feat: add response body schemas for various API endpoints

--bug=1060032 --user=王孝刚 【桂物智慧】 api 调用客户端修改对话摘要接口，报错403，没有访问权限 https://www.tapd.cn/57709429/s/1757188

.github/dependabot.yml

@@ -0,0 +1,17 @@
+version: 2
+updates:
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+      timezone: "Asia/Shanghai"
+      day: "friday"
+    target-branch: "v2"
+    groups:
+      python-dependencies:
+        patterns:
+          - "*"
+#    ignore:
+#      - dependency-name: "pymupdf"
+#        versions: ["*"]
+

.github/workflows/build-and-push-python-pg.yml

@@ -14,7 +14,7 @@ on:
           - linux/amd64,linux/arm64
 jobs:
   build-and-push-python-pg-to-ghcr:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
     steps:
       - name: Check Disk Space
         run: df -h
@@ -50,6 +50,9 @@ jobs:
             ${DOCKER_IMAGE_TAGS} .
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
+        with:
+          # Until https://github.com/tonistiigi/binfmt/issues/215
+          image: tonistiigi/binfmt:qemu-v7.0.0-28
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
       - name: Login to GitHub Container Registry

.github/workflows/build-and-push-vector-model.yml

@@ -19,7 +19,7 @@ on:
 
 jobs:
   build-and-push-vector-model-to-ghcr:
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-22.04
     steps:
       - name: Check Disk Space
         run: df -h
@@ -55,6 +55,9 @@ jobs:
             ${DOCKER_IMAGE_TAGS} .
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
+        with:
+          # Until https://github.com/tonistiigi/binfmt/issues/215
+          image: tonistiigi/binfmt:qemu-v7.0.0-28
       - name: Set up Docker Buildx
         uses: docker/setup-buildx-action@v3
       - name: Login to GitHub Container Registry

.github/workflows/build-and-push.yml

@@ -6,9 +6,14 @@ on:
   workflow_dispatch:
     inputs:
       dockerImageTag:
-        description: 'Docker Image Tag'
-        default: 'v1.9.0-dev'
+        description: 'Image Tag'
+        default: 'v1.10.7-dev'
         required: true
+      dockerImageTagWithLatest:
+        description: '是否发布latest tag（正式发版时选择，测试版本切勿选择）'
+        default: false
+        required: true
+        type: boolean
       architecture:
         description: 'Architecture'
         required: true
@@ -57,13 +62,14 @@ jobs:
           DOCKER_IMAGE=${{ secrets.FIT2CLOUD_REGISTRY_HOST }}/maxkb/maxkb
           DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
           TAG_NAME=${{ github.event.inputs.dockerImageTag }}
-          if [[ ${TAG_NAME} == *dev* ]]; then
-            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
+          TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
+          if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then            
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*}"
           else
-            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:latest"
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
           fi
-          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} \
-            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=${GITHUB_SHA::8} --no-cache \
+          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
+            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
             ${DOCKER_IMAGE_TAGS} .
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
@@ -83,6 +89,7 @@ jobs:
           password: ${{ secrets.FIT2CLOUD_REGISTRY_PASSWORD }}
       - name: Docker Buildx (build-and-push)
         run: |
+          sudo sync && echo 3 | sudo tee /proc/sys/vm/drop_caches && free -m
           docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }} -f installer/Dockerfile
 
   build-and-push-to-dockerhub:
@@ -112,14 +119,15 @@ jobs:
         run: |
           DOCKER_IMAGE=1panel/maxkb
           DOCKER_PLATFORMS=${{ github.event.inputs.architecture }}
-          TAG_NAME=${{ github.event.inputs.dockerImageTag }}
-          if [[ ${TAG_NAME} == *dev* ]]; then
-            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
+          TAG_NAME=${{ github.event.inputs.dockerImageTag }}          
+          TAG_NAME_WITH_LATEST=${{ github.event.inputs.dockerImageTagWithLatest }}
+          if [[ ${TAG_NAME_WITH_LATEST} == 'true' ]]; then            
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:${TAG_NAME%%.*}"
           else
-            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME} --tag ${DOCKER_IMAGE}:latest"
+            DOCKER_IMAGE_TAGS="--tag ${DOCKER_IMAGE}:${TAG_NAME}"
           fi
-          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} \
-            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=${GITHUB_SHA::8} --no-cache \
+          echo ::set-output name=buildx_args::--platform ${DOCKER_PLATFORMS} --memory-swap -1 \
+            --build-arg DOCKER_IMAGE_TAG=${{ github.event.inputs.dockerImageTag }} --build-arg BUILD_AT=$(TZ=Asia/Shanghai date +'%Y-%m-%dT%H:%M') --build-arg GITHUB_COMMIT=`git rev-parse --short HEAD` --no-cache \
             ${DOCKER_IMAGE_TAGS} .
       - name: Set up QEMU
         uses: docker/setup-qemu-action@v3
@@ -138,4 +146,5 @@ jobs:
           password: ${{ secrets.DOCKERHUB_TOKEN }}
       - name: Docker Buildx (build-and-push)
         run: |
+          sudo sync && echo 3 | sudo tee /proc/sys/vm/drop_caches && free -m
           docker buildx build --output "type=image,push=true" ${{ steps.prepare.outputs.buildx_args }} -f installer/Dockerfile

.gitignore

@@ -178,8 +178,10 @@ ui/node_modules
 ui/dist
 apps/static
 models/
+apps/xpack
 !apps/**/models/
 data
 .dev
 poetry.lock
-apps/setting/models_provider/impl/*/icon/
+apps/setting/models_provider/impl/*/icon/
+tmp/

.typos.toml

@@ -1,4 +1,4 @@
 [files]
 extend-exclude = [
     'apps/setting/models_provider/impl/*/icon/*'
-]
+]

README.md

@@ -1,95 +1,126 @@
 <p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
-<h3 align="center">基于大模型和 RAG 的知识库问答系统</h3>
-<h4 align="center">Ready-to-use, flexible RAG Chatbot</h4>
+<h3 align="center">Open-source platform for building enterprise-grade agents</h3>
+<h3 align="center">强大易用的企业级智能体平台</h3>
+<p align="center"><a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a></p>
 <p align="center">
-    <a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: auto;" /></a>
-    <a href="https://market.aliyun.com/products/53690006/cmjj00067609.html?userCode=kmemb8jp" target="_blank"><img src="https://img.alicdn.com/imgextra/i2/O1CN01H5JIwY1rZ0OobDjnJ_!!6000000005644-2-tps-1000-216.png" alt="1Panel-dev%2FMaxKB | Aliyun" style="width: 250px; height: auto;" /></a>
-</p>
-<p align="center">
-  <a href="README_EN.md"><img src="https://img.shields.io/badge/English_README-blue" alt="English README"></a>
-  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb" alt="License: GPL v3"></a>
+  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
   <a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
-  <a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?style=flat-square" alt="Stars"></a>    
-  <a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>  
+  <a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?color=%231890FF&style=flat-square" alt="Stars"></a>    
+  <a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a><br/>
+ [<a href="/README_CN.md">中文(简体)</a>] | [<a href="/README.md">English</a>] 
 </p>
 <hr/>
 
-MaxKB = Max Knowledge Base，是一款基于大语言模型和 RAG 的开源知识库问答系统，广泛应用于智能客服、企业内部知识库、学术研究与教育等场景。
+MaxKB = Max Knowledge Brain, it is an open-source platform for building enterprise-grade agents. MaxKB integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities. MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
 
-- **开箱即用**：支持直接上传文档 / 自动爬取在线文档，支持文本自动拆分、向量化和 RAG（检索增强生成），有效减少大模型幻觉，智能问答交互体验好；
-- **模型中立**：支持对接各种大模型，包括本地私有大模型（Llama 3 / Qwen 2 等）、国内公共大模型（通义千问 / 腾讯混元 / 字节豆包 / 百度千帆 / 智谱 AI / Kimi 等）和国外公共大模型（OpenAI / Claude / Gemini 等）；
-- **灵活编排**：内置强大的工作流引擎和函数库，支持编排 AI 工作过程，满足复杂业务场景下的需求；
-- **无缝嵌入**：支持零编码快速嵌入到第三方业务系统，让已有系统快速拥有智能问答能力，提高用户满意度。
+- **RAG Pipeline**: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization. This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
+- **Agentic Workflow**: Equipped with a powerful workflow engine, function library and MCP tool-use, enabling the orchestration of AI processes to meet the needs of complex business scenarios. 
+- **Seamless Integration**: Facilitates zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A capabilities to enhance user satisfaction.
+- **Model-Agnostic**: Supports various large models, including private models (such as DeepSeek, Llama, Qwen, etc.) and public models (like OpenAI, Claude, Gemini, etc.).
+- **Multi Modal**: Native support for input and output text, image, audio and video.
 
-MaxKB 三分钟视频介绍：https://www.bilibili.com/video/BV18JypYeEkj/
+## Quick start
 
-## 快速开始
+Execute the script below to start a MaxKB container using Docker:
 
