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toolpa is an AI-native instrument framework for the browser.

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# toolpa JavaScript implementation

Created by [Debit](https://debit.media/) and [Saarim Zaman](https://saarimz.com/).

`toolpa-js` is being open sourced under the [MIT License](#license) so artists,
builders, educators, and researchers can inspect the system, fork it, build new
instrument families, and reuse the browser/audio framework with minimal
restriction. The license keeps attribution and warranty terms clear while
leaving room for both creative experiments and commercial products built on top
of the framework.

`toolpa` is an AI-native instrument framework for the browser.
This repo is the JavaScript implementation, published and deployed as
`toolpa-js`.

The project is not just a collection of music toys. It is a modular workstation
for generating, inspecting, playing, exporting, and rebuilding instruments whose
behavior is described by typed manifests and serializable musical documents.

The mental model is a modular rig:

- A hardware modular rig is built from oscillators, samplers, sequencers,
  filters, VCAs, modulation sources, patch cables, panels, and power rails.
- `toolpa` is built from manifests, document schemas, prompt surfaces,
  AI builders, sample libraries, audio engines, FX slots, export adapters,
  route conventions, registries, and verification gates.
- A generated instrument is not an opaque model response. It is a real route in
  the workstation with a manifest, UI, playable audio path, inspectable saved
  document, export contract, tests, and registration metadata.

The long-term goal is to make it possible to build an entire workstation of AI
instruments: sample manglers, synths, MIDI generators, effects, hybrid
sample-informed synths, microtonal pattern machines, analysis tools, and future
instrument families that all speak a shared platform language.

## Table Of Contents

- [Getting Started](#getting-started)
- [License](#license)
- [Dependency Map](#dependency-map)
- [What This Framework Is](#what-this-framework-is)
- [Core Model](#core-model)
- [Architecture Map](#architecture-map)
- [Routes And Product Surfaces](#routes-and-product-surfaces)
- [Agent Manifests](#agent-manifests)
- [Musical Documents](#musical-documents)
- [L1 Instruments](#l1-instruments)
- [L2 Builders](#l2-builders)
- [Generated Tool Contract](#generated-tool-contract)
- [AI Generation Architecture](#ai-generation-architecture)
- [Prompt Memory Ledger](#prompt-memory-ledger)
- [Audio Architecture](#audio-architecture)
- [FX Architecture](#fx-architecture)
- [Sample Library And Analysis](#sample-library-and-analysis)
- [MIDI And Export Architecture](#midi-and-export-architecture)
- [Dashboard And Audits](#dashboard-and-audits)
- [Prompt-First UI Contract](#prompt-first-ui-contract)
- [Verification Gauntlet](#verification-gauntlet)
- [Deployment Model](#deployment-model)
- [Development Commands](#development-commands)
- [How To Extend The Framework](#how-to-extend-the-framework)
- [Glossary](#glossary)

## Getting Started

This section is written for someone who has never run a project from Terminal
before. Follow the steps in order and copy one command block at a time.

The full builder workflow needs a local writable checkout. Vercel is suitable
for a frozen/demo viewer of tools that are already committed to the repo, but
the current builder writes source files, snapshots, and registry metadata. If
you want to create or rebuild tools, run the app on your own machine.

### 1. Install Node.js

Install Node.js before opening the project. This app needs Node.js `20.9.0` or
newer. If you do not already have Node.js, download it from
[nodejs.org](https://nodejs.org/) and use the default installer.

After installing Node.js, open a new Terminal window and check that it worked:

```bash
node --version
```

You should see a version number like `v20.x`, `v21.x`, `v22.x`, or newer. If
Terminal says `node: command not found`, Node.js is not installed correctly yet.

### 2. Get The Project Folder

If you already have a `toolpa-js` folder on your computer,
skip this step.

If you are viewing this on GitHub and do not have the project yet:

1. Click the green `Code` button.
2. Click `Download ZIP`.
3. Unzip the downloaded file.
4. Move the folder somewhere easy to find, like your Desktop or Downloads
   folder.

The folder may be named `toolpa-js` or a `-main` variant.
Any of those is fine.

If you already know how to use Git, cloning the repo works too:

```bash
git clone https://github.com/saarimz/toolpa-js.git
```

### 3. Open Terminal

On macOS:

1. Press `Command + Space`.
2. Type `Terminal`.
3. Press `Enter`.

On Windows:

1. Open the Start menu.
2. Type `PowerShell`.
3. Open Windows PowerShell.

Keep this Terminal or PowerShell window open. The app runs from here.

### 4. Go To The Project Folder

You need Terminal to be inside the project folder before the commands will work.

If the folder is in your Downloads folder, this may work:

```bash
cd ~/Downloads/toolpa-js
```

If you are not sure where the folder is, type `cd ` with a space after it, drag
the project folder into Terminal, then press `Enter`.

Check that you are in the right place:

```bash
pwd
```

The path should end with the project folder name, such as `toolpa-js`.

### 5. Turn On pnpm

This repo uses `pnpm` to install and run the app. Node.js includes a helper
called Corepack that can install the right pnpm version for you.

Run:

```bash
corepack enable
corepack prepare pnpm@10.26.2 --activate
pnpm --version
```

The last command should print `10.26.2`. If your computer asks for permission,
allow it and run the command again.

### 6. Create Your Local Environment File

The app reads local secrets from `.env.local`. Create it from the example file.

On macOS or Linux:

```bash
cp .env.example .env.local
```

On Windows PowerShell:

```powershell
Copy-Item .env.example .env.local
```

Open `.env.local` in any text editor. It should look like this:

```bash
AI_GATEWAY_API_KEY=
AI_GATEWAY_MODEL=deepseek/deepseek-v4-flash
```

Get the API key from Vercel AI Gateway:

1. Sign in to Vercel.
2. Open the
   [AI Gateway API Keys page](https://vercel.com/d?to=%2F%5Bteam%5D%2F~%2Fai-gateway%2Fapi-keys&title=AI+Gateway+API+Keys).
3. Click `Create key`.
4. Copy the key. You usually only get one chance to copy the full value.

Paste that key after `AI_GATEWAY_API_KEY=`:

```bash
AI_GATEWAY_API_KEY=your_key_goes_here
AI_GATEWAY_MODEL=deepseek/deepseek-v4-flash
```

Choose the model by changing `AI_GATEWAY_MODEL`. Vercel model IDs use the
`provider/model-name` shape, for example `deepseek/deepseek-v4-flash`.

To choose a different model:

1. Open the
   [Vercel AI Gateway model catalog](https://vercel.com/ai-gateway/models).
2. Filter for language models and compare context window, latency, throughput,
   and price.
3. Copy the exact model ID from the `Model` column.
4. Paste it into `.env.local`:

```bash
AI_GATEWAY_MODEL=provider/model-name
```

For this repo, keep `deepseek/deepseek-v4-flash` unless you are intentionally
testing another model. Fast, low-cost models are better for iteration; larger
reasoning models can be useful when the tool-loop builder needs deeper code
changes.

You can also inspect the current model list from Terminal:

```bash
curl https://ai-gateway.vercel.sh/v1/models
```

Save the file. Do not add spaces around the `=` signs.

The app can still open without `AI_GATEWAY_API_KEY`, but AI generation and
builder features will show a warning and will not work fully.

### 7. Install The Project

Run this once:

```bash
pnpm install --frozen-lockfile
```

This may take a few minutes. It is finished when Terminal returns to a normal
prompt and there is no error message.

### 8. Start The App

Run:

```bash
pnpm dev --port 3010
```

Leave this command running. The app is open as long as this Terminal window is
still running the dev server.

