rho-coding-agent 0.15.2

A lightweight agent harness inspired by Pi
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use serde::{Deserialize, Serialize};

#[derive(Serialize)]
pub(crate) struct ChatRequest {
    pub(crate) model: String,
    pub(crate) messages: Vec<OpenAiMessage>,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) tools: Option<Vec<OpenAiTool>>,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) tool_choice: Option<&'static str>,
    pub(crate) stream: bool,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) stream_options: Option<ChatStreamOptions>,
}

#[derive(Serialize)]
pub(crate) struct ChatStreamOptions {
    pub(crate) include_usage: bool,
}

#[derive(Serialize, Deserialize)]
pub(crate) struct OpenAiMessage {
    pub(crate) role: String,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) content: Option<serde_json::Value>,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) tool_calls: Option<Vec<OpenAiToolCall>>,
    #[serde(skip_serializing_if = "Option::is_none")]
    pub(crate) tool_call_id: Option<String>,
}

#[derive(Serialize, Deserialize)]
pub(crate) struct OpenAiToolCall {
    pub(crate) id: String,
    #[serde(rename = "type")]
    pub(crate) kind: String,
    pub(crate) function: OpenAiFunctionCall,
}

#[derive(Serialize, Deserialize)]
pub(crate) struct OpenAiFunctionCall {
    pub(crate) name: String,
    pub(crate) arguments: String,
}

#[derive(Serialize)]
pub(crate) struct OpenAiTool {
    #[serde(rename = "type")]
    pub(crate) kind: &'static str,
    pub(crate) function: OpenAiToolFunction,
}

#[derive(Serialize)]
pub(crate) struct OpenAiToolFunction {
    pub(crate) name: String,
    pub(crate) description: String,
    pub(crate) parameters: serde_json::Value,
    pub(crate) strict: bool,
}

#[derive(Deserialize)]
pub(crate) struct ChatResponse {
    pub(crate) choices: Vec<Choice>,
}

#[derive(Deserialize)]
pub(crate) struct Choice {
    pub(crate) message: ChatResponseMessage,
}

#[derive(Deserialize)]
pub(crate) struct ChatResponseMessage {
    pub(crate) content: Option<String>,
    pub(crate) tool_calls: Option<Vec<OpenAiToolCall>>,
}