Maxime
12/18/2025, 10:20 AMAI Evy
12/18/2025, 10:20 AMAI Evy
12/18/2025, 10:20 AMinterruption_sensitivity setting, not just responsiveness. [(1) ]()
Key setting to adjust:
interruption_sensitivity controls how sensitive the agent is to user interruptions. Value ranging from [0,1]. Lower value means it will take longer / more words for user to interrupt agent, while higher value means it's easier for user to interrupt agent. If unset, default value 1 will apply. When this is set to 0, agent would never be interrupted.
Recommendations:
1. Lower your interruption_sensitivity — Try setting it closer to 0 (e.g., 0.2 or 0.3) . This will require more words/longer pauses before the system thinks the caller is done speaking.
2. Adjust responsiveness — Lower values mean the agent will "wait more, respond slower." [(1) ]() [(2) ]()
3. Check your language setting — Ensure it's set to fr-FR for French (France) . The speech recognition language setting affects how the system processes speech patterns. [(1) ]()
The combination of high interruption_sensitivity (default is 1) with high responsiveness (default is 1) can cause the agent to jump in too quickly, especially with longer utterances.AI Evy
12/18/2025, 10:20 AMAI Evy
12/18/2025, 10:20 AMMaxime
12/18/2025, 10:21 AMMaxime
12/18/2025, 10:21 AMAI Evy
12/18/2025, 10:21 AMAI Evy
12/18/2025, 10:21 AMresponsiveness, pas interruption_sensitivity. [(1) ]()
- responsiveness contrôle la réactivité de l'agent. Une valeur plus basse (proche de 0) signifie que l'agent attendra plus longtemps avant de répondre, tandis qu'une valeur plus haute signifie des échanges plus rapides.
Recommandations :
1. Diminuez responsiveness — Essayez une valeur autour de 0.5 ou plus basse. Réduire la réactivité de 0.1 ajoute environ 0.5 secondes de temps d'attente pour l'agent. [(2) ]()
2. Vérifiez le paramètre language — Assurez-vous qu'il est bien défini sur fr-FR pour le français (France) . Ce paramètre influence la reconnaissance vocale et le traitement des pauses naturelles dans la parole. [(1) ]()
3. Problème similaire signalé — Un utilisateur a rencontré un problème similaire avec des appels en haut-parleur où l'agent interrompait les utilisateurs. La suggestion était de diminuer responsiveness et d'augmenter interruption_sensitivity. [(3) ]()
En résumé : une responsiveness trop élevée (par défaut 1) peut faire réagir l'agent trop vite, interprétant une pause naturelle comme la fin du tour de parole de l'appelant.AI Evy
12/18/2025, 10:21 AMAI Evy
12/18/2025, 10:21 AMMaxime
12/18/2025, 10:24 AMAI Evy
12/18/2025, 10:24 AMAI Evy
12/18/2025, 10:24 AMAI Evy
12/18/2025, 10:24 AMresponsiveness — Controls how quickly the agent responds. Lower values add wait time (reducing by 0.1 adds ~0.5 seconds of agent wait time) . [(1) ]()
- interruption_sensitivity — Controls how easily the agent gets interrupted. Lower values make the agent more resilient to background speech or user interruptions. [(2) ]() , [(1) ]()
Recommended approach:
1. Start with moderate responsiveness (e.g., 0.7-0.8) rather than going too low — this reduces the silence gap while still giving callers more time to speak. [(3) ]()
2. Lower interruption_sensitivity (e.g., 0.3-0.5) — This makes the agent more resilient to pauses being interpreted as end-of-speech, without adding silence.
3. Enable backchanneling — This allows the agent to interject with acknowledgment phrases like "yeah" or "uh-huh" during longer user utterances, which creates more natural conversation flow without full interruptions. [(2) ]() , [(3) ]()
The combination that often works: moderate responsiveness + lower interruption sensitivity + backchanneling enabled. This lets the agent acknowledge the caller is speaking without fully interrupting, while still responding reasonably quickly when they're done.AI Evy
12/18/2025, 10:24 AMMaxime
12/18/2025, 10:34 AMAI Evy
12/18/2025, 10:34 AMAI Evy
12/18/2025, 10:34 AMstt_mode setting
You can try switching between fast and accuracy-focused speech-to-text modes, as this affects how speech patterns are processed. [(3) ]()
3. Check denoising_mode
Try setting denoising_mode to noise-cancellation if you haven't already — this may help with audio clarity issues that could cause false end-of-speech detection.