If the terminal says another server is already running, use the URL it prints,
or stop the old server with `Control + C` and run `pnpm dev --port 3010` again.
If port `3010` is taken by another app, run `pnpm dev --port 3011` and use
port `3011` in the browser URL.

### 9. Open The App In Your Browser

Open:

```text
http://localhost:3010/dashboard
```

You should see the `toolpa` dashboard. From there you can open existing
tools or use the builder routes.

If you started the app on port `3011`, open:

```text
http://localhost:3011/dashboard
```

### 10. Stop And Restart Later

To stop the app, go back to Terminal and press:

```text
Control + C
```

The next time you want to run the app, open Terminal, go back into the project
folder, and run:

```bash
pnpm dev --port 3010
```

You do not need to run `pnpm install --frozen-lockfile` again unless the project
dependencies changed.

### Common Problems

- `node: command not found`: install Node.js, then close and reopen Terminal.
- `corepack: command not found`: Node.js is missing or too old. Reinstall
  Node.js, then try again.
- `pnpm: command not found`: rerun the commands in step 5.
- `No such file or directory`: Terminal is not inside the project folder yet.
  Rerun step 4 and drag the project folder into Terminal after typing `cd `.
- `AI generation is disabled`: `.env.local` is missing `AI_GATEWAY_API_KEY`.
- `Executable doesn't exist` or `browserType.launch` during an audio gate: run
  `pnpm exec playwright install chromium`, then retry the build.
- The browser page does not load: make sure `pnpm dev --port 3010` is still
  running, and make sure the browser URL uses the same port printed in Terminal.

### Optional: Local Production Playback

For local production playback of tools already in the checkout:

```bash
pnpm build
pnpm start --port 3010
```

Production playback is good for the currently committed tools. For brand-new
generated routes, use dev mode while building them, or rebuild and restart after
the generated tool has been written.

## License

`toolpa-js` is open source under the [MIT License](LICENSE). MIT is a good fit
for this project because it is a creative software framework and browser
workstation: contributors can study, fork, remix, and ship derivative tools
while retaining the attribution and warranty protections expected for a public
open-source codebase.

## Dependency Map

This repo installs more than a simple web page because it is a browser instrument workstation,
sample-analysis lab, AI generation surface, and local source-code builder in one
project. The dependencies fall into a few clear groups.

| Dependency area | Main packages / tools | Why it exists |
| --- | --- | --- |
| App shell | `next`, `react`, `react-dom`, `tailwindcss`, `lucide-react` | Runs the dashboard, builder pages, and tool UIs. |
| Contracts and state | `zod`, `zustand`, `lz-string`, `idb` | Validates manifests/documents, stores browser-side tool state, and serializes shareable musical data. |
| AI generation | `ai`, `@ai-sdk/gateway` | Calls the configured AI Gateway model for prompts, sample descriptors, SynthScene generation, MIDI generation, and L2 tool-loop generation. |
| Audio runtime | `tone`, browser Web Audio APIs, `web-audio-beat-detector` | Plays, schedules, analyzes, records, and renders instrument output in the browser. |
| Sample analysis | `essentia.js`, `@tensorflow/tfjs` | Extracts local audio features and optional MusicNN-style descriptors for sample-aware tools. |
| Camera instruments | `@mediapipe/tasks-vision` | Powers the camera theremin tracking modes for hands, gestures, face, eyes, and body. |
| Verification | `typescript`, `vitest`, `@vitest/browser`, `@vitest/browser-playwright`, `playwright`, `happy-dom`, `jsdom`, Testing Library | Proves generated tools typecheck, render in tests, and produce valid browser audio output before registration. |
| Local builder writes | Node.js `fs`, `path`, and `child_process` APIs | Lets the L2 builder create files, run local checks, update `.audit`, and register generated tools in the checkout. |

The important point: `pnpm install --frozen-lockfile` installs the whole
workstation. Do not remove a package only because one visible page does not use
it. A package may be required by a generated-tool template, an audio gate, a
sample-analysis path, or an L2 verification subprocess.

### AI L2 Build Path

The L2 builder is the dependency-heavy path. It is intentionally heavier than a
normal prompt form because it writes real source code and proves that code before
the dashboard accepts it.

The create flow is:

1. The `/build` UI posts a build request to `app/api/build/handler.ts`.
2. The handler validates the request with the builder Zod contract and streams
   NDJSON progress chunks back to the UI.
3. The default runner creates a generated L1 from the canonical skeleton. If
   `TOOLPA_JS_BUILDER_MODE=tool-loop` is set, it instead runs the AI SDK
   `ToolLoopAgent`.
4. The tool-loop agent uses `@ai-sdk/gateway`, so it needs `AI_GATEWAY_API_KEY`
   in `.env.local` or Vercel OIDC auth in a deployment environment.
5. The builder tools read existing L1 manifests, read shared schemas, instantiate
   or edit files only inside `app/tools/<slug>/`, and reject sandbox breaches.
6. Every TS/TSX edit goes through a TypeScript syntax audit before it is written.
7. Registration runs the gates in order: manifest validation, static audit,
   scoped `tsc`, scoped Vitest unit tests, Playwright-backed browser audio gate,
   snapshot write, and generated-registry update.
8. A successful run writes or updates:
   - `app/tools/<slug>/`
   - `.audit/typecheck/tsconfig.<slug>.json`
   - `.audit/snapshots/<slug>/...json`
   - `.audit/generated-tools.json`

The rebuild flow is similar, but it goes through `app/api/build/edit/handler.ts`
and edits an existing generated tool. It does not instantiate a fresh skeleton
or change the slug.

### L2 Environment Variables

| Variable | Required? | Purpose |
| --- | --- | --- |
| `AI_GATEWAY_API_KEY` | Required for AI generation locally | Enables AI Gateway calls for prompts and tool-loop generation. |
| `AI_GATEWAY_MODEL` | Optional | Overrides the default model. The repo default is `deepseek/deepseek-v4-flash`. |
| `TOOLPA_JS_BUILDER_MODE=tool-loop` | Optional | Enables the AI tool-loop builder instead of the default skeleton builder path. |
| `TOOLPA_JS_BUILDER_TIMEOUT_MS` | Optional | Overrides the builder timeout. The default is `90000` milliseconds. |
| `PLAYWRIGHT_BROWSERS_PATH` | Optional | Lets advanced users point Playwright at a custom browser install/cache. |

If the first generated-tool audio gate says Chromium is missing, install the
browser used by Playwright:

```bash
pnpm exec playwright install chromium
```

### Why The Builder Must Run Locally

The L2 builder depends on a writable project filesystem. During one build it may
create source files, write temporary typecheck configs, execute local commands,
run a browser audio test, snapshot the generated tool, and update the generated
registry. That is why the full builder workflow uses:

```bash
pnpm dev --port 3010
```

Demo hosting can show committed tools, but it is not equivalent to this local
builder workflow unless the storage and deployment model changes.

### What Generated Tools May Use

Generated tools should be built from the dependencies already in `package.json`
and the shared code already in this repo. The L2 sandbox is designed to keep
generated code inside `app/tools/<slug>/`; if a request needs a new package or a
shared library change, that should be handled as a normal human-reviewed repo
change first, then the builder can use it.

## What This Framework Is

`toolpa` is a framework for building browser instruments with AI as an
instrument-design collaborator.

The framework gives each instrument:

- A validated identity: name, slug, level, origin, route, status, autonomy, and
  declared capabilities.
- A declared musical family: sample, synth, hybrid, effect, MIDI, visualizer, or
  builder.
- A saved document format: Pattern, SynthScene, MidiClip, visual-scene,
  audio-stream patch, or generated files.
- A prompt-first control surface that makes AI generation the first meaningful
  creative gesture.
- A real Web Audio, MIDI, or audio-reactive visual output path.
- A record/export path where the generated result can leave the browser.
- A registry and audit trail so generated instruments are not silently detached
  from the workstation.
- A verification path that proves the tool can render, typecheck, test, and
  produce finite audible output where audio is expected and deterministic visual
  frame output where visuals are expected.

