#<@1151984844398669834> , What do I need to set so that when I run the tool, the speech will not be
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Short answer:
- Disable interruptions while tools run, and (if you’re using MCP tools) force the agent to finish speaking before executing the tool.
How to set it
-
Agents (general)
- Turn off interruptions so TTS isn’t cut off by user speech:
- Dashboard: Agent > Advanced > Client Events, remove “interruption.” (elevenlabs.io)
- API: omit "interruption" from conversation.client_events when updating the agent. (elevenlabs.io)
- Ensure the opening message is never interrupted (e.g., disclaimers):
- Set agent.disable_first_message_interruptions = true. (elevenlabs.io)
- Turn off interruptions so TTS isn’t cut off by user speech:
-
MCP tools (Model Context Protocol)
- Prevent speech from being cut off and make the agent speak before running the tool:
- Set force_pre_tool_speech = true (server-wide or per-tool override). (elevenlabs.io)
- Set execution_mode = "post_tool_speech" so tool execution starts after the agent’s pre-speech completes. (elevenlabs.io)
- Block user barge‑ins during tool execution:
- Set disable_interruptions = true (server-wide or per-tool override). (elevenlabs.io)
- Prevent speech from being cut off and make the agent speak before running the tool:
Optional UX improvement
- Play a tool call sound during execution to avoid perceived “cut off” while the agent is quiet (configure tool_call_sound and tool_call_sound_behavior). (elevenlabs.io)
If you share your current setup (Agents vs. MCP tools, and where interruptions occur), I can point to the exact payload fields to change.
Sources:
Conversation flow | ElevenLabs Documentation
Update agent | ElevenLabs Documentation
September 15, 2025 | ElevenLabs Documentation
Get MCP server | ElevenLabs Documentation
October 27, 2025 | ElevenLabs Documentation
October 7, 2025 | ElevenLabs Documentation
Tool Call Sounds | ElevenLabs Documentation
@twin garnet , STILL DOES NOT END sentences and be cut
Thanks for flagging. Sentence endings getting cut is usually due to streaming finalization, chunking without context, or hitting model text limits. Here’s how to fix it—pick the case that matches your integration:
If you’re using the WebSocket TTS (stream-input):
- Finalize the stream: after your last text chunk, send an empty text message { "text": "" } or close the connection to flush the remaining audio and receive the Final Output. Otherwise playback can sound truncated. (elevenlabs.io)
- For full-sentence chunks, set auto_mode=true to reduce buffering overhead. Also consider increasing inactivity_timeout if the server closes the context during long pauses. (elevenlabs.io)
- If you want SSML (e.g., <break time="1.0s" />) via WebSocket, enable enable_ssml_parsing=true. Note: Eleven v3 currently does not support SSML break tags—use punctuation/techniques instead. (elevenlabs.io)
If you’re using HTTP TTS (/v1/text-to-speech or /stream):
- Respect per‑model character limits; exceeding them can truncate output. Typical limits: Eleven v3 ~5,000 chars; Multilingual v2 ~10,000; Flash v2.5 and Turbo v2.5 ~40,000. (elevenlabs.io)
- If you must split text, keep sentence boundaries intact and pass context so sentences finish naturally:
- previous_text / next_text or previous_request_ids / next_request_ids in the request body. Works with both convert and stream endpoints. (elevenlabs.io)
Prompting tips that influence natural sentence endings:
- Use punctuation to guide delivery (commas, periods, dashes) and ellipses (…) for trailing lines; these cues affect flow. (elevenlabs.io)
- You can also use <break time="x.xs" /> to insert pauses (except on Eleven v3 as noted above). (elevenlabs.io)
If you share which endpoint (WebSocket vs HTTP), model_id, and a minimal payload example, I can pinpoint the exact adjustment. (elevenlabs.io)
Sources:
WebSocket | ElevenLabs Documentation
WebSocket | ElevenLabs Documentation
WebSocket | ElevenLabs Documentation
Text to Speech | ElevenLabs Documentation
Create speech | ElevenLabs Documentation
Text to Dialogue | ElevenLabs Documentation
Controls | ElevenLabs Documentation
Create speech | ElevenLabs Documentation
@twin garnet , where do i set a webhook to get all required data before the call?
Use the “conversation initiation” webhook in ElevenAgents.
