gproxy-protocol 1.0.20

Wire-format types and cross-protocol transforms for Claude, OpenAI, and Gemini LLM APIs.
Documentation
use std::collections::BTreeMap;

use serde::{Deserialize, Serialize};

use crate::openai::count_tokens::types::{
    HttpMethod, ResponseConversation, ResponseInput, ResponseReasoning, ResponseTextConfig,
    ResponseTool, ResponseToolChoice, ResponseTruncation,
};

/// Request descriptor for OpenAI `responses.input_tokens.count` endpoint.
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize)]
pub struct OpenAiCountTokensRequest {
    /// HTTP method.
    pub method: HttpMethod,
    /// Path parameters.
    pub path: PathParameters,
    /// Query parameters.
    pub query: QueryParameters,
    /// Request headers.
    pub headers: RequestHeaders,
    /// Request body.
    pub body: RequestBody,
}

impl Default for OpenAiCountTokensRequest {
    fn default() -> Self {
        Self {
            method: HttpMethod::Post,
            path: PathParameters::default(),
            query: QueryParameters::default(),
            headers: RequestHeaders::default(),
            body: RequestBody::default(),
        }
    }
}

/// `responses.input_tokens.count` does not define path params.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, Default)]
pub struct PathParameters {}

/// `responses.input_tokens.count` does not define query params.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, Default)]
pub struct QueryParameters {}

/// Proxy-side request model does not carry auth headers.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize, Default)]
pub struct RequestHeaders {
    #[serde(flatten, default, skip_serializing_if = "BTreeMap::is_empty")]
    pub extra: BTreeMap<String, String>,
}

/// Request body for `POST /responses/input_tokens`.
#[derive(Debug, Clone, PartialEq, Serialize, Deserialize, Default)]
pub struct RequestBody {
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub conversation: Option<ResponseConversation>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub input: Option<ResponseInput>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub instructions: Option<String>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub model: Option<String>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub parallel_tool_calls: Option<bool>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub previous_response_id: Option<String>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub reasoning: Option<ResponseReasoning>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub text: Option<ResponseTextConfig>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub tool_choice: Option<ResponseToolChoice>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub tools: Option<Vec<ResponseTool>>,
    #[serde(default, skip_serializing_if = "Option::is_none")]
    pub truncation: Option<ResponseTruncation>,
}