@docs: 修正 snailjob 注释里失效的 ry_job.sql 引用

实际建表脚本在 docs/script/sql/ruoyi-ai-v3_mysql8.sql（sj_ 前缀表），仓库中并无 ry_job.sql。关联 issue #311。 Co-Authored-By: Claude <noreply@anthropic.com>
@style: 修正 QdrantVectorStoreStrategy 缩进为空格
2026-09-13 00:14:59 +00:00 · 2026-07-15 18:25:55 +08:00 · 2026-07-15 18:00:07 +08:00 · 2026-07-15 17:58:12 +08:00 · 2026-07-15 17:43:51 +08:00 · 2026-07-15 11:17:20 +08:00
203 changed files with 15376 additions and 1790 deletions
--- a/README.md
+++ b/README.md
@@ -21,30 +21,22 @@

 *开箱即用的全栈AI平台，支持多智能体协同、Supervisor模式编排、多种决策模式、RAG技术和流程编排能力*

-**[English](README_EN.md)** | **[📖 使用文档](https://doc.pandarobot.chat)** |
-**[🚀 在线体验](https://web.pandarobot.chat)** | **[🐛 问题反馈](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 功能建议](https://github.com/ageerle/ruoyi-ai/issues)**
+**[English](README_EN.md)** | **[📖 使用文档](https://doc.ruoyiai.chat/)** |
+**[🚀 在线体验](https://web.ruoyiai.chat/)** | **[🐛 问题反馈](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 功能建议](https://github.com/ageerle/ruoyi-ai/issues)**

 </div>


 ## ✨ 核心亮点

-|     模块     | 现有能力 
-|:----------:|---
-|  **模型管理**  | 多模型接入(OpenAI/DeepSeek/通义/智谱)、多模态理解、Coze/DIFY/FastGPT平台集成 
-|  **知识管理**  | 本地RAG + 向量库(Milvus/Weaviate/Qdrant)  + 文档解析        
-|  **工具管理**  | Mcp协议集成、Skills能力 + 可扩展工具生态                             
-|  **流程编排**  | 可视化工作流设计器、节点拖拽编排、SSE流式执行,目前已经支持模型调用,邮件发送,人工审核等节点  
-|  **多智能体**  | 基于Langchain4j的Agent框架、Supervisor模式编排,支持多种决策模型          
+|    模块     | 现有能力 
+|:---------:|---
+| **模型管理**  | 多模型接入(DeepSeek/智谱/MIMO/百炼/OpenAI)、多模态理解、Coze/DIFY/FastGPT/RAGFlow平台集成
+| **知识管理**  | 本地RAG + 向量库(Milvus/Weaviate/Qdrant)  + 文档解析
+| **工具管理**  | Mcp协议集成、Skills能力 + 可扩展工具生态                             
+| **流程编排**  | 可视化工作流设计器、节点拖拽编排、SSE流式执行,目前已经支持模型调用,邮件发送,人工审核等节点  
+| **智能体管理** | 基于Langchain4j的Agent框架、Supervisor模式编排,支持多种决策模型,可以灵活搭配工具,skills          

-## 🚀 快速体验
-
-### 在线演示
-
-|   平台   | 地址 | 账号 |
-|:------:|---|---|
-|  用户端   | [web.pandarobot.chat](https://web.pandarobot.chat) | admin / admin123 |
-| 管理后台 | [admin.pandarobot.chat](https://admin.pandarobot.chat) | admin / admin123 |

 ### 项目源码

@@ -53,6 +45,7 @@
 | 🔧 后端服务  | [ruoyi-ai](https://github.com/ageerle/ruoyi-ai)       | [ruoyi-ai](https://gitee.com/ageerle/ruoyi-ai)       | [ruoyi-ai](https://gitcode.com/ageerle/ruoyi-ai)       |
 | 🎨 用户前端  | [ruoyi-web](https://github.com/ageerle/ruoyi-web)     | [ruoyi-web](https://gitee.com/ageerle/ruoyi-web)     | [ruoyi-web](https://gitcode.com/ageerle/ruoyi-web)     |
 | 🛠️ 管理后台 | [ruoyi-admin](https://github.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitee.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitcode.com/ageerle/ruoyi-admin) |
+| 🎬 短剧平台  | [ruoyi-drama](https://github.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitee.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitcode.com/ageerle/ruoyi-drama)   |

 ### 合作项目
 | 项目名称           | GitHub 仓库                                             | Gitee 仓库                                             
@@ -66,8 +59,6 @@
 - **数据存储**：MySQL 8.0 + Redis + 向量数据库（Milvus/Weaviate/Qdrant）
 - **前端技术**：Vue 3 + Vben Admin + element-plus-x
 - **安全认证**：Sa-Token + JWT 双重保障
-
-
 - **文档处理**：PDF、Word、Excel 解析，图像智能分析
 - **实时通信**：WebSocket 实时通信，SSE 流式响应
 - **系统监控**：完善的日志体系、性能监控、服务健康检查
@@ -187,7 +178,7 @@ docker-compose -f docker-compose-all.yaml restart [服务名]

 想要深入了解安装部署、功能配置和二次开发？

-**👉 [完整使用文档](https://doc.pandarobot.chat)**
+**👉 [完整使用文档](https://doc.ruoyiai.chat/)**

 ## 🤝 参与贡献

@@ -210,17 +201,29 @@ docker-compose -f docker-compose-all.yaml restart [服务名]
 ## 🙏 特别鸣谢

 感谢以下优秀的开源项目为本项目提供支持：
- [Spring AI Alibaba Copilot](https://github.com/spring-ai-alibaba/copilot) - 基于spring-ai-alibaba
-  的智能编码助手
 - [Langchain4j](https://github.com/langchain4j/langchain4j) - 强大的 Java LLM 开发框架
 - [RuoYi-Vue-Plus](https://gitee.com/dromara/RuoYi-Vue-Plus) - 成熟的企业级快速开发框架
 - [Vben Admin](https://github.com/vbenjs/vue-vben-admin) - 现代化的 Vue 后台管理模板

-## 🌐 生态伙伴

- [PPIO 派欧云](https://ppinfra.com/user/register?invited_by=P8QTUY&utm_source=github_ruoyi-ai) - 提供高性价比的 GPU
-  算力和模型 API 服务
- [优云智算](https://www.compshare.cn/?ytag=GPU_YY-gh_ruoyi) - 万卡RTX40系GPU+海内外主流模型API服务，秒级响应，按量计费，新客免费用。
+## 💎 赞助商
+
+**感谢以下赞助商对本项目的支持：**
+
+<a href="https://www.atlascloud.ai?ref=89F97E">
+  <img src="docs/image/sponsor/atlascloud_banner.png" alt="Atlas Cloud" width="160" height="80">
+</a>
+
+[访问Atlas Cloud官网](https://www.atlascloud.ai?ref=89F97E&utm_source=github&utm_campaign=ruoyi-drama) · [编程计划优惠](https://www.atlascloud.ai/console/coding-plan)
+全模态 AI 推理平台，为开发者提供统一的 AI API，支持视频生成、图像生成和大语言模型。一次接入，即可访问 **300+ 精选模型**。
+
+<a href="https://www.volcengine.com/activity/codingplan?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai">
+  <img src="docs/image/sponsor/huoshan.png" alt="火山引擎 CodingPlan" width="160" height="80">
+</a>
+
+[注册即领2500万Tokens，立即前往](https://www.volcengine.com/activity/ai618?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai)
+享字节自研豆包模型+满血版开源 SOTA模型，覆盖文本、VLM、图像生成，全模态一站配齐：Seed-2.1、Seedream-5.0、GLM-5.2、DeepSeek等。不止编程、更能解决 Agent 复杂长程任务！
+

 ## 💬 社区交流

@@ -234,6 +237,11 @@ docker-compose -f docker-compose-all.yaml restart [服务名]
 <em>邀请进群学习</em>
 </td>
 <td align="center">
+<img src="docs/image/wx06.png" alt="微信二维码" width="200" height="200"><br>
+<strong>微信技术交流群</strong><br>
+<em>技术讨论</em>
+</td>
+<td align="center">
 <img src="docs/image/qq.png" alt="QQ群二维码" width="200" height="200"><br>
 <strong>QQ技术交流群</strong><br>
 <em>技术讨论</em>
@@ -247,7 +255,7 @@ docker-compose -f docker-compose-all.yaml restart [服务名]
 ---
 <div align="center">

-**[⭐ 点个Star支持一下](https://github.com/ageerle/ruoyi-ai)** • **[ Fork 开始贡献](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 English](README_EN.md)** • **[📖 查看完整文档](https://doc.pandarobot.chat)**
+**[⭐ 点个Star支持一下](https://github.com/ageerle/ruoyi-ai)** • **[ Fork 开始贡献](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 English](README_EN.md)** • **[📖 查看完整文档](https://doc.ruoyiai.chat/)**

 *用 ❤️ 打造，由 RuoYi AI 开源社区维护*

--- a/README_EN.md
+++ b/README_EN.md
@@ -22,8 +22,8 @@

 *An out-of-the-box full-stack AI platform supporting multi-agent collaboration, Supervisor mode orchestration, and multiple decision models, with advanced RAG technology and visual workflow orchestration capabilities*

-**[中文](README.md)** | **[📖 Documentation](https://doc.pandarobot.chat)** |
-**[🚀 Live Demo](https://web.pandarobot.chat)** | **[🐛 Report Issues](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 Feature Requests](https://github.com/ageerle/ruoyi-ai/issues)**
+**[中文](README.md)** | **[📖 Documentation](https://doc.ruoyiai.chat/)** |
+**[🚀 Live Demo](https://web.ruoyiai.chat/)** | **[🐛 Report Issues](https://github.com/ageerle/ruoyi-ai/issues)** | **[💡 Feature Requests](https://github.com/ageerle/ruoyi-ai/issues)**

 </div>

@@ -34,21 +34,12 @@

 | Module | Current Capabilities |
 |:---:|---|
-| **Model Management** | Multi-model integration (OpenAI/DeepSeek/Tongyi/Zhipu), multi-modal understanding, Coze/DIFY/FastGPT platform integration |
+| **Model Management** | Multi-model integration (OpenAI/DeepSeek/Tongyi/Zhipu/MiniMax), multi-modal understanding, Coze/DIFY/FastGPT platform integration |
 | **Knowledge Base** | Local RAG + Vector DB (Milvus/Weaviate/Qdrant) + Document parsing |
 | **Tool Management** | MCP protocol integration, Skills capability + Extensible tool ecosystem |
 | **Workflow Orchestration** | Visual workflow designer, drag-and-drop node orchestration, SSE streaming execution, currently supports model calls, email sending, manual review nodes |
 | **Multi-Agent** | Agent framework based on Langchain4j, Supervisor mode orchestration, supports multiple decision models |

-## 🚀 Quick Start
-
-### Live Demo
-
-|   Platform   | URL | Account |
-|:------:|---|---|
-|  User Frontend   | [web.pandarobot.chat](https://web.pandarobot.chat) | admin / admin123 |
-| Admin Panel | [admin.pandarobot.chat](https://admin.pandarobot.chat) | admin / admin123 |
-
 ### Project Repositories

 | Module     | GitHub Repository                                             | Gitee Repository                                             | GitCode Repository                                             |
@@ -56,6 +47,7 @@
 | 🔧 Backend  | [ruoyi-ai](https://github.com/ageerle/ruoyi-ai)       | [ruoyi-ai](https://gitee.com/ageerle/ruoyi-ai)       | [ruoyi-ai](https://gitcode.com/ageerle/ruoyi-ai)       |
 | 🎨 User Frontend  | [ruoyi-web](https://github.com/ageerle/ruoyi-web)     | [ruoyi-web](https://gitee.com/ageerle/ruoyi-web)     | [ruoyi-web](https://gitcode.com/ageerle/ruoyi-web)     |
 | 🛠️ Admin Panel | [ruoyi-admin](https://github.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitee.com/ageerle/ruoyi-admin) | [ruoyi-admin](https://gitcode.com/ageerle/ruoyi-admin) |
+| 🎬 Drama | [ruoyi-drama](https://github.com/ageerle/ruoyi-drama) | [ruoyi-drama](https://gitee.com/ageerle/ruoyi-drama) | |

