Move LLM key to the server, add random-style buttons

Architectural change

The browser no longer talks to the LLM directly. A new Node server
(server.mjs) sits in the middle:

  [Browser] → [Node :3000] → [LLM provider]
    (no key)    (key in .env)

server.mjs is the production runtime: it serves the built SPA out of
dist/ and exposes three JSON endpoints that proxy to the LLM with
credentials held in process.env. The browser-side llm.ts is now a thin
fetch wrapper.

- server.mjs: single-file Node server, no production deps
- server/prompts.mjs: system + user prompt construction (was client-side)
- src/lib/prompts.ts removed (moved server-side)
- src/lib/llm.ts rewritten — no more direct LLM calls, no more
  JSON extraction, no more validation; just fetch the proxy
- src/lib/types.ts: drop SaveConfigPayload/TestConnectionResult, add
  style_hint and ServerStatus
- vite.config.ts: proxy /api/* → localhost:3000 in dev
- .env.example: LLM_* and PORT/CORS_ORIGIN instead of Supabase values

New feature: random style buttons

The Options → Music style field now has two AI buttons that fill it
with a fresh Suno style description:
- 'Surprise me' → coherent, production-ready style (max 25 words)
- 'Go crazy'   → deliberately clashing genre mashup (max 25 words)

The buttons hit a dedicated /api/style/random endpoint on the server
that uses a small, focused system prompt. Each click overwrites the
field. Both buttons show a spinner and disable while a request is
in flight. Errors surface as toasts. AbortController is used so a
fast second click cancels the first.

When the Music style field is non-empty at generation time, its value
is sent to the model as style_hint and used as the basis for the full
120-word style field (per the updated system prompt).

Other UX

- Settings page is now a server-status page: green/red indicator,
  model + endpoint, re-check button. The API key is no longer
  configurable in the browser (it never was reachable anyway — now
  the UI is honest about that).
- Home page header shows a small 'Server offline' warning when the
  server is unreachable.
- Settings has a Local data section: list what's in localStorage
  with one-click clear-history and clear-all buttons (with confirm).
- Esc cancels any in-flight generation.
- ZIP filename falls back to 'song' if the title sanitizes to empty.

