Merge pull request #2695 from xinnan-tech/py_device_bind

update: 未绑定设备策略优化
update:常用音频增加缓存，抵御高并发未授权设备访问
2026-07-23 23:53:55 +08:00 · 2025-12-13 23:30:44 +08:00 · 2025-12-13 23:10:40 +08:00 · 2025-12-13 22:29:10 +08:00 · 2025-12-13 21:45:31 +08:00 · 2025-12-13 20:27:40 +08:00
242 changed files with 29245 additions and 9531 deletions
@@ -0,0 +1,6 @@
+version: 2
+updates:
+  - package-ecosystem: pip
+    directory: /main/xiaozhi-server
+    schedule:
+      interval: weekly
@@ -0,0 +1,49 @@
+name: Build Base Image
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'main/xiaozhi-server/requirements.txt'
+      - 'Dockerfile-server-base'
+      - '.github/workflows/build-base-image.yml'
+
+jobs:
+  build-base:
+    name: Build and push server base image
+    runs-on: ubuntu-latest
+    permissions:
+      packages: write
+      contents: read
+    steps:
+      - name: Checkout code
+        uses: actions/checkout@v4
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Login to GitHub Container Registry
+        uses: docker/login-action@v3
+        with:
+          registry: ghcr.io
+          username: ${{ github.actor }}
+          password: ${{ secrets.TOKEN }}
+
+      - name: Build and push server-base
+        uses: docker/build-push-action@v6
+        with:
+          context: .
+          file: Dockerfile-server-base
+          push: true
+          tags: ghcr.io/${{ github.repository }}:server-base
+          platforms: linux/amd64
+          cache-from: type=gha,scope=server-base
+          cache-to: type=gha,mode=max,scope=server-base
+          build-args: |
+            BUILDKIT_PROGRESS=plain
+
+      - name: Output image info
+        run: |
+          echo "✅ Base image built and pushed successfully!"
+          echo "📦 Tag: ghcr.io/${{ github.repository }}:server-base"
@@ -5,6 +5,10 @@ on:
    tags:
      - 'v*.*.*'  # 只在以 v 开头的标签推送时触发，例如 v1.0.0
  workflow_dispatch:
+  workflow_run:
+    workflows: ["Build Base Image"]
+    types:
+      - completed

 jobs:
  release:
@@ -62,7 +66,7 @@ jobs:
          push: true
          tags: |
            ${{ env.IS_VERSION == 'true' && format('ghcr.io/{0}:server_{1},ghcr.io/{0}:server_latest', github.repository, env.VERSION) || format('ghcr.io/{0}:server_latest', github.repository) }}
-          platforms: linux/amd64,linux/arm64
+          platforms: linux/amd64
          cache-from: type=gha
          cache-to: type=gha,mode=max
          build-args: |
@@ -77,8 +81,8 @@ jobs:
          push: true
          tags: |
            ${{ env.IS_VERSION == 'true' && format('ghcr.io/{0}:web_{1},ghcr.io/{0}:web_latest', github.repository, env.VERSION) || format('ghcr.io/{0}:web_latest', github.repository) }}
-          platforms: linux/amd64,linux/arm64
+          platforms: linux/amd64
          cache-from: type=gha
          cache-to: type=gha,mode=max
          build-args: |
-            BUILDKIT_PROGRESS=plain
+            BUILDKIT_PROGRESS=plain
@@ -182,4 +182,5 @@ uploadfile
 # Do not ignore env and json files inside manager-mobile
 !main/manager-mobile/**/env/
 !main/manager-mobile/**/.env*
-!main/manager-mobile/**/*.json
+!main/manager-mobile/**/*.json
+!main/xiaozhi-server/**/*.json
@@ -1,36 +1,6 @@
-# 第一阶段：构建Python依赖
-FROM python:3.10-slim AS builder
+# 生产镜像，仅包含应用代码
+FROM ghcr.io/xinnan-tech/xiaozhi-esp32-server:server-base

-WORKDIR /app
-
-# 配置pip使用国内镜像源（阿里云）并设置超时和重试
-RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/ && \
-    pip config set global.trusted-host mirrors.aliyun.com && \
-    pip config set global.timeout 120 && \
-    pip config set install.retries 5
-
-COPY main/xiaozhi-server/requirements.txt .
-
-# 安装Python依赖，使用并行下载
-RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
-    pip install --no-cache-dir -r requirements.txt --default-timeout=120 --retries 5
-
-# 第二阶段：生产镜像
-FROM python:3.10-slim
-
-WORKDIR /opt/xiaozhi-esp32-server
-
-# 安装系统依赖
-RUN apt-get update && \
-    apt-get install -y --no-install-recommends libopus0 ffmpeg && \
-    apt-get clean && \
-    rm -rf /var/lib/apt/lists/*
-
-# 从构建阶段复制Python包和前端构建产物
-COPY --from=builder /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages
-COPY --from=builder /usr/local/bin/mcp-proxy /usr/local/bin/mcp-proxy
-
-# 复制应用代码
 COPY main/xiaozhi-server .

 # 启动应用
@@ -0,0 +1,32 @@
+# Dockerfile-server-base
+# 基础镜像，包含系统依赖和Python包
+FROM python:3.10-slim
+
+# 安装系统依赖
+RUN apt-get update && \
+    apt-get install -y --no-install-recommends libopus0 ffmpeg locales && \
+    sed -i '/zh_CN.UTF-8/s/^# //g' /etc/locale.gen && \
+    locale-gen && \
+    apt-get clean && \
+    rm -rf /var/lib/apt/lists/*
+
+# 配置pip使用国内镜像源（阿里云）并设置超时和重试
+RUN pip config set global.index-url https://mirrors.aliyun.com/pypi/simple/ && \
+    pip config set global.trusted-host mirrors.aliyun.com && \
+    pip config set global.timeout 120 && \
+    pip config set install.retries 5
+
+# 设置环境变量以确保正确的字符编码
+ENV LANG=zh_CN.UTF-8 \
+    LC_ALL=zh_CN.UTF-8 \
+    LANGUAGE=zh_CN:zh \
+    PYTHONIOENCODING=utf-8
+
+WORKDIR /opt/xiaozhi-esp32-server
+
+# 复制requirements.txt
+COPY main/xiaozhi-server/requirements.txt .
+
+# 安装Python依赖
+RUN pip install --no-cache-dir --upgrade pip setuptools wheel && \
+    pip install --no-cache-dir -r requirements.txt --default-timeout=120 --retries 5
@@ -6,29 +6,24 @@
 本项目基于人机共生智能理论和技术研发智能终端软硬件体系<br/>为开源智能硬件项目
 <a href="https://github.com/78/xiaozhi-esp32">xiaozhi-esp32</a>提供后端服务<br/>
 根据<a href="https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh">小智通信协议</a>使用Python、Java、Vue实现<br/>
-支持MQTT+UDP协议、Websocket协议、MCP接入点、声纹识别
+支持MQTT+UDP协议、Websocket协议、MCP接入点、声纹识别、知识库
 </p>

 <p align="center">
-<a href="./README_en.md">English</a>
-· <a href="./docs/FAQ.md">常见问题</a>
+<a href="./docs/FAQ.md">常见问题</a>
 · <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/issues">反馈问题</a>
 · <a href="./README.md#%E9%83%A8%E7%BD%B2%E6%96%87%E6%A1%A3">部署文档</a>
 · <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">更新日志</a>
 </p>
+
 <p align="center">
+  <a href="./README.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DBEDFA"></a>
+  <a href="./README_en.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
+  <a href="./README_vi.md"><img alt="Tiếng Việt" src="https://img.shields.io/badge/Tiếng Việt-DFE0E5"></a>
+  <a href="./README_de.md"><img alt="Deutsch" src="https://img.shields.io/badge/Deutsch-DFE0E5"></a>
  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">
    <img alt="GitHub Contributors" src="https://img.shields.io/github/v/release/xinnan-tech/xiaozhi-esp32-server?logo=docker" />
  </a>
-  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/graphs/contributors">
-    <img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/xinnan-tech/xiaozhi-esp32-server?logo=github" />
-  </a>
-  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/issues">
-    <img alt="Issues" src="https://img.shields.io/github/issues/xinnan-tech/xiaozhi-esp32-server?color=0088ff" />
-  </a>
-  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/pulls">
-    <img alt="GitHub pull requests" src="https://img.shields.io/github/issues-pr/xinnan-tech/xiaozhi-esp32-server?color=0088ff" />
-  </a>
  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/LICENSE">
    <img alt="GitHub pull requests" src="https://img.shields.io/badge/license-MIT-white?labelColor=black" />
  </a>
@@ -56,10 +51,24 @@ Spearheaded by Professor Siyuan Liu's Team (South China University of Technology

 <table>
  <tr>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1FMFyejExX" target="_blank">
+         <picture>
+           <img alt="响应速度感受" src="docs/images/demo9.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1vchQzaEse" target="_blank">
+         <picture>
+           <img alt="速度优化秘诀" src="docs/images/demo6.png" />
+         </picture>
+        </a>
+    </td>
    <td>
        <a href="https://www.bilibili.com/video/BV1C1tCzUEZh" target="_blank">
         <picture>
-           <img alt="小智医疗救护车场景" src="docs/images/demo1.png" />
+           <img alt="复杂医疗场景" src="docs/images/demo1.png" />
         </picture>
        </a>
    </td>
@@ -71,19 +80,14 @@ Spearheaded by Professor Siyuan Liu's Team (South China University of Technology
        </a>
    </td>
    <td>
-        <a href="https://www.bilibili.com/video/BV1CDKWemEU6" target="_blank">
+        <a href="https://www.bilibili.com/video/BV1Exu3zqEDe" target="_blank">
         <picture>
-           <img alt="自定义音色" src="docs/images/demo2.png" />
-         </picture>
-        </a>
-    </td>
-    <td>
-        <a href="https://www.bilibili.com/video/BV12yA2egEaC" target="_blank">
-         <picture>
-           <img alt="使用粤语交流" src="docs/images/demo3.png" />
+           <img alt="声纹识别" src="docs/images/demo14.png" />
         </picture>
        </a>
    </td>
+  </tr>
+  <tr>
    <td>
        <a href="https://www.bilibili.com/video/BV1pNXWYGEx1" target="_blank">
         <picture>
@@ -91,12 +95,17 @@ Spearheaded by Professor Siyuan Liu's Team (South China University of Technology
         </picture>
        </a>
    </td>
-  </tr>
-  <tr>
    <td>
-        <a href="https://www.bilibili.com/video/BV1vchQzaEse" target="_blank">
+        <a href="https://www.bilibili.com/video/BV1ZQKUzYExM" target="_blank">
         <picture>
-           <img alt="自定义音色" src="docs/images/demo6.png" />
+           <img alt="MCP接入点" src="docs/images/demo13.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+      <a href="https://www.bilibili.com/video/BV1TJ7WzzEo6" target="_blank">
+         <picture>
+           <img alt="多指令任务" src="docs/images/demo11.png" />
         </picture>
        </a>
    </td>
@@ -114,20 +123,6 @@ Spearheaded by Professor Siyuan Liu's Team (South China University of Technology
         </picture>
        </a>
    </td>
-    <td>
-        <a href="https://www.bilibili.com/video/BV178XuYfEpi" target="_blank">
-         <picture>
-           <img alt="IOT指令控制设备" src="docs/images/demo9.png" />
-         </picture>
-        </a>
-    </td>
-    <td>
-        <a href="https://www.bilibili.com/video/BV17LXWYvENb" target="_blank">
-         <picture>
-           <img alt="播报新闻" src="docs/images/demo0.png" />
-         </picture>
-        </a>
-    </td>
  </tr>
  <tr>
    <td>
@@ -145,23 +140,23 @@ Spearheaded by Professor Siyuan Liu's Team (South China University of Technology
        </a>
    </td>
    <td>
-      <a href="https://www.bilibili.com/video/BV1TJ7WzzEo6" target="_blank">
+        <a href="https://www.bilibili.com/video/BV1CDKWemEU6" target="_blank">
         <picture>
-           <img alt="多指令任务" src="docs/images/demo11.png" />
+           <img alt="自定义音色" src="docs/images/demo2.png" />
         </picture>
        </a>
    </td>
    <td>
-        <a href="https://www.bilibili.com/video/BV1ZQKUzYExM" target="_blank">
+        <a href="https://www.bilibili.com/video/BV12yA2egEaC" target="_blank">
         <picture>
-           <img alt="MCP接入点" src="docs/images/demo13.png" />
+           <img alt="使用粤语交流" src="docs/images/demo3.png" />
         </picture>
        </a>
    </td>
    <td>
-        <a href="https://www.bilibili.com/video/BV1Exu3zqEDe" target="_blank">
+        <a href="https://www.bilibili.com/video/BV17LXWYvENb" target="_blank">
         <picture>
-           <img alt="声纹识别" src="docs/images/demo14.png" />
+           <img alt="播报新闻" src="docs/images/demo0.png" />
         </picture>
        </a>
    </td>
@@ -246,8 +241,9 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/
 | 声纹识别 | 支持多用户声纹注册、管理和识别，与ASR并行处理，实时识别说话人身份并传递给LLM进行个性化回应 |
 | 智能对话 | 支持多种LLM(大语言模型)，实现智能对话 |
 | 视觉感知 | 支持多种VLLM(视觉大模型)，实现多模态交互 |
-| 意图识别 | 支持LLM意图识别、Function Call函数调用，提供插件化意图处理机制 |
+| 意图识别 | 支持外挂的大模型意图识别、大模型自主函数调用，提供插件化意图处理机制 |
 | 记忆系统 | 支持本地短期记忆、mem0ai接口记忆，具备记忆总结功能 |
+| 知识库 | 支持RAGFlow知识库，让大模型判断需要调度知识库后再回答 |
 | 工具调用 | 支持客户端IOT协议、客户MCP协议、服务端MCP协议、MCP接入点协议、自定义工具函数 |
 | 指令下发 | 依托MQTT协议，支持从智控台将MCP指令下发到ESP32设备 |
 | 管理后台 | 提供Web管理界面，支持用户管理、系统配置和设备管理；界面支持中文简体、中文繁体、英文显示 |
@@ -273,7 +269,7 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/

 | 使用方式 | 支持平台 | 免费平台 |
 |:---:|:---:|:---:|
-| openai 接口调用 | 阿里百炼、火山引擎豆包、深度求索、智谱ChatGLM、Gemini | 智谱ChatGLM、Gemini |
+| openai 接口调用 | 阿里百炼、火山引擎、DeepSeek、智谱、Gemini、科大讯飞 | 智谱、Gemini |
 | ollama 接口调用 | Ollama | - |
 | dify 接口调用 | Dify | - |
 | fastgpt 接口调用 | Fastgpt | - |
@@ -299,7 +295,7 @@ 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、阿里云流式TTS、CosyVoiceSiliconflow、TTS302AI、CozeCnTTS、GizwitsTTS、ACGNTTS、OpenAITTS、灵犀流式TTS、MinimaxTTS、火山双流式TTS | 灵犀流式TTS、EdgeTTS、CosyVoiceSiliconflow(部分) |
+| 接口调用 | EdgeTTS、科大讯飞、火山引擎、腾讯云、阿里云及百炼、CosyVoiceSiliconflow、TTS302AI、CozeCnTTS、GizwitsTTS、ACGNTTS、OpenAITTS、灵犀流式TTS、MinimaxTTS | 灵犀流式TTS、EdgeTTS、CosyVoiceSiliconflow(部分) |
 | 本地服务 | FishSpeech、GPT_SOVITS_V2、GPT_SOVITS_V3、Index-TTS、PaddleSpeech | Index-TTS、PaddleSpeech、FishSpeech、GPT_SOVITS_V2、GPT_SOVITS_V3 |

 ---
@@ -317,7 +313,7 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/
 | 使用方式 | 支持平台 | 免费平台 |
 |:---:|:---:|:---:|
 | 本地使用 | FunASR、SherpaASR | FunASR、SherpaASR |
-| 接口调用 | DoubaoASR、Doubao流式ASR、FunASRServer、TencentASR、AliyunASR、Aliyun流式ASR、百度ASR、OpenAI ASR | FunASRServer |
+| 接口调用 | FunASRServer、火山引擎、科大讯飞、腾讯云、阿里云、百度云、OpenAI ASR | FunASRServer |

 ---

@@ -349,6 +345,14 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/

 ---

+### Rag 检索增强生成
+
+|   类型   |     平台名称      | 使用方式 |  收费模式   |          备注           |
+|:------:|:-------------:|:----:|:-------:|:---------------------:|
+| Rag |  ragflow   | 接口调用 | 根据切片、分词消耗的token收费 |    借助RagFlow的检索增强生成功能，提供更准确的对话回复     |
+
+---
+
 ## 鸣谢 🙏

 | Logo | 项目/公司 | 说明 |
@@ -0,0 +1,374 @@
+[![Banners](docs/images/banner1.png)](https://github.com/xinnan-tech/xiaozhi-esp32-server)
+
+<h1 align="center">Xiaozhi Backend-Service xiaozhi-esp32-server</h1>
+
+<p align="center">
+Dieses Projekt basiert auf der Theorie und Technologie der Mensch-Maschine-symbiotischen Intelligenz zur Entwicklung intelligenter Terminal-Hardware- und Software-Systeme<br/>und bietet Backend-Dienste für das Open-Source-Hardware-Projekt
+<a href="https://github.com/78/xiaozhi-esp32">xiaozhi-esp32</a><br/>
+Implementiert mit Python, Java und Vue gemäß dem <a href="https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh">Xiaozhi-Kommunikationsprotokoll</a><br/>
+Unterstützt MQTT+UDP-Protokoll, Websocket-Protokoll, MCP-Endpunkte und Stimmabdruckerkennung
+</p>
+
+<p align="center">
+<a href="./docs/FAQ.md">Häufige Fragen</a>
+· <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/issues">Probleme melden</a>
+· <a href="./README.md#%E9%83%A8%E7%BD%B2%E6%96%87%E6%A1%A3">Deployment-Dokumentation</a>
+· <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">Release-Hinweise</a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
+  <a href="./README_en.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
+  <a href="./README_vi.md"><img alt="Tiếng Việt" src="https://img.shields.io/badge/Tiếng Việt-DFE0E5"></a>
+  <a href="./README_de.md"><img alt="Deutsch" src="https://img.shields.io/badge/Deutsch-DBEDFA"></a>
+  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">
+    <img alt="GitHub Contributors" src="https://img.shields.io/github/v/release/xinnan-tech/xiaozhi-esp32-server?logo=docker" />
+  </a>
+  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/LICENSE">
+    <img alt="GitHub pull requests" src="https://img.shields.io/badge/license-MIT-white?labelColor=black" />
+  </a>
+  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server">
+    <img alt="stars" src="https://img.shields.io/github/stars/xinnan-tech/xiaozhi-esp32-server?color=ffcb47&labelColor=black" />
+  </a>
+</p>
+
+<p align="center">
+Geleitet vom Team von Professor Siyuan Liu (South China University of Technology)
+</br>
+刘思源教授团队主导研发(华南理工大学)
+</br>
+<img src="./docs/images/hnlg.jpg" alt="South China University of Technology" width="50%">
+</p>
+
+---
+
+## Zielgruppe 👥
+
+Dieses Projekt erfordert ESP32-Hardware-Geräte zum Betrieb. Wenn Sie ESP32-bezogene Hardware erworben haben, erfolgreich eine Verbindung zu Brother Xias bereitgestelltem Backend-Service hergestellt haben und Ihren eigenen `xiaozhi-esp32`-Backend-Service unabhängig aufbauen möchten, dann ist dieses Projekt perfekt für Sie.
+
+Möchten Sie die Nutzungseffekte sehen? Klicken Sie auf die Videos unten 🎥
+
+<table>
+  <tr>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1FMFyejExX" target="_blank">
+         <picture>
+           <img alt="响应速度感受" src="docs/images/demo9.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1vchQzaEse" target="_blank">
+         <picture>
+           <img alt="速度优化秘诀" src="docs/images/demo6.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1C1tCzUEZh" target="_blank">
+         <picture>
+           <img alt="复杂医疗场景" src="docs/images/demo1.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1zUW5zJEkq" target="_blank">
+         <picture>
+           <img alt="MQTT指令下发" src="docs/images/demo4.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1Exu3zqEDe" target="_blank">
+         <picture>
+           <img alt="声纹识别" src="docs/images/demo14.png" />
+         </picture>
+        </a>
+    </td>
+  </tr>
+  <tr>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1pNXWYGEx1" target="_blank">
+         <picture>
+           <img alt="控制家电开关" src="docs/images/demo5.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1ZQKUzYExM" target="_blank">
+         <picture>
+           <img alt="MCP接入点" src="docs/images/demo13.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+      <a href="https://www.bilibili.com/video/BV1TJ7WzzEo6" target="_blank">
+         <picture>
+           <img alt="多指令任务" src="docs/images/demo11.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1VC96Y5EMH" target="_blank">
+         <picture>
+           <img alt="播放音乐" src="docs/images/demo7.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1Z8XuYZEAS" target="_blank">
+         <picture>
+           <img alt="天气插件" src="docs/images/demo8.png" />
+         </picture>
+        </a>
+    </td>
+  </tr>
+  <tr>
+    <td>
+      <a href="https://www.bilibili.com/video/BV12J7WzBEaH" target="_blank">
+         <picture>
+           <img alt="实时打断" src="docs/images/demo10.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+      <a href="https://www.bilibili.com/video/BV1Co76z7EvK" target="_blank">
+         <picture>
+           <img alt="拍照识物品" src="docs/images/demo12.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1CDKWemEU6" target="_blank">
+         <picture>
+           <img alt="自定义音色" src="docs/images/demo2.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV12yA2egEaC" target="_blank">
+         <picture>
+           <img alt="使用粤语交流" src="docs/images/demo3.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV17LXWYvENb" target="_blank">
+         <picture>
+           <img alt="播报新闻" src="docs/images/demo0.png" />
+         </picture>
+        </a>
+    </td>
+  </tr>
+</table>
+
+---
+
+## Warnungen ⚠️
+
+1. Dieses Projekt ist Open-Source-Software. Diese Software hat keine kommerzielle Partnerschaft mit Drittanbieter-API-Dienstleistern (einschließlich, aber nicht beschränkt auf Spracherkennung, große Modelle, Sprachsynthese und andere Plattformen), mit denen sie sich verbindet, und bietet keine Garantie für deren Servicequalität oder finanzielle Sicherheit. Es wird empfohlen, dass Benutzer Dienstleister mit entsprechenden Geschäftslizenzen bevorzugen und deren Servicevereinbarungen und Datenschutzrichtlinien sorgfältig lesen. Diese Software hostet keine Kontoschlüssel, nimmt nicht an Geldströmen teil und trägt nicht das Risiko von Verlusten bei Guthaben-Aufladungen.
+
+2. Die Funktionalität dieses Projekts ist nicht vollständig und hat keine Netzwerksicherheitsbewertung bestanden. Bitte verwenden Sie es nicht in Produktionsumgebungen. Wenn Sie dieses Projekt zu Lernzwecken in einer öffentlichen Netzwerkumgebung bereitstellen, stellen Sie bitte sicher, dass notwendige Schutzmaßnahmen vorhanden sind.
+
+---
+
+## Deployment-Dokumentation
+
+![Banners](docs/images/banner2.png)
+
+Dieses Projekt bietet zwei Bereitstellungsmethoden. Bitte wählen Sie basierend auf Ihren spezifischen Anforderungen:
+
+#### 🚀 Auswahl der Bereitstellungsmethode
+| Bereitstellungsmethode | Funktionen | Anwendungsszenarien | Deployment-Dokumente | Konfigurationsanforderungen | Video-Tutorials |
+|---------|------|---------|---------|---------|---------|
+| **Vereinfachte Installation** | Intelligenter Dialog, IOT, MCP, visuelle Wahrnehmung | Umgebungen mit geringer Konfiguration, Daten in Konfigurationsdateien gespeichert, keine Datenbank erforderlich | [①Docker-Version](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②Quellcode-Deployment](./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)| 2 Kerne 4GB bei Verwendung von `FunASR`, 2 Kerne 2GB bei allen APIs | - |
+| **Vollständige Modulinstallation** | Intelligenter Dialog, IOT, MCP-Endpunkte, Stimmabdruckerkennung, visuelle Wahrnehmung, OTA, intelligente Steuerkonsole | Vollständige Funktionserfahrung, Daten in Datenbank gespeichert |[①Docker-Version](./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) / [②Quellcode-Deployment](./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) / [③Quellcode-Deployment Auto-Update-Tutorial](./docs/dev-ops-integration.md) | 4 Kerne 8GB bei Verwendung von `FunASR`, 2 Kerne 4GB bei allen APIs| [Video-Tutorial für lokalen Quellcode-Start](https://www.bilibili.com/video/BV1wBJhz4Ewe) |
+
+Häufige Fragen und entsprechende Tutorials finden Sie unter [diesem Link](./docs/FAQ.md)
+
+> 💡 Hinweis: Unten ist eine Testplattform, die mit dem neuesten Code bereitgestellt wurde. Sie können bei Bedarf brennen und testen. Gleichzeitige Benutzer: 6, Daten werden täglich gelöscht.
+
+```
+Adresse der intelligenten Steuerkonsole: https://2662r3426b.vicp.fun
+Adresse der intelligenten Steuerkonsole (H5): https://2662r3426b.vicp.fun/h5/index.html
+
+Service-Testtool: https://2662r3426b.vicp.fun/test/
+OTA-Schnittstellenadresse: https://2662r3426b.vicp.fun/xiaozhi/ota/
+Websocket-Schnittstellenadresse: wss://2662r3426b.vicp.fun/xiaozhi/v1/
+```
+
+#### 🚩 Konfigurationsbeschreibung und Empfehlungen
+> [!Note]
+> Dieses Projekt bietet zwei Konfigurationsschemata:
+>
+> 1. `Einstiegslevel Kostenlose Einstellungen`: Geeignet für den persönlichen und privaten Gebrauch, alle Komponenten verwenden kostenlose Lösungen, keine zusätzliche Zahlung erforderlich.
+>
+> 2. `Streaming-Konfiguration`: Geeignet für Demonstrationen, Schulungen, Szenarien mit mehr als 2 gleichzeitigen Benutzern usw. Verwendet Streaming-Verarbeitungstechnologie für schnellere Reaktionsgeschwindigkeit und bessere Erfahrung.
+>
+> Ab Version `0.5.2` unterstützt das Projekt Streaming-Konfiguration. Im Vergleich zu früheren Versionen ist die Reaktionsgeschwindigkeit um ca. `2,5 Sekunden` verbessert, was die Benutzererfahrung erheblich verbessert.
+
+| Modulname | Einstiegslevel Kostenlose Einstellungen | Streaming-Konfiguration |
+|:---:|:---:|:---:|
+| ASR (Spracherkennung) | FunASR (Lokal) | 👍FunASR (Lokaler GPU-Modus) |
+| LLM (Großes Modell) | ChatGLMLLM (Zhipu glm-4-flash) | 👍AliLLM (qwen3-235b-a22b-instruct-2507) oder 👍DoubaoLLM (doubao-1-5-pro-32k-250115) |
+| VLLM (Vision Large Model) | ChatGLMVLLM (Zhipu glm-4v-flash) | 👍QwenVLVLLM (Qwen qwen2.5-vl-3b-instructh) |
+| TTS (Sprachsynthese) | ✅LinkeraiTTS (Lingxi-Streaming) | 👍HuoshanDoubleStreamTTS (Volcano Dual-Stream-Sprachsynthese) oder 👍AliyunStreamTTS (Alibaba Cloud Streaming-Sprachsynthese) |
+| Intent (Absichtserkennung) | function_call (Funktionsaufruf) | function_call (Funktionsaufruf) |
+| Memory (Gedächtnisfunktion) | mem_local_short (Lokales Kurzzeitgedächtnis) | mem_local_short (Lokales Kurzzeitgedächtnis) |
+
+Wenn Sie sich um die Latenz jeder Komponente kümmern, lesen Sie bitte den [Xiaozhi-Komponenten-Leistungstestbericht](https://github.com/xinnan-tech/xiaozhi-performance-research). Sie können gemäß den Testmethoden im Bericht in Ihrer Umgebung tatsächlich testen.
+
+#### 🔧 Testwerkzeuge
+Dieses Projekt bietet die folgenden Testwerkzeuge, um Ihnen bei der Überprüfung des Systems und der Auswahl geeigneter Modelle zu helfen:
+
+| Werkzeugname | Standort | Verwendungsmethode | Funktionsbeschreibung |
+|:---:|:---|:---:|:---:|
+| Audio-Interaktionstesttool | main》xiaozhi-server》test》test_page.html | Direkt mit Google Chrome öffnen | Testet Audio-Wiedergabe- und Empfangsfunktionen, überprüft, ob die Python-seitige Audioverarbeitung normal ist |
+| Modell-Reaktionstesttool | main》xiaozhi-server》performance_tester.py | Ausführen `python performance_tester.py` | Testet die Reaktionsgeschwindigkeit von ASR (Spracherkennung), LLM (großes Modell), VLLM (Vision-Modell), TTS (Sprachsynthese) drei Kernmodulen |
+
+> 💡 Hinweis: Beim Testen der Modellgeschwindigkeit werden nur Modelle mit konfigurierten Schlüsseln getestet.
+
+---
+## Funktionsliste ✨
+### Implementiert ✅
+![请参考-全模块安装架构图](docs/images/deploy2.png)
+| Funktionsmodul | Beschreibung |
+|:---:|:---|
+| Kernarchitektur | Basierend auf [MQTT+UDP-Gateway](https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/mqtt-gateway-integration.md), WebSocket und HTTP-Servern, bietet vollständiges Konsolenverwaltungs- und Authentifizierungssystem |
+| Sprachinteraktion | Unterstützt Streaming-ASR (Spracherkennung), Streaming-TTS (Sprachsynthese), VAD (Sprachaktivitätserkennung), unterstützt mehrsprachige Erkennung und Sprachverarbeitung |
+| Stimmabdruckerkennung | Unterstützt Mehrbenutzer-Stimmabdruckregistrierung, -verwaltung und -erkennung, verarbeitet parallel mit ASR, Echtzeit-Sprecheridentitätserkennung und Weitergabe an LLM für personalisierte Antworten |
+| Intelligenter Dialog | Unterstützt mehrere LLM (große Sprachmodelle), implementiert intelligenten Dialog |
+| Visuelle Wahrnehmung | Unterstützt mehrere VLLM (Vision Large Models), implementiert multimodale Interaktion |
+| Absichtserkennung | Unterstützt LLM-Absichtserkennung, Function Call-Funktionsaufruf, bietet plugin-basierten Absichtsverarbeitungsmechanismus |
+| Gedächtnissystem | Unterstützt lokales Kurzzeitgedächtnis, mem0ai-Schnittstellengedächtnis, mit Gedächtniszusammenfassungsfunktion |
+| Wissensdatenbank | Unterstützt RAGFlow-Wissensdatenbank, ermöglicht großem Modell die Bewertung, ob Wissensdatenbank benötigt wird, bevor geantwortet wird |
+| Werkzeugaufruf | Unterstützt Client-IOT-Protokoll, Client-MCP-Protokoll, Server-MCP-Protokoll, MCP-Endpunktprotokoll, benutzerdefinierte Werkzeugfunktionen |
+| Befehlsübermittlung | Basierend auf MQTT-Protokoll, unterstützt die Übermittlung von MCP-Befehlen von der intelligenten Steuerkonsole an ESP32-Geräte |
+| Verwaltungs-Backend | Bietet Web-Verwaltungsoberfläche, unterstützt Benutzerverwaltung, Systemkonfiguration und Geräteverwaltung; Oberfläche unterstützt vereinfachtes Chinesisch, traditionelles Chinesisch und englische Anzeige |
+| Testwerkzeuge | Bietet Leistungstestwerkzeuge, Vision-Modell-Testwerkzeuge und Audio-Interaktionstestwerkzeuge |
+| Deployment-Unterstützung | Unterstützt Docker-Deployment und lokales Deployment, bietet vollständige Konfigurationsdateiverwaltung |
+| Plugin-System | Unterstützt funktionale Plugin-Erweiterungen, benutzerdefinierte Plugin-Entwicklung und Plugin-Hot-Loading |
+
+### In Entwicklung 🚧
+
+Um über spezifische Entwicklungsplanfortschritte zu erfahren, [klicken Sie hier](https://github.com/users/xinnan-tech/projects/3). Häufige Fragen und entsprechende Tutorials finden Sie unter [diesem Link](./docs/FAQ.md)
+
+Wenn Sie ein Softwareentwickler sind, finden Sie hier einen [Offenen Brief an Entwickler](docs/contributor_open_letter.md). Willkommen beim Beitritt!
+
+---
+
+## Produktökosystem 👬
+Xiaozhi ist ein Ökosystem. Wenn Sie dieses Produkt verwenden, können Sie sich auch andere [hervorragende Projekte](https://github.com/78/xiaozhi-esp32?tab=readme-ov-file#%E7%9B%B8%E5%85%B3%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE) in diesem Ökosystem ansehen
+
+---
+
+## Liste der von diesem Projekt unterstützten Plattformen/Komponenten 📋
+### LLM-Sprachmodelle
+
+| Verwendungsmethode | Unterstützte Plattformen | Kostenlose Plattformen |
+|:---:|:---:|:---:|
+| OpenAI-Schnittstellenaufrufe | Alibaba Bailian, Volcano Engine Doubao, DeepSeek, Zhipu ChatGLM, Gemini | Zhipu ChatGLM, Gemini |
+| Ollama-Schnittstellenaufrufe | Ollama | - |
+| Dify-Schnittstellenaufrufe | Dify | - |
+| FastGPT-Schnittstellenaufrufe | FastGPT | - |
+| Coze-Schnittstellenaufrufe | Coze | - |
+| Xinference-Schnittstellenaufrufe | Xinference | - |
+| HomeAssistant-Schnittstellenaufrufe | HomeAssistant | - |
+
+Tatsächlich kann jedes LLM, das OpenAI-Schnittstellenaufrufe unterstützt, integriert und verwendet werden.
+
+---
+
+### VLLM-Vision-Modelle
+
+| Verwendungsmethode | Unterstützte Plattformen | Kostenlose Plattformen |
+|:---:|:---:|:---:|
+| OpenAI-Schnittstellenaufrufe | Alibaba Bailian, Zhipu ChatGLMVLLM | Zhipu ChatGLMVLLM |
+
+Tatsächlich kann jedes VLLM, das OpenAI-Schnittstellenaufrufe unterstützt, integriert und verwendet werden.
+
+---
+
+### TTS-Sprachsynthese
+
+| Verwendungsmethode | Unterstützte Plattformen | Kostenlose Plattformen |
+|:---:|:---:|:---:|
+| Schnittstellenaufrufe | EdgeTTS, Volcano Engine Doubao TTS, Tencent Cloud, Alibaba Cloud TTS, AliYun Stream TTS, CosyVoiceSiliconflow, TTS302AI, CozeCnTTS, GizwitsTTS, ACGNTTS, OpenAITTS, Lingxi Streaming TTS, MinimaxTTS, Volcano Dual-Stream TTS | Lingxi Streaming TTS, EdgeTTS, CosyVoiceSiliconflow (teilweise) |
+| Lokale Dienste | FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3, Index-TTS, PaddleSpeech | Index-TTS, PaddleSpeech, FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3 |
+
+---
+
+### VAD-Sprachaktivitätserkennung
+
+| Typ | Plattformname | Verwendungsmethode | Preismodell | Hinweise |
+|:---:|:---------:|:----:|:----:|:--:|
+| VAD | SileroVAD | Lokale Verwendung | Kostenlos | |
+
+---
+
+### ASR-Spracherkennung
+
+| Verwendungsmethode | Unterstützte Plattformen | Kostenlose Plattformen |
+|:---:|:---:|:---:|
+| Lokale Verwendung | FunASR, SherpaASR | FunASR, SherpaASR |
+| Schnittstellenaufrufe | DoubaoASR, Doubao Streaming ASR, FunASRServer, TencentASR, AliyunASR, Aliyun Streaming ASR, Baidu ASR, OpenAI ASR | FunASRServer |
+
+---
+
+### Voiceprint-Stimmabdruckerkennung
+
+| Verwendungsmethode | Unterstützte Plattformen | Kostenlose Plattformen |
+|:---:|:---:|:---:|
+| Lokale Verwendung | 3D-Speaker | 3D-Speaker |
+
+---
+
+### Memory-Gedächtnisspeicher
+
+| Typ | Plattformname | Verwendungsmethode | Preismodell | Hinweise |
+|:------:|:---------------:|:----:|:---------:|:--:|
+| Memory | mem0ai | Schnittstellenaufrufe | 1000 Mal/Monat Kontingent | |
+| Memory | mem_local_short | Lokale Zusammenfassung | Kostenlos | |
+| Memory | nomem | Kein Gedächtnismodus | Kostenlos | |
+
+---
+
+### Intent-Absichtserkennung
+
+| Typ | Plattformname | Verwendungsmethode | Preismodell | Hinweise |
+|:------:|:-------------:|:----:|:-------:|:---------------------:|
+| Intent | intent_llm | Schnittstellenaufrufe | Basierend auf LLM-Preisen | Erkennt Absicht durch große Modelle, starke Allgemeingültigkeit |
+| Intent | function_call | Schnittstellenaufrufe | Basierend auf LLM-Preisen | Vervollständigt Absicht durch Funktionsaufruf großer Modelle, schnelle Geschwindigkeit, guter Effekt |
+| Intent | nointent | Kein Absichtsmodus | Kostenlos | Führt keine Absichtserkennung durch, gibt direkt Dialogergebnis zurück |
+
+---
+
+### Rag Retrieval Augmented Generation
+
+| Typ | Plattformname | Verwendungsmethode | Preismodell | Hinweise |
+|:------:|:-------------:|:----:|:-------:|:---------------------:|
+| Rag | ragflow | Schnittstellenaufrufe | Gebühren basierend auf Token-Verbrauch für Segmentierung und Tokenisierung | Nutzt RAGFlow's Retrieval-Augmented-Generation-Funktion für präzisere Dialogantworten |
+
+---
+
+## Danksagungen 🙏
+
+| Logo | Projekt/Unternehmen | Beschreibung |
+|:---:|:---:|:---|
+| <img src="./docs/images/logo_bailing.png" width="160"> | [Bailing Voice Dialogue Robot](https://github.com/wwbin2017/bailing) | Dieses Projekt wurde von [Bailing Voice Dialogue Robot](https://github.com/wwbin2017/bailing) inspiriert und auf dessen Basis implementiert |
+| <img src="./docs/images/logo_tenclass.png" width="160"> | [Tenclass](https://www.tenclass.com/) | Dank an [Tenclass](https://www.tenclass.com/) für die Formulierung von Standardkommunikationsprotokollen, Multi-Geräte-Kompatibilitätslösungen und High-Concurrency-Szenario-Praxisdemonstrationen für das Xiaozhi-Ökosystem; für die Bereitstellung vollständiger technischer Dokumentationsunterstützung für dieses Projekt |
+| <img src="./docs/images/logo_xuanfeng.png" width="160"> | [Xuanfeng Technology](https://github.com/Eric0308) | Dank an [Xuanfeng Technology](https://github.com/Eric0308) für den Beitrag des Funktionsaufruf-Frameworks, des MCP-Kommunikationsprotokolls und der plugin-basierten Aufrufmechanismus-Implementierungscode. Durch standardisiertes Befehlsplanungssystem und dynamische Erweiterungsfähigkeiten wird die Interaktionseffizienz und funktionale Erweiterbarkeit von Frontend-Geräten (IoT) erheblich verbessert |
+| <img src="./docs/images/logo_junsen.png" width="160"> | [huangjunsen](https://github.com/huangjunsen0406) | Dank an [huangjunsen](https://github.com/huangjunsen0406) für den Beitrag des `Smart Control Console Mobile`-Moduls, das eine effiziente Steuerung und Echtzeit-Interaktion über mobile Geräte ermöglicht und die Betriebsbequemlichkeit und Verwaltungseffizienz des Systems in mobilen Szenarien erheblich verbessert |
+| <img src="./docs/images/logo_huiyuan.png" width="160"> | [Huiyuan Design](http://ui.kwd988.net/) | Dank an [Huiyuan Design](http://ui.kwd988.net/) für die Bereitstellung professioneller visueller Lösungen für dieses Projekt, unter Verwendung ihrer Design-Praxiserfahrung im Dienst von über tausend Unternehmen, um die Produktbenutzererfahrung dieses Projekts zu stärken |
+| <img src="./docs/images/logo_qinren.png" width="160"> | [Xi'an Qinren Information Technology](https://www.029app.com/) | Dank an [Xi'an Qinren Information Technology](https://www.029app.com/) für die Vertiefung des visuellen Systems dieses Projekts und die Sicherstellung der Konsistenz und Erweiterbarkeit des Gesamtdesignstils in Multi-Szenario-Anwendungen |
+| <img src="./docs/images/logo_contributors.png" width="160"> | [Code-Mitwirkende](https://github.com/xinnan-tech/xiaozhi-esp32-server/graphs/contributors) | Dank an [alle Code-Mitwirkenden](https://github.com/xinnan-tech/xiaozhi-esp32-server/graphs/contributors), Ihre Bemühungen haben das Projekt robuster und leistungsfähiger gemacht. |
+
+
+<a href="https://star-history.com/#xinnan-tech/xiaozhi-esp32-server&Date">
+
+ <picture>
+   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=xinnan-tech/xiaozhi-esp32-server&type=Date&theme=dark" />
+   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=xinnan-tech/xiaozhi-esp32-server&type=Date" />
+   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=xinnan-tech/xiaozhi-esp32-server&type=Date" />
+ </picture>
+</a>
@@ -6,29 +6,24 @@
 This project is based on human-machine symbiotic intelligence theory and technology to develop intelligent terminal hardware and software systems<br/>providing backend services for the open-source intelligent hardware project
 <a href="https://github.com/78/xiaozhi-esp32">xiaozhi-esp32</a><br/>
 Implemented using Python, Java, and Vue according to the <a href="https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh">Xiaozhi Communication Protocol</a><br/>
-Supports MCP endpoints and voiceprint recognition
+Support for MQTT+UDP protocol, Websocket protocol, MCP access point, voiceprint recognition, and knowledge base
 </p>

