config (#662)

Signed-off-by: Carson Yang <yangchuansheng33@gmail.com>

.dockerignore

@@ -8,4 +8,5 @@ README.md
 
 .yalc/
 yalc.lock
-testApi/
+testApi/
+*.local.*

.gitignore

@@ -35,4 +35,5 @@ dist/
 **/.hugo_build.lock
 docSite/public/
 docSite/resources/_gen/
-docSite/.vercel
+docSite/.vercel
+*.local.*

Dockerfile

@@ -76,6 +76,11 @@ COPY --from=builder --chown=nextjs:nodejs /app/projects/$name/.next/static /app/
 COPY --from=builder /app/projects/$name/package.json ./package.json 
 # copy woker
 COPY --from=workerDeps /app/worker /app/worker
+# copy config
+COPY ./projects/$name/data/config.json /app/data/config.json
+COPY ./projects/$name/data/pluginTemplates /app/data/pluginTemplates
+COPY ./projects/$name/data/simpleTemplates /app/data/simpleTemplates
+
 
 ENV NODE_ENV production
 ENV NEXT_TELEMETRY_DISABLED 1

README.md

@@ -194,8 +194,9 @@ https://github.com/labring/FastGPT/assets/15308462/7d3a38df-eb0e-4388-9250-2409b
 
 <a href="https://github.com/labring/FastGPT/stargazers" target="_blank" style="display: block" align="center">
   <picture>
-    <source media="(prefers-color-scheme: dark)" srcset="https://next.ossinsight.io/widgets/official/analyze-repo-stars-history/thumbnail.png?repo_id=605673387&image_size=auto&color_scheme=dark">
-    <img alt="Star History of labring/FastGPT" src="https://next.ossinsight.io/widgets/official/analyze-repo-stars-history/thumbnail.png?repo_id=605673387&image_size=auto&color_scheme=light">
+    <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date&theme=dark" />
+    <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
+    <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
   </picture>
 </a>
 

README_en.md

@@ -156,4 +156,10 @@ Project tech stack: NextJs + TS + ChakraUI + Mongo + Postgres (Vector plugin)
 
 ## 🌟 Star History
 
-[![Star History Chart](https://api.star-history.com/svg?repos=labring/FastGPT&type=Date)](https://star-history.com/#labring/FastGPT&Date)
+<a href="https://github.com/labring/FastGPT/stargazers" target="_blank" style="display: block" align="center">
+  <picture>
+    <source media="(prefers-color-scheme: dark)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date&theme=dark" />
+    <source media="(prefers-color-scheme: light)" srcset="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
+    <img alt="Star History Chart" src="https://api.star-history.com/svg?repos=labring/FastGPT&type=Date" />
+  </picture>
+</a>

docSite/content/docs/community.md

@@ -11,6 +11,6 @@ FastGPT 是一个由用户和贡献者参与推动的开源项目，如果您对
 
 + 📱 扫码加入社区微信交流群👇
 
-   <img width="400px" src="/wechat-fastgpt.webp" />
+   <img width="400px" src="https://oss.laf.run/htr4n1-images/fastgpt-qr-code.jpg" />
 
 + 🐞 请将任何 FastGPT 的 Bug、问题和需求提交到 [GitHub Issue](https://github.com/labring/fastgpt/issues/new/choose)。

docSite/content/docs/development/configuration.md

@@ -14,9 +14,7 @@ weight: 708
 这个配置文件中包含了系统级参数、AI 对话的模型、function 模型等……
 
 
-## 完整配置参数
-
-**使用时，请务必去除注释！**
+## 旧版本配置文件
 
 ```json
 {
@@ -92,7 +90,7 @@ weight: 708
       "maxContext": 16000,
       "maxResponse": 4000,
       "price": 0,
-      "functionCall": true, // 是否支持function call， 不支持的模型需要设置为 false，会走提示词生成
+      "toolChoice": true, // 是否支持openai的 toolChoice， 不支持的模型需要设置为 false，会走提示词生成
       "functionPrompt": ""
     },
     {
@@ -101,7 +99,7 @@ weight: 708
       "maxContext": 8000,
       "maxResponse": 8000,
       "price": 0,
-      "functionCall": true,
+      "toolChoice": true,
       "functionPrompt": ""
     }
   ],
@@ -112,7 +110,7 @@ weight: 708
       "maxContext": 16000,
       "maxResponse": 4000,
       "price": 0,
-      "functionCall": true,
+      "toolChoice": true,
       "functionPrompt": ""
     }
   ],
@@ -134,6 +132,7 @@ weight: 708
       "maxToken": 3000
     }
   ],
+  "ReRankModels": [], // 重排模型,暂时填空数组
   "AudioSpeechModels": [
     {
       "model": "tts-1",
@@ -158,3 +157,151 @@ weight: 708
   }
 }
 ```
+
+## 4.6.6-alpha 版本完整配置参数
+
+**使用时，请务必去除注释！**
+
+以下配置适用于V4.6.6-alpha版本以后
+
+```json
+{
+  "systemEnv": {
+    "pluginBaseUrl": "", // 商业版接口地址
+    "vectorMaxProcess": 15, // 向量生成最大进程，结合数据库性能和 key 来设置
+    "qaMaxProcess": 15,  // QA 生成最大进程，结合数据库性能和 key 来设置
+    "pgHNSWEfSearch": 100  // pg vector 索引参数，越大精度高但速度慢
+  },
+  "chatModels": [ // 对话模型
+    {
+      "model": "gpt-3.5-turbo-1106",
+      "name": "GPT35-1106",
+      "price": 0, // 除以 100000 后等于1个token的价格
+      "maxContext": 16000, // 最大上下文长度
+      "maxResponse": 4000, // 最大回复长度
+      "quoteMaxToken": 2000, // 最大引用内容长度
+      "maxTemperature": 1.2, // 最大温度值
+      "censor": false, // 是否开启敏感词过滤(商业版)
+      "vision": false, // 支持图片输入
+      "defaultSystemChatPrompt": ""
+    },
+    {
+      "model": "gpt-3.5-turbo-16k",
+      "name": "GPT35-16k",
+      "maxContext": 16000,
+      "maxResponse": 16000,
+      "price": 0,
+      "quoteMaxToken": 8000,
+      "maxTemperature": 1.2,
+      "censor": false,
+      "vision": false,
+      "defaultSystemChatPrompt": ""
+    },
+    {
+      "model": "gpt-4",
+      "name": "GPT4-8k",
+      "maxContext": 8000,
+      "maxResponse": 8000,
+      "price": 0,
+      "quoteMaxToken": 4000,
+      "maxTemperature": 1.2,
+      "censor": false,
+      "vision": false,
+      "defaultSystemChatPrompt": ""
+    },
+    {
+      "model": "gpt-4-vision-preview",
+      "name": "GPT4-Vision",
+      "maxContext": 128000,
+      "maxResponse": 4000,
+      "price": 0,
+      "quoteMaxToken": 100000,
+      "maxTemperature": 1.2,
+      "censor": false,
+      "vision": true,
+      "defaultSystemChatPrompt": ""
+    }
+  ],
+  "qaModels": [ // QA 生成模型
+    {
+      "model": "gpt-3.5-turbo-16k",
+      "name": "GPT35-16k",
+      "maxContext": 16000,
+      "maxResponse": 16000,
+      "price": 0
+    }
+  ],
+  "cqModels": [ // 问题分类模型
+    {
+      "model": "gpt-3.5-turbo-1106",
+      "name": "GPT35-1106",
+      "maxContext": 16000,
+      "maxResponse": 4000,
+      "price": 0,
+      "toolChoice": true, // 是否支持openai的 toolChoice， 不支持的模型需要设置为 false，会走提示词生成
+      "functionPrompt": ""
+    },
+    {
+      "model": "gpt-4",
+      "name": "GPT4-8k",
+      "maxContext": 8000,
+      "maxResponse": 8000,
+      "price": 0,
+      "toolChoice": true,
+      "functionPrompt": ""
+    }
+  ],
+  "extractModels": [ // 内容提取模型
+    {
+      "model": "gpt-3.5-turbo-1106",
+      "name": "GPT35-1106",
+      "maxContext": 16000,
+      "maxResponse": 4000,
+      "price": 0,
+      "toolChoice": true,
+      "functionPrompt": ""
+    }
+  ],
+  "qgModels": [ // 生成下一步指引
+    {
+      "model": "gpt-3.5-turbo-1106",
+      "name": "GPT35-1106",
+      "maxContext": 1600,
+      "maxResponse": 4000,
+      "price": 0
+    }
+  ],
+  "vectorModels": [ // 向量模型
+    {
+      "model": "text-embedding-ada-002",
+      "name": "Embedding-2",
+      "price": 0.2,
+      "defaultToken": 700,
+      "maxToken": 3000
+    }
+  ],
+  "reRankModels": [], // 重排模型,暂时填空数组
+  "audioSpeechModels": [
+    {
+      "model": "tts-1",
+      "name": "OpenAI TTS1",
+      "price": 0,
+      "baseUrl": "",
+      "key": "",
+      "voices": [
+        { "label": "Alloy", "value": "alloy", "bufferId": "openai-Alloy" },
+        { "label": "Echo", "value": "echo", "bufferId": "openai-Echo" },
+        { "label": "Fable", "value": "fable", "bufferId": "openai-Fable" },
+        { "label": "Onyx", "value": "onyx", "bufferId": "openai-Onyx" },
+        { "label": "Nova", "value": "nova", "bufferId": "openai-Nova" },
+        { "label": "Shimmer", "value": "shimmer", "bufferId": "openai-Shimmer" }
+      ]
+    }
+  ],
+  "whisperModel": {
+    "model": "whisper-1",
+    "name": "Whisper1",
+    "price": 0
+  }
+}
+```

docSite/content/docs/development/intro.md

@@ -107,4 +107,4 @@ docker build -t dockername/fastgpt --build-arg name=app .
 
 遇到困难了吗？有任何问题吗? 加入微信群与开发者和用户保持沟通。
 
-<center><image width="400px" src="/wechat-fastgpt.webp" /></center>
+<center><image width="400px" src="https://oss.laf.run/htr4n1-images/fastgpt-qr-code.jpg" /></center>

docSite/content/docs/development/upgrading/465.md

@@ -0,0 +1,33 @@
+---
+title: 'V4.6.5（需要改配置文件）'
+description: 'FastGPT V4.6.5'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 831
+---
+
+## 配置文件变更
+
+由于 openai 已开始弃用 function call，改为 toolChoice。FastGPT 同步的修改了对于的配置和调用方式，需要对配置文件做一些修改：
+
+[点击查看最新的配置文件](/docs/development/configuration/)
+
+1. 主要是修改模型的`functionCall`字段，改成`toolChoice`即可。设置为`true`的模型，会默认走 openai 的 tools 模式；未设置或设置为`false`的，会走提示词生成模式。
+
+问题补全模型与内容提取模型使用同一组配置。
+
+2. 增加 `"ReRankModels": []`
+
+## V4.6.5 功能介绍
+
+1. 新增 - [问题补全模块](/docs/workflow/modules/coreferenceresolution/)
+2. 新增 - [文本编辑模块](/docs/workflow/modules/text_editor/)
+3. 新增 - [判断器模块](/docs/workflow/modules/tfswitch/)
+4. 新增 - [自定义反馈模块](/docs/workflow/modules/custom_feedback/)
+5. 新增 - 【内容提取】模块支持选择模型，以及字段枚举
+6. 优化 - docx读取，兼容表格（表格转markdown）
+7. 优化 - 高级编排连接线交互
+8. 优化 - 由于 html2md 导致的 cpu密集计算，阻断线程问题
+9. 修复 - 高级编排提示词提取描述
+

docSite/content/docs/development/upgrading/466.md

@@ -0,0 +1,22 @@
+---
+title: 'V4.6.6（需要改配置文件）'
+description: 'FastGPT V4.6.6'
+icon: 'upgrade'
+draft: false
+toc: true
+weight: 831
+---
+
+**版本仍在开发中……**
+
+## 配置文件变更
+
+为了减少代码重复度，我们对配置文件做了一些修改：[点击查看最新的配置文件](/docs/development/configuration/)
+
+
+
+## V4.6.6 即将更新
+
+1. UI 优化，未来将逐步替换新的UI设计。
+
+

docSite/content/docs/intro.md

@@ -10,7 +10,7 @@ weight: -10
 FastGPT 是一个基于 LLM 大语言模型的知识库问答系统，提供开箱即用的数据处理、模型调用等能力。同时可以通过 Flow 可视化进行工作流编排，从而实现复杂的问答场景！
 
 {{% alert icon="🤖 " context="success" %}}
-FastGPT 在线体验：[https://fastgpt.run](https://fastgpt.run)
+FastGPT 在线使用：[https://ai.fastgpt.in](https://ai.fastgpt.in)
 {{% /alert %}}
 