-```
-# Linux 机器
-docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages cr2.fit2cloud.com/1panel/maxkb
-
-# Windows 机器
-docker run -d --name=maxkb --restart=always -p 8080:8080 -v C:/maxkb:/var/lib/postgresql/data -v C:/python-packages:/opt/maxkb/app/sandbox/python-packages cr2.fit2cloud.com/1panel/maxkb
-
-# 用户名: admin
-# 密码: MaxKB@123..
+```bash
+docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages 1panel/maxkb
 ```
 
-- 你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 MaxKB；
-- 如果是内网环境，推荐使用 [离线安装包](https://community.fit2cloud.com/#/products/maxkb/downloads) 进行安装部署；
-- MaxKB 产品版本分为社区版和专业版，详情请参见：[MaxKB 产品版本对比](https://maxkb.cn/pricing.html)；
-- 如果您需要向团队介绍 MaxKB，可以使用这个 [官方 PPT 材料](https://maxkb.cn/download/introduce-maxkb_202501.pdf)。
+Access MaxKB web interface at `http://your_server_ip:8080` with default admin credentials:
 
-如你有更多问题，可以查看使用手册，或者通过论坛与我们交流。
+- username: admin
+- password: MaxKB@123..
 
-- [使用手册](https://maxkb.cn/docs/)
-- [论坛求助](https://bbs.fit2cloud.com/c/mk/11)
-- 技术交流群
+中国用户如遇到 Docker 镜像 Pull 失败问题，请参照该 [离线安装文档](https://maxkb.cn/docs/installation/offline_installtion/) 进行安装。
 
-<image height="150px" width="150px" src="https://github.com/1Panel-dev/MaxKB/assets/52996290/a083d214-02be-4178-a1db-4f428124153a"/>
-
-## 案例展示
-
-MaxKB 自发布以来，日均安装下载超过 1000 次，被广泛应用于智能客服、企业内部知识库、学术教育研究等场景。
-
-- [华莱士智能客服](https://ai.cnhls.com/ui/chat/1fc0f6a9b5a6fb27)
-- [JumpServer 小助手](https://maxkb.fit2cloud.com/ui/chat/b4e27a6e72d349a3)
-- [信用深圳](https://www.szcredit.org.cn/#/index)
-- [重庆交通大学教务在线](http://jwc.anyquestion.cn/ui/chat/b75496390f7d935d)
-
-## UI 展示
+## Screenshots
 
 <table style="border-collapse: collapse; border: 1px solid black;">
   <tr>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/d87395fa-a8d7-401c-82bf-c6e475d10ae9" alt="MaxKB Demo1"   /></td>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/47c35ee4-3a3b-4bd4-9f4f-ee20788b2b9a" alt="MaxKB Demo2"   /></td>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/overview.png" alt="MaxKB Demo1"   /></td>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/screenshot-models.png" alt="MaxKB Demo2"   /></td>
   </tr>
   <tr>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/9a1043cb-fa62-4f71-b9a3-0b46fa59a70e" alt="MaxKB Demo3"   /></td>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/3407ce9a-779c-4eb4-858e-9441a2ddc664" alt="MaxKB Demo4"   /></td>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/screenshot-knowledge.png" alt="MaxKB Demo3"   /></td>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://maxkb.hk/images/screenshot-function.png" alt="MaxKB Demo4"   /></td>
   </tr>
 </table>
 
-## 技术栈
+## Technical stack
 
-- 前端：[Vue.js](https://cn.vuejs.org/)
-- 后端：[Python / Django](https://www.djangoproject.com/)
-- LangChain：[LangChain](https://www.langchain.com/)
-- 向量数据库：[PostgreSQL / pgvector](https://www.postgresql.org/)
+- Frontend：[Vue.js](https://vuejs.org/)
+- Backend：[Python / Django](https://www.djangoproject.com/)
+- LLM Framework：[LangChain](https://www.langchain.com/)
+- Database：[PostgreSQL + pgvector](https://www.postgresql.org/)
 
-## 飞致云的其他明星项目
+## Feature Comparison
 
-- [1Panel](https://github.com/1panel-dev/1panel/) - 现代化、开源的 Linux 服务器运维管理面板
-- [JumpServer](https://github.com/jumpserver/jumpserver/) - 广受欢迎的开源堡垒机
-- [DataEase](https://github.com/dataease/dataease/) - 人人可用的开源数据可视化分析工具
-- [MeterSphere](https://github.com/metersphere/metersphere/) - 新一代的开源持续测试工具
-- [Halo](https://github.com/halo-dev/halo/) - 强大易用的开源建站工具
+<table style="width: 100%;">
+  <tr>
+    <th align="center">Feature</th>
+    <th align="center">LangChain</th>
+    <th align="center">Dify.AI</th>
+    <th align="center">Flowise</th>
+    <th align="center">MaxKB <br>（Built upon LangChain）</th>
+  </tr>
+  <tr>
+    <td align="center">Supported LLMs</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+    <td align="center">Rich Variety</td>
+  </tr>
+  <tr>
+    <td align="center">RAG Engine</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Agent</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Workflow</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">Observability</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+  </tr>
+  <tr>
+    <td align="center">SSO/Access control</td>
+    <td align="center">❌</td>
+    <td align="center">✅</td>
+    <td align="center">❌</td>
+    <td align="center">✅ (Pro)</td>
+  </tr>
+  <tr>
+    <td align="center">On-premise Deployment</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+    <td align="center">✅</td>
+  </tr>
+</table>
+
+## Star History
+
+[![Star History Chart](https://api.star-history.com/svg?repos=1Panel-dev/MaxKB&type=Date)](https://star-history.com/#1Panel-dev/MaxKB&Date)
 
 ## License
 
-Copyright (c) 2014-2025 飞致云 FIT2CLOUD, All rights reserved.
-
 Licensed under The GNU General Public License version 3 (GPLv3)  (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
 
 <https://www.gnu.org/licenses/gpl-3.0.html>

README_CN.md

@@ -0,0 +1,89 @@
+<p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
+<h3 align="center">强大易用的企业级智能体平台</h3>
+<p align="center">
+    <a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: auto;" /></a>
+</p>
+<p align="center">
+  <a href="README_EN.md"><img src="https://img.shields.io/badge/English_README-blue" alt="English README"></a>
+  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
+  <a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
+  <a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?style=flat-square" alt="Stars"></a>
+  <a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>
+  <a href="https://gitee.com/fit2cloud-feizhiyun/MaxKB"><img src="https://gitee.com/fit2cloud-feizhiyun/MaxKB/badge/star.svg?theme=gvp" alt="Gitee Stars"></a>
+  <a href="https://gitcode.com/feizhiyun/MaxKB"><img src="https://gitcode.com/feizhiyun/MaxKB/star/badge.svg" alt="GitCode Stars"></a>
+</p>
+<hr/>
+
+MaxKB = Max Knowledge Brain，是一款强大易用的企业级智能体平台，支持 RAG 检索增强生成、工作流编排、MCP 工具调用能力。MaxKB 支持对接各种主流大语言模型，广泛应用于智能客服、企业内部知识库问答、员工助手、学术研究与教育等场景。
+
+- **RAG 检索增强生成**：高效搭建本地 AI 知识库，支持直接上传文档 / 自动爬取在线文档，支持文本自动拆分、向量化，有效减少大模型幻觉，提升问答效果；
+- **灵活编排**：内置强大的工作流引擎、函数库和 MCP 工具调用能力，支持编排 AI 工作过程，满足复杂业务场景下的需求；
+- **无缝嵌入**：支持零编码快速嵌入到第三方业务系统，让已有系统快速拥有智能问答能力，提高用户满意度；
+- **模型中立**：支持对接各种大模型，包括本地私有大模型（DeepSeek R1 / Llama 3 / Qwen 2 等）、国内公共大模型（通义千问 / 腾讯混元 / 字节豆包 / 百度千帆 / 智谱 AI / Kimi 等）和国外公共大模型（OpenAI / Claude / Gemini 等）。
+
+MaxKB 三分钟视频介绍：https://www.bilibili.com/video/BV18JypYeEkj/
+
+## 快速开始
+
+```
+# Linux 机器
+docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages registry.fit2cloud.com/maxkb/maxkb
+
+# Windows 机器
+docker run -d --name=maxkb --restart=always -p 8080:8080 -v C:/maxkb:/var/lib/postgresql/data -v C:/python-packages:/opt/maxkb/app/sandbox/python-packages registry.fit2cloud.com/maxkb/maxkb
+
+# 用户名: admin
+# 密码: MaxKB@123..
+```
+
+- 你也可以通过 [1Panel 应用商店](https://apps.fit2cloud.com/1panel) 快速部署 MaxKB；
+- 如果是内网环境，推荐使用 [离线安装包](https://community.fit2cloud.com/#/products/maxkb/downloads) 进行安装部署；
+- MaxKB 产品版本分为社区版和专业版，详情请参见：[MaxKB 产品版本对比](https://maxkb.cn/pricing.html)；
+- 如果您需要向团队介绍 MaxKB，可以使用这个 [官方 PPT 材料](https://maxkb.cn/download/introduce-maxkb_202503.pdf)。
+
+如你有更多问题，可以查看使用手册，或者通过论坛与我们交流。
+
+- [案例展示](USE-CASES.md)
+- [使用手册](https://maxkb.cn/docs/)
+- [论坛求助](https://bbs.fit2cloud.com/c/mk/11)
+- 技术交流群
+
+<image height="150px" width="150px" src="https://github.com/1Panel-dev/MaxKB/assets/52996290/a083d214-02be-4178-a1db-4f428124153a"/>
+
+## UI 展示
+
+<table style="border-collapse: collapse; border: 1px solid black;">
+  <tr>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/d87395fa-a8d7-401c-82bf-c6e475d10ae9" alt="MaxKB Demo1"   /></td>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/47c35ee4-3a3b-4bd4-9f4f-ee20788b2b9a" alt="MaxKB Demo2"   /></td>
+  </tr>
+  <tr>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/9a1043cb-fa62-4f71-b9a3-0b46fa59a70e" alt="MaxKB Demo3"   /></td>
+    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/user-attachments/assets/3407ce9a-779c-4eb4-858e-9441a2ddc664" alt="MaxKB Demo4"   /></td>
+  </tr>
+</table>
+
+## 技术栈
+
+- 前端：[Vue.js](https://cn.vuejs.org/)
+- 后端：[Python / Django](https://www.djangoproject.com/)
+- LangChain：[LangChain](https://www.langchain.com/)
+- 向量数据库：[PostgreSQL / pgvector](https://www.postgresql.org/)
+
+## 飞致云的其他明星项目
+
+- [1Panel](https://github.com/1panel-dev/1panel/) - 现代化、开源的 Linux 服务器运维管理面板
+- [JumpServer](https://github.com/jumpserver/jumpserver/) - 广受欢迎的开源堡垒机
+- [DataEase](https://github.com/dataease/dataease/) - 人人可用的开源数据可视化分析工具
+- [MeterSphere](https://github.com/metersphere/metersphere/) - 新一代的开源持续测试工具
+- [Halo](https://github.com/halo-dev/halo/) - 强大易用的开源建站工具
+
+## License
+
+Copyright (c) 2014-2025 飞致云 FIT2CLOUD, All rights reserved.
+
+Licensed under The GNU General Public License version 3 (GPLv3)  (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
+
+<https://www.gnu.org/licenses/gpl-3.0.html>
+
+Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

README_EN.md

@@ -1,54 +0,0 @@
-<p align="center"><img src= "https://github.com/1Panel-dev/maxkb/assets/52996290/c0694996-0eed-40d8-b369-322bf2a380bf" alt="MaxKB" width="300" /></p>
-<h3 align="center">Top-Rated Retrieval-Augmented Generation (RAG) Chatbot.</h3>
-<p align="center"><a href="https://trendshift.io/repositories/9113" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9113" alt="1Panel-dev%2FMaxKB | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a></p>
-<p align="center">
-  <a href="https://www.gnu.org/licenses/gpl-3.0.html#license-text"><img src="https://img.shields.io/github/license/1Panel-dev/maxkb?color=%231890FF" alt="License: GPL v3"></a>
-  <a href="https://github.com/1Panel-dev/maxkb/releases/latest"><img src="https://img.shields.io/github/v/release/1Panel-dev/maxkb" alt="Latest release"></a>
-  <a href="https://github.com/1Panel-dev/maxkb"><img src="https://img.shields.io/github/stars/1Panel-dev/maxkb?color=%231890FF&style=flat-square" alt="Stars"></a>    
-  <a href="https://hub.docker.com/r/1panel/maxkb"><img src="https://img.shields.io/docker/pulls/1panel/maxkb?label=downloads" alt="Download"></a>  
-</p>
-<hr/>
-
-MaxKB = Max Knowledge Base, it is a chatbot based on Large Language Models (LLM) and Retrieval-Augmented Generation (RAG). MaxKB is widely applied in scenarios such as intelligent customer service, corporate internal knowledge bases, academic research, and education.
-
-- **Ready-to-Use**: Supports direct uploading of documents / automatic crawling of online documents, with features for automatic text splitting, vectorization, and RAG (Retrieval-Augmented Generation). This effectively reduces hallucinations in large models, providing a superior smart Q&A interaction experience.
-- **Model-Agnostic**: Supports various large models, including private models (such as Llama 3, Qwen 2, etc.) and public models (like OpenAI, Claude, Gemini, etc.).
-- **Flexible Orchestration**: Equipped with a powerful workflow engine and function library, enabling the orchestration of AI processes to meet the needs of complex business scenarios. 
-- **Seamless Integration**: Facilitates zero-coding rapid integration into third-party business systems, quickly equipping existing systems with intelligent Q&A capabilities to enhance user satisfaction.
-
-## Quick start
-
-```
-docker run -d --name=maxkb --restart=always -p 8080:8080 -v ~/.maxkb:/var/lib/postgresql/data -v ~/.python-packages:/opt/maxkb/app/sandbox/python-packages cr2.fit2cloud.com/1panel/maxkb
-
-# username: admin
-# pass: MaxKB@123..
-```
-
-## Screenshots
-
-<table style="border-collapse: collapse; border: 1px solid black;">
-  <tr>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/d87395fa-a8d7-401c-82bf-c6e475d10ae9" alt="MaxKB Demo1"   /></td>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/47c35ee4-3a3b-4bd4-9f4f-ee20788b2b9a" alt="MaxKB Demo2"   /></td>
-  </tr>
-  <tr>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/1c0c5e32-6194-47f9-bc32-487996349d9c" alt="MaxKB Demo3"   /></td>
-    <td style="padding: 5px;background-color:#fff;"><img src= "https://github.com/1Panel-dev/MaxKB/assets/52996290/f32f5fe9-a769-488c-ae0e-783bc2b89b3e" alt="MaxKB Demo4"   /></td>
-  </tr>
-</table>
-
-## Technical stack
-
-- Frontend：[Vue.js](https://vuejs.org/)
-- Backend：[Python / Django](https://www.djangoproject.com/)
-- LangChain：[LangChain](https://www.langchain.com/)
-- Vector DB：[PostgreSQL / pgvector](https://www.postgresql.org/)
-
-## License
-
-Licensed under The GNU General Public License version 3 (GPLv3)  (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
-
-<https://www.gnu.org/licenses/gpl-3.0.html>
-
-Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

USE-CASES.md

@@ -0,0 +1,39 @@
+<h3 align="center">MaxKB 应用案例，持续更新中...</h3>
+
+------------------------------
+
+- [MaxKB 应用案例：中国农业大学-小鹉哥](https://mp.weixin.qq.com/s/4g_gySMBQZCJ9OZ-yBkmvw)
+- [MaxKB 应用案例：东北财经大学-小银杏](https://mp.weixin.qq.com/s/3BoxkY7EMomMmmvFYxvDIA)
+- [MaxKB 应用案例：中铁水务](https://mp.weixin.qq.com/s/voNAddbK2CJOrJJs1ewZ8g)
+- [MaxKB 应用案例：解放军总医院](https://mp.weixin.qq.com/s/ETrZC-vrA4Aap0eF-15EeQ)
+- [MaxKB 应用案例：无锡市数据局](https://mp.weixin.qq.com/s/enfUFLevvL_La74PQ0kIXw)
+- [MaxKB 应用案例：中核西仪研究院-西仪睿答](https://mp.weixin.qq.com/s/CbKr4mev8qahKLAtV6Dxdg)
+- [MaxKB 应用案例：南京中医药大学](https://mp.weixin.qq.com/s/WUmAKYbZjp3272HIecpRFA)
+- [MaxKB 应用案例：西北电力设计院-AI数字助理Memex](https://mp.weixin.qq.com/s/ezHFdB7C7AVL9MTtDwYGSA)
+- [MaxKB 应用案例：西安国际医院中心医院-国医小助](https://mp.weixin.qq.com/s/DSOUvwrQrxbqQxKBilTCFQ)
+- [MaxKB 应用案例：华莱士智能AI客服助手上线啦！](https://www.bilibili.com/video/BV1hQtVeXEBL)
+- [MaxKB 应用案例：把医疗行业知识转化为知识库问答助手！](https://www.bilibili.com/video/BV157wme9EgB)
+- [MaxKB 应用案例：会展AI智能客服体验](https://www.bilibili.com/video/BV1J7BqY6EKA)
+- [MaxKB 应用案例：孩子要上幼儿园了，AI 智能助手择校好帮手](https://www.bilibili.com/video/BV1wKrhYvEer)
+- [MaxKB 应用案例：产品使用指南AI助手，新手小白也能轻松搞定！](https://www.bilibili.com/video/BV1Yz6gYtEqX)
+- [MaxKB 应用案例：生物医药AI客服智能体验!](https://www.bilibili.com/video/BV13JzvYsE3e)
+- [MaxKB 应用案例：高校行政管理AI小助手](https://www.bilibili.com/video/BV1yvBMYvEdy)
+- [MaxKB 应用案例：岳阳市人民医院-OA小助手](https://mp.weixin.qq.com/s/O94Qo3UH-MiUtDdWCVg8sQ)
+- [MaxKB 应用案例：常熟市第一人民医院](https://mp.weixin.qq.com/s/s5XXGTR3_MUo41NbJ8WzZQ)
+- [MaxKB 应用案例：华北水利水电大学](https://mp.weixin.qq.com/s/PoOFAcMCr9qJdvSj8c08qg)
+- [MaxKB 应用案例：唐山海事局-“小海”AI语音助手](https://news.qq.com/rain/a/20250223A030BE00)
+- [MaxKB 应用案例：湖南汉寿政务](http://hsds.hsdj.gov.cn:19999/ui/chat/a2c976736739aadc)
+- [MaxKB 应用案例：广州市妇女儿童医疗中心-AI医疗数据分类分级小助手](https://mp.weixin.qq.com/s/YHUMkUOAaUomBV8bswpK3g)
+- [MaxKB 应用案例：苏州热工研究院有限公司-维修大纲评估质量自查AI小助手](https://mp.weixin.qq.com/s/Ts5FQdnv7Tu9Jp7bvofCVA)
+- [MaxKB 应用案例：国核自仪系统工程有限公司-NuCON AI帮](https://mp.weixin.qq.com/s/HNPc7u5xVfGLJr8IQz3vjQ)
+- [MaxKB 应用案例：深圳通开启Deep Seek智能应用新篇章](https://mp.weixin.qq.com/s/SILN0GSescH9LyeQqYP0VQ)
+- [MaxKB 应用案例：南通智慧出行领跑长三角！首款接入DeepSeek的"畅行南通"APP上线AI新场景](https://mp.weixin.qq.com/s/WEC9UQ6msY0VS8LhTZh-Ew)
+- [MaxKB 应用案例：中船动力人工智能"智慧动力云助手"及首批数字员工正式上线](https://mp.weixin.qq.com/s/OGcEkjh9DzGO1Tkc9nr7qg)
+- [MaxKB 应用案例：AI+矿山：DeepSeek助力绿色智慧矿山智慧“升级”](https://mp.weixin.qq.com/s/SZstxTvVoLZg0ECbZbfpIA)
+- [MaxKB 应用案例：DeepSeek落地弘盛铜业：国产大模型点亮"黑灯工厂"新引擎](https://mp.weixin.qq.com/s/Eczdx574MS5RMF7WfHN7_A)
+- [MaxKB 应用案例：拥抱智能时代！中国五矿以 “AI+”赋能企业发展](https://mp.weixin.qq.com/s/D5vBtlX2E81pWE3_2OgWSw)
+- [MaxKB 应用案例：DeepSeek赋能中冶武勘AI智能体](https://mp.weixin.qq.com/s/8m0vxGcWXNdZazziQrLyxg)
+- [MaxKB 应用案例：重磅！陕西广电网络“秦岭云”平台实现DeepSeek本地化部署](https://mp.weixin.qq.com/s/ZKmEU_wWShK1YDomKJHQeA)
+- [MaxKB 应用案例：粤海集团完成DeepSeek私有化部署，助力集团智能化管理](https://mp.weixin.qq.com/s/2JbVp0-kr9Hfp-0whH4cvg)
+- [MaxKB 应用案例：建筑材料工业信息中心完成DeepSeek本地化部署，推动行业数智化转型新发展](https://mp.weixin.qq.com/s/HThGSnND3qDF8ySEqiM4jw)
+- [MaxKB 应用案例：一起DeepSeek！福建设计以AI大模型开启新篇章](https://mp.weixin.qq.com/s/m67e-H7iQBg3d24NM82UjA)

apps/application/chat_pipeline/step/chat_step/i_chat_step.py

@@ -9,6 +9,7 @@
 from abc import abstractmethod
 from typing import Type, List
 
+from django.utils.translation import gettext_lazy as _
 from langchain.chat_models.base import BaseChatModel
 from langchain.schema import BaseMessage
 from rest_framework import serializers
@@ -23,7 +24,7 @@ from common.util.field_message import ErrMessage
 class ModelField(serializers.Field):
     def to_internal_value(self, data):
         if not isinstance(data, BaseChatModel):
-            self.fail('模型类型错误', value=data)
+            self.fail(_('Model type error'), value=data)
         return data
 
     def to_representation(self, value):
@@ -33,7 +34,7 @@ class ModelField(serializers.Field):
 class MessageField(serializers.Field):
     def to_internal_value(self, data):
         if not isinstance(data, BaseMessage):
-            self.fail('message类型错误', value=data)
+            self.fail(_('Message type error'), value=data)
         return data
 
     def to_representation(self, value):
@@ -52,37 +53,42 @@ class IChatStep(IBaseChatPipelineStep):
     class InstanceSerializer(serializers.Serializer):
         # 对话列表
         message_list = serializers.ListField(required=True, child=MessageField(required=True),
-                                             error_messages=ErrMessage.list("对话列表"))
-        model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid("模型id"))
+                                             error_messages=ErrMessage.list(_("Conversation list")))
+        model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid(_("Model id")))
         # 段落列表
-        paragraph_list = serializers.ListField(error_messages=ErrMessage.list("段落列表"))
+        paragraph_list = serializers.ListField(error_messages=ErrMessage.list(_("Paragraph List")))
         # 对话id
-        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
+        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
         # 用户问题
-        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.uuid("用户问题"))
+        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.uuid(_("User Questions")))
         # 后置处理器
         post_response_handler = InstanceField(model_type=PostResponseHandler,
-                                              error_messages=ErrMessage.base("用户问题"))
+                                              error_messages=ErrMessage.base(_("Post-processor")))
         # 补全问题
-        padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.base("补全问题"))
+        padding_problem_text = serializers.CharField(required=False,
+                                                     error_messages=ErrMessage.base(_("Completion Question")))
         # 是否使用流的形式输出
-        stream = serializers.BooleanField(required=False, error_messages=ErrMessage.base("流式输出"))
-        client_id = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端id"))
-        client_type = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端类型"))
+        stream = serializers.BooleanField(required=False, error_messages=ErrMessage.base(_("Streaming Output")))
+        client_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client id")))
+        client_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client Type")))
         # 未查询到引用分段
-        no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base("无引用分段设置"))
+        no_references_setting = NoReferencesSetting(required=True,
+                                                    error_messages=ErrMessage.base(_("No reference segment settings")))
 
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
+
+        model_setting = serializers.DictField(required=True, allow_null=True,
+                                              error_messages=ErrMessage.dict(_("Model settings")))
 
         model_params_setting = serializers.DictField(required=False, allow_null=True,
-                                                     error_messages=ErrMessage.dict("模型参数设置"))
+                                                     error_messages=ErrMessage.dict(_("Model parameter settings")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
             message_list: List = self.initial_data.get('message_list')
             for message in message_list:
                 if not isinstance(message, BaseMessage):
-                    raise Exception("message 类型错误")
+                    raise Exception(_("message type error"))
 
     def get_step_serializer(self, manage: PipelineManage) -> Type[serializers.Serializer]:
         return self.InstanceSerializer
@@ -100,5 +106,5 @@ class IChatStep(IBaseChatPipelineStep):
                 paragraph_list=None,
                 manage: PipelineManage = None,
                 padding_problem_text: str = None, stream: bool = True, client_id=None, client_type=None,
-                no_references_setting=None, model_params_setting=None, **kwargs):
+                no_references_setting=None, model_params_setting=None, model_setting=None, **kwargs):
         pass

apps/application/chat_pipeline/step/chat_step/impl/base_chat_step.py

@@ -14,6 +14,7 @@ from typing import List
 
 from django.db.models import QuerySet
 from django.http import StreamingHttpResponse
+from django.utils.translation import gettext as _
 from langchain.chat_models.base import BaseChatModel
 from langchain.schema import BaseMessage
 from langchain.schema.messages import HumanMessage, AIMessage
@@ -23,6 +24,7 @@ from rest_framework import status
 from application.chat_pipeline.I_base_chat_pipeline import ParagraphPipelineModel
 from application.chat_pipeline.pipeline_manage import PipelineManage
 from application.chat_pipeline.step.chat_step.i_chat_step import IChatStep, PostResponseHandler
+from application.flow.tools import Reasoning
 from application.models.api_key_model import ApplicationPublicAccessClient
 from common.constants.authentication_type import AuthenticationType
 from setting.models_provider.tools import get_model_instance_by_model_user_id
@@ -62,17 +64,54 @@ def event_content(response,
                   problem_text: str,
                   padding_problem_text: str = None,
                   client_id=None, client_type=None,
-                  is_ai_chat: bool = None):
+                  is_ai_chat: bool = None,
+                  model_setting=None):
+    if model_setting is None:
+        model_setting = {}
+    reasoning_content_enable = model_setting.get('reasoning_content_enable', False)
+    reasoning_content_start = model_setting.get('reasoning_content_start', '<think>')
+    reasoning_content_end = model_setting.get('reasoning_content_end', '</think>')
+    reasoning = Reasoning(reasoning_content_start,
+                          reasoning_content_end)
     all_text = ''
+    reasoning_content = ''
     try:
+        response_reasoning_content = False
         for chunk in response:
-            all_text += chunk.content
+            reasoning_chunk = reasoning.get_reasoning_content(chunk)
+            content_chunk = reasoning_chunk.get('content')
+            if 'reasoning_content' in chunk.additional_kwargs:
+                response_reasoning_content = True
+                reasoning_content_chunk = chunk.additional_kwargs.get('reasoning_content', '')
+            else:
+                reasoning_content_chunk = reasoning_chunk.get('reasoning_content')
+            all_text += content_chunk
+            if reasoning_content_chunk is None:
+                reasoning_content_chunk = ''
+            reasoning_content += reasoning_content_chunk
             yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
-                                                                         [], chunk.content,
+                                                                         [], content_chunk,
                                                                          False,
                                                                          0, 0, {'node_is_end': False,
                                                                                 'view_type': 'many_view',
-                                                                                'node_type': 'ai-chat-node'})
+                                                                                'node_type': 'ai-chat-node',
+                                                                                'real_node_id': 'ai-chat-node',
+                                                                                'reasoning_content': reasoning_content_chunk if reasoning_content_enable else ''})
+        reasoning_chunk = reasoning.get_end_reasoning_content()
+        all_text += reasoning_chunk.get('content')
+        reasoning_content_chunk = ""
+        if not response_reasoning_content:
+            reasoning_content_chunk = reasoning_chunk.get(
+                'reasoning_content')
+        yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
+                                                                     [], reasoning_chunk.get('content'),
+                                                                     False,
+                                                                     0, 0, {'node_is_end': False,
+                                                                            'view_type': 'many_view',
+                                                                            'node_type': 'ai-chat-node',
+                                                                            'real_node_id': 'ai-chat-node',
+                                                                            'reasoning_content'
+                                                                            : reasoning_content_chunk if reasoning_content_enable else ''})
         # 获取token
         if is_ai_chat:
             try:
@@ -85,8 +124,11 @@ def event_content(response,
             request_token = 0
             response_token = 0
         write_context(step, manage, request_token, response_token, all_text)
+        asker = manage.context.get('form_data', {}).get('asker', None)
         post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
-                                      all_text, manage, step, padding_problem_text, client_id)
+                                      all_text, manage, step, padding_problem_text, client_id,
+                                      reasoning_content=reasoning_content if reasoning_content_enable else ''
+                                      , asker=asker)
         yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
                                                                      [], '', True,
                                                                      request_token, response_token,
@@ -95,16 +137,21 @@ def event_content(response,
         add_access_num(client_id, client_type, manage.context.get('application_id'))
     except Exception as e:
         logging.getLogger("max_kb_error").error(f'{str(e)}:{traceback.format_exc()}')
-        all_text = '异常' + str(e)
+        all_text = 'Exception:' + str(e)
         write_context(step, manage, 0, 0, all_text)
+        asker = manage.context.get('form_data', {}).get('asker', None)
         post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
-                                      all_text, manage, step, padding_problem_text, client_id)
+                                      all_text, manage, step, padding_problem_text, client_id, reasoning_content='',
+                                      asker=asker)
         add_access_num(client_id, client_type, manage.context.get('application_id'))
-        yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), all_text,
-                                                                     'ai-chat-node',
-                                                                     [], True, 0, 0,
-                                                                     {'node_is_end': True, 'view_type': 'many_view',
-                                                                      'node_type': 'ai-chat-node'})
+        yield manage.get_base_to_response().to_stream_chunk_response(chat_id, str(chat_record_id), 'ai-chat-node',
+                                                                     [], all_text,
+                                                                     False,
+                                                                     0, 0, {'node_is_end': False,
+                                                                            'view_type': 'many_view',
+                                                                            'node_type': 'ai-chat-node',
+                                                                            'real_node_id': 'ai-chat-node',
+                                                                            'reasoning_content': ''})
 
 
 class BaseChatStep(IChatStep):
@@ -121,17 +168,20 @@ class BaseChatStep(IChatStep):
                 client_id=None, client_type=None,
                 no_references_setting=None,
                 model_params_setting=None,
+                model_setting=None,
                 **kwargs):
         chat_model = get_model_instance_by_model_user_id(model_id, user_id,
                                                          **model_params_setting) if model_id is not None else None
         if stream:
             return self.execute_stream(message_list, chat_id, problem_text, post_response_handler, chat_model,
                                        paragraph_list,
-                                       manage, padding_problem_text, client_id, client_type, no_references_setting)
+                                       manage, padding_problem_text, client_id, client_type, no_references_setting,
+                                       model_setting)
         else:
             return self.execute_block(message_list, chat_id, problem_text, post_response_handler, chat_model,
                                       paragraph_list,
-                                      manage, padding_problem_text, client_id, client_type, no_references_setting)
+                                      manage, padding_problem_text, client_id, client_type, no_references_setting,
+                                      model_setting)
 
     def get_details(self, manage, **kwargs):
         return {
@@ -172,7 +222,8 @@ class BaseChatStep(IChatStep):
             return iter(
                 [AIMessageChunk(content=no_references_setting.get('value').replace('{question}', problem_text))]), False
         if chat_model is None:
-            return iter([AIMessageChunk('抱歉，没有配置 AI 模型，请先去应用中设置 AI 模型。')]), False
+            return iter([AIMessageChunk(
+                _('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.'))]), False
         else:
             return chat_model.stream(message_list), True
 
@@ -185,14 +236,15 @@ class BaseChatStep(IChatStep):
                        manage: PipelineManage = None,
                        padding_problem_text: str = None,
                        client_id=None, client_type=None,
-                       no_references_setting=None):
+                       no_references_setting=None,
+                       model_setting=None):
         chat_result, is_ai_chat = self.get_stream_result(message_list, chat_model, paragraph_list,
                                                          no_references_setting, problem_text)
         chat_record_id = uuid.uuid1()
         r = StreamingHttpResponse(
             streaming_content=event_content(chat_result, chat_id, chat_record_id, paragraph_list,
                                             post_response_handler, manage, self, chat_model, message_list, problem_text,
-                                            padding_problem_text, client_id, client_type, is_ai_chat),
+                                            padding_problem_text, client_id, client_type, is_ai_chat, model_setting),
             content_type='text/event-stream;charset=utf-8')
 
         r['Cache-Control'] = 'no-cache'
@@ -206,17 +258,17 @@ class BaseChatStep(IChatStep):
                          problem_text=None):
         if paragraph_list is None:
             paragraph_list = []
-
-        directly_return_chunk_list = [AIMessage(content=paragraph.content)
-                                      for paragraph in paragraph_list if
-                                      paragraph.hit_handling_method == 'directly_return']
+        directly_return_chunk_list = [AIMessageChunk(content=paragraph.content)
+                                      for paragraph in paragraph_list if (
+                                              paragraph.hit_handling_method == 'directly_return' and paragraph.similarity >= paragraph.directly_return_similarity)]
         if directly_return_chunk_list is not None and len(directly_return_chunk_list) > 0:
             return directly_return_chunk_list[0], False
         elif len(paragraph_list) == 0 and no_references_setting.get(
                 'status') == 'designated_answer':
             return AIMessage(no_references_setting.get('value').replace('{question}', problem_text)), False
         if chat_model is None:
-            return AIMessage('抱歉，没有配置 AI 模型，请先去应用中设置 AI 模型。'), False
+            return AIMessage(
+                _('Sorry, the AI model is not configured. Please go to the application to set up the AI model first.')), False
         else:
             return chat_model.invoke(message_list), True
 
@@ -228,7 +280,13 @@ class BaseChatStep(IChatStep):
                       paragraph_list=None,
                       manage: PipelineManage = None,
                       padding_problem_text: str = None,
-                      client_id=None, client_type=None, no_references_setting=None):
+                      client_id=None, client_type=None, no_references_setting=None,
+                      model_setting=None):
+        reasoning_content_enable = model_setting.get('reasoning_content_enable', False)
+        reasoning_content_start = model_setting.get('reasoning_content_start', '<think>')
+        reasoning_content_end = model_setting.get('reasoning_content_end', '</think>')
+        reasoning = Reasoning(reasoning_content_start,
+                              reasoning_content_end)
         chat_record_id = uuid.uuid1()
         # 调用模型
         try:
@@ -241,17 +299,36 @@ class BaseChatStep(IChatStep):
                 request_token = 0
                 response_token = 0
             write_context(self, manage, request_token, response_token, chat_result.content)
+            reasoning_result = reasoning.get_reasoning_content(chat_result)
+            reasoning_result_end = reasoning.get_end_reasoning_content()
+            content = reasoning_result.get('content') + reasoning_result_end.get('content')
+            if 'reasoning_content' in chat_result.response_metadata:
+                reasoning_content = chat_result.response_metadata.get('reasoning_content', '')
+            else:
+                reasoning_content = reasoning_result.get('reasoning_content') + reasoning_result_end.get(
+                    'reasoning_content')
+            asker = manage.context.get('form_data', {}).get('asker', None)
             post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
-                                          chat_result.content, manage, self, padding_problem_text, client_id)
+                                          content, manage, self, padding_problem_text, client_id,
+                                          reasoning_content=reasoning_content if reasoning_content_enable else '',
+                                          asker=asker)
             add_access_num(client_id, client_type, manage.context.get('application_id'))
             return manage.get_base_to_response().to_block_response(str(chat_id), str(chat_record_id),
-                                                                   chat_result.content, True,
-                                                                   request_token, response_token)
+                                                                   content, True,
+                                                                   request_token, response_token,
+                                                                   {
+                                                                       'reasoning_content': reasoning_content if reasoning_content_enable else '',
+                                                                       'answer_list': [{
+                                                                           'content': content,
+                                                                           'reasoning_content': reasoning_content if reasoning_content_enable else ''
+                                                                       }]})
         except Exception as e:
-            all_text = '异常' + str(e)
+            all_text = 'Exception:' + str(e)
             write_context(self, manage, 0, 0, all_text)
+            asker = manage.context.get('form_data', {}).get('asker', None)
             post_response_handler.handler(chat_id, chat_record_id, paragraph_list, problem_text,
-                                          all_text, manage, self, padding_problem_text, client_id)
+                                          all_text, manage, self, padding_problem_text, client_id, reasoning_content='',
+                                          asker=asker)
             add_access_num(client_id, client_type, manage.context.get('application_id'))
             return manage.get_base_to_response().to_block_response(str(chat_id), str(chat_record_id), all_text, True, 0,
                                                                    0, _status=status.HTTP_500_INTERNAL_SERVER_ERROR)

apps/application/chat_pipeline/step/generate_human_message_step/i_generate_human_message_step.py

@@ -9,6 +9,7 @@
 from abc import abstractmethod
 from typing import Type, List
 
+from django.utils.translation import gettext_lazy as _
 from langchain.schema import BaseMessage
 from rest_framework import serializers
 
@@ -23,26 +24,26 @@ from common.util.field_message import ErrMessage
 class IGenerateHumanMessageStep(IBaseChatPipelineStep):
     class InstanceSerializer(serializers.Serializer):
         # 问题
-        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char("问题"))
+        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char(_("question")))
         # 段落列表
         paragraph_list = serializers.ListField(child=InstanceField(model_type=ParagraphPipelineModel, required=True),
-                                               error_messages=ErrMessage.list("段落列表"))
+                                               error_messages=ErrMessage.list(_("Paragraph List")))
         # 历史对答
         history_chat_record = serializers.ListField(child=InstanceField(model_type=ChatRecord, required=True),
-                                                    error_messages=ErrMessage.list("历史对答"))
+                                                    error_messages=ErrMessage.list(_("History Questions")))
         # 多轮对话数量
-        dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
+        dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
         # 最大携带知识库段落长度
         max_paragraph_char_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(
-            "最大携带知识库段落长度"))
+            _("Maximum length of the knowledge base paragraph")))
         # 模板
-        prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
+        prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
         system = serializers.CharField(required=False, allow_null=True, allow_blank=True,
-                                       error_messages=ErrMessage.char("系统提示词(角色)"))
+                                       error_messages=ErrMessage.char(_("System prompt words (role)")))
         # 补齐问题
-        padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.char("补齐问题"))
+        padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Completion problem")))
         # 未查询到引用分段
-        no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base("无引用分段设置"))
+        no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base(_("No reference segment settings")))
 
     def get_step_serializer(self, manage: PipelineManage) -> Type[serializers.Serializer]:
         return self.InstanceSerializer

apps/application/chat_pipeline/step/reset_problem_step/i_reset_problem_step.py

@@ -9,12 +9,11 @@
 from abc import abstractmethod
 from typing import Type, List
 
-from langchain.chat_models.base import BaseChatModel
+from django.utils.translation import gettext_lazy as _
 from rest_framework import serializers
 
 from application.chat_pipeline.I_base_chat_pipeline import IBaseChatPipelineStep
 from application.chat_pipeline.pipeline_manage import PipelineManage
-from application.chat_pipeline.step.chat_step.i_chat_step import ModelField
 from application.models import ChatRecord
 from common.field.common import InstanceField
 from common.util.field_message import ErrMessage
@@ -23,15 +22,16 @@ from common.util.field_message import ErrMessage
 class IResetProblemStep(IBaseChatPipelineStep):
     class InstanceSerializer(serializers.Serializer):
         # 问题文本
-        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.float("问题文本"))
+        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.float(_("question")))
         # 历史对答
         history_chat_record = serializers.ListField(child=InstanceField(model_type=ChatRecord, required=True),
-                                                    error_messages=ErrMessage.list("历史对答"))
+                                                    error_messages=ErrMessage.list(_("History Questions")))
         # 大语言模型
-        model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid("模型id"))
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        model_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid(_("Model id")))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
         problem_optimization_prompt = serializers.CharField(required=False, max_length=102400,
-                                                            error_messages=ErrMessage.char("问题补全提示词"))
+                                                            error_messages=ErrMessage.char(
+                                                                _("Question completion prompt")))
 
     def get_step_serializer(self, manage: PipelineManage) -> Type[serializers.Serializer]:
         return self.InstanceSerializer

apps/application/chat_pipeline/step/reset_problem_step/impl/base_reset_problem_step.py

@@ -8,6 +8,7 @@
 """
 from typing import List
 
+from django.utils.translation import gettext as _
 from langchain.schema import HumanMessage
 
 from application.chat_pipeline.step.reset_problem_step.i_reset_problem_step import IResetProblemStep
@@ -15,8 +16,8 @@ from application.models import ChatRecord
 from common.util.split_model import flat_map
 from setting.models_provider.tools import get_model_instance_by_model_user_id
 
-prompt = (
-    '()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中')
+prompt = _(
+    "() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")
 
 
 class BaseResetProblemStep(IResetProblemStep):

apps/application/chat_pipeline/step/search_dataset_step/i_search_dataset_step.py

@@ -11,6 +11,7 @@ from abc import abstractmethod
 from typing import List, Type
 
 from django.core import validators
+from django.utils.translation import gettext_lazy as _
 from rest_framework import serializers
 
 from application.chat_pipeline.I_base_chat_pipeline import IBaseChatPipelineStep, ParagraphPipelineModel
@@ -21,29 +22,30 @@ from common.util.field_message import ErrMessage
 class ISearchDatasetStep(IBaseChatPipelineStep):
     class InstanceSerializer(serializers.Serializer):
         # 原始问题文本
-        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char("问题"))
+        problem_text = serializers.CharField(required=True, error_messages=ErrMessage.char(_("question")))
         # 系统补全问题文本
-        padding_problem_text = serializers.CharField(required=False, error_messages=ErrMessage.char("系统补全问题文本"))
+        padding_problem_text = serializers.CharField(required=False,
+                                                     error_messages=ErrMessage.char(_("System completes question text")))
         # 需要查询的数据集id列表
         dataset_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
-                                                error_messages=ErrMessage.list("数据集id列表"))
+                                                error_messages=ErrMessage.list(_("Dataset id list")))
         # 需要排除的文档id
         exclude_document_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
-                                                         error_messages=ErrMessage.list("排除的文档id列表"))
+                                                         error_messages=ErrMessage.list(_("List of document ids to exclude")))
         # 需要排除向量id
         exclude_paragraph_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
-                                                          error_messages=ErrMessage.list("排除向量id列表"))
+                                                          error_messages=ErrMessage.list(_("List of exclusion vector ids")))
         # 需要查询的条数
         top_n = serializers.IntegerField(required=True,
-                                         error_messages=ErrMessage.integer("引用分段数"))
+                                         error_messages=ErrMessage.integer(_("Reference segment number")))
         # 相似度 0-1之间
         similarity = serializers.FloatField(required=True, max_value=1, min_value=0,
-                                            error_messages=ErrMessage.float("引用分段数"))
+                                            error_messages=ErrMessage.float(_("Similarity")))
         search_mode = serializers.CharField(required=True, validators=[
             validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
-                                      message="类型只支持register|reset_password", code=500)
-        ], error_messages=ErrMessage.char("检索模式"))
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+                                      message=_("The type only supports embedding|keywords|blend"), code=500)
+        ], error_messages=ErrMessage.char(_("Retrieval Mode")))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
     def get_step_serializer(self, manage: PipelineManage) -> Type[InstanceSerializer]:
         return self.InstanceSerializer

apps/application/chat_pipeline/step/search_dataset_step/impl/base_search_dataset_step.py

@@ -10,6 +10,8 @@ import os
 from typing import List, Dict
 
 from django.db.models import QuerySet
+from django.utils.translation import gettext_lazy as _
+from rest_framework.utils.formatting import lazy_format
 
 from application.chat_pipeline.I_base_chat_pipeline import ParagraphPipelineModel
 from application.chat_pipeline.step.search_dataset_step.i_search_dataset_step import ISearchDatasetStep
@@ -26,18 +28,19 @@ from smartdoc.conf import PROJECT_DIR
 def get_model_by_id(_id, user_id):
     model = QuerySet(Model).filter(id=_id).first()
     if model is None:
-        raise Exception("模型不存在")
+        raise Exception(_("Model does not exist"))
     if model.permission_type == 'PRIVATE' and str(model.user_id) != str(user_id):
-        raise Exception(f"无权限使用此模型:{model.name}")
+        message = lazy_format(_('No permission to use this model {model_name}'), model_name=model.name)
+        raise Exception(message)
     return model
 
 
 def get_embedding_id(dataset_id_list):
     dataset_list = QuerySet(DataSet).filter(id__in=dataset_id_list)
     if len(set([dataset.embedding_mode_id for dataset in dataset_list])) > 1:
-        raise Exception("关联知识库的向量模型不一致，无法召回分段。")
+        raise Exception(_("The vector model of the associated knowledge base is inconsistent and the segmentation cannot be recalled."))
     if len(dataset_list) == 0:
-        raise Exception("知识库设置错误,请重新设置知识库")
+        raise Exception(_("The knowledge base setting is wrong, please reset the knowledge base"))
     return dataset_list[0].embedding_mode_id
 
 

apps/application/flow/common.py

@@ -9,16 +9,22 @@
 
 
 class Answer:
-    def __init__(self, content, view_type, runtime_node_id, chat_record_id, child_node):
+    def __init__(self, content, view_type, runtime_node_id, chat_record_id, child_node, real_node_id,
+                 reasoning_content):
         self.view_type = view_type
         self.content = content
+        self.reasoning_content = reasoning_content
         self.runtime_node_id = runtime_node_id
         self.chat_record_id = chat_record_id
         self.child_node = child_node
+        self.real_node_id = real_node_id
 
     def to_dict(self):
         return {'view_type': self.view_type, 'content': self.content, 'runtime_node_id': self.runtime_node_id,
-                'chat_record_id': self.chat_record_id, 'child_node': self.child_node}
+                'chat_record_id': self.chat_record_id,
+                'child_node': self.child_node,
+                'reasoning_content': self.reasoning_content,
+                'real_node_id': self.real_node_id}
 
 
 class NodeChunk:

apps/application/flow/default_workflow_en.json

@@ -0,0 +1,451 @@
+{
+    "nodes": [
+        {
+            "id": "base-node",
+            "type": "base-node",
+            "x": 360,
+            "y": 2810,
+            "properties": {
+                "config": {
+
+                },
+                "height": 825.6,
+                "stepName": "Base",
+                "node_data": {
+                    "desc": "",
+                    "name": "maxkbapplication",
+                    "prologue": "Hello, I am the MaxKB assistant. You can ask me about MaxKB usage issues.\n-What are the main functions of MaxKB?\n-What major language models does MaxKB support?\n-What document types does MaxKB support?"
+                },
+                "input_field_list": [
+
+                ]
+            }
+        },
+        {
+            "id": "start-node",
+            "type": "start-node",
+            "x": 430,
+            "y": 3660,
+            "properties": {
+                "config": {
+                    "fields": [
+                        {
+                            "label": "用户问题",
+                            "value": "question"
+                        }
+                    ],
+                    "globalFields": [
+                        {
+                            "label": "当前时间",
+                            "value": "time"
+                        }
+                    ]
+                },
+                "fields": [
+                    {
+                        "label": "用户问题",
+                        "value": "question"
+                    }
+                ],
+                "height": 276,
+                "stepName": "Start",
+                "globalFields": [
+                    {
+                        "label": "当前时间",
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+                },
+                {
+                    "x": 1890,
+                    "y": 3200
+                },
+                {
+                    "x": 2000,
+                    "y": 3200
+                }
+            ],
+            "sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_4908_right",
+            "targetAnchorId": "f1f1ee18-5a02-46f6-b4e6-226253cdffbb_left"
+        },
+        {
+            "id": "19270caf-bb9f-4ba7-9bf8-200aa70fecd5",
+            "type": "app-edge",
+            "sourceNodeId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
+            "targetNodeId": "309d0eef-c597-46b5-8d51-b9a28aaef4c7",
+            "startPoint": {
+                "x": 1780,
+                "y": 3293.6124999999997
+            },
+            "endPoint": {
+                "x": 2000,
+                "y": 3970
+            },
+            "properties": {
+
+            },
+            "pointsList": [
+                {
+                    "x": 1780,
+                    "y": 3293.6124999999997
+                },
+                {
+                    "x": 1890,
+                    "y": 3293.6124999999997
+                },
+                {
+                    "x": 1890,
+                    "y": 3970
+                },
+                {
+                    "x": 2000,
+                    "y": 3970
+                }
+            ],
+            "sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_161_right",
+            "targetAnchorId": "309d0eef-c597-46b5-8d51-b9a28aaef4c7_left"
+        }
+    ]
+}

apps/application/flow/default_workflow_zh_Hant.json

@@ -0,0 +1,451 @@
+{
+    "nodes": [
+        {
+            "id": "base-node",
+            "type": "base-node",
+            "x": 360,
+            "y": 2810,
+            "properties": {
+                "config": {
+
+                },
+                "height": 825.6,
+                "stepName": "基本資訊",
+                "node_data": {
+                    "desc": "",
+                    "name": "maxkbapplication",
+                    "prologue": "您好，我是MaxKB小助手，您可以向我提出MaxKB使用問題。\n- MaxKB主要功能有什麼？\n- MaxKB支持哪些大語言模型？\n- MaxKB支持哪些文檔類型？"
+                },
+                "input_field_list": [
+
+                ]
+            }
+        },
+        {
+            "id": "start-node",
+            "type": "start-node",
+            "x": 430,
+            "y": 3660,
+            "properties": {
+                "config": {
+                    "fields": [
+                        {
+                            "label": "用户问题",
+                            "value": "question"
+                        }
+                    ],
+                    "globalFields": [
+                        {
+                            "label": "当前时间",
+                            "value": "time"
+                        }
+                    ]
+                },
+                "fields": [
+                    {
+                        "label": "用户问题",
+                        "value": "question"
+                    }
+                ],
+                "height": 276,
+                "stepName": "開始",
+                "globalFields": [
+                    {
+                        "label": "当前时间",
+                        "value": "time"
+                    }
+                ]
+            }
+        },
+        {
+            "id": "b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
+            "type": "search-dataset-node",
+            "x": 840,
+            "y": 3210,
+            "properties": {
+                "config": {
+                    "fields": [
+                        {
+                            "label": "检索结果的分段列表",
+                            "value": "paragraph_list"
+                        },
+                        {
+                            "label": "满足直接回答的分段列表",
+                            "value": "is_hit_handling_method_list"
+                        },
+                        {
+                            "label": "检索结果",
+                            "value": "data"
+                        },
+                        {
+                            "label": "满足直接回答的分段内容",
+                            "value": "directly_return"
+                        }
+                    ]
+                },
+                "height": 794,
+                "stepName": "知識庫檢索",
+                "node_data": {
+                    "dataset_id_list": [
+
+                    ],
+                    "dataset_setting": {
+                        "top_n": 3,
+                        "similarity": 0.6,
+                        "search_mode": "embedding",
+                        "max_paragraph_char_number": 5000
+                    },
+                    "question_reference_address": [
+                        "start-node",
+                        "question"
+                    ],
+                    "source_dataset_id_list": [
+
+                    ]
+                }
+            }
+        },
+        {
+            "id": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
+            "type": "condition-node",
+            "x": 1490,
+            "y": 3210,
+            "properties": {
+                "width": 600,
+                "config": {
+                    "fields": [
+                        {
+                            "label": "分支名称",
+                            "value": "branch_name"
+                        }
+                    ]
+                },
+                "height": 543.675,
+                "stepName": "判斷器",
+                "node_data": {
+                    "branch": [
+                        {
+                            "id": "1009",
+                            "type": "IF",
+                            "condition": "and",
+                            "conditions": [
+                                {
+                                    "field": [
+                                        "b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
+                                        "is_hit_handling_method_list"
+                                    ],
+                                    "value": "1",
+                                    "compare": "len_ge"
+                                }
+                            ]
+                        },
+                        {
+                            "id": "4908",
+                            "type": "ELSE IF 1",
+                            "condition": "and",
+                            "conditions": [
+                                {
+                                    "field": [
+                                        "b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
+                                        "paragraph_list"
+                                    ],
+                                    "value": "1",
+                                    "compare": "len_ge"
+                                }
+                            ]
+                        },
+                        {
+                            "id": "161",
+                            "type": "ELSE",
+                            "condition": "and",
+                            "conditions": [
+
+                            ]
+                        }
+                    ]
+                },
+                "branch_condition_list": [
+                    {
+                        "index": 0,
+                        "height": 121.225,
+                        "id": "1009"
+                    },
+                    {
+                        "index": 1,
+                        "height": 121.225,
+                        "id": "4908"
+                    },
+                    {
+                        "index": 2,
+                        "height": 44,
+                        "id": "161"
+                    }
+                ]
+            }
+        },
+        {
+            "id": "4ffe1086-25df-4c85-b168-979b5bbf0a26",
+            "type": "reply-node",
+            "x": 2170,
+            "y": 2480,
+            "properties": {
+                "config": {
+                    "fields": [
+                        {
+                            "label": "内容",
+                            "value": "answer"
+                        }
+                    ]
+                },
+                "height": 378,
+                "stepName": "指定回覆",
+                "node_data": {
+                    "fields": [
+                        "b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
+                        "directly_return"
+                    ],
+                    "content": "",
+                    "reply_type": "referencing",
+                    "is_result": true
+                }
+            }
+        },
+        {
+            "id": "f1f1ee18-5a02-46f6-b4e6-226253cdffbb",
+            "type": "ai-chat-node",
+            "x": 2160,
+            "y": 3200,
+            "properties": {
+                "config": {
+                    "fields": [
+                        {
+                            "label": "AI 回答内容",
+                            "value": "answer"
+                        }
+                    ]
+                },
+                "height": 763,
+                "stepName": "AI 對話",
+                "node_data": {
+                    "prompt": "已知資訊：\n{{知識庫檢索.data}}\n問題：\n{{開始.question}}",
+                    "system": "",
+                    "model_id": "",
+                    "dialogue_number": 0,
+                    "is_result": true
+                }
+            }
+        },
+        {
+            "id": "309d0eef-c597-46b5-8d51-b9a28aaef4c7",
+            "type": "ai-chat-node",
+            "x": 2160,
+            "y": 3970,
+            "properties": {
+                "config": {
+                    "fields": [
+                        {
+                            "label": "AI 回答内容",
+                            "value": "answer"
+                        }
+                    ]
+                },
+                "height": 763,
+                "stepName": "AI 對話1",
+                "node_data": {
+                    "prompt": "{{開始.question}}",
+                    "system": "",
+                    "model_id": "",
+                    "dialogue_number": 0,
+                    "is_result": true
+                }
+            }
+        }
+    ],
+    "edges": [
+        {
+            "id": "7d0f166f-c472-41b2-b9a2-c294f4c83d73",
+            "type": "app-edge",
+            "sourceNodeId": "start-node",
+            "targetNodeId": "b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
+            "startPoint": {
+                "x": 590,
+                "y": 3660
+            },
+            "endPoint": {
+                "x": 680,
+                "y": 3210
+            },
+            "properties": {
+
+            },
+            "pointsList": [
+                {
+                    "x": 590,
+                    "y": 3660
+                },
+                {
+                    "x": 700,
+                    "y": 3660
+                },
+                {
+                    "x": 570,
+                    "y": 3210
+                },
+                {
+                    "x": 680,
+                    "y": 3210
+                }
+            ],
+            "sourceAnchorId": "start-node_right",
+            "targetAnchorId": "b931efe5-5b66-46e0-ae3b-0160cb18eeb5_left"
+        },
+        {
+            "id": "35cb86dd-f328-429e-a973-12fd7218b696",
+            "type": "app-edge",
+            "sourceNodeId": "b931efe5-5b66-46e0-ae3b-0160cb18eeb5",
+            "targetNodeId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
+            "startPoint": {
+                "x": 1000,
+                "y": 3210
+            },
+            "endPoint": {
+                "x": 1200,
+                "y": 3210
+            },
+            "properties": {
+
+            },
+            "pointsList": [
+                {
+                    "x": 1000,
+                    "y": 3210
+                },
+                {
+                    "x": 1110,
+                    "y": 3210
+                },
+                {
+                    "x": 1090,
+                    "y": 3210
+                },
+                {
+                    "x": 1200,
+                    "y": 3210
+                }
+            ],
+            "sourceAnchorId": "b931efe5-5b66-46e0-ae3b-0160cb18eeb5_right",
+            "targetAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_left"
+        },
+        {
+            "id": "e8f6cfe6-7e48-41cd-abd3-abfb5304d0d8",
+            "type": "app-edge",
+            "sourceNodeId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
+            "targetNodeId": "4ffe1086-25df-4c85-b168-979b5bbf0a26",
+            "startPoint": {
+                "x": 1780,
+                "y": 3073.775
+            },
+            "endPoint": {
+                "x": 2010,
+                "y": 2480
+            },
+            "properties": {
+
+            },
+            "pointsList": [
+                {
+                    "x": 1780,
+                    "y": 3073.775
+                },
+                {
+                    "x": 1890,
+                    "y": 3073.775
+                },
+                {
+                    "x": 1900,
+                    "y": 2480
+                },
+                {
+                    "x": 2010,
+                    "y": 2480
+                }
+            ],
+            "sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_1009_right",
+            "targetAnchorId": "4ffe1086-25df-4c85-b168-979b5bbf0a26_left"
+        },
+        {
+            "id": "994ff325-6f7a-4ebc-b61b-10e15519d6d2",
+            "type": "app-edge",
+            "sourceNodeId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
+            "targetNodeId": "f1f1ee18-5a02-46f6-b4e6-226253cdffbb",
+            "startPoint": {
+                "x": 1780,
+                "y": 3203
+            },
+            "endPoint": {
+                "x": 2000,
+                "y": 3200
+            },
+            "properties": {
+
+            },
+            "pointsList": [
+                {
+                    "x": 1780,
+                    "y": 3203
+                },
+                {
+                    "x": 1890,
+                    "y": 3203
+                },
+                {
+                    "x": 1890,
+                    "y": 3200
+                },
+                {
+                    "x": 2000,
+                    "y": 3200
+                }
+            ],
+            "sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_4908_right",
+            "targetAnchorId": "f1f1ee18-5a02-46f6-b4e6-226253cdffbb_left"
+        },
+        {
+            "id": "19270caf-bb9f-4ba7-9bf8-200aa70fecd5",
+            "type": "app-edge",
+            "sourceNodeId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b",
+            "targetNodeId": "309d0eef-c597-46b5-8d51-b9a28aaef4c7",
+            "startPoint": {
+                "x": 1780,
+                "y": 3293.6124999999997
+            },
