├── .gitignore ├── FUNC.md ├── LICENSE ├── README.CN.md ├── README.md ├── app.js ├── docker ├── Dockerfile ├── app.js ├── fetchsse.js └── package.json ├── images ├── 20230307122958.png ├── 20230307123053.png ├── 20230307123511.png ├── 20230307123910.png ├── 20230307123957.png ├── 20230307124127.png ├── 202303071241272.png ├── 20230307124853.png ├── 20230307131517.png └── 20230307203401.png ├── package.json ├── stream-moderation.mov ├── stream-moderation.mp4 ├── yarn-error.log └── yarn.lock /.gitignore: -------------------------------------------------------------------------------- 1 | node_modules 2 | RoboFile.php -------------------------------------------------------------------------------- /FUNC.md: -------------------------------------------------------------------------------- 1 | # 此Proxy可以部署到腾讯云函数 2 | 3 | > ⚠️ 由于腾讯云自身规则，虽然代码本身支持SSE，但部署为云函数后可能无法正常工作 4 | 5 | ① 进入[云函数创建面板](https://console.cloud.tencent.com/scf/list-create?rid=5&ns=default&createType=empty)，选择日本/新加坡(有issue反馈因为unsupported location被封号，虽然无法完全确定原因，但建议不再使用~~中国香港~~)、web函数、NodeJS 16。 6 | 7 | ![](images/20230307122958.png) 8 | 9 | ② 在函数代码处点击`app.js`将本项目 [app.js](/app.js) 的代码粘贴进去。 10 | 11 | ![](images/20230307123053.png) 12 | 13 | 其他不用改，点创建。 14 | 15 | ③ 创建完成后，点击「函数管理」→「函数代码」。等编辑器把函数代码加载完成后 CloudStudio → 终端 → 新终端，打开一个新终端。 16 | 17 | ![](images/20230307123511.png) 18 | 19 | ④ 在出现的终端中粘贴以下代码 20 | 21 | ```bash 22 | cd src && yarn add body-parser@1.20.2 cross-fetch@3.1.5 eventsource-parser@0.1.0 express@4.18.2 multer@1.4.5-lts.1 tencentcloud-sdk-nodejs@4.0.567 cors@2.8.5 23 | ``` 24 | 25 | ![](images/20230307123910.png) 26 | 27 | ⑤ 点编辑器右上角的「部署」，等待部署完成。 28 | 29 | ![](images/20230307123957.png) 30 | 31 | ⑥ 下拉或者进入「触发管理」可以看到云函数的访问地址。 32 | 33 | ![](images/202303071241272.png) 34 | 35 | 36 | ⑦ 调整函数执行超时时间，默认的3s会经常超时，建议调整为30s；同时添加环境变量 `TIMEOUT`(单位为毫秒，如30000) 37 | ![](images/20230307203401.png) 38 | 39 | ⑧ 如果你想绑定自己的域名，需要在「触发管理」中开启「标准API网关」，按腾讯云教程进行配置。 40 | 41 | ## Proxy的使用 42 | 43 | 使用时将 `https://api.openai.com/` 替换为该路径即可，如 `https://api.openai.com/v1/chat/completions` 替换为 `https://xxxxx.apigw.tencentcs.com/release/v1/chat/completions` 44 | 45 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2023 Easy 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.CN.md: -------------------------------------------------------------------------------- 1 | > ⚠️ 这是代理的服务器端，不是客户端。需要部署到可以联通 openai api 的网络环境后访问。 2 | 3 | ## 特色功能 4 | 5 | 1. 支持SSE流式输出 6 | 1. 内置文本安全审核（需要配置腾讯云KEY） 7 | 8 | ## NodeJS部署 9 | 10 | 你可以把 ./app.js 部署到所有支持 nodejs 14+ 的环境，比如云函数和边缘计算平台。 11 | 12 | 1. 复制 app.js 和 package.json 到目录 13 | 1. yarn install 安装依赖 14 | 1. node app.js 启动服务 15 | 16 | ## Docker部署 17 | 18 | ``` 19 | docker run -p 9000:9000 easychen/ai.level06.com:latest 20 | ``` 21 | 22 | Proxy地址为 http://${IP}:9000 23 | 24 | ### 可用环境变量 25 | 26 | 1. PORT: 服务端口 27 | 1. PROXY_KEY: 代理访问KEY，用于限制访问 28 | 1. TIMEOUT：请求超时时间，默认30秒 29 | 1. TENCENT_CLOUD_SID：腾讯云secret_id 30 | 1. TENCENT_CLOUD_SKEY：腾讯云secret_key 31 | 1. TENCENT_CLOUD_AP：腾讯云区域（如：ap-singapore 新加坡） 32 | 33 | ## 接口使用方法 34 | 35 | 1. 将原来项目中 openai 的请求地址（ 比如 https://api.openai.com ）中的域名变更为本 proxy 的域名/IP（注意带上端口号） 36 | 1. 如果设置了PROXY_KEY，在 openai 的 key 后加上 `:`，如果没有设置，则不需修改 37 | 1. moderation：true 开启审核，false 关闭审核 38 | 1. moderation_level：high 中断所有审核结果不为 Pass 的句子，low 只中断审核结果为 Block 的句子 39 | 40 | ## 说明 41 | 42 | 1. 只支持 GET 和 POST 方法的接口，不支持文件相关接口 43 | 1. ~~当前不支持SSE，因此需要关掉 stream 相关的选项~~ 已支持 44 | 45 | ## 客户端使用实例 46 | 47 | 以 `https://www.npmjs.com/package/chatgpt` 为例 48 | 49 | ```js 50 | chatApi= new gpt.ChatGPTAPI({ 51 | apiKey: 'sk.....:', 52 | apiBaseUrl: "http://localhost:9001/v1", // 替换代理域名/IP 53 | }); 54 | 55 | ``` 56 | 57 | ## 致谢 58 | 59 | 1. SSE参考了[chatgpt-api项目相关代码](https://github.com/transitive-bullshit/chatgpt-api/blob/main/src/fetch-sse.ts) 60 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # openai-api-proxy 2 | 3 | 可以部署到docker和云函数的OpenAI API代理 4 | Simple proxy for OpenAi api via a one-line docker command 5 | 6 | 🌳 如果你懒得自己搭建，那么可以试试[国内可以访问、可以微信充值的第三方OpenAI API服务：API2D.com](https://api2d.com/r/186008)，支持Chat酱、OpenCat、NextWeb、VSCode插件。 