The framework is intentionally instrument-centered. The unit of work is not
"call a model and play a sound"; the unit of work is "create a reusable musical
module with a stable contract."

### Why Manifests And Documents Matter

AI can generate code, parameters, sequences, patches, and descriptions. Without
a framework, those outputs become hard to trust:

- A prompt response may not map to a playable audio graph.
- A generated UI may not expose the underlying music.
- A synth patch may exist only in transient Web Audio nodes.
- An instrument may work once but fail after reload.
- A generated tool may appear in the app without tests, exports, or registration.

This repo solves that by making each instrument explain itself in code.
`AgentManifestSchema` declares what the tool is. Pattern, SynthScene, MidiClip,
visual-scene, and audio-stream contracts declare what the tool produces. The
dashboard and audit layers read those declarations and decide whether the tool
belongs in the workstation.

### The Modular Rig Analogy

The framework pieces line up with a modular system:

| Modular rig concept | toolpa concept |
| --- | --- |
| Module panel | `/tools/<slug>` route and React client |
| Module label | `app/tools/<slug>/manifest.ts` |
| Patch cable | Serializable document passed between UI, engine, export, and tests |
| Sequencer / visual patch | Pattern, SynthScene, MidiClip, or visual-scene document |
| Oscillator / sampler / processor | Web Audio and Tone.js engine code |
| Rack power and clock | Shared audio bootstrap, Tone transport, global BPM/key/scale context |
| Utility module | Shared SamplePicker, FX slots, ToolExportPanel, AudioOutputRecorder |
| Builder module | L2 routes under `/build` |
| Calibration procedure | Manifest validation, syntax/static audit, typecheck, unit tests, audio gate |
| Preset memory | JSON document, export artifact, generated registry, snapshots |

The result is a system where AI can help design new modules, but every module
still has to fit the rack.

## Core Model

The platform has two levels.

| Level | Meaning | Routes |
| --- | --- | --- |
| L1 | Playable AI-native instruments, effects, analyzers, and generators | `/tools/<slug>` |
| L2 | Builders that generate or rebuild L1 tools | `/build`, `/build/sample`, `/build/synth`, `/build/effect`, `/build/hybrid`, `/build/microtonal`, `/build/visualizer` |

There is no higher builder tier in the product. `AgentManifestSchema` accepts
only `level: 1` and `level: 2`.

### Current Runtime Inventory

The runtime registry currently resolves:

| Count | Value |
| --- | --- |
| Total manifests | 20 |
| L1 tools | 13 |
| L2 builders | 7 |
| Installed manifests | 17 |
| Generated manifests | 3 |
| Instrument types | builder 7, visualizer 1, synth 4, sample 5, effect 1, midi 1, hybrid 1 |
| Document types | files 7, visual-scene 1, synth-scene 4, pattern 4, audio-stream 3, midi-clip 1 |

Those counts come from `getAgentManifests()` in `lib/agents/registry.ts`, which
merges the generated registry with in-tree manifests.

### Framework In One Flow

```text
brief / prompt
  -> L2 builder or L1 generator
  -> validated musical document
  -> instrument UI state
  -> playback engine
  -> export / recording / registry
  -> tests and audits prove the contract still holds
```

For L1 instruments, AI usually generates or edits a musical document.

For L2 builders, AI generates or edits the source code of an L1 instrument, but
the write path is sandboxed and registration is gated.

## Architecture Map

Important directories and files:

```text
app/
  dashboard/
    page.tsx                         Dashboard server page.
    tool-suite-dashboard.tsx         Catalog, filters, health, rebuild links.
  build/
    page.tsx                         General create/rebuild builder surface.
    [domain]/page.tsx                Specialized builder surfaces.
  api/
    build/handler.ts                 L2 create stream.
    build/edit/handler.ts            L2 rebuild stream.
    generate/handler.ts              Pattern generation.
    synth/handler.ts                 SynthScene generation/evolution.
    sample-analysis/handler.ts       AI descriptors and production-use ideas.
    analyze-upload/handler.ts        Node-side upload analysis.
    suggestions/handler.ts           Prompt suggestions.
  tools/
    <slug>/
      manifest.ts                    Tool identity and capability contract.
      page.tsx                       Route entry.
      client.tsx                     Playable UI.
      render.ts                      Offline renderer where applicable.
      *.test.ts(x)                   Unit coverage.
      render.audio.test.ts           Browser audio gate for generated tools.

components/
  audio-bootstrap.tsx                Browser audio startup boundary.
  audio-output-recorder.tsx          Shared output recording.
  sample-picker.tsx                  Shared sample/library/upload selector.
  tool-export-panel.tsx              Shared artifact export surface.
  fx-slot-panel.tsx                  Shared A/B/C/D FX control panel.
  music/global-music-controls.tsx    Shared BPM/key/scale workstation controls.

lib/
  agents/
    contract.ts                      AgentManifestSchema.
    registry.ts                      Runtime manifest registry.
    manifest-source.ts               In-tree manifest reader.
    generated-registry.ts            .audit/generated-tools.json reader/writer.
    generated-audit.ts               Generated tool health audit.
    platform-hardening.ts            L1/L2 platform contract audit.
    builder-contracts.ts             Build request/stream schemas.
    builder-tools.ts                 Builder tool functions and registration.
    builder-profiles.ts              Specialized L2 builder domains.
    sandbox.ts                       Generated-tool write boundary.
    templates/                       Canonical generated L1 skeletons.
  ai/
    gateway.ts                       AI Gateway model configuration.
    pattern-generation.ts            Pattern generation helpers.
    synth-generation.ts              SynthScene generation helpers.
    grid-tool-agent.ts               Grid/sample tool agent helpers.
    sample-context.ts                Sample context for prompts.
  audio/
    pattern-engine.ts                Live Pattern playback engine.
    wav-render.ts                    Offline Pattern WAV rendering.
    synth-wav-render.ts              Offline SynthScene rendering.
    fx-manifest.ts                   Shared FX manifest and FX slot schema.
    fx-chain.ts                      Runtime FX graph construction.
    offline-analysis.ts              Audio gate measurements.
    transport-owner.ts               Shared Tone transport ownership.
  pattern/
    schema.ts                        Pattern document contract.
    url-codec.ts                     Pattern URL serialization.
  midi/
    export.ts                        Standard MIDI File encoder.
    synth-scene.ts                   SynthScene-to-MIDI export.
  music/
    context.ts                       Global BPM/key/scale schemas.
    scale-catalog.ts                 Scales and microtonal tuning catalog.
  samples/
    library.ts                       Static library contract.
    curated-suite.ts                 Curated committed samples.
    storage.ts                       IndexedDB upload storage.
    resolver.ts                      Library/upload sample resolution.
    analysis/                        DSP, Essentia, cache, and schema.
  tool-exports/
    contract.ts                      Export strategy declarations.
    adapters/                        Pattern, SynthScene, MidiClip, audio adapters.

.audit/
  generated-tools.json               Generated manifest registry.
  snapshots/<slug>/                  Accepted generated file snapshots.
```

## Routes And Product Surfaces

The app is centered on `/dashboard`. That page is the workstation rack: it
shows installed L1 instruments, generated L1 instruments, and the specialized L2
builders used to create or rebuild L1s.

