Merge pull request #1642 from xinnan-tech/py_tts_listen

update:更新版本号

README.md

@@ -170,8 +170,8 @@
 #### 🚀 部署方式选择
 | 部署方式 | 特点 | 适用场景 | 部署文档 | 配置要求 | 视频教程 | 
 |---------|------|---------|---------|---------|---------|
-| **最简化安装** | 智能对话、IOT功能，数据存储在配置文件 | 低配置环境，无需数据库 | [①Docker版](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②源码部署](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E5%8F%AA%E8%BF%90%E8%A1%8Cserver)| 如果使用`FunASR`要2核4G，如果全API，要2核2G | - | 
+| **最简化安装** | 智能对话、IOT、MCP、视觉感知，数据存储在配置文件 | 低配置环境，无需数据库 | [①Docker版](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②源码部署](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E5%8F%AA%E8%BF%90%E8%A1%8Cserver)| 如果使用`FunASR`要2核4G，如果全API，要2核2G | - | 
-| **全模块安装** | 智能对话、IOT、OTA、智控台，数据存储在数据库 | 完整功能体验 |[①Docker版](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [②源码部署](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [③源码部署自动更新教程](./docs/dev-ops-integration.md) | 如果使用`FunASR`要4核8G，如果全API，要2核4G| [本地源码启动视频教程](https://www.bilibili.com/video/BV1wBJhz4Ewe) | 
+| **全模块安装** | 智能对话、IOT、MCP、视觉感知、OTA、智控台，数据存储在数据库 | 完整功能体验 |[①Docker版](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [②源码部署](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [③源码部署自动更新教程](./docs/dev-ops-integration.md) | 如果使用`FunASR`要4核8G，如果全API，要2核4G| [本地源码启动视频教程](https://www.bilibili.com/video/BV1wBJhz4Ewe) | 
 
 
 > 💡 提示：以下是按最新代码部署后的测试平台，有需要可烧录测试，并发为6个，每天会清空数据
@@ -186,27 +186,31 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/
 
 #### 🚩 配置说明和推荐
 > [!Note]
-> 本项目默认的配置是`入门全免费`设置，如果想效果更优，推荐使用`流式配置`。
+> 本项目提供两种配置方案：
 > 
-> 本项目自`0.5.2`版本，已支持使用流式配置，相比`0.5`版本以前，响应速度提升约`2.5秒`
+> 1. `入门全免费`配置：适合个人家庭使用，所有组件均采用免费方案，无需额外付费。
+> 
+> 2. `流式配置`：适合演示、培训、超过2个并发等场景，采用流式处理技术，响应速度更快，体验更佳。
+> 
+> 自`0.5.2`版本起，项目支持流式配置，相比早期版本，响应速度提升约`2.5秒`，显著改善用户体验。
 
 | 模块名称 | 入门全免费设置 | 流式配置 |
 |:---:|:---:|:---:|
-| ASR(语音识别) | FunASR(本地) | 👍DoubaoStreamASR(火山流式语音识别) |
+| ASR(语音识别) | FunASR(本地) | 👍FunASRServer 或 👍DoubaoStreamASR |
 | LLM(大模型) | ChatGLMLLM(智谱glm-4-flash) | 👍DoubaoLLM(火山doubao-1-5-pro-32k-250115) |
 | VLLM(视觉大模型) | ChatGLMVLLM(智谱glm-4v-flash) | 👍QwenVLVLLM(千问qwen2.5-vl-3b-instructh) |
-| TTS(语音合成) | EdgeTTS(微软语音) | 👍HuoshanDoubleStreamTTS(火山双流式语音合成) |
+| TTS(语音合成) | ✅LinkeraiTTS(灵犀流式) | 👍HuoshanDoubleStreamTTS(火山双流式语音合成) |
-| Intent(意图识别) | function_call(函数调用) | ✅function_call(函数调用) |
+| Intent(意图识别) | function_call(函数调用) | function_call(函数调用) |
-| Memory(记忆功能) | mem_local_short(本地短期记忆） | ✅mem_local_short（本地短期记忆） |
+| Memory(记忆功能) | mem_local_short(本地短期记忆） | mem_local_short（本地短期记忆） |
 
 #### 🔧 测试工具
 本项目提供以下测试工具，帮助您验证系统和选择合适的模型：
 
 | 工具名称 | 位置 | 使用方法 | 功能说明 |
 |:---:|:---|:---:|:---:|
-| 音频交互测试工具 | 位于`main/xiaozhi-server/test/test_page.html` | 使用谷歌浏览器直接打开 | 测试音频播放和接收功能，验证Python端音频处理是否正常 |
+| 音频交互测试工具 | main》xiaozhi-server》test》test_page.html | 使用谷歌浏览器直接打开 | 测试音频播放和接收功能，验证Python端音频处理是否正常 |
-| 模型响应测试工具1 | 位于`main/xiaozhi-server/performance_tester.py` | 执行 `python performance_tester.py` | 测试ASR(语音识别)、LLM(大模型)、TTS(语音合成)三个核心模块的响应速度 |
+| 模型响应测试工具1 | main》xiaozhi-server》performance_tester.py | 执行 `python performance_tester.py` | 测试ASR(语音识别)、LLM(大模型)、TTS(语音合成)三个核心模块的响应速度 |
-| 模型响应测试工具2 | 位于`main/xiaozhi-server/performance_tester_vllm.py` | 执行 `python performance_tester_vllm.py` | 测试VLLM(视觉模型)的响应速度 |
+| 模型响应测试工具2 | main》xiaozhi-server》performance_tester_vllm.py | 执行 `python performance_tester_vllm.py` | 测试VLLM(视觉模型)的响应速度 |
 
 > 💡 提示：测试模型速度时，只会测试配置了密钥的模型。
 
@@ -277,7 +281,7 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/
 
 | 使用方式 | 支持平台 | 免费平台 |
 |:---:|:---:|:---:|
-| 接口调用 | EdgeTTS、火山引擎豆包TTS、腾讯云、阿里云TTS、CosyVoiceSiliconflow、TTS302AI、CozeCnTTS、GizwitsTTS、ACGNTTS、OpenAITTS | EdgeTTS、CosyVoiceSiliconflow(部分) |
+| 接口调用 | EdgeTTS、火山引擎豆包TTS、腾讯云、阿里云TTS、CosyVoiceSiliconflow、TTS302AI、CozeCnTTS、GizwitsTTS、ACGNTTS、OpenAITTS、灵犀流式TTS | 灵犀流式TTS、EdgeTTS、CosyVoiceSiliconflow(部分) |
 | 本地服务 | FishSpeech、GPT_SOVITS_V2、GPT_SOVITS_V3、MinimaxTTS | FishSpeech、GPT_SOVITS_V2、GPT_SOVITS_V3、MinimaxTTS |
 
 ---

docs/Deployment.md

@@ -269,7 +269,7 @@ LLM:
 如果你能看到，类似以下日志,则是本项目服务启动成功的标志。
 
 ```
-250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-OTA接口是           http://192.168.4.123:8002/xiaozhi/ota/
+250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-OTA接口是           http://192.168.4.123:8003/xiaozhi/ota/
 250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-Websocket地址是     ws://192.168.4.123:8000/xiaozhi/v1/
 250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-=======上面的地址是websocket协议地址，请勿用浏览器访问=======
 250427 13:04:20[0.3.11_SiFuChTTnofu][__main__]-INFO-如想测试websocket请用谷歌浏览器打开test目录下的test_page.html
@@ -280,7 +280,7 @@ LLM:
 但是如果你用docker部署，那么你的日志里给出的接口地址信息就不是真实的接口地址。
 
 最正确的方法，是根据电脑的局域网IP来确定你的接口地址。
-如果你的电脑的局域网IP比如是`192.168.1.25`，那么你的接口地址就是：`ws://192.168.1.25:8000/xiaozhi/v1/`，对应的OTA地址就是：`http://192.168.1.25:8002/xiaozhi/ota/`。
+如果你的电脑的局域网IP比如是`192.168.1.25`，那么你的接口地址就是：`ws://192.168.1.25:8000/xiaozhi/v1/`，对应的OTA地址就是：`http://192.168.1.25:8003/xiaozhi/ota/`。
 
 这个信息很有用的，后面`编译esp32固件`需要用到。
 

docs/firmware-build.md

@@ -9,7 +9,7 @@
 ### 如果你用的是简单Server部署
 此刻，请你用浏览器打开你的ota地址，例如我的ota地址
 ```
-http://192.168.1.25:8002/xiaozhi/ota/
+http://192.168.1.25:8003/xiaozhi/ota/
 ```
 如果显示“OTA接口运行正常，向设备发送的websocket地址是：ws://xxx:8000/xiaozhi/v1/
 

docs/homeassistant-integration.md

@@ -89,55 +89,25 @@ http://homeassistant.local:8123
 公司,台灯,switch.iot_cn_831898993_socn1_on_p_2_1;
 ```
 
-这段字符，我们成为“设备清单字符”需要保存好，等一下有用。
+这段字符，我们称为“设备清单字符”需要保存好，等一下有用。
-
 
 #### 2. 登录`智控台`
 
-使用管理员账号，登录`智控台`。点击顶部菜单`参数管理`，搜索`plugins.home_assistant.`，会有三条结果出来
+![image-20250504051716417](images/image-ha-integration-06.png)
 
-编辑`plugins.home_assistant.devices`，把刚才整理的设备清单字符粘贴进去。
+使用管理员账号，登录`智控台`。在`智能体管理`，找到你的智能体，再点击`配置角色`。
 
+将意图识别设置成`函数调用`或`LLM意图识别`。这时你会看到右侧有一个`编辑功能`。点击`编辑功能`按钮，会弹出`功能管理`的框。
 
-编辑`plugins.home_assistant.base_url`，把你部署的`HomeAssistant`接口地址粘贴进去，我粘贴进去的地址是这样的
+在`功能管理`的框里，你需要勾选`HomeAssistant设备状态查询`和`HomeAssistant设备状态修改`。
 
-```
+勾选后，在`已选功能`点击`HomeAssistant设备状态查询`，然后在`参数配置`里配置你的`HomeAssistant`地址、密钥、设备清单字符。
-http://192.168.4.7:8123
-```
 
-编辑`plugins.home_assistant.api_key`，把你从`HomeAssistant`复制过来的密钥，粘贴进去
+编辑好后，点击`保存配置`，这时`功能管理`的框会隐藏，这时你再点击保存智能体配置。
 
+保存成功后，即可唤醒设备操作。
 
-#### 3. 设置`意图识别`函数
+#### 3. 唤醒设别进行控制
-
-在智控台，点击顶部菜单“模型配置”，在左侧栏，找到“意图识别”，找到id为`Intent_function_call`的意图，点击编辑
-
-然后在弹框中，在原来的基础上追加两个函数：“hass_get_state”和“hass_set_state”
-
-修改前
-```
-change_role;get_weather;get_news;play_music
-```
-
-修改后
-
-```
-change_role;get_weather;get_news;play_music;hass_get_state;hass_set_state
-```
-
-#### 4. 手动重启xiaozhi-server
-
-重启xiaozhi-server程序
-
-
-#### 5. 确认角色配置是否设置了函数意图识别
-
-在智控台，点击顶部菜单“智能体管理”，找到设备所在的智能体，点击“配置角色”
-
-确认意图识别(Intent)，是否选择“函数调用意图识别”
-
-
-#### 6. 唤醒设别进行控制
 
 尝试和esp32说，“打开XXX灯”
 

main/README.md

@@ -1,7 +1,70 @@
-本文档是开发类文档，如需部署小智服务端，[点击这里查看部署教程](../README.md#%E9%83%A8%E7%BD%B2%E6%96%87%E6%A1%A3)
+# 技术文档：`xiaozhi-esp32-server`
 
-# 项目目录介绍
+**目录：**
-如果你是一名软件开发者，这里有一份[《致开发者的公开信》](../docs/contributor_open_letter.md)，欢迎归队！
+
+1.  [引言](#1-引言)
+2.  [整体架构](#2-整体架构)
+3.  [核心组件深度剖析](#3-核心组件深度剖析)
+    *   [3.1. `xiaozhi-server` (核心AI引擎 - Python实现)](#31-xiaozhi-server-核心ai引擎---python实现)
+    *   [3.2. `manager-api` (管理后端 - Java Spring Boot实现)](#32-manager-api-管理后端---java-spring-boot实现)
+    *   [3.3. `manager-web` (Web管理前端 - Vue.js实现)](#33-manager-web-web管理前端---vuejs实现)
+4.  [数据流与交互机制](#4-数据流与交互机制)
+5.  [核心功能概要](#5-核心功能概要)
+6.  [部署与配置概述](#6-部署与配置概述)
+---
+
+## 1. 引言
+
+`xiaozhi-esp32-server` 项目是一个专为基于ESP32的智能硬件提供支持的**综合性后端系统**。其核心目标是使开发人员能够快速构建一个强大的服务器基础设施，该设施不仅能够理解自然语言指令，还能与多种AI服务（用于语音识别、自然语言理解及语音合成）进行高效交互、管理物联网（IoT）设备，并提供一个基于Web的用户界面以进行系统配置和管理。通过将多种尖端技术整合到一个高内聚且可扩展的平台中，本项目旨在简化和加速可定制化语音助手及智能控制系统的开发进程。它不仅仅是一个简单的服务器，更是一个连接硬件、AI能力与用户管理的桥梁。
+
+---
+
+## 2. 整体架构
+
+`xiaozhi-esp32-server` 系统采用了一种**分布式、多组件协作**的架构设计，确保了系统的模块化、可维护性和可扩展性。各个核心组件各司其职，协同工作。主要组件包括：
+
+1.  **ESP32 硬件 (客户端设备):**
+    这是终端用户直接与之交互的物理智能硬件设备。其主要职责包括：
+    *   捕捉用户的语音指令。
+    *   将捕捉到的原始音频数据安全地发送至 `xiaozhi-server` 进行处理。
+    *   接收来自 `xiaozhi-server` 合成的语音回复，并通过扬声器播放给用户。
+    *   根据从 `xiaozhi-server` 收到的指令，控制与之连接的其他外围设备或IoT设备（例如智能灯泡、传感器等）。
+
+2.  **`xiaozhi-server` (核心AI引擎 - Python实现):**
+    这个基于Python的服务器是整个系统的“大脑”，负责处理所有语音相关的逻辑和AI交互。其关键职责细化如下：
+    *   通过WebSocket协议与ESP32设备建立**稳定、低延迟的实时双向通信链路**。
+    *   接收来自ESP32的音频流，并利用语音活动检测（VAD）技术精确切分有效的语音片段。
+    *   集成并调用自动语音识别（ASR）服务（可配置本地或云端），将语音片段转换为文本。
+    *   通过与大型语言模型（LLM）的交互来解析用户意图、生成智能回复，并支持复杂的自然语言理解任务。
+    *   管理多轮对话中的上下文信息和用户记忆，以提供连贯的交互体验。
+    *   调用文本转语音（TTS）服务，将LLM生成的文本回复合成为自然流畅的语音。
+    *   通过一个灵活的**插件系统**执行自定义命令，包括对IoT设备的控制逻辑。
+    *   从 `manager-api` 服务获取其详细的运行时操作配置。
+
+3.  **`manager-api` (管理后端 - Java实现):**
+    这是一个基于Java Spring Boot框架构建的应用程序，它为整个系统的管理和配置提供了一套安全的RESTful API。它不仅是 `manager-web` 控制台的后端支撑，也是 `xiaozhi-server` 的配置数据来源。其核心功能包括：
+    *   为Web控制台提供用户认证（登录、权限验证）和用户账户管理功能。
+    *   ESP32设备的注册、信息管理以及设备特定配置的维护。
+    *   在**MySQL数据库**中持久化存储系统配置，例如用户选择的AI服务提供商、API密钥、设备参数、插件设置等。
+    *   提供特定的API端点，供 `xiaozhi-server` 拉取其所需的最新配置。
+    *   管理TTS音色选项、处理OTA（Over-The-Air）固件更新流程及相关元数据。
+    *   利用 **Redis** 作为高速缓存，存储热点数据（如会话信息、频繁访问的配置），以提升API响应速度和系统整体性能。
+
+4.  **`manager-web` (Web控制面板 - Vue.js实现):**
+    这是一个基于Vue.js构建的单页应用（SPA），为系统管理员提供了一个图形化、用户友好的操作界面。其主要能力包括：
+    *   便捷地配置 `xiaozhi-server` 所使用的各项AI服务（如ASR、LLM、TTS的提供商切换、参数调整）。
+    *   管理平台用户账户、角色分配及权限控制。
+    *   管理已注册的ESP32设备及其相关设置。
+    *   （潜在功能）监控系统运行状态、查看日志、进行故障排查等。
+    *   与 `manager-api` 提供的所有后端管理功能进行全面的交互。
+
+**高层交互流程概述:**
+
+*   **语音交互主线:** **ESP32设备**捕捉到用户语音后，通过**WebSocket**将音频数据实时传输给**`xiaozhi-server`**。`xiaozhi-server`完成一系列AI处理（VAD、ASR、LLM交互、TTS）后，再通过WebSocket将合成的语音回复发送回ESP32设备进行播放。所有与语音直接相关的实时交互均在此链路完成。
+*   **管理配置主线:** 管理员通过浏览器访问**`manager-web`**控制台。`manager-web`通过调用**`manager-api`**提供的**RESTful HTTP接口**来执行各种管理操作（如修改配置、管理用户或设备）。数据以JSON格式在两者间传递。
+*   **配置同步:** **`xiaozhi-server`**在启动或特定更新机制触发时，会主动通过HTTP请求从**`manager-api`**拉取其最新的操作配置。这确保了管理员在Web界面上所做的配置更改能够及时有效地应用到核心AI引擎的运行中。
+
+这种**前后端分离、核心服务与管理服务分离**的架构设计，使得 `xiaozhi-server`能够专注于高效的实时AI处理任务，而 `manager-api` 和 `manager-web` 则共同提供了一个功能强大且易于使用的管理和配置平台。各组件职责清晰，有利于独立开发、测试、部署和扩展。
 
 ```
 xiaozhi-esp32-server
@@ -10,10 +73,397 @@ xiaozhi-esp32-server
   ├─ manager-api 8002 端口 Java语言开发 负责提供控制台的api
 ```
 
-# xiaozhi-server 和ESP32通讯协议
+---
 
-https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh
+## 3. 核心组件深度剖析
 
-# manager-web 、manager-api接口协议
+### 3.1. `xiaozhi-server` (核心AI引擎 - Python实现)
 
-https://2662r3426b.vicp.fun/xiaozhi/doc.html
+`xiaozhi-server` 作为系统的智能核心，全权负责处理语音交互、对接各类AI服务以及管理与ESP32设备间的通信。其设计目标是实现高效、灵活且可扩展的语音AI处理能力。
+
+*   **核心目标:**
+    *   为ESP32设备提供实时的语音指令处理服务。
+    *   深度集成各类AI服务，包括：自动语音识别 (ASR)、大型语言模型 (LLM) 进行自然语言理解 (NLU)、文本转语音 (TTS)、语音活动检测 (VAD)、意图识别 (Intent Recognition) 及对话记忆 (Memory)。
+    *   精细管理用户与设备间的对话流程及上下文状态。
+    *   基于用户指令，通过插件化机制执行自定义函数及控制物联网 (IoT) 设备。
+    *   支持通过 `manager-api`进行动态配置加载与更新。
+
+*   **核心技术栈:**
+    *   **Python 3:** 作为主要编程语言，Python以其丰富的AI/ML生态库和快速开发特性被选用。
+    *   **Asyncio:** Python的异步编程框架，是`xiaozhi-server`高性能的关键。它被广泛用于高效处理来自大量ESP32设备的并发WebSocket连接，以及执行与外部AI服务API通信时的非阻塞I/O操作，确保服务器在高并发下的响应能力。
+    *   **`websockets` 库:** 提供WebSocket服务器的具体实现，支持与ESP32客户端进行全双工实时通信。
+    *   **HTTP客户端 (如 `aiohttp`, `httpx`):** 用于异步执行HTTP请求，主要目的是从`manager-api`获取配置信息，以及与云端AI服务的API进行交互。
+    *   **YAML (通常通过 PyYAML 库):** 用于解析本地的 `config.yaml` 配置文件。
+    *   **FFmpeg (外部依赖):** 在 `app.py` 启动时会进行检查 (`check_ffmpeg_installed()`)。FFmpeg通常用于音频处理和格式转换，例如，确保音频数据符合特定AI服务的要求或进行内部处理。
+
+*   **关键实现细节:**
+
+    1.  **AI服务提供者模式 (Provider Pattern - `core/providers/`):**
+        *   **设计思想:** 这是`xiaozhi-server`集成不同AI服务的核心设计模式，极大地增强了系统的灵活性和可扩展性。针对每一种AI服务类型（ASR, TTS, LLM, VAD, Intent, Memory, VLLM），都在其对应子目录下定义了一个抽象基类 (ABC, Abstract Base Class)，例如 `core/providers/asr/base.py`。这个基类规定了该类型服务必须实现的通用接口方法（如ASR的 `async def transcribe(self, audio_chunk: bytes) -> str: pass`）。
+        *   **具体实现:** 各种具体的AI服务提供商或本地模型的实现，则以独立的Python类形式存在（例如 `core/providers/asr/fun_local.py` 实现了本地FunASR的逻辑，`core/providers/llm/openai.py` 实现了与OpenAI GPT模型的对接）。这些具体类继承自相应的抽象基类，并实现其定义的接口。部分提供者还使用DTOs (Data Transfer Objects, 存在于各自的 `dto/` 目录) 来结构化与外部服务交换的数据。
+        *   **优势:** 使得核心业务逻辑能够以统一的方式调用不同的AI服务，而无需关心其底层具体实现。用户可以通过配置文件轻松切换AI服务后端。添加对新AI服务的支持也变得相对简单，只需实现对应的Provider接口。
+        *   **动态加载与初始化:** `core/utils/modules_initialize.py` 脚本扮演了工厂的角色。它在服务器启动时，或在接收到配置更新指令时，会根据配置文件中 `selected_module` 及各项服务的具体provider设置，动态地导入并实例化相应的Provider类。
+
+    2.  **WebSocket通信与连接处理 (`app.py`, `core/websocket_server.py`, `core/connection.py`):**
+        *   **服务器启动与入口 (`app.py`):**
+            *   `app.py` 作为主入口，负责初始化应用环境（如检查FFmpeg、加载配置、设置日志）。
+            *   它会生成或加载一个 `auth_key` (JWT密钥)，用于保护特定的HTTP接口（如视觉分析接口 `/mcp/vision/explain`）。若配置中 `manager-api.secret` 为空，则会生成一个UUID作为 `auth_key`。
+            *   使用 `asyncio.create_task()` 并发启动 `WebSocketServer` (监听如 `ws://0.0.0.0:8000/xiaozhi/v1/`) 和 `SimpleHttpServer` (监听如 `http://0.0.0.0:8003/xiaozhi/ota/`)。
+            *   包含一个 `monitor_stdin()` 协程，用于在某些环境下保持应用存活或处理终端输入。
+        *   **WebSocket服务器核心 (`core/websocket_server.py`):**
+            *   `WebSocketServer` 类使用 `websockets` 库监听来自ESP32设备的连接请求。
+            *   对于每一个成功的WebSocket连接，它都会创建一个**独立的 `ConnectionHandler` 实例** (推测定义于 `core/connection.py`)。这种每个连接一个处理程序实例的设计模式，是实现多设备状态隔离和并发处理的关键，确保每个设备的对话流程和上下文信息互不干扰。
+            *   该服务器还提供一个 `_http_response` 方法，允许在同一端口上对非WebSocket升级的HTTP GET请求做出简单响应（例如返回 "Server is running"），便于进行健康检查。
+        *   **动态配置更新:** `WebSocketServer` 包含一个 `update_config()` 异步方法。此方法使用 `config_lock` (一个 `asyncio.Lock`) 保证配置更新的原子性。它调用 `get_config_from_api()` (可能在 `config_loader.py` 中实现，通过 `manage_api_client.py` 与 `manager-api` 通信) 来获取新的配置。通过 `check_vad_update()` 和 `check_asr_update()` 等辅助函数判断是否需要重新初始化特定的AI模块，避免不必要的开销。更新后的配置会用于重新调用 `initialize_modules()`，从而实现AI服务提供者的热切换。
+
+    3.  **消息处理与对话流程控制 (`core/handle/` 和 `ConnectionHandler`):**
+        *   `ConnectionHandler` (推测) 作为每个连接的控制中心，负责接收来自ESP32的消息，并根据消息类型或当前对话状态，将其分发给 `core/handle/` 目录下的相应处理模块。这种模块化的处理器设计使得 `ConnectionHandler` 逻辑更清晰，易于扩展。
+        *   **主要处理模块及其职责:**
+            *   `helloHandle.py`: 处理与ESP32初次连接时的握手协议、设备认证或初始化信息交换。
+            *   `receiveAudioHandle.py`: 接收音频流数据，调用VAD Provider进行语音活动检测，并将有效的音频片段传递给ASR Provider进行识别。
+            *   `textHandle.py` / `intentHandler.py`: 获取ASR识别出的文本后，与Intent Provider (可能利用LLM进行意图识别) 和LLM Provider交互，以理解用户意图并生成初步回复或决策。
+            *   `functionHandler.py`: 当LLM的响应包含执行特定“函数调用”的指令时，此模块负责从插件注册表中查找并执行对应的插件函数。
+            *   `sendAudioHandle.py`: 将LLM最终生成的文本回复交给TTS Provider合成语音，并将音频流通过WebSocket发送回ESP32。
+            *   `abortHandle.py`: 处理来自ESP32的中断请求，例如停止当前的TTS播报。
+            *   `iotHandle.py`, `mcpHandle.py`: 处理与IoT设备控制相关的特定指令或更复杂的模块通信协议 (MCP)。
+
+    4.  **插件化功能扩展系统 (`plugins_func/`):**
+        *   **设计目的:** 提供一种标准化的方式来扩展语音助手的功能和“技能”，而无需修改核心代码。
+        *   **实现机制:**
+            *   各个具体功能以独立的Python脚本形式存在于 `plugins_func/functions/` 目录中（例如 `get_weather.py`, `hass_set_state.py` 用于Home Assistant集成）。
+            *   `loadplugins.py` 在服务器启动时负责扫描并加载这些插件模块。
+            *   `register.py` (或插件模块内部的特定装饰器/函数) 可能用于定义每个插件函数的元数据，包括：
+                *   **函数名称 (Function Name):** LLM调用时使用的标识符。
+                *   **功能描述 (Description):** 供LLM理解此函数的作用。
+                *   **参数模式 (Parameters Schema):** 通常是一个JSON Schema，详细定义了函数所需的参数、类型、是否必需以及描述。这是LLM能够正确生成函数调用参数的关键。
+        *   **执行流程:** 当LLM在其思考过程中决定需要调用某个外部工具或函数来获取信息或执行操作时，它会依据预先提供的函数模式生成一个结构化的“函数调用”请求。`xiaozhi-server`中的`functionHandler.py`捕获此请求，从插件注册表中找到对应的Python函数并执行，然后将执行结果返回给LLM，LLM再基于此结果生成最终给用户的自然语言回复。
+
+    5.  **配置管理 (`config/`):**
+        *   **加载机制:** `config_loader.py` (通过 `settings.py` 被调用) 负责从根目录的 `config.yaml` 文件加载基础配置。
+        *   **远程配置与合并:** 通过 `manage_api_client.py` (使用如`aiohttp`的库与`manager-api`通信) 可以从`manager-api`服务拉取配置。远程配置通常会覆盖本地 `config.yaml` 中的同名设置，从而实现通过Web界面动态调整服务器行为。
+        *   **日志系统:** `logger.py` 初始化应用日志系统（可能使用 `loguru` 或对标准 `logging` 模块进行封装，支持通过 `logger.bind(tag=TAG)` 添加标签，便于追踪和过滤）。
+        *   **静态资源:** `config/assets/` 目录下存放了用于系统提示音的静态音频文件（如设备绑定提示音 `bind_code.wav`、错误提示音等）。
+
+    6.  **辅助HTTP服务 (`core/http_server.py`):**
+        *   与WebSocket服务并行运行一个简单的HTTP服务器，用于处理特定的HTTP请求。最主要的功能是为ESP32设备提供OTA (Over-The-Air) 固件更新的下载服务 (通过 `/xiaozhi/ota/` 端点)。此外，也可能承载其他如 `/mcp/vision/explain` (视觉分析) 等工具性HTTP接口。
+
+综上所述，`xiaozhi-server` 是一个采用现代Python异步编程模型构建的、高度模块化、配置驱动的AI应用服务器。其精心设计的Provider模式和插件架构赋予了它强大的适应性和扩展性，能够灵活接入不同的AI能力并支持日益增长的功能需求。
+
+---
+
+### 3.2. `manager-api` (管理后端 - Java Spring Boot实现)
+
+`manager-api` 组件是使用Java和Spring Boot框架构建的强大后端服务，作为整个`xiaozhi-esp32-server`生态系统的中央行政管理和配置中枢。
+
+*   **核心目标:**
+    *   为`manager-web`（Vue.js前端）提供一套安全、稳定、符合RESTful规范的API接口，使得管理员能够便捷地管理用户、设备、系统配置及其他相关资源。
+    *   充当`xiaozhi-server`（Python核心AI引擎）的集中化配置数据提供者，允许`xiaozhi-server`实例在启动或运行时获取其最新的操作参数。
+    *   持久化存储关键数据，例如：用户账户信息、设备注册详情、AI服务提供商配置（包括API密钥、选定的服务模型等）、TTS音色参数，以及OTA固件版本信息等。
+
+*   **核心技术栈:**
+    *   **Java 21:** 项目采用的JDK版本，确保了对现代Java特性的支持。
+    *   **Spring Boot 3:** 作为核心开发框架，极大地简化了独立、生产级别的Spring应用的创建和部署。它提供了自动配置、内嵌Web服务器（默认为Tomcat）、依赖管理等关键功能。
+    *   **Spring MVC:** Spring框架中用于构建Web应用和RESTful API的模块。
+    *   **MyBatis-Plus:** 一个对MyBatis进行功能增强的ORM（对象关系映射）框架。它简化了数据库操作，提供了强大的CRUD（增删改查）功能、条件构造器、代码生成器等，并能很好地与Spring Boot集成。
+    *   **MySQL:** 作为主要的后端关系型数据库，用于存储所有需要持久化的管理数据和配置信息。
+    *   **Druid (Alibaba Druid):** 一个功能强大的JDBC连接池实现，提供了丰富的监控功能和优秀的性能，用于高效管理数据库连接。
+    *   **Redis (通过 Spring Data Redis):** 一个高性能的内存数据结构存储，常用于实现数据缓存（例如缓存热点配置数据、用户会话信息），以显著提升API的响应速度。
+    *   **Apache Shiro:** 一个成熟且易用的Java安全框架，负责处理应用的认证（用户身份验证）和授权（API访问权限控制）需求。
+    *   **Liquibase:** 一个用于跟踪、管理和应用数据库 schéma（模式）变更的开源工具。它允许开发者以数据库无关的方式定义和版本化数据库结构变更。
+    *   **Knife4j:** 一个集成了Swagger并增强了UI的API文档生成工具，专为Java MVC框架（尤其是Spring Boot）设计。它能生成美观且易于交互的API文档界面（通常通过 `/xiaozhi/doc.html` 访问）。
+    *   **Maven:** 用于项目的构建自动化和依赖项管理。
+    *   **Lombok:** 一个Java库，通过注解自动生成构造函数、getter/setter、equals/hashCode、toString等样板代码，减少冗余。
+    *   **HuTool / Google Guava:** 提供大量实用工具类，简化常见编程任务。
+    *   **Aliyun Dysmsapi:** 阿里云短信服务SDK，用于集成发送短信功能（如验证码、通知）。
+
+*   **关键实现细节:**
+
+    1.  **模块化项目结构 (`modules/` 包):**
+        *   `manager-api` 的核心业务逻辑被清晰地划分到 `src/main/java/xiaozhi/modules/` 目录下的不同模块中。这种按功能领域划分模块的方式（例如 `sys` 负责系统管理，`agent` 负责智能体配置，`device` 负责设备管理，`config` 负责为`xiaozhi-server`提供配置，`security` 负责安全，`timbre` 负责音色管理，`ota` 负责固件升级）极大地提高了代码的可维护性和可扩展性。
+        *   **各模块内部结构:** 每个业务模块通常遵循经典的三层架构或其变体：
+            *   **Controller (控制层):** 位于 `xiaozhi.modules.[模块名].controller`。
+            *   **Service (服务层):** 位于 `xiaozhi.modules.[模块名].service`。
+            *   **DAO/Mapper (数据访问层):** 位于 `xiaozhi.modules.[模块名].dao`。
+            *   **Entity (实体类):** 位于 `xiaozhi.modules.[模块名].entity`。
+            *   **DTO (数据传输对象):** 位于 `xiaozhi.modules.[模块名].dto`。
+
+    2.  **分层架构实现:**
+        *   **Controller层 (`@RestController`):** 这些类使用Spring MVC注解（如 `@GetMapping`, `@PostMapping` 等）来定义API的端点(endpoints)。它们负责接收HTTP请求，将请求体中的JSON数据反序列化为DTO对象，调用相应的Service层方法处理业务逻辑，最后将Service层的返回结果序列化为JSON并作为HTTP响应返回给客户端。
+        *   **Service层 (`@Service`):** 这些类（通常是接口及其实现类的组合）封装了核心的业务规则和操作流程。它们可能会调用一个或多个DAO/Mapper对象来与数据库交互，并常常使用 `@Transactional` 注解来管理数据库事务的原子性。
+        *   **Data Access (DAO/Mapper) 层 (MyBatis-Plus Mappers):** 这些是Java接口，继承自MyBatis-Plus提供的 `BaseMapper<Entity>` 接口。MyBatis-Plus会为这些接口自动提供标准的CRUD方法。对于更复杂的数据库查询，开发者可以通过在Mapper接口中定义方法并使用注解（如 `@Select`, `@Update`）或编写对应的XML映射文件来实现。例如，`UserMapper.selectById(userId)` 会被MyBatis-Plus自动实现。
+        *   **Entity层 (`@TableName`, `@TableId` 等MyBatis-Plus注解):** 这些POJO（Plain Old Java Objects）类直接映射到数据库中的表结构。Lombok的 `@Data` 注解常用于自动生成getter/setter等。
+        *   **DTO层:** 用于在各层之间，特别是Controller层与Service层之间，以及API的请求/响应体中传递数据。使用DTO有助于解耦API接口的数据结构与数据库实体的数据结构，使API更稳定。
+
+    3.  **通用功能与配置 (`common/` 包):**
+        *   `src/main/java/xiaozhi/common/` 包提供了一系列跨模块共享的通用组件和配置：
+            *   **基类:** 如 `BaseDao`, `BaseEntity`, `BaseService`, `CrudService`，为各模块的相应组件提供通用的属性或方法。
+            *   **全局配置:** 包括 `MybatisPlusConfig` (MyBatis-Plus的配置，如分页插件、数据权限插件等)、`RedisConfig` (Redis连接及序列化配置)、`SwaggerConfig` (Knife4j的配置)、`AsyncConfig` (异步任务执行器配置)。
+            *   **自定义注解:** 例如 `@LogOperation` 用于通过AOP记录操作日志，`@DataFilter` 可能用于实现数据范围过滤。
+            *   **AOP切面:** 如 `RedisAspect` 可能用于实现方法级别的缓存逻辑。
+            *   **全局异常处理:** `RenExceptionHandler` (使用 `@ControllerAdvice` 注解) 捕获应用中抛出的特定或所有异常 (如自定义的 `RenException`)，并返回统一格式的JSON错误响应给客户端。`ErrorCode` 定义了标准化的错误码。
+            *   **工具类:** 提供了日期转换、JSON处理(Jackson)、IP地址获取、HTTP上下文操作、统一结果封装 (`Result` 类)等多种实用工具。
+            *   **校验工具:** `ValidatorUtils` 和 `AssertUtils` 用于简化参数校验逻辑。
+            *   **XSS防护:** `XssFilter` 等组件用于防止跨站脚本攻击。
+            *   **MyBatis-Plus自动填充:** `FieldMetaObjectHandler` 用于在执行插入或更新数据库操作时，自动填充如 `createTime`, `updateTime` 等公共字段。
+
+    4.  **安全机制 (Apache Shiro):**
+        *   Shiro的配置（通常在 `modules/security/config/` 或 `common/config/` 下）定义了如何进行用户认证和授权。
+        *   **Realms (域):** 自定义的Shiro Realm类负责从数据库中查询用户信息（用户名、密码、盐值）进行身份验证，以及获取用户的角色和权限信息用于授权决策。
+        *   **Filters (过滤器):** Shiro过滤器链被应用于保护API端点，确保只有经过认证且拥有足够权限的用户才能访问特定资源。
+        *   **Session/Token Management:** Shiro管理用户会话。对于RESTful API，可能结合OAuth2或JWT等令牌机制实现无状态认证。
+
+    5.  **数据库版本控制 (Liquibase):**
+        *   数据库的表结构、索引、初始数据等变更，都通过Liquibase的 `changelog` 文件（通常是XML格式）进行定义和版本化管理。当应用启动时，Liquibase会自动检查并应用必要的数据库结构更新，确保开发、测试和生产环境数据库结构的一致性。
+
+    6.  **API文档:**
+        *   完整的API接口文档可通过以下地址访问: https://2662r3426b.vicp.fun/xiaozhi/doc.html
+        *   该文档使用Knife4j生成,提供了所有RESTful API端点的详细说明、请求/响应示例以及在线测试功能。
+
+`manager-api` 通过这些精心选择的技术和设计模式，构建了一个功能全面、结构清晰、安全可靠且易于维护和扩展的Java后端服务。其模块化的设计特别适合处理具有多种管理功能需求的复杂系统。
+
+---
+
+### 3.3. `manager-web` (Web管理前端 - Vue.js实现)
+
+`manager-web` 组件是一个采用 Vue.js 2 框架构建的单页应用 (SPA - Single Page Application)。它为系统管理员提供了一个功能丰富、交互友好的图形用户界面，用于全面管理和配置 `xiaozhi-esp32-server` 生态系统。
+
+*   **核心目标:**
+    *   提供一个基于Web的集中式控制面板，供管理员进行系统操作与监控。
+    *   实现对 `xiaozhi-server` 中AI服务提供商（ASR、LLM、TTS等）及其相关API密钥或许可配置的便捷管理。
+    *   支持用户账户、角色及权限的精细化管理。
+    *   提供ESP32设备的注册、配置及状态查看功能。
+    *   允许管理员自定义TTS音色、管理OTA固件更新流程、调整系统级参数及字典数据等。
+    *   作为 `manager-api` 所暴露各项功能的图形化交互前端。
+
+*   **核心技术栈:**
+    *   **Vue.js 2:** 一个渐进式的JavaScript框架，用于构建用户界面。其核心特性包括声明式渲染、组件化系统、数据绑定等，非常适合构建复杂的SPA。
+    *   **Vue CLI (`@vue/cli-service`):** Vue.js的官方命令行工具，用于项目的快速搭建、开发服务器的运行（支持热模块替换HMR）、以及生产环境构建打包（内部集成并配置了Webpack）。
+    *   **Vue Router (`vue-router`):** Vue.js官方的路由管理器。它负责在SPA内部实现不同“页面”或视图组件之间的导航切换，而无需重新加载整个HTML页面，提供了流畅的用户体验。
+    *   **Vuex (`vuex`):** Vue.js官方的状态管理模式和库。它充当了应用中所有组件的“中央数据存储”，用于管理全局共享状态（例如当前登录用户信息、设备列表、应用配置等），特别适用于大型复杂应用。
+    *   **Element UI (`element-ui`):** 一个广受欢迎的基于Vue 2.0的桌面端UI组件库。它提供了大量预先设计和实现的组件（如表单、表格、对话框、导航菜单、按钮、提示等），帮助开发者快速构建出专业且一致的用户界面。
+    *   **JavaScript (ES6+):** 前端逻辑实现的主要编程语言，利用其现代特性进行开发。
+    *   **SCSS (Sassy CSS):** 一种CSS预处理器，它为CSS增加了变量、嵌套规则、混合(Mixin)、继承等高级特性，使得CSS代码更易于组织、维护和复用。
+    *   **HTTP客户端 (Flyio 或 Axios 通过 `vue-axios`):** 用于在浏览器端向 `manager-api` 后端发起异步HTTP（AJAX）请求，以获取数据或提交操作。
+    *   **Webpack:** 一个强大的模块打包工具（由Vue CLI在底层管理和配置）。它将项目中的各种资源（JavaScript文件、CSS、图片、字体等）视为模块，并将它们打包成浏览器可识别的静态文件。
+    *   **Workbox (通过 `workbox-webpack-plugin`):** Google开发的一个库，用于简化Service Worker的编写和PWA（Progressive Web App - 渐进式Web应用）的实现。它可以帮助生成Service Worker脚本，实现资源缓存、离线访问等功能。
+    *   **Opus库 (`opus-decoder`, `opus-recorder`):** 这些音频处理库表明前端可能具备一些直接在浏览器中处理Opus格式音频的能力，例如：用于测试麦克风输入、允许管理员录制自定义音频片段（可能用于TTS音色样本或语音指令测试），或播放在管理界面中预览的Opus编码音频。
+
+*   **关键实现细节:**
+
+    1.  **单页应用 (SPA) 结构:**
+        *   整个前端应用加载一个主HTML文件 (`public/index.html`)。后续的所有页面切换和内容更新都在客户端由Vue Router动态完成，无需每次都从服务器请求新的HTML页面。这种模式能提供更快的页面加载速度和更流畅的交互体验。
+
+    2.  **组件化架构 (Component-Based Architecture):**
+        *   用户界面由一系列可复用的Vue组件 (`.vue` 单文件组件) 构成，形成一个组件树。这种方式提高了代码的模块化程度、可维护性和复用性。
+        *   **`src/main.js`:** 应用的入口JS文件。它负责创建和初始化根Vue实例，注册全局插件（如Vue Router, Vuex, Element UI），并把根Vue实例挂载到 `public/index.html` 中的某个DOM元素上（通常是 `#app`）。
+        *   **`src/App.vue`:** 应用的根组件。它通常定义了应用的基础布局结构（如包含导航栏、侧边栏、主内容区），并通过 `<router-view></router-view>` 标签来显示当前路由匹配到的视图组件。
+        *   **视图组件 (`src/views/`):** 这些组件代表了应用中的各个“页面”或主要功能区（例如 `Login.vue` 登录页, `DeviceManagement.vue` 设备管理页, `UserManagement.vue` 用户管理页, `ModelConfig.vue` 模型配置页）。它们通常由Vue Router直接映射。
+        *   **可复用UI组件 (`src/components/`):** 包含了在不同视图之间共享的、更小粒度的UI组件（例如 `HeaderBar.vue` 顶部导航栏, `AddDeviceDialog.vue` 添加设备对话框, `AudioPlayer.vue` 音频播放器组件）。
+
+    3.  **客户端路由 (`src/router/index.js`):**
+        *   Vue Router在此文件中进行配置，定义了应用的路由表。每个路由规则将一个特定的URL路径映射到一个视图组件。
+        *   常常包含**导航守卫 (Navigation Guards)**，例如 `beforeEach` 守卫，用于在路由跳转前执行逻辑，如检查用户是否已登录，如果未登录则重定向到登录页面，从而保护需要认证才能访问的页面。
+
+    4.  **状态管理 (`src/store/index.js`):**
+        *   Vuex被用来构建一个集中的状态管理中心（Store）。这个Store包含了：
+            *   **State:** 存储应用级别的共享数据（例如，当前登录用户的详细信息、从API获取的设备列表、系统配置等）。
+            *   **Getters:** 类似于Vue组件中的计算属性，用于从State派生出一些状态值，方便组件使用。
+            *   **Mutations:** **唯一**可以同步修改State中数据的方法。它们必须是同步函数。
+            *   **Actions:** 用于处理异步操作（如API调用）或封装多个Mutation提交。Actions会调用API，获取数据后，通过 `commit` 一个或多个Mutation来更新State。
+        *   例如，用户登录时，一个名为 `login` 的Action可能会被调用，它会向后端API发送登录请求，成功后获取到用户信息和token，然后 `commit` 一个名为 `SET_USER_INFO` 的Mutation来更新State中的用户信息和token。
+
+    5.  **API通信 (`src/apis/`):**
+        *   与 `manager-api` 后端的所有HTTP通信逻辑被封装在 `src/apis/` 目录下，通常会按照后端API的模块进行组织（例如 `src/apis/module/agent.js`, `src/apis/module/device.js`）。
+        *   每个模块导出一系列函数，每个函数对应一个具体的API请求。这些函数内部使用配置好的HTTP客户端实例 (例如，在 `src/apis/api.js` 或 `src/apis/httpRequest.js` 中统一配置Axios或Flyio实例，可能包含设置请求基地址、请求/响应拦截器等)。
+        *   **拦截器 (Interceptors):** HTTP客户端的请求拦截器常用于在每个请求发送前自动添加认证令牌（如JWT）；响应拦截器则可用于全局处理API错误（如权限不足、服务器错误）或对响应数据进行预处理。
+
+    6.  **样式与资源 (`src/styles/`, `src/assets/`):**
+        *   `Element UI` 提供了基础的组件样式。
+        *   `src/styles/global.scss` 文件用于定义全局共享的SCSS样式、变量、混合(Mixin)等。
+        *   Vue单文件组件内部的 `<style scoped>` 标签允许编写只作用于当前组件的局部样式。
+        *   `src/assets/` 目录存放图片、字体等静态资源。
+
+    7.  **构建与PWA特性:**
+        *   Vue CLI通过Webpack将所有代码和资源打包成优化的静态文件，用于生产部署。
+        *   `workbox-webpack-plugin` 的使用（体现在 `service-worker.js` 和 `registerServiceWorker.js` 文件）表明项目集成了Service Worker技术。Service Worker可以拦截网络请求，实现前端资源的智能缓存（从而加快后续访问速度），甚至在网络断开时提供一定的离线访问能力，是PWA的核心技术之一。
+
+    8.  **环境配置 (`.env`系列文件):**
+        *   项目根目录下的 `.env` (以及 `.env.development`, `.env.production` 等) 文件用于定义环境变量。这些变量（例如 `VUE_APP_API_BASE_URL` 来指定 `manager-api` 的基础URL）可以在应用代码中通过 `process.env.VUE_APP_XXX` 的形式访问，从而允许为不同构建环境（开发、测试、生产）配置不同的参数。
+
+`manager-web` 通过这些技术的综合运用，构建了一个功能强大、易于维护且用户体验良好的管理界面，为 `xiaozhi-esp32-server` 系统的配置和监控提供了坚实的前端支持。
+
+---
+
+## 4. 数据流与交互机制
+
+`xiaozhi-esp32-server` 系统通过各组件间定义清晰的数据流和交互协议来协同工作。主要的通信方式依赖于针对实时交互优化的WebSocket协议和适用于客户端-服务器请求的RESTful API。
+
+**4.1.核心语音交互流程 (ESP32设备 <-> `xiaozhi-server`)**
+
+此流程是实时的，主要通过WebSocket进行低延迟、双向的数据交换。
+
+*   **通讯协议文档:**
+    *   详细的通讯协议说明文档可通过以下地址访问: https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh
+    *   该文档详细描述了ESP32设备与`xiaozhi-server`之间的WebSocket通信协议,包括:
+        *   连接建立与握手流程
+        *   音频数据传输格式
+        *   控制命令格式
+        *   状态报告格式
+        *   错误处理机制
+
+*   **连接建立与握手:**
+    *   ESP32设备作为客户端，主动向`xiaozhi-server`的指定端点（例如 `ws://<服务器IP>:<WebSocket端口>/xiaozhi/v1/`）发起WebSocket连接请求。
+    *   `xiaozhi-server` (`core/websocket_server.py`) 接收连接，并为每个成功连接的ESP32设备实例化一个独立的`ConnectionHandler`对象来管理该会话的整个生命周期。
+    *   连接建立后，可能会执行一个初始握手流程（由`core/handle/helloHandle.py`处理），用于交换设备标识、认证信息、协议版本或基本状态。
+
+*   **音频上行传输 (ESP32 -> `xiaozhi-server`):**
+    *   用户对ESP32设备讲话后，设备上的麦克风捕捉原始音频数据（通常是PCM或经过压缩如Opus的格式）。
+    *   ESP32将这些音频数据块（chunks）作为WebSocket的**二进制消息 (binary messages)** 实时推送到`xiaozhi-server`对应的`ConnectionHandler`。
+    *   服务器端的`core/handle/receiveAudioHandle.py`模块负责接收、缓冲并处理这些音频数据。
+
+*   **AI核心处理 (在`xiaozhi-server`内部):**
+    *   **VAD (语音活动检测):** `receiveAudioHandle.py`利用配置的VAD提供者（如SileroVAD）分析音频流，以准确识别语音的起始和结束点，滤除静默或噪声片段。
+    *   **ASR (自动语音识别):** 检测到的有效语音片段被送往配置的ASR提供者（本地如FunASR，或云端服务）。ASR引擎将音频信号转换为文本字符串。
+    *   **NLU/LLM (自然语言理解/大型语言模型):** ASR输出的文本，连同从Memory提供者获取的当前对话上下文历史，以及从`plugins_func/`加载的可用函数（工具）的描述模式，一同被传递给配置的LLM提供者。
+    *   **函数调用执行 (若LLM决策需要):** 如果LLM分析后认为需要调用外部函数（例如查询天气、控制家电），它会生成一个结构化的函数调用请求。`core/handle/functionHandler.py`接收此请求，查找并执行在`plugins_func/`中定义的相应Python函数，并将函数的执行结果返回给LLM。LLM随后基于此结果生成最终的自然语言回复。
+    *   **回复生成:** LLM综合所有信息（用户输入、上下文、函数调用结果等）生成最终的文本回复。
+    *   **记忆更新:** 当前轮次的交互（用户问题、LLM回复、可能的功能调用）会被Memory提供者处理，以更新对话历史，供后续交互使用。
+    *   **TTS (文本转语音):** LLM生成的最终文本回复被送往配置的TTS提供者，后者将文本合成为语音数据流（例如MP3或WAV格式）。
+
+*   **音频下行响应 (`xiaozhi-server` -> ESP32):**
+    *   由TTS提供者合成的语音数据流，通过`core/handle/sendAudioHandle.py`模块，作为WebSocket的**二进制消息**实时发送回ESP32设备。
+    *   ESP32设备接收这些音频数据块并立即通过扬声器播放给用户。
+
+*   **控制与状态消息 (双向):**
+    *   除了音频流，ESP32与`xiaozhi-server`之间也通过WebSocket交换**文本消息 (text messages)**，这些消息通常采用JSON格式封装。
+    *   **ESP32 -> Server:** 设备可能发送状态报告（如网络状况、麦克风状态）、错误代码、或特定的控制命令（例如用户按键触发的“停止TTS播报”）。
+    *   **Server -> ESP32:** 服务器可能发送控制指令给设备（如“开始监听”、“停止监听”、调整灵敏度、下发特定配置参数）。
+    *   `core/handle/abortHandle.py`（处理中断请求）、`core/handle/reportHandle.py`（处理设备报告）等模块负责解析和响应这些控制/状态消息。
+
+**4.2.管理与配置流程 (`manager-web` <-> `manager-api` <-> `xiaozhi-server`)**
+
+此流程主要依赖于基于HTTP/HTTPS的RESTful API进行请求-响应式的交互。
+
+*   **管理员UI后端交互 (`manager-web` -> `manager-api`):**
+    *   当管理员在`manager-web`界面执行操作时（例如保存一项配置、添加一个新用户、注册一台ESP32设备）：
+        *   Vue.js前端应用 (`manager-web`) 会通过其API封装模块（位于`src/apis/module/`）向`manager-api`的对应REST API端点发起异步HTTP请求（通常是GET, POST, PUT, DELETE）。
+        *   请求体和响应体通常使用JSON格式。
+        *   `manager-api`中的`@RestController`类接收这些请求。**Apache Shiro**框架会首先对请求进行认证和授权检查。
+        *   通过验证后，Controller将请求分发给相应的Service层处理业务逻辑。Service层可能会与MySQL数据库（通过MyBatis-Plus）交互，并可能利用Redis进行数据缓存。
+        *   处理完成后，`manager-api`向`manager-web`返回一个JSON格式的HTTP响应。
+        *   `manager-web`根据响应结果更新其Vuex状态存储和用户界面显示。
+
+*   **配置同步 (`manager-api` -> `xiaozhi-server`):**
+    *   `xiaozhi-server`的运行依赖于从`manager-api`获取的动态配置（例如当前选用的AI服务提供商及其API密钥）。
+    *   **拉取机制 (Pull Mechanism):** `xiaozhi-server`内部的`config/manage_api_client.py`模块，在服务器启动时或通过特定更新触发器（例如`WebSocketServer.update_config()`被调用），会向`manager-api`的一个指定端点（例如由`modules/config/controller/`中的某个Controller提供）发起HTTP GET请求。
+    *   `manager-api`响应该请求，返回`xiaozhi-server`所需的配置数据（JSON格式）。
+    *   `xiaozhi-server`接收到配置后，会更新其内部状态，并可能重新初始化相关的AI服务模块，以使新配置生效。
+
+*   **OTA固件更新流程 (概念性描述):**
+    *   管理员通过`manager-web`界面上传新的ESP32固件包到`manager-api`的特定端点。
+    *   `manager-api`将固件文件存储起来，并记录相关元数据（版本号、适用设备型号等）。
+    *   当管理员触发对特定设备的OTA更新时：
+        *   `manager-api`可能会通知`xiaozhi-server`（具体通知机制可能是一个轮询检查点，或`xiaozhi-server`暴露一个接收更新通知的API，或者更松耦合的如消息队列）。
+        *   `xiaozhi-server`随后可以通过WebSocket向目标ESP32设备发送一条包含固件下载URL的指令消息。
+        *   ESP32设备收到指令后，通过HTTP GET请求从该URL下载固件。此URL可能指向`xiaozhi-server`自身运行的`SimpleHttpServer`所服务的路径（如`/xiaozhi/ota/`），或者在某些架构中，也可能直接指向`manager-api`或专用的文件服务器。
+
+**4.3. 主要协议总结:**
+
+*   **WebSocket:** 被选用于ESP32与`xiaozhi-server`之间的通信链路，因为它非常适合实时、低延迟、双向的数据流传输（尤其是音频），以及异步控制消息的传递。
+*   **RESTful APIs (基于HTTP/HTTPS，通常使用JSON作为数据交换格式):** 这是Web服务间通信的标准方式。用于`manager-web`（客户端）与`manager-api`（服务器）之间的请求-响应交互，也用于`xiaozhi-server`（作为客户端）从`manager-api`（作为服务器）拉取配置信息。其无状态特性、广泛的库支持和易于理解的语义使其成为此类交互的理想选择。
+
+这种多协议并用的通信策略，确保了系统内不同类型的交互需求都能得到高效和恰当的处理，兼顾了实时性和标准化的请求-响应模式。
+
+---
+
+## 5. 核心功能概要
+
+`xiaozhi-esp32-server` 系统提供了一系列丰富的功能，旨在支持开发者构建先进的语音控制应用：
+
+1.  **全面的语音交互后端:** 提供从语音捕获指导到响应生成和动作执行的端到端解决方案。
+2.  **模块化和可插拔的AI服务:**
+    *   支持广泛的ASR（自动语音识别）、LLM（大型语言模型）、TTS（文本转语音）、VAD（语音活动检测）、意图识别和记忆提供商。
+    *   允许动态选择和配置这些服务（包括基于云的API和本地模型），以平衡成本、性能、隐私和语言需求。
+3.  **高级对话管理:**
+    *   支持自然交互，具有唤醒词启动对话、手动（按键说话式）对话以及对系统响应的实时打断等功能。
+    *   包含上下文记忆，以在多轮对话中保持连贯性。
+    *   在一段时间不活动后具有自动休眠模式。
+4.  **多语言能力:**
+    *   支持多种语言的识别和合成，包括普通话、粤语、英语、日语和韩语（具体取决于所选的ASR/LLM/TTS提供商）。
+5.  **通过插件实现的可扩展功能:**
+    *   强大的插件系统允许开发人员添加自定义“技能”或函数（例如，获取天气、控制智能家居设备、访问新闻）。
+    *   这些函数可以由LLM使用其函数调用能力，根据提供的模式来触发。
+    *   内置对Home Assistant集成的支持。
+6.  **物联网设备控制:**
+    *   设计用于通过语音命令管理和控制智能家居设备及其他物联网硬件，并利用插件系统。
+7.  **基于Web的管理控制台 (`manager-web` & `manager-api`):**
+    *   提供全面的图形界面，用于：
+        *   系统配置（AI服务选择、API密钥、操作参数）。
+        *   基于角色的访问控制的用户管理。
+        *   ESP32设备注册和管理。
+        *   语音音色/TTS语音定制。
+        *   ESP32设备的OTA（空中下载）固件更新管理。
+        *   系统参数和字典的管理。
+8.  **灵活的部署选项:**
+    *   支持通过Docker容器（用于简化的仅服务器或全栈设置）和直接从源代码部署，以适应各种环境和用户专业知识。
+9.  **动态远程配置:**
+    *   `xiaozhi-server`可以从`manager-api`获取其配置，允许实时更新AI提供商和设置，而无需重新启动服务器。
+10. **开源和社区驱动:**
+    *   根据MIT许可证授权，鼓励透明、协作和社区贡献。
+11. **经济高效的解决方案:**
+    *   提供“入门全免费设置”路径，利用AI服务的免费套餐或本地模型，使其易于进行实验和个人项目。
+12. **渐进式Web应用 (PWA) 特性:**
+    *   `manager-web`控制面板包含Service Worker集成，以增强缓存和潜在的离线访问能力。
+13. **详细的API文档:**
+    *   `manager-api`通过Knife4j提供OpenAPI (Swagger) 文档，以便清晰理解和测试其RESTful端点。
+
+这些功能共同使`xiaozhi-esp32-server`成为一个强大、适应性强且用户友好的平台，用于构建复杂的语音交互应用程序。
+
+---
+
+## 6. 部署与配置概述
+
+`xiaozhi-esp32-server`系统在设计上充分考虑了灵活性，提供了多种部署方法和全面的配置选项，以适应不同的使用场景和需求。
+
+**部署选项:**
+
+项目可以通过多种方式部署，主要包括使用Docker简化安装过程，或直接从源代码部署以获得更大的控制权和进行开发。
+
+1.  **基于Docker的部署:**
+    *   **简化安装 (仅`xiaozhi-server`):** 此选项仅部署核心的基于Python的`xiaozhi-server`。它适用于主要需要语音AI处理能力和IoT控制，而不需要完整Web管理界面和数据库支持功能（如OTA）的用户。在此模式下，配置通常通过本地文件（`config.yaml`）管理，但如果需要，仍可将其指向一个已存在的`manager-api`实例。
+    *   **全模块安装 (所有组件):** 此方案部署所有核心组件：`xiaozhi-server`、基于Java的`manager-api`、以及基于Vue.js的`manager-web`，同时还包括所需的数据库服务（MySQL和Redis）。这提供了完整的系统体验，包括用于全面配置和管理的Web控制面板。
+    *   项目为每个服务提供了`Dockerfile`定义，并使用`docker-compose.yml`文件（例如`docker-compose.yml`用于基础版，`docker-compose_all.yml`用于全功能版）来编排和管理多容器的部署。此外，还可能提供一个`docker-setup.sh`脚本来辅助自动化部分Docker环境的搭建工作。
+
+2.  **源代码部署:**
+    *   这种方法需要为每个组件手动设置相应的开发环境：Python环境用于`xiaozhi-server`，Java/Maven环境用于`manager-api`，Node.js/Vue CLI环境用于`manager-web`。
+    *   对于全模块安装，还需要手动安装和配置MySQL及Redis数据库服务。
+    *   这种方式通常用于项目开发、深度定制、调试，或者在对环境有特殊要求的生产场景中。
+
+**配置管理:**
+
+配置是定制系统行为的关键，尤其是在选择AI服务提供商和管理API密钥方面。
+
+1.  **`xiaozhi-server` 配置:**
+    *   **本地`config.yaml`:** 位于`xiaozhi-server`根目录下的一个主要的YAML格式配置文件。它定义了服务器端口、选定的AI服务提供商（ASR、LLM、TTS、VAD、意图识别、记忆模块等）、它们各自的API密钥或模型路径、插件配置以及日志级别等。
+    *   **通过`manager-api`进行远程配置:** `xiaozhi-server`被设计为可以从`manager-api`获取其运行配置。从`manager-api`获取的设置通常会覆盖本地`config.yaml`中的同名设置。这带来了两大好处：
+        *   **集中管理:** 所有配置都可以通过`manager-web`界面进行统一管理。
+        *   **动态更新:** `xiaozhi-server`可以刷新其配置并重新初始化AI模块，而无需完全重启服务。
+    *   `xiaozhi-server`中的`config/config_loader.py`和`config/manage_api_client.py`负责处理配置的加载、合并及从`manager-api`拉取的逻辑。
+
+2.  **`manager-api` 配置:**
+    *   作为一个Spring Boot应用，其配置主要通过位于`src/main/resources`目录下的`application.properties`或`application.yml`文件进行管理。
+    *   关键配置项包括：数据库连接信息（MySQL的URL、用户名、密码）、Redis服务器地址和端口、应用服务端口（默认为8002）、Apache Shiro安全相关的设置，以及任何集成的第三方服务（如阿里云短信）的配置参数。
+
+3.  **`manager-web` 配置:**
+    *   Vue.js前端应用的环境特定设置通过项目根目录下的`.env`系列文件（例如`.env`, `.env.development`, `.env.production`）进行管理。
+    *   这里最关键的配置通常是`manager-api`后端的API基础URL地址 (例如 `VUE_APP_API_BASE_URL`)，前端应用将向此地址发送所有API请求。
+
+4.  **预定义的配置方案:**
+    *   项目文档（通常是README）中会推荐一些常见的配置组合，例如：
+        *   **“入门全免费设置”:** 该方案旨在利用云AI服务的免费套餐额度或完全免费的本地模型，以最大程度地降低用户的初始使用成本和运营费用。
+        *   **“全流式配置”:** 该方案优先考虑系统的响应速度和交互的流畅性，通常会选用支持流式处理的（可能付费的）AI服务。
+    *   这些预定义方案为用户在`xiaozhi-server`中配置AI服务提供商（通过`manager-web`界面或直接修改`config.yaml`）提供了指导。
+
+在全模块部署的情况下，推荐使用`manager-web`控制面板作为大多数配置任务的主要操作界面，因为它提供了一种用户友好的方式来管理由`manager-api`持久化并最终由`xiaozhi-server`使用的各项设置。
+
+---

