Merge pull request #2915 from xinnan-tech/test-arm64-docker

update:兼容arm架构字体
2026-07-23 23:53:55 +08:00 · 2026-01-28 11:40:26 +08:00 · 2026-01-28 11:39:50 +08:00 · 2026-01-28 11:34:54 +08:00 · 2026-01-28 11:34:16 +08:00 · 2026-01-28 11:13:40 +08:00
512 changed files with 83949 additions and 7155 deletions
@@ -37,7 +37,7 @@ jobs:
          file: Dockerfile-server-base
          push: true
          tags: ghcr.io/${{ github.repository }}:server-base
-          platforms: linux/amd64
+          platforms: linux/amd64,linux/arm64
          cache-from: type=gha,scope=server-base
          cache-to: type=gha,mode=max,scope=server-base
          build-args: |
@@ -66,7 +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
+          platforms: linux/amd64,linux/arm64
          cache-from: type=gha
          cache-to: type=gha,mode=max
          build-args: |
@@ -81,7 +81,7 @@ 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
+          platforms: linux/amd64,linux/arm64
          cache-from: type=gha
          cache-to: type=gha,mode=max
          build-args: |
@@ -1,5 +1,5 @@
 # 第一阶段：构建Vue前端
-FROM node:18 as web-builder
+FROM node:18 AS web-builder
 WORKDIR /app
 COPY main/manager-web/package*.json ./
 RUN npm install
@@ -7,7 +7,7 @@ COPY main/manager-web .
 RUN npm run build

 # 第二阶段：构建Java后端
-FROM maven:3.9.4-eclipse-temurin-21 as api-builder
+FROM maven:3.9.4-eclipse-temurin-21 AS api-builder
 WORKDIR /app
 COPY main/manager-api/pom.xml .
 COPY main/manager-api/src ./src
@@ -18,18 +18,18 @@ FROM bellsoft/liberica-runtime-container:jre-21-glibc

 # 安装Nginx和字体库
 RUN apk update && \
-    apk add --no-cache --repository=http://dl-cdn.alpinelinux.org/alpine/edge/testing/ \
+    apk add --no-cache --no-scripts \
        nginx \
        bash \
        fontconfig \
        ttf-dejavu \
-        msttcorefonts-installer \
-    && ACCEPT_EULA=Y apk add --no-cache msttcorefonts-installer \
-    && fc-cache -f -v \
    && rm -rf /var/cache/apk/*

+# 复制项目自带的中文字体
+COPY main/manager-web/public/generator/static/fonts/*.ttf /usr/share/fonts/
+
 # 更新字体缓存
-RUN (printf 'YES\n' | update-ms-fonts || true) && fc-cache -f -v
+RUN fc-cache -f -v

 # 配置Nginx
 COPY docs/docker/nginx.conf /etc/nginx/nginx.conf
@@ -183,8 +183,8 @@ Spearheaded by Professor Siyuan Liu's Team (South China University of Technology
 #### 🚀 部署方式选择
 | 部署方式 | 特点 | 适用场景 | 部署文档 | 配置要求 | 视频教程 | 
 |---------|------|---------|---------|---------|---------|
-| **最简化安装** | 智能对话、IOT、MCP、视觉感知 | 低配置环境，数据存储在配置文件，无需数据库 | [①Docker版](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②源码部署](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E5%8F%AA%E8%BF%90%E8%A1%8Cserver)| 如果使用`FunASR`要2核4G，如果全API，要2核2G | - | 
-| **全模块安装** | 智能对话、IOT、MCP接入点、声纹识别、视觉感知、OTA、智控台 | 完整功能体验，数据存储在数据库 |[①Docker版](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [②源码部署](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [③源码部署自动更新教程](./docs/dev-ops-integration.md) | 如果使用`FunASR`要4核8G，如果全API，要2核4G| [本地源码启动视频教程](https://www.bilibili.com/video/BV1wBJhz4Ewe) | 
+| **最简化安装** | 智能对话、单智能体管理 | 低配置环境，数据存储在配置文件，无需数据库 | [①Docker版](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②源码部署](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E5%8F%AA%E8%BF%90%E8%A1%8Cserver)| 如果使用`FunASR`要2核4G，如果全API，要2核2G | - | 
+| **全模块安装** | 智能对话、多用户管理、多智能体管理、智控台界面操作 | 完整功能体验，数据存储在数据库 |[①Docker版](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [②源码部署](./docs/Deployment_all.md#%E6%96%B9%E5%BC%8F%E4%BA%8C%E6%9C%AC%E5%9C%B0%E6%BA%90%E7%A0%81%E8%BF%90%E8%A1%8C%E5%85%A8%E6%A8%A1%E5%9D%97) / [③源码部署自动更新教程](./docs/dev-ops-integration.md) | 如果使用`FunASR`要4核8G，如果全API，要2核4G| [本地源码启动视频教程](https://www.bilibili.com/video/BV1wBJhz4Ewe) | 

 常见问题及相关教程，可参考[这个链接](./docs/FAQ.md)

@@ -211,10 +211,10 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/

 | 模块名称 | 入门全免费设置 | 流式配置 |
 |:---:|:---:|:---:|
-| ASR(语音识别) | FunASR(本地) | 👍FunASR(本地GPU模式) |
-| LLM(大模型) | ChatGLMLLM(智谱glm-4-flash) | 👍AliLLM(qwen3-235b-a22b-instruct-2507) 或 👍DoubaoLLM(doubao-1-5-pro-32k-250115) |
-| VLLM(视觉大模型) | ChatGLMVLLM(智谱glm-4v-flash) | 👍QwenVLVLLM(千问qwen2.5-vl-3b-instructh) |
-| TTS(语音合成) | ✅LinkeraiTTS(灵犀流式) | 👍HuoshanDoubleStreamTTS(火山双流式语音合成) 或 👍AliyunStreamTTS(阿里云流式语音合成) |
+| ASR(语音识别) | FunASR(本地) | 👍XunfeiStreamASR(讯飞流式) |
+| LLM(大模型) | glm-4-flash(智谱) | 👍qwen-flash(阿里百炼) |
+| VLLM(视觉大模型) | glm-4v-flash(智谱) | 👍qwen2.5-vl-3b-instructh(阿里百炼) |
+| TTS(语音合成) | ✅LinkeraiTTS(灵犀流式) | 👍HuoshanDoubleStreamTTS(火山流式) |
 | Intent(意图识别) | function_call(函数调用) | function_call(函数调用) |
 | Memory(记忆功能) | mem_local_short(本地短期记忆） | mem_local_short（本地短期记忆） |

@@ -260,7 +260,7 @@ Websocket接口地址: wss://2662r3426b.vicp.fun/xiaozhi/v1/
 ---

 ## 产品生态 👬
-小智是一个生态，当你使用这个产品时，也可以看看其他在这个生态圈的[优秀项目](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)
+小智是一个生态，当你使用这个产品时，也可以看看其他在这个生态圈的[优秀项目](https://github.com/78/xiaozhi-esp32/blob/main/README_zh.md#%E7%9B%B8%E5%85%B3%E5%BC%80%E6%BA%90%E9%A1%B9%E7%9B%AE)

 ---

@@ -181,8 +181,8 @@ Dieses Projekt bietet zwei Bereitstellungsmethoden. Bitte wählen Sie basierend
 #### 🚀 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) |
+| **Vereinfachte Installation** | Intelligenter Dialog, Einzel-Agenten-Verwaltung | 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, Mehrbenutzerverwaltung, Mehr-Agenten-Verwaltung, Intelligente Steuerkonsole-Bedienung | 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)

@@ -209,10 +209,10 @@ Websocket-Schnittstellenadresse: wss://2662r3426b.vicp.fun/xiaozhi/v1/

 | 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) |
+| ASR (Spracherkennung) | FunASR (Lokal) | 👍XunfeiStreamASR (Xunfei-Streaming) |
+| LLM (Großes Modell) | glm-4-flash (Zhipu) | 👍qwen-flash (Alibaba Bailian) |
+| VLLM (Vision Large Model) | glm-4v-flash (Zhipu) | 👍qwen2.5-vl-3b-instructh (Alibaba Bailian) |
+| TTS (Sprachsynthese) | ✅LinkeraiTTS (Lingxi-Streaming) | 👍HuoshanDoubleStreamTTS (Volcano-Streaming) |
 | Intent (Absichtserkennung) | function_call (Funktionsaufruf) | function_call (Funktionsaufruf) |
 | Memory (Gedächtnisfunktion) | mem_local_short (Lokales Kurzzeitgedächtnis) | mem_local_short (Lokales Kurzzeitgedächtnis) |

@@ -258,7 +258,7 @@ Wenn Sie ein Softwareentwickler sind, finden Sie hier einen [Offenen Brief an En
 ---

 ## 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
+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#related-open-source-projects) in diesem Ökosystem ansehen

 ---

@@ -181,8 +181,8 @@ This project provides two deployment methods. Please choose based on your specif
 #### 🚀 Deployment Method Selection
 | Deployment Method | Features | Applicable Scenarios | Deployment Docs | Configuration Requirements | Video Tutorials | 
 |---------|------|---------|---------|---------|---------|
-| **Simplified Installation** | Intelligent dialogue, IOT, MCP, visual perception | Low-configuration environments, data stored in config files, no database required | [①Docker Version](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②Source Code 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 cores 4GB if using `FunASR`, 2 cores 2GB if all APIs | - | 
-| **Full Module Installation** | Intelligent dialogue, IOT, MCP endpoints, voiceprint recognition, visual perception, OTA, intelligent control console | Complete functionality experience, data stored in database |[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) / [②Source Code 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) / [③Source Code Deployment Auto-Update Tutorial](./docs/dev-ops-integration.md) | 4 cores 8GB if using `FunASR`, 2 cores 4GB if all APIs| [Local Source Code Startup Video Tutorial](https://www.bilibili.com/video/BV1wBJhz4Ewe) | 
+| **Simplified Installation** | Intelligent dialogue, single agent management | Low-configuration environments, data stored in config files, no database required | [①Docker Version](./docs/Deployment.md#%E6%96%B9%E5%BC%8F%E4%B8%80docker%E5%8F%AA%E8%BF%90%E8%A1%8Cserver) / [②Source Code 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 cores 4GB if using `FunASR`, 2 cores 2GB if all APIs | - | 
+| **Full Module Installation** | Intelligent dialogue, multi-user management, multi-agent management, intelligent console interface operation | Complete functionality experience, data stored in database |[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) / [②Source Code 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) / [③Source Code Deployment Auto-Update Tutorial](./docs/dev-ops-integration.md) | 4 cores 8GB if using `FunASR`, 2 cores 4GB if all APIs| [Local Source Code Startup Video Tutorial](https://www.bilibili.com/video/BV1wBJhz4Ewe) | 


 > 💡 Note: Below is a test platform deployed with the latest code. You can burn and test if needed. Concurrent users: 6, data will be cleared daily.
@@ -208,10 +208,10 @@ Websocket Interface Address: wss://2662r3426b.vicp.fun/xiaozhi/v1/

 | Module Name | Entry Level Free Settings | Streaming Configuration |
 |:---:|:---:|:---:|
-| ASR(Speech Recognition) | FunASR(Local) | 👍FunASRServer or 👍DoubaoStreamASR |
-| LLM(Large Model) | ChatGLMLLM(Zhipu glm-4-flash) | 👍DoubaoLLM(Volcano doubao-1-5-pro-32k-250115) |
-| VLLM(Vision Large Model) | ChatGLMVLLM(Zhipu glm-4v-flash) | 👍QwenVLVLLM(Qwen qwen2.5-vl-3b-instructh) |
-| TTS(Speech Synthesis) | ✅LinkeraiTTS(Lingxi streaming) | 👍HuoshanDoubleStreamTTS(Volcano dual-stream speech synthesis) |
+| ASR(Speech Recognition) | FunASR(Local) | 👍XunfeiStreamASR(Xunfei Streaming) |
+| LLM(Large Model) | glm-4-flash(Zhipu) | 👍qwen-flash(Alibaba Bailian) |
+| VLLM(Vision Large Model) | glm-4v-flash(Zhipu) | 👍qwen2.5-vl-3b-instructh(Alibaba Bailian) |
+| TTS(Speech Synthesis) | ✅LinkeraiTTS(Lingxi streaming) | 👍HuoshanDoubleStreamTTS(Volcano Streaming) |
 | Intent(Intent Recognition) | function_call(Function calling) | function_call(Function calling) |
 | Memory(Memory function) | mem_local_short(Local short-term memory) | mem_local_short(Local short-term memory) |

@@ -256,7 +256,7 @@ If you are a software developer, here is an [Open Letter to Developers](docs/con
 ---

 ## Product Ecosystem 👬
-Xiaozhi is an ecosystem. When using this product, you can also check out other [excellent projects](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 this ecosystem
+Xiaozhi is an ecosystem. When using this product, you can also check out other [excellent projects](https://github.com/78/xiaozhi-esp32?tab=readme-ov-file#related-open-source-projects) in this ecosystem

 | Project Name | Project Address | Project Description |
 |:---------------------|:--------|:--------|
@@ -182,8 +182,8 @@ Dự án này cung cấp hai phương pháp triển khai, vui lòng chọn theo
 #### 🚀 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) |
+| **Cài đặt tối giản** | Đối thoại thông minh, quản lý đơn tác nhân | 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, quản lý đa người dùng, quản lý đa tác nhân, 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)

@@ -210,10 +210,10 @@ Công cụ kiểm tra dịch vụ: https://2662r3426b.vicp.fun/test/

 | 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) |
+| ASR(Nhận dạng giọng nói) | FunASR(Local) | 👍XunfeiStreamASR(Xunfei Streaming) |
+| LLM(Mô hình lớn) | glm-4-flash(Zhipu) | 👍qwen-flash(Alibaba Bailian) |
+| VLLM(Mô hình lớn thị giác) | glm-4v-flash(Zhipu) | 👍qwen2.5-vl-3b-instructh(Alibaba Bailian) |
+| TTS(Tổng hợp giọng nói) | ✅LinkeraiTTS(Lingxi streaming) | 👍HuoshanDoubleStreamTTS(Volcano Streaming) |
 | 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) |

@@ -259,7 +259,7 @@ Nếu bạn là một nhà phát triển phần mềm, đây có một [Lá thư
 ---

 ## 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
+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#related-open-source-projects) khác trong hệ sinh thái này

 ---

@@ -38,10 +38,10 @@ conda install conda-forge::ffmpeg

 | 模块名称 | 入门全免费设置 | 流式配置 |
 |:---:|:---:|:---:|
-| ASR(语音识别) | FunASR(本地) | 👍FunASR(本地GPU模式) |
-| LLM(大模型) | ChatGLMLLM(智谱glm-4-flash) | 👍AliLLM(qwen3-235b-a22b-instruct-2507) 或 👍DoubaoLLM(doubao-1-5-pro-32k-250115) |
-| VLLM(视觉大模型) | ChatGLMVLLM(智谱glm-4v-flash) | 👍QwenVLVLLM(千问qwen2.5-vl-3b-instructh) |
-| TTS(语音合成) | ✅LinkeraiTTS(灵犀流式) | 👍HuoshanDoubleStreamTTS(火山双流式语音合成) 或 👍AliyunStreamTTS(阿里云流式语音合成) |
+| ASR(语音识别) | FunASR(本地) | 👍XunfeiStreamASR(讯飞流式) |
+| LLM(大模型) | glm-4-flash(智谱) | 👍qwen-flash(阿里百炼) |
+| VLLM(视觉大模型) | glm-4v-flash(智谱) | 👍qwen2.5-vl-3b-instructh(阿里百炼) |
+| TTS(语音合成) | ✅LinkeraiTTS(灵犀流式) | 👍HuoshanDoubleStreamTTS(火山流式) |
 | Intent(意图识别) | function_call(函数调用) | function_call(函数调用) |
 | Memory(记忆功能) | mem_local_short(本地短期记忆） | mem_local_short（本地短期记忆） |

@@ -69,6 +69,7 @@ VAD:
 ### 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/>
+3、[单模块部署如何配置固件OTA自动升级](./ota-upgrade-guide.md)<br/>

 ### 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/>
@@ -80,6 +81,7 @@ VAD:
 7、[如何开启声纹识别](./voiceprint-integration.md)<br/>
 8、[新闻插件源配置指南](./newsnow_plugin_config.md)<br/>
 9、[知识库ragflow集成指南](./ragflow-integration.md)<br/>
+10、[如何部署上下文源](./context-provider-integration.md)<br/>

 ### 11、语音克隆、本地语音部署相关教程
 1、[如何在智控台克隆音色](./huoshan-streamTTS-voice-cloning.md)<br/>
@@ -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")
+```
@@ -23,6 +23,8 @@

 ### 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`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`音色克隆`，点击保存配置。即可在顶部菜单看到`音色克隆`按钮。
+
 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”；
@@ -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。

@@ -76,6 +76,7 @@ MQTT_PORT=1883            # MQTT服务器端口
 UDP_PORT=8884             # UDP服务器端口
 API_PORT=8007             # 管理API端口
 MQTT_SIGNATURE_KEY=test   # MQTT签名密钥
+SERVER_SECRET=Te1st12134  # 服务器密钥，请保持和智控台（server.secret）一致或者和xiaozhi-server里（server.auth_key）保持一致
 ```
 请注意`PUBLIC_IP`配置，确保其与实际公网IP一致，如果有域名就填域名。

@@ -85,6 +86,13 @@ MQTT_SIGNATURE_KEY=test   # MQTT签名密钥
 - 注意不要用简单的密码，比如`123456`、`test`等。
 - 注意不要用简单的密码，比如`123456`、`test`等。

+`SERVER_SECRET` 是用生成websocket连接的认证信息。
+
+1、如果你是全模块部署，且你的智控台的参数管理里`server.auth.enabled`设置成了`true`，那么，`SERVER_SECRET`需要和智控台（`server.secret`）保持一致。
+
+2、如果你是单模块部署，且你在配置文件里把`server.auth.enabled`设置成了`true`，那么，`SERVER_SECRET`需要和配置文件里（`server.auth_key`）保持一致。
+
+
 6. 启动MQTT网关
 ```
 # 启动服务
@@ -0,0 +1,142 @@
+# 单模块部署固件OTA自动升级配置指南
+
+本教程将指导你如何在**单模块部署**场景下配置固件OTA自动升级功能，实现设备固件的自动更新。
+
+如果你已经使用**全模块部署**，请忽略本教程。
+
+## 功能介绍
+
+在单模块部署中，xiaozhi-server内置了OTA固件管理功能，可以自动检测设备版本并下发升级固件。系统会根据设备型号和当前版本，自动匹配并推送最新的固件版本。
+
+## 前提条件
+
+- 你已经成功进行**单模块部署**并运行xiaozhi-server
+- 设备能够正常连接到服务器
+
+## 第一步 准备固件文件
+
+### 1. 创建固件存放目录
+
+固件文件需要放在`data/bin/`目录下。如果该目录不存在，请手动创建：
+
+```bash
+mkdir -p data/bin
+```
+
+### 2. 固件文件命名规则
+
+固件文件必须遵循以下命名格式：
+
+```
+{设备型号}_{版本号}.bin
+```
+
+**命名规则说明：**
+- `设备型号`：设备的型号名称，例如 `lichuang-dev`、`bread-compact-wifi` 等
+- `版本号`：固件版本号，必须以数字开头，支持数字、字母、点号、下划线和短横线，例如 `1.6.6`、`2.0.0` 等
+- 文件扩展名必须是 `.bin`
+
+**命名示例：**
+```
+bread-compact-wifi_1.6.6.bin
+lichuang-dev_2.0.0.bin
+```
+
+### 3. 放置固件文件
+
+将准备好的固件文件（.bin文件）复制到`data/bin/`目录下：
+
+重要的事情说三遍：升级的bin文件是`xiaozhi.bin`，不是全量固件文件`merged-binary.bin`!
+
+重要的事情说三遍：升级的bin文件是`xiaozhi.bin`，不是全量固件文件`merged-binary.bin`!
+
+重要的事情说三遍：升级的bin文件是`xiaozhi.bin`，不是全量固件文件`merged-binary.bin`!
+
+```bash
+cp xiaozhi.bin data/bin/设备型号_版本号.bin
+```
+
+例如：
+```bash
+cp xiaozhi.bin data/bin/bread-compact-wifi_1.6.6.bin
+```
+
+## 第二步 配置公网访问地址（仅公网部署需要）
+
+**注意：此步骤仅适用于单模块公网部署的场景。**
+
+如果你的xiaozhi-server是公网部署（使用公网IP或域名），**必须**配置`server.vision_explain`参数，因为OTA固件下载地址会使用该配置的域名和端口。
+
+如果你是局域网部署，可以跳过此步骤。
+
+### 为什么要配置这个参数？
+
+在单模块部署中，系统生成固件下载地址时，会使用`vision_explain`配置的域名和端口作为基础地址。如果不配置或配置错误，设备将无法访问固件下载地址。
+
+### 配置方法
+
+打开`data/.config.yaml`文件，找到`server`配置段，设置`vision_explain`参数：
+
+```yaml
+server:
+  vision_explain: http://你的域名或IP:端口号/mcp/vision/explain
+```
+
+**配置示例：**
+
+局域网部署（默认）：
+```yaml
+server:
+  vision_explain: http://192.168.1.100:8003/mcp/vision/explain
+```
+
+公网域名部署：
+```yaml
+server:
+  vision_explain: http://yourdomain.com:8003/mcp/vision/explain
+```
+
+### 注意事项
+
+- 域名或IP必须是设备能够访问的地址
+- 如果使用Docker部署，不能使用Docker内部地址（如127.0.0.1或localhost）
+- 如果你使用了nginx反向代理，请填写对外的地址和端口号，不是本项目运行的端口号
+
+
+## 常见问题
+
+### 1. 设备收不到固件更新
+
+**可能原因和解决方法：**
+
+- 检查固件文件命名是否符合规则：`{型号}_{版本号}.bin`
+- 检查固件文件是否正确放置在`data/bin/`目录
+- 检查设备型号是否与固件文件名中的型号匹配
+- 检查固件版本号是否高于设备当前版本
+- 查看服务器日志，确认OTA请求是否正常处理
+
+### 2. 设备报告下载地址无法访问
+
+**可能原因和解决方法：**
+
+- 检查`server.vision_explain`配置的域名或IP是否正确
+- 确认端口号配置正确（默认8003）
+- 如果是公网部署，确保设备能够访问该公网地址
+- 如果是Docker部署，确保不是使用了内部地址（127.0.0.1）
+- 检查防火墙是否开放了对应端口
+- 如果你使用了nginx反向代理，请填写对外的地址和端口号，不是本项目运行的端口号
+
+### 3. 如何确认设备当前版本
+
+查看OTA请求日志，日志中会显示设备上报的版本号：
+
+```
+[ota_handler] - 设备 AA:BB:CC:DD:EE:FF 固件已是最新: 1.6.6
+```
+
+### 4. 固件文件放置后没有生效
+
+系统有30秒的缓存时间（默认），可以：
+- 等待30秒后再让设备发起OTA请求
+- 重启xiaozhi-server服务
+- 调整`firmware_cache_ttl`配置为更短的时间
@@ -156,6 +156,14 @@ services:

 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
@@ -230,9 +238,11 @@ docker-compose -f docker-compose.yml up -d
 在弹框中，点击"Create new Key"按钮，生成一个API Key。复制这个`API Key`，你稍后会用到。

 # 第二步 配置到智控台
-确保你的智控台版本是`0.8.7`或以上。使用超级管理员账号登录到智控台。在顶部导航栏中，点击`模型配置`，在左侧导航栏中，点击`知识库`。
+确保你的智控台版本是`0.8.7`或以上。使用超级管理员账号登录到智控台。

-在列表中找到`RAG_RAGFlow`，点击`编辑`按钮。
+首先，你要先开启知识库功能。在顶部导航栏中，点击`参数字典`，在下拉菜单中，点击`系统功能配置`页面。在页面上勾选`知识库`，点击`保存配置`。即可在导航栏看到`知识库`功能。
+
+在顶部导航栏中，点击`模型配置`，在左侧导航栏中，点击`知识库`。在列表中找到`RAG_RAGFlow`，点击`编辑`按钮。

 在`服务地址`中，填写`http://你的ragflow服务的局域网IP:8008`，例如我的ragflow服务的局域网IP是`192.168.1.100`，那么我就填写`http://192.168.1.100:8008`。

@@ -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。
@@ -43,7 +43,7 @@ public class SwaggerConfig {
    public GroupedOpenApi oatApi() {
        return GroupedOpenApi.builder()
                .group("ota")
-                .pathsToMatch("/ota/**")
+                .pathsToMatch("/ota/**", "/otaMag/**")
                .build();
    }

@@ -141,6 +141,11 @@ public interface Constant {
     */
    String SERVER_MQTT_SECRET = "server.mqtt_signature_key";

+    /**
+     * WebSocket认证开关
+     */
+    String SERVER_AUTH_ENABLED = "server.auth.enabled";
+
    /**
     * 无记忆
     */
@@ -299,7 +304,7 @@ public interface Constant {
    /**
     * 版本号
     */
-    public static final String VERSION = "0.8.8";
+    public static final String VERSION = "0.9.1";

    /**
     * 无效固件URL
@@ -228,4 +228,21 @@ public interface ErrorCode {

    // 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
+
+    // 设备工具相关错误码
+    int DEVICE_ID_NOT_NULL = 10193; // 设备ID不能为空
+    int DEVICE_NOT_EXIST = 10194; // 设备不存在
+    int OTA_UPLOAD_COUNT_EXCEED = 10195; // OTA上传次数超过限制
+
 }
@@ -159,4 +159,32 @@ public class RedisKeys {
    public static String getKnowledgeBaseCacheKey(String datasetId) {
        return "knowledge:base:" + datasetId;
    }
+
+    /**
+     * 获取临时注册设备标记key
+     */
+    public static String getTmpRegisterMacKey(String deviceId) {
+        return "tmp_register_mac:" + deviceId;
+    }
+
+    /**
+     * OTA绑定设备
+     */
+    public static String getOtaActivationCode(String activationCode) {
+        return "ota:activation:code:" + activationCode;
+    }
+
+    /**
+     * OTA获取设备mac相关信息
+     */
+    public static String getOtaDeviceActivationInfo(String deviceId) {
+        return "ota:activation:data:" + deviceId;
+    }
+
+    /**
+     * OTA上传次数
+     */
+    public static String getOtaUploadCountKey(Long username) {
+        return "ota:upload:count:" + username;
+    }
 }
@@ -0,0 +1,89 @@
+package xiaozhi.common.utils;
+
+import cn.hutool.core.util.ReUtil;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.time.LocalDateTime;
+import java.time.ZoneId;
+import java.util.Date;
+import java.util.List;
+import java.util.Map;
+import java.util.Set;
+
+/**
+ * 通用工具类
+ */
+public class ToolUtil {
+    private static final Logger logger = LoggerFactory.getLogger(ToolUtil.class);
+
+    /**
+     * 对象是否不为空(新增)
+     */
+    public static boolean isNotEmpty(Object o) {
+        return !isEmpty(o);
+    }
+
+    /**
+     * 对象是否为空
+     */
+    public static boolean isEmpty(Object o) {
+        if (o == null) {
+            return true;
+        }
+        if (o instanceof String) {
+            if (o.toString().trim().equals("")) {
+                return true;
+            }
+        } else if (o instanceof List) {
+            if (((List) o).size() == 0) {
+                return true;
+            }
+        } else if (o instanceof Map) {
+            if (((Map) o).size() == 0) {
+                return true;
+            }
+        } else if (o instanceof Set) {
+            if (((Set) o).size() == 0) {
+                return true;
+            }
+        } else if (o instanceof Object[]) {
+            if (((Object[]) o).length == 0) {
+                return true;
+            }
+        } else if (o instanceof int[]) {
+            if (((int[]) o).length == 0) {
+                return true;
+            }
+        } else if (o instanceof long[]) {
+            if (((long[]) o).length == 0) {
+                return true;
+            }
+        }
+        return false;
+    }
+
+    /**
+     * 对象组中是否存在空对象
+     */
+    public static boolean isOneEmpty(Object... os) {
+        for (Object o : os) {
+            if (isEmpty(o)) {
+                return true;
+            }
+        }
+        return false;
+    }
+
+    /**
+     * 对象组中是否全是空对象
+     */
+    public static boolean isAllEmpty(Object... os) {
+        for (Object o : os) {
+            if (!isEmpty(o)) {
+                return false;
+            }
+        }
+        return true;
+    }
+}
@@ -44,6 +44,8 @@ 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.AgentChatSummaryService;
+import xiaozhi.modules.agent.service.AgentContextProviderService;
 import xiaozhi.modules.agent.service.AgentPluginMappingService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.AgentTemplateService;
@@ -64,14 +66,20 @@ public class AgentController {
    private final AgentChatHistoryService agentChatHistoryService;
    private final AgentChatAudioService agentChatAudioService;
    private final AgentPluginMappingService agentPluginMappingService;
+    private final AgentContextProviderService agentContextProviderService;
+    private final AgentChatSummaryService agentChatSummaryService;
    private final RedisUtils redisUtils;

    @GetMapping("/list")
    @Operation(summary = "获取用户智能体列表")
    @RequiresPermissions("sys:role:normal")
-    public Result<List<AgentDTO>> getUserAgents() {
+    public Result<List<AgentDTO>> getUserAgents(
+            @RequestParam(value = "keyword", required = false) String keyword,
+            @RequestParam(value = "searchType", defaultValue = "name") String searchType) {
        UserDetail user = SecurityUser.getUser();
-        List<AgentDTO> agents = agentService.getUserAgents(user.getId());
+        
+        // 直接调用整合后的getUserAgents方法，无需再区分搜索和普通查询
+        List<AgentDTO> agents = agentService.getUserAgents(user.getId(), keyword, searchType);
        return new Result<List<AgentDTO>>().ok(agents);
    }

