What is Response Eagerness?
When a user finishes speaking, the agent needs to decide when to respond. This requires determining whether the user has actually finished their turn or is simply pausing mid-thought. Getting this timing wrong has consequences:- Too early — The agent interrupts the user, cutting off their thought and creating a frustrating experience
- Too late — The conversation feels sluggish and unnatural, with awkward silences after the user finishes speaking
Eagerness Levels
How It Works
When to Use Each Level
Keen
Use for:- Yes/no questions
- Simple confirmations
- Quick acknowledgments
- Follow-up questions in rapid exchanges
Normal (Default)
Use for:- Most conversational turns
- Standard questions
- General discussion
Patient
Use for:- Open-ended questions
- Complex topics
- When users need to think
- Important decisions
Turn Completion Detection
Voxworks doesn’t just use timers. It also analyzes whether the user has completed their thought:
This prevents interrupting users mid-thought, even with faster eagerness settings.
First Turns Special Handling
The first two conversational turns use shorter delays:- Users expect quick acknowledgment at call start
- Builds confidence that the system is responsive
- Prevents awkward silence after greetings
Per-Step Configuration
Eagerness is applied step by step. Every time the assistant speaks, the listening for that step starts fresh with that step’s own eagerness setting — so a keen step really is keen, even if the step before it was patient. Set eagerness per step to match the expected interaction:Balancing Speed and Accuracy
Start with
normal and adjust based on testing.
Interaction with Other Settings
Eagerness works alongside other dynamics:Best Practices
- Start with normal — Begin with normal eagerness as your default. Use keen for steps where you want faster responses, or patient for steps where the assistant is jumping in too early or where users might hesitate while thinking
- Configure per step — Set eagerness on each step based on expected response complexity
- Match eagerness to question complexity — Complex questions need patient eagerness
- Test with real conversations — Timing feels different in practice
- Consider your users — Some audiences prefer more deliberate pacing
Next Steps
- Thinking Effort — Control LLM reasoning depth
- Silence Tolerance — Handle idle users
- Overview — See all conversation dynamics