main/README_en.md

@@ -0,0 +1,369 @@
+# Technical Documentation: `xiaozhi-esp32-server`
+
+**Table of Contents:**
+
+1.  [Introduction](#1-introduction)
+2.  [Overall Architecture](#2-overall-architecture)
+3.  [Component Deep Dive](#3-component-deep-dive)
+    *   [3.1. `xiaozhi-server` (Core AI Engine - Python Implementation)](#31-xiaozhi-server-core-ai-engine---python-implementation)
+    *   [3.2. `manager-api` (Management Backend - Java Spring Boot Implementation)](#32-manager-api-management-backend---java-spring-boot-implementation)
+    *   [3.3. `manager-web` (Web Management Frontend - Vue.js Implementation)](#33-manager-web-web-management-frontend---vuejs-implementation)
+4.  [Data Flow and Interaction Mechanisms](#4-data-flow-and-interaction-mechanisms)
+5.  [Key Features Summary](#5-key-features-summary)
+6.  [Deployment and Configuration Overview](#6-deployment-and-configuration-overview)
+
+---
+
+## 1. Introduction
+
+The `xiaozhi-esp32-server` project is a **comprehensive backend system** designed to support intelligent hardware based on ESP32. Its core goal is to enable developers to quickly build a robust server infrastructure that can understand natural language commands, interact efficiently with various AI services (for speech recognition, natural language understanding, and speech synthesis), manage IoT devices, and provide a web-based user interface for system configuration and management. By integrating multiple cutting-edge technologies into a cohesive and extensible platform, this project aims to simplify and accelerate the development process of customizable voice assistants and intelligent control systems. It is not just a simple server, but a bridge connecting hardware, AI capabilities, and user management.
+
+---
+
+## 2. Overall Architecture
+
+The `xiaozhi-esp32-server` system adopts a **distributed, multi-component collaborative** architectural design, ensuring modularity, maintainability, and scalability. Each core component has its specific role and works in coordination. The main components include:
+
+1.  **ESP32 Hardware (Client Device):**
+    This is the physical smart hardware device that end-users directly interact with. Its main responsibilities include:
+    *   Capturing user voice commands.
+    *   Securely sending captured raw audio data to `xiaozhi-server` for processing.
+    *   Receiving synthesized voice responses from `xiaozhi-server` and playing them through speakers.
+    *   Controlling other connected peripherals or IoT devices (such as smart bulbs, sensors, etc.) based on instructions received from `xiaozhi-server`.
+
+2.  **`xiaozhi-server` (Core AI Engine - Python Implementation):**
+    This Python-based server is the "brain" of the entire system, responsible for handling all voice-related logic and AI interactions. Its key responsibilities are detailed as follows:
+    *   Establishing **stable, low-latency real-time bidirectional communication links** with ESP32 devices through the WebSocket protocol.
+    *   Receiving audio streams from ESP32 and using Voice Activity Detection (VAD) technology to precisely segment valid speech segments.
+    *   Integrating and calling Automatic Speech Recognition (ASR) services (configurable for local or cloud), converting speech segments to text.
+    *   Interacting with Large Language Models (LLMs) to parse user intent, generate intelligent responses, and support complex natural language understanding tasks.
+    *   Managing context information and user memory in multi-turn dialogues to provide coherent interaction experiences.
+    *   Calling Text-to-Speech (TTS) services to synthesize natural and fluent speech from LLM-generated text responses.
+    *   Executing custom commands through a flexible **plugin system**, including IoT device control logic.
+    *   Obtaining its detailed runtime operation configuration from the `manager-api` service.
+
+3.  **`manager-api` (Management Backend - Java Spring Boot Implementation):**
+    This is an application built using the Java Spring Boot framework, providing a secure RESTful API for system management and configuration. It serves not only as the backend support for the `manager-web` console but also as the configuration data source for `xiaozhi-server`. Its core functions include:
+    *   Providing user authentication (login, permission verification) and user account management functions for the Web console.
+    *   Registration, information management of ESP32 devices, and maintenance of device-specific configurations.
+    *   Persistently storing system configurations in the **MySQL database**, such as user-selected AI service providers, API keys, device parameters, plugin settings, etc.
+    *   Providing specific API endpoints for `xiaozhi-server` to pull its required latest configuration.
+    *   Managing TTS voice options, handling OTA (Over-The-Air) firmware update processes, and related metadata.
+    *   Utilizing **Redis** as a high-speed cache to store hotspot data (such as session information, frequently accessed configurations) to improve API response speed and overall system performance.
+
+4.  **`manager-web` (Web Control Panel - Vue.js Implementation):**
+    This is a Single Page Application (SPA) built with Vue.js, providing system administrators with a graphical, user-friendly operation interface. Its main capabilities include:
+    *   Conveniently configuring various AI services used by `xiaozhi-server` (such as ASR, LLM, TTS provider switching, parameter adjustment).
+    *   Managing platform user accounts, role assignment, and permission control.
+    *   Managing registered ESP32 devices and their related settings.
+    *   (Potential functionality) Monitoring system operation status, viewing logs, troubleshooting, etc.
+    *   Comprehensive interaction with all backend management functions provided by `manager-api`.
+
+**High-Level Interaction Flow Overview:**
+
+*   **Voice Interaction Main Line:** After the **ESP32 device** captures user voice, it transmits audio data in real-time to **`xiaozhi-server`** through **WebSocket**. After `xiaozhi-server` completes a series of AI processing (VAD, ASR, LLM interaction, TTS), it sends the synthesized voice response back to the ESP32 device for playback through WebSocket. All real-time interactions directly related to voice are completed in this link.
+*   **Management Configuration Main Line:** Administrators access the **`manager-web`** console through a browser. `manager-web` executes various management operations (such as modifying configurations, managing users or devices) by calling **RESTful HTTP interfaces** provided by **`manager-api`**. Data is passed between them in JSON format.
+*   **Configuration Synchronization:** **`xiaozhi-server`** actively pulls its latest operation configuration from **`manager-api`** through HTTP requests when starting or when specific update mechanisms are triggered. This ensures that configuration changes made by administrators in the Web interface can be effectively applied to the operation of the core AI engine in a timely manner.
+
+This **frontend-backend separation, core service and management service separation** architectural design allows `xiaozhi-server` to focus on efficient real-time AI processing tasks, while `manager-api` and `manager-web` together provide a powerful and easy-to-use management and configuration platform. Each component has clear responsibilities, facilitating independent development, testing, deployment, and expansion.
+
+```
+xiaozhi-esp32-server
+  ├─ xiaozhi-server Port 8000 Python development Responsible for ESP32 communication
+  ├─ manager-web Port 8001 Node.js+Vue development Responsible for providing web interface for console
+  ├─ manager-api Port 8002 Java development Responsible for providing console API
+```
+
+---
+
+## 3. Component Deep Dive
+
+### 3.1. `xiaozhi-server` (Core AI Engine - Python Implementation)
+
+The `xiaozhi-server` is the intelligent core of the system, responsible for processing voice interactions, interfacing with AI services, and managing communication with ESP32 devices.
+
+*   **Purpose:**
+    *   To provide real-time processing of voice commands from ESP32 devices.
+    *   To integrate with various AI services for Speech-to-Text (ASR), Natural Language Understanding (via Large Language Models - LLMs), Text-to-Speech (TTS), Voice Activity Detection (VAD), Intent Recognition, and Memory.
+    *   To manage dialogue flow and context with users.
+    *   To execute custom functions and control IoT devices based on user commands.
+    *   To be dynamically configurable through the `manager-api`.
+
+*   **Core Technologies:**
+    *   **Python 3:** The primary programming language.
+    *   **Asyncio:** Python's asynchronous programming framework, crucial for handling concurrent WebSocket connections and non-blocking I/O for AI service API calls.
+    *   **`websockets` Library:** For WebSocket server implementation.
+    *   **HTTP Client (e.g., `aiohttp`, `httpx`):** For asynchronous HTTP requests to `manager-api` and external AI services.
+    *   **YAML (PyYAML):** For local configuration file parsing.
+
+*   **Key Implementation Aspects:**
+
+    1.  **AI Service Provider Pattern (`core/providers/`):**
+        *   **Concept:** A flexible design for integrating AI services. Each service type (ASR, TTS, LLM, etc.) has an abstract base class defining a common interface. Concrete classes implement this interface for specific vendors or local models.
+        *   **Benefit:** Allows easy switching of AI service backends via configuration and simplifies adding new service integrations.
+        *   **Initialization:** `core/utils/modules_initialize.py` acts as a factory to load and instantiate configured providers.
+
+    2.  **WebSocket Communication & Connection Handling (`core/websocket_server.py`, `core/connection.py`):**
+        *   **Server Setup:** Manages WebSocket connections from ESP32 devices.
+        *   **Connection Isolation:** Each ESP32 client gets a dedicated `ConnectionHandler` instance, isolating its session state and dialogue.
+        *   **Dynamic Configuration Updates:** Can fetch updated configurations from `manager-api` and re-initialize AI service modules live, without a full server restart.
+
+    3.  **Message Handling & Dialogue Flow (`core/handle/`):**
+        *   Employs a modular handler pattern. The `ConnectionHandler` dispatches message processing to specialized modules based on message type or dialogue phase (e.g., `receiveAudioHandle.py` for audio input, `intentHandler.py` for NLU, `functionHandler.py` for plugin execution, `sendAudioHandle.py` for TTS output).
+
+    4.  **Plugin System for Extensible Functions (`plugins_func/`):**
+        *   **Purpose:** Allows adding custom "skills" (e.g., weather, news, Home Assistant control).
+        *   **Mechanism:** Plugins define functions and schemas. The LLM can request execution of these functions (function calling). `loadplugins.py` and `register.py` manage plugin discovery and registration.
+
+    5.  **Configuration Management (`config/`):**
+        *   Loads settings from a local `config.yaml` and merges them with configurations fetched from `manager-api` (via `manage_api_client.py`), enabling remote dynamic configuration.
+        *   `logger.py` sets up structured application logging.
+        *   `config/assets/` stores predefined audio files for system notifications.
+
+    6.  **Auxiliary HTTP Server (`core/http_server.py`):**
+        *   Handles specific HTTP requests, notably for OTA firmware updates (`/xiaozhi/ota/`) and other utility endpoints.
+
+### 3.2. `manager-api` (Management Backend - Java Spring Boot Implementation)
+
+The `manager-api` component is a backend server built using Java and the Spring Boot framework, serving as the administrative hub.
+
+*   **Purpose:**
+    *   Provide a secure RESTful API for the `manager-web` frontend.
+    *   Act as a centralized configuration provider for `xiaozhi-server`.
+    *   Manage persistent data (users, devices, AI configurations, voice timbres, OTA firmware).
+
+*   **Core Technologies:**
+    *   **Java 21 & Spring Boot 3:** Core language and framework.
+    *   **Spring MVC:** For building REST controllers.
+    *   **MyBatis-Plus:** ORM for database interaction with MySQL.
+    *   **MySQL:** Relational database.
+    *   **Druid:** JDBC connection pool.
+    *   **Redis (Spring Data Redis):** For caching.
+    *   **Apache Shiro:** Security framework for authentication and authorization.
+    *   **Liquibase:** Database schema migration.
+    *   **Knife4j:** OpenAPI (Swagger) API documentation.
+    *   **Maven:** Build and dependency management.
+
+*   **Key Implementation Aspects:**
+
+    1.  **Modular Architecture (`modules/` package):**
+        *   Business logic is organized into distinct modules (e.g., `sys` for users/roles, `agent` for assistant configs, `device` for ESP32s, `config` for `xiaozhi-server` settings, `security`, `timbre`, `ota`).
+        *   Each module typically follows a layered pattern: Controller, Service, DAO (Mapper), Entity, DTO.
+
+    2.  **Layered Architecture:**
+        *   **Controller Layer (`@RestController`):** Defines API endpoints, handles HTTP request/response.
+        *   **Service Layer (`@Service`):** Contains business logic, transaction management.
+        *   **Data Access Layer (MyBatis-Plus Mappers):** Interacts with the MySQL database.
+
+    3.  **Common Functionalities (`common/` package):**
+        *   Provides shared code: base classes, global configurations (Spring, MyBatis, Redis, Knife4j), custom annotations (e.g., `@LogOperation`), AOP aspects, global exception handling, utility classes, and XSS protection.
+
+    4.  **Security (Apache Shiro):**
+        *   Manages user authentication and permissions for accessing API endpoints. Configured with Shiro Realms and security filters.
+
+    5.  **Database Schema Management (Liquibase):**
+        *   Ensures consistent database structure across environments through versioned schema changes.
+
+### 3.3. `manager-web` (Web Control Panel - Vue.js Implementation)
+
+The `manager-web` is a Single Page Application (SPA) providing the administrative user interface.
+
+*   **Purpose:**
+    *   Offer a web-based control panel for system configuration and management.
+    *   Enable administrators to configure `xiaozhi-server`'s AI services, manage users and devices, customize voice timbres, and handle OTA updates.
+
+*   **Core Technologies:**
+    *   **Vue.js 2 & Vue CLI:** Core JavaScript framework and build tools.
+    *   **Vue Router:** For client-side routing within the SPA.
+    *   **Vuex:** For centralized state management.
+    *   **Element UI:** UI component library for a consistent look and feel.
+    *   **SCSS:** CSS preprocessor.
+    *   **HTTP Client (Flyio or Axios):** For API calls to `manager-api`.
+    *   **Workbox:** For PWA features (caching, service worker).
+    *   **Opus Libraries:** For potential in-browser audio recording/playback.
+
+*   **Key Implementation Aspects:**
+
+    1.  **SPA Structure:** Single HTML page with dynamic view updates.
+    2.  **Component-Based Architecture:** UI built from reusable Vue components (`.vue` files in `src/views/` for pages and `src/components/` for smaller elements).
+    3.  **Client-Side Routing (`src/router/index.js`):** Maps browser URLs to view components, with route guards for authentication.
+    4.  **State Management (`src/store/index.js`):** Vuex manages global state (user info, device lists, etc.) via state, getters, mutations, and actions (often involving API calls).
+    5.  **API Communication (`src/apis/`):** Modularized API service files make asynchronous calls to `manager-api`.
+    6.  **Build Process & PWA Features:** Vue CLI (Webpack) bundles assets. Workbox enables PWA features like caching.
+    7.  **Environment Configuration (`.env` files):** Manages settings like the `manager-api` base URL for different environments.
+
+---
+
+## 4. Data Flow and Interaction Mechanisms
+
+The `xiaozhi-esp32-server` system coordinates work through well-defined data flows and interaction protocols between components. The main communication methods rely on WebSocket protocol optimized for real-time interaction and RESTful API suitable for client-server requests.
+
+**4.1. Core Voice Interaction Flow (ESP32 Device <-> `xiaozhi-server`)**
+
+This flow is real-time, primarily using WebSocket for low-latency, bidirectional data exchange.
+
+*   **Communication Protocol Documentation:**
+    *   Detailed communication protocol documentation can be accessed at: https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh
+    *   This document details the WebSocket communication protocol between ESP32 devices and `xiaozhi-server`, including:
+        *   Connection establishment and handshake process
+        *   Audio data transmission format
+        *   Control command format
+        *   Status report format
+        *   Error handling mechanism
+
+*   **Connection Establishment and Handshake:**
+    *   The ESP32 device, as a client, actively initiates a WebSocket connection request to the specified endpoint of `xiaozhi-server` (e.g., `ws://<server-IP>:<WebSocket-port>/xiaozhi/v1/`).
+    *   `xiaozhi-server` (`core/websocket_server.py`) receives the connection and instantiates an independent `ConnectionHandler` object for each successfully connected ESP32 device to manage the entire lifecycle of that session.
+    *   After the connection is established, an initial handshake process may be executed (handled by `core/handle/helloHandle.py`) to exchange device identification, authentication information, protocol version, or basic status.
+
+*   **Audio Uplink Transmission (ESP32 -> `xiaozhi-server`):**
+    *   After a user speaks to the ESP32 device, the device's microphone captures raw audio data (usually in PCM or compressed formats like Opus).
+    *   The ESP32 pushes these audio data chunks as WebSocket **binary messages** in real-time to the corresponding `ConnectionHandler` in `xiaozhi-server`.
+    *   The server-side `core/handle/receiveAudioHandle.py` module is responsible for receiving, buffering, and processing these audio data.
+
+*   **AI Core Processing (within `xiaozhi-server`):**
+    *   **VAD (Voice Activity Detection):** `receiveAudioHandle.py` uses the configured VAD provider (such as SileroVAD) to analyze the audio stream, accurately identifying the start and end points of speech, filtering out silent or noise segments.
+    *   **ASR (Automatic Speech Recognition):** Detected valid speech segments are sent to the configured ASR provider (local such as FunASR, or cloud services). The ASR engine converts audio signals into text strings.
+    *   **NLU/LLM (Natural Language Understanding/Large Language Model):** The ASR output text, along with the current dialogue context history obtained from the Memory provider, and the description schemas of available functions (tools) loaded from `plugins_func/`, are passed to the configured LLM provider.
+    *   **Function Call Execution (if LLM decides needed):** If the LLM analysis determines that an external function needs to be called (e.g., querying weather, controlling home appliances), it generates a structured function call request. `core/handle/functionHandler.py` receives this request, finds and executes the corresponding Python function defined in `plugins_func/`, and returns the function's execution result to the LLM. The LLM then generates the final natural language response based on this result.
+    *   **Response Generation:** The LLM synthesizes all information (user input, context, function call results, etc.) to generate the final text response.
+    *   **Memory Update:** The current round of interaction (user question, LLM response, possible function calls) is processed by the Memory provider to update the dialogue history for subsequent interactions.
+    *   **TTS (Text-to-Speech):** The final text response generated by the LLM is sent to the configured TTS provider, which synthesizes the text into a speech data stream (e.g., MP3 or WAV format).
+
+*   **Audio Downlink Response (`xiaozhi-server` -> ESP32):**
+    *   The speech data stream synthesized by the TTS provider is sent in real-time as WebSocket **binary messages** back to the ESP32 device through the `core/handle/sendAudioHandle.py` module.
+    *   The ESP32 device receives these audio data chunks and immediately plays them to the user through the speaker.
+
+*   **Control and Status Messages (Bidirectional):**
+    *   In addition to audio streams, ESP32 and `xiaozhi-server` also exchange **text messages** through WebSocket, these messages are usually encapsulated in JSON format.
+    *   **ESP32 -> Server:** The device may send status reports (such as network conditions, microphone status), error codes, or specific control commands (e.g., "stop TTS playback" triggered by user button press).
+    *   **Server -> ESP32:** The server may send control instructions to the device (such as "start listening", "stop listening", adjust sensitivity, send specific configuration parameters).
+    *   Modules like `core/handle/abortHandle.py` (handling interrupt requests), `core/handle/reportHandle.py` (handling device reports) are responsible for parsing and responding to these control/status messages.
+
+**4.2. Management and Configuration Flow (`manager-web` <-> `manager-api` <-> `xiaozhi-server`)**
+
+This flow primarily relies on HTTP/HTTPS-based RESTful API for request-response interactions.
+
+*   **Administrator UI Backend Interaction (`manager-web` -> `manager-api`):**
+    *   When administrators perform operations in the `manager-web` interface (e.g., saving a configuration, adding a new user, registering an ESP32 device):
+        *   The Vue.js frontend application (`manager-web`) will initiate asynchronous HTTP requests (usually GET, POST, PUT, DELETE) to the corresponding REST API endpoints of `manager-api` through its API encapsulation module (located in `src/apis/module/`).
+        *   Request and response bodies typically use JSON format.
+        *   The `@RestController` classes in `manager-api` receive these requests. The **Apache Shiro** framework will first perform authentication and authorization checks on the requests.
+        *   After verification, the Controller distributes the request to the corresponding Service layer to handle business logic. The Service layer may interact with the MySQL database (through MyBatis-Plus) and may utilize Redis for data caching.
+        *   After processing, `manager-api` returns an HTTP response in JSON format to `manager-web`.
+        *   `manager-web` updates its Vuex state store and user interface display based on the response results.
+
+*   **Configuration Synchronization (`manager-api` -> `xiaozhi-server`):**
+    *   The operation of `xiaozhi-server` depends on dynamic configurations obtained from `manager-api` (such as currently selected AI service providers and their API keys).
+    *   **Pull Mechanism:** The `config/manage_api_client.py` module within `xiaozhi-server`, when the server starts or through specific update triggers (e.g., when `WebSocketServer.update_config()` is called), will initiate an HTTP GET request to a specified endpoint of `manager-api` (e.g., provided by a Controller in `modules/config/controller/`).
+    *   `manager-api` responds to this request, returning the configuration data required by `xiaozhi-server` (in JSON format).
+    *   After receiving the configuration, `xiaozhi-server` will update its internal state and may reinitialize relevant AI service modules to make the new configuration effective.
+
+*   **OTA Firmware Update Flow (Conceptual Description):**
+    *   Administrators upload new ESP32 firmware packages to specific endpoints of `manager-api` through the `manager-web` interface.
+    *   `manager-api` stores the firmware files and records related metadata (version number, applicable device models, etc.).
+    *   When administrators trigger OTA updates for specific devices:
+        *   `manager-api` may notify `xiaozhi-server` (the specific notification mechanism may be a polling checkpoint, or `xiaozhi-server` exposes an API to receive update notifications, or more loosely coupled like message queues).
+        *   `xiaozhi-server` can then send an instruction message containing the firmware download URL to the target ESP32 device through WebSocket.
+        *   After receiving the instruction, the ESP32 device downloads the firmware through an HTTP GET request from that URL. This URL may point to a path served by the `SimpleHttpServer` running on `xiaozhi-server` itself (such as `/xiaozhi/ota/`), or in some architectures, it may directly point to `manager-api` or a dedicated file server.
+
+**4.3. Main Protocol Summary:**
+
+*   **WebSocket:** Selected for the communication link between ESP32 and `xiaozhi-server` because it is very suitable for real-time, low-latency, bidirectional data stream transmission (especially audio), as well as asynchronous control message delivery.
+*   **RESTful APIs (based on HTTP/HTTPS, usually using JSON as the data exchange format):** This is the standard way for web service communication. Used for request-response interactions between `manager-web` (client) and `manager-api` (server), and also for `xiaozhi-server` (as client) to pull configuration information from `manager-api` (as server). Its stateless nature, wide library support, and easy-to-understand semantics make it an ideal choice for such interactions.
+
+This multi-protocol communication strategy ensures that different types of interaction requirements within the system can be handled efficiently and appropriately, balancing real-time performance and standardized request-response patterns.
+
+---
+
+## 5. Key Features Summary
+
+The `xiaozhi-esp32-server` system provides a series of rich features aimed at supporting developers in building advanced voice control applications:
+
+1.  **Comprehensive Voice Interaction Backend:** Provides an end-to-end solution from voice capture guidance to response generation and action execution.
+2.  **Modular and Pluggable AI Services:**
+    *   Supports a wide range of ASR (Automatic Speech Recognition), LLM (Large Language Model), TTS (Text-to-Speech), VAD (Voice Activity Detection), Intent Recognition, and Memory providers.
+    *   Allows dynamic selection and configuration of these services (including cloud-based APIs and local models) to balance cost, performance, privacy, and language requirements.
+3.  **Advanced Dialogue Management:**
+    *   Supports natural interaction, with wake word to start dialogue, manual (push-to-talk) dialogue, and real-time interruption of system responses.
+    *   Includes contextual memory to maintain coherence in multi-turn dialogues.
+    *   Has automatic sleep mode after a period of inactivity.
+4.  **Multi-language Capabilities:**
+    *   Supports recognition and synthesis in multiple languages, including Mandarin, Cantonese, English, Japanese, and Korean (specific capabilities depend on the selected ASR/LLM/TTS providers).
+5.  **Extensible Functions through Plugins:**
+    *   Powerful plugin system allows developers to add custom "skills" or functions (e.g., getting weather, controlling smart home devices, accessing news).
+    *   These functions can be triggered by the LLM using its function calling capability, based on provided schemas.
+    *   Built-in support for Home Assistant integration.
+6.  **IoT Device Control:**
+    *   Designed to manage and control smart home devices and other IoT hardware through voice commands, utilizing the plugin system.
+7.  **Web-based Management Console (`manager-web` & `manager-api`):**
+    *   Provides a comprehensive graphical interface for:
+        *   System configuration (AI service selection, API keys, operation parameters).
+        *   Role-based access control user management.
+        *   ESP32 device registration and management.
+        *   Voice timbre/TTS voice customization.
+        *   OTA (Over-The-Air) firmware update management for ESP32 devices.
+        *   System parameter and dictionary management.
+8.  **Flexible Deployment Options:**
+    *   Supports deployment through Docker containers (for simplified server-only or full-stack setup) and directly from source code, adapting to various environments and user expertise.
+9.  **Dynamic Remote Configuration:**
+    *   `xiaozhi-server` can obtain its configuration from `manager-api`, allowing real-time updates of AI providers and settings without restarting the server.
+10. **Open Source and Community-Driven:**
+    *   Licensed under MIT License, encouraging transparency, collaboration, and community contribution.
+11. **Cost-Effective Solution:**
+    *   Provides an "Entry Level Free Settings" path, utilizing free tiers of AI services or local models, making it easy to experiment and for personal projects.
+12. **Progressive Web Application (PWA) Features:**
+    *   The `manager-web` control panel includes Service Worker integration to enhance caching and potential offline access capabilities.
+13. **Detailed API Documentation:**
+    *   `manager-api` provides OpenAPI (Swagger) documentation through Knife4j for clear understanding and testing of its RESTful endpoints.
+
+These features together make `xiaozhi-esp32-server` a powerful, adaptable, and user-friendly platform for building complex voice interaction applications.
+
+---
+
+## 6. Deployment and Configuration Overview
+
+The `xiaozhi-esp32-server` system is designed with flexibility in mind, providing multiple deployment methods and comprehensive configuration options to adapt to different usage scenarios and requirements.
+
+**Deployment Options:**
+
+The project can be deployed in multiple ways, mainly including using Docker to simplify the installation process, or deploying directly from source code for greater control and development.
+
+1.  **Docker-based Deployment:**
+    *   **Simplified Installation (Only `xiaozhi-server`):** This option only deploys the core Python-based `xiaozhi-server`. It is suitable for users who mainly need voice AI processing capabilities and IoT control, without requiring the complete Web management interface and database support functions (such as OTA). In this mode, configuration is typically managed through local files (`config.yaml`), but if needed, it can still point to an existing `manager-api` instance.
+    *   **Full Module Installation (All Components):** This scheme deploys all core components: `xiaozhi-server`, Java-based `manager-api`, and Vue.js-based `manager-web`, along with required database services (MySQL and Redis). This provides a complete system experience, including a Web control panel for comprehensive configuration and management.
+    *   The project provides `Dockerfile` definitions for each service and uses `docker-compose.yml` files (e.g., `docker-compose.yml` for basic version, `docker-compose_all.yml` for full-featured version) to orchestrate and manage multi-container deployment. Additionally, a `docker-setup.sh` script may be provided to assist in automating part of the Docker environment setup work.
+
+2.  **Source Code Deployment:**
+    *   This method requires manual setup of the corresponding development environment for each component: Python environment for `xiaozhi-server`, Java/Maven environment for `manager-api`, Node.js/Vue CLI environment for `manager-web`.
+    *   For full module installation, MySQL and Redis database services also need to be manually installed and configured.
+    *   This approach is typically used for project development, deep customization, debugging, or in production scenarios with special environmental requirements.
+
+**Configuration Management:**
+
+Configuration is key to customizing system behavior, especially in selecting AI service providers and managing API keys.
+
+1.  **`xiaozhi-server` Configuration:**
+    *   **Local `config.yaml`:** A main YAML format configuration file located in the `xiaozhi-server` root directory. It defines server ports, selected AI service providers (ASR, LLM, TTS, VAD, Intent Recognition, Memory modules, etc.), their respective API keys or model paths, plugin configurations, and log levels.
+    *   **Remote Configuration through `manager-api`:** `xiaozhi-server` is designed to obtain its operation configuration from `manager-api`. Settings obtained from `manager-api` typically override settings with the same name in the local `config.yaml`. This brings two major benefits:
+        *   **Centralized Management:** All configurations can be managed uniformly through the `manager-web` interface.
+        *   **Dynamic Updates:** `xiaozhi-server` can refresh its configuration and reinitialize AI modules without completely restarting the service.
+    *   `config/config_loader.py` and `config/manage_api_client.py` in `xiaozhi-server` are responsible for handling configuration loading, merging, and pulling logic from `manager-api`.
+
+2.  **`manager-api` Configuration:**
+    *   As a Spring Boot application, its configuration is mainly managed through the `application.properties` or `application.yml` file located in the `src/main/resources` directory.
+    *   Key configuration items include: database connection information (MySQL URL, username, password), Redis server address and port, application service port (default 8002), Apache Shiro security-related settings, and configuration parameters for any integrated third-party services (such as Aliyun SMS).
+
+3.  **`manager-web` Configuration:**
+    *   Environment-specific settings for the Vue.js frontend application are managed through `.env` series files (e.g., `.env`, `.env.development`, `.env.production`) in the project root directory.
+    *   The most critical configuration here is usually the API base URL address of the `manager-api` backend (e.g., `VUE_APP_API_BASE_URL`), to which the frontend application will send all API requests.
+
+4.  **Predefined Configuration Schemes:**
+    *   The project documentation (usually README) will recommend some common configuration combinations, for example:
+        *   **"Entry Level Free Settings":** This scheme aims to utilize free tier quotas of cloud AI services or completely free local models to minimize users' initial usage costs and operating expenses.
+        *   **"Full Streaming Configuration":** This scheme prioritizes system response speed and interaction fluency, typically choosing AI services that support streaming processing (possibly paid).
+    *   These predefined schemes provide guidance for users to configure AI service providers in `xiaozhi-server` (through the `manager-web` interface or directly modifying `config.yaml`).
+
+In the case of full module deployment, it is recommended to use the `manager-web` control panel as the main operation interface for most configuration tasks, as it provides a user-friendly way to manage various settings that are persisted by `manager-api` and ultimately used by `xiaozhi-server`.
+
+---

