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mistral_openapi_client/models/
embedding_response.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#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
15pub struct EmbeddingResponse {
16    #[serde(rename = "id", skip_serializing_if = "Option::is_none")]
17    pub id: Option<String>,
18    #[serde(rename = "object", skip_serializing_if = "Option::is_none")]
19    pub object: Option<String>,
20    #[serde(rename = "model", skip_serializing_if = "Option::is_none")]
21    pub model: Option<String>,
22    #[serde(rename = "usage", skip_serializing_if = "Option::is_none")]
23    pub usage: Option<Box<models::UsageInfo>>,
24    #[serde(rename = "data")]
25    pub data: Vec<models::EmbeddingResponseData>,
26}
27
28impl EmbeddingResponse {
29    pub fn new(data: Vec<models::EmbeddingResponseData>) -> EmbeddingResponse {
30        EmbeddingResponse {
31            id: None,
32            object: None,
33            model: None,
34            usage: None,
35            data,
36        }
37    }
38}
39