Primary routes:

- `/dashboard`: catalog, global music context controls, installed/generated/L2
  filters, generated-tool audit summary, platform-hardening summary, rebuild
  links, and gateway status.
- `/tools/<slug>`: playable L1 instruments and effects.
- `/build`: general L2 builder for creating or rebuilding generated L1 tools.
- `/build/sample`: specialized sample-pattern L2 builder.
- `/build/synth`: specialized SynthScene L2 builder.
- `/build/effect`: specialized audio-stream effect L2 builder.
- `/build/hybrid`: specialized sample-informed synth L2 builder.
- `/build/microtonal`: specialized microtonal sample-pattern L2 builder.
- `/build/visualizer`: specialized audio-reactive visual-scene L2 builder.

Important API routes:

- `/api/build`: streams L2 create work as NDJSON chunks.
- `/api/build/edit`: streams L2 rebuild work as NDJSON chunks.
- `/api/generate`: pattern generation stream for sample-pattern tools.
- `/api/synth`: SynthScene generation and evolution.
- `/api/analyze-upload`: server-side WAV analysis path.
- `/api/sample-analysis`: AI descriptor and production-use idea enrichment.
- `/api/suggestions`: prompt suggestion endpoint.

## Agent Manifests

Every tool lives or dies by its manifest.

The manifest is the module label, capability declaration, routing contract,
document declaration, and audit target. It lets the platform reason about tools
without hand-inspecting every UI file.

The schema lives in `lib/agents/contract.ts`.

Core fields:

| Field | Meaning |
| --- | --- |
| `name` | Human label for the tool. |
| `slug` | Route and registry identity. L1 routes must be `/tools/<slug>`. |
| `level` | `1` for instruments, `2` for builders. |
| `origin` | `installed` for committed platform tools, `generated` for L2-created tools. |
| `description` | Product description of the instrument or builder. |
| `route` | Route where the tool mounts. |
| `instrument.type` | `sample`, `synth`, `hybrid`, `effect`, `midi`, `visualizer`, or `builder`. |
| `instrument.workflow` | More specific workflow label such as `sample-pattern` or `synth-scene`. |
| `instrument.document` | Saved output contract: `pattern`, `synth-scene`, `midi-clip`, `audio-stream`, `visual-scene`, or `files`. |
| `instrument.usesSamples` | Whether the tool consumes sample library or upload sources. |
| `instrument.usesSynthesis` | Whether the tool creates sound through synthesis. |
| `capabilities` | Feature flags such as `generatePattern`, `fxSlots`, `exportMidi`, `recordOutput`, `verifyTool`. |
| `inputs` | Declared input needs: prompt, samples, BPM, global context, scale search, audio sources, description, reference agent. |
| `musicContext` | Whether the tool participates in global BPM, key, and scale. |
| `outputs` | Declared outputs: Pattern, SynthScene, MIDI, visual-scene, audio, recording, files, manifest. |
| `exports` | Portable artifact strategy for audio and MIDI. |
| `fx` | Optional shared FX slot declaration. |
| `autonomy` | `manual`, `assist`, or `driven`. |
| `status` | `enabled`, `disabled`, or `coming-soon`. |

### L1 Manifest Rules

L1 tools must:

- Mount at `/tools/<slug>`.
- Be playable instruments, effects, analyzers, or generators, not file builders.
- Expose prompt input for AI-native generation.
- Declare the output matching their document type.
- Declare audible Web Audio output when they produce sound.
- Expose recording output and the `recordOutput` capability when they are
  audio-producing instruments rather than visualizers.
- Opt into the required shared music context for their instrument type.
- Avoid descriptions that read like builder tasks.

SynthScene L1 tools must also declare MIDI output and `exportMidi` unless they
are continuous live synths such as `camera-theremin`.

Visualizer L1 tools must declare `instrument.type = "visualizer"`,
`instrument.document = "visual-scene"`, `outputs.visualScene = true`, and the
live analyser sources they support, such as `live-audio`, `audio-file`, and
`microphone`. Built-in live audio is allowed, but microphone access must remain
user-gesture initiated and visual motion must be bounded around measured audio
features rather than random animation.

### L2 Manifest Rules

L2 tools must:

- Mount under `/build`.
- Use `instrument.type = "builder"` and `instrument.document = "files"`.
- Accept description and reference-agent inputs.
- Output generated files and a manifest.
- Include `verifyTool` and `registerTool` capabilities.
- Use specialized slugs like `_<domain>-builder` for domain builders.

## Musical Documents

The document is the patch cable between AI, UI, audio, export, tests, and
future tools. It is the thing the AI produces that can be validated and replayed.

The current document families are:

| Document | File | Used for |
| --- | --- | --- |
| `pattern` | `lib/pattern/schema.ts` | Sample sequencing, slicing, grid traversal, drum machines, microtonal sample patterns. |
| `synth-scene` | `app/tools/evolving-fm-synth/lib/schema.ts` | Multi-voice synth scenes, FM/wavetable patches, macro evolution, MIDI export. |
| `midi-clip` | `app/tools/midi-generator/lib/schema.ts` | Discrete MIDI notes, tracks, channels, pitch bend, CC data, long-form MIDI generation. |
| `visual-scene` | `lib/visualizers/schema.ts` | Audio-reactive fullscreen visuals driven by FFT bands, waveform RMS, centroid, flux, onset, beat, and bounded motion. |
| `audio-stream` | Manifest/document convention plus tool-local patch schemas | Effects, analysis, time-stretching, live input or rendered audio transformation. |
| `files` | L2 builder output | Generated source files and manifests. |

### Pattern

`PatternSchema` is the core sample-sequencing document.

It contains:

- `bpm`, `swing`, `bars`, and `stepsPerBar`.
- Tracks with `sampleId`, role, slot, choke group, gain, pan, mute, and solo.
- Steps with active state, velocity, probability, micro shift, pitch semitones,
  optional `pitchCents`, optional `tuningRef`, playback rate, decay, reverse,
  repeats, and conditions such as `everyN`, `firstOfN`, and `notFirstOfN`.
- Metadata that records source samples, creator, rationale, and tags.

Pattern tools can render to live playback through `PatternEngine` and to WAV
through `lib/audio/wav-render.ts`.

### SynthScene

`SynthSceneSchema` is the core synth document.

It contains:

- Global musical settings: BPM, swing, key, scale, bars, steps per bar, seed.
- Macro controls: evolution, mutation depth, brightness, dub space, density,
  and analog drift.
- Effects: filter, delay, reverb, chorus, drive, and master level.
- Voices with roles such as bass, chord, stab, lead, and texture.
- Voice patches with partials, root waveform, modulation index, harmonicity,
  modulation wave, detune, and envelopes.
- Steps with MIDI note, tuning cents, velocity, probability, length, micro shift,
  modulation shift, and partial morph.
- Metadata for prompt, rationale, influences, agent plan, and research basis.

SynthScene tools can render live sound, offline WAV artifacts, and Standard MIDI
files when the timeline is discrete.

### MidiClip

`MidiClipSchema` is the dedicated MIDI document.

It contains:

- BPM, swing, key, scale, bars, beats per bar, steps per bar, and seed.
- Tracks with role, channel, and mute state.
- Notes with MIDI pitch, start beat, duration, velocity, channel, pitch-bend
  cents, and optional CC events.
- Generation mode and style profile metadata.

The MIDI generator uses this to create long-form Standard MIDI files while also
offering a simple sine preview so the clip can be auditioned in the browser.

### Audio Stream

`audio-stream` is used for tools whose primary artifact is audio transformation
or audio analysis rather than a note grid. Examples include:

- `sample-analysis`, which measures and annotates an audio source.
- `time-stretch`, which renders a stretch/freeze/bloom patch over a sample.
- generated effects such as `harmonic-distrotion-effect`, which declare an
  audio-stream effect patch and recordable output.

Audio-stream tools still need explicit manifests, bounded controls, and export
contracts. They should not pretend to be Pattern or SynthScene tools.