7 | 8 | 9 | - [腾讯云函数部署教程](FUNC.md) 🔥 腾讯云函数从4月25日起已经全地域支持SSE，推荐使用 10 | - [简体中文使用说明](README.CN.md) 11 | - [《如何快速开发一个OpenAI/GPT应用：国内开发者笔记》](https://github.com/easychen/openai-gpt-dev-notes-for-cn-developer) 12 | 13 | 🎉 已经支持SSE，可以实时返回内容 14 | 15 | 以下英文由GPT翻译。The following English was translated by GPT. 16 | 17 | ⚠️ This is the server-side of the proxy, not the client-side. It needs to be deployed to a network environment that can access the openai api. 18 | 19 | ## Features 20 | 21 | 1. Supports SSE streaming output 22 | 2. Built-in text moderation (requires Tencent Cloud KEY configuration) 23 | 3. 💪 SSE streaming output supports text moderation, that's how powerful it is. 24 | 25 | ## NodeJS Deployment 26 | 27 | You can deploy ./app.js to any environment that supports nodejs 14+, such as cloud functions and edge computing platforms. 28 | 29 | 1. Copy app.js and package.json to the directory 30 | 2. Install dependencies with yarn install 31 | 3. Start the service with node app.js 32 | 33 | ## Docker Deployment 34 | 35 | ``` 36 | docker run -p 9000:9000 easychen/ai.level06.com:latest 37 | ``` 38 | 39 | The proxy address is http://${IP}:9000 40 | 41 | ### Available Environment Variables 42 | 43 | 1. PORT: Service port 44 | 2. PROXY_KEY: Proxy access key, used to restrict access 45 | 3. TIMEOUT: Request timeout, default 30 seconds 46 | 4. TENCENT_CLOUD_SID: Tencent Cloud secret_id 47 | 5. TENCENT_CLOUD_SKEY: Tencent Cloud secret_key 48 | 6. TENCENT_CLOUD_AP: Tencent Cloud region (e.g. ap-singapore Singapore) 49 | 50 | ## API Usage 51 | 52 | 1. Change the domain/IP (with port number) of the openai request address in the original project (e.g. https://api.openai.com) to the domain/IP of this proxy. 53 | 2. If PROXY_KEY is set, add `:` after the openai key. If not set, no modification is required. 54 | 3. moderation: true enables moderation, false disables moderation 55 | 4. moderation_level: high interrupts all sentences whose moderation result is not Pass, low only interrupts sentences whose moderation result is Block. 56 | 57 | ## Notes 58 | 59 | 1. Only supports GET and POST methods, not file-related interfaces. 60 | 2. ~~SSE is not currently supported, so stream-related options need to be turned off~~ Now supported. 61 | 62 | ## Client-side Usage Example 63 | 64 | Using `https://www.npmjs.com/package/chatgpt` as an example: 65 | 66 | ```js 67 | chatApi= new gpt.ChatGPTAPI({ 68 | apiKey: 'sk.....:', 69 | apiBaseUrl: "http://localhost:9001/v1", // Replace with proxy domain/IP 70 | }); 71 | 72 | ``` 73 | 74 | ## Acknowledgements 75 | 76 | 1. SSE reference to [chatgpt-api project related code](https://github.com/transitive-bullshit/chatgpt-api/blob/main/src/fetch-sse.ts) 77 | -------------------------------------------------------------------------------- /app.js: -------------------------------------------------------------------------------- 1 | const express = require('express') 2 | const fetch = require('cross-fetch') 3 | const app = express() 4 | var multer = require('multer'); 5 | var forms = multer({limits: { fieldSize: 10*1024*1024 }}); 6 | app.use(forms.array()); 7 | const cors = require('cors'); 8 | app.use(cors()); 9 | 10 | const bodyParser = require('body-parser') 11 | app.use(bodyParser.json({limit : '50mb' })); 12 | app.use(bodyParser.urlencoded({ extended: true })); 13 | 14 | const tencentcloud = require("tencentcloud-sdk-nodejs"); 15 | const TmsClient = tencentcloud.tms.v20201229.Client; 16 | const clientConfig = { 17 | credential: { 18 | secretId: process.env.TENCENT_CLOUD_SID, 19 | secretKey: process.env.TENCENT_CLOUD_SKEY, 20 | }, 21 | region: process.env.TENCENT_CLOUD_AP||"ap-singapore", 22 | profile: { 23 | httpProfile: { 24 | endpoint: "tms.tencentcloudapi.com", 25 | }, 26 | }, 27 | }; 28 | const mdClient = process.env.TENCENT_CLOUD_SID && process.env.TENCENT_CLOUD_SKEY ? new TmsClient(clientConfig) : false; 29 | 30 | const controller = new AbortController(); 31 | 32 | app.all(`*`, async (req, res) => { 33 | 34 | if(req.originalUrl) req.url = req.originalUrl; 35 | let url = `https://api.openai.com${req.url}`; 36 | // 从 header 中取得 Authorization': 'Bearer 后的 token 37 | const token = req.headers.authorization?.split(' ')[1]; 38 | if( !token ) return res.status(403).send('Forbidden'); 39 | 40 | const openai_key = process.env.OPENAI_KEY||token.split(':')[0]; 41 | if( !openai_key ) return res.status(403).send('Forbidden'); 42 | if( openai_key.startsWith("fk") ) url = url.replaceAll( "api.openai.com", "openai.api2d.net" ); 43 | 44 | const proxy_key = token.split(':')[1]||""; 45 | console.log("PROXY_KEY:" + proxy_key); 46 | const validProxyKeys = process.env.PROXY_KEY ? process.env.PROXY_KEY.split(',') : []; 47 | // 检查传入的proxy_key是否在有效的PROXY_KEY列表中 48 | if (process.env.PROXY_KEY && !validProxyKeys.includes(proxy_key)){ 49 | console.log("拒绝访问, PROXY_KEY无效"); 50 | return res.status(403).send('Forbidden'); 51 | } 52 | 53 | // console.log( req ); 54 | const { moderation, moderation_level, ...restBody } = req.body; 55 | let sentence = ""; 56 | // 建立一个句子缓冲区 57 | let sentence_buffer = []; 58 | let processing = false; 59 | let processing_stop = false; 60 | 61 | async function process_buffer(res) 62 | { 63 | if( processing_stop ) 64 | { 65 | console.log("processing_stop",processing_stop); 66 | return false; 67 | } 68 | 69 | console.log("句子缓冲区" + new Date(), sentence_buffer); 70 | 71 | // 处理句子缓冲区 72 | if( processing ) 73 | { 74 | // 有正在处理的，1秒钟后重试 75 | console.log("有正在处理的，1秒钟后重试"); 76 | setTimeout( () => process_buffer(res), 1000 ); 77 | return false; 78 | } 79 | 80 | processing = true; 81 | const sentence = sentence_buffer.shift(); 82 | console.log("取出句子", sentence); 83 | if( sentence ) 84 | { 85 | if( sentence === '[DONE]' ) 86 | { 87 | console.log("[DONE]", "结束输出"); 88 | res.write("data: "+sentence+"\n\n" ); 89 | processing = false; 90 | res.end(); 91 | return true; 92 | }else 93 | { 94 | // 开始对句子进行审核 95 | let data_array = JSON.parse(sentence); 96 | console.log("解析句子数据为array",data_array); 97 | 98 | const sentence_content = data_array.choices[0]?.delta?.content; 99 | console.log("sentence_content", sentence_content); 100 | if( sentence_content ) 101 | { 102 | const params = {"Content": Buffer.from(sentence_content).toString('base64')}; 103 | const md_result = await mdClient.TextModeration(params); 104 | // console.log("审核结果", md_result); 105 | let md_check = moderation_level == 'high' ? md_result.Suggestion != 'Pass' : md_result.Suggestion == 'Block'; 106 | if( md_check ) 107 | { 108 | // 终止输出 109 | console.log("审核不通过", sentence_content, md_result); 110 | let forbidden_array = data_array; 111 | forbidden_array.choices[0].delta.content = "这个话题不适合讨论，换个话题吧。"; 112 | res.write("data: "+JSON.stringify(forbidden_array)+"\n\n" ); 113 | res.write("data: [DONE]\n\n" ); 114 | res.end(); 115 | controller.abort(); 116 | processing = false; 117 | processing_stop = true; 118 | return false; 119 | }else 120 | { 121 | console.log("审核通过", sentence_content); 122 | res.write("data: "+sentence+"\n\n" ); 123 | processing = false; 124 | console.log("processing",processing); 125 | return true; 126 | } 127 | } 128 | 129 | } 130 | }else 131 | { 132 | // console.log("句子缓冲区为空"); 133 | } 134 | 135 | processing = false; 136 | } 137 | 138 | 139 | const options = { 140 | method: req.method, 141 | timeout: process.env.TIMEOUT||30000, 