The shipped subagent example could say a child was done while it was still working, lose the useful part of process failures, and return a normal-looking tool result when the delegated work had actually failed. Single and chain output could also exceed the normal tool limit. This also adds a dedicated regression suite covering progress state, cancellation, process failures, output limits, cwd-based agent selection, and persisted tool-result error state. After this change: - queued, running, completed, failed, and aborted work stay distinct throughout the run; - interrupting the parent run preserves partial child results, stops queued work from starting, and escalates when a child ignores SIGTERM; - signal exits, spawn failures, provider errors, stderr, and assistant output remain visible instead of collapsing to `(no output)`; - failed subagents become failed tool results, so the parent model can react instead of treating them as successful calls; - single and chain results stay within the normal 50 KB / 2,000-line limit; - project agents are selected and confirmed from each task's actual working directory rather than the dispatcher's directory. ## Further potential improvements These are useful follow-ups, but they are separate product and storage decisions rather than part of the failure-handling fixes in this PR. <details> <summary>Potential follow-ups</summary> ### Keep persisted transcripts bounded Subagent tool results persist the full child message history in `details`, which can make parent session files large and slow to reload. A follow-up could compact that history or spill it to disk. ### Define an aggregate parallel-output budget Parallel mode still gives every task its own 50 KB budget. A follow-up could keep every task represented while enforcing one overall tool-result limit. ### Report child usage to the calling session Per-child token and cost usage is visible in result cards but is not added to the calling session's totals. ### Isolate malformed agent definitions One malformed YAML agent can still break discovery for every valid agent in the same directory. ### Limit subagent recursion A nesting limit would prevent accidental process and paid-request multiplication when subagents can invoke the subagent tool again. * https://github.com/earendil-works/pi/issues/8195 ### Add a configurable timeout Unattended runs would benefit from a generous opt-in timeout for children that never complete. </details> ## Related issues ### Spawn failures lose their diagnostics This directly addresses the reported case where a nonexistent child working directory produces `(no output)` instead of the actual spawn error. The regression suite includes that same reproduction. * https://github.com/earendil-works/pi/issues/8129 ### Persisted child history can bloat sessions This PR intentionally keeps full child history in tool-result details, so session compaction or spill-to-disk remains follow-up work rather than something fixed here. * https://github.com/earendil-works/pi/issues/7452 |
||
|---|---|---|
| .. | ||
| docs | ||
| examples | ||
| install-lock | ||
| schemas | ||
| scripts | ||
| src | ||
| test | ||
| .gitignore | ||
| CHANGELOG.md | ||
| package.json | ||
| README.md | ||
| tsconfig.build.json | ||
| tsconfig.examples.json | ||
| vitest.config.ts | ||
New issues and PRs from new contributors are closed automatically. Maintainers review closed submissions daily. See CONTRIBUTING.md.
Pi
Pi is a minimal, extensible agent harness that you can make your own.
Adapt Pi to your workflows, not the other way around. Customize Pi with extensions, skills, prompt templates, and themes. Bundle them as Pi packages and share via npm or git.
Pi ships with powerful defaults but skips features like sub-agents and plan mode. Ask Pi to build what you want, or install a package that does it your way.
Use Pi interactively, automate it in print or JSON mode, control it over RPC, or build apps with the Pi TypeScript SDK. See OpenClaw for a real-world integration.
Getting started
Install the command-line interface:
curl -fsSL https://pi.dev/install.sh | sh
On Windows:
powershell -c "irm https://pi.dev/install.ps1 | iex"
The installer pins all dependencies and updates Pi with pi update. Alternatively, install directly with npm, which does not pin transitive dependencies:
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
Pi requires Node.js 22.19 or newer. The macOS, Linux, and Windows installers can install it if needed. Pi does not require dependency lifecycle scripts for a normal npm installation.
On macOS and Linux, Nix users can install the latest release with nix profile add github:earendil-works/pi/stable. See the quickstart for updating and pinning releases.
Start Pi in the directory where you want it to work:
cd /path/to/project
pi
For a built-in AI provider, run /login inside Pi to connect a subscription or API key. Then give Pi a task.
See the documentation for full setup and usage instructions.
Share your OSS coding agent sessions
If you use Pi for open source work, please share your coding agent sessions.
Public OSS session data helps improve models, prompts, tools, and evaluations using real development workflows.
For the full explanation, see this post on X.
To publish sessions, use badlogic/pi-share-hf using a Hugging Face account and the Hugging Face CLI.
- Demo video on how to publish Pi sessions
- Published Pi development sessions:
badlogicgames/pi-monoon Hugging Face.
Development
Clone the repository, install its dependencies, and run Pi from source:
git clone https://github.com/earendil-works/pi
cd pi
npm install --ignore-scripts
./pi-test.sh
pi-test.sh can be called from any directory and preserves the caller's working directory.
Before submitting changes, run:
npm run check
./test.sh
Read CONTRIBUTING.md before opening an issue or pull request. It defines the contribution gate, issue quality bar, and required checks. Read AGENTS.md for repository-specific implementation, testing, dependency, and release rules.
License
MIT