List Run Messages
Get response messages associated with a run.
Path ParametersExpand Collapse
Query ParametersExpand Collapse
after: optional string
Message ID cursor for pagination. Returns messages that come after this message ID in the specified sort order
before: optional string
Message ID cursor for pagination. Returns messages that come before this message ID in the specified sort order
limit: optional number
Maximum number of messages to return
order: optional "asc" or "desc"
Sort order for messages by creation time. 'asc' for oldest first, 'desc' for newest first
order_by: optional "created_at"
Field to sort by
ReturnsExpand Collapse
SystemMessage = object { id, content, date, 8 more }
A message generated by the system. Never streamed back on a response, only used for cursor pagination.
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (str): The message content sent by the system
content: string
The message content sent by the system
message_type: optional "system_message"
The type of the message.
UserMessage = object { id, content, date, 8 more }
A message sent by the user. Never streamed back on a response, only used for cursor pagination.
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (Union[str, List[LettaUserMessageContentUnion]]): The message content sent by the user (can be a string or an array of multi-modal content parts)
The message content sent by the user (can be a string or an array of multi-modal content parts)
TextContent = object { text, signature, type }
text: string
The text content of the message.
signature: optional string
Stores a unique identifier for any reasoning associated with this text content.
type: optional "text"
The type of the message.
ImageContent = object { source, type }
source: object { url, type } or object { data, media_type, detail, type } or object { file_id, data, detail, 2 more }
The source of the image.
URL = object { url, type }
url: string
The URL of the image.
type: optional "url"
The source type for the image.
Base64 = object { data, media_type, detail, type }
data: string
The base64 encoded image data.
media_type: string
The media type for the image.
detail: optional string
What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide)
type: optional "base64"
The source type for the image.
Letta = object { file_id, data, detail, 2 more }
file_id: string
The unique identifier of the image file persisted in storage.
data: optional string
The base64 encoded image data.
detail: optional string
What level of detail to use when processing and understanding the image (low, high, or auto to let the model decide)
media_type: optional string
The media type for the image.
type: optional "letta"
The source type for the image.
type: optional "image"
The type of the message.
message_type: optional "user_message"
The type of the message.
ReasoningMessage = object { id, date, reasoning, 10 more }
Representation of an agent's internal reasoning.
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message source (Literal["reasoner_model", "non_reasoner_model"]): Whether the reasoning content was generated natively by a reasoner model or derived via prompting reasoning (str): The internal reasoning of the agent signature (Optional[str]): The model-generated signature of the reasoning step
message_type: optional "reasoning_message"
The type of the message.
source: optional "reasoner_model" or "non_reasoner_model"
HiddenReasoningMessage = object { id, date, state, 9 more }
Representation of an agent's internal reasoning where reasoning content has been hidden from the response.
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message state (Literal["redacted", "omitted"]): Whether the reasoning content was redacted by the provider or simply omitted by the API hidden_reasoning (Optional[str]): The internal reasoning of the agent
state: "redacted" or "omitted"
message_type: optional "hidden_reasoning_message"
The type of the message.
ToolCallMessage = object { id, date, tool_call, 9 more }
A message representing a request to call a tool (generated by the LLM to trigger tool execution).
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_call (Union[ToolCall, ToolCallDelta]): The tool call
Deprecatedtool_call: ToolCall { arguments, name, tool_call_id } or ToolCallDelta { arguments, name, tool_call_id }
ToolCall = object { arguments, name, tool_call_id }
ToolCallDelta = object { arguments, name, tool_call_id }
message_type: optional "tool_call_message"
The type of the message.
tool_calls: optional array of ToolCall { arguments, name, tool_call_id } or ToolCallDelta { arguments, name, tool_call_id }
ToolCallDelta = object { arguments, name, tool_call_id }
ToolReturnMessage = object { id, date, status, 13 more }
A message representing the return value of a tool call (generated by Letta executing the requested tool).
