Stop Begging Your LLM for Valid JSON: Self-Correcting Structured Output in Sprin

<p>A model returns this response:<br /> </p> <div class="highlight js-code-highlight"> <pre class="highlight plaintext"><code>Priority: high Team: billing Reason: The customer was

<p>Here's a failure mode I've seen in nearly every AI agent codebase I've reviewed: the agent receives a model response, trusts the JSON it contains, and calls

<p>I shipped a structured-output endpoint to production in March. The schema was clean, JSON mode was on, the model was GPT-4.1, the eval suite was green. Three weeks in, the

<p>In the previous article, we explored generating free-form text in a workflow, as well as dividing responsibility for different parts of a task among agents. This time, let's

<p>Getting JSON out of LLMs has become fairly routine. You pass a JSON Schema, enable structured output, and if the model is capable enough, the final JSON is usually valid.</p>