How to Fix Slow Vapi Calls: Latency, Model Choice, Temperature & Max Tokens (Beginners Guide)

Build a snappy Vapi voice agent that answers fast and stops rambling. In this video I break down the four settings that matter: latency, model choice, temperature, and max tokens. You’ll see real call demos (bloated vs lean prompt), recommended model tiers, and copy-paste temp settings for reliable tool calls and concise replies.

🔧 What You’ll Learn in This Video:
✅ How to cut time-to-first-audio with prompt trimming
✅ Which model tier to use for real-time voice vs analysis
✅ The right temperature for tools/JSON vs creative tasks and set max_tokens to avoid rambling and cutoffs

Perfect for developers, automation enthusiasts, and agency owners looking to streamline client communications with AI-powered phone calls.

💬 Got questions or want a full voice AI system built? Drop them in the comments!

#VapiAI #VoiceAssistant #AIPhoneBot #NoCodeAI #AITools #aiautomation #AutomationAgency #VoiceBotDevelopment #OpenAI #GPT4 #BusinessAutomation #AIVoiceAgent

💡 Perfect for developers building with Vapi.ai, Make.com, and other voice automation tools!
👉 Don’t forget to like, comment, and subscribe for more tutorials on Voice AI development and automation.
🎯 Perfect for beginners looking to level up their skills.

Check my other helpful resources:
🎯 Want to learn how to create a Vapi assistant that books, rescheduled, and cancels appointments:    • How to Build an AI Appointment Setter with...  

🎯 Not sure what JSON is? Check out this video:
   • JSON for Voice AI Development Explained | ...  

🎯 Not sure how to implement a booking system? Check out this video:
   • How to Build an AI Appointment Setter on V...  


My favorite Voice AI tool (Vapi.ai): https://vapi.ai/?aff=quincy
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Time stamps:
00:00 - Introduction
00:30 - Latency
04:15 - Testing bloated prompt (lengthy LLM Responses) vs trimmed prompt (Focused LLM Responses)
08:00 - Model Choice
15:06 - Max Tokens
20:28 - Conclusion