 ### Partner Projects
 | Project Name           | GitHub Repository                                             | Gitee Repository |
@@ -69,8 +61,6 @@
 - **Data Storage**: MySQL 8.0 + Redis + Vector Databases (Milvus/Weaviate/Qdrant)
 - **Frontend**: Vue 3 + Vben Admin + element-plus-x
 - **Security**: Sa-Token + JWT dual-layer security
-
-
 - **Document Processing**: PDF, Word, Excel parsing, intelligent image analysis
 - **Real-time Communication**: WebSocket real-time communication, SSE streaming response
 - **System Monitoring**: Comprehensive logging system, performance monitoring, service health checks
@@ -186,11 +176,39 @@ docker-compose -f docker-compose-all.yaml logs -f [service-name]
 docker-compose -f docker-compose-all.yaml restart [service-name]
 ```

+### MiniMax Configuration
+
+The built-in MiniMax provider accepts one API Host value and selects the matching protocol adapter. Use a Base URL from this table:
+
+| Region | OpenAI-compatible Base URL | Anthropic-compatible Base URL |
+| --- | --- | --- |
+| Global | `https://api.minimax.io/v1` | `https://api.minimax.io/anthropic` |
+| China | `https://api.minimaxi.com/v1` | `https://api.minimaxi.com/anthropic` |
+
+For Anthropic-compatible requests, configure the Base URL ending in `/anthropic`. Do not append `/v1` or `/v1/messages`; the provider adapter derives the request path internally.
+
+| Model ID | Total context | Input modalities | Thinking |
+| --- | ---: | --- | --- |
+| `MiniMax-M3` | 1,000,000 tokens | Text, image, video | Adaptive or disabled |
+| `MiniMax-M2.7` | 204,800 tokens | Text | Always on |
+
+Current pay-as-you-go prices are in USD per million tokens:
+
+| Model | Service tier and input range | Input | Output | Cache read | Cache write |
+| --- | --- | ---: | ---: | ---: | ---: |
+| `MiniMax-M3` | Standard, up to 512,000 input tokens | $0.30 | $1.20 | $0.06 | Not listed |
+| `MiniMax-M3` | Standard, over 512,000 input tokens | $0.60 | $2.40 | $0.12 | Not listed |
+| `MiniMax-M3` | Priority, up to 512,000 input tokens | $0.45 | $1.80 | $0.09 | Not listed |
+| `MiniMax-M3` | Priority, over 512,000 input tokens | $0.90 | $3.60 | $0.18 | Not listed |
+| `MiniMax-M2.7` | Standard | $0.30 | $1.20 | $0.06 | $0.375 |
+
+See the [official API overview](https://platform.minimax.io/docs/api-reference/api-overview) and [pay-as-you-go pricing](https://platform.minimax.io/docs/guides/pricing-paygo) for current details.
+
 ## 📚 Documentation

 Want to learn more about installation, deployment, configuration, and secondary development?

-**👉 [Complete Documentation](https://doc.pandarobot.chat)**
+**👉 [Complete Documentation](https://doc.ruoyiai.chat/)**

 ## 🤝 Contributing

@@ -213,23 +231,47 @@ This project is licensed under the **MIT License**. See the [LICENSE](LICENSE) f
 ## 🙏 Acknowledgments

 Thanks to the following excellent open-source projects for their support:
- [Spring AI Alibaba Copilot](https://github.com/spring-ai-alibaba/copilot) - Intelligent coding assistant based on spring-ai-alibaba
 - [Langchain4j](https://github.com/langchain4j/langchain4j) - Powerful Java LLM development framework
 - [RuoYi-Vue-Plus](https://gitee.com/dromara/RuoYi-Vue-Plus) - Mature enterprise-level rapid development framework
 - [Vben Admin](https://github.com/vbenjs/vue-vben-admin) - Modern Vue admin template

-## 🌐 Ecosystem Partners
+## 💎 Sponsors

- [PPIO Cloud](https://ppinfra.com/user/register?invited_by=P8QTUY&utm_source=github_ruoyi-ai) - Provides cost-effective GPU computing and model API services
- [Youyun Intelligent Computing](https://www.compshare.cn/?ytag=GPU_YY-gh_ruoyi) - Thousands of RTX40 series GPUs + mainstream models API services, second-level response, pay-per-use, free for new customers.
+**Thanks to the following sponsors for supporting this project:**

+<a href="https://www.atlascloud.ai?ref=89F97E">
+  <img src="docs/image/sponsor/atlascloud_banner.png" alt="Atlas Cloud" width="160" height="80">
+</a>
+
+[Visit Atlas Cloud](https://www.atlascloud.ai?ref=89F97E) · [Coding Plan Promotion](https://www.atlascloud.ai/console/coding-plan)
+A full-modal AI inference platform that gives developers a unified AI API, supporting video generation, image generation, and LLMs. Connect once to access **300+ curated models**.
+
+<a href="https://www.volcengine.com/activity/codingplan?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai">
+  <img src="docs/image/sponsor/huoshan.png" alt="Volcengine CodingPlan" width="160" height="80">
+</a>
+
+[Volcengine CodingPlan Developer Program](https://www.volcengine.com/activity/codingplan?utm_campaign=hw&utm_content=hw&utm_medium=devrel_tool_web&utm_source=OWO&utm_term=ageerle-ruoyi-ai)
+Volcengine is ByteDance's cloud and AI service platform. Volcengine Ark provides API access to Doubao LLM, DeepSeek, and more — a one-stop AI development and inference platform for developers.

 ## 💬 Community Chat

 <div align="center">

-**[📱 Join Telegram Group](
-https://t.me/+LqooQAc5HxRmYmE1)**
+<table>
+<tr>
+<td align="center">
+<img src="docs/image/wx.png" alt="WeChat QR Code" width="200" height="200"><br>
+<strong>Scan to add author on WeChat</strong><br>
+<em>Join group for learning</em>
+</td>
+<td align="center">
+<img src="docs/image/qq.png" alt="QQ Group QR Code" width="200" height="200"><br>
+<strong>QQ Tech Exchange Group</strong><br>
+<em>Technical discussion</em>
+</td>
+
+</tr>
+</table>

 </div>

@@ -237,7 +279,7 @@ https://t.me/+LqooQAc5HxRmYmE1)**

 <div align="center">

-**[⭐ Star to Support](https://github.com/ageerle/ruoyi-ai)** • **[Fork to Contribute](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 中文](README.md)** • **[📖 Complete Documentation](https://doc.pandarobot.chat)**
+**[⭐ Star to Support](https://github.com/ageerle/ruoyi-ai)** • **[Fork to Contribute](https://github.com/ageerle/ruoyi-ai/fork)** • **[📚 中文](README.md)** • **[📖 Complete Documentation](https://doc.ruoyiai.chat/)**

 *Built with ❤️, maintained by the RuoYi AI open-source community*

--- a/docs/docker/ruoyi-ai/Dockerfile.backend
+++ b/docs/docker/ruoyi-ai/Dockerfile.backend
@@ -20,6 +20,22 @@ RUN mvn clean package -Pprod -DskipTests
 # 最终运行镜像
 FROM eclipse-temurin:17-jre-alpine

+RUN set -eux; \
+    apk add --no-cache ffmpeg; \
+    for filter in scale pad fps setsar format tpad trim settb setpts xfade \
+        aresample aformat apad atrim asetpts anullsrc concat acrossfade; do \
+        ffmpeg -hide_banner -filters 2>/dev/null | grep -Eq "[[:space:]]${filter}[[:space:]]"; \
+    done; \
+    ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q dissolve; \
+    ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q fadeblack; \
+    ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q slideleft; \
+    ffmpeg -hide_banner -encoders 2>/dev/null | grep -Eq '[[:space:]]libx264[[:space:]]'; \
+    ffmpeg -hide_banner -encoders 2>/dev/null | grep -Eq '[[:space:]]aac[[:space:]]'; \
+    ffprobe -hide_banner -version >/dev/null
+
+ENV FFMPEG_PATH=/usr/bin/ffmpeg \
+    FFPROBE_PATH=/usr/bin/ffprobe
+
 # 设置工作目录
 WORKDIR /app

@@ -27,10 +43,10 @@ WORKDIR /app
 COPY --from=builder /build/ruoyi-admin/target/ruoyi-admin.jar ./ruoyi-admin.jar

 # 创建日志目录
-RUN mkdir -p /ruoyi/server/logs
+RUN mkdir -p /ruoyi/server/logs /ruoyi/server/temp

 # 暴露端口
 EXPOSE 6039

 # 启动命令
-ENTRYPOINT ["java", "-jar", "ruoyi-admin.jar", "--spring.profiles.active=prod"]
+ENTRYPOINT ["java", "-Djava.io.tmpdir=/ruoyi/server/temp", "-jar", "ruoyi-admin.jar", "--spring.profiles.active=prod"]
--- a/docs/docker/ruoyi-ai/docker-compose-all.yaml
+++ b/docs/docker/ruoyi-ai/docker-compose-all.yaml
@@ -65,7 +65,7 @@ services:
      - "28080:8080"
    environment:
      QUERY_DEFAULTS_LIMIT: 25
-      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: true
+      AUTHENTICATION_ANONYMOUS_ACCESS_ENABLED: "true"
      PERSISTENCE_DATA_PATH: /var/lib/weaviate
      DEFAULT_VECTORIZER_MODULE: none
      ENABLE_MODULES: text2vec-cohere,text2vec-huggingface,text2vec-palm,text2vec-openai,generative-openai,generative-cohere,generative-palm,ref2vec-centroid,reranker-cohere,qna-openai
--- a/docs/image/01.png
+++ b/docs/image/01.png
--- a/docs/image/02.png
+++ b/docs/image/02.png
--- a/docs/image/03.png
+++ b/docs/image/03.png
--- a/docs/image/sponsor/atlascloud_banner.png
+++ b/docs/image/sponsor/atlascloud_banner.png
--- a/docs/image/sponsor/huoshan.png
+++ b/docs/image/sponsor/huoshan.png
--- a/docs/image/wx06.png
+++ b/docs/image/wx06.png
--- a/docs/script/docker/mysql/init/init-db.sh
+++ b/docs/script/docker/mysql/init/init-db.sh
@@ -1,10 +0,0 @@
-#!/bin/bash
-# 数据库初始化脚本
-# 使用 --force 参数确保即使出错也继续执行
-
-echo "开始初始化数据库..."
-
-# 使用 --force 参数忽略错误继续执行
-mysql -uroot -proot ruoyi-ai-agent --force < /docker-entrypoint-initdb.d/ruoyi-ai-v3_mysql8.sql
-
-echo "数据库初始化完成"
--- a/docs/script/install-ffmpeg-windows.ps1
+++ b/docs/script/install-ffmpeg-windows.ps1
@@ -0,0 +1,86 @@
+[CmdletBinding()]
+param(
+    [switch]$Force
+)
+
+$ErrorActionPreference = 'Stop'
+
+function Find-Executable([string]$Name) {
+    $command = Get-Command $Name -ErrorAction SilentlyContinue
+    if ($command) {
+        return $command.Source
+    }
+
+    $roots = @(
+        (Join-Path $env:LOCALAPPDATA 'Microsoft\WinGet\Packages'),
+        (Join-Path $env:USERPROFILE 'scoop\apps\ffmpeg'),
+        'C:\ProgramData\chocolatey\bin',
+        'C:\ffmpeg'
+    )
+    foreach ($root in $roots) {
+        if (-not (Test-Path $root)) { continue }
+        $match = Get-ChildItem -Path $root -Filter "$Name.exe" -Recurse -ErrorAction SilentlyContinue |
+            Select-Object -First 1 -ExpandProperty FullName
+        if ($match) { return $match }
+    }
+    return $null
+}
+
+$ffmpeg = Find-Executable 'ffmpeg'
+$ffprobe = Find-Executable 'ffprobe'
+
+if ($Force -or -not $ffmpeg -or -not $ffprobe) {
+    $winget = Get-Command winget -ErrorAction SilentlyContinue
+    if (-not $winget) {
+        throw '未找到 winget。请先从 Microsoft Store 安装“应用安装程序”，或使用项目 Dockerfile 运行后端。'
+    }
+
+    Write-Host '正在通过 winget 安装 FFmpeg...' -ForegroundColor Cyan
+    & winget install --id Gyan.FFmpeg --exact --source winget `
+        --accept-package-agreements --accept-source-agreements
+    if ($LASTEXITCODE -ne 0) {
+        throw "winget 安装失败，退出码: $LASTEXITCODE"
+    }
+
+    $ffmpeg = Find-Executable 'ffmpeg'
+    $ffprobe = Find-Executable 'ffprobe'
+}
+
+if (-not $ffmpeg -or -not $ffprobe) {
+    throw 'FFmpeg 已安装但未能定位 ffmpeg.exe 或 ffprobe.exe。请重新打开 PowerShell 后再次运行脚本。'
+}
+
+$binDirectory = Split-Path -Parent $ffmpeg
+[Environment]::SetEnvironmentVariable('FFMPEG_PATH', $ffmpeg, 'User')
+[Environment]::SetEnvironmentVariable('FFPROBE_PATH', $ffprobe, 'User')
+
+$userPath = [Environment]::GetEnvironmentVariable('Path', 'User')
+$pathParts = @($userPath -split ';' | Where-Object { $_ })
+if ($pathParts -notcontains $binDirectory) {
+    $newPath = (@($pathParts) + $binDirectory) -join ';'
+    [Environment]::SetEnvironmentVariable('Path', $newPath, 'User')
+}
+
+$env:FFMPEG_PATH = $ffmpeg
+$env:FFPROBE_PATH = $ffprobe
+if (($env:Path -split ';') -notcontains $binDirectory) {
+    $env:Path = "$binDirectory;$env:Path"
+}
+
+Write-Host "ffmpeg:  $ffmpeg" -ForegroundColor Green
+Write-Host "ffprobe: $ffprobe" -ForegroundColor Green
+
+& $ffmpeg -hide_banner -version | Select-Object -First 1
+& $ffprobe -hide_banner -version | Select-Object -First 1
+
+$encoders = & $ffmpeg -hide_banner -encoders 2>&1 | Out-String
+if ($encoders -notmatch '\blibx264\b') {
+    throw '当前 FFmpeg 不包含 libx264 编码器，无法满足短剧合成配置。'
+}
+if ($encoders -notmatch '\baac\b') {
+    throw '当前 FFmpeg 不包含 AAC 编码器，无法满足短剧合成配置。'
+}
+
+Write-Host ''
+Write-Host '安装与配置完成。请完全重启 IntelliJ IDEA 和 ruoyi-ai 后端服务。' -ForegroundColor Yellow
+Write-Host '重启后，Spring 将从 FFMPEG_PATH 和 FFPROBE_PATH 读取绝对路径。'
--- a/docs/script/sql/ruoyi-ai-v3_mysql8.sql
+++ b/docs/script/sql/ruoyi-ai-v3_mysql8.sql
--- a/pom.xml
+++ b/pom.xml
@@ -13,7 +13,7 @@
    <description>全栈式AI开发平台</description>

    <properties>
-        <revision>3.0.0</revision>
