Quick overview This workflow collects a prompt and model choice via an n8n Form, uses OpenRouter LLMs to generate an evaluation dataset, run the prompt against each test case, and grade the responses, then saves per-item results and a synthesized one-line report to Notion. How it works Receives prompt, dataset size, and target model input from an n8n Form submission. Uses OpenRouter (via LangChain) to generate a JSON evaluation dataset with categorized questions and difficulty distribution. Iterates through each evaluation question and calls the selected OpenRouter model using the submitted prompt as the system message to produce an answer. Sends each answer to a separate OpenRouter grader model that returns a JSON score plus strengths, weaknesses, and reasoning. Saves each graded evaluation item as a new page in a Notion database. Aggregates all graded items and uses an OpenRouter synthesis model to produce a concise overall evaluation line, then saves it as a Notion page under a specified parent page. Setup Add an OpenRouter API credential in n8n and ensure the models referenced in the form and LLM nodes are available to your OpenRouter account.
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