Use OpenAI API

apps/app/src/server/routes/apiv3/openai/chat.ts

@@ -1,37 +1,42 @@
 import type { Request, RequestHandler } from 'express';
 import type { ValidationChain } from 'express-validator';
+import { body } from 'express-validator';
 
 import type Crowi from '~/server/crowi';
+import { openaiService } from '~/server/service/openai';
 import loggerFactory from '~/utils/logger';
 
 import { apiV3FormValidator } from '../../../middlewares/apiv3-form-validator';
 import type { ApiV3Response } from '../interfaces/apiv3-response';
 
-
 const logger = loggerFactory('growi:routes:apiv3:openai:chat');
 
-
-type ReqParams = {
-  //
+type ReqBody = {
+  prompt: string,
 }
 
-type Req = Request<ReqParams, ApiV3Response>
+type Req = Request<undefined, ApiV3Response, ReqBody>
 
 type ChatHandlersFactory = (crowi: Crowi) => RequestHandler[];
 
 export const chatHandlersFactory: ChatHandlersFactory = (crowi) => {
   const accessTokenParser = require('../../../middlewares/access-token-parser')(crowi);
   const loginRequiredStrictly = require('../../../middlewares/login-required')(crowi);
 
-  // define validators for req.body
-  const validator: ValidationChain[] = [];
+  const validator: ValidationChain[] = [
+    body('prompt').isString().withMessage('prompt must be string'),
+  ];
 
   return [
     accessTokenParser, loginRequiredStrictly, validator, apiV3FormValidator,
     async(req: Req, res: ApiV3Response) => {
-
       try {
-        return res.apiv3({});
+        const chatCompletion = await openaiService.client.chat.completions.create({
+          messages: [{ role: 'assistant', content: req.body.prompt }],
+          model: 'gpt-3.5-turbo-0125',
+        });
+
+        return res.apiv3({ assistantMessage: chatCompletion.choices[0].message.content });
       }
       catch (err) {
         logger.error(err);