pi-subagent-extension

extensionmaintained

Subagent delegation for pi: single, parallel, and chained runs in isolated pi processes, with a user-defined agent roster, model resolution, and slash commands.

by — · v1.2.0 · published 1d ago

$ pi install npm:pi-subagent-extension
downloads/mo
564
stars
0
last push
1d ago
open issues
0

Signals

license: MITtestspi manifest: missinginstall size: —deps: 0peer deps: 0

Download trend

No downloads in the last 12 weeks.

README

Subagent Extension (local)

Delegate tasks to specialized subagents with isolated context windows.

Current Fornace roster

The packaged default roster uses Mantice routing aliases by task difficulty:

AgentPurposeModelThinking
quickMechanical edits, extraction, formatting and simple checksmantice/fornace-flashlow
scoutFocused codebase reconnaissancemantice/fornace-fastlow
plannerPlans and difficult synthesismantice/fornace-reasoninghigh
researcherWeb and source synthesismantice/fornace-reasoninghigh
builderSubstantial implementation and integrationmantice/fornace-maxhigh
criticAdversarial review and ordinary debuggingmantice/fornace-maxhigh
operatorServer, deployment and operational workmantice/fornace-maxhigh
astra-debuggerExplicitly requested Astra workmantice/fornace-astramax

Load the fornace-model-routing skill before choosing a delegation route. It lives at the user level (~/.pi/agent/skills/, distributed by pi-setup) and is not packaged here: a packaged copy would collide with the user-level skill on every Fornace machine and drift stale. The standard routes are Flash, Fast, Reasoning and Max. Astra requires an explicit user request, including for hard debugging, mathematics and recovery. Vision, image and other media work uses its matching specialized route.

Model aliases are resolved against Pi's registered provider catalog. An absent or default model inherits the dispatching agent. An explicit unresolvable model fails before spawning; it never inherits silently. Spawn/status receipts report the requested routing alias. Provider response attribution, when available, is a separate runtime identity and routing aliases must not be described as fixed backends.

Features

  • Isolated context: Each subagent runs in a separate pi process
  • Streaming output: See tool calls and progress as they happen
  • Parallel streaming: All parallel tasks stream updates simultaneously
  • Markdown rendering: Final output rendered with proper formatting (expanded view)
  • Usage tracking: Shows turns, tokens, cost, and context usage per agent
  • Abort support: Batch cancellation stops its subprocesses; cancelling agent_wait cancels only observation and leaves the managed child running.

Managed RPC waits use Pi's agent_settled event, not process exit or the intermediate agent_end event. The tested runtime baseline is Pi 0.84.4; older runtimes are not supported by this lifecycle contract. A settled worker remains reusable for follow-ups. Prompt rejection is reported without replay.

Structure

subagent/
├── README.md            # This file
├── index.ts             # The extension (entry point)
├── agents.ts            # Agent discovery logic
├── agents/              # Sample agent definitions
│   ├── quick.md         # Mechanical work on fornace-flash
│   ├── scout.md         # Focused recon on fornace-fast
│   ├── planner.md       # Planning on fornace-reasoning
│   ├── builder.md       # Implementation on fornace-max
│   ├── critic.md        # Review on fornace-max
│   ├── operator.md      # Operations on fornace-max
│   ├── researcher.md    # Research on fornace-reasoning
│   └── astra-debugger.md # Explicitly requested Astra review
└── prompts/             # Workflow presets (prompt templates)
    ├── implement.md     # scout -> planner -> builder
    ├── scout-and-plan.md    # scout -> planner (no implementation)
    └── implement-and-review.md  # builder -> critic -> builder

Installation

Pi package

pi install npm:pi-subagent-extension
# or from git
pi install git:github.com/Fornace/pi-subagent-extension

Local (development)

Sync the repo into the extensions directory:

rsync -a --delete --exclude node_modules --exclude .git --exclude graphify-out \
  ./ ~/.pi/agent/extensions/subagent/
cd ~/.pi/agent/extensions/subagent && npm install

Security Model

This tool executes a separate pi subprocess with a delegated system prompt and tool/model configuration.

