base on free chat gpt api # [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://<ip>:<port>/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 [![Powered by DartNode](https://dartnode.com/branding/DN-Open-Source-sm.png)](https://dartnode.com "Powered by DartNode - Free VPS for Open Source") ## Sponsor <a href="https://edgeone.ai/?from=github"><img width="200" src="https://edgeone.ai/media/34fe3a45-492d-4ea4-ae5d-ea1087ca7b4b.png"></a> CDN acceleration and security protection for this project are sponsored by Tencent EdgeOne. ## 🌟 Star History [![Star History Chart](https://api.star-history.com/svg?repos=aurorax-neo/free-gpt3.5-2api&type=Date)](https://star-history.com/#aurorax-neo/free-gpt3.5-2api&Date)", Assign "at most 3 tags" to the expected json: {"id":"9537","tags":[]} "only from the tags list I provide: []" returns me the "expected json"