pub struct CreateModelRequest {
pub model_name: String,
pub match_pattern: String,
pub start_date: Option<Option<String>>,
pub unit: Option<ModelUsageUnit>,
pub input_price: Option<Option<f64>>,
pub output_price: Option<Option<f64>>,
pub total_price: Option<Option<f64>>,
pub pricing_tiers: Option<Option<Vec<PricingTierInput>>>,
pub tokenizer_id: Option<Option<String>>,
pub tokenizer_config: Option<Option<Value>>,
}Fields§
§model_name: StringName 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
match_pattern: StringRegex 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$
start_date: Option<Option<String>>Apply only to generations which are newer than this ISO date.
unit: Option<ModelUsageUnit>§input_price: Option<Option<f64>>Deprecated. Use ‘pricingTiers’ instead. Price (USD) per input unit. Creates a default tier if pricingTiers not provided.
output_price: Option<Option<f64>>Deprecated. Use ‘pricingTiers’ instead. Price (USD) per output unit. Creates a default tier if pricingTiers not provided.
total_price: Option<Option<f64>>Deprecated. Use ‘pricingTiers’ instead. Price (USD) per total units. Cannot be set if input or output price is set. Creates a default tier if pricingTiers not provided.
pricing_tiers: Option<Option<Vec<PricingTierInput>>>Optional. Array of pricing tiers for this model. Use pricing tiers for all models - both those with threshold-based pricing variations and those with simple flat pricing: - For models with standard flat pricing: Create a single default tier with your prices (e.g., one tier with isDefault=true, priority=0, conditions=[], and your standard prices) - For models with threshold-based pricing: Create a default tier plus additional conditional tiers (e.g., default tier for standard usage + high-volume tier for usage above certain thresholds) Requirements: - Cannot be provided with flat prices (inputPrice/outputPrice/totalPrice) - use one approach or the other - Must include exactly one default tier with isDefault=true, priority=0, and conditions=[] - All tier names and priorities must be unique within the model - Each tier must define at least one price If omitted, you must provide flat prices instead (inputPrice/outputPrice/totalPrice), which will automatically create a single default tier named "Standard".
tokenizer_id: Option<Option<String>>Optional. Tokenizer to be applied to observations which match to this model. See docs for more details.
tokenizer_config: Option<Option<Value>>Optional. Configuration for the selected tokenizer. Needs to be JSON. See docs for more details.
Implementations§
Source§impl CreateModelRequest
impl CreateModelRequest
Sourcepub fn builder() -> CreateModelRequestBuilder
pub fn builder() -> CreateModelRequestBuilder
Create an instance of CreateModelRequest using the builder syntax
Source§impl CreateModelRequest
impl CreateModelRequest
pub fn new(model_name: String, match_pattern: String) -> CreateModelRequest
Trait Implementations§
Source§impl Clone for CreateModelRequest
impl Clone for CreateModelRequest
Source§fn clone(&self) -> CreateModelRequest
fn clone(&self) -> CreateModelRequest
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source. Read more