 <p align="center">
-<a href="./README.md">中文</a>
-· <a href="./docs/FAQ.md">FAQ</a>
+<a href="./docs/FAQ.md">FAQ</a>
 · <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/issues">Report Issues</a>
 · <a href="./README.md#%E9%83%A8%E7%BD%B2%E6%96%87%E6%A1%A3">Deployment Docs</a>
 · <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">Release Notes</a>
 </p>
+
 <p align="center">
+  <a href="./README.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
+  <a href="./README_en.md"><img alt="README in English" src="https://img.shields.io/badge/English-DBEDFA"></a>
+  <a href="./README_vi.md"><img alt="Tiếng Việt" src="https://img.shields.io/badge/Tiếng Việt-DFE0E5"></a>
+  <a href="./README_de.md"><img alt="Deutsch" src="https://img.shields.io/badge/Deutsch-DFE0E5"></a>
  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">
    <img alt="GitHub Contributors" src="https://img.shields.io/github/v/release/xinnan-tech/xiaozhi-esp32-server?logo=docker" />
  </a>
-  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/graphs/contributors">
-    <img alt="GitHub Contributors" src="https://img.shields.io/github/contributors/xinnan-tech/xiaozhi-esp32-server?logo=github" />
-  </a>
-  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/issues">
-    <img alt="Issues" src="https://img.shields.io/github/issues/xinnan-tech/xiaozhi-esp32-server?color=0088ff" />
-  </a>
-  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/pulls">
-    <img alt="GitHub pull requests" src="https://img.shields.io/github/issues-pr/xinnan-tech/xiaozhi-esp32-server?color=0088ff" />
-  </a>
  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/LICENSE">
    <img alt="GitHub pull requests" src="https://img.shields.io/badge/license-MIT-white?labelColor=black" />
  </a>
@@ -58,72 +53,72 @@ Want to see the usage effects? Click the videos below 🎥
    <td>
        <a href="https://www.bilibili.com/video/BV1FMFyejExX" target="_blank">
         <picture>
-           <img alt="Xiaozhi ESP32 connecting to own backend model" src="docs/images/demo1.png" />
+           <img alt="响应速度感受" src="docs/images/demo9.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1vchQzaEse" target="_blank">
+         <picture>
+           <img alt="速度优化秘诀" src="docs/images/demo6.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1C1tCzUEZh" target="_blank">
+         <picture>
+           <img alt="复杂医疗场景" src="docs/images/demo1.png" />
         </picture>
        </a>
    </td>
    <td>
        <a href="https://www.bilibili.com/video/BV1zUW5zJEkq" target="_blank">
         <picture>
-           <img alt="MQTT command issuance" src="docs/images/demo4.png" />
+           <img alt="MQTT指令下发" src="docs/images/demo4.png" />
         </picture>
        </a>
    </td>
    <td>
-        <a href="https://www.bilibili.com/video/BV1CDKWemEU6" target="_blank">
+        <a href="https://www.bilibili.com/video/BV1Exu3zqEDe" target="_blank">
         <picture>
-           <img alt="Custom voice timbre" src="docs/images/demo2.png" />
-         </picture>
-        </a>
-    </td>
-    <td>
-        <a href="https://www.bilibili.com/video/BV12yA2egEaC" target="_blank">
-         <picture>
-           <img alt="Using Cantonese for communication" src="docs/images/demo3.png" />
-         </picture>
-        </a>
-    </td>
-    <td>
-        <a href="https://www.bilibili.com/video/BV1pNXWYGEx1" target="_blank">
-         <picture>
-           <img alt="Controlling home appliances" src="docs/images/demo5.png" />
+           <img alt="声纹识别" src="docs/images/demo14.png" />
         </picture>
        </a>
    </td>
  </tr>
  <tr>
    <td>
-        <a href="https://www.bilibili.com/video/BV1vchQzaEse" target="_blank">
+        <a href="https://www.bilibili.com/video/BV1pNXWYGEx1" target="_blank">
         <picture>
-           <img alt="Custom voice timbre" src="docs/images/demo6.png" />
+           <img alt="控制家电开关" src="docs/images/demo5.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1ZQKUzYExM" target="_blank">
+         <picture>
+           <img alt="MCP接入点" src="docs/images/demo13.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+      <a href="https://www.bilibili.com/video/BV1TJ7WzzEo6" target="_blank">
+         <picture>
+           <img alt="多指令任务" src="docs/images/demo11.png" />
         </picture>
        </a>
    </td>
    <td>
        <a href="https://www.bilibili.com/video/BV1VC96Y5EMH" target="_blank">
         <picture>
-           <img alt="Playing music" src="docs/images/demo7.png" />
+           <img alt="播放音乐" src="docs/images/demo7.png" />
         </picture>
        </a>
    </td>
    <td>
        <a href="https://www.bilibili.com/video/BV1Z8XuYZEAS" target="_blank">
         <picture>
-           <img alt="Weather plugin" src="docs/images/demo8.png" />
-         </picture>
-        </a>
-    </td>
-    <td>
-        <a href="https://www.bilibili.com/video/BV178XuYfEpi" target="_blank">
-         <picture>
-           <img alt="IOT command control devices" src="docs/images/demo9.png" />
-         </picture>
-        </a>
-    </td>
-    <td>
-        <a href="https://www.bilibili.com/video/BV17LXWYvENb" target="_blank">
-         <picture>
-           <img alt="News broadcasting" src="docs/images/demo0.png" />
+           <img alt="天气插件" src="docs/images/demo8.png" />
         </picture>
        </a>
    </td>
@@ -132,35 +127,35 @@ Want to see the usage effects? Click the videos below 🎥
    <td>
      <a href="https://www.bilibili.com/video/BV12J7WzBEaH" target="_blank">
         <picture>
-           <img alt="Real-time interruption" src="docs/images/demo10.png" />
+           <img alt="实时打断" src="docs/images/demo10.png" />
         </picture>
        </a>
    </td>
    <td>
      <a href="https://www.bilibili.com/video/BV1Co76z7EvK" target="_blank">
         <picture>
-           <img alt="Photo recognition of objects" src="docs/images/demo12.png" />
+           <img alt="拍照识物品" src="docs/images/demo12.png" />
         </picture>
        </a>
    </td>
    <td>
-      <a href="https://www.bilibili.com/video/BV1TJ7WzzEo6" target="_blank">
+        <a href="https://www.bilibili.com/video/BV1CDKWemEU6" target="_blank">
         <picture>
-           <img alt="Multi-command tasks" src="docs/images/demo11.png" />
+           <img alt="自定义音色" src="docs/images/demo2.png" />
         </picture>
        </a>
    </td>
    <td>
-        <a href="https://www.bilibili.com/video/BV1ZQKUzYExM" target="_blank">
+        <a href="https://www.bilibili.com/video/BV12yA2egEaC" target="_blank">
         <picture>
-           <img alt="MCP endpoint" src="docs/images/demo13.png" />
+           <img alt="使用粤语交流" src="docs/images/demo3.png" />
         </picture>
        </a>
    </td>
    <td>
-        <a href="https://www.bilibili.com/video/BV1Exu3zqEDe" target="_blank">
+        <a href="https://www.bilibili.com/video/BV17LXWYvENb" target="_blank">
         <picture>
-           <img alt="Voiceprint recognition" src="docs/images/demo14.png" />
+           <img alt="播报新闻" src="docs/images/demo0.png" />
         </picture>
        </a>
    </td>
@@ -244,6 +239,7 @@ This project provides the following testing tools to help you verify the system
 | Visual Perception | Supports multiple VLLM(vision large models), implements multimodal interaction |
 | Intent Recognition | Supports LLM intent recognition, Function Call function calling, provides plugin-based intent processing mechanism |
 | Memory System | Supports local short-term memory, mem0ai interface memory, with memory summarization functionality |
+| Knowledge Base | Supports RAGFlow knowledge base, enabling LLM to judge whether to schedule the knowledge base after receiving the user's question, and then answer the question |
 | Command Delivery | Supports MCP command delivery to ESP32 devices via MQTT protocol from Smart Console |
 | Tool Calling | Supports client IOT protocol, client MCP protocol, server MCP protocol, MCP endpoint protocol, custom tool functions |
 | Management Backend | Provides Web management interface, supports user management, system configuration and device management; Supports Simplified Chinese, Traditional Chinese and English display |
@@ -275,7 +271,7 @@ Xiaozhi is an ecosystem. When using this product, you can also check out other [

 | Usage Method | Supported Platforms | Free Platforms |
 |:---:|:---:|:---:|
-| OpenAI interface calls | Alibaba Bailian, Volcano Engine Doubao, DeepSeek, Zhipu ChatGLM, Gemini | Zhipu ChatGLM, Gemini |
+| OpenAI interface calls | Alibaba Bailian, Volcano Engine, DeepSeek, Zhipu, Gemini, iFLYTEK | Zhipu, Gemini |
 | Ollama interface calls | Ollama | - |
 | Dify interface calls | Dify | - |
 | FastGPT interface calls | FastGPT | - |
@@ -299,7 +295,7 @@ In fact, any VLLM that supports OpenAI interface calls can be integrated and use

 | Usage Method | Supported Platforms | Free Platforms |
 |:---:|:---:|:---:|
-| Interface calls | EdgeTTS, Volcano Engine Doubao TTS, Tencent Cloud, Alibaba Cloud TTS, AliYun Stream TTS, CosyVoiceSiliconflow, TTS302AI, CozeCnTTS, GizwitsTTS, ACGNTTS, OpenAITTS, Lingxi Streaming TTS, MinimaxTTS | Lingxi Streaming TTS, EdgeTTS, CosyVoiceSiliconflow(partial) |
+| Interface calls | EdgeTTS, iFLYTEK, Volcano Engine, Tencent Cloud, Alibaba Cloud and Bailian, CosyVoiceSiliconflow, TTS302AI, CozeCnTTS, GizwitsTTS, ACGNTTS, OpenAITTS, Lingxi Streaming TTS, MinimaxTTS | Lingxi Streaming TTS, EdgeTTS, CosyVoiceSiliconflow(partial) |
 | Local services | FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3, MinimaxTTS | FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3, MinimaxTTS |

 ---
@@ -317,7 +313,7 @@ In fact, any VLLM that supports OpenAI interface calls can be integrated and use
 | Usage Method | Supported Platforms | Free Platforms |
 |:---:|:---:|:---:|
 | Local use | FunASR, SherpaASR | FunASR, SherpaASR |
-| Interface calls | DoubaoASR, FunASRServer, TencentASR, AliyunASR | FunASRServer |
+| Interface calls | FunASRServer, Volcano Engine, iFLYTEK, Tencent Cloud, Alibaba Cloud, Baidu Cloud, OpenAI ASR | FunASRServer |

 ---

@@ -347,6 +343,14 @@ In fact, any VLLM that supports OpenAI interface calls can be integrated and use

 ---

+### Rag Retrieval-Augmented Generation
+
+| Type | Platform Name | Usage Method | Pricing Model | Notes |
+|:------:|:-------------:|:----:|:-------:|:---------------------:|
+| Rag | ragflow | Interface calls | Charged based on tokens consumed for slicing and word segmentation | Utilizes RagFlow's retrieval-augmented generation feature to provide more accurate dialog responses |
+
+---
+
 ## Acknowledgments 🙏

 | Logo | Project/Company | Description |
@@ -0,0 +1,375 @@
+[![Banners](docs/images/banner1.png)](https://github.com/xinnan-tech/xiaozhi-esp32-server)
+
+<h1 align="center">Dịch vụ Backend Xiaozhi xiaozhi-esp32-server</h1>
+
+<p align="center">
+Dự án này dựa trên lý thuyết và công nghệ trí tuệ cộng sinh người-máy để phát triển hệ thống phần mềm và phần cứng thiết bị đầu cuối thông minh<br/>Cung cấp dịch vụ backend cho dự án phần cứng thông minh mã nguồn mở
+<a href="https://github.com/78/xiaozhi-esp32">xiaozhi-esp32</a><br/>
+Được triển khai bằng Python, Java, Vue theo <a href="https://ccnphfhqs21z.feishu.cn/wiki/M0XiwldO9iJwHikpXD5cEx71nKh">giao thức truyền thông Xiaozhi</a><br/>
+Hỗ trợ giao thức MQTT+UDP, giao thức Websocket, điểm truy cập MCP, nhận dạng giọng nói và kho tri thức
+</p>
+
+<p align="center">
+<a href="./docs/FAQ.md">Câu hỏi thường gặp</a>
+· <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/issues">Báo cáo vấn đề</a>
+· <a href="./README.md#%E9%83%A8%E7%BD%B2%E6%96%87%E6%A1%A3">Tài liệu triển khai</a>
+· <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">Nhật ký cập nhật</a>
+</p>
+
+<p align="center">
+  <a href="./README.md"><img alt="简体中文版自述文件" src="https://img.shields.io/badge/简体中文-DFE0E5"></a>
+  <a href="./README_en.md"><img alt="README in English" src="https://img.shields.io/badge/English-DFE0E5"></a>
+  <a href="./README_vi.md"><img alt="Tiếng Việt" src="https://img.shields.io/badge/Tiếng Việt-DBEDFA"></a>
+  <a href="./README_de.md"><img alt="Deutsch" src="https://img.shields.io/badge/Deutsch-DFE0E5"></a>
+  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/releases">
+    <img alt="GitHub Contributors" src="https://img.shields.io/github/v/release/xinnan-tech/xiaozhi-esp32-server?logo=docker" />
+  </a>
+  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/LICENSE">
+    <img alt="GitHub pull requests" src="https://img.shields.io/badge/license-MIT-white?labelColor=black" />
+  </a>
+  <a href="https://github.com/xinnan-tech/xiaozhi-esp32-server">
+    <img alt="stars" src="https://img.shields.io/github/stars/xinnan-tech/xiaozhi-esp32-server?color=ffcb47&labelColor=black" />
+  </a>
+</p>
+
+<p align="center">
+Spearheaded by Professor Siyuan Liu's Team (South China University of Technology)
+</br>
+Được dẫn dắt bởi nhóm Giáo sư Lưu Tư Nguyên (Đại học Bách khoa Nam Trung Quốc)
+</br>
+<img src="./docs/images/hnlg.jpg" alt="华南理工大学" width="50%">
+</p>
+
+---
+
+## Người dùng phù hợp 👥
+
+Dự án này cần được sử dụng cùng với thiết bị phần cứng ESP32. Nếu bạn đã mua phần cứng liên quan đến ESP32, đã thành công kết nối với dịch vụ backend do anh Xia triển khai, và muốn xây dựng dịch vụ backend `xiaozhi-esp32` riêng của mình, thì dự án này rất phù hợp với bạn.
+
+Muốn xem hiệu quả sử dụng? Hãy xem video 🎥
+
+<table>
+  <tr>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1FMFyejExX" target="_blank">
+         <picture>
+           <img alt="响应速度感受" src="docs/images/demo9.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1vchQzaEse" target="_blank">
+         <picture>
+           <img alt="速度优化秘诀" src="docs/images/demo6.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1C1tCzUEZh" target="_blank">
+         <picture>
+           <img alt="复杂医疗场景" src="docs/images/demo1.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1zUW5zJEkq" target="_blank">
+         <picture>
+           <img alt="MQTT指令下发" src="docs/images/demo4.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1Exu3zqEDe" target="_blank">
+         <picture>
+           <img alt="声纹识别" src="docs/images/demo14.png" />
+         </picture>
+        </a>
+    </td>
+  </tr>
+  <tr>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1pNXWYGEx1" target="_blank">
+         <picture>
+           <img alt="控制家电开关" src="docs/images/demo5.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1ZQKUzYExM" target="_blank">
+         <picture>
+           <img alt="MCP接入点" src="docs/images/demo13.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+      <a href="https://www.bilibili.com/video/BV1TJ7WzzEo6" target="_blank">
+         <picture>
+           <img alt="多指令任务" src="docs/images/demo11.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1VC96Y5EMH" target="_blank">
+         <picture>
+           <img alt="播放音乐" src="docs/images/demo7.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1Z8XuYZEAS" target="_blank">
+         <picture>
+           <img alt="天气插件" src="docs/images/demo8.png" />
+         </picture>
+        </a>
+    </td>
+  </tr>
+  <tr>
+    <td>
+      <a href="https://www.bilibili.com/video/BV12J7WzBEaH" target="_blank">
+         <picture>
+           <img alt="实时打断" src="docs/images/demo10.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+      <a href="https://www.bilibili.com/video/BV1Co76z7EvK" target="_blank">
+         <picture>
+           <img alt="拍照识物品" src="docs/images/demo12.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV1CDKWemEU6" target="_blank">
+         <picture>
+           <img alt="自定义音色" src="docs/images/demo2.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV12yA2egEaC" target="_blank">
+         <picture>
+           <img alt="使用粤语交流" src="docs/images/demo3.png" />
+         </picture>
+        </a>
+    </td>
+    <td>
+        <a href="https://www.bilibili.com/video/BV17LXWYvENb" target="_blank">
+         <picture>
+           <img alt="播报新闻" src="docs/images/demo0.png" />
+         </picture>
+        </a>
+    </td>
+  </tr>
+</table>
+
+---
+
+## Cảnh báo ⚠️
+
+1. Dự án này là phần mềm mã nguồn mở, phần mềm này không có quan hệ hợp tác thương mại với bất kỳ nhà cung cấp dịch vụ API bên thứ ba nào (bao gồm nhưng không giới hạn ở các nền tảng nhận dạng giọng nói, mô hình lớn, tổng hợp giọng nói, v.v.), và không đảm bảo chất lượng dịch vụ cũng như an toàn tài chính của họ.
+Khuyến nghị người dùng ưu tiên lựa chọn nhà cung cấp dịch vụ có giấy phép kinh doanh liên quan và đọc kỹ thỏa thuận dịch vụ và chính sách bảo mật của họ. Phần mềm này không lưu trữ bất kỳ khóa tài khoản nào, không tham gia vào luồng tiền và không chịu rủi ro mất tiền nạp.
+
+2. Chức năng của dự án này chưa hoàn thiện và chưa qua đánh giá bảo mật mạng, vui lòng không sử dụng trong môi trường sản xuất. Nếu bạn triển khai dự án này trong môi trường mạng công cộng để học tập, vui lòng thực hiện các biện pháp bảo vệ cần thiết.
+
+---
+
+## Tài liệu triển khai
+
+![Banners](docs/images/banner2.png)
+
+Dự án này cung cấp hai phương pháp triển khai, vui lòng chọn theo nhu cầu cụ thể của bạn:
+
+#### 🚀 Lựa chọn phương pháp triển khai
+| Phương pháp triển khai | Đặc điểm | Tình huống áp dụng | Tài liệu triển khai | Yêu cầu cấu hình | Video hướng dẫn |
+|---------|------|---------|---------|---------|---------|
+| **Cài đặt tối giản** | Đối thoại thông minh, IOT, MCP, cảm nhận thị giác | Môi trường cấu hình thấp, dữ liệu lưu trong tệp cấu hình, không cần cơ sở dữ liệu | [①Phiên bản Docker](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②Triển khai mã nguồn](./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)| 2 nhân 4GB nếu dùng `FunASR`, 2 nhân 2GB nếu toàn API | - |
+| **Cài đặt toàn bộ module** | Đối thoại thông minh, IOT, điểm truy cập MCP, nhận dạng giọng nói, cảm nhận thị giác, OTA, bảng điều khiển thông minh | Trải nghiệm đầy đủ tính năng, dữ liệu lưu trong cơ sở dữ liệu |[①Phiên bản Docker](./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) / [②Triển khai mã nguồn](./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) / [③Hướng dẫn tự động cập nhật triển khai mã nguồn](./docs/dev-ops-integration.md) | 4 nhân 8GB nếu dùng `FunASR`, 2 nhân 4GB nếu toàn API| [Video hướng dẫn khởi động mã nguồn cục bộ](https://www.bilibili.com/video/BV1wBJhz4Ewe) |
+
+Câu hỏi thường gặp và hướng dẫn liên quan, vui lòng tham khảo [liên kết này](./docs/FAQ.md)
+
+> 💡 Gợi ý: Dưới đây là nền tảng thử nghiệm được triển khai theo mã mới nhất, có thể flash để thử nghiệm nếu cần, đồng thời là 6, dữ liệu sẽ được xóa mỗi ngày,
+
+```
+Địa chỉ bảng điều khiển thông minh: https://2662r3426b.vicp.fun
+Bảng điều khiển thông minh (phiên bản h5): https://2662r3426b.vicp.fun/h5/index.html
+
+Công cụ kiểm tra dịch vụ: https://2662r3426b.vicp.fun/test/
+Địa chỉ giao diện OTA: https://2662r3426b.vicp.fun/xiaozhi/ota/
+Địa chỉ giao diện Websocket: wss://2662r3426b.vicp.fun/xiaozhi/v1/
+```
+
+#### 🚩 Mô tả và khuyến nghị cấu hình
+> [!Note]
+> Dự án này cung cấp hai phương án cấu hình:
+>
+> 1. Cấu hình `Miễn phí hoàn toàn cho người mới`: Phù hợp với sử dụng gia đình cá nhân, tất cả các thành phần đều sử dụng phương án miễn phí, không cần thanh toán thêm.
+>
+> 2. `Cấu hình streaming`: Phù hợp với demo, đào tạo, hơn 2 đồng thời, v.v., sử dụng công nghệ xử lý streaming, tốc độ phản hồi nhanh hơn, trải nghiệm tốt hơn.
+>
+> Từ phiên bản `0.5.2`, dự án hỗ trợ cấu hình streaming, so với phiên bản đầu, tốc độ phản hồi cải thiện khoảng `2.5 giây`, cải thiện đáng kể trải nghiệm người dùng.
+
+| Tên module | Cài đặt miễn phí cho người mới | Cấu hình streaming |
+|:---:|:---:|:---:|
+| ASR(Nhận dạng giọng nói) | FunASR(Local) | 👍FunASR(Chế độ GPU cục bộ) |
+| LLM(Mô hình lớn) | ChatGLMLLM(Zhipu glm-4-flash) | 👍AliLLM(qwen3-235b-a22b-instruct-2507) hoặc 👍DoubaoLLM(doubao-1-5-pro-32k-250115) |
+| VLLM(Mô hình lớn thị giác) | ChatGLMVLLM(Zhipu glm-4v-flash) | 👍QwenVLVLLM(Qwen qwen2.5-vl-3b-instructh) |
+| TTS(Tổng hợp giọng nói) | ✅LinkeraiTTS(Lingxi streaming) | 👍HuoshanDoubleStreamTTS(Tổng hợp giọng nói streaming kép Volcano) hoặc 👍AliyunStreamTTS(Tổng hợp giọng nói streaming Alibaba Cloud) |
+| Intent(Nhận dạng ý định) | function_call(Gọi hàm) | function_call(Gọi hàm) |
+| Memory(Chức năng bộ nhớ) | mem_local_short(Bộ nhớ ngắn hạn cục bộ) | mem_local_short(Bộ nhớ ngắn hạn cục bộ) |
+
+Nếu bạn quan tâm đến thời gian của từng thành phần, vui lòng xem [Báo cáo kiểm tra hiệu suất các thành phần Xiaozhi](https://github.com/xinnan-tech/xiaozhi-performance-research), có thể kiểm tra thực tế trong môi trường của bạn theo phương pháp kiểm tra trong báo cáo.
+
+#### 🔧 Công cụ kiểm tra
+Dự án này cung cấp các công cụ kiểm tra sau để giúp bạn xác minh hệ thống và chọn mô hình phù hợp:
+
+| Tên công cụ | Vị trí | Phương pháp sử dụng | Mô tả chức năng |
+|:---:|:---|:---:|:---:|
+| Công cụ kiểm tra tương tác âm thanh | main》xiaozhi-server》test》test_page.html | Mở trực tiếp bằng trình duyệt Google Chrome | Kiểm tra chức năng phát và nhận âm thanh, xác minh xử lý âm thanh phía Python có bình thường không |
+| Công cụ kiểm tra phản hồi mô hình | main》xiaozhi-server》performance_tester.py | Thực hiện `python performance_tester.py` | Kiểm tra tốc độ phản hồi của ba module cốt lõi ASR(Nhận dạng giọng nói), LLM(Mô hình lớn), VLLM(Mô hình thị giác), TTS(Tổng hợp giọng nói) |
+
+> 💡 Gợi ý: Khi kiểm tra tốc độ mô hình, chỉ kiểm tra các mô hình đã cấu hình khóa.
+
+---
+## Danh sách tính năng ✨
+### Đã thực hiện ✅
+![请参考-全模块安装架构图](docs/images/deploy2.png)
+| Module chức năng | Mô tả |
+|:---:|:---|
+| Kiến trúc cốt lõi | Dựa trên [cổng MQTT+UDP](https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/mqtt-gateway-integration.md), WebSocket, máy chủ HTTP, cung cấp hệ thống quản lý bảng điều khiển và xác thực hoàn chỉnh |
+| Tương tác giọng nói | Hỗ trợ ASR streaming(Nhận dạng giọng nói), TTS streaming(Tổng hợp giọng nói), VAD(Phát hiện hoạt động giọng nói), hỗ trợ nhận dạng đa ngôn ngữ và xử lý giọng nói |
+| Nhận dạng vân giọng | Hỗ trợ đăng ký, quản lý và nhận dạng vân giọng đa người dùng, xử lý song song với ASR, nhận dạng danh tính người nói theo thời gian thực và truyền cho LLM để phản hồi cá nhân hóa |
+| Đối thoại thông minh | Hỗ trợ nhiều LLM(Mô hình ngôn ngữ lớn), thực hiện đối thoại thông minh |
+| Cảm nhận thị giác | Hỗ trợ nhiều VLLM(Mô hình lớn thị giác), thực hiện tương tác đa phương thức |
+| Nhận dạng ý định | Hỗ trợ nhận dạng ý định mô hình lớn gắn ngoài, gọi hàm tự chủ mô hình lớn, cung cấp cơ chế xử lý ý định dạng plugin |
+| Hệ thống bộ nhớ | Hỗ trợ bộ nhớ ngắn hạn cục bộ, bộ nhớ giao diện mem0ai, có chức năng tóm tắt bộ nhớ |
+| Kho tri thức | Hỗ trợ kho tri thức RAGFlow, cho phép mô hình lớn đánh giá cần gọi kho tri thức trước khi trả lời |
+| Gọi công cụ | Hỗ trợ giao thức IOT phía client, giao thức MCP phía client, giao thức MCP phía server, giao thức điểm truy cập MCP, hàm công cụ tùy chỉnh |
+| Gửi lệnh | Dựa vào giao thức MQTT, hỗ trợ gửi lệnh MCP từ bảng điều khiển thông minh xuống thiết bị ESP32 |
+| Backend quản lý | Cung cấp giao diện quản lý Web, hỗ trợ quản lý người dùng, cấu hình hệ thống và quản lý thiết bị; giao diện hỗ trợ hiển thị tiếng Trung giản thể, tiếng Trung phồn thể, tiếng Anh |
+| Công cụ kiểm tra | Cung cấp công cụ kiểm tra hiệu suất, công cụ kiểm tra mô hình thị giác và công cụ kiểm tra tương tác âm thanh |
+| Hỗ trợ triển khai | Hỗ trợ triển khai Docker và triển khai cục bộ, cung cấp quản lý tệp cấu hình hoàn chỉnh |
+| Hệ thống plugin | Hỗ trợ mở rộng plugin chức năng, phát triển plugin tùy chỉnh và hot loading plugin |
+
+### Đang phát triển 🚧
+
+Muốn hiểu tiến độ kế hoạch phát triển cụ thể, [vui lòng nhấp vào đây](https://github.com/users/xinnan-tech/projects/3). Câu hỏi thường gặp và hướng dẫn liên quan, vui lòng tham khảo [liên kết này](./docs/FAQ.md)
+
+Nếu bạn là một nhà phát triển phần mềm, đây có một [Lá thư mở gửi các nhà phát triển](docs/contributor_open_letter.md), chào mừng tham gia!
+
+---
+
+## Hệ sinh thái sản phẩm 👬
+Xiaozhi là một hệ sinh thái, khi bạn sử dụng sản phẩm này, bạn cũng có thể xem các [dự án xuất sắc](https://github.com/78/xiaozhi-esp32?tab=readme-ov-file#%E7%9B%B8%E5%85%B3%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE) khác trong hệ sinh thái này
+
+---
+
+## Danh sách nền tảng/thành phần được dự án này hỗ trợ 📋
+### LLM Mô hình ngôn ngữ
+
+| Phương pháp sử dụng | Nền tảng hỗ trợ | Nền tảng miễn phí |
+|:---:|:---:|:---:|
+| Gọi giao diện openai | Alibaba Bailian, Volcano Engine, DeepSeek, Zhipu, Gemini, iFlytek | Zhipu, Gemini |
+| Gọi giao diện ollama | Ollama | - |
+| Gọi giao diện dify | Dify | - |
+| Gọi giao diện fastgpt | Fastgpt | - |
+| Gọi giao diện coze | Coze | - |
+| Gọi giao diện xinference | Xinference | - |
+| Gọi giao diện homeassistant | HomeAssistant | - |
+
+Trên thực tế, bất kỳ LLM nào hỗ trợ gọi giao diện openai đều có thể truy cập sử dụng.
+
+---
+
+### VLLM Mô hình thị giác
+
+| Phương pháp sử dụng | Nền tảng hỗ trợ | Nền tảng miễn phí |
+|:---:|:---:|:---:|
+| Gọi giao diện openai | Alibaba Bailian, Zhipu ChatGLMVLLM | Zhipu ChatGLMVLLM |
+
+Trên thực tế, bất kỳ VLLM nào hỗ trợ gọi giao diện openai đều có thể truy cập sử dụng.
+
+---
+
+### TTS Tổng hợp giọng nói
+
+| Phương pháp sử dụng | Nền tảng hỗ trợ | Nền tảng miễn phí |
+|:---:|:---:|:---:|
+| Gọi giao diện | EdgeTTS, iFlytek, Volcano Engine, Tencent Cloud, Alibaba Cloud và Bailian, CosyVoiceSiliconflow, TTS302AI, CozeCnTTS, GizwitsTTS, ACGNTTS, OpenAITTS, Lingxi streaming TTS, MinimaxTTS | Lingxi streaming TTS, EdgeTTS, CosyVoiceSiliconflow(một phần) |
+| Dịch vụ cục bộ | FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3, Index-TTS, PaddleSpeech | Index-TTS, PaddleSpeech, FishSpeech, GPT_SOVITS_V2, GPT_SOVITS_V3 |
+
+---
+
+### VAD Phát hiện hoạt động giọng nói
+
+| Loại  |   Tên nền tảng    | Phương pháp sử dụng | Mô hình thu phí | Ghi chú |
+|:---:|:---------:|:----:|:----:|:--:|
+| VAD | SileroVAD | Sử dụng cục bộ |  Miễn phí  |    |
+
+---
+
+### ASR Nhận dạng giọng nói
+
+| Phương pháp sử dụng | Nền tảng hỗ trợ | Nền tảng miễn phí |
+|:---:|:---:|:---:|
+| Sử dụng cục bộ | FunASR, SherpaASR | FunASR, SherpaASR |
+| Gọi giao diện | FunASRServer, Volcano Engine, iFlytek, Tencent Cloud, Alibaba Cloud, Baidu Cloud, OpenAI ASR | FunASRServer |
+
+---
+
+### Voiceprint Nhận dạng vân giọng
+
+| Phương pháp sử dụng | Nền tảng hỗ trợ | Nền tảng miễn phí |
+|:---:|:---:|:---:|
+| Sử dụng cục bộ | 3D-Speaker | 3D-Speaker |
+
+---
+
+### Memory Lưu trữ bộ nhớ
+
+|   Loại   |      Tên nền tảng       | Phương pháp sử dụng |   Mô hình thu phí    | Ghi chú |
+|:------:|:---------------:|:----:|:---------:|:--:|
+| Memory |     mem0ai      | Gọi giao diện | Hạn mức 1000 lần/tháng |    |
+| Memory | mem_local_short | Tóm tắt cục bộ |    Miễn phí     |    |
+| Memory |     nomem       | Chế độ không có bộ nhớ |    Miễn phí     |    |
+
+---
+
+### Intent Nhận dạng ý định
+
+|   Loại   |     Tên nền tảng      | Phương pháp sử dụng |  Mô hình thu phí   |          Ghi chú           |
+|:------:|:-------------:|:----:|:-------:|:---------------------:|
+| Intent |  intent_llm   | Gọi giao diện | Thu phí theo LLM |    Nhận dạng ý định qua mô hình lớn, tính tổng quát mạnh     |
+| Intent | function_call | Gọi giao diện | Thu phí theo LLM | Hoàn thành ý định qua gọi hàm mô hình lớn, tốc độ nhanh, hiệu quả tốt |
+| Intent |    nointent   | Chế độ không có ý định |    Miễn phí     |    Không thực hiện nhận dạng ý định, trả về trực tiếp kết quả đối thoại     |
+
+---
+
+### Rag Tăng cường truy xuất thông tin
+
+|   Loại   |     Tên nền tảng      | Phương pháp sử dụng |  Mô hình thu phí   |          Ghi chú           |
+|:------:|:-------------:|:----:|:-------:|:---------------------:|
+| Rag |  ragflow   | Gọi giao diện | Thu phí theo token tiêu tốn của phân đoạn, phân từ |    Sử dụng chức năng tăng cường truy xuất của RagFlow, cung cấp phản hồi đối thoại chính xác hơn     |
+
+---
+
+## Lời cảm ơn 🙏
+
+| Logo | Dự án/Công ty | Mô tả |
+|:---:|:---:|:---|
+| <img src="./docs/images/logo_bailing.png" width="160"> | [Robot đối thoại giọng nói Bailing](https://github.com/wwbin2017/bailing) | Dự án này được lấy cảm hứng từ [Robot đối thoại giọng nói Bailing](https://github.com/wwbin2017/bailing) và được triển khai trên cơ sở đó |
+| <img src="./docs/images/logo_tenclass.png" width="160"> | [Shifang Ronghai](https://www.tenclass.com/) | Cảm ơn [Shifang Ronghai](https://www.tenclass.com/) đã xây dựng giao thức truyền thông tiêu chuẩn, phương án tương thích đa thiết bị và mô phạm thực hành tình huống đồng thời cao cho hệ sinh thái Xiaozhi; cung cấp tài liệu hỗ trợ kỹ thuật toàn diện cho dự án này |
+| <img src="./docs/images/logo_xuanfeng.png" width="160"> | [Xuanfeng Technology](https://github.com/Eric0308) | Cảm ơn [Xuanfeng Technology](https://github.com/Eric0308) đã đóng góp khung gọi hàm, giao thức truyền thông MCP và mã triển khai cơ chế gọi dạng plugin, thông qua hệ thống điều phối lệnh tiêu chuẩn hóa và khả năng mở rộng động, đã cải thiện đáng kể hiệu suất tương tác và khả năng mở rộng chức năng của thiết bị front-end(IoT) |
+| <img src="./docs/images/logo_junsen.png" width="160"> | [huangjunsen](https://github.com/huangjunsen0406) | Cảm ơn [huangjunsen](https://github.com/huangjunsen0406) đã đóng góp module `Bảng điều khiển thông minh di động`, thực hiện điều khiển hiệu quả và tương tác thời gian thực trên thiết bị di động đa nền tảng, cải thiện đáng kể sự tiện lợi vận hành và hiệu quả quản lý của hệ thống trong tình huống di động |
+| <img src="./docs/images/logo_huiyuan.png" width="160"> | [Huiyuan Design](http://ui.kwd988.net/) | Cảm ơn [Huiyuan Design](http://ui.kwd988.net/) đã cung cấp giải pháp thị giác chuyên nghiệp cho dự án này, sử dụng kinh nghiệm thực tế thiết kế phục vụ hơn nghìn doanh nghiệp, trao quyền cho trải nghiệm người dùng sản phẩm của dự án này |
+| <img src="./docs/images/logo_qinren.png" width="160"> | [Xi'an Qinren Information Technology](https://www.029app.com/) | Cảm ơn [Xi'an Qinren Information Technology](https://www.029app.com/) đã làm sâu sắc hệ thống thị giác của dự án này, đảm bảo tính nhất quán và khả năng mở rộng của phong cách thiết kế tổng thể trong ứng dụng đa tình huống |
+| <img src="./docs/images/logo_contributors.png" width="160"> | [Người đóng góp mã](https://github.com/xinnan-tech/xiaozhi-esp32-server/graphs/contributors) | Cảm ơn [tất cả người đóng góp mã](https://github.com/xinnan-tech/xiaozhi-esp32-server/graphs/contributors), sự cống hiến của bạn khiến dự án mạnh mẽ và vững chắc hơn. |
+
+
+<a href="https://star-history.com/#xinnan-tech/xiaozhi-esp32-server&Date">
+
+ <picture>
+   <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=xinnan-tech/xiaozhi-esp32-server&type=Date&theme=dark" />
+   <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=xinnan-tech/xiaozhi-esp32-server&type=Date" />
+   <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=xinnan-tech/xiaozhi-esp32-server&type=Date" />
+ </picture>
+</a>
@@ -2,7 +2,7 @@
 ![请参考-最简化架构图](../docs/images/deploy1.png)
 # 方式一：Docker只运行Server

-docker镜像已支持x86架构、arm64架构的CPU，支持在国产操作系统上运行。
+`0.8.2`版本开始，本项目发行的docker镜像只支持`x86架构`，如果需要在`arm64架构`的CPU上部署，可按照[这个教程](docker-build.md)在本机编译`arm64的镜像`。

 ## 1. 安装docker

@@ -80,7 +80,7 @@ xiaozhi-server
 打开命令行工具，使用`终端`或`命令行`工具 进入到你的`xiaozhi-server`，执行以下命令

 ```
-docker-compose up -d
+docker compose up -d
 ```

 执行完后，再执行以下命令，查看日志信息。
@@ -139,6 +139,9 @@ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/

 conda install libopus -y
 conda install ffmpeg -y
+
+# 在 Linux 环境下进行部署时,如出现类似缺失 libiconv.so.2 动态库的报错 请通过以下命令进行安装
+conda install libiconv -y
 ```

 请注意，以上命令，不是一股脑执行就成功的，你需要一步步执行，每一步执行完后，都检查一下输出的日志，查看是否成功。
@@ -267,7 +270,8 @@ LLM:
 6、[我说话很慢，停顿时小智老是抢话](./FAQ.md)<br/>
 ## 部署相关教程
 1、[如何自动拉取本项目最新代码自动编译和启动](./dev-ops-integration.md)<br/>
-2、[如何与Nginx集成](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/791)<br/>
+2、[如何部署MQTT网关开启MQTT+UDP协议](./mqtt-gateway-integration.md)<br/>
+3、[如何与Nginx集成](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/791)<br/>
 ## 拓展相关教程
 1、[如何开启手机号码注册智控台](./ali-sms-integration.md)<br/>
 2、[如何集成HomeAssistant实现智能家居控制](./homeassistant-integration.md)<br/>
@@ -275,11 +279,13 @@ LLM:
 4、[如何部署MCP接入点](./mcp-endpoint-enable.md)<br/>
 5、[如何接入MCP接入点](./mcp-endpoint-integration.md)<br/>
 6、[如何开启声纹识别](./voiceprint-integration.md)<br/>
-10、[新闻插件源配置指南](./newsnow_plugin_config.md)<br/>
+7、[新闻插件源配置指南](./newsnow_plugin_config.md)<br/>
+8、[天气插件使用指南](./weather-integration.md)<br/>
 ## 语音克隆、本地语音部署相关教程
-1、[如何部署集成index-tts本地语音](./index-stream-integration.md)<br/>
-2、[如何部署集成fish-speech本地语音](./fish-speech-integration.md)<br/>
-3、[如何部署集成PaddleSpeech本地语音](./paddlespeech-deploy.md)<br/>
+1、[如何在智控台克隆音色](./huoshan-streamTTS-voice-cloning.md)<br/>
+2、[如何部署集成index-tts本地语音](./index-stream-integration.md)<br/>
+3、[如何部署集成fish-speech本地语音](./fish-speech-integration.md)<br/>
+4、[如何部署集成PaddleSpeech本地语音](./paddlespeech-deploy.md)<br/>
 ## 性能测试教程
 1、[各组件速度测试指南](./performance_tester.md)<br/>
 2、[定期公开测试结果](https://github.com/xinnan-tech/xiaozhi-performance-research)<br/>
@@ -1,7 +1,7 @@
 # 部署架构图
 ![请参考-全模块安装架构图](../docs/images/deploy2.png)
 # 方式一：Docker运行全模块
-docker镜像已支持x86架构、arm64架构的CPU，支持在国产操作系统上运行。
+`0.8.2`版本开始，本项目发行的docker镜像只支持`x86架构`，如果需要在`arm64架构`的CPU上部署，可按照[这个教程](docker-build.md)在本机编译`arm64的镜像`。

 ## 1. 安装docker

@@ -355,6 +355,9 @@ conda config --add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/

 conda install libopus -y
 conda install ffmpeg -y
+
+# 在 Linux 环境下进行部署时,如出现类似缺失 libiconv.so.2 动态库的报错 请通过以下命令进行安装
+conda install libiconv -y
 ```

 请注意，以上命令，不是一股脑执行就成功的，你需要一步步执行，每一步执行完后，都检查一下输出的日志，查看是否成功。
@@ -468,7 +471,8 @@ ws://你电脑局域网的ip:8000/xiaozhi/v1/
 6、[我说话很慢，停顿时小智老是抢话](./FAQ.md)<br/>
 ## 部署相关教程
 1、[如何自动拉取本项目最新代码自动编译和启动](./dev-ops-integration.md)<br/>
-2、[如何与Nginx集成](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/791)<br/>
+2、[如何部署MQTT网关开启MQTT+UDP协议](./mqtt-gateway-integration.md)<br/>
+3、[如何与Nginx集成](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/791)<br/>
 ## 拓展相关教程
 1、[如何开启手机号码注册智控台](./ali-sms-integration.md)<br/>
 2、[如何集成HomeAssistant实现智能家居控制](./homeassistant-integration.md)<br/>
@@ -479,9 +483,10 @@ ws://你电脑局域网的ip:8000/xiaozhi/v1/
 7、[新闻插件源配置指南](./newsnow_plugin_config.md)<br/>
 8、[天气插件使用指南](./weather-integration.md)<br/>
 ## 语音克隆、本地语音部署相关教程
-1、[如何部署集成index-tts本地语音](./index-stream-integration.md)<br/>
-2、[如何部署集成fish-speech本地语音](./fish-speech-integration.md)<br/>
-3、[如何部署集成PaddleSpeech本地语音](./paddlespeech-deploy.md)<br/>
+1、[如何在智控台克隆音色](./huoshan-streamTTS-voice-cloning.md)<br/>
+2、[如何部署集成index-tts本地语音](./index-stream-integration.md)<br/>
+3、[如何部署集成fish-speech本地语音](./fish-speech-integration.md)<br/>
+4、[如何部署集成PaddleSpeech本地语音](./paddlespeech-deploy.md)<br/>
 ## 性能测试教程
 1、[各组件速度测试指南](./performance_tester.md)<br/>
 2、[定期公开测试结果](https://github.com/xinnan-tech/xiaozhi-performance-research)<br/>
@@ -62,29 +62,33 @@ VAD:
 ### 7、部署相关教程
 1、[如何进行最简化部署](./Deployment.md)<br/>
 2、[如何进行全模块部署](./Deployment_all.md)<br/>
-2、[如何部署MQTT网关开启MQTT+UDP协议](./mqtt-gateway-integration.md)<br/>
-3、[如何自动拉取本项目最新代码自动编译和启动](./dev-ops-integration.md)<br/>
-4、[如何与Nginx集成](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/791)<br/>
+3、[如何部署MQTT网关开启MQTT+UDP协议](./mqtt-gateway-integration.md)<br/>
+4、[如何自动拉取本项目最新代码自动编译和启动](./dev-ops-integration.md)<br/>
+5、[如何与Nginx集成](https://github.com/xinnan-tech/xiaozhi-esp32-server/issues/791)<br/>

-### 8、编译固件相关教程
+### 9、编译固件相关教程
 1、[如何自己编译小智固件](./firmware-build.md)<br/>
 2、[如何基于虾哥编译好的固件修改OTA地址](./firmware-setting.md)<br/>

-### 8、拓展相关教程
+### 10、拓展相关教程
 1、[如何开启手机号码注册智控台](./ali-sms-integration.md)<br/>
 2、[如何集成HomeAssistant实现智能家居控制](./homeassistant-integration.md)<br/>
 3、[如何开启视觉模型实现拍照识物](./mcp-vision-integration.md)<br/>
 4、[如何部署MCP接入点](./mcp-endpoint-enable.md)<br/>
 5、[如何接入MCP接入点](./mcp-endpoint-integration.md)<br/>
-6、[如何开启声纹识别](./voiceprint-integration.md)<br/>
-10、[新闻插件源配置指南](./newsnow_plugin_config.md)<br/>
+6、[MCP方法如何获取设备信息](./mcp-get-device-info.md)<br/>
+7、[如何开启声纹识别](./voiceprint-integration.md)<br/>
+8、[新闻插件源配置指南](./newsnow_plugin_config.md)<br/>
+9、[知识库ragflow集成指南](./ragflow-integration.md)<br/>
+10、[如何部署上下文源](./context-provider-integration.md)<br/>

