docs

联网功能

.env.template

@@ -1,8 +1,6 @@
 # proxy
 # AXIOS_PROXY_HOST=127.0.0.1
 # AXIOS_PROXY_PORT=7890
-# OPENAI_BASE_URL=https://api.openai.com/v1
-# OPENAI_BASE_URL_AUTH=可选的安全凭证
 # 是否开启队列任务。 1-开启，0-关闭（请求parentUrl去执行任务,单机时直接填1）
 queueTask=1
 parentUrl=https://hostname/api/openapi/startEvents
@@ -16,8 +14,18 @@ aliSignName=xxx
 aliTemplateCode=SMS_xxx
 # token
 TOKEN_KEY=xxx
+# root key, 最高权限
+ROOT_KEY=xxx
+# 是否进行安全校验(1: 开启，0: 关闭)
+SENSITIVE_CHECK=1
 # openai
+# OPENAI_BASE_URL=https://api.openai.com/v1
+# OPENAI_BASE_URL_AUTH=可选的安全凭证(不需要的时候，记得去掉)
 OPENAIKEY=sk-xxx
+GPT4KEY=sk-xxx
+# claude
+CLAUDE_BASE_URL=calude模型请求地址
+CLAUDE_KEY=CLAUDE_KEY
 # db
 MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
 PG_HOST=0.0.0.0

.github/workflows/release.yml

@@ -37,12 +37,12 @@ jobs:
       - name: build and publish image
         env:
           # fork friendly ^^
-          DOCKER_REPO: ghcr.io/${{ github.repository_owner }}/fast-gpt
+          DOCKER_REPO: ghcr.io/${{ github.repository_owner }}/fastgpt
         run: |
           docker buildx build \
           --platform linux/amd64,linux/arm64 \
           --label "org.opencontainers.image.source=https://github.com/${{ github.repository_owner }}/FastGPT" \
-          --label "org.opencontainers.image.description=fast-gpt image" \
+          --label "org.opencontainers.image.description=fastgpt image" \
           --label "org.opencontainers.image.licenses=MIT" \
           --push \
           -t ${DOCKER_REPO}:latest \

Dockerfile

@@ -52,6 +52,8 @@ COPY --from=builder --chown=nextjs:nodejs /app/.next/static ./.next/static
 
 USER nextjs
 
+ENV PORT=3000
+
 EXPOSE 3000
 
 CMD ["node", "server.js"]

LICENSE

@@ -0,0 +1,201 @@
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Makefile

@@ -1,4 +1,4 @@
-SERVICE_NAME=fast-gpt
+SERVICE_NAME=fastgpt
 # Image URL to use all building/pushing image targets
 IMG ?= $(SERVICE_NAME):latest
 
@@ -34,13 +34,13 @@ run: ## Run a dev service from host.
 
 .PHONY: docker-build
 docker-build: ## Build docker image with the desktop-frontend.
-	docker build -t c121914yu/fast-gpt:latest . --network host  --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
+	docker build -t registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest . --network host  --build-arg HTTP_PROXY=http://127.0.0.1:7890 --build-arg HTTPS_PROXY=http://127.0.0.1:7890
 
 ##@ Deployment
 
 .PHONY: docker-run
 docker-run:  ## Push docker image.
-	docker run -d -p 8008:3000 --name fast-gpt -v /web_project/yjl/fast-gpt/logs:/app/.next/logs c121914yu/fast-gpt:latest
+	docker run -d -p 8008:3000 --name fastgpt -v /web_project/yjl/fastgpt/logs:/app/.next/logs registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest
 
 #TODO: add support of docker push
 

README.md

@@ -2,282 +2,45 @@
 
 Fast GPT 允许你使用自己的 openai API KEY 来快速的调用 openai 接口，目前集成了 gpt35 和 embedding. 可构建自己的知识库。
 
-## 知识库原理
+## 🛸 在线体验
+
+🎉 [fastgpt.run](https://fastgpt.run/) （国内版）  
+🎉 [ai.fastgpt.run](https://ai.fastgpt.run/) （海外版）
+
+![Demo](docs/imgs/demo.png?raw=true 'demo')
+
+#### 知识库原理图
 
 ![KBProcess](docs/imgs/KBProcess.jpg?raw=true 'KBProcess')
 
-## 开发
+## 👨‍💻 开发
 
-**配置环境变量**
-复制.env.template 文件，生成一个.env.local 环境变量文件夹，修改.env.local 内容，参考下方：
+项目技术栈: NextJs + TS + ChakraUI + Mongo + Postgres（Vector 插件）  
+这是一个平台项目，非单机项目，除了模型调用外还涉及非常多用户的内容。  
+[本地开发 Quick Start](docs/dev/README.md)
 
-```bash
-# proxy（可选）
-AXIOS_PROXY_HOST=127.0.0.1
-AXIOS_PROXY_PORT=7890
-# openai 中转连接（可选）
-OPENAI_BASE_URL=https://api.openai.com/v1
-OPENAI_BASE_URL_AUTH=可选的安全凭证
-# 是否开启队列任务。 1-开启，0-关闭（请求 parentUrl 去执行任务,单机时直接填1）
-queueTask=1
-parentUrl=https://hostname/api/openapi/startEvents
-# 发送邮箱验证码配置。参考 nodeMail 获取参数，自行百度。
-MY_MAIL=xxx@qq.com
-MAILE_CODE=xxx
-# 阿里短信服务（邮箱和短信至少二选一）
-aliAccessKeyId=xxx
-aliAccessKeySecret=xxx
-aliSignName=xxx
-aliTemplateCode=SMS_xxx
-# token（随便填，作为登录凭证）
-TOKEN_KEY=xxx
-# openai key
-OPENAIKEY=sk-xxx
-# mongo连接地址
-MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
-# mongo数据库名称
-MONGODB_NAME=xxx
-# pg 数据库相关内容，和 docker-compose pg 部分对上
-PG_HOST=0.0.0.0
-PG_PORT=8102
-PG_USER=fastgpt
-PG_PASSWORD=1234
-PG_DB_NAME=fastgpt
-```
+## 🚀 私有化部署
 
-**运行**
+- [docker-compose 部署教程](docs/deploy/docker.md)
+- [由社区贡献的宝塔部署和本地运行教程](https://space.bilibili.com/431177525/channel/collectiondetail?sid=1370663)
 
-```
-pnpm dev
-```
+## :point_right: RoadMap
 
-## 部署
+- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
 
-### 代理环境（国外服务器可忽略）
+## 🏘️ 交流群
 
-1. [clash 方案](./docs/proxy/clash.md) - 仅需一台服务器（需要有 clash）
-2. [nginx 方案](./docs/proxy/nginx.md) - 需要一台国外服务器
-3. [cloudflare 方案](./docs/proxy/cloudflare.md) - 需要有域名（每日免费 10w 次代理请求）
+添加 wx 进入：  
+![Demo](https://otnvvf-imgs.oss.laf.run/wx300.jpg)
 
-### docker 部署
+## 👀 其他
 
-#### 1. 安装 docker 和 docker-compose
+- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+- [公众号接入](https://www.bilibili.com/video/BV1xh4y1t7fy/)
+- [FastGpt + Laf 最佳实践，将知识库装入公众号，点击去 Laf 公众号体验效果](https://b4jky7-fastgpt.oss.laf.run/lafercode.png)
+- [FastGpt V3.4 更新集合](https://www.bilibili.com/video/BV1Lo4y147Qh/?vd_source=92041a1a395f852f9d89158eaa3f61b4)
+- [FastGpt 知识库演示](https://www.bilibili.com/video/BV1Wo4y1p7i1/)
 
-这个不同系统略有区别，百度安装下。验证安装成功后进行下一步。下面给出一个例子：
+## 🌟 Star History
 
-```bash
-# 安装docker
-curl -L https://get.daocloud.io/docker | sh
-sudo systemctl start docker
-# 安装 docker-compose
-curl -L https://github.com/docker/compose/releases/download/1.23.2/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
-sudo chmod +x /usr/local/bin/docker-compose
-# 验证安装
-docker -v
-docker-compose -v
-```
-
-#### 2. 创建 3 个初始化文件
-
-手动创建或者直接把 deploy 里内容复制过去
-
-**/root/fast-gpt/pg/init.sql**
-
-```sql
-set -e
-psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
-
-CREATE EXTENSION vector;
--- init table
-CREATE TABLE modelData (
-    id BIGSERIAL PRIMARY KEY,
-    vector VECTOR(1536),
-    status VARCHAR(50) NOT NULL,
-    user_id VARCHAR(50) NOT NULL,
-    model_id VARCHAR(50) NOT NULL,
-    q TEXT NOT NULL,
-    a TEXT NOT NULL
-);
--- create index
-CREATE INDEX modelData_status_index ON modelData USING HASH (status);
-CREATE INDEX modelData_userId_index ON modelData USING HASH (user_id);
-CREATE INDEX modelData_modelId_index ON modelData USING HASH (model_id);
-EOSQL
-```
-
-**/root/fast-gpt/nginx/nginx.conf**
-
-```conf
-user nginx;
-worker_processes auto;
-worker_rlimit_nofile 51200;
-
-events {
-    worker_connections 1024;
-}
-
-http {
-    resolver 8.8.8.8;
-    proxy_ssl_server_name on;
-
-    access_log off;
-    server_names_hash_bucket_size 512;
-    client_header_buffer_size 64k;
-    large_client_header_buffers 4 64k;
-    client_max_body_size 50M;
-
-    proxy_connect_timeout       240s;
-    proxy_read_timeout          240s;
-    proxy_buffer_size 128k;
-    proxy_buffers 4 256k;
-
-    gzip  on;
-    gzip_min_length   1k;
-    gzip_buffers  4 8k;
-    gzip_http_version 1.1;
-    gzip_comp_level 6;
-    gzip_vary on;
-    gzip_types  text/plain application/x-javascript text/css application/javascript application/json application/xml;
-    gzip_disable "MSIE [1-6]\.";
-
-    open_file_cache max=1000 inactive=1d;
-    open_file_cache_valid 30s;
-    open_file_cache_min_uses 8;
-    open_file_cache_errors off;
-
-    server {
-        listen 443 ssl;
-        server_name docgpt.ahapocket.cn;
-        ssl_certificate /ssl/docgpt.pem;
-        ssl_certificate_key /ssl/docgpt.key;
-        ssl_session_timeout 5m;
-
-        location / {
-            proxy_pass http://localhost:3000;
-            proxy_set_header Host $host;
-            proxy_set_header X-Real-IP $remote_addr;
-            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
-        }
-    }
-    server {
-        listen 80;
-        server_name docgpt.ahapocket.cn;
-        rewrite ^(.*) https://$server_name$1 permanent;
-    }
-}
-```
-
-**/root/fast-gpt/docker-compose.yml**
-
-```yml
-version: '3.3'
-services:
-  fast-gpt:
-    image: c121914yu/fast-gpt:latest
-    network_mode: host
-    restart: always
-    container_name: fast-gpt
-    environment:
-      # - AXIOS_PROXY_HOST=127.0.0.1
-      # - AXIOS_PROXY_PORT=7890
-      # - OPENAI_BASE_URL=https://api.openai.com/v1
-      # - OPENAI_BASE_URL_AUTH=可选的安全凭证
-      - MY_MAIL=xxxx@qq.com
-      - MAILE_CODE=xxxx
-      - aliAccessKeyId=xxxx
-      - aliAccessKeySecret=xxxx
-      - aliSignName=xxxxx
-      - aliTemplateCode=SMS_xxxx
-      - TOKEN_KEY=xxxx
-      - queueTask=1
-      - parentUrl=https://hostname/api/openapi/startEvents
-      - MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
-      - MONGODB_NAME=xxx
-      - PG_HOST=0.0.0.0
-      - PG_PORT=8100
-      - PG_USER=fastgpt
-      - PG_PASSWORD=1234
-      - PG_DB_NAME=fastgpt
-      - OPENAIKEY=sk-xxxxx
-  nginx:
-    image: nginx:alpine3.17
-    container_name: nginx
-    restart: always
-    network_mode: host
-    volumes:
-      - /root/fast-gpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
-      - /root/fast-gpt/nginx/logs:/var/log/nginx
-      - /root/fast-gpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
-      - /root/fast-gpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
-  pg:
-    image: ankane/pgvector
-    container_name: pg
-    restart: always
-    ports:
-      - 8100:5432
-    environment:
-      - POSTGRES_USER=fastgpt
-      - POSTGRES_PASSWORD=1234
-      - POSTGRES_DB=fastgpt
-    volumes:
-      - /root/fast-gpt/pg/data:/var/lib/postgresql/data
-      - /root/fast-gpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
-      - /etc/localtime:/etc/localtime:ro
-  mongodb:
-    image: mongo:6.0.4
-    container_name: mongo
-    restart: always
-    ports:
-      - 27017:27017
-    environment:
-      - MONGO_INITDB_ROOT_USERNAME=username
-      - MONGO_INITDB_ROOT_PASSWORD=password
-    volumes:
-      - /root/fast-gpt/mongo/data:/data/db
-      - /root/fast-gpt/mongo/logs:/var/log/mongodb
-      - /etc/localtime:/etc/localtime:ro
-```
-
-#### 3. 运行 docker-compose
-
-下面是一个辅助脚本，也可以直接 docker-compose up -d
-
-**run.sh 运行文件**
-
-```bash
-#!/bin/bash
-docker-compose pull
-docker-compose up -d
-
-echo "Docker Compose 重新拉取镜像完成！"
-
-# 删除本地旧镜像
-images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fast-gpt)
-
-# 将镜像 ID 和名称放入数组中
-IFS=$'\n' read -rd '' -a image_array <<<"$images"
-
-# 遍历数组并删除所有旧的镜像
-for ((i=1; i<${#image_array[@]}; i++))
-do
-    image=${image_array[$i]}
-    image_id=${image%% *}
-    docker rmi $image_id
-done
-```
-
-## 其他优化点
-
-### Git Action 自动打包镜像
-
-.github 里拥有一个 git 提交到 main 分支时自动打包 amd64 和 arm64 镜像的 actions。你仅需要提前在 git 配置好 session。
-
-1. 创建账号 session: 头像 -> settings -> 最底部 Developer settings -> Personal access tokens -> tokens(classic) -> 创建新 session，把一些看起来需要的权限勾上。
-2. 添加 session 到仓库: 仓库 -> settings -> Secrets and variables -> Actions -> 创建 secret
-3. 填写 secret: Name-GH_PAT, Secret-第一步的 tokens
-
-## 其他问题
-
-### Mac 可能的问题
-
-> 因为教程有部分镜像不兼容 arm64，所以写个文档指导新手如何快速在 mac 上面搭建 fast-gpt[如何在 mac 上面部署 fastgpt](./docs/mac.md)
+[![Star History Chart](https://api.star-history.com/svg?repos=c121914yu/FastGPT&type=Date)](https://star-history.com/#c121914yu/FastGPT&Date)

deploy/docker-compose.yml

@@ -1,66 +0,0 @@
-version: '3.3'
-services:
-  fast-gpt:
-    image: c121914yu/fast-gpt:latest
-    network_mode: host
-    restart: always
-    container_name: fast-gpt
-    environment:
-      # - AXIOS_PROXY_HOST=127.0.0.1
-      # - AXIOS_PROXY_PORT=7890
-      # - OPENAI_BASE_URL=https://api.openai.com/v1
-      # - OPENAI_BASE_URL_AUTH=可选的安全凭证
-      - MY_MAIL=xxxx@qq.com
-      - MAILE_CODE=xxxx
-      - aliAccessKeyId=xxxx
-      - aliAccessKeySecret=xxxx
-      - aliSignName=xxxxx
-      - aliTemplateCode=SMS_xxxx
-      - TOKEN_KEY=xxxx
-      - queueTask=1
-      - parentUrl=https://hostname/api/openapi/startEvents
-      - MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
-      - MONGODB_NAME=xxx
-      - PG_HOST=0.0.0.0
-      - PG_PORT=8100
-      - PG_USER=xxx
-      - PG_PASSWORD=xxx
-      - PG_DB_NAME=xxx
-      - OPENAIKEY=sk-xxxxx
-  nginx:
-    image: nginx:alpine3.17
-    container_name: nginx
-    restart: always
-    network_mode: host
-    volumes:
-      - /root/fast-gpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
-      - /root/fast-gpt/nginx/logs:/var/log/nginx
-      - /root/fast-gpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
-      - /root/fast-gpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
-  pg:
-    image: ankane/pgvector
-    container_name: pg
-    restart: always
-    ports:
-      - 8100:5432
-    environment:
-      - POSTGRES_USER=xxx
-      - POSTGRES_PASSWORD=xxx
-      - POSTGRES_DB=xxx
-    volumes:
-      - /root/fast-gpt/pg/data:/var/lib/postgresql/data
-      - /root/fast-gpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
-      - /etc/localtime:/etc/localtime:ro
-  mongodb:
-    image: mongo:6.0.4
-    container_name: mongo
-    restart: always
-    ports:
-      - 27017:27017
-    environment:
-      - MONGO_INITDB_ROOT_USERNAME=username
-      - MONGO_INITDB_ROOT_PASSWORD=password
-    volumes:
-      - /root/fast-gpt/mongo/data:/data/db
-      - /root/fast-gpt/mongo/logs:/var/log/mongodb
-      - /etc/localtime:/etc/localtime:ro

