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/*
* OpenAI API
*
* The OpenAI REST API. Please see https://platform.openai.com/docs/api-reference for more details.
*
* The version of the OpenAPI document: 2.3.0
*
* Generated by: https://openapi-generator.tech
*/
use crate::models;
use serde::{Deserialize, Serialize};
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize, bon::Builder)]
pub struct ModifyAssistantRequest {
/// ID of the model to use. You can use the [List models](/docs/api-reference/models/list) API to see all of your available models, or see our [Model overview](/docs/models) for descriptions of them.
#[serde(rename = "model", skip_serializing_if = "Option::is_none")]
pub model: Option<String>,
#[serde(
rename = "reasoning_effort",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub reasoning_effort: Option<Option<models::ReasoningEffort>>,
/// The name of the assistant. The maximum length is 256 characters.
#[serde(
rename = "name",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub name: Option<Option<String>>,
/// The description of the assistant. The maximum length is 512 characters.
#[serde(
rename = "description",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub description: Option<Option<String>>,
/// The system instructions that the assistant uses. The maximum length is 256,000 characters.
#[serde(
rename = "instructions",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub instructions: Option<Option<String>>,
/// A list of tool enabled on the assistant. There can be a maximum of 128 tools per assistant. Tools can be of types `code_interpreter`, `file_search`, or `function`.
#[serde(rename = "tools", skip_serializing_if = "Option::is_none")]
pub tools: Option<Vec<models::AssistantObjectToolsInner>>,
#[serde(
rename = "tool_resources",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub tool_resources: Option<Option<Box<models::Object011>>>,
/// Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. Keys are strings with a maximum length of 64 characters. Values are strings with a maximum length of 512 characters.
#[serde(
rename = "metadata",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub metadata: Option<Option<std::collections::HashMap<String, String>>>,
/// 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.
#[serde(
rename = "temperature",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub temperature: Option<Option<f64>>,
/// 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.
#[serde(
rename = "top_p",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub top_p: Option<Option<f64>>,
#[serde(
rename = "response_format",
default,
with = "::serde_with::rust::double_option",
skip_serializing_if = "Option::is_none"
)]
pub response_format: Option<Option<Box<models::AssistantsApiResponseFormatOption>>>,
}
impl ModifyAssistantRequest {
pub fn new() -> ModifyAssistantRequest {
ModifyAssistantRequest {
model: None,
reasoning_effort: None,
name: None,
description: None,
instructions: None,
tools: None,
tool_resources: None,
metadata: None,
temperature: None,
top_p: None,
response_format: None,
}
}
}
impl std::fmt::Display for ModifyAssistantRequest {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
match serde_json::to_string(self) {
Ok(s) => write!(f, "{}", s),
Err(_) => Err(std::fmt::Error),
}
}
}