Valida muestras JSON ajustadas a un esquema y copia patrones de solicitud por proveedor sin llamar a la API de ningún modelo.
Return JSON only.
Use the target JSON structure as the contract for keys, nesting, arrays, and value types.
Do not wrap the result in markdown.
Do not add extra keys.
Target structure:
{
"title": "Launch summary",
"score": 10,
"tags": [
"alpha"
],
"meta": {
"published": true
}
}
from openai import OpenAI
client = OpenAI()
response = client.responses.create(
model="gpt-5",
input="Return the response in the required JSON shape.",
text={
"format": {
"type": "json_schema",
"name": "structured_output",
"strict": True,
"schema": {
"type": "object",
"properties": {
"title": {
"type": "string"
},
"score": {
"type": "number"
},
"tags": {
"type": "array",
"items": {
"type": "string"
}
},
"meta": {
"type": "object",
"properties": {
"published": {
"type": "boolean"
}
},
"required": [
"published"
],
"additionalProperties": false
}
},
"required": [
"title",
"score",
"tags",
"meta"
],
"additionalProperties": false
},
}
},
)
print(response.output_text)
You are returning structured data for a downstream parser.
Output JSON only.
Match the exact keys, nesting, and value types shown below.
If a field is unknown, return a valid placeholder of the same type.
Target structure:
{
"title": "Launch summary",
"score": 10,
"tags": [
"alpha"
],
"meta": {
"published": true
}
}