### VisualScene

`VisualizerSceneSchema` is the audio-reactive visual document in
`lib/visualizers/schema.ts`.

It contains:

- Source selection for `live-audio`, uploaded `audio-file`, or `microphone`
  analyser input.
- Canvas mode and palette choices for spectral bloom/fabric, frequency crowns,
  radial bloom, particle field, waveform ribbon, and tunnel visuals.
- Audio feature mapping for RMS, peak, bass, mids, air, centroid, flux, onset,
  and beat.
- Bounded motion, zoom, rotation, warp, and micro-fluctuation parameters.
- Automation entries that map measured audio features into visual targets.

Visualizer tools can render live from a built-in Web Audio source, a recorded
file, or microphone input. They should keep visual movement tied to analyser
features and use micro fluctuation only as a subtle secondary layer.

## L1 Instruments

Installed L1 tools live under `app/tools/<slug>/` and export a validated
`agentManifest`.

Current installed L1 surfaces:

| Tool | Type | Document | What it is |
| --- | --- | --- | --- |
| `intelligence-sampler` | sample | pattern | Prompt-assisted sample slicing and patterning. |
| `splice-lab` | sample | pattern | Multi-source interleaving and rhythmic splice loops. |
| `grid-sampler` | sample | pattern | Directional 2D sample-grid traversal. |
| `drum-machine` | sample | pattern | Probability and condition driven one-shot sequencing. |
| `evolving-fm-synth` | synth | synth-scene | Prompted FM/wavetable scenes, macro editing, WAV render, MIDI export, FX slots. |
| `camera-theremin` | synth | synth-scene | Prompt-selectable hand, gesture, face, eye, and body tracking mapped into a scale-locked continuous synth. |
| `sample-analysis` | sample | audio-stream | Upload/library analysis with DSP features, AI descriptors, production ideas, and audition. |
| `midi-generator` | midi | midi-clip | Prompt-driven MIDI clips with global context sync, sine preview, visualization, and Standard MIDI export. |
| `time-stretch` | hybrid | audio-stream | Prompted sample stretching, spectral freeze, subharmonic bloom, render, and recording. |
| `audio-visualizer` | visualizer | visual-scene | Prompted fullscreen spectral patterns for live generated audio, uploaded files, or microphone input. |

Current generated L1 examples:

| Tool | Type | Document | What it proves |
| --- | --- | --- | --- |
| `sine-wave-synth` | synth | synth-scene | Generated SynthScene tool with audio and MIDI export. |
| `harmonic-distrotion-effect` | effect | audio-stream | Generated effect tool with audio-stream patch and recording/export path. |

Generated examples follow the same route and manifest contract as installed L1
tools after they pass the generated-tool registration gates.

## L2 Builders

L2 builders are instrument factories. They are not user-facing synths; they are
workflows that create or rebuild L1 instruments.

The general builder is `/build`. Specialized builder profiles live in
`lib/agents/builder-profiles.ts` and mount at:

- `/build/sample`
- `/build/synth`
- `/build/effect`
- `/build/hybrid`
- `/build/microtonal`
- `/build/visualizer`

Each profile constrains:

- Target instrument type.
- Target document type: `pattern`, `synth-scene`, `audio-stream`, or
  `visual-scene`.
- Target workflow label.
- Primary reference tool.
- Secondary reference tools.
- Template kit.
- Generated manifest requirements.
- Verification gates.
- Sandbox root.
- Music context expectations.
- Domain-specific constraints.

The specialized profiles make the framework feel less like "ask an LLM to make
anything" and more like "patch a specific builder module into the rack."

### Builder Domains

| Builder | Route | Target | Document | Reference |
| --- | --- | --- | --- | --- |
| General builder | `/build` | sample, synth, effect, hybrid, or visualizer | inferred | chosen from request |
| Sample Pattern Builder | `/build/sample` | sample | pattern | `intelligence-sampler`, with `splice-lab`, `drum-machine`, `grid-sampler` as secondary references |
| Synth Scene Builder | `/build/synth` | synth | synth-scene | `evolving-fm-synth` |
| Audio Stream Effect Builder | `/build/effect` | effect | audio-stream | `evolving-fm-synth`, `splice-lab` |
| Sample-Informed Synth Builder | `/build/hybrid` | hybrid | synth-scene | `evolving-fm-synth`, `intelligence-sampler` |
| Microtonal Sample Builder | `/build/microtonal` | sample | pattern | `intelligence-sampler`, `evolving-fm-synth` |
| Audio Visualizer Builder | `/build/visualizer` | visualizer | visual-scene | `audio-visualizer`, with `sample-analysis`, `time-stretch` as secondary references |

### Create Flow

The create path is:

1. User opens `/build` or a specialized builder route.
2. Client posts a `BuildToolRequest` to `/api/build`.
3. `handleBuildRequest` validates the request with `BuildToolRequestSchema`.
4. By default, `runBuilderAgent` creates a deterministic generated L1 from the
   canonical skeleton for the requested sample, synth, effect, hybrid, or
   visualizer target.
5. If `TOOLPA_JS_BUILDER_MODE=tool-loop` is set, `runBuilderToolLoopAgent` starts
   an AI Gateway tool-loop agent that reads tool lists, reference files, and
   schemas; instantiates a skeleton; edits files in the sandbox; and runs gates.
6. The server validates the manifest again.
7. If registration is enabled, `registerTool` runs the full verification
   gauntlet and updates `.audit/generated-tools.json`.
8. The UI receives NDJSON chunks for decisions, tool calls, files, manifest,
   verification, completion, or errors.

### Rebuild Flow

The rebuild path is:

1. `/dashboard` links generated tools to `/build?edit=<slug>`.
2. `/build` preloads the registry manifest and opens rebuild mode.
3. The client posts a `BuildToolEditRequest` to `/api/build/edit`.
4. `runBuilderEditAgent` reads the existing generated tool and edits inside the
   existing tool sandbox.
5. The agent does not instantiate a new skeleton and does not change the slug.
6. The server validates the manifest, runs the syntax/static audit, typecheck,
   tests, browser audio gate, snapshots files, updates the registry, and streams
   verification chunks back to the UI.

Registration is not left solely to the model. The server re-validates and
re-registers after a successful create or edit when registration is enabled. The
model can write files only through the sandbox; `.audit/generated-tools.json` is
rewritten server-side from the validated manifest.

## Generated Tool Contract

Generated tools must be rebuildable from source and registry metadata.

Every generated L1 should have:

- `app/tools/<slug>/manifest.ts`
- `app/tools/<slug>/page.tsx`
- `app/tools/<slug>/client.tsx`
- `app/tools/<slug>/render.ts` exporting `renderOffline(document, durationSec)`
  where offline audio verification is expected.
- `app/tools/<slug>/render.audio.test.ts` exercising the browser audio gate.
- At least one colocated `*.test.ts` or `*.test.tsx`.
- A registry entry in `.audit/generated-tools.json`.
- A snapshot under `.audit/snapshots/<slug>/` after registration.
- A route matching `/tools/<slug>`.
- A valid `AgentManifestSchema` with `origin: "generated"` and `level: 1`.
- Manifest `exports` for declared audio and MIDI outputs.
- A prompt-first UI layout.
- Prompt-memory logging for any prompt application path.
- A visible document/artifact path, not only hidden sound generation.

Generated tools are accepted only when their code, manifest, route, tests,
audio gate, and registry metadata line up.

## AI Generation Architecture

AI enters the platform through bounded contracts.

