114 lines
6.0 KiB
Bash
114 lines
6.0 KiB
Bash
# ─────────────────────────────────────────────────────────────────────────────
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# MelodyMuse — server environment
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#
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# The Node server (`server.mjs`) reads these from `process.env`. It refuses to
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# start without `LLM_ENDPOINT` and `LLM_API_KEY`. Pass them in however you run
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# the server:
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#
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# • Bare-metal: LLM_ENDPOINT=… LLM_API_KEY=… node server.mjs
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# • Docker: -e LLM_ENDPOINT=… -e LLM_API_KEY=…
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# • docker-compose: put them in a `.env` file next to compose.yml
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# • Jannik-Cloud: AGE-encrypted `.env` generated by `generate-env.sh`
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#
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# Three things you set:
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#
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# LLM_ENDPOINT — base URL of an OpenAI-compatible /chat/completions route
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# LLM_API_KEY — provider secret (never sent to the browser)
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# LLM_MODEL — model name to send in each request
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#
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# Below the active config you'll find worked examples for several providers —
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# copy one of them into the active block above to switch.
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# ─────────────────────────────────────────────────────────────────────────────
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# ─── Active provider (uncomment ONE of the examples below to switch) ──────────
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LLM_ENDPOINT=https://api.minimax.io/v1
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LLM_API_KEY=
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LLM_MODEL=MiniMax-M3
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# ─── Server config ────────────────────────────────────────────────────────────
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PORT=3000
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CORS_ORIGIN=*
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# ╔═══════════════════════════════════════════════════════════════════════════╗
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# ║ PROVIDER EXAMPLES — copy one block up to switch providers ║
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# ╚═══════════════════════════════════════════════════════════════════════════╝
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# ─── MiniMax (the default) ───────────────────────────────────────────────────
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# https://api.minimax.io/v1
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# Sign in at https://MiniMax.io to get a key.
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#
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# LLM_ENDPOINT=https://api.minimax.io/v1
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# LLM_API_KEY=eyXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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# LLM_MODEL=MiniMax-M3
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# ─── OpenAI ──────────────────────────────────────────────────────────────────
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# https://platform.openai.com/
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# Keys look like: sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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# Common models: gpt-4o, gpt-4o-mini, gpt-4-turbo, o1-mini, o1, …
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#
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# LLM_ENDPOINT=https://api.openai.com/v1
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# LLM_API_KEY=sk-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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# LLM_MODEL=gpt-4o-mini
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# ─── OpenRouter (Claude, Llama, Mistral, Gemini, …) ────────────────────────
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# https://openrouter.ai/
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# One OpenAI-compatible endpoint that fronts hundreds of models. Easiest way
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# to use Anthropic Claude, Meta Llama, Google Gemini, etc. without writing a
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# custom adapter.
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#
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# Keys look like: sk-or-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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# Model names are namespaced: anthropic/claude-3.5-sonnet, openai/gpt-4o,
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# meta-llama/llama-3.1-405b-instruct, google/gemini-2.0-flash-exp, …
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#
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# LLM_ENDPOINT=https://openrouter.ai/api/v1
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# LLM_API_KEY=sk-or-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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# LLM_MODEL=anthropic/claude-3.5-sonnet
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# ─── Poe ─────────────────────────────────────────────────────────────────────
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# https://poe.com/
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# Poe exposes an OpenAI-compatible API for the bots you've created in their
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# UI. Create a bot there first (free), then use its exact name as the model.
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#
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# LLM_ENDPOINT=https://api.poe.com/v1
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# LLM_API_KEY=sk-poe-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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# LLM_MODEL=Claude-3.5-Sonnet
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# ─── Anthropic Claude (DIRECT — needs a server adapter) ─────────────────────
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# https://console.anthropic.com/
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# Anthropic's native API is NOT OpenAI-compatible — it lives at
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# POST /v1/messages with a different body shape (system message is a
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# top-level field, not a message) and a different response shape.
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#
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# MelodyMuse's server does not currently talk to Anthropic's native API
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# directly. Two options:
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#
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# 1. Use OpenRouter above — same model, OpenAI-compatible, zero code
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# changes.
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# 2. Add a small adapter to server.mjs that translates the request
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# to Anthropic's Messages API format. Roughly 30 lines of code.
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#
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# If you do add the adapter, the endpoint would be:
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#
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# LLM_ENDPOINT=https://api.anthropic.com
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# LLM_API_KEY=sk-ant-XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX
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# LLM_MODEL=claude-3-5-sonnet-latest
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# ─────────────────────────────────────────────────────────────────────────────
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# Vite dev environment (only used by `npm run dev`, not by the server)
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# ─────────────────────────────────────────────────────────────────────────────
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# Leave empty to use the dev proxy (see vite.config.ts). Set this if you want
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# the browser to talk to a server on a different origin.
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# VITE_API_BASE_URL=http://localhost:3000
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# Video AI Links configuration (comma-separated Key=URL pairs)
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VIDEO_AI_LINKS="Kling AI=https://klingai.com,Luma=https://lumalabs.ai,Runway=https://runwayml.com"
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