Assistant taking too long to respond
# support
a
Our assistants are now taking a long time to answer after the caller stops talking. This long pause is creating a lot of frustration among callers. I turned off LiveKit as I thought this was the issue, but there are still pauses throughout the calls. What can we do to fix this and make the call more natural? Here is an example: Call ID: 94044dad-7128-4e99-af3f-c27b6e503219
v
Hi there! 👋 I understand how frustrating those long pauses can be during calls. I'm unable to analyze the specific Call ID you provided, as that would require direct access to your call logs. However, I can definitely help with troubleshooting the latency issues your assistants are experiencing! Based on the information I've found, here are several potential causes and solutions for the latency you're experiencing: ## Potential Causes 1. Network Latency Issues - High network latency between your system and Vapi's API endpoints can cause significant delays in response times - According to [troubleshooting documentation](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1332286268805087272), network delays can cause calls to drop or experience long pauses 2. Configuration Settings - Your Vapi configuration might need optimization, particularly settings that affect response timing - Parameters like
silenceTimeoutSeconds
,
responseDelaySeconds
, and
llmRequestDelaySeconds
can impact how quickly your assistant responds 3. Endpointing Issues - Vapi uses a custom audio-text model for endpointing (determining when a user has finished speaking) - If not configured optimally, this can lead to delays in recognizing when the user has stopped talking 4. Speech-to-Text and Text-to-Speech Processing - The choice of providers can significantly impact latency - According to [Vapi documentation](https://docs.vapi.ai/introduction), responsive conversation ideally requires less than 500-800ms voice-to-voice latency ## Solutions to Try 1. Optimize Network Path - Ensure your traffic is being routed through the closest available data center - According to [optimization guidance](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1336685825227755591), selecting the right hosting provider with data centers near your user base can help 2. Adjust Vapi Configuration Settings
- Review and adjust your
silenceTimeoutSeconds
to detect silence more quickly - Try tweaking
streamingLatency
parameters for voice providers - Consider adjusting
numWordsToInterruptAssistant
and
maxDurationSeconds
to create more natural conversation flow 3. Try Different Providers - If you're using Deepgram for speech-to-text, consider trying alternatives like Whisper, Talkscribe, or Azure - For text-to-speech, Vapi supports multiple providers including ElevenLabs, PlayHT, and OpenAI, which may offer different latency profiles 4. Review Server and Application Performance - Monitor your server for CPU, memory, and bandwidth usage - Review your voice application logic to ensure there are no inefficient processes 5. Provide the Call ID to Vapi Support - The Call ID you provided (94044dad-7128-4e99-af3f-c27b6e503219) can be shared with Vapi support for in-depth investigation of the specific issues in that call Would you like me to elaborate on any of these potential solutions or explore other aspects of optimizing your Vapi assistant's response time? Sources: - [Troubleshooting Vapi call latency](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1332286268805087272) - [Common causes of latency in Vapi voice calls](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1336685825227755591) - [Vapi network latency issues](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1333747605628391434) - [Vapi speech to text latency](https://docs.vapi.ai/introduction) - [Vapi text to speech latency](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1334027136305991750)
p
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{
  "waitSeconds": 0.6,
  "smartEndpointingPlan": {
    "provider": "livekit",
    "waitFunction": "200 + 200 * x"
  }
}
Hey Abby, can you try one more call? Can you try two to three test calls with the following start speaking plan config or changes? Also set your transcriber endpointing to 300 ms
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