<p><strong>Get structured output from an LLM</strong></p><p>This workflow demonstrates how to reliably generate structured output from a large language model to produce a formatted output table. It uses a small set of customer feedback examples to show how structured prompting leads to consistent, machine readable results.</p><p>The workflow shows how to:</p><ul><li><p>Instruct an LLM to return valid structured output using an explicit prompt schema</p></li><li><p>Define multiple output fields with different data types</p></li><li><p>Return each extracted field as a separate column in the output table</p></li></ul><p>The LLM Prompter outputs the structured results directly as a KNIME table, making them easy to validate and integrate into downstream workflows such as dashboards, data pipelines, or agent tools.</p>