[Models][Feature] Support new ERNIE reward model and add return_token_ids to reward API (#6638)

* reward model

* Add support for pooling-based inference in the reward model

* bugfix

---------

Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>

fastdeploy/entrypoints/openai/protocol.py

@@ -1079,8 +1079,10 @@ PoolingChatRequest = EmbeddingChatRequest
 
 class ChatRewardRequest(BaseModel):
     model: Optional[str] = None
+    prompt_token_ids: Optional[List[int]] = None
     messages: Union[List[Any], List[int]]
     user: Optional[str] = None
+    return_token_ids: Optional[bool] = None
 
     dimensions: Optional[int] = None
     truncate_prompt_tokens: Optional[Annotated[int, Field(ge=-1)]] = None
@@ -1151,6 +1153,8 @@ class ChatRewardRequest(BaseModel):
 class ChatRewardData(BaseModel):
     index: Optional[int] = None
     object: str = "reward"
+    prompt_token_ids: Optional[List[int]] = None
+    prompt_tokens: Optional[str] = None
     score: List[float]