+        <revision>3.1.0</revision>
        <spring-boot.version>3.5.8</spring-boot.version>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
@@ -54,17 +54,21 @@
        <!-- Jackson XML -->
        <jackson-dataformat-xml.version>2.18.2</jackson-dataformat-xml.version>
        <!-- AI 相关依赖 -->
-        <langchain4j.version>1.13.0</langchain4j.version>
-        <langchain4j.community.version>1.13.0-beta23</langchain4j.community.version>
-        <langgraph4j.version>1.5.3</langgraph4j.version>
+
+        <langchain4j.version>1.17.2</langchain4j.version>
+        <langchain4j.beta.version>1.17.2-beta27</langchain4j.beta.version>
+        <langchain4j.community.version>1.17.0-beta27</langchain4j.community.version>
+        <langgraph4j.version>1.8.20</langgraph4j.version>
+
        <weaviate.version>1.19.6</weaviate.version>
-        <dify.version>1.0.7</dify.version>
+        <dify.version>1.2.7</dify.version>
+        <coze.version>0.4.2</coze.version>
+
        <!-- gRPC 版本 - 解决 Milvus SDK 依赖冲突 -->
        <grpc.version>1.62.2</grpc.version>
        <!-- Apache Commons Compress - 用于POI处理ZIP格式 -->
        <commons-compress.version>1.27.1</commons-compress.version>

-
        <avatar-generator.version>1.1.0</avatar-generator.version>
        <jsoup.version>1.21.2</jsoup.version>
        <knife4j.version>4.4.0</knife4j.version>
--- a/ruoyi-admin/Dockerfile
+++ b/ruoyi-admin/Dockerfile
@@ -1,31 +1,59 @@
-# 贝尔实验室 Spring 官方推荐镜像 JDK下载地址 https://bell-sw.com/pages/downloads/
+# FFmpeg-enabled variant of ruoyi-admin/Dockerfile.
 FROM bellsoft/liberica-openjdk-rocky:17.0.16-cds
-#FROM bellsoft/liberica-openjdk-rocky:21.0.8-cds
-#FROM findepi/graalvm:java17-native

 LABEL maintainer="Lion Li"

+# Rocky base repositories do not provide the full codec build. RPM Fusion Free
+# supplies ffmpeg with libx264, while the checks below prevent a reduced build
+# from reaching production unnoticed.
+RUN set -eux; \
+    dnf -y install dnf-plugins-core epel-release; \
+    . /etc/os-release; \
+    rocky_major="${VERSION_ID%%.*}"; \
+    if [ "${rocky_major}" -ge 9 ]; then \
+        dnf config-manager --set-enabled crb; \
+    else \
+        dnf config-manager --set-enabled powertools; \
+    fi; \
+    dnf -y install "https://mirrors.rpmfusion.org/free/el/rpmfusion-free-release-${rocky_major}.noarch.rpm"; \
+    dnf -y install ffmpeg; \
+    for filter in scale pad fps setsar format tpad trim settb setpts xfade \
+        aresample aformat apad atrim asetpts anullsrc concat acrossfade; do \
+        ffmpeg -hide_banner -filters 2>/dev/null | grep -Eq "[[:space:]]${filter}[[:space:]]"; \
+    done; \
+    ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q dissolve; \
+    ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q fadeblack; \
+    ffmpeg -hide_banner -h filter=xfade 2>&1 | grep -q slideleft; \
+    ffmpeg -hide_banner -encoders 2>/dev/null | grep -Eq '[[:space:]]libx264[[:space:]]'; \
+    ffmpeg -hide_banner -encoders 2>/dev/null | grep -Eq '[[:space:]]aac[[:space:]]'; \
+    ffprobe -hide_banner -version >/dev/null; \
+    dnf clean all; \
+    rm -rf /var/cache/dnf
+
 RUN mkdir -p /ruoyi/server/logs \
    /ruoyi/server/temp \
    /ruoyi/skywalking/agent

 WORKDIR /ruoyi/server

-ENV SERVER_PORT=8080 SNAIL_PORT=28080 LANG=C.UTF-8 LC_ALL=C.UTF-8 JAVA_OPTS=""
+ENV SERVER_PORT=8080 \
+    SNAIL_PORT=28080 \
+    LANG=C.UTF-8 \
+    LC_ALL=C.UTF-8 \
+    JAVA_OPTS="" \
+    FFMPEG_PATH=/usr/bin/ffmpeg \
+    FFPROBE_PATH=/usr/bin/ffprobe

 EXPOSE ${SERVER_PORT}
-# 暴露 snail job 客户端端口 用于定时任务调度中心通信
 EXPOSE ${SNAIL_PORT}

 ADD ./target/ruoyi-admin.jar ./app.jar

 SHELL ["/bin/bash", "-c"]

-ENTRYPOINT java -Djava.security.egd=file:/dev/./urandom -Dserver.port=${SERVER_PORT} \
+ENTRYPOINT java -Djava.security.egd=file:/dev/./urandom \
+           -Djava.io.tmpdir=/ruoyi/server/temp \
+           -Dserver.port=${SERVER_PORT} \
           -Dsnail-job.port=${SNAIL_PORT} \
-           # 应用名称 如果想区分集群节点监控 改成不同的名称即可
-           #-Dskywalking.agent.service_name=ruoyi-server \
-           #-javaagent:/ruoyi/skywalking/agent/skywalking-agent.jar \
           -XX:+HeapDumpOnOutOfMemoryError -XX:+UseZGC ${JAVA_OPTS} \
           -jar app.jar
-
--- a/ruoyi-admin/src/main/resources/application-dev.yml
+++ b/ruoyi-admin/src/main/resources/application-dev.yml
@@ -27,12 +27,12 @@ snail-job:
  enabled: false
  # 需要在 SnailJob 后台组管理创建对应名称的组,然后创建任务的时候选择对应的组,才能正确分派任务
  group: "ruoyi_group"
-  # SnailJob 接入验证令牌 详见 script/sql/ry_job.sql `sj_group_config` 表
+  # SnailJob 接入验证令牌 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_group_config` 表
  token: "SJ_cKqBTPzCsWA3VyuCfFoccmuIEGXjr5KT"
  server:
    host: 127.0.0.1
    port: 17888
-  # 命名空间UUID 详见 script/sql/ry_job.sql `sj_namespace`表`unique_id`字段
+  # 命名空间UUID 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_namespace`表`unique_id`字段
  namespace: ${spring.profiles.active}
  # 随主应用端口漂移
  port: 2${server.port}
--- a/ruoyi-admin/src/main/resources/application-prod.yml
+++ b/ruoyi-admin/src/main/resources/application-prod.yml
@@ -28,12 +28,12 @@ snail-job:
  enabled: false
  # 需要在 SnailJob 后台组管理创建对应名称的组,然后创建任务的时候选择对应的组,才能正确分派任务
  group: "ruoyi_group"
-  # SnailJob 接入验证令牌 详见 script/sql/ry_job.sql `sj_group_config` 表
+  # SnailJob 接入验证令牌 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_group_config` 表
  token: "SJ_cKqBTPzCsWA3VyuCfFoccmuIEGXjr5KT"
  server:
    host: 127.0.0.1
    port: 17888
-  # 命名空间UUID 详见 script/sql/ry_job.sql `sj_namespace`表`unique_id`字段
+  # 命名空间UUID 详见 docs/script/sql/ruoyi-ai-v3_mysql8.sql `sj_namespace`表`unique_id`字段
  namespace: ${spring.profiles.active}
  # 随主应用端口漂移
  port: 2${server.port}
--- a/ruoyi-admin/src/main/resources/application.yml
+++ b/ruoyi-admin/src/main/resources/application.yml
@@ -265,7 +265,7 @@ demo:
  # 是否开启演示模式（开启后所有写操作将被拦截）
  enabled: false
  # 提示消息
-  message: "演示模式，不允许进行写操作"
+  message: "演示模式，不允许操作"
  # 排除的路径（这些路径不受演示模式限制）
  excludes:
    - /login
@@ -276,7 +276,9 @@ demo:
    - /chat/send
    - /system/session/**
    - /system/message/**
-
+    - /system/attach/**
+    - /system/fragment/**
+    - /system/info/**
 --- # warm-flow工作流配置
 warm-flow:
  # 是否开启工作流，默认true
@@ -311,3 +313,37 @@ vector-store:
    collectionname: LocalKnowledge
    api-key:
    use-tls: false
+
+# 短剧成片合成
+short-drama:
+  composition:
+    ffmpeg-path: ${FFMPEG_PATH:ffmpeg}
+    ffprobe-path: ${FFPROBE_PATH:ffprobe}
+    fps: ${SHORT_DRAMA_COMPOSITION_FPS:30}
+    audio-sample-rate: ${SHORT_DRAMA_COMPOSITION_AUDIO_SAMPLE_RATE:48000}
+    video-codec: ${SHORT_DRAMA_COMPOSITION_VIDEO_CODEC:libx264}
+    audio-codec: ${SHORT_DRAMA_COMPOSITION_AUDIO_CODEC:aac}
+    preset: ${SHORT_DRAMA_COMPOSITION_PRESET:medium}
+    crf: ${SHORT_DRAMA_COMPOSITION_CRF:20}
+    audio-bitrate: ${SHORT_DRAMA_COMPOSITION_AUDIO_BITRATE:192k}
+    max-clips: ${SHORT_DRAMA_COMPOSITION_MAX_CLIPS:100}
+    max-transition-seconds: ${SHORT_DRAMA_COMPOSITION_MAX_TRANSITION_SECONDS:2.0}
+    minimum-output-bytes: ${SHORT_DRAMA_COMPOSITION_MINIMUM_OUTPUT_BYTES:1024}
+    max-process-output-bytes: ${SHORT_DRAMA_COMPOSITION_MAX_PROCESS_OUTPUT_BYTES:1048576}
+    max-source-bytes: ${SHORT_DRAMA_COMPOSITION_MAX_SOURCE_BYTES:536870912}
+    max-total-source-bytes: ${SHORT_DRAMA_COMPOSITION_MAX_TOTAL_SOURCE_BYTES:2147483648}
+    probe-timeout: ${SHORT_DRAMA_COMPOSITION_PROBE_TIMEOUT:30s}
+    process-timeout: ${SHORT_DRAMA_COMPOSITION_PROCESS_TIMEOUT:30m}
+    job-stale-after: ${SHORT_DRAMA_COMPOSITION_JOB_STALE_AFTER:45m}
+    worker-core-size: ${SHORT_DRAMA_COMPOSITION_WORKER_CORE_SIZE:1}
+    worker-max-size: ${SHORT_DRAMA_COMPOSITION_WORKER_MAX_SIZE:2}
+    worker-queue-capacity: ${SHORT_DRAMA_COMPOSITION_WORKER_QUEUE_CAPACITY:8}
+    storage-mode: ${SHORT_DRAMA_COMPOSITION_STORAGE_MODE:local}
+    local-output-directory: ${SHORT_DRAMA_COMPOSITION_LOCAL_OUTPUT_DIRECTORY:logs/short-drama-compositions}
+    download:
+      connect-timeout: ${SHORT_DRAMA_DOWNLOAD_CONNECT_TIMEOUT:30s}
+      call-timeout: ${SHORT_DRAMA_DOWNLOAD_CALL_TIMEOUT:10m}
+      max-redirects: ${SHORT_DRAMA_DOWNLOAD_MAX_REDIRECTS:5}
+      # 生产环境建议配置为视频供应商或 OSS/CDN 域名，多个值用逗号分隔。
+      allowed-hosts: ${SHORT_DRAMA_DOWNLOAD_ALLOWED_HOSTS:}
+      fake-ip-allowed-hosts: ${SHORT_DRAMA_DOWNLOAD_FAKE_IP_ALLOWED_HOSTS:atlas-media.oss-us-west-1.aliyuncs.com}
--- a/ruoyi-common/ruoyi-common-bom/pom.xml
+++ b/ruoyi-common/ruoyi-common-bom/pom.xml
@@ -14,7 +14,7 @@
    </description>

    <properties>
-        <revision>3.0.0</revision>
+        <revision>3.1.0</revision>
    </properties>

    <dependencyManagement>
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/domain/bo/chat/ModelBatchKeyBo.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/domain/bo/chat/ModelBatchKeyBo.java
@@ -0,0 +1,30 @@
+package org.ruoyi.common.chat.domain.bo.chat;
+
+import jakarta.validation.constraints.NotBlank;
+import lombok.Data;
+import lombok.EqualsAndHashCode;
+import org.ruoyi.common.mybatis.core.domain.BaseEntity;
+
+/**
+ * 按厂商批量更新密钥业务对象
+ *
+ * @author ageerle
+ * @date 2025-12-14
+ */
+@Data
+@EqualsAndHashCode(callSuper = true)
+public class ModelBatchKeyBo extends BaseEntity {
+
+    /**
+     * 模型供应商
+     */
+    @NotBlank(message = "厂商编码不能为空")
+    private String providerCode;
+
+    /**
+     * 密钥
+     */
+    @NotBlank(message = "密钥不能为空")
+    private String apiKey;
+
+}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/domain/dto/request/ChatRequest.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/domain/dto/request/ChatRequest.java
@@ -21,9 +21,19 @@ import java.util.List;
@Data
 public class ChatRequest {

-    @NotEmpty(message = "传入的模型不能为空")
+    /**
+     * 模型名称。
+     * 智能体模式下可缺省：传 agentId 时后端按智能体绑定的模型解析，此字段仅作回退。
+     */
    private String model;

+    /**
+     * 智能体ID。传入时后端按智能体配置解析模型/工具/技能/知识库/提示词/是否深度思考。
+     */
+    @JsonSerialize(using = ToStringSerializer.class)
+    @JSONField(serializeUsing = String.class)
+    private Long agentId;
+
    /**
     * 对话消息
     */
@@ -35,16 +45,6 @@ public class ChatRequest {
     */
    private WorkFlowRunner workFlowRunner;

-    /**
-     * 人机交互信息体
-     */
-    private ReSumeRunner reSumeRunner;
-
-    /**
-     * 是否为人机交互用户继续输入
-     */
-    private Boolean isResume = false;
-
    /**
     * 是否启用工作流
     */
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/domain/dto/request/ReSumeRunner.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/domain/dto/request/ReSumeRunner.java
@@ -1,19 +0,0 @@
-package org.ruoyi.common.chat.domain.dto.request;
-
-import lombok.Data;
-
-/**
- * 人机交互输入信息
- */
-@Data
-public class ReSumeRunner {
-    /**
-     * 运行节点UUID
-     */
-    private String runtimeUuid;
-
-    /**
-     * 人机交互用户输入信息
-     */
-    private String feedbackContent;
-}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/audio/AudioContext.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/audio/AudioContext.java
@@ -0,0 +1,29 @@
+package org.ruoyi.common.chat.entity.audio;
+
+import jakarta.validation.constraints.NotBlank;
+import jakarta.validation.constraints.NotNull;
+import lombok.Builder;
+import lombok.Data;
+import org.ruoyi.common.chat.domain.vo.chat.ChatModelVo;
+
+/**
+ * Text-to-speech context.
+ */
+@Data
+@Builder
+public class AudioContext {
+
+    @NotNull(message = "模型配置不能为空")
+    private ChatModelVo chatModelVo;
+
+    @NotBlank(message = "输入文本不能为空")
+    private String input;
+
+    private String voice;
+
+    private String responseFormat;
+
+    private Double speed;
+
+    private String instructions;
+}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/image/ImageContext.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/image/ImageContext.java
@@ -42,4 +42,9 @@ public class ImageContext {
    @Min(value = 0, message = "随机数种子不能小于0")
    @Max(value = 2147483647, message = "随机数种子不能大于2147483647")
    private Integer seed;
+
+    /**
+     * 参考图 URL（图生图用）
+     */
+    private String image;
 }
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/media/MediaGenerationResponse.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/media/MediaGenerationResponse.java