+            "endPoint": {
+                "x": 2000,
+                "y": 3970
+            },
+            "properties": {
+
+            },
+            "pointsList": [
+                {
+                    "x": 1780,
+                    "y": 3293.6124999999997
+                },
+                {
+                    "x": 1890,
+                    "y": 3293.6124999999997
+                },
+                {
+                    "x": 1890,
+                    "y": 3970
+                },
+                {
+                    "x": 2000,
+                    "y": 3970
+                }
+            ],
+            "sourceAnchorId": "fc60863a-dec2-4854-9e5a-7a44b7187a2b_161_right",
+            "targetAnchorId": "309d0eef-c597-46b5-8d51-b9a28aaef4c7_left"
+        }
+    ]
+}

apps/application/flow/i_step_node.py

@@ -62,7 +62,9 @@ class WorkFlowPostHandler:
         answer_tokens = sum([row.get('answer_tokens') for row in details.values() if
                              'answer_tokens' in row and row.get('answer_tokens') is not None])
         answer_text_list = workflow.get_answer_text_list()
-        answer_text = '\n\n'.join(answer['content'] for answer in answer_text_list)
+        answer_text = '\n\n'.join(
+            '\n\n'.join([a.get('content') for a in answer]) for answer in
+            answer_text_list)
         if workflow.chat_record is not None:
             chat_record = workflow.chat_record
             chat_record.answer_text = answer_text
@@ -82,7 +84,8 @@ class WorkFlowPostHandler:
                                      answer_text_list=answer_text_list,
                                      run_time=time.time() - workflow.context['start_time'],
                                      index=0)
-        self.chat_info.append_chat_record(chat_record, self.client_id)
+        asker = workflow.context.get('asker', None)
+        self.chat_info.append_chat_record(chat_record, self.client_id, asker)
         # 重新设置缓存
         chat_cache.set(chat_id,
                        self.chat_info, timeout=60 * 30)
@@ -157,8 +160,10 @@ class INode:
     def get_answer_list(self) -> List[Answer] | None:
         if self.answer_text is None:
             return None
+        reasoning_content_enable = self.context.get('model_setting', {}).get('reasoning_content_enable', False)
         return [
-            Answer(self.answer_text, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], {})]
+            Answer(self.answer_text, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], {},
+                   self.runtime_node_id, self.context.get('reasoning_content', '') if reasoning_content_enable else '')]
 
     def __init__(self, node, workflow_params, workflow_manage, up_node_id_list=None,
                  get_node_params=lambda node: node.properties.get('node_data')):

apps/application/flow/step_node/__init__.py

@@ -24,11 +24,15 @@ from .search_dataset_node import *
 from .speech_to_text_step_node import BaseSpeechToTextNode
 from .start_node import *
 from .text_to_speech_step_node.impl.base_text_to_speech_node import BaseTextToSpeechNode
+from .variable_assign_node import BaseVariableAssignNode
+from .mcp_node import BaseMcpNode
 
-node_list = [BaseStartStepNode, BaseChatNode, BaseSearchDatasetNode, BaseQuestionNode, BaseConditionNode, BaseReplyNode,
+node_list = [BaseStartStepNode, BaseChatNode, BaseSearchDatasetNode, BaseQuestionNode,
+             BaseConditionNode, BaseReplyNode,
              BaseFunctionNodeNode, BaseFunctionLibNodeNode, BaseRerankerNode, BaseApplicationNode,
              BaseDocumentExtractNode,
-             BaseImageUnderstandNode, BaseFormNode, BaseSpeechToTextNode, BaseTextToSpeechNode,BaseImageGenerateNode]
+             BaseImageUnderstandNode, BaseFormNode, BaseSpeechToTextNode, BaseTextToSpeechNode,
+             BaseImageGenerateNode, BaseVariableAssignNode, BaseMcpNode]
 
 
 def get_node(node_type):

apps/application/flow/step_node/ai_chat_step_node/i_chat_node.py

@@ -8,6 +8,7 @@
 """
 from typing import Type
 
+from django.utils.translation import gettext_lazy as _
 from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
@@ -15,19 +16,26 @@ from common.util.field_message import ErrMessage
 
 
 class ChatNodeSerializer(serializers.Serializer):
-    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
+    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
     system = serializers.CharField(required=False, allow_blank=True, allow_null=True,
-                                   error_messages=ErrMessage.char("角色设定"))
-    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
+                                   error_messages=ErrMessage.char(_("Role Setting")))
+    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
     # 多轮对话数量
-    dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
+    dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(
+        _("Number of multi-round conversations")))
 
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
-
-    model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.integer("模型参数相关设置"))
+    is_result = serializers.BooleanField(required=False,
+                                         error_messages=ErrMessage.boolean(_('Whether to return content')))
 
+    model_params_setting = serializers.DictField(required=False,
+                                                 error_messages=ErrMessage.dict(_("Model parameter settings")))
+    model_setting = serializers.DictField(required=False,
+                                          error_messages=ErrMessage.dict('Model settings'))
     dialogue_type = serializers.CharField(required=False, allow_blank=True, allow_null=True,
-                                          error_messages=ErrMessage.char("上下文类型"))
+                                          error_messages=ErrMessage.char(_("Context Type")))
+    mcp_enable = serializers.BooleanField(required=False,
+                                         error_messages=ErrMessage.boolean(_("Whether to enable MCP")))
+    mcp_servers = serializers.JSONField(required=False, error_messages=ErrMessage.list(_("MCP Server")))
 
 
 class IChatNode(INode):
@@ -43,5 +51,8 @@ class IChatNode(INode):
                 chat_record_id,
                 model_params_setting=None,
                 dialogue_type=None,
+                model_setting=None,
+                mcp_enable=False,
+                mcp_servers=None,
                 **kwargs) -> NodeResult:
         pass

apps/application/flow/step_node/ai_chat_step_node/impl/base_chat_node.py

@@ -6,22 +6,43 @@
     @date：2024/6/4 14:30
     @desc:
 """
+import asyncio
+import json
+import re
 import time
 from functools import reduce
+from types import AsyncGeneratorType
 from typing import List, Dict
 
 from django.db.models import QuerySet
 from langchain.schema import HumanMessage, SystemMessage
-from langchain_core.messages import BaseMessage, AIMessage
+from langchain_core.messages import BaseMessage, AIMessage, AIMessageChunk, ToolMessage
+from langchain_mcp_adapters.client import MultiServerMCPClient
+from langgraph.prebuilt import create_react_agent
 
 from application.flow.i_step_node import NodeResult, INode
 from application.flow.step_node.ai_chat_step_node.i_chat_node import IChatNode
+from application.flow.tools import Reasoning
 from setting.models import Model
 from setting.models_provider import get_model_credential
 from setting.models_provider.tools import get_model_instance_by_model_user_id
 
+tool_message_template = """
+<details>
+    <summary>
+        <strong>Called MCP Tool: <em>%s</em></strong>
+    </summary>
 
-def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str):
+```json
+%s
+```
+</details>
+
+"""
+
+
+def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str,
+                   reasoning_content: str):
     chat_model = node_variable.get('chat_model')
     message_tokens = chat_model.get_num_tokens_from_messages(node_variable.get('message_list'))
     answer_tokens = chat_model.get_num_tokens(answer)
@@ -31,6 +52,7 @@ def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wo
     node.context['history_message'] = node_variable['history_message']
     node.context['question'] = node_variable['question']
     node.context['run_time'] = time.time() - node.context['start_time']
+    node.context['reasoning_content'] = reasoning_content
     if workflow.is_result(node, NodeResult(node_variable, workflow_variable)):
         node.answer_text = answer
 
@@ -45,10 +67,73 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
     """
     response = node_variable.get('result')
     answer = ''
+    reasoning_content = ''
+    model_setting = node.context.get('model_setting',
+                                     {'reasoning_content_enable': False, 'reasoning_content_end': '</think>',
+                                      'reasoning_content_start': '<think>'})
+    reasoning = Reasoning(model_setting.get('reasoning_content_start', '<think>'),
+                          model_setting.get('reasoning_content_end', '</think>'))
+    response_reasoning_content = False
+
     for chunk in response:
-        answer += chunk.content
-        yield chunk.content
-    _write_context(node_variable, workflow_variable, node, workflow, answer)
+        reasoning_chunk = reasoning.get_reasoning_content(chunk)
+        content_chunk = reasoning_chunk.get('content')
+        if 'reasoning_content' in chunk.additional_kwargs:
+            response_reasoning_content = True
+            reasoning_content_chunk = chunk.additional_kwargs.get('reasoning_content', '')
+        else:
+            reasoning_content_chunk = reasoning_chunk.get('reasoning_content')
+        answer += content_chunk
+        if reasoning_content_chunk is None:
+            reasoning_content_chunk = ''
+        reasoning_content += reasoning_content_chunk
+        yield {'content': content_chunk,
+               'reasoning_content': reasoning_content_chunk if model_setting.get('reasoning_content_enable',
+                                                                                 False) else ''}
+
+    reasoning_chunk = reasoning.get_end_reasoning_content()
+    answer += reasoning_chunk.get('content')
+    reasoning_content_chunk = ""
+    if not response_reasoning_content:
+        reasoning_content_chunk = reasoning_chunk.get(
+            'reasoning_content')
+    yield {'content': reasoning_chunk.get('content'),
+           'reasoning_content': reasoning_content_chunk if model_setting.get('reasoning_content_enable',
+                                                                             False) else ''}
+    _write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)
+
+
+async def _yield_mcp_response(chat_model, message_list, mcp_servers):
+    async with MultiServerMCPClient(json.loads(mcp_servers)) as client:
+        agent = create_react_agent(chat_model, client.get_tools())
+        response = agent.astream({"messages": message_list}, stream_mode='messages')
+        async for chunk in response:
+            if isinstance(chunk[0], ToolMessage):
+                content = tool_message_template % (chunk[0].name, chunk[0].content)
+                chunk[0].content = content
+                yield chunk[0]
+            if isinstance(chunk[0], AIMessageChunk):
+                yield chunk[0]
+
+
+def mcp_response_generator(chat_model, message_list, mcp_servers):
+    loop = asyncio.new_event_loop()
+    try:
+        async_gen = _yield_mcp_response(chat_model, message_list, mcp_servers)
+        while True:
+            try:
+                chunk = loop.run_until_complete(anext_async(async_gen))
+                yield chunk
+            except StopAsyncIteration:
+                break
+    except Exception as e:
+        print(f'exception: {e}')
+    finally:
+        loop.close()
+
+
+async def anext_async(agen):
+    return await agen.__anext__()
 
 
 def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow):
@@ -60,8 +145,18 @@ def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wor
     @param workflow:           工作流管理器
     """
     response = node_variable.get('result')
-    answer = response.content
-    _write_context(node_variable, workflow_variable, node, workflow, answer)
+    model_setting = node.context.get('model_setting',
+                                     {'reasoning_content_enable': False, 'reasoning_content_end': '</think>',
+                                      'reasoning_content_start': '<think>'})
+    reasoning = Reasoning(model_setting.get('reasoning_content_start'), model_setting.get('reasoning_content_end'))
+    reasoning_result = reasoning.get_reasoning_content(response)
+    reasoning_result_end = reasoning.get_end_reasoning_content()
+    content = reasoning_result.get('content') + reasoning_result_end.get('content')
+    if 'reasoning_content' in response.response_metadata:
+        reasoning_content = response.response_metadata.get('reasoning_content', '')
+    else:
+        reasoning_content = reasoning_result.get('reasoning_content') + reasoning_result_end.get('reasoning_content')
+    _write_context(node_variable, workflow_variable, node, workflow, content, reasoning_content)
 
 
 def get_default_model_params_setting(model_id):
@@ -92,17 +187,26 @@ class BaseChatNode(IChatNode):
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
         self.context['question'] = details.get('question')
-        self.answer_text = details.get('answer')
+        self.context['reasoning_content'] = details.get('reasoning_content')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
 
     def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id, chat_record_id,
                 model_params_setting=None,
                 dialogue_type=None,
+                model_setting=None,
+                mcp_enable=False,
+                mcp_servers=None,
                 **kwargs) -> NodeResult:
         if dialogue_type is None:
             dialogue_type = 'WORKFLOW'
 
         if model_params_setting is None:
             model_params_setting = get_default_model_params_setting(model_id)
+        if model_setting is None:
+            model_setting = {'reasoning_content_enable': False, 'reasoning_content_end': '</think>',
+                             'reasoning_content_start': '<think>'}
+        self.context['model_setting'] = model_setting
         chat_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'),
                                                          **model_params_setting)
         history_message = self.get_history_message(history_chat_record, dialogue_number, dialogue_type,
@@ -114,6 +218,14 @@ class BaseChatNode(IChatNode):
         self.context['system'] = system
         message_list = self.generate_message_list(system, prompt, history_message)
         self.context['message_list'] = message_list
+
+        if mcp_enable and mcp_servers is not None and '"stdio"' not in mcp_servers:
+            r = mcp_response_generator(chat_model, message_list, mcp_servers)
+            return NodeResult(
+                {'result': r, 'chat_model': chat_model, 'message_list': message_list,
+                 'history_message': history_message, 'question': question.content}, {},
+                _write_context=write_context_stream)
+
         if stream:
             r = chat_model.stream(message_list)
             return NodeResult({'result': r, 'chat_model': chat_model, 'message_list': message_list,
@@ -132,6 +244,9 @@ class BaseChatNode(IChatNode):
             get_message(history_chat_record[index], dialogue_type, runtime_node_id)
             for index in
             range(start_index if start_index > 0 else 0, len(history_chat_record))], [])
+        for message in history_message:
+            if isinstance(message.content, str):
+                message.content = re.sub('<form_rander>[\d\D]*?<\/form_rander>', '', message.content)
         return history_message
 
     def generate_prompt_question(self, prompt):
@@ -164,6 +279,7 @@ class BaseChatNode(IChatNode):
                                     'history_message') is not None else [])],
             'question': self.context.get('question'),
             'answer': self.context.get('answer'),
+            'reasoning_content': self.context.get('reasoning_content'),
             'type': self.node.type,
             'message_tokens': self.context.get('message_tokens'),
             'answer_tokens': self.context.get('answer_tokens'),

apps/application/flow/step_node/application_node/i_application_node.py

@@ -6,17 +6,22 @@ from rest_framework import serializers
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
 
+from django.utils.translation import gettext_lazy as _
+
 
 class ApplicationNodeSerializer(serializers.Serializer):
-    application_id = serializers.CharField(required=True, error_messages=ErrMessage.char("应用id"))
-    question_reference_address = serializers.ListField(required=True, error_messages=ErrMessage.list("用户问题"))
-    api_input_field_list = serializers.ListField(required=False, error_messages=ErrMessage.list("api输入字段"))
-    user_input_field_list = serializers.ListField(required=False, error_messages=ErrMessage.uuid("用户输入字段"))
-    image_list = serializers.ListField(required=False, error_messages=ErrMessage.list("图片"))
-    document_list = serializers.ListField(required=False, error_messages=ErrMessage.list("文档"))
-    audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list("音频"))
-    child_node = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("子节点"))
-    node_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("表单数据"))
+    application_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Application ID")))
+    question_reference_address = serializers.ListField(required=True,
+                                                       error_messages=ErrMessage.list(_("User Questions")))
+    api_input_field_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("API Input Fields")))
+    user_input_field_list = serializers.ListField(required=False,
+                                                  error_messages=ErrMessage.uuid(_("User Input Fields")))
+    image_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("picture")))
+    document_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("document")))
+    audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Audio")))
+    child_node = serializers.DictField(required=False, allow_null=True,
+                                       error_messages=ErrMessage.dict(_("Child Nodes")))
+    node_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict(_("Form Data")))
 
 
 class IApplicationNode(INode):
@@ -31,11 +36,16 @@ class IApplicationNode(INode):
             self.node_params_serializer.data.get('question_reference_address')[1:])
         kwargs = {}
         for api_input_field in self.node_params_serializer.data.get('api_input_field_list', []):
-            kwargs[api_input_field['variable']] = self.workflow_manage.get_reference_field(api_input_field['value'][0],
-                                                                                           api_input_field['value'][1:])
+            value = api_input_field.get('value', [''])[0] if api_input_field.get('value') else ''
+            kwargs[api_input_field['variable']] = self.workflow_manage.get_reference_field(value,
+                                                                                           api_input_field['value'][
+                                                                                           1:]) if value != '' else ''
+
         for user_input_field in self.node_params_serializer.data.get('user_input_field_list', []):
-            kwargs[user_input_field['field']] = self.workflow_manage.get_reference_field(user_input_field['value'][0],
-                                                                                         user_input_field['value'][1:])
+            value = user_input_field.get('value', [''])[0] if user_input_field.get('value') else ''
+            kwargs[user_input_field['field']] = self.workflow_manage.get_reference_field(value,
+                                                                                         user_input_field['value'][
+                                                                                         1:]) if value != '' else ''
         # 判断是否包含这个属性
         app_document_list = self.node_params_serializer.data.get('document_list', [])
         if app_document_list and len(app_document_list) > 0:
@@ -44,7 +54,8 @@ class IApplicationNode(INode):
                 app_document_list[1:])
             for document in app_document_list:
                 if 'file_id' not in document:
-                    raise ValueError("参数值错误: 上传的文档中缺少file_id，文档上传失败")
+                    raise ValueError(
+                        _("Parameter value error: The uploaded document lacks file_id, and the document upload fails"))
         app_image_list = self.node_params_serializer.data.get('image_list', [])
         if app_image_list and len(app_image_list) > 0:
             app_image_list = self.workflow_manage.get_reference_field(
@@ -52,7 +63,8 @@ class IApplicationNode(INode):
                 app_image_list[1:])
             for image in app_image_list:
                 if 'file_id' not in image:
-                    raise ValueError("参数值错误: 上传的图片中缺少file_id，图片上传失败")
+                    raise ValueError(
+                        _("Parameter value error: The uploaded image lacks file_id, and the image upload fails"))
 
         app_audio_list = self.node_params_serializer.data.get('audio_list', [])
         if app_audio_list and len(app_audio_list) > 0:
@@ -61,7 +73,8 @@ class IApplicationNode(INode):
                 app_audio_list[1:])
             for audio in app_audio_list:
                 if 'file_id' not in audio:
-                    raise ValueError("参数值错误: 上传的图片中缺少file_id，音频上传失败")
+                    raise ValueError(
+                        _("Parameter value error: The uploaded audio lacks file_id, and the audio upload fails."))
         return self.execute(**self.node_params_serializer.data, **self.flow_params_serializer.data,
                             app_document_list=app_document_list, app_image_list=app_image_list,
                             app_audio_list=app_audio_list,

apps/application/flow/step_node/application_node/impl/base_application_node.py

@@ -19,7 +19,8 @@ def _is_interrupt_exec(node, node_variable: Dict, workflow_variable: Dict):
     return node_variable.get('is_interrupt_exec', False)
 
 
-def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str):
+def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow, answer: str,
+                   reasoning_content: str):
     result = node_variable.get('result')
     node.context['application_node_dict'] = node_variable.get('application_node_dict')
     node.context['node_dict'] = node_variable.get('node_dict', {})
@@ -28,6 +29,7 @@ def _write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wo
     node.context['answer_tokens'] = result.get('usage', {}).get('completion_tokens', 0)
     node.context['answer'] = answer
     node.context['result'] = answer
+    node.context['reasoning_content'] = reasoning_content
     node.context['question'] = node_variable['question']
     node.context['run_time'] = time.time() - node.context['start_time']
     if workflow.is_result(node, NodeResult(node_variable, workflow_variable)):
@@ -44,6 +46,7 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
     """
     response = node_variable.get('result')
     answer = ''
+    reasoning_content = ''
     usage = {}
     node_child_node = {}
     application_node_dict = node.context.get('application_node_dict', {})
@@ -60,9 +63,11 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
         node_type = response_content.get('node_type')
         real_node_id = response_content.get('real_node_id')
         node_is_end = response_content.get('node_is_end', False)
+        _reasoning_content = response_content.get('reasoning_content', '')
         if node_type == 'form-node':
             is_interrupt_exec = True
         answer += content
+        reasoning_content += _reasoning_content
         node_child_node = {'runtime_node_id': runtime_node_id, 'chat_record_id': chat_record_id,
                            'child_node': child_node}
 
@@ -75,13 +80,16 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
                                                        'chat_record_id': chat_record_id,
                                                        'child_node': child_node,
                                                        'index': len(application_node_dict),
-                                                       'view_type': view_type}
+                                                       'view_type': view_type,
+                                                       'reasoning_content': _reasoning_content}
             else:
                 application_node['content'] += content
+                application_node['reasoning_content'] += _reasoning_content
 
         yield {'content': content,
                'node_type': node_type,
                'runtime_node_id': runtime_node_id, 'chat_record_id': chat_record_id,
+               'reasoning_content': _reasoning_content,
                'child_node': child_node,
                'real_node_id': real_node_id,
                'node_is_end': node_is_end,
@@ -91,7 +99,7 @@ def write_context_stream(node_variable: Dict, workflow_variable: Dict, node: INo
     node_variable['is_interrupt_exec'] = is_interrupt_exec
     node_variable['child_node'] = node_child_node
     node_variable['application_node_dict'] = application_node_dict
-    _write_context(node_variable, workflow_variable, node, workflow, answer)
+    _write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)
 
 
 def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, workflow):
@@ -106,7 +114,12 @@ def write_context(node_variable: Dict, workflow_variable: Dict, node: INode, wor
     node_variable['result'] = {'usage': {'completion_tokens': response.get('completion_tokens'),
                                          'prompt_tokens': response.get('prompt_tokens')}}
     answer = response.get('content', '') or "抱歉，没有查找到相关内容，请重新描述您的问题或提供更多信息。"
-    _write_context(node_variable, workflow_variable, node, workflow, answer)
+    reasoning_content = response.get('reasoning_content', '')
+    answer_list = response.get('answer_list', [])
+    node_variable['application_node_dict'] = {answer.get('real_node_id'): {**answer, 'index': index} for answer, index
+                                              in
+                                              zip(answer_list, range(len(answer_list)))}
+    _write_context(node_variable, workflow_variable, node, workflow, answer, reasoning_content)
 
 
 def reset_application_node_dict(application_node_dict, runtime_node_id, node_data):
@@ -139,19 +152,24 @@ class BaseApplicationNode(IApplicationNode):
         if application_node_dict is None or len(application_node_dict) == 0:
             return [
                 Answer(self.answer_text, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'],
-                       self.context.get('child_node'))]
+                       self.context.get('child_node'), self.runtime_node_id, '')]
         else:
             return [Answer(n.get('content'), n.get('view_type'), self.runtime_node_id,
                            self.workflow_params['chat_record_id'], {'runtime_node_id': n.get('runtime_node_id'),
                                                                     'chat_record_id': n.get('chat_record_id')
-                               , 'child_node': n.get('child_node')}) for n in
+                               , 'child_node': n.get('child_node')}, n.get('real_node_id'),
+                           n.get('reasoning_content', ''))
+                    for n in
                     sorted(application_node_dict.values(), key=lambda item: item.get('index'))]
 
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
+        self.context['result'] = details.get('answer')
         self.context['question'] = details.get('question')
         self.context['type'] = details.get('type')
-        self.answer_text = details.get('answer')
+        self.context['reasoning_content'] = details.get('reasoning_content')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
 
     def execute(self, application_id, message, chat_id, chat_record_id, stream, re_chat, client_id, client_type,
                 app_document_list=None, app_image_list=None, app_audio_list=None, child_node=None, node_data=None,
@@ -161,7 +179,8 @@ class BaseApplicationNode(IApplicationNode):
         current_chat_id = string_to_uuid(chat_id + application_id)
         Chat.objects.get_or_create(id=current_chat_id, defaults={
             'application_id': application_id,
-            'abstract': message
+            'abstract': message[0:1024],
+            'client_id': client_id,
         })
         if app_document_list is None:
             app_document_list = []
@@ -207,20 +226,25 @@ class BaseApplicationNode(IApplicationNode):
     def get_details(self, index: int, **kwargs):
         global_fields = []
         for api_input_field in self.node_params_serializer.data.get('api_input_field_list', []):
+            value = api_input_field.get('value', [''])[0] if api_input_field.get('value') else ''
             global_fields.append({
                 'label': api_input_field['variable'],
                 'key': api_input_field['variable'],
                 'value': self.workflow_manage.get_reference_field(
-                    api_input_field['value'][0],
-                    api_input_field['value'][1:])
+                    value,
+                    api_input_field['value'][1:]
+                ) if value != '' else ''
             })
+
         for user_input_field in self.node_params_serializer.data.get('user_input_field_list', []):
+            value = user_input_field.get('value', [''])[0] if user_input_field.get('value') else ''
             global_fields.append({
                 'label': user_input_field['label'],
                 'key': user_input_field['field'],
                 'value': self.workflow_manage.get_reference_field(
-                    user_input_field['value'][0],
-                    user_input_field['value'][1:])
+                    value,
+                    user_input_field['value'][1:]
+                ) if value != '' else ''
             })
         return {
             'name': self.node.properties.get('stepName'),
@@ -229,6 +253,7 @@ class BaseApplicationNode(IApplicationNode):
             'run_time': self.context.get('run_time'),
             'question': self.context.get('question'),
             'answer': self.context.get('answer'),
+            'reasoning_content': self.context.get('reasoning_content'),
             'type': self.node.type,
             'message_tokens': self.context.get('message_tokens'),
             'answer_tokens': self.context.get('answer_tokens'),

apps/application/flow/step_node/condition_node/compare/__init__.py

@@ -9,20 +9,22 @@
 
 from .contain_compare import *
 from .equal_compare import *
-from .gt_compare import *
 from .ge_compare import *
+from .gt_compare import *
+from .is_not_null_compare import *
+from .is_not_true import IsNotTrueCompare
+from .is_null_compare import *
+from .is_true import IsTrueCompare
 from .le_compare import *
-from .lt_compare import *
+from .len_equal_compare import *
 from .len_ge_compare import *
 from .len_gt_compare import *
 from .len_le_compare import *
 from .len_lt_compare import *
-from .len_equal_compare import *
-from .is_not_null_compare import *
-from .is_null_compare import *
+from .lt_compare import *
 from .not_contain_compare import *
 
 compare_handle_list = [GECompare(), GTCompare(), ContainCompare(), EqualCompare(), LTCompare(), LECompare(),
                        LenLECompare(), LenGECompare(), LenEqualCompare(), LenGTCompare(), LenLTCompare(),
                        IsNullCompare(),
-                       IsNotNullCompare(), NotContainCompare()]
+                       IsNotNullCompare(), NotContainCompare(), IsTrueCompare(), IsNotTrueCompare()]

apps/application/flow/step_node/condition_node/compare/is_not_true.py

@@ -0,0 +1,24 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： is_not_true.py
+    @date：2025/4/7 13:44
+    @desc:
+"""
+from typing import List
+
+from application.flow.step_node.condition_node.compare import Compare
+
+
+class IsNotTrueCompare(Compare):
+
+    def support(self, node_id, fields: List[str], source_value, compare, target_value):
+        if compare == 'is_not_true':
+            return True
+
+    def compare(self, source_value, compare, target_value):
+        try:
+            return source_value is False
+        except Exception as e:
+            return False

apps/application/flow/step_node/condition_node/compare/is_true.py

@@ -0,0 +1,24 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： IsTrue.py
+    @date：2025/4/7 13:38
+    @desc:
+"""
+from typing import List
+
+from application.flow.step_node.condition_node.compare import Compare
+
+
+class IsTrueCompare(Compare):
+
+    def support(self, node_id, fields: List[str], source_value, compare, target_value):
+        if compare == 'is_true':
+            return True
+
+    def compare(self, source_value, compare, target_value):
+        try:
+            return source_value is True
+        except Exception as e:
+            return False

apps/application/flow/step_node/condition_node/i_condition_node.py

@@ -6,9 +6,9 @@
     @date：2024/6/7 9:54
     @desc:
 """
-import json
 from typing import Type
 
+from django.utils.translation import gettext_lazy as _
 from rest_framework import serializers
 
 from application.flow.i_step_node import INode
@@ -16,15 +16,15 @@ from common.util.field_message import ErrMessage
 
 
 class ConditionSerializer(serializers.Serializer):
-    compare = serializers.CharField(required=True, error_messages=ErrMessage.char("比较器"))
-    value = serializers.CharField(required=True, error_messages=ErrMessage.char(""))
-    field = serializers.ListField(required=True, error_messages=ErrMessage.char("字段"))
+    compare = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Comparator")))
+    value = serializers.CharField(required=True, error_messages=ErrMessage.char(_("value")))
+    field = serializers.ListField(required=True, error_messages=ErrMessage.char(_("Fields")))
 
 
 class ConditionBranchSerializer(serializers.Serializer):
-    id = serializers.CharField(required=True, error_messages=ErrMessage.char("分支id"))
-    type = serializers.CharField(required=True, error_messages=ErrMessage.char("分支类型"))
-    condition = serializers.CharField(required=True, error_messages=ErrMessage.char("条件or|and"))
+    id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Branch id")))
+    type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Branch Type")))
+    condition = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Condition or|and")))
     conditions = ConditionSerializer(many=True)
 
 

apps/application/flow/step_node/condition_node/impl/base_condition_node.py

@@ -36,7 +36,15 @@ class BaseConditionNode(IConditionNode):
         return all(condition_list) if condition == 'and' else any(condition_list)
 
     def assertion(self, field_list: List[str], compare: str, value):
-        field_value = self.workflow_manage.get_reference_field(field_list[0], field_list[1:])
+        try:
+            value = self.workflow_manage.generate_prompt(value)
+        except Exception as e:
+            pass
+        field_value = None
+        try:
+            field_value = self.workflow_manage.get_reference_field(field_list[0], field_list[1:])
+        except  Exception as e:
+            pass
         for compare_handler in compare_handle_list:
             if compare_handler.support(field_list[0], field_list[1:], field_value, compare, value):
                 return compare_handler.compare(field_value, compare, value)

apps/application/flow/step_node/direct_reply_node/i_reply_node.py

@@ -13,25 +13,26 @@ from rest_framework import serializers
 from application.flow.i_step_node import INode, NodeResult
 from common.exception.app_exception import AppApiException
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class ReplyNodeParamsSerializer(serializers.Serializer):
-    reply_type = serializers.CharField(required=True, error_messages=ErrMessage.char("回复类型"))
-    fields = serializers.ListField(required=False, error_messages=ErrMessage.list("引用字段"))
+    reply_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Response Type")))
+    fields = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Reference Field")))
     content = serializers.CharField(required=False, allow_blank=True, allow_null=True,
-                                    error_messages=ErrMessage.char("直接回答内容"))
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
+                                    error_messages=ErrMessage.char(_("Direct answer content")))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
 
     def is_valid(self, *, raise_exception=False):
         super().is_valid(raise_exception=True)
         if self.data.get('reply_type') == 'referencing':
             if 'fields' not in self.data:
-                raise AppApiException(500, "引用字段不能为空")
+                raise AppApiException(500, _("Reference field cannot be empty"))
             if len(self.data.get('fields')) < 2:
-                raise AppApiException(500, "引用字段错误")
+                raise AppApiException(500, _("Reference field error"))
         else:
             if 'content' not in self.data or self.data.get('content') is None:
-                raise AppApiException(500, "内容不能为空")
+                raise AppApiException(500, _("Content cannot be empty"))
 
 
 class IReplyNode(INode):

apps/application/flow/step_node/direct_reply_node/impl/base_reply_node.py

@@ -15,7 +15,9 @@ from application.flow.step_node.direct_reply_node.i_reply_node import IReplyNode
 class BaseReplyNode(IReplyNode):
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
-        self.answer_text = details.get('answer')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
+
     def execute(self, reply_type, stream, fields=None, content=None, **kwargs) -> NodeResult:
         if reply_type == 'referencing':
             result = self.get_reference_content(fields)

apps/application/flow/step_node/document_extract_node/i_document_extract_node.py

@@ -2,6 +2,7 @@
 
 from typing import Type
 
+from django.utils.translation import gettext_lazy as _
 from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
@@ -9,7 +10,7 @@ from common.util.field_message import ErrMessage
 
 
 class DocumentExtractNodeSerializer(serializers.Serializer):
-    document_list = serializers.ListField(required=False, error_messages=ErrMessage.list("文档"))
+    document_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("document")))
 
 
 class IDocumentExtractNode(INode):

apps/application/flow/step_node/document_extract_node/impl/base_document_extract_node.py

@@ -38,6 +38,10 @@ def bytes_to_uploaded_file(file_bytes, file_name="file.txt"):
 splitter = '\n`-----------------------------------`\n'
 
 class BaseDocumentExtractNode(IDocumentExtractNode):
+    def save_context(self, details, workflow_manage):
+        self.context['content'] = details.get('content')
+
+
     def execute(self, document, chat_id, **kwargs):
         get_buffer = FileBufferHandle().get_buffer
 

apps/application/flow/step_node/form_node/i_form_node.py

@@ -12,12 +12,13 @@ from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class FormNodeParamsSerializer(serializers.Serializer):
-    form_field_list = serializers.ListField(required=True, error_messages=ErrMessage.list("表单配置"))
-    form_content_format = serializers.CharField(required=True, error_messages=ErrMessage.char('表单输出内容'))
-    form_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("表单数据"))
+    form_field_list = serializers.ListField(required=True, error_messages=ErrMessage.list(_("Form Configuration")))
+    form_content_format = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Form output content')))
+    form_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict(_("Form Data")))
 
 
 class IFormNode(INode):

apps/application/flow/step_node/form_node/impl/base_form_node.py

@@ -38,7 +38,8 @@ class BaseFormNode(IFormNode):
         self.context['start_time'] = details.get('start_time')
         self.context['form_data'] = form_data
         self.context['is_submit'] = details.get('is_submit')
-        self.answer_text = details.get('result')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('result')
         if form_data is not None:
             for key in form_data:
                 self.context[key] = form_data[key]
@@ -54,7 +55,7 @@ class BaseFormNode(IFormNode):
         form_setting = {"form_field_list": form_field_list, "runtime_node_id": self.runtime_node_id,
                         "chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
                         "is_submit": self.context.get("is_submit", False)}
-        form = f'<form_rander>{json.dumps(form_setting)}</form_rander>'
+        form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
         context = self.workflow_manage.get_workflow_content()
         form_content_format = self.workflow_manage.reset_prompt(form_content_format)
         prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')
@@ -70,12 +71,13 @@ class BaseFormNode(IFormNode):
                         "chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
                         'form_data': self.context.get('form_data', {}),
                         "is_submit": self.context.get("is_submit", False)}
-        form = f'<form_rander>{json.dumps(form_setting)}</form_rander>'
+        form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
         context = self.workflow_manage.get_workflow_content()
         form_content_format = self.workflow_manage.reset_prompt(form_content_format)
         prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')
         value = prompt_template.format(form=form, context=context)
-        return [Answer(value, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], None)]
+        return [Answer(value, self.view_type, self.runtime_node_id, self.workflow_params['chat_record_id'], None,
+                       self.runtime_node_id, '')]
 
     def get_details(self, index: int, **kwargs):
         form_content_format = self.context.get('form_content_format')
@@ -84,7 +86,7 @@ class BaseFormNode(IFormNode):
                         "chat_record_id": self.flow_params_serializer.data.get("chat_record_id"),
                         'form_data': self.context.get('form_data', {}),
                         "is_submit": self.context.get("is_submit", False)}
-        form = f'<form_rander>{json.dumps(form_setting)}</form_rander>'
+        form = f'<form_rander>{json.dumps(form_setting, ensure_ascii=False)}</form_rander>'
         context = self.workflow_manage.get_workflow_content()
         form_content_format = self.workflow_manage.reset_prompt(form_content_format)
         prompt_template = PromptTemplate.from_template(form_content_format, template_format='jinja2')

apps/application/flow/step_node/function_lib_node/i_function_lib_node.py

@@ -15,23 +15,24 @@ from application.flow.i_step_node import INode, NodeResult
 from common.field.common import ObjectField
 from common.util.field_message import ErrMessage
 from function_lib.models.function import FunctionLib
+from django.utils.translation import gettext_lazy as _
 
 
 class InputField(serializers.Serializer):
-    name = serializers.CharField(required=True, error_messages=ErrMessage.char('变量名'))
-    value = ObjectField(required=True, error_messages=ErrMessage.char("变量值"), model_type_list=[str, list])
+    name = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Variable Name')))
+    value = ObjectField(required=True, error_messages=ErrMessage.char(_("Variable Value")), model_type_list=[str, list])
 
 
 class FunctionLibNodeParamsSerializer(serializers.Serializer):
-    function_lib_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid('函数库id'))
+    function_lib_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_('Library ID')))
     input_field_list = InputField(required=True, many=True)
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
 
     def is_valid(self, *, raise_exception=False):
         super().is_valid(raise_exception=True)
         f_lib = QuerySet(FunctionLib).filter(id=self.data.get('function_lib_id')).first()
         if f_lib is None:
-            raise Exception('函数库已被删除')
+            raise Exception(_('The function has been deleted'))
 
 
 class IFunctionLibNode(INode):

apps/application/flow/step_node/function_lib_node/impl/base_function_lib_node.py

@@ -11,11 +11,13 @@ import time
 from typing import Dict
 
 from django.db.models import QuerySet
+from django.utils.translation import gettext as _
 
 from application.flow.i_step_node import NodeResult
 from application.flow.step_node.function_lib_node.i_function_lib_node import IFunctionLibNode
 from common.exception.app_exception import AppApiException
 from common.util.function_code import FunctionExecutor
+from common.util.rsa_util import rsa_long_decrypt
 from function_lib.models.function import FunctionLib
 from smartdoc.const import CONFIG
 
@@ -38,15 +40,15 @@ def get_field_value(debug_field_list, name, is_required):
     if len(result) > 0:
         return result[-1]['value']
     if is_required:
-        raise AppApiException(500, f"{name}字段未设置值")
+        raise AppApiException(500, _('Field: {name} No value set').format(name=name))
     return None
 
 
 def valid_reference_value(_type, value, name):
     if _type == 'int':
-        instance_type = int
+        instance_type = int | float
     elif _type == 'float':
-        instance_type = float
+        instance_type = float | int
     elif _type == 'dict':
         instance_type = dict
     elif _type == 'array':
@@ -54,13 +56,16 @@ def valid_reference_value(_type, value, name):
     elif _type == 'string':
         instance_type = str
     else:
-        raise Exception(500, f'字段:{name}类型:{_type} 不支持的类型')
+        raise Exception(_('Field: {name} Type: {_type} Value: {value} Unsupported types').format(name=name,
+                                                                                                 _type=_type))
     if not isinstance(value, instance_type):
-        raise Exception(f'字段:{name}类型:{_type}值:{value}类型错误')
+        raise Exception(
+            _('Field: {name} Type: {_type} Value: {value} Type error').format(name=name, _type=_type,
+                                                                              value=value))
 
 
 def convert_value(name: str, value, _type, is_required, source, node):
-    if not is_required and value is None:
+    if not is_required and (value is None or (isinstance(value, str) and len(value) == 0)):
         return None
     if not is_required and source == 'reference' and (value is None or len(value) == 0):
         return None
@@ -69,6 +74,10 @@ def convert_value(name: str, value, _type, is_required, source, node):
             value[0],
             value[1:])
         valid_reference_value(_type, value, name)
+        if _type == 'int':
+            return int(value)
+        if _type == 'float':
+            return float(value)
         return value
     try:
         if _type == 'int':
@@ -79,26 +88,37 @@ def convert_value(name: str, value, _type, is_required, source, node):
             v = json.loads(value)
             if isinstance(v, dict):
                 return v
-            raise Exception("类型错误")
+            raise Exception(_('type error'))
         if _type == 'array':
             v = json.loads(value)
             if isinstance(v, list):
                 return v
-            raise Exception("类型错误")
+            raise Exception(_('type error'))
         return value
     except Exception as e:
-        raise Exception(f'字段:{name}类型:{_type}值:{value}类型错误')
+        raise Exception(
+            _('Field: {name} Type: {_type} Value: {value} Type error').format(name=name, _type=_type,
+                                                                              value=value))
+
+
+def valid_function(function_lib, user_id):
+    if function_lib is None:
+        raise Exception(_('Function does not exist'))
+    if function_lib.permission_type == 'PRIVATE' and str(function_lib.user_id) != str(user_id):
+        raise Exception(_('No permission to use this function {name}').format(name=function_lib.name))
+    if not function_lib.is_active:
+        raise Exception(_('Function {name} is unavailable').format(name=function_lib.name))
 
 
 class BaseFunctionLibNodeNode(IFunctionLibNode):
     def save_context(self, details, workflow_manage):
         self.context['result'] = details.get('result')
-        self.answer_text = details.get('result')
+        if self.node_params.get('is_result'):
+            self.answer_text = str(details.get('result'))
 
     def execute(self, function_lib_id, input_field_list, **kwargs) -> NodeResult:
         function_lib = QuerySet(FunctionLib).filter(id=function_lib_id).first()
-        if not function_lib.is_active:
-            raise Exception(f'函数:{function_lib.name}  不可用')
+        valid_function(function_lib, self.flow_params_serializer.data.get('user_id'))
         params = {field.get('name'): convert_value(field.get('name'), field.get('value'), field.get('type'),
                                                    field.get('is_required'),
                                                    field.get('source'), self)
@@ -107,8 +127,14 @@ class BaseFunctionLibNodeNode(IFunctionLibNode):
                                              ), **field}
                    for field in
                    function_lib.input_field_list]}
+
         self.context['params'] = params
-        result = function_executor.exec_code(function_lib.code, params)
+        # 合并初始化参数
+        if function_lib.init_params is not None:
+            all_params = json.loads(rsa_long_decrypt(function_lib.init_params)) | params
+        else:
+            all_params = params
+        result = function_executor.exec_code(function_lib.code, all_params)
         return NodeResult({'result': result}, {}, _write_context=write_context)
 
     def get_details(self, index: int, **kwargs):

apps/application/flow/step_node/function_node/i_function_node.py

@@ -16,32 +16,35 @@ from application.flow.i_step_node import INode, NodeResult
 from common.exception.app_exception import AppApiException
 from common.field.common import ObjectField
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
+from rest_framework.utils.formatting import lazy_format
 
 
 class InputField(serializers.Serializer):
-    name = serializers.CharField(required=True, error_messages=ErrMessage.char('变量名'))
-    is_required = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean("是否必填"))
-    type = serializers.CharField(required=True, error_messages=ErrMessage.char("类型"), validators=[
+    name = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Variable Name')))
+    is_required = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean(_("Is this field required")))
+    type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("type")), validators=[
         validators.RegexValidator(regex=re.compile("^string|int|dict|array|float$"),
-                                  message="字段只支持string|int|dict|array|float", code=500)
+                                  message=_("The field only supports string|int|dict|array|float"), code=500)
     ])
-    source = serializers.CharField(required=True, error_messages=ErrMessage.char("来源"), validators=[
+    source = serializers.CharField(required=True, error_messages=ErrMessage.char(_("source")), validators=[
         validators.RegexValidator(regex=re.compile("^custom|reference$"),
-                                  message="字段只支持custom|reference", code=500)
+                                  message=_("The field only supports custom|reference"), code=500)
     ])
-    value = ObjectField(required=True, error_messages=ErrMessage.char("变量值"), model_type_list=[str, list])
+    value = ObjectField(required=True, error_messages=ErrMessage.char(_("Variable Value")), model_type_list=[str, list])
 
     def is_valid(self, *, raise_exception=False):
         super().is_valid(raise_exception=True)
         is_required = self.data.get('is_required')
         if is_required and self.data.get('value') is None:
-            raise AppApiException(500, f'{self.data.get("name")}必填')
+            message = lazy_format(_('{field}, this field is required.'), field=self.data.get("name"))
+            raise AppApiException(500, message)
 
 
 class FunctionNodeParamsSerializer(serializers.Serializer):
     input_field_list = InputField(required=True, many=True)
-    code = serializers.CharField(required=True, error_messages=ErrMessage.char("函数"))
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
+    code = serializers.CharField(required=True, error_messages=ErrMessage.char(_("function")))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
 
     def is_valid(self, *, raise_exception=False):
         super().is_valid(raise_exception=True)

apps/application/flow/step_node/function_node/impl/base_function_node.py

@@ -33,9 +33,9 @@ def write_context(step_variable: Dict, global_variable: Dict, node, workflow):
 
 def valid_reference_value(_type, value, name):
     if _type == 'int':
-        instance_type = int
+        instance_type = int | float
     elif _type == 'float':
-        instance_type = float
+        instance_type = float | int
     elif _type == 'dict':
         instance_type = dict
     elif _type == 'array':
@@ -49,13 +49,17 @@ def valid_reference_value(_type, value, name):
 
 
 def convert_value(name: str, value, _type, is_required, source, node):
-    if not is_required and value is None:
+    if not is_required and (value is None or (isinstance(value, str) and len(value) == 0)):
         return None
     if source == 'reference':
         value = node.workflow_manage.get_reference_field(
             value[0],
             value[1:])
         valid_reference_value(_type, value, name)
+        if _type == 'int':
+            return int(value)
+        if _type == 'float':
+            return float(value)
         return value
     try:
         if _type == 'int':
@@ -80,7 +84,8 @@ def convert_value(name: str, value, _type, is_required, source, node):
 class BaseFunctionNodeNode(IFunctionNode):
     def save_context(self, details, workflow_manage):
         self.context['result'] = details.get('result')
-        self.answer_text = details.get('result')
+        if self.node_params.get('is_result', False):
+            self.answer_text = str(details.get('result'))
 
     def execute(self, input_field_list, code, **kwargs) -> NodeResult:
         params = {field.get('name'): convert_value(field.get('name'), field.get('value'), field.get('type'),

apps/application/flow/step_node/image_generate_step_node/i_image_generate_node.py

@@ -6,22 +6,27 @@ from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class ImageGenerateNodeSerializer(serializers.Serializer):
-    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
+    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
 
-    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词(正向)"))
+    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word (positive)")))
 
-    negative_prompt = serializers.CharField(required=False, error_messages=ErrMessage.char("提示词(负向)"), allow_null=True, allow_blank=True,)
+    negative_prompt = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Prompt word (negative)")),
+                                            allow_null=True, allow_blank=True, )
     # 多轮对话数量
-    dialogue_number = serializers.IntegerField(required=False, default=0, error_messages=ErrMessage.integer("多轮对话数量"))
+    dialogue_number = serializers.IntegerField(required=False, default=0,
+                                               error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
 
-    dialogue_type = serializers.CharField(required=False, default='NODE', error_messages=ErrMessage.char("对话存储类型"))
+    dialogue_type = serializers.CharField(required=False, default='NODE',
+                                          error_messages=ErrMessage.char(_("Conversation storage type")))
 
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
 
-    model_params_setting = serializers.JSONField(required=False, default=dict, error_messages=ErrMessage.json("模型参数设置"))
+    model_params_setting = serializers.JSONField(required=False, default=dict,
+                                                 error_messages=ErrMessage.json(_("Model parameter settings")))
 
 
 class IImageGenerateNode(INode):

apps/application/flow/step_node/image_generate_step_node/impl/base_image_generate_node.py

@@ -16,7 +16,8 @@ class BaseImageGenerateNode(IImageGenerateNode):
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
         self.context['question'] = details.get('question')
-        self.answer_text = details.get('answer')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
 
     def execute(self, model_id, prompt, negative_prompt, dialogue_number, dialogue_type, history_chat_record, chat_id,
                 model_params_setting,
@@ -24,7 +25,8 @@ class BaseImageGenerateNode(IImageGenerateNode):
                 **kwargs) -> NodeResult:
         print(model_params_setting)
         application = self.workflow_manage.work_flow_post_handler.chat_info.application
-        tti_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'), **model_params_setting)
+        tti_model = get_model_instance_by_model_user_id(model_id, self.flow_params_serializer.data.get('user_id'),
+                                                        **model_params_setting)
         history_message = self.get_history_message(history_chat_record, dialogue_number)
         self.context['history_message'] = history_message
         question = self.generate_prompt_question(prompt)
@@ -47,7 +49,7 @@ class BaseImageGenerateNode(IImageGenerateNode):
             file_url = FileSerializer(data={'file': file, 'meta': meta}).upload()
             file_urls.append(file_url)
         self.context['image_list'] = [{'file_id': path.split('/')[-1], 'url': path} for path in file_urls]
-        answer = '\n'.join([f"![Image]({path})" for path in file_urls])
+        answer = ' '.join([f"![Image]({path})" for path in file_urls])
         return NodeResult({'answer': answer, 'chat_model': tti_model, 'message_list': message_list,
                            'image': [{'file_id': path.split('/')[-1], 'url': path} for path in file_urls],
                            'history_message': history_message, 'question': question}, {})

apps/application/flow/step_node/image_understand_step_node/i_image_understand_node.py

@@ -6,24 +6,25 @@ from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class ImageUnderstandNodeSerializer(serializers.Serializer):
-    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
+    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
     system = serializers.CharField(required=False, allow_blank=True, allow_null=True,
-                                   error_messages=ErrMessage.char("角色设定"))
-    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
+                                   error_messages=ErrMessage.char(_("Role Setting")))
+    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
     # 多轮对话数量
-    dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
+    dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
 
-    dialogue_type = serializers.CharField(required=True, error_messages=ErrMessage.char("对话存储类型"))
+    dialogue_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Conversation storage type")))
 
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
 
-    image_list = serializers.ListField(required=False, error_messages=ErrMessage.list("图片"))
-
-    model_params_setting = serializers.JSONField(required=False, default=dict, error_messages=ErrMessage.json("模型参数设置"))
+    image_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("picture")))
 
+    model_params_setting = serializers.JSONField(required=False, default=dict,
+                                                 error_messages=ErrMessage.json(_("Model parameter settings")))
 
 
 class IImageUnderstandNode(INode):

apps/application/flow/step_node/image_understand_step_node/impl/base_image_understand_node.py

@@ -69,7 +69,8 @@ class BaseImageUnderstandNode(IImageUnderstandNode):
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
         self.context['question'] = details.get('question')
-        self.answer_text = details.get('answer')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
 
     def execute(self, model_id, system, prompt, dialogue_number, dialogue_type, history_chat_record, stream, chat_id,
                 model_params_setting,

apps/application/flow/step_node/mcp_node/__init__.py

@@ -0,0 +1,3 @@
+# coding=utf-8
+
+from .impl import *

apps/application/flow/step_node/mcp_node/i_mcp_node.py

@@ -0,0 +1,35 @@
+# coding=utf-8
+
+from typing import Type
+
+from rest_framework import serializers
+
+from application.flow.i_step_node import INode, NodeResult
+from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
+
+
+class McpNodeSerializer(serializers.Serializer):
+    mcp_servers = serializers.JSONField(required=True,
+                                        error_messages=ErrMessage.char(_("Mcp servers")))
+
+    mcp_server = serializers.CharField(required=True,
+                                       error_messages=ErrMessage.char(_("Mcp server")))
+
+    mcp_tool = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Mcp tool")))
+
+    tool_params = serializers.DictField(required=True,
+                                        error_messages=ErrMessage.char(_("Tool parameters")))
+
+
+class IMcpNode(INode):
+    type = 'mcp-node'
+
+    def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
+        return McpNodeSerializer
+
+    def _run(self):
+        return self.execute(**self.node_params_serializer.data, **self.flow_params_serializer.data)
+
+    def execute(self, mcp_servers, mcp_server, mcp_tool, tool_params, **kwargs) -> NodeResult:
+        pass

apps/application/flow/step_node/mcp_node/impl/__init__.py

@@ -0,0 +1,3 @@
+# coding=utf-8
+
+from .base_mcp_node import BaseMcpNode

apps/application/flow/step_node/mcp_node/impl/base_mcp_node.py

@@ -0,0 +1,61 @@
+# coding=utf-8
+import asyncio
+import json
+from typing import List
+
+from langchain_mcp_adapters.client import MultiServerMCPClient
+
+from application.flow.i_step_node import NodeResult
+from application.flow.step_node.mcp_node.i_mcp_node import IMcpNode
+
+
+class BaseMcpNode(IMcpNode):
+    def save_context(self, details, workflow_manage):
+        self.context['result'] = details.get('result')
+        self.context['tool_params'] = details.get('tool_params')
+        self.context['mcp_tool'] = details.get('mcp_tool')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('result')
+
+    def execute(self, mcp_servers, mcp_server, mcp_tool, tool_params, **kwargs) -> NodeResult:
+        servers = json.loads(mcp_servers)
+        params = json.loads(json.dumps(tool_params))
+        params = self.handle_variables(params)
+
+        async def call_tool(s, session, t, a):
+            async with MultiServerMCPClient(s) as client:
+                s = await client.sessions[session].call_tool(t, a)
+                return s
+
+        res = asyncio.run(call_tool(servers, mcp_server, mcp_tool, params))
+        return NodeResult(
+            {'result': [content.text for content in res.content], 'tool_params': params, 'mcp_tool': mcp_tool}, {})
+
+    def handle_variables(self, tool_params):
+        # 处理参数中的变量
+        for k, v in tool_params.items():
+            if type(v) == str:
+                tool_params[k] = self.workflow_manage.generate_prompt(tool_params[k])
+            if type(v) == dict:
+                self.handle_variables(v)
+            if (type(v) == list) and (type(v[0]) == str):
+                tool_params[k] = self.get_reference_content(v)
+        return tool_params
+
+    def get_reference_content(self, fields: List[str]):
+        return str(self.workflow_manage.get_reference_field(
+            fields[0],
+            fields[1:]))
+
+    def get_details(self, index: int, **kwargs):
+        return {
+            'name': self.node.properties.get('stepName'),
+            "index": index,
+            'run_time': self.context.get('run_time'),
+            'status': self.status,
+            'err_message': self.err_message,
+            'type': self.node.type,
+            'mcp_tool': self.context.get('mcp_tool'),
+            'tool_params': self.context.get('tool_params'),
+            'result': self.context.get('result'),
+        }

apps/application/flow/step_node/question_node/i_question_node.py

@@ -12,18 +12,19 @@ from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class QuestionNodeSerializer(serializers.Serializer):
-    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
+    model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
     system = serializers.CharField(required=False, allow_blank=True, allow_null=True,
-                                   error_messages=ErrMessage.char("角色设定"))
-    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
+                                   error_messages=ErrMessage.char(_("Role Setting")))
+    prompt = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
     # 多轮对话数量
-    dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer("多轮对话数量"))
+    dialogue_number = serializers.IntegerField(required=True, error_messages=ErrMessage.integer(_("Number of multi-round conversations")))
 
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
