---
type: "post"
id: "simon-willison-released-version-0-2-of-llm-8816ed"
slug: "simon-willison-released-version-0-2-of-llm-8816ed"
title: "Simon Willison released version 0.2 of llm-meta-ai on PyPI on October 12, 2026"
description: "Simon Willison released version 0.2 of llm-meta-ai on PyPI on October 12, 2026."
retrieval_nugget: "Simon Willison released version 0.2 of llm-meta-ai on PyPI on October 12, 2026."
published_at: "2026-10-23"
updated_at: "2026-10-23"
record_date: "2026-10-23"
date_kind: "published_at"
topics: ["developer-tools","models"]
entities: ["llm-meta-ai","LLM","Meta AI API","Simon Willison","Muse Spark","Muse Wonder"]
related_patterns: []
novelty_label: "same_event"
what_changed: "Same event as llm-meta-ai 0.2"
prior_refs: ["memory:2bd3c74d-f0ea-8a27-aa66-84cef542fad8"]
source_url: "https://pypi.org/project/llm-meta-ai/0.2"
source_urls: ["https://pypi.org/project/llm-meta-ai/0.2"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "post:simon-willison-released-version-0-2-of-llm-8816ed"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/posts/simon-willison-released-version-0-2-of-llm-8816ed/","markdown":"https://newruntime.com/posts/simon-willison-released-version-0-2-of-llm-8816ed.md","json":"https://newruntime.com/posts/simon-willison-released-version-0-2-of-llm-8816ed.json"}
---

# Simon Willison released version 0.2 of llm-meta-ai on PyPI on October 12, 2026

## Retrieval answer

Simon Willison released version 0.2 of llm-meta-ai on PyPI on October 12, 2026.

Simon Willison released version 0.2 of llm-meta-ai on PyPI on October 12, 2026. The Apache-2.0 package is an LLM plugin for models hosted by the Meta AI API. It requires Python 3.10 or later and LLM 0.31.1 or later.

Installation is documented as `llm install llm-meta-ai`. Users can supply a Meta AI API key with `llm keys set meta-ai` or the `META_AI_TOKEN` environment variable. Models use the `meta-ai/` prefix; the package documents `meta-ai/muse-spark-1.3` and `meta-ai/muse-wonder-1.0` examples.

The plugin can list models from the API, caches that list for one hour, and refreshes it with `llm meta-ai refresh`. It documents reasoning-effort settings, image and PDF attachments, tools, and schemas. Requests count against an output-token rate limit before execution, and a 429 response may mean a listed model is not enabled for a team.

The PyPI page does not provide a changelog or establish what changed specifically from earlier llm-meta-ai releases. Source: https://pypi.org/project/llm-meta-ai/0.2

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

## Continue in the graph

Next records for an agent, linked to their Markdown twins. Replace `.md` with `.json` for structured fields, including `next_reads`.

- topic hub: [Developer Tools](https://newruntime.com/topics/developer-tools.md): Explore the developer-tools topic hub.
- topic hub: [Models](https://newruntime.com/topics/models.md): Explore the models topic hub.
- collection: [Field Notes](https://newruntime.com/posts.json): Open the latest editorial analysis.
- collection: [Source Ledger](https://newruntime.com/source-ledger.json): Inspect the public source evidence graph.
- whole graph: [discovery graph](https://newruntime.com/discovery-graph.json) (typed nodes and edges) and [site index](https://newruntime.com/site-index.md)