2cc766aabe
Port the sssf skill from ~/.agents/skills/sssf into this repo so it can be distributed and installed with the skills CLI (skills add INDigitalStudio/skills --skill sssf). - Copy the skill (SKILL.md, cookbooks, references, scripts, templates, and the visualizer app source) into sssf/. - Gitignore build/runtime artifacts: the visualizer's node_modules/ and dist/, Python bytecode, and the machine-specific repos.json. - Make the skill location-independent: install.py now stamps the skill's real path into the stamped justfile's skill_dir (replacing the hardcoded ~/.agents/skills/sssf), so 'just obs' finds the visualizer wherever the CLI installed the skill. - Update cookbooks to use <skill>/scripts/... instead of the hardcoded path, and document the skills CLI install command. - Update the repo README with install instructions.
593 lines
20 KiB
TypeScript
593 lines
20 KiB
TypeScript
/**
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* Subagent Widget — /sub, /subclear, /subrm, /subcont commands with stacking live widgets
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*
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* Each /sub spawns a background Pi subagent with its own persistent session,
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* enabling conversation continuations via /subcont.
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*
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* Usage: pi -e extensions/subagent-widget.ts
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* Then:
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* /sub list files and summarize — spawn using the parent model/thinking
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* /sub --model openai/gpt-5 --thinking high review this code
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* /subcont 1 --thinking xhigh now write tests for it
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* /subrm 2 — remove subagent #2 widget
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* /subclear — clear all subagent widgets
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*/
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import { StringEnum, type ThinkingLevel } from "@mariozechner/pi-ai";
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import type { ExtensionAPI } from "@mariozechner/pi-coding-agent";
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import { DynamicBorder } from "@mariozechner/pi-coding-agent";
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import { Container, Text } from "@mariozechner/pi-tui";
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import { Type } from "@sinclair/typebox";
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const { spawn } = require("child_process") as any;
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import * as fs from "fs";
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import * as os from "os";
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import * as path from "path";
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import { applyExtensionDefaults } from "./themeMap.ts";
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const FALLBACK_MODEL = "openrouter/google/gemini-3.5-flash";
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const THINKING_OVERRIDES = ["low", "medium", "high", "xhigh"] as const;
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type ThinkingOverride = (typeof THINKING_OVERRIDES)[number];
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interface SpawnOptions {
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model?: string;
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thinking?: ThinkingOverride;
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}
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interface SubState {
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id: number;
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status: "running" | "done" | "error";
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task: string;
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textChunks: string[];
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toolCount: number;
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elapsed: number;
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sessionFile: string; // persistent JSONL session path — used by /subcont to resume
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turnCount: number; // increments each time /subcont continues this agent
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model: string;
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thinking: ThinkingLevel;
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proc?: any; // active ChildProcess ref (for kill on /subrm)
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}
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interface ParsedCommand {
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options: SpawnOptions;
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rest: string;
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error?: string;
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}
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function readCommandValue(input: string): { value?: string; rest: string } {
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const trimmed = input.trimStart();
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if (!trimmed) return { rest: "" };
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const quote = trimmed[0];
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if (quote === '"' || quote === "'") {
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const end = trimmed.indexOf(quote, 1);
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if (end === -1) return { rest: trimmed };
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return { value: trimmed.slice(1, end), rest: trimmed.slice(end + 1) };
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}
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const end = trimmed.search(/\s/);
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return end === -1
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? { value: trimmed, rest: "" }
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: { value: trimmed.slice(0, end), rest: trimmed.slice(end) };
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}
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function parseCommandOptions(input: string): ParsedCommand {
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const options: SpawnOptions = {};
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let rest = input.trimStart();
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while (rest.startsWith("--")) {
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const flagMatch = rest.match(/^--(model|thinking)(?:=([^\s]+))?(?:\s+|$)/);
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if (!flagMatch) {
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const flag = rest.match(/^\S+/)?.[0] || rest;
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return { options, rest: "", error: `Unknown or malformed option: ${flag}` };
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}
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const flag = flagMatch[1];
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let value = flagMatch[2];
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rest = rest.slice(flagMatch[0].length);
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if (!value) {
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const parsed = readCommandValue(rest);
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value = parsed.value;
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rest = parsed.rest;
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}
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if (!value) return { options, rest: "", error: `Missing value for --${flag}` };
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if (flag === "model") {
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options.model = value;
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rest = rest.trimStart();
