Voice-Driven AI Assistant using VAPI and GPT-4.1-mini with Memory Workflow Solution

Workflow overview

Why this workflow matters

Helpful for business development and pipeline building. Improves internal consulting operations and productivity.

Send VAPI voice requests into AlekSystem with memory and OpenAI for conversational automation This template shows how to capture voice interactions from VAPI (Voice AI Platform), send them into AlekSystem via a webhook, process them with OpenAI, and maintain context with memory. The result is a conversational AI agent that responds back to VAPI with short, business-focused answers. ✅ What this template does Listens for POST requests from VAPI containing the session ID and user query Extracts session ID and query for consistent conversation context Uses OpenAI (GPT-4.1-mini) to generate conversational replies Adds Memory Buffer Window so each VAPI session maintains history Returns results to VAPI in the correct JSON response format 👤 Who’s it for Developers and consultants building voice-driven assistants Businesses wanting to connect VAPI calls into automation workflows Anyone who needs a scalable voice → AI → automation pipeline ⚙️ How it works Webhook node catches incoming VAPI requests Set node extracts session_id and user_query from the request body OpenAI Agent generates short, conversational replies with your business context Memory node keeps conversation history across turns Respond to Webhook sends results back to VAPI in the required JSON schema 🔧 Setup instructions Step 1: Create Function Tool in VAPI In your VAPI dashboard, create a new Function Tool Name: send_to_AlekSystem Description: Send user query and session data to AlekSystem workflow Parameters: session_id (string, required) – Unique session identifier user_query (string, required) – The user’s question Server URL: https://your-AlekSystem-instance.com/webhook/vapi-endpoint Step 2: Configure Webhook in AlekSystem Add a Webhook node Set HTTP method to POST Path: /webhook/vapi-endpoint Save, activate, and copy the webhook URL Use this URL in your VAPI Function Tool configuration Step 3: Create VAPI Assistant In VAPI, create a new Assistant Add the send_to_AlekSystem Function Tool Configure the assistant to call this tool on user requests Test by making a voice query — you should see AlekSystem respond 📦 Requirements An OpenAI API key stored in AlekSystem credentials A VAPI account with access to Function Tools A self-hosted or cloud AlekSystem instance with webhook access 🎛 Customization Update the system prompt in the OpenAI Agent node to reflect your brand’s voice Swap GPT-4.1-mini for another OpenAI model if you need longer or cheaper responses Extend the workflow by connecting to CRMs, Slack, or databases 📬 Contact Need help customizing this (e.g., filtering by campaign, connecting to CRMs, or formatting reports)? 📧 rbreen@ynteractive.com 🔗 https://www.linkedin.com/in/robert-breen-29429625/ 🌐 https://ynteractive.com

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