--- slug: python-reference/Message --- ## Message ```python class Message(BaseMessage) ``` Letta's internal representation of a message. Includes methods to convert to/from LLM provider formats. **Attributes**: - `id` _str_ - The unique identifier of the message. - `role` _MessageRole_ - The role of the participant. - `content` _List[MessageContent]_ - The content of the message. - `user_id` _str_ - The unique identifier of the user. - `agent_id` _str_ - The unique identifier of the agent. - `model` _str_ - The model used to make the function call. - `name` _str_ - The name of the participant. - `created_at` _datetime_ - The time the message was created. - `tool_calls` _List[ToolCall]_ - The list of tool calls requested. - `tool_call_id` _str_ - The id of the tool call. #### to\_letta\_message ```python def to_letta_message() -> List[LettaMessage] ``` Convert message object (in DB format) to the style used by the original Letta API #### dict\_to\_message ```python @staticmethod def dict_to_message(user_id: str, agent_id: str, openai_message_dict: dict, model: Optional[str] = None, allow_functions_style: bool = False, created_at: Optional[datetime] = None, id: Optional[str] = None) ``` Convert a ChatCompletion message object into a Message object (synced to DB) #### to\_openai\_dict ```python def to_openai_dict(max_tool_id_length: int = TOOL_CALL_ID_MAX_LEN, put_inner_thoughts_in_kwargs: bool = False) -> dict ``` Go from Message class to ChatCompletion message object #### to\_anthropic\_dict ```python def to_anthropic_dict(inner_thoughts_xml_tag="thinking") -> dict ``` Convert to an Anthropic message dictionary **Arguments**: - `inner_thoughts_xml_tag` _str_ - The XML tag to wrap around inner thoughts #### to\_google\_ai\_dict ```python def to_google_ai_dict(put_inner_thoughts_in_kwargs: bool = True) -> dict ``` Go from Message class to Google AI REST message object