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continue;
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}
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const thinking = value.toLowerCase();
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if (!THINKING_OVERRIDES.includes(thinking as ThinkingOverride)) {
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return {
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options,
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rest: "",
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error: "Thinking must be one of: low, medium, high, xhigh",
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};
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}
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options.thinking = thinking as ThinkingOverride;
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rest = rest.trimStart();
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}
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return { options, rest: rest.trim() };
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}
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export default function (pi: ExtensionAPI) {
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const agents: Map<number, SubState> = new Map();
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let nextId = 1;
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let widgetCtx: any;
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// ── Session file helpers ──────────────────────────────────────────────────
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function makeSessionFile(id: number): string {
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const dir = path.join(os.homedir(), ".pi", "agent", "sessions", "subagents");
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fs.mkdirSync(dir, { recursive: true });
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return path.join(dir, `subagent-${id}-${Date.now()}.jsonl`);
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}
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// ── Widget rendering ──────────────────────────────────────────────────────
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function updateWidgets() {
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if (!widgetCtx) return;
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for (const [id, state] of Array.from(agents.entries())) {
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const key = `sub-${id}`;
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widgetCtx.ui.setWidget(key, (_tui: any, theme: any) => {
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const container = new Container();
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const borderFn = (s: string) => theme.fg("dim", s);
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container.addChild(new Text("", 0, 0)); // top margin
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container.addChild(new DynamicBorder(borderFn));
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const content = new Text("", 1, 0);
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container.addChild(content);
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container.addChild(new DynamicBorder(borderFn));
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return {
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render(width: number): string[] {
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const lines: string[] = [];
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const statusColor = state.status === "running" ? "accent"
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: state.status === "done" ? "success" : "error";
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const statusIcon = state.status === "running" ? "●"
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: state.status === "done" ? "✓" : "✗";
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const taskPreview = state.task.length > 40
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? state.task.slice(0, 37) + "..."
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: state.task;
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const turnLabel = state.turnCount > 1
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? theme.fg("dim", ` · Turn ${state.turnCount}`)
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: "";
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lines.push(
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theme.fg(statusColor, `${statusIcon} Subagent #${state.id}`) +
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turnLabel +
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theme.fg("dim", ` ${taskPreview}`) +
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theme.fg("dim", ` (${Math.round(state.elapsed / 1000)}s)`) +
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theme.fg("dim", ` | Tools: ${state.toolCount}`)
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);
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const fullText = state.textChunks.join("");
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const lastLine = fullText.split("\n").filter((l: string) => l.trim()).pop() || "";
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if (lastLine) {
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const trimmed = lastLine.length > width - 10
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? lastLine.slice(0, width - 13) + "..."
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: lastLine;
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lines.push(theme.fg("muted", ` ${trimmed}`));
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}
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content.setText(lines.join("\n"));
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return container.render(width);
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},
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invalidate() {
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container.invalidate();
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},
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};
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});
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}
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}
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// ── Streaming helpers ─────────────────────────────────────────────────────
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function processLine(state: SubState, line: string) {
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if (!line.trim()) return;
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try {
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const event = JSON.parse(line);
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const type = event.type;
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if (type === "message_update") {
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const delta = event.assistantMessageEvent;
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if (delta?.type === "text_delta") {
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state.textChunks.push(delta.delta || "");
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updateWidgets();
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}
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} else if (type === "tool_execution_start") {
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state.toolCount++;
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updateWidgets();
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}
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} catch {}
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}
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function spawnAgent(
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state: SubState,
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prompt: string,
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ctx: any,
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options: SpawnOptions = {},