deploy/docker-compose/init.sh

@@ -1 +0,0 @@
-sudo chmod +x /usr/local/bin/docker-compose

docs/deploy/docker.md

@@ -0,0 +1,84 @@
+# Docker 部署 FastGpt
+
+## 代理环境（国外服务器可忽略）
+
+选择一个即可。这只是代理！！！不是项目。
+
+1. [sealos nginx 方案](./proxy/sealos.md) - 推荐。约等于不用钱，不需要额外准备任何东西。
+2. [clash 方案](./proxy/clash.md) - 仅需一台服务器（需要有 clash）
+3. [nginx 方案](./proxy/nginx.md) - 需要一台国外服务器
+4. [cloudflare 方案](./proxy/cloudflare.md) - 需要有域名（每日免费 10w 次代理请求）
+5. [腾讯云函数代理方案](https://github.com/easychen/openai-api-proxy/blob/master/FUNC.md) - 仅需一台服务器
+
+### 1. 准备一些内容
+
+> 1. 服务器开通 80 端口。用代理的话，对应的代理端口也需要打开。
+> 2. QQ 邮箱 Code：进入 QQ 邮箱 -> 账号 -> 申请 SMTP 账号
+> 3. 有域名的准备好 SSL 证书
+
+### 2. 安装 docker 和 docker-compose
+
+这个不同系统略有区别，百度安装下。验证安装成功后进行下一步。下面给出一个例子：
+
+```bash
+# 安装docker
+curl -L https://get.daocloud.io/docker | sh
+sudo systemctl start docker
+# 安装 docker-compose
+curl -L https://github.com/docker/compose/releases/download/1.23.2/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
+sudo chmod +x /usr/local/bin/docker-compose
+# 验证安装
+docker -v
+docker-compose -v
+# 如果docker-compose运行不了，可以把 deploy/fastgpt/docker-compose 文件复制到服务器，然后在 docker-compose 文件夹里执行 sh init.sh。会把docker-compose文件复制到对应目录。
+```
+
+### 2. 创建 3 个初始化文件
+
+fastgpt 文件夹。分别为：fastgpt/docker-compose.yaml, fastgpt/pg/init.sql, fastgpt/nginx/nginx.conf
+
+手动创建或者直接把 fastgpt 文件夹复制过去。
+
+### 3. 运行 docker-compose
+
+下面是一个辅助脚本，也可以直接 docker-compose up -d
+
+**run.sh 运行文件**
+
+```bash
+#!/bin/bash
+docker-compose pull
+docker-compose up -d
+
+echo "Docker Compose 重新拉取镜像完成！"
+
+# 删除本地旧镜像
+images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fastgpt)
+
+# 将镜像 ID 和名称放入数组中
+IFS=$'\n' read -rd '' -a image_array <<<"$images"
+
+# 遍历数组并删除所有旧的镜像
+for ((i=1; i<${#image_array[@]}; i++))
+do
+    image=${image_array[$i]}
+    image_id=${image%% *}
+    docker rmi $image_id
+done
+```
+
+## 其他优化点
+
+# Git Action 自动打包镜像
+
+.github 里拥有一个 git 提交到 main 分支时自动打包 amd64 和 arm64 镜像的 actions。你仅需要提前在 git 配置好 session。
+
+1. 创建账号 session: 头像 -> settings -> 最底部 Developer settings -> Personal access tokens -> tokens(classic) -> 创建新 session，把一些看起来需要的权限勾上。
+2. 添加 session 到仓库: 仓库 -> settings -> Secrets and variables -> Actions -> 创建 secret
+3. 填写 secret: Name-GH_PAT, Secret-第一步的 tokens
+
+## 其他问题
+
+### Mac 可能的问题
+
+> 因为教程有部分镜像不兼容 arm64，所以写个文档指导新手如何快速在 mac 上面搭建 fast-gpt[在 mac 上面部署 fastgpt 可能存在的问题](./mac.md)

docs/deploy/fastgpt/clash/proxy.sh

@@ -11,7 +11,7 @@ if [ ! -z "$OLD_PROCESS" ]; then
 fi
 sleep 2
 
-cd  /root/fast-gpt/clash/fast
+cd  /root/fastgpt/clash/fast
 rm -f ./nohup.out || true
 rm -f ./cache.db || true
 nohup ./clash-linux-amd64-v3  -d ./ &

docs/deploy/fastgpt/docker-compose.yml

@@ -0,0 +1,87 @@
+version: '3.3'
+services:
+  pg:
+    image: ankane/pgvector:v0.4.2
+    container_name: pg
+    restart: always
+    ports:
+      - 8100:5432
+    environment:
+      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
+      - POSTGRES_USER=fastgpt
+      - POSTGRES_PASSWORD=1234
+      - POSTGRES_DB=fastgpt
+    volumes:
+      # 刚创建的文件
+      - /root/fastgpt/pg/init.sql:/docker-entrypoint-initdb.d/init.sh
+      - /root/fastgpt/pg/data:/var/lib/postgresql/data
+      - /etc/localtime:/etc/localtime:ro
+  mongodb:
+    image: mongo:6.0.4
+    container_name: mongo
+    restart: always
+    ports:
+      - 27017:27017
+    environment:
+      # 这里的配置只有首次运行生效。修改后，重启镜像是不会生效的。需要把持久化数据删除再重启，才有效果
+      - MONGO_INITDB_ROOT_USERNAME=username
+      - MONGO_INITDB_ROOT_PASSWORD=password
+    volumes:
+      - /root/fastgpt/mongo/data:/data/db
+      - /root/fastgpt/mongo/logs:/var/log/mongodb
+      - /etc/localtime:/etc/localtime:ro
+  fastgpt:
+    image: registry.cn-hangzhou.aliyuncs.com/fastgpt/fastgpt:latest
+    network_mode: host
+    restart: always
+    container_name: fastgpt
+    environment:
+      # proxy（可选）
+      - AXIOS_PROXY_HOST=127.0.0.1
+      - AXIOS_PROXY_PORT=7890
+      # 是否开启队列任务。 1-开启，0-关闭（请求 parentUrl 去执行任务,单机时直接填1）
+      - queueTask=1
+      - parentUrl=https://hostname/api/openapi/startEvents
+      # 发送邮箱验证码配置。用的是QQ邮箱。参考 nodeMail 获取MAILE_CODE，自行百度。
+      - MY_MAIL=xxxx@qq.com
+      - MAILE_CODE=xxxx
+      # 阿里短信服务（邮箱和短信至少二选一）
+      - aliAccessKeyId=xxxx
+      - aliAccessKeySecret=xxxx
+      - aliSignName=xxxxx
+      - aliTemplateCode=SMS_xxxx
+      # token加密凭证（随便填，作为登录凭证）
+      - TOKEN_KEY=xxxx
+      # root key, 最高权限，可以内部接口互相调用
+      - ROOT_KEY=xxx
+      # 是否进行安全校验(1: 开启，0: 关闭)
+      - SENSITIVE_CHECK=1
+      # 和上方mongo镜像的username,password对应
+      - MONGODB_URI=mongodb://username:password@0.0.0.0:27017/?authSource=admin
+      - MONGODB_NAME=fastgpt
+      - PG_HOST=0.0.0.0
+      - PG_PORT=8100
+      # 和上方PG镜像对应.
+      - PG_USER=fastgpt # POSTGRES_USER
+      - PG_PASSWORD=1234 # POSTGRES_PASSWORD
+      - PG_DB_NAME=fastgpt # POSTGRES_DB
+      # openai
+      - OPENAIKEY=sk-xxxxx
+      - GPT4KEY=sk-xxx
+      - OPENAI_BASE_URL=https://api.openai.com/v1
+      - OPENAI_BASE_URL_AUTH=可选的安全凭证
+      # claude
+      - CLAUDE_BASE_URL=calude模型请求地址
+      - CLAUDE_KEY=CLAUDE_KEY
+  nginx:
+    image: nginx:alpine3.17
+    container_name: nginx
+    restart: always
+    network_mode: host
+    volumes:
+      # 刚创建的文件
+      - /root/fastgpt/nginx/nginx.conf:/etc/nginx/nginx.conf:ro
+      - /root/fastgpt/nginx/logs:/var/log/nginx
+      # https证书，没有的话不填，对应的nginx.conf也要修改
+      - /root/fastgpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
+      - /root/fastgpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem

docs/deploy/fastgpt/docker-compose/init.sh

@@ -0,0 +1,2 @@
+cp ./docker-compose /usr/local/bin/docker-compose
+sudo chmod +x /usr/local/bin/docker-compose

docs/deploy/fastgpt/nginx/nginx.conf

@@ -54,4 +54,16 @@ http {
         server_name docgpt.ahapocket.cn;
         rewrite ^(.*) https://$server_name$1 permanent;
     }
+
+    server {
+        listen 3000;
+        server_name 120.0.0.0;
+
+        location / {
+            proxy_pass http://localhost:3000;
+            proxy_set_header Host $host;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;        
+        }
+    }
 }

docs/deploy/fastgpt/pg/init.sql

@@ -8,12 +8,14 @@ CREATE TABLE modelData (
     vector VECTOR(1536),
     status VARCHAR(50) NOT NULL,
     user_id VARCHAR(50) NOT NULL,
-    model_id VARCHAR(50) NOT NULL,
+    model_id VARCHAR(50),
+    kb_id VARCHAR(50),
     q TEXT NOT NULL,
     a TEXT NOT NULL
 );
 -- create index
 CREATE INDEX modelData_status_index ON modelData USING HASH (status);
 CREATE INDEX modelData_userId_index ON modelData USING HASH (user_id);
-CREATE INDEX modelData_modelId_index ON modelData USING HASH (model_id);
+CREATE INDEX modelData_userId_index ON modelData USING HASH (model_id);
+CREATE INDEX modelData_kbId_index ON modelData USING HASH (kb_id);
 EOSQL

docs/deploy/fastgpt/run.sh

@@ -5,7 +5,7 @@ docker-compose up -d
 echo "Docker Compose 重新拉取镜像完成！"
 
 # 删除本地旧镜像
-images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fast-gpt)
+images=$(docker images --format "{{.ID}} {{.Repository}}" | grep fastgpt)
 
 # 将镜像 ID 和名称放入数组中
 IFS=$'\n' read -rd '' -a image_array <<<"$images"

docs/deploy/mac.md

@@ -1,35 +1,33 @@
-## 怎么在mac上面部署fastgpt
+## Mac 上部署可能遇到的问题
 
 ### 前置条件
 
-1、可以 curl api.openai.com 
+1、可以 curl api.openai.com
 
-2、有openai key
+2、有 openai key
 
-3、有邮箱MAILE_CODE
+3、有邮箱 MAILE_CODE
 
-4、有docker 
+4、有 docker
 
 ```
 docker -v
 ```
 
-5、有pnpm ，可以使用`brew install pnpm`安装
+5、有 pnpm ，可以使用`brew install pnpm`安装
 
-6、需要创建一个放置pg和mongo数据的文件夹，这里创建在`~/fastgpt`目录中,里面有`pg` 和`mongo `两个文件夹
+6、需要创建一个放置 pg 和 mongo 数据的文件夹，这里创建在`~/fastgpt`目录中,里面有`pg` 和`mongo `两个文件夹
 
 ```
-➜  fast-gpt pwd
-/Users/jie/fast-gpt
-➜  fast-gpt ls
+➜  fastgpt pwd
+/Users/jie/fastgpt
+➜  fastgpt ls
 mongo pg
 ```
 
+### docker 部署方式
 
-
-### docker部署方式
-
-这种方式主要是为了方便调试，可以使用`pnpm dev ` 运行fast-gpt项目
+这种方式主要是为了方便调试，可以使用`pnpm dev ` 运行 fastgpt 项目
 
 **1、.env.local 文件**
 
@@ -60,19 +58,19 @@ PG_PASSWORD=xxx
 PG_DB_NAME=xxx
 ```
 
-**2、部署mongo**
+**2、部署 mongo**
 
 ```
-docker run --name mongo -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=username -e MONGO_INITDB_ROOT_PASSWORD=password -v ~/fast-gpt/mongo/data:/data/db -d mongo:4.0.1
+docker run --name mongo -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=username -e MONGO_INITDB_ROOT_PASSWORD=password -v ~/fastgpt/mongo/data:/data/db -d mongo:4.0.1
 ```
 
-**3、部署pgsql**
+**3、部署 pgsql**
 
 ```
-docker run -it --name pg -e "POSTGRES_PASSWORD=xxx" -e POSTGRES_USER=xxx -p 8100:5432 -v ~/fast-gpt/pg/data:/var/lib/postgresql/data -d octoberlan/pgvector:v0.4.1
+docker run -it --name pg -e "POSTGRES_DB=fastgpt" -e "POSTGRES_PASSWORD=xxx" -e POSTGRES_USER=xxx -p 8100:5432 -v ~/fastgpt/pg/data:/var/lib/postgresql/data -d octoberlan/pgvector:v0.4.1
 ```
 
-进pgsql容器运行
+进 pgsql 容器运行
 
 ```
 psql -v ON_ERROR_STOP=1 --username "$POSTGRES_USER" --dbname "$POSTGRES_DB" <<-EOSQL
@@ -90,11 +88,9 @@ CREATE TABLE modelData (
 );
 -- create index
 CREATE INDEX modelData_status_index ON modelData (status);
-CREATE INDEX modelData_modelId_index ON modelData (modelId);
-CREATE INDEX modelData_userId_index ON modelData (userId);
+CREATE INDEX modelData_modelId_index ON modelData (model_id);
+CREATE INDEX modelData_userId_index ON modelData (user_id);
 EOSQL
 ```
 
-
-
-4、**最后在FASTGPT项目里面运行pnpm dev 运行项目，然后进入localhost:3000 看项目是否跑起来了**
+4、**最后在 FASTGPT 项目里面运行 pnpm dev 运行项目，然后进入 localhost:3000 看项目是否跑起来了**

docs/deploy/proxy/nginx.md

@@ -1,4 +1,5 @@
 # nginx 反向代理 openai 接口
+
 如果你有国外的服务器，可以通过配置 nginx 反向代理，转发 openai 相关的请求，从而让国内的服务器可以通过访问该 nginx 去访问 openai 接口。
 
 ```conf
@@ -19,7 +20,7 @@ http {
     client_header_buffer_size 32k;
     large_client_header_buffers 4 32k;
     client_max_body_size 50M;
- 
+
     gzip  on;
     gzip_min_length   1k;
     gzip_buffers  4 8k;
@@ -43,10 +44,10 @@ http {
 
         location ~ /openai/(.*) {
             # auth check
-            if ($http_authkey != "xxxxxx") {
+            if ($auth != "xxxxxx") {
                 return 403;
             }
-            
+
             proxy_pass https://api.openai.com/$1$is_args$args;
             proxy_set_header Host api.openai.com;
             proxy_set_header X-Real-IP $remote_addr;
@@ -69,4 +70,4 @@ http {
         rewrite ^(.*) https://$server_name$1 permanent;
     }
 }
-```
+```

docs/deploy/proxy/sealos.md

@@ -0,0 +1,100 @@
+# sealos 部署 openai 中转
+
+## 登录 sealos cloud
+
+[sealos cloud](https://cloud.sealos.io/)
+
+## 创建应用
+
+打开 App Launchpad -> 新建应用
+
+![step1](./imgs//sealos1.png)  
+![step2](./imgs//sealos2.png)
+
+### 开启外网访问
+
+![step3](./imgs//sealos3.png)
+
+### 添加 configmap 文件
+
+1. 复制下面这段代码，注意 `server_name` 后面的内容替换成上图的地址。
+
+```
+user nginx;
+worker_processes auto;
+worker_rlimit_nofile 51200;
+
+events {
+    worker_connections 1024;
+}
+
+http {
+    resolver 8.8.8.8;
+    proxy_ssl_server_name on;
+
+    access_log off;
+    server_names_hash_bucket_size 512;
+    client_header_buffer_size 64k;
+    large_client_header_buffers 4 64k;
+    client_max_body_size 50M;
+
+    proxy_connect_timeout       240s;
+    proxy_read_timeout          240s;
+    proxy_buffer_size 128k;
+    proxy_buffers 4 256k;
+
+
+    server {
+        listen 80;
+        server_name tgohwtdlrmer.cloud.sealos.io; # 这个地方替换成 sealos 提供的内容
+
+        location ~ /openai/(.*) {
+            # auth check
+            if ($http_auth != "auth") { # 安全凭证
+                return 403;
+            }
+
+            proxy_pass https://api.openai.com/$1$is_args$args;
+            proxy_set_header Host api.openai.com;
+            proxy_set_header X-Real-IP $remote_addr;
+            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
+            # 如果响应是流式的
+            proxy_set_header Connection '';
+            proxy_http_version 1.1;
+            chunked_transfer_encoding off;
+            proxy_buffering off;
+            proxy_cache off;
+            # 如果响应是一般的
+            proxy_buffer_size 128k;
+            proxy_buffers 4 256k;
+            proxy_busy_buffers_size 256k;
+        }
+    }
+}
+```
+
+2. 点开高级配置
+3. 点击新增 configmap
+4. 文件名写: `/etc/nginx/nginx.conf`
+5. 文件值为刚刚复制的那段代码
+6. 点击确认
+
+![step4](./imgs//sealos4.png)
+
+### 部署应用
+
+填写完毕后，点击右上角的 `部署应用`，即可完成。
+
+## 修改 FastGpt 环境变量
+
+1. 进入刚刚部署应用的详情，复制外网地址
+   ![step5](./imgs//sealos5.png)
+
+2. 修改环境变量（是 FastGpt 的环境变量，不是 sealos 的）:
+
+```
+OPENAI_BASE_URL=https://tgohwtdlrmer.cloud.sealos.io/openai/v1
+OPENAI_BASE_URL_AUTH=auth
+```
+
+**Done!**

docs/dev/README.md

@@ -0,0 +1,51 @@
+# FastGpt 本地开发
+
+第一次开发，请先[部署教程](../deploy/docker.md)，需要部署数据库.
+
+## 环境变量配置
+
+复制.env.template 文件，生成一个.env.local 环境变量文件夹，修改.env.local 里内容。
+
+```bash
+# proxy（可选）
+AXIOS_PROXY_HOST=127.0.0.1
+AXIOS_PROXY_PORT=7890
+# 是否开启队列任务。 1-开启，0-关闭（请求parentUrl去执行任务,单机时直接填1）
+queueTask=1
+parentUrl=https://hostname/api/openapi/startEvents
+# email
+MY_MAIL=xxx@qq.com
+MAILE_CODE=xxx
+# ali ems
+aliAccessKeyId=xxx
+aliAccessKeySecret=xxx
+aliSignName=xxx
+aliTemplateCode=SMS_xxx
+# token
+TOKEN_KEY=xxx
+# root key, 最高权限
+ROOT_KEY=xxx
+# 是否进行安全校验(1: 开启，0: 关闭)
+SENSITIVE_CHECK=1
+# openai
+# OPENAI_BASE_URL=https://api.openai.com/v1
+# OPENAI_BASE_URL_AUTH=可选的安全凭证(不需要的时候，记得去掉)
+OPENAIKEY=sk-xxx
+GPT4KEY=sk-xxx
+# claude
+CLAUDE_BASE_URL=calude模型请求地址
+CLAUDE_KEY=CLAUDE_KEY
+# db
+MONGODB_URI=mongodb://username:password@0.0.0.0:27017/test?authSource=admin
+PG_HOST=0.0.0.0
+PG_PORT=8100
+PG_USER=xxx
+PG_PASSWORD=xxx
+PG_DB_NAME=xxx
+```
+
+## 运行
+
+```
+pnpm dev
+```

package.json

@@ -1,6 +1,6 @@
 {
   "name": "fastgpt",
-  "version": "0.1.0",
+  "version": "3.7",
   "private": true,
   "scripts": {
     "dev": "next dev",
@@ -39,6 +39,7 @@
     "mongoose": "^6.10.0",
     "nanoid": "^4.0.1",
     "next": "13.1.6",
+    "nextjs-cors": "^2.1.2",
     "nodemailer": "^6.9.1",
     "nprogress": "^0.2.0",
     "openai": "^3.2.1",
@@ -82,5 +83,8 @@
   },
   "lint-staged": {
     "./src/**/*.{ts,tsx,scss}": "npm run format"
+  },
+  "engines": {
+    "node": ">=18.0.0"
   }
 }

pnpm-lock.yaml

@@ -46,6 +46,7 @@ specifiers:
   mongoose: ^6.10.0
   nanoid: ^4.0.1
   next: 13.1.6
+  nextjs-cors: ^2.1.2
   nodemailer: ^6.9.1
   nprogress: ^0.2.0
   openai: ^3.2.1
@@ -97,6 +98,7 @@ dependencies:
   mongoose: registry.npmmirror.com/mongoose/6.10.0
   nanoid: registry.npmmirror.com/nanoid/4.0.1
   next: registry.npmmirror.com/next/13.1.6_wiv434v7erz4aedd5whhdwmpv4
+  nextjs-cors: 2.1.2_next@13.1.6
   nodemailer: registry.npmmirror.com/nodemailer/6.9.1
   nprogress: registry.npmmirror.com/nprogress/0.2.0
   openai: registry.npmmirror.com/openai/3.2.1
@@ -294,11 +296,29 @@ packages:
     resolution: {integrity: sha512-COUnqfB2+ckwXXSFInsFdOAWQzCCx+a5hq2ruyj+Vjund94RJQd4LG2u9hnvJrTgunKAaax7ancBYlDrNYxA0g==}
     dev: true
 
+  /@types/hast/2.3.4:
+    resolution: {integrity: sha512-wLEm0QvaoawEDoTRwzTXp4b4jpwiJDvR5KMnFnVodm3scufTlBOWRD6N1OBf9TZMhjlNsSfcO5V+7AF4+Vy+9g==}
+    dependencies:
+      '@types/unist': 2.0.6
+    dev: false
+
+  /@types/unist/2.0.6:
+    resolution: {integrity: sha512-PBjIUxZHOuj0R15/xuwJYjFi+KZdNFrehocChv4g5hu6aFroHue8m0lBP0POdK2nKzbw0cgV1mws8+V/JAcEkQ==}
+    dev: false
+
   /cookie/0.5.0:
     resolution: {integrity: sha512-YZ3GUyn/o8gfKJlnlX7g7xq4gyO6OSuhGPKaaGssGB2qgDUS0gPgtTvoyZLTt9Ab6dC4hfc9dV5arkvc/OCmrw==}
     engines: {node: '>= 0.6'}
     dev: false
 
+  /cors/2.8.5:
+    resolution: {integrity: sha512-KIHbLJqu73RGr/hnbrO9uBeixNGuvSQjul/jdFvS/KFSIH1hWVd1ng7zOHx+YrEfInLG7q4n6GHQ9cDtxv/P6g==}
+    engines: {node: '>= 0.10'}
+    dependencies:
+      object-assign: 4.1.1
+      vary: 1.1.2
+    dev: false
+
   /fsevents/2.3.2:
     resolution: {integrity: sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==}
     engines: {node: ^8.16.0 || ^10.6.0 || >=11.0.0}
@@ -309,9 +329,24 @@ packages:
 
   /graceful-fs/4.2.10:
     resolution: {integrity: sha512-9ByhssR2fPVsNZj478qUUbKfmL0+t5BDVyjShtyZZLiK7ZDAArFFfopyOTj0M05wE2tJPisA4iTnnXl2YoPvOA==}
+    requiresBuild: true
     dev: false
     optional: true
 
+  /nextjs-cors/2.1.2_next@13.1.6:
+    resolution: {integrity: sha512-2yOVivaaf2ILe4f/qY32hnj3oC77VCOsUQJQfhVMGsXE/YMEWUY2zy78sH9FKUCM7eG42/l3pDofIzMD781XGA==}
+    peerDependencies:
+      next: ^8.1.1-canary.54 || ^9.0.0 || ^10.0.0-0 || ^11.0.0 || ^12.0.0 || ^13.0.0
+    dependencies:
+      cors: 2.8.5
+      next: registry.npmmirror.com/next/13.1.6_wiv434v7erz4aedd5whhdwmpv4
+    dev: false
+
+  /object-assign/4.1.1:
+    resolution: {integrity: sha512-rJgTQnkUnH1sFw8yT6VSU3zD3sWmu6sZhIseY8VX+GRu3P6F7Fu+JNDoXfklElbLJSnc3FUQHVe4cU5hj+BcUg==}
+    engines: {node: '>=0.10.0'}
+    dev: false
+
   /saslprep/1.0.3:
     resolution: {integrity: sha512-/MY/PEMbk2SuY5sScONwhUDsV2p77Znkb/q3nSVstq/yQzYJOH/Azh29p9oJLsl3LnQwSvZDKagDGBsBwSooag==}
     engines: {node: '>=6'}
@@ -324,9 +359,15 @@ packages:
   /source-map/0.6.1:
     resolution: {integrity: sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==}
     engines: {node: '>=0.10.0'}
+    requiresBuild: true
     dev: false
     optional: true
 
+  /vary/1.1.2:
+    resolution: {integrity: sha512-BNGbWLfd0eUPabhkXUVm0j8uuvREyTh5ovRa/dyow/BqAbZJyC+5fU+IzQOzmAKzYqYRAISoRhdQr3eIZ/PXqg==}
+    engines: {node: '>= 0.8'}
+    dev: false
+
   registry.npmmirror.com/@alicloud/credentials/2.2.6:
     resolution: {integrity: sha512-jG+msY77dHmAF3x+8VTy7fEgORyXLHmDci8t92HeipBdCHsPptDegA++GEwKgR7f6G4wvafYt+aqMZ1iligdrQ==, registry: https://registry.npm.taobao.org/, tarball: https://registry.npmmirror.com/@alicloud/credentials/-/credentials-2.2.6.tgz}
     name: '@alicloud/credentials'
@@ -7742,7 +7783,7 @@ packages:
     name: hast-util-from-parse5
     version: 7.1.2
     dependencies:
-      '@types/hast': registry.npmmirror.com/@types/hast/2.3.4
+      '@types/hast': 2.3.4
       '@types/unist': registry.npmmirror.com/@types/unist/2.0.6
       hastscript: registry.npmmirror.com/hastscript/7.2.0
       property-information: registry.npmmirror.com/property-information/6.2.0
@@ -7756,7 +7797,7 @@ packages:
     name: hast-util-is-element
     version: 2.1.3
     dependencies:
-      '@types/hast': registry.npmmirror.com/@types/hast/2.3.4
+      '@types/hast': 2.3.4
       '@types/unist': registry.npmmirror.com/@types/unist/2.0.6
     dev: false
 
@@ -7771,7 +7812,7 @@ packages:
     name: hast-util-parse-selector
     version: 3.1.1
     dependencies:
-      '@types/hast': registry.npmmirror.com/@types/hast/2.3.4
+      '@types/hast': 2.3.4
     dev: false
 
   registry.npmmirror.com/hast-util-to-text/3.1.2:
@@ -7796,7 +7837,7 @@ packages:
     name: hastscript
     version: 6.0.0
     dependencies:
-      '@types/hast': registry.npmmirror.com/@types/hast/2.3.4
+      '@types/hast': 2.3.4
       comma-separated-tokens: registry.npmmirror.com/comma-separated-tokens/1.0.8
       hast-util-parse-selector: registry.npmmirror.com/hast-util-parse-selector/2.2.5
       property-information: registry.npmmirror.com/property-information/5.6.0
@@ -7808,7 +7849,7 @@ packages:
     name: hastscript
     version: 7.2.0
     dependencies:
-      '@types/hast': registry.npmmirror.com/@types/hast/2.3.4
+      '@types/hast': 2.3.4
       comma-separated-tokens: registry.npmmirror.com/comma-separated-tokens/2.0.3
       hast-util-parse-selector: registry.npmmirror.com/hast-util-parse-selector/3.1.1
       property-information: registry.npmmirror.com/property-information/6.2.0
@@ -8762,7 +8803,7 @@ packages:
     version: 5.1.2
     dependencies:
       '@types/mdast': registry.npmmirror.com/@types/mdast/3.0.10
-      '@types/unist': registry.npmmirror.com/@types/unist/2.0.6
+      '@types/unist': 2.0.6
       unist-util-visit: registry.npmmirror.com/unist-util-visit/4.1.2
     dev: false
 
@@ -8890,7 +8931,7 @@ packages:
     name: mdast-util-to-hast
     version: 12.3.0
     dependencies:
-      '@types/hast': registry.npmmirror.com/@types/hast/2.3.4
+      '@types/hast': 2.3.4
       '@types/mdast': registry.npmmirror.com/@types/mdast/3.0.10
       mdast-util-definitions: registry.npmmirror.com/mdast-util-definitions/5.1.2
       micromark-util-sanitize-uri: registry.npmmirror.com/micromark-util-sanitize-uri/1.1.0
@@ -9441,7 +9482,7 @@ packages:
     version: 2.7.0
     dependencies:
       any-promise: registry.npmmirror.com/any-promise/1.3.0
-      object-assign: registry.npmmirror.com/object-assign/4.1.1
+      object-assign: 4.1.1
       thenify-all: registry.npmmirror.com/thenify-all/1.6.0
     dev: false
 
@@ -11624,7 +11665,7 @@ packages:
     name: unist-util-position
     version: 4.0.4
     dependencies:
-      '@types/unist': registry.npmmirror.com/@types/unist/2.0.6
+      '@types/unist': 2.0.6
     dev: false
 
   registry.npmmirror.com/unist-util-remove-position/4.0.2:
@@ -11817,7 +11858,7 @@ packages:
     name: vfile-location
     version: 4.1.0
     dependencies:
-      '@types/unist': registry.npmmirror.com/@types/unist/2.0.6
+      '@types/unist': 2.0.6
       vfile: registry.npmmirror.com/vfile/5.3.7
     dev: false
 

public/docs/chatProblem.md

@@ -1,14 +1,27 @@
 ### 常见问题
 
-**请求次数太多了**
-一般是因为自己的 openai 账号异常。请先检查自己的账号是否正常使用。
-**内容长度**
-chatgpt 上下文最长 4096 tokens, 会自动截取上下文，超过 4096 部分会被遗忘。
+**Git 地址**
+[项目地址，完全开源，随便用。](https://github.com/c121914yu/FastGPT)
+
+**问题文档**
+[先看文档，再提问](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
+
 **删除和复制**
 电脑端：聊天内容右侧有复制和删除的图标。
 移动端：点击对话头像，可以选择复制或删除该条内容。
-**代理出错**
-服务器代理不稳定，可以过一会儿再尝试。 或者可以访问国外服务器: [FastGpt](https://fastgpt.run/)
+
+**价格表**
+如果使用了自己的 Api Key，不会计费。可以在账号页，看到详细账单。
+| 计费项 | 价格: 元/ 1K tokens（包含上下文）|
+| --- | --- |
+| claude - 对话 | 免费 |
+| 知识库 - 索引 | 免费 |
+| chatgpt - 对话 | 0.025 |
+| gpt4 - 对话 | 0.5 |
+| 文件拆分 | 0.025 |
+
 **其他问题**
 请 WX 联系: fastgpt123
-![FastGpt](/imgs/wx300.jpg)
+| 交流群 | 小助手 |
+| ----------------------- | -------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

public/docs/csvSelect.md

@@ -1,6 +1,9 @@
-接受一个csv文件，表格头包含 question 和 answer。question 代表问题，answer 代表答案。 
+接受一个 csv 文件，表格头包含 question 和 answer。question 代表问题，answer 代表答案。
 导入前会进行去重，如果问题和答案完全相同，则不会被导入，所以最终导入的内容可能会比文件的内容少。但是，对于带有换行的内容，目前无法去重。
-| question | answer |
-| --- | --- | 
-| 什么是 laf  | laf 是一个云函数开发平台…… |
+
+### 请保证 csv 文件为 utf-8 编码
+
+| question      | answer                                                 |
+| ------------- | ------------------------------------------------------ |
+| 什么是 laf    | laf 是一个云函数开发平台……                             |
 | 什么是 sealos | Sealos 是以 kubernetes 为内核的云操作系统发行版,可以…… |

public/docs/intro.md

@@ -1,43 +1,34 @@
 ## 欢迎使用 Fast GPT
 
-[Git 仓库](https://github.com/c121914yu/FastGPT)
+### 项目开源
 
-### 交流群/问题反馈
+FastGpt 项目完全开源，可随意私有化部署，去除平台风险忧虑。项目地址：[Git 仓库](https://github.com/c121914yu/FastGPT)
 
-扫码满了，加个小号，定时拉
-wx 号: fastgpt123
-![](/imgs/wx300.jpg)
+### 开始使用知识库
 
-### 快速开始
+1. AI 助手详情里，有一个模型效果。打开知识库搜索开关即可使用知识库搜索功能。
+2. 导入知识库数据。可以手动输入或文件导入。
+3. 开始对话。
+4. 对话结束后，会看到聊天下方有一个“查看提示词”,可以看到搜索到了哪些内容。
 
-1. 使用手机号注册账号。
-2. 进入账号页面，添加关联账号，目前只有 openai 的账号可以添加，直接去 openai 官网，把 API Key 粘贴过来。
-3. 如果填写了自己的 openai 账号，使用时会直接用你的账号。如果没有填写，需要付费使用平台的账号。
-4. 进入模型页，创建一个模型，建议直接用 ChatGPT。
-5. 在模型列表点击【对话】，即可使用 API 进行聊天。
+注意：使用知识库模型对话时，tokens 消耗会加快。
 
 ### 价格表
 
-如果使用了自己的 Api Key，不会计费。可以在账号页，看到详细账单。单纯使用 chatGPT 模型进行对话，只有一个计费项目。使用知识库时，包含**对话**和**索引**生成两个计费项。
+如果使用了自己的 Api Key，不会计费。可以在账号页，看到详细账单。
 | 计费项 | 价格: 元/ 1K tokens（包含上下文）|
 | --- | --- |
 | claude - 对话 | 免费 |
-| chatgpt - 对话 | 0.03 |
-| 知识库 - 对话 | 0.03 |
-| 知识库 - 索引 | 0.004 |
-| 文件拆分 | 0.03 |
+| 知识库 - 索引 | 免费 |
+| chatgpt - 对话 | 0.025 |
+| gpt4 - 对话 | 0.5 |
+| 文件拆分 | 0.025 |
 
-### 定制 prompt
+### 交流群/问题反馈
 
-1. 进入模型编辑页
-2. 调整温度和提示词
-3. 使用该模型对话。每次对话时，提示词和温度都会自动注入，方便管理个人的模型。建议把自己日常经常需要使用的 5~10 个方向预设好。
+如果群满了，可加个小助手，定时拉
+wx 号: fastgpt123
 
-### 知识库
-
-1. 创建模型时选择【知识库】
-2. 进入模型编辑页
-3. 导入数据，可以选择手动导入，或者选择文件导入。文件导入会自动调用 chatGPT 理解文件内容，并生成知识库。
-4. 使用该模型对话。
-
-注意：使用知识库模型对话时，tokens 消耗会加快。
+| 交流群                                            | 小助手                                         |
+| ------------------------------------------------- | ---------------------------------------------- |
+| ![](https://otnvvf-imgs.oss.laf.run/wxqun300.jpg) | ![](https://otnvvf-imgs.oss.laf.run/wx300.jpg) |

public/docs/versionIntro.md

@@ -1,8 +1,4 @@
-### Fast GPT V3.4
+### Fast GPT V3.8
 
-- 新增 - 全新的交互 UI
-- 新增 - 用户自定义头像
-- 优化 - 知识库搜索，会将上一个问题并入搜索范围。
-- 优化 - 模型结构设计，不再区分知识库和对话模型，而是通过开关的形式，手动选择手否需要进行知识库搜索。
-- 新增 - 模型共享市场，可以使用其他用户分享的模型。
-- 新增 - 邀请好友注册功能。
+- 新增 - 知识库引用反馈。
+- 新增 - 知识库与 AI 助手对多对关系，一个知识库可以被多个 AI 助手关联，一个 AI 助手可以关联多个知识库。

src/api/chat.ts

@@ -1,7 +1,11 @@
 import { GET, POST, DELETE } from './request';
-import type { ChatItemType, HistoryItemType } from '@/types/chat';
-import type { InitChatResponse } from './response/chat';
+import type { HistoryItemType } from '@/types/chat';
+import type { InitChatResponse, InitShareChatResponse } from './response/chat';
 import { RequestPaging } from '../types/index';
+import type { ShareChatSchema } from '@/types/mongoSchema';
+import type { ShareChatEditType } from '@/types/model';
+import { Obj2Query } from '@/utils/tools';
+import { QuoteItemType } from '@/pages/api/openapi/kb/appKbSearch';
 
 /**
  * 获取初始化聊天内容
@@ -21,17 +25,48 @@ export const getChatHistory = (data: RequestPaging) =>
 export const delChatHistoryById = (id: string) => GET(`/chat/removeHistory?id=${id}`);
 
 /**
- * 存储一轮对话
+ * get history quotes
  */
-export const postSaveChat = (data: {
-  modelId: string;
-  newChatId: '' | string;
-  chatId: '' | string;
-  prompts: ChatItemType[];
-}) => POST<string>('/chat/saveChat', data);
+export const getHistoryQuote = (params: { chatId: string; historyId: string }) =>
+  GET<(QuoteItemType & { _id: string })[]>(`/chat/getHistoryQuote`, params);
+
+/**
+ * update history quote status
+ */
+export const updateHistoryQuote = (params: {
+  chatId: string;
+  historyId: string;
+  quoteId: string;
+}) => GET(`/chat/updateHistoryQuote`, params);
 
 /**
  * 删除一句对话
  */
 export const delChatRecordByIndex = (chatId: string, contentId: string) =>
   DELETE(`/chat/delChatRecordByContentId?chatId=${chatId}&contentId=${contentId}`);
+
+/**
+ * create a shareChat
+ */
+export const createShareChat = (
+  data: ShareChatEditType & {
+    modelId: string;
+  }
+) => POST<string>(`/chat/shareChat/create`, data);
+
+/**
+ * get  shareChat
+ */
+export const getShareChatList = (modelId: string) =>
+  GET<ShareChatSchema[]>(`/chat/shareChat/list?modelId=${modelId}`);
+
+/**
+ * delete a  shareChat
+ */
+export const delShareChatById = (id: string) => DELETE(`/chat/shareChat/delete?id=${id}`);
+
+/**
+ * 初始化分享聊天
+ */
+export const initShareChatInfo = (data: { shareId: string; password: string }) =>
+  GET<InitShareChatResponse>(`/chat/shareChat/init?${Obj2Query(data)}`);

src/api/fetch.ts

@@ -1,4 +1,4 @@
-import { SYSTEM_PROMPT_HEADER, NEW_CHATID_HEADER } from '@/constants/chat';
+import { GUIDE_PROMPT_HEADER, NEW_CHATID_HEADER, QUOTE_LEN_HEADER } from '@/constants/chat';
 
 interface StreamFetchProps {
   url: string;
@@ -7,7 +7,7 @@ interface StreamFetchProps {
   abortSignal: AbortController;
 }
 export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchProps) =>
-  new Promise<{ responseText: string; systemPrompt: string; newChatId: string }>(
+  new Promise<{ responseText: string; newChatId: string; systemPrompt: string; quoteLen: number }>(
     async (resolve, reject) => {
       try {
         const res = await fetch(url, {
@@ -23,8 +23,11 @@ export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchPr
 
         const decoder = new TextDecoder();
 
-        const systemPrompt = decodeURIComponent(res.headers.get(SYSTEM_PROMPT_HEADER) || '').trim();
         const newChatId = decodeURIComponent(res.headers.get(NEW_CHATID_HEADER) || '');
+        const systemPrompt = decodeURIComponent(res.headers.get(GUIDE_PROMPT_HEADER) || '').trim();
+        const quoteLen = res.headers.get(QUOTE_LEN_HEADER)
+          ? Number(res.headers.get(QUOTE_LEN_HEADER))
+          : 0;
 
         let responseText = '';
 
@@ -33,7 +36,7 @@ export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchPr
             const { done, value } = await reader?.read();
             if (done) {
               if (res.status === 200) {
-                resolve({ responseText, systemPrompt, newChatId });
+                resolve({ responseText, newChatId, quoteLen, systemPrompt });
               } else {
                 const parseError = JSON.parse(responseText);
                 reject(parseError?.message || '请求异常');
@@ -41,13 +44,13 @@ export const streamFetch = ({ url, data, onMessage, abortSignal }: StreamFetchPr
 
               return;
             }
-            const text = decoder.decode(value).replace(/<br\/>/g, '\n');
+            const text = decoder.decode(value);
             responseText += text;
             onMessage(text);
             read();
           } catch (err: any) {
             if (err?.message === 'The user aborted a request.') {
-              return resolve({ responseText, systemPrompt, newChatId });
+              return resolve({ responseText, newChatId, quoteLen: 0, systemPrompt: '' });
             }
             reject(typeof err === 'string' ? err : err?.message || '请求异常');
           }

src/api/model.ts

@@ -1,8 +1,7 @@
 import { GET, POST, DELETE, PUT } from './request';
-import type { ModelSchema, ModelDataSchema } from '@/types/mongoSchema';
-import type { ModelUpdateParams, ShareModelItem } from '@/types/model';
+import type { ModelSchema } from '@/types/mongoSchema';
+import type { ModelUpdateParams } from '@/types/model';
 import { RequestPaging } from '../types/index';
-import { Obj2Query } from '@/utils/tools';
 import type { ModelListResponse } from './response/model';
 
 /**
@@ -31,79 +30,13 @@ export const getModelById = (id: string) => GET<ModelSchema>(`/model/detail?mode
 export const putModelById = (id: string, data: ModelUpdateParams) =>
   PUT(`/model/update?modelId=${id}`, data);
 
-/* 模型 data */
-type GetModelDataListProps = RequestPaging & {
-  modelId: string;
-  searchText: string;
-};
-/**
- * 获取模型的知识库数据
- */
-export const getModelDataList = (props: GetModelDataListProps) =>
-  GET(`/model/data/getModelData?${Obj2Query(props)}`);
-
-/**
- * 获取导出数据（不分页）
- */
-export const getExportDataList = (modelId: string) =>
-  GET<[string, string][]>(`/model/data/exportModelData?modelId=${modelId}`);
-
-/**
- * 获取模型正在拆分数据的数量
- */
-export const getModelSplitDataListLen = (modelId: string) =>
-  GET<number>(`/model/data/getSplitData?modelId=${modelId}`);
-
-/**
- * 获取 web 页面内容
- */
-export const getWebContent = (url: string) => POST<string>(`/model/data/fetchingUrlData`, { url });
-
-/**
- * 手动输入数据
- */
-export const postModelDataInput = (data: {
-  modelId: string;
-  data: { a: ModelDataSchema['a']; q: ModelDataSchema['q'] }[];
-}) => POST<number>(`/model/data/pushModelDataInput`, data);
-
-/**
- * 拆分数据
- */
-export const postModelDataSplitData = (data: {
-  modelId: string;
-  chunks: string[];
-  prompt: string;
-  mode: 'qa' | 'subsection';
-}) => POST(`/model/data/splitData`, data);
-
-/**
- * json导入数据
- */
-export const postModelDataCsvData = (modelId: string, data: string[][]) =>
-  POST<number>(`/model/data/pushModelDataCsv`, { modelId, data: data });
-
-/**
- * 更新模型数据
- */
-export const putModelDataById = (data: { dataId: string; a: string; q?: string }) =>
-  PUT('/model/data/putModelData', data);
-/**
- * 删除一条模型数据
- */
-export const delOneModelData = (dataId: string) =>
-  DELETE(`/model/data/delModelDataById?dataId=${dataId}`);
-
 /* 共享市场 */
 /**
  * 获取共享市场模型
  */
 export const getShareModelList = (data: { searchText?: string } & RequestPaging) =>
   POST(`/model/share/getModels`, data);
-/**
- * 获取我收藏的模型
- */
-export const getCollectionModels = () => GET<ShareModelItem[]>(`/model/share/getCollection`);
+
 /**
  * 收藏/取消收藏模型
  */

src/api/plugins/kb.ts

@@ -0,0 +1,73 @@
+import { GET, POST, PUT, DELETE } from '../request';
+import type { KbItemType } from '@/types/plugin';
+import { RequestPaging } from '@/types/index';
+import { SplitTextTypEnum } from '@/constants/plugin';
+import { KbDataItemType } from '@/types/plugin';
+
+export type KbUpdateParams = { id: string; name: string; tags: string; avatar: string };
+
+/* knowledge base */
+export const getKbList = () => GET<KbItemType[]>(`/plugins/kb/list`);
+
+export const getKbById = (id: string) => GET<KbItemType>(`/plugins/kb/detail?id=${id}`);
+
+export const postCreateKb = (data: { name: string }) => POST<string>(`/plugins/kb/create`, data);
+
+export const putKbById = (data: KbUpdateParams) => PUT(`/plugins/kb/update`, data);
+
+export const delKbById = (id: string) => DELETE(`/plugins/kb/delete?id=${id}`);
+
+/* kb data */
+type GetKbDataListProps = RequestPaging & {
+  kbId: string;
+  searchText: string;
+};
+export const getKbDataList = (data: GetKbDataListProps) =>
+  POST(`/plugins/kb/data/getDataList`, data);
+
+/**
+ * 获取导出数据（不分页）
+ */
+export const getExportDataList = (kbId: string) =>
+  GET<[string, string][]>(`/plugins/kb/data/exportModelData?kbId=${kbId}`);
+
+/**
+ * 获取模型正在拆分数据的数量
+ */
+export const getTrainingData = (kbId: string) =>
+  GET<{
+    splitDataQueue: number;
+    embeddingQueue: number;
+  }>(`/plugins/kb/data/getTrainingData?kbId=${kbId}`);
+
+export const getKbDataItemById = (dataId: string) =>
+  GET(`/plugins/kb/data/getDataById`, { dataId });
+
+/**
+ * 直接push数据
+ */
+export const postKbDataFromList = (data: {
+  kbId: string;
+  data: { a: KbDataItemType['a']; q: KbDataItemType['q'] }[];
+}) => POST(`/openapi/kb/pushData`, data);
+
+/**
+ * 更新一条数据
+ */
+export const putKbDataById = (data: { dataId: string; a: string; q?: string }) =>
+  PUT('/openapi/kb/updateData', data);
+/**
+ * 删除一条知识库数据
+ */
+export const delOneKbDataByDataId = (dataId: string) =>
+  DELETE(`/openapi/kb/delDataById?dataId=${dataId}`);
+
+/**
+ * 拆分数据
+ */
+export const postSplitData = (data: {
+  kbId: string;
+  chunks: string[];
+  prompt: string;
+  mode: `${SplitTextTypEnum}`;
+}) => POST(`/openapi/text/splitText`, data);

src/api/request.ts

@@ -1,5 +1,5 @@
 import axios, { Method, InternalAxiosRequestConfig, AxiosResponse } from 'axios';
-import { clearToken } from '@/utils/user';
+import { clearCookie } from '@/utils/user';
 import { TOKEN_ERROR_CODE } from '@/service/errorCode';
 
 interface ConfigType {
@@ -54,13 +54,13 @@ function responseError(err: any) {
   if (typeof err === 'string') {
     return Promise.reject({ message: err });
   }
-  if (err.response) {
-    // 有报错响应
-    const res = err.response;
-    if (res.data.code in TOKEN_ERROR_CODE) {
-      clearToken();
-      return Promise.reject({ message: 'token过期，重新登录' });
-    }
+  // 有报错响应
+  if (err?.code in TOKEN_ERROR_CODE) {
+    clearCookie();
+    window.location.replace(
+      `/login?lastRoute=${encodeURIComponent(location.pathname + location.search)}`
+    );
+    return Promise.reject({ message: 'token过期，重新登录' });
   }
   return Promise.reject(err);
 }

src/api/response/chat.d.ts

@@ -13,3 +13,13 @@ export interface InitChatResponse {
   chatModel: ModelSchema['chat']['chatModel']; // 对话模型名
   history: ChatItemType[];
 }
+
+export interface InitShareChatResponse {
+  maxContext: number;
+  model: {
+    name: string;
+    avatar: string;
+    intro: string;
+  };
+  chatModel: ModelSchema['chat']['chatModel']; // 对话模型名
+}

src/api/system.ts

@@ -0,0 +1,6 @@
+import { GET, POST, PUT } from './request';
+import type { ChatModelItemType } from '@/constants/model';
+
+export const getFilling = () => GET<{ beianText: string }>('/system/getFiling');
+
+export const getSystemModelList = () => GET<ChatModelItemType[]>('/system/getModels');

src/api/user.ts

@@ -2,10 +2,9 @@ import { GET, POST, PUT } from './request';
 import { createHashPassword, Obj2Query } from '@/utils/tools';
 import { ResLogin, PromotionRecordType } from './response/user';
 import { UserAuthTypeEnum } from '@/constants/common';
-import { UserType, UserUpdateParams } from '@/types/user';
+import { UserBillType, UserType, UserUpdateParams } from '@/types/user';
 import type { PagingData, RequestPaging } from '@/types';
-import { BillSchema, PaySchema } from '@/types/mongoSchema';
-import { adaptBill } from '@/utils/adapt';
+import { PaySchema } from '@/types/mongoSchema';
 
 export const sendAuthCode = ({
   username,
@@ -64,13 +63,12 @@ export const postLogin = ({ username, password }: { username: string; password:
     password: createHashPassword(password)
   });
 
+export const loginOut = () => GET('/user/loginout');
+
 export const putUserInfo = (data: UserUpdateParams) => PUT('/user/update', data);
 
 export const getUserBills = (data: RequestPaging) =>
-  GET<PagingData<BillSchema>>(`/user/getBill?${Obj2Query(data)}`).then((res) => ({
-    ...res,
-    data: res.data.map((bill) => adaptBill(bill))
-  }));
+  GET<PagingData<UserBillType>>(`/user/getBill?${Obj2Query(data)}`);
 
 export const getPayOrders = () => GET<PaySchema[]>(`/user/getPayOrders`);
 

src/components/Avatar/index.tsx

@@ -0,0 +1,19 @@
+import React from 'react';
+import { Image } from '@chakra-ui/react';
+import type { ImageProps } from '@chakra-ui/react';
+
+const Avatar = ({ w = '30px', ...props }: ImageProps) => {
+  return (
+    <Image
+      fallbackSrc="/icon/logo.png"
+      borderRadius={'50%'}
+      objectFit={'contain'}
+      alt=""
+      w={w}
+      h={w}
+      {...props}
+    />
+  );
+};
+
+export default Avatar;

src/components/Icon/icons/appStore.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="1684739031957" class="icon" viewBox="0 0 1026 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="4988" xmlns:xlink="http://www.w3.org/1999/xlink" width="64.125" height="64"><path d="M371.732817 94.172314q25.773475 0 44.112294 17.843175t18.338819 43.616651l0 247.821878q0 25.773475-18.338819 44.112294t-44.112294 18.338819l-247.821878 0q-25.773475 0-43.616651-18.338819t-17.843175-44.112294l0-247.821878q0-25.773475 17.843175-43.616651t43.616651-17.843175l247.821878 0zM371.732817 589.81607q25.773475 0 44.112294 17.843175t18.338819 43.616651l0 248.813166q0 25.773475-18.338819 43.616651t-44.112294 17.843175l-247.821878 0q-25.773475 0-43.616651-17.843175t-17.843175-43.616651l0-248.813166q0-25.773475 17.843175-43.616651t43.616651-17.843175l247.821878 0zM868.367861 589.81607q25.773475 0 43.616651 17.843175t17.843175 43.616651l0 248.813166q0 25.773475-17.843175 43.616651t-43.616651 17.843175l-247.821878 0q-25.773475 0-44.112294-17.843175t-18.338819-43.616651l0-248.813166q0-25.773475 18.338819-43.616651t44.112294-17.843175l247.821878 0zM1006.156825 203.21394q19.82575 19.82575 19.82575 46.590513t-19.82575 45.599226l-184.379477 184.379477q-19.82575 19.82575-46.094869 19.82575t-46.094869-19.82575l-184.379477-184.379477q-18.834463-18.834463-18.834463-45.599226t18.834463-46.590513l184.379477-184.379477q19.82575-18.834463 46.094869-18.834463t46.094869 18.834463z" p-id="4989"></path></svg>

src/components/Icon/icons/edit.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="1684826302600" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2244" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M904 512h-56c-4.4 0-8 3.6-8 8v320H184V184h320c4.4 0 8-3.6 8-8v-56c0-4.4-3.6-8-8-8H144c-17.7 0-32 14.3-32 32v736c0 17.7 14.3 32 32 32h736c17.7 0 32-14.3 32-32V520c0-4.4-3.6-8-8-8z" p-id="2245"></path><path d="M355.9 534.9L354 653.8c-0.1 8.9 7.1 16.2 16 16.2h0.4l118-2.9c2-0.1 4-0.9 5.4-2.3l415.9-415c3.1-3.1 3.1-8.2 0-11.3L785.4 114.3c-1.6-1.6-3.6-2.3-5.7-2.3s-4.1 0.8-5.7 2.3l-415.8 415c-1.4 1.5-2.3 3.5-2.3 5.6z m63.5 23.6L779.7 199l45.2 45.1-360.5 359.7-45.7 1.1 0.7-46.4z" p-id="2246"></path></svg>

src/components/Icon/icons/git.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="1684122143852" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2364" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M511.6 76.3C264.3 76.2 64 276.4 64 523.5 64 718.9 189.3 885 363.8 946c23.5 5.9 19.9-10.8 19.9-22.2v-77.5c-135.7 15.9-141.2-73.9-150.3-88.9C215 726 171.5 718 184.5 703c30.9-15.9 62.4 4 98.9 57.9 26.4 39.1 77.9 32.5 104 26 5.7-23.5 17.9-44.5 34.7-60.8-140.6-25.2-199.2-111-199.2-213 0-49.5 16.3-95 48.3-131.7-20.4-60.5 1.9-112.3 4.9-120 58.1-5.2 118.5 41.6 123.2 45.3 33-8.9 70.7-13.6 112.9-13.6 42.4 0 80.2 4.9 113.5 13.9 11.3-8.6 67.3-48.8 121.3-43.9 2.9 7.7 24.7 58.3 5.5 118 32.4 36.8 48.9 82.7 48.9 132.3 0 102.2-59 188.1-200 212.9 23.5 23.2 38.1 55.4 38.1 91v112.5c0.8 9 0 17.9 15 17.9 177.1-59.7 304.6-227 304.6-424.1 0-247.2-200.4-447.3-447.5-447.3z" p-id="2365"></path></svg>

src/components/Icon/icons/kb.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="1684163814302" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="3451" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M512 384c-229.8 0-416-57.3-416-128v256c0 70.7 186.2 128 416 128s416-57.3 416-128V256c0 70.7-186.2 128-416 128z"  p-id="3452"></path><path d="M512 704c-229.8 0-416-57.3-416-128v256c0 70.7 186.2 128 416 128s416-57.3 416-128V576c0 70.7-186.2 128-416 128zM512 320c229.8 0 416-57.3 416-128S741.8 64 512 64 96 121.3 96 192s186.2 128 416 128z"  p-id="3453"></path></svg>

src/components/Icon/icons/menu.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="1684745011703" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1481" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M110.025 252.249c0 13.741 5.456 27.374 14.899 37.112s22.663 15.364 35.987 15.364 26.544-5.626 35.987-15.364c9.441-9.738 14.899-23.371 14.899-37.112s-5.456-27.375-14.899-37.111c-9.442-9.738-22.663-15.364-35.987-15.364s-26.544 5.626-35.987 15.364c-9.338 9.736-14.899 23.37-14.899 37.111m0 0zM103.625 512.575c0 13.741 5.455 27.482 14.899 37.22 9.442 9.738 22.663 15.364 36.091 15.364 13.324 0 26.649-5.626 36.091-15.364s14.899-23.371 14.899-37.22c0-13.741-5.455-27.482-14.899-37.22-9.442-9.738-22.662-15.364-36.091-15.364-13.324 0-26.649 5.626-36.091 15.364-9.444 9.737-14.899 23.37-14.899 37.22m0 0zM103.625 774.089c0 13.741 5.455 27.482 14.899 37.22 9.442 9.738 22.663 15.364 36.091 15.364 13.324 0 26.649-5.626 36.091-15.364s14.899-23.37 14.899-37.22c0-13.741-5.455-27.482-14.899-37.22-9.442-9.737-22.662-15.364-36.091-15.364-13.324 0-26.649 5.627-36.091 15.364-9.444 9.847-14.899 23.479-14.899 37.22m0 0zM919.041 249.869c0 27.699-19.935 50.095-44.59 50.095H345.88c-24.655 0-44.59-22.397-44.59-50.095 0-27.699 19.935-50.095 44.59-50.095h528.571c24.656-0.001 44.59 22.396 44.59 50.095m0 0zM919.041 510.195c0 27.59-19.935 50.095-44.59 50.095H345.88c-24.655 0-44.59-22.398-44.59-50.096 0-27.699 19.935-50.096 44.59-50.096h528.571c24.656-0.109 44.59 22.397 44.59 50.097m0 0zM919.041 771.601c0 27.699-19.935 50.096-44.59 50.096H345.88c-24.655 0-44.59-22.397-44.59-50.096 0-27.591 19.935-49.988 44.59-49.988h528.571c24.656-0.108 44.59 22.397 44.59 49.988m0 0z"  p-id="1482"></path></svg>

src/components/Icon/icons/phoneTabbar/more.svg

@@ -1 +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="1683450447995" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="2005" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M728.99015111 121.90378667h107.92732444V40.96h-107.92732444v80.94378667z m175.38161778 67.45429333v107.92732445H985.31555555v-107.92732445h-80.94378666z m-67.45429334 175.38161778h-107.92732444v80.94378667h107.92732444v-80.94378667z m-175.38161777-67.45429333v-107.92732445h-80.94378667v107.92732445h80.94378667z m67.45429333 67.45429333c-37.23491555 0-67.45429333-30.21937778-67.45429333-67.45429333h-80.94378667c0 81.97006222 66.42801778 148.39808 148.39808 148.39808v-80.94378667z m175.38161778-67.45429333c0 37.23491555-30.21937778 67.45429333-67.45429334 67.45429333v80.94378667c81.97006222 0 148.39808-66.42801778 148.39808-148.39808h-80.94378666zM836.91747555 121.90151111c37.23491555 0 67.45429333 30.21937778 67.45429334 67.45429334H985.31555555C985.31555555 107.38801778 918.88753778 40.96 836.91747555 40.96v80.94378667zM728.99015111 40.96c-81.97006222 0-148.39808 66.42801778-148.39808 148.39808h80.94378667c0-37.23491555 30.21937778-67.45429333 67.45429333-67.45429333V40.96zM189.35808 661.53585778h107.92732445v-80.94378667h-107.92732445v80.94378667z m175.38161778 67.45429333v107.92732444h80.94378667v-107.92732444h-80.94378667z m-67.45429333 175.38161778h-107.92732445V985.31555555h107.92732445v-80.94378666zM121.90151111 836.91747555v-107.92732444H40.96v107.92732444h80.94378667z m67.45429334 67.45429334c-37.23491555 0-67.45429333-30.21937778-67.45429334-67.45429334H40.96C40.96 918.88753778 107.38801778 985.31555555 189.35808 985.31555555v-80.94378666z m175.38161777-67.45429334c0 37.23491555-30.21937778 67.45429333-67.45429333 67.45429334V985.31555555c81.97006222 0 148.39808-66.42801778 148.39808-148.39808h-80.94378667z m-67.45429333-175.38161777c37.23491555 0 67.45429333 30.21937778 67.45429333 67.45429333h80.94378667c0-81.97006222-66.42801778-148.39808-148.39808-148.39808v80.94378667z m-107.92732444-80.94378667C107.38801778 580.59207111 40.96 647.02008889 40.96 728.99015111h80.94378667c0-37.23491555 30.21937778-67.45429333 67.45429333-67.45429333v-80.94378667z m0-458.68828444h107.92732444V40.96h-107.92732444v80.94378667z m175.38161777 67.45429333v107.92732445h80.94378667v-107.92732445h-80.94378667z m-67.45429333 175.38161778h-107.92732444v80.94378667h107.92732444v-80.94378667zM121.90151111 297.28540445v-107.92732445H40.96v107.92732445h80.94378667z m67.45429334 67.45429333c-37.23491555 0-67.45429333-30.21937778-67.45429334-67.45429333H40.96c0 81.97006222 66.42801778 148.39808 148.39808 148.39808v-80.94378667z m175.38161777-67.45429333c0 37.23491555-30.21937778 67.45429333-67.45429333 67.45429333v80.94378667c81.97006222 0 148.39808-66.42801778 148.39808-148.39808h-80.94378667zM297.28540445 121.90151111c37.23491555 0 67.45429333 30.21937778 67.45429333 67.45429334h80.94378667c0-81.97006222-66.42801778-148.39808-148.39808-148.39808v80.94378666zM189.35808 40.96C107.38801778 40.96 40.96 107.38801778 40.96 189.35808h80.94378667c0-37.23491555 30.21937778-67.45429333 67.45429333-67.45429333V40.96z m539.63207111 620.57585778h107.92732444v-80.94378667h-107.92732444v80.94378667z m175.38161778 67.45429333v107.92732444H985.31555555v-107.92732444h-80.94378666z m-67.45429334 175.38161778h-107.92732444V985.31555555h107.92732444v-80.94378666z m-175.38161777-67.45429334v-107.92732444h-80.94378667v107.92732444h80.94378667z m67.45429333 67.45429334c-37.23491555 0-67.45429333-30.21937778-67.45429333-67.45429334h-80.94378667c0 81.97006222 66.42801778 148.39808 148.39808 148.39808v-80.94378666z m175.38161778-67.45429334c0 37.23491555-30.21937778 67.45429333-67.45429334 67.45429334V985.31555555C918.88753778 985.31555555 985.31555555 918.88753778 985.31555555 836.91747555h-80.94378666z m-67.45429334-175.38161777c37.23491555 0 67.45429333 30.21937778 67.45429334 67.45429333H985.31555555c0-81.97006222-66.42801778-148.39808-148.39808-148.39808v80.94378667z m-107.92732444-80.94378667c-81.97006222 0-148.39808 66.42801778-148.39808 148.39808h80.94378667c0-37.23491555 30.21937778-67.45429333 67.45429333-67.45429333v-80.94378667z" p-id="2006"></path></svg>
+<?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="1684739068105" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="7879" xmlns:xlink="http://www.w3.org/1999/xlink" ><path d="M817.87 556.31h-63.58v-66.24A42.27 42.27 0 0 0 712 447.8h-84.81a42.27 42.27 0 0 0-42.27 42.27v66.24H436.57v-66.24a42.27 42.27 0 0 0-42.27-42.27h-84.83a42.27 42.27 0 0 0-42.27 42.27v66.24h-61.83A22.39 22.39 0 0 0 183 578.7a22.39 22.39 0 0 0 22.39 22.39h61.81v65.55a42.27 42.27 0 0 0 42.27 42.27h84.83a42.27 42.27 0 0 0 42.27-42.27v-65.55h148.36v65.55a42.27 42.27 0 0 0 42.27 42.27H712a42.27 42.27 0 0 0 42.27-42.27v-65.55h63.58a22.39 22.39 0 0 0 22.39-22.39 22.39 22.39 0 0 0-22.37-22.39z m-438.64 95.26h-54.69V505.14h54.69z m317.72 0h-54.69V505.14H697z" p-id="7880"></path><path d="M823 202.58h-90.81v-63.09a71.88 71.88 0 0 0-71.88-71.88H363.19a71.88 71.88 0 0 0-71.88 71.88v63.08h-90.12A137.17 137.17 0 0 0 64 339.75v479a137.17 137.17 0 0 0 137.19 137.14H823a137.17 137.17 0 0 0 137.19-137.17v-479A137.17 137.17 0 0 0 823 202.58z m-474.36-54.1A23.52 23.52 0 0 1 372.17 125h279.16a23.52 23.52 0 0 1 23.52 23.52v54.1h-326.2z m554.23 673.31a76.76 76.76 0 0 1-76.76 76.76h-628a76.76 76.76 0 0 1-76.76-76.76V336.67a76.76 76.76 0 0 1 76.76-76.76h628a76.76 76.76 0 0 1 76.76 76.76z" p-id="7881"></path></svg>

src/components/Icon/icons/shareMarket.svg

@@ -1 +0,0 @@
-<?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="1683254591061" class="icon" viewBox="0 0 1024 1024" version="1.1" xmlns="http://www.w3.org/2000/svg" p-id="1213" xmlns:xlink="http://www.w3.org/1999/xlink" width="64" height="64"><path d="M389.5296 650.78613333a204.8 204.8 0 1 1-10.82026667-288.49493333L557.43146667 245.76a153.6 153.6 0 1 1 39.25333333 55.9104l-176.46933333 115.02933333c15.01866667 28.50133333 23.48373333 60.928 23.48373333 95.3344a204.11733333 204.11733333 0 0 1-16.86186667 81.47626667l257.1264 144.62293333a153.6 153.6 0 1 1-30.9248 60.928l-263.54346666-148.24106666z" p-id="1214"></path></svg>

src/components/Icon/index.tsx

@@ -12,7 +12,6 @@ const map = {
   delete: require('./icons/delete.svg').default,
   withdraw: require('./icons/withdraw.svg').default,
   stop: require('./icons/stop.svg').default,
-  shareMarket: require('./icons/shareMarket.svg').default,
   collectionLight: require('./icons/collectionLight.svg').default,
   collectionSolid: require('./icons/collectionSolid.svg').default,
   chat: require('./icons/chat.svg').default,
@@ -25,7 +24,12 @@ const map = {
   tabbarMe: require('./icons/phoneTabbar/me.svg').default,
   closeSolid: require('./icons/closeSolid.svg').default,
   wx: require('./icons/wx.svg').default,
-  out: require('./icons/out.svg').default
+  out: require('./icons/out.svg').default,
+  git: require('./icons/git.svg').default,
+  kb: require('./icons/kb.svg').default,
+  appStore: require('./icons/appStore.svg').default,
+  menu: require('./icons/menu.svg').default,
+  edit: require('./icons/edit.svg').default
 };
 
 export type IconName = keyof typeof map;

src/components/Layout/auth.tsx

@@ -7,7 +7,8 @@ import { useQuery } from '@tanstack/react-query';
 const unAuthPage: { [key: string]: boolean } = {
   '/': true,
   '/login': true,
-  '/model/share': true
+  '/model/share': true,
+  '/chat/share': true
 };
 
 const Auth = ({ children }: { children: JSX.Element }) => {

src/components/Layout/index.tsx

@@ -1,23 +1,34 @@
-import React, { useCallback, useEffect } from 'react';
+import React, { useEffect, useMemo } from 'react';
 import { Box, useColorMode, Flex } from '@chakra-ui/react';
+import { useRouter } from 'next/router';
+import { useLoading } from '@/hooks/useLoading';
+import { useGlobalStore } from '@/store/global';
+import { throttle } from 'lodash';
+import Auth from './auth';
 import Navbar from './navbar';
 import NavbarPhone from './navbarPhone';
-import { useRouter } from 'next/router';
-import { useScreen } from '@/hooks/useScreen';
-import { useLoading } from '@/hooks/useLoading';
-import Auth from './auth';
-import { useGlobalStore } from '@/store/global';
 
 const pcUnShowLayoutRoute: Record<string, boolean> = {
-  '/login': true
+  '/': true,
+  '/login': true,
+  '/chat/share': true
+};
+const phoneUnShowLayoutRoute: Record<string, boolean> = {
+  '/': true,
+  '/login': true,
+  '/chat/share': true
 };
 
-const Layout = ({ children, isPcDevice }: { children: JSX.Element; isPcDevice: boolean }) => {
-  const { isPc } = useScreen({ defaultIsPc: isPcDevice });
+const Layout = ({ children }: { children: JSX.Element }) => {
   const router = useRouter();
   const { colorMode, setColorMode } = useColorMode();
-  const { Loading } = useLoading({ defaultLoading: true });
-  const { loading } = useGlobalStore();
+  const { Loading } = useLoading();
+  const { loading, setScreenWidth, isPc } = useGlobalStore();
+
+  const isChatPage = useMemo(
+    () => router.pathname === '/chat' && Object.values(router.query).join('').length !== 0,
+    [router.pathname, router.query]
+  );
 
   useEffect(() => {
     if (colorMode === 'dark' && router.pathname !== '/chat') {
@@ -25,60 +36,54 @@ const Layout = ({ children, isPcDevice }: { children: JSX.Element; isPcDevice: b
     }
   }, [colorMode, router.pathname, setColorMode]);
 
-  const RenderPc = useCallback(
-    () =>
-      pcUnShowLayoutRoute[router.pathname] ? (
-        <Auth>{children}</Auth>
-      ) : (
-        <>
-          <Box h={'100%'} position={'fixed'} left={0} top={0} w={'60px'}>
-            <Navbar />
-          </Box>
-          <Box h={'100%'} ml={'60px'} overflow={'overlay'}>
-            <Auth>{children}</Auth>
-          </Box>
-        </>
-      ),
-    [children, router.pathname]
-  );
+  useEffect(() => {
+    const resize = throttle(() => {
+      setScreenWidth(document.documentElement.clientWidth);
+    }, 300);
+    resize();
 
-  const RenderPhone = useCallback(() => {
-    const phoneUnShowLayoutRoute: Record<string, boolean> = {
-      '/login': true
+    window.addEventListener('resize', resize);
+
+    return () => {
+      window.removeEventListener('resize', resize);
     };
-
-    const isChatPage =
-      router.pathname === '/chat' && Object.values(router.query).join('').length !== 0;
-
-    if (phoneUnShowLayoutRoute[router.pathname] || isChatPage) {
-      return <Auth>{children}</Auth>;
-    }
-    return (
-      <Flex h={'100%'} flexDirection={'column'}>
-        <Box flex={'1 0 0'} h={0} overflow={'overlay'}>
-          <Auth>{children}</Auth>
-        </Box>
-        <Box h={'50px'} borderTop={'1px solid rgba(0,0,0,0.1)'}>
-          <NavbarPhone />
-        </Box>
-      </Flex>
-    );
-  }, [children, router]);
+  }, [setScreenWidth]);
 
   return (
     <>
-      <Box h={'100%'} overflow={'overlay'} bg={'gray.100'}>
-        {isPc ? <RenderPc /> : <RenderPhone />}
+      <Box
+        h={'100%'}
+        bgGradient={'linear(to-t,rgba(173, 206, 255, 0.05) 0%, rgba(173, 206, 255, 0.12) 100%)'}
+      >
+        {isPc ? (
+          pcUnShowLayoutRoute[router.pathname] ? (
+            <Auth>{children}</Auth>
+          ) : (
+            <>
+              <Box h={'100%'} position={'fixed'} left={0} top={0} w={'60px'}>
+                <Navbar />
+              </Box>
+              <Box h={'100%'} ml={'60px'} overflow={'overlay'}>
+                <Auth>{children}</Auth>
+              </Box>
+            </>
+          )
+        ) : phoneUnShowLayoutRoute[router.pathname] || isChatPage ? (
+          <Auth>{children}</Auth>
+        ) : (
+          <Flex h={'100%'} flexDirection={'column'}>
+            <Box flex={'1 0 0'} h={0} overflow={'overlay'}>
+              <Auth>{children}</Auth>
+            </Box>
+            <Box h={'50px'} borderTop={'1px solid rgba(0,0,0,0.1)'}>
+              <NavbarPhone />
+            </Box>
+          </Flex>
+        )}
       </Box>
-      {loading && <Loading />}
+      <Loading loading={loading} />
     </>
   );
 };
 
 export default Layout;
-
-Layout.getInitialProps = ({ req }: any) => {
-  return {
-    isPcDevice: !/Mobile/.test(req ? req.headers['user-agent'] : navigator.userAgent)
-  };
-};

src/components/Layout/navbar.tsx

@@ -1,9 +1,10 @@
 import React, { useMemo } from 'react';
-import { Box, Flex, Image, Tooltip } from '@chakra-ui/react';
+import { Box, Flex, Tooltip } from '@chakra-ui/react';
 import { useRouter } from 'next/router';
 import MyIcon from '../Icon';
 import { useUserStore } from '@/store/user';
 import { useChatStore } from '@/store/chat';
+import Avatar from '../Avatar';
 
 export enum NavbarTypeEnum {
   normal = 'normal',
@@ -16,22 +17,27 @@ const Navbar = () => {
   const { lastChatModelId, lastChatId } = useChatStore();
   const navbarList = useMemo(
     () => [
-      {
-        label: 'AI助手',
-        icon: 'model',
-        link: `/model?modelId=${lastModelId}`,
-        activeLink: ['/model']
-      },
       {
         label: '聊天',
         icon: 'chat',
         link: `/chat?modelId=${lastChatModelId}&chatId=${lastChatId}`,
         activeLink: ['/chat']
       },
-
       {
-        label: '共享',
-        icon: 'shareMarket',
+        label: '我的应用',
+        icon: 'model',
+        link: `/model?modelId=${lastModelId}`,
+        activeLink: ['/model']
+      },
+      {
+        label: '知识库',
+        icon: 'kb',
+        link: `/kb`,
+        activeLink: ['/kb']
+      },
+      {
+        label: '应用市场',
+        icon: 'appStore',
         link: '/model/share',
         activeLink: ['/model/share']
       },
@@ -77,13 +83,7 @@ const Navbar = () => {
         cursor={'pointer'}
         onClick={() => router.push('/number')}
       >
-        <Image
-          src={userInfo?.avatar || '/icon/human.png'}
-          objectFit={'contain'}
-          w={'36px'}
-          h={'36px'}
-          alt=""
-        />
+        <Avatar w={'36px'} h={'36px'} src={userInfo?.avatar} fallbackSrc={'/icon/human.png'} />
       </Box>
       {/* 导航列表 */}
       <Box flex={1}>
@@ -102,9 +102,7 @@ const Navbar = () => {
               justifyContent={'center'}
               onClick={() => {
                 if (item.link === router.asPath) return;
-                router.push(item.link, undefined, {
-                  shallow: true
-                });
+                router.push(item.link);
               }}
               cursor={'pointer'}
               w={'60px'}
@@ -127,6 +125,24 @@ const Navbar = () => {
           </Tooltip>
         ))}
       </Box>
+      <Box>
+        <Flex
+          mb={3}
+          flexDirection={'column'}
+          alignItems={'center'}
+          justifyContent={'center'}
+          cursor={'pointer'}
+          w={'60px'}
+          h={'45px'}
+          color={'#9096a5'}
+          _hover={{
+            color: '#ffffff'
+          }}
+          onClick={() => window.open('https://github.com/c121914yu/FastGPT')}
+        >
+          <MyIcon name={'git'} width={'22px'} height={'22px'} />
+        </Flex>
+      </Box>
     </Flex>
   );
 };

src/components/Layout/navbarPhone.tsx

@@ -10,25 +10,21 @@ const NavbarPhone = () => {
   const navbarList = useMemo(
     () => [
       {
-        label: 'AI助手',
-        icon: 'tabbarModel',
-        link: `/model`,
-        activeLink: ['/model']
-      },
-      {
-        label: '聊天',
         icon: 'tabbarChat',
         link: `/chat?modelId=${lastChatModelId}&chatId=${lastChatId}`,
         activeLink: ['/chat']
       },
       {
-        label: '发现',
+        icon: 'tabbarModel',
+        link: `/model`,
+        activeLink: ['/model']
+      },
+      {
         icon: 'tabbarMore',
         link: '/tools',
         activeLink: ['/tools']
       },
       {
-        label: '我',
         icon: 'tabbarMe',
         link: '/number',
         activeLink: ['/number']

src/components/Loading/index.tsx

@@ -0,0 +1,22 @@
+import React from 'react';
+import { Spinner, Flex } from '@chakra-ui/react';
+
+const Loading = ({ fixed = true }: { fixed?: boolean }) => {
+  return (
+    <Flex
+      position={fixed ? 'fixed' : 'absolute'}
+      zIndex={1000}
+      backgroundColor={'rgba(255,255,255,0.5)'}
+      top={0}
+      left={0}
+      right={0}
+      bottom={0}
+      alignItems={'center'}
+      justifyContent={'center'}
+    >
+      <Spinner thickness="4px" speed="0.65s" emptyColor="gray.200" color="myBlue.500" size="xl" />
+    </Flex>
+  );
+};
+
+export default Loading;

src/components/Markdown/index.module.scss

@@ -337,10 +337,13 @@
 }
 .markdown {
   text-align: justify;
-  overflow-y: hidden;
   tab-size: 4;
   word-spacing: normal;
-  word-break: break-all;
+  width: 100%;
+
+  * {
+    word-break: break-all;
+  }
 
   p {
     white-space: pre-line;
@@ -353,13 +356,13 @@
     margin: 0;
     border: none;
     border-radius: 0;
-    background-color: #222 !important;
+    background-color: #292b33 !important;
     overflow-x: auto;
     color: #fff;
   }
 
   pre code {
-    background-color: #222 !important;
+    background-color: #292b33 !important;
     width: 100%;
   }
 

src/components/Markdown/index.tsx

@@ -1,8 +1,8 @@
-import React, { memo } from 'react';
+import React, { memo, useMemo } from 'react';
 import ReactMarkdown from 'react-markdown';
 import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter';
 import { Box, Flex, useColorModeValue } from '@chakra-ui/react';
-import { useCopyData } from '@/utils/tools';
+import { useCopyData, formatLinkText } from '@/utils/tools';
 import Icon from '@/components/Icon';
 import remarkGfm from 'remark-gfm';
 import remarkMath from 'remark-math';
@@ -12,9 +12,21 @@ import 'katex/dist/katex.min.css';
 import styles from './index.module.scss';
 import { codeLight } from './codeLight';
 
-const Markdown = ({ source, isChatting = false }: { source: string; isChatting?: boolean }) => {
+const Markdown = ({
+  source,
+  isChatting = false,
+  formatLink
+}: {
+  source: string;
+  formatLink?: boolean;
+  isChatting?: boolean;
+}) => {
   const { copyData } = useCopyData();
 
+  const formatSource = useMemo(() => {
+    return formatLink ? formatLinkText(source) : source;
+  }, [source, formatLink]);
+
   return (
     <ReactMarkdown
       className={`markdown ${styles.markdown} ${
@@ -29,7 +41,7 @@ const Markdown = ({ source, isChatting = false }: { source: string; isChatting?:
           const code = String(children);
 
           return !inline || match ? (
-            <Box my={3} borderRadius={'md'} overflow={'hidden'} backgroundColor={'#222'}>
+            <Box my={3} borderRadius={'md'} overflow={'overlay'} backgroundColor={'#222'}>
               <Flex
                 className="code-header"
                 py={2}
@@ -63,7 +75,7 @@ const Markdown = ({ source, isChatting = false }: { source: string; isChatting?:
       }}
       linkTarget="_blank"
     >
-      {source}
+      {formatSource}
     </ReactMarkdown>
   );
 };

src/components/SideBar/index.tsx

@@ -0,0 +1,67 @@
+import React, { useState } from 'react';
+import { Box, Flex } from '@chakra-ui/react';
+import type { BoxProps } from '@chakra-ui/react';
+import MyIcon from '../Icon';
+
+interface Props extends BoxProps {}
+
+const SideBar = (e?: Props) => {
+  const {
+    w = ['100%', '0 0 250px', '0 0 280px', '0 0 310px', '0 0 340px'],
+    children,
+    ...props
+  } = e || {};
+
+  const [foldSideBar, setFoldSideBar] = useState(false);
+  return (
+    <Box
+      position={'relative'}
+      flex={foldSideBar ? '0 0 0' : w}
+      w={['100%', 0]}
+      h={'100%'}
+      zIndex={1}
+      transition={'0.2s'}
+      _hover={{
+        '& > div': { visibility: 'visible', opacity: 1 }
+      }}
+      {...props}
+    >
+      <Flex
+        position={'absolute'}
+        right={0}
+        top={'50%'}
+        transform={'translate(50%,-50%)'}
+        alignItems={'center'}
+        justifyContent={'flex-end'}
+        pr={1}
+        w={'36px'}
+        h={'50px'}
+        borderRadius={'10px'}
+        bg={'rgba(0,0,0,0.5)'}
+        cursor={'pointer'}
+        transition={'0.2s'}
+        {...(foldSideBar
+          ? {
+              opacity: 0.6
+            }
+          : {
+              visibility: 'hidden',
+              opacity: 0
+            })}
+        onClick={() => setFoldSideBar(!foldSideBar)}
+      >
+        <MyIcon
+          name={'back'}
+          transform={foldSideBar ? 'rotate(180deg)' : ''}
+          w={'14px'}
+          color={'white'}
+        />
+      </Flex>
+      <Box position={'relative'} h={'100%'} overflow={foldSideBar ? 'hidden' : 'visible'}>
+        {children}
+      </Box>
+    </Box>
+  );
+};
+
+export default SideBar;

src/components/WxConcat/index.tsx

@@ -23,7 +23,7 @@ const WxConcat = ({ onClose }: { onClose: () => void }) => {
         <ModalBody textAlign={'center'}>
           <Image
             style={{ margin: 'auto' }}
-            src={'/imgs/wx300.jpg'}
+            src={'https://otnvvf-imgs.oss.laf.run/wx300.jpg'}
             width={'200px'}
             height={'200px'}
             alt=""

src/constants/chat.ts

@@ -1,5 +1,6 @@
-export const SYSTEM_PROMPT_HEADER = 'System-Prompt-Header';
-export const NEW_CHATID_HEADER = 'Chat-Id-Header';
+export const NEW_CHATID_HEADER = 'response-new-chat-id';
+export const QUOTE_LEN_HEADER = 'response-quote-len';
+export const GUIDE_PROMPT_HEADER = 'response-guide-prompt';
 
 export enum ChatRoleEnum {
   System = 'System',

src/constants/kb.ts

@@ -0,0 +1,11 @@
+import type { KbItemType } from '@/types/plugin';
+
+export const defaultKbDetail: KbItemType = {
+  _id: '',
+  userId: '',
+  updateTime: new Date(),
+  avatar: '/icon/logo.png',
+  name: '',
+  tags: '',
+  totalData: 0
+};

src/constants/model.ts

@@ -1,3 +1,5 @@
+import { getSystemModelList } from '@/api/system';
+import type { ShareChatEditType } from '@/types/model';
 import type { ModelSchema } from '@/types/mongoSchema';
 
 export const embeddingModel = 'text-embedding-ada-002';
@@ -28,40 +30,45 @@ export const ChatModelMap = {
     chatModel: OpenAiChatEnum.GPT35,
     name: 'ChatGpt',
     contextMaxToken: 4096,
-    systemMaxToken: 2500,
-    maxTemperature: 1.5,
-    price: 3
+    systemMaxToken: 2400,
+    maxTemperature: 1.2,
+    price: 2.5
   },
   [OpenAiChatEnum.GPT4]: {
     chatModel: OpenAiChatEnum.GPT4,
     name: 'Gpt4',
     contextMaxToken: 8000,
-    systemMaxToken: 3500,
-    maxTemperature: 1.5,
-    price: 30
+    systemMaxToken: 3000,
+    maxTemperature: 1.2,
+    price: 50
   },
   [OpenAiChatEnum.GPT432k]: {
     chatModel: OpenAiChatEnum.GPT432k,
     name: 'Gpt4-32k',
     contextMaxToken: 32000,
-    systemMaxToken: 6000,
-    maxTemperature: 1.5,
-    price: 30
+    systemMaxToken: 3000,
+    maxTemperature: 1.2,
+    price: 90
   },
   [ClaudeEnum.Claude]: {
     chatModel: ClaudeEnum.Claude,
     name: 'Claude(免费体验)',
     contextMaxToken: 9000,
-    systemMaxToken: 2500,
+    systemMaxToken: 2400,
     maxTemperature: 1,
     price: 0
   }
 };
 
-export const chatModelList: ChatModelItemType[] = [
-  ChatModelMap[OpenAiChatEnum.GPT35],
-  ChatModelMap[ClaudeEnum.Claude]
-];
+let chatModelList: ChatModelItemType[] = [];
+export const getChatModelList = async () => {
+  if (chatModelList.length > 0) {
+    return chatModelList;
+  }
+  const list = await getSystemModelList();
+  chatModelList = list;
+  return list;
+};
 
 export enum ModelStatusEnum {
   running = 'running',
@@ -115,15 +122,15 @@ export const ModelVectorSearchModeMap: Record<
 > = {
   [ModelVectorSearchModeEnum.hightSimilarity]: {
     text: '高相似度, 无匹配时拒绝回复',
-    similarity: 0.2
+    similarity: 0.18
   },
   [ModelVectorSearchModeEnum.noContext]: {
     text: '高相似度，无匹配时直接回复',
-    similarity: 0.2
+    similarity: 0.18
   },
   [ModelVectorSearchModeEnum.lowSimilarity]: {
     text: '低相似度匹配',
-    similarity: 0.8
+    similarity: 0.7
   }
 };
 
@@ -135,7 +142,7 @@ export const defaultModel: ModelSchema = {
   status: ModelStatusEnum.pending,
   updateTime: Date.now(),
   chat: {
-    useKb: false,
+    relatedKbs: [],
     searchMode: ModelVectorSearchModeEnum.hightSimilarity,
     systemPrompt: '',
     temperature: 0,
@@ -146,12 +153,11 @@ export const defaultModel: ModelSchema = {
     isShareDetail: false,
     intro: '',
     collection: 0
-  },
-  security: {
-    domain: ['*'],
-    contextMaxLen: 1,
-    contentMaxLen: 1,
-    expiredTime: 9999,
-    maxLoadAmount: 1
   }
 };
+
+export const defaultShareChat: ShareChatEditType = {
+  name: '',
+  password: '',
+  maxContext: 5
+};

src/constants/plugin.ts

@@ -0,0 +1,14 @@
+export enum SplitTextTypEnum {
+  'qa' = 'qa',
+  'subsection' = 'subsection'
+}
+
+export enum PluginTypeEnum {
+  LLM = 'LLM',
+  Text = 'Text',
+  Function = 'Function'
+}
+
+export enum PluginParamsTypeEnum {
+  'Text' = 'text'
+}

src/constants/theme.ts

@@ -1,6 +1,6 @@
 import { extendTheme, defineStyleConfig, ComponentStyleConfig } from '@chakra-ui/react';
 // @ts-ignore
-import { modalAnatomy, switchAnatomy, selectAnatomy } from '@chakra-ui/anatomy';
+import { modalAnatomy, switchAnatomy, selectAnatomy, checkboxAnatomy } from '@chakra-ui/anatomy';
 // @ts-ignore
 import { createMultiStyleConfigHelpers } from '@chakra-ui/styled-system';
 
@@ -11,6 +11,8 @@ const { definePartsStyle: switchPart, defineMultiStyleConfig: switchMultiStyle }
   createMultiStyleConfigHelpers(switchAnatomy.keys);
 const { definePartsStyle: selectPart, defineMultiStyleConfig: selectMultiStyle } =
   createMultiStyleConfigHelpers(selectAnatomy.keys);
+const { definePartsStyle: checkboxPart, defineMultiStyleConfig: checkboxMultiStyle } =
+  createMultiStyleConfigHelpers(checkboxAnatomy.keys);
 
 // modal 弹窗
 const ModalTheme = defineMultiStyleConfig({
@@ -171,6 +173,9 @@ export const theme = extendTheme({
         fontWeight: 400,
         height: '100%',
         overflow: 'hidden'
+      },
+      a: {
+        color: 'myBlue.700'
       }
     }
   },
@@ -221,8 +226,8 @@ export const theme = extendTheme({
     sm: '900px',
     md: '1200px',
     lg: '1500px',
-    xl: '1800',
-    '2xl': '2100'
+    xl: '1800px',
+    '2xl': '2100px'
   },
   components: {
     Modal: ModalTheme,

src/constants/user.ts

@@ -1,8 +1,7 @@
 export enum BillTypeEnum {
   chat = 'chat',
-  splitData = 'splitData',
+  openapiChat = 'openapiChat',
   QA = 'QA',
-  abstract = 'abstract',
   vector = 'vector',
   return = 'return'
 }
@@ -14,9 +13,8 @@ export enum PageTypeEnum {
 
 export const BillTypeMap: Record<`${BillTypeEnum}`, string> = {
   [BillTypeEnum.chat]: '对话',
-  [BillTypeEnum.splitData]: 'QA拆分',
+  [BillTypeEnum.openapiChat]: 'api 对话',
   [BillTypeEnum.QA]: 'QA拆分',
-  [BillTypeEnum.abstract]: '摘要总结',
   [BillTypeEnum.vector]: '索引生成',
   [BillTypeEnum.return]: '退款'
 };
@@ -29,6 +27,6 @@ export enum PromotionEnum {
 
 export const PromotionTypeMap = {
   [PromotionEnum.invite]: '好友充值',
-  [PromotionEnum.shareModel]: 'AI助手分享',
+  [PromotionEnum.shareModel]: '应用分享',
   [PromotionEnum.withdraw]: '提现'
 };

src/hooks/useLoading.tsx

@@ -1,32 +1,12 @@
 import { useState, useCallback } from 'react';
-import { Spinner, Flex } from '@chakra-ui/react';
+import LoadingComponent from '@/components/Loading';
 
 export const useLoading = (props?: { defaultLoading: boolean }) => {
   const [isLoading, setIsLoading] = useState(props?.defaultLoading || false);
 
   const Loading = useCallback(
     ({ loading, fixed = true }: { loading?: boolean; fixed?: boolean }): JSX.Element | null => {
-      return isLoading || loading ? (
-        <Flex
-          position={fixed ? 'fixed' : 'absolute'}
-          zIndex={100}
-          backgroundColor={'rgba(255,255,255,0.5)'}
-          top={0}
-          left={0}
-          right={0}
-          bottom={0}
-          alignItems={'center'}
-          justifyContent={'center'}
-        >
-          <Spinner
-            thickness="4px"
-            speed="0.65s"
-            emptyColor="gray.200"
-            color="myBlue.500"
-            size="xl"
-          />
-        </Flex>
-      ) : null;
+      return isLoading || loading ? <LoadingComponent fixed={fixed} /> : null;
     },
     [isLoading]
   );

src/hooks/usePagination.tsx

@@ -4,7 +4,6 @@ import { IconButton, Flex, Box, Input } from '@chakra-ui/react';
 import { ArrowBackIcon, ArrowForwardIcon } from '@chakra-ui/icons';
 import { useMutation } from '@tanstack/react-query';
 import { useToast } from './useToast';
-import { useQuery } from '@tanstack/react-query';
 
 export const usePagination = <T = any,>({
   api,
@@ -41,6 +40,7 @@ export const usePagination = <T = any,>({
         });
         console.log(error);
       }
+      return null;
     }
   });
 

src/hooks/useTabs.tsx

@@ -1,18 +0,0 @@
-import React, { useState, useCallback, useRef } from 'react';
-
-export const useTabs = ({
-  tabs = []
-}: {
-  tabs: {
-    id: string;
-    label: string;
-  }[];
-}) => {
-  const [activeTab, setActiveTab] = useState(tabs[0].id);
-
-  return {
-    tabs,
-    activeTab,
-    setActiveTab
-  };
-};

src/pages/_app.tsx

@@ -45,15 +45,17 @@ export default function App({ Component, pageProps }: AppProps) {
       <Head>
         <title>Fast GPT</title>
         <meta name="description" content="Generated by Fast GPT" />
+
         <meta
           name="viewport"
-          content="width=device-width, initial-scale=1.0, maximum-scale=1.0, user-scalable=0"
+          content="width=device-width,initial-scale=1.0,maximum-scale=1.0,minimum-scale=1.0,user-scalable=no, viewport-fit=cover"
         />
         <link rel="icon" href="/favicon.ico" />
       </Head>
       <Script src="/js/qrcode.min.js" strategy="lazyOnload"></Script>
       <Script src="/js/pdf.js" strategy="lazyOnload"></Script>
       <Script src="/js/html2pdf.bundle.min.js" strategy="lazyOnload"></Script>
+      <Script src="/js/particles.js"></Script>
       <QueryClientProvider client={queryClient}>
         <ChakraProvider theme={theme}>
           <ColorModeScript initialColorMode={theme.config.initialColorMode} />

src/pages/_error.tsx

@@ -1,15 +1,12 @@
-function Error({ statusCode }: { statusCode: number }) {
-  return (
-    <p>
-      {statusCode ? `An error ${statusCode} occurred on server` : 'An error occurred on client'}
-    </p>
-  );
+function Error({ errStr }: { errStr: string }) {
+  return <p>{errStr}</p>;
 }
 
 Error.getInitialProps = ({ res, err }: { res: any; err: any }) => {
-  const statusCode = res ? res.statusCode : err ? err.statusCode : 404;
   console.log(err);
-  return { statusCode };
+  return {
+    errStr: `部分系统不兼容，导致页面崩溃。如果可以，请联系作者，反馈下具体操作和页面。大部分是 苹果 的 safari 浏览器导致，可以尝试更换 chrome 浏览器。`
+  };
 };
 
 export default Error;

src/pages/api/chat/chat.ts

@@ -2,36 +2,34 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { connectToDatabase } from '@/service/mongo';
 import { authChat } from '@/service/utils/auth';
 import { modelServiceToolMap } from '@/service/utils/chat';
-import { ChatItemSimpleType } from '@/types/chat';
+import { ChatItemType } from '@/types/chat';
 import { jsonRes } from '@/service/response';
-import { PassThrough } from 'stream';
 import { ChatModelMap, ModelVectorSearchModeMap } from '@/constants/model';
 import { pushChatBill } from '@/service/events/pushBill';
 import { resStreamResponse } from '@/service/utils/chat';
-import { searchKb } from '@/service/plugins/searchKb';
-import { ChatRoleEnum } from '@/constants/chat';
+import { appKbSearch } from '../openapi/kb/appKbSearch';
+import { ChatRoleEnum, QUOTE_LEN_HEADER, GUIDE_PROMPT_HEADER } from '@/constants/chat';
+import { BillTypeEnum } from '@/constants/user';
+import { sensitiveCheck } from '@/service/api/text';
+import { NEW_CHATID_HEADER } from '@/constants/chat';
+import { saveChat } from './saveChat';
+import { Types } from 'mongoose';
 
 /* 发送提示词 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  let step = 0; // step=1时，表示开始了流响应
-  const stream = new PassThrough();
-  stream.on('error', () => {
-    console.log('error: ', 'stream error');
-    stream.destroy();
-  });
   res.on('close', () => {
-    stream.destroy();
+    res.end();
   });
   res.on('error', () => {
     console.log('error: ', 'request error');
-    stream.destroy();
+    res.end();
   });
 
   try {
     const { chatId, prompt, modelId } = req.body as {
-      prompt: ChatItemSimpleType;
+      prompt: [ChatItemType, ChatItemType];
       modelId: string;
-      chatId: '' | string;
+      chatId?: string;
     };
 
     if (!modelId || !prompt) {
@@ -51,82 +49,143 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     const modelConstantsData = ChatModelMap[model.chat.chatModel];
 
     // 读取对话内容
-    const prompts = [...content, prompt];
+    const prompts = [...content, prompt[0]];
+    const {
+      code = 200,
+      systemPrompts = [],
+      quote = [],
+      guidePrompt = ''
+    } = await (async () => {
+      // 使用了知识库搜索
+      if (model.chat.relatedKbs.length > 0) {
+        const { code, searchPrompts, rawSearch, guidePrompt } = await appKbSearch({
+          model,
+          userId,
+          prompts,
+          similarity: ModelVectorSearchModeMap[model.chat.searchMode]?.similarity
+        });
 
-    // 使用了知识库搜索
-    if (model.chat.useKb) {
-      const { code, searchPrompt } = await searchKb({
-        userOpenAiKey,
-        prompts,
-        similarity: ModelVectorSearchModeMap[model.chat.searchMode]?.similarity,
-        model,
+        return {
+          code,
+          quote: rawSearch,
+          systemPrompts: searchPrompts,
+          guidePrompt
+        };
+      }
+      if (model.chat.systemPrompt) {
+        return {
+          guidePrompt: model.chat.systemPrompt,
+          systemPrompts: [
+            {
+              obj: ChatRoleEnum.System,
+              value: model.chat.systemPrompt
+            }
+          ]
+        };
+      }
+      return {};
+    })();
+
+    // get conversationId. create a newId if it is null
+    const conversationId = chatId || String(new Types.ObjectId());
+    !chatId && res.setHeader(NEW_CHATID_HEADER, conversationId);
+    if (showModelDetail) {
+      guidePrompt && res.setHeader(GUIDE_PROMPT_HEADER, encodeURIComponent(guidePrompt));
+      res.setHeader(QUOTE_LEN_HEADER, quote.length);
+    }
+
+    // search result is empty
+    if (code === 201) {
+      const response = systemPrompts[0]?.value;
+      await saveChat({
+        chatId,
+        newChatId: conversationId,
+        modelId,
+        prompts: [
+          prompt[0],
+          {
+            ...prompt[1],
+            quote: [],
+            value: response
+          }
+        ],
         userId
       });
-
-      // search result is empty
-      if (code === 201) {
-        return res.send(searchPrompt?.value);
-      }
-
-      searchPrompt && prompts.unshift(searchPrompt);
-    } else {
-      // 没有用知识库搜索，仅用系统提示词
-      model.chat.systemPrompt &&
-        prompts.unshift({
-          obj: ChatRoleEnum.System,
-          value: model.chat.systemPrompt
-        });
+      return res.end(response);
     }
 
+    prompts.splice(prompts.length - 3, 0, ...systemPrompts);
+
+    // content check
+    await sensitiveCheck({
+      input: [...systemPrompts, prompt[0]].map((item) => item.value).join('')
+    });
+
     // 计算温度
     const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
       2
     );
 
-    // 发出请求
+    // 发出 chat 请求
     const { streamResponse } = await modelServiceToolMap[model.chat.chatModel].chatCompletion({
       apiKey: userOpenAiKey || systemAuthKey,
       temperature: +temperature,
       messages: prompts,
       stream: true,
       res,
-      chatId
+      chatId: conversationId
     });
 
     console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
 
-    step = 1;
+    if (res.closed) return res.end();
 
-    const { totalTokens, finishMessages } = await resStreamResponse({
-      model: model.chat.chatModel,
-      res,
-      stream,
-      chatResponse: streamResponse,
-      prompts,
-      systemPrompt:
-        showModelDetail && prompts[0].obj === ChatRoleEnum.System ? prompts[0].value : ''
-    });
-
-    // 只有使用平台的 key 才计费
-    pushChatBill({
-      isPay: !userOpenAiKey,
-      chatModel: model.chat.chatModel,
-      userId,
-      chatId,
-      textLen: finishMessages.map((item) => item.value).join('').length,
-      tokens: totalTokens
-    });
-  } catch (err: any) {
-    if (step === 1) {
-      // 直接结束流
-      console.log('error，结束');
-      stream.destroy();
-    } else {
-      res.status(500);
-      jsonRes(res, {
-        code: 500,
-        error: err
+    try {
+      const { totalTokens, finishMessages, responseContent } = await resStreamResponse({
+        model: model.chat.chatModel,
+        res,
+        chatResponse: streamResponse,
+        prompts
       });
+
+      // save chat
+      await saveChat({
+        chatId,
+        newChatId: conversationId,
+        modelId,
+        prompts: [
+          prompt[0],
+          {
+            ...prompt[1],
+            value: responseContent,
+            quote: showModelDetail ? quote : [],
+            systemPrompt: showModelDetail ? guidePrompt : ''
+          }
+        ],
+        userId
+      });
+
+      res.end();
+
+      // 只有使用平台的 key 才计费
+      pushChatBill({
+        isPay: !userOpenAiKey,
+        chatModel: model.chat.chatModel,
+        userId,
+        chatId: conversationId,
+        textLen: finishMessages.map((item) => item.value).join('').length,
+        tokens: totalTokens,
+        type: BillTypeEnum.chat
+      });
+    } catch (error) {
+      res.end();
+      console.log('error，结束', error);
     }
+  } catch (err: any) {
+    res.status(500);
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
   }
 }

src/pages/api/chat/delChatRecordByContentId.ts

@@ -1,7 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, Chat } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
+import { authUser } from '@/service/utils/auth';
 
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
@@ -14,7 +14,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     await connectToDatabase();
 
     // 凭证校验
-    const userId = await authToken(req);
+    const { userId } = await authUser({ req, authToken: true });
 
     const chatRecord = await Chat.findById(chatId);
 

src/pages/api/chat/getHistory.ts

@@ -1,12 +1,12 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, Chat } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
+import { authUser } from '@/service/utils/auth';
 
 /* 获取历史记录 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
-    const userId = await authToken(req);
+    const { userId } = await authUser({ req, authToken: true });
 
     await connectToDatabase();
 

src/pages/api/chat/getHistoryQuote.ts

@@ -0,0 +1,49 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Chat } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
+import { Types } from 'mongoose';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { chatId, historyId } = req.query as { chatId: string; historyId: string };
+    await connectToDatabase();
+
+    const { userId } = await authUser({ req, authToken: true });
+
+    if (!chatId || !historyId) {
+      throw new Error('params is error');
+    }
+
+    const history = await Chat.aggregate([
+      {
+        $match: {
+          _id: new Types.ObjectId(chatId),
+          userId: new Types.ObjectId(userId)
+        }
+      },
+      {
+        $unwind: '$content'
+      },
+      {
+        $match: {
+          'content._id': new Types.ObjectId(historyId)
+        }
+      },
+      {
+        $project: {
+          quote: '$content.quote'
+        }
+      }
+    ]);
+
+    jsonRes(res, {
+      data: history[0]?.quote || []
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/init.ts

@@ -2,7 +2,7 @@ import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, Chat, Model } from '@/service/mongo';
 import type { InitChatResponse } from '@/api/response/chat';
-import { authToken } from '@/service/utils/auth';
+import { authUser } from '@/service/utils/auth';
 import { ChatItemType } from '@/types/chat';
 import { authModel } from '@/service/utils/auth';
 import mongoose from 'mongoose';
@@ -12,7 +12,7 @@ import type { ModelSchema } from '@/types/mongoSchema';
 /* 初始化我的聊天框，需要身份验证 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
-    const userId = await authToken(req);
+    const { userId } = await authUser({ req, authToken: true });
 
     let { modelId, chatId } = req.query as { modelId: '' | string; chatId: '' | string };
 
@@ -25,7 +25,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
       const myModel = await Model.findOne({ userId });
       if (!myModel) {
         const { _id } = await Model.create({
-          name: 'AI助手1',
+          name: '应用1',
           userId,
           status: ModelStatusEnum.running
         });
@@ -73,7 +73,8 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
             _id: '$content._id',
             obj: '$content.obj',
             value: '$content.value',
-            systemPrompt: '$content.systemPrompt'
+            systemPrompt: '$content.systemPrompt',
+            quoteLen: { $size: { $ifNull: ['$content.quote', []] } }
           }
         }
       ]);

src/pages/api/chat/removeHistory.ts

@@ -1,13 +1,13 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase, Chat } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
+import { authUser } from '@/service/utils/auth';
 
 /* 获取历史记录 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
     const { id } = req.query;
-    const userId = await authToken(req);
+    const { userId } = await authUser({ req, authToken: true });
 
     await connectToDatabase();
 

src/pages/api/chat/saveChat.ts

@@ -3,62 +3,38 @@ import { jsonRes } from '@/service/response';
 import { ChatItemType } from '@/types/chat';
 import { connectToDatabase, Chat } from '@/service/mongo';
 import { authModel } from '@/service/utils/auth';
-import { authToken } from '@/service/utils/auth';
+import { authUser } from '@/service/utils/auth';
 import mongoose from 'mongoose';
 
+type Props = {
+  newChatId?: string;
+  chatId?: string;
+  modelId: string;
+  prompts: [ChatItemType, ChatItemType];
+};
+
 /* 聊天内容存存储 */
 export default async function handler(req: NextApiRequest, res: NextApiResponse) {
   try {
-    const { chatId, modelId, prompts, newChatId } = req.body as {
-      newChatId: '' | string;
-      chatId: '' | string;
-      modelId: string;
-      prompts: ChatItemType[];
-    };
+    const { chatId, modelId, prompts, newChatId } = req.body as Props;
 
     if (!prompts) {
       throw new Error('缺少参数');
     }
 
-    const userId = await authToken(req);
+    const { userId } = await authUser({ req, authToken: true });
 
-    await connectToDatabase();
+    const nId = await saveChat({
+      chatId,
+      modelId,
+      prompts,
+      newChatId,
+      userId
+    });
 
-    const content = prompts.map((item) => ({
-      _id: new mongoose.Types.ObjectId(item._id),
-      obj: item.obj,
-      value: item.value,
-      systemPrompt: item.systemPrompt
-    }));
-
-    await authModel({ modelId, userId, authOwner: false });
-
-    // 没有 chatId, 创建一个对话
-    if (!chatId) {
-      const { _id } = await Chat.create({
-        _id: newChatId ? new mongoose.Types.ObjectId(newChatId) : undefined,
-        userId,
-        modelId,
-        content,
-        title: content[0].value.slice(0, 20),
-        latestChat: content[content.length - 1].value
-      });
-      return jsonRes(res, {
-        data: _id
-      });
-    } else {
-      // 已经有记录，追加入库
-      await Chat.findByIdAndUpdate(chatId, {
-        $push: {
-          content: {
-            $each: content
-          }
-        },
-        updateTime: new Date(),
-        latestChat: content[content.length - 1].value
-      });
-    }
-    jsonRes(res);
+    jsonRes(res, {
+      data: nId
+    });
   } catch (err) {
     jsonRes(res, {
       code: 500,
@@ -66,3 +42,47 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
     });
   }
 }
+
+export async function saveChat({
+  chatId,
+  newChatId,
+  modelId,
+  prompts,
+  userId
+}: Props & { userId: string }) {
+  await connectToDatabase();
+  await authModel({ modelId, userId, authOwner: false });
+
+  const content = prompts.map((item) => ({
+    _id: item._id ? new mongoose.Types.ObjectId(item._id) : undefined,
+    obj: item.obj,
+    value: item.value,
+    systemPrompt: item.systemPrompt,
+    quote: item.quote || []
+  }));
+
+  // 没有 chatId, 创建一个对话
+  if (!chatId) {
+    const { _id } = await Chat.create({
+      _id: newChatId ? new mongoose.Types.ObjectId(newChatId) : undefined,
+      userId,
+      modelId,
+      content,
+      title: content[0].value.slice(0, 20),
+      latestChat: content[1].value
+    });
+    return _id;
+  } else {
+    // 已经有记录，追加入库
+    await Chat.findByIdAndUpdate(chatId, {
+      $push: {
+        content: {
+          $each: content
+        }
+      },
+      title: content[0].value.slice(0, 20),
+      latestChat: content[1].value,
+      updateTime: new Date()
+    });
+  }
+}

src/pages/api/chat/shareChat/chat.ts

@@ -0,0 +1,137 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { connectToDatabase } from '@/service/mongo';
+import { authShareChat } from '@/service/utils/auth';
+import { modelServiceToolMap } from '@/service/utils/chat';
+import { ChatItemSimpleType } from '@/types/chat';
+import { jsonRes } from '@/service/response';
+import { ChatModelMap, ModelVectorSearchModeMap } from '@/constants/model';
+import { pushChatBill, updateShareChatBill } from '@/service/events/pushBill';
+import { resStreamResponse } from '@/service/utils/chat';
+import { ChatRoleEnum } from '@/constants/chat';
+import { BillTypeEnum } from '@/constants/user';
+import { sensitiveCheck } from '@/service/api/text';
+import { appKbSearch } from '../../openapi/kb/appKbSearch';
+
+/* 发送提示词 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  res.on('error', () => {
+    console.log('error: ', 'request error');
+    res.end();
+  });
+
+  try {
+    const { shareId, password, historyId, prompts } = req.body as {
+      prompts: ChatItemSimpleType[];
+      password: string;
+      shareId: string;
+      historyId: string;
+    };
+
+    if (!historyId || !prompts) {
+      throw new Error('分享链接无效');
+    }
+
+    await connectToDatabase();
+    let startTime = Date.now();
+
+    const { model, userOpenAiKey, systemAuthKey, userId } = await authShareChat({
+      shareId,
+      password
+    });
+
+    const modelConstantsData = ChatModelMap[model.chat.chatModel];
+
+    const { code = 200, systemPrompts = [] } = await (async () => {
+      // 使用了知识库搜索
+      if (model.chat.relatedKbs.length > 0) {
+        const { code, searchPrompts } = await appKbSearch({
+          model,
+          userId,
+          prompts,
+          similarity: ModelVectorSearchModeMap[model.chat.searchMode]?.similarity
+        });
+
+        return {
+          code,
+          systemPrompts: searchPrompts
+        };
+      }
+      if (model.chat.systemPrompt) {
+        return {
+          systemPrompts: [
+            {
+              obj: ChatRoleEnum.System,
+              value: model.chat.systemPrompt
+            }
+          ]
+        };
+      }
+      return {};
+    })();
+
+    // search result is empty
+    if (code === 201) {
+      return res.send(systemPrompts[0]?.value);
+    }
+
+    prompts.splice(prompts.length - 3, 0, ...systemPrompts);
+
+    // content check
+    await sensitiveCheck({
+      input: [...systemPrompts, prompts[prompts.length - 1]].map((item) => item.value).join('')
+    });
+
+    // 计算温度
+    const temperature = (modelConstantsData.maxTemperature * (model.chat.temperature / 10)).toFixed(
+      2
+    );
+
+    // 发出请求
+    const { streamResponse } = await modelServiceToolMap[model.chat.chatModel].chatCompletion({
+      apiKey: userOpenAiKey || systemAuthKey,
+      temperature: +temperature,
+      messages: prompts,
+      stream: true,
+      res,
+      chatId: historyId
+    });
+
+    console.log('api response time:', `${(Date.now() - startTime) / 1000}s`);
+
+    if (res.closed) return res.end();
+
+    try {
+      const { totalTokens, finishMessages } = await resStreamResponse({
+        model: model.chat.chatModel,
+        res,
+        chatResponse: streamResponse,
+        prompts
+      });
+
+      res.end();
+
+      /* bill */
+      pushChatBill({
+        isPay: !userOpenAiKey,
+        chatModel: model.chat.chatModel,
+        userId,
+        textLen: finishMessages.map((item) => item.value).join('').length,
+        tokens: totalTokens,
+        type: BillTypeEnum.chat
+      });
+      updateShareChatBill({
+        shareId,
+        tokens: totalTokens
+      });
+    } catch (error) {
+      res.end();
+      console.log('error，结束', error);
+    }
+  } catch (err: any) {
+    res.status(500);
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/shareChat/create.ts

@@ -0,0 +1,40 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, ShareChat } from '@/service/mongo';
+import { authModel, authUser } from '@/service/utils/auth';
+import type { ShareChatEditType } from '@/types/model';
+
+/* create a shareChat */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { modelId, name, maxContext, password } = req.body as ShareChatEditType & {
+      modelId: string;
+    };
+
+    await connectToDatabase();
+
+    const { userId } = await authUser({ req, authToken: true });
+    await authModel({
+      modelId,
+      userId,
+      authOwner: false
+    });
+
+    const { _id } = await ShareChat.create({
+      userId,
+      modelId,
+      name,
+      password,
+      maxContext
+    });
+
+    jsonRes(res, {
+      data: _id
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/shareChat/delete.ts

@@ -0,0 +1,29 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, ShareChat } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
+
+/* delete a shareChat by shareChatId */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { id } = req.query as {
+      id: string;
+    };
+
+    await connectToDatabase();
+
+    const { userId } = await authUser({ req, authToken: true });
+
+    await ShareChat.findOneAndRemove({
+      _id: id,
+      userId
+    });
+
+    jsonRes(res);
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/shareChat/init.ts

@@ -0,0 +1,60 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, ShareChat } from '@/service/mongo';
+import type { InitShareChatResponse } from '@/api/response/chat';
+import { authModel } from '@/service/utils/auth';
+import { hashPassword } from '@/service/utils/tools';
+
+/* 初始化我的聊天框，需要身份验证 */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    let { shareId, password = '' } = req.query as {
+      shareId: string;
+      password: string;
+    };
+
+    if (!shareId) {
+      throw new Error('params is error');
+    }
+
+    await connectToDatabase();
+
+    // get shareChat
+    const shareChat = await ShareChat.findById(shareId);
+
+    if (!shareChat) {
+      throw new Error('分享链接已失效');
+    }
+
+    if (shareChat.password !== hashPassword(password)) {
+      return jsonRes(res, {
+        code: 501,
+        message: '密码不正确'
+      });
+    }
+
+    // 校验使用权限
+    const { model } = await authModel({
+      modelId: shareChat.modelId,
+      userId: String(shareChat.userId),
+      authOwner: false
+    });
+
+    jsonRes<InitShareChatResponse>(res, {
+      data: {
+        maxContext: shareChat.maxContext,
+        model: {
+          name: model.name,
+          avatar: model.avatar,
+          intro: model.share.intro
+        },
+        chatModel: model.chat.chatModel
+      }
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/shareChat/list.ts

@@ -0,0 +1,43 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, ShareChat } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
+import { hashPassword } from '@/service/utils/tools';
+
+/* get shareChat list by modelId */
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    const { modelId } = req.query as {
+      modelId: string;
+    };
+
+    await connectToDatabase();
+
+    const { userId } = await authUser({ req, authToken: true });
+
+    const data = await ShareChat.find({
+      modelId,
+      userId
+    }).sort({
+      _id: -1
+    });
+
+    const blankPassword = hashPassword('');
+
+    jsonRes(res, {
+      data: data.map((item) => ({
+        _id: item._id,
+        name: item.name,
+        password: item.password === blankPassword ? '' : '1',
+        tokens: item.tokens,
+        maxContext: item.maxContext,
+        lastTime: item.lastTime
+      }))
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/chat/updateHistoryQuote.ts

@@ -0,0 +1,51 @@
+import type { NextApiRequest, NextApiResponse } from 'next';
+import { jsonRes } from '@/service/response';
+import { connectToDatabase, Chat } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
+import { Types } from 'mongoose';
+
+export default async function handler(req: NextApiRequest, res: NextApiResponse) {
+  try {
+    let { chatId, historyId, quoteId } = req.query as {
+      chatId: string;
+      historyId: string;
+      quoteId: string;
+    };
+    await connectToDatabase();
+
+    const { userId } = await authUser({ req, authToken: true });
+
+    if (!chatId || !historyId || !quoteId) {
+      throw new Error('params is error');
+    }
+
+    await Chat.updateOne(
+      {
+        _id: new Types.ObjectId(chatId),
+        userId: new Types.ObjectId(userId),
+        'content._id': new Types.ObjectId(historyId)
+      },
+      {
+        $set: {
+          'content.$.quote.$[quoteElem].isEdit': true
+        }
+      },
+      {
+        arrayFilters: [
+          {
+            'quoteElem.id': quoteId
+          }
+        ]
+      }
+    );
+
+    jsonRes(res, {
+      data: ''
+    });
+  } catch (err) {
+    jsonRes(res, {
+      code: 500,
+      error: err
+    });
+  }
+}

src/pages/api/model/create.ts

@@ -2,7 +2,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
 import { connectToDatabase } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
+import { authUser } from '@/service/utils/auth';
 import { ModelStatusEnum } from '@/constants/model';
 import { Model } from '@/service/models/model';
 
@@ -17,7 +17,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
     }
 
     // 凭证校验
-    const userId = await authToken(req);
+    const { userId } = await authUser({ req, authToken: true });
 
     await connectToDatabase();
 

src/pages/api/model/data/exportModelData.ts

@@ -1,48 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
-import { PgClient } from '@/service/pg';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    let { modelId } = req.query as {
-      modelId: string;
-    };
-
-    if (!modelId) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const userId = await authToken(req);
-
-    await connectToDatabase();
-
-    // 统计数据
-    const count = await PgClient.count('modelData', {
-      where: [['model_id', modelId], 'AND', ['user_id', userId]]
-    });
-    // 从 pg 中获取所有数据
-    const pgData = await PgClient.select<{ q: string; a: string }>('modelData', {
-      where: [['model_id', modelId], 'AND', ['user_id', userId]],
-      fields: ['q', 'a'],
-      order: [{ field: 'id', mode: 'DESC' }],
-      limit: count
-    });
-
-    const data: [string, string][] = pgData.rows.map((item) => [
-      item.q.replace(/\n/g, '\\n'),
-      item.a.replace(/\n/g, '\\n')
-    ]);
-
-    jsonRes(res, {
-      data
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/data/fetchingUrlData.ts

@@ -1,34 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
-import axios from 'axios';
-import { axiosConfig } from '@/service/utils/tools';
-
-/**
- * 读取网站的内容
- */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { url } = req.body as { url: string };
-    if (!url) {
-      throw new Error('缺少 url');
-    }
-    await connectToDatabase();
-
-    await authToken(req);
-
-    const data = await axios
-      .get(url, {
-        httpsAgent: axiosConfig().httpsAgent
-      })
-      .then((res) => res.data as string);
-
-    jsonRes(res, { data });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/data/getSplitData.ts

@@ -1,33 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, SplitData, Model } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
-
-/* 拆分数据成QA */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { modelId } = req.query as { modelId: string };
-    if (!modelId) {
-      throw new Error('参数错误');
-    }
-    await connectToDatabase();
-
-    const userId = await authToken(req);
-
-    // 找到长度大于0的数据
-    const data = await SplitData.find({
-      userId,
-      modelId,
-      textList: { $exists: true, $not: { $size: 0 } }
-    });
-
-    jsonRes(res, {
-      data: data.map((item) => item.textList).flat().length
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/data/pushModelDataInput.ts

@@ -1,54 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
-import { ModelDataSchema } from '@/types/mongoSchema';
-import { generateVector } from '@/service/events/generateVector';
-import { PgClient } from '@/service/pg';
-import { authModel } from '@/service/utils/auth';
-
-export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
-  try {
-    const { modelId, data } = req.body as {
-      modelId: string;
-      data: { a: ModelDataSchema['a']; q: ModelDataSchema['q'] }[];
-    };
-
-    if (!modelId || !Array.isArray(data)) {
-      throw new Error('缺少参数');
-    }
-
-    // 凭证校验
-    const userId = await authToken(req);
-
-    await connectToDatabase();
-
-    // 验证是否是该用户的 model
-    await authModel({
-      userId,
-      modelId
-    });
-
-    // 插入记录
-    await PgClient.insert('modelData', {
-      values: data.map((item) => [
-        { key: 'user_id', value: userId },
-        { key: 'model_id', value: modelId },
-        { key: 'q', value: item.q },
-        { key: 'a', value: item.a },
-        { key: 'status', value: 'waiting' }
-      ])
-    });
-
-    generateVector();
-
-    jsonRes(res, {
-      data: 0
-    });
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}

src/pages/api/model/data/splitData.ts

@@ -1,75 +0,0 @@
-import type { NextApiRequest, NextApiResponse } from 'next';
-import { jsonRes } from '@/service/response';
-import { connectToDatabase, SplitData, Model } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
-import { generateVector } from '@/service/events/generateVector';
-import { generateQA } from '@/service/events/generateQA';
-import { PgClient } from '@/service/pg';
-
-/* 拆分数据成QA */
-export default async function handler(req: NextApiRequest, res: NextApiResponse) {
-  try {
-    const { chunks, modelId, prompt, mode } = req.body as {
-      modelId: string;
-      chunks: string[];
-      prompt: string;
-      mode: 'qa' | 'subsection';
-    };
-    if (!chunks || !modelId || !prompt) {
-      throw new Error('参数错误');
-    }
-    await connectToDatabase();
-
-    const userId = await authToken(req);
-
-    // 验证是否是该用户的 model
-    const model = await Model.findOne({
-      _id: modelId,
-      userId
-    });
-
-    if (!model) {
-      throw new Error('无权操作该模型');
-    }
-
-    if (mode === 'qa') {
-      // 批量QA拆分插入数据
-      await SplitData.create({
-        userId,
-        modelId,
-        textList: chunks,
-        prompt
-      });
-
-      generateQA();
-    } else if (mode === 'subsection') {
-      // 插入记录
-      await PgClient.insert('modelData', {
-        values: chunks.map((item) => [
-          { key: 'user_id', value: userId },
-          { key: 'model_id', value: modelId },
-          { key: 'q', value: item },
-          { key: 'a', value: '' },
-          { key: 'status', value: 'waiting' }
-        ])
-      });
-
-      generateVector();
-    }
-
-    jsonRes(res);
-  } catch (err) {
-    jsonRes(res, {
-      code: 500,
-      error: err
-    });
-  }
-}
-
-export const config = {
-  api: {
-    bodyParser: {
-      sizeLimit: '10mb'
-    }
-  }
-};

src/pages/api/model/del.ts

@@ -1,8 +1,7 @@
 import type { NextApiRequest, NextApiResponse } from 'next';
 import { jsonRes } from '@/service/response';
-import { Chat, Model, connectToDatabase, Collection } from '@/service/mongo';
-import { authToken } from '@/service/utils/auth';
-import { PgClient } from '@/service/pg';
+import { Chat, Model, connectToDatabase, Collection, ShareChat } from '@/service/mongo';
+import { authUser } from '@/service/utils/auth';
 import { authModel } from '@/service/utils/auth';
 
 /* 获取我的模型 */
@@ -15,7 +14,7 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
     }
 
     // 凭证校验
-    const userId = await authToken(req);
+    const { userId } = await authUser({ req, authToken: true });
 
     await connectToDatabase();
 
@@ -25,11 +24,6 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       userId
     });
 
-    // 删除 pg 中所有该模型的数据
-    await PgClient.delete('modelData', {
-      where: [['user_id', userId], 'AND', ['model_id', modelId]]
-    });
-
     // 删除对应的聊天
     await Chat.deleteMany({
       modelId
@@ -40,6 +34,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse<
       modelId
     });
 
+    // 删除分享链接
+    await ShareChat.deleteMany({
+      modelId
+    });
+
     // 删除模型
     await Model.deleteOne({
       _id: modelId,