token"]
+                cluster = self.asr_config.get("cluster", "volcengine_input_common")
                 uid = self.asr_config.get("uid", "streaming_asr_service")
 
                 start_time = time.time()
@@ -130,7 +162,7 @@ class DoubaoStreamASRTester(BaseASRTester):
                     close_timeout=10
                 ) as ws:
                     request_params = {
-                        "app": {"appid": appid, "token": access_token},
+                        "app": {"appid": appid, "cluster": cluster, "token": access_token},
                         "user": {"uid": uid},
                         "request": {
                             "reqid": str(uuid.uuid4()),
@@ -166,8 +198,9 @@ class DoubaoStreamASRTester(BaseASRTester):
                     if audio_data.startswith(b'RIFF'):
                         audio_data = audio_data[44:]
 
+                    # 发送音频数据（使用最后一帧标记，告诉服务端音频已结束）
                     payload = gzip.compress(audio_data)
-                    audio_request = bytearray(self._generate_audio_default_header())
+                    audio_request = bytearray(self._generate_last_audio_header())  # 修复：使用最后一帧Header
                     audio_request.extend(len(payload).to_bytes(4, "big"))
                     audio_request.extend(payload)
                     await ws.send(audio_request)
@@ -175,11 +208,12 @@ class DoubaoStreamASRTester(BaseASRTester):
                     first_chunk = await ws.recv()
                     latency = time.time() - start_time
                     latencies.append(latency)
+                    print(f"[豆包ASR] 第{i+1}次 首词延迟: {latency:.3f}s")
                     await ws.close()
 
             except Exception as e:
                 print(f"[豆包ASR] 第{i+1}次测试失败: {str(e)}")
-                latencies.append(0)
+                latencies.append(None)
 
         return self._calculate_result("豆包流式ASR", latencies, test_count)
 
@@ -189,11 +223,12 @@ class QwenASRFlashTester(BaseASRTester):
         super().__init__("Qwen3ASRFlash")
 
     async def _test_single(self, audio_file_info):
-        start_time = time.time()
         temp_file_path = None
 
         try:
             audio_data = audio_file_info['data']
+
+            # 优化：将临时文件准备工作移到计时前，减少磁盘IO对性能测试的影响
             with tempfile.NamedTemporaryFile(suffix='.wav', delete=False) as f:
                 temp_file_path = f.name
 
@@ -221,6 +256,9 @@ class QwenASRFlashTester(BaseASRTester):
 
             dashscope.api_key = api_key
 
+            # 统一计时起点：在API调用前开始计时（但文件准备已完成）
+            start_time = time.time()
+
             response = dashscope.MultiModalConversation.call(
                 model="qwen3-asr-flash",
                 messages=messages,
@@ -257,10 +295,10 @@ class QwenASRFlashTester(BaseASRTester):
                 # print(f"\n[通义ASR] 开始第 {i+1} 次测试...")
                 latency = await self._test_single(self.test_audio_files[0])
                 latencies.append(latency)
-                # print(f"[通义ASR] 第{i+1}次成功 延迟: {latency:.3f}s")
+                print(f"[通义ASR] 第{i+1}次 首词延迟: {latency:.3f}s")
             except Exception as e:
                 # print(f"[通义ASR] 第{i+1}次测试失败: {str(e)}")
-                latencies.append(0)
+                latencies.append(None)
 
         return self._calculate_result("通义千问ASR", latencies, test_count)
 
@@ -268,134 +306,115 @@ class QwenASRFlashTester(BaseASRTester):
 class XunfeiStreamASRTester(BaseASRTester):
     def __init__(self):
         super().__init__("XunfeiStreamASR")
-        
+
     def _create_url(self):
-        """生成讯飞ASR认证URL"""
-        url = 'ws://iat.cn-huabei-1.xf-yun.com/v1'
-        # 生成RFC1123格式的时间戳
+        url = "wss://iat-api.xfyun.cn/v2/iat"
         now = datetime.now()
         date = format_date_time(mktime(now.timetuple()))
 
