Effortlessly Structure LLM Responses with LangChain and n8n

This workflow provides a robust solution for interacting with Large Language Models (LLMs) and ensuring their output is consistently structured and usable. It begins by defining a clear prompt that instructs the LLM on the desired information. The core of the workflow utilizes LangChain nodes to process this prompt through an LLM (OpenAI Chat Model). Critically, it incorporates both a structured output parser, which defines the expected JSON schema for the response, and an auto-fixing output parser. This auto-fixing parser leverages the LLM itself to correct any formatting inconsistencies or errors in the initial LLM response, ensuring the final output adheres to your specified structure. The workflow is designed for seamless integration into automated processes, making AI-generated data readily actionable.