-### 9、语音克隆、本地语音部署相关教程
-1、[如何部署集成index-tts本地语音](./index-stream-integration.md)<br/>
-2、[如何部署集成fish-speech本地语音](./fish-speech-integration.md)<br/>
-3、[如何部署集成PaddleSpeech本地语音](./paddlespeech-deploy.md)<br/>
+### 11、语音克隆、本地语音部署相关教程
+1、[如何在智控台克隆音色](./huoshan-streamTTS-voice-cloning.md)<br/>
+2、[如何部署集成index-tts本地语音](./index-stream-integration.md)<br/>
+3、[如何部署集成fish-speech本地语音](./fish-speech-integration.md)<br/>
+4、[如何部署集成PaddleSpeech本地语音](./paddlespeech-deploy.md)<br/>

-### 10、性能测试教程
+### 12、性能测试教程
 1、[各组件速度测试指南](./performance_tester.md)<br/>
 2、[定期公开测试结果](https://github.com/xinnan-tech/xiaozhi-performance-research)<br/>

@@ -0,0 +1,224 @@
+# 上下文源使用教程
+
+## 概述
+
+`上下文源`，就是为小智系统提示词的上下文添加【数据源】。
+
+`上下文源` 在小智在唤醒那一刻，获取外部系统的数据，并将其动态注入到大模型的系统提示词（System Prompt）中。
+让其做到唤醒时感知世界某个事物的状态。
+
+它和MCP、记忆有本质的区别：`上下文源`是强制让小智感知世界的数据；`记忆(Mem)`是让他知道之前聊了什么内容；`MCP(functionc all)`是当需要调用某项能力/知识的时候使用调用。
+
+通过这个功能，在小智唤醒的一刹那，“感知”到：
+- 人体健康传感器状态（体温、血压、血氧状态等）
+- 业务系统的实时数据（服务器负载、待办数据、股票信息等）
+- 任何可以通过 HTTP API 获取的文本信息
+
+**注意**：该功能只是方便小智在唤醒的时候感知事物的状态，而如果想要小智唤醒后实时获取事物的状态，建议在此功能上再结合MCP工具的调用。
+
+## 工作原理
+
+1. **配置源**：用户配置一个或多个 HTTP API 地址。
+2. **触发请求**：当系统构建 Prompt 时，如果发现模板中包含 `{{ dynamic_context }}` 占位符，会请求所有配置的 API。
+3. **自动注入**：系统会自动将 API 返回的数据格式化为 Markdown 列表，替换 `{{ dynamic_context }}` 占位符。
+
+## 接口规范
+
+为了让小智正确解析数据，您的 API 需要满足以下规范：
+
+- **请求方式**：`GET`
+- **请求头**：系统会自动添加 `device-id` 字段到 Request Header。
+- **响应格式**：必须返回 JSON 格式，且包含 `code` 和 `data` 字段。
+
+### 响应示例
+
+**情况 1：返回键值对**
+```json
+{
+  "code": 0,
+  "msg": "success",
+  "data": {
+    "客厅温度": "26℃",
+    "客厅湿度": "45%",
+    "大门状态": "已关闭"
+  }
+}
+```
+*注入效果：*
+```markdown
+<context>
+- **客厅温度：** 26℃
+- **客厅湿度：** 45%
+- **大门状态：** 已关闭
+</context>
+```
+
+**情况 2：返回列表**
+```json
+{
+  "code": 0,
+  "data": [
+    "您有10个待办事项",
+    "当前汽车的行驶速度是100km每小时"
+  ]
+}
+```
+*注入效果：*
+```markdown
+<context>
+- 您有10个待办事项
+- 当前汽车的行驶速度是100km每小时
+</context>
+```
+
+## 配置指南
+
+### 方式 1：智控台配置（全模块部署）
+
+1. 登录智控台，进入**角色配置**页面。
+2. 找到**上下文源**配置项（点击“编辑源”按钮）。
+3. 点击**添加**，输入您的 API 地址。
+4. 如果 API 需要鉴权，可以在**请求头**部分添加 `Authorization` 或其他 Header。
+5. 保存配置。
+
+### 方式 2：配置文件配置（单模块部署）
+
+编辑 `xiaozhi-server/data/.config.yaml` 文件，添加 `context_providers` 配置段：
+
+```yaml
+# 上下文源配置
+context_providers:
+  - url: "http://api.example.com/data"
+    headers:
+      Authorization: "Bearer your-token"
+  - url: "http://another-api.com/data"
+```
+
+## 启用功能
+
+默认情况下，系统的提示词模板文件（`data/.agent-base-prompt.txt`）中已经预置了 `{{ dynamic_context }}` 占位符，您无需手动添加。
+
+**示例：**
+
+```markdown
+<context>
+【重要！以下信息已实时提供，无需调用工具查询，请直接使用：】
+- **设备ID：** {{device_id}}
+- **当前时间：** {{current_time}}
+...
+{{ dynamic_context }}
+</context>
+```
+
+**注意**：如果您不需要使用此功能，可以选择**不配置任何上下文源**，也可以从提示词模板文件中**删除** `{{ dynamic_context }}` 占位符。
+
+## 附录：Mock 测试服务示例
+
+为了方便您测试和开发，我们提供了一个简单的 Python Mock Server 脚本。您可以运行此脚本在本地模拟 API 接口。
+
+**mock_api_server.py**
+
+```python
+import http.server
+import socketserver
+import json
+from urllib.parse import urlparse, parse_qs
+
+# 设置端口号
+PORT = 8081
+
+class MockRequestHandler(http.server.SimpleHTTPRequestHandler):
+    def do_GET(self):
+        # 解析路径和参数
+        parsed_path = urlparse(self.path)
+        path = parsed_path.path
+        query = parse_qs(parsed_path.query)
+
+        response_data = {}
+        status_code = 200
+
+        print(f"收到请求: {path}, 参数: {query}")
+
+        # Case 1: 模拟健康数据 (返回字典 Dict)
+        # 路径参数风格: /health
+        # device_id 从 Header 获取
+        if path == "/health":
+            device_id = self.headers.get("device-id", "unknown_device")
+            print(f"device_id: {device_id}")
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": {
+                    "测试设备ID": device_id,
+                    "心率": "80 bpm",
+                    "血压": "120/80 mmHg",
+                    "状态": "良好"
+                }
+            }
+
+        # Case 2: 模拟新闻列表 (返回列表 List)
+        # 无参数: /news/list
+        elif path == "/news/list":
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": [
+                    "今日头条：Python 3.14 发布",
+                    "科技新闻：AI 助手改变生活",
+                    "本地新闻：明日有大雨，记得带伞"
+                ]
+            }
+
+        # Case 3: 模拟天气简报 (返回字符串 String)
+        # 无参数: /weather/simple
+        elif path == "/weather/simple":
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": "今日晴转多云，气温 20-25 度，空气质量优，适合出行。"
+            }
+
+        # Case 4: 模拟设备详情 (Query参数风格)
+        # 参数风格: /device/info
+        # device_id 从 Header 获取
+        elif path == "/device/info":
+            device_id = self.headers.get("device-id", "unknown_device")
+            response_data = {
+                "code": 0,
+                "msg": "success",
+                "data": {
+                    "查询方式": "Header参数",
+                    "设备ID": device_id,
+                    "电量": "85%",
+                    "固件": "v2.0.1"
+                }
+            }
+        
+        # Case 5: 404 Not Found
+        else:
+            status_code = 404
+            response_data = {"error": "接口不存在"}
+
+        # 发送响应
+        self.send_response(status_code)
+        self.send_header('Content-type', 'application/json; charset=utf-8')
+        self.end_headers()
+        self.wfile.write(json.dumps(response_data, ensure_ascii=False).encode('utf-8'))
+
+# 启动服务
+# 允许地址重用，防止快速重启报错
+socketserver.TCPServer.allow_reuse_address = True
+with socketserver.TCPServer(("", PORT), MockRequestHandler) as httpd:
+    print(f"==================================================")
+    print(f"Mock API Server 已启动: http://localhost:{PORT}")
+    print(f"可用接口列表:")
+    print(f"1. [字典] http://localhost:{PORT}/health")
+    print(f"2. [列表] http://localhost:{PORT}/news/list")
+    print(f"3. [文本] http://localhost:{PORT}/weather/simple")
+    print(f"4. [参数] http://localhost:{PORT}/device/info")
+    print(f"==================================================")
+    try:
+        httpd.serve_forever()
+    except KeyboardInterrupt:
+        print("\n服务已停止")
+```
@@ -17,5 +17,5 @@ docker build -t xiaozhi-esp32-server:web_latest -f ./Dockerfile-web .
 # 编译完成后，可以使用docker-compose启动项目
 # docker-compose.yml你需要修改成自己编译的镜像版本
 cd main/xiaozhi-server
-docker-compose up -d
+docker compose up -d
 ```
@@ -97,7 +97,7 @@ http://homeassistant.local:8123

 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。
+将意图识别设置成`外挂的大模型意图识别`或`大模型自主函数调用`。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。

 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`。

@@ -1,29 +1,56 @@
-# 火山双向流式TTS+声音克隆配置教程
-单模块部署下，使用火山引擎双向流式语音合成服务的同时进行声音克隆，支持WebSocket协议流式调用。
+# 智控台 火山双流式语音合成+音色克隆配置教程
+
+本教程分为4个阶段：准备阶段、配置阶段、克隆阶段、使用阶段。主要是介绍通过智控台配置火山双流式语音合成+音色克隆的过程。
+
+## 第一阶段：准备阶段
+超级管理员先预先把火山引擎服务开通好，获取到App Id，Access Token。默认火上引擎会赠送一个音色资源。这个音色资源需要把它复制到本项目里。
+
+如果你想克隆多个音色，需要购买开通多个音色资源。只要把每个音色资源的声音ID(S_xxxxx)复制到本项目。然后分配给系统的账号使用即可。以下是详细步骤：
+
 ### 1.开通火山引擎服务
-访问 https://console.volcengine.com/speech/app  在应用管理创建应用，勾选语音合成大模型和声音复刻大模型，左边列表点击声音复刻大模型后下滑获得App Id，Access Token，Cluster ID以及声音ID(S_xxxxx)
-### 2.克隆音色
-克隆音色请参照教程 https://github.com/104gogo/huoshan-voice-copy 
+访问 https://console.volcengine.com/speech/app  在应用管理创建应用，勾选语音合成大模型和声音复刻大模型。

-准备一段 10-30 秒的音频文件（.wav格式）添加到克隆的项目中，将平台获得的密钥填入```uploadAndStatus.py```和```tts_http_demo.py```
+### 2.获取音色资源ID
+访问 https://console.volcengine.com/speech/service/9999 复制三项内容，分别是App Id，Access Token以及声音ID(S_xxxxx)。如图

-在uploadAndStatus.py中，将 audio_path=修改成自己的.wav文件名称
-```python
-train(appid=appid, token=token, audio_path=r".\audios\xiaohe.wav", spk_id=spk_id)
-```
+![获取音色资源](images/image-clone-integration-01.png)

-运行以下命令生成test_submit.mp3，点击播放试听克隆效果
+## 第二阶段：配置火山引擎服务

-```python
-python uploadAndStatus.py
-python tts_http_demo.py
-```
-回到火山引擎控制台页面，刷新可以看到声音复刻详情的状态是复刻成功。
-### 3.填写配置文件
-将火山引擎服务申请到的密钥填入.config.yaml的HuoshanDoubleStreamTTS配置文件中
+### 1.填写火山引擎配置

-修改 resource_id的参数为``` volc.megatts.default``` 
-（参考官方文档 https://www.volcengine.com/docs/6561/1329505）
-speaker的参数填入声音ID(S_xxxxx)
+使用超级管理员账号登录智控台，点击顶部【模型配置】，再点击模型配置页面左侧的【语音合成】，搜索找到“火山双流式语音合成”，点击修改，将你火山引擎的`App Id`填入到【应用ID】字段里，将`Access Token`填入到【访问令牌】字段里。然后保存。

-启动服务，唤醒小智发出的声音是克隆的音色即成功。
+### 2.将音色资源ID分配给系统账号
+
+使用超级管理员账号登录智控台，点击顶部【音色克隆】、【音色资源】。
+
+点击新增按钮，在【平台名称】选择“火山双流式语音合成”；
+
+在【音色资源ID】填入你火山引擎的声音资源ID(S_xxxxx)，填入后按回车；
+
+在【归属账号】选择你要分配给的系统账号，你可以分配给你自己。然后点击保存
+
+## 第三阶段：克隆阶段
+
+如果登录后，点击顶部【音色克隆】》【音色克隆】，显示【您的账号暂无音色资源请联系管理员分配音色资源】，说明你在第二阶段还没有把音色资源ID分配给这个账号。那就是回到第二阶段，分配音色资源给对应的账号。
+
+如果登录后，点击顶部【音色克隆】》【音色克隆】，能看到对应的音色列表。请继续。
+
+在列表里会看到对应的音色列表。选择其中一个音色资源，点击【上传音频】按钮。上传后，可以试听一下声音或者截取某段声音。确认后点击【上传音频】按钮。
+![上传音频](images/image-clone-integration-02.png)
+
+上传音频后，在列表里会看到对应的音色会变成“待复刻”状态。点击【立即复刻】按钮。等1~2秒会返回结果。
+
+如果复刻失败，请将鼠标放到“错误信息”图标上，会显示失败的原因。
+
+如果复刻成功，在列表里会看到对应的音色会变成“训练成功”状态。此时你可以点击【声音名称】栏的修改按钮，修改音色资源的名称，方便后期选择使用。
+
+## 第四阶段：使用阶段
+
+点击顶部【智能体管理】，选择任意一个智能体，点击【配置角色】按钮。
+
+语音合成(TTS)选择“火山双流式语音合成”。在列表里，找到名字带有“克隆音色”的音色资源（如图），选择它，点击保存。
+![选择音色](images/image-clone-integration-03.png)
+
+接下来，可以唤醒小智和它对话。
@@ -1,14 +1,18 @@
 # IndexStreamTTS 使用指南

 ## 环境准备
-### 1. 克隆项目 （注意这里使用的为VLLM1.0的Releases版本）
+### 1. 克隆项目 
 ```bash 
-https://github.com/Ksuriuri/index-tts-vllm/releases/tag/IndexTTS-vLLM-1.0
+git clone https://github.com/Ksuriuri/index-tts-vllm.git
 ```
 进入解压后的目录
 ```bash
 cd index-tts-vllm
 ```
+切换到指定版本 (使用VLLM-0.10.2的历史版本)
+```bash
+git checkout 224e8d5e5c8f66801845c66b30fa765328fd0be3
+```

 ### 2. 创建并激活 conda 环境
 ```bash 
@@ -34,7 +38,7 @@ Cuda compilation tools, release 12.8, V12.8.89
 ```bash
 pip install torch torchvision
 ```
-需要 pytorch 版本 2.8.0（对应 vllm 0.10.2），具体安装指令请参考：[pytorch 官网](https://pytorch.org/get-started/locally/)  
+需要 pytorch 版本 2.8.0（对应 vllm 0.10.2），具体安装指令请参考：[pytorch 官网](https://pytorch.org/get-started/locally/)

 ### 4. 安装依赖
 ```bash 
@@ -42,6 +46,7 @@ pip install -r requirements.txt
 ```

 ### 5. 下载模型权重
+### 方案一：下载官方权重文件后转换
 此为官方权重文件，下载到本地任意路径即可，支持 IndexTTS-1.5 的权重  
 | HuggingFace                                                   | ModelScope                                                          |
 |---------------------------------------------------------------|---------------------------------------------------------------------|
@@ -49,7 +54,7 @@ pip install -r requirements.txt
 | [IndexTTS-1.5](https://huggingface.co/IndexTeam/IndexTTS-1.5) | [IndexTTS-1.5](https://modelscope.cn/models/IndexTeam/IndexTTS-1.5) |

 下面以ModelScope的安装方法为例  
-### 请注意：git需要安装并初始化启用lfs（如已安装可以跳过）
+#### 请注意：git需要安装并初始化启用lfs（如已安装可以跳过）
 ```bash
 sudo apt-get install git-lfs
 git lfs install
@@ -61,7 +66,7 @@ cd model_dir
 git clone https://www.modelscope.cn/IndexTeam/IndexTTS-1.5.git
 ```

