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README.md
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README.md
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今日正准备推出,请期待!
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支持高速流式输出、支持多轮对话、支持联网搜索、支持长文档解读、支持图像解析(正在开发),零配置部署,多路token支持,自动清理会话痕迹。
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与ChatGPT接口完全兼容。
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还有以下四个free-api欢迎关注:
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Moonshot AI(Kimi.ai)接口转API [kimi-free-api](https://github.com/LLM-Red-Team/kimi-free-api)
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阿里通义 (Qwen) 接口转API [qwen-free-api](https://github.com/LLM-Red-Team/qwen-free-api)
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ZhipuAI (智谱清言) 接口转API [glm-free-api](https://github.com/LLM-Red-Team/glm-free-api)
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聆心智能 (Emohaa) 接口转API [emohaa-free-api](https://github.com/LLM-Red-Team/emohaa-free-api)
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## 目录
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* [声明](#声明)
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* [在线体验](#在线体验)
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* [效果示例](#效果示例)
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* [接入准备](#接入准备)
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* [多账号接入](#多账号接入)
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* [Docker部署](#Docker部署)
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* [Docker-compose部署](#Docker-compose部署)
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* [原生部署](#原生部署)
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* [接口列表](#接口列表)
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* [对话补全](#对话补全)
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* [文档解读](#文档解读)
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* [图像解析](#图像解析)
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* [注意事项](#注意事项)
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* [Nginx反代优化](#Nginx反代优化)
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## 声明
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仅限自用,禁止对外提供服务或商用,避免对官方造成服务压力,否则风险自担!
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仅限自用,禁止对外提供服务或商用,避免对官方造成服务压力,否则风险自担!
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仅限自用,禁止对外提供服务或商用,避免对官方造成服务压力,否则风险自担!
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## 在线体验
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此链接仅临时测试功能,不可长期使用,长期使用请自行部署。
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https://udify.app/chat/RGqDVPHspgQgGSgf
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## 效果示例
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### 验明正身
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### 多轮对话
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### 联网搜索
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### 长文档解读
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### 图像解析
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功能开发中...
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## 接入准备
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从 [stepchat.cn](https://stepchat.cn) 获取Oasis-Token
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进入StepChat随便发起一个对话,然后F12打开开发者工具,从Application > Cookies中找到`Oasis-Token`的值,这将作为Authorization的Bearer Token值:`Authorization: Bearer TOKEN`
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### 多账号接入
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你可以通过提供多个账号的refresh_token并使用`,`拼接提供:
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`Authorization: Bearer TOKEN1,TOKEN2,TOKEN3`
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每次请求服务会从中挑选一个。
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## Docker部署
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请准备一台具有公网IP的服务器并将8000端口开放。
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拉取镜像并启动服务
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```shell
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docker run -it -d --init --name step-free-api -p 8000:8000 -e TZ=Asia/Shanghai vinlic/step-free-api:latest
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```
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查看服务实时日志
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```shell
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docker logs -f step-free-api
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```
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重启服务
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```shell
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docker restart step-free-api
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```
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停止服务
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```shell
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docker stop step-free-api
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```
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### Docker-compose部署
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```yaml
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version: '3'
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services:
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step-free-api:
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container_name: step-free-api
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image: vinlic/step-free-api:latest
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restart: always
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ports:
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- "8000:8000"
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environment:
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- TZ=Asia/Shanghai
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```
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## 原生部署
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请准备一台具有公网IP的服务器并将8000端口开放。
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请先安装好Node.js环境并且配置好环境变量,确认node命令可用。
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安装依赖
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```shell
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npm i
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```
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安装PM2进行进程守护
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```shell
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npm i -g pm2
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```
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编译构建,看到dist目录就是构建完成
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```shell
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npm run build
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```
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启动服务
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```shell
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pm2 start dist/index.js --name "step-free-api"
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```
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查看服务实时日志
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```shell
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pm2 logs step-free-api
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```
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重启服务
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```shell
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pm2 reload step-free-api
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```
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停止服务
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```shell
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pm2 stop step-free-api
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```
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## 接口列表
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目前支持与openai兼容的 `/v1/chat/completions` 接口,可自行使用与openai或其他兼容的客户端接入接口,或者使用 [dify](https://dify.ai/) 等线上服务接入使用。
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### 对话补全
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对话补全接口,与openai的 [chat-completions-api](https://platform.openai.com/docs/guides/text-generation/chat-completions-api) 兼容。
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**POST /v1/chat/completions**
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header 需要设置 Authorization 头部:
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```
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Authorization: Bearer [refresh_token]
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```
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请求数据:
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```json
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{
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// 模型名称随意填写
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"model": "step",
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"messages": [
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{
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"role": "user",
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"content": "你是谁?"
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}
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],
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// 如果使用SSE流请设置为true,默认false
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"stream": false
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}
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```
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响应数据:
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```json
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{
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"id": "85466015488159744",
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"model": "step",
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"object": "chat.completion",
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"choices": [
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{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": "我是跃问(StepChat),一个由阶跃星辰(StepFun)开发的多模态大模型。我可以回答您的问题,提供信息和帮助,同时支持多种模态的交互,如文字、图像等。如果您有任何问题或需要帮助,请随时向我提问。"
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},
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"finish_reason": "stop"
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}
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],
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"usage": {
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"prompt_tokens": 1,
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"completion_tokens": 1,
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"total_tokens": 2
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},
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"created": 1711829974
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}
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```
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### 文档解读
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接口开发中...
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### 图像解析
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接口开发中...
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## 注意事项
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### Nginx反代优化
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如果您正在使用Nginx反向代理step-free-api,请添加以下配置项优化流的输出效果,优化体验感。
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```nginx
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# 关闭代理缓冲。当设置为off时,Nginx会立即将客户端请求发送到后端服务器,并立即将从后端服务器接收到的响应发送回客户端。
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proxy_buffering off;
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# 启用分块传输编码。分块传输编码允许服务器为动态生成的内容分块发送数据,而不需要预先知道内容的大小。
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chunked_transfer_encoding on;
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# 开启TCP_NOPUSH,这告诉Nginx在数据包发送到客户端之前,尽可能地发送数据。这通常在sendfile使用时配合使用,可以提高网络效率。
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tcp_nopush on;
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# 开启TCP_NODELAY,这告诉Nginx不延迟发送数据,立即发送小数据包。在某些情况下,这可以减少网络的延迟。
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tcp_nodelay on;
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# 设置保持连接的超时时间,这里设置为120秒。如果在这段时间内,客户端和服务器之间没有进一步的通信,连接将被关闭。
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keepalive_timeout 120;
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```
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### Token统计
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由于推理侧不在step-free-api,因此token不可统计,将以固定数字返回!!!!!
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## Star History
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[](https://star-history.com/#LLM-Red-Team/step-free-api&Date)
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