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AI-Powered Reasoning and Response Workflow

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Created by: Mauricio Perera || rckflr

Mauricio Perera

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Last update 15 hours ago

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Overview:

This workflow is designed to handle user inputs via a webhook, process the inputs with the Google Gemini API (specifically the gemini-2.0-flash-thinking-exp-1219 model), and return a structured response to the user. The response includes three key elements: reasoning, the final answer, and citation URLs (if applicable). This workflow provides a robust solution for integrating AI reasoning into your processes.

This workflow can be utilized as a tool for AI-based agents, intelligent email drafting systems, or as a standalone intelligent automation solution.

Setup:

  1. Webhook Configuration:

    • Ensure the webhook node is properly set up to accept GET requests with an input parameter.
    • Verify that the webhook path matches your application requirements.
    • Test the webhook using tools like Postman to ensure proper data formatting.

  2. Google Gemini API Credentials:

    • Set up your Google Gemini API account credentials in the HTTP Request node.
    • Ensure API access and permissions are valid.

  3. Parameter Adjustments:

    • Customize the temperature, topK, topP, and maxOutputTokens parameters to fit your use case.

Customization:

  1. Input Parameters:

    • Modify the webhook path or parameters based on the data your application will send.

  2. Response Formatting:

    • Adjust the JavaScript code in the "Process API Response" node to fit your desired output structure.

  3. Output Expectations:

    • Test the response returned by the "Return Response to User" node to ensure it meets your application requirements.

Workflow Steps:

  1. Receive User Input:

    • Node Type: Webhook
    • Purpose: Captures a GET request containing a user-provided input parameter. Acts as the starting point for the workflow.

  2. Send Request to Google Gemini:

    • Node Type: HTTP Request
    • Purpose: Sends the received input to the Gemini-2.0-flash-thinking-exp-1219 model for processing. The API configuration includes parameters for customizing the response.

  3. Process API Response:

    • Node Type: Code Node
    • Purpose: Extracts reasoning, the final answer, and citation URLs from the API response. Organizes the output for further use.

  4. Return Response to User:

    • Node Type: Respond to Webhook
    • Purpose: Sends the processed and structured response back to the user via the webhook. Ensures the response format meets expectations.

Expected Outcomes:

  • Input Handling: Successfully captures user input via a webhook.
  • AI Processing: Generates a structured response using the Gemini-2.0-flash-thinking-exp-1219 model, including reasoning, answers, and citations (if available).
  • Output Delivery: Returns a user-friendly response formatted to your specifications.

Notes:

  • The workflow is inactive by default.
  • Each node is annotated with a Sticky Note to clarify its purpose.
  • Ensure all API credentials are correctly configured before execution.
  • Use this workflow to save time, improve accuracy, and automate repetitive tasks efficiently.

Tags:

  • Automation
  • Google Gemini
  • AI Agents
  • Intelligent Automation
  • Content Generation
  • Workflow Integration