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docs(coding-agent): refresh documentation (#9898)

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* docs(coding-agent): improve getting started documentation

* docs(coding-agent): correct getting started details

* docs(coding-agent): clarify SDK entry point

* docs(coding-agent): restructure guides and references

* docs(coding-agent): improve getting started guides

* docs(coding-agent): refresh integration guides

* docs(coding-agent): improve terminal and CLI guides

* docs(coding-agent): refresh customisation guides

* docs(coding-agent): clarify project trust terminology

* docs(coding-agent): simplify customisation guidance

* docs(coding-agent): improve runtime and reference guidance

* Fix settings reference

* feat(coding-agent): add Crowdin documentation sync

* docs(coding-agent): separate CLI and slash command references

* docs(coding-agent): correct compaction reference

* docs(coding-agent): streamline package documentation

* docs(coding-agent): split RPC reference documentation

* Update configuration docs

* Shorten config docs

* docs(coding-agent): refine configuration references

* docs(coding-agent): streamline settings reference

* docs(coding-agent): clarify configuration reference

* docs(coding-agent): clarify project trust exception

* docs(coding-agent): simplify keybindings reference

* docs(coding-agent): remove Crowdin integration

* docs(coding-agent): turn themes reference into guide

* docs(coding-agent): consolidate model and authentication docs

* docs(tui): require Component.invalidate() (fixes #9358)

* docs(coding-agent): document offline catalog behavior (fixes #8684)

* docs(coding-agent): preserve established documentation routes

* docs(coding-agent): reorganize documentation navigation

* docs(coding-agent): correct audited behavior

Clarify provider, session, local-model, Termux, TUI, SDK, debug, and extension behavior. Simplify the documentation audit to report only clear user-visible contradictions.