Project-local agents (.pi/agents/*.md) are repo-controlled prompts that can instruct the model to read files, run bash commands, etc.

Default behavior: Only loads user-level agents from ~/.pi/agent/agents.

To enable project-local agents, pass agentScope: "both" (or "project"). Only do this for repositories you trust.

When running interactively, the tool prompts for confirmation before running project-local agents. Set confirmProjectAgents: false to disable.

Usage

Single agent

Use `quick` for a small mechanical task
Use `builder` for substantial implementation
Use `astra-debugger` only when the user explicitly requests Astra
Use `builder` with model `mantice/fornace-astra` only for an explicit Astra implementation request

Parallel execution

Run 2 scouts in parallel: one to find models, one to find providers

Chained workflow

Use a chain: first have scout find the read tool, then have planner suggest improvements

Workflow prompts

/implement add Redis caching to the session store
/scout-and-plan refactor auth to support OAuth
/implement-and-review add input validation to API endpoints

Tool Modes

ModeParameterDescription
Single{ agent, task }One agent, one task
Parallel{ tasks: [...] }Multiple agents run concurrently (max 8, 4 concurrent)
Chain{ chain: [...] }Sequential with {previous} placeholder

Output Display

Collapsed view (default):

  • Status icon (✓/✗/⏳) and agent name
  • Last 5-10 items (tool calls and text)
  • Usage stats: 3 turns ↑input ↓output RcacheRead WcacheWrite $cost ctx:contextTokens model

Expanded view (Ctrl+O):

  • Full task text
  • All tool calls with formatted arguments
  • Final output rendered as Markdown
  • Per-task usage (for chain/parallel)

Parallel mode streaming:

  • Shows all tasks with live status (⏳ running, ✓ done, ✗ failed)
  • Updates as each task makes progress
  • Shows "2/3 done, 1 running" status
  • Returns each completed task's final output to the parent model, capped at 50 KB per task
  • Returns failure diagnostics from stderr/error messages when a child exits before producing output

Tool call formatting (mimics built-in tools):

  • $ command for bash
  • read ~/path:1-10 for read
  • grep /pattern/ in ~/path for grep
  • etc.

Agent Definitions

Agents are markdown files with YAML frontmatter:

---
name: my-agent
description: What this agent does
tools: read, grep, find, ls
model: mantice/fornace-fast
thinking: low
---

System prompt for the agent goes here.

Locations:

  • ~/.pi/agent/agents/*.md - User-level (always loaded)
  • .pi/agents/*.md - Project-level (only with agentScope: "project" or "both")

Project agents override user agents with the same name when agentScope: "both".

Sample Agents

AgentPurposeModelTools
quickMechanical workfornace-flashfocused local tools
scoutFocused codebase reconfornace-fastread/search
plannerImplementation plansfornace-reasoningread/search + planning artifacts
builderSubstantial implementationfornace-maxunrestricted/default tools
criticAdversarial reviewfornace-maxread-only review tools
operatorServer operationsfornace-maxshell/server tools
researcherSource and web synthesisfornace-reasoningweb + shell + read/write
astra-debuggerExplicitly requested Astra workfornace-astraread-only evidence review

Workflow Prompts

PromptFlow
/implement <query>scout → planner → builder
/scout-and-plan <query>scout → planner
/implement-and-review <query>builder → critic → builder

Error Handling

  • Exit code != 0: Tool returns error with stderr/output
  • stopReason "error": LLM error propagated with error message
  • stopReason "aborted": User abort (Ctrl+C) kills subprocess, throws error
  • Chain mode: Stops at first failing step, reports which step failed

Limitations

  • Output truncated to last 10 items in collapsed view (expand to see all)
  • Parallel model-visible output is capped at 50 KB per task; full results remain in tool details
  • Agents discovered fresh on each invocation (allows editing mid-session)
  • Parallel mode limited to 8 tasks, 4 concurrent