song-schema 0.1.0

Pydantic models for defining Ableton Live song configurations

Song Schema

Pydantic models for defining Ableton Live song configurations.

Overview

This package provides a comprehensive schema for defining songs as JSON configurations that can be executed against Ableton Live via the OSC API.

Installation

poetry install

Usage

from song_schema import SongConfig
from song_schema.validate import validate

# Load a song configuration
song = SongConfig.load("examples/lofi-beat.json")

# Validate it
result = validate(song)
print(result.summary())

# Access properties
print(f"Tempo: {song.metadata.tempo}")
print(f"Tracks: {list(song.tracks.keys())}")

# Save changes
song.save("my_song.json")

Schema Structure

• metadata: Tempo, key, scale, time signature, groove, loop settings
• structure: Song sections (intro, verse, chorus, etc.) mapped to Ableton scenes
• tracks: MIDI/audio tracks with devices, clips, and mix settings
• mixing: Return tracks and master processing chain

Examples

See the examples/ directory:

• minimal.json - Simplest valid song configuration
• lofi-beat.json - A realistic lo-fi hip-hop beat
• full-coverage.json - Every field populated for reference

Related Projects

• ableton-mcp-server - MCP server that exposes OSC tools to Claude
• ableton-osc-client - Python client for AbletonOSC