-### 5. 模型权重转换
+#### 模型权重转换
 ```bash 
 bash convert_hf_format.sh /path/to/your/model_dir
 ```
@@ -169,6 +174,8 @@ chmod +x start_api.sh
 ```bash
 tail -f tmp/server.log
 ```
+如果显卡内存足够，可在脚本中添加启动参数 ----gpu_memory_utilization 来调整显存占用比例，默认值为 0.25
+
 ## 音色配置
 index-tts-vllm支持通过配置文件注册自定义音色，支持单音色和混合音色配置。  
 在项目根目录下的assets/speaker.json文件中配置自定义音色
@@ -184,5 +191,5 @@ index-tts-vllm支持通过配置文件注册自定义音色，支持单音色和
    ]
 }
 ```
-### 注意 （需重启服务进行注册）
+### 注意 （配置角色后需重启服务进行音色注册）
 添加后需在智控台中添加相应的说话人（单模块则更换相应的voice）
@@ -71,6 +71,7 @@ docker logs -f mcp-endpoint-server
 请你保留好上面两个`接口地址`，下一步要用到。

 # 2、全模块部署时，怎么配置MCP接入点
+首先，你要开启MCP接入点功能。在智控台，点击顶部`参数字典`，在下拉菜单中，点击`系统功能配置`页面。在页面上勾选`MCP接入点`，点击`保存配置`。在`角色配置`页面，点击`编辑功能`按钮，即可看到`mcp接入点`功能。

 如果你是全模块部署，使用管理员账号，登录智控台，点击顶部`参数字典`，选择`参数管理`功能。

@@ -0,0 +1,40 @@
+# MCP 方法如何获取设备信息
+
+本教程将指导你如何使用MCP方法获取设备信息。
+
+第一步：自定义你的`agent-base-prompt.txt`文件
+
+把xiaozhi-server目录的`agent-base-prompt.txt`文件内容复制到你的`data`目录下，并重命名为`.agent-base-prompt.txt`。
+
+第二步：修改`data/.agent-base-prompt.txt`文件，找到`<context>`标签，在标签内容中添加以下代码内容：
+```
+- **设备ID：** {{device_id}}
+```
+
+添加完成后，你的`data/.agent-base-prompt.txt`文件的`<context>`标签内容大致如下：
+```
+<context>
+【重要！以下信息已实时提供，无需调用工具查询，请直接使用：】
+- **设备ID：** {{device_id}}
+- **当前时间：** {{current_time}}
+- **今天日期：** {{today_date}} ({{today_weekday}})
+- **今天农历：** {{lunar_date}}
+- **用户所在城市：** {{local_address}}
+- **当地未来7天天气：** {{weather_info}}
+</context>
+```
+
+第三步：修改`data/.config.yaml`文件，找到`agent-base-prompt`配置，修改前内容如下：
+```
+prompt_template: agent-base-prompt.txt
+```
+修改成
+```
+prompt_template: data/.agent-base-prompt.txt
+```
+
+第四步：重启你的xiaozhi-server服务。
+
+第五步：在你的mcp方法增加名称为`device_id`,类型为`string`,描述为`设备ID`的参数。
+
+第六步：重新唤醒小智，让他调用mcp方法，查看你的mcp方法是否可以获取`设备ID`。
@@ -11,12 +11,12 @@

 1、如果你是源码部署，你的`mqtt-websocket`地址是：
 ```
-ws://127.0.0.1:8000/xiaozhi/v1?from=mqtt_gateway
+ws://127.0.0.1:8000/xiaozhi/v1/?from=mqtt_gateway
 ```

 2、如果你是docker部署，你的`mqtt-websocket`地址是
 ```
-ws://你宿主机局域网IP:8000/xiaozhi/v1?from=mqtt_gateway
+ws://你宿主机局域网IP:8000/xiaozhi/v1/?from=mqtt_gateway
 ```

 ## 重要提示
@@ -53,7 +53,7 @@ cp config/mqtt.json.example config/mqtt.json
 {
    "production": {
        "chat_servers": [
-            "ws://127.0.0.1:8000/xiaozhi/v1?from=mqtt_gateway"
+            "ws://127.0.0.1:8000/xiaozhi/v1/?from=mqtt_gateway"
        ]
    },
    "debug": false,
@@ -0,0 +1,269 @@
+# ragflow 集成指南
+
+本教程主要是是两部分
+
+- 一、如何部署ragflow
+- 二、如何在智控台配置ragflow接口
+
+如果您对ragflow很熟悉，且已经部署了ragflow，可直接跳过第一部分，直接进入第二部分。但是如果你希望有人指导你部署ragflow，让它能够和`xiaozhi-esp32-server`共同使用`mysql`、`redis`基础服务，以减少资源成本，你需要从第一部分开始。
+
+# 第一部分 如何部署ragflow
+## 第一步， 确认mysql、redis是否可用
+
+ragflow需要依赖`mysql`数据库。如果你之前已经部署`智控台`，说明你已经安装了`mysql`。你可以共用它。
+
+你可以你试一下在宿主机使用`telnet`命令，看看能不能正常访问`mysql`的`3306`端口。
+``` shell
+telnet 127.0.0.1 3306
+
+telnet 127.0.0.1 6379
+```
+如果能访问到`3306`端口和`6379`端口，请忽略以下的内容，直接进入第二步。
+
+如果不能访问，你需要回忆一下，你的`mysql`是怎么安装的。
+
+如果你的mysql是通过自己使用安装包安装的，说明你的`mysql`做了网络隔离。你可能先解决访问`mysql`的`3306`端口这个问题。
+
+如果你`mysql`是通过本项目的`docker-compose_all.yml`安装的。你需要找一下你当时创建数据库的`docker-compose_all.yml`文件，修改以下的内容
+
+修改前
+``` yaml
+  xiaozhi-esp32-server-db:
+    ...
+    networks:
+      - default
+    expose:
+      - "3306:3306"
+  xiaozhi-esp32-server-redis:
+    ...
+    expose:
+      - 6379
+```
+
+修改后
+``` yaml
+  xiaozhi-esp32-server-db:
+    ...
+    networks:
+      - default
+    ports:
+      - "3306:3306"
+  xiaozhi-esp32-server-redis:
+    ...
+    ports:
+      - "6379:6379"
+```
+
+注意是将`xiaozhi-esp32-server-db`和`xiaozhi-esp32-server-redis`下面的`expose`改成`ports`。改完后，需要重新启动。以下是重启mysql的命令：
+
+``` shell
+# 进入你docker-compose_all.yml所在的文件夹，例如我的是xiaozhi-server
+cd xiaozhi-server
+docker compose -f docker-compose_all.yml down
+docker compose -f docker-compose.yml up -d
+```
+
+启动完后，在宿主机再使用`telnet`命令，看看能不能正常访问`mysql`的`3306`端口。
+``` shell
+telnet 127.0.0.1 3306
+
+telnet 127.0.0.1 6379
+```
+正常来说这样就可以访问的了。
+
+## 第二步， 创建数据库和表
+如果你的宿主机，能正常访问mysql数据库，那就在mysql上创建一个名字为`rag_flow`的数据库和`rag_flow`用户，密码为`infini_rag_flow`。
+
+``` sql
+-- 创建数据库
+CREATE DATABASE IF NOT EXISTS rag_flow CHARACTER SET utf8mb4 COLLATE utf8mb4_unicode_ci;
+
+-- 创建用户并授权
+CREATE USER IF NOT EXISTS 'rag_flow'@'%' IDENTIFIED BY 'infini_rag_flow';
+GRANT ALL PRIVILEGES ON rag_flow.* TO 'rag_flow'@'%';
+
+-- 刷新权限
+FLUSH PRIVILEGES;
+```
+
+## 第三步， 下载ragflow项目
+
+你需要在你电脑找一个文件夹，用来存放ragflow项目。例如我在`/home/system/xiaozhi`文件夹。
+
+你可以使用`git`命令，将ragflow项目下载到这个文件夹，本教程使用的是`v0.22.0`版本进行安装部署。
+```
+git clone https://ghfast.top/https://github.com/infiniflow/ragflow.git
+cd ragflow
+git checkout v0.22.0
+```
+下载完后，进入`docker`文件夹。
+``` shell
+cd docker
+```
+修改`ragflow/docker`文件夹下的`docker-compose.yml`文件，将`ragflow-cpu`和`ragflow-gpu`服务的`depends_on`配置去掉，用于解除`ragflow-cpu`服务对`mysql`的依赖。
+
+这是修改前：
+``` yaml
+  ragflow-cpu:
+    depends_on:
+      mysql:
+        condition: service_healthy
+    profiles:
+      - cpu
+  ...
+  ragflow-gpu:
+    depends_on:
+      mysql:
+        condition: service_healthy
+    profiles:
+      - gpu
+```
+这是修改后：
+``` yaml
+  ragflow-cpu:
+    profiles:
+      - cpu
+  ...
+  ragflow-gpu:
+    profiles:
+      - gpu
+```
+
+接着，修改`ragflow/docker`文件夹下的`docker-compose-base.yml`文件，去掉`mysql`和`redis`的配置。
+
+例如，删除前：
+``` yaml
+services:
+  minio:
+    image: quay.io/minio/minio:RELEASE.2025-06-13T11-33-47Z
+    ...
+  mysql:
+    image: mysql:8.0
+    ...
+  redis:
+    image: redis:6.2-alpine
+    ...
+```
+
+删除后
+``` yaml
+services:
+  minio:
+    image: quay.io/minio/minio:RELEASE.2025-06-13T11-33-47Z
+    ...
+```
+## 第四步，修改环境变量配置
+
+编辑`ragflow/docker`文件夹下的`.env`文件,找到以下配置，逐个搜索，逐个修改！逐个搜索，逐个修改！
+
+下面对于`.env`文件的修改，60%的人会忽略`MYSQL_USER`配置导致ragflow启动不成功，因此，需要强调三次：
+
+强调第一次：如果你的`.env`文件如果没有`MYSQL_USER`配置，请在配置文件增加这项！
+
+强调第二次：如果你的`.env`文件如果没有`MYSQL_USER`配置，请在配置文件增加这项！
+
+强调第三次：如果你的`.env`文件如果没有`MYSQL_USER`配置，请在配置文件增加这项！
+
+``` env
+# 端口设置
+SVR_WEB_HTTP_PORT=8008           # HTTP端口
+SVR_WEB_HTTPS_PORT=8009          # HTTPS端口
+# MySQL配置 - 修改为您本地MySQL的信息
+MYSQL_HOST=host.docker.internal  # 使用host.docker.internal让容器访问主机服务
+MYSQL_PORT=3306                  # 本地MySQL端口
+MYSQL_USER=rag_flow              # 上面创建的用户名，如果没有这项就增加这一项
+MYSQL_PASSWORD=infini_rag_flow   # 上面设置的密码
+MYSQL_DBNAME=rag_flow            # 数据库名称
+
+# Redis配置 - 修改为您本地Redis的信息
+REDIS_HOST=host.docker.internal  # 使用host.docker.internal让容器访问主机服务
+REDIS_PORT=6379                  # 本地Redis端口
+REDIS_PASSWORD=                  # 如果你的Redis没有设置密码，就按这样子填写，否则填写密码
+```
+
+注意，如果你的Redis没有设置密码，还要修改`ragflow/docker`文件夹下`service_conf.yaml.template`，将`infini_rag_flow`替换成空字符串。
+
+修改前
+``` shell
+redis:
+  db: 1
+  password: '${REDIS_PASSWORD:-infini_rag_flow}'
+  host: '${REDIS_HOST:-redis}:6379'
+```
+修改后
+``` shell
+redis:
+  db: 1
+  password: '${REDIS_PASSWORD:-}'
+  host: '${REDIS_HOST:-redis}:6379'
+```
+
+## 第五步，启动ragflow服务
+执行命令：
+``` shell
+docker-compose -f docker-compose.yml up -d
+```
+执行成功后，你可以使用`docker logs -n 20 -f docker-ragflow-cpu-1`命令，查看`docker-ragflow-cpu-1`服务的日志。
+
+如果日志中没有报错，说明ragflow服务启动成功。
+
+# 第五步，注册账号
+你可以在浏览器中访问`http://127.0.0.1:8008`，点击`Sign Up`，注册一个账号。
+
+注册成功后，你可以点击`Sign In`，登录到ragflow服务。如果你想关闭ragflow服务的注册服务，不想让其他人注册账号，你可以在`ragflow/docker`文件夹下的`.env`文件中，将`REGISTER_ENABLED`配置项设置为`0`。
+
+``` dotenv
+REGISTER_ENABLED=0
+```
+修改后，重启启动ragflow服务。
+``` shell
+docker-compose -f docker-compose.yml down
+docker-compose -f docker-compose.yml up -d
+```
+
+# 第六步，配置ragflow服务的模型
+你可以在浏览器中访问`http://127.0.0.1:8008`，点击`Sign In`，登录到ragflow服务。点击页面右上角的`头像`，进入设置页面。
+首先，在左侧导航栏中，点击`模型供应商`，进入到模型配置页面。在右侧的`可选模型`搜索框下，选择`LLM`，在列表选择你使用的模型供应商，点击`添加`，输入你的密钥；
+然后，选择`TEXT EMBEDDING`，在列表选择你使用的模型供应商，点击`添加`，输入你的密钥。
+最后，刷新一下页面，分别点击`设置默认模型`列表的LLM和Embedding，选择你使用的模型即可。请确认你的密钥开通了相应的服务，比如我是用的Embedding模型是xxx供应商的，需要去这个供应商官网查看这个模型是否需要购买资源包才能使用。
+
+
+# 第二部分 配置ragflow服务
+
+# 第一步 登录ragflow服务
+你可以在浏览器中访问`http://127.0.0.1:8008`，点击`Sign In`，登录到ragflow服务。
+
+然后点击右上角的`头像`，进入设置页面。在左侧导航栏中，点击`API`功能，然后点击"API Key"按钮。出现一个弹框，
+
+在弹框中，点击"Create new Key"按钮，生成一个API Key。复制这个`API Key`，你稍后会用到。
+
+# 第二步 配置到智控台
+确保你的智控台版本是`0.8.7`或以上。使用超级管理员账号登录到智控台。
+
+首先，你要先开启知识库功能。在顶部导航栏中，点击`参数字典`，在下拉菜单中，点击`系统功能配置`页面。在页面上勾选`知识库`，点击`保存配置`。即可在导航栏看到`知识库`功能。
+
+在顶部导航栏中，点击`模型配置`，在左侧导航栏中，点击`知识库`。在列表中找到`RAG_RAGFlow`，点击`编辑`按钮。
+
+在`服务地址`中，填写`http://你的ragflow服务的局域网IP:8008`，例如我的ragflow服务的局域网IP是`192.168.1.100`，那么我就填写`http://192.168.1.100:8008`。
+
+在`API密钥`中，填写之前复制的`API Key`。
+
+最后点击保存按钮。
+
+# 第二步 创建一个知识库
+使用超级管理员账号登录到智控台。在顶部导航栏中，点击`知识库`，在列表左下脚，点击`新增`按钮。填写一个知识库的名字和描述。点击保存。
+
+为了提高大模型对知识库的理解和召回能力，建议在创建知识库时，填写一个有意义的名字和描述。例如，如果你要创建一个关于`公司介绍`的知识库，那么知识库的名字可以是`公司介绍`，描述可以是`关于公司的相关信息例如公司基本信息、服务项目、联系电话、地址等。`。
+
+保存后，你可以在知识库列表中看到这个知识库。点击刚才创建的知识库的`查看`按钮，进入知识库详情页面。
+
+在知识库详情页面中，左下角点击`新增`按钮，可以上传文档到知识库。
+
+上传后，你可以在知识库详情页面中，看到上传的文档。此时可以点击文档的`解析`按钮，解析文档。
+
+解析完成后，你可以查看解析后的切片信息。你可以在知识库详情页面中，点击`召回测试`按钮，可以测试知识库的召回/检索功能。
+
+# 第三步 让小智使用ragflow知识库
+登录到智控台。在顶部导航栏中，点击`智能体`，找到你要配置的智能体，点击`配置角色`按钮。
+
+在意图识别左侧，点击`编辑功能`按钮，弹出一个弹框。在弹框中选择你要添加的知识库。保存即可。
@@ -28,7 +28,7 @@ telnet 127.0.0.1 3306

 如果不能访问，你需要回忆一下，你的`mysql`是怎么安装的。

-如果你的mysql是通过自己使用安装包安装的，说明你的`mysql`做了网络隔离。你可能先解访问`mysql`的`3306`端口这个问题。
+如果你的mysql是通过自己使用安装包安装的，说明你的`mysql`做了网络隔离。你可能先解决访问`mysql`的`3306`端口这个问题。

 如果你`mysql`是通过本项目的`docker-compose_all.yml`安装的。你需要找一下你当时创建数据库的`docker-compose_all.yml`文件，修改以下的内容

@@ -164,6 +164,8 @@ http://192.168.1.25:8005/voiceprint/health?key=abcd
 # 2、全模块部署时，怎么配置声纹识别

 ## 第一步 配置接口
+首先，你要开启声纹识别功能。在智控台，点击顶部`参数字典`，在下拉菜单中，点击`系统功能配置`页面。在页面上勾选`声纹识别`，点击`保存配置`。即可在新建智能体的卡片上看到`声纹识别`按钮。
+
 如果你是全模块部署，使用管理员账号，登录智控台，点击顶部`参数字典`，选择`参数管理`功能。

 然后搜索参数`server.voice_print`，此时，它的值应该是`null`值。
@@ -141,11 +141,26 @@ public interface Constant {
     */
    String SERVER_MQTT_SECRET = "server.mqtt_signature_key";

+    /**
+     * WebSocket认证开关
+     */
+    String SERVER_AUTH_ENABLED = "server.auth.enabled";
+
    /**
     * 无记忆
     */
    String MEMORY_NO_MEM = "Memory_nomem";

+    /**
+     * 火山引擎双声道语音克隆
+     */
+    String VOICE_CLONE_HUOSHAN_DOUBLE_STREAM = "huoshan_double_stream";
+
+    /**
+     * RAG配置类型
+     */
+    String RAG_CONFIG_TYPE = "RAG";
+
    enum SysBaseParam {
        /**
         * ICP备案号
@@ -171,6 +186,38 @@ public interface Constant {
        }
    }

+    /**
+     * 训练状态
+     */
+    enum TrainStatus {
+        /**
+         * 未训练
+         */
+        NOT_TRAINED(0),
+        /**
+         * 训练中
+         */
+        TRAINING(1),
+        /**
+         * 已训练
+         */
+        TRAINED(2),
+        /**
+         * 训练失败
+         */
+        TRAIN_FAILED(3);
+
+        private final int code;
+
+        TrainStatus(int code) {
+            this.code = code;
+        }
+
+        public int getCode() {
+            return code;
+        }
+    }
+
    /**
     * 系统短信
     */
@@ -257,7 +304,7 @@ public interface Constant {
    /**
     * 版本号
     */
-    public static final String VERSION = "0.8.3";
+    public static final String VERSION = "0.8.10";

    /**
     * 无效固件URL
@@ -55,7 +55,7 @@ public interface ErrorCode {

    int OTA_DEVICE_NOT_FOUND = 10041;
    int OTA_DEVICE_NEED_BIND = 10042;
-    
+
    // 新增错误编码
    int DELETE_DATA_FAILED = 10043;
    int USER_NOT_LOGIN = 10044;
@@ -66,7 +66,7 @@ public interface ErrorCode {
    int INVALID_LLM_TYPE = 10049;
    int TOKEN_GENERATE_ERROR = 10050;
    int RESOURCE_NOT_FOUND = 10051;
-    
+
    // 新增错误编码
    int DEFAULT_AGENT_NOT_FOUND = 10052;
    int AGENT_NOT_FOUND = 10053;
@@ -82,14 +82,6 @@ public interface ErrorCode {
    int DEVICE_ALREADY_ACTIVATED = 10063;
    // 默认模型删除错误
    int DEFAULT_MODEL_DELETE_ERROR = 10064;
-    // 设备相关错误码
-    int MAC_ADDRESS_ALREADY_EXISTS = 10090; // Mac地址已存在
-    // 模型相关错误码
-    int MODEL_PROVIDER_NOT_EXIST = 10091; // 供应器不存在
-    int LLM_NOT_EXIST = 10092; // 设置的LLM不存在
-    int MODEL_REFERENCED_BY_AGENT = 10093; // 该模型配置已被智能体引用，无法删除
-    int LLM_REFERENCED_BY_INTENT = 10094; // 该LLM模型已被意图识别配置引用，无法删除
-    
    // 登录相关错误码
    int ADD_DATA_FAILED = 10065; // 新增数据失败
    int UPDATE_DATA_FAILED = 10066; // 修改数据失败
@@ -102,17 +94,17 @@ public interface ErrorCode {
    int RETRIEVE_PASSWORD_DISABLED = 10073; // 未开启找回密码功能
    int PHONE_FORMAT_ERROR = 10074; // 手机号码格式不正确
    int SMS_CODE_ERROR = 10075; // 手机验证码错误
-    
+
    // 字典类型相关错误码
    int DICT_TYPE_NOT_EXIST = 10076; // 字典类型不存在
    int DICT_TYPE_DUPLICATE = 10077; // 字典类型编码重复
-    
+
    // 资源处理相关错误码
    int RESOURCE_READ_ERROR = 10078; // 读取资源失败
-    
+
    // 智能体相关错误码
    int LLM_INTENT_PARAMS_MISMATCH = 10079; // LLM大模型和Intent意图识别，选择参数不匹配
-    
+
    // 声纹相关错误码
    int VOICEPRINT_ALREADY_REGISTERED = 10080; // 此声音声纹已经注册
    int VOICEPRINT_DELETE_ERROR = 10081; // 删除声纹出现错误
@@ -126,12 +118,16 @@ public interface ErrorCode {
    int VOICEPRINT_UNREGISTER_REQUEST_ERROR = 10089; // 声纹注销请求失败
    int VOICEPRINT_UNREGISTER_PROCESS_ERROR = 10090; // 声纹注销处理失败
    int VOICEPRINT_IDENTIFY_REQUEST_ERROR = 10091; // 声纹识别请求失败
-    
+
+    int LLM_NOT_EXIST = 10092; // 设置的LLM不存在
+    int MODEL_REFERENCED_BY_AGENT = 10093; // 该模型配置已被智能体引用，无法删除
+    int LLM_REFERENCED_BY_INTENT = 10094; // 该LLM模型已被意图识别配置引用，无法删除
+
    // 服务端管理相关错误码
    int INVALID_SERVER_ACTION = 10095; // 无效服务端操作
    int SERVER_WEBSOCKET_NOT_CONFIGURED = 10096; // 未配置服务端WebSocket地址
    int TARGET_WEBSOCKET_NOT_EXIST = 10097; // 目标WebSocket地址不存在
-    
+
    // 参数验证相关错误码
    int WEBSOCKET_URLS_EMPTY = 10098; // WebSocket地址列表不能为空
    int WEBSOCKET_URL_LOCALHOST = 10099; // WebSocket地址不能使用localhost或127.0.0.1
@@ -175,4 +171,73 @@ public interface ErrorCode {
    int DOWNLOAD_LINK_INVALID = 10137; // 下载链接无效
    int CHAT_ROLE_USER = 10138; // 用户角色
    int CHAT_ROLE_AGENT = 10139; // 智能体角色
+
+    // 声音克隆相关错误码
+    int VOICE_CLONE_AUDIO_EMPTY = 10140; // 音频文件不能为空
+    int VOICE_CLONE_NOT_AUDIO_FILE = 10141; // 只支持音频文件
+    int VOICE_CLONE_AUDIO_TOO_LARGE = 10142; // 音频文件大小不能超过10MB
+    int VOICE_CLONE_UPLOAD_FAILED = 10143; // 上传失败
+    int VOICE_CLONE_RECORD_NOT_EXIST = 10144; // 声音克隆记录不存在
+    int VOICE_RESOURCE_INFO_EMPTY = 10145; // 音色资源信息不能为空
+    int VOICE_RESOURCE_PLATFORM_NAME_EMPTY = 10146; // 平台名称不能为空
+    int VOICE_RESOURCE_ID_EMPTY = 10147; // 音色ID不能为空
+    int VOICE_RESOURCE_ACCOUNT_EMPTY = 10148; // 归属账号不能为空
+    int VOICE_RESOURCE_DELETE_ID_EMPTY = 10149; // 删除的音色资源ID不能为空
+    int VOICE_RESOURCE_NO_PERMISSION = 10150; // 您没有权限操作该记录
+    int VOICE_CLONE_AUDIO_NOT_UPLOADED = 10151; // 请先上传音频文件
+    int VOICE_CLONE_MODEL_CONFIG_NOT_FOUND = 10152; // 模型配置未找到
+    int VOICE_CLONE_MODEL_TYPE_NOT_FOUND = 10153; // 模型类型未找到
+    int VOICE_CLONE_TRAINING_FAILED = 10154; // 训练失败
+    int VOICE_CLONE_HUOSHAN_CONFIG_MISSING = 10155; // 火山引擎缺少配置
+    int VOICE_CLONE_RESPONSE_FORMAT_ERROR = 10156; // 响应格式错误
+    int VOICE_CLONE_REQUEST_FAILED = 10157; // 请求失败
+    int VOICE_CLONE_PREFIX = 10158; // 复刻音色前缀
+    int VOICE_ID_ALREADY_EXISTS = 10159; // 音色ID已存在
+    int VOICE_CLONE_HUOSHAN_VOICE_ID_ERROR = 10160; // 火山引擎音色ID格式错误
+
+    // 设备相关错误码
+    int MAC_ADDRESS_ALREADY_EXISTS = 10161; // Mac地址已存在
+    // 模型相关错误码
+    int MODEL_PROVIDER_NOT_EXIST = 10162; // 供应器不存在
+
+    // 知识库相关错误码
+    int Knowledge_Base_RECORD_NOT_EXISTS = 10163; // 知识库记录不存在
+    int RAG_CONFIG_NOT_FOUND = 10164; // RAG配置未找到
+    int RAG_CONFIG_TYPE_ERROR = 10165; // RAG配置类型错误
+    int RAG_DEFAULT_CONFIG_NOT_FOUND = 10166; // 默认RAG配置未找到
+    int RAG_API_ERROR = 10167; // RAG调用失败
+    int UPLOAD_FILE_ERROR = 10168; // 上传文件失败
+    int NO_PERMISSION = 10169; // 没有权限
+    int KNOWLEDGE_BASE_NAME_EXISTS = 10170; // 同名知识库已存在
+    int RAG_API_ERROR_URL_NULL = 10171; // RAG配置中base_url为空，请完善配置
+    int RAG_API_ERROR_API_KEY_NULL = 10172; // RAG配置中api_key为空，请完善配置
+    int RAG_API_ERROR_API_KEY_INVALID = 10173; // RAG配置中api_key包含占位符，请替换为实际的API密钥
+    int RAG_API_ERROR_URL_INVALID = 10174; // RAG配置中base_url格式不正确，请检查协议是否正确
+    int RAG_DATASET_ID_NOT_NULL = 10176; // RAG配置中dataset_id不能为空
+    int RAG_MODEL_ID_NOT_NULL = 10177; // RAG配置中model_id不能为空
+    int RAG_DATASET_ID_AND_MODEL_ID_NOT_NULL = 10178; // RAG配置中dataset_id和model_id不能为空
+    int RAG_FILE_NAME_NOT_NULL = 10179; // 文件名称不能为空
+    int RAG_FILE_CONTENT_EMPTY = 10180; // 文件内容不能为空
+
+    // 设备相关错误码（补充）
+    int MCA_NOT_NULL = 10175; // mac地址不能为空
+
+    // 音色克隆（补充）
+    int VOICE_CLONE_NAME_NOT_NULL = 10181; // 音色克隆名称不能为空
+    int VOICE_CLONE_AUDIO_NOT_FOUND = 10182; // 音色克隆音频不存在
+
+    // 智能体模板相关错误码(补充)
+    int AGENT_TEMPLATE_NOT_FOUND = 10183; // 默认智能体未找到
+
+    // 知识库适配器相关错误码
+    int RAG_ADAPTER_TYPE_NOT_SUPPORTED = 10184; // 不支持的适配器类型
+    int RAG_CONFIG_VALIDATION_FAILED = 10185; // RAG配置验证失败
+    int RAG_ADAPTER_CREATION_FAILED = 10186; // 适配器创建失败
+    int RAG_ADAPTER_INIT_FAILED = 10187; // 适配器初始化失败
+    int RAG_ADAPTER_CONNECTION_FAILED = 10188; // 适配器连接测试失败
+    int RAG_ADAPTER_OPERATION_FAILED = 10189; // 适配器操作失败
+    int RAG_ADAPTER_NOT_FOUND = 10190; // 适配器未找到
+    int RAG_ADAPTER_CACHE_ERROR = 10191; // 适配器缓存错误
+    int RAG_ADAPTER_TYPE_NOT_FOUND = 10192; // 适配器类型未找到
+
 }
@@ -32,13 +32,23 @@ public class FieldMetaObjectHandler implements MetaObjectHandler {

        // 创建者
        strictInsertFill(metaObject, CREATOR, Long.class, user.getId());
-        // 创建时间
-        strictInsertFill(metaObject, CREATE_DATE, Date.class, date);
+        // 创建时间 - 支持createDate和createdAt两种字段名
+        if (metaObject.hasSetter(CREATE_DATE)) {
+            strictInsertFill(metaObject, CREATE_DATE, Date.class, date);
+        }
+        if (metaObject.hasSetter("createdAt")) {
+            strictInsertFill(metaObject, "createdAt", Date.class, date);
+        }

        // 更新者
        strictInsertFill(metaObject, UPDATER, Long.class, user.getId());
-        // 更新时间
-        strictInsertFill(metaObject, UPDATE_DATE, Date.class, date);
+        // 更新时间 - 支持updateDate和updatedAt两种字段名
+        if (metaObject.hasSetter(UPDATE_DATE)) {
+            strictInsertFill(metaObject, UPDATE_DATE, Date.class, date);
+        }
+        if (metaObject.hasSetter("updatedAt")) {
+            strictInsertFill(metaObject, "updatedAt", Date.class, date);
+        }

        // 数据标识
        strictInsertFill(metaObject, DATA_OPERATION, String.class, Constant.DataOperation.INSERT.getValue());
@@ -46,10 +56,17 @@ public class FieldMetaObjectHandler implements MetaObjectHandler {

    @Override
    public void updateFill(MetaObject metaObject) {
+        Date date = new Date();
+
        // 更新者
        strictUpdateFill(metaObject, UPDATER, Long.class, SecurityUser.getUserId());
-        // 更新时间
-        strictUpdateFill(metaObject, UPDATE_DATE, Date.class, new Date());
+        // 更新时间 - 支持updateDate和updatedAt两种字段名
+        if (metaObject.hasSetter(UPDATE_DATE)) {
+            strictUpdateFill(metaObject, UPDATE_DATE, Date.class, date);
+        }
+        if (metaObject.hasSetter("updatedAt")) {
+            strictUpdateFill(metaObject, "updatedAt", Date.class, date);
+        }

        // 数据标识
        strictInsertFill(metaObject, DATA_OPERATION, String.class, Constant.DataOperation.UPDATE.getValue());
@@ -146,4 +146,17 @@ public class RedisKeys {
        return "agent:chat:history:" + uuid;
    }

+    /**
+     * 获取音色克隆音频ID的缓存key
+     */
+    public static String getVoiceCloneAudioIdKey(String uuid) {
+        return "voiceClone:audio:id:" + uuid;
+    }
+
+    /**
+     * 获取知识库缓存key
+     */
+    public static String getKnowledgeBaseCacheKey(String datasetId) {
+        return "knowledge:base:" + datasetId;
+    }
 }
@@ -11,15 +11,15 @@ import org.springframework.context.i18n.LocaleContextHolder;
 public class MessageUtils {
    private static MessageSource messageSource;

-    static {
-        messageSource = (MessageSource) SpringContextUtils.getBean("messageSource");
-    }
-
    public static String getMessage(int code) {
        return getMessage(code, new String[0]);
    }

    public static String getMessage(int code, String... params) {
+        if (messageSource == null) {
+            // 延迟初始化，确保Spring上下文已完全初始化
+            messageSource = (MessageSource) SpringContextUtils.getBean("messageSource");
+        }
        return messageSource.getMessage(code + "", params, LocaleContextHolder.getLocale());
    }
 }
@@ -1,14 +1,15 @@
 package xiaozhi.common.utils;

-import cn.hutool.json.JSONObject;
-import org.apache.commons.lang3.StringUtils;
-
 import java.util.Arrays;
+import java.util.HashMap;
 import java.util.HashSet;
 import java.util.Map;
-import java.util.HashMap;
 import java.util.Set;

+import org.apache.commons.lang3.StringUtils;
+
+import cn.hutool.json.JSONObject;
+
 /**
 * 敏感数据处理工具类
 */
@@ -30,7 +31,7 @@ public class SensitiveDataUtils {
     * 隐藏字符串中间部分
     */
    public static String maskMiddle(String value) {
-        if (StringUtils.isBlank(value)) {
+        if (StringUtils.isBlank(value) || value.length() == 1) {
            return value;
        }

@@ -12,8 +12,6 @@ import java.util.UUID;

 import org.apache.commons.lang3.StringUtils;
 import org.apache.shiro.authz.annotation.RequiresPermissions;
-import org.slf4j.Logger;
-import org.slf4j.LoggerFactory;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PathVariable;
 import org.springframework.web.bind.annotation.PostMapping;
@@ -49,7 +47,6 @@ import xiaozhi.modules.security.user.SecurityUser;
@RestController
@RequestMapping("/agent/chat-history")
 public class AgentChatHistoryController {
-    private static final Logger logger = LoggerFactory.getLogger(AgentChatHistoryController.class);
    private final AgentChatHistoryBizService agentChatHistoryBizService;
    private final AgentChatHistoryService agentChatHistoryService;
    private final AgentService agentService;
@@ -142,14 +139,14 @@ public class AgentChatHistoryController {
        // 从Redis获取agentId和sessionId
        String agentSessionInfo = (String) redisUtils.get(RedisKeys.getChatHistoryKey(uuid));
        if (StringUtils.isBlank(agentSessionInfo)) {
-            throw new RenException("下载链接已过期或无效");
+            throw new RenException(ErrorCode.DOWNLOAD_LINK_EXPIRED);
        }

        try {
            // 解析agentId和sessionId
            String[] parts = agentSessionInfo.split(":");
            if (parts.length != 2) {
-                throw new RenException("下载链接无效");
+                throw new RenException(ErrorCode.DOWNLOAD_LINK_INVALID);
            }
            String agentId = parts[0];
            String sessionId = parts[1];
@@ -44,6 +44,7 @@ import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentTemplateEntity;
 import xiaozhi.modules.agent.service.AgentChatAudioService;
 import xiaozhi.modules.agent.service.AgentChatHistoryService;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.AgentTemplateService;
@@ -64,6 +65,7 @@ public class AgentController {
    private final AgentChatHistoryService agentChatHistoryService;
    private final AgentChatAudioService agentChatAudioService;
    private final AgentPluginMappingService agentPluginMappingService;
+    private final AgentContextProviderService agentContextProviderService;
    private final RedisUtils redisUtils;

    @GetMapping("/list")
@@ -135,6 +137,8 @@ public class AgentController {
        agentChatHistoryService.deleteByAgentId(id, true, true);
        // 删除关联的插件
        agentPluginMappingService.deleteByAgentId(id);
+        // 删除关联的上下文源配置
+        agentContextProviderService.deleteByAgentId(id);
        // 再删除智能体
        agentService.deleteById(id);
        return new Result<>();
@@ -0,0 +1,9 @@
+package xiaozhi.modules.agent.dao;
+
+import org.apache.ibatis.annotations.Mapper;
+import xiaozhi.common.dao.BaseDao;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
+
+@Mapper
+public interface AgentContextProviderDao extends BaseDao<AgentContextProviderEntity> {
+}
@@ -69,6 +69,9 @@ public class AgentUpdateDTO implements Serializable {
    @Schema(description = "排序", example = "1", nullable = true)
    private Integer sort;

+    @Schema(description = "上下文源配置", nullable = true)
+    private List<ContextProviderDTO> contextProviders;
+
    @Data
    @Schema(description = "插件函数信息")
    public static class FunctionInfo implements Serializable {
@@ -0,0 +1,19 @@
+package xiaozhi.modules.agent.dto;
+
+import java.io.Serializable;
+import java.util.Map;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+@Data
+@Schema(description = "上下文源配置DTO")
+public class ContextProviderDTO implements Serializable {
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "URL地址")
+    private String url;
+
+    @Schema(description = "请求头")
+    private Map<String, Object> headers;
+}
@@ -0,0 +1,43 @@
+package xiaozhi.modules.agent.entity;
+
+import java.util.Date;
+import java.util.List;
+
+import com.baomidou.mybatisplus.annotation.IdType;
+import com.baomidou.mybatisplus.annotation.TableField;
+import com.baomidou.mybatisplus.annotation.TableId;
+import com.baomidou.mybatisplus.annotation.TableName;
+import com.baomidou.mybatisplus.extension.handlers.JacksonTypeHandler;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+import xiaozhi.modules.agent.dto.ContextProviderDTO;
+
+@Data
+@TableName(value = "ai_agent_context_provider", autoResultMap = true)
+@Schema(description = "智能体上下文源配置")
+public class AgentContextProviderEntity {
+
+    @TableId(type = IdType.ASSIGN_UUID)
+    @Schema(description = "主键")
+    private String id;
+
+    @Schema(description = "智能体ID")
+    private String agentId;
+
+    @Schema(description = "上下文源配置")
+    @TableField(typeHandler = JacksonTypeHandler.class)
+    private List<ContextProviderDTO> contextProviders;
+
+    @Schema(description = "创建者")
+    private Long creator;
+
+    @Schema(description = "创建时间")
+    private Date createdAt;
+
+    @Schema(description = "更新者")
+    private Long updater;
+
+    @Schema(description = "更新时间")
+    private Date updatedAt;
+}
@@ -0,0 +1,25 @@
+package xiaozhi.modules.agent.service;
+
+import xiaozhi.common.service.BaseService;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
+
+public interface AgentContextProviderService extends BaseService<AgentContextProviderEntity> {
+    /**
+     * 根据智能体ID获取上下文源配置
+     * @param agentId 智能体ID
+     * @return 上下文源配置实体
+     */
+    AgentContextProviderEntity getByAgentId(String agentId);
+
+    /**
+     * 保存或更新上下文源配置
+     * @param entity 实体
+     */
+    void saveOrUpdateByAgentId(AgentContextProviderEntity entity);
+
+    /**
+     * 根据智能体ID删除上下文源配置
+     * @param agentId 智能体ID
+     */
+    void deleteByAgentId(String agentId);
+}
@@ -0,0 +1,35 @@
+package xiaozhi.modules.agent.service.impl;
+
+import org.springframework.stereotype.Service;
+
+import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
+
+import xiaozhi.common.service.impl.BaseServiceImpl;
+import xiaozhi.modules.agent.dao.AgentContextProviderDao;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
+
+@Service
+public class AgentContextProviderServiceImpl extends BaseServiceImpl<AgentContextProviderDao, AgentContextProviderEntity> implements AgentContextProviderService {
+
+    @Override
+    public AgentContextProviderEntity getByAgentId(String agentId) {
+        return baseDao.selectOne(new QueryWrapper<AgentContextProviderEntity>().eq("agent_id", agentId));
+    }
+
+    @Override
+    public void saveOrUpdateByAgentId(AgentContextProviderEntity entity) {
+        AgentContextProviderEntity exist = getByAgentId(entity.getAgentId());
+        if (exist != null) {
+            entity.setId(exist.getId());
+            updateById(entity);
+        } else {
+            insert(entity);
+        }
+    }
+
+    @Override
+    public void deleteByAgentId(String agentId) {
+        baseDao.delete(new QueryWrapper<AgentContextProviderEntity>().eq("agent_id", agentId));
+    }
+}
@@ -1,16 +1,26 @@
 package xiaozhi.modules.agent.service.impl;

+import java.util.ArrayList;
+import java.util.HashMap;
 import java.util.List;
+import java.util.Map;

+import org.apache.commons.lang3.StringUtils;
 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 lombok.extern.slf4j.Slf4j;
+import xiaozhi.common.utils.JsonUtils;
 import xiaozhi.modules.agent.dao.AgentPluginMappingMapper;
 import xiaozhi.modules.agent.entity.AgentPluginMapping;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
+import xiaozhi.modules.knowledge.entity.KnowledgeBaseEntity;
+import xiaozhi.modules.knowledge.service.KnowledgeBaseService;
+import xiaozhi.modules.model.entity.ModelConfigEntity;
+import xiaozhi.modules.model.service.ModelConfigService;

 /**
 * @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
@@ -18,13 +28,73 @@ import xiaozhi.modules.agent.service.AgentPluginMappingService;
 */
@Service
@RequiredArgsConstructor
+@Slf4j
 public class AgentPluginMappingServiceImpl extends ServiceImpl<AgentPluginMappingMapper, AgentPluginMapping>
        implements AgentPluginMappingService {
    private final AgentPluginMappingMapper agentPluginMappingMapper;
+    private final KnowledgeBaseService knowledgeBaseService;
+    private final ModelConfigService modelConfigService;

    @Override
    public List<AgentPluginMapping> agentPluginParamsByAgentId(String agentId) {
-        return agentPluginMappingMapper.selectPluginsByAgentId(agentId);
+        List<AgentPluginMapping> list = agentPluginMappingMapper.selectPluginsByAgentId(agentId);
+        Map<String, List<KnowledgeBaseEntity>> knowledgeBaseMap = new HashMap<>();
+        Map<String, ModelConfigEntity> modelConfigMap = new HashMap<>();
+        for (int i = list.size() - 1; i >= 0; i--) {
+            AgentPluginMapping mapping = list.get(i);
+            if (StringUtils.isBlank(mapping.getProviderCode())) {
+                // 查询知识库插件参数
+                KnowledgeBaseEntity knowledgeBaseEntity = knowledgeBaseService.selectById(mapping.getPluginId());
+                if (knowledgeBaseEntity == null) {
+                    list.remove(i);
+                    continue;
+                }
+                ModelConfigEntity modelConfigEntity = modelConfigService
+                        .getModelByIdFromCache(knowledgeBaseEntity.getRagModelId());
+                if (modelConfigEntity == null) {
+                    list.remove(i);
+                    continue;
+                }
+                List<KnowledgeBaseEntity> knowledgeBaseList = knowledgeBaseMap.get(modelConfigEntity.getModelCode());
+                if (knowledgeBaseList == null) {
+                    knowledgeBaseList = new ArrayList<>();
+                }
+                modelConfigMap.put(modelConfigEntity.getModelCode(), modelConfigEntity);
+                knowledgeBaseList.add(knowledgeBaseEntity);
+                knowledgeBaseMap.put(modelConfigEntity.getModelCode(), knowledgeBaseList);
+                list.remove(i);
+            }
+        }
+        if (knowledgeBaseMap.size() > 0) {
+            for (String pluginCode : knowledgeBaseMap.keySet()) {
+                List<KnowledgeBaseEntity> knowledgeBaseList = knowledgeBaseMap.get(pluginCode);
+                if (knowledgeBaseList == null || knowledgeBaseList.isEmpty()) {
+                    continue;
+                }
+
+                AgentPluginMapping agentPluginMapping = new AgentPluginMapping();
+                agentPluginMapping.setAgentId(agentId);
+                agentPluginMapping.setPluginId(pluginCode);
+                agentPluginMapping.setProviderCode("search_from_" + pluginCode);
+                agentPluginMapping.setId(Long.valueOf(list.size() + 1));
+
+                Map<String, Object> paramInfo = new HashMap<>(4);
+                ModelConfigEntity modelConfigEntity = modelConfigMap.get(pluginCode);
+                paramInfo.put("base_url", modelConfigEntity.getConfigJson().getStr("base_url"));
+                paramInfo.put("api_key", modelConfigEntity.getConfigJson().getStr("api_key"));
+                paramInfo.put("dataset_ids",
+                        knowledgeBaseList.stream().map(KnowledgeBaseEntity::getDatasetId).toList());
+
+                String description = "如果用户询问与【"
+                        + String.join(",", knowledgeBaseList.stream().map(KnowledgeBaseEntity::getName).toList())
+                        + "】涵盖的主体范围相关内容时应调用本方法，用于查询：" + String.join(",",
+                                knowledgeBaseList.stream().map(KnowledgeBaseEntity::getDescription).toList());
+                paramInfo.put("description", description);
+                agentPluginMapping.setParamInfo(JsonUtils.toJsonString(paramInfo));
+                list.add(agentPluginMapping);
+            }
+        }
+        return list;
    }

    @Override
@@ -32,16 +32,19 @@ import xiaozhi.modules.agent.dao.AgentDao;
 import xiaozhi.modules.agent.dto.AgentCreateDTO;
 import xiaozhi.modules.agent.dto.AgentDTO;
 import xiaozhi.modules.agent.dto.AgentUpdateDTO;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
 import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentPluginMapping;
 import xiaozhi.modules.agent.entity.AgentTemplateEntity;
 import xiaozhi.modules.agent.service.AgentChatHistoryService;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.AgentTemplateService;
 import xiaozhi.modules.agent.vo.AgentInfoVO;
 import xiaozhi.modules.device.service.DeviceService;
 import xiaozhi.modules.model.dto.ModelProviderDTO;
+import xiaozhi.modules.model.dto.VoiceDTO;
 import xiaozhi.modules.model.entity.ModelConfigEntity;
 import xiaozhi.modules.model.service.ModelConfigService;
 import xiaozhi.modules.model.service.ModelProviderService;
@@ -61,6 +64,7 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
    private final AgentChatHistoryService agentChatHistoryService;
    private final AgentTemplateService agentTemplateService;
    private final ModelProviderService modelProviderService;
+    private final AgentContextProviderService agentContextProviderService;

    @Override
    public PageData<AgentEntity> adminAgentList(Map<String, Object> params) {
@@ -84,6 +88,13 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
                agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode());
            }
        }
+        
+        // 查询上下文源配置
+        AgentContextProviderEntity contextProviderEntity = agentContextProviderService.getByAgentId(id);
+        if (contextProviderEntity != null) {
+            agent.setContextProviders(contextProviderEntity.getContextProviders());
+        }
+        
        // 无需额外查询插件列表，已通过SQL查询出来
        return agent;
    }
@@ -330,6 +341,14 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
            agentChatHistoryService.deleteByAgentId(existingEntity.getId(), true, false);
        }

+        // 更新上下文源配置
+        if (dto.getContextProviders() != null) {
+            AgentContextProviderEntity contextEntity = new AgentContextProviderEntity();
+            contextEntity.setAgentId(agentId);
+            contextEntity.setContextProviders(dto.getContextProviders());
+            agentContextProviderService.saveOrUpdateByAgentId(contextEntity);
+        }
+
        boolean b = validateLLMIntentParams(dto.getLlmModelId(), dto.getIntentModelId());
        if (!b) {
            throw new RenException(ErrorCode.LLM_INTENT_PARAMS_MISMATCH);
@@ -373,12 +392,41 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
            entity.setLlmModelId(template.getLlmModelId());
            entity.setVllmModelId(template.getVllmModelId());
            entity.setTtsModelId(template.getTtsModelId());
+
+            if (template.getTtsVoiceId() == null && template.getTtsModelId() != null) {
+                ModelConfigEntity ttsModel = modelConfigService.selectById(template.getTtsModelId());
+                if (ttsModel != null && ttsModel.getConfigJson() != null) {
+                    Map<String, Object> config = ttsModel.getConfigJson();
+                    String voice = (String) config.get("voice");
+                    if (StringUtils.isBlank(voice)) {
+                        voice = (String) config.get("speaker");
+                    }
+                    VoiceDTO timbre = timbreModelService.getByVoiceCode(template.getTtsModelId(), voice);
+                    if (timbre != null) {
+                        template.setTtsVoiceId(timbre.getId());
+                    }
+                }
+            }
+
            entity.setTtsVoiceId(template.getTtsVoiceId());
            entity.setMemModelId(template.getMemModelId());
            entity.setIntentModelId(template.getIntentModelId());
            entity.setSystemPrompt(template.getSystemPrompt());
            entity.setSummaryMemory(template.getSummaryMemory());
-            entity.setChatHistoryConf(template.getChatHistoryConf());
+
+            // 根据记忆模型类型设置默认的chatHistoryConf值
+            if (template.getMemModelId() != null) {
+                if (template.getMemModelId().equals("Memory_nomem")) {
+                    // 无记忆功能的模型，默认不记录聊天记录
+                    entity.setChatHistoryConf(0);
+                } else {
+                    // 有记忆功能的模型，默认记录文本和语音
+                    entity.setChatHistoryConf(2);
+                }
+            } else {
+                entity.setChatHistoryConf(template.getChatHistoryConf());
+            }
+
            entity.setLangCode(template.getLangCode());
            entity.setLanguage(template.getLanguage());
        }
@@ -45,6 +45,10 @@ public class AgentTemplateServiceImpl extends ServiceImpl<AgentTemplateDao, Agen
    @Override
    public void updateDefaultTemplateModelId(String modelType, String modelId) {
        modelType = modelType.toUpperCase();
+        // 如果是rag模型，不需要更新
+        if (modelType.equals("RAG")) {
+            return;
+        }

        UpdateWrapper<AgentTemplateEntity> wrapper = new UpdateWrapper<>();
        switch (modelType) {
@@ -5,6 +5,7 @@ import com.baomidou.mybatisplus.extension.handlers.JacksonTypeHandler;
 import io.swagger.v3.oas.annotations.media.Schema;
 import lombok.Data;
 import lombok.EqualsAndHashCode;
+import xiaozhi.modules.agent.dto.ContextProviderDTO;
 import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentPluginMapping;

@@ -21,4 +22,7 @@ public class AgentInfoVO extends AgentEntity
    @Schema(description = "插件列表Id")
    @TableField(typeHandler = JacksonTypeHandler.class)
    private List<AgentPluginMapping> functions;
+
+    @Schema(description = "上下文源配置")
+    private List<ContextProviderDTO> contextProviders;
 }
@@ -20,10 +20,12 @@ import xiaozhi.common.redis.RedisUtils;
 import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.JsonUtils;
 import xiaozhi.modules.agent.dao.AgentVoicePrintDao;
+import xiaozhi.modules.agent.entity.AgentContextProviderEntity;
 import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.entity.AgentPluginMapping;
 import xiaozhi.modules.agent.entity.AgentTemplateEntity;
 import xiaozhi.modules.agent.entity.AgentVoicePrintEntity;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
 import xiaozhi.modules.agent.service.AgentMcpAccessPointService;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
@@ -38,6 +40,8 @@ import xiaozhi.modules.sys.dto.SysParamsDTO;
 import xiaozhi.modules.sys.service.SysParamsService;
 import xiaozhi.modules.timbre.service.TimbreService;
 import xiaozhi.modules.timbre.vo.TimbreDetailsVO;
+import xiaozhi.modules.voiceclone.entity.VoiceCloneEntity;
+import xiaozhi.modules.voiceclone.service.VoiceCloneService;

@Service
@AllArgsConstructor
@@ -51,6 +55,8 @@ public class ConfigServiceImpl implements ConfigService {
    private final TimbreService timbreService;
    private final AgentPluginMappingService agentPluginMappingService;
    private final AgentMcpAccessPointService agentMcpAccessPointService;
+    private final AgentContextProviderService agentContextProviderService;
+    private final VoiceCloneService cloneVoiceService;
    private final AgentVoicePrintDao agentVoicePrintDao;

    @Override
@@ -70,7 +76,7 @@ public class ConfigServiceImpl implements ConfigService {
        // 查询默认智能体
        AgentTemplateEntity agent = agentTemplateService.getDefaultTemplate();
        if (agent == null) {
-            throw new RenException("默认智能体未找到");
+            throw new RenException(ErrorCode.AGENT_TEMPLATE_NOT_FOUND);
        }

        // 构建模块配置
@@ -88,6 +94,7 @@ public class ConfigServiceImpl implements ConfigService {
                null,
                null,
                null,
+                null,
                result,
                isCache);

@@ -107,13 +114,13 @@ public class ConfigServiceImpl implements ConfigService {
            if (StringUtils.isNotBlank(cachedCode)) {
                throw new RenException(ErrorCode.OTA_DEVICE_NEED_BIND, cachedCode);
            }
-            throw new RenException(ErrorCode.OTA_DEVICE_NOT_FOUND, "not found device");
+            throw new RenException(ErrorCode.OTA_DEVICE_NOT_FOUND);
        }

        // 获取智能体信息
        AgentEntity agent = agentService.getAgentById(device.getAgentId());
        if (agent == null) {
-            throw new RenException("智能体未找到");
+            throw new RenException(ErrorCode.AGENT_NOT_FOUND);
        }
        // 获取音色信息
        String voice = null;
@@ -124,6 +131,11 @@ public class ConfigServiceImpl implements ConfigService {
            voice = timbre.getTtsVoice();
            referenceAudio = timbre.getReferenceAudio();
            referenceText = timbre.getReferenceText();
+        } else {
+            VoiceCloneEntity voice_print = cloneVoiceService.selectById(agent.getTtsVoiceId());
+            if (voice_print != null) {
+                voice = voice_print.getVoiceId();
+            }
        }
        // 构建返回数据
        Map<String, Object> result = new HashMap<>();
@@ -169,6 +181,13 @@ public class ConfigServiceImpl implements ConfigService {
            mcpEndpoint = mcpEndpoint.replace("/mcp/", "/call/");
            result.put("mcp_endpoint", mcpEndpoint);
        }
+        
+        // 获取上下文源配置
+        AgentContextProviderEntity contextProviderEntity = agentContextProviderService.getByAgentId(agent.getId());
+        if (contextProviderEntity != null && contextProviderEntity.getContextProviders() != null && !contextProviderEntity.getContextProviders().isEmpty()) {
+            result.put("context_providers", contextProviderEntity.getContextProviders());
+        }
+
        // 获取声纹信息
        buildVoiceprintConfig(agent.getId(), result);