-    model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.integer("模型参数相关设置"))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
+    model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.integer(_("Model parameter settings")))
 
 
 class IQuestionNode(INode):

apps/application/flow/step_node/question_node/impl/base_question_node.py

@@ -6,6 +6,7 @@
     @date：2024/6/4 14:30
     @desc:
 """
+import re
 import time
 from functools import reduce
 from typing import List, Dict
@@ -79,7 +80,8 @@ class BaseQuestionNode(IQuestionNode):
         self.context['answer'] = details.get('answer')
         self.context['message_tokens'] = details.get('message_tokens')
         self.context['answer_tokens'] = details.get('answer_tokens')
-        self.answer_text = details.get('answer')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
 
     def execute(self, model_id, system, prompt, dialogue_number, history_chat_record, stream, chat_id, chat_record_id,
                 model_params_setting=None,
@@ -114,6 +116,9 @@ class BaseQuestionNode(IQuestionNode):
             [history_chat_record[index].get_human_message(), history_chat_record[index].get_ai_message()]
             for index in
             range(start_index if start_index > 0 else 0, len(history_chat_record))], [])
+        for message in history_message:
+            if isinstance(message.content, str):
+                message.content = re.sub('<form_rander>[\d\D]*?<\/form_rander>', '', message.content)
         return history_message
 
     def generate_prompt_question(self, prompt):

apps/application/flow/step_node/reranker_node/i_reranker_node.py

@@ -12,17 +12,18 @@ from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class RerankerSettingSerializer(serializers.Serializer):
     # 需要查询的条数
     top_n = serializers.IntegerField(required=True,
-                                     error_messages=ErrMessage.integer("引用分段数"))
+                                     error_messages=ErrMessage.integer(_("Reference segment number")))
     # 相似度 0-1之间
     similarity = serializers.FloatField(required=True, max_value=2, min_value=0,
-                                        error_messages=ErrMessage.float("引用分段数"))
+                                        error_messages=ErrMessage.float(_("Reference segment number")))
     max_paragraph_char_number = serializers.IntegerField(required=True,
-                                                         error_messages=ErrMessage.float("最大引用分段字数"))
+                                                         error_messages=ErrMessage.float(_("Maximum number of words in a quoted segment")))
 
 
 class RerankerStepNodeSerializer(serializers.Serializer):

apps/application/flow/step_node/reranker_node/impl/base_reranker_node.py

@@ -23,9 +23,14 @@ def merge_reranker_list(reranker_list, result=None):
             merge_reranker_list(document, result)
         elif isinstance(document, dict):
             content = document.get('title', '') + document.get('content', '')
-            result.append(str(document) if len(content) == 0 else content)
+            title = document.get("title")
+            dataset_name = document.get("dataset_name")
+            document_name = document.get('document_name')
+            result.append(
+                Document(page_content=str(document) if len(content) == 0 else content,
+                         metadata={'title': title, 'dataset_name': dataset_name, 'document_name': document_name}))
         else:
-            result.append(str(document))
+            result.append(Document(page_content=str(document), metadata={}))
     return result
 
 
@@ -43,6 +48,21 @@ def filter_result(document_list: List[Document], max_paragraph_char_number, top_
     return result
 
 
+def reset_result_list(result_list: List[Document], document_list: List[Document]):
+    r = []
+    document_list = document_list.copy()
+    for result in result_list:
+        filter_result_list = [document for document in document_list if document.page_content == result.page_content]
+        if len(filter_result_list) > 0:
+            item = filter_result_list[0]
+            document_list.remove(item)
+            r.append(Document(page_content=item.page_content,
+                              metadata={**item.metadata, 'relevance_score': result.metadata.get('relevance_score')}))
+        else:
+            r.append(result)
+    return r
+
+
 class BaseRerankerNode(IRerankerNode):
     def save_context(self, details, workflow_manage):
         self.context['document_list'] = details.get('document_list', [])
@@ -55,16 +75,18 @@ class BaseRerankerNode(IRerankerNode):
                 **kwargs) -> NodeResult:
         documents = merge_reranker_list(reranker_list)
         top_n = reranker_setting.get('top_n', 3)
-        self.context['document_list'] = documents
+        self.context['document_list'] = [{'page_content': document.page_content, 'metadata': document.metadata} for
+                                         document in documents]
         self.context['question'] = question
         reranker_model = get_model_instance_by_model_user_id(reranker_model_id,
                                                              self.flow_params_serializer.data.get('user_id'),
                                                              top_n=top_n)
         result = reranker_model.compress_documents(
-            [Document(page_content=document) for document in documents if document is not None and len(document) > 0],
+            documents,
             question)
         similarity = reranker_setting.get('similarity', 0.6)
         max_paragraph_char_number = reranker_setting.get('max_paragraph_char_number', 5000)
+        result = reset_result_list(result, documents)
         r = filter_result(result, max_paragraph_char_number, top_n, similarity)
         return NodeResult({'result_list': r, 'result': ''.join([item.get('page_content') for item in r])}, {})
 

apps/application/flow/step_node/search_dataset_node/i_search_dataset_node.py

@@ -15,30 +15,31 @@ from rest_framework import serializers
 from application.flow.i_step_node import INode, NodeResult
 from common.util.common import flat_map
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class DatasetSettingSerializer(serializers.Serializer):
     # 需要查询的条数
     top_n = serializers.IntegerField(required=True,
-                                     error_messages=ErrMessage.integer("引用分段数"))
+                                     error_messages=ErrMessage.integer(_("Reference segment number")))
     # 相似度 0-1之间
     similarity = serializers.FloatField(required=True, max_value=2, min_value=0,
-                                        error_messages=ErrMessage.float("引用分段数"))
+                                        error_messages=ErrMessage.float(_('similarity')))
     search_mode = serializers.CharField(required=True, validators=[
         validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
-                                  message="类型只支持register|reset_password", code=500)
-    ], error_messages=ErrMessage.char("检索模式"))
+                                  message=_("The type only supports embedding|keywords|blend"), code=500)
+    ], error_messages=ErrMessage.char(_("Retrieval Mode")))
     max_paragraph_char_number = serializers.IntegerField(required=True,
-                                                         error_messages=ErrMessage.float("最大引用分段字数"))
+                                                         error_messages=ErrMessage.float(_("Maximum number of words in a quoted segment")))
 
 
 class SearchDatasetStepNodeSerializer(serializers.Serializer):
     # 需要查询的数据集id列表
     dataset_id_list = serializers.ListField(required=True, child=serializers.UUIDField(required=True),
-                                            error_messages=ErrMessage.list("数据集id列表"))
+                                            error_messages=ErrMessage.list(_("Dataset id list")))
     dataset_setting = DatasetSettingSerializer(required=True)
 
-    question_reference_address = serializers.ListField(required=True, )
+    question_reference_address = serializers.ListField(required=True)
 
     def is_valid(self, *, raise_exception=False):
         super().is_valid(raise_exception=True)
@@ -65,7 +66,7 @@ class ISearchDatasetStepNode(INode):
         if self.flow_params_serializer.data.get('re_chat', False):
             history_chat_record = self.flow_params_serializer.data.get('history_chat_record', [])
             paragraph_id_list = [p.get('id') for p in flat_map(
-                [get_paragraph_list(chat_record, self.node.id) for chat_record in history_chat_record if
+                [get_paragraph_list(chat_record, self.runtime_node_id) for chat_record in history_chat_record if
                  chat_record.problem_text == question])]
             exclude_paragraph_id_list = list(set(paragraph_id_list))
 

apps/application/flow/step_node/search_dataset_node/impl/base_search_dataset_node.py

@@ -88,7 +88,7 @@ class BaseSearchDatasetNode(ISearchDatasetStepNode):
                            'is_hit_handling_method_list': [row for row in result if row.get('is_hit_handling_method')],
                            'data': '\n'.join(
                                [f"{reset_title(paragraph.get('title', ''))}{paragraph.get('content')}" for paragraph in
-                                paragraph_list])[0:dataset_setting.get('max_paragraph_char_number', 5000)],
+                                result])[0:dataset_setting.get('max_paragraph_char_number', 5000)],
                            'directly_return': '\n'.join(
                                [paragraph.get('content') for paragraph in
                                 result if

apps/application/flow/step_node/speech_to_text_step_node/i_speech_to_text_node.py

@@ -6,14 +6,15 @@ from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class SpeechToTextNodeSerializer(serializers.Serializer):
-    stt_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
+    stt_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
 
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
 
-    audio_list = serializers.ListField(required=True, error_messages=ErrMessage.list("音频文件不能为空", ))
+    audio_list = serializers.ListField(required=True, error_messages=ErrMessage.list(_("The audio file cannot be empty")))
 
 
 class ISpeechToTextNode(INode):
@@ -27,7 +28,7 @@ class ISpeechToTextNode(INode):
                                                        self.node_params_serializer.data.get('audio_list')[1:])
         for audio in res:
             if 'file_id' not in audio:
-                raise ValueError("参数值错误: 上传的音频中缺少file_id，音频上传失败")
+                raise ValueError(_("Parameter value error: The uploaded audio lacks file_id, and the audio upload fails"))
 
         return self.execute(audio=res, **self.node_params_serializer.data, **self.flow_params_serializer.data)
 

apps/application/flow/step_node/speech_to_text_step_node/impl/base_speech_to_text_node.py

@@ -18,7 +18,8 @@ class BaseSpeechToTextNode(ISpeechToTextNode):
 
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
-        self.answer_text = details.get('answer')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
 
     def execute(self, stt_model_id, chat_id, audio, **kwargs) -> NodeResult:
         stt_model = get_model_instance_by_model_user_id(stt_model_id, self.flow_params_serializer.data.get('user_id'))

apps/application/flow/step_node/start_node/impl/base_start_node.py

@@ -40,10 +40,13 @@ class BaseStartStepNode(IStarNode):
         self.context['document'] = details.get('document_list')
         self.context['image'] = details.get('image_list')
         self.context['audio'] = details.get('audio_list')
+        self.context['other'] = details.get('other_list')
         self.status = details.get('status')
         self.err_message = details.get('err_message')
         for key, value in workflow_variable.items():
             workflow_manage.context[key] = value
+        for item in details.get('global_fields', []):
+            workflow_manage.context[item.get('key')] = item.get('value')
 
     def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
         pass
@@ -59,7 +62,8 @@ class BaseStartStepNode(IStarNode):
             'question': question,
             'image': self.workflow_manage.image_list,
             'document': self.workflow_manage.document_list,
-            'audio': self.workflow_manage.audio_list
+            'audio': self.workflow_manage.audio_list,
+            'other': self.workflow_manage.other_list,
         }
         return NodeResult(node_variable, workflow_variable)
 
@@ -83,5 +87,6 @@ class BaseStartStepNode(IStarNode):
             'image_list': self.context.get('image'),
             'document_list': self.context.get('document'),
             'audio_list': self.context.get('audio'),
+            'other_list': self.context.get('other'),
             'global_fields': global_fields
         }

apps/application/flow/step_node/text_to_speech_step_node/i_text_to_speech_node.py

@@ -6,16 +6,17 @@ from rest_framework import serializers
 
 from application.flow.i_step_node import INode, NodeResult
 from common.util.field_message import ErrMessage
+from django.utils.translation import gettext_lazy as _
 
 
 class TextToSpeechNodeSerializer(serializers.Serializer):
-    tts_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char("模型id"))
+    tts_model_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Model id")))
 
-    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean('是否返回内容'))
+    is_result = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_('Whether to return content')))
 
-    content_list = serializers.ListField(required=True, error_messages=ErrMessage.list("文本内容"))
+    content_list = serializers.ListField(required=True, error_messages=ErrMessage.list(_("Text content")))
     model_params_setting = serializers.DictField(required=False,
-                                                 error_messages=ErrMessage.integer("模型参数相关设置"))
+                                                 error_messages=ErrMessage.integer(_("Model parameter settings")))
 
 
 class ITextToSpeechNode(INode):

apps/application/flow/step_node/text_to_speech_step_node/impl/base_text_to_speech_node.py

@@ -37,7 +37,8 @@ def bytes_to_uploaded_file(file_bytes, file_name="generated_audio.mp3"):
 class BaseTextToSpeechNode(ITextToSpeechNode):
     def save_context(self, details, workflow_manage):
         self.context['answer'] = details.get('answer')
-        self.answer_text = details.get('answer')
+        if self.node_params.get('is_result', False):
+            self.answer_text = details.get('answer')
 
     def execute(self, tts_model_id, chat_id,
                 content, model_params_setting=None,

apps/application/flow/step_node/variable_assign_node/__init__.py

@@ -0,0 +1,3 @@
+# coding=utf-8
+
+from .impl import *

apps/application/flow/step_node/variable_assign_node/i_variable_assign_node.py

@@ -0,0 +1,27 @@
+# coding=utf-8
+
+from typing import Type
+
+from django.utils.translation import gettext_lazy as _
+from rest_framework import serializers
+
+from application.flow.i_step_node import INode, NodeResult
+from common.util.field_message import ErrMessage
+
+
+class VariableAssignNodeParamsSerializer(serializers.Serializer):
+    variable_list = serializers.ListField(required=True,
+                                          error_messages=ErrMessage.list(_("Reference Field")))
+
+
+class IVariableAssignNode(INode):
+    type = 'variable-assign-node'
+
+    def get_node_params_serializer_class(self) -> Type[serializers.Serializer]:
+        return VariableAssignNodeParamsSerializer
+
+    def _run(self):
+        return self.execute(**self.node_params_serializer.data, **self.flow_params_serializer.data)
+
+    def execute(self, variable_list, stream, **kwargs) -> NodeResult:
+        pass

apps/application/flow/step_node/variable_assign_node/impl/__init__.py

@@ -0,0 +1,9 @@
+# coding=utf-8
+"""
+    @project: maxkb
+    @Author：虎
+    @file： __init__.py
+    @date：2024/6/11 17:49
+    @desc:
+"""
+from .base_variable_assign_node import *

apps/application/flow/step_node/variable_assign_node/impl/base_variable_assign_node.py

@@ -0,0 +1,65 @@
+# coding=utf-8
+import json
+from typing import List
+
+from application.flow.i_step_node import NodeResult
+from application.flow.step_node.variable_assign_node.i_variable_assign_node import IVariableAssignNode
+
+
+class BaseVariableAssignNode(IVariableAssignNode):
+    def save_context(self, details, workflow_manage):
+        self.context['variable_list'] = details.get('variable_list')
+        self.context['result_list'] = details.get('result_list')
+
+    def execute(self, variable_list, stream, **kwargs) -> NodeResult:
+        #
+        result_list = []
+        for variable in variable_list:
+            if 'fields' not in variable:
+                continue
+            if 'global' == variable['fields'][0]:
+                result = {
+                    'name': variable['name'],
+                    'input_value': self.get_reference_content(variable['fields']),
+                }
+                if variable['source'] == 'custom':
+                    if variable['type'] == 'json':
+                        if isinstance(variable['value'], dict) or isinstance(variable['value'], list):
+                            val = variable['value']
+                        else:
+                            val = json.loads(variable['value'])
+                        self.workflow_manage.context[variable['fields'][1]] = val
+                        result['output_value'] = variable['value'] = val
+                    elif variable['type'] == 'string':
+                        # 变量解析 例如：{{global.xxx}}
+                        val = self.workflow_manage.generate_prompt(variable['value'])
+                        self.workflow_manage.context[variable['fields'][1]] = val
+                        result['output_value'] = val
+                    else:
+                        val = variable['value']
+                        self.workflow_manage.context[variable['fields'][1]] = val
+                        result['output_value'] = val
+                else:
+                    reference = self.get_reference_content(variable['reference'])
+                    self.workflow_manage.context[variable['fields'][1]] = reference
+                    result['output_value'] = reference
+                result_list.append(result)
+
+        return NodeResult({'variable_list': variable_list, 'result_list': result_list}, {})
+
+    def get_reference_content(self, fields: List[str]):
+        return str(self.workflow_manage.get_reference_field(
+            fields[0],
+            fields[1:]))
+
+    def get_details(self, index: int, **kwargs):
+        return {
+            'name': self.node.properties.get('stepName'),
+            "index": index,
+            'run_time': self.context.get('run_time'),
+            'type': self.node.type,
+            'variable_list': self.context.get('variable_list'),
+            'result_list': self.context.get('result_list'),
+            'status': self.status,
+            'err_message': self.err_message
+        }

apps/application/flow/tools.py

@@ -16,6 +16,92 @@ from application.flow.i_step_node import WorkFlowPostHandler
 from common.response import result
 
 
+class Reasoning:
+    def __init__(self, reasoning_content_start, reasoning_content_end):
+        self.content = ""
+        self.reasoning_content = ""
+        self.all_content = ""
+        self.reasoning_content_start_tag = reasoning_content_start
+        self.reasoning_content_end_tag = reasoning_content_end
+        self.reasoning_content_start_tag_len = len(
+            reasoning_content_start) if reasoning_content_start is not None else 0
+        self.reasoning_content_end_tag_len = len(reasoning_content_end) if reasoning_content_end is not None else 0
+        self.reasoning_content_end_tag_prefix = reasoning_content_end[
+            0] if self.reasoning_content_end_tag_len > 0 else ''
+        self.reasoning_content_is_start = False
+        self.reasoning_content_is_end = False
+        self.reasoning_content_chunk = ""
+
+    def get_end_reasoning_content(self):
+        if not self.reasoning_content_is_start and not self.reasoning_content_is_end:
+            r = {'content': self.all_content, 'reasoning_content': ''}
+            self.reasoning_content_chunk = ""
+            return r
+        if self.reasoning_content_is_start and not self.reasoning_content_is_end:
+            r = {'content': '', 'reasoning_content': self.reasoning_content_chunk}
+            self.reasoning_content_chunk = ""
+            return r
+        return {'content': '', 'reasoning_content': ''}
+
+    def get_reasoning_content(self, chunk):
+        # 如果没有开始思考过程标签那么就全是结果
+        if self.reasoning_content_start_tag is None or len(self.reasoning_content_start_tag) == 0:
+            self.content += chunk.content
+            return {'content': chunk.content, 'reasoning_content': ''}
+        # 如果没有结束思考过程标签那么就全部是思考过程
+        if self.reasoning_content_end_tag is None or len(self.reasoning_content_end_tag) == 0:
+            return {'content': '', 'reasoning_content': chunk.content}
+        self.all_content += chunk.content
+        if not self.reasoning_content_is_start and len(self.all_content) >= self.reasoning_content_start_tag_len:
+            if self.all_content.startswith(self.reasoning_content_start_tag):
+                self.reasoning_content_is_start = True
+                self.reasoning_content_chunk = self.all_content[self.reasoning_content_start_tag_len:]
+            else:
+                if not self.reasoning_content_is_end:
+                    self.reasoning_content_is_end = True
+                    self.content += self.all_content
+                    return {'content': self.all_content, 'reasoning_content': ''}
+        else:
+            if self.reasoning_content_is_start:
+                self.reasoning_content_chunk += chunk.content
+        reasoning_content_end_tag_prefix_index = self.reasoning_content_chunk.find(
+            self.reasoning_content_end_tag_prefix)
+        if self.reasoning_content_is_end:
+            self.content += chunk.content
+            return {'content': chunk.content, 'reasoning_content': ''}
+        # 是否包含结束
+        if reasoning_content_end_tag_prefix_index > -1:
+            if len(self.reasoning_content_chunk) - reasoning_content_end_tag_prefix_index >= self.reasoning_content_end_tag_len:
+                reasoning_content_end_tag_index = self.reasoning_content_chunk.find(self.reasoning_content_end_tag)
+                if reasoning_content_end_tag_index > -1:
+                    reasoning_content_chunk = self.reasoning_content_chunk[0:reasoning_content_end_tag_index]
+                    content_chunk = self.reasoning_content_chunk[
+                                    reasoning_content_end_tag_index + self.reasoning_content_end_tag_len:]
+                    self.reasoning_content += reasoning_content_chunk
+                    self.content += content_chunk
+                    self.reasoning_content_chunk = ""
+                    self.reasoning_content_is_end = True
+                    return {'content': content_chunk, 'reasoning_content': reasoning_content_chunk}
+                else:
+                    reasoning_content_chunk = self.reasoning_content_chunk[0:reasoning_content_end_tag_prefix_index + 1]
+                    self.reasoning_content_chunk = self.reasoning_content_chunk.replace(reasoning_content_chunk, '')
+                    self.reasoning_content += reasoning_content_chunk
+                    return {'content': '', 'reasoning_content': reasoning_content_chunk}
+            else:
+                return {'content': '', 'reasoning_content': ''}
+
+        else:
+            if self.reasoning_content_is_end:
+                self.content += chunk.content
+                return {'content': chunk.content, 'reasoning_content': ''}
+            else:
+                # aaa
+                result = {'content': '', 'reasoning_content': self.reasoning_content_chunk}
+                self.reasoning_content += self.reasoning_content_chunk
+                self.reasoning_content_chunk = ""
+                return result
+
+
 def event_content(chat_id, chat_record_id, response, workflow,
                   write_context,
                   post_handler: WorkFlowPostHandler):

apps/application/flow/workflow_manage.py

@@ -16,12 +16,14 @@ from typing import List, Dict
 
 from django.db import close_old_connections
 from django.db.models import QuerySet
+from django.utils import translation
+from django.utils.translation import get_language
+from django.utils.translation import gettext as _
 from langchain_core.prompts import PromptTemplate
 from rest_framework import status
 from rest_framework.exceptions import ErrorDetail, ValidationError
 
 from application.flow import tools
-from application.flow.common import Answer
 from application.flow.i_step_node import INode, WorkFlowPostHandler, NodeResult
 from application.flow.step_node import get_node
 from common.exception.app_exception import AppApiException
@@ -102,12 +104,14 @@ class Flow:
                 edge_list = [edge for edge in self.edges if edge.sourceAnchorId == source_anchor_id]
                 if len(edge_list) == 0:
                     raise AppApiException(500,
-                                          f'{node.properties.get("stepName")} 节点的{branch.get("type")}分支需要连接')
+                                          _('The branch {branch} of the {node} node needs to be connected').format(
+                                              node=node.properties.get("stepName"), branch=branch.get("type")))
 
         else:
             edge_list = [edge for edge in self.edges if edge.sourceNodeId == node.id]
             if len(edge_list) == 0 and not end_nodes.__contains__(node.type):
-                raise AppApiException(500, f'{node.properties.get("stepName")} 节点不能当做结束节点')
+                raise AppApiException(500, _("{node} Nodes cannot be considered as end nodes").format(
+                    node=node.properties.get("stepName")))
 
     def get_next_nodes(self, node: Node):
         edge_list = [edge for edge in self.edges if edge.sourceNodeId == node.id]
@@ -116,7 +120,7 @@ class Flow:
                            [])
         if len(node_list) == 0 and not end_nodes.__contains__(node.type):
             raise AppApiException(500,
-                                  f'不存在的下一个节点')
+                                  _("The next node that does not exist"))
         return node_list
 
     def is_valid_work_flow(self, up_node=None):
@@ -130,16 +134,17 @@ class Flow:
     def is_valid_start_node(self):
         start_node_list = [node for node in self.nodes if node.id == 'start-node']
         if len(start_node_list) == 0:
-            raise AppApiException(500, '开始节点必填')
+            raise AppApiException(500, _('The starting node is required'))
         if len(start_node_list) > 1:
-            raise AppApiException(500, '开始节点只能有一个')
+            raise AppApiException(500, _('There can only be one starting node'))
 
     def is_valid_model_params(self):
         node_list = [node for node in self.nodes if (node.type == 'ai-chat-node' or node.type == 'question-node')]
         for node in node_list:
             model = QuerySet(Model).filter(id=node.properties.get('node_data', {}).get('model_id')).first()
             if model is None:
-                raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 模型不存在'))
+                raise ValidationError(ErrorDetail(
+                    _('The node {node} model does not exist').format(node=node.properties.get("stepName"))))
             credential = get_model_credential(model.provider, model.model_type, model.model_name)
             model_params_setting = node.properties.get('node_data', {}).get('model_params_setting')
             model_params_setting_form = credential.get_model_params_setting_form(
@@ -148,22 +153,25 @@ class Flow:
                 model_params_setting = model_params_setting_form.get_default_form_data()
                 node.properties.get('node_data', {})['model_params_setting'] = model_params_setting
             if node.properties.get('status', 200) != 200:
-                raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 不可用'))
+                raise ValidationError(
+                    ErrorDetail(_("Node {node} is unavailable").format(node.properties.get("stepName"))))
         node_list = [node for node in self.nodes if (node.type == 'function-lib-node')]
         for node in node_list:
             function_lib_id = node.properties.get('node_data', {}).get('function_lib_id')
             if function_lib_id is None:
-                raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 函数库id不能为空'))
+                raise ValidationError(ErrorDetail(
+                    _('The library ID of node {node} cannot be empty').format(node=node.properties.get("stepName"))))
             f_lib = QuerySet(FunctionLib).filter(id=function_lib_id).first()
             if f_lib is None:
-                raise ValidationError(ErrorDetail(f'节点{node.properties.get("stepName")} 函数库不可用'))
+                raise ValidationError(ErrorDetail(_("The function library for node {node} is not available").format(
+                    node=node.properties.get("stepName"))))
 
     def is_valid_base_node(self):
         base_node_list = [node for node in self.nodes if node.id == 'base-node']
         if len(base_node_list) == 0:
-            raise AppApiException(500, '基本信息节点必填')
+            raise AppApiException(500, _('Basic information node is required'))
         if len(base_node_list) > 1:
-            raise AppApiException(500, '基本信息节点只能有一个')
+            raise AppApiException(500, _('There can only be one basic information node'))
 
 
 class NodeResultFuture:
@@ -230,6 +238,7 @@ class WorkflowManage:
                  base_to_response: BaseToResponse = SystemToResponse(), form_data=None, image_list=None,
                  document_list=None,
                  audio_list=None,
+                 other_list=None,
                  start_node_id=None,
                  start_node_data=None, chat_record=None, child_node=None):
         if form_data is None:
@@ -240,12 +249,15 @@ class WorkflowManage:
             document_list = []
         if audio_list is None:
             audio_list = []
+        if other_list is None:
+            other_list = []
         self.start_node_id = start_node_id
         self.start_node = None
         self.form_data = form_data
         self.image_list = image_list
         self.document_list = document_list
         self.audio_list = audio_list
+        self.other_list = other_list
         self.params = params
         self.flow = flow
         self.context = {}
@@ -261,11 +273,36 @@ class WorkflowManage:
         self.child_node = child_node
         self.future_list = []
         self.lock = threading.Lock()
+        self.field_list = []
+        self.global_field_list = []
+        self.init_fields()
         if start_node_id is not None:
             self.load_node(chat_record, start_node_id, start_node_data)
         else:
             self.node_context = []
 
+    def init_fields(self):
+        field_list = []
+        global_field_list = []
+        for node in self.flow.nodes:
+            properties = node.properties
+            node_name = properties.get('stepName')
+            node_id = node.id
+            node_config = properties.get('config')
+            if node_config is not None:
+                fields = node_config.get('fields')
+                if fields is not None:
+                    for field in fields:
+                        field_list.append({**field, 'node_id': node_id, 'node_name': node_name})
+                global_fields = node_config.get('globalFields')
+                if global_fields is not None:
+                    for global_field in global_fields:
+                        global_field_list.append({**global_field, 'node_id': node_id, 'node_name': node_name})
+        field_list.sort(key=lambda f: len(f.get('node_name')), reverse=True)
+        global_field_list.sort(key=lambda f: len(f.get('node_name')), reverse=True)
+        self.field_list = field_list
+        self.global_field_list = global_field_list
+
     def append_answer(self, content):
         self.answer += content
         self.answer_list[-1] += content
@@ -302,20 +339,22 @@ class WorkflowManage:
             node = self.get_node_cls_by_id(node_id, node_details.get('up_node_id_list'))
             node.valid_args(node.node_params, node.workflow_params)
             node.save_context(node_details, self)
+            node.node_chunk.end()
             self.node_context.append(node)
 
     def run(self):
         close_old_connections()
+        language = get_language()
         if self.params.get('stream'):
-            return self.run_stream(self.start_node, None)
-        return self.run_block()
+            return self.run_stream(self.start_node, None, language)
+        return self.run_block(language)
 
-    def run_block(self):
+    def run_block(self, language='zh'):
         """
         非流式响应
         @return: 结果
         """
-        self.run_chain_async(None, None)
+        self.run_chain_async(None, None, language)
         while self.is_run():
             pass
         details = self.get_runtime_details()
@@ -324,32 +363,40 @@ class WorkflowManage:
         answer_tokens = sum([row.get('answer_tokens') for row in details.values() if
                              'answer_tokens' in row and row.get('answer_tokens') is not None])
         answer_text_list = self.get_answer_text_list()
-        answer_text = '\n\n'.join(answer['content'] for answer in answer_text_list)
+        answer_text = '\n\n'.join(
+            '\n\n'.join([a.get('content') for a in answer]) for answer in
+            answer_text_list)
+        answer_list = reduce(lambda pre, _n: [*pre, *_n], answer_text_list, [])
         self.work_flow_post_handler.handler(self.params['chat_id'], self.params['chat_record_id'],
                                             answer_text,
                                             self)
         return self.base_to_response.to_block_response(self.params['chat_id'],
                                                        self.params['chat_record_id'], answer_text, True
                                                        , message_tokens, answer_tokens,
-                                                       _status=status.HTTP_200_OK if self.status == 200 else status.HTTP_500_INTERNAL_SERVER_ERROR)
+                                                       _status=status.HTTP_200_OK if self.status == 200 else status.HTTP_500_INTERNAL_SERVER_ERROR,
+                                                       other_params={'answer_list': answer_list})
 
-    def run_stream(self, current_node, node_result_future):
+    def run_stream(self, current_node, node_result_future, language='zh'):
         """
         流式响应
         @return:
         """
-        self.run_chain_async(current_node, node_result_future)
+        self.run_chain_async(current_node, node_result_future, language)
         return tools.to_stream_response_simple(self.await_result())
 
-    def is_run(self, timeout=0.1):
-        self.lock.acquire()
+    def is_run(self, timeout=0.5):
+        future_list_len = len(self.future_list)
         try:
             r = concurrent.futures.wait(self.future_list, timeout)
-            return len(r.not_done) > 0
+            if len(r.not_done) > 0:
+                return True
+            else:
+                if future_list_len == len(self.future_list):
+                    return False
+                else:
+                    return True
         except Exception as e:
             return True
-        finally:
-            self.lock.release()
 
     def await_result(self):
         try:
@@ -366,6 +413,8 @@ class WorkflowManage:
                     break
                 yield chunk
         finally:
+            while self.is_run():
+                pass
             details = self.get_runtime_details()
             message_tokens = sum([row.get('message_tokens') for row in details.values() if
                                   'message_tokens' in row and row.get('message_tokens') is not None])
@@ -380,11 +429,12 @@ class WorkflowManage:
                                                                  [],
                                                                  '', True, message_tokens, answer_tokens, {})
 
-    def run_chain_async(self, current_node, node_result_future):
-        future = executor.submit(self.run_chain_manage, current_node, node_result_future)
+    def run_chain_async(self, current_node, node_result_future, language='zh'):
+        future = executor.submit(self.run_chain_manage, current_node, node_result_future, language)
         self.future_list.append(future)
 
-    def run_chain_manage(self, current_node, node_result_future):
+    def run_chain_manage(self, current_node, node_result_future, language='zh'):
+        translation.activate(language)
         if current_node is None:
             start_node = self.get_start_node()
             current_node = get_node(start_node.type)(start_node, self.params, self)
@@ -396,18 +446,15 @@ class WorkflowManage:
             return
         node_list = self.get_next_node_list(current_node, result)
         if len(node_list) == 1:
-            self.run_chain_manage(node_list[0], None)
+            self.run_chain_manage(node_list[0], None, language)
         elif len(node_list) > 1:
             sorted_node_run_list = sorted(node_list, key=lambda n: n.node.y)
             # 获取到可执行的子节点
-            result_list = [{'node': node, 'future': executor.submit(self.run_chain_manage, node, None)} for node in
+            result_list = [{'node': node, 'future': executor.submit(self.run_chain_manage, node, None, language)} for
+                           node in
                            sorted_node_run_list]
-            try:
-                self.lock.acquire()
-                for r in result_list:
-                    self.future_list.append(r.get('future'))
-            finally:
-                self.lock.release()
+            for r in result_list:
+                self.future_list.append(r.get('future'))
 
     def run_chain(self, current_node, node_result_future=None):
         if node_result_future is None:
@@ -447,6 +494,7 @@ class WorkflowManage:
         self.node_context.append(current_node)
 
     def hand_event_node_result(self, current_node, node_result_future):
+        runtime_node_id = current_node.runtime_node_id
         real_node_id = current_node.runtime_node_id
         child_node = {}
         view_type = current_node.view_type
@@ -456,6 +504,7 @@ class WorkflowManage:
             if result is not None:
                 if self.is_result(current_node, current_result):
                     for r in result:
+                        reasoning_content = ''
                         content = r
                         child_node = {}
                         node_is_end = False
@@ -465,20 +514,24 @@ class WorkflowManage:
                             child_node = {'runtime_node_id': r.get('runtime_node_id'),
                                           'chat_record_id': r.get('chat_record_id')
                                 , 'child_node': r.get('child_node')}
-                            real_node_id = r.get('real_node_id')
-                            node_is_end = r.get('node_is_end')
+                            if r.__contains__('real_node_id'):
+                                real_node_id = r.get('real_node_id')
+                            if r.__contains__('node_is_end'):
+                                node_is_end = r.get('node_is_end')
                             view_type = r.get('view_type')
+                            reasoning_content = r.get('reasoning_content')
                         chunk = self.base_to_response.to_stream_chunk_response(self.params['chat_id'],
                                                                                self.params['chat_record_id'],
                                                                                current_node.id,
                                                                                current_node.up_node_id_list,
                                                                                content, False, 0, 0,
                                                                                {'node_type': current_node.type,
-                                                                                'runtime_node_id': current_node.runtime_node_id,
+                                                                                'runtime_node_id': runtime_node_id,
                                                                                 'view_type': view_type,
                                                                                 'child_node': child_node,
                                                                                 'node_is_end': node_is_end,
-                                                                                'real_node_id': real_node_id})
+                                                                                'real_node_id': real_node_id,
+                                                                                'reasoning_content': reasoning_content})
                         current_node.node_chunk.add_chunk(chunk)
                     chunk = (self.base_to_response
                              .to_stream_chunk_response(self.params['chat_id'],
@@ -486,11 +539,12 @@ class WorkflowManage:
                                                        current_node.id,
                                                        current_node.up_node_id_list,
                                                        '', False, 0, 0, {'node_is_end': True,
-                                                                         'runtime_node_id': current_node.runtime_node_id,
+                                                                         'runtime_node_id': runtime_node_id,
                                                                          'node_type': current_node.type,
                                                                          'view_type': view_type,
                                                                          'child_node': child_node,
-                                                                         'real_node_id': real_node_id}))
+                                                                         'real_node_id': real_node_id,
+                                                                         'reasoning_content': ''}))
                     current_node.node_chunk.add_chunk(chunk)
                 else:
                     list(result)
@@ -502,7 +556,7 @@ class WorkflowManage:
                                                                    self.params['chat_record_id'],
                                                                    current_node.id,
                                                                    current_node.up_node_id_list,
-                                                                   str(e), False, 0, 0,
+                                                                   'Exception:' + str(e), False, 0, 0,
                                                                    {'node_is_end': True,
                                                                     'runtime_node_id': current_node.runtime_node_id,
                                                                     'node_type': current_node.type,
@@ -589,20 +643,19 @@ class WorkflowManage:
             if len(current_answer.content) > 0:
                 if up_node is None or current_answer.view_type == 'single_view' or (
                         current_answer.view_type == 'many_view' and up_node.view_type == 'single_view'):
-                    result.append(current_answer)
+                    result.append([current_answer])
                 else:
                     if len(result) > 0:
                         exec_index = len(result) - 1
-                        content = result[exec_index].content
-                        result[exec_index].content += current_answer.content if len(
-                            content) == 0 else ('\n\n' + current_answer.content)
+                        if isinstance(result[exec_index], list):
+                            result[exec_index].append(current_answer)
                     else:
-                        result.insert(0, current_answer)
+                        result.insert(0, [current_answer])
                 up_node = current_answer
         if len(result) == 0:
             # 如果没有响应 就响应一个空数据
-            return [Answer('', '', '', '', {}).to_dict()]
-        return [r.to_dict() for r in result]
+            return [[]]
+        return [[item.to_dict() for item in r] for r in result]
 
     def get_next_node(self):
         """
@@ -664,9 +717,18 @@ class WorkflowManage:
             for edge in self.flow.edges:
                 if (edge.sourceNodeId == current_node.id and
                         f"{edge.sourceNodeId}_{current_node_result.node_variable.get('branch_id')}_right" == edge.sourceAnchorId):
-                    if self.dependent_node_been_executed(edge.targetNodeId):
+                    next_node = [node for node in self.flow.nodes if node.id == edge.targetNodeId]
+                    if len(next_node) == 0:
+                        continue
+                    if next_node[0].properties.get('condition', "AND") == 'AND':
+                        if self.dependent_node_been_executed(edge.targetNodeId):
+                            node_list.append(
+                                self.get_node_cls_by_id(edge.targetNodeId,
+                                                        [*current_node.up_node_id_list, current_node.node.id]))
+                    else:
                         node_list.append(
-                            self.get_node_cls_by_id(edge.targetNodeId, self.get_up_node_id_list(edge.targetNodeId)))
+                            self.get_node_cls_by_id(edge.targetNodeId,
+                                                    [*current_node.up_node_id_list, current_node.node.id]))
         else:
             for edge in self.flow.edges:
                 if edge.sourceNodeId == current_node.id:
@@ -676,10 +738,12 @@ class WorkflowManage:
                     if next_node[0].properties.get('condition', "AND") == 'AND':
                         if self.dependent_node_been_executed(edge.targetNodeId):
                             node_list.append(
-                                self.get_node_cls_by_id(edge.targetNodeId, self.get_up_node_id_list(edge.targetNodeId)))
+                                self.get_node_cls_by_id(edge.targetNodeId,
+                                                        [*current_node.up_node_id_list, current_node.node.id]))
                     else:
                         node_list.append(
-                            self.get_node_cls_by_id(edge.targetNodeId, [current_node.node.id]))
+                            self.get_node_cls_by_id(edge.targetNodeId,
+                                                    [*current_node.up_node_id_list, current_node.node.id]))
         return node_list
 
     def get_reference_field(self, node_id: str, fields: List[str]):
@@ -704,22 +768,15 @@ class WorkflowManage:
 
     def reset_prompt(self, prompt: str):
         placeholder = "{}"
-        for node in self.flow.nodes:
-            properties = node.properties
-            node_config = properties.get('config')
-            if node_config is not None:
-                fields = node_config.get('fields')
-                if fields is not None:
-                    for field in fields:
-                        globeLabel = f"{properties.get('stepName')}.{field.get('value')}"
-                        globeValue = f"context.get('{node.id}',{placeholder}).get('{field.get('value', '')}','')"
-                        prompt = prompt.replace(globeLabel, globeValue)
-                global_fields = node_config.get('globalFields')
-                if global_fields is not None:
-                    for field in global_fields:
-                        globeLabel = f"全局变量.{field.get('value')}"
-                        globeValue = f"context.get('global').get('{field.get('value', '')}','')"
-                        prompt = prompt.replace(globeLabel, globeValue)
+        for field in self.field_list:
+            globeLabel = f"{field.get('node_name')}.{field.get('value')}"
+            globeValue = f"context.get('{field.get('node_id')}',{placeholder}).get('{field.get('value', '')}','')"
+            prompt = prompt.replace(globeLabel, globeValue)
+        for field in self.global_field_list:
+            globeLabel = f"全局变量.{field.get('value')}"
+            globeLabelNew = f"global.{field.get('value')}"
+            globeValue = f"context.get('global').get('{field.get('value', '')}','')"
+            prompt = prompt.replace(globeLabel, globeValue).replace(globeLabelNew, globeValue)
         return prompt
 
     def generate_prompt(self, prompt: str):

apps/application/migrations/0010_alter_chatrecord_details.py

@@ -1,11 +1,11 @@
 # Generated by Django 4.2.13 on 2024-07-15 15:52
 
-import application.models.application
 from django.db import migrations, models
 
+import common.encoder.encoder
+
 
 class Migration(migrations.Migration):
-
     dependencies = [
         ('application', '0009_application_type_application_work_flow_and_more'),
     ]
@@ -14,6 +14,6 @@ class Migration(migrations.Migration):
         migrations.AlterField(
             model_name='chatrecord',
             name='details',
-            field=models.JSONField(default=dict, encoder=application.models.application.DateEncoder, verbose_name='对话详情'),
+            field=models.JSONField(default=dict, encoder=common.encoder.encoder.SystemEncoder, verbose_name='对话详情'),
         ),
     ]

apps/application/migrations/0022_application_tts_autoplay.py

@@ -0,0 +1,18 @@
+# Generated by Django 4.2.15 on 2025-01-03 14:07
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('application', '0021_applicationpublicaccessclient_client_id_and_more'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='application',
+            name='tts_autoplay',
+            field=models.BooleanField(default=False, verbose_name='自动播放'),
+        ),
+    ]

apps/application/migrations/0023_application_stt_autosend.py

@@ -0,0 +1,18 @@
+# Generated by Django 4.2.15 on 2025-01-06 10:37
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('application', '0022_application_tts_autoplay'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='application',
+            name='stt_autosend',
+            field=models.BooleanField(default=False, verbose_name='自动发送'),
+        ),
+    ]

apps/application/migrations/0024_applicationaccesstoken_language.py

@@ -0,0 +1,17 @@
+# Generated by Django 4.2.15 on 2025-01-20 06:59
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+    dependencies = [
+        ('application', '0023_application_stt_autosend'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='applicationaccesstoken',
+            name='language',
+            field=models.CharField(default=None, max_length=10, null=True, verbose_name='语言')
+        ),
+    ]

apps/application/migrations/0025_alter_application_prologue.py

@@ -0,0 +1,18 @@
+# Generated by Django 4.2.18 on 2025-01-22 09:53
+
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('application', '0024_applicationaccesstoken_language'),
+    ]
+
+    operations = [
+        migrations.AlterField(
+            model_name='application',
+            name='prologue',
+            field=models.CharField(default='', max_length=40960, verbose_name='开场白'),
+        ),
+    ]

apps/application/migrations/0026_chat_asker.py

@@ -0,0 +1,20 @@
+# Generated by Django 4.2.18 on 2025-03-18 06:05
+
+import application.models.application
+import common.encoder.encoder
+from django.db import migrations, models
+
+
+class Migration(migrations.Migration):
+
+    dependencies = [
+        ('application', '0025_alter_application_prologue'),
+    ]
+
+    operations = [
+        migrations.AddField(
+            model_name='chat',
+            name='asker',
+            field=models.JSONField(default=application.models.application.default_asker, encoder=common.encoder.encoder.SystemEncoder, verbose_name='访问者'),
+        ),
+    ]

apps/application/models/api_key_model.py

@@ -13,9 +13,14 @@ from django.db import models
 
 from application.models import Application
 from common.mixins.app_model_mixin import AppModelMixin
+from smartdoc.const import CONFIG
 from users.models import User
 
 
+def get_language():
+    return CONFIG.get_language_code()
+
+
 class ApplicationApiKey(AppModelMixin):
     id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
     secret_key = models.CharField(max_length=1024, verbose_name="秘钥", unique=True)
@@ -45,6 +50,8 @@ class ApplicationAccessToken(AppModelMixin):
                             , default=list)
     show_source = models.BooleanField(default=False, verbose_name="是否显示知识来源")
 
+    language = models.CharField(max_length=10, verbose_name="语言", default=None, null=True)
+
     class Meta:
         db_table = "application_access_token"
 

apps/application/models/application.py

@@ -6,14 +6,13 @@
     @date：2023/9/25 14:24
     @desc:
 """
-import datetime
-import json
 import uuid
 
 from django.contrib.postgres.fields import ArrayField
 from django.db import models
 from langchain.schema import HumanMessage, AIMessage
-
+from django.utils.translation import gettext as _
+from common.encoder.encoder import SystemEncoder
 from common.mixins.app_model_mixin import AppModelMixin
 from dataset.models.data_set import DataSet
 from setting.models.model_management import Model
@@ -35,14 +34,20 @@ def get_dataset_setting_dict():
 
 
 def get_model_setting_dict():
-    return {'prompt': Application.get_default_model_prompt(), 'no_references_prompt': '{question}'}
+    return {
+        'prompt': Application.get_default_model_prompt(),
+        'no_references_prompt': '{question}',
+        'reasoning_content_start': '<think>',
+        'reasoning_content_end': '</think>',
+        'reasoning_content_enable': False,
+    }
 
 
 class Application(AppModelMixin):
     id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
     name = models.CharField(max_length=128, verbose_name="应用名称")
     desc = models.CharField(max_length=512, verbose_name="引用描述", default="")
-    prologue = models.CharField(max_length=4096, verbose_name="开场白", default="")
+    prologue = models.CharField(max_length=40960, verbose_name="开场白", default="")
     dialogue_number = models.IntegerField(default=0, verbose_name="会话数量")
     user = models.ForeignKey(User, on_delete=models.DO_NOTHING)
     model = models.ForeignKey(Model, on_delete=models.SET_NULL, db_constraint=False, blank=True, null=True)
@@ -65,6 +70,8 @@ class Application(AppModelMixin):
     tts_model_enable = models.BooleanField(verbose_name="语音合成模型是否启用", default=False)
     stt_model_enable = models.BooleanField(verbose_name="语音识别模型是否启用", default=False)
     tts_type = models.CharField(verbose_name="语音播放类型", max_length=20, default="BROWSER")
+    tts_autoplay = models.BooleanField(verbose_name="自动播放", default=False)
+    stt_autosend = models.BooleanField(verbose_name="自动发送", default=False)
     clean_time = models.IntegerField(verbose_name="清理时间", default=180)
     file_upload_enable = models.BooleanField(verbose_name="文件上传是否启用", default=False)
     file_upload_setting = models.JSONField(verbose_name="文件上传相关设置", default=dict)
@@ -108,10 +115,15 @@ class ApplicationDatasetMapping(AppModelMixin):
         db_table = "application_dataset_mapping"
 
 
+def default_asker():
+    return {'user_name': '游客'}
+
+
 class Chat(AppModelMixin):
     id = models.UUIDField(primary_key=True, max_length=128, default=uuid.uuid1, editable=False, verbose_name="主键id")
     application = models.ForeignKey(Application, on_delete=models.CASCADE)
     abstract = models.CharField(max_length=1024, verbose_name="摘要")
+    asker = models.JSONField(verbose_name="访问者", default=default_asker, encoder=SystemEncoder)
     client_id = models.UUIDField(verbose_name="客户端id", default=None, null=True)
     is_deleted = models.BooleanField(verbose_name="", default=False)
 
@@ -126,16 +138,6 @@ class VoteChoices(models.TextChoices):
     TRAMPLE = 1, '反对'
 
 
-class DateEncoder(json.JSONEncoder):
-    def default(self, obj):
-        if isinstance(obj, uuid.UUID):
-            return str(obj)
-        if isinstance(obj, datetime.datetime):
-            return obj.strftime("%Y-%m-%d %H:%M:%S")
-        else:
-            return json.JSONEncoder.default(self, obj)
-
-
 class ChatRecord(AppModelMixin):
     """
     对话日志 详情
@@ -152,7 +154,7 @@ class ChatRecord(AppModelMixin):
     message_tokens = models.IntegerField(verbose_name="请求token数量", default=0)
     answer_tokens = models.IntegerField(verbose_name="响应token数量", default=0)
     const = models.IntegerField(verbose_name="总费用", default=0)
-    details = models.JSONField(verbose_name="对话详情", default=dict, encoder=DateEncoder)
+    details = models.JSONField(verbose_name="对话详情", default=dict, encoder=SystemEncoder)
     improve_paragraph_id_list = ArrayField(verbose_name="改进标注列表",
                                            base_field=models.UUIDField(max_length=128, blank=True)
                                            , default=list)
@@ -165,7 +167,11 @@ class ChatRecord(AppModelMixin):
         return HumanMessage(content=self.problem_text)
 
     def get_ai_message(self):
-        return AIMessage(content=self.answer_text)
+        answer_text = self.answer_text
+        if answer_text is None or len(str(answer_text).strip()) == 0:
+            answer_text = _(
+                'Sorry, no relevant content was found. Please re-describe your problem or provide more information. ')
+        return AIMessage(content=answer_text)
 
     def get_node_details_runtime_node_id(self, runtime_node_id):
         return self.details.get(runtime_node_id, None)

apps/application/serializers/application_serializers.py

@@ -6,6 +6,7 @@
     @date：2023/11/7 10:02
     @desc:
 """
+import asyncio
 import datetime
 import hashlib
 import json
@@ -15,7 +16,6 @@ import re
 import uuid
 from functools import reduce
 from typing import Dict, List
-
 from django.contrib.postgres.fields import ArrayField
 from django.core import cache, validators
 from django.core import signing
@@ -24,7 +24,10 @@ from django.db.models import QuerySet
 from django.db.models.expressions import RawSQL
 from django.http import HttpResponse
 from django.template import Template, Context
+from langchain_mcp_adapters.client import MultiServerMCPClient
+from mcp.client.sse import sse_client
 from rest_framework import serializers, status
+from rest_framework.utils.formatting import lazy_format
 
 from application.flow.workflow_manage import Flow
 from application.models import Application, ApplicationDatasetMapping, ApplicationTypeChoices, WorkFlowVersion
@@ -35,17 +38,17 @@ from common.config.embedding_config import VectorStore
 from common.constants.authentication_type import AuthenticationType
 from common.db.search import get_dynamics_model, native_search, native_page_search
 from common.db.sql_execute import select_list
-from common.exception.app_exception import AppApiException, NotFound404, AppUnauthorizedFailed
+from common.exception.app_exception import AppApiException, NotFound404, AppUnauthorizedFailed, ChatException
 from common.field.common import UploadedImageField, UploadedFileField
 from common.models.db_model_manage import DBModelManage
 from common.response import result
-from common.util.common import valid_license, password_encrypt
+from common.util.common import valid_license, password_encrypt, restricted_loads
 from common.util.field_message import ErrMessage
 from common.util.file_util import get_file_content
 from dataset.models import DataSet, Document, Image
 from dataset.serializers.common_serializers import list_paragraph, get_embedding_model_by_dataset_id_list
 from embedding.models import SearchMode
-from function_lib.models.function import FunctionLib, PermissionType
+from function_lib.models.function import FunctionLib, PermissionType, FunctionType
 from function_lib.serializers.function_lib_serializer import FunctionLibSerializer, FunctionLibModelSerializer
 from setting.models import AuthOperate, TeamMemberPermission
 from setting.models.model_management import Model
@@ -54,13 +57,13 @@ from setting.models_provider.tools import get_model_instance_by_model_user_id
 from setting.serializers.provider_serializers import ModelSerializer
 from smartdoc.conf import PROJECT_DIR
 from users.models import User
-from django.db.models import Value
-from django.db.models.fields.json import KeyTextTransform
+from django.utils.translation import gettext_lazy as _, get_language, to_locale
 
 chat_cache = cache.caches['chat_cache']
 
 
 class MKInstance:
+
     def __init__(self, application: dict, function_lib_list: List[dict], version: str):
         self.application = application
         self.function_lib_list = function_lib_list
@@ -68,13 +71,13 @@ class MKInstance:
 
 
 class ModelDatasetAssociation(serializers.Serializer):
-    user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+    user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
     model_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
-                                     error_messages=ErrMessage.char("模型id"))
+                                     error_messages=ErrMessage.char(_("Model id")))
     dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True,
                                                                                              error_messages=ErrMessage.uuid(
-                                                                                                 "知识库id")),
-                                                 error_messages=ErrMessage.list("知识库列表"))
+                                                                                                 _("Knowledge base id"))),
+                                                 error_messages=ErrMessage.list(_("Knowledge Base List")))
 
     def is_valid(self, *, raise_exception=True):
         super().is_valid(raise_exception=True)
@@ -82,13 +85,13 @@ class ModelDatasetAssociation(serializers.Serializer):
         user_id = self.data.get('user_id')
         if model_id is not None and len(model_id) > 0:
             if not QuerySet(Model).filter(id=model_id).exists():
-                raise AppApiException(500, f'模型不存在【{model_id}】')
+                raise AppApiException(500, f'{_("Model does not exist")}【{model_id}】')
         dataset_id_list = list(set(self.data.get('dataset_id_list')))
         exist_dataset_id_list = [str(dataset.id) for dataset in
                                  QuerySet(DataSet).filter(id__in=dataset_id_list, user_id=user_id)]
         for dataset_id in dataset_id_list:
             if not exist_dataset_id_list.__contains__(dataset_id):
-                raise AppApiException(500, f'知识库id不存在【{dataset_id}】')
+                raise AppApiException(500, f'{_("The knowledge base id does not exist")}【{dataset_id}】')
 
 
 class ApplicationSerializerModel(serializers.ModelSerializer):
@@ -105,8 +108,8 @@ class NoReferencesChoices(models.TextChoices):
 
 class NoReferencesSetting(serializers.Serializer):
     status = serializers.ChoiceField(required=True, choices=NoReferencesChoices.choices,
-                                     error_messages=ErrMessage.char("无引用状态"))
-    value = serializers.CharField(required=True, error_messages=ErrMessage.char("提示词"))
+                                     error_messages=ErrMessage.char(_("No reference status")))
+    value = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Prompt word")))
 
 
 def valid_model_params_setting(model_id, model_params_setting):
@@ -118,45 +121,64 @@ def valid_model_params_setting(model_id, model_params_setting):
 
 
 class DatasetSettingSerializer(serializers.Serializer):
-    top_n = serializers.FloatField(required=True, max_value=100, min_value=1,
-                                   error_messages=ErrMessage.float("引用分段数"))
+    top_n = serializers.FloatField(required=True, max_value=10000, min_value=1,
+                                   error_messages=ErrMessage.float(_("Reference segment number")))
     similarity = serializers.FloatField(required=True, max_value=1, min_value=0,
-                                        error_messages=ErrMessage.float("相识度"))
+                                        error_messages=ErrMessage.float(_("Acquaintance")))
     max_paragraph_char_number = serializers.IntegerField(required=True, min_value=500, max_value=100000,
-                                                         error_messages=ErrMessage.integer("最多引用字符数"))
+                                                         error_messages=ErrMessage.integer(
+                                                             _("Maximum number of quoted characters")))
     search_mode = serializers.CharField(required=True, validators=[
         validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
-                                  message="类型只支持register|reset_password", code=500)
-    ], error_messages=ErrMessage.char("检索模式"))
+                                  message=_("The type only supports embedding|keywords|blend"), code=500)
+    ], error_messages=ErrMessage.char(_("Retrieval Mode")))
 
-    no_references_setting = NoReferencesSetting(required=True, error_messages=ErrMessage.base("未引用分段设置"))
+    no_references_setting = NoReferencesSetting(required=True,