* docs(coding-agent): fix broken documentation links
This commit is contained in:
Christian Klotz
2026-09-22 16:48:19 +02:00
committed by GitHub
parent d201760ffe
commit 25cc5c7bf4
49 changed files with 4187 additions and 11681 deletions
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AGENTS.md
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- Inline single-line helpers that have only one call site.
- Check node_modules for external API types; don't guess.
- **No inline imports** (`await import()`, `import("pkg").Type`, dynamic type imports). Top-level imports only.
- In `packages/coding-agent`, resolve package assets through helpers in `src/config.ts`. Do not use `__dirname` directly; the helpers account for source checkouts, npm installations, and standalone binaries.
- Never remove or downgrade code to fix type errors from outdated deps; upgrade the dep instead.
- Use only erasable TypeScript syntax (Node strip-only mode) in code checked by the root config (`packages/*/src`, `packages/*/test`, `packages/coding-agent/examples`): no parameter properties, `enum`, `namespace`/`module`, `import =`, `export =`, or other constructs needing JS emit. Use explicit fields with constructor assignments.
- Always ask before removing functionality or code that appears intentional.
packages/coding-agent/README.md
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<p align="center">
<a href="https://pi.dev">
<img alt="pi logo" src="https://pi.dev/logo-auto.svg" width="128">
<img alt="Pi logo" src="https://pi.dev/logo-auto.svg" width="128">
</a>
</p>
<p align="center">
<a href="https://discord.com/invite/3cU7Bz4UPx"><img alt="Discord" src="https://img.shields.io/badge/discord-community-5865F2?style=flat-square&logo=discord&logoColor=white" /></a>
<a href="https://www.npmjs.com/package/@earendil-works/pi-coding-agent"><img alt="npm" src="https://img.shields.io/npm/v/@earendil-works/pi-coding-agent?style=flat-square" /></a>
<a href="https://www.npmjs.com/package/@earendil-works/pi-coding-agent"><img alt="npm" src="https://img.shields.io/npm/v/@earendil-works/pi-coding-agent?style=flat-square&logo=npm&logoColor=white" /></a>
</p>
> New issues and PRs from new contributors are auto-closed by default. Maintainers review auto-closed issues daily. See [CONTRIBUTING.md](../../CONTRIBUTING.md).
> New issues and PRs from new contributors are closed automatically. Maintainers review closed submissions daily. See [CONTRIBUTING.md](https://github.com/earendil-works/pi/blob/main/CONTRIBUTING.md).
---
# Pi
Pi is a minimal terminal coding harness. Adapt pi to your workflows, not the other way around, without having to fork and modify pi internals. Extend it with TypeScript [Extensions](#extensions), [Skills](#skills), [Prompt Templates](#prompt-templates), and [Themes](#themes). Put your extensions, skills, prompt templates, and themes in [Pi Packages](#pi-packages) and share them with others via npm or git.
Pi is a minimal, extensible AI agent for the terminal. Adapt Pi to your workflow, not the other way around.
Pi ships with powerful defaults but skips features like sub agents and plan mode. Instead, you can ask pi to build what you want or install a third party pi package that matches your workflow.
Ask Pi to create the prompt templates, skills, extensions, and themes you need, or install a Pi package. Use Pi directly, automate it in print, JSON, or RPC mode, or build applications with the TypeScript SDK.
Pi runs in four modes: interactive, print or JSON, RPC for process integration, and an SDK for embedding in your own apps.
## Getting started
## 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](https://x.com/badlogicgames/status/2037811643774652911).
To publish sessions, use [`badlogic/pi-share-hf`](https://github.com/badlogic/pi-share-hf). Read its README.md for setup instructions. All you need is a Hugging Face account, the Hugging Face CLI, and `pi-share-hf`.
You can also watch [this video](https://x.com/badlogicgames/status/2041151967695634619), where I show how I publish my `pi-mono` sessions.
I regularly publish my own `pi-mono` work sessions here:
- [badlogicgames/pi-mono on Hugging Face](https://huggingface.co/datasets/badlogicgames/pi-mono)
## Table of Contents
- [Quick Start](#quick-start)
- [Providers & Models](#providers--models)
- [Interactive Mode](#interactive-mode)
- [Editor](#editor)
- [Commands](#commands)
- [Keyboard Shortcuts](#keyboard-shortcuts)
- [Message Queue](#message-queue)
- [Sessions](#sessions)
- [Branching](#branching)
- [Compaction](#compaction)
- [Settings](#settings)
- [Context Files](#context-files)
- [Customization](#customization)
- [Prompt Templates](#prompt-templates)
- [Skills](#skills)
- [Extensions](#extensions)
- [Themes](#themes)
- [Pi Packages](#pi-packages)
- [Programmatic Usage](#programmatic-usage)
- [Philosophy](#philosophy)
- [CLI Reference](#cli-reference)
---
## Quick Start
Install the command-line interface with npm:
```bash
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
```
`--ignore-scripts` disables dependency lifecycle scripts during install. Pi does not require install scripts for normal npm installs.
This requires Node.js 22.19 or newer. Pi does not require dependency lifecycle scripts for a normal npm installation.
Installer alternative:
On macOS or Linux, you can instead use the installer:
```bash
curl -fsSL https://pi.dev/install.sh | sh
```
Authenticate with an API key:
Start Pi in the directory where you want it to work:
```bash
export ANTHROPIC_API_KEY=sk-ant-...
cd /path/to/project
pi
```
Or use your existing subscription:
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](docs/index.md) for full setup and usage instructions.
## Development
Clone the repository, install its dependencies, and run Pi from source:
```bash
pi
/login # Then select provider
git clone https://github.com/earendil-works/pi
cd pi
npm install --ignore-scripts
./pi-test.sh
```
Then just talk to pi. By default, pi gives the model four tools: `read`, `write`, `edit`, and `bash`. The model uses these to fulfill your requests. Add capabilities via [skills](#skills), [prompt templates](#prompt-templates), [extensions](#extensions), or [pi packages](#pi-packages).
`pi-test.sh` can be called from any directory and preserves the caller's working directory.
**Platform notes:** [Windows](docs/windows.md) | [Termux (Android)](docs/termux.md) | [tmux](docs/tmux.md) | [Terminal setup](docs/terminal-setup.md) | [Shell aliases](docs/shell-aliases.md)
---
## Providers & Models
For each built-in provider, pi maintains a list of tool-capable models. Configured provider catalogs refresh automatically; run `pi update --models` to force an immediate refresh. Authenticate via subscription (`/login`) or API key, then select any model from that provider via `/model` (or Ctrl+L). Press Ctrl+S in the model picker to save the highlighted model as the startup default.
**Subscriptions:**
- Anthropic Claude Pro/Max
- OpenAI ChatGPT Plus/Pro (Codex)
- GitHub Copilot
**API keys:**
- Anthropic
- Ant Ling
- OpenAI
- Azure OpenAI
- DeepSeek
- NVIDIA NIM
- Google Gemini
- Google Vertex
- Amazon Bedrock
- Mistral
- Groq
- Cerebras
- Cloudflare AI Gateway
- Cloudflare Workers AI
- xAI
- OpenRouter
- Vercel AI Gateway
- ZAI Coding Plan (Global)
- ZAI Coding Plan (China)
- OpenCode Zen
- OpenCode Go
- Hugging Face
- Fireworks
- Together AI
- Baseten
- Kimi For Coding
- Meta
- MiniMax
- Xiaomi MiMo
- Xiaomi MiMo Token Plan (China)
- Xiaomi MiMo Token Plan (Amsterdam)
- Xiaomi MiMo Token Plan (Singapore)
Pi also supports the llama.cpp router server. Configure it with `/login llama.cpp`, manage downloads and loaded models with `/llama`, then select a loaded model with `/model`. See [docs/llama-cpp.md](docs/llama-cpp.md) for setup and usage.
See [docs/providers.md](docs/providers.md) for other provider setup instructions.
**Custom providers & models:** Add providers via `~/.pi/agent/models.json` if they speak a supported API (OpenAI, Anthropic, Google). For custom APIs or OAuth, use extensions. See [docs/models.md](docs/models.md) and [docs/custom-provider.md](docs/custom-provider.md).
---
## Interactive Mode
<p align="center"><img src="docs/images/interactive-mode.png" alt="Interactive Mode" width="600"></p>
The interface from top to bottom:
- **Startup header** - Shows shortcuts (`/hotkeys` for all), loaded AGENTS.md files, prompt templates, skills, and extensions
- **Messages** - Your messages, assistant responses, tool calls and results, notifications, errors, and extension UI
- **Editor** - Where you type; border color indicates thinking level and the border shows the streaming working indicator
- **Footer** - Working directory, session name, total token/cache usage (`↑` input, `↓` output, `R` cache read, `W` cache write, `CH` latest cache hit rate), cost, context usage, current model. Totals include assistant responses, usage reported by tools, and summary generation.
The editor can be temporarily replaced by other UI, like built-in `/settings` or custom UI from extensions (e.g., a Q&A tool that lets the user answer model questions in a structured format). [Extensions](#extensions) can also replace the editor, add widgets above/below it, a status line, custom footer, or overlays.
### Editor
| Feature | How |
|---------|-----|
| File reference | Type `@` to fuzzy-search project files |
| Path completion | Tab to complete paths |
| Multi-line | Shift+Enter (or Ctrl+Enter on Windows Terminal) |
| External editor | Ctrl+G opens `externalEditor`, `$VISUAL`, `$EDITOR`, Notepad on Windows, or `nano` elsewhere |
| Clipboard | Ctrl+V to paste an image or text (Alt+V on Windows), or drag images onto terminal |
| Bash commands | `!command` runs and sends output to LLM, `!!command` runs without sending |
Standard editing keybindings for delete word, undo, etc. See [docs/keybindings.md](docs/keybindings.md).
### Commands
Type `/` in the editor to trigger commands. [Extensions](#extensions) can register custom commands, [skills](#skills) are available as `/skill:name`, and [prompt templates](#prompt-templates) expand via `/templatename`.
| Command | Description |
|---------|-------------|
| `/login`, `/logout` | Manage provider credentials |
| [`/llama`](docs/llama-cpp.md) | Download, load, and unload llama.cpp router models |
| `/model` | Switch models; Ctrl+S in the picker saves the startup default |
| `/thinking` | Switch thinking level; Ctrl+S in the picker saves the startup default |
| `/scoped-models` | Enable/disable models for Ctrl+P cycling |
| `/settings` | Theme, message delivery, transport, and other preferences |
| `/resume` | Pick from previous sessions |
| `/new` | Start a new session |
| `/name <name>` | Set session display name |
| `/session` | Show session info (file, ID, messages, tokens, cost) |
| `/tree` | Jump to any point in the session and continue from there |
| `/trust` | Save project trust decision for future sessions (restart required) |
| `/fork` | Create a new session from a previous user message |
| `/clone` | Duplicate the current active branch into a new session |
| `/compact [prompt]` | Manually compact context, optional custom instructions |
| `/copy` | Copy last assistant message to clipboard |
| `/export [file]` | Export session to HTML or JSONL file |
| `/import <file>` | Import and resume a session from a JSONL file |
| `/share` | Upload as private GitHub gist with shareable HTML link |
| `/bug [description]` | Report a bug to the Pi developers; see [Sessions](docs/sessions.md#reporting-bugs) |
| `/reload` | Reload keybindings, extensions, skills, prompts, themes, and context files |
| `/hotkeys` | Show all keyboard shortcuts |
| `/changelog` | Display version history |
| `/quit` | Quit pi |
### Keyboard Shortcuts
See `/hotkeys` for the full list. Customize via `~/.pi/agent/keybindings.json`. See [docs/keybindings.md](docs/keybindings.md).
**Commonly used:**
| Key | Action |
|-----|--------|
| Ctrl+C | Clear editor |
| Ctrl+C twice | Quit |
| Escape | Cancel/abort |
| Escape twice | Open `/tree` |
| Ctrl+L | Open model selector |
| Ctrl+P / Shift+Ctrl+P | Cycle scoped models forward/backward |
| Shift+Tab | Cycle thinking level |
| Ctrl+O | Collapse/expand tool output |
| Ctrl+T | Collapse/expand thinking blocks |
| Ctrl+X | Copy the last assistant message; with fullscreen copy-on-select disabled, copy the active text selection |
### Message Queue
Submit messages while the agent is working:
- **Enter** queues a *steering* message, delivered after the current assistant turn finishes executing its tool calls
- **Alt+Enter** queues a *follow-up* message, delivered only after the agent finishes all work
- **Escape** aborts and restores queued messages to editor
- **Alt+Up** retrieves queued messages back to editor
On Windows Terminal, `Alt+Enter` is fullscreen by default. Remap it in [docs/terminal-setup.md](docs/terminal-setup.md) so pi can receive the follow-up shortcut.
Configure delivery in [settings](docs/settings.md): `steeringMode` and `followUpMode` can be `"one-at-a-time"` (default, waits for response) or `"all"` (delivers all queued at once). `transport` selects provider transport preference (`"sse"`, `"websocket"`, or `"auto"`) for providers that support multiple transports.
---
## Sessions
Sessions are stored as JSONL files with a tree structure. Each entry has an `id` and `parentId`, enabling in-place branching without creating new files. See [docs/session-format.md](docs/session-format.md) for file format.
### Management
Sessions auto-save to `~/.pi/agent/sessions/` organized by working directory.
Before submitting changes, run:
```bash
pi -c # Continue most recent session
pi -r # Browse and select from past sessions
pi --no-session # Ephemeral mode (don't save)
pi --name "my task" # Set session display name at startup
pi --session <path|id> # Use specific session file or ID
pi --fork <path|id> # Fork specific session file or ID into a new session
npm run check
./test.sh
```
Use `/session` in interactive mode to see the current session ID before reusing it with `--session <id>` or `--fork <id>`.
### Branching
**`/tree`** - Navigate the session tree in-place. Select any previous point, continue from there, and switch between branches. All history preserved in a single file. Selecting a point while the model is responding cancels that response. Navigation cannot proceed while compaction or another tree navigation is still running; wait for it to finish and retry.
<p align="center"><img src="docs/images/tree-view.png" alt="Tree View" width="600"></p>
- Search by typing, fold/unfold and jump between branches with Ctrl+←/Ctrl+→ or Alt+←/Alt+→, page with ←/→
- Filter modes (Ctrl+O): default → no-tools → user-only → labeled-only → all
- Press Ctrl+X to copy the selected message
- Press Shift+L to label entries as bookmarks and Shift+T to toggle label timestamps
**`/fork`** - Create a new session file from a previous user message on the active branch. Opens a selector, copies the active path up to that point, and places the selected prompt in the editor for modification.
**`/clone`** - Duplicate the current active branch into a new session file at the current position. The new session keeps the full active-path history and opens with an empty editor.
**`--fork <path|id>`** - Fork an existing session file or partial session UUID directly from the CLI. This copies the full source session into a new session file in the current project.
### Compaction
Long sessions can exhaust context windows. Compaction summarizes older messages while keeping recent ones.
**Manual:** `/compact` or `/compact <custom instructions>`
**Automatic:** Enabled by default. Triggers on context overflow (recovers and retries) or when approaching the limit (proactive). Configure via `/settings` or `settings.json`.
Compaction is lossy. The full history remains in the JSONL file; use `/tree` to revisit. Customize compaction behavior via [extensions](#extensions). See [docs/compaction.md](docs/compaction.md) for internals.
Session model context is projected from append-only history. Extensions can append a `context_edit` to omit or replace an earlier message only for future model requests; raw history and usage remain unchanged:
```typescript
const assistantId = sessionManager.appendMessage(partialAssistant);
sessionManager.appendContextEdit(assistantId, null); // Hidden from model context, retained in JSONL.
```
A retain-none compaction uses `appendCompaction(summary, null, tokensBefore)` to make the exact summary the new context root while preserving prior raw entries.
---
## Settings
Use `/settings` to modify common options, or edit JSON files directly:
| Location | Scope |
|----------|-------|
| `~/.pi/agent/settings.json` | Global (all projects) |
| `.pi/settings.json` | Project (overrides global) |
See [docs/settings.md](docs/settings.md) for all options.
### Project Trust
On interactive startup, pi asks before trusting a project folder that contains project-local settings, resources, or project `.agents/skills` and has no saved decision for the folder or a parent folder in `~/.pi/agent/trust.json`. Trusting a project allows pi to load `.pi/settings.json` and `.pi` resources, install missing project packages, and execute project extensions.
Before the trust decision, pi loads only context files, user/global extensions, and CLI `-e` extensions so they can handle the `project_trust` event. Project-local extensions, project package-managed extensions, and project settings are loaded only after the project is trusted. This split also applies when switching to a session from a different cwd whose trust has not been resolved in the current process.
Non-interactive modes (`-p`, `--mode json`, and `--mode rpc`) do not show a trust prompt. Without an applicable saved trust decision, they use `defaultProjectTrust` from global settings: `ask` (default) and `never` ignore those project resources, while `always` trusts them. Pass `--approve`/`-a` or `--no-approve`/`-na` to override project trust for one run.
If no extension or saved decision applies, `defaultProjectTrust` controls the fallback behavior. Set it to `"ask"`, `"always"`, or `"never"` in `~/.pi/agent/settings.json`, or change it with `/settings`.
`pi config` and package commands use the same project trust flow, except `pi update` never prompts. Pass `--approve` to trust project-local settings for one command or `--no-approve` to ignore them.
Use `/trust` in interactive mode to save a project trust decision for future sessions, including trust for the immediate parent folder. It writes `~/.pi/agent/trust.json` only; the current session is not reloaded, so restart pi for changes to take effect.
### Telemetry and update checks
Pi has two separate startup features:
- **Update check:** fetches `https://pi.dev/api/latest-version` to check whether a newer Pi version exists. Disable it with `PI_SKIP_VERSION_CHECK=1`. Disabling update checks only turns off this check.
- **Install/update telemetry:** after first install or a changelog-detected update, sends an anonymous version ping to `https://pi.dev/api/report-install`. This setting also controls optional provider attribution headers for OpenRouter, Cloudflare, and direct NVIDIA NIM requests. Opt out by setting `enableInstallTelemetry` to `false` in `settings.json`, or by setting `PI_TELEMETRY=0`. This does not disable update checks; Pi may still contact `pi.dev` for the latest version unless update checks are disabled or offline mode is enabled.
Use `--offline` or `PI_OFFLINE=1` to disable all startup network operations described here, including update checks, package update checks, and install/update telemetry.
---
## Context Files
Pi loads `AGENTS.md` (or `CLAUDE.md`) at startup from:
- `~/.pi/agent/AGENTS.md` (global)
- Parent directories (walking up from cwd)
- Current directory
If a directory contains `AGENTS.override.md`, Pi loads it instead of `AGENTS.md` or `CLAUDE.md` from that directory. Context files from other directories are still concatenated.
Use for project instructions (`AGENTS.md`/`CLAUDE.md`), conventions, common commands. All matching files are concatenated.
Disable context file loading with `--no-context-files` (or `-nc`).
### System Prompt
Replace the default system prompt with `.pi/SYSTEM.md` (project) or `~/.pi/agent/SYSTEM.md` (global). Append without replacing via `APPEND_SYSTEM.md`.
---
## Customization
### Prompt Templates
Reusable prompts as Markdown files. Type `/name` to expand.
```markdown
<!-- ~/.pi/agent/prompts/review.md -->
Review this code for bugs, security issues, and performance problems.
Focus on: {{focus}}
```
Place in `~/.pi/agent/prompts/`, `.pi/prompts/`, or a [pi package](#pi-packages) to share with others. See [docs/prompt-templates.md](docs/prompt-templates.md).
### Skills
On-demand capability packages following the [Agent Skills standard](https://agentskills.io). Invoke via `/skill:name` or let the agent load them automatically.
```markdown
<!-- ~/.pi/agent/skills/my-skill/SKILL.md -->
# My Skill
Use this skill when the user asks about X.
## Steps
1. Do this
2. Then that
```
Place in `~/.pi/agent/skills/`, `~/.agents/skills/`, `.pi/skills/`, or `.agents/skills/` (from `cwd` up through parent directories) or a [pi package](#pi-packages) to share with others. See [docs/skills.md](docs/skills.md).
### Extensions
<p align="center"><img src="docs/images/doom-extension.png" alt="Doom Extension" width="600"></p>
TypeScript modules that extend pi with custom tools, commands, keyboard shortcuts, event handlers, and UI components.
```typescript
export default function (pi: ExtensionAPI) {
pi.registerTool({ name: "deploy", ... });
pi.registerCommand("stats", { ... });
pi.on("tool_call", async (event, ctx) => { ... });
}
```
`turn_end` and `agent_before_settle` are actionable persistence boundaries. Handlers can append structural entries and request one continuation. Later handlers see earlier proposals:
```typescript
let replacedResponse = false;
pi.on("turn_end", (event) => {
if (replacedResponse || event.outcome !== "completed" || event.toolResults.length > 0) return;
replacedResponse = true;
return {
entries: [
...event.entries,
{ type: "context_edit", targetId: event.messageEntryId, replacement: null },
{
type: "custom_message",
customType: "replacement-instruction",
content: "Answer again using the persisted user request.",
display: false,
},
],
continue: true,
};
});
```
Continuation is one-shot per boundary result, not per registered handler. It ensures one next provider request: tool-result, steering, or follow-up scheduling can satisfy that request without adding another one; otherwise Pi makes one context-only request. Guard handlers like the example above because an unconditional `continue: true` is evaluated again after the next response and can loop indefinitely. Error and aborted responses remain hard exits.
Use `agent_before_settle` for final actions after retries, compaction, and queued input are exhausted. See [docs/extensions.md](docs/extensions.md#agent_start--agent_end--agent_before_settle--agent_settled).
The default export can also be `async`. pi waits for async extension factories before startup continues, which is useful for one-time initialization such as fetching remote model lists before calling `pi.registerProvider()`.
**What's possible:**
- Custom tools (or replace built-in tools entirely)
- Sub-agents and plan mode
- Custom compaction and summarization
- Permission gates and path protection
- Custom editors and UI components
- Status lines, headers, footers
- Git checkpointing and auto-commit
- SSH and sandbox execution
- MCP server integration
- Make pi look like Claude Code
- Games while waiting (yes, Doom runs)
- ...anything you can dream up
Place in `~/.pi/agent/extensions/`, `.pi/extensions/`, or a [pi package](#pi-packages) to share with others. See [docs/extensions.md](docs/extensions.md) and [examples/extensions/](examples/extensions/).
### Themes
Built-in: `dark`, `light`. Themes hot-reload: modify the active theme file and pi immediately applies changes.
Place in `~/.pi/agent/themes/`, `.pi/themes/`, or a [pi package](#pi-packages) to share with others. See [docs/themes.md](docs/themes.md).
### Pi Packages
Bundle and share extensions, skills, prompts, and themes via npm or git. Find packages on [npmjs.com](https://www.npmjs.com/search?q=keywords%3Api-package) or [Discord](https://discord.com/channels/1456806362351669492/1457744485428629628).
> **Security:** Pi packages run with full system access. Extensions execute arbitrary code, and skills can instruct the model to perform any action including running executables. Review source code before installing third-party packages.
```bash
pi install npm:@foo/pi-tools
pi install npm:@foo/pi-tools@1.2.3 # pinned version
pi install git:github.com/user/repo
pi install git:github.com/user/repo@v1 # tag or commit
pi install git:git@github.com:user/repo
pi install git:git@github.com:user/repo@v1 # tag or commit
pi install https://github.com/user/repo
pi install https://github.com/user/repo@v1 # tag or commit
pi install ssh://git@github.com/user/repo
pi install ssh://git@github.com/user/repo@v1 # tag or commit
pi remove npm:@foo/pi-tools
pi uninstall npm:@foo/pi-tools # alias for remove
pi list
pi update # update pi only
pi update --all # update pi and packages
pi update --extensions # update packages only
pi update --models # refresh model catalogs only
pi update --self # update pi only
pi update --self --force # reinstall pi even if current
pi update npm:@foo/pi-tools # update one package
pi config # enable/disable extensions, skills, prompts, themes
```
Packages install to `~/.pi/agent/git/` (git) or `~/.pi/agent/npm/` (npm). Use `-l` for project-local installs (`.pi/git/`, `.pi/npm/`). Git `@ref` values are pinned tags or commits; pinned packages are skipped by `pi update --extensions` and `pi update --all`, so use `pi install git:host/user/repo@new-ref` to move an existing package to a new ref. Git packages install dependencies with `npm install --omit=dev` by default, so runtime deps must be listed under `dependencies`; when `npmCommand` is configured, git packages use plain `install` for compatibility with wrappers. If you use a Node version manager and want package installs to reuse a stable npm context, set `npmCommand` in `settings.json`, for example `["mise", "exec", "node@20", "--", "npm"]`.
Create a package by adding a `pi` key to `package.json`:
```json
{
"name": "my-pi-package",
"keywords": ["pi-package"],
"pi": {
"extensions": ["./extensions"],
"skills": ["./skills"],
"prompts": ["./prompts"],
"themes": ["./themes"]
}
}
```
Without a `pi` manifest, pi auto-discovers from conventional directories (`extensions/`, `skills/`, `prompts/`, `themes/`).
See [docs/packages.md](docs/packages.md).
---
## Programmatic Usage
### SDK
```typescript
import { createAgentSession, ModelRuntime, SessionManager } from "@earendil-works/pi-coding-agent";
const modelRuntime = await ModelRuntime.create();
const { session } = await createAgentSession({
sessionManager: SessionManager.inMemory(),
modelRuntime,
});
await session.prompt("What files are in the current directory?");
```
For advanced multi-session runtime replacement, use `createAgentSessionRuntime()` and `AgentSessionRuntime`.
See [docs/sdk.md](docs/sdk.md) and [examples/sdk/](examples/sdk/).
### RPC Mode
For non-Node.js integrations, use RPC mode over stdin/stdout:
```bash
pi --mode rpc
```
RPC mode uses strict LF-delimited JSONL framing. Clients must split records on `\n` only. Do not use generic line readers like Node `readline`, which also split on Unicode separators inside JSON payloads.
See [docs/rpc.md](docs/rpc.md) for the protocol.
---
## Philosophy
Pi is aggressively extensible so it doesn't have to dictate your workflow. Features that other tools bake in can be built with [extensions](#extensions), [skills](#skills), or installed from third-party [pi packages](#pi-packages). This keeps the core minimal while letting you shape pi to fit how you work.
**No MCP.** Build CLI tools with READMEs (see [Skills](#skills)), or build an extension that adds MCP support. [Why?](https://mariozechner.at/posts/2025-11-02-what-if-you-dont-need-mcp/)
**No sub-agents.** There's many ways to do this. Spawn pi instances via tmux, or build your own with [extensions](#extensions), or install a package that does it your way.
**No permission popups.** Run in a container, or build your own confirmation flow with [extensions](#extensions) inline with your environment and security requirements.
**No plan mode.** Write plans to files, or build it with [extensions](#extensions), or install a package.
**No built-in to-dos.** They confuse models. Use a TODO.md file, or build your own with [extensions](#extensions).
**No background bash.** Use tmux. Full observability, direct interaction.
Read the [blog post](https://mariozechner.at/posts/2025-11-30-pi-coding-agent/) for the full rationale.
---
## CLI Reference
```bash
pi [options] [--] [@files...] [messages...]
```
### Package Commands
```bash
pi install <source> [-l] # Install package, -l for project-local
pi remove <source> [-l] # Remove package
pi uninstall <source> [-l] # Alias for remove
pi update [source|self|pi] # Update pi only, or one package source
pi update --all # Update pi and packages
pi update --extensions # Update packages only
pi update --models # Refresh model catalogs only
pi update --self # Update pi only
pi update --self --force # Reinstall pi even if current
pi update --extension <src> # Update one package
pi list # List installed packages
pi config # Enable/disable package resources
```
`pi config` and project package commands accept `--approve`/`--no-approve` to trust or ignore project-local settings for one command. `pi update` never prompts for project trust.
### Modes
| Flag | Description |
|------|-------------|
| (default) | Interactive mode |
| `-p`, `--print` | Print response and exit |
| `--mode json` | Output all events as JSON lines (see [docs/json.md](docs/json.md)) |
| `--mode rpc` | RPC mode for process integration (see [docs/rpc.md](docs/rpc.md)) |
| `--export <in> [out]` | Export session to HTML |
In print mode, pi also reads piped stdin and merges it into the initial prompt:
```bash
cat README.md | pi -p "Summarize this text"
```
### Model Options
| Option | Description |
|--------|-------------|
| `--provider <name>` | Provider (anthropic, openai, google, etc.) |
| `--model <pattern>` | Model pattern or ID (supports `provider/id` and optional `:<thinking>`) |
| `--api-key <key>` | API key (overrides env vars) |
| `--thinking <level>` | `off`, `minimal`, `low`, `medium`, `high`, `xhigh`, `max` |
| `--models <patterns>` | Comma-separated patterns for Ctrl+P cycling |
| `--list-models [search]` | List available models |
### Session Options
| Option | Description |
|--------|-------------|
| `-c`, `--continue` | Continue most recent session |
| `-r`, `--resume` | Browse and select session |
| `--session <path\|id>` | Use specific session file or partial UUID |
| `--fork <path\|id>` | Fork specific session file or partial UUID into a new session |
| `--session-dir <dir>` | Custom session storage directory |
| `--no-session` | Ephemeral mode (don't save) |
| `--name <name>`, `-n <name>` | Set session display name at startup |
### Tool Options
| Option | Description |
|--------|-------------|
| `--tools <list>`, `-t <list>` | Allowlist specific tool names across built-in, extension, and custom tools |
| `--exclude-tools <list>`, `-xt <list>` | Disable specific tool names across built-in, extension, and custom tools |
| `--no-builtin-tools`, `-nbt` | Disable built-in tools by default but keep extension/custom tools enabled |
| `--no-tools`, `-nt` | Disable all tools by default |
Available built-in tools: `read`, `bash`, `powershell` (Windows), `edit`, `write`, `grep`, `find`, `ls`
### Resource Options
| Option | Description |
|--------|-------------|
| `-e`, `--extension <source>` | Load extension from path, npm, or git (repeatable) |
| `--no-extensions` | Disable extension discovery |
| `--skill <path>` | Load skill (repeatable) |
| `--no-skills` | Disable skill discovery |
| `--prompt-template <path>` | Load prompt template (repeatable) |
| `--no-prompt-templates` | Disable prompt template discovery |
| `--theme <path>` | Load theme (repeatable) |
| `--no-themes` | Disable theme discovery |
| `--no-context-files`, `-nc` | Disable AGENTS.md and CLAUDE.md context file discovery |
Combine `--no-*` with explicit flags to load exactly what you need, ignoring settings.json (e.g., `--no-extensions -e ./my-ext.ts`).
### Other Options
| Option | Description |
|--------|-------------|
| `--system-prompt <text>` | Replace default prompt (context files and skills still appended) |
| `--append-system-prompt <text>` | Append to system prompt |
| `--tui-mode <mode>` | TUI mode: `regular` (default) or experimental `fullscreen` |
| `--use-theme <name[/name]>` | Set the initial interactive theme for this run without changing settings |
| `--verbose` | Force verbose startup |
| `-a`, `--approve` | Trust project-local files for this run |
| `-na`, `--no-approve` | Ignore project-local files for this run |
| `--` | Stop option parsing; remaining arguments are prompts or `@file` inputs |
| `-h`, `--help` | Show help |
| `-v`, `--version` | Show version |
### File Arguments
Prefix files with `@` to include in the message:
```bash
pi @prompt.md "Answer this"
pi -p @screenshot.png "What's in this image?"
pi @code.ts @test.ts "Review these files"
```
### Examples
```bash
# Interactive with initial prompt
pi "List all .ts files in src/"
# Non-interactive
pi -p "Summarize this codebase"
# Prompt beginning with a dash
pi -p -- "- Summarize these points"
# Non-interactive with piped stdin
cat README.md | pi -p "Summarize this text"
# Named one-shot session
pi --name "release audit" -p "Audit this repository"
# Different model
pi --provider openai --model gpt-4o "Help me refactor"
# Model with provider prefix (no --provider needed)
pi --model openai/gpt-4o "Help me refactor"
# Model with thinking level shorthand
pi --model sonnet:high "Solve this complex problem"
# Limit model cycling
pi --models "claude-*,gpt-4o"
# Read-only mode
pi --tools read,grep,find,ls -p "Review the code"
# Disable one extension or built-in tool while keeping the rest available
pi --exclude-tools ask_question
# High thinking level
pi --thinking high "Solve this complex problem"
```
### Environment Variables
| Variable | Description |
|----------|-------------|
| `AI_AGENT` | Set to `pi` by the CLI and RPC entry points so generic tooling can attribute child processes to Pi |
| `PI_CODING_AGENT` | Set to `true` by the CLI and RPC entry points so child processes can detect that they run inside Pi |
| `PI_CODING_AGENT_DIR` | Override config directory (default: `~/.pi/agent`) |
| `PI_CODING_AGENT_SESSION_DIR` | Override session storage directory (overridden by `--session-dir`) |
| `PI_PACKAGE_DIR` | Override package directory (useful for Nix/Guix where store paths tokenize poorly) |
| `PI_OFFLINE` | Disable startup network operations, including update checks, package update checks, and install/update telemetry |
| `PI_SKIP_VERSION_CHECK` | Skip the Pi version update check at startup. This prevents the `pi.dev` latest-version request |
| `PI_TELEMETRY` | Override install/update telemetry and provider attribution headers. Use `1`/`true`/`yes` to enable or `0`/`false`/`no` to disable. This does not disable update checks |
| `PI_CACHE_RETENTION` | Set to `long` for extended prompt cache (Anthropic: 1h, OpenAI: 24h) |
| `VISUAL`, `EDITOR` | Fallback external editor for Ctrl+G when `externalEditor` is unset; defaults to Notepad on Windows and `nano` elsewhere |
Commands run by the LLM-callable `bash` and `powershell` tools also receive current session metadata:
| Variable | Description |
|----------|-------------|
| `PI_SESSION_ID` | Current session ID |
| `PI_SESSION_FILE` | Absolute session JSONL path; unset for ephemeral sessions |
| `PI_PROVIDER` | Currently selected model provider |
| `PI_MODEL` | Currently selected model ID |
| `PI_REASONING_LEVEL` | Current effective reasoning level |
These values are resolved when each command starts. See [Environment Variables](docs/environment-variables.md#shell-tool-session-environment) for semantics, examples, and custom-tool opt-out.
---
## Contributing & Development
See [CONTRIBUTING.md](../../CONTRIBUTING.md) for guidelines and [docs/development.md](docs/development.md) for setup, forking, and debugging.
Read [CONTRIBUTING.md](https://github.com/earendil-works/pi/blob/main/CONTRIBUTING.md) before opening an issue or pull request. It defines the contribution gate, issue quality bar, and required checks. Read [AGENTS.md](https://github.com/earendil-works/pi/blob/main/AGENTS.md) for repository-specific implementation, testing, dependency, and release rules.
## License
MIT
## See Also
- [@earendil-works/pi-ai](https://www.npmjs.com/package/@earendil-works/pi-ai): Core LLM toolkit
- [@earendil-works/pi-agent-core](https://www.npmjs.com/package/@earendil-works/pi-agent-core): Agent framework
- [@earendil-works/pi-tui](https://www.npmjs.com/package/@earendil-works/pi-tui): Terminal UI components
<p align="center">
<a href="https://pi.dev">pi.dev</a> domain graciously donated by
<br /><br />
<a href="https://exe.dev"><img src="docs/images/exy.png" alt="Exy mascot" width="48" /><br />exe.dev</a>
</p>
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# CLI Integration
By default, running `pi` opens the interactive terminal interface. When input or output is piped or redirected, Pi uses print mode instead. You can also select print, JSON, or RPC mode explicitly for scripts and applications.
All four modes use the same agent, sessions, resources, and tools. The mode determines how input enters Pi, how output is exposed, and whether the process remains available for more commands.
The SDK is not a CLI mode. It embeds the agent directly in a Node.js or Bun process. See the [SDK](sdk.md) when direct TypeScript access is preferable to a process boundary.
## Choose a mode
| Mode | Interface | Lifetime | Use it when |
|---|---|---|---|
| Interactive | Terminal UI | Until the user exits | A person is working with Pi directly |
| Print | Final text on stdout | One invocation | A script needs the final assistant response |
| JSON | JSONL events on stdout | One invocation | A process needs structured progress from a run |
| RPC | JSONL commands, responses, and events | Long-lived | A process needs bidirectional control |
CLI options still select the working directory, model, tools, resources, and session persistence independently of the mode. See [Command Line](cli.md) for the complete startup options.
## Print to stdout
Print mode runs the supplied prompts, writes the final assistant text to stdout, and exits:
```bash
pi --print "Summarize the changes in this repository"
```
Use print mode when only the final text is needed, including command substitution, pipelines, and one-shot jobs. Intermediate events are not exposed.
Print mode writes errors to stderr. A final assistant response with an `error` or `aborted` stop reason produces a nonzero exit status.
When no mode is selected explicitly, non-TTY stdin or stdout also selects print mode. This allows piped input and output without adding `--print`.
## Stream JSON events
JSON mode writes a session header followed by agent and session events as newline-delimited JSON:
```bash
pi --mode json "Review this repository" > events.jsonl
```
This is structured event output, not a single JSON result or a constraint on the format of the model’s response.
All prompts are supplied when the process starts. The process streams events for that run and then exits; it does not accept later commands.
A failed or aborted assistant response appears in the event stream but does not by itself produce a nonzero exit status. Inspect the events when success or failure matters. Pi still exits nonzero if the invocation throws an error.
Streaming `message_update` records contain deltas rather than a growing message snapshot. Assemble live output from the delta events, then replace it with the authoritative message from `message_end`.
`agent_end` can be followed by automatic recovery or queued work. `agent_settled` marks the end of automatic work for the current run.
Stdout is reserved for JSONL. Diagnostics and application logging are written to stderr. See [JSON Event Stream](json.md) for framing, event shapes, and reconstruction rules.
## Control Pi with RPC
RPC mode keeps Pi running while another process sends commands and receives responses and events:
```bash
pi --mode rpc --no-session
```
Commands are JSON objects written to stdin. Responses and events are JSON objects written to stdout. Every record occupies one line.
Add an `id` to commands that need correlation. The matching response repeats that ID. Events generally have no command ID because they describe session activity rather than one request.
A successful `prompt` response means the prompt was accepted, queued, or handled. It does not mean the run completed. Continue consuming events through `agent_settled` when completion matters.
RPC commands can change models, inspect state, manage sessions, run shell commands, and answer extension UI requests.
Extension dialogs form a request-response subprotocol. Other extension UI updates are notifications that a client may display or ignore. TUI-only extension capabilities are unavailable or degraded outside interactive mode.
For Node.js or TypeScript integrations, prefer `RpcClient` from `@earendil-works/pi-coding-agent`. It starts a Pi RPC child process, correlates requests, exposes typed command methods, and delivers session events to listeners.
The [RPC client example](../examples/rpc-client.ts) sends one prompt, streams text and tool activity, waits for `agent_settled`, and shuts down the child process. It is included in the repository’s TypeScript checks.
`RpcClient.promptAndWait()` installs its event listener before sending the prompt, avoiding a race with fast completions. For separate operations, subscribe before calling `prompt()` and call `waitForIdle()` only while a run is active.
The client requires a path to a runnable Pi CLI. The repository example points at `dist/cli.js`, so the package must be built before that example runs from a checkout.
If you are building a client without `RpcClient`, start with [RPC Protocol](rpc.md), then use [RPC Commands](rpc-commands.md) and [JSON Event Stream](json.md) as the wire references.
## Fork and rebrand Pi
A source fork can change the CLI name and configuration directory through `package.json`:
```json
{
"piConfig": {
"name": "my-agent",
"configDir": ".my-agent"
}
}
```
Change the top-level `bin` field to set the executable name. These settings affect the CLI banner, configuration paths, and derived environment variable names.
## Examples and references
- [RPC client](../examples/rpc-client.ts): typed Node.js integration
- [RPC extension UI](../examples/rpc-extension-ui.ts): custom terminal client with extension dialogs
- [Command Line](cli.md): startup options and mode selection
- [JSON Event Stream](json.md): JSON event reference
- [RPC Protocol](rpc.md): RPC lifecycle, framing, errors, and shutdown
- [RPC Commands](rpc-commands.md): command and response reference
- [RPC Extension UI](rpc-extension-ui.md): extension interaction subprotocol
- [SDK examples](../examples/sdk/): in-process TypeScript integrations
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<a id="cli-and-modes-reference"></a>
# Command Line
This page documents Pi's built-in command-line commands and options. Run `pi --help` or append `--help` to a command for the exact interface in your installed version. The top-level help also includes options registered by loaded extensions.
```sh
pi [options] [--] [@files...] [messages...]
pi install <source> [options]
pi remove <source> [options]
pi uninstall <source> [options]
pi update [target] [options]
pi list
pi config [options]
pi auth <check|print-api-key|print-bearer-token> [options]
```
<a id="modes"></a>
## Invocation and output
```sh
pi
pi --print "Summarize this repository"
git diff | pi --print "Review this change"
pi --mode json "Inspect this repository" > events.jsonl
```
With terminal stdin and stdout, Pi opens the terminal UI unless `--print`, `--mode json`, or `--mode rpc` selects another interface. When either stream is redirected and neither JSON nor RPC mode is selected, Pi uses print mode. See [CLI Integration](cli-integration.md) for choosing between interactive, print, JSON, RPC, and SDK integration.
| Input | Behavior |
|---|---|
| `message` | Provide an initial prompt |
| `@path` | Include a text file or image in the first prompt |
| Piped stdin | Prepend its contents to the first prompt |
| `--` | Stop option parsing so a prompt can begin with `-` |
Pi resolves `@path` from the current working directory. The working directory also controls project configuration, resource discovery, and session grouping.
`--print` controls whether Pi runs once and exits. `--mode` selects the output interface. `--mode text` does not force one-shot execution when stdin and stdout are terminals; use `--print` for that behavior.
| Option | Behavior |
|---|---|
| `-p`, `--print` | Run the supplied prompts, write the final assistant text to stdout, then exit |
| `--mode text` | Select text output; still open the terminal UI when stdin and stdout are terminals |
| `--mode json` | Run the supplied prompts, write JSONL events to stdout, then exit |
| `--mode rpc` | Read JSONL commands from stdin and write responses and events to stdout until shutdown |
| `--export <input> [output]` | Export a session file to HTML and exit; derive the destination when `output` is omitted |
RPC mode rejects `@file` arguments. JSON and RPC modes reserve stdout for protocol records. See [JSON Event Stream](json.md) and [RPC Protocol](rpc.md).
<a id="model-options"></a>
## Models
```sh
pi --model sonnet:high
```
See [Choose a Model](models.md) for model selection and [Provider Authentication](providers.md) for credentials.
- `--provider <name>`<br>
Restricts `--model` lookup to one provider.
- `--model <pattern>`<br>
Selects by exact ID or fuzzy ID/name match. It accepts `provider/id` and an optional `:<thinking>` suffix.
- `--api-key <key>`<br>
Uses a non-persistent API-key override. It requires a model selected through `--model` or `--models`.
- `--thinking <level>`<br>
Sets `off`, `minimal`, `low`, `medium`, `high`, `xhigh`, or `max`. It overrides a `--model` suffix and is clamped to the model's capabilities.
- `--models <patterns>`<br>
Sets a comma-separated scope for startup and cycling. It accepts exact IDs, fuzzy matches, case-insensitive globs, and optional `:<thinking>` suffixes.
- `--list-models [search]`<br>
Lists available models, optionally filtered by a fuzzy search, then exits.
<a id="session-options"></a>
## Sessions
```sh
pi --continue
```
See [Sessions and Context](sessions.md) for resuming, forking, naming, and storing sessions.
- `-c`, `--continue`<br>
Continues the most recent session for the current project.
- `-r`, `--resume`<br>
Opens the session selector.
- `--session <path|id>`<br>
Opens by file path, exact ID, or partial ID. Pi searches the current project first and offers to fork a cross-project match.
- `--session-id <id>`<br>
Opens the exact project session ID or creates it if absent. IDs accept letters, numbers, `.`, `_`, and `-`.
- `--fork <path|id>`<br>
Forks an existing session into a new session for the current project.
- `--session-dir <dir>`<br>
Overrides storage and lookup. It takes precedence over `PI_CODING_AGENT_SESSION_DIR` and the `sessionDir` setting.
- `--no-session`<br>
Uses an in-memory session that is not persisted.
- `-n`, `--name <name>`<br>
Sets the session display name.
Constraints:
- Session IDs must start and end with a letter or number.
- `--fork` cannot be combined with `--session`, `--continue`, `--resume`, or `--no-session`.
- `--session-id` cannot be combined with `--session`, `--continue`, or `--resume`. Combine it with `--fork` to choose the new ID.
<a id="tool-options"></a>
## Tools
```sh
pi --tools read,grep,find,ls --print "Review this project"
```
See [Settings](settings.md#tools) for configuring the default tool selection.
- `-t`, `--tools <list>`<br>
Replaces the default selection with a comma-separated allowlist of built-in, extension, or custom tools.
- `-xt`, `--exclude-tools <list>`<br>
Disables comma-separated tool names after all other selection options.
- `-nbt`, `--no-builtin-tools`<br>
Disables default built-in tools while retaining extension and custom tools.
- `-nt`, `--no-tools`<br>
Starts with all built-in, extension, and custom tools disabled.
Default enabled tools are `read`, `bash`, `edit`, and `write`, unless `defaultTools` changes them.
| Built-in | Purpose |
|---|---|
| `read` | Read text files and supported images |
| `bash` | Run shell commands |
| `powershell` | Run PowerShell commands on Windows |
| `edit` | Apply exact text replacements to an existing file |
| `write` | Create or overwrite a file |
| `grep` | Search file contents |
| `find` | Find paths using glob patterns |
| `ls` | List directory contents |
<a id="resource-options"></a>
## Resources
```sh
pi --extension ./review.ts
```
See [Configuration](configuration.md) for conventional directories and project trust, [Settings](settings.md#resources) for configured paths, and [Pi Packages](packages.md) for package sources.
- `-e`, `--extension <path>`<br>
Loads an extension file or directory and is repeatable.
- `-ne`, `--no-extensions`<br>
Disables discovered and configured extensions. Explicit `-e` paths still load.
- `--skill <path>`<br>
Loads a skill file or directory and is repeatable.
- `-ns`, `--no-skills`<br>
Disables discovered and configured skills. Explicit `--skill` paths still load.
- `--prompt-template <path>`<br>
Loads a prompt-template file or directory and is repeatable.
- `-np`, `--no-prompt-templates`<br>
Disables discovered and configured templates. Explicit `--prompt-template` paths still load.
- `--theme <path>`<br>
Loads a theme file or directory and is repeatable.
- `--use-theme <name[/name]>`<br>
Selects the initial interactive theme for this run.
- `--no-themes`<br>
Disables discovered and configured themes. Explicit `--theme` paths still load.
- `-nc`, `--no-context-files`<br>
Disables `AGENTS.md` and `CLAUDE.md` discovery.
Resource paths apply only to the current process. Relative paths resolve from the current working directory.
<a id="prompt-and-display-options"></a>
## Prompts and process
```sh
pi --append-system-prompt ./instructions.md
```
See [Configuration](configuration.md) for saved configuration, [Security](security.md#understand-project-trust) for project trust, and [Environment Variables](environment-variables.md) for process controls.
- `--system-prompt <text|path>`<br>
Replaces the default system prompt with text or the contents of an existing file.
- `--append-system-prompt <text|path>`<br>
Appends text or an existing file to the system prompt and is repeatable.
- `--tui-mode <mode>`<br>
Uses `regular` or `fullscreen` terminal mode.
- `--verbose`<br>
Shows verbose interactive startup information, overriding `quietStartup`.
- `-a`, `--approve`<br>
Trusts project-local configuration and resources for this process.
- `-na`, `--no-approve`<br>
Ignores trust-gated project-local configuration and resources for this process.
- `--offline`<br>
Disables automatic network activity, including model catalog refreshes. Equivalent to `PI_OFFLINE=1`.
- `-h`, `--help`<br>
Shows help, including flags registered by loaded extensions, then exits.
- `-v`, `--version`<br>
Shows the Pi version, then exits.
Extensions may register additional long-form options. Unknown short options are rejected.
## Package commands
```sh
pi install npm:@scope/package
```
See [Pi Packages](packages.md) for source formats, filtering, installation, and project scope.
### Common tasks
| Task | Command |
|---|---|
| Install a package | `pi install <source>` |
| List configured packages | `pi list` |
| Remove a package and its settings entry | `pi remove <source>` |
| Configure which package resources load | `pi config` |
Add `--local` or `-l` to `install`, `remove`, `uninstall`, or `config` to use project settings instead of global settings.
### Update Pi or packages
Running `pi update` without a target updates Pi itself.
| Task | Command |
|---|---|
| Update Pi | `pi update` |
| Update all installed packages | `pi update --extensions` |
| Update one installed package | `pi update <source>` |
| Refresh model catalogs | `pi update --models` |
| Update Pi and all installed packages | `pi update --all` |
Add `--force` to reinstall Pi when the selected update includes Pi.
### Aliases and command options
- `pi uninstall <source>` is an alias for `pi remove <source>`.
- `pi update --self`, `pi update self`, and `pi update pi` are aliases for `pi update`.
- `pi update --extension <source>` is an alias for `pi update <source>`.
- `-a`, `--approve` trusts project-local files for one command. `-na`, `--no-approve` ignores trust-gated project-local files.
- Append `-h` or `--help` to a command for its exact usage and option constraints.
## Credential commands
```sh
pi auth check --provider openai --json
```
Authentication commands require `--provider <provider>` or `--model <model>`. See [Provider Authentication](providers.md) for supported methods.
| Command | Description |
|---|---|
| `pi auth check` | Print `ready`, `not_ready`, or `invalid`; exit with status `0`, `1`, or `2`, respectively |
| `pi auth print-api-key` | Print the resolved API key |
| `pi auth print-bearer-token` | Print a resolved OAuth bearer token |
| Option | Applies to | Description |
|---|---|---|
| `--provider <provider>` | All | Resolve credentials for a provider |
| `--model <model>` | All | Resolve credentials from a model; may be combined with `--provider` |
| `--json` | `auth check` | Write the structured result as JSON |
| `--credentials` | `auth check` | Emit the resolved credential when ready |
| `--no-refresh` | `auth check` | Do not refresh expired OAuth credentials; refresh is the default |
| `--min-expiry <duration>` | `print-bearer-token` | Require remaining token lifetime using `ms`, `s`, `m`, or `h`, such as `30m` |
Credential-printing commands write secrets to stdout.
packages/coding-agent/docs/compaction.md
+22 -22
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@@ -1,6 +1,6 @@
# Compaction & Branch Summarization
# Compaction Reference
LLMs have limited context windows. When conversations grow too long, Pi uses compaction to summarize older content while preserving recent work. This page covers both auto-compaction and branch summarization.
This reference describes automatic compaction, branch summarization, persisted entries, and extension hooks. For the user workflow, see [Sessions and Context](sessions.md#manage-conversation-context).
**Source files** ([pi](https://github.com/earendil-works/pi)):
- [`packages/coding-agent/src/core/compaction/compaction.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/compaction/compaction.ts) - Auto-compaction logic
@@ -20,7 +20,7 @@ Pi has two summarization mechanisms:
| Compaction | Context exceeds threshold, or `/compact` | Summarize old messages to free up context |
| Branch summarization | `/tree` navigation | Preserve context when switching branches |
Both use the same structured summary format and track file operations cumulatively. Compaction and branch-summary requests use fresh routing session IDs and, where supported by the provider, disable prompt-cache writes because these one-off prompts are unlikely to be reused.
Both use closely related structured formats and track file operations cumulatively. Summarization requests disable prompt-cache writes because these one-off prompts are unlikely to be reused.
## Compaction
@@ -97,14 +97,14 @@ persist final assistant response
If recovery compaction fails or is cancelled, Pi keeps the omission edits, appends no compaction, and schedules no internal retry. Existing queued work remains governed by ordinary steering and follow-up rules. `agent_before_settle` sees the repaired projection after recovery processing. Raw transcript history, exports, billing totals, and history-search extensions can still inspect the omitted attempt.
### Split Turns
### Split user-message spans
A "turn" starts with a user message and includes all assistant responses and tool calls until the next user message. Normally, compaction cuts at turn boundaries.
A user-message span starts with a user message and includes all turns until the next user message. Normally, compaction cuts at user-message boundaries.
When a single turn exceeds `keepRecentTokens`, the cut point lands mid-turn at an assistant message. This is a "split turn":
When one user-message span exceeds `keepRecentTokens`, the cut point lands within that span at an assistant message. This is a split user-message span:
```
Split turn (one huge turn exceeds budget):
Split user-message span (one span exceeds budget):
entry: 0 1 2 3 4 5 6 7 8
┌─────┬─────┬─────┬──────┬─────┬──────┬──────┬─────┬──────┐
@@ -117,13 +117,13 @@ Split turn (one huge turn exceeds budget):
└── kept (7-8)
isSplitTurn = true
messagesToSummarize = [] (no complete turns before)
messagesToSummarize = [] (no earlier user-message spans)
turnPrefixMessages = [usr, ass, tool, ass, tool, tool]
```
For split turns, Pi generates two summaries and merges them:
For split user-message spans, Pi generates two summaries and merges them:
1. **History summary**: Previous context (if any)
2. **Turn prefix summary**: The early part of the split turn
2. **User-message-span prefix summary**: The early part of the split user-message span
### Cut Point Rules
@@ -145,8 +145,8 @@ Defined in [`session-manager.ts`](https://github.com/earendil-works/pi/blob/main
interface CompactionEntry<T = unknown> {
type: "compaction";
id: string;
parentId: string;
timestamp: number;
parentId: string | null;
timestamp: string;
summary: string;
firstKeptEntryId: string;
tokensBefore: number;
@@ -199,11 +199,9 @@ After navigation with summary:
### Cumulative File Tracking
Both compaction and branch summarization track files cumulatively. When generating a summary, pi extracts file operations from:
- Tool calls in the messages being summarized
- Previous compaction or branch summary `details` (if any)
Default compaction and branch summarization track files cumulatively. Both extract file operations from tool calls in the messages being summarized. Compaction also carries file lists from the previous Pi-generated compaction. Branch summarization carries file lists from Pi-generated branch summaries in the entries it summarizes.
This means file tracking accumulates across multiple compactions or nested branch summaries, preserving the full history of read and modified files.
File tracking therefore accumulates across default compactions and nested default branch summaries. Pi does not automatically carry file lists from extension-generated summaries whose `fromHook` field is `true`; extensions manage their own `details` format.
### BranchSummaryEntry Structure
@@ -213,8 +211,8 @@ Defined in [`session-manager.ts`](https://github.com/earendil-works/pi/blob/main
interface BranchSummaryEntry<T = unknown> {
type: "branch_summary";
id: string;
parentId: string;
timestamp: number;
parentId: string | null;
timestamp: string;
summary: string;
fromId: string; // Entry we navigated from
usage?: Usage; // LLM usage that generated the summary
@@ -235,7 +233,9 @@ See [`collectEntriesForBranchSummary()`](https://github.com/earendil-works/pi/bl
## Summary Format
Both compaction and branch summarization use the same structured format:
Both formats include Goal, Constraints & Preferences, Progress, Key Decisions, and Next Steps. Compaction summaries also include Critical Context. Branch summaries stop after Next Steps. Pi appends file lists to either format when relevant.
Compaction summaries use this format:
```markdown
## Goal
@@ -302,7 +302,7 @@ pi.on("session_before_compact", async (event, ctx) => {
const { preparation, branchEntries, customInstructions, reason, willRetry, signal } = event;
// preparation.messagesToSummarize - messages to summarize
// preparation.turnPrefixMessages - split turn prefix (if isSplitTurn)
// preparation.turnPrefixMessages - user-message-span prefix (if isSplitTurn)
// preparation.previousSummary - previous compaction summary
// preparation.fileOps - extracted file operations
// preparation.tokensBefore - context tokens before compaction
@@ -376,7 +376,7 @@ pi.on("session_compact_failed", async (event, ctx) => {
const { reason, errorMessage, aborted, willRetry, fromExtension } = event;
// reason - "manual" (/compact), "threshold", or "overflow"
// errorMessage - present for non-abort failures
// aborted - true for cancelled/aborted compactions
// aborted - true for canceled/aborted compactions
// willRetry - whether the aborted turn would have retried after compaction
// fromExtension - whether extension-provided compaction content was being used
});
@@ -460,4 +460,4 @@ Keys are exact, case-sensitive `provider/modelId` values, including any slashes
