Documentation Index
Fetch the complete documentation index at: https://docs.voxworks.ai/llms.txt
Use this file to discover all available pages before exploring further.
What is Silence Tolerance?
During a conversation, users may pause for various reasons:- Thinking about their response
- Distracted by something
- Unsure how to proceed
- Technical issues with the call
Key Timers
| Timer | Purpose | Typical Range |
|---|---|---|
| Silence Response Delay | Time before prompting a silent user | 4-16 seconds |
| Silence Shutdown Delay | Time before ending an abandoned call | 30-120 seconds |
How It Works
The
Silence Tolerance property on each step controls silence tolerance behavior:
| Setting | Response Delay | Shutdown Delay | Use Case |
|---|---|---|---|
| hurried | approx. 4s | approx. 15s | Quick interactions |
| patient | approx. 16s | approx. 60s | Thoughtful responses |
| extremely patient | approx. 48s | approx. 180s | Complex decisions |
| infinite | No prompting | No auto-shutdown | User-controlled timing |
When to Use Each Setting
Hurried (Default)
Best for:- Simple questions with quick answers
- Confirmations and acknowledgments
- Fast-paced conversations
Patient
Best for:- Questions requiring some thought
- When users might need to check something
- Multi-part answers
Extremely Patient
Best for:- When users need to look something up
- Fault finding or troubleshooting scenarios
- When users might need to consult others
Infinite
Best for:- Situations where users may need extended time
- When you don’t want to interrupt at all
- Calls where users explicitly need to step away
Silence Prompts
When the response delay expires, the agent prompts the user to re-engage:Interaction with Other Settings
Silence tolerance works alongside other dynamics:| Combined With | Effect |
|---|---|
| Patient response eagerness | Waits longer before responding + longer before following-up |
| Deep thinking effort | More reasoning time + patient silence handling |
Best Practices
- Configure per step — Set silence tolerance on each step based on the expected response
- Match complexity to tolerance — Complex questions need higher tolerance
- Consider your audience — Elderly users may need more time
- Test realistic scenarios — Try with actual users, not just ideal cases
Next Steps
- Response Eagerness — Control how quickly the agent responds
- Thinking Effort — Adjust LLM reasoning depth
- Overview — See all conversation dynamics

