d48843ea55
* feat(coding-agent): add fold/unfold to tree branch navigation Remap left/right arrow keys in the session tree to jump between branch segment starts (first child of each branching point). Left on a foldable node (root or segment start) folds it, hiding its descendants. Right on a folded node unfolds it. Nested fold state is preserved. Search and filter changes reset all folds. Folded branches show ⊞ in the connector (├⊞/└⊞) or as a prefix for roots. Active path marker • appears after the fold indicator. Add Page Up/Down support for paging through the tree list, consistent with session selector and config selector. * feat(coding-agent): improve tree branch folding closes #1724 --------- Co-authored-by: Sviatoslav Abakumov <dust.harvesting@gmail.com>
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Pi Monorepo
Looking for the pi coding agent? See packages/coding-agent for installation and usage.
Tools for building AI agents and managing LLM deployments.
Packages
| Package | Description |
|---|---|
| @mariozechner/pi-ai | Unified multi-provider LLM API (OpenAI, Anthropic, Google, etc.) |
| @mariozechner/pi-agent-core | Agent runtime with tool calling and state management |
| @mariozechner/pi-coding-agent | Interactive coding agent CLI |
| @mariozechner/pi-mom | Slack bot that delegates messages to the pi coding agent |
| @mariozechner/pi-tui | Terminal UI library with differential rendering |
| @mariozechner/pi-web-ui | Web components for AI chat interfaces |
| @mariozechner/pi-pods | CLI for managing vLLM deployments on GPU pods |
Contributing
See CONTRIBUTING.md for contribution guidelines and AGENTS.md for project-specific rules (for both humans and agents).
Development
npm install # Install all dependencies
npm run build # Build all packages
npm run check # Lint, format, and type check
./test.sh # Run tests (skips LLM-dependent tests without API keys)
./pi-test.sh # Run pi from sources (must be run from repo root)
Note:
npm run checkrequiresnpm run buildto be run first. The web-ui package usestscwhich needs compiled.d.tsfiles from dependencies.
License
MIT