 |                       |                       |

docSite/content/docs/workflow/examples/op_question.md

@@ -1,512 +0,0 @@
----
-title: '优化知识库搜索词'
-description: '利用 GPT 优化和完善知识库搜索词，实现上下文关联搜索'
-icon: 'search'
-draft: false
-toc: true
-weight: 404
----
-
-![](/imgs/demo_op_question1.png)
-
-|          优化前             |          优化后             |
-| --------------------- | --------------------- |
-| ![](/imgs/demo_op_question3.png) | ![](/imgs/demo_op_question2.png) |
-
-如上图，优化后的搜索可以针对【自动数据预处理】进行搜索，从而找到其相关的内容，一定程度上弥补了向量搜索的上下文缺失问题。
-
-## 模块编排
-
-复制下面配置，点击「高级编排」右上角的导入按键，导入该配置。
-
-{{% details title="编排配置" closed="true" %}}
-
-```json
-[
-  {
-    "moduleId": "userChatInput",
-    "name": "用户问题(对话入口)",
-    "flowType": "questionInput",
-    "position": {
-      "x": 585.750318069507,
-      "y": 1597.4127130315183
-    },
-    "inputs": [
-      {
-        "key": "userChatInput",
-        "type": "systemInput",
-        "label": "用户问题",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "userChatInput",
-        "label": "用户问题",
-        "type": "source",
-        "valueType": "string",
-        "targets": [
-          {
-            "moduleId": "ssdd86",
-            "key": "content"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "history",
-    "name": "聊天记录",
-    "flowType": "historyNode",
-    "position": {
-      "x": 567.49877916803,
-      "y": 1289.3453864378014
-    },
-    "inputs": [
-      {
-        "key": "maxContext",
-        "type": "numberInput",
-        "label": "最长记录数",
-        "value": 6,
-        "min": 0,
-        "max": 50,
-        "connected": true
-      },
-      {
-        "key": "history",
-        "type": "hidden",
-        "label": "聊天记录",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "history",
-        "label": "聊天记录",
-        "valueType": "chatHistory",
-        "type": "source",
-        "targets": [
-          {
-            "moduleId": "ssdd86",
-            "key": "history"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "nkxlso",
-    "name": "知识库搜索",
-    "flowType": "datasetSearchNode",
-    "showStatus": true,
-    "position": {
-      "x": 1542.6434554710224,
-      "y": 1153.7853815737192
-    },
-    "inputs": [
-      {
-        "key": "kbList",
-        "type": "custom",
-        "label": "关联的知识库",
-        "value": [],
-        "list": [],
-        "connected": true
-      },
-      {
-        "key": "similarity",
-        "type": "slider",
-        "label": "相似度",
-        "value": 0.8,
-        "min": 0,
-        "max": 1,
-        "step": 0.01,
-        "markList": [
-          {
-            "label": "100",
-            "value": 100
-          },
-          {
-            "label": "1",
-            "value": 1
-          }
-        ],
-        "connected": true
-      },
-      {
-        "key": "limit",
-        "type": "slider",
-        "label": "单次搜索上限",
-        "description": "最多取 n 条记录作为本次问题引用",
-        "value": 7,
-        "min": 1,
-        "max": 20,
-        "step": 1,
-        "markList": [
-          {
-            "label": "1",
-            "value": 1
-          },
-          {
-            "label": "20",
-            "value": 20
-          }
-        ],
-        "connected": true
-      },
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "触发器",
-        "valueType": "any",
-        "connected": false
-      },
-      {
-        "key": "userChatInput",
-        "type": "target",
-        "label": "用户问题",
-        "required": true,
-        "valueType": "string",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "isEmpty",
-        "label": "搜索结果为空",
-        "type": "source",
-        "valueType": "boolean",
-        "targets": []
-      },
-      {
-        "key": "unEmpty",
-        "label": "搜索结果不为空",
-        "type": "source",
-        "valueType": "boolean",
-        "targets": []
-      },
-      {
-        "key": "quoteQA",
-        "label": "引用内容",
-        "description": "始终返回数组，如果希望搜索结果为空时执行额外操作，需要用到上面的两个输入以及目标模块的触发器",
-        "type": "source",
-        "valueType": "datasetQuote",
-        "targets": [
-          {
-            "moduleId": "ol82hp",
-            "key": "quoteQA"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "ol82hp",
-    "name": "AI 对话",
-    "flowType": "chatNode",
-    "showStatus": true,
-    "position": {
-      "x": 2207.4577044902126,
-      "y": 1079.6308003796544
-    },
-    "inputs": [
-      {
-        "key": "model",
-        "type": "custom",
-        "label": "对话模型",
-        "value": "gpt-3.5-turbo",
-        "list": [],
-        "connected": true
-      },
-      {
-        "key": "temperature",
-        "type": "slider",
-        "label": "温度",
-        "value": 0,
-        "min": 0,
-        "max": 10,
-        "step": 1,
-        "markList": [
-          {
-            "label": "严谨",
-            "value": 0
-          },
-          {
-            "label": "发散",
-            "value": 10
-          }
-        ],
-        "connected": true
-      },
-      {
-        "key": "maxToken",
-        "type": "custom",
-        "label": "回复上限",
-        "value": 2000,
-        "min": 100,
-        "max": 4000,
-        "step": 50,
-        "markList": [
-          {
-            "label": "100",
-            "value": 100
-          },
-          {
-            "label": "4000",
-            "value": 4000
-          }
-        ],
-        "connected": true
-      },
-      {
-        "key": "systemPrompt",
-        "type": "textarea",
-        "label": "系统提示词",
-        "max": 300,
-        "valueType": "string",
-        "description": "模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}",
-        "placeholder": "模型固定的引导词，通过调整该内容，可以引导模型聊天方向。该内容会被固定在上下文的开头。可使用变量，例如 {{language}}",
-        "value": "我会向你询问三引号引用中提及的内容，你仅使用提供的引用内容来回答我的问题，不要做额外的扩展补充。",
-        "connected": true
-      },
-      {
-        "key": "limitPrompt",
-        "type": "textarea",
-        "valueType": "string",
-        "label": "限定词",
-        "max": 500,
-        "description": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。不建议内容太长，会影响上下文，可使用变量，例如 {{language}}。可在文档中找到对应的限定例子",
-        "placeholder": "限定模型对话范围，会被放置在本次提问前，拥有强引导和限定性。不建议内容太长，会影响上下文，可使用变量，例如 {{language}}。可在文档中找到对应的限定例子",
-        "value": "",
-        "connected": true
-      },
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "触发器",
-        "valueType": "any",
-        "connected": false
-      },
-      {
-        "key": "quoteQA",
-        "type": "target",
-        "label": "引用内容",
-        "description": "对象数组格式，结构：\n [{q:'问题',a:'回答'}]",
-        "valueType": "datasetQuote",
-        "connected": true
-      },
-      {
-        "key": "history",
-        "type": "target",
-        "label": "聊天记录",
-        "valueType": "chatHistory",
-        "connected": true
-      },
-      {
-        "key": "userChatInput",
-        "type": "target",
-        "label": "用户问题",
-        "required": true,
-        "valueType": "string",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "answerText",
-        "label": "AI回复",
-        "description": "将在 stream 回复完毕后触发",
-        "valueType": "string",
-        "type": "source",
-        "targets": []
-      },
-      {
-        "key": "finish",
-        "label": "回复结束",
-        "description": "AI 回复完成后触发",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": []
-      }
-    ]
-  },
-  {
-    "moduleId": "o62kns",
-    "name": "用户问题(对话入口)",
-    "flowType": "questionInput",
-    "position": {
-      "x": 1696.5940057372968,
-      "y": 2270.5070479742435
-    },
-    "inputs": [
-      {
-        "key": "userChatInput",
-        "type": "systemInput",
-        "label": "用户问题",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "userChatInput",
-        "label": "用户问题",
-        "type": "source",
-        "valueType": "string",
-        "targets": [
-          {
-            "moduleId": "ol82hp",
-            "key": "userChatInput"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "he7013",
-    "name": "聊天记录",
-    "flowType": "historyNode",
-    "position": {
-      "x": 1636.793907221069,
-      "y": 1952.7122387165764
-    },
-    "inputs": [
-      {
-        "key": "maxContext",
-        "type": "numberInput",
-        "label": "最长记录数",
-        "value": 6,
-        "min": 0,
-        "max": 50,
-        "connected": true
-      },
-      {
-        "key": "history",
-        "type": "hidden",
-        "label": "聊天记录",
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "history",
-        "label": "聊天记录",
-        "valueType": "chatHistory",
-        "type": "source",
-        "targets": [
-          {
-            "moduleId": "ol82hp",
-            "key": "history"
-          }
-        ]
-      }
-    ]
-  },
-  {
-    "moduleId": "ssdd86",
-    "name": "文本内容提取",
-    "flowType": "contentExtract",
-    "showStatus": true,
-    "position": {
-      "x": 1031.822028231947,
-      "y": 1231.9793566344022
-    },
-    "inputs": [
-      {
-        "key": "switch",
-        "type": "target",
-        "label": "触发器",
-        "valueType": "any",
-        "connected": false
-      },
-      {
-        "key": "description",
-        "type": "textarea",
-        "valueType": "string",
-        "value": "结合上下文，优化用户的问题，要求不能包含\"它\"、\"第几个\"等代名词，需将他们替换成具体的名词。",
-        "label": "提取要求描述",
-        "description": "写一段提取要求，告诉 AI 需要提取哪些内容",
-        "required": true,
-        "placeholder": "例如: \n1. 你是一个实验室预约助手。根据用户问题，提取出姓名、实验室号和预约时间",
-        "connected": true
-      },
-      {
-        "key": "history",
-        "type": "target",
-        "label": "聊天记录",
-        "valueType": "chatHistory",
-        "connected": true
-      },
-      {
-        "key": "content",
-        "type": "target",
-        "label": "需要提取的文本",
-        "required": true,
-        "valueType": "string",
-        "connected": true
-      },
-      {
-        "key": "extractKeys",
-        "type": "custom",
-        "label": "目标字段",
-        "description": "由 '描述' 和 'key' 组成一个目标字段，可提取多个目标字段",
-        "value": [
-          {
-            "desc": "优化后的问题",
-            "key": "q",
-            "required": true
-          }
-        ],
-        "connected": true
-      }
-    ],
-    "outputs": [
-      {
-        "key": "success",
-        "label": "字段完全提取",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": []
-      },
-      {
-        "key": "failed",
-        "label": "提取字段缺失",
-        "valueType": "boolean",
-        "type": "source",
-        "targets": []
-      },
-      {
-        "key": "fields",
-        "label": "完整提取结果",
-        "description": "一个 JSON 字符串，例如：{\"name:\":\"YY\",\"Time\":\"2023/7/2 18:00\"}",
-        "valueType": "string",
-        "type": "source",
-        "targets": []
-      },
-      {
-        "key": "q",
-        "label": "提取结果-优化后的问题",
-        "description": "无法提取时不会返回",
-        "valueType": "string",
-        "type": "source",
-        "targets": [
-          {
-            "moduleId": "nkxlso",
-            "key": "userChatInput"
-          }
-        ]
-      }
-    ]
-  }
-]
-```
-
-{{% /details %}}
-
-## 流程说明
-
-1. 利用内容提取模块，将用户的问题进行优化。
-2. 将优化后的问题传递到知识库搜索模块进行搜索。
-3. 搜索内容传递到 AI 对话模块，进行回答。
-
-## Tips
-
-内容提取模块可以将自然语言提取成结构化数据，可以使用其进行一些神奇的操作。

docSite/content/docs/workflow/modules/_index.md

@@ -5,4 +5,6 @@ description: "介绍 FastGPT 的常用模块"
 icon: "apps"
 draft: false
 images: []
----
+---
+
+<!-- 350 ~ 400 -->

docSite/content/docs/workflow/modules/coreferenceResolution.md

@@ -0,0 +1,39 @@
+---
+title: "问题补全"
+description: "问题补全模块介绍和使用"
+icon: "input"
+draft: false
+toc: true
+weight: 364
+---
+
+## 特点
+
+- 可重复添加
+- 有外部输入
+- 触发执行
+
+![](/imgs/coreferenceResolution1.png)
+
+## 背景
+
+在 RAG 中，我们需要根据输入的问题去数据库里执行 embedding 搜索，查找相关的内容，从而查找到相似的内容（简称知识库搜索）。
+
+在搜索的过程中，尤其是连续对话的搜索，我们通常会发现后续的问题难以搜索到合适的内容，其中一个原因是知识库搜索只会使用“当前”的问题去执行。看下面的例子：
+
+![](/imgs/coreferenceResolution2.png)
+
+用户在提问“第二点是什么”的时候，只会去知识库里查找“第二点是什么”，压根查不到内容。实际上需要查询的是“QA结构是什么”。因此我们需要引入一个【问题补全】模块，来对用户当前的问题进行补全，从而使得知识库搜索能够搜索到合适的内容。使用补全后效果如下：
+
+![](/imgs/coreferenceResolution3.png)
+
+
+## 功能
+
+调用 AI 去对用户当前的问题进行补全。目前主要是补全“指代”词，使得检索词更加的完善可靠，从而增强上下文连续对话的知识库搜索能力。
+
+遇到最大的难题在于：模型对于【补全】的概念可能不清晰，且对于长上下文往往无法准确的知道应该如何补全。
+
+## 示例
+
+- [接入谷歌搜索](/docs/workflow/examples/google_search/)

docSite/content/docs/workflow/modules/text_editor.md

@@ -26,3 +26,7 @@ weight: 363
 ## 作用
 
 给任意模块输入自定格式文本，或处理 AI 模块系统提示词。
+
+## 示例
+
+- [接入谷歌搜索](/docs/workflow/examples/google_search/)

docSite/content/docs/workflow/modules/tfswitch.md

@@ -25,4 +25,5 @@ weight: 362
 
 ## 作用
 
-适用场景有：让大模型做判断后输出固定内容，根据大模型回复内容判断是否触发后续模块。
+适用场景有：让大模型做判断后输出固定内容，根据大模型回复内容判断是否触发后续模块。
+

docSite/hugo.toml

@@ -68,7 +68,7 @@ defaultContentLanguage = 'zh-cn'
         # twitter = ""       # YOUR_TWITTER_ID
         # instagram = "colinwilson"     # YOUR_INSTAGRAM_ID
         # rss = true                    # show rss icon with link
-        wechat = "/wechat-fastgpt.webp"
+        wechat = "https://oss.laf.run/htr4n1-images/fastgpt-qr-code.jpg"
 
     [params.docs] # Parameters for the /docs 'template'
         title           = ""           # default html title for documentation pages/sections

package.json

@@ -6,16 +6,18 @@
     "prepare": "husky install",
     "format-code": "prettier --config \"./.prettierrc.js\" --write \"./**/src/**/*.{ts,tsx,scss}\"",
     "format-doc": "zhlint --dir ./docSite *.md --fix",
+    "gen:theme-typings": "chakra-cli tokens projects/app/src/web/styles/theme.ts --out node_modules/.pnpm/node_modules/@chakra-ui/styled-system/dist/theming.types.d.ts",
     "postinstall": "sh ./scripts/postinstall.sh"
   },
   "devDependencies": {
+    "@chakra-ui/cli": "^2.4.1",
     "husky": "^8.0.3",
-    "lint-staged": "^13.2.1",
-    "prettier": "^3.0.3",
-    "zhlint": "^0.7.1",
     "i18next": "^22.5.1",
+    "lint-staged": "^13.2.1",
     "next-i18next": "^13.3.0",
-    "react-i18next": "^12.3.1"
+    "prettier": "^3.0.3",
+    "react-i18next": "^12.3.1",
+    "zhlint": "^0.7.1"
   },
   "lint-staged": {
     "./**/**/*.{ts,tsx,scss}": "npm run format-code",

packages/global/common/file/read/index.ts

@@ -0,0 +1,62 @@
+/* read file to txt */
+import * as pdfjsLib from 'pdfjs-dist';
+
+export const readPdfFile = async ({ pdf }: { pdf: string | URL | ArrayBuffer }) => {
+  pdfjsLib.GlobalWorkerOptions.workerSrc = '/js/pdf.worker.js';
+
+  type TokenType = {
+    str: string;
+    dir: string;
+    width: number;
+    height: number;
+    transform: number[];
+    fontName: string;
+    hasEOL: boolean;
+  };
+
+  const readPDFPage = async (doc: any, pageNo: number) => {
+    const page = await doc.getPage(pageNo);
+    const tokenizedText = await page.getTextContent();
+
+    const viewport = page.getViewport({ scale: 1 });
+    const pageHeight = viewport.height;
+    const headerThreshold = pageHeight * 0.07; // 假设页头在页面顶部5%的区域内
+    const footerThreshold = pageHeight * 0.93; // 假设页脚在页面底部5%的区域内
+
+    const pageTexts: TokenType[] = tokenizedText.items.filter((token: TokenType) => {
+      return (
+        !token.transform ||
+        (token.transform[5] > headerThreshold && token.transform[5] < footerThreshold)
+      );
+    });
+
+    // concat empty string 'hasEOL'
+    for (let i = 0; i < pageTexts.length; i++) {
+      const item = pageTexts[i];
+      if (item.str === '' && pageTexts[i - 1]) {
+        pageTexts[i - 1].hasEOL = item.hasEOL;
+        pageTexts.splice(i, 1);
+        i--;
+      }
+    }
+
+    page.cleanup();
+
+    return pageTexts
+      .map((token) => {
+        const paragraphEnd = token.hasEOL && /([。？！.?!\n\r]|(\r\n))$/.test(token.str);
+
+        return paragraphEnd ? `${token.str}\n` : token.str;
+      })
+      .join('');
+  };
+
+  const doc = await pdfjsLib.getDocument(pdf).promise;
+  const pageTextPromises = [];
+  for (let pageNo = 1; pageNo <= doc.numPages; pageNo++) {
+    pageTextPromises.push(readPDFPage(doc, pageNo));
+  }
+  const pageTexts = await Promise.all(pageTextPromises);
+
+  return pageTexts.join('');
+};