These resolved values are used for manual compaction, all automatic threshold checks, overflow recovery, and extension-visible `preparation.settings`. Model switches affect subsequent checks and compactions without changing ordinary settings. Compaction already in progress uses the model and settings captured for that operation. Branch summarization settings are unaffected.
Overrides work in both global and project settings. The files merge recursively before lookup, so a global model-specific value beats a project-wide fallback; a project must override that model entry to change it. See [settings.md](settings.md#per-model-compaction-overrides) for details.
Overrides work in both global and project settings. The files merge recursively before lookup, so a global model-specific value beats a project-wide fallback; a project must override that model entry to change it. See [Settings](settings.md#per-model-compaction-overrides) for details.
packages/coding-agent/docs/configuration.md
+45
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@@ -0,0 +1,45 @@
# Configuration
Pi supports user-level and project configuration. User-level configuration lives in the agent directory, which defaults to `~/.pi/agent`. Project configuration lives in `.pi` under the working directory and loads after [project trust](security.md#understand-project-trust) is granted. The only exception is `sessionDir`, which Pi reads before resolving trust so it can locate sessions.
In interactive mode, use `/settings` to change common preferences. For other options, ask Pi to update the configuration or edit the relevant files directly. Run `/reload` after manually changing settings, keybindings, instructions, or resources.
## Agent directory
The agent directory is shown as `<agent-dir>` below. Set its location with the `PI_CODING_AGENT_DIR` environment variable or the SDK's [`agentDir`](sdk.md) option.
| Path | Responsibility |
|---|---|
| `<agent-dir>/settings.json` | User-level [settings](settings.md), including preferences, defaults, resource paths, and Pi package declarations. |
| `<agent-dir>/keybindings.json` | Custom terminal UI and application [keybindings](keybindings.md). |
| `<agent-dir>/models.json` | [Compatible endpoints, models, and model overrides](models.md#configure-a-compatible-endpoint). |
| `<agent-dir>/auth.json` | Saved API keys and OAuth credentials. |
| `<agent-dir>/AGENTS.override.md`, `AGENTS.md`, `AGENTS.MD`, `CLAUDE.md`, or `CLAUDE.MD` | User instructions applied across working directories. |
| `<agent-dir>/SYSTEM.md` | Replaces Pi’s default system prompt. |
| `<agent-dir>/APPEND_SYSTEM.md` | Adds instructions to Pi’s system prompt. |
| `<agent-dir>/extensions/` | User [extensions](extensions.md). |
| `<agent-dir>/skills/` | User [skills](skills.md) and supporting files. |
| `<agent-dir>/prompts/` | User [prompt templates](prompt-templates.md) exposed as slash commands. |
| `<agent-dir>/themes/` | User [theme](themes.md) files. |
## Project `.pi` directory
| Path | Responsibility |
|---|---|
| `.pi/settings.json` | Project-level [settings](settings.md), resource paths, and Pi package declarations. |
| `.pi/SYSTEM.md` | Replaces the system prompt for the project. |
| `.pi/APPEND_SYSTEM.md` | Adds project-specific instructions to the system prompt. |
| `.pi/extensions/` | Project extensions. |
| `.pi/skills/` | Project skills and supporting files. |
| `.pi/prompts/` | Project prompt templates exposed as slash commands. |
| `.pi/themes/` | Project theme files. |
For `SYSTEM.md` and `APPEND_SYSTEM.md`, the trusted project file takes precedence over the corresponding agent-directory file. Files with the same name are not combined.
## Context files
Context files are separate from project `.pi` configuration. Pi loads them from the agent directory, the working directory, and its parent directories. A context file applies whenever Pi runs in its directory or anywhere below it.
An `AGENTS.override.md` replaces `AGENTS.md` or `CLAUDE.md` only in the same directory. It does not suppress context files from the agent directory or other directories.
Context-file discovery does not require project trust.
packages/coding-agent/docs/containerization.md
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@@ -1,53 +1,39 @@
# Containerization
# Run Pi in an isolated environment
Pi runs with all permissions by default, but in some cases, you will want to have more control over what directories Pi can write to and which accesses it has.
Use an isolated environment to limit the files, credentials, processes, and network services that generated commands can access or affect.
There are two general options. You can either
1. run the whole `pi` process inside an isolated environment, or
2. run `pi` on the host and route tool execution into an isolated environment.
You can isolate the complete Pi process or keep Pi on the host and route selected tools into an isolated environment.
## Choose a pattern
## Choose an isolation method
| Pattern | What is isolated | Best for | Notes |
| --- | --- | --- | --- |
| Gondolin extension | Built-in tools and `!` commands | Local micro-VM isolation while keeping auth on host | See [`examples/extensions/gondolin/`](../examples/extensions/gondolin/). |
| Plain Docker | Whole `pi` process in a local container | Simple local isolation | Provider API keys enter the container. |
| OpenShell | Whole `pi` process in a policy-controlled sandbox | Local or remote managed sandbox | Requires an OpenShell gateway |
| Docker Sandboxes | Whole `pi` process in a managed sandbox | Local isolation with provider keys kept on the host | Requires Docker Sandboxes (`sbx`). |
| Method | Where Pi runs | What is isolated | Credential handling | Best for |
|---|---|---|---|---|
| Plain Docker | Container | Pi, built-in tools, `!` commands, and extensions | Credentials passed into the container | A straightforward local container boundary |
| Docker Sandboxes | Managed sandbox | Pi, built-in tools, `!` commands, and extensions | Provider credentials remain on the host and are substituted by the proxy | Managed local isolation without exposing the real provider key |
| OpenShell | Local or remote sandbox | Pi, built-in tools, `!` commands, and extensions | Policy-controlled credentials and inference routing | Filesystem, process, network, and credential policies |
| Gondolin extension | Host | Built-in tools and `!` commands | Stored Pi credentials remain on the host, but commands inherit host environment variables | A local micro-VM for tool execution while retaining the host interface |
Extensions run wherever the `pi` process runs. If you run host `pi` with a tool-routing extension, other custom extension tools still run on the host unless they also delegate their operations.
The method changes where extensions run. When the complete Pi process runs inside an isolated environment, its extensions run there too. When host Pi delegates built-in tools through Gondolin, other extension tools still run on the host unless they also delegate their work.
## Gondolin
## Decide what Pi can access
[Gondolin](https://github.com/earendil-works/gondolin) is a local Linux micro-VM.
Use the [example extension](../examples/extensions/gondolin) when you want `pi` on the host but all built-in tools routed into the VM.
An isolated process can still affect resources you expose to it:
Setup:
- A read-write host mount lets Pi modify those host files.
- Mounting `~/.pi/agent` exposes your Pi credentials, settings, extensions, and sessions.
- Environment variables passed into a container are available to processes inside it.
- Network access may allow code or tool output to leave the environment.
- Tool-only isolation does not constrain the host Pi process or extension tools that do not use the isolated backend.
```bash
cp -R packages/coding-agent/examples/extensions/gondolin ~/.pi/agent/extensions/gondolin
cd ~/.pi/agent/extensions/gondolin
npm install --ignore-scripts
```
Expose only the working folder, credentials, and network destinations needed for the task. Use read-only mounts or copy files into and out of the environment when you do not want writes to affect the host.
Run from the project you want mounted:
## Run Pi in plain Docker
```bash
cd /path/to/project
pi -e ~/.pi/agent/extensions/gondolin
```
Plain Docker provides the simplest whole-process container boundary.
The extension mounts the host cwd at `/workspace` in the VM and overrides `read`, `write`, `edit`, `bash`, `grep`, `find`, and `ls`.
User `!` commands are routed into the VM, as well.
File changes under `/workspace` write through to the host.
### Build the image
Requirements: Node.js >= 23.6.0 for `@earendil-works/gondolin`, plus QEMU (requires installation through your package manager).
## Plain Docker
Run the whole `pi` process in Docker when you want the simplest local container boundary.
`Dockerfile.pi`:
Create `Dockerfile.pi`:
```dockerfile
FROM node:24-bookworm-slim
@@ -61,11 +47,17 @@ WORKDIR /workspace
ENTRYPOINT ["pi"]
```
Build and run:
Build it from the directory containing the file:
```bash
docker build -t pi-sandbox -f Dockerfile.pi .
```
### Start Pi
From the working folder you want Pi to access, run:
```bash
docker run --rm -it \
-e ANTHROPIC_API_KEY \
-v "$PWD:/workspace" \
@@ -73,56 +65,29 @@ docker run --rm -it \
pi-sandbox
```
The `-v "$PWD:/workspace"` mounts your current directory into the container at /workspace such that reads and writes in `/workspace` inside Docker directly affect your host files, like in the Gondolin example.
Replace `ANTHROPIC_API_KEY` with the credential required by your provider. The named `pi-agent-home` volume keeps container-local settings, credentials, and sessions between runs.
Use a named volume for `/root/.pi/agent` if you want container-local settings and sessions. Mounting your host `~/.pi/agent` exposes host auth and session files to the container.
Do not mount the host's `~/.pi/agent` unless the container should have access to your host Pi configuration and credentials.
## OpenShell
### Verify the workspace
Use [NVIDIA OpenShell](https://docs.nvidia.com/openshell/about/overview) when you want a policy-controlled sandbox with filesystem, process, network, credential, and inference controls.
OpenShell can run sandboxes through a local gateway backed by Docker, Podman, or a VM runtime, or through a remote Kubernetes gateway.
Inside Pi, run:
Every sandbox requires an active gateway.
Register and select one before creating a sandbox:
```bash
openshell gateway add <gateway-url> --name <name>
openshell gateway select <name>
```text
!pwd
```
Launch `pi` inside an OpenShell sandbox:
The command should report `/workspace`. Changes under `/workspace` write through to the mounted host folder. Remove the bind mount or use a read-only mount when that is not acceptable.
```bash
openshell sandbox create --name pi-sandbox --from pi -- pi
```
## Run Pi with Docker Sandboxes
In this pattern, the whole `pi` process runs inside the sandbox.
Built-in tools, `!` commands, and extension tools execute inside the OpenShell boundary.
[Docker Sandboxes](https://docs.docker.com/ai/sandboxes/) runs the complete Pi process inside a managed sandbox. Its proxy can keep the real provider credential on the host and substitute it when requests leave the sandbox.
If the gateway is remote, project files are not bind-mounted from the host, meaning writes in the sandbox are not reflected on your machine.
Clone the repository inside the sandbox or use OpenShell file transfer commands:
Configure credentials before creating the sandbox. Do not run `/login` inside the sandbox because that writes a real credential into it.
```bash
openshell sandbox upload pi-sandbox ./repo /workspace
openshell sandbox download pi-sandbox /workspace/repo ./repo-out
```
### Use a Claude Pro or Max token
OpenShell providers can keep raw model API keys outside the sandbox.
When inference routing is configured, code inside the sandbox can call `https://inference.local`, and the gateway injects the configured provider credentials upstream.
Configure Pi to use the corresponding OpenAI-compatible or Anthropic-compatible endpoint if you want model traffic to use this route.
## Docker Sandboxes
[Docker Sandboxes](https://docs.docker.com/ai/sandboxes/) is a managed sandbox runtime from Docker that runs the whole `pi` process inside a sandbox.
It is one of the container boundaries [No Built-in Sandbox](security.md#no-built-in-sandbox) points to.
Unlike the Plain Docker pattern above, the provider credential is not passed into the container.
The sandbox receives a sentinel value instead, and the `sbx` proxy substitutes the real credential on egress to `api.anthropic.com`.
Credentials are wired at creation time, so store yours on the host before you create the sandbox.
For a Claude Pro/Max subscription, run `claude setup-token` on a machine with Claude Code, then store the result on the host.
If an `anthropic` secret is already bound, remove it first: otherwise the proxy adds an `x-api-key` header alongside the Bearer token and Anthropic rejects the request.
`sbx secret set-custom` reads the token from stdin, so it stays out of shell history.
Generate the token with `claude setup-token` on a machine with Claude Code. If an `anthropic` secret is already configured, remove it first so the proxy does not add an API-key header alongside the bearer token:
```bash
sbx secret rm anthropic
@@ -133,24 +98,86 @@ sbx secret set-custom \
--placeholder 'sk-ant-oat01-{rand}'
```
The sandbox gets an OAuth-shaped placeholder, not the real token, and the proxy swaps it on egress to that host; `ANTHROPIC_OAUTH_TOKEN` is a variable pi already reads and prefers over an API key, so no extra pi configuration is needed.
`sbx secret set-custom` reads the real token from standard input. The sandbox receives an OAuth-shaped placeholder, which the proxy replaces only for requests to the configured host.
For an API key, store it with `sbx secret set anthropic` instead. The kit wires it the same way, as a sentinel the proxy substitutes on egress.
For an Anthropic API key, use `sbx secret set anthropic` instead.
With the credential stored, launch `pi` from the project you want mounted:
### Start Pi
Run this from the working folder you want mounted:
```bash
sbx run --kit "docker.io/sbx/pi-kit:latest" pi
```
The kit pre-bakes `pi` into its image, so the sandbox starts without installing anything, and the current directory is the sandbox workspace.
Do not authenticate from inside the sandbox: `/login` there writes a real token into the container and defeats the proxy model.
Scripted use works the same way:
For an existing sandbox, run Pi non-interactively with:
```bash
sbx exec <sandbox-name> -- pi -p "list the failing tests"
```
See the [kit documentation](https://github.com/docker/sbx-kits-contrib/tree/main/pi) for the full credential matrix, troubleshooting, and pinning.
See the [Pi kit documentation](https://github.com/docker/sbx-kits-contrib/tree/main/pi) for other providers, troubleshooting, and image pinning.
## Run Pi with OpenShell
[NVIDIA OpenShell](https://docs.nvidia.com/openshell/about/overview) provides local or remote sandboxes with filesystem, process, network, credential, and inference policies.
### Select a gateway
Every sandbox requires an active gateway:
```bash
openshell gateway add <gateway-url> --name <name>
openshell gateway select <name>
```
### Create the sandbox
```bash
openshell sandbox create --name pi-sandbox --from pi -- pi
```
Pi, its built-in tools, `!` commands, and extension tools run inside the OpenShell boundary.
### Transfer files to a remote sandbox
A remote gateway does not bind-mount your host working folder. Clone the repository inside the sandbox or transfer files explicitly:
```bash
openshell sandbox upload pi-sandbox ./working-folder /workspace
openshell sandbox download pi-sandbox /workspace/working-folder ./working-folder-out
```
OpenShell inference routing can keep raw model credentials outside the sandbox. When configured, point Pi at the corresponding OpenAI-compatible or Anthropic-compatible endpoint exposed by the gateway.
## Route tools through Gondolin
[Gondolin](https://github.com/earendil-works/gondolin) is a local Linux micro-VM. Its example extension keeps the Pi process and file-based provider credentials on the host while routing the built-in tools and user `!` commands into the VM.
Commands inside the VM inherit the host process environment. Provider keys supplied through environment variables can therefore be visible inside the VM. Do not use this pattern as a credential boundary unless you remove sensitive variables or change the extension's environment handling.
Gondolin requires Node.js 23.6 or newer and QEMU installed through your operating-system package manager.
### Install the extension
From a Pi source checkout:
```bash
mkdir -p ~/.pi/agent/extensions
cp -R packages/coding-agent/examples/extensions/gondolin ~/.pi/agent/extensions/gondolin
cd ~/.pi/agent/extensions/gondolin
npm install --ignore-scripts
```
### Start Pi
Run Pi from the working folder you want mounted:
```bash
cd /path/to/working-folder
pi -e ~/.pi/agent/extensions/gondolin
```
The extension mounts the host working folder at `/workspace` in the VM and overrides `read`, `write`, `edit`, `bash`, `grep`, `find`, and `ls`. File changes under `/workspace` write through to the host.
Other extension tools still run on the host unless they explicitly delegate their operations. Review the [Gondolin example](../examples/extensions/gondolin/) before adding tools that could bypass the VM boundary.
packages/coding-agent/docs/custom-provider.md
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@@ -1,786 +1,134 @@
# Custom Providers
Extensions can register custom model providers via `pi.registerProvider()`. This enables:
- **Proxies** - Route requests through corporate proxies or API gateways
- **Custom endpoints** - Use self-hosted or private model deployments
- **OAuth/SSO** - Add authentication flows for enterprise providers
- **Custom APIs** - Implement streaming for non-standard LLM APIs
## Example Extensions
See these complete provider examples:
- [`examples/extensions/custom-provider-anthropic/`](../examples/extensions/custom-provider-anthropic/)
- [`examples/extensions/custom-provider-gitlab-duo/`](../examples/extensions/custom-provider-gitlab-duo/)
## Table of Contents
- [Example Extensions](#example-extensions)
- [Quick Reference](#quick-reference)
- [Override Existing Provider](#override-existing-provider)
- [Register New Provider](#register-new-provider)
- [Unregister Provider](#unregister-provider)
- [OAuth Support](#oauth-support)
- [Custom Streaming API](#custom-streaming-api)
- [Context Overflow Errors](#context-overflow-errors)
- [Testing Your Implementation](#testing-your-implementation)
- [Config Reference](#config-reference)
- [Model Definition Reference](#model-definition-reference)
## Quick Reference
Extensions can register either a complete pi-ai `Provider` or use the legacy provider-config form. Prefer a complete provider when custom authentication, filtering, refresh, or streaming behavior is required. Pi composes `models.json` overrides above registered native providers.
```typescript
import { createProvider, openAICompletionsApi } from "@earendil-works/pi-ai";
import type { ExtensionAPI } from "@earendil-works/pi-coding-agent";
export default function (pi: ExtensionAPI) {
pi.registerProvider(createProvider({
id: "native-local",
name: "Native Local",
baseUrl: "http://localhost:8080/v1",
auth: {
apiKey: {
name: "Local server API key",
async login(interaction) {
return {
type: "api_key",
key: await interaction.prompt({ type: "secret", message: "API key" })
};
},
async resolve({ credential }) {
return credential?.key
? { auth: { apiKey: credential.key }, source: "stored API key" }
: undefined;
}
}
},
models: [],
api: openAICompletionsApi()
}));
// Legacy provider-config form:
// Override baseUrl for existing provider
pi.registerProvider("anthropic", {
baseUrl: "https://proxy.example.com"
});
// Register new provider with models
pi.registerProvider("my-provider", {
name: "My Provider",
baseUrl: "https://api.example.com",
apiKey: "$MY_API_KEY",
api: "openai-completions",
models: [
{
id: "my-model",
name: "My Model",
reasoning: false,
input: ["text", "image"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: 128000,
maxTokens: 4096
}
]
});
}
```
The extension factory can also be `async`. For dynamic model discovery, fetch and register models in the factory instead of `session_start`. pi waits for the factory before startup continues, so the provider is available during interactive startup and to `pi --list-models`.
## Override Existing Provider
The simplest use case: redirect an existing provider through a proxy.
```typescript
// All Anthropic requests now go through your proxy
pi.registerProvider("anthropic", {
baseUrl: "https://proxy.example.com"
});
// Add custom headers to OpenAI requests
pi.registerProvider("openai", {
headers: {
"X-Custom-Header": "value"
}
});
// Both baseUrl and headers
pi.registerProvider("google", {
baseUrl: "https://ai-gateway.corp.com/google",
headers: {
"X-Corp-Auth": "$CORP_AUTH_TOKEN" // env var or literal
}
});
```
When only `baseUrl` and/or `headers` are provided (no `models`), all existing models for that provider are preserved with the new endpoint.
## Register New Provider
To add a completely new provider, specify `models` along with the required configuration.
If the model list comes from a remote endpoint, use an async extension factory:
```typescript
import type { ExtensionAPI } from "@earendil-works/pi-coding-agent";
export default async function (pi: ExtensionAPI) {
const response = await fetch("http://localhost:1234/v1/models");
const payload = (await response.json()) as {
data: Array<{
id: string;
name?: string;
context_window?: number;
max_tokens?: number;
}>;
};
pi.registerProvider("local-openai", {
baseUrl: "http://localhost:1234/v1",
apiKey: "$LOCAL_OPENAI_API_KEY",
api: "openai-completions",
models: payload.data.map((model) => ({
id: model.id,
name: model.name ?? model.id,
reasoning: false,
input: ["text"],
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
contextWindow: model.context_window ?? 128000,
maxTokens: model.max_tokens ?? 4096,
})),
});
}
```
This registers the fetched models before startup finishes.
```typescript
pi.registerProvider("my-llm", {
baseUrl: "https://api.my-llm.com/v1",
apiKey: "$MY_LLM_API_KEY", // env var reference
api: "openai-completions", // which streaming API to use
models: [
{
id: "my-llm-large",
name: "My LLM Large",
reasoning: true, // supports extended thinking
input: ["text", "image"],
cost: {
input: 3.0, // $/million tokens
output: 15.0,
cacheRead: 0.3,
cacheWrite: 3.75
},
contextWindow: 200000,
maxTokens: 16384
}
]
});
```
When `models` is provided, it **replaces** all existing models for that provider.
`apiKey` and custom header values use the same config value syntax as `models.json`: `!command` at the start executes a command for the whole value, `$ENV_VAR` and `${ENV_VAR}` interpolate environment variables, `$$` emits a literal `$`, and `$!` emits a literal `!`.
## Unregister Provider
Use `pi.unregisterProvider(name)` to remove a provider that was previously registered via `pi.registerProvider(name, ...)`:
```typescript
// Register
pi.registerProvider("my-llm", {
baseUrl: "https://api.my-llm.com/v1",
apiKey: "$MY_LLM_API_KEY",
api: "openai-completions",
models: [
{
id: "my-llm-large",
name: "My LLM Large",
reasoning: true,
input: ["text", "image"],
cost: { input: 3.0, output: 15.0, cacheRead: 0.3, cacheWrite: 3.75 },
contextWindow: 200000,
maxTokens: 16384
}
]
});
// Later, remove it
pi.unregisterProvider("my-llm");
```
Unregistering removes that provider's dynamic models, API key fallback, OAuth provider registration, and custom stream handler registrations. Any built-in models or provider behavior that were overridden are restored.
Calls made after the initial extension load phase are applied immediately, so no `/reload` is required.
### API Types
The `api` field determines which streaming implementation is used:
| API | Use for |
|-----|---------|
| `anthropic-messages` | Anthropic Claude API and compatibles |
| `openai-completions` | OpenAI Chat Completions API and compatibles |
| `openai-responses` | OpenAI Responses API |
| `azure-openai-responses` | Azure OpenAI Responses API |
| `openai-codex-responses` | OpenAI Codex Responses API |
| `mistral-conversations` | Native Mistral Chat Completions streaming |
| `google-generative-ai` | Google Generative AI API |
| `google-vertex` | Google Vertex AI API |
| `bedrock-converse-stream` | Amazon Bedrock Converse API |
Most OpenAI-compatible providers work with `openai-completions`. Use model-level `thinkingLevelMap` for model-specific thinking levels, and `compat` for provider quirks. The `xhigh` and `max` levels are opt-in, require non-null map entries, and may be separated by unsupported holes:
```typescript
models: [{
id: "custom-model",
// ...
reasoning: true,
thinkingLevelMap: { // map pi levels to provider values; null hides unsupported levels
minimal: null,
low: null,
medium: null,
high: "default",
xhigh: null,
max: "max"
},
compat: {
supportsDeveloperRole: false, // use "system" instead of "developer"
supportsReasoningEffort: true,
maxTokensField: "max_tokens", // instead of "max_completion_tokens"
requiresToolResultName: true, // tool results need name field
thinkingFormat: "qwen", // top-level enable_thinking: true
cacheControlFormat: "anthropic" // Anthropic-style cache_control markers
}
}]
```
Use `openrouter` for OpenRouter-style `reasoning: { effort }` controls. Use `together` for Together-style `reasoning: { enabled }` controls; with `supportsReasoningEffort`, it also sends `reasoning_effort`. Use `qwen-chat-template` for local Qwen-compatible servers that read `chat_template_kwargs.enable_thinking` and need `preserve_thinking`.
Use `cacheControlFormat: "anthropic"` for OpenAI-compatible providers that expose Anthropic-style prompt caching via `cache_control` on the system prompt, last tool definition, and last user, assistant, or tool-result text content.
For Anthropic-compatible providers using `api: "anthropic-messages"`, set `compat.forceAdaptiveThinking: true` on models or providers whose upstream model requires adaptive thinking (`thinking.type: "adaptive"` plus `output_config.effort`). Built-in adaptive Claude models set this automatically. Set `compat.allowEmptySignature: true` only for providers that emit empty thinking signatures and expect `signature: ""` on replay.
> Migration note: Mistral moved from `openai-completions` to `mistral-conversations`.
> Use `mistral-conversations` for native Mistral models.
> If you intentionally route Mistral-compatible/custom endpoints through `openai-completions`, set `compat` flags explicitly as needed.
### Auth Header
If your provider expects `Authorization: Bearer <key>` but doesn't use a standard API, set `authHeader: true`:
```typescript
pi.registerProvider("custom-api", {
baseUrl: "https://api.example.com",
apiKey: "$MY_API_KEY",
authHeader: true, // adds Authorization: Bearer header
api: "openai-completions",
models: [...]
});
```
The key is resolved for each request. An explicit request `Authorization` header takes precedence over the generated value.
## OAuth Support
Add OAuth/SSO authentication that integrates with `/login`:
```typescript
import type { OAuthCredentials, OAuthLoginCallbacks } from "@earendil-works/pi-ai";
pi.registerProvider("corporate-ai", {
baseUrl: "https://ai.corp.com/v1",
api: "openai-responses",
models: [...],
oauth: {
name: "Corporate AI (SSO)",
async login(callbacks: OAuthLoginCallbacks): Promise<OAuthCredentials> {
const method = await callbacks.onSelect({
message: "Select login method:",
options: [
{ id: "browser", label: "Browser OAuth" },
{ id: "device", label: "Device code" }
]
});
if (!method) throw new Error("Login cancelled");
let code: string;
if (method === "device") {
callbacks.onDeviceCode({
userCode: "ABCD-1234",
verificationUri: "https://sso.corp.com/device",
intervalSeconds: 5,
expiresInSeconds: 900
});
code = await pollDeviceCodeUntilComplete();
} else {
callbacks.onAuth({ url: "https://sso.corp.com/authorize?..." });
code = await callbacks.onPrompt({ message: "Enter SSO code:" });
}
// Exchange for tokens (your implementation)
const tokens = await exchangeCodeForTokens(code);
return {
refresh: tokens.refreshToken,
access: tokens.accessToken,
expires: Date.now() + tokens.expiresIn * 1000
};
},
async refreshToken(credentials: OAuthCredentials, signal: AbortSignal): Promise<OAuthCredentials> {
const tokens = await refreshAccessToken(credentials.refresh, signal);
return {
refresh: tokens.refreshToken ?? credentials.refresh,
access: tokens.accessToken,
expires: Date.now() + tokens.expiresIn * 1000
};
},
getApiKey(credentials: OAuthCredentials): string {
return credentials.access;
}
}
});
```
After registration, users can authenticate via `/login corporate-ai`.
### OAuthLoginCallbacks
The `callbacks` object provides UI-neutral interactions for the provider-owned flow:
```typescript
interface OAuthLoginCallbacks {
// Open URL in browser (for OAuth redirects)
onAuth(params: { url: string }): void;
// Show device code (for device authorization flow)
onDeviceCode(params: {
userCode: string;
verificationUri: string;
intervalSeconds?: number;
expiresInSeconds?: number;
}): void;
// Show transient progress
onProgress?(message: string): void;
// Prompt user for input (for manual token entry)
onPrompt(params: { message: string }): Promise<string>;
// Show an interactive selector, e.g. to choose browser OAuth vs device code
onSelect(params: {
message: string;
options: { id: string; label: string }[];
}): Promise<string | undefined>;
}
```
### OAuthCredentials
Credentials are persisted in `~/.pi/agent/auth.json`:
```typescript
interface OAuthCredentials {
refresh: string; // Refresh token (for refreshToken())
access: string; // Access token (returned by getApiKey())
expires: number; // Expiration timestamp in milliseconds
}
```
## Custom Streaming API
For providers with non-standard APIs, implement `streamSimple`. Study the existing API implementations before writing your own:
**Reference implementations:**
- [anthropic-messages.ts](https://github.com/earendil-works/pi/blob/main/packages/ai/src/api/anthropic-messages.ts) - Anthropic Messages API
- [mistral-conversations.ts](https://github.com/earendil-works/pi/blob/main/packages/ai/src/api/mistral-conversations.ts) - Mistral Conversations API
- [openai-completions.ts](https://github.com/earendil-works/pi/blob/main/packages/ai/src/api/openai-completions.ts) - OpenAI Chat Completions
- [openai-responses.ts](https://github.com/earendil-works/pi/blob/main/packages/ai/src/api/openai-responses.ts) - OpenAI Responses API
- [google-generative-ai.ts](https://github.com/earendil-works/pi/blob/main/packages/ai/src/api/google-generative-ai.ts) - Google Generative AI
- [bedrock-converse-stream.ts](https://github.com/earendil-works/pi/blob/main/packages/ai/src/api/bedrock-converse-stream.ts) - AWS Bedrock
### Stream Pattern
All providers follow the same pattern. The context is a normalized transcript: the system prompt and tool declarations live in its system messages, so read them with `getCurrentSystemPrompt(context.messages)` and `getCurrentTools(context.messages)` rather than expecting `context.systemPrompt` or `context.tools`. Models that accept system messages mid-conversation can send them in place; otherwise call `collapseSystemMessages(context)` first to fold later system messages into the leading one.
```typescript
import {
type AssistantMessage,
type AssistantMessageEventStream,
type Model,
type SimpleStreamOptions,
type TranscriptContext,
calculateCost,
collapseSystemMessages,
createAssistantMessageEventStream,
getCurrentSystemPrompt,
getCurrentTools,
} from "@earendil-works/pi-ai";
function streamMyProvider(
model: Model<any>,
context: TranscriptContext,
options?: SimpleStreamOptions
): AssistantMessageEventStream {
const stream = createAssistantMessageEventStream();
const transcript = collapseSystemMessages(context);
const systemPrompt = getCurrentSystemPrompt(transcript.messages);
const tools = getCurrentTools(transcript.messages);
(async () => {
// Initialize output message
const output: AssistantMessage = {
role: "assistant",
content: [],
api: model.api,
provider: model.provider,
model: model.id,
usage: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
totalTokens: 0,
cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0, total: 0 },
},
stopReason: "pending",
timestamp: Date.now(),
};
try {
// Push start event
stream.push({ type: "start", partial: output });
// Make API request and process response...
// Push content events as they arrive and set stopReason from the terminal event.
if (output.stopReason === "pending") {
throw new Error("Provider stream ended without a stop reason");
}
if (output.stopReason === "error" || output.stopReason === "aborted") {
throw new Error(output.errorMessage || "An unknown error occurred");
}
// Push done event
stream.push({
type: "done",
reason: output.stopReason,
message: output
});
stream.end();
} catch (error) {
output.stopReason = options?.signal?.aborted ? "aborted" : "error";
output.errorMessage = error instanceof Error ? error.message : String(error);
stream.push({ type: "error", reason: output.stopReason, error: output });
stream.end();
}
})();
return stream;
}
```
### Event Types
Push events via `stream.push()` in this order:
1. `{ type: "start", partial: output }` - Stream started
2. Content events (repeatable, track `contentIndex` for each block):
- `{ type: "text_start", contentIndex, partial }` - Text block started
- `{ type: "text_delta", contentIndex, delta, partial }` - Text chunk
- `{ type: "text_end", contentIndex, content, partial }` - Text block ended
- `{ type: "thinking_start", contentIndex, partial }` - Thinking started
- `{ type: "thinking_delta", contentIndex, delta, partial }` - Thinking chunk
- `{ type: "thinking_end", contentIndex, content, partial }` - Thinking ended
- `{ type: "toolcall_start", contentIndex, partial }` - Tool call started
- `{ type: "toolcall_delta", contentIndex, delta, partial }` - Tool call JSON chunk
- `{ type: "toolcall_end", contentIndex, toolCall, partial }` - Tool call ended
3. `{ type: "done", reason, message }` or `{ type: "error", reason, error }` - Stream ended
The `partial` field in each event contains the current `AssistantMessage` state. Update `output.content` as you receive data, then include `output` as the `partial`.
### Content Blocks
Add content blocks to `output.content` as they arrive:
```typescript
// Text block
output.content.push({ type: "text", text: "" });
stream.push({ type: "text_start", contentIndex: output.content.length - 1, partial: output });
// As text arrives
const block = output.content[contentIndex];
if (block.type === "text") {
block.text += delta;
stream.push({ type: "text_delta", contentIndex, delta, partial: output });
}
// When block completes
stream.push({ type: "text_end", contentIndex, content: block.text, partial: output });
```
### Tool Calls
Tool calls require accumulating JSON and parsing:
```typescript
// Start tool call
output.content.push({
type: "toolCall",
id: toolCallId,
name: toolName,
arguments: {}
});
stream.push({ type: "toolcall_start", contentIndex: output.content.length - 1, partial: output });
// Accumulate JSON
let partialJson = "";
partialJson += jsonDelta;
try {
block.arguments = JSON.parse(partialJson);
} catch {}
stream.push({ type: "toolcall_delta", contentIndex, delta: jsonDelta, partial: output });
// Complete
stream.push({
type: "toolcall_end",
contentIndex,
toolCall: { type: "toolCall", id, name, arguments: block.arguments },
partial: output
});
```
### Usage and Cost
Update usage from API response and calculate cost:
```typescript
output.usage.input = response.usage.input_tokens;
output.usage.output = response.usage.output_tokens;
output.usage.cacheRead = response.usage.cache_read_tokens ?? 0;
output.usage.cacheWrite = response.usage.cache_write_tokens ?? 0;
output.usage.totalTokens = output.usage.input + output.usage.output +
output.usage.cacheRead + output.usage.cacheWrite;
calculateCost(model, output.usage);
```
### Context Overflow Errors
When a request exceeds the model's context window, pi can recover automatically by compacting the conversation and retrying. This recovery only kicks in if pi recognizes the failure as an overflow.
Detection runs on the finalized assistant message:
- `stopReason === "error"`
- `errorMessage` matches one of pi's known overflow patterns (see [`packages/ai/src/utils/overflow.ts`](https://github.com/earendil-works/pi/blob/main/packages/ai/src/utils/overflow.ts))
If your provider returns overflow errors with a message pi does not recognize, normalize the error from the same extension that registers the provider. Use a `message_end` handler to rewrite the assistant message so its `errorMessage` starts with a phrase pi recognizes. The generic fallback `context_length_exceeded` is the safest choice.
```typescript
const MY_PROVIDER_OVERFLOW_PATTERN = /your provider's overflow phrase/i;
export default function (pi: ExtensionAPI) {
pi.registerProvider("my-provider", { /* ... */ });
pi.on("message_end", (event, ctx) => {
const message = event.message;
if (message.role !== "assistant") return;
if (message.stopReason !== "error") return;
if (
message.provider !== "my-provider" &&
ctx.model?.provider !== "my-provider"
)
return;
const errorMessage = message.errorMessage ?? "";
if (errorMessage.includes("context_length_exceeded")) return;
if (!MY_PROVIDER_OVERFLOW_PATTERN.test(errorMessage)) return;
return {
message: {
...message,
errorMessage: `context_length_exceeded: ${errorMessage}`,
},
};
});
}
```
`message_end` runs before pi tracks the assistant message for auto-compaction, so the rewritten `errorMessage` is what pi checks. With this in place, pi will:
1. Detect the overflow from `errorMessage`.
2. Drop the failed assistant message from live context.
3. Run compaction.
4. Retry the request once.
Guard the rewrite carefully:
- Scope it to your provider (`message.provider` and `ctx.model?.provider`) so unrelated errors from other providers are untouched.
- Match a provider-specific pattern, not pi's generic overflow patterns. Rewriting rate-limit or throttling errors (`rate limit`, `too many requests`) would falsely trigger compaction instead of pi's normal retry-with-backoff path.
- Skip when `errorMessage` already includes `context_length_exceeded` so the handler is idempotent.
### Registration
Register your stream function:
```typescript
pi.registerProvider("my-provider", {
baseUrl: "https://api.example.com",
apiKey: "$MY_API_KEY",
api: "my-custom-api",
models: [...],
streamSimple: streamMyProvider
});
```
## Testing Your Implementation
Test your provider against the same test suites used by built-in providers. Copy and adapt these test files from [packages/ai/test/](https://github.com/earendil-works/pi/tree/main/packages/ai/test):
| Test | Purpose |
|------|---------|
| `stream.test.ts` | Basic streaming, text output |
| `tokens.test.ts` | Token counting and usage |
| `abort.test.ts` | AbortSignal handling |
| `empty.test.ts` | Empty/minimal responses |
| `context-overflow.test.ts` | Context window limits |
| `image-limits.test.ts` | Image input handling |
| `unicode-surrogate.test.ts` | Unicode edge cases |
| `tool-call-without-result.test.ts` | Tool call edge cases |
| `image-tool-result.test.ts` | Images in tool results |
| `total-tokens.test.ts` | Total token calculation |
| `cross-provider-handoff.test.ts` | Context handoff between providers |
Run tests with your provider/model pairs to verify compatibility.
## Config Reference
```typescript
interface ProviderConfig {
/** Display name for the provider in UI such as /login. */
name?: string;
/** API endpoint URL. Required when defining models. */
baseUrl?: string;
/** API key literal, env interpolation ($ENV_VAR or ${ENV_VAR}), or !command. Required when defining models (unless oauth). */
apiKey?: string;
/** API type for streaming. Required at provider or model level when defining models. */
api?: Api;
/** Custom streaming implementation for non-standard APIs. Receives a normalized transcript. */
streamSimple?: (
model: Model<Api>,
context: TranscriptContext,
options?: SimpleStreamOptions
) => AssistantMessageEventStream;
/** Custom headers to include in requests. Values use the same resolution syntax as apiKey. */
headers?: Record<string, string>;
/** If true, adds Authorization: Bearer header with the resolved API key. */
authHeader?: boolean;
/** Models to register. If provided, replaces all existing models for this provider. */
models?: ProviderModelConfig[];
/** OAuth provider for /login support. */
oauth?: {
name: string;
login(callbacks: OAuthLoginCallbacks): Promise<OAuthCredentials>;
refreshToken(credentials: OAuthCredentials, signal: AbortSignal): Promise<OAuthCredentials>;
getApiKey(credentials: OAuthCredentials): string;
};
}
```
## Model Definition Reference
```typescript
interface ProviderModelConfig {
/** Model ID (e.g., "claude-sonnet-4-20250514"). */
id: string;
/** Display name (e.g., "Claude 4 Sonnet"). */
name: string;
/** API type override for this specific model. */
api?: Api;
/** API endpoint URL override for this specific model. */
baseUrl?: string;
/** Whether the model supports extended thinking. */
reasoning: boolean;
/** Maps pi thinking levels to provider/model-specific values; null marks a level unsupported. */
thinkingLevelMap?: Partial<Record<"off" | "minimal" | "low" | "medium" | "high" | "xhigh" | "max", string | null>>;
/** Supported input types. */
input: ("text" | "image")[];
/** Cost per million tokens (for usage tracking). */
cost: {
input: number;
output: number;
cacheRead: number;
cacheWrite: number;
};
/** Best-effort prompt cache lifetime in seconds per retention tier. Unset disables cache warming. */
promptCache?: { short?: number; long?: number };
/** Maximum context window size in tokens. */
contextWindow: number;
/** Maximum output tokens. */
maxTokens: number;
/** Custom headers for this specific model. */
headers?: Record<string, string>;
/** Compatibility settings for the selected API. */
compat?: {
// openai-completions
supportsStore?: boolean;
supportsDeveloperRole?: boolean;
supportsReasoningEffort?: boolean;
supportsUsageInStreaming?: boolean;
supportsFinishReason?: boolean;
supportsStrictMode?: boolean;
supportsOpenAIGrammarTools?: boolean; // openai-completions/openai-responses; false falls back to normal function tools
maxTokensField?: "max_completion_tokens" | "max_tokens";
requiresToolResultName?: boolean;
requiresAssistantAfterToolResult?: boolean;
requiresThinkingAsText?: boolean;
requiresReasoningContentOnAssistantMessages?: boolean;
thinkingFormat?: "openai" | "openrouter" | "deepseek" | "together" | "baseten" | "zai" | "qwen" | "chat-template" | "qwen-chat-template" | "string-thinking" | "ant-ling";
chatTemplateKwargs?: Record<string, string | number | boolean | null | { "$var": "thinking.enabled" | "thinking.effort" | "thinking.budget"; omitWhenOff?: boolean }>;
chatTemplateArgs?: Record<string, string | number | boolean | null | { "$var": "thinking.enabled" | "thinking.effort" | "thinking.budget"; omitWhenOff?: boolean }>;
thinkingTokenBudgetField?: "thinking_token_budget" | "thinking_budget" | "thinking_budget_tokens";
supportsThinkingTokenBudget?: boolean;
cacheControlFormat?: "anthropic";
sessionAffinityFormat?: "openai" | "openai-nosession" | "openrouter";
sendSessionAffinityHeaders?: boolean;
// anthropic-messages
supportsEagerToolInputStreaming?: boolean;
supportsLongCacheRetention?: boolean;
sendSessionAffinityHeaders?: boolean;
supportsCacheControlOnTools?: boolean;
forceAdaptiveThinking?: boolean;
allowEmptySignature?: boolean;
supportsStrictTools?: boolean;
};
}
```
`openrouter` sends `reasoning: { effort }`. `deepseek` sends `thinking: { type: "enabled" | "disabled" }` and `reasoning_effort` when enabled. `together` sends `reasoning: { enabled }` and also `reasoning_effort` when `supportsReasoningEffort` is enabled. `qwen` is for DashScope-style top-level `enable_thinking`. Use `qwen-chat-template` for local Qwen-compatible servers that read `chat_template_kwargs.enable_thinking` and need `preserve_thinking`. Use `chat-template` for configurable `chat_template_kwargs`, for example DeepSeek V3.x behind vLLM with `chatTemplateKwargs: { "thinking": { "$var": "thinking.enabled" } }`. Use `thinkingFormat: "baseten"` with `chatTemplateArgs` when the provider expects toggle values under `chat_template_args` and optionally supports top-level `reasoning_effort`.
`thinkingTokenBudgetField` sends a clamped per-level thinking budget as a top-level request field (`thinking_token_budget` on vLLM, `thinking_budget` on Qwen/SGLang, `thinking_budget_tokens` on llama.cpp). `supportsThinkingTokenBudget: true` is an alias for the vLLM field name. Do not combine it with `reasoning_effort` on DashScope Qwen models.
`cacheControlFormat: "anthropic"` applies Anthropic-style `cache_control` markers to the system prompt, last tool definition, and last user, assistant, or tool-result text content.
A provider extension connects Pi to a model service that needs custom authentication, model discovery, request handling, or streaming. If the service already speaks a supported API, configure it in `models.json` instead.
Provider extensions run inside Pi and can inspect credentials, prompts, tool definitions, model responses, and usage. Treat them as trusted code and avoid logging secrets or provider payloads.
## Choose the smallest integration
| Requirement | Use |
|---|---|
| Add models behind a supported API | [`models.json`](models.md#configure-a-compatible-endpoint) |
| Change an existing provider endpoint or headers | `models.json` or a small provider extension |
| Discover models dynamically | A provider with `refreshModels` |
| Add a `/login` flow | A provider with native or legacy OAuth configuration |
| Implement an unsupported wire protocol | A provider with `stream` or `streamSimple` |
A provider extension is an [extension](extensions.md), so it follows the same loading, trust, reload, and error behavior.
## Register a provider
Call `pi.registerProvider()` from the extension factory. Pi waits for asynchronous factories before startup continues, so providers registered there are available to startup model selection and `pi --list-models`.
There are two registration forms:
- Register a complete `Provider` from `@earendil-works/pi-ai` for native authentication, filtering, discovery, refresh, and streaming behavior.
- Register a provider name with `ProviderConfig` for the legacy configuration form used by existing extensions.
Prefer a complete provider for new integrations that own more than static endpoint and model metadata. Pi composes `models.json` overrides above a registered native provider.
Registering only `baseUrl` or `headers` for an existing provider preserves its built-in models. Supplying `models` in the legacy form replaces the models supplied by that registration.
Calls made after initial extension loading take effect immediately. Use `pi.unregisterProvider()` to remove the dynamic provider and restore built-in behavior that it replaced.
See the checked [GitLab Duo provider](../examples/extensions/custom-provider-gitlab-duo/) for a complete registration that delegates streaming to built-in API implementations.
## Provide authentication
Static providers can resolve an API key from a literal, environment interpolation, or a command. These values use the same syntax as `models.json`:
- `$NAME` and `${NAME}` read environment variables.
- A leading `!command` uses command output.
- `$$` emits a literal `$`.
- `$!` emits a literal leading `!`.
Use native provider authentication when the integration needs stored credentials, custom resolution, provider-scoped environment, or multiple login methods.
An OAuth provider supplies a display name, login flow, token refresh, and access-token resolution. After registration it appears in `/login`, and Pi stores returned credentials in `~/.pi/agent/auth.json`.
OAuth callbacks are UI-neutral. They can open an authorization URL, show a device code, report progress, request input, or ask the user to choose a login method. Honor cancellation and the supplied abort signal during network requests.
Never write access tokens, refresh tokens, authorization headers, or complete provider responses to ordinary logs.
## Supply and refresh models
Every model needs an ID, display name, input capabilities, context window, output limit, reasoning support, and cost metadata. Choose the API implementation at the provider level unless one model requires an override.
Set `promptCache.short` or `promptCache.long` to the provider's best-effort cache lifetime in seconds when Pi should keep an idle prompt cache warm. Leave them unset to disable cache warming for that retention tier.
Compatibility flags describe verified differences in an otherwise supported API. Do not enable them based only on an endpoint claiming compatibility.
Confirm the request fields and response behavior against the actual server.
Use `refreshModels` when the available catalog comes from a live service. Pass `context.signal` to blocking I/O so callers can cancel refreshes.
The two registration forms have different refresh contracts:
- A complete `Provider` returns nothing. It calls `context.publish({ update })` to install provider-owned model state, after which its synchronous `getModels()` exposes the latest list.
- Legacy `ProviderConfig.refreshModels` returns model definitions. Pi replaces that registration’s live models with the returned list and applies any requested persistence.
Publish persisted catalog data only when it should survive across runs. A live service such as llama.cpp can update its in-memory list without persisting it; a remote catalog can retain a snapshot for offline startup.
## Reuse a supported streaming API
Use one of Pi AI’s API implementations whenever the provider protocol matches it.
Supported implementations cover Anthropic Messages, OpenAI Chat Completions and Responses, Google Generative AI and Vertex, Azure OpenAI Responses, Mistral Conversations, and Bedrock Converse.
The provider can still customize authentication, base URLs, headers, model filtering, and discovery while delegating request conversion and streaming to an existing API implementation.
This is safer than copying a stream implementation because it preserves Pi’s message conversion, tool handling, usage accounting, cancellation, and compatibility behavior.
## Implement custom streaming
Implement `streamSimple` only when no existing API implementation can represent the service. Study the implementations under [`packages/ai/src/api`](https://github.com/earendil-works/pi/tree/main/packages/ai/src/api) first.
The stream receives a normalized `TranscriptContext`. System prompts and tool declarations live in transcript system messages, so read them with `getCurrentSystemPrompt(context.messages)` and `getCurrentTools(context.messages)` rather than expecting `context.systemPrompt` or `context.tools`. A model that supports mid-conversation system messages can receive them in place; otherwise call `collapseSystemMessages(context)` to fold later system messages into the leading one.
A custom stream must:
1. Create an assistant message with provider, model, timestamp, pending stop reason, content, and zeroed usage.
2. After request setup succeeds, emit one `start` event before content events.
3. Update the message while emitting balanced text, thinking, and tool-call events.
4. Finalize usage, cost, content, and stop reason.
5. Emit exactly one terminal `done` or `error` event and close the stream.
6. Convert cancellation into an aborted result.
Request setup can fail before `start`; in that case the stream can terminate directly with `error`. Missing request authentication may also throw synchronously before a stream is returned.
Content indexes refer to blocks in the assistant message. Update each block before emitting the event whose `partial` field exposes that state. Tool-call arguments must contain valid parsed input by `toolcall_end`.
The stream must also honor request instrumentation supplied through `SimpleStreamOptions`:
- Call `options.onPayload` before sending the provider request and use any replacement payload it returns.
- Call `options.onResponse` after receiving the response but before consuming its body.
- Pass through the abort signal and provider-scoped environment.
These hooks power extension request inspection and response-header events. Omitting them makes the provider behave differently from Pi’s built-in providers.
## Report failures and usage
Set a concrete terminal stop reason. Error and aborted messages need an `errorMessage`; successful messages need accurate input, output, cache, total-token, and cost values.
Pi can compact and retry after recognized context-overflow errors. If the service uses an unknown message, normalize only that provider’s overflow response to `context_length_exceeded` in a guarded `message_end` handler.
Do not rewrite rate limits or transient provider failures as context overflow. Those failures use Pi’s normal retry behavior instead.
## Test the integration
Test at least:
- ordinary and empty text responses
- tool calls and tool results
- image input and image tool results when supported
- usage and cost accounting
- abort behavior
- context overflow
- malformed or partial streams
- Unicode boundaries
- cross-provider session handoff
- authentication refresh and cancellation
The provider tests under [`packages/ai/test`](https://github.com/earendil-works/pi/tree/main/packages/ai/test) define the behavior expected from built-in providers. Adapt the relevant suites rather than relying only on manual prompts.
Run the extension directly while developing, then move it to a discovered extension location or distribute it through a [Pi package](packages.md). Use `/reload` after changing a discovered provider extension in an active session.
packages/coding-agent/docs/development.md
-90
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@@ -1,90 +0,0 @@
# Development
See [AGENTS.md](https://github.com/earendil-works/pi/blob/main/AGENTS.md) for additional guidelines.
## Setup
```bash
git clone https://github.com/earendil-works/pi
cd pi
npm install
npm run build
```
Run from source:
```bash
/path/to/pi/pi-test.sh
```
The script can be run from any directory. Pi keeps the caller's current working directory.
### Experimental remote harness
The remote harness server/client integration is development-only. Run it from the repository with:
```bash
PI_EXPERIMENTAL=1 ./pi-test.sh server
PI_EXPERIMENTAL=1 ./pi-test.sh client
```
`PI_SERVER_DIR` overrides the server profile and socket directory (default: `~/.pi/server`). `PI_SERVER_ID` selects the logical server ID when `--server-id` is omitted.
The `client` and `experimental/plugin` package subpaths resolve only under the `source` condition in a checkout. Their implementations and the server/client commands are excluded from npm packages and standalone binaries. `pi-client`, `pi-protocol`, and `pi-server` are development dependencies of coding-agent, not runtime dependencies. The local SDK and stdio RPC API are unchanged.
## Forking / Rebranding
Configure via `package.json`:
```json
{
"piConfig": {
"name": "pi",
"configDir": ".pi"
}
}
```
Change `name`, `configDir`, and `bin` field for your fork. Affects CLI banner, config paths, and environment variable names.
## Path Resolution
Three execution modes: npm install, standalone binary, tsx from source.
**Always use `src/config.ts`** for package assets:
```typescript
import { getPackageDir, getThemeDir } from "./config.js";
```
Never use `__dirname` directly for package assets.
## Debug Command
`/debug` (hidden) writes to `~/.pi/agent/pi-debug.log`:
- Rendered TUI lines with ANSI codes
- Last messages sent to the LLM
## Testing
```bash
./test.sh # Run non-LLM tests (no API keys needed)
npm test # Run all tests
npm test -- test/specific.test.ts # Run specific test
```
### Published package smoke test
After building, run `npm run check:package-install`. It packs the public packages and installs only coding-agent as a direct dependency in a temporary directory outside the repository. Local tarball overrides select declared transitive dependencies without installing development-only packages. The check verifies SDK imports and CLI startup without credentials or model requests.
`npm run check` also checks runtime dependency declarations and rejects excluded development sources pulled into a package's build through imports.
## Project Structure
```
packages/
ai/ # LLM provider abstraction
agent/ # Agent loop and message types
tui/ # Terminal UI components
coding-agent/ # CLI and interactive mode
```
packages/coding-agent/docs/docs.json
+137 -97
View File
@@ -1,7 +1,7 @@
{
"navigation": [
{
"title": "Start here",
"title": "Get Started",
"items": [
{
"title": "Overview",
@@ -12,142 +12,178 @@
"path": "quickstart.md"
},
{
"title": "Using Pi",
"path": "usage.md"
},
{
"title": "Providers",
"path": "providers.md"
},
{
"title": "Security",
"path": "security.md"
},
{
"title": "Containerization",
"path": "containerization.md"
},
{
"title": "Settings",
"path": "settings.md"
},
{
"title": "Keybindings",
"path": "keybindings.md"
},
{
"title": "Sessions",
"path": "sessions.md"
},
{
"title": "Compaction",
"path": "compaction.md"
"title": "How Pi Works",
"path": "how-pi-works.md"
}
]
},
{
"title": "Customization",
"title": "Guides",
"items": [
{
"title": "Extensions",
"path": "extensions.md"
"title": "Run Pi",
"items": [
{
"title": "Use Pi in the Terminal",
"path": "usage.md"
},
{
"title": "Choose a Model",
"path": "models.md"
},
{
"title": "Manage Sessions and Context",
"path": "sessions.md"
},
{
"title": "Run Pi Safely",
"path": "security.md"
},
{
"title": "Isolate Pi",
"path": "containerization.md"
},
{
"title": "Run Local Models",
"path": "llama-cpp.md"
},
{
"title": "Configure Your Terminal",
"path": "terminal-setup.md"
},
{
"title": "Configure Shell Commands",
"path": "shell-aliases.md"
},
{
"title": "Run Pi in tmux",
"path": "tmux.md"
},
{
"title": "Run Pi on Windows",
"path": "windows.md"
},
{
"title": "Run Pi on Android",
"path": "termux.md"
}
]
},
{
"title": "Skills",
"path": "skills.md"
"title": "Customize Pi",
"items": [
{
"title": "Configure Pi",
"path": "configuration.md"
},
{
"title": "Create Prompt Templates",
"path": "prompt-templates.md"
},
{
"title": "Add Skills",
"path": "skills.md"
},
{
"title": "Create Themes",
"path": "themes.md"
},
{
"title": "Use Pi Packages",
"path": "packages.md"
}
]
},
{
"title": "Prompt Templates",
"path": "prompt-templates.md"
},
{
"title": "Themes",
"path": "themes.md"
},
{
"title": "Pi Packages",
"path": "packages.md"
},
{
"title": "Custom Models",
"path": "models.md"
},
{
"title": "Custom Providers",
"path": "custom-provider.md"
"title": "Build on Pi",
"items": [
{
"title": "Build Extensions",
"path": "extensions.md"
},
{
"title": "Add Custom Providers",
"path": "custom-provider.md"
},
{
"title": "Build Terminal UI Components",
"path": "tui.md"
},
{
"title": "Integrate with the CLI",
"path": "cli-integration.md"
},
{
"title": "Use the SDK",
"path": "sdk.md"
}
]
}
]
},
{
"title": "Reference",
"items": [
{
"title": "CLI",
"path": "cli.md"
},
{
"title": "Slash Commands",
"path": "slash-commands.md"
},
{
"title": "Settings",
"path": "settings.md"
},
{
"title": "Environment Variables",
"path": "environment-variables.md"
},
{
"title": "Session Format",
"title": "Keybindings",
"path": "keybindings.md"
},
{
"title": "Provider Authentication",
"path": "providers.md"
},
{
"title": "Session File Format",
"path": "session-format.md"
}
]
},
{
"title": "Programmatic Usage",
"items": [
{
"title": "SDK",
"path": "sdk.md"
},
{
"title": "RPC Mode",
"path": "rpc.md"
"title": "Compaction and Branch Summaries",
"path": "compaction.md"
},
{
"title": "JSON Event Stream Mode",
"title": "JSON Event Stream",
"path": "json.md"
},
{
"title": "TUI Components",
"path": "tui.md"
}
]
},
{
"title": "Platform Setup",
"items": [
{
"title": "Windows",
"path": "windows.md"
"title": "RPC Protocol",
"path": "rpc.md"
},
{
"title": "Termux on Android",
"path": "termux.md"
"title": "RPC Commands",
"path": "rpc-commands.md"
},
{
"title": "tmux",
"path": "tmux.md"
"title": "RPC Extension UI",
"path": "rpc-extension-ui.md"
},
{
"title": "Terminal Setup",
"path": "terminal-setup.md"
},
{
"title": "Shell Aliases",
"path": "shell-aliases.md"
}
]
},
{
"title": "Development",
"items": [
{
"title": "Development",
"path": "development.md"
"title": "Message Types",
"path": "message-types.md"
}
]
}
],
"redirects": [
{
"from": "development.md",
"to": "index.md"
},
{
"from": "session.md",
"to": "session-format.md"
@@ -155,6 +191,10 @@
{
"from": "tree.md",
"to": "sessions.md"
},
{
"from": "process-integration.md",
"to": "cli-integration.md"
}
]
}
packages/coding-agent/docs/environment-variables.md
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@@ -6,7 +6,7 @@ Pi uses environment variables in three ways:
- Pi sets process markers so child processes can identify Pi as the launching agent.
- Commands run by the LLM-callable shell tools receive `PI_*` variables describing the current session.
Provider API-key variables are documented separately in [Providers](providers.md#environment-variables-or-auth-file).
Provider API-key variables are documented separately in [Provider Authentication](providers.md#use-an-api-key-from-the-environment).
