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pi-language-tutor

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Learn a foreign language while you code — a pi extension that reviews your prompts for spelling, grammar, and natural phrasing, and renders agent replies as bilingual immersive translations.

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# pi-language-tutor

Learn a foreign language while you code. 
 A <a href="https://pi.dev">pi</a> extension that reviews your prompts, teaches you how to say what you couldn’t yet, saves new words as flashcards, and turns agent replies into bilingual immersive translations.

English · <a href="README.zh-CN.md">简体中文</a>

## Install

```sh
pi install npm:pi-language-tutor
```

That’s the only required step. Defaults (learning English, native Simplified Chinese) work out of the box. Another language? Type `/lang` or run `/lang native ja`.

<details>
<summary>Alternative: install from git, or hack on a local clone</summary>

```sh
pi install git:github.com/mackt/pi-language-tutor
```

Or symlink a clone into pi’s global extensions directory (auto-discovered via `pi.extensions`, hot-reloads with `/reload`):

```sh
git clone https://github.com/mackt/pi-language-tutor.git
ln -s "$(pwd)/pi-language-tutor" ~/.pi/agent/extensions/pi-language-tutor
```

</details>

## Features

### ✏ Writing check

Prompt in the language you’re learning. While the agent works, a panel explains each mistake in your **native** language — fix, why, and a more natural whole sentence.

### ✏ Writing tutor

Prompt in your **native** language because the thought came faster that way. The tutor teaches the natural whole-sentence form in the learning language, the key words, and the grammar that carries it.

### 🗂 Flashcard review

Words taught by the Writing tutor are saved automatically. Run `/flashcards` to study them with an Anki-style flow; an FSRS scheduler decides when each card comes back.

### 🌐 Bilingual cards

After a reply, press `alt+t` (macOS: ⌥T) or run `/translate`. Each paragraph is followed by its translation — immersive-translate style, with short code blocks kept intact.

## Try this first

1. Start `pi` and send a prompt in your learning language:

```text
   when agent anwser me, I want translate it, it have three feature
   ```

The agent answers as usual. A `✏ Writing check` panel appears above the editor with fixes and native-language explanations.

2. Write a prompt in your **native** language instead:

```text
   我想重构这个函数但是不知道怎么下手
   ```

A `✏ Writing tutor` panel appears: a natural whole-sentence rendering, key vocabulary, and grammar.

3. Words from the tutor are now flashcards. Run `/flashcards`, show the answer, then rate yourself Again / Hard / Good / Easy.

4. When the agent finishes, press `alt+t` (on macOS, [enable Option-as-Meta](https://iterm2.com/documentation-preferences-profiles-keys.html) in your terminal, or run `/translate`). The reply re-renders as a bilingual card.

5. Prefer auto-translate on every final response?

```text
   /lang auto on
   ```

That’s enough to start.

## Design principles

|                                       |                                                                                                                  |
| ------------------------------------- | ---------------------------------------------------------------------------------------------------------------- |
| **Nothing ever blocks**               | Your message goes to the agent immediately; the review runs in parallel. A clean message shows no panel at all.  |
| **Two panels, never both**            | Learning language → Writing check. Native language → Writing tutor. One LLM call decides — they never both fire. |
| **Nothing pollutes the conversation** | Translation cards live only in your terminal — never sent back to the LLM, no context cost.                      |
| **You control the spend**             | Features use your session model by default; point them at a cheaper one with `/lang model`.                      |

## Settings

Type `/lang` for the interactive menu, or set options directly:

| Command | What it does |
| -------------------------------------- | ----------------------------------------------------------------------------------------- |
| `/translate` or `alt+t` | Translate the last assistant response |
| `/flashcards` | Review flashcards captured from the Writing tutor |
| `/lang` | Interactive settings menu |
| `/lang check off` \| `on` \| `context` | Writing check & tutor mode (`context` sees the conversation; `/lang on`/`off` still work) |
| `/lang tutor on` \| `off` | Keep / drop the writing tutor alone |
| `/lang auto on` \| `off` | Auto-translate every final response |
| `/lang native <code>` | Native language — translations & explanations (`zh-CN`, `ja`, …) |
| `/lang learning <code>` | Language you’re practicing (`en`, `fr`, …) |
| `/lang model [model]` | Model for this extension |
| `/lang model default` | Follow the session model |
| `/lang context on` \| `off` | Translations with full session context (off by default) |

## Configuration

Settings persist in `~/.pi/agent/language-learn.json`.

```json
{
  "learning": "en",
  "native": "zh-CN",
  "model": "openai/gpt-4o-mini",
  "check": "on",
  "tutor": true,
  "auto": false,
  "context": false
}
```

`model` defaults to the session model. `tutor` defaults to on.

Flashcards are stored in `~/.pi/agent/flashcards.json`. Review limits and FSRS desired retention are stored in `~/.pi/agent/flashcards-settings.json`.

## Advanced

Skip heuristics, check vs tutor rules, flashcard scheduling, bilingual card details, custom providers, and context-mode cost trade-offs:

→ **[Advanced behavior](https://github.com/mackt/pi-language-tutor/blob/main/docs/advanced.md)**

## Development

```sh
npm install
npm run check   # typecheck
npm test        # unit tests
npm run lint
npm run fmt:check
```

Layout, scripts, and how product screenshots are produced:

→ **[Development guide](https://github.com/mackt/pi-language-tutor/blob/main/docs/development.md)**

Contributions welcome via PR. Conventions live in [AGENTS.md](https://github.com/mackt/pi-language-tutor/blob/main/AGENTS.md).

## License

[MIT](LICENSE)

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