You're looking at a specific version of this model. Jump to the model overview.
openai /gpt-5-structured:fc1375c8
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 |
|---|---|---|---|
| model |
None
|
gpt-5
|
GPT-5 model to use.
|
| prompt |
string
|
A simple text input to the model, equivalent to a text input with the user role. Ignored if input_item_list is provided.
|
|
| instructions |
string
|
A system (or developer) message inserted into the model's context. When using along with previous_response_id, the instructions from a previous response will not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.
|
|
| image_input |
array
|
[]
|
List of images to send to the model
|
| reasoning_effort |
None
|
minimal
|
Constrains effort on reasoning for GPT-5 models. Currently supported values are minimal, low, medium, and high. The minimal value gets answers back faster without extensive reasoning first. Reducing reasoning effort can result in faster responses and fewer tokens used on reasoning in a response. 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.
|
| enable_web_search |
boolean
|
False
|
Allow GPT-5 to use web search for the response.
|
| simple_schema |
array
|
[]
|
Create a JSON schema for the output to conform to. The schema will be created from a simple list of field specifications. Strings: 'thing' (defaults to string), 'thing:str', 'thing:string'. Booleans: 'is_a_thing:bool' or 'is_a_thing:boolean'. Numbers: 'count:number', 'count:int'. Lists: 'things:list' (defaults to list of strings), 'things:list:str', 'number_things:list:number', etc. Nested objects are not supported, use `json_schema` instead.
|
| input_item_list |
array
|
[]
|
A list of one or many input items to the model, containing different content types. This parameter corresponds with the `input` OpenAI API parameter. For more details see: https://platform.openai.com/docs/api-reference/responses/create#responses_create-input. Similar to the `messages` parameter, but with more flexibility in the content types.
|
| previous_response_id |
string
|
The ID of a previous response to continue from.
|
|
| tools |
array
|
[]
|
Tools to make available to the model. Should be a JSON object containing a list of tool definitions.
|
| json_schema |
object
|
{}
|
A JSON schema that the response must conform to. For simple data structures we recommend using `simple_text_format_schema` which will be converted to a JSON schema for you.
|
| max_output_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
{'title': 'Output', 'type': 'object'}