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

@@ -227,7 +227,7 @@ public interface Constant {
     /**
      * 版本号
      */
-    public static final String VERSION = "0.5.4";
+    public static final String VERSION = "0.5.8";
 
     /**
      * 无效固件URL

main/manager-api/src/main/java/xiaozhi/common/utils/ResultUtils.java

@@ -0,0 +1,31 @@
+package xiaozhi.common.utils;
+
+/**
+ * 返回响应体工具类
+ */
+public class ResultUtils
+{
+    public static <T> Result<T> success(T data) {
+        return new Result<T>().ok(data);
+    }
+
+    public static <T> Result<T> error() {
+        return new Result<T>().error();
+    }
+
+    public static <T> Result<T> error(String msg) {
+        return new Result<T>().error(msg);
+    }
+
+    public static <T> Result<T> error(int errorCode, String msg) {
+        return new Result<T>().error(errorCode, msg);
+    }
+
+    public static <T> Result<T> error(int errorCode) {
+        return new Result<T>().error(errorCode);
+    }
+
+    public static <T> Result<T> empty() {
+        return new Result<T>();
+    }
+}

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

@@ -1,6 +1,5 @@
 package xiaozhi.modules.agent.controller;
 
-import java.util.Date;
 import java.util.List;
 import java.util.Map;
 import java.util.UUID;
@@ -33,8 +32,8 @@ import xiaozhi.common.page.PageData;
 import xiaozhi.common.redis.RedisKeys;
 import xiaozhi.common.redis.RedisUtils;
 import xiaozhi.common.user.UserDetail;
-import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.Result;
+import xiaozhi.common.utils.ResultUtils;
 import xiaozhi.modules.agent.dto.AgentChatHistoryDTO;
 import xiaozhi.modules.agent.dto.AgentChatSessionDTO;
 import xiaozhi.modules.agent.dto.AgentCreateDTO;
@@ -45,8 +44,10 @@ 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.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.AgentTemplateService;
+import xiaozhi.modules.agent.vo.AgentInfoVO;
 import xiaozhi.modules.device.entity.DeviceEntity;
 import xiaozhi.modules.device.service.DeviceService;
 import xiaozhi.modules.security.user.SecurityUser;
@@ -61,6 +62,7 @@ public class AgentController {
     private final DeviceService deviceService;
     private final AgentChatHistoryService agentChatHistoryService;
     private final AgentChatAudioService agentChatAudioService;
+    private final AgentPluginMappingService agentPluginMappingService;
     private final RedisUtils redisUtils;
 
     @GetMapping("/list")
@@ -88,45 +90,17 @@ public class AgentController {
     @GetMapping("/{id}")
     @Operation(summary = "获取智能体详情")
     @RequiresPermissions("sys:role:normal")
-    public Result<AgentEntity> getAgentById(@PathVariable("id") String id) {
+    public Result<AgentInfoVO> getAgentById(@PathVariable("id") String id) {
-        AgentEntity agent = agentService.getAgentById(id);
+        AgentInfoVO agent = agentService.getAgentById(id);
-        return new Result<AgentEntity>().ok(agent);
+        return ResultUtils.success(agent);
     }
 
     @PostMapping
     @Operation(summary = "创建智能体")
     @RequiresPermissions("sys:role:normal")
     public Result<String> save(@RequestBody @Valid AgentCreateDTO dto) {
-        AgentEntity entity = ConvertUtils.sourceToTarget(dto, AgentEntity.class);
+        String agentId = agentService.createAgent(dto);
-
+        return new Result<String>().ok(agentId);
-        // 获取默认模板
-        AgentTemplateEntity template = agentTemplateService.getDefaultTemplate();
-        if (template != null) {
-            // 设置模板中的默认值
-            entity.setAsrModelId(template.getAsrModelId());
-            entity.setVadModelId(template.getVadModelId());
-            entity.setLlmModelId(template.getLlmModelId());
-            entity.setTtsModelId(template.getTtsModelId());
-            entity.setTtsVoiceId(template.getTtsVoiceId());
-            entity.setMemModelId(template.getMemModelId());
-            entity.setIntentModelId(template.getIntentModelId());
-            entity.setSystemPrompt(template.getSystemPrompt());
-            entity.setSummaryMemory(template.getSummaryMemory());
-            entity.setChatHistoryConf(template.getChatHistoryConf());
-            entity.setLangCode(template.getLangCode());
-            entity.setLanguage(template.getLanguage());
-        }
-
-        // 设置用户ID和创建者信息
-        UserDetail user = SecurityUser.getUser();
-        entity.setUserId(user.getId());
-        entity.setCreator(user.getId());
-        entity.setCreatedAt(new Date());
-
-        // ID、智能体编码和排序会在Service层自动生成
-        agentService.insert(entity);
-
-        return new Result<String>().ok(entity.getId());
     }
 
     @PutMapping("/saveMemory/{macAddress}")
@@ -138,88 +112,15 @@ public class AgentController {
         }
         AgentUpdateDTO agentUpdateDTO = new AgentUpdateDTO();
         agentUpdateDTO.setSummaryMemory(dto.getSummaryMemory());
-        return updateAgentById(device.getAgentId(), agentUpdateDTO);
+        agentService.updateAgentById(device.getAgentId(), agentUpdateDTO);
+        return new Result<>();
     }
 
     @PutMapping("/{id}")
     @Operation(summary = "更新智能体")
     @RequiresPermissions("sys:role:normal")
     public Result<Void> update(@PathVariable String id, @RequestBody @Valid AgentUpdateDTO dto) {
-        return updateAgentById(id, dto);
+        agentService.updateAgentById(id, dto);
-    }
-
-    private Result<Void> updateAgentById(String id, AgentUpdateDTO dto) {
-        // 先查询现有实体
-        AgentEntity existingEntity = agentService.getAgentById(id);
-        if (existingEntity == null) {
-            return new Result<Void>().error("智能体不存在");
-        }
-
-        // 只更新提供的非空字段
-        if (dto.getAgentName() != null) {
-            existingEntity.setAgentName(dto.getAgentName());
-        }
-        if (dto.getAgentCode() != null) {
-            existingEntity.setAgentCode(dto.getAgentCode());
-        }
-        if (dto.getAsrModelId() != null) {
-            existingEntity.setAsrModelId(dto.getAsrModelId());
-        }
-        if (dto.getVadModelId() != null) {
-            existingEntity.setVadModelId(dto.getVadModelId());
-        }
-        if (dto.getLlmModelId() != null) {
-            existingEntity.setLlmModelId(dto.getLlmModelId());
-        }
-        if (dto.getVllmModelId() != null) {
-            existingEntity.setVllmModelId(dto.getVllmModelId());
-        }
-        if (dto.getTtsModelId() != null) {
-            existingEntity.setTtsModelId(dto.getTtsModelId());
-        }
-        if (dto.getTtsVoiceId() != null) {
-            existingEntity.setTtsVoiceId(dto.getTtsVoiceId());
-        }
-        if (dto.getMemModelId() != null) {
-            existingEntity.setMemModelId(dto.getMemModelId());
-        }
-        if (dto.getIntentModelId() != null) {
-            existingEntity.setIntentModelId(dto.getIntentModelId());
-        }
-        if (dto.getSystemPrompt() != null) {
-            existingEntity.setSystemPrompt(dto.getSystemPrompt());
-        }
-        if (dto.getSummaryMemory() != null) {
-            existingEntity.setSummaryMemory(dto.getSummaryMemory());
-        }
-        if (dto.getChatHistoryConf() != null) {
-            existingEntity.setChatHistoryConf(dto.getChatHistoryConf());
-        }
-        if (dto.getLangCode() != null) {
-            existingEntity.setLangCode(dto.getLangCode());
-        }
-        if (dto.getLanguage() != null) {
-            existingEntity.setLanguage(dto.getLanguage());
-        }
-        if (dto.getSort() != null) {
-            existingEntity.setSort(dto.getSort());
-        }
-
-        // 设置更新者信息
-        UserDetail user = SecurityUser.getUser();
-        existingEntity.setUpdater(user.getId());
-        existingEntity.setUpdatedAt(new Date());
-
-        // 更新记忆策略
-        if (existingEntity.getMemModelId() == null || existingEntity.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
-            // 删除所有记录
-            agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, true);
-            existingEntity.setSummaryMemory("");
-        } else if (existingEntity.getChatHistoryConf() != null && existingEntity.getChatHistoryConf() == 1) {
-            // 删除音频数据
-            agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, false);
-        }
-        agentService.updateById(existingEntity);
         return new Result<>();
     }
 
@@ -231,6 +132,8 @@ public class AgentController {
         deviceService.deleteByAgentId(id);
         // 删除关联的聊天记录
         agentChatHistoryService.deleteByAgentId(id, true, true);
+        // 删除关联的插件
+        agentPluginMappingService.deleteByAgentId(id);
         // 再删除智能体
         agentService.deleteById(id);
         return new Result<>();

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

@@ -6,6 +6,7 @@ import org.apache.ibatis.annotations.Param;
 import org.apache.ibatis.annotations.Select;
 import xiaozhi.common.dao.BaseDao;
 import xiaozhi.modules.agent.entity.AgentEntity;
+import xiaozhi.modules.agent.vo.AgentInfoVO;
 
 @Mapper
 public interface AgentDao extends BaseDao<AgentEntity> {
@@ -28,4 +29,11 @@ public interface AgentDao extends BaseDao<AgentEntity> {
             " WHERE d.mac_address = #{macAddress} " +
             " ORDER BY d.id DESC LIMIT 1")
     AgentEntity getDefaultAgentByMacAddress(@Param("macAddress") String macAddress);
+
+    /**
+     * 根据id查询agent信息，包括插件信息
+     *
+     * @param agentId 智能体ID
+     */
+    AgentInfoVO selectAgentInfoById(@Param("agentId") String agentId);
 }

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

@@ -0,0 +1,22 @@
+package xiaozhi.modules.agent.dao;
+
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+import xiaozhi.modules.agent.entity.AgentPluginMapping;
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+
+import java.util.List;
+
+/**
+* @description 针对表【ai_agent_plugin_mapping(Agent与插件的唯一映射表)】的数据库操作Mapper
+* @createDate 2025-05-25 22:33:17
+* @Entity xiaozhi.modules.agent.entity.AgentPluginMapping
+*/
+@Mapper
+public interface AgentPluginMappingMapper extends BaseMapper<AgentPluginMapping> {
+    List<AgentPluginMapping> selectPluginsByAgentId(@Param("agentId") String agentId);
+}
+
+
+
+

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

@@ -1,6 +1,8 @@
 package xiaozhi.modules.agent.dto;
 
 import java.io.Serializable;
+import java.util.HashMap;
+import java.util.List;
 
 import io.swagger.v3.oas.annotations.media.Schema;
 import lombok.Data;
@@ -15,19 +17,19 @@ import lombok.Data;
 public class AgentUpdateDTO implements Serializable {
     private static final long serialVersionUID = 1L;
 
-    @Schema(description = "智能体编码", example = "AGT_1234567890", required = false)
+    @Schema(description = "智能体编码", example = "AGT_1234567890", nullable = true)
     private String agentCode;
 
-    @Schema(description = "智能体名称", example = "客服助手", required = false)
+    @Schema(description = "智能体名称", example = "客服助手", nullable = true)
     private String agentName;
 
-    @Schema(description = "语音识别模型标识", example = "asr_model_02", required = false)
+    @Schema(description = "语音识别模型标识", example = "asr_model_02", nullable = true)
     private String asrModelId;
 
-    @Schema(description = "语音活动检测标识", example = "vad_model_02", required = false)
+    @Schema(description = "语音活动检测标识", example = "vad_model_02", nullable = true)
     private String vadModelId;
 
-    @Schema(description = "大语言模型标识", example = "llm_model_02", required = false)
+    @Schema(description = "大语言模型标识", example = "llm_model_02", nullable = true)
     private String llmModelId;
 
     @Schema(description = "VLLM模型标识", example = "vllm_model_02", required = false)
@@ -36,31 +38,46 @@ public class AgentUpdateDTO implements Serializable {
     @Schema(description = "语音合成模型标识", example = "tts_model_02", required = false)
     private String ttsModelId;
 
-    @Schema(description = "音色标识", example = "voice_02", required = false)
+    @Schema(description = "音色标识", example = "voice_02", nullable = true)
     private String ttsVoiceId;
 
-    @Schema(description = "记忆模型标识", example = "mem_model_02", required = false)
+    @Schema(description = "记忆模型标识", example = "mem_model_02", nullable = true)
     private String memModelId;
 
-    @Schema(description = "意图模型标识", example = "intent_model_02", required = false)
+    @Schema(description = "意图模型标识", example = "intent_model_02", nullable = true)
     private String intentModelId;
 
-    @Schema(description = "角色设定参数", example = "你是一个专业的客服助手，负责回答用户问题并提供帮助", required = false)
+    @Schema(description = "插件函数信息", nullable = true)
+    private List<FunctionInfo> functions;
+
+    @Schema(description = "角色设定参数", example = "你是一个专业的客服助手，负责回答用户问题并提供帮助", nullable = true)
     private String systemPrompt;
 
-    @Schema(description = "总结记忆", example = "构建可生长的动态记忆网络，在有限空间内保留关键信息的同时，智能维护信息演变轨迹\n" +
+    @Schema(description = "总结记忆", example = "构建可生长的动态记忆网络，在有限空间内保留关键信息的同时，智能维护信息演变轨迹\n"
-            "根据对话记录，总结user的重要信息，以便在未来的对话中提供更个性化的服务", required = false)
+            + "根据对话记录，总结user的重要信息，以便在未来的对话中提供更个性化的服务", nullable = true)
     private String summaryMemory;
 
-    @Schema(description = "聊天记录配置（0不记录 1仅记录文本 2记录文本和语音）", example = "3", required = false)
+    @Schema(description = "聊天记录配置（0不记录 1仅记录文本 2记录文本和语音）", example = "3", nullable = true)
     private Integer chatHistoryConf;
 
-    @Schema(description = "语言编码", example = "zh_CN", required = false)
+    @Schema(description = "语言编码", example = "zh_CN", nullable = true)
     private String langCode;
 
-    @Schema(description = "交互语种", example = "中文", required = false)
+    @Schema(description = "交互语种", example = "中文", nullable = true)
     private String language;
 
-    @Schema(description = "排序", example = "1", required = false)
+    @Schema(description = "排序", example = "1", nullable = true)
     private Integer sort;
+
+    @Data
+    @Schema(description = "插件函数信息")
+    public static class FunctionInfo implements Serializable {
+        @Schema(description = "插件ID", example = "plugin_01")
+        private String pluginId;
+
+        @Schema(description = "函数参数信息", nullable = true)
+        private HashMap<String, Object> paramInfo;
+
+        private static final long serialVersionUID = 1L;
+    }
 }

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

@@ -0,0 +1,54 @@
+package xiaozhi.modules.agent.entity;
+
+import java.io.Serializable;
+
+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 io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/**
+ * Agent与插件的唯一映射表
+ * 
+ * @TableName ai_agent_plugin_mapping
+ */
+@Data
+@TableName(value = "ai_agent_plugin_mapping")
+@Schema(description = "Agent与插件的唯一映射表")
+public class AgentPluginMapping implements Serializable {
+    /**
+     * 主键
+     */
+    @TableId(type = IdType.ASSIGN_ID)
+    @Schema(description = "映射信息主键ID")
+    private Long id;
+
+    /**
+     * 智能体ID
+     */
+    @Schema(description = "智能体ID")
+    private String agentId;
+
+    /**
+     * 插件ID
+     */
+    @Schema(description = "插件ID")
+    private String pluginId;
+
+    /**
+     * 插件参数(Json)格式
+     */
+    @Schema(description = "插件参数(Json)格式")
+    private String paramInfo;
+
+    // 冗余字段，用于方便在根据id查询插件时，对照查出插件的Provider_code,详见dao层xml文件
+    @TableField(exist = false)
+    @Schema(description = "插件provider_code, 对应表ai_model_provider")
+    private String providerCode;
+
+    @TableField(exist = false)
+    private static final long serialVersionUID = 1L;
+}

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

@@ -0,0 +1,29 @@
+package xiaozhi.modules.agent.service;
+
+import java.util.List;
+
+import com.baomidou.mybatisplus.extension.service.IService;
+
+import xiaozhi.modules.agent.entity.AgentPluginMapping;
+
+/**
+ * @description 针对表【ai_agent_plugin_mapping(Agent与插件的唯一映射表)】的数据库操作Service
+ * @createDate 2025-05-25 22:33:17
+ */
+public interface AgentPluginMappingService extends IService<AgentPluginMapping> {
+
+    /**
+     * 根据智能体id获取插件参数
+     * 
+     * @param agentId
+     * @return
+     */
+    List<AgentPluginMapping> agentPluginParamsByAgentId(String agentId);
+
+    /**
+     * 根据智能体id删除插件参数
+     * 
+     * @param agentId
+     */
+    void deleteByAgentId(String agentId);
+}

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

@@ -5,8 +5,11 @@ import java.util.Map;
 
 import xiaozhi.common.page.PageData;
 import xiaozhi.common.service.BaseService;
+import xiaozhi.modules.agent.dto.AgentCreateDTO;
 import xiaozhi.modules.agent.dto.AgentDTO;
+import xiaozhi.modules.agent.dto.AgentUpdateDTO;
 import xiaozhi.modules.agent.entity.AgentEntity;
+import xiaozhi.modules.agent.vo.AgentInfoVO;
 
 /**
  * 智能体表处理service
@@ -30,7 +33,7 @@ public interface AgentService extends BaseService<AgentEntity> {
      * @param id 智能体ID
      * @return 智能体实体
      */
-    AgentEntity getAgentById(String id);
+    AgentInfoVO getAgentById(String id);
 
     /**
      * 插入智能体
@@ -79,4 +82,20 @@ public interface AgentService extends BaseService<AgentEntity> {
      * @return 是否有权限
      */
     boolean checkAgentPermission(String agentId, Long userId);
+
+    /**
+     * 更新智能体
+     *
+     * @param agentId 智能体ID
+     * @param dto     更新智能体所需的信息
+     */
+    void updateAgentById(String agentId, AgentUpdateDTO dto);
+
+    /**
+     * 创建智能体
+     *
+     * @param dto 创建智能体所需的信息
+     * @return 创建的智能体ID
+     */
+    String createAgent(AgentCreateDTO dto);
 }

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

@@ -0,0 +1,37 @@
+package xiaozhi.modules.agent.service.impl;
+
+import java.util.List;
+
+import org.springframework.stereotype.Service;
+
+import com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper;
+import com.baomidou.mybatisplus.extension.service.impl.ServiceImpl;
+
+import lombok.RequiredArgsConstructor;
+import xiaozhi.modules.agent.dao.AgentPluginMappingMapper;
+import xiaozhi.modules.agent.entity.AgentPluginMapping;
+import xiaozhi.modules.agent.service.AgentPluginMappingService;
+
+/**
+ * @description 针对表【ai_agent_plugin_mapping(Agent与插件的唯一映射表)】的数据库操作Service实现
+ * @createDate 2025-05-25 22:33:17
+ */
+@Service
+@RequiredArgsConstructor
+public class AgentPluginMappingServiceImpl extends ServiceImpl<AgentPluginMappingMapper, AgentPluginMapping>
+        implements AgentPluginMappingService {
+    private final AgentPluginMappingMapper agentPluginMappingMapper;
+
+    @Override
+    public List<AgentPluginMapping> agentPluginParamsByAgentId(String agentId) {
+        return agentPluginMappingMapper.selectPluginsByAgentId(agentId);
+    }
+
+    @Override
+    public void deleteByAgentId(String agentId) {
+        UpdateWrapper<AgentPluginMapping> updateWrapper = new UpdateWrapper<>();
+        updateWrapper.eq("agent_id", agentId);
+        agentPluginMappingMapper.delete(updateWrapper);
+    }
+
+}

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

@@ -1,12 +1,17 @@
 package xiaozhi.modules.agent.service.impl;
 
+import java.util.ArrayList;
+import java.util.Date;
+import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.UUID;
+import java.util.function.Function;
 import java.util.stream.Collectors;
 
 import org.apache.commons.lang3.StringUtils;
 import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
 
 import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
 import com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper;
@@ -14,16 +19,30 @@ import com.baomidou.mybatisplus.core.metadata.IPage;
 
 import lombok.AllArgsConstructor;
 import xiaozhi.common.constant.Constant;
+import xiaozhi.common.exception.RenException;
 import xiaozhi.common.page.PageData;
 import xiaozhi.common.redis.RedisKeys;
 import xiaozhi.common.redis.RedisUtils;
 import xiaozhi.common.service.impl.BaseServiceImpl;
+import xiaozhi.common.user.UserDetail;
+import xiaozhi.common.utils.ConvertUtils;
+import xiaozhi.common.utils.JsonUtils;
 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.AgentEntity;
+import xiaozhi.modules.agent.entity.AgentPluginMapping;
+import xiaozhi.modules.agent.entity.AgentTemplateEntity;
+import xiaozhi.modules.agent.service.AgentChatHistoryService;
+import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
+import xiaozhi.modules.agent.service.AgentTemplateService;
+import xiaozhi.modules.agent.vo.AgentInfoVO;
 import xiaozhi.modules.device.service.DeviceService;
+import xiaozhi.modules.model.dto.ModelProviderDTO;
 import xiaozhi.modules.model.service.ModelConfigService;
+import xiaozhi.modules.model.service.ModelProviderService;
 import xiaozhi.modules.security.user.SecurityUser;
 import xiaozhi.modules.sys.enums.SuperAdminEnum;
 import xiaozhi.modules.timbre.service.TimbreService;
@@ -36,6 +55,10 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
     private final ModelConfigService modelConfigService;
     private final RedisUtils redisUtils;
     private final DeviceService deviceService;
+    private final AgentPluginMappingService agentPluginMappingService;
+    private final AgentChatHistoryService agentChatHistoryService;
+    private final AgentTemplateService agentTemplateService;
+    private final ModelProviderService modelProviderService;
 
     @Override
     public PageData<AgentEntity> adminAgentList(Map<String, Object> params) {
@@ -46,15 +69,20 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
     }
 
     @Override
-    public AgentEntity getAgentById(String id) {
+    public AgentInfoVO getAgentById(String id) {
-        AgentEntity agent = agentDao.selectById(id);
+        AgentInfoVO agent = agentDao.selectAgentInfoById(id);
-        if (agent != null && agent.getMemModelId() != null && agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
+
-            agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.IGNORE.getCode());
+        if (agent == null) {
-        } else if (agent != null && agent.getMemModelId() != null
+            throw new RenException("智能体不存在");
-                && !agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)
-                && agent.getChatHistoryConf() == null) {
-            agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode());
         }
+
+        if (agent.getMemModelId() != null && agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
+            agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.IGNORE.getCode());
+            if (agent.getChatHistoryConf() == null) {
+                agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode());
+            }
+        }
+        // 无需额外查询插件列表，已通过SQL查询出来
         return agent;
     }
 
@@ -167,4 +195,198 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
         // 检查是否是智能体的所有者
         return userId.equals(agent.getUserId());
     }
+
+    // 根据id更新智能体信息
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public void updateAgentById(String agentId, AgentUpdateDTO dto) {
+        // 先查询现有实体
+        AgentEntity existingEntity = this.getAgentById(agentId);
+        if (existingEntity == null) {
+            throw new RuntimeException("智能体不存在");
+        }
+
+        // 只更新提供的非空字段
+        if (dto.getAgentName() != null) {
+            existingEntity.setAgentName(dto.getAgentName());
+        }
+        if (dto.getAgentCode() != null) {
+            existingEntity.setAgentCode(dto.getAgentCode());
+        }
+        if (dto.getAsrModelId() != null) {
+            existingEntity.setAsrModelId(dto.getAsrModelId());
+        }
+        if (dto.getVadModelId() != null) {
+            existingEntity.setVadModelId(dto.getVadModelId());
+        }
+        if (dto.getLlmModelId() != null) {
+            existingEntity.setLlmModelId(dto.getLlmModelId());
+        }
+        if (dto.getVllmModelId() != null) {
+            existingEntity.setVllmModelId(dto.getVllmModelId());
+        }
+        if (dto.getTtsModelId() != null) {
+            existingEntity.setTtsModelId(dto.getTtsModelId());
+        }
+        if (dto.getTtsVoiceId() != null) {
+            existingEntity.setTtsVoiceId(dto.getTtsVoiceId());
+        }
+        if (dto.getMemModelId() != null) {
+            existingEntity.setMemModelId(dto.getMemModelId());
+        }
+        if (dto.getIntentModelId() != null) {
+            existingEntity.setIntentModelId(dto.getIntentModelId());
+        }
+        if (dto.getSystemPrompt() != null) {
+            existingEntity.setSystemPrompt(dto.getSystemPrompt());
+        }
+        if (dto.getSummaryMemory() != null) {
+            existingEntity.setSummaryMemory(dto.getSummaryMemory());
+        }
+        if (dto.getChatHistoryConf() != null) {
+            existingEntity.setChatHistoryConf(dto.getChatHistoryConf());
+        }
+        if (dto.getLangCode() != null) {
+            existingEntity.setLangCode(dto.getLangCode());
+        }
+        if (dto.getLanguage() != null) {
+            existingEntity.setLanguage(dto.getLanguage());
+        }
+        if (dto.getSort() != null) {
+            existingEntity.setSort(dto.getSort());
+        }
+
+        // 更新函数插件信息
+        List<AgentUpdateDTO.FunctionInfo> functions = dto.getFunctions();
+        if (functions != null) {
+            // 1. 收集本次提交的 pluginId
+            List<String> newPluginIds = functions.stream()
+                    .map(AgentUpdateDTO.FunctionInfo::getPluginId)
+                    .toList();
+
+            // 2. 查询当前agent现有的所有映射
+            List<AgentPluginMapping> existing = agentPluginMappingService.list(
+                    new QueryWrapper<AgentPluginMapping>()
+                            .eq("agent_id", agentId));
+            Map<String, AgentPluginMapping> existMap = existing.stream()
+                    .collect(Collectors.toMap(AgentPluginMapping::getPluginId, Function.identity()));
+
+            // 3. 构造所有要 保存或更新 的实体
+            List<AgentPluginMapping> allToPersist = functions.stream().map(info -> {
+                AgentPluginMapping m = new AgentPluginMapping();
+                m.setAgentId(agentId);
+                m.setPluginId(info.getPluginId());
+                m.setParamInfo(JsonUtils.toJsonString(info.getParamInfo()));
+                AgentPluginMapping old = existMap.get(info.getPluginId());
+                if (old != null) {
+                    // 已存在，设置id表示更新
+                    m.setId(old.getId());
+                }
+                return m;
+            }).toList();
+
+            // 4. 拆分：已有ID的走更新，无ID的走插入
+            List<AgentPluginMapping> toUpdate = allToPersist.stream()
+                    .filter(m -> m.getId() != null)
+                    .toList();
+            List<AgentPluginMapping> toInsert = allToPersist.stream()
+                    .filter(m -> m.getId() == null)
+                    .toList();
+
+            if (!toUpdate.isEmpty()) {
+                agentPluginMappingService.updateBatchById(toUpdate);
+            }
+            if (!toInsert.isEmpty()) {
+                agentPluginMappingService.saveBatch(toInsert);
+            }
+
+            // 5. 删除本次不在提交列表里的插件映射
+            List<Long> toDelete = existing.stream()
+                    .filter(old -> !newPluginIds.contains(old.getPluginId()))
+                    .map(AgentPluginMapping::getId)
+                    .toList();
+            if (!toDelete.isEmpty()) {
+                agentPluginMappingService.removeBatchByIds(toDelete);
+            }
+        }
+
+        // 设置更新者信息
+        UserDetail user = SecurityUser.getUser();
+        existingEntity.setUpdater(user.getId());
+        existingEntity.setUpdatedAt(new Date());
+
+        // 更新记忆策略
+        if (existingEntity.getMemModelId() == null || existingEntity.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
+            // 删除所有记录
+            agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, true);
+            existingEntity.setSummaryMemory("");
+        } else if (existingEntity.getChatHistoryConf() != null && existingEntity.getChatHistoryConf() == 1) {
+            // 删除音频数据
+            agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, false);
+        }
+        this.updateById(existingEntity);
+    }
+
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public String createAgent(AgentCreateDTO dto) {
+        // 转换为实体
+        AgentEntity entity = ConvertUtils.sourceToTarget(dto, AgentEntity.class);
+
+        // 获取默认模板
+        AgentTemplateEntity template = agentTemplateService.getDefaultTemplate();
+        if (template != null) {
+            // 设置模板中的默认值
+            entity.setAsrModelId(template.getAsrModelId());
+            entity.setVadModelId(template.getVadModelId());
+            entity.setLlmModelId(template.getLlmModelId());
+            entity.setVllmModelId(template.getVllmModelId());
+            entity.setTtsModelId(template.getTtsModelId());
+            entity.setTtsVoiceId(template.getTtsVoiceId());
+            entity.setMemModelId(template.getMemModelId());
+            entity.setIntentModelId(template.getIntentModelId());
+            entity.setSystemPrompt(template.getSystemPrompt());
+            entity.setSummaryMemory(template.getSummaryMemory());
+            entity.setChatHistoryConf(template.getChatHistoryConf());
+            entity.setLangCode(template.getLangCode());
+            entity.setLanguage(template.getLanguage());
+        }
+
+        // 设置用户ID和创建者信息
+        UserDetail user = SecurityUser.getUser();
+        entity.setUserId(user.getId());
+        entity.setCreator(user.getId());
+        entity.setCreatedAt(new Date());
+
+        // 保存智能体
+        insert(entity);
+
+        // 设置默认插件
+        List<AgentPluginMapping> toInsert = new ArrayList<>();
+        // 播放音乐、查天气、查新闻
+        String[] pluginIds = new String[] { "SYSTEM_PLUGIN_MUSIC", "SYSTEM_PLUGIN_WEATHER",
+                "SYSTEM_PLUGIN_NEWS_NEWSNOW" };
+        for (String pluginId : pluginIds) {
+            ModelProviderDTO provider = modelProviderService.getById(pluginId);
+            if (provider == null) {
+                continue;
+            }
+            AgentPluginMapping mapping = new AgentPluginMapping();
+            mapping.setPluginId(pluginId);
+
+            Map<String, Object> paramInfo = new HashMap<>();
+            List<Map<String, Object>> fields = JsonUtils.parseObject(provider.getFields(), List.class);
+            if (fields != null) {
+                for (Map<String, Object> field : fields) {
+                    paramInfo.put((String) field.get("key"), field.get("default"));
+                }
+            }
+            mapping.setParamInfo(JsonUtils.toJsonString(paramInfo));
+            mapping.setAgentId(entity.getId());
+            toInsert.add(mapping);
+        }
+        // 保存默认插件
+        agentPluginMappingService.saveBatch(toInsert);
+        return entity.getId();
+    }
 }

