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/*
* Mistral AI API
*
* Our Chat Completion and Embeddings APIs specification. Create your account on [La Plateforme](https://console.mistral.ai) to get access and read the [docs](https://docs.mistral.ai) to learn how to use it.
*
* The version of the OpenAPI document: 1.0.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::models;
use serde::{Deserialize, Serialize};
/// Prediction : Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content.
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct Prediction {
#[serde(rename = "type", skip_serializing_if = "Option::is_none")]
pub r#type: Option<Type>,
#[serde(rename = "content", skip_serializing_if = "Option::is_none")]
pub content: Option<String>,
}
impl Prediction {
/// Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content.
pub fn new() -> Prediction {
Prediction {
r#type: None,
content: None,
}
}
}
///
#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
pub enum Type {
#[serde(rename = "content")]
Content,
}
impl Default for Type {
fn default() -> Type {
Self::Content
}
}