-        # 拼接字符串
-        signature_origin = "host: " + "iat.cn-huabei-1.xf-yun.com" + "\n"
-        signature_origin += "date: " + date + "\n"
-        signature_origin += "GET " + "/v1 " + "HTTP/1.1"
+        signature_origin = f"host: iat-api.xfyun.cn\ndate: {date}\nGET /v2/iat HTTP/1.1"
+        signature_sha = hmac.new(
+            self.asr_config["api_secret"].encode('utf-8'),
+            signature_origin.encode('utf-8'),
+            hashlib.sha256
+        ).digest()
+        signature_sha = base64.b64encode(signature_sha).decode()
 
-        # 进行hmac-sha256进行加密
-        signature_sha = hmac.new(self.asr_config["api_secret"].encode('utf-8'), signature_origin.encode('utf-8'),
-                                 digestmod=hashlib.sha256).digest()
-        signature_sha = base64.b64encode(signature_sha).decode(encoding='utf-8')
+        authorization_origin = f'api_key="{self.asr_config["api_key"]}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha}"'
+        authorization = base64.b64encode(authorization_origin.encode()).decode()
 
-        authorization_origin = "api_key=\"%s\", algorithm=\"%s\", headers=\"%s\", signature=\"%s\"" % (
-            self.asr_config["api_key"], "hmac-sha256", "host date request-line", signature_sha)
-        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')
+        v = {"authorization": authorization, "date": date, "host": "iat-api.xfyun.cn"}
+        return url + "?" + parse.urlencode(v)
 
