Enum RealtimeTurnDetection 

pub enum RealtimeTurnDetection {
    ServerVAD {
        create_response: Option<bool>,
        idle_timeout_ms: Option<u32>,
        interrupt_response: Option<bool>,
        prefix_padding_ms: u32,
        silence_duration_ms: u32,
        threshold: f32,
    },
    SemanticVAD {
        create_response: Option<bool>,
        eagerness: String,
        interrupt_response: Option<bool>,
    },
}

Available on crate feature realtime only.

Variants

ServerVAD

Server-side voice activity detection (VAD) which flips on when user speech is detected and off after a period of silence.

Fields

create_response: Option<bool>

Whether or not to automatically generate a response when a VAD stop event occurs.

idle_timeout_ms: Option<u32>

Optional timeout after which a model response will be triggered automatically. This is useful for situations in which a long pause from the user is unexpected, such as a phone call. The model will effectively prompt the user to continue the conversation based on the current context.

The timeout value will be applied after the last model response’s audio has finished playing, i.e. it’s set to the response.done time plus audio playback duration.

An input_audio_buffer.timeout_triggered event (plus events associated with the Response) will be emitted when the timeout is reached. Idle timeout is currently only supported for server_vad mode.

interrupt_response: Option<bool>

Whether or not to automatically interrupt any ongoing response with output to the default conversation (i.e. conversation of auto) when a VAD start event occurs.

prefix_padding_ms: u32

Used only for server_vad mode. Amount of audio to include before the VAD detected speech (in milliseconds). Defaults to 300ms.

silence_duration_ms: u32

Used only for server_vad mode. Duration of silence to detect speech stop (in milliseconds). Defaults to 500ms. With shorter values the model will respond more quickly, but may jump in on short pauses from the user.

threshold: f32

Used only for server_vad mode. Activation threshold for VAD (0.0 to 1.0), this defaults to 0.5. A higher threshold will require louder audio to activate the model, and thus might perform better in noisy environments.

SemanticVAD

Server-side semantic turn detection which uses a model to determine when the user has finished speaking.

Fields

create_response: Option<bool>

Whether or not to automatically generate a response when a VAD stop event occurs.

eagerness: String

Used only for semantic_vad mode. The eagerness of the model to respond. low will wait longer for the user to continue speaking, high will respond more quickly. auto is the default and is equivalent to medium. low, medium, and high have max timeouts of 8s, 4s, and 2s respectively.

interrupt_response: Option<bool>

Whether or not to automatically interrupt any ongoing response with output to the default conversation (i.e. conversation of auto) when a VAD start event occurs.

Trait Implementations

impl Clone for RealtimeTurnDetection

fn clone(&self) -> RealtimeTurnDetection

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for RealtimeTurnDetection

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for RealtimeTurnDetection

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl Serialize for RealtimeTurnDetection

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.