Use responses API for OpenAI

app/smart_recommendation.py

@@ -5,15 +5,13 @@ from collections import defaultdict
 from datetime import datetime, timedelta
 from typing import Dict, List
 
-import openai
+import requests
 from dotenv import load_dotenv
 
 from app.models import BudgetRecommendation, CategoryExpense
 
 load_dotenv()
 OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
-if OPENAI_API_KEY:
-    openai.api_key = OPENAI_API_KEY
 
 class SmartBudgetRecommender:
     """
@@ -262,15 +260,23 @@ class SmartBudgetRecommender:
         )
 
         try:
-            response = openai.ChatCompletion.create(
-                model="gpt-4o-mini",
-                temperature=0.1,
-                messages=[
-                    {"role": "system", "content": "You are an Indian personal finance coach who outputs JSON."},
-                    {"role": "user", "content": prompt},
-                ],
+            response = requests.post(
+                "https://api.openai.com/v1/responses",
+                headers={
+                    "Authorization": f"Bearer {OPENAI_API_KEY}",
+                    "Content-Type": "application/json",
+                },
+                json={
+                    "model": "gpt-4.1-mini",
+                    "input": prompt,
+                    "temperature": 0.1,
+                    "response_format": {"type": "json_object"},
+                },
+                timeout=30,
             )
-            content = response.choices[0].message["content"]
+            response.raise_for_status()
+            data = response.json()
+            content = data["output"][0]["content"][0]["text"]
             return json.loads(content)
         except Exception as exc:
             print(f"OpenAI recommendation error for {category}: {exc}")

requirements.txt

@@ -3,7 +3,6 @@ uvicorn[standard]==0.24.0
 pymongo==4.6.0
 pydantic==2.5.0
 python-multipart==0.0.6
-openai==1.51.0
 python-dotenv==1.0.1
-httpx==0.27.0
+requests==2.32.3