Vladimir
03/22/2025, 6:13 AMVapi Support Bot
03/22/2025, 6:15 AMsilenceTimeoutSeconds
might be set too low. The default is 30 seconds, but it can be configured between 10 and 3600 seconds. If machineDetectionSilenceTimeout
is longer than silenceTimeoutSeconds
, it can prevent the agent from hanging up as expected.
2. **Speech-to-Text Issues**: Problems with the speech-to-text service (like Deepgram) might cause the system to not recognize user speech properly, leading to a silence timeout even when the user is speaking.
3. **Endpointing Problems**: The system might be prematurely detecting that the user has stopped speaking. This can happen if endpointing settings aren't configured optimally.
4. **Network Issues**: Network problems can interrupt the call and cause the system to detect silence, even if the user is interacting.
For troubleshooting, I recommend:
- Adjusting your silenceTimeoutSeconds
to a higher value
- Checking your endpointing configuration, especially machineDetectionSilenceTimeout
, machineDetectionSpeechThreshold
, and machineDetectionSpeechEndThreshold
- Reviewing your call logs for patterns
- Ensuring all network connections are stable
Would you like more specific information about any of these potential causes or troubleshooting steps?
Source:Vapi Support Bot
03/22/2025, 6:15 AMVapi
03/23/2025, 2:37 PMmarkdown
```bash
curl -X PUT "https://api.vapi.ai/api/assistants/{assistant_id}" \
-H "Authorization: Bearer {your_api_key}" \
-H "Content-Type: application/json" \
-d '{
"startSpeakingPlan": {
"waitSeconds": 0.6,
"smartEndpointingPlan": {
"provider": "livekit",
"waitFunction": "200 + 8000 * x"
}
}
}'
```
To use this curl command:
1\. Replace {assistant_id}
with your actual assistant ID
2\. Replace {your_api_key}
with your VAPI API key
3\. You can modify the waitFunction
parameter if needed for more specific response timing
This request will update the assistant to use:
\- 0.6 second wait time before the assistant starts speaking
\- The three standard transcription endpointing settings
\- The LiveKit smart endpointing model for improved conversation flow