Why “Return Valid JSON” Is Not a Decoding Constraint
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A model can know what valid JSON looks like and still produce a response that your parser rejects. For example, each of these responses contains a valid-looking JSON object. Here is the result: ```json {"answer": "72"} ``` {"answer": "72"} The calculation is 48 + 24. {"answer": "72"} {"answer": "72"} A person can identify the answer immediately. A program expecting exactly one JSON value cannot. This is the distinction I wanted to understand more concretely: Prompting changes which outputs are…
1Key Takeaways
- A model can know what valid JSON looks like and still produce a response that your parser rejects.
- For example, each of these responses contains a valid-looking JSON object.
- Here is the result: ```json {"answer": "72"} ``` {"answer": "72"} The calculation is 48 + 24.
- {"answer": "72"} {"answer": "72"} A person can identify the answer immediately.
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that a model can know what valid JSON looks like and still produce a response that your parser rejects.
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