class_docstr: Reference: https://us-west-2.console.aws.amazon.com/bedrock/home?region=us-west-2#/providers?model=command
  
  Supported Params for the Amazon / Cohere models:
  
  - `max_tokens` (integer) max tokens,
  - `temperature` (float) model temperature,
  - `return_likelihood` (string) n/a
class_docstr_tok: ["Reference",":","https",":","\/\/us-west-2.console.aws.amazon.com\/bedrock\/home","?","region=us-west-2","#","\/providers","?","model=command","Supported","Params","for","the","Amazon","\/","Cohere","models",":","-","`","max_tokens","`","(","integer",")","max","tokens",",","-","`","temperature","`","(","float",")","model","temperature",",","-","`","return_likelihood","`","(","string",")","n\/a"]
code: def __init__(
      self,
      max_tokens: Optional[int] = None,
      temperature: Optional[float] = None,
      return_likelihood: Optional[str] = None,
  ) -> None:
      locals_ = locals()
      for key, value in locals_.items():
          if key != "self" and value is not None:
              setattr(self.__class__, key, value)
  
imports: import json, copy, types
  import os
  from enum import Enum
  import time
  from typing import Callable, Optional, Any, Union
  import litellm
  from litellm.utils import ModelResponse, get_secret, Usage
  from .prompt_templates.factory import prompt_factory, custom_prompt
  import httpx
label_desc: Use image node_id 1 to create a new AmazonCohereConfig object  with example: obj = AmazonCohereConfig(max_tokens, temperature, return_likelihood)