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/*
* OpenAI API
*
* The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details.
*
* The version of the OpenAPI document: 2.3.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::models;
use serde::{Deserialize, Serialize};
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize, bon::Builder)]
pub struct RunGraderRequest {
#[serde(rename = "grader")]
pub grader: Box<models::FineTuneReinforcementMethodGrader>,
/// The dataset item provided to the grader. This will be used to populate the `item` namespace. See [the guide](/docs/guides/graders) for more details.
#[serde(rename = "item", skip_serializing_if = "Option::is_none")]
pub item: Option<serde_json::Value>,
/// The model sample to be evaluated. This value will be used to populate the `sample` namespace. See [the guide](/docs/guides/graders) for more details. The `output_json` variable will be populated if the model sample is a valid JSON string.
#[serde(rename = "model_sample")]
pub model_sample: String,
}
impl RunGraderRequest {
pub fn new(
grader: models::FineTuneReinforcementMethodGrader,
model_sample: String,
) -> RunGraderRequest {
RunGraderRequest {
grader: Box::new(grader),
item: None,
model_sample,
}
}
}
impl std::fmt::Display for RunGraderRequest {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match serde_json::to_string(self) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
}
}
}