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what the Response Eagerness really does
# ❓・ai-evy-support
n
@AI Evy what the Response Eagerness really does?
a
Thanks for tagging me @Nicolas. I'll look through relevant sources and get back to you shortly.
### Answer I don't have specific information about a "Response Eagerness" setting in the available sources. The sources discuss Retell AI's turn-taking model and how it manages conversation flow, but they don't explicitly define or explain a parameter called "Response Eagerness." [(1) ]() [(2) ]() The sources do explain that Retell AI's turn-taking model uses contextual understanding and predictive timing to determine when to respond, recognizing cues like tone shifts, pauses, and sentence patterns. [(2) ]() This helps prevent interruptions while maintaining natural conversation flow. [(1) ]() [(2) ]() If you're looking for details about a specific configuration parameter, I'd recommend checking out these resources: - [Retell AI Documentation]() - [Hire certified Retell partner]() Would you like a general answer based on my knowledge instead?
​ To learn more, see the sources I considered: [[1] VAD vs. Turn-Taking Endpoints in Conversational AI | Retell AI](https://www.retellai.com/blog/vad-vs-turn-taking-end-point-in-conversational-ai) [[2] Retell AI's Turn-Taking Model for Seamless Calls | Retell AI](https://www.retellai.com/blog/how-retell-ais-turn-taking-model-ensures-seamless-calls) ​
Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.
n
@AI Evy so make the agent more patient it waits more for the user to answer?
a
Thanks for the follow-up, @Nicolas. I'll get back to you soon.
### Answer While I don't have specific documentation about a "Response Eagerness" parameter, I can explain how Retell AI's turn-taking system manages when the agent responds. Retell AI's turn-taking model uses pause duration thresholds to determine how long a silence must last before the AI concludes the user is done speaking. [(1) ]() The system analyzes voice activity detection (VAD) , speech patterns, and prosody to recognize when users have finished their thoughts. [(1) ]() [(2) ]() The turn-taking model is designed to distinguish between natural speech pauses (like when someone is thinking mid-sentence) and actual conversation turns. [(2) ]() For example, if a caller pauses for two seconds while looking up information, Retell AI's VAD system correctly detects this as a short pause rather than the end of a sentence, and keeps listening without interrupting. [(3) ]() If you're looking to adjust how "patient" your agent is—meaning how long it waits before responding—this likely relates to configuring pause detection thresholds and turn-taking sensitivity. However, the specific configuration options aren't detailed in the available sources. For detailed configuration guidance, check out these resources: - [Retell AI Documentation]() - [Hire certified Retell partner]() Would you like a general answer based on my knowledge instead?
​ To learn more, see the sources I considered: [[1] Turn-Taking Endpoints](https://www.retellai.com/glossary/turn-taking-endpoints) [[2] Retell AI's Turn-Taking Model for Seamless Calls | Retell AI](https://www.retellai.com/blog/how-retell-ais-turn-taking-model-ensures-seamless-calls) [[3] Voice Activity Detection (VAD)](https://www.retellai.com/glossary/voice-activity-detection-vad) ​
Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.