The default AI Gateway model is:

```bash
AI_GATEWAY_MODEL=deepseek/deepseek-v4-flash
```

Set `AI_GATEWAY_API_KEY` in `.env.local`, or use Vercel OIDC auth in
deployment. To switch models, copy a model ID from the
[Vercel AI Gateway model catalog](https://vercel.com/ai-gateway/models) or the
unauthenticated `https://ai-gateway.vercel.sh/v1/models` endpoint and set
`AI_GATEWAY_MODEL` to that exact value.

Gateway configuration lives in `lib/ai/gateway.ts`.

AI is used in several distinct modes:

- L1 document generation: create or mutate Pattern, SynthScene, MidiClip, or
  VisualScene documents from prompts.
- L1 contextual suggestions: use sample metadata, analysis summaries, global
  context, and prompt history to suggest useful musical directions.
- L1 descriptor enrichment: annotate measured audio analysis with human-facing
  timbre, mood, genre, and use-case descriptors.
- L2 source generation: generate or edit L1 instrument source files inside a
  sandbox, then run the verification gauntlet.

### Local Fallbacks

AI is important, but the platform should not become silent when the model path
fails. Several L1 tools keep deterministic local generation paths so the UI can
remain playable through gateway timeouts or missing keys.

For example:

- SynthScene tools preserve a playable local scene when gateway enhancement
  fails.
- Sample tools can keep measured analysis and local playback independent of
  descriptor enrichment.
- MIDI generation has a structured schema and preview path that can be tested
  without depending on the model.

### Prompt Context

Good generated output depends on giving the model musical context instead of
asking for unbounded text.

Common context sources:

- Global BPM, swing, key, scale, and reference frequency.
- Selected library sample metadata.
- Upload or library sample analysis.
- Active Pattern, SynthScene, MidiClip, VisualScene, or patch document.
- Instrument manifest capabilities.
- Reference tool files for L2 builds.
- Builder profile constraints and verification gates.

## Prompt Memory Ledger

Every prompt path writes a local audit entry under `.memory/prompts/`.

The directory is intentionally gitignored. It is for local continuity across
sessions, debugging, and future agents that need to inspect exactly what was
asked of a tool without committing private creative prompts to the repo.

Prompt memory entries are newline-delimited JSON files named by day:

```text
.memory/prompts/YYYY-MM-DD.ndjson
```

Each entry includes a timestamp, source, action, optional tool slug, the user
prompt, and when available the resolved system/model prompt plus metadata such
as sample IDs, builder profile, model, tempo, or selected document state.

The shared implementation lives in:

- `lib/prompt-memory/server.ts` for server-side filesystem writes.
- `app/api/prompt-memory/route.ts` for browser-only prompt surfaces that need
  to append to local memory.
- `lib/prompt-memory/client.ts` for best-effort client logging.

Existing prompt surfaces log through this layer:

- `/api/generate`, `/api/synth`, `/api/suggestions`, `/api/copilot`,
  `/api/sample-analysis`, and the global tempo/scale endpoints.
- AI SDK calls in `lib/ai/*`, `lib/music/*`, and L2 builder agents.
- Deterministic browser prompt tools such as MIDI Generator, Time Stretch,
  Camera Theremin, Drum Machine geometry prompts, generated local effect
  patches, and Audio Visualizer scenes.

Set `TOOLPA_PROMPT_MEMORY_DIR` to relocate the log directory. Set
`TOOLPA_PROMPT_MEMORY_DISABLED=1` to disable writes for tests or one-off runs.

## Audio Architecture

The audio layer is split by document type.

### Pattern Playback

`PatternEngine` in `lib/audio/pattern-engine.ts` is the main sample-pattern
playback layer.

It:

- Uses Tone.js and a shared Tone transport.
- Resolves sample IDs through the sample resolver.
- Builds Tone parts from serialized Pattern events.
- Handles probability, conditional steps, pitch, reverse, repeats, choke
  groups, gain, pan, swing, and micro-shift style timing.
- Supports live pattern updates by replacing Tone parts while keeping the output
  graph when compatible.
- Owns output through `createToneFxGraph()`.
- Publishes playback trace events for UI inspection.
- Uses `transport-owner` to prevent one engine from stopping Tone transport
  while another engine is active.

Pattern export uses `lib/audio/wav-render.ts` and
`lib/tool-exports/adapters/pattern.ts`.

### Synth Playback

Synth paths are centered on SynthScene data.

`evolving-fm-synth` is the reference installed synth:

- Prompt and local generation create SynthScene documents.
- The UI exposes macro editing and visible voice/step state.
- Playback turns voices and steps into Web Audio/Tone scheduling.
- `lib/audio/synth-wav-render.ts` renders scenes offline for WAV export.
- `lib/midi/synth-scene.ts` converts active discrete steps to Standard MIDI.
- Shared FX slots can be applied to live and offline render paths.

`camera-theremin` is intentionally different. It is a continuous performance
synth controlled by MediaPipe tracking, so it records live audio instead of
claiming a stable MIDI timeline.

### Audio-Stream Tools

Audio-stream tools process or analyze audio instead of representing a discrete
note grid.

They should:

- Keep patch parameters bounded and serializable.
- Expose live or rendered audio output.
- Expose recording or WAV export where appropriate.
- Avoid pretending their output is Pattern or SynthScene unless they actually
  emit that document type.

### Browser Audio Rules

Browser audio has platform constraints:

- Audio should start from an explicit user action.
- Scheduled callbacks should use the audio-context time passed to the callback.
- Web Audio nodes should be created inside client/runtime paths, not as unsafe
  module-level side effects.
- Generated tools should keep audio graph, UI state, and saved document
  contracts explicit.

The platform encodes these rules through shared components, static audits, and
browser audio tests.

## FX Architecture

FX are shared framework modules, not per-tool one-off state.

The FX manifest lives in `lib/audio/fx-manifest.ts`.

It defines:

- FX slot IDs: `A`, `B`, `C`, `D`.
- Effect kinds such as repeat, chorus, delay, reverb, reverse reverb, Yamaha
  SPX-style algorithms, FX500-style chains, Motif-style effects, A3000-style
  degradation, and E-mu-style morphing.
- Effect families, tags, models, parameter manifests, defaults, and wet amounts.
- Probability automation for slot wetness over time.
- `FxPatternSchema`, the serializable state for a tool's FX slots.

Runtime graph construction lives in `lib/audio/fx-chain.ts`, and shared UI lives
in `components/fx-slot-panel.tsx`.

Generated tools should use the shared FX contract instead of inventing their own
unbounded effect state.

## Sample Library And Analysis

Sample-facing tools share the `SamplePicker` component and the library contract
in `lib/samples/library.ts`.

The committed library is intentionally curated:

- Base library samples point at committed audio files under `public/samples/**`.
- The curated suite in `lib/samples/curated-suite.ts` adds genre, kind, tags,
  and source-path metadata.
- The app never reads the local archive at runtime. It serves only committed
  `public/samples/**` files.

The curated suite is rebuilt from the local sample archive with:

```bash
pnpm curate:samples
pnpm curate:samples:check
```

By default the script reads:

```text
/Users/saarimzaman/Documents/Audio Samples
```

Use a different archive root with:

```bash
AUDIO_SAMPLES_ROOT=/path/to/archive pnpm curate:samples
```

### Sample Resolution

Samples come from:

- Static public library samples.
- Browser-local uploads stored in IndexedDB through `lib/samples/storage.ts`.

Resolution:

- Library samples are fetched by committed public `href`.
- Uploaded samples are loaded from IndexedDB.
- Decoded `AudioBuffer` promises are cached by the resolver.

### Sample Analysis

Sample analysis starts in `lib/samples/analysis/index.ts`.

