using deepgram.stt there is one option of enable_diarization but then how to prompt llm to reply based on diarization (will llm have context of input speaker) can you give me an example

Thanks for reaching out, Ayush. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.

how min_interruption_duration, endpointing_ms, min_endpointing_delay and what do we exactly mean by false interruption, say agent was speaking,take 2 cases user started speaking at t=0 and speak for 0.5 second now if endpointing_ms = 200ms and min_endpointing_delay is 300ms with min_interruption_duration = 1s now will this be marked as false interruption? in case 2 user spoke for 0.8s stopped for some time say 200ms but then again started speaking now will that be counted as false interruption since min_endpointing_delay is not completed but endpointing_ms was completed

Thanks — I’m responding to your question about how

min_interruption_duration

,

min_endpointing_delay

(and the non-existent

endpointing_ms

in LiveKit Agents) interact, and whether your two example user speech patterns would be considered a false interruption. Short summary •

endpointing_ms

is not a LiveKit Agents parameter. Endpointing behavior is controlled by

min_endpointing_delay

(and related VAD settings). • A "false interruption" only happens when speech is long enough to trigger an interruption but results in no transcribed words; then the system emits an

agent_false_interruption

event and can resume the agent. • If a user’s utterance is shorter than

min_interruption_duration

, it won’t qualify as an interruption at all — so it won’t be counted as a false interruption. Definitions (brief) • min_interruption_duration (seconds): minimum speech duration required to count as a valid interruption. • min_endpointing_delay (seconds): minimum time to wait after detected end-of-speech before finalizing the turn (affects endpointing responsiveness). • False interruption: interruption that halted agent speech but yields no transcribed words; triggers

agent_false_interruption

and (if enabled) agent resumes after the false-interruption timeout. Now let’s apply those facts to your two cases. Case setup you gave • Agent speaking. • Settings you provided (interpreting your values as seconds where applicable): ◦ min_interruption_duration = 1.0 s ◦ min_endpointing_delay = 0.3 s ◦ endpointing_ms = 200 ms (note: not a LiveKit Agents parameter; treated below) Case 1: user speaks for 0.5 s starting at t = 0 • 0.5 s < min_interruption_duration (1.0 s), so this speech is below the threshold to be considered a valid interruption. • Outcome: The system will not register a valid interruption (it won’t stop the agent). This is NOT a false interruption — it simply didn’t meet the interruption-duration threshold. Case 2: user speaks 0.8 s, pauses 200 ms, then speaks again • Each continuous speech segment is evaluated against

min_interruption_duration

. • First segment: 0.8 s < 1.0 s, so by itself it does not meet the interruption-duration threshold. • The 200 ms pause is shorter than your

min_endpointing_delay

(0.3 s). Endpointing uses

min_endpointing_delay

to decide whether silence marks an end-of-speech for user input; because the pause is shorter than that, the VAD likely treats this as a continuation rather than a finalized endpoint. • The resumed speech will be combined with the prior partial segment for ongoing VAD detection; if the combined continuous speech reaches >= 1.0 s, then an interruption could be triggered at that point. • Outcome possibilities: ◦ If the total contiguous speech (counting the short pause as continuation) reaches >= 1.0 s before the agent is stopped, it can trigger an interruption. ◦ If no contiguous period ever reaches 1.0 s, no valid interruption occurs — therefore not a false interruption. ◦ A false interruption only occurs if speech did meet the interruption threshold (≥

min_interruption_duration

), the agent was halted, and the STT produced no words. Clarifying the role of your listed timings •

min_interruption_duration

is the gatekeeper for whether a detected vocalization becomes an interruption at all. •

min_endpointing_delay

controls how long silence must persist before finalizing an end-of-turn; short silences below that delay are usually treated as continuing speech. •

endpointing_ms

is not used in LiveKit Agents — don’t rely on it for behavior here. Concrete answer to your questions • With your numbers, Case 1 (0.5s) is not a false interruption — it’s below the

min_interruption_duration

threshold and will not interrupt the agent. • In Case 2, because each continuous speech segment is under 1.0s but the 200ms pause is shorter than

min_endpointing_delay

, the system will likely treat the voice as one continuing utterance. If that combined utterance reaches ≥ 1.0s, it can trigger a real interruption. If it never reaches 1.0s, it will not trigger an interruption and therefore not be a false interruption. • A false interruption requires that an interruption actually happened (i.e., duration threshold met) and STT returned no words. If you want • I can show timeline examples with exact timings and when an interruption event would fire (visualized by timestamps). • I can suggest parameter tweaks to make the system more or less sensitive to short user interjections (e.g., raise

min_interruption_duration

to reduce accidental interruptions, or lower

min_endpointing_delay

to finalize short user pauses faster). Which follow-up would be most helpful — a timestamped timeline for Case 2 showing when VAD would trigger, or recommended settings based on the sensitivity you want? Sources: VAD and turn detection configuration guide | LiveKit | Improving voice AI&amp;#39;s turn detection with transformers | Turns overview | LiveKit Documentation