I am using Flash model and i want to the agent to slow down or take pauses while saying address and | ElevenLabs | Page 1

deep ospreyBOT Feb 23, 2026, 9:13 AM

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AI-generated Answer for m_adnan_

Short answer: not reliably. Ellipses (…) and hyphens can sometimes add brief hesitations, but they’re inconsistent. For reliable pauses with Flash, use SSML break tags and/or the voice speed setting. (help.elevenlabs.io)

What to use

SSML breaks: Insert <break time="Xs" /> (max 3.0s) wherever you want a pause. Works in Speech Synthesis and via the API on all models except Eleven v3, including Flash v2/v2.5. Avoid excessive breaks to prevent artifacts. Example:
The street number is one <break time="0.4s" /> four <break time="0.4s" /> four <break time="0.4s" /> four <break time="0.4s" /> four. <break time="0.8s" /> The street name is Beach Boulevard. <break time="0.8s" /> Suite <break time="0.3s" /> two <break time="0.3s" /> three. <break time="0.8s" /> The city is Jacksonville Beach. <break time="0.6s" /> The state is Florida. <break time="0.6s" /> The zip code is three <break time="0.25s" /> two <break time="0.25s" /> two <break time="0.25s" /> five <break time="0.25s" /> zero. (help.elevenlabs.io)
Speed control: Set the voice speed below 1.0 to slow overall delivery (range 0.7–1.2; default 1.0). Available in TTS (web and API) and Agents. (elevenlabs.io)

Numbers, phone, and addresses

Flash v2.5 does not normalize numbers by default. If you need digit-by-digit reads, write them explicitly as words and separate with short <break> tags as shown. Enabling built‑in text normalization for Flash v2.5 requires an Enterprise plan (apply_text_normalization='on'); otherwise pre-format in your prompt/LLM. (elevenlabs.io)

Why your current prompt isn’t ideal

“one... four... — — —” may pause, but behavior varies by voice and often sounds hesitant; use <break> for consistent timing. (help.elevenlabs.io)

References

How to add pauses and recommended syntax (<break time="…"/>), caveats, and punctuation alternatives: ElevenLabs Help Center. (help.elevenlabs.io)
SSML break support (all models except v3) and Flash phoneme/SSML support details: ElevenLabs Help Center. (help.elevenlabs.io)
Flash model guidance on number normalization and Enterprise-only normalization toggle: ElevenLabs Docs (Models) and API reference. (elevenlabs.io)
Speed control range and availability in API/Agents; speed in voice settings schema: ElevenLabs Docs/Help Center. (elevenlabs.io)

prisma chasm Feb 23, 2026, 9:16 AM

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Does flash model support ssml tags?

deep ospreyBOT Feb 23, 2026, 9:16 AM

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AI-generated Answer for m_adnan_

Short answer: Partially.

SSML break (pause) tags: Supported by Flash (v2 and v2.5). Use <break time="1.5s" /> with a maximum of 3 seconds per break. All models except Eleven v3 accept SSML break tags. Sources: help article on pauses/SSML and prompting best practices. (help.elevenlabs.io)
SSML phoneme (<phoneme>) tags: Documented as supported only on Eleven Flash v2 (English-only), Eleven Turbo v2, and Eleven English v1. Flash v2.5 is not listed as compatible. CMU Arpabet and IPA alphabets are supported where phonemes are available. Sources: pauses/SSML help article and prompting best practices. (help.elevenlabs.io)
Model IDs for clarity: Flash v2 = eleven_flash_v2; Flash v2.5 = eleven_flash_v2_5. Source: model ID reference. (help.elevenlabs.io)

If you need reliable pauses with Flash, prefer <break time="X.Xs" />. For custom pronunciations via <phoneme>, use Flash v2 specifically. (help.elevenlabs.io)

Sources:
Do pauses and SSML phoneme tags work with the API? – ElevenLabs
Do pauses and SSML phoneme tags work with the API? – ElevenLabs
How do I find the model ID? – ElevenLabs
Do pauses and SSML phoneme tags work with the API? – ElevenLabs

prisma chasm Feb 23, 2026, 9:25 AM

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SSML TAGS Are not working with flash

deep ospreyBOT Feb 23, 2026, 9:25 AM

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AI-generated Answer for m_adnan_

Short answer: Yes—Flash supports SSML break tags and (for English only) SSML phoneme tags. If they aren’t working, it’s usually syntax, transport, or model/version usage.