packages/global/common/string/markdown.ts

@@ -28,9 +28,47 @@ export const simpleMarkdownText = (rawText: string) => {
   ['####', '###', '##', '#', '```', '~~~'].forEach((item, i) => {
     const reg = new RegExp(`\\n\\s*${item}`, 'g');
     if (reg.test(rawText)) {
-      rawText = rawText.replace(new RegExp(`(\\n)\\s*(${item})`, 'g'), '$1$2');
+      rawText = rawText.replace(new RegExp(`(\\n)( *)(${item})`, 'g'), '$1$3');
     }
   });
 
   return rawText.trim();
 };
+
+/**
+ * format markdown
+ * 1. upload base64
+ * 2. replace \
+ */
+export const uploadMarkdownBase64 = async ({
+  rawText,
+  uploadImgController
+}: {
+  rawText: string;
+  uploadImgController: (base64: string) => Promise<string>;
+}) => {
+  // match base64, upload and replace it
+  const base64Regex = /data:image\/.*;base64,([^\)]+)/g;
+  const base64Arr = rawText.match(base64Regex) || [];
+  // upload base64 and replace it
+  await Promise.all(
+    base64Arr.map(async (base64Img) => {
+      try {
+        const str = await uploadImgController(base64Img);
+
+        rawText = rawText.replace(base64Img, str);
+      } catch (error) {
+        rawText = rawText.replace(base64Img, '');
+        rawText = rawText.replace(/!\[.*\]\(\)/g, '');
+      }
+    })
+  );
+
+  // Remove white space on both sides of the picture
+  const trimReg = /(!\[.*\]\(.*\))\s*/g;
+  if (trimReg.test(rawText)) {
+    rawText = rawText.replace(trimReg, '$1');
+  }
+
+  return simpleMarkdownText(rawText);
+};

packages/global/common/string/textSplitter.ts

@@ -31,7 +31,7 @@ export const splitText2Chunks = (props: {
 
   // The larger maxLen is, the next sentence is less likely to trigger splitting
   const stepReges: { reg: RegExp; maxLen: number }[] = [
-    ...customReg.map((text) => ({ reg: new RegExp(`([${text}])`, 'g'), maxLen: chunkLen * 1.4 })),
+    ...customReg.map((text) => ({ reg: new RegExp(`(${text})`, 'g'), maxLen: chunkLen * 1.4 })),
     { reg: /^(#\s[^\n]+)\n/gm, maxLen: chunkLen * 1.2 },
     { reg: /^(##\s[^\n]+)\n/gm, maxLen: chunkLen * 1.2 },
     { reg: /^(###\s[^\n]+)\n/gm, maxLen: chunkLen * 1.2 },
@@ -64,13 +64,22 @@ export const splitText2Chunks = (props: {
         }
       ];
     }
+
+    const isCustomSteep = checkIsCustomStep(step);
     const isMarkdownSplit = checkIsMarkdownSplit(step);
     const independentChunk = checkIndependentChunk(step);
 
     const { reg } = stepReges[step];
 
     const splitTexts = text
-      .replace(reg, independentChunk ? `${splitMarker}$1` : `$1${splitMarker}`)
+      .replace(
+        reg,
+        (() => {
+          if (isCustomSteep) return splitMarker;
+          if (independentChunk) return `${splitMarker}$1`;
+          return `$1${splitMarker}`;
+        })()
+      )
       .split(`${splitMarker}`)
       .filter((part) => part.trim());
 
@@ -128,11 +137,6 @@ export const splitText2Chunks = (props: {
     const independentChunk = checkIndependentChunk(step);
     const isCustomStep = checkIsCustomStep(step);
 
-    // mini text
-    if (text.length <= chunkLen) {
-      return [text];
-    }
-
     // oversize
     if (step >= stepReges.length) {
       if (text.length < chunkLen * 3) {
@@ -221,6 +225,8 @@ export const splitText2Chunks = (props: {
       } else {
         chunks.push(`${mdTitle}${lastText}`);
       }
+    } else if (lastText && chunks.length === 0) {
+      chunks.push(lastText);
     }
 
     return chunks;

packages/global/common/system/types/index.d.ts

@@ -1,4 +1,29 @@
-export type FeConfigsType = {
+import type {
+  ChatModelItemType,
+  FunctionModelItemType,
+  LLMModelItemType,
+  VectorModelItemType,
+  AudioSpeechModels,
+  WhisperModelType,
+  ReRankModelItemType
+} from '../../../core/ai/model.d';
+
+/* fastgpt main */
+export type FastGPTConfigFileType = {
+  feConfigs: FastGPTFeConfigsType;
+  systemEnv: SystemEnvType;
+  chatModels: ChatModelItemType[];
+  qaModels: LLMModelItemType[];
+  cqModels: FunctionModelItemType[];
+  extractModels: FunctionModelItemType[];
+  qgModels: LLMModelItemType[];
+  vectorModels: VectorModelItemType[];
+  reRankModels: ReRankModelItemType[];
+  audioSpeechModels: AudioSpeechModelType[];
+  whisperModel: WhisperModelType;
+};
+
+export type FastGPTFeConfigsType = {
   show_emptyChat?: boolean;
   show_register?: boolean;
   show_appStore?: boolean;
@@ -34,6 +59,6 @@ export type SystemEnvType = {
 };
 
 declare global {
-  var feConfigs: FeConfigsType;
+  var feConfigs: FastGPTFeConfigsType;
   var systemEnv: SystemEnvType;
 }

packages/global/core/ai/model.d.ts

@@ -14,7 +14,7 @@ export type ChatModelItemType = LLMModelItemType & {
 };
 
 export type FunctionModelItemType = LLMModelItemType & {
-  functionCall: boolean;
+  toolChoice: boolean;
   functionPrompt: string;
 };
 
@@ -24,6 +24,7 @@ export type VectorModelItemType = {
   defaultToken: number;
   price: number;
   maxToken: number;
+  weight: number;
 };
 
 export type ReRankModelItemType = {

packages/global/core/ai/model.ts

@@ -1,63 +1,5 @@
-import type {
-  LLMModelItemType,
-  ChatModelItemType,
-  FunctionModelItemType,
-  VectorModelItemType,
-  AudioSpeechModelType,
-  WhisperModelType,
-  ReRankModelItemType
-} from './model.d';
+import type { LLMModelItemType, VectorModelItemType } from './model.d';
 
-export const defaultChatModels: ChatModelItemType[] = [
-  {
-    model: 'gpt-3.5-turbo-1106',
-    name: 'GPT35-1106',
-    price: 0,
-    maxContext: 16000,
-    maxResponse: 4000,
-    quoteMaxToken: 2000,
-    maxTemperature: 1.2,
-    censor: false,
-    vision: false,
-    defaultSystemChatPrompt: ''
-  },
-  {
-    model: 'gpt-3.5-turbo-16k',
-    name: 'GPT35-16k',
-    maxContext: 16000,
-    maxResponse: 16000,
-    price: 0,
-    quoteMaxToken: 8000,
-    maxTemperature: 1.2,
-    censor: false,
-    vision: false,
-    defaultSystemChatPrompt: ''
-  },
-  {
-    model: 'gpt-4',
-    name: 'GPT4-8k',
-    maxContext: 8000,
-    maxResponse: 8000,
-    price: 0,
-    quoteMaxToken: 4000,
-    maxTemperature: 1.2,
-    censor: false,
-    vision: false,
-    defaultSystemChatPrompt: ''
-  },
-  {
-    model: 'gpt-4-vision-preview',
-    name: 'GPT4-Vision',
-    maxContext: 128000,
-    maxResponse: 4000,
-    price: 0,
-    quoteMaxToken: 100000,
-    maxTemperature: 1.2,
-    censor: false,
-    vision: true,
-    defaultSystemChatPrompt: ''
-  }
-];
 export const defaultQAModels: LLMModelItemType[] = [
   {
     model: 'gpt-3.5-turbo-16k',
@@ -67,46 +9,6 @@ export const defaultQAModels: LLMModelItemType[] = [
     price: 0
   }
 ];
-export const defaultCQModels: FunctionModelItemType[] = [
-  {
-    model: 'gpt-3.5-turbo-1106',
-    name: 'GPT35-1106',
-    maxContext: 16000,
-    maxResponse: 4000,
-    price: 0,
-    functionCall: true,
-    functionPrompt: ''
-  },
-  {
-    model: 'gpt-4',
-    name: 'GPT4-8k',
-    maxContext: 8000,
-    maxResponse: 8000,
-    price: 0,
-    functionCall: true,
-    functionPrompt: ''
-  }
-];
-export const defaultExtractModels: FunctionModelItemType[] = [
-  {
-    model: 'gpt-3.5-turbo-1106',
-    name: 'GPT35-1106',
-    maxContext: 16000,
-    maxResponse: 4000,
-    price: 0,
-    functionCall: true,
-    functionPrompt: ''
-  }
-];
-export const defaultQGModels: LLMModelItemType[] = [
-  {
-    model: 'gpt-3.5-turbo-1106',
-    name: 'GPT35-1106',
-    maxContext: 1600,
-    maxResponse: 4000,
-    price: 0
-  }
-];
 
 export const defaultVectorModels: VectorModelItemType[] = [
   {
@@ -114,30 +16,7 @@ export const defaultVectorModels: VectorModelItemType[] = [
     name: 'Embedding-2',
     price: 0,
     defaultToken: 500,
-    maxToken: 3000
+    maxToken: 3000,
+    weight: 100
   }
 ];
-
-export const defaultReRankModels: ReRankModelItemType[] = [];
-
-export const defaultAudioSpeechModels: AudioSpeechModelType[] = [
-  {
-    model: 'tts-1',
-    name: 'OpenAI TTS1',
-    price: 0,
-    voices: [
-      { label: 'Alloy', value: 'Alloy', bufferId: 'openai-Alloy' },
-      { label: 'Echo', value: 'Echo', bufferId: 'openai-Echo' },
-      { label: 'Fable', value: 'Fable', bufferId: 'openai-Fable' },
-      { label: 'Onyx', value: 'Onyx', bufferId: 'openai-Onyx' },
-      { label: 'Nova', value: 'Nova', bufferId: 'openai-Nova' },
-      { label: 'Shimmer', value: 'Shimmer', bufferId: 'openai-Shimmer' }
-    ]
-  }
-];
-
-export const defaultWhisperModel: WhisperModelType = {
-  model: 'whisper-1',
-  name: 'Whisper1',
-  price: 0
-};

packages/global/core/app/type.d.ts

@@ -67,6 +67,9 @@ export type AppSimpleEditFormType = {
     searchMode: `${DatasetSearchModeEnum}`;
     searchEmptyText: string;
   };
+  cfr: {
+    background: string;
+  };
   userGuide: {
     welcomeText: string;
     variables: {
@@ -111,6 +114,9 @@ export type AppSimpleEditConfigTemplateType = {
       searchMode: `${DatasetSearchModeEnum}`;
       searchEmptyText?: boolean;
     };
+    cfr?: {
+      background?: boolean;
+    };
     userGuide?: {
       welcomeText?: boolean;
       variables?: boolean;

packages/global/core/app/utils.ts

@@ -3,23 +3,23 @@ import { FlowNodeTypeEnum } from '../module/node/constant';
 import { ModuleOutputKeyEnum, ModuleInputKeyEnum } from '../module/constants';
 import type { FlowNodeInputItemType } from '../module/node/type.d';
 import { getGuideModule, splitGuideModule } from '../module/utils';
-import { defaultChatModels } from '../ai/model';
 import { ModuleItemType } from '../module/type.d';
 import { DatasetSearchModeEnum } from '../dataset/constant';
 
 export const getDefaultAppForm = (templateId = 'fastgpt-universal'): AppSimpleEditFormType => {
-  const defaultChatModel = defaultChatModels[0];
-
   return {
     templateId,
     aiSettings: {
-      model: defaultChatModel?.model,
+      model: 'gpt-3.5-turbo',
       systemPrompt: '',
       temperature: 0,
       isResponseAnswerText: true,
       quotePrompt: '',
       quoteTemplate: '',
-      maxToken: defaultChatModel ? defaultChatModel.maxResponse / 2 : 4000
+      maxToken: 4000
+    },
+    cfr: {
+      background: ''
     },
     dataset: {
       datasets: [],
@@ -116,6 +116,11 @@ export const appModules2Form = ({
         questionGuide: questionGuide,
         tts: ttsConfig
       };
+    } else if (module.flowType === FlowNodeTypeEnum.cfr) {
+      const value = module.inputs.find((item) => item.key === ModuleInputKeyEnum.aiSystemPrompt);
+      if (value) {
+        defaultAppForm.cfr.background = value.value;
+      }
     }
   });
 

packages/global/core/chat/type.d.ts

@@ -93,6 +93,7 @@ export type moduleDispatchResType = {
   model?: string;
   query?: string;
   contextTotalLen?: number;
+  textOutput?: string;
 
   // chat
   temperature?: number;
@@ -119,9 +120,7 @@ export type moduleDispatchResType = {
 
   // plugin output
   pluginOutput?: Record<string, any>;
-
-  // text editor
-  textOutput?: string;
+  pluginDetail?: ChatHistoryItemResType[];
 
   // tf switch
   tfSwitchResult?: boolean;

packages/global/core/dataset/type.d.ts

@@ -89,6 +89,7 @@ export type DatasetTrainingSchemaType = {
   q: string;
   a: string;
   chunkIndex: number;
+  weight: number;
   indexes: Omit<DatasetDataIndexItemType, 'dataId'>[];
 };
 

packages/global/core/module/node/constant.ts

@@ -38,7 +38,6 @@ export enum FlowNodeOutputTypeEnum {
 }
 
 export enum FlowNodeTypeEnum {
-  empty = 'empty',
   userGuide = 'userGuide',
   questionInput = 'questionInput',
   historyNode = 'historyNode',
@@ -52,10 +51,10 @@ export enum FlowNodeTypeEnum {
   pluginModule = 'pluginModule',
   pluginInput = 'pluginInput',
   pluginOutput = 'pluginOutput',
-  textEditor = 'textEditor',
+  cfr = 'cfr',
 
