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https://github.com/aurorax-neo/free-gpt3.5-2api

free chat gpt api
https://github.com/aurorax-neo/free-gpt3.5-2api

api free gpt

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free chat gpt api

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# [free-gpt3.5-2api](https://github.com/aurorax-neo/free-gpt3.5-2api)

## 一、支持

#### 1.支持免登录chat2api

#### 2.支持账号chat2api(Authorization Bearer eyJhbGciOiJSUz***)

#### 3.支持账号ACCESS_TOKEN(Authorization Bearer ac-***)

## 二、配置

#### 环境变量

```
LOG_LEVEL=info # debug, info, warn, error
LOG_PATH= # 日志文件路径,默认为空(不生成日志文件)
BIND=0.0.0.0 # 127.0.0.1
PORT=3040
TOKENS_FILE= # 账号token文件,默认 tokens.yml
PROXY= # http://127.0.0.1:7890,http://127.0.0.1:7890 已支持多个代理(英文 "," 分隔)
AUTHORIZATIONS= # abc,bac (英文 "," 分隔) 注:必须
BASE_URL= # 默认:https://chatgpt.com
```

###### 也可使用与程序同目录下 `.env` 文件配置上述字段

- ##### 若要使用TOKENS_FILE内的账号,AUTHORIZATIONS字段内必须配置`ac-`开头的AUTHORIZATION并使用ac-***调用本程序,若ACCESS_TOKENS无可用账号则返回401错误,`tokens.yml`详见`tokens.template.yml`

- ##### `AUTHORIZATIONS `功能(access_token):防止使用求头access_token的API接口被刷,使用方式 `access_token#{abc}` ,{abc}替换为 `AUTHORIZATIONS` 内的任意一项

## 三、部署

### 1.docker部署

##### 1 .创建文件夹

```
mkdir -p $PWD/free-gpt3.5-2api
```

##### 2.拉取镜像启动

```
docker run -itd --name=free-gpt3.5-2api -e AUTHORIZATIONS=abc,bac -p 9846:3040 ghcr.io/aurorax-neo/free-gpt3.5-2api
```

###### 注意:-e AUTHORIZATIONS=abc,bac 请自行修改,避免接口被刷

##### 3.更新容器

```
docker run --rm -v /var/run/docker.sock:/var/run/docker.sock containrrr/watchtower -cR free-gpt3.5-2api --debug
```

### 2.docker-compose部署

##### 1.快速启动

###### 把本仓库根目录的compose.yaml文件下载到你的电脑(最好为它建立一个free-gpt3.5-2api文件夹,放在文件夹里,这样防止多个compose文件冲突),在compose.yaml目录下运行如下命令

```
docker compose up -d
```

##### 2.更新容器

```
docker compose pull
docker compose up -d
```

##### 3.配置文件说明

```
services:
free-gpt3.5-2api:
container_name: free-gpt3.5-2api #这里写你想起的容器名称
image: ghcr.io/aurorax-neo/free-gpt3.5-2api
ports:
- 7846:3040 #docker默认不经过ufw和firewall,如果想要不暴露端口到外网,在端口前加127.0.0.1,像这样 127.0.0.1:7846:3040
#7846:3040 前面是主机端口,可以自定义,后面是容器端口不要修改

restart: unless-stopped #容器停止和启动须经过手动操作,不会随docker自启
environment:
- AUTHORIZATIONS=abc,bac #注意:“=”后的内容请自行修改,避免接口被刷

```

######

### 3.Vercel部署

[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https://github.com/aurorax-neo/free-gpt3.5-2api&project-name=free-gpt3.5-2api&repository-name=free-gpt3.5-2api)

### 4.Koyeb部署

###### 注意:`Regions`请选择支持`openai`免登的区域!!!现原生ip已不支持免登,请配置代理使用!!!

[![Deploy to Koyeb](https://www.koyeb.com/static/images/deploy/button.svg)](https://app.koyeb.com/deploy?type=docker&name=free-gpt3-5-2api&region=par&ports=3040;http;/&image=ghcr.io/aurorax-neo/free-gpt3.5-2api)

## 四、接口

#### 1./v1/accTokens

`Authorization`使用 `AUTHORIZATIONS`其中任意一个

```
curl --location --request GET 'http://127.0.0.1:9846/v1/accTokens' \
--header 'Authorization: Bearer abc'
```

返回示例说明:`count`为ACCESS_TOKEN池中可用授权数

```
{
"count": 1,
"canUseCount": 1
}
```

#### 2./v1/chat/completions

###### 支持返回stream和json

```
http://:/v1/chat/completions
```

##### 示例

```
curl http://127.0.0.1:9846
```

```
curl --location --request POST 'http://127.0.0.1:9846/v1/chat/completions' \
--header 'Authorization: Bearer abc' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gpt-3.5-turbo",
"messages": [
{
"role": "user",
"content": "西红柿炒钢丝球怎么做?"
}
],
"stream": false
}'
```

## 五、模型映射

```
"gpt-3.5-turbo": "text-davinci-002-render-sha",
"gpt-3.5-turbo-16k": "text-davinci-002-render-sha",
"gpt-3.5-turbo-16k-0613": "text-davinci-002-render-sha",
"gpt-3.5-turbo-0301": "text-davinci-002-render-sha",
"gpt-3.5-turbo-0613": "text-davinci-002-render-sha",
"gpt-3.5-turbo-1106": "text-davinci-002-render-sha",
"gpt-4o": "gpt-4o",
"auto": "auto",
"gpt-4o-av": "gpt-4o-av",
```

## 参考项目

- https://github.com/aurora-develop/aurora

- https://github.com/xqdoo00o/ChatGPT-to-API