142 | signal: controller.signal, 143 | headers: { 144 | 'Content-Type': 'application/json; charset=utf-8', 145 | 'Authorization': 'Bearer '+ openai_key, 146 | }, 147 | onMessage: async (data) => { 148 | // console.log(data); 149 | if( data === '[DONE]' ) 150 | { 151 | sentence_buffer.push(data); 152 | await process_buffer(res); 153 | }else 154 | { 155 | if( moderation && mdClient ) 156 | { 157 | try { 158 | let data_array = JSON.parse(data); 159 | const char = data_array.choices[0]?.delta?.content; 160 | if( char ) sentence += char; 161 | // console.log("sentence",sentence ); 162 | if( char == '。' || char == '？' || char == '！' || char == "\n" ) 163 | { 164 | // 将 sentence 送审 165 | console.log("遇到句号，将句子放入缓冲区", sentence); 166 | data_array.choices[0].delta.content = sentence; 167 | sentence = ""; 168 | sentence_buffer.push(JSON.stringify(data_array)); 169 | await process_buffer(res); 170 | } 171 | } catch (error) { 172 | // 因为开头已经处理的了 [DONE] 的情况，这里应该不会出现无法解析json的情况 173 | console.log( "error", error ); 174 | } 175 | }else 176 | { 177 | // 如果没有文本审核参数或者设置，直接输出 178 | res.write("data: "+data+"\n\n" ); 179 | } 180 | } 181 | } 182 | }; 183 | 184 | if( req.method.toLocaleLowerCase() === 'post' && req.body ) options.body = JSON.stringify(restBody); 185 | // console.log({url, options}); 186 | 187 | try { 188 | 189 | // 如果是 chat completion 和 text completion，使用 SSE 190 | if( (req.url.startsWith('/v1/completions') || req.url.startsWith('/v1/chat/completions')) && req.body.stream ) { 191 | console.log("使用 SSE"); 192 | const response = await myFetch(url, options); 193 | if( response.ok ) 194 | { 195 | // write header 196 | res.writeHead(200, { 197 | 'Content-Type': 'text/event-stream', 198 | 'Cache-Control': 'no-cache', 199 | 'Connection': 'keep-alive', 200 | }); 201 | const { createParser } = await import("eventsource-parser"); 202 | const parser = createParser((event) => { 203 | // console.log(event); 204 | if (event.type === "event") { 205 | options.onMessage(event.data); 206 | } 207 | }); 208 | if (!response.body.getReader) { 209 | const body = response.body; 210 | if (!body.on || !body.read) { 211 | throw new error('unsupported "fetch" implementation'); 212 | } 213 | body.on("readable", () => { 214 | let chunk; 215 | while (null !== (chunk = body.read())) { 216 | // console.log(chunk.toString()); 217 | parser.feed(chunk.toString()); 218 | } 219 | }); 220 | } else { 221 | for await (const chunk of streamAsyncIterable(response.body)) { 222 | const str = new TextDecoder().decode(chunk); 223 | parser.feed(str); 224 | } 225 | } 226 | }else 227 | { 228 | const body = await response.text(); 229 | res.status(response.status).send(body); 230 | } 231 | 232 | }else 233 | { 234 | console.log("使用 fetch"); 235 | const response = await myFetch(url, options); 236 | // 检查返回的内容类型 237 | const contentType = response.headers.get("Content-Type"); 238 | // 根据内容类型处理返回的数据 239 | if (contentType.includes("application/json")) { 240 | // 处理JSON数据 241 | const data = await response.json(); 242 | // 审核结果 243 | if (moderation && mdClient) { 244 | const params = {"Content": Buffer.from(data.choices[0].message.content).toString('base64')}; 245 | const md_result = await mdClient.TextModeration(params); 246 | console.log("审核结果", md_result); 247 | let md_check = moderation_level == 'high' ? md_result.Suggestion != 'Pass' : md_result.Suggestion == 'Block'; 248 | if (md_check) { 249 | // 终止输出 250 | console.log("审核不通过", data.choices[0].message.content, md_result); 251 | data.choices[0].message.content = "这个话题不适合讨论，换个话题吧。"