+                                                error_messages=ErrMessage.base(_("Segment settings not referenced")))
 
 
 class ModelSettingSerializer(serializers.Serializer):
     prompt = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
-                                   error_messages=ErrMessage.char("提示词"))
+                                   error_messages=ErrMessage.char(_("Prompt word")))
     system = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
-                                   error_messages=ErrMessage.char("角色提示词"))
+                                   error_messages=ErrMessage.char(_("Role prompts")))
     no_references_prompt = serializers.CharField(required=True, max_length=102400, allow_null=True, allow_blank=True,
-                                                 error_messages=ErrMessage.char("无引用分段提示词"))
+                                                 error_messages=ErrMessage.char(_("No citation segmentation prompt")))
+    reasoning_content_enable = serializers.BooleanField(required=False,
+                                                        error_messages=ErrMessage.char(_("Thinking process switch")))
+    reasoning_content_start = serializers.CharField(required=False, allow_null=True, default="<think>",
+                                                    allow_blank=True, max_length=256,
+                                                    trim_whitespace=False,
+                                                    error_messages=ErrMessage.char(
+                                                        _("The thinking process begins to mark")))
+    reasoning_content_end = serializers.CharField(required=False, allow_null=True, allow_blank=True, default="</think>",
+                                                  max_length=256,
+                                                  trim_whitespace=False,
+                                                  error_messages=ErrMessage.char(_("End of thinking process marker")))
 
 
 class ApplicationWorkflowSerializer(serializers.Serializer):
-    name = serializers.CharField(required=True, max_length=64, min_length=1, error_messages=ErrMessage.char("应用名称"))
+    name = serializers.CharField(required=True, max_length=64, min_length=1,
+                                 error_messages=ErrMessage.char(_("Application Name")))
     desc = serializers.CharField(required=False, allow_null=True, allow_blank=True,
                                  max_length=256, min_length=1,
-                                 error_messages=ErrMessage.char("应用描述"))
-    work_flow = serializers.DictField(required=False, error_messages=ErrMessage.dict("工作流对象"))
-    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
-                                     error_messages=ErrMessage.char("开场白"))
+                                 error_messages=ErrMessage.char(_("Application Description")))
+    work_flow = serializers.DictField(required=False, error_messages=ErrMessage.dict(_("Workflow Objects")))
+    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
+                                     error_messages=ErrMessage.char(_("Opening remarks")))
 
     @staticmethod
     def to_application_model(user_id: str, application: Dict):
+        language = get_language()
         if application.get('work_flow') is not None:
             default_workflow = application.get('work_flow')
         else:
-            default_workflow_json = get_file_content(
-                os.path.join(PROJECT_DIR, "apps", "application", 'flow', 'default_workflow.json'))
+            workflow_file_path = os.path.join(PROJECT_DIR, "apps", "application", 'flow',
+                                              f'default_workflow_{to_locale(language)}.json')
+            if not os.path.exists(workflow_file_path):
+                workflow_file_path = os.path.join(PROJECT_DIR, "apps", "application", 'flow',
+                                                  f'default_workflow_zh.json')
+            default_workflow_json = get_file_content(workflow_file_path)
             default_workflow = json.loads(default_workflow_json)
         for node in default_workflow.get('nodes'):
             if node.get('id') == 'base-node':
@@ -194,36 +216,41 @@ def get_base_node_work_flow(work_flow):
 
 
 class ApplicationSerializer(serializers.Serializer):
-    name = serializers.CharField(required=True, max_length=64, min_length=1, error_messages=ErrMessage.char("应用名称"))
+    name = serializers.CharField(required=True, max_length=64, min_length=1,
+                                 error_messages=ErrMessage.char(_("application name")))
     desc = serializers.CharField(required=False, allow_null=True, allow_blank=True,
                                  max_length=256, min_length=1,
-                                 error_messages=ErrMessage.char("应用描述"))
+                                 error_messages=ErrMessage.char(_("application describe")))
     model_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
-                                     error_messages=ErrMessage.char("模型"))
+                                     error_messages=ErrMessage.char(_("Model")))
     dialogue_number = serializers.IntegerField(required=True,
                                                min_value=0,
                                                max_value=1024,
-                                               error_messages=ErrMessage.integer("历史聊天记录"))
-    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
-                                     error_messages=ErrMessage.char("开场白"))
+                                               error_messages=ErrMessage.integer(_("Historical chat records")))
+    prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
+                                     error_messages=ErrMessage.char(_("Opening remarks")))
     dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
-                                                 allow_null=True, error_messages=ErrMessage.list("关联知识库"))
+                                                 allow_null=True,
+                                                 error_messages=ErrMessage.list(_("Related Knowledge Base")))
     # 数据集相关设置
     dataset_setting = DatasetSettingSerializer(required=True)
     # 模型相关设置
     model_setting = ModelSettingSerializer(required=True)
     # 问题补全
-    problem_optimization = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean("问题补全"))
+    problem_optimization = serializers.BooleanField(required=True,
+                                                    error_messages=ErrMessage.boolean(_("Question completion")))
     problem_optimization_prompt = serializers.CharField(required=False, max_length=102400,
-                                                        error_messages=ErrMessage.char("问题补全提示词"))
+                                                        error_messages=ErrMessage.char(_("Question completion prompt")))
     # 应用类型
-    type = serializers.CharField(required=True, error_messages=ErrMessage.char("应用类型"),
+    type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Application Type")),
                                  validators=[
                                      validators.RegexValidator(regex=re.compile("^SIMPLE|WORK_FLOW$"),
-                                                               message="应用类型只支持SIMPLE|WORK_FLOW", code=500)
+                                                               message=_(
+                                                                   "Application type only supports SIMPLE|WORK_FLOW"),
+                                                               code=500)
                                  ]
                                  )
-    model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.dict('模型参数'))
+    model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.dict(_('Model parameters')))
 
     def is_valid(self, *, user_id=None, raise_exception=False):
         super().is_valid(raise_exception=True)
@@ -231,9 +258,9 @@ class ApplicationSerializer(serializers.Serializer):
                                       'dataset_id_list': self.data.get('dataset_id_list')}).is_valid()
 
     class Embed(serializers.Serializer):
-        host = serializers.CharField(required=True, error_messages=ErrMessage.char("主机"))
-        protocol = serializers.CharField(required=True, error_messages=ErrMessage.char("协议"))
-        token = serializers.CharField(required=True, error_messages=ErrMessage.char("token"))
+        host = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Host")))
+        protocol = serializers.CharField(required=True, error_messages=ErrMessage.char(_("protocol")))
+        token = serializers.CharField(required=True, error_messages=ErrMessage.char(_("token")))
 
         def get_embed(self, with_valid=True, params=None):
             if params is None:
@@ -268,7 +295,8 @@ class ApplicationSerializer(serializers.Serializer):
                         float_location = application_setting.float_location
                     if application_setting.custom_theme is not None and len(
                             application_setting.custom_theme.get('header_font_color', 'rgb(100, 106, 115)')) > 0:
-                        header_font_color = application_setting.custom_theme.get('header_font_color', 'rgb(100, 106, 115)')
+                        header_font_color = application_setting.custom_theme.get('header_font_color',
+                                                                                 'rgb(100, 106, 115)')
 
             is_auth = 'true' if application_access_token is not None and application_access_token.is_active else 'false'
             t = Template(content)
@@ -306,26 +334,31 @@ class ApplicationSerializer(serializers.Serializer):
                                 for field in input_field_list:
                                     if field['assignment_method'] == 'api_input' and field['variable'] in params:
                                         query += f"&{field['variable']}={params[field['variable']]}"
-
+            if 'asker' in params:
+                query += f"&asker={params.get('asker')}"
             return query
 
     class AccessTokenSerializer(serializers.Serializer):
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.boolean("应用id"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.boolean(_("Application ID")))
 
         class AccessTokenEditSerializer(serializers.Serializer):
             access_token_reset = serializers.BooleanField(required=False,
-                                                          error_messages=ErrMessage.boolean("重置Token"))
-            is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("是否开启"))
+                                                          error_messages=ErrMessage.boolean(_("Reset Token")))
+            is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Is it enabled")))
             access_num = serializers.IntegerField(required=False, max_value=10000,
                                                   min_value=0,
-                                                  error_messages=ErrMessage.integer("访问次数"))
-            white_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("是否开启白名单"))
+                                                  error_messages=ErrMessage.integer(_("Number of visits")))
+            white_active = serializers.BooleanField(required=False,
+                                                    error_messages=ErrMessage.boolean(_("Whether to enable whitelist")))
             white_list = serializers.ListSerializer(required=False, child=serializers.CharField(required=True,
                                                                                                 error_messages=ErrMessage.char(
-                                                                                                    "白名单")),
-                                                    error_messages=ErrMessage.list("白名单列表")),
+                                                                                                    _("Whitelist"))),
+                                                    error_messages=ErrMessage.list(_("Whitelist"))),
             show_source = serializers.BooleanField(required=False,
-                                                   error_messages=ErrMessage.boolean("是否显示知识来源"))
+                                                   error_messages=ErrMessage.boolean(
+                                                       _("Whether to display knowledge sources")))
+            language = serializers.CharField(required=False, allow_blank=True, allow_null=True,
+                                             error_messages=ErrMessage.char(_("language")))
 
         def edit(self, instance: Dict, with_valid=True):
             if with_valid:
@@ -348,6 +381,10 @@ class ApplicationSerializer(serializers.Serializer):
                 application_access_token.white_list = instance.get('white_list')
             if 'show_source' in instance and instance.get('show_source') is not None:
                 application_access_token.show_source = instance.get('show_source')
+            if 'language' in instance and instance.get('language') is not None:
+                application_access_token.language = instance.get('language')
+            if 'language' not in instance or instance.get('language') is None:
+                application_access_token.language = None
             application_access_token.save()
             application_setting_model = DBModelManage.get_model('application_setting')
             xpack_cache = DBModelManage.get_model('xpack_cache')
@@ -385,13 +422,14 @@ class ApplicationSerializer(serializers.Serializer):
                     'access_num': application_access_token.access_num,
                     'white_active': application_access_token.white_active,
                     'white_list': application_access_token.white_list,
-                    'show_source': application_access_token.show_source
+                    'show_source': application_access_token.show_source,
+                    'language': application_access_token.language
                     }
 
     class Authentication(serializers.Serializer):
-        access_token = serializers.CharField(required=True, error_messages=ErrMessage.char("access_token"))
+        access_token = serializers.CharField(required=True, error_messages=ErrMessage.char(_("access_token")))
         authentication_value = serializers.JSONField(required=False, allow_null=True,
-                                                     error_messages=ErrMessage.char("认证信息"))
+                                                     error_messages=ErrMessage.char(_("Certification Information")))
 
         def auth(self, request, with_valid=True):
             token = request.META.get('HTTP_AUTHORIZATION')
@@ -428,7 +466,7 @@ class ApplicationSerializer(serializers.Serializer):
                                        'authentication': authentication})
                 return token
             else:
-                raise NotFound404(404, "无效的access_token")
+                raise NotFound404(404, _("Invalid access_token"))
 
         def auth_authentication_value(self, authentication_value, application_id):
             application_setting_model = DBModelManage.get_model('application_setting')
@@ -439,7 +477,7 @@ class ApplicationSerializer(serializers.Serializer):
                 if application_setting.authentication and authentication_value is not None:
                     if authentication_value.get('type') == 'password':
                         if not self.auth_password(authentication_value, application_setting.authentication_value):
-                            raise AppApiException(1005, "密码错误")
+                            raise AppApiException(1005, _("Wrong password"))
             return True
 
         @staticmethod
@@ -448,38 +486,40 @@ class ApplicationSerializer(serializers.Serializer):
 
     class Edit(serializers.Serializer):
         name = serializers.CharField(required=False, max_length=64, min_length=1,
-                                     error_messages=ErrMessage.char("应用名称"))
+                                     error_messages=ErrMessage.char(_("Application Name")))
         desc = serializers.CharField(required=False, max_length=256, min_length=1, allow_null=True, allow_blank=True,
-                                     error_messages=ErrMessage.char("应用描述"))
+                                     error_messages=ErrMessage.char(_("Application Description")))
         model_id = serializers.CharField(required=False, allow_blank=True, allow_null=True,
-                                         error_messages=ErrMessage.char("模型"))
+                                         error_messages=ErrMessage.char(_("Model")))
         dialogue_number = serializers.IntegerField(required=False,
                                                    min_value=0,
                                                    max_value=1024,
-                                                   error_messages=ErrMessage.integer("历史聊天记录"))
-        prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=4096,
-                                         error_messages=ErrMessage.char("开场白"))
+                                                   error_messages=ErrMessage.integer(_("Historical chat records")))
+        prologue = serializers.CharField(required=False, allow_null=True, allow_blank=True, max_length=102400,
+                                         error_messages=ErrMessage.char(_("Opening remarks")))
         dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
-                                                     error_messages=ErrMessage.list("关联知识库")
+                                                     error_messages=ErrMessage.list(_("Related Knowledge Base"))
                                                      )
         # 数据集相关设置
         dataset_setting = DatasetSettingSerializer(required=False, allow_null=True,
-                                                   error_messages=ErrMessage.json("数据集设置"))
+                                                   error_messages=ErrMessage.json(_("Dataset settings")))
         # 模型相关设置
         model_setting = ModelSettingSerializer(required=False, allow_null=True,
-                                               error_messages=ErrMessage.json("模型设置"))
+                                               error_messages=ErrMessage.json(_("Model setup")))
         # 问题补全
         problem_optimization = serializers.BooleanField(required=False, allow_null=True,
-                                                        error_messages=ErrMessage.boolean("问题补全"))
-        icon = serializers.CharField(required=False, allow_null=True, error_messages=ErrMessage.char("icon图标"))
+                                                        error_messages=ErrMessage.boolean(_("Question completion")))
+        icon = serializers.CharField(required=False, allow_null=True, error_messages=ErrMessage.char(_("Icon")))
 
-        model_params_setting = serializers.DictField(required=False, error_messages=ErrMessage.dict('模型参数'))
+        model_params_setting = serializers.DictField(required=False,
+                                                     error_messages=ErrMessage.dict(_('Model parameters')))
 
     class Create(serializers.Serializer):
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
         @valid_license(model=Application, count=5,
-                       message='社区版最多支持 5 个应用，如需拥有更多应用，请联系我们（https://fit2cloud.com/）。')
+                       message=_(
+                           'The community version supports up to 5 applications. If you need more applications, please contact us (https://fit2cloud.com/).'))
         @transaction.atomic
         def insert(self, application: Dict):
             application_type = application.get('type')
@@ -545,22 +585,22 @@ class ApplicationSerializer(serializers.Serializer):
             return ApplicationDatasetMapping(id=uuid.uuid1(), application_id=application_id, dataset_id=dataset_id)
 
     class HitTest(serializers.Serializer):
-        id = serializers.CharField(required=True, error_messages=ErrMessage.uuid("应用id"))
-        user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid("用户id"))
-        query_text = serializers.CharField(required=True, error_messages=ErrMessage.char("查询文本"))
-        top_number = serializers.IntegerField(required=True, max_value=100, min_value=1,
-                                              error_messages=ErrMessage.integer("topN"))
+        id = serializers.CharField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
+        user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid(_("User ID")))
+        query_text = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Query text")))
+        top_number = serializers.IntegerField(required=True, max_value=10000, min_value=1,
+                                              error_messages=ErrMessage.integer(_("topN")))
         similarity = serializers.FloatField(required=True, max_value=2, min_value=0,
-                                            error_messages=ErrMessage.float("相关度"))
+                                            error_messages=ErrMessage.float(_("Relevance")))
         search_mode = serializers.CharField(required=True, validators=[
             validators.RegexValidator(regex=re.compile("^embedding|keywords|blend$"),
-                                      message="类型只支持register|reset_password", code=500)
-        ], error_messages=ErrMessage.char("检索模式"))
+                                      message=_("The type only supports embedding|keywords|blend"), code=500)
+        ], error_messages=ErrMessage.char(_("Retrieval Mode")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
             if not QuerySet(Application).filter(id=self.data.get('id')).exists():
-                raise AppApiException(500, '不存在的应用id')
+                raise AppApiException(500, _('Application id does not exist'))
 
         def hit_test(self):
             self.is_valid()
@@ -587,12 +627,12 @@ class ApplicationSerializer(serializers.Serializer):
                      'comprehensive_score': hit_dict.get(p.get('id')).get('comprehensive_score')} for p in p_list]
 
     class Query(serializers.Serializer):
-        name = serializers.CharField(required=False, error_messages=ErrMessage.char("应用名称"))
+        name = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Application Name")))
 
-        desc = serializers.CharField(required=False, error_messages=ErrMessage.char("应用描述"))
+        desc = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Application Description")))
 
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
-        select_user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid("选择用户id"))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
+        select_user_id = serializers.UUIDField(required=False, error_messages=ErrMessage.uuid(_("Select User ID")))
 
         def get_query_set(self):
             user_id = self.data.get("user_id")
@@ -620,8 +660,7 @@ class ApplicationSerializer(serializers.Serializer):
             query_set_dict['team_member_permission_custom_sql'] = QuerySet(model=get_dynamics_model(
                 {'user_id': models.CharField(),
                  'team_member_permission.auth_target_type': models.CharField(),
-                 'team_member_permission.operate': ArrayField(verbose_name="权限操作列表",
-                                                              base_field=models.CharField(max_length=256,
+                 'team_member_permission.operate': ArrayField(base_field=models.CharField(max_length=256,
                                                                                           blank=True,
                                                                                           choices=AuthOperate.choices,
                                                                                           default=AuthOperate.USE)
@@ -661,16 +700,16 @@ class ApplicationSerializer(serializers.Serializer):
             fields = ['id', 'name', 'desc', 'prologue', 'dialogue_number', 'icon', 'type']
 
     class IconOperate(serializers.Serializer):
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
-        image = UploadedImageField(required=True, error_messages=ErrMessage.image("图片"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
+        image = UploadedImageField(required=True, error_messages=ErrMessage.image(_("picture")))
 
         def edit(self, with_valid=True):
             if with_valid:
                 self.is_valid(raise_exception=True)
             application = QuerySet(Application).filter(id=self.data.get('application_id')).first()
             if application is None:
-                raise AppApiException(500, '不存在的应用id')
+                raise AppApiException(500, _('Application id does not exist'))
             image_id = uuid.uuid1()
             image = Image(id=image_id, image=self.data.get('image').read(), image_name=self.data.get('image').name)
             image.save()
@@ -682,11 +721,12 @@ class ApplicationSerializer(serializers.Serializer):
             return {**ApplicationSerializer.Query.reset_application(ApplicationSerializerModel(application).data)}
 
     class Import(serializers.Serializer):
-        file = UploadedFileField(required=True, error_messages=ErrMessage.image("文件"))
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        file = UploadedFileField(required=True, error_messages=ErrMessage.image(_("file")))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
         @valid_license(model=Application, count=5,
-                       message='社区版最多支持 5 个应用，如需拥有更多应用，请联系我们（https://fit2cloud.com/）。')
+                       message=_(
+                           'The community version supports up to 5 applications. If you need more applications, please contact us (https://fit2cloud.com/).'))
         @transaction.atomic
         def import_(self, with_valid=True):
             if with_valid:
@@ -694,9 +734,9 @@ class ApplicationSerializer(serializers.Serializer):
             user_id = self.data.get('user_id')
             mk_instance_bytes = self.data.get('file').read()
             try:
-                mk_instance = pickle.loads(mk_instance_bytes)
+                mk_instance = restricted_loads(mk_instance_bytes)
             except Exception as e:
-                raise AppApiException(1001, "不支持的文件格式")
+                raise AppApiException(1001, _("Unsupported file format"))
             application = mk_instance.application
             function_lib_list = mk_instance.function_lib_list
             if len(function_lib_list) > 0:
@@ -755,13 +795,13 @@ class ApplicationSerializer(serializers.Serializer):
                                permission_type=PermissionType.PRIVATE)
 
     class Operate(serializers.Serializer):
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
             if not QuerySet(Application).filter(id=self.data.get('application_id')).exists():
-                raise AppApiException(500, '不存在的应用id')
+                raise AppApiException(500, _('Application id does not exist'))
 
         def list_model(self, model_type=None, with_valid=True):
             if with_valid:
@@ -777,8 +817,10 @@ class ApplicationSerializer(serializers.Serializer):
             if with_valid:
                 self.is_valid(raise_exception=True)
             application = QuerySet(Application).filter(id=self.data.get("application_id")).first()
-            return FunctionLibSerializer.Query(data={'user_id': application.user_id, 'is_active': True}).list(
-                with_valid=True)
+            return FunctionLibSerializer.Query(
+                data={'user_id': application.user_id, 'is_active': True,
+                      'function_type': FunctionType.PUBLIC}
+            ).list(with_valid=True)
 
         def get_function_lib(self, function_lib_id, with_valid=True):
             if with_valid:
@@ -834,7 +876,7 @@ class ApplicationSerializer(serializers.Serializer):
             application = QuerySet(Application).filter(id=self.data.get("application_id")).first()
             work_flow = instance.get('work_flow')
             if work_flow is None:
-                raise AppApiException(500, "work_flow是必填字段")
+                raise AppApiException(500, _("work_flow is a required field"))
             Flow.new_instance(work_flow).is_valid()
             base_node = get_base_node_work_flow(work_flow)
             if base_node is not None:
@@ -896,7 +938,9 @@ class ApplicationSerializer(serializers.Serializer):
                 dataset_id_list = node_data.get('dataset_id_list', [])
                 for dataset_id in dataset_id_list:
                     if not user_dataset_id_list.__contains__(dataset_id):
-                        raise AppApiException(500, f"未知的知识库id${dataset_id},无法关联")
+                        message = lazy_format(_('Unknown knowledge base id {dataset_id}, unable to associate'),
+                                              dataset_id=dataset_id)
+                        raise AppApiException(500, message)
 
                 source_dataset_id_list = node_data.get('source_dataset_id_list', [])
                 source_dataset_id_list = [source_dataset_id for source_dataset_id in source_dataset_id_list if
@@ -914,8 +958,14 @@ class ApplicationSerializer(serializers.Serializer):
             application = QuerySet(Application).get(id=application_id)
             application_access_token = QuerySet(ApplicationAccessToken).filter(application_id=application.id).first()
             if application_access_token is None:
-                raise AppUnauthorizedFailed(500, "非法用户")
+                raise AppUnauthorizedFailed(500, _("Illegal User"))
             application_setting_model = DBModelManage.get_model('application_setting')
+            if application.type == ApplicationTypeChoices.WORK_FLOW:
+                work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=application.id).order_by(
+                    '-create_time')[0:1].first()
+                if work_flow_version is not None:
+                    application.work_flow = work_flow_version.work_flow
+
             xpack_cache = DBModelManage.get_model('xpack_cache')
             X_PACK_LICENSE_IS_VALID = False if xpack_cache is None else xpack_cache.get('XPACK_LICENSE_IS_VALID', False)
             application_setting_dict = {}
@@ -940,6 +990,7 @@ class ApplicationSerializer(serializers.Serializer):
                                                 'draggable': application_setting.draggable,
                                                 'show_guide': application_setting.show_guide,
                                                 'avatar': application_setting.avatar,
+                                                'show_avatar': application_setting.show_avatar,
                                                 'float_icon': application_setting.float_icon,
                                                 'authentication': application_setting.authentication,
                                                 'authentication_type': application_setting.authentication_value.get(
@@ -948,6 +999,7 @@ class ApplicationSerializer(serializers.Serializer):
                                                 'disclaimer_value': application_setting.disclaimer_value,
                                                 'custom_theme': application_setting.custom_theme,
                                                 'user_avatar': application_setting.user_avatar,
+                                                'show_user_avatar': application_setting.show_user_avatar,
                                                 'float_location': application_setting.float_location}
             return ApplicationSerializer.Query.reset_application(
                 {**ApplicationSerializer.ApplicationModel(application).data,
@@ -956,10 +1008,14 @@ class ApplicationSerializer(serializers.Serializer):
                  'stt_model_enable': application.stt_model_enable,
                  'tts_model_enable': application.tts_model_enable,
                  'tts_type': application.tts_type,
+                 'tts_autoplay': application.tts_autoplay,
+                 'stt_autosend': application.stt_autosend,
                  'file_upload_enable': application.file_upload_enable,
                  'file_upload_setting': application.file_upload_setting,
-                 'work_flow': application.work_flow,
+                 'work_flow': {'nodes': [node for node in ((application.work_flow or {}).get('nodes', []) or []) if
+                                         node.get('id') == 'base-node']},
                  'show_source': application_access_token.show_source,
+                 'language': application_access_token.language,
                  **application_setting_dict})
 
         @transaction.atomic
@@ -977,27 +1033,30 @@ class ApplicationSerializer(serializers.Serializer):
                 model = QuerySet(Model).filter(
                     id=instance.get('model_id')).first()
                 if model is None:
-                    raise AppApiException(500, "模型不存在")
+                    raise AppApiException(500, _("Model does not exist"))
                 if not model.is_permission(application.user_id):
-                    raise AppApiException(500, f"沒有权限使用该模型:{model.name}")
+                    message = lazy_format(_('No permission to use this model:{model_name}'), model_name=model.name)
+                    raise AppApiException(500, message)
             if instance.get('stt_model_id') is None or len(instance.get('stt_model_id')) == 0:
                 application.stt_model_id = None
             else:
                 model = QuerySet(Model).filter(
                     id=instance.get('stt_model_id')).first()
                 if model is None:
-                    raise AppApiException(500, "模型不存在")
+                    raise AppApiException(500, _("Model does not exist"))
                 if not model.is_permission(application.user_id):
-                    raise AppApiException(500, f"沒有权限使用该模型:{model.name}")
+                    message = lazy_format(_('No permission to use this model:{model_name}'), model_name=model.name)
+                    raise AppApiException(500, message)
             if instance.get('tts_model_id') is None or len(instance.get('tts_model_id')) == 0:
                 application.tts_model_id = None
             else:
                 model = QuerySet(Model).filter(
                     id=instance.get('tts_model_id')).first()
                 if model is None:
-                    raise AppApiException(500, "模型不存在")
+                    raise AppApiException(500, _("Model does not exist"))
                 if not model.is_permission(application.user_id):
-                    raise AppApiException(500, f"沒有权限使用该模型:{model.name}")
+                    message = lazy_format(_('No permission to use this model:{model_name}'), model_name=model.name)
+                    raise AppApiException(500, message)
             if 'work_flow' in instance:
                 # 当前用户可修改关联的知识库列表
                 application_dataset_id_list = [str(dataset_dict.get('id')) for dataset_dict in
@@ -1009,12 +1068,13 @@ class ApplicationSerializer(serializers.Serializer):
             update_keys = ['name', 'desc', 'model_id', 'multiple_rounds_dialogue', 'prologue', 'status',
                            'dataset_setting', 'model_setting', 'problem_optimization', 'dialogue_number',
                            'stt_model_id', 'tts_model_id', 'tts_model_enable', 'stt_model_enable', 'tts_type',
-                           'file_upload_enable', 'file_upload_setting',
+                           'tts_autoplay', 'stt_autosend', 'file_upload_enable', 'file_upload_setting',
                            'api_key_is_active', 'icon', 'work_flow', 'model_params_setting', 'tts_model_params_setting',
                            'problem_optimization_prompt', 'clean_time']
             for update_key in update_keys:
                 if update_key in instance and instance.get(update_key) is not None:
                     application.__setattr__(update_key, instance.get(update_key))
+            print(application.name)
             application.save()
 
             if 'dataset_id_list' in instance:
@@ -1024,13 +1084,16 @@ class ApplicationSerializer(serializers.Serializer):
                                                self.list_dataset(with_valid=False)]
                 for dataset_id in dataset_id_list:
                     if not application_dataset_id_list.__contains__(dataset_id):
-                        raise AppApiException(500, f"未知的知识库id${dataset_id},无法关联")
+                        message = lazy_format(_('Unknown knowledge base id {dataset_id}, unable to associate'),
+                                              dataset_id=dataset_id)
+                        raise AppApiException(500, message)
 
                 self.save_application_mapping(application_dataset_id_list, dataset_id_list, application_id)
             if application.type == ApplicationTypeChoices.SIMPLE:
                 chat_cache.clear_by_application_id(application_id)
             application_access_token = QuerySet(ApplicationAccessToken).filter(application_id=application_id).first()
             # 更新缓存数据
+            print(application.name)
             get_application_access_token(application_access_token.access_token, False)
             return self.one(with_valid=False)
 
@@ -1073,12 +1136,18 @@ class ApplicationSerializer(serializers.Serializer):
                         instance['tts_model_enable'] = node_data['tts_model_enable']
                     if 'tts_type' in node_data:
                         instance['tts_type'] = node_data['tts_type']
+                    if 'tts_autoplay' in node_data:
+                        instance['tts_autoplay'] = node_data['tts_autoplay']
+                    if 'stt_autosend' in node_data:
+                        instance['stt_autosend'] = node_data['stt_autosend']
                     if 'tts_model_params_setting' in node_data:
                         instance['tts_model_params_setting'] = node_data['tts_model_params_setting']
                     if 'file_upload_enable' in node_data:
                         instance['file_upload_enable'] = node_data['file_upload_enable']
                     if 'file_upload_setting' in node_data:
                         instance['file_upload_setting'] = node_data['file_upload_setting']
+                    if 'name' in node_data:
+                        instance['name'] = node_data['name']
                     break
 
         def speech_to_text(self, file, with_valid=True):
@@ -1146,9 +1215,25 @@ class ApplicationSerializer(serializers.Serializer):
         def get_application(self, app_id, with_valid=True):
             if with_valid:
                 self.is_valid(raise_exception=True)
-            application = QuerySet(Application).filter(id=self.data.get("application_id")).first()
-            return ApplicationSerializer.Operate(data={'user_id': application.user_id, 'application_id': app_id}).one(
-                with_valid=True)
+            if with_valid:
+                self.is_valid()
+            embed_application = QuerySet(Application).filter(id=app_id).first()
+            if embed_application is None:
+                raise AppApiException(500, _('Application does not exist'))
+            if embed_application.type == ApplicationTypeChoices.WORK_FLOW:
+                work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=embed_application.id).order_by(
+                    '-create_time')[0:1].first()
+                if work_flow_version is not None:
+                    embed_application.work_flow = work_flow_version.work_flow
+            dataset_list = self.list_dataset(with_valid=False)
+            mapping_dataset_id_list = [adm.dataset_id for adm in
+                                       QuerySet(ApplicationDatasetMapping).filter(application_id=app_id)]
+            dataset_id_list = [d.get('id') for d in
+                               list(filter(lambda row: mapping_dataset_id_list.__contains__(row.get('id')),
+                                           dataset_list))]
+            self.update_search_node(embed_application.work_flow, [str(dataset.get('id')) for dataset in dataset_list])
+            return {**ApplicationSerializer.Query.reset_application(ApplicationSerializerModel(embed_application).data),
+                    'dataset_id_list': dataset_id_list}
 
     class ApplicationKeySerializerModel(serializers.ModelSerializer):
         class Meta:
@@ -1156,16 +1241,16 @@ class ApplicationSerializer(serializers.Serializer):
             fields = "__all__"
 
     class ApplicationKeySerializer(serializers.Serializer):
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
             application_id = self.data.get("application_id")
             application = QuerySet(Application).filter(id=application_id).first()
             if application is None:
-                raise AppApiException(1001, "应用不存在")
+                raise AppApiException(1001, _("Application does not exist"))
 
         def generate(self, with_valid=True):
             if with_valid:
@@ -1187,21 +1272,22 @@ class ApplicationSerializer(serializers.Serializer):
                     QuerySet(ApplicationApiKey).filter(application_id=application_id)]
 
         class Edit(serializers.Serializer):
-            is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("是否可用"))
+            is_active = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Availability")))
 
             allow_cross_domain = serializers.BooleanField(required=False,
-                                                          error_messages=ErrMessage.boolean("是否允许跨域"))
+                                                          error_messages=ErrMessage.boolean(
+                                                              _("Is cross-domain allowed")))
 
             cross_domain_list = serializers.ListSerializer(required=False,
                                                            child=serializers.CharField(required=True,
                                                                                        error_messages=ErrMessage.char(
-                                                                                           "跨域列表")),
-                                                           error_messages=ErrMessage.char("跨域地址"))
+                                                                                           _("Cross-domain address"))),
+                                                           error_messages=ErrMessage.char(_("Cross-domain list")))
 
         class Operate(serializers.Serializer):
-            application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
+            application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
 
-            api_key_id = serializers.CharField(required=True, error_messages=ErrMessage.char("ApiKeyid"))
+            api_key_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("ApiKeyid")))
 
             def delete(self, with_valid=True):
                 if with_valid:
@@ -1222,7 +1308,7 @@ class ApplicationSerializer(serializers.Serializer):
                 application_api_key = QuerySet(ApplicationApiKey).filter(id=api_key_id,
                                                                          application_id=application_id).first()
                 if application_api_key is None:
-                    raise AppApiException(500, '不存在')
+                    raise AppApiException(500, _('APIKey does not exist'))
                 if 'is_active' in instance and instance.get('is_active') is not None:
                     application_api_key.is_active = instance.get('is_active')
                 if 'allow_cross_domain' in instance and instance.get('allow_cross_domain') is not None:
@@ -1232,3 +1318,29 @@ class ApplicationSerializer(serializers.Serializer):
                 application_api_key.save()
                 # 写入缓存
                 get_application_api_key(application_api_key.secret_key, False)
+
+    class McpServers(serializers.Serializer):
+        mcp_servers = serializers.JSONField(required=True)
+
+        def get_mcp_servers(self, with_valid=True):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+                if '"stdio"' in self.data.get('mcp_servers'):
+                    raise AppApiException(500, _('stdio is not supported'))
+            servers = json.loads(self.data.get('mcp_servers'))
+
+            async def get_mcp_tools(servers):
+                async with MultiServerMCPClient(servers) as client:
+                    return client.get_tools()
+
+            tools = []
+            for server in servers:
+                tools += [
+                    {
+                        'server': server,
+                        'name': tool.name,
+                        'description': tool.description,
+                        'args_schema': tool.args_schema,
+                    }
+                    for tool in asyncio.run(get_mcp_tools({server: servers[server]}))]
+            return tools

apps/application/serializers/application_statistics_serializers.py

@@ -19,12 +19,13 @@ from common.db.search import native_search, get_dynamics_model
 from common.util.field_message import ErrMessage
 from common.util.file_util import get_file_content
 from smartdoc.conf import PROJECT_DIR
+from django.utils.translation import gettext_lazy as _
 
 
 class ApplicationStatisticsSerializer(serializers.Serializer):
-    application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char("应用id"))
-    start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("开始时间"))
-    end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("结束时间"))
+    application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char(_("Application ID")))
+    start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("Start time")))
+    end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("End time")))
 
     def get_end_time(self):
         return datetime.datetime.combine(

apps/application/serializers/application_version_serializers.py

@@ -9,6 +9,7 @@
 from typing import Dict
 
 from django.db.models import QuerySet
+from django.utils.translation import gettext_lazy as _
 from rest_framework import serializers
 
 from application.models import WorkFlowVersion
@@ -26,14 +27,14 @@ class ApplicationVersionModelSerializer(serializers.ModelSerializer):
 
 class ApplicationVersionEditSerializer(serializers.Serializer):
     name = serializers.CharField(required=False, max_length=128, allow_null=True, allow_blank=True,
-                                 error_messages=ErrMessage.char("版本名称"))
+                                 error_messages=ErrMessage.char(_("Version Name")))
 
 
 class ApplicationVersionSerializer(serializers.Serializer):
     class Query(serializers.Serializer):
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char("应用id"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char(_("Application ID")))
         name = serializers.CharField(required=False, allow_null=True, allow_blank=True,
-                                     error_messages=ErrMessage.char("摘要"))
+                                     error_messages=ErrMessage.char(_("summary")))
 
         def get_query_set(self):
             query_set = QuerySet(WorkFlowVersion).filter(application_id=self.data.get('application_id'))
@@ -55,8 +56,9 @@ class ApplicationVersionSerializer(serializers.Serializer):
                                post_records_handler=lambda v: ApplicationVersionModelSerializer(v).data)
 
     class Operate(serializers.Serializer):
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char("应用id"))
-        work_flow_version_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("工作流版本id"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.char(_("Application ID")))
+        work_flow_version_id = serializers.UUIDField(required=True,
+                                                     error_messages=ErrMessage.uuid(_("Workflow version id")))
 
         def one(self, with_valid=True):
             if with_valid:
@@ -66,7 +68,7 @@ class ApplicationVersionSerializer(serializers.Serializer):
             if work_flow_version is not None:
                 return ApplicationVersionModelSerializer(work_flow_version).data
             else:
-                raise AppApiException(500, '不存在的工作流版本')
+                raise AppApiException(500, _('Workflow version does not exist'))
 
         def edit(self, instance: Dict, with_valid=True):
             if with_valid:
@@ -81,4 +83,4 @@ class ApplicationVersionSerializer(serializers.Serializer):
                 work_flow_version.save()
                 return ApplicationVersionModelSerializer(work_flow_version).data
             else:
-                raise AppApiException(500, '不存在的工作流版本')
+                raise AppApiException(500, _('Workflow version does not exist'))

apps/application/serializers/chat_message_serializers.py

@@ -22,6 +22,7 @@ from application.chat_pipeline.step.generate_human_message_step.impl.base_genera
     BaseGenerateHumanMessageStep
 from application.chat_pipeline.step.reset_problem_step.impl.base_reset_problem_step import BaseResetProblemStep
 from application.chat_pipeline.step.search_dataset_step.impl.base_search_dataset_step import BaseSearchDatasetStep
+from application.flow.common import Answer
 from application.flow.i_step_node import WorkFlowPostHandler
 from application.flow.workflow_manage import WorkflowManage, Flow
 from application.models import ChatRecord, Chat, Application, ApplicationDatasetMapping, ApplicationTypeChoices, \
@@ -37,6 +38,7 @@ from common.util.split_model import flat_map
 from dataset.models import Paragraph, Document
 from setting.models import Model, Status
 from setting.models_provider import get_model_credential
+from django.utils.translation import gettext_lazy as _
 
 chat_cache = caches['chat_cache']
 
@@ -93,7 +95,8 @@ class ChatInfo:
             'chat_id': self.chat_id,
             'dialogue_number': self.application.dialogue_number,
             'problem_optimization_prompt': self.application.problem_optimization_prompt if self.application.problem_optimization_prompt is not None and len(
-                self.application.problem_optimization_prompt) > 0 else '()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中',
+                self.application.problem_optimization_prompt) > 0 else _(
+                "() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag"),
             'prompt': model_setting.get(
                 'prompt') if 'prompt' in model_setting and len(model_setting.get(
                 'prompt')) > 0 else Application.get_default_model_prompt(),
@@ -102,6 +105,7 @@ class ChatInfo:
             'model_id': model_id,
             'problem_optimization': self.application.problem_optimization,
             'stream': True,
+            'model_setting': model_setting,
             'model_params_setting': model_params_setting if self.application.model_params_setting is None or len(
                 self.application.model_params_setting.keys()) == 0 else self.application.model_params_setting,
             'search_mode': self.application.dataset_setting.get(
@@ -112,13 +116,15 @@ class ChatInfo:
         }
 
     def to_pipeline_manage_params(self, problem_text: str, post_response_handler: PostResponseHandler,
-                                  exclude_paragraph_id_list, client_id: str, client_type, stream=True):
+                                  exclude_paragraph_id_list, client_id: str, client_type, stream=True, form_data=None):
+        if form_data is None:
+            form_data = {}
         params = self.to_base_pipeline_manage_params()
         return {**params, 'problem_text': problem_text, 'post_response_handler': post_response_handler,
                 'exclude_paragraph_id_list': exclude_paragraph_id_list, 'stream': stream, 'client_id': client_id,
-                'client_type': client_type}
+                'client_type': client_type, 'form_data': form_data}
 
-    def append_chat_record(self, chat_record: ChatRecord, client_id=None):
+    def append_chat_record(self, chat_record: ChatRecord, client_id=None, asker=None):
         chat_record.problem_text = chat_record.problem_text[0:10240] if chat_record.problem_text is not None else ""
         chat_record.answer_text = chat_record.answer_text[0:40960] if chat_record.problem_text is not None else ""
         is_save = True
@@ -133,8 +139,17 @@ class ChatInfo:
         if self.application.id is not None:
             # 插入数据库
             if not QuerySet(Chat).filter(id=self.chat_id).exists():
+                asker_dict = {'user_name': '游客'}
+                if asker is not None:
+                    if isinstance(asker, str):
+                        asker_dict = {
+                            'user_name': asker
+                        }
+                    elif isinstance(asker, dict):
+                        asker_dict = asker
+
                 Chat(id=self.chat_id, application_id=self.application.id, abstract=chat_record.problem_text[0:1024],
-                     client_id=client_id, update_time=datetime.now()).save()
+                     client_id=client_id, asker=asker_dict, update_time=datetime.now()).save()
             else:
                 Chat.objects.filter(id=self.chat_id).update(update_time=datetime.now())
             # 插入会话记录
@@ -155,6 +170,8 @@ def get_post_handler(chat_info: ChatInfo):
                     padding_problem_text: str = None,
                     client_id=None,
                     **kwargs):
+            answer_list = [[Answer(answer_text, 'ai-chat-node', 'ai-chat-node', 'ai-chat-node', {}, 'ai-chat-node',
+                                   kwargs.get('reasoning_content', '')).to_dict()]]
             chat_record = ChatRecord(id=chat_record_id,
                                      chat_id=chat_id,
                                      problem_text=problem_text,
@@ -162,10 +179,11 @@ def get_post_handler(chat_info: ChatInfo):
                                      details=manage.get_details(),
                                      message_tokens=manage.context['message_tokens'],
                                      answer_tokens=manage.context['answer_tokens'],
-                                     answer_text_list=[answer_text],
+                                     answer_text_list=answer_list,
                                      run_time=manage.context['run_time'],
                                      index=len(chat_info.chat_record_list) + 1)
-            chat_info.append_chat_record(chat_record, client_id)
+            asker = kwargs.get("asker", None)
+            chat_info.append_chat_record(chat_record, client_id, asker=asker)
             # 重新设置缓存
             chat_cache.set(chat_id,
                            chat_info, timeout=60 * 30)
@@ -174,33 +192,42 @@ def get_post_handler(chat_info: ChatInfo):
 
 
 class OpenAIMessage(serializers.Serializer):
-    content = serializers.CharField(required=True, error_messages=ErrMessage.char('内容'))
-    role = serializers.CharField(required=True, error_messages=ErrMessage.char('角色'))
+    content = serializers.CharField(required=True, error_messages=ErrMessage.char(_('content')))
+    role = serializers.CharField(required=True, error_messages=ErrMessage.char(_('Role')))
 
 
 class OpenAIInstanceSerializer(serializers.Serializer):
     messages = serializers.ListField(child=OpenAIMessage())
-    chat_id = serializers.UUIDField(required=False, error_messages=ErrMessage.char("对话id"))
-    re_chat = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("重新生成"))
-    stream = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean("流式输出"))
+    chat_id = serializers.UUIDField(required=False, error_messages=ErrMessage.char(_("Conversation ID")))
+    re_chat = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Regenerate")))
+    stream = serializers.BooleanField(required=False, error_messages=ErrMessage.boolean(_("Streaming Output")))
 
 
 class OpenAIChatSerializer(serializers.Serializer):
-    application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
-    client_id = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端id"))
-    client_type = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端类型"))
+    application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
+    client_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client id")))
+    client_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client Type")))
 
     @staticmethod
     def get_message(instance):
         return instance.get('messages')[-1].get('content')
 
     @staticmethod
-    def generate_chat(chat_id, application_id, message, client_id):
+    def generate_chat(chat_id, application_id, message, client_id, asker=None):
         if chat_id is None:
             chat_id = str(uuid.uuid1())
         chat = QuerySet(Chat).filter(id=chat_id).first()
         if chat is None:
-            Chat(id=chat_id, application_id=application_id, abstract=message[0:1024], client_id=client_id).save()
+            asker_dict = {'user_name': '游客'}
+            if asker is not None:
+                if isinstance(asker, str):
+                    asker_dict = {
+                        'user_name': asker
+                    }
+                elif isinstance(asker, dict):
+                    asker_dict = asker
+            Chat(id=chat_id, application_id=application_id, abstract=message[0:1024], client_id=client_id,
+                 asker=asker_dict).save()
         return chat_id
 
     def chat(self, instance: Dict, with_valid=True):
@@ -214,40 +241,53 @@ class OpenAIChatSerializer(serializers.Serializer):
         application_id = self.data.get('application_id')
         client_id = self.data.get('client_id')
         client_type = self.data.get('client_type')
-        chat_id = self.generate_chat(chat_id, application_id, message, client_id)
+        chat_id = self.generate_chat(chat_id, application_id, message, client_id,
+                                     asker=instance.get('form_data', {}).get("asker"))
         return ChatMessageSerializer(
-            data={'chat_id': chat_id, 'message': message,
-                  're_chat': re_chat,
-                  'stream': stream,
-                  'application_id': application_id,
-                  'client_id': client_id,
-                  'client_type': client_type, 'form_data': instance.get('form_data', {})}).chat(
-            base_to_response=OpenaiToResponse())
+            data={
+                'chat_id': chat_id, 'message': message,
+                're_chat': re_chat,
+                'stream': stream,
+                'application_id': application_id,
+                'client_id': client_id,
+                'client_type': client_type,
+                'form_data': instance.get('form_data', {}),
+                'image_list': instance.get('image_list', []),
+                'document_list': instance.get('document_list', []),
+                'audio_list': instance.get('audio_list', []),
+                'other_list': instance.get('other_list', []),
+            }
+        ).chat(base_to_response=OpenaiToResponse())
 
 
 class ChatMessageSerializer(serializers.Serializer):
-    chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
-    message = serializers.CharField(required=True, error_messages=ErrMessage.char("用户问题"))
-    stream = serializers.BooleanField(required=True, error_messages=ErrMessage.char("是否流式回答"))
-    re_chat = serializers.BooleanField(required=True, error_messages=ErrMessage.char("是否重新回答"))
+    chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
+    message = serializers.CharField(required=True, error_messages=ErrMessage.char(_("User Questions")))
+    stream = serializers.BooleanField(required=True,
+                                      error_messages=ErrMessage.char(_("Is the answer in streaming mode")))
+    re_chat = serializers.BooleanField(required=True, error_messages=ErrMessage.char(_("Do you want to reply again")))
     chat_record_id = serializers.UUIDField(required=False, allow_null=True,
-                                           error_messages=ErrMessage.uuid("对话记录id"))
+                                           error_messages=ErrMessage.uuid(_("Conversation record id")))
 
     node_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
-                                    error_messages=ErrMessage.char("节点id"))
+                                    error_messages=ErrMessage.char(_("Node id")))
 
     runtime_node_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
-                                            error_messages=ErrMessage.char("运行时节点id"))
+                                            error_messages=ErrMessage.char(_("Runtime node id")))
 
-    node_data = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.char("节点参数"))
-    application_id = serializers.UUIDField(required=False, allow_null=True, error_messages=ErrMessage.uuid("应用id"))
-    client_id = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端id"))
-    client_type = serializers.CharField(required=True, error_messages=ErrMessage.char("客户端类型"))
-    form_data = serializers.DictField(required=False, error_messages=ErrMessage.char("全局变量"))
-    image_list = serializers.ListField(required=False, error_messages=ErrMessage.list("图片"))
-    document_list = serializers.ListField(required=False, error_messages=ErrMessage.list("文档"))
-    audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list("音频"))
-    child_node = serializers.DictField(required=False, allow_null=True, error_messages=ErrMessage.dict("子节点"))
+    node_data = serializers.DictField(required=False, allow_null=True,
+                                      error_messages=ErrMessage.char(_("Node parameters")))
+    application_id = serializers.UUIDField(required=False, allow_null=True,
+                                           error_messages=ErrMessage.uuid(_("Application ID")))
+    client_id = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client id")))
+    client_type = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Client Type")))
+    form_data = serializers.DictField(required=False, error_messages=ErrMessage.char(_("Global variables")))
+    image_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("picture")))
+    document_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("document")))
+    audio_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Audio")))
+    other_list = serializers.ListField(required=False, error_messages=ErrMessage.list(_("Other")))
+    child_node = serializers.DictField(required=False, allow_null=True,
+                                       error_messages=ErrMessage.dict(_("Child Nodes")))
 
     def is_valid_application_workflow(self, *, raise_exception=False):
         self.is_valid_intraday_access_num()
@@ -255,7 +295,7 @@ class ChatMessageSerializer(serializers.Serializer):
     def is_valid_chat_id(self, chat_info: ChatInfo):
         if self.data.get('application_id') is not None and self.data.get('application_id') != str(
                 chat_info.application.id):
-            raise ChatException(500, "会话不存在")
+            raise ChatException(500, _("Conversation does not exist"))
 
     def is_valid_intraday_access_num(self):
         if self.data.get('client_type') == AuthenticationType.APPLICATION_ACCESS_TOKEN.value:
@@ -272,7 +312,7 @@ class ChatMessageSerializer(serializers.Serializer):
             application_access_token = QuerySet(ApplicationAccessToken).filter(
                 application_id=self.data.get('application_id')).first()
             if application_access_token.access_num <= access_client.intraday_access_num:
-                raise AppChatNumOutOfBoundsFailed(1002, "访问次数超过今日访问量")
+                raise AppChatNumOutOfBoundsFailed(1002, _("The number of visits exceeds today's visits"))
 
     def is_valid_application_simple(self, *, chat_info: ChatInfo, raise_exception=False):
         self.is_valid_intraday_access_num()
@@ -283,9 +323,9 @@ class ChatMessageSerializer(serializers.Serializer):
         if model is None:
             return chat_info
         if model.status == Status.ERROR:
-            raise ChatException(500, "当前模型不可用")
+            raise ChatException(500, _("The current model is not available"))
         if model.status == Status.DOWNLOAD:
-            raise ChatException(500, "模型正在下载中,请稍后再发起对话")
+            raise ChatException(500, _("The model is downloading, please try again later"))
         return chat_info
 
     def chat_simple(self, chat_info: ChatInfo, base_to_response):
@@ -294,6 +334,7 @@ class ChatMessageSerializer(serializers.Serializer):
         stream = self.data.get('stream')
         client_id = self.data.get('client_id')
         client_type = self.data.get('client_type')
+        form_data = self.data.get("form_data")
         pipeline_manage_builder = PipelineManage.builder()
         # 如果开启了问题优化,则添加上问题优化步骤
         if chat_info.application.problem_optimization:
@@ -315,7 +356,7 @@ class ChatMessageSerializer(serializers.Serializer):
             exclude_paragraph_id_list = list(set(paragraph_id_list))
         # 构建运行参数
         params = chat_info.to_pipeline_manage_params(message, get_post_handler(chat_info), exclude_paragraph_id_list,
-                                                     client_id, client_type, stream)
+                                                     client_id, client_type, stream, form_data)
         # 运行流水线作业
         pipeline_message.run(params)
         return pipeline_message.context['chat_result']
@@ -329,7 +370,7 @@ class ChatMessageSerializer(serializers.Serializer):
                 return chat_record_list[-1]
         chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_info.chat_id).first()
         if chat_record is None:
-            raise ChatException(500, "对话纪要不存在")
+            raise ChatException(500, _("Conversation record does not exist"))
