Hi team and Brendan, I need some advise on running sms agents on scale: I will be creating an n8n agent that sends sms (through Twillio) and is connected to Salesforce to sell products to incoming leads. It is a large company that receives 500 leads a day. So about 3000 executions a day (6 messages average) -> 90k executions a month minimum. I got: - Hostinger VPS; KVM 2 running n8n. But will probably upgrade to VPS: "n8n (queue mode)" with a KVM 8. - I have been using Qdrant as a vector base, but as this agent will only need a small to maybe no knowledge base, what should I be using on scale? What is price efficient? - GPT-5 mini. - Simple Memory: based on phone number. The chats do not have to be stored in memory, as this agent is just used as a single sales conversation. I do store the transcripts in Airtable for feedback I don't have experience in running n8n in Hostinger VPS, nor with a (queue mode). I am also not too familiar with vector bases. I am trying to keep the workflow and agent simple, but I need to make sure it will operate at scale. If you have any tips/advice/experience on any of these topics, please share! Thanks guys, Dirk

im doing some projects and i have a few questions. 1. Can i use vapi as a stand alone build hosted on a private server? 2. can i sell vapi as a SAAS without giving client access to vapi? 3. can twilio link with international numbers? especially Jamaica 4. can someone help me with upgrading my twilio account. as they suspended me for no known reason.