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

@@ -56,6 +56,9 @@ public class AgentTemplateServiceImpl extends ServiceImpl<AgentTemplateDao, Agen
                 wrapper.set("tts_model_id", modelId);
                 wrapper.set("tts_voice_id", null);
                 break;
+            case "VLLM":
+                wrapper.set("vllm_model_id", modelId);
+                break;
             case "MEMORY":
                 wrapper.set("mem_model_id", modelId);
                 break;

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

@@ -0,0 +1,24 @@
+package xiaozhi.modules.agent.vo;
+
+import com.baomidou.mybatisplus.annotation.TableField;
+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.entity.AgentEntity;
+import xiaozhi.modules.agent.entity.AgentPluginMapping;
+
+import java.util.List;
+
+/**
+ * Agent信息返回体VO
+ * 这里直接extend了Agent实体类AgentEntity，后续需要规范返回字段可以copy字段出来
+ */
+@EqualsAndHashCode(callSuper = true)
+@Data
+public class AgentInfoVO extends AgentEntity
+{
+    @Schema(description = "插件列表Id")
+    @TableField(typeHandler = JacksonTypeHandler.class)
+    private List<AgentPluginMapping> functions;
+}

main/manager-api/src/main/java/xiaozhi/modules/config/controller/ConfigController.java

@@ -27,7 +27,7 @@ public class ConfigController {
     private final ConfigService configService;
 
     @PostMapping("server-base")
-    @Operation(summary = "获取配置")
+    @Operation(summary = "服务端获取配置接口")
     public Result<Object> getConfig() {
         Object config = configService.getConfig(true);
         return new Result<Object>().ok(config);

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

@@ -1,9 +1,6 @@
 package xiaozhi.modules.config.service.impl;
 
-import java.util.ArrayList;
+import java.util.*;
-import java.util.HashMap;
-import java.util.List;
-import java.util.Map;
 
 import org.apache.commons.lang3.StringUtils;
 import org.springframework.stereotype.Service;
@@ -16,7 +13,9 @@ import xiaozhi.common.redis.RedisKeys;
 import xiaozhi.common.redis.RedisUtils;
 import xiaozhi.common.utils.JsonUtils;
 import xiaozhi.modules.agent.entity.AgentEntity;
+import xiaozhi.modules.agent.entity.AgentPluginMapping;
 import xiaozhi.modules.agent.entity.AgentTemplateEntity;
+import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.AgentTemplateService;
 import xiaozhi.modules.config.service.ConfigService;
@@ -39,6 +38,7 @@ public class ConfigServiceImpl implements ConfigService {
     private final AgentTemplateService agentTemplateService;
     private final RedisUtils redisUtils;
     private final TimbreService timbreService;
+    private final AgentPluginMappingService agentPluginMappingService;
 
     @Override
     public Object getConfig(Boolean isCache) {
@@ -132,6 +132,19 @@ public class ConfigServiceImpl implements ConfigService {
             agent.setAsrModelId(null);
         }
 
+        // 添加函数调用参数信息
+        if (!Objects.equals(agent.getIntentModelId(), "Intent_nointent")) {
+            String agentId = agent.getId();
+            List<AgentPluginMapping> pluginMappings = agentPluginMappingService.agentPluginParamsByAgentId(agentId);
+            if (pluginMappings != null && !pluginMappings.isEmpty()) {
+                Map<String, Object> pluginParams = new HashMap<>();
+                for (AgentPluginMapping pluginMapping : pluginMappings) {
+                    pluginParams.put(pluginMapping.getProviderCode(), pluginMapping.getParamInfo());
+                }
+                result.put("plugins", pluginParams);
+            }
+        }
+
         // 构建模块配置
         buildModuleConfig(
                 agent.getAgentName(),
@@ -284,6 +297,7 @@ public class ConfigServiceImpl implements ConfigService {
                             map.put("functions", functions);
                         }
                     }
+                    System.out.println("map: " + map);
                 }
                 if ("Memory".equals(modelTypes[i])) {
                     Map<String, Object> map = (Map<String, Object>) model.getConfigJson();

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

@@ -4,6 +4,7 @@ import java.util.List;
 
 import org.apache.commons.lang3.StringUtils;
 import org.apache.shiro.authz.annotation.RequiresPermissions;
+import org.springframework.beans.BeanUtils;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PathVariable;
 import org.springframework.web.bind.annotation.PostMapping;
@@ -14,6 +15,7 @@ import org.springframework.web.bind.annotation.RestController;
 
 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.validation.Valid;
 import lombok.AllArgsConstructor;
 import xiaozhi.common.exception.ErrorCode;
 import xiaozhi.common.redis.RedisKeys;
@@ -22,6 +24,7 @@ import xiaozhi.common.user.UserDetail;
 import xiaozhi.common.utils.Result;
 import xiaozhi.modules.device.dto.DeviceRegisterDTO;
 import xiaozhi.modules.device.dto.DeviceUnBindDTO;
+import xiaozhi.modules.device.dto.DeviceUpdateDTO;
 import xiaozhi.modules.device.entity.DeviceEntity;
 import xiaozhi.modules.device.service.DeviceService;
 import xiaozhi.modules.security.user.SecurityUser;
@@ -80,15 +83,19 @@ public class DeviceController {
         return new Result<Void>();
     }
 
-    @PutMapping("/enableOta/{id}/{status}")
+    @PutMapping("/update/{id}")
-    @Operation(summary = "启用/关闭OTA自动升级")
+    @Operation(summary = "更新设备信息")
     @RequiresPermissions("sys:role:normal")
-    public Result<Void> enableOtaUpgrade(@PathVariable String id, @PathVariable Integer status) {
+    public Result<Void> updateDeviceInfo(@PathVariable String id, @Valid @RequestBody DeviceUpdateDTO deviceUpdateDTO) {
         DeviceEntity entity = deviceService.selectById(id);
         if (entity == null) {
             return new Result<Void>().error("设备不存在");
         }
-        entity.setAutoUpdate(status);
+        UserDetail user = SecurityUser.getUser();
+        if (!entity.getUserId().equals(user.getId())) {
+            return new Result<Void>().error("设备不存在");
+        }
+        BeanUtils.copyProperties(deviceUpdateDTO, entity);
         deviceService.updateById(entity);
         return new Result<Void>();
     }

main/manager-api/src/main/java/xiaozhi/modules/device/dto/DeviceUpdateDTO.java

@@ -0,0 +1,29 @@
+package xiaozhi.modules.device.dto;
+
+import jakarta.validation.constraints.Max;
+import jakarta.validation.constraints.Min;
+import jakarta.validation.constraints.Size;
+import lombok.Data;
+
+import java.io.Serializable;
+
+/**
+ * 设备更新DTO
+ */
+@Data
+public class DeviceUpdateDTO implements Serializable {
+    /**
+    * 自动更新状态
+    */
+    @Max(1)
+    @Min(0)
+    private Integer autoUpdate;
+
+    /**
+    * 设备别名
+    */
+    @Size(max = 64)
+    private String alias;
+
+    private static final long serialVersionUID = 1L;
+}

main/manager-api/src/main/java/xiaozhi/modules/model/controller/ModelProviderController.java

@@ -18,6 +18,7 @@ import io.swagger.v3.oas.annotations.tags.Tag;
 import lombok.AllArgsConstructor;
 import xiaozhi.common.page.PageData;
 import xiaozhi.common.utils.Result;
+import xiaozhi.common.utils.ResultUtils;
 import xiaozhi.common.validator.group.UpdateGroup;
 import xiaozhi.modules.model.dto.ModelProviderDTO;
 import xiaozhi.modules.model.service.ModelProviderService;
@@ -65,4 +66,10 @@ public class ModelProviderController {
         return new Result<>();
     }
 
+    @GetMapping("/plugin/names")
+    @Tag(name = "获取插件名称列表")
+    public Result<List<ModelProviderDTO>> getPluginNameList() {
+        return ResultUtils.success(modelProviderService.getPluginList());
+    }
+
 }

main/manager-api/src/main/java/xiaozhi/modules/model/service/ModelProviderService.java

@@ -1,5 +1,6 @@
 package xiaozhi.modules.model.service;
 
+import java.util.Collection;
 import java.util.List;
 
 import xiaozhi.common.page.PageData;
@@ -7,7 +8,11 @@ import xiaozhi.modules.model.dto.ModelProviderDTO;
 
 public interface ModelProviderService {
 
-    // List<String> getModelNames(String modelType, String modelName);
+    List<ModelProviderDTO> getPluginList();
+
+    ModelProviderDTO getById(String id);
+
+    List<ModelProviderDTO> getPluginListByIds(Collection<String> ids);
 
     List<ModelProviderDTO> getListByModelType(String modelType);
 

main/manager-api/src/main/java/xiaozhi/modules/model/service/impl/ModelProviderServiceImpl.java

@@ -1,5 +1,6 @@
 package xiaozhi.modules.model.service.impl;
 
+import java.util.Collection;
 import java.util.Date;
 import java.util.HashMap;
 import java.util.List;
@@ -8,6 +9,7 @@ import java.util.Map;
 import org.apache.commons.lang3.StringUtils;
 import org.springframework.stereotype.Service;
 
+import com.baomidou.mybatisplus.core.conditions.query.LambdaQueryWrapper;
 import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
 import com.baomidou.mybatisplus.core.metadata.IPage;
 
@@ -32,6 +34,29 @@ public class ModelProviderServiceImpl extends BaseServiceImpl<ModelProviderDao,
 
     private final ModelProviderDao modelProviderDao;
 
+    @Override
+    public List<ModelProviderDTO> getPluginList() {
+        LambdaQueryWrapper<ModelProviderEntity> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.eq(ModelProviderEntity::getModelType, "Plugin");
+        List<ModelProviderEntity> providerEntities = modelProviderDao.selectList(queryWrapper);
+        return ConvertUtils.sourceToTarget(providerEntities, ModelProviderDTO.class);
+    }
+
+    @Override
+    public ModelProviderDTO getById(String id) {
+        ModelProviderEntity entity = modelProviderDao.selectById(id);
+        return ConvertUtils.sourceToTarget(entity, ModelProviderDTO.class);
+    }
+
+    @Override
+    public List<ModelProviderDTO> getPluginListByIds(Collection<String> ids) {
+        LambdaQueryWrapper<ModelProviderEntity> queryWrapper = new LambdaQueryWrapper<>();
+        queryWrapper.in(ModelProviderEntity::getId, ids);
+        queryWrapper.eq(ModelProviderEntity::getModelType, "Plugin");
+        List<ModelProviderEntity> providerEntities = modelProviderDao.selectList(queryWrapper);
+        return ConvertUtils.sourceToTarget(providerEntities, ModelProviderDTO.class);
+    }
+
     @Override
     public List<ModelProviderDTO> getListByModelType(String modelType) {
 

main/manager-api/src/main/java/xiaozhi/modules/sys/enums/ServerActionEnum.java

@@ -2,36 +2,29 @@ package xiaozhi.modules.sys.enums;
 
 import com.fasterxml.jackson.annotation.JsonCreator;
 import com.fasterxml.jackson.annotation.JsonValue;
-import xiaozhi.common.exception.RenException;
 
 /**
  * 服务端动作枚举
  */
-public enum ServerActionEnum
+public enum ServerActionEnum {
-{
     RESTART("restart"),
     UPDATE_CONFIG("update_config");
 
     private final String value;
 
-    ServerActionEnum(String value)
+    ServerActionEnum(String value) {
-    {
         this.value = value;
     }
 
     @JsonValue
-    public String getValue()
+    public String getValue() {
-    {
         return value;
     }
 
     @JsonCreator
-    public static ServerActionEnum fromValue(String value)
+    public static ServerActionEnum fromValue(String value) {
-    {
+        for (ServerActionEnum action : ServerActionEnum.values()) {
-        for (ServerActionEnum action : ServerActionEnum.values())
+            if (action.value.equalsIgnoreCase(value)) {
-        {
-            if (action.value.equalsIgnoreCase(value))
-            {
                 return action;
             }
         }

main/manager-api/src/main/java/xiaozhi/modules/sys/enums/ServerActionResponseEnum.java

@@ -1,16 +1,16 @@
 package xiaozhi.modules.sys.enums;
 
+import org.apache.commons.lang3.StringUtils;
+
 import com.fasterxml.jackson.annotation.JsonCreator;
 import com.fasterxml.jackson.annotation.JsonValue;
-import lombok.Getter;
-import org.apache.commons.lang3.StringUtils;
 
 /**
  * 服务端调用响应枚举
  */
-public enum ServerActionResponseEnum
+public enum ServerActionResponseEnum {
-{
     SUCCESS("success"), FAIL("fail");
+
     private final String value;
 
     ServerActionResponseEnum(String value) {
@@ -18,8 +18,7 @@ public enum ServerActionResponseEnum
     }
 
     @JsonValue
-    public String getValue()
+    public String getValue() {
-    {
         return value;
     }
 

main/manager-api/src/main/java/xiaozhi/modules/sys/utils/WebSocketClientManager.java

@@ -1,13 +1,5 @@
 package xiaozhi.modules.sys.utils;
 
-import com.fasterxml.jackson.databind.ObjectMapper;
-import lombok.extern.slf4j.Slf4j;
-import org.springframework.util.StopWatch;
-import org.springframework.web.socket.*;
-import org.springframework.web.socket.client.standard.StandardWebSocketClient;
-import org.springframework.web.socket.handler.AbstractWebSocketHandler;
-import xiaozhi.common.utils.DateUtils;
-
 import java.io.Closeable;
 import java.io.IOException;
 import java.net.URI;
@@ -15,30 +7,51 @@ import java.nio.ByteBuffer;
 import java.util.ArrayList;
 import java.util.List;
 import java.util.Objects;
-import java.util.concurrent.*;
+import java.util.concurrent.BlockingQueue;
+import java.util.concurrent.CompletableFuture;
+import java.util.concurrent.ExecutionException;
+import java.util.concurrent.ExecutorService;
+import java.util.concurrent.Executors;
+import java.util.concurrent.LinkedBlockingQueue;
+import java.util.concurrent.ThreadFactory;
+import java.util.concurrent.TimeUnit;
+import java.util.concurrent.TimeoutException;
 import java.util.concurrent.atomic.AtomicInteger;
 import java.util.function.Consumer;
 import java.util.function.Predicate;
 
+import org.springframework.util.StopWatch;
+import org.springframework.web.socket.BinaryMessage;
+import org.springframework.web.socket.CloseStatus;
+import org.springframework.web.socket.TextMessage;
+import org.springframework.web.socket.WebSocketHttpHeaders;
+import org.springframework.web.socket.WebSocketSession;
+import org.springframework.web.socket.client.standard.StandardWebSocketClient;
+import org.springframework.web.socket.handler.AbstractWebSocketHandler;
+
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import lombok.extern.slf4j.Slf4j;
+import xiaozhi.common.utils.DateUtils;
+
 /**
  * WebSocketClientResource：支持 try-with-resources 模式
  */
 @Slf4j
-public class WebSocketClientManager implements Closeable
+public class WebSocketClientManager implements Closeable {
-{
     private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
 
     // 全局回调线程池
-    private static final ExecutorService CALLBACK_EXECUTOR = Executors.newFixedThreadPool(Runtime.getRuntime().availableProcessors(), new ThreadFactory() {
+    private static final ExecutorService CALLBACK_EXECUTOR = Executors
-        private final AtomicInteger cnt = new AtomicInteger();
+            .newFixedThreadPool(Runtime.getRuntime().availableProcessors(), new ThreadFactory() {
+                private final AtomicInteger cnt = new AtomicInteger();
 
-        public Thread newThread(Runnable r)
+                public Thread newThread(Runnable r) {
-        {
+                    Thread t = new Thread(r, "ws-callback-" + cnt.getAndIncrement());
-            Thread t = new Thread(r, "ws-callback-" + cnt.getAndIncrement());
+                    t.setDaemon(true);
-            t.setDaemon(true);
+                    return t;
-            return t;
+                }
-        }
+            });
-    });
 
     private volatile WebSocketSession session;
     private final BlockingQueue<String> textMessageQueue;
@@ -51,18 +64,10 @@ public class WebSocketClientManager implements Closeable
     private volatile Consumer<byte[]> onBinary;
     private volatile Consumer<Throwable> onError;
 
-    private final String uri;
-    private final WebSocketHttpHeaders headers;
-    private final long connectTimeout;
-    private final TimeUnit connectUnit;
     private final int queueCapacity;
 
     // 私有构造，仅由 Builder 调用
     private WebSocketClientManager(Builder b) {
-        this.uri = b.uri;
-        this.headers = b.headers != null ? b.headers : new WebSocketHttpHeaders();
-        this.connectTimeout = b.connectTimeout;
-        this.connectUnit = b.connectUnit;
         this.maxSessionDuration = b.maxSessionDuration;
         this.maxSessionDurationUnit = b.maxSessionDurationUnit;
         this.queueCapacity = b.queueCapacity;
@@ -71,13 +76,14 @@ public class WebSocketClientManager implements Closeable
         this.errorFuture = new CompletableFuture<>();
     }
 
-    public static WebSocketClientManager build(Builder b) throws InterruptedException, ExecutionException, TimeoutException, IOException {
+    public static WebSocketClientManager build(Builder b)
+            throws InterruptedException, ExecutionException, TimeoutException, IOException {
         WebSocketClientManager ws = new WebSocketClientManager(b);
         StandardWebSocketClient client = new StandardWebSocketClient();
-        CompletableFuture<WebSocketSession> future = client.execute(ws.new InternalHandler(b.uri), b.headers, URI.create(b.uri));
+        CompletableFuture<WebSocketSession> future = client.execute(ws.new InternalHandler(b.uri), b.headers,
+                URI.create(b.uri));
         WebSocketSession sess = future.get(b.connectTimeout, b.connectUnit);
-        if (sess == null || !sess.isOpen())
+        if (sess == null || !sess.isOpen()) {
-        {
             throw new IOException("握手失败或会话未打开");
         }
         ws.session = sess;
@@ -100,13 +106,10 @@ public class WebSocketClientManager implements Closeable
         session.sendMessage(new TextMessage(json));
     }
 
-
-
     private <T> List<T> listenerCustom(
             BlockingQueue<T> queue,
             Predicate<T> predicate)
-            throws InterruptedException, TimeoutException, ExecutionException
+            throws InterruptedException, TimeoutException, ExecutionException {
-    {
         List<T> collected = new ArrayList<>();
         long deadline = System.currentTimeMillis() + maxSessionDurationUnit.toMillis(maxSessionDuration);
 
@@ -136,17 +139,16 @@ public class WebSocketClientManager implements Closeable
 
     /**
      * 同步接收多条消息，直到 predicate 为 true 或超时抛异常；
+     * 
      * @return 返回监听期间的所有消息列表
      */
     public List<String> listener(Predicate<String> predicate)
-            throws InterruptedException, TimeoutException, ExecutionException
+            throws InterruptedException, TimeoutException, ExecutionException {
-    {
         return listenerCustom(textMessageQueue, predicate);
     }
 
     public List<byte[]> listenerBinary(Predicate<byte[]> predicate)
-            throws InterruptedException, TimeoutException, ExecutionException
+            throws InterruptedException, TimeoutException, ExecutionException {
-    {
         return listenerCustom(binaryMessageQueue, predicate);
     }
 
@@ -183,8 +185,8 @@ public class WebSocketClientManager implements Closeable
             if (session != null && session.isOpen()) {
                 session.close(CloseStatus.NORMAL);
             }
+        } catch (IOException ignored) {
         }
-        catch (IOException ignored) {}
         textMessageQueue.clear();
         binaryMessageQueue.clear();
         errorFuture.completeExceptionally(new IOException("WebSocket 已关闭"));
@@ -207,7 +209,8 @@ public class WebSocketClientManager implements Closeable
             // 保存会话
             WebSocketClientManager.this.session = session;
             this.stopWatch.start();
-            log.info("ws连接成功, 目标URI: {}, 连接时间: {}", targetUri, DateUtils.getDateTimeNow(DateUtils.DATE_TIME_MILLIS_PATTERN));
+            log.info("ws连接成功, 目标URI: {}, 连接时间: {}", targetUri,
+                    DateUtils.getDateTimeNow(DateUtils.DATE_TIME_MILLIS_PATTERN));
         }
 
         /**
@@ -264,18 +267,19 @@ public class WebSocketClientManager implements Closeable
                 stopWatch.stop();
             }
             log.info("ws连接关闭, 目标URI: {}, 关闭时间: {}, 连接总时长: {}s",
-                    targetUri, DateUtils.getDateTimeNow(DateUtils.DATE_TIME_MILLIS_PATTERN), DateUtils.millsToSecond(stopWatch.getTotalTimeMillis()));
+                    targetUri, DateUtils.getDateTimeNow(DateUtils.DATE_TIME_MILLIS_PATTERN),
+                    DateUtils.millsToSecond(stopWatch.getTotalTimeMillis()));
         }
     }
 
     public static class Builder {
-        private String uri;                                         // 目标 WS URI
+        private String uri; // 目标 WS URI
-        private long connectTimeout = 3;                            // 请求连接等待时间
+        private long connectTimeout = 3; // 请求连接等待时间
-        private TimeUnit connectUnit = TimeUnit.SECONDS;            // 请求连接等待时间单位
+        private TimeUnit connectUnit = TimeUnit.SECONDS; // 请求连接等待时间单位
-        private long maxSessionDuration = 5;                        // 最大连线时间，默认5秒
+        private long maxSessionDuration = 5; // 最大连线时间，默认5秒
         private TimeUnit maxSessionDurationUnit = TimeUnit.SECONDS; // 最大连线时间单位
-        private int queueCapacity = 100;                            // 消息队列容量
+        private int queueCapacity = 100; // 消息队列容量
-        private WebSocketHttpHeaders headers;                       // 请求头
+        private WebSocketHttpHeaders headers; // 请求头
 
         /**
          * 目标 WS URI
@@ -307,7 +311,8 @@ public class WebSocketClientManager implements Closeable
             return this;
         }
 
-        public WebSocketClientManager build() throws InterruptedException, ExecutionException, TimeoutException, IOException {
+        public WebSocketClientManager build()
+                throws InterruptedException, ExecutionException, TimeoutException, IOException {
             return WebSocketClientManager.build(this);
         }
 

main/manager-api/src/main/resources/db/changelog/202505091409.sql

@@ -1,6 +0,0 @@
--- 更新intent_llmM供应器
-update `ai_model_provider` set fields =  '[{"key":"llm","label":"LLM模型","type":"string"},{"key":"functions","label":"函数列表","type":"dict","dict_name":"functions"}]' where  id = 'SYSTEM_Intent_intent_llm';
--- 更新ChatGLMLLM的意图识别配置
-update `ai_model_config` set config_json =  '{\"type\": \"intent_llm\", \"llm\": \"LLM_ChatGLMLLM\", \"functions\": \"get_weather;get_news_from_newsnow;play_music\"}' where  id = 'Intent_intent_llm';
--- 更新函数调用意图识别配置
-UPDATE `ai_model_config` SET config_json = REPLACE(config_json, ';get_news;', ';get_news_from_newsnow;') WHERE id = 'Intent_function_call';

main/manager-api/src/main/resources/db/changelog/202505292203.sql

@@ -0,0 +1,189 @@
+-- ===============================
+-- 一、在ai_model_provider中插入plugin 记录
+-- ===============================
+START TRANSACTION;
+
+
+-- intent_llm和function_call不设置函数列表
+update `ai_model_provider` set fields =  '[{"key":"llm","label":"LLM模型","type":"string"}]' where  id = 'SYSTEM_Intent_intent_llm';
+update `ai_model_provider` set fields =  '[]' where  id = 'SYSTEM_Intent_function_call';
+update `ai_model_config` set config_json =  '{\"type\": \"intent_llm\", \"llm\": \"LLM_ChatGLMLLM\"}' where  id = 'Intent_intent_llm';
+UPDATE `ai_model_config` SET config_json = '{\"type\": \"function_call\"}' WHERE id = 'Intent_function_call';
+
+
+delete from ai_model_provider where model_type = 'Plugin';
+-- 1. 天气查询
+INSERT INTO ai_model_provider (id, model_type, provider_code, name, fields,
+                               sort, creator, create_date, updater, update_date)
+VALUES ('SYSTEM_PLUGIN_WEATHER',
+        'Plugin',
+        'get_weather',
+        '天气查询',
+        JSON_ARRAY(
+                JSON_OBJECT(
+                        'key', 'api_key',
+                        'type', 'string',
+                        'label', '天气插件 API 密钥',
+                        'default', (SELECT param_value FROM sys_params WHERE param_code = 'plugins.get_weather.api_key')
+                ),
+                JSON_OBJECT(
+                        'key', 'default_location',
+                        'type', 'string',
+                        'label', '默认查询城市',
+                        'default',
+                        (SELECT param_value FROM sys_params WHERE param_code = 'plugins.get_weather.default_location')
+                ),
+                JSON_OBJECT(
+                        'key', 'api_host',
+                        'type', 'string',
+                        'label', '开发者 API Host',
+                        'default',
+                        (SELECT param_value FROM sys_params WHERE param_code = 'plugins.get_weather.api_host')
+                )
+        ),
+        10, 0, NOW(), 0, NOW());
+
+-- 6. 本地播放音乐
+INSERT INTO ai_model_provider (id, model_type, provider_code, name, fields,
+                               sort, creator, create_date, updater, update_date)
+VALUES ('SYSTEM_PLUGIN_MUSIC',
+        'Plugin',
+        'play_music',
+        '服务器音乐播放',
+        JSON_ARRAY(),
+        20, 0, NOW(), 0, NOW());
+
+-- 2. 新闻订阅
+INSERT INTO ai_model_provider (id, model_type, provider_code, name, fields,
+                               sort, creator, create_date, updater, update_date)
+VALUES ('SYSTEM_PLUGIN_NEWS_CHINANEWS',
+        'Plugin',
+        'get_news_from_chinanews',
+        '中新网新闻',
+        JSON_ARRAY(
+                JSON_OBJECT(
+                        'key', 'default_rss_url',
+                        'type', 'string',
+                        'label', '默认 RSS 源',
+                        'default',
+                        (SELECT param_value FROM sys_params WHERE param_code = 'plugins.get_news.default_rss_url')
+                ),
+                JSON_OBJECT(
+                        'key', 'society_rss_url',
+                        'type', 'string',
+                        'label', '社会新闻 RSS 地址',
+                        'default',
+                        'https://www.chinanews.com.cn/rss/society.xml'
+                ),
+                JSON_OBJECT(
+                        'key', 'world_rss_url',
+                        'type', 'string',
+                        'label', '国际新闻 RSS 地址',
+                        'default',
+                        'https://www.chinanews.com.cn/rss/world.xml'
+                ),
+                JSON_OBJECT(
+                        'key', 'finance_rss_url',
+                        'type', 'string',
+                        'label', '财经新闻 RSS 地址',
+                        'default',
+                        'https://www.chinanews.com.cn/rss/finance.xml'
+                )
+        ),
+        30, 0, NOW(), 0, NOW());
+
+-- 3. 新闻订阅
+INSERT INTO ai_model_provider (id, model_type, provider_code, name, fields,
+                               sort, creator, create_date, updater, update_date)
+VALUES ('SYSTEM_PLUGIN_NEWS_NEWSNOW',
+        'Plugin',
+        'get_news_from_newsnow',
+        'newsnow新闻聚合',
+        JSON_ARRAY(
+                JSON_OBJECT(
+                        'key', 'url',
+                        'type', 'string',
+                        'label', '接口地址',
+                        'default',
+                        'https://newsnow.busiyi.world/api/s?id='
+                )
+        ),
+        40, 0, NOW(), 0, NOW());
+
+
+-- 4. HomeAssistant 状态查询
+INSERT INTO ai_model_provider (id, model_type, provider_code, name, fields,
+                               sort, creator, create_date, updater, update_date)
+VALUES ('SYSTEM_PLUGIN_HA_GET_STATE',
+        'Plugin',
+        'hass_get_state',
+        'HomeAssistant设备状态查询',
+        JSON_ARRAY(
+                JSON_OBJECT(
+                        'key', 'base_url',
+                        'type', 'string',
+                        'label', 'HA 服务器地址',
+                        'default',
+                        (SELECT param_value FROM sys_params WHERE param_code = 'plugins.home_assistant.base_url')
+                ),
+                JSON_OBJECT(
+                        'key', 'api_key',
+                        'type', 'string',
+                        'label', 'HA API 访问令牌',
+                        'default',
+                        (SELECT param_value FROM sys_params WHERE param_code = 'plugins.home_assistant.api_key')
+                ),
+                JSON_OBJECT(
+                        'key', 'devices',
+                        'type', 'array',
+                        'label', '设备列表（名称,实体ID;…）',
+                        'default',
+                        (SELECT param_value FROM sys_params WHERE param_code = 'plugins.home_assistant.devices')
+                )
+        ),
+        50, 0, NOW(), 0, NOW());
+
+-- 5. HomeAssistant 状态写入
+INSERT INTO ai_model_provider (id, model_type, provider_code, name, fields,
+                               sort, creator, create_date, updater, update_date)
+VALUES ('SYSTEM_PLUGIN_HA_SET_STATE',
+        'Plugin',
+        'hass_set_state',
+        'HomeAssistant设备状态修改',
+        JSON_ARRAY(),
+        60, 0, NOW(), 0, NOW());
+
+-- 5. HomeAssistant 音乐播放
+INSERT INTO ai_model_provider (id, model_type, provider_code, name, fields,
+                               sort, creator, create_date, updater, update_date)
+VALUES ('SYSTEM_PLUGIN_HA_PLAY_MUSIC',
+        'Plugin',
+        'hass_play_music',
+        'HomeAssistant音乐播放',
+        JSON_ARRAY(),
+        70, 0, NOW(), 0, NOW());
+
+
+-- ===============================
+-- 二、删除sys_params中旧的plugins.*参数
+-- ===============================
+DELETE
+FROM sys_params
+WHERE param_code LIKE 'plugins.%';
+
+
+-- ===============================
+-- 三、添加智能体插件id字段
+-- ===============================
+CREATE TABLE IF NOT EXISTS ai_agent_plugin_mapping
+(
+    id         BIGINT AUTO_INCREMENT PRIMARY KEY COMMENT '主键',
+    agent_id   VARCHAR(32) NOT NULL COMMENT '智能体ID',
+    plugin_id  VARCHAR(32) NOT NULL COMMENT '插件ID',
+    param_info JSON        NOT NULL COMMENT '参数信息',
+    UNIQUE KEY uk_agent_provider (agent_id, plugin_id)
+) COMMENT 'Agent与插件的唯一映射表';
+
+
+COMMIT;
+

main/manager-api/src/main/resources/db/changelog/202506051538.sql

@@ -0,0 +1,20 @@
+-- 增加LinkeraiTTS供应器和模型配置
+delete from `ai_model_provider` where id = 'SYSTEM_TTS_LinkeraiTTS';
+INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `fields`, `sort`, `creator`, `create_date`, `updater`, `update_date`) VALUES
+('SYSTEM_TTS_LinkeraiTTS', 'TTS', 'linkerai', 'Linkerai语音合成', '[{"key":"api_url","label":"API地址","type":"string"},{"key":"audio_format","label":"音频格式","type":"string"},{"key":"access_token","label":"访问令牌","type":"string"},{"key":"voice","label":"默认音色","type":"string"}]', 14, 1, NOW(), 1, NOW());
+
+delete from `ai_model_config` where id = 'TTS_LinkeraiTTS';
+INSERT INTO `ai_model_config` VALUES ('TTS_LinkeraiTTS', 'TTS', 'LinkeraiTTS', 'Linkerai语音合成', 0, 1, '{\"type\": \"linkerai\", \"api_url\": \"https://tts.linkerai.cn/tts\", \"audio_format\": \"pcm\", \"access_token\": \"U4YdYXVfpwWnk2t5Gp822zWPCuORyeJL\", \"voice\": \"OUeAo1mhq6IBExi\"}', NULL, NULL, 17, NULL, NULL, NULL, NULL);
+
+-- LinkeraiTTS模型配置说明文档
+UPDATE `ai_model_config` SET 
+`doc_link` = 'https://tts.linkerai.cn/docs',
+`remark` = 'Linkerai语音合成服务配置说明：
+1. 访问 https://linkerai.cn 注册并获取访问令牌
+2. 默认的access_token供测试使用，请勿用于商业用途
+3. 支持声音克隆功能，可自行上传音频，填入voice参数
+4. 如果voice参数为空，将使用默认声音' WHERE `id` = 'TTS_LinkeraiTTS';
+
+
+delete from `ai_tts_voice` where tts_model_id = 'TTS_LinkeraiTTS';
+INSERT INTO `ai_tts_voice` VALUES ('TTS_LinkeraiTTS_0001', 'TTS_LinkeraiTTS', '芷若', 'OUeAo1mhq6IBExi', '中文', NULL, NULL, 1, NULL, NULL, NULL, NULL);

main/manager-api/src/main/resources/db/changelog/202506080955.sql

@@ -0,0 +1,3 @@
+-- 智控台开启唤醒词加速
+update `sys_params` set param_value = '你好小智;你好小志;小爱同学;你好小鑫;你好小新;小美同学;小龙小龙;喵喵同学;小滨小滨;小冰小冰;嘿你好呀' where param_code = 'wakeup_words';
+update `sys_params` set param_value = 'true' where param_code = 'enable_wakeup_words_response_cache';

main/manager-api/src/main/resources/db/changelog/202506161101.sql

@@ -0,0 +1 @@
+ALTER TABLE ai_agent_plugin_mapping CONVERT TO CHARACTER SET utf8mb4;

main/manager-api/src/main/resources/db/changelog/202506191643.sql

@@ -0,0 +1,19 @@
+-- LLM意图识别配置说明
+UPDATE `ai_model_config` SET 
+`doc_link` = NULL,
+`remark` = 'LLM意图识别配置说明：
+1. 使用独立的LLM进行意图识别
+2. 默认使用selected_module.LLM的模型
+3. 可以配置使用独立的LLM（如免费的ChatGLMLLM）
+4. 通用性强，但会增加处理时间
+配置说明：
+1. 在llm字段中指定使用的LLM模型
+2. 如果不指定，则使用selected_module.LLM的模型' WHERE `id` = 'Intent_intent_llm';
+
+-- 函数调用意图识别配置说明
+UPDATE `ai_model_config` SET 
+`doc_link` = NULL,
+`remark` = '函数调用意图识别配置说明：
+1. 使用LLM的function_call功能进行意图识别
+2. 需要所选择的LLM支持function_call
+3. 按需调用工具，处理速度快' WHERE `id` = 'Intent_function_call';

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

@@ -107,13 +107,6 @@ databaseChangeLog:
         - sqlFile:
             encoding: utf8
             path: classpath:db/changelog/202505081146.sql
-  - changeSet:
-      id: 202505091409
-      author: hrz
-      changes:
-        - sqlFile:
-            encoding: utf8
-            path: classpath:db/changelog/202505091409.sql
   - changeSet:
       id: 202505091555
       author: whosmyqueen
@@ -170,6 +163,13 @@ databaseChangeLog:
         - sqlFile:
             encoding: utf8
             path: classpath:db/changelog/202505271414.sql
+  - changeSet:
+      id: 202505292203
+      author: CAIXYPROMISE
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202505292203.sql
   - changeSet:
       id: 202506010920
       author: hrz
@@ -190,4 +190,32 @@ databaseChangeLog:
       changes:
         - sqlFile:
             encoding: utf8
-            path: classpath:db/changelog/202506032232.sql
+            path: classpath:db/changelog/202506032232.sql
+  - changeSet:
+      id: 202506051538
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202506051538.sql
+  - changeSet:
+      id: 202506080955
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202506080955.sql
+  - changeSet:
+      id: 202506161101
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202506161101.sql
+  - changeSet:
+      id: 202506191643
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202506191643.sql

main/manager-api/src/main/resources/mapper/agent/AgentDao.xml

@@ -5,4 +5,72 @@
     <select id="getDeviceCountByAgentId" resultType="java.lang.Integer">
         SELECT COUNT(*) FROM ai_device WHERE agent_id = #{agentId}
     </select>
+
+    <resultMap id="AgentInfoMap" type="xiaozhi.modules.agent.vo.AgentInfoVO">
+        <id column="id"           property="id"/>
+        <result column="userId"    property="userId"/>
+        <result column="agentCode" property="agentCode"/>
+        <result column="agentName" property="agentName"/>
+        <result column="asrModelId" property="asrModelId"/>
+        <result column="vadModelId" property="vadModelId"/>
+        <result column="llmModelId" property="llmModelId"/>
+        <result column="ttsModelId" property="ttsModelId"/>
+        <result column="ttsVoiceId" property="ttsVoiceId"/>
+        <result column="memModelId" property="memModelId"/>
+        <result column="intentModelId" property="intentModelId"/>
+
+        <result column="functions" property="functions"
+                typeHandler="com.baomidou.mybatisplus.extension.handlers.JacksonTypeHandler"/>
+
+        <result column="chatHistoryConf" property="chatHistoryConf"/>
+        <result column="systemPrompt" property="systemPrompt"/>
+        <result column="summaryMemory" property="summaryMemory"/>
+        <result column="langCode" property="langCode"/>
+        <result column="language" property="language"/>
+        <result column="sort" property="sort"/>
+        <result column="creator" property="creator"/>
+        <result column="createdAt" property="createdAt"/>
+        <result column="updater" property="updater"/>
+        <result column="updatedAt" property="updatedAt"/>
+    </resultMap>
+
+    <select id="selectAgentInfoById" resultMap="AgentInfoMap">
+        SELECT a.id,
+               a.user_id           AS userId,
+               a.agent_code        AS agentCode,
+               a.agent_name        AS agentName,
+               a.asr_model_id      AS asrModelId,
+               a.vad_model_id      AS vadModelId,
+               a.llm_model_id      AS llmModelId,
+               a.vllm_model_id     AS vllmModelId,
+               a.tts_model_id      AS ttsModelId,
+               a.tts_voice_id      AS ttsVoiceId,
+               a.mem_model_id      AS memModelId,
+               a.intent_model_id   AS intentModelId,
+               COALESCE(
+                       (SELECT JSON_ARRAYAGG(
+                                       JSON_OBJECT(
+                                               'id', m.id,
+                                               'agentId', m.agent_id,
+                                               'pluginId', m.plugin_id,
+                                               'paramInfo', m.param_info
+                                       )
+                               )
+                        FROM ai_agent_plugin_mapping m
+                        WHERE m.agent_id = a.id),
+                       JSON_ARRAY()
+               )                   AS functions,
+               a.chat_history_conf AS chatHistoryConf,
+               a.system_prompt     AS systemPrompt,
+               a.summary_memory    AS summaryMemory,
+               a.lang_code         AS langCode,
+               a.language          AS language,
+               a.sort,
+               a.creator,
+               a.created_at        AS createdAt,
+               a.updater,
+               a.updated_at        AS updatedAt
+        FROM ai_agent a
+        WHERE a.id = #{agentId}
+    </select>
 </mapper> 

main/manager-api/src/main/resources/mapper/agent/AgentPluginMappingMapper.xml

@@ -0,0 +1,48 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE mapper
+        PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN"
+        "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
+<mapper namespace="xiaozhi.modules.agent.dao.AgentPluginMappingMapper">
+
+    <resultMap id="BaseResultMap" type="xiaozhi.modules.agent.entity.AgentPluginMapping">
+        <id property="id" column="id" jdbcType="BIGINT"/>
+        <result property="agentId" column="agent_id" jdbcType="VARCHAR"/>
+        <result property="pluginId" column="plugin_id" jdbcType="VARCHAR"/>
+        <result property="paramInfo" column="param_info" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <!-- 用于映射根据agentId查询完整插件信息 -->
+    <resultMap id="AgentPluginWithCodeMap" type="xiaozhi.modules.agent.entity.AgentPluginMapping">
+        <id column="id" property="id" jdbcType="BIGINT"/>
+        <result column="agentId" property="agentId" jdbcType="VARCHAR"/>
+        <result column="pluginId" property="pluginId" jdbcType="VARCHAR"/>
+        <result column="paramInfo" property="paramInfo" jdbcType="VARCHAR"/>
+        <result column="providerCode" property="providerCode" jdbcType="VARCHAR"/>
+    </resultMap>
+
+    <sql id="Base_Column_List">
+        id,agent_id,plugin_id
+    </sql>
+
+
+    <select id="selectPluginsByAgentId" resultMap="AgentPluginWithCodeMap">
+        SELECT m.id         AS id,
+               m.agent_id   AS agentId,
+               m.plugin_id  AS pluginId,
+               m.param_info AS paramInfo,
+               (
+                   SELECT
+                       p.provider_code
+                   FROM
+                       ai_model_provider p
+                   WHERE
+                       p.id = m.plugin_id
+                   LIMIT
+                       1
+                )    AS providerCode
+        FROM ai_agent_plugin_mapping m
+        WHERE m.agent_id = #{agentId}
+    </select>
+
+
+</mapper>

main/manager-web/src/apis/module/device.js

@@ -51,10 +51,11 @@ export default {
                 });
             }).send();
     },
-    enableOtaUpgrade(id, status, callback) {
+    updateDeviceInfo(id, payload, callback) {
         RequestService.sendRequest()
-            .url(`${getServiceUrl()}/device/enableOta/${id}/${status}`)
+            .url(`${getServiceUrl()}/device/update/${id}`)
             .method('PUT')
+            .data(payload)
             .success((res) => {
                 RequestService.clearRequestTime()
                 callback(res)
@@ -63,7 +64,7 @@ export default {
                 console.error('更新OTA状态失败:', err)
                 this.$message.error(err.msg || '更新OTA状态失败')
                 RequestService.reAjaxFun(() => {
-                    this.enableOtaUpgrade(id, status, callback)
+                    this.updateDeviceInfo(id, payload, callback)
                 })
             }).send()
     },

main/manager-web/src/apis/module/model.js

@@ -305,4 +305,20 @@ export default {
         })
       }).send()
   },
+  // 获取插件列表
+  getPluginFunctionList(params, callback) {
+    RequestService.sendRequest()
+      .url(`${getServiceUrl()}/models/provider/plugin/names`)
+      .method('GET')
+      .success((res) => {
+        RequestService.clearRequestTime()
+        callback(res)
+      })
+      .networkFail((err) => {
+        this.$message.error(err.msg || '获取插件列表失败')
+        RequestService.reAjaxFun(() => {
+          this.getPluginFunctionList(params, callback)
+        })
+      }).send()
+  }
 }