         chat_record = QuerySet(ChatRecord).filter(id=chat_record_id).first()
         return chat_record
 
@@ -343,6 +384,7 @@ class ChatMessageSerializer(serializers.Serializer):
         image_list = self.data.get('image_list')
         document_list = self.data.get('document_list')
         audio_list = self.data.get('audio_list')
+        other_list = self.data.get('other_list')
         user_id = chat_info.application.user_id
         chat_record_id = self.data.get('chat_record_id')
         chat_record = None
@@ -359,7 +401,7 @@ class ChatMessageSerializer(serializers.Serializer):
                                            'client_id': client_id,
                                            'client_type': client_type,
                                            'user_id': user_id}, WorkFlowPostHandler(chat_info, client_id, client_type),
-                                          base_to_response, form_data, image_list, document_list, audio_list,
+                                          base_to_response, form_data, image_list, document_list, audio_list, other_list,
                                           self.data.get('runtime_node_id'),
                                           self.data.get('node_data'), chat_record, self.data.get('child_node'))
         r = work_flow_manage.run()
@@ -389,10 +431,10 @@ class ChatMessageSerializer(serializers.Serializer):
     def re_open_chat(self, chat_id: str):
         chat = QuerySet(Chat).filter(id=chat_id).first()
         if chat is None:
-            raise ChatException(500, "会话不存在")
+            raise ChatException(500, _("Conversation does not exist"))
         application = QuerySet(Application).filter(id=chat.application_id).first()
         if application is None:
-            raise ChatException(500, "应用不存在")
+            raise ChatException(500, _("Application does not exist"))
         if application.type == ApplicationTypeChoices.SIMPLE:
             return self.re_open_chat_simple(chat_id, application)
         else:
@@ -422,7 +464,7 @@ class ChatMessageSerializer(serializers.Serializer):
         work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=application.id).order_by(
             '-create_time')[0:1].first()
         if work_flow_version is None:
-            raise ChatException(500, "应用未发布,请发布后再使用")
+            raise ChatException(500, _("The application has not been published. Please use it after publishing."))
 
         chat_info = ChatInfo(chat_id, [], [], application, work_flow_version)
         chat_record_list = list(QuerySet(ChatRecord).filter(chat_id=chat_id).order_by('-create_time')[0:5])

apps/application/serializers/chat_serializers.py

@@ -13,15 +13,17 @@ import uuid
 from functools import reduce
 from io import BytesIO
 from typing import Dict
-
+import pytz
 import openpyxl
 from django.core import validators
 from django.core.cache import caches
 from django.db import transaction, models
 from django.db.models import QuerySet, Q
 from django.http import StreamingHttpResponse
+from django.utils.translation import gettext_lazy as _, gettext
 from openpyxl.cell.cell import ILLEGAL_CHARACTERS_RE
 from rest_framework import serializers
+from rest_framework.utils.formatting import lazy_format
 
 from application.flow.workflow_manage import Flow
 from application.models import Chat, Application, ApplicationDatasetMapping, VoteChoices, ChatRecord, WorkFlowVersion, \
@@ -44,13 +46,14 @@ from embedding.task import embedding_by_paragraph, embedding_by_paragraph_list
 from setting.models import Model
 from setting.models_provider import get_model_credential
 from smartdoc.conf import PROJECT_DIR
+from smartdoc.settings import TIME_ZONE
 
 chat_cache = caches['chat_cache']
 
 
 class WorkFlowSerializers(serializers.Serializer):
-    nodes = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid("节点"))
-    edges = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid("连线"))
+    nodes = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid(_("node")))
+    edges = serializers.ListSerializer(child=serializers.DictField(), error_messages=ErrMessage.uuid(_("Connection")))
 
 
 def valid_model_params_setting(model_id, model_params_setting):
@@ -64,10 +67,14 @@ def valid_model_params_setting(model_id, model_params_setting):
     credential.get_model_params_setting_form(model.model_name).valid_form(model_params_setting)
 
 
+class ReAbstractInstanceSerializers(serializers.Serializer):
+    abstract = serializers.CharField(required=True, error_messages=ErrMessage.char(_("abstract")))
+
+
 class ChatSerializers(serializers.Serializer):
     class Operate(serializers.Serializer):
-        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
+        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
 
         def logic_delete(self, with_valid=True):
             if with_valid:
@@ -76,6 +83,15 @@ class ChatSerializers(serializers.Serializer):
                 is_deleted=True)
             return True
 
+        def re_abstract(self, instance, with_valid=True):
+            if with_valid:
+                self.is_valid(raise_exception=True)
+                ReAbstractInstanceSerializers(data=instance).is_valid(raise_exception=True)
+
+            QuerySet(Chat).filter(id=self.data.get('chat_id'), application_id=self.data.get('application_id')).update(
+                abstract=instance.get('abstract'))
+            return True
+
         def delete(self, with_valid=True):
             if with_valid:
                 self.is_valid(raise_exception=True)
@@ -83,8 +99,8 @@ class ChatSerializers(serializers.Serializer):
             return True
 
     class ClientChatHistory(serializers.Serializer):
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
-        client_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("客户端id"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
+        client_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Client id")))
 
         def page(self, current_page: int, page_size: int, with_valid=True):
             if with_valid:
@@ -96,18 +112,18 @@ class ChatSerializers(serializers.Serializer):
             return page_search(current_page, page_size, queryset, lambda row: ChatSerializerModel(row).data)
 
     class Query(serializers.Serializer):
-        abstract = serializers.CharField(required=False, error_messages=ErrMessage.char("摘要"))
-        start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("开始时间"))
-        end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date("结束时间"))
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
+        abstract = serializers.CharField(required=False, error_messages=ErrMessage.char(_("summary")))
+        start_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("Start time")))
+        end_time = serializers.DateField(format='%Y-%m-%d', error_messages=ErrMessage.date(_("End time")))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
         min_star = serializers.IntegerField(required=False, min_value=0,
-                                            error_messages=ErrMessage.integer("最小点赞数"))
+                                            error_messages=ErrMessage.integer(_("Minimum number of likes")))
         min_trample = serializers.IntegerField(required=False, min_value=0,
-                                               error_messages=ErrMessage.integer("最小点踩数"))
-        comparer = serializers.CharField(required=False, error_messages=ErrMessage.char("比较器"), validators=[
+                                               error_messages=ErrMessage.integer(_("Minimum number of clicks")))
+        comparer = serializers.CharField(required=False, error_messages=ErrMessage.char(_("Comparator")), validators=[
             validators.RegexValidator(regex=re.compile("^and|or$"),
-                                      message="只支持and|or", code=500)
+                                      message=_("Only supports and|or"), code=500)
         ])
 
         def get_end_time(self):
@@ -158,7 +174,14 @@ class ChatSerializers(serializers.Serializer):
                 condition = base_condition & min_trample_query
             else:
                 condition = base_condition
-            return query_set.filter(condition).order_by("-application_chat.update_time")
+            inner_queryset = QuerySet(Chat).filter(application_id=self.data.get("application_id"))
+            if 'abstract' in self.data and self.data.get('abstract') is not None:
+                inner_queryset = inner_queryset.filter(abstract__icontains=self.data.get('abstract'))
+
+            return {
+                'inner_queryset': inner_queryset,
+                'default_queryset': query_set.filter(condition).order_by("-application_chat.update_time")
+            }
 
         def list(self, with_valid=True):
             if with_valid:
@@ -193,7 +216,6 @@ class ChatSerializers(serializers.Serializer):
                                                                                               [])) for
                  key, node in search_dataset_node_list])
             improve_paragraph_list = row.get('improve_paragraph_list')
-
             vote_status_map = {'-1': '未投票', '0': '赞同', '1': '反对'}
             return [str(row.get('chat_id')), row.get('abstract'), row.get('problem_text'), padding_problem_text,
                     row.get('answer_text'), vote_status_map.get(row.get('vote_status')), reference_paragraph_len,
@@ -201,8 +223,9 @@ class ChatSerializers(serializers.Serializer):
                     "\n".join([
                         f"{improve_paragraph_list[index].get('title')}\n{improve_paragraph_list[index].get('content')}"
                         for index in range(len(improve_paragraph_list))]),
+                    row.get('asker').get('user_name'),
                     row.get('message_tokens') + row.get('answer_tokens'), row.get('run_time'),
-                    str(row.get('create_time').strftime('%Y-%m-%d %H:%M:%S')
+                    str(row.get('create_time').astimezone(pytz.timezone(TIME_ZONE)).strftime('%Y-%m-%d %H:%M:%S')
                         )]
 
         def export(self, data, with_valid=True):
@@ -222,9 +245,14 @@ class ChatSerializers(serializers.Serializer):
                 worksheet = workbook.active
                 worksheet.title = 'Sheet1'
 
-                headers = ['会话ID', '摘要', '用户问题', '优化后问题', '回答', '用户反馈', '引用分段数',
-                           '分段标题+内容',
-                           '标注', '消耗tokens', '耗时（s）', '提问时间']
+                headers = [gettext('Conversation ID'), gettext('summary'), gettext('User Questions'),
+                           gettext('Problem after optimization'),
+                           gettext('answer'), gettext('User feedback'),
+                           gettext('Reference segment number'),
+                           gettext('Section title + content'),
+                           gettext('Annotation'), gettext('USER'), gettext('Consuming tokens'),
+                           gettext('Time consumed (s)'),
+                           gettext('Question Time')]
                 for col_idx, header in enumerate(headers, 1):
                     cell = worksheet.cell(row=1, column=col_idx)
                     cell.value = header
@@ -237,6 +265,10 @@ class ChatSerializers(serializers.Serializer):
                             cell = worksheet.cell(row=row_idx, column=col_idx)
                             if isinstance(value, str):
                                 value = re.sub(ILLEGAL_CHARACTERS_RE, '', value)
+                            if isinstance(value, datetime.datetime):
+                                eastern = pytz.timezone(TIME_ZONE)
+                                c = datetime.timezone(eastern._utcoffset)
+                                value = value.astimezone(c)
                             cell.value = value
 
                 output = BytesIO()
@@ -259,16 +291,16 @@ class ChatSerializers(serializers.Serializer):
                                       with_table_name=False)
 
     class OpenChat(serializers.Serializer):
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
             user_id = self.data.get('user_id')
             application_id = self.data.get('application_id')
             if not QuerySet(Application).filter(id=application_id, user_id=user_id).exists():
-                raise AppApiException(500, '应用不存在')
+                raise AppApiException(500, gettext('Application does not exist'))
 
         def open(self):
             self.is_valid(raise_exception=True)
@@ -286,7 +318,9 @@ class ChatSerializers(serializers.Serializer):
             work_flow_version = QuerySet(WorkFlowVersion).filter(application_id=application_id).order_by(
                 '-create_time')[0:1].first()
             if work_flow_version is None:
-                raise AppApiException(500, "应用未发布,请发布后再使用")
+                raise AppApiException(500,
+                                      gettext(
+                                          "The application has not been published. Please use it after publishing."))
             chat_cache.set(chat_id,
                            ChatInfo(chat_id, [],
                                     [],
@@ -309,8 +343,8 @@ class ChatSerializers(serializers.Serializer):
             return chat_id
 
     class OpenWorkFlowChat(serializers.Serializer):
-        work_flow = WorkFlowSerializers(error_messages=ErrMessage.uuid("工作流"))
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        work_flow = WorkFlowSerializers(error_messages=ErrMessage.uuid(_("Workflow")))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
         def open(self):
             self.is_valid(raise_exception=True)
@@ -332,26 +366,29 @@ class ChatSerializers(serializers.Serializer):
             return chat_id
 
     class OpenTempChat(serializers.Serializer):
-        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("用户id"))
+        user_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("User ID")))
 
         id = serializers.UUIDField(required=False, allow_null=True,
-                                   error_messages=ErrMessage.uuid("应用id"))
+                                   error_messages=ErrMessage.uuid(_("Application ID")))
         model_id = serializers.CharField(required=False, allow_null=True, allow_blank=True,
-                                         error_messages=ErrMessage.uuid("模型id"))
+                                         error_messages=ErrMessage.uuid(_("Model id")))
 
         multiple_rounds_dialogue = serializers.BooleanField(required=True,
-                                                            error_messages=ErrMessage.boolean("多轮会话"))
+                                                            error_messages=ErrMessage.boolean(
+                                                                _("Multi-round conversation")))
 
         dataset_id_list = serializers.ListSerializer(required=False, child=serializers.UUIDField(required=True),
-                                                     error_messages=ErrMessage.list("关联数据集"))
+                                                     error_messages=ErrMessage.list(_("Related Datasets")))
         # 数据集相关设置
         dataset_setting = DatasetSettingSerializer(required=True)
         # 模型相关设置
         model_setting = ModelSettingSerializer(required=True)
         # 问题补全
-        problem_optimization = serializers.BooleanField(required=True, error_messages=ErrMessage.boolean("问题补全"))
+        problem_optimization = serializers.BooleanField(required=True,
+                                                        error_messages=ErrMessage.boolean(_("Question completion")))
         # 模型相关设置
-        model_params_setting = serializers.JSONField(required=False, error_messages=ErrMessage.dict("模型参数相关设置"))
+        model_params_setting = serializers.JSONField(required=False,
+                                                     error_messages=ErrMessage.dict(_("Model parameter settings")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
@@ -365,7 +402,7 @@ class ChatSerializers(serializers.Serializer):
             if 'id' in self.data and self.data.get('id') is not None:
                 application = QuerySet(Application).filter(id=self.data.get('id')).first()
                 if application is None:
-                    raise AppApiException(500, "应用不存在")
+                    raise AppApiException(500, gettext("Application does not exist"))
                 return application.user_id
             return self.data.get('user_id')
 
@@ -408,18 +445,19 @@ class ChatSerializerModel(serializers.ModelSerializer):
 
 class ChatRecordSerializer(serializers.Serializer):
     class Operate(serializers.Serializer):
-        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
-        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("应用id"))
-        chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
+        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
+        application_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Application ID")))
+        chat_record_id = serializers.UUIDField(required=True,
+                                               error_messages=ErrMessage.uuid(_("Conversation record id")))
 
         def is_valid(self, *, current_role=None, raise_exception=False):
             super().is_valid(raise_exception=True)
             application_access_token = QuerySet(ApplicationAccessToken).filter(
                 application_id=self.data.get('application_id')).first()
             if application_access_token is None:
-                raise AppApiException(500, '不存在的应用认证信息')
+                raise AppApiException(500, gettext('Application authentication information does not exist'))
             if not application_access_token.show_source and current_role == RoleConstants.APPLICATION_ACCESS_TOKEN.value:
-                raise AppApiException(500, '未开启显示知识来源')
+                raise AppApiException(500, gettext('Displaying knowledge sources is not enabled'))
 
         def get_chat_record(self):
             chat_record_id = self.data.get('chat_record_id')
@@ -437,13 +475,13 @@ class ChatRecordSerializer(serializers.Serializer):
                 self.is_valid(current_role=current_role, raise_exception=True)
             chat_record = self.get_chat_record()
             if chat_record is None:
-                raise AppApiException(500, "对话不存在")
+                raise AppApiException(500, gettext("Conversation does not exist"))
             return ChatRecordSerializer.Query.reset_chat_record(chat_record)
 
     class Query(serializers.Serializer):
         application_id = serializers.UUIDField(required=True)
         chat_id = serializers.UUIDField(required=True)
-        order_asc = serializers.BooleanField(required=False)
+        order_asc = serializers.BooleanField(required=False, allow_null=True)
 
         def list(self, with_valid=True):
             if with_valid:
@@ -499,23 +537,27 @@ class ChatRecordSerializer(serializers.Serializer):
             return page
 
     class Vote(serializers.Serializer):
-        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
+        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
 
-        chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
+        chat_record_id = serializers.UUIDField(required=True,
+                                               error_messages=ErrMessage.uuid(_("Conversation record id")))
 
-        vote_status = serializers.ChoiceField(choices=VoteChoices.choices, error_messages=ErrMessage.uuid("投标状态"))
+        vote_status = serializers.ChoiceField(choices=VoteChoices.choices,
+                                              error_messages=ErrMessage.uuid(_("Bidding Status")))
 
         @transaction.atomic
         def vote(self, with_valid=True):
             if with_valid:
                 self.is_valid(raise_exception=True)
             if not try_lock(self.data.get('chat_record_id')):
-                raise AppApiException(500, "正在对当前会话纪要进行投票中,请勿重复发送请求")
+                raise AppApiException(500,
+                                      gettext(
+                                          "Voting on the current session minutes, please do not send repeated requests"))
             try:
                 chat_record_details_model = QuerySet(ChatRecord).get(id=self.data.get('chat_record_id'),
                                                                      chat_id=self.data.get('chat_id'))
                 if chat_record_details_model is None:
-                    raise AppApiException(500, "不存在的对话 chat_record_id")
+                    raise AppApiException(500, gettext("Non-existent conversation chat_record_id"))
                 vote_status = self.data.get("vote_status")
                 if chat_record_details_model.vote_status == VoteChoices.UN_VOTE:
                     if vote_status == VoteChoices.STAR:
@@ -532,18 +574,18 @@ class ChatRecordSerializer(serializers.Serializer):
                         chat_record_details_model.vote_status = VoteChoices.UN_VOTE
                         chat_record_details_model.save()
                     else:
-                        raise AppApiException(500, "已经投票过,请先取消后再进行投票")
+                        raise AppApiException(500, gettext("Already voted, please cancel first and then vote again"))
             finally:
                 un_lock(self.data.get('chat_record_id'))
             return True
 
     class ImproveSerializer(serializers.Serializer):
         title = serializers.CharField(required=False, max_length=256, allow_null=True, allow_blank=True,
-                                      error_messages=ErrMessage.char("段落标题"))
-        content = serializers.CharField(required=True, error_messages=ErrMessage.char("段落内容"))
+                                      error_messages=ErrMessage.char(_("Section title")))
+        content = serializers.CharField(required=True, error_messages=ErrMessage.char(_("Paragraph content")))
 
         problem_text = serializers.CharField(required=False, max_length=256, allow_null=True, allow_blank=True,
-                                             error_messages=ErrMessage.char("问题"))
+                                             error_messages=ErrMessage.char(_("question")))
 
     class ParagraphModel(serializers.ModelSerializer):
         class Meta:
@@ -551,9 +593,10 @@ class ChatRecordSerializer(serializers.Serializer):
             fields = "__all__"
 
     class ChatRecordImprove(serializers.Serializer):
-        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
+        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
 
-        chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
+        chat_record_id = serializers.UUIDField(required=True,
+                                               error_messages=ErrMessage.uuid(_("Conversation record id")))
 
         def get(self, with_valid=True):
             if with_valid:
@@ -562,7 +605,7 @@ class ChatRecordSerializer(serializers.Serializer):
             chat_id = self.data.get('chat_id')
             chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_id).first()
             if chat_record is None:
-                raise AppApiException(500, '不存在的对话记录')
+                raise AppApiException(500, gettext('Conversation record does not exist'))
             if chat_record.improve_paragraph_id_list is None or len(chat_record.improve_paragraph_id_list) == 0:
                 return []
 
@@ -576,19 +619,20 @@ class ChatRecordSerializer(serializers.Serializer):
             return [ChatRecordSerializer.ParagraphModel(p).data for p in paragraph_model_list]
 
     class Improve(serializers.Serializer):
-        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
+        chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
 
-        chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
+        chat_record_id = serializers.UUIDField(required=True,
+                                               error_messages=ErrMessage.uuid(_("Conversation record id")))
 
-        dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("知识库id"))
+        dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Knowledge base id")))
 
-        document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("文档id"))
+        document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Document id")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
             if not QuerySet(Document).filter(id=self.data.get('document_id'),
                                              dataset_id=self.data.get('dataset_id')).exists():
-                raise AppApiException(500, "文档id不正确")
+                raise AppApiException(500, gettext("The document id is incorrect"))
 
         @staticmethod
         def post_embedding_paragraph(chat_record, paragraph_id, dataset_id):
@@ -607,7 +651,7 @@ class ChatRecordSerializer(serializers.Serializer):
             chat_id = self.data.get('chat_id')
             chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_id).first()
             if chat_record is None:
-                raise AppApiException(500, '不存在的对话记录')
+                raise AppApiException(500, gettext('Conversation record does not exist'))
 
             document_id = self.data.get("document_id")
             dataset_id = self.data.get("dataset_id")
@@ -634,15 +678,16 @@ class ChatRecordSerializer(serializers.Serializer):
             return ChatRecordSerializerModel(chat_record).data, paragraph.id, dataset_id
 
         class Operate(serializers.Serializer):
-            chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话id"))
+            chat_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Conversation ID")))
 
-            chat_record_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("对话记录id"))
+            chat_record_id = serializers.UUIDField(required=True,
+                                                   error_messages=ErrMessage.uuid(_("Conversation record id")))
 
-            dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("知识库id"))
+            dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Knowledge base id")))
 
-            document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("文档id"))
+            document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Document id")))
 
-            paragraph_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("段落id"))
+            paragraph_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Paragraph id")))
 
             def delete(self, with_valid=True):
                 if with_valid:
@@ -655,9 +700,12 @@ class ChatRecordSerializer(serializers.Serializer):
                 paragraph_id = self.data.get('paragraph_id')
                 chat_record = QuerySet(ChatRecord).filter(id=chat_record_id, chat_id=chat_id).first()
                 if chat_record is None:
-                    raise AppApiException(500, '不存在的对话记录')
+                    raise AppApiException(500, gettext('Conversation record does not exist'))
                 if not chat_record.improve_paragraph_id_list.__contains__(uuid.UUID(paragraph_id)):
-                    raise AppApiException(500, f'段落id错误,当前对话记录不存在【{paragraph_id}】段落id')
+                    message = lazy_format(
+                        _('The paragraph id is wrong. The current conversation record does not exist. [{paragraph_id}] paragraph id'),
+                        paragraph_id=paragraph_id)
+                    raise AppApiException(500, message)
                 chat_record.improve_paragraph_id_list = [row for row in chat_record.improve_paragraph_id_list if
                                                          str(row) != paragraph_id]
                 chat_record.save()
@@ -667,15 +715,15 @@ class ChatRecordSerializer(serializers.Serializer):
                 return o.delete()
 
     class PostImprove(serializers.Serializer):
-        dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("知识库id"))
-        document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid("文档id"))
+        dataset_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Knowledge base id")))
+        document_id = serializers.UUIDField(required=True, error_messages=ErrMessage.uuid(_("Document id")))
         chat_ids = serializers.ListSerializer(child=serializers.UUIDField(), required=True,
-                                              error_messages=ErrMessage.list("对话id"))
+                                              error_messages=ErrMessage.list(_("Conversation ID")))
 
         def is_valid(self, *, raise_exception=False):
             super().is_valid(raise_exception=True)
             if not Document.objects.filter(id=self.data['document_id'], dataset_id=self.data['dataset_id']).exists():
-                raise AppApiException(500, "文档id不正确")
+                raise AppApiException(500, gettext("The document id is incorrect"))
 
         @staticmethod
         def post_embedding_paragraph(paragraph_ids, dataset_id):
@@ -694,7 +742,7 @@ class ChatRecordSerializer(serializers.Serializer):
             # 获取所有聊天记录
             chat_record_list = list(ChatRecord.objects.filter(chat_id__in=chat_ids))
             if len(chat_record_list) < len(chat_ids):
-                raise AppApiException(500, "存在不存在的对话记录")
+                raise AppApiException(500, gettext("Conversation records that do not exist"))
 
             # 批量创建段落和问题映射
             paragraphs = []

apps/application/sql/export_application_chat.sql

@@ -10,7 +10,8 @@ SELECT
     application_chat_record_temp."index" as "index",
     application_chat_record_temp.improve_paragraph_list  as improve_paragraph_list,
     application_chat_record_temp.vote_status as vote_status,
-    application_chat_record_temp.create_time as create_time
+    application_chat_record_temp.create_time as create_time,
+    	to_json(application_chat.asker) as asker
 FROM
 	application_chat application_chat
 	LEFT JOIN (
@@ -22,6 +23,8 @@ FROM
 		chat_id
 	FROM
 		application_chat_record
+	WHERE chat_id IN (
+	  SELECT id FROM application_chat ${inner_queryset})
 	GROUP BY
 		application_chat_record.chat_id
 	) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
@@ -34,4 +37,5 @@ FROM
 		END as improve_paragraph_list
 		FROM
 		application_chat_record application_chat_record
-	) application_chat_record_temp ON application_chat_record_temp.chat_id = application_chat."id"
+	) application_chat_record_temp ON application_chat_record_temp.chat_id = application_chat."id"
+	${default_queryset}

apps/application/sql/list_application_chat.sql

@@ -1,5 +1,5 @@
 SELECT
-	*
+	*,to_json(asker) as asker
 FROM
 	application_chat application_chat
 	LEFT JOIN (
@@ -11,6 +11,9 @@ FROM
 		chat_id
 	FROM
 		application_chat_record
+	WHERE chat_id IN (
+	  SELECT id FROM application_chat ${inner_queryset})
 	GROUP BY
 	application_chat_record.chat_id
-	) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
+	) chat_record_temp ON application_chat."id" = chat_record_temp.chat_id
+${default_queryset}

apps/application/swagger_api/application_api.py

@@ -9,6 +9,7 @@
 from drf_yasg import openapi
 
 from common.mixins.api_mixin import ApiMixin
+from django.utils.translation import gettext_lazy as _
 
 
 class ApplicationApi(ApiMixin):
@@ -20,7 +21,7 @@ class ApplicationApi(ApiMixin):
                                   in_=openapi.IN_FORM,
                                   type=openapi.TYPE_FILE,
                                   required=True,
-                                  description='上传文件')
+                                  description=_('Upload files'))
             ]
 
     class Authentication(ApiMixin):
@@ -30,12 +31,22 @@ class ApplicationApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=['access_token', ],
                 properties={
-                    'access_token': openapi.Schema(type=openapi.TYPE_STRING, title="应用认证token",
-                                                   description="应用认证token"),
+                    'access_token': openapi.Schema(type=openapi.TYPE_STRING,
+                                                   title=_("Application authentication token"),
+                                                   description=_("Application authentication token")),
 
                 }
             )
 
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_STRING,
+                title=_("Application authentication token"),
+                description=_("Application authentication token"),
+                default="token"
+            )
+
     @staticmethod
     def get_response_body_api():
         return openapi.Schema(
@@ -43,27 +54,35 @@ class ApplicationApi(ApiMixin):
             required=['id', 'name', 'desc', 'model_id', 'dialogue_number', 'user_id', 'status', 'create_time',
                       'update_time'],
             properties={
-                'id': openapi.Schema(type=openapi.TYPE_STRING, title="", description="主键id"),
-                'name': openapi.Schema(type=openapi.TYPE_STRING, title="应用名称", description="应用名称"),
-                'desc': openapi.Schema(type=openapi.TYPE_STRING, title="应用描述", description="应用描述"),
-                'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
-                "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER, title="多轮对话次数",
-                                                  description="多轮对话次数"),
-                'prologue': openapi.Schema(type=openapi.TYPE_STRING, title="开场白", description="开场白"),
+                'id': openapi.Schema(type=openapi.TYPE_STRING, title="", description=_("Primary key id")),
+                'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
+                                       description=_("Application Name")),
+                'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
+                                       description=_("Application Description")),
+                'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"), description=_("Model id")),
+                "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
+                                                  title=_("Number of multi-round conversations"),
+                                                  description=_("Number of multi-round conversations")),
+                'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
+                                           description=_("Opening remarks")),
                 'example': openapi.Schema(type=openapi.TYPE_ARRAY, items=openapi.Schema(type=openapi.TYPE_STRING),
-                                          title="示例列表", description="示例列表"),
-                'user_id': openapi.Schema(type=openapi.TYPE_STRING, title="所属用户", description="所属用户"),
+                                          title=_("Example List"), description=_("Example List")),
+                'user_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Affiliation user"),
+                                          description=_("Affiliation user")),
 
-                'status': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否发布", description='是否发布'),
+                'status': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is publish"), description=_('Is publish')),
 
-                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间", description='创建时间'),
+                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
+                                              description=_('Creation time')),
 
-                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间", description='修改时间'),
+                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
+                                              description=_('Modification time')),
 
                 'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
                                                   items=openapi.Schema(type=openapi.TYPE_STRING),
-                                                  title="关联知识库Id列表",
-                                                  description="关联知识库Id列表(查询详情的时候返回)")
+                                                  title=_("List of associated knowledge base IDs"),
+                                                  description=_(
+                                                      "List of associated knowledge base IDs (returned when querying details)"))
             }
         )
 
@@ -74,11 +93,11 @@ class ApplicationApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id'),
+                                      description=_('Application ID')),
                     openapi.Parameter(name='model_type', in_=openapi.IN_QUERY,
                                       type=openapi.TYPE_STRING,
                                       required=False,
-                                      description='模型类型'),
+                                      description=_('Model Type')),
                     ]
 
     class ApiKey(ApiMixin):
@@ -88,7 +107,7 @@ class ApplicationApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id')
+                                      description=_('Application ID'))
 
                     ]
 
@@ -99,12 +118,12 @@ class ApplicationApi(ApiMixin):
                                           in_=openapi.IN_PATH,
                                           type=openapi.TYPE_STRING,
                                           required=True,
-                                          description='应用id'),
+                                          description=_('Application ID')),
                         openapi.Parameter(name='api_key_id',
                                           in_=openapi.IN_PATH,
                                           type=openapi.TYPE_STRING,
                                           required=True,
-                                          description='应用api_key id')
+                                          description=_('Application api_key id'))
                         ]
 
             @staticmethod
@@ -113,11 +132,33 @@ class ApplicationApi(ApiMixin):
                     type=openapi.TYPE_OBJECT,
                     required=[],
                     properties={
-                        'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否激活",
-                                                    description="是否激活"),
-                        'allow_cross_domain': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否允许跨域",
-                                                             description="是否允许跨域"),
-                        'cross_domain_list': openapi.Schema(type=openapi.TYPE_ARRAY, title='跨域列表',
+                        'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
+                                                    description=_("Is activation")),
+                        'allow_cross_domain': openapi.Schema(type=openapi.TYPE_BOOLEAN,
+                                                             title=_("Is cross-domain allowed"),
+                                                             description=_("Is cross-domain allowed")),
+                        'cross_domain_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_('Cross-domain list'),
+                                                            items=openapi.Schema(type=openapi.TYPE_STRING))
+                    }
+                )
+
+            @staticmethod
+            def get_response_body_api():
+                return openapi.Schema(
+                    type=openapi.TYPE_OBJECT,
+                    properties={
+                        'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
+                                             description=_("Primary key id")),
+                        'secret_key': openapi.Schema(type=openapi.TYPE_STRING, title=_("Secret key"),
+                                                     description=_("Secret key")),
+                        'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
+                                                    description=_("Is activation")),
+                        'application_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application ID"),
+                                                         description=_("Application ID")),
+                        'allow_cross_domain': openapi.Schema(type=openapi.TYPE_BOOLEAN,
+                                                             title=_("Is cross-domain allowed"),
+                                                             description=_("Is cross-domain allowed")),
+                        'cross_domain_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_('Cross-domain list'),
                                                             items=openapi.Schema(type=openapi.TYPE_STRING))
                     }
                 )
@@ -129,7 +170,7 @@ class ApplicationApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id')
+                                      description=_('Application ID'))
 
                     ]
 
@@ -139,18 +180,55 @@ class ApplicationApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=[],
                 properties={
-                    'access_token_reset': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重置Token",
-                                                         description="重置Token"),
+                    'access_token_reset': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Reset Token"),
+                                                         description=_("Reset Token")),
 
-                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否激活", description="是否激活"),
-                    'access_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="访问次数", description="访问次数"),
-                    'white_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否开启白名单",
-                                                   description="是否开启白名单"),
+                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
+                                                description=_("Is activation")),
+                    'access_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of visits"),
+                                                 description=_("Number of visits")),
+                    'white_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Whether to enable whitelist"),
+                                                   description=_("Whether to enable whitelist")),
                     'white_list': openapi.Schema(type=openapi.TYPE_ARRAY,
-                                                 items=openapi.Schema(type=openapi.TYPE_STRING), title="白名单列表",
-                                                 description="白名单列表"),
-                    'show_source': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否显示知识来源",
-                                                  description="是否显示知识来源"),
+                                                 items=openapi.Schema(type=openapi.TYPE_STRING), title=_("Whitelist"),
+                                                 description=_("Whitelist")),
+                    'show_source': openapi.Schema(type=openapi.TYPE_BOOLEAN,
+                                                  title=_("Whether to display knowledge sources"),
+                                                  description=_("Whether to display knowledge sources")),
+                    'language': openapi.Schema(type=openapi.TYPE_STRING,
+                                               title=_("language"),
+                                               description=_("language"))
+                }
+            )
+
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                required=[],
+                properties={
+                    'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
+                                         description=_("Primary key id")),
+                    'access_token': openapi.Schema(type=openapi.TYPE_STRING, title=_("Access Token"),
+                                                   description=_("Access Token")),
+                    'access_token_reset': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Reset Token"),
+                                                         description=_("Reset Token")),
+
+                    'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is activation"),
+                                                description=_("Is activation")),
+                    'access_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of visits"),
+                                                 description=_("Number of visits")),
+                    'white_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Whether to enable whitelist"),
+                                                   description=_("Whether to enable whitelist")),
+                    'white_list': openapi.Schema(type=openapi.TYPE_ARRAY,
+                                                 items=openapi.Schema(type=openapi.TYPE_STRING), title=_("Whitelist"),
+                                                 description=_("Whitelist")),
+                    'show_source': openapi.Schema(type=openapi.TYPE_BOOLEAN,
+                                                  title=_("Whether to display knowledge sources"),
+                                                  description=_("Whether to display knowledge sources")),
+                    'language': openapi.Schema(type=openapi.TYPE_STRING,
+                                               title=_("language"),
+                                               description=_("language"))
                 }
             )
 
@@ -161,37 +239,46 @@ class ApplicationApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=[],
                 properties={
-                    'name': openapi.Schema(type=openapi.TYPE_STRING, title="应用名称", description="应用名称"),
-                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title="应用描述", description="应用描述"),
-                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
-                    "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER, title="多轮对话次数",
-                                                      description="多轮对话次数"),
-                    'prologue': openapi.Schema(type=openapi.TYPE_STRING, title="开场白", description="开场白"),
+                    'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
+                                           description=_("Application Name")),
+                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
+                                           description=_("Application Description")),
+                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"),
+                                               description=_("Model id")),
+                    "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
+                                                      title=_("Number of multi-round conversations"),
+                                                      description=_("Number of multi-round conversations")),
+                    'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
+                                               description=_("Opening remarks")),
                     'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
                                                       items=openapi.Schema(type=openapi.TYPE_STRING),
-                                                      title="关联知识库Id列表", description="关联知识库Id列表"),
+                                                      title=_("List of associated knowledge base IDs"),
+                                                      description=_("List of associated knowledge base IDs")),
                     'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
                     'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
-                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="问题优化",
-                                                           description="是否开启问题优化", default=True),
+                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem Optimization"),
+                                                           description=_("Whether to enable problem optimization"),
+                                                           default=True),
                     'icon': openapi.Schema(type=openapi.TYPE_STRING, title="icon",
                                            description="icon", default="/ui/favicon.ico"),
-                    'type': openapi.Schema(type=openapi.TYPE_STRING, title="应用类型",
-                                           description="应用类型 简易:SIMPLE|工作流:WORK_FLOW"),
+                    'type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Type"),
+                                           description=_("Application Type   SIMPLE |  WORK_FLOW")),
                     'work_flow': ApplicationApi.WorkFlow.get_request_body_api(),
-                    'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING, title='问题优化提示词',
-                                                                  description="问题优化提示词",
-                                                                  default="()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中"),
-                    'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音模型ID",
-                                                   description="文字转语音模型ID"),
-                    'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字模型id",
-                                                   description="语音转文字模型id"),
-                    'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
-                                                       description="语音转文字是否开启"),
-                    'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
-                                                       description="语音转文字是否开启"),
-                    'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音类型",
-                                               description="文字转语音类型")
+                    'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING,
+                                                                  title=_('Question optimization tips'),
+                                                                  description=_("Question optimization tips"),
+                                                                  default=_(
+                                                                      "() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")),
+                    'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech model ID"),
+                                                   description=_("Text-to-speech model ID")),
+                    'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Speech-to-text model id"),
+                                                   description=_("Speech-to-text model id")),
+                    'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is speech-to-text enabled"),
+                                                       description=_("Is speech-to-text enabled")),
+                    'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is text-to-speech enabled"),
+                                                       description=_("Is text-to-speech enabled")),
+                    'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech type"),
+                                               description=_("Text-to-speech type"))
 
                 }
             )
@@ -204,11 +291,11 @@ class ApplicationApi(ApiMixin):
                 required=[''],
                 properties={
                     'nodes': openapi.Schema(type=openapi.TYPE_ARRAY, items=openapi.Schema(type=openapi.TYPE_OBJECT),
-                                            title="节点列表", description="节点列表",
+                                            title=_("Node List"), description=_("Node List"),
                                             default=[]),
                     'edges': openapi.Schema(type=openapi.TYPE_ARRAY, items=openapi.Schema(type=openapi.TYPE_OBJECT),
-                                            title='连线列表', description="连线列表",
-                                            default={}),
+                                            title=_('Connection List'), description=_("Connection List"),
+                                            default=[]),
 
                 }
             )
@@ -220,24 +307,31 @@ class ApplicationApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=[''],
                 properties={
-                    'top_n': openapi.Schema(type=openapi.TYPE_NUMBER, title="引用分段数", description="引用分段数",
+                    'top_n': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Reference segment number"),
+                                            description=_("Reference segment number"),
                                             default=5),
-                    'similarity': openapi.Schema(type=openapi.TYPE_NUMBER, title='相似度', description="相似度",
+                    'similarity': openapi.Schema(type=openapi.TYPE_NUMBER, title=_('Similarity'),
+                                                 description=_("Similarity"),
                                                  default=0.6),
-                    'max_paragraph_char_number': openapi.Schema(type=openapi.TYPE_NUMBER, title='最多引用字符数',
-                                                                description="最多引用字符数", default=3000),
-                    'search_mode': openapi.Schema(type=openapi.TYPE_STRING, title='检索模式',
+                    'max_paragraph_char_number': openapi.Schema(type=openapi.TYPE_NUMBER,
+                                                                title=_('Maximum number of quoted characters'),
+                                                                description=_("Maximum number of quoted characters"),
+                                                                default=3000),
+                    'search_mode': openapi.Schema(type=openapi.TYPE_STRING, title=_('Retrieval Mode'),
                                                   description="embedding|keywords|blend", default='embedding'),
-                    'no_references_setting': openapi.Schema(type=openapi.TYPE_OBJECT, title='检索模式',
+                    'no_references_setting': openapi.Schema(type=openapi.TYPE_OBJECT,
+                                                            title=_('No reference segment settings'),
                                                             required=['status', 'value'],
                                                             properties={
                                                                 'status': openapi.Schema(type=openapi.TYPE_STRING,
-                                                                                         title="状态",
-                                                                                         description="ai作答:ai_questioning,指定回答:designated_answer",
+                                                                                         title=_("state"),
+                                                                                         description=_(
+                                                                                             "ai_questioning|designated_answer"),
                                                                                          default='ai_questioning'),
                                                                 'value': openapi.Schema(type=openapi.TYPE_STRING,
-                                                                                        title="值",
-                                                                                        description="ai作答:就是题词,指定回答:就是指定回答内容",
+                                                                                        title=_("value"),
+                                                                                        description=_(
+                                                                                            "ai_questioning: is the title, designated_answer: is the designated answer content"),
                                                                                         default='{question}'),
                                                             }),
                 }
@@ -250,23 +344,26 @@ class ApplicationApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=['prompt'],
                 properties={
-                    'prompt': openapi.Schema(type=openapi.TYPE_STRING, title="提示词", description="提示词",
-                                             default=('已知信息：'
-                                                      '\n{data}'
-                                                      '\n回答要求：'
-                                                      '\n- 如果你不知道答案或者没有从获取答案，请回答“没有在知识库中查找到相关信息，建议咨询相关技术支持或参考官方文档进行操作”。'
-                                                      '\n- 避免提及你是从<data></data>中获得的知识。'
-                                                      '\n- 请保持答案与<data></data>中描述的一致。'
-                                                      '\n- 请使用markdown 语法优化答案的格式。'
-                                                      '\n- <data></data>中的图片链接、链接地址和脚本语言请完整返回。'
-                                                      '\n- 请使用与问题相同的语言来回答。'
-                                                      '\n问题：'
-                                                      '\n{question}')),
+                    'prompt': openapi.Schema(type=openapi.TYPE_STRING, title=_("Prompt word"),
+                                             description=_("Prompt word"),
+                                             default=_(("Known information:\n"
+                                                        "{data}\n"
+                                                        "Answer requirements:\n"
+                                                        "- If you don't know the answer or don't get the answer, please answer \"No relevant information found in the knowledge base, it is recommended to consult relevant technical support or refer to official documents for operation\".\n"
+                                                        "- Avoid mentioning that you got the knowledge from <data></data>.\n"
+                                                        "- Please keep the answer consistent with the description in <data></data>.\n"
+                                                        "- Please use markdown syntax to optimize the format of the answer.\n"
+                                                        "- Please return the image link, link address and script language in <data></data> completely.\n"
+                                                        "- Please answer in the same language as the question.\n"
+                                                        "Question:\n"
+                                                        "{question}"))),
 
-                    'system': openapi.Schema(type=openapi.TYPE_STRING, title="系统提示词(角色)",
-                                             description="系统提示词(角色)"),
-                    'no_references_prompt': openapi.Schema(type=openapi.TYPE_STRING, title="无引用分段提示词",
-                                                           default="{question}", description="无引用分段提示词")
+                    'system': openapi.Schema(type=openapi.TYPE_STRING, title=_("System prompt words (role)"),
+                                             description=_("System prompt words (role)")),
+                    'no_references_prompt': openapi.Schema(type=openapi.TYPE_STRING,
+                                                           title=_("No citation segmentation prompt"),
+                                                           default="{question}",
+                                                           description=_("No citation segmentation prompt"))
 
                 }
             )
@@ -288,36 +385,96 @@ class ApplicationApi(ApiMixin):
             return openapi.Schema(
                 type=openapi.TYPE_OBJECT,
                 required=['name', 'desc', 'model_id', 'dialogue_number', 'dataset_setting', 'model_setting',
-                          'problem_optimization', 'stt_model_enable', 'stt_model_enable', 'tts_type'],
+                          'problem_optimization', 'stt_model_enable', 'stt_model_enable', 'tts_type',
+                          'work_flow'],
                 properties={
-                    'name': openapi.Schema(type=openapi.TYPE_STRING, title="应用名称", description="应用名称"),
-                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title="应用描述", description="应用描述"),
-                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
-                    "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER, title="多轮对话次数",
-                                                      description="多轮对话次数"),
-                    'prologue': openapi.Schema(type=openapi.TYPE_STRING, title="开场白", description="开场白"),
+                    'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
+                                           description=_("Application Name")),
+                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
+                                           description=_("Application Description")),
+                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"),
+                                               description=_("Model id")),
+                    "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
+                                                      title=_("Number of multi-round conversations"),
+                                                      description=_("Number of multi-round conversations")),
+                    'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
+                                               description=_("Opening remarks")),
                     'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
                                                       items=openapi.Schema(type=openapi.TYPE_STRING),
-                                                      title="关联知识库Id列表", description="关联知识库Id列表"),
+                                                      title=_("List of associated knowledge base IDs"),
+                                                      description=_("List of associated knowledge base IDs")),
                     'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
                     'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
-                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="问题优化",
-                                                           description="是否开启问题优化", default=True),
-                    'type': openapi.Schema(type=openapi.TYPE_STRING, title="应用类型",
-                                           description="应用类型 简易:SIMPLE|工作流:WORK_FLOW"),
-                    'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING, title='问题优化提示词',
-                                                                  description="问题优化提示词",
-                                                                  default="()里面是用户问题,根据上下文回答揣测用户问题({question}) 要求: 输出一个补全问题,并且放在<data></data>标签中"),
-                    'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音模型ID",
-                                                   description="文字转语音模型ID"),
-                    'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字模型id",
-                                                   description="语音转文字模型id"),
-                    'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
-                                                       description="语音转文字是否开启"),
-                    'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title="语音转文字是否开启",
-                                                       description="语音转文字是否开启"),
-                    'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title="文字转语音类型",
-                                               description="文字转语音类型")
+                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem Optimization"),
+                                                           description=_("Problem Optimization"), default=True),
+                    'type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Type"),
+                                           description=_("Application Type   SIMPLE |  WORK_FLOW")),
+                    'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING,
+                                                                  title=_('Question optimization tips'),
+                                                                  description=_("Question optimization tips"),
+                                                                  default=_(
+                                                                      "() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")),
+                    'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech model ID"),
+                                                   description=_("Text-to-speech model ID")),
+                    'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Speech-to-text model id"),
+                                                   description=_("Speech-to-text model id")),
+                    'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is speech-to-text enabled"),
+                                                       description=_("Is speech-to-text enabled")),
+                    'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is text-to-speech enabled"),
+                                                       description=_("Is text-to-speech enabled")),
+                    'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech type"),
+                                               description=_("Text-to-speech type")),
+                    'work_flow': ApplicationApi.WorkFlow.get_request_body_api(),
+                }
+            )
+
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                required=['id', 'name', 'desc', 'model_id', 'dialogue_number', 'dataset_setting', 'model_setting',
