When an image needs resizing, `resizeImageInProcess` builds a list of encodings: PNG first, then JPEG at decreasing qualities. It returned the first one under `maxBytes`. Since PNG was always first, it was used whenever it fit, even when it was many times larger than the JPEG. The doc comment says "Try both PNG and JPEG formats, pick the smaller one", and the code worked that way before v0.62.0. Because of this, photos were sent as multi-MB PNGs, which made requests large enough to fail or time out. This change compares PNG with JPEG at the configured quality at each size step and tries the smaller one first. It tries the other one next, and the lower JPEG qualities only after that. Screenshots and other images where PNG is smaller still go out as PNG. **Testing** - Added a regression test to `test/image-processing.test.ts`: a generated photo-like 1200×800 JPEG resized to 1000 px must come back as `image/jpeg`. The test fails without the fix (PNG is returned) and passes with it. - `node ../../node_modules/vitest/dist/cli.js --run test/image-processing.test.ts test/image-resize-callers.test.ts`: all pass. - `npm run check`: no issues in the changed files. It does report type errors, all in `packages/ai/test` (model ID unions), which this change does not touch. - Reproduction with a photo-like 2400×1620 JPEG (460 KB base64): - before: `image/png`, 4,008,480 bytes base64, at 2000×1350 - after: `image/jpeg`, 255,316 bytes base64, at 2000×1350 Fixes #11551 Requested by @davidbrai Co-authored-by: triagent <triagent@localhost> |
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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