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): Promise<void> {
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const parentProvider = ctx.model?.provider?.trim();
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const parentModelId = ctx.model?.id?.trim();
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const hasParentModel = parentProvider && parentModelId
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&& parentProvider !== "unknown" && parentModelId !== "unknown";
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const parentModel = hasParentModel
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? `${parentProvider}/${parentModelId}`
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: FALLBACK_MODEL;
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const model = options.model?.trim() || parentModel;
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const thinking = options.thinking || pi.getThinkingLevel();
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state.model = model;
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state.thinking = thinking;
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return new Promise<void>((resolve) => {
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const proc = spawn("pi", [
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"--mode", "json",
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"-p",
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"--session", state.sessionFile, // persistent session for /subcont resumption
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"--no-extensions",
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"--model", model,
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"--tools", "read,bash,grep,find,ls",
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"--thinking", thinking,
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prompt,
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], {
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stdio: ["ignore", "pipe", "pipe"],
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env: { ...process.env },
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});
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state.proc = proc;
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const startTime = Date.now();
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const timer = setInterval(() => {
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state.elapsed = Date.now() - startTime;
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updateWidgets();
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}, 1000);
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let buffer = "";
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proc.stdout!.setEncoding("utf-8");
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proc.stdout!.on("data", (chunk: string) => {
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buffer += chunk;
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const lines = buffer.split("\n");
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buffer = lines.pop() || "";
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for (const line of lines) processLine(state, line);
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});
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proc.stderr!.setEncoding("utf-8");
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proc.stderr!.on("data", (chunk: string) => {
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if (chunk.trim()) {
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state.textChunks.push(chunk);
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updateWidgets();
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}
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});
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proc.on("close", (code) => {
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if (buffer.trim()) processLine(state, buffer);
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clearInterval(timer);
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state.elapsed = Date.now() - startTime;
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state.status = code === 0 ? "done" : "error";
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state.proc = undefined;
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updateWidgets();
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const result = state.textChunks.join("");
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ctx.ui.notify(
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`Subagent #${state.id} ${state.status} in ${Math.round(state.elapsed / 1000)}s`,
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state.status === "done" ? "success" : "error"
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);
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pi.sendMessage({
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customType: "subagent-result",
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content: `Subagent #${state.id}${state.turnCount > 1 ? ` (Turn ${state.turnCount})` : ""} finished "${prompt}" in ${Math.round(state.elapsed / 1000)}s.\n\nResult:\n${result.slice(0, 8000)}${result.length > 8000 ? "\n\n... [truncated]" : ""}`,
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display: true,
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}, { deliverAs: "followUp", triggerTurn: true });
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resolve();
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});
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proc.on("error", (err) => {
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clearInterval(timer);
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state.status = "error";
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state.proc = undefined;
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state.textChunks.push(`Error: ${err.message}`);
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updateWidgets();
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resolve();
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});
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});
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}
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// ── Tools for the Main Agent ──────────────────────────────────────────────
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pi.registerTool({
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name: "subagent_create",
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description: "Spawn a background subagent. Thinking level is required and is the primary way to match the subagent to task complexity: low for lightweight/simple tasks, medium for routine tasks needing moderate reasoning, high for complex multi-step work, and xhigh for the hardest tasks or when accuracy and performance are critical. Unless the user explicitly requests a specific model, omit model and use the default inherited parent model. Returns immediately and delivers results as a follow-up message.",
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parameters: Type.Object({
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task: Type.String({ description: "The complete task description for the subagent to perform" }),
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model: Type.Optional(Type.String({
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description: "Leave blank or omit unless the user explicitly requests a specific model. Do not choose a different model autonomously. When explicitly requested, provide the override in provider/model form. The default reuses the parent caller's current model and falls back to openrouter/google/gemini-3.5-flash only if the parent has no model.",
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})),
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thinking: StringEnum([...THINKING_OVERRIDES], {
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description: "Required thinking level. Use low for lightweight/simple tasks; medium for routine tasks needing moderate reasoning; high for complex, multi-step, or ambiguous work; and xhigh for the hardest tasks or when accuracy and performance are critical. Pi may clamp the value to the selected model's supported maximum.",
