Recently I have been working with my Italian E-Commerce client and he was very much concerned about his customers' data privacy and whether AI Chatbots could be hacked. This is a very genuine concern and I convinced him too on this matter but I want to know your views on this.

Build Voice agents using vapi.ai - Visit their site and sign up to gain access to their voice agents. Create a phone number or import one from twillo. Next create your inbound call agent with the easy to use UI, give it a prompt and actions. Enter the server url which is the FastAPI template in the zip file or github link below. The server will record all messages and write to json file for easy to view, plus you can view all the logs and conversations on the vapi dashboard. Once your create the agent and publish it the agent is live and ready to go. Give it a test call. Make sure you have the fastapi server running if you want to record the messages on the backend. Outbound Sales Script - Ive also included the Outbound Sales python script for auto pilot outbound sales calls. Create your outbound sales agent the process as above then follow the README.md. Enter your leads with contact details into the csv and watch it work. It includes book appointment function to include with your make or Zapier webhook, just create a new webhook and input the server_url in the outbound.py code, along with the vapi assistant id and phone number id. Follow the docs at - Create Phone Call - Vapi GitHub Link - https://github.com/mcd0056/Vapi-Voice-Agent

What is the best way to collect date and time information in a chat. Currently suing botpress. And I need to save a date & time field for appointment setting. I am not finding a good way to do so.

Hi Everyone, I am having a problem in Voiceflow with a Response AI. I initialy gave it a prompt with Variables and an example of what I want its output to look like. I have now deleted that Example and just have my Prompt + Variables, but the output is still using the Example about 70% of the Time. When I run a Test of the response AI it works most of the Time as I want it too, but when I run a Test of the entire Chatbot, it still outputs wrong, from using the Example I gave it. I have made sure that it is set on Prompt only and NOT Prompt and memory. What else could I do.

I have built a langchain agent api using FastAPI. It works fine for one request, but when 2 users request simultaneously, it takes very long and till then I get a "Time Out" response in my frontend. Can anyone please help me deploying such an application in production, so that multiple users can use it? I am using the free open ai api with rate limits. Can that be an issue?