Update code in endpoints/api/v1/endpoint.post.py

endpoints/api/v1/endpoint.post.py

@@ -5,36 +5,32 @@ import uuid
 router = APIRouter()
 
 @router.post("/api/v1/endpoint")
-async def process_endpoint(
-    text: str = "allllllllllllllaaaallalallalalallalalallalallalalallalallalalalalalalalalaallalalalalalalalalalalalalallalalallalalalalallalallalalalalalallalalalallalalallalalalallalalalallalalallalalal"
+async def process_ai_request(
+    prompt: str = "default_prompt",
+    model: str = "default_model"
 ):
-    """Process text pattern endpoint"""
-    
-    if not text or len(text) < 10:
-        raise HTTPException(status_code=400, detail="Text must be at least 10 characters long")
-    
+    """Process AI request endpoint"""
     request_id = str(uuid.uuid4())
     
-    # Store the request in fake database
-    fake_users_db[request_id] = {
-        "text": text,
-        "pattern_length": len(text),
-        "timestamp": "2024-01-01T00:00:00Z"  # Demo timestamp
+    if not prompt or prompt.isspace():
+        raise HTTPException(status_code=400, detail="Invalid prompt")
+    
+    response_data = {
+        "id": request_id,
+        "prompt": prompt,
+        "model": model,
+        "status": "processed",
+        "created_at": "2024-01-01T00:00:00Z"
     }
     
+    fake_users_db[request_id] = response_data
+    
     return {
-        "message": "Pattern processed successfully",
-        "request_id": request_id,
-        "analysis": {
-            "length": len(text),
-            "pattern": "repeating_characters",
-            "status": "processed"
-        },
+        "message": "AI request processed successfully",
+        "data": response_data,
         "metadata": {
-            "processing_time": "0.001s",
-            "character_frequency": {
-                "a": text.count("a"),
-                "l": text.count("l")
-            }
+            "request_id": request_id,
+            "processing_time": "0.5s",
+            "model_version": "1.0"
         }
     }