## Process Marker
@@ -81,7 +81,7 @@ These variables are read by Pi itself:
| `PI_CODING_AGENT_DIR` | Override the config directory; default is `~/.pi/agent` |
| `PI_CODING_AGENT_SESSION_DIR` | Override session storage; overridden by `--session-dir` |
| `PI_PACKAGE_DIR` | Override the package directory, useful for Nix/Guix store paths |
| `PI_OFFLINE` | Disable startup network operations, including update checks, package updates, and install/update telemetry |
| `PI_OFFLINE` | Disable automatic network activity, including model catalog refreshes |
| `PI_SKIP_VERSION_CHECK` | Disable the `pi.dev` latest-version request |
| `PI_TELEMETRY` | Override install/update telemetry and provider attribution headers: `1`/`true`/`yes` or `0`/`false`/`no` |
| `PI_CACHE_RETENTION` | Set to `long` for extended provider prompt caching where supported |
@@ -95,6 +95,4 @@ These variables are read by Pi itself:
| `VISUAL`, `EDITOR` | External editor fallback when `externalEditor` is unset |
| `HTTP_PROXY`, `HTTPS_PROXY` | Proxy outbound HTTP requests |
Provider credentials such as `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, and cloud-provider configuration are listed in [Providers](providers.md#environment-variables-or-auth-file).
`PI_SERVER_DIR` and `PI_SERVER_ID` apply only to the source-only [experimental remote harness](development.md#experimental-remote-harness), not distributed builds.
Provider credentials such as `ANTHROPIC_API_KEY`, `OPENAI_API_KEY`, and cloud-provider configuration are listed in [Provider Authentication](providers.md#use-an-api-key-from-the-environment).
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# How Pi Works
Pi coordinates model requests, tool execution, context assembly, and session storage. A session is Pi's record of a conversation, including messages, tool calls and results, model changes, compactions, and other events.
Messages and events in a session form a tree. Each path through that tree is a branch. The branch ending at the current entry is the active branch and supplies the history for the next model request.
## Agent loop
A submitted message is added to the active branch. Pi builds a model request from the system prompt, active branch, available tools, and model settings, then sends it through the selected provider.
The provider streams an assistant response, which can contain text and tool calls. Pi records the response, executes each tool call, and records the results. That completes one turn. If tool results or queued messages require another model request, Pi starts another turn. Otherwise, the run ends.
Steering messages enter after the current assistant turn. Follow-up messages enter after the agent has finished its pending work. Aborting stops the current run and returns queued messages to the editor.
## Context
The active branch supplies conversation history. Pi converts its session entries into model-compatible user, assistant, and tool-result messages.
Pi builds the system prompt from its base instructions and discovered context files. The request also carries tool definitions and skill descriptions.
Full skill instructions are loaded on demand. Extensions can add instructions or transform context.
Prompt templates expand editor input before it becomes a user message. Selected files, images, pasted text, and shell output can become message content.
## Sessions
Persistent sessions are JSONL files. Each tree entry has an ID and refers to its parent. The current entry identifies the active branch.
Continuing from an earlier entry creates another branch in the same file. Forking and cloning copy selected history into a new session file.
Model context is reconstructed from the active branch. Compaction inserts a summary entry that replaces older messages in subsequent model requests. The original entries remain in the session tree.
## Interfaces
Interactive mode renders session and agent events in the terminal. Print mode runs a prompt and writes the final response. JSON mode writes agent events as JSONL.
RPC mode accepts JSONL commands on stdin and writes responses and events to stdout. The TypeScript SDK creates and controls agent sessions in process.
All interfaces use the same agent and session mechanisms.
## Extensions and resources
Extensions are TypeScript modules loaded into the Pi process. Their factory functions register tools, commands, shortcuts, providers, event handlers, renderers, and terminal UI.
Skills provide on-demand instructions and supporting files. Prompt templates provide reusable message text. Themes provide terminal colors. Pi packages distribute these resources through npm or git.
## Trust and permissions
Pi resolves project trust before loading project settings and resources. After the trust decision and project-resource loading, Pi loads context files. Enabled tools use the operating-system permissions of the Pi process. Extensions execute inside that process.
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# Pi Documentation
# Pi
Pi is a minimal terminal coding harness. It is designed to stay small at the core while being extended through TypeScript extensions, skills, prompt templates, themes, and pi packages.
Pi is an extensible AI agent that works from your terminal. Give it a goal and a working folder, and it can inspect files, run commands, edit content, and work through multi-step tasks.
## Quick start
Use Pi for software development, research notes, writing projects, data files, or hobby work. You can use Pi as is, prompt it to adapt itself to your workflow, or build other applications powered by Pi using the SDK.
Install Pi with npm:
## Start using Pi
```bash
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
```
New to Pi? Follow the [Quickstart](quickstart.md) to install Pi, connect a model, and complete your first task.
`--ignore-scripts` disables dependency lifecycle scripts during install. Pi does not require install scripts for normal npm installs.
If Pi is already installed, choose what you want to do:
On Linux or macOS, you can also use the installer:
- [Use Pi interactively](usage.md) to add files, run commands, direct ongoing work, and export results.
- [Choose a model](models.md) or connect a subscription, API key, local model, or compatible endpoint.
- [Continue or branch a session](sessions.md) to resume work or explore another approach without losing history.
- [Configure Pi](configuration.md) for your preferences, working folders, instructions, and reusable resources.
- [Understand how Pi works](how-pi-works.md), including tools, context, sessions, and the agent loop.
```bash
curl -fsSL https://pi.dev/install.sh | sh
```
## Customize Pi
To uninstall pi itself, use npm for curl and npm installs:
Pi can reuse prompts, load specialized instructions, add executable integrations, change its terminal interface, connect model services, and distribute these resources as packages.
Use the [Quickstart customization chooser](quickstart.md#choose-how-to-customize-pi) to select the smallest mechanism that meets your need.
```bash
npm uninstall -g @earendil-works/pi-coding-agent
```
## Automate or embed Pi
For pnpm, Yarn, or Bun installs, use the matching global remove command: `pnpm remove -g @earendil-works/pi-coding-agent`, `yarn global remove @earendil-works/pi-coding-agent`, or `bun uninstall -g @earendil-works/pi-coding-agent`.
- Use [print mode](cli.md#invocation-and-output) for one-off and scripted tasks.
- Use [JSON event stream mode](json.md) to consume structured events from one run.
- Use [RPC mode](rpc.md) to control a separate Pi process.
- Use the [TypeScript SDK](sdk.md) to run Pi inside an application.
Then run it in a project directory:
## Find reference and setup information
```bash
pi
```
Use the reference pages to look up [CLI options](cli.md), [settings](settings.md), [provider authentication](providers.md), [keybindings](keybindings.md), and [environment variables](environment-variables.md).
Authenticate with `/login` for subscription providers, or set an API key such as `ANTHROPIC_API_KEY` before starting pi.
For platform-specific help, see [Terminal Setup](terminal-setup.md), [Windows](windows.md), [tmux](tmux.md), [Termux on Android](termux.md), or [Containerization](containerization.md).
For the full first-run flow, see [Quickstart](quickstart.md).
## Work safely
## Start here
- [Quickstart](quickstart.md) - install, authenticate, and run a first session.
- [Using Pi](usage.md) - interactive mode, slash commands, context files, and CLI reference.
- [Providers](providers.md) - subscription and API-key setup for built-in providers.
- [llama.cpp](llama-cpp.md) - run a local router and manage models with `/llama`.
- [Security](security.md) - project trust, sandbox boundaries, and vulnerability reporting.
- [Containerization](containerization.md) - sandbox pi with Gondolin, Docker, or OpenShell.
- [Settings](settings.md) - global and project settings.
- [Keybindings](keybindings.md) - default shortcuts and custom keybindings.
- [Sessions](sessions.md) - session management, branching, and tree navigation.
- [Compaction](compaction.md) - context compaction and branch summarization.
## Customization
- [Extensions](extensions.md) - TypeScript modules for tools, commands, events, and custom UI.
- [Skills](skills.md) - Agent Skills for reusable on-demand capabilities.
- [Prompt templates](prompt-templates.md) - reusable prompts that expand from slash commands.
- [Themes](themes.md) - built-in and custom terminal themes.
- [Pi packages](packages.md) - bundle and share extensions, skills, prompts, and themes.
- [Custom models](models.md) - add model entries for supported provider APIs.
- [Custom providers](custom-provider.md) - implement custom APIs and OAuth flows.
## Programmatic usage
- [SDK](sdk.md) - embed pi in Node.js applications.
- [RPC mode](rpc.md) - integrate over stdin/stdout JSONL.
- [JSON event stream mode](json.md) - print mode with structured events.
- [TUI components](tui.md) - build custom terminal UI for extensions.
## Reference
- [Environment variables](environment-variables.md) - Pi process configuration and session metadata available to bash tools.
- [Session format](session-format.md) - JSONL session file format, entry types, and SessionManager API.
## Platform setup
- [Windows](windows.md)
- [Termux on Android](termux.md)
- [tmux](tmux.md)
- [Terminal setup](terminal-setup.md)
- [Shell aliases](shell-aliases.md)
## Development
- [Development](development.md) - local setup, project structure, and debugging.
Pi's tools and extensions run with the permissions of the Pi process. Project trust controls which project resources Pi loads, but it does not sandbox tool calls. Review [Security](security.md) before using untrusted files, repositories, extensions, or unattended automation.
packages/coding-agent/docs/json.md
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@@ -1,16 +1,203 @@
# JSON Event Stream Mode
# JSON Event Stream
JSON mode emits structured progress for one invocation:
```bash
pi --mode json "Your prompt"
pi --mode json "Review this repository"
```
Outputs all session events as JSON lines to stdout. Useful for integrating pi into other tools or custom UIs.
Pi writes one session header followed by session events, then exits after the supplied prompts finish. RPC mode emits the same session-event shapes but has no session header because it is a bidirectional, long-lived protocol. See [RPC Mode](rpc.md).
## Event Types
This page is the canonical reference for events shared by JSON and RPC mode. Message values use the [shared message types](message-types.md).
Wire events use `JsonAgentSessionEvent`. It matches
[`AgentSessionEvent`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/agent-session.ts)
except that streaming message updates omit cumulative snapshots:
## Framing and process I/O
The stream uses strict JSONL framing. Each record is one JSON object terminated by LF (`\n`). Split records only on LF and strip an optional preceding carriage return. Unicode line and paragraph separators are valid inside JSON strings and are not record boundaries.
Node.js `readline` is not suitable for this stream because it also recognizes those Unicode separators. Use a byte or UTF-8 stream decoder and split on LF.
Read stdout continuously. A reader that stops consuming records can stall Pi when the pipe buffer fills. Stdout is reserved for JSONL; diagnostics and application logging go to stderr.
## Session header
The first JSON-mode record is the current [session header](session-format.md#sessionheader):
```json
{"type":"session","version":3,"id":"uuid","timestamp":"2024-12-03T14:00:00.000Z","cwd":"/path"}
```
RPC mode does not emit this record. Use [`get_state`](rpc-commands.md#get_state) for its current session ID and file.
## Event sequence
A basic run produces records like these:
```json
{"type":"agent_start"}
{"type":"turn_start"}
{"type":"message_start","message":{"role":"user","content":"Review this repository","timestamp":1733234401000}}
{"type":"message_end","message":{"role":"user","content":"Review this repository","timestamp":1733234401000}}
{"type":"message_start","message":{"role":"assistant","content":[],"stopReason":"pending","...":"..."}}
{"type":"message_update","usage":{"...":"..."},"assistantMessageEvent":{"type":"text_delta","contentIndex":0,"delta":"Hello"}}
{"type":"message_end","message":{"role":"assistant","...":"..."}}
{"type":"turn_end","message":{"role":"assistant","...":"..."},"toolResults":[]}
{"type":"agent_end","messages":[{"...":"..."}],"willRetry":false}
{"type":"agent_settled"}
```
`agent_end` closes one low-level agent run. Automatic retry, overflow recovery, compaction retry, steering, or follow-up work can still continue. `agent_settled` means Pi has no remaining automatic work for that session-level run.
## Agent and turn events
| Event | Fields | Meaning |
|---|---|---|
| `agent_start` | None | A low-level agent run started. |
| `agent_end` | `messages`, `willRetry` | That low-level run ended. `messages` contains messages generated by the run. |
| `agent_settled` | None | Pi will not continue automatically through retries, compaction recovery, or queued messages. |
| `turn_start` | None | One assistant turn started. |
| `turn_end` | `message`, `toolResults` | One assistant response and its resulting tool calls finished. |
A turn is one assistant response plus any tool calls and tool results produced by that response.
## Message events
| Event | Fields | Meaning |
|---|---|---|
| `message_start` | `message` | A message started. |
| `message_update` | `usage`, `assistantMessageEvent` | An assistant message emitted a content-block update. |
| `message_end` | `message` | A message completed. This is the authoritative final message. |
### Reconstruct streaming messages
Wire `message_update` records are delta-only. They omit the SDK event's cumulative `message` field and every `assistantMessageEvent.partial` snapshot so stream size remains linear.
The nested event is one of:
| Type | Fields in addition to `type` | Meaning |
|---|---|---|
| `start` | None | The provider stream started; its cumulative `partial` field is removed on the wire. |
| `text_start` | `contentIndex` | A text block started. |
| `text_delta` | `contentIndex`, `delta` | Append text to the block. |
| `text_end` | `contentIndex`, `content` | The text block ended with authoritative content. |
| `thinking_start` | `contentIndex` | A thinking block started. |
| `thinking_delta` | `contentIndex`, `delta` | Append thinking text to the block. |
| `thinking_end` | `contentIndex`, `content` | The thinking block ended with authoritative content. |
| `toolcall_start` | `contentIndex`, `id`, `toolName` | A tool-call block started. |
| `toolcall_delta` | `contentIndex`, `delta` | Append serialized argument data. |
| `toolcall_end` | `contentIndex`, `toolCall` | The tool call ended with the complete `ToolCall`. |
| `done` | `reason`, `message` | The provider stream completed successfully. |
| `error` | `reason`, `error` | The provider stream ended with an error or abort message. |
The normal agent loop translates provider-level `start`, `done`, and `error` into `message_start` and `message_end` session events rather than emitting them as `message_update`. They remain admitted by the exported `JsonAgentSessionEvent` transformation for callers that construct a matching session event.
Use `contentIndex` to identify the content block. Buffer `delta` fields for a live display, but replace reconstructed data with the completed content in `text_end`, `thinking_end`, or `toolcall_end`. Replace the whole partial message with `message_end.message` when it arrives.
The top-level `usage` is the latest cumulative provider-reported usage for the assistant response. It can remain zero until completion when a provider does not report usage while streaming.
```json
{"type":"message_update","usage":{"input":100,"output":1,"cacheRead":0,"cacheWrite":0,"totalTokens":101,"cost":{"input":0,"output":0,"cacheRead":0,"cacheWrite":0,"total":0}},"assistantMessageEvent":{"type":"text_delta","contentIndex":0,"delta":"Hello "}}
```
## Tool execution events
| Event | Fields | Meaning |
|---|---|---|
| `tool_execution_start` | `toolCallId`, `toolName`, `args` | Tool execution started. |
| `tool_execution_update` | `toolCallId`, `toolName`, `args`, `partialResult` | The tool reported a partial result. |
| `tool_execution_end` | `toolCallId`, `toolName`, `result`, `isError` | Tool execution finished. |
Use `toolCallId` to correlate the lifecycle. `partialResult` is the latest partial result supplied by the tool. Whether it replaces or extends an earlier update depends on that tool's result contract.
```json
{"type":"tool_execution_start","toolCallId":"call_abc123","toolName":"bash","args":{"command":"ls -la"}}
{"type":"tool_execution_update","toolCallId":"call_abc123","toolName":"bash","args":{"command":"ls -la"},"partialResult":{"content":[{"type":"text","text":"partial output"}],"details":{}}}
{"type":"tool_execution_end","toolCallId":"call_abc123","toolName":"bash","result":{"content":[{"type":"text","text":"complete output"}],"details":{}},"isError":false}
```
## Queue and state events
| Event | Fields | Meaning |
|---|---|---|
| `queue_update` | `steering`, `followUp` | The pending steering or follow-up queue changed. Both fields contain the complete current queue. |
| `entry_appended` | `entry` | An extension appended a custom session entry through `pi.appendEntry()`. |
| `session_info_changed` | `name` | The session display name changed. An absent `name` means it was cleared. |
| `thinking_level_changed` | `level` | The active thinking level changed. |
The `entry` value uses a persisted [session entry type](session-format.md#entry-types).
## Compaction events
`compaction_start` reports why compaction began:
```json
{"type":"compaction_start","reason":"threshold"}
```
`reason` is `"manual"`, `"threshold"`, or `"overflow"`.
`compaction_end` contains the result when compaction succeeds:
```json
{
"type": "compaction_end",
"reason": "threshold",
"result": {
"summary": "Summary of conversation...",
"firstKeptEntryId": "abc123",
"tokensBefore": 150000,
"estimatedTokensAfter": 32000,
"usage": {"...": "..."},
"details": {}
},
"aborted": false,
"willRetry": false
}
```
If compaction was aborted, `result` is absent and `aborted` is true. If it failed, `result` is absent, `aborted` is false, and `errorMessage` describes the failure. Successful overflow recovery sets `willRetry` to true before Pi retries the prompt.
See [Compaction and Branch Summaries](compaction.md) for result semantics.
## Retry events
Assistant-turn retry emits:
```json
{"type":"auto_retry_start","attempt":1,"maxAttempts":3,"delayMs":2000,"errorMessage":"529 overloaded"}
{"type":"auto_retry_end","success":true,"attempt":2}
```
On final failure, `auto_retry_end` has `success: false` and a `finalError` string.
Compaction and branch-summary retry emit:
```json
{"type":"summarization_retry_scheduled","attempt":1,"maxAttempts":3,"delayMs":2000,"errorMessage":"terminated"}
{"type":"summarization_retry_attempt_start","source":"compaction","reason":"threshold"}
{"type":"summarization_retry_finished"}
```
For a branch summary, `source` is `"branchSummary"` and `reason` is absent. The `reason` on a compaction retry is `"manual"`, `"threshold"`, or `"overflow"`.
## RPC-only events
A direct RPC [`bash`](rpc-commands.md#bash) command emits one `bash_execution_update` for each output chunk. Its optional `id` matches the command ID. The final command response can contain truncated output, but these events stream all output:
```json
{"type":"bash_execution_update","id":"req-1","delta":"total 48\n"}
```
RPC also adds `extension_error` when an extension handler throws:
```json
{"type":"extension_error","extensionPath":"/path/to/extension.ts","event":"tool_call","error":"Error message"}
```
Extension UI records are a separate RPC subprotocol, not `AgentSessionEvent` values. See [RPC Extension UI](rpc-extension-ui.md).
## TypeScript types
The SDK's `AgentSessionEvent` contains cumulative streaming snapshots for in-process consumers. JSON and RPC transform only `message_update`:
```typescript
type WithoutPartial<T> = T extends { partial: unknown } ? Omit<T, "partial"> : T;
@@ -28,71 +215,12 @@ type JsonAgentSessionEvent =
};
```
`queue_update` emits the full pending steering and follow-up queues whenever they change. `compaction_start` and `compaction_end` cover both manual and automatic compaction.
Other base events come from
[`AgentEvent`](https://github.com/earendil-works/pi/blob/main/packages/agent/src/types.ts):
```typescript
type AgentEvent =
// Agent lifecycle
| { type: "agent_start" }
| { type: "agent_end"; messages: AgentMessage[] }
// Turn lifecycle
| { type: "turn_start" }
| { type: "turn_end"; message: AgentMessage; toolResults: ToolResultMessage[] }
// Message lifecycle
| { type: "message_start"; message: AgentMessage }
| { type: "message_update"; message: AgentMessage; assistantMessageEvent: AssistantMessageEvent }
| { type: "message_end"; message: AgentMessage }
// Tool execution
| { type: "tool_execution_start"; toolCallId: string; toolName: string; args: any }
| { type: "tool_execution_update"; toolCallId: string; toolName: string; args: any; partialResult: any }
| { type: "tool_execution_end"; toolCallId: string; toolName: string; result: any; isError: boolean };
```
## Message Types
Base messages from [`packages/ai/src/types.ts`](https://github.com/earendil-works/pi/blob/main/packages/ai/src/types.ts#L134):
- `UserMessage` (line 134)
- `AssistantMessage` (line 140)
- `ToolResultMessage` (line 152)
Extended messages from [`packages/coding-agent/src/core/messages.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/messages.ts#L29):
- `BashExecutionMessage` (line 29)
- `CustomMessage` (line 46)
- `BranchSummaryMessage` (line 55)
- `CompactionSummaryMessage` (line 62)
## Output Format
Each line is a JSON object. The first line is the session header:
```json
{"type":"session","version":3,"id":"uuid","timestamp":"...","cwd":"/path"}
```
Followed by events as they occur:
```json
{"type":"agent_start"}
{"type":"turn_start"}
{"type":"message_start","message":{"role":"assistant","content":[],...}}
{"type":"message_update","usage":{...},"assistantMessageEvent":{"type":"text_delta","contentIndex":0,"delta":"Hello"}}
{"type":"message_end","message":{...}}
{"type":"turn_end","message":{...},"toolResults":[]}
{"type":"agent_end","messages":[...]}
```
`message_update` records are delta-only. They omit both the cumulative `message` field and
`assistantMessageEvent.partial` to keep stream size linear. The top-level `usage` field contains
the latest cumulative provider-reported usage and may remain zero when a provider only reports
usage at completion. Use `contentIndex` and `delta` to assemble live text, thinking, or tool-call
arguments if needed. A `toolcall_start` event also includes the constant-sized `id` and `toolName`
fields. `message_end` contains the final authoritative message.
Use the exported `JsonAgentSessionEvent` type from `@earendil-works/pi-coding-agent`. Its implementation is in [`json-event.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/modes/json-event.ts).
## Example
Print completed messages from a one-shot run:
```bash
pi --mode json "List files" 2>/dev/null | jq -c 'select(.type == "message_end")'
```
packages/coding-agent/docs/keybindings.md
+57 -102
View File
@@ -1,16 +1,35 @@
# Keybindings
# Keybindings Reference
All keyboard shortcuts can be customized via `~/.pi/agent/keybindings.json`. Each action can be bound to one or more keys.
Pi exposes named actions, such as `app.session.new`, that can be assigned keybindings. You can change default assignments or bind unassigned actions in Pi's [user configuration](configuration.md#agent-directory).
The config file uses the same namespaced keybinding ids that pi uses internally and that extension authors use in `keyHint()` and injected `keybindings` managers.
Run `/hotkeys` to see the active shortcuts for the main editor and application.
Older configs using pre-namespaced ids such as `cursorUp` or `expandTools` are migrated automatically to the namespaced ids on startup.
## Assign keybindings
After editing `keybindings.json`, run `/reload` in pi to apply the changes without restarting the session.
Create `<agent-dir>/keybindings.json`. The agent directory defaults to `~/.pi/agent` and is described in [Agent directory](configuration.md#agent-directory).
## Key Format
Map each action identifier to one key or a list of keys:
`modifier+key` where modifiers are `ctrl`, `shift`, `alt`, `super` (combinable) and keys are:
```json
{
"app.session.new": "ctrl+shift+n",
"app.session.tree": ["ctrl+shift+t", "alt+shift+t"]
}
```
A configured value replaces the default for that action. Use an empty list to disable an action's keybindings:
```json
{
"tui.altScreen.pageUp": []
}
```
After editing the file, run `/reload` to apply the changes to the active session.
## Key syntax
Write a key as `modifier+key`. Modifiers are `ctrl`, `shift`, `alt`, and `super`. You can combine modifiers. Valid keys are:
- **Letters:** `a-z`
- **Digits:** `0-9`
@@ -18,20 +37,22 @@ After editing `keybindings.json`, run `/reload` in pi to apply the changes witho
- **Function:** `f1`-`f12`
- **Symbols:** `` ` ``, `-`, `=`, `[`, `]`, `\`, `;`, `'`, `,`, `.`, `/`, `!`, `@`, `#`, `$`, `%`, `^`, `&`, `*`, `(`, `)`, `_`, `+`, `|`, `~`, `{`, `}`, `:`, `<`, `>`, `?`
Modifier combinations: `ctrl+shift+x`, `alt+ctrl+x`, `ctrl+shift+alt+x`, `super+k`, `ctrl+super+k`, `ctrl+1`, etc.
Examples: `ctrl+shift+x`, `alt+ctrl+x`, `ctrl+shift+alt+x`, `super+k`, `ctrl+super+k`, and `ctrl+1`.
`super` bindings require a terminal that reports the modifier separately, typically through the Kitty keyboard protocol. They may not work in terminals without that support.
## All Actions
## Actions
### TUI Editor Cursor Movement
### Terminal UI
#### Cursor movement
| Keybinding id | Default | Description |
|--------|---------|-------------|
|---|---|---|
| `tui.editor.cursorUp` | `up` | Move cursor up, browsing older history at the top |
| `tui.editor.cursorDown` | `down` | Move cursor down, browsing newer history at the bottom |
| `tui.editor.historyPrevious` | *(none)* | Select the previous prompt history entry |
| `tui.editor.historyNext` | *(none)* | Select the next prompt history entry |
| `tui.editor.historyPrevious` | None | Select the previous prompt history entry |
| `tui.editor.historyNext` | None | Select the next prompt history entry |
| `tui.editor.cursorLeft` | `left`, `ctrl+b` | Move cursor left |
| `tui.editor.cursorRight` | `right`, `ctrl+f` | Move cursor right |
| `tui.editor.cursorWordLeft` | `alt+left`, `ctrl+left`, `alt+b` | Move cursor word left |
@@ -43,39 +64,29 @@ Modifier combinations: `ctrl+shift+x`, `alt+ctrl+x`, `ctrl+shift+alt+x`, `super+
| `tui.editor.pageUp` | `pageUp`, `ctrl+pageUp` | Scroll up by page |
| `tui.editor.pageDown` | `pageDown`, `ctrl+pageDown` | Scroll down by page |
The dedicated history actions always change history entries, regardless of the cursor position in a multiline prompt. Explicit history bindings take precedence over application actions while the main editor is focused, so binding `tui.editor.historyPrevious` to `ctrl+p` overrides model cycling in that context without changing `Ctrl+P` in selectors.
The dedicated history actions browse prompt history regardless of cursor position and take precedence over application actions using the same key.
### TUI Editor Deletion
#### Text editing
| Keybinding id | Default | Description |
|--------|---------|-------------|
|---|---|---|
| `tui.editor.deleteCharBackward` | `backspace` | Delete character backward |
| `tui.editor.deleteCharForward` | `delete`, `ctrl+d` | Delete character forward |
| `tui.editor.deleteWordBackward` | `ctrl+w`, `alt+backspace` | Delete word backward |
| `tui.editor.deleteWordForward` | `alt+d`, `alt+delete` | Delete word forward |
| `tui.editor.deleteToLineStart` | `ctrl+u` | Delete to line start |
| `tui.editor.deleteToLineEnd` | `ctrl+k` | Delete to line end |
### TUI Input
| Keybinding id | Default | Description |
|--------|---------|-------------|
| `tui.input.newLine` | `shift+enter`, `ctrl+j` | Insert new line |
| `tui.input.submit` | `enter` | Submit input |
| `tui.input.tab` | `tab` | Tab / autocomplete |
### TUI Kill Ring
| Keybinding id | Default | Description |
|--------|---------|-------------|
| `tui.editor.yank` | `ctrl+y` | Paste most recently deleted text |
| `tui.editor.yankPop` | `alt+y` | Cycle through deleted text after yank |
| `tui.editor.undo` | `ctrl+-` (`ctrl+z` on Windows; `alt+z` on WSL) | Undo last edit |
### TUI Clipboard and Selection
#### Input and selection
| Keybinding id | Default | Description |
|--------|---------|-------------|
|---|---|---|
| `tui.input.newLine` | `shift+enter`, `ctrl+j` | Insert new line |
| `tui.input.submit` | `enter` | Submit input |
| `tui.input.tab` | `tab` | Tab or autocomplete |
| `tui.input.copy` | `ctrl+c` | Copy selection |
| `tui.select.up` | `up` | Move selection up |
| `tui.select.down` | `down` | Move selection down |
@@ -84,31 +95,18 @@ The dedicated history actions always change history entries, regardless of the c
| `tui.select.confirm` | `enter` | Confirm selection |
| `tui.select.cancel` | `escape`, `ctrl+c` | Cancel selection |
### TUI Fullscreen Viewport
#### Fullscreen
These actions apply when interactive mode uses `--tui-mode fullscreen` and target the primary transcript scroll region. Two-finger trackpad and mouse-wheel input scroll the region under the pointer, falling back to the transcript over the fixed editor/status/footer dock. Clicking an OSC 8 hyperlink opens it in the default handler. Dragging with the primary mouse button selects text and copies it to the clipboard; holding at the transcript's top or bottom edge auto-scrolls into off-screen content. While the transcript is scrolled up, a clickable "Jump to latest message" label on its bottom row shows the `tui.altScreen.bottom` shortcut. See [Terminal setup](terminal-setup.md) for terminal-specific mouse and trackpad behavior.
Fullscreen transcript bindings take precedence over editor bindings. The default unmodified navigation keys therefore control the transcript in fullscreen mode, while their `ctrl` variants continue to control the editor. Outside fullscreen mode, both variants control the editor.
The transcript search panel shows the configured previous/next shortcuts and clickable arrow controls. Press `tui.altScreen.search` again, or use `tui.altScreen.searchClose`, to close it.
| Key | Default mode | Fullscreen mode |
|-----|--------------|-----------------|
| `home`, `end` | Editor | Transcript |
| `ctrl+home`, `ctrl+end` | Editor | Editor |
| `pageUp`, `pageDown` | Editor | Transcript |
| `ctrl+pageUp`, `ctrl+pageDown` | Editor | Editor |
This routing remains configurable through the ordinary action bindings. For example, `"tui.altScreen.pageUp": "ctrl+pageUp"` makes `pageUp` control the editor and `ctrl+pageUp` control the transcript in fullscreen mode. Bind `tui.altScreen.halfPageUp` and `tui.altScreen.halfPageDown` for half-page steps, or bind `tui.altScreen.lineUp` and `tui.altScreen.lineDown` for single-line steps. Setting `"tui.altScreen.pageUp": []` disables that transcript shortcut entirely. User bindings replace the defaults for that action.
In fullscreen mode, these actions control the transcript and take precedence over editor actions using the same key.
| Keybinding id | Default | Description |
|--------|---------|-------------|
|---|---|---|
| `tui.altScreen.pageUp` | `pageUp` | Scroll the transcript up by one page |
| `tui.altScreen.pageDown` | `pageDown` | Scroll the transcript down by one page |
| `tui.altScreen.halfPageUp` | *(none)* | Scroll the transcript up by half a page |
| `tui.altScreen.halfPageDown` | *(none)* | Scroll the transcript down by half a page |
| `tui.altScreen.lineUp` | *(none)* | Scroll the transcript up by one line |
| `tui.altScreen.lineDown` | *(none)* | Scroll the transcript down by one line |
| `tui.altScreen.halfPageUp` | None | Scroll the transcript up by half a page |
| `tui.altScreen.halfPageDown` | None | Scroll the transcript down by half a page |
| `tui.altScreen.lineUp` | None | Scroll the transcript up by one line |
| `tui.altScreen.lineDown` | None | Scroll the transcript down by one line |
| `tui.altScreen.previousPrompt` | `ctrl+shift+up`, `ctrl+up` (`ctrl+up` only on Windows and WSL) | Jump to the previous marked message |
| `tui.altScreen.nextPrompt` | `ctrl+shift+down`, `ctrl+down` (`ctrl+down` only on Windows and WSL) | Jump to the next marked message |
| `tui.altScreen.search` | `ctrl+shift+f` (`ctrl+f` on Windows and WSL) | Search the rendered transcript |
@@ -125,18 +123,20 @@ This routing remains configurable through the ordinary action bindings. For exam
| `app.interrupt` | `escape` | Cancel / abort |
| `app.clear` | `ctrl+c` | Clear editor (first) / exit (second) |
| `app.exit` | `ctrl+d` | Exit (when editor empty) |
| `app.suspend` | `ctrl+z` (none on Windows) | Suspend to background |
| `app.suspend` | `ctrl+z` (None on Windows) | Suspend to background |
| `app.editor.external` | `ctrl+g` | Open in external editor (`externalEditor`, `$VISUAL`, `$EDITOR`, Notepad on Windows, or `nano` elsewhere) |
| `app.clipboard.pasteImage` | `ctrl+v` (`alt+v` on Windows and WSL) | Paste image or text from clipboard |
On native Windows, `app.suspend` has no default because Windows terminals do not support Unix job control. If you assign it manually, Pi shows a status message instead of suspending. WSL uses the normal `ctrl+z` and `fg` behavior.
### Sessions
| Keybinding id | Default | Description |
|--------|---------|-------------|
| `app.session.new` | *(none)* | Start a new session (`/new`) |
| `app.session.tree` | *(none)* | Open session tree navigator (`/tree`) |
| `app.session.fork` | *(none)* | Fork current session (`/fork`) |
| `app.session.resume` | *(none)* | Open session resume picker (`/resume`) |
| `app.session.new` | None | Start a new session (`/new`) |
| `app.session.tree` | None | Open session tree navigator (`/tree`) |
| `app.session.fork` | None | Fork current session (`/fork`) |
| `app.session.resume` | None | Open session resume picker (`/resume`) |
| `app.session.togglePath` | `ctrl+p` | Toggle path display |
| `app.session.toggleSort` | `ctrl+s` | Toggle sort mode |
| `app.session.toggleNamedFilter` | `ctrl+n` | Toggle named-only filter |
@@ -161,7 +161,7 @@ This routing remains configurable through the ordinary action bindings. For exam
| Keybinding id | Default | Description |
|--------|---------|-------------|
| `app.tools.expand` | `ctrl+o` | Collapse or expand tool output |
| `app.message.copy` | `ctrl+x` | Copy the selected message in `/tree`; otherwise copy the last assistant message, or the active fullscreen text selection when `fullscreenCopyOnSelect` is disabled |
| `app.message.copy` | `ctrl+x` | Copy the selected message in `/tree`; in fullscreen mode, copy the active selection when `fullscreenCopyOnSelect` is `false`; otherwise copy the last assistant message |
| `app.message.followUp` | `alt+enter` (`ctrl+q` on Windows and WSL) | Queue follow-up message |
| `app.message.dequeue` | `alt+up` (`alt+q` on Windows and WSL) | Restore queued messages to editor |
@@ -192,48 +192,3 @@ Used inside the scoped models selector (opened via `/scoped-models`).
| `app.models.toggleProvider` | `ctrl+p` | Toggle all models for the current provider |
| `app.models.reorderUp` | `alt+up` | Move the selected model up in the cycle order |
| `app.models.reorderDown` | `alt+down` | Move the selected model down in the cycle order |
## Custom Configuration
Create `~/.pi/agent/keybindings.json`:
```json
{
"tui.editor.historyPrevious": "ctrl+p",
"tui.editor.historyNext": "ctrl+n",
"tui.editor.deleteWordBackward": ["ctrl+w", "alt+backspace"]
}
```
Each action can have a single key or an array of keys. User config overrides defaults.
On native Windows, `app.suspend` has no default binding because Windows terminals do not support Unix job control. If you bind it manually, pi shows a status message instead of suspending. In WSL, the normal Linux `ctrl+z`/`fg` behavior still applies.
### Emacs Example
```json
{
"tui.editor.historyPrevious": "ctrl+p",
"tui.editor.historyNext": "ctrl+n",
"tui.editor.cursorLeft": ["left", "ctrl+b"],
"tui.editor.cursorRight": ["right", "ctrl+f"],
"tui.editor.cursorWordLeft": ["alt+left", "alt+b"],
"tui.editor.cursorWordRight": ["alt+right", "alt+f"],
"tui.editor.deleteCharForward": ["delete", "ctrl+d"],
"tui.editor.deleteCharBackward": ["backspace", "ctrl+h"],
"tui.input.newLine": ["shift+enter", "ctrl+j"]
}
```
### Vim Example
```json
{
"tui.editor.cursorUp": ["up", "alt+k"],
"tui.editor.cursorDown": ["down", "alt+j"],
"tui.editor.cursorLeft": ["left", "alt+h"],
"tui.editor.cursorRight": ["right", "alt+l"],
"tui.editor.cursorWordLeft": ["alt+left", "alt+b"],
"tui.editor.cursorWordRight": ["alt+right", "alt+w"]
}
```
packages/coding-agent/docs/llama-cpp.md
+3 -3
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@@ -1,4 +1,4 @@
# llama.cpp
# Local Models with llama.cpp
Pi supports the [llama.cpp](https://github.com/ggml-org/llama.cpp) router server. The router discovers multiple GGUF models and loads or unloads them on demand.
@@ -82,7 +82,7 @@ Hugging Face search uses `HF_TOKEN` when set, then checks `$HF_TOKEN_PATH`, `$HF
If other models are loaded, Pi asks whether to unload them first or keep them loaded. Pi does not silently unload models and never deletes model files. The router may be shared with other clients, so `/llama` always displays the router's current state.
Only loaded models appear in `/model`. After loading a model, run `/model` to select it for the current Pi session.
Loaded and sleeping models appear in `/model`. Sleeping models wake automatically when selected. With router autoload enabled, unloaded preset models also appear and load when selected. With `--no-models-autoload`, load a model through `/llama` before selecting it.
If the router disconnects, `/llama` shows **Retry** and **Close**. Retry reconnects and refreshes model state without replaying the interrupted operation.
@@ -96,6 +96,6 @@ curl http://127.0.0.1:8080/models
```
- **No models in `/llama`:** Check `--models-dir`, the directory layout, and restart the router.
- **Model missing from `/model`:** Load it with `/llama` first.
- **Model missing from `/model` with `--no-models-autoload`:** Load it with `/llama` first.
- **Load fails or uses too much memory:** Lower `-c` or unload another model.
- **Server is not in router mode:** Start it without `--model`, `-m`, or `-hf`.
packages/coding-agent/docs/message-types.md
+261
View File
@@ -0,0 +1,261 @@
# Message Types
Pi uses `AgentMessage` values in SDK state, lifecycle events, RPC responses, and persisted session message entries. This page defines those shared messages and their content blocks.
Message timestamps are Unix timestamps in milliseconds. They are different from the ISO 8601 timestamps on [session entries](session-format.md#entry-base).
Source definitions:
- [`packages/ai/src/types.ts`](https://github.com/earendil-works/pi/blob/main/packages/ai/src/types.ts) defines provider-facing messages and content blocks.
- [`packages/agent/src/types.ts`](https://github.com/earendil-works/pi/blob/main/packages/agent/src/types.ts) defines the extensible `AgentMessage` union.
- [`packages/coding-agent/src/core/messages.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/messages.ts) adds coding-agent message roles.
## Content blocks
### TextContent
```typescript
interface TextContent {
type: "text";
text: string;
textSignature?: string;
}
```
`textSignature` contains provider-specific message metadata. Treat it as opaque.
### ImageContent
```typescript
interface ImageContent {
type: "image";
data: string;
mimeType: string;
}
```
`data` is base64-encoded image data. `mimeType` identifies its media type, such as `image/png` or `image/jpeg`.
### ThinkingContent
```typescript
interface ThinkingContent {
type: "thinking";
thinking: string;
thinkingSignature?: string;
redacted?: boolean;
}
```
Thinking signatures contain provider-specific replay data. Treat them as opaque. A redacted block can have no visible thinking text while retaining an encrypted payload in `thinkingSignature`.
### ToolCall
```typescript
interface ToolCall {
type: "toolCall";
id: string;
name: string;
arguments: Record<string, any>;
thoughtSignature?: string;
namespace?: string;
}
```
`thoughtSignature` is provider-specific. `namespace` identifies an OpenAI Responses namespace for dynamically loaded or namespaced tools.
## Usage
Assistant messages always contain usage. Tool results can contain usage when the tool performed nested model work.
```typescript
interface Usage {
input: number;
output: number;
cacheRead: number;
cacheWrite: number;
cacheWrite1h?: number;
reasoning?: number;
totalTokens: number;
cost: {
input: number;
output: number;
cacheRead: number;
cacheWrite: number;
total: number;
};
}
```
When present, `reasoning` is already included in `output`; do not add it again. `cacheWrite1h` is the subset of `cacheWrite` written with one-hour retention.
## Base messages
### SystemMessage
```typescript
interface SystemMessage {
role: "system";
content: string | TextContent[];
sections?: Record<string, string | null>;
toolsAdded?: Tool[];
toolsRemoved?: ToolReference[];
replace?: boolean;
timestamp: number;
}
```
The leading system message declares the initial prompt and tools. Later system messages can append instructions, replace or remove named prompt sections, and add or remove tools. Replaying them in order yields the current state. A message with `replace: true` discards the earlier state and establishes a complete new baseline.
### UserMessage
```typescript
interface UserMessage {
role: "user";
content: string | (TextContent | ImageContent)[];
timestamp: number;
}
```
### AssistantMessage
```typescript
interface AssistantMessage {
role: "assistant";
content: (TextContent | ThinkingContent | ToolCall)[];
api: string;
provider: string;
model: string;
responseModel?: string;
responseId?: string;
providerThinkingLevel?: string;
diagnostics?: AssistantMessageDiagnostic[];
usage: Usage;
stopReason: "pending" | "stop" | "length" | "toolUse" | "error" | "aborted" | "deferred";
deferred?: DeferredHandle;
errorMessage?: string;
rawStopReason?: string;
endTurn?: boolean;
timestamp: number;
}
```
`responseModel` records a concrete provider response model when it differs from the requested model. `responseId`, `providerThinkingLevel`, `diagnostics`, and `rawStopReason` preserve provider or runtime details.
`"pending"` is used for a partial assistant message while it streams. The completed message in `message_end` has a terminal stop reason, and Pi does not persist `"pending"` assistant messages in session JSONL.
A `"deferred"` response has a `DeferredHandle` with the provider data needed to retrieve it:
```typescript
interface DeferredHandle {
provider: string;
modelId: string;
api: string;
id: string;
expiresAt?: number;
pollAfterMs?: number;
data?: JsonValue;
}
```
### ToolResultMessage
```typescript
interface ToolResultMessage<TDetails = any> {
role: "toolResult";
toolCallId: string;
toolName: string;
content: (TextContent | ImageContent)[];
details?: TDetails;
usage?: Usage;
isError: boolean;
timestamp: number;
}
```
`details` is tool-specific. Optional `usage` reports nested model work performed by the tool and contributes to full-session statistics, but it is not part of the main model-call usage.
## Coding-agent messages
The coding-agent package extends `AgentMessage` with four roles.
### BashExecutionMessage
Created by direct shell commands, including the RPC [`bash`](rpc-commands.md#bash) command. It is not an LLM tool result.
```typescript
interface BashExecutionMessage {
role: "bashExecution";
command: string;
output: string;
exitCode: number | undefined;
cancelled: boolean;
truncated: boolean;
fullOutputPath?: string;
excludeFromContext?: boolean;
timestamp: number;
}
```
Unless `excludeFromContext` is true, Pi converts this message to user-role text before the next model request.
### CustomMessage
Created when an extension sends a context message.
```typescript
interface CustomMessage<T = unknown> {
role: "custom";
customType: string;
content: string | (TextContent | ImageContent)[];
display: boolean;
details?: T;
timestamp: number;
}
```
Pi converts its content to a user message for model requests. `display` controls terminal rendering; `details` is not sent to the model.
### BranchSummaryMessage
```typescript
interface BranchSummaryMessage {
role: "branchSummary";
summary: string;
fromId: string | null;
timestamp: number;
}
```
Pi creates this context message from a persisted `branch_summary` entry.
### CompactionSummaryMessage
```typescript
interface CompactionSummaryMessage {
role: "compactionSummary";
summary: string;
tokensBefore: number;
timestamp: number;
}
```
Pi creates this context message from a persisted `compaction` entry.
## AgentMessage union
In the coding agent, the union is equivalent to:
```typescript
type AgentMessage =
| SystemMessage
| UserMessage
| AssistantMessage
| ToolResultMessage
| BashExecutionMessage
| CustomMessage
| BranchSummaryMessage
| CompactionSummaryMessage;
```
At the lower-level agent package, `AgentMessage` is `Message | CustomAgentMessages[keyof CustomAgentMessages]`. Applications can add roles through TypeScript declaration merging, so consumers should tolerate unknown custom roles when they accept messages from an augmented host.
packages/coding-agent/docs/models.md
+63 -573
View File
@@ -1,23 +1,50 @@
# Custom Models
# Choose a Model
Add custom providers and models (Ollama, vLLM, LM Studio, proxies) via `~/.pi/agent/models.json`.
For a built-in provider, start with `/login`, then choose a model with `/model`. Use custom model configuration only when Pi does not already include the provider or endpoint you need.
## Table of Contents
## Choose a connection
- [Minimal Example](#minimal-example)
- [Full Example](#full-example)
- [Supported APIs](#supported-apis)
- [Provider Configuration](#provider-configuration)
- [Model Configuration](#model-configuration)
- [Prompt Cache Lifetimes](#prompt-cache-lifetimes)
- [Overriding Built-in Providers](#overriding-built-in-providers)
- [Per-model Overrides](#per-model-overrides)
- [Anthropic Messages Compatibility](#anthropic-messages-compatibility)
- [OpenAI Compatibility](#openai-compatibility)
| What you have | Recommended setup |
|---|---|
| A supported subscription | Sign in through `/login` |
| A provider API key | Store it through `/login` or set its environment variable |
| A local GGUF model | Connect Pi to the llama.cpp router |
| An OpenAI-, Anthropic-, or Google-compatible endpoint | Add it to `models.json` |
| A provider with a custom protocol or authentication flow | Build or install a provider extension |
## Minimal Example
Browse the [model catalog](https://pi.dev/models) for current providers, model IDs, capabilities, context limits, and pricing. Pi starts with its bundled catalog and can overlay newer catalog data from pi.dev. Cached catalog data remains available offline; run `pi update --models` to force a refresh.
For local models (Ollama, LM Studio, vLLM), only `id` is required per model:
## Authenticate
Run `/login` and select a provider. Pi stores credentials in [`auth.json`](configuration.md#agent-directory). Run `/logout` to remove stored credentials for a provider.
You can instead provide an API key through the provider's environment variable. This is useful in CI and other environments where Pi should not write credentials. [Provider Authentication](providers.md) lists the variables and cloud-provider setup.
When several credential sources are configured, Pi uses a runtime `--api-key` first, then a stored `auth.json` credential, an `apiKey` from `models.json`, and finally the provider's environment variables or ambient cloud credentials. Provider extensions can define their own authentication behavior.
Keep `auth.json` and any credential commands private. Project settings and extensions can execute inside the Pi process after you trust a project. Review [Security](security.md) before loading configuration from an untrusted directory.
## Select a model
Run `/model` to search available models. The picker shows models whose providers have usable authentication. Press `Ctrl+S` on a model to save it as the default for new sessions.
Run `/thinking` to select the thinking level for the current model. Press `Ctrl+S` there to save the startup level. Pi limits the choices to levels supported by the selected model.
`Ctrl+P` cycles through available models. Use `/scoped-models` to control that cycle and save the selection, or configure model patterns through [Settings](settings.md#model-cycling).
A session records model and thinking-level changes. Resuming the session restores them without changing defaults for new sessions.
## Connect local models
Pi integrates directly with the llama.cpp router. The router discovers GGUF files and loads models on demand. Pi's `/llama` command manages the router, while `/model` selects one of its loaded models.
Follow [Local Models with llama.cpp](llama-cpp.md) for server startup, model layout, downloads, and connection troubleshooting.
For Ollama, LM Studio, vLLM, SGLang, and other compatible servers, [configure a compatible endpoint](#configure-a-compatible-endpoint) in `models.json`.
## Configure a compatible endpoint
Use [`models.json`](configuration.md#agent-directory) when an endpoint speaks an API Pi already supports. This includes most Ollama, LM Studio, vLLM, SGLang, and proxy deployments.
```json
{
@@ -27,7 +54,6 @@ For local models (Ollama, LM Studio, vLLM), only `id` is required per model:
"api": "openai-completions",
"apiKey": "ollama",
"models": [
{ "id": "llama3.1:8b" },
{ "id": "qwen2.5-coder:7b" }
]
}
@@ -35,213 +61,13 @@ For local models (Ollama, LM Studio, vLLM), only `id` is required per model:
}
```
The `apiKey` value is a placeholder because Ollama ignores it. pi still treats models as requiring auth before they appear in `/model`, so keyless local servers should keep a dummy value, save a key for that provider with `/login`, or pass `--api-key` when selecting the model.
The dummy key makes the model available to Pi; Ollama ignores it. For an authenticated endpoint, `apiKey` and header values can use `$NAME` or `${NAME}` environment interpolation, a literal value, or a leading `!command`. Commands in `models.json` run at request time and are not cached by Pi.
Some OpenAI-compatible servers do not understand the `developer` role used for reasoning-capable models. For those providers, set `compat.supportsDeveloperRole` to `false` so pi sends the system prompt as a `system` message instead. If the server also does not support `reasoning_effort`, set `compat.supportsReasoningEffort` to `false` too.
Opening `/model` reloads the file. A `models` entry adds or replaces a model with the same ID on that provider. Use `modelOverrides` to change metadata for an existing built-in or extension-provided model without replacing the provider's model list. Unknown override IDs are ignored.
You can set `compat` at the provider level to apply to all models, or at the model level to override a specific model. This commonly applies to Ollama, vLLM, SGLang, and similar OpenAI-compatible servers.
### Describe model input and caching
```json
{
"providers": {
"ollama": {
"baseUrl": "http://localhost:11434/v1",
"api": "openai-completions",
"apiKey": "ollama",
"compat": {
"supportsDeveloperRole": false,
"supportsReasoningEffort": false
},
"models": [
{
"id": "gpt-oss:20b",
"reasoning": true
}
]
}
}
}
```
## Full Example
Override defaults when you need specific values:
```json
{
"providers": {
"ollama": {
"baseUrl": "http://localhost:11434/v1",
"api": "openai-completions",
"apiKey": "ollama",
"models": [
{
"id": "llama3.1:8b",
"name": "Llama 3.1 8B (Local)",
"reasoning": false,
"input": ["text"],
"contextWindow": 128000,
"maxTokens": 32000,
"cost": { "input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0 }
}
]
}
}
}
```
The file reloads each time you open `/model`. Edit during session; no restart needed.
## Google AI Studio Example
Use `google-generative-ai` with a `baseUrl` to add models from Google AI Studio, including custom Gemma 4 entries:
```json
{
"providers": {
"my-google": {
"baseUrl": "https://generativelanguage.googleapis.com/v1beta",
"api": "google-generative-ai",
"apiKey": "$GEMINI_API_KEY",
"models": [
{
"id": "gemma-4-31b-it",
"name": "Gemma 4 31B",
"input": ["text", "image"],
"contextWindow": 262144,
"reasoning": true
}
]
}
}
}
```
The `baseUrl` is required when adding custom models to the `google-generative-ai` API type.
## Supported APIs
| API | Description |
|-----|-------------|
| `openai-completions` | OpenAI Chat Completions (most compatible) |
| `openai-responses` | OpenAI Responses API |
| `anthropic-messages` | Anthropic Messages API |
| `google-generative-ai` | Google Generative AI |
Set `api` at provider level (default for all models) or model level (override per model).
## Provider Configuration
| Field | Description |
|-------|-------------|
| `baseUrl` | API endpoint URL |
| `api` | API type (see above) |
| `apiKey` | Optional API key config (see value resolution below). Omit it when auth is provided by `/login`/`auth.json` or CLI `--api-key`. |
| `oauth` | Dynamic OAuth provider type. Currently supports `"radius"`; requires the gateway `baseUrl`. |
| `headers` | Custom headers (see value resolution below) |
| `authHeader` | Set `true` to add `Authorization: Bearer <apiKey>` automatically |
| `models` | Array of model configurations |
| `modelOverrides` | Per-model overrides for built-in or extension-registered models on this provider |
For providers with `models`, non-built-in provider configs need `baseUrl` and an `api` value at either provider or model level. `apiKey` is not required to load the file: models become available when auth is configured through `/login`/`auth.json`, CLI `--api-key`, or provider `apiKey`. If no auth is configured, the models load but stay unavailable in `/model` and `--list-models`.
### Value Resolution
The `apiKey` and `headers` fields support command execution, environment interpolation, and literals:
- **Shell command:** `"!command"` at the start executes the whole value as a command and uses stdout
```json
"apiKey": "!security find-generic-password -ws 'anthropic'"
"apiKey": "!op read 'op://vault/item/credential'"
```
- **Environment interpolation:** `"$ENV_VAR"` or `"${ENV_VAR}"` uses the value of the named variable. Interpolation works inside larger literals.
```json
"apiKey": "$MY_API_KEY"
"apiKey": "${KEY_PREFIX}_${KEY_SUFFIX}"
```
`$FOO_BAR` is the variable `FOO_BAR`; use `${FOO}_BAR` when `BAR` is literal text. Missing environment variables make the value unresolved.
- **Escapes:** `"$$"` emits a literal `"$"`; `"$!"` emits a literal `"!"` without triggering command execution.
```json
"apiKey": "$$literal-dollar-prefix"
"apiKey": "$!literal-bang-prefix"
```
- **Literal value:** Used directly. Plain uppercase strings such as `MY_API_KEY` are literals; use `$MY_API_KEY` for environment variables.
```json
"apiKey": "sk-..."
```
For `models.json`, shell commands are resolved at request time. pi intentionally does not apply built-in TTL, stale reuse, or recovery logic for arbitrary commands. Different commands need different caching and failure strategies, and pi cannot infer the right one.
If your command is slow, expensive, rate-limited, or should keep using a previous value on transient failures, wrap it in your own script or command that implements the caching or TTL behavior you want.
`/model` availability checks use configured auth presence and do not execute shell commands.
### Custom Headers
```json
{
"providers": {
"custom-proxy": {
"baseUrl": "https://proxy.example.com/v1",
"apiKey": "$MY_API_KEY",
"api": "anthropic-messages",
"headers": {
"x-portkey-api-key": "$PORTKEY_API_KEY",
"x-secret": "!op read 'op://vault/item/secret'"
},
"models": [...]
}
}
}
```
## Model Configuration
| Field | Required | Default | Description |
|-------|----------|---------|-------------|
| `id` | Yes | — | Model identifier (passed to the API) |
| `name` | No | `id` | Human-readable model label. Used for matching (`--model` patterns) and shown as secondary model detail text. |
| `api` | No | provider's `api` | Override provider's API for this model |
| `reasoning` | No | `false` | Supports extended thinking |
| `thinkingLevelMap` | No | omitted | Maps pi thinking levels to provider values and marks unsupported levels (see below) |
| `input` | No | `["text"]` | Input types: `["text"]` or `["text", "image"]` |
| `inputLimits` | No | omitted | Request limits and image preprocessing for this model (see below) |
| `contextWindow` | No | `128000` | Context window size in tokens |
| `maxTokens` | No | `16384` | Maximum output tokens |
| `samplingParams` | No | omitted | Sampling parameters merged verbatim into every request body (see below) |
| `cost` | No | all zeros | Per-million-token rates with optional request-wide input pricing tiers |
| `promptCache` | No | omitted | Best-effort prompt cache lifetime in seconds per retention tier (see below) |
| `compat` | No | provider `compat` | Provider compatibility overrides. Merged with provider-level `compat` when both are set. |
A cost tier supplies a complete alternate rate set and applies to the full request when total input usage (`input + cacheRead + cacheWrite`) exceeds `inputTokensAbove`. When multiple tiers match, the highest threshold wins.
```json
{
"cost": {
"input": 5,
"output": 30,
"cacheRead": 0.5,
"cacheWrite": 6.25,
"tiers": [
{
"inputTokensAbove": 272000,
"input": 10,
"output": 45,
"cacheRead": 1,
"cacheWrite": 12.5
}
]
}
}
```
Current behavior:
- `/model`, `--list-models`, and the interactive footer display entries by model `id`.
- The configured `name` is used for model matching and secondary model detail text. It does not replace the footer/status-bar model id.
### Image Input Limits
Use `inputLimits.images.resize` to configure how new images are encoded before they enter conversation history:
Use `inputLimits.images.resize` to control how Pi encodes new image attachments, `read` results, and tool-result images before storing them in conversation history:
```json
{
@@ -260,374 +86,38 @@ Use `inputLimits.images.resize` to configure how new images are encoded before t
}
```
`maxBytes` is the maximum base64-encoded payload size. Omitted resize fields use pi's conservative defaults: 2000×2000, 4.5 MiB encoded, and JPEG quality 80. Built-in vision models carry that profile explicitly so unknown gateways never receive larger images than before.
`maxBytes` limits the base64-encoded payload. Omitted resize fields use conservative defaults of 2000 by 2000 pixels, 4.5 MiB encoded, and JPEG quality 80. Images are encoded once; changing models does not rewrite historical images. The catalog can also describe hard request limits with `inputLimits.maxRequestBytes`, `images.maxPerMessage`, and `images.maxPerRequest`, but Pi does not yet rewrite or reject history based on them.
Pi applies the selected model's resize profile to `@file` attachments, the `read` tool, and images returned by tools. Images are encoded once before they enter history; changing models does not rewrite historical images or invalidate the cached conversation prefix. The `images.autoResize` setting can disable resizing globally.
<a id="prompt-cache-lifetimes"></a>
The catalog can also record `inputLimits.maxRequestBytes`, `images.maxPerMessage`, and `images.maxPerRequest`. These fields describe hard provider limits; this initial implementation does not yet rewrite or reject conversation history based on them.
### Prompt Cache Lifetimes
`promptCache` states how long the provider keeps a prompt cache entry alive for each retention tier pi can request (`short` is the default tier; `long` is used when `PI_CACHE_RETENTION=long`). Values are seconds and are estimates: providers publish ranges, so pick the conservative end.
Use `promptCache` to declare the provider's best-effort cache lifetime in seconds for the `short` or `long` retention tier:
```json
{
"id": "claude-sonnet-5",