; 252 | } else { 253 | console.log("审核通过", data.choices[0].message.content); 254 | } 255 | } 256 | // 返回JSON数据 257 | res.json(data); 258 | } else if (contentType.includes("audio")) { 259 | // 处理Audio数据 260 | const audioBlob = await response.blob(); 261 | // 需要设置正确的Content-Type 262 | res.setHeader('Content-Type', 'audio/mpeg'); 263 | // 发送音频数据给客户端 264 | const audioStream = audioBlob.stream(); 265 | audioStream.pipe(res); 266 | } else { 267 | // 处理其他类型的返回或抛出错误 268 | console.log("返回了未知类型的数据"); 269 | res.status(500).send("返回了未知类型的数据"); 270 | } 271 | } 272 | 273 | 274 | } catch (error) { 275 | console.error(error); 276 | res.status(500).json({"error":error.toString()}); 277 | } 278 | }) 279 | 280 | async function* streamAsyncIterable(stream) { 281 | const reader = stream.getReader(); 282 | try { 283 | while (true) { 284 | const { done, value } = await reader.read(); 285 | if (done) { 286 | return; 287 | } 288 | yield value; 289 | } 290 | } finally { 291 | reader.releaseLock(); 292 | } 293 | } 294 | 295 | async function myFetch(url, options) { 296 | const {timeout, ...fetchOptions} = options; 297 | const controller = new AbortController(); 298 | const timeoutId = setTimeout(() => controller.abort(), timeout||30000) 299 | const res = await fetch(url, {...fetchOptions,signal:controller.signal}); 300 | clearTimeout(timeoutId); 301 | return res; 302 | } 303 | 304 | // Error handler 305 | app.use(function(err, req, res, next) { 306 | console.error(err) 307 | res.status(500).send('Internal Serverless Error') 308 | }) 309 | 310 | const port = process.env.PORT||9000; 311 | app.listen(port, () => { 312 | console.log(`Server start on http://localhost:${port}`); 313 | }) -------------------------------------------------------------------------------- /docker/Dockerfile: -------------------------------------------------------------------------------- 1 | FROM --platform=$TARGETPLATFORM node:18-alpine3.15 2 | EXPOSE 9000 3 | RUN mkdir -p /data/api 4 | COPY app.js /data/api/app.js 5 | COPY fetchsse.js /data/api/fetchsse.js 6 | COPY package.json /data/api/package.json 7 | RUN npm install --prefix /data/api 8 | CMD ["node", "/data/api/app.js"] -------------------------------------------------------------------------------- /docker/app.js: -------------------------------------------------------------------------------- 1 | const express = require('express') 2 | const fetch = require('cross-fetch') 3 | const app = express() 4 | var multer = require('multer'); 5 | var forms = multer({limits: { fieldSize: 10*1024*1024 }}); 6 | app.use(forms.array()); 7 | const cors = require('cors'); 8 | app.use(cors()); 9 | 10 | const bodyParser = require('body-parser') 11 | app.use(bodyParser.json({limit : '50mb' })); 12 | app.use(bodyParser.urlencoded({ extended: true })); 13 | 14 | const tencentcloud = require("tencentcloud-sdk-nodejs"); 15 | const TmsClient = tencentcloud.tms.v20201229.Client; 16 | const clientConfig = { 17 | credential: { 18 | secretId: process.env.TENCENT_CLOUD_SID, 19 | secretKey: process.env.TENCENT_CLOUD_SKEY, 20 | }, 21 | region: process.env.TENCENT_CLOUD_AP||"ap-singapore", 22 | profile: { 23 | httpProfile: { 24 | endpoint: "tms.tencentcloudapi.com", 25 | }, 26 | }, 27 | }; 28 | const mdClient = process.env.TENCENT_CLOUD_SID && process.env.TENCENT_CLOUD_SKEY ? new TmsClient(clientConfig) : false; 29 | 30 | const controller = new AbortController(); 31 | 32 | app.all(`*`, async (req, res) => { 33 | 34 | if(req.originalUrl) req.url = req.originalUrl; 35 | let url = `https://api.openai.com${req.url}`; 36 | // 从 header 中取得 Authorization': 'Bearer 后的 token 37 | const token = req.headers.authorization?.split(' ')[1]; 38 | if( !token ) return res.status(403).send('Forbidden'); 39 | 40 | const openai_key = process.env.OPENAI_KEY||token.split(':')[0]; 41 | if( !openai_key ) return res.status(403).send('Forbidden'); 42 | if( openai_key.startsWith("fk") ) url = url.replaceAll( "api.openai.com", "openai.api2d.net" ); 43 | 44 | const proxy_key = token.split(':')[1]||""; 45 | if( process.env.PROXY_KEY && proxy_key !