text: Here is how it works:Using Global settings:# define global settings for all prompty (if not set - chatGPT is the current default)from langchain_decorators import GlobalSettingsGlobalSettings.define_settings(    default_llm=ChatOpenAI(temperature=0.0), this is default... can change it here globally    default_streaming_llm=ChatOpenAI(temperature=0.0,streaming=True), this is default... can change it here for all ... will be used for streaming)Using predefined prompt types#You can change the default prompt typesfrom langchain_decorators import PromptTypes, PromptTypeSettingsPromptTypes.AGENT_REASONING.llm = ChatOpenAI()# Or you can just define your own ones:class MyCustomPromptTypes(PromptTypes):    GPT4=PromptTypeSettings(llm=ChatOpenAI(model="gpt-4"))@llm_prompt(prompt_type=MyCustomPromptTypes.GPT4) def write_a_complicated_code(app_idea:str)->str:    ...Define the settings directly in the decoratorfrom langchain.llms import OpenAI@llm_prompt(    llm=OpenAI(temperature=0.7),    stop_tokens=["\nObservation"],    ...    )def creative_writer(book_title:str)->str:    ...Passing a memory and/or callbacks:â€‹To pass any of these, just declare them in the function (or use kwargs to pass anything)@llm_prompt()async def write_me_short_post(topic:str, platform:str="twitter", memory:SimpleMemory = None):    """    {history_key}    Write me a short header for my post about {topic} for {platform} platform.     It should be for {audience} audience.    (Max 15