-        # 将请求的鉴权参数组合为字典
-        v = {
-            "authorization": authorization,
-            "date": date,
-            "host": "iat.cn-huabei-1.xf-yun.com"
-        }
-
-        # 拼接鉴权参数，生成url
-        url = url + '?' + parse.urlencode(v)
-        return url
-    
-    async def test(self, test_count=5):
+    async def test(self, test_count: int = 5):
         if not self.test_audio_files:
             return {"name": "讯飞流式ASR", "latency": 0, "status": "失败: 未找到测试音频"}
         if not self.asr_config:
             return {"name": "讯飞流式ASR", "latency": 0, "status": "失败: 未配置"}
-        
-        # 检查必要的配置参数
-        required_keys = ["app_id", "api_key", "api_secret"]
-        for key in required_keys:
-            if key not in self.asr_config:
-                return {"name": "讯飞流式ASR", "latency": 0, "status": f"失败: 缺少配置项 {key}"}
-    
+
+        required = ["app_id", "api_key", "api_secret"]
+        for k in required:
+            if k not in self.asr_config:
+                return {"name": "讯飞流式ASR", "latency": 0, "status": f"失败: 缺少配置 {k}"}
+
         latencies = []
-        STATUS_FIRST_FRAME = 0
-        
+        frame_size = 1280
+        audio_raw = self.test_audio_files[0]['data']
+        if audio_raw.startswith(b'RIFF'):
+            audio_raw = audio_raw[44:]
+
         for i in range(test_count):
             try:
-                # 生成认证URL
-                ws_url = self._create_url()
-                
-                # 获取音频数据
-                audio_data = self.test_audio_files[0]['data']
-                if audio_data.startswith(b'RIFF'):
-                    audio_data = audio_data[44:]  # 跳过WAV文件头
-                
-                # 识别参数
-                iat_params = {
-                    "domain": self.asr_config.get("domain", "slm"),
-                    "language": self.asr_config.get("language", "zh_cn"),
-                    "accent": self.asr_config.get("accent", "mandarin"),
-                    "dwa": self.asr_config.get("dwa", "wpgs"),
-                    "result": {
-                        "encoding": "utf8",
-                        "compress": "raw",
-                        "format": "plain"
-                    }
-                }
-                
-                # 准备首帧数据
-                first_frame_data = {
-                    "header": {
-                        "status": STATUS_FIRST_FRAME,
-                        "app_id": self.asr_config["app_id"]
-                    },
-                    "parameter": {
-                        "iat": iat_params
-                    },
-                    "payload": {
-                        "audio": {
-                            "audio": base64.b64encode(audio_data[:960]).decode('utf-8'),
-                            "sample_rate": 16000,
-                            "encoding": "raw"
-                        }
-                    }
-                }
-                
-                # 启动连接并测量时间
                 start_time = time.time()
-                
+                ws_url = self._create_url()
+
                 async with websockets.connect(
                     ws_url,
-                    max_size=1000000000,
+                    additional_headers={"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64)"},
+                    max_size=1 << 30,
                     ping_interval=None,
                     ping_timeout=None,
                     close_timeout=30,
                 ) as ws:
-                    # 发送首帧数据
-                    await ws.send(json.dumps(first_frame_data, ensure_ascii=False))
-                    print(f"[讯飞ASR] 第{i+1}次测试：已发送首帧，等待响应...")
-                    
-                    # 直接等待第一个响应并计算延迟
-                    # 参考豆包和通义千问的实现方式，简化逻辑
-                    response_received = False
-                    while not response_received:
-                        try:
-                            # 设置较大的超时时间
-                            response = await asyncio.wait_for(ws.recv(), timeout=30.0)
-                            
-                            # 收到响应立即计算延迟，不管内容是什么
-                            # 这样可以准确测量首包到达时间
-                            latency = time.time() - start_time
-                            latencies.append(latency)
-                            response_received = True
-                            
-                            print(f"[讯飞ASR] 第{i+1}次测试：收到首包响应，延迟: {latency:.3f}s")
+
+                    # 第一帧：移除 punc 字段，避免未知参数错误
+                    await ws.send(json.dumps({
+                        "common": {"app_id": self.asr_config["app_id"]},
+                        "business": {
+                            "domain": "iat",
+                            "language": "zh_cn",
+                            "accent": "mandarin",
+                            "dwa": "wpgs",
+                            "vad_eos": 5000
+                            # 已移除 "punc": True
+                        },
+                        "data": {
+                            "status": 0,
+                            "format": "audio/L16;rate=16000",
+                            "encoding": "raw",
+                            "audio": base64.b64encode(audio_raw[:frame_size]).decode()
+                        }
+                    }, ensure_ascii=False))
+
+                    # 后续所有帧
+                    pos = frame_size
+                    while pos < len(audio_raw):
+                        chunk = audio_raw[pos:pos + frame_size]
+                        status = 2 if (pos + frame_size >= len(audio_raw)) else 1
+                        await ws.send(json.dumps({
+                            "data": {
+                                "status": status,
+                                "format": "audio/L16;rate=16000",
+                                "encoding": "raw",
+                                "audio": base64.b64encode(chunk).decode()
+                            }
+                        }, ensure_ascii=False))
+                        if status == 2:
                             break
-                        except asyncio.TimeoutError:
-                            print(f"[讯飞ASR] 第{i+1}次测试：响应超时")
-                            raise Exception("获取响应超时")
+                        pos += frame_size
+
+                    # 接收首词
+                    first_token = True
+                    async for message in ws:
+                        data = json.loads(message)
+                        if data.get("code") != 0:
+                            raise Exception(f"讯飞错误: {data.get('message')}")
+
+                        ws_result = data.get("data", {}).get("result", {}).get("ws")
+                        if ws_result:
+                            text = "".join(cw.get("w", "") for seg in ws_result for cw in seg.get("cw", []))
+                            if text.strip() and first_token:
+                                latency = time.time() - start_time
+                                latencies.append(latency)
+                                print(f"[讯飞ASR] 第{i+1}次 首词延迟: {latency:.3f}s")
+                                first_token = False
+                                break
+
             except Exception as e:
                 print(f"[讯飞ASR] 第{i+1}次测试失败: {str(e)}")
-                latencies.append(0)
-        
-        return self._calculate_result("讯飞流式ASR", latencies, test_count)
+                latencies.append(None)
 
