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