class_docstr: Client for the Google models. There isn't an API for their language models.
  We receive and process completions offline.
class_docstr_tok: ["Client","for","the","Google","models",".","There","is","n't","an","API","for","their","language","models",".","We","receive","and","process","completions","offline","."]
code: def convert_to_raw_request(request: Request) -> Dict:
      return {
          "best_of": request.top_k_per_token,
          "echo": request.echo_prompt,
          "logprobs": request.top_k_per_token,
          "max_tokens": request.max_tokens,
          "model": request.model_engine,
          "n": request.num_completions,
          "prompt": request.prompt,
          "request_type": "language-model-inference",
          "stop": request.stop_sequences or None,
          "temperature": request.temperature,
          "top_p": request.top_p,
      }
  
file_path: H2O/h2o_hf/helm/src/helm/proxy/clients/google_client.py
imports: from typing import List, Dict
  from helm.common.cache import Cache, CacheConfig
  from helm.common.request import Request, RequestResult, Sequence, Token
  from helm.common.tokenization_request import TokenizationRequest, TokenizationRequestResult, DecodeRequest, DecodeRequestResult
  from .client import Client, truncate_sequence
label_desc: Use image node_id 1 for calling the GoogleClient obj's underlying member method code with example usage: obj.convert_to_raw_request(request) and returns: dict