+        return self._calculate_result("讯飞流式ASR", latencies, test_count)
 class ASRPerformanceSuite:
     def __init__(self):
         self.testers = []
@@ -438,8 +457,9 @@ class ASRPerformanceSuite:
 
         print(tabulate(table_data, headers=["ASR服务", "首词延迟", "状态"], tablefmt="grid"))
         print("\n测试说明：")
-        print("- 测量从发送请求到接收第一个有效识别文本的时间")
-        print("- 超时控制: DashScope 默认超时，豆包 WebSocket 超时10秒")
+        print("- 计时起点: 建立连接前（包含握手、发送音频、接收首个识别结果全流程）")
+        print("- 通义千问优化: 临时文件准备在计时前完成，减少磁盘IO对测试的影响")
+        print("- 错误处理: 失败的测试不计入平均值，只统计成功测试的延迟")
         print("- 排序规则: 成功的按延迟升序，失败的排在后面")
 
     async def run(self, test_count=5):

main/xiaozhi-server/performance_tester/performance_tester_stream_tts.py

@@ -35,11 +35,12 @@ class StreamTTSPerformanceTester:
                 host = tts_config["host"]
                 ws_url = f"wss://{host}/ws/v1"
 
+                # 统一计时起点：在建立连接前开始计时
                 start_time = time.time()
                 async with websockets.connect(ws_url, extra_headers={"X-NLS-Token": token}) as ws:
                     task_id = str(uuid.uuid4())
                     message_id = str(uuid.uuid4())
-                    
+
                     start_request = {
                         "header": {
                             "message_id": message_id,
@@ -55,14 +56,15 @@ class StreamTTSPerformanceTester:
                             "volume": 50,
                             "speech_rate": 0,
                             "pitch_rate": 0,
+                            "enable_subtitle": True,
                         }
                     }
                     await ws.send(json.dumps(start_request))
-                    
+
                     start_response = json.loads(await ws.recv())
                     if start_response["header"]["name"] != "SynthesisStarted":
                         raise Exception("启动合成失败")
-                    
+
                     run_request = {
                         "header": {
                             "message_id": str(uuid.uuid4()),
@@ -74,23 +76,142 @@ class StreamTTSPerformanceTester:
                         "payload": {"text": text}
                     }
                     await ws.send(json.dumps(run_request))
-                    
+
                     while True:
                         response = await ws.recv()
                         if isinstance(response, bytes):
                             latency = time.time() - start_time
                             latencies.append(latency)
+                            print(f"[阿里云TTS] 第{i+1}次 首词延迟: {latency:.3f}s")
                             break
                         elif isinstance(response, str):
                             data = json.loads(response)
                             if data["header"]["name"] == "TaskFailed":
                                 raise Exception(f"合成失败: {data['payload']['error_info']}")
-                    
+
             except Exception as e:
-                latencies.append(0)
+                print(f"[阿里云TTS] 第{i+1}次测试失败: {str(e)}")
+                latencies.append(None)
         
         return self._calculate_result("阿里云TTS", latencies, test_count)
 
