TOPIC AI
Structured Outputs enforcement of JSON schemas on LLM response payloads
IN 10 SECONDS
Forcing the model to output strict schemas. Instead of hoping the LLM returns valid JSON (and writing complex parsers to catch errors), the API provider restricts the model's choices to ensure the response strictly matches your database fields.
GOTCHA Enforcing strict formatting rules can limit the model's internal reasoning. For complex logical tasks, include a 'reasoning' string field inside the schema.
HOW OUTPUT CONSTRAINING WORKS
01 Your application sends a prompt along with a target database schema (e.g. key: 'status', type: 'string').
02 API Server translates the schema into formatting rules that constrain text generation.
03 LLM Predictor is blocked from selecting any characters that would violate the schema structure.
04 Output JSON arrives perfectly formatted, guaranteed to parse directly into your code.
POKE IT YOURSELF
python -c "from pydantic import BaseModel; ..." — define schema with Pydantic for OpenAI Structured Outputs
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