What’s supported

Pauses: Use <break time="x.xs" /> with x ≤ 3. Example: “The ZIP is three… two… two… five… zero.” <break time="1.0s" />. Eleven v3 is the only model that does not support SSML breaks. (elevenlabs.io)
Phonemes: <phoneme> (CMU Arpabet or IPA) is supported on Eleven Flash v2.x, Eleven Turbo v2.x, and Eleven English v1 (English only). (elevenlabs.io)

Common reasons SSML appears to “not work” on Flash

Real‑time/WebSocket streaming: If you’re using WebSockets and phoneme-based pronunciation dictionaries, you must add enable_ssml_parsing=true to the stream-input URI:
wss://api.elevenlabs.io/v1/text-to-speech/{voice_id}/stream-input?model_id=eleven_flash_v2_5&enable_ssml_parsing=true
Without this flag, phoneme SSML won’t be parsed in real time. (elevenlabs.io)
Break tag details: <break time="1.5s" /> is the correct syntax; durations over 3s aren’t honored. Excessive breaks in one generation can cause unstable pacing or artifacts. (elevenlabs.io)
Using unsupported SSML: ElevenLabs documentation guarantees support for <break> and <phoneme>; other SSML tags are not documented as supported. (elevenlabs.io)
Number pacing/clarity on Flash v2.5: Flash v2.5 minimizes latency and does less automatic number normalization. For phone/address readouts, explicitly insert breaks and/or spell out digits; Enterprise can set apply_text_normalization=on. (elevenlabs.io)

Quick test payload (TTS REST or WebSocket text message)
"The street number is one <break time="0.5s"/> four <break time="0.5s"/> four <break time="0.5s"/> four <break time="0.5s"/> four. The phone is <break time="0.5s"/> five <break time="0.4s"/> five <break time="0.4s"/> five <break time="0.6s"/> one <break time="0.4s"/> two <break time="0.4s"/> three <break time="0.4s"/> four."

If you’re still seeing no effect, please share whether you’re calling REST vs. WebSocket, and confirm the model_id (e.g., eleven_flash_v2_5) so I can point to the exact request shape. (elevenlabs.io)

prisma chasm Feb 23, 2026, 9:28 AM

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I mean i am seeing the it working But voice says dddddddoooo yoou EEeeeeeee like this

deep ospreyBOT Feb 23, 2026, 9:28 AM

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AI-generated Answer for m_adnan_

What you’re hearing (elongated “doooo youuu” vowels) is a known artifact that typically shows up when:

many SSML pauses are inserted in a single generation, or
pauses are faked with punctuation like “.....” or “- - -”, or
the speaking speed is set too low. (elevenlabs.io)

What to do

Use SSML break tags for pauses with Flash, not ellipses or repeated dashes. Format: <break time="x.xs" /> with a max of 3 seconds. Avoid stacking lots of breaks in one request, as this can cause speed-ups and audio artifacts. (help.elevenlabs.io)
Keep speed near the default 1.0; supported range is 0.7–1.2 and extreme values can degrade quality. (elevenlabs.io)
Normalize numbers/addresses before TTS. For digit-by-digit delivery, write them explicitly as words and optionally add short breaks between groups, e.g., “one, four, four, four, four” with a brief <break> where needed, rather than “one... four...”. Models (especially Flash v2.5) can struggle with raw numbers, phone formats, and addresses unless normalized. (elevenlabs.io)
If you’re testing Eleven v3, note SSML <break> isn’t supported there (use [short pause]/[long pause] tags only in v3). Flash should use SSML <break>. (help.elevenlabs.io)

If the artifact persists after switching to explicit <break> tags and a speed around 1.0, please share a minimal example (model_id, speed value, and the exact text you send) and I’ll help pinpoint the cause. (elevenlabs.io)

Sources:
Best practices | ElevenLabs Documentation
Do pauses and SSML phoneme tags work with the API? – ElevenLabs
Speed control | ElevenLabs Documentation
Best practices | ElevenLabs Documentation
Do pauses and SSML phoneme tags work with the API? – ElevenLabs
Speed control | ElevenLabs Documentation

prisma chasm Feb 23, 2026, 9:54 AM

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Even after removing all the eclipses and dot i can still hear eeeeee wwwwwould artificial vocie

deep ospreyBOT Feb 23, 2026, 9:54 AM

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AI-generated Answer for m_adnan_

Short answer: yes, this can happen, and it’s typically caused by punctuation “tricks” and/or aggressive voice settings. Here’s how to fix it with officially supported options:

Use SSML <break> for pauses instead of punctuation. Supported on Flash; up to 3s per break. Example: The street number is one <break time="0.4s" /> four <break time="0.4s" /> four…. Avoid overusing breaks, which can introduce artifacts. (help.elevenlabs.io)
Adjust voice settings to reduce stretch/instability:
- style = 0 (recommended; higher values can cause instability and extra sounds)
- increase stability (e.g., ~0.6–0.85) for more consistent delivery
- keep similarity_boost moderate; very high values on imperfect samples can reproduce artifacts
- speed can be lowered (min ~0.7), but extreme values may degrade quality. (elevenlabs.io)
If you’re streaming via WebSockets, let the buffer collect enough text (or enable auto_mode) so the model isn’t forced to generate from very tiny chunks. This improves delivery consistency. (elevenlabs-sdk.mintlify.app)
For phone numbers and addresses, Flash v2.5 does not normalize numbers by default. Pre-normalize with your LLM (spell out digits/groups) or, if you have Enterprise, set apply_text_normalization="on"; alternatively use Multilingual v2 for stronger normalization. (elevenlabs.io)

