fix load default max_new_tokens

ktransformers/server/api/openai/endpoints/chat.py

@@ -138,12 +138,23 @@ async def chat_completion(request: Request, create: ChatCompletionCreate):
 
     # Process messages with tool functionality if needed
     enhanced_messages = list(create.messages)
-    if create.max_tokens<0 or create.max_completion_tokens<0:
+    if create.max_tokens is not None and create.max_tokens<0:
         return JSONResponse(
             status_code=400,
             content={
             "object": "error",
-            "message": f"max_new_tokens must be at least 0, got {create.max_tokens}.",
+            "message": f"max_tokens must be at least 0, got {create.max_tokens}.",
+            "type": "BadRequestError",
+            "param": None,
+            "code": 400
+        })
+    
+    if create.max_completion_tokens is not None and create.max_completion_tokens<0:
+        return JSONResponse(
+            status_code=400,
+            content={
+            "object": "error",
+            "message": f"max_completion_tokens must be at least 0, got {create.max_completion_tokens}.",
             "type": "BadRequestError",
             "param": None,
             "code": 400

ktransformers/server/api/openai/legacy/completions.py

@@ -14,22 +14,22 @@ router = APIRouter()
 @router.post("/completions",tags=['openai'])
 async def create_completion(request:Request, create:CompletionCreate):
     id = str(uuid4())
-    if create.max_tokens<0:
+    if create.max_tokens is not None and create.max_tokens<0:
         return JSONResponse(
             status_code=400,
             content={
             "object": "error",
-            "message": f"max_new_tokens must be at least 0, got {create.max_tokens}.",
+            "message": f"max_tokens must be at least 0, got {create.max_tokens}.",
             "type": "BadRequestError",
             "param": None,
             "code": 400
         })
-    if create.max_completion_tokens<0:
+    if create.max_completion_tokens is not None and create.max_completion_tokens<0:
         return JSONResponse(
             status_code=400,
             content={
             "object": "error",
-            "message": f"max_new_tokens must be at least 0, got {create.max_completion_tokens}.",
+            "message": f"max_completion_tokens must be at least 0, got {create.max_completion_tokens}.",
             "type": "BadRequestError",
             "param": None,
             "code": 400

ktransformers/server/schemas/endpoints/chat.py

@@ -73,8 +73,8 @@ class ChatCompletionCreate(BaseModel):
     stream_options: Optional[Dict[str, Any]] = None
     frequency_penalty: float = 0
     presence_penalty: float = 0
-    max_tokens: Optional[int] = Field(default=Config().max_new_tokens)
-    max_completion_tokens: Optional[int] = Field(default=Config().max_new_tokens)
+    max_tokens: Optional[int] = Field(default=None)
+    max_completion_tokens: Optional[int] = Field(default=None)
     return_speed: Optional[bool] = Field(default=False)
     def get_tokenizer_messages(self):
         return [m.to_tokenizer_message() for m in self.messages]

ktransformers/server/schemas/legacy/completions.py

@@ -10,8 +10,8 @@ class CompletionCreate(BaseModel):
     stream: bool = False
     temperature: Optional[float] = Field(default=Config().temperature)
     top_p: Optional[float] = Field(default=Config().top_p)
-    max_tokens: Optional[int] = Field(default=Config().max_new_tokens)
-    max_completion_tokens: Optional[int] = Field(default=Config().max_new_tokens)
+    max_tokens: Optional[int] = Field(default=None)
+    max_completion_tokens: Optional[int] = Field(default=None)
     
     def get_tokenizer_messages(self):
         if isinstance(self.prompt,List):