# 🏗️ Runtime API: Music (Jazz)

The Runtime API defines the interface between the Orchestration layer (Genkit) and the Music Engines (Resonance).

## 🎛️ **Music Steering Spec**

All generation functions accept a `MusicSteeringSpec` as their primary steering input.

### **1. Symbolic Music (Path A)**

#### `generate_midi(steering: MusicSteeringSpec) -> MidiBundle`

- **Purpose**: Generates a multi-track symbolic (MIDI) representation.
- **Engines**: Performance RNN, MusicVAE.
- **Output**: `MidiBundle` (includes tracks, metadata, and optional DDSP URL).

### **2. Audio Music (Path B)**

#### `generate_audio(steering: MusicSteeringSpec, midi?: MidiBundle) -> AudioStems`

- **Purpose**: Generates a full audio stream or multi-track audio stems.
- **Engines**: Magenta RT, DDSP (if `midi` is provided).
- **Output**: `AudioStems` (includes audio streams and control curves).

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## 🧭 **Mental Model Routing**

- **Lyria Camera**: Focuses on `generate_audio` (Magenta RT) for reactive audio clips.
- **Infinite Crate**: Focuses on `generate_midi` (MusicVAE) for slow evolution + `generate_audio` (DDSP) for timbre synthesis.
- **Lyria Studio**: Uses both paths extensively, often starting with `generate_midi` for composition followed by `generate_audio` for stems.

## 🛠️ **Wiring Examples**

### **1. TypeScript Orchestrator (Genkit)**

```typescript
const spec: MusicSteeringSpec = {
  style: { genre: "jazz", era: "bebop" },
  emotion: { energy: 0.8, tension: 0.4, warmth: 0.6, darkness: 0.2 },
  intentions: "Generate a bebop-style jazz session with high energy.",
};

const midiBundle = await generate_midi(spec);
const audioStems = await generate_audio(spec, midiBundle);
```

### **2. C++ Native Core (Resonance)**

- Receives JSON-serialized `MusicSteeringSpec`.
- Loads corresponding ONNX models via WinML/DirectML.
- Executes inference and returns `MidiBundle` or `AudioStems`.