bambu-studio-ai
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Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac.
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install guoqiao/mlx-audio-serverInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac.
mlx-audio: The best audio processing library built on Apple's MLX framework, providing fast and efficient text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) on Apple Silicon.
guoqiao/tap/mlx-audio-server: Homebrew Formula to install mlx-audio with brew, and run mlx_audio.server as a LaunchAgent service on macOS.
mlx: macOS with Apple Siliconbrew: used to install deps if not availablebash ${baseDir}/install.sh
This script will:
mlx-audio-server from guoqiao/tap
mlx-audio-server
STT/Speech-To-Text(default model: mlx-community/glm-asr-nano-2512-8bit):
# input will be converted to wav with ffmpeg, if not yet.
# output will be transcript text only.
bash ${baseDir}/run_stt.sh <audio_or_video_path>
TTS/Text-To-Speech(default model: mlx-community/Qwen3-TTS-12Hz-1.7B-VoiceDesign-bf16):
# audio will be saved into a tmp dir, with default name `speech.wav`, and print to stdout.
bash ${baseDir}/run_tts.sh "Hello, Human!"
# or you can specify a output dir
bash ${baseDir}/run_tts.sh "Hello, Human!" ./output
# output will be audio path only.
You can use both scripts directly, or as example/reference.
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
mlx-audio is an audio processing library built on Apple's MLX framework for text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) on Apple Silicon.
Currently, it is a python package with a few cli tools such as mlx_audio.server. It's dependencies for server is not working properly (yet), and has no builtin support to run it as system service in background.
This Homebrew Formula re-packages it for homebrew with missing deps, and the main focus is to add LaunchAgent service support for the mlx_audio.server on macOS, so you can use it as an 24x7 local OpenAI-compatible API server.
Tap and install:
# install the formula with cli tools, not only server
brew install --HEAD guoqiao/tap/mlx-audio-server
# start the mlx-audio.server as a LaunchAgent service
brew services start mlx-audio-server
# verify
curl -Ss http://localhost:8899/v1/models
Here are examples to use GLM-ASR-Nano-2512 model for STT with different ways:
with curl:
bash stt_glmasr.sh path/to/audio
with openai python sdk:
uv run openai_api_transcribe.py path/to/audio
with Spokenly iOS/macOS app, as OpenAI Compatible API:
URL: http://<IP>:8