项目部署

.dockerignore

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+node_modules
+npm-debug.log
+yarn-error.log
+.git
+.gitignore
+.env
+.env.*

.env.example

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+PORT=3000
+
+# OpenAI credentials. You can use either APP_* or OPENAI_* naming.
+APP_KEY=your_openai_api_key
+APP_ORG=your_openai_org_id
+
+OPENAI_API_KEY=your_openai_api_key
+OPENAI_ORG=your_openai_org_id
+
+# Optional. Default: gpt-3.5-turbo-instruct
+OPENAI_TEXT_MODEL=gpt-3.5-turbo-instruct

Dockerfile

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+FROM node:20-alpine
+
+WORKDIR /app
+
+COPY package.json yarn.lock ./
+
+RUN corepack enable && yarn install --frozen-lockfile --production
+
+COPY index.js ./
+
+ENV NODE_ENV=production
+ENV PORT=3000
+
+EXPOSE 3000
+
+CMD ["yarn", "start"]

README.md

@@ -1,24 +1,60 @@
----
-title: Node HTTP Module
-description: A HTTP module server
-tags:
-  - http
-  - nodejs
-  - javascript
----
+# chatGPT-nodejs
 
-# HTTP Module Example
+一个基于 Koa 的 Node.js 服务，提供两个 API：
 
-This example starts an [HTTP Module](https://nodejs.org/api/http.html) server.
+- `GET /chat?prompt=...`
+- `GET /image?prompt=...`
 
-[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/new/template/ZweBXA)
+并提供健康检查接口：
 
-## 💁‍♀️ How to use
+- `GET /health`
 
-- Install dependencies `yarn`
-- Connect to your Railway project `railway link`
-- Start the development server `railway run yarn start`
+## 环境变量
 
-## 📝 Notes
+可使用以下任一命名方式配置 OpenAI：
 
-The server started simply returns a `Hello World` payload. The server code is located in `server.mjs`.
+- `APP_KEY` 或 `OPENAI_API_KEY`（必填，调用 AI 接口时）
+- `APP_ORG` 或 `OPENAI_ORG`（可选）
+- `OPENAI_TEXT_MODEL`（可选，默认 `gpt-3.5-turbo-instruct`）
+- `PORT`（可选，默认 `3000`）
+
+可以复制 `.env.example` 作为参考配置。
+
+## 本地运行
+
+```bash
+yarn
+PORT=3000 APP_KEY=your_key yarn start
+```
+
+启动后访问：
+
+- `http://localhost:3000/health`
+
+## Docker 部署
+
+构建镜像：
+
+```bash
+docker build -t chatgpt-nodejs .
+```
+
+运行容器：
+
+```bash
+docker run -p 3000:3000 \
+  -e PORT=3000 \
+  -e APP_KEY=your_key \
+  -e APP_ORG=your_org \
+  chatgpt-nodejs
+```
+
+## Railway 部署
+
+项目已包含 `railway.toml`，可直接部署：
+
+1. 在 Railway 创建项目并连接仓库
+2. 在 Railway Variables 中设置环境变量（至少设置 `APP_KEY`）
+3. 部署后用 `/health` 进行健康检查
+
+[![Deploy on Railway](https://railway.app/button.svg)](https://railway.app/new)

index.js

@@ -1,57 +1,109 @@
 import { Configuration, OpenAIApi } from "openai";
-import Koa from "koa"
+import Koa from "koa";
 import Router from "koa-router";
 
-// https://platform.openai.com/docs/api-reference/images
+const port = Number(process.env.PORT || 3000);
+const apiKey = process.env.APP_KEY || process.env.OPENAI_API_KEY || "";
+const organization = process.env.APP_ORG || process.env.OPENAI_ORG;
+const textModel = process.env.OPENAI_TEXT_MODEL || "gpt-3.5-turbo-instruct";
 