@@ -0,0 +1,28 @@
+package org.ruoyi.common.chat.entity.media;
+
+import lombok.Builder;
+import lombok.Data;
+
+/**
+ * Unified media generation response.
+ */
+@Data
+@Builder
+public class MediaGenerationResponse {
+
+    private String type;
+
+    private String mimeType;
+
+    private String url;
+
+    private String b64Json;
+
+    private String dataUrl;
+
+    private String id;
+
+    private String status;
+
+    private String rawResponse;
+}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/video/VideoContext.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/entity/video/VideoContext.java
@@ -0,0 +1,35 @@
+package org.ruoyi.common.chat.entity.video;
+
+import jakarta.validation.constraints.NotBlank;
+import jakarta.validation.constraints.NotNull;
+import lombok.Builder;
+import lombok.Data;
+import org.ruoyi.common.chat.domain.vo.chat.ChatModelVo;
+
+/**
+ * Text-to-video context.
+ */
+@Data
+@Builder
+public class VideoContext {
+
+    @NotNull(message = "模型配置不能为空")
+    private ChatModelVo chatModelVo;
+
+    @NotBlank(message = "提示词不能为空")
+    private String prompt;
+
+    private String size;
+
+    private Integer seconds;
+
+    private String quality;
+
+    /** 参考图 URL（图生视频模式，单图） */
+    private String imageUrl;
+
+    /** 多参考图 URL（多参考图生视频模式，配合 @imageN prompt 使用） */
+    private java.util.List<String> referenceImages;
+
+    private String videoId;
+}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/factory/AudioServiceFactory.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/factory/AudioServiceFactory.java
@@ -0,0 +1,40 @@
+package org.ruoyi.common.chat.factory;
+
+import org.ruoyi.common.chat.service.audio.IAudioGenerationService;
+import org.springframework.beans.BeansException;
+import org.springframework.context.ApplicationContext;
+import org.springframework.context.ApplicationContextAware;
+import org.springframework.stereotype.Component;
+
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+
+/**
+ * Text-to-speech service factory.
+ */
+@Component
+public class AudioServiceFactory implements ApplicationContextAware {
+
+    private final Map<String, IAudioGenerationService> audioServiceMap = new ConcurrentHashMap<>();
+
+    @Override
+    public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
+        Map<String, IAudioGenerationService> serviceMap = applicationContext.getBeansOfType(IAudioGenerationService.class);
+        for (IAudioGenerationService service : serviceMap.values()) {
+            if (service != null) {
+                audioServiceMap.put(service.getProviderName(), service);
+            }
+        }
+    }
+
+    public IAudioGenerationService getOriginalService(String providerCode) {
+        IAudioGenerationService service = audioServiceMap.get(providerCode);
+        if (service == null && "custom_api".equals(providerCode)) {
+            service = audioServiceMap.get("openai");
+        }
+        if (service == null) {
+            throw new IllegalArgumentException("不支持的语音模型供应商: " + providerCode);
+        }
+        return service;
+    }
+}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/factory/ImageServiceFactory.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/factory/ImageServiceFactory.java
@@ -37,6 +37,9 @@ public class ImageServiceFactory implements ApplicationContextAware {
     */
    public IImageGenerationService getOriginalService(String category) {
        IImageGenerationService service = imageSerivceMap.get(category);
+        if (service == null && "custom_api".equals(category)) {
+            service = imageSerivceMap.get("openai");
+        }
        if (service == null) {
            throw new IllegalArgumentException("不支持的模型类别: " + category);
        }
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/factory/VideoServiceFactory.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/factory/VideoServiceFactory.java
@@ -0,0 +1,40 @@
+package org.ruoyi.common.chat.factory;
+
+import org.ruoyi.common.chat.service.video.IVideoGenerationService;
+import org.springframework.beans.BeansException;
+import org.springframework.context.ApplicationContext;
+import org.springframework.context.ApplicationContextAware;
+import org.springframework.stereotype.Component;
+
+import java.util.Map;
+import java.util.concurrent.ConcurrentHashMap;
+
+/**
+ * Text-to-video service factory.
+ */
+@Component
+public class VideoServiceFactory implements ApplicationContextAware {
+
+    private final Map<String, IVideoGenerationService> videoServiceMap = new ConcurrentHashMap<>();
+
+    @Override
+    public void setApplicationContext(ApplicationContext applicationContext) throws BeansException {
+        Map<String, IVideoGenerationService> serviceMap = applicationContext.getBeansOfType(IVideoGenerationService.class);
+        for (IVideoGenerationService service : serviceMap.values()) {
+            if (service != null) {
+                videoServiceMap.put(service.getProviderName(), service);
+            }
+        }
+    }
+
+    public IVideoGenerationService getOriginalService(String providerCode) {
+        IVideoGenerationService service = videoServiceMap.get(providerCode);
+        if (service == null && "custom_api".equals(providerCode)) {
+            service = videoServiceMap.get("openai");
+        }
+        if (service == null) {
+            throw new IllegalArgumentException("不支持的视频模型供应商: " + providerCode);
+        }
+        return service;
+    }
+}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/audio/IAudioGenerationService.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/audio/IAudioGenerationService.java
@@ -0,0 +1,15 @@
+package org.ruoyi.common.chat.service.audio;
+
+import jakarta.validation.Valid;
+import org.ruoyi.common.chat.entity.audio.AudioContext;
+import org.ruoyi.common.chat.entity.media.MediaGenerationResponse;
+
+/**
+ * Public text-to-speech service.
+ */
+public interface IAudioGenerationService {
+
+    MediaGenerationResponse generateSpeech(@Valid AudioContext audioContext);
+
+    String getProviderName();
+}
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/chat/IChatModelService.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/chat/IChatModelService.java
@@ -73,4 +73,13 @@ public interface IChatModelService {
     * @return 是否删除成功
     */
    Boolean deleteWithValidByIds(Collection<Long> ids, Boolean isValid);
+
+    /**
+     * 按厂商批量更新密钥
+     *
+     * @param providerCode 厂商编码
+     * @param apiKey       密钥
+     * @return 是否更新成功
+     */
+    Boolean updateApiKeyByProvider(String providerCode, String apiKey);
 }
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/image/IImageGenerationService.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/image/IImageGenerationService.java
@@ -2,6 +2,8 @@ package org.ruoyi.common.chat.service.image;

 import jakarta.validation.Valid;
 import org.ruoyi.common.chat.entity.image.ImageContext;
+import org.ruoyi.common.chat.entity.media.MediaGenerationResponse;
+import org.ruoyi.common.chat.domain.vo.chat.ChatModelVo;

 /**
 * 公共文生图接口
@@ -9,10 +11,31 @@ import org.ruoyi.common.chat.entity.image.ImageContext;
 public interface IImageGenerationService {

    /**
-     * 根据文字生成图片
+     * 根据文字生成图片（同步阻塞，返回 URL）
     */
    String generateImage(@Valid ImageContext imageContext);

+    /**
+     * 异步启动图片生成（返回 prediction 信息，用于轮询进度）
+     * 默认回退到同步模式
+     */
+    default MediaGenerationResponse startImageGeneration(@Valid ImageContext imageContext) {
+        String url = generateImage(imageContext);
+        return MediaGenerationResponse.builder()
+            .type("image")
+            .url(url)
+            .status("completed")
+            .build();
+    }
+
+    /**
+     * 上传图生图/图生视频使用的临时媒体文件。
+     * 不支持上传的供应商保持默认异常，避免静默回退到错误存储。
+     */
+    default String uploadMedia(ChatModelVo model, byte[] content, String fileName, String contentType) {
+        throw new UnsupportedOperationException("当前图片供应商不支持临时媒体上传");
+    }
+
    /**
     * 获取服务提供商名称
     */
--- a/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/video/IVideoGenerationService.java
+++ b/ruoyi-common/ruoyi-common-chat/src/main/java/org/ruoyi/common/chat/service/video/IVideoGenerationService.java
@@ -0,0 +1,17 @@
+package org.ruoyi.common.chat.service.video;
+
+import jakarta.validation.Valid;
+import org.ruoyi.common.chat.entity.media.MediaGenerationResponse;
+import org.ruoyi.common.chat.entity.video.VideoContext;
+
+/**
+ * Public text-to-video service.
+ */
+public interface IVideoGenerationService {
+
+    MediaGenerationResponse generateVideo(@Valid VideoContext videoContext);
+
+    MediaGenerationResponse retrieveVideo(@Valid VideoContext videoContext);
+
+    String getProviderName();
+}
--- a/ruoyi-common/ruoyi-common-core/src/main/java/org/ruoyi/common/core/config/ThreadPoolConfig.java
+++ b/ruoyi-common/ruoyi-common-core/src/main/java/org/ruoyi/common/core/config/ThreadPoolConfig.java
@@ -10,6 +10,7 @@ import org.springframework.boot.context.properties.EnableConfigurationProperties
 import org.springframework.context.annotation.Bean;
 import org.springframework.core.task.VirtualThreadTaskExecutor;

+import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
 import java.util.concurrent.*;

 /**
@@ -22,6 +23,12 @@ import java.util.concurrent.*;
@EnableConfigurationProperties(ThreadPoolProperties.class)
 public class ThreadPoolConfig {

+    private final ThreadPoolProperties properties;
+
+    public ThreadPoolConfig(ThreadPoolProperties properties) {
+        this.properties = properties;
+    }
+
    /**
     * 核心线程数 = cpu 核心数 + 1
     */
@@ -54,6 +61,22 @@ public class ThreadPoolConfig {
        return scheduledThreadPoolExecutor;
    }

+    /**
+     * 知识库解析专用异步线程池
+     */
+    @Bean(name = "knowledgeParseExecutor")
+    public ThreadPoolTaskExecutor knowledgeParseExecutor() {
+        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+        executor.setCorePoolSize(core);
+        executor.setMaxPoolSize(core * 2);
+        executor.setQueueCapacity(properties.getQueueCapacity());
+        executor.setKeepAliveSeconds(properties.getKeepAliveSeconds());
+        executor.setThreadNamePrefix("knowledge-parse-pool-");
+        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.CallerRunsPolicy());
+        executor.initialize();
+        return executor;
+    }
+
    /**
     * 销毁事件
     * 停止线程池
--- a/ruoyi-common/ruoyi-common-core/src/main/java/org/ruoyi/common/core/service/OssService.java
+++ b/ruoyi-common/ruoyi-common-core/src/main/java/org/ruoyi/common/core/service/OssService.java
@@ -1,8 +1,11 @@
 package org.ruoyi.common.core.service;

+import jakarta.servlet.http.HttpServletResponse;
 import org.ruoyi.common.core.domain.dto.OssDTO;
 import org.springframework.web.multipart.MultipartFile;

+import java.io.File;
+import java.io.IOException;
 import java.util.List;

 /**
@@ -33,5 +36,19 @@ public interface OssService {
     */
    OssDTO uploadFile(MultipartFile file);

+    /**
+     * Upload a server-side file without buffering the complete payload in memory.
+     */
+    OssDTO uploadFile(File file);
+
+    /**
+     * Stream an object as an authenticated attachment response.
+     */
+    void downloadFile(Long ossId, HttpServletResponse response) throws IOException;
+
+    /**
+     * Delete one object and its sys_oss metadata.
+     */
+    Boolean deleteFile(Long ossId);

 }
--- a/ruoyi-common/ruoyi-common-oss/src/main/java/org/ruoyi/common/oss/core/OssClient.java
+++ b/ruoyi-common/ruoyi-common-oss/src/main/java/org/ruoyi/common/oss/core/OssClient.java
@@ -310,7 +310,7 @@ public class OssClient {
            client.deleteObject(
                x -> x.bucket(properties.getBucketName())
                    .key(removeBaseUrl(path))
-                    .build());
+                    .build()).join();
        } catch (Exception e) {
            throw new OssException("删除文件失败，请检查配置信息:[" + e.getMessage() + "]");
        }