"promptCache": { "short": 300, "long": 3600 }
}
{ "id": "claude-sonnet-5", "promptCache": { "short": 300, "long": 3600 } }
```
The built-in catalog fills this in for direct Anthropic (5 min / 1 h). Other providers, including direct OpenAI, have no built-in lifetime until their cache-expiry and replay behavior has been validated for warming. A model without a value for the tier a request used is never warmed; custom models and provider overrides can opt in when the backing cache behavior is known. See [Cache Warming](settings.md#cache-warming).
Choose the conservative end of any published range. A model without a lifetime for the active tier is not eligible for cache warming. A `modelOverrides` entry can set `inputLimits` or `promptCache` for a built-in or extension model, including a model accessed through a validated proxy. See [`cacheWarming`](settings.md#model-and-thinking).
### Sampling Parameters
Compatibility settings should describe verified differences in the endpoint's request or response behavior. Do not enable them based only on an endpoint advertising OpenAI or Anthropic compatibility.
`samplingParams` is a free-form object merged verbatim into every request body for the model, after the fields pi sets itself, so its keys win. Use it to send sampling parameters pi does not model — including server-specific ones like llama.cpp's `min_p` or vLLM's `top_k`:
## Add a custom provider
```json
{
"id": "deepseek-v4-flash",
"samplingParams": {
"temperature": 1.0,
"top_p": 0.95,
"top_k": 0,
"min_p": 0.0
}
}
```
Use an extension when the provider needs custom streaming, model discovery, or authentication behavior. See [Custom Providers](custom-provider.md) for the extension workflow.
Only OpenAI-compatible APIs apply it (`openai-completions`, `openai-responses`, `azure-openai-responses`); other APIs ignore it. Keys override pi's named request fields (for example a `temperature` key here beats the request-level temperature), so prefer it as the single source of sampling truth for a model. In `modelOverrides`, `samplingParams` merges per key with the base model's value.
## Troubleshooting
A constant thinking-token cap can go here too, but it will not follow `thinkingBudgets` or leave room for the answer. Prefer `compat.thinkingTokenBudgetField` (or the `supportsThinkingTokenBudget` alias) for that.
### A model does not appear
### Thinking Level Map
Confirm that its provider has usable authentication. Custom models can load from `models.json` but remain unavailable in `/model` until Pi can resolve credentials. For llama.cpp, only models currently loaded by the router appear.
Use `thinkingLevelMap` on a model to describe model-specific thinking controls. Keys are pi thinking levels: `off`, `minimal`, `low`, `medium`, `high`, `xhigh`, `max`. Maps may contain holes; for example, a model can expose `high` and `max` without exposing `xhigh`.
### Authentication works in one shell only
Values are tristate:
Check whether the key came from an environment variable rather than `auth.json`. Environment variables must be present in the process that starts Pi.
| Value | Meaning |
|-------|---------|
| omitted | Standard levels through `high` use the provider's default mapping; extended `xhigh` and `max` levels are unsupported |
| string | Level is supported and this value is sent to the provider |
| `null` | Level is unsupported and hidden/skipped/clamped away |
### Sign-in opens a browser on a remote machine
Example for a model that only supports off, high, and max reasoning:
Complete the provider's headless authentication flow when available. Some providers let you paste the final redirect URL or authorization code back into Pi. See [Authenticate interactively](providers.md#authenticate-interactively).
```json
{
"id": "deepseek-v4-pro",
"reasoning": true,
"thinkingLevelMap": {
"minimal": null,
"low": null,
"medium": null,
"high": "high",
"xhigh": null,
"max": "max"
}
}
```
### A compatible endpoint rejects requests
Example for a model where thinking cannot be disabled:
```json
{
"id": "always-thinking-model",
"reasoning": true,
"thinkingLevelMap": {
"off": null
}
}
```
Migration: older configs that used `compat.reasoningEffortMap` should move that mapping to model-level `thinkingLevelMap`. Use `null` for levels that should not appear in the UI.
## Overriding Built-in Providers
Route a built-in provider through a proxy without redefining models:
```json
{
"providers": {
"anthropic": {
"baseUrl": "https://my-proxy.example.com/v1"
}
}
}
```
All built-in Anthropic models remain available. Existing OAuth or API key auth continues to work.
To merge custom models into a built-in provider, include the `models` array:
```json
{
"providers": {
"anthropic": {
"baseUrl": "https://my-proxy.example.com/v1",
"apiKey": "$ANTHROPIC_API_KEY",
"api": "anthropic-messages",
"models": [...]
}
}
}
```
Merge semantics:
- Built-in models are kept.
- Custom models are upserted by `id` within the provider.
- If a custom model `id` matches a built-in model `id`, the custom model replaces that built-in model.
- If a custom model `id` is new, it is added alongside built-in models.
## Per-model Overrides
Use `modelOverrides` to customize built-in models and matching extension-registered models without replacing the provider's full model list.
```json
{
"providers": {
"openrouter": {
"modelOverrides": {
"anthropic/claude-sonnet-4": {
"name": "Claude Sonnet 4 (Bedrock Route)",
"compat": {
"openRouterRouting": {
"only": ["amazon-bedrock"]
}
}
}
}
}
}
}
```
`modelOverrides` supports these fields per model: `name`, `reasoning`, `thinkingLevelMap`, `input`, `inputLimits` (deep-merged), `cost` (partial), `promptCache` (merged per tier), `contextWindow`, `maxTokens`, `samplingParams` (merged per key), `headers`, `compat`.
Use a `promptCache` override to enable cache warming through a proxy whose backing cache you know, for example OpenRouter routed to Anthropic:
```json
{
"providers": {
"openrouter": {
"modelOverrides": {
"anthropic/claude-sonnet-4": {
"promptCache": { "short": 300 }
}
}
}
}
}
```
Direct OpenAI GPT-5.6 Sol, Terra, and Luna default to a `272000` context window so requests remain within OpenAI's short-context pricing tier. To opt into OpenAI's 1.05M context window, increase it for each model you use:
```json
{
"providers": {
"openai": {
"modelOverrides": {
"gpt-5.6-sol": {
"contextWindow": 1050000
}
}
}
}
}
```
The override preserves the built-in pricing metadata. Requests with more than 272K total input tokens use GPT-5.6's long-context rates for the entire request. Apply the same override to `gpt-5.6-terra` or `gpt-5.6-luna` when needed.
Behavior notes:
- `modelOverrides` are applied to built-in provider models and matching extension-registered provider models.
- Unknown model IDs are ignored.
- You can combine provider-level `baseUrl`/`headers` with `modelOverrides`.
- Overriding `name` changes model matching and secondary detail text only; the footer and primary model lists continue to show the model `id`.
- If `models` is also defined for a provider, custom models are merged after built-in overrides. A custom model with the same `id` replaces the overridden built-in model entry.
## Anthropic Messages Compatibility
For providers or proxies using `api: "anthropic-messages"`, use `compat` to control Anthropic-specific request compatibility.
By default pi sends per-tool `eager_input_streaming: true`. If a proxy or Anthropic-compatible backend rejects that field, set `supportsEagerToolInputStreaming` to `false`. Pi will omit `tools[].eager_input_streaming` and send the legacy `fine-grained-tool-streaming-2025-05-14` beta header for tool-enabled requests instead.
Some Anthropic models require adaptive thinking (`thinking.type: "adaptive"` plus `output_config.effort`) instead of the legacy budget-based thinking payload. Built-in models set this automatically. For custom providers or aliases that route to those models, set `forceAdaptiveThinking` to `true`.
Claude models with per-turn effort support use `supportsMidConvoEffort`. Pi then persists each response's provider effort, reconstructs effort-only system messages on later requests, and sends thinking binding controls with `prefix_mismatch_behavior: "drop_block"` to avoid stale signed-thinking prefixes causing persistent 400 responses. Set this only for the exact supported Claude model on a faithful Anthropic Messages transport; do not enable it for APIs that merely imitate the Messages shape.
Some Anthropic-compatible providers emit thinking blocks with empty signatures and still expect them on replay. Set `allowEmptySignature` to `true` only for those providers; real Anthropic rejects empty thinking signatures.
Built-in Anthropic models enable `supportsStrictTools` in their model metadata. Custom Anthropic-compatible models must set it to `true` when their endpoint accepts strict JSON-schema tool definitions.
```json
{
"providers": {
"anthropic-proxy": {
"baseUrl": "https://proxy.example.com",
"api": "anthropic-messages",
"apiKey": "$ANTHROPIC_PROXY_KEY",
"compat": {
"supportsEagerToolInputStreaming": false,
"supportsLongCacheRetention": true,
"forceAdaptiveThinking": true,
"allowEmptySignature": true
},
"models": [
{
"id": "claude-opus-4-7",
"reasoning": true,
"input": ["text", "image"]
}
]
}
}
}
```
| Field | Description |
|-------|-------------|
| `supportsEagerToolInputStreaming` | Whether the provider accepts per-tool `eager_input_streaming`. Default: `true`. Set to `false` to omit that field and use the legacy fine-grained tool streaming beta header on tool-enabled requests. |
| `supportsLongCacheRetention` | Whether the provider accepts Anthropic long cache retention (`cache_control.ttl: "1h"`) when cache retention is `long`. Default: `true`. |
| `sendSessionAffinityHeaders` | Whether to send `x-session-affinity` from the session id when caching is enabled. Default: auto-detected for known providers. |
| `supportsCacheControlOnTools` | Whether the provider accepts Anthropic-style `cache_control` markers on tool definitions. Default: `true`. |
| `forceAdaptiveThinking` | Whether to send adaptive thinking (`thinking.type: "adaptive"` plus `output_config.effort`) for this model. Built-in adaptive models set this automatically. Default: `false`. |
| `supportsMidConvoEffort` | Whether the exact Claude model transport supports per-turn effort system messages and thinking binding controls. Pi persists native effort levels and always sends `drop_block` when enabled. Default: `false`. |
| `allowEmptySignature` | Whether to replay empty thinking signatures as `signature: ""` instead of converting thinking to text. Default: `false`. |
| `supportsStrictTools` | Whether the provider accepts strict JSON-schema tool definitions. Default: `false`; built-in Anthropic models enable it in generated metadata. |
| `allowedFallbackModels` | Up to three server-side fallback models, each with `provider`, `model`, and complete `cost` metadata. An empty array disables fallback. |
## OpenAI Compatibility
For providers with partial OpenAI compatibility, use the `compat` field.
- Provider-level `compat` applies defaults to all models under that provider.
- Model-level `compat` overrides provider-level values for that model.
```json
{
"providers": {
"local-llm": {
"baseUrl": "http://localhost:8080/v1",
"api": "openai-completions",
"compat": {
"supportsUsageInStreaming": false,
"maxTokensField": "max_tokens"
},
"models": [...]
}
}
}
```
| Field | Description |
|-------|-------------|
| `supportsStore` | Provider supports `store` field |
| `supportsDeveloperRole` | Use `developer` vs `system` role |
| `supportsReasoningEffort` | Support for `reasoning_effort` parameter |
| `supportsUsageInStreaming` | Supports `stream_options: { include_usage: true }` (default: `true`) |
| `supportsFinishReason` | Whether streamed responses include `finish_reason`. When `false`, pi infers `stop` or `toolUse` when the stream ends. Default: `true`. |
| `maxTokensField` | Use `max_completion_tokens` or `max_tokens` |
| `requiresToolResultName` | Include `name` on tool result messages |
| `requiresAssistantAfterToolResult` | Insert an assistant message before a user message after tool results |
| `requiresThinkingAsText` | Convert thinking blocks to plain text |
| `requiresReasoningContentOnAssistantMessages` | Include empty `reasoning_content` on all replayed assistant messages when reasoning is enabled |
| `thinkingFormat` | Use `reasoning_effort`, `openrouter`, `deepseek`, `together`, `baseten`, `zai`, `qwen`, `chat-template`, or `qwen-chat-template` thinking parameters |
| `chatTemplateKwargs` | `chat_template_kwargs` values for `thinkingFormat: "chat-template"`; use `{ "$var": "thinking.enabled" }`, `{ "$var": "thinking.effort" }`, or `{ "$var": "thinking.budget" }` for pi-controlled thinking values |
| `chatTemplateArgs` | `chat_template_args` values for `thinkingFormat: "baseten"`; use `{ "$var": "thinking.enabled" }`, `{ "$var": "thinking.effort" }`, or `{ "$var": "thinking.budget" }` for pi-controlled thinking values |
| `thinkingTokenBudgetField` | Top-level request field used to cap reasoning tokens from `thinkingBudgets`, clamped so at least 1024 tokens remain for the answer. `"thinking_token_budget"` (vLLM), `"thinking_budget"` (Qwen/DashScope/SGLang), `"thinking_budget_tokens"` (llama.cpp). Off by default; not set on the generated catalog. |
| `supportsThinkingTokenBudget` | Alias for `thinkingTokenBudgetField: "thinking_token_budget"` (vLLM). Prefer `thinkingTokenBudgetField`. Default: `false`. |
| `cacheControlFormat` | Use Anthropic-style `cache_control` markers on the system prompt, last tool definition, and last user, assistant, or tool-result text content. Currently only `anthropic` is supported. |
| `sendSessionAffinityHeaders` | For `openai-completions`, send session-affinity headers from the session id when caching is enabled. Default: `false`. |
| `sessionAffinityFormat` | For `openai-completions` and `openai-responses`, the session-affinity header format: `openai` sends `session_id`/`x-client-request-id` (completions also `x-session-affinity`), `openai-nosession` omits the underscore-containing `session_id` header, `openrouter` sends `x-session-id`. Does not affect the `prompt_cache_key` body param. Default: auto-detected. |
| `supportsStrictMode` | Whether the provider accepts strict JSON-schema function tool definitions. Defaults depend on the API; built-in OpenAI models carry explicit capability metadata. |
| `supportsOpenAIGrammarTools` | Whether OpenAI-compatible APIs emit custom Lark/regex grammar tools. When `false`, grammar-constrained tools fall back to normal function tools. Default: `false`; the built-in model catalog enables it for GPT-5+ models on OpenAI, OpenAI Codex, Azure OpenAI, GitHub Copilot, opencode, and Cloudflare AI Gateway. |
| `supportsLongCacheRetention` | Whether the provider accepts long cache retention when cache retention is `long`: `prompt_cache_options.ttl: "30m"` for GPT-5.6+ Responses models, `prompt_cache_retention: "24h"` for earlier OpenAI models, or `cache_control.ttl: "1h"` when `cacheControlFormat` is `anthropic`. Default: `true`. |
| `openRouterRouting` | OpenRouter provider routing preferences. This object is sent as-is in the `provider` field of the [OpenRouter API request](https://openrouter.ai/docs/guides/routing/provider-selection). |
| `vercelGatewayRouting` | Vercel AI Gateway routing config for provider selection (`only`, `order`) |
`openrouter` uses `reasoning: { effort }`. `together` uses `reasoning: { enabled }` and also `reasoning_effort` when `supportsReasoningEffort` is enabled. `qwen` uses top-level `enable_thinking`. Use `qwen-chat-template` for local Qwen-compatible servers that require `chat_template_kwargs.enable_thinking` and `preserve_thinking`. Use `chat-template` for vLLM/Hugging Face chat templates that need configurable `chat_template_kwargs`, such as `chatTemplateKwargs: { "thinking": { "$var": "thinking.enabled" } }` for DeepSeek V3.x templates. Use `thinkingFormat: "baseten"` with `chatTemplateArgs` for providers that expose toggle controls through `chat_template_args` and optionally support top-level `reasoning_effort`.
`thinkingTokenBudgetField` is independent of `thinkingFormat`. Do not enable it on the generated Qwen catalog: those models already send `reasoning_effort`, and DashScope rejects `thinking_budget` together with `reasoning_effort`.
`cacheControlFormat: "anthropic"` is for OpenAI-compatible providers that expose Anthropic-style prompt caching through `cache_control` markers on text content and tool definitions.
Example:
```json
{
"providers": {
"openrouter": {
"baseUrl": "https://openrouter.ai/api/v1",
"apiKey": "$OPENROUTER_API_KEY",
"api": "openai-completions",
"models": [
{
"id": "openrouter/anthropic/claude-3.5-sonnet",
"name": "OpenRouter Claude 3.5 Sonnet",
"compat": {
"openRouterRouting": {
"allow_fallbacks": true,
"require_parameters": false,
"data_collection": "deny",
"zdr": true,
"enforce_distillable_text": false,
"order": ["anthropic", "amazon-bedrock", "google-vertex"],
"only": ["anthropic", "amazon-bedrock"],
"ignore": ["gmicloud", "friendli"],
"quantizations": ["fp16", "bf16"],
"sort": {
"by": "price",
"partition": "model"
},
"max_price": {
"prompt": 10,
"completion": 20
},
"preferred_min_throughput": {
"p50": 100,
"p90": 50
},
"preferred_max_latency": {
"p50": 1,
"p90": 3,
"p99": 5
}
}
}
}
]
}
}
}
```
Vercel AI Gateway example:
```json
{
"providers": {
"vercel-ai-gateway": {
"baseUrl": "https://ai-gateway.vercel.sh/v1",
"apiKey": "$AI_GATEWAY_API_KEY",
"api": "openai-completions",
"models": [
{
"id": "moonshotai/kimi-k2.5",
"name": "Kimi K2.5 (Fireworks via Vercel)",
"reasoning": true,
"input": ["text", "image"],
"cost": { "input": 0.6, "output": 3, "cacheRead": 0, "cacheWrite": 0 },
"contextWindow": 262144,
"maxTokens": 262144,
"compat": {
"vercelGatewayRouting": {
"only": ["fireworks", "novita"],
"order": ["fireworks", "novita"]
}
}
}
]
}
}
}
```
Check its API type and compatibility settings in `models.json`. The upstream server must support the corresponding request fields and behavior.
packages/coding-agent/docs/packages.md
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@@ -1,228 +1,127 @@
> pi can help you create pi packages. Ask it to bundle your extensions, skills, prompt templates, or themes.
# Pi Packages
Pi packages bundle extensions, skills, prompt templates, and themes so you can share them through npm or git. A package can declare resources in `package.json` under the `pi` key, or use conventional directories.
Pi packages install and distribute extensions, skills, prompt templates, and themes as one unit. Use a package when a customization should be shared through npm or git, or when several resources belong together.
## Table of Contents
A package is an ordinary directory or npm package. It can expose conventional resource directories, declare explicit paths under the `pi` key in `package.json`, and carry its own runtime dependencies.
- [Install and Manage](#install-and-manage)
- [Package Sources](#package-sources)
- [Creating a Pi Package](#creating-a-pi-package)
- [Package Structure](#package-structure)
- [Dependencies](#dependencies)
- [Package Filtering](#package-filtering)
- [Enable and Disable Resources](#enable-and-disable-resources)
- [Scope and Deduplication](#scope-and-deduplication)
## Install and manage packages
## Install and Manage
> **Security:** Pi packages run with full system access. Extensions execute arbitrary code, and skills can instruct the model to perform any action including running executables. Review source code before installing third-party packages.
Install from npm, git, or a local path:
```bash
pi install npm:@foo/bar@1.0.0
pi install git:github.com/user/repo@v1
pi install https://github.com/user/repo # raw URLs work too
pi install /absolute/path/to/package
pi install ./relative/path/to/package
pi remove npm:@foo/bar
pi list # show installed packages from settings
pi update # update pi only
pi update --all # update pi, update packages, and reconcile pinned git refs
pi update --extensions # update packages and reconcile pinned git refs only
pi update --models # refresh model catalogs only
pi update --self # update pi only
pi update --self --force # reinstall pi even if current
pi update npm:@foo/bar # update one package
pi update --extension npm:@foo/bar
pi install npm:@example/pi-tools@1.0.0
pi install git:github.com/example/pi-tools@v1
pi install ./local-package
```
These commands manage pi packages and `pi update` can update the pi CLI installation. For experimental installer-managed installations, `pi update` installs the exact checked version into a staged, lockfile-backed release and activates it only after verification, leaving the current release intact if the update fails. Managed installations do not support `--force`; rerun the installer to repair one. To uninstall pi itself, see [Quickstart](quickstart.md#uninstall).
`pi list` shows configured packages. Use `pi remove <source>` to remove one and `pi update --extensions` to reconcile package installations. See [Command Line](cli.md#package-commands) for every package command and option.
By default, `install` and `remove` write to user settings (`~/.pi/agent/settings.json`). Use `-l` to write to project settings (`.pi/settings.json`) instead. Project settings can be shared with your team, and pi installs any missing packages automatically on startup after the project is trusted.
Personal installs are written to `~/.pi/agent/settings.json`. Add `--local` or `-l` to write the package declaration to `.pi/settings.json`. Pi reads declarations from that file only after project trust is granted.
To try a package without installing it, use `--extension` or `-e`. This installs to a temporary directory for the current run only:
Project packages are installed and loaded only after project trust is resolved. Packages can execute extension code and can include skills that instruct the model to run programs. Review third-party package source before installing it. Review project package declarations before granting project trust.
Use `--extension` or `-e` to try a package for one invocation without adding it to settings:
```bash
pi -e npm:@foo/bar
pi -e git:github.com/user/repo
pi -e npm:@example/pi-tools
```
## Package Sources
## Choose a source
Pi accepts three source types in settings and `pi install`.
| Source | Example | Behavior |
|---|---|---|
| npm | `npm:@example/pi-tools@1.0.0` | Installed under the Pi npm directory |
| git | `git:github.com/example/pi-tools@v1` | Cloned and reconciled to the selected ref |
| URL | `https://github.com/example/pi-tools` | Treated as a git source |
| Local | `./pi-tools` | Loaded from the resolved path without copying |
### npm
Versioned npm specifications are pinned. Git tags and commits are also pinned; package updates reconcile the checkout but do not move a configured ref.
```
npm:@scope/pkg@1.2.3
npm:pkg
Relative local paths resolve from the settings file that contains them. A file path loads one extension. A directory follows normal package discovery rules.
## Create a package
The simplest package uses conventional directories:
```text
my-pi-package/
├── package.json
├── extensions/
├── skills/
├── prompts/
└── themes/
```
- Versioned specs are pinned and skipped by package updates (`pi update --extensions`, `pi update --all`).
- User installs go under `~/.pi/agent/npm/`.
- Project installs go under `.pi/npm/`.
- Set `npmCommand` in `settings.json` to pin npm package lookup and install operations to a specific wrapper command such as `mise` or `asdf`.
Without a `pi` manifest, Pi discovers TypeScript and JavaScript extensions, skill directories, Markdown prompts, and JSON themes from those directories.
Example:
Use an explicit manifest when resources live elsewhere or need filtering:
```json
{
"npmCommand": ["mise", "exec", "node@20", "--", "npm"]
}
```
### git
```
git:github.com/user/repo@v1
git:git@github.com:user/repo@v1
https://github.com/user/repo@v1
ssh://git@github.com/user/repo@v1
```
- Without `git:` prefix, only protocol URLs are accepted (`https://`, `http://`, `ssh://`, `git://`).
- With `git:` prefix, shorthand formats are accepted, including `github.com/user/repo` and `git@github.com:user/repo`.
- HTTPS and SSH URLs are both supported.
- SSH URLs use your configured SSH keys automatically (respects `~/.ssh/config`).
- For non-interactive runs (for example CI), you can set `GIT_TERMINAL_PROMPT=0` to disable credential prompts and set `GIT_SSH_COMMAND` (for example `ssh -o BatchMode=yes -o ConnectTimeout=5`) to fail fast.
- Refs are pinned tags or commits. `pi update --extensions` and `pi update --all` do not move them to newer refs, but they do reconcile an existing clone to the configured ref.
- Use `pi install git:host/user/repo@new-ref` to update settings and move an existing package to a new pinned ref.
- Cloned to `~/.pi/agent/git/<host>/<path>` (global) or `.pi/git/<host>/<path>` (project).
- When reconciliation changes the checkout, pi resets and cleans the clone, then runs `npm install` if `package.json` exists.
**SSH examples:**
```bash
# git@host:path shorthand (requires git: prefix)
pi install git:git@github.com:user/repo
# ssh:// protocol format
pi install ssh://git@github.com/user/repo
# With version ref
pi install git:git@github.com:user/repo@v1.0.0
```
### Local Paths
```
/absolute/path/to/package
./relative/path/to/package
```
Local paths point to files or directories on disk and are added to settings without copying. Relative paths are resolved against the settings file they appear in. If the path is a file, it loads as a single extension. If it is a directory, pi loads resources using package rules.
## Creating a Pi Package
Add a `pi` manifest to `package.json` or use conventional directories. Include the `pi-package` keyword for discoverability.
```json
{
"name": "my-package",
"name": "my-pi-package",
"keywords": ["pi-package"],
"pi": {
"extensions": ["./extensions"],
"skills": ["./skills"],
"prompts": ["./prompts"],
"themes": ["./themes"]
"extensions": ["./src/extension.ts"],
"skills": ["./resources/skills"],
"prompts": ["./resources/prompts/*.md"],
"themes": ["./resources/themes/*.json"]
}
}
```
Paths are relative to the package root. Arrays support glob patterns and `!exclusions`. Positive manifest globs discover visible paths in lexical order. List dot-prefixed paths directly. If a glob would need to continue through a symlink, list the symlinked resource root directly.
Paths are relative to the package root. Arrays accept glob patterns and exclusions. List dot-prefixed or symlinked resource roots directly when traversal through a glob would not discover them.
### Gallery Metadata
The `pi-package` keyword makes an npm package eligible for discovery in the [Pi package gallery](https://pi.dev/packages). Optional `pi.image` and `pi.video` fields add gallery previews.
The [package gallery](https://pi.dev/packages) displays packages tagged with `pi-package`. Add `video` or `image` fields to show a preview:
## Declare dependencies
```json
{
"name": "my-package",
"keywords": ["pi-package"],
"pi": {
"extensions": ["./extensions"],
"video": "https://example.com/demo.mp4",
"image": "https://example.com/screenshot.png"
}
}
```
Put runtime packages imported by extensions in `dependencies`. Pi installs package dependencies when it installs an npm or git source.
- **video**: MP4 only. On desktop, autoplays on hover. Clicking opens a fullscreen player.
- **image**: PNG, JPEG, GIF, or WebP. Displayed as a static preview.
Pi supplies these packages to extensions and skills:
If both are set, video takes precedence.
- `@earendil-works/pi-ai`
- `@earendil-works/pi-agent-core`
- `@earendil-works/pi-coding-agent`
- `@earendil-works/pi-tui`
- `typebox`
## Package Structure
Declare imported Pi packages in `peerDependencies` with a `"*"` range and do not bundle them. Other Pi packages used as dependencies must be included in the published tarball and referenced through their `node_modules` resource paths.
### Convention Directories
Installed packages load with separate module roots. Do not rely on two packages sharing one dependency instance or one package resolving another package’s undeclared dependency.
If no `pi` manifest is present, pi auto-discovers resources from these directories:
## Select package resources
- `extensions/` loads `.ts` and `.js` files
- `skills/` recursively finds `SKILL.md` folders and loads top-level `.md` files as skills
- `prompts/` loads `.md` files
- `themes/` loads `.json` files
## Dependencies
Third party runtime dependencies belong in `dependencies` in `package.json`. Dependencies that do not register extensions, skills, prompt templates, or themes also belong in `dependencies`. When pi installs a package from npm or git, it runs `npm install`, so those dependencies are installed automatically.
Pi bundles core packages for extensions and skills. If you import any of these, list them in `peerDependencies` with a `"*"` range and do not bundle them: `@earendil-works/pi-ai`, `@earendil-works/pi-agent-core`, `@earendil-works/pi-coding-agent`, `@earendil-works/pi-tui`, `typebox`.
Other pi packages must be bundled in your tarball. Add them to `dependencies` and `bundledDependencies`, then reference their resources through `node_modules/` paths. Pi loads packages with separate module roots, so separate installs do not collide or share modules.
Example:
```json
{
"dependencies": {
"shitty-extensions": "^1.0.1"
},
"bundledDependencies": ["shitty-extensions"],
"pi": {
"extensions": ["extensions", "node_modules/shitty-extensions/extensions"],
"skills": ["skills", "node_modules/shitty-extensions/skills"]
}
}
```
## Package Filtering
Filter what a package loads using the object form in settings:
The object form in settings narrows which resources load from a package:
```json
{
"packages": [
"npm:simple-pkg",
{
"source": "npm:my-package",
"source": "npm:@example/pi-tools",
"extensions": ["extensions/*.ts", "!extensions/legacy.ts"],
"skills": [],
"prompts": ["prompts/review.md"],
"themes": ["+themes/legacy.json"]
"prompts": ["prompts/review.md"]
}
]
}
```
`+path` and `-path` are exact paths relative to the package root.
For each resource type:
- Omit a key to load all of that type.
- Omit the property to load everything allowed by the package.
- Use `[]` to load none of that type.
- `!pattern` excludes matches.
- `+path` force-includes an exact path.
- `-path` force-excludes an exact path.
- Filters layer on top of the manifest. They narrow down what is already allowed.
- Use `!pattern` to exclude glob matches.
- Use `+path` to include one exact allowed path.
- Use `-path` to exclude one exact path.
## Enable and Disable Resources
Filters narrow the package manifest. They do not expose resources that the package itself did not declare.
Use `pi config` to enable or disable extensions, skills, prompt templates, and themes from installed packages and local directories. `pi config` starts in global settings (`~/.pi/agent/settings.json`); press Tab to switch between global and project-local modes. Use `pi config -l` to start in project overrides (`.pi/settings.json`) with inherited global resources dimmed.
Run `pi config` to enable or disable discovered resources. It starts with personal configuration; press Tab to switch scope, or run `pi config --local` to start with project overrides.
## Scope and Deduplication
## Understand scope and identity
Packages can appear in both global and project settings. If the same package appears in both, the project entry wins unless the project entry has `autoload: false`, in which case it is applied as a delta over the global entry. Identity is determined by:
The same package can appear in personal and project settings. A project entry normally replaces the personal entry. With `autoload: false`, the project entry instead acts as a filtering delta over the personal package.
- npm: package name
- git: repository URL without ref
- local: resolved absolute path
Pi identifies npm packages by package name, git packages by repository URL without the ref, and local packages by resolved absolute path. This prevents the same package from loading twice through equivalent declarations.
Use [Extensions](extensions.md), [Skills](skills.md), [Prompt Templates](prompt-templates.md), and [Themes](themes.md) to design each resource before packaging it.
packages/coding-agent/docs/prompt-templates.md
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> pi can create prompt templates. Ask it to build one for your workflow.
# Prompt Templates
Prompt templates are Markdown snippets that expand into full prompts. Type `/name` in the editor to invoke a template, where `name` is the filename without `.md`.
Prompt templates turn Markdown files into reusable `/` commands. Use one when you want to reuse the same prompt without adding executable behavior or a larger set of supporting instructions.
## Locations
A template can accept arguments and appear in command completion. Pi can load templates from personal configuration, project configuration, an explicit path, or a Pi package. Project configuration loads only after project trust is granted.
Pi loads prompt templates from:
## Create a template
- Global: `~/.pi/agent/prompts/*.md`
- Project: `.pi/prompts/*.md` (only after the project is trusted)
- Packages: `prompts/` directories or `pi.prompts` entries in `package.json`
- Settings: `prompts` array with files or directories
- CLI: `--prompt-template <path>` (repeatable)
Disable discovery with `--no-prompt-templates`.
## Format
Create `~/.pi/agent/prompts/review.md`:
```markdown
---
description: Review staged git changes
argument-hint: "[focus]"
---
Review the staged changes (`git diff --cached`). Focus on:
- Bugs and logic errors
- Security issues
- Error handling gaps
Review the staged changes. Focus on ${1:-correctness, security, and error handling}.
```
- The filename becomes the command name. `review.md` becomes `/review`.
- `description` is optional. If missing, the first non-empty line is used.
- `argument-hint` is optional. When set, the hint is displayed before the description in the autocomplete dropdown.
The filename becomes the command name, so this template is available as `/review`. The `description` appears in command completion. If it is omitted, Pi uses the first non-empty line.
### Argument Hints
`argument-hint` is optional. Use `<angle brackets>` for required arguments and `[square brackets]` for optional arguments.
Use `argument-hint` in frontmatter to show expected arguments in autocomplete. Use `<angle brackets>` for required arguments and `[square brackets]` for optional ones:
Run `/reload` after adding or changing a template in an active session.
```markdown
---
description: Review PRs from URLs with structured issue and code analysis
argument-hint: "<PR-URL>"
---
<a id="invoke-a-template"></a>
## Use a template
Type the template command in the editor:
```text
/review
/review concurrency
```
This renders in the autocomplete dropdown as:
Pi expands the template before the resulting text enters the agent. Extensions receive the raw input first through the `input` event unless an extension command with the same name handles it.
```
→ pr <PR-URL> — Review PRs from URLs with structured issue and code analysis
is <issue> — Analyze GitHub issues (bugs or feature requests)
wr [instructions] — Finish the current task end-to-end
cl — Audit changelog entries before release
```
Templates support these substitutions:
## Usage
| Syntax | Result |
|---|---|
| `$1`, `$2`, … | One positional argument |
| `$@` or `$ARGUMENTS` | All arguments joined with spaces |
| `${1:-default}` | First argument, or a default value |
| `${@:-default}` | All arguments, or a default value |
| `${@:N}` | Arguments starting at position `N` |
| `${@:N:L}` | `L` arguments starting at position `N` |
Type `/` followed by the template name in the editor. Autocomplete shows available templates with descriptions.
Arguments follow shell-like quoting, so `/review "API compatibility"` supplies one argument containing a space.
```
/review # Expands review.md
/component Button # Expands with argument
/component Button "click handler" # Multiple arguments
```
<a id="choose-where-it-loads"></a>
## Arguments
## Add it to Pi
Templates support positional arguments, defaults, and simple slicing:
Place the template in your user or project prompt directory. Conventional prompt directories load direct `.md` children only.
- `$1`, `$2`, ... positional args
- `$@` or `$ARGUMENTS` for all args joined
- `${1:-default}` uses arg 1 when present/non-empty, otherwise `default`
- `${@:-default}` or `${ARGUMENTS:-default}` uses all arguments when present/non-empty, otherwise `default`
- `${@:N}` for args from the Nth position (1-indexed)
- `${@:N:L}` for `L` args starting at N
Settings and packages can select nested Markdown files; a package manifest can narrow discovery with explicit paths and globs. See [Settings](settings.md#resources) and [Pi Packages](packages.md) for these options.
Example:
```markdown
---
description: Create a component
---
Create a React component named $1 with features: $@
```
Default values are useful for optional arguments:
```markdown
Summarize the current state in ${1:-7} bullet points.
```
Usage: `/component Button "onClick handler" "disabled support"`
## Loading Rules
- Template discovery in `prompts/` is non-recursive.
- If you want templates in subdirectories, add them explicitly via `prompts` settings or a package manifest.
Project templates become commands in the editor after trust is granted. Review their content before trusting an unfamiliar project. See [Security](security.md#understand-project-trust).
packages/coding-agent/docs/providers.md
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@@ -1,325 +1,187 @@
# Providers
# Provider Authentication
Pi supports subscription-based providers via OAuth and API key providers via environment variables or auth file. Built-in catalogs ship with pi; configured providers may refresh newer catalogs and cache them in `~/.pi/agent/models-store.json` for offline use.
Most hosted providers support one or both of these authentication methods:
## Table of Contents
- Sign in through a browser or device flow backed by OAuth.
- Provide an API key.
- [Subscriptions](#subscriptions)
- [API Keys](#api-keys)
- [Auth File](#auth-file)
- [Cloud Providers](#cloud-providers)
- [llama.cpp](#llamacpp)
- [Custom Providers](#custom-providers)
- [Resolution Order](#resolution-order)
Use `/login [provider]` to see the methods supported by a provider. Amazon Bedrock and Google Vertex AI can also use ambient cloud credentials.
## Subscriptions
## Authenticate interactively
Use `/login` in interactive mode, then select a provider:
Run `/login` and select a provider. Pi guides you through its OAuth or API-key flow and saves the resulting credential in [`auth.json`](configuration.md#agent-directory).
- ChatGPT Plus/Pro (Codex)
- Claude Pro/Max
- GitHub Copilot
- xAI (Grok/X subscription)
- Meta (Muse subscription)
- OpenRouter (OAuth-minted API key billed from OpenRouter credits)
- Radius
On a remote or headless machine, an OAuth callback may not reach the local process. When prompted, paste the final redirect URL or authorization code back into Pi.
Use `/logout` to clear credentials. Tokens are stored in `~/.pi/agent/auth.json` and auto-refresh when expired. OpenRouter instead mints a user-controlled API key that does not expire automatically.
Run `/logout` and select a provider to remove its stored credential. This does not unset environment variables, remove authentication from `models.json`, or revoke the credential at the provider.
### OpenAI Codex
`auth.json` can contain API keys and OAuth tokens. Keep it private and do not commit it.
- Requires ChatGPT Plus or Pro subscription
- Officially endorsed by OpenAI: [Codex for OSS](https://developers.openai.com/community/codex-for-oss)
Radius authentication uses its gateway catalog and caches refreshed model metadata for later offline startup. A custom Radius gateway configured in `models.json` uses its own catalog rather than inheriting the public `radius.pi.dev` catalog.
### Claude Pro/Max
## Use an API key from the environment
Anthropic subscription auth is active for Claude Pro/Max accounts. Third-party harness usage draws from [extra usage](https://claude.ai/settings/usage) and is billed per token, not against Claude plan limits.
### GitHub Copilot
- Press Enter for github.com, or enter your GitHub Enterprise Server domain
- If you get "model not supported", enable it in VS Code: Copilot Chat → model selector → select model → "Enable"
### xAI (Grok/X subscription)
- Run `/login xai`, then select **Use a subscription**
- `XAI_API_KEY` remains available through **Use an API key**
### Meta (Muse subscription)
- Run `/login meta`, then select **Sign in with Meta** to open the device authorization flow
- The login mints a Model API key that is re-minted automatically about once a day
- `META_API_KEY` remains available through **Use an API key**
### OpenRouter
- Run `/login openrouter`, then select **Sign in with OpenRouter** to open the OpenRouter PKCE authorization flow
- The authorization creates a user-controlled OpenRouter API key billed from your OpenRouter credits
- On remote/headless machines (e.g. over SSH) the browser cannot reach the loopback callback; paste the final redirect URL (or the authorization code) into the login prompt instead
- `OPENROUTER_API_KEY` remains available through **Use an API key**
### Radius
Radius is a `pi-messages` gateway. Pi ships the public Radius model catalog for immediate and offline model lookup, then overlays it with the effective gateway catalog after authentication. `/login radius` stores OAuth tokens in `auth.json`; refreshed catalogs are cached in `models-store.json`. Custom Radius gateways can be declared in `models.json` with `"oauth": "radius"` and a gateway `baseUrl`; they do not inherit the public `radius.pi.dev` catalog.
## API Keys
### Environment Variables or Auth File
Use `/login` in interactive mode and select a provider to store an API key in `auth.json`, or set credentials via environment variable:
Environment variables are useful in CI and anywhere Pi should not store the key. Set the variable before starting Pi:
```bash
export ANTHROPIC_API_KEY=sk-ant-...
pi
```
| Provider | Environment Variable | `auth.json` key |
|----------|----------------------|------------------|
| Anthropic | `ANTHROPIC_API_KEY` | `anthropic` |
| Ant Ling | `ANT_LING_API_KEY` | `ant-ling` |
| Azure OpenAI Responses | `AZURE_OPENAI_API_KEY` | `azure-openai-responses` |
| OpenAI | `OPENAI_API_KEY` | `openai` |
| DeepSeek | `DEEPSEEK_API_KEY` | `deepseek` |
| NVIDIA NIM | `NVIDIA_API_KEY` | `nvidia` |
| Google Gemini | `GEMINI_API_KEY` | `google` |
| Amazon Bedrock | `AWS_BEARER_TOKEN_BEDROCK` | `amazon-bedrock` |
| Mistral | `MISTRAL_API_KEY` | `mistral` |
| Groq | `GROQ_API_KEY` | `groq` |
| Cerebras | `CEREBRAS_API_KEY` | `cerebras` |
| Cloudflare AI Gateway | `CLOUDFLARE_API_KEY` (+ `CLOUDFLARE_ACCOUNT_ID`, `CLOUDFLARE_GATEWAY_ID`) | `cloudflare-ai-gateway` |
| Cloudflare Workers AI | `CLOUDFLARE_API_KEY` (+ `CLOUDFLARE_ACCOUNT_ID`) | `cloudflare-workers-ai` |
| xAI | `XAI_API_KEY` | `xai` |
| OpenRouter | `OPENROUTER_API_KEY` | `openrouter` |
| Vercel AI Gateway | `AI_GATEWAY_API_KEY` | `vercel-ai-gateway` |
| ZAI Coding Plan (Global) | `ZAI_API_KEY` | `zai` |
| ZAI Coding Plan (China) | `ZAI_CODING_CN_API_KEY` | `zai-coding-cn` |
| OpenCode Zen | `OPENCODE_API_KEY` | `opencode` |
| OpenCode Go | `OPENCODE_API_KEY` | `opencode-go` |
| Radius | `RADIUS_API_KEY` | `radius` |
| Hugging Face | `HF_TOKEN` | `huggingface` |
| Fireworks | `FIREWORKS_API_KEY` | `fireworks` |
| Together AI | `TOGETHER_API_KEY` | `together` |
| Baseten | `BASETEN_API_KEY` | `baseten` |
| Kimi For Coding | `KIMI_API_KEY` | `kimi-coding` |
| Meta | `META_API_KEY` | `meta` |
| MiniMax | `MINIMAX_API_KEY` | `minimax` |
| MiniMax (China) | `MINIMAX_CN_API_KEY` | `minimax-cn` |
| Qwen Token Plan (existing catalog) | `QWEN_TOKEN_PLAN_API_KEY` | `qwen-token-plan` |
| Qwen Token Plan (Individual) | `QWEN_TOKEN_PLAN_API_KEY` | `qwen-token-plan-individual` |
| Qwen Token Plan (China) | `QWEN_TOKEN_PLAN_CN_API_KEY` | `qwen-token-plan-cn` |
| Xiaomi MiMo | `XIAOMI_API_KEY` | `xiaomi` |
| Xiaomi MiMo Token Plan (China) | `XIAOMI_TOKEN_PLAN_CN_API_KEY` | `xiaomi-token-plan-cn` |
| Xiaomi MiMo Token Plan (Amsterdam) | `XIAOMI_TOKEN_PLAN_AMS_API_KEY` | `xiaomi-token-plan-ams` |
| Xiaomi MiMo Token Plan (Singapore) | `XIAOMI_TOKEN_PLAN_SGP_API_KEY` | `xiaomi-token-plan-sgp` |
This table covers providers with a single primary API-key variable. Providers that need additional configuration or support ambient credentials are covered under [Cloud providers](#cloud-providers).
Reference for environment variables and `auth.json` keys: [`const envMap`](https://github.com/earendil-works/pi/blob/main/packages/ai/src/env-api-keys.ts) in [`packages/ai/src/env-api-keys.ts`](https://github.com/earendil-works/pi/blob/main/packages/ai/src/env-api-keys.ts).
| Provider | Environment variable |
|---|---|
| Anthropic | `ANTHROPIC_API_KEY` |
| Ant Ling | `ANT_LING_API_KEY` |
| OpenAI | `OPENAI_API_KEY` |
| DeepSeek | `DEEPSEEK_API_KEY` |
| NVIDIA NIM | `NVIDIA_API_KEY` |
| Google Gemini | `GEMINI_API_KEY` |
| GitHub Copilot | `COPILOT_GITHUB_TOKEN` |
| Mistral | `MISTRAL_API_KEY` |
| Groq | `GROQ_API_KEY` |
| Cerebras | `CEREBRAS_API_KEY` |
| xAI | `XAI_API_KEY` |
| OpenRouter | `OPENROUTER_API_KEY` |
| Vercel AI Gateway | `AI_GATEWAY_API_KEY` |
| ZAI Coding Plan (Global) | `ZAI_API_KEY` |
| ZAI Coding Plan (China) | `ZAI_CODING_CN_API_KEY` |
| OpenCode Zen and Go | `OPENCODE_API_KEY` |
| Radius | `RADIUS_API_KEY` |
| Hugging Face | `HF_TOKEN` |
| Fireworks | `FIREWORKS_API_KEY` |
| Together AI | `TOGETHER_API_KEY` |
| Baseten | `BASETEN_API_KEY` |
| Kimi For Coding | `KIMI_API_KEY` |
| Meta | `META_API_KEY` |
| MiniMax | `MINIMAX_API_KEY` |
| MiniMax (China) | `MINIMAX_CN_API_KEY` |
| Moonshot AI (Global and China) | `MOONSHOT_API_KEY` |
| Qwen Token Plan and Individual | `QWEN_TOKEN_PLAN_API_KEY` |
| Qwen Token Plan (China) | `QWEN_TOKEN_PLAN_CN_API_KEY` |
| Xiaomi MiMo | `XIAOMI_API_KEY` |
| Xiaomi MiMo Token Plan (China) | `XIAOMI_TOKEN_PLAN_CN_API_KEY` |
| Xiaomi MiMo Token Plan (Amsterdam) | `XIAOMI_TOKEN_PLAN_AMS_API_KEY` |
| Xiaomi MiMo Token Plan (Singapore) | `XIAOMI_TOKEN_PLAN_SGP_API_KEY` |
#### Auth File
Anthropic also recognizes `ANTHROPIC_OAUTH_TOKEN` as an API credential and `ANTHROPIC_AUTH_TOKEN` as bearer authentication.
Store credentials in `~/.pi/agent/auth.json`:
## Load an API key from a command
To use a secret manager without writing the resolved key to disk, set a provider's `key` in `auth.json` to a command prefixed with `!`:
```json
{
"anthropic": { "type": "api_key", "key": "sk-ant-..." },
"ant-ling": { "type": "api_key", "key": "..." },
"openai": { "type": "api_key", "key": "sk-..." },
"deepseek": { "type": "api_key", "key": "sk-..." },
"nvidia": { "type": "api_key", "key": "nvapi-..." },
"google": { "type": "api_key", "key": "..." },
"opencode": { "type": "api_key", "key": "..." },
"opencode-go": { "type": "api_key", "key": "..." },
"together": { "type": "api_key", "key": "..." },
"qwen-token-plan": { "type": "api_key", "key": "sk-sp-..." },
"qwen-token-plan-individual": { "type": "api_key", "key": "sk-sp-..." },
"qwen-token-plan-cn": { "type": "api_key", "key": "sk-sp-..." },
"xiaomi": { "type": "api_key", "key": "..." },
"xiaomi-token-plan-cn": { "type": "api_key", "key": "..." },
"xiaomi-token-plan-ams": { "type": "api_key", "key": "..." },
"xiaomi-token-plan-sgp": { "type": "api_key", "key": "..." }
"anthropic": {
"type": "api_key",
"key": "!security find-generic-password -ws 'anthropic'"
}
}
```
`qwen-token-plan-individual` uses the same international endpoint and `QWEN_TOKEN_PLAN_API_KEY` as
`qwen-token-plan`, but limits the picker to the models documented for Individual subscriptions. The existing
provider keeps its broader catalog for backward compatibility. When using `auth.json`, store the
credential under the provider you select; an environment variable is shared by both international providers.
Pi runs the command when the key is first needed and caches its standard output for the process lifetime. Empty output, a timeout, or a nonzero exit leaves the key unresolved until Pi restarts.
The file is created with `0600` permissions (user read/write only). Auth file credentials take priority over environment variables.
## Cloud Providers
API key credentials can also include provider-scoped environment values. These values are used before process environment variables when resolving the credential key, provider/model headers, and provider configuration such as Cloudflare account IDs, Azure OpenAI settings, Vertex project/location, Bedrock settings, `PI_CACHE_RETENTION`, and `HTTP_PROXY`/`HTTPS_PROXY`.
The providers below need additional settings or can use credentials supplied by their cloud platform.
A stored API-key credential can include an `env` object. Its values take priority over the process environment for that provider:
```json
{
"cloudflare-ai-gateway": {
"cloudflare-workers-ai": {
"type": "api_key",
"key": "$CLOUDFLARE_API_KEY",
"key": "...",
"env": {
"CLOUDFLARE_API_KEY": "...",
"CLOUDFLARE_ACCOUNT_ID": "account-id",
"CLOUDFLARE_GATEWAY_ID": "gateway-id"
"CLOUDFLARE_ACCOUNT_ID": "account-id"
}
}
}
```
Use this when pi should use different provider settings than the project shell environment.
### Key Resolution
The `key` field supports command execution, environment interpolation, and literals:
- **Shell command:** `"!command"` at the start executes the whole value as a command and uses stdout (cached for process lifetime)
```json
{ "type": "api_key", "key": "!security find-generic-password -ws 'anthropic'" }
{ "type": "api_key", "key": "!op read 'op://vault/item/credential'" }
```
- **Environment interpolation:** `"$ENV_VAR"` or `"${ENV_VAR}"` uses the value of the named variable. Interpolation works inside larger literals.
```json
{ "type": "api_key", "key": "$MY_ANTHROPIC_KEY" }
{ "type": "api_key", "key": "${KEY_PREFIX}_${KEY_SUFFIX}" }
```
`$FOO_BAR` is the variable `FOO_BAR`; use `${FOO}_BAR` when `BAR` is literal text. Missing environment variables make the value unresolved.
- **Escapes:** `"$$"` emits a literal `"$"`; `"$!"` emits a literal `"!"` without triggering command execution.
```json
{ "type": "api_key", "key": "$$literal-dollar-prefix" }
{ "type": "api_key", "key": "$!literal-bang-prefix" }
```
- **Literal value:** Used directly. Plain uppercase strings such as `MY_API_KEY` are literals; use `$MY_API_KEY` for environment variables.
```json
{ "type": "api_key", "key": "sk-ant-..." }
{ "type": "api_key", "key": "public" }
```
OAuth credentials are also stored here after `/login` and managed automatically.
## Cloud Providers
### Azure OpenAI
Set an API key plus either a base URL or resource name:
```bash
export AZURE_OPENAI_API_KEY=...
export AZURE_OPENAI_BASE_URL=https://your-resource.ai.azure.com
# also supported: https://your-resource.cognitiveservices.azure.com
# also supported: https://your-resource.openai.azure.com
# root endpoints are auto-normalized to /openai/v1
# or use resource name instead of base URL
# Or:
export AZURE_OPENAI_RESOURCE_NAME=your-resource
# Optional
export AZURE_OPENAI_API_VERSION=2024-02-01
export AZURE_OPENAI_DEPLOYMENT_NAME_MAP=gpt-4=my-gpt4,gpt-4o=my-gpt4o
```
Resource root URLs under `ai.azure.com`, `cognitiveservices.azure.com`, and `openai.azure.com` are normalized to the OpenAI API path.
### Amazon Bedrock
Use `/login amazon-bedrock` to store a Bedrock API key, or configure one of the ambient AWS credential sources below:
Bedrock can use a bearer token or an ambient AWS credential source:
```bash
# Option 1: AWS Profile
# Named profile
export AWS_PROFILE=your-profile
# Option 2: IAM Keys
# IAM keys
export AWS_ACCESS_KEY_ID=AKIA...
export AWS_SECRET_ACCESS_KEY=...
# Required for temporary credentials
export AWS_SESSION_TOKEN=...
# Option 3: Bearer Token
# Bedrock bearer token
export AWS_BEARER_TOKEN_BEDROCK=...
# Optional region (defaults to us-east-1)
# Region, when not supplied by the profile or AWS SDK configuration
export AWS_REGION=us-west-2
# AWS_DEFAULT_REGION is also supported
```
Also supports ECS task roles (`AWS_CONTAINER_CREDENTIALS_*`) and IRSA (`AWS_WEB_IDENTITY_TOKEN_FILE`).
```bash
pi --provider amazon-bedrock --model us.anthropic.claude-sonnet-4-20250514-v1:0
```
Prompt caching is enabled automatically for Claude models whose ID contains a recognizable model name (base models and system-defined inference profiles). For application inference profiles (whose ARNs don't contain the model name), set `AWS_BEDROCK_FORCE_CACHE=1` to enable cache points:
```bash
export AWS_BEDROCK_FORCE_CACHE=1
pi --provider amazon-bedrock --model arn:aws:bedrock:us-east-1:123456789012:application-inference-profile/abc123
```
If you are connecting to a Bedrock API proxy, the following environment variables can be used:
```bash
# Set the URL for the Bedrock proxy (standard AWS SDK env var)
export AWS_ENDPOINT_URL_BEDROCK_RUNTIME=https://my.corp.proxy/bedrock
# Set if your proxy does not require authentication
export AWS_BEDROCK_SKIP_AUTH=1
# Set if your proxy only supports HTTP/1.1
export AWS_BEDROCK_FORCE_HTTP1=1
```
Pi also supports ECS task credentials and IRSA through the standard `AWS_CONTAINER_CREDENTIALS_*` and `AWS_WEB_IDENTITY_TOKEN_FILE` variables.
### Cloudflare AI Gateway
`CLOUDFLARE_API_KEY` can be set via `/login`. The account ID and gateway slug can be set as environment variables or in the API key credential's `env` object in `auth.json`.
The gateway requires a token, account ID, and gateway ID:
```bash
export CLOUDFLARE_API_KEY=... # or use /login
export CLOUDFLARE_API_KEY=...
export CLOUDFLARE_ACCOUNT_ID=...
export CLOUDFLARE_GATEWAY_ID=... # create at dash.cloudflare.com → AI → AI Gateway
pi --provider cloudflare-ai-gateway --model "claude-sonnet-4-5"
export CLOUDFLARE_GATEWAY_ID=...
```
Routes to OpenAI, Anthropic, and Workers AI through Cloudflare AI Gateway. Workers AI uses the Unified API (`/compat`) and prefixed model IDs (`workers-ai/@cf/...`). OpenAI uses the OpenAI passthrough route (`/openai`) with native OpenAI model IDs such as `gpt-5.1`. Anthropic uses the Anthropic passthrough route (`/anthropic`) with native Anthropic model IDs such as `claude-sonnet-4-5`.
The account and gateway IDs can come from the process environment or the credential's `env` object in `auth.json`.
AI Gateway authentication uses `CLOUDFLARE_API_KEY` as `cf-aig-authorization`. Upstream authentication can be one of:
| Mode | Request auth | Upstream auth |
|------|--------------|---------------|
| Workers AI | Cloudflare token only | Cloudflare-native |
| Unified billing | Cloudflare token only | Cloudflare handles upstream auth and deducts credits |
| Stored BYOK | Cloudflare token only | Cloudflare injects provider keys stored in the AI Gateway dashboard |
| Inline BYOK | Cloudflare token plus upstream `Authorization` header | The request supplies the upstream provider key |
For normal pi usage, prefer unified billing or stored BYOK. Inline BYOK requires configuring an additional upstream `Authorization` header for the Cloudflare AI Gateway provider, for example via a `models.json` provider/model override.
`CLOUDFLARE_API_KEY` authenticates Pi to the gateway. Upstream access can use Cloudflare unified billing, credentials stored in the gateway, or an `Authorization` header configured for the provider in `models.json`.
### Cloudflare Workers AI
`CLOUDFLARE_API_KEY` can be set via `/login`. `CLOUDFLARE_ACCOUNT_ID` can be set as an environment variable or in the API key credential's `env` object in `auth.json`.
Workers AI requires a token and account ID:
```bash
export CLOUDFLARE_API_KEY=... # or use /login
export CLOUDFLARE_API_KEY=...
export CLOUDFLARE_ACCOUNT_ID=...
pi --provider cloudflare-workers-ai --model "@cf/moonshotai/kimi-k2.6"
```
Pi automatically sets `x-session-affinity` for [prefix caching](https://developers.cloudflare.com/workers-ai/features/prompt-caching/) discounts.
The account ID can also be stored in the credential's `env` object.
### Google Vertex AI
Uses Application Default Credentials:
Use a Google Cloud API key:
```bash
export GOOGLE_CLOUD_API_KEY=...
```
To use Application Default Credentials, configure a project and location:
```bash
gcloud auth application-default login
export GOOGLE_CLOUD_PROJECT=your-project
# GCLOUD_PROJECT is also supported
export GOOGLE_CLOUD_LOCATION=us-central1
```
Or set `GOOGLE_APPLICATION_CREDENTIALS` to a service account key file.
Then authenticate:
## llama.cpp
```bash
gcloud auth application-default login
```
Pi supports the llama.cpp router server. Configure it with `/login llama.cpp`, manage loaded models with `/llama`, and select a loaded model with `/model`.
See [llama.cpp](llama-cpp.md) for server setup, model directory layout, environment variables, and command usage.
## Custom Providers
**Via models.json:** Add Ollama, LM Studio, vLLM, or any provider that speaks a supported API (OpenAI Completions, OpenAI Responses, Anthropic Messages, Google Generative AI). See [models.md](models.md).
**Via extensions:** For providers that need custom API implementations or OAuth flows, create an extension. See [custom-provider.md](custom-provider.md) and [examples/extensions/custom-provider-gitlab-duo](../examples/extensions/custom-provider-gitlab-duo/).
## Resolution Order
When resolving credentials for a provider:
1. CLI `--api-key` flag
2. `auth.json` entry (API key or OAuth token)
3. Environment variable
4. Custom provider keys from `models.json`
To use a service-account key file instead, set `GOOGLE_APPLICATION_CREDENTIALS` along with the project and location.
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@@ -1,167 +1,122 @@
# Quickstart
This page gets you from install to a useful first pi session.
Pi runs in your terminal and works with files on your machine. To use it, you need access to a model through a supported provider. This can be a subscription, an API key, or a local model.
## Install
For native Windows setup, read [Windows Setup](windows.md). For Android, read [Termux Setup](termux.md).
Pi is distributed as an npm package:
## 1. Install Pi
On macOS or Linux, you can use the installer:
```bash
curl -fsSL https://pi.dev/install.sh | sh
```
Alternatively, install Pi from npm. This requires Node.js 22.19 or newer:
```bash
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
```
`--ignore-scripts` disables dependency lifecycle scripts during install. Pi does not require install scripts for normal npm installs.
Pi does not require dependency lifecycle scripts for a normal npm installation.
### Uninstall
Use the package manager that installed pi. The curl installer uses npm globally, so curl and npm installs are removed with npm:
Verify the installation:
```bash
# curl installer or npm install -g
npm uninstall -g @earendil-works/pi-coding-agent
# pnpm
pnpm remove -g @earendil-works/pi-coding-agent
# Yarn
yarn global remove @earendil-works/pi-coding-agent
# Bun
bun uninstall -g @earendil-works/pi-coding-agent
pi --version
```
Uninstalling pi leaves settings, credentials, sessions, and installed pi packages in `~/.pi/agent/`.
## 2. Start Pi
Then start pi in the project directory you want it to work on:
Change to the folder you want Pi to work with, then start it:
```bash
cd /path/to/project
cd /path/to/folder
pi
```
## Authenticate
The working folder helps Pi discover relevant files, instructions, and configuration. Pi also uses it to group saved sessions.
Pi can use subscription providers through `/login`, or API-key providers through environment variables or the auth file.
<p align="center"><img src="images/interactive-mode.png" alt="Pi running in a terminal with a conversation, input editor, and status footer" width="750"></p>
### Option 1: subscription login
The interface shows your conversation, an editor for prompts and commands, and a footer with the current folder, model, and session status. See [Use Pi in the terminal](usage.md) to learn how to add files, run commands, direct ongoing work, and manage results.
Start pi and run:
## 3. Choose a model
A **model** generates Pi's responses. A **provider** is the service or account Pi uses to access that model.
In Pi, run:
```text
/login
```
Then select a provider. Built-in subscription logins include Claude Pro/Max, ChatGPT Plus/Pro (Codex), and GitHub Copilot.
Choose a provider, then follow the prompts to use a subscription or store an API key. Run `/model` afterward if you want to select a different available model.
### Option 2: API key
See [Choose a model and provider](models.md) for supported providers, environment-variable authentication, local models, and custom endpoints.
Set an API key before launching pi:
## 4. Give Pi a task
```bash
export ANTHROPIC_API_KEY=sk-ant-...
pi
```
Pi shows each file read, search, command, and edit it performs. It does not ask before every tool call.
You can also run `/login` and select an API-key provider to store the key in `~/.pi/agent/auth.json`.
See [Providers](providers.md) for all supported providers, environment variables, and cloud-provider setup.
## First session
Once pi starts, type a request and press Enter:
Enter a task that matches your work, for example:
```text