@@ -187,6 +206,7 @@ public class ConfigServiceImpl implements ConfigService {
                agent.getTtsModelId(),
                agent.getMemModelId(),
                agent.getIntentModelId(),
+                null,
                result,
                true);

@@ -298,7 +318,7 @@ public class ConfigServiceImpl implements ConfigService {
            Map<String, Object> voiceprintConfig = new HashMap<>();
            voiceprintConfig.put("url", voiceprintUrl);
            voiceprintConfig.put("speakers", speakers);
-            
+
            // 获取声纹识别相似度阈值，默认0.4
            String thresholdStr = sysParamsService.getValue("server.voiceprint_similarity_threshold", true);
            if (StringUtils.isNotBlank(thresholdStr) && !"null".equals(thresholdStr)) {
@@ -350,7 +370,7 @@ public class ConfigServiceImpl implements ConfigService {
     * @param result         结果Map
     */
    private void buildModuleConfig(
-            String assistantName, 
+            String assistantName,
            String prompt,
            String summaryMemory,
            String voice,
@@ -363,21 +383,23 @@ public class ConfigServiceImpl implements ConfigService {
            String ttsModelId,
            String memModelId,
            String intentModelId,
+            String ragModelId,
            Map<String, Object> result,
            boolean isCache) {
        Map<String, String> selectedModule = new HashMap<>();
-    
-        String[] modelTypes = { "VAD", "ASR", "TTS", "Memory", "Intent", "LLM", "VLLM" };
-        String[] modelIds = { vadModelId, asrModelId, ttsModelId, memModelId, intentModelId, llmModelId, vllmModelId };
+
+        String[] modelTypes = { "VAD", "ASR", "TTS", "Memory", "Intent", "LLM", "VLLM", "RAG" };
+        String[] modelIds = { vadModelId, asrModelId, ttsModelId, memModelId, intentModelId, llmModelId, vllmModelId,
+                ragModelId };
        String intentLLMModelId = null;
        String memLocalShortLLMModelId = null;
-    
+
        for (int i = 0; i < modelIds.length; i++) {
            if (modelIds[i] == null) {
                continue;
            }
            // 关键：第三个参数传false，确保获取原始密钥
-            ModelConfigEntity model = modelConfigService.getModelById(modelIds[i], isCache, false);
+            ModelConfigEntity model = modelConfigService.getModelByIdFromCache(modelIds[i]);
            if (model == null) {
                continue;
            }
@@ -392,6 +414,15 @@ public class ConfigServiceImpl implements ConfigService {
                        ((Map<String, Object>) model.getConfigJson()).put("ref_audio", referenceAudio);
                    if (referenceText != null)
                        ((Map<String, Object>) model.getConfigJson()).put("ref_text", referenceText);
+
+                    // 火山引擎声音克隆需要替换resource_id
+                    Map<String, Object> map = (Map<String, Object>) model.getConfigJson();
+                    if (Constant.VOICE_CLONE_HUOSHAN_DOUBLE_STREAM.equals(map.get("type"))) {
+                        // 如果voice是”S_“开头的，使用seed-icl-1.0
+                        if (voice != null && voice.startsWith("S_")) {
+                            map.put("resource_id", "seed-icl-1.0");
+                        }
+                    }
                }
                // 如果是Intent类型，且type=intent_llm，则给他添加附加模型
                if ("Intent".equals(modelTypes[i])) {
@@ -426,7 +457,7 @@ public class ConfigServiceImpl implements ConfigService {
                    if (StringUtils.isNotBlank(intentLLMModelId)) {
                        if (!typeConfig.containsKey(intentLLMModelId)) {
                            // 修改这里：添加isMaskSensitive=false参数
-                            ModelConfigEntity intentLLM = modelConfigService.getModelById(intentLLMModelId, isCache, false);
+                            ModelConfigEntity intentLLM = modelConfigService.getModelByIdFromCache(intentLLMModelId);
                            typeConfig.put(intentLLM.getId(), intentLLM.getConfigJson());
                        }
                    }
@@ -434,7 +465,7 @@ public class ConfigServiceImpl implements ConfigService {
                        if (!typeConfig.containsKey(memLocalShortLLMModelId)) {
                            // 修改这里：添加isMaskSensitive=false参数
                            ModelConfigEntity memLocalShortLLM = modelConfigService
-                                    .getModelById(memLocalShortLLMModelId, isCache, false);
+                                    .getModelByIdFromCache(memLocalShortLLMModelId);
                            typeConfig.put(memLocalShortLLM.getId(), memLocalShortLLM.getConfigJson());
                        }
                    }
@@ -69,13 +69,15 @@ public class DeviceController {
    public Result<String> registerDevice(@RequestBody DeviceRegisterDTO deviceRegisterDTO) {
        String macAddress = deviceRegisterDTO.getMacAddress();
        if (StringUtils.isBlank(macAddress)) {
-            return new Result<String>().error(ErrorCode.NOT_NULL, "mac地址不能为空");
+            return new Result<String>().error(ErrorCode.MCA_NOT_NULL);
        }
        // 生成六位验证码
-        String code = String.valueOf(Math.random()).substring(2, 8);
-        String key = RedisKeys.getDeviceCaptchaKey(code);
+        String code;
+        String key;
        String existsMac = null;
        do {
+            code = String.valueOf(Math.random()).substring(2, 8);
+            key = RedisKeys.getDeviceCaptchaKey(code);
            existsMac = (String) redisUtils.get(key);
        } while (StringUtils.isNotBlank(existsMac));

@@ -93,7 +95,7 @@ public class DeviceController {
    }

    @PostMapping("/bind/{agentId}")
-    @Operation(summary = "转发POST请求到MQTT网关")
+    @Operation(summary = "设备在线接口")
    @RequiresPermissions("sys:role:normal")
    public Result<String> forwardToMqttGateway(@PathVariable String agentId, @RequestBody String requestBody) {
        try {
@@ -208,63 +210,4 @@ public class DeviceController {
        deviceService.manualAddDevice(user.getId(), dto);
        return new Result<>();
    }
-
-    @PostMapping("/commands/{deviceId}")
-    @Operation(summary = "发送设备指令")
-    @RequiresPermissions("sys:role:normal")
-    public Result<String> sendDeviceCommand(@PathVariable String deviceId, @RequestBody String command) {
-        try {
-            // 从系统参数中获取MQTT网关地址
-            String mqttGatewayUrl = sysParamsService.getValue("server.mqtt_manager_api", true);
-            if (StringUtils.isBlank(mqttGatewayUrl) || "null".equals(mqttGatewayUrl)) {
-                return new Result<String>().error("MQTT网关地址未配置");
-            }
-
-            // 构建完整的URL
-            // 获取设备信息以构建mqttClientId
-            DeviceEntity deviceById = deviceService.selectById(deviceId);
-
-            if (!deviceById.getUserId().equals(SecurityUser.getUser().getId())) {
-                return new Result<String>().error("设备不存在");
-            }
-            String macAddress = deviceById != null ? deviceById.getMacAddress() : "unknown";
-            String groupId = deviceById != null ? deviceById.getBoard() : null;
-            if (groupId == null) {
-                groupId = "GID_default";
-            }
-            groupId = groupId.replace(":", "_");
-            macAddress = macAddress.replace(":", "_");
-
-            // 拼接为groupId@@@macAddress@@@deviceId格式
-            String mqttClientId = groupId + "@@@" + macAddress + "@@@" + macAddress;
-
-            String url = "http://" + mqttGatewayUrl + "/api/commands/" + mqttClientId;
-
-            // 设置请求头
-            HttpHeaders headers = new HttpHeaders();
-            headers.set("Content-Type", "application/json");
-
-            // 生成Bearer令牌
-            String dateStr = java.time.LocalDate.now()
-                    .format(java.time.format.DateTimeFormatter.ofPattern("yyyy-MM-dd"));
-            String signatureKey = sysParamsService.getValue("server.mqtt_signature_key", false);
-            if (StringUtils.isBlank(signatureKey)) {
-                return new Result<String>().error("MQTT签名密钥未配置");
-            }
-            String tokenContent = dateStr + signatureKey;
-            String token = org.apache.commons.codec.digest.DigestUtils.sha256Hex(tokenContent);
-            headers.set("Authorization", "Bearer " + token);
-
-            // 构建请求体
-            HttpEntity<String> requestEntity = new HttpEntity<>(command, headers);
-
-            // 发送POST请求
-            ResponseEntity<String> response = restTemplate.exchange(url, HttpMethod.POST, requestEntity, String.class);
-
-            // 返回响应
-            return new Result<String>().ok(response.getBody());
-        } catch (Exception e) {
-            return new Result<String>().error("发送指令失败: " + e.getMessage());
-        }
-    }
 }
@@ -19,7 +19,7 @@ public class DeviceReportRespDTO {

    @Schema(description = "固件版本信息")
    private Firmware firmware;
-    
+
    @Schema(description = "WebSocket配置")
    private Websocket websocket;

@@ -66,12 +66,14 @@ public class DeviceReportRespDTO {
        @Schema(description = "时区偏移量，单位为分钟")
        private Integer timezone_offset;
    }
-    
+
    @Getter
    @Setter
    public static class Websocket {
        @Schema(description = "WebSocket服务器地址")
        private String url;
+        @Schema(description = "WebSocket 认证 token")
+        private String token;
    }

    @Getter
@@ -1,6 +1,8 @@
 package xiaozhi.modules.device.service.impl;

 import java.nio.charset.StandardCharsets;
+import java.security.InvalidKeyException;
+import java.security.NoSuchAlgorithmException;
 import java.time.Instant;
 import java.util.Base64;
 import java.util.Date;
@@ -169,6 +171,22 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
        DeviceReportRespDTO.Websocket websocket = new DeviceReportRespDTO.Websocket();
        // 从系统参数获取WebSocket URL，如果未配置则使用默认值
        String wsUrl = sysParamsService.getValue(Constant.SERVER_WEBSOCKET, true);
+
+        // 检查是否启用认证并生成token
+        String authEnabled = sysParamsService.getValue(Constant.SERVER_AUTH_ENABLED, true);
+        if ("true".equalsIgnoreCase(authEnabled)) {
+            try {
+                // 生成token
+                String token = generateWebSocketToken(clientId, macAddress);
+                websocket.setToken(token);
+            } catch (Exception e) {
+                log.error("生成WebSocket token失败: {}", e.getMessage());
+                websocket.setToken("");
+            }
+        } else {
+            websocket.setToken("");
+        }
+
        if (StringUtils.isBlank(wsUrl) || wsUrl.equals("null")) {
            log.error("WebSocket地址未配置，请登录智控台，在参数管理找到【server.websocket】配置");
            wsUrl = "ws://xiaozhi.server.com:8000/xiaozhi/v1/";
@@ -188,7 +206,7 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>

        // 添加MQTT UDP配置
        // 从系统参数获取MQTT Gateway地址，仅在配置有效时使用
-        String mqttUdpConfig = sysParamsService.getValue(Constant.SERVER_MQTT_GATEWAY, false);
+        String mqttUdpConfig = sysParamsService.getValue(Constant.SERVER_MQTT_GATEWAY, true);
        if (mqttUdpConfig != null && !mqttUdpConfig.equals("null") && !mqttUdpConfig.isEmpty()) {
            try {
                String groupId = deviceById != null && deviceById.getBoard() != null ? deviceById.getBoard()
@@ -493,6 +511,40 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
        return Base64.getEncoder().encodeToString(signature);
    }

+    /**
+     * 生成WebSocket认证token 遵循Python端AuthManager的实现逻辑：token = signature.timestamp
+     * 
+     * @param clientId 客户端ID
+     * @param username 用户名 (通常为deviceId/macAddress)
+     * @return 认证token字符串
+     */
+    private String generateWebSocketToken(String clientId, String username)
+            throws NoSuchAlgorithmException, InvalidKeyException {
+        // 从系统参数获取密钥
+        String secretKey = sysParamsService.getValue(Constant.SERVER_SECRET, false);
+        if (StringUtils.isBlank(secretKey)) {
+            throw new IllegalStateException("WebSocket认证密钥未配置(server.secret)");
+        }
+
+        // 获取当前时间戳(秒)
+        long timestamp = System.currentTimeMillis() / 1000;
+
+        // 构建签名内容: clientId|username|timestamp
+        String content = String.format("%s|%s|%d", clientId, username, timestamp);
+
+        // 生成HMAC-SHA256签名
+        Mac hmac = Mac.getInstance("HmacSHA256");
+        SecretKeySpec keySpec = new SecretKeySpec(secretKey.getBytes(StandardCharsets.UTF_8), "HmacSHA256");
+        hmac.init(keySpec);
+        byte[] signature = hmac.doFinal(content.getBytes(StandardCharsets.UTF_8));
+
+        // Base64 URL-safe编码签名(去除填充符=)
+        String signatureBase64 = Base64.getUrlEncoder().withoutPadding().encodeToString(signature);
+
+        // 返回格式: signature.timestamp
+        return String.format("%s.%d", signatureBase64, timestamp);
+    }
+
    /**
     * 构建MQTT配置信息
     * 
@@ -503,7 +555,7 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
    private DeviceReportRespDTO.MQTT buildMqttConfig(String macAddress, String groupId)
            throws Exception {
        // 从环境变量或系统参数获取签名密钥
-        String signatureKey = sysParamsService.getValue("server.mqtt_signature_key", false);
+        String signatureKey = sysParamsService.getValue("server.mqtt_signature_key", true);
        if (StringUtils.isBlank(signatureKey)) {
            log.warn("缺少MQTT_SIGNATURE_KEY，跳过MQTT配置生成");
            return null;
@@ -0,0 +1,22 @@
+package xiaozhi.modules.knowledge.config;
+
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import xiaozhi.modules.knowledge.rag.KnowledgeBaseAdapterFactory;
+
+/**
+ * 知识库配置类
+ * 配置知识库相关的Bean
+ */
+@Configuration
+public class KnowledgeBaseConfig {
+
+    /**
+     * 提供KnowledgeBaseAdapterFactory的Bean实例
+     * @return KnowledgeBaseAdapterFactory实例
+     */
+    @Bean
+    public KnowledgeBaseAdapterFactory knowledgeBaseAdapterFactory() {
+        return new KnowledgeBaseAdapterFactory();
+    }
+}
@@ -0,0 +1,159 @@
+package xiaozhi.modules.knowledge.controller;
+
+import java.util.List;
+import java.util.Map;
+
+import org.apache.commons.lang3.StringUtils;
+import org.apache.shiro.authz.annotation.RequiresPermissions;
+import org.springframework.validation.annotation.Validated;
+import org.springframework.web.bind.annotation.DeleteMapping;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.PutMapping;
+import org.springframework.web.bind.annotation.RequestBody;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.AllArgsConstructor;
+import xiaozhi.common.exception.ErrorCode;
+import xiaozhi.common.exception.RenException;
+import xiaozhi.common.page.PageData;
+import xiaozhi.common.utils.Result;
+import xiaozhi.modules.knowledge.dto.KnowledgeBaseDTO;
+import xiaozhi.modules.knowledge.service.KnowledgeBaseService;
+import xiaozhi.modules.security.user.SecurityUser;
+
+@AllArgsConstructor
+@RestController
+@RequestMapping("/datasets")
+@Tag(name = "知识库管理")
+public class KnowledgeBaseController {
+
+    private final KnowledgeBaseService knowledgeBaseService;
+
+    @GetMapping
+    @Operation(summary = "分页查询知识库列表")
+    @RequiresPermissions("sys:role:normal")
+    public Result<PageData<KnowledgeBaseDTO>> getPageList(
+            @RequestParam(required = false) String name,
+            @RequestParam(required = false, defaultValue = "1") Integer page,
+            @RequestParam(required = false, defaultValue = "10") Integer page_size) {
+        // 获取当前登录用户ID
+        Long currentUserId = SecurityUser.getUserId();
+
+        KnowledgeBaseDTO knowledgeBaseDTO = new KnowledgeBaseDTO();
+        knowledgeBaseDTO.setName(name);
+        knowledgeBaseDTO.setCreator(currentUserId); // 设置创建者ID，用于权限过滤
+
+        PageData<KnowledgeBaseDTO> pageData = knowledgeBaseService.getPageList(knowledgeBaseDTO, page, page_size);
+        return new Result<PageData<KnowledgeBaseDTO>>().ok(pageData);
+    }
+
+    @GetMapping("/{dataset_id}")
+    @Operation(summary = "根据知识库ID获取知识库详情")
+    @RequiresPermissions("sys:role:normal")
+    public Result<KnowledgeBaseDTO> getByDatasetId(@PathVariable("dataset_id") String datasetId) {
+        // 获取当前登录用户ID
+        Long currentUserId = SecurityUser.getUserId();
+
+        KnowledgeBaseDTO knowledgeBaseDTO = knowledgeBaseService.getByDatasetId(datasetId);
+
+        // 检查权限：用户只能查看自己创建的知识库
+        if (knowledgeBaseDTO.getCreator() == null || !knowledgeBaseDTO.getCreator().equals(currentUserId)) {
+            throw new RenException(ErrorCode.NO_PERMISSION);
+        }
+
+        return new Result<KnowledgeBaseDTO>().ok(knowledgeBaseDTO);
+    }
+
+    @PostMapping
+    @Operation(summary = "创建知识库")
+    @RequiresPermissions("sys:role:normal")
+    public Result<KnowledgeBaseDTO> save(@RequestBody @Validated KnowledgeBaseDTO knowledgeBaseDTO) {
+        KnowledgeBaseDTO resp = knowledgeBaseService.save(knowledgeBaseDTO);
+        return new Result<KnowledgeBaseDTO>().ok(resp);
+    }
+
+    @PutMapping("/{dataset_id}")
+    @Operation(summary = "更新知识库")
+    @RequiresPermissions("sys:role:normal")
+    public Result<KnowledgeBaseDTO> update(@PathVariable("dataset_id") String datasetId,
+            @RequestBody @Validated KnowledgeBaseDTO knowledgeBaseDTO) {
+        // 获取当前登录用户ID
+        Long currentUserId = SecurityUser.getUserId();
+
+        // 先获取现有知识库信息以检查权限
+        KnowledgeBaseDTO existingKnowledgeBase = knowledgeBaseService.getByDatasetId(datasetId);
+
+        // 检查权限：用户只能更新自己创建的知识库
+        if (existingKnowledgeBase.getCreator() == null || !existingKnowledgeBase.getCreator().equals(currentUserId)) {
+            throw new RenException(ErrorCode.NO_PERMISSION);
+        }
+
+        knowledgeBaseDTO.setDatasetId(datasetId);
+        KnowledgeBaseDTO resp = knowledgeBaseService.update(knowledgeBaseDTO);
+        return new Result<KnowledgeBaseDTO>().ok(resp);
+    }
+
+    @DeleteMapping("/{dataset_id}")
+    @Operation(summary = "删除单个知识库")
+    @Parameter(name = "dataset_id", description = "知识库ID", required = true)
+    @RequiresPermissions("sys:role:normal")
+    public Result<Void> delete(@PathVariable("dataset_id") String datasetId) {
+        // 获取当前登录用户ID
+        Long currentUserId = SecurityUser.getUserId();
+
+        // 先获取现有知识库信息以检查权限
+        KnowledgeBaseDTO existingKnowledgeBase = knowledgeBaseService.getByDatasetId(datasetId);
+
+        // 检查权限：用户只能删除自己创建的知识库
+        if (existingKnowledgeBase.getCreator() == null || !existingKnowledgeBase.getCreator().equals(currentUserId)) {
+            throw new RenException(ErrorCode.NO_PERMISSION);
+        }
+
+        knowledgeBaseService.deleteByDatasetId(datasetId);
+        return new Result<>();
+    }
+
+    @DeleteMapping("/batch")
+    @Operation(summary = "批量删除知识库")
+    @Parameter(name = "ids", description = "知识库ID列表，用逗号分隔", required = true)
+    @RequiresPermissions("sys:role:normal")
+    public Result<Void> deleteBatch(@RequestParam("ids") String ids) {
+        if (StringUtils.isBlank(ids)) {
+            throw new RenException(ErrorCode.PARAMS_GET_ERROR);
+        }
+
+        // 获取当前登录用户ID
+        Long currentUserId = SecurityUser.getUserId();
+        String[] idArray = ids.split(",");
+        for (String datasetId : idArray) {
+            if (StringUtils.isNotBlank(datasetId)) {
+                // 先获取现有知识库信息以检查权限
+                KnowledgeBaseDTO existingKnowledgeBase = knowledgeBaseService.getByDatasetId(datasetId.trim());
+
+                // 检查权限：用户只能删除自己创建的知识库
+                if (existingKnowledgeBase.getCreator() == null
+                        || !existingKnowledgeBase.getCreator().equals(currentUserId)) {
+                    throw new RenException(ErrorCode.NO_PERMISSION);
+                }
+
+                knowledgeBaseService.deleteByDatasetId(datasetId.trim());
+            }
+        }
+        return new Result<>();
+    }
+
+    @GetMapping("/rag-models")
+    @Operation(summary = "获取RAG模型列表")
+    @RequiresPermissions("sys:role:normal")
+    public Result<List<Map<String, Object>>> getRAGModels() {
+        List<Map<String, Object>> result = knowledgeBaseService.getRAGModels();
+        return new Result<List<Map<String, Object>>>().ok(result);
+    }
+}
@@ -0,0 +1,224 @@
+package xiaozhi.modules.knowledge.controller;
+
+import java.util.List;
+import java.util.Map;
+
+import org.apache.shiro.authz.annotation.RequiresPermissions;
+import org.springframework.web.bind.annotation.*;
+import org.springframework.web.multipart.MultipartFile;
+
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.AllArgsConstructor;
+import xiaozhi.common.exception.ErrorCode;
+import xiaozhi.common.exception.RenException;
+import xiaozhi.common.page.PageData;
+import xiaozhi.common.utils.Result;
+import xiaozhi.modules.knowledge.dto.KnowledgeBaseDTO;
+import xiaozhi.modules.knowledge.dto.KnowledgeFilesDTO;
+import xiaozhi.modules.knowledge.service.KnowledgeBaseService;
+import xiaozhi.modules.knowledge.service.KnowledgeFilesService;
+import xiaozhi.modules.security.user.SecurityUser;
+
+@AllArgsConstructor
+@RestController
+@RequestMapping("/datasets/{dataset_id}")
+@Tag(name = "知识库文档管理")
+public class KnowledgeFilesController {
+
+    private final KnowledgeFilesService knowledgeFilesService;
+    private final KnowledgeBaseService knowledgeBaseService;
+
+    /**
+     * 验证当前用户是否有权限操作指定知识库
+     * 
+     * @param datasetId 知识库ID
+     */
+    private void validateKnowledgeBasePermission(String datasetId) {
+        // 获取当前登录用户ID
+        Long currentUserId = SecurityUser.getUserId();
+
+        // 获取知识库信息
+        KnowledgeBaseDTO knowledgeBase = knowledgeBaseService.getByDatasetId(datasetId);
+
+        // 检查权限：用户只能操作自己创建的知识库
+        if (knowledgeBase.getCreator() == null || !knowledgeBase.getCreator().equals(currentUserId)) {
+            throw new RenException(ErrorCode.NO_PERMISSION);
+        }
+    }
+
+    @GetMapping("/documents")
+    @Operation(summary = "分页查询文档列表")
+    @RequiresPermissions("sys:role:normal")
+    public Result<PageData<KnowledgeFilesDTO>> getPageList(
+            @PathVariable("dataset_id") String datasetId,
+            @RequestParam(required = false) String name,
+            @RequestParam(required = false) Integer status,
+            @RequestParam(required = false, defaultValue = "1") Integer page,
+            @RequestParam(required = false, defaultValue = "10") Integer page_size) {
+        // 验证知识库权限
+        validateKnowledgeBasePermission(datasetId);
+
+        // 如果指定了状态参数，使用状态查询接口
+        if (status != null) {
+            PageData<KnowledgeFilesDTO> pageData = knowledgeFilesService.getPageListByStatus(datasetId, status, page, page_size);
+            return new Result<PageData<KnowledgeFilesDTO>>().ok(pageData);
+        }
+
+        // 否则使用通用查询接口
+        KnowledgeFilesDTO knowledgeFilesDTO = new KnowledgeFilesDTO();
+        knowledgeFilesDTO.setDatasetId(datasetId);
+        knowledgeFilesDTO.setName(name);
+        PageData<KnowledgeFilesDTO> pageData = knowledgeFilesService.getPageList(knowledgeFilesDTO, page, page_size);
+        return new Result<PageData<KnowledgeFilesDTO>>().ok(pageData);
+    }
+
+    @GetMapping("/documents/status/{status}")
+    @Operation(summary = "根据状态分页查询文档列表")
+    @RequiresPermissions("sys:role:normal")
+    public Result<PageData<KnowledgeFilesDTO>> getPageListByStatus(
+            @PathVariable("dataset_id") String datasetId,
+            @PathVariable("status") Integer status,
+            @RequestParam(required = false, defaultValue = "1") Integer page,
+            @RequestParam(required = false, defaultValue = "10") Integer page_size) {
+        // 验证知识库权限
+        validateKnowledgeBasePermission(datasetId);
+
+        PageData<KnowledgeFilesDTO> pageData = knowledgeFilesService.getPageListByStatus(datasetId, status, page, page_size);
+        return new Result<PageData<KnowledgeFilesDTO>>().ok(pageData);
+    }
+
+    @PostMapping("/documents")
+    @Operation(summary = "上传文档到知识库")
+    @RequiresPermissions("sys:role:normal")
+    public Result<KnowledgeFilesDTO> uploadDocument(
+            @PathVariable("dataset_id") String datasetId,
+            @RequestParam("file") MultipartFile file,
+            @RequestParam(required = false) String name,
+            @RequestParam(required = false) String chunkMethod,
+            @RequestParam(required = false) String metaFields,
+            @RequestParam(required = false) String parserConfig) {
+
+        // 验证知识库权限
+        validateKnowledgeBasePermission(datasetId);
+
+        KnowledgeFilesDTO resp = knowledgeFilesService.uploadDocument(datasetId, file, name,
+                metaFields != null ? parseJsonMap(metaFields) : null,
+                chunkMethod,
+                parserConfig != null ? parseJsonMap(parserConfig) : null);
+        return new Result<KnowledgeFilesDTO>().ok(resp);
+    }
+
+    @DeleteMapping("/documents/{document_id}")
+    @Operation(summary = "删除单个文档")
+    @Parameter(name = "document_id", description = "文档ID", required = true)
+    @RequiresPermissions("sys:role:normal")
+    public Result<Void> delete(@PathVariable("dataset_id") String datasetId,
+            @PathVariable("document_id") String documentId) {
+        // 验证知识库权限
+        validateKnowledgeBasePermission(datasetId);
+
+        knowledgeFilesService.deleteByDocumentId(documentId, datasetId);
+        return new Result<>();
+    }
+
+    @PostMapping("/chunks")
+    @Operation(summary = "解析文档（切块）")
+    @RequiresPermissions("sys:role:normal")
+    public Result<Void> parseDocuments(@PathVariable("dataset_id") String datasetId,
+            @RequestBody Map<String, List<String>> requestBody) {
+        // 验证知识库权限
+        validateKnowledgeBasePermission(datasetId);
+
+        List<String> documentIds = requestBody.get("document_ids");
+        if (documentIds == null || documentIds.isEmpty()) {
+            return new Result<Void>().error("document_ids参数不能为空");
+        }
+
+        boolean success = knowledgeFilesService.parseDocuments(datasetId, documentIds);
+        if (success) {
+            return new Result<Void>();
+        } else {
+            return new Result<Void>().error("文档解析失败，文档可能正在处理中");
+        }
+    }
+
+    @GetMapping("/documents/{document_id}/chunks")
+    @Operation(summary = "列出指定文档的切片")
+    @RequiresPermissions("sys:role:normal")
+    public Result<Map<String, Object>> listChunks(@PathVariable("dataset_id") String datasetId,
+            @PathVariable("document_id") String documentId,
+            @RequestParam(required = false) String keywords,
+            @RequestParam(required = false, defaultValue = "1") Integer page,
+            @RequestParam(required = false, defaultValue = "1024") Integer page_size,
+            @RequestParam(required = false) String id) {
+        // 验证知识库权限
+        validateKnowledgeBasePermission(datasetId);
+
+        Map<String, Object> result = knowledgeFilesService.listChunks(datasetId, documentId, keywords, page, page_size,
+                id);
+        return new Result<Map<String, Object>>().ok(result);
+    }
+
+    /**
+     * 召回测试
+     */
+    @PostMapping("/retrieval-test")
+    @Operation(summary = "召回测试")
+    @RequiresPermissions("sys:role:normal")
+    public Result<Map<String, Object>> retrievalTest(@PathVariable("dataset_id") String datasetId,
+            @RequestBody Map<String, Object> params) {
+        // 验证知识库权限
+        validateKnowledgeBasePermission(datasetId);
+
+        try {
+            // 提取参数
+            String question = (String) params.get("question");
+            if (question == null || question.trim().isEmpty()) {
+                return new Result<Map<String, Object>>().error("问题不能为空");
+            }
+
+            List<String> datasetIds = (List<String>) params.get("dataset_ids");
+            List<String> documentIds = (List<String>) params.get("document_ids");
+            Integer page = (Integer) params.get("page");
+            Integer pageSize = (Integer) params.get("page_size");
+            Float similarityThreshold = (Float) params.get("similarity_threshold");
+            Float vectorSimilarityWeight = (Float) params.get("vector_similarity_weight");
+            Integer topK = (Integer) params.get("top_k");
+            String rerankId = (String) params.get("rerank_id");
+            Boolean keyword = (Boolean) params.get("keyword");
+            Boolean highlight = (Boolean) params.get("highlight");
+            List<String> crossLanguages = (List<String>) params.get("cross_languages");
+            Map<String, Object> metadataCondition = (Map<String, Object>) params.get("metadata_condition");
+
+            // 如果未指定数据集ID，使用当前数据集
+            if (datasetIds == null || datasetIds.isEmpty()) {
+                datasetIds = java.util.Arrays.asList(datasetId);
+            }
+
+            Map<String, Object> result = knowledgeFilesService.retrievalTest(
+                    question, datasetIds, documentIds, page, pageSize, similarityThreshold,
+                    vectorSimilarityWeight, topK, rerankId, keyword, highlight, crossLanguages, metadataCondition);
+
+            return new Result<Map<String, Object>>().ok(result);
+        } catch (Exception e) {
+            return new Result<Map<String, Object>>().error("召回测试失败: " + e.getMessage());
+        }
+    }
+    /**
+     * 解析JSON字符串为Map对象
+     */
+    private Map<String, Object> parseJsonMap(String jsonString) {
+        try {
+            ObjectMapper objectMapper = new ObjectMapper();
+            return objectMapper.readValue(jsonString, new TypeReference<Map<String, Object>>() {
+            });
+        } catch (Exception e) {
+            throw new RuntimeException("解析JSON字符串失败: " + jsonString, e);
+        }
+    }
+}
@@ -0,0 +1,22 @@
+package xiaozhi.modules.knowledge.dao;
+
+import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;
+
+import xiaozhi.common.dao.BaseDao;
+import xiaozhi.modules.knowledge.entity.KnowledgeBaseEntity;
+
+/**
+ * 知识库知识库
+ */
+@Mapper
+public interface KnowledgeBaseDao extends BaseDao<KnowledgeBaseEntity> {
+
+    /**
+     * 根据知识库ID删除相关的插件映射记录
+     * 
+     * @param knowledgeBaseId 知识库ID
+     */
+    void deletePluginMappingByKnowledgeBaseId(@Param("knowledgeBaseId") String knowledgeBaseId);
+
+}
@@ -0,0 +1,49 @@
+package xiaozhi.modules.knowledge.dto;
+
+import java.io.Serial;
+import java.io.Serializable;
+import java.util.Date;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+@Data
+@Schema(description = "知识库知识库")
+public class KnowledgeBaseDTO implements Serializable {
+
+    @Serial
+    private static final long serialVersionUID = 1L;
+
+    @Schema(description = "唯一标识")
+    private String id;
+
+    @Schema(description = "知识库ID")
+    private String datasetId;
+
+    @Schema(description = "RAG模型配置ID")
+    private String ragModelId;
+
+    @Schema(description = "知识库名称")
+    private String name;
+
+    @Schema(description = "知识库描述")
+    private String description;
+
+    @Schema(description = "状态(0:禁用 1:启用)")
+    private Integer status;
+
+    @Schema(description = "创建者")
+    private Long creator;
+
+    @Schema(description = "创建时间")
+    private Date createdAt;
+
+    @Schema(description = "更新者")
+    private Long updater;
+
+    @Schema(description = "更新时间")
+    private Date updatedAt;
+
+    @Schema(description = "文档数量")
+    private Integer documentCount;
+}
@@ -0,0 +1,96 @@
+package xiaozhi.modules.knowledge.dto;
+
+import java.io.Serial;
+import java.io.Serializable;
+import java.util.Date;
+import java.util.Map;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+@Data
+@Schema(description = "知识库文档")
+public class KnowledgeFilesDTO implements Serializable {
+
+    @Serial
+    private static final long serialVersionUID = 1L;
+    @Schema(description = "唯一标识")
+    private String id;
+
+    @Schema(description = "文档ID")
+    private String documentId;
+
+    @Schema(description = "知识库ID")
+    private String datasetId;
+
+    @Schema(description = "文档名称")
+    private String name;
+
+    @Schema(description = "文档类型")
+    private String fileType;
+
+    @Schema(description = "文件大小（字节）")
+    private Long fileSize;
+
+    @Schema(description = "文件路径")
+    private String filePath;
+
+    @Schema(description = "元数据字段")
+    private Map<String, Object> metaFields;
+
+    @Schema(description = "分块方法")
+    private String chunkMethod;
+
+    @Schema(description = "解析器配置")
+    private Map<String, Object> parserConfig;
+
+    @Schema(description = "状态")
+    private Integer status;
+
+    @Schema(description = "文档解析状态")
+    private String run;
+
+    @Schema(description = "创建者")
+    private Long creator;
+
+    @Schema(description = "创建时间")
+    private Date createdAt;
+
+    @Schema(description = "更新者")
+    private Long updater;
+
+    @Schema(description = "更新时间")
+    private Date updatedAt;
+
+    // 文档解析状态常量定义
+    private static final Integer STATUS_UNSTART = 0;
+    private static final Integer STATUS_RUNNING = 1;
+    private static final Integer STATUS_CANCEL = 2;
+    private static final Integer STATUS_DONE = 3;
+    private static final Integer STATUS_FAIL = 4;
+
+    /**
+     * 获取文档解析状态码（基于run字段转换）
+     */
+    public Integer getParseStatusCode() {
+        if (run == null) {
+            return STATUS_UNSTART;
+        }
+
+        // RAGFlow根据run字段的值直接映射到对应的状态码
+        switch (run.toUpperCase()) {
+            case "RUNNING":
+                return STATUS_RUNNING;
+            case "CANCEL":
+                return STATUS_CANCEL;
+            case "DONE":
+                return STATUS_DONE;
+            case "FAIL":
+                return STATUS_FAIL;
+            case "UNSTART":
+            default:
+                return STATUS_UNSTART;
+        }
+    }
+
+}
@@ -0,0 +1,53 @@
+package xiaozhi.modules.knowledge.entity;
+
+import java.util.Date;
+
+import com.baomidou.mybatisplus.annotation.FieldFill;
+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;
+
+@Data
+@TableName(value = "ai_rag_dataset", autoResultMap = true)
+@Schema(description = "知识库知识库表")
+public class KnowledgeBaseEntity {
+
+    @TableId(type = IdType.ASSIGN_UUID)
+    @Schema(description = "唯一标识")
+    private String id;
+
+    @Schema(description = "知识库ID")
+    private String datasetId;
+
+    @Schema(description = "RAG模型配置ID")
+    private String ragModelId;
+
+    @Schema(description = "知识库名称")
+    private String name;
+
+    @Schema(description = "知识库描述")
+    private String description;
+
+    @Schema(description = "状态(0:禁用 1:启用)")
+    private Integer status;
+
+    @Schema(description = "创建者")
+    @TableField(fill = FieldFill.INSERT)
+    private Long creator;
+
+    @Schema(description = "创建时间")
+    @TableField(fill = FieldFill.INSERT)
+    private Date createdAt;
+
+    @Schema(description = "更新者")
+    @TableField(fill = FieldFill.UPDATE)
+    private Long updater;
+
+    @Schema(description = "更新时间")
+    @TableField(fill = FieldFill.UPDATE)
+    private Date updatedAt;
+}
@@ -0,0 +1,200 @@
+package xiaozhi.modules.knowledge.rag;
+
+import java.util.List;
+import java.util.Map;
+
+import org.springframework.web.multipart.MultipartFile;
+
+import xiaozhi.common.page.PageData;
+import xiaozhi.modules.knowledge.dto.KnowledgeFilesDTO;
+
+/**
+ * 知识库API适配器抽象基类
+ * 定义通用的知识库操作接口，支持多种后端API实现
+ */
+public abstract class KnowledgeBaseAdapter {
+
+        /**
+         * 获取适配器类型标识
+         * 
+         * @return 适配器类型（如：ragflow, milvus, pinecone等）
+         */
+        public abstract String getAdapterType();
+
+        /**
+         * 初始化适配器配置
+         * 
+         * @param config 配置参数
+         */
+        public abstract void initialize(Map<String, Object> config);
+
+        /**
+         * 验证配置是否有效
+         * 
+         * @param config 配置参数
+         * @return 验证结果
+         */
+        public abstract boolean validateConfig(Map<String, Object> config);
+
+        /**
+         * 分页查询文档列表
+         * 
+         * @param datasetId   知识库ID
+         * @param queryParams 查询参数
+         * @param page        页码
+         * @param limit       每页数量
+         * @return 分页数据
+         */
+        public abstract PageData<KnowledgeFilesDTO> getDocumentList(String datasetId,
+                        Map<String, Object> queryParams,
+                        Integer page,
+                        Integer limit);
+
+        /**
+         * 根据文档ID获取文档详情
+         * 
+         * @param datasetId 知识库ID
+         * @return 文档详情
+         */
+        public abstract KnowledgeFilesDTO getDocumentById(String datasetId, String documentId);
+
+        /**
+         * 上传文档到知识库
+         * 
+         * @param datasetId    知识库ID
+         * @param file         上传的文件
+         * @param name         文档名称
+         * @param metaFields   元数据字段
+         * @param chunkMethod  分块方法
+         * @param parserConfig 解析器配置
+         * @return 上传的文档信息
+         */
+        public abstract KnowledgeFilesDTO uploadDocument(String datasetId,
+                        MultipartFile file,
+                        String name,
+                        Map<String, Object> metaFields,
+                        String chunkMethod,
+                        Map<String, Object> parserConfig);
+
+        /**
+         * 根据状态分页查询文档列表
+         * 
+         * @param datasetId 知识库ID
+         * @param status    文档解析状态
+         * @param page      页码
+         * @param limit     每页数量
+         * @return 分页数据
+         */
+        public abstract PageData<KnowledgeFilesDTO> getDocumentListByStatus(String datasetId,
+                        Integer status,
+                        Integer page,
+                        Integer limit);
+
+        /**
+         * 删除文档
+         * 
+         * @param datasetId  知识库ID
+         * @param documentId 文档ID
+         */
+        public abstract void deleteDocument(String datasetId, String documentId);
+
+        /**
+         * 解析文档（切块）
+         * 
+         * @param datasetId   知识库ID
+         * @param documentIds 文档ID列表
+         * @return 解析结果
+         */
+        public abstract boolean parseDocuments(String datasetId, List<String> documentIds);
+
+        /**
+         * 列出指定文档的切片
+         * 
+         * @param datasetId  知识库ID
+         * @param documentId 文档ID
+         * @param keywords   关键词过滤
+         * @param page       页码
+         * @param pageSize   每页数量
+         * @param chunkId    切片ID
+         * @return 切片列表信息
+         */
+        public abstract Map<String, Object> listChunks(String datasetId,
+                        String documentId,
+                        String keywords,
+                        Integer page,
+                        Integer pageSize,
+                        String chunkId);
+
+        /**
+         * 召回测试 - 从知识库中检索相关切片
+         * 
+         * @param question        用户查询
+         * @param datasetIds      数据集ID列表
+         * @param documentIds     文档ID列表
+         * @param retrievalParams 检索参数
+         * @return 召回测试结果
+         */
+        public abstract Map<String, Object> retrievalTest(String question,
+                        List<String> datasetIds,
+                        List<String> documentIds,
+                        Map<String, Object> retrievalParams);
+
+        /**
+         * 测试连接
+         * 
+         * @return 连接测试结果
+         */
+        public abstract boolean testConnection();
+
+        /**
+         * 获取适配器状态信息
+         * 
+         * @return 状态信息
+         */
+        public abstract Map<String, Object> getStatus();
+
+        /**
+         * 获取支持的配置参数
+         * 
+         * @return 配置参数说明
+         */
+        public abstract Map<String, Object> getSupportedConfig();
+
+        /**
+         * 获取默认配置
+         * 
+         * @return 默认配置
+         */
+        public abstract Map<String, Object> getDefaultConfig();
+
+        /**
+         * 创建数据集
+         * 
+         * @param createParams 创建参数
+         * @return 数据集ID
+         */
+        public abstract String createDataset(Map<String, Object> createParams);
+
+        /**
+         * 更新数据集
+         * 
+         * @param datasetId    数据集ID
+         * @param updateParams 更新参数
+         */
+        public abstract void updateDataset(String datasetId, Map<String, Object> updateParams);
+
+        /**
+         * 删除数据集
+         * 
+         * @param datasetId 数据集ID
+         */
+        public abstract void deleteDataset(String datasetId);
+
+        /**
+         * 获取数据集的文档数量
+         * 
+         * @param datasetId 数据集ID
+         * @return 文档数量
+         */
+        public abstract Integer getDocumentCount(String datasetId);
+}
@@ -0,0 +1,197 @@
+package xiaozhi.modules.knowledge.rag;
+
+import java.util.HashMap;
+import java.util.Map;
+import java.util.Set;
+import java.util.concurrent.ConcurrentHashMap;
+
+import lombok.extern.slf4j.Slf4j;
+import xiaozhi.common.exception.ErrorCode;
+import xiaozhi.common.exception.RenException;
+
+/**
+ * 知识库适配器工厂类
+ * 负责创建和管理不同类型的知识库API适配器
+ */
+@Slf4j
+public class KnowledgeBaseAdapterFactory {
+
+    // 注册的适配器类型映射
+    private static final Map<String, Class<? extends KnowledgeBaseAdapter>> adapterRegistry = new HashMap<>();
+
+    // 适配器实例缓存
+    private static final Map<String, KnowledgeBaseAdapter> adapterCache = new ConcurrentHashMap<>();
+
+    static {
+        // 注册内置适配器类型
+        registerAdapter("ragflow", xiaozhi.modules.knowledge.rag.impl.RAGFlowAdapter.class);
+        // 可以在这里注册更多适配器类型
+    }
+
+    /**
+     * 注册新的适配器类型
+     * 
+     * @param adapterType  适配器类型标识
+     * @param adapterClass 适配器类
+     */
+    public static void registerAdapter(String adapterType, Class<? extends KnowledgeBaseAdapter> adapterClass) {
+        if (adapterRegistry.containsKey(adapterType)) {
+            log.warn("适配器类型 '{}' 已存在，将被覆盖", adapterType);
+        }
+        adapterRegistry.put(adapterType, adapterClass);
+        log.info("注册适配器类型: {} -> {}", adapterType, adapterClass.getSimpleName());
+    }
+
+    /**
+     * 获取适配器实例
+     * 
+     * @param adapterType 适配器类型
+     * @param config      配置参数
+     * @return 适配器实例
+     */
