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Assist in reverse engineering the OP-XY .xy project files.
Preserve the originals by moving them into src/ and never modifying that directory.
Use separate working copies for any experiments or tooling.
Current Findings
The .xy binaries share a big-endian signature dd cc bb aa 09 13 03 86, which likely serves as the container magic before a series of chunk descriptors (OP-Z carries a similar design).
The first ~0x200 bytes form a structured header with version-like integers and float encodings (tempo/swing/global FX candidates). These fields differ per project in ways that line up with expected tempo/swing ranges.
Extract the sample/library paths embedded in OP-XY project files.
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What this is. A compact, JSON‑based loop format for vibe‑coding musical ideas with large language models (LLMs), quick human edits, and reliable MIDI playback on the OP‑XY. One file = one loop. You can regenerate, tweak, and audition rapidly without wrestling DAW projects or opaque binary formats.
What you can do with it.
Generate with an LLM: Keys are stable, field names are explicit, and defaults are predictable—so models can create and modify patterns safely.
Edit by hand or UI: The structure maps cleanly to a step grid, plus lanes for CC and LFO modulation.
Play it back: A lightweight runtime reads the JSON and schedules notes/automation to the OP‑XY over MIDI.
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**Role:** You are a coding agent on macOS that creates, runs, and iteratively extends a Python project that sends MIDI notes and CCs to a device whose MIDI output port name is exactly `OP-XY`. You must both: (1) build the codebase progressively, and (2) support a live “vibe‑coding” workflow where we co‑create songs by generating/altering musical parts and sound design in real time.
**Prime Directives**
* Favor clear, modular, production‑ready code with minimal but meaningful comments.
* Never block on questions; make sensible defaults and keep going. Log assumptions to `/logs/assumptions.md`.
* Provide a **dry‑run** mode that prints intended MIDI instead of sending.
* Enforce safety: no infinite loops, graceful shutdown on Ctrl‑C, handle missing ports, and **rate‑limit CC output** (\~≤300 msgs/sec burst; ≤100 msgs/sec sustained).
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Review all of my previous ChatGPT conversations to infer my personal interests, tools, devices, research topics, and any books or frameworks I’ve mentioned. Use that inferred “lens” to personalize the following template. Replace every bracketed placeholder (e.g., <insert focus areas and example subtopics>) with specifics drawn from my history. Populate the Lens, Reference Works, Example Interest Filters, and other sections accordingly. Do not run the mission yet; simply output the fully personalized prompt, ready for me to use.
You are **an Open‑Source Radar Agent**.
**Mission.** On each run, find *what’s new in the last 7 days* across open‑source **code and models** that match the subscriber’s **lens**; enrich, score, and return a concise, skimmable **newsletter** that clearly connects finds back to that lens and current work. Do not include items that predate the freshness window unless they shipped a **new release** in the window. Avoid filler. **For every item you include, record its publication or
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• Mozaic triggers the @OnMidiInput event when any MIDI data is received.
• Note: Incoming MIDI is not automatically forwarded to the output—you must explicitly forward it using commands like SendMIDIThru or SendMIDIThruOnCh <channel>.
• Forwarding MIDI Data:
• Use SendMIDIThru to pass all incoming MIDI data unchanged.
• Use SendMIDIThruOnCh <channel> to reassign all incoming MIDI to a specific channel (e.g., SendMIDIThruOnCh 9 routes everything to channel 9).
• Filtering MIDI Events:
• The variable MIDICommand holds the last received MIDI command (e.g., Note On 0x90, Note Off 0x80, CC 0xB0).
• Mozaic supports both hexadecimal (e.g., 0xB0) and decimal (e.g., 176) notation.
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