Keyboardia

Get Keyboardia session

Read the current tempo and compact track patterns from an existing Keyboardia session.

Edit Keyboardia session

Make one narrow, retry-safe edit to an existing collaborative session. After every attempt, the next Keyboardia call must be get_session for the same session. A successful call includes a backwards-compatible compact snapshot plus an acknowledgement. That snapshot is not authoritative verification; do not make another edit or finish from it. Read with get_session next. Supported operations: add_track, set_track_instrument, set_track_pan, set_steps, and set_tempo. set_steps changes only the named

Create Keyboardia session

Create a new editable Keyboardia session with the normal defaults and return its shareable URL. The session starts with no tracks; use edit_session to add them. Pass the same idempotency_key when retrying so an uncertain attempt cannot leave duplicate sessions behind.

Remix Keyboardia session

Copy an existing session — published or editable — into a new editable session that records the original as its source. The source is never modified, so this is how to continue from published work.

Publish Keyboardia session

Freeze the current music into a new immutable session and return its URL. The source session stays editable at its own URL. Only call this when someone explicitly asks to publish; it is never a side effect of editing or exporting.

Export Keyboardia session as MIDI

Export the session as a base64-encoded Standard MIDI File, matching what Keyboardia's own Export MIDI produces for the same music. The session is not modified. The result lists any session features a MIDI file cannot carry rather than approximating them silently.

Analyze Keyboardia session

Describe what is happening musically in a session — rhythm, pitch content, inferred key, and chords — without changing anything. Use this to explain music rather than to edit it. Results come from the same music-theory module the browser's Key Assistant and Chromatic Grid use, and report where the analysis is uncertain instead of guessing.