LangChain Structured Output Parsing with Autofix

Overview

This n8n workflow utilizes LangChain's advanced output parsing capabilities to ensure structured and accurate data extraction from Large Language Models (LLMs). It addresses the common challenge of LLMs sometimes returning inconsistent or malformed data. The workflow starts with a manual trigger, followed by a 'Prompt' node to define the LLM's task. The core logic lies in the 'LLM Chain' node, which processes the prompt. Crucially, it integrates the 'Auto-fixing Output Parser' to attempt to correct any invalid output from the LLM, and then the 'Structured Output Parser' to enforce a specific JSON schema. This combination ensures that the final output conforms to the desired structure, making it ideal for downstream data processing and automation.