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Retrieve Run

runs.retrieve(strrun_id) -> Run
get/v1/runs/{run_id}

Get the status of a run.

ParametersExpand Collapse
run_id: str
ReturnsExpand Collapse
class Run:

Representation of a run - a conversation or processing session for an agent. Runs track when agents process messages and maintain the relationship between agents, steps, and messages.

id: str

The human-friendly ID of the Run

agent_id: str

The unique identifier of the agent associated with the run.

background: Optional[bool]

Whether the run was created in background mode.

base_template_id: Optional[str]

The base template ID that the run belongs to.

callback_error: Optional[str]

Optional error message from attempting to POST the callback endpoint.

callback_sent_at: Optional[datetime]

Timestamp when the callback was last attempted.

formatdate-time
callback_status_code: Optional[int]

HTTP status code returned by the callback endpoint.

callback_url: Optional[str]

If set, POST to this URL when the run completes.

completed_at: Optional[datetime]

The timestamp when the run was completed.

formatdate-time
created_at: Optional[datetime]

The timestamp when the run was created.

formatdate-time
metadata: Optional[Dict[str, object]]

Additional metadata for the run.

request_config: Optional[RequestConfig]

The request configuration for the run.

assistant_message_tool_kwarg: Optional[str]

The name of the message argument in the designated message tool.

assistant_message_tool_name: Optional[str]

The name of the designated message tool.

include_return_message_types: Optional[List[MessageType]]

Only return specified message types in the response. If None (default) returns all messages.

Accepts one of the following:
"system_message"
"user_message"
"assistant_message"
"reasoning_message"
"hidden_reasoning_message"
"tool_call_message"
"tool_return_message"
"approval_request_message"
"approval_response_message"
use_assistant_message: Optional[bool]

Whether the server should parse specific tool call arguments (default send_message) as AssistantMessage objects.

status: Optional[Literal["created", "running", "completed", 2 more]]

The current status of the run.

Accepts one of the following:
"created"
"running"
"completed"
"failed"
"cancelled"
stop_reason: Optional[StopReasonType]

The reason why the run was stopped.

Accepts one of the following:
"end_turn"
"error"
"llm_api_error"
"invalid_llm_response"
"invalid_tool_call"
"max_steps"
"no_tool_call"
"tool_rule"
"cancelled"
"requires_approval"
total_duration_ns: Optional[int]

Total run duration in nanoseconds

ttft_ns: Optional[int]

Time to first token for a run in nanoseconds

Retrieve Run
from letta_client import Letta

client = Letta(
    api_key="My API Key",
)
run = client.runs.retrieve(
    "run_id",
)
print(run.id)
{
  "id": "run-123e4567-e89b-12d3-a456-426614174000",
  "agent_id": "agent_id",
  "background": true,
  "base_template_id": "base_template_id",
  "callback_error": "callback_error",
  "callback_sent_at": "2019-12-27T18:11:19.117Z",
  "callback_status_code": 0,
  "callback_url": "callback_url",
  "completed_at": "2019-12-27T18:11:19.117Z",
  "created_at": "2019-12-27T18:11:19.117Z",
  "metadata": {
    "foo": "bar"
  },
  "request_config": {
    "assistant_message_tool_kwarg": "assistant_message_tool_kwarg",
    "assistant_message_tool_name": "assistant_message_tool_name",
    "include_return_message_types": [
      "system_message"
    ],
    "use_assistant_message": true
  },
  "status": "created",
  "stop_reason": "end_turn",
  "total_duration_ns": 0,
  "ttft_ns": 0
}
Returns Examples
{
  "id": "run-123e4567-e89b-12d3-a456-426614174000",
  "agent_id": "agent_id",
  "background": true,
  "base_template_id": "base_template_id",
  "callback_error": "callback_error",
  "callback_sent_at": "2019-12-27T18:11:19.117Z",
  "callback_status_code": 0,
  "callback_url": "callback_url",
  "completed_at": "2019-12-27T18:11:19.117Z",
  "created_at": "2019-12-27T18:11:19.117Z",
  "metadata": {
    "foo": "bar"
  },
  "request_config": {
    "assistant_message_tool_kwarg": "assistant_message_tool_kwarg",
    "assistant_message_tool_name": "assistant_message_tool_name",
    "include_return_message_types": [
      "system_message"
    ],
    "use_assistant_message": true
  },
  "status": "created",
  "stop_reason": "end_turn",
  "total_duration_ns": 0,
  "ttft_ns": 0
}