+    public static KnowledgeBaseAdapter getAdapter(String adapterType, Map<String, Object> config) {
+        String cacheKey = buildCacheKey(adapterType, config);
+
+        // 检查缓存中是否已存在实例
+        if (adapterCache.containsKey(cacheKey)) {
+            log.debug("从缓存获取适配器实例: {}", cacheKey);
+            return adapterCache.get(cacheKey);
+        }
+
+        // 创建新的适配器实例
+        KnowledgeBaseAdapter adapter = createAdapter(adapterType, config);
+
+        // 缓存适配器实例
+        adapterCache.put(cacheKey, adapter);
+        log.info("创建并缓存适配器实例: {}", cacheKey);
+
+        return adapter;
+    }
+
+    /**
+     * 获取适配器实例（无配置）
+     * 
+     * @param adapterType 适配器类型
+     * @return 适配器实例
+     */
+    public static KnowledgeBaseAdapter getAdapter(String adapterType) {
+        return getAdapter(adapterType, null);
+    }
+
+    /**
+     * 获取所有已注册的适配器类型
+     * 
+     * @return 适配器类型集合
+     */
+    public static Set<String> getRegisteredAdapterTypes() {
+        return adapterRegistry.keySet();
+    }
+
+    /**
+     * 检查适配器类型是否已注册
+     * 
+     * @param adapterType 适配器类型
+     * @return 是否已注册
+     */
+    public static boolean isAdapterTypeRegistered(String adapterType) {
+        return adapterRegistry.containsKey(adapterType);
+    }
+
+    /**
+     * 清除适配器缓存
+     */
+    public static void clearCache() {
+        int cacheSize = adapterCache.size();
+        adapterCache.clear();
+        log.info("清除适配器缓存，共清除 {} 个实例", cacheSize);
+    }
+
+    /**
+     * 移除特定适配器类型的缓存
+     * 
+     * @param adapterType 适配器类型
+     */
+    public static void removeCacheByType(String adapterType) {
+        int removedCount = 0;
+        for (String cacheKey : adapterCache.keySet()) {
+            if (cacheKey.startsWith(adapterType + "@")) {
+                adapterCache.remove(cacheKey);
+                removedCount++;
+            }
+        }
+        log.info("移除适配器类型 '{}' 的缓存，共移除 {} 个实例", adapterType, removedCount);
+    }
+
+    /**
+     * 获取适配器工厂状态信息
+     * 
+     * @return 状态信息
+     */
+    public static Map<String, Object> getFactoryStatus() {
+        Map<String, Object> status = new HashMap<>();
+        status.put("registeredAdapterTypes", adapterRegistry.keySet());
+        status.put("cachedAdapterCount", adapterCache.size());
+        status.put("cacheKeys", adapterCache.keySet());
+        return status;
+    }
+
+    /**
+     * 创建适配器实例
+     * 
+     * @param adapterType 适配器类型
+     * @param config      配置参数
+     * @return 适配器实例
+     */
+    private static KnowledgeBaseAdapter createAdapter(String adapterType, Map<String, Object> config) {
+        if (!adapterRegistry.containsKey(adapterType)) {
+            throw new RenException(ErrorCode.RAG_ADAPTER_TYPE_NOT_SUPPORTED,
+                    "不支持的适配器类型: " + adapterType);
+        }
+
+        try {
+            Class<? extends KnowledgeBaseAdapter> adapterClass = adapterRegistry.get(adapterType);
+            KnowledgeBaseAdapter adapter = adapterClass.getDeclaredConstructor().newInstance();
+
+            // 初始化适配器
+            if (config != null) {
+                adapter.initialize(config);
+
+                // 验证配置
+                if (!adapter.validateConfig(config)) {
+                    throw new RenException(ErrorCode.RAG_CONFIG_VALIDATION_FAILED,
+                            "适配器配置验证失败: " + adapterType);
+                }
+            }
+
+            log.info("成功创建适配器实例: {}", adapterType);
+            return adapter;
+
+        } catch (Exception e) {
+            log.error("创建适配器实例失败: {}", adapterType, e);
+            throw new RenException(ErrorCode.RAG_ADAPTER_CREATION_FAILED,
+                    "创建适配器失败: " + adapterType + ", 错误: " + e.getMessage());
+        }
+    }
+
+    /**
+     * 构建缓存键
+     * 
+     * @param adapterType 适配器类型
+     * @param config      配置参数
+     * @return 缓存键
+     */
+    private static String buildCacheKey(String adapterType, Map<String, Object> config) {
+        if (config == null || config.isEmpty()) {
+            return adapterType + "@default";
+        }
+
+        // 基于配置参数生成缓存键
+        StringBuilder keyBuilder = new StringBuilder(adapterType + "@");
+
+        // 使用配置的哈希值作为缓存键的一部分
+        int configHash = config.hashCode();
+        keyBuilder.append(configHash);
+
+        return keyBuilder.toString();
+    }
+}
@@ -0,0 +1,87 @@
+package xiaozhi.modules.knowledge.service;
+
+import java.util.List;
+import java.util.Map;
+
+import xiaozhi.common.page.PageData;
+import xiaozhi.common.service.BaseService;
+import xiaozhi.modules.knowledge.dto.KnowledgeBaseDTO;
+import xiaozhi.modules.knowledge.entity.KnowledgeBaseEntity;
+
+/**
+ * 知识库知识库服务接口
+ */
+public interface KnowledgeBaseService extends BaseService<KnowledgeBaseEntity> {
+
+    /**
+     * 分页查询知识库列表
+     * 
+     * @param knowledgeBaseDTO 查询条件
+     * @param page             页码
+     * @param limit            每页数量
+     * @return 分页数据
+     */
+    PageData<KnowledgeBaseDTO> getPageList(KnowledgeBaseDTO knowledgeBaseDTO, Integer page, Integer limit);
+
+    /**
+     * 根据ID获取知识库详情
+     * 
+     * @param id 知识库ID
+     * @return 知识库详情
+     */
+    KnowledgeBaseDTO getById(String id);
+
+    /**
+     * 新增知识库
+     * 
+     * @param knowledgeBaseDTO 知识库信息
+     * @return 新增的知识库
+     */
+    KnowledgeBaseDTO save(KnowledgeBaseDTO knowledgeBaseDTO);
+
+    /**
+     * 更新知识库
+     * 
+     * @param knowledgeBaseDTO 知识库信息
+     * @return 更新的知识库
+     */
+    KnowledgeBaseDTO update(KnowledgeBaseDTO knowledgeBaseDTO);
+
+    /**
+     * 根据知识库ID查询知识库
+     * 
+     * @param datasetId 知识库ID
+     * @return 知识库详情
+     */
+    KnowledgeBaseDTO getByDatasetId(String datasetId);
+
+    /**
+     * 根据知识库ID删除知识库
+     * 
+     * @param datasetId 知识库ID
+     */
+    void deleteByDatasetId(String datasetId);
+
+    /**
+     * 获取RAG配置信息
+     * 
+     * @param ragModelId RAG模型配置ID
+     * @return RAG配置信息
+     */
+    Map<String, Object> getRAGConfig(String ragModelId);
+
+    /**
+     * 根据知识库ID获取对应的RAG配置
+     * 
+     * @param datasetId 知识库ID
+     * @return RAG配置
+     */
+    Map<String, Object> getRAGConfigByDatasetId(String datasetId);
+
+    /**
+     * 获取RAG模型列表
+     * 
+     * @return RAG模型列表
+     */
+    List<Map<String, Object>> getRAGModels();
+}
@@ -0,0 +1,123 @@
+package xiaozhi.modules.knowledge.service;
+
+import java.util.List;
+import java.util.Map;
+
+import org.springframework.web.multipart.MultipartFile;
+
+import xiaozhi.common.page.PageData;
+import xiaozhi.modules.knowledge.dto.KnowledgeFilesDTO;
+
+/**
+ * 知识库文档服务接口
+ */
+public interface KnowledgeFilesService {
+
+        /**
+         * 分页查询文档列表
+         * 
+         * @param knowledgeFilesDTO 查询条件
+         * @param page              页码
+         * @param limit             每页数量
+         * @return 分页数据
+         */
+        PageData<KnowledgeFilesDTO> getPageList(KnowledgeFilesDTO knowledgeFilesDTO, Integer page, Integer limit);
+
+        /**
+         * 根据文档ID和知识库ID获取文档详情
+         * 
+         * @param documentId 文档ID
+         * @param datasetId  知识库ID
+         * @return 文档详情
+         */
+        KnowledgeFilesDTO getByDocumentId(String documentId, String datasetId);
+
+        /**
+         * 上传文档到知识库
+         * 
+         * @param datasetId    知识库ID
+         * @param file         上传的文件
+         * @param name         文档名称
+         * @param metaFields   元数据字段
+         * @param chunkMethod  分块方法
+         * @param parserConfig 解析器配置
+         * @return 上传的文档信息
+         */
+        KnowledgeFilesDTO uploadDocument(String datasetId, MultipartFile file, String name,
+                        Map<String, Object> metaFields, String chunkMethod,
+                        Map<String, Object> parserConfig);
+
+        /**
+         * 根据状态分页查询文档列表
+         * 
+         * @param datasetId 知识库ID
+         * @param status    文档解析状态（0-未开始，1-进行中，2-已取消，3-已完成，4-失败）
+         * @param page      页码
+         * @param limit     每页数量
+         * @return 分页数据
+         */
+        PageData<KnowledgeFilesDTO> getPageListByStatus(String datasetId, Integer status, Integer page, Integer limit);
+
+        /**
+         * 根据文档ID和知识库ID删除文档
+         * 
+         * @param documentId 文档ID
+         * @param datasetId  知识库ID
+         */
+        void deleteByDocumentId(String documentId, String datasetId);
+
+        /**
+         * 获取RAG配置信息
+         * 
+         * @param ragModelId RAG模型配置ID
+         * @return RAG配置信息
+         */
+        Map<String, Object> getRAGConfig(String ragModelId);
+
+        /**
+         * 解析文档（切块）
+         * 
+         * @param datasetId   知识库ID
+         * @param documentIds 文档ID列表
+         * @return 解析结果
+         */
+        boolean parseDocuments(String datasetId, List<String> documentIds);
+
+        /**
+         * 列出指定文档的切片
+         * 
+         * @param datasetId  知识库ID
+         * @param documentId 文档ID
+         * @param keywords   关键词过滤
+         * @param page       页码
+         * @param pageSize   每页数量
+         * @param chunkId    切片ID
+         * @return 切片列表信息
+         */
+        Map<String, Object> listChunks(String datasetId, String documentId, String keywords,
+                        Integer page, Integer pageSize, String chunkId);
+
+        /**
+         * 召回测试 - 从指定数据集或文档中检索相关切片
+         * 
+         * @param question               用户查询或查询关键词
+         * @param datasetIds             数据集ID列表
+         * @param documentIds            文档ID列表
+         * @param page                   页码
+         * @param pageSize               每页数量
+         * @param similarityThreshold    最小相似度阈值
+         * @param vectorSimilarityWeight 向量相似度权重
+         * @param topK                   参与向量余弦计算的切片数量
+         * @param rerankId               重排模型ID
+         * @param keyword                是否启用关键词匹配
+         * @param highlight              是否启用高亮显示
+         * @param crossLanguages         跨语言翻译列表
+         * @param metadataCondition      元数据过滤条件
+         * @return 召回测试结果
+         */
+        Map<String, Object> retrievalTest(String question, List<String> datasetIds, List<String> documentIds,
+                        Integer page, Integer pageSize, Float similarityThreshold,
+                        Float vectorSimilarityWeight, Integer topK, String rerankId,
+                        Boolean keyword, Boolean highlight, List<String> crossLanguages,
+                        Map<String, Object> metadataCondition);
+}
@@ -0,0 +1,644 @@
+package xiaozhi.modules.knowledge.service.impl;
+
+import java.io.IOException;
+import java.io.Serializable;
+import java.util.ArrayList;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import org.apache.commons.lang3.StringUtils;
+import org.springframework.http.HttpEntity;
+import org.springframework.http.HttpHeaders;
+import org.springframework.http.HttpMethod;
+import org.springframework.http.MediaType;
+import org.springframework.http.ResponseEntity;
+import org.springframework.stereotype.Service;
+import org.springframework.web.client.RestTemplate;
+
+import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import lombok.AllArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import xiaozhi.common.constant.Constant;
+import xiaozhi.common.exception.ErrorCode;
+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.utils.ConvertUtils;
+import xiaozhi.common.utils.MessageUtils;
+import xiaozhi.modules.knowledge.dao.KnowledgeBaseDao;
+import xiaozhi.modules.knowledge.dto.KnowledgeBaseDTO;
+import xiaozhi.modules.knowledge.entity.KnowledgeBaseEntity;
+import xiaozhi.modules.knowledge.rag.KnowledgeBaseAdapter;
+import xiaozhi.modules.knowledge.rag.KnowledgeBaseAdapterFactory;
+import xiaozhi.modules.knowledge.service.KnowledgeBaseService;
+import xiaozhi.modules.model.dao.ModelConfigDao;
+import xiaozhi.modules.model.entity.ModelConfigEntity;
+import xiaozhi.modules.model.service.ModelConfigService;
+import xiaozhi.modules.security.user.SecurityUser;
+
+@Service
+@AllArgsConstructor
+@Slf4j
+public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao, KnowledgeBaseEntity>
+        implements KnowledgeBaseService {
+
+    private final KnowledgeBaseDao knowledgeBaseDao;
+    private final ModelConfigService modelConfigService;
+    private final ModelConfigDao modelConfigDao;
+    private final RedisUtils redisUtils;
+    private RestTemplate restTemplate = new RestTemplate();
+    private final ObjectMapper objectMapper = new ObjectMapper();
+
+    @Override
+    public KnowledgeBaseEntity selectById(Serializable datasetId) {
+        if (datasetId == null) {
+            return null;
+        }
+
+        // 先从Redis获取缓存
+        String key = RedisKeys.getKnowledgeBaseCacheKey(datasetId.toString());
+        KnowledgeBaseEntity cachedEntity = (KnowledgeBaseEntity) redisUtils.get(key);
+        if (cachedEntity != null) {
+            return cachedEntity;
+        }
+
+        // 如果缓存中没有，则从数据库获取
+        KnowledgeBaseEntity entity = knowledgeBaseDao.selectById(datasetId);
+        if (entity == null) {
+            return null;
+        }
+
+        // 存入Redis缓存
+        redisUtils.set(key, entity);
+
+        return entity;
+    }
+
+    @Override
+    public PageData<KnowledgeBaseDTO> getPageList(KnowledgeBaseDTO knowledgeBaseDTO, Integer page, Integer limit) {
+        long curPage = page;
+        long pageSize = limit;
+        Page<KnowledgeBaseEntity> pageInfo = new Page<>(curPage, pageSize);
+
+        QueryWrapper<KnowledgeBaseEntity> queryWrapper = new QueryWrapper<>();
+
+        // 添加查询条件
+        if (knowledgeBaseDTO != null) {
+            queryWrapper.like(StringUtils.isNotBlank(knowledgeBaseDTO.getName()), "name", knowledgeBaseDTO.getName());
+            queryWrapper.eq(knowledgeBaseDTO.getStatus() != null, "status", knowledgeBaseDTO.getStatus());
+            queryWrapper.eq("creator", knowledgeBaseDTO.getCreator());
+        }
+
+        // 添加排序规则：按创建时间降序
+        queryWrapper.orderByDesc("created_at");
+
+        IPage<KnowledgeBaseEntity> knowledgeBaseEntityIPage = knowledgeBaseDao.selectPage(pageInfo, queryWrapper);
+
+        // 获取分页数据
+        PageData<KnowledgeBaseDTO> pageData = getPageData(knowledgeBaseEntityIPage, KnowledgeBaseDTO.class);
+
+        // 为每个知识库获取文档数量
+        if (pageData != null && pageData.getList() != null) {
+            for (KnowledgeBaseDTO knowledgeBase : pageData.getList()) {
+                try {
+                    Integer documentCount = getDocumentCountFromRAG(knowledgeBase.getDatasetId(),
+                            knowledgeBase.getRagModelId());
+                    knowledgeBase.setDocumentCount(documentCount);
+                } catch (Exception e) {
+                    // 构建详细的错误信息，包含异常类型和消息
+                    String baseErrorMessage = e.getClass().getSimpleName() + " - 获取知识库文档数量失败";
+                    String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
+                    log.warn("知识库 {} {}", knowledgeBase.getDatasetId(), errorMessage);
+                    knowledgeBase.setDocumentCount(0); // 设置默认值
+                }
+            }
+        }
+
+        return pageData;
+    }
+
+    @Override
+    public KnowledgeBaseDTO getById(String id) {
+        if (StringUtils.isBlank(id)) {
+            throw new RenException(ErrorCode.IDENTIFIER_NOT_NULL);
+        }
+
+        KnowledgeBaseEntity entity = knowledgeBaseDao.selectById(id);
+        if (entity == null) {
+            throw new RenException(ErrorCode.Knowledge_Base_RECORD_NOT_EXISTS);
+        }
+
+        return ConvertUtils.sourceToTarget(entity, KnowledgeBaseDTO.class);
+    }
+
+    @Override
+    public KnowledgeBaseDTO save(KnowledgeBaseDTO knowledgeBaseDTO) {
+        if (knowledgeBaseDTO == null) {
+            throw new RenException(ErrorCode.PARAMS_GET_ERROR);
+        }
+
+        // 检查是否存在同名知识库
+        checkDuplicateKnowledgeBaseName(knowledgeBaseDTO, null);
+
+        String datasetId = null;
+        // 调用RAG API创建数据集
+        try {
+            Map<String, Object> ragConfig = getValidatedRAGConfig(knowledgeBaseDTO.getRagModelId());
+            datasetId = createDatasetInRAG(
+                    knowledgeBaseDTO.getName(),
+                    knowledgeBaseDTO.getDescription(),
+                    ragConfig);
+        } catch (Exception e) {
+            // 如果RAG API调用失败，直接抛出异常
+            throw e;
+        }
+
+        // 验证数据集ID是否已存在
+        KnowledgeBaseEntity existingEntity = knowledgeBaseDao.selectOne(
+                new QueryWrapper<KnowledgeBaseEntity>().eq("dataset_id", datasetId));
+        if (existingEntity != null) {
+            // 如果datasetId已存在，删除RAG中的数据集并抛出异常
+            try {
+                Map<String, Object> ragConfig = getValidatedRAGConfig(knowledgeBaseDTO.getRagModelId());
+                deleteDatasetInRAG(datasetId, ragConfig);
+            } catch (Exception deleteException) {
+                // 提供更详细的错误信息，包括异常类型和消息
+                String errorMessage = "删除重复datasetId的RAG数据集失败: " + deleteException.getClass().getSimpleName();
+                if (deleteException.getMessage() != null) {
+                    errorMessage += " - " + deleteException.getMessage();
+                }
+                log.warn(errorMessage, deleteException);
+            }
+            throw new RenException(ErrorCode.DB_RECORD_EXISTS);
+        }
+
+        // 创建本地实体并保存
+        KnowledgeBaseEntity entity = ConvertUtils.sourceToTarget(knowledgeBaseDTO, KnowledgeBaseEntity.class);
+        entity.setDatasetId(datasetId);
+        knowledgeBaseDao.insert(entity);
+
+        return ConvertUtils.sourceToTarget(entity, KnowledgeBaseDTO.class);
+    }
+
+    @Override
+    public KnowledgeBaseDTO update(KnowledgeBaseDTO knowledgeBaseDTO) {
+        if (knowledgeBaseDTO == null || StringUtils.isBlank(knowledgeBaseDTO.getId())) {
+            throw new RenException(ErrorCode.IDENTIFIER_NOT_NULL);
+        }
+
+        // 检查记录是否存在
+        KnowledgeBaseEntity existingEntity = knowledgeBaseDao.selectById(knowledgeBaseDTO.getId());
+        if (existingEntity == null) {
+            throw new RenException(ErrorCode.Knowledge_Base_RECORD_NOT_EXISTS);
+        }
+
+        // 检查是否存在同名知识库（排除当前记录）
+        checkDuplicateKnowledgeBaseName(knowledgeBaseDTO, knowledgeBaseDTO.getId());
+
+        // 验证数据集ID是否与其他记录冲突
+        if (StringUtils.isNotBlank(knowledgeBaseDTO.getDatasetId())) {
+            KnowledgeBaseEntity conflictEntity = knowledgeBaseDao.selectOne(
+                    new QueryWrapper<KnowledgeBaseEntity>()
+                            .eq("dataset_id", knowledgeBaseDTO.getDatasetId())
+                            .ne("id", knowledgeBaseDTO.getId()));
+            if (conflictEntity != null) {
+                throw new RenException(ErrorCode.DB_RECORD_EXISTS);
+            }
+        }
+
+        boolean needRagValidation = StringUtils.isNotBlank(knowledgeBaseDTO.getDatasetId())
+                && StringUtils.isNotBlank(knowledgeBaseDTO.getRagModelId());
+
+        if (needRagValidation) {
+            try {
+                // 先校验RAG配置
+                Map<String, Object> ragConfig = getValidatedRAGConfig(knowledgeBaseDTO.getRagModelId());
+
+                // 调用RAG API更新数据集
+                updateDatasetInRAG(
+                        knowledgeBaseDTO.getDatasetId(),
+                        knowledgeBaseDTO.getName(),
+                        knowledgeBaseDTO.getDescription(),
+                        ragConfig);
+
+                log.info("RAG API更新成功，datasetId: {}", knowledgeBaseDTO.getDatasetId());
+            } catch (Exception e) {
+                // 提供更详细的错误信息，包括异常类型和消息
+                String errorMessage = "更新RAG数据集失败: " + e.getClass().getSimpleName();
+                if (e.getMessage() != null) {
+                    errorMessage += " - " + e.getMessage();
+                }
+                log.error(errorMessage, e);
+                throw e;
+            }
+        } else {
+            log.warn("datasetId或ragModelId为空，跳过RAG更新");
+        }
+
+        KnowledgeBaseEntity entity = ConvertUtils.sourceToTarget(knowledgeBaseDTO, KnowledgeBaseEntity.class);
+        knowledgeBaseDao.updateById(entity);
+
+        // 删除缓存
+        if (entity.getDatasetId() != null) {
+            redisUtils.delete(RedisKeys.getKnowledgeBaseCacheKey(entity.getId()));
+        }
+
+        return ConvertUtils.sourceToTarget(entity, KnowledgeBaseDTO.class);
+    }
+
+    @Override
+    public KnowledgeBaseDTO getByDatasetId(String datasetId) {
+        if (StringUtils.isBlank(datasetId)) {
+            throw new RenException(ErrorCode.PARAMS_GET_ERROR);
+        }
+
+        KnowledgeBaseEntity entity = knowledgeBaseDao.selectOne(
+                new QueryWrapper<KnowledgeBaseEntity>().eq("dataset_id", datasetId));
+
+        if (entity == null) {
+            throw new RenException(ErrorCode.Knowledge_Base_RECORD_NOT_EXISTS);
+        }
+
+        return ConvertUtils.sourceToTarget(entity, KnowledgeBaseDTO.class);
+    }
+
+    @Override
+    public void deleteByDatasetId(String datasetId) {
+        if (StringUtils.isBlank(datasetId)) {
+            throw new RenException(ErrorCode.PARAMS_GET_ERROR);
+        }
+
+        log.info("=== 开始通过datasetId删除操作 ===");
+        log.info("删除datasetId: {}", datasetId);
+
+        KnowledgeBaseEntity entity = knowledgeBaseDao.selectOne(
+                new QueryWrapper<KnowledgeBaseEntity>().eq("dataset_id", datasetId));
+
+        if (entity == null) {
+            log.warn("记录不存在，datasetId: {}", datasetId);
+            throw new RenException(ErrorCode.Knowledge_Base_RECORD_NOT_EXISTS);
+        }
+        redisUtils.delete(RedisKeys.getKnowledgeBaseCacheKey(entity.getId()));
+
+        log.info("找到记录: ID={}, datasetId={}, ragModelId={}",
+                entity.getId(), entity.getDatasetId(), entity.getRagModelId());
+
+        // 先调用RAG API删除数据集
+        boolean apiDeleteSuccess = false;
+        if (StringUtils.isNotBlank(entity.getDatasetId()) && StringUtils.isNotBlank(entity.getRagModelId())) {
+            try {
+                log.info("开始调用RAG API删除数据集");
+                // 在删除前进行RAG配置校验
+                Map<String, Object> ragConfig = getValidatedRAGConfig(entity.getRagModelId());
+                deleteDatasetInRAG(entity.getDatasetId(), ragConfig);
+                log.info("RAG API删除调用完成");
+                apiDeleteSuccess = true;
+            } catch (Exception e) {
+                // 提供更详细的错误信息，包括异常类型和消息
+                String errorMessage = "删除RAG数据集失败: " + e.getClass().getSimpleName();
+                if (e.getMessage() != null) {
+                    errorMessage += " - " + e.getMessage();
+                }
+                log.error(errorMessage, e);
+                throw e;
+            }
+        } else {
+            log.warn("datasetId或ragModelId为空，跳过RAG删除");
+            apiDeleteSuccess = true; // 没有RAG数据集，视为成功
+        }
+
+        // API删除成功后再删除本地记录
+        if (apiDeleteSuccess) {
+            log.info("开始删除ai_agent_plugin_mapping表中与知识库ID '{}' 相关的映射记录", entity.getId());
+
+            // 先删除相关的插件映射记录
+            knowledgeBaseDao.deletePluginMappingByKnowledgeBaseId(entity.getId());
+            log.info("插件映射记录删除完成");
+
+            int deleteCount = knowledgeBaseDao.deleteById(entity.getId());
+            log.info("本地数据库删除结果: {}", deleteCount > 0 ? "成功" : "失败");
+        }
+
+        log.info("=== 通过datasetId删除操作结束 ===");
+    }
+
+    @Override
+    public Map<String, Object> getRAGConfig(String ragModelId) {
+        if (StringUtils.isBlank(ragModelId)) {
+            throw new RenException(ErrorCode.PARAMS_GET_ERROR);
+        }
+
+        // 从缓存获取模型配置
+        ModelConfigEntity modelConfig = modelConfigService.getModelByIdFromCache(ragModelId);
+        if (modelConfig == null || modelConfig.getConfigJson() == null) {
+            throw new RenException(ErrorCode.RAG_CONFIG_NOT_FOUND);
+        }
+
+        // 验证是否为RAG类型配置
+        if (!Constant.RAG_CONFIG_TYPE.equals(modelConfig.getModelType().toUpperCase())) {
+            throw new RenException(ErrorCode.RAG_CONFIG_TYPE_ERROR);
+        }
+
+        Map<String, Object> config = modelConfig.getConfigJson();
+
+        // 验证必要的配置参数
+        validateRagConfig(config);
+
+        // 返回配置信息
+        return config;
+    }
+
+    @Override
+    public Map<String, Object> getRAGConfigByDatasetId(String datasetId) {
+        if (StringUtils.isBlank(datasetId)) {
+            throw new RenException(ErrorCode.RAG_DATASET_ID_NOT_NULL);
+        }
+
+        // 根据datasetId查询知识库信息
+        KnowledgeBaseDTO knowledgeBase = getByDatasetId(datasetId);
+        if (knowledgeBase == null) {
+            log.warn("未找到datasetId为{}的知识库", datasetId);
+            throw new RenException(ErrorCode.Knowledge_Base_RECORD_NOT_EXISTS);
+        }
+
+        // 如果知识库指定了ragModelId，使用该配置
+        String ragModelId = knowledgeBase.getRagModelId();
+        if (StringUtils.isBlank(ragModelId)) {
+            log.warn("知识库datasetId为{}未配置ragModelId", datasetId);
+            throw new RenException(ErrorCode.RAG_CONFIG_NOT_FOUND);
+        }
+
+        // 获取并返回RAG配置
+        return getRAGConfig(ragModelId);
+    }
+
+    @Override
+    public List<Map<String, Object>> getRAGModels() {
+        // 查询RAG类型的模型配置
+        QueryWrapper<ModelConfigEntity> queryWrapper = new QueryWrapper<>();
+        queryWrapper.eq("model_type", Constant.RAG_CONFIG_TYPE)
+                .eq("is_enabled", 1)
+                .orderByDesc("is_default")
+                .orderByDesc("create_date");
+
+        List<ModelConfigEntity> modelConfigs = modelConfigDao.selectList(queryWrapper);
+
+        List<Map<String, Object>> modelList = new ArrayList<>();
+        for (ModelConfigEntity modelConfig : modelConfigs) {
+            Map<String, Object> modelInfo = new HashMap<>();
+            modelInfo.put("id", modelConfig.getId());
+            modelInfo.put("modelName", modelConfig.getModelName());
+            modelList.add(modelInfo);
+        }
+        return modelList;
+    }
+
+    /**
+     * 验证RAG配置中是否包含必要的参数
+     */
+    private void validateRagConfig(Map<String, Object> config) {
+        if (config == null) {
+            throw new RenException(ErrorCode.RAG_CONFIG_NOT_FOUND);
+        }
+
+        // 从配置中提取必要的参数
+        String baseUrl = (String) config.get("base_url");
+        String apiKey = (String) config.get("api_key");
+
+        // 验证base_url是否存在且非空
+        if (StringUtils.isBlank(baseUrl)) {
+            throw new RenException(ErrorCode.RAG_API_ERROR_URL_NULL);
+        }
+
+        // 验证api_key是否存在且非空
+        if (StringUtils.isBlank(apiKey)) {
+            throw new RenException(ErrorCode.RAG_API_ERROR_API_KEY_NULL);
+        }
+
+        // 检查api_key是否包含占位符
+        if (apiKey.contains("你")) {
+            throw new RenException(ErrorCode.RAG_API_ERROR_API_KEY_INVALID);
+        }
+
+        // 验证base_url格式
+        if (!baseUrl.startsWith("http://") && !baseUrl.startsWith("https://")) {
+            throw new RenException(ErrorCode.RAG_API_ERROR_URL_INVALID);
+        }
+    }
+
+    /**
+     * 从RAG配置中提取适配器类型
+     * 
+     * @param config RAG配置
+     * @return 适配器类型
+     */
+    private String extractAdapterType(Map<String, Object> config) {
+        if (config == null) {
+            throw new RenException(ErrorCode.RAG_CONFIG_NOT_FOUND);
+        }
+
+        // 从配置中提取适配器类型
+        String adapterType = (String) config.get("type");
+
+        // 验证适配器类型是否存在且非空
+        if (StringUtils.isBlank(adapterType)) {
+            throw new RenException(ErrorCode.RAG_ADAPTER_TYPE_NOT_FOUND);
+        }
+
+        // 验证适配器类型是否已注册
+        if (!KnowledgeBaseAdapterFactory.isAdapterTypeRegistered(adapterType)) {
+            throw new RenException(ErrorCode.RAG_ADAPTER_TYPE_NOT_SUPPORTED,
+                    "不支持的适配器类型: " + adapterType);
+        }
+
+        return adapterType;
+    }
+
+    /**
+     * 使用适配器创建数据集
+     */
+    private String createDatasetInRAG(String name, String description, Map<String, Object> ragConfig) {
+        log.info("开始使用适配器创建数据集, name: {}", name);
+
+        try {
+            // 从RAG配置中提取适配器类型
+            String adapterType = extractAdapterType(ragConfig);
+
+            // 使用适配器工厂获取适配器实例
+            KnowledgeBaseAdapter adapter = KnowledgeBaseAdapterFactory.getAdapter(adapterType, ragConfig);
+
+            // 构建数据集创建参数
+            Map<String, Object> createParams = new HashMap<>();
+            String username = SecurityUser.getUser().getUsername();
+            createParams.put("name", username + "_" + name);
+            if (StringUtils.isNotBlank(description)) {
+                createParams.put("description", description);
+            }
+
+            // 调用适配器的创建数据集方法
+            String datasetId = adapter.createDataset(createParams);
+
+            log.info("数据集创建成功，datasetId: {}", datasetId);
+            return datasetId;
+
+        } catch (Exception e) {
+            // 直接传递底层适配器的详细错误信息
+            log.error("创建数据集失败", e);
+            if (e instanceof RenException) {
+                throw (RenException) e;
+            }
+            throw new RenException(ErrorCode.RAG_API_ERROR, e.getMessage());
+        }
+    }
+
+    /**
+     * 使用适配器更新数据集
+     */
+    private void updateDatasetInRAG(String datasetId, String name, String description,
+            Map<String, Object> ragConfig) {
+        log.info("开始使用适配器更新数据集，datasetId: {}, name: {}", datasetId, name);
+
+        try {
+            // 从RAG配置中提取适配器类型
+            String adapterType = extractAdapterType(ragConfig);
+
+            // 使用适配器工厂获取适配器实例
+            KnowledgeBaseAdapter adapter = KnowledgeBaseAdapterFactory.getAdapter(adapterType, ragConfig);
+
+            // 构建数据集更新参数
+            Map<String, Object> updateParams = new HashMap<>();
+            String username = SecurityUser.getUser().getUsername();
+            updateParams.put("name", username + "_" + name);
+            if (StringUtils.isNotBlank(description)) {
+                updateParams.put("description", description);
+            }
+
+            // 调用适配器的更新数据集方法
+            adapter.updateDataset(datasetId, updateParams);
+
+            log.info("数据集更新成功，datasetId: {}", datasetId);
+
+        } catch (Exception e) {
+            // 直接传递底层适配器的详细错误信息
+            log.error("更新数据集失败", e);
+            if (e instanceof RenException) {
+                throw (RenException) e;
+            }
+            throw new RenException(ErrorCode.RAG_API_ERROR, e.getMessage());
+        }
+    }
+
+    /**
+     * 使用适配器删除数据集
+     */
+    private void deleteDatasetInRAG(String datasetId, Map<String, Object> ragConfig) {
+        log.info("开始使用适配器删除数据集，datasetId: {}", datasetId);
+
+        try {
+            // 从RAG配置中提取适配器类型
+            String adapterType = extractAdapterType(ragConfig);
+
+            // 使用适配器工厂获取适配器实例
+            KnowledgeBaseAdapter adapter = KnowledgeBaseAdapterFactory.getAdapter(adapterType, ragConfig);
+
+            // 调用适配器的删除数据集方法
+            adapter.deleteDataset(datasetId);
+
+            log.info("数据集删除成功，datasetId: {}", datasetId);
+
+        } catch (Exception e) {
+            // 直接传递底层适配器的详细错误信息
+            log.error("删除数据集失败", e);
+            if (e instanceof RenException) {
+                throw (RenException) e;
+            }
+            throw new RenException(ErrorCode.RAG_API_ERROR, e.getMessage());
+        }
+    }
+
+    /**
+     * 获取RAG配置并验证
+     */
+    private Map<String, Object> getValidatedRAGConfig(String ragModelId) {
+        if (StringUtils.isBlank(ragModelId)) {
+            throw new RenException(ErrorCode.RAG_MODEL_ID_NOT_NULL);
+        }
+
+        Map<String, Object> ragConfig = getRAGConfig(ragModelId);
+
+        // 验证RAG配置参数
+        validateRagConfig(ragConfig);
+
+        return ragConfig;
+    }
+
+    /**
+     * 检查是否存在同名知识库
+     * 
+     * @param knowledgeBaseDTO 知识库DTO
+     * @param excludeId        排除的ID（更新时使用）
+     */
+    private void checkDuplicateKnowledgeBaseName(KnowledgeBaseDTO knowledgeBaseDTO, String excludeId) {
+        if (StringUtils.isNotBlank(knowledgeBaseDTO.getName())) {
+            Long currentUserId = SecurityUser.getUserId();
+            QueryWrapper<KnowledgeBaseEntity> queryWrapper = new QueryWrapper<KnowledgeBaseEntity>()
+                    .eq("name", knowledgeBaseDTO.getName())
+                    .eq("creator", currentUserId);
+
+            // 如果提供了排除ID，则排除该记录
+            if (StringUtils.isNotBlank(excludeId)) {
+                queryWrapper.ne("id", excludeId);
+            }
+
+            long count = knowledgeBaseDao.selectCount(queryWrapper);
+            if (count > 0) {
+                throw new RenException(ErrorCode.KNOWLEDGE_BASE_NAME_EXISTS,
+                        MessageUtils.getMessage(ErrorCode.KNOWLEDGE_BASE_NAME_EXISTS));
+            }
+        }
+    }
+
+    /**
+     * 从适配器获取知识库的文档数量
+     */
+    private Integer getDocumentCountFromRAG(String datasetId, String ragModelId) {
+        if (StringUtils.isBlank(datasetId) || StringUtils.isBlank(ragModelId)) {
+            log.warn("datasetId或ragModelId为空，无法获取文档数量");
+            return 0;
+        }
+
+        log.info("开始获取知识库 {} 的文档数量", datasetId);
+
+        try {
+            // 获取RAG配置
+            Map<String, Object> ragConfig = getValidatedRAGConfig(ragModelId);
+
+            // 从RAG配置中提取适配器类型
+            String adapterType = extractAdapterType(ragConfig);
+
+            // 使用适配器工厂获取适配器实例
+            KnowledgeBaseAdapter adapter = KnowledgeBaseAdapterFactory.getAdapter(adapterType, ragConfig);
+
+            // 调用适配器的获取文档数量方法
+            Integer documentCount = adapter.getDocumentCount(datasetId);
+
+            log.info("获取知识库 {} 的文档数量成功: {}", datasetId, documentCount);
+            return documentCount;
+
+        } catch (Exception e) {
+            // 构建详细的错误信息，包含异常类型和消息
+            String baseErrorMessage = e.getClass().getSimpleName() + " - 获取知识库文档数量失败";
+            String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
+            log.error(errorMessage, e);
+            return 0;
+        }
+    }
+
+}
@@ -21,7 +21,12 @@ import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.Result;
 import xiaozhi.modules.agent.service.AgentTemplateService;
 import xiaozhi.modules.config.service.ConfigService;
-import xiaozhi.modules.model.dto.*;
+import xiaozhi.modules.model.dto.LlmModelBasicInfoDTO;
+import xiaozhi.modules.model.dto.ModelBasicInfoDTO;
+import xiaozhi.modules.model.dto.ModelConfigBodyDTO;
+import xiaozhi.modules.model.dto.ModelConfigDTO;
+import xiaozhi.modules.model.dto.ModelProviderDTO;
+import xiaozhi.modules.model.dto.VoiceDTO;
 import xiaozhi.modules.model.entity.ModelConfigEntity;
 import xiaozhi.modules.model.service.ModelConfigService;
 import xiaozhi.modules.model.service.ModelProviderService;
@@ -124,6 +129,8 @@ public class ModelController {
        if (entity == null) {
            return new Result<Void>().error("模型配置不存在");
        }
+        // 不更新ConfigJson字段
+        entity.setConfigJson(null);
        entity.setIsEnabled(status);
        modelConfigService.updateById(entity);
        return new Result<Void>();
@@ -141,6 +148,8 @@ public class ModelController {
        modelConfigService.setDefaultModel(entity.getModelType(), 0);
        entity.setIsEnabled(1);
        entity.setIsDefault(1);
+        // 不更新ConfigJson字段
+        entity.setConfigJson(null);
        modelConfigService.updateById(entity);

        // 更新模板表中对应的模型ID
@@ -1,6 +1,7 @@
 package xiaozhi.modules.model.dao;

 import java.util.List;
+import java.util.Map;

 import org.apache.ibatis.annotations.Mapper;
 import org.apache.ibatis.annotations.Param;
@@ -15,4 +16,9 @@ public interface ModelConfigDao extends BaseDao<ModelConfigEntity> {
     * get model_code list
     */
    List<String> getModelCodeList(@Param("modelType") String modelType, @Param("modelName") String modelName);
+
+    /**
+     * 获取符合条件的TTS平台列表(id和modelName)
+     */
+    List<Map<String, Object>> getTtsPlatformList();
 }
@@ -13,9 +13,9 @@ public class ModelConfigBodyDTO {
    @Serial
    private static final long serialVersionUID = 1L;

-    // @Schema(description = "模型类型(Memory/ASR/VAD/LLM/TTS)")
-    // private String modelType;
-    //
+    @Schema(description = "模型ID,未填写将自动生成")
+    private String id;
+
    @Schema(description = "模型编码(如AliLLM、DoubaoTTS)")
    private String modelCode;

@@ -19,4 +19,15 @@ public class VoiceDTO implements Serializable {

    @Schema(description = "音色名称")
    private String name;
+
+    @Schema(description = "音频播放地址")
+    private String voiceDemo;
+
+    // 添加双参数构造函数，保持向后兼容
+    public VoiceDTO(String id, String name) {
+        this.id = id;
+        this.name = name;
+        this.voiceDemo = null;
+    }
+
 }
@@ -3,9 +3,7 @@ package xiaozhi.modules.model.entity;
 import java.util.Date;

 import com.baomidou.mybatisplus.annotation.FieldFill;
-import com.baomidou.mybatisplus.annotation.IdType;
 import com.baomidou.mybatisplus.annotation.TableField;
-import com.baomidou.mybatisplus.annotation.TableId;
 import com.baomidou.mybatisplus.annotation.TableName;
 import com.baomidou.mybatisplus.extension.handlers.JacksonTypeHandler;

@@ -18,7 +16,6 @@ import lombok.Data;
@Schema(description = "模型配置表")
 public class ModelConfigEntity {

-    @TableId(type = IdType.ASSIGN_UUID)
    @Schema(description = "主键")
    private String id;

@@ -1,6 +1,7 @@
 package xiaozhi.modules.model.service;

 import java.util.List;
+import java.util.Map;

 import xiaozhi.common.page.PageData;
 import xiaozhi.common.service.BaseService;
@@ -35,27 +36,23 @@ public interface ModelConfigService extends BaseService<ModelConfigEntity> {
    /**
     * 根据ID获取模型配置
     * 
-     * @param id          模型ID
-     * @param isCache     是否缓存
-     * @param isMaskSensitive 是否掩码敏感信息
+     * @param id 模型ID
     * @return 模型配置实体
     */
-    ModelConfigEntity getModelById(String id, boolean isCache, boolean isMaskSensitive);
+    ModelConfigEntity getModelByIdFromCache(String id);

-    /**
-     * 根据ID获取模型配置（默认掩码敏感信息）
-     * 
-     * @param id          模型ID
-     * @param isCache     是否缓存
-     * @return 模型配置实体
-     */
-    ModelConfigEntity getModelById(String id, boolean isCache);
-    
    /**
     * 设置默认模型
-     * 
-     * @param modelType   模型类型
-     * @param isDefault   是否默认（1:是，0:否）
+     *
+     * @param modelType 模型类型
+     * @param isDefault 是否默认（1:是，0:否）
     */
    void setDefaultModel(String modelType, int isDefault);
+
+    /**
+     * 获取符合条件的TTS平台列表
+     *
+     * @return TTS平台列表(id和modelName)
+     */
+    List<Map<String, Object>> getTtsPlatformList();
 }
@@ -11,6 +11,7 @@ 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.incrementer.DefaultIdentifierGenerator;
 import com.baomidou.mybatisplus.core.metadata.IPage;
 import com.baomidou.mybatisplus.core.metadata.OrderItem;
 import com.baomidou.mybatisplus.extension.plugins.pagination.Page;
@@ -211,44 +212,15 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
    }

    @Override
-    public ModelConfigEntity getModelById(String id, boolean isCache) {
-        return getModelById(id, isCache, true);
-    }
-    
-    @Override
-    public ModelConfigEntity getModelById(String id, boolean isCache, boolean isMaskSensitive) {
+    public ModelConfigEntity getModelByIdFromCache(String id) {
        if (StringUtils.isBlank(id)) {
            return null;
        }
-    
-        ModelConfigEntity entity = null;
        String cacheKey = RedisKeys.getModelConfigById(id);
-        
-        if (isCache) {
-            // 从缓存获取
-            entity = (ModelConfigEntity) redisUtils.get(cacheKey);
+        ModelConfigEntity entity = (ModelConfigEntity) redisUtils.get(cacheKey);
+        if (entity == null) {
+            entity = modelConfigDao.selectById(id);
            if (entity != null) {
-                // 修改：根据isMaskSensitive参数重新处理敏感信息
-                if (!isMaskSensitive && entity.getConfigJson() != null) {
-                    // 如果需要获取原始配置，但缓存的是掩码后的配置，则从数据库重新获取
-                    ModelConfigEntity originalEntity = modelConfigDao.selectById(id);
-                    if (originalEntity != null) {
-                        entity.setConfigJson(originalEntity.getConfigJson());
-                    }
-                }
-                return entity;
-            }
-        }
-    
-        // 从数据库获取数据
-        entity = modelConfigDao.selectById(id);
-        if (entity != null) {
-            // 根据isMaskSensitive参数决定是否掩码敏感信息
-            if (isMaskSensitive && entity.getConfigJson() != null) {
-                entity.setConfigJson(maskSensitiveFields(entity.getConfigJson()));
-            }
-    
-            if (isCache) {
                redisUtils.set(cacheKey, entity);
            }
        }
@@ -281,6 +253,12 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
        if (modelConfigBodyDTO == null) {
            throw new RenException(ErrorCode.PARAMS_GET_ERROR);
        }
+        if (StringUtils.isBlank(modelConfigBodyDTO.getId())) {
+            // 参照 MP @TableId AutoUUID 策略使用
+            // com.baomidou.mybatisplus.core.incrementer.DefaultIdentifierGenerator(UUID.replace("-",""))
+            // 进行分配默认模型ID
+            modelConfigBodyDTO.setId(DefaultIdentifierGenerator.getInstance().nextUUID(ModelConfigEntity.class));
+        }
    }

    /**
@@ -367,19 +345,19 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
        // 2. 只更新非敏感字段
        modelConfigEntity.setModelName(modelConfigBodyDTO.getModelName());
        modelConfigEntity.setSort(modelConfigBodyDTO.getSort());
-        modelConfigEntity.setIsEnabled(modelConfigBodyDTO.getIsEnabled());  
+        modelConfigEntity.setIsEnabled(modelConfigBodyDTO.getIsEnabled());
        // 3. 处理配置JSON，仅更新非敏感字段和明确修改的敏感字段
        if (modelConfigBodyDTO.getConfigJson() != null && originalEntity.getConfigJson() != null) {
            JSONObject originalJson = originalEntity.getConfigJson();
            JSONObject updatedJson = new JSONObject(originalJson); // 基于原始JSON进行修改
-    
+
            // 遍历更新的JSON，只更新非敏感字段或确实被修改的敏感字段