--- a/ruoyi-modules/ruoyi-aiflow/src/main/java/org/ruoyi/workflow/workflow/WorkflowEngine.java
+++ b/ruoyi-modules/ruoyi-aiflow/src/main/java/org/ruoyi/workflow/workflow/WorkflowEngine.java
@@ -265,10 +265,6 @@ public class WorkflowEngine {
                String node = streamingOutput.node();
                String chunk = streamingOutput.chunk();
                log.info("node:{},chunk:{}", node, chunk);
-                Map<String, String> strMap = new HashMap<>();
-                strMap.put("ck", chunk);
-//                SSEEmitterHelper.parseAndSendPartialMsg(sseEmitter, "[NODE_CHUNK_" + node + "]", strMap.toString());
-
                SSEEmitterHelper.parseAndSendPartialMsg(sseEmitter, "[NODE_CHUNK_" + node + "]", chunk);
            } else {
                AbstractWfNode abstractWfNode = wfState.getCompletedNodes().stream()
--- a/ruoyi-modules/ruoyi-chat/docs/MCP工具模块接口文档.md
+++ b/ruoyi-modules/ruoyi-chat/docs/MCP工具模块接口文档.md
@@ -1,336 +0,0 @@
-# MCP工具管理模块 - API接口文档
-
-## 概述
-
-本文档描述了MCP工具管理模块的REST API接口，供前端开发人员参考。
-
-## 基础信息
-
- **Base URL**: `/api/mcp`
- **认证方式**: Bearer Token (SaToken)
- **响应格式**: JSON
-
---
-
-## 1. MCP工具管理
-
-### 1.1 查询工具列表（分页）
-
-**接口**: `GET /tool/list`
-
-**权限**: `mcp:tool:list`
-
-**请求参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| name | String | 否 | 工具名称（模糊查询） |
-| description | String | 否 | 工具描述（模糊查询） |
-| type | String | 否 | 工具类型：LOCAL/REMOTE/BUILTIN |
-| status | String | 否 | 状态：0-启用, 1-禁用 |
-| pageNum | Integer | 是 | 页码，默认1 |
-| pageSize | Integer | 是 | 每页数量，默认10 |
-
-**响应示例**:
-```json
-{
-  "rows": [
-    {
-      "id": 1,
-      "name": "ReadFileTool",
-      "description": "读取文件内容工具",
-      "type": "BUILTIN",
-      "status": "0",
-      "configJson": null,
-      "createTime": "2026-03-08 10:00:00",
-      "updateTime": "2026-03-08 10:00:00"
-    }
-  ],
-  "total": 1
-}
-```
-
-### 1.2 查询工具列表（不分页）
-
-**接口**: `GET /tool/all`
-
-**权限**: `mcp:tool:list`
-
-**请求参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| keyword | String | 否 | 关键词 |
-| type | String | 否 | 工具类型 |
-| status | String | 否 | 状态 |
-
-**响应示例**:
-```json
-{
-  "tools": [
-    {
-      "id": 1,
-      "name": "ReadFileTool",
-      "description": "读取文件内容工具",
-      "type": "BUILTIN",
-      "status": "0"
-    }
-  ],
-  "total": 1
-}
-```
-
-### 1.3 获取工具详情
-
-**接口**: `GET /tool/{id}`
-
-**权限**: `mcp:tool:query`
-
-**路径参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| id | Long | 是 | 工具ID |
-
-### 1.4 新增工具
-
-**接口**: `POST /tool`
-
-**权限**: `mcp:tool:add`
-
-**请求体**:
-```json
-{
-  "name": "MyMcpTool",
-  "description": "我的MCP工具",
-  "type": "REMOTE",
-  "status": "0",
-  "configJson": "{\"baseUrl\": \"http://localhost:8080/mcp\"}"
-}
-```
-
-### 1.5 修改工具
-
-**接口**: `PUT /tool`
-
-**权限**: `mcp:tool:edit`
-
-**请求体**: 同新增工具
-
-### 1.6 删除工具
-
-**接口**: `DELETE /tool/{ids}`
-
-**权限**: `mcp:tool:remove`
-
-**路径参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| ids | String | 是 | 工具ID，多个用逗号分隔 |
-
-### 1.7 更新工具状态
-
-**接口**: `PUT /tool/{id}/status`
-
-**权限**: `mcp:tool:edit`
-
-**路径参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| id | Long | 是 | 工具ID |
-
-**请求参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| status | String | 是 | 状态：0-启用, 1-禁用 |
-
-### 1.8 测试工具连接
-
-**接口**: `POST /tool/{id}/test`
-
-**权限**: `mcp:tool:query`
-
-**响应示例**:
-```json
-{
-  "success": true,
-  "message": "连接测试成功",
-  "toolCount": 5,
-  "tools": ["tool1", "tool2", "tool3", "tool4", "tool5"]
-}
-```
-
---
-
-## 2. MCP市场管理
-
-### 2.1 查询市场列表
-
-**接口**: `GET /market/list`
-
-**权限**: `mcp:market:list`
-
-**请求参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| name | String | 否 | 市场名称 |
-| description | String | 否 | 市场描述 |
-| status | String | 否 | 状态 |
-| pageNum | Integer | 是 | 页码 |
-| pageSize | Integer | 是 | 每页数量 |
-
-### 2.2 获取市场工具列表
-
-**接口**: `GET /market/{marketId}/tools`
-
-**权限**: `mcp:market:query`
-
-**路径参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| marketId | Long | 是 | 市场ID |
-
-**请求参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| page | Integer | 否 | 页码，默认1 |
-| size | Integer | 否 | 每页数量，默认10 |
-
-### 2.3 刷新市场工具
-
-**接口**: `POST /market/{marketId}/refresh`
-
-**权限**: `mcp:market:edit`
-
-**响应示例**:
-```json
-{
-  "success": true,
-  "message": "刷新成功",
-  "addedCount": 3,
-  "updatedCount": 5
-}
-```
-
-### 2.4 加载工具到本地
-
-**接口**: `POST /market/tool/{toolId}/load`
-
-**权限**: `mcp:market:edit`
-
-**路径参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| toolId | Long | 是 | 市场工具ID |
-
-### 2.5 批量加载工具
-
-**接口**: `POST /market/tools/batchLoad`
-
-**权限**: `mcp:market:edit`
-
-**请求体**:
-```json
-{
-  "toolIds": [1, 2, 3]
-}
-```
-
---
-
-## 3. 工具调用日志
-
-### 3.1 查询调用日志
-
-**接口**: `GET /tool/callLog`
-
-**权限**: `mcp:tool:query`
-
-**请求参数**:
-| 参数名 | 类型 | 必填 | 说明 |
-|--------|------|------|------|
-| toolId | Long | 否 | 工具ID |
-| sessionId | Long | 否 | 会话ID |
-| startDate | Date | 否 | 开始日期 |
-| endDate | Date | 否 | 结束日期 |
-| pageNum | Integer | 是 | 页码 |
-| pageSize | Integer | 是 | 每页数量 |
-
-### 3.2 获取工具统计
-
-**接口**: `GET /tool/{toolId}/metrics`
-
-**权限**: `mcp:tool:query`
-
-**响应示例**:
-```json
-{
-  "toolId": 1,
-  "toolName": "ReadFileTool",
-  "today": {
-    "callCount": 100,
-    "successCount": 95,
-    "failureCount": 5,
-    "avgDurationMs": 150,
-    "successRate": 95.0
-  },
-  "week": {
-    "callCount": 500,
-    "successCount": 475,
-    "failureCount": 25,
-    "avgDurationMs": 160,
-    "successRate": 95.0
-  }
-}
-```
-
---
-
-## 4. 状态码说明
-
-| 状态码 | 说明 |
-|--------|------|
-| 200 | 请求成功 |
-| 401 | 未认证 |
-| 403 | 无权限 |
-| 404 | 资源不存在 |
-| 500 | 服务器错误 |
-
---
-
-## 5. 前端页面需求
-
-### 5.1 MCP工具管理页面 (`/mcp/tool`)
-
-**功能**:
- 工具列表展示（分页）
- 工具搜索和筛选
- 新增/编辑/删除工具
- 工具状态切换
- 工具连接测试
-
-**表格列**:
- 工具名称
- 工具描述
- 工具类型（标签显示）
- 状态（开关）
- 创建时间
- 操作（编辑、删除、测试）
-
-### 5.2 MCP市场管理页面 (`/mcp/market`)
-
-**功能**:
- 市场列表展示
- 市场工具浏览
- 刷新市场工具
- 加载工具到本地
-
-### 5.3 工具调用日志页面 (`/mcp/log`)
-
-**功能**:
- 调用日志列表
- 按工具/日期筛选
- 成功率统计
- 响应时间统计
-
-**图表**:
- 每日调用次数趋势图
- 工具调用成功率饼图
- 平均响应时间柱状图
--- a/ruoyi-modules/ruoyi-chat/docs/数据库智能体实现总结.md
+++ b/ruoyi-modules/ruoyi-chat/docs/数据库智能体实现总结.md
@@ -1,152 +0,0 @@
-# 数据库操作智能体实现总结
-
-## 概述
-基于 LangChain4j 的 **Pure agentic AI** 模式，完成了一个智能数据库查询系统。该系统能够根据用户的自然语言问题，自动分析数据库结构、生成查询计划并执行相应的数据库操作。
-
-## 架构设计
-
-### 1. 整体框架
-```
-用户请求 → SupervisorAgent(协调器) → SqlAgent(数据库专家) → 数据库工具 → 数据库
-                                                            ↓
-                                                      结果处理与响应
-```
-
-### 2. 核心组件
-
-#### A. SqlAgent (数据库查询专家)
- **文件**: `org.ruoyi.agent.SqlAgent`
- **职责**: 根据用户的自然语言问题，调用相应的工具查询数据库
- **使用的工具**:
-  - `QueryAllTablesTool`: 查询所有表名和注释
-  - `QueryTableSchemaTool`: 查询表的DDL（CREATE TABLE语句）
-  - `ExecuteSqlQueryTool`: 执行SELECT查询
-
-```java
-public interface SqlAgent {
-    @SystemMessage("...")  // 详细的系统提示
-    @UserMessage("请回答以下问题：{{query}}")
-    @Agent("一个智能数据库查询助手...")
-    String getData(@V("query") String query);
-}
-```
-
-#### B. SupervisorAgent (总体协调器)
- 在 `OpenAIServiceImpl.doAgent()` 中创建
- 作用：协调 SqlAgent 的执行，管理任务流程
- 响应策略：`SUMMARY` - 返回所有操作的摘要
-
-```java
-SupervisorAgent supervisor = AgenticServices
-    .supervisorBuilder()
-    .chatModel(PLANNER_MODEL)
-    .subAgents(sqlAgent)
-    .responseStrategy(SupervisorResponseStrategy.SUMMARY)
-    .build();
-```
-
-#### C. 数据库工具 (Tools)
-
-##### 1. QueryAllTablesTool
-```java
-@Tool("Query all tables in the database and return table names and basic information")
-public String queryAllTables()
-```
- 返回数据库中所有表的名称和注释
- 使用注入的 `agentDataSource` DataSource
-
-##### 2. QueryTableSchemaTool
-```java
-@Tool("Query the CREATE TABLE statement (DDL) for a specific table by table name")
-public String queryTableSchema(String tableName)
-```
- 返回指定表的建表SQL语句
- 包含SQL注入防护（表名有效性验证）
-
-##### 3. ExecuteSqlQueryTool
-```java
-@Tool("Execute a SELECT SQL query and return the results. Example: SELECT * FROM sys_user")
-public String executeSql(String sql)
-```
- 执行SELECT查询（安全性考虑，不允许执行其他操作）
- 格式化查询结果，最多显示前20行
-
-### 3. 配置体系
-
-#### AgentMysqlProperties
-配置文件前缀：`agent.mysql`
-```yaml
-agent:
-  mysql:
-    enabled: true
-    url: jdbc:mysql://localhost:3306/your_database
-    username: your_username
-    password: your_password
-    max-pool-size: 10
-    min-idle: 2
-```
-
-#### AgentMysqlConfig
- 创建独立的 DataSource Bean (`agentDataSource`)
- 使用 HikariCP 连接池管理
- 与项目主数据源隔离
-
-#### TableSchemaManager
- 在应用启动时初始化表结构缓存
- 使用 `ConcurrentHashMap` 存储结构信息
- 支持按需刷新单个表的结构
-
-## 工作流程示例
-
-### 用户查询: "数据库有哪些表？"
-
-```
-1. SupervisorAgent 接收请求
-   ↓
-2. SupervisorAgent 分析请求，决定调用 SqlAgent
-   ↓
-3. SqlAgent 理解需求，调用 QueryAllTablesTool
-   ↓
-4. QueryAllTablesTool 连接数据库，获取所有表
-   ↓
-5. 结果返回给 SqlAgent
-   ↓
-6. SqlAgent 格式化结果
-   ↓
-7. SupervisorAgent 生成最终摘要
-   ↓
-8. 结果通过流式处理器返回给用户
-```
-
-### 用户查询: "查询 sys_user 表中有多少条记录"
-
-```
-1. SqlAgent 接收请求
-   ↓
-2. SqlAgent 分析需求，可能先调用 QueryTableSchemaTool 了解表结构
-   ↓
-3. 然后调用 ExecuteSqlQueryTool 执行 "SELECT COUNT(*) FROM sys_user"
-   ↓
-4. 获取查询结果并返回
-```
-
-## Agentic AI 特性
-
-### 自适应决策
- Agent 能根据上下文和之前的结果决定下一步操作
- 不是预定义的固定流程，而是动态适应
-
-### 例子
-当询问"查询部门表的字段信息时"：
- SqlAgent 可能先调用 `QueryTableSchemaTool` 获取建表SQL
- 如果发现需要具体的数据示例，会继续调用 `ExecuteSqlQueryTool`
- 整个决策过程由 LLM 驱动，非硬编码
-
-## 安全考虑
-
-1. **数据源隔离**: Agent 使用独立的数据源（agentDataSource），与主应用隔离
-2. **SQL验证**: 只允许执行 SELECT 查询
-3. **表名验证**: 表名必须通过正则表达式验证（防止SQL注入）
-4. **权限限制**: 可通过 AGENT_ALLOWED_TABLES 环境变量限制可访问的表
-5. **凭证管理**: 数据库凭证通过配置文件管理，不硬编码
-
--- a/ruoyi-modules/ruoyi-chat/pom.xml
+++ b/ruoyi-modules/ruoyi-chat/pom.xml
@@ -35,6 +35,12 @@
            <version>${langchain4j.version}</version>
        </dependency>

+        <dependency>
+            <groupId>dev.langchain4j</groupId>
+            <artifactId>langchain4j-anthropic</artifactId>
+            <version>${langchain4j.version}</version>
+        </dependency>
+
        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-ollama</artifactId>
@@ -44,7 +50,7 @@
        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-agentic</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
        </dependency>

        <dependency>
@@ -69,7 +75,7 @@
        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-document-parser-apache-tika</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
            <exclusions>
                <exclusion>
                    <groupId>org.apache.commons</groupId>
@@ -82,39 +88,39 @@
        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-milvus</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
        </dependency>

        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-weaviate</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
        </dependency>

        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-qdrant</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
        </dependency>

        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-mcp</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
        </dependency>

        <!-- LangChain4j Skills - 技能模块 -->
        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-skills</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
        </dependency>


        <dependency>
            <groupId>dev.langchain4j</groupId>
            <artifactId>langchain4j-experimental-skills-shell</artifactId>
-            <version>${langchain4j.community.version}</version>
+            <version>${langchain4j.beta.version}</version>
        </dependency>


@@ -155,10 +161,24 @@
            <version>${dify.version}</version>
        </dependency>

-        <!-- HikariCP 数据库连接池 -->
        <dependency>
-            <groupId>com.zaxxer</groupId>
-            <artifactId>HikariCP</artifactId>
+            <groupId>com.coze</groupId>
+            <artifactId>coze-api</artifactId>
+            <version>${coze.version}</version>
+            <exclusions>
+                <exclusion>
+                    <groupId>io.jsonwebtoken</groupId>
+                    <artifactId>jjwt-api</artifactId>
+                </exclusion>
+                <exclusion>
