Bases: Struct
 Request for a LoRA adapter.
 Note that this class should be used internally. For online serving, it is recommended to not allow users to use this class but instead provide another layer of abstraction to prevent users from accessing unauthorized LoRA adapters.
 lora_int_id must be globally unique for a given adapter. This is currently not enforced in vLLM.
  Source code in vllm/lora/request.py
 |  | class LoRARequest(
    msgspec.Struct,
    omit_defaults=True,  # type: ignore[call-arg]
    array_like=True,
):  # type: ignore[call-arg]
    """
    Request for a LoRA adapter.
    Note that this class should be used internally. For online
    serving, it is recommended to not allow users to use this class but
    instead provide another layer of abstraction to prevent users from
    accessing unauthorized LoRA adapters.
    lora_int_id must be globally unique for a given adapter.
    This is currently not enforced in vLLM.
    """
    lora_name: str
    lora_int_id: int
    lora_path: str = ""
    lora_local_path: str | None = msgspec.field(default=None)
    long_lora_max_len: int | None = None
    base_model_name: str | None = msgspec.field(default=None)
    tensorizer_config_dict: dict | None = None
    def __post_init__(self):
        if self.lora_int_id < 1:
            raise ValueError(f"id must be > 0, got {self.lora_int_id}")
        if self.lora_local_path:
            warnings.warn(
                "The 'lora_local_path' attribute is deprecated "
                "and will be removed in a future version. "
                "Please use 'lora_path' instead.",
                DeprecationWarning,
                stacklevel=2,
            )
            if not self.lora_path:
                self.lora_path = self.lora_local_path or ""
        # Ensure lora_path is not empty
        assert self.lora_path, "lora_path cannot be empty"
    @property
    def adapter_id(self):
        return self.lora_int_id
    @property
    def name(self):
        return self.lora_name
    @property
    def path(self):
        return self.lora_path
    @property
    def local_path(self):
        warnings.warn(
            "The 'local_path' attribute is deprecated "
            "and will be removed in a future version. "
            "Please use 'path' instead.",
            DeprecationWarning,
            stacklevel=2,
        )
        return self.lora_path
    @local_path.setter
    def local_path(self, value):
        warnings.warn(
            "The 'local_path' attribute is deprecated "
            "and will be removed in a future version. "
            "Please use 'path' instead.",
            DeprecationWarning,
            stacklevel=2,
        )
        self.lora_path = value
    def __eq__(self, value: object) -> bool:
        """
        Overrides the equality method to compare LoRARequest
        instances based on lora_name. This allows for identification
        and comparison lora adapter across engines.
        """
        return isinstance(value, self.__class__) and self.lora_name == value.lora_name
    def __hash__(self) -> int:
        """
        Overrides the hash method to hash LoRARequest instances
        based on lora_name. This ensures that LoRARequest instances
        can be used in hash-based collections such as sets and dictionaries,
        identified by their names across engines.
        """
        return hash(self.lora_name)
 | 
      class-attribute instance-attribute  
 base_model_name: str | None = field(default=None)
 
     property writable  
   
     class-attribute instance-attribute  
 long_lora_max_len: int | None = None
 
     instance-attribute  
   
     class-attribute instance-attribute  
 lora_local_path: str | None = field(default=None)
 
     instance-attribute  
   
     class-attribute instance-attribute  
   
       class-attribute instance-attribute  
 tensorizer_config_dict: dict | None = None
 
     
   Overrides the equality method to compare LoRARequest instances based on lora_name. This allows for identification and comparison lora adapter across engines.
  Source code in vllm/lora/request.py
 |  | def __eq__(self, value: object) -> bool:
    """
    Overrides the equality method to compare LoRARequest
    instances based on lora_name. This allows for identification
    and comparison lora adapter across engines.
    """
    return isinstance(value, self.__class__) and self.lora_name == value.lora_name
 | 
        
   Overrides the hash method to hash LoRARequest instances based on lora_name. This ensures that LoRARequest instances can be used in hash-based collections such as sets and dictionaries, identified by their names across engines.
  Source code in vllm/lora/request.py
 |  | def __hash__(self) -> int:
    """
    Overrides the hash method to hash LoRARequest instances
    based on lora_name. This ensures that LoRARequest instances
    can be used in hash-based collections such as sets and dictionaries,
    identified by their names across engines.
    """
    return hash(self.lora_name)
 | 
        
    Source code in vllm/lora/request.py
 |  | def __post_init__(self):
    if self.lora_int_id < 1:
        raise ValueError(f"id must be > 0, got {self.lora_int_id}")
    if self.lora_local_path:
        warnings.warn(
            "The 'lora_local_path' attribute is deprecated "
            "and will be removed in a future version. "
            "Please use 'lora_path' instead.",
            DeprecationWarning,
            stacklevel=2,
        )
        if not self.lora_path:
            self.lora_path = self.lora_local_path or ""
    # Ensure lora_path is not empty
    assert self.lora_path, "lora_path cannot be empty"
 |