   // abandon
   variable = 'variable'
 }
 
-export const EDGE_TYPE = 'smoothstep';
+export const EDGE_TYPE = 'default';

packages/global/core/module/template/system/aiChat.ts

@@ -141,7 +141,7 @@ export const AiChatModule: FlowModuleTemplateType = {
     },
     {
       key: ModuleOutputKeyEnum.answerText,
-      label: 'AI回复',
+      label: 'AI回复内容',
       description: '将在 stream 回复完毕后触发',
       valueType: ModuleIOValueTypeEnum.string,
       type: FlowNodeOutputTypeEnum.source,

packages/global/core/module/template/system/contextExtract.ts

@@ -36,10 +36,11 @@ export const ContextExtractModule: FlowModuleTemplateType = {
       type: FlowNodeInputTypeEnum.textarea,
       valueType: ModuleIOValueTypeEnum.string,
       label: '提取要求描述',
-      description: '给AI一些对应的背景知识或要求描述，引导AI更好的完成任务',
+      description:
+        '给AI一些对应的背景知识或要求描述，引导AI更好的完成任务。\n该输入框可使用全局变量。',
       required: true,
       placeholder:
-        '例如: \n1. 你是一个实验室预约助手，你的任务是帮助用户预约实验室。\n2. 你是谷歌搜索助手，需要从文本中提取出合适的搜索词。',
+        '例如: \n1. 当前时间为: {{cTime}}。你是一个实验室预约助手，你的任务是帮助用户预约实验室，从文本中获取对应的预约信息。\n2. 你是谷歌搜索助手，需要从文本中提取出合适的搜索词。',
       showTargetInApp: true,
       showTargetInPlugin: true
     },

packages/global/core/module/template/system/coreferenceResolution.ts

@@ -0,0 +1,61 @@
+import {
+  FlowNodeInputTypeEnum,
+  FlowNodeOutputTypeEnum,
+  FlowNodeTypeEnum
+} from '../../node/constant';
+import { FlowModuleTemplateType } from '../../type.d';
+import {
+  ModuleIOValueTypeEnum,
+  ModuleInputKeyEnum,
+  ModuleOutputKeyEnum,
+  ModuleTemplateTypeEnum
+} from '../../constants';
+import {
+  Input_Template_History,
+  Input_Template_Switch,
+  Input_Template_UserChatInput
+} from '../input';
+
+export const AiCFR: FlowModuleTemplateType = {
+  id: FlowNodeTypeEnum.chatNode,
+  templateType: ModuleTemplateTypeEnum.tools,
+  flowType: FlowNodeTypeEnum.cfr,
+  avatar: '/imgs/module/cfr.svg',
+  name: 'core.module.template.cfr',
+  intro: 'core.module.template.cfr intro',
+  showStatus: true,
+  inputs: [
+    Input_Template_Switch,
+    {
+      key: ModuleInputKeyEnum.aiModel,
+      type: FlowNodeInputTypeEnum.selectExtractModel,
+      label: 'core.module.input.label.aiModel',
+      required: true,
+      valueType: ModuleIOValueTypeEnum.string,
+      showTargetInApp: false,
+      showTargetInPlugin: false
+    },
+    {
+      key: ModuleInputKeyEnum.aiSystemPrompt,
+      type: FlowNodeInputTypeEnum.textarea,
+      label: 'core.module.input.label.cfr background',
+      max: 300,
+      valueType: ModuleIOValueTypeEnum.string,
+      description: 'core.module.input.description.cfr background',
+      placeholder: 'core.module.input.placeholder.cfr background',
+      showTargetInApp: true,
+      showTargetInPlugin: true
+    },
+    Input_Template_History,
+    Input_Template_UserChatInput
+  ],
+  outputs: [
+    {
+      key: ModuleOutputKeyEnum.text,
+      label: 'core.module.output.label.cfr result',
+      valueType: ModuleIOValueTypeEnum.string,
+      type: FlowNodeOutputTypeEnum.source,
+      targets: []
+    }
+  ]
+};

packages/global/core/module/template/system/empty.ts

@@ -1,14 +0,0 @@
-import { ModuleTemplateTypeEnum } from '../../constants';
-import { FlowNodeTypeEnum } from '../../node/constant';
-import { FlowModuleTemplateType } from '../../type.d';
-
-export const EmptyModule: FlowModuleTemplateType = {
-  id: FlowNodeTypeEnum.empty,
-  templateType: ModuleTemplateTypeEnum.other,
-  flowType: FlowNodeTypeEnum.empty,
-  avatar: '/imgs/module/cq.png',
-  name: '该模块已被移除',
-  intro: '',
-  inputs: [],
-  outputs: []
-};

packages/global/core/module/type.d.ts

@@ -38,7 +38,7 @@ export type ModuleItemType = {
   outputs: FlowNodeOutputItemType[];
 };
 
-/* function type */
+/* --------------- function type -------------------- */
 // variable
 export type VariableItemType = {
   id: string;
@@ -74,3 +74,46 @@ export type ContextExtractAgentItemType = {
   required: boolean;
   enum?: string;
 };
+
+/* -------------- running module -------------- */
+export type RunningModuleItemType = {
+  name: ModuleItemType['name'];
+  moduleId: ModuleItemType['moduleId'];
+  flowType: ModuleItemType['flowType'];
+  showStatus?: ModuleItemType['showStatus'];
+} & {
+  inputs: {
+    key: string;
+    value?: any;
+  }[];
+  outputs: {
+    key: string;
+    answer?: boolean;
+    response?: boolean;
+    value?: any;
+    targets: {
+      moduleId: string;
+      key: string;
+    }[];
+  }[];
+};
+
+export type ChatDispatchProps = {
+  res: NextApiResponse;
+  mode: 'test' | 'chat';
+  teamId: string;
+  tmbId: string;
+  user: UserType;
+  appId: string;
+  chatId?: string;
+  responseChatItemId?: string;
+  histories: ChatItemType[];
+  variables: Record<string, any>;
+  stream: boolean;
+  detail: boolean; // response detail
+};
+
+export type ModuleDispatchProps<T> = ChatDispatchProps & {
+  outputs: RunningModuleItemType['outputs'];
+  inputs: T;
+};

packages/global/core/plugin/type.d.ts

@@ -15,14 +15,19 @@ export type PluginItemSchema = {
 };
 
 /* plugin template */
-export type PluginTemplateType = {
+export type PluginTemplateType = PluginRuntimeType & {
   author?: string;
   id: string;
   source: `${PluginSourceEnum}`;
   templateType: FlowModuleTemplateType['templateType'];
+  intro: string;
+  modules: ModuleItemType[];
+};
+
+export type PluginRuntimeType = {
+  teamId?: string;
   name: string;
   avatar: string;
-  intro: string;
   showStatus?: boolean;
   modules: ModuleItemType[];
 };

packages/global/package.json

@@ -2,11 +2,12 @@
   "name": "@fastgpt/global",
   "version": "1.0.0",
   "dependencies": {
+    "axios": "^1.5.1",
     "dayjs": "^1.11.7",
-    "openai": "4.23.0",
     "encoding": "^0.1.13",
     "js-tiktoken": "^1.0.7",
-    "axios": "^1.5.1",
+    "openai": "4.23.0",
+    "pdfjs-dist": "^4.0.269",
     "timezones-list": "^3.0.2"
   },
   "devDependencies": {

packages/service/common/mongo/init.ts

@@ -20,11 +20,12 @@ export async function connectMongo({
   console.log('mongo start connect');
   try {
     mongoose.set('strictQuery', true);
+    const maxConnecting = Math.max(30, Number(process.env.DB_MAX_LINK || 20));
     await mongoose.connect(process.env.MONGODB_URI as string, {
       bufferCommands: true,
-      maxConnecting: Number(process.env.DB_MAX_LINK || 5),
-      maxPoolSize: Number(process.env.DB_MAX_LINK || 5),
-      minPoolSize: Math.min(10, Number(process.env.DB_MAX_LINK || 10)),
+      maxConnecting: maxConnecting,
+      maxPoolSize: maxConnecting,
+      minPoolSize: 20,
       connectTimeoutMS: 60000,
       waitQueueTimeoutMS: 60000,
       socketTimeoutMS: 60000,

packages/service/common/pg/index.ts

@@ -9,7 +9,8 @@ export const connectPg = async (): Promise<Pool> => {
 
   global.pgClient = new Pool({
     connectionString: process.env.PG_URL,
-    max: Number(process.env.DB_MAX_LINK || 5),
+    max: Number(process.env.DB_MAX_LINK || 20),
+    min: 10,
     keepAlive: true,
     idleTimeoutMillis: 60000,
     connectionTimeoutMillis: 20000

packages/service/common/system/config/controller.ts

@@ -1,15 +1,15 @@
 import { SystemConfigsTypeEnum } from '@fastgpt/global/common/system/config/constants';
 import { MongoSystemConfigs } from './schema';
-import { FeConfigsType } from '@fastgpt/global/common/system/types';
+import { FastGPTConfigFileType } from '@fastgpt/global/common/system/types';
 
-export const getFastGPTFeConfig = async () => {
+export const getFastGPTConfigFromDB = async () => {
   const res = await MongoSystemConfigs.findOne({
     type: SystemConfigsTypeEnum.fastgpt
   }).sort({
     createTime: -1
   });
 
-  const config: FeConfigsType = res?.value?.FeConfig || {};
+  const config = res?.value || {};
 
-  return config;
+  return config as Omit<FastGPTConfigFileType, 'systemEnv'>;
 };

packages/service/common/system/config/schema.ts

@@ -22,7 +22,6 @@ const systemConfigSchema = new Schema({
 });
 
 try {
-  systemConfigSchema.index({ createTime: -1 }, { expireAfterSeconds: 90 * 24 * 60 * 60 });
   systemConfigSchema.index({ type: 1 });
 } catch (error) {
   console.log(error);

packages/service/core/ai/audio/speech.ts

@@ -1,14 +1,12 @@
 import type { NextApiResponse } from 'next';
 import { getAIApi } from '../config';
-import { defaultAudioSpeechModels } from '../../../../global/core/ai/model';
-import { UserModelSchema } from '@fastgpt/global/support/user/type';
 
 export async function text2Speech({
   res,
   onSuccess,
   onError,
   input,
-  model = defaultAudioSpeechModels[0].model,
+  model,
   voice,
   speed = 1
 }: {

packages/service/core/ai/functions/queryExtension.ts

@@ -0,0 +1,59 @@
+import { replaceVariable } from '@fastgpt/global/common/string/tools';
+import { getAIApi } from '../config';
+
+const prompt = `
+您的任务是生成根据用户问题，从不同角度，生成两个不同版本的问题，以便可以从矢量数据库检索相关文档。例如：
+问题: FastGPT如何使用？
+OUTPUT: ["FastGPT使用教程。","怎么使用FastGPT？"]
+-------------------
+问题: FastGPT如何收费？
+OUTPUT: ["FastGPT收费标准。","FastGPT是如何计费的？"]
+-------------------
+问题: 怎么FastGPT部署？
+OUTPUT: ["FastGPT的部署方式。","如何部署FastGPT？"]
+-------------------
+问题 question: {{q}}
+OUTPUT: 
+`;
+
+export const searchQueryExtension = async ({ query, model }: { query: string; model: string }) => {
+  const ai = getAIApi(undefined, 480000);
+
+  const result = await ai.chat.completions.create({
+    model,
+    temperature: 0,
+    messages: [
+      {
+        role: 'user',
+        content: replaceVariable(prompt, { q: query })
+      }
+    ],
+    stream: false
+  });
+
+  const answer = result.choices?.[0]?.message?.content || '';
+  if (!answer) {
+    return {
+      queries: [query],
+      model,
+      inputTokens: 0,
+      responseTokens: 0
+    };
+  }
+
+  try {
+    return {
+      queries: JSON.parse(answer) as string[],
+      model,
+      inputTokens: result.usage?.prompt_tokens || 0,
+      responseTokens: result.usage?.completion_tokens || 0
+    };
+  } catch (error) {
+    return {
+      queries: [query],
+      model,
+      inputTokens: 0,
+      responseTokens: 0
+    };
+  }
+};

packages/service/core/dataset/training/schema.ts

@@ -79,6 +79,10 @@ const TrainingDataSchema = new Schema({
     type: Number,
     default: 0
   },
+  weight: {
+    type: Number,
+    default: 0
+  },
   indexes: {
     type: [
       {

packages/service/core/plugin/controller.ts

@@ -3,7 +3,7 @@ import { FlowModuleTemplateType } from '@fastgpt/global/core/module/type';
 import { FlowNodeTypeEnum } from '@fastgpt/global/core/module/node/constant';
 import { plugin2ModuleIO } from '@fastgpt/global/core/module/utils';
 import { PluginSourceEnum } from '@fastgpt/global/core/plugin/constants';
-import type { PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';
+import type { PluginRuntimeType, PluginTemplateType } from '@fastgpt/global/core/plugin/type.d';
 import { ModuleTemplateTypeEnum } from '@fastgpt/global/core/module/constants';
 
 /* 
@@ -41,6 +41,7 @@ const getPluginTemplateById = async (id: string): Promise<PluginTemplateType> =>
     if (!item) return Promise.reject('plugin not found');
     return {
       id: String(item._id),
+      teamId: String(item.teamId),
       name: item.name,
       avatar: item.avatar,
       intro: item.intro,
@@ -74,16 +75,14 @@ export async function getPluginPreviewModule({
 }
 
 /* run plugin time */
-export async function getPluginRuntimeById(id: string): Promise<PluginTemplateType> {
+export async function getPluginRuntimeById(id: string): Promise<PluginRuntimeType> {
   const plugin = await getPluginTemplateById(id);
 
   return {
-    id: plugin.id,
-    source: plugin.source,
-    templateType: plugin.templateType,
+    teamId: plugin.teamId,
     name: plugin.name,
     avatar: plugin.avatar,
-    intro: plugin.intro,
+    showStatus: plugin.showStatus,
     modules: plugin.modules
   };
 }

packages/service/support/permission/controller.ts

@@ -56,7 +56,7 @@ export async function parseHeaderCert({
   async function authCookieToken(cookie?: string, token?: string) {
     // 获取 cookie
     const cookies = Cookie.parse(cookie || '');
-    const cookieToken = cookies.token || token;
+    const cookieToken = token || cookies.token;
 
     if (!cookieToken) {
       return Promise.reject(ERROR_ENUM.unAuthorization);
@@ -127,7 +127,7 @@ export async function parseHeaderCert({
         authType: AuthUserTypeEnum.apikey
       };
     }
-    if (authToken && (cookie || token)) {
+    if (authToken && (token || cookie)) {
       // user token(from fastgpt web)
       const res = await authCookieToken(cookie, token);
       return {
@@ -182,7 +182,7 @@ export async function parseHeaderCert({
 export const setCookie = (res: NextApiResponse, token: string) => {
   res.setHeader(
     'Set-Cookie',
-    `token=${token}; Path=/; HttpOnly; Max-Age=604800; Samesite=None; Secure;`
+    `token=${token}; Path=/; HttpOnly; Max-Age=604800; Samesite=Strict; Secure;`
   );
 };
 /* clear cookie */

packages/web/common/file/img.ts

@@ -0,0 +1,66 @@
+export type CompressImgProps = {
+  maxW?: number;
+  maxH?: number;
+  maxSize?: number;
+};
+
+export const compressBase64ImgAndUpload = ({
+  base64Img,
+  maxW = 1080,
+  maxH = 1080,
+  maxSize = 1024 * 500, // 300kb
+  uploadController
+}: CompressImgProps & {
+  base64Img: string;
+  uploadController: (base64: string) => Promise<string>;
+}) => {
+  return new Promise<string>((resolve, reject) => {
+    const fileType =
+      /^data:([a-zA-Z0-9]+\/[a-zA-Z0-9-.+]+).*,/.exec(base64Img)?.[1] || 'image/jpeg';
+
+    const img = new Image();
+    img.src = base64Img;
+    img.onload = async () => {
+      let width = img.width;
+      let height = img.height;
+
+      if (width > height) {
+        if (width > maxW) {
+          height *= maxW / width;
+          width = maxW;
+        }
+      } else {
+        if (height > maxH) {
+          width *= maxH / height;
+          height = maxH;
+        }
+      }
+
+      const canvas = document.createElement('canvas');
+      canvas.width = width;
+      canvas.height = height;
+      const ctx = canvas.getContext('2d');
+
+      if (!ctx) {
+        return reject('压缩图片异常');
+      }
+
+      ctx.drawImage(img, 0, 0, width, height);
+      const compressedDataUrl = canvas.toDataURL(fileType, 1);
+      // 移除 canvas 元素
+      canvas.remove();
+
+      if (compressedDataUrl.length > maxSize) {
+        return reject('图片太大了');
+      }
+
+      try {
+        const src = await uploadController(compressedDataUrl);
+        resolve(src);
+      } catch (error) {
+        reject(error);
+      }
+    };
+    img.onerror = reject;
+  });
+};