@@ -117,6 +125,27 @@ public class AgentController {
        return new Result<>();
    }

+    @PostMapping("/chat-summary/{sessionId}/save")
+    @Operation(summary = "根据会话ID生成聊天记录总结并保存（异步执行）")
+    public Result<Void> generateAndSaveChatSummary(@PathVariable String sessionId) {
+        try {
+            // 异步执行总结生成任务，立即返回成功响应
+            new Thread(() -> {
+                try {
+                    agentChatSummaryService.generateAndSaveChatSummary(sessionId);
+                    System.out.println("异步执行会话 " + sessionId + " 的聊天记录总结完成");
+                } catch (Exception e) {
+                    System.err.println("异步执行会话 " + sessionId + " 的聊天记录总结失败: " + e.getMessage());
+                }
+            }).start();
+
+            // 立即返回成功响应，不等待总结生成完成
+            return new Result<Void>().ok(null);
+        } catch (Exception e) {
+            return new Result<Void>().error("启动异步总结生成任务失败: " + e.getMessage());
+        }
+    }
+
    @PutMapping("/{id}")
    @Operation(summary = "更新智能体")
    @RequiresPermissions("sys:role:normal")
@@ -135,6 +164,8 @@ 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<>();
@@ -182,6 +213,7 @@ public class AgentController {
        List<AgentChatHistoryDTO> result = agentChatHistoryService.getChatHistoryBySessionId(id, sessionId);
        return new Result<List<AgentChatHistoryDTO>>().ok(result);
    }
+
    @GetMapping("/{id}/chat-history/user")
    @Operation(summary = "获取智能体聊天记录（用户）")
    @RequiresPermissions("sys:role:normal")
@@ -243,4 +275,6 @@ public class AgentController {
                .body(audioData);
    }

+
+
 }
@@ -28,7 +28,7 @@ public class AgentMcpAccessPointController {
    /**
     * 获取智能体的Mcp接入点地址
     * 
-     * @param audioId 智能体id
+     * @param agentId 智能体id
     * @return 返回错误提醒或者Mcp接入点地址
     */
    @Operation(summary = "获取智能体的Mcp接入点地址")
@@ -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> {
+}
@@ -1,6 +1,9 @@
 package xiaozhi.modules.agent.dao;

+import java.util.List;
+
 import org.apache.ibatis.annotations.Mapper;
+import org.apache.ibatis.annotations.Param;

 import com.baomidou.mybatisplus.core.mapper.BaseMapper;

@@ -15,12 +18,6 @@ import xiaozhi.modules.agent.entity.AgentChatHistoryEntity;
 */
@Mapper
 public interface AiAgentChatHistoryDao extends BaseMapper<AgentChatHistoryEntity> {
-    /**
-     * 根据智能体ID删除音频
-     *
-     * @param agentId 智能体ID
-     */
-    void deleteAudioByAgentId(String agentId);

    /**
     * 根据智能体ID删除聊天历史记录
@@ -35,4 +32,19 @@ public interface AiAgentChatHistoryDao extends BaseMapper<AgentChatHistoryEntity
     * @param agentId 智能体ID
     */
    void deleteAudioIdByAgentId(String agentId);
+
+    /**
+     * 根据智能体ID获取所有音频ID列表
+     *
+     * @param agentId 智能体ID
+     * @return 音频ID列表
+     */
+    List<String> getAudioIdsByAgentId(String agentId);
+
+    /**
+     * 批量删除音频
+     *
+     * @param audioIds 音频ID列表
+     */
+    void deleteAudioByIds(@Param("audioIds") List<String> audioIds);
 }
@@ -0,0 +1,45 @@
+package xiaozhi.modules.agent.dto;
+
+import io.swagger.v3.oas.annotations.media.Schema;
+import lombok.Data;
+
+/**
+ * 智能体聊天记录总结DTO
+ */
+@Data
+@Schema(description = "智能体聊天记录总结对象")
+public class AgentChatSummaryDTO {
+
+    @Schema(description = "会话ID")
+    private String sessionId;
+
+    @Schema(description = "智能体ID")
+    private String agentId;
+
+    @Schema(description = "总结内容")
+    private String summary;
+
+    @Schema(description = "总结状态")
+    private boolean success;
+
+    @Schema(description = "错误信息")
+    private String errorMessage;
+
+    public AgentChatSummaryDTO() {
+        this.success = true;
+    }
+
+    public AgentChatSummaryDTO(String sessionId, String agentId, String summary) {
+        this.sessionId = sessionId;
+        this.agentId = agentId;
+        this.summary = summary;
+        this.success = true;
+    }
+
+    public AgentChatSummaryDTO(String sessionId, String errorMessage) {
+        this.sessionId = sessionId;
+        this.errorMessage = errorMessage;
+        this.success = false;
+    }
+
+}
@@ -1,6 +1,7 @@
 package xiaozhi.modules.agent.dto;

 import java.util.Date;
+import java.util.List;

 import io.swagger.v3.oas.annotations.media.Schema;
 import lombok.Data;
@@ -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 +1,15 @@
+package xiaozhi.modules.agent.service;
+
+/**
+ * 智能体聊天记录总结服务接口
+ */
+public interface AgentChatSummaryService {
+
+    /**
+     * 根据会话ID生成聊天记录总结并保存到智能体记忆
+     * 
+     * @param sessionId 会话ID
+     * @return 保存结果
+     */
+    boolean generateAndSaveChatSummary(String sessionId);
+}
@@ -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);
+}
@@ -54,9 +54,11 @@ public interface AgentService extends BaseService<AgentEntity> {
     * 获取用户智能体列表
     *
     * @param userId 用户ID
+     * @param keyword 搜索关键词
+     * @param searchType 搜索类型（name - 按名称搜索，mac - 按MAC地址搜索）
     * @return 智能体列表
     */
-    List<AgentDTO> getUserAgents(Long userId);
+    List<AgentDTO> getUserAgents(Long userId, String keyword, String searchType);

    /**
     * 根据智能体ID获取设备数量
@@ -98,4 +100,6 @@ public interface AgentService extends BaseService<AgentEntity> {
     * @return 创建的智能体ID
     */
    String createAgent(AgentCreateDTO dto);
+
+
 }
@@ -17,6 +17,7 @@ import xiaozhi.modules.agent.entity.AgentChatHistoryEntity;
 import xiaozhi.modules.agent.entity.AgentEntity;
 import xiaozhi.modules.agent.service.AgentChatAudioService;
 import xiaozhi.modules.agent.service.AgentChatHistoryService;
+import xiaozhi.modules.agent.service.AgentChatSummaryService;
 import xiaozhi.modules.agent.service.AgentService;
 import xiaozhi.modules.agent.service.biz.AgentChatHistoryBizService;
 import xiaozhi.modules.device.entity.DeviceEntity;
@@ -36,6 +37,7 @@ public class AgentChatHistoryBizServiceImpl implements AgentChatHistoryBizServic
    private final AgentService agentService;
    private final AgentChatHistoryService agentChatHistoryService;
    private final AgentChatAudioService agentChatAudioService;
+    private final AgentChatSummaryService agentChatSummaryService;
    private final RedisUtils redisUtils;
    private final DeviceService deviceService;

@@ -50,7 +52,8 @@ public class AgentChatHistoryBizServiceImpl implements AgentChatHistoryBizServic
    public Boolean report(AgentChatHistoryReportDTO report) {
        String macAddress = report.getMacAddress();
        Byte chatType = report.getChatType();
-        Long reportTimeMillis = null != report.getReportTime() ? report.getReportTime() * 1000 : System.currentTimeMillis();
+        Long reportTimeMillis = null != report.getReportTime() ? report.getReportTime() * 1000
+                : System.currentTimeMillis();
        log.info("小智设备聊天上报请求: macAddress={}, type={} reportTime={}", macAddress, chatType, reportTimeMillis);

        // 根据设备MAC地址查询对应的默认智能体，判断是否需要上报
@@ -105,7 +108,8 @@ public class AgentChatHistoryBizServiceImpl implements AgentChatHistoryBizServic
    /**
     * 组装上报数据
     */
-    private void saveChatText(AgentChatHistoryReportDTO report, String agentId, String macAddress, String audioId, Long reportTime) {
+    private void saveChatText(AgentChatHistoryReportDTO report, String agentId, String macAddress, String audioId,
+            Long reportTime) {
        // 构建聊天记录实体
        AgentChatHistoryEntity entity = AgentChatHistoryEntity.builder()
                .macAddress(macAddress)
@@ -5,6 +5,7 @@ import java.util.List;
 import java.util.Map;
 import java.util.stream.Collectors;

+import cn.hutool.core.collection.ListUtil;
 import org.springframework.stereotype.Service;
 import org.springframework.transaction.annotation.Transactional;

@@ -18,6 +19,7 @@ import xiaozhi.common.constant.Constant;
 import xiaozhi.common.page.PageData;
 import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.JsonUtils;
+import xiaozhi.common.utils.ToolUtil;
 import xiaozhi.modules.agent.Enums.AgentChatHistoryType;
 import xiaozhi.modules.agent.dao.AiAgentChatHistoryDao;
 import xiaozhi.modules.agent.dto.AgentChatHistoryDTO;
@@ -84,7 +86,15 @@ public class AgentChatHistoryServiceImpl extends ServiceImpl<AiAgentChatHistoryD
    @Transactional(rollbackFor = Exception.class)
    public void deleteByAgentId(String agentId, Boolean deleteAudio, Boolean deleteText) {
        if (deleteAudio) {
-            baseMapper.deleteAudioByAgentId(agentId);
+            // 分批删除音频,避免超时
+            List<String> audioIds = baseMapper.getAudioIdsByAgentId(agentId);
+            if (ToolUtil.isNotEmpty(audioIds)) {
+                // 每批删除1000条
+                List<List<String>> batch = ListUtil.split(audioIds, 1000);
+                batch.forEach(dataList->{
+                    baseMapper.deleteAudioByIds(dataList);
+                });
+            }
        }
        if (deleteAudio && !deleteText) {
            baseMapper.deleteAudioIdByAgentId(agentId);
@@ -107,7 +117,7 @@ public class AgentChatHistoryServiceImpl extends ServiceImpl<AiAgentChatHistoryD
                // 添加此行，确保查询结果按照创建时间降序排列
                // 使用id的原因：数据形式，id越大的创建时间就越晚，所以使用id的结果和创建时间降序排列结果一样
                // id作为降序排列的优势，性能高，有主键索引，不用在排序的时候重新进行排除扫描比较
-                .orderByDesc(AgentChatHistoryEntity::getId); 
+                .orderByDesc(AgentChatHistoryEntity::getId);

        // 构建分页查询，查询前50页数据
        Page<AgentChatHistoryEntity> pageParam = new Page<>(0, 50);
@@ -0,0 +1,423 @@
+package xiaozhi.modules.agent.service.impl;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+import org.apache.commons.lang3.StringUtils;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+import org.springframework.stereotype.Service;
+
+import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
+
+import lombok.RequiredArgsConstructor;
+import xiaozhi.modules.agent.dto.AgentChatHistoryDTO;
+import xiaozhi.modules.agent.dto.AgentChatSummaryDTO;
+import xiaozhi.modules.agent.dto.AgentMemoryDTO;
+import xiaozhi.modules.agent.dto.AgentUpdateDTO;
+import xiaozhi.modules.agent.entity.AgentChatHistoryEntity;
+import xiaozhi.modules.agent.service.AgentChatHistoryService;
+import xiaozhi.modules.agent.service.AgentChatSummaryService;
+import xiaozhi.modules.agent.service.AgentService;
+import xiaozhi.modules.agent.vo.AgentInfoVO;
+import xiaozhi.modules.device.entity.DeviceEntity;
+import xiaozhi.modules.device.service.DeviceService;
+import xiaozhi.modules.llm.service.LLMService;
+import xiaozhi.modules.model.entity.ModelConfigEntity;
+import xiaozhi.modules.model.service.ModelConfigService;
+
+/**
+ * 智能体聊天记录总结服务实现类
+ * 实现Python端mem_local_short.py中的总结逻辑
+ */
+@Service
+@RequiredArgsConstructor
+public class AgentChatSummaryServiceImpl implements AgentChatSummaryService {
+
+    private static final Logger log = LoggerFactory.getLogger(AgentChatSummaryServiceImpl.class);
+
+    private final AgentChatHistoryService agentChatHistoryService;
+    private final AgentService agentService;
+    private final DeviceService deviceService;
+    private final LLMService llmService;
+    private final ModelConfigService modelConfigService;
+
+    // 总结规则常量
+    private static final int MAX_SUMMARY_LENGTH = 1800; // 最大总结长度
+    private static final Pattern JSON_PATTERN = Pattern.compile("\\{.*?\\}", Pattern.DOTALL);
+    private static final Pattern DEVICE_CONTROL_PATTERN = Pattern.compile("设备控制|设备操作|控制设备|设备状态",
+            Pattern.CASE_INSENSITIVE);
+    private static final Pattern WEATHER_PATTERN = Pattern.compile("天气|温度|湿度|降雨|气象", Pattern.CASE_INSENSITIVE);
+    private static final Pattern DATE_PATTERN = Pattern.compile("日期|时间|星期|月份|年份", Pattern.CASE_INSENSITIVE);
+
+    private AgentChatSummaryDTO generateChatSummary(String sessionId) {
+        try {
+            System.out.println("开始生成会话 " + sessionId + " 的聊天记录总结");
+
+            // 1. 根据sessionId获取聊天记录
+            List<AgentChatHistoryDTO> chatHistory = getChatHistoryBySessionId(sessionId);
+            if (chatHistory == null || chatHistory.isEmpty()) {
+                return new AgentChatSummaryDTO(sessionId, "未找到该会话的聊天记录");
+            }
+
+            // 2. 获取智能体信息
+            String agentId = getAgentIdFromSession(sessionId, chatHistory);
+            if (StringUtils.isBlank(agentId)) {
+                return new AgentChatSummaryDTO(sessionId, "无法获取智能体信息");
+            }
+
+            // 3. 提取关键对话内容
+            List<String> meaningfulMessages = extractMeaningfulMessages(chatHistory);
+            if (meaningfulMessages.isEmpty()) {
+                return new AgentChatSummaryDTO(sessionId, "没有有效的对话内容可总结");
+            }
+
+            // 4. 生成总结（generateSummaryFromMessages方法已包含长度限制逻辑）
+            String summary = generateSummaryFromMessages(meaningfulMessages, agentId);
+
+            log.info("成功生成会话 {} 的聊天记录总结，长度: {} 字符", sessionId, summary.length());
+            return new AgentChatSummaryDTO(sessionId, agentId, summary);
+
+        } catch (Exception e) {
+            log.error("生成会话 {} 的聊天记录总结时发生错误: {}", sessionId, e.getMessage());
+            return new AgentChatSummaryDTO(sessionId, "生成总结时发生错误: " + e.getMessage());
+        }
+    }
+
+    @Override
+    public boolean generateAndSaveChatSummary(String sessionId) {
+        try {
+            // 1. 生成总结
+            AgentChatSummaryDTO summaryDTO = generateChatSummary(sessionId);
+            if (!summaryDTO.isSuccess()) {
+                log.info("生成总结失败: {}", summaryDTO.getErrorMessage());
+                return false;
+            }
+
+            // 2. 获取设备信息（通过会话关联的设备）
+            DeviceEntity device = getDeviceBySessionId(sessionId);
+            if (device == null) {
+                log.info("未找到与会话 {} 关联的设备", sessionId);
+                return false;
+            }
+
+            // 3. 更新智能体记忆
+            AgentMemoryDTO memoryDTO = new AgentMemoryDTO();
+            memoryDTO.setSummaryMemory(summaryDTO.getSummary());
+
+            // 调用现有接口更新记忆
+            agentService.updateAgentById(device.getAgentId(),
+                    new AgentUpdateDTO() {
+                        {
+                            setSummaryMemory(summaryDTO.getSummary());
+                        }
+                    });
+
+            log.info("成功保存会话 {} 的聊天记录总结到智能体 {}", sessionId, device.getAgentId());
+            return true;
+
+        } catch (Exception e) {
+            log.error("保存会话 {} 的聊天记录总结时发生错误: {}", sessionId, e.getMessage());
+            return false;
+        }
+    }
+
+    /**
+     * 根据会话ID获取聊天记录
+     */
+    private List<AgentChatHistoryDTO> getChatHistoryBySessionId(String sessionId) {
+        try {
+            // 这里需要根据sessionId获取聊天记录
+            // 由于现有接口需要agentId，我们需要先找到关联的agentId
+            String agentId = findAgentIdBySessionId(sessionId);
+            if (StringUtils.isBlank(agentId)) {
+                return null;
+            }
+            return agentChatHistoryService.getChatHistoryBySessionId(agentId, sessionId);
+        } catch (Exception e) {
+            log.error("获取会话 {} 的聊天记录失败: {}", sessionId, e.getMessage());
+            return null;
+        }
+    }
+
+    /**
+     * 根据会话ID查找关联的智能体ID
+     */
+    private String findAgentIdBySessionId(String sessionId) {
+        try {
+            // 查询该会话的第一条记录获取agentId
+            QueryWrapper<AgentChatHistoryEntity> wrapper = new QueryWrapper<>();
+            wrapper.select("agent_id")
+                    .eq("session_id", sessionId)
+                    .last("LIMIT 1");
+
+            AgentChatHistoryEntity entity = agentChatHistoryService.getOne(wrapper);
+            return entity != null ? entity.getAgentId() : null;
+        } catch (Exception e) {
+            log.error("根据会话ID {} 查找智能体ID失败: {}", sessionId, e.getMessage());
+            return null;
+        }
+    }
+
+    /**
+     * 从会话中获取智能体ID
+     */
+    private String getAgentIdFromSession(String sessionId, List<AgentChatHistoryDTO> chatHistory) {
+        // 直接从数据库查询智能体ID
+        return findAgentIdBySessionId(sessionId);
+    }
+
+    /**
+     * 提取有意义的对话内容（只提取用户消息，排除AI回复）
+     */
+    private List<String> extractMeaningfulMessages(List<AgentChatHistoryDTO> chatHistory) {
+        List<String> meaningfulMessages = new ArrayList<>();
+
+        for (AgentChatHistoryDTO message : chatHistory) {
+            // 只处理用户消息（chatType = 1）
+            if (message.getChatType() != null && message.getChatType() == 1) {
+                String content = extractContentFromMessage(message);
+                if (isMeaningfulMessage(content)) {
+                    meaningfulMessages.add(content);
+                }
+            }
+        }
+
+        return meaningfulMessages;
+    }
+
+    /**
+     * 从消息中提取内容（处理JSON格式）
+     */
+    private String extractContentFromMessage(AgentChatHistoryDTO message) {
+        String content = message.getContent();
+        if (StringUtils.isBlank(content)) {
+            return "";
+        }
+
+        // 处理JSON格式内容（与前端ChatHistoryDialog.vue逻辑一致）
+        Matcher matcher = JSON_PATTERN.matcher(content);
+        if (matcher.find()) {
+            String jsonContent = matcher.group();
+            // 简化处理：提取JSON中的文本内容
+            return extractTextFromJson(jsonContent);
+        }
+
+        return content;
+    }
+
+    /**
+     * 从JSON中提取文本内容
+     */
+    private String extractTextFromJson(String jsonContent) {
+        // 简化处理：提取"content"字段的值
+        Pattern contentPattern = Pattern.compile("\"content\"\s*:\s*\"([^\"]*)\"");
+        Matcher matcher = contentPattern.matcher(jsonContent);
+        if (matcher.find()) {
+            return matcher.group(1);
+        }
+        return jsonContent;
+    }
+
+    /**
+     * 判断是否为有意义的消息
+     */
+    private boolean isMeaningfulMessage(String content) {
+        if (StringUtils.isBlank(content)) {
+            return false;
+        }
+
+        // 排除设备控制信息
+        if (DEVICE_CONTROL_PATTERN.matcher(content).find()) {
+            return false;
+        }
+
+        // 排除日期天气等无关内容
+        if (WEATHER_PATTERN.matcher(content).find() || DATE_PATTERN.matcher(content).find()) {
+            return false;
+        }
+
+        // 排除过短的消息
+        return content.length() >= 5;
+    }
+
+    /**
+     * 从消息生成总结
+     */
+    private String generateSummaryFromMessages(List<String> messages, String agentId) {
+        if (messages.isEmpty()) {
+            return "本次对话内容较少，没有需要总结的重要信息。";
+        }
+
+        // 构建完整的对话内容
+        StringBuilder conversation = new StringBuilder();
+        for (int i = 0; i < messages.size(); i++) {
+            conversation.append("消息").append(i + 1).append(": ").append(messages.get(i)).append("\n");
+        }
+
+        try {
+            // 获取当前智能体的历史记忆
+            String historyMemory = getCurrentAgentMemory(agentId);
+
+            // 调用LLM服务进行智能总结，传递agentId以获取正确的模型配置
+            String summary = callJavaLLMForSummaryWithHistory(conversation.toString(), historyMemory, agentId);
+
+            // 应用总结规则：限制最大长度
+            if (summary.length() > MAX_SUMMARY_LENGTH) {
+                summary = summary.substring(0, MAX_SUMMARY_LENGTH) + "...";
+            }
+
+            return summary;
+        } catch (Exception e) {
+            log.error("调用Java端LLM服务失败: {}", e.getMessage());
+            throw new RuntimeException("LLM服务不可用，无法生成聊天总结");
+        }
+    }
+
+    /**
+     * 获取当前智能体的历史记忆
+     */
+    private String getCurrentAgentMemory(String agentId) {
+        try {
+            if (StringUtils.isBlank(agentId)) {
+                return null;
+            }
+
+            // 获取智能体信息
+            AgentInfoVO agentInfo = agentService.getAgentById(agentId);
+            if (agentInfo == null) {
+                return null;
+            }
+
+            // 返回智能体的当前总结记忆
+            return agentInfo.getSummaryMemory();
+        } catch (Exception e) {
+            log.error("获取智能体历史记忆失败，agentId: {}, 错误: {}", agentId, e.getMessage());
+            return null;
+        }
+    }
+
+    /**
+     * 调用Java端LLM服务进行智能总结（支持历史记忆合并）
+     */
+    private String callJavaLLMForSummaryWithHistory(String conversation, String historyMemory, String agentId) {
+        try {
+            // 获取智能体配置，从中提取记忆总结的模型ID
+            String modelId = getMemorySummaryModelId(agentId);
+
+            if (StringUtils.isBlank(modelId)) {
+                log.info("未找到记忆总结的LLM模型配置，使用默认LLM服务");
+                return llmService.generateSummaryWithHistory(conversation, historyMemory, null, null);
+            }
+
+            // 使用指定的模型ID调用LLM服务（支持历史记忆合并）
+            String summary = llmService.generateSummaryWithHistory(conversation, historyMemory, null, modelId);
+
+            if (StringUtils.isNotBlank(summary) && !summary.equals("服务暂不可用") && !summary.equals("总结生成失败")) {
+                return summary;
+            }
+
+            throw new RuntimeException("Java端LLM服务返回异常: " + summary);
+
+        } catch (Exception e) {
+            log.error("调用Java端LLM服务异常，agentId: {}, 错误: {}", agentId, e.getMessage());
+            throw e;
+        }
+    }
+
+    /**
+     * 调用Java端LLM服务进行智能总结
+     */
+    private String callJavaLLMForSummary(String conversation, String agentId) {
+        try {
+            // 获取智能体配置，从中提取记忆总结的模型ID
+            String modelId = getMemorySummaryModelId(agentId);
+
+            if (StringUtils.isBlank(modelId)) {
+                log.info("未找到记忆总结的LLM模型配置，使用默认LLM服务");
+                return llmService.generateSummary(conversation);
+            }
+
+            // 使用指定的模型ID调用LLM服务
+            String summary = llmService.generateSummaryWithModel(conversation, modelId);
+
+            if (StringUtils.isNotBlank(summary) && !summary.equals("服务暂不可用") && !summary.equals("总结生成失败")) {
+                return summary;
+            }
+
+            throw new RuntimeException("Java端LLM服务返回异常: " + summary);
+
+        } catch (Exception e) {
+            log.error("调用Java端LLM服务异常，agentId: {}, 错误: {}", agentId, e.getMessage());
+            throw e;
+        }
+    }
+
+    /**
+     * 获取记忆总结的LLM模型ID
+     */
+    private String getMemorySummaryModelId(String agentId) {
+        try {
+            if (StringUtils.isBlank(agentId)) {
+                return null;
+            }
+
+            // 获取智能体信息
+            AgentInfoVO agentInfo = agentService.getAgentById(agentId);
+            if (agentInfo == null) {
+                return null;
+            }
+
+            // 获取智能体的记忆模型ID
+            String memModelId = agentInfo.getMemModelId();
+            if (StringUtils.isBlank(memModelId)) {
+                return null;
+            }
+
+            // 获取记忆模型配置
+            ModelConfigEntity memModelConfig = modelConfigService.getModelByIdFromCache(memModelId);
+            if (memModelConfig == null || memModelConfig.getConfigJson() == null) {
+                return null;
+            }
+
+            // 从记忆模型配置中提取对应的LLM模型ID
+            Map<String, Object> configMap = memModelConfig.getConfigJson();
+            String llmModelId = (String) configMap.get("llm");
+
+            if (StringUtils.isBlank(llmModelId)) {
+                // 如果记忆模型没有配置独立的LLM，则使用智能体的默认LLM模型
+                return agentInfo.getLlmModelId();
+            }
+
+            return llmModelId;
+        } catch (Exception e) {
+            log.error("获取记忆总结LLM模型ID失败，agentId: {}, 错误: {}", agentId, e.getMessage());
+            return null;
+        }
+    }
+
+    /**
+     * 根据会话ID获取设备信息
+     */
+    private DeviceEntity getDeviceBySessionId(String sessionId) {
+        try {
+            // 查询该会话的第一条记录获取macAddress
+            QueryWrapper<AgentChatHistoryEntity> wrapper = new QueryWrapper<>();
+            wrapper.select("mac_address")
+                    .eq("session_id", sessionId)
+                    .last("LIMIT 1");
+
+            AgentChatHistoryEntity entity = agentChatHistoryService.getOne(wrapper);
+            if (entity != null && StringUtils.isNotBlank(entity.getMacAddress())) {
+                return deviceService.getDeviceByMacAddress(entity.getMacAddress());
+            }
+            return null;
+        } catch (Exception e) {
+            log.error("根据会话ID {} 查找设备信息失败: {}", sessionId, e.getMessage());
+            return null;
+        }
+    }
+}
@@ -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));
+    }
+}
@@ -147,6 +147,7 @@ public class AgentMcpAccessPointServiceImpl implements AgentMcpAccessPointServic
                                    List<String> result = toolsList.stream()
                                            .map(tool -> (String) tool.get("name"))
                                            .filter(name -> name != null)
+                                            .sorted()
                                            .collect(Collectors.toList());
                                    log.info("成功获取MCP工具列表，智能体ID: {}, 工具数量: {}", id, result.size());
                                    return result;
@@ -5,6 +5,7 @@ import java.util.Date;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
+import java.util.Optional;
 import java.util.UUID;
 import java.util.function.Function;
 import java.util.stream.Collectors;
@@ -28,18 +29,22 @@ import xiaozhi.common.service.impl.BaseServiceImpl;
 import xiaozhi.common.user.UserDetail;
 import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.JsonUtils;
+import xiaozhi.common.utils.ToolUtil;
 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.entity.DeviceEntity;
 import xiaozhi.modules.device.service.DeviceService;
 import xiaozhi.modules.model.dto.ModelProviderDTO;
 import xiaozhi.modules.model.dto.VoiceDTO;
@@ -62,6 +67,7 @@ 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) {
@@ -81,10 +87,17 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp

        if (agent.getMemModelId() != null && agent.getMemModelId().equals(Constant.MEMORY_NO_MEM)) {
            agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.IGNORE.getCode());
-            if (agent.getChatHistoryConf() == null) {
-                agent.setChatHistoryConf(Constant.ChatHistoryConfEnum.RECORD_TEXT_AUDIO.getCode());
-            }
        }
+        if (agent.getChatHistoryConf() == null) {
+            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;
    }
@@ -117,38 +130,70 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
    }

    @Override
-    public List<AgentDTO> getUserAgents(Long userId) {
-        QueryWrapper<AgentEntity> wrapper = new QueryWrapper<>();
-        wrapper.eq("user_id", userId);
-        List<AgentEntity> agents = agentDao.selectList(wrapper);
-        return agents.stream().map(agent -> {
-            AgentDTO dto = new AgentDTO();
-            dto.setId(agent.getId());
-            dto.setAgentName(agent.getAgentName());
-            dto.setSystemPrompt(agent.getSystemPrompt());
+    public List<AgentDTO> getUserAgents(Long userId, String keyword, String searchType) {
+        QueryWrapper<AgentEntity> queryWrapper = new QueryWrapper<>();
+        queryWrapper.eq("user_id", userId).orderByDesc("created_at");

-            // 获取 TTS 模型名称
-            dto.setTtsModelName(modelConfigService.getModelNameById(agent.getTtsModelId()));
+        // 如果有搜索关键词，根据搜索类型添加相应的查询条件
+        if (StringUtils.isNotBlank(keyword)) {
+            if ("mac".equals(searchType)) {
+                // 按MAC地址搜索：先搜索设备，再获取对应的智能体
+                List<DeviceEntity> devices = Optional
+                        .ofNullable(deviceService.searchDevicesByMacAddress(keyword, userId)).orElseGet(ArrayList::new);
+                // 获取设备对应的智能体ID列表
+                List<String> agentIds = devices.stream()
+                        .map(DeviceEntity::getAgentId)
+                        .distinct()
+                        .collect(Collectors.toList());
+                if (ToolUtil.isNotEmpty(agentIds)) {
+                    queryWrapper.in("id", agentIds);
+                } else {
+                    return new ArrayList<>();
+                }
+            } else {
+                // 按名称搜索
+                queryWrapper.like("agent_name", keyword);
+            }
+        }

