code: def parsed_completions_response():
      return {
          "id": None,
          "object": "text_completion",
          "created": 1677858242,
          "model": "claude-instant-1.1",
          "choices": [
              {
                  "text": "Here is a basic overview of how a car works:\n\n1. The engine. "
                  "The engine is the power source that makes the car move.",
                  "index": 0,
                  "finish_reason": "length",
              }
          ],
          "usage": {
              "prompt_tokens": None,
              "completion_tokens": None,
              "total_tokens": None,
          },
      }
  
file_path: mlflow/tests/gateway/providers/test_anthropic.py
imports: from unittest import mock
  import pytest
  from aiohttp import ClientTimeout
  from fastapi import HTTPException
  from fastapi.encoders import jsonable_encoder
  from pydantic import ValidationError
  from mlflow.gateway.config import RouteConfig
  from mlflow.gateway.constants import MLFLOW_AI_GATEWAY_ANTHROPIC_MAXIMUM_MAX_TOKENS, MLFLOW_GATEWAY_ROUTE_TIMEOUT_SECONDS
  from mlflow.gateway.providers.anthropic import AnthropicProvider
  from mlflow.gateway.schemas import chat, completions, embeddings
  from tests.gateway.tools import MockAsyncResponse
label_desc: Use image node_id 3 for calling a global function with example usage: parsed_completions_response() and returns: dict