LLM Structured Output Documentation Parser and Web Search

This workflow automates structured data generation using OpenAI’s API with a structured output parser. Key nodes include Manual Trigger (initiates workflow), Input Validation (sets and validates query), Validate Query Input (ensures query length ≥5 characters), OpenAI Chat with Output Parser (API interaction), Structured Output Parser (defines JSON schema), OpenAI Chat Model (configures model), Check Parse Success (verifies output), Format Success Response, Format Parse Error, and Format Validation Error (manage outputs). It uses OpenAI’s API for structured responses.\n\nSetup Requirements and Configuration: Install n8n by downloading from n8n.io for self-hosting or sign up at cloud.n8n.io for cloud setup. Follow installation prompts or create a cloud account. Obtain an OpenAI API key from platform.openai.com: sign up, navigate to ‘API Keys’ in your account, and generate a key. In n8n, import the provided JSON to create the workflow. Configure the OpenAI Chat Model node by adding your API key under ‘Credentials’ > ‘OpenAI API’ in n8n’s interface. Replace the Manual Trigger with a Webhook Trigger for automation: set its path to ‘structured-output,’ ensure it accepts POST requests, and optionally enable header authentication with a secure key. Ensure sufficient server resources for cloud or self-hosted setups to handle API requests.\n\nTesting and Deployment Steps: Test by sending a POST request to the Webhook URL (after replacing Manual Trigger) using Postman. Example JSON body: {'query': 'What are the top 5 US states by population?'} with the authentication header if enabled. Alternatively, use the Manual Trigger in n8n’s editor. The ‘Format Success Response’ node returns a 200 status with parsed_data, response_type (structured_json), and items_count, or ‘Format Validation Error’ (400 status) for short/empty queries, or ‘Format Parse Error’ (500 status) for API issues like invalid credentials. Monitor logs for errors like ‘Invalid API key’ or ‘Parsing failed,’ and verify credentials or query format if issues occur. Activate the workflow in n8n’s interface for deployment. Validate outputs to confirm parsed_data matches the JSON schema and query_processed aligns with the input.