-            // 获取 LLM 模型名称
-            dto.setLlmModelName(modelConfigService.getModelNameById(agent.getLlmModelId()));
+        // 执行查询
+        List<AgentEntity> agentEntities = baseDao.selectList(queryWrapper);

-            // 获取 VLLM 模型名称
-            dto.setVllmModelName(modelConfigService.getModelNameById(agent.getVllmModelId()));
+        // 转换为DTO并设置所有必要字段
+        return agentEntities.stream().map(this::buildAgentDTO).collect(Collectors.toList());
+    }

-            // 获取记忆模型名称
-            dto.setMemModelId(agent.getMemModelId());
+    /**
+     * 将AgentEntity转换为AgentDTO
+     */
+    private AgentDTO buildAgentDTO(AgentEntity agent) {
+        AgentDTO dto = new AgentDTO();
+        dto.setId(agent.getId());
+        dto.setAgentName(agent.getAgentName());
+        dto.setSystemPrompt(agent.getSystemPrompt());

-            // 获取 TTS 音色名称
-            dto.setTtsVoiceName(timbreModelService.getTimbreNameById(agent.getTtsVoiceId()));
+        // 获取 TTS 模型名称
+        dto.setTtsModelName(modelConfigService.getModelNameById(agent.getTtsModelId()));

-            // 获取智能体最近的最后连接时长
-            dto.setLastConnectedAt(deviceService.getLatestLastConnectionTime(agent.getId()));
+        // 获取 LLM 模型名称
+        dto.setLlmModelName(modelConfigService.getModelNameById(agent.getLlmModelId()));

-            // 获取设备数量
-            dto.setDeviceCount(getDeviceCountByAgentId(agent.getId()));
-            return dto;
-        }).collect(Collectors.toList());
+        // 获取 VLLM 模型名称
+        dto.setVllmModelName(modelConfigService.getModelNameById(agent.getVllmModelId()));
+
+        // 获取记忆模型名称
+        dto.setMemModelId(agent.getMemModelId());
+
+        // 获取 TTS 音色名称
+        dto.setTtsVoiceName(timbreModelService.getTimbreNameById(agent.getTtsVoiceId()));
+
+        // 获取智能体最近的最后连接时长
+        dto.setLastConnectedAt(deviceService.getLatestLastConnectionTime(agent.getId()));
+
+        // 获取设备数量
+        dto.setDeviceCount(getDeviceCountByAgentId(agent.getId()));
+
+        return dto;
    }

    @Override
@@ -331,6 +376,14 @@ 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);
@@ -395,7 +448,20 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
            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());
        }
@@ -437,4 +503,5 @@ public class AgentServiceImpl extends BaseServiceImpl<AgentDao, AgentEntity> imp
        agentPluginMappingService.saveBatch(toInsert);
        return entity.getId();
    }
-}
+
+}
@@ -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;
@@ -53,6 +55,7 @@ public class ConfigServiceImpl implements ConfigService {
    private final TimbreService timbreService;
    private final AgentPluginMappingService agentPluginMappingService;
    private final AgentMcpAccessPointService agentMcpAccessPointService;
+    private final AgentContextProviderService agentContextProviderService;
    private final VoiceCloneService cloneVoiceService;
    private final AgentVoicePrintDao agentVoicePrintDao;

@@ -103,6 +106,15 @@ public class ConfigServiceImpl implements ConfigService {

    @Override
    public Map<String, Object> getAgentModels(String macAddress, Map<String, String> selectedModule) {
+        // 检查是否为管理控制台请求
+        String redisKey = RedisKeys.getTmpRegisterMacKey(macAddress);
+        Object isAdminRequest = redisUtils.get(redisKey);
+        
+        if (isAdminRequest != null && "true".equals(isAdminRequest)) {
+            // 管理控制台请求，返回getConfig的结果
+            redisUtils.delete(redisKey); // 使用后清理
+            return (Map<String, Object>) getConfig(true);
+        }
        // 根据MAC地址查找设备
        DeviceEntity device = deviceService.getDeviceByMacAddress(macAddress);
        if (device == null) {
@@ -151,11 +163,11 @@ public class ConfigServiceImpl implements ConfigService {
        }
        result.put("chat_history_conf", chatHistoryConf);
        // 如果客户端已实例化模型，则不返回
-        String alreadySelectedVadModelId = (String) selectedModule.get("VAD");
+        String alreadySelectedVadModelId = selectedModule.get("VAD");
        if (alreadySelectedVadModelId != null && alreadySelectedVadModelId.equals(agent.getVadModelId())) {
            agent.setVadModelId(null);
        }
-        String alreadySelectedAsrModelId = (String) selectedModule.get("ASR");
+        String alreadySelectedAsrModelId = selectedModule.get("ASR");
        if (alreadySelectedAsrModelId != null && alreadySelectedAsrModelId.equals(agent.getAsrModelId())) {
            agent.setAsrModelId(null);
        }
@@ -178,6 +190,13 @@ 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);

@@ -283,7 +302,7 @@ public class ConfigServiceImpl implements ConfigService {
    private void buildVoiceprintConfig(String agentId, Map<String, Object> result) {
        try {
            // 获取声纹接口地址
-            String voiceprintUrl = sysParamsService.getValue("server.voice_print", true);
+            String voiceprintUrl = sysParamsService.getValue(Constant.SERVER_VOICE_PRINT, true);
            if (StringUtils.isBlank(voiceprintUrl) || "null".equals(voiceprintUrl)) {
                return;
            }
@@ -1,14 +1,11 @@
 package xiaozhi.modules.device.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.beans.BeanUtils;
-import org.springframework.http.HttpEntity;
-import org.springframework.http.HttpHeaders;
-import org.springframework.http.HttpMethod;
-import org.springframework.http.ResponseEntity;
 import org.springframework.web.bind.annotation.GetMapping;
 import org.springframework.web.bind.annotation.PathVariable;
 import org.springframework.web.bind.annotation.PostMapping;
@@ -16,9 +13,6 @@ 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.RestController;
-import org.springframework.web.client.RestTemplate;
-
-import com.fasterxml.jackson.databind.ObjectMapper;

 import io.swagger.v3.oas.annotations.Operation;
 import io.swagger.v3.oas.annotations.tags.Tag;
@@ -30,6 +24,7 @@ import xiaozhi.common.user.UserDetail;
 import xiaozhi.common.utils.Result;
 import xiaozhi.modules.device.dto.DeviceManualAddDTO;
 import xiaozhi.modules.device.dto.DeviceRegisterDTO;
+import xiaozhi.modules.device.dto.DeviceToolsCallReqDTO;
 import xiaozhi.modules.device.dto.DeviceUnBindDTO;
 import xiaozhi.modules.device.dto.DeviceUpdateDTO;
 import xiaozhi.modules.device.entity.DeviceEntity;
@@ -44,16 +39,11 @@ public class DeviceController {
    private final DeviceService deviceService;
    private final RedisUtils redisUtils;
    private final SysParamsService sysParamsService;
-    private final RestTemplate restTemplate;
-    private final ObjectMapper objectMapper;

-    public DeviceController(DeviceService deviceService, RedisUtils redisUtils, SysParamsService sysParamsService,
-            RestTemplate restTemplate, ObjectMapper objectMapper) {
+    public DeviceController(DeviceService deviceService, RedisUtils redisUtils, SysParamsService sysParamsService) {
        this.deviceService = deviceService;
        this.redisUtils = redisUtils;
        this.sysParamsService = sysParamsService;
-        this.restTemplate = restTemplate;
-        this.objectMapper = objectMapper;
    }

    @PostMapping("/bind/{agentId}/{deviceCode}")
@@ -72,10 +62,12 @@ public class DeviceController {
            return new Result<String>().error(ErrorCode.MCA_NOT_NULL);
        }
        // 生成六位验证码
-        String code = String.valueOf(Math.random()).substring(2, 8);
-        String key = RedisKeys.getDeviceCaptchaKey(code);
+        String code;
+        String key;
        String existsMac = null;
        do {
+            code = String.valueOf(Math.random()).substring(2, 8);
+            key = RedisKeys.getDeviceCaptchaKey(code);
            existsMac = (String) redisUtils.get(key);
        } while (StringUtils.isNotBlank(existsMac));

@@ -97,83 +89,12 @@ public class DeviceController {
    @RequiresPermissions("sys:role:normal")
    public Result<String> forwardToMqttGateway(@PathVariable String agentId, @RequestBody String requestBody) {
        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<>();
-            }
-
-            // 获取当前用户的设备列表
-            UserDetail user = SecurityUser.getUser();
-            List<DeviceEntity> devices = deviceService.getUserDevices(user.getId(), agentId);
-
-            // 构建deviceIds数组
-            java.util.List<String> deviceIds = new java.util.ArrayList<>();
-            for (DeviceEntity device : devices) {
-                String macAddress = device.getMacAddress() != null ? device.getMacAddress() : "unknown";
-                String groupId = device.getBoard() != null ? device.getBoard() : "GID_default";
-
-                // 替换冒号为下划线
-                groupId = groupId.replace(":", "_");
-                macAddress = macAddress.replace(":", "_");
-
-                // 构建mqtt客户端ID格式：groupId@@@macAddress@@@macAddress
-                String mqttClientId = groupId + "@@@" + macAddress + "@@@" + macAddress;
-                deviceIds.add(mqttClientId);
-            }
-
-            // 构建完整的URL
-            String url = "http://" + mqttGatewayUrl + "/api/devices/status";
-
-            // 设置请求头
-            HttpHeaders headers = new HttpHeaders();
-            headers.set("Content-Type", "application/json");
-
-            // 生成Bearer令牌
-            String token = generateBearerToken();
-            if (token == null) {
-                return new Result<String>().error("令牌生成失败");
-            }
-            headers.set("Authorization", "Bearer " + token);
-
-            // 构建请求体JSON
-            String jsonBody = "{\"clientIds\":" + objectMapper.writeValueAsString(deviceIds) + "}";
-            HttpEntity<String> requestEntity = new HttpEntity<>(jsonBody, 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());
+            return new Result<String>().ok(deviceService.getDeviceOnlineData(agentId));
        } catch (Exception e) {
            return new Result<String>().error("转发请求失败: " + e.getMessage());
        }
    }

-    private String generateBearerToken() {
-        try {
-            // 获取当前日期，格式为yyyy-MM-dd
-            String dateStr = java.time.LocalDate.now()
-                    .format(java.time.format.DateTimeFormatter.ofPattern("yyyy-MM-dd"));
-
-            // 获取MQTT签名密钥
-            String signatureKey = sysParamsService.getValue("server.mqtt_signature_key", false);
-            if (StringUtils.isBlank(signatureKey)) {
-                return null;
-            }
-
-            // 将日期字符串与MQTT_SIGNATURE_KEY连接
-            String tokenContent = dateStr + signatureKey;
-
-            // 对连接后的字符串进行SHA256哈希计算
-            String token = org.apache.commons.codec.digest.DigestUtils.sha256Hex(tokenContent);
-
-            return token;
-        } catch (Exception e) {
-            return null;
-        }
-    }
-
    @PostMapping("/unbind")
    @Operation(summary = "解绑设备")
    @RequiresPermissions("sys:role:normal")
@@ -208,4 +129,34 @@ public class DeviceController {
        deviceService.manualAddDevice(user.getId(), dto);
        return new Result<>();
    }
+
+    @PostMapping("/tools/list/{deviceId}")
+    @Operation(summary = "获取设备工具列表")
+    @RequiresPermissions("sys:role:normal")
+    public Result<Object> getDeviceTools(@PathVariable String deviceId) {
+        Object toolsData = deviceService.getDeviceTools(deviceId);
+        if (toolsData == null) {
+            return new Result<Object>().error(ErrorCode.DEVICE_NOT_EXIST);
+        }
+
+        return new Result<Object>().ok(toolsData);
+    }
+
+    @PostMapping("/tools/call/{deviceId}")
+    @Operation(summary = "调用设备工具")
+    @RequiresPermissions("sys:role:normal")
+    public Result<Object> callDeviceTool(@PathVariable String deviceId,
+            @Valid @RequestBody DeviceToolsCallReqDTO request) {
+        String toolName = request.getName();
+        Map<String, Object> arguments = request.getArguments();
+
+        Object result = deviceService.callDeviceTool(deviceId, toolName, arguments);
+        if (result == null) {
+            return new Result<Object>().error(ErrorCode.DEVICE_NOT_EXIST);
+        }
+
+        Result<Object> response = new Result<Object>();
+        response.setMsg("Tools called successfully");
+        return response.ok(result);
+    }
 }
@@ -7,7 +7,9 @@ import java.nio.file.Path;
 import java.nio.file.Paths;
 import java.security.MessageDigest;
 import java.security.NoSuchAlgorithmException;
+import java.util.List;
 import java.util.Map;
+import java.util.Optional;
 import java.util.UUID;

 import org.apache.commons.lang3.StringUtils;
@@ -36,6 +38,7 @@ 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.redis.RedisKeys;
 import xiaozhi.common.redis.RedisUtils;
@@ -43,8 +46,11 @@ import xiaozhi.common.utils.Result;
 import xiaozhi.common.validator.ValidatorUtils;
 import xiaozhi.modules.device.entity.OtaEntity;
 import xiaozhi.modules.device.service.OtaService;
+import xiaozhi.modules.security.user.SecurityUser;
+import xiaozhi.modules.sys.enums.SuperAdminEnum;
+import xiaozhi.modules.sys.service.SysParamsService;

-@Tag(name = "设备管理", description = "OTA 相关接口")
+@Tag(name = "固件升级管理", description = "OTA 相关接口")
@Slf4j
@RestController
@RequiredArgsConstructor
@@ -53,6 +59,7 @@ public class OTAMagController {
    private static final Logger logger = LoggerFactory.getLogger(OTAController.class);
    private final OtaService otaService;
    private final RedisUtils redisUtils;
+    private final SysParamsService sysParamsService;

    @GetMapping
    @Operation(summary = "分页查询 OTA 固件信息")
@@ -145,15 +152,11 @@ public class OTAMagController {

        // 检查下载次数
        String downloadCountKey = RedisKeys.getOtaDownloadCountKey(uuid);
-        Integer downloadCount = (Integer) redisUtils.get(downloadCountKey);
-        if (downloadCount == null) {
-            downloadCount = 0;
-        }
+        Integer downloadCount = (Integer) Optional.ofNullable(redisUtils.get(downloadCountKey)).orElse(0);

        // 如果下载次数超过3次，返回404
        if (downloadCount >= 3) {
-            redisUtils.delete(downloadCountKey);
-            redisUtils.delete(RedisKeys.getOtaIdKey(uuid));
+            redisUtils.delete(List.of(downloadCountKey, RedisKeys.getOtaIdKey(uuid)));
            logger.warn("Download limit exceeded for UUID: {}", uuid);
            return ResponseEntity.notFound().build();
        }
@@ -162,7 +165,17 @@ public class OTAMagController {

        try {
            // 获取固件信息
-            OtaEntity otaEntity = otaService.selectById(id);
+            OtaEntity otaEntity = null;
+            if (id.indexOf("file:") == 0) {
+                id = id.substring(5);
+                otaEntity = new OtaEntity();
+                otaEntity.setFirmwarePath(id);
+                otaEntity.setType("assets");
+                otaEntity.setVersion("1.0.0");
+            } else {
+                otaEntity = otaService.selectById(id);
+            }
+
            if (otaEntity == null || StringUtils.isBlank(otaEntity.getFirmwarePath())) {
                logger.warn("Firmware not found or path is empty for ID: {}", id);
                return ResponseEntity.notFound().build();
@@ -170,6 +183,7 @@ public class OTAMagController {

            // 获取文件路径 - 确保路径是绝对路径或正确的相对路径
            String firmwarePath = otaEntity.getFirmwarePath();
+            String originalFilename = otaEntity.getType() + "_" + otaEntity.getVersion();
            Path path;

            // 检查是否是绝对路径
@@ -203,7 +217,7 @@ public class OTAMagController {
            byte[] fileContent = Files.readAllBytes(path);

            // 设置响应头
-            String originalFilename = otaEntity.getType() + "_" + otaEntity.getVersion();
+
            if (firmwarePath.contains(".")) {
                String extension = firmwarePath.substring(firmwarePath.lastIndexOf("."));
                originalFilename += extension;
@@ -279,6 +293,42 @@ public class OTAMagController {
        }
    }

+    @PostMapping("/uploadAssetsBin")
+    @Operation(summary = "上传资源固件文件")
+    @RequiresPermissions("sys:role:normal")
+    public Result<String> uploadAssetsBin(@RequestParam("file") MultipartFile file) {
+        String otaUrl = sysParamsService.getValue(Constant.SERVER_OTA, true);
+        if (StringUtils.isBlank(otaUrl) || otaUrl.equals("null")) {
+            return new Result<String>().error(ErrorCode.OTA_URL_EMPTY);
+        }
+        logger.info("username:{},uploadAssetsBin size: {}", SecurityUser.getUser().getUsername(), file.getSize());
+        // 验证文件大小 (资源固件最大20MB)
+        if (file.getSize() > 20 * 1024 * 1024) {
+            return new Result<String>().error(ErrorCode.VOICE_CLONE_AUDIO_TOO_LARGE);
+        }
+        // 普通用户只能每天上传50次
+        if (SecurityUser.getUser().getSuperAdmin() == SuperAdminEnum.NO.value()) {
+            String uploadCountKey = RedisKeys.getOtaUploadCountKey(SecurityUser.getUser().getId());
+            Integer uploadCount = (Integer) Optional.ofNullable(redisUtils.get(uploadCountKey)).orElse(0);
+            if (uploadCount >= 50) {
+                return new Result<String>().error(ErrorCode.OTA_UPLOAD_COUNT_EXCEED);
+            }
+            // 增加上传次数
+            redisUtils.increment(RedisKeys.getOtaUploadCountKey(SecurityUser.getUser().getId()),
+                    RedisUtils.DEFAULT_EXPIRE);
+        }
+        Result<String> result = uploadFirmware(file);
+
+        // 生成资源文件路径
+        if (StringUtils.isNotBlank(result.getData())) {
+            String uuid = UUID.randomUUID().toString();
+            redisUtils.set(RedisKeys.getOtaIdKey(uuid), "file:" + result.getData());
+            String downloadUrl = otaUrl.replace("/ota/", "/otaMag/download/") + uuid;
+            result.setData(downloadUrl);
+        }
+        return result;
+    }
+
    private String calculateMD5(MultipartFile file) throws IOException, NoSuchAlgorithmException {
        MessageDigest md = MessageDigest.getInstance("MD5");
        byte[] digest = md.digest(file.getBytes());
@@ -0,0 +1,15 @@
+package xiaozhi.modules.device.dto;
+
+import java.util.Map;
+
+import jakarta.validation.constraints.NotBlank;
+import lombok.Data;
+
+@Data
+public class DeviceToolsCallReqDTO {
+
+    @NotBlank(message = "工具名称不能为空")
+    private String name;
+
+    private Map<String, Object> arguments;
+}
@@ -2,17 +2,22 @@ package xiaozhi.modules.device.service;

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

 import xiaozhi.common.page.PageData;
 import xiaozhi.common.service.BaseService;
+import xiaozhi.modules.device.dto.DeviceManualAddDTO;
 import xiaozhi.modules.device.dto.DevicePageUserDTO;
 import xiaozhi.modules.device.dto.DeviceReportReqDTO;
 import xiaozhi.modules.device.dto.DeviceReportRespDTO;
-import xiaozhi.modules.device.dto.DeviceManualAddDTO;
 import xiaozhi.modules.device.entity.DeviceEntity;
 import xiaozhi.modules.device.vo.UserShowDeviceListVO;

 public interface DeviceService extends BaseService<DeviceEntity> {
+    /**
+     * 获取设备在线数据
+     */
+    String getDeviceOnlineData(String agentId);

    /**
     * 检查设备是否激活
@@ -83,6 +88,7 @@ public interface DeviceService extends BaseService<DeviceEntity> {

    /**
     * 获取这个智能体设备理的最近的最后连接时间
+     * 
     * @param agentId 智能体id
     * @return 返回设备最近的最后连接时间
     */
@@ -98,4 +104,33 @@ public interface DeviceService extends BaseService<DeviceEntity> {
     */
    void updateDeviceConnectionInfo(String agentId, String deviceId, String appVersion);

+    /**
+     * 生成WebSocket认证token
+     *
+     * @param clientId 客户端ID
+     * @param username 用户名(通常为deviceId)
+     * @return 认证token字符串
+     * @throws Exception 生成token时的异常
+     */
+    String generateWebSocketToken(String clientId, String username) throws Exception;
+
+    /**
+     * 根据MAC地址搜索设备
+     *
+     * @param macAddress MAC地址关键词
+     * @param userId     用户ID
+     * @return 设备列表
+     */
+    List<DeviceEntity> searchDevicesByMacAddress(String macAddress, Long userId);
+
+    /**
+     * 获取设备工具列表
+     */
+    Object getDeviceTools(String deviceId);
+
+    /**
+     * 调用设备工具
+     */
+    Object callDeviceTool(String deviceId, String toolName, Map<String, Object> arguments);
+
 }
@@ -1,14 +1,19 @@
 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;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
+import java.util.Optional;
+import java.util.Set;
 import java.util.TimeZone;
 import java.util.UUID;
+import java.util.stream.Collectors;

 import javax.crypto.Mac;
 import javax.crypto.spec.SecretKeySpec;
@@ -24,7 +29,16 @@ import com.baomidou.mybatisplus.core.conditions.query.QueryWrapper;
 import com.baomidou.mybatisplus.core.conditions.update.UpdateWrapper;
 import com.baomidou.mybatisplus.core.metadata.IPage;

+import cn.hutool.core.date.DatePattern;
+import cn.hutool.core.date.DateUtil;
+import cn.hutool.core.map.MapUtil;
 import cn.hutool.core.util.RandomUtil;
+import cn.hutool.core.util.StrUtil;
+import cn.hutool.crypto.digest.DigestUtil;
+import cn.hutool.http.ContentType;
+import cn.hutool.http.Header;
+import cn.hutool.http.HttpRequest;
+import cn.hutool.json.JSONUtil;
 import jakarta.servlet.http.HttpServletRequest;
 import lombok.AllArgsConstructor;
 import lombok.extern.slf4j.Slf4j;
@@ -38,6 +52,7 @@ import xiaozhi.common.service.impl.BaseServiceImpl;
 import xiaozhi.common.user.UserDetail;
 import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.DateUtils;
+import xiaozhi.common.utils.ToolUtil;
 import xiaozhi.modules.device.dao.DeviceDao;
 import xiaozhi.modules.device.dto.DeviceManualAddDTO;
 import xiaozhi.modules.device.dto.DevicePageUserDTO;
@@ -86,16 +101,16 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
        if (StringUtils.isBlank(activationCode)) {
            throw new RenException(ErrorCode.ACTIVATION_CODE_EMPTY);
        }
-        String deviceKey = "ota:activation:code:" + activationCode;
+        String deviceKey = RedisKeys.getOtaActivationCode(activationCode);
        Object cacheDeviceId = redisUtils.get(deviceKey);
-        if (cacheDeviceId == null) {
+        if (ToolUtil.isEmpty(cacheDeviceId)) {
            throw new RenException(ErrorCode.ACTIVATION_CODE_ERROR);
        }
        String deviceId = (String) cacheDeviceId;
        String safeDeviceId = deviceId.replace(":", "_").toLowerCase();
-        String cacheDeviceKey = String.format("ota:activation:data:%s", safeDeviceId);
+        String cacheDeviceKey = RedisKeys.getOtaDeviceActivationInfo(safeDeviceId);
        Map<String, Object> cacheMap = (Map<String, Object>) redisUtils.get(cacheDeviceKey);
-        if (cacheMap == null) {
+        if (ToolUtil.isEmpty(cacheMap)) {
            throw new RenException(ErrorCode.ACTIVATION_CODE_ERROR);
        }
        String cachedCode = (String) cacheMap.get("activation_code");
@@ -131,19 +146,56 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
        deviceEntity.setLastConnectedAt(currentTime);
        deviceDao.insert(deviceEntity);

-        // 清理redis缓存
-        redisUtils.delete(cacheDeviceKey);
-        redisUtils.delete(deviceKey);
-
-        // 添加：清除智能体设备数量缓存
-        redisUtils.delete(RedisKeys.getAgentDeviceCountById(agentId));
-
+        // 清理redis缓存、清除智能体设备数量缓存
+        redisUtils.delete(List.of(cacheDeviceKey, deviceKey, RedisKeys.getAgentDeviceCountById(agentId)));
        return true;
    }

+    /**
+     * 获取设备在线数据
+     */
    @Override
-    public DeviceReportRespDTO checkDeviceActive(String macAddress, String clientId,
-            DeviceReportReqDTO deviceReport) {
+    public String getDeviceOnlineData(String agentId) {
+        // 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 "";
+        }
+        // 构建完整的URL
+        String url = StrUtil.format("http://{}/api/devices/status", mqttGatewayUrl);
+
+        // 获取当前用户的设备列表
+        UserDetail user = SecurityUser.getUser();
+        List<DeviceEntity> devices = getUserDevices(user.getId(), agentId);
+
+        // 构建deviceIds数组
+        Set<String> deviceIds = devices.stream().map(o -> {
+            String macAddress = Optional.ofNullable(o.getMacAddress()).orElse("unknown").replace(":", "_");
+            String groupId = Optional.ofNullable(o.getBoard()).orElse("GID_default").replace(":", "_");
+            return StrUtil.format("{}@@@{}@@@{}", groupId, macAddress, macAddress);
+        }).collect(Collectors.toSet());
+
+        // 构建请求入参
+        Map<String, Set<String>> params = MapUtil
+                .builder(new HashMap<String, Set<String>>())
+                .put("clientIds", deviceIds).build();
+
+        if (ToolUtil.isNotEmpty(deviceIds)) {
+            // 发送请求
+            String resultMessage = HttpRequest.post(url)
+                    .header(Header.CONTENT_TYPE, ContentType.JSON.getValue())
+                    .header(Header.AUTHORIZATION, "Bearer " + generateBearerToken())
+                    .body(JSONUtil.toJsonStr(params))
+                    .timeout(10000) // 超时，毫秒
+                    .execute().body();
+            return resultMessage;
+        }
+        // 返回响应
+        return "";
+    }
+
+    @Override
+    public DeviceReportRespDTO checkDeviceActive(String macAddress, String clientId, DeviceReportReqDTO deviceReport) {
        DeviceReportRespDTO response = new DeviceReportRespDTO();
        response.setServer_time(buildServerTime());

@@ -169,7 +221,22 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
        DeviceReportRespDTO.Websocket websocket = new DeviceReportRespDTO.Websocket();
        // 从系统参数获取WebSocket URL，如果未配置则使用默认值
        String wsUrl = sysParamsService.getValue(Constant.SERVER_WEBSOCKET, true);
-        websocket.setToken("");
+
+        // 检查是否启用认证并生成token
+        String authEnabled = sysParamsService.getValue(Constant.SERVER_AUTH_ENABLED, true);
+        if ("true".equalsIgnoreCase(authEnabled)) {
+            try {
+                // 生成token
+                String token = generateWebSocketToken(clientId, macAddress);
+                websocket.setToken(token);
+            } catch (Exception e) {
+                log.error("生成WebSocket token失败: {}", e.getMessage());
+                websocket.setToken("");
+            }
+        } else {
+            websocket.setToken("");
+        }
+
        if (StringUtils.isBlank(wsUrl) || wsUrl.equals("null")) {
            log.error("WebSocket地址未配置，请登录智控台，在参数管理找到【server.websocket】配置");
            wsUrl = "ws://xiaozhi.server.com:8000/xiaozhi/v1/";
@@ -189,7 +256,7 @@ 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()
@@ -339,8 +406,7 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>

    private String getDeviceCacheKey(String deviceId) {
        String safeDeviceId = deviceId.replace(":", "_").toLowerCase();
-        String dataKey = String.format("ota:activation:data:%s", safeDeviceId);
-        return dataKey;
+        return RedisKeys.getOtaDeviceActivationInfo(safeDeviceId);
    }

    public DeviceReportRespDTO.Activation buildActivation(String deviceId, DeviceReportReqDTO deviceReport) {
@@ -379,7 +445,7 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
            redisUtils.set(dataKey, dataMap);

            // 写入反查激活码 key
-            String codeKey = "ota:activation:code:" + newCode;
+            String codeKey = RedisKeys.getOtaActivationCode(newCode);
            redisUtils.set(codeKey, deviceId);
        }
        return code;
@@ -479,6 +545,14 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>
        redisUtils.delete(RedisKeys.getAgentDeviceCountById(dto.getAgentId()));
    }