If you share your model_id, transport (REST vs WebSocket), and current voice_settings, I can suggest exact values and an example payload. (elevenlabs.io)

Sources:
Do pauses and SSML phoneme tags work with the API? – ElevenLabs
Text to Speech (product guide) | ElevenLabs Documentation
Websockets - ElevenLabs
Models | ElevenLabs Documentation
Generate audio in real-time | ElevenLabs Documentation

prisma chasm Feb 23, 2026, 7:01 PM

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Stavbility is at 0.65
Speed is at 0.98
Similarity is at 0.72 But still with SSML tag the pronounciation is good i cann hear agent say eeeee wwwwwowuld like this

deep ospreyBOT Feb 23, 2026, 7:01 PM

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AI-generated Answer for m_adnan_

Short answer: the “drawn‑out vowels” you’re hearing are a known side‑effect of how pauses/SSML are handled, and in some cases from model/tag mismatches. Here’s how to fix it with officially supported options.

Confirm model and SSML support

Break/pause tags: Supported by all models except Eleven v3. Use <break time="x.xs" /> (max 3s). Overusing break tags can make speech speed up or introduce artifacts/noises. This can sound like elongated vowels. Reduce the number and duration of breaks. (help.elevenlabs.io)
Phoneme tags (IPA or CMU): Only supported on Eleven Flash v2, Eleven Turbo v2, and English v1. They are not listed as supported on Flash v2.5. If you need phoneme SSML with Flash, use model_id=eleven_flash_v2 (English‑only). (elevenlabs.io)
Model IDs to check/switch: Flash v2.5 = eleven_flash_v2_5; Flash v2 = eleven_flash_v2. (help.elevenlabs.io)

Settings that reduce the “eeee / wwww” effect

Stability: Higher values make delivery more consistent/less expressive; this can reduce unintended stretching. (elevenlabs.io)
Speed: Lower values slow the speaking rate; this is the supported way to slow the agent globally. (elevenlabs.io)

If you’re using WebSockets/Agents

When using phoneme‑based pronunciation dictionaries over the TTS WebSocket, you must add enable_ssml_parsing=true to the WebSocket URL, or phoneme tags won’t be interpreted. (elevenlabs.io)
For best quality, send sufficient text per chunk (don’t micro‑chunk every few characters), or use the default chunk_length_schedule; ultra‑short chunks can degrade prosody. (elevenlabs.io)

Practical adjustments to try (all officially supported)

Replace runs of dots/ellipses with short, explicit breaks and use fewer of them. Example for digits: 1 <break time="0.3s" /> 4 <break time="0.3s" /> 4 <break time="0.3s" /> 4 <break time="0.3s" /> 4. Keep breaks ≤3s and avoid inserting them after every single syllable. (help.elevenlabs.io)
Lower voice_settings.speed below 1.0 to slow overall pace; raise voice_settings.stability to increase consistency. (elevenlabs.io)
If you require SSML phonemes and are currently on eleven_flash_v2_5, switch to eleven_flash_v2. (elevenlabs.io)

References

Pauses and limits; artifacts from excessive breaks: (help.elevenlabs.io)
Phoneme SSML support (Flash v2/Turbo v2/English v1 only): (elevenlabs.io)
Voice settings (stability, speed, similarity_boost): (elevenlabs.io)
Realtime/WebSocket SSML parsing for phoneme dictionaries: (elevenlabs.io)
Flash model IDs (v2 vs

prisma chasm Feb 24, 2026, 4:34 PM

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How can i make the tool execution silent without announcing it result make it background process

deep ospreyBOT Feb 24, 2026, 4:34 PM

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AI-generated Answer for m_adnan_

Here are the supported ways to make a tool run “in the background” (no spoken acknowledgement or result):