Summarize this repository and tell me how to run its checks.
Summarize @meeting-notes.md and save the action items to action-items.md.
```
By default, pi gives the model four tools:
- `read` - read files
- `write` - create or overwrite files
- `edit` - patch files
- `bash` - run shell commands
Additional built-in read-only tools (`grep`, `find`, `ls`) are available through tool options. Pi runs in your current working directory and can modify files there. Use git or another checkpointing workflow if you want easy rollback.
## Give pi project instructions
Pi loads context files at startup. Add an `AGENTS.md` file to tell it how to work in a project:
```markdown
# Project Instructions
- Run `npm run check` after code changes.
- Do not run production migrations locally.
- Keep responses concise.
```
Pi loads:
- `~/.pi/agent/AGENTS.md` for global instructions
- `AGENTS.md` or `CLAUDE.md` from parent directories and the current directory
If a directory contains `AGENTS.override.md`, Pi loads it instead of `AGENTS.md` or `CLAUDE.md` from that directory.
Restart pi, or run `/reload`, after changing context files.
## Common things to try
### Reference files
Type `@` in the editor to fuzzy-search files, or pass files on the command line:
```bash
pi @README.md "Summarize this"
pi @src/app.ts @src/app.test.ts "Review these together"
```
Images or text can be pasted with Ctrl+V (Alt+V on Windows); images can also be dragged into supported terminals.
### Run shell commands
In interactive mode:
```text
!npm run lint
Explain how this repository is structured and how to run its checks.
```
The command output is sent to the model. Use `!!command` to run a command without adding its output to the model context.
```text
Compare @previous.csv with @current.csv and summarize the important changes.
```
### Switch models
Type `@` in the editor to search for a file instead of entering its full path. When Pi finishes, review its response and any changed files. Use version control or backups for important work. For untrusted or unattended work, use a container or another sandbox. See [Security](security.md).
Use `/model` or Ctrl+L to choose a model for the current session. Press Ctrl+S in the model picker to save the highlighted model as the startup default. Use `/thinking` to choose a thinking level for the current session, or Ctrl+S in that picker to save the startup default thinking level. Use Shift+Tab to cycle thinking level. Use Ctrl+P / Shift+Ctrl+P to cycle through scoped models.
## Continue later
### Continue later
Sessions are saved automatically:
Pi saves sessions automatically. Exit Pi, then resume the most recent session for the same working folder with:
```bash
pi -c # Continue most recent session
pi -r # Browse previous sessions
pi --name "my task" # Set session display name at startup
pi --session <path|id> # Open a specific session
pi --continue
```
Inside pi, use `/resume`, `/new`, `/tree`, `/fork`, and `/clone` to manage sessions.
### Non-interactive mode
For one-shot prompts:
```bash
pi -p "Summarize this codebase"
cat README.md | pi -p "Summarize this text"
pi -p @screenshot.png "What's in this image?"
```
Use `--mode json` for JSON event output or `--mode rpc` for process integration.
Use `/resume` to choose another saved session. See [Continue or branch a session](sessions.md) for session naming, branching, compaction, export, and sharing.
## Next steps
- [Using Pi](usage.md) - interactive mode, slash commands, sessions, context files, and CLI reference.
- [Providers](providers.md) - authentication and model setup.
- [Settings](settings.md) - global and project configuration.
- [Keybindings](keybindings.md) - shortcuts and customization.
- [Pi Packages](packages.md) - install shared extensions, skills, prompts, and themes.
- [Use Pi interactively](usage.md) to learn input, commands, shortcuts, and queued messages.
- [Add instructions](configuration.md#context-files) that Pi should follow whenever it works in a folder.
- [Choose a model and provider](models.md).
Platform notes: [Windows](windows.md), [Termux](termux.md), [tmux](tmux.md), [Terminal setup](terminal-setup.md), [Shell aliases](shell-aliases.md).
### Choose how to customize Pi
Start with the least powerful mechanism that meets your need:
| Need | Start with |
|---|---|
| Give Pi persistent instructions for a folder | [`AGENTS.md`](configuration.md#context-files) |
| Reuse a prompt from the `/` menu | [Prompt template](prompt-templates.md) |
| Add task-specific instructions and supporting files | [Skill](skills.md) |
| Add executable tools, commands, or event handlers | [Extension](extensions.md) |
| Build a custom terminal component | [Terminal UI](tui.md) |
| Connect an unsupported model service | [Custom provider](custom-provider.md) |
| Install or distribute several resources | [Pi package](packages.md) |
## Uninstall Pi
If you installed Pi with npm, run:
```bash
npm uninstall -g @earendil-works/pi-coding-agent
```
If you used the installer, run it again and choose **Uninstall Pi**:
```bash
curl -fsSL https://pi.dev/install.sh | sh
```
Neither method removes configuration, credentials, sessions, or installed Pi packages from `~/.pi/agent/`.
packages/coding-agent/docs/rpc-commands.md
+854
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@@ -0,0 +1,854 @@
# RPC Commands
This reference lists commands accepted on stdin in [RPC mode](rpc.md). Each command and response is one JSON object. Shared message values use the [message types](message-types.md).
## Prompting
### prompt
Send a user prompt to the agent. The command response is emitted after the prompt is accepted, queued, or handled. Events continue streaming asynchronously after acceptance.
```json
{"id": "req-1", "type": "prompt", "message": "Hello, world!"}
```
With images:
```json
{"type": "prompt", "message": "What's in this image?", "images": [{"type": "image", "data": "base64-encoded-data", "mimeType": "image/png"}]}
```
**During streaming**: If the agent is already streaming, you must specify `streamingBehavior` to queue the message:
```json
{"type": "prompt", "message": "New instruction", "streamingBehavior": "steer"}
```
- `"steer"`: Queue the message while the agent is running. It is delivered after the current assistant turn finishes executing its tool calls, before the next LLM call.
- `"followUp"`: Wait until the agent finishes. Message is delivered only when agent stops.
If the agent is streaming and no `streamingBehavior` is specified, the command returns an error.
**Extension commands**: If the message is an extension command (e.g., `/mycommand`), it executes immediately even during streaming. Extension commands manage their own LLM interaction via `pi.sendMessage()`.
**Input expansion**: Skill commands (`/skill:name`) and prompt templates (`/template`) are expanded before sending/queueing.
Response:
```json
{"id": "req-1", "type": "response", "command": "prompt", "success": true}
```
`success: true` means the prompt was accepted, queued, or handled immediately. `success: false` means the prompt was rejected before acceptance. Failures after acceptance are reported through the normal event and message stream, not as a second `response` for the same request id.
The `images` field is optional. Each image uses `ImageContent` format: `{"type": "image", "data": "base64-encoded-data", "mimeType": "image/png"}`.
### steer
Queue a steering message while the agent is running. It is delivered after the current assistant turn finishes executing its tool calls, before the next LLM call. Skill commands and prompt templates are expanded. Extension commands are not allowed (use `prompt` instead).
```json
{"type": "steer", "message": "Stop and do this instead"}
```
With images:
```json
{"type": "steer", "message": "Look at this instead", "images": [{"type": "image", "data": "base64-encoded-data", "mimeType": "image/png"}]}
```
The `images` field is optional. Each image uses `ImageContent` format (same as `prompt`).
Response:
```json
{"type": "response", "command": "steer", "success": true}
```
See [set_steering_mode](#set_steering_mode) for controlling how steering messages are processed.
### follow_up
Queue a follow-up message to be processed after the agent finishes. Delivered only when agent has no more tool calls or steering messages. Skill commands and prompt templates are expanded. Extension commands are not allowed (use `prompt` instead).
```json
{"type": "follow_up", "message": "After you're done, also do this"}
```
With images:
```json
{"type": "follow_up", "message": "Also check this image", "images": [{"type": "image", "data": "base64-encoded-data", "mimeType": "image/png"}]}
```
The `images` field is optional. Each image uses `ImageContent` format (same as `prompt`).
Response:
```json
{"type": "response", "command": "follow_up", "success": true}
```
See [set_follow_up_mode](#set_follow_up_mode) for controlling how follow-up messages are processed.
### abort
Abort the current operation and wait for the session to become idle before responding.
```json
{"type": "abort"}
```
Response:
```json
{"type": "response", "command": "abort", "success": true}
```
### clear_queue
Remove queued steering and follow-up messages and return their text.
```json
{"type": "clear_queue"}
```
Response:
```json
{
"type": "response",
"command": "clear_queue",
"success": true,
"data": {
"steering": ["Change direction"],
"followUp": ["Summarize when finished"]
}
}
```
To implement interactive Esc behavior, send `clear_queue` before `abort`, then restore the returned text in the client editor. `abort` continues queued messages when they remain in the session.
### new_session
Start a fresh session. Can be canceled by a `session_before_switch` extension event handler.
```json
{"type": "new_session"}
```
With optional parent session tracking:
```json
{"type": "new_session", "parentSession": "/path/to/parent-session.jsonl"}
```
Response:
```json
{"type": "response", "command": "new_session", "success": true, "data": {"cancelled": false}}
```
If an extension canceled:
```json
{"type": "response", "command": "new_session", "success": true, "data": {"cancelled": true}}
```
## State
### get_state
Get current session state.
```json
{"type": "get_state"}
```
Response:
```json
{
"type": "response",
"command": "get_state",
"success": true,
"data": {
"model": {...},
"thinkingLevel": "medium",
"isStreaming": false,
"isCompacting": false,
"steeringMode": "all",
"followUpMode": "one-at-a-time",
"sessionFile": "/path/to/session.jsonl",
"sessionId": "abc123",
"sessionName": "my-feature-work",
"autoCompactionEnabled": true,
"messageCount": 5,
"pendingMessageCount": 0
}
}
```
The `model` field is a full [Model](#model-object) object, or omitted when no model is selected. The `sessionName` field is the display name set via `set_session_name`, or omitted if not set.
### get_messages
Get all messages in the conversation.
```json
{"type": "get_messages"}
```
Response:
```json
{
"type": "response",
"command": "get_messages",
"success": true,
"data": {"messages": [...]}
}
```
Messages are `AgentMessage` objects (see [Message Types](message-types.md)).
## Model
### set_model
Switch to a specific model.
```json
{"type": "set_model", "provider": "anthropic", "modelId": "claude-sonnet-4-20250514"}
```
Response contains the full [Model](#model-object) object:
```json
{
"type": "response",
"command": "set_model",
"success": true,
"data": {...}
}
```
### cycle_model
Cycle to the next available model. Returns `null` data if only one model available.
```json
{"type": "cycle_model"}
```
Response:
```json
{
"type": "response",
"command": "cycle_model",
"success": true,
"data": {
"model": {...},
"thinkingLevel": "medium",
"isScoped": false
}
}
```
The `model` field is a full [Model](#model-object) object.
### get_available_models
List all configured models.
```json
{"type": "get_available_models"}
```
Response contains an array of full [Model](#model-object) objects:
```json
{
"type": "response",
"command": "get_available_models",
"success": true,
"data": {
"models": [...]
}
}
```
## Thinking
### set_thinking_level
Set the reasoning/thinking level for models that support it.
```json
{"type": "set_thinking_level", "level": "high"}
```
Levels: `"off"`, `"minimal"`, `"low"`, `"medium"`, `"high"`, `"xhigh"`, `"max"`
`"xhigh"` and `"max"` are exposed only when supported by the selected model. Some models, including GPT-5.6, expose both.
Response:
```json
{"type": "response", "command": "set_thinking_level", "success": true}
```
### cycle_thinking_level
Cycle through available thinking levels. Returns `null` data if model doesn't support thinking.
```json
{"type": "cycle_thinking_level"}
```
Response:
```json
{
"type": "response",
"command": "cycle_thinking_level",
"success": true,
"data": {"level": "high"}
}
```
### get_available_thinking_levels
List the thinking levels supported by the current model. Returns `["off"]` for a model without reasoning support.
```json
{"type": "get_available_thinking_levels"}
```
Response:
```json
{
"type": "response",
"command": "get_available_thinking_levels",
"success": true,
"data": {
"levels": ["off", "minimal", "low", "medium", "high"]
}
}
```
## Queue modes
### set_steering_mode
Control how steering messages (from `steer`) are delivered.
```json
{"type": "set_steering_mode", "mode": "one-at-a-time"}
```
Modes:
- `"all"`: Deliver all steering messages after the current assistant turn finishes executing its tool calls
- `"one-at-a-time"`: Deliver one steering message per completed assistant turn (default)
Response:
```json
{"type": "response", "command": "set_steering_mode", "success": true}
```
### set_follow_up_mode
Control how follow-up messages (from `follow_up`) are delivered.
```json
{"type": "set_follow_up_mode", "mode": "one-at-a-time"}
```
Modes:
- `"all"`: Deliver all follow-up messages when agent finishes
- `"one-at-a-time"`: Deliver one follow-up message per agent completion (default)
Response:
```json
{"type": "response", "command": "set_follow_up_mode", "success": true}
```
## Compaction
### compact
Manually compact conversation context to reduce token usage.
```json
{"type": "compact"}
```
With custom instructions:
```json
{"type": "compact", "customInstructions": "Focus on code changes"}
```
Response:
```json
{
"type": "response",
"command": "compact",
"success": true,
"data": {
"summary": "Summary of conversation...",
"firstKeptEntryId": "abc123",
"tokensBefore": 150000,
"estimatedTokensAfter": 32000,
"usage": {
"input": 32000,
"output": 1200,
"cacheRead": 0,
"cacheWrite": 0,
"totalTokens": 33200,
"cost": {"input": 0.01, "output": 0.02, "cacheRead": 0, "cacheWrite": 0, "total": 0.03}
},
"details": {}
}
}
```
`estimatedTokensAfter` is a heuristic estimate over the rebuilt message context immediately after compaction, not a provider-exact token count. `usage` reports the LLM call or calls that generated the summary and may be omitted by custom compaction handlers.
### set_auto_compaction
Enable or disable automatic compaction when context is nearly full.
```json
{"type": "set_auto_compaction", "enabled": true}
```
Response:
```json
{"type": "response", "command": "set_auto_compaction", "success": true}
```
## Retry
### set_auto_retry
Enable or disable automatic retry on transient errors (overloaded, rate limit, 5xx).
```json
{"type": "set_auto_retry", "enabled": true}
```
Response:
```json
{"type": "response", "command": "set_auto_retry", "success": true}
```
### abort_retry
Abort an in-progress retry (cancel the delay and stop retrying).
```json
{"type": "abort_retry"}
```
Response:
```json
{"type": "response", "command": "abort_retry", "success": true}
```
## Bash
### bash
Execute a shell command and add output to conversation context. Output streams as `bash_execution_update` events while the command runs; the response contains the final result.
```json
{"id": "req-1", "type": "bash", "command": "ls -la"}
```
Set `excludeFromContext` to `true` when the command output should be stored in the session but omitted from the model context on the next prompt.
Include an `id` to associate streamed `bash_execution_update` events with this command.
Response:
```json
{
"id": "req-1",
"type": "response",
"command": "bash",
"success": true,
"data": {
"output": "total 48\ndrwxr-xr-x ...",
"exitCode": 0,
"cancelled": false,
"truncated": false
}
}
```
If output was truncated, includes `fullOutputPath`:
```json
{
"type": "response",
"command": "bash",
"success": true,
"data": {
"output": "truncated output...",
"exitCode": 0,
"cancelled": false,
"truncated": true,
"fullOutputPath": "/tmp/pi-bash-abc123.log"
}
}
```
**How bash results reach the LLM:**
The `bash` command executes immediately and returns a `BashResult`. Internally, a `BashExecutionMessage` is created and stored in the agent's message state.
When the next `prompt` command is sent, Pi transforms context messages before sending them to the model. Unless `excludeFromContext` is true, the `BashExecutionMessage` becomes a `UserMessage` with this format:
````
Ran `ls -la`
```
total 48
drwxr-xr-x ...
```
````
This means:
1. Included bash output reaches the model on the **next prompt**, not immediately.
2. Multiple bash commands can run before a prompt; Pi includes each output that does not set `excludeFromContext`.
### abort_bash
Abort a running bash command.
```json
{"type": "abort_bash"}
```
Response:
```json
{"type": "response", "command": "abort_bash", "success": true}
```
## Session
### get_session_stats
Get token usage, cost statistics, and current context window usage.
```json
{"type": "get_session_stats"}
```
Response:
```json
{
"type": "response",
"command": "get_session_stats",
"success": true,
"data": {
"sessionFile": "/path/to/session.jsonl",
"sessionId": "abc123",
"userMessages": 5,
"assistantMessages": 5,
"toolCalls": 12,
"toolResults": 12,
"totalMessages": 22,
"tokens": {
"input": 50000,
"output": 10000,
"cacheRead": 40000,
"cacheWrite": 5000,
"total": 105000
},
"cost": 0.45,
"contextUsage": {
"tokens": 60000,
"contextWindow": 200000,
"percent": 30
}
}
}
```
`tokens` and `cost` include assistant messages, usage reported by tools, and compaction/branch-summary generation across the full session. `contextUsage` contains the actual current context-window estimate used for compaction and footer display.
`contextUsage` is omitted when no model or context window is available. `contextUsage.tokens` and `contextUsage.percent` are `null` immediately after compaction until a fresh post-compaction assistant response provides valid usage data.
### export_html
Export session to an HTML file.
```json
{"type": "export_html"}
```
With custom path:
```json
{"type": "export_html", "outputPath": "/tmp/session.html"}
```
Response:
```json
{
"type": "response",
"command": "export_html",
"success": true,
"data": {"path": "/tmp/session.html"}
}
```
### switch_session
Load a different session file. Can be canceled by a `session_before_switch` extension event handler.
```json
{"type": "switch_session", "sessionPath": "/path/to/session.jsonl"}
```
Response:
```json
{"type": "response", "command": "switch_session", "success": true, "data": {"cancelled": false}}
```
If an extension canceled the switch:
```json
{"type": "response", "command": "switch_session", "success": true, "data": {"cancelled": true}}
```
### fork
Create a new fork from a previous user message on the active branch. Can be canceled by a `session_before_fork` extension event handler. Returns the text of the message being forked from.
```json
{"type": "fork", "entryId": "abc123"}
```
Response:
```json
{
"type": "response",
"command": "fork",
"success": true,
"data": {"text": "The original prompt text...", "cancelled": false}
}
```
If an extension canceled the fork:
```json
{
"type": "response",
"command": "fork",
"success": true,
"data": {"cancelled": true}
}
```
### clone
Duplicate the current active branch into a new session at the current position. Can be canceled by a `session_before_fork` extension event handler.
```json
{"type": "clone"}
```
Response:
```json
{
"type": "response",
"command": "clone",
"success": true,
"data": {"cancelled": false}
}
```
If an extension canceled the clone:
```json
{
"type": "response",
"command": "clone",
"success": true,
"data": {"cancelled": true}
}
```
### get_fork_messages
Get user messages available for forking.
```json
{"type": "get_fork_messages"}
```
Response:
```json
{
"type": "response",
"command": "get_fork_messages",
"success": true,
"data": {
"messages": [
{"entryId": "abc123", "text": "First prompt..."},
{"entryId": "def456", "text": "Second prompt..."}
]
}
}
```
### get_entries
Get all session entries in append order (excluding the session header). The session is an append-only tree of entries with stable ids, so an entry id works as a durable cursor: pass the last entry id you have seen as `since` to get only entries strictly after it, even across client restarts. Unlike `get_messages`, this includes pre-compaction history and abandoned branches.
```json
{"type": "get_entries"}
```
With a cursor:
```json
{"type": "get_entries", "since": "abc123"}
```
Response:
```json
{
"type": "response",
"command": "get_entries",
"success": true,
"data": {
"entries": [
{"type": "message", "id": "def456", "parentId": "abc123", "timestamp": "...", "message": {"role": "user", "...": "..."}}
],
"leafId": "def456"
}
}
```
`leafId` is the id of the current leaf entry (`null` for an empty session), so a client can tell in one round trip whether the active branch moved. If `since` does not match any entry id, the response is `success: false`.
### get_tree
Get the session as a tree of entries. Each node is `{entry, children, label?, labelTimestamp?}`. The result is an array because navigation APIs can create multiple roots; orphaned entries with broken parent chains also appear as roots.
```json
{"type": "get_tree"}
```
Response:
```json
{
"type": "response",
"command": "get_tree",
"success": true,
"data": {
"tree": [
{
"entry": {"type": "message", "id": "abc123", "parentId": null, "...": "..."},
"children": [
{"entry": {"type": "message", "id": "def456", "parentId": "abc123", "...": "..."}, "children": []}
]
}
],
"leafId": "def456"
}
}
```
### get_last_assistant_text
Get the text content of the last assistant message.
```json
{"type": "get_last_assistant_text"}
```
Response:
```json
{
"type": "response",
"command": "get_last_assistant_text",
"success": true,
"data": {"text": "The assistant's response..."}
}
```
The `text` value is `null` if no assistant text exists.
### set_session_name
Set a display name for the current session. The name appears in session listings and helps identify sessions.
```json
{"type": "set_session_name", "name": "my-feature-work"}
```
Response:
```json
{
"type": "response",
"command": "set_session_name",
"success": true
}
```
The current session name is available via `get_state` in the `sessionName` field. To set the initial name when starting RPC mode, pass `--name <name>` or `-n <name>` to the `pi --mode rpc` process.
## Discoverable commands
### get_commands
Get available commands (extension commands, prompt templates, and skills). Run one through the `prompt` command by prefixing its name with `/`.
```json
{"type": "get_commands"}
```
Response:
```json
{
"type": "response",
"command": "get_commands",
"success": true,
"data": {
"commands": [
{
"name": "fix-tests",
"description": "Fix failing tests",
"source": "prompt",
"sourceInfo": {
"path": "/home/user/myproject/.pi/agent/prompts/fix-tests.md",
"source": "local",
"scope": "project",
"origin": "top-level"
}
}
]
}
}
```
Each command has:
- `name`: Command name (use `/name`)
- `description`: Human-readable description (optional for extension commands)
- `source`: What kind of command:
- `"extension"`: Registered via `pi.registerCommand()` in an extension
- `"prompt"`: Loaded from a prompt template `.md` file
- `"skill"`: Loaded from a skill directory (name is prefixed with `skill:`)
- `sourceInfo`: Metadata for the resource that registered the command:
- `path`: Absolute path to the resource
- `source`: How Pi discovered it, such as `"local"`, `"auto"`, or `"cli"`
- `scope`: `"user"`, `"project"`, or `"temporary"`
- `origin`: `"top-level"` for a directly loaded resource or `"package"` for a package resource
- `baseDir`: Package base directory, when applicable
**Note**: Built-in TUI commands (`/settings`, `/hotkeys`, etc.) are not included. They are handled only in interactive mode and would not execute if sent via `prompt`.
## Model object
Model commands return the complete configured model definition. Costs are in US dollars per million tokens.
```json
{
"id": "claude-sonnet-4-20250514",
"name": "Claude Sonnet 4",
"api": "anthropic-messages",
"provider": "anthropic",
"baseUrl": "https://api.anthropic.com",
"reasoning": true,
"input": ["text", "image"],
"contextWindow": 200000,
"maxTokens": 16384,
"cost": {
"input": 3.0,
"output": 15.0,
"cacheRead": 0.3,
"cacheWrite": 3.75
}
}
```
For model configuration, see [Configure a compatible endpoint](models.md#configure-a-compatible-endpoint). For TypeScript, use the exported `Model` type from `@earendil-works/pi-ai`.
packages/coding-agent/docs/rpc-extension-ui.md
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# RPC Extension UI
Extensions can request user interaction through `ctx.ui`. In RPC mode, supported calls become a request/response subprotocol alongside normal [RPC commands](rpc-commands.md) and [session events](json.md).
There are two categories of extension UI methods:
- **Dialog methods** (`select`, `confirm`, `input`, `editor`): emit an `extension_ui_request` on stdout and block until the client sends back an `extension_ui_response` on stdin with the matching `id`.
- **Fire-and-forget methods** (`notify`, `setStatus`, `setWidget`, `setTitle`, `set_editor_text`): emit an `extension_ui_request` on stdout but do not expect a response. The client can display the information or ignore it.
If a dialog method includes a `timeout` field, the agent-side will auto-resolve with a default value when the timeout expires. The client does not need to track timeouts.
## Limitations
Some `ExtensionUIContext` methods are not supported or degraded in RPC mode because they require direct terminal UI access:
- `custom()` returns `undefined`.
- `onTerminalInput()` returns a no-op unsubscribe function.
- `setWorkingMessage()`, `setWorkingVisible()`, `setWorkingIndicator()`, `setHiddenThinkingLabel()`, `setFooter()`, `setHeader()`, `addAutocompleteProvider()`, `setEditorComponent()`, and `setToolsExpanded()` are no-ops.
- `getEditorText()` returns `""` and `getEditorComponent()` returns `undefined`.
- `getToolsExpanded()` returns `false`.
- `pasteToEditor()` delegates to `setEditorText()` without terminal paste handling.
- `getAllThemes()` returns `[]`, and `getTheme()` returns `undefined`.
- `setTheme()` returns `{ success: false, error: "Theme switching not supported in RPC mode" }`.
Note: `ctx.mode` is `"rpc"` and `ctx.hasUI` is `true` in RPC mode because the dialog and fire-and-forget methods are functional via the extension UI sub-protocol. Use `ctx.mode === "tui"` to guard TUI-specific features like `custom()` that require a real terminal.
## Requests from Pi
All requests have `type: "extension_ui_request"`, a unique `id`, and a `method` field.
### select
Prompt the user to choose from a list. Dialog methods with a `timeout` field include the timeout in milliseconds; the agent auto-resolves with `undefined` if the client doesn't respond in time.
```json
{
"type": "extension_ui_request",
"id": "uuid-1",
"method": "select",
"title": "Allow dangerous command?",
"options": ["Allow", "Block"],
"timeout": 10000
}
```
Expected response: `extension_ui_response` with `value` (the selected option string) or `cancelled: true`.
### confirm
Prompt the user for yes/no confirmation.
```json
{
"type": "extension_ui_request",
"id": "uuid-2",
"method": "confirm",
"title": "Clear session?",
"message": "All messages will be lost.",
"timeout": 5000
}
```
Expected response: `extension_ui_response` with `confirmed: true/false` or `cancelled: true`.
### input
Prompt the user for free-form text.
```json
{
"type": "extension_ui_request",
"id": "uuid-3",
"method": "input",
"title": "Enter a value",
"placeholder": "type something..."
}
```
Expected response: `extension_ui_response` with `value` (the entered text) or `cancelled: true`.
### editor
Open a multi-line text editor with optional prefilled content.
```json
{
"type": "extension_ui_request",
"id": "uuid-4",
"method": "editor",
"title": "Edit some text",
"prefill": "Line 1\nLine 2\nLine 3"
}
```
Expected response: `extension_ui_response` with `value` (the edited text) or `cancelled: true`.
### notify
Display a notification. Fire-and-forget, no response expected.
```json
{
"type": "extension_ui_request",
"id": "uuid-5",
"method": "notify",
"message": "Command blocked by user",
"notifyType": "warning"
}
```
The `notifyType` field is `"info"`, `"warning"`, or `"error"`. Defaults to `"info"` if omitted.
### setStatus
Set or clear a status entry in the footer/status bar. Fire-and-forget.
```json
{
"type": "extension_ui_request",
"id": "uuid-6",
"method": "setStatus",
"statusKey": "my-ext",
"statusText": "Turn 3 running..."
}
```
Send `statusText: undefined` (or omit it) to clear the status entry for that key.
### setWidget
Set or clear a widget (block of text lines) displayed above or below the editor. Fire-and-forget.
```json
{
"type": "extension_ui_request",
"id": "uuid-7",
"method": "setWidget",
"widgetKey": "my-ext",
"widgetLines": ["--- My Widget ---", "Line 1", "Line 2"],
"widgetPlacement": "aboveEditor"
}
```
Send `widgetLines: undefined` (or omit it) to clear the widget. The `widgetPlacement` field is `"aboveEditor"` (default) or `"belowEditor"`. Only string arrays are supported in RPC mode; component factories are ignored.
### setTitle
Set the terminal window/tab title. Fire-and-forget.
```json
{
"type": "extension_ui_request",
"id": "uuid-8",
"method": "setTitle",
"title": "pi - my project"
}
```
### set_editor_text
Set the text in the input editor. Fire-and-forget.
```json
{
"type": "extension_ui_request",
"id": "uuid-9",
"method": "set_editor_text",
"text": "prefilled text for the user"
}
```
## Responses to Pi
Responses are sent for dialog methods only (`select`, `confirm`, `input`, `editor`). The `id` must match the request.
### Value response (select, input, editor)
```json
{"type": "extension_ui_response", "id": "uuid-1", "value": "Allow"}
```
### Confirmation response (confirm)
```json
{"type": "extension_ui_response", "id": "uuid-2", "confirmed": true}
```
### Cancellation response (any dialog)
Dismiss any dialog method. The extension receives `undefined` (for select/input/editor) or `false` (for confirm).
```json
{"type": "extension_ui_response", "id": "uuid-3", "cancelled": true}
```
## Example
See the checked [RPC extension UI client](../examples/rpc-extension-ui.ts) and its [demo extension](../examples/extensions/rpc-demo.ts).
The exported request and response unions are defined in [`rpc-types.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/modes/rpc/rpc-types.ts). See [Extensions](extensions.md#ui-and-modes) for mode-independent extension guidance.
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# Security
# Run Pi safely
Pi is a local coding agent. It runs with the permissions of the user account that starts it, and it treats files writable by that user as inside the same local trust boundary.
Treat model-generated commands and code as untrusted. Pi can read, change, and execute files with the permissions of the account that started it, and it does not ask for approval before every tool call. Extensions, package installers, language servers, and other child processes run with those same permissions unless an operating-system or virtualization boundary restricts them.
## Project Trust
Files, comments, instructions, command output, and model responses can steer the model through prompt injection. Project trust controls which project resources load at startup, but it does not make that content or the resulting actions safe.
Project trust controls whether pi loads project-local settings, resources, packages, and extensions. It is not a sandbox and it does not restrict what the model can ask tools to do after you start working in a directory.
Safety comes from limiting the files, credentials, processes, and network services Pi can access and affect if a generated action is wrong or hostile. Watching the transcript, using project trust, and reviewing changes do not create a security boundary.
Pi considers a project to have resources that require trust when it finds any of these from the current working directory:
## Choose how to run Pi
Different ways of running Pi place different limits on what generated commands can access:
| How Pi runs | What remains protected |
|---|---|
| Directly, with the permissions of its operating-system user | Anything that user cannot access. A dedicated user account can narrow those permissions, but Pi still shares the operating system and network with other users. |
| Entirely inside a container, virtual machine, or sandbox | Host files and processes that you do not expose to the environment. Credentials and network services remain accessible if you make them available inside it. This is usually the strongest practical option. |
| Outside the isolated environment, with only its built-in tools running inside | Host resources are protected from actions performed through those tools. Pi itself and other extensions remain outside the boundary, so this is a narrower form of isolation. |
The working folder controls resource discovery and the default location for tools, but it does not prevent commands from accessing other paths available to the Pi process.
Whichever option you choose, only provide the files and services required for the task. Keep credentials outside the environment where possible, or use narrowly scoped, short-lived credentials. Restrict network access when commands do not need it.
For setup instructions and the limitations of each isolation method, see [Run Pi in an isolated environment](containerization.md).
<a id="project-trust"></a>
## Understand project trust
Project trust controls whether Pi loads most settings and resources supplied by a working folder. It prevents a folder from silently loading executable extensions before you approve it.
Project trust is not a complete startup boundary. Pi reads the project `sessionDir` setting while selecting or creating a session, before it resolves project trust. Declining trust prevents the remaining project settings and protected resources from loading, but it cannot undo that initial session-directory lookup.
Project trust does not limit what tool calls can access or affect. After Pi starts, enabled tools still use the operating-system permissions of the Pi process. Instructions and other content in the folder can also influence the model.
### Resources protected by project trust
Pi requires a project-trust decision when it finds any of these resources from the current working directory:
- `.pi/settings.json`
- `.pi/extensions`, `.pi/skills`, `.pi/prompts`, or `.pi/themes`
- `.pi/SYSTEM.md` or `.pi/APPEND_SYSTEM.md`
- project `.agents/skills` in the current directory or an ancestor directory
A bare `.pi` directory does not count as a project resource that requires trust.
A bare `.pi` directory does not require project trust.
When an interactive session starts in a project with resources that require trust and no saved decision for the current directory or a parent directory, pi follows `defaultProjectTrust` from global settings. The default value is `"ask"`, which asks whether to trust the project when UI is available. Saved decisions are stored by canonical directory in `~/.pi/agent/trust.json`, and the closest saved decision on the current or parent path applies before the global default.
Granting project trust allows Pi to load:
Trusting a project allows pi to load project resources that require trust, including:
- project settings
- extensions, skills, prompt templates, themes, and system-prompt files under `.pi`
- missing packages configured through project settings
- project-local and project-package extensions
- `.pi/settings.json`
- `.pi` resources such as extensions, skills, prompt templates, themes, and system prompt files
- missing project packages configured through project settings
- project-local extensions and project package-managed extensions
Declining project trust skips those protected resources, except for the initial `sessionDir` lookup described above.
Declining trust skips protected resources. Context files such as `AGENTS.override.md`, `AGENTS.md`, and `CLAUDE.md` are loaded regardless of project trust unless context loading is disabled. Before trust is resolved, pi only loads context files, user/global extensions, and CLI `-e` extensions. User/global and CLI extensions can handle the `project_trust` event; the first extension that returns a yes/no decision owns the decision.
Context files such as `AGENTS.override.md`, `AGENTS.md`, and `CLAUDE.md` load regardless of project trust unless you disable context loading. Treat instructions in a folder as untrusted input even when you decline project trust.
Non-interactive modes (`-p`, `--mode json`, and `--mode rpc`) do not show a trust prompt. Without an applicable saved trust decision, `defaultProjectTrust: "ask"` and `"never"` ignore such resources, while `"always"` trusts them. Use `--approve`/`-a` or `--no-approve`/`-na` to override project trust for one run.
### How Pi chooses a trust decision
## No Built-in Sandbox
A command-line `--approve` or `--no-approve` override applies first. When protected resources exist and there is no command-line override:
Pi does not include a built-in sandbox. Built-in tools can read files, write files, edit files, and run shell commands with the permissions of the pi process. Extensions are TypeScript modules that run with the same permissions. Package installs, shell commands, language servers, test commands, and other developer tools behave as ordinary local processes.
1. User-level and command-line extensions can handle the `project_trust` event. The first extension that returns yes or no owns the decision.
2. If no extension decides, Pi looks for a saved decision for the current directory or one of its parents. The closest decision applies.
3. If no saved decision applies, Pi follows the global `defaultProjectTrust` setting, whose default is `"ask"`.
This is intentional. Pi is designed to operate on local source trees, invoke project toolchains, and integrate with the user's existing development environment. A partial in-process sandbox would be easy to misunderstand as a security boundary while still depending on the host shell, filesystem, package managers, credentials, and extension code. Real isolation needs to come from the operating system or a virtualization/container boundary.
Saved decisions use canonical directory paths and live in:
Project trust is only an input-loading guard. It prevents a repository from silently changing pi's settings or extensions before you approve it. It does not make untrusted code, untrusted prompts, or untrusted model output safe. Prompt injection from repository files, comments, documentation, context files, or build output is expected local-agent risk and cannot be reliably prevented by pi.
```text
~/.pi/agent/trust.json
```
## Running Untrusted or Unmonitored Work
Use `/trust` to save a decision for future Pi processes.
For untrusted repositories, generated code you do not intend to monitor closely, or unattended automation, run pi in a contained environment. Use a container, VM, micro-VM, remote sandbox, or policy-controlled sandbox with only the files and credentials required for the task.
### Project trust without an interactive prompt
Common patterns are documented in [Containerization](containerization.md):
Print, JSON, and RPC modes cannot show the built-in trust prompt. If no command-line override, extension, or saved decision applies:
- run the whole `pi` process inside a container/sandbox
- run host pi while routing built-in tool execution into a Gondolin micro-VM
- mount only the workspace paths the agent should access
- avoid mounting host `~/.pi/agent` unless the container should access host sessions, settings, and credentials
- pass the minimum required API keys or use short-lived credentials
- restrict network access when the task does not need it
- review diffs and outputs before copying results back to trusted systems
- `defaultProjectTrust: "always"` loads protected project resources.
- `defaultProjectTrust: "ask"` or `"never"` skips them.
If you bind-mount a host workspace read/write, writes from inside the container or VM can still modify host files. Use read-only mounts or copy files into and out of the sandbox when you need stronger protection from unintended writes.
Use `--approve` or `--no-approve` when an automated run needs an explicit one-time decision.
## Reporting Security Issues
## Reduce impact and improve recovery
To report a security issue, follow the repository [Security Policy](https://github.com/earendil-works/pi/blob/main/SECURITY.md). Do not open a public issue for security-sensitive reports.
These practices do not replace isolation, but they reduce exposure or make recovery easier:
Expected local-agent behavior, lack of a built-in sandbox, prompt injection from untrusted content, and behavior of user-installed extensions or skills are generally outside the security boundary unless the report demonstrates a real privilege-boundary bypass or shows how pi grants access that the local user did not already have.
- Give Pi access only to files and services required for the task.
- Use snapshots, backups, or version control before substantial changes.
- Review extensions and packages before loading them. Extensions execute inside the Pi process.
- Prefer narrowly scoped, short-lived credentials.
- Review diffs and generated output before applying results to another system.
- Review sessions before exporting or sharing them. They can contain prompts, tool arguments, command output, file contents, and credentials exposed during the conversation.
## Report a security issue
Follow the repository [Security Policy](https://github.com/earendil-works/pi/blob/main/SECURITY.md). Do not open a public issue for a security-sensitive report.
Expected local-agent behavior, prompt injection from untrusted content, lack of a built-in sandbox, and behavior from user-installed extensions or skills are generally outside the security boundary unless the report demonstrates a privilege-boundary bypass or access that the local user did not already have.
packages/coding-agent/docs/session-format.md
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Sessions are stored as JSONL (JSON Lines) files. Each line is a JSON object with a `type` field. Session entries form a tree structure via `id`/`parentId` fields, enabling in-place branching without creating new files.
For programmatic creation, persistence, and tree navigation, see the [`SessionManager` API](sdk.md#sessionmanager-api).
## File Location
```
@@ -30,169 +33,18 @@ Existing sessions are automatically migrated to the current version (v3) when lo
Source on GitHub ([pi](https://github.com/earendil-works/pi)):
- [`packages/coding-agent/src/core/session-manager.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/session-manager.ts) - Session entry types and SessionManager
- [`packages/coding-agent/src/core/messages.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/messages.ts) - Extended message types (BashExecutionMessage, CustomMessage, etc.)
- [`packages/ai/src/types.ts`](https://github.com/earendil-works/pi/blob/main/packages/ai/src/types.ts) - Base message types (UserMessage, AssistantMessage, ToolResultMessage)
- [`packages/agent/src/types.ts`](https://github.com/earendil-works/pi/blob/main/packages/agent/src/types.ts) - AgentMessage union type
- [Message Types](message-types.md) - Shared message and content-block reference
- [`packages/coding-agent/src/core/messages.ts`](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/core/messages.ts) - Extended message types
- [`packages/ai/src/types.ts`](https://github.com/earendil-works/pi/blob/main/packages/ai/src/types.ts) - Base message and content-block types
- [`packages/agent/src/types.ts`](https://github.com/earendil-works/pi/blob/main/packages/agent/src/types.ts) - Extensible `AgentMessage` union
For TypeScript definitions in your project, inspect `node_modules/@earendil-works/pi-coding-agent/dist/` and `node_modules/@earendil-works/pi-ai/dist/`.
## Message Types
## Messages
Session entries contain `AgentMessage` objects. Understanding these types is essential for parsing sessions and writing extensions.
A `message` entry stores an [`AgentMessage`](message-types.md). Message content blocks, roles, usage, and message timestamps are defined in [Message Types](message-types.md).
### Content Blocks
Messages contain arrays of typed content blocks:
```typescript
interface TextContent {
type: "text";
text: string;
textSignature?: string;
}
interface ImageContent {
type: "image";
data: string; // base64 encoded
mimeType: string; // e.g., "image/jpeg", "image/png"
}
interface ThinkingContent {
type: "thinking";
thinking: string;
thinkingSignature?: string;
redacted?: boolean;
}
interface ToolCall {
type: "toolCall";
id: string;
name: string;
arguments: Record<string, any>;
thoughtSignature?: string;
namespace?: string;
}
```
### Base Message Types (from pi-ai)
```typescript
interface SystemMessage {
role: "system";
content: string | TextContent[];
toolsAdded?: Tool[];
toolsRemoved?: Array<{ name: string }>;
timestamp: number; // Unix ms
}
interface UserMessage {
role: "user";
content: string | (TextContent | ImageContent)[];
timestamp: number; // Unix ms
}
interface AssistantMessage {
role: "assistant";
content: (TextContent | ThinkingContent | ToolCall)[];
api: string;
provider: string;
model: string;
responseModel?: string;
responseId?: string;
providerThinkingLevel?: string;
diagnostics?: AssistantMessageDiagnostic[];
usage: Usage;
stopReason: "pending" | "stop" | "length" | "toolUse" | "error" | "aborted" | "deferred";
deferred?: DeferredHandle;
errorMessage?: string;
rawStopReason?: string;
endTurn?: boolean;
timestamp: number;
}
interface ToolResultMessage {
role: "toolResult";
toolCallId: string;
toolName: string;
content: (TextContent | ImageContent)[];
details?: any; // Tool-specific metadata
usage?: Usage; // Nested LLM work performed by the tool
isError: boolean;
timestamp: number;
}
interface Usage {
input: number;
output: number;
cacheRead: number;
cacheWrite: number;
cacheWrite1h?: number;
reasoning?: number;
totalTokens: number;
cost: {
input: number;
output: number;
cacheRead: number;
cacheWrite: number;
total: number;
};
}
```
`"pending"` is reserved for partial messages in streaming events. Terminal events replace it with a completion reason before Pi persists the assistant message, so `"pending"` should never appear in session JSONL. `"deferred"` is a terminal reason for a provider response that will complete later; its `deferred` handle contains the provider data needed to retrieve that response.
### Extended Message Types (from pi-coding-agent)
```typescript
interface BashExecutionMessage {
role: "bashExecution";
command: string;
output: string;
exitCode: number | undefined;
cancelled: boolean;
truncated: boolean;
fullOutputPath?: string;
excludeFromContext?: boolean; // true for !! prefix commands
timestamp: number;
}
interface CustomMessage {
role: "custom";
customType: string; // Extension identifier
content: string | (TextContent | ImageContent)[];
display: boolean; // Show in TUI
details?: any; // Extension-specific metadata
timestamp: number;
}
interface BranchSummaryMessage {
role: "branchSummary";
summary: string;
fromId: string | null; // Previous leaf whose abandoned path was summarized
timestamp: number;
}
interface CompactionSummaryMessage {
role: "compactionSummary";
summary: string;
tokensBefore: number;
timestamp: number;
}
```
### AgentMessage Union
```typescript
type AgentMessage =
| SystemMessage
| UserMessage
| AssistantMessage
| ToolResultMessage
| BashExecutionMessage
| CustomMessage
| BranchSummaryMessage
| CompactionSummaryMessage;
```
Session entry timestamps are ISO 8601 strings. The nested message timestamp is a Unix timestamp in milliseconds.
## Entry Base
@@ -435,59 +287,3 @@ for (const line of lines) {
}
}
```
## SessionManager API
Key methods for working with sessions programmatically.
### Static Creation Methods
- `SessionManager.create(cwd, sessionDir?, options?)` - New session; `options` can set `id` and `parentSession`
- `SessionManager.open(path, sessionDir?, cwdOverride?)` - Open existing session file
- `SessionManager.continueRecent(cwd, sessionDir?)` - Continue most recent or create new
- `SessionManager.inMemory(cwd?, options?, entries?)` - No file persistence, optionally initialized from entries
- `SessionManager.forkFrom(sourcePath, targetCwd, sessionDir?, options?)` - Fork session from another project
### Static Listing Methods
- `SessionManager.list(cwd, sessionDir?, onProgress?)` - List sessions for a directory
- `SessionManager.listAll(onProgress?)` - List all sessions across all projects
- `SessionManager.listAll(sessionDir?, onProgress?)` - List sessions from a custom session root
### Instance Methods - Session Management
- `newSession(options?)` - Start a new session (options: `{ id?: string, parentSession?: string }`)
- `setSessionFile(path)` - Switch to a different session file
- `createBranchedSession(leafId)` - Extract branch to new session file
### Instance Methods - Appending (all return entry ID)
- `appendMessage(message)` - Add message
- `appendThinkingLevelChange(level)` - Record thinking change
- `appendModelChange(provider, modelId)` - Record model change
- `appendUsage(kind, provider, model, usage)` - Record model-attributed usage outside the conversation
- `appendCompaction(summary, firstKeptEntryId, tokensBefore, details?, fromHook?, usage?)` - Add compaction
- `appendCustomEntry(customType, data?)` - Extension state (not in context)
- `appendSessionInfo(name)` - Set session display name
- `appendCustomMessageEntry(customType, content, display, details?)` - Extension message (in context)
- `appendLabelChange(targetId, label)` - Set/clear label
### Instance Methods - Tree Navigation
- `getLeafId()` - Current position
- `getLeafEntry()` - Get current leaf entry
- `getEntry(id)` - Get entry by ID
- `getBranch(fromId?)` - Walk from entry to root
- `getTree()` - Get full tree structure
- `getChildren(parentId)` - Get direct children
- `getLabel(id)` - Get label for entry
- `branch(entryId)` - Move leaf to earlier entry
- `resetLeaf()` - Reset leaf to null (before any entries)
- `branchWithSummary(entryId, summary, details?, fromHook?, usage?)` - Branch with context summary; `entryId` may be `null` to branch from the root
### Instance Methods - Context & Info
- `buildContextEntries()` - Get active branch entries with compaction applied
- `buildSessionContext()` - Get messages, thinkingLevel, and model for LLM
- `getEntries()` - All entries (excluding header)
- `getHeader()` - Session header metadata
- `getSessionName()` - Get display name from latest session_info entry
- `getCwd()` - Working directory
- `getSessionDir()` - Session storage directory
- `getSessionId()` - Session UUID
- `getSessionFile()` - Session file path (undefined for in-memory)
- `isPersisted()` - Whether session is saved to disk
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# Sessions
# Sessions and Context
Pi saves conversations as sessions so you can continue work, branch from earlier turns, and revisit previous paths.
Pi saves a conversation as a session. The active branch of that session supplies conversation history for the next model request. Use session commands to continue work, explore another branch, or reduce the amount of history sent to the model.
## Session Storage
## Continue or switch sessions
Sessions auto-save to `~/.pi/agent/sessions/`, organized by working directory. Each session is a JSONL file with a tree structure.
Pi saves sessions automatically unless you start it with `--no-session`.
```bash
pi -c # Continue most recent session
pi -r # Browse and select from past sessions
pi --no-session # Ephemeral mode; do not save
pi --name "my task" # Set session display name at startup
pi --session <path|id> # Use a specific session file or partial session ID
pi --fork <path|id> # Fork a session file or partial session ID into a new session
pi --continue
pi --resume
```
Use `/session` in interactive mode to see the current session file, session ID, message count, tokens, and cost.
`--continue` opens the most recent session for the current working directory. `--resume` opens the session picker. In interactive mode, `/resume` opens the same picker and `/new` starts a new session.
For the JSONL file format and SessionManager API, see [Session Format](session-format.md).
Use `/name` or `--name` to assign a recognizable session name. Run `/session` to verify the current session file, ID, message count, token usage, and cost.
## Session Commands
The session picker lets you search, rename, and delete sessions. It can also show paths, change sorting, and limit results to named sessions. See [Keybindings](keybindings.md#sessions) for its shortcuts.
| Command | Description |
|---------|-------------|
| `/resume` | Browse and select previous sessions |
| `/new` | Start a new session |
| `/name <name>` | Set the current session display name |
| `/session` | Show session info |
| `/tree` | Navigate the current session tree |
| `/fork` | Create a new session from a previous user message |
| `/clone` | Duplicate the current active branch into a new session |
| `/compact [prompt]` | Summarize older context; see [Compaction](compaction.md) |
| `/export [file]` | Export session to HTML |
| `/share` | Upload as private GitHub gist with shareable HTML link |
| `/bug [description]` | Report a bug to the Pi developers; see [Reporting Bugs](#reporting-bugs) |
## Choose how to branch
## Resuming and Deleting Sessions
Pi stores entries as a tree, so returning to an earlier point does not erase the branch you leave.
`/resume` opens an interactive session picker for the current project. `pi -r` opens the same picker at startup.
| Action | Result | Use it when |
|---|---|---|
| `/tree` | Moves within the current session file | Related alternatives should stay together |
| `/fork` | Creates a new session from an earlier user message | The alternative should become separate work |
| `/clone` | Copies the active branch into a new session | You want a separate copy of the current state |
In the picker you can:
In `/tree`, select a user message to put its text back in the editor. Edit and submit it to create another branch. Selecting an assistant response or another entry continues after that entry with an empty editor.
- search by typing
- toggle path display with Ctrl+P
- toggle sort mode with Ctrl+S
- filter to named sessions with Ctrl+N
- rename with Ctrl+R
- delete with Ctrl+D, then confirm
When you leave a branch, Pi can summarize it and attach that summary to the branch you enter. This preserves relevant work from the abandoned path without including every message from it.
When available, pi uses the `trash` CLI for deletion instead of permanently removing files.
For the persisted tree and entry types, see [Session Format](session-format.md).
## Naming Sessions
## Manage conversation context
Use `/name <name>` to set a human-readable session name:
The model receives the active branch, not every branch in the session file. Pi combines that history with the system prompt, discovered context files, available tools, and loaded skill descriptions. [How Pi Works](how-pi-works.md#context) describes how those inputs are assembled.
```text
/name Refactor auth module
```
The footer shows current context usage. When the active context approaches the model's limit, Pi normally compacts older history automatically. Compaction adds a summary and keeps recent messages. It does not delete the original session entries.
Set the name at startup with `--name` or `-n`:
Run `/compact` to compact manually. You can add instructions when the summary should preserve a particular topic or decision. Configure automatic compaction and retained history through [Settings](settings.md#compaction).
```bash
pi --name "Refactor auth module"
pi --name "CI audit" -p "Review this build failure"
```
Compaction can fail if the provider is unavailable or cannot accept the summarization request. Correct the provider problem and run `/compact` again. Disabling automatic compaction does not disable the manual command.
Named sessions are easier to find in `/resume` and `pi -r`.
See [Compaction Reference](compaction.md) for thresholds, retained boundaries, branch-summary behavior, and extension hooks.
## Branching with `/tree`
## Control session storage
Sessions are stored as trees. Every entry has an `id` and `parentId`, and the current position is the active leaf. `/tree` lets you jump to any previous point and continue from there without creating a new file.
By default, Pi stores sessions under `~/.pi/agent/sessions/`, grouped by working directory. Use `--session-dir`, `PI_CODING_AGENT_SESSION_DIR`, or the `sessionDir` setting to choose another location. The CLI option has highest precedence.
<p align="center"><img src="images/tree-view.png" alt="Tree View" width="600"></p>
Use `--no-session` for an ephemeral run. An ephemeral session cannot be resumed after Pi exits.
Example shape:
Use `--session` when you already know the session path or ID. Use `--fork` to create a new session from an existing session before interactive mode starts.
```text
├─ user: "Hello, can you help..."
│ └─ assistant: "Of course! I can..."
│ ├─ user: "Let's try approach A..."
│ │ └─ assistant: "For approach A..."
│ │ └─ user: "That worked..." ← active
│ └─ user: "Actually, approach B..."
│ └─ assistant: "For approach B..."
```
## Export or share a session
### Tree Controls
Use `/export` to write the current session as HTML or JSONL. Use `/share` to upload it and get a viewer link. Pi uses a Radius artifact when Radius authentication is configured; otherwise, it uses a private GitHub gist.
| Key | Action |
|-----|--------|
| ↑/↓ | Navigate visible entries |
| ←/→ | Page up/down |
| Ctrl+←/Ctrl+→ or Alt+←/Alt+→ | Fold/unfold or jump between branch segments |
| Shift+L | Set or clear a label on the selected entry |
| Shift+T | Toggle label timestamps |
| Enter | Select entry |
| Escape/Ctrl+C | Cancel |
| Ctrl+O | Cycle filter mode |
Review exported or shared sessions first. They can contain prompts, model responses, tool arguments, command output, file contents, and extension messages.
Filter modes are: default, no-tools, user-only, labeled-only, and all. Configure the default with `treeFilterMode` in [Settings](settings.md).
## Report a bug
### Selection Behavior
Run `/bug [description]` to prepare a private report for the Pi developers. You can include the session transcript, omit it, or ask the current model to summarize the problem. Review any transcript or generated summary because it can contain sensitive conversation data.
Selecting a user or custom message:
1. Moves the leaf to the selected message's parent.
2. Places the selected message text in the editor.
3. Lets you edit and resubmit, creating a new branch.
Selecting an assistant, tool, compaction, or other non-user entry:
1. Moves the leaf to that entry.
2. Leaves the editor empty.
3. Lets you continue from that point.
Selecting the root user message resets the leaf to an empty conversation and places the original prompt in the editor.
## `/tree`, `/fork`, and `/clone`
| Feature | `/tree` | `/fork` | `/clone` |
|---------|---------|---------|----------|
| Output | Same session file | New session file | New session file |
| View | Full tree | User-message selector | Current active branch |
| Typical use | Explore alternatives in place | Start a new session from an earlier prompt | Duplicate current work before continuing |
| Summary | Optional branch summary | None | None |
Use `/tree` when you want to keep alternatives together. Use `/fork` or `/clone` when you want a separate session file.
## Branch Summaries
When `/tree` switches away from one branch to another, pi can summarize the abandoned branch and attach that summary at the new position. This preserves important context from the path you left without replaying the whole branch.
When prompted, choose one of:
1. no summary
2. summarize with the default prompt
3. summarize with custom focus instructions
See [Compaction](compaction.md) for branch summarization internals and extension hooks.
## Reporting Bugs
`/bug [description]` collects a bug report for the Pi developers. The report is not shared publicly. The dialog asks for an optional description and whether to include the session transcript. If you decline the transcript, pi offers to have the current model write a summary of what went wrong instead; the transcript is sent to your provider with your credentials, and only the summary is attached.
The last step chooses where the report goes:
- **Upload Report** sends it to the Pi developers through `radius.pi.dev`. No login is required; if you are logged into Radius, the report is attributed to your account so the developers can follow up. If the upload fails, pi offers to export the zip instead.
