#Is it possible to make the agent not interrupt for every word the user speaks? Suppose the agent ca

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lyric flickerBOT
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AI-generated Answer for sdey.

Short answer: Yes—disable “interruptions” for the agent so it won’t stop mid‑sentence when the caller says brief backchannels like “ok.” You can do this in the agent’s Advanced settings (Client Events) under Conversation flow; turning interruptions off makes the agent ignore user speech while it’s speaking. You can also set Turn eagerness to Patient to reduce jump‑ins and make pacing more natural. (elevenlabs.io)

Nuanced control (ignore short backchannels but still allow real barge‑in) isn’t exposed as a built‑in sensitivity/phrase list in the agent settings. To achieve that, implement your own barge‑in policy with the lower‑level APIs:

  • Drive speech with the Multi‑Context TTS WebSocket and only close the current speaking context when your logic decides a “real” interruption occurred (e.g., minimum utterance length or keyword intent), otherwise keep the context playing. (elevenlabs.io)
  • Capture user audio with the Realtime Speech‑to‑Text API and use VAD or Manual commit to finalize transcripts only when they meet your threshold; treat only committed segments as interrupts. (elevenlabs.io)

References:

Sources:
Conversation flow | ElevenLabs Documentation
Multi-Context Websocket | ElevenLabs Documentation
Realtime | ElevenLabs Documentation
Conversation flow | ElevenLabs Documentation
Multi-Context Websocket | ElevenLabs Documentation
Realtime | ElevenLabs Documentation

hushed radish
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i do not want to disable interruptions. i want it to be enabled but not too disruptive. when a user says yeah affirmatively they might not always be trying to interrupt. how do i achieve this? interruptions when multiple words are spoken, none when 1 word is spoken?

lyric flickerBOT
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AI-generated Answer for sdey.

Short answer: there isn’t a built‑in “only interrupt if N>1 words” toggle in ElevenLabs Agents today. Interruption is on/off, with turn‑taking tuned via “Turn eagerness.” (elevenlabs.io)

What you can do to keep interruptions enabled but less disruptive:

  • Lower turn eagerness. Set Turn eagerness to Normal or Patient so the agent waits longer before taking its turn; this reduces barge‑ins triggered by very brief backchannels. You can change this in the dashboard or via API, and optionally adjust it dynamically with workflows. (elevenlabs.io)
  • Prompt for backchannel handling. In your system prompt, instruct the agent to treat single‑word acknowledgements (“yeah”, “ok”, “uh‑huh”) as backchannels and continue its thought without restarting or advancing to the next step. Note: prompts shape response behavior but do not change turn‑taking mechanics. (elevenlabs.io)
  • Use Skip turn for explicit pauses. Tell the model to call the skip_turn system tool only when the user clearly asks to pause (e.g., “hold on,” “one sec”), not on brief acknowledgements. This avoids the agent re‑speaking after tiny interjections. (elevenlabs.io)
  • If you need a strict “>1 word before we cut in” rule, implement it client‑side with the real‑time/WebSocket stack. Listen for user_transcript events and gate your own barge‑in: only terminate/replace the current speech when the transcript contains more than one content word; otherwise ignore and keep playing. The WebSocket event model (including interruption and agent_response_correction) and the Multi‑Context WebSocket guide show how to manage and replace speaking contexts programmatically. (elevenlabs.io)

Background: the platform’s turn‑taking/VAD aims not to treat very short bursts like “uh‑huh” as a new turn, but real conditions (noise, overlaps) can still cause premature interruptions—another reason to combine Patient turn‑eagerness with the prompt guidance above. (elevenlabs.io)

Where to configure:

  • Interruptions: Advanced tab → Client events (enable/disable). (elevenlabs.io)
  • Turn eagerness: Agent settings or API (Eager/Normal/Patient). (elevenlabs.io)

If you want, share how you deploy (dashboard only vs. SDK/WebSocket/telephony), and I

hushed radish
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does the platofrm not give us areas to download the batch calls we made using sip for example? i want a csv with all the relevant data for the batch calls i made, is it possible?