N8n llm output schema validation

★ 6.6 · n8n · medium · 14 nodes

N8n llm output schema validation is an n8n automation template that validates and structures language model outputs against a defined schema before they flow further through a pipeline. Reach for it when an LLM keeps returning malformed or unpredictable JSON that breaks downstream nodes, when an AI agent produces free-form text where the rest of the workflow expects a strict structure, or when a single bad model response takes down the entire automation. Trigger: webhook. Integrations: not specified in metadata — the exact stack depends on the connected model and target service. The template catches the LLM response at the webhook entry point and either passes valid data downstream or routes invalid output to retry or human review. Direction — output quality control after the model call, not generation or data enrichment. Fits teams embedding LLMs into production workflows where invalid data cannot reach downstream systems; not the right fit if you need the model-calling logic itself — this template handles validation only.