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}),
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}),
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execute: async (callId, args, _signal, _onUpdate, ctx) => {
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widgetCtx = ctx;
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const id = nextId++;
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const state: SubState = {
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id,
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status: "running",
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task: args.task,
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textChunks: [],
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toolCount: 0,
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elapsed: 0,
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sessionFile: makeSessionFile(id),
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turnCount: 1,
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model: "",
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thinking: pi.getThinkingLevel(),
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};
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agents.set(id, state);
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updateWidgets();
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// Fire-and-forget
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spawnAgent(state, args.task, ctx, { model: args.model, thinking: args.thinking });
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return {
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content: [{ type: "text", text: `Subagent #${id} spawned with ${state.model} (${state.thinking} thinking) and is running in background.` }],
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};
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},
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});
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pi.registerTool({
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name: "subagent_continue",
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description: "Continue an existing subagent conversation. Thinking level is required and is the primary way to match this turn to task complexity: low for lightweight/simple tasks, medium for routine tasks needing moderate reasoning, high for complex multi-step work, and xhigh for the hardest tasks or when accuracy and performance are critical. Unless the user explicitly requests a specific model, omit model and use the default inherited parent model. Returns immediately while it runs in the background.",
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parameters: Type.Object({
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id: Type.Number({ description: "The ID of the subagent to continue" }),
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prompt: Type.String({ description: "The follow-up prompt or new instructions" }),
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model: Type.Optional(Type.String({
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description: "Leave blank or omit unless the user explicitly requests a specific model. Do not choose a different model autonomously. When explicitly requested, provide the override in provider/model form for this turn. The default reuses the parent caller's current model.",
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})),
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thinking: StringEnum([...THINKING_OVERRIDES], {
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description: "Required thinking level for this turn. Use low for lightweight/simple tasks; medium for routine tasks needing moderate reasoning; high for complex, multi-step, or ambiguous work; and xhigh for the hardest tasks or when accuracy and performance are critical. Pi may clamp the value to the selected model's supported maximum.",
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}),
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}),
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execute: async (callId, args, _signal, _onUpdate, ctx) => {
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widgetCtx = ctx;
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const state = agents.get(args.id);
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if (!state) {
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return { content: [{ type: "text", text: `Error: No subagent #${args.id} found.` }] };
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}
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if (state.status === "running") {
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return { content: [{ type: "text", text: `Error: Subagent #${args.id} is still running.` }] };
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}
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state.status = "running";
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state.task = args.prompt;
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state.textChunks = [];
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state.elapsed = 0;
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state.turnCount++;
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updateWidgets();
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ctx.ui.notify(`Continuing Subagent #${args.id} (Turn ${state.turnCount})…`, "info");
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spawnAgent(state, args.prompt, ctx, { model: args.model, thinking: args.thinking });
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return {
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content: [{ type: "text", text: `Subagent #${args.id} continuing with ${state.model} (${state.thinking} thinking) in background.` }],
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};
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},
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});
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pi.registerTool({
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name: "subagent_remove",
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description: "Remove a specific subagent. Kills it if it's currently running.",
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parameters: Type.Object({
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id: Type.Number({ description: "The ID of the subagent to remove" }),
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}),
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execute: async (callId, args, _signal, _onUpdate, ctx) => {
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widgetCtx = ctx;
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const state = agents.get(args.id);
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if (!state) {
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return { content: [{ type: "text", text: `Error: No subagent #${args.id} found.` }] };
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}
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if (state.proc && state.status === "running") {
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state.proc.kill("SIGTERM");
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}
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ctx.ui.setWidget(`sub-${args.id}`, undefined);
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agents.delete(args.id);
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return {
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content: [{ type: "text", text: `Subagent #${args.id} removed successfully.` }],
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};
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},
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});
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pi.registerTool({
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name: "subagent_list",