Disable tool-call audio cues. In the tool’s configuration, set Tool call sound to None (or leave it unset). This keeps the agent silent while the tool runs. (elevenlabs.io)
Use Client Tools without “Wait for response.” If you don’t tick Wait for response, the tool’s output is not appended to the conversation context, so the agent won’t mention it. Use this for fire‑and‑forget actions you handle in your UI. (elevenlabs.io)
Add the Skip Turn system tool when you want the agent to remain quiet. Calling skip_turn results in “No Verbal Response”; the agent waits for the next user input. You can include this system tool in your agent and have the LLM invoke it when background work is appropriate. (elevenlabs.io)
Suppress any client-side surfacing of tool activity. On the WebSocket stream, listen for agent_tool_response events to track tool execution, but don’t play audio or display anything to the user. These events are for telemetry/UX control only. (elevenlabs.io)
If you need to pass info to the agent silently (not as a user turn), use contextual_update client-to-server events. They do not interrupt the conversation flow and are processed asynchronously. (elevenlabs.io)

Notes:

If you’re using server/webhook tools and still don’t want the agent to narrate results, guide this in your system prompt (e.g., “Execute tools silently; only speak if the user asks for the outcome”). The server-tools docs explicitly recommend defining how responses should be handled in the prompt. (elevenlabs.io)

If you need an example for your exact SDK or payload, share which SDK you use and how you’re wiring the tool, and I’ll map these settings to code.

prisma chasm Feb 24, 2026, 4:41 PM

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I want to make webhook tool run silently

deep ospreyBOT Feb 24, 2026, 4:41 PM

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AI-generated Answer for m_adnan_

Short answer:

Disable tool audio: In the webhook tool’s configuration, set Tool call sound to “None” so no sound plays while the tool executes. (elevenlabs.io)
Don’t force pre-speech: Ensure force_pre_tool_speech is false on the webhook tool (default). This prevents the agent from saying something like “Let me check…” before calling the tool. You can set/check this via the Tools API. (elevenlabs.io)
Suppress narration of the result: Control this in your system prompt (e.g., define that the agent should not announce that a tool was called and should only continue the dialog without reading raw tool outputs). The Prompting Guide explicitly recommends specifying tool-usage behavior in the system prompt. (elevenlabs.io)

Optional:

If you need post-action processing that’s completely silent to the user, handle it after the session using Post‑call Webhooks rather than during the live turn. (elevenlabs.io)

Sources:
Tool Call Sounds | ElevenLabs Documentation
Create tool | ElevenLabs Documentation
Prompting guide | ElevenLabs Documentation
Post-call webhooks | ElevenLabs Documentation

prisma chasm Feb 25, 2026, 9:57 AM

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How can import a 8x8 phone number through SIP ??

deep ospreyBOT Feb 25, 2026, 9:57 AM

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AI-generated Answer for m_adnan_

Short answer: yes—use ElevenLabs SIP trunking. There’s no 8x8‑specific guide, but any standard SIP trunk is supported.

What to do

In ElevenLabs (Agents dashboard):
- Go to Phone Numbers > Import a phone number from SIP trunk, enter your 8x8 DID in E.164 (e.g., +15551234567). Configure transport (TCP or TLS) and media encryption (SRTP Allowed/Required). Set Address to your provider’s SIP termination hostname (8x8’s trunk FQDN), add digest auth if your trunk uses it, then Import and Assign an agent. (elevenlabs.io)
In 8x8 (your SIP provider):
- Route inbound calls for that DID to ElevenLabs using the SIP URI format:
  sip:+15551234567@sip.rtc.elevenlabs.io:5060;transport=tcp
  Use TLS if preferred (provider must support TLS; TLS commonly runs on 5061). Ensure codecs G.711 or G.722 are available. (elevenlabs.io)

Notes

Non‑Twilio numbers are explicitly supported via SIP trunking. (help.elevenlabs.io)
ElevenLabs is compatible with most SIP trunk providers (examples listed in docs); 8x8 should work if it adheres to SIP standards. (elevenlabs.io)
UDP transport isn’t available; use TCP or TLS. For IP allowlisting, Enterprise static IP SIP endpoints are available. (elevenlabs.io)
You can keep existing numbers/routing and add AI agents via SIP. (elevenlabs.io)

Full setup and troubleshooting details: SIP trunking guide. (elevenlabs.io)

Sources:
SIP trunking | ElevenLabs Documentation
SIP trunking | ElevenLabs Documentation
Can I connect a non-Twilio phone to ElevenLabs Agents (formerly Conversational AI)? – ElevenLabs
SIP trunking | ElevenLabs Documentation
SIP trunking | ElevenLabs Documentation
ElevenLabs — SIP Upgrades for ElevenLabs Agents
SIP trunking | ElevenLabs Documentation

prisma chasm Feb 25, 2026, 10:09 AM

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This conversation failed with the following reason:

transport<TCP> dial err=dial tcp :0->129.159.80.31:5060: connect: no route to host

the outbound proxy port i have is 5299 (UDP)

deep ospreyBOT Feb 25, 2026, 10:09 AM

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AI-generated Answer for m_adnan_

