openai/models/create_edit_request.rs
1/*
2 * OpenAI API
3 *
4 * APIs for sampling from and fine-tuning language models
5 *
6 * The version of the OpenAPI document: 1.2.0
7 *
8 * Generated by: https://openapi-generator.tech
9 */
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14#[derive(Clone, Debug, PartialEq, Default, Serialize, Deserialize)]
15pub struct CreateEditRequest {
16 /// ID of the model to use. You can use the `text-davinci-edit-001` or `code-davinci-edit-001` model with this endpoint.
17 #[serde(rename = "model")]
18 pub model: String,
19 /// The input text to use as a starting point for the edit.
20 #[serde(rename = "input", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
21 pub input: Option<Option<String>>,
22 /// The instruction that tells the model how to edit the prompt.
23 #[serde(rename = "instruction")]
24 pub instruction: String,
25 /// How many edits to generate for the input and instruction.
26 #[serde(rename = "n", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
27 pub n: Option<Option<i32>>,
28 /// What sampling temperature to use, between 0 and 2. Higher values like 0.8 will make the output more random, while lower values like 0.2 will make it more focused and deterministic. We generally recommend altering this or `top_p` but not both.
29 #[serde(rename = "temperature", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
30 pub temperature: Option<Option<f32>>,
31 /// An alternative to sampling with temperature, called nucleus sampling, where the model considers the results of the tokens with top_p probability mass. So 0.1 means only the tokens comprising the top 10% probability mass are considered. We generally recommend altering this or `temperature` but not both.
32 #[serde(rename = "top_p", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
33 pub top_p: Option<Option<f32>>,
34}
35
36impl CreateEditRequest {
37 pub fn new(model: String, instruction: String) -> CreateEditRequest {
38 CreateEditRequest {
39 model,
40 input: None,
41 instruction,
42 n: None,
43 temperature: None,
44 top_p: None,
45 }
46 }
47}
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