packages/web/common/file/read.ts

@@ -0,0 +1,53 @@
+import { uploadMarkdownBase64 } from '@fastgpt/global/common/string/markdown';
+import { htmlStr2Md } from '../string/markdown';
+/**
+ * read file raw text
+ */
+export const readFileRawText = (file: File) => {
+  return new Promise((resolve: (_: string) => void, reject) => {
+    try {
+      const reader = new FileReader();
+      reader.onload = () => {
+        resolve(reader.result as string);
+      };
+      reader.onerror = (err) => {
+        console.log('error txt read:', err);
+        reject('Read file error');
+      };
+      reader.readAsText(file);
+    } catch (error) {
+      reject(error);
+    }
+  });
+};
+
+export const readMdFile = async ({
+  file,
+  uploadImgController
+}: {
+  file: File;
+  uploadImgController: (base64: string) => Promise<string>;
+}) => {
+  const md = await readFileRawText(file);
+  const rawText = await uploadMarkdownBase64({
+    rawText: md,
+    uploadImgController
+  });
+  return rawText;
+};
+
+export const readHtmlFile = async ({
+  file,
+  uploadImgController
+}: {
+  file: File;
+  uploadImgController: (base64: string) => Promise<string>;
+}) => {
+  const md = htmlStr2Md(await readFileRawText(file));
+  const rawText = await uploadMarkdownBase64({
+    rawText: md,
+    uploadImgController
+  });
+
+  return rawText;
+};

packages/web/common/string/markdown.ts

@@ -0,0 +1,35 @@
+import TurndownService from 'turndown';
+// @ts-ignore
+import * as turndownPluginGfm from 'joplin-turndown-plugin-gfm';
+
+const turndownService = new TurndownService({
+  headingStyle: 'atx',
+  bulletListMarker: '-',
+  codeBlockStyle: 'fenced',
+  fence: '```',
+  emDelimiter: '_',
+  strongDelimiter: '**',
+  linkStyle: 'inlined',
+  linkReferenceStyle: 'full'
+});
+export const htmlStr2Md = (html: string) => {
+  // 浏览器，html字符串转dom
+  const parser = new DOMParser();
+  const dom = parser.parseFromString(html, 'text/html');
+
+  turndownService.remove(['i', 'script', 'iframe']);
+  turndownService.addRule('codeBlock', {
+    filter: 'pre',
+    replacement(_, node) {
+      const content = node.textContent?.trim() || '';
+      // @ts-ignore
+      const codeName = node?._attrsByQName?.class?.data?.trim() || '';
+
+      return `\n\`\`\`${codeName}\n${content}\n\`\`\`\n`;
+    }
+  });
+
+  turndownService.use(turndownPluginGfm.gfm);
+
+  return turndownService.turndown(dom);
+};

packages/web/package.json

@@ -1,6 +1,12 @@
 {
   "name": "@fastgpt/web",
   "version": "1.0.0",
-  "dependencies": {},
-  "devDependencies": {}
+  "dependencies": {
+    "@fastgpt/global": "workspace:*",
+    "joplin-turndown-plugin-gfm": "^1.0.12",
+    "turndown": "^7.1.2"
+  },
+  "devDependencies": {
+    "@types/turndown": "^5.0.4"
+  }
 }

projects/app/.env.template

@@ -1,3 +1,4 @@
+LOG_DEPTH=3
 # 默认用户密码，用户名为 root，每次重启时会自动更新。
 DEFAULT_ROOT_PSW=123456
 # 数据库最大连接数

projects/app/data/config.json

@@ -1,16 +1,16 @@
 {
-  "SystemParams": {
+  "systemEnv": {
     "pluginBaseUrl": "",
     "vectorMaxProcess": 15,
     "qaMaxProcess": 15,
     "pgHNSWEfSearch": 100
   },
-  "ChatModels": [
+  "chatModels": [
     {
-      "model": "gpt-3.5-turbo-1106",
-      "name": "GPT35-1106",
+      "model": "gpt-3.5-turbo",
+      "name": "GPT35",
       "price": 0,
-      "maxContext": 16000,
+      "maxContext": 4000,
       "maxResponse": 4000,
       "quoteMaxToken": 2000,
       "maxTemperature": 1.2,
@@ -55,7 +55,7 @@
       "defaultSystemChatPrompt": ""
     }
   ],
-  "QAModels": [
+  "qaModels": [
     {
       "model": "gpt-3.5-turbo-16k",
       "name": "GPT35-16k",
@@ -64,14 +64,14 @@
       "price": 0
     }
   ],
-  "CQModels": [
+  "cqModels": [
     {
       "model": "gpt-3.5-turbo",
       "name": "GPT35",
       "maxContext": 4000,
       "maxResponse": 4000,
       "price": 0,
-      "functionCall": true,
+      "toolChoice": true,
       "functionPrompt": ""
     },
     {
@@ -80,22 +80,22 @@
       "maxContext": 8000,
       "maxResponse": 8000,
       "price": 0,
-      "functionCall": true,
+      "toolChoice": true,
       "functionPrompt": ""
     }
   ],
-  "ExtractModels": [
+  "extractModels": [
     {
       "model": "gpt-3.5-turbo-1106",
       "name": "GPT35-1106",
       "maxContext": 16000,
       "maxResponse": 4000,
       "price": 0,
-      "functionCall": true,
+      "toolChoice": true,
       "functionPrompt": ""
     }
   ],
-  "QGModels": [
+  "qgModels": [
     {
       "model": "gpt-3.5-turbo-1106",
       "name": "GPT35-1106",
@@ -104,17 +104,18 @@
       "price": 0
     }
   ],
-  "VectorModels": [
+  "vectorModels": [
     {
       "model": "text-embedding-ada-002",
       "name": "Embedding-2",
       "price": 0.2,
       "defaultToken": 700,
-      "maxToken": 3000
+      "maxToken": 3000,
+      "weight": 100
     }
   ],
-  "ReRankModels": [],
-  "AudioSpeechModels": [
+  "reRankModels": [],
+  "audioSpeechModels": [
     {
       "model": "tts-1",
       "name": "OpenAI TTS1",
@@ -129,7 +130,7 @@
       ]
     }
   ],
-  "WhisperModel": {
+  "whisperModel": {
     "model": "whisper-1",
     "name": "Whisper1",
     "price": 0

projects/app/data/simpleTemplates/fastgpt-simple.json

@@ -10,6 +10,9 @@
       "quoteTemplate": false,
       "quotePrompt": false
     },
+    "cfr": {
+      "background": true
+    },
     "dataset": {
       "datasets": true,
       "similarity": false,

projects/app/next-i18next.config.js

@@ -7,7 +7,7 @@ module.exports = {
   i18n: {
     defaultLocale: 'zh',
     locales: ['en', 'zh'],
-    localeDetection: true
+    localeDetection: false
   },
   localePath:
     typeof window === 'undefined' ? require('path').resolve('./public/locales') : '/public/locales',

projects/app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "app",
-  "version": "4.6.5",
+  "version": "4.6.6",
   "private": false,
   "scripts": {
     "dev": "next dev",
@@ -17,32 +17,38 @@
     "@chakra-ui/system": "^2.6.1",
     "@emotion/react": "^11.11.1",
     "@emotion/styled": "^11.11.0",
-    "@fastgpt/plugins": "workspace:*",
     "@fastgpt/global": "workspace:*",
+    "@fastgpt/plugins": "workspace:*",
     "@fastgpt/service": "workspace:*",
     "@fastgpt/web": "workspace:*",
     "@node-rs/jieba": "^1.7.2",
     "@tanstack/react-query": "^4.24.10",
     "@types/nprogress": "^0.2.0",
+    "axios": "^1.5.1",
     "date-fns": "^2.30.0",
+    "dayjs": "^1.11.7",
     "echarts": "^5.4.1",
-    "next": "13.5.2",
     "echarts-gl": "^2.0.9",
     "formidable": "^2.1.1",
     "framer-motion": "^9.0.6",
     "hyperdown": "^2.4.29",
+    "i18next": "^22.5.1",
     "immer": "^9.0.19",
     "jschardet": "^3.0.0",
     "jsonwebtoken": "^9.0.2",
     "lodash": "^4.17.21",
     "mammoth": "^1.6.0",
     "mermaid": "^10.2.3",
+    "nanoid": "^4.0.1",
+    "next": "13.5.2",
+    "next-i18next": "^13.3.0",
     "nprogress": "^0.2.0",
     "papaparse": "^5.4.1",
     "react": "18.2.0",
     "react-day-picker": "^8.7.1",
     "react-dom": "18.2.0",
     "react-hook-form": "^7.43.1",
+    "react-i18next": "^12.3.1",
     "react-markdown": "^8.0.7",
     "react-syntax-highlighter": "^15.5.0",
     "reactflow": "^11.7.4",
@@ -52,13 +58,7 @@
     "remark-math": "^5.1.1",
     "request-ip": "^3.3.0",
     "sass": "^1.58.3",
-    "zustand": "^4.3.5",
-    "i18next": "^22.5.1",
-    "next-i18next": "^13.3.0",
-    "react-i18next": "^12.3.1",
-    "axios": "^1.5.1",
-    "nanoid": "^4.0.1",
-    "dayjs": "^1.11.7"
+    "zustand": "^4.3.5"
   },
   "devDependencies": {
     "@svgr/webpack": "^6.5.1",

projects/app/public/docs/versionIntro.md

@@ -1,13 +1,14 @@
-### Fast GPT V4.6.4
+### Fast GPT V4.6.5
 
-1. 重写 - 分享链接身份逻辑，采用 localID 记录用户的ID。
-2. 商业版新增 - 分享链接 SSO 方案，通过`身份鉴权`地址，仅需`3个接口`即可完全接入已有用户系统。具体参考[分享链接身份鉴权](https://doc.fastgpt.in/docs/development/openapi/share/)
-3. 新增 - 分享链接更多嵌入方式提示，更多DIY方式。
-4. 优化 - 历史记录模块。弃用旧的历史记录模块，直接在对应地方填写数值即可。
-5. 调整 - 知识库搜索模块 topk 逻辑，采用 MaxToken 计算，兼容不同长度的文本块
-6. 链接读取支持多选择器。参考[Web 站点同步用法](https://doc.fastgpt.in/docs/course/websync)
-7. [知识库结构详解](https://doc.fastgpt.in/docs/use-cases/datasetengine/)
-8. [知识库提示词详解](https://doc.fastgpt.in/docs/use-cases/ai_settings/#引用模板--引用提示词)
-9. [使用文档](https://doc.fastgpt.in/docs/intro/)
-10. [点击查看高级编排介绍文档](https://doc.fastgpt.in/docs/workflow)
-11. [点击查看商业版](https://doc.fastgpt.in/docs/commercial/)
+1. 新增 - [问题补全模块](https://doc.fastgpt.in/docs/workflow/modules/coreferenceresolution/)
+2. 新增 - [文本编辑模块](https://doc.fastgpt.in/docs/workflow/modules/text_editor/)
+3. 新增 - [判断器模块](https://doc.fastgpt.in/docs/workflow/modules/tfswitch/)
+4. 新增 - [自定义反馈模块](https://doc.fastgpt.in/docs/workflow/modules/custom_feedback/)
+5. 新增 - 【内容提取】模块支持选择模型，以及字段枚举
+6. 优化 - docx读取，兼容表格（表格转markdown）
+7. 优化 - 高级编排连接线交互
+8. 优化 - 由于 html2md 导致的 cpu密集计算，阻断线程问题
+9. 修复 - 高级编排提示词提取描述
+10. [使用文档](https://doc.fastgpt.in/docs/intro/)
+11. [点击查看高级编排介绍文档](https://doc.fastgpt.in/docs/workflow)
+12. [点击查看商业版](https://doc.fastgpt.in/docs/commercial/)

projects/app/public/icon/login-bg.svg

@@ -1,3 +1,520 @@
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+                        <stop offset="0.35896" stop-color="#699EFF" />
+                        <stop offset="0.683604" stop-color="#4A8AFF" />
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+                <linearGradient id="paint15_linear_840_3557" x1="100.049" y1="371.005" x2="194.054" y2="333.268"
+                        gradientUnits="userSpaceOnUse">
+                        <stop stop-color="#679BFF" />
+                        <stop offset="0.525226" stop-color="#68A5FF" />
+                        <stop offset="0.89375" stop-color="#7FB2FF" />
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+                <linearGradient id="paint16_linear_840_3557" x1="92.6638" y1="379.433" x2="189.281" y2="298.378"
+                        gradientUnits="userSpaceOnUse">
+                        <stop offset="0.180663" stop-color="white" stop-opacity="0.35" />
+                        <stop offset="0.533255" stop-color="white" stop-opacity="0" />
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+                <linearGradient id="paint17_linear_840_3557" x1="129.228" y1="360.436" x2="156.999" y2="303.538"
+                        gradientUnits="userSpaceOnUse">
+                        <stop stop-color="#A6C9FF" />
+                        <stop offset="1" stop-color="#72B3FF" />
+                </linearGradient>
+                <linearGradient id="paint18_linear_840_3557" x1="147.987" y1="300.5" x2="130.326" y2="349.584"
+                        gradientUnits="userSpaceOnUse">
+                        <stop stop-color="#E7F3FF" />
+                        <stop offset="1" stop-color="#E7F3FF" />
+                </linearGradient>
+                <linearGradient id="paint19_linear_840_3557" x1="123.476" y1="343.82" x2="172.132" y2="333.675"
+                        gradientUnits="userSpaceOnUse">
+                        <stop stop-color="white" />
+                        <stop offset="1" stop-color="white" stop-opacity="0" />
+                </linearGradient>
+                <linearGradient id="paint20_linear_840_3557" x1="1545.73" y1="515.433" x2="1338.05" y2="646.635"
+                        gradientUnits="userSpaceOnUse">
+                        <stop stop-color="#9CBDFE" />
+                        <stop offset="0.35896" stop-color="#579AFF" />
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+                </linearGradient>
+                <linearGradient id="paint21_linear_840_3557" x1="1458.83" y1="638.093" x2="1368.35" y2="475.607"
+                        gradientUnits="userSpaceOnUse">
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+                        <stop offset="0.604167" stop-color="#7EB2FF" />
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+                        gradientUnits="userSpaceOnUse">
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+                </linearGradient>
+                <linearGradient id="paint23_linear_840_3557" x1="1413.64" y1="493.752" x2="1413.64" y2="575.204"
+                        gradientUnits="userSpaceOnUse">
+                        <stop stop-color="#C3D8FF" />
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+                </linearGradient>
+                <linearGradient id="paint24_linear_840_3557" x1="1428.45" y1="490.753" x2="1433.59" y2="564.353"
+                        gradientUnits="userSpaceOnUse">
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+                        gradientUnits="userSpaceOnUse">
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+                        gradientUnits="userSpaceOnUse">
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+                        gradientUnits="userSpaceOnUse">
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+                        <stop offset="0.533255" stop-color="white" stop-opacity="0" />
+                </linearGradient>
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+                        gradientUnits="userSpaceOnUse">
+                        <stop offset="0.0208333" stop-color="#A7C6FF" />
+                        <stop offset="1" stop-color="#ABC8FF" />
+                </linearGradient>
+                <linearGradient id="paint29_linear_840_3557" x1="1202.12" y1="69.6006" x2="1216.2" y2="110.841"
+                        gradientUnits="userSpaceOnUse">
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+                        <stop offset="1" stop-color="#F3FAFF" />
+                </linearGradient>
+                <linearGradient id="paint30_linear_840_3557" x1="1225.45" y1="113.607" x2="1173.97" y2="88.5136"
+                        gradientUnits="userSpaceOnUse">
+                        <stop stop-color="white" />
+                        <stop offset="1" stop-color="white" stop-opacity="0" />
+                </linearGradient>
+                <clipPath id="clip0_840_3557">
+                        <rect width="1440" height="1554.93" fill="white" />
+                </clipPath>
+                <clipPath id="clip1_840_3557">
+                        <rect width="64.1261" height="64.1261" fill="white"
+                                transform="matrix(0.956305 0.292372 0.0348995 0.999391 111.689 291.145)" />
+                </clipPath>
+                <clipPath id="clip2_840_3557">
+                        <rect width="64.1261" height="64.1261" fill="white"
+                                transform="matrix(0.956305 0.292372 0.0348995 0.999391 117.168 285.666)" />
+                </clipPath>
+                <clipPath id="clip3_840_3557">
+                        <rect width="95.4896" height="95.4896" fill="white"
+                                transform="matrix(0.997564 -0.0697565 -0.309017 0.951057 1388.25 493.176)" />
+                </clipPath>
+                <clipPath id="clip4_840_3557">
+                        <rect width="95.4896" height="95.4896" fill="white"
+                                transform="matrix(0.997564 -0.0697565 -0.309017 0.951057 1383.29 486.514)" />
+                </clipPath>
+                <clipPath id="clip5_840_3557">
+                        <rect width="56.013" height="56.013" fill="white"
+                                transform="matrix(0.946375 -0.323069 -0.0375396 0.999295 1175.79 73.9841)" />
+                </clipPath>
+        </defs>
+</svg>