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

@@ -1,5 +1,5 @@
 <template>
-  <el-dialog :title="title" :visible.sync="dialogVisible" @close="handleClose" @open="handleOpen">
+  <el-dialog :title="title" :visible.sync="dialogVisible" :close-on-click-modal="false" @close="handleClose" @open="handleOpen">
     <el-form ref="form" :model="form" :rules="rules" label-width="100px">
       <el-form-item label="固件名称" prop="firmwareName">
         <el-input v-model="form.firmwareName" placeholder="请输入固件名称(板子+版本号)"></el-input>

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

@@ -1,5 +1,5 @@
 <template>
-  <el-drawer :visible.sync="dialogVisible" direction="rtl" size="50%" :wrapperClosable="false" :withHeader="false">
+  <el-drawer :visible.sync="dialogVisible" direction="rtl" size="80%" :wrapperClosable="false" :withHeader="false">
     <!-- 自定义标题区域 -->
     <div class="custom-header">
       <div class="header-left">
@@ -16,15 +16,18 @@
           <el-button type="text" @click="selectAll" class="select-all-btn">全选</el-button>
         </div>
         <div class="function-list">
-          <div v-for="func in unselected" :key="func.name" class="function-item">
+          <div v-if="unselected.length">
-            <el-checkbox :label="func.name" v-model="selectedNames" @change="(val) => handleCheckboxChange(func, val)" @click.native.stop></el-checkbox>
+            <div v-for="func in unselected" :key="func.name" class="function-item">
-            <div class="func-tag" @click="handleFunctionClick(func)">
+              <el-checkbox :label="func.name" v-model="selectedNames" @change="(val) => handleCheckboxChange(func, val)"
-              <div class="color-dot" :style="{backgroundColor: getFunctionColor(func.name)}"></div>
+                @click.native.stop></el-checkbox>
-              <span>{{ func.name }}</span>
+              <div class="func-tag" @click="handleFunctionClick(func)">
+                <div class="color-dot" :style="{ backgroundColor: getFunctionColor(func.name) }"></div>
+                <span>{{ func.name }}</span>
+              </div>
             </div>
-            <el-tooltip class="item" effect="dark" :content="func.description || '暂无功能描述'" placement="top">
+          </div>
-              <img src="@/assets/home/info.png" alt="" class="info-icon">
+          <div v-else style="display: flex; justify-content: center; align-items: center;">
-            </el-tooltip>
+            <el-empty description="没有更多的插件了" />
           </div>
         </div>
       </div>
@@ -36,26 +39,62 @@
           <el-button type="text" @click="deselectAll" class="select-all-btn">全选</el-button>
         </div>
         <div class="function-list">
-          <div v-for="func in selectedList" :key="func.name" class="function-item">
+          <div v-if="selectedList.length > 0">
-            <el-checkbox :label="func.name" v-model="selectedNames" @change="(val) => handleCheckboxChange(func, val)" @click.native.stop></el-checkbox>
+            <div v-for="func in selectedList" :key="func.name" class="function-item">
-            <div class="func-tag" @click="handleFunctionClick(func)">
+              <el-checkbox :label="func.name" v-model="selectedNames" @change="(val) => handleCheckboxChange(func, val)"
-              <div class="color-dot" :style="{backgroundColor: getFunctionColor(func.name)}"></div>
+                @click.native.stop></el-checkbox>
-              <span>{{ func.name }}</span>
+              <div class="func-tag" @click="handleFunctionClick(func)">
+                <div class="color-dot" :style="{ backgroundColor: getFunctionColor(func.name) }"></div>
+                <span>{{ func.name }}</span>
+              </div>
             </div>
           </div>
+          <div v-else style="display: flex; justify-content: center; align-items: center;">
+            <el-empty description="请选择插件功能" />
+          </div>
         </div>
       </div>
 
       <!-- 右侧：参数配置 -->
       <div class="params-column">
         <h4 v-if="currentFunction" class="column-title">参数配置 - {{ currentFunction.name }}</h4>
-          <div v-if="currentFunction" class="params-container">
+        <div v-if="currentFunction" class="params-container">
-            <el-form :model="currentFunction" size="mini" class="param-form" v-loading="loading" element-loading-text="拼命加载中" element-loading-spinner="el-icon-loading" element-loading-background="rgba(255, 255, 255, 0.7)">
+          <el-form :model="currentFunction" class="param-form">
-              <el-form-item v-for="(value, key) in currentFunction.params" :key="key" :label="key" class="param-item">
+            <!-- 遍历 fieldsMeta，而不是 params 的 keys -->
-                <el-input v-model="currentFunction.params[key]" size="mini" class="param-input" @change="(val) => handleParamChange(currentFunction, key, val)"/>
+            <div v-if="currentFunction.fieldsMeta.length == 0">
-              </el-form-item>
+              <el-empty :description="currentFunction.name + ' 无需配置参数'" />
-            </el-form>
+            </div>
-          </div>
+            <el-form-item v-for="field in currentFunction.fieldsMeta" :key="field.key" :label="field.label"
+              class="param-item" :class="{ 'textarea-field': field.type === 'array' || field.type === 'json' }">
+              <template #label>
+                <span style="font-size: 16px; margin-right: 6px;">{{ field.label }}</span>
+                <el-tooltip effect="dark" :content="fieldRemark(field)" placement="top">
+                  <img src="@/assets/home/info.png" alt="" class="info-icon">
+                </el-tooltip>
+              </template>
+              <!-- ARRAY -->
+              <el-input v-if="field.type === 'array'" type="textarea" v-model="currentFunction.params[field.key]"
+                @change="val => handleParamChange(currentFunction, field.key, val)" />
+
+              <!-- JSON -->
+              <el-input v-else-if="field.type === 'json'" type="textarea" :rows="6" placeholder="请输入合法的 JSON"
+                v-model="textCache[field.key]" @blur="flushJson(field)" />
+
+              <!-- number -->
+              <el-input-number v-else-if="field.type === 'number'" :value="currentFunction.params[field.key]"
+                @change="val => handleParamChange(currentFunction, field.key, val)" />
+
+              <!-- boolean -->
+              <el-switch v-else-if="field.type === 'boolean' || field.type === 'bool'"
+                :value="currentFunction.params[field.key]"
+                @change="val => handleParamChange(currentFunction, field.key, val)" />
+
+              <!-- string or fallback -->
+              <el-input v-else v-model="currentFunction.params[field.key]"
+                @change="val => handleParamChange(currentFunction, field.key, val)" />
+            </el-form-item>
+          </el-form>
+        </div>
         <div v-else class="empty-tip">请选择已配置的功能进行参数设置</div>
       </div>
     </div>
@@ -74,24 +113,19 @@ export default {
     functions: {
       type: Array,
       default: () => []
+    },
+    allFunctions: {
+      type: Array,
+      default: () => []
     }
   },
   data() {
     return {
+      textCache: {},
       dialogVisible: this.value,
       selectedNames: [],
       currentFunction: null,
       modifiedFunctions: {},
-      allFunctions: [
-        {name: '天气', params: {city: '北京'}, description: '查看指定城市的天气情况'},
-        {name: '新闻', params: {type: '科技'}, description: '获取最新科技类新闻资讯'},
-        {name: '工具', params: {category: '常用'}, description: '提供常用工具集合'},
-        {name: '退出', params: {}, description: '退出当前系统'},
-        {name: '音乐', params: {genre: '流行'}, description: '播放流行音乐'},
-        {name: '翻译', params: {from: '中文', to: '英文'}, description: '提供中英文互译功能'},
-        {name: '计算', params: {precision: '2'}, description: '提供精确计算功能'},
-        {name: '日历', params: {view: '月'}, description: '查看月历视图'}
-      ],
       functionColorMap: [
         '#FF6B6B', '#4ECDC4', '#45B7D1',
         '#96CEB4', '#FFEEAD', '#D4A5A5', '#A2836E'
@@ -111,10 +145,37 @@ export default {
     }
   },
   watch: {
-    value(newVal) {
+    currentFunction(newFn) {
-      this.dialogVisible = newVal;
+      if (!newFn) return;
-      if (newVal) {
+      // 对每个字段，如果是 array 或 json，就在 textCache 里生成初始字符串
+      newFn.fieldsMeta.forEach(f => {
+        const v = newFn.params[f.key];
+        if (f.type === 'array') {
+          this.$set(this.textCache, f.key, Array.isArray(v) ? v.join('\n') : '');
+        }
+        else if (f.type === 'json') {
+          try {
+            this.$set(this.textCache, f.key, JSON.stringify(v ?? {}, null, 2));
+          } catch {
+            this.$set(this.textCache, f.key, '');
+          }
+        }
+      });
+    },
+    value(v) {
+      this.dialogVisible = v;
+      if (v) {
+        // 对话框打开时，初始化选中态
         this.selectedNames = this.functions.map(f => f.name);
+        // 把后端传来的 this.functions（带 params）merge 到 allFunctions 上
+        this.functions.forEach(saved => {
+          const idx = this.allFunctions.findIndex(f => f.name === saved.name);
+          if (idx >= 0) {
+            // 保留用户之前在 saved.params 上的改动
+            this.allFunctions[idx].params = { ...saved.params };
+          }
+        });
+        // 右侧默认指向第一个
         this.currentFunction = this.selectedList[0] || null;
       }
     },
@@ -123,14 +184,32 @@ export default {
     }
   },
   methods: {
+    flushArray(key) {
+      const text = this.textCache[key] || '';
+      const arr = text
+        .split('\n')
+        .map(s => s.trim())
+        .filter(Boolean);
+      this.handleParamChange(this.currentFunction, key, arr);
+    },
+
+    flushJson(field) {
+      const key = field.key;
+      if (!key) {
+        return;
+      }
+      const text = this.textCache[key] || '';
+      try {
+        const obj = JSON.parse(text);
+        this.handleParamChange(this.currentFunction, key, obj);
+      } catch {
+        this.$message.error(`${this.currentFunction.name}的${key}字段格式错误：JSON格式有误`);
+      }
+    },
     handleFunctionClick(func) {
       if (this.selectedNames.includes(func.name)) {
-        this.loading = true;
+        const tempFunc = this.tempFunctions[func.name];
-        setTimeout(() => {
+        this.currentFunction = tempFunc ? tempFunc : func;
-          const tempFunc = this.tempFunctions[func.name];
-          this.currentFunction = tempFunc ? tempFunc : JSON.parse(JSON.stringify(func));
-          this.loading = false;
-        }, 300);
       }
     },
     handleParamChange(func, key, value) {
@@ -185,23 +264,31 @@ export default {
 
       const selected = this.selectedList.map(f => {
         const modified = this.modifiedFunctions[f.name];
-        return modified || f;
+        return {
-      }).map(f => ({
+          id: f.id,
-        ...f,
+          name: f.name,
-        params: JSON.parse(JSON.stringify(f.params))
+          params: modified
-      }));
+            ? { ...modified.params }
+            : { ...f.params }
+        }
+      });
 
       this.$emit('update-functions', selected);
       this.dialogVisible = false;
-      this.$message.success('配置保存成功');
       // 通知父组件对话框已关闭且已保存
       this.$emit('dialog-closed', true);
     },
-
     getFunctionColor(name) {
       const hash = [...name].reduce((acc, char) => acc + char.charCodeAt(0), 0);
-      return this.functionColorMap[hash % 7];
+      return this.functionColorMap[hash % this.functionColorMap.length];
-    }
+    },
+    fieldRemark(field) {
+      let description = (field && field.label) ? field.label : '';
+      if (field.default) {
+        description += `（默认值：${field.default}）`;
+      }
+      return description;
+    },
   }
 }
 </script>
@@ -209,7 +296,7 @@ export default {
 <style lang="scss" scoped>
 .function-manager {
   display: grid;
-  grid-template-columns: minmax(120px, 0.5fr) minmax(120px, 0.5fr) minmax(200px, 2fr);
+  grid-template-columns: max-content max-content 1fr;
   gap: 12px;
   height: calc(70vh - 60px);
 }
@@ -248,6 +335,7 @@ export default {
   overflow-y: auto;
   border-right: 1px solid #EBEEF5;
   scrollbar-width: none;
+  overflow-x: hidden;
 }
 
 .function-column::-webkit-scrollbar {
@@ -257,7 +345,7 @@ export default {
 .function-list {
   display: flex;
   flex-direction: column;
-  gap: 4px;
+  gap: 8px;
 }
 
 .function-item {
@@ -317,9 +405,31 @@ export default {
 }
 
 .param-form {
+  .param-item {
+    font-size: 16px;
+
+    &.textarea-field {
+      ::v-deep .el-form-item__content {
+        margin-left: 0 !important;
+        display: block;
+        width: 100%;
+      }
+
+      ::v-deep .el-form-item__label {
+        display: block;
+        width: 100% !important;
+        margin-bottom: 8px;
+      }
+    }
+  }
+
+  .param-input {
+    width: 100%;
+  }
+
   ::v-deep .el-form-item {
     display: flex;
-    align-items: center;
+    flex-direction: column;
     margin-bottom: 12px;
 
     .el-form-item__label {
@@ -356,9 +466,6 @@ export default {
   text-align: center;
 }
 
-.param-input {
-  width: 100%;
-}
 
 .drawer-footer {
   position: absolute;

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

@@ -1,5 +1,5 @@
 <template>
-  <el-dialog :visible.sync="dialogVisible" width="57%" center custom-class="custom-dialog" :show-close="false"
+  <el-dialog :visible.sync="dialogVisible" :close-on-click-modal="false" width="57%" center custom-class="custom-dialog" :show-close="false"
     class="center-dialog" >
     <div style="margin: 0 18px; text-align: left; padding: 10px; border-radius: 10px;">
       <div style="font-size: 30px; color: #3d4566; margin-top: -10px; margin-bottom: 10px; text-align: center;">

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

@@ -1,5 +1,5 @@
 <template>
-  <el-dialog :visible="visible" @update:visible="handleVisibleChange" width="57%" center custom-class="custom-dialog"
+  <el-dialog :visible="visible" :close-on-click-modal="false" @update:visible="handleVisibleChange" width="57%" center custom-class="custom-dialog"
     :show-close="false" class="center-dialog">
 
     <div style="margin: 0 18px; text-align: left; padding: 10px; border-radius: 10px;">
@@ -18,7 +18,7 @@
             </el-select>
           </el-form-item>
 
-          <el-form-item label="供应器编码" prop="providerCode" style="flex: 1;">
+          <el-form-item label="编码" prop="providerCode" style="flex: 1;">
             <el-input v-model="form.providerCode" placeholder="请输入供应器编码" class="custom-input-bg"></el-input>
           </el-form-item>
         </div>
@@ -87,6 +87,7 @@
                     <el-option label="数字" value="number"></el-option>
                     <el-option label="布尔值" value="boolean"></el-option>
                     <el-option label="字典" value="dict"></el-option>
+                    <el-option label="分号分割的列表" value="array"></el-option>
                   </el-select>
                 </template>
                 <template v-else>
@@ -97,10 +98,10 @@
             <el-table-column label="默认值">
               <template slot-scope="scope">
                 <template v-if="scope.row.editing">
-                  <el-input v-model="scope.row.default_value" placeholder="请输入默认值"></el-input>
+                  <el-input v-model="scope.row.default" placeholder="请输入默认值"></el-input>
                 </template>
                 <template v-else>
-                  {{ scope.row.default_value }}
+                  {{ scope.row.default }}
                 </template>
               </template>
             </el-table-column>
@@ -161,7 +162,8 @@ export default {
         'string': '字符串',
         'number': '数字',
         'boolean': '布尔值',
-        'dict': '字典'
+        'dict': '字典',
+        'array': '分号分割的列表'
       };
       return typeMap[type];
     },
@@ -220,7 +222,7 @@ export default {
         key: '',
         label: '',
         type: 'string',
-        default_value: '',
+        default: '',
         selected: false,
         editing: true
       });

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

@@ -1,12 +1,12 @@
 <template>
   <div class="welcome">
-    <HeaderBar />
+    <HeaderBar/>
 
     <div class="operation-bar">
       <h2 class="page-title">设备管理</h2>
       <div class="right-operations">
         <el-input placeholder="请输入设备型号或Mac地址查询" v-model="searchKeyword" class="search-input"
-          @keyup.enter.native="handleSearch" clearable />
+                  @keyup.enter.native="handleSearch" clearable/>
         <el-button class="btn-search" @click="handleSearch">搜索</el-button>
       </div>
     </div>
@@ -16,8 +16,9 @@
         <div class="content-area">
           <el-card class="device-card" shadow="never">
             <el-table ref="deviceTable" :data="paginatedDeviceList" class="transparent-table"
-              :header-cell-class-name="headerCellClassName" v-loading="loading" element-loading-text="拼命加载中"
+                      :header-cell-class-name="headerCellClassName" v-loading="loading"
-              element-loading-spinner="el-icon-loading" element-loading-background="rgba(255, 255, 255, 0.7)">
+                      element-loading-text="拼命加载中"
+                      element-loading-spinner="el-icon-loading" element-loading-background="rgba(255, 255, 255, 0.7)">
               <el-table-column label="选择" align="center" width="120">
                 <template slot-scope="scope">
                   <el-checkbox v-model="scope.row.selected"></el-checkbox>
@@ -33,22 +34,32 @@
               <el-table-column label="绑定时间" prop="bindTime" align="center"></el-table-column>
               <el-table-column label="最近对话" prop="lastConversation" align="center"></el-table-column>
               <el-table-column label="备注" align="center">
-                <template slot-scope="scope">
+                <template #default="{ row }">
-                  <el-input v-if="scope.row.isEdit" v-model="scope.row.remark" size="mini"
+                  <el-input
-                    @blur="stopEditRemark(scope.$index)"></el-input>
+                      v-show="row.isEdit"
-                  <span v-else>
+                      v-model="row.remark"
-                    <i v-if="!scope.row.remark" class="el-icon-edit"
+                      size="mini"
-                      @click="startEditRemark(scope.$index, scope.row)"></i>
+                      maxlength="64"
-                    <span v-else @click="startEditRemark(scope.$index, scope.row)">
+                      show-word-limit
-                      {{ scope.row.remark }}
+                      @blur="onRemarkBlur(row)"
-                    </span>
+                      @keyup.enter.native="onRemarkEnter(row)"
+                  />
+                  <span v-show="!row.isEdit" class="remark-view">
+                  <i
+                      class="el-icon-edit"
+                      @click="row.isEdit = true"
+                      style="cursor: pointer;"
+                  ></i>
+                  <span @click="row.isEdit = true">
+                    {{ row.remark || '—' }}
                   </span>
+                </span>
                 </template>
               </el-table-column>
               <el-table-column label="OTA升级" align="center">
                 <template slot-scope="scope">
                   <el-switch v-model="scope.row.otaSwitch" size="mini" active-color="#13ce66" inactive-color="#ff4949"
-                    @change="handleOtaSwitchChange(scope.row)"></el-switch>
+                             @change="handleOtaSwitchChange(scope.row)"></el-switch>
                 </template>
               </el-table-column>
               <el-table-column label="操作" align="center">
@@ -78,7 +89,7 @@
                 <button class="pagination-btn" :disabled="currentPage === 1" @click="goFirst">首页</button>
                 <button class="pagination-btn" :disabled="currentPage === 1" @click="goPrev">上一页</button>
                 <button v-for="page in visiblePages" :key="page" class="pagination-btn"
-                  :class="{ active: page === currentPage }" @click="goToPage(page)">
+                        :class="{ active: page === currentPage }" @click="goToPage(page)">
                   {{ page }}
                 </button>
                 <button class="pagination-btn" :disabled="currentPage === pageCount" @click="goNext">下一页</button>
@@ -91,7 +102,7 @@
     </div>
 
     <AddDeviceDialog :visible.sync="addDeviceDialogVisible" :agent-id="currentAgentId"
-      @refresh="fetchBindDevices(currentAgentId)" />
+                     @refresh="fetchBindDevices(currentAgentId)"/>
 
   </div>
 </template>
@@ -102,7 +113,7 @@ import AddDeviceDialog from "@/components/AddDeviceDialog.vue";
 import HeaderBar from "@/components/HeaderBar.vue";
 
 export default {
-  components: { HeaderBar, AddDeviceDialog },
+  components: {HeaderBar, AddDeviceDialog},
   data() {
     return {
       addDeviceDialogVisible: false,
@@ -125,18 +136,15 @@ export default {
       const keyword = this.activeSearchKeyword.toLowerCase();
       if (!keyword) return this.deviceList;
       return this.deviceList.filter(device =>
-        (device.model && device.model.toLowerCase().includes(keyword)) ||
+          (device.model && device.model.toLowerCase().includes(keyword)) ||
-        (device.macAddress && device.macAddress.toLowerCase().includes(keyword))
+          (device.macAddress && device.macAddress.toLowerCase().includes(keyword))
       );
     },
 
     paginatedDeviceList() {
       const start = (this.currentPage - 1) * this.pageSize;
       const end = start + this.pageSize;
-      return this.filteredDeviceList.slice(start, end).map(item => ({
+      return this.filteredDeviceList.slice(start, end);
-        ...item,
-        selected: false
-      }));
     },
     pageCount() {
       return Math.ceil(this.filteredDeviceList.length / this.pageSize);
@@ -212,11 +220,10 @@ export default {
         this.batchUnbindDevices(deviceIds);
       });
     },
-
     batchUnbindDevices(deviceIds) {
       const promises = deviceIds.map(id => {
         return new Promise((resolve, reject) => {
-          Api.device.unbindDevice(id, ({ data }) => {
+          Api.device.unbindDevice(id, ({data}) => {
             if (data.code === 0) {
               resolve();
             } else {
@@ -225,33 +232,61 @@ export default {
           });
         });
       });
-
       Promise.all(promises)
-        .then(() => {
+          .then(() => {
-          this.$message.success({
+            this.$message.success({
-            message: `成功解绑 ${deviceIds.length} 台设备`,
+              message: `成功解绑 ${deviceIds.length} 台设备`,
-            showClose: true
+              showClose: true
+            });
+            this.fetchBindDevices(this.currentAgentId);
+            this.selectedDevices = [];
+            this.isAllSelected = false;
+          })
+          .catch(error => {
+            this.$message.error({
+              message: error || '批量解绑过程中出现错误',
+              showClose: true
+            });
           });
-          this.fetchBindDevices(this.currentAgentId);
-          this.selectedDevices = [];
-          this.isAllSelected = false;
-        })
-        .catch(error => {
-          this.$message.error({
-            message: error || '批量解绑过程中出现错误',
-            showClose: true
-          });
-        });
     },
-
     handleAddDevice() {
       this.addDeviceDialogVisible = true;
     },
-    startEditRemark(index, row) {
+    submitRemark(row) {
-      this.deviceList[index].isEdit = true;
+      if (row._submitting) return;
+
+      const text = (row.remark || '').trim();
+      if (text.length > 64) {
+        this.$message.warning('备注不能超过 64 字符');
+        return;
+      }
+      if (text === row._originalRemark) {
+        return;
+      }
+
+      row._submitting = true;
+      this.updateDeviceInfo(row.device_id, { alias: text }, (ok, resp) => {
+        if (ok) {
+          row._originalRemark = text;
+          this.$message.success('备注已保存');
+        } else {
+          row.remark = row._originalRemark;
+          this.$message.error(resp.msg || '备注保存失败');
+        }
+        row._submitting = false;
+      });
     },
-    stopEditRemark(index) {
+    // 备注输入框：失焦时提交
-      this.deviceList[index].isEdit = false;
+    onRemarkBlur(row) {
+      row.isEdit = false;
+      setTimeout(() => {
+        this.submitRemark(row);
+      }, 100); // 延迟 100ms，避开 enter+blur 同时触发的窗口
+    },
+    // 备注输入框：按回车时提交
+    onRemarkEnter(row) {
+      row.isEdit = false;
+      this.submitRemark(row);
     },
     handleUnbind(device_id) {
       this.$confirm('确认要解绑该设备吗？', '警告', {
@@ -259,7 +294,7 @@ export default {
         cancelButtonText: '取消',
         type: 'warning'
       }).then(() => {
-        Api.device.unbindDevice(device_id, ({ data }) => {
+        Api.device.unbindDevice(device_id, ({data}) => {
           if (data.code === 0) {
             this.$message.success({
               message: '设备解绑成功',
@@ -290,7 +325,7 @@ export default {
 
     fetchBindDevices(agentId) {
       this.loading = true;
-      Api.device.getAgentBindDevices(agentId, ({ data }) => {
+      Api.device.getAgentBindDevices(agentId, ({data}) => {
         this.loading = false;
         if (data.code === 0) {
           this.deviceList = data.data.map(device => {
@@ -302,12 +337,14 @@ export default {
               bindTime: device.createDate,
               lastConversation: device.lastConnectedAt,
               remark: device.alias,
+              _originalRemark: device.alias,
               isEdit: false,
+              _submitting: false,
               otaSwitch: device.autoUpdate === 1,
               rawBindTime: new Date(device.createDate).getTime()
             };
           })
-            .sort((a, b) => a.rawBindTime - b.rawBindTime);
+              .sort((a, b) => a.rawBindTime - b.rawBindTime);
           this.activeSearchKeyword = "";
           this.searchKeyword = "";
         } else {
@@ -315,7 +352,7 @@ export default {
         }
       });
     },
-    headerCellClassName({ columnIndex }) {
+    headerCellClassName({columnIndex}) {
       if (columnIndex === 0) {
         return "custom-selection-header";
       }
@@ -325,14 +362,19 @@ export default {
       const firmwareType = this.firmwareTypes.find(item => item.key === type)
       return firmwareType ? firmwareType.name : type
     },
+    updateDeviceInfo(device_id, payload, callback) {
+      return Api.device.updateDeviceInfo(device_id, payload, ({data}) => {
+        callback(data.code === 0, data);
+      })
+    },
     handleOtaSwitchChange(row) {
-      Api.device.enableOtaUpgrade(row.device_id, row.otaSwitch ? 1 : 0, ({ data }) => {
+      this.updateDeviceInfo(row.device_id, {autoUpdate: row.otaSwitch ? 1 : 0}, (result, {msg}) => {
-        if (data.code === 0) {
+        if (result) {
-          this.$message.success(row.otaSwitch ? '已设置成自动升级' : '已关闭自动升级')
+          this.$message.success(row.otaSwitch ? '已设置成自动升级' : '已关闭自动升级');
-        } else {
+          return;
-          row.otaSwitch = !row.otaSwitch
-          this.$message.error(data.msg || '操作失败')
         }
+        row.otaSwitch = !row.otaSwitch
+        this.$message.error(msg || '操作失败')
       })
     },
   }
@@ -645,7 +687,6 @@ export default {
 }
 
 
-
 :deep(.el-table .el-button--text) {
   color: #7079aa;
 }

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

@@ -538,7 +538,7 @@ export default {
 
 .data-table {
     border-radius: 6px;
-    overflow-y: auto;
+    overflow-y: hidden;
     background-color: transparent !important;
     --table-max-height: calc(100vh - 40vh);
     max-height: var(--table-max-height);

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

@@ -143,9 +143,11 @@ export default {
         { value: "ASR", label: "语音识别" },
         { value: "TTS", label: "语音合成" },
         { value: "LLM", label: "大语言模型" },
+        { value: "VLLM", label: "视觉大语言模型" },
         { value: "Intent", label: "意图识别" },
         { value: "Memory", label: "记忆模块" },
-        { value: "VAD", label: "语音活动检测" }
+        { value: "VAD", label: "语音活动检测" },
+        { value: "Plugin", label: "插件工具" }
       ],
       currentPage: 1,
       loading: false,

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

@@ -97,19 +97,12 @@
                             popper-class="custom-tooltip">
                             <div slot="content">
                               <div><strong>功能名称:</strong> {{ func.name }}</div>
-                              <div v-if="Object.keys(func.params).length > 0">
-                                <strong>参数配置:</strong>
-                                <div v-for="(value, key) in func.params" :key="key">
-                                  {{ key }}: {{ value }}
-                                </div>
-                              </div>
-                              <div v-else>无参数配置</div>
                             </div>
                             <div class="icon-dot" :style="{ backgroundColor: getFunctionColor(func.name) }">
                               {{ func.name.charAt(0) }}
                             </div>
                           </el-tooltip>
-                          <el-button class="edit-function-btn" @click="showFunctionDialog = true"
+                          <el-button class="edit-function-btn" @click="openFunctionDialog"
                             :class="{ 'active-btn': showFunctionDialog }">
                             编辑功能
                           </el-button>
@@ -138,7 +131,7 @@
       </div>
     </div>
 
-    <function-dialog v-model="showFunctionDialog" :functions="currentFunctions"
+    <function-dialog v-model="showFunctionDialog" :functions="currentFunctions" :all-functions="allFunctions"
       @update-functions="handleUpdateFunctions" @dialog-closed="handleDialogClosed" />
   </div>
 </template>
@@ -192,12 +185,8 @@ export default {
         '#FF6B6B', '#4ECDC4', '#45B7D1',
         '#96CEB4', '#FFEEAD', '#D4A5A5', '#A2836E'
       ],
-      allFunctions: [
+      allFunctions: [],
-        { name: '天气', params: {} },
+      originalFunctions: [],
-        { name: '新闻', params: {} },
-        { name: '工具', params: {} },
-        { name: '退出', params: {} }
-      ],
     }
   },
   methods: {
@@ -222,7 +211,12 @@ export default {
         langCode: this.form.langCode,
         language: this.form.language,
         sort: this.form.sort,
-        functions: this.currentFunctions
+        functions: this.currentFunctions.map(item => {
+          return ({
+            pluginId: item.id,
+            paramInfo: item.params
+          })
+        })
       };
       Api.agent.updateAgentConfig(this.$route.query.agentId, configData, ({ data }) => {
         if (data.code === 0) {
@@ -269,7 +263,8 @@ export default {
           message: '配置已重置',
           showClose: true
         })
-      }).catch(() => { });
+      }).catch(() => {
+      });
     },
     fetchTemplates() {
       Api.agent.getAgentTemplate(({ data }) => {
@@ -335,7 +330,33 @@ export default {
               intentModelId: data.data.intentModelId
             }
           };
-          this.currentFunctions = data.data.functions || [];
+          // 后端只给了最小映射：[{ id, agentId, pluginId }, ...]
+          const savedMappings = data.data.functions || [];
+
+          // 先保证 allFunctions 已经加载（如果没有，则先 fetchAllFunctions）
+          const ensureFuncs = this.allFunctions.length
+            ? Promise.resolve()
+            : this.fetchAllFunctions();
+
+          ensureFuncs.then(() => {
+            // 合并：按照 pluginId（id 字段）把全量元数据信息补齐
+            this.currentFunctions = savedMappings.map(mapping => {
+              const meta = this.allFunctions.find(f => f.id === mapping.pluginId);
+              if (!meta) {
+                // 插件定义没找到，退化处理
+                return { id: mapping.pluginId, name: mapping.pluginId, params: {} };
+              }
+              return {
+                id: mapping.pluginId,
+                name: meta.name,
+                // 后端如果还有 paramInfo 字段就用 mapping.paramInfo，否则用 meta.params 默认值
+                params: mapping.paramInfo || { ...meta.params },
+                fieldsMeta: meta.fieldsMeta  // 保留以便对话框渲染 tooltip
+              };
+            });
+            // 备份原始，以备取消时恢复
+            this.originalFunctions = JSON.parse(JSON.stringify(this.currentFunctions));
+          });
         } else {
           this.$message.error(data.msg || '获取配置失败');
         }
@@ -373,17 +394,15 @@ export default {
     },
     getFunctionColor(name) {
       const hash = [...name].reduce((acc, char) => acc + char.charCodeAt(0), 0);
-      return this.functionColorMap[hash % 7];
+      return this.functionColorMap[hash % this.functionColorMap.length];
     },
     showFunctionIcons(type) {
-      // TODO 暂时不放出来
+      return type === 'Intent' &&
-      return false;
+        this.form.model.intentModelId !== 'Intent_nointent';
-      // return type === 'Intent' &&
-      //   this.form.model.intentModelId !== 'Intent_nointent';
     },
     handleModelChange(type, value) {
       if (type === 'Intent' && value !== 'Intent_nointent') {
-        this.fetchFunctionList();
+        this.fetchAllFunctions();
       }
       if (type === 'Memory' && value === 'Memory_nomem') {
         this.form.chatHistoryConf = 0;
@@ -392,28 +411,44 @@ export default {
         this.form.chatHistoryConf = 2;
       }
     },
-    fetchFunctionList() {
+    fetchAllFunctions() {
-      // 使用假数据代替API调用
+      return new Promise((resolve, reject) => {
-      return new Promise(resolve => {
+        Api.model.getPluginFunctionList(null, ({ data }) => {
-        setTimeout(() => {
+          if (data.code === 0) {
-          this.currentFunctions = [
+            this.allFunctions = data.data.map(item => {
-            { name: '天气', params: { city: '北京' } },
+              const meta = JSON.parse(item.fields || '[]');
-            { name: '新闻', params: { type: '科技' } }
+              const params = meta.reduce((m, f) => {
-          ];
+                m[f.key] = f.default;
-          resolve();
+                return m;
-        }, 500);
+              }, {});
+              return { ...item, fieldsMeta: meta, params };
+            });
+            resolve();
+          } else {
+            this.$message.error(data.msg || '获取插件列表失败');
+            reject();
+          }
+        });
       });
     },
+    openFunctionDialog() {
+      // 显示编辑对话框时，确保 allFunctions 已经加载
+      if (this.allFunctions.length === 0) {
+        this.fetchAllFunctions().then(() => this.showFunctionDialog = true);
+      } else {
+        this.showFunctionDialog = true;
+      }
+    },
     handleUpdateFunctions(selected) {
       this.currentFunctions = selected;
-      console.log('保存的功能列表:', selected);
-      this.$message.success('功能配置已保存');
     },
     handleDialogClosed(saved) {
       if (!saved) {
-        // 如果未保存，恢复原始功能列表
         this.currentFunctions = JSON.parse(JSON.stringify(this.originalFunctions));
+      } else {
+        this.originalFunctions = JSON.parse(JSON.stringify(this.currentFunctions));
       }
+      this.showFunctionDialog = false;
     },
     updateChatHistoryConf() {
       if (this.form.model.memModelId === 'Memory_nomem') {
@@ -446,9 +481,7 @@ export default {
     const agentId = this.$route.query.agentId;
     if (agentId) {
       this.fetchAgentConfig(agentId);
-      this.fetchFunctionList().then(() => {
+      this.fetchAllFunctions();
-        this.originalFunctions = JSON.parse(JSON.stringify(this.currentFunctions));
-      });
     }
     this.fetchModelOptions();
     this.fetchTemplates();

main/xiaozhi-server/config.yaml

@@ -117,10 +117,9 @@ plugins:
   # 更多类型的新闻列表查看 https://www.chinanews.com.cn/rss/
   get_news_from_chinanews:
     default_rss_url: "https://www.chinanews.com.cn/rss/society.xml"
-    category_urls:
+    society_rss_url: "https://www.chinanews.com.cn/rss/society.xml"
-      society: "https://www.chinanews.com.cn/rss/society.xml"
+    world_rss_url: "https://www.chinanews.com.cn/rss/world.xml"
-      world: "https://www.chinanews.com.cn/rss/world.xml"
+    finance_rss_url: "https://www.chinanews.com.cn/rss/finance.xml"
-      finance: "https://www.chinanews.com.cn/rss/finance.xml"
   get_news_from_newsnow: {"url": "https://newsnow.busiyi.world/api/s?id="}
   home_assistant:
     devices:
@@ -324,7 +323,7 @@ VAD:
     type: silero
     threshold: 0.5
     model_dir: models/snakers4_silero-vad
-    min_silence_duration_ms: 700  # 如果说话停顿比较长，可以把这个值设置大一些
+    min_silence_duration_ms: 200  # 如果说话停顿比较长，可以把这个值设置大一些
 
 LLM:
   # 所有openai类型均可以修改超参，以AliLLM为例
@@ -755,4 +754,15 @@ TTS:
     headers: # 自定义请求头
       # Authorization: Bearer xxxx
     format: mp3 # 接口返回的音频格式
+    output_dir: tmp/
+  LinkeraiTTS:
+    type: linkerai
+    api_url: https://tts.linkerai.cn/tts
+    audio_format: "pcm"
+    # 默认的access_token供大家测试时免费使用的，此access_token请勿用于商业用途
+    # 如果效果不错，可自行申请token，申请地址：https://linkerai.cn
+    # 各参数意义见开发文档：https://tts.linkerai.cn/docs
+    # 支持声音克隆，可自行上传音频，填入voice参数，voice参数为空时，使用默认声音
+    access_token: "U4YdYXVfpwWnk2t5Gp822zWPCuORyeJL"
+    voice: "OUeAo1mhq6IBExi"
     output_dir: tmp/

main/xiaozhi-server/config/logger.py

@@ -3,8 +3,9 @@ import sys
 from loguru import logger
 from config.config_loader import load_config
 from config.settings import check_config_file
+from datetime import datetime
 
-SERVER_VERSION = "0.5.4"
+SERVER_VERSION = "0.5.8"
 _logger_initialized = False
 
 
@@ -59,7 +60,7 @@ def setup_logging():
         )
         log_format_file = log_config.get(
             "log_format_file",
-            "{time:YYYY-MM-DD HH:mm:ss} - {version_{extra[selected_module]}} - {name} - {level} - {extra[tag]} - {message}",
+            "{time:YYYY-MM-DD HH:mm:ss} - {version}_{extra[selected_module]} - {name} - {level} - {extra[tag]} - {message}",
         )
         selected_module_str = logger._core.extra["selected_module"]
 