The flow:

1. Library samples resolve through `assertLibrarySample(...)`.
2. Uploads are stored in browser IndexedDB.
3. `getSampleSchema(sampleId)` first checks the baked library cache for
   committed library samples.
4. Uploads and uncached samples are loaded as audio bytes and cached by SHA-256
   after analysis.
5. Browser uploads first try `/api/analyze-upload`, which accepts WAV bytes,
   decodes them in Node, and runs the Essentia pipeline.
6. If that server path is unavailable or cannot decode the file, the browser
   falls back to the local Web Audio/DSP pipeline.
7. The DSP output is validated by `SampleAnalysisSchema`.

Measured analysis includes:

- Source format, duration, channels, sample rate, and SHA-256.
- Loudness, true peak, RMS, crest factor, stereo width, silence, and DC offset.
- Spectral centroid, rolloff, flatness, flux, and MFCCs.
- Tonal chroma, key, scale, key strength, and tuning.
- BPM, BPM confidence, beat offset, onsets, onset rate, and swing ratio.
- Envelope data.
- Slice and beat features.
- Inferred role and role confidence.
- Optional model tags.
- Optional LLM descriptors.

`/tools/sample-analysis` deliberately shows measured analysis before AI work.
The client calls `getSampleSchema(..., { enrichDescriptors: false })` for a
fast baseline, then runs descriptor enrichment and production-use ideas
separately.

`/api/sample-analysis` requires the AI Gateway and can run `descriptors`,
`ideas`, or `all`. It annotates the validated analysis instead of replacing the
measured features.

The baked analysis cache lives at `lib/samples/analysis-cache.json` and is
generated from committed public samples:

```bash
pnpm analyze:library
pnpm analyze:library:check
```

The default cache scripts skip MusiCNN so cache generation stays deterministic
and fast enough for normal verification. Use this only when intentionally
rebuilding the library cache with the slower model-tagging path:

```bash
pnpm analyze:library:musicnn
```

## MIDI And Export Architecture

MIDI and audio exports are first-class framework artifacts.

Export declarations live in `lib/tool-exports/contract.ts`.

The platform currently supports:

- `offline-render`: render a document to WAV without requiring a live take.
- `live-recording`: record live browser audio output to WAV.
- `source-audio`: expose source audio where appropriate.
- `standard-midi-file`: export SMF type 1 MIDI with track preservation.

### MIDI

The MIDI framework lives in `lib/midi/`.

- `lib/midi/export.ts` writes deterministic Standard MIDI Files with tempo,
  4/4 timing, note on/off events, velocity, channel assignment, CC data where
  supported, and pitch-bend cents where supported.
- `lib/midi/synth-scene.ts` converts audible active SynthScene steps into MIDI
  notes and provides the browser download helper used by L1 synth surfaces.
- `app/tools/midi-generator/lib/export.ts` converts MidiClip documents into
  MIDI files.
- Synth and hybrid generated-tool templates include MIDI export next to WAV
  export when their document is a discrete SynthScene.

Continuous live gestures such as camera theremin are intentionally not exported
as fake MIDI timelines.

### Tool Export Panel

`components/tool-export-panel.tsx` is the shared artifact surface.

Generated and installed tools should route portable actions through shared
adapters when possible:

- Pattern to WAV: `lib/tool-exports/adapters/pattern.ts`
- SynthScene to WAV and MIDI: `lib/tool-exports/adapters/synth-scene.ts`
- MidiClip to MIDI: `lib/tool-exports/adapters/midi-clip.ts`
- Audio stream/source artifacts: `lib/tool-exports/adapters/audio-stream.ts`

This keeps export behavior aligned with manifest `exports` declarations.

## Dashboard And Audits

`/dashboard` is the primary catalog and health surface.

It provides:

- Primary filters for installed L1 tools, generated L1 tools, and L2 builders.
- Secondary filters by tool type and document type.
- Generated-tool audit status for manifest, route, test, audio gate, export,
  and registry alignment.
- L1/L2 platform-hardening status for prompt input, serializable documents,
  audio/MIDI output, recording, route shape, sandbox, and builder verification
  gates.
- Rebuild links for generated L1 tools through `/build?edit=<slug>`.
- A visible gateway warning when `AI_GATEWAY_API_KEY` or Vercel OIDC auth is not
  configured.
- Global music controls for BPM, swing, key, scale, and reference frequency.

### Runtime Registry

`getAgentManifests()` in `lib/agents/registry.ts` merges:

1. `.audit/generated-tools.json` via `readGeneratedAgentManifests()`.
2. In-tree `app/tools/*/manifest.ts` via `readInTreeAgentManifests()`.

The manifests are keyed by slug and sorted for display.

### Generated Tool Audit

`createGeneratedToolAudit()` in `lib/agents/generated-audit.ts` checks generated
tools against both:

- Registered generated manifests in `.audit/generated-tools.json`.
- In-tree generated manifests under `app/tools/*/manifest.ts`.

With file checks enabled, it verifies:

- The generated tool is registered.
- The in-tree manifest exists.
- Manifest, registry, and route metadata match.
- Prompt input exists.
- The declared document output exists.
- Audio and MIDI export contracts exist when outputs are declared.
- Route file, manifest file, tests, offline renderer, and browser audio gate
  test exist.
- Shared global music context is declared where expected.

### Platform Hardening Audit

`createPlatformHardeningAudit()` in `lib/agents/platform-hardening.ts` checks
all runtime manifests against platform rules.

It encodes these conventions:

- Every L1 exposes a Pattern, SynthScene, MIDI clip, visual-scene, or
  audio-stream document instead of hiding output only inside transient Web Audio
  nodes.
- Manifest, audio behavior, and UI route stay explicit so generated tools can
  be loaded, inspected, and rebuilt.
- Playable L1s expose bounded prompt/audio controls, recording when relevant,
  and user-triggered audio output.
- L2 builders validate manifests, static safety, tests, audio-gate output,
  registry metadata, and sandbox scope before a generated L1 becomes part of
  the suite.
- Prompt controls render immediately after required source/context selectors
  and before playback, transport, export, or deep editing controls.

## Prompt-First UI Contract

All L1 instruments are arranged around prompt-first control order.

Required source or context selectors can appear first. After that, the
tool-specific prompt surface must appear before playback, transport, export, and
deep manual editing controls.

L2 builders follow the same rule with the natural-language build or rebuild
description as the first editing surface.

The reason is product-level, not cosmetic: AI is the creative front panel of the
framework. Manual editing is still important, but it should refine or inspect
the generated document after the prompt creates a musical direction.

Any new prompt-first surface must also write prompt memory. Server-backed tools
should log at the route or AI SDK boundary. Browser-only deterministic tools
should call `logClientPromptMemory()` when the prompt is applied.

## Verification Gauntlet

The project follows the rule: verify before claiming done.

Generated registration is gated in `lib/agents/builder-tools.ts`.

`registerTool()` runs:

1. `validateManifest`: parses `app/tools/<slug>/manifest.ts` through
   `AgentManifestSchema`.
2. `runToolStaticAudit`: checks required files, the client boundary,
   disallowed imports/storage/exfiltration primitives, module-level audio
   construction, and placeholder output.
3. `runToolTypecheck`: runs a scoped per-tool `tsc --noEmit` config.
4. `runToolTests`: runs scoped Vitest unit coverage for the generated tool.
5. `runToolAudioGate`: runs `render.audio.test.ts` in the browser audio project,
   calls `renderOffline`, and analyzes RMS, peak, NaN/Infinity, clipping, and
   duration through `lib/audio/offline-analysis.ts`.
6. `snapshotGeneratedTool`: stores accepted generated files under
   `.audit/snapshots/<slug>/`.
7. `writeGeneratedAgentManifest`: updates `.audit/generated-tools.json`.

The expected result is a generated instrument that is not merely present in the
filesystem but demonstrably loadable, typed, tested, renderable, audible, and
registered.

