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letta-server/fern/python-reference/Message.mdx
2025-09-09 09:35:12 -07:00

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---
slug: python-reference/Message
---
<a id="letta.schemas.message.Message"></a>
## 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.
<a id="letta.schemas.message.Message.to_letta_message"></a>
#### 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
<a id="letta.schemas.message.Message.dict_to_message"></a>
#### 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)
<a id="letta.schemas.message.Message.to_openai_dict"></a>
#### 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
<a id="letta.schemas.message.Message.to_anthropic_dict"></a>
#### 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
<a id="letta.schemas.message.Message.to_google_ai_dict"></a>
#### 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