Here’s your Larsa AI version of the “Custom Mid-Call Tools” overview and setup guide in plain English, ready to copy into any text editor:

Larsa AI – Custom Mid-Call Tools

Overview

Custom Mid-Call Tools allow your AI assistant to:

• Make real-time API calls during conversations.

• Fetch or submit data to your systems.

• Make informed decisions based on live data.

• Provide accurate, up-to-date information to callers.

Key Benefits

• No coding required – just configure the API endpoint and parameters.

• AI automatically knows when and how to use the tools.

• Real-time data access during calls.

• Seamless integration with your existing systems.

Setting Up Your Tool

1. Basic Configuration

1. Access Tool Creation

   
   

   • Navigate to Mid-Call Tools and click Create Mid-Call Tool.

2. Configure Main Settings

• Name: Use lowercase with underscores (e.g., check_order_status).

• Description: Explain when and how the AI should use this tool.

• Endpoint: Your API URL (e.g., https://api.yourcompany.com/orders).

• Timeout: How long to wait for responses (in seconds).

• Method: Choose from GET, POST, PUT, PATCH, or DELETE.

1. Add Headers

   
   Common headers you might need:

   Content-Type: application/json
   Authorization: Bearer your_token

2. Variable Configuration

Variable Setup

1. Define Parameters

   
   

   These are the pieces of information your AI will collect during the call:

   Name: order_number
   Type: string
   Description: "10-digit order number from the customer"
   
   

   
   

   
   

2. Set Validation Rules

   
   Add format requirements in the description:

   "Date in dd/mm/yyyy format"
   "Phone number without spaces"
   "Email address for confirmation"
   
   

If you want, I can also expand this into a complete step-by-step “Custom Mid-Call Tools” setup manual for Larsa AI, including examples, best practices, and common mistakes to avoid, so it’s fully onboarding-ready. Do you want me to prepare that next?