//! 🔄 OpenAI-Compatible Request/Response Types
//!
//! Shared types for OpenAI API compatibility across daemon and standalone proxy.
//! This ensures consistent behavior between both implementations.
//!
//! "One schema to rule them all!" - The Cheet 😺
use crate::proxy::{LlmMessage, LlmRole};
use serde::{Deserialize, Serialize};
/// OpenAI-compatible request format
#[derive(Debug, Deserialize)]
pub struct OpenAiRequest {
pub model: String,
pub messages: Vec<OpenAiMessage>,
pub temperature: Option<f32>,
#[serde(rename = "max_tokens")]
pub max_tokens: Option<usize>,
pub stream: Option<bool>,
/// Use 'user' field as scope ID for memory persistence
pub user: Option<String>,
}
#[derive(Debug, Deserialize)]
pub struct OpenAiMessage {
pub role: String,
pub content: String,
}
impl From<OpenAiMessage> for LlmMessage {
fn from(msg: OpenAiMessage) -> Self {
Self {
role: match msg.role.as_str() {
"system" => LlmRole::System,
"assistant" => LlmRole::Assistant,
_ => LlmRole::User,
},
content: msg.content,
}
}
}
/// OpenAI-compatible response format
#[derive(Debug, Serialize)]
pub struct OpenAiResponse {
pub id: String,
pub object: String,
pub created: u64,
pub model: String,
pub choices: Vec<OpenAiChoice>,
#[serde(skip_serializing_if = "Option::is_none")]
pub usage: Option<OpenAiUsage>,
}
/// OpenAI-compatible error response format
#[derive(Debug, Serialize)]
pub struct OpenAiErrorResponse {
pub error: OpenAiError,
}
#[derive(Debug, Serialize)]
pub struct OpenAiError {
pub message: String,
#[serde(rename = "type")]
pub error_type: String,
pub code: Option<String>,
}
#[derive(Debug, Serialize)]
pub struct OpenAiChoice {
pub index: usize,
pub message: OpenAiResponseMessage,
pub finish_reason: String,
}
#[derive(Debug, Serialize)]
pub struct OpenAiResponseMessage {
pub role: String,
pub content: String,
}
#[derive(Debug, Serialize)]
pub struct OpenAiUsage {
pub prompt_tokens: usize,
pub completion_tokens: usize,
pub total_tokens: usize,
}