projects/app/public/imgs/module/cfr.svg

@@ -0,0 +1 @@
+<?xml version="1.0" standalone="no"?><!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd"><svg t="1703041511149" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="7024" xmlns:xlink="http://www.w3.org/1999/xlink" width="128" height="128"><path d="M512.512 128a384 384 0 1 1-384 384 384 384 0 0 1 384-384z m0 96a288 288 0 1 0 288 288 288 288 0 0 0-288-288z" fill="#3671FD" opacity=".2" p-id="7025"></path><path d="M512.512 64a448 448 0 1 1-302.56 117.6A32.032 32.032 0 1 1 253.312 228.8a384 384 0 1 0 298.016-98.88l-6.816-0.608v140.032a32 32 0 0 1-28.256 31.776l-3.744 0.224a32 32 0 0 1-31.776-28.288l-0.224-3.712V64z" fill="#3671FD" p-id="7026"></path><path d="M336.32 313.376l216.224 165.344a52.288 52.288 0 1 1-73.28 73.312l-165.376-216.224a16 16 0 0 1 22.4-22.4z" fill="#FE9C23" p-id="7027"></path></svg>

projects/app/public/locales/en/common.json

@@ -231,7 +231,9 @@
     },
     "app": {
       "App params config": "App Config",
+      "Chat Variable": "",
       "Next Step Guide": "Next step guide",
+      "Question Guide": "",
       "Question Guide Tip": "At the end of the conversation, three leading questions will be asked.",
       "Save and preview": "Save",
       "Select TTS": "Select TTS",
@@ -245,7 +247,9 @@
         "Out Ad Edit": "You are about to exit the Advanced orchestration page, please confirm",
         "Prompt Editor": "Prompt Editor",
         "Save and out": "Save out",
-        "UnSave": "UnSave"
+        "UnSave": "UnSave",
+        "cfr background prompt": "Question completion - Chat background description",
+        "cfr background tip": "Describing the scope of the current conversation makes it easier for AI to complete first or vague questions, thereby enhancing the knowledge base's ability to continue conversations. \nIf is empty, the problem completion function is not used."
       },
       "feedback": {
         "Custom feedback": "Custom feedback",
@@ -295,7 +299,10 @@
       "Stop Speak": "Stop Speak",
       "Type a message": "Input problem",
       "error": {
-        "Messages empty": "Interface content is empty, maybe the text is too long ~"
+        "Chat error": "Chat error",
+        "Messages empty": "Interface content is empty, maybe the text is too long ~",
+        "Select dataset empty": "You didn't choose any dataset.",
+        "user input empty": "User question is empty"
       },
       "feedback": {
         "Close User Good Feedback": "",
@@ -315,6 +322,7 @@
         "Read Source": "Read Source"
       },
       "response": {
+        "Plugin Resonse Detail": "Plugin Detail",
         "context total length": "Context Length",
         "module cq": "Question classification list",
         "module cq result": "Classification Result",
@@ -442,6 +450,8 @@
         "Chunk Split": "Chunk Split",
         "Chunk Split Tip": "Select the files and split the by sentences",
         "Csv format error": "The csv file format is incorrect, please ensure that the index and content columns are two",
+        "Custom split char": "Custom split char",
+        "Custom split char Tips": "Allows you to block according to custom delimiters. It is usually used for processed data, using specific delimiters to precisely block it.",
         "Estimated Price": "Estimated Price",
         "Estimated Price Tips": "Index generation is billed as: {{price}}/1k tokens",
         "Fetch Error": "Get link failed",
@@ -541,6 +551,7 @@
           "Http Request Url": "",
           "TFSwitch textarea": "",
           "anyInput": "",
+          "cfr background": "The background knowledge of the current conversation makes it easy to complete the first question and the fuzzy question, and only needs to briefly describe the scope of the current conversation.",
           "dynamic input": "",
           "textEditor textarea": "The passed variable can be referenced by {{key}}."
         },
@@ -549,11 +560,16 @@
           "Http Request Method": "",
           "Http Request Url": "",
           "TFSwitch textarea": "",
+          "aiModel": "",
           "anyInput": "",
+          "cfr background": "Background",
           "chat history": "chat history",
           "switch": "Switch",
           "textEditor textarea": "Text Edit",
           "user question": "User question"
+        },
+        "placeholder": {
+          "cfr background": "Questions about the introduction and use of python. \nThe current dialogue is related to the game GTA5."
         }
       },
       "inputType": {
@@ -574,6 +590,7 @@
           "running done": "Triggered when the module call ends"
         },
         "label": {
+          "cfr result": "",
           "result false": "",
           "result true": "",
           "running done": "End of module call ",
@@ -584,6 +601,8 @@
         "TFSwitch": "",
         "TFSwitch intro": "",
         "UnKnow Module": "UnKnow Module",
+        "cfr": "",
+        "cfr intro": "Refine the current issue based on history, making it more conducive to knowledge base search, while improving continuous conversation capabilities.",
         "textEditor": "Text Editor",
         "textEditor intro": "Output of fixed or incoming text after edit"
       },
@@ -837,6 +856,17 @@
     "To Edit Plugin": "To Edit",
     "Update Your Plugin": "Update Plugin"
   },
+  "support": {
+    "user": {
+      "auth": {
+        "Sending Code": "Sending"
+      },
+      "login": {
+        "Github": "Github",
+        "Google": "Google"
+      }
+    }
+  },
   "system": {
     "Help Document": "Document"
   },

projects/app/public/locales/zh/common.json

@@ -231,7 +231,9 @@
     },
     "app": {
       "App params config": "应用配置",
+      "Chat Variable": "对话框变量",
       "Next Step Guide": "下一步指引",
+      "Question Guide": "问题引导",
       "Question Guide Tip": "对话结束后，会为生成 3 个引导性问题。",
       "Save and preview": "保存并预览",
       "Select TTS": "选择语音播放模式",
@@ -245,7 +247,9 @@
         "Out Ad Edit": "您即将退出高级编排页面，请确认",
         "Prompt Editor": "提示词编辑",
         "Save and out": "保存并退出",
-        "UnSave": "不保存"
+        "UnSave": "不保存",
+        "cfr background prompt": "问题补全 - 对话背景描述",
+        "cfr background tip": "描述当前对话的范围，便于AI补全首次问题或模糊的问题，从而增强知识库连续对话的能力。\n为空时，表示不使用问题补全功能。"
       },
       "feedback": {
         "Custom feedback": "自定义反馈",
@@ -295,7 +299,10 @@
       "Stop Speak": "停止录音",
       "Type a message": "输入问题",
       "error": {
-        "Messages empty": "接口内容为空，可能文本超长了~"
+        "Chat error": "对话出现异常",
+        "Messages empty": "接口内容为空，可能文本超长了~",
+        "Select dataset empty": "你没有选择知识库",
+        "user input empty": "传入的用户问题为空"
       },
       "feedback": {
         "Close User Good Feedback": "",
@@ -315,6 +322,7 @@
         "Read Source": "查看来源"
       },
       "response": {
+        "Plugin Resonse Detail": "插件详情",
         "context total length": "上下文总长度",
         "module cq": "问题分类列表",
         "module cq result": "分类结果",
@@ -442,6 +450,8 @@
         "Chunk Split": "直接分段",
         "Chunk Split Tip": "选择文本文件，直接将其按分段进行处理",
         "Csv format error": "csv 文件格式有误,请确保 index 和 content 两列",
+        "Custom split char": "自定义分隔符",
+        "Custom split char Tips": "允许你根据自定义的分隔符进行分块。通常用于已处理好的数据，使用特定的分隔符来精确分块。",
         "Estimated Price": "预估价格",
         "Estimated Price Tips": "索引生成计费为: {{price}}/1k tokens",
         "Fetch Error": "获取链接失败",
@@ -479,7 +489,7 @@
           "embeddingReRank": "增强语义检索",
           "embeddingReRank desc": "超额进行向量 topk 查询后再使用 Rerank 进行排序，相关度通常差异明显。"
         },
-        "search mode": "检索模式"
+        "search mode": "搜索模式"
       },
       "status": {
         "active": "已就绪",
@@ -541,6 +551,7 @@
           "Http Request Url": "新的HTTP请求地址。如果出现两个“请求地址”，可以删除该模块重新加入，会拉取最新的模块配置。",
           "TFSwitch textarea": "允许定义一些字符串来实现 false 匹配，每行一个，支持正则表达式。",
           "anyInput": "可传入任意内容",
+          "cfr background": "描述当前对话的范围，便于AI补全首次问题或模糊的问题，从而增强知识库连续对话的能力。\n为空时，表示【首次对话】不使用问题补全功能。",
           "dynamic input": "接收用户动态添加的参数，会在运行时将这些参数平铺传入",
           "textEditor textarea": "可以通过 {{key}} 的方式引用传入的变量。变量仅支持字符串或数字。"
         },
@@ -549,11 +560,16 @@
           "Http Request Method": "请求方式",
           "Http Request Url": "请求地址",
           "TFSwitch textarea": "自定义 False 匹配规则",
+          "aiModel": "AI 模型",
           "anyInput": "任意内容输入",
+          "cfr background": "背景知识",
           "chat history": "聊天记录",
           "switch": "触发器",
           "textEditor textarea": "文本编辑",
           "user question": "用户问题"
+        },
+        "placeholder": {
+          "cfr background": "关于 python 的介绍和使用等问题。\n当前对话与游戏《GTA5》有关。"
         }
       },
       "inputType": {
@@ -574,6 +590,7 @@
           "running done": "模块调用结束时触发"
         },
         "label": {
+          "cfr result": "补全结果",
           "result false": "False",
           "result true": "True",
           "running done": "模块调用结束",
@@ -584,6 +601,8 @@
         "TFSwitch": "判断器",
         "TFSwitch intro": "根据传入的内容进行 True False 输出。默认情况下，当传入的内容为 false, undefined, null, 0, none 时，会输出 false。你也可以增加一些自定义的字符串来补充输出 false 的内容。",
         "UnKnow Module": "未知模块",
+        "cfr": "问题补全",
+        "cfr intro": "根据历史记录，完善当前问题，使其更利于知识库搜索，同时提高连续对话能力。",
         "textEditor": "文本加工",
         "textEditor intro": "可对固定或传入的文本进行加工后输出"
       },
@@ -837,6 +856,17 @@
     "To Edit Plugin": "去编辑",
     "Update Your Plugin": "更新插件"
   },
+  "support": {
+    "user": {
+      "auth": {
+        "Sending Code": "正在发送"
+      },
+      "login": {
+        "Github": "Github 登录",
+        "Google": "Google 登录"
+      }
+    }
+  },
   "system": {
     "Help Document": "帮助文档"
   },

projects/app/src/components/Badge/index.tsx

@@ -18,11 +18,11 @@ const Badge = ({
       {count > 0 && (
         <Box position={'absolute'} right={0} top={0} transform={'translate(70%,-50%)'}>
           {isDot ? (
-            <Box w={'5px'} h={'5px'} bg={'myRead.600'} borderRadius={'20px'}></Box>
+            <Box w={'5px'} h={'5px'} bg={'red.600'} borderRadius={'20px'}></Box>
           ) : (
             <Box
               color={'white'}
-              bg={'myRead.600'}
+              bg={'red.600'}
               lineHeight={0.9}
               borderRadius={'100px'}
               px={'4px'}

projects/app/src/components/ChatBox/FeedbackModal.tsx

@@ -49,7 +49,7 @@ const FeedbackModal = ({
         <Textarea ref={ref} rows={10} placeholder={t('chat.Feedback Modal Tip')} />
       </ModalBody>
       <ModalFooter>
-        <Button variant={'base'} mr={2} onClick={onClose}>
+        <Button variant={'whiteBase'} mr={2} onClick={onClose}>
           {t('Cancel')}
         </Button>
         <Button isLoading={isLoading} onClick={mutate}>

projects/app/src/components/ChatBox/MessageInput.tsx

@@ -216,7 +216,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
           pl={5}
           alignItems={'center'}
           bg={'white'}
-          color={'blue.500'}
+          color={'primary.500'}
           visibility={isSpeaking && isTransCription ? 'visible' : 'hidden'}
         >
           <Spinner size={'sm'} mr={4} />
@@ -244,7 +244,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
                   alignItems={'center'}
                   justifyContent={'center'}
                   rounded={'md'}
-                  color={'blue.500'}
+                  color={'primary.500'}
                   top={0}
                   left={0}
                   bottom={0}
@@ -260,7 +260,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
                 h={'16px'}
                 color={'myGray.700'}
                 cursor={'pointer'}
-                _hover={{ color: 'blue.500' }}
+                _hover={{ color: 'primary.500' }}
                 position={'absolute'}
                 bg={'white'}
                 right={'-8px'}
@@ -396,7 +396,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
                       name={isSpeaking ? 'core/chat/stopSpeechFill' : 'core/chat/recordFill'}
                       width={['20px', '22px']}
                       height={['20px', '22px']}
-                      color={'blue.500'}
+                      color={'primary.500'}
                     />
                   </MyTooltip>
                 </Flex>
@@ -415,7 +415,7 @@ ${images.map((img) => JSON.stringify({ src: img.src })).join('\n')}
                 h={['28px', '32px']}
                 w={['28px', '32px']}
                 borderRadius={'md'}
-                bg={isSpeaking || isChatting ? '' : !havInput ? '#E5E5E5' : 'blue.500'}
+                bg={isSpeaking || isChatting ? '' : !havInput ? '#E5E5E5' : 'primary.500'}
                 cursor={havInput ? 'pointer' : 'not-allowed'}
                 lineHeight={1}
                 onClick={() => {