+                    <groupId>io.jsonwebtoken</groupId>
+                    <artifactId>jjwt-impl</artifactId>
+                </exclusion>
+                <exclusion>
+                    <groupId>io.jsonwebtoken</groupId>
+                    <artifactId>jjwt-jackson</artifactId>
+                </exclusion>
+            </exclusions>
        </dependency>

        <!-- MySQL JDBC 驱动 -->
@@ -174,6 +194,23 @@
            <scope>test</scope>
        </dependency>

+        <!-- Test dependencies -->
+        <dependency>
+            <groupId>org.junit.jupiter</groupId>
+            <artifactId>junit-jupiter</artifactId>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.mockito</groupId>
+            <artifactId>mockito-core</artifactId>
+            <scope>test</scope>
+        </dependency>
+        <dependency>
+            <groupId>org.mockito</groupId>
+            <artifactId>mockito-junit-jupiter</artifactId>
+            <scope>test</scope>
+        </dependency>
+
    </dependencies>

 </project>
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/agent/ShortDramaScriptAgent.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/agent/ShortDramaScriptAgent.java
@@ -0,0 +1,51 @@
+package org.ruoyi.agent;
+
+import dev.langchain4j.service.SystemMessage;
+import dev.langchain4j.service.UserMessage;
+import dev.langchain4j.service.V;
+import org.ruoyi.domain.bo.shortdrama.ShortDramaScriptResult;
+
+/**
+ * 短剧剧本打磨 Agent —— 使用 langchain4j AiServices 结构化输出
+ * <p>
+ * 框架自动生成 JSON Schema 并强制 LLM 返回符合结构的数据，无需手工 parse。
+ *
+ * @author ageerle
+ */
+public interface ShortDramaScriptAgent {
+
+    @SystemMessage("""
+        你是顶级短剧编剧和创意总监。请根据用户的一个创意想法，创作完整的短剧剧本。
+
+        【核心原则 - 最高优先级】
+        1. 剧本必须完整、有张力、有画面感
+        2. 角色要有鲜明性格，不是工具人
+        3. 情节紧凑，每句台词都推动剧情
+        4. 场景描写具体，让分镜师能直接画出画面
+        5. 对话自然有力，避免废话
+
+        【剧本格式】
+        使用标准剧本格式，包含以下元素：
+        1. 场景头(Scene Heading)：内景/外景+地点+时间，如"内景 客厅 清晨"
+        2. 场景描述(Scene Description)：简洁描述场景环境、布局、关键道具
+        3. 动作描述(Action)：描述角色的动作、表情、行为，连续段落形式
+        4. 对话(Dialogue)：角色名: 台词内容
+        5. 画外音(Voiceover)：旁白、独白、回忆中的声音
+
+        【剧本长度要求】
+        - scriptText：1000-3000字，含完整的开场、冲突发展、高潮、结尾
+        - outlineText：400-800字，概述完整故事线
+
+        【角色塑造要求】
+        - 每个角色要有明确的性格标签（如：霸道总裁、温柔女医、腹黑谋士）
+        - 角色之间要有清晰的关系和冲突
+        - 对话要符合角色性格
+
+        【情节要求】
+        - 必须有清晰的冲突和反转
+        - 情绪节奏要有起伏（紧张→舒缓→爆发）
+        - 结尾要有记忆点（反转/留白/情感升华）
+        """)
+    @UserMessage("用户期望项目名：{{projectName}}\n用户创意：{{idea}}")
+    ShortDramaScriptResult polish(@V("projectName") String projectName, @V("idea") String idea);
+}
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/config/agent/SkillsPathResolver.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/config/agent/SkillsPathResolver.java
@@ -0,0 +1,32 @@
+package org.ruoyi.config.agent;
+
+import java.nio.file.Path;
+
+/**
+ * 磁盘 Skills 目录路径解析器
+ * <p>
+ * langchain4j 的 ShellSkills 通过 FileSystemSkillLoader 从磁盘加载 SKILL.md，
+ * 路径硬编码在 ChatServiceFacade 中。抽到此工具类供智能体管理端与聊天流程共用，
+ * 避免两处路径漂移。
+ *
+ * @author ruoyi team
+ */
+public final class SkillsPathResolver {
+
+    private SkillsPathResolver() {
+    }
+
+    /**
+     * skills 目录相对项目根目录的路径
+     */
+    private static final String SKILLS_RELATIVE_PATH = "ruoyi-admin/src/main/resources/skills";
+
+    /**
+     * 返回磁盘 skills 目录的绝对路径
+     */
+    public static Path resolveSkillsPath() {
+        String userDir = System.getProperty("user.dir");
+        return Path.of(userDir, SKILLS_RELATIVE_PATH);
+    }
+
+}
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/constant/ShortDramaImageConstants.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/constant/ShortDramaImageConstants.java
@@ -0,0 +1,72 @@
+package org.ruoyi.constant;
+
+/**
+ * 短剧图片资产常量 — 三视图 prompt 工程
+ *
+ * @author ruoyi
+ */
+public final class ShortDramaImageConstants {
+
+    private ShortDramaImageConstants() {}
+
+    /**
+     * 角色三视图 prompt 前缀，生图时自动拼到用户 prompt 之前。
+     * 把风格和构图指令放最前面，避免被角色描述稀释导致画风漂移。
+     */
+    public static final String CHARACTER_PROMPT_PREFIX =
+        "character design sheet, multiple views reference sheet, " +
+        "front view / side view / back view full body, " +
+        "clean white background, no props, no text. ";
+
+    /**
+     * 角色三视图 prompt 后缀，生图时自动追加到用户 prompt 之后。
+     * 左侧1/3正面特写 + 右侧2/3三视图横向排列（正面全身、侧面全身、背面全身）。
+     */
+    public static final String CHARACTER_PROMPT_SUFFIX =
+        "。角色设定图，画面分为左右两个区域：" +
+        "【左侧区域】占约1/3宽度，是角色的正面特写" +
+        "（完整正脸，最具辨识度的正面形态）；" +
+        "【右侧区域】占约2/3宽度，是角色三视图横向排列" +
+        "（从左到右依次为：正面全身、侧面全身、背面全身），" +
+        "三视图高度一致。纯白色背景，无其他元素。";
+
+    /** 场景图 prompt 前缀 */
+    public static final String LOCATION_PROMPT_PREFIX = "宽广空间全景，";
+
+    /** 场景图 prompt 后缀 */
+    public static final String LOCATION_PROMPT_SUFFIX = "，禁止出现任何角色，纯背景板";
+
+    /** 每个资产最多保留的图片变体数量 */
+    public static final int MAX_IMAGE_VARIANTS = 20;
+
+    // ==================== 视觉风格 ====================
+
+    /** 项目视觉风格 → 生图 prompt 后缀映射，确保同项目所有图片风格一致 */
+    public static final java.util.Map<String, String> ART_STYLE_PROMPTS = java.util.Map.of(
+        "american-comic", "美式漫画风格，粗线条，高饱和度色彩，强烈光影对比",
+        "chinese-comic", "现代国漫动画风格，Chinese donghua 2D comic style，赛璐璐平涂上色，干净锐利的黑色线稿，平面化光影无真实景深，动漫人物比例（略放大双眼、修长身形），皮肤平滑无毛孔无写实肤质，国风服饰剪裁与材质细节清晰，色彩饱满通透，画面精致干净；禁止真人写实、摄影实拍、3D渲染、CGI、厚涂油画、写实皮肤纹理、景深虚化",
+        "japanese-anime", "现代日系动漫风格，赛璐璐上色，清晰干净的线条，视觉小说CG感，高质量2D风格",
+        "realistic", "真实电影级画面质感，真实现实场景，色彩饱满通透，画面干净精致，真实感"
+    );
+
+    /** 默认视觉风格 */
+    public static final String DEFAULT_ART_STYLE = "realistic";
+
+    /** 查找 artStyle 对应的 prompt 后缀，找不到返回空字符串 */
+    public static String artStylePrompt(String artStyle) {
+        if (artStyle == null) return "";
+        return ART_STYLE_PROMPTS.getOrDefault(artStyle, "");
+    }
+
+    /**
+     * 由项目 id 派生一个稳定的生图随机种子。
+     * 同项目内所有角色/形象共用同一颗种子，渲染基调（光影、配色、笔触）更趋一致；
+     * 不同项目派生不同种子，避免跨项目撞图。返回值落在 [0, 2_000_000_000)，兼容各供应商。
+     */
+    public static Integer styleSeed(Long projectId) {
+        if (projectId == null) return null;
+        long h = projectId;
+        h ^= (h >>> 32);
+        return (int) Math.floorMod(h * 2654435761L, 2_000_000_000L);
+    }
+}
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/agent/AgentController.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/agent/AgentController.java
@@ -0,0 +1,130 @@
+package org.ruoyi.controller.agent;
+
+import cn.dev33.satoken.annotation.SaCheckPermission;
+import jakarta.servlet.http.HttpServletResponse;
+import lombok.RequiredArgsConstructor;
+import org.ruoyi.common.core.domain.R;
+import org.ruoyi.common.excel.utils.ExcelUtil;
+import org.ruoyi.common.idempotent.annotation.RepeatSubmit;
+import org.ruoyi.common.log.annotation.Log;
+import org.ruoyi.common.log.enums.BusinessType;
+import org.ruoyi.common.mybatis.core.page.PageQuery;
+import org.ruoyi.common.mybatis.core.page.TableDataInfo;
+import org.ruoyi.common.web.core.BaseController;
+import org.ruoyi.domain.bo.agent.AgentBo;
+import org.ruoyi.domain.vo.agent.AgentVo;
+import org.ruoyi.domain.vo.agent.SkillOptionVo;
+import org.ruoyi.service.agent.IAgentService;
+import org.springframework.validation.annotation.Validated;
+import org.springframework.web.bind.annotation.DeleteMapping;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PathVariable;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.PutMapping;
+import org.springframework.web.bind.annotation.RequestBody;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RestController;
+
+import java.util.List;
+
+/**
+ * 智能体管理 Controller
+ *
+ * @author ruoyi team
+ */
+@Validated
+@RequiredArgsConstructor
+@RestController
+@RequestMapping("/agent/agent")
+public class AgentController extends BaseController {
+
+    private final IAgentService agentService;
+
+    /**
+     * 分页查询智能体列表
+     */
+    @SaCheckPermission("agent:agent:list")
+    @GetMapping("/list")
+    public TableDataInfo<AgentVo> list(AgentBo bo, PageQuery pageQuery) {
+        return agentService.queryPageList(bo, pageQuery);
+    }
+
+    /**
+     * 查询智能体列表（不分页，用于导出）
+     */
+    @SaCheckPermission("agent:agent:list")
+    @GetMapping("/queryList")
+    public R<List<AgentVo>> queryList(AgentBo bo) {
+        return R.ok(agentService.queryList(bo));
+    }
+
+    /**
+     * 导出智能体列表
+     */
+    @SaCheckPermission("agent:agent:export")
+    @Log(title = "智能体管理", businessType = BusinessType.EXPORT)
+    @PostMapping("/export")
+    public void export(AgentBo bo, HttpServletResponse response) {
+        List<AgentVo> list = agentService.queryList(bo);
+        ExcelUtil.exportExcel(list, "智能体", AgentVo.class, response);
+    }
+
+    /**
+     * 根据ID获取智能体详情
+     */
+    @SaCheckPermission("agent:agent:query")
+    @GetMapping("/{id}")
+    public R<AgentVo> getInfo(@PathVariable Long id) {
+        return R.ok(agentService.queryById(id));
+    }
+
+    /**
+     * 新增智能体
+     */
+    @SaCheckPermission("agent:agent:add")
+    @Log(title = "智能体管理", businessType = BusinessType.INSERT)
+    @RepeatSubmit
+    @PostMapping
+    public R<Void> add(@Validated @RequestBody AgentBo bo) {
+        return toAjax(agentService.insertByBo(bo));
+    }
+
+    /**
+     * 修改智能体
+     */
+    @SaCheckPermission("agent:agent:edit")
+    @Log(title = "智能体管理", businessType = BusinessType.UPDATE)
+    @RepeatSubmit
+    @PutMapping
+    public R<Void> edit(@Validated @RequestBody AgentBo bo) {
+        return toAjax(agentService.updateByBo(bo));
+    }
+
+    /**
+     * 删除智能体
+     */
+    @SaCheckPermission("agent:agent:remove")
+    @Log(title = "智能体管理", businessType = BusinessType.DELETE)
+    @DeleteMapping("/{ids}")
+    public R<Void> remove(@PathVariable Long[] ids) {
+        return toAjax(agentService.deleteByIds(List.of(ids)));
+    }
+
+    /**
+     * 用户端聊天页智能体下拉选项（启用状态，不需权限校验）
+     */
+    @GetMapping("/agentOptions")
+    public R<List<AgentVo>> agentOptions() {
+        return R.ok(agentService.queryEnabledOptions());
+    }
+
+    /**
+     * 列出磁盘上可用的 Skills（供管理端表单勾选）
+     */
+    @SaCheckPermission("agent:agent:list")
+    @GetMapping("/skillOptions")
+    public R<List<SkillOptionVo>> skillOptions() {
+        return R.ok(agentService.listSkillOptions());
+    }
+
+}
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/chat/ChatModelController.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/chat/ChatModelController.java
@@ -8,7 +8,10 @@ import jakarta.validation.constraints.*;
 import cn.dev33.satoken.annotation.SaCheckPermission;
 import org.ruoyi.common.chat.service.chat.IChatModelService;
 import org.ruoyi.common.chat.domain.bo.chat.ChatModelBo;
+import org.ruoyi.common.chat.domain.bo.chat.ModelBatchKeyBo;
 import org.ruoyi.common.chat.domain.vo.chat.ChatModelVo;
+import org.ruoyi.common.core.utils.StringUtils;
+import org.ruoyi.enums.ChatModeType;
 import org.ruoyi.enums.ModelType;
 import org.springframework.web.bind.annotation.*;
 import org.springframework.validation.annotation.Validated;
@@ -23,6 +26,8 @@ import org.ruoyi.common.log.enums.BusinessType;
 import org.ruoyi.common.excel.utils.ExcelUtil;
 import org.ruoyi.common.mybatis.core.page.TableDataInfo;

+import java.util.LinkedHashMap;
+
 /**
 * 模型管理
 *
@@ -51,10 +56,27 @@ public class ChatModelController extends BaseController {
     */
    @GetMapping("/modelList")
    public R<List<ChatModelVo>> modelList(ChatModelBo bo) {
-        bo.setCategory(ModelType.CHAT.getKey());
+        if (StringUtils.isBlank(bo.getCategory())) {
+            bo.setCategory(ModelType.CHAT.getKey());
+        }
        return R.ok(chatModelService.queryList(bo));
    }

+    /**
+     * 获取模型供应商枚举
+     */
+    @GetMapping("/providerOptions")
+    public R<List<LinkedHashMap<String, String>>> providerOptions() {
+        List<LinkedHashMap<String, String>> options = new java.util.ArrayList<>();
+        for (ChatModeType type : ChatModeType.values()) {
+            LinkedHashMap<String, String> item = new LinkedHashMap<>();
