/*
 * OMF Embeddings
 *
 * No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator)
 *
 * The version of the OpenAPI document: 1.0.0
 *
 * Generated by: https://openapi-generator.tech
 */

use crate::embeddings;
use serde::{Deserialize, Serialize};

/// CreateEmbeddingRequestInput : Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. for counting tokens.
/// Input text to embed, encoded as a string or array of tokens. To embed multiple inputs in a single request, pass an array of strings or array of token arrays. The input must not exceed the max input tokens for the model (8192 tokens for `text-embedding-ada-002`), cannot be an empty string, and any array must be 2048 dimensions or less. for counting tokens.
#[derive(Clone, Debug, PartialEq, Serialize, Deserialize)]
#[serde(untagged)]
pub enum CreateEmbeddingRequestInput {
    /// The string that will be turned into an embedding.
    String(String),
    /// The array of integers that will be turned into an embedding.
    Array(Vec<i32>),
}

impl Default for CreateEmbeddingRequestInput {
    fn default() -> Self {
        Self::String(Default::default())
    }
}