== process.env.PROXY_KEY ) 46 | return res.status(403).send('Forbidden'); 47 | 48 | // console.log( req ); 49 | const { moderation, moderation_level, ...restBody } = req.body; 50 | let sentence = ""; 51 | // 建立一个句子缓冲区 52 | let sentence_buffer = []; 53 | let processing = false; 54 | let processing_stop = false; 55 | 56 | async function process_buffer(res) 57 | { 58 | if( processing_stop ) 59 | { 60 | console.log("processing_stop",processing_stop); 61 | return false; 62 | } 63 | 64 | console.log("句子缓冲区" + new Date(), sentence_buffer); 65 | 66 | // 处理句子缓冲区 67 | if( processing ) 68 | { 69 | // 有正在处理的，1秒钟后重试 70 | console.log("有正在处理的，1秒钟后重试"); 71 | setTimeout( () => process_buffer(res), 1000 ); 72 | return false; 73 | } 74 | 75 | processing = true; 76 | const sentence = sentence_buffer.shift(); 77 | console.log("取出句子", sentence); 78 | if( sentence ) 79 | { 80 | if( sentence === '[DONE]' ) 81 | { 82 | console.log("[DONE]", "结束输出"); 83 | res.write("data: "+sentence+"\n\n" ); 84 | processing = false; 85 | res.end(); 86 | return true; 87 | }else 88 | { 89 | // 开始对句子进行审核 90 | let data_array = JSON.parse(sentence); 91 | console.log("解析句子数据为array",data_array); 92 | 93 | const sentence_content = data_array.choices[0]?.delta?.content; 94 | console.log("sentence_content", sentence_content); 95 | if( sentence_content ) 96 | { 97 | const params = {"Content": Buffer.from(sentence_content).toString('base64')}; 98 | const md_result = await mdClient.TextModeration(params); 99 | // console.log("审核结果", md_result); 100 | let md_check = moderation_level == 'high' ? md_result.Suggestion != 'Pass' : md_result.Suggestion == 'Block'; 101 | if( md_check ) 102 | { 103 | // 终止输出 104 | console.log("审核不通过", sentence_content, md_result); 105 | let forbidden_array = data_array; 106 | forbidden_array.choices[0].delta.content = "这个话题不适合讨论，换个话题吧。"; 107 | res.write("data: "+JSON.stringify(forbidden_array)+"\n\n" ); 108 | res.write("data: [DONE]\n\n" ); 109 | res.end(); 110 | controller.abort(); 111 | processing = false; 112 | processing_stop = true; 113 | return false; 114 | }else 115 | { 116 | console.log("审核通过", sentence_content); 117 | res.write("data: "+sentence+"\n\n" ); 118 | processing = false; 119 | console.log("processing",processing); 120 | return true; 121 | } 122 | } 123 | 124 | } 125 | }else 126 | { 127 | // console.log("句子缓冲区为空"); 128 | } 129 | 130 | processing = false; 131 | } 132 | 133 | 134 | const options = { 135 | method: req.method, 136 | timeout: process.env.TIMEOUT||30000, 137 | signal: controller.signal, 138 | headers: { 139 | 'Content-Type': 'application/json; charset=utf-8', 140 | 'Authorization': 'Bearer '+ openai_key, 141 | }, 142 | onMessage: async (data) => { 143 | // console.log(data); 144 | if( data === '[DONE]' ) 145 | { 146 | sentence_buffer.push(data); 147 | await process_buffer(res); 148 | }else 149 | { 150 | if( moderation && mdClient ) 151 | { 152 | try { 153 | let data_array = JSON.parse(data); 154 | const char = data_array.choices[0]?.delta?.content; 155 | if( char ) sentence += char; 156 | // console.log("sentence",sentence ); 157 | if( char == '。' || char == '？' || char == '！' || char == "\n" ) 158 | { 159 | // 将 sentence 送审 160 | console.log("遇到句号，将句子放入缓冲区", sentence); 161 | data_array.choices[0].delta.content = sentence; 162 | sentence = ""; 163 | sentence_buffer.push(JSON.stringify(data_array)); 164 | await process_buffer(res); 165 | } 166 | } catch (error) { 167 | // 因为开头已经处理的了 [DONE] 的情况，这里应该不会出现无法解析json的情况 168 | console.log( "error", error ); 169 | } 170 | }else 171 | { 172 | // 如果没有文本审核参数或者设置，直接输出 173 | res.write("data: "+data+"\n\n" ); 174 | } 175 | } 176 | } 177 | }; 178 | 179 | if( req.method.toLocaleLowerCase() === 'post' && req.body ) options.body = JSON.stringify(restBody); 180 | // console.log({url, options}); 181 | 182 | try { 183 | 184 | // 如果是 chat completion 和 text completion，使用 SSE 185 | if( (req.url.startsWith('/v1/completions') || req.url.startsWith('/v1/chat/completions')) && req.body.stream ) { 186 | console.log("使用 SSE"); 187 | const response = await myFetch(url, options); 188 | if( response.ok ) 189 | { 190 | // write header 191 | res.writeHead(200, { 192 | 'Content-Type': 'text/event-stream', 193 | 'Cache-Control': 'no-cache', 194 | 'Connection': 'keep-alive', 195 | }); 196 | const { createParser } = await import("eventsource-parser"); 197 | const parser = createParser((event) => { 198 | // console.log(event); 199 | if (event.type === "event") { 200 | options.onMessage(event.data); 201 | } 202 | }); 203 | if (!response.body.getReader) { 204 | const body = response.body; 205 | if (!body.on || !body.read) { 206 | throw new error('unsupported "fetch" implementation'); 207 | } 208 | body.on("readable", () => { 209 | let chunk; 210 | while (null !== (chunk = body.read())) { 211 | // console.log(chunk.toString()); 212 | parser.feed(chunk.toString()); 213 | } 214 | }); 215 | } else { 216 | for await (const chunk of streamAsyncIterable(response.body)) { 217 | const str = new TextDecoder().decode(chunk); 218 | parser.feed(str); 219 | } 220 | } 221 | }else 222 | { 223 | const body = await response.text(); 224 | res.status(response.status).send(body); 225 | } 226 | 227 | }else 228 | { 229 | console.log("使用 fetch"); 230 | const response = await myFetch(url, options); 231 | // console.log(response); 232 | const data = await response.json(); 233 | // 审核结果 234 | if( moderation && mdClient ) 235 | { 236 | const params = {"Content": Buffer.from(data.choices[0].message.content).toString('base64')}; 237 | const md_result = await mdClient.TextModeration(params); 238 | // console.log("审核结果", md_result); 239 | let md_check = moderation_level == 'high' ? md_result.Suggestion != 'Pass' : md_result.Suggestion == 'Block'; 240 | if( md_check ) 241 | { 242 | // 终止输出 243 | console.log("审核不通过", data.choices[0].message.content, md_result); 244 | data.choices[0].message.content = "这个话题不适合讨论，换个话题吧。"; 245 | }else 246 | { 247 | console.log("审核通过", data.choices[0].message.content); 248 | } 249 | } 250 | 251 | res.json(data); 252 | } 253 | 254 | 255 | } catch (error) { 256 | console.error(error); 257 | res.status(500).json({"error":error.toString()}); 258 | } 259 | }) 260 | 261 | async function* streamAsyncIterable(stream) { 262 | const reader = stream.getReader(); 263 | try { 264 | while (true) { 265 | const { done, value } = await reader.read(); 266 | if (done) { 267 | return; 268 | } 269 | yield value; 270 | } 271 | } finally { 272 | reader.releaseLock(); 273 | } 274 | } 275 | 276 | async function myFetch(url, options) { 277 | const {timeout, ...fetchOptions} = options; 278 | const controller = new AbortController(); 279 | const timeoutId = setTimeout(() => controller.abort(), timeout||30000) 280 | const res = await fetch(url, {...fetchOptions,signal:controller.signal}); 281 | clearTimeout(timeoutId); 282 | return res; 283 | } 284 | 285 | // Error handler 286 | app.use(function(err, req, res, next) { 287 | console.error(err) 288 | res.status(500).send('Internal Serverless Error') 289 | }) 290 | 291 | const port = process.env.PORT||9000; 292 | app.listen(port, () => { 293 | console.log(`Server start on http://localhost:${port}`); 294 | }) -------------------------------------------------------------------------------- /docker/fetchsse.js: -------------------------------------------------------------------------------- 1 | async function* streamAsyncIterable(stream) { 2 | const reader = stream.getReader(); 3 | try { 4 | while (true) { 5 | const { done, value } = await reader.read(); 6 | if (done) { 7 | return; 8 | } 9 | yield value; 10 | } 11 | } finally { 12 | reader.releaseLock(); 13 | } 14 | } 15 | 16 | // add timeout to fetchSSE 17 | async function fetchSSE(url, options, fetch2 = fetch) { 18 | const { createParser } = await import("eventsource-parser"); 19 | const { onMessage, timeout , ...fetchOptions } = options; 20 | const controller = new AbortController(); 21 | const timeoutId = setTimeout(() => controller.abort(), timeout||30000) 22 | 23 | const res = await fetch2(url, {...fetchOptions,signal:controller.signal}); 24 | clearTimeout(timeoutId); 25 | 26 | if (!res.ok) { 27 | let reason; 28 | try { 29 | reason = await res.text(); 30 | } catch (err) { 31 | reason = res.statusText; 32 | } 33 | const msg = `ChatGPT error ${res.status}: ${reason}`; 34 | const error = new ChatGPTError(msg, { cause: res }); 35 | error.statusCode = res.status; 36 | error.statusText = res.statusText; 37 | error.context = { url, options }; 38 | throw error; 39 | } 40 | const parser = createParser((event) => { 41 | if (event.type === "event") { 42 | onMessage(event.data); 43 | } 44 | }); 45 | if (!res.body.getReader) { 46 | const body = res.body; 47 | if (!body.on || !body.read) { 48 | throw new ChatGPTError('unsupported "fetch" implementation'); 49 | } 50 | body.on("readable", () => { 51 | let chunk; 52 | while (null !== (chunk = body.read())) { 53 | parser.feed(chunk.toString()); 54 | } 55 | }); 56 | } else { 57 | for await (const chunk of streamAsyncIterable(res.body)) { 58 | const str = new TextDecoder().decode(chunk); 59 | parser.feed(str); 60 | } 61 | } 62 | } 63 | 64 | module.exports = fetchSSE; 65 | -------------------------------------------------------------------------------- /docker/package.json: -------------------------------------------------------------------------------- 1 | { 2 | "dependencies": { 3 | "body-parser": "^1.20.2", 4 | "cors": "^2.8.5", 5 | "cross-fetch": "^3.1.5", 6 | "eventsource-parser": "^0.1.0", 7 | "express": "^4.18.2", 8 | "multer": "^1.4.5-lts.1", 9 | "tencentcloud-sdk-nodejs": "^4.0.567" 10 | } 11 | } 12 | -------------------------------------------------------------------------------- /images/20230307122958.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/easychen/openai-api-proxy/a3dbe8de07aede5d0f6381fca60524276d55201f/images/20230307122958.png -------------------------------------------------------------------------------- /images/20230307123053.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/easychen/openai-api-proxy/a3dbe8de07aede5d0f6381fca60524276d55201f/images/20230307123053.png -------------------------------------------------------------------------------- /images/20230307123511.png: -------------------------------------------------------------------------------- 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/Users/easy/.yarn/bin:/Users/easy/.config/yarn/global/node_modules/.bin:/usr/local/bin:/usr/bin:/bin:/usr/sbin:/sbin:/opt/podman/bin:/Users/easy/.yarn/bin:/Users/easy/.config/yarn/global/node_modules/.bin:/Users/easy/.cargo/bin 6 | 7 | Yarn version: 8 | 1.22.19 9 | 10 | Node version: 11 | 18.14.0 12 | 13 | Platform: 14 | darwin x64 15 | 16 | Trace: 17 | Error: Client network socket disconnected before secure TLS connection was established 18 | at connResetException (node:internal/errors:717:14) 19 | at TLSSocket.onConnectEnd (node:_tls_wrap:1595:19) 20 | at TLSSocket.emit (node:events:525:35) 21 | at endReadableNT (node:internal/streams/readable:1359:12) 22 | at process.processTicksAndRejections (node:internal/process/task_queues:82:21) 23 | 24 | npm manifest: 25 | { 26 | "dependencies": { 27 | "body-parser": "^1.20.2", 28 | "cross-fetch": "^3.1.5", 29 | "express": "^4.18.2", 30 | "multer": "^1.4.5-lts.1" 31 | } 32 | } 33 | 34 | yarn manifest: 35 | No manifest 36 | 37 | Lockfile: 38 | 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