Short answer: ElevenLabs SIP trunking does not support UDP transport. You must use TCP (port 5060) or TLS (port 5061). Point your SIP equipment at sip.rtc.elevenlabs.io and ensure your firewall allows those ports. UDP 5299 is not supported, so an outbound proxy that only listens on UDP:5299 will not work. See details below. https://elevenlabs.io/docs/eleven-agents/phone-numbers/sip-trunking

What to change

Transport: Set SIP signaling to TCP or TLS. UDP is “not currently available.” https://elevenlabs.io/docs/eleven-agents/phone-numbers/sip-trunking
Inbound to ElevenLabs (your PBX -> ElevenLabs): Dial a SIP URI that includes an identifier, e.g. sip:+15551234567@sip.rtc.elevenlabs.io:5060;transport=tcp. https://elevenlabs.io/docs/eleven-agents/phone-numbers/sip-trunking
Outbound from ElevenLabs (ElevenLabs -> your trunk): In Phone Numbers > Import SIP Trunk, set:
- Address: your provider’s hostname or IP (hostname only; not a full SIP URI).
- Transport: TCP or TLS.
- Media Encryption: as required (SRTP Allowed/Required if your provider supports it). https://elevenlabs.io/docs/eleven-agents/phone-numbers/sip-trunking
Networking: Allow SIP signaling on 5060/TCP and 5061/TLS; “no route to host” typically indicates a network/firewall path issue. https://elevenlabs.io/docs/eleven-agents/phone-numbers/sip-trunking
Static IP allowlisting (optional, Enterprise): Use sip-static.rtc.elevenlabs.io (or region-specific static endpoints) if you must whitelist source IPs. https://elevenlabs.io/docs/eleven-agents/phone-numbers/sip-trunking

Why your current setup fails

Your provider’s outbound proxy is on UDP:5299, but ElevenLabs only accepts TCP or TLS. Reconfigure your SIP trunk or place a SIP SBC/proxy that offers TCP/TLS toward ElevenLabs and talks whatever your carrier needs on the other side. https://elevenlabs.io/docs/eleven-agents/phone-numbers/sip-trunking

If you need to place outbound calls programmatically once the trunk is reachable, use the SIP trunk outbound-call API. https://elevenlabs.io/docs/agents-platform/api-reference/sip-trunk/outbound-call

prisma chasm Feb 26, 2026, 4:05 PM

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I am using flash model for tts with Gpt 4.1 mini as primary LLM tell me how can i tweak the prompt That make the whole conversation Natural

deep ospreyBOT Feb 26, 2026, 4:05 PM

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AI-generated Answer for m_adnan_

Short answer: With Flash, “natural” conversational TTS mainly comes from (a) giving your LLM TTS‑friendly text and (b) streaming it to Flash correctly. Here’s exactly what to put in your prompt and how to send it.

What to add to your LLM prompt (Flash-compatible)

Spell everything out. Instruct the LLM to write numbers, dates, symbols, and acronyms in words (e.g., “one hundred dollars,” “January twenty‑sixth, two thousand twenty‑six,” “U‑S‑A”) so Flash pronounces them correctly. This mirrors ElevenLabs’ guidance and avoids ambiguity. (help.elevenlabs.io)
Insert explicit short pauses with SSML break tags where a human would naturally pause (breaths, clause breaks, hesitations). Flash supports <break time="Xs" /> up to 3 seconds. Example to show your LLM: “… Give me one second. <break time="0.6s" /> Okay, let’s continue.” (help.elevenlabs.io)
Keep a single language per message. Tell the LLM not to mix languages inside one reply; if your text is short/ambiguous, set language_code on the API call to lock pronunciation. (help.elevenlabs.io)
For tricky words/names, have the LLM include SSML phoneme tags (CMU or IPA) only when needed. Flash v2 supports SSML phoneme tags. Example: <phoneme alphabet="ipa" ph="ˈdʒɒn">John</phoneme>. (help.elevenlabs.io)

How to stream it so it sounds natural (low-latency turn taking)

Use the TTS WebSocket. Keep Eleven’s default chunk_length_schedule; at the end of each user/agent turn, send flush:true so the last buffered text renders immediately. If you prefer less manual control, set auto_mode:true to let the API trigger audio generation automatically. (elevenlabs.io)
If you rely on Eleven’s text normalization instead of LLM spelling things out, use apply_text_normalization. Note: for Flash v2.5 “on” may be Enterprise‑only; “auto” is the default. The safest cross‑setup approach is still to have the LLM write things in words. (elevenlabs.io)

Voice and pacing controls (outside the prompt but often needed)

Adjust Speed (0.7–1.2) to fine‑tune speaking rate for your use case; extreme values can reduce quality. (help.elevenlabs.io)
Pick a voice trained in your target language/accent to improve natural intonation and pronunciation. (help.elevenlabs.io)
Prefer Flash for real‑time dialog; v3 is higher‑latency and not recommended for live conversational use. (help.elevenlabs.io)

Example LLM system prompt snippet you can adapt

“Produce plain text for TTS. Use natural punctuation. Spell out numbers, dates, symbols, and acronyms in words. Insert short SSML pauses like <break time="0.3s"/> at natural clause boundaries; keep pauses under 3 seconds. Do not mix languages in a single reply. When a pronunciation might be unclear, include an SSML phoneme tag.”