            for (String key : modelConfigBodyDTO.getConfigJson().keySet()) {
                Object value = modelConfigBodyDTO.getConfigJson().get(key);
-    
+
                // 如果是敏感字段，需要确认是否真的被修改（前端传入的可能是掩码后的值）
                if (SensitiveDataUtils.isSensitiveField(key)) {
-                    
+
                    if (value instanceof String && !SensitiveDataUtils.isMaskedValue((String) value)) {
                        updatedJson.put(key, value);
                    }
@@ -391,10 +369,10 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
                    updatedJson.put(key, value);
                }
            }
-    
+
            modelConfigEntity.setConfigJson(updatedJson);
        }
-    
+
        return modelConfigEntity;
    }

@@ -516,4 +494,12 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
            }
        }
    }
+
+    /**
+     * 获取符合条件的TTS平台列表
+     */
+    @Override
+    public List<Map<String, Object>> getTtsPlatformList() {
+        return modelConfigDao.getTtsPlatformList();
+    }
 }
@@ -22,6 +22,8 @@ import xiaozhi.common.page.PageData;
 import xiaozhi.common.service.impl.BaseServiceImpl;
 import xiaozhi.common.user.UserDetail;
 import xiaozhi.common.utils.ConvertUtils;
+import xiaozhi.modules.knowledge.dao.KnowledgeBaseDao;
+import xiaozhi.modules.knowledge.entity.KnowledgeBaseEntity;
 import xiaozhi.modules.model.dao.ModelProviderDao;
 import xiaozhi.modules.model.dto.ModelProviderDTO;
 import xiaozhi.modules.model.entity.ModelProviderEntity;
@@ -34,13 +36,43 @@ public class ModelProviderServiceImpl extends BaseServiceImpl<ModelProviderDao,
        implements ModelProviderService {

    private final ModelProviderDao modelProviderDao;
+    private final KnowledgeBaseDao knowledgeBaseDao;

    @Override
    public List<ModelProviderDTO> getPluginList() {
+        // 1. 获取插件列表
        LambdaQueryWrapper<ModelProviderEntity> queryWrapper = new LambdaQueryWrapper<>();
        queryWrapper.eq(ModelProviderEntity::getModelType, "Plugin");
        List<ModelProviderEntity> providerEntities = modelProviderDao.selectList(queryWrapper);
-        return ConvertUtils.sourceToTarget(providerEntities, ModelProviderDTO.class);
+        List<ModelProviderDTO> resultList = ConvertUtils.sourceToTarget(providerEntities, ModelProviderDTO.class);
+
+        // 2. 获取当前用户的知识库列表并追加到结果中
+        UserDetail userDetail = SecurityUser.getUser();
+        if (userDetail != null && userDetail.getId() != null) {
+            // 查询当前用户的知识库
+            LambdaQueryWrapper<KnowledgeBaseEntity> kbQueryWrapper = new LambdaQueryWrapper<>();
+            kbQueryWrapper.eq(KnowledgeBaseEntity::getCreator, userDetail.getId());
+            kbQueryWrapper.eq(KnowledgeBaseEntity::getStatus, 1); // 只获取启用状态的知识库
+            List<KnowledgeBaseEntity> knowledgeBases = knowledgeBaseDao.selectList(kbQueryWrapper);
+
+            // 将知识库转换为ModelProviderDTO格式并添加到结果列表
+            for (KnowledgeBaseEntity kb : knowledgeBases) {
+                ModelProviderDTO dto = new ModelProviderDTO();
+                dto.setId(kb.getId());
+                dto.setModelType("Rag");
+                dto.setName("[知识库]" + kb.getName());
+                dto.setProviderCode("ragflow"); // 假设所有RAG都使用ragflow
+                dto.setFields("[]");
+                dto.setSort(0);
+                dto.setCreateDate(kb.getCreatedAt());
+                dto.setUpdateDate(kb.getUpdatedAt());
+                dto.setCreator(0L);
+                dto.setUpdater(0L);
+                resultList.add(dto);
+            }
+        }
+
+        return resultList;
    }

    @Override
@@ -91,6 +91,7 @@ public class ShiroConfig {
        filterMap.put("/agent/chat-history/download/**", "anon");
        filterMap.put("/agent/saveMemory/**", "server");
        filterMap.put("/agent/play/**", "anon");
+        filterMap.put("/voiceClone/play/**", "anon");
        filterMap.put("/**", "oauth2");
        shiroFilter.setFilterChainDefinitionMap(filterMap);

@@ -100,7 +100,7 @@ public class WebMvcConfig implements WebMvcConfigurer {
        converter.setObjectMapper(mapper);
        return converter;
    }
-    
+
    /**
     * 国际化配置 - 根据请求头中的Accept-Language设置语言环境
     */
@@ -113,14 +113,14 @@ public class WebMvcConfig implements WebMvcConfigurer {
                if (acceptLanguage == null || acceptLanguage.isEmpty()) {
                    return Locale.getDefault();
                }
-                
+
                // 解析Accept-Language请求头中的首选语言
                String[] languages = acceptLanguage.split(",");
                if (languages.length > 0) {
                    // 提取第一个语言代码，去除可能的质量值(q=...)
                    String[] parts = languages[0].split(";" + "\\s*");
                    String primaryLanguage = parts[0].trim();
-                     
+
                    // 根据前端发送的语言代码直接创建Locale对象
                    if (primaryLanguage.equals("zh-CN")) {
                        return Locale.SIMPLIFIED_CHINESE;
@@ -128,15 +128,25 @@ public class WebMvcConfig implements WebMvcConfigurer {
                        return Locale.TRADITIONAL_CHINESE;
                    } else if (primaryLanguage.equals("en-US")) {
                        return Locale.US;
+                    } else if (primaryLanguage.equals("de-DE")) {
+                        return Locale.GERMANY;
+                    } else if (primaryLanguage.equals("vi-VN")) {
+                        return Locale.forLanguageTag("vi-VN");
                    } else if (primaryLanguage.startsWith("zh")) {
                        // 对于其他中文变体，默认使用简体中文
                        return Locale.SIMPLIFIED_CHINESE;
                    } else if (primaryLanguage.startsWith("en")) {
                        // 对于其他英文变体，默认使用美式英语
                        return Locale.US;
+                    } else if (primaryLanguage.startsWith("de")) {
+                        // 对于其他德语变体，默认使用德语
+                        return Locale.GERMANY;
+                    } else if (primaryLanguage.startsWith("vi")) {
+                        // 对于其他越南语变体，默认使用越南语
+                        return Locale.forLanguageTag("vi-VN");
                    }
                }
-                
+
                // 如果没有匹配的语言，使用默认语言
                return Locale.getDefault();
            }
@@ -6,6 +6,7 @@ import java.util.HashMap;
 import java.util.List;
 import java.util.Map;

+import org.apache.commons.lang3.StringUtils;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PostMapping;
 import org.springframework.web.bind.annotation.PutMapping;
@@ -23,7 +24,9 @@ import xiaozhi.common.exception.ErrorCode;
 import xiaozhi.common.exception.RenException;
 import xiaozhi.common.page.TokenDTO;
 import xiaozhi.common.user.UserDetail;
+import xiaozhi.common.utils.JsonUtils;
 import xiaozhi.common.utils.Result;
+import xiaozhi.common.utils.Sm2DecryptUtil;
 import xiaozhi.common.validator.AssertUtils;
 import xiaozhi.common.validator.ValidatorUtils;
 import xiaozhi.modules.security.dto.LoginDTO;
@@ -32,8 +35,6 @@ import xiaozhi.modules.security.password.PasswordUtils;
 import xiaozhi.modules.security.service.CaptchaService;
 import xiaozhi.modules.security.service.SysUserTokenService;
 import xiaozhi.modules.security.user.SecurityUser;
-import xiaozhi.common.utils.Sm2DecryptUtil;
-import org.apache.commons.lang3.StringUtils;
 import xiaozhi.modules.sys.dto.PasswordDTO;
 import xiaozhi.modules.sys.dto.RetrievePasswordDTO;
 import xiaozhi.modules.sys.dto.SysUserDTO;
@@ -89,13 +90,13 @@ public class LoginController {
    @Operation(summary = "登录")
    public Result<TokenDTO> login(@RequestBody LoginDTO login) {
        String password = login.getPassword();
-        
+
        // 使用工具类解密并验证验证码
        String actualPassword = Sm2DecryptUtil.decryptAndValidateCaptcha(
                password, login.getCaptchaId(), captchaService, sysParamsService);
-        
+
        login.setPassword(actualPassword);
-        
+
        // 按照用户名获取用户
        SysUserDTO userDTO = sysUserService.getByUsername(login.getUsername());
        // 判断用户是否存在
@@ -108,8 +109,6 @@ public class LoginController {
        }
        return sysUserTokenService.createToken(userDTO.getId());
    }
-    
-

    @PostMapping("/register")
    @Operation(summary = "注册")
@@ -117,15 +116,15 @@ public class LoginController {
        if (!sysUserService.getAllowUserRegister()) {
            throw new RenException(ErrorCode.USER_REGISTER_DISABLED);
        }
-        
+
        String password = login.getPassword();
-        
+
        // 使用工具类解密并验证验证码
        String actualPassword = Sm2DecryptUtil.decryptAndValidateCaptcha(
                password, login.getCaptchaId(), captchaService, sysParamsService);
-        
+
        login.setPassword(actualPassword);
-        
+
        // 是否开启手机注册
        Boolean isMobileRegister = sysParamsService
                .getValueObject(Constant.SysMSMParam.SERVER_ENABLE_MOBILE_REGISTER.getValue(), Boolean.class);
@@ -204,11 +203,11 @@ public class LoginController {
        }

        String password = dto.getPassword();
-        
+
        // 使用工具类解密并验证验证码
        String actualPassword = Sm2DecryptUtil.decryptAndValidateCaptcha(
                password, dto.getCaptchaId(), captchaService, sysParamsService);
-        
+
        dto.setPassword(actualPassword);

        sysUserService.changePasswordDirectly(userDTO.getId(), dto.getPassword());
@@ -229,7 +228,7 @@ public class LoginController {
        config.put("beianIcpNum", sysParamsService.getValue(Constant.SysBaseParam.BEIAN_ICP_NUM.getValue(), true));
        config.put("beianGaNum", sysParamsService.getValue(Constant.SysBaseParam.BEIAN_GA_NUM.getValue(), true));
        config.put("name", sysParamsService.getValue(Constant.SysBaseParam.SERVER_NAME.getValue(), true));
-        
+
        // SM2公钥
        String publicKey = sysParamsService.getValue(Constant.SM2_PUBLIC_KEY, true);
        if (StringUtils.isBlank(publicKey)) {
@@ -237,6 +236,12 @@ public class LoginController {
        }
        config.put("sm2PublicKey", publicKey);

+        // 获取system-web.menu参数配置
+        String menuConfig = sysParamsService.getValue("system-web.menu", true);
+        if (StringUtils.isNotBlank(menuConfig)) {
+            config.put("systemWebMenu", JsonUtils.parseObject(menuConfig, Object.class));
+        }
+
        return new Result<Map<String, Object>>().ok(config);
    }
 }
@@ -174,7 +174,7 @@ public class SysParamsController {
            return;
        }
        if (StringUtils.isBlank(url) || url.equals("null")) {
-            throw new RenException(ErrorCode.OTA_URL_EMPTY);
+            return;
        }

        // 检查是否包含localhost或127.0.0.1
@@ -211,7 +211,7 @@ public class SysParamsController {
            return;
        }
        if (StringUtils.isBlank(url) || url.equals("null")) {
-            throw new RenException(ErrorCode.MCP_URL_EMPTY);
+            return;
        }
        if (url.contains("localhost") || url.contains("127.0.0.1")) {
            throw new RenException(ErrorCode.MCP_URL_LOCALHOST);
@@ -242,7 +242,7 @@ public class SysParamsController {
            return;
        }
        if (StringUtils.isBlank(url) || url.equals("null")) {
-            throw new RenException(ErrorCode.VOICEPRINT_URL_EMPTY);
+            return;
        }
        if (url.contains("localhost") || url.contains("127.0.0.1")) {
            throw new RenException(ErrorCode.VOICEPRINT_URL_LOCALHOST);
@@ -197,10 +197,31 @@ public class SysUserServiceImpl extends BaseServiceImpl<SysUserDao, SysUserEntit
     */
    private String generatePassword() {
        StringBuilder password = new StringBuilder();
-        for (int i = 0; i < 12; i++) {
+        
+        // 确保包含至少一个数字
+        password.append("0123456789".charAt(random.nextInt(10)));
+        // 确保包含至少一个小写字母
+        password.append("abcdefghijklmnopqrstuvwxyz".charAt(random.nextInt(26)));
+        // 确保包含至少一个大写字母
+        password.append("ABCDEFGHIJKLMNOPQRSTUVWXYZ".charAt(random.nextInt(26)));
+        // 确保包含至少一个特殊符号
+        password.append("!@#$%^&*()".charAt(random.nextInt(10)));
+        
+        // 生成剩余的8个字符
+        for (int i = 4; i < 12; i++) {
            password.append(CHARACTERS.charAt(random.nextInt(CHARACTERS.length())));
        }
-        return password.toString();
+        
+        // 打乱密码中字符的顺序
+        char[] passwordChars = password.toString().toCharArray();
+        for (int i = 0; i < passwordChars.length; i++) {
+            int randomIndex = random.nextInt(passwordChars.length);
+            char temp = passwordChars[i];
+            passwordChars[i] = passwordChars[randomIndex];
+            passwordChars[randomIndex] = temp;
+        }
+        
+        return new String(passwordChars);
    }

    @Override
@@ -64,4 +64,13 @@ public interface TimbreService extends BaseService<TimbreEntity> {
     * @return 音色名称
     */
    String getTimbreNameById(String id);
+
+    /**
+     * 根据音色编码获取音色信息
+     * 
+     * @param ttsModelId 音色模型ID
+     * @param voiceCode  音色编码
+     * @return 音色信息
+     */
+    VoiceDTO getByVoiceCode(String ttsModelId, String voiceCode);
 }
@@ -1,9 +1,11 @@
 package xiaozhi.modules.timbre.service.impl;

+import java.util.ArrayList;
 import java.util.Arrays;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
+import java.util.stream.Collectors;

 import org.apache.commons.lang3.StringUtils;
 import org.springframework.stereotype.Service;
@@ -15,18 +17,23 @@ import com.baomidou.mybatisplus.core.metadata.IPage;
 import cn.hutool.core.collection.CollectionUtil;
 import lombok.AllArgsConstructor;
 import xiaozhi.common.constant.Constant;
+import xiaozhi.common.exception.ErrorCode;
 import xiaozhi.common.page.PageData;
 import xiaozhi.common.redis.RedisKeys;
 import xiaozhi.common.redis.RedisUtils;
 import xiaozhi.common.service.impl.BaseServiceImpl;
 import xiaozhi.common.utils.ConvertUtils;
+import xiaozhi.common.utils.MessageUtils;
 import xiaozhi.modules.model.dto.VoiceDTO;
+import xiaozhi.modules.security.user.SecurityUser;
 import xiaozhi.modules.timbre.dao.TimbreDao;
 import xiaozhi.modules.timbre.dto.TimbreDataDTO;
 import xiaozhi.modules.timbre.dto.TimbrePageDTO;
 import xiaozhi.modules.timbre.entity.TimbreEntity;
 import xiaozhi.modules.timbre.service.TimbreService;
 import xiaozhi.modules.timbre.vo.TimbreDetailsVO;
+import xiaozhi.modules.voiceclone.dao.VoiceCloneDao;
+import xiaozhi.modules.voiceclone.entity.VoiceCloneEntity;

 /**
 * 音色的业务层的实现
@@ -39,6 +46,7 @@ import xiaozhi.modules.timbre.vo.TimbreDetailsVO;
 public class TimbreServiceImpl extends BaseServiceImpl<TimbreDao, TimbreEntity> implements TimbreService {

    private final TimbreDao timbreDao;
+    private final VoiceCloneDao voiceCloneDao;
    private final RedisUtils redisUtils;

    @Override
@@ -121,11 +129,36 @@ public class TimbreServiceImpl extends BaseServiceImpl<TimbreDao, TimbreEntity>
            queryWrapper.like("name", voiceName);
        }
        List<TimbreEntity> timbreEntities = timbreDao.selectList(queryWrapper);
-        if (CollectionUtil.isEmpty(timbreEntities)) {
-            return null;
+        if (timbreEntities == null) {
+            timbreEntities = new ArrayList<>();
+        }
+        List<VoiceDTO> voiceDTOs = timbreEntities.stream()
+                .map(entity -> {
+                    VoiceDTO dto = new VoiceDTO(entity.getId(), entity.getName());
+                    dto.setVoiceDemo(entity.getVoiceDemo());
+                    return dto;
+                })
+                .collect(Collectors.toList());
+
+        // 获取当前登录用户ID
+        Long currentUserId = SecurityUser.getUser().getId();
+        if (currentUserId != null) {
+            // 查询用户的所有克隆音色记录
+            List<VoiceDTO> cloneEntities = voiceCloneDao.getTrainSuccess(ttsModelId, currentUserId);
+            for (VoiceDTO entity : cloneEntities) {
+                // 只添加训练成功的克隆音色，且模型ID匹配
+                VoiceDTO voiceDTO = new VoiceDTO();
+                voiceDTO.setId(entity.getId());
+                voiceDTO.setName(MessageUtils.getMessage(ErrorCode.VOICE_CLONE_PREFIX) + entity.getName());
+                // 保留从数据库查询到的voiceDemo字段
+                voiceDTO.setVoiceDemo(entity.getVoiceDemo());
+                redisUtils.set(RedisKeys.getTimbreNameById(voiceDTO.getId()), voiceDTO.getName(),
+                        RedisUtils.NOT_EXPIRE);
+                voiceDTOs.add(0, voiceDTO);
+            }
        }

-        return ConvertUtils.sourceToTarget(timbreEntities, VoiceDTO.class);
+        return CollectionUtil.isEmpty(voiceDTOs) ? null : voiceDTOs;
    }

    /**
@@ -154,8 +187,33 @@ public class TimbreServiceImpl extends BaseServiceImpl<TimbreDao, TimbreEntity>
                redisUtils.set(RedisKeys.getTimbreNameById(id), name);
            }
            return name;
+        } else {
+            VoiceCloneEntity cloneEntity = voiceCloneDao.selectById(id);
+            if (cloneEntity != null) {
+                String name = MessageUtils.getMessage(ErrorCode.VOICE_CLONE_PREFIX) + cloneEntity.getName();
+                redisUtils.set(RedisKeys.getTimbreNameById(id), name);
+                return name;
+            }
        }

        return null;
    }
+
+    @Override
+    public VoiceDTO getByVoiceCode(String ttsModelId, String voiceCode) {
+        if (StringUtils.isBlank(voiceCode)) {
+            return null;
+        }
+        QueryWrapper<TimbreEntity> queryWrapper = new QueryWrapper<>();
+        queryWrapper.eq("tts_model_id", ttsModelId);
+        queryWrapper.eq("tts_voice", voiceCode);
+        List<TimbreEntity> list = timbreDao.selectList(queryWrapper);
+        if (list.isEmpty()) {
+            return null;
+        }
+        TimbreEntity entity = list.get(0);
+        VoiceDTO dto = new VoiceDTO(entity.getId(), entity.getName());
+        dto.setVoiceDemo(entity.getVoiceDemo());
+        return dto;
+    }
 }
@@ -0,0 +1,193 @@
+package xiaozhi.modules.voiceclone.controller;
+
+import java.util.Map;
+import java.util.UUID;
+
+import org.apache.commons.lang3.StringUtils;
+import org.apache.shiro.authz.annotation.RequiresPermissions;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestBody;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+import org.springframework.web.multipart.MultipartFile;
+
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.Parameters;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import jakarta.servlet.http.HttpServletResponse;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import xiaozhi.common.constant.Constant;
+import xiaozhi.common.exception.ErrorCode;
+import xiaozhi.common.exception.RenException;
+import xiaozhi.common.page.PageData;
+import xiaozhi.common.redis.RedisKeys;
+import xiaozhi.common.redis.RedisUtils;
+import xiaozhi.common.user.UserDetail;
+import xiaozhi.common.utils.Result;
+import xiaozhi.common.validator.ValidatorUtils;
+import xiaozhi.modules.security.user.SecurityUser;
+import xiaozhi.modules.voiceclone.dto.VoiceCloneResponseDTO;
+import xiaozhi.modules.voiceclone.entity.VoiceCloneEntity;
+import xiaozhi.modules.voiceclone.service.VoiceCloneService;
+
+@Tag(name = "音色资源管理", description = "音色资源开通相关接口")
+@Slf4j
+@RestController
+@RequiredArgsConstructor
+@RequestMapping("/voiceClone")
+public class VoiceCloneController {
+
+    private final VoiceCloneService voiceCloneService;
+    private final RedisUtils redisUtils;
+
+    @GetMapping
+    @Operation(summary = "分页查询音色资源")
+    @Parameters({
+            @Parameter(name = Constant.PAGE, description = "当前页码，从1开始", required = true),
+            @Parameter(name = Constant.LIMIT, description = "每页显示记录数", required = true)
+    })
+    @RequiresPermissions("sys:role:normal")
+    public Result<PageData<VoiceCloneResponseDTO>> page(
+            @Parameter(hidden = true) @RequestParam Map<String, Object> params) {
+        ValidatorUtils.validateEntity(params);
+        UserDetail user = SecurityUser.getUser();
+        params.put("userId", user.getId().toString());
+        PageData<VoiceCloneResponseDTO> page = voiceCloneService.pageWithNames(params);
+        return new Result<PageData<VoiceCloneResponseDTO>>().ok(page);
+    }
+
+    @PostMapping("/upload")
+    @Operation(summary = "上传音频进行声音克隆")
+    @Parameters({
+            @Parameter(name = "id", description = "声音克隆记录ID", required = true),
+            @Parameter(name = "voiceFile", description = "音频文件", required = true)
+    })
+    @RequiresPermissions("sys:role:normal")
+    public Result<String> uploadVoice(
+            @RequestParam("id") String id,
+            @RequestParam("voiceFile") MultipartFile voiceFile) {
+        try {
+            // 验证文件
+            if (voiceFile == null || voiceFile.isEmpty()) {
+                return new Result<String>().error(ErrorCode.VOICE_CLONE_AUDIO_EMPTY);
+            }
+
+            // 验证文件类型
+            String contentType = voiceFile.getContentType();
+            if (contentType == null || !contentType.startsWith("audio/")) {
+                return new Result<String>().error(ErrorCode.VOICE_CLONE_NOT_AUDIO_FILE);
+            }
+
+            // 验证文件大小 (最大10MB)
+            if (voiceFile.getSize() > 10 * 1024 * 1024) {
+                return new Result<String>().error(ErrorCode.VOICE_CLONE_AUDIO_TOO_LARGE);
+            }
+            // 检查权限
+            checkPermission(id);
+            // 调用服务层处理
+            voiceCloneService.uploadVoice(id, voiceFile);
+
+            return new Result<String>();
+        } catch (Exception e) {
+            return new Result<String>().error(ErrorCode.VOICE_CLONE_UPLOAD_FAILED, e.getMessage());
+        }
+    }
+
+    @PostMapping("/updateName")
+    @Operation(summary = "更新声音克隆名称")
+    @RequiresPermissions("sys:role:normal")
+    public Result<String> updateName(@RequestBody Map<String, String> params) {
+        try {
+            String id = params.get("id");
+            String name = params.get("name");
+
+            if (id == null || id.isEmpty()) {
+                return new Result<String>().error(ErrorCode.IDENTIFIER_NOT_NULL);
+            }
+            if (name == null || name.isEmpty()) {
+                return new Result<String>().error(ErrorCode.VOICE_CLONE_NAME_NOT_NULL);
+            }
+            // 检查权限
+            checkPermission(id);
+
+            voiceCloneService.updateName(id, name);
+            redisUtils.delete(RedisKeys.getTimbreNameById(id));
+            return new Result<String>();
+        } catch (Exception e) {
+            return new Result<String>().error(ErrorCode.UPDATE_DATA_FAILED, e.getMessage());
+        }
+    }
+
+    @PostMapping("/audio/{id}")
+    @Operation(summary = "获取音频下载ID")
+    @RequiresPermissions("sys:role:normal")
+    public Result<String> getAudioId(@PathVariable("id") String id) {
+        // 检查权限
+        checkPermission(id);
+        byte[] audioData = voiceCloneService.getVoiceData(id);
+        if (audioData == null) {
+            return new Result<String>().error(ErrorCode.VOICE_CLONE_AUDIO_NOT_FOUND);
+        }
+        String uuid = UUID.randomUUID().toString();
+        redisUtils.set(RedisKeys.getVoiceCloneAudioIdKey(uuid), id);
+        return new Result<String>().ok(uuid);
+    }
+
+    @GetMapping("/play/{uuid}")
+    @Operation(summary = "播放音频")
+    public void playVoice(@PathVariable("uuid") String uuid, HttpServletResponse response) {
+        try {
+            String id = (String) redisUtils.get(RedisKeys.getVoiceCloneAudioIdKey(uuid));
+            redisUtils.delete(RedisKeys.getVoiceCloneAudioIdKey(uuid));
+            if (StringUtils.isBlank(id)) {
+                response.setStatus(HttpServletResponse.SC_NOT_FOUND);
+                return;
+            }
+            // 获取音频数据
+            byte[] voiceData = voiceCloneService.getVoiceData(id);
+
+            if (voiceData == null || voiceData.length == 0) {
+                response.setStatus(HttpServletResponse.SC_NOT_FOUND);
+                return;
+            }
+
+            // 设置响应头
+            response.setContentType("audio/wav");
+            response.setContentLength(voiceData.length);
+            response.setHeader("Content-Disposition", "inline; filename=voice.wav");
+
+            // 写入音频数据
+            response.getOutputStream().write(voiceData);
+            response.getOutputStream().flush();
+        } catch (Exception e) {
+            log.error("播放音频失败", e);
+            response.setStatus(HttpServletResponse.SC_INTERNAL_SERVER_ERROR);
+        }
+    }
+
+    @PostMapping("/cloneAudio")
+    @Operation(summary = "复刻音频")
+    @RequiresPermissions("sys:role:normal")
+    public Result<String> cloneAudio(@RequestBody Map<String, String> params) {
+        String cloneId = params.get("cloneId");
+        checkPermission(cloneId);
+        // 调用服务层进行语音克隆训练
+        voiceCloneService.cloneAudio(cloneId);
+        return new Result<String>();
+    }
+
+    private void checkPermission(String id) {
+        VoiceCloneEntity voiceClone = voiceCloneService.selectById(id);
+        if (voiceClone == null) {
+            throw new RenException(ErrorCode.VOICE_CLONE_RECORD_NOT_EXIST);
+        }
+        if (!voiceClone.getUserId().equals(SecurityUser.getUser().getId())) {
+            throw new RenException(ErrorCode.VOICE_RESOURCE_NO_PERMISSION);
+        }
+    }
+}
@@ -0,0 +1,116 @@
+package xiaozhi.modules.voiceclone.controller;
+
+import java.util.List;
+import java.util.Map;
+
+import org.apache.shiro.authz.annotation.RequiresPermissions;
+import org.springframework.web.bind.annotation.DeleteMapping;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestBody;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+import io.swagger.v3.oas.annotations.Operation;
+import io.swagger.v3.oas.annotations.Parameter;
+import io.swagger.v3.oas.annotations.Parameters;
+import io.swagger.v3.oas.annotations.tags.Tag;
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import xiaozhi.common.constant.Constant;
+import xiaozhi.common.exception.ErrorCode;
+import xiaozhi.common.page.PageData;
+import xiaozhi.common.utils.Result;
+import xiaozhi.common.validator.ValidatorUtils;
+import xiaozhi.modules.model.service.ModelConfigService;
+import xiaozhi.modules.voiceclone.dto.VoiceCloneDTO;
+import xiaozhi.modules.voiceclone.dto.VoiceCloneResponseDTO;
+import xiaozhi.modules.voiceclone.service.VoiceCloneService;
+
+@Tag(name = "音色资源管理", description = "音色资源开通相关接口")
+@Slf4j
+@RestController
+@RequiredArgsConstructor
+@RequestMapping("/voiceResource")
+public class VoiceResourceController {
+
+    private final VoiceCloneService voiceCloneService;
+    private final ModelConfigService modelConfigService;
+
+    @GetMapping
+    @Operation(summary = "分页查询音色资源")
+    @Parameters({
+            @Parameter(name = Constant.PAGE, description = "当前页码，从1开始", required = true),
+            @Parameter(name = Constant.LIMIT, description = "每页显示记录数", required = true)
+    })
+    @RequiresPermissions("sys:role:superAdmin")
+    public Result<PageData<VoiceCloneResponseDTO>> page(
+            @Parameter(hidden = true) @RequestParam Map<String, Object> params) {
+        ValidatorUtils.validateEntity(params);
+        PageData<VoiceCloneResponseDTO> page = voiceCloneService.pageWithNames(params);
+        return new Result<PageData<VoiceCloneResponseDTO>>().ok(page);
+    }
+
+    @GetMapping("{id}")
+    @Operation(summary = "获取音色资源详情")
+    @RequiresPermissions("sys:role:superAdmin")
+    public Result<VoiceCloneResponseDTO> get(@PathVariable("id") String id) {
+        VoiceCloneResponseDTO data = voiceCloneService.getByIdWithNames(id);
+        return new Result<VoiceCloneResponseDTO>().ok(data);
+    }
+
+    @PostMapping
+    @Operation(summary = "新增音色资源")
+    @RequiresPermissions("sys:role:superAdmin")
+    public Result<Void> save(@RequestBody VoiceCloneDTO dto) {
+        if (dto == null) {
+            return new Result<Void>().error(ErrorCode.VOICE_RESOURCE_INFO_EMPTY);
+        }
+        if (dto.getModelId() == null || dto.getModelId().isEmpty()) {
+            return new Result<Void>().error(ErrorCode.VOICE_RESOURCE_PLATFORM_NAME_EMPTY);
+        }
+        if (dto.getVoiceIds() == null || dto.getVoiceIds().isEmpty()) {
+            return new Result<Void>().error(ErrorCode.VOICE_RESOURCE_ID_EMPTY);
+        }
+        if (dto.getUserId() == null) {
+            return new Result<Void>().error(ErrorCode.VOICE_RESOURCE_ACCOUNT_EMPTY);
+        }
+        try {
+            voiceCloneService.save(dto);
+            return new Result<Void>();
+        } catch (xiaozhi.common.exception.RenException e) {
+            return new Result<Void>().error(e.getCode(), e.getMsg());
+        } catch (RuntimeException e) {
+            return new Result<Void>().error(ErrorCode.ADD_DATA_FAILED, e.getMessage());
+        }
+    }
+
+    @DeleteMapping("/{id}")
+    @Operation(summary = "删除音色资源")
+    @RequiresPermissions("sys:role:superAdmin")
+    public Result<Void> delete(@PathVariable("id") String[] ids) {
+        if (ids == null || ids.length == 0) {
+            return new Result<Void>().error(ErrorCode.VOICE_RESOURCE_DELETE_ID_EMPTY);
+        }
+        voiceCloneService.delete(ids);
+        return new Result<Void>();
+    }
+
+    @GetMapping("/user/{userId}")
+    @Operation(summary = "根据用户ID获取音色资源列表")
+    @RequiresPermissions("sys:role:normal")
+    public Result<List<VoiceCloneResponseDTO>> getByUserId(@PathVariable("userId") Long userId) {
+        List<VoiceCloneResponseDTO> list = voiceCloneService.getByUserIdWithNames(userId);
+        return new Result<List<VoiceCloneResponseDTO>>().ok(list);
+    }
+
+    @GetMapping("/ttsPlatforms")
+    @Operation(summary = "获取TTS平台列表")
+    @RequiresPermissions("sys:role:superAdmin")
+    public Result<List<Map<String, Object>>> getTtsPlatformList() {
+        List<Map<String, Object>> list = modelConfigService.getTtsPlatformList();
+        return new Result<List<Map<String, Object>>>().ok(list);
+    }
+}
@@ -0,0 +1,26 @@
+package xiaozhi.modules.voiceclone.dao;
+
+import java.util.List;
+
+import org.apache.ibatis.annotations.Mapper;
+
+import com.baomidou.mybatisplus.core.mapper.BaseMapper;
+
+import xiaozhi.modules.model.dto.VoiceDTO;
+import xiaozhi.modules.voiceclone.entity.VoiceCloneEntity;
+
+/**
+ * 声音克隆
+ */
+@Mapper
+public interface VoiceCloneDao extends BaseMapper<VoiceCloneEntity> {
+    /**
+     * 获取用户训练成功的音色列表
+     * 
+     * @param modelId 模型ID
+     * @param userId  用户ID
+     * @return 训练成功的音色列表
+     */
+    List<VoiceDTO> getTrainSuccess(String modelId, Long userId);
+
+}
@@ -0,0 +1,20 @@
+package xiaozhi.modules.voiceclone.dto;
+
+import java.util.List;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+@Data
+@Schema(description = "声音克隆DTO")
+public class VoiceCloneDTO {
+
+    @Schema(description = "模型ID")
+    private String modelId;
+
+    @Schema(description = "音色ID列表")
+    private List<String> voiceIds;
+
+    @Schema(description = "用户ID")
+    private Long userId;
+}
@@ -0,0 +1,48 @@
+package xiaozhi.modules.voiceclone.dto;
+
+import java.util.Date;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/**
+ * 声音克隆响应DTO
+ * 用于向前端展示声音克隆信息，包含模型名称和用户名称
+ */
+@Data
+@Schema(description = "声音克隆响应DTO")
+public class VoiceCloneResponseDTO {
+
+    @Schema(description = "唯一标识")
+    private String id;
+
+    @Schema(description = "声音名称")
+    private String name;
+
+    @Schema(description = "模型id")
+    private String modelId;
+
+    @Schema(description = "模型名称")
+    private String modelName;
+
+    @Schema(description = "声音id")
+    private String voiceId;
+
+    @Schema(description = "用户ID（关联用户表）")
+    private Long userId;
+
+    @Schema(description = "用户名称")
+    private String userName;
+
+    @Schema(description = "训练状态：0待训练 1训练中 2训练成功 3训练失败")
+    private Integer trainStatus;
+
+    @Schema(description = "训练错误原因")
+    private String trainError;
+
+    @Schema(description = "创建时间")
+    private Date createDate;
+
+    @Schema(description = "是否有音频数据")
+    private Boolean hasVoice;
+}
@@ -0,0 +1,53 @@
+package xiaozhi.modules.voiceclone.entity;
+
+import java.util.Date;
+
+import com.baomidou.mybatisplus.annotation.FieldFill;
+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;
+import lombok.EqualsAndHashCode;
+
+@Data
+@EqualsAndHashCode(callSuper = false)
+@TableName("ai_voice_clone")
+@Schema(description = "声音克隆")
+public class VoiceCloneEntity {
+
+    @TableId(type = IdType.ASSIGN_UUID)
+    @Schema(description = "唯一标识")
+    private String id;
+
+    @Schema(description = "声音名称")
+    private String name;
+
+    @Schema(description = "模型id")
+    private String modelId;
+
+    @Schema(description = "声音id")
+    private String voiceId;
+
+    @Schema(description = "用户 ID（关联用户表）")
+    private Long userId;
+
+    @Schema(description = "声音")
+    private byte[] voice;
+
+    @Schema(description = "训练状态：0待训练 1训练中 2训练成功 3训练失败")
+    private Integer trainStatus;
+
+    @Schema(description = "训练错误原因")
+    private String trainError;
+
+    @Schema(description = "创建者")
+    @TableField(fill = FieldFill.INSERT)
+    private Long creator;
+
+    @Schema(description = "创建时间")
+    @TableField(fill = FieldFill.INSERT)
+    private Date createDate;
+}
@@ -0,0 +1,78 @@
+package xiaozhi.modules.voiceclone.service;
+
+import java.util.List;
+import java.util.Map;
+
+import org.springframework.web.multipart.MultipartFile;
+
+import xiaozhi.common.page.PageData;
+import xiaozhi.common.service.BaseService;
+import xiaozhi.modules.voiceclone.dto.VoiceCloneDTO;
+import xiaozhi.modules.voiceclone.dto.VoiceCloneResponseDTO;
+import xiaozhi.modules.voiceclone.entity.VoiceCloneEntity;
+
+/**
+ * 声音克隆管理
+ */
+public interface VoiceCloneService extends BaseService<VoiceCloneEntity> {
+
+    /**
+     * 分页查询
+     */
+    PageData<VoiceCloneEntity> page(Map<String, Object> params);
+
+    /**
+     * 保存声音克隆
+     */
+    void save(VoiceCloneDTO dto);
+
+    /**
+     * 批量删除
+     */
+    void delete(String[] ids);
+
+    /**
+     * 根据用户ID查询声音克隆列表
+     * 
+     * @param userId 用户ID
+     * @return 声音克隆列表
+     */
+    List<VoiceCloneEntity> getByUserId(Long userId);
+
+    /**
+     * 分页查询带模型名称和用户名称的声音克隆列表
+     */
+    PageData<VoiceCloneResponseDTO> pageWithNames(Map<String, Object> params);
+
+    /**
+     * 根据ID查询带模型名称和用户名称的声音克隆信息
+     */
+    VoiceCloneResponseDTO getByIdWithNames(String id);
+
+    /**
+     * 根据用户ID查询带模型名称的声音克隆列表
+     */
+    List<VoiceCloneResponseDTO> getByUserIdWithNames(Long userId);
+
+    /**
+     * 上传音频文件
+     */
+    void uploadVoice(String id, MultipartFile voiceFile) throws Exception;
+
+    /**
+     * 更新声音克隆名称
+     */
+    void updateName(String id, String name);
+
+    /**
+     * 获取音频数据
+     */
+    byte[] getVoiceData(String id);
+
+    /**
+     * 克隆音频，调用火山引擎进行语音复刻训练
+     * 
+     * @param cloneId 语音克隆记录ID
+     */
+    void cloneAudio(String cloneId);
+}
@@ -0,0 +1,380 @@
+package xiaozhi.modules.voiceclone.service.impl;
+
+import java.net.URI;
+import java.net.http.HttpClient;
+import java.net.http.HttpRequest;
+import java.net.http.HttpResponse;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Base64;
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import org.apache.commons.lang3.StringUtils;
+import org.springframework.stereotype.Service;
+import org.springframework.transaction.annotation.Transactional;
+import org.springframework.web.multipart.MultipartFile;
+
+import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
+import com.baomidou.mybatisplus.core.metadata.IPage;
+import com.fasterxml.jackson.core.type.TypeReference;
+import com.fasterxml.jackson.databind.ObjectMapper;
+
+import lombok.RequiredArgsConstructor;
+import lombok.extern.slf4j.Slf4j;
+import xiaozhi.common.constant.Constant;
+import xiaozhi.common.exception.ErrorCode;
+import xiaozhi.common.exception.RenException;
+import xiaozhi.common.page.PageData;
+import xiaozhi.common.service.impl.BaseServiceImpl;
+import xiaozhi.common.utils.ConvertUtils;
+import xiaozhi.common.utils.DateUtils;
+import xiaozhi.modules.model.entity.ModelConfigEntity;
+import xiaozhi.modules.model.service.ModelConfigService;
+import xiaozhi.modules.sys.service.SysUserService;
+import xiaozhi.modules.voiceclone.dao.VoiceCloneDao;
+import xiaozhi.modules.voiceclone.dto.VoiceCloneDTO;
+import xiaozhi.modules.voiceclone.dto.VoiceCloneResponseDTO;
+import xiaozhi.modules.voiceclone.entity.VoiceCloneEntity;
+import xiaozhi.modules.voiceclone.service.VoiceCloneService;
+
+@Slf4j
+@Service
+@RequiredArgsConstructor
+public class VoiceCloneServiceImpl extends BaseServiceImpl<VoiceCloneDao, VoiceCloneEntity>
+        implements VoiceCloneService {
+
+    private final ModelConfigService modelConfigService;
+    private final SysUserService sysUserService;
+    private final ObjectMapper objectMapper;
+
+    @Override
+    public PageData<VoiceCloneEntity> page(Map<String, Object> params) {
+        IPage<VoiceCloneEntity> page = baseDao.selectPage(
+                getPage(params, "create_date", true),
+                getWrapper(params));
+
+        return new PageData<>(page.getRecords(), page.getTotal());
+    }
+
+    private QueryWrapper<VoiceCloneEntity> getWrapper(Map<String, Object> params) {
+        String name = (String) params.get("name");
+        String userId = (String) params.get("userId");
+
+        QueryWrapper<VoiceCloneEntity> wrapper = new QueryWrapper<>();
+        wrapper.eq(StringUtils.isNotBlank(userId), "user_id", userId);
+        if (StringUtils.isNotBlank(name)) {
+            wrapper.and(w -> w.like("name", name)
+                    .or().eq("voice_id", name));
+        }
+        return wrapper;
+    }
+
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public void save(VoiceCloneDTO dto) {
+        ModelConfigEntity modelConfig = modelConfigService.getModelByIdFromCache(dto.getModelId());
+        if (modelConfig == null || modelConfig.getConfigJson() == null) {
+            throw new RenException(ErrorCode.VOICE_CLONE_MODEL_CONFIG_NOT_FOUND);
+        }
+        Map<String, Object> config = modelConfig.getConfigJson();
+        String type = (String) config.get("type");
+        if (StringUtils.isBlank(type)) {
+            throw new RenException(ErrorCode.VOICE_CLONE_MODEL_TYPE_NOT_FOUND);
+        }
+
+        // 检查Voice ID是否已经被使用
+        for (String voiceId : dto.getVoiceIds()) {
+            if (StringUtils.isBlank(voiceId)) {
+                continue;
+            }
+            if (Constant.VOICE_CLONE_HUOSHAN_DOUBLE_STREAM.equals(type)) {
+                if (voiceId.indexOf("S_") == -1) {
+                    throw new RenException(ErrorCode.VOICE_CLONE_HUOSHAN_VOICE_ID_ERROR);
+                }
+            }
+
+            QueryWrapper<VoiceCloneEntity> wrapper = new QueryWrapper<>();
+            wrapper.eq("voice_id", voiceId);
+            wrapper.eq("model_id", dto.getModelId());
+            Long count = baseDao.selectCount(wrapper);
+            if (count > 0) {
+                throw new RenException(ErrorCode.VOICE_ID_ALREADY_EXISTS);
+            }
+        }
+
+        // 遍历选择的音色ID，为每个音色ID创建一条记录
+        int index = 0;
+        String namePrefix = DateUtils.format(new java.util.Date(), "MMddHHmm");
+        for (String voiceId : dto.getVoiceIds()) {
+            index++;
+            VoiceCloneEntity entity = new VoiceCloneEntity();
+            entity.setModelId(dto.getModelId());
+            entity.setVoiceId(voiceId);
+            entity.setName(namePrefix + "_" + index);
+            entity.setUserId(dto.getUserId());
+            entity.setTrainStatus(0); // 默认训练中
+
+            baseDao.insert(entity);
+        }
+    }
+
+    @Override
+    public void delete(String[] ids) {
+        baseDao.deleteBatchIds(Arrays.asList(ids));
+    }
+
+    @Override
+    public List<VoiceCloneEntity> getByUserId(Long userId) {
+        QueryWrapper<VoiceCloneEntity> wrapper = new QueryWrapper<>();
+        wrapper.eq("user_id", userId);
+        wrapper.orderByDesc("created_at");
+        return baseDao.selectList(wrapper);
+    }
+
+    @Override
+    public PageData<VoiceCloneResponseDTO> pageWithNames(Map<String, Object> params) {
+        // 先查询分页数据
+        IPage<VoiceCloneEntity> page = baseDao.selectPage(
+                getPage(params, "create_date", true),
+                getWrapper(params));
+
+        // 将实体列表转换为DTO列表
+        List<VoiceCloneResponseDTO> dtoList = convertToResponseDTOList(page.getRecords());
+
+        return new PageData<>(dtoList, page.getTotal());
+    }
+
+    @Override
+    public VoiceCloneResponseDTO getByIdWithNames(String id) {
+        VoiceCloneEntity entity = baseDao.selectById(id);
+        if (entity == null) {
+            return null;
+        }
+
+        VoiceCloneResponseDTO dto = ConvertUtils.sourceToTarget(entity, VoiceCloneResponseDTO.class);
+
+        // 设置模型名称
+        if (StringUtils.isNotBlank(entity.getModelId())) {
+            dto.setModelName(modelConfigService.getModelNameById(entity.getModelId()));
+        }
+
+        // 设置用户名称
+        if (entity.getUserId() != null) {
+            dto.setUserName(sysUserService.getByUserId(entity.getUserId()).getUsername());
+        }
+        
+        // 确保trainStatus字段被正确设置，前端需要这个字段来判断是否为克隆音频
+        dto.setTrainStatus(entity.getTrainStatus());
+
+        return dto;
+    }
+
+    @Override
+    public List<VoiceCloneResponseDTO> getByUserIdWithNames(Long userId) {
+        List<VoiceCloneEntity> entityList = getByUserId(userId);
+        return convertToResponseDTOList(entityList);
+    }
+
+    /**
+     * 将VoiceCloneEntity列表转换为VoiceCloneResponseDTO列表
+     */
+    private List<VoiceCloneResponseDTO> convertToResponseDTOList(List<VoiceCloneEntity> entityList) {
+        if (entityList == null || entityList.isEmpty()) {
+            return new ArrayList<>();
+        }
+
+        List<VoiceCloneResponseDTO> dtoList = new ArrayList<>(entityList.size());
+
+        // 转换每个实体为DTO
