mistral_openapi_client/models/
prediction.rs

1/*
2 * Mistral AI API
3 *
4 * 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.
5 *
6 * The version of the OpenAPI document: 1.0.0
7 * 
8 * Generated by: https://openapi-generator.tech
9 */
10
11use crate::models;
12use serde::{Deserialize, Serialize};
13
14/// Prediction : Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content.
15#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
16pub struct Prediction {
17    #[serde(rename = "type", skip_serializing_if = "Option::is_none")]
18    pub r#type: Option<Type>,
19    #[serde(rename = "content", skip_serializing_if = "Option::is_none")]
20    pub content: Option<String>,
21}
22
23impl Prediction {
24    /// Enable users to specify an expected completion, optimizing response times by leveraging known or predictable content.
25    pub fn new() -> Prediction {
26        Prediction {
27            r#type: None,
28            content: None,
29        }
30    }
31}
32/// 
33#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
34pub enum Type {
35    #[serde(rename = "content")]
36    Content,
37}
38
39impl Default for Type {
40    fn default() -> Type {
41        Self::Content
42    }
43}
44
mistral_openapi_client/models/prediction.rs

mistral_openapi_client/models/
prediction.rs