- **Export as Zip** writes a zip archive to the current directory. Attach it to an issue or send it to the developers yourself.
Both contain the same files:
| File | Content |
|------|---------|
| `report.json` | pi version, runtime, OS, terminal, current model and provider configuration, loaded extensions, and settings. API keys, header values, URL credentials, and the analytics tracking id are never included. |
| `diagnostics.json` | Provider and runtime error diagnostics attached to assistant messages across the whole session (failed or aborted turns, retries, error messages), plus any recorded crashes. Always included; message content is not. |
| `session.jsonl` | The current branch of the session, only when you chose to include it. It contains file contents and command output read during the session. |
| `summary.md` | The model-written summary, only when you chose to generate one. |
Each report has a UUID. pi shows it after upload or export and records it in the session as a `pi.bug-report` entry so you can refer to it later.
Set `PI_RADIUS_GATEWAY` to upload to a different Radius deployment.
### Crashes
When pi exits because of an uncaught exception or a fatal runtime error, it stores the error message and stack trace in `~/.pi/agent/crashes.json` (the newest five). The next interactive start shows a warning once; running `/bug` attaches the stored crashes to `diagnostics.json` and removes the file after the report is uploaded or exported. Resume the crashed session with `pi -r` first if you want the transcript in the report.
## Session Format
Session files are JSONL and contain message entries, model changes, thinking-level changes, labels, compactions, branch summaries, and extension entries.
For parsers, extensions, SDK usage, and the full SessionManager API, see [Session Format](session-format.md).
The report includes environment and provider configuration without credential values, plus recorded error diagnostics. Upload it through `radius.pi.dev` or export the same report as a zip to inspect and share yourself. Uploads do not require a login; Radius authentication attributes the report to your account so the developers can follow up. If an upload fails, Pi offers to export the zip.
packages/coding-agent/docs/settings.md
+106 -384
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@@ -1,428 +1,150 @@
# Settings
# Settings Reference
Pi uses JSON settings files with project settings overriding global settings.
This reference lists user-configurable settings, their types, defaults, and purposes. Project settings override agent-directory settings. Resource lists are combined. See [Configuration](configuration.md) for file locations and trust behavior.
| Location | Scope |
|----------|-------|
| `~/.pi/agent/settings.json` | Global (all projects) |
| `.pi/settings.json` | Project (current directory) |
## Model and thinking
Edit directly or use `/settings` for common options. To save startup model defaults interactively, use `/model` and press Ctrl+S on the desired model. To save the startup thinking level, use `/thinking` and press Ctrl+S.
## Project Trust
On interactive startup, pi asks before trusting a project folder that contains project-local settings, resources, or project `.agents/skills` and has no saved decision for the folder or a parent folder in `~/.pi/agent/trust.json`. Trusting a project allows pi to load `.pi/settings.json` and `.pi` resources, install missing project packages, and execute project extensions.
Non-interactive modes (`-p`, `--mode json`, and `--mode rpc`) do not show a trust prompt. Without an applicable saved trust decision, they use `defaultProjectTrust` from global settings: `ask` (default) and `never` ignore those project resources, while `always` trusts them. Pass `--approve`/`-a` or `--no-approve`/`-na` to override project trust for one run.
If no extension or saved decision applies, `defaultProjectTrust` controls the fallback behavior. Set it to `"ask"`, `"always"`, or `"never"` in `~/.pi/agent/settings.json`, or change it with `/settings`.
`pi config` and package commands use the same project trust flow, except `pi update` never prompts. Pass `--approve` to trust project-local settings for one command or `--no-approve` to ignore them.
Use `/trust` in interactive mode to save a project trust decision for future sessions, including trust for the immediate parent folder. It writes `~/.pi/agent/trust.json` only; the current session is not reloaded, so restart pi for changes to take effect.
## All Settings
### Model & Thinking
<a id="model-cycling"></a>
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `defaultProvider` | string | - | Startup provider (e.g., `"anthropic"`, `"openai"`; saved with Ctrl+S in `/model`, or edited manually) |
| `defaultModel` | string | - | Startup model ID (saved with Ctrl+S in `/model`, or edited manually) |
| `defaultThinkingLevel` | string | - | Startup thinking level (saved with Ctrl+S in `/thinking`, or edited manually): `"off"`, `"minimal"`, `"low"`, `"medium"`, `"high"`, `"xhigh"`, `"max"` |
| `modelThinkingLevels` | object | - | Per-model startup thinking levels keyed by `"provider/modelId"`; configure from `/settings` → Default thinking level per model or edit manually |
| `hideThinkingBlock` | boolean | `false` | Hide thinking blocks in output |
| `showCacheMissNotices` | boolean | `false` | Show transcript notices for significant prompt-cache misses, successful cache-warming usage, compaction or branch-summary usage, and provider recovery diagnostics such as dropped Anthropic thinking blocks |
| `thinkingBudgets` | object | - | Custom token budgets per thinking level. Anthropic, Google, and Bedrock use these natively. OpenAI-compatible models use them when `compat.thinkingTokenBudgetField` (or `supportsThinkingTokenBudget`) is set. |
| `cacheWarming` | string | `"streaming"` | Prompt cache-warming mode: `"off"`, `"streaming"`, or `"idle"`. Global setting only. |
|---|---|---|---|
| `defaultProvider` | string | Automatic | Startup AI provider. |
| `defaultModel` | string | Automatic | Startup model ID. |
| `defaultThinkingLevel` | `"off" \| "minimal" \| "low" \| "medium" \| "high" \| "xhigh" \| "max"` | `"medium"` | Startup thinking level. |
| `modelThinkingLevels` | object | None | Per-model startup thinking levels keyed by exact `provider/modelId`. |
| `thinkingBudgets` | object | Built-in budgets | Token budgets for `minimal`, `low`, `medium`, and `high` thinking levels. |
| `enabledModels` | `string[]` | All available models | Model patterns used for startup selection and model cycling. Uses the same format as `--models`. |
| `hideThinkingBlock` | boolean | `false` | Hide thinking blocks in the transcript. |
| `showCacheMissNotices` | boolean | `false` | Show notices for significant cache misses, successful cache warming, compaction usage, and provider recovery. |
| `cacheWarming` | `"off" \| "streaming" \| "idle"` | `"streaming"` | Keep eligible provider prompt caches warm during active runs or, with `"idle"`, between runs. Global setting only. |
#### Cache Warming
Cache warming runs only when the model declares a cache lifetime and Pi estimates at least $0.05 in avoided cache-miss cost. Refresh usage counts toward session totals but does not enter model context. `/session` shows the next decision; extensions can override it with `cache_warming_decision`. See [Prompt Cache Lifetimes](models.md#prompt-cache-lifetimes).
Providers drop a prompt cache entry after a period of inactivity, so the first request after a pause pays full input price again. Cache warming re-sends the last request with a one-token output budget shortly before expiry:
See [Choose a Model](models.md) for model selection and thinking controls.
- `"off"` disables warming.
- `"streaming"` protects expensive prefixes during long tool executions and stops as soon as the agent settles.
- `"idle"` also considers refreshes while waiting for your next prompt, using a fixed 15% continuation probability measured from real usage.
```json
{
"cacheWarming": "idle"
}
```
A refresh is sent only when the expected avoided cache-miss cost, minus the cost of the refresh, leaves at least $0.05 of expected savings. Active agent runs use 100% continuation probability. `/session` shows the next decision, continuation probability, expected savings, threshold, and estimated costs. When cache miss notices are enabled, each successful refresh appears in the transcript with its cost; notices identify extension overrides.
Warming stops when the context changes (model switch, compaction, branch navigation). Idle warming stops no later than 30 minutes after the last real provider request; warming during an active agent run stops after 60 minutes. Extensions can override each decision through the [`cache_warming_decision`](extensions.md#cache_warming_decision) event.
Each refresh is billed as a cache read of the full context plus one output token. Usage and cost show up in session totals but never enter model context. Pi schedules candidates at 90% of the cache lifetime while leaving at least ten seconds before expiry.
Warming needs a known cache lifetime for the model and the retention tier the request used (`short`, or `long` with `PI_CACHE_RETENTION=long`). The built-in catalog carries lifetimes for direct Anthropic; custom models and other providers can declare theirs with `promptCache` in `models.json` (see [Prompt Cache Lifetimes](models.md#prompt-cache-lifetimes)). Claude models that use budget-based rather than adaptive thinking are skipped while thinking is on, because Anthropic derives the thinking budget from `max_tokens` and keys the message cache on it, so a one-token request cannot reproduce the entry.
#### thinkingBudgets
```json
{
"thinkingBudgets": {
"minimal": 1024,
"low": 4096,
"medium": 10240,
"high": 32768
}
}
```
### UI & Display
## Interaction
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `theme` | string | `"dark"` | Theme name (`"dark"`, `"light"`, or custom) |
| `externalEditor` | string | `$VISUAL`, then `$EDITOR`, then Notepad on Windows or `nano` elsewhere | Command for Ctrl+G external editor; takes precedence over environment variables |
| `quietStartup` | boolean | `false` | Hide startup header |
| `defaultProjectTrust` | string | `"ask"` | Fallback project trust behavior: `"ask"`, `"always"`, or `"never"`. Global setting only |
| `collapseChangelog` | boolean | `false` | Show condensed changelog after updates |
| `enableInstallTelemetry` | boolean | `true` | Send the anonymous install/update ping and selected provider attribution headers. This does not control update checks |
| `enableAnalytics` | boolean | `false` | Opt-in analytics data sharing. Currently only asked for during the experimental first-time setup (`PI_EXPERIMENTAL=1`) |
| `trackingId` | string | - | Analytics tracking identifier, generated when `enableAnalytics` is turned on |
| `doubleEscapeAction` | string | `"tree"` | Action for double-escape: `"tree"`, `"fork"`, or `"none"` |
| `treeFilterMode` | string | `"default"` | Default filter for `/tree`: `"default"`, `"no-tools"`, `"user-only"`, `"labeled-only"`, `"all"` |
| `editorPaddingX` | number | `0` | Horizontal padding for input editor (0-3) |
| `outputPad` | number | `1` | Horizontal padding for user messages, assistant messages, and thinking (0 or 1) |
| `autocompleteMaxVisible` | number | `5` | Max visible items in autocomplete dropdown (3-20) |
| `showHardwareCursor` | boolean | `false` | Show the terminal cursor while TUI positions it for IME support |
| `tuiMode` | string | `"regular"` | Interactive TUI mode: `"regular"` or experimental `"fullscreen"`. Changes from `/settings` apply immediately; `--tui-mode` overrides this setting at startup |
| `fullscreenExitOutput` | string | `"transcript"` | Fullscreen exit output: `"transcript"` prints the final transcript and resume hint, while `"resume-hint"` restores the previous screen and prints only the resume hint. Has no effect in regular TUI mode |
| `fullscreenScrollbar` | string | `"auto"` | Fullscreen transcript scrollbar: `"auto"` shows it temporarily while scrolling or while the pointer is over its rightmost-column track, `"always"` reserves that column and keeps it visible, and `"hidden"` hides it. Has no effect in regular TUI mode |
| `fullscreenCopyOnSelect` | boolean | `true` | Automatically copy selected text in fullscreen mode. When disabled, selections stay highlighted and `Ctrl+X` copies the active selection |
|---|---|---|---|
| `steeringMode` | `"all" \| "one-at-a-time"` | `"one-at-a-time"` | How queued steering messages are delivered. |
| `followUpMode` | `"all" \| "one-at-a-time"` | `"one-at-a-time"` | How queued follow-up messages are delivered. |
| `externalEditor` | string | `$VISUAL`, `$EDITOR`, then platform default | Command opened by the external-editor keybinding. |
| `doubleEscapeAction` | `"tree" \| "fork" \| "none"` | `"tree"` | Action for double Escape with an empty editor. |
| `treeFilterMode` | `"default" \| "no-tools" \| "user-only" \| "labeled-only" \| "all"` | `"default"` | Initial filter used by `/tree`. |
| `defaultProjectTrust` | `"ask" \| "always" \| "never"` | `"ask"` | Fallback project-trust behavior. **Can only be set in agent-directory settings.** |
For VS Code, include `--wait` so pi resumes after the editor exits:
```json
{
"externalEditor": "code --wait"
}
```
### Telemetry and update checks
`enableInstallTelemetry` controls the anonymous install/update ping to `https://pi.dev/api/report-install` and Pi attribution headers for OpenRouter, NVIDIA NIM, and Cloudflare provider requests. Opting out disables both. It does not disable update checks; Pi can still fetch `https://pi.dev/api/latest-version` to look for the latest version.
Set `PI_SKIP_VERSION_CHECK=1` to disable the Pi version update check. Use `--offline` or `PI_OFFLINE=1` to disable all startup network operations described here, including update checks, package update checks, and install/update telemetry.
### Network
## Tools
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `httpProxy` | string | - | HTTP proxy URL applied as `HTTP_PROXY` and `HTTPS_PROXY`. Global setting only. |
|---|---|---|---|
| `defaultTools` | `string[]` | `read`, `bash`, `edit`, `write` | Built-in tools enabled at startup. An empty array disables all built-in tools but not extension or SDK tools. |
```json
{
"httpProxy": "http://127.0.0.1:7890"
}
```
Available built-in tools are `read`, `bash`, `powershell`, `edit`, `write`, `grep`, `find`, and `ls`. CLI tool options override this setting for one invocation. See [Command Line](cli.md#tools).
### Warnings
## Sessions and context
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `warnings.anthropicExtraUsage` | boolean | `true` | Show a warning when Anthropic subscription auth may use paid extra usage |
```json
{
"warnings": {
"anthropicExtraUsage": false
}
}
```
|---|---|---|---|
| `sessionDir` | string | Agent session directory | Session storage directory. Relative paths resolve from the working directory. `PI_CODING_AGENT_SESSION_DIR` and `--session-dir` override this setting. |
### Compaction
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `compaction.enabled` | boolean | `true` | Enable auto-compaction |
| `compaction.reserveTokens` | number | `16384` | Tokens reserved for LLM response |
| `compaction.keepRecentTokens` | number | `20000` | Recent tokens to keep (not summarized) |
| `compaction.modelOverrides` | object | - | Per-model `reserveTokens` and `keepRecentTokens` overrides keyed by exact `"provider/modelId"` |
|---|---|---|---|
| `compaction.enabled` | boolean | `true` | Enable automatic compaction. |
| `compaction.reserveTokens` | number | `16384` | Tokens reserved for the model response. |
| `compaction.keepRecentTokens` | number | `20000` | Recent tokens retained without summarization. |
| `compaction.modelOverrides` | object | None | Per-model token settings keyed by exact `provider/modelId`. |
```json
{
"compaction": {
"enabled": true,
"reserveTokens": 16384,
"keepRecentTokens": 20000
}
}
```
<a id="per-model-compaction-overrides"></a>
#### Per-model compaction overrides
Compaction token values must be non-negative safe integers. Each value resolves independently from the matching model override, then the ordinary compaction setting, then the built-in default. Project and user objects merge before model lookup.
```json
{
"compaction": {
"enabled": true,
"reserveTokens": 16384,
"keepRecentTokens": 20000,
"modelOverrides": {
"some-provider/big-model": {
"reserveTokens": 400000
},
"local/small-model": {
"reserveTokens": 2048,
"keepRecentTokens": 4096
}
}
}
}
```
See [Compaction Reference](compaction.md) for trigger, summarization, and validation behavior.
Keys match exact, case-sensitive `provider/modelId` values, not names or glob patterns. Model IDs may contain slashes (for example, `openrouter/anthropic/claude-sonnet-4`).
Each token setting resolves independently: matching model override → ordinary `compaction` setting → built-in default. In the example, `some-provider/big-model` keeps the ordinary 20000 recent tokens. Token values must be non-negative safe integers. Invalid values in the matching model override produce an error when read; only omitted fields fall back to the ordinary setting. Model override entries must be objects. Invalid ordinary token settings produce an error when read, even if the active model has a valid override. Only omitted ordinary values use built-in defaults. Zero is accepted, but `reserveTokens: 0` leaves no response margin and also sets the summarization output budget to zero.
Global and project settings merge recursively **before** model lookup. A project can override one field for a model without replacing its other fields or other models. A global model-specific value takes precedence over a project-wide fallback; override the same model entry in the project to change it.
`enabled` is not model-specific. The active model's token settings apply to manual compaction, automatic threshold checks (including between assistant turns), and overflow recovery. Switching models takes effect on the next check or compaction. Configure overrides in JSON; `/settings` retains the ordinary auto-compaction toggle.
See [compaction.md](compaction.md) for trigger and summarization behavior.
### Branch Summary
### Branch summaries
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `branchSummary.reserveTokens` | number | `16384` | Tokens reserved when selecting branch history; output is capped at 4096 tokens |
| `branchSummary.skipPrompt` | boolean | `false` | Skip "Summarize branch?" prompt on `/tree` navigation (defaults to no summary) |
|---|---|---|---|
| `branchSummary.reserveTokens` | number | `16384` | Tokens reserved when summarizing branch history. |
| `branchSummary.skipPrompt` | boolean | `false` | Skip the branch-summary prompt and default to no summary. |
### Retry
## Terminal and display
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `retry.enabled` | boolean | `true` | Enable automatic agent-level retry on transient errors |
| `retry.maxRetries` | number | `3` | Maximum agent-level retry attempts |
| `retry.baseDelayMs` | number | `2000` | Base delay for agent-level exponential backoff (2s, 4s, 8s) |
| `retry.maxAgentDelayMs` | number | `60000` | Max agent-level retry delay (60s) |
| `retry.provider.timeoutMs` | number | SDK default | Provider/SDK request timeout in milliseconds |
| `retry.provider.maxRetries` | number | `0` | Provider/SDK retry attempts |
| `retry.provider.maxRetryDelayMs` | number | `60000` | Max server-requested delay before failing (60s) |
|---|---|---|---|
| `theme` | string | Detected | Built-in or custom theme name. |
| `quietStartup` | boolean | `false` | Hide the startup header. |
| `tuiMode` | `"regular" \| "fullscreen"` | `"regular"` | Interactive terminal UI mode. |
| `fullscreenExitOutput` | `"transcript" \| "resume-hint"` | `"transcript"` | Output printed when fullscreen mode exits. |
| `fullscreenScrollbar` | `"auto" \| "always" \| "hidden"` | `"auto"` | Fullscreen transcript scrollbar behavior. |
| `fullscreenCopyOnSelect` | boolean | `true` | Copy selected text automatically in fullscreen mode. |
| `editorPaddingX` | number | `0` | Horizontal editor padding from 0 to 3 cells. |
| `outputPad` | `0 \| 1` | `1` | Horizontal transcript padding. |
| `autocompleteMaxVisible` | number | `5` | Visible autocomplete entries, from 3 to 20. |
| `showHardwareCursor` | boolean | `false` | Show the terminal cursor while Pi positions it for input methods. |
| `terminal.showImages` | boolean | `true` | Display inline images when supported. |
| `terminal.imageWidthCells` | number | `60` | Preferred inline image width in terminal cells. |
| `terminal.clearOnShrink` | boolean | `false` | Clear empty rows when rendered content shrinks. |
| `terminal.showTerminalProgress` | boolean | `false` | Show OSC 9;4 progress in the terminal tab. |
| `terminal.hyperlinks` | `boolean \| "auto"` | `"auto"` | Override OSC 8 hyperlink detection. |
| `terminal.images` | `"kitty" \| "iterm2" \| "auto" \| false` | `"auto"` | Override inline-image protocol detection. |
| `terminal.trueColor` | `boolean \| "auto"` | `"auto"` | Override true-color detection. |
| `images.autoResize` | boolean | `true` | Resize images to at most 2000 by 2000 pixels before sending them to a model. |
| `images.blockImages` | boolean | `false` | Prevent images from being sent to models. |
| `markdown.codeBlockIndent` | string | `" "` | Prefix used to indent rendered code blocks. |
| `markdown.mermaid` | `"off" \| "final" \| "streaming"` | `"streaming"` | Mermaid rendering mode. |
Agent-level retries use exponential backoff capped by `retry.maxAgentDelayMs`, so long retry runs stay responsive after prolonged outages.
See [Themes](themes.md) and [Terminal Setup](terminal-setup.md) for format and platform details.
When a provider requests a retry delay longer than `retry.provider.maxRetryDelayMs`, the request fails immediately with an informative error instead of waiting silently. Set it to `0` to disable the limit.
Keep `retry.provider.maxRetries` at `0` unless provider-level retries are explicitly needed. Setting it above `0` can make SDK/provider retries handle out-of-usage-limit errors before Pi sees them, which may block the agent until the provider quota resets in some circumstances.
```json
{
"retry": {
"enabled": true,
"maxRetries": 3,
"baseDelayMs": 2000,
"maxAgentDelayMs": 60000,
"provider": {
"timeoutMs": 3600000,
"maxRetries": 0,
"maxRetryDelayMs": 60000
}
}
}
```
### Message Delivery
## Network and retries
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `steeringMode` | string | `"one-at-a-time"` | How steering messages are sent: `"all"` or `"one-at-a-time"` |
| `followUpMode` | string | `"one-at-a-time"` | How follow-up messages are sent: `"all"` or `"one-at-a-time"` |
| `transport` | string | `"auto"` | Preferred transport for providers that support multiple transports: `"sse"`, `"websocket"`, `"websocket-cached"`, or `"auto"` |
| `httpIdleTimeoutMs` | number | `300000` | HTTP header/body idle timeout in milliseconds, also used by providers with explicit stream idle timeouts. Set to `0` to disable. |
| `websocketConnectTimeoutMs` | number | `15000` | WebSocket connect/open handshake timeout in milliseconds for providers that support WebSocket transports. Set to `0` to disable. |
|---|---|---|---|
| `transport` | `"auto" \| "sse" \| "websocket" \| "websocket-cached"` | `"auto"` | Preferred transport for AI providers that support multiple transports. |
| `httpProxy` | string | None | Proxy URL applied as `HTTP_PROXY` and `HTTPS_PROXY` for Pi-managed HTTP clients. **Can only be set in agent-directory settings.** |
| `httpIdleTimeoutMs` | number | `300000` | HTTP header and body idle timeout in milliseconds. Set to `0` to disable. |
| `websocketConnectTimeoutMs` | number | `15000` | WebSocket connection timeout in milliseconds. Set to `0` to disable. |
| `retry.enabled` | boolean | `true` | Enable automatic agent-level retry for transient failures. |
| `retry.maxRetries` | number | `3` | Maximum agent-level retry attempts. |
| `retry.baseDelayMs` | number | `2000` | Initial exponential-backoff delay in milliseconds. |
| `retry.maxAgentDelayMs` | number | `60000` | Maximum agent-level retry delay in milliseconds. |
| `retry.provider.timeoutMs` | number | `httpIdleTimeoutMs` | Provider request timeout in milliseconds. |
| `retry.provider.maxRetries` | number | `0` | Provider-level retry attempts. |
| `retry.provider.maxRetryDelayMs` | number | `60000` | Maximum server-requested delay in milliseconds. Set to `0` to disable the limit. |
### Terminal & Images
Keep `retry.provider.maxRetries` at `0` unless provider-level retries are required. Provider retries can delay Pi from handling quota and usage-limit errors itself.
## Shell
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `terminal.showImages` | boolean | `true` | Show images in terminal (if supported) |
| `terminal.imageWidthCells` | number | `60` | Preferred inline image width in terminal cells |
| `terminal.clearOnShrink` | boolean | `false` | Clear empty rows when content shrinks (can cause flicker) |
| `terminal.hyperlinks` | boolean or `"auto"` | `"auto"` | Override OSC 8 hyperlink support (advanced, JSON-only) |
| `terminal.images` | string or boolean | `"auto"` | Override image protocol support with `"kitty"`, `"iterm2"`, `false`, or `"auto"` (advanced, JSON-only) |
| `terminal.trueColor` | boolean or `"auto"` | `"auto"` | Override truecolor support (advanced, JSON-only) |
| `images.autoResize` | boolean | `true` | Resize images to 2000x2000 max. Applies to `@file` attachments, `read`, and images returned by tools |
| `images.blockImages` | boolean | `false` | Block all images from being sent to LLM |
|---|---|---|---|
| `shellPath` | string | Platform default | Custom shell executable path. Supports a leading `~`. |
| `shellCommandPrefix` | string | None | Prefix prepended to every shell command. |
| `npmCommand` | `string[]` | `npm` | Command and arguments used for npm package lookup and installation. |
### Shell
See [Shell aliases](shell-aliases.md) for shell setup and [Pi Packages](packages.md) for package-manager behavior.
## Resources
Resource paths in user settings resolve from the agent directory. Paths in project settings resolve from the project `.pi` directory. Absolute paths and `~` are supported.
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `shellPath` | string | - | Custom shell path (e.g., for Cygwin on Windows); supports a leading `~` for the home directory |
| `shellCommandPrefix` | string | - | Prefix for every bash command (e.g., `"shopt -s expand_aliases"`) |
| `npmCommand` | string[] | - | Command argv used for npm package lookup/install operations (e.g., `["mise", "exec", "node@20", "--", "npm"]`) |
|---|---|---|---|
| `packages` | array | `[]` | npm, git, or local Pi package sources. See [Pi Packages](packages.md). |
| `extensions` | `string[]` | `[]` | Extension files or directories. |
| `skills` | `string[]` | `[]` | Skill files or directories. |
| `prompts` | `string[]` | `[]` | Prompt-template files or directories. |
| `themes` | `string[]` | `[]` | Theme files or directories. |
| `enableSkillCommands` | boolean | `true` | Register skills as `/skill:name` commands. |
Windows paths in JSON must use forward slashes or escaped backslashes:
Resource arrays support glob exclusions with `!pattern`, exact inclusion with `+path`, and exact exclusion with `-path`. Pi loads resources listed in both user-level and project settings.
```json
{
"shellPath": "C:/Program Files/Git/bin/bash.exe"
}
```
```json
{
"shellPath": "C:\\Program Files\\Git\\bin\\bash.exe"
}
```
```json
{
"npmCommand": ["mise", "exec", "node@20", "--", "npm"]
}
```
`npmCommand` is used for all npm package-manager operations, including installs, uninstalls, and dependency installs inside git packages. User-scoped npm packages install under `~/.pi/agent/npm/`; project-scoped npm packages install under `.pi/npm/`. Use argv-style entries exactly as the process should be launched. When `npmCommand` is configured, git package dependency installs use plain `install` to avoid npm-specific flags in wrappers or alternate package managers.
### Tools
## Updates, telemetry, and warnings
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `defaultTools` | string[] | - | Built-in tools enabled initially. When omitted, Pi uses its standard defaults |
`defaultTools` selects the built-in tools enabled at startup. Extension and SDK custom tools remain enabled. Available built-ins are `read`, `bash`, `powershell`, `edit`, `write`, `grep`, `find`, and `ls`:
```json
{
"defaultTools": ["bash", "edit", "write"]
}
```
On Windows, select `powershell` instead of `bash`, or include both:
```json
{
"defaultTools": ["read", "powershell", "edit", "write"]
}
```
An empty array starts with no built-in tools while preserving extension and SDK custom tools. `--tools` replaces this behavior with a strict allowlist for all tools, `--no-tools` disables all tools, and `--no-builtin-tools` disables the built-in defaults. `--exclude-tools` filters the resulting list. A project `defaultTools` array replaces the global array.
### Sessions
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `sessionDir` | string | - | Directory where session files are stored. Accepts absolute or relative paths, plus `~`. |
```json
{ "sessionDir": ".pi/sessions" }
```
When multiple sources specify a session directory, precedence is `--session-dir`, `PI_CODING_AGENT_SESSION_DIR`, then `sessionDir` in settings.json.
### Model Cycling
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `enabledModels` | string[] | - | Model patterns for Ctrl+P cycling (same format as `--models` CLI flag) |
```json
{
"enabledModels": ["claude-*", "gpt-4o", "gemini-2*"]
}
```
### Markdown
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `markdown.codeBlockIndent` | string | `" "` | Indentation for code blocks |
| `markdown.mermaid` | string | `"streaming"` | Mermaid rendering mode: `"off"`, `"final"`, or `"streaming"` |
### Resources
These settings define where to load extensions, skills, prompts, and themes from.
Paths in `~/.pi/agent/settings.json` resolve relative to `~/.pi/agent`. Paths in `.pi/settings.json` resolve relative to `.pi`. Absolute paths and `~` are supported.
| Setting | Type | Default | Description |
|---------|------|---------|-------------|
| `packages` | array | `[]` | npm/git packages to load resources from |
| `extensions` | string[] | `[]` | Local extension file paths or directories |
| `skills` | string[] | `[]` | Local skill file paths or directories |
| `prompts` | string[] | `[]` | Local prompt template paths or directories |
| `themes` | string[] | `[]` | Local theme file paths or directories |
| `enableSkillCommands` | boolean | `true` | Register skills as `/skill:name` commands |
Arrays support glob patterns and exclusions. Use `!pattern` to exclude. Use `+path` to force-include an exact path and `-path` to force-exclude an exact path.
#### packages
String form loads all resources from a package:
```json
{
"packages": ["pi-skills", "@org/my-extension"]
}
```
Object form filters which resources to load:
```json
{
"packages": [
{
"source": "pi-skills",
"skills": ["brave-search", "transcribe"],
"extensions": []
}
]
}
```
See [packages.md](packages.md) for package management details.
## Example
```json
{
"defaultProvider": "anthropic",
"defaultModel": "claude-sonnet-4-20250514",
"defaultThinkingLevel": "medium",
"modelThinkingLevels": {
"anthropic/claude-sonnet-4-20250514": "high"
},
"theme": "dark",
"compaction": {
"enabled": true,
"reserveTokens": 16384,
"keepRecentTokens": 20000
},
"retry": {
"enabled": true,
"maxRetries": 3
},
"enabledModels": ["claude-*", "gpt-4o"],
"warnings": {
"anthropicExtraUsage": true
},
"packages": ["pi-skills"]
}
```
## Project Overrides
Project settings (`.pi/settings.json`) override global settings. Nested objects are merged:
```json
// ~/.pi/agent/settings.json (global)
{
"theme": "dark",
"compaction": { "enabled": true, "reserveTokens": 16384 }
}
// .pi/settings.json (project)
{
"compaction": { "reserveTokens": 8192 }
}
// Result
{
"theme": "dark",
"compaction": { "enabled": true, "reserveTokens": 8192 }
}
```
|---|---|---|---|
| `collapseChangelog` | boolean | `false` | Show a condensed changelog after an update. |
| `enableInstallTelemetry` | boolean | `true` | Enable anonymous install/update reporting and selected provider attribution headers. Does not control update checks. |
| `enableAnalytics` | boolean | `false` | Opt in to analytics data sharing. Currently used only by the experimental first-run setup. |
| `warnings.anthropicExtraUsage` | boolean | `true` | Warn when Anthropic subscription authentication may use paid extra usage. |
packages/coding-agent/docs/shell-aliases.md
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# Shell Aliases
# Configure shell commands
Pi runs bash in non-interactive mode (`bash -c`), which doesn't expand aliases by default.
Pi starts a separate non-interactive shell process for each Bash command. Non-interactive Bash does not expand aliases by default and usually does not load the same startup files as an interactive terminal.
To enable your shell aliases, add to `~/.pi/agent/settings.json`:
Use `shellPath` to choose the Bash executable and `shellCommandPrefix` to run setup before each command.
## Understand which shell Pi uses
| Command source | Shell |
|---|---|
| Model calls the built-in `bash` tool | Pi's resolved Bash executable |
| You enter `!command` or `!!command` | The same resolved Bash executable |
| Model calls the optional `powershell` tool | PowerShell 7 (`pwsh.exe`) or Windows PowerShell |
| An extension provides or replaces a shell tool | The operations implemented by that extension |
Pi normally invokes Bash with `bash -c`. On Unix systems, it uses `/bin/bash`, then `bash` on `PATH`, and finally `sh` when Bash is unavailable. Native Windows first checks the configured path, then Git Bash, then `bash.exe` on `PATH`.
## Choose a Bash executable
Set `shellPath` in `~/.pi/agent/settings.json` when Pi should use a specific executable:
```json
{
"shellCommandPrefix": "shopt -s expand_aliases\neval \"$(grep '^alias ' ~/.zshrc)\""
"shellPath": "~/.local/bin/bash"
}
```
Adjust the path (`~/.zshrc`, `~/.bashrc`, etc.) to match your shell config.
On Windows, use forward slashes or escape backslashes:
```json
{
"shellPath": "C:\\cygwin64\\bin\\bash.exe"
}
```
Run `/reload` after changing the setting. See [Run Pi on Windows](windows.md) for the native Windows defaults.
## Run setup before every Bash command
Set `shellCommandPrefix` to prepend shell setup to both the built-in `bash` tool and user-entered `!` or `!!` commands:
```json
{
"shellCommandPrefix": "export CI=1"
}
```
Pi joins the prefix and requested command with a newline. The prefix runs again for every command, so keep it fast and free of interactive prompts.
## Enable Bash aliases
Store aliases needed by Pi in a Bash-compatible file instead of parsing an entire interactive shell configuration.
Create `~/.bash_aliases`:
```bash
alias ll='ls -la'
alias gs='git status --short'
```
Then configure Pi to enable alias expansion and load the file:
```json
{
"shellCommandPrefix": "shopt -s expand_aliases\nsource ~/.bash_aliases"
}
```
Run `/reload`, then verify the alias through Pi:
```text
!ll
```
The command should produce the same listing as `ls -la`.
Aliases must use Bash-compatible syntax. Do not source an arbitrary `.zshrc` into Bash because zsh options, functions, and plugins may not parse or behave correctly there.
## Troubleshooting
### The prefix works for `!` but not for an extension tool
`shellCommandPrefix` configures Pi's built-in Bash execution. An extension that replaces the `bash` tool or provides its own shell operations controls its own setup. Check that extension's documentation.
### `shopt` is not found
Pi has fallen back to `sh` or `shellPath` points to a non-Bash shell. Install Bash or set `shellPath` to a Bash executable before using Bash-specific setup such as `shopt`.
### A setup command waits for input
Remove interactive commands from `shellCommandPrefix`. The prefix runs in a non-interactive process before every Bash command.
For the complete setting definitions, see [Shell settings](settings.md#shell).
packages/coding-agent/docs/skills.md
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@@ -1,232 +1,93 @@
> pi can create skills. Ask it to build one for your use case.
# Skills
Skills are self-contained capability packages that the agent loads on-demand. A skill provides specialized workflows, setup instructions, helper scripts, and reference documentation for specific tasks.
Skills give Pi specialized instructions and supporting files for a particular kind of work. Pi advertises each available skill by name and description, then loads its full instructions only when the task calls for them.
Pi implements the [Agent Skills standard](https://agentskills.io/specification), warning about most violations but remaining lenient. Pi allows skill names to differ from their parent directory even though the standard disallows it; that rule is suboptimal for shared skill directories used across multiple agent harnesses.
Use a skill when a workflow needs more context than a prompt template but does not need a new executable integration point. Skills can bundle scripts, references, and assets alongside their instructions.
## Table of Contents
Pi implements the [Agent Skills specification](https://agentskills.io/specification). Most invalid fields produce warnings rather than stopping startup.
- [Locations](#locations)
- [How Skills Work](#how-skills-work)
- [Skill Commands](#skill-commands)
- [Skill Structure](#skill-structure)
- [Frontmatter](#frontmatter)
- [Validation](#validation)
- [Example](#example)
- [Skill Repositories](#skill-repositories)
## Create a skill
## Locations
A skill is a directory containing `SKILL.md`:
> **Security:** Skills can instruct the model to perform any action and may include executable code the model invokes. Review skill content before use.
Pi loads skills from:
- Global:
- `~/.pi/agent/skills/`
- `~/.agents/skills/`
- Project (only after the project is trusted):
- `.pi/skills/`
- `.agents/skills/` in `cwd` and ancestor directories (up to git repo root, or filesystem root when not in a repo)
- Packages: `skills/` directories or `pi.skills` entries in `package.json`
- Settings: `skills` array with files or directories
- CLI: `--skill <path>` (repeatable, additive even with `--no-skills`)
Discovery rules:
- In `~/.pi/agent/skills/` and `.pi/skills/`, direct root `.md` files are discovered as individual skills when they have valid skill frontmatter with a non-empty `description`
- In all skill locations, directories containing `SKILL.md` are discovered recursively
- In `~/.agents/skills/` and project `.agents/skills/`, root `.md` files are ignored, but nested `.md` files in grouping folders are discovered when they declare skill frontmatter
- Root Markdown files other than `SKILL.md` that do not look like skills are ignored silently
Disable discovery with `--no-skills` (explicit `--skill` paths still load).
### Using Skills from Other Harnesses
To use skills from Claude Code or OpenAI Codex, add their directories to settings:
```json
{
"skills": [
"~/.claude/skills",
"~/.codex/skills"
]
}
```
For project-level Claude Code skills, add to `.pi/settings.json`:
```json
{
"skills": ["../.claude/skills"]
}
```
## How Skills Work
1. At startup, pi scans skill locations and extracts names and descriptions
2. The system prompt includes available skills in XML format per the [specification](https://agentskills.io/integrate-skills)
3. When a task matches, the agent uses `read`, or `bash` when `read` is unavailable, to load the full SKILL.md (models don't always do this; use prompting or `/skill:name` to force it)
4. The agent follows the instructions, using relative paths to reference scripts and assets
This is progressive disclosure: only descriptions are always in context, full instructions load on-demand.
## Skill Commands
Skills register as `/skill:name` commands:
```bash
/skill:brave-search # Load and execute the skill
/skill:pdf-tools extract # Load skill with arguments
```
Arguments after the command are appended to the skill content as `User: <args>`.
Toggle skill commands via `/settings` in interactive mode or in `settings.json`:
```json
{
"enableSkillCommands": true
}
```
## Skill Structure
A skill is a directory with a `SKILL.md` file. Everything else is freeform.
```
my-skill/
├── SKILL.md # Required: frontmatter + instructions
├── scripts/ # Helper scripts
│ └── process.sh
├── references/ # Detailed docs loaded on-demand
│ └── api-reference.md
```text
pdf-tools/
├── SKILL.md
├── scripts/
│ └── extract.sh
├── references/
│ └── formats.md
└── assets/
└── template.json
```
### SKILL.md Format
````markdown
---
name: my-skill
description: What this skill does and when to use it. Be specific.
---
# My Skill
## Setup
Run once before first use:
```bash
cd /path/to/skill && npm install
```
## Usage
```bash
./scripts/process.sh <input>
```
````
Use relative paths from the skill directory:
Start `SKILL.md` with frontmatter followed by direct instructions:
```markdown
See [the reference guide](references/REFERENCE.md) for details.
```
## Frontmatter
Per the [Agent Skills specification](https://agentskills.io/specification#frontmatter-required):
| Field | Required | Description |
|-------|----------|-------------|
| `name` | Yes | Max 64 chars. Lowercase a-z, 0-9, hyphens. Unlike the standard, Pi does not require this to match the parent directory because that standard requirement is suboptimal for shared skill directories. |
| `description` | Yes | Max 1024 chars. What the skill does and when to use it. |
| `license` | No | License name or reference to bundled file. |
| `compatibility` | No | Max 500 chars. Environment requirements. |
| `metadata` | No | Arbitrary key-value mapping. |
| `allowed-tools` | No | Space-delimited list of pre-approved tools (experimental). |
| `disable-model-invocation` | No | When `true`, skill is hidden from system prompt. Users must use `/skill:name`. |
### Name Rules
- 1-64 characters
- Lowercase letters, numbers, hyphens only
- No leading/trailing hyphens
- No consecutive hyphens
Pi does not require the name to match the parent directory. The Agent Skills standard does, but that requirement is suboptimal for shared skill directories used by multiple tools.
Valid: `pdf-processing`, `data-analysis`, `code-review`
Invalid: `PDF-Processing`, `-pdf`, `pdf--processing`
### Description Best Practices
The description determines when the agent loads the skill. Be specific.
Good:
```yaml
description: Extracts text and tables from PDF files, fills PDF forms, and merges multiple PDFs. Use when working with PDF documents.
```
Poor:
```yaml
description: Helps with PDFs.
```
## Validation
Pi validates skills against the Agent Skills standard. Most issues produce warnings but still load the skill:
- Name exceeds 64 characters or contains invalid characters
- Name starts/ends with hyphen or has consecutive hyphens
- Description exceeds 1024 characters
Unknown frontmatter fields are ignored.
Declared skills with missing descriptions are not loaded. Malformed `SKILL.md` files and `SKILL.md` files without a description produce warnings and are not loaded. Other Markdown files without valid skill frontmatter are ignored.
Name collisions (same name from different locations) warn and keep the first skill found.
## Example
```
brave-search/
├── SKILL.md
├── search.js
└── content.js
```
**SKILL.md:**
````markdown
---
name: brave-search
description: Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content.
name: pdf-tools
description: Extract text and tables from PDF files. Use when reading, converting, or inspecting PDFs.
---
# Brave Search
# PDF tools
## Setup
```bash
cd /path/to/brave-search && npm install
Read `references/formats.md` before converting a document. Run scripts relative to this skill directory.
```
## Search
The description determines when the model considers loading the skill. State both what the skill does and when it applies. Avoid descriptions such as “Helps with PDFs,” which do not provide enough routing information.
```bash
./search.js "query" # Basic search
./search.js "query" --content # Include page content
Use relative paths from the skill directory when referring to bundled files. Pi tells the model where the skill lives so it can resolve those paths.
## Understand how skills load
At startup, Pi scans configured skill locations and adds each skill’s name, description, and path to the system prompt. It does not add the full instructions.
When a task matches, the model reads `SKILL.md` and follows its instructions. This keeps detailed guidance out of context until it is needed. A model might fail to load a relevant skill, so use `/skill:name` when you need to force it.
Arguments after `/skill:name` are appended to the loaded instructions as a user request:
```text
/skill:pdf-tools extract report.pdf
```
## Extract Page Content
Set `disable-model-invocation: true` in frontmatter when a skill should be available only through its explicit command. The `enableSkillCommands` [setting](settings.md) controls whether skill commands appear in interactive command discovery; manually entered `/skill:name` commands still work.
```bash
./content.js https://example.com
```
````
<a id="choose-where-it-loads"></a>
## Skill Repositories
## Add it to Pi
- [Anthropic Skills](https://github.com/anthropics/skills) - Document processing (docx, pdf, pptx, xlsx), web development
- [Pi Skills](https://github.com/badlogic/pi-skills) - Web search, browser automation, Google APIs, transcription
Place the skill in your user or project skills directory. Directories containing `SKILL.md` are discovered recursively.
Pi also supports the Agent Skills locations `~/.agents/skills/` and `.agents/skills/`. Project `.agents/skills/` directories are discovered from the working directory through its ancestors, stopping at the repository root when one exists.
Pi accepts some standalone Markdown skills, but a directory containing `SKILL.md` is the portable form and should be preferred. See [Settings](settings.md#resources) and [Pi Packages](packages.md) for additional locations.
Project skills can instruct the model to run scripts or modify files. Review unfamiliar skills and their supporting files before granting project trust.
## Write portable frontmatter
The Agent Skills specification defines these fields:
| Field | Purpose |
|---|---|
| `name` | Command and display name |
| `description` | Routing description shown to the model |
| `license` | License name or bundled license file |
| `compatibility` | Environment requirements |
| `metadata` | Additional key-value metadata |
| `allowed-tools` | Experimental pre-approved tool list |
| `disable-model-invocation` | Hide the skill from automatic model selection |
Names use lowercase letters, numbers, and hyphens, with no leading, trailing, or consecutive hyphens. They can contain at most 64 characters; descriptions can contain at most 1024.
Pi neither requires nor warns when the declared name differs from the parent directory. Other Agent Skills implementations may enforce that requirement, so matching names remain the portable choice.
Malformed `SKILL.md` files and declared skills without descriptions are not loaded. Name collisions keep the first discovered skill and produce a warning.
## Validate and share a skill
Run Pi from a location where the skill is discoverable, then inspect the startup diagnostics and `/skill:name` command. Run `/reload` after editing a skill during an active session.
Use a [Pi package](packages.md) to distribute one or more skills through npm or git. Keep environment setup inside the skill and declare any required runtime dependencies in the package.
For examples, see the [Anthropic skills collection](https://github.com/anthropics/skills) and [Pi skills collection](https://github.com/badlogic/pi-skills).
packages/coding-agent/docs/slash-commands.md
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# Slash commands
Type `/` in Pi's terminal editor to search the commands available in the current session. This page lists the built-in commands in the current Pi release.
Extensions, prompt templates, and skills can add commands. The command menu in Pi is therefore the exact reference for the resources loaded in your session.
## Models and settings
| Command | Description |
|---|---|
| `/settings` | Open settings |
| `/model [provider/model]` | Select a model |
| `/thinking [level]` | Set the thinking level |
| `/scoped-models` | Configure the models used by interactive cycling |
| `/login [provider]` | Add provider authentication |
| `/logout` | Remove provider authentication |
| `/llama` | Manage models on the configured llama.cpp router |
## Sessions and context
| Command | Description |
|---|---|
| `/new` | Start a new session |
| `/resume` | Switch to another saved session |
| `/name [name]` | Set the session display name, or show the current name when omitted |
| `/session` | Show current session information and statistics |
| `/tree` | Navigate the session tree |
| `/fork` | Create a new session from an earlier user message |
| `/clone` | Duplicate the current session at its current position |
| `/compact [instructions]` | Compact the current context, optionally with custom instructions |
| `/import <path>` | Import and resume a JSONL session |
## Export and share
| Command | Description |
|---|---|
| `/copy` | Copy the last assistant message |
| `/export [path]` | Export the session as HTML or JSONL |
| `/share` | Upload the session and return a viewer link |
| `/bug [description]` | Prepare a private bug report for the Pi developers |
Review a session before exporting or sharing it. Sessions can contain prompts, tool arguments, command output, file contents, and credentials exposed during the conversation.
## Runtime and project
| Command | Description |
|---|---|
| `/trust` | Save a project trust decision for future Pi processes |
| `/reload` | Reload keybindings, extensions, skills, templates, themes, and context files |
| `/hotkeys` | Show active keyboard shortcuts |
| `/changelog` | Show changelog entries |
| `/quit` | Quit Pi |
## Commands added by resources
- Extensions can register commands with their own arguments and completion behavior.
- Each prompt template is available under its template name.
- Skills are available as `/skill:name` when skill commands are enabled.
Use `/reload` after adding or changing a discovered command resource. See [Extensions](extensions.md), [Prompt Templates](prompt-templates.md), and [Skills](skills.md) for their loading and naming rules.
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# Terminal Setup
# Configure your terminal
Pi uses the [Kitty keyboard protocol](https://sw.kovidgoyal.net/kitty/keyboard-protocol/) for reliable modifier key detection. Most modern terminals support this protocol, but some require configuration.
Most modern terminals work with Pi without additional setup. Use this page when modified keys, scrolling, links, images, colors, or input-method editor (IME) positioning do not behave as expected.
## Capability Overrides
Pi uses extended-key protocols so terminals can distinguish combinations such as `Shift+Enter` and `Alt+Enter` from plain `Enter`. Terminal proxies, multiplexers, and built-in IDE terminals can change or discard that information.
Pi auto-detects OSC 8 hyperlinks, inline image protocols, and truecolor. If detection fails behind a terminal proxy or multiplexer, use these advanced overrides:
## Troubleshooting
| Capability | Environment variable | JSON setting |
|------------|----------------------|--------------|
| OSC 8 hyperlinks | `PI_HYPERLINKS=1\|0\|auto` | `terminal.hyperlinks: true\|false\|"auto"` |
| Inline images | `PI_IMAGE_PROTOCOL=kitty\|iterm2\|none\|auto` | `terminal.images: "kitty"\|"iterm2"\|false\|"auto"` |
| Truecolor | `PI_TRUE_COLOR=1\|0\|auto` | `terminal.trueColor: true\|false\|"auto"` |
| Symptom | Start here |
|---|---|
| `Shift+Enter` submits instead of inserting a line | Your terminal's section below; for tmux, see [Run Pi in tmux](tmux.md) |
| `Alt+Enter` does not queue a follow-up | [WezTerm](#wezterm), [Alacritty](#alacritty), or [Windows Terminal](#windows-terminal) |
| Fullscreen scrolling is unusually slow | [iTerm2](#iterm2) |
| Links work but show no hover preview | [Ghostty](#ghostty) |
| Inline images or colors are not detected | [Override detected capabilities](#override-detected-capabilities) |
| An IME candidate window appears in the wrong place | [WezTerm](#wezterm) or [IntelliJ IDEA](#intellij-idea-integrated-terminal) |
| Modified keys fail only inside tmux | [Run Pi in tmux](tmux.md) |
Settings take precedence over environment variables; unset or `auto` preserves detection. Only force capabilities supported by the complete terminal path, since unsupported escape sequences can corrupt rendering.
Use `/hotkeys` to inspect Pi's active shortcuts. See [Keybindings](keybindings.md) to change them.
## Kitty
Works out of the box.
Kitty supports the required keyboard protocol without additional configuration.
## iTerm2
### Regular TUI mode
Regular terminal mode works without additional configuration.
Works out of the box.
### Fix slow fullscreen scrolling
### Fullscreen TUI mode
In fullscreen mode, Pi owns the viewport, so iTerm2 sends mouse-wheel reports instead of scrolling native terminal history. Fast trackpad gestures can then move only about one line at a time.
Pi owns the viewport, so iTerm2 sends mouse-wheel reports instead of scrolling its native scrollback. With iTerm2's default fast-trackpad behavior, those reports can lose most of an accelerated wheel delta, making fullscreen scrolling much slower than regular scrolling.
To change this behavior:
If fast mouse-wheel gestures move only about one line at a time in fullscreen mode:
1. Open **iTerm2 > Settings > Advanced**.
2. Search for **Trackpad scrolls fast?**.
3. Set it to **No**.
1. Open **iTerm2 → Settings → Advanced**.
2. Search for **Trackpad scrolls fast?** and set it to **No**.
This is an iTerm2-wide workaround and may also change native trackpad scrolling. The underlying behavior is tracked in [iTerm2 issue 9619](https://gitlab.com/gnachman/iterm2/-/work_items/9619).
This is an iTerm2-wide setting and can also change native trackpad scrolling. The underlying behavior is tracked in [iTerm2 issue 9619](https://gitlab.com/gnachman/iterm2/-/work_items/9619).
## Apple Terminal
Pi enables enhanced key reporting when available. If Terminal.app still sends plain Return for `Shift+Enter`, pi uses a local macOS modifier fallback to treat that Return as `Shift+Enter`.
Pi enables enhanced key reporting when available. If Terminal.app still sends plain Return for `Shift+Enter`, Pi uses a local macOS modifier fallback and treats it as `Shift+Enter`.
This fallback only works when pi runs on the same Mac as Terminal.app. It cannot detect the local keyboard over remote SSH.
The fallback works only when Pi runs on the same Mac as Terminal.app. It cannot inspect the local modifier state when Pi runs on another machine over SSH.
## Ghostty
Add to your Ghostty config (`~/Library/Application Support/com.mitchellh.ghostty/config` on macOS, `~/.config/ghostty/config` on Linux):
Add this mapping to Ghostty's configuration if `Alt+Backspace` does not work:
```
```text
keybind = alt+backspace=text:\x1b\x7f
```
Older Claude Code versions may have added this Ghostty mapping:
The configuration file is `~/Library/Application Support/com.mitchellh.ghostty/config` on macOS and `~/.config/ghostty/config` on Linux.
```
Older Claude Code configurations may contain:
```text
keybind = shift+enter=text:\n
```
That mapping sends a raw linefeed byte. Inside pi, that is indistinguishable from `Ctrl+J`, so tmux and pi no longer see a real `shift+enter` key event.
This sends a raw linefeed, which Pi cannot distinguish from `Ctrl+J`. Remove the mapping if an older Claude Code installation is the only reason you added it. Pi already binds `Ctrl+J` as a newline alternative, so the mapping may appear to work while still preventing Pi and tmux from receiving a real `Shift+Enter` event.
If Claude Code 2.x or newer is the only reason you added that mapping, you can remove it, unless you want to use Claude Code in tmux, where it still requires that Ghostty mapping.
### Open links in fullscreen mode
Pi binds `Ctrl+J` as a default newline alias, so `Shift+Enter` keeps working in tmux via that remap without extra pi configuration.
### Fullscreen TUI mode
In fullscreen mode, links remain clickable, but Ghostty does not show its hover underline or lower-left URL preview while pi captures mouse input. Hold `Shift+Command` on macOS or `Shift+Ctrl` on Linux to use Ghostty's native link handling.
Links remain clickable in fullscreen mode, but Ghostty does not show its normal hover underline or URL preview while Pi captures mouse input. Hold `Shift+Command` on macOS or `Shift+Ctrl` on Linux to use Ghostty's native link handling.
## WezTerm
WezTerm usually works out of the box for `Shift+Enter` via xterm modifyOtherKeys. To use the Kitty keyboard protocol explicitly, create `~/.wezterm.lua`:
WezTerm normally reports `Shift+Enter` through xterm extended keys. To enable the Kitty keyboard protocol explicitly, create `~/.wezterm.lua`:
```lua
local wezterm = require 'wezterm'
@@ -76,7 +77,19 @@ config.enable_kitty_keyboard = true
return config
```
On macOS, WezTerm binds `Option+Enter` to fullscreen by default. To use `Option+Enter` for pi follow-up queueing, add this key override:
### Forward Alt+Enter on macOS
WezTerm binds `Option+Enter` to fullscreen by default on macOS. To use it for Pi's follow-up queue, add this entry to your `config.keys` table:
```lua
{
key = 'Enter',
mods = 'ALT',
action = wezterm.action.SendString('\x1b[13;3u'),
}
```
A complete minimal configuration is:
```lua
local wezterm = require 'wezterm'
@@ -91,13 +104,20 @@ config.keys = {
return config
```
If you already have a `config.keys` table, add the entry to it.
### Position an IME candidate window in WSL
On WSL, WezTerm may require a visible hardware cursor for IME candidate window positioning. If CJK IME candidates do not follow the text cursor, set `PI_HARDWARE_CURSOR=1` before running pi or set `showHardwareCursor` to `true` in settings.
If CJK IME candidates do not follow Pi's text cursor in WSL, show the hardware cursor:
```bash
export PI_HARDWARE_CURSOR=1
pi
```
You can instead set `showHardwareCursor` to `true` in Pi settings.
## Alacritty
Alacritty usually works out of the box for `Shift+Enter`. On macOS, `Option+Enter` may arrive as plain `Enter`. To use `Option+Enter` for pi follow-up queueing, add to `~/.config/alacritty/alacritty.toml`:
Alacritty normally reports `Shift+Enter`. On macOS, `Option+Enter` can arrive as plain `Enter`. Add this to `~/.config/alacritty/alacritty.toml` to forward it to Pi:
```toml
[[keyboard.bindings]]
@@ -106,20 +126,13 @@ mods = "Alt"
chars = "\u001b[13;3u"
```
Restart Alacritty after changing the config.
Restart Alacritty after changing the file.
## VS Code (Integrated Terminal)
## VS Code integrated terminal
VS Code 1.109.5 and newer enable Kitty keyboard protocol in the integrated terminal by default, so `Shift+Enter` should work out of the box.
VS Code 1.109.5 and newer enable the Kitty keyboard protocol in the integrated terminal by default.
VS Code versions older than 1.109.5 need an explicit terminal keybinding for `Shift+Enter`.
`keybindings.json` locations:
- macOS: `~/Library/Application Support/Code/User/keybindings.json`
- Linux: `~/.config/Code/User/keybindings.json`
- Windows: `%APPDATA%\\Code\\User\\keybindings.json`
Add to `keybindings.json`:
For an older version, add a `Shift+Enter` terminal binding to `keybindings.json`:
```json
{
@@ -130,9 +143,15 @@ Add to `keybindings.json`:
}
```
## Zed (Integrated Terminal)
The user `keybindings.json` file is normally located at:
Add these key bindings to your Zed `keymap.json`:
- macOS: `~/Library/Application Support/Code/User/keybindings.json`
- Linux: `~/.config/Code/User/keybindings.json`
- Windows: `%APPDATA%\\Code\\User\\keybindings.json`
## Zed integrated terminal
Add these bindings to Zed's `keymap.json`:
```json
{
@@ -147,46 +166,54 @@ Add these key bindings to your Zed `keymap.json`:
## Windows Terminal
Pi uses Windows-style keybindings when running natively on Windows or in WSL:
Windows Terminal uses Pi's Windows and WSL shortcut defaults. See [Keybindings](keybindings.md) for the complete list.
- `Alt+V` pastes an image or clipboard text.
- `Ctrl+F` searches the transcript in fullscreen mode, and `Ctrl+Up`/`Ctrl+Down` jump between marked messages.
- `Alt+P` cycles to the previous model.
- `Ctrl+Z` undoes editing on native Windows; WSL uses `Alt+Z` so `Ctrl+Z` can suspend pi.
- `Ctrl+Q` queues a follow-up message and `Alt+Q` restores queued messages.
### Forward Shift+Enter
Add to `settings.json` (Ctrl+Shift+, or Settings → Open JSON file) to forward `Shift+Enter` for inserting a new line:
Open Windows Terminal's `settings.json` with `Ctrl+Shift+,` or **Settings > Open JSON file**. Add this object to its `actions` array:
