Meta Model Mybook — AI skill for Claude Code

Meta Model API mybook

Recipes for building agents and coding tools on the Meta Model API, covering API fundamentals, agent patterns, and end-to-end use cases.

Meta Model API lets you build with Muse Spark using the tools you already run: it's drop-in compatible with the OpenAI SDK, the Anthropic SDK, and agent CLIs like OpenCode and Claude Code.

Point your client at the Model API base URL, set your key, and keep the rest of your code. Each recipe is a self-contained, copy-paste starting point that proves a capability and gives you something to build on. The default model is **Muse Spark** (`muse-spark-1.3`), which has a 1,048,576-token context window; the preview is free.

Getting started

You need a [Model API account](https://dev.meta.ai/) and an API key. Store the key as an environment variable so it stays out of your code:

export MODEL_API_KEY="LLM|{numeric_id}|{secret}"
pip install openai

import os

from openai import OpenAI

# The OpenAI SDK does not auto-read MODEL_API_KEY, so pass it explicitly.
client = OpenAI(
    base_url="https://api.meta.ai/v1",
    api_key=os.environ["MODEL_API_KEY"],
)

response = client.chat.completions.create(
    model="muse-spark-1.3",
    messages=[{"role": "user", "content": "Hello, world!"}],
)

print(response.choices[0].message.content)

Recipes

This cookbook mirrors the three sections of the Meta Model API cookbook website. Each recipe is a self-contained, copy-paste starting point. Start with **API fundamentals** to learn the API primitives, then move into **agent patterns** and end-to-end **use cases**.

[1. API fundamentals](01_api_fundamentals/)

Prove each API primitive works and get a starting point you can build on.

#	Recipe	What it does
01	Quickstart: chat completions	Make your first Muse Spark call by pointing the OpenAI SDK at one new base URL.
02	[Streaming responses](01_ap