+            item.put("label", type.getDescription());
+            item.put("value", type.getCode());
+            options.add(item);
+        }
+        return R.ok(options);
+    }
+
    /**
     * 导出模型管理列表
     */
@@ -100,6 +122,17 @@ public class ChatModelController extends BaseController {
        return toAjax(chatModelService.updateByBo(bo));
    }

+    /**
+     * 按厂商批量更新密钥
+     */
+    @SaCheckPermission("system:model:edit")
+    @Log(title = "模型管理", businessType = BusinessType.UPDATE)
+    @RepeatSubmit()
+    @PutMapping("/batchKeyByProvider")
+    public R<Void> batchKeyByProvider(@Validated @RequestBody ModelBatchKeyBo bo) {
+        return toAjax(chatModelService.updateApiKeyByProvider(bo.getProviderCode(), bo.getApiKey()));
+    }
+
    /**
     * 删除模型管理
     *
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/chat/MediaGenerationController.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/chat/MediaGenerationController.java
@@ -0,0 +1,141 @@
+package org.ruoyi.controller.chat;
+
+import jakarta.validation.Valid;
+import jakarta.validation.constraints.NotBlank;
+import lombok.RequiredArgsConstructor;
+import org.ruoyi.common.chat.domain.vo.chat.ChatModelVo;
+import org.ruoyi.common.chat.entity.audio.AudioContext;
+import org.ruoyi.common.chat.entity.image.ImageContext;
+import org.ruoyi.common.chat.entity.media.MediaGenerationResponse;
+import org.ruoyi.common.chat.entity.video.VideoContext;
+import org.ruoyi.common.chat.factory.AudioServiceFactory;
+import org.ruoyi.common.chat.factory.ImageServiceFactory;
+import org.ruoyi.common.chat.factory.VideoServiceFactory;
+import org.ruoyi.common.chat.service.chat.IChatModelService;
+import org.ruoyi.common.core.domain.R;
+import org.ruoyi.domain.bo.media.ImageGenerationRequest;
+import org.ruoyi.domain.bo.media.SpeechGenerationRequest;
+import org.ruoyi.domain.bo.media.VideoGenerationRequest;
+import org.ruoyi.enums.ModelType;
+import org.ruoyi.service.media.AtlasPredictionService;
+import org.springframework.validation.annotation.Validated;
+import org.springframework.web.bind.annotation.GetMapping;
+import org.springframework.web.bind.annotation.PostMapping;
+import org.springframework.web.bind.annotation.RequestBody;
+import org.springframework.web.bind.annotation.RequestMapping;
+import org.springframework.web.bind.annotation.RequestParam;
+import org.springframework.web.bind.annotation.RestController;
+
+@Validated
+@RestController
+@RequiredArgsConstructor
+@RequestMapping("/media")
+public class MediaGenerationController {
+
+    private final IChatModelService chatModelService;
+    private final AudioServiceFactory audioServiceFactory;
+    private final ImageServiceFactory imageServiceFactory;
+    private final VideoServiceFactory videoServiceFactory;
+    private final AtlasPredictionService atlasPredictionService;
+
+    @PostMapping("/speech")
+    public R<MediaGenerationResponse> speech(@Valid @RequestBody SpeechGenerationRequest request) {
+        ChatModelVo model = loadModel(request.getModel(), ModelType.AUDIO.getKey());
+        MediaGenerationResponse response = audioServiceFactory.getOriginalService(model.getProviderCode())
+            .generateSpeech(AudioContext.builder()
+                .chatModelVo(model)
+                .input(request.getInput())
+                .voice(request.getVoice())
+                .responseFormat(request.getResponseFormat())
+                .speed(request.getSpeed())
+                .instructions(request.getInstructions())
+                .build());
+        return R.ok(response);
+    }
+
+    @PostMapping("/image")
+    public R<MediaGenerationResponse> image(@Valid @RequestBody ImageGenerationRequest request) {
+        ChatModelVo model = loadModel(request.getModel(), ModelType.IMAGE.getKey());
+        String result = imageServiceFactory.getOriginalService(model.getProviderCode())
+            .generateImage(ImageContext.builder()
+                .chatModelVo(model)
+                .prompt(request.getPrompt())
+                .size(request.getSize())
+                .seed(request.getSeed())
+                .build());
+        return R.ok(toImageResponse(result));
+    }
+
+    @PostMapping("/video")
+    public R<MediaGenerationResponse> video(@Valid @RequestBody VideoGenerationRequest request) {
+        ChatModelVo model = loadModel(request.getModel(), ModelType.VIDEO.getKey());
+        MediaGenerationResponse response = videoServiceFactory.getOriginalService(model.getProviderCode())
+            .generateVideo(VideoContext.builder()
+                .chatModelVo(model)
+                .prompt(request.getPrompt())
+                .size(request.getSize())
+                .seconds(request.getSeconds())
+                .quality(request.getQuality())
+                .build());
+        return R.ok(response);
+    }
+
+    @GetMapping("/video")
+    public R<MediaGenerationResponse> videoResult(@NotBlank(message = "模型不能为空") @RequestParam String model,
+                                                  @NotBlank(message = "videoId不能为空") @RequestParam String videoId) {
+        ChatModelVo chatModelVo = loadModel(model, ModelType.VIDEO.getKey());
+        MediaGenerationResponse response = videoServiceFactory.getOriginalService(chatModelVo.getProviderCode())
+            .retrieveVideo(VideoContext.builder()
+                .chatModelVo(chatModelVo)
+                .prompt("retrieve")
+                .videoId(videoId)
+                .build());
+        return R.ok(response);
+    }
+
+    @GetMapping("/prediction")
+    public R<MediaGenerationResponse> prediction(@NotBlank(message = "模型不能为空") @RequestParam String model,
+                                                 @NotBlank(message = "predictionId不能为空") @RequestParam String predictionId) {
+        ChatModelVo chatModelVo = chatModelService.selectModelByName(model);
+        if (chatModelVo == null) {
+            throw new IllegalArgumentException("未找到模型配置: " + model);
+        }
+        return R.ok(atlasPredictionService.retrieve(chatModelVo, predictionId));
+    }
+
+    private ChatModelVo loadModel(String modelName, String category) {
+        ChatModelVo model = chatModelService.selectModelByName(modelName);
+        if (model == null) {
+            throw new IllegalArgumentException("未找到模型配置: " + modelName);
+        }
+        if (!category.equals(model.getCategory())) {
+            throw new IllegalArgumentException("模型分类不匹配，期望: " + category + ", 实际: " + model.getCategory());
+        }
+        return model;
+    }
+
+    private MediaGenerationResponse toImageResponse(String result) {
+        if (result != null && result.startsWith("{")) {
+            try {
+                return atlasPredictionService.toResponse(result, "image");
+            } catch (Exception e) {
+                throw new RuntimeException("图片生成响应解析失败: " + e.getMessage(), e);
+            }
+        }
+        if (result != null && result.startsWith("data:")) {
+            String mimeType = result.substring("data:".length(), result.indexOf(";base64,"));
+            String b64 = result.substring(result.indexOf(";base64,") + ";base64,".length());
+            return MediaGenerationResponse.builder()
+                .type("image")
+                .mimeType(mimeType)
+                .b64Json(b64)
+                .dataUrl(result)
+                .build();
+        }
+        return MediaGenerationResponse.builder()
+            .type("image")
+            .mimeType("image/png")
+            .url(result)
+            .build();
+    }
+}
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeAttachController.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeAttachController.java
@@ -110,6 +110,17 @@ public class KnowledgeAttachController extends BaseController {
    @PostMapping(value = "/upload")
    public R<String> upload(KnowledgeInfoUploadBo bo){
        knowledgeAttachService.upload(bo);
-        return R.ok("上传知识库附件成功!");
+        return R.ok("上传成功!");
+    }
+
+    /**
+     * 手动解析附件内容
+     *
+     * @param id 附件ID
+     */
+    @PostMapping("/parse/{id}")
+    public R<Void> parse(@PathVariable Long id) {
+        knowledgeAttachService.parse(id);
+        return R.ok();
    }
 }
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeFragmentController.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeFragmentController.java
@@ -8,6 +8,7 @@ import jakarta.validation.constraints.*;
 import cn.dev33.satoken.annotation.SaCheckPermission;
 import org.ruoyi.domain.bo.knowledge.KnowledgeFragmentBo;
 import org.ruoyi.domain.vo.knowledge.KnowledgeFragmentVo;
+import org.ruoyi.domain.vo.knowledge.KnowledgeRetrievalVo;
 import org.ruoyi.service.knowledge.IKnowledgeFragmentService;
 import org.springframework.web.bind.annotation.*;
 import org.springframework.validation.annotation.Validated;
@@ -102,4 +103,12 @@ public class KnowledgeFragmentController extends BaseController {
                          @PathVariable Long[] ids) {
        return toAjax(knowledgeFragmentService.deleteWithValidByIds(List.of(ids), true));
    }
+
+    /**
+     * 检索测试
+     */
+    @PostMapping("/retrieval")
+    public R<List<KnowledgeRetrievalVo>> retrieval(@RequestBody KnowledgeFragmentBo bo) {
+        return R.ok(knowledgeFragmentService.retrieval(bo));
+    }
 }
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeGraphInstanceController.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeGraphInstanceController.java
@@ -1,105 +0,0 @@
-package org.ruoyi.controller.knowledge;
-
-import java.util.List;
-
-import lombok.RequiredArgsConstructor;
-import jakarta.servlet.http.HttpServletResponse;
-import jakarta.validation.constraints.*;
-import cn.dev33.satoken.annotation.SaCheckPermission;
-import org.ruoyi.domain.bo.knowledge.KnowledgeGraphInstanceBo;
-import org.ruoyi.domain.vo.knowledge.KnowledgeGraphInstanceVo;
-import org.ruoyi.service.knowledge.IKnowledgeGraphInstanceService;
-import org.springframework.web.bind.annotation.*;
-import org.springframework.validation.annotation.Validated;
-import org.ruoyi.common.idempotent.annotation.RepeatSubmit;
-import org.ruoyi.common.log.annotation.Log;
-import org.ruoyi.common.web.core.BaseController;
-import org.ruoyi.common.mybatis.core.page.PageQuery;
-import org.ruoyi.common.core.domain.R;
-import org.ruoyi.common.core.validate.AddGroup;
-import org.ruoyi.common.core.validate.EditGroup;
-import org.ruoyi.common.log.enums.BusinessType;
-import org.ruoyi.common.excel.utils.ExcelUtil;
-import org.ruoyi.common.mybatis.core.page.TableDataInfo;
-
-/**
- * 知识图谱实例
- *
- * @author ageerle
- * @date 2025-12-17
- */
-@Validated
-@RequiredArgsConstructor
-@RestController
-@RequestMapping("/system/graphInstance")
-public class KnowledgeGraphInstanceController extends BaseController {
-
-    private final IKnowledgeGraphInstanceService knowledgeGraphInstanceService;
-
-    /**
-     * 查询知识图谱实例列表
-     */
-    @SaCheckPermission("system:graphInstance:list")
-    @GetMapping("/list")
-    public TableDataInfo<KnowledgeGraphInstanceVo> list(KnowledgeGraphInstanceBo bo, PageQuery pageQuery) {
-        return knowledgeGraphInstanceService.queryPageList(bo, pageQuery);
-    }
-
-    /**
-     * 导出知识图谱实例列表
-     */
-    @SaCheckPermission("system:graphInstance:export")
-    @Log(title = "知识图谱实例", businessType = BusinessType.EXPORT)
-    @PostMapping("/export")
-    public void export(KnowledgeGraphInstanceBo bo, HttpServletResponse response) {
-        List<KnowledgeGraphInstanceVo> list = knowledgeGraphInstanceService.queryList(bo);
-        ExcelUtil.exportExcel(list, "知识图谱实例", KnowledgeGraphInstanceVo.class, response);
-    }
-
-    /**
-     * 获取知识图谱实例详细信息
-     *
-     * @param id 主键
-     */
-    @SaCheckPermission("system:graphInstance:query")
-    @GetMapping("/{id}")
-    public R<KnowledgeGraphInstanceVo> getInfo(@NotNull(message = "主键不能为空")
-                                     @PathVariable Long id) {
-        return R.ok(knowledgeGraphInstanceService.queryById(id));
-    }
-
