mistral-openapi-client 0.1.0

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.
Documentation
/*
 * 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};

#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct GuardrailConfig {
    /// If true, return HTTP 403 and block request in the event of a server-side error
    #[serde(rename = "block_on_error", skip_serializing_if = "Option::is_none")]
    pub block_on_error: Option<bool>,
    #[serde(rename = "moderation_llm_v1", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
    pub moderation_llm_v1: Option<Option<Box<models::ModerationLlmv1Config>>>,
    #[serde(rename = "moderation_llm_v2", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
    pub moderation_llm_v2: Option<Option<Box<models::ModerationLlmv2Config>>>,
}

impl GuardrailConfig {
    pub fn new() -> GuardrailConfig {
        GuardrailConfig {
            block_on_error: None,
            moderation_llm_v1: None,
            moderation_llm_v2: None,
        }
    }
}