If you’re building in ElevenAgents, remember you can set the agent’s system prompt (style/demeanor) and choose an

prisma chasm Feb 26, 2026, 4:25 PM

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i am making the agent through UI so tell me what i can do through UI only do not suggest API

deep ospreyBOT Feb 26, 2026, 4:25 PM

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AI-generated Answer for m_adnan_

Below are UI-only changes you can make in ElevenLabs Agents to make conversations feel more natural when using Flash for TTS and an OpenAI model as the LLM.

System Prompt (Agent > Configuration): Use a voice-first prompt. In the UI’s System Prompt field, instruct the agent to keep replies short, ask clarifying questions when the user’s goal is unclear, avoid code and long lists, and format things as they would be spoken (e.g., say “team at elevenlabs dot i o”). This guidance is shown in ElevenLabs’ own agent example. (elevenlabs.io)
First Message: Set a concise, friendly opener that sets expectations (what the agent can help with). The UI lets you customize the First Message per agent. (help.elevenlabs.io)
LLM Selection: In the Agent UI, choose your LLM provider/model (e.g., OpenAI). ElevenLabs confirms you can select OpenAI models directly in the agent settings. (help.elevenlabs.io)
Voice and TTS Model:
- Choose a suitable voice (persona, accent). The Default voices are curated and optimized for core use cases and are available to all users. (help.elevenlabs.io)
- Use Flash for real‑time, low‑latency speech; v2.5 supports 32 languages and is designed for conversational use. (help.elevenlabs.io)
- Adjust Speed in the voice settings (0.7–1.2) to tune pacing for natural delivery; this control is available in ElevenAgents’ voice settings UI. (help.elevenlabs.io)
Language setup: ElevenAgents supports the languages covered by Flash v2.5/Turbo v2.5. Define the language(s) you intend the agent to use in the configuration; ElevenLabs notes that for their own support agent, languages are chosen at the start of the conversation. Link your choice of voice to the target language/accent for best pronunciation. (help.elevenlabs.io)
Knowledge Base and RAG: In the Agent UI, attach documentation/URLs and enable RAG to ground answers. Non‑enterprise users can add up to 20 MB total, and RAG cannot be enabled for documents smaller than 500 bytes. This improves accuracy and keeps answers succinct. (help.elevenlabs.io)
Tools (no code required to configure in UI): Add System Tools (e.g., end/transfer call, switch language) and Client/Webhook tools to let the agent take actions (redirect to docs, open email, trigger simple site flows). Actionable tools reduce overly verbose answers and feel more natural. Configure these under Tools in the agent UI. (help.elevenlabs.io)
Turn‑taking and interruptions: ElevenAgents includes built‑in interruption handling and turn‑taking so conversations feel less “monologue‑y.” No extra UI toggle is required; it’s part of the platform behavior. (help.elevenlabs.io)
Test and iterate in the UI:
- Use Call History to review transcripts and see errors that affect flow. (help.elevenlabs.io)
- Use the built‑in evaluation workflow shown in ElevenLabs’

prisma chasm Feb 27, 2026, 7:47 PM

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What the reason LLM override happen's

deep ospreyBOT Feb 27, 2026, 7:47 PM

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AI-generated Answer for m_adnan_

Short answer: An LLM “override” happens in ElevenLabs Agents when something other than the agent’s default LLM is used to generate a response. The main documented reasons are:

A per-conversation override was passed. If “Overrides” are enabled in the agent’s Security settings, your client code can set conversation_config_override.agent.prompt.llm to a specific model, which replaces the agent’s default LLM for that session. If you try this without enabling Overrides, the platform throws an error.
Automatic fallback via LLM Cascading. If the preferred LLM fails (API error, timeout, empty response), the platform transparently falls back to backup LLMs. This can look like an “override” even though it’s an availability fallback. Note: when using a Custom LLM, cascading to hosted models is bypassed; the system retries your custom model only.
The platform’s default LLM changed and your agent was using “default” rather than an explicitly chosen model. ElevenLabs periodically updates the default (e.g., switched to Gemini 2.0 Flash on March 17, 2025), which affects agents that rely on the default selection.