+    @Override
+    public List<DeviceEntity> searchDevicesByMacAddress(String macAddress, Long userId) {
+        QueryWrapper<DeviceEntity> wrapper = new QueryWrapper<>();
+        wrapper.like("mac_address", macAddress);
+        wrapper.eq("user_id", userId);
+        return deviceDao.selectList(wrapper);
+    }
+
    /**
     * 生成MQTT密码签名
     * 
@@ -494,6 +568,40 @@ 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
+     */
+    public String generateWebSocketToken(String clientId, String username)
+            throws NoSuchAlgorithmException, InvalidKeyException {
+        // 从系统参数获取密钥
+        String secretKey = sysParamsService.getValue(Constant.SERVER_SECRET, false);
+        if (StringUtils.isBlank(secretKey)) {
+            throw new IllegalStateException("WebSocket认证密钥未配置(server.secret)");
+        }
+
+        // 获取当前时间戳(秒)
+        long timestamp = System.currentTimeMillis() / 1000;
+
+        // 构建签名内容: clientId|username|timestamp
+        String content = String.format("%s|%s|%d", clientId, username, timestamp);
+
+        // 生成HMAC-SHA256签名
+        Mac hmac = Mac.getInstance("HmacSHA256");
+        SecretKeySpec keySpec = new SecretKeySpec(secretKey.getBytes(StandardCharsets.UTF_8), "HmacSHA256");
+        hmac.init(keySpec);
+        byte[] signature = hmac.doFinal(content.getBytes(StandardCharsets.UTF_8));
+
+        // Base64 URL-safe编码签名(去除填充符=)
+        String signatureBase64 = Base64.getUrlEncoder().withoutPadding().encodeToString(signature);
+
+        // 返回格式: signature.timestamp
+        return String.format("%s.%d", signatureBase64, timestamp);
+    }
+
    /**
     * 构建MQTT配置信息
     * 
@@ -504,7 +612,7 @@ 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;
@@ -547,4 +655,176 @@ public class DeviceServiceImpl extends BaseServiceImpl<DeviceDao, DeviceEntity>

        return mqtt;
    }
+
+    /**
+     * 生成BearerToken
+     */
+    private String generateBearerToken() {
+        try {
+            String dateStr = DateUtil.format(new Date(), DatePattern.NORM_DATE_PATTERN);
+            String signatureKey = sysParamsService.getValue(Constant.SERVER_MQTT_SECRET, false);
+            if (ToolUtil.isEmpty(signatureKey)) {
+                return null;
+            }
+            return DigestUtil.sha256Hex(dateStr + signatureKey);
+        } catch (Exception e) {
+            return null;
+        }
+    }
+
+    @Override
+    public Object getDeviceTools(String deviceId) {
+        // 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 null;
+        }
+
+        // 获取设备信息
+        DeviceEntity device = baseDao.selectById(deviceId);
+        if (device == null) {
+            return null;
+        }
+
+        // 检查设备是否属于当前用户
+        UserDetail user = SecurityUser.getUser();
+        if (!device.getUserId().equals(user.getId())) {
+            return null;
+        }
+
+        // 构建clientId
+        String macAddress = Optional.ofNullable(device.getMacAddress()).orElse("unknown").replace(":", "_");
+        String groupId = Optional.ofNullable(device.getBoard()).orElse("GID_default").replace(":", "_");
+        String clientId = StrUtil.format("{}@@@{}@@@{}", groupId, macAddress, macAddress);
+
+        // 构建完整的URL
+        String url = StrUtil.format("http://{}/api/commands/{}", mqttGatewayUrl, clientId);
+
+        // 构建请求体
+        Map<String, Object> payload = MapUtil
+                .builder(new HashMap<String, Object>())
+                .put("jsonrpc", "2.0")
+                .put("id", 2)
+                .put("method", "tools/list")
+                .put("params", MapUtil.builder(new HashMap<String, Object>())
+                        .put("withUserTools", true)
+                        .build())
+                .build();
+
+        Map<String, Object> requestBody = MapUtil
+                .builder(new HashMap<String, Object>())
+                .put("type", "mcp")
+                .put("payload", payload)
+                .build();
+
+        // 发送请求
+        String resultMessage = HttpRequest.post(url)
+                .header(Header.CONTENT_TYPE, ContentType.JSON.getValue())
+                .header(Header.AUTHORIZATION, "Bearer " + generateBearerToken())
+                .body(JSONUtil.toJsonStr(requestBody))
+                .timeout(10000) // 超时，毫秒
+                .execute().body();
+
+        // 解析响应
+        if (StringUtils.isNotBlank(resultMessage)) {
+            cn.hutool.json.JSONObject jsonObject = JSONUtil.parseObj(resultMessage);
+            if (jsonObject.getBool("success", false)) {
+                return jsonObject.get("data");
+            }
+        }
+
+        return null;
+    }
+
+    @Override
+    public Object callDeviceTool(String deviceId, String toolName, Map<String, Object> arguments) {
+        // 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 null;
+        }
+
+        // 获取设备信息
+        DeviceEntity device = baseDao.selectById(deviceId);
+        if (device == null) {
+            return null;
+        }
+
+        // 检查设备是否属于当前用户
+        UserDetail user = SecurityUser.getUser();
+        if (!device.getUserId().equals(user.getId())) {
+            return null;
+        }
+
+        // 构建clientId
+        String macAddress = Optional.ofNullable(device.getMacAddress()).orElse("unknown").replace(":", "_");
+        String groupId = Optional.ofNullable(device.getBoard()).orElse("GID_default").replace(":", "_");
+        String clientId = StrUtil.format("{}@@@{}@@@{}", groupId, macAddress, macAddress);
+
+        // 构建完整的URL
+        String url = StrUtil.format("http://{}/api/commands/{}", mqttGatewayUrl, clientId);
+
+        // 构建请求体
+        Map<String, Object> params = MapUtil
+                .builder(new HashMap<String, Object>())
+                .put("name", toolName)
+                .put("arguments", arguments)
+                .build();
+
+        Map<String, Object> payload = MapUtil
+                .builder(new HashMap<String, Object>())
+                .put("jsonrpc", "2.0")
+                .put("id", 2)
+                .put("method", "tools/call")
+                .put("params", params)
+                .build();
+
+        Map<String, Object> requestBody = MapUtil
+                .builder(new HashMap<String, Object>())
+                .put("type", "mcp")
+                .put("payload", payload)
+                .build();
+
+        // 发送请求
+        String resultMessage = HttpRequest.post(url)
+                .header(Header.CONTENT_TYPE, ContentType.JSON.getValue())
+                .header(Header.AUTHORIZATION, "Bearer " + generateBearerToken())
+                .body(JSONUtil.toJsonStr(requestBody))
+                .timeout(10000) // 超时，毫秒
+                .execute().body();
+
+        // 解析响应
+        if (StringUtils.isNotBlank(resultMessage)) {
+            cn.hutool.json.JSONObject jsonObject = JSONUtil.parseObj(resultMessage);
+            if (jsonObject.getBool("success", false)) {
+                cn.hutool.json.JSONObject data = jsonObject.getJSONObject("data");
+                if (data != null) {
+                    cn.hutool.json.JSONArray content = data.getJSONArray("content");
+                    if (content != null && content.size() > 0) {
+                        cn.hutool.json.JSONObject firstContent = content.getJSONObject(0);
+                        if (firstContent != null && "text".equals(firstContent.getStr("type"))) {
+                            String text = firstContent.getStr("text");
+                            if (StringUtils.isNotBlank(text)) {
+                                String trimmedText = text.trim();
+                                if (trimmedText.startsWith("{") || trimmedText.startsWith("[")) {
+                                    try {
+                                        return JSONUtil.parseObj(trimmedText);
+                                    } catch (Exception e) {
+                                        return trimmedText;
+                                    }
+                                } else if ("true".equals(trimmedText)) {
+                                    return true;
+                                } else if ("false".equals(trimmedText)) {
+                                    return false;
+                                } else {
+                                    return trimmedText;
+                                }
+                            }
+                        }
+                    }
+                }
+            }
+        }
+        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();
+    }
+}
@@ -1,7 +1,6 @@
 package xiaozhi.modules.knowledge.controller;

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

 import org.apache.commons.lang3.StringUtils;
 import org.apache.shiro.authz.annotation.RequiresPermissions;
@@ -24,8 +23,10 @@ import xiaozhi.common.exception.ErrorCode;
 import xiaozhi.common.exception.RenException;
 import xiaozhi.common.page.PageData;
 import xiaozhi.common.utils.Result;
+import xiaozhi.common.utils.ToolUtil;
 import xiaozhi.modules.knowledge.dto.KnowledgeBaseDTO;
 import xiaozhi.modules.knowledge.service.KnowledgeBaseService;
+import xiaozhi.modules.model.entity.ModelConfigEntity;
 import xiaozhi.modules.security.user.SecurityUser;

@AllArgsConstructor
@@ -131,20 +132,17 @@ public class KnowledgeBaseController {

        // 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());
-
+        List<String> idList = Arrays.asList(ids.split(","));
+        List<KnowledgeBaseDTO> knowledgeBaseDTOs = Optional.ofNullable(knowledgeBaseService.getByDatasetIdList(idList)).orElseGet(ArrayList::new);
+        if (ToolUtil.isNotEmpty(knowledgeBaseDTOs)) {
+            knowledgeBaseDTOs.forEach(item->{
                // 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)) {
+                if (item.getCreator() == null || !item.getCreator().equals(currentUserId)) {
                    throw new RenException(ErrorCode.NO_PERMISSION);
                }
-
-                knowledgeBaseService.deleteByDatasetId(datasetId.trim());
-            }
+                //删除
+                knowledgeBaseService.deleteByDatasetId(item.getDatasetId());
+            });
        }
        return new Result<>();
    }
@@ -152,8 +150,8 @@ public class KnowledgeBaseController {
    @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);
+    public Result<List<ModelConfigEntity>> getRAGModels() {
+        List<ModelConfigEntity> result = knowledgeBaseService.getRAGModels();
+        return new Result<List<ModelConfigEntity>>().ok(result);
    }
 }
@@ -63,16 +63,11 @@ public class KnowledgeFilesController {
        // 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
+        //组装参数
        KnowledgeFilesDTO knowledgeFilesDTO = new KnowledgeFilesDTO();
        knowledgeFilesDTO.setDatasetId(datasetId);
        knowledgeFilesDTO.setName(name);
+        knowledgeFilesDTO.setStatus(status);
        PageData<KnowledgeFilesDTO> pageData = knowledgeFilesService.getPageList(knowledgeFilesDTO, page, page_size);
        return new Result<PageData<KnowledgeFilesDTO>>().ok(pageData);
    }
@@ -87,8 +82,11 @@ public class KnowledgeFilesController {
            @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);
+        //组装参数
+        KnowledgeFilesDTO knowledgeFilesDTO = new KnowledgeFilesDTO();
+        knowledgeFilesDTO.setDatasetId(datasetId);
+        knowledgeFilesDTO.setStatus(status);
+        PageData<KnowledgeFilesDTO> pageData = knowledgeFilesService.getPageList(knowledgeFilesDTO, page, page_size);
        return new Result<PageData<KnowledgeFilesDTO>>().ok(pageData);
    }

@@ -159,8 +157,7 @@ public class KnowledgeFilesController {
        // 验证知识库权限
        validateKnowledgeBasePermission(datasetId);

-        Map<String, Object> result = knowledgeFilesService.listChunks(datasetId, documentId, keywords, page, page_size,
-                id);
+        Map<String, Object> result = knowledgeFilesService.listChunks(datasetId, documentId, keywords, page, page_size, id);
        return new Result<Map<String, Object>>().ok(result);
    }

@@ -77,7 +77,7 @@ public class KnowledgeFilesDTO implements Serializable {
            return STATUS_UNSTART;
        }

-        // 根据run字段的值直接映射到对应的状态码
+        // 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;
@@ -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();
+    }
+}
@@ -7,6 +7,7 @@ import xiaozhi.common.page.PageData;
 import xiaozhi.common.service.BaseService;
 import xiaozhi.modules.knowledge.dto.KnowledgeBaseDTO;
 import xiaozhi.modules.knowledge.entity.KnowledgeBaseEntity;
+import xiaozhi.modules.model.entity.ModelConfigEntity;

 /**
 * 知识库知识库服务接口
@@ -55,6 +56,14 @@ public interface KnowledgeBaseService extends BaseService<KnowledgeBaseEntity> {
     */
    KnowledgeBaseDTO getByDatasetId(String datasetId);

+    /**
+     * 根据知识库ID集合查询知识库
+     *
+     * @param datasetIdList 知识库ID集合
+     * @return 知识库详情
+     */
+    List<KnowledgeBaseDTO> getByDatasetIdList(List<String> datasetIdList);
+
    /**
     * 根据知识库ID删除知识库
     * 
@@ -83,5 +92,5 @@ public interface KnowledgeBaseService extends BaseService<KnowledgeBaseEntity> {
     * 
     * @return RAG模型列表
     */
-    List<Map<String, Object>> getRAGModels();
+    List<ModelConfigEntity> getRAGModels();
 }
@@ -47,17 +47,6 @@ public interface KnowledgeFilesService {
                        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
         * 
@@ -1,21 +1,12 @@
 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;
@@ -32,9 +23,12 @@ import xiaozhi.common.redis.RedisUtils;
 import xiaozhi.common.service.impl.BaseServiceImpl;
 import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.MessageUtils;
+import xiaozhi.common.utils.ToolUtil;
 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;
@@ -51,8 +45,6 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<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) {
@@ -106,7 +98,7 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
        if (pageData != null && pageData.getList() != null) {
            for (KnowledgeBaseDTO knowledgeBase : pageData.getList()) {
                try {
-                    Integer documentCount = getDocumentCountFromRAGFlow(knowledgeBase.getDatasetId(),
+                    Integer documentCount = getDocumentCountFromRAG(knowledgeBase.getDatasetId(),
                            knowledgeBase.getRagModelId());
                    knowledgeBase.setDocumentCount(documentCount);
                } catch (Exception e) {
@@ -146,10 +138,10 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
        checkDuplicateKnowledgeBaseName(knowledgeBaseDTO, null);

        String datasetId = null;
-        // 调用RAGFlow API创建数据集
+        // 调用RAG API创建数据集
        try {
            Map<String, Object> ragConfig = getValidatedRAGConfig(knowledgeBaseDTO.getRagModelId());
-            datasetId = createDatasetInRAGFlow(
+            datasetId = createDatasetInRAG(
                    knowledgeBaseDTO.getName(),
                    knowledgeBaseDTO.getDescription(),
                    ragConfig);
@@ -162,13 +154,13 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
        KnowledgeBaseEntity existingEntity = knowledgeBaseDao.selectOne(
                new QueryWrapper<KnowledgeBaseEntity>().eq("dataset_id", datasetId));
        if (existingEntity != null) {
-            // 如果datasetId已存在，删除RAGFlow中的数据集并抛出异常
+            // 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());
-                deleteDatasetInRAGFlow(datasetId, ragConfig);
+                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RAGFlow数据集失败: " + deleteException.getClass().getSimpleName();
+                String errorMessage = "删除重复datasetId的RAG数据集失败: " + deleteException.getClass().getSimpleName();
                if (deleteException.getMessage() != null) {
                    errorMessage += " - " + deleteException.getMessage();
                }
@@ -219,17 +211,17 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
                // 先校验RAG配置
                Map<String, Object> ragConfig = getValidatedRAGConfig(knowledgeBaseDTO.getRagModelId());

-                // 调用RAGFlow API更新数据集
-                updateDatasetInRAGFlow(
+                // 调用RAG API更新数据集
+                updateDatasetInRAG(
                        knowledgeBaseDTO.getDatasetId(),
                        knowledgeBaseDTO.getName(),
                        knowledgeBaseDTO.getDescription(),
                        ragConfig);

-                log.info("RAGFlow API更新成功，datasetId: {}", knowledgeBaseDTO.getDatasetId());
+                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RAGFlow数据集失败: " + e.getClass().getSimpleName();
+                String errorMessage = "更新RAG数据集失败: " + e.getClass().getSimpleName();
                if (e.getMessage() != null) {
                    errorMessage += " - " + e.getMessage();
                }
@@ -237,7 +229,7 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
                throw e;
            }
        } else {
-            log.warn("datasetId或ragModelId为空，跳过RAGFlow更新");
+            log.warn("datasetId或ragModelId为空，跳过RAG更新");
        }

        KnowledgeBaseEntity entity = ConvertUtils.sourceToTarget(knowledgeBaseDTO, KnowledgeBaseEntity.class);
@@ -267,6 +259,26 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
        return ConvertUtils.sourceToTarget(entity, KnowledgeBaseDTO.class);
    }

+    /**
+     * 根据知识库ID集合查询知识库
+     * @param datasetIdList 知识库ID集合
+     * @return
+     */
+    @Override
+    public List<KnowledgeBaseDTO> getByDatasetIdList(List<String> datasetIdList) {
+        //判断参数
+        if (ToolUtil.isEmpty(datasetIdList)) {
+            throw new RenException(ErrorCode.PARAMS_GET_ERROR);
+        }
+        //批量查询
+        List<KnowledgeBaseEntity> entityList = knowledgeBaseDao.selectList(
+                new QueryWrapper<KnowledgeBaseEntity>().in("dataset_id", datasetIdList));
+        if (ToolUtil.isEmpty(entityList)) {
+            throw new RenException(ErrorCode.Knowledge_Base_RECORD_NOT_EXISTS);
+        }
+        return ConvertUtils.sourceToTarget(entityList, KnowledgeBaseDTO.class);
+    }
+
    @Override
    public void deleteByDatasetId(String datasetId) {
        if (StringUtils.isBlank(datasetId)) {
@@ -288,19 +300,19 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
        log.info("找到记录: ID={}, datasetId={}, ragModelId={}",
                entity.getId(), entity.getDatasetId(), entity.getRagModelId());

-        // 先调用RAGFlow API删除数据集
+        // 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RAGFlow API删除数据集");
+                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());
-                deleteDatasetInRAGFlow(entity.getDatasetId(), ragConfig);
-                log.info("RAGFlow API删除调用完成");
+                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RAGFlow数据集失败: " + e.getClass().getSimpleName();
+                String errorMessage = "删除RAG数据集失败: " + e.getClass().getSimpleName();
                if (e.getMessage() != null) {
                    errorMessage += " - " + e.getMessage();
                }
@@ -308,7 +320,7 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
                throw e;
            }
        } else {
-            log.warn("datasetId或ragModelId为空，跳过RAGFlow删除");
+            log.warn("datasetId或ragModelId为空，跳过RAG删除");
            apiDeleteSuccess = true; // 没有RAG数据集，视为成功
        }

@@ -378,24 +390,17 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
    }

    @Override
-    public List<Map<String, Object>> getRAGModels() {
+    public List<ModelConfigEntity> getRAGModels() {
        // 查询RAG类型的模型配置
-        QueryWrapper<ModelConfigEntity> queryWrapper = new QueryWrapper<>();
-        queryWrapper.eq("model_type", Constant.RAG_CONFIG_TYPE)
+        QueryWrapper<ModelConfigEntity> queryWrapper = new QueryWrapper<ModelConfigEntity>()
+                .select("id", "model_name")
+                .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;
+        return modelConfigs;
    }

    /**
@@ -432,289 +437,133 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
    }

    /**
-     * 调用RAGFlow API创建数据集
+     * 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 createDatasetInRAGFlow(String name, String description, Map<String, Object> ragConfig) {
-        String datasetId = null;
-        String baseUrl = (String) ragConfig.get("base_url");
-        String apiKey = (String) ragConfig.get("api_key");
-
-        log.info("开始调用RAGFlow API创建数据集, name: {}", name);
-        log.debug("RAGFlow配置 - baseUrl: {}, apiKey: {}", baseUrl, StringUtils.isBlank(apiKey) ? "未配置" : "已配置");
-
-        // 构建请求URL
-        String url = baseUrl + "/api/v1/datasets";
-        log.debug("请求URL: {}", url);
-
-        // 构建请求体
-        Map<String, Object> requestBody = new HashMap<>();
-        String username = SecurityUser.getUser().getUsername();
-        requestBody.put("name", username + "_" + name);
-        if (StringUtils.isNotBlank(description)) {
-            requestBody.put("description", description);
-        }
-        log.debug("请求体: {}", requestBody);
-
-        // 设置请求头
-        HttpHeaders headers = new HttpHeaders();
-        headers.setContentType(MediaType.APPLICATION_JSON);
-        headers.set("Authorization", "Bearer " + apiKey);
-
-        HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(requestBody, headers);
-
-        // 发送POST请求
-        log.info("发送POST请求到RAGFlow API...");
-        ResponseEntity<String> response;
-        try {
-            response = restTemplate.exchange(url, HttpMethod.POST, requestEntity, String.class);
-        } catch (Exception e) {
-            String errorMessage = url + e.getMessage();
-            log.error(errorMessage, e);
-            throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
+    private String extractAdapterType(Map<String, Object> config) {
+        if (config == null) {
+            throw new RenException(ErrorCode.RAG_CONFIG_NOT_FOUND);
        }

-        log.info("RAGFlow API响应状态码: {}", response.getStatusCode());
-        log.debug("RAGFlow API响应内容: {}", response.getBody());
+        // 从配置中提取适配器类型
+        String adapterType = (String) config.get("type");

-        if (!response.getStatusCode().is2xxSuccessful()) {
-            String errorMessage = response.getStatusCode() + ", 响应内容: " + response.getBody();
-            log.error(errorMessage);
-            throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
+        // 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);
        }

-        // 解析响应体，提取datasetId
-        String responseBody = response.getBody();
-        if (StringUtils.isNotBlank(responseBody)) {
-            try {
-                // 解析RAGFlow API响应，支持多种可能的字段名
-                ObjectMapper objectMapper = new ObjectMapper();
-                Map<String, Object> responseMap = objectMapper.readValue(responseBody, Map.class);
-
-                log.debug("RAGFlow API响应解析结果: {}", responseMap);
-
-                // 首先检查响应码
-                Integer code = (Integer) responseMap.get("code");
-                String message = (String) responseMap.get("message");
-                if (code != null && code == 0) {
-                    // 响应码为0表示成功，从data字段中获取datasetId
-                    Object dataObj = responseMap.get("data");
-                    if (dataObj instanceof Map) {
-                        Map<String, Object> dataMap = (Map<String, Object>) dataObj;
-                        datasetId = (String) dataMap.get("id");
-
-                        if (StringUtils.isBlank(datasetId)) {
-                            // 如果id字段为空，尝试其他可能的字段名
-                            datasetId = (String) dataMap.get("dataset_id");
-                            datasetId = (String) dataMap.get("datasetId");
-                        }
-                    }
-                } else {
-                    // 如果响应码不为0，说明API调用失败
-                    String errorMessage = code + (message != null ? message : "null");
-                    log.error(errorMessage);
-                    throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-                }
-
-                log.info("从RAGFlow API响应中解析出datasetId: {}", datasetId);
-                log.debug("完整响应内容: {}", responseBody);
-            } catch (IOException e) {
-                // 构建详细的错误信息，包含异常类型和消息
-                String baseErrorMessage = e.getClass().getSimpleName();
-                String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-                log.error(errorMessage, e);
-                throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-            } 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();
-                String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-                log.error(errorMessage, e);
-                // 如果解析失败，但响应体不为空，尝试直接使用响应体作为错误信息
-                String finalErrorMessage = responseBody;
-                if (e.getMessage() != null) {
-                    finalErrorMessage += errorMessage;
-                }
-                throw new RenException(ErrorCode.RAG_API_ERROR, finalErrorMessage);
-            }
+        // 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);
        }

-        if (StringUtils.isBlank(datasetId)) {
-            log.error("无法从RAGFlow API响应中获取datasetId，响应内容: {}", responseBody);
-            throw new RenException(ErrorCode.RAG_DATASET_ID_NOT_NULL);
-        }
-        log.info("RAGFlow数据集创建成功，datasetId: {}", datasetId);
-
-        return datasetId;
+        return adapterType;
    }

    /**
-     * 调用RAGFlow API更新数据集
+     * 使用适配器创建数据集
     */
-    private void updateDatasetInRAGFlow(String datasetId, String name, String description,
+    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) {
-        String baseUrl = (String) ragConfig.get("base_url");
-        String apiKey = (String) ragConfig.get("api_key");
+        log.info("开始使用适配器更新数据集，datasetId: {}, name: {}", datasetId, name);

-        log.info("开始调用RAGFlow API更新数据集，datasetId: {}, name: {}", datasetId, name);
-        log.debug("RAGFlow配置 - baseUrl: {}, apiKey: {}", baseUrl, StringUtils.isBlank(apiKey) ? "未配置" : "已配置");
-
-        // 构建请求URL
-        String url = baseUrl + "/api/v1/datasets/" + datasetId;
-        log.debug("请求URL: {}", url);
-        // 构建请求体
-        Map<String, Object> requestBody = new HashMap<>();
-        requestBody.put("dataset_id", datasetId);
-        String username = SecurityUser.getUser().getUsername();
-        requestBody.put("name", username + "_" + name);
-        if (StringUtils.isNotBlank(description)) {
-            requestBody.put("description", description);
-        }
-        log.debug("请求体: {}", requestBody);
-
-        // 设置请求头
-        HttpHeaders headers = new HttpHeaders();
-        headers.setContentType(MediaType.APPLICATION_JSON);
-        headers.set("Authorization", "Bearer " + apiKey);
-
-        HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(requestBody, headers);
-
-        // 发送PUT请求
-        log.info("发送PUT请求到RAGFlow API...");
-        ResponseEntity<String> response;
        try {
-            response = restTemplate.exchange(url, HttpMethod.PUT, requestEntity, String.class);
-        } catch (Exception e) {
-            String errorMessage = url + e.getMessage();
-            log.error(errorMessage, e);
-            throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-        }
+            // 从RAG配置中提取适配器类型
+            String adapterType = extractAdapterType(ragConfig);

-        log.info("RAGFlow API响应状态码: {}", response.getStatusCode());
-        log.debug("RAGFlow API响应内容: {}", response.getBody());
+            // 使用适配器工厂获取适配器实例
+            KnowledgeBaseAdapter adapter = KnowledgeBaseAdapterFactory.getAdapter(adapterType, ragConfig);

-        if (!response.getStatusCode().is2xxSuccessful()) {
-            String errorMessage = response.getStatusCode() + ", 响应内容: " + response.getBody();
-            log.error(errorMessage);
-            throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-        }
-
-        // 解析响应体，验证操作是否真正成功
-        String responseBody = response.getBody();
-        if (responseBody != null) {
-            try {
-                Map<String, Object> responseMap = objectMapper.readValue(responseBody, Map.class);
-                Integer code = (Integer) responseMap.get("code");
-                String message = (String) responseMap.get("message");
-
-                if (code != null && code != 0) {
-                    String errorMessage = code + (message != null ? message : "null");
-                    log.error(errorMessage);
-                    throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-                }
-            } catch (IOException e) {
-                // 构建详细的错误信息，包含异常类型和消息
-                String baseErrorMessage = e.getClass().getSimpleName();
-                String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-                log.error(errorMessage, e);
-                throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-            } 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();
-                String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-                log.error(errorMessage, e);
-                // 如果解析失败，但响应体不为空，尝试直接使用响应体作为错误信息
-                String finalErrorMessage = responseBody;
-                if (e.getMessage() != null) {
-                    finalErrorMessage += errorMessage;
-                }
-                throw new RenException(ErrorCode.RAG_API_ERROR, finalErrorMessage);
+            // 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());
        }
-
-        log.info("RAGFlow数据集更新成功，datasetId: {}", datasetId);
-
    }

    /**
-     * 调用RAGFlow API删除数据集
+     * 使用适配器删除数据集
     */
-    private void deleteDatasetInRAGFlow(String datasetId, Map<String, Object> ragConfig) {
-        String baseUrl = (String) ragConfig.get("base_url");
-        String apiKey = (String) ragConfig.get("api_key");
+    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);

-        log.info("开始调用RAGFlow API删除数据集，datasetId: {}", datasetId);
-        log.debug("RAGFlow配置 - baseUrl: {}, apiKey: {}", baseUrl, StringUtils.isBlank(apiKey) ? "未配置" : "已配置");
-
-        // 构建请求URL
-        String url = baseUrl + "/api/v1/datasets";
-        log.debug("请求URL: {}", url);
-
-        // 构建请求体
-        Map<String, Object> requestBody = new HashMap<>();
-        requestBody.put("ids", List.of(datasetId));
-        log.debug("请求体: {}", requestBody);
-
-        // 设置请求头
-        HttpHeaders headers = new HttpHeaders();
-        headers.setContentType(MediaType.APPLICATION_JSON);
-        headers.set("Authorization", "Bearer " + apiKey);
-
-        HttpEntity<Map<String, Object>> requestEntity = new HttpEntity<>(requestBody, headers);
-
-        // 发送DELETE请求
-        log.info("发送DELETE请求到RAGFlow API...");
-        ResponseEntity<String> response;
        try {
-            response = restTemplate.exchange(url, HttpMethod.DELETE, requestEntity, String.class);
+            // 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) {
-            String errorMessage = url + e.getMessage();
-            log.error(errorMessage, e);
-            throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-        }
-
-        log.info("RAGFlow API响应状态码: {}", response.getStatusCode());
-        log.debug("RAGFlow API响应内容: {}", response.getBody());
-
-        if (!response.getStatusCode().is2xxSuccessful()) {
-            String errorMessage = response.getStatusCode() + response.getBody();
-            log.error(errorMessage);
-            throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-        }
-
-        // 解析响应体，验证操作是否真正成功
-        String responseBody = response.getBody();
-        if (responseBody != null) {
-            try {
-                Map<String, Object> responseMap = objectMapper.readValue(responseBody, Map.class);
-                Integer code = (Integer) responseMap.get("code");
-                String message = (String) responseMap.get("message");
-
-                if (code != null && code != 0) {
-                    String errorMessage = code + (message != null ? message : "null");
-                    log.error(errorMessage);
-                    throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-                }
-            } catch (IOException e) {
-                // 构建详细的错误信息，包含异常类型和消息
-                String baseErrorMessage = e.getClass().getSimpleName();
-                String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-                log.error(errorMessage, e);
-                throw new RenException(ErrorCode.RAG_API_ERROR, errorMessage);
-            } 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();
-                String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-                log.error(errorMessage, e);
-                // 如果解析失败，但响应体不为空，尝试直接使用响应体作为错误信息
-                String finalErrorMessage = responseBody;
-                if (e.getMessage() != null) {
-                    finalErrorMessage += errorMessage;
-                }
-                throw new RenException(ErrorCode.RAG_API_ERROR, finalErrorMessage);
+            // 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());
        }
-
-        log.info("RAGFlow数据集删除成功，datasetId: {}", datasetId);
-
    }