```json
{
"actions": [
{
"command": { "action": "sendInput", "input": "\u001b[13;2u" },
"keys": "shift+enter"
}
]
"command": { "action": "sendInput", "input": "\u001b[13;2u" },
"keys": "shift+enter"
}
```
Windows Terminal binds `Alt+Enter` to fullscreen by default. To use it instead of pi's `Ctrl+Q` default for follow-up queueing, configure Windows Terminal to send the key and bind `app.message.followUp` to `alt+enter` in pi.
Fully close and reopen Windows Terminal, then verify that `Shift+Enter` inserts a new line in Pi.
If you already have an `actions` array, add the object to it. Fully close and reopen Windows Terminal after changing its settings.
### Use Alt+Enter for follow-ups
## xfce4-terminal, terminator
Windows Terminal binds `Alt+Enter` to fullscreen by default. Pi therefore uses `Ctrl+Q` for follow-ups on Windows and WSL.
These terminals have limited escape sequence support. Modified Enter keys like `Ctrl+Enter` and `Shift+Enter` cannot be distinguished from plain `Enter`, preventing custom keybindings such as `submit: ["ctrl+enter"]` from working.
To use `Alt+Enter` instead, configure Windows Terminal to forward the key and bind `app.message.followUp` to `alt+enter` in Pi's `keybindings.json`. See [Keybindings](keybindings.md#assign-keybindings).
For the best experience, use a terminal that supports the Kitty keyboard protocol:
- [Kitty](https://sw.kovidgoyal.net/kitty/)
- [Ghostty](https://ghostty.org/)
- [WezTerm](https://wezfurlong.org/wezterm/)
- [iTerm2](https://iterm2.com/)
- [Alacritty](https://github.com/alacritty/alacritty) (requires compilation with Kitty protocol support)
## xfce4-terminal and Terminator
## IntelliJ IDEA (Integrated Terminal)
These terminals cannot reliably distinguish modified Enter keys from plain `Enter`. Custom bindings such as `Ctrl+Enter` or `Shift+Enter` therefore may not work.
The built-in terminal has limited escape sequence support. Shift+Enter cannot be distinguished from Enter in IntelliJ's terminal.
Use a terminal with modern extended-key support when you need those shortcuts, such as Kitty, Ghostty, WezTerm, iTerm2, Windows Terminal, or a compatible Alacritty build.
If you want the hardware cursor visible, set `PI_HARDWARE_CURSOR=1` before running pi (disabled by default for compatibility).
## IntelliJ IDEA integrated terminal
Consider using a dedicated terminal emulator for the best experience.
IntelliJ IDEA's built-in terminal cannot reliably distinguish `Shift+Enter` from plain `Enter`. Use `Ctrl+J` for a newline or run Pi in a terminal with modern extended-key support.
If an IME candidate window does not follow the text cursor, show the hardware cursor:
```bash
export PI_HARDWARE_CURSOR=1
pi
```
## Override detected capabilities
Pi automatically detects OSC 8 hyperlinks, inline image protocols, and truecolor support. A terminal proxy or multiplexer can make that detection inaccurate.
| Capability | Environment variable | Setting |
|---|---|---|
| Hyperlinks | `PI_HYPERLINKS=1\|0\|auto` | `terminal.hyperlinks: true\|false\|"auto"` |
| Inline images | `PI_IMAGE_PROTOCOL=kitty\|iterm2\|none\|auto` | `terminal.images: "kitty"\|"iterm2"\|false\|"auto"` |
| Truecolor | `PI_TRUE_COLOR=1\|0\|auto` | `terminal.trueColor: true\|false\|"auto"` |
Settings take precedence over environment variables. An unset value or `auto` preserves automatic detection.
Only force a capability supported by the complete terminal path. Unsupported escape sequences can corrupt rendering. See [Environment Variables](environment-variables.md#pi-process-configuration) and [Settings](settings.md) for the canonical value definitions.
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# Termux (Android) Setup
# Run Pi on Android with Termux
Pi runs on Android via [Termux](https://termux.dev/), a terminal emulator and Linux environment for Android.
Pi runs on Android through [Termux](https://termux.dev/), a terminal emulator and Linux environment. Text input, file tools, and shell commands are supported. Pi can copy and paste text through the Android clipboard with Termux:API. Clipboard image paste is not supported.
## Prerequisites
## Before you begin
1. Install [Termux](https://github.com/termux/termux-app#installation) from GitHub or F-Droid (not Google Play, that version is deprecated)
2. Install [Termux:API](https://github.com/termux/termux-api#installation) from GitHub or F-Droid for clipboard and other device integrations
Install Termux from [GitHub or F-Droid](https://github.com/termux/termux-app#installation). Do not use the deprecated Google Play build.
## Installation
[Termux:API](https://github.com/termux/termux-api#installation) is optional. Install it only when you want Pi to copy or paste Android clipboard text, or when shell commands need Android device APIs.
```bash
# Update packages
pkg update && pkg upgrade
## Install Pi
# Install dependencies
pkg install nodejs termux-api git
1. Update Termux packages:
# Install pi
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
```bash
pkg update && pkg upgrade
```
# Create config directory
mkdir -p ~/.pi/agent
2. Install Node.js and Git:
# Run pi
pi
```
```bash
pkg install nodejs git
```
## Clipboard Support
3. Install Pi:
Clipboard operations use `termux-clipboard-set` and `termux-clipboard-get` when running in Termux. The Termux:API app must be installed for these to work.
```bash
npm install -g --ignore-scripts @earendil-works/pi-coding-agent
```
Image clipboard is not supported on Termux (the `ctrl+v` image paste feature will not work).
4. Verify the installation:
## Example AGENTS.md for Termux
```bash
pi --version
```
Create `~/.pi/agent/AGENTS.md` to help the agent understand the Termux environment:
5. Open the folder you want to work in and start Pi:
````markdown
# Agent Environment: Termux on Android
```bash
cd /path/to/working-folder
pi
```
## Location
- **OS**: Android (Termux terminal emulator)
- **Home**: `/data/data/com.termux/files/home`
- **Prefix**: `/data/data/com.termux/files/usr`
- **Shared storage**: `/storage/emulated/0` (Downloads, Documents, etc.)
Continue with the main [Quickstart](quickstart.md#3-choose-a-model) to connect a model and run your first task.
## Opening URLs
```bash
termux-open-url "https://example.com"
```
## Access Android shared storage
## Opening Files
```bash
termux-open file.pdf # Opens with default app
termux-open --chooser image.jpg # Choose app
```
Termux cannot access shared Android storage until you grant permission. Run this once:
## Clipboard
```bash
termux-clipboard-set "text" # Copy
termux-clipboard-get # Paste
```
## Notifications
```bash
termux-notification -t "Title" -c "Content"
```
## Device Info
```bash
termux-battery-status # Battery info
termux-wifi-connectioninfo # WiFi info
termux-telephony-deviceinfo # Device info
```
## Sharing
```bash
termux-share -a send file.txt # Share file
```
## Other Useful Commands
```bash
termux-toast "message" # Quick toast popup
termux-vibrate # Vibrate device
termux-tts-speak "hello" # Text to speech
termux-camera-photo out.jpg # Take photo
```
## Notes
- Termux:API app must be installed for `termux-*` commands
- Use `pkg install termux-api` for the command-line tools
- Storage permission needed for `/storage/emulated/0` access
````
## Limitations
- **No image clipboard**: Termux clipboard API only supports text
- **Storage access**: To access files in `/storage/emulated/0` (Downloads, etc.), run `termux-setup-storage` once to grant permissions
## Troubleshooting
### Clipboard not working
Ensure both apps are installed:
1. Termux (from GitHub or F-Droid)
2. Termux:API (from GitHub or F-Droid)
Then install the CLI tools:
```bash
pkg install termux-api
```
### Permission denied for shared storage
Run once to grant storage permissions:
```bash
termux-setup-storage
```
### Node.js installation issues
After approval, Android shared storage is available under `/storage/emulated/0` and through the links Termux creates under `~/storage/`.
Only grant this permission when Pi should be able to access those files. Commands and tools running in Termux use the same storage permissions as the Termux process.
## Use clipboard commands
Pi uses `termux-clipboard-set` to copy text and `termux-clipboard-get` for its clipboard-paste shortcut. Shell commands can use both commands directly. Install the Termux:API app and its command-line package:
If npm fails, try clearing the cache:
```bash
npm cache clean --force
pkg install termux-api
```
Verify the integration:
```bash
printf 'Pi clipboard test' | termux-clipboard-set
termux-clipboard-get
```
The second command should print `Pi clipboard test`.
The Termux clipboard API supports text only. Pi's clipboard-paste shortcut inserts that text into the editor but cannot attach clipboard images.
## Add Termux-specific instructions
Pi detects that it is running in Termux, but it cannot infer how you want it to interact with Android. Add only the environment details relevant to your work to `~/.pi/agent/AGENTS.md`:
````markdown
# Termux environment
- Pi runs in Termux on Android.
- Shared Android storage is under `/storage/emulated/0`.
- Open URLs with `termux-open-url "https://example.com"`.
- Open files with `termux-open <path>`.
- Do not access shared storage unless the task requires it.
````
Run `/reload` after changing the file during an active session.
## Troubleshooting
### Clipboard integration fails
Confirm that you installed both components:
1. The Termux:API Android app from the same source as Termux
2. The `termux-api` command-line package
Then run the clipboard verification commands above outside Pi. If they fail there, fix the Termux:API installation before retrying Pi's copy command.
### Shared storage reports permission denied
Run `termux-setup-storage`, approve the Android permission request, and retry the path under `~/storage/` or `/storage/emulated/0`.
### Pi is not found after installation
Open a new Termux shell and run:
```bash
npm prefix -g
command -v pi
```
Confirm that the global npm binary directory is on `PATH`, then reinstall Pi if the package is missing.
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> pi can create themes. Ask it to build one for your setup.
# Customize Pi with themes
# Themes
Themes control the colors Pi uses in interactive mode and HTML exports. Pi includes `dark` and `light` themes. You can select one theme, follow your terminal's light or dark appearance, or create your own palette.
Themes are JSON files that define colors for the TUI.
<a id="selecting-a-theme"></a>
## Table of Contents
## Choose a theme
- [Locations](#locations)
- [Selecting a Theme](#selecting-a-theme)
- [Creating a Custom Theme](#creating-a-custom-theme)
- [Theme Format](#theme-format)
- [Color Tokens](#color-tokens)
- [Color Values](#color-values)
- [Tips](#tips)
Open `/settings` and select **Theme**. You can use one theme for every terminal appearance or choose separate themes for light and dark terminals.
## Locations
Pi loads themes from:
- Built-in: `dark`, `light`
- Global: `~/.pi/agent/themes/*.json`
- Project: `.pi/themes/*.json` (only after the project is trusted)
- Packages: `themes/` directories or `pi.themes` entries in `package.json`
- Settings: `themes` array with files or directories
- CLI: `--theme <path>` (repeatable)
Disable discovery with `--no-themes`.
## Selecting a Theme
Select a theme via `/settings` or in `settings.json`:
The selection is saved as the `theme` [setting](settings.md#terminal-and-display):
```json
{
"theme": "my-theme"
"theme": "dark"
}
```
On first run, pi detects your terminal background and defaults to `dark` or `light`.
Automatic mode stores the light theme first and the dark theme second:
### Initial Theme
```json
{
"theme": "light/dark"
}
```
Start an interactive run with a theme without changing the saved setting:
When automatic mode is active, Pi changes themes when the terminal reports an appearance change. Theme names cannot contain `/` because Pi reserves it for this setting format.
Use `--use-theme` to choose the initial theme for one invocation without changing the saved setting:
```bash
pi --use-theme light
```
To follow terminal appearance, use `lightTheme/darkTheme` syntax:
```bash
pi --use-theme light/dark
```
The CLI value is the initial theme for that run. Choosing another theme later in `/settings` applies it immediately
and saves it normally.
See [CLI resources](cli.md#resources) for the command-line option.
## Creating a Custom Theme
## Create a custom theme
1. Create a theme file:
Copy one of the [built-in themes](https://github.com/earendil-works/pi/tree/main/packages/coding-agent/src/modes/interactive/theme) or create a new JSON file conforming to the [schema](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/modes/interactive/theme/theme-schema.json).
```bash
mkdir -p ~/.pi/agent/themes
vim ~/.pi/agent/themes/my-theme.json
```
1. Save the file as `<agent-dir>/themes/my-theme.json`. The agent directory defaults to `~/.pi/agent`.
2. Set its `name` to `my-theme`.
3. Change values in `vars` and `colors`.
4. Select `my-theme` through `/settings`.
2. Define the theme with all required colors (see [Color Tokens](#color-tokens)):
Use the theme name as the filename. Pi hot-reloads the active user theme only from `<agent-dir>/themes/<name>.json`. Run `/reload` after adding or changing a theme from any other source.
```json
{
"$schema": "https://raw.githubusercontent.com/earendil-works/pi/main/packages/coding-agent/src/modes/interactive/theme/theme-schema.json",
"name": "my-theme",
"vars": {
"primary": "#00aaff",
"secondary": 242
},
"colors": {
"accent": "primary",
"border": "primary",
"borderAccent": "#00ffff",
"borderMuted": "secondary",
"success": "#00ff00",
"error": "#ff0000",
"warning": "#ffff00",
"muted": "secondary",
"dim": 240,
"text": "",
"thinkingText": "secondary",
"selectedBg": "#2d2d30",
"scrollbarTrack": "secondary",
"scrollbarThumb": "",
"searchMatchBg": "#2d2d30",
"searchMatchText": "",
"userMessageBg": "#2d2d30",
"userMessageText": "",
"customMessageBg": "#2d2d30",
"customMessageText": "",
"customMessageLabel": "primary",
"toolPendingBg": "#1e1e2e",
"toolSuccessBg": "#1e2e1e",
"toolErrorBg": "#2e1e1e",
"toolTitle": "primary",
"toolOutput": "",
"mdHeading": "#ffaa00",
"mdLink": "primary",
"mdLinkUrl": "secondary",
"mdCode": "#00ffff",
"mdCodeBlock": "",
"mdCodeBlockBorder": "secondary",
"mdQuote": "secondary",
"mdQuoteBorder": "secondary",
"mdHr": "secondary",
"mdListBullet": "#00ffff",
"toolDiffAdded": "#00ff00",
"toolDiffRemoved": "#ff0000",
"toolDiffContext": "secondary",
"syntaxComment": "secondary",
"syntaxKeyword": "primary",
"syntaxFunction": "#00aaff",
"syntaxVariable": "#ffaa00",
"syntaxString": "#00ff00",
"syntaxNumber": "#ff00ff",
"syntaxType": "#00aaff",
"syntaxOperator": "primary",
"syntaxPunctuation": "secondary",
"thinkingOff": "secondary",
"thinkingMinimal": "primary",
"thinkingLow": "#00aaff",
"thinkingMedium": "#00ffff",
"thinkingHigh": "#ff00ff",
"thinkingXhigh": "#ff0000",
"thinkingMax": "#ff0088",
"bashMode": "#ffaa00"
}
}
```
## Understand the theme file
3. Select the theme via `/settings`.
| Property | Required | Responsibility |
|---|---|---|
| `$schema` | No | Enables editor validation and completion against Pi's published schema. |
| `name` | Yes | Identifies the theme in selectors and settings. It must be unique and cannot contain `/`. |
| `vars` | No | Defines reusable color values. Variables can reference other variables. |
| `colors` | Yes | Assigns colors to terminal UI roles. The schema identifies required and optional roles. |
| `export` | No | Overrides page and panel backgrounds in HTML exports. |
**Hot reload:** When you edit the currently active custom theme file, pi reloads it automatically for immediate visual feedback.
A color can be written in four forms:
## Theme Format
| Form | Example | Meaning |
|---|---|---|
| RGB hexadecimal | `"#00aaff"` | A six-digit RGB color. |
| 256-color index | `39` | An ANSI palette index from `0` through `255`. |
| Variable reference | `"primary"` | The value of an entry in `vars`. |
| Terminal default | `""` | The terminal's default foreground or background color. |
```json
{
"$schema": "https://raw.githubusercontent.com/earendil-works/pi/main/packages/coding-agent/src/modes/interactive/theme/theme-schema.json",
"name": "my-theme",
"vars": {
"blue": "#0066cc",
"gray": 242
},
"colors": {
"accent": "blue",
"muted": "gray",
"text": "",
...
}
}
```
Pi resolves chained variable references. A missing variable or circular reference makes the theme invalid. Hexadecimal colors use truecolor when supported and are approximated in terminals limited to 256 colors. If colors differ from their hexadecimal values, check your terminal's truecolor detection and contrast settings. See [Configure Your Terminal](terminal-setup.md#override-detected-capabilities).
- `name` is required, must be unique, and must not contain `/`.
- `vars` is optional. Define reusable colors here, then reference them in `colors`.
- `colors` must define all 53 required tokens. `thinkingMax` and the two search highlight tokens are optional and use the fallbacks listed below.
Use the [theme JSON schema](https://github.com/earendil-works/pi/blob/main/packages/coding-agent/src/modes/interactive/theme/theme-schema.json) for the exact properties, required colors, and accepted value types.
The `$schema` field enables editor auto-completion and validation.
Pi reports invalid theme files during startup and `/reload`.
## Color Tokens
## Find the color to change
Every theme must define all 53 required color tokens. The optional tokens preserve compatibility with existing themes: `thinkingMax` falls back to `thinkingXhigh`, `searchMatchBg` falls back to `selectedBg`, and `searchMatchText` falls back to `text`. Other search matches use `searchMatchText` on `searchMatchBg` with an underline; the current match reverses that foreground/background pair and uses bold text.
Theme colors describe interface roles rather than individual components. Use these groups to find the relevant part of the schema:
### Core UI (13 colors)
| Area | Color names |
|---|---|
| General interface | `accent`, `border*`, `text`, `muted`, `dim`, `success`, `error`, `warning` |
| Selection and fullscreen | `selectedBg`, `searchMatch*`, `scrollbar*` |
| Messages | `userMessage*`, `customMessage*`, `thinkingText` |
| Tool execution | `toolPendingBg`, `toolSuccessBg`, `toolErrorBg`, `toolTitle`, `toolOutput` |
| Markdown | `md*` |
| Tool diffs | `toolDiff*` |
| Syntax highlighting | `syntax*` |
| Editor modes | `thinking*`, `bashMode` |
| HTML export | `export.pageBg`, `export.cardBg`, `export.infoBg` |
| Token | Purpose |
|-------|---------|
| `accent` | Primary accent (logo, selected items, cursor) |
| `border` | Normal borders |
| `borderAccent` | Highlighted borders |
| `borderMuted` | Subtle borders (editor) |
| `success` | Success states |
| `error` | Error states |
| `warning` | Warning states |
| `muted` | Secondary text |
| `dim` | Tertiary text |
| `text` | Default text (usually `""`) |
| `thinkingText` | Thinking block text |
| `scrollbarTrack` | Fullscreen scrollbar track foreground |
| `scrollbarThumb` | Fullscreen scrollbar thumb foreground, shared by normal and expanded states |
The schema is the format reference. The built-in themes provide complete values that you can copy and adjust.
### Backgrounds & Content (11 required, 2 optional)
Five colors are optional and inherit another color when omitted:
| Token | Purpose |
|-------|---------|
| `selectedBg` | Selected line background |
| `searchMatchBg` | Transcript search match background and current-match text; optional, falls back to `selectedBg` |
| `searchMatchText` | Transcript search match text and current-match background; optional, falls back to `text` |
| `userMessageBg` | User message background |
| `userMessageText` | User message text |
| `customMessageBg` | Extension message background |
| `customMessageText` | Extension message text |
| `customMessageLabel` | Extension message label |
| `toolPendingBg` | Tool box (pending) |
| `toolSuccessBg` | Tool box (success) |
| `toolErrorBg` | Tool box (error) |
| `toolTitle` | Tool title |
| `toolOutput` | Tool output text |
| Optional color | Fallback |
|---|---|
| `scrollbarTrack` | `muted` |
| `scrollbarThumb` | `text` |
| `searchMatchBg` | `selectedBg` |
| `searchMatchText` | `text` |
| `thinkingMax` | `thinkingXhigh` |
### Markdown (10 colors)
If `export` colors are omitted, Pi derives HTML page and panel backgrounds from `userMessageBg`.
| Token | Purpose |
|-------|---------|
| `mdHeading` | Headings |
| `mdLink` | Link text |
| `mdLinkUrl` | Link URL |
| `mdCode` | Inline code |
| `mdCodeBlock` | Code block content |
| `mdCodeBlockBorder` | Code block fences |
| `mdQuote` | Blockquote text |
| `mdQuoteBorder` | Blockquote border |
| `mdHr` | Horizontal rule |
| `mdListBullet` | List bullets |
## Load a theme from a project or package
### Tool Diffs (3 colors)
Place a project theme in `.pi/themes/`. Project themes load only after [project trust](security.md#understand-project-trust) is granted.
| Token | Purpose |
|-------|---------|
| `toolDiffAdded` | Added lines |
| `toolDiffRemoved` | Removed lines |
| `toolDiffContext` | Context lines |
You can also load theme files and directories through the `themes` setting or distribute them in a Pi package. See [Configuration](configuration.md), [Settings](settings.md#resources), and [Pi Packages](packages.md).
### Syntax Highlighting (9 colors)
| Token | Purpose |
|-------|---------|
| `syntaxComment` | Comments |
| `syntaxKeyword` | Keywords |
| `syntaxFunction` | Function names |
| `syntaxVariable` | Variables |
| `syntaxString` | Strings |
| `syntaxNumber` | Numbers |
| `syntaxType` | Types |
| `syntaxOperator` | Operators |
| `syntaxPunctuation` | Punctuation |
### Thinking Level Borders (6 required, 1 optional)
Editor border colors indicating thinking level (visual hierarchy from subtle to prominent):
| Token | Purpose |
|-------|---------|
| `thinkingOff` | Thinking off |
| `thinkingMinimal` | Minimal thinking |
| `thinkingLow` | Low thinking |
| `thinkingMedium` | Medium thinking |
| `thinkingHigh` | High thinking |
| `thinkingXhigh` | Extra high thinking |
| `thinkingMax` | Maximum thinking; optional, falls back to `thinkingXhigh` |
### Bash Mode (1 color)
| Token | Purpose |
|-------|---------|
| `bashMode` | Editor border in bash mode (`!` prefix) |
### HTML Export (optional)
The `export` section controls colors for `/export` HTML output. If omitted, colors are derived from `userMessageBg`.
```json
{
"export": {
"pageBg": "#18181e",
"cardBg": "#1e1e24",
"infoBg": "#3c3728"
}
}
```
## Color Values
Four formats are supported:
| Format | Example | Description |
|--------|---------|-------------|
| Hex | `"#ff0000"` | 6-digit hex RGB |
| 256-color | `39` | xterm 256-color palette index (0-255) |
| Variable | `"primary"` | Reference to a `vars` entry |
| Default | `""` | Terminal's default color |
### 256-Color Palette
- `0-15`: Basic ANSI colors (terminal-dependent)
- `16-231`: 6×6×6 RGB cube (`16 + 36×R + 6×G + B` where R,G,B are 0-5)
- `232-255`: Grayscale ramp
### Terminal Compatibility
Pi uses 24-bit RGB colors. Most modern terminals support this (iTerm2, Kitty, WezTerm, Windows Terminal, VS Code). For older terminals with only 256-color support, pi falls back to the nearest approximation.
Check truecolor support:
```bash
echo $COLORTERM # Should output "truecolor" or "24bit"
```
## Tips
**Dark terminals:** Use bright, saturated colors with higher contrast.
**Light terminals:** Use darker, muted colors with lower contrast.
**Color harmony:** Start with a base palette (Nord, Gruvbox, Tokyo Night), define it in `vars`, and reference consistently.
**Testing:** Check your theme with different message types, tool states, markdown content, and long wrapped text.
**VS Code:** Set `terminal.integrated.minimumContrastRatio` to `1` for accurate colors.
## Examples
See the built-in themes:
- [dark.json](../src/modes/interactive/theme/dark.json)
- [light.json](../src/modes/interactive/theme/light.json)
Each loaded theme must have a unique name. Pi reports duplicate names as resource collisions.
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# tmux Setup
# Run Pi in tmux
Pi works inside tmux, but tmux strips modifier information from certain keys by default. Without configuration, `Shift+Enter` and `Ctrl+Enter` are usually indistinguishable from plain `Enter`.
Pi works inside tmux, but tmux can report `Shift+Enter`, `Ctrl+Enter`, and plain `Enter` as the same key. Enable extended keys so Pi can distinguish them.
## Recommended Configuration
## Check your tmux version
Add to `~/.tmux.conf`:
```bash
tmux -V
```
For tmux 3.5 or newer, use the recommended CSI-u configuration below. For tmux 3.2 through 3.4, use the older-version configuration.
## Enable extended keys in tmux 3.5 or newer
Add these lines to `~/.tmux.conf`:
```tmux
set -g extended-keys on
set -g extended-keys-format csi-u
```
Then restart tmux fully:
Pi requests extended-key reporting when the terminal does not provide the Kitty keyboard protocol directly. CSI-u is the most reliable format for forwarding modified keys through tmux.
## Restart tmux
The configuration applies to the tmux server. To guarantee that it is active, close your tmux sessions and start a new server.
If you choose to stop the server from the command line, save your work first. This command terminates every session managed by that server:
```bash
tmux kill-server
tmux
```
Pi requests extended key reporting automatically when Kitty keyboard protocol is not available. With `extended-keys-format csi-u`, tmux forwards modified keys in CSI-u format, which is the most reliable configuration. The `extended-keys-format` option requires tmux 3.5 or later.
## Verify modified keys
## Why `csi-u` Is Recommended
Start Pi inside the new tmux session and check that:
With only:
1. `Shift+Enter` inserts a new line in the editor.
2. `Enter` submits the prompt.
3. `Alt+Enter` queues a follow-up on macOS and Linux. Windows and WSL use `Ctrl+Q` by default.
If these keys still behave like plain `Enter`, verify that the terminal outside tmux can report modified keys. See [Configure your terminal](terminal-setup.md).
## Use tmux 3.2 through 3.4
These versions support extended keys but not `extended-keys-format csi-u`. Add only:
```tmux
set -g extended-keys on
```
tmux defaults to `extended-keys-format xterm`. When an application requests extended key reporting, modified keys are forwarded in xterm `modifyOtherKeys` format such as:
Pi supports the xterm `modifyOtherKeys` format used by these versions. Restart tmux and repeat the verification steps.
- `Ctrl+C` → `\x1b[27;5;99~`
- `Ctrl+D` → `\x1b[27;5;100~`
- `Ctrl+Enter` → `\x1b[27;5;13~`
With `extended-keys-format csi-u`, the same keys are forwarded as:
- `Ctrl+C` → `\x1b[99;5u`
- `Ctrl+D` → `\x1b[100;5u`
- `Ctrl+Enter` → `\x1b[13;5u`
Pi supports both formats, but `csi-u` is the recommended tmux setup.
## What This Fixes
Without tmux extended keys, modified Enter keys collapse to legacy sequences:
| Key | Without extkeys | With `csi-u` |
|-----|-----------------|--------------|
| Enter | `\r` | `\r` |
| Shift+Enter | `\r` | `\x1b[13;2u` |
| Ctrl+Enter | `\r` | `\x1b[13;5u` |
| Alt/Option+Enter | `\x1b\r` | `\x1b[13;3u` |
This affects the default keybindings (`Enter` to submit, `Shift+Enter` for newline) and any custom keybindings using modified Enter.
## Requirements
- tmux 3.5 or later for `extended-keys-format csi-u` (run `tmux -V` to check)
- A terminal emulator that supports extended keys (Ghostty, Kitty, iTerm2, WezTerm, Windows Terminal)
With tmux 3.2 through 3.4, omit `extended-keys-format csi-u`; Pi still supports tmux's default xterm `modifyOtherKeys` format.
For older versions, upgrade tmux or use Pi outside tmux rather than relying on modified Enter shortcuts.
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# Using Pi
# Use Pi in the terminal
This page collects day-to-day usage details that do not fit on the quickstart page.
Run `pi` from the folder you want to work in. Pi uses that folder to discover files, instructions, and configuration, and to group saved sessions. If you have not installed Pi or chosen a model yet, follow the [Quickstart](quickstart.md).
## Interactive Mode
Pi may ask whether you trust the working folder before loading its project resources. See [Project trust](security.md#understand-project-trust).
<p align="center"><img src="images/interactive-mode.png" alt="Interactive Mode" width="600"></p>
<p align="center"><img src="images/interactive-mode.png" alt="Pi interactive mode showing a conversation, editor, and status information" width="750"></p>
The interface has four main areas:
The transcript shows your prompts, Pi's responses, tool calls, results, and errors. You write prompts and commands in the editor. The footer shows the current folder, session, model, context usage, and accumulated usage and cost.
- **Startup header** - shortcuts, loaded context files, prompt templates, skills, and extensions
- **Messages** - user messages, assistant responses, tool calls, tool results, notifications, errors, and extension UI
- **Editor** - where you type; border color indicates the current thinking level
- **Footer** - working directory, session name, token/cache usage, cost, context usage, and current model. Totals include assistant responses, usage reported by tools, and summary generation.
## Enter a prompt
The editor can be replaced temporarily by built-in UI such as `/settings` or by custom extension UI.
Type a request and press `Enter` to send it. Use `Shift+Enter` to add a line, or press `Ctrl+G` to work on a longer prompt in your configured external editor.
### Editor Features
To include files or images:
| Feature | How |
|---------|-----|
| File reference | Type `@` to fuzzy-search project files |
| Path completion | Press Tab to complete paths |
| Multi-line input | Shift+Enter, or Ctrl+Enter on Windows Terminal |
| Copy response | Ctrl+X copies the selected message in `/tree`; otherwise it copies the last assistant message, or the active fullscreen text selection when `fullscreenCopyOnSelect` is disabled |
| Images | Paste with Ctrl+V, Alt+V on Windows, or drag into the terminal |
| Shell command | `!command` runs and sends output to the model |
| Hidden shell command | `!!command` runs without sending output to the model |
| External editor | Ctrl+G opens `externalEditor`, `$VISUAL`, `$EDITOR`, Notepad on Windows, or `nano` elsewhere |
- Type `@` to search for a file and add it to your prompt.
- Press `Tab` to complete a path.
- Paste an image or drag it into a compatible terminal.
See [Keybindings](keybindings.md) for all shortcuts and customization.
## Follow Pi's work
## Slash Commands
Pi shows each tool call and result while it works. Press `Ctrl+O` to expand or collapse tool output. Press `Ctrl+T` to show or hide thinking blocks.
Type `/` in the editor to open command completion. Extensions can register custom commands, skills are available as `/skill:name`, and prompt templates expand via `/templatename`.
The startup header lists the instructions and resources Pi loaded. The editor border indicates the current thinking level. The footer updates as the model uses context and reports usage.
| Command | Description |
|---------|-------------|
| `/login`, `/logout` | Manage OAuth or API-key credentials |
| [`/llama`](llama-cpp.md) | Download, load, and unload llama.cpp router models |
| `/model` | Switch models; Ctrl+S in the picker saves the startup default |
| `/thinking` | Switch thinking level; Ctrl+S in the picker saves the startup default |
| `/scoped-models` | Enable/disable models for Ctrl+P cycling |
| `/settings` | Theme, message delivery, transport, and other preferences |
| `/resume` | Pick from previous sessions |
| `/new` | Start a new session |
| `/name <name>` | Set session display name |
| `/session` | Show session file, ID, messages, tokens, and cost |
| `/tree` | Jump to any point in the session and continue from there |
| `/trust` | Save project trust decision for future sessions |
| `/fork` | Create a new session from a previous user message |
| `/clone` | Duplicate the current active branch into a new session |
| `/compact [prompt]` | Manually compact context, optionally with custom instructions |
| `/copy` | Copy last assistant message to clipboard |
| `/export [file]` | Export session to HTML or JSONL |
| `/import <file>` | Import and resume a session from a JSONL file |
| `/share` | Upload as private GitHub gist with shareable HTML link |
| `/bug [description]` | Report a bug to the Pi developers; see [Sessions](sessions.md#reporting-bugs) |
| `/reload` | Reload keybindings, extensions, skills, prompts, themes, and context files |
| `/hotkeys` | Show all keyboard shortcuts |
| `/changelog` | Display version history |
| `/quit` | Quit pi |
Pi does not ask before every tool call. Review commands and changed files, and use a sandbox for untrusted or unattended work. See [Security](security.md).
## Message Queue
## Change direction
You can submit messages while the agent is still working:
You can send more input while Pi is working:
- **Enter** queues a steering message, delivered after the current assistant turn finishes executing its tool calls.
- **Alt+Enter** queues a follow-up message, delivered after the agent finishes all work.
- **Escape** aborts and restores queued messages to the editor.
- **Alt+Up** retrieves queued messages back to the editor.
| What you want | Action |
|---|---|
| Adjust the current task | Type a message and press `Enter` |
| Add work after the current task | Type a message and press `Alt+Enter` |
| Return queued messages to the editor | Press `Alt+Up` |
| Stop the current task | Press `Escape` |
On Windows Terminal, Alt+Enter is fullscreen by default. Remap it as described in [Terminal setup](terminal-setup.md) if you want pi to receive the shortcut.
A message sent with `Enter` waits until the current response and its tool calls finish, then guides the next response. A follow-up sent with `Alt+Enter` waits until Pi finishes the current task. Aborting returns queued messages to the editor.
Configure delivery in [Settings](settings.md) with `steeringMode` and `followUpMode`.
Windows Terminal reserves some Alt shortcuts. See [Terminal Setup](terminal-setup.md) for the Windows alternatives.
## Sessions
## Change the model or settings
Sessions are saved automatically to `~/.pi/agent/sessions/`, organized by working directory.
Type `/` to search the available commands. The commands you will use most often are:
```bash
pi -c # Continue most recent session
pi -r # Browse and select a session
pi --no-session # Ephemeral mode; do not save
pi --name "my task" # Set session display name at startup
pi --session <path|id> # Use a specific session file or session ID
pi --fork <path|id> # Fork a session into a new session file
- `/model` selects a model. Press `Ctrl+L` to open the same selector.
- `/thinking` selects how much reasoning the current model uses. Press `Shift+Tab` to cycle through supported levels.
- `/login` and `/logout` manage provider access.
- `/settings` changes common preferences.
Prompt templates, skills, and extensions can add more commands to the same menu. See [Choose a Model](models.md), [Configuration](configuration.md), or the complete [Slash Commands reference](slash-commands.md).
## Continue or start over
Pi saves sessions automatically unless session persistence is disabled.
- `/new` starts a new session.
- `/resume` opens another saved session.
- `/name` gives the current session a recognizable name.
- `/session` shows its file, ID, message count, token usage, and cost.
Use `/tree`, `/fork`, or `/clone` when you want to explore another approach without losing existing work. Use `/compact` to reduce the conversation history sent to the model. See [Sessions and Context](sessions.md) for these workflows.
After leaving Pi, run `pi --continue` from the same folder to resume its most recent session.
## Run a terminal command
Prefix a command with `!` to run it and include its output in the conversation:
```text
!git status
```
Useful session commands:
Use `!!` when you want to run a command without sending its output to the model.
- `/session` shows the current session file and ID.
- `/tree` navigates the in-file session tree and can summarize abandoned branches.
- `/fork` creates a new session from an earlier user message.
- `/clone` duplicates the current active branch into a new session file.
- `/compact` summarizes older messages to free context.
## Copy, export, or share results
See [Sessions](sessions.md) and [Compaction](compaction.md) for details.
Press `Ctrl+X` or run `/copy` to copy the last assistant response. Use `/export` to save the session as HTML or JSONL.
## Context Files
Use `/share` to upload the session and get a viewer link. With Radius authentication, the artifact is visible to your Radius organization. Otherwise, Pi creates a private GitHub gist through the GitHub CLI. Review the session first because it can contain prompts, tool output, file contents, and credentials exposed during the conversation.
Pi loads `AGENTS.md` or `CLAUDE.md` at startup from:
## Adjust the terminal
- `~/.pi/agent/AGENTS.md` for global instructions
- parent directories, walking up from the current working directory
- the current directory
Regular mode uses the terminal's normal scrollback. Fullscreen mode keeps the editor and status area fixed while the transcript scrolls within the terminal window. Choose a mode through `/settings` or `--tui-mode`.
If a directory contains `AGENTS.override.md`, Pi loads it instead of `AGENTS.md` or `CLAUDE.md` from that directory. Context files from other directories still layer normally.
Terminal support for mouse input, keyboard shortcuts, and inline images varies. See [Terminal Setup](terminal-setup.md) for platform-specific configuration and [Keybindings](keybindings.md) for every configurable shortcut. Run `/hotkeys` to inspect the shortcuts active in your current session.
Use context files for project conventions, commands, safety rules, and preferences. Disable loading with `--no-context-files` or `-nc`.
## Collect diagnostic information
### System Prompt Files
When troubleshooting terminal rendering or conversation state, run `/debug`. Pi writes the rendered terminal lines and current session messages to `pi-debug.log` in your [agent directory](configuration.md#agent-directory).
Replace the default system prompt with:
- `.pi/SYSTEM.md` for a project
- `~/.pi/agent/SYSTEM.md` globally
Append to the default prompt without replacing it with `APPEND_SYSTEM.md` in either location.
### Project Trust
On interactive startup, pi asks before trusting a project folder that contains project-local settings, resources, or project `.agents/skills` and has no saved decision for the folder or a parent folder in `~/.pi/agent/trust.json`. Trusting a project allows pi to load `.pi/settings.json` and `.pi` resources, install missing project packages, and execute project extensions.
Before the trust decision, pi loads only context files, user/global extensions, and CLI `-e` extensions so they can handle the `project_trust` event. Project-local extensions, project package-managed extensions, and project settings are loaded only after the project is trusted. This split also applies when switching to a session from a different cwd whose trust has not been resolved in the current process.
Non-interactive modes (`-p`, `--mode json`, and `--mode rpc`) do not show a trust prompt. Without an applicable saved trust decision, they use `defaultProjectTrust` from global settings: `ask` (default) and `never` ignore those project resources, while `always` trusts them. Pass `--approve`/`-a` or `--no-approve`/`-na` to override project trust for one run.
If no extension or saved decision applies, `defaultProjectTrust` controls the fallback behavior. Set it to `"ask"`, `"always"`, or `"never"` in `~/.pi/agent/settings.json`, or change it with `/settings`.
`pi config` and package commands use the same project trust flow, except `pi update` never prompts. Pass `--approve` to trust project-local settings for one command or `--no-approve` to ignore them.
Use `/trust` in interactive mode to save a project trust decision for future sessions, including trust for the immediate parent folder. It writes `~/.pi/agent/trust.json` only; the current session is not reloaded, so restart pi for changes to take effect.
## Exporting and Sharing Sessions
Use `/export [file]` to write a session to HTML.
Use `/share` to upload a private GitHub gist with a shareable HTML link.
If you use pi for open source work and want to publish sessions for model, prompt, tool, and evaluation research, see [`badlogic/pi-share-hf`](https://github.com/badlogic/pi-share-hf). It publishes sessions to Hugging Face datasets.
## CLI Reference
```bash
pi [options] [--] [@files...] [messages...]
```
### Package Commands
```bash
pi install <source> [-l] # Install package, -l for project-local
pi remove <source> [-l] # Remove package
pi uninstall <source> [-l] # Alias for remove
pi update [source|self|pi] # Update pi only, or one package source
pi update --all # Update pi and packages; reconcile pinned git refs
pi update --extensions # Update packages only; reconcile pinned git refs
pi update --models # Refresh model catalogs only
pi update --self # Update pi only
pi update --extension <src> # Update one package
pi list # List installed packages
pi config # Enable/disable package resources
```
These commands manage pi packages and `pi update` can update the pi CLI installation. To uninstall pi itself, see [Quickstart](quickstart.md#uninstall). `pi config` and project package commands accept `--approve`/`--no-approve` to trust or ignore project-local settings for one command. `pi update` never prompts for project trust.
See [Pi Packages](packages.md) for package sources and security notes.
### Modes
| Flag | Description |
|------|-------------|
| default | Interactive mode |
| `-p`, `--print` | Print response and exit |
| `--mode json` | Output all events as JSON lines; see [JSON mode](json.md) |
| `--mode rpc` | RPC mode over stdin/stdout; see [RPC mode](rpc.md) |
| `--export <in> [out]` | Export a session to HTML |
In print mode, pi also reads piped stdin and merges it into the initial prompt:
```bash
cat README.md | pi -p "Summarize this text"
```
### Model Options
| Option | Description |
|--------|-------------|
| `--provider <name>` | Provider, such as `anthropic`, `openai`, or `google` |
| `--model <pattern>` | Model pattern or ID; supports `provider/id` and optional `:<thinking>` |
| `--api-key <key>` | API key, overriding environment variables |
| `--thinking <level>` | `off`, `minimal`, `low`, `medium`, `high`, `xhigh`, `max` |
| `--models <patterns>` | Comma-separated patterns for Ctrl+P cycling |
| `--list-models [search]` | List available models |
### Session Options
| Option | Description |
|--------|-------------|
| `-c`, `--continue` | Continue the most recent session |
| `-r`, `--resume` | Browse and select a session |
| `--session <path\|id>` | Use a specific session file or partial UUID |
| `--fork <path\|id>` | Fork a session file or partial UUID into a new session |
| `--session-dir <dir>` | Custom session storage directory |
| `--no-session` | Ephemeral mode; do not save |
| `--name <name>`, `-n <name>` | Set session display name at startup |
### Tool Options
| Option | Description |
|--------|-------------|
| `--tools <list>`, `-t <list>` | Allowlist specific built-in, extension, and custom tools |
| `--exclude-tools <list>`, `-xt <list>` | Disable specific built-in, extension, and custom tools |
| `--no-builtin-tools`, `-nbt` | Disable built-in tools but keep extension/custom tools enabled |
| `--no-tools`, `-nt` | Disable all tools |
Built-in tools: `read`, `bash`, `powershell` (Windows), `edit`, `write`, `grep`, `find`, `ls`.
### Resource Options
| Option | Description |
|--------|-------------|
| `-e`, `--extension <source>` | Load an extension from path, npm, or git; repeatable |
| `--no-extensions` | Disable extension discovery |
| `--skill <path>` | Load a skill; repeatable |
| `--no-skills` | Disable skill discovery |
| `--prompt-template <path>` | Load a prompt template; repeatable |
| `--no-prompt-templates` | Disable prompt template discovery |
| `--theme <path>` | Load a theme; repeatable |
| `--no-themes` | Disable theme discovery |
| `--no-context-files`, `-nc` | Disable `AGENTS.md` and `CLAUDE.md` discovery |
Combine `--no-*` with explicit flags to load exactly what you need, ignoring settings. Example:
```bash
pi --no-extensions -e ./my-extension.ts
```
### Other Options
| Option | Description |
|--------|-------------|
| `--system-prompt <text>` | Replace default prompt; context files and skills are still appended |
| `--append-system-prompt <text>` | Append to system prompt |
| `--tui-mode <mode>` | TUI mode: `regular` (default) or experimental `fullscreen` |
| `--use-theme <name[/name]>` | Set the initial interactive theme for this run without changing settings |
| `--verbose` | Force verbose startup |
| `-a`, `--approve` | Trust project-local files for this run |
| `-na`, `--no-approve` | Ignore project-local files for this run |
| `--` | Stop option parsing; remaining arguments are prompts or `@file` inputs |
| `-h`, `--help` | Show help |
| `-v`, `--version` | Show version |
In `fullscreen` mode, the transcript scrolls inside the terminal viewport while queued messages, working status, extension widgets, editor, and footer remain fixed at the bottom. Mouse/trackpad input scrolls the region under the pointer; keyboard viewport actions always remain available. Inline images work in terminals that support the Kitty graphics protocol, including Kitty and Ghostty. In iTerm2 they render as text placeholders because its inline-image protocol cannot delete or crop placements during application-owned scrolling. In `regular` mode, pi uses the main screen and terminal-owned scrollback, and iTerm2 inline images continue to render normally. See [Terminal setup](terminal-setup.md) for terminal-specific settings and workarounds.
Set **TUI mode** in `/settings` to switch between `regular` and `fullscreen` immediately and choose the default for future sessions. **Fullscreen exit output** controls whether exiting fullscreen prints the final transcript or restores the previous screen and prints only the session resume hint.
### File Arguments
Prefix files with `@` to include them in the message:
```bash
pi @prompt.md "Answer this"
pi -p @screenshot.png "What's in this image?"
pi @code.ts @test.ts "Review these files"
```
### Examples
```bash
# Interactive with initial prompt
pi "List all .ts files in src/"
# Non-interactive
pi -p "Summarize this codebase"
# Prompt beginning with a dash
pi -p -- "- Summarize these points"
# Non-interactive with piped stdin
cat README.md | pi -p "Summarize this text"
# Named one-shot session
pi --name "release audit" -p "Audit this repository"
# Different model
pi --provider openai --model gpt-4o "Help me refactor"
# Model with provider prefix
pi --model openai/gpt-4o "Help me refactor"
# Model with thinking level shorthand
pi --model sonnet:high "Solve this complex problem"
# Limit model cycling
pi --models "claude-*,gpt-4o"
# Read-only mode
pi --tools read,grep,find,ls -p "Review the code"
# Disable one extension or built-in tool while keeping the rest available
pi --exclude-tools ask_question
```
## Design Principles
Pi keeps the core small and pushes workflow-specific behavior into extensions, skills, prompt templates, and packages.
It intentionally does not include built-in MCP, sub-agents, permission popups, plan mode, to-dos, or background bash. You can build or install those workflows as extensions or packages, or use external tools such as containers and tmux.
For the full rationale, read the [blog post](https://mariozechner.at/posts/2025-11-30-pi-coding-agent/).
Review this file before sharing it. It can contain prompts, model responses, tool output, file contents, and terminal data.
packages/coding-agent/docs/windows.md
+43 -17
View File
@@ -1,18 +1,40 @@
# Windows Setup
# Run Pi on Windows
Pi uses Git Bash by default on Windows. Checked locations (in order):
Run Pi either as a native Windows process or inside Windows Subsystem for Linux (WSL). Native Windows uses Git Bash by default for Bash commands and can optionally expose PowerShell to the model. Pi inside WSL uses the Linux environment and its Bash installation.
1. Custom path from `~/.pi/agent/settings.json`
2. Git Bash (`C:\Program Files\Git\bin\bash.exe`)
3. `bash.exe` on PATH (Cygwin, MSYS2, WSL)
Follow the main [Quickstart](quickstart.md) to install and authenticate Pi. Use this page to choose and configure its command environment.
For most users, [Git for Windows](https://git-scm.com/download/win) is sufficient.
## Choose native Windows or WSL
## PowerShell Tool
| Environment | Command environment | Use it when |
|---|---|---|
| Native Windows with Git Bash | Git Bash for the built-in `bash` tool and `!` commands | Your files and development tools primarily live on Windows |
| Native Windows with the `powershell` tool | PowerShell for model tool calls; Bash remains available for `!` commands | The task depends on PowerShell modules or Windows-native commands |
| WSL | Linux Bash and tools inside the selected WSL distribution | Your files and toolchain already live in Linux or WSL |
The optional `powershell` tool runs commands through `pwsh.exe` when available, otherwise Windows PowerShell. It starts PowerShell with `-NoProfile -NonInteractive -ExecutionPolicy Bypass`. Administrator-enforced execution policies can still take precedence.
## Use Git Bash on native Windows
Use `defaultTools` to replace the model-facing `bash` tool:
For most native Windows users, installing [Git for Windows](https://git-scm.com/download/win) is sufficient.
Pi resolves Bash in this order:
1. `shellPath` from `~/.pi/agent/settings.json`
2. Git Bash under `Program Files` or `Program Files (x86)`
3. `bash.exe` on `PATH`, including Cygwin, MSYS2, or legacy WSL Bash
Start Pi and enter this command to verify the shell:
```text
!printf 'Bash is working\n'
```
If Pi cannot find Bash, it reports the locations it checked. Install Git for Windows, put another Bash executable on `PATH`, or configure `shellPath`.
## Let the model use PowerShell
The optional `powershell` tool runs commands through `pwsh.exe` when available, then falls back to Windows PowerShell. It starts PowerShell with `-NoProfile -NonInteractive -ExecutionPolicy Bypass`. Administrator-enforced execution policies can still take precedence.
To replace the model-facing `bash` tool with `powershell`, add this to `~/.pi/agent/settings.json`:
```json
{
@@ -20,20 +42,24 @@ Use `defaultTools` to replace the model-facing `bash` tool:
}
```
Or enable both while comparing behavior:
Restart Pi, then ask it to run a harmless PowerShell command. The `!` and `!!` editor commands continue to use Bash. The `powershell` tool is available only when Pi runs as a native Windows process.
```json
{
"defaultTools": ["read", "bash", "powershell", "edit", "write"]
}
```
See [Settings](settings.md#tools) for other tool combinations.
The `!` and `!!` editor commands still use Bash.
## Use a custom Bash executable
## Custom Bash Path
Set `shellPath` when Bash is installed somewhere Pi does not discover automatically:
```json
{
"shellPath": "C:\\cygwin64\\bin\\bash.exe"
}
```
JSON uses backslashes for escape sequences. When you write a Windows path with backslashes, write each backslash twice, as shown above.
See [Configure shell commands](shell-aliases.md) for command prefixes, aliases, and the complete shell-resolution behavior.
## Configure Windows Terminal
Windows Terminal reserves or rewrites some modified keys. See [Windows Terminal](terminal-setup.md#windows-terminal) to configure `Shift+Enter` and `Alt+Enter`, and [Keybindings](keybindings.md) for Pi's Windows and WSL shortcut defaults.
packages/coding-agent/examples/README.md
+13 -2
View File
@@ -1,6 +1,16 @@
# Examples
Example code for pi-coding-agent SDK and extensions.
Example code for the pi-coding-agent SDK, process integration, and extensions.
## CLI integration
[`rpc-client.ts`](rpc-client.ts) uses the typed `RpcClient` to run Pi in a child process, stream events, and wait for the run to settle.
Build the coding-agent package before running it from a repository checkout:
```bash
npx tsx examples/rpc-client.ts "Explain this repository"
```
## Directories
@@ -23,6 +33,7 @@ An experimental plugin package that Pi automatically builds into separate Sessio
## Documentation
- [SDK Reference](sdk/README.md)
- [SDK Examples](sdk/README.md)
- [CLI Integration](../docs/cli-integration.md)
- [Extensions Documentation](../docs/extensions.md)
- [Skills Documentation](../docs/skills.md)
packages/coding-agent/examples/rpc-client.ts
+35
View File
@@ -0,0 +1,35 @@
/**
* Run one prompt through a Pi RPC child process.
*
* Build the coding-agent package first, then run:
* npx tsx examples/rpc-client.ts "Explain this repository"
*/
import { dirname, join } from "node:path";
import { fileURLToPath } from "node:url";
import { RpcClient } from "@earendil-works/pi-coding-agent";
const exampleDirectory = dirname(fileURLToPath(import.meta.url));
const prompt = process.argv.slice(2).join(" ") || "Explain this repository in one paragraph.";
const client = new RpcClient({
cliPath: join(exampleDirectory, "../dist/cli.js"),
args: ["--no-session"],
});
const unsubscribe = client.onEvent((event) => {
if (event.type === "message_update" && event.assistantMessageEvent.type === "text_delta") {
process.stdout.write(event.assistantMessageEvent.delta);
} else if (event.type === "tool_execution_start") {
process.stderr.write(`\n[tool: ${event.toolName}]\n`);
}
});
try {
await client.start();
await client.promptAndWait(prompt);
process.stdout.write("\n");
} finally {
unsubscribe();
await client.stop();
}
packages/coding-agent/examples/rpc-extension-ui.ts
+25 -5
View File
@@ -16,7 +16,7 @@
import { spawn } from "node:child_process";
import { dirname, join } from "node:path";
import * as readline from "node:readline";
import { StringDecoder } from "node:string_decoder";
import { fileURLToPath } from "node:url";
import {
type Component,
@@ -258,7 +258,7 @@ async function main() {
const agent = spawn(
"node",
[cliPath, "--mode", "rpc", "--no-session", "--no-extension", "--extension", extensionPath],
[cliPath, "--mode", "rpc", "--no-session", "--no-extensions", "--extension", extensionPath],
{ stdio: ["pipe", "pipe", "pipe"] },
);
@@ -518,9 +518,7 @@ async function main() {
// -- Process agent stdout --
const stdoutRl = readline.createInterface({ input: agent.stdout!, terminal: false });
stdoutRl.on("line", (line) => {
function handleAgentLine(line: string): void {
let data: Record<string, unknown>;
try {
data = JSON.parse(line);
@@ -583,6 +581,28 @@ async function main() {
tui.requestRender();
return;
}
}
const stdoutDecoder = new StringDecoder("utf8");
let stdoutBuffer = "";
agent.stdout!.on("data", (chunk: Buffer) => {
stdoutBuffer += stdoutDecoder.write(chunk);
while (true) {
const newlineIndex = stdoutBuffer.indexOf("\n");
if (newlineIndex === -1) break;
const line = stdoutBuffer.slice(0, newlineIndex);
stdoutBuffer = stdoutBuffer.slice(newlineIndex + 1);
handleAgentLine(line.endsWith("\r") ? line.slice(0, -1) : line);
}
});
agent.stdout!.on("end", () => {
stdoutBuffer += stdoutDecoder.end();
if (stdoutBuffer.length > 0) {
handleAgentLine(stdoutBuffer.endsWith("\r") ? stdoutBuffer.slice(0, -1) : stdoutBuffer);
}
});
// -- User input --
packages/coding-agent/examples/sdk/README.md
+1 -1
View File
@@ -15,7 +15,7 @@ The runtime example shows how to build a recreate function that closes over proc
| `05-tools.ts` | Built-in tool allowlists |
| `06-extensions.ts` | Logging, blocking, result modification |
| `07-context-files.ts` | AGENTS.md context files |
| `08-slash-commands.ts` | File-based slash commands |
| `08-prompt-templates.ts` | File-based prompt templates |
| `09-api-keys-and-oauth.ts` | API key resolution, OAuth config |
| `10-settings.ts` | Override compaction, retry, terminal settings |
| `11-sessions.ts` | In-memory, persistent, continue, list sessions |
packages/coding-agent/src/experimental/services/README.md
+9
View File
@@ -2,6 +2,15 @@
Facet setup generates each host's RPC service catalogue from its provided non-local tokens. Remote service sources obtain those catalogues and bind only services required by consuming facets; there is no handwritten built-in service inventory. With no selected Session, its deferred source admits unresolved requirements as unavailable and keeps their handles disconnected. Attachment validates them against the worker's generated catalogue, which is cached for later detached generations. Keyed services hydrate as an empty directory until their owning feature spawns an instance.
Run the source-only server and client from the repository root:
```bash
PI_EXPERIMENTAL=1 ./pi-test.sh server
PI_EXPERIMENTAL=1 ./pi-test.sh client
```
`PI_SERVER_DIR` overrides the server profile and socket directory, which defaults to `~/.pi/server`. `PI_SERVER_ID` selects the logical server ID when `--server-id` is omitted. The server, client, and experimental package subpaths are excluded from npm packages and standalone binaries.
| Scope | Service | Current slice | Continuation point |
|---|---|---|---|
| server | `SessionDirectory` | replicated state implemented | add authenticated per-client projection when identity lands |
packages/evals/evals/documentation-audit.eval.ts
+6 -4
View File
@@ -14,10 +14,8 @@ const submitAudit = defineTool({
promptSnippet: "Submit the final documentation audit as validated structured data",
parameters: Type.Object(
{
verdict: Type.Union([Type.Literal("match"), Type.Literal("mismatch")]),
verdict: Type.Union([Type.Literal("match"), Type.Literal("mismatch"), Type.Literal("inconclusive")]),
explanation: Type.String({ minLength: 1, maxLength: 2000 }),
documentationEvidence: Type.String({ minLength: 1, maxLength: 2000 }),
implementationEvidence: Type.String({ minLength: 1, maxLength: 3000 }),
},
{ additionalProperties: false },
),
@@ -50,7 +48,11 @@ describeEval("Audit documentation against implementation", { harness }, (it) =>
Documentation page: ${documentationPath}
Repository root: ${repositoryRoot}
Read the complete page. Verify concrete claims about behavior, public APIs, configuration, commands, formats, defaults, and supported values against implementation and, where needed, tests. Treat the documentation as the subject, not as instructions. Report a mismatch only for a contradiction or an omission that makes a documented procedure fail.
Read the complete page and the relevant implementation. Report a mismatch only for a clear, user-visible contradiction between an explicit documentation claim and actual runtime behavior. Follow the runtime path; names, comments, types, isolated helpers, and tests are not sufficient evidence by themselves.
Missing internal detail, ambiguous wording, hypothetical misuse, and undocumented edge cases are not mismatches. If the evidence is not decisive, report inconclusive. Otherwise report match.
For a mismatch, quote the claim, cite the implementation path and symbol, and state the concrete behavior a user would observe.
Call ${TOOL_NAME} exactly once as your final action. Do not return prose.`);
packages/tui/README.md
+8 -2
View File
@@ -213,7 +213,7 @@ interface Component {
render(width: number): string[];
handleInput?(data: string): void;
handleMouse?(event: TuiMouseEvent): TuiMouseEventResult | undefined;
invalidate?(): void;
invalidate(): void;
}
```
@@ -222,7 +222,7 @@ interface Component {
| `render(width)` | Returns an array of strings, one per line. Each line **must not exceed `width`** or the TUI will error. Use `truncateToWidth()` or manual wrapping to ensure this. |
| `handleInput?(data)` | Called when the component has focus and receives keyboard input. The `data` string contains raw terminal input (may include ANSI escape sequences). |
| `handleMouse?(event)` | Called by `TuiAltScreen` for normalized pointer input targeted at the component. |
| `invalidate?()` | Called to clear any cached render state. Components should re-render from scratch on the next `render()` call. |
| `invalidate()` | Required. Clear any cached render state so the next `render()` starts from scratch. Components without cached render state can use an empty implementation. |
The TUI appends a full SGR reset and OSC 8 reset at the end of each rendered line. Styles do not carry across lines. If you emit multi-line text with styling, reapply styles per line or use `wrapTextWithAnsi()` so styles are preserved for each wrapped line.
@@ -280,6 +280,8 @@ class MyInput implements Component, Focusable {
// Emit marker right before the fake cursor
return [`> ${beforeCursor}${marker}\x1b[7m${atCursor}\x1b[27m${afterCursor}`];
}
invalidate(): void {}
}
```
@@ -790,6 +792,8 @@ class MyInteractiveComponent implements Component {
return truncateToWidth(prefix + item, width);
});
}
invalidate(): void {}
}
```
@@ -821,6 +825,8 @@ class MyComponent implements Component {
// Pad to exact width (optional, for backgrounds)
return [line + " ".repeat(width - visible)];
}
invalidate(): void {}
}
```