Apple Music

Build me a focused music services and creator audio tools workflow for the personal core of Apple Music. Requirements:

- Use Python 3.12, FastAPI, SQLite, ffmpeg, and a local web interface. Model owned tracks, file hashes, metadata, playlists or sessions, playback positions, and exports.
- Paid product context: Serve a legally owned personal music library across a private network. Build only this DIY scope: Organize legally owned or user-created tracks, index and analyze local files, and serve private playback of a personal music library across a private network.
- For music services and creator audio tools, index legally owned tracks with file hashes, album metadata, and stable IDs.
- Offer private playback and track play position or playlist changes without modifying the source files.
- Export playlists and a library manifest for local restore.
- Use a local web page with input, progress, review, and export views. Required input or access: legally owned local audio files; ffmpeg.
- Recovery: A missing track keeps its library entry and error state; a restore must preserve playlist order and track IDs.
- Acceptance: with one labelled sample, show the input, saved intermediate state, and exported result; verify this invariant: A missing track keeps its library entry and error state; a restore must preserve playlist order and track IDs.
- Out of scope: licensed catalog, Apple ecosystem, spatial audio, recommendations, rights, and global streaming; licensed music catalog. Keep this a personal, inspectable workflow.
- Include a README with setup, a sample input, required keys or permissions, data location, and the supported scope.

# AGENTS.md — Build guide for Apple Music

## Project scope
Organize legally owned or user-created tracks, index and analyze local files, and serve private playback of a personal music library across a private network.

Catalogue verdict: no. A consolation build is possible, but the paid product's decisive value sits outside a solo rebuild. For Apple Music, serve a legally owned personal music library across a private network. The hard boundary is licensed catalog, apple ecosystem, spatial audio, recommendations, rights, and global streaming, plus licensed content, rights, and distribution network.
Use the implementation prompt below to define the deliverable. Complete each phase's acceptance checks before extending the scope.

## Working agreement
- Inspect the repository and its existing instructions before choosing paths, dependencies or commands. Keep one coherent stack and explain changes to the proposed architecture.
- Plan a vertical slice that accepts a real input and produces the useful output described below. Persist only the state the prompt calls for; respect memory-only and upstream-managed workflows. Use fixtures only when they are clearly labelled.
- After scaffolding, document the actual install, development, check and build commands in README and keep them synchronized with the package or project manifest. Do not report commands as successful unless they ran.
- Work in small steps. At handoff, list implemented flows, checks actually performed, remaining blockers, and any credentials or provider setup the owner must supply.
- Do not publish, spend money, contact customers, delete source data or run irreversible migrations without the project owner's authorization.

## Prerequisites
- legally owned local audio files
- ffmpeg
- local storage
- optional audio-analysis models

## Stack and architecture
- Use Python 3.12, FastAPI, SQLite, ffmpeg, and a local web interface.
- Model owned tracks, file hashes, metadata, playlists or sessions, playback positions, and exports.
- Interface for this music services and creator audio tools workflow: a local web page with input, progress, review, and export views.

## Security and data integrity
- A missing track keeps its library entry and error state; a restore must preserve playlist order and track IDs.
- Validate imported records and file paths; keep user data within the storage location named in the prompt.
- State the practical limit: licensed catalog, Apple ecosystem, spatial audio, recommendations, rights, and global streaming.

## Agent implementation rules
- Project rule, data: Model owned tracks, file hashes, metadata, playlists or sessions, playback positions, and exports.
- Project rule, behavior: For music services and creator audio tools, index legally owned tracks with file hashes, album metadata, and stable IDs.
- Project rule, recovery: A missing track keeps its library entry and error state; a restore must preserve playlist order and track IDs.

## Optional agent skills and references
No installable skill is listed for this guide; use the project rules and the stack documentation.

Read the linked SKILL.md and its dependencies before adding a skill. Select only the skills matching this project's runtime and task; their documentation does not supply API access, credentials or approval to perform external actions. Pin the reviewed revision where the tool supports it. Follow the chosen agent's documented project-level installation mechanism.

## Distribution ideas
These are optional planning notes. Obtain the owner's approval before publishing or contacting anyone.
- Demonstrate this music services and creator audio tools operation with sample or user-owned data: For music services and creator audio tools, index legally owned tracks with file hashes, album metadata, and stable IDs.
- Show a concrete result or export: Export playlists and a library manifest for local restore.
- State the practical limit: licensed catalog, Apple ecosystem, spatial audio, recommendations, rights, and global streaming.

## Engineering roadmap
1. Phase 1, architecture and data: Use Python 3.12, FastAPI, SQLite, ffmpeg, and a local web interface. Model owned tracks, file hashes, metadata, playlists or sessions, playback positions, and exports.
2. Phase 2, implement: For music services and creator audio tools, index legally owned tracks with file hashes, album metadata, and stable IDs.
3. Phase 3, implement: Offer private playback and track play position or playlist changes without modifying the source files.
4. Phase 4, review and output: Export playlists and a library manifest for local restore.
5. Phase 5, recovery and acceptance: Verify this invariant with a saved fixture: A missing track keeps its library entry and error state; a restore must preserve playlist order and track IDs. State the practical limit: licensed catalog, Apple ecosystem, spatial audio, recommendations, rights, and global streaming.

## Paid-product capabilities outside this build
- licensed catalog, Apple ecosystem, spatial audio, recommendations, rights, and global streaming
- licensed music catalog
- royalty and distribution relationships
- global streaming infrastructure
- artist network and recommendations

## Implementation prompt
Build me a focused music services and creator audio tools workflow for the personal core of Apple Music. Requirements:

- Use Python 3.12, FastAPI, SQLite, ffmpeg, and a local web interface. Model owned tracks, file hashes, metadata, playlists or sessions, playback positions, and exports.
- Paid product context: Serve a legally owned personal music library across a private network. Build only this DIY scope: Organize legally owned or user-created tracks, index and analyze local files, and serve private playback of a personal music library across a private network.
- For music services and creator audio tools, index legally owned tracks with file hashes, album metadata, and stable IDs.
- Offer private playback and track play position or playlist changes without modifying the source files.
- Export playlists and a library manifest for local restore.
- Use a local web page with input, progress, review, and export views. Required input or access: legally owned local audio files; ffmpeg.
- Recovery: A missing track keeps its library entry and error state; a restore must preserve playlist order and track IDs.
- Acceptance: with one labelled sample, show the input, saved intermediate state, and exported result; verify this invariant: A missing track keeps its library entry and error state; a restore must preserve playlist order and track IDs.
- Out of scope: licensed catalog, Apple ecosystem, spatial audio, recommendations, rights, and global streaming; licensed music catalog. Keep this a personal, inspectable workflow.
- Include a README with setup, a sample input, required keys or permissions, data location, and the supported scope.

## Completion evidence
Demonstrate the prompt's acceptance scenarios against the scoped workflow. Include setup from a clean checkout and failure recovery. Check persistence across restart and export/restore only for the state the prompt says to store; for memory-only tools, confirm that temporary content is discarded as specified. Record actual results and remaining limitations. A detailed plan alone does not establish a working replacement.