4. Consider reaching out to support
A similar speakerphone interruption issue was escalated to Retell support, where they analyzed specific call IDs to diagnose the problem. [(4) ]() You may want to provide a call ID to the Retell team for deeper investigation.
If none of these work, I'd recommend reaching out via [Contact Sales]() or checking [Retell AI GitHub]() for additional support options.AI Evy
12/18/2025, 10:34 AMresponsiveness and interruption_sensitivity hasn't resolved the issue, here are additional approaches from the community and documentation:
1. Prompt-based interruption handling
Some users have had success adding explicit interruption handling instructions to their prompt: [(1) ]() , [(2) ]()
## Interruption Handling:
- If a customer makes a noise or interrupts while you are speaking:
- Pause and say:
- "Please go ahead." or "Did you say something?"
- **If they respond with**:
- **"No, I didn't say anything":** Resume from where you stopped in your sentence.
- **"Yes, I was trying to say...":**
- Listen carefully.
- Acknowledge with: "Thank you for sharing that." Then repeat back what they said to confirm with them that you heard them.
- Politely ask: "May I share what I was saying before we continue?"
## Maintaining Context:
- If interrupted, always ensure you resume the original point instead of jumping ahead.
- Avoid skipping key parts of the explanation unless the customer explicitly requests it.AI Evy
12/18/2025, 10:34 AMAI Evy
12/18/2025, 10:35 AMMaxime
12/18/2025, 10:46 AMMaxime
12/18/2025, 10:46 AMAI Evy
12/18/2025, 10:46 AMAI Evy
12/18/2025, 10:46 AMresponsiveness setting, not prompting. [(1) ]()
Key setting:
- responsiveness — Value ranging from [0,1]. Lower value means the agent will "wait more, respond slower," while higher value means faster exchanges. Default is 1.
Prompt-based approach:
While settings are the main lever, you can add style guardrails to your prompt. The recommended structure includes: [(2) ]()
## Style Guardrails
Be concise: Keep responses under 2 sentences unless explaining complex topics.
Be conversational: Use natural language, contractions, and acknowledge what the caller says.
Be empathetic: Show understanding for the caller's situation.
## Response Guidelines
Ask one question at a time: Avoid overwhelming the caller with multiple questions.
Confirm understanding: Paraphrase important information back to the caller.
Recommendation:
1. Lower responsiveness significantly (try 0.3-0.5) — this is the primary control for making the agent wait longer before speaking [(1) ]()
2. Add a style guardrail in your prompt like: "Wait for the caller to fully complete their thought before responding"
3. Enable backchanneling (enable_backchannel: true) — this lets the agent use acknowledgment phrases like "yeah" or "uh-huh" during longer utterances instead of fully responding
The issue is likely that responsiveness is too high, causing the agent to interpret natural pauses as the end of the caller's turn.AI Evy
12/18/2025, 10:46 AMAI Evy
12/18/2025, 10:46 AMAI Evy
12/18/2025, 11:00 AMMaxime
12/18/2025, 2:05 PMAI Evy
12/18/2025, 2:05 PMAI Evy
12/18/2025, 2:05 PM## Silence Rules
- If the user says "hold on", "give me a second", "wait", or similar, respond with ONLY this exact text with nothing before or after: NO_RESPONSE_NEEDED
- If you detect the user is still thinking, pausing, or not ready to respond, output ONLY: NO_RESPONSE_NEEDED
- When you output NO_RESPONSE_NEEDED, do not add ANY other text, punctuation, or explanation before or after it.
- NO_RESPONSE_NEEDED must be the complete and only content of your response.
Important note: NO_RESPONSE_NEEDED stops the agent entirely — it's a terminal command. Reminder messages won't resume unless the conversation remains active.
[(3) ]()
If you're using a Conversation Flow agent rather than a Single/Multi Prompt agent, this issue has been reported to behave differently — the flow nodes may not fully honor the "no response" behavior and output the debug value instead.