+                          'problem_optimization', 'stt_model_enable', 'stt_model_enable', 'tts_type',
+                          'work_flow'],
+                properties={
+                    'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Primary key id"),
+                                         description=_("Primary key id")),
+                    'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Name"),
+                                           description=_("Application Name")),
+                    'desc': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Description"),
+                                           description=_("Application Description")),
+                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model id"),
+                                               description=_("Model id")),
+                    "dialogue_number": openapi.Schema(type=openapi.TYPE_NUMBER,
+                                                      title=_("Number of multi-round conversations"),
+                                                      description=_("Number of multi-round conversations")),
+                    'prologue': openapi.Schema(type=openapi.TYPE_STRING, title=_("Opening remarks"),
+                                               description=_("Opening remarks")),
+                    'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
+                                                      items=openapi.Schema(type=openapi.TYPE_STRING),
+                                                      title=_("List of associated knowledge base IDs"),
+                                                      description=_("List of associated knowledge base IDs")),
+                    'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
+                    'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
+                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem Optimization"),
+                                                           description=_("Problem Optimization"), default=True),
+                    'type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application Type"),
+                                           description=_("Application Type   SIMPLE |  WORK_FLOW")),
+                    'problem_optimization_prompt': openapi.Schema(type=openapi.TYPE_STRING,
+                                                                  title=_('Question optimization tips'),
+                                                                  description=_("Question optimization tips"),
+                                                                  default=_(
+                                                                      "() contains the user's question. Answer the guessed user's question based on the context ({question}) Requirement: Output a complete question and put it in the <data></data> tag")),
+                    'tts_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech model ID"),
+                                                   description=_("Text-to-speech model ID")),
+                    'stt_model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Speech-to-text model id"),
+                                                   description=_("Speech-to-text model id")),
+                    'stt_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is speech-to-text enabled"),
+                                                       description=_("Is speech-to-text enabled")),
+                    'tts_model_enable': openapi.Schema(type=openapi.TYPE_STRING, title=_("Is text-to-speech enabled"),
+                                                       description=_("Is text-to-speech enabled")),
+                    'tts_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text-to-speech type"),
+                                               description=_("Text-to-speech type")),
+                    'work_flow': ApplicationApi.WorkFlow.get_request_body_api(),
                 }
             )
 
@@ -328,12 +485,12 @@ class ApplicationApi(ApiMixin):
                                       in_=openapi.IN_QUERY,
                                       type=openapi.TYPE_STRING,
                                       required=False,
-                                      description='应用名称'),
+                                      description=_('Application Name')),
                     openapi.Parameter(name='desc',
                                       in_=openapi.IN_QUERY,
                                       type=openapi.TYPE_STRING,
                                       required=False,
-                                      description='应用描述')
+                                      description=_('Application Description'))
                     ]
 
     class Export(ApiMixin):
@@ -343,7 +500,7 @@ class ApplicationApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id'),
+                                      description=_('Application ID')),
 
                     ]
 
@@ -354,7 +511,7 @@ class ApplicationApi(ApiMixin):
                                       in_=openapi.IN_FORM,
                                       type=openapi.TYPE_FILE,
                                       required=True,
-                                      description='上传图片文件')
+                                      description=_('Upload image files'))
                     ]
 
     class Operate(ApiMixin):
@@ -364,6 +521,28 @@ class ApplicationApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id'),
+                                      description=_('Application ID')),
 
                     ]
+
+    class TextToSpeech(ApiMixin):
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='application_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description=_('Application ID')),
+
+                    ]
+
+        @staticmethod
+        def get_request_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_OBJECT,
+                required=[],
+                properties={
+                    'text': openapi.Schema(type=openapi.TYPE_STRING, title=_("Text"),
+                                           description=_("Text")),
+                }
+            )

apps/application/swagger_api/application_statistics_api.py

@@ -9,7 +9,7 @@
 from drf_yasg import openapi
 
 from common.mixins.api_mixin import ApiMixin
-
+from django.utils.translation import gettext_lazy as _
 
 class ApplicationStatisticsApi(ApiMixin):
     @staticmethod
@@ -18,17 +18,17 @@ class ApplicationStatisticsApi(ApiMixin):
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id'),
+                                  description=_('Application ID')),
                 openapi.Parameter(name='start_time',
                                   in_=openapi.IN_QUERY,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='开始时间'),
+                                  description=_('Start time')),
                 openapi.Parameter(name='end_time',
                                   in_=openapi.IN_QUERY,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='结束时间'),
+                                  description=_('End time')),
                 ]
 
     class ChatRecordAggregate(ApiMixin):
@@ -38,21 +38,21 @@ class ApplicationStatisticsApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=['star_num', 'trample_num', 'tokens_num', 'chat_record_count'],
                 properties={
-                    'star_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="点赞数量",
-                                               description="点赞数量"),
+                    'star_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of Likes"),
+                                               description=_("Number of Likes")),
 
-                    'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="点踩数量", description="点踩数量"),
-                    'tokens_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="token使用数量",
-                                                 description="token使用数量"),
-                    'chat_record_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="对话次数",
-                                                        description="对话次数"),
-                    'customer_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="客户数量",
-                                                   description="客户数量"),
-                    'customer_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="客户新增数量",
-                                                           description="客户新增数量"),
+                    'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of thumbs-downs"), description=_("Number of thumbs-downs")),
+                    'tokens_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of tokens used"),
+                                                 description=_("Number of tokens used")),
+                    'chat_record_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of conversations"),
+                                                        description=_("Number of conversations")),
+                    'customer_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of customers"),
+                                                   description=_("Number of customers")),
+                    'customer_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of new customers"),
+                                                           description=_("Number of new customers")),
                     'day': openapi.Schema(type=openapi.TYPE_STRING,
-                                          title="日期",
-                                          description="日期,只有查询趋势的时候才有该字段"),
+                                          title=_("time"),
+                                          description=_("Time, this field is only available when querying trends")),
                 }
             )
 
@@ -63,11 +63,11 @@ class ApplicationStatisticsApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=['added_count'],
                 properties={
-                    'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="新增数量", description="新增数量"),
+                    'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("New quantity"), description=_("New quantity")),
 
                     'day': openapi.Schema(type=openapi.TYPE_STRING,
-                                          title="时间",
-                                          description="时间"),
+                                          title=_("time"),
+                                          description=_("time")),
                 }
             )
 
@@ -78,9 +78,9 @@ class ApplicationStatisticsApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=['added_count'],
                 properties={
-                    'today_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="今日新增数量",
-                                                        description="今日新增数量"),
-                    'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title="新增数量", description="新增数量"),
+                    'today_added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Today's new quantity"),
+                                                        description=_("Today's new quantity")),
+                    'added_count': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("New quantity"), description=_("New quantity")),
 
                 }
             )

apps/application/swagger_api/application_version_api.py

@@ -9,6 +9,7 @@
 from drf_yasg import openapi
 
 from common.mixins.api_mixin import ApiMixin
+from django.utils.translation import gettext_lazy as _
 
 
 class ApplicationVersionApi(ApiMixin):
@@ -18,13 +19,16 @@ class ApplicationVersionApi(ApiMixin):
             type=openapi.TYPE_OBJECT,
             required=['id', 'name', 'work_flow', 'create_time', 'update_time'],
             properties={
-                'id': openapi.Schema(type=openapi.TYPE_NUMBER, title="主键id",
-                                     description="主键id"),
-                'name': openapi.Schema(type=openapi.TYPE_NUMBER, title="版本名称",
-                                       description="版本名称"),
-                'work_flow': openapi.Schema(type=openapi.TYPE_STRING, title="工作流数据", description='工作流数据'),
-                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间", description='创建时间'),
-                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间", description='修改时间')
+                'id': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Primary key id"),
+                                     description=_("Primary key id")),
+                'name': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Version Name"),
+                                       description=_("Version Name")),
+                'work_flow': openapi.Schema(type=openapi.TYPE_STRING, title=_("Workflow data"),
+                                            description=_('Workflow data')),
+                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
+                                              description=_('Creation time')),
+                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
+                                              description=_('Modification time'))
             }
         )
 
@@ -35,12 +39,12 @@ class ApplicationVersionApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id'),
+                                      description=_('Application ID')),
                     openapi.Parameter(name='name',
                                       in_=openapi.IN_QUERY,
                                       type=openapi.TYPE_STRING,
                                       required=False,
-                                      description='版本名称')]
+                                      description=_('Version Name'))]
 
     class Operate(ApiMixin):
         @staticmethod
@@ -49,12 +53,12 @@ class ApplicationVersionApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id'),
+                                      description=_('Application ID')),
                     openapi.Parameter(name='work_flow_version_id',
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用版本id'), ]
+                                      description=_('Application version id')), ]
 
     class Edit(ApiMixin):
         @staticmethod
@@ -63,7 +67,7 @@ class ApplicationVersionApi(ApiMixin):
                 type=openapi.TYPE_OBJECT,
                 required=[],
                 properties={
-                    'name': openapi.Schema(type=openapi.TYPE_STRING, title="版本名称",
-                                           description="版本名称")
+                    'name': openapi.Schema(type=openapi.TYPE_STRING, title=_("Version Name"),
+                                           description=_("Version Name"))
                 }
             )

apps/application/swagger_api/chat_api.py

@@ -10,6 +10,7 @@ from drf_yasg import openapi
 
 from application.swagger_api.application_api import ApplicationApi
 from common.mixins.api_mixin import ApiMixin
+from django.utils.translation import gettext_lazy as _
 
 
 class ChatClientHistoryApi(ApiMixin):
@@ -19,31 +20,143 @@ class ChatClientHistoryApi(ApiMixin):
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id')
+                                  description=_('Application ID'))
                 ]
 
+    class Operate(ApiMixin):
+        @staticmethod
+        def get_request_params_api():
+            return [openapi.Parameter(name='application_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description=_('Application ID')),
+                    openapi.Parameter(name='chat_id',
+                                      in_=openapi.IN_PATH,
+                                      type=openapi.TYPE_STRING,
+                                      required=True,
+                                      description=_('Conversation ID')),
+                    ]
+
+        class ReAbstract(ApiMixin):
+            @staticmethod
+            def get_request_body_api():
+                return openapi.Schema(
+                    type=openapi.TYPE_OBJECT,
+                    required=['abstract'],
+                    properties={
+                        'abstract': openapi.Schema(type=openapi.TYPE_STRING, title=_("abstract"),
+                                                   description=_("abstract"))
+
+                    }
+                )
+
 
 class OpenAIChatApi(ApiMixin):
+    @staticmethod
+    def get_response_body_api():
+        return openapi.Responses(responses={
+            200: openapi.Response(description=_('response parameters'),
+                                  schema=openapi.Schema(type=openapi.TYPE_OBJECT,
+                                                        required=['id',
+                                                                  'choices'],
+                                                        properties={
+                                                            'id': openapi.Schema(
+                                                                type=openapi.TYPE_STRING,
+                                                                title=_(
+                                                                    "Conversation ID")),
+                                                            'choices': openapi.Schema(
+                                                                type=openapi.TYPE_ARRAY,
+                                                                items=openapi.Schema(
+                                                                    type=openapi.TYPE_OBJECT,
+                                                                    required=[
+                                                                        'message'],
+                                                                    properties={
+                                                                        'finish_reason': openapi.Schema(
+                                                                            type=openapi.TYPE_STRING, ),
+                                                                        'index': openapi.Schema(
+                                                                            type=openapi.TYPE_INTEGER),
+                                                                        'answer_list': openapi.Schema(
+                                                                            type=openapi.TYPE_ARRAY,
+                                                                            items=openapi.Schema(
+                                                                                type=openapi.TYPE_OBJECT,
+                                                                                required=[
+                                                                                    'content'],
+                                                                                properties={
+                                                                                    'content': openapi.Schema(
+                                                                                        type=openapi.TYPE_STRING),
+                                                                                    'view_type': openapi.Schema(
+                                                                                        type=openapi.TYPE_STRING),
+                                                                                    'runtime_node_id': openapi.Schema(
+                                                                                        type=openapi.TYPE_STRING),
+                                                                                    'chat_record_id': openapi.Schema(
+                                                                                        type=openapi.TYPE_STRING),
+                                                                                    'reasoning_content': openapi.Schema(
+                                                                                        type=openapi.TYPE_STRING),
+                                                                                }
+                                                                            )),
+                                                                        'message': openapi.Schema(
+                                                                            type=openapi.TYPE_OBJECT,
+                                                                            required=[
+                                                                                'content'],
+                                                                            properties={
+                                                                                'content': openapi.Schema(
+                                                                                    type=openapi.TYPE_STRING),
+                                                                                'role': openapi.Schema(
+                                                                                    type=openapi.TYPE_STRING)
+
+                                                                            }),
+
+                                                                    }
+                                                                )),
+                                                            'created': openapi.Schema(
+                                                                type=openapi.TYPE_INTEGER),
+                                                            'model': openapi.Schema(
+                                                                type=openapi.TYPE_STRING),
+                                                            'object': openapi.Schema(
+                                                                type=openapi.TYPE_STRING),
+                                                            'usage': openapi.Schema(
+                                                                type=openapi.TYPE_OBJECT,
+                                                                required=[
+                                                                    'completion_tokens',
+                                                                    'prompt_tokens',
+                                                                    'total_tokens'],
+                                                                properties={
+                                                                    'completion_tokens': openapi.Schema(
+                                                                        type=openapi.TYPE_INTEGER),
+                                                                    'prompt_tokens': openapi.Schema(
+                                                                        type=openapi.TYPE_INTEGER),
+                                                                    'total_tokens': openapi.Schema(
+                                                                        type=openapi.TYPE_INTEGER)
+                                                                })
+
+                                                        }))})
+
     @staticmethod
     def get_request_body_api():
         return openapi.Schema(type=openapi.TYPE_OBJECT,
                               required=['message'],
                               properties={
-                                  'messages': openapi.Schema(type=openapi.TYPE_ARRAY, title="问题", description="问题",
+                                  'messages': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("problem"),
+                                                             description=_("problem"),
                                                              items=openapi.Schema(type=openapi.TYPE_OBJECT,
                                                                                   required=['role', 'content'],
                                                                                   properties={
                                                                                       'content': openapi.Schema(
                                                                                           type=openapi.TYPE_STRING,
-                                                                                          title="问题内容", default=''),
+                                                                                          title=_("Question content"),
+                                                                                          default=''),
                                                                                       'role': openapi.Schema(
                                                                                           type=openapi.TYPE_STRING,
-                                                                                          title='角色', default="user")
+                                                                                          title=_('role'),
+                                                                                          default="user")
                                                                                   }
                                                                                   )),
-                                  'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title="对话id"),
-                                  're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重新生成", default=False),
-                                  'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="流式输出", default=True)
+                                  'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Conversation ID")),
+                                  're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("regenerate"),
+                                                            default=False),
+                                  'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Stream Output"),
+                                                           default=True)
 
                               })
 
@@ -55,9 +168,68 @@ class ChatApi(ApiMixin):
             type=openapi.TYPE_OBJECT,
             required=['message'],
             properties={
-                'message': openapi.Schema(type=openapi.TYPE_STRING, title="问题", description="问题"),
-                're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重新生成", default=False),
-                'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="重新生成", default=True)
+                'message': openapi.Schema(type=openapi.TYPE_STRING, title=_("problem"), description=_("problem")),
+                're_chat': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("regenerate"), default=False),
+                'stream': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Is it streaming output"), default=True),
+
+                'form_data': openapi.Schema(type=openapi.TYPE_OBJECT, title=_("Form data"),
+                                            description=_("Form data"),
+                                            default={}),
+                'image_list': openapi.Schema(
+                    type=openapi.TYPE_ARRAY,
+                    title=_("Image list"),
+                    description=_("Image list"),
+                    items=openapi.Schema(
+                        type=openapi.TYPE_OBJECT,
+                        properties={
+                            'name': openapi.Schema(type=openapi.TYPE_STRING,
+                                                   title=_("Image name")),
+                            'url': openapi.Schema(type=openapi.TYPE_STRING,
+                                                  title=_("Image URL")),
+                            'file_id': openapi.Schema(type=openapi.TYPE_STRING),
+                        }
+                    ),
+                    default=[]
+                ),
+                'document_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("Document list"),
+                                                description=_("Document list"),
+                                                items=openapi.Schema(
+                                                    type=openapi.TYPE_OBJECT,
+                                                    properties={
+                                                        # 定义对象的具体属性
+                                                        'name': openapi.Schema(type=openapi.TYPE_STRING,
+                                                                               title=_("Document name")),
+                                                        'url': openapi.Schema(type=openapi.TYPE_STRING,
+                                                                              title=_("Document URL")),
+                                                        'file_id': openapi.Schema(type=openapi.TYPE_STRING),
+                                                    }
+                                                ),
+                                                default=[]),
+                'audio_list': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("Audio list"),
+                                             description=_("Audio list"),
+                                             items=openapi.Schema(
+                                                 type=openapi.TYPE_OBJECT,
+                                                 properties={
+                                                     'name': openapi.Schema(type=openapi.TYPE_STRING,
+                                                                            title=_("Audio name")),
+                                                     'url': openapi.Schema(type=openapi.TYPE_STRING,
+                                                                           title=_("Audio URL")),
+                                                     'file_id': openapi.Schema(type=openapi.TYPE_STRING),
+                                                 }
+                                             ),
+                                             default=[]),
+                'runtime_node_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Runtime node id"),
+                                                  description=_("Runtime node id"),
+                                                  default=""),
+                'node_data': openapi.Schema(type=openapi.TYPE_OBJECT, title=_("Node data"),
+                                            description=_("Node data"),
+                                            default={}),
+                'chat_record_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Conversation record id"),
+                                                 description=_("Conversation record id"),
+                                                 default=""),
+                'child_node': openapi.Schema(type=openapi.TYPE_STRING, title=_("Child node"),
+                                             description=_("Child node"),
+                                             default={}),
 
             }
         )
@@ -71,26 +243,26 @@ class ChatApi(ApiMixin):
             properties={
                 'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
                                      description="id", default="xx"),
-                'application_id': openapi.Schema(type=openapi.TYPE_STRING, title="应用id",
-                                                 description="应用id", default='应用id'),
-                'abstract': openapi.Schema(type=openapi.TYPE_STRING, title="摘要",
-                                           description="摘要", default='摘要'),
-                'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title="对话id",
-                                          description="对话id", default="对话id"),
-                'chat_record_count': openapi.Schema(type=openapi.TYPE_STRING, title="对话提问数量",
-                                                    description="对话提问数量",
-                                                    default="对话提问数量"),
-                'mark_sum': openapi.Schema(type=openapi.TYPE_STRING, title="标记数量",
-                                           description="标记数量", default=1),
-                'star_num': openapi.Schema(type=openapi.TYPE_STRING, title="点赞数量",
-                                           description="点赞数量", default=1),
-                'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title="点踩数量",
-                                              description="点踩数量", default=1),
-                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
-                                              description="修改时间",
+                'application_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application ID"),
+                                                 description=_("Application ID"), default=_('Application ID')),
+                'abstract': openapi.Schema(type=openapi.TYPE_STRING, title=_("abstract"),
+                                           description=_("abstract"), default=_('abstract')),
+                'chat_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Conversation ID"),
+                                          description=_("Conversation ID"), default=_("Conversation ID")),
+                'chat_record_count': openapi.Schema(type=openapi.TYPE_STRING, title=_("Number of dialogue questions"),
+                                                    description=_("Number of dialogue questions"),
+                                                    default=0),
+                'mark_sum': openapi.Schema(type=openapi.TYPE_STRING, title=_("Number of tags"),
+                                           description=_("Number of tags"), default=1),
+                'star_num': openapi.Schema(type=openapi.TYPE_STRING, title=_("Number of likes"),
+                                           description=_("Number of likes"), default=1),
+                'trample_num': openapi.Schema(type=openapi.TYPE_NUMBER, title=_("Number of clicks"),
+                                              description=_("Number of clicks"), default=1),
+                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Change time"),
+                                              description=_("Change time"),
                                               default="1970-01-01 00:00:00"),
-                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
-                                              description="创建时间",
+                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
+                                              description=_("Creation time"),
                                               default="1970-01-01 00:00:00"
                                               )
             }
@@ -103,7 +275,7 @@ class ChatApi(ApiMixin):
                                       in_=openapi.IN_PATH,
                                       type=openapi.TYPE_STRING,
                                       required=True,
-                                      description='应用id'),
+                                      description=_('Application ID')),
 
                     ]
 
@@ -126,41 +298,64 @@ class ChatApi(ApiMixin):
                 required=['model_id', 'multiple_rounds_dialogue', 'dataset_setting', 'model_setting',
                           'problem_optimization'],
                 properties={
-                    'id': openapi.Schema(type=openapi.TYPE_STRING, title="应用id",
-                                         description="应用id,修改的时候传,创建的时候不传"),
-                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title="模型id", description="模型id"),
+                    'id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Application ID"),
+                                         description=_(
+                                             "Application ID, pass when modifying, do not pass when creating")),
+                    'model_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Model ID"),
+                                               description=_("Model ID")),
                     'dataset_id_list': openapi.Schema(type=openapi.TYPE_ARRAY,
                                                       items=openapi.Schema(type=openapi.TYPE_STRING),
-                                                      title="关联知识库Id列表", description="关联知识库Id列表"),
-                    'multiple_rounds_dialogue': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否开启多轮会话",
-                                                               description="是否开启多轮会话"),
+                                                      title=_("List of associated knowledge base IDs"),
+                                                      description=_("List of associated knowledge base IDs")),
+                    'multiple_rounds_dialogue': openapi.Schema(type=openapi.TYPE_BOOLEAN,
+                                                               title=_("Do you want to initiate multiple sessions"),
+                                                               description=_(
+                                                                   "Do you want to initiate multiple sessions")),
                     'dataset_setting': ApplicationApi.DatasetSetting.get_request_body_api(),
                     'model_setting': ApplicationApi.ModelSetting.get_request_body_api(),
-                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="问题优化",
-                                                           description="是否开启问题优化", default=True)
+                    'problem_optimization': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Problem optimization"),
+                                                           description=_("Do you want to enable problem optimization"),
+                                                           default=True)
                 }
             )
 
+        @staticmethod
+        def get_response_body_api():
+            return openapi.Schema(
+                type=openapi.TYPE_STRING,
+                title=_("Conversation ID"),
+                description=_("Conversation ID"),
+                default="chat_id"
+            )
+
     @staticmethod
     def get_request_params_api():
         return [openapi.Parameter(name='application_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id'),
+                                  description=_('Application ID')),
                 openapi.Parameter(name='history_day',
                                   in_=openapi.IN_QUERY,
                                   type=openapi.TYPE_NUMBER,
                                   required=True,
-                                  description='历史天数'),
+                                  description=_('Historical days')),
                 openapi.Parameter(name='abstract', in_=openapi.IN_QUERY, type=openapi.TYPE_STRING, required=False,
-                                  description="摘要"),
+                                  description=_("abstract")),
                 openapi.Parameter(name='min_star', in_=openapi.IN_QUERY, type=openapi.TYPE_INTEGER, required=False,
-                                  description="最小点赞数"),
+                                  description=_("Minimum number of likes")),
                 openapi.Parameter(name='min_trample', in_=openapi.IN_QUERY, type=openapi.TYPE_INTEGER, required=False,
-                                  description="最小点踩数"),
+                                  description=_("Minimum number of clicks")),
                 openapi.Parameter(name='comparer', in_=openapi.IN_QUERY, type=openapi.TYPE_STRING, required=False,
-                                  description="or|and 比较器")
+                                  description=_("or|and comparator")),
+                openapi.Parameter(name='start_time', in_=openapi.IN_QUERY,
+                                  type=openapi.TYPE_STRING,
+                                  required=True,
+                                  description=_('start time')),
+                openapi.Parameter(name='end_time', in_=openapi.IN_QUERY,
+                                  type=openapi.TYPE_STRING,
+                                  required=True,
+                                  description=_('End time')),
                 ]
 
 
@@ -171,12 +366,17 @@ class ChatRecordApi(ApiMixin):
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id'),
+                                  description=_('Application ID')),
                 openapi.Parameter(name='chat_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='对话id'),
+                                  description=_('Conversation ID')),
+                openapi.Parameter(name='order_asc',
+                                  in_=openapi.IN_QUERY,
+                                  type=openapi.TYPE_BOOLEAN,
+                                  required=False,
+                                  description=_('Is it ascending order')),
                 ]
 
     @staticmethod
@@ -189,34 +389,39 @@ class ChatRecordApi(ApiMixin):
             properties={
                 'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
                                      description="id", default="xx"),
-                'chat': openapi.Schema(type=openapi.TYPE_STRING, title="会话日志id",
-                                       description="会话日志id", default='会话日志id'),
-                'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title="投票状态",
-                                              description="投票状态", default="投票状态"),
-                'dataset': openapi.Schema(type=openapi.TYPE_STRING, title="数据集id", description="数据集id",
-                                          default="数据集id"),
-                'paragraph': openapi.Schema(type=openapi.TYPE_STRING, title="段落id",
-                                            description="段落id", default=1),
-                'source_id': openapi.Schema(type=openapi.TYPE_STRING, title="资源id",
-                                            description="资源id", default=1),
-                'source_type': openapi.Schema(type=openapi.TYPE_STRING, title="资源类型",
-                                              description="资源类型", default='xxx'),
-                'message_tokens': openapi.Schema(type=openapi.TYPE_INTEGER, title="问题消耗token数量",
-                                                 description="问题消耗token数量", default=0),
-                'answer_tokens': openapi.Schema(type=openapi.TYPE_INTEGER, title="答案消耗token数量",
-                                                description="答案消耗token数量", default=0),
-                'improve_paragraph_id_list': openapi.Schema(type=openapi.TYPE_STRING, title="改进标注列表",
-                                                            description="改进标注列表",
+                'chat': openapi.Schema(type=openapi.TYPE_STRING, title=_("Session log id"),
+                                       description=_("Conversation log id"), default=_('Conversation log id')),
+                'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title=_("Voting Status"),
+                                              description=_("Voting Status"), default=_("Voting Status")),
+                'dataset': openapi.Schema(type=openapi.TYPE_STRING, title=_("Dataset id"), description=_("Dataset id"),
+                                          default=_("Dataset id")),
+                'paragraph': openapi.Schema(type=openapi.TYPE_STRING, title=_("Paragraph id"),
+                                            description=_("Paragraph id"), default=1),
+                'source_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Resource ID"),
+                                            description=_("Resource ID"), default=1),
+                'source_type': openapi.Schema(type=openapi.TYPE_STRING, title=_("Resource Type"),
+                                              description=_("Resource Type"), default='xxx'),
+                'message_tokens': openapi.Schema(type=openapi.TYPE_INTEGER,
+                                                 title=_("Number of tokens consumed by the question"),
+                                                 description=_("Number of tokens consumed by the question"), default=0),
+                'answer_tokens': openapi.Schema(type=openapi.TYPE_INTEGER,
+                                                title=_("The number of tokens consumed by the answer"),
+                                                description=_("The number of tokens consumed by the answer"),
+                                                default=0),
+                'improve_paragraph_id_list': openapi.Schema(type=openapi.TYPE_STRING,
+                                                            title=_("Improved annotation list"),
+                                                            description=_("Improved annotation list"),
                                                             default=[]),
-                'index': openapi.Schema(type=openapi.TYPE_STRING, title="对应会话 对应下标",
-                                        description="对应会话id对应下标",
-                                        default="对应会话id对应下标"
+                'index': openapi.Schema(type=openapi.TYPE_STRING,
+                                        title=_("Corresponding session Corresponding subscript"),
+                                        description=_("Corresponding session id corresponding subscript"),
+                                        default=0
                                         ),
-                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
-                                              description="修改时间",
+                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
+                                              description=_("Modification time"),
                                               default="1970-01-01 00:00:00"),
-                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
-                                              description="创建时间",
+                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
+                                              description=_("Creation time"),
                                               default="1970-01-01 00:00:00"
                                               )
             }
@@ -230,27 +435,27 @@ class ImproveApi(ApiMixin):
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id'),
+                                  description=_('Application ID')),
                 openapi.Parameter(name='chat_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='会话id'),
+                                  description=_('Conversation ID')),
                 openapi.Parameter(name='chat_record_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='会话记录id'),
+                                  description=_('Conversation record id')),
                 openapi.Parameter(name='dataset_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='知识库id'),
+                                  description=_('Knowledge base id')),
                 openapi.Parameter(name='document_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='文档id'),
+                                  description=_('Document id')),
                 ]
 
     @staticmethod
@@ -259,10 +464,10 @@ class ImproveApi(ApiMixin):
             type=openapi.TYPE_OBJECT,
             required=['content'],
             properties={
-                'title': openapi.Schema(type=openapi.TYPE_STRING, title="段落标题",
-                                        description="段落标题"),
-                'content': openapi.Schema(type=openapi.TYPE_STRING, title="段落内容",
-                                          description="段落内容")
+                'title': openapi.Schema(type=openapi.TYPE_STRING, title=_("Section title"),
+                                        description=_("Section title")),
+                'content': openapi.Schema(type=openapi.TYPE_STRING, title=_("Paragraph content"),
+                                          description=_("Paragraph content"))
 
             }
         )
@@ -273,12 +478,12 @@ class ImproveApi(ApiMixin):
             type=openapi.TYPE_OBJECT,
             required=['dataset_id', 'document_id', 'chat_ids'],
             properties={
-                'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title="知识库id",
-                                             description="知识库id"),
-                'document_id': openapi.Schema(type=openapi.TYPE_STRING, title="文档id",
-                                              description="文档id"),
-                'chat_ids': openapi.Schema(type=openapi.TYPE_ARRAY, title="会话id列表",
-                                           description="会话id列表",
+                'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Knowledge base id"),
+                                             description=_("Knowledge base id")),
+                'document_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Document id"),
+                                              description=_("Document id")),
+                'chat_ids': openapi.Schema(type=openapi.TYPE_ARRAY, title=_("Conversation id list"),
+                                           description=_("Conversation id list"),
                                            items=openapi.Schema(type=openapi.TYPE_STRING))
 
             }
@@ -290,12 +495,12 @@ class ImproveApi(ApiMixin):
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id'),
+                                  description=_('Application ID')),
                 openapi.Parameter(name='dataset_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='知识库id'),
+                                  description=_('Knowledge base id')),
 
                 ]
 
@@ -307,17 +512,17 @@ class VoteApi(ApiMixin):
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id'),
+                                  description=_('Application ID')),
                 openapi.Parameter(name='chat_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='会话id'),
+                                  description=_('Conversation ID')),
                 openapi.Parameter(name='chat_record_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='会话记录id')
+                                  description=_('Conversation record id'))
                 ]
 
     @staticmethod
@@ -326,8 +531,8 @@ class VoteApi(ApiMixin):
             type=openapi.TYPE_OBJECT,
             required=['vote_status'],
             properties={
-                'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title="投票状态",
-                                              description="-1:取消投票|0:赞同|1:反对"),
+                'vote_status': openapi.Schema(type=openapi.TYPE_STRING, title=_("Voting Status"),
+                                              description=_("-1: Cancel vote | 0: Agree | 1: Oppose")),
 
             }
         )
@@ -340,17 +545,17 @@ class ChatRecordImproveApi(ApiMixin):
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='应用id'),
+                                  description=_('Application ID')),
                 openapi.Parameter(name='chat_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='会话id'),
+                                  description=_('Conversation ID')),
                 openapi.Parameter(name='chat_record_id',
                                   in_=openapi.IN_PATH,
                                   type=openapi.TYPE_STRING,
                                   required=True,
-                                  description='会话记录id')
+                                  description=_('Conversation record id'))
                 ]
 
     @staticmethod
@@ -363,27 +568,28 @@ class ChatRecordImproveApi(ApiMixin):
             properties={
                 'id': openapi.Schema(type=openapi.TYPE_STRING, title="id",
                                      description="id", default="xx"),
-                'content': openapi.Schema(type=openapi.TYPE_STRING, title="段落内容",
-                                          description="段落内容", default='段落内容'),
-                'title': openapi.Schema(type=openapi.TYPE_STRING, title="标题",
-                                        description="标题", default="xxx的描述"),
-                'hit_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="命中数量", description="命中数量",
+                'content': openapi.Schema(type=openapi.TYPE_STRING, title=_("Paragraph content"),
+                                          description=_("Paragraph content"), default=_('Paragraph content')),
+                'title': openapi.Schema(type=openapi.TYPE_STRING, title=_("title"),
+                                        description=_("title"), default=_("Description of xxx")),
+                'hit_num': openapi.Schema(type=openapi.TYPE_INTEGER, title=_("Number of hits"),
+                                          description=_("Number of hits"),
                                           default=1),
-                'star_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点赞数量",
-                                           description="点赞数量", default=1),
-                'trample_num': openapi.Schema(type=openapi.TYPE_INTEGER, title="点踩数量",
-                                              description="点踩数", default=1),
-                'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title="知识库id",
-                                             description="知识库id", default='xxx'),
-                'document_id': openapi.Schema(type=openapi.TYPE_STRING, title="文档id",
-                                              description="文档id", default='xxx'),
-                'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title="是否可用",
-                                            description="是否可用", default=True),
-                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title="修改时间",
-                                              description="修改时间",
+                'star_num': openapi.Schema(type=openapi.TYPE_INTEGER, title=_("Number of Likes"),
+                                           description=_("Number of Likes"), default=1),
+                'trample_num': openapi.Schema(type=openapi.TYPE_INTEGER, title=_("Number of thumbs-downs"),
+                                              description=_("Number of thumbs-downs"), default=1),
+                'dataset_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Knowledge base id"),
+                                             description=_("Knowledge base id"), default='xxx'),
+                'document_id': openapi.Schema(type=openapi.TYPE_STRING, title=_("Document id"),
+                                              description=_("Document id"), default='xxx'),
+                'is_active': openapi.Schema(type=openapi.TYPE_BOOLEAN, title=_("Availability"),
+                                            description=_("Availability"), default=True),
+                'update_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Modification time"),
+                                              description=_("Modification time"),
                                               default="1970-01-01 00:00:00"),
-                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title="创建时间",
-                                              description="创建时间",
+                'create_time': openapi.Schema(type=openapi.TYPE_STRING, title=_("Creation time"),
+                                              description=_("Creation time"),
                                               default="1970-01-01 00:00:00"
                                               )
             }

apps/application/urls.py

@@ -9,6 +9,7 @@ urlpatterns = [
     path('application/profile', views.Application.Profile.as_view(), name='application/profile'),
     path('application/embed', views.Application.Embed.as_view()),
     path('application/authentication', views.Application.Authentication.as_view()),
+    path('application/mcp_servers', views.Application.McpServers.as_view()),
     path('application/<str:application_id>/publish', views.Application.Publish.as_view()),
     path('application/<str:application_id>/edit_icon', views.Application.EditIcon.as_view()),
     path('application/<str:application_id>/export', views.Application.Export.as_view()),

apps/application/views/application_version_views.py

@@ -13,21 +13,24 @@ from rest_framework.views import APIView
 
 from application.serializers.application_version_serializers import ApplicationVersionSerializer
 from application.swagger_api.application_version_api import ApplicationVersionApi
+from application.views import get_application_operation_object
 from common.auth import has_permissions, TokenAuth
 from common.constants.permission_constants import PermissionConstants, CompareConstants, ViewPermission, RoleConstants, \
     Permission, Group, Operate
+from common.log.log import log
 from common.response import result
+from django.utils.translation import gettext_lazy as _
 
 
 class ApplicationVersionView(APIView):
     authentication_classes = [TokenAuth]
 
     @action(methods=['GET'], detail=False)
-    @swagger_auto_schema(operation_summary="获取应用列表",
-                         operation_id="获取应用列表",
+    @swagger_auto_schema(operation_summary=_("Get the application list"),
+                         operation_id=_("Get the application list"),
                          manual_parameters=ApplicationVersionApi.Query.get_request_params_api(),
                          responses=result.get_api_array_response(ApplicationVersionApi.get_response_body_api()),
-                         tags=['应用/版本'])
+                         tags=[_('Application/Version')])
     @has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
     def get(self, request: Request, application_id: str):
         return result.success(
@@ -39,12 +42,12 @@ class ApplicationVersionView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="分页获取应用版本列表",
-                             operation_id="分页获取应用版本列表",
+        @swagger_auto_schema(operation_summary=_("Get the list of application versions by page"),
+                             operation_id=_("Get the list of application versions by page"),
                              manual_parameters=result.get_page_request_params(
                                  ApplicationVersionApi.Query.get_request_params_api()),
                              responses=result.get_page_api_response(ApplicationVersionApi.get_response_body_api()),
-                             tags=['应用/版本'])
+                             tags=[_('Application/Version')])
         @has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
         def get(self, request: Request, application_id: str, current_page: int, page_size: int):
             return result.success(
@@ -57,11 +60,11 @@ class ApplicationVersionView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取应用版本详情",
-                             operation_id="获取应用版本详情",
+        @swagger_auto_schema(operation_summary=_("Get application version details"),
+                             operation_id=_("Get application version details"),
                              manual_parameters=ApplicationVersionApi.Operate.get_request_params_api(),
                              responses=result.get_api_response(ApplicationVersionApi.get_response_body_api()),
-                             tags=['应用/版本'])
+                             tags=[_('Application/Version')])
         @has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
         def get(self, request: Request, application_id: str, work_flow_version_id: str):
             return result.success(
@@ -70,17 +73,19 @@ class ApplicationVersionView(APIView):
                           'application_id': application_id, 'work_flow_version_id': work_flow_version_id}).one())
 
         @action(methods=['PUT'], detail=False)
-        @swagger_auto_schema(operation_summary="修改应用版本信息",
-                             operation_id="修改应用版本信息",
+        @swagger_auto_schema(operation_summary=_("Modify application version information"),
+                             operation_id=_("Modify application version information"),
                              manual_parameters=ApplicationVersionApi.Operate.get_request_params_api(),
                              request_body=ApplicationVersionApi.Edit.get_request_body_api(),
                              responses=result.get_api_response(ApplicationVersionApi.get_response_body_api()),
-                             tags=['应用/版本'])
+                             tags=[_('Application/Version')])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                             dynamic_tag=keywords.get('application_id'))],
             compare=CompareConstants.AND))
+        @log(menu='Application', operate="Modify application version information",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def put(self, request: Request, application_id: str, work_flow_version_id: str):
             return result.success(
                 ApplicationVersionSerializer.Operate(

apps/application/views/application_views.py

@@ -9,7 +9,9 @@
 
 from django.core import cache
 from django.http import HttpResponse
+from django.utils.translation import gettext_lazy as _, gettext
 from drf_yasg.utils import swagger_auto_schema
+from langchain_core.prompts import PromptTemplate
 from rest_framework.decorators import action
 from rest_framework.parsers import MultiPartParser
 from rest_framework.request import Request
@@ -19,10 +21,12 @@ from application.serializers.application_serializers import ApplicationSerialize
 from application.serializers.application_statistics_serializers import ApplicationStatisticsSerializer
 from application.swagger_api.application_api import ApplicationApi
 from application.swagger_api.application_statistics_api import ApplicationStatisticsApi
+from application.views.common import get_application_operation_object
 from common.auth import TokenAuth, has_permissions
 from common.constants.permission_constants import CompareConstants, PermissionConstants, Permission, Group, Operate, \
     ViewPermission, RoleConstants
 from common.exception.app_exception import AppAuthenticationFailed
+from common.log.log import log
 from common.response import result
 from common.swagger_api.common_api import CommonApi
 from common.util.common import query_params_to_single_dict
@@ -36,9 +40,9 @@ class ApplicationStatistics(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=["GET"], detail=False)
-        @swagger_auto_schema(operation_summary="用户统计",
-                             operation_id="用户统计",
-                             tags=["应用/统计"],
+        @swagger_auto_schema(operation_summary=_("User Statistics"),
+                             operation_id=_("User Statistics"),
+                             tags=[_("Application/Statistics")],
                              manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
                              responses=result.get_api_response(
                                  ApplicationStatisticsApi.CustomerCount.get_response_body_api())
@@ -61,9 +65,9 @@ class ApplicationStatistics(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=["GET"], detail=False)
-        @swagger_auto_schema(operation_summary="用户统计趋势",
-                             operation_id="用户统计趋势",
-                             tags=["应用/统计"],
+        @swagger_auto_schema(operation_summary=_("User demographic trends"),
+                             operation_id=_("User demographic trends"),
+                             tags=[_("Application/Statistics")],
                              manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
                              responses=result.get_api_array_response(
                                  ApplicationStatisticsApi.CustomerCountTrend.get_response_body_api()))
@@ -85,9 +89,9 @@ class ApplicationStatistics(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=["GET"], detail=False)
-        @swagger_auto_schema(operation_summary="对话相关统计",
-                             operation_id="对话相关统计",
-                             tags=["应用/统计"],
+        @swagger_auto_schema(operation_summary=_("Conversation statistics"),
+                             operation_id=_("Conversation statistics"),
+                             tags=[_("Application/Statistics")],
                              manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
                              responses=result.get_api_response(
                                  ApplicationStatisticsApi.ChatRecordAggregate.get_response_body_api())
@@ -110,9 +114,9 @@ class ApplicationStatistics(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=["GET"], detail=False)
-        @swagger_auto_schema(operation_summary="对话相关统计趋势",
-                             operation_id="对话相关统计趋势",
-                             tags=["应用/统计"],
+        @swagger_auto_schema(operation_summary=_("Dialogue-related statistical trends"),
+                             operation_id=_("Dialogue-related statistical trends"),
+                             tags=[_("Application/Statistics")],
                              manual_parameters=ApplicationStatisticsApi.get_request_params_api(),
                              responses=result.get_api_array_response(
                                  ApplicationStatisticsApi.ChatRecordAggregate.get_response_body_api())
@@ -140,9 +144,9 @@ class Application(APIView):
         parser_classes = [MultiPartParser]
 
         @action(methods=['PUT'], detail=False)
-        @swagger_auto_schema(operation_summary="修改应用icon",
-                             operation_id="修改应用icon",
-                             tags=['应用'],
+        @swagger_auto_schema(operation_summary=_("Modify application icon"),
+                             operation_id=_("Modify application icon"),
+                             tags=[_('Application')],
                              manual_parameters=ApplicationApi.EditApplicationIcon.get_request_params_api(),
