dathagerty.com
An AI agent built to do Ralph loops - plan mode for planning and ralph mode for implementing.
1use super::{ApiError, AppState};
2use crate::graph::{NodeStatus, NodeType};
3use axum::Json;
4use axum::extract::{Path, State};
5use serde::Serialize;
6
7#[derive(Serialize)]
8pub struct ActiveAgent {
9 pub agent_id: String,
10 pub task_id: String,
11 pub task_title: String,
12 pub task_status: NodeStatus,
13}
14
15/// GET /api/goals/:id/agents
16pub async fn list_agents(
17 State(state): State<AppState>,
18 Path(goal_id): Path<String>,
19) -> Result<Json<Vec<ActiveAgent>>, ApiError> {
20 let subtree = state.graph_store.get_subtree(&goal_id).await?;
21 let agents: Vec<ActiveAgent> = subtree
22 .into_iter()
23 .filter(|n| {
24 n.node_type == NodeType::Task
25 && n.status == NodeStatus::InProgress
26 && n.assigned_to.is_some()
27 })
28 .map(|n| ActiveAgent {
29 agent_id: n.assigned_to.clone().unwrap_or_default(),
30 task_id: n.id.clone(),
31 task_title: n.title.clone(),
32 task_status: n.status,
33 })
34 .collect();
35
36 Ok(Json(agents))
37}