openai_struct/models/
eval_run_output_item_sample.rs

1/*
2 * OpenAI API
3 *
4 * The OpenAI REST API. Please see pub https://platform.openai.com/docs/api-reference for more details.
5 *
6 * OpenAPI spec pub version: 2.3.0
7 *
8 * Generated pub by: https://github.com/swagger-api/swagger-codegen.git
9 */
10
11/// pub EvalRunOutputItemSample : A sample containing the input and output of the evaluation run.
12
13#[allow(unused_imports)]
14use serde_json::Value;
15
16#[derive(Debug, Serialize, Deserialize)]
17pub struct EvalRunOutputItemSample {
18    #[serde(rename = "error")]
19    pub error: crate::models::EvalApiError,
20    /// The reason why the sample generation was finished.
21    #[serde(rename = "finish_reason")]
22    pub finish_reason: String,
23    /// An array of input messages.
24    #[serde(rename = "input")]
25    pub input: Vec<crate::models::EvalRunOutputItemSampleInput>,
26    /// The maximum number of tokens allowed for completion.
27    #[serde(rename = "max_completion_tokens")]
28    pub max_completion_tokens: i32,
29    /// The model used for generating the sample.
30    #[serde(rename = "model")]
31    pub model: String,
32    /// An array of output messages.
33    #[serde(rename = "output")]
34    pub output: Vec<crate::models::EvalRunOutputItemSampleOutput>,
35    /// The seed used for generating the sample.
36    #[serde(rename = "seed")]
37    pub seed: i32,
38    /// The sampling temperature used.
39    #[serde(rename = "temperature")]
40    pub temperature: f32,
41    /// The top_p value used for sampling.
42    #[serde(rename = "top_p")]
43    pub top_p: f32,
44    #[serde(rename = "usage")]
45    pub usage: crate::models::EvalRunOutputItemSampleUsage,
46}