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Deepgram Flux only. These parameters return a 400 error on non-Flux models.
Flux uses a confidence-based system to decide when a speaker has finished their turn.
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eot_threshold
float
default:"0.7"
Confidence threshold (0.5–0.9) for triggering an EndOfTurn event. Higher values require more certainty the speaker is done — fewer false positives but slightly more latency. Lower values respond faster but may cut speakers off mid-thought.
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eager_eot_threshold
float
Confidence threshold (0.3–0.9) for triggering an early EagerEndOfTurn event. Not set by default — setting it enables eager mode. When fired, your agent can start generating a response speculatively. If the speaker resumes, a TurnResumed event cancels it. Must be ≤ eot_threshold. Lower values = earlier triggers, more false starts. Typical range: 0.3–0.5 for ~150–250 ms latency savings at the cost of ~50–70% more LLM calls.
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eot_timeout_ms
integer
default:"5000"
Maximum silence in ms (500–10000) before forcing EndOfTurn regardless of confidence. Resets when speech resumes. Increase for speakers who pause frequently; decrease for rapid-fire Q&A.

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Event Flow

Without eager mode (eot_threshold only): 
Speech → silence → confidence ≥ eot_threshold → EndOfTurn
Speech → silence → timeout (eot_timeout_ms) → EndOfTurn
With eager mode (eager_eot_threshold set): 
Speech → silence → confidence ≥ eager_eot_threshold → EagerEndOfTurn
  → speaker stays silent → confidence ≥ eot_threshold → EndOfTurn
  → speaker resumes → TurnResumed (cancel speculative work)

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Configuration Profiles

Default — balanced for general use: 
?eot_threshold=0.7&eot_timeout_ms=5000
Low-latency — fast response, more false starts: 
?eager_eot_threshold=0.4&eot_threshold=0.7&eot_timeout_ms=6000
High-reliability — fewer interruptions, more latency: 
?eot_threshold=0.85&eot_timeout_ms=8000