+    async def test_alibl_tts(self, text=None, test_count=5):
+        """测试阿里云百炼CosyVoice流式TTS首词延迟"""
+        text = text or self.test_texts[0]
+        latencies = []
+
+        for i in range(test_count):
+            try:
+                tts_config = self.config["TTS"]["AliBLTTS"]
+                api_key = tts_config["api_key"]
+                model = tts_config.get("model", "cosyvoice-v2")
+                voice = tts_config.get("voice", "longxiaochun_v2")
+                format_type = tts_config.get("format", "pcm")
+                sample_rate = int(tts_config.get("sample_rate", "24000"))
+
+                ws_url = "wss://dashscope.aliyuncs.com/api-ws/v1/inference/"
+                headers = {
+                    "Authorization": f"Bearer {api_key}",
+                    "X-DashScope-DataInspection": "enable",
+                }
+
+                start_time = time.time()
+
+                async with websockets.connect(
+                    ws_url,
+                    additional_headers=headers,
+                    ping_interval=30,
+                    ping_timeout=10,
+                    close_timeout=10,
+                    max_size=10 * 1024 * 1024,
+                ) as ws:
+                    session_id = uuid.uuid4().hex
+
+                    # 1. 发送 run-task（启动任务）
+                    run_task_message = {
+                        "header": {
+                            "action": "run-task",
+                            "task_id": session_id,
+                            "streaming": "duplex",
+                        },
+                        "payload": {
+                            "task_group": "audio",
+                            "task": "tts",
+                            "function": "SpeechSynthesizer",
+                            "model": model,
+                            "parameters": {
+                                "text_type": "PlainText",
+                                "voice": voice,
+                                "format": format_type,
+                                "sample_rate": sample_rate,
+                                "volume": 50,
+                                "rate": 1.0,
+                                "pitch": 1.0,
+                            },
+                            "input": {}
+                        },
+                    }
+                    await ws.send(json.dumps(run_task_message))
+
+                    # 2. 等待 task-started 事件（关键！必须等这个再发文本）
+                    task_started = False
+                    while not task_started:
+                        msg = await ws.recv()
+                        if isinstance(msg, str):
+                            data = json.loads(msg)
+                            header = data.get("header", {})
+                            event = header.get("event")
+                            if event == "task-started":
+                                task_started = True
+                                print(f"[阿里云百炼TTS] 第{i+1}次 任务启动成功")
+                            elif event == "task-failed":
+                                raise Exception(f"启动失败: {header.get('error_message', '未知错误')}")
+
+                    # 3. 发送 continue-task（发送文本！这是正确动作）
+                    continue_task_message = {
+                        "header": {
+                            "action": "continue-task",  # 改回 continue-task
+                            "task_id": session_id,
+                            "streaming": "duplex",
+                        },
+                        "payload": {"input": {"text": text}},
+                    }
+                    await ws.send(json.dumps(continue_task_message))
+
+                    # 4. 发送 finish-task（结束任务）
+                    finish_task_message = {
+                        "header": {
+                            "action": "finish-task",
+                            "task_id": session_id,
+                            "streaming": "duplex",
+                        },
