取消运行
The ID of the thread to which this run belongs.
The ID of the run to cancel.
OK
Represents an execution run on a thread.
The identifier, which can be referenced in API endpoints.
The object type, which is always thread.run.
The Unix timestamp (in seconds) for when the run was created.
The ID of the thread that was executed on as a part of this run.
The ID of the assistant used for execution of this run.
The status of the run, which can be either queued, in_progress, requires_action, cancelling, cancelled, failed, completed, incomplete, or expired.
The Unix timestamp (in seconds) for when the run will expire.
The Unix timestamp (in seconds) for when the run was started.
The Unix timestamp (in seconds) for when the run was cancelled.
The Unix timestamp (in seconds) for when the run failed.
The Unix timestamp (in seconds) for when the run was completed.
The model that the assistant used for this run.
The instructions that the assistant used for this run.
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.
The sampling temperature used for this run. If not set, defaults to 1.
The nucleus sampling value used for this run. If not set, defaults to 1.
The maximum number of prompt tokens specified to have been used over the course of the run.
The maximum number of completion tokens specified to have been used over the course of the run.
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.
none means the model will not call any tools and instead generates a message. auto 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.
Whether to enable parallel function calling during tool use.
trueSpecifies 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.
auto is the default value
OK
Last updated