openai_struct/models/
response_properties.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#[allow(unused_imports)]
12use serde_json::Value;
13
14#[derive(Debug, Serialize, Deserialize)]
15pub struct ResponseProperties {
16    /// Inserts a system (or developer) message as the first item in the model's context.  When using along with `previous_response_id`, the instructions from a previous response will not be carried over to the next response. This makes it simple to swap out system (or developer) messages in new responses.
17    #[serde(rename = "instructions")]
18    pub instructions: Option<String>,
19    /// An upper bound for the number of tokens that can be generated for a response, including visible output tokens and [reasoning tokens](/docs/guides/reasoning).
20    #[serde(rename = "max_output_tokens")]
21    pub max_output_tokens: Option<i32>,
22    /// Model ID used to generate the response, like `gpt-4o` or `o3`. OpenAI offers a wide range of models with different capabilities, performance characteristics, and price points. Refer to the [model guide](/docs/models) to browse and compare available models.
23    #[serde(rename = "model")]
24    pub model: Option<crate::models::ModelIdsResponses>,
25    /// The unique ID of the previous response to the model. Use this to create multi-turn conversations. Learn more about  [conversation state](/docs/guides/conversation-state).
26    #[serde(rename = "previous_response_id")]
27    pub previous_response_id: Option<String>,
28    #[serde(rename = "reasoning")]
29    pub reasoning: Option<crate::models::Reasoning>,
30    #[serde(rename = "text")]
31    pub text: Option<crate::models::ResponsePropertiesText>,
32    /// How the model should select which tool (or tools) to use when generating a response. See the `tools` parameter to see how to specify which tools the model can call.
33    #[serde(rename = "tool_choice")]
34    pub tool_choice: Option<Value>,
35    /// An array of tools the model may call while generating a response. You  can specify which tool to use by setting the `tool_choice` parameter.  The two categories of tools you can provide the model are:  - **Built-in tools**: Tools that are provided by OpenAI that extend the   model's capabilities, like [web search](/docs/guides/tools-web-search)   or [file search](/docs/guides/tools-file-search). Learn more about   [built-in tools](/docs/guides/tools). - **Function calls (custom tools)**: Functions that are defined by you,   enabling the model to call your own code. Learn more about   [function calling](/docs/guides/function-calling).
36    #[serde(rename = "tools")]
37    pub tools: Option<Vec<crate::models::Tool>>,
38    /// The truncation strategy to use for the model response. - `auto`: If the context of this response and previous ones exceeds   the model's context window size, the model will truncate the    response to fit the context window by dropping input items in the   middle of the conversation.  - `disabled` (default): If a model response will exceed the context window    size for a model, the request will fail with a 400 error.
39    #[serde(rename = "truncation")]
40    pub truncation: Option<String>,
41}
openai_struct/models/response_properties.rs

openai_struct/models/
response_properties.rs
