GET
/
threads
/
{thread_id}
/
runs
/
{run_id}

Authorizations

x-portkey-api-key
string
headerrequired
x-portkey-virtual-key
string
headerrequired

Path Parameters

thread_id
string
required

The ID of the thread that was run.

run_id
string
required

The ID of the run to retrieve.

Response

200 - application/json

Represents an execution run on a thread.

id
string
required

The identifier, which can be referenced in API endpoints.

object
enum<string>
required

The object type, which is always thread.run.

Available options:
thread.run
created_at
integer
required

The Unix timestamp (in seconds) for when the run was created.

thread_id
string
required

The ID of the thread that was executed on as a part of this run.

assistant_id
string
required

The ID of the assistant used for execution of this run.

status
enum<string>
required

The status of the run, which can be either queued, in_progress, requires_action, cancelling, cancelled, failed, completed, incomplete, or expired.

Available options:
queued,
in_progress,
requires_action,
cancelling,
cancelled,
failed,
completed,
incomplete,
expired
required_action
object | null
required

Details on the action required to continue the run. Will be null if no action is required.

last_error
object | null
required

The last error associated with this run. Will be null if there are no errors.

expires_at
integer | null
required

The Unix timestamp (in seconds) for when the run will expire.

started_at
integer | null
required

The Unix timestamp (in seconds) for when the run was started.

cancelled_at
integer | null
required

The Unix timestamp (in seconds) for when the run was cancelled.

failed_at
integer | null
required

The Unix timestamp (in seconds) for when the run failed.

completed_at
integer | null
required

The Unix timestamp (in seconds) for when the run was completed.

incomplete_details
object | null
required

Details on why the run is incomplete. Will be null if the run is not incomplete.

model
string
required

The model that the assistant used for this run.

instructions
string
required

The instructions that the assistant used for this run.

tools
object[]
required

The list of tools that the assistant used for this run.

metadata
object | null
required

Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format. Keys can be a maximum of 64 characters long and values can be a maxium of 512 characters long.

usage
object | null
required

Usage statistics related to the run. This value will be null if the run is not in a terminal state (i.e. in_progress, queued, etc.).

max_prompt_tokens
integer | null
required

The maximum number of prompt tokens specified to have been used over the course of the run.

Required range: x > 256
max_completion_tokens
integer | null
required

The maximum number of completion tokens specified to have been used over the course of the run.

Required range: x > 256
truncation_strategy
object
required

Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.

tool_choice
required

Controls which (if any) tool is called by the model. none means the model will not call any tools and instead generates a message. auto is the default value and means the model can pick between generating a message or calling one or more tools. required means the model must call one or more tools before responding to the user. Specifying a particular tool like {"type": "file_search"} or {"type": "function", "function": {"name": "my_function"}} forces the model to call that tool.

Available options:
none,
auto,
required
parallel_tool_calls
boolean
default: truerequired

Whether to enable parallel function calling during tool use.

response_format
required

Specifies the format that the model must output. Compatible with GPT-4o, GPT-4 Turbo, and all GPT-3.5 Turbo models since gpt-3.5-turbo-1106.

Setting to { "type": "json_object" } enables JSON mode, which guarantees the message the model generates is valid JSON.

Important: when using JSON mode, you must also instruct the model to produce JSON yourself via a system or user message. Without this, the model may generate an unending stream of whitespace until the generation reaches the token limit, resulting in a long-running and seemingly "stuck" request. Also note that the message content may be partially cut off if finish_reason="length", which indicates the generation exceeded max_tokens or the conversation exceeded the max context length.

Available options:
none,
auto
temperature
number | null

The sampling temperature used for this run. If not set, defaults to 1.

top_p
number | null

The nucleus sampling value used for this run. If not set, defaults to 1.

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