n8n Workflow: Qwen-Max Journal Paper Generation from Title/Abstract

This n8n workflow automates the generation of a journal paper based on an input title and abstract. It leverages the Qwen-Max language model via OpenRouter to expand on the provided information and produce a more comprehensive text.

What it does

This workflow simplifies the process of generating initial paper drafts or expanded content from minimal input. Here's a step-by-step breakdown:

1. Receives Input: It starts by listening for incoming POST requests via a Webhook. The request is expected to contain a title and an abstract in its body.
2. Prepares Prompt: A "Code" node takes the received title and abstract and constructs a detailed prompt for the AI agent. This prompt instructs the AI to act as an expert in journal paper writing and to generate a comprehensive paper based on the provided input, including sections like Introduction, Literature Review, Methodology, Results, Discussion, and Conclusion.
3. Configures AI Agent: An "AI Agent" node is set up to use a "Plan and Execute" strategy. This agent will leverage the configured language model to fulfill the request.
4. Utilizes OpenRouter Chat Model: The AI Agent is configured to use the "OpenRouter Chat Model" (specifically Qwen-Max) to process the prompt and generate the paper content.
5. Merges Output: The output from the AI Agent is then merged back into the workflow.
6. Formats Output: An "Edit Fields (Set)" node extracts the generated text from the AI's response and renames it to generatedPaper. This ensures a clean and consistent output format.
7. Returns Response: Finally, the workflow sends the generatedPaper as the response to the initial webhook call.

Prerequisites/Requirements

• n8n Instance: A running n8n instance.
• OpenRouter Account & API Key: An OpenRouter account with an API key configured as an n8n credential. This is necessary for the "OpenRouter Chat Model" node to access the Qwen-Max model.

Setup/Usage

1. Import the workflow: Import the provided JSON into your n8n instance.

2. Configure OpenRouter Credentials:

   • Locate the "OpenRouter Chat Model" node.
   • Ensure that the "OpenRouter API" credential is correctly set up with your OpenRouter API Key.

3. Activate the workflow: Enable the workflow in n8n.

4. Trigger the workflow: Send a POST request to the Webhook URL provided by the "Webhook" node. The request body should be JSON and include title and abstract fields, for example:

   {
     "title": "The Impact of AI on Scientific Research Productivity",
     "abstract": "This paper investigates the multifaceted impact of artificial intelligence technologies on the productivity and efficiency of scientific research across various disciplines. We analyze current applications, potential benefits, and emerging challenges."
   }
   

5. Receive the generated paper: The webhook will respond with a JSON object containing the generatedPaper field, which holds the AI-generated journal paper.