List models

You're Claude Code, working in my repository.

Task
Call GET /v1/models from this project and print each model's id, created and owned_by, with an optional client query parameter passed through when set.

Read this first
Meta's docs page "List models" as Markdown: https://dev.meta.ai/docs/api-reference/models/list-models.md
It's the source of truth for request and response shapes. The same page for people: https://dev.meta.ai/docs/api-reference/models/list-models

Setup
- Base URL: https://api.meta.ai/v1
- Auth: send Authorization: Bearer $MODEL_API_KEY, reading MODEL_API_KEY from the environment. Never hard-code, print or commit the key.
- Model: muse-spark-1.3-contributor (Contributor mode: Meta may use what you send to train future models; drop -contributor for Standard mode)
- Python: the OpenAI SDK (pip install openai) with base_url="https://api.meta.ai/v1" and api_key=os.environ["MODEL_API_KEY"] works, or plain requests.

Facts to get right
- The reply is ListModelsResponse: { "object": "list", "data": [{ "id", "object": "model", "created", "owned_by" }] }.
- The models page says the list is newest first by created, but live replies report created: 0 on every model, in no set order: don't rely on created, the order or data[0].
- client is optional: a client-specific catalog view. Model objects carry metadata only when it names a recognized client.
- It returns the API-hosted models only (no self-hosted Muse Glimmer), and costs nothing.

Starter code (Python)
import os
import sys

from openai import OpenAI

api_key = os.environ.get("MODEL_API_KEY")
if not api_key:
    sys.exit("Set MODEL_API_KEY to your Model API key first.")

client = OpenAI(base_url="https://api.meta.ai/v1", api_key=api_key)

response = client.models.list()

print(response.model_dump_json(indent=2))

Done when
- The command prints one line per model, muse-spark-1.3-contributor among them.
- The key comes from MODEL_API_KEY and never appears in code, logs or commits.
- API errors (4xx, 429) surface their message instead of failing silently.