class_docstr: A [`Tool`] that will make requests to an inference endpoint.
  
  Args:
      endpoint_url (`str`, *optional*):
          The url of the endpoint to use.
      token (`str`, *optional*):
          The token to use as HTTP bearer authorization for remote files. If unset, will use the token generated when
          running `huggingface-cli login` (stored in `~/.huggingface`).
      tool_class (`type`, *optional*):
          The corresponding `tool_class` if this is a remote version of an existing tool. Will help determine when
          the output should be converted to another type (like images).
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docstr: Prepare the inputs received for the HTTP client sending data to the endpoint. Positional arguments will be
  matched with the signature of the `tool_class` if it was provided at instantation. Images will be encoded into
  bytes.
  
  You can override this method in your custom class of [`RemoteTool`].
docstr_tok: ["Prepare","the","inputs","received","for","the","HTTP","client","sending","data","to","the","endpoint",".","Positional","arguments","will","be","matched","with","the","signature","of","the","`","tool_class","`","if","it","was","provided","at","instantation",".","Images","will","be","encoded","into","bytes",".","You","can","override","this","method","in","your","custom","class","of","[","`","RemoteTool","`","]","."]
code: def prepare_inputs(self, *args, **kwargs):
      """
      Prepare the inputs received for the HTTP client sending data to the endpoint. Positional arguments will be
      matched with the signature of the `tool_class` if it was provided at instantation. Images will be encoded into
      bytes.
  
      You can override this method in your custom class of [`RemoteTool`].
      """
      inputs = kwargs.copy()
      if len(args) > 0:
          if self.tool_class is not None:
              # Match args with the signature
              if issubclass(self.tool_class, PipelineTool):
                  call_method = self.tool_class.encode
              else:
                  call_method = self.tool_class.__call__
              signature = inspect.signature(call_method).parameters
              parameters = [
                  k
                  for k, p in signature.items()
                  if p.kind
                  not in [
                      inspect._ParameterKind.VAR_POSITIONAL,
                      inspect._ParameterKind.VAR_KEYWORD,
                  ]
              ]
              if parameters[0] == "self":
                  parameters = parameters[1:]
              if len(args) > len(parameters):
                  raise ValueError(
                      f"{self.tool_class} only accepts {len(parameters)} arguments but {len(args)} were given."
                  )
              for arg, name in zip(args, parameters):
                  inputs[name] = arg
          elif len(args) > 1:
              raise ValueError(
                  "A `RemoteTool` can only accept one positional input."
              )
          elif len(args) == 1:
              if is_pil_image(args[0]):
                  return {"inputs": self.client.encode_image(args[0])}
              return {"inputs": args[0]}
  
      for key, value in inputs.items():
          if is_pil_image(value):
              inputs[key] = self.client.encode_image(value)
  
      return {"inputs": inputs}
  
imports: import base64
  import importlib
  import inspect
  import io
  import json
  import os
  import tempfile
  from typing import Any, Dict, List, Optional, Union
  from huggingface_hub import create_repo, hf_hub_download, metadata_update, upload_folder
  from huggingface_hub.utils import RepositoryNotFoundError, build_hf_headers, get_session
  from ..dynamic_module_utils import custom_object_save, get_class_from_dynamic_module, get_imports
  from ..image_utils import is_pil_image
  from ..models.auto import AutoProcessor
  from ..utils import CONFIG_NAME, cached_file, is_accelerate_available, is_torch_available, is_vision_available, logging
  from .agent_types import handle_agent_inputs, handle_agent_outputs
label_desc: Use image node_id 2 for calling the RemoteTool obj's underlying member method code with example usage: obj.prepare_inputs() and returns: dict, dict, dict