+                        "payload": {"input": {}}
+                    }
+                    await ws.send(json.dumps(finish_task_message))
+
+                    # 5. 等待第一个音频数据块
+                    while True:
+                        msg = await asyncio.wait_for(ws.recv(), timeout=15.0)
+                        if isinstance(msg, (bytes, bytearray)) and len(msg) > 0:
+                            latency = time.time() - start_time
+                            print(f"[阿里云百炼TTS] 第{i+1}次 首词延迟: {latency:.3f}s")
+                            latencies.append(latency)
+                            break
+                        elif isinstance(msg, str):
+                            data = json.loads(msg)
+                            event = data.get("header", {}).get("event")
+                            if event == "task-failed":
+                                raise Exception(f"合成失败: {data}")
+                            elif event == "task-finished":
+                                if not latencies or latencies[-1] is None:
+                                    raise Exception("任务结束但未收到音频")
+
+            except Exception as e:
+                print(f"[阿里云百炼TTS] 第{i+1}次失败: {str(e)}")
+                latencies.append(None)
+
+        return self._calculate_result("阿里云百炼TTS", latencies, test_count)
+
     async def test_doubao_tts(self, text=None, test_count=5):
         """测试火山引擎流式TTS首词延迟（测试多次取平均）"""
         text = text or self.test_texts[0]
@@ -114,13 +235,12 @@ class StreamTTSPerformanceTester:
                 }
                 async with websockets.connect(ws_url, additional_headers=ws_header, max_size=1000000000) as ws:
                     session_id = uuid.uuid4().hex
-                    
+
                     # 发送会话启动请求
                     header = bytes([
-                        (0b0001 << 4) | 0b0001, 
-                        0b0001 << 4 | 0b100,     
-                        0b0001 << 4 | 0b0000,    
-                        0                         
+                        (0b0001 << 4) | 0b0001,  
+                        0b0001 << 4 | 0b1011,     
+                        0b0001 << 4 | 0b0000,
                     ])
                     optional = bytearray()
                     optional.extend((1).to_bytes(4, "big", signed=True))
@@ -129,13 +249,13 @@ class StreamTTSPerformanceTester:
                     optional.extend(session_id_bytes)
                     payload = json.dumps({"speaker": speaker}).encode()
                     await ws.send(header + optional + len(payload).to_bytes(4, "big", signed=True) + payload)
-                    
+
                     # 发送文本
                     header = bytes([
-                        (0b0001 << 4) | 0b0001, 
-                        0b0001 << 4 | 0b100,     
-                        0b0001 << 4 | 0b0000,    
-                        0                        
+                        (0b0001 << 4) | 0b0001,  
+                        0b0001 << 4 | 0b1011,    
+                        0b0001 << 4 | 0b0000,
+                        0
                     ])
                     optional = bytearray()
                     optional.extend((200).to_bytes(4, "big", signed=True))
@@ -144,13 +264,15 @@ class StreamTTSPerformanceTester:
                     optional.extend(session_id_bytes)
                     payload = json.dumps({"text": text, "speaker": speaker}).encode()
                     await ws.send(header + optional + len(payload).to_bytes(4, "big", signed=True) + payload)
-                    
+
                     first_chunk = await ws.recv()
                     latency = time.time() - start_time
                     latencies.append(latency)
-                    
+                    print(f"[火山引擎TTS] 第{i+1}次 首词延迟: {latency:.3f}s")
+
             except Exception as e:
-                latencies.append(0)
+                print(f"[火山引擎TTS] 第{i+1}次测试失败: {str(e)}")
+                latencies.append(None)
         