If you meant a specific error or behavior you’re seeing, share a call ID or the exact error from Call History so we can pinpoint which of the above applied.

prisma chasm Feb 27, 2026, 8:29 PM

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Their are many overrides how can each one be help ??

deep ospreyBOT Feb 27, 2026, 8:29 PM

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AI-generated Answer for m_adnan_

Here’s what each Override is for and when it helps (ElevenAgents):

Agent behavior

System prompt: Fully replace the agent’s instructions for this conversation (e.g., inject user/account context). Helpful when you must change behavior per user/session. (elevenlabs.io)
First message: Replace the initial greeting/opening. Useful for personalized welcomes or scenario-specific intros. (elevenlabs.io)
Language: Force the response language per conversation (e.g., “es” for Spanish). Handy for per-user localization. Also available via widget attributes. (elevenlabs.io)
LLM (model): Select a different underlying model for this conversation. Use when you need a specific model’s capabilities/cost profile; model IDs are referenced in the Agent API. You can also pass model-specific params via custom_llm_extra_body (e.g., temperature, max_tokens). (elevenlabs.io)
Text-only mode: Start/run the conversation without audio. Useful for chat-only experiences or when voice isn’t desired. (elevenlabs.io)

Voice (TTS) output

Voice ID: Pick a different voice per user/session (personalization, A/B testing, multi-brand). Also overridable via widget. (elevenlabs.io)
Stability: Controls consistency vs. variability in delivery; higher = more stable/neutral, lower = more expressive but less predictable. Use to tune expressiveness. (elevenlabs.io)
Similarity boost: How closely the output should match the original/target voice. Increase for closer match; decrease for cleaner/generic delivery. (elevenlabs.io)
Speed: Playback pace (about 0.7–1.2; 1.0 default). Slow for clarity/education; faster for briefings. (elevenlabs.io)

How to use and important notes

Overrides are disabled by default for security. Enable specific fields in your agent’s Security tab; sending an override for a field that isn’t enabled will raise an error. (elevenlabs.io)
A common failure message is “Override is not allowed for this AI agent” if you try to override without enabling it. Check Call History for exact errors. (help.elevenlabs.io)
You can pass overrides from code at conversation start (conversation_config_override) or via widget HTML attributes (override-language, override-prompt, override-first-message, override-voice-id). (elevenlabs.io)
Prefer Dynamic Variables when you only need to inject runtime values (names, balances, etc.); use Overrides when you must fully replace messages/settings. (elevenlabs.io)

Docs:

Overrides (fields, enabling, SDK examples) (elevenlabs.io)
Widget overrides (HTML attributes) (elevenlabs.io)
Personalization (overrides vs dynamic variables; LLM extra body) (elevenlabs.io)

prisma chasm Feb 27, 2026, 8:43 PM

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Tell me bit more about first message i have a specific subagent for Greeting and have kept first message empty would in my subagent i have different scenario how to say the first message based on user First response with this help but many time the prompt logic is not followed prompts are getting repeating or totally ignored

deep ospreyBOT Feb 27, 2026, 8:43 PM

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AI-generated Answer for m_adnan_

Short answer based on ElevenLabs docs:

What “First message” does
- It’s the sentence an agent speaks when a conversation starts. If you want a greeting to play only after a handoff to another agent, use agent transfer and enable “Enable First Message” for the target agent. (elevenlabs.io)
Varying the greeting based on the user’s first utterance
- Since the First message is emitted at conversation start, a common pattern is: use an intake/orchestrator agent to classify the user’s opening turn, then transfer to a specialized agent and toggle “Enable First Message” so that agent plays the appropriate greeting. This lets the greeting depend on what the user said first. (Design the routing with Workflows or transfer rules.) (elevenlabs.io)
Personalizing the greeting without creating many agents
- Use Dynamic Variables inside the First message (for example, “Hi {{user_name}} …”) and pass values at runtime; or override the First message per session via SDK/Widget overrides (be sure overrides are enabled in the agent’s Security tab). (elevenlabs.io)
Why overrides “don’t stick,” repeat, or seem ignored
- Overrides must be explicitly enabled in the agent’s Security settings; otherwise attempts to override (prompt, first message, LLM, etc.) are rejected. In Call History you may see “Override is not allowed for this AI agent.” (elevenlabs.io)
- If you use both dashboard settings and runtime overrides, note that SDK/Widget overrides take priority over UI configuration. Ensure you’re not unintentionally sending a runtime override that replaces your dashboard prompt/first message. (elevenlabs.io)
- If you transfer between agents and have “Enable First Message” turned on for the destination more than once in a flow, each transfer will cause that agent’s First message to play again. (Inference from the transfer setting’s documented behavior.) (elevenlabs.io)
How to implement quickly
- React SDK example (per-session): set firstMessage and/or prompt in overrides. Remember to enable the corresponding override(s) in Security. (elevenlabs.io)
- Widget example (HTML): pass override-first-message="…", override-prompt="…", override

prisma chasm Feb 28, 2026, 8:08 AM

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This conversation failed with the following reason:

Failed to generate a response

deep ospreyBOT Feb 28, 2026, 8:08 AM

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AI-generated Answer for m_adnan_

Short answer: “Failed to generate a response” is not a documented, specific error string in the ElevenLabs help center. Use Call History to see the exact red error message and diagnosis for the failed conversation, then act based on that message. If no message appears, contact Support.

