code: def completions_to_model(cls, payload, config):
      n = payload.pop("n", 1)
      if n != 1:
          raise HTTPException(
              status_code=422,
              detail="'n' must be '1' for AWS Titan models. Received value: '{n}'.",
          )
  
      # The range of Titan's temperature is 0-1, but ours is 0-2, so we halve it
      if "temperature" in payload:
          payload["temperature"] = 0.5 * payload["temperature"]
      return {
          "inputText": payload.pop("prompt"),
          "textGenerationConfig": rename_payload_keys(
              payload,
              {"max_tokens": "maxTokenCount", "stop": "stopSequences"},
          ),
      }
  
imports: import json
  import time
  from enum import Enum
  import boto3
  import botocore.config
  import botocore.exceptions
  from fastapi import HTTPException
  from fastapi.encoders import jsonable_encoder
  from mlflow.gateway.config import AWSBedrockConfig, AWSIdAndKey, AWSRole, RouteConfig
  from mlflow.gateway.constants import MLFLOW_AI_GATEWAY_ANTHROPIC_DEFAULT_MAX_TOKENS
  from mlflow.gateway.exceptions import AIGatewayConfigException
  from mlflow.gateway.providers.anthropic import AnthropicAdapter
  from mlflow.gateway.providers.base import BaseProvider, ProviderAdapter
  from mlflow.gateway.providers.cohere import CohereAdapter
  from mlflow.gateway.providers.utils import rename_payload_keys
  from mlflow.gateway.schemas import chat, completions, embeddings
label_desc: Use image node_id 1 for calling the AWSTitanAdapter obj's underlying member method code with example usage: obj.completions_to_model(cls, payload, config) and returns: dict