    /**
@@ -760,9 +609,9 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,
    }

    /**
-     * 从RAGFlow API获取知识库的文档数量
+     * 从适配器获取知识库的文档数量
     */
-    private Integer getDocumentCountFromRAGFlow(String datasetId, String ragModelId) {
+    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;
@@ -770,79 +619,29 @@ public class KnowledgeBaseServiceImpl extends BaseServiceImpl<KnowledgeBaseDao,

        log.info("开始获取知识库 {} 的文档数量", datasetId);

-        // 获取RAG配置
-        Map<String, Object> ragConfig = getValidatedRAGConfig(ragModelId);
-        String baseUrl = (String) ragConfig.get("base_url");
-        String apiKey = (String) ragConfig.get("api_key");
-
-        // 构建请求URL - 调用RAGFlow API获取文档列表，但不返回文档详情，只获取总数
-        String url = baseUrl + "/api/v1/datasets/" + datasetId + "/documents?page=1&size=1";
-        log.debug("请求URL: {}", url);
-
-        // 设置请求头
-        HttpHeaders headers = new HttpHeaders();
-        headers.setContentType(MediaType.APPLICATION_JSON);
-        headers.set("Authorization", "Bearer " + apiKey);
-
-        HttpEntity<String> requestEntity = new HttpEntity<>(headers);
-
-        // 发送GET请求
-        log.info("发送GET请求到RAGFlow API获取文档数量...");
-        ResponseEntity<String> response;
        try {
-            response = restTemplate.exchange(url, HttpMethod.GET, requestEntity, String.class);
+            // 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) {
-            String errorMessage = url + e.getMessage();
+            // 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;
        }
-
-        log.info("RAGFlow API响应状态码: {}", response.getStatusCode());
-
-        if (!response.getStatusCode().is2xxSuccessful()) {
-            log.error("RAGFlow API调用失败，状态码: {}, 响应内容: {}", response.getStatusCode(), response.getBody());
-            return 0;
-        }
-
-        String responseBody = response.getBody();
-        log.debug("RAGFlow API响应内容: {}", responseBody);
-
-        // 解析响应
-        try {
-            ObjectMapper objectMapper = new ObjectMapper();
-            Map<String, Object> responseMap = objectMapper.readValue(responseBody, Map.class);
-            Integer code = (Integer) responseMap.get("code");
-
-            if (code != null && code == 0) {
-                Object dataObj = responseMap.get("data");
-                if (dataObj instanceof Map) {
-                    Map<String, Object> dataMap = (Map<String, Object>) dataObj;
-                    Object totalObj = dataMap.get("total");
-                    if (totalObj instanceof Integer) {
-                        Integer documentCount = (Integer) totalObj;
-                        log.info("获取知识库 {} 的文档数量成功: {}", datasetId, documentCount);
-                        return documentCount;
-                    } else if (totalObj instanceof Long) {
-                        Long documentCount = (Long) totalObj;
-                        log.info("获取知识库 {} 的文档数量成功: {}", datasetId, documentCount);
-                        return documentCount.intValue();
-                    }
-                }
-            } else {
-                log.error("RAGFlow API调用失败，响应码: {}, 响应内容: {}", code, responseBody);
-            }
-        } catch (IOException e) {
-            // 构建详细的错误信息，包含异常类型和消息
-            String baseErrorMessage = e.getClass().getSimpleName() + " - 解析RAGFlow API响应时发生IO异常";
-            String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-            log.error(errorMessage, e);
-        } 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() + " - 解析RAGFlow API响应失败";
-            String errorMessage = baseErrorMessage + (e.getMessage() != null ? ": " + e.getMessage() : "");
-            log.error(errorMessage, e);
-        }
-        return 0;
    }

 }
@@ -0,0 +1,70 @@
+package xiaozhi.modules.llm.service;
+
+/**
+ * LLM服务接口
+ * 支持多种大模型调用
+ */
+public interface LLMService {
+
+    /**
+     * 生成聊天记录总结
+     * 
+     * @param conversation   对话内容
+     * @param promptTemplate 提示词模板
+     * @return 总结结果
+     */
+    String generateSummary(String conversation, String promptTemplate);
+
+    /**
+     * 生成聊天记录总结（使用默认提示词）
+     * 
+     * @param conversation 对话内容
+     * @return 总结结果
+     */
+    String generateSummary(String conversation);
+
+    /**
+     * 生成聊天记录总结（指定模型ID）
+     * 
+     * @param conversation 对话内容
+     * @param modelId      模型ID
+     * @return 总结结果
+     */
+    String generateSummaryWithModel(String conversation, String modelId);
+
+    /**
+     * 生成聊天记录总结（指定模型ID和提示词模板）
+     * 
+     * @param conversation   对话内容
+     * @param promptTemplate 提示词模板
+     * @param modelId        模型ID
+     * @return 总结结果
+     */
+    String generateSummary(String conversation, String promptTemplate, String modelId);
+
+    /**
+     * 生成聊天记录总结（包含历史记忆合并）
+     * 
+     * @param conversation   对话内容
+     * @param historyMemory  历史记忆
+     * @param promptTemplate 提示词模板
+     * @param modelId        模型ID
+     * @return 总结结果
+     */
+    String generateSummaryWithHistory(String conversation, String historyMemory, String promptTemplate, String modelId);
+
+    /**
+     * 检查服务是否可用
+     * 
+     * @return 是否可用
+     */
+    boolean isAvailable();
+
+    /**
+     * 检查指定模型的服务是否可用
+     * 
+     * @param modelId 模型ID
+     * @return 是否可用
+     */
+    boolean isAvailable(String modelId);
+}
@@ -0,0 +1,305 @@
+package xiaozhi.modules.llm.service.impl;
+
+import java.util.HashMap;
+import java.util.List;
+import java.util.Map;
+
+import org.apache.commons.lang3.StringUtils;
+import org.springframework.beans.factory.annotation.Autowired;
+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 cn.hutool.json.JSONArray;
+import cn.hutool.json.JSONObject;
+import cn.hutool.json.JSONUtil;
+import lombok.extern.slf4j.Slf4j;
+import xiaozhi.modules.llm.service.LLMService;
+import xiaozhi.modules.model.entity.ModelConfigEntity;
+import xiaozhi.modules.model.service.ModelConfigService;
+
+/**
+ * OpenAI风格API的LLM服务实现
+ * 支持阿里云、DeepSeek、ChatGLM等兼容OpenAI API的模型
+ */
+@Slf4j
+@Service
+public class OpenAIStyleLLMServiceImpl implements LLMService {
+
+    @Autowired
+    private ModelConfigService modelConfigService;
+
+    private final RestTemplate restTemplate = new RestTemplate();
+
+    private static final String DEFAULT_SUMMARY_PROMPT = "你是一个经验丰富的记忆总结者，擅长将对话内容进行总结摘要，遵循以下规则：\n1、总结用户的重要信息，以便在未来的对话中提供更个性化的服务\n2、不要重复总结，不要遗忘之前记忆，除非原来的记忆超过了1800字，否则不要遗忘、不要压缩用户的历史记忆\n3、用户操控的设备音量、播放音乐、天气、退出、不想对话等和用户本身无关的内容，这些信息不需要加入到总结中\n4、聊天内容中的今天的日期时间、今天的天气情况与用户事件无关的数据，这些信息如果当成记忆存储会影响后续对话，这些信息不需要加入到总结中\n5、不要把设备操控的成果结果和失败结果加入到总结中，也不要把用户的一些废话加入到总结中\n6、不要为了总结而总结，如果用户的聊天没有意义，请返回原来的历史记录也是可以的\n7、只需要返回总结摘要，严格控制在1800字内\n8、不要包含代码、xml，不需要解释、注释和说明，保存记忆时仅从对话提取信息，不要混入示例内容\n9、如果提供了历史记忆，请将新对话内容与历史记忆进行智能合并，保留有价值的历史信息，同时添加新的重要信息\n\n历史记忆：\n{history_memory}\n\n新对话内容：\n{conversation}";
+
+    @Override
+    public String generateSummary(String conversation) {
+        return generateSummary(conversation, null, null);
+    }
+
+    @Override
+    public String generateSummaryWithModel(String conversation, String modelId) {
+        return generateSummary(conversation, null, modelId);
+    }
+
+    @Override
+    public String generateSummary(String conversation, String promptTemplate, String modelId) {
+        if (!isAvailable()) {
+            log.warn("LLM服务不可用，无法生成总结");
+            return "LLM服务不可用，无法生成总结";
+        }
+
+        try {
+            // 从智控台获取LLM模型配置
+            ModelConfigEntity llmConfig;
+            if (modelId != null && !modelId.trim().isEmpty()) {
+                // 通过具体模型ID获取配置
+                llmConfig = modelConfigService.getModelByIdFromCache(modelId);
+            } else {
+                // 保持向后兼容，使用默认配置
+                llmConfig = getDefaultLLMConfig();
+            }
+
+            if (llmConfig == null || llmConfig.getConfigJson() == null) {
+                log.error("未找到可用的LLM模型配置，modelId: {}", modelId);
+                return "未找到可用的LLM模型配置";
+            }
+
+            JSONObject configJson = llmConfig.getConfigJson();
+            String baseUrl = configJson.getStr("base_url");
+            String model = configJson.getStr("model_name");
+            String apiKey = configJson.getStr("api_key");
+            Double temperature = configJson.getDouble("temperature");
+            Integer maxTokens = configJson.getInt("max_tokens");
+
+            if (StringUtils.isBlank(baseUrl) || StringUtils.isBlank(apiKey)) {
+                log.error("LLM配置不完整，baseUrl或apiKey为空");
+                return "LLM配置不完整，无法生成总结";
+            }
+
+            // 构建提示词
+            String prompt = (promptTemplate != null ? promptTemplate : DEFAULT_SUMMARY_PROMPT).replace("{conversation}",
+                    conversation);
+
+            // 构建请求体
+            Map<String, Object> requestBody = new HashMap<>();
+            requestBody.put("model", model != null ? model : "gpt-3.5-turbo");
+
+            Map<String, Object>[] messages = new Map[1];
+            Map<String, Object> message = new HashMap<>();
+            message.put("role", "user");
+            message.put("content", prompt);
+            messages[0] = message;
+
+            requestBody.put("messages", messages);
+            requestBody.put("temperature", temperature != null ? temperature : 0.7);
+            requestBody.put("max_tokens", maxTokens != null ? maxTokens : 2000);
+
+            // 发送HTTP请求
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.APPLICATION_JSON);
+            headers.set("Authorization", "Bearer " + apiKey);
+
+            HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);
+
+            // 构建完整的API URL
+            String apiUrl = baseUrl;
+            if (!apiUrl.endsWith("/chat/completions")) {
+                if (!apiUrl.endsWith("/")) {
+                    apiUrl += "/";
+                }
+                apiUrl += "chat/completions";
+            }
+
+            ResponseEntity<String> response = restTemplate.exchange(
+                    apiUrl, HttpMethod.POST, entity, String.class);
+
+            if (response.getStatusCode().is2xxSuccessful()) {
+                JSONObject responseJson = JSONUtil.parseObj(response.getBody());
+                JSONArray choices = responseJson.getJSONArray("choices");
+                if (choices != null && choices.size() > 0) {
+                    JSONObject choice = choices.getJSONObject(0);
+                    JSONObject messageObj = choice.getJSONObject("message");
+                    return messageObj.getStr("content");
+                }
+            } else {
+                log.error("LLM API调用失败，状态码：{}，响应：{}", response.getStatusCode(), response.getBody());
+            }
+        } catch (Exception e) {
+            log.error("调用LLM服务生成总结时发生异常，modelId: {}", modelId, e);
+        }
+
+        return "生成总结失败，请稍后重试";
+    }
+
+    @Override
+    public String generateSummary(String conversation, String promptTemplate) {
+        return generateSummary(conversation, promptTemplate, null);
+    }
+
+    @Override
+    public String generateSummaryWithHistory(String conversation, String historyMemory, String promptTemplate,
+            String modelId) {
+        if (!isAvailable()) {
+            log.warn("LLM服务不可用，无法生成总结");
+            return "LLM服务不可用，无法生成总结";
+        }
+
+        try {
+            // 从智控台获取LLM模型配置
+            ModelConfigEntity llmConfig;
+            if (modelId != null && !modelId.trim().isEmpty()) {
+                // 通过具体模型ID获取配置
+                llmConfig = modelConfigService.getModelByIdFromCache(modelId);
+            } else {
+                // 保持向后兼容，使用默认配置
+                llmConfig = getDefaultLLMConfig();
+            }
+
+            if (llmConfig == null || llmConfig.getConfigJson() == null) {
+                log.error("未找到可用的LLM模型配置，modelId: {}", modelId);
+                return "未找到可用的LLM模型配置";
+            }
+
+            JSONObject configJson = llmConfig.getConfigJson();
+            String baseUrl = configJson.getStr("base_url");
+            String model = configJson.getStr("model_name");
+            String apiKey = configJson.getStr("api_key");
+
+            if (StringUtils.isBlank(baseUrl) || StringUtils.isBlank(apiKey)) {
+                log.error("LLM配置不完整，baseUrl或apiKey为空");
+                return "LLM配置不完整，无法生成总结";
+            }
+
+            // 构建提示词，包含历史记忆
+            String prompt = (promptTemplate != null ? promptTemplate : DEFAULT_SUMMARY_PROMPT)
+                    .replace("{history_memory}", historyMemory != null ? historyMemory : "无历史记忆")
+                    .replace("{conversation}", conversation);
+
+            // 构建请求体
+            Map<String, Object> requestBody = new HashMap<>();
+            requestBody.put("model", model != null ? model : "gpt-3.5-turbo");
+
+            Map<String, Object>[] messages = new Map[1];
+            Map<String, Object> message = new HashMap<>();
+            message.put("role", "user");
+            message.put("content", prompt);
+            messages[0] = message;
+
+            requestBody.put("messages", messages);
+            requestBody.put("temperature", 0.2);
+            requestBody.put("max_tokens", 2000);
+
+            // 发送HTTP请求
+            HttpHeaders headers = new HttpHeaders();
+            headers.setContentType(MediaType.APPLICATION_JSON);
+            headers.set("Authorization", "Bearer " + apiKey);
+
+            HttpEntity<Map<String, Object>> entity = new HttpEntity<>(requestBody, headers);
+
+            // 构建完整的API URL
+            String apiUrl = baseUrl;
+            if (!apiUrl.endsWith("/chat/completions")) {
+                if (!apiUrl.endsWith("/")) {
+                    apiUrl += "/";
+                }
+                apiUrl += "chat/completions";
+            }
+
+            ResponseEntity<String> response = restTemplate.exchange(
+                    apiUrl, HttpMethod.POST, entity, String.class);
+
+            if (response.getStatusCode().is2xxSuccessful()) {
+                JSONObject responseJson = JSONUtil.parseObj(response.getBody());
+                JSONArray choices = responseJson.getJSONArray("choices");
+                if (choices != null && choices.size() > 0) {
+                    JSONObject choice = choices.getJSONObject(0);
+                    JSONObject messageObj = choice.getJSONObject("message");
+                    return messageObj.getStr("content");
+                }
+            } else {
+                log.error("LLM API调用失败，状态码：{}，响应：{}", response.getStatusCode(), response.getBody());
+            }
+        } catch (Exception e) {
+            log.error("调用LLM服务生成总结时发生异常，modelId: {}", modelId, e);
+        }
+
+        return "生成总结失败，请稍后重试";
+    }
+
+    @Override
+    public boolean isAvailable() {
+        try {
+            ModelConfigEntity defaultLLMConfig = getDefaultLLMConfig();
+            if (defaultLLMConfig == null || defaultLLMConfig.getConfigJson() == null) {
+                return false;
+            }
+
+            JSONObject configJson = defaultLLMConfig.getConfigJson();
+            String baseUrl = configJson.getStr("base_url");
+            String apiKey = configJson.getStr("api_key");
+
+            return baseUrl != null && !baseUrl.trim().isEmpty() &&
+                    apiKey != null && !apiKey.trim().isEmpty();
+        } catch (Exception e) {
+            log.error("检查LLM服务可用性时发生异常：", e);
+            return false;
+        }
+    }
+
+    @Override
+    public boolean isAvailable(String modelId) {
+        try {
+            if (modelId == null || modelId.trim().isEmpty()) {
+                return isAvailable();
+            }
+
+            // 通过具体模型ID获取配置
+            ModelConfigEntity modelConfig = modelConfigService.getModelByIdFromCache(modelId);
+            if (modelConfig == null || modelConfig.getConfigJson() == null) {
+                log.warn("未找到指定的LLM模型配置，modelId: {}", modelId);
+                return false;
+            }
+
+            JSONObject configJson = modelConfig.getConfigJson();
+            String baseUrl = configJson.getStr("base_url");
+            String apiKey = configJson.getStr("api_key");
+
+            return baseUrl != null && !baseUrl.trim().isEmpty() &&
+                    apiKey != null && !apiKey.trim().isEmpty();
+        } catch (Exception e) {
+            log.error("检查LLM服务可用性时发生异常，modelId: {}", modelId, e);
+            return false;
+        }
+    }
+
+    /**
+     * 从智控台获取默认的LLM模型配置
+     */
+    private ModelConfigEntity getDefaultLLMConfig() {
+        try {
+            // 获取所有启用的LLM模型配置
+            List<ModelConfigEntity> llmConfigs = modelConfigService.getEnabledModelsByType("LLM");
+            if (llmConfigs == null || llmConfigs.isEmpty()) {
+                return null;
+            }
+
+            // 优先返回默认配置，如果没有默认配置则返回第一个启用的配置
+            for (ModelConfigEntity config : llmConfigs) {
+                if (config.getIsDefault() != null && config.getIsDefault() == 1) {
+                    return config;
+                }
+            }
+
+            return llmConfigs.get(0);
+        } catch (Exception e) {
+            log.error("获取LLM模型配置时发生异常：", e);
+            return null;
+        }
+    }
+}
@@ -19,4 +19,27 @@ 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;
+    
+    @Schema(description = "是否为克隆音色")
+    private Boolean isClone;
+
+    // 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;
+        this.isClone = false; // 默认不是克隆音色
+    }
+    
+    // 添加三参数构造函数，用于普通音色
+    public VoiceDTO(String id, String name, String voiceDemo) {
+        this.id = id;
+        this.name = name;
+        this.voiceDemo = voiceDemo;
+        this.isClone = false;
+    }
+
 }
@@ -55,4 +55,12 @@ public interface ModelConfigService extends BaseService<ModelConfigEntity> {
     * @return TTS平台列表(id和modelName)
     */
    List<Map<String, Object>> getTtsPlatformList();
+
+    /**
+     * 根据模型类型获取所有启用的模型配置
+     *
+     * @param modelType 模型类型（如：LLM, TTS, ASR等）
+     * @return 启用的模型配置列表
+     */
+    List<ModelConfigEntity> getEnabledModelsByType(String modelType);
 }
@@ -56,7 +56,7 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
                new QueryWrapper<ModelConfigEntity>()
                        .eq("model_type", modelType)
                        .eq("is_enabled", 1)
-                        .like(StringUtils.isNotBlank(modelName), "model_name", "%" + modelName + "%")
+                        .like(StringUtils.isNotBlank(modelName), "model_name", modelName)
                        .select("id", "model_name"));
        return ConvertUtils.sourceToTarget(entities, ModelBasicInfoDTO.class);
    }
@@ -67,14 +67,14 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
                new QueryWrapper<ModelConfigEntity>()
                        .eq("model_type", "llm")
                        .eq("is_enabled", 1)
-                        .like(StringUtils.isNotBlank(modelName), "model_name", "%" + modelName + "%")
+                        .like(StringUtils.isNotBlank(modelName), "model_name", modelName)
                        .select("id", "model_name", "config_json"));

        return entities.stream().map(item -> {
            LlmModelBasicInfoDTO dto = new LlmModelBasicInfoDTO();
            dto.setId(item.getId());
            dto.setModelName(item.getModelName());
-            String type = item.getConfigJson().get("type").toString();
+            String type = item.getConfigJson().getOrDefault("type", "").toString();
            dto.setType(type);
            return dto;
        }).toList();
@@ -91,14 +91,13 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
        Page<ModelConfigEntity> pageInfo = new Page<>(curPage, pageSize);

        // 添加排序规则：先按is_enabled降序，再按sort升序
-        pageInfo.addOrder(OrderItem.desc("is_enabled"));
-        pageInfo.addOrder(OrderItem.asc("sort"));
+        pageInfo.addOrder(OrderItem.desc("is_enabled"), OrderItem.asc("sort"));

        IPage<ModelConfigEntity> modelConfigEntityIPage = modelConfigDao.selectPage(
                pageInfo,
                new QueryWrapper<ModelConfigEntity>()
                        .eq("model_type", modelType)
-                        .like(StringUtils.isNotBlank(modelName), "model_name", "%" + modelName + "%"));
+                        .like(StringUtils.isNotBlank(modelName), "model_name", modelName));

        return getPageData(modelConfigEntityIPage, ModelConfigDTO.class);
    }
@@ -346,6 +345,7 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
        modelConfigEntity.setModelName(modelConfigBodyDTO.getModelName());
        modelConfigEntity.setSort(modelConfigBodyDTO.getSort());
        modelConfigEntity.setIsEnabled(modelConfigBodyDTO.getIsEnabled());
+        modelConfigEntity.setRemark(modelConfigBodyDTO.getRemark());
        // 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();
@@ -488,7 +488,7 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
            List<ModelConfigEntity> intentConfigs = modelConfigDao.selectList(
                    new QueryWrapper<ModelConfigEntity>()
                            .eq("model_type", "Intent")
-                            .like("config_json", "%" + modelId + "%"));
+                            .like("config_json", modelId));
            if (!intentConfigs.isEmpty()) {
                throw new RenException(ErrorCode.LLM_REFERENCED_BY_INTENT);
            }
@@ -502,4 +502,22 @@ public class ModelConfigServiceImpl extends BaseServiceImpl<ModelConfigDao, Mode
    public List<Map<String, Object>> getTtsPlatformList() {
        return modelConfigDao.getTtsPlatformList();
    }
+
+    /**
+     * 根据模型类型获取所有启用的模型配置
+     */
+    @Override
+    public List<ModelConfigEntity> getEnabledModelsByType(String modelType) {
+        if (StringUtils.isBlank(modelType)) {
+            return null;
+        }
+
+        List<ModelConfigEntity> entities = modelConfigDao.selectList(
+                new QueryWrapper<ModelConfigEntity>()
+                        .eq("model_type", modelType)
+                        .eq("is_enabled", 1)
+                        .orderByAsc("sort"));
+
+        return entities;
+    }
 }
@@ -124,12 +124,6 @@ public class ModelProviderServiceImpl extends BaseServiceImpl<ModelProviderDao,
        return getPageData(modelProviderDao.selectPage(pageParam, wrapper), ModelProviderDTO.class);
    }

-    public static void main(String[] args) {
-        String jsonString = "\"[]\"";
-        JSONArray jsonArray = new JSONArray(jsonString);
-        System.out.println("字符串转 JSONArray: " + jsonArray.toString());
-    }
-
    @Override
    public ModelProviderDTO add(ModelProviderDTO modelProviderDTO) {
        UserDetail user = SecurityUser.getUser();
@@ -153,8 +147,7 @@ public class ModelProviderServiceImpl extends BaseServiceImpl<ModelProviderDao,
        UserDetail user = SecurityUser.getUser();
        modelProviderDTO.setUpdater(user.getId());
        modelProviderDTO.setUpdateDate(new Date());
-        if (modelProviderDao
-                .updateById(ConvertUtils.sourceToTarget(modelProviderDTO, ModelProviderEntity.class)) == 0) {
+        if (modelProviderDao.updateById(ConvertUtils.sourceToTarget(modelProviderDTO, ModelProviderEntity.class)) == 0) {
            throw new RenException(ErrorCode.UPDATE_DATA_FAILED);
        }
        return ConvertUtils.sourceToTarget(modelProviderDTO, ModelProviderDTO.class);
@@ -89,7 +89,7 @@ public class ShiroConfig {
        filterMap.put("/config/**", "server");
        filterMap.put("/agent/chat-history/report", "server");
        filterMap.put("/agent/chat-history/download/**", "anon");
-        filterMap.put("/agent/saveMemory/**", "server");
+        filterMap.put("/agent/chat-summary/**", "server");
        filterMap.put("/agent/play/**", "anon");
        filterMap.put("/voiceClone/play/**", "anon");
        filterMap.put("/**", "oauth2");
@@ -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);
    }
 }
@@ -31,6 +31,8 @@ import xiaozhi.modules.sys.dto.ServerActionResponseDTO;
 import xiaozhi.modules.sys.enums.ServerActionEnum;
 import xiaozhi.modules.sys.service.SysParamsService;
 import xiaozhi.modules.sys.utils.WebSocketClientManager;
+import xiaozhi.modules.device.service.DeviceService;
+import xiaozhi.common.redis.RedisUtils;

 /**
 * 服务端管理控制器
@@ -41,6 +43,8 @@ import xiaozhi.modules.sys.utils.WebSocketClientManager;
@AllArgsConstructor
 public class ServerSideManageController {
    private final SysParamsService sysParamsService;
+    private final DeviceService deviceService;
+    private final RedisUtils redisUtils;
    private static final ObjectMapper objectMapper;
    static {
        objectMapper = new ObjectMapper();
@@ -85,9 +89,22 @@ public class ServerSideManageController {
            return false;
        }
        String serverSK = sysParamsService.getValue(Constant.SERVER_SECRET, true);
+
+        String deviceId = UUID.randomUUID().toString();
+        String clientId = UUID.randomUUID().toString();
+
+        String redisKey = xiaozhi.common.redis.RedisKeys.getTmpRegisterMacKey(deviceId);
+        redisUtils.set(redisKey, "true", 300); // 5分钟有效期
+
        WebSocketHttpHeaders headers = new WebSocketHttpHeaders();
-        headers.add("device-id", UUID.randomUUID().toString());
-        headers.add("client-id", UUID.randomUUID().toString());
+        headers.add("device-id", deviceId);
+        headers.add("client-id", clientId);
+        try {
+            String token = deviceService.generateWebSocketToken(clientId, deviceId);
+            headers.add("authorization", "Bearer " + token);
+        } catch (Exception e) {
+            throw new RenException(ErrorCode.WEB_SOCKET_CONNECT_FAILED);
+        }

        try (WebSocketClientManager client = new WebSocketClientManager.Builder()
                .connectTimeout(3, TimeUnit.SECONDS)
@@ -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);
@@ -4,6 +4,7 @@ import java.util.List;

 import org.apache.ibatis.annotations.Mapper;

+import org.apache.ibatis.annotations.Param;
 import xiaozhi.common.dao.BaseDao;
 import xiaozhi.modules.sys.entity.SysDictDataEntity;
 import xiaozhi.modules.sys.vo.SysDictDataItem;
@@ -23,4 +24,9 @@ public interface SysDictDataDao extends BaseDao<SysDictDataEntity> {
     * @return 字典类型编码
     */
    String getTypeByTypeId(Long dictTypeId);
+
+    /**
+     * 根据字典数据ID集合获取字典类型编码集合
+     */
+    List<String> getDictTypesByIdList(@Param("dictDataIdList") List<Long> dictDataIdList);
 }
@@ -1,9 +1,6 @@
 package xiaozhi.modules.sys.service.impl;

-import java.util.List;
-import java.util.Map;
-import java.util.Objects;
-import java.util.Set;
+import java.util.*;
 import java.util.stream.Collectors;
 import java.util.stream.Stream;

@@ -23,6 +20,7 @@ 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.ToolUtil;
 import xiaozhi.modules.sys.dao.SysDictDataDao;
 import xiaozhi.modules.sys.dao.SysUserDao;
 import xiaozhi.modules.sys.dto.SysDictDataDTO;
@@ -104,13 +102,19 @@ public class SysDictDataServiceImpl extends BaseServiceImpl<SysDictDataDao, SysD
    @Override
    @Transactional(rollbackFor = Exception.class)
    public void delete(Long[] ids) {
-        for (Long id : ids) {
-            SysDictDataEntity entity = baseDao.selectById(id);
-            // 删除Redis缓存
-            String dictType = baseDao.getTypeByTypeId(entity.getDictTypeId());
-            redisUtils.delete(RedisKeys.getDictDataByTypeKey(dictType));
-            // 删除
-            deleteById(id);
+        List<Long> idList = Arrays.asList(ids);
+        if (ToolUtil.isNotEmpty(idList)) {
+            //批量删除redis字典
+            List<String> redisKeyList = new ArrayList<>();
+            //批量获取字典类型
+            List<String> dictTypeList = Optional.ofNullable(baseDao.getDictTypesByIdList(idList)).orElseGet(ArrayList::new);
+            dictTypeList.forEach(dictType -> redisKeyList.add(RedisKeys.getDictDataByTypeKey(dictType)));
+            if (ToolUtil.isNotEmpty(redisKeyList)) {
+                //清除缓存
+                redisUtils.delete(redisKeyList);
+            }
+            //批量删除字典数据
+            deleteBatchIds(Arrays.asList(ids));
        }
    }