-const configuration = new Configuration({
-    organization: process.env.APP_ORG,
-    apiKey: process.env.APP_KEY,
-});
-const openai = new OpenAIApi(configuration);
-const response = await openai.listEngines();
+const openai = apiKey
+  ? new OpenAIApi(
+      new Configuration({
+        organization,
+        apiKey,
+      }),
+    )
+  : null;
 
-const app = new Koa()
+const app = new Koa();
 const router = new Router();
 
+app.use(async (ctx, next) => {
+  try {
+    await next();
+  } catch (error) {
+    ctx.status = 500;
+    ctx.body = {
+      error: "Internal server error",
+      message: error?.message || "Unknown error",
+    };
+  }
+});
 
-router.get("/chat", async (ctx, next) => {
-    // 获取请求中的参数
-    const { prompt } = ctx.request.query;
+router.get("/", (ctx) => {
+  ctx.body = {
+    service: "chatGPT-nodejs",
+    status: "ok",
+    endpoints: ["/health", "/chat?prompt=...", "/image?prompt=..."],
+  };
+});
 
-    const res = await openai.createCompletion({
-        // 对话模型
-        model: "text-davinci-003",//  dialogue-babi-001 对话模型
-        prompt: prompt,
-        max_tokens: 2048,
-        temperature: 0.2
-    })
-    // 将生成的内容返回给客户端
-    ctx.body = res.data.choices
+router.get("/health", (ctx) => {
+  ctx.body = {
+    status: "ok",
+    openaiConfigured: Boolean(openai),
+  };
 });
 
-router.get("/image", async (ctx, next) => {
-    // 获取请求中的参数
-    const { prompt } = ctx.request.query;
-    const res = await openai.createImage({
-        // 对话模型
-        model: "image-alpha-001",
-        prompt: prompt,
-        size: "256x256",
-        n: 1
-    })
-    // 将生成的内容返回给客户端
-    var url = res.data.data[0].url
-
-    ctx.body = "<img src=\"" + url + "\"></>"
+router.get("/chat", async (ctx) => {
+  const prompt = String(ctx.request.query.prompt || "").trim();
+
+  if (!openai) {
+    ctx.status = 503;
+    ctx.body = {
+      error: "OpenAI API key is not configured",
+      expectedEnv: ["APP_KEY", "OPENAI_API_KEY"],
+    };
+    return;
+  }
+
+  if (!prompt) {
+    ctx.status = 400;
+    ctx.body = { error: "Query param `prompt` is required" };
+    return;
+  }
+
+  const res = await openai.createCompletion({
+    model: textModel,
+    prompt,
+    max_tokens: 1024,
+    temperature: 0.2,
+  });
+
+  ctx.body = { choices: res.data.choices };
 });
 
+router.get("/image", async (ctx) => {
+  const prompt = String(ctx.request.query.prompt || "").trim();
+
+  if (!openai) {
+    ctx.status = 503;
+    ctx.body = {
+      error: "OpenAI API key is not configured",
+      expectedEnv: ["APP_KEY", "OPENAI_API_KEY"],
+    };
+    return;
+  }
+
+  if (!prompt) {
+    ctx.status = 400;
+    ctx.body = { error: "Query param `prompt` is required" };
+    return;
+  }
+
+  const res = await openai.createImage({
+    prompt,
+    size: "256x256",
+    n: 1,
+  });
+
+  ctx.body = { url: res.data.data[0]?.url || null };
+});
 
-// 启用路由
 app.use(router.routes()).use(router.allowedMethods());
 
-// 启动服务器
-app.listen(process.env.PORT, () => {
-    console.log("Server is listening on port " + process.env.PORT);
+app.listen(port, () => {
+  console.log(`Server is listening on port ${port}`);
 });
 

railway.toml

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+[build]
+builder = "NIXPACKS"
+
+[deploy]
+startCommand = "yarn start"
+healthcheckPath = "/health"
+restartPolicyType = "ON_FAILURE"
+restartPolicyMaxRetries = 10