AI-Powered Reasoning and Response Workflow

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: 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.

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

Parameter Adjustments: Customize the temperature, topK, topP, and maxOutputTokens parameters to fit your use case.

Customization: Input Parameters: Modify the webhook path or parameters based on the data your application will send.

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

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

Workflow Steps:

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.

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.

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.

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