Struct LlmScoreMetricScore 

pub struct LlmScoreMetricScore {
    pub score: f64,
    pub feedback: String,
}

Available on crate feature experimental only.

The scoring output returned by LlmScoreMetric. Must also be used as the Extractor return type when passed into LlmScoreMetric.

Fields

score: f64

A score between 0.0 and 1.0 inclusive.

feedback: String

Feedback on a given input in relation to the required criteria to be met.

Trait Implementations

impl Clone for LlmScoreMetricScore

fn clone(&self) -> LlmScoreMetricScore

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for LlmScoreMetricScore

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for LlmScoreMetricScore

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl<M> Eval<LlmScoreMetricScore> for LlmScoreMetric<M>

where M: CompletionModel + 'static,

async fn eval(&self, input: String) -> EvalOutcome<LlmScoreMetricScore>

fn eval_batch( &self, input: Vec<String>, concurrency_limit: usize, ) -> impl Future<Output = Vec<EvalOutcome<Output>>> + Send

Send a bunch of inputs to be evaluated all in one call. You can set the concurrency limit to help alleviate issues with model provider API limits, as sending requests too quickly may result in throttling or temporary request refusal.

impl JsonSchema for LlmScoreMetricScore

fn schema_name() -> Cow<'static, str>

The name of the generated JSON Schema.

fn schema_id() -> Cow<'static, str>

Returns a string that uniquely identifies the schema produced by this type.

fn json_schema(generator: &mut SchemaGenerator) -> Schema

Generates a JSON Schema for this type.

fn inline_schema() -> bool

Whether JSON Schemas generated for this type should be included directly in parent schemas, rather than being re-used where possible using the $ref keyword.

impl Serialize for LlmScoreMetricScore

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

where __S: Serializer,

Serialize this value into the given Serde serializer.