                              request_body=ApplicationApi.Operate.get_request_body_api())
         @has_permissions(ViewPermission(
@@ -151,6 +155,8 @@ class Application(APIView):
                                             dynamic_tag=keywords.get('application_id'))],
             compare=CompareConstants.AND), PermissionConstants.APPLICATION_EDIT,
             compare=CompareConstants.AND)
+        @log(menu='Application', operate="Modify application icon",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def put(self, request: Request, application_id: str):
             return result.success(
                 ApplicationSerializer.IconOperate(
@@ -161,12 +167,13 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
         parser_classes = [MultiPartParser]
 
-        @action(methods="GET", detail=False)
-        @swagger_auto_schema(operation_summary="导入应用", operation_id="导入应用",
+        @action(methods="POST", detail=False)
+        @swagger_auto_schema(operation_summary=_("Import Application"), operation_id=_("Import Application"),
                              manual_parameters=ApplicationApi.Import.get_request_params_api(),
-                             tags=["应用"]
+                             tags=[_("Application")]
                              )
         @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
+        @log(menu='Application', operate="Import Application")
         def post(self, request: Request):
             return result.success(ApplicationSerializer.Import(
                 data={'user_id': request.user.id, 'file': request.FILES.get('file')}).import_())
@@ -175,21 +182,23 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods="GET", detail=False)
-        @swagger_auto_schema(operation_summary="导出应用", operation_id="导出应用",
+        @swagger_auto_schema(operation_summary=_("Export Application"), operation_id=_("Export Application"),
                              manual_parameters=ApplicationApi.Export.get_request_params_api(),
-                             tags=["应用"]
+                             tags=[_("Application")]
                              )
         @has_permissions(lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                                         dynamic_tag=keywords.get('application_id')))
+        @log(menu='Application', operate="Export Application",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def get(self, request: Request, application_id: str):
             return ApplicationSerializer.Operate(
                 data={'application_id': application_id, 'user_id': request.user.id}).export()
 
     class Embed(APIView):
         @action(methods=["GET"], detail=False)
-        @swagger_auto_schema(operation_summary="获取嵌入js",
-                             operation_id="获取嵌入js",
-                             tags=["应用"],
+        @swagger_auto_schema(operation_summary=_("Get embedded js"),
+                             operation_id=_("Get embedded js"),
+                             tags=[_("Application")],
                              manual_parameters=ApplicationApi.ApiKey.get_request_params_api())
         def get(self, request: Request):
             return ApplicationSerializer.Embed(
@@ -200,9 +209,9 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=["GET"], detail=False)
-        @swagger_auto_schema(operation_summary="获取模型列表",
-                             operation_id="获取模型列表",
-                             tags=["应用"],
+        @swagger_auto_schema(operation_summary=_("Get a list of models"),
+                             operation_id=_("Get a list of models"),
+                             tags=[_("Application")],
                              manual_parameters=ApplicationApi.Model.get_request_params_api())
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
@@ -219,9 +228,9 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取模型参数表单",
-                             operation_id="获取模型参数表单",
-                             tags=["模型"])
+        @swagger_auto_schema(operation_summary=_("Get model parameter form"),
+                             operation_id=_("Get model parameter form"),
+                             tags=[_("Application")])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
@@ -237,9 +246,9 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=["GET"], detail=False)
-        @swagger_auto_schema(operation_summary="获取函数库列表",
-                             operation_id="获取函数库列表",
-                             tags=["应用"])
+        @swagger_auto_schema(operation_summary=_("Get a list of function libraries"),
+                             operation_id=_("Get a list of function libraries"),
+                             tags=[_("Application")])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
@@ -255,9 +264,9 @@ class Application(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=["GET"], detail=False)
-            @swagger_auto_schema(operation_summary="获取函数库列表",
-                                 operation_id="获取函数库列表",
-                                 tags=["应用"],
+            @swagger_auto_schema(operation_summary=_("Get library details"),
+                                 operation_id=_("Get library details"),
+                                 tags=[_("Application")],
                                  )
             @has_permissions(ViewPermission(
                 [RoleConstants.ADMIN, RoleConstants.USER],
@@ -274,9 +283,9 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取当前人创建的应用列表",
-                             operation_id="获取当前人创建的应用列表",
-                             tags=["应用/会话"])
+        @swagger_auto_schema(operation_summary=_("Get the list of apps created by the current user"),
+                             operation_id=_("Get the list of apps created by the current user"),
+                             tags=[_("Application/Chat")])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
@@ -292,9 +301,9 @@ class Application(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=["GET"], detail=False)
-            @swagger_auto_schema(operation_summary="获取应用数据",
-                                 operation_id="获取应用数据",
-                                 tags=["应用"],
+            @swagger_auto_schema(operation_summary=_("Get application data"),
+                                 operation_id=_("Get application data"),
+                                 tags=[_("Application")],
                                  )
             @has_permissions(ViewPermission(
                 [RoleConstants.ADMIN, RoleConstants.USER],
@@ -311,9 +320,9 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取应用相关信息",
-                             operation_id="获取应用相关信息",
-                             tags=["应用/会话"])
+        @swagger_auto_schema(operation_summary=_("Get application related information"),
+                             operation_id=_("Get application related information"),
+                             tags=[_("Application/Chat")])
         def get(self, request: Request):
             if 'application_id' in request.auth.keywords:
                 return result.success(ApplicationSerializer.Operate(
@@ -325,24 +334,26 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['POST'], detail=False)
-        @swagger_auto_schema(operation_summary="新增ApiKey",
-                             operation_id="新增ApiKey",
-                             tags=['应用/API_KEY'],
+        @swagger_auto_schema(operation_summary=_("Add ApiKey"),
+                             operation_id=_("Add ApiKey"),
+                             tags=[_('Application/API_KEY')],
                              manual_parameters=ApplicationApi.ApiKey.get_request_params_api())
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                             dynamic_tag=keywords.get('application_id'))],
             compare=CompareConstants.AND))
+        @log(menu='Application', operate="Add ApiKey",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def post(self, request: Request, application_id: str):
             return result.success(
                 ApplicationSerializer.ApplicationKeySerializer(
                     data={'application_id': application_id, 'user_id': request.user.id}).generate())
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取应用API_KEY列表",
-                             operation_id="获取应用API_KEY列表",
-                             tags=['应用/API_KEY'],
+        @swagger_auto_schema(operation_summary=_("Get the application API_KEY list"),
+                             operation_id=_("Get the application API_KEY list"),
+                             tags=[_('Application/API_KEY')],
                              manual_parameters=ApplicationApi.ApiKey.get_request_params_api()
                              )
         @has_permissions(ViewPermission(
@@ -358,17 +369,20 @@ class Application(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=['PUT'], detail=False)
-            @swagger_auto_schema(operation_summary="修改应用API_KEY",
-                                 operation_id="修改应用API_KEY",
-                                 tags=['应用/API_KEY'],
+            @swagger_auto_schema(operation_summary=_("Modify application API_KEY"),
+                                 operation_id=_("Modify application API_KEY"),
+                                 tags=[_('Application/API_KEY')],
                                  manual_parameters=ApplicationApi.ApiKey.Operate.get_request_params_api(),
-                                 request_body=ApplicationApi.ApiKey.Operate.get_request_body_api())
+                                 request_body=ApplicationApi.ApiKey.Operate.get_request_body_api(),
+                                 responses=result.get_api_response(ApplicationApi.ApiKey.Operate.get_response_body_api()))
             @has_permissions(ViewPermission(
                 [RoleConstants.ADMIN, RoleConstants.USER],
                 [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                                 dynamic_tag=keywords.get('application_id'))],
                 compare=CompareConstants.AND), PermissionConstants.APPLICATION_EDIT,
                 compare=CompareConstants.AND)
+            @log(menu='Application', operate="Modify application API_KEY",
+                 get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
             def put(self, request: Request, application_id: str, api_key_id: str):
                 return result.success(
                     ApplicationSerializer.ApplicationKeySerializer.Operate(
@@ -376,9 +390,9 @@ class Application(APIView):
                               'api_key_id': api_key_id}).edit(request.data))
 
             @action(methods=['DELETE'], detail=False)
-            @swagger_auto_schema(operation_summary="删除应用API_KEY",
-                                 operation_id="删除应用API_KEY",
-                                 tags=['应用/API_KEY'],
+            @swagger_auto_schema(operation_summary=_("Delete Application API_KEY"),
+                                 operation_id=_("Delete Application API_KEY"),
+                                 tags=[_('Application/API_KEY')],
                                  manual_parameters=ApplicationApi.ApiKey.Operate.get_request_params_api())
             @has_permissions(ViewPermission(
                 [RoleConstants.ADMIN, RoleConstants.USER],
@@ -386,6 +400,8 @@ class Application(APIView):
                                                 dynamic_tag=keywords.get('application_id'))],
                 compare=CompareConstants.AND), PermissionConstants.APPLICATION_DELETE,
                 compare=CompareConstants.AND)
+            @log(menu='Application', operate="Delete Application API_KEY",
+                 get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
             def delete(self, request: Request, application_id: str, api_key_id: str):
                 return result.success(
                     ApplicationSerializer.ApplicationKeySerializer.Operate(
@@ -396,26 +412,29 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['PUT'], detail=False)
-        @swagger_auto_schema(operation_summary="修改 应用AccessToken",
-                             operation_id="修改 应用AccessToken",
-                             tags=['应用/公开访问'],
+        @swagger_auto_schema(operation_summary=_("Modify Application AccessToken"),
+                             operation_id=_("Modify Application AccessToken"),
+                             tags=[_('Application/Public Access')],
                              manual_parameters=ApplicationApi.AccessToken.get_request_params_api(),
-                             request_body=ApplicationApi.AccessToken.get_request_body_api())
+                             request_body=ApplicationApi.AccessToken.get_request_body_api(),
+                             responses=result.get_api_response(ApplicationApi.AccessToken.get_response_body_api()))
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                             dynamic_tag=keywords.get('application_id'))],
             compare=CompareConstants.AND))
+        @log(menu='Application', operate="Modify Application AccessToken",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def put(self, request: Request, application_id: str):
             return result.success(
                 ApplicationSerializer.AccessTokenSerializer(data={'application_id': application_id}).edit(
                     request.data))
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取应用 AccessToken信息",
-                             operation_id="获取应用 AccessToken信息",
+        @swagger_auto_schema(operation_summary=_("Get the application AccessToken information"),
+                             operation_id=_("Get the application AccessToken information"),
                              manual_parameters=ApplicationApi.AccessToken.get_request_params_api(),
-                             tags=['应用/公开访问'],
+                             tags=[_('Application/Public Access')],
                              )
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
@@ -435,10 +454,11 @@ class Application(APIView):
                          "Access-Control-Allow-Headers": "Origin,Content-Type,Cookie,Accept,Token"}, )
 
         @action(methods=['POST'], detail=False)
-        @swagger_auto_schema(operation_summary="应用认证",
-                             operation_id="应用认证",
+        @swagger_auto_schema(operation_summary=_("Application Certification"),
+                             operation_id=_("Application Certification"),
                              request_body=ApplicationApi.Authentication.get_request_body_api(),
-                             tags=["应用/认证"],
+                             responses=result.get_api_response(ApplicationApi.Authentication.get_response_body_api()),
+                             tags=[_("Application/Certification")],
                              security=[])
         def post(self, request: Request):
             return result.success(
@@ -452,20 +472,23 @@ class Application(APIView):
             )
 
     @action(methods=['POST'], detail=False)
-    @swagger_auto_schema(operation_summary="创建应用",
-                         operation_id="创建应用",
+    @swagger_auto_schema(operation_summary=_("Create an application"),
+                         operation_id=_("Create an application"),
                          request_body=ApplicationApi.Create.get_request_body_api(),
-                         tags=['应用'])
+                         responses=result.get_api_response(ApplicationApi.Create.get_response_body_api()),
+                         tags=[_('Application')])
     @has_permissions(PermissionConstants.APPLICATION_CREATE, compare=CompareConstants.AND)
+    @log(menu='Application', operate="Create an application",
+         get_operation_object=lambda r, k: {'name': r.data.get('name')})
     def post(self, request: Request):
         return result.success(ApplicationSerializer.Create(data={'user_id': request.user.id}).insert(request.data))
 
     @action(methods=['GET'], detail=False)
-    @swagger_auto_schema(operation_summary="获取应用列表",
-                         operation_id="获取应用列表",
+    @swagger_auto_schema(operation_summary=_("Get the application list"),
+                         operation_id=_("Get the application list"),
                          manual_parameters=ApplicationApi.Query.get_request_params_api(),
                          responses=result.get_api_array_response(ApplicationApi.get_response_body_api()),
-                         tags=['应用'])
+                         tags=[_('Application')])
     @has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
     def get(self, request: Request):
         return result.success(
@@ -476,10 +499,10 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods="GET", detail=False)
-        @swagger_auto_schema(operation_summary="命中测试列表", operation_id="命中测试列表",
+        @swagger_auto_schema(operation_summary=_("Hit Test List"), operation_id=_("Hit Test List"),
                              manual_parameters=CommonApi.HitTestApi.get_request_params_api(),
                              responses=result.get_api_array_response(CommonApi.HitTestApi.get_response_body_api()),
-                             tags=["应用"])
+                             tags=[_("Application")])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN,
              RoleConstants.APPLICATION_KEY],
@@ -500,17 +523,19 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['PUT'], detail=False)
-        @swagger_auto_schema(operation_summary="发布应用",
-                             operation_id="发布应用",
+        @swagger_auto_schema(operation_summary=_("Publishing an application"),
+                             operation_id=_("Publishing an application"),
                              manual_parameters=ApplicationApi.Operate.get_request_params_api(),
                              request_body=ApplicationApi.Publish.get_request_body_api(),
                              responses=result.get_default_response(),
-                             tags=['应用'])
+                             tags=[_('Application')])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                             dynamic_tag=keywords.get('application_id'))],
             compare=CompareConstants.AND))
+        @log(menu='Application', operate="Publishing an application",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def put(self, request: Request, application_id: str):
             return result.success(
                 ApplicationSerializer.Operate(
@@ -520,11 +545,11 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['DELETE'], detail=False)
-        @swagger_auto_schema(operation_summary="删除应用",
-                             operation_id="删除应用",
+        @swagger_auto_schema(operation_summary=_("Deleting application"),
+                             operation_id=_("Deleting application"),
                              manual_parameters=ApplicationApi.Operate.get_request_params_api(),
                              responses=result.get_default_response(),
-                             tags=['应用'])
+                             tags=[_('Application')])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
@@ -532,23 +557,27 @@ class Application(APIView):
             compare=CompareConstants.AND),
             lambda r, k: Permission(group=Group.APPLICATION, operate=Operate.DELETE,
                                     dynamic_tag=k.get('application_id')), compare=CompareConstants.AND)
+        @log(menu='Application', operate="Deleting application",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def delete(self, request: Request, application_id: str):
             return result.success(ApplicationSerializer.Operate(
                 data={'application_id': application_id, 'user_id': request.user.id}).delete(
                 with_valid=True))
 
         @action(methods=['PUT'], detail=False)
-        @swagger_auto_schema(operation_summary="修改应用",
-                             operation_id="修改应用",
+        @swagger_auto_schema(operation_summary=_("Modify the application"),
+                             operation_id=_("Modify the application"),
                              manual_parameters=ApplicationApi.Operate.get_request_params_api(),
                              request_body=ApplicationApi.Edit.get_request_body_api(),
                              responses=result.get_api_array_response(ApplicationApi.get_response_body_api()),
-                             tags=['应用'])
+                             tags=[_('Application')])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                             dynamic_tag=keywords.get('application_id'))],
             compare=CompareConstants.AND))
+        @log(menu='Application', operate="Modify the application",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def put(self, request: Request, application_id: str):
             return result.success(
                 ApplicationSerializer.Operate(
@@ -556,11 +585,11 @@ class Application(APIView):
                     request.data))
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取应用详情",
-                             operation_id="获取应用详情",
+        @swagger_auto_schema(operation_summary=_("Get application details"),
+                             operation_id=_("Get application details"),
                              manual_parameters=ApplicationApi.Operate.get_request_params_api(),
                              responses=result.get_api_array_response(ApplicationApi.get_response_body_api()),
-                             tags=['应用'])
+                             tags=[_('Application')])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN,
              RoleConstants.APPLICATION_KEY],
@@ -575,12 +604,12 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取当前应用可使用的知识库",
-                             operation_id="获取当前应用可使用的知识库",
+        @swagger_auto_schema(operation_summary=_("Get the knowledge base available to the current application"),
+                             operation_id=_("Get the knowledge base available to the current application"),
                              manual_parameters=ApplicationApi.Operate.get_request_params_api(),
                              responses=result.get_api_array_response(
                                  DataSetSerializers.Query.get_response_body_api()),
-                             tags=['应用'])
+                             tags=[_('Application')])
         @has_permissions(ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
                                         [lambda r, keywords: Permission(group=Group.APPLICATION,
                                                                         operate=Operate.USE,
@@ -595,12 +624,12 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="分页获取应用列表",
-                             operation_id="分页获取应用列表",
+        @swagger_auto_schema(operation_summary=_("Get the application list by page"),
+                             operation_id=_("Get the application list by page"),
                              manual_parameters=result.get_page_request_params(
                                  ApplicationApi.Query.get_request_params_api()),
                              responses=result.get_page_api_response(ApplicationApi.get_response_body_api()),
-                             tags=['应用'])
+                             tags=[_('Application')])
         @has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
         def get(self, request: Request, current_page: int, page_size: int):
             return result.success(
@@ -628,6 +657,12 @@ class Application(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['POST'], detail=False)
+        @swagger_auto_schema(operation_summary=_("text to speech"),
+                             operation_id=_("text to speech"),
+                             manual_parameters=ApplicationApi.TextToSpeech.get_request_params_api(),
+                             request_body=ApplicationApi.TextToSpeech.get_request_body_api(),
+                             responses=result.get_default_response(),
+                             tags=[_('Application')])
         @has_permissions(
             ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN],
                            [lambda r, keywords: Permission(group=Group.APPLICATION,
@@ -653,8 +688,19 @@ class Application(APIView):
                                                            dynamic_tag=keywords.get(
                                                                'application_id'))],
                            compare=CompareConstants.AND))
+        @log(menu='Application', operate="trial listening",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def post(self, request: Request, application_id: str):
             byte_data = ApplicationSerializer.Operate(
                 data={'application_id': application_id, 'user_id': request.user.id}).play_demo_text(request.data)
             return HttpResponse(byte_data, status=200, headers={'Content-Type': 'audio/mp3',
                                                                 'Content-Disposition': 'attachment; filename="abc.mp3"'})
+
+    class McpServers(APIView):
+        authentication_classes = [TokenAuth]
+
+        @action(methods=['GET'], detail=False)
+        @has_permissions(PermissionConstants.APPLICATION_READ, compare=CompareConstants.AND)
+        def get(self, request: Request):
+            return result.success(ApplicationSerializer.McpServers(
+                data={'mcp_servers': request.query_params.get('mcp_servers')}).get_mcp_servers())

apps/application/views/chat_views.py

@@ -7,8 +7,11 @@
     @desc:
 """
 
+from django.utils.translation import gettext_lazy as _
+from drf_yasg import openapi
 from drf_yasg.utils import swagger_auto_schema
 from rest_framework.decorators import action
+from rest_framework.parsers import MultiPartParser
 from rest_framework.request import Request
 from rest_framework.views import APIView
 
@@ -16,10 +19,12 @@ from application.serializers.chat_message_serializers import ChatMessageSerializ
 from application.serializers.chat_serializers import ChatSerializers, ChatRecordSerializer
 from application.swagger_api.chat_api import ChatApi, VoteApi, ChatRecordApi, ImproveApi, ChatRecordImproveApi, \
     ChatClientHistoryApi, OpenAIChatApi
+from application.views import get_application_operation_object
 from common.auth import TokenAuth, has_permissions, OpenAIKeyAuth
 from common.constants.authentication_type import AuthenticationType
 from common.constants.permission_constants import Permission, Group, Operate, \
     RoleConstants, ViewPermission, CompareConstants
+from common.log.log import log
 from common.response import result
 from common.util.common import query_params_to_single_dict
 from dataset.serializers.file_serializers import FileSerializer
@@ -29,10 +34,11 @@ class Openai(APIView):
     authentication_classes = [OpenAIKeyAuth]
 
     @action(methods=['POST'], detail=False)
-    @swagger_auto_schema(operation_summary="openai接口对话",
-                         operation_id="openai接口对话",
+    @swagger_auto_schema(operation_summary=_("OpenAI Interface Dialogue"),
+                         operation_id=_("OpenAI Interface Dialogue"),
                          request_body=OpenAIChatApi.get_request_body_api(),
-                         tags=["openai对话"])
+                         responses=OpenAIChatApi.get_response_body_api(),
+                         tags=[_("OpenAI Dialogue")])
     def post(self, request: Request, application_id: str):
         return OpenAIChatSerializer(data={'application_id': application_id, 'client_id': request.auth.client_id,
                                           'client_type': request.auth.client_type}).chat(request.data)
@@ -45,16 +51,18 @@ class ChatView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['POST'], detail=False)
-        @swagger_auto_schema(operation_summary="导出对话",
-                             operation_id="导出对话",
+        @swagger_auto_schema(operation_summary=_("Export conversation"),
+                             operation_id=_("Export conversation"),
                              manual_parameters=ChatApi.get_request_params_api(),
-                             tags=["应用/对话日志"]
+                             tags=[_("Application/Conversation Log")]
                              )
         @has_permissions(
             ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
                            [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
                                                            dynamic_tag=keywords.get('application_id'))])
         )
+        @log(menu='Conversation Log', operate="Export conversation",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def post(self, request: Request, application_id: str):
             return ChatSerializers.Query(
                 data={**query_params_to_single_dict(request.query_params), 'application_id': application_id,
@@ -64,10 +72,10 @@ class ChatView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取会话id,根据应用id",
-                             operation_id="获取会话id,根据应用id",
+        @swagger_auto_schema(operation_summary=_("Get the session id according to the application id"),
+                             operation_id=_("Get the session id according to the application id"),
                              manual_parameters=ChatApi.OpenChat.get_request_params_api(),
-                             tags=["应用/会话"])
+                             tags=[_("Application/Chat")])
         @has_permissions(
             ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_ACCESS_TOKEN,
                             RoleConstants.APPLICATION_KEY],
@@ -83,22 +91,24 @@ class ChatView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['POST'], detail=False)
-        @swagger_auto_schema(operation_summary="获取工作流临时会话id",
-                             operation_id="获取工作流临时会话id",
+        @swagger_auto_schema(operation_summary=_("Get the workflow temporary session id"),
+                             operation_id=_("Get the workflow temporary session id"),
                              request_body=ChatApi.OpenWorkFlowTemp.get_request_body_api(),
-                             tags=["应用/会话"])
+                             responses=result.get_api_response(ChatApi.OpenTempChat.get_response_body_api()),
+                             tags=[_("Application/Chat")])
         def post(self, request: Request):
             return result.success(ChatSerializers.OpenWorkFlowChat(
-                data={**request.data, 'user_id': request.user.id}).open())
+                data={'user_id': request.user.id, **request.data}).open())
 
     class OpenTemp(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['POST'], detail=False)
-        @swagger_auto_schema(operation_summary="获取会话id(根据模型id,知识库列表,是否多轮会话)",
-                             operation_id="获取会话id",
+        @swagger_auto_schema(operation_summary=_("Get a temporary session id"),
+                             operation_id=_("Get a temporary session id"),
                              request_body=ChatApi.OpenTempChat.get_request_body_api(),
-                             tags=["应用/会话"])
+                             responses=result.get_api_response(ChatApi.OpenTempChat.get_response_body_api()),
+                             tags=[_("Application/Chat")])
         @has_permissions(RoleConstants.ADMIN, RoleConstants.USER)
         def post(self, request: Request):
             return result.success(ChatSerializers.OpenTempChat(
@@ -108,10 +118,10 @@ class ChatView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['POST'], detail=False)
-        @swagger_auto_schema(operation_summary="对话",
-                             operation_id="对话",
+        @swagger_auto_schema(operation_summary=_("dialogue"),
+                             operation_id=_("dialogue"),
                              request_body=ChatApi.get_request_body_api(),
-                             tags=["应用/会话"])
+                             tags=[_("Application/Chat")])
         @has_permissions(
             ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,
                             RoleConstants.APPLICATION_ACCESS_TOKEN],
@@ -136,6 +146,8 @@ class ChatView(APIView):
                                                    'document_list') if 'document_list' in request.data else [],
                                                'audio_list': request.data.get(
                                                    'audio_list') if 'audio_list' in request.data else [],
+                                               'other_list': request.data.get(
+                                                   'other_list') if 'other_list' in request.data else [],
                                                'client_type': request.auth.client_type,
                                                'node_id': request.data.get('node_id', None),
                                                'runtime_node_id': request.data.get('runtime_node_id', None),
@@ -145,11 +157,11 @@ class ChatView(APIView):
                                          ).chat()
 
     @action(methods=['GET'], detail=False)
-    @swagger_auto_schema(operation_summary="获取对话列表",
-                         operation_id="获取对话列表",
+    @swagger_auto_schema(operation_summary=_("Get the conversation list"),
+                         operation_id=_("Get the conversation list"),
                          manual_parameters=ChatApi.get_request_params_api(),
                          responses=result.get_api_array_response(ChatApi.get_response_body_api()),
-                         tags=["应用/对话日志"]
+                         tags=[_("Application/Conversation Log")]
                          )
     @has_permissions(
         ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
@@ -165,15 +177,17 @@ class ChatView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['DELETE'], detail=False)
-        @swagger_auto_schema(operation_summary="删除对话",
-                             operation_id="删除对话",
-                             tags=["应用/对话日志"])
+        @swagger_auto_schema(operation_summary=_("Delete a conversation"),
+                             operation_id=_("Delete a conversation"),
+                             tags=[_("Application/Conversation Log")])
         @has_permissions(ViewPermission(
             [RoleConstants.ADMIN, RoleConstants.USER],
             [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.MANAGE,
                                             dynamic_tag=keywords.get('application_id'))],
             compare=CompareConstants.AND),
             compare=CompareConstants.AND)
+        @log(menu='Conversation Log', operate="Delete a conversation",
+             get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
         def delete(self, request: Request, application_id: str, chat_id: str):
             return result.success(
                 ChatSerializers.Operate(
@@ -184,12 +198,12 @@ class ChatView(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="分页获取客户端对话列表",
-                             operation_id="分页获取客户端对话列表",
+        @swagger_auto_schema(operation_summary=_("Get client conversation list by paging"),
+                             operation_id=_("Get client conversation list by paging"),
                              manual_parameters=result.get_page_request_params(
                                  ChatClientHistoryApi.get_request_params_api()),
                              responses=result.get_page_api_response(ChatApi.get_response_body_api()),
-                             tags=["应用/对话日志"]
+                             tags=[_("Application/Conversation Log")]
                              )
         @has_permissions(
             ViewPermission([RoleConstants.APPLICATION_ACCESS_TOKEN],
@@ -206,30 +220,52 @@ class ChatView(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=['DELETE'], detail=False)
-            @swagger_auto_schema(operation_summary="客户端删除对话",
-                                 operation_id="客户端删除对话",
-                                 tags=["应用/对话日志"])
+            @swagger_auto_schema(operation_summary=_("Client deletes conversation"),
+                                 operation_id=_("Client deletes conversation"),
+                                 tags=[_("Application/Conversation Log")])
             @has_permissions(ViewPermission(
                 [RoleConstants.APPLICATION_ACCESS_TOKEN],
                 [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
                                                 dynamic_tag=keywords.get('application_id'))],
                 compare=CompareConstants.AND),
                 compare=CompareConstants.AND)
+            @log(menu='Conversation Log', operate="Client deletes conversation",
+                 get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
             def delete(self, request: Request, application_id: str, chat_id: str):
                 return result.success(
                     ChatSerializers.Operate(
                         data={'application_id': application_id, 'user_id': request.user.id,
                               'chat_id': chat_id}).logic_delete())
 
+            @action(methods=['PUT'], detail=False)
+            @swagger_auto_schema(operation_summary=_("Client modifies dialogue summary"),
+                                 operation_id=_("Client modifies dialogue summary"),
+                                 request_body=ChatClientHistoryApi.Operate.ReAbstract.get_request_body_api(),
+                                 responses=result.get_default_response(),
+                                 tags=[_("Application/Conversation Log")])
+            @has_permissions(ViewPermission(
+                [RoleConstants.APPLICATION_ACCESS_TOKEN, RoleConstants.ADMIN, RoleConstants.USER],
+                [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
+                                                dynamic_tag=keywords.get('application_id'))],
+                compare=CompareConstants.AND),
+                compare=CompareConstants.AND)
+            @log(menu='Conversation Log', operate="Client modifies dialogue summary",
+                 get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
+            def put(self, request: Request, application_id: str, chat_id: str):
+                return result.success(
+                    ChatSerializers.Operate(
+                        data={'application_id': application_id, 'user_id': request.user.id,
+                              'chat_id': chat_id}).re_abstract(request.data))
+
     class Page(APIView):
         authentication_classes = [TokenAuth]
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="分页获取对话列表",
-                             operation_id="分页获取对话列表",
+        @swagger_auto_schema(operation_summary=_("Get the conversation list by page"),
+                             operation_id=_("Get the conversation list by page"),
                              manual_parameters=result.get_page_request_params(ChatApi.get_request_params_api()),
                              responses=result.get_page_api_response(ChatApi.get_response_body_api()),
-                             tags=["应用/对话日志"]
+                             tags=[_("Application/Conversation Log")]
                              )
         @has_permissions(
             ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
@@ -249,11 +285,11 @@ class ChatView(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=['GET'], detail=False)
-            @swagger_auto_schema(operation_summary="获取对话记录详情",
-                                 operation_id="获取对话记录详情",
+            @swagger_auto_schema(operation_summary=_("Get conversation record details"),
+                                 operation_id=_("Get conversation record details"),
                                  manual_parameters=ChatRecordApi.get_request_params_api(),
                                  responses=result.get_api_array_response(ChatRecordApi.get_response_body_api()),
-                                 tags=["应用/对话日志"]
+                                 tags=[_("Application/Conversation Log")]
                                  )
             @has_permissions(
                 ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,
@@ -268,11 +304,11 @@ class ChatView(APIView):
                           'chat_record_id': chat_record_id}).one(request.auth.current_role))
 
         @action(methods=['GET'], detail=False)
-        @swagger_auto_schema(operation_summary="获取对话记录列表",
-                             operation_id="获取对话记录列表",
+        @swagger_auto_schema(operation_summary=_("Get a list of conversation records"),
+                             operation_id=_("Get a list of conversation records"),
                              manual_parameters=ChatRecordApi.get_request_params_api(),
                              responses=result.get_api_array_response(ChatRecordApi.get_response_body_api()),
-                             tags=["应用/对话日志"]
+                             tags=[_("Application/Conversation Log")]
                              )
         @has_permissions(
             ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
@@ -288,12 +324,12 @@ class ChatView(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=['GET'], detail=False)
-            @swagger_auto_schema(operation_summary="获取对话记录列表",
-                                 operation_id="获取对话记录列表",
+            @swagger_auto_schema(operation_summary=_("Get the conversation history list by page"),
+                                 operation_id=_("Get the conversation history list by page"),
                                  manual_parameters=result.get_page_request_params(
                                      ChatRecordApi.get_request_params_api()),
                                  responses=result.get_page_api_response(ChatRecordApi.get_response_body_api()),
-                                 tags=["应用/对话日志"]
+                                 tags=[_("Application/Conversation Log")]
                                  )
             @has_permissions(
                 ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY],
@@ -310,12 +346,12 @@ class ChatView(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=['PUT'], detail=False)
-            @swagger_auto_schema(operation_summary="点赞,点踩",
-                                 operation_id="点赞,点踩",
+            @swagger_auto_schema(operation_summary=_("Like, Dislike"),
+                                 operation_id=_("Like, Dislike"),
                                  manual_parameters=VoteApi.get_request_params_api(),
                                  request_body=VoteApi.get_request_body_api(),
                                  responses=result.get_default_response(),
-                                 tags=["应用/会话"]
+                                 tags=[_("Application/Chat")]
                                  )
             @has_permissions(
                 ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,
@@ -323,6 +359,8 @@ class ChatView(APIView):
                                [lambda r, keywords: Permission(group=Group.APPLICATION, operate=Operate.USE,
                                                                dynamic_tag=keywords.get('application_id'))])
             )
+            @log(menu='Conversation Log', operate="Like, Dislike",
+                 get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
             def put(self, request: Request, application_id: str, chat_id: str, chat_record_id: str):
                 return result.success(ChatRecordSerializer.Vote(
                     data={'vote_status': request.data.get('vote_status'), 'chat_id': chat_id,
@@ -332,11 +370,11 @@ class ChatView(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=['GET'], detail=False)
-            @swagger_auto_schema(operation_summary="获取标注段落列表信息",
-                                 operation_id="获取标注段落列表信息",
+            @swagger_auto_schema(operation_summary=_("Get the list of marked paragraphs"),
+                                 operation_id=_("Get the list of marked paragraphs"),
                                  manual_parameters=ChatRecordImproveApi.get_request_params_api(),
                                  responses=result.get_api_response(ChatRecordImproveApi.get_response_body_api()),
-                                 tags=["应用/对话日志/标注"]
+                                 tags=[_("Application/Conversation Log/Annotation")]
                                  )
             @has_permissions(
                 ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
@@ -351,12 +389,12 @@ class ChatView(APIView):
             authentication_classes = [TokenAuth]
 
             @action(methods=['PUT'], detail=False)
-            @swagger_auto_schema(operation_summary="标注",
-                                 operation_id="标注",
+            @swagger_auto_schema(operation_summary=_("Annotation"),
+                                 operation_id=_("Annotation"),
                                  manual_parameters=ImproveApi.get_request_params_api(),
                                  request_body=ImproveApi.get_request_body_api(),
                                  responses=result.get_api_response(ChatRecordApi.get_response_body_api()),
-                                 tags=["应用/对话日志/标注"]
+                                 tags=[_("Application/Conversation Log/Annotation")]
                                  )
             @has_permissions(
                 ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
@@ -370,6 +408,8 @@ class ChatView(APIView):
                                                                                      'dataset_id'))],
                                                  compare=CompareConstants.AND
                                                  ), compare=CompareConstants.AND)
+            @log(menu='Conversation Log', operate="Annotation",
+                 get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
             def put(self, request: Request, application_id: str, chat_id: str, chat_record_id: str, dataset_id: str,
                     document_id: str):
                 return result.success(ChatRecordSerializer.Improve(
@@ -377,11 +417,12 @@ class ChatView(APIView):
                           'dataset_id': dataset_id, 'document_id': document_id}).improve(request.data))
 
             @action(methods=['POST'], detail=False)
-            @swagger_auto_schema(operation_summary="添加至知识库",
-                                 operation_id="添加至知识库",
+            @swagger_auto_schema(operation_summary=_("Add to Knowledge Base"),
+                                 operation_id=_("Add to Knowledge Base"),
                                  manual_parameters=ImproveApi.get_request_params_api_post(),
                                  request_body=ImproveApi.get_request_body_api_post(),
-                                 tags=["应用/对话日志/添加至知识库"]
+                                 responses=result.get_default_response(),
+                                 tags=[_("Application/Conversation Log/Add to Knowledge Base")]
                                  )
             @has_permissions(
                 ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
@@ -395,6 +436,8 @@ class ChatView(APIView):
                                                                                      'dataset_id'))],
                                                  compare=CompareConstants.AND
                                                  ), compare=CompareConstants.AND)
+            @log(menu='Conversation Log', operate="Add to Knowledge Base",
+                 get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
             def post(self, request: Request, application_id: str, dataset_id: str):
                 return result.success(ChatRecordSerializer.PostImprove().post_improve(request.data))
 
@@ -402,11 +445,11 @@ class ChatView(APIView):
                 authentication_classes = [TokenAuth]
 
                 @action(methods=['DELETE'], detail=False)
-                @swagger_auto_schema(operation_summary="标注",
-                                     operation_id="标注",
+                @swagger_auto_schema(operation_summary=_("Delete a Annotation"),
+                                     operation_id=_("Delete a Annotation"),
                                      manual_parameters=ImproveApi.get_request_params_api(),
                                      responses=result.get_api_response(ChatRecordApi.get_response_body_api()),
-                                     tags=["应用/对话日志/标注"]
+                                     tags=[_("Application/Conversation Log/Annotation")]
                                      )
                 @has_permissions(
                     ViewPermission([RoleConstants.ADMIN, RoleConstants.USER],
@@ -420,6 +463,8 @@ class ChatView(APIView):
                                                                                          'dataset_id'))],
                                                      compare=CompareConstants.AND
                                                      ), compare=CompareConstants.AND)
+                @log(menu='Conversation Log', operate="Delete a Annotation",
+                     get_operation_object=lambda r, k: get_application_operation_object(k.get('application_id')))
                 def delete(self, request: Request, application_id: str, chat_id: str, chat_record_id: str,
                            dataset_id: str,
                            document_id: str, paragraph_id: str):
@@ -430,12 +475,29 @@ class ChatView(APIView):
 
     class UploadFile(APIView):
         authentication_classes = [TokenAuth]
+        parser_classes = [MultiPartParser]
 
         @action(methods=['POST'], detail=False)
-        @swagger_auto_schema(operation_summary="上传文件",
-                             operation_id="上传文件",
-                             manual_parameters=ChatRecordApi.get_request_params_api(),
-                             tags=["应用/对话日志"]
+        @swagger_auto_schema(operation_summary=_("Upload files"),
+                             operation_id=_("Upload files"),
+                             manual_parameters=[
+                                 openapi.Parameter(name='application_id',
+                                                   in_=openapi.IN_PATH,
+                                                   type=openapi.TYPE_STRING,
+                                                   required=True,
+                                                   description=_('Application ID')),
+                                 openapi.Parameter(name='chat_id',
+                                                   in_=openapi.IN_PATH,
+                                                   type=openapi.TYPE_STRING,
+                                                   required=True,
+                                                   description=_('Conversation ID')),
+                                 openapi.Parameter(name='file',
+                                                   in_=openapi.IN_FORM,
+                                                   type=openapi.TYPE_FILE,
+                                                   required=True,
+                                                   description=_('Upload file'))
+                             ],
+                             tags=[_("Application/Conversation Log")]
                              )
         @has_permissions(
             ViewPermission([RoleConstants.ADMIN, RoleConstants.USER, RoleConstants.APPLICATION_KEY,

apps/application/views/common.py

@@ -0,0 +1,21 @@
+# coding=utf-8
+"""
+    @project: MaxKB
+    @Author：虎
+    @file： common.py
+    @date：2025/3/25 16:56
+    @desc:
+"""
+
+from django.db.models import QuerySet
+
+from application.models import Application
+
+
+def get_application_operation_object(application_id):
+    application_model = QuerySet(model=Application).filter(id=application_id).first()
+    if application_model is not None:
+        return {
+            "name": application_model.name
+        }
+    return {}

apps/common/auth/authenticate.py

@@ -16,7 +16,7 @@ from rest_framework.authentication import TokenAuthentication
 
 from common.exception.app_exception import AppAuthenticationFailed, AppEmbedIdentityFailed, AppChatNumOutOfBoundsFailed, \
     ChatException, AppApiException
-
+from django.utils.translation import gettext_lazy as _
 token_cache = cache.caches['token_cache']
 
 
@@ -59,19 +59,19 @@ class OpenAIKeyAuth(TokenAuthentication):
         auth = auth.replace('Bearer ', '')
         # 未认证
         if auth is None:
-            raise AppAuthenticationFailed(1003, '未登录,请先登录')
+            raise AppAuthenticationFailed(1003, _('Not logged in, please log in first'))
         try:
             token_details = TokenDetails(auth)
             for handle in handles:
                 if handle.support(request, auth, token_details.get_token_details):
                     return handle.handle(request, auth, token_details.get_token_details)
-            raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
+            raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))
         except Exception as e:
             traceback.format_exc()
             if isinstance(e, AppEmbedIdentityFailed) or isinstance(e, AppChatNumOutOfBoundsFailed) or isinstance(e,
                                                                                                                  AppApiException):
                 raise e
-            raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
+            raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))
 
 
 class TokenAuth(TokenAuthentication):
@@ -80,16 +80,16 @@ class TokenAuth(TokenAuthentication):
         auth = request.META.get('HTTP_AUTHORIZATION')
         # 未认证
         if auth is None:
-            raise AppAuthenticationFailed(1003, '未登录,请先登录')
+            raise AppAuthenticationFailed(1003, _('Not logged in, please log in first'))
         try:
             token_details = TokenDetails(auth)
             for handle in handles:
                 if handle.support(request, auth, token_details.get_token_details):
                     return handle.handle(request, auth, token_details.get_token_details)
-            raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
+            raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))
         except Exception as e:
             traceback.format_exc()
             if isinstance(e, AppEmbedIdentityFailed) or isinstance(e, AppChatNumOutOfBoundsFailed) or isinstance(e,
                                                                                                                  AppApiException):
                 raise e
-            raise AppAuthenticationFailed(1002, "身份验证信息不正确！非法用户")
+            raise AppAuthenticationFailed(1002, _('Authentication information is incorrect! illegal user'))

apps/common/auth/authentication.py

@@ -11,7 +11,7 @@ from typing import List
 from common.constants.permission_constants import ViewPermission, CompareConstants, RoleConstants, PermissionConstants, \
     Permission
 from common.exception.app_exception import AppUnauthorizedFailed
-
+from django.utils.translation import gettext_lazy as _
 
 def exist_permissions_by_permission_constants(user_permission: List[PermissionConstants],
                                               permission_list: List[PermissionConstants]):
@@ -91,7 +91,7 @@ def has_permissions(*permission, compare=CompareConstants.OR):
             # 判断是否有权限
             if any(exit_list) if compare == CompareConstants.OR else all(exit_list):
                 return func(view, request, **kwargs)
-            raise AppUnauthorizedFailed(403, "没有权限访问")
+            raise AppUnauthorizedFailed(403, _('No permission to access'))
 
         return run
 

apps/common/auth/handle/impl/application_key.py

@@ -13,15 +13,16 @@ from common.auth.handle.auth_base_handle import AuthBaseHandle
 from common.constants.authentication_type import AuthenticationType
 from common.constants.permission_constants import Permission, Group, Operate, RoleConstants, Auth
 from common.exception.app_exception import AppAuthenticationFailed
+from django.utils.translation import gettext_lazy as _
 
 
 class ApplicationKey(AuthBaseHandle):
     def handle(self, request, token: str, get_token_details):
         application_api_key = QuerySet(ApplicationApiKey).filter(secret_key=token).first()
         if application_api_key is None:
-            raise AppAuthenticationFailed(500, "secret_key 无效")
+            raise AppAuthenticationFailed(500, _('Secret key is invalid'))
         if not application_api_key.is_active:
-            raise AppAuthenticationFailed(500, "secret_key 无效")
+            raise AppAuthenticationFailed(500, _('Secret key is invalid'))
         permission_list = [Permission(group=Group.APPLICATION,
                                       operate=Operate.USE,
                                       dynamic_tag=str(

apps/common/auth/handle/impl/public_access_token.py

@@ -15,7 +15,7 @@ from common.constants.permission_constants import RoleConstants, Permission, Gro
 from common.exception.app_exception import AppAuthenticationFailed, ChatException
 from common.models.db_model_manage import DBModelManage
 from common.util.common import password_encrypt
-
+from django.utils.translation import gettext_lazy as _
 
 class PublicAccessToken(AuthBaseHandle):
     def support(self, request, token: str, get_token_details):
@@ -45,13 +45,13 @@ class PublicAccessToken(AuthBaseHandle):
                     if application_setting.authentication_value.get('type') != authentication.get(
                             'type') or password_encrypt(
                         application_setting.authentication_value.get('value')) != authentication.get('value'):
-                        raise ChatException(1002, "身份验证信息不正确")
+                        raise ChatException(1002, _('Authentication information is incorrect'))
         if application_access_token is None:
-            raise AppAuthenticationFailed(1002, "身份验证信息不正确")
+            raise AppAuthenticationFailed(1002, _('Authentication information is incorrect'))
         if not application_access_token.is_active:
-            raise AppAuthenticationFailed(1002, "身份验证信息不正确")
+            raise AppAuthenticationFailed(1002, _('Authentication information is incorrect'))
         if not application_access_token.access_token == auth_details.get('access_token'):
-            raise AppAuthenticationFailed(1002, "身份验证信息不正确")
+            raise AppAuthenticationFailed(1002, _('Authentication information is incorrect'))
 
         return application_access_token.application.user, Auth(
             role_list=[RoleConstants.APPLICATION_ACCESS_TOKEN],

apps/common/auth/handle/impl/user_token.py

@@ -17,7 +17,7 @@ from users.models import User
 from django.core import cache
 
 from users.models.user import get_user_dynamics_permission
-
+from django.utils.translation import gettext_lazy as _
 token_cache = cache.caches['token_cache']
 
 
@@ -31,7 +31,7 @@ class UserToken(AuthBaseHandle):
     def handle(self, request, token: str, get_token_details):
         cache_token = token_cache.get(token)
         if cache_token is None:
-            raise AppAuthenticationFailed(1002, "登录过期")
+            raise AppAuthenticationFailed(1002, _('Login expired'))
         auth_details = get_token_details()
         user = QuerySet(User).get(id=auth_details['id'])
         # 续期

apps/common/config/embedding_config.py

@@ -11,35 +11,50 @@ import time
 
 from common.cache.mem_cache import MemCache
 
-lock = threading.Lock()
+_lock = threading.Lock()
+locks = {}
 
 
 class ModelManage:
     cache = MemCache('model', {})
     up_clear_time = time.time()
 
+    @staticmethod
+    def _get_lock(_id):
+        lock = locks.get(_id)
+        if lock is None:
+            with _lock:
+                lock = locks.get(_id)
+                if lock is None:
+                    lock = threading.Lock()
+                    locks[_id] = lock
+
+        return lock
+
     @staticmethod
     def get_model(_id, get_model):
-        # 获取锁
-        lock.acquire()
-        try:
-            model_instance = ModelManage.cache.get(_id)
-            if model_instance is None or not model_instance.is_cache_model():
+        model_instance = ModelManage.cache.get(_id)
+        if model_instance is None:
+            lock = ModelManage._get_lock(_id)
+            with lock:
+                model_instance = ModelManage.cache.get(_id)
+                if model_instance is None:
+                    model_instance = get_model(_id)
+                    ModelManage.cache.set(_id, model_instance, timeout=60 * 60 * 8)
+        else:
+            if model_instance.is_cache_model():
+                ModelManage.cache.touch(_id, timeout=60 * 60 * 8)
+            else:
                 model_instance = get_model(_id)
-                ModelManage.cache.set(_id, model_instance, timeout=60 * 30)
-                return model_instance
-            # 续期
-            ModelManage.cache.touch(_id, timeout=60 * 30)
-            ModelManage.clear_timeout_cache()
-            return model_instance
-        finally:
-            # 释放锁
-            lock.release()
+                ModelManage.cache.set(_id, model_instance, timeout=60 * 60 * 8)
+        ModelManage.clear_timeout_cache()
+        return model_instance
 
     @staticmethod
     def clear_timeout_cache():
-        if time.time() - ModelManage.up_clear_time > 60:
-            ModelManage.cache.clear_timeout_data()
+        if time.time() - ModelManage.up_clear_time > 60 * 60:
+            threading.Thread(target=lambda: ModelManage.cache.clear_timeout_data()).start()
+            ModelManage.up_clear_time = time.time()
 
     @staticmethod
     def delete_key(_id):

apps/common/config/swagger_conf.py

@@ -6,7 +6,7 @@
     @date：2023/9/5 14:01
     @desc: 用于swagger 分组
 """
-
+from drf_yasg.generators import OpenAPISchemaGenerator
 from drf_yasg.inspectors import SwaggerAutoSchema
 
 tags_dict = {
@@ -20,10 +20,10 @@ class CustomSwaggerAutoSchema(SwaggerAutoSchema):
         if "api" in tags and operation_keys:
             return [tags_dict.get(operation_keys[1]) if operation_keys[1] in tags_dict else operation_keys[1]]
         return tags
+
+
+class CustomOpenAPISchemaGenerator(OpenAPISchemaGenerator):
     def get_schema(self, request=None, public=False):
         schema = super().get_schema(request, public)
-        if request.is_secure():
-            schema.schemes = ['https']
-        else:
-            schema.schemes = ['http']
-        return schema
+        schema.schemes = ['https', 'http']
+        return schema

apps/common/constants/exception_code_constants.py

@@ -9,6 +9,7 @@
 from enum import Enum
 
 from common.exception.app_exception import AppApiException
+from django.utils.translation import gettext_lazy as _
 
 
 class ExceptionCodeConstantsValue:
@@ -27,13 +28,16 @@ class ExceptionCodeConstantsValue:
 
 
 class ExceptionCodeConstants(Enum):
-    INCORRECT_USERNAME_AND_PASSWORD = ExceptionCodeConstantsValue(1000, "用户名或者密码不正确")
-    NOT_AUTHENTICATION = ExceptionCodeConstantsValue(1001, "请先登录,并携带用户Token")
-    EMAIL_SEND_ERROR = ExceptionCodeConstantsValue(1002, "邮件发送失败")
-    EMAIL_FORMAT_ERROR = ExceptionCodeConstantsValue(1003, "邮箱格式错误")
-    EMAIL_IS_EXIST = ExceptionCodeConstantsValue(1004, "邮箱已经被注册,请勿重复注册")
-    EMAIL_IS_NOT_EXIST = ExceptionCodeConstantsValue(1005, "邮箱尚未注册,请先注册")
-    CODE_ERROR = ExceptionCodeConstantsValue(1005, "验证码不正确,或者验证码过期")
-    USERNAME_IS_EXIST = ExceptionCodeConstantsValue(1006, "用户名已被使用,请使用其他用户名")
-    USERNAME_ERROR = ExceptionCodeConstantsValue(1006, "用户名不能为空,并且长度在6-20")
-    PASSWORD_NOT_EQ_RE_PASSWORD = ExceptionCodeConstantsValue(1007, "密码与确认密码不一致")
+    INCORRECT_USERNAME_AND_PASSWORD = ExceptionCodeConstantsValue(1000, _('The username or password is incorrect'))
+    NOT_AUTHENTICATION = ExceptionCodeConstantsValue(1001, _('Please log in first and bring the user Token'))
+    EMAIL_SEND_ERROR = ExceptionCodeConstantsValue(1002, _('Email sending failed'))
+    EMAIL_FORMAT_ERROR = ExceptionCodeConstantsValue(1003, _('Email format error'))
+    EMAIL_IS_EXIST = ExceptionCodeConstantsValue(1004, _('The email has been registered, please log in directly'))
+    EMAIL_IS_NOT_EXIST = ExceptionCodeConstantsValue(1005, _('The email is not registered, please register first'))
+    CODE_ERROR = ExceptionCodeConstantsValue(1005,
+                                             _('The verification code is incorrect or the verification code has expired'))
+    USERNAME_IS_EXIST = ExceptionCodeConstantsValue(1006, _('The username has been registered, please log in directly'))
+    USERNAME_ERROR = ExceptionCodeConstantsValue(1006,
+                                                 _('The username cannot be empty and must be between 6 and 20 characters long.'))
+    PASSWORD_NOT_EQ_RE_PASSWORD = ExceptionCodeConstantsValue(1007,
+                                                              _('Password and confirmation password are inconsistent'))

apps/common/constants/permission_constants.py

@@ -7,7 +7,7 @@
 """
 from enum import Enum
 from typing import List
-
+from django.utils.translation import gettext_lazy as _
 
 class Group(Enum):
     """
@@ -58,10 +58,10 @@ class Role:
 
 
 class RoleConstants(Enum):
-    ADMIN = Role("管理员", "管理员,预制目前不会使用", RoleGroup.USER)
-    USER = Role("用户", "用户所有权限", RoleGroup.USER)
-    APPLICATION_ACCESS_TOKEN = Role("会话", "只拥有应用会话框接口权限", RoleGroup.APPLICATION_ACCESS_TOKEN),
-    APPLICATION_KEY = Role("应用私钥", "应用私钥", RoleGroup.APPLICATION_KEY)
+    ADMIN = Role(_("ADMIN"), _('Admin, prefabs are not currently used'), RoleGroup.USER)
+    USER = Role(_("USER"), _('All user permissions'), RoleGroup.USER)
+    APPLICATION_ACCESS_TOKEN = Role(_('chat'), _('Only has application dialog interface permissions'), RoleGroup.APPLICATION_ACCESS_TOKEN),
+    APPLICATION_KEY = Role(_('Apply private key'), _('Apply private key'), RoleGroup.APPLICATION_KEY)
 
 
 class Permission: