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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
**第一次开发，请先看下方部署，需要部署数据库.开发的环境变量和部署的环境变量几乎相同，仅 IP 地址不一样.所以部署好后，直接把部署文件的环境变量复制过来，改下 Ip 就 OK 了。**
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)
**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：
## 🚀 私有化部署
```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
queueTask=1
parentUrl=https://hostname/api/openapi/startEvents
MY_MAIL=xxx@qq.com
MAILE_CODE=xxx
aliAccessKeyId=xxx
aliAccessKeySecret=xxx
aliSignName=xxx
aliTemplateCode=SMS_xxx
TOKEN_KEY=xxx
OPENAIKEY=sk-xxx
# 和mongo镜像的username,password对应
MONGODB_URI=mongodb://username:password@服务器IP:27017/test?authSource=admin
MONGODB_NAME=xxx
PG_HOST=服务器IP
PG_PORT=8100
PG_USER=fastgpt # POSTGRES_USER
PG_PASSWORD=1234 # POSTGRES_PASSWORD
PG_DB_NAME=fastgpt # POSTGRES_DB
```
[docker-compose 部署教程](docs/deploy/docker.md)
**运行**
## :point_right: RoadMap
```
pnpm dev
```
- [FastGpt RoadMap](https://kjqvjse66l.feishu.cn/docx/RVUxdqE2WolDYyxEKATcM0XXnte)
## 部署
## 🏘️ 交流群
### 代理环境（国外服务器可忽略）
wx: fastgpt123
![Demo](docs/imgs/wx300.jpg?raw=true 'wx')
选择一个即可。
## 👀 其他
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）
- [FastGpt 常见问题](https://kjqvjse66l.feishu.cn/docx/HtrgdT0pkonP4kxGx8qcu6XDnGh)
- [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://hnvacz-laf-upload-ai.oss.laf.run/3ffd528ee2f9ae1dcd3508fe9994dd9.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/)
### docker 部署
## 🌟 Star History
#### 1. 准备
> 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/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
手动创建或者直接把 deploy 里内容复制过去,然后把 deploy 文件夹改名为: fastgpt
**/root/fastgpt/pg/init.sql PG 数据库初始化**
```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/fastgpt/nginx/nginx.conf Nginx 配置**
```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;
# 改成自己的域名和证书
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/fastgpt/docker-compose.yml 核心部署文件**
```yml
version: '3.3'
services:
fast-gpt:
image: c121914yu/fast-gpt:latest
network_mode: host
restart: always
container_name: fast-gpt
environment:
# 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。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
# 和下方mongo镜像的username,password对应
- MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
- MONGODB_NAME=xxx
- PG_HOST=0.0.0.0
- PG_PORT=8100
# 和下方PG镜像对应.
- PG_USER=fastgpt # POSTGRES_USER
- PG_PASSWORD=1234 # POSTGRES_PASSWORD
- PG_DB_NAME=fastgpt # POSTGRES_DB
# openai api key
- OPENAIKEY=sk-xxxxx
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
pg:
image: ankane/pgvector
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
```
#### 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)

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# Docker 部署 FastGpt
## 代理环境（国外服务器可忽略）
选择一个即可。
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）
### 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
手动创建或者直接把 fastgpt 文件夹复制过去。
**/root/fastgpt/pg/init.sql PG 数据库初始化**
```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/fastgpt/nginx/nginx.conf Nginx 配置**
```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;
# 改成自己的域名和证书
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/fastgpt/docker-compose.yml 核心部署文件**
环境变量内容和开发时的环境变量基本相同，除了数据库的地址。
```yml
version: '3.3'
services:
fast-gpt:
image: c121914yu/fast-gpt:latest
network_mode: host
restart: always
container_name: fastgpt
environment:
# 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。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
- queueTask=1
- parentUrl=https://hostname/api/openapi/startEvents
# 和下方mongo镜像的username,password对应
- MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
- MONGODB_NAME=xxx
- PG_HOST=0.0.0.0
- PG_PORT=8100
# 和下方PG镜像对应.
- PG_USER=fastgpt # POSTGRES_USER
- PG_PASSWORD=1234 # POSTGRES_PASSWORD
- PG_DB_NAME=fastgpt # POSTGRES_DB
- OPENAIKEY=sk-xxxxx
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
pg:
image: ankane/pgvector:v0.4.1
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
```
### 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[在 mac 上面部署 fastgpt 可能存在的问题](./mac.md)

0
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0
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0
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2
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View File

@@ -49,7 +49,7 @@ services:
- /root/fastgpt/nginx/ssl/docgpt.key:/ssl/docgpt.key
- /root/fastgpt/nginx/ssl/docgpt.pem:/ssl/docgpt.pem
pg:
image: ankane/pgvector
image: ankane/pgvector:v0.4.1
container_name: pg
restart: always
ports:

0
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0
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0
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0
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30
docs/mac.md → docs/deploy/mac.md
View File

@@ -1,22 +1,22 @@
## 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
@@ -25,11 +25,9 @@ docker -v
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 fast-gpt 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
```
**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
```
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
@@ -95,6 +93,4 @@ CREATE INDEX modelData_userId_index ON modelData (userId);
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**

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@@ -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;
}
}
```
```

100
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@@ -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:
```
OPENAI_BASE_URL=https://tgohwtdlrmer.cloud.sealos.io/openai/v1
OPENAI_BASE_URL_AUTH=auth
```
**Done!**

47
docs/dev/README.md Normal file
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@@ -0,0 +1,47 @@
# FastGpt 本地开发
第一次开发，请先[部署教程](docs/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
# 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。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
queueTask=1
parentUrl=https://hostname/api/openapi/startEvents
# 和mongo镜像的username,password对应
MONGODB_URI=mongodb://username:passsword@0.0.0.0:27017/?authSource=admin
MONGODB_NAME=xxx
PG_HOST=0.0.0.0
PG_PORT=8100
# 和PG镜像对应.
PG_USER=fastgpt # POSTGRES_USER
PG_PASSWORD=1234 # POSTGRES_PASSWORD
PG_DB_NAME=fastgpt # POSTGRES_DB
OPENAIKEY=sk-xxxxx
```
## 运行
```
pnpm dev
```

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2
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@@ -24,7 +24,7 @@ wx 号: fastgpt123
| --- | --- |
| claude - 对话 | 免费 |
| chatgpt - 对话 | 0.03 |
| 知识库 - 对话 | 0.03 |
| gpt4 - 对话 | 0.5 |
| 知识库 - 索引 | 免费 |
| 文件拆分 | 0.03 |

4
src/api/request.ts
View File

@@ -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 {
@@ -58,7 +58,7 @@ function responseError(err: any) {
// 有报错响应
const res = err.response;
if (res.data.code in TOKEN_ERROR_CODE) {
clearToken();
clearCookie();
return Promise.reject({ message: 'token过期，重新登录' });
}
}

2
src/api/user.ts
View File

@@ -64,6 +64,8 @@ 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) =>

2
src/components/Layout/index.tsx
View File

@@ -35,7 +35,7 @@ const Layout = ({ children, isPcDevice }: { children: JSX.Element; isPcDevice: b
return (
<>
<Box h={'100%'} overflowY={'auto'} bg={'gray.100'}>
<Box h={'100%'} bg={'gray.100'}>
{isPc ? (
pcUnShowLayoutRoute[router.pathname] ? (
<Auth>{children}</Auth>

4
src/components/Layout/navbar.tsx
View File

@@ -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'}

19
src/constants/model.ts
View File

@@ -28,31 +28,31 @@ export const ChatModelMap = {
chatModel: OpenAiChatEnum.GPT35,
name: 'ChatGpt',
contextMaxToken: 4096,
systemMaxToken: 2500,
maxTemperature: 1.5,
systemMaxToken: 2400,
maxTemperature: 1.2,
price: 3
},
[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
}
@@ -60,6 +60,7 @@ export const ChatModelMap = {
export const chatModelList: ChatModelItemType[] = [
ChatModelMap[OpenAiChatEnum.GPT35],
ChatModelMap[OpenAiChatEnum.GPT4],
ChatModelMap[ClaudeEnum.Claude]
];

4
src/pages/api/chat/chat.ts
View File

@@ -68,11 +68,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
return res.send(searchPrompts[0]?.value);
}
prompts.splice(prompts.length - 1, 0, ...searchPrompts);
prompts.splice(prompts.length - 3, 0, ...searchPrompts);
} else {
// 没有用知识库搜索，仅用系统提示词
model.chat.systemPrompt &&
prompts.unshift({
prompts.splice(prompts.length - 3, 0, {
obj: ChatRoleEnum.System,
value: model.chat.systemPrompt
});

5
src/pages/api/openapi/chat/chat.ts
View File

@@ -87,12 +87,11 @@ export default async function handler(req: NextApiRequest, res: NextApiResponse)
prompts.splice(prompts.length - 1, 0, ...searchPrompts);
} else {
// 没有用知识库搜索，仅用系统提示词
if (model.chat.systemPrompt) {
prompts.unshift({
model.chat.systemPrompt &&
prompts.splice(prompts.length - 1, 0, {
obj: ChatRoleEnum.System,
value: model.chat.systemPrompt
});
}
}
// 计算温度

16
src/pages/api/user/loginout.ts Normal file
View File

@@ -0,0 +1,16 @@
// Next.js API route support: https://nextjs.org/docs/api-routes/introduction
import type { NextApiRequest, NextApiResponse } from 'next';
import { jsonRes } from '@/service/response';
import { clearCookie } from '@/service/utils/tools';
export default async function handler(req: NextApiRequest, res: NextApiResponse<any>) {
try {
clearCookie(res);
jsonRes(res);
} catch (err) {
jsonRes(res, {
code: 500,
error: err
});
}
}

10
src/pages/chat/index.tsx
View File

@@ -198,7 +198,6 @@ const Chat = ({
if (newChatId) {
setForbidLoadChatData(true);
router.replace(`/chat?modelId=${modelId}&chatId=${newChatId}`);
loadHistory({ pageNum: 1, init: true });
}
} catch (err) {
toast({
@@ -222,6 +221,9 @@ const Chat = ({
};
})
}));
// refresh history
loadHistory({ pageNum: 1, init: true });
},
[
chatId,
@@ -488,10 +490,6 @@ const Chat = ({
modelId && setLastChatModelId(modelId);
setLastChatId(chatId);
/* get mode and chat into ↓ */
// phone: history page
if (!isPc && Object.keys(router.query).length === 0) return null;
if (forbidLoadChatData) {
setForbidLoadChatData(false);
return null;
@@ -566,7 +564,7 @@ const Chat = ({
try {
setIsLoading(true);
await onclickDelHistory(chatData.chatId);
router.replace(`/chat`);
router.replace(`/chat?modelId=${modelId}`);
} catch (err) {
console.log(err);
}

4
src/pages/number/index.tsx
View File

@@ -7,7 +7,7 @@ import { useToast } from '@/hooks/useToast';
import { useGlobalStore } from '@/store/global';
import { useUserStore } from '@/store/user';
import { UserType } from '@/types/user';
import { clearToken } from '@/utils/user';
import { clearCookie } from '@/utils/user';
import { useRouter } from 'next/router';
import { useQuery } from '@tanstack/react-query';
import dynamic from 'next/dynamic';
@@ -75,7 +75,7 @@ const NumberSetting = () => {
);
const onclickLogOut = useCallback(() => {
clearToken();
clearCookie();
setUserInfo(null);
router.replace('/login');
}, [router, setUserInfo]);

2
src/pages/promotion/index.tsx
View File

@@ -81,7 +81,7 @@ const OpenApi = () => {
mr={4}
variant={'outline'}
onClick={() => {
copyData(`${location.origin}?inviterId=${userInfo?._id}`, '已复制邀请链接');
copyData(`${location.origin}/?inviterId=${userInfo?._id}`, '已复制邀请链接');
}}
>
复制邀请链接

16
src/service/plugins/searchKb.ts
View File

@@ -105,11 +105,12 @@ export const searchKb = async ({
: [
{
obj: ChatRoleEnum.System,
value: `我们来玩问答游戏,规则为:
1.你只能回答关于"${model.name}"的问题
2.你只能从知识库中选择内容进行回答
3.如果问题不在知识库中,你会回答"我不知道。"
务必遵守规则`
value: `玩一个问答游戏,规则为:
1.你完全忘记你已有的知识
2.你只回答关于"${model.name}"的问题
3.你只从知识库中选择内容进行回答
4.如果问题不在知识库中,你会回答:"我不知道。"
请务必遵守规则`
}
])
];
@@ -125,7 +126,8 @@ export const searchKb = async ({
length: Math.floor(maxTokens * rate)
})
)
.join('\n');
.join('\n')
.trim();
/* 高相似度+不回复 */
if (!filterSystemPrompt && model.chat.searchMode === ModelVectorSearchModeEnum.hightSimilarity) {
@@ -160,7 +162,7 @@ export const searchKb = async ({
searchPrompts: [
{
obj: ChatRoleEnum.System,
value: `知识库:'${filterSystemPrompt}'`
value: `知识库:${filterSystemPrompt}`
},
...fixedPrompts
]

4
src/service/utils/auth.ts
View File

@@ -55,11 +55,11 @@ export const getApiKey = async ({
},
[OpenAiChatEnum.GPT4]: {
userOpenAiKey: user.openaiKey || '',
systemAuthKey: process.env.OPENAIKEY as string
systemAuthKey: process.env.GPT4KEY as string
},
[OpenAiChatEnum.GPT432k]: {
userOpenAiKey: user.openaiKey || '',
systemAuthKey: process.env.OPENAIKEY as string
systemAuthKey: process.env.GPT4KEY as string
},
[ClaudeEnum.Claude]: {
userOpenAiKey: '',

4
src/service/utils/chat/claude.ts
View File

@@ -25,9 +25,9 @@ export const lafClaudChat = async ({
.filter((item) => item.obj === 'System')
.map((item) => item.value)
.join('\n');
const systemPromptText = systemPrompt ? `\n知识库内容:'${systemPrompt}'\n` : '';
const systemPromptText = systemPrompt ? `你本次知识:${systemPrompt}\n` : '';
const prompt = `${systemPromptText}\n我的问题是:'${messages[messages.length - 1].value}'`;
const prompt = `${systemPromptText}我的问题是:'${messages[messages.length - 1].value}'`;
const lafResponse = await axios.post(
'https://hnvacz.laf.run/claude-gpt',

23
src/service/utils/chat/index.ts
View File

@@ -109,35 +109,22 @@ export const ChatContextFilter = ({
// 根据 tokens 截断内容
const chats: ChatItemSimpleType[] = [];
let systemPrompt: ChatItemSimpleType | null = null;
// System 词保留
if (formatPrompts[0].obj === ChatRoleEnum.System) {
const prompt = formatPrompts.shift();
if (prompt) {
systemPrompt = prompt;
}
}
let messages: ChatItemSimpleType[] = [];
// 从后往前截取对话内容
for (let i = formatPrompts.length - 1; i >= 0; i--) {
chats.unshift(formatPrompts[i]);
messages = systemPrompt ? [systemPrompt, ...chats] : chats;
const tokens = modelToolMap[model].countTokens({
messages
messages: chats
});
/* 整体 tokens 超出范围 */
if (tokens >= maxTokens) {
return systemPrompt ? [systemPrompt, ...chats.slice(1)] : chats.slice(1);
/* 整体 tokens 超出范围, system必须保留 */
if (tokens >= maxTokens && formatPrompts[i].obj !== ChatRoleEnum.System) {
return chats.slice(1);
}
}
return messages;
return chats;
};
/* stream response */

10
src/utils/user.ts
View File

@@ -1,8 +1,12 @@
import { PRICE_SCALE } from '@/constants/common';
const tokenKey = 'fast-gpt-token';
import { loginOut } from '@/api/user';
export const clearToken = () => {
document.cookie = 'token=; expires=Thu, 01 Jan 1970 00:00:00 UTC; path=/;';
export const clearCookie = () => {
try {
loginOut();
} catch (error) {
error;
}
};
/**