🌱 AI Engineering · Your First AI App · cozy lesson
Structured Output from LLMs 🔒 premium preview
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10 min · 1 min read · no scary math, promise
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resp = client.chat.completions.create(
model="gpt-4o-mini",
response_format={"type":"json_object"},
messages=[{"role":"user","content":'Return {"title":str,"priority":"low|high"}'}],
)
import json; from pydantic import BaseModel
class T(BaseModel): title:str; priority:str
print(T.model_validate(json.loads(resp.choices[0].message.content)))
Prompt: field names, enums, example. Retry once with error message if invalid.
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Check your understanding
Correct answers earn XP (once each).
1. Why JSON mode?
2. Validate with…
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