The ID of the thread to which this run belongs.
The ID of the run that requires the tool output submission.
The ID of the thread to which this run belongs.
The ID of the run that requires the tool output submission.
A list of tools for which the outputs are being submitted.
If true, returns a stream of events that happen during the Run as server-sent events, terminating when the Run enters a terminal state with a data: [DONE] message.
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.
Allowed values: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.
Allowed values:queuedin_progressrequires_actioncancellingcancelledfailedcompletedincompleteexpired
Details on the action required to continue the run. Will be null if no action is required.
The last error associated with this run. Will be null if there are no errors.
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.
Details on why the run is incomplete. Will be null if the run is not incomplete.
The model that the assistant used for this run.
The instructions that the assistant used for this run.
One OfThe list of tools that the assistant used for this run.
Default:[]
<= 20 items
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, and querying for objects via API or the dashboard.
Keys are strings with a maximum length of 64 characters. Values are strings
with a maximum length of 512 characters.
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.).
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.
>= 256
The maximum number of completion tokens specified to have been used over the course of the run.
>= 256
Controls for how a thread will be truncated prior to the run. Use this to control the intial context window of the run.
One Ofnone 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.
Allowed values:noneautorequired
Whether to enable parallel function calling during tool use.
Default:true
One Ofauto is the default value
Allowed values:auto
Turn audio into text or text into audio.
Any OfOne of the available TTS models: tts-1 or tts-1-hd
The text to generate audio for. The maximum length is 4096 characters.
<= 4096 characters
The voice to use when generating the audio. Supported voices are alloy, ash, coral, echo, fable, onyx, nova, sage and shimmer. Previews of the voices are available in the Text to speech guide.
Allowed values:alloyashcoralechofableonyxnovasageshimmer
The format to audio in. Supported formats are mp3, opus, aac, flac, wav, and pcm.
Allowed values:mp3opusaacflacwavpcm
Default:mp3
The speed of the generated audio. Select a value from 0.25 to 4.0. 1.0 is the default.
Default:1
>= 0.25<= 4
OK
The audio file object (not file name) to transcribe, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
Any OfID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.
Example:whisper-1
The language of the input audio. Supplying the input language in ISO-639-1 (e.g. en) format will improve accuracy and latency.
An optional text to guide the model’s style or continue a previous audio segment. The prompt should match the audio language.
The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.
Allowed values:jsontextsrtverbose_jsonvtt
Default:json
The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.
Default:0
The timestamp granularities to populate for this transcription. response_format must be set verbose_json to use timestamp granularities. Either or both of these options are supported: word, or segment. Note: There is no additional latency for segment timestamps, but generating word timestamps incurs additional latency.
Allowed values:wordsegment
Default:segment
OK
One OfThe transcribed text.
The audio file object (not file name) translate, in one of these formats: flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
Any OfID of the model to use. Only whisper-1 (which is powered by our open source Whisper V2 model) is currently available.
Example:whisper-1
An optional text to guide the model’s style or continue a previous audio segment. The prompt should be in English.
The format of the output, in one of these options: json, text, srt, verbose_json, or vtt.
Allowed values:jsontextsrtverbose_jsonvtt
Default:json
The sampling temperature, between 0 and 1. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. If set to 0, the model will use log probability to automatically increase the temperature until certain thresholds are hit.
Default:0
OK
One Of