@@ -84,12 +85,23 @@ def setup_logging():
         # 输出到控制台
         logger.add(sys.stdout, format=log_format, level=log_level, filter=formatter)
 
-        # 输出到文件
+        # 输出到文件 - 统一目录，按大小轮转
+        # 日志文件完整路径
+        log_file_path = os.path.join(log_dir, log_file)
+        
+        # 添加日志处理器
         logger.add(
-            os.path.join(log_dir, log_file),
+            log_file_path,
             format=log_format_file,
             level=log_level,
             filter=formatter,
+            rotation="10 MB",  # 每个文件最大10MB
+            retention="30 days",  # 保留30天
+            compression=None,
+            encoding="utf-8",
+            enqueue=True,  # 异步安全
+            backtrace=True,
+            diagnose=True,
         )
         _logger_initialized = True  # 标记为已初始化
 
@@ -102,6 +114,7 @@ def update_module_string(selected_module_str):
     current_module = logger._core.extra["selected_module"]
 
     if current_module == selected_module_str:
+        logger.debug(f"组件未更改无需更新")
         return
 
     try:
@@ -116,7 +129,7 @@ def update_module_string(selected_module_str):
         )
         log_format_file = log_config.get(
             "log_format_file",
-            "{time:YYYY-MM-DD HH:mm:ss} - {version_{extra[selected_module]}} - {name} - {level} - {extra[tag]} - {message}",
+            "{time:YYYY-MM-DD HH:mm:ss} - {version}_{extra[selected_module]} - {name} - {level} - {extra[tag]} - {message}",
         )
 
         log_format = log_format.replace("{version}", SERVER_VERSION)
@@ -133,14 +146,26 @@ def update_module_string(selected_module_str):
             level=log_config.get("log_level", "INFO"),
             filter=formatter,
         )
+        
+        # 更新文件日志配置 - 统一目录，按大小轮转
+        log_dir = log_config.get("log_dir", "tmp")
+        log_file = log_config.get("log_file", "server.log")
+        
+        # 日志文件完整路径
+        log_file_path = os.path.join(log_dir, log_file)
+        
         logger.add(
-            os.path.join(
+            log_file_path,
-                log_config.get("log_dir", "tmp"),
-                log_config.get("log_file", "server.log"),
-            ),
             format=log_format_file,
             level=log_config.get("log_level", "INFO"),
             filter=formatter,
+            rotation="10 MB",  # 每个文件最大10MB
+            retention="30 days",  # 保留30天
+            compression=None,
+            encoding="utf-8",
+            enqueue=True,  # 异步安全
+            backtrace=True,
+            diagnose=True,
         )
 
     except Exception as e:

main/xiaozhi-server/core/api/vision_handler.py

@@ -8,6 +8,7 @@ from config.config_loader import get_private_config_from_api
 from core.utils.auth import AuthToken
 import base64
 from typing import Tuple, Optional
+from plugins_func.register import Action
 
 TAG = __name__
 
@@ -55,11 +56,7 @@ class VisionHandler:
             device_id = request.headers.get("Device-Id", "")
             client_id = request.headers.get("Client-Id", "")
             if device_id != token_device_id:
-                return web.Response(
+                raise ValueError("设备ID与token不匹配")
-                    text=json.dumps(self._create_error_response("设备ID与token不匹配")),
-                    content_type="application/json",
-                    status=401,
-                )
             # 解析multipart/form-data请求
             reader = await request.multipart()
 
@@ -126,7 +123,8 @@ class VisionHandler:
 
             return_json = {
                 "success": True,
-                "result": result,
+                "action": Action.RESPONSE.name,
+                "response": result,
             }
 
             response = web.Response(

main/xiaozhi-server/core/connection.py

@@ -115,6 +115,7 @@ class ConnectionHandler:
         self.client_have_voice_last_time = 0.0
         self.client_no_voice_last_time = 0.0
         self.client_voice_stop = False
+        self.client_voice_frame_count = 0
 
         # asr相关变量
         # 因为实际部署时可能会用到公共的本地ASR，不能把变量暴露给公共ASR
@@ -424,6 +425,16 @@ class ConnectionHandler:
         init_vad = check_vad_update(self.common_config, private_config)
         init_asr = check_asr_update(self.common_config, private_config)
 
+        if init_vad:
+            self.config["VAD"] = private_config["VAD"]
+            self.config["selected_module"]["VAD"] = private_config["selected_module"][
+                "VAD"
+            ]
+        if init_asr:
+            self.config["ASR"] = private_config["ASR"]
+            self.config["selected_module"]["ASR"] = private_config["selected_module"][
+                "ASR"
+            ]
         if private_config.get("TTS", None) is not None:
             init_tts = True
             self.config["TTS"] = private_config["TTS"]
@@ -445,9 +456,17 @@ class ConnectionHandler:
         if private_config.get("Intent", None) is not None:
             init_intent = True
             self.config["Intent"] = private_config["Intent"]
-            self.config["selected_module"]["Intent"] = private_config[
+            model_intent = private_config.get("selected_module", {}).get("Intent", {})
-                "selected_module"
+            self.config["selected_module"]["Intent"] = model_intent
-            ]["Intent"]
+            # 加载插件配置
+            if model_intent != "Intent_nointent":
+                plugin_from_server = private_config.get("plugins", {})
+                for plugin, config_str in plugin_from_server.items():
+                    plugin_from_server[plugin] = json.loads(config_str)
+                self.config["plugins"] = plugin_from_server
+                self.config["Intent"][self.config["selected_module"]["Intent"]][
+                    "functions"
+                ] = plugin_from_server.keys()
         if private_config.get("prompt", None) is not None:
             self.config["prompt"] = private_config["prompt"]
         if private_config.get("summaryMemory", None) is not None:
@@ -609,10 +628,10 @@ class ConnectionHandler:
                 )
                 memory_str = future.result()
 
-            uuid_str = str(uuid.uuid4()).replace("-", "")
+            self.sentence_id = str(uuid.uuid4().hex)
-            self.sentence_id = uuid_str
 
-            if functions is not None:
+
+            if self.intent_type == "function_call" and functions is not None:
                 # 使用支持functions的streaming接口
                 llm_responses = self.llm.response_with_functions(
                     self.session_id,
@@ -639,7 +658,7 @@ class ConnectionHandler:
         for response in llm_responses:
             if self.client_abort:
                 break
-            if functions is not None:
+            if self.intent_type == "function_call" and functions is not None:
                 content, tools_call = response
                 if "content" in response:
                     content = response["content"]
@@ -651,7 +670,7 @@ class ConnectionHandler:
                     # print("content_arguments", content_arguments)
                     tool_call_flag = True
 
-                if tools_call is not None:
+                if tools_call is not None and len(tools_call) > 0:
                     tool_call_flag = True
                     if tools_call[0].id is not None:
                         function_id = tools_call[0].id
@@ -733,9 +752,31 @@ class ConnectionHandler:
                             self.loop,
                         ).result()
                         self.logger.bind(tag=TAG).debug(f"MCP工具调用结果: {result}")
-                        result = ActionResponse(
+
-                            action=Action.REQLLM, result=result, response=""
+                        resultJson = None
-                        )
+                        if isinstance(result, str):
+                            try:
+                                resultJson = json.loads(result)
+                            except Exception as e:
+                                self.logger.bind(tag=TAG).error(
+                                    f"解析MCP工具返回结果失败: {e}"
+                                )
+
+                        # 视觉大模型不经过二次LLM处理
+                        if (
+                            resultJson is not None
+                            and isinstance(resultJson, dict)
+                            and "action" in resultJson
+                        ):
+                            result = ActionResponse(
+                                action=Action[resultJson["action"]],
+                                result=None,
+                                response=resultJson.get("response", ""),
+                            )
+                        else:
+                            result = ActionResponse(
+                                action=Action.REQLLM, result=result, response=""
+                            )
                     except Exception as e:
                         self.logger.bind(tag=TAG).error(f"MCP工具调用失败: {e}")
                         result = ActionResponse(

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

@@ -21,26 +21,12 @@ class FunctionHandler:
         self.register_nessary_functions()
         self.register_config_functions()
         self.functions_desc = self.function_registry.get_all_function_desc()
-        func_names = self.current_support_functions()
-        self.modify_plugin_loader_des(func_names)
         self.finish_init = True
-
+    
-    def modify_plugin_loader_des(self, func_names):
-        if "plugin_loader" not in func_names:
-            return
-        # 可编辑的列表中去掉plugin_loader
-        surport_plugins = [func for func in func_names if func != "plugin_loader"]
-        func_names = ",".join(surport_plugins)
-        for function_desc in self.functions_desc:
-            if function_desc["function"]["name"] == "plugin_loader":
-                function_desc["function"]["description"] = function_desc["function"][
-                    "description"
-                ].replace("[plugins]", func_names)
-                break
-
     def upload_functions_desc(self):
         self.functions_desc = self.function_registry.get_all_function_desc()
 
+
     def current_support_functions(self):
         func_names = []
         for func in self.functions_desc:
@@ -58,10 +44,8 @@ class FunctionHandler:
     def register_nessary_functions(self):
         """注册必要的函数"""
         self.function_registry.register_function("handle_exit_intent")
-        self.function_registry.register_function("plugin_loader")
         self.function_registry.register_function("get_time")
         self.function_registry.register_function("get_lunar")
-        # self.function_registry.register_function("handle_speaker_volume_or_screen_brightness")
 
     def register_config_functions(self):
         """注册配置中的函数,可以不同客户端使用不同的配置"""

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

@@ -1,30 +1,32 @@
-import os
 import time
 import json
 import random
-import shutil
 import asyncio
-from core.handle.sendAudioHandle import send_stt_message
+from core.utils.dialogue import Message
-from core.utils.util import remove_punctuation_and_length
+from core.utils.util import audio_to_data
-from core.providers.tts.dto.dto import ContentType, InterfaceType
+from core.handle.sendAudioHandle import sendAudioMessage, send_stt_message
+from core.utils.util import remove_punctuation_and_length, opus_datas_to_wav_bytes
+from core.providers.tts.dto.dto import ContentType, SentenceType
 from core.handle.mcpHandle import (
     MCPClient,
     send_mcp_initialize_message,
     send_mcp_tools_list_request,
 )
-
+from core.utils.wakeup_word import WakeupWordsConfig
 
 TAG = __name__
 
 WAKEUP_CONFIG = {
-    "dir": "config/assets/",
+    "refresh_time": 5,
-    "file_name": "wakeup_words",
+    "words": ["你好", "你好啊", "嘿，你好", "嗨"],
-    "create_time": time.time(),
-    "refresh_time": 10,
-    "words": ["你好小智", "你好啊小智", "小智你好", "小智"],
-    "text": "",
 }
 
+# 创建全局的唤醒词配置管理器
+wakeup_words_config = WakeupWordsConfig()
+
+# 用于防止并发调用wakeupWordsResponse的锁
+_wakeup_response_lock = asyncio.Lock()
+
 
 async def handleHelloMessage(conn, msg_json):
     """处理hello消息"""
@@ -53,85 +55,87 @@ async def checkWakeupWords(conn, text):
     enable_wakeup_words_response_cache = conn.config[
         "enable_wakeup_words_response_cache"
     ]
-    """是否用的是非流式tts"""
+
-    if conn.tts and conn.tts.interface_type != InterfaceType.NON_STREAM:
+    if not enable_wakeup_words_response_cache or not conn.tts:
         return False
 
-    """是否开启唤醒词加速"""
-    if not enable_wakeup_words_response_cache:
-        return False
-    """检查是否是唤醒词"""
     _, filtered_text = remove_punctuation_and_length(text)
-    if filtered_text in conn.config.get("wakeup_words"):
+    if filtered_text not in conn.config.get("wakeup_words"):
-        # 设置刚刚被唤醒的标志
+        return False
-        conn.just_woken_up = True
-        await send_stt_message(conn, text)
 
-        file = getWakeupWordFile(WAKEUP_CONFIG["file_name"])
+    conn.just_woken_up = True
-        if file is None:
+    await send_stt_message(conn, text)
+
+    # 获取当前音色
+    voice = getattr(conn.tts, "voice", "default")
+    if not voice:
+        voice = "default"
+
+    # 获取唤醒词回复配置
+    response = wakeup_words_config.get_wakeup_response(voice)
+    if not response or not response.get("file_path"):
+        response = {
+            "voice": "default",
+            "file_path": "config/assets/wakeup_words.wav",
+            "time": 0,
+            "text": "哈啰啊，我是小智啦，声音好听的台湾女孩一枚，超开心认识你耶，最近在忙啥，别忘了给我来点有趣的料哦，我超爱听八卦的啦",
+        }
+
+    # 播放唤醒词回复
+    conn.client_abort = False
+    opus_packets, _ = audio_to_data(response.get("file_path"))
+
+    conn.logger.bind(tag=TAG).info(f"播放唤醒词回复: {response.get('text')}")
+    await sendAudioMessage(conn, SentenceType.FIRST, opus_packets, response.get("text"))
+    await sendAudioMessage(conn, SentenceType.LAST, [], None)
+
+    # 补充对话
+    conn.dialogue.put(Message(role="assistant", content=response.get("text")))
+
+    # 检查是否需要更新唤醒词回复
+    if time.time() - response.get("time", 0) > WAKEUP_CONFIG["refresh_time"]:
+        if not _wakeup_response_lock.locked():
             asyncio.create_task(wakeupWordsResponse(conn))
-            return False
+    return True
-        text_hello = WAKEUP_CONFIG["text"]
-        if not text_hello:
-            text_hello = text
-        if conn.tts is None:
-            return False
-        conn.tts.tts_one_sentence(
-            conn, ContentType.FILE, content_file=file, content_detail=text_hello
-        )
-        if time.time() - WAKEUP_CONFIG["create_time"] > WAKEUP_CONFIG["refresh_time"]:
-            asyncio.create_task(wakeupWordsResponse(conn))
-        return True
-    return False
-
-
-def getWakeupWordFile(file_name):
-    for file in os.listdir(WAKEUP_CONFIG["dir"]):
-        if file.startswith("my_" + file_name):
-            """避免缓存文件是一个空文件"""
-            if os.stat(f"config/assets/{file}").st_size > (15 * 1024):
-                return f"config/assets/{file}"
-
-    """查找config/assets/目录下名称为wakeup_words的文件"""
-    for file in os.listdir(WAKEUP_CONFIG["dir"]):
-        if file.startswith(file_name):
-            return f"config/assets/{file}"
-    return None
 
 
 async def wakeupWordsResponse(conn):
-    wait_max_time = 5
+    if not conn.tts or not conn.llm or not conn.llm.response_no_stream:
-    while conn.llm is None or not conn.llm.response_no_stream:
+        return
-        await asyncio.sleep(1)
+
-        wait_max_time -= 1
+    try:
-        if wait_max_time <= 0:
+        # 尝试获取锁，如果获取不到就返回
-            conn.logger.bind(tag=TAG).error("连接对象没有llm")
+        if not await _wakeup_response_lock.acquire():
             return
 
-    """唤醒词响应"""
+        # 生成唤醒词回复
-    wakeup_word = random.choice(WAKEUP_CONFIG["words"])
+        wakeup_word = random.choice(WAKEUP_CONFIG["words"])
-    question = (
+        question = (
-        "此刻用户正在和你说```"
+            "此刻用户正在和你说```"
-        + wakeup_word
+            + wakeup_word
-        + "```。\n请你根据以上用户的内容，进行简短回复，文字内容控制在15个字以内。\n"
+            + "```。\n请你根据以上用户的内容进行20-30字回复。要符合系统设置的角色情感和态度，不要像机器人一样说话。\n"
-        + "请勿对这条内容本身进行任何解释和回应，仅返回对用户的内容的回复。"
+            + "请勿对这条内容本身进行任何解释和回应，请勿返回表情符号，仅返回对用户的内容的回复。"
-    )
-    result = conn.llm.response_no_stream(conn.config["prompt"], question)
-    if result is None or result == "":
-        return
-    tts_file = await asyncio.to_thread(conn.tts.to_tts, result)
-
-    if tts_file is not None and os.path.exists(tts_file):
-        file_type = os.path.splitext(tts_file)[1]
-        if file_type:
-            file_type = file_type.lstrip(".")
-        old_file = getWakeupWordFile("my_" + WAKEUP_CONFIG["file_name"])
-        if old_file is not None:
-            os.remove(old_file)
-        """将文件挪到"wakeup_words.mp3"""
-        shutil.move(
-            tts_file,
-            WAKEUP_CONFIG["dir"] + "my_" + WAKEUP_CONFIG["file_name"] + "." + file_type,
         )
-        WAKEUP_CONFIG["create_time"] = time.time()
+
-        WAKEUP_CONFIG["text"] = result
+        result = conn.llm.response_no_stream(conn.config["prompt"], question)
+        if not result or len(result) == 0:
+            return
+
+        # 生成TTS音频
+        tts_result = await asyncio.to_thread(conn.tts.to_tts, result)
+        if not tts_result:
+            return
+
+        # 获取当前音色
+        voice = getattr(conn.tts, "voice", "default")
+
+        wav_bytes = opus_datas_to_wav_bytes(tts_result, sample_rate=16000)
+        file_path = wakeup_words_config.generate_file_path(voice)
+        with open(file_path, "wb") as f:
+            f.write(wav_bytes)
+        # 更新配置
+        wakeup_words_config.update_wakeup_response(voice, file_path, result)
+    finally:
+        # 确保在任何情况下都释放锁
+        if _wakeup_response_lock.locked():
+            _wakeup_response_lock.release()

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

@@ -1,11 +1,13 @@
 import json
+import asyncio
 import uuid
 from core.handle.sendAudioHandle import send_stt_message
 from core.handle.helloHandle import checkWakeupWords
 from core.utils.util import remove_punctuation_and_length
 from core.providers.tts.dto.dto import ContentType
 from core.utils.dialogue import Message
-from plugins_func.register import Action
+from core.handle.mcpHandle import call_mcp_tool
+from plugins_func.register import Action, ActionResponse
 from loguru import logger
 
 TAG = __name__
@@ -82,9 +84,11 @@ async def process_intent_result(conn, intent_result, original_text):
                 if not funcItem:
                     conn.func_handler.function_registry.register_function("play_music")
 
-            function_args = None
+            function_args = {}
             if "arguments" in intent_data["function_call"]:
                 function_args = intent_data["function_call"]["arguments"]
+                if function_args is None:
+                    function_args = {}
             # 确保参数是字符串格式的JSON
             if isinstance(function_args, dict):
                 function_args = json.dumps(function_args)
@@ -101,10 +105,38 @@ async def process_intent_result(conn, intent_result, original_text):
             # 使用executor执行函数调用和结果处理
             def process_function_call():
                 conn.dialogue.put(Message(role="user", content=original_text))
-                result = conn.func_handler.handle_llm_function_call(
+
-                    conn, function_call_data
+                # 处理Server端MCP工具调用
-                )
+                if conn.mcp_manager.is_mcp_tool(function_name):
-                logger.bind(tag=TAG).debug(f"检测到Action : {result.action}")
+                    result = conn._handle_mcp_tool_call(function_call_data)
+                elif hasattr(conn, "mcp_client") and conn.mcp_client.has_tool(
+                    function_name
+                ):
+                    # 如果是小智端MCP工具调用
+                    conn.logger.bind(tag=TAG).debug(
+                        f"调用小智端MCP工具: {function_name}, 参数: {function_args}"
+                    )
+                    try:
+                        result = asyncio.run_coroutine_threadsafe(
+                            call_mcp_tool(
+                                conn, conn.mcp_client, function_name, function_args
+                            ),
+                            conn.loop,
+                        ).result()
+                        conn.logger.bind(tag=TAG).debug(f"MCP工具调用结果: {result}")
+                        result = ActionResponse(
+                            action=Action.REQLLM, result=result, response=""
+                        )
+                    except Exception as e:
+                        conn.logger.bind(tag=TAG).error(f"MCP工具调用失败: {e}")
+                        result = ActionResponse(
+                            action=Action.REQLLM, result="MCP工具调用失败", response=""
+                        )
+                else:
+                    # 处理系统函数
+                    result = conn.func_handler.handle_llm_function_call(
+                        conn, function_call_data
+                    )
 
                 if result:
                     if result.action == Action.RESPONSE:  # 直接回复前端

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

@@ -339,6 +339,7 @@ async def handleIotDescriptors(conn, descriptors):
     # 如果注册了新函数，更新function描述列表
     if functions_changed and hasattr(conn, "func_handler"):
         conn.func_handler.upload_functions_desc()
+
         func_names = conn.func_handler.current_support_functions()
         conn.logger.bind(tag=TAG).info(f"设备类型: {type_id}")
         conn.logger.bind(tag=TAG).info(

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

@@ -1,7 +1,7 @@
 import json
 import asyncio
 from concurrent.futures import Future
-from core.utils.util import get_vision_url
+from core.utils.util import get_vision_url, sanitize_tool_name
 from core.utils.auth import AuthToken
 
 TAG = __name__
@@ -11,7 +11,8 @@ class MCPClient:
     """MCPClient，用于管理MCP状态和工具"""
 
     def __init__(self):
-        self.tools = {}  # Dictionary for O(1) lookup
+        self.tools = {}  # sanitized_name -> tool_data
+        self.name_mapping = {}
         self.ready = False
         self.call_results = {}  # To store Futures for tool call responses
         self.next_id = 1
@@ -30,7 +31,7 @@ class MCPClient:
         result = []
         for tool_name, tool_data in self.tools.items():
             function_def = {
-                "name": tool_data["name"],
+                "name": tool_name,
                 "description": tool_data["description"],
                 "parameters": {
                     "type": tool_data["inputSchema"].get("type", "object"),
@@ -53,7 +54,9 @@ class MCPClient:
 
     async def add_tool(self, tool_data: dict):
         async with self.lock:
-            self.tools[tool_data["name"]] = tool_data
+            sanitized_name = sanitize_tool_name(tool_data["name"])
+            self.tools[sanitized_name] = tool_data
+            self.name_mapping[sanitized_name] = tool_data["name"]
             self._cached_available_tools = (
                 None  # Invalidate the cache when a tool is added
             )
@@ -133,9 +136,6 @@ async def handle_mcp_message(conn, mcp_client: MCPClient, payload: dict):
                 conn.logger.bind(tag=TAG).info(
                     f"客户端MCP服务器信息: name={name}, version={version}"
                 )
-            await send_mcp_tools_list_request(
-                conn
-            )  # After initialization, request tool list
             return
 
         elif msg_id == 2:  # mcpToolsListID
@@ -174,6 +174,20 @@ async def handle_mcp_message(conn, mcp_client: MCPClient, payload: dict):
                     await mcp_client.add_tool(new_tool)
                     conn.logger.bind(tag=TAG).debug(f"客户端工具 #{i+1}: {name}")
 
+                # 替换所有工具描述中的工具名称
+                for tool_data in mcp_client.tools.values():
+                    if "description" in tool_data:
+                        description = tool_data["description"]
+                        # 遍历所有工具名称进行替换
+                        for (
+                            sanitized_name,
+                            original_name,
+                        ) in mcp_client.name_mapping.items():
+                            description = description.replace(
+                                original_name, sanitized_name
+                            )
+                        tool_data["description"] = description
+
                 next_cursor = result.get("nextCursor", "")
                 if next_cursor:
                     conn.logger.bind(tag=TAG).info(
@@ -219,8 +233,6 @@ async def send_mcp_initialize_message(conn):
         "token": token,
     }
 
-    conn.logger.bind(tag=TAG).info(f"视觉服务信息: {vision}")
-
     payload = {
         "jsonrpc": "2.0",
         "id": 1,  # mcpInitializeID
@@ -333,15 +345,16 @@ async def call_mcp_tool(
             raise ValueError(f"参数处理失败: {str(e)}")
         raise e
 
+    actual_name = mcp_client.name_mapping.get(tool_name, tool_name)
     payload = {
         "jsonrpc": "2.0",
         "id": tool_call_id,
         "method": "tools/call",
-        "params": {"name": tool_name, "arguments": arguments},
+        "params": {"name": actual_name, "arguments": arguments},
     }
 
     conn.logger.bind(tag=TAG).info(
-        f"发送客户端mcp工具调用请求: {tool_name}，参数: {args}"
+        f"发送客户端mcp工具调用请求: {actual_name}，参数: {args}"
     )
     await send_mcp_message(conn, payload)
 
@@ -349,7 +362,7 @@ async def call_mcp_tool(
         # Wait for response or timeout
         raw_result = await asyncio.wait_for(result_future, timeout=timeout)
         conn.logger.bind(tag=TAG).info(
-            f"客户端mcp工具调用 {tool_name} 成功，原始结果: {raw_result}"
+            f"客户端mcp工具调用 {actual_name} 成功，原始结果: {raw_result}"
         )
 
         if isinstance(raw_result, dict):

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

@@ -13,12 +13,14 @@ TAG = __name__
 async def handleAudioMessage(conn, audio):
     # 当前片段是否有人说话
     have_voice = conn.vad.is_vad(conn, audio)
-
     # 如果设备刚刚被唤醒，短暂忽略VAD检测
-    if hasattr(conn, "just_woken_up") and conn.just_woken_up:
+    if have_voice and hasattr(conn, "just_woken_up") and conn.just_woken_up:
         have_voice = False
         # 设置一个短暂延迟后恢复VAD检测
-        asyncio.create_task(resume_vad_detection(conn))
+        conn.asr_audio.clear()
+        if not hasattr(conn, "vad_resume_task") or conn.vad_resume_task.done():
+            conn.vad_resume_task = asyncio.create_task(resume_vad_detection(conn))
+        return
 
     if have_voice:
         if conn.client_is_speaking:
@@ -31,7 +33,7 @@ async def handleAudioMessage(conn, audio):
 
 async def resume_vad_detection(conn):
     # 等待2秒后恢复VAD检测
-    await asyncio.sleep(2)
+    await asyncio.sleep(1)
     conn.just_woken_up = False
 
 

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

@@ -34,6 +34,7 @@ emoji_map = {
 
 async def sendAudioMessage(conn, sentenceType, audios, text):
     # 发送句子开始消息
+    conn.logger.bind(tag=TAG).info(f"发送音频消息: {sentenceType}, {text}")
     if text is not None:
         emotion = analyze_emotion(text)
         emoji = emoji_map.get(emotion, "🙂")  # 默认使用笑脸

main/xiaozhi-server/core/mcp/MCPClient.py

@@ -9,6 +9,7 @@ from mcp import ClientSession, StdioServerParameters
 from mcp.client.stdio import stdio_client
 from mcp.client.sse import sse_client
 from config.logger import setup_logging
+from core.utils.util import sanitize_tool_name
 
 TAG = __name__
 
@@ -23,7 +24,9 @@ class MCPClient:
         self._shutdown_evt = asyncio.Event()
 
         self.session: Optional[ClientSession] = None
-        self.tools: List = []
+        self.tools: List = []  # original tool objects
+        self.tools_dict: Dict[str, Any] = {}
+        self.name_mapping: Dict[str, str] = {}
 
     async def initialize(self):
         if self._worker_task:
@@ -32,7 +35,7 @@ class MCPClient:
         await self._ready_evt.wait()
 
         self.logger.bind(tag=TAG).info(
-            f"Connected, tools = {[t.name for t in self.tools]}"
+            f"Connected, tools = {[name for name in self.name_mapping.values()]}"
         )
 
     async def cleanup(self):
@@ -48,27 +51,28 @@ class MCPClient:
             self._worker_task = None
 
     def has_tool(self, name: str) -> bool:
-        return any(t.name == name for t in self.tools)
+        return name in self.tools_dict
 
     def get_available_tools(self):
         return [
             {
                 "type": "function",
                 "function": {
-                    "name": t.name,
+                    "name": name,
-                    "description": t.description,
+                    "description": tool.description,
-                    "parameters": t.inputSchema,
+                    "parameters": tool.inputSchema,
                 },
             }
-            for t in self.tools
+            for name, tool in self.tools_dict.items()
         ]
 
     async def call_tool(self, name: str, args: dict):
         if not self.session:
             raise RuntimeError("MCPClient not initialized")
 
+        real_name = self.name_mapping.get(name, name)
         loop = self._worker_task.get_loop()
-        coro = self.session.call_tool(name, args)
+        coro = self.session.call_tool(real_name, args)
 
         if loop is asyncio.get_running_loop():
             return await coro
@@ -76,6 +80,27 @@ class MCPClient:
         fut: concurrent.futures.Future = asyncio.run_coroutine_threadsafe(coro, loop)
         return await asyncio.wrap_future(fut)
 
+    def is_connected(self) -> bool:
+        """检查MCP客户端是否连接正常
+
+        Returns:
+            bool: 如果客户端已连接并正常工作，返回True，否则返回False
+        """
+        # 检查工作任务是否存在
+        if self._worker_task is None:
+            return False
+            
+        # 检查工作任务是否已经完成或取消
+        if self._worker_task.done():
+            return False
+            
+        # 检查会话是否存在
+        if self.session is None:
+            return False
+            
+        # 所有检查都通过，连接正常
+        return True
+
     async def _worker(self):
         async with AsyncExitStack() as stack:
             try:
@@ -123,6 +148,10 @@ class MCPClient:
 
                 # 获取工具
                 self.tools = (await self.session.list_tools()).tools
+                for t in self.tools:
+                    sanitized = sanitize_tool_name(t.name)
+                    self.tools_dict[sanitized] = t
+                    self.name_mapping[sanitized] = t.name
 
                 self._ready_evt.set()
 

main/xiaozhi-server/core/mcp/manager.py

@@ -100,7 +100,7 @@ class MCPManager:
         return False
 
     async def execute_tool(self, tool_name: str, arguments: Dict[str, Any]) -> Any:
-        """执行工具调用
+        """执行工具调用，失败时会尝试重新连接
         Args:
             tool_name: 工具名称
             arguments: 工具参数
@@ -112,11 +112,64 @@ class MCPManager:
         self.conn.logger.bind(tag=TAG).info(
             f"Executing tool {tool_name} with arguments: {arguments}"
         )
-        for client in self.client.values():
+        
+        max_retries = 3  # 最大重试次数
+        retry_interval = 2  # 重试间隔(秒)
+        
+        # 找到对应的客户端
+        client_name = None
+        target_client = None
+        for name, client in self.client.items():
             if client.has_tool(tool_name):
-                return await client.call_tool(tool_name, arguments)
+                client_name = name
-
+                target_client = client
-        raise ValueError(f"Tool {tool_name} not found in any MCP server")
+                break
+        
+        if not target_client:
+            raise ValueError(f"Tool {tool_name} not found in any MCP server")
+        
+        # 带重试机制的工具调用
+        for attempt in range(max_retries):
+            try:
+                return await target_client.call_tool(tool_name, arguments)
+            except Exception as e:
+                # 最后一次尝试失败时直接抛出异常
+                if attempt == max_retries - 1:
+                    raise
+                
+                self.conn.logger.bind(tag=TAG).warning(
+                    f"执行工具 {tool_name} 失败 (尝试 {attempt+1}/{max_retries}): {e}"
+                )
+                
+                # 尝试重新连接
+                self.conn.logger.bind(tag=TAG).info(
+                    f"重试前尝试重新连接 MCP 客户端 {client_name}"
+                )
+                try:
+                    # 关闭旧的连接
+                    await target_client.cleanup()
+                    
+                    # 重新初始化客户端
+                    config = self.load_config()
+                    if client_name in config:
+                        client = MCPClient(config[client_name])
+                        await client.initialize()
+                        self.client[client_name] = client
+                        target_client = client                        
+                        self.conn.logger.bind(tag=TAG).info(
+                            f"成功重新连接 MCP 客户端: {client_name}"
+                        )
+                    else:
+                        self.conn.logger.bind(tag=TAG).error(
+                            f"Cannot reconnect MCP client {client_name}: config not found"
+                        )
+                except Exception as reconnect_error:
+                    self.conn.logger.bind(tag=TAG).error(
+                        f"Failed to reconnect MCP client {client_name}: {reconnect_error}"
+                    )
+                
+                # 等待一段时间再重试
+                await asyncio.sleep(retry_interval)
 
     async def cleanup_all(self) -> None:
         """依次关闭所有 MCPClient，不让异常阻断整体流程。"""

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

@@ -168,6 +168,7 @@ class ASRProvider(ASRProviderBase):
                 if (
                     "payload_msg" in result
                     and result["payload_msg"]["code"] != self.success_code
+                    and result["payload_msg"]["code"] != 1013  # 忽略无有效语音的错误
                 ):
                     logger.bind(tag=TAG).error(f"ASR error: {result}")
                     return None
@@ -203,6 +204,9 @@ class ASRProvider(ASRProviderBase):
                     if len(result["payload_msg"]["result"]) > 0:
                         return result["payload_msg"]["result"][0]["text"]
                     return None
+                elif "payload_msg" in result and result["payload_msg"]["code"] == 1013:
+                    # 无有效语音，返回空字符串
+                    return ""
                 else:
                     logger.bind(tag=TAG).error(f"ASR error: {result}")
                     return None

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

@@ -93,9 +93,7 @@ class ASRProvider(ASRProviderBase):
 
                     # 检查初始化响应
                     if "code" in result and result["code"] != 1000:
-                        error_msg = f"ASR服务初始化失败: {result.get('payload_msg', {}).get('message', '未知错误')}"
+                        error_msg = f"ASR服务初始化失败: {result.get('payload_msg', {}).get('error', '未知错误')}"
-                        if "payload_msg" in result:
-                            error_msg += f"\n详细错误信息: {json.dumps(result['payload_msg'], ensure_ascii=False)}"
                         logger.bind(tag=TAG).error(error_msg)
                         raise Exception(error_msg)
 
@@ -157,6 +155,11 @@ class ASRProvider(ASRProviderBase):
 
                     if "payload_msg" in result:
                         payload = result["payload_msg"]
+                        # 检查是否是错误码1013（无有效语音）
+                        if "code" in payload and payload["code"] == 1013:
+                            # 静默处理，不记录错误日志
+                            continue
+
                         if "result" in payload:
                             utterances = payload["result"].get("utterances", [])
                             # 检查duration和空文本的情况
@@ -251,7 +254,6 @@ class ASRProvider(ASRProviderBase):
             "X-Api-Access-Key": self.access_token,
             "X-Api-Resource-Id": "volc.bigasr.sauc.duration",
             "X-Api-Connect-Id": str(uuid.uuid4()),
-            "Host": "openspeech.bytedance.com",
         }
 
     def generate_header(
@@ -304,9 +306,14 @@ class ASRProvider(ASRProviderBase):
 
             # 如果是错误响应
             if message_type == 0x0F:  # SERVER_ERROR_RESPONSE
-                code = int.from_bytes(header[4:8], "big", signed=False)
+                code = int.from_bytes(res[4:8], "big", signed=False)
-                error_msg = res[8:].decode("utf-8")
+                msg_length = int.from_bytes(res[8:12], "big", signed=False)
-                return {"code": code, "error": error_msg}
+                error_msg = json.loads(res[12:].decode("utf-8"))
+                return {
+                    "code": code,
+                    "msg_length": msg_length,
+                    "payload_msg": error_msg,
+                }
 
             # 获取JSON数据（跳过12字节头部）
             try:

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

@@ -2,6 +2,7 @@ import time
 import os
 import sys
 import io
+import psutil
 from config.logger import setup_logging
 from typing import Optional, Tuple, List
 from core.providers.asr.base import ASRProviderBase
@@ -37,6 +38,13 @@ class CaptureOutput:
 class ASRProvider(ASRProviderBase):
     def __init__(self, config: dict, delete_audio_file: bool):
         super().__init__()
+        
+        # 内存检测，要求大于2G
+        min_mem_bytes = 2 * 1024 * 1024 * 1024
+        total_mem = psutil.virtual_memory().total
+        if total_mem < min_mem_bytes:
+            logger.bind(tag=TAG).error(f"可用内存不足2G，当前仅有 {total_mem / (1024*1024):.2f} MB，可能无法启动FunASR")
+        
         self.interface_type = InterfaceType.LOCAL
         self.model_dir = config.get("model_dir")
         self.output_dir = config.get("output_dir")  # 修正配置键名

main/xiaozhi-server/core/providers/intent/intent_llm/intent_llm.py

@@ -76,6 +76,14 @@ class IntentProvider(IntentProviderBase):
             '返回: {"function_call": {"name": "get_battery_level", "arguments": {"response_success": "当前电池电量为{value}%", "response_failure": "无法获取Battery的当前电量百分比"}}}\n'
             "```\n"
             "```\n"
+            "用户: 当前屏幕亮度是多少？\n"
+            '返回: {"function_call": {"name": "self_screen_get_brightness"}}\n'
+            "```\n"
+            "```\n"
+            "用户: 设置屏幕亮度为50%\n"
+            '返回: {"function_call": {"name": "self_screen_set_brightness", "arguments": {"brightness": 50}}}\n'
+            "```\n"
+            "```\n"
             "用户: 我想结束对话\n"
             '返回: {"function_call": {"name": "handle_exit_intent", "arguments": {"say_goodbye": "goodbye"}}}\n'
             "```\n"
@@ -151,13 +159,24 @@ class IntentProvider(IntentProviderBase):
 
         if self.promot == "":
             functions = conn.func_handler.get_functions()
+            if hasattr(conn, "mcp_client"):
+                mcp_tools = conn.mcp_client.get_available_tools()
+                if mcp_tools is not None and len(mcp_tools) > 0:
+                    if functions is None:
+                        functions = []
+                    functions.extend(mcp_tools)
+
             self.promot = self.get_intent_system_prompt(functions)
 
         music_config = initialize_music_handler(conn)
         music_file_names = music_config["music_file_names"]
         prompt_music = f"{self.promot}\n<musicNames>{music_file_names}\n</musicNames>"
 
-        devices = conn.config["plugins"]["home_assistant"].get("devices", [])
+        home_assistant_cfg = conn.config["plugins"].get("home_assistant")
+        if home_assistant_cfg:
+            devices = home_assistant_cfg.get("devices", [])
+        else:
+            devices = []
         if len(devices) > 0:
             hass_prompt = "\n下面是我家智能设备列表（位置，设备名，entity_id），可以通过homeassistant控制\n"
             for device in devices:

main/xiaozhi-server/core/providers/llm/coze/coze.py

@@ -23,7 +23,9 @@ class LLMProvider(LLMProviderBase):
         self.bot_id = str(config.get("bot_id"))
         self.user_id = str(config.get("user_id"))
         self.session_conversation_map = {}  # 存储session_id和conversation_id的映射
-        check_model_key("CozeLLM", self.personal_access_token)
+        model_key_msg = check_model_key("CozeLLM", self.personal_access_token)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
 
     def response(self, session_id, dialogue, **kwargs):
         coze_api_token = self.personal_access_token

main/xiaozhi-server/core/providers/llm/dify/dify.py

@@ -15,7 +15,9 @@ class LLMProvider(LLMProviderBase):
         self.mode = config.get("mode", "chat-messages")
         self.base_url = config.get("base_url", "https://api.dify.ai/v1").rstrip("/")
         self.session_conversation_map = {}  # 存储session_id和conversation_id的映射
-        check_model_key("DifyLLM", self.api_key)
+        model_key_msg = check_model_key("DifyLLM", self.api_key)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
 
     def response(self, session_id, dialogue, **kwargs):
         try:

main/xiaozhi-server/core/providers/llm/fastgpt/fastgpt.py

@@ -14,7 +14,9 @@ class LLMProvider(LLMProviderBase):
         self.base_url = config.get("base_url")
         self.detail = config.get("detail", False)
         self.variables = config.get("variables", {})
-        check_model_key("FastGPTLLM", self.api_key)
+        model_key_msg = check_model_key("FastGPTLLM", self.api_key)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
 
     def response(self, session_id, dialogue, **kwargs):
         try:

main/xiaozhi-server/core/providers/llm/gemini/gemini.py

@@ -73,8 +73,9 @@ class LLMProvider(LLMProviderBase):
         http_proxy = cfg.get("http_proxy")
         https_proxy = cfg.get("https_proxy")
 