+        for (VoiceCloneEntity entity : entityList) {
+            VoiceCloneResponseDTO dto = ConvertUtils.sourceToTarget(entity, VoiceCloneResponseDTO.class);
+
+            // 设置模型名称
+            if (StringUtils.isNotBlank(entity.getModelId())) {
+                dto.setModelName(modelConfigService.getModelNameById(entity.getModelId()));
+            }
+
+            // 设置用户名称
+            if (entity.getUserId() != null) {
+                dto.setUserName(sysUserService.getByUserId(entity.getUserId()).getUsername());
+            }
+            
+            // 确保trainStatus字段被正确设置，前端需要这个字段来判断是否为克隆音频
+            dto.setTrainStatus(entity.getTrainStatus());
+
+            // 设置是否有音频数据
+            dto.setHasVoice(entity.getVoice() != null);
+
+            dtoList.add(dto);
+        }
+
+        return dtoList;
+    }
+
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public void uploadVoice(String id, MultipartFile voiceFile) throws Exception {
+        // 查询声音克隆记录
+        VoiceCloneEntity entity = baseDao.selectById(id);
+        if (entity == null) {
+            throw new RenException(ErrorCode.VOICE_CLONE_RECORD_NOT_EXIST);
+        }
+
+        // 读取音频文件并转为字节数组
+        byte[] voiceData = voiceFile.getBytes();
+
+        // 更新voice字段
+        entity.setVoice(voiceData);
+        // 更新训练状态为待训练
+        entity.setTrainStatus(0);
+
+        // 保存到数据库
+        baseDao.updateById(entity);
+    }
+
+    @Override
+    @Transactional(rollbackFor = Exception.class)
+    public void updateName(String id, String name) {
+        // 查询声音克隆记录
+        VoiceCloneEntity entity = baseDao.selectById(id);
+        if (entity == null) {
+            throw new RenException(ErrorCode.VOICE_CLONE_RECORD_NOT_EXIST);
+        }
+
+        // 更新名称
+        entity.setName(name);
+        baseDao.updateById(entity);
+    }
+
+    @Override
+    public byte[] getVoiceData(String id) {
+        VoiceCloneEntity entity = baseDao.selectById(id);
+        if (entity == null) {
+            return null;
+        }
+        return entity.getVoice();
+    }
+
+    @Override
+    // @Transactional(rollbackFor = Exception.class)
+    public void cloneAudio(String cloneId) {
+        VoiceCloneEntity entity = baseDao.selectById(cloneId);
+        if (entity == null) {
+            throw new RenException(ErrorCode.VOICE_CLONE_RECORD_NOT_EXIST);
+        }
+        if (entity.getVoice() == null || entity.getVoice().length == 0) {
+            throw new RenException(ErrorCode.VOICE_CLONE_AUDIO_NOT_UPLOADED);
+        }
+
+        try {
+
+            ModelConfigEntity modelConfig = modelConfigService.getModelByIdFromCache(entity.getModelId());
+            if (modelConfig == null || modelConfig.getConfigJson() == null) {
+                throw new RenException(ErrorCode.VOICE_CLONE_MODEL_CONFIG_NOT_FOUND);
+            }
+            Map<String, Object> config = modelConfig.getConfigJson();
+            String type = (String) config.get("type");
+            if (StringUtils.isBlank(type)) {
+                throw new RenException(ErrorCode.VOICE_CLONE_MODEL_TYPE_NOT_FOUND);
+            }
+            if (Constant.VOICE_CLONE_HUOSHAN_DOUBLE_STREAM.equals(type)) {
+                huoshanClone(config, entity);
+            }
+        } catch (RenException re) {
+            entity.setTrainStatus(3);
+            entity.setTrainError(re.getMsg());
+            baseDao.updateById(entity);
+            throw re;
+        } catch (Exception e) {
+            e.printStackTrace();
+            entity.setTrainStatus(3);
+            entity.setTrainError(e.getMessage());
+            baseDao.updateById(entity);
+            throw new RenException(ErrorCode.VOICE_CLONE_TRAINING_FAILED, e.getMessage());
+        }
+    }
+
+    /**
+     * 调用火山引擎进行语音复刻训练
+     * 
+     * @param config 模型配置
+     * @param entity 语音克隆记录实体
+     * @throws Exception
+     */
+    private void huoshanClone(Map<String, Object> config, VoiceCloneEntity entity) throws Exception {
+        String appid = (String) config.get("appid");
+        String accessToken = (String) config.get("access_token");
+
+        if (StringUtils.isAnyBlank(appid, accessToken)) {
+            throw new RenException(ErrorCode.VOICE_CLONE_HUOSHAN_CONFIG_MISSING);
+        }
+
+        String audioBase64 = Base64.getEncoder().encodeToString(entity.getVoice());
+        Map<String, Object> reqBody = new HashMap<>();
+        reqBody.put("appid", appid);
+        List<Map<String, String>> audios = new ArrayList<>();
+        Map<String, String> audioMap = new HashMap<>();
+        audioMap.put("audio_bytes", audioBase64);
+        audioMap.put("audio_format", "wav");
+        audios.add(audioMap);
+        reqBody.put("audios", audios);
+        reqBody.put("source", 2);
+        reqBody.put("language", 0);
+        reqBody.put("model_type", 1);
+        reqBody.put("speaker_id", entity.getVoiceId());
+
+        String apiUrl = "https://openspeech.bytedance.com/api/v1/mega_tts/audio/upload";
+
+        HttpClient client = HttpClient.newHttpClient();
+        HttpRequest request = HttpRequest.newBuilder()
+                .uri(URI.create(apiUrl))
+                .header("Content-Type", "application/json")
+                .header("Authorization", "Bearer;" + accessToken)
+                .header("Resource-Id", "seed-icl-1.0")
+                .POST(HttpRequest.BodyPublishers.ofString(objectMapper.writeValueAsString(reqBody)))
+                .build();
+        HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
+
+        System.out.println(">>> HTTP status = " + response.statusCode());
+        System.out.println(">>> response body = " + response.body());
+
+        Map<String, Object> rsp = objectMapper.readValue(response.body(),
+                new TypeReference<Map<String, Object>>() {
+                });
+
+        // 获取BaseResp对象
+        Map<String, Object> baseResp = objectMapper.convertValue(rsp.get("BaseResp"),
+                new TypeReference<Map<String, Object>>() {
+                });
+        if (baseResp != null) {
+            Integer statusCode = objectMapper.convertValue(baseResp.get("StatusCode"), Integer.class);
+            String statusMessage = objectMapper.convertValue(baseResp.getOrDefault("StatusMessage", ""),
+                    String.class);
+
+            // 获取speaker_id
+            String speakerId = objectMapper.convertValue(rsp.get("speaker_id"), String.class);
+
+            // StatusCode == 0 表示成功
+            if (statusCode != null && statusCode == 0 && StringUtils.isNotBlank(speakerId)) {
+                entity.setTrainStatus(2);
+                entity.setVoiceId(speakerId);
+                entity.setTrainError("");
+                baseDao.updateById(entity);
+            } else {
+                // 失败时使用StatusMessage作为错误信息
+                String errorMsg = StringUtils.isNotBlank(statusMessage) ? statusMessage : "训练失败";
+                throw new RenException(errorMsg);
+            }
+        } else {
+            String errorMsg = objectMapper.convertValue(rsp.get("message"),
+                    new TypeReference<String>() {
+                    });
+            if (StringUtils.isNotBlank(errorMsg)) {
+                throw new RenException(errorMsg);
+            }
+            throw new RenException(ErrorCode.VOICE_CLONE_RESPONSE_FORMAT_ERROR);
+        }
+    }
+}
@@ -0,0 +1,19 @@
+-- 声音克隆表
+DROP TABLE IF EXISTS `ai_voice_clone`;
+CREATE TABLE `ai_voice_clone` (
+    `id` VARCHAR(32) NOT NULL COMMENT '唯一标识',
+    `name` VARCHAR(64) COMMENT '声音名称',
+    `model_id` VARCHAR(32) COMMENT '模型id',
+    `voice_id` VARCHAR(32) COMMENT '声音id',
+    `user_id` BIGINT COMMENT '用户 ID（关联用户表）',
+    `voice` LONGBLOB COMMENT '声音',
+    `train_status` TINYINT(1) DEFAULT 0 COMMENT '训练状态：0待训练 1训练中 2训练成功 3训练失败',
+    `train_error` VARCHAR(255) COMMENT '训练错误原因',
+    `creator` BIGINT COMMENT '创建者 ID',
+    `create_date` DATETIME COMMENT '创建时间',
+    PRIMARY KEY (`id`),
+    INDEX idx_ai_voice_clone_user_id_model_id_train_status (model_id,user_id, train_status),
+    INDEX idx_ai_voice_clone_voice_id (voice_id),
+    INDEX idx_ai_voice_clone_user_id (user_id),
+    INDEX idx_ai_voice_clone_model_id_voice_id (model_id, voice_id)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='声音克隆表';
@@ -0,0 +1,2 @@
+UPDATE `ai_model_config` SET model_code = 'XunfeiSparkLLM' WHERE id = 'LLM_XunfeiSparkLLM';
+UPDATE `ai_model_config` SET model_code = 'XunfeiStreamASR' WHERE id = 'ASR_XunfeiStream';
@@ -0,0 +1,24 @@
+-- 添加RAG模型供应器和配置
+-- -------------------------------------------------------
+
+-- 添加RAG模型供应器
+delete from `ai_model_provider` where id = 'SYSTEM_RAG_ragflow';
+INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `fields`, `sort`, `creator`, `create_date`, `updater`, `update_date`) VALUES
+('SYSTEM_RAG_ragflow', 'RAG', 'ragflow', 'RAGFlow', '[{"key": "base_url", "type": "string", "label": "服务地址"}, {"key": "api_key", "type": "string", "label": "API密钥"}]', 1, 1, NOW(), 1, NOW());
+
+-- 添加RAG模型配置
+delete from `ai_model_config` where id = 'RAG_RAGFlow';
+INSERT INTO `ai_model_config` VALUES ('RAG_RAGFlow', 'RAG', 'ragflow', 'RAGFlow', 1, 1, '{"type": "ragflow", "base_url": "http://localhost", "api_key": "你的RAG密钥"}', 'https://github.com/infiniflow/ragflow/blob/main/README_zh.md', 'RAGFlow配置说明：
+一、快速部署教程（docker部署）
+1.$ sysctl vm.max_map_count
+2.$ sysctl -w vm.max_map_count=262144
+3.$ git clone https://github.com/infiniflow/ragflow.git
+4.docker compose -f docker-compose.yml up -d
+5.$ docker logs -f docker-ragflow-cpu-1
+6.注冊登录后，点击右上角头像，获得RAGFlow的API KEY和API服务器地址。使用RAGFlow前请在Model Provider中添加模型和设置默认模型。
+二、如果您希望关掉注册功能
+1.停止服务   docker compose down
+2. sed -i ''s/REGISTER_ENABLED=1/REGISTER_ENABLED=0/g'' .env   
+3.cat .env | grep -i register
+4.看到REGISTER_ENABLED=0 重启服务即可。',  1, NULL, NULL, NULL, NULL);
+
@@ -0,0 +1,19 @@
+-- 知识库表
+DROP TABLE IF EXISTS `ai_rag_dataset`;
+CREATE TABLE `ai_rag_dataset` (
+    `id` VARCHAR(32) NOT NULL COMMENT '唯一标识',
+    `dataset_id` VARCHAR(64) NOT NULL COMMENT '知识库ID',
+    `rag_model_id` VARCHAR(64) COMMENT 'RAG模型配置ID',
+    `name` VARCHAR(100) NOT NULL COMMENT '知识库名称',
+    `description` TEXT COMMENT '知识库描述',
+    `status` TINYINT(1) DEFAULT 1 COMMENT '状态：0停用 1启用',
+    `creator` BIGINT COMMENT '创建者',
+    `created_at` DATETIME COMMENT '创建时间',
+    `updater` BIGINT COMMENT '更新者',
+    `updated_at` DATETIME COMMENT '更新时间',
+    PRIMARY KEY (`id`),
+    UNIQUE KEY `uk_dataset_id` (`dataset_id`),
+    INDEX `idx_ai_rag_dataset_status` (`status`),
+    INDEX `idx_ai_rag_dataset_creator` (`creator`),
+    INDEX `idx_ai_rag_dataset_created_at` (`created_at`)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='知识库表';
@@ -0,0 +1,62 @@
+UPDATE `ai_model_config` SET 
+`doc_link` = 'https://github.com/infiniflow/ragflow/blob/main/README_zh.md',
+`remark` = '详细部署教程参考：https://github.com/xinnan-tech/xiaozhi-esp32-server/blob/main/docs/ragflow-integration.md
+部署成功，注冊登录后，点击右上角头像，获得RAGFlow的API KEY和API服务器地址。使用RAGFlow前请在Model Provider中添加模型和设置默认模型。' WHERE `id` = 'RAG_RAGFlow';
+
+update `ai_model_config` set `model_name` = '外挂的大模型意图识别' where `id` = 'Intent_intent_llm';
+update `ai_model_config` set `model_name` = '大模型自主函数调用' where `id` = 'Intent_function_call';
+update `ai_model_config` set `model_name` = '百炼智能体应用' where `id` = 'LLM_AliAppLLM';
+
+update `ai_model_provider` set `name` = '外挂的大模型意图识别' , `fields` =  '[{"key":"llm","label":"引用的LLM模型","type":"string"}]' where  id = 'SYSTEM_Intent_intent_llm';
+update `ai_model_provider` set `name` = '大模型自主函数调用' where  id = 'SYSTEM_Intent_function_call';
+
+UPDATE ai_model_config set model_name = 'Linkerai(流式)' where id = 'TTS_LinkeraiTTS';
+UPDATE ai_model_config set model_name = '火山引擎(流式)' where id = 'TTS_HuoshanDoubleStreamTTS';
+UPDATE ai_model_config set model_name = '阿里百炼(流式)' where id = 'TTS_AliBLStreamTTS';
+UPDATE ai_model_config set model_name = '科大讯飞(流式)' where id = 'TTS_XunFeiStreamTTS';
+UPDATE ai_model_config set model_name = 'Minimax(流式)' where id = 'TTS_MinimaxStreamTTS';
+UPDATE ai_model_config set model_name = '阿里云(流式)' where id = 'TTS_AliyunStreamTTS';
+UPDATE ai_model_config set model_name = 'PaddleSpeech(流式)' where id = 'TTS_PaddleSpeechTTS';
+UPDATE ai_model_config set model_name = 'IndexTTS(流式)' where id = 'TTS_IndexStreamTTS';
+
+update ai_model_config SET sort = 2 where id = 'TTS_LinkeraiTTS';
+update ai_model_config SET sort = 3 where id = 'TTS_HuoshanDoubleStreamTTS';
+update ai_model_config SET sort = 4 where id = 'TTS_AliBLStreamTTS';
+update ai_model_config SET sort = 5 where id = 'TTS_XunFeiStreamTTS';
+update ai_model_config SET sort = 6 where id = 'TTS_MinimaxStreamTTS';
+update ai_model_config SET sort = 7 where id = 'TTS_AliyunStreamTTS';
+update ai_model_config SET sort = 8 where id = 'TTS_IndexStreamTTS';
+update ai_model_config SET sort = 9 where id = 'TTS_PaddleSpeechTTS';
+update ai_model_config SET sort = 10 where id = 'TTS_DoubaoTTS';
+update ai_model_config SET sort = 11 where id = 'TTS_TencentTTS';
+update ai_model_config SET sort = 12 where id = 'TTS_AliyunTTS';
+update ai_model_config SET sort = 13 where id = 'TTS_OpenAITTS';
+update ai_model_config SET sort = 14 where id = 'TTS_CosyVoiceSiliconflow';
+update ai_model_config SET sort = 15 where id = 'TTS_CozeCnTTS';
+update ai_model_config SET sort = 16 where id = 'TTS_FishSpeech';
+update ai_model_config SET sort = 17 where id = 'TTS_GPT_SOVITS_V3';
+update ai_model_config SET sort = 18 where id = 'TTS_GPT_SOVITS_V2';
+update ai_model_config SET sort = 19 where id = 'TTS_TTS302AI';
+update ai_model_config SET sort = 20 where id = 'TTS_GizwitsTTS';
+update ai_model_config SET sort = 21 where id = 'TTS_VolcesAiGatewayTTS';
+update ai_model_config SET sort = 22 where id = 'TTS_ACGNTTS';
+update ai_model_config SET sort = 23 where id = 'TTS_CustomTTS';
+
+UPDATE ai_model_config set model_name = '讯飞语音识别(流式)' where id = 'ASR_XunfeiStream';
+UPDATE ai_model_config set model_name = 'Qwen3Flash语音识别' where id = 'ASR_Qwen3Flash';
+
+update ai_model_config SET sort = 2 where id = 'ASR_FunASRServer';
+update ai_model_config SET sort = 3 where id = 'ASR_XunfeiStream';
+update ai_model_config SET sort = 4 where id = 'ASR_AliyunStreamASR';
+update ai_model_config SET sort = 5 where id = 'ASR_DoubaoStreamASR';
+update ai_model_config SET sort = 6 where id = 'ASR_TencentASR';
+update ai_model_config SET sort = 7 where id = 'ASR_BaiduASR';
+update ai_model_config SET sort = 8 where id = 'ASR_DoubaoASR';
+update ai_model_config SET sort = 9 where id = 'ASR_AliyunASR';
+update ai_model_config SET sort = 10 where id = 'ASR_SherpaASR';
+update ai_model_config SET sort = 11 where id = 'ASR_OpenaiASR';
+update ai_model_config SET sort = 12 where id = 'ASR_GroqASR';
+update ai_model_config SET sort = 13 where id = 'ASR_VoskASR';
+update ai_model_config SET sort = 14 where id = 'ASR_Qwen3Flash';
+
+UPDATE ai_model_config SET config_json='{\"type\": \"openai\", \"base_url\": \"https://ark.cn-beijing.volces.com/api/v3\", \"model_name\": \"doubao-1-5-pro-32k-250115\", \"api_key\": \"你的api_key\"}' where id = 'LLM_DoubaoLLM' AND config_json LIKE '%你的api_key"%';
@@ -0,0 +1,6 @@
+-- 添加系统功能菜单配置参数
+delete from `sys_params` where param_code = 'system-web.menu';
+
+-- 添加系统功能菜单配置参数
+INSERT INTO `sys_params` (id, param_code, param_value, value_type, param_type, remark) VALUES 
+(600, 'system-web.menu', '{"features":{"voiceprintRecognition":{"name":"feature.voiceprintRecognition.name","enabled":false,"description":"feature.voiceprintRecognition.description"},"voiceClone":{"name":"feature.voiceClone.name","enabled":false,"description":"feature.voiceClone.description"},"knowledgeBase":{"name":"feature.knowledgeBase.name","enabled":false,"description":"feature.knowledgeBase.description"},"mcpAccessPoint":{"name":"feature.mcpAccessPoint.name","enabled":false,"description":"feature.mcpAccessPoint.description"},"vad":{"name":"feature.vad.name","enabled":true,"description":"feature.vad.description"},"asr":{"name":"feature.asr.name","enabled":true,"description":"feature.asr.description"}},"groups":{"featureManagement":["voiceprintRecognition","voiceClone","knowledgeBase","mcpAccessPoint"],"voiceManagement":["vad","asr"]}}', 'json', 1, '系统功能菜单配置');
@@ -0,0 +1,14 @@
+-- liquibase formatted sql
+
+-- changeset xiaozhi:202512041515
+CREATE TABLE ai_agent_context_provider (
+    id VARCHAR(32) NOT NULL COMMENT '主键',
+    agent_id VARCHAR(32) NOT NULL COMMENT '智能体ID',
+    context_providers JSON COMMENT '上下文源配置',
+    creator BIGINT COMMENT '创建者',
+    created_at DATETIME COMMENT '创建时间',
+    updater BIGINT COMMENT '更新者',
+    updated_at DATETIME COMMENT '更新时间',
+    PRIMARY KEY (id),
+    INDEX idx_agent_id (agent_id)
+) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4 COMMENT='智能体上下文源配置表';
@@ -0,0 +1,6 @@
+-- 删除server模块是否开启token认证参数
+delete from `sys_params` where param_code = 'server.auth.enabled';
+
+-- 添加server模块是否开启token认证参数
+INSERT INTO `sys_params` (id, param_code, param_value, value_type, param_type, remark) VALUES 
+(122, 'server.auth.enabled', 'true', 'boolean', 1, 'server模块是否开启token认证');
@@ -388,3 +388,60 @@ databaseChangeLog:
        - sqlFile:
            encoding: utf8
            path: classpath:db/changelog/202509220958.sql
+  - changeSet:
+      id: 202510071522
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202510071522.sql
+  - changeSet:
+      id: 202510191042
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202510191042.sql
+  - changeSet:
+      id: 202510250956
+      author: rainv123
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202510250956.sql
+  - changeSet:
+      id: 202510251150
+      author: rainv123
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202510251150.sql
+  - changeSet:
+      id: 202511131023
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202511131023.sql
+  - changeSet:
+      id: 202512031517
+      author: rainv123
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512031517.sql
+    
+  - changeSet:
+      id: 202512041515
+      author: cgd
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512041515.sql
+  - changeSet:
+      id: 202512131453
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512131453.sql
@@ -1,146 +1,201 @@
-#简体中文
-500=服务器内部异常
-401=未授权
-403=拒绝访问，没有权限
+#\u7B80\u4F53\u4E2D\u6587
+500=\u670D\u52A1\u5668\u5185\u90E8\u5F02\u5E38
+401=\u672A\u6388\u6743
+403=\u62D2\u7EDD\u8BBF\u95EE\uFF0C\u6CA1\u6709\u6743\u9650

-10001={0}不能为空
-10002=数据库中已存在该记录
-10003=获取参数失败
-10004=账号或密码错误
-10005=账号已被停用
-10006=唯一标识不能为空
-10007=验证码不正确
-10008=先删除子菜单或按钮
-10009=原密码不正确
-10010=账号或密码不正确,您还有可以尝试{0}次
+10001={0}\u4E0D\u80FD\u4E3A\u7A7A
+10002=\u6570\u636E\u5E93\u4E2D\u5DF2\u5B58\u5728\u8BE5\u8BB0\u5F55
+10003=\u83B7\u53D6\u53C2\u6570\u5931\u8D25
+10004=\u8D26\u53F7\u6216\u5BC6\u7801\u9519\u8BEF
+10005=\u8D26\u53F7\u5DF2\u88AB\u505C\u7528
+10006=\u552F\u4E00\u6807\u8BC6\u4E0D\u80FD\u4E3A\u7A7A
+10007=\u9A8C\u8BC1\u7801\u4E0D\u6B63\u786E
+10008=\u5148\u5220\u9664\u5B50\u83DC\u5355\u6216\u6309\u94AE
+10009=\u539F\u5BC6\u7801\u4E0D\u6B63\u786E
+10010=\u8D26\u53F7\u6216\u5BC6\u7801\u4E0D\u6B63\u786E,\u60A8\u8FD8\u6709\u53EF\u4EE5\u5C1D\u8BD5{0}\u6B21

-10011=上级部门选择错误
-10012=上级菜单不能为自身
-10013=数据权限接口，只能是Map类型参数
-10014=请先删除下级部门
-10015=请先删除部门下的用户
-10016=部署失败，没有流程
-10017=模型图不正确，请检查
-10018=导出失败，模型ID为{0}
+10011=\u4E0A\u7EA7\u90E8\u95E8\u9009\u62E9\u9519\u8BEF
+10012=\u4E0A\u7EA7\u83DC\u5355\u4E0D\u80FD\u4E3A\u81EA\u8EAB
+10013=\u6570\u636E\u6743\u9650\u63A5\u53E3\uFF0C\u53EA\u80FD\u662FMap\u7C7B\u578B\u53C2\u6570
+10014=\u8BF7\u5148\u5220\u9664\u4E0B\u7EA7\u90E8\u95E8
+10015=\u8BF7\u5148\u5220\u9664\u90E8\u95E8\u4E0B\u7684\u7528\u6237
+10016=\u90E8\u7F72\u5931\u8D25\uFF0C\u6CA1\u6709\u6D41\u7A0B
+10017=\u6A21\u578B\u56FE\u4E0D\u6B63\u786E\uFF0C\u8BF7\u68C0\u67E5
+10018=\u5BFC\u51FA\u5931\u8D25\uFF0C\u6A21\u578BID\u4E3A{0}

-10019=请上传文件
-10020=token不能为空
-10021=token失效，请重新登录
-10022=账号已被锁定
-10023=请上传zip、bar、bpmn、bpmn20.xml格式文件
+10019=\u8BF7\u4E0A\u4F20\u6587\u4EF6
+10020=token\u4E0D\u80FD\u4E3A\u7A7A
+10021=token\u5931\u6548\uFF0C\u8BF7\u91CD\u65B0\u767B\u5F55
+10022=\u8D26\u53F7\u5DF2\u88AB\u9501\u5B9A
+10023=\u8BF7\u4E0A\u4F20zip\u3001bar\u3001bpmn\u3001bpmn20.xml\u683C\u5F0F\u6587\u4EF6

-10024=上传文件失败{0}
-10025=发送短信失败{0}
-10026=邮件模板不存在
+10024=\u4E0A\u4F20\u6587\u4EF6\u5931\u8D25{0}
+10025=\u53D1\u9001\u77ED\u4FE1\u5931\u8D25{0}
+10026=\u90AE\u4EF6\u6A21\u677F\u4E0D\u5B58\u5728

-10027=Redis服务异常
-10028=定时任务失败
-10029=不能包含非法字符
-10030=密码长度不足{0}位
-10031=密码必须同时包含数字、大小写字母和特殊字符组成
-10032=删除本数据异常
-10033=设备验证码错误
+10027=Redis\u670D\u52A1\u5F02\u5E38
+10028=\u5B9A\u65F6\u4EFB\u52A1\u5931\u8D25
+10029=\u4E0D\u80FD\u5305\u542B\u975E\u6CD5\u5B57\u7B26
+10030=\u5BC6\u7801\u957F\u5EA6\u4E0D\u8DB3{0}\u4F4D
+10031=\u5BC6\u7801\u5FC5\u987B\u540C\u65F6\u5305\u542B\u6570\u5B57\u3001\u5927\u5C0F\u5199\u5B57\u6BCD\u548C\u7279\u6B8A\u5B57\u7B26\u7EC4\u6210
+10032=\u5220\u9664\u672C\u6570\u636E\u5F02\u5E38
+10033=\u8BBE\u5907\u9A8C\u8BC1\u7801\u9519\u8BEF

-10034=参数值不能为空
-10035=参数类型不能为空
-10036=不支持的参数类型
-10037=参数值必须是有效的数字
-10038=参数值必须是true或false
-10039=参数值必须是有效的JSON数组格式
-10040=参数值必须是有效的JSON格式
+10034=\u53C2\u6570\u503C\u4E0D\u80FD\u4E3A\u7A7A
+10035=\u53C2\u6570\u7C7B\u578B\u4E0D\u80FD\u4E3A\u7A7A
+10036=\u4E0D\u652F\u6301\u7684\u53C2\u6570\u7C7B\u578B
+10037=\u53C2\u6570\u503C\u5FC5\u987B\u662F\u6709\u6548\u7684\u6570\u5B57
+10038=\u53C2\u6570\u503C\u5FC5\u987B\u662Ftrue\u6216false
+10039=\u53C2\u6570\u503C\u5FC5\u987B\u662F\u6709\u6548\u7684JSON\u6570\u7EC4\u683C\u5F0F
+10040=\u53C2\u6570\u503C\u5FC5\u987B\u662F\u6709\u6548\u7684JSON\u683C\u5F0F

-10041=设备未找到
+10041=\u8BBE\u5907\u672A\u627E\u5230
 10042={0}
-10043=删除数据失败
-10044=用户未登录
-10045=WebSocket连接失败或连接超时
-10046=保存声纹错误，请联系管理员
-10047=每日发送次数已达上限
-10048=旧密码输入错误
-10049=设置的LLM不是openai和ollama
-10050=token生成失败
-10051=资源不存在
-10052=默认智能体未找到
-10053=智能体未找到
-10054=声纹接口未配置，请先在参数配置中配置声纹接口地址(server.voice_print)
-10055=短信发送失败
-10056=短信连接建立失败
-10057=智能体的声纹创建失败
-10058=智能体的对应声纹更新失败
-10059=智能体的对应声纹删除失败
-10060=发送太频繁，请{0}秒后再试
-10061=激活码不能为空
-10062=激活码错误
-10063=设备已激活
-10064=该模型为默认模型，请先设置其他模型为默认模型
-10065=新增数据失败
-10066=修改数据失败
-10067=图形验证码错误
-10068=没有开启手机注册，没法使用短信验证码功能
-10069=用户名不是手机号码，请重新输入
-10070=此手机号码已经注册过
-10071=输入的手机号码未注册
-10072=当前不允许普通用户注册
-10073=没有开启手机注册，没法使用找回密码功能
-10074=输入的手机号码格式不正确
-10075=输入的手机验证码错误
-10076=字典类型不存在
-10077=字典类型编码重复
-10078=读取资源失败
-10079=LLM大模型和Intent意图识别，选择参数不匹配
-10080=此声音声纹对应的人（{0}）已经注册，请选择其他声音注册
-10081=删除声纹出现错误
-10082=此次修改不允许，此声音已经注册为声纹了（{0}）
-10083=修改声纹错误，请联系管理员
-10084=声纹接口地址存在错误，请进入参数管理修改声纹接口地址
-10085=音频数据不属于这个智能体
-10086=音频数据是空的请检查上传数据
-10087=声纹保存失败，请求不成功
-10088=声纹保存失败，请求处理失败
-10089=声纹注销失败，请求不成功
-10090=声纹注销失败，请求处理失败
-10091=供应器不存在
-10092=设置的LLM不存在
-10093=该模型配置已被智能体{0}引用，无法删除
-10094=该LLM模型已被意图识别配置引用，无法删除
-10095=无效服务端操作
-10096=未配置服务端WebSocket地址
-10097=目标WebSocket地址不存在
-10098=WebSocket地址列表不能为空
-10099=WebSocket地址不能使用localhost或127.0.0.1
-10100=WebSocket地址格式不正确
-10101=WebSocket连接测试失败
-10102=OTA地址不能为空
-10103=OTA地址不能使用localhost或127.0.0.1
-10104=OTA地址必须以http或https开头
-10105=OTA地址必须以/ota/结尾
-10106=OTA接口访问失败
-10107=OTA接口返回内容格式不正确
-10108=OTA接口验证失败
-10109=MCP地址不能为空
-10110=MCP地址不能使用localhost或127.0.0.1
-10111=不是正确的MCP地址
-10112=MCP接口访问失败
-10113=MCP接口返回内容格式不正确
-10114=MCP接口验证失败
-10115=声纹接口地址不能为空
-10116=声纹接口地址不能使用localhost或127.0.0.1
-10117=不是正确的声纹接口地址
-10118=声纹接口地址必须以http或https开头
-10119=声纹接口访问失败
-10120=声纹接口返回内容格式不正确
-10121=声纹接口验证失败
-10122=mqtt密钥不能为空
-10123=您的mqtt密钥长度不安全，字符数需要至少8个字符且必须同时包含大小写字母
-10124=您的mqtt密钥长度不安全，mqtt密钥必须同时包含大小写字母
-10125=您的mqtt密钥包含弱密码
-10128=字典标签重复
-10129=modelType和provideCode不能为空
-10132=没有权限查看该智能体的聊天记录
-10133=会话ID不能为空
-10134=智能体ID不能为空
-10135=聊天记录下载失败
-10136=下载链接已过期或无效
-10137=下载链接无效
-10138=用户
-10139=智体
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+10044=\u7528\u6237\u672A\u767B\u5F55
+10045=WebSocket\u8FDE\u63A5\u5931\u8D25\u6216\u8FDE\u63A5\u8D85\u65F6
+10046=\u4FDD\u5B58\u58F0\u7EB9\u9519\u8BEF\uFF0C\u8BF7\u8054\u7CFB\u7BA1\u7406\u5458
+10047=\u6BCF\u65E5\u53D1\u9001\u6B21\u6570\u5DF2\u8FBE\u4E0A\u9650
+10048=\u65E7\u5BC6\u7801\u8F93\u5165\u9519\u8BEF
+10049=\u8BBE\u7F6E\u7684LLM\u4E0D\u662Fopenai\u548Collama
+10050=token\u751F\u6210\u5931\u8D25
+10051=\u8D44\u6E90\u4E0D\u5B58\u5728
+10052=\u9ED8\u8BA4\u667A\u80FD\u4F53\u672A\u627E\u5230
+10053=\u667A\u80FD\u4F53\u672A\u627E\u5230
+10054=\u58F0\u7EB9\u63A5\u53E3\u672A\u914D\u7F6E\uFF0C\u8BF7\u5148\u5728\u53C2\u6570\u914D\u7F6E\u4E2D\u914D\u7F6E\u58F0\u7EB9\u63A5\u53E3\u5730\u5740(server.voice_print)
+10055=\u77ED\u4FE1\u53D1\u9001\u5931\u8D25
+10056=\u77ED\u4FE1\u8FDE\u63A5\u5EFA\u7ACB\u5931\u8D25
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+10060=\u53D1\u9001\u592A\u9891\u7E41\uFF0C\u8BF7{0}\u79D2\u540E\u518D\u8BD5
+10061=\u6FC0\u6D3B\u7801\u4E0D\u80FD\u4E3A\u7A7A
+10062=\u6FC0\u6D3B\u7801\u9519\u8BEF
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+10065=\u65B0\u589E\u6570\u636E\u5931\u8D25
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+10075=\u8F93\u5165\u7684\u624B\u673A\u9A8C\u8BC1\u7801\u9519\u8BEF
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+10077=\u5B57\u5178\u7C7B\u578B\u7F16\u7801\u91CD\u590D
+10078=\u8BFB\u53D6\u8D44\u6E90\u5931\u8D25
+10079=LLM\u5927\u6A21\u578B\u548CIntent\u610F\u56FE\u8BC6\u522B\uFF0C\u9009\u62E9\u53C2\u6570\u4E0D\u5339\u914D
+10080=\u6B64\u58F0\u97F3\u58F0\u7EB9\u5BF9\u5E94\u7684\u4EBA\uFF08{0}\uFF09\u5DF2\u7ECF\u6CE8\u518C\uFF0C\u8BF7\u9009\u62E9\u5176\u4ED6\u58F0\u97F3\u6CE8\u518C
+10081=\u5220\u9664\u58F0\u7EB9\u51FA\u73B0\u9519\u8BEF
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+10087=\u58F0\u7EB9\u4FDD\u5B58\u5931\u8D25\uFF0C\u8BF7\u6C42\u4E0D\u6210\u529F
+10088=\u58F0\u7EB9\u4FDD\u5B58\u5931\u8D25\uFF0C\u8BF7\u6C42\u5904\u7406\u5931\u8D25
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+10096=\u672A\u914D\u7F6E\u670D\u52A1\u7AEFWebSocket\u5730\u5740
+10097=\u76EE\u6807WebSocket\u5730\u5740\u4E0D\u5B58\u5728
+10098=WebSocket\u5730\u5740\u5217\u8868\u4E0D\u80FD\u4E3A\u7A7A
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+10100=WebSocket\u5730\u5740\u683C\u5F0F\u4E0D\u6B63\u786E
+10101=WebSocket\u8FDE\u63A5\u6D4B\u8BD5\u5931\u8D25
+10102=OTA\u5730\u5740\u4E0D\u80FD\u4E3A\u7A7A
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+10104=OTA\u5730\u5740\u5FC5\u987B\u4EE5http\u6216https\u5F00\u5934
+10105=OTA\u5730\u5740\u5FC5\u987B\u4EE5/ota/\u7ED3\u5C3E
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+10108=OTA\u63A5\u53E3\u9A8C\u8BC1\u5931\u8D25
+10109=MCP\u5730\u5740\u4E0D\u80FD\u4E3A\u7A7A
+10110=MCP\u5730\u5740\u4E0D\u80FD\u4F7F\u7528localhost\u6216127.0.0.1
+10111=\u4E0D\u662F\u6B63\u786E\u7684MCP\u5730\u5740
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+10117=\u4E0D\u662F\u6B63\u786E\u7684\u58F0\u7EB9\u63A5\u53E3\u5730\u5740
+10118=\u58F0\u7EB9\u63A5\u53E3\u5730\u5740\u5FC5\u987B\u4EE5http\u6216https\u5F00\u5934
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+10121=\u58F0\u7EB9\u63A5\u53E3\u9A8C\u8BC1\u5931\u8D25
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+10129=SM2\u5BC6\u94A5\u672A\u914D\u7F6E
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+10142=\u97F3\u9891\u6587\u4EF6\u5927\u5C0F\u4E0D\u80FD\u8D85\u8FC710MB
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+10154=\u8BAD\u7EC3\u5931\u8D25: {0}
+10155=\u706B\u5C71\u5F15\u64CE\u7F3A\u5C11\u914D\u7F6E
+10156=\u54CD\u5E94\u683C\u5F0F\u9519\u8BEF\uFF0C\u7F3A\u5C11BaseResp\u5B57\u6BB5
+10157=\u8BF7\u6C42\u5931\u8D25
+10158=\u514B\u9686\u97F3\u8272:
+10159=\u97F3\u8272ID\u5DF2\u5B58\u5728
+10160=\u706B\u5C71\u5F15\u64CE\u97F3\u8272ID\u683C\u5F0F\u9519\u8BEF\uFF0C\u5FC5\u987B\u4EE5S_\u5F00\u5934
+10161=Mac\u5730\u5740\u5DF2\u5B58\u5728
+10162=\u6A21\u578B\u4F9B\u5E94\u5668\u4E0D\u5B58\u5728
+10163=\u77E5\u8BC6\u5E93\u8BB0\u5F55\u4E0D\u5B58\u5728
+10164=RAG\u914D\u7F6E\u672A\u627E\u5230
+10165=RAG\u914D\u7F6E\u7C7B\u578B\u9519\u8BEF
+10166=\u9ED8\u8BA4RAG\u914D\u7F6E\u672A\u627E\u5230
+10167=RAG\u8C03\u7528\u5931\u8D25\uFF0C{0}
+10168=\u4E0A\u4F20\u6587\u4EF6\u5931\u8D25
+10169=\u60A8\u6CA1\u6709\u6743\u9650\u64CD\u4F5C\u8BE5\u8BB0\u5F55
+10170=\u77E5\u8BC6\u5E93\u540D\u79F0\u91CD\u590D
+10171=RAG\u914D\u7F6E\u4F53\u7684base_url\u4E0D\u80FD\u4E3A\u7A7A
+10172=RAG\u914D\u7F6E\u4F53\u7684api_key\u4E0D\u80FD\u4E3A\u7A7A
+10173=RAG\u914D\u7F6E\u4F53\u7684api_key\u4E0D\u80FD\u4E3A\u7A7A\uFF0C\u8BF7\u66F4\u6362\u4E3A\u5728\u53D6\u7684API\u53C2\u6570
+10174=RAG\u914D\u7F6E\u4F53\u7684base_url\u683C\u5F0F\u9519\u8BEF\uFF0C\u5FC5\u987B\u4EE5http\u6216https\u5F00\u5934
+10175=mac\u5730\u5740\u4E0D\u80FD\u4E3A\u7A7A
+10176=RAG\u914D\u7F6E\u4F53\u7684dataset_id\u4E0D\u80FD\u4E3A\u7A7A
+10177=RAG\u914D\u7F6E\u4F53\u7684model_id\u4E0D\u80FD\u4E3A\u7A7A
+10178=RAG\u914D\u7F6E\u4F53\u7684dataset_id\u548Cmodel_id\u4E0D\u80FD\u4E3A\u7A7A
+10179=\u6587\u4EF6\u540D\u79F0\u4E0D\u80FD\u4E3A\u7A7A
+10180=\u6587\u4EF6\u5185\u5BB9\u4E0D\u80FD\u4E3A\u7A7A
+10181=\u97F3\u8272\u514B\u9686\u540D\u79F0\u4E0D\u80FD\u4E3A\u7A7A
+10182=\u97F3\u8272\u514B\u9686\u97F3\u9891\u4E0D\u5B58\u5728
+10183=\u9ED8\u8BA4\u667A\u80FD\u4F53\u672A\u627E\u5230
+10184=\u4E0D\u652F\u6301\u7684\u9002\u914D\u5668\u7C7B\u578B
+10185=RAG\u914D\u7F6E\u9A8C\u8BC1\u5931\u8D25
+10186=\u9002\u914D\u5668\u521B\u5EFA\u5931\u8D25
+10187=\u9002\u914D\u5668\u521D\u59CB\u5316\u5931\u8D25
+10188=\u9002\u914D\u5668\u8FDE\u63A5\u6D4B\u8BD5\u5931\u8D25
+10189=\u9002\u914D\u5668\u64CD\u4F5C\u5931\u8D25
+10190=\u9002\u914D\u5668\u672A\u627E\u5230
+10191=\u9002\u914D\u5668\u7F13\u5B58\u9519\u8BEF
+10192=\u9002\u914D\u5668\u7C7B\u578B\u672A\u627E\u5230
@@ -0,0 +1,201 @@
+#Deutsch
+500=Server interne Ausnahme
+401=Nicht autorisiert
+403=Zugriff verweigert, keine Berechtigungen
+10001={0} darf nicht leer sein
+10002=Der Datensatz existiert bereits in der Datenbank
+10003=Parameter abrufen fehlgeschlagen
+10004=Die Kontonummer oder das Passwort ist falsch
+10005=Konto wurde deaktiviert
+10006=Eindeutige ID darf nicht leer sein
+10007=Der Bestätigungscode ist falsch
+10008=Zuerst Untermenü oder Schaltfläche löschen
+10009=Das ursprüngliche Passwort ist falsch
+10010=Das Konto oder Passwort ist falsch, Sie können es noch {0} Mal versuchen
+
+10011=Die übergeordnete Abteilung hat eine falsche Wahl getroffen
+10012=Oberes Menü kann nicht sich selbst sein
+10013=Datenberechtigungsschnittstelle, die nur ein Map-Typ-Parameter sein kann
+10014=Bitte löschen Sie zuerst die untergeordnete Abteilung
+10015=Bitte löschen Sie zuerst den Benutzer unter der Abteilung
+10016=Bereitstellung fehlgeschlagen, kein Prozess
+10017=Das ModellDiagramm ist falsch, bitte überprüfen
+10018=Export fehlgeschlagen, Modell-ID ist {0}
+
+10019=Bitte laden Sie eine Datei hoch
+10020=Token darf nicht leer sein
+10021=Token ist ungültig, bitte melden Sie sich erneut an
+10022=Das Konto wurde gesperrt
+10023=Bitte laden Sie Dateien im Format zip, bar, bpmn, bpmn20.xml hoch
+
+10024=Datei-Upload fehlgeschlagen {0}
+10025=SMS-Sendung fehlgeschlagen {0}
+10026=E-Mail-Vorlage existiert nicht
+
+10027=Redis-Dienstausnahme
+10028=Zeitgesteuerte Aufgabe fehlgeschlagen
+10029=Darf keine illegalen Zeichen enthalten
+
+10030=Das Passwort hat weniger als {0} Ziffern
+10031=Das Passwort muss gleichzeitig aus Zahlen, Groß- und Kleinbuchstaben sowie Sonderzeichen bestehen
+10032=Ausnahme beim Löschen dieser Daten
+10033=Gerätebestätigungscode Fehler
+
+10034=Parameterwert darf nicht leer sein
+10035=Parametertyp darf nicht leer sein
+10036=Nicht unterstützter Parametertyp
+10037=Parameterwert muss eine gültige Zahl sein
+10038=Parameterwert muss true oder false sein
+10039=Parameterwert muss ein gültiges JSON-Array-Format sein
+10040=Parameterwert muss ein gültiges JSON-Format sein
+
+10041=Gerät nicht gefunden
+10042={0}
+10043=Löschen der Daten fehlgeschlagen
+10044=Benutzer nicht angemeldet
+10045=WebSocket-Verbindung fehlgeschlagen oder Zeitüberschreitung
+10046=Stimmabdruck speichern fehlgeschlagen, bitte Administrator kontaktieren
+10047=Tägliches SendeLimit erreicht
+10048=Altes Passwort ist falsch
+10049=Das eingestellte LLM ist nicht openai oder ollama
+10050=Token-Generierung fehlgeschlagen
+10051=Ressource nicht gefunden
+10052=Standard-Agent nicht gefunden
+10053=Agent nicht gefunden
+10054=Stimmabdruck-Schnittstelle nicht konfiguriert, bitte konfigurieren Sie zuerst die Stimmabdruck-Schnittstellenadresse (server.voice_print) in der Parameterkonfiguration
+10055=SMS-Sendung fehlgeschlagen
+10056=SMS-Verbindung konnte nicht hergestellt werden
+10057=Stimmabdruck für Agent konnte nicht erstellt werden
+10058=Stimmabdruck für Agent konnte nicht aktualisiert werden
+10059=Stimmabdruck für Agent konnte nicht gelöscht werden
+10060=Sendung zu häufig, bitte versuchen Sie es nach {0} Sekunden erneut
+10061=Aktivierungscode darf nicht leer sein
+10062=Aktivierungscode Fehler
+10063=Gerät bereits aktiviert
+10064=Dieses Modell ist das Standardmodell, bitte setzen Sie zuerst ein anderes Modell als Standard
+10065=Hinzufügen der Daten fehlgeschlagen
+10066=Aktualisieren der Daten fehlgeschlagen
+10067=Grafischer Bestätigungscode Fehler
+10068=Mobilregistrierung nicht aktiviert, SMS-Bestätigungscode-Funktion kann nicht verwendet werden
+10069=Benutzername ist keine Handynummer, bitte erneut eingeben
+10070=Diese Handynummer wurde bereits registriert
+10071=Die eingegebene Handynummer ist nicht registriert
+10072=Normale Benutzerregistrierung derzeit nicht erlaubt
+10073=Mobilregistrierung nicht aktiviert, Passwort-Wiederherstellungsfunktion kann nicht verwendet werden
+10074=Das Format der eingegebenen Handynummer ist falsch
+10075=Der eingegebene SMS-Bestätigungscode ist falsch
+10076=Wörterbuchtyp existiert nicht
+10077=Wörterbuchtypcode ist dupliziert
+10078=Lesen der Ressource fehlgeschlagen
+10079=LLM-Modell und Absichtserkennung, Parameterauswahl stimmt nicht überein
+10080=Dieser Stimmabdruck gehört zu {0}, der bereits registriert ist, bitte wählen Sie eine andere Stimme
+10081=Fehler beim Löschen des Stimmabdrucks aufgetreten
+10082=Änderung nicht erlaubt, diese Stimme wurde bereits als Stimmabdruck registriert ({0})
+10083=Fehler beim Ändern des Stimmabdrucks, bitte Administrator kontaktieren
+10084=Stimmabdruck-Schnittstellenadresse Fehler, bitte gehen Sie zur Parameterverwaltung, um die Stimmabdruck-Schnittstellenadresse zu ändern
+10085=Audiodaten gehören nicht zu diesem Agent
+10086=Audiodaten sind leer, bitte überprüfen Sie hochgeladene Daten
+10087=Stimmabdruck-Registrierung fehlgeschlagen, Anfrage nicht erfolgreich
+10088=Stimmabdruck-Registrierung fehlgeschlagen, Anfrageverarbeitung fehlgeschlagen
+10089=Stimmabdruck-Stornierung fehlgeschlagen, Anfrage nicht erfolgreich
+10090=Stimmabdruck-Stornierung fehlgeschlagen, Anfrageverarbeitung fehlgeschlagen
+10091=Modellanbieter existiert nicht
+10092=Das konfigurierte LLM existiert nicht
+10093=Diese Modellkonfiguration wird von Agent {0} referenziert und kann nicht gelöscht werden
+10094=Dieses LLM-Modell wird von der Absichtserkennungskonfiguration referenziert und kann nicht gelöscht werden
+10095=Ungültige Serveroperation
+10096=Server WebSocket-Adresse nicht konfiguriert
+10097=Ziel-WebSocket-Adresse existiert nicht
+10098=WebSocket-Adressliste darf nicht leer sein
+10099=WebSocket-Adresse darf nicht localhost oder 127.0.0.1 verwenden
+10100=WebSocket-Adressformat ist falsch
+10101=WebSocket-Verbindungstest fehlgeschlagen
+10102=OTA-Adresse darf nicht leer sein
+10103=OTA-Adresse darf nicht localhost oder 127.0.0.1 verwenden
+10104=OTA-Adresse muss mit http oder https beginnen
+10105=OTA-Adresse muss mit /ota/ enden
+10106=OTA-Schnittstellenzugriff fehlgeschlagen
+10107=OTA-Schnittstelle Rückgabeinhaltformat ist falsch
+10108=OTA-Schnittstellenvalidierung fehlgeschlagen
+10109=MCP-Adresse darf nicht leer sein
+10110=MCP-Adresse darf nicht localhost oder 127.0.0.1 verwenden
+10111=Keine gültige MCP-Adresse
+10112=MCP-Schnittstellenzugriff fehlgeschlagen
+10113=MCP-Schnittstelle Rückgabeinhaltformat ist falsch
+10114=MCP-Schnittstellenvalidierung fehlgeschlagen
+10115=Stimmabdruck-Schnittstellenadresse darf nicht leer sein
+10116=Stimmabdruck-Schnittstellenadresse darf nicht localhost oder 127.0.0.1 verwenden
+10117=Keine gültige Stimmabdruck-Schnittstellenadresse
+10118=Stimmabdruck-Schnittstellenadresse muss mit http oder https beginnen
+10119=Stimmabdruck-Schnittstellenzugriff fehlgeschlagen
+10120=Stimmabdruck-Schnittstelle Rückgabeinhaltformat ist falsch
+10121=Stimmabdruck-Schnittstellenvalidierung fehlgeschlagen
+10122=MQTT-Geheimnis darf nicht leer sein
+10123=Ihr MQTT-Geheimnis ist nicht sicher, es muss mindestens 8 Zeichen lang sein und muss sowohl Groß- als auch Kleinbuchstaben enthalten
+10124=Ihr MQTT-Geheimnis ist nicht sicher, MQTT-Geheimnis muss sowohl Groß- als auch Kleinbuchstaben enthalten
+10125=Ihr MQTT-Geheimnis enthält schwaches Passwort
+10128=Wörterbuchlabel ist dupliziert
+10129=SM2-Schlüssel nicht konfiguriert
+10130=SM2-Entschlüsselung fehlgeschlagen
+10131=modelType und provideCode dürfen nicht leer sein
+10132=Keine Berechtigung, den Chat-Verlauf dieses Agents anzuzeigen
+10133=Sitzungs-ID darf nicht leer sein
+10134=Agent-ID darf nicht leer sein
+10135=Chat-Verlauf-Download fehlgeschlagen
+10136=Download-Link abgelaufen oder ungültig
+10137=Download-Link ungültig
+10138=Benutzer
+10139=Agent
+10140=Audio-Datei darf nicht leer sein
+10141=Nur Audio-Dateien werden unterstützt
+10142=Audio-Dateigröße darf 10MB nicht überschreiten
+10143=Upload fehlgeschlagen
+10144=Stimmenklon-Datensatz existiert nicht
+10145=Stimmressourceninformationen dürfen nicht leer sein
+10146=TTS-Plattformname darf nicht leer sein
+10147=Stimmen-ID darf nicht leer sein
+10148=Kontoinhaber darf nicht leer sein
+10149=Zu löschende Stimmressourcen-ID darf nicht leer sein
+10150=Sie haben keine Berechtigung, diesen Datensatz zu bearbeiten
+10151=Bitte laden Sie zuerst eine Audio-Datei hoch
+10152=Modellkonfiguration nicht gefunden
+10153=Modelltyp nicht gefunden
+10154=Training fehlgeschlagen: {0}
+10155=Huoshan Engine-Konfiguration fehlt
+10156=Antwortformat Fehler, BaseResp-Feld fehlt
+10157=Anfrage fehlgeschlagen
+10158=Stimme klonen:
+10159=Stimmen-ID existiert bereits
+10160=Huoshan Engine-Stimmen-ID-Formatfehler, muss mit S_ beginnen
+10161=Mac-Adresse existiert bereits
+10162=Modellanbieter existiert nicht
+10163=Wissensbasis-Datensatz existiert nicht
+10164=RAG-Konfiguration nicht gefunden
+10165=RAG-Konfigurationstyp Fehler
+10166=Standard-RAG-Konfiguration nicht gefunden
+10167=RAG-API-Aufruf fehlgeschlagen: {0}
+10168=Datei-Upload fehlgeschlagen
+10169=Keine Berechtigung, diese Wissensbasis zu bearbeiten
+10170=Wissensbasis-Name existiert bereits
+10171=RAG-Konfiguration base_url darf nicht leer sein
+10172=RAG-Konfiguration api_key darf nicht leer sein
+10173=RAG-Konfiguration api_key darf keinen Platzhalter enthalten, bitte ersetzen Sie mit tatsächlichem API-Schlüssel
+10174=RAG-Konfiguration base_url-Formatfehler, muss mit http oder https beginnen
+10175=Mac-Adresse darf nicht leer sein
+10176=RAG-Konfiguration dataset_id darf nicht leer sein
+10177=RAG-Konfiguration model_id darf nicht leer sein
+10178=RAG-Konfiguration dataset_id und model_id dürfen nicht leer sein
+10179=Dateiname darf nicht leer sein
+10180=Dateiinhalt darf nicht leer sein
+10181=Stimmenklon-Name darf nicht leer sein
+10182=Stimmenklon-Audio nicht gefunden
+10183=Standard-Agent-Vorlage nicht gefunden
+10184=Nicht unterstützter Adaptertyp
+10185=RAG-Konfigurationsvalidierung fehlgeschlagen
+10186=Adapter-Erstellung fehlgeschlagen
+10187=Adapter-Initialisierung fehlgeschlagen
+10188=Adapter-Verbindungstest fehlgeschlagen
+10189=Adapter-Operation fehlgeschlagen
+10190=Adapter nicht gefunden
+10191=Adapter-Cache-Fehler
+10192=Adaptertyp nicht gefunden
@@ -145,4 +145,57 @@
 10136=Download link expired or invalid
 10137=Download link invalid
 10138=User
-10139=Agent
+10139=Agent
+10140=Audio file cannot be empty
+10141=Only audio files are supported
+10142=Audio file size cannot exceed 10MB
+10143=Upload failed
+10144=Voice clone record does not exist
+10145=Voice resource information cannot be empty
+10146=TTS platform name cannot be empty
+10147=Voice ID cannot be empty
+10148=Owner account cannot be empty
+10149=Voice resource ID to delete cannot be empty
+10150=You do not have permission to operate this record
+10151=Please upload audio file first
+10152=Model configuration not found
+10153=Model type not found
+10154=Training failed: {0}
+10155=Huoshan Engine configuration missing
+10156=Response format error, missing BaseResp field
+10157=Request failed
+10158=Clone Voice:
+10159=Voice ID already exists
+10160=Huoshan Engine voice ID format error, must start with S_
+10161=Mac address already exists
+10162=Model provider does not exist
+10163=Knowledge base record does not exist
+10164=RAG configuration not found
+10165=RAG configuration type error
+10166=Default RAG configuration not found
+10167=RAG API call failed: {0}
+10168=Upload file failed
+10169=No permission to operate this knowledge base
+10170=Knowledge base name already exists
+10171=RAG configuration base_url cannot be empty
+10172=RAG configuration api_key cannot be empty
+10173=RAG configuration api_key cannot contain placeholder, please replace with actual API key
+10174=RAG configuration base_url format error, must start with http or https
+10175=Mac address cannot be empty
+10176=RAG configuration dataset_id cannot be empty
+10177=RAG configuration model_id cannot be empty
+10178=RAG configuration dataset_id and model_id cannot be empty
+10179=File name cannot be empty
+10180=File content cannot be empty
+10181=Voice clone name cannot be empty
+10182=Voice clone audio not found
+10183=Default agent template not found
+10184=Unsupported adapter type
+10185=RAG configuration validation failed
+10186=Adapter creation failed
+10187=Adapter initialization failed
+10188=Adapter connection test failed
+10189=Adapter operation failed
+10190=Adapter not found
+10191=Adapter cache error
+10192=Adapter type not found
--- a/Show More
+++ b/Show More