@@ -1,10 +1,6 @@
 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.*;
 import java.util.stream.Collectors;

 import org.apache.commons.lang3.StringUtils;
@@ -128,12 +124,14 @@ public class TimbreServiceImpl extends BaseServiceImpl<TimbreDao, TimbreEntity>
        if (StringUtils.isNotBlank(voiceName)) {
            queryWrapper.like("name", voiceName);
        }
-        List<TimbreEntity> timbreEntities = timbreDao.selectList(queryWrapper);
-        if (timbreEntities == null) {
-            timbreEntities = new ArrayList<>();
-        }
+        List<TimbreEntity> timbreEntities = Optional.ofNullable(timbreDao.selectList(queryWrapper)).orElseGet(ArrayList::new);
        List<VoiceDTO> voiceDTOs = timbreEntities.stream()
-                .map(entity -> new VoiceDTO(entity.getId(), entity.getName()))
+                .map(entity -> {
+                    VoiceDTO dto = new VoiceDTO(entity.getId(), entity.getName());
+                    dto.setVoiceDemo(entity.getVoiceDemo());
+                    dto.setIsClone(false); // 设置为普通音色
+                    return dto;
+                })
                .collect(Collectors.toList());

        // 获取当前登录用户ID
@@ -146,6 +144,9 @@ public class TimbreServiceImpl extends BaseServiceImpl<TimbreDao, TimbreEntity>
                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());
+                voiceDTO.setIsClone(true); // 设置为克隆音色
                redisUtils.set(RedisKeys.getTimbreNameById(voiceDTO.getId()), voiceDTO.getName(),
                        RedisUtils.NOT_EXPIRE);
                voiceDTOs.add(0, voiceDTO);
@@ -205,6 +206,10 @@ public class TimbreServiceImpl extends BaseServiceImpl<TimbreDao, TimbreEntity>
        if (list.isEmpty()) {
            return null;
        }
-        return new VoiceDTO(list.get(0).getId(), list.get(0).getName());
+        TimbreEntity entity = list.get(0);
+        VoiceDTO dto = new VoiceDTO(entity.getId(), entity.getName());
+        dto.setVoiceDemo(entity.getVoiceDemo());
+        dto.setIsClone(false); // 设置为普通音色
+        return dto;
    }
 }
@@ -83,6 +83,13 @@ public class VoiceCloneController {
                return new Result<String>().error(ErrorCode.VOICE_CLONE_NOT_AUDIO_FILE);
            }

+            // 加强验证文件扩展名
+            String originalFilename = voiceFile.getOriginalFilename();
+            String extension = originalFilename.substring(originalFilename.lastIndexOf(".")).toLowerCase();
+            if (!extension.equals(".mp3") && !extension.equals(".wav")) {
+                return new Result<String>().error("只允许上传.mp3和.wav格式的文件");
+            }
+
            // 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);
@@ -4,12 +4,8 @@ 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 java.util.*;
+import java.util.stream.Collectors;

 import org.apache.commons.lang3.StringUtils;
 import org.springframework.stereotype.Service;
@@ -30,8 +26,11 @@ import xiaozhi.common.page.PageData;
 import xiaozhi.common.service.impl.BaseServiceImpl;
 import xiaozhi.common.utils.ConvertUtils;
 import xiaozhi.common.utils.DateUtils;
+import xiaozhi.common.utils.ToolUtil;
 import xiaozhi.modules.model.entity.ModelConfigEntity;
 import xiaozhi.modules.model.service.ModelConfigService;
+import xiaozhi.modules.sys.dao.SysUserDao;
+import xiaozhi.modules.sys.entity.SysUserEntity;
 import xiaozhi.modules.sys.service.SysUserService;
 import xiaozhi.modules.voiceclone.dao.VoiceCloneDao;
 import xiaozhi.modules.voiceclone.dto.VoiceCloneDTO;
@@ -47,6 +46,7 @@ public class VoiceCloneServiceImpl extends BaseServiceImpl<VoiceCloneDao, VoiceC

    private final ModelConfigService modelConfigService;
    private final SysUserService sysUserService;
+    private final SysUserDao sysUserDao;
    private final ObjectMapper objectMapper;

    @Override
@@ -104,9 +104,11 @@ public class VoiceCloneServiceImpl extends BaseServiceImpl<VoiceCloneDao, VoiceC
            }
        }

+        // 批量保存
+        List<VoiceCloneEntity> batchInsertList = new ArrayList<>();
        // 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");
+        String namePrefix = DateUtils.format(new Date(), "MMddHHmm");
        for (String voiceId : dto.getVoiceIds()) {
            index++;
            VoiceCloneEntity entity = new VoiceCloneEntity();
@@ -115,8 +117,10 @@ public class VoiceCloneServiceImpl extends BaseServiceImpl<VoiceCloneDao, VoiceC
            entity.setName(namePrefix + "_" + index);
            entity.setUserId(dto.getUserId());
            entity.setTrainStatus(0); // 默认训练中
-
-            baseDao.insert(entity);
+            batchInsertList.add(entity);
+        }
+        if (ToolUtil.isNotEmpty(batchInsertList)) {
+            insertBatch(batchInsertList);
        }
    }

@@ -164,6 +168,9 @@ public class VoiceCloneServiceImpl extends BaseServiceImpl<VoiceCloneDao, VoiceC
        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;
    }
@@ -184,6 +191,11 @@ public class VoiceCloneServiceImpl extends BaseServiceImpl<VoiceCloneDao, VoiceC

        List<VoiceCloneResponseDTO> dtoList = new ArrayList<>(entityList.size());

+        // 获取用户名称ID集合
+        Set<Long> userIdList = entityList.stream().map(VoiceCloneEntity::getUserId).collect(Collectors.toSet());
+        List<SysUserEntity> userList = sysUserDao.selectList(new QueryWrapper<SysUserEntity>().in("id", userIdList));
+        Map<Long, String> userMap = userList.stream().collect(Collectors.toMap(SysUserEntity::getId, SysUserEntity::getUsername));
+
        // 转换每个实体为DTO
        for (VoiceCloneEntity entity : entityList) {
            VoiceCloneResponseDTO dto = ConvertUtils.sourceToTarget(entity, VoiceCloneResponseDTO.class);
@@ -195,8 +207,11 @@ public class VoiceCloneServiceImpl extends BaseServiceImpl<VoiceCloneDao, VoiceC

            // 设置用户名称
            if (entity.getUserId() != null) {
-                dto.setUserName(sysUserService.getByUserId(entity.getUserId()).getUsername());
+                dto.setUserName(userMap.get(entity.getUserId()));
            }
+            
+            // 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);
@@ -0,0 +1,17 @@
+-- 更新HuoshanDoubleStreamTTS供应器配置，增加开启链接复用选项
+UPDATE `ai_model_provider`
+SET fields = '[{"key": "ws_url", "type": "string", "label": "WebSocket地址"}, {"key": "appid", "type": "string", "label": "应用ID"}, {"key": "access_token", "type": "string", "label": "访问令牌"}, {"key": "resource_id", "type": "string", "label": "资源ID"}, {"key": "speaker", "type": "string", "label": "默认音色"}, {"key": "enable_ws_reuse", "type": "boolean", "label": "是否开启链接复用", "default": true}, {"key": "speech_rate", "type": "number", "label": "语速(-50~100)"}, {"key": "loudness_rate", "type": "number", "label": "音量(-50~100)"}, {"key": "pitch", "type": "number", "label": "音高(-12~12)"}]'
+WHERE id = 'SYSTEM_TTS_HSDSTTS';
+
+UPDATE `ai_model_config` SET 
+`doc_link` = 'https://console.volcengine.com/speech/service/10007',
+`remark` = '火山引擎语音合成服务配置说明：
+1. 访问 https://www.volcengine.com/ 注册并开通火山引擎账号
+2. 访问 https://console.volcengine.com/speech/service/10007 开通语音合成大模型，购买音色
+3. 在页面底部获取appid和access_token
+5. 资源ID固定为：volc.service_type.10029（大模型语音合成及混音）
+6. 链接复用：开启WebSocket连接复用，默认true减少链接损耗（注意：复用后设备处于聆听状态时空闲链接会占并发数）
+7. 语速：-50~100，可不填，正常默认值0，可填-50~100
+8. 音量：-50~100，可不填，正常默认值0，可填-50~100
+9. 音高：-12~12，可不填，正常默认值0，可填-12~12
+10. 填入配置文件中' WHERE `id` = 'TTS_HuoshanDoubleStreamTTS';
@@ -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');
@@ -0,0 +1 @@
+INSERT INTO `sys_params` (id, param_code, param_value, value_type, param_type, remark) VALUES (311, 'enable_websocket_ping', 'false', 'boolean', 1, '是否启用WebSocket心跳保活机制');
@@ -0,0 +1,2 @@
+-- 为智能体聊天历史记录添加音频ID索引
+ALTER TABLE ai_agent_chat_history ADD INDEX idx_ai_agent_chat_history_audio_id (audio_id);
@@ -0,0 +1,10 @@
+-- 更新豆包流式ASR供应器，增加end_window_size配置
+delete from `ai_model_provider` where id = 'SYSTEM_ASR_DoubaoStreamASR';
+INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `fields`, `sort`, `creator`, `create_date`, `updater`, `update_date`) VALUES
+('SYSTEM_ASR_DoubaoStreamASR', 'ASR', 'doubao_stream', '火山引擎语音识别(流式)', '[{"key":"appid","label":"应用ID","type":"string"},{"key":"access_token","label":"访问令牌","type":"string"},{"key":"cluster","label":"集群","type":"string"},{"key":"boosting_table_name","label":"热词文件名称","type":"string"},{"key":"correct_table_name","label":"替换词文件名称","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"end_window_size","label":"静音判定时长(ms)","type":"number"}]', 3, 1, NOW(), 1, NOW());
+
+
+-- 更新豆包流式ASR模型配置，增加end_window_size默认值
+UPDATE `ai_model_config` SET
+`config_json` = JSON_SET(`config_json`, '$.end_window_size', 200)
+WHERE `id` = 'ASR_DoubaoStreamASR' AND JSON_EXTRACT(`config_json`, '$.end_window_size') IS NULL;
@@ -0,0 +1,94 @@
+-- 添加阿里百炼Paraformer实时语音识别服务配置
+delete from `ai_model_provider` where id = 'SYSTEM_ASR_AliyunBLStream';
+INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `fields`, `sort`, `creator`, `create_date`, `updater`, `update_date`) VALUES
+('SYSTEM_ASR_AliyunBLStream', 'ASR', 'aliyunbl_stream', '阿里百炼Paraformer实时语音识别', '[{"key":"api_key","label":"API密钥","type":"password"},{"key":"model","label":"模型名称","type":"string"},{"key":"format","label":"音频格式","type":"string"},{"key":"sample_rate","label":"采样率","type":"number"},{"key":"output_dir","label":"输出目录","type":"string"}]', 18, 1, NOW(), 1, NOW());
+
+delete from `ai_model_config` where id = 'ASR_AliyunBLStream';
+INSERT INTO `ai_model_config` VALUES ('ASR_AliyunBLStream', 'ASR', 'AliyunBLStream', '阿里百炼Paraformer实时语音识别', 0, 1, '{"type": "aliyunbl_stream", "api_key": "", "model": "paraformer-realtime-v2", "format": "pcm", "sample_rate": 16000, "disfluency_removal_enabled": false, "semantic_punctuation_enabled": false, "max_sentence_silence": 200, "multi_threshold_mode_enabled": false, "punctuation_prediction_enabled": true, "inverse_text_normalization_enabled": true, "output_dir": "tmp/"}', 'https://help.aliyun.com/zh/model-studio/websocket-for-paraformer-real-time-service', '支持多语言、热词定制、语义断句等高级功能', 21, NULL, NULL, NULL, NULL);
+
+-- 更新阿里百炼Paraformer模型配置的说明文档
+UPDATE `ai_model_config` SET
+`doc_link` = 'https://help.aliyun.com/zh/model-studio/websocket-for-paraformer-real-time-service',
+`remark` = '阿里百炼Paraformer实时语音识别配置说明：
+1. 登录阿里云百炼平台 https://bailian.console.aliyun.com/
+2. 创建API-KEY https://bailian.console.aliyun.com/#/api-key
+3. 支持模型：paraformer-realtime-v2(推荐)、paraformer-realtime-8k-v2、paraformer-realtime-v1、paraformer-realtime-8k-v1
+4. 功能特性：
+   - 多语言支持(中文含方言、英文、日语、韩语、德语、法语、俄语)
+   - 热词定制(vocabulary_id参数)，详细说明请参考：https://help.aliyun.com/zh/model-studio/custom-hot-words?
+   - 语义断句/VAD断句(semantic_punctuation_enabled参数)
+   - 自动标点符号、ITN、过滤语气词等
+5. 参数说明：
+   - model: 模型名称，推荐paraformer-realtime-v2
+   - sample_rate: 采样率(Hz)，v2支持任意采样率，v1仅支持16000，8k版本仅支持8000
+   - semantic_punctuation_enabled: false为VAD断句(低延迟)，true为语义断句(高准确)
+   - max_sentence_silence: VAD断句静音时长阈值(200-6000ms)
+' WHERE `id` = 'ASR_AliyunBLStream';
+
+
+-- 更新豆包流式ASR供应器，增加配置
+delete from `ai_model_provider` where id = 'SYSTEM_ASR_DoubaoStreamASR';
+INSERT INTO `ai_model_provider` (`id`, `model_type`, `provider_code`, `name`, `fields`, `sort`, `creator`, `create_date`, `updater`, `update_date`) VALUES
+('SYSTEM_ASR_DoubaoStreamASR', 'ASR', 'doubao_stream', '火山引擎语音识别(流式)', '[{"key":"appid","label":"应用ID","type":"string"},{"key":"access_token","label":"访问令牌","type":"string"},{"key":"cluster","label":"集群","type":"string"},{"key":"boosting_table_name","label":"热词文件名称","type":"string"},{"key":"correct_table_name","label":"替换词文件名称","type":"string"},{"key":"output_dir","label":"输出目录","type":"string"},{"key":"end_window_size","label":"静音判定时长(ms)","type":"number"},{"key":"enable_multilingual","label":"是否开启多语种识别模式","type":"boolean"},{"key":"language","label":"指定语言编码","type":"string"}]', 3, 1, NOW(), 1, NOW());
+UPDATE `ai_model_config` SET 
+`remark` = '豆包ASR配置说明：
+1. 豆包ASR和豆包(流式)ASR的区别是：豆包ASR是按次收费，豆包(流式)ASR是按时收费
+2. 一般来说按次收费的更便宜，但是豆包(流式)ASR使用了大模型技术，效果更好
+3. 需要在火山引擎控制台创建应用并获取appid和access_token
+4. 支持中文语音识别
+5. 需要网络连接
+6. 输出文件保存在tmp/目录
+申请步骤：
+1. 访问 https://console.volcengine.com/speech/app
+2. 创建新应用
+3. 获取appid和access_token
+4. 填入配置文件中
+如需设置热词，请参考：https://www.volcengine.com/docs/6561/155738
+如开启多语种识别模式，请设置language当该键为空时，该模型支持中英文、上海话、闽南语，四川、陕西、粤语识别。其他语种请参考：https://www.volcengine.com/docs/6561/1354869
+' WHERE `id` = 'ASR_DoubaoStreamASR';
+
+-- 更新豆包流式ASR模型配置，增加enable_multilingual默认值
+UPDATE `ai_model_config` SET
+`config_json` = JSON_SET(
+    `config_json`, 
+    '$.enable_multilingual', false,
+    '$.language', 'zh-CN'
+)
+WHERE `id` = 'ASR_DoubaoStreamASR' 
+AND JSON_EXTRACT(`config_json`, '$.enable_multilingual') IS NULL 
+AND JSON_EXTRACT(`config_json`, '$.language') IS NULL;
+
+
+-- 更新HuoshanDoubleStreamTTS供应器配置，增加多情感音色参数
+UPDATE `ai_model_provider`
+SET `fields` = '[{"key": "ws_url", "type": "string", "label": "WebSocket地址"}, {"key": "appid", "type": "string", "label": "应用ID"}, {"key": "access_token", "type": "string", "label": "访问令牌"}, {"key": "resource_id", "type": "string", "label": "资源ID"}, {"key": "speaker", "type": "string", "label": "默认音色"}, {"key": "enable_ws_reuse", "type": "boolean", "label": "是否开启链接复用", "default": true}, {"key": "speech_rate", "type": "number", "label": "语速(-50~100)"}, {"key": "loudness_rate", "type": "number", "label": "音量(-50~100)"}, {"key": "pitch", "type": "number", "label": "音高(-12~12)"}, {"key": "emotion_scale", "type": "number", "label": "情感强度(1-5)"}, {"key": "emotion", "type": "string", "label": "情感类型"}]'
+WHERE `id` = 'SYSTEM_TTS_HSDSTTS';
+
+-- 更新默认值
+UPDATE `ai_model_config` SET
+`config_json` = JSON_SET(
+    `config_json`,
+    '$.emotion', 'neutral',
+    '$.emotion_scale', 4
+)
+WHERE `id` = 'TTS_HuoshanDoubleStreamTTS'
+AND JSON_EXTRACT(`config_json`, '$.emotion') IS NULL 
+AND JSON_EXTRACT(`config_json`, '$.emotion_scale') IS NULL;
+
+-- 增加文档链接和备注
+UPDATE `ai_model_config` SET 
+`doc_link` = 'https://console.volcengine.com/speech/service/10007',
+`remark` = '火山引擎语音合成服务配置说明：
+1. 访问 https://www.volcengine.com/ 注册并开通火山引擎账号
+2. 访问 https://console.volcengine.com/speech/service/10007 开通语音合成大模型，购买音色
+3. 在页面底部获取appid和access_token
+5. 资源ID固定为：volc.service_type.10029（大模型语音合成及混音）
+6. 链接复用：开启WebSocket连接复用，默认true减少链接损耗（注意：复用后设备处于聆听状态时空闲链接会占并发数）
+7. 语速：-50~100，可不填，正常默认值0，可填-50~100
+8. 音量：-50~100，可不填，正常默认值0，可填-50~100
+9. 音高：-12~12，可不填，正常默认值0，可填-12~12
+10. 多情感参数（当前仅部分音色支持设置情感）：
+   相关音色列表：https://www.volcengine.com/docs/6561/1257544
+    - emotion_scale：情感强度，可选值为：1~5，默认值为4
+    - emotion：情感类型，可选值为：neutral、happy、sad、angry、fearful、disgusted、surprised
+' WHERE `id` = 'TTS_HuoshanDoubleStreamTTS';
@@ -0,0 +1,11 @@
+-- 更改FunASRServer说明文档模型为SenseVoiceSmall
+UPDATE `ai_model_config` SET 
+`doc_link` = 'https://github.com/modelscope/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md',
+`remark` = '独立部署FunASR，使用FunASR的API服务，只需要五句话
+第一句：mkdir -p ./funasr-runtime-resources/models
+第二句：sudo docker run -d -p 10096:10095 --privileged=true -v $PWD/funasr-runtime-resources/models:/workspace/models registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
+上一句话执行后会进入到容器，继续第三句：cd FunASR/runtime
+不要退出容器，继续在容器中执行第四句：nohup bash run_server_2pass.sh --download-model-dir /workspace/models --vad-dir damo/speech_fsmn_vad_zh-cn-16k-common-onnx --model-dir iic/SenseVoiceSmall-onnx  --online-model-dir damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-online-onnx  --punc-dir damo/punc_ct-transformer_zh-cn-common-vad_realtime-vocab272727-onnx --lm-dir damo/speech_ngram_lm_zh-cn-ai-wesp-fst --itn-dir thuduj12/fst_itn_zh --hotword /workspace/models/hotwords.txt > log.txt 2>&1 &
+上一句话执行后会进入到容器，继续第五句：tail -f log.txt
+第五句话执行完后，会看到模型下载日志，下载完后就可以连接使用了
+以上是使用CPU推理，如果有GPU，详细参考：https://github.com/modelscope/FunASR/blob/main/runtime/docs/SDK_advanced_guide_online_zh.md' WHERE `id` = 'ASR_FunASRServer';
@@ -0,0 +1,31 @@
+-- 批量清理 ai_model_provider 中的 sample_rate 字段定义
+UPDATE `ai_model_provider` ap
+JOIN (
+    SELECT 
+        id,
+        JSON_ARRAYAGG(
+            JSON_OBJECT('key', jt.k, 'label', jt.l, 'type', jt.t)
+        ) AS new_fields
+    FROM `ai_model_provider`,
+         JSON_TABLE(`fields`, '$[*]' COLUMNS (
+             k VARCHAR(50) PATH '$.key',
+             l VARCHAR(100) PATH '$.label',
+             t VARCHAR(20) PATH '$.type'
+         )) AS jt
+    WHERE `model_type` = 'TTS' 
+      AND jt.k != 'sample_rate'
+    GROUP BY id
+) filtered ON ap.id = filtered.id
+SET ap.fields = filtered.new_fields;
+
+-- 清理 config_json 顶层的 sample_rate
+UPDATE `ai_model_config`
+SET `config_json` = JSON_REMOVE(`config_json`, '$.sample_rate')
+WHERE `model_type` = 'TTS'
+  AND JSON_EXTRACT(`config_json`, '$.sample_rate') IS NOT NULL;
+
+-- 清理Minimax流式TTS的sample_rate参数（位于audio_setting内部）
+UPDATE `ai_model_config` SET 
+`config_json` = JSON_SET(`config_json`, '$.audio_setting', JSON_REMOVE(JSON_EXTRACT(`config_json`, '$.audio_setting'), '$.sample_rate'))
+WHERE `id` = 'TTS_MinimaxStreamTTS'
+AND JSON_EXTRACT(`config_json`, '$.audio_setting.sample_rate') IS NOT NULL;
@@ -0,0 +1,87 @@
+-- 更新HuoshanDoubleStreamTTS供应器配置，将分散的参数改为JSON字典配置
+-- 将 speech_rate, loudness_rate, pitch, emotion, emotion_scale 等参数整合为 audio_params, additions, mix_speaker 三个JSON字典
+
+UPDATE `ai_model_provider`
+SET `fields` = '[
+  {"key": "ws_url", "type": "string", "label": "WebSocket地址"},
+  {"key": "appid", "type": "string", "label": "应用ID"},
+  {"key": "access_token", "type": "string", "label": "访问令牌"},
+  {"key": "resource_id", "type": "string", "label": "资源ID"},
+  {"key": "speaker", "type": "string", "label": "默认音色"},
+  {"key": "enable_ws_reuse", "type": "boolean", "label": "是否开启链接复用", "default": true},
+  {"key": "audio_params", "type": "dict", "label": "音频输出配置"},
+  {"key": "additions", "type": "dict", "label": "高级文本处理配置"},
+  {"key": "mix_speaker", "type": "dict", "label": "混音控制配置"}
+]'
+WHERE `id` = 'SYSTEM_TTS_HSDSTTS';
+
+-- 更新现有配置，将旧的分散参数迁移到新的JSON字典结构
+UPDATE `ai_model_config`
+SET `config_json` = JSON_SET(
+    `config_json`,
+    '$.audio_params', JSON_OBJECT(
+        'speech_rate', CAST(COALESCE(NULLIF(JSON_UNQUOTE(JSON_EXTRACT(`config_json`, '$.speech_rate')), ''), '0') AS SIGNED),
+        'loudness_rate', CAST(COALESCE(NULLIF(JSON_UNQUOTE(JSON_EXTRACT(`config_json`, '$.loudness_rate')), ''), '0') AS SIGNED)
+    ),
+    '$.additions', JSON_OBJECT(
+        'aigc_metadata', JSON_OBJECT(),
+        'cache_config', JSON_OBJECT(),
+        'post_process', JSON_OBJECT(
+            'pitch', CAST(COALESCE(NULLIF(JSON_UNQUOTE(JSON_EXTRACT(`config_json`, '$.pitch')), ''), '0') AS SIGNED)
+        )
+    ),
+    '$.mix_speaker', JSON_OBJECT()
+)
+WHERE `id` = 'TTS_HuoshanDoubleStreamTTS';
+
+-- 删除旧的分散参数字段
+UPDATE `ai_model_config`
+SET `config_json` = JSON_REMOVE(
+    `config_json`,
+    '$.speech_rate',
+    '$.loudness_rate',
+    '$.pitch',
+    '$.emotion',
+    '$.emotion_scale'
+)
+WHERE `id` = 'TTS_HuoshanDoubleStreamTTS';
+
+-- 更新文档链接和备注说明
+UPDATE `ai_model_config` SET
+`doc_link` = 'https://www.volcengine.com/docs/6561/1329505',
+`remark` = '火山引擎双向流式TTS配置说明：
+1. 访问 https://www.volcengine.com/ 注册并开通火山引擎账号
+2. 访问 https://console.volcengine.com/speech/service/10007 开通语音合成大模型，购买音色
+3. 在页面底部获取appid和access_token
+4. 资源ID固定为：volc.service_type.10029（大模型语音合成及混音）
+5. 链接复用：开启WebSocket连接复用，默认true减少链接损耗（注意：复用后设备处于聆听状态时空闲链接会占并发数）
+
+详细参数文档：https://www.volcengine.com/docs/6561/1329505
+【audio_params】音频输出配置 - 用户可自定义添加火山引擎支持的任何音频参数
+  - speech_rate: 语速(-50~100)，默认0
+  - loudness_rate: 音量(-50~100)，默认0
+  - emotion: 情感类型（仅部分音色支持），可选值：neutral、happy、sad、angry、fearful、disgusted、surprised
+  - emotion_scale: 情感强度(1~5)，默认4
+  示例：{"speech_rate": 10, "loudness_rate": 5, "emotion": "happy", "emotion_scale": 4}
+
+【additions】高级文本处理配置 - 用户可自定义添加火山引擎支持的任何高级参数
+  - post_process.pitch: 音高(-12~12)，默认0
+  - aigc_metadata: AIGC元数据配置
+  - cache_config: 缓存配置
+  示例：{"post_process": {"pitch": 2}, "aigc_metadata": {}, "cache_config": {}}
+
+【mix_speaker】混音控制配置 - 多音色混合（仅 TTS 1.0）
+  示例：
+    {"speakers": [
+      {"source_speaker": "zh_male_bvlazysheep","mix_factor": 0.3}, 
+      {"source_speaker": "BV120_streaming","mix_factor": 0.3}, 
+      {"source_speaker": "zh_male_ahu_conversation_wvae_bigtts","mix_factor": 0.4}
+    ]}
+
+注意：
+- 多情感音色参数（emotion、emotion_scale）仅部分音色支持
+- 相关音色列表：https://www.volcengine.com/docs/6561/1257544
+- 用户可根据火山引擎API文档自行添加更多参数
+- 混音功能主要适用于豆包语音合成模型1.0的音色，使用时需要将req_params.speaker设置为custom_mix_bigtts
+'
+WHERE `id` = 'TTS_HuoshanDoubleStreamTTS';
@@ -0,0 +1,14 @@
+-- 更新小智参数中的默认采样率从 16000 改为 24000
+UPDATE `sys_params`
+SET `param_value` = '{
+  "type": "hello",
+  "version": 1,
+  "transport": "websocket",
+  "audio_params": {
+    "format": "opus",
+    "sample_rate": 24000,
+    "channels": 1,
+    "frame_duration": 60
+  }
+}'
+WHERE `id` = 309 AND `param_code` = 'xiaozhi';
@@ -423,3 +423,88 @@ databaseChangeLog:
        - sqlFile:
            encoding: utf8
            path: classpath:db/changelog/202511131023.sql
+  - changeSet:
+      id: 202511221450
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202511221450.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
+  - changeSet:
+      id: 202512161529
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512161529.sql
+  - changeSet:
+      id: 202512192245
+      author: hrz
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512192245.sql
+  - changeSet:
+      id: 202512221117
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512221117.sql
+  - changeSet:
+      id: 202512301430
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202512301430.sql
+  - changeSet:
+      id: 202601051433
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202601051433.sql
+  - changeSet:
+      id: 202601141645
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202601141645.sql
+  - changeSet:
+      id: 202601231530
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202601231530.sql
+  - changeSet:
+      id: 202601261730
+      author: RanChen
+      changes:
+        - sqlFile:
+            encoding: utf8
+            path: classpath:db/changelog/202601261730.sql
@@ -189,4 +189,16 @@
 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
+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
+10193=\u8BBE\u5907ID\u4E0D\u80FD\u4E3A\u7A7A
+10194=\u8BBE\u5907\u4E0D\u5B58\u5728\u6216\u4E0D\u5728\u7EBF
+10195=OTA\u4E0A\u4F20\u6B21\u6570\u8D85\u8FC7\u9650\u5236
@@ -8,23 +8,23 @@
 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
+10007=Der Best\u00E4tigungscode ist falsch
+10008=Zuerst Untermen\u00FC oder Schaltfl\u00E4che l\u00F6schen
+10009=Das urspr\u00FCngliche Passwort ist falsch
+10010=Das Konto oder Passwort ist falsch, Sie k\u00F6nnen es noch {0} Mal versuchen

-10011=Die übergeordnete Abteilung hat eine falsche Wahl getroffen
-10012=Oberes Menü kann nicht sich selbst sein
+10011=Die \u00FCbergeordnete Abteilung hat eine falsche Wahl getroffen
+10012=Oberes Men\u00FC 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
+10014=Bitte l\u00F6schen Sie zuerst die untergeordnete Abteilung
+10015=Bitte l\u00F6schen Sie zuerst den Benutzer unter der Abteilung
 10016=Bereitstellung fehlgeschlagen, kein Prozess
-10017=Das ModellDiagramm ist falsch, bitte überprüfen
+10017=Das ModellDiagramm ist falsch, bitte \u00FCberpr\u00FCfen
 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
+10021=Token ist ung\u00FCltig, bitte melden Sie sich erneut an
 10022=Das Konto wurde gesperrt
 10023=Bitte laden Sie Dateien im Format zip, bar, bpmn, bpmn20.xml hoch

