### Answer You can modify the response wait time using the responsiveness parameter, which controls how responsive the agent is to user input. [(1) ]() ## Agent Configuration Options **responsiveness**: Controls how responsive the agent is. Value ranges from 0 to 1. Lower values mean the agent waits longer before responding, while higher values mean faster exchanges. **interruption_sensitivity**: Controls how sensitive the agent is to user interruptions. Value ranges from 0 to 1. Lower values require more words/time for the user to interrupt, while higher values make it easier to interrupt. ## Updating via API You can update these settings using the Update Voice Agent API endpoint:

javascript
import Retell from 'retell-sdk';
const client = new Retell({
 apiKey: 'YOUR_RETELL_API_KEY',
}) ;
const agentResponse = await client.agent.update('16b980523634a6dc504898cda492e939', {
 agent_name: 'Jarvis',
}) ;
console.log(agentResponse.agent_id) ;

## Updating During a Live Call (Custom LLM) If you're using a Custom LLM via WebSocket, you can send an update_agent event during the call to modify these settings dynamically: - **responsiveness**: Adjusts how long the agent waits before responding [(2) ]() - **interruption_sensitivity**: Adjusts how easily the user can interrupt - **reminder_trigger_ms**: Sets the time (in milliseconds) before a reminder is triggered if the user is silent - **reminder_max_count**: Controls how many times the agent will remind an unresponsive user These configurations allow you to fine-tune the timing of agent responses to achieve more natural conversation flow. [(3) ]()

​ To learn more, see the sources I considered: [[1] Update Voice Agent](https://docs.retellai.com/api-references/update-agent) [[2] LLM WebSocket](https://docs.retellai.com/api-references/llm-websocket) [[3] 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.

### Answer To automatically transfer a call when a user stops speaking (for emergency scenarios) , you'll need to combine silence detection logic with the Transfer Call tool. ## Approach 1. Use the

reminder_trigger_ms

and

reminder_max_count

parameters to detect prolonged user silence. When the user is silent for a set duration, the agent can trigger a reminder. After the max reminders are reached without a response, you can instruct the agent to transfer the call. [(1) ]() 2. Add a Transfer Call Tool to your agent configuration. You can set the transfer number to either: - A number in e.164 format - A SIP URI (e.g.,

sip:user@retellai.com

) - A dynamic variable that gets substituted at runtime [(2) ]() 3. Update your prompt to include logic like: > "If the user has been silent after multiple reminders, assume this may be an emergency and use the transfer_call tool to transfer to emergency services or a human agent." ## Transfer Types - **Cold transfer**: The call is transferred directly to the destination. - **Warm transfer**: The AI can detect if the other side is human, leave private messages, or do a three-way introduction before completing the handoff. , [(3) ]() ## Using Conversation Flow If you're using Conversation Flow, you can use the Call Transfer Node to handle the transfer. The agent won't speak while in this node. If you want the agent to say something like "Let me transfer you right away" before transferring, place a conversation node (with "skip response" turned on) before the transfer node. [(4) ]() The transition to

another node happens when the transfer fails, so you can connect that edge to handle transfer failure scenarios.

​ To learn more, see the sources I considered: [[1] 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) [[2] Transfer call](https://docs.retellai.com/build/single-multi-prompt/transfer-call) [[3] Warm Transfer vs Cold Transfer - The AI Advantage in Call Centers | Retell AI](https://www.retellai.com/blog/effortless-handoffs-with-retell-ais-warm-transfer-feature) [[4] Call Transfer Node](https://docs.retellai.com/build/conversation-flow/call-transfer-node) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.

### Answer --- Based on the available documentation, there isn't a per-node silence timeout setting that allows you to configure a specific response time (like 5 seconds) for only the first node in Conversation Flow. ## What You Can Do 1. Use Global Agent Settings The

reminder_trigger_ms

and

reminder_max_count

parameters control silence behavior at the agent level, not per-node. [(1) ]() - `reminder_trigger_ms`: Triggers a reminder if the user is silent for the specified duration (default 10,000 ms / 10 seconds) - `reminder_max_count`: Controls how many times the agent reminds an unresponsive user before taking action 2. Use Transition Conditions with Prompt Logic You can configure the edge/transition from your first node to the transfer node using a prompt-based condition. In your node's edges, set a transition condition that detects when the user hasn't responded meaningfully. [(2) ]() 3. Leverage Global Node Fine Tuning You can add example conversations to help the AI know when to jump to specific nodes (like your transfer node) based on silence behavior. [(3) ]() ## Limitation From community discussions, users have noted that the LLM doesn't inherently understand precise time durations like "3-4 seconds," but it can detect when a silence timeout occurs. [(4) ]() The agent-level

reminder_trigger_ms

setting is what actually controls the silence timeout behavior. ## Recommendation Set

reminder_trigger_ms

to 5000 (5 seconds) and

reminder_max_count

to 0 or 1 at the agent level, then instruct your first node's prompt to transfer the call if the user doesn't respond after the reminder. Alternative

ly, structure your transition condition to move to the transfer node when silence is detected.

​ To learn more, see the sources I considered: [[1] List Voice Agents](https://docs.retellai.com/api-references/list-agents) [[2] Update Conversation Flow](https://docs.retellai.com/api-references/update-conversation-flow) [[3] Platform Changelogs | Retell AI](https://www.retellai.com/changelog) [[4] Discord message from @branerift4205 on 2025-07-24](https://discord.com/channels/1186424376300679209/1186462578310910112/1398023570000711861) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.

### Answer Based on the available sources, there isn't a built-in dynamic variable or real-time counter that tracks how many reminders the agent has given mid-conversation. ## What's Available The agent-level settings

reminder_trigger_ms

and

reminder_max_count

control reminder behavior, but these are configuration parameters—not runtime counters you can access during the call. [(1) ]() [(2) ]() ## Potential Workarounds 1. Post-Call Analysis You could create a custom post-call analysis field to extract reminder count from the transcript after the call ends. Post-call analysis supports Boolean, Text, Number, and Selector data types. [(3) ]() For example, you could add a Number-type analysis field with a description like "Count how many times the agent reminded the user to respond." 2. Custom Function Approach If you need to track reminders mid-conversation, you could potentially use a custom function that increments a counter each time the agent's reminder logic triggers, then store that value in a dynamic variable for use in your prompt logic. [(4) ]() However, there's no documented native feature to directly access a "reminder count" variable during an active call. Check out these potentially useful sources: - [Update Voice Agent]() - [Post Call Analysis Overview]() - [Dynamic Variables]() Would you like me to try to provide a general answer about potential implementation approaches?

​ To learn more, see the sources I considered: [[1] List Voice Agents](https://docs.retellai.com/api-references/list-agents) [[2] Update Voice Agent](https://docs.retellai.com/api-references/update-agent) [[3] Post Call Analysis Overview](https://docs.retellai.com/features/post-call-analysis-overview) [[4] Dynamic Variables](https://docs.retellai.com/build/dynamic-variables) ​

Feel free to tag @AI Evy with additional questions. I also appreciate feedback, it helps me improve.