         return self._calculate_result("火山引擎TTS", latencies, test_count)
 
@@ -191,22 +313,24 @@ class StreamTTSPerformanceTester:
                     first_chunk = await ws.recv()
                     latency = time.time() - start_time
                     latencies.append(latency)
-                    
+                    print(f"[PaddleSpeechTTS] 第{i+1}次 首词延迟: {latency:.3f}s")
+
                     # 发送结束请求
                     end_request = {
                         "task": "tts",
                         "signal": "end"
                     }
                     await ws.send(json.dumps(end_request))
-                    
+
                     # 确保连接正常关闭
                     try:
                         await ws.recv()
                     except websockets.exceptions.ConnectionClosedOK:
                         pass
-                        
+
             except Exception as e:
-                latencies.append(0)
+                print(f"[PaddleSpeechTTS] 第{i+1}次测试失败: {str(e)}")
+                latencies.append(None)
         
         return self._calculate_result("PaddleSpeechTTS", latencies, test_count)
             
@@ -220,29 +344,32 @@ class StreamTTSPerformanceTester:
                 tts_config = self.config["TTS"]["IndexStreamTTS"]
                 api_url = tts_config.get("api_url")
                 voice = tts_config.get("voice")
-                
+
+                # 统一计时起点：在建立连接前开始计时
                 start_time = time.time()
-                
+
                 async with aiohttp.ClientSession() as session:
                     payload = {"text": text, "character": voice}
                     async with session.post(api_url, json=payload, timeout=10) as resp:
                         if resp.status != 200:
                             raise Exception(f"请求失败: {resp.status}, {await resp.text()}")
-                        
+
                         async for chunk in resp.content.iter_any():
                             data = chunk[0] if isinstance(chunk, (list, tuple)) else chunk
                             if not data:
                                 continue
-                            
+
                             latency = time.time() - start_time
                             latencies.append(latency)
+                            print(f"[IndexStreamTTS] 第{i+1}次 首词延迟: {latency:.3f}s")
                             resp.close()
                             break
                         else:
-                            latencies.append(0)
-                            
+                            latencies.append(None)
+
             except Exception as e:
-                latencies.append(0)
+                print(f"[IndexStreamTTS] 第{i+1}次测试失败: {str(e)}")
+                latencies.append(None)
         
         return self._calculate_result("IndexStreamTTS", latencies, test_count)
 
@@ -257,7 +384,8 @@ class StreamTTSPerformanceTester:
                 api_url = tts_config["api_url"]
                 access_token = tts_config["access_token"]
                 voice = tts_config["voice"]
-                
+
+                # 统一计时起点：在建立连接前开始计时
                 start_time = time.time()
                 async with aiohttp.ClientSession() as session:
                     params = {
@@ -273,21 +401,23 @@ class StreamTTSPerformanceTester:
                         "Authorization": f"Bearer {access_token}",
                         "Content-Type": "application/json",
                     }
-                    
+
                     async with session.get(api_url, params=params, headers=headers, timeout=10) as resp:
                         if resp.status != 200:
                             raise Exception(f"请求失败: {resp.status}, {await resp.text()}")
-                        
+
                         # 接收第一个数据块
                         async for _ in resp.content.iter_any():
                             latency = time.time() - start_time
                             latencies.append(latency)
+                            print(f"[LinkeraiTTS] 第{i+1}次 首词延迟: {latency:.3f}s")
                             break
                         else:
-                            latencies.append(0)
-                            
+                            latencies.append(None)
+
             except Exception as e:
-                latencies.append(0)
+                print(f"[LinkeraiTTS] 第{i+1}次测试失败: {str(e)}")
+                latencies.append(None)
         
         return self._calculate_result("LinkeraiTTS", latencies, test_count)
     
@@ -305,10 +435,9 @@ class StreamTTSPerformanceTester:
                 api_secret = tts_config["api_secret"]
                 api_url = tts_config.get("api_url", "wss://cbm01.cn-huabei-1.xf-yun.com/v1/private/mcd9m97e6")
                 voice = tts_config.get("voice", "x5_lingxiaoxuan_flow")
-                
                 # 生成认证URL
                 auth_url = self._create_xunfei_auth_url(api_key, api_secret, api_url)
-                
+                start_time = time.time()
                 async with websockets.connect(
                     auth_url,
                     ping_interval=30,
@@ -318,10 +447,7 @@ class StreamTTSPerformanceTester:
                 ) as ws:
                     # 构造请求
                     request = self._build_xunfei_request(app_id, text, voice)
-                    # 发送请求后立即计时，确保准确测量从发送文本到接收首块的时间
                     await ws.send(json.dumps(request))
-                    start_time = time.time()
-                    
                     # 等待第一个音频数据块
                     first_audio_received = False
                     while not first_audio_received:
@@ -329,14 +455,14 @@ class StreamTTSPerformanceTester:
                         data = json.loads(msg)
                         header = data.get("header", {})
                         code = header.get("code")
-                        
+
                         if code != 0:
                             message = header.get("message", "未知错误")
                             raise Exception(f"合成失败: {code} - {message}")
-                        
+
                         payload = data.get("payload", {})
                         audio_payload = payload.get("audio", {})
-                        
+
                         if audio_payload:
                             status = audio_payload.get("status", 0)
                             audio_data = audio_payload.get("audio", "")
@@ -344,10 +470,12 @@ class StreamTTSPerformanceTester:
                                 # 收到第一个音频数据块
                                 latency = time.time() - start_time
                                 latencies.append(latency)
+                                print(f"[讯飞TTS] 第{i+1}次 首词延迟: {latency:.3f}s")
                                 first_audio_received = True
                                 break
             except Exception as e:
-                latencies.append(0)
+                print(f"[讯飞TTS] 第{i+1}次测试失败: {str(e)}")
+                latencies.append(None)
         
         return self._calculate_result("讯飞TTS", latencies, test_count)
     