projects/app/src/components/ChatBox/QuoteModal.tsx

@@ -26,6 +26,43 @@ const QuoteModal = ({
   isShare: boolean;
 }) => {
   const { t } = useTranslation();
+
+  return (
+    <>
+      <MyModal
+        isOpen={true}
+        onClose={onClose}
+        h={['90vh', '80vh']}
+        isCentered
+        minW={['90vw', '600px']}
+        iconSrc="/imgs/modal/quote.svg"
+        title={
+          <Box>
+            {t('core.chat.Quote Amount', { amount: rawSearch.length })}
+            <Box fontSize={'sm'} color={'myGray.500'} fontWeight={'normal'}>
+              {t('core.chat.quote.Quote Tip')}
+            </Box>
+          </Box>
+        }
+      >
+        <ModalBody whiteSpace={'pre-wrap'} textAlign={'justify'} wordBreak={'break-all'}>
+          <QuoteList rawSearch={rawSearch} isShare={isShare} />
+        </ModalBody>
+      </MyModal>
+    </>
+  );
+};
+
+export default QuoteModal;
+
+export const QuoteList = React.memo(function QuoteList({
+  rawSearch = [],
+  isShare
+}: {
+  rawSearch: SearchDataResponseItemType[];
+  isShare: boolean;
+}) {
+  const { t } = useTranslation();
   const { isPc } = useSystemStore();
   const theme = useTheme();
   const { toast } = useToast();
@@ -60,124 +97,104 @@ const QuoteModal = ({
 
   return (
     <>
-      <MyModal
-        isOpen={true}
-        onClose={onClose}
-        h={['90vh', '80vh']}
-        isCentered
-        minW={['90vw', '600px']}
-        iconSrc="/imgs/modal/quote.svg"
-        title={
-          <Box>
-            {t('core.chat.Quote Amount', { amount: rawSearch.length })}
-            <Box fontSize={'sm'} color={'myGray.500'} fontWeight={'normal'}>
-              {t('core.chat.quote.Quote Tip')}
-            </Box>
-          </Box>
-        }
-      >
-        <ModalBody whiteSpace={'pre-wrap'} textAlign={'justify'} wordBreak={'break-all'}>
-          {rawSearch.map((item, i) => (
-            <Box
-              key={i}
-              flex={'1 0 0'}
-              p={2}
-              borderRadius={'lg'}
-              border={theme.borders.base}
-              _notLast={{ mb: 2 }}
-              position={'relative'}
-              overflow={'hidden'}
-              _hover={{ '& .hover-data': { display: 'flex' } }}
-              bg={i % 2 === 0 ? 'white' : 'myWhite.500'}
-            >
-              <Flex alignItems={'flex-end'} mb={3} fontSize={'sm'}>
-                <RawSourceText
-                  fontWeight={'bold'}
-                  color={'black'}
-                  sourceName={item.sourceName}
-                  sourceId={item.sourceId}
-                  canView={!isShare}
-                />
-                <Box flex={1} />
-                {!isShare && (
-                  <Link
-                    as={NextLink}
-                    className="hover-data"
-                    display={'none'}
-                    alignItems={'center'}
-                    color={'blue.500'}
-                    href={`/dataset/detail?datasetId=${item.datasetId}&currentTab=dataCard&collectionId=${item.collectionId}`}
-                  >
-                    {t('core.dataset.Go Dataset')}
-                    <MyIcon name={'common/rightArrowLight'} w={'10px'} />
-                  </Link>
-                )}
-              </Flex>
+      {rawSearch.map((item, i) => (
+        <Box
+          key={i}
+          flex={'1 0 0'}
+          p={2}
+          borderRadius={'lg'}
+          border={theme.borders.base}
+          _notLast={{ mb: 2 }}
+          position={'relative'}
+          overflow={'hidden'}
+          _hover={{ '& .hover-data': { display: 'flex' } }}
+          bg={i % 2 === 0 ? 'white' : 'myWhite.500'}
+        >
+          <Flex alignItems={'flex-end'} mb={3} fontSize={'sm'}>
+            <RawSourceText
+              fontWeight={'bold'}
+              color={'black'}
+              sourceName={item.sourceName}
+              sourceId={item.sourceId}
+              canView={!isShare}
+            />
+            <Box flex={1} />
+            {!isShare && (
+              <Link
+                as={NextLink}
+                className="hover-data"
+                display={'none'}
+                alignItems={'center'}
+                color={'primary.500'}
+                href={`/dataset/detail?datasetId=${item.datasetId}&currentTab=dataCard&collectionId=${item.collectionId}`}
+              >
+                {t('core.dataset.Go Dataset')}
+                <MyIcon name={'common/rightArrowLight'} w={'10px'} />
+              </Link>
+            )}
+          </Flex>
 
-              <Box color={'black'}>{item.q}</Box>
-              <Box color={'myGray.600'}>{item.a}</Box>
-              {!isShare && (
-                <Flex alignItems={'center'} fontSize={'sm'} mt={3} gap={4} color={'myGray.500'}>
-                  {isPc && (
-                    <MyTooltip label={t('core.dataset.data.id')}>
-                      <Flex border={theme.borders.base} py={'1px'} px={3} borderRadius={'3px'}>
-                        # {item.id}
-                      </Flex>
-                    </MyTooltip>
-                  )}
-                  <MyTooltip label={t('core.dataset.Quote Length')}>
-                    <Flex alignItems={'center'}>
-                      <MyIcon name="common/text/t" w={'14px'} mr={1} color={'myGray.500'} />
-                      {item.q.length + (item.a?.length || 0)}
-                    </Flex>
-                  </MyTooltip>
-                  {!isShare && item.score && (
-                    <MyTooltip label={t('core.dataset.Similarity')}>
-                      <Flex alignItems={'center'}>
-                        <MyIcon name={'kbTest'} w={'12px'} />
-                        <Progress
-                          mx={2}
-                          w={['60px', '90px']}
-                          value={item.score * 100}
-                          size="sm"
-                          borderRadius={'20px'}
-                          colorScheme="myGray"
-                          border={theme.borders.base}
-                        />
-                        <Box>{item.score.toFixed(4)}</Box>
-                      </Flex>
-                    </MyTooltip>
-                  )}
-                  <Box flex={1} />
-                  {item.id && (
-                    <MyTooltip label={t('core.dataset.data.Edit')}>
-                      <Box
-                        bg={'rgba(255,255,255,0.9)'}
-                        alignItems={'center'}
-                        justifyContent={'center'}
-                        boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
-                      >
-                        <MyIcon
-                          name={'edit'}
-                          w={['16px', '18px']}
-                          h={['16px', '18px']}
-                          cursor={'pointer'}
-                          color={'myGray.600'}
-                          _hover={{
-                            color: 'blue.600'
-                          }}
-                          onClick={() => onclickEdit(item)}
-                        />
-                      </Box>
-                    </MyTooltip>
-                  )}
-                </Flex>
+          <Box color={'black'}>{item.q}</Box>
+          <Box color={'myGray.600'}>{item.a}</Box>
+          {!isShare && (
+            <Flex alignItems={'center'} fontSize={'sm'} mt={3} gap={4} color={'myGray.500'}>
+              {isPc && (
+                <MyTooltip label={t('core.dataset.data.id')}>
+                  <Flex border={theme.borders.base} py={'1px'} px={3} borderRadius={'3px'}>
+                    # {item.id}
+                  </Flex>
+                </MyTooltip>
               )}
-            </Box>
-          ))}
-        </ModalBody>
-        <Loading fixed={false} />
-      </MyModal>
+              <MyTooltip label={t('core.dataset.Quote Length')}>
+                <Flex alignItems={'center'}>
+                  <MyIcon name="common/text/t" w={'14px'} mr={1} color={'myGray.500'} />
+                  {item.q.length + (item.a?.length || 0)}
+                </Flex>
+              </MyTooltip>
+              {!isShare && item.score && (
+                <MyTooltip label={t('core.dataset.Similarity')}>
+                  <Flex alignItems={'center'}>
+                    <MyIcon name={'kbTest'} w={'12px'} />
+                    <Progress
+                      mx={2}
+                      w={['60px', '90px']}
+                      value={item.score * 100}
+                      size="sm"
+                      borderRadius={'20px'}
+                      colorScheme="myGray"
+                      border={theme.borders.base}
+                    />
+                    <Box>{item.score.toFixed(4)}</Box>
+                  </Flex>
+                </MyTooltip>
+              )}
+              <Box flex={1} />
+              {item.id && (
+                <MyTooltip label={t('core.dataset.data.Edit')}>
+                  <Box
+                    bg={'rgba(255,255,255,0.9)'}
+                    alignItems={'center'}
+                    justifyContent={'center'}
+                    boxShadow={'-10px 0 10px rgba(255,255,255,1)'}
+                  >
+                    <MyIcon
+                      name={'edit'}
+                      w={['16px', '18px']}
+                      h={['16px', '18px']}
+                      cursor={'pointer'}
+                      color={'myGray.600'}
+                      _hover={{
+                        color: 'primary.600'
+                      }}
+                      onClick={() => onclickEdit(item)}
+                    />
+                  </Box>
+                </MyTooltip>
+              )}
+            </Flex>
+          )}
+        </Box>
+      ))}
       {editInputData && editInputData.id && (
         <InputDataModal
           onClose={() => setEditInputData(undefined)}
@@ -191,8 +208,7 @@ const QuoteModal = ({
           collectionId={editInputData.collectionId}
         />
       )}
+      <Loading fixed={false} />
     </>
   );
-};
-
-export default QuoteModal;
+});

projects/app/src/components/ChatBox/ResponseTags.tsx

@@ -147,7 +147,7 @@ const ResponseTags = ({
                         name="common/routePushLight"
                         w={'14px'}
                         cursor={'pointer'}
-                        _hover={{ color: 'blue.500' }}
+                        _hover={{ color: 'primary.500' }}
                         onClick={async (e) => {
                           e.stopPropagation();
 
@@ -222,7 +222,11 @@ const ResponseTags = ({
           <ContextModal context={contextModalData} onClose={() => setContextModalData(undefined)} />
         )}
         {isOpenWholeModal && (
-          <WholeResponseModal response={responseData} onClose={onCloseWholeModal} />
+          <WholeResponseModal
+            response={responseData}
+            isShare={isShare}
+            onClose={onCloseWholeModal}
+          />
         )}
       </Flex>
     </>

projects/app/src/components/ChatBox/SelectMarkCollection.tsx

@@ -70,7 +70,7 @@ const SelectMarkCollection = ({
                       }}
                       {...(selected
                         ? {
-                            bg: 'blue.200'
+                            bg: 'primary.200'
                           }
                         : {})}
                       onClick={() => {
@@ -132,7 +132,7 @@ const SelectMarkCollection = ({
           CustomFooter={
             <ModalFooter>
               <Button
-                variant={'base'}
+                variant={'whiteBase'}
                 mr={2}
                 onClick={() => {
                   setAdminMarkData({

projects/app/src/components/ChatBox/WholeResponseModal.tsx

@@ -3,13 +3,14 @@ import { Box, useTheme, Flex, Image } from '@chakra-ui/react';
 import type { ChatHistoryItemResType } from '@fastgpt/global/core/chat/type.d';
 import { useTranslation } from 'next-i18next';
 import { moduleTemplatesFlat } from '@/web/core/modules/template/system';
-import Tabs from '../Tabs';
 
+import Tabs from '../Tabs';
 import MyModal from '../MyModal';
 import MyTooltip from '../MyTooltip';
 import { QuestionOutlineIcon } from '@chakra-ui/icons';
 import { formatPrice } from '@fastgpt/global/support/wallet/bill/tools';
 import Markdown from '../Markdown';
+import { QuoteList } from './QuoteModal';
 import { DatasetSearchModeMap } from '@fastgpt/global/core/dataset/constant';
 
 function Row({
@@ -37,7 +38,9 @@ function Row({
         fontSize={'sm'}
         {...(isCodeBlock
           ? { transform: 'translateY(-3px)' }
-          : { px: 3, py: 1, border: theme.borders.base })}
+          : value
+          ? { px: 3, py: 1, border: theme.borders.base }
+          : {})}
       >
         {value && <Markdown source={strValue} />}
         {rawDom}
@@ -48,13 +51,51 @@ function Row({
 
 const WholeResponseModal = ({
   response,
+  isShare,
   onClose
 }: {
   response: ChatHistoryItemResType[];
+  isShare: boolean;
   onClose: () => void;
 }) => {
   const { t } = useTranslation();
 
+  return (
+    <MyModal
+      isCentered
+      isOpen={true}
+      onClose={onClose}
+      h={['90vh', '80vh']}
+      minW={['90vw', '600px']}
+      iconSrc="/imgs/modal/wholeRecord.svg"
+      title={
+        <Flex alignItems={'center'}>
+          {t('chat.Complete Response')}
+          <MyTooltip label={'从左往右，为各个模块的响应顺序'}>
+            <QuestionOutlineIcon ml={2} />
+          </MyTooltip>
+        </Flex>
+      }
+    >
+      <Flex h={'100%'} flexDirection={'column'}>
+        <ResponseBox response={response} isShare={isShare} />
+      </Flex>
+    </MyModal>
+  );
+};
+
+export default WholeResponseModal;
+
+const ResponseBox = React.memo(function ResponseBox({
+  response,
+  isShare
+}: {
+  response: ChatHistoryItemResType[];
+  isShare: boolean;
+}) {
+  const theme = useTheme();
+  const { t } = useTranslation();
+
   const list = useMemo(
     () =>
       response.map((item, i) => ({
@@ -83,145 +124,129 @@ const WholeResponseModal = ({
   const activeModule = useMemo(() => response[Number(currentTab)], [currentTab, response]);
 
   return (
-    <MyModal
-      isCentered
-      isOpen={true}
-      onClose={onClose}
-      h={['90vh', '80vh']}
-      w={['90vw', '500px']}
-      iconSrc="/imgs/modal/wholeRecord.svg"
-      title={
-        <Flex alignItems={'center'}>
-          {t('chat.Complete Response')}
-          <MyTooltip label={'从左往右，为各个模块的响应顺序'}>
-            <QuestionOutlineIcon ml={2} />
-          </MyTooltip>
-        </Flex>
-      }
-    >
-      <Flex h={'100%'} flexDirection={'column'}>
-        <Box>
-          <Tabs list={list} activeId={currentTab} onChange={setCurrentTab} />
-        </Box>
-        <Box py={2} px={4} flex={'1 0 0'} overflow={'auto'}>
-          <Row label={t('core.chat.response.module name')} value={t(activeModule.moduleName)} />
-          {activeModule?.price !== undefined && (
-            <Row
-              label={t('core.chat.response.module price')}
-              value={`￥${formatPrice(activeModule?.price)}`}
-            />
-          )}
+    <>
+      <Box>
+        <Tabs list={list} activeId={currentTab} onChange={setCurrentTab} />
+      </Box>
+      <Box py={2} px={4} flex={'1 0 0'} overflow={'auto'}>
+        <Row label={t('core.chat.response.module name')} value={t(activeModule.moduleName)} />
+        {activeModule?.price !== undefined && (
           <Row
-            label={t('core.chat.response.module time')}
-            value={`${activeModule?.runningTime || 0}s`}
+            label={t('core.chat.response.module price')}
+            value={`￥${formatPrice(activeModule?.price)}`}
           />
-          <Row label={t('core.chat.response.module tokens')} value={`${activeModule?.tokens}`} />
-          <Row label={t('core.chat.response.module model')} value={activeModule?.model} />
-          <Row label={t('core.chat.response.module query')} value={activeModule?.query} />
+        )}
+        <Row
+          label={t('core.chat.response.module time')}
+          value={`${activeModule?.runningTime || 0}s`}
+        />
+        <Row label={t('core.chat.response.module tokens')} value={`${activeModule?.tokens}`} />
+        <Row label={t('core.chat.response.module model')} value={activeModule?.model} />
+        <Row label={t('core.chat.response.module query')} value={activeModule?.query} />
+        <Row
+          label={t('core.chat.response.context total length')}
+          value={activeModule?.contextTotalLen}
+        />
+
+        {/* ai chat */}
+        <Row label={t('core.chat.response.module temperature')} value={activeModule?.temperature} />
+        <Row label={t('core.chat.response.module maxToken')} value={activeModule?.maxToken} />
+        <Row
+          label={t('core.chat.response.module historyPreview')}
+          rawDom={
+            activeModule.historyPreview ? (
+              <Box px={3} py={2} border={theme.borders.base} borderRadius={'md'}>
+                {activeModule.historyPreview?.map((item, i) => (
+                  <Box
+                    key={i}
+                    _notLast={{
+                      borderBottom: '1px solid',
+                      borderBottomColor: 'myWhite.700',
+                      mb: 2
+                    }}
+                    pb={2}
+                  >
+                    <Box fontWeight={'bold'}>{item.obj}</Box>
+                    <Box whiteSpace={'pre-wrap'}>{item.value}</Box>
+                  </Box>
+                ))}
+              </Box>
+            ) : (
+              ''
+            )
+          }
+        />
+        {activeModule.quoteList && activeModule.quoteList.length > 0 && (
           <Row
-            label={t('core.chat.response.context total length')}
-            value={activeModule?.contextTotalLen}
+            label={t('core.chat.response.module quoteList')}
+            rawDom={<QuoteList isShare={isShare} rawSearch={activeModule.quoteList} />}
           />
+        )}
 
