Generate Creative Solutions with Dual AI Agents (Randomization + Redis)

This n8n workflow leverages the power of two distinct AI chat models (OpenAI and Google Gemini) to generate diverse creative solutions, incorporating randomization and Redis for session management and unique idea generation. It's designed to provide a robust framework for brainstorming and problem-solving by preventing repetitive AI responses.

What it does

This workflow automates the process of generating creative solutions using a dual-AI agent approach:

1. Triggers on Chat Message: The workflow starts when a chat message is received, acting as the prompt for the creative solution generation.
2. Initial Data Setup: Sets up initial variables, including a unique sessionId (generated as a UUID) and a boolean isFirstCall flag, which is initially set to true.
3. Random AI Model Selection: Randomly decides which of the two AI models (OpenAI Chat or Google Gemini Chat) will be used for the current session. This ensures diversity in the generated responses over time.
4. Redis Check for First Call: Queries a Redis database using the sessionId to check if this is the first interaction for the current session.
   • If it's the first call:
     • Stores the sessionId in Redis to mark it as an ongoing session.
     • The selected AI agent (OpenAI or Google Gemini) generates a creative solution based on the initial chat message.
   • If it's not the first call:
     • The workflow currently does not define a different path, implying subsequent calls for the same session might not trigger a new AI generation (or this part of the logic needs further definition).
5. AI Agent Execution: The chosen AI model (OpenAI Chat or Google Gemini Chat) acts as an agent to process the input and generate a creative solution.
6. Code for Session Management: A Code node likely handles the logic for generating the sessionId and potentially manages the isFirstCall flag based on Redis responses.
7. Output (Implicit): Although not explicitly shown, the generated creative solution from the AI agent would typically be returned as a response to the initial chat message.

Prerequisites/Requirements

To use this workflow, you will need:

• n8n Instance: A running n8n instance.
• OpenAI API Key: Configured as an n8n credential for the OpenAI Chat Model node.
• Google Gemini API Key: Configured as an n8n credential for the Google Gemini Chat Model node.
• Redis Instance: Access to a Redis database for session management. Configured as an n8n credential for the Redis node.

Setup/Usage

1. Import the workflow: Download the provided JSON and import it into your n8n instance.
2. Configure Credentials:
   • Set up your OpenAI API Key credential.
   • Set up your Google Gemini API Key credential.
   • Set up your Redis credential, providing the necessary connection details.
3. Activate the workflow: Ensure the workflow is active to start listening for chat messages.
4. Send a chat message: Interact with the configured chat trigger (e.g., via a messaging platform integrated with n8n's chat trigger) to initiate the creative solution generation. The workflow will then randomly select an AI, generate a unique session, and provide a creative solution.