Skip to content
Empryo

Meta Muse with Empryo

Meta's Model API serves Muse Wonder, Meta's strongest model for long-running coding work, and Muse Spark, the faster and cheaper one. Both have a 1M-token context, tool calling and reasoning. Empryo connects in two ways. A Model API key bills per token. A Muse Code subscription signs in with a device code and bills to your plan, with the 5-hour and weekly usage shown in Empryo.

How you connect
API key
How you pay
Per token with a Model API key, or your Muse Code plan with /login muse-code

What you get

Example models

  • muse-wonder-1.0
  • muse-spark-1.3
  • muse-spark-1.3-contributor
  • muse-spark-1.2

When to use it

Pick Meta Muse when you want Muse Wonder or Muse Spark straight from Meta, either per token with a Model API key or on your Muse Code plan.

Set it up

Use a Model API keyLink to this section

Create a key in the Model API dashboard at dev.meta.ai. Keys start with LLM_. Then:

bash
empryo --set-key meta LLM_...
# or, inside Empryo
/login meta

META_API_KEY works too. Models show up as meta/muse-wonder-1.0 and meta/muse-spark-1.3.

Use a Muse Code subscriptionLink to this section

bash
/login muse-code

Empryo shows a code. Approve it at auth.meta.com/oauth/device with your Meta account. Models show up as subscriptions/muse-code/<model>, and /usage shows the 5-hour and weekly windows with their reset times. Business and Enterprise (MMA) accounts cannot use this sign-in: use a Model API key instead.

VerifyLink to this section

bash
empryo --list-providers   # meta shows as Ready
empryo --list-models meta

Keys or subscriptions

Meta Muse connects the way marked below. You can mix ways across task-router slots.

  • API keyMeta MusePaste a key once. Empryo keeps it in your system keychain, and you pay the provider for what you use.
  • Sign inApprove Empryo in your browser and use a plan or credits you already have. There is no key to copy.
  • On your machineRun open models on your own computer. No key, no per-token bill, and nothing has to leave your machine.
  • Any compatible APIOne block of JSON config turns any OpenAI-compatible endpoint into a provider, including your own server.