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Input schema
The fields you can use to run this model with an API. If you don’t give a value for a field its default value will be used.
| Field | Type | Default value | Description |
|---|---|---|---|
| prompt |
string
|
The prompt to send to the model. Do not use if using messages.
|
|
| system_prompt |
string
|
System prompt to set the assistant's behavior
|
|
| messages |
array
|
[]
|
A JSON string representing a list of messages. For example: [{"role": "user", "content": "Hello, how are you?"}]. If provided, prompt and system_prompt are ignored.
|
| image_input |
array
|
[]
|
List of images to send to the model
|
| reasoning_effort |
None
|
none
|
Constrains effort on reasoning for GPT-5.4. Supported values are none, low, medium, high, and xhigh. The default none provides fast, low-latency responses similar to GPT-4.1 in speed. Higher reasoning efforts produce more thorough answers but use more tokens and take longer. For higher reasoning efforts you may need to increase your max_completion_tokens to avoid empty responses (where all the tokens are used on reasoning).
|
| verbosity |
None
|
medium
|
Constrains the verbosity of the model's response. Lower values will result in more concise responses, while higher values will result in more verbose responses. Currently supported values are low, medium, and high. GPT-5 supports this parameter to help control whether answers are short and to the point or long and comprehensive.
|
| max_completion_tokens |
integer
|
Maximum number of completion tokens to generate. For higher reasoning efforts you may need to increase your max_completion_tokens to avoid empty responses (where all the tokens are used on reasoning).
|
Output schema
The shape of the response you’ll get when you run this model with an API.
Schema
{'items': {'type': 'string'},
'title': 'Output',
'type': 'array',
'x-cog-array-display': 'concatenate',
'x-cog-array-type': 'iterator'}