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zesdex/src/dto/chat/message.rs
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//! Chat message types shared across the DTO layer: `Role` and `ChatMessage`
//! with convenience constructors.
use serde::{Deserialize, Serialize};
/// The conversation participant who authored a message.
#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)]
pub enum Role {
#[serde(rename = "user")]
User,
#[serde(rename = "assistant")]
Assistant,
#[serde(rename = "system")]
System,
#[serde(rename = "tool")]
Tool,
}
impl Role {
}
/// A single message in a conversation, compatible with the OpenAI/Anthropic
/// chat-completion API structures.
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ChatMessage {
pub role: Role,
pub content: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub tool_calls: Option<Vec<super::tool::ToolCall>>,
#[serde(skip_serializing_if = "Option::is_none")]
pub tool_call_id: Option<String>,
#[serde(skip_serializing_if = "Option::is_none")]
pub name: Option<String>,
}
impl ChatMessage {
/// Build a user-role message with the given text content.
pub fn user(content: impl Into<String>) -> Self {
ChatMessage {
role: Role::User,
content: Some(content.into()),
tool_calls: None,
tool_call_id: None,
name: None,
}
}
/// Build an assistant-role message with an optional text response.
pub fn assistant(content: Option<String>) -> Self {
ChatMessage {
role: Role::Assistant,
content,
tool_calls: None,
tool_call_id: None,
name: None,
}
}
/// Build a system-role message with the given instruction text.
pub fn system(content: impl Into<String>) -> Self {
ChatMessage {
role: Role::System,
content: Some(content.into()),
tool_calls: None,
tool_call_id: None,
name: None,
}
}
/// Build a tool-role result message referencing a prior tool call.
pub fn tool_result(tool_call_id: String, content: String) -> Self {
ChatMessage {
role: Role::Tool,
content: Some(content),
tool_calls: None,
tool_call_id: Some(tool_call_id),
name: None,
}
}
}