arborito-sdk 0.2.2

Python SDK for Arborito courses: load .arborito archives and Quiz V2 challenges. Not the browser Arcade SDK (window.arborito).

Arborito Python SDK

Build Pygame games, bots, kiosks, validators, and offline trainers from any .arborito course. Same capabilities as browser Arcade cartridges (window.arborito).

arborito-games is only the HTML Arcade catalog (like Flathub). This repo is for Python and native apps.

Version: 0.2.2 (initial release)

Naming: camelCase vs snake_case

The browser injects window.arborito with camelCase methods (fromLesson, buildCard, tasksFromLesson). The Python SDK keeps those same names on the Arcade surface so a cartridge and a Pygame game share one vocabulary.

Python-only helpers use snake_case (grade_answer, matches_any, branch_profile, lesson_action). CamelCase aliases exist where useful (gradeAnswer, matchesAny, branchProfile, lessonAction, plainText / plain_text).

Install

pip install arborito-sdk
# Rich terminal lesson editor (F2 Quiz, forms, block list):
pip install 'arborito-sdk[tui]'
# Nostr account + publish:
pip install 'arborito-sdk[nostr]'

Package name: arborito-sdk · CLI command: arborito-cli · Python import: arborito_sdk

Mental model

list → go → read | edit | quiz | ask

Library: branch (full courses) and tree (composed playlists).

CLI commands

Run arborito-cli. Interactive: arborito-cli course.arborito (REPL with breadcrumb prompt).

Area	Commands
Interactive	shell or arborito-cli course.arborito (REPL)
Navigate	list, go N, go back, go where, go "name"
Lesson	read (enriched), edit (TUI / F2 Quiz), edit --raw, games
Study	quiz, ask
Course	info, search
Branches	branch list, branch add CODE, branch open "Name", branch import, branch new, branch publish, branch export, branch remove
Trees	tree list, tree open "Name", tree import, tree export, tree remove
Copy	cp branch "Name" / cp tree "Name"
Account	session register, session login, session logout, session whoami
Memory	memory due, memory report
Config	config relay …, config ai …

Network: only share codes XXXX-XXXX or local .arborito files, no manual nostr:// URLs. Sync and refresh run automatically when loading from the network.

Quick start

pip install 'arborito-sdk[tui]'
arborito-cli course.arborito
branch import course.arborito
branch open "My Course"
list
go 1
read # enriched blocks (not raw @quiz)
edit # F2 Quiz, Ctrl+S save
quiz --rounds 5

Lesson editor (terminal)

Command	Behaviour
read	Structured view: Quiz · concept, question, answer
edit	Block list + forms (requires [tui] for full UI)
edit --raw	Open lesson markdown in $EDITOR

Details: CLI.md. Full WYSIWYG editing is in Arborito Construction mode.

Lesson outline (construct TOC)

Syllabus rows use an @section fence with index (path) and title. Nest depth is the path segment count (max 8). Indexes are rewritten on every save/move:

@section
index: 1
title: Introduction
@/section

Text of the first section.

@section
index: 1.1
title: Concepts
@/section

Detail.

@section
index: 1.2
title: Exercise
@/section

More practice.

@section
index: 1.2.1
title: Extra
@/section

Nested.

@section
index: 2
title: Practice
@/section

Second root section.

• Nesting = index segment count.
• Humans and the machine share one coordinate (index:).
• ←→↑↓ operate on that geometry; apply_toc_section_move returns {ok, body, selectedIndex} where ok is path math (not whether the markdown bytes changed).
• Normal ## / ### without a path are content titles once the lesson already has index: rows.
• Titles may repeat; indexes stay unique after prepare_construct_outline_body.

The API every game needs

lesson → challenge → your UI → memory (optional)

from arborito_sdk import Arborito

api = Arborito.from_arborito("course.arborito", lang="EN")
lesson = api.lesson.at(0)
cards = api.challenge.fromLesson(lesson)
card = api.challenge.modes.buildCard(cards[0], "cloze", lang="EN")
prose = api.lesson.plainText(lesson)  # NPC / HUD (strips @section, @quiz, …)
api.memory.report(lesson["id"], quality=4)

Care sync with the Arborito app (Nostr tree + account):

api = Arborito.from_share_code("ABCD-EF23", lang="EN")
api.login("player", "their-sync-secret")  # restores network identity escrow
api.memory.pull()  # merge Care from relays
api.memory.report(lesson["id"], quality=4)
api.memory.push()  # or api.memory.sync() = pull+push

Requires pip install 'arborito-sdk[nostr]'. CLI: session login then memory pull|push|sync.

Optional: ask.lesson_action(...) (local LLM + branch context), ask.json(...) (your own prompt), api.narrative.start() (programmatic only, no CLI narrative command).

Quiz helpers

lesson = api.lesson.by_id(pool_item["lessonId"])
ctx = api.lesson.context_for_ai(lesson)
ok = api.quiz.grade_answer(lesson, {"q": "…", "correct": "…"}, player_text)
match = api.quiz.matches_any(player_text, ["answer", "synonym"])
picked = api.quiz.pick(pool, session={})  # session["used"] persists
tasks = api.challenge.tasksFromLesson(lesson, {"max": 10})
replay = api.quiz.find_code_replay("echo hi", lesson=lesson)

In static mode, grade_answer only uses local matching (no LLM). Browser cartridges use the same helpers under camelCase (gradeAnswer, matchesAny, tasksFromLesson, findCodeReplay, …), see sdk-spec.md.

Loaders

Method	Use
Arborito.from_arborito(path)	Local export (recommended)
Arborito.from_share_code("ABCD-EF23")	Public share code
Arborito.from_nostr(pub, universe_id)	Direct Nostr reference

Docs

• CLI.md — full CLI reference + terminal editor keys
• CHANGELOG.md — release notes
• sdk-spec.md — API contract
• PYTHON_SDK.md

Test

cd arborito-sdk && pip install -e ".[dev,nostr]" && python -m unittest discover -s tests -q

Example

# Static quiz (no AI server)
python examples/minimal_quiz.py path/to/course.arborito EN

# AI tutor (needs llama.cpp on LLAMA_CPP_HOST or port 8080/8765)
python examples/ai_tutor.py path/to/course.arborito EN

AI in three lines

profile = api.lesson.branch_profile(lesson)
res = api.ask.lesson_action(lesson, player_said, {"persona": "Guide", "profile": profile})
print(res["output"])

See examples/ai_tutor.py for a full REPL.

Contributing

CONTRIBUTING.md

Chat: Matrix #arborito:matrix.org · treesys.org

License

GPL-3.0-or-later, LICENSE