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description: "List all active and finished subagents, showing their IDs, tasks, and status.",
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parameters: Type.Object({}),
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execute: async () => {
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if (agents.size === 0) {
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return { content: [{ type: "text", text: "No active subagents." }] };
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}
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const list = Array.from(agents.values()).map(s =>
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`#${s.id} [${s.status.toUpperCase()}] (Turn ${s.turnCount}, ${s.model}, ${s.thinking}) - ${s.task}`
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).join("\n");
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return {
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content: [{ type: "text", text: `Subagents:\n${list}` }],
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};
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},
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});
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// ── /sub [--model <model>] [--thinking <level>] <task> ────────────────────
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pi.registerCommand("sub", {
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description: "Spawn a subagent: /sub [--model provider/model] [--thinking low|medium|high|xhigh] <task>",
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handler: async (args, ctx) => {
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widgetCtx = ctx;
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const parsed = parseCommandOptions(args || "");
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if (parsed.error) {
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ctx.ui.notify(parsed.error, "error");
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return;
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}
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const task = parsed.rest;
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if (!task) {
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ctx.ui.notify("Usage: /sub [--model provider/model] [--thinking low|medium|high|xhigh] <task>", "error");
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return;
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}
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const id = nextId++;
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const state: SubState = {
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id,
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status: "running",
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task,
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textChunks: [],
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toolCount: 0,
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elapsed: 0,
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sessionFile: makeSessionFile(id),
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turnCount: 1,
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model: "",
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thinking: pi.getThinkingLevel(),
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};
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agents.set(id, state);
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updateWidgets();
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// Fire-and-forget
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spawnAgent(state, task, ctx, parsed.options);
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ctx.ui.notify(`Subagent #${id}: ${state.model} (${state.thinking} thinking)`, "info");
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},
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});
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// ── /subcont <id> [--model <model>] [--thinking <level>] <prompt> ─────────
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pi.registerCommand("subcont", {
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description: "Continue a subagent: /subcont <id> [--model provider/model] [--thinking low|medium|high|xhigh] <prompt>",
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handler: async (args, ctx) => {
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widgetCtx = ctx;
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const trimmed = args?.trim() ?? "";
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const idMatch = trimmed.match(/^(\d+)(?:\s+|$)/);
|
|
if (!idMatch) {
|
|
ctx.ui.notify("Usage: /subcont <id> [--model provider/model] [--thinking low|medium|high|xhigh] <prompt>", "error");
|
|
return;
|
|
}
|
|
|
|
const num = parseInt(idMatch[1], 10);
|
|
const parsed = parseCommandOptions(trimmed.slice(idMatch[0].length));
|
|
if (parsed.error) {
|
|
ctx.ui.notify(parsed.error, "error");
|
|
return;
|
|
}
|
|
const prompt = parsed.rest;
|
|
|
|
if (!prompt) {
|
|
ctx.ui.notify("Usage: /subcont <id> [--model provider/model] [--thinking low|medium|high|xhigh] <prompt>", "error");
|
|
return;
|
|
}
|
|
|
|
const state = agents.get(num);
|
|
if (!state) {
|
|
ctx.ui.notify(`No subagent #${num} found. Use /sub to create one.`, "error");
|
|
return;
|
|
}
|
|
|
|
if (state.status === "running") {
|
|
ctx.ui.notify(`Subagent #${num} is still running — wait for it to finish first.`, "warning");
|
|
return;
|
|
}
|
|
|
|
// Resume: update state for a new turn
|
|
state.status = "running";
|
|
state.task = prompt;
|
|
state.textChunks = [];
|
|
state.elapsed = 0;
|
|
state.turnCount++;
|
|
updateWidgets();
|
|
|
|
ctx.ui.notify(`Continuing Subagent #${num} (Turn ${state.turnCount})…`, "info");
|
|
|
|
// Fire-and-forget — reuses the same sessionFile for conversation history
|
|
spawnAgent(state, prompt, ctx, parsed.options);
|
|
ctx.ui.notify(`Subagent #${num}: ${state.model} (${state.thinking} thinking)`, "info");
|
|
},
|
|
});
|
|
|
|
// ── /subrm <number> ───────────────────────────────────────────────────────
|
|
|
|
pi.registerCommand("subrm", {
|
|
description: "Remove a specific subagent widget: /subrm <number>",
|
|
handler: async (args, ctx) => {
|
|
widgetCtx = ctx;
|
|
|
|
const num = parseInt(args?.trim() ?? "", 10);
|
|
if (isNaN(num)) {
|
|
ctx.ui.notify("Usage: /subrm <number>", "error");
|
|
return;
|
|
}
|
|
|
|
const state = agents.get(num);
|
|
if (!state) {
|
|
ctx.ui.notify(`No subagent #${num} found.`, "error");
|
|
return;
|
|
}
|
|
|
|
// Kill the process if still running
|
|
if (state.proc && state.status === "running") {
|
|
state.proc.kill("SIGTERM");
|
|
ctx.ui.notify(`Subagent #${num} killed and removed.`, "warning");
|
|
} else {
|
|
ctx.ui.notify(`Subagent #${num} removed.`, "info");
|
|
}
|
|
|
|
ctx.ui.setWidget(`sub-${num}`, undefined);
|
|
agents.delete(num);
|
|
},
|
|
});
|
|
|
|
// ── /subclear ─────────────────────────────────────────────────────────────
|
|
|
|
pi.registerCommand("subclear", {
|
|
description: "Clear all subagent widgets",
|
|
handler: async (_args, ctx) => {
|
|
widgetCtx = ctx;
|
|
|
|
let killed = 0;
|
|
for (const [id, state] of Array.from(agents.entries())) {
|
|
if (state.proc && state.status === "running") {
|
|
state.proc.kill("SIGTERM");
|
|
killed++;
|
|
}
|
|
ctx.ui.setWidget(`sub-${id}`, undefined);
|
|
}
|
|
|
|
const total = agents.size;
|
|
agents.clear();
|
|
nextId = 1;
|
|
|
|
const msg = total === 0
|
|
? "No subagents to clear."
|
|
: `Cleared ${total} subagent${total !== 1 ? "s" : ""}${killed > 0 ? ` (${killed} killed)` : ""}.`;
|
|
ctx.ui.notify(msg, total === 0 ? "info" : "success");
|
|
},
|
|
});
|
|
|
|
// ── Session lifecycle ─────────────────────────────────────────────────────
|
|
|
|
pi.on("session_start", async (_event, ctx) => {
|
|
applyExtensionDefaults(import.meta.url, ctx);
|
|
for (const [id, state] of Array.from(agents.entries())) {
|
|
if (state.proc && state.status === "running") {
|
|
state.proc.kill("SIGTERM");
|
|
}
|
|
ctx.ui.setWidget(`sub-${id}`, undefined);
|
|
}
|
|
agents.clear();
|
|
nextId = 1;
|
|
widgetCtx = ctx;
|
|
});
|
|
}
|