Struct WorkflowOpenAiModel

pub struct WorkflowOpenAiModel {
    pub provider: ProviderTrue,
    pub model: ModelTrue,
    pub temperature: Option<f64>,
    pub max_tokens: Option<f64>,
}

Fields

provider: ProviderTrue

This is the provider of the model (openai).

model: ModelTrue

This is the OpenAI model that will be used. When using Vapi OpenAI or your own Azure Credentials, you have the option to specify the region for the selected model. This shouldn’t be specified unless you have a specific reason to do so. Vapi will automatically find the fastest region that make sense. This is helpful when you are required to comply with Data Residency rules. Learn more about Azure regions here https://azure.microsoft.com/en-us/explore/global-infrastructure/data-residency/.

temperature: Option<f64>

This is the temperature of the model.

max_tokens: Option<f64>

This is the max tokens of the model.

Implementations

impl WorkflowOpenAiModel

pub fn new(provider: ProviderTrue, model: ModelTrue) -> WorkflowOpenAiModel

Trait Implementations

impl Clone for WorkflowOpenAiModel

fn clone(&self) -> WorkflowOpenAiModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for WorkflowOpenAiModel

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

Formats the value using the given formatter.

impl Default for WorkflowOpenAiModel

fn default() -> WorkflowOpenAiModel

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for WorkflowOpenAiModel

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for WorkflowOpenAiModel

fn eq(&self, other: &WorkflowOpenAiModel) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for WorkflowOpenAiModel

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

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for WorkflowOpenAiModel