BUG in OpenAIvLLMEngine v1.9.0

[armenmkrt]

`

    lora_modules = os.getenv('LORA_MODULES', None)
    if lora_modules is not None:
        try:
            lora_modules = json.loads(lora_modules)
            lora_modules = [LoRAModulePath(**lora_modules)]
        except:
            lora_modules = None

    self.serving_models = OpenAIServingModels(
        engine_client=self.llm,
        model_config=self.model_config,
        base_model_paths=self.base_model_paths,
        lora_modules=None,
        prompt_adapters=None,
    )

    self.chat_engine = OpenAIServingChat(
        engine_client=self.llm, 
        model_config=self.model_config,
        models=self.serving_models,
        response_role=self.response_role,
        request_logger=None,
        chat_template=self.tokenizer.tokenizer.chat_template,
        chat_template_content_format="auto",
        # enable_reasoning=os.getenv('ENABLE_REASONING', 'false').lower() == 'true',
        # reasoning_parser=None,
        # return_token_as_token_ids=False,
        enable_auto_tools=os.getenv('ENABLE_AUTO_TOOL_CHOICE', 'false').lower() == 'true',
        tool_parser=os.getenv('TOOL_CALL_PARSER', "") or None,
        enable_prompt_tokens_details=False
    )

`

lora_module variable is assigned to None in OpenAIServingModels, despite being assigned other values.
Unable to use my fine-tuned model with Serverless vllm template using this version.