## Deployment Model

### Local Writable Workstation

The full builder workflow needs a writable project filesystem.

Use local dev mode when:

- Creating generated L1 instruments.
- Rebuilding generated L1 instruments.
- Running L2 builders.
- Updating `.audit/generated-tools.json`.
- Creating `.audit/snapshots/<slug>/`.
- Iterating on new route files under `app/tools/<slug>/`.

Command:

```bash
pnpm dev --port 3010
```

### Frozen Viewer Deployment

Vercel can host a demo/viewer build, but it cannot run the current full builder
workflow. Vercel can bundle and read committed files such as
`.audit/generated-tools.json` and `app/tools/*/manifest.ts`, but serverless
functions do not provide the writable project filesystem and build-time route
updates that the builder needs.

Use these settings for a demo deployment:

- Root directory: this repo.
- Install command: `pnpm install --frozen-lockfile`.
- Build command: `pnpm build`.
- Environment variables: `AI_GATEWAY_API_KEY`, and optionally
  `AI_GATEWAY_MODEL`.
- Treat `/build` as demo-only unless the architecture changes.

To support the builder on Vercel, the app needs a different write/deploy model:

- Write generated tools to GitHub and redeploy from the committed branch.
- Replace source-file-generated tools with a dynamic `/tools/[slug]` renderer
  backed by storage.
- Run the current app on a writable machine/container instead of serverless
  functions.

## Development Commands

Install and run:

```bash
pnpm install --frozen-lockfile
pnpm dev --port 3010
```

Open:

```text
http://localhost:3010/dashboard
```

Focused checks while changing builder or dashboard behavior:

```bash
pnpm test:unit app/dashboard/tool-suite-dashboard.test.tsx app/tools/_builder/client.test.tsx lib/agents/builder-profiles.test.ts lib/agents/generated-audit.test.ts lib/agents/registry.test.ts lib/agents/contract.test.ts app/api/build/edit/handler.test.ts
```

Full repo checks before handoff:

```bash
pnpm test:unit
pnpm typecheck
pnpm lint
```

Audio-gate checks:

```bash
pnpm test:audio
```

Sample library and analysis cache checks:

```bash
pnpm curate:samples:check
pnpm analyze:library:check
```

Build check:

```bash
pnpm build
```

## How To Extend The Framework

### Add A New Installed L1 Instrument

Use this when the instrument is hand-authored platform code rather than an L2
generated tool.

1. Create `app/tools/<slug>/manifest.ts`.
2. Declare `level: 1`, `origin: "installed"`, route `/tools/<slug>`, instrument
   type, document type, inputs, outputs, exports, music context, capabilities,
   autonomy, and status.
3. Create `page.tsx` and `client.tsx`.
4. Use an existing document schema where possible: Pattern, SynthScene,
   MidiClip, VisualScene, or audio-stream patch.
5. Route audio through shared audio helpers where possible.
6. Use `SamplePicker`, `ToolExportPanel`, `AudioOutputRecorder`, FX slots, and
   global music context when relevant.
7. Add colocated tests.
8. Run platform audits, unit tests, typecheck, lint, and any audio tests.

### Generate A New L1 Instrument With An L2 Builder

Use this when the instrument should be created by the AI builder workflow.

1. Open `/dashboard`.
2. Choose `build L1 tool` or a specialized builder.
3. Write a brief that describes the instrument, not only the UI.
4. Prefer concrete musical contracts: document type, sample roles, scale
   behavior, voices, MIDI export, FX slots, recording, and expected controls.
5. Let the builder read references, instantiate a skeleton, edit generated
   files, and run gates.
6. If verification fails, treat the failure as design feedback and rebuild or
   edit until gates pass.
7. Confirm the generated tool appears under generated L1 tools and can be
   rebuilt through `/build?edit=<slug>`.

### Add A New L2 Builder Domain

Use this when a new family of generated instruments needs its own constraints.

1. Add a domain to `BuilderProfileDomainSchema`.
2. Add a profile blueprint in `lib/agents/builder-profiles.ts`.
3. Choose target instrument type, document type, workflow, reference agent,
   template kit, sandbox root, capabilities, music context, steps, gates, and
   constraints.
4. Add or reuse a template in `lib/agents/templates/tool-skeleton/`.
5. Add route wiring under `/build/<domain>`.
6. Update platform-hardening expected targets if needed.
7. Add tests for profile creation, manifest registration, and audit behavior.

### Add A New Musical Document Primitive

Use this only when Pattern, SynthScene, MidiClip, VisualScene, and audio-stream
patch documents cannot represent the instrument honestly.

1. Define a Zod schema and type for the document.
2. Add a manifest document enum value in `InstrumentDocumentSchema`.
3. Add output mapping in generated and platform audits.
4. Add playback or processing engine support.
5. Add export declaration and adapters.
6. Add builder template support if L2 should generate tools of that type.
7. Add tests for schema validation, playback/export, audits, and generated
   registration.

### Add A New Export Type

1. Extend `ExportStrategySchema` and the relevant declaration schema.
2. Add artifact creation helpers.
3. Add adapters for the document types that support it.
4. Update `ToolExportPanel` only if the UI needs a new action.
5. Update manifest export hardening.
6. Add tests for generated and installed tools that declare the export.

### Add New Samples

1. Add committed files under `public/samples/**`.
2. Add library entries in `lib/samples/library.ts` or regenerate the curated
   suite.
3. Run `pnpm curate:samples:check`.
4. Rebuild analysis cache with `pnpm analyze:library` when the sample should
   have baked analysis.
5. Run `pnpm analyze:library:check`.

## Design Principles

The framework favors:

- Manifest-first identity.
- Serializable musical documents.
- Prompt-first creative control.
- Explicit Web Audio boundaries.
- Shared global BPM/key/scale context.
- Shared sample, FX, export, and recording surfaces.
- Generated source that can be inspected and rebuilt.
- Sandbox writes for L2 tools.
- Verification before registration.
- Local deterministic fallback when AI services fail.
- Honest document types: sample tools output Pattern, synth tools output
  SynthScene, MIDI tools output MidiClip, visualizers output VisualScene, and
  effects output audio-stream patches.

The framework avoids:

- Hiding all musical output inside transient audio nodes.
- Letting generated tools bypass registry metadata.
- Claiming MIDI export for continuous gestures that do not have a stable note
  timeline.
- Letting effects masquerade as Pattern or SynthScene generators.
- Unbounded generated DSP parameters.
- Source generation outside the generated-tool sandbox.
- Treating a model response as successful before tests and audio gates pass.

## Glossary

| Term | Meaning |
| --- | --- |
| L1 | A playable instrument, generator, effect, analyzer, or MIDI tool. |
| L2 | A builder that creates or rebuilds L1 tools. |
| Agent manifest | The typed identity and capability contract for a tool. |
| Pattern | Serializable sample sequencing document. |
| SynthScene | Serializable multi-voice synth document. |
| MidiClip | Serializable discrete MIDI document. |
| VisualScene | Serializable audio-reactive visualizer document. |
| Audio stream | Serializable or bounded audio processing/analysis patch family. |
| Generated registry | `.audit/generated-tools.json`, the accepted generated tool registry. |
| Snapshot | `.audit/snapshots/<slug>/`, accepted generated source at registration time. |
| Prompt-first | UI ordering where source/context selectors come first, then prompt, then playback/export/manual editing. |
| Audio gate | Browser OfflineAudioContext verification that rendered output is audible, finite, unclipped, and the expected duration. |
| Platform hardening | Repo-level audit that checks L1/L2 manifests against workstation rules. |
| Builder profile | A specialized L2 domain contract that constrains what kind of L1 tool can be generated. |

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