- Global setup: In ElevenAgents’ settings, add your webhook URL and any auth secrets. (elevenlabs.io)
- Per‑agent enablement: On the target agent’s Security tab, turn on “Fetch conversation initiation data” for inbound Twilio calls and choose which fields can be overridden. (elevenlabs.io)
- Behavior: ElevenAgents calls this webhook during Twilio’s dialing window (before audio connects) so you can return the conversation_initiation_client_data JSON (dynamic_variables and optional overrides). (elevenlabs.io)
Note: Webhooks are created/managed in the general Webhooks settings and then selected within product settings like Agents. (elevenlabs.io)
Sources:
Twilio personalization | ElevenLabs Documentation
Twilio personalization | ElevenLabs Documentation
Twilio personalization | ElevenLabs Documentation
Webhooks | ElevenLabs Documentation
@twin garnet , how do i set the variables sent on the webhook at the beginning of the call, i need to post the customer phone number
Short answer
- You don’t “set” what ElevenAgents sends to your initiation webhook. On inbound Twilio calls, ElevenAgents POSTs a fixed payload that already includes caller_id (the customer’s phone number), agent_id, called_number, and call_sid. Read caller_id from that request and use it as needed. (elevenlabs.io)
How to include the number in the conversation
- Configure the initiation webhook
- In ElevenAgents settings, set your webhook URL and (optionally) add secrets for auth. Then, in the agent’s Security tab, enable “Fetch conversation initiation data for inbound Twilio calls.” (elevenlabs.io)
- Implement the webhook and echo caller_id into dynamic variables
- Your endpoint receives POST params including caller_id.
- Respond with a conversation_initiation_client_data object and put the number into dynamic_variables so the agent/tools can use it (e.g., customer_phone). (elevenlabs.io)
Example response (structure from docs)
{
"type": "conversation_initiation_client_data",
"dynamic_variables": {
"customer_phone": "<value from incoming caller_id>"
}
}
This uses the documented conversation_initiation_client_data shape and dynamic_variables field. (elevenlabs.io)
Alternative: use the built-in system variable
- Inside prompts or tools you can reference system__caller_id directly; it’s auto-populated for voice calls. Use it if you don’t need a custom name. (elevenlabs.io)
Notes
- If you mark any dynamic variables as required in your agent and fail to return them in the initiation response, the call can fail with “Missing required dynamic variables …”. (help.elevenlabs.io)
Sources:
Twilio personalization | ElevenLabs Documentation
Twilio personalization | ElevenLabs Documentation
Twilio personalization | ElevenLabs Documentation
Personalization | ElevenLabs Documentation
Dynamic variables | ElevenLabs Documentation
Where can I locate the reason for my call failing? – ElevenLabs
@twin garnet what is the best practice to write in the prompt for the agent speaks fluently with no cut
Short answer: Use the prompt to shape delivery and clarity, but prevent “cut‑offs” with conversation‑flow settings. The system prompt does not control turn‑taking; that’s configured at the platform level. (elevenlabs.io)
What to include in your system prompt
- Add a concise Tone section that instructs the agent to keep responses clear and brief (e.g., 2–3 sentences) and to use brief affirmations like “I understand” or “Let me check that,” especially after complex steps. (elevenlabs.io)
- If you use Eleven v3 Conversational (Expressive Mode), you can allow the LLM to use expressive tags (e.g., [laughs], [whispers], [slow]) for more natural delivery; tags typically affect the next 4–5 words. (elevenlabs.io)
- For controlled pacing, explicitly permit short pauses. With Eleven v3, use [pause], [short pause], or [long pause] in the model’s output; other TTS models support SSML <break time="..."/> up to 3s. Note this in your prompt if you want the agent to use them. (help.elevenlabs.io)
Settings outside the prompt that stop speech from getting cut
- Disable user interruptions if you need the agent to finish speaking without being barged in. This is set under Client Events → Interruptions. (elevenlabs.io)
- Set Turn eagerness to Normal or Patient so the agent waits for natural breaks and doesn’t jump in too early; choose based on your use case. (elevenlabs.io)
- Tune Turn timeout (how long to wait during user silence) to avoid premature prompts; typical ranges are 5–10s for fast back‑and‑forth or 10–30s when users need more time. (elevenlabs.io)
- Use Soft timeout with a short filler (e.g., “Hmm…”) to avoid awkward silence while the LLM is thinking; it triggers once per turn and you can set the delay (0.5–8.0s). Avoid time promises like “one second.” (elevenlabs.io)
Voice/TTS tips that improve fluency
- Use Eleven v3 Conversational (Expressive Mode) for better timing and fewer interruptions via the new turn‑taking system. (elevenlabs.io)
- If needed, adjust speaking Speed (0.7–1.2) in voice settings rather than forcing pace in the prompt. (help.elevenlabs.io)
In practice, pair a clean, concise Tone section (clarity, brief affirmations, short responses) with Interruptions off, suitable Turn eagerness, and Soft/Turn timeouts. That combination yields fluent speech with minimal
@twin garnet , According to my dashboard i have 3 active call , how can i inacive them?