-    /**
-     * 新增知识图谱实例
-     */
-    @SaCheckPermission("system:graphInstance:add")
-    @Log(title = "知识图谱实例", businessType = BusinessType.INSERT)
-    @RepeatSubmit()
-    @PostMapping()
-    public R<Void> add(@Validated(AddGroup.class) @RequestBody KnowledgeGraphInstanceBo bo) {
-        return toAjax(knowledgeGraphInstanceService.insertByBo(bo));
-    }
-
-    /**
-     * 修改知识图谱实例
-     */
-    @SaCheckPermission("system:graphInstance:edit")
-    @Log(title = "知识图谱实例", businessType = BusinessType.UPDATE)
-    @RepeatSubmit()
-    @PutMapping()
-    public R<Void> edit(@Validated(EditGroup.class) @RequestBody KnowledgeGraphInstanceBo bo) {
-        return toAjax(knowledgeGraphInstanceService.updateByBo(bo));
-    }
-
-    /**
-     * 删除知识图谱实例
-     *
-     * @param ids 主键串
-     */
-    @SaCheckPermission("system:graphInstance:remove")
-    @Log(title = "知识图谱实例", businessType = BusinessType.DELETE)
-    @DeleteMapping("/{ids}")
-    public R<Void> remove(@NotEmpty(message = "主键不能为空")
-                          @PathVariable Long[] ids) {
-        return toAjax(knowledgeGraphInstanceService.deleteWithValidByIds(List.of(ids), true));
-    }
-}
--- a/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeGraphSegmentController.java
+++ b/ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/controller/knowledge/KnowledgeGraphSegmentController.java
@@ -1,105 +0,0 @@
-package org.ruoyi.controller.knowledge;
-
-import java.util.List;
-
-import lombok.RequiredArgsConstructor;
-import jakarta.servlet.http.HttpServletResponse;
-import jakarta.validation.constraints.*;
-import cn.dev33.satoken.annotation.SaCheckPermission;
-import org.ruoyi.domain.bo.knowledge.KnowledgeGraphSegmentBo;
-import org.ruoyi.domain.vo.knowledge.KnowledgeGraphSegmentVo;
-import org.ruoyi.service.knowledge.IKnowledgeGraphSegmentService;
-import org.springframework.web.bind.annotation.*;
-import org.springframework.validation.annotation.Validated;
-import org.ruoyi.common.idempotent.annotation.RepeatSubmit;
-import org.ruoyi.common.log.annotation.Log;
-import org.ruoyi.common.web.core.BaseController;
-import org.ruoyi.common.mybatis.core.page.PageQuery;
-import org.ruoyi.common.core.domain.R;
-import org.ruoyi.common.core.validate.AddGroup;
-import org.ruoyi.common.core.validate.EditGroup;
-import org.ruoyi.common.log.enums.BusinessType;
-import org.ruoyi.common.excel.utils.ExcelUtil;
-import org.ruoyi.common.mybatis.core.page.TableDataInfo;
-
-/**
- * 知识图谱片段
- *
- * @author ageerle
- * @date 2025-12-17
- */
-@Validated
-@RequiredArgsConstructor
-@RestController
-@RequestMapping("/system/graphSegment")
-public class KnowledgeGraphSegmentController extends BaseController {
-
-    private final IKnowledgeGraphSegmentService knowledgeGraphSegmentService;
-
-    /**
-     * 查询知识图谱片段列表
-     */
-    @SaCheckPermission("system:graphSegment:list")
-    @GetMapping("/list")
-    public TableDataInfo<KnowledgeGraphSegmentVo> list(KnowledgeGraphSegmentBo bo, PageQuery pageQuery) {
-        return knowledgeGraphSegmentService.queryPageList(bo, pageQuery);
-    }
-
-    /**
-     * 导出知识图谱片段列表
-     */
-    @SaCheckPermission("system:graphSegment:export")
-    @Log(title = "知识图谱片段", businessType = BusinessType.EXPORT)
-    @PostMapping("/export")
-    public void export(KnowledgeGraphSegmentBo bo, HttpServletResponse response) {
-        List<KnowledgeGraphSegmentVo> list = knowledgeGraphSegmentService.queryList(bo);
-        ExcelUtil.exportExcel(list, "知识图谱片段", KnowledgeGraphSegmentVo.class, response);
-    }
-
-    /**
-     * 获取知识图谱片段详细信息
-     *
-     * @param id 主键
-     */
-    @SaCheckPermission("system:graphSegment:query")
-    @GetMapping("/{id}")
-    public R<KnowledgeGraphSegmentVo> getInfo(@NotNull(message = "主键不能为空")
-                                     @PathVariable Long id) {
-        return R.ok(knowledgeGraphSegmentService.queryById(id));
-    }
-
-    /**
-     * 新增知识图谱片段
-     */
-    @SaCheckPermission("system:graphSegment:add")
-    @Log(title = "知识图谱片段", businessType = BusinessType.INSERT)
-    @RepeatSubmit()
-    @PostMapping()
-    public R<Void> add(@Validated(AddGroup.class) @RequestBody KnowledgeGraphSegmentBo bo) {
-        return toAjax(knowledgeGraphSegmentService.insertByBo(bo));
-    }
-
-    /**
-     * 修改知识图谱片段
-     */
-    @SaCheckPermission("system:graphSegment:edit")
-    @Log(title = "知识图谱片段", businessType = BusinessType.UPDATE)
-    @RepeatSubmit()
-    @PutMapping()
-    public R<Void> edit(@Validated(EditGroup.class) @RequestBody KnowledgeGraphSegmentBo bo) {
-        return toAjax(knowledgeGraphSegmentService.updateByBo(bo));
-    }
-
-    /**
-     * 删除知识图谱片段
-     *
-     * @param ids 主键串
-     */
-    @SaCheckPermission("system:graphSegment:remove")
-    @Log(title = "知识图谱片段", businessType = BusinessType.DELETE)
-    @DeleteMapping("/{ids}")
-    public R<Void> remove(@NotEmpty(message = "主键不能为空")
-                          @PathVariable Long[] ids) {
-        return toAjax(knowledgeGraphSegmentService.deleteWithValidByIds(List.of(ids), true));
-    }
-}
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
ageerle@163.com	06d110ed16	@docs: 修正 snailjob 注释里失效的 ry_job.sql 引用实际建表脚本在 docs/script/sql/ruoyi-ai-v3_mysql8.sql（sj_ 前缀表），仓库中并无 ry_job.sql。关联 issue #311。 Co-Authored-By: Claude <noreply@anthropic.com>	2026-07-15 18:25:55 +08:00
ageerle@163.com	dfcadda2bb	@style: 修正 QdrantVectorStoreStrategy 缩进为空格 createSchema 调用与文件其余代码保持 4 空格缩进统一，避免 checkstyle/spotless 报错。 Co-Authored-By: Claude <noreply@anthropic.com>	2026-07-15 18:00:07 +08:00
Jack Jiang	3c9546ded9	fix: 修复 Qdrant 初始化创建集合问题 (#298 )	2026-07-15 17:58:12 +08:00
Octopus	a3d82e092e	Refresh MiniMax models and protocol support (#313 ) Co-authored-by: octo-patch <266937838+octo-patch@users.noreply.github.com>	2026-07-15 17:43:51 +08:00
ageerle@163.com	96a1b741df	fix: 兼容 Atlas 预测结果查询 404，避免前端轮询刷屏 Atlas /model/prediction/{id} 对已过期或不存在的任务返回 404 （常见于更换 API Key 后残留的旧任务）。原实现直接抛异常，前端轮询反复触发错误提示。改为 404 时返回 status=failed 的响应，让上层走正常失败分支落库，前端识别后终止轮询。 Co-Authored-By: Claude <noreply@anthropic.com>	2026-07-15 11:17:20 +08:00
ageerle@163.com	e7b7d1d084	更新README.md Co-Authored-By: Claude <noreply@anthropic.com>	2026-07-15 10:52:15 +08:00
ageerle@163.com	efc30c3ac8	docs: README 新增短剧服务 ruoyi-drama 源码链接 Co-Authored-By: Claude <noreply@anthropic.com>	2026-07-14 22:30:10 +08:00
ageerle@163.com	2ae13aafd4	feat: 新增短剧/媒体生成能力并脱敏数据库脚本 - 新增音频/视频/图片生成服务与 Atlas、OpenAI 实现 - 新增短剧脚本生成、分镜与 ffmpeg 合成模块 - 新增 Coze/Dify 聊天 provider 及 Agent 配置 - 脱敏 SQL 脚本：移除真实 DeepSeek API Key，掩码 COS 桶名 - 清理过期的 SQL update 脚本与 chat 文档 Co-Authored-By: Claude <noreply@anthropic.com>	2026-07-14 21:49:03 +08:00
ageerle@163.com	7aa67cfc2f	docs: 移除赞助商区块引用样式及多余换行 - 去掉 blockquote 引用块样式消除左侧竖线 - 去掉多余 <br> 避免链接文字断行 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-10 18:19:04 +08:00
ageerle@163.com	6d38e2bf25	docs: 赞助商图片改用本地路径并新增火山引擎 CodingPlan - Atlas Cloud 图片从远程链接改为 docs/image/sponsor/ 本地路径 - 新增火山引擎 CodingPlan 开发者计划赞助商（中英文 README 同步） Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-10 18:14:46 +08:00
ageerle@163.com	8ed5e61f63	docs: 添加微信技术交流群二维码 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-05 10:25:18 +08:00
ageerle@163.com	c3c89f8cc8	docs: 调整中文版赞助商图标大小 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-02 11:44:42 +08:00
ageerle@163.com	a3a6bdbc55	docs: 调整英文版赞助商图标大小与中文版一致 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-02 11:43:37 +08:00
ageerle@163.com	07d9fc1f45	docs: 同步英文版 README 与中文版保持一致 - 移除英文版 Quick Start/Live Demo 章节 - 移除 Ecosystem Partners 章节，合并到 Sponsors - 更新赞助商格式为图片横幅样式 - 社区交流改为微信/QQ 二维码（替换 Telegram） - 移除 Acknowledgments 中的 Spring AI Alibaba Copilot - 修复 Technical Architecture 多余空行 - 更新文档链接域名（pandarobot -> ruoyiai） Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-06-02 11:38:48 +08:00
ageerle@163.com	73a60e3591	docs: 更新 Atlas Cloud 赞助链接添加推荐参数 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-21 14:37:14 +08:00
ageerle@163.com	c79848c654	feat: 替换 PPIO 为 Atlas Cloud 并增强知识库功能 - 将 PPIO 服务提供商替换为 Atlas Cloud - 更新 README 赞助商信息 - 删除 PPIOEmbeddingProvider 和相关测试 - 知识库新增重排序、混合检索、相似度阈值等字段 - 更新 SQL 初始化脚本 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-21 11:18:59 +08:00
ageerle@163.com	ec092a11c3	docs: 添加 web coding 快速部署说明在 README 中新增使用 web coding 急速部署的章节，包含在线体验链接和部署截图展示 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-30 17:45:16 +08:00
ageerle	9a7b727413	Merge pull request #293 from RobustH/main 升级RAG模块	2026-04-23 09:15:02 +08:00
RobustH	b8d16b7669	feat(rag): 对接用户端用户知识库对话，集成知识库配置应用	2026-04-23 00:52:53 +08:00
RobustH	058a4aee2a	feat(rag): 新增测试配置应用的功能	2026-04-21 22:54:11 +08:00
RobustH	1b50c7f9f1	fix(rag): 修复合并重复，重排模型新增硅基流动供应商	2026-04-21 22:41:00 +08:00
RobustH	e7f53fd55f	Merge remote-tracking branch 'origin/main' # Conflicts: # ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/domain/bo/knowledge/KnowledgeInfoBo.java # ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/domain/entity/knowledge/KnowledgeInfo.java # ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/domain/vo/knowledge/KnowledgeInfoVo.java # ruoyi-modules/ruoyi-chat/src/main/java/org/ruoyi/service/chat/impl/ChatServiceFacade.java	2026-04-21 21:41:51 +08:00
ageerle	07bdc5e585	Merge pull request #292 from yangzhen233/feature/rerank-model Feature/rerank model	2026-04-20 21:06:27 +08:00
yangzhen	e1b8a5f011	新增千问3重排序模型，并附带新增sql文件	2026-04-20 16:07:02 +08:00
杨振	80ca76ea37	添加重排序功能	2026-04-20 01:02:09 +08:00
wangle	2c6ff66830	fix: 修正application.yml演示模式message缩进 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-19 13:42:39 +08:00
wangle	4f79a66559	feat: 添加小米MiMo、DeepSeek、自定义厂商等provider支持 - 新增小米MiMo服务实现类(MiMoServiceImpl) - ChatModeType添加XIAOMI枚举 - 更新SQL初始化脚本，新增多家厂商(provider)和模型数据 - 添加2026-04-19数据库更新脚本 - application.yml演示模式排除路径增加attach/fragment/info接口 - 删除独立的minimax_provider.sql(数据已合并到主SQL) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-19 13:42:05 +08:00
wangle	22883b4334	Merge branch pr-280: 添加MiniMax作为LLM提供商解决冲突: - README: 保留Qdrant向量库信息 + 合并MiniMax模型接入 - pom.xml: 保留spring-boot-starter-test + 添加MiniMax测试依赖 - ChatModeType: 保留CUSTOM_API + 新增MINIMAX枚举 - MinimaxServiceImpl: 保留MyChatModelListener监听器 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-19 11:47:04 +08:00
wangle	081da6d18d	feat: 添加MiniMax作为LLM提供商，合并PR#280并补充监听合并PR#280的MiniMax provider实现，解决与main分支的冲突，并在MinimaxServiceImpl中补充MyChatModelListener监听，与其他provider保持一致。 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-04-17 18:31:53 +08:00
ageerle	74eb5b2530	Merge pull request #290 from yangzhen233/feature/zhipu-embedding 添加智谱向量模型实现	2026-04-17 18:24:24 +08:00
ageerle	b0328fe0ef	Merge pull request #291 from xiaonieli7/main fate：增加自定义模型，调整前端模型选择下拉框	2026-04-17 18:16:59 +08:00
Administrator	2ee0aae57e	fate：增加自定义模型，调整前端模型选择下拉框	2026-04-17 08:31:40 +08:00
杨振	d9c3de660a	添加智谱向量模型实现	2026-04-16 21:18:11 +08:00
RobustH	ccbf5c9520	feat(rag): 知识库检索测试新增混合检索	2026-04-14 23:18:29 +08:00
ageerle	c4f7c1f5d0	Merge pull request #283 from MrWws/fix/docker-compose-all.yaml fix: 修复运行docker-compose-all.yaml报错的问题	2026-04-14 14:36:14 +08:00
RobustH	1208c46cca	feat(rag): 集成硅基流动、阿里百炼重排模型并全方位增强检索测试体验	2026-04-14 01:40:28 +08:00
RobustH	06a63c377e	feat: 新增检索测试相关接口 - 实现向量 L2 归一化，统一 Milvus/Qdrant/Weaviate 检索评分为 [0, 1] 空间	2026-04-13 23:33:56 +08:00
RobustH	0fa25032a3	feat(knowledge): 优化知识库文件状态枚举为"未解析，解析中，解析成功，解析失败"，支持异步线程池解析文档	2026-04-13 00:15:01 +08:00
RobustH	28ad29d6ed	feat(knowledge): 完善知识库及附件统计功能并修复分块数统计问题	2026-04-12 18:38:32 +08:00
MrWws	b9097b4989	fix: 修复运行docker-compose-all.yaml报错的问题	2026-03-31 22:59:26 +08:00
octopus	5d14eb20af	feat: add MiniMax as first-class LLM provider Add MiniMax AI as the 7th LLM provider, supporting chat (M2.7, M2.5, M2.5-highspeed) and embedding (embo-01) models via OpenAI-compatible API. Changes: - Add MINIMAX enum to ChatModeType - Add MinimaxServiceImpl chat provider (OpenAI-compat streaming) - Add MinimaxEmbeddingProvider for vector embeddings - Add SQL migration for provider and model registration - Add 14 unit tests + 3 integration tests - Update README/README_EN with MiniMax in provider list	2026-03-21 16:14:19 +08:00