What to check (based on documented common causes):

Call History: Every

prisma chasm Feb 28, 2026, 10:20 AM

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why does model introduces huuh,, i hear you, i understand , aaahhh, acknowledged these speeches when i explicitly say no to we need to control this behaviour and fix this issue tell how can i make this awkward phrasses stop

deep ospreyBOT Feb 28, 2026, 10:20 AM

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AI-generated Answer for m_adnan_

Short answer: those “uh‑huh / I hear you / I understand / aaahhh” interjections usually come from two places in ElevenAgents: the Soft timeout filler feature and your prompt/style configuration. Disable Soft timeout and tell the model not to use affirmations or disfluencies.

How to stop them

Turn off Soft timeout: In your agent’s Advanced settings, disable Soft timeout (set Timeout duration to -1). If you keep Soft timeout, make sure “LLM‑generated message” is off so it doesn’t synthesize fillers like “Hmm…”, “I see…”, “Understood…”, “Got it…”. (elevenlabs.io)
Tighten your system prompt: Explicitly forbid affirmations and filler words. Example: “Do not use acknowledgments (e.g., ‘I understand’, ‘I hear you’), backchannels or non‑lexical sounds (e.g., ‘uh‑huh’, ‘hmm’, ‘aaahhh’). Answer directly, 1–2 concise sentences, no preambles.” The prompting guide emphasizes concision and making tone rules explicit. (elevenlabs.io)
If you’re using Expressive mode (Eleven v3 Conversational), it supports expressive tags like [sighs]/[laughs]. If those sound like “aaahhh”, either instruct the agent in the system prompt not to use non‑verbal tags or switch to a non‑Expressive TTS model (e.g., Turbo/Flash) for a flatter delivery. (elevenlabs.io)
Reduce “talking over” behavior: If you’re hearing interjections mid‑speech, set Turn eagerness to Normal/Patient and consider disabling Interruptions so the agent doesn’t chime in while the user is speaking. (elevenlabs.io)
Enforce at runtime: Use Overrides to pin the exact system prompt (and, if needed, a different LLM or TTS settings) per conversation so changes reliably take effect across sub‑agents/flows. (elevenlabs.io)

Why this works

Soft timeout is designed to speak a short filler if the LLM response is slow; disabling it removes “thinking” phrases entirely. (elevenlabs.io)
The model follows style instructions in your system prompt; being explicit about “no acknowledgments/fillers” is the supported way to suppress them. (elevenlabs.io)
Expressive mode can introduce non‑verbal cues; switching models or forbidding tags eliminates those artifacts. (elevenlabs.io)

If you apply the above and still hear fillers, share a conversation ID and which settings you changed; we can verify Soft timeout, Interruptions/Turn eagerness,

prisma chasm Mar 3, 2026, 11:26 AM

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what the prompting guide V3 conversational model

deep ospreyBOT Mar 3, 2026, 11:26 AM

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AI-generated Answer for m_adnan_

Here’s where ElevenLabs documents how to prompt the V3 Conversational TTS model and what to follow:

Primary guides to use
- Agents Prompting Guide (how to structure the system prompt for conversational behavior, tone, and guardrails). (elevenlabs.io)
- Expressive Mode with V3 Conversational (how V3 Conversational behaves in real time, how to steer emotion/tone via the system prompt, and how expressive tags like [laughs]/[whispers] are interpreted; tag effects last ~4–5 words). (elevenlabs.io)
- Eleven V3 Prompting Best Practices (audio tags, punctuation/pauses, and other V3-specific prompting techniques; note that V3 does not support SSML break tags—use audio tags and punctuation instead). (elevenlabs.io)
Model selection and enabling
- In Agents, select the “V3 Conversational” TTS model (model id eleven_v3_conversational); this enables Expressive Mode by default. (elevenlabs.io)
Helpful configuration
- You can provide suggested_audio_tags in the agent’s TTS config (e.g., “happy”, “excited”) to guide expressive delivery with V3 models. (elevenlabs.io)

If you need links to specific sections (e.g., example system prompts or tag lists), I can pull them from the pages above.

olive cliff Mar 11, 2026, 2:27 PM

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Is there any plan to support turbo with TTS v3?

#I am using Flash model and i want to the agent to slow down or take pauses while saying address and