-        if not check_model_key("LLM", self.api_key):
+        model_key_msg = check_model_key("LLM", self.api_key)
-            raise ValueError("无效的Gemini API Key，请检查是否配置正确")
+        if model_key_msg:
+            log.bind(tag=TAG).error(model_key_msg)
 
         if http_proxy or https_proxy:
             log.bind(tag=TAG).info(

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

@@ -21,20 +21,27 @@ class LLMProvider(LLMProviderBase):
             "max_tokens": (500, int),
             "temperature": (0.7, lambda x: round(float(x), 1)),
             "top_p": (1.0, lambda x: round(float(x), 1)),
-            "frequency_penalty": (0, lambda x: round(float(x), 1))
+            "frequency_penalty": (0, lambda x: round(float(x), 1)),
         }
 
         for param, (default, converter) in param_defaults.items():
             value = config.get(param)
             try:
-                setattr(self, param, converter(value) if value not in (None, "") else default)
+                setattr(
+                    self,
+                    param,
+                    converter(value) if value not in (None, "") else default,
+                )
             except (ValueError, TypeError):
                 setattr(self, param, default)
 
         logger.debug(
-            f"意图识别参数初始化: {self.temperature}, {self.max_tokens}, {self.top_p}, {self.frequency_penalty}")
+            f"意图识别参数初始化: {self.temperature}, {self.max_tokens}, {self.top_p}, {self.frequency_penalty}"
+        )
 
-        check_model_key("LLM", self.api_key)
+        model_key_msg = check_model_key("LLM", self.api_key)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
         self.client = openai.OpenAI(api_key=self.api_key, base_url=self.base_url)
 
     def response(self, session_id, dialogue, **kwargs):
@@ -46,7 +53,9 @@ class LLMProvider(LLMProviderBase):
                 max_tokens=kwargs.get("max_tokens", self.max_tokens),
                 temperature=kwargs.get("temperature", self.temperature),
                 top_p=kwargs.get("top_p", self.top_p),
-                frequency_penalty=kwargs.get("frequency_penalty", self.frequency_penalty),
+                frequency_penalty=kwargs.get(
+                    "frequency_penalty", self.frequency_penalty
+                ),
             )
 
             is_active = True
@@ -84,12 +93,14 @@ class LLMProvider(LLMProviderBase):
             for chunk in stream:
                 # 检查是否存在有效的choice且content不为空
                 if getattr(chunk, "choices", None):
-                    yield chunk.choices[0].delta.content, chunk.choices[0].delta.tool_calls
+                    yield chunk.choices[0].delta.content, chunk.choices[
+                        0
+                    ].delta.tool_calls
                 # 存在 CompletionUsage 消息时，生成 Token 消耗 log
-                elif isinstance(getattr(chunk, 'usage', None), CompletionUsage):
+                elif isinstance(getattr(chunk, "usage", None), CompletionUsage):
-                    usage_info = getattr(chunk, 'usage', None)
+                    usage_info = getattr(chunk, "usage", None)
                     logger.bind(tag=TAG).info(
-                        f"Token 消耗：输入 {getattr(usage_info, 'prompt_tokens', '未知')}，" 
+                        f"Token 消耗：输入 {getattr(usage_info, 'prompt_tokens', '未知')}，"
                         f"输出 {getattr(usage_info, 'completion_tokens', '未知')}，"
                         f"共计 {getattr(usage_info, 'total_tokens', '未知')}"
                     )

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

@@ -12,10 +12,6 @@ class MemoryProviderBase(ABC):
 
     def set_llm(self, llm):
         self.llm = llm
-        # 获取模型名称和类型信息
-        model_name = getattr(llm, "model_name", str(llm.__class__.__name__))
-        # 记录更详细的日志
-        logger.bind(tag=TAG).info(f"记忆总结设置LLM: {model_name}")
 
     @abstractmethod
     async def save_memory(self, msgs):

main/xiaozhi-server/core/providers/memory/mem0ai/mem0ai.py

@@ -12,12 +12,14 @@ class MemoryProvider(MemoryProviderBase):
         super().__init__(config)
         self.api_key = config.get("api_key", "")
         self.api_version = config.get("api_version", "v1.1")
-        have_key = check_model_key("Mem0ai", self.api_key)
+        model_key_msg = check_model_key("Mem0ai", self.api_key)
-        if not have_key:
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
             self.use_mem0 = False
             return
         else:
             self.use_mem0 = True
+
         try:
             self.client = MemoryClient(api_key=self.api_key)
             logger.bind(tag=TAG).info("成功连接到 Mem0ai 服务")

main/xiaozhi-server/core/providers/memory/mem_local_short/mem_local_short.py

@@ -5,6 +5,7 @@ import os
 import yaml
 from config.config_loader import get_project_dir
 from config.manage_api_client import save_mem_local_short
+from core.utils.util import check_model_key
 
 
 short_term_memory_prompt = """
@@ -145,6 +146,10 @@ class MemoryProvider(MemoryProviderBase):
         # 打印使用的模型信息
         model_info = getattr(self.llm, "model_name", str(self.llm.__class__.__name__))
         logger.bind(tag=TAG).debug(f"使用记忆保存模型: {model_info}")
+        api_key = getattr(self.llm, "api_key", None)
+        memory_key_msg = check_model_key("记忆总结专用LLM", api_key)
+        if memory_key_msg:
+            logger.bind(tag=TAG).error(memory_key_msg)
         if self.llm is None:
             logger.bind(tag=TAG).error("LLM is not set for memory provider")
             return None

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

@@ -91,7 +91,7 @@ class TTSProvider(TTSProviderBase):
 
         self.appkey = config.get("appkey")
         self.format = config.get("format", "wav")
-
+        self.audio_file_type = config.get("format", "wav")
         sample_rate = config.get("sample_rate", "16000")
         self.sample_rate = int(sample_rate) if sample_rate else 16000
 
@@ -188,9 +188,12 @@ class TTSProvider(TTSProviderBase):
                 )
             # 检查返回请求数据的mime类型是否是audio/***，是则保存到指定路径下；返回的是binary格式的
             if resp.headers["Content-Type"].startswith("audio/"):
-                with open(output_file, "wb") as f:
+                if output_file:
-                    f.write(resp.content)
+                    with open(output_file, "wb") as f:
-                return output_file
+                        f.write(resp.content)
+                    return output_file
+                else:
+                    return resp.content
             else:
                 raise Exception(
                     f"{__name__} status_code: {resp.status_code} response: {resp.content}"

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

@@ -1,4 +1,5 @@
 import os
+import re
 import queue
 import uuid
 import asyncio
@@ -8,7 +9,7 @@ from datetime import datetime
 from core.utils import textUtils
 from abc import ABC, abstractmethod
 from config.logger import setup_logging
-from core.utils.util import audio_to_data
+from core.utils.util import audio_to_data, audio_bytes_to_data
 from core.utils.tts import MarkdownCleaner
 from core.utils.output_counter import add_device_output
 from core.handle.reportHandle import enqueue_tts_report
@@ -20,7 +21,6 @@ from core.providers.tts.dto.dto import (
     InterfaceType,
 )
 
-
 import traceback
 
 TAG = __name__
@@ -33,10 +33,12 @@ class TTSProviderBase(ABC):
         self.conn = None
         self.tts_timeout = 10
         self.delete_audio_file = delete_audio_file
+        self.audio_file_type = "wav"
         self.output_file = config.get("output_dir", "tmp/")
         self.tts_text_queue = queue.Queue()
         self.tts_audio_queue = queue.Queue()
         self.tts_audio_first_sentence = True
+        self.before_stop_play_files = []
 
         self.tts_text_buff = []
         self.punctuations = (
@@ -77,35 +79,62 @@ class TTSProviderBase(ABC):
         )
 
     def to_tts(self, text):
-        tmp_file = self.generate_filename()
+        text = MarkdownCleaner.clean_markdown(text)
-        try:
+        max_repeat_time = 5
-            max_repeat_time = 5
+        if self.delete_audio_file:
-            text = MarkdownCleaner.clean_markdown(text)
+            # 需要删除文件的直接转为音频数据
-            while not os.path.exists(tmp_file) and max_repeat_time > 0:
+            while max_repeat_time > 0:
                 try:
-                    asyncio.run(self.text_to_speak(text, tmp_file))
+                    audio_bytes = asyncio.run(self.text_to_speak(text, None))
+                    if audio_bytes:
+                        audio_datas, _ = audio_bytes_to_data(
+                            audio_bytes, file_type=self.audio_file_type, is_opus=True
+                        )
+                        return audio_datas
+                    else:
+                        max_repeat_time -= 1
                 except Exception as e:
                     logger.bind(tag=TAG).warning(
                         f"语音生成失败{5 - max_repeat_time + 1}次: {text}，错误: {e}"
                     )
-                    # 未执行成功，删除文件
-                    if os.path.exists(tmp_file):
-                        os.remove(tmp_file)
                     max_repeat_time -= 1
-
             if max_repeat_time > 0:
                 logger.bind(tag=TAG).info(
-                    f"语音生成成功: {text}:{tmp_file}，重试{5 - max_repeat_time}次"
+                    f"语音生成成功: {text}，重试{5 - max_repeat_time}次"
                 )
             else:
                 logger.bind(tag=TAG).error(
                     f"语音生成失败: {text}，请检查网络或服务是否正常"
                 )
-
-            return tmp_file
-        except Exception as e:
-            logger.bind(tag=TAG).error(f"Failed to generate TTS file: {e}")
             return None
+        else:
+            tmp_file = self.generate_filename()
+            try:
+                while not os.path.exists(tmp_file) and max_repeat_time > 0:
+                    try:
+                        asyncio.run(self.text_to_speak(text, tmp_file))
+                    except Exception as e:
+                        logger.bind(tag=TAG).warning(
+                            f"语音生成失败{5 - max_repeat_time + 1}次: {text}，错误: {e}"
+                        )
+                        # 未执行成功，删除文件
+                        if os.path.exists(tmp_file):
+                            os.remove(tmp_file)
+                        max_repeat_time -= 1
+
+                if max_repeat_time > 0:
+                    logger.bind(tag=TAG).info(
+                        f"语音生成成功: {text}:{tmp_file}，重试{5 - max_repeat_time}次"
+                    )
+                else:
+                    logger.bind(tag=TAG).error(
+                        f"语音生成失败: {text}，请检查网络或服务是否正常"
+                    )
+
+                return tmp_file
+            except Exception as e:
+                logger.bind(tag=TAG).error(f"Failed to generate TTS file: {e}")
+                return None
 
     @abstractmethod
     async def text_to_speak(self, text, output_file):
@@ -141,15 +170,18 @@ class TTSProviderBase(ABC):
                 content_type=ContentType.ACTION,
             )
         )
-        self.tts_text_queue.put(
+        # 对于单句的文本，进行分段处理
-            TTSMessageDTO(
+        segments = re.split(r'([。！？!?；;\n])', content_detail)
-                sentence_id=sentence_id,
+        for seg in segments:
-                sentence_type=SentenceType.MIDDLE,
+            self.tts_text_queue.put(
-                content_type=content_type,
+                TTSMessageDTO(
-                content_detail=content_detail,
+                    sentence_id=sentence_id,
-                content_file=content_file,
+                    sentence_type=SentenceType.MIDDLE,
+                    content_type=content_type,
+                    content_detail=seg,
+                    content_file=content_file,
+                )
             )
-        )
         self.tts_text_queue.put(
             TTSMessageDTO(
                 sentence_id=sentence_id,
@@ -193,12 +225,19 @@ class TTSProviderBase(ABC):
                     self.tts_text_buff.append(message.content_detail)
                     segment_text = self._get_segment_text()
                     if segment_text:
-                        tts_file = self.to_tts(segment_text)
+                        if self.delete_audio_file:
-                        if tts_file:
+                            audio_datas = self.to_tts(segment_text)
-                            audio_datas = self._process_audio_file(tts_file)
+                            if audio_datas:
-                            self.tts_audio_queue.put(
+                                self.tts_audio_queue.put(
-                                (message.sentence_type, audio_datas, segment_text)
+                                    (message.sentence_type, audio_datas, segment_text)
-                            )
+                                )
+                        else:
+                            tts_file = self.to_tts(segment_text)
+                            if tts_file:
+                                audio_datas = self._process_audio_file(tts_file)
+                                self.tts_audio_queue.put(
+                                    (message.sentence_type, audio_datas, segment_text)
+                                )
                 elif ContentType.FILE == message.content_type:
                     self._process_remaining_text()
                     tts_file = message.content_file
@@ -324,6 +363,14 @@ class TTSProviderBase(ABC):
             os.remove(tts_file)
         return audio_datas
 
+    def _process_before_stop_play_files(self):
+        for tts_file, text in self.before_stop_play_files:
+            if tts_file and os.path.exists(tts_file):
+                audio_datas = self._process_audio_file(tts_file)
+                self.tts_audio_queue.put((SentenceType.MIDDLE, audio_datas, text))
+        self.before_stop_play_files.clear()
+        self.tts_audio_queue.put((SentenceType.LAST, [], None))
+
     def _process_remaining_text(self):
         """处理剩余的文本并生成语音
 
@@ -335,11 +382,18 @@ class TTSProviderBase(ABC):
         if remaining_text:
             segment_text = textUtils.get_string_no_punctuation_or_emoji(remaining_text)
             if segment_text:
-                tts_file = self.to_tts(segment_text)
+                if self.delete_audio_file:
-                audio_datas = self._process_audio_file(tts_file)
+                    audio_datas = self.to_tts(segment_text)
-                self.tts_audio_queue.put(
+                    if audio_datas:
-                    (SentenceType.MIDDLE, audio_datas, segment_text)
+                        self.tts_audio_queue.put(
-                )
+                            (SentenceType.MIDDLE, audio_datas, segment_text)
+                        )
+                else:
+                    tts_file = self.to_tts(segment_text)
+                    audio_datas = self._process_audio_file(tts_file)
+                    self.tts_audio_queue.put(
+                        (SentenceType.MIDDLE, audio_datas, segment_text)
+                    )
                 self.processed_chars += len(full_text)
                 return True
         return False

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

@@ -11,8 +11,8 @@ class TTSProvider(TTSProviderBase):
             self.voice = config.get("private_voice")
         else:
             self.voice = config.get("voice")
-        self.response_format = config.get("response_format")
+        self.response_format = config.get("response_format", "wav")
-
+        self.audio_file_type = config.get("response_format", "wav")
         self.host = "api.coze.cn"
         self.api_url = f"https://{self.host}/v1/audio/speech"
 
@@ -33,7 +33,10 @@ class TTSProvider(TTSProviderBase):
                 "POST", self.api_url, json=request_json, headers=headers
             )
             data = response.content
-            file_to_save = open(output_file, "wb")
+            if output_file:
-            file_to_save.write(data)
+                with open(output_file, "wb") as file_to_save:
+                    file_to_save.write(data)
+            else:
+                return data
         except Exception as e:
             raise Exception(f"{__name__} error: {e}")

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

@@ -16,8 +16,8 @@ class TTSProvider(TTSProviderBase):
         self.method = config.get("method", "GET")
         self.headers = config.get("headers", {})
         self.format = config.get("format", "wav")
+        self.audio_file_type = config.get("format", "wav")
         self.output_file = config.get("output_dir", "tmp/")
-
         self.params = config.get("params")
 
         if isinstance(self.params, str):
@@ -43,8 +43,11 @@ class TTSProvider(TTSProviderBase):
         else:
             resp = requests.get(self.url, params=request_params, headers=self.headers)
         if resp.status_code == 200:
-            with open(output_file, "wb") as file:
+            if output_file:
-                file.write(resp.content)
+                with open(output_file, "wb") as file:
+                    file.write(resp.content)
+            else:
+                return resp.content
         else:
             error_msg = f"Custom TTS请求失败: {resp.status_code} - {resp.text}"
             logger.bind(tag=TAG).error(error_msg)

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

@@ -29,7 +29,7 @@ class TTSProvider(TTSProviderBase):
         speed_ratio = config.get("speed_ratio", "1.0")
         volume_ratio = config.get("volume_ratio", "1.0")
         pitch_ratio = config.get("pitch_ratio", "1.0")
-
+        self.audio_file_type = config.get("format", "wav")
         self.speed_ratio = float(speed_ratio) if speed_ratio else 1.0
         self.volume_ratio = float(volume_ratio) if volume_ratio else 1.0
         self.pitch_ratio = float(pitch_ratio) if pitch_ratio else 1.0
@@ -37,7 +37,9 @@ class TTSProvider(TTSProviderBase):
         self.api_url = config.get("api_url")
         self.authorization = config.get("authorization")
         self.header = {"Authorization": f"{self.authorization}{self.access_token}"}
-        check_model_key("TTS", self.access_token)
+        model_key_msg = check_model_key("TTS", self.access_token)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
 
     async def text_to_speak(self, text, output_file):
         request_json = {
@@ -49,7 +51,7 @@ class TTSProvider(TTSProviderBase):
             "user": {"uid": "1"},
             "audio": {
                 "voice_type": self.voice,
-                "encoding": "wav",
+                "encoding": self.audio_file_type,
                 "speed_ratio": self.speed_ratio,
                 "volume_ratio": self.volume_ratio,
                 "pitch_ratio": self.pitch_ratio,
@@ -70,8 +72,12 @@ class TTSProvider(TTSProviderBase):
             )
             if "data" in resp.json():
                 data = resp.json()["data"]
-                file_to_save = open(output_file, "wb")
+                audio_bytes = base64.b64decode(data)
-                file_to_save.write(base64.b64decode(data))
+                if output_file:
+                    with open(output_file, "wb") as file_to_save:
+                        file_to_save.write(audio_bytes)
+                else:
+                    return audio_bytes
             else:
                 raise Exception(
                     f"{__name__} status_code: {resp.status_code} response: {resp.content}"

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

@@ -12,6 +12,7 @@ class TTSProvider(TTSProviderBase):
             self.voice = config.get("private_voice")
         else:
             self.voice = config.get("voice")
+        self.audio_file_type = config.get("format", "mp3")
 
     def generate_filename(self, extension=".mp3"):
         return os.path.join(
@@ -22,16 +23,24 @@ class TTSProvider(TTSProviderBase):
     async def text_to_speak(self, text, output_file):
         try:
             communicate = edge_tts.Communicate(text, voice=self.voice)
-            # 确保目录存在并创建空文件
+            if output_file:
-            os.makedirs(os.path.dirname(output_file), exist_ok=True)
+                # 确保目录存在并创建空文件
-            with open(output_file, "wb") as f:
+                os.makedirs(os.path.dirname(output_file), exist_ok=True)
-                pass
+                with open(output_file, "wb") as f:
+                    pass
 
-            # 流式写入音频数据
+                # 流式写入音频数据
-            with open(output_file, "ab") as f:  # 改为追加模式避免覆盖
+                with open(output_file, "ab") as f:  # 改为追加模式避免覆盖
+                    async for chunk in communicate.stream():
+                        if chunk["type"] == "audio":  # 只处理音频数据块
+                            f.write(chunk["data"])
+            else:
+                # 返回音频二进制数据
+                audio_bytes = b""
                 async for chunk in communicate.stream():
-                    if chunk["type"] == "audio":  # 只处理音频数据块
+                    if chunk["type"] == "audio":
-                        f.write(chunk["data"])
+                        audio_bytes += chunk["data"]
+                return audio_bytes
         except Exception as e:
             error_msg = f"Edge TTS请求失败: {e}"
             raise Exception(error_msg)  # 抛出异常，让调用方捕获

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

@@ -88,10 +88,11 @@ class TTSProvider(TTSProviderBase):
         self.reference_audio = parse_string_to_list(config.get("reference_audio"))
         self.reference_text = parse_string_to_list(config.get("reference_text"))
         self.format = config.get("response_format", "wav")
-
+        self.audio_file_type = config.get("response_format", "wav")
         self.api_key = config.get("api_key", "YOUR_API_KEY")
-        have_key = check_model_key("FishSpeech TTS", self.api_key)
+        model_key_msg = check_model_key("FishSpeech TTS", self.api_key)
-        if not have_key:
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
             return
         self.normalize = str(config.get("normalize", True)).lower() in (
             "true",
@@ -170,8 +171,11 @@ class TTSProvider(TTSProviderBase):
         if response.status_code == 200:
             audio_content = response.content
 
-            with open(output_file, "wb") as audio_file:
+            if output_file:
-                audio_file.write(audio_content)
+                with open(output_file, "wb") as audio_file:
+                    audio_file.write(audio_content)
+            else:
+                return audio_content
 
         else:
             error_msg = f"Request failed with status code {response.status_code}"

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

@@ -65,6 +65,7 @@ class TTSProvider(TTSProviderBase):
         self.aux_ref_audio_paths = parse_string_to_list(
             config.get("aux_ref_audio_paths")
         )
+        self.audio_file_type = config.get("format", "wav")
 
     async def text_to_speak(self, text, output_file):
         request_json = {
@@ -91,8 +92,11 @@ class TTSProvider(TTSProviderBase):
 
         resp = requests.post(self.url, json=request_json)
         if resp.status_code == 200:
-            with open(output_file, "wb") as file:
+            if output_file:
-                file.write(resp.content)
+                with open(output_file, "wb") as file:
+                    file.write(resp.content)
+            else:
+                return resp.content
         else:
             error_msg = f"GPT_SoVITS_V2 TTS请求失败: {resp.status_code} - {resp.text}"
             logger.bind(tag=TAG).error(error_msg)

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

@@ -32,6 +32,7 @@ class TTSProvider(TTSProviderBase):
         self.cut_punc = config.get("cut_punc", "")
         self.inp_refs = parse_string_to_list(config.get("inp_refs"))
         self.if_sr = str(config.get("if_sr", False)).lower() in ("true", "1", "yes")
+        self.audio_file_type = config.get("format", "wav")
 
     async def text_to_speak(self, text, output_file):
         request_params = {
@@ -52,8 +53,11 @@ class TTSProvider(TTSProviderBase):
 
         resp = requests.get(self.url, params=request_params)
         if resp.status_code == 200:
-            with open(output_file, "wb") as file:
+            if output_file:
-                file.write(resp.content)
+                with open(output_file, "wb") as file:
+                    file.write(resp.content)
+            else:
+                return resp.content
         else:
             error_msg = f"GPT_SoVITS_V3 TTS请求失败: {resp.status_code} - {resp.text}"
             logger.bind(tag=TAG).error(error_msg)

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

@@ -5,12 +5,15 @@ import queue
 import asyncio
 import traceback
 import websockets
+from core.utils.tts import MarkdownCleaner
 from config.logger import setup_logging
 from core.utils import opus_encoder_utils
 from core.utils.util import check_model_key
 from core.providers.tts.base import TTSProviderBase
 from core.handle.abortHandle import handleAbortMessage
 from core.providers.tts.dto.dto import SentenceType, ContentType, InterfaceType
+from asyncio import Task
+
 
 TAG = __name__
 logger = setup_logging()
@@ -140,25 +143,26 @@ class TTSProvider(TTSProviderBase):
         super().__init__(config, delete_audio_file)
         self.ws = None
         self.interface_type = InterfaceType.DUAL_STREAM
+        self._monitor_task = None  # 监听任务引用
         self.appId = config.get("appid")
         self.access_token = config.get("access_token")
         self.cluster = config.get("cluster")
         self.resource_id = config.get("resource_id")
         if config.get("private_voice"):
-            self.speaker = config.get("private_voice")
+            self.voice = config.get("private_voice")
         else:
-            self.speaker = config.get("speaker")
+            self.voice = config.get("speaker")
-        self.voice = config.get("voice")
         self.ws_url = config.get("ws_url")
         self.authorization = config.get("authorization")
         self.header = {"Authorization": f"{self.authorization}{self.access_token}"}
         self.enable_two_way = True
         self.tts_text = ""
-        self.before_stop_play_files = []
         self.opus_encoder = opus_encoder_utils.OpusEncoderUtils(
             sample_rate=16000, channels=1, frame_size_ms=60
         )
-        check_model_key("TTS", self.access_token)
+        model_key_msg = check_model_key("TTS", self.access_token)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
 
     async def open_audio_channels(self, conn):
         try:
@@ -190,10 +194,8 @@ class TTSProvider(TTSProviderBase):
 
     def tts_text_priority_thread(self):
         """火山引擎双流式TTS的文本处理线程"""
-        logger.bind(tag=TAG).info("TTS文本处理线程启动")
         while not self.conn.stop_event.is_set():
             try:
-                logger.bind(tag=TAG).debug("等待TTS文本队列消息...")
                 message = self.tts_text_queue.get(timeout=1)
                 logger.bind(tag=TAG).debug(
                     f"收到TTS任务｜{message.sentence_type.name} ｜ {message.content_type.name} | 会话ID: {self.conn.sentence_id}"
@@ -205,6 +207,10 @@ class TTSProvider(TTSProviderBase):
                 if message.sentence_type == SentenceType.FIRST:
                     # 初始化参数
                     try:
+                        if not getattr(self.conn, "sentence_id", None): 
+                            self.conn.sentence_id = uuid.uuid4().hex
+                            logger.bind(tag=TAG).info(f"自动生成新的 会话ID: {self.conn.sentence_id}")
+
                         logger.bind(tag=TAG).info("开始启动TTS会话...")
                         future = asyncio.run_coroutine_threadsafe(
                             self.start_session(self.conn.sentence_id),
@@ -267,11 +273,14 @@ class TTSProvider(TTSProviderBase):
         try:
             # 建立新连接
             if self.ws is None:
-                await handleAbortMessage(self.conn)
+                logger.bind(tag=TAG).warning(f"WebSocket连接不存在，终止发送文本")
-                logger.bind(tag=TAG).error(f"WebSocket连接不存在，终止发送文本")
                 return
+
+            #  过滤Markdown
+            filtered_text = MarkdownCleaner.clean_markdown(text)
+
             # 发送文本
-            await self.send_text(self.speaker, text, self.conn.sentence_id)
+            await self.send_text(self.voice, filtered_text, self.conn.sentence_id)
             return
         except Exception as e:
             logger.bind(tag=TAG).error(f"发送TTS文本失败: {str(e)}")
@@ -286,6 +295,25 @@ class TTSProvider(TTSProviderBase):
     async def start_session(self, session_id):
         logger.bind(tag=TAG).info(f"开始会话～～{session_id}")
         try:
+            task = self._monitor_task
+            if (
+                task is not None
+                and isinstance(task, Task)
+                and not task.done()
+            ):
+                logger.bind(tag=TAG).info("等待上一个监听任务结束...")
+                if self.ws is not None:
+                    logger.bind(tag=TAG).info("强制关闭上一个WebSocket连接以唤醒监听任务...")
+                    try:
+                        await self.ws.close()
+                    except Exception as e:
+                        logger.bind(tag=TAG).warning(f"关闭上一个ws异常: {e}")
+                    self.ws = None
+                try:
+                    await asyncio.wait_for(task, timeout=8)
+                except Exception as e:
+                    logger.bind(tag=TAG).warning(f"等待监听任务异常: {e}")
+                self._monitor_task = None
             # 建立新连接
             await self._ensure_connection()
 
@@ -301,9 +329,9 @@ class TTSProvider(TTSProviderBase):
                 event=EVENT_StartSession, sessionId=session_id
             ).as_bytes()
             payload = self.get_payload_bytes(
-                event=EVENT_StartSession, speaker=self.speaker
+                event=EVENT_StartSession, speaker=self.voice
             )
-            await self.send_event(header, optional, payload)
+            await self.send_event(self.ws, header, optional, payload)
             logger.bind(tag=TAG).info("会话启动请求已发送")
         except Exception as e:
             logger.bind(tag=TAG).error(f"启动会话失败: {str(e)}")
@@ -336,7 +364,7 @@ class TTSProvider(TTSProviderBase):
                     event=EVENT_FinishSession, sessionId=session_id
                 ).as_bytes()
                 payload = str.encode("{}")
-                await self.send_event(header, optional, payload)
+                await self.send_event(self.ws, header, optional, payload)
                 logger.bind(tag=TAG).info("会话结束请求已发送")
 
                 # 等待监听任务完成
@@ -383,6 +411,7 @@ class TTSProvider(TTSProviderBase):
         """监听TTS响应"""
         opus_datas_cache = []
         is_first_sentence = True
+        first_sentence_segment_count = 0  # 添加计数器
         try:
             while not self.conn.stop_event.is_set():
                 try:
@@ -404,6 +433,7 @@ class TTSProvider(TTSProviderBase):
                             (SentenceType.FIRST, [], self.tts_text)
                         )
                         opus_datas_cache = []
+                        first_sentence_segment_count = 0  # 重置计数器
                     elif (
                         res.optional.event == EVENT_TTSResponse
                         and res.header.message_type == AUDIO_ONLY_RESPONSE
@@ -414,32 +444,28 @@ class TTSProvider(TTSProviderBase):
                             f"推送数据到队列里面帧数～～{len(opus_datas)}"
                         )
                         if is_first_sentence:
-                            # 第一句话直接发送
+                            first_sentence_segment_count += 1
-                            self.tts_audio_queue.put(
+                            if first_sentence_segment_count <= 6:
-                                (SentenceType.MIDDLE, opus_datas, self.tts_text)
+                                self.tts_audio_queue.put(
-                            )
+                                    (SentenceType.MIDDLE, opus_datas, None)
+                                )
+                            else:
+                                opus_datas_cache = opus_datas_cache + opus_datas
                         else:
                             # 后续句子缓存
                             opus_datas_cache = opus_datas_cache + opus_datas
                     elif res.optional.event == EVENT_TTSSentenceEnd:
                         logger.bind(tag=TAG).info(f"句子语音生成成功：{self.tts_text}")
-                        if not is_first_sentence:
+                        if not is_first_sentence or first_sentence_segment_count > 10:
-                            # 只有非第一句话才发送缓存的数据
+                            # 发送缓存的数据
                             self.tts_audio_queue.put(
-                                (SentenceType.MIDDLE, opus_datas_cache, self.tts_text)
+                                (SentenceType.MIDDLE, opus_datas_cache, None)
                             )
                         # 第一句话结束后，将标志设置为False
                         is_first_sentence = False
                     elif res.optional.event == EVENT_SessionFinished:
                         logger.bind(tag=TAG).debug(f"会话结束～～")
-                        for tts_file, text in self.before_stop_play_files:
+                        self._process_before_stop_play_files()
-                            if tts_file and os.path.exists(tts_file):
-                                audio_datas = self._process_audio_file(tts_file)
-                                self.tts_audio_queue.put(
-                                    (SentenceType.MIDDLE, audio_datas, text)
-                                )
-                        self.before_stop_play_files.clear()
-                        self.tts_audio_queue.put((SentenceType.LAST, [], None))
                         break
                 except websockets.ConnectionClosed:
                     logger.bind(tag=TAG).warning("WebSocket连接已关闭")
@@ -458,9 +484,15 @@ class TTSProvider(TTSProviderBase):
                 except:
                     pass
                 self.ws = None
+            # 监听任务退出时清理引用
+            self._monitor_task = None
 
     async def send_event(
-        self, header: bytes, optional: bytes | None = None, payload: bytes = None
+        self,
+        ws: websockets.WebSocketClientProtocol,
+        header: bytes,
+        optional: bytes | None = None,
+        payload: bytes = None,
     ):
         try:
             full_client_request = bytearray(header)
@@ -470,7 +502,7 @@ class TTSProvider(TTSProviderBase):
                 payload_size = len(payload).to_bytes(4, "big", signed=True)
                 full_client_request.extend(payload_size)
                 full_client_request.extend(payload)
-            await self.ws.send(full_client_request)
+            await ws.send(full_client_request)
         except websockets.ConnectionClosed:
             logger.bind(tag=TAG).error(f"ConnectionClosed")
             raise
@@ -485,7 +517,7 @@ class TTSProvider(TTSProviderBase):
         payload = self.get_payload_bytes(
             event=EVENT_TaskRequest, text=text, speaker=speaker
         )
-        return await self.send_event(header, optional, payload)
+        return await self.send_event(self.ws, header, optional, payload)
 
     # 读取 res 数组某段 字符串内容
     def read_res_content(self, res: bytes, offset: int):
@@ -563,7 +595,7 @@ class TTSProvider(TTSProviderBase):
         ).as_bytes()
         optional = Optional(event=EVENT_Start_Connection).as_bytes()
         payload = str.encode("{}")
-        return await self.send_event(header, optional, payload)
+        return await self.send_event(self.ws, header, optional, payload)
 
     def print_response(self, res, tag_msg: str):
         logger.bind(tag=TAG).debug(f"===>{tag_msg} header:{res.header.__dict__}")
@@ -599,3 +631,107 @@ class TTSProvider(TTSProviderBase):
     def wav_to_opus_data_audio_raw(self, raw_data_var, is_end=False):
         opus_datas = self.opus_encoder.encode_pcm_to_opus(raw_data_var, is_end)
         return opus_datas
+
+    def to_tts(self, text: str) -> list:
+        """非流式生成音频数据，用于生成音频及测试场景
+
+        Args:
+            text: 要转换的文本
+
+        Returns:
+            list: 音频数据列表
+        """
+        try:
+            # 创建事件循环
+            loop = asyncio.new_event_loop()
+            asyncio.set_event_loop(loop)
+
+            # 生成会话ID
+            session_id = uuid.uuid4().__str__().replace("-", "")
+
+            # 存储音频数据
+            audio_data = []
+
+            async def _generate_audio():
+                # 创建新的WebSocket连接
+                ws_header = {
+                    "X-Api-App-Key": self.appId,
+                    "X-Api-Access-Key": self.access_token,
+                    "X-Api-Resource-Id": self.resource_id,
+                    "X-Api-Connect-Id": uuid.uuid4(),
+                }
+                ws = await websockets.connect(
+                    self.ws_url, additional_headers=ws_header, max_size=1000000000
+                )
+
+                try:
+                    # 启动会话
+                    header = Header(
+                        message_type=FULL_CLIENT_REQUEST,
+                        message_type_specific_flags=MsgTypeFlagWithEvent,
+                        serial_method=JSON,
+                    ).as_bytes()
+                    optional = Optional(
+                        event=EVENT_StartSession, sessionId=session_id
+                    ).as_bytes()
+                    payload = self.get_payload_bytes(
+                        event=EVENT_StartSession, speaker=self.voice
+                    )
+                    await self.send_event(ws, header, optional, payload)
+
+                    # 发送文本
+                    header = Header(
+                        message_type=FULL_CLIENT_REQUEST,
+                        message_type_specific_flags=MsgTypeFlagWithEvent,
+                        serial_method=JSON,
+                    ).as_bytes()
+                    optional = Optional(
+                        event=EVENT_TaskRequest, sessionId=session_id
+                    ).as_bytes()
+                    payload = self.get_payload_bytes(
+                        event=EVENT_TaskRequest, text=text, speaker=self.voice
+                    )
+                    await self.send_event(ws, header, optional, payload)
+
+                    # 发送结束会话请求
+                    header = Header(
+                        message_type=FULL_CLIENT_REQUEST,
+                        message_type_specific_flags=MsgTypeFlagWithEvent,
+                        serial_method=JSON,
+                    ).as_bytes()
+                    optional = Optional(
+                        event=EVENT_FinishSession, sessionId=session_id
+                    ).as_bytes()
+                    payload = str.encode("{}")
+                    await self.send_event(ws, header, optional, payload)
+
+                    # 接收音频数据
+                    while True:
+                        msg = await ws.recv()
+                        res = self.parser_response(msg)
+
+                        if (
+                            res.optional.event == EVENT_TTSResponse
+                            and res.header.message_type == AUDIO_ONLY_RESPONSE
+                        ):
+                            opus_datas = self.wav_to_opus_data_audio_raw(res.payload)
+                            audio_data.extend(opus_datas)
+                        elif res.optional.event == EVENT_SessionFinished:
+                            break
+
+                finally:
+                    # 清理资源
+                    try:
+                        await ws.close()
+                    except:
+                        pass
+
+            # 运行异步任务
+            loop.run_until_complete(_generate_audio())
+            loop.close()
+
+            return audio_data
+
+        except Exception as e:
+            logger.bind(tag=TAG).error(f"生成音频数据失败: {str(e)}")
+            return []