-          {/* ai chat */}
+        {/* dataset search */}
+        {activeModule?.searchMode && (
           <Row
-            label={t('core.chat.response.module temperature')}
-            value={activeModule?.temperature}
+            label={t('core.dataset.search.search mode')}
+            // @ts-ignore
+            value={t(DatasetSearchModeMap[activeModule.searchMode]?.title)}
           />
-          <Row label={t('core.chat.response.module maxToken')} value={activeModule?.maxToken} />
+        )}
+        <Row label={t('core.chat.response.module similarity')} value={activeModule?.similarity} />
+        <Row label={t('core.chat.response.module limit')} value={activeModule?.limit} />
+
+        {/* classify question */}
+        <Row
+          label={t('core.chat.response.module cq')}
+          value={(() => {
+            if (!activeModule?.cqList) return '';
+            return activeModule.cqList.map((item) => `* ${item.value}`).join('\n');
+          })()}
+        />
+        <Row label={t('core.chat.response.module cq result')} value={activeModule?.cqResult} />
+
+        {/* extract */}
+        <Row
+          label={t('core.chat.response.module extract description')}
+          value={activeModule?.extractDescription}
+        />
+        {activeModule?.extractResult && (
           <Row
-            label={t('core.chat.response.module historyPreview')}
-            rawDom={
-              activeModule.historyPreview ? (
-                <>
-                  {activeModule.historyPreview?.map((item, i) => (
-                    <Box
-                      key={i}
-                      _notLast={{
-                        borderBottom: '1px solid',
-                        borderBottomColor: 'myWhite.700',
-                        mb: 2
-                      }}
-                      pb={2}
-                    >
-                      <Box fontWeight={'bold'}>{item.obj}</Box>
-                      <Box whiteSpace={'pre-wrap'}>{item.value}</Box>
-                    </Box>
-                  ))}
-                </>
-              ) : (
-                ''
-              )
-            }
+            label={t('core.chat.response.module extract result')}
+            value={`~~~json\n${JSON.stringify(activeModule?.extractResult, null, 2)}`}
           />
-          {activeModule.quoteList && activeModule.quoteList.length > 0 && (
-            <Row
-              label={t('core.chat.response.module quoteList')}
-              value={`~~~json\n${JSON.stringify(activeModule.quoteList, null, 2)}`}
-            />
-          )}
+        )}
 
-          {/* dataset search */}
-          {activeModule?.searchMode && (
-            <Row
-              label={t('core.dataset.search.search mode')}
-              // @ts-ignore
-              value={t(DatasetSearchModeMap[activeModule.searchMode]?.title)}
-            />
-          )}
-          <Row label={t('core.chat.response.module similarity')} value={activeModule?.similarity} />
-          <Row label={t('core.chat.response.module limit')} value={activeModule?.limit} />
-
-          {/* classify question */}
+        {/* http */}
+        {activeModule?.body && (
           <Row
-            label={t('core.chat.response.module cq')}
-            value={(() => {
-              if (!activeModule?.cqList) return '';
-              return activeModule.cqList.map((item) => `* ${item.value}`).join('\n');
-            })()}
+            label={t('core.chat.response.module http body')}
+            value={`~~~json\n${JSON.stringify(activeModule?.body, null, 2)}`}
           />
-          <Row label={t('core.chat.response.module cq result')} value={activeModule?.cqResult} />
-
-          {/* extract */}
+        )}
+        {activeModule?.httpResult && (
           <Row
-            label={t('core.chat.response.module extract description')}
-            value={activeModule?.extractDescription}
+            label={t('core.chat.response.module http result')}
+            value={`~~~json\n${JSON.stringify(activeModule?.httpResult, null, 2)}`}
           />
-          {activeModule?.extractResult && (
-            <Row
-              label={t('core.chat.response.module extract result')}
-              value={`~~~json\n${JSON.stringify(activeModule?.extractResult, null, 2)}`}
-            />
-          )}
+        )}
 
-          {/* http */}
-          {activeModule?.body && (
-            <Row
-              label={t('core.chat.response.module http body')}
-              value={`~~~json\n${JSON.stringify(activeModule?.body, null, 2)}`}
-            />
-          )}
-          {activeModule?.httpResult && (
-            <Row
-              label={t('core.chat.response.module http result')}
-              value={`~~~json\n${JSON.stringify(activeModule?.httpResult, null, 2)}`}
-            />
-          )}
+        {/* plugin */}
+        {activeModule?.pluginDetail && activeModule?.pluginDetail.length > 0 && (
+          <Row
+            label={t('core.chat.response.Plugin Resonse Detail')}
+            rawDom={<ResponseBox response={activeModule.pluginDetail} isShare={isShare} />}
+          />
+        )}
+        {activeModule?.pluginOutput && (
+          <Row
+            label={t('core.chat.response.plugin output')}
+            value={`~~~json\n${JSON.stringify(activeModule?.pluginOutput, null, 2)}`}
+          />
+        )}
 
-          {/* plugin */}
-          {activeModule?.pluginOutput && (
-            <Row
-              label={t('core.chat.response.plugin output')}
-              value={`~~~json\n${JSON.stringify(activeModule?.pluginOutput, null, 2)}`}
-            />
-          )}
-
-          {/* text editor */}
-          <Row label={t('core.chat.response.text output')} value={activeModule?.textOutput} />
-        </Box>
-      </Flex>
-    </MyModal>
+        {/* text output */}
+        <Row label={t('core.chat.response.text output')} value={activeModule?.textOutput} />
+      </Box>
+    </>
   );
-};
-
-export default WholeResponseModal;
+});

projects/app/src/components/ChatBox/index.tsx

@@ -349,7 +349,13 @@ const ChatBox = (
           responseText,
           isNewChat = false
         } = await onStartChat({
-          chatList: newChatList,
+          chatList: newChatList.map((item) => ({
+            dataId: item.dataId,
+            obj: item.obj,
+            value: item.value,
+            status: item.status,
+            moduleName: item.moduleName
+          })),
           messages,
           controller: abortSignal,
           generatingMessage,
@@ -386,7 +392,7 @@ const ChatBox = (
         }, 100);
       } catch (err: any) {
         toast({
-          title: getErrText(err, '聊天出错了~'),
+          title: t(getErrText(err, 'core.chat.error.Chat error')),
           status: 'error',
           duration: 5000,
           isClosable: true
@@ -419,7 +425,8 @@ const ChatBox = (
       generatingMessage,
       createQuestionGuide,
       generatingScroll,
-      isPc
+      isPc,
+      t
     ]
   );
 
@@ -498,7 +505,7 @@ const ChatBox = (
     const colorMap = {
       loading: 'myGray.700',
       running: '#67c13b',
-      finish: 'blue.500'
+      finish: 'primary.500'
     };
     if (!isChatting) return;
     const chatContent = chatHistory[chatHistory.length - 1];
@@ -666,7 +673,7 @@ const ChatBox = (
                       <Card
                         className="markdown"
                         {...MessageCardStyle}
-                        bg={'blue.200'}
+                        bg={'primary.200'}
                         borderRadius={'8px 0 8px 8px'}
                         textAlign={'left'}
                       >
@@ -1138,7 +1145,7 @@ function ChatAvatar({ src, type }: { src?: string; type: 'Human' | 'AI' }) {
       borderRadius={'lg'}
       border={theme.borders.base}
       boxShadow={'0 0 5px rgba(0,0,0,0.1)'}
-      bg={type === 'Human' ? 'white' : 'blue.50'}
+      bg={type === 'Human' ? 'white' : 'primary.50'}
     >
       <Avatar src={src} w={'100%'} h={'100%'} />
     </Box>
@@ -1219,7 +1226,7 @@ function ChatController({
         <MyIcon
           {...controlIconStyle}
           name={'copy'}
-          _hover={{ color: 'blue.600' }}
+          _hover={{ color: 'primary.600' }}
           onClick={() => copyData(chat.value)}
         />
       </MyTooltip>

projects/app/src/components/CommunityModal/index.tsx

@@ -19,7 +19,7 @@ const CommunityModal = ({ onClose }: { onClose: () => void }) => {
       </ModalBody>
 
       <ModalFooter>
-        <Button variant={'base'} onClick={onClose}>
+        <Button variant={'whiteBase'} onClick={onClose}>
           关闭
         </Button>
       </ModalFooter>

projects/app/src/components/Layout/index.tsx

@@ -39,7 +39,7 @@ const Layout = ({ children }: { children: JSX.Element }) => {
   const router = useRouter();
   const { colorMode, setColorMode } = useColorMode();
   const { Loading } = useLoading();
-  const { loading, setScreenWidth, isPc, loadGitStar } = useSystemStore();
+  const { loading, setScreenWidth, isPc } = useSystemStore();
   const { userInfo } = useUserStore();
 
   const isChatPage = useMemo(
@@ -61,12 +61,11 @@ const Layout = ({ children }: { children: JSX.Element }) => {
     window.addEventListener('resize', resize);
 
     resize();
-    loadGitStar();
 
     return () => {
       window.removeEventListener('resize', resize);
     };
-  }, [loadGitStar, setScreenWidth]);
+  }, [setScreenWidth]);
 
   const { data: unread = 0 } = useQuery(['getUnreadCount'], getUnreadCount, {
     enabled: !!userInfo && !!feConfigs.isPlus,
@@ -75,14 +74,14 @@ const Layout = ({ children }: { children: JSX.Element }) => {
 
   return (
     <>
-      <Box h={'100%'} bg={'myWhite.600'}>
+      <Box h={'100%'} bg={'myGray.100'}>
         {isPc === true && (
           <>
             {pcUnShowLayoutRoute[router.pathname] ? (
               <Auth>{children}</Auth>
             ) : (
               <>
-                <Box h={'100%'} position={'fixed'} left={0} top={0} w={'70px'}>
+                <Box h={'100%'} position={'fixed'} left={0} top={0} w={'64px'}>
                   <Navbar unread={unread} />
                 </Box>
                 <Box h={'100%'} ml={'70px'} overflow={'overlay'}>

projects/app/src/components/Layout/navbar.tsx

@@ -1,5 +1,5 @@
 import React, { useMemo } from 'react';
-import { Box, Flex, Link } from '@chakra-ui/react';
+import { Box, BoxProps, Flex, Link, LinkProps } from '@chakra-ui/react';
 import { useRouter } from 'next/router';
 import { useUserStore } from '@/web/support/user/useUserStore';
 import { useChatStore } from '@/web/core/chat/storeChat';
@@ -77,19 +77,16 @@ const Navbar = ({ unread }: { unread: number }) => {
     [lastChatAppId, lastChatId, t]
   );
 
-  const itemStyles: any = {
+  const itemStyles: BoxProps & LinkProps = {
     my: 3,
     display: 'flex',
     flexDirection: 'column',
     alignItems: 'center',
     justifyContent: 'center',
     cursor: 'pointer',
-    w: '54px',
-    h: '54px',
-    borderRadius: 'md',
-    _hover: {
-      bg: 'myWhite.600'
-    }
+    w: '48px',
+    h: '58px',
+    borderRadius: 'md'
   };
 
   return (
@@ -97,10 +94,8 @@ const Navbar = ({ unread }: { unread: number }) => {
       flexDirection={'column'}
       alignItems={'center'}
       pt={6}
-      bg={'white'}
       h={'100%'}
       w={'100%'}
-      boxShadow={'2px 0px 8px 0px rgba(0,0,0,0.1)'}
       userSelect={'none'}
     >
       {/* logo */}
@@ -113,13 +108,7 @@ const Navbar = ({ unread }: { unread: number }) => {
         cursor={'pointer'}
         onClick={() => router.push('/account')}
       >
-        <Avatar
-          w={'36px'}
-          h={'36px'}
-          borderRadius={'50%'}
-          src={userInfo?.avatar}
-          fallbackSrc={HUMAN_ICON}
-        />
+        <Avatar w={'36px'} h={'36px'} src={userInfo?.avatar} fallbackSrc={HUMAN_ICON} />
       </Box>
       {/* 导航列表 */}
       <Box flex={1}>
@@ -129,13 +118,17 @@ const Navbar = ({ unread }: { unread: number }) => {
             {...itemStyles}
             {...(item.activeLink.includes(router.pathname)
               ? {
-                  color: 'blue.600',
-                  bg: 'white !important',
-                  boxShadow: '1px 1px 10px rgba(0,0,0,0.2)'
+                  color: 'primary.600',
+                  bg: 'white',
+                  boxShadow:
+                    '0px 0px 1px 0px rgba(19, 51, 107, 0.08), 0px 4px 4px 0px rgba(19, 51, 107, 0.05)'
                 }
               : {
                   color: 'myGray.500',
-                  backgroundColor: 'transparent'
+                  bg: 'transparent',
+                  _hover: {
+                    bg: 'rgba(255,255,255,0.9)'
+                  }
                 })}
             {...(item.link !== router.asPath
               ? {

projects/app/src/components/Loading/index.tsx

@@ -25,9 +25,15 @@ const Loading = ({
       justifyContent={'center'}
       flexDirection={'column'}
     >
-      <Spinner thickness="4px" speed="0.65s" emptyColor="myGray.100" color="blue.500" size="xl" />
+      <Spinner
+        thickness="4px"
+        speed="0.65s"
+        emptyColor="myGray.100"
+        color="primary.500"
+        size="xl"
+      />
       {text && (
-        <Box mt={2} color="blue.600" fontWeight={'bold'}>
+        <Box mt={2} color="primary.600" fontWeight={'bold'}>
           {text}
         </Box>
       )}

projects/app/src/components/Markdown/chat/Guide.tsx

@@ -23,7 +23,7 @@ function MyLink(e: any) {
     <Box as={'li'} mb={1}>
       <Box
         as={'span'}
-        color={'blue.700'}
+        color={'primary.700'}
         textDecoration={'underline'}
         cursor={'pointer'}
         onClick={() => {