Promote llm-mlx in changelog and plugin directory

!stable-docs

docs/changelog.md

@@ -12,6 +12,7 @@ See also [LLM 0.22, the annotated release notes](https://simonwillison.net/2025/
 - New `llm embed-multi --prepend X` option for prepending a string to each value before it is embedded - useful for models such as [nomic-embed-text-v2-moe](https://huggingface.co/nomic-ai/nomic-embed-text-v2-moe) that require passages to start with a string like `"search_document: "`. [#745](https://github.com/simonw/llm/issues/745)
 - The `response.json()` and `response.usage()` methods are {ref}`now documented <python-api-underlying-json>`.
 - Fixed a bug where conversations that were loaded from the database could not be continued using `asyncio` prompts. [#742](https://github.com/simonw/llm/issues/742)
+- New plugin for macOS users: [llm-mlx](https://github.com/simonw/llm-mlx), which provides [extremely high performance access](https://simonwillison.net/2025/Feb/15/llm-mlx/) to a wide range of local models using Apple's MLX framework.
 - The `llm-claude-3` plugin has been renamed to [llm-anthropic](https://github.com/simonw/llm-anthropic).
 
 (v0_21)=

docs/plugins/directory.md

@@ -9,11 +9,12 @@ These plugins all help you run LLMs directly on your own computer:
 
 
 - **[llm-gguf](https://github.com/simonw/llm-gguf)** uses [llama.cpp](https://github.com/ggerganov/llama.cpp) to run models published in the GGUF format.
+- **[llm-mlx](https://github.com/simonw/llm-mlx)** (Mac only) uses Apple's MLX framework to provide extremely high performance access to a large number of local models.
+- **[llm-ollama](https://github.com/taketwo/llm-ollama)** adds support for local models run using [Ollama](https://ollama.ai/).
+- **[llm-llamafile](https://github.com/simonw/llm-llamafile)** adds support for local models that are running locally using [llamafile](https://github.com/Mozilla-Ocho/llamafile).
 - **[llm-mlc](https://github.com/simonw/llm-mlc)** can run local models released by the [MLC project](https://mlc.ai/mlc-llm/), including models that can take advantage of the GPU on Apple Silicon M1/M2 devices.
 - **[llm-gpt4all](https://github.com/simonw/llm-gpt4all)** adds support for various models released by the [GPT4All](https://gpt4all.io/) project that are optimized to run locally on your own machine. These models include versions of Vicuna, Orca, Falcon and MPT - here's [a full list of models](https://observablehq.com/@simonw/gpt4all-models).
 - **[llm-mpt30b](https://github.com/simonw/llm-mpt30b)** adds support for the [MPT-30B](https://huggingface.co/mosaicml/mpt-30b) local model.
-- **[llm-ollama](https://github.com/taketwo/llm-ollama)** adds support for local models run using [Ollama](https://ollama.ai/).
-- **[llm-llamafile](https://github.com/simonw/llm-llamafile)** adds support for local models that are running locally using [llamafile](https://github.com/Mozilla-Ocho/llamafile).
 
 ## Remote APIs