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

@@ -0,0 +1,305 @@
+import queue
+import asyncio
+import traceback
+import aiohttp
+import requests
+import time
+from config.logger import setup_logging
+from core.utils.tts import MarkdownCleaner
+from core.providers.tts.base import TTSProviderBase
+from core.utils import opus_encoder_utils, textUtils
+from core.providers.tts.dto.dto import SentenceType, ContentType, InterfaceType
+
+TAG = __name__
+logger = setup_logging()
+
+
+class TTSProvider(TTSProviderBase):
+    def __init__(self, config, delete_audio_file):
+        super().__init__(config, delete_audio_file)
+        self.interface_type = InterfaceType.SINGLE_STREAM
+        self.access_token = config.get("access_token")
+        self.voice = config.get("voice")
+        self.api_url = config.get("api_url")
+        self.audio_format = "pcm"
+        self.before_stop_play_files = []
+        self.segment_count = 0  # 添加片段计数器
+
+        # 创建Opus编码器
+        self.opus_encoder = opus_encoder_utils.OpusEncoderUtils(
+            sample_rate=16000, channels=1, frame_size_ms=60
+        )
+
+        # 添加文本缓冲区
+        self.text_buffer = ""
+
+        # PCM缓冲区
+        self.pcm_buffer = bytearray()
+
+    ###################################################################################
+    # linkerai单流式TTS重写父类的方法--开始
+    ###################################################################################
+
+    def tts_text_priority_thread(self):
+        """流式文本处理线程"""
+        while not self.conn.stop_event.is_set():
+            try:
+                message = self.tts_text_queue.get(timeout=1)
+                if message.sentence_type == SentenceType.FIRST:
+                    # 初始化参数
+                    self.tts_stop_request = False
+                    self.processed_chars = 0
+                    self.tts_text_buff = []
+                    self.segment_count = 0
+                    self.tts_audio_first_sentence = True
+                    self.before_stop_play_files.clear()
+                elif ContentType.TEXT == message.content_type:
+                    self.tts_text_buff.append(message.content_detail)
+                    segment_text = self._get_segment_text()
+                    if segment_text:
+                        self.to_tts_single_stream(segment_text)
+
+                elif ContentType.FILE == message.content_type:
+                    logger.bind(tag=TAG).info(
+                        f"添加音频文件到待播放列表: {message.content_file}"
+                    )
+                    self.before_stop_play_files.append(
+                        (message.content_file, message.content_detail)
+                    )
+
+                if message.sentence_type == SentenceType.LAST:
+                    # 处理剩余的文本
+                    self._process_remaining_text(True)
+
+            except queue.Empty:
+                continue
+            except Exception as e:
+                logger.bind(tag=TAG).error(
+                    f"处理TTS文本失败: {str(e)}, 类型: {type(e).__name__}, 堆栈: {traceback.format_exc()}"
+                )
+
+    def _process_remaining_text(self, is_last=False):
+        """处理剩余的文本并生成语音
+
+        Returns:
+            bool: 是否成功处理了文本
+        """
+        full_text = "".join(self.tts_text_buff)
+        remaining_text = full_text[self.processed_chars :]
+        if remaining_text:
+            segment_text = textUtils.get_string_no_punctuation_or_emoji(remaining_text)
+            if segment_text:
+                self.to_tts_single_stream(segment_text, is_last)
+                self.processed_chars += len(full_text)
+            else:
+                self._process_before_stop_play_files()
+        else:
+            self._process_before_stop_play_files()
+
+    def to_tts_single_stream(self, text, is_last=False):
+        try:
+            max_repeat_time = 5
+            text = MarkdownCleaner.clean_markdown(text)
+            try:
+                asyncio.run(self.text_to_speak(text, is_last))
+            except Exception as e:
+                logger.bind(tag=TAG).warning(
+                    f"语音生成失败{5 - max_repeat_time + 1}次: {text}，错误: {e}"
+                )
+                max_repeat_time -= 1
+
+            if max_repeat_time > 0:
+                logger.bind(tag=TAG).info(
+                    f"语音生成成功: {text}，重试{5 - max_repeat_time}次"
+                )
+            else:
+                logger.bind(tag=TAG).error(
+                    f"语音生成失败: {text}，请检查网络或服务是否正常"
+                )
+        except Exception as e:
+            logger.bind(tag=TAG).error(f"Failed to generate TTS file: {e}")
+        finally:
+            return None
+
+    ###################################################################################
+    # linkerai单流式TTS重写父类的方法--结束
+    ###################################################################################
+
+    async def text_to_speak(self, text, is_last):
+        """流式处理TTS音频，每句只推送一次音频列表"""
+        await self._tts_request(text, is_last)
+
+    async def close(self):
+        """资源清理"""
+        await super().close()
+        if hasattr(self, "opus_encoder"):
+            self.opus_encoder.close()
+
+    async def _tts_request(self, text: str, is_last: bool) -> None:
+        params = {
+            "tts_text": text,
+            "spk_id": self.voice,
+            "frame_durition": 60,
+            "stream": "true",
+            "target_sr": 16000,
+            "audio_format": "pcm",
+            "instruct_text": "请生成一段自然流畅的语音",
+        }
+        headers = {
+            "Authorization": f"Bearer {self.access_token}",
+            "Content-Type": "application/json",
+        }
+
+        # 一帧 PCM 所需字节数：60 ms × 16 kHz × 1 ch × 2 B = 1 920
+        frame_bytes = int(
+            self.opus_encoder.sample_rate
+            * self.opus_encoder.channels  # 1
+            * self.opus_encoder.frame_size_ms
+            / 1000
+            * 2
+        )  # 16-bit = 2 bytes
+
+        try:
+            async with aiohttp.ClientSession() as session:
+                async with session.get(
+                    self.api_url, params=params, headers=headers, timeout=10
+                ) as resp:
+
+                    if resp.status != 200:
+                        logger.bind(tag=TAG).error(
+                            f"TTS请求失败: {resp.status}, {await resp.text()}"
+                        )
+                        self.tts_audio_queue.put((SentenceType.LAST, [], None))
+                        return
+
+                    self.pcm_buffer.clear()
+                    opus_datas_cache = []
+
+                    self.tts_audio_queue.put((SentenceType.FIRST, [], text))
+
+                    # 兼容 iter_chunked / iter_chunks / iter_any
+                    async for chunk in resp.content.iter_any():
+                        data = chunk[0] if isinstance(chunk, (list, tuple)) else chunk
+                        if not data:
+                            continue
+
+                        # 拼到 buffer
+                        self.pcm_buffer.extend(data)
+
+                        # 够一帧就编码
+                        while len(self.pcm_buffer) >= frame_bytes:
+                            frame = bytes(self.pcm_buffer[:frame_bytes])
+                            del self.pcm_buffer[:frame_bytes]
+
+                            opus = self.opus_encoder.encode_pcm_to_opus(
+                                frame, end_of_stream=False
+                            )
+                            if opus:
+                                if self.segment_count < 10:  # 前10个片段直接发送
+                                    self.tts_audio_queue.put(
+                                        (SentenceType.MIDDLE, opus, None)
+                                    )
+                                    self.segment_count += 1
+                                else:
+                                    opus_datas_cache.extend(opus)
+
+                    # flush 剩余不足一帧的数据
+                    if self.pcm_buffer:
+                        opus = self.opus_encoder.encode_pcm_to_opus(
+                            bytes(self.pcm_buffer), end_of_stream=True
+                        )
+                        if opus:
+                            if self.segment_count < 10:  # 前10个片段直接发送
+                                # 直接发送
+                                self.tts_audio_queue.put(
+                                    (SentenceType.MIDDLE, opus, None)
+                                )
+                                self.segment_count += 1
+                            else:
+                                # 后续片段缓存
+                                opus_datas_cache.extend(opus)
+                        self.pcm_buffer.clear()
+
+                    # 如果不是前10个片段，发送缓存的数据
+                    if self.segment_count >= 10 and opus_datas_cache:
+                        self.tts_audio_queue.put(
+                            (SentenceType.MIDDLE, opus_datas_cache, None)
+                        )
+
+                    # 如果是最后一段，输出音频获取完毕
+                    if is_last:
+                        self._process_before_stop_play_files()
+
+        except Exception as e:
+            logger.bind(tag=TAG).error(f"TTS请求异常: {e}")
+            self.tts_audio_queue.put((SentenceType.LAST, [], None))
+
+    def to_tts(self, text: str) -> list:
+        """非流式TTS处理，用于测试及保存音频文件的场景
+
+        Args:
+            text: 要转换的文本
+
+        Returns:
+            list: 返回opus编码后的音频数据列表
+        """
+        start_time = time.time()
+        text = MarkdownCleaner.clean_markdown(text)
+
+        params = {
+            "tts_text": text,
+            "spk_id": self.voice,
+            "frame_duration": 60,
+            "stream": False,
+            "target_sr": 16000,
+            "audio_format": self.audio_format,
+            "instruct_text": "请生成一段自然流畅的语音",
+        }
+        headers = {
+            "Authorization": f"Bearer {self.access_token}",
+            "Content-Type": "application/json",
+        }
+
+        try:
+            with requests.get(
+                self.api_url, params=params, headers=headers, timeout=5
+            ) as response:
+                if response.status_code != 200:
+                    logger.bind(tag=TAG).error(
+                        f"TTS请求失败: {response.status_code}, {response.text}"
+                    )
+                    return []
+
+                logger.info(f"TTS请求成功: {text}, 耗时: {time.time() - start_time}秒")
+
+                # 使用opus编码器处理PCM数据
+                opus_datas = []
+                pcm_data = response.content
+
+                # 计算每帧的字节数
+                frame_bytes = int(
+                    self.opus_encoder.sample_rate
+                    * self.opus_encoder.channels
+                    * self.opus_encoder.frame_size_ms
+                    / 1000
+                    * 2
+                )
+
+                # 分帧处理PCM数据
+                for i in range(0, len(pcm_data), frame_bytes):
+                    frame = pcm_data[i : i + frame_bytes]
+                    if len(frame) < frame_bytes:
+                        # 最后一帧可能不足，用0填充
+                        frame = frame + b"\x00" * (frame_bytes - len(frame))
+
+                    opus = self.opus_encoder.encode_pcm_to_opus(
+                        frame, end_of_stream=(i + frame_bytes >= len(pcm_data))
+                    )
+                    if opus:
+                        opus_datas.extend(opus)
+
+                return opus_datas
+
+        except Exception as e:
+            logger.bind(tag=TAG).error(f"TTS请求异常: {e}")
+            return []

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

@@ -14,9 +14,9 @@ class TTSProvider(TTSProviderBase):
         self.api_key = config.get("api_key")
         self.model = config.get("model")
         if config.get("private_voice"):
-            self.voice_id = config.get("private_voice")
+            self.voice = config.get("private_voice")
         else:
-            self.voice_id = config.get("voice_id")
+            self.voice = config.get("voice_id")
 
         default_voice_setting = {
             "voice_id": "female-shaonv",
@@ -43,8 +43,8 @@ class TTSProvider(TTSProviderBase):
         self.audio_setting = {**defult_audio_setting, **config.get("audio_setting", {})}
         self.timber_weights = parse_string_to_list(config.get("timber_weights"))
 
-        if self.voice_id:
+        if self.voice:
-            self.voice_setting["voice_id"] = self.voice_id
+            self.voice_setting["voice_id"] = self.voice
 
         self.host = "api.minimax.chat"
         self.api_url = f"https://{self.host}/v1/t2a_v2?GroupId={self.group_id}"
@@ -52,6 +52,7 @@ class TTSProvider(TTSProviderBase):
             "Content-Type": "application/json",
             "Authorization": f"Bearer {self.api_key}",
         }
+        self.audio_file_type = defult_audio_setting.get("format", "mp3")
 
     def generate_filename(self, extension=".mp3"):
         return os.path.join(
@@ -80,8 +81,12 @@ class TTSProvider(TTSProviderBase):
             # 检查返回请求数据的status_code是否为0
             if resp.json()["base_resp"]["status_code"] == 0:
                 data = resp.json()["data"]["audio"]
-                file_to_save = open(output_file, "wb")
+                audio_bytes = bytes.fromhex(data)
-                file_to_save.write(bytes.fromhex(data))
+                if output_file:
+                    with open(output_file, "wb") as file_to_save:
+                        file_to_save.write(audio_bytes)
+                else:
+                    return audio_bytes
             else:
                 raise Exception(
                     f"{__name__} status_code: {resp.status_code} response: {resp.content}"

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

@@ -17,14 +17,17 @@ class TTSProvider(TTSProviderBase):
             self.voice = config.get("private_voice")
         else:
             self.voice = config.get("voice", "alloy")
-        self.response_format = "wav"
+        self.response_format = config.get("format", "wav")
+        self.audio_file_type = config.get("format", "wav")
 
         # 处理空字符串的情况
         speed = config.get("speed", "1.0")
         self.speed = float(speed) if speed else 1.0
 
         self.output_file = config.get("output_dir", "tmp/")
-        check_model_key("TTS", self.api_key)
+        model_key_msg = check_model_key("TTS", self.api_key)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
 
     async def text_to_speak(self, text, output_file):
         headers = {
@@ -40,8 +43,11 @@ class TTSProvider(TTSProviderBase):
         }
         response = requests.post(self.api_url, json=data, headers=headers)
         if response.status_code == 200:
-            with open(output_file, "wb") as audio_file:
+            if output_file:
-                audio_file.write(response.content)
+                with open(output_file, "wb") as audio_file:
+                    audio_file.write(response.content)
+            else:
+                return response.content
         else:
             raise Exception(
                 f"OpenAI TTS请求失败: {response.status_code} - {response.text}"

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

@@ -11,7 +11,8 @@ class TTSProvider(TTSProviderBase):
             self.voice = config.get("private_voice")
         else:
             self.voice = config.get("voice")
-        self.response_format = config.get("response_format")
+        self.response_format = config.get("response_format", "mp3")
+        self.audio_file_type = config.get("response_format", "mp3")
         self.sample_rate = config.get("sample_rate")
         self.speed = float(config.get("speed", 1.0))
         self.gain = config.get("gain")
@@ -35,7 +36,10 @@ class TTSProvider(TTSProviderBase):
                 "POST", self.api_url, json=request_json, headers=headers
             )
             data = response.content
-            file_to_save = open(output_file, "wb")
+            if output_file:
-            file_to_save.write(data)
+                with open(output_file, "wb") as file_to_save:
+                    file_to_save.write(data)
+            else:
+                return data
         except Exception as e:
             raise Exception(f"{__name__} error: {e}")

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

@@ -22,6 +22,7 @@ class TTSProvider(TTSProviderBase):
         self.api_url = "https://tts.tencentcloudapi.com"  # 正确的API端点
         self.region = config.get("region")
         self.output_file = config.get("output_dir")
+        self.audio_file_type = config.get("format", "wav")
 
     def _get_auth_headers(self, request_body):
         """生成鉴权请求头"""
@@ -148,12 +149,14 @@ class TTSProvider(TTSProviderBase):
                         f"API返回错误: {error_info['Code']}: {error_info['Message']}"
                     )
 
-                # 提取音频数据
+                # 解码Base64音频数据
-                audio_data = response_data["Response"].get("Audio")
+                audio_bytes = base64.b64decode(response_data["Response"].get("Audio"))
-                if audio_data:
+                if audio_bytes:
-                    # 解码Base64音频数据并保存
+                    if output_file:
-                    with open(output_file, "wb") as f:
+                        with open(output_file, "wb") as f:
-                        f.write(base64.b64decode(audio_data))
+                            f.write(audio_bytes)
+                    else:
+                        return audio_bytes
                 else:
                     raise Exception(f"{__name__}: 没有返回音频数据: {response_data}")
             else:

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

@@ -19,9 +19,9 @@ class TTSProvider(TTSProviderBase):
             "https://u95167-bd74-2aef8085.westx.seetacloud.com:8443/flashsummary/tts?token=",
         )
         if config.get("private_voice"):
-            self.voice_id = int(config.get("private_voice"))
+            self.voice = int(config.get("private_voice"))
         else:
-            self.voice_id = int(config.get("voice_id", 1695))
+            self.voice = int(config.get("voice_id", 1695))
         self.token = config.get("token")
         self.to_lang = config.get("to_lang")
         self.volume_change_dB = int(config.get("volume_change_dB", 0))
@@ -30,6 +30,7 @@ class TTSProvider(TTSProviderBase):
         self.output_file = config.get("output_dir")
         self.pitch_factor = int(config.get("pitch_factor", 0))
         self.format = config.get("format", "mp3")
+        self.audio_file_type = config.get("format", "mp3")
         self.emotion = int(config.get("emotion", 1))
         self.header = {"Content-Type": "application/json"}
 
@@ -49,7 +50,7 @@ class TTSProvider(TTSProviderBase):
                 "emotion": self.emotion,
                 "format": self.format,
                 "volume_change_dB": self.volume_change_dB,
-                "voice_id": self.voice_id,
+                "voice_id": self.voice,
                 "pitch_factor": self.pitch_factor,
                 "speed_factor": self.speed_factor,
                 "token": self.token,
@@ -73,9 +74,11 @@ class TTSProvider(TTSProviderBase):
             )
 
             audio_content = requests.get(result)
-            with open(output_file, "wb") as f:
+            if output_file:
-                f.write(audio_content.content)
+                with open(output_file, "wb") as f:
-                return True
+                    f.write(audio_content.content)
+            else:
+                return audio_content.content
             voice_path = resp_json.get("voice_path")
             des_path = output_file
             shutil.move(voice_path, des_path)

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

@@ -35,6 +35,10 @@ class VADProvider(VADProviderBase):
             pcm_frame = self.decoder.decode(opus_packet, 960)
             conn.client_audio_buffer.extend(pcm_frame)  # 将新数据加入缓冲区
 
+            # 初始化帧计数器
+            if not hasattr(conn, "client_voice_frame_count"):
+                conn.client_voice_frame_count = 0
+
             # 处理缓冲区中的完整帧（每次处理512采样点）
             client_have_voice = False
             while len(conn.client_audio_buffer) >= 512 * 2:
@@ -50,7 +54,15 @@ class VADProvider(VADProviderBase):
                 # 检测语音活动
                 with torch.no_grad():
                     speech_prob = self.model(audio_tensor, 16000).item()
-                client_have_voice = speech_prob >= self.vad_threshold
+                is_voice = speech_prob >= self.vad_threshold
+
+                if is_voice:
+                    conn.client_voice_frame_count += 1
+                else:
+                    conn.client_voice_frame_count = 0
+
+                # 只有连续4帧检测到语音才认为有语音
+                client_have_voice = conn.client_voice_frame_count >= 4
 
                 # 如果之前有声音，但本次没有声音，且与上次有声音的时间差已经超过了静默阈值，则认为已经说完一句话
                 if conn.client_have_voice and not client_have_voice:

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

@@ -34,7 +34,9 @@ class VLLMProvider(VLLMProviderBase):
             except (ValueError, TypeError):
                 setattr(self, param, default)
 
-        check_model_key("VLLM", self.api_key)
+        model_key_msg = check_model_key("VLLM", self.api_key)
+        if model_key_msg:
+            logger.bind(tag=TAG).error(model_key_msg)
         self.client = openai.OpenAI(api_key=self.api_key, base_url=self.base_url)
 
     def response(self, question, base64_image):

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

@@ -1,12 +1,80 @@
 import jwt
 import time
+import json
+import os
 from datetime import datetime, timedelta, timezone
-from typing import Optional, Tuple
+from typing import Tuple, Optional
+from cryptography.hazmat.primitives.ciphers import Cipher, algorithms, modes
+from cryptography.hazmat.primitives import padding
+from cryptography.hazmat.backends import default_backend
+import base64
 
 
 class AuthToken:
     def __init__(self, secret_key: str):
-        self.secret_key = secret_key
+        self.secret_key = secret_key.encode()  # 转换为字节
+        # 从密钥派生固定长度的加密密钥 (32字节 for AES-256)
+        self.encryption_key = self._derive_key(32)
+
+    def _derive_key(self, length: int) -> bytes:
+        """派生固定长度的密钥"""
+        from cryptography.hazmat.primitives import hashes
+        from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
+
+        # 使用固定盐值（实际生产环境应使用随机盐）
+        salt = b"fixed_salt_placeholder"  # 生产环境应改为随机生成
+        kdf = PBKDF2HMAC(
+            algorithm=hashes.SHA256(),
+            length=length,
+            salt=salt,
+            iterations=100000,
+            backend=default_backend(),
+        )
+        return kdf.derive(self.secret_key)
+
+    def _encrypt_payload(self, payload: dict) -> str:
+        """使用AES-GCM加密整个payload"""
+        # 将payload转换为JSON字符串
+        payload_json = json.dumps(payload)
+
+        # 生成随机IV
+        iv = os.urandom(12)
+        # 创建加密器
+        cipher = Cipher(
+            algorithms.AES(self.encryption_key),
+            modes.GCM(iv),
+            backend=default_backend(),
+        )
+        encryptor = cipher.encryptor()
+
+        # 加密并生成标签
+        ciphertext = encryptor.update(payload_json.encode()) + encryptor.finalize()
+        tag = encryptor.tag
+
+        # 组合 IV + 密文 + 标签
+        encrypted_data = iv + ciphertext + tag
+        return base64.urlsafe_b64encode(encrypted_data).decode()
+
+    def _decrypt_payload(self, encrypted_data: str) -> dict:
+        """解密AES-GCM加密的payload"""
+        # 解码Base64
+        data = base64.urlsafe_b64decode(encrypted_data.encode())
+        # 拆分组件
+        iv = data[:12]
+        tag = data[-16:]
+        ciphertext = data[12:-16]
+
+        # 创建解密器
+        cipher = Cipher(
+            algorithms.AES(self.encryption_key),
+            modes.GCM(iv, tag),
+            backend=default_backend(),
+        )
+        decryptor = cipher.decryptor()
+
+        # 解密
+        plaintext = decryptor.update(ciphertext) + decryptor.finalize()
+        return json.loads(plaintext.decode())
 
     def generate_token(self, device_id: str) -> str:
         """
@@ -17,11 +85,17 @@ class AuthToken:
         # 设置过期时间为1小时后
         expire_time = datetime.now(timezone.utc) + timedelta(hours=1)
 
-        # 创建payload
+        # 创建原始payload
         payload = {"device_id": device_id, "exp": expire_time.timestamp()}
 
+        # 加密整个payload
+        encrypted_payload = self._encrypt_payload(payload)
+
+        # 创建外层payload，包含加密数据
+        outer_payload = {"data": encrypted_payload}
+
         # 使用JWT进行编码
-        token = jwt.encode(payload, self.secret_key, algorithm="HS256")
+        token = jwt.encode(outer_payload, self.secret_key, algorithm="HS256")
         return token
 
     def verify_token(self, token: str) -> Tuple[bool, Optional[str]]:
@@ -31,13 +105,22 @@ class AuthToken:
         :return: (是否有效, 设备ID)
         """
         try:
-            # 解码token
+            # 先验证外层JWT（签名和过期时间）
-            payload = jwt.decode(token, self.secret_key, algorithms=["HS256"])
+            outer_payload = jwt.decode(token, self.secret_key, algorithms=["HS256"])
 
-            # 检查是否过期
+            # 解密内层payload
-            if payload["exp"] < time.time():
+            inner_payload = self._decrypt_payload(outer_payload["data"])
+
+            # 再次检查过期时间（双重验证）
+            if inner_payload["exp"] < time.time():
                 return False, None
 
-            return True, payload["device_id"]
+            return True, inner_payload["device_id"]
+
         except jwt.InvalidTokenError:
             return False, None
+        except json.JSONDecodeError:
+            return False, None
+        except Exception as e:  # 捕获其他可能的错误
+            print(f"Token verification failed: {str(e)}")
+            return False, None

main/xiaozhi-server/core/utils/p3.py

@@ -29,5 +29,31 @@ def decode_opus_from_file(input_file):
             total_frames += 1
 
     # 计算总时长
+    total_duration = (total_frames * frame_duration_ms) / 1000.0
+    return opus_datas, total_duration
+
+def decode_opus_from_bytes(input_bytes):
+    """
+    从p3二进制数据中解码 Opus 数据，并返回一个 Opus 数据包的列表以及总时长。
+    """
+    import io
+    opus_datas = []
+    total_frames = 0
+    sample_rate = 16000  # 文件采样率
+    frame_duration_ms = 60  # 帧时长
+    frame_size = int(sample_rate * frame_duration_ms / 1000)
+
+    f = io.BytesIO(input_bytes)
+    while True:
+        header = f.read(4)
+        if not header:
+            break
+        _, _, data_len = struct.unpack('>BBH', header)
+        opus_data = f.read(data_len)
+        if len(opus_data) != data_len:
+            raise ValueError(f"Data length({len(opus_data)}) mismatch({data_len}) in the bytes.")
+        opus_datas.append(opus_data)
+        total_frames += 1
+
     total_duration = (total_frames * frame_duration_ms) / 1000.0
     return opus_datas, total_duration

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

@@ -9,26 +9,38 @@ def get_string_no_punctuation_or_emoji(s):
     end = len(chars) - 1
     while end >= start and is_punctuation_or_emoji(chars[end]):
         end -= 1
-    return ''.join(chars[start:end + 1])
+    return "".join(chars[start : end + 1])
+
 
 def is_punctuation_or_emoji(char):
     """检查字符是否为空格、指定标点或表情符号"""
     # 定义需要去除的中英文标点（包括全角/半角）
     punctuation_set = {
-        '，', ',',  # 中文逗号 + 英文逗号
+        "，",
-        '。', '.',  # 中文句号 + 英文句号
+        ",",  # 中文逗号 + 英文逗号
-        '！', '!',  # 中文感叹号 + 英文感叹号
+        "。",
-        '-', '－',  # 英文连字符 + 中文全角横线
+        ".",  # 中文句号 + 英文句号
-        '、'  # 中文顿号
+        "！",
+        "!",  # 中文感叹号 + 英文感叹号
+        "-",
+        "－",  # 英文连字符 + 中文全角横线
+        "、",  # 中文顿号
+        "[",
+        "]",  # 方括号
+        "【",
+        "】",  # 中文方括号
     }
     if char.isspace() or char in punctuation_set:
         return True
     # 检查表情符号（保留原有逻辑）
     code_point = ord(char)
     emoji_ranges = [
-        (0x1F600, 0x1F64F), (0x1F300, 0x1F5FF),
+        (0x1F600, 0x1F64F),
-        (0x1F680, 0x1F6FF), (0x1F900, 0x1F9FF),
+        (0x1F300, 0x1F5FF),
-        (0x1FA70, 0x1FAFF), (0x2600, 0x26FF),
+        (0x1F680, 0x1F6FF),
-        (0x2700, 0x27BF)
+        (0x1F900, 0x1F9FF),
+        (0x1FA70, 0x1FAFF),
+        (0x2600, 0x26FF),
+        (0x2700, 0x27BF),
     ]
-    return any(start <= code_point <= end for start, end in emoji_ranges)
+    return any(start <= code_point <= end for start, end in emoji_ranges)

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

@@ -3,6 +3,9 @@ import socket
 import subprocess
 import re
 import os
+import wave
+from io import BytesIO
+from core.utils import p3
 import numpy as np
 import requests
 import opuslib_next
@@ -183,10 +186,8 @@ def remove_punctuation_and_length(text):
 
 def check_model_key(modelType, modelKey):
     if "你" in modelKey:
-        raise ValueError(
+        return f"配置错误: {modelType} 的 API key 未设置,当前值为: {modelKey}"
-            "你还没配置" + modelType + "的密钥，请检查一下所使用的LLM是否配置了密钥"
+    return None
-        )
-    return True
 
 
 def parse_string_to_list(value, separator=";"):
@@ -773,6 +774,24 @@ def audio_to_data(audio_file_path, is_opus=True):
     return pcm_to_data(raw_data, is_opus), duration
 
 
+def audio_bytes_to_data(audio_bytes, file_type, is_opus=True):
+    """
+    直接用音频二进制数据转为opus/pcm数据，支持wav、mp3、p3
+    """
+    if file_type == "p3":
+        # 直接用p3解码
+        return p3.decode_opus_from_bytes(audio_bytes)
+    else:
+        # 其他格式用pydub
+        audio = AudioSegment.from_file(
+            BytesIO(audio_bytes), format=file_type, parameters=["-nostdin"]
+        )
+        audio = audio.set_channels(1).set_frame_rate(16000).set_sample_width(2)
+        duration = len(audio) / 1000.0
+        raw_data = audio.raw_data
+        return pcm_to_data(raw_data, is_opus), duration
+
+
 def pcm_to_data(raw_data, is_opus=True):
     # 初始化Opus编码器
     encoder = opuslib_next.Encoder(16000, 1, opuslib_next.APPLICATION_AUDIO)
@@ -804,6 +823,33 @@ def pcm_to_data(raw_data, is_opus=True):
     return datas
 
 
+def opus_datas_to_wav_bytes(opus_datas, sample_rate=16000, channels=1):
+    """
+    将opus帧列表解码为wav字节流
+    """
+    decoder = opuslib_next.Decoder(sample_rate, channels)
+    pcm_datas = []
+
+    frame_duration = 60  # ms
+    frame_size = int(sample_rate * frame_duration / 1000)  # 960
+
+    for opus_frame in opus_datas:
+        # 解码为PCM（返回bytes，2字节/采样点）
+        pcm = decoder.decode(opus_frame, frame_size)
+        pcm_datas.append(pcm)
+
+    pcm_bytes = b"".join(pcm_datas)
+
+    # 写入wav字节流
+    wav_buffer = BytesIO()
+    with wave.open(wav_buffer, "wb") as wf:
+        wf.setnchannels(channels)
+        wf.setsampwidth(2)  # 16bit
+        wf.setframerate(sample_rate)
+        wf.writeframes(pcm_bytes)
+    return wav_buffer.getvalue()
+
+
 def check_vad_update(before_config, new_config):
     if (
         new_config.get("selected_module") is None
@@ -930,3 +976,8 @@ def is_valid_image_file(file_data: bytes) -> bool:
             return True
 
     return False
+
+
+def sanitize_tool_name(name: str) -> str:
+    """Sanitize tool names for OpenAI compatibility."""
+    return re.sub(r"[^a-zA-Z0-9_-]", "_", name)

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

@@ -0,0 +1,140 @@
+import os
+import re
+import yaml
+import time
+import hashlib
+import portalocker
+from typing import Dict
+
+
+class FileLock:
+    def __init__(self, file, timeout=5):
+        self.file = file
+        self.timeout = timeout
+        self.start_time = None
+
+    def __enter__(self):
+        self.start_time = time.time()
+        while True:
+            try:
+                portalocker.lock(self.file, portalocker.LOCK_EX | portalocker.LOCK_NB)
+                return self.file
+            except portalocker.LockException:
+                if time.time() - self.start_time > self.timeout:
+                    raise TimeoutError("获取文件锁超时")
+                time.sleep(0.1)
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        portalocker.unlock(self.file)
+
+
+class WakeupWordsConfig:
+    def __init__(self):
+        self.config_file = "data/.wakeup_words.yaml"
+        self.assets_dir = "config/assets/wakeup_words"
+        self._ensure_directories()
+        self._config_cache = None
+        self._last_load_time = 0
+        self._cache_ttl = 1  # 缓存有效期（秒）
+        self._lock_timeout = 5  # 文件锁超时时间（秒）
+
+    def _ensure_directories(self):
+        """确保必要的目录存在"""
+        os.makedirs(os.path.dirname(self.config_file), exist_ok=True)
+        os.makedirs(self.assets_dir, exist_ok=True)
+
+    def _load_config(self) -> Dict:
+        """加载配置文件，使用缓存机制"""
+        current_time = time.time()
+
+        # 如果缓存有效，直接返回缓存
+        if (
+            self._config_cache is not None
+            and current_time - self._last_load_time < self._cache_ttl
+        ):
+            return self._config_cache
+
+        try:
+            with open(self.config_file, "a+") as f:
+                with FileLock(f, timeout=self._lock_timeout):
+                    f.seek(0)
+                    content = f.read()
+                    config = yaml.safe_load(content) if content else {}
+                    self._config_cache = config
+                    self._last_load_time = current_time
+                    return config
+        except (TimeoutError, IOError) as e:
+            print(f"加载配置文件失败: {e}")
+            return {}
+        except Exception as e:
+            print(f"加载配置文件时发生未知错误: {e}")
+            return {}
+
+    def _save_config(self, config: Dict):
+        """保存配置到文件，使用文件锁保护"""
+        try:
+            with open(self.config_file, "w") as f:
+                with FileLock(f, timeout=self._lock_timeout):
+                    yaml.dump(config, f, allow_unicode=True)
+                    self._config_cache = config
+                    self._last_load_time = time.time()
+        except (TimeoutError, IOError) as e:
+            print(f"保存配置文件失败: {e}")
+            raise
+        except Exception as e:
+            print(f"保存配置文件时发生未知错误: {e}")
+            raise
+
+    def get_wakeup_response(self, voice: str) -> Dict:
+        voice = hashlib.md5(voice.encode()).hexdigest()
+        """获取唤醒词回复配置"""
+        config = self._load_config()
+
+        if not config or voice not in config:
+            return None
+
+        # 检查文件大小
+        file_path = config[voice]["file_path"]
+        if not os.path.exists(file_path) or os.stat(file_path).st_size < (15 * 1024):
+            return None
+
+        return config[voice]
+
+    def update_wakeup_response(self, voice: str, file_path: str, text: str):
+        """更新唤醒词回复配置"""
+        try:
+            # 过滤表情符号
+            filtered_text = re.sub(r'[\U0001F600-\U0001F64F\U0001F900-\U0001F9FF]', '', text)
+            
+            config = self._load_config()
+            voice_hash = hashlib.md5(voice.encode()).hexdigest()
+            config[voice_hash] = {
+                "voice": voice,
+                "file_path": file_path,
+                "time": time.time(),
+                "text": filtered_text,
+            }
+            self._save_config(config)
+        except Exception as e:
+            print(f"更新唤醒词回复配置失败: {e}")
+            raise
+
+    def generate_file_path(self, voice: str) -> str:
+        """生成音频文件路径，使用voice的哈希值作为文件名"""
+        try:
+            # 生成voice的哈希值
+            voice_hash = hashlib.md5(voice.encode()).hexdigest()
+            file_path = os.path.join(self.assets_dir, f"{voice_hash}.wav")
+
+            # 如果文件已存在，先删除
+            if os.path.exists(file_path):
+                try:
+                    os.remove(file_path)
+                except Exception as e:
+                    print(f"删除已存在的音频文件失败: {e}")
+                    raise
+
+            return file_path
+        except Exception as e:
+            print(f"生成音频文件路径失败: {e}")
+            raise

main/xiaozhi-server/plugins_func/functions/get_news_from_chinanews.py

@@ -120,16 +120,16 @@ def map_category(category_text):
     # 类别映射字典，目前支持社会、国际、财经新闻，如需更多类型，参见配置文件
     category_map = {
         # 社会新闻
-        "社会": "society",
+        "社会": "society_rss_url",
-        "社会新闻": "society",
+        "社会新闻": "society_rss_url",
         # 国际新闻
-        "国际": "world",
+        "国际": "world_rss_url",
-        "国际新闻": "world",
+        "国际新闻": "world_rss_url",
         # 财经新闻
-        "财经": "finance",
+        "财经": "finance_rss_url",
-        "财经新闻": "finance",
+        "财经新闻": "finance_rss_url",
-        "金融": "finance",
+        "金融": "finance_rss_url",
-        "经济": "finance",
+        "经济": "finance_rss_url",
     }
 
     # 转换为小写并去除空格
@@ -205,8 +205,8 @@ def get_news_from_chinanews(
 
         # 如果提供了类别，尝试从配置中获取对应的URL
         rss_url = default_rss_url
-        if mapped_category and mapped_category in rss_config.get("category_urls", {}):
+        if mapped_category and mapped_category in rss_config:
-            rss_url = rss_config["category_urls"][mapped_category]
+            rss_url = rss_config[mapped_category]
 
         logger.bind(tag=TAG).info(
             f"获取新闻: 原始类别={category}, 映射类别={mapped_category}, URL={rss_url}"

main/xiaozhi-server/plugins_func/functions/handle_speaker_or_screen.py

@@ -1,157 +0,0 @@
-from config.logger import setup_logging
-from plugins_func.register import register_function, ToolType, ActionResponse, Action
-from core.handle.iotHandle import get_iot_status, send_iot_conn
-import asyncio
-
-TAG = __name__
-logger = setup_logging()
-
-
-async def _get_device_status(conn, device_name, device_type, property_name):
-    """获取设备状态"""
-    status = await get_iot_status(conn, device_type, property_name)
-    if status is None:
-        raise Exception(f"你的设备不支持{device_name}控制")
-    return status
-
-
-async def _set_device_property(
-    conn,
-    device_name,
-    device_type,
-    method_name,
-    property_name,
-    new_value=None,
-    action=None,
-    step=10,
-):
-    """设置设备属性"""
-    current_value = await _get_device_status(
-        conn, device_name, device_type, property_name
-    )
-
-    if action == "raise":
-        current_value += step
-    elif action == "lower":
-        current_value -= step
-    elif action == "set":
-        if new_value is None:
-            raise Exception(f"缺少{property_name}参数")
-        current_value = new_value
-
-    # 限制属性范围在0到100之间
-    current_value = max(0, min(100, current_value))
-
-    await send_iot_conn(conn, device_type, method_name, {property_name: current_value})
-    return current_value
-
-
-def _handle_device_action(conn, func, success_message, error_message, *args, **kwargs):
-    """处理设备操作的通用函数"""
-    future = asyncio.run_coroutine_threadsafe(func(conn, *args, **kwargs), conn.loop)
-    try:
-        result = future.result()
-        logger.bind(tag=TAG).info(f"{success_message}: {result}")
-        response = f"{success_message}{result}"
-        return ActionResponse(action=Action.RESPONSE, result=result, response=response)
-    except Exception as e:
-        logger.bind(tag=TAG).error(f"{error_message}: {e}")
-        response = f"{error_message}: {e}"
-        return ActionResponse(action=Action.RESPONSE, result=None, response=response)
-
-
-# 设备控制
-handle_device_function_desc = {
-    "type": "function",
-    "function": {
-        "name": "handle_speaker_volume_or_screen_brightness",
-        "description": (
-            "用户想要获取或者设置设备的音量/亮度大小，或者用户觉得声音/亮度过高或过低，或者用户想提高或降低音量/亮度。\n"
-            "**严格限制**：仅当用户明确操作 **Speaker（音量）或Screen（亮度）** 时才能调用此函数！\n"
-            "对于其他设备（如AC、Battery、Switch等），请不要调用此函数，而是继续正常的对话。\n\n"
-            "示例：\n"
-            "- 用户说『现在亮度多少』 → 调用函数：device_type: Screen, action: get\n"
-            "- 用户说『设置音量为50』 → 调用函数：device_type: Speaker, action: set, value: 50\n"
-            "- 用户说『亮度太高了』 → 调用函数：device_type: Screen, action: lower\n"
-            "- 用户说『调大音量』 → 调用函数：device_type: Speaker, action: raise\n\n"
-            "**拒绝调用示例**（应继续对话而非调用本函数）：\n"
-            "- 用户说『空调调低一度』 → 不调用（设备类型为AC）\n"
-            "- 用户说『开关灯』 → 不调用（设备类型为Switch）\n"
-            "- 用户说『电量多少』 → 不调用（设备类型为Battery）\n"
-        ),
-        "parameters": {
-            "type": "object",
-            "properties": {
-                "device_type": {
-                    "type": "string",
-                    "description": "设备类型，**严格限定为Speaker（音量）或Screen（亮度）**，其他设备类型禁止调用此函数",
-                    "enum": ["Speaker", "Screen"],
-                },
-                "action": {
-                    "type": "string",
-                    "description": "动作名称，可选值：get(获取),set(设置),raise(提高),lower(降低)",
-                },
-                "value": {
-                    "type": "integer",
-                    "description": "值大小，可选值：0-100之间的整数",
-                },
-            },
-            "required": ["device_type", "action"],
-        },
-    },
-}
-
-
-@register_function(
-    "handle_speaker_volume_or_screen_brightness",
-    handle_device_function_desc,
-    ToolType.IOT_CTL,
-)
-def handle_speaker_volume_or_screen_brightness(
-    conn, device_type: str, action: str, value: int = None
-):
-    # 检查value是否为中文值
-    if (
-        value is not None
-        and isinstance(value, str)
-        and any("\u4e00" <= char <= "\u9fff" for char in str(value))
-    ):
-        raise Exception(
-            f"请直接告诉我要将{'音量' if device_type=='Speaker' else '亮度'}调整成多少"
-        )
-
-    if device_type == "Speaker":
-        method_name, property_name, device_name = "SetVolume", "volume", "音量"
-    elif device_type == "Screen":
-        method_name, property_name, device_name = "SetBrightness", "brightness", "亮度"
-    else:
-        raise Exception(f"未识别的设备类型: {device_type}")
-
-    if action not in ["get", "set", "raise", "lower"]:
-        raise Exception(f"未识别的动作名称: {action}")
-
-    if action == "get":
-        # get
-        return _handle_device_action(
-            conn,
-            _get_device_status,
-            f"当前{device_name}",
-            f"获取{device_name}失败",
-            device_name=device_name,
-            device_type=device_type,
-            property_name=property_name,
-        )
-    else:
-        # set, raise, lower
-        return _handle_device_action(
-            conn,
-            _set_device_property,
-            f"{device_name}已调整到",
-            f"{device_name}调整失败",
-            device_name=device_name,
-            device_type=device_type,
-            method_name=method_name,
-            property_name=property_name,
-            new_value=value,
-            action=action,
-        )

main/xiaozhi-server/plugins_func/functions/hass_get_state.py

@@ -17,57 +17,78 @@ hass_get_state_function_desc = {
             "properties": {
                 "entity_id": {
                     "type": "string",
-                    "description": "需要操作的设备id,homeassistant里的entity_id"
+                    "description": "需要操作的设备id,homeassistant里的entity_id",
                 }
             },
-            "required": ["entity_id"]
+            "required": ["entity_id"],
-        }
+        },
-    }
+    },
 }
 
 
 @register_function("hass_get_state", hass_get_state_function_desc, ToolType.SYSTEM_CTL)
-def hass_get_state(conn, entity_id=''):
+def hass_get_state(conn, entity_id=""):
     try:
 
         future = asyncio.run_coroutine_threadsafe(
-            handle_hass_get_state(conn, entity_id),
+            handle_hass_get_state(conn, entity_id), conn.loop
-            conn.loop
         )
         ha_response = future.result()
-        return ActionResponse( Action.REQLLM, ha_response , None )
+        return ActionResponse(Action.REQLLM, ha_response, None)
     except Exception as e:
         logger.bind(tag=TAG).error(f"处理设置属性意图错误: {e}")
 
 
 async def handle_hass_get_state(conn, entity_id):
-    HASS_CACHE = initialize_hass_handler(conn)
+    ha_config = initialize_hass_handler(conn)
-    api_key = HASS_CACHE['api_key']
+    api_key = ha_config.get("api_key")
-    base_url = HASS_CACHE['base_url']
+    base_url = ha_config.get("base_url")
     url = f"{base_url}/api/states/{entity_id}"
-    headers = {
+    headers = {"Authorization": f"Bearer {api_key}", "Content-Type": "application/json"}
-        "Authorization": f"Bearer {api_key}",
-        "Content-Type": "application/json"
-    }
     response = requests.get(url, headers=headers)
     if response.status_code == 200:
-        responsetext = '设备状态:' + response.json()['state'] + ' '
+        responsetext = "设备状态:" + response.json()["state"] + " "
         logger.bind(tag=TAG).info(f"api返回内容: {response.json()}")
 
-        if 'media_title' in response.json()['attributes']:
+        if "media_title" in response.json()["attributes"]:
-            responsetext = responsetext+ '正在播放的是:'+str(response.json()['attributes']['media_title'])+' '
+            responsetext = (
-        if 'volume_level' in response.json()['attributes']:
+                responsetext
-            responsetext = responsetext+ '音量是:'+str(response.json()['attributes']['volume_level'])+' '
+                + "正在播放的是:"
-        if 'color_temp_kelvin' in response.json()['attributes']:
+                + str(response.json()["attributes"]["media_title"])
-            responsetext = responsetext+ '色温是:'+str(response.json()['attributes']['color_temp_kelvin'])+' '
+                + " "
-        if 'rgb_color' in response.json()['attributes']:
+            )
-            responsetext = responsetext+ 'rgb颜色是:'+str(response.json()['attributes']['rgb_color'])+' '
+        if "volume_level" in response.json()["attributes"]:
-        if 'brightness' in response.json()['attributes']:
+            responsetext = (
-            responsetext = responsetext+ '亮度是:'+str(response.json()['attributes']['brightness'])+' '
+                responsetext
+                + "音量是:"
+                + str(response.json()["attributes"]["volume_level"])
+                + " "
+            )
+        if "color_temp_kelvin" in response.json()["attributes"]:
+            responsetext = (
+                responsetext
+                + "色温是:"
+                + str(response.json()["attributes"]["color_temp_kelvin"])
+                + " "
+            )
+        if "rgb_color" in response.json()["attributes"]:
+            responsetext = (
+                responsetext
+                + "rgb颜色是:"
+                + str(response.json()["attributes"]["rgb_color"])
+                + " "
+            )
+        if "brightness" in response.json()["attributes"]:
+            responsetext = (
+                responsetext
+                + "亮度是:"
+                + str(response.json()["attributes"]["brightness"])
+                + " "
+            )
         logger.bind(tag=TAG).info(f"查询返回内容: {responsetext}")
         return responsetext
-        #return response.json()['attributes']
+        # return response.json()['attributes']
-        #response.attributes
+        # response.attributes
 
     else:
         return f"切换失败，错误码: {response.status_code}"