Deployment

deploy/ holds reference files (Dockerfile, docker-compose example,
Caddy fragment, generate-env.sh, README) for adding the service to a
Jannik-Cloud-style stack. The repo is intentionally not wired into
the Jannik-Cloud repo; copy the four files when ready.
This commit is contained in:
2026-06-03 08:01:21 +02:00
parent b945417773
commit d8b25ec6ab
17 changed files with 1597 additions and 759 deletions
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# Multi-stage Dockerfile for MelodyMuse.
#
# This file lives in the MelodyMuse repo under `deploy/` as a reference. To
# add MelodyMuse to a Docker-Compose deployment (including your Jannik-Cloud
# stack), copy this file to your service directory and reference it from
# docker-compose.yml — see `docker-compose.example.yml`.
# Stage 1 — build the SPA
FROM node:20-alpine AS builder
RUN apk add --no-cache git
# Override these at build time if you fork the repo.
ARG REPO_URL=https://git.orfel.de/Jannik/MelodyMuse.git
ARG BRANCH=main
WORKDIR /build
RUN git clone --depth 1 --branch ${BRANCH} ${REPO_URL} .
RUN npm ci
RUN npm run build
# Stage 2 — runtime: just Node + the built assets + the proxy server
FROM node:20-alpine
WORKDIR /app
COPY --from=builder /build/dist ./dist
COPY --from=builder /build/server.mjs ./server.mjs
COPY --from=builder /build/server ./server
COPY --from=builder /build/package.json ./package.json
# server.mjs uses only Node's built-ins — no production deps to install.
# Install nothing here; the image stays small.
ENV NODE_ENV=production
ENV PORT=3000
EXPOSE 3000
# Quick healthcheck so Docker / your orchestrator can detect a broken boot.
HEALTHCHECK --interval=30s --timeout=5s --start-period=5s --retries=3 \
CMD wget -qO- http://localhost:3000/api/health || exit 1
CMD ["node", "server.mjs"]
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# Deploying MelodyMuse
The files in this folder are **reference templates**. MelodyMuse is a single
Node.js server (`server.mjs` in the repo root) that serves the built SPA and
proxies LLM calls. To deploy it you can:
- Run `node server.mjs` directly (after `npm run build`)
- Use the included `Dockerfile` + `docker-compose.yml`
- Copy these into your Jannik-Cloud `services/melodymuse/` directory
## Required environment variables
| Var | Required? | Default | Notes |
|---|---|---|---|
| `LLM_ENDPOINT` | **yes** | — | OpenAI-compatible base URL, e.g. `https://api.minimax.chat/v1` |
| `LLM_API_KEY` | **yes** | — | Provider secret key. **Never** set this in the browser. |
| `LLM_MODEL` | no | `MiniMax-M3` | Model name |
| `PORT` | no | `3000` | Listen port |
| `CORS_ORIGIN` | no | `*` | Set to a specific origin in production if you split SPA and server |
The server refuses to start if `LLM_ENDPOINT` or `LLM_API_KEY` is missing.
## Option 1 — Bare Node
```sh
# Clone, build, run
git clone https://git.orfel.de/Jannik/MelodyMuse.git
cd MelodyMuse
npm ci
npm run build
# Set the secrets and start
export LLM_ENDPOINT=https://api.minimax.chat/v1
export LLM_API_KEY=sk-...
npm start
```
## Option 2 — Docker
```sh
# Build
docker build -f deploy/Dockerfile -t melodymuse .
# Run
docker run --rm -p 3000:3000 \
-e LLM_ENDPOINT=https://api.minimax.chat/v1 \
-e LLM_API_KEY=sk-... \
melodymuse
```
## Option 3 — Add to Jannik-Cloud
1. Create `services/melodymuse/` in your Jannik-Cloud repo.
2. Copy the four files from this folder into it:
- `Dockerfile`
- `docker-compose.yml` (rename from `docker-compose.example.yml`)
- `melodymuse.caddy`
- `generate-env.sh`
3. `touch services/melodymuse/service.enabled`
4. `bash services/melodymuse/generate-env.sh` — answer the prompts.
5. Commit `services/melodymuse/.env.age` and the four non-secret files.
6. `sudo bash /opt/Jannik-Cloud/deploy_script.sh` — Caddy will pick up
`melodymuse.orfel.de` and route it to the container.
## Endpoints exposed by the server
| Method | Path | Purpose |
|---|---|---|
| `GET` | `/api/health` | Health check. Returns `{ ok, llm_configured, model, endpoint }`. |
| `POST` | `/api/generate` | Main generation. Body matches the `GenerateRequest` shape. |
| `POST` | `/api/style/random` | Returns a one-line Suno style. Body: `{ mode: "normal" \| "crazy" }`. |
| `GET` | everything else | Serves the built SPA from `dist/`, with SPA fallback to `index.html`. |
## Image footprint
The runtime image is `node:20-alpine` with only `server.mjs` and the
built SPA. No production `npm install` (server.mjs uses only Node
built-ins). Total image size is roughly 200 MB.
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# Example docker-compose snippet for MelodyMuse.
#
# Drop this into your service directory (e.g. `services/melodymuse/` in a
# Jannik-Cloud-style stack) and rename to `docker-compose.yml`. Pair it with
# `Dockerfile`, `melodymuse.caddy`, and `generate-env.sh` from the same folder.
services:
melodymuse:
build:
context: .
dockerfile: Dockerfile
image: melodymuse:latest
container_name: melodymuse
restart: unless-stopped
ports:
# Only loopback — let your reverse proxy (Caddy) handle public traffic.
- "127.0.0.1:3000:3000"
environment:
LLM_ENDPOINT: ${LLM_ENDPOINT}
LLM_API_KEY: ${LLM_API_KEY}
LLM_MODEL: ${LLM_MODEL:-MiniMax-M3}
PORT: ${PORT:-3000}
CORS_ORIGIN: ${CORS_ORIGIN:-*}
deploy:
resources:
limits:
cpus: "0.5"
memory: 256M
networks:
- jannik-cloud-net
networks:
jannik-cloud-net:
external: true
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#!/usr/bin/env bash
# generate-env.sh — create the MelodyMuse `.env` (and AGE-encrypt it).
#
# Usage: bash generate-env.sh
#
# Customize LLM_ENDPOINT / LLM_MODEL below before running. The script prompts
# for the LLM_API_KEY so it doesn't end up in your shell history.
set -euo pipefail
SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
REPO_ROOT="$(cd "${SCRIPT_DIR}/../.." && pwd)"
AGE_PUB_KEY="${REPO_ROOT}/keys/age-public-key.txt"
# ─── Customize these for your deployment ─────────────────────────────────────
LLM_ENDPOINT_DEFAULT="https://api.minimax.chat/v1"
LLM_MODEL_DEFAULT="MiniMax-M3"
# ──────────────────────────────────────────────────────────────────────────────
echo "LLM endpoint [${LLM_ENDPOINT_DEFAULT}]:"
read -r LLM_ENDPOINT
LLM_ENDPOINT="${LLM_ENDPOINT:-$LLM_ENDPOINT_DEFAULT}"
echo "LLM model [${LLM_MODEL_DEFAULT}]:"
read -r LLM_MODEL
LLM_MODEL="${LLM_MODEL:-$LLM_MODEL_DEFAULT}"
echo "LLM API key (input is hidden):"
read -rs LLM_API_KEY
echo ""
if [[ -z "${LLM_API_KEY}" ]]; then
echo "ERROR: LLM_API_KEY is required."
exit 1
fi
cat > "${SCRIPT_DIR}/.env" <<EOF
# MelodyMuse — generated by generate-env.sh
LLM_ENDPOINT=${LLM_ENDPOINT}
LLM_API_KEY=${LLM_API_KEY}
LLM_MODEL=${LLM_MODEL}
PORT=3000
CORS_ORIGIN=*
EOF
chmod 600 "${SCRIPT_DIR}/.env"
if [[ -f "${AGE_PUB_KEY}" ]]; then
age -r "$(cat "${AGE_PUB_KEY}")" -o "${SCRIPT_DIR}/.env.age" "${SCRIPT_DIR}/.env"
echo ""
echo "Encrypted .env → .env.age"
echo "Commit .env.age (NOT .env) to your repo, then re-run deploy."
else
echo ""
echo "No AGE public key found at ${AGE_PUB_KEY}."
echo "Encrypt manually before committing, e.g.:"
echo " age -r <recipient> -o .env.age .env"
fi
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# Caddy reverse proxy for MelodyMuse.
# Drop this into your service directory as `melodymuse.caddy` — your
# Caddyfile (or `caddy` Docker image) will pick it up automatically.
melodymuse.orfel.de {
encode zstd gzip
reverse_proxy melodymuse:3000
}