[docs]classSystemMessage(BaseMessage):"""Message for priming AI behavior. The system message is usually passed in as the first of a sequence of input messages. Example: .. code-block:: python from langchain_core.messages import HumanMessage, SystemMessage messages = [ SystemMessage( content="You are a helpful assistant! Your name is Bob." ), HumanMessage( content="What is your name?" ) ] # Define a chat model and invoke it with the messages print(model.invoke(messages)) """type:Literal["system"]="system""""The type of the message (used for serialization). Defaults to "system"."""@classmethoddefget_lc_namespace(cls)->list[str]:"""Get the namespace of the langchain object. Default is ["langchain", "schema", "messages"]."""return["langchain","schema","messages"]def__init__(self,content:Union[str,list[Union[str,dict]]],**kwargs:Any)->None:"""Pass in content as positional arg. Args: content: The string contents of the message. kwargs: Additional fields to pass to the message. """super().__init__(content=content,**kwargs)
SystemMessage.model_rebuild()
[docs]classSystemMessageChunk(SystemMessage,BaseMessageChunk):"""System Message chunk."""# Ignoring mypy re-assignment here since we're overriding the value# to make sure that the chunk variant can be discriminated from the# non-chunk variant.type:Literal["SystemMessageChunk"]="SystemMessageChunk"# type: ignore[assignment]"""The type of the message (used for serialization). Defaults to "SystemMessageChunk"."""@classmethoddefget_lc_namespace(cls)->list[str]:"""Get the namespace of the langchain object. Default is ["langchain", "schema", "messages"]."""return["langchain","schema","messages"]