develop to master

package.json

@@ -58,7 +58,7 @@
     "form-data": "^4.0.0",
     "ioredis": "^5.3.2",
     "joi": "^17.6.0",
-    "openai": "^3.3.0",
+    "openai": "^4.80.0",
     "passport": "^0.6.0",
     "passport-google-oauth20": "^2.0.0",
     "passport-jwt": "^4.0.0",

src/categories/category.service.ts

@@ -551,8 +551,8 @@ Present your reply options in JSON format below.
       const response = await this.openaiService.createChatCompletion({
         model: 'o1-mini',
         question,
-        temperature: 0,
-        responseType: 'json',
+        temperature: 1,
+        // responseType: { type: 'json_object' },
       });
 
       const categoryStr = response.choices[0].message?.content;

src/common/interceptors/timeout.interceptor.ts

@@ -12,7 +12,7 @@ import { catchError, timeout } from 'rxjs/operators';
 export class TimeoutInterceptor implements NestInterceptor {
   intercept(context: ExecutionContext, next: CallHandler): Observable<any> {
     return next.handle().pipe(
-      timeout(7000), // TODO 크롤링 시 응답이 오래 걸릴 수 있으므로, API 별 인터셉터 오버라이딩 필요
+      timeout(10000), // TODO 크롤링 시 응답이 오래 걸릴 수 있으므로, API 별 인터셉터 오버라이딩 필요
       catchError((err) => {
         if (err instanceof TimeoutError) {
           console.log(err);

src/openai/dto/create-completion.dto.ts

@@ -1,8 +1,15 @@
-import { ResponseType } from 'axios';
+import {
+  ResponseFormatText,
+  ResponseFormatJSONObject,
+  ResponseFormatJSONSchema,
+} from 'openai/resources';
 
 export class CreateCompletionBodyDto {
   question!: string;
   model?: string;
   temperature?: number;
-  responseType?: ResponseType;
+  responseType?:
+    | ResponseFormatText
+    | ResponseFormatJSONObject
+    | ResponseFormatJSONSchema;
 }