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_return (str): The return value of the tool (deprecated, use tool_returns) status (Literal["success", "error"]): The status of the tool call (deprecated, use tool_returns) tool_call_id (str): A unique identifier for the tool call that generated this message (deprecated, use tool_returns) stdout (Optional[List(str)]): Captured stdout (e.g. prints, logs) from the tool invocation (deprecated, use tool_returns) stderr (Optional[List(str)]): Captured stderr from the tool invocation (deprecated, use tool_returns) tool_returns (Optional[List[ToolReturn]]): List of tool returns for multi-tool support
Deprecatedstatus: "success" or "error"
message_type: optional "tool_return_message"
The type of the message.
status: "success" or "error"
type: optional "tool"
The message type to be created.
AssistantMessage = object { id, content, date, 8 more }
A message sent by the LLM in response to user input. Used in the LLM context.
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message content (Union[str, List[LettaAssistantMessageContentUnion]]): The message content sent by the agent (can be a string or an array of content parts)
The message content sent by the agent (can be a string or an array of content parts)
text: string
The text content of the message.
signature: optional string
Stores a unique identifier for any reasoning associated with this text content.
type: optional "text"
The type of the message.
message_type: optional "assistant_message"
The type of the message.
ApprovalRequestMessage = object { id, date, tool_call, 9 more }
A message representing a request for approval to call a tool (generated by the LLM to trigger tool execution).
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message tool_call (ToolCall): The tool call
Deprecatedtool_call: ToolCall { arguments, name, tool_call_id } or ToolCallDelta { arguments, name, tool_call_id }
The tool call that has been requested by the llm to run
ToolCall = object { arguments, name, tool_call_id }
ToolCallDelta = object { arguments, name, tool_call_id }
message_type: optional "approval_request_message"
The type of the message.
tool_calls: optional array of ToolCall { arguments, name, tool_call_id } or ToolCallDelta { arguments, name, tool_call_id }
The tool calls that have been requested by the llm to run, which are pending approval
ToolCallDelta = object { arguments, name, tool_call_id }
ApprovalResponseMessage = object { id, date, approval_request_id, 11 more }
A message representing a response form the user indicating whether a tool has been approved to run.
Args: id (str): The ID of the message date (datetime): The date the message was created in ISO format name (Optional[str]): The name of the sender of the message approve: (bool) Whether the tool has been approved approval_request_id: The ID of the approval request reason: (Optional[str]) An optional explanation for the provided approval status
Deprecatedapproval_request_id: optional string
The message ID of the approval request
approvals: optional array of object { approve, tool_call_id, reason, type } or ToolReturn { status, tool_call_id, tool_return, 3 more }
The list of approval responses
Approval = object { approve, tool_call_id, reason, type }
approve: boolean
Whether the tool has been approved
tool_call_id: string
The ID of the tool call that corresponds to this approval
reason: optional string
An optional explanation for the provided approval status
type: optional "approval"
The message type to be created.
ToolReturn = object { status, tool_call_id, tool_return, 3 more }
status: "success" or "error"
type: optional "tool"
The message type to be created.
Deprecatedapprove: optional boolean
Whether the tool has been approved
message_type: optional "approval_response_message"
The type of the message.
Deprecatedreason: optional string
An optional explanation for the provided approval status
SummaryMessage = object { id, date, summary, 8 more }
A message representing a summary of the conversation. Sent to the LLM as a user or system message depending on the provider.
message_type: optional "summary"
EventMessage = object { id, date, event_data, 9 more }
A message for notifying the developer that an event that has occured (e.g. a compaction). Events are NOT part of the context window.
event_type: "compaction"
message_type: optional "event"
List Run Messages
- HTTP
- TypeScript
- Python
curl https://api.letta.com/v1/runs/$RUN_ID/messages \
-H "Authorization: Bearer $LETTA_API_KEY"
[
{
"id": "id",
"content": "content",
"date": "2019-12-27T18:11:19.117Z",
"is_err": true,
"message_type": "system_message",
"name": "name",
"otid": "otid",
"run_id": "run_id",
"sender_id": "sender_id",
"seq_id": 0,
"step_id": "step_id"
}
]Returns Examples
[
{
"id": "id",
"content": "content",
"date": "2019-12-27T18:11:19.117Z",
"is_err": true,
"message_type": "system_message",
"name": "name",
"otid": "otid",
"run_id": "run_id",
"sender_id": "sender_id",
"seq_id": 0,
"step_id": "step_id"
}
]