@@ -431,8 +559,9 @@ class StreamTTSPerformanceTester:
 
 
     def _calculate_result(self, service_name, latencies, test_count):
-        """计算测试结果"""
-        valid_latencies = [l for l in latencies if l > 0]
+        """计算测试结果（正确处理None值，剔除失败测试）"""
+        # 剔除失败的测试（None值和<=0延迟），只统计有效延迟
+        valid_latencies = [l for l in latencies if l is not None and l > 0]
         if valid_latencies:
             avg_latency = sum(valid_latencies) / len(valid_latencies)
             status = f"成功（{len(valid_latencies)}/{test_count}次有效）"
@@ -466,9 +595,10 @@ class StreamTTSPerformanceTester:
         ]
 
         print(tabulate(table_data, headers=["TTS服务", "首词延迟(秒)", "状态"], tablefmt="grid"))
-        print("\n测试说明：测量从发送请求到接收第一个音频数据块的时间，取多次测试平均值")
+        print("\n测试说明：测量从建立连接到接收第一个音频数据块的时间（包含握手、鉴权、发送文本），取多次测试平均值")
+        print("- 计时起点: 建立WebSocket/HTTP连接前（统一包含网络建连、握手、发送文本全流程）")
         print("- 超时控制: 单个请求最大等待时间为10秒")
-        print("- 错误处理: 无法连接和超时的列为网络错误")
+        print("- 错误处理: 失败的测试不计入平均值，只统计成功测试的延迟")
         print("- 排序规则: 按平均耗时从快到慢排序")
 
 
@@ -494,7 +624,12 @@ class StreamTTSPerformanceTester:
         # 测试阿里云TTS
         result = await self.test_aliyun_tts(test_text, test_count)
         self.results.append(result)
-        
+
+        # 测试阿里云百炼TTS
+        if self.config.get("TTS", {}).get("AliBLTTS"):
+            result = await self.test_alibl_tts(test_text, test_count)
+            self.results.append(result)
+
         # 测试火山引擎TTS
         result = await self.test_doubao_tts(test_text, test_count)
         self.results.append(result)

main/xiaozhi-server/requirements.txt

@@ -13,7 +13,7 @@ pydub==0.25.1
 funasr==1.2.7
 openai==2.8.1
 google-generativeai==0.8.5
-edge_tts==7.2.3
+edge_tts==7.2.6
 httpx==0.28.1
 aiohttp==3.13.2
 aiohttp_cors==0.8.1

main/xiaozhi-server/test/js/core/audio/recorder.js

@@ -240,6 +240,24 @@ export class AudioRecorder {
         if (this.isRecording) return false;
 
         try {
+            // 检查是否有WebSocketHandler实例
+            const { getWebSocketHandler } = await import('../network/websocket.js');
+            const wsHandler = getWebSocketHandler();
+
+            // 如果机器正在说话，发送打断消息
+            if (wsHandler && wsHandler.isRemoteSpeaking && wsHandler.currentSessionId) {
+                const abortMessage = {
+                    session_id: wsHandler.currentSessionId,
+                    type: 'abort',
+                    reason: 'wake_word_detected'
+                };
+
+                if (this.websocket && this.websocket.readyState === WebSocket.OPEN) {
+                    this.websocket.send(JSON.stringify(abortMessage));
+                    log('发送打断消息', 'info');
+                }
+            }
+
             if (!this.initEncoder()) {
                 log('无法启动录音: Opus编码器初始化失败', 'error');
                 return false;