Struct CreateModelRequestBuilder 

pub struct CreateModelRequestBuilder<S: State = Empty> { /* private fields */ }

Use builder syntax to set the inputs and finish with build().

Implementations

impl<S: State> CreateModelRequestBuilder<S>

pub fn build(self) -> CreateModelRequest

where S: IsComplete,

Finish building and return the requested object

pub fn model_name( self, value: String, ) -> CreateModelRequestBuilder<SetModelName<S>>

where S::ModelName: IsUnset,

Required.

Name of the model definition. If multiple with the same name exist, they are applied in the following order: (1) custom over built-in, (2) newest according to startTime where model.startTime<observation.startTime

pub fn match_pattern( self, value: String, ) -> CreateModelRequestBuilder<SetMatchPattern<S>>

where S::MatchPattern: IsUnset,

Required.

Regex pattern which matches this model definition to generation.model. Useful in case of fine-tuned models. If you want to exact match, use (?i)^modelname$

pub fn start_date( self, value: Option<String>, ) -> CreateModelRequestBuilder<SetStartDate<S>>

where S::StartDate: IsUnset,

Optional (Some / Option setters).

Apply only to generations which are newer than this ISO date.

pub fn maybe_start_date( self, value: Option<Option<String>>, ) -> CreateModelRequestBuilder<SetStartDate<S>>

where S::StartDate: IsUnset,

Optional (Some / Option setters).

Apply only to generations which are newer than this ISO date.

pub fn unit( self, value: ModelUsageUnit, ) -> CreateModelRequestBuilder<SetUnit<S>>

where S::Unit: IsUnset,

Optional (Some / Option setters).

pub fn maybe_unit( self, value: Option<ModelUsageUnit>, ) -> CreateModelRequestBuilder<SetUnit<S>>

where S::Unit: IsUnset,

Optional (Some / Option setters).

pub fn input_price( self, value: Option<f64>, ) -> CreateModelRequestBuilder<SetInputPrice<S>>

where S::InputPrice: IsUnset,

Optional (Some / Option setters).

Price (USD) per input unit

pub fn maybe_input_price( self, value: Option<Option<f64>>, ) -> CreateModelRequestBuilder<SetInputPrice<S>>

where S::InputPrice: IsUnset,

Optional (Some / Option setters).

Price (USD) per input unit

pub fn output_price( self, value: Option<f64>, ) -> CreateModelRequestBuilder<SetOutputPrice<S>>

where S::OutputPrice: IsUnset,

Optional (Some / Option setters).

Price (USD) per output unit

pub fn maybe_output_price( self, value: Option<Option<f64>>, ) -> CreateModelRequestBuilder<SetOutputPrice<S>>

where S::OutputPrice: IsUnset,

Optional (Some / Option setters).

Price (USD) per output unit

pub fn total_price( self, value: Option<f64>, ) -> CreateModelRequestBuilder<SetTotalPrice<S>>

where S::TotalPrice: IsUnset,

Optional (Some / Option setters).

Price (USD) per total units. Cannot be set if input or output price is set.

pub fn maybe_total_price( self, value: Option<Option<f64>>, ) -> CreateModelRequestBuilder<SetTotalPrice<S>>

where S::TotalPrice: IsUnset,

Optional (Some / Option setters).

Price (USD) per total units. Cannot be set if input or output price is set.

pub fn tokenizer_id( self, value: Option<String>, ) -> CreateModelRequestBuilder<SetTokenizerId<S>>

where S::TokenizerId: IsUnset,

Optional (Some / Option setters).

Optional. Tokenizer to be applied to observations which match to this model. See docs for more details.

pub fn maybe_tokenizer_id( self, value: Option<Option<String>>, ) -> CreateModelRequestBuilder<SetTokenizerId<S>>

where S::TokenizerId: IsUnset,

Optional (Some / Option setters).

Optional. Tokenizer to be applied to observations which match to this model. See docs for more details.

pub fn tokenizer_config( self, value: Option<Value>, ) -> CreateModelRequestBuilder<SetTokenizerConfig<S>>

where S::TokenizerConfig: IsUnset,

Optional (Some / Option setters).

Optional. Configuration for the selected tokenizer. Needs to be JSON. See docs for more details.

pub fn maybe_tokenizer_config( self, value: Option<Option<Value>>, ) -> CreateModelRequestBuilder<SetTokenizerConfig<S>>

where S::TokenizerConfig: IsUnset,

Optional (Some / Option setters).

Optional. Configuration for the selected tokenizer. Needs to be JSON. See docs for more details.