@@ -37,25 +37,25 @@
 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
+10031=Das Passwort muss gleichzeitig aus Zahlen, Gro\u00DF- und Kleinbuchstaben sowie Sonderzeichen bestehen
+10032=Ausnahme beim L\u00F6schen dieser Daten
+10033=Ger\u00E4tebest\u00E4tigungscode Fehler

 10034=Parameterwert darf nicht leer sein
 10035=Parametertyp darf nicht leer sein
-10036=Nicht unterstützter Parametertyp
-10037=Parameterwert muss eine gültige Zahl sein
+10036=Nicht unterst\u00FCtzter Parametertyp
+10037=Parameterwert muss eine g\u00FCltige 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
+10039=Parameterwert muss ein g\u00FCltiges JSON-Array-Format sein
+10040=Parameterwert muss ein g\u00FCltiges JSON-Format sein

-10041=Gerät nicht gefunden
+10041=Ger\u00E4t nicht gefunden
 10042={0}
-10043=Löschen der Daten fehlgeschlagen
+10043=L\u00F6schen der Daten fehlgeschlagen
 10044=Benutzer nicht angemeldet
-10045=WebSocket-Verbindung fehlgeschlagen oder Zeitüberschreitung
+10045=WebSocket-Verbindung fehlgeschlagen oder Zeit\u00FCberschreitung
 10046=Stimmabdruck speichern fehlgeschlagen, bitte Administrator kontaktieren
-10047=Tägliches SendeLimit erreicht
+10047=T\u00E4gliches SendeLimit erreicht
 10048=Altes Passwort ist falsch
 10049=Das eingestellte LLM ist nicht openai oder ollama
 10050=Token-Generierung fehlgeschlagen
@@ -65,45 +65,45 @@
 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
+10057=Stimmabdruck f\u00FCr Agent konnte nicht erstellt werden
+10058=Stimmabdruck f\u00FCr Agent konnte nicht aktualisiert werden
+10059=Stimmabdruck f\u00FCr Agent konnte nicht gel\u00F6scht werden
+10060=Sendung zu h\u00E4ufig, bitte versuchen Sie es nach {0} Sekunden erneut
 10061=Aktivierungscode darf nicht leer sein
 10062=Aktivierungscode Fehler
-10063=Gerät bereits aktiviert
+10063=Ger\u00E4t bereits aktiviert
 10064=Dieses Modell ist das Standardmodell, bitte setzen Sie zuerst ein anderes Modell als Standard
-10065=Hinzufügen der Daten fehlgeschlagen
+10065=Hinzuf\u00FCgen der Daten fehlgeschlagen
 10066=Aktualisieren der Daten fehlgeschlagen
-10067=Grafischer Bestätigungscode Fehler
-10068=Mobilregistrierung nicht aktiviert, SMS-Bestätigungscode-Funktion kann nicht verwendet werden
+10067=Grafischer Best\u00E4tigungscode Fehler
+10068=Mobilregistrierung nicht aktiviert, SMS-Best\u00E4tigungscode-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
+10075=Der eingegebene SMS-Best\u00E4tigungscode ist falsch
+10076=W\u00F6rterbuchtyp existiert nicht
+10077=W\u00F6rterbuchtypcode 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
+10079=LLM-Modell und Absichtserkennung, Parameterauswahl stimmt nicht \u00FCberein
+10080=Dieser Stimmabdruck geh\u00F6rt zu {0}, der bereits registriert ist, bitte w\u00E4hlen Sie eine andere Stimme
+10081=Fehler beim L\u00F6schen des Stimmabdrucks aufgetreten
+10082=\u00C4nderung nicht erlaubt, diese Stimme wurde bereits als Stimmabdruck registriert ({0})
+10083=Fehler beim \u00C4ndern des Stimmabdrucks, bitte Administrator kontaktieren
+10084=Stimmabdruck-Schnittstellenadresse Fehler, bitte gehen Sie zur Parameterverwaltung, um die Stimmabdruck-Schnittstellenadresse zu \u00E4ndern
+10085=Audiodaten geh\u00F6ren nicht zu diesem Agent
+10086=Audiodaten sind leer, bitte \u00FCberpr\u00FCfen 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
+10093=Diese Modellkonfiguration wird von Agent {0} referenziert und kann nicht gel\u00F6scht werden
+10094=Dieses LLM-Modell wird von der Absichtserkennungskonfiguration referenziert und kann nicht gel\u00F6scht werden
+10095=Ung\u00FCltige Serveroperation
 10096=Server WebSocket-Adresse nicht konfiguriert
 10097=Ziel-WebSocket-Adresse existiert nicht
 10098=WebSocket-Adressliste darf nicht leer sein
@@ -115,47 +115,47 @@
 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
+10107=OTA-Schnittstelle R\u00FCckgabeinhaltformat 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
+10111=Keine g\u00FCltige MCP-Adresse
 10112=MCP-Schnittstellenzugriff fehlgeschlagen
-10113=MCP-Schnittstelle Rückgabeinhaltformat ist falsch
+10113=MCP-Schnittstelle R\u00FCckgabeinhaltformat 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
+10117=Keine g\u00FCltige Stimmabdruck-Schnittstellenadresse
 10118=Stimmabdruck-Schnittstellenadresse muss mit http oder https beginnen
 10119=Stimmabdruck-Schnittstellenzugriff fehlgeschlagen
-10120=Stimmabdruck-Schnittstelle Rückgabeinhaltformat ist falsch
+10120=Stimmabdruck-Schnittstelle R\u00FCckgabeinhaltformat 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
+10123=Ihr MQTT-Geheimnis ist nicht sicher, es muss mindestens 8 Zeichen lang sein und muss sowohl Gro\u00DF- als auch Kleinbuchstaben enthalten
+10124=Ihr MQTT-Geheimnis ist nicht sicher, MQTT-Geheimnis muss sowohl Gro\u00DF- als auch Kleinbuchstaben enthalten
+10125=Ihr MQTT-Geheimnis enth\u00E4lt schwaches Passwort
+10128=W\u00F6rterbuchlabel ist dupliziert
+10129=SM2-Schl\u00FCssel nicht konfiguriert
+10130=SM2-Entschl\u00FCsselung fehlgeschlagen
+10131=modelType und provideCode d\u00FCrfen 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
+10136=Download-Link abgelaufen oder ung\u00FCltig
+10137=Download-Link ung\u00FCltig
 10138=Benutzer
 10139=Agent
 10140=Audio-Datei darf nicht leer sein
-10141=Nur Audio-Dateien werden unterstützt
-10142=Audio-Dateigröße darf 10MB nicht überschreiten
+10141=Nur Audio-Dateien werden unterst\u00FCtzt
+10142=Audio-Dateigr\u00F6\u00DFe darf 10MB nicht \u00FCberschreiten
 10143=Upload fehlgeschlagen
 10144=Stimmenklon-Datensatz existiert nicht
-10145=Stimmressourceninformationen dürfen nicht leer sein
+10145=Stimmressourceninformationen d\u00FCrfen 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
+10149=Zu l\u00F6schende 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
@@ -179,14 +179,26 @@
 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
+10173=RAG-Konfiguration api_key darf keinen Platzhalter enthalten, bitte ersetzen Sie mit tats\u00E4chlichem API-Schl\u00FCssel
 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
+10178=RAG-Konfiguration dataset_id und model_id d\u00FCrfen 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
+10183=Standard-Agent-Vorlage nicht gefunden
+10184=Nicht unterst\u00FCtzter 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
+10193=Adapter-ID darf nicht leer sein
+10194=Adapter nicht gefunden oder nicht online
+10195=OTA-Upload-Anzahl \u00FCberschreitet das Limit
@@ -189,4 +189,16 @@
 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
+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
+10193=Device ID cannot be empty
+10194=Device not found or not online
+10195=OTA upload times exceed the limit
@@ -1,192 +1,204 @@
-#Tiếng Việt
-500=Ngoại lệ nội bộ máy chủ
-401=Không được ủy quyền
-403=Truy cập bị từ chối, không có quyền
-10001={0} không thể để trống
-10002=Bản ghi đã tồn tại trong cơ sở dữ liệu
-10003=Không thể lấy tham số
-10004=Số tài khoản hoặc mật khẩu không chính xác
-10005=Tài khoản đã bị vô hiệu hóa
-10006=ID duy nhất không thể để trống
-10007=Mã xác minh không chính xác
-10008=Trước tiên hãy xóa menu con hoặc nút
-10009=Mật khẩu gốc không chính xác
-10010=Tài khoản hoặc mật khẩu không chính xác, bạn có thể thử thêm {0} lần nữa
+#Ti\u1EBFng Vi\u1EC7t
+500=Ngo\u1EA1i l\u1EC7 n\u1ED9i b\u1ED9 m\u00E1y ch\u1EE7
+401=Kh\u00F4ng \u0111\u01B0\u1EE3c \u1EE7y quy\u1EC1n
+403=Truy c\u1EADp b\u1ECB t\u1EEB ch\u1ED1i, kh\u00F4ng c\u00F3 quy\u1EC1n
+10001={0} kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10002=B\u1EA3n ghi \u0111\u00E3 t\u1ED3n t\u1EA1i trong c\u01A1 s\u1EDF d\u1EEF li\u1EC7u
+10003=Kh\u00F4ng th\u1EC3 l\u1EA5y tham s\u1ED1
+10004=S\u1ED1 t\u00E0i kho\u1EA3n ho\u1EB7c m\u1EADt kh\u1EA9u kh\u00F4ng ch\u00EDnh x\u00E1c
+10005=T\u00E0i kho\u1EA3n \u0111\u00E3 b\u1ECB v\u00F4 hi\u1EC7u h\u00F3a
+10006=ID duy nh\u1EA5t kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10007=M\u00E3 x\u00E1c minh kh\u00F4ng ch\u00EDnh x\u00E1c
+10008=Tr\u01B0\u1EDBc ti\u00EAn h\u00E3y x\u00F3a menu con ho\u1EB7c n\u00FAt
+10009=M\u1EADt kh\u1EA9u g\u1ED1c kh\u00F4ng ch\u00EDnh x\u00E1c
+10010=T\u00E0i kho\u1EA3n ho\u1EB7c m\u1EADt kh\u1EA9u kh\u00F4ng ch\u00EDnh x\u00E1c, b\u1EA1n c\u00F3 th\u1EC3 th\u1EED th\u00EAm {0} l\u1EA7n n\u1EEFa

-10011=Phòng ban cấp trên đã lựa chọn sai
-10012=Menu trên không thể là chính nó
-10013=Giao diện quyền dữ liệu, chỉ có thể là tham số kiểu Map
-10014=Vui lòng xóa phòng ban cấp dưới trước
-10015=Vui lòng xóa người dùng thuộc phòng ban trước
-10016=Triển khai thất bại, không có quy trình
-10017=Biểu đồ mô hình không chính xác, vui lòng kiểm tra
-10018=Xuất thất bại, ID mô hình là {0}
+10011=Ph\u00F2ng ban c\u1EA5p tr\u00EAn \u0111\u00E3 l\u1EF1a ch\u1ECDn sai
+10012=Menu tr\u00EAn kh\u00F4ng th\u1EC3 l\u00E0 ch\u00EDnh n\u00F3
+10013=Giao di\u1EC7n quy\u1EC1n d\u1EEF li\u1EC7u, ch\u1EC9 c\u00F3 th\u1EC3 l\u00E0 tham s\u1ED1 ki\u1EC3u Map
+10014=Vui l\u00F2ng x\u00F3a ph\u00F2ng ban c\u1EA5p d\u01B0\u1EDBi tr\u01B0\u1EDBc
+10015=Vui l\u00F2ng x\u00F3a ng\u01B0\u1EDDi d\u00F9ng thu\u1ED9c ph\u00F2ng ban tr\u01B0\u1EDBc
+10016=Tri\u1EC3n khai th\u1EA5t b\u1EA1i, kh\u00F4ng c\u00F3 quy tr\u00ECnh
+10017=Bi\u1EC3u \u0111\u1ED3 m\u00F4 h\u00ECnh kh\u00F4ng ch\u00EDnh x\u00E1c, vui l\u00F2ng ki\u1EC3m tra
+10018=Xu\u1EA5t th\u1EA5t b\u1EA1i, ID m\u00F4 h\u00ECnh l\u00E0 {0}

-10019=Vui lòng tải lên tệp
-10020=Token không thể để trống
-10021=Token không hợp lệ, vui lòng đăng nhập lại
-10022=Tài khoản đã bị khóa
-10023=Vui lòng tải lên tệp ở định dạng zip, bar, bpmn, bpmn20.xml
+10019=Vui l\u00F2ng t\u1EA3i l\u00EAn t\u1EC7p
+10020=Token kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10021=Token kh\u00F4ng h\u1EE3p l\u1EC7, vui l\u00F2ng \u0111\u0103ng nh\u1EADp l\u1EA1i
+10022=T\u00E0i kho\u1EA3n \u0111\u00E3 b\u1ECB kh\u00F3a
+10023=Vui l\u00F2ng t\u1EA3i l\u00EAn t\u1EC7p \u1EDF \u0111\u1ECBnh d\u1EA1ng zip, bar, bpmn, bpmn20.xml

-10024=Tải lên tệp {0} thất bại
-10025=Gửi SMS {0} thất bại
-10026=Mẫu email không tồn tại
+10024=T\u1EA3i l\u00EAn t\u1EC7p {0} th\u1EA5t b\u1EA1i
+10025=G\u1EEDi SMS {0} th\u1EA5t b\u1EA1i
+10026=M\u1EABu email kh\u00F4ng t\u1ED3n t\u1EA1i

-10027=Ngoại lệ dịch vụ Redis
-10028=Tác vụ hẹn giờ thất bại
-10029=Không thể chứa ký tự không hợp lệ
+10027=Ngo\u1EA1i l\u1EC7 d\u1ECBch v\u1EE5 Redis
+10028=T\u00E1c v\u1EE5 h\u1EB9n gi\u1EDD th\u1EA5t b\u1EA1i
+10029=Kh\u00F4ng th\u1EC3 ch\u1EE9a k\u00FD t\u1EF1 kh\u00F4ng h\u1EE3p l\u1EC7

-10030=Mật khẩu ít hơn {0} chữ số
-10031=Mật khẩu phải bao gồm số, chữ hoa, chữ thường và ký tự đặc biệt cùng một lúc
-10032=Ngoại lệ khi xóa dữ liệu này
-10033=Lỗi mã xác minh thiết bị
+10030=M\u1EADt kh\u1EA9u \u00EDt h\u01A1n {0} ch\u1EEF s\u1ED1
+10031=M\u1EADt kh\u1EA9u ph\u1EA3i bao g\u1ED3m s\u1ED1, ch\u1EEF hoa, ch\u1EEF th\u01B0\u1EDDng v\u00E0 k\u00FD t\u1EF1 \u0111\u1EB7c bi\u1EC7t c\u00F9ng m\u1ED9t l\u00FAc
+10032=Ngo\u1EA1i l\u1EC7 khi x\u00F3a d\u1EEF li\u1EC7u n\u00E0y
+10033=L\u1ED7i m\u00E3 x\u00E1c minh thi\u1EBFt b\u1ECB

-10034=Giá trị tham số không thể để trống
-10035=Loại tham số không thể để trống
-10036=Loại tham số không được hỗ trợ
-10037=Giá trị tham số phải là số hợp lệ
-10038=Giá trị tham số phải là true hoặc false
-10039=Giá trị tham số phải là định dạng mảng JSON hợp lệ
-10040=Giá trị tham số phải là định dạng JSON hợp lệ
+10034=Gi\u00E1 tr\u1ECB tham s\u1ED1 kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10035=Lo\u1EA1i tham s\u1ED1 kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10036=Lo\u1EA1i tham s\u1ED1 kh\u00F4ng \u0111\u01B0\u1EE3c h\u1ED7 tr\u1EE3
+10037=Gi\u00E1 tr\u1ECB tham s\u1ED1 ph\u1EA3i l\u00E0 s\u1ED1 h\u1EE3p l\u1EC7
+10038=Gi\u00E1 tr\u1ECB tham s\u1ED1 ph\u1EA3i l\u00E0 true ho\u1EB7c false
+10039=Gi\u00E1 tr\u1ECB tham s\u1ED1 ph\u1EA3i l\u00E0 \u0111\u1ECBnh d\u1EA1ng m\u1EA3ng JSON h\u1EE3p l\u1EC7
+10040=Gi\u00E1 tr\u1ECB tham s\u1ED1 ph\u1EA3i l\u00E0 \u0111\u1ECBnh d\u1EA1ng JSON h\u1EE3p l\u1EC7

-10041=Không tìm thấy thiết bị
+10041=Kh\u00F4ng t\u00ECm th\u1EA5y thi\u1EBFt b\u1ECB
 10042={0}
-10043=Xóa dữ liệu thất bại
-10044=Người dùng chưa đăng nhập
-10045=Kết nối WebSocket thất bại hoặc hết thời gian chờ
-10046=Không thể lưu dấu giọng nói, vui lòng liên hệ quản trị viên
-10047=Đạt đến giới hạn gửi hàng ngày
-10048=Mật khẩu cũ không chính xác
-10049=LLM được đặt không phải là openai hoặc ollama
-10050=Không thể tạo token
-10051=Không tìm thấy tài nguyên
-10052=Không tìm thấy agent mặc định
-10053=Không tìm thấy agent
-10054=Giao diện dấu giọng nói chưa được cấu hình, vui lòng cấu hình địa chỉ giao diện dấu giọng nói (server.voice_print) trong cấu hình tham số trước
-10055=Gửi SMS thất bại
-10056=Không thể thiết lập kết nối SMS
-10057=Không thể tạo dấu giọng nói cho agent
-10058=Không thể cập nhật dấu giọng nói cho agent
-10059=Không thể xóa dấu giọng nói cho agent
-10060=Gửi quá thường xuyên, vui lòng thử lại sau {0} giây
-10061=Mã kích hoạt không thể để trống
-10062=Lỗi mã kích hoạt
-10063=Thiết bị đã được kích hoạt
-10064=Mô hình này là mô hình mặc định, vui lòng đặt mô hình khác làm mặc định trước
-10065=Thêm dữ liệu thất bại
-10066=Cập nhật dữ liệu thất bại
-10067=Lỗi mã xác minh đồ họa
-10068=Đăng ký di động không được bật, không thể sử dụng chức năng mã xác minh SMS
-10069=Tên người dùng không phải là số điện thoại di động, vui lòng nhập lại
-10070=Số điện thoại di động này đã được đăng ký
-10071=Số điện thoại di động đã nhập không được đăng ký
-10072=Hiện không cho phép đăng ký người dùng thông thường
-10073=Đăng ký di động không được bật, không thể sử dụng chức năng truy xuất mật khẩu
-10074=Định dạng số điện thoại di động đã nhập không chính xác
-10075=Mã xác minh SMS đã nhập không chính xác
-10076=Loại từ điển không tồn tại
-10077=Mã loại từ điển bị trùng lặp
-10078=Đọc tài nguyên thất bại
-10079=Mô hình LLM và nhận dạng ý định, lựa chọn tham số không khớp
-10080=Dấu giọng nói này thuộc về {0} đã đăng ký, vui lòng chọn giọng nói khác
-10081=Đã xảy ra lỗi khi xóa dấu giọng nói
-10082=Không cho phép sửa đổi, giọng nói này đã được đăng ký làm dấu giọng nói ({0})
-10083=Lỗi sửa đổi dấu giọng nói, vui lòng liên hệ quản trị viên
-10084=Lỗi địa chỉ giao diện dấu giọng nói, vui lòng vào quản lý tham số để sửa đổi địa chỉ giao diện dấu giọng nói
-10085=Dữ liệu âm thanh không thuộc về agent này
-10086=Dữ liệu âm thanh trống, vui lòng kiểm tra dữ liệu đã tải lên
-10087=Đăng ký dấu giọng nói thất bại, yêu cầu không thành công
-10088=Đăng ký dấu giọng nói thất bại, xử lý yêu cầu thất bại
-10089=Hủy dấu giọng nói thất bại, yêu cầu không thành công
-10090=Hủy dấu giọng nói thất bại, xử lý yêu cầu thất bại
-10091=Nhà cung cấp mô hình không tồn tại
-10092=LLM được cấu hình không tồn tại
-10093=Cấu hình mô hình này được tham chiếu bởi agent {0} và không thể xóa
-10094=Mô hình LLM này được tham chiếu bởi cấu hình nhận dạng ý định và không thể xóa
-10095=Thao tác máy chủ không hợp lệ
-10096=Địa chỉ WebSocket máy chủ chưa được cấu hình
-10097=Địa chỉ WebSocket mục tiêu không tồn tại
-10098=Danh sách địa chỉ WebSocket không thể để trống
-10099=Địa chỉ WebSocket không thể sử dụng localhost hoặc 127.0.0.1
-10100=Định dạng địa chỉ WebSocket không chính xác
-10101=Kiểm tra kết nối WebSocket thất bại
-10102=Địa chỉ OTA không thể để trống
-10103=Địa chỉ OTA không thể sử dụng localhost hoặc 127.0.0.1
-10104=Địa chỉ OTA phải bắt đầu bằng http hoặc https
-10105=Địa chỉ OTA phải kết thúc bằng /ota/
-10106=Truy cập giao diện OTA thất bại
-10107=Định dạng nội dung trả về giao diện OTA không chính xác
-10108=Xác thực giao diện OTA thất bại
-10109=Địa chỉ MCP không thể để trống
-10110=Địa chỉ MCP không thể sử dụng localhost hoặc 127.0.0.1
-10111=Không phải địa chỉ MCP hợp lệ
-10112=Truy cập giao diện MCP thất bại
-10113=Định dạng nội dung trả về giao diện MCP không chính xác
-10114=Xác thực giao diện MCP thất bại
-10115=Địa chỉ giao diện dấu giọng nói không thể để trống
-10116=Địa chỉ giao diện dấu giọng nói không thể sử dụng localhost hoặc 127.0.0.1
-10117=Không phải địa chỉ giao diện dấu giọng nói hợp lệ
-10118=Địa chỉ giao diện dấu giọng nói phải bắt đầu bằng http hoặc https
-10119=Truy cập giao diện dấu giọng nói thất bại
-10120=Định dạng nội dung trả về giao diện dấu giọng nói không chính xác
-10121=Xác thực giao diện dấu giọng nói thất bại
-10122=Bí mật MQTT không thể để trống
-10123=Bí mật MQTT của bạn không an toàn, cần ít nhất 8 ký tự và phải chứa cả chữ hoa và chữ thường
-10124=Bí mật MQTT của bạn không an toàn, bí mật MQTT phải chứa cả chữ hoa và chữ thường
-10125=Bí mật MQTT của bạn chứa mật khẩu yếu
-10128=Nhãn từ điển bị trùng lặp
-10129=Khóa SM2 chưa được cấu hình
-10130=Giải mã SM2 thất bại
-10131=modelType và provideCode không thể để trống
-10132=Không có quyền xem lịch sử trò chuyện của agent này
-10133=ID phiên không thể để trống
-10134=ID agent không thể để trống
-10135=Tải xuống lịch sử trò chuyện thất bại
-10136=Liên kết tải xuống đã hết hạn hoặc không hợp lệ
-10137=Liên kết tải xuống không hợp lệ
-10138=Người dùng
+10043=X\u00F3a d\u1EEF li\u1EC7u th\u1EA5t b\u1EA1i
+10044=Ng\u01B0\u1EDDi d\u00F9ng ch\u01B0a \u0111\u0103ng nh\u1EADp
+10045=K\u1EBFt n\u1ED1i WebSocket th\u1EA5t b\u1EA1i ho\u1EB7c h\u1EBFt th\u1EDDi gian ch\u1EDD
+10046=Kh\u00F4ng th\u1EC3 l\u01B0u d\u1EA5u gi\u1ECDng n\u00F3i, vui l\u00F2ng li\u00EAn h\u1EC7 qu\u1EA3n tr\u1ECB vi\u00EAn
+10047=\u0110\u1EA1t \u0111\u1EBFn gi\u1EDBi h\u1EA1n g\u1EEDi h\u00E0ng ng\u00E0y
+10048=M\u1EADt kh\u1EA9u c\u0169 kh\u00F4ng ch\u00EDnh x\u00E1c
+10049=LLM \u0111\u01B0\u1EE3c \u0111\u1EB7t kh\u00F4ng ph\u1EA3i l\u00E0 openai ho\u1EB7c ollama
+10050=Kh\u00F4ng th\u1EC3 t\u1EA1o token
+10051=Kh\u00F4ng t\u00ECm th\u1EA5y t\u00E0i nguy\u00EAn
+10052=Kh\u00F4ng t\u00ECm th\u1EA5y agent m\u1EB7c \u0111\u1ECBnh
+10053=Kh\u00F4ng t\u00ECm th\u1EA5y agent
+10054=Giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i ch\u01B0a \u0111\u01B0\u1EE3c c\u1EA5u h\u00ECnh, vui l\u00F2ng c\u1EA5u h\u00ECnh \u0111\u1ECBa ch\u1EC9 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i (server.voice_print) trong c\u1EA5u h\u00ECnh tham s\u1ED1 tr\u01B0\u1EDBc
+10055=G\u1EEDi SMS th\u1EA5t b\u1EA1i
+10056=Kh\u00F4ng th\u1EC3 thi\u1EBFt l\u1EADp k\u1EBFt n\u1ED1i SMS
+10057=Kh\u00F4ng th\u1EC3 t\u1EA1o d\u1EA5u gi\u1ECDng n\u00F3i cho agent
+10058=Kh\u00F4ng th\u1EC3 c\u1EADp nh\u1EADt d\u1EA5u gi\u1ECDng n\u00F3i cho agent
+10059=Kh\u00F4ng th\u1EC3 x\u00F3a d\u1EA5u gi\u1ECDng n\u00F3i cho agent
+10060=G\u1EEDi qu\u00E1 th\u01B0\u1EDDng xuy\u00EAn, vui l\u00F2ng th\u1EED l\u1EA1i sau {0} gi\u00E2y
+10061=M\u00E3 k\u00EDch ho\u1EA1t kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10062=L\u1ED7i m\u00E3 k\u00EDch ho\u1EA1t
+10063=Thi\u1EBFt b\u1ECB \u0111\u00E3 \u0111\u01B0\u1EE3c k\u00EDch ho\u1EA1t
+10064=M\u00F4 h\u00ECnh n\u00E0y l\u00E0 m\u00F4 h\u00ECnh m\u1EB7c \u0111\u1ECBnh, vui l\u00F2ng \u0111\u1EB7t m\u00F4 h\u00ECnh kh\u00E1c l\u00E0m m\u1EB7c \u0111\u1ECBnh tr\u01B0\u1EDBc
+10065=Th\u00EAm d\u1EEF li\u1EC7u th\u1EA5t b\u1EA1i
+10066=C\u1EADp nh\u1EADt d\u1EEF li\u1EC7u th\u1EA5t b\u1EA1i
+10067=L\u1ED7i m\u00E3 x\u00E1c minh \u0111\u1ED3 h\u1ECDa
+10068=\u0110\u0103ng k\u00FD di \u0111\u1ED9ng kh\u00F4ng \u0111\u01B0\u1EE3c b\u1EADt, kh\u00F4ng th\u1EC3 s\u1EED d\u1EE5ng ch\u1EE9c n\u0103ng m\u00E3 x\u00E1c minh SMS
+10069=T\u00EAn ng\u01B0\u1EDDi d\u00F9ng kh\u00F4ng ph\u1EA3i l\u00E0 s\u1ED1 \u0111i\u1EC7n tho\u1EA1i di \u0111\u1ED9ng, vui l\u00F2ng nh\u1EADp l\u1EA1i
+10070=S\u1ED1 \u0111i\u1EC7n tho\u1EA1i di \u0111\u1ED9ng n\u00E0y \u0111\u00E3 \u0111\u01B0\u1EE3c \u0111\u0103ng k\u00FD
+10071=S\u1ED1 \u0111i\u1EC7n tho\u1EA1i di \u0111\u1ED9ng \u0111\u00E3 nh\u1EADp kh\u00F4ng \u0111\u01B0\u1EE3c \u0111\u0103ng k\u00FD
+10072=Hi\u1EC7n kh\u00F4ng cho ph\u00E9p \u0111\u0103ng k\u00FD ng\u01B0\u1EDDi d\u00F9ng th\u00F4ng th\u01B0\u1EDDng
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+10075=M\u00E3 x\u00E1c minh SMS \u0111\u00E3 nh\u1EADp kh\u00F4ng ch\u00EDnh x\u00E1c
+10076=Lo\u1EA1i t\u1EEB \u0111i\u1EC3n kh\u00F4ng t\u1ED3n t\u1EA1i
+10077=M\u00E3 lo\u1EA1i t\u1EEB \u0111i\u1EC3n b\u1ECB tr\u00F9ng l\u1EB7p
+10078=\u0110\u1ECDc t\u00E0i nguy\u00EAn th\u1EA5t b\u1EA1i
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+10080=D\u1EA5u gi\u1ECDng n\u00F3i n\u00E0y thu\u1ED9c v\u1EC1 {0} \u0111\u00E3 \u0111\u0103ng k\u00FD, vui l\u00F2ng ch\u1ECDn gi\u1ECDng n\u00F3i kh\u00E1c
+10081=\u0110\u00E3 x\u1EA3y ra l\u1ED7i khi x\u00F3a d\u1EA5u gi\u1ECDng n\u00F3i
+10082=Kh\u00F4ng cho ph\u00E9p s\u1EEDa \u0111\u1ED5i, gi\u1ECDng n\u00F3i n\u00E0y \u0111\u00E3 \u0111\u01B0\u1EE3c \u0111\u0103ng k\u00FD l\u00E0m d\u1EA5u gi\u1ECDng n\u00F3i ({0})
+10083=L\u1ED7i s\u1EEDa \u0111\u1ED5i d\u1EA5u gi\u1ECDng n\u00F3i, vui l\u00F2ng li\u00EAn h\u1EC7 qu\u1EA3n tr\u1ECB vi\u00EAn
+10084=L\u1ED7i \u0111\u1ECBa ch\u1EC9 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i, vui l\u00F2ng v\u00E0o qu\u1EA3n l\u00FD tham s\u1ED1 \u0111\u1EC3 s\u1EEDa \u0111\u1ED5i \u0111\u1ECBa ch\u1EC9 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i
+10085=D\u1EEF li\u1EC7u \u00E2m thanh kh\u00F4ng thu\u1ED9c v\u1EC1 agent n\u00E0y
+10086=D\u1EEF li\u1EC7u \u00E2m thanh tr\u1ED1ng, vui l\u00F2ng ki\u1EC3m tra d\u1EEF li\u1EC7u \u0111\u00E3 t\u1EA3i l\u00EAn
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+10096=\u0110\u1ECBa ch\u1EC9 WebSocket m\u00E1y ch\u1EE7 ch\u01B0a \u0111\u01B0\u1EE3c c\u1EA5u h\u00ECnh
+10097=\u0110\u1ECBa ch\u1EC9 WebSocket m\u1EE5c ti\u00EAu kh\u00F4ng t\u1ED3n t\u1EA1i
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+10099=\u0110\u1ECBa ch\u1EC9 WebSocket kh\u00F4ng th\u1EC3 s\u1EED d\u1EE5ng localhost ho\u1EB7c 127.0.0.1
+10100=\u0110\u1ECBnh d\u1EA1ng \u0111\u1ECBa ch\u1EC9 WebSocket kh\u00F4ng ch\u00EDnh x\u00E1c
+10101=Ki\u1EC3m tra k\u1EBFt n\u1ED1i WebSocket th\u1EA5t b\u1EA1i
+10102=\u0110\u1ECBa ch\u1EC9 OTA kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10103=\u0110\u1ECBa ch\u1EC9 OTA kh\u00F4ng th\u1EC3 s\u1EED d\u1EE5ng localhost ho\u1EB7c 127.0.0.1
+10104=\u0110\u1ECBa ch\u1EC9 OTA ph\u1EA3i b\u1EAFt \u0111\u1EA7u b\u1EB1ng http ho\u1EB7c https
+10105=\u0110\u1ECBa ch\u1EC9 OTA ph\u1EA3i k\u1EBFt th\u00FAc b\u1EB1ng /ota/
+10106=Truy c\u1EADp giao di\u1EC7n OTA th\u1EA5t b\u1EA1i
+10107=\u0110\u1ECBnh d\u1EA1ng n\u1ED9i dung tr\u1EA3 v\u1EC1 giao di\u1EC7n OTA kh\u00F4ng ch\u00EDnh x\u00E1c
+10108=X\u00E1c th\u1EF1c giao di\u1EC7n OTA th\u1EA5t b\u1EA1i
+10109=\u0110\u1ECBa ch\u1EC9 MCP kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10110=\u0110\u1ECBa ch\u1EC9 MCP kh\u00F4ng th\u1EC3 s\u1EED d\u1EE5ng localhost ho\u1EB7c 127.0.0.1
+10111=Kh\u00F4ng ph\u1EA3i \u0111\u1ECBa ch\u1EC9 MCP h\u1EE3p l\u1EC7
+10112=Truy c\u1EADp giao di\u1EC7n MCP th\u1EA5t b\u1EA1i
+10113=\u0110\u1ECBnh d\u1EA1ng n\u1ED9i dung tr\u1EA3 v\u1EC1 giao di\u1EC7n MCP kh\u00F4ng ch\u00EDnh x\u00E1c
+10114=X\u00E1c th\u1EF1c giao di\u1EC7n MCP th\u1EA5t b\u1EA1i
+10115=\u0110\u1ECBa ch\u1EC9 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10116=\u0110\u1ECBa ch\u1EC9 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i kh\u00F4ng th\u1EC3 s\u1EED d\u1EE5ng localhost ho\u1EB7c 127.0.0.1
+10117=Kh\u00F4ng ph\u1EA3i \u0111\u1ECBa ch\u1EC9 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i h\u1EE3p l\u1EC7
+10118=\u0110\u1ECBa ch\u1EC9 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i ph\u1EA3i b\u1EAFt \u0111\u1EA7u b\u1EB1ng http ho\u1EB7c https
+10119=Truy c\u1EADp giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i th\u1EA5t b\u1EA1i
+10120=\u0110\u1ECBnh d\u1EA1ng n\u1ED9i dung tr\u1EA3 v\u1EC1 giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i kh\u00F4ng ch\u00EDnh x\u00E1c
+10121=X\u00E1c th\u1EF1c giao di\u1EC7n d\u1EA5u gi\u1ECDng n\u00F3i th\u1EA5t b\u1EA1i
+10122=B\u00ED m\u1EADt MQTT kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10123=B\u00ED m\u1EADt MQTT c\u1EE7a b\u1EA1n kh\u00F4ng an to\u00E0n, c\u1EA7n \u00EDt nh\u1EA5t 8 k\u00FD t\u1EF1 v\u00E0 ph\u1EA3i ch\u1EE9a c\u1EA3 ch\u1EEF hoa v\u00E0 ch\u1EEF th\u01B0\u1EDDng
+10124=B\u00ED m\u1EADt MQTT c\u1EE7a b\u1EA1n kh\u00F4ng an to\u00E0n, b\u00ED m\u1EADt MQTT ph\u1EA3i ch\u1EE9a c\u1EA3 ch\u1EEF hoa v\u00E0 ch\u1EEF th\u01B0\u1EDDng
+10125=B\u00ED m\u1EADt MQTT c\u1EE7a b\u1EA1n ch\u1EE9a m\u1EADt kh\u1EA9u y\u1EBFu
+10128=Nh\u00E3n t\u1EEB \u0111i\u1EC3n b\u1ECB tr\u00F9ng l\u1EB7p
+10129=Kh\u00F3a SM2 ch\u01B0a \u0111\u01B0\u1EE3c c\u1EA5u h\u00ECnh
+10130=Gi\u1EA3i m\u00E3 SM2 th\u1EA5t b\u1EA1i
+10131=modelType v\u00E0 provideCode kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10132=Kh\u00F4ng c\u00F3 quy\u1EC1n xem l\u1ECBch s\u1EED tr\u00F2 chuy\u1EC7n c\u1EE7a agent n\u00E0y
+10133=ID phi\u00EAn kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10134=ID agent kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10135=T\u1EA3i xu\u1ED1ng l\u1ECBch s\u1EED tr\u00F2 chuy\u1EC7n th\u1EA5t b\u1EA1i
+10136=Li\u00EAn k\u1EBFt t\u1EA3i xu\u1ED1ng \u0111\u00E3 h\u1EBFt h\u1EA1n ho\u1EB7c kh\u00F4ng h\u1EE3p l\u1EC7
+10137=Li\u00EAn k\u1EBFt t\u1EA3i xu\u1ED1ng kh\u00F4ng h\u1EE3p l\u1EC7
+10138=Ng\u01B0\u1EDDi d\u00F9ng
 10139=Agent
-10140=Tệp âm thanh không thể để trống
-10141=Chỉ hỗ trợ tệp âm thanh
-10142=Kích thước tệp âm thanh không thể vượt quá 10MB
-10143=Tải lên thất bại
-10144=Bản ghi nhân bản giọng nói không tồn tại
-10145=Thông tin tài nguyên giọng nói không thể để trống
-10146=Tên nền tảng TTS không thể để trống
-10147=ID giọng nói không thể để trống
-10148=Tài khoản chủ sở hữu không thể để trống
-10149=ID tài nguyên giọng nói cần xóa không thể để trống
-10150=Bạn không có quyền thao tác bản ghi này
-10151=Vui lòng tải lên tệp âm thanh trước
-10152=Không tìm thấy cấu hình mô hình
-10153=Không tìm thấy loại mô hình
-10154=Đào tạo thất bại: {0}
-10155=Thiếu cấu hình Huoshan Engine
-10156=Lỗi định dạng phản hồi, thiếu trường BaseResp
-10157=Yêu cầu thất bại
-10158=Nhân bản giọng nói:
-10159=ID giọng nói đã tồn tại
-10160=Lỗi định dạng ID giọng nói Huoshan Engine, phải bắt đầu bằng S_
-10161=Địa chỉ Mac đã tồn tại
-10162=Nhà cung cấp mô hình không tồn tại
-10163=Bản ghi cơ sở kiến thức không tồn tại
-10164=Không tìm thấy cấu hình RAG
-10165=Lỗi loại cấu hình RAG
-10166=Không tìm thấy cấu hình RAG mặc định
-10167=Gọi API RAG thất bại: {0}
-10168=Tải lên tệp thất bại
-10169=Không có quyền thao tác cơ sở kiến thức này
-10170=Tên cơ sở kiến thức đã tồn tại
-10171=Cấu hình RAG base_url không thể để trống
-10172=Cấu hình RAG api_key không thể để trống
-10173=Cấu hình RAG api_key không thể chứa trình giữ chỗ, vui lòng thay thế bằng khóa API thực tế
-10174=Lỗi định dạng cấu hình RAG base_url, phải bắt đầu bằng http hoặc https
-10175=Địa chỉ Mac không thể để trống
-10176=Cấu hình RAG dataset_id không thể để trống
-10177=Cấu hình RAG model_id không thể để trống
-10178=Cấu hình RAG dataset_id và model_id không thể để trống
-10179=Tên tệp không thể để trống
-10180=Nội dung tệp không thể để trống
-10181=Tên nhân bản giọng nói không thể để trống
-10182=Không tìm thấy âm thanh nhân bản giọng nói
-10183=Không tìm thấy mẫu agent mặc định
+10140=T\u1EC7p \u00E2m thanh kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10141=Ch\u1EC9 h\u1ED7 tr\u1EE3 t\u1EC7p \u00E2m thanh
+10142=K\u00EDch th\u01B0\u1EDBc t\u1EC7p \u00E2m thanh kh\u00F4ng th\u1EC3 v\u01B0\u1EE3t qu\u00E1 10MB
+10143=T\u1EA3i l\u00EAn th\u1EA5t b\u1EA1i
+10144=B\u1EA3n ghi nh\u00E2n b\u1EA3n gi\u1ECDng n\u00F3i kh\u00F4ng t\u1ED3n t\u1EA1i
+10145=Th\u00F4ng tin t\u00E0i nguy\u00EAn gi\u1ECDng n\u00F3i kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10146=T\u00EAn n\u1EC1n t\u1EA3ng TTS kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10147=ID gi\u1ECDng n\u00F3i kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10148=T\u00E0i kho\u1EA3n ch\u1EE7 s\u1EDF h\u1EEFu kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10149=ID t\u00E0i nguy\u00EAn gi\u1ECDng n\u00F3i c\u1EA7n x\u00F3a kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10150=B\u1EA1n kh\u00F4ng c\u00F3 quy\u1EC1n thao t\u00E1c b\u1EA3n ghi n\u00E0y
+10151=Vui l\u00F2ng t\u1EA3i l\u00EAn t\u1EC7p \u00E2m thanh tr\u01B0\u1EDBc
+10152=Kh\u00F4ng t\u00ECm th\u1EA5y c\u1EA5u h\u00ECnh m\u00F4 h\u00ECnh
+10153=Kh\u00F4ng t\u00ECm th\u1EA5y lo\u1EA1i m\u00F4 h\u00ECnh
+10154=\u0110\u00E0o t\u1EA1o th\u1EA5t b\u1EA1i: {0}
+10155=Thi\u1EBFu c\u1EA5u h\u00ECnh Huoshan Engine
+10156=L\u1ED7i \u0111\u1ECBnh d\u1EA1ng ph\u1EA3n h\u1ED3i, thi\u1EBFu tr\u01B0\u1EDDng BaseResp
+10157=Y\u00EAu c\u1EA7u th\u1EA5t b\u1EA1i
+10158=Nh\u00E2n b\u1EA3n \u00E2m s\u1EAFc:
+10159=ID gi\u1ECDng n\u00F3i \u0111\u00E3 t\u1ED3n t\u1EA1i
+10160=L\u1ED7i \u0111\u1ECBnh d\u1EA1ng ID gi\u1ECDng n\u00F3i Huoshan Engine, ph\u1EA3i b\u1EAFt \u0111\u1EA7u b\u1EB1ng S_
+10161=\u0110\u1ECBa ch\u1EC9 Mac \u0111\u00E3 t\u1ED3n t\u1EA1i
+10162=Nh\u00E0 cung c\u1EA5p m\u00F4 h\u00ECnh kh\u00F4ng t\u1ED3n t\u1EA1i
+10163=B\u1EA3n ghi c\u01A1 s\u1EDF ki\u1EBFn th\u1EE9c kh\u00F4ng t\u1ED3n t\u1EA1i
+10164=Kh\u00F4ng t\u00ECm th\u1EA5y c\u1EA5u h\u00ECnh RAG
+10165=L\u1ED7i lo\u1EA1i c\u1EA5u h\u00ECnh RAG
+10166=Kh\u00F4ng t\u00ECm th\u1EA5y c\u1EA5u h\u00ECnh RAG m\u1EB7c \u0111\u1ECBnh
+10167=G\u1ECDi API RAG th\u1EA5t b\u1EA1i: {0}
+10168=T\u1EA3i l\u00EAn t\u1EC7p th\u1EA5t b\u1EA1i
+10169=Kh\u00F4ng c\u00F3 quy\u1EC1n thao t\u00E1c c\u01A1 s\u1EDF ki\u1EBFn th\u1EE9c n\u00E0y
+10170=T\u00EAn c\u01A1 s\u1EDF ki\u1EBFn th\u1EE9c \u0111\u00E3 t\u1ED3n t\u1EA1i
+10171=C\u1EA5u h\u00ECnh RAG base_url kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10172=C\u1EA5u h\u00ECnh RAG api_key kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10173=C\u1EA5u h\u00ECnh RAG api_key kh\u00F4ng th\u1EC3 ch\u1EE9a tr\u00ECnh gi\u1EEF ch\u1ED7, vui l\u00F2ng thay th\u1EBF b\u1EB1ng kh\u00F3a API th\u1EF1c t\u1EBF
+10174=L\u1ED7i \u0111\u1ECBnh d\u1EA1ng c\u1EA5u h\u00ECnh RAG base_url, ph\u1EA3i b\u1EAFt \u0111\u1EA7u b\u1EB1ng http ho\u1EB7c https
+10175=\u0110\u1ECBa ch\u1EC9 Mac kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10176=C\u1EA5u h\u00ECnh RAG dataset_id kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10177=C\u1EA5u h\u00ECnh RAG model_id kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10178=C\u1EA5u h\u00ECnh RAG dataset_id v\u00E0 model_id kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10179=T\u00EAn t\u1EC7p kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10180=N\u1ED9i dung t\u1EC7p kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10181=T\u00EAn nh\u00E2n b\u1EA3n gi\u1ECDng n\u00F3i kh\u00F4ng th\u1EC3 \u0111\u1EC3 tr\u1ED1ng
+10182=Kh\u00F4ng t\u00ECm th\u1EA5y \u00E2m thanh nh\u00E2n b\u1EA3n gi\u1ECDng n\u00F3i
+10183=Kh\u00F4ng t\u00ECm th\u1EA5y m\u1EABu agent m\u1EB7c \u0111\u1ECBnh
+10184=Lo\u1EA1i b\u1ED9 chuy\u1EC3n \u0111\u1ED5i kh\u00F4ng \u0111\u01B0\u1EE3c h\u1ED7 tr\u1EE3
+10185=Ki\u1EC3m tra c\u1EA5u h\u00ECnh RAG th\u1EA5t b\u1EA1i
+10186=T\u1EA1o b\u1ED9 chuy\u1EC3n \u0111\u1ED5i th\u1EA5t b\u1EA1i
+10187=Kh\u1EDFi t\u1EA1o b\u1ED9 chuy\u1EC3n \u0111\u1ED5i th\u1EA5t b\u1EA1i
+10188=Ki\u1EC3m tra k\u1EBFt n\u1ED1i b\u1ED9 chuy\u1EC3n \u0111\u1ED5i th\u1EA5t b\u1EA1i
+10189=Thao t\u00E1c b\u1ED9 chuy\u1EC3n \u0111\u1ED5i th\u1EA5t b\u1EA1i
+10190=Kh\u00F4ng t\u00ECm th\u1EA5y b\u1ED9 chuy\u1EC3n \u0111\u1ED5i
+10191=L\u1ED7i b\u1ED9 nh\u1EDB \u0111\u1EC7m b\u1ED9 chuy\u1EC3n \u0111\u1ED5i
+10192=Kh\u00F4ng t\u00ECm th\u1EA5y lo\u1EA1i b\u1ED9 chuy\u1EC3n \u0111\u1ED5i
+10193=ID thi\u1EBFt b\u1ECB kh\u00F4ng th\u1EC3 tr\u1ED1ng
+10194=Kh\u00F4ng t\u00ECm th\u1EA5y thi\u1EBFt b\u1ECB ho\u1EB7c thi\u1EBFt b\u1ECB kh\u00F4ng tr\u1EF1c tuy\u1EBFn
+10195=S\u1ED1 l\u1EA7n t\u1EA3i l\u00EAn OTA v\u01B0\u1EE3t qu\u00E1 gi\u1EDBi h\u1EA1n
@@ -189,4 +189,16 @@
 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
+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
+10193=\u8BBE\u5907ID\u4E0D\u80FD\u4E3A\u7A7A
+10194=\u8BBE\u5907\u4E0D\u5B58\u5728\u6216\u4E0D\u5728\u7EBF
+10195=OTA\u4E0A\u4F20\u6B21\u6570\u8D85\u8FC7\u9650\u5236
@@ -164,7 +164,7 @@
 10155=\u706B\u5C71\u5F15\u64CE\u7F3A\u5C11appid\u6216access_token
 10156=\u97FF\u61C9\u683C\u5F0F\u932F\u8AA4\uFF0C\u7F3A\u5C11BaseResp\u5B57\u6BB5
 10157=\u8ACB\u6C42\u5931\u6557
-10158=\u514b\u9686\u97f3\u8272:
+10158=\u514B\u9686\u97F3\u8272:
 10159=\u97F3\u8272ID\u5DF2\u5B58\u5728
 10160=\u706B\u5C71\u5F15\u64CE\u97F3\u8272ID\u683C\u5F0F\u932F\u8AA4\uFF0C\u5FC5\u9808\u4EE5S_\u958B\u982D
 10161=Mac\u5730\u5740\u5DF2\u5B58\u5728
@@ -173,20 +173,32 @@
 10164=RAG\u914D\u7F6E\u672A\u627E\u5230
 10165=RAG\u914D\u7F6E\u985E\u578B\u932F\u8AA4
 10166=\u9810\u8A2DRAG\u914D\u7F6E\u672A\u627E\u5230
-10167=\u0052\u0041\u0047\u8abf\u7528\u5931\u6557\uFF0C{0}
+10167=RAG\u8ABF\u7528\u5931\u6557\uFF0C{0}
 10168=\u4E0A\u50B3\u6587\u4EF6\u5931\u6557
 10169=\u60A8\u6C92\u6709\u6B0A\u9650\u64CD\u4F5C\u8A72\u8A18\u9304
 10170=\u77E5\u8B58\u5EAB\u540D\u7A31\u91CD\u8907
-10171=\u0052\u0041\u0047\u914D\u7F6E\u4F53\u7684base_url\u4E0D\u80FD\u4E3A\u7A7A
-10172=\u0052\u0041\u0047\u914D\u7F6E\u4F53\u7684api_key\u4E0D\u80FD\u4E3A\u7A7A
-10173=\u0052\u0041\u0047\u914D\u7F6E\u4F53\u7684api_key\u4E0D\u80FD\u4E3A\u7A7A\uFF0C\u8BF7\u66F4\u6362\u4E3A\u5728\u53D6\u7684API\u53C2\u6570
-10174=\u0052\u0041\u0047\u914D\u7F6E\u4F53\u7684base_url\u683C\u5F0F\u9519\u8BEF\uFF0C\u5FC5\u987B\u4EE5http\u6216https\u5F00\u5934
+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=\u0052\u0041\u0047\u914D\u7F6E\u4F53\u7684dataset_id\u4E0D\u80FD\u4E3A\u7A7A
-10177=\u0052\u0041\u0047\u914D\u7F6E\u4F53\u7684model_id\u4E0D\u80FD\u4E3A\u7A7A
-10178=\u0052\u0041\u0047\u914D\u7F6E\u4F53\u7684dataset_id\u548Cmodel_id\u4E0D\u80FD\u4E3A\u7A7A
-10179=\u6587\u4ef6\u540d\u7a31\u4e0d\u80fd\u70ba\u7a7a
-10180=\u6587\u4ef6\u5185\u5bb9\u4e0d\u80fd\u70ba\u7a7a
-10181=\u97f3\u8272\u514b\u9686\u540d\u7a31\u4e0d\u80fd\u70ba\u7a7a
-10182=\u97f3\u8272\u514b\u9686\u97f3\u983b\u4e0d\u5b58\u5728
-10183=\u9ed8\u8ba4\u667a\u80fd\u4f53\u672a\u627e\u5230
+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\u7A31\u4E0D\u80FD\u70BA\u7A7A
+10180=\u6587\u4EF6\u5185\u5BB9\u4E0D\u80FD\u70BA\u7A7A
+10181=\u97F3\u8272\u514B\u9686\u540D\u7A31\u4E0D\u80FD\u70BA\u7A7A
+10182=\u97F3\u8272\u514B\u9686\u97F3\u983B\u4E0D\u5B58\u5728
+10183=\u9ED8\u8BA4\u667A\u80FD\u4F53\u672A\u627E\u5230
+10184=\u4E0D\u652F\u6301\u7684\u9002\u914D\u5668\u985E\u578B
+10185=RAG\u914D\u7F6E\u9A57\u8B49\u5931\u6557
+10186=\u9002\u914D\u5668\u5275\u5EFA\u5931\u6557
+10187=\u9002\u914D\u5668\u521D\u59CB\u5316\u5931\u6557
+10188=\u9002\u914D\u5668\u9023\u63A5\u6E2C\u8A66\u5931\u6557
+10189=\u9002\u914D\u5668\u64CD\u4F5C\u5931\u6557
+10190=\u9002\u914D\u5668\u672A\u627E\u5230
+10191=\u9002\u914D\u5668\u7F13\u5B58\u932F\u8AA4
+10192=\u9002\u914D\u5668\u985E\u578B\u672A\u627E\u5230
+10193=\u8A2D\u5099ID\u4E0D\u80FD\u4E3A\u7A7A
+10194=\u8A2D\u5099\u4E0D\u5B58\u5728\u6216\u672A\u5728\u7DDA
+10195=OTA\u4E0A\u4F20\u6B21\u6578\u8D85\u904E\u9650\u5236
@@ -22,13 +22,18 @@
    created_at, updated_at
  </sql>

-  <delete id="deleteAudioByAgentId">
-    DELETE FROM ai_agent_chat_audio 
-    WHERE id IN (
-      SELECT audio_id 
-      FROM ai_agent_chat_history 
-      WHERE agent_id = #{agentId}
-    )
+  <select id="getAudioIdsByAgentId" resultType="java.lang.String">
+    SELECT DISTINCT audio_id
+    FROM ai_agent_chat_history
+    WHERE agent_id = #{agentId} AND audio_id IS NOT NULL
+  </select>
+
+  <delete id="deleteAudioByIds">
+    DELETE FROM ai_agent_chat_audio
+    WHERE id IN
+    <foreach collection="audioIds" item="id" open="(" separator="," close=")">
+      #{id}
+    </foreach>
  </delete>
  
  <update id="deleteAudioIdByAgentId">
@@ -15,4 +15,23 @@
        FROM sys_dict_type
        WHERE id = #{dictTypeId}
    </select>
+
+    <select id="getDictTypesByIdList" resultType="java.lang.String">
+        SELECT
+            dict_type
+        FROM
+            sys_dict_type
+        WHERE
+            id IN (
+                SELECT
+                    dict_type_id
+                FROM
+                    sys_dict_data
+                WHERE
+                    id IN
+                <foreach collection="dictDataIdList" item="id" open="(" separator="," close=")">
+                    #{id}
+                </foreach>
+                )
+    </select>
 </mapper>
@@ -3,7 +3,7 @@

 <mapper namespace="xiaozhi.modules.voiceclone.dao.VoiceCloneDao">
    <select id="getTrainSuccess" resultType="xiaozhi.modules.model.dto.VoiceDTO">
-        select id, name
+        select id, name, voice_id as voiceDemo
        from ai_voice_clone
        where model_id = #{modelId} and user_id = #{userId} and train_status = 2
    </select>
@@ -235,7 +235,7 @@ function showAbout() {
    title: t('settings.aboutApp', { appName: import.meta.env.VITE_APP_TITLE }),
    content: t('settings.aboutContent', {
      appName: import.meta.env.VITE_APP_TITLE,
-      version: '0.8.8'
+      version: '0.9.1'
    }),
    showCancel: false,
    confirmText: t('common.confirm'),
@@ -0,0 +1,89 @@
+# 语音盒子主题自定义
+
+## 项目概述
+
+本目录包含从 [xiaozhi-assets-generator](https://github.com/xinnan-tech/xiaozhi-assets-generator) 项目打包的静态文件，用于语音盒子主题的在线自定义与生成。用户可以通过此工具配置唤醒词、字体、表情和聊天背景等元素，并导出为 `assets.bin` 文件。
+
+## 目录结构
+
+```
+generator/
+├── assets/              # 构建生成的资源文件
+│   ├── ft_render-ByO_jG18.js
+│   ├── index-CYcyz9xb.js
+│   └── index-NXxBVrod.css
+├── static/              # 静态资源目录
+│   ├── charsets/        # 字符集文件
+│   │   ├── deepseek.txt
+│   │   ├── gb2312.txt
+│   │   ├── latin1.txt
+│   │   └── qwen18409.txt
+│   ├── fonts/           # 字体资源
+│   │   ├── font_noto_qwen_14_1.bin
+│   │   ├── font_noto_qwen_16_4.bin
+│   │   ├── font_noto_qwen_20_4.bin
+│   │   ├── font_noto_qwen_30_4.bin
+│   │   ├── font_puhui_deepseek_14_1.bin
+│   │   ├── font_puhui_deepseek_16_4.bin
+│   │   ├── font_puhui_deepseek_20_4.bin
+│   │   ├── font_puhui_deepseek_30_4.bin
+│   │   ├── noto_qwen.ttf
+│   │   └── puhui_deepseek.ttf
+│   ├── multinet_model/  # 自定义唤醒词模型
+│   │   ├── fst/
+│   │   ├── mn6_cn/
+│   │   ├── mn6_en/
+│   │   ├── mn7_cn/
+│   │   └── mn7_en/
+│   ├── twemoji32/       # 32x32 表情图片
+│   ├── twemoji64/       # 64x64 表情图片
+│   ├── wakenet_model/   # 预设唤醒词模型
+│   └── README.md        # 静态资源说明
+├── index.html           # 主页面
+└── README.md            # 项目说明文档
+```
+
+## 主要功能
+
+### 1. 芯片与屏幕配置
+- 支持多种芯片型号：ESP32-S3、ESP32-C3、ESP32-P4、ESP32-C6
+- 灵活的屏幕分辨率设置
+- 支持 RGB565 颜色格式
+
+### 2. 唤醒词配置
+- **预设唤醒词**：基于不同芯片支持的 WakeNet 模型
+- **自定义唤醒词**：支持中文和英文命令词，可配置阈值和超时时间
+
+### 3. 字体配置
+- 预设多种字体：阿里巴巴普惠体、Noto Qwen 等
+- 支持上传自定义 TTF/WOFF 字体文件
+- 可配置字号和颜色深度（bpp）
+
+### 4. 表情集合
+- 提供 21 种基础表情的预设方案（32x32 和 64x64 两种尺寸）
+- 支持自定义表情上传
+
+### 5. 聊天背景
+- 支持浅色/深色模式切换
+- 可配置纯色背景或图片背景
+- 自动适配屏幕分辨率
+
+## 使用方法
+
+1. 以服务方式启动 `index.html` 文件
+2. 选择芯片型号和屏幕配置
+3. 通过不同标签页配置主题元素
+4. 点击生成按钮查看资源清单
+5. 确认后生成并下载 `assets.bin` 文件
+
+## 技术说明
+
+- 构建后的静态资源位于 `assets/` 目录
+- 原始模型和资源文件位于 `static/` 目录
+- 支持离线使用，无需额外依赖
+
+## 注意事项
+
+- 本工具为离线使用设计，所有资源已包含在目录中
+- 生成的 `assets.bin` 文件需要与语音盒子硬件配合使用
+- 自定义资源需注意文件格式和大小限制，以确保兼容
@@ -0,0 +1,15 @@
+<!DOCTYPE html>
+<html lang="zh-CN">
+  <head>
+    <meta charset="UTF-8" />
+    <link rel="icon" type="image/svg+xml" href="/vite.svg" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <link rel="icon" href="./favicon.ico">
+    <title>Xiaozhi AI Customization</title>
+    <script type="module" crossorigin src="./assets/index-B8r0c7xg.js"></script>
+    <link rel="stylesheet" crossorigin href="./assets/index-CrIJdTCK.css">
+  </head>
+  <body>
+    <div id="app"></div>
+  </body>
+</html>
--- a/Show More
+++ b/Show More
				`@@ -0,0 +1 @@`
				INSERT INTO `sys_params` (id, param_code, param_value, value_type, param_type, remark) VALUES (311, 'enable_websocket_ping', 'false', 'boolean', 1, '是否启用WebSocket心跳保活机制');