Short answer: you can’t “toggle off” Active Calls in the dashboard. That counter is just a real‑time view of ongoing sessions. To terminate them, use one of the supported end-call methods below.
Ways to end active calls
- Enterprise real-time monitoring: connect to the monitoring WebSocket for the conversation and send the control command { "command_type": "end_call" } to hang up immediately. This feature is enterprise-only. (elevenlabs.io)
- Agent “End call” system tool: ensure your agent has the End call tool enabled so it can hang up (it’s added by default for agents created in the dashboard; add it manually if you created the agent via API/SDK). (elevenlabs.io)
- Client SDKs: if the calls originate from your web or mobile app, call endSession() on the Conversation to disconnect. (JavaScript and React Native SDKs both expose endSession.) (elevenlabs.io)
Notes
- The Active Calls number appears at the top-left of the Agents dashboard and reflects ongoing sessions; it isn’t a control. (elevenlabs.io)
- To verify that calls have ended, check your Calls History in the dashboard (referenced in the Twilio native integration guide). (elevenlabs.io)
If you need help ending a stuck session, contact support with the conversation/call IDs. (help.elevenlabs.io)
Sources:
Real-time monitoring | ElevenLabs Documentation
End call | ElevenLabs Documentation
JavaScript SDK | ElevenLabs Documentation
ElevenAgents dashboard | ElevenLabs Documentation
Twilio native integration | ElevenLabs Documentation
How can I contact support? – ElevenLabs
@twin garnet I have deleted the agent and still there are 6 ongoing calls...
@twin garnet To terminate those ongoing calls, end each active conversation directly:
- Find the active conversation IDs:
- Call List conversations and look for status=in-progress (optionally filter by agent_id or time window). Then fetch a conversation to see its status values. (elevenlabs.io)
- Force-end the calls:
- Connect to the monitoring WebSocket for each conversation_id:
wss://api.elevenlabs.io/v1/convai/conversations/{conversation_id}/monitor
Then send {"command_type":"end_call"} to immediately terminate the call. Note: real-time monitoring is enterprise-only. (elevenlabs.io)
- Connect to the monitoring WebSocket for each conversation_id:
- If you started the calls from a client/SDK, you can also end them client-side (ends the session and disconnects):
- JavaScript SDK: await conversation.endSession()
- Kotlin SDK: session.endSession() (elevenlabs.io)
- Verify they’re gone: the Active Calls counter on the Dashboard will drop as sessions end. (elevenlabs.io)
If something looks stuck or failed, check the Call History page for error reasons. (help.elevenlabs.io)
If you need exact endpoints/requests, I can draft them with your workspace details.
Sources:
List conversations | ElevenLabs Documentation
Real-time monitoring | ElevenLabs Documentation
JavaScript SDK | ElevenLabs Documentation
Agents Platform dashboard | ElevenLabs Documentation
Where can I locate the reason for my call failing? – ElevenLabs
@twin garnet How do I restore a deleted agent?
Short answer: there’s no documented way to restore a deleted agent.
- ElevenLabs only documents deleting an agent via DELETE /v1/convai/agents/:agent_id; there is no “restore/undelete” endpoint or feature in the API reference. (elevenlabs.io)
- To get it back, recreate the agent (via dashboard or API: POST /v1/convai/agents/create). (elevenlabs.io)
- If the agent was archived (not deleted), unarchive it instead; agents support an archived flag in listings, and the platform exposes archiving as a setting. (elevenlabs.io)
- If you need help investigating an accidental deletion, contact ElevenLabs Support. (help.elevenlabs.io)
Note: Branches can be archived and later unarchived; this is separate from deleting an agent. (elevenlabs.io)
Sources:
Delete agent | ElevenLabs Documentation
Create agent | ElevenLabs Documentation
List agents | ElevenLabs Documentation
How can I contact support? – ElevenLabs
Agent versioning | ElevenLabs Documentation
@twin garnet what is the default time for call termination?