[(1) ]() , [(7) ]()AI Evy
12/18/2025, 2:05 PMAI Evy
12/18/2025, 2:05 PMMaxime
12/18/2025, 3:08 PMAI Evy
12/18/2025, 3:08 PMAI Evy
12/18/2025, 3:08 PMNO_RESPONSE_NEEDED qui était prononcé à voix haute.AI Evy
12/18/2025, 3:08 PMAI Evy
12/18/2025, 3:08 PMMaxime
12/18/2025, 3:10 PMMaxime
12/18/2025, 3:10 PMAI Evy
12/18/2025, 3:10 PMAI Evy
12/18/2025, 3:10 PMAI Evy
12/18/2025, 3:10 PMAI Evy
12/18/2025, 3:10 PMMaxime
12/18/2025, 4:01 PMAI Evy
12/18/2025, 4:01 PMAI Evy
12/18/2025, 4:02 PMAI Evy
12/18/2025, 4:02 PMAI Evy
12/18/2025, 4:02 PMMaxime
12/18/2025, 5:46 PMAI Evy
12/18/2025, 5:46 PMAI Evy
12/18/2025, 5:47 PM"Date time reference does not exist, ask user to explicitly say a date time" indicates the LLM isn't passing the datetime correctly. [(1) ]()
2. Cal.com user assignment — Verify that a testing user is added to the event type ID in Cal.com. [(2) ]()
3. Timezone mismatch — Ensure the timezone in your Retell function matches your Cal.com event settings.
4. Add current time to your prompt — Include a current time variable so the LLM is aware of the current time when booking.
5. Location field formatting — One user resolved this by adding explicit prompting to pass location.type and location.integration correctly in the API structure. [(3) ]()
Prompt update recommendation:
Add explicit instructions in your prompt for when to invoke the booking function: [(4) ]()
When user selected a slot, please book the appointment by calling the `book_appointment` function.AI Evy
12/18/2025, 5:47 PMAI Evy
12/18/2025, 5:47 PMMaxime
12/18/2025, 5:51 PMAI Evy
12/18/2025, 5:51 PMAI Evy
12/18/2025, 5:51 PM"Event type with id X not found" indicates the event type may have been removed or the ID is incorrect. Confirm the event type still exists in your Cal.com dashboard.
3. Round Robin events — There have been reported issues specifically with round robin team calendar event types. Switching to a normal (non-round robin) event type has resolved this for some users.
To troubleshoot:
1. Go to your Cal.com dashboard and verify the Event Type ID exists (check the URL when viewing the event type — the number at the end is your ID) . [(2) ]() [(3) ]()
2. Regenerate your API key in Cal.com under Settings → Developer → API Keys.
3. If using a round robin event, try switching to a standard event type to test. [(1) ]()
4. Create a separate support ticket with your agent ID so the Retell team can investigate further.AI Evy
12/18/2025, 5:51 PMAI Evy
12/18/2025, 5:51 PMMaxime
12/18/2025, 6:00 PMMaxime
12/18/2025, 6:00 PMAI Evy
12/18/2025, 6:00 PMAI Evy
12/18/2025, 6:00 PMAI Evy
12/18/2025, 6:00 PMAI Evy
12/18/2025, 6:00 PMMaxime
12/18/2025, 6:01 PMMaxime
12/18/2025, 6:02 PMAI Evy
12/18/2025, 6:02 PMAI Evy
12/18/2025, 6:02 PMAI Evy
12/18/2025, 6:02 PMAI Evy
12/18/2025, 6:02 PMMaxime
12/18/2025, 6:03 PMAI Evy
12/18/2025, 6:03 PMAI Evy
12/18/2025, 6:03 PMcheck_availability tool and a book_appointment tool to the same agent, those names must be different from each other. You cannot have two tools both named book_appointment on the same agent.
I don't have explicit documentation on this specific validation rule in my available sources. If you're still encountering the "error validating Cal.com tools" message after confirming unique tool names, I'd recommend reaching out to Retell support with your agent ID.
Check out these potentially useful sources:
- [Book Calendar]()
- [Contact Sales]()
- [Retell AI GitHub]()AI Evy
12/18/2025, 6:03 PMAI Evy
12/18/2025, 6:03 PMMaxime
12/18/2025, 6:12 PMAI Evy
12/18/2025, 6:12 PMMaxime
12/18/2025, 6:12 PMAI Evy
12/18/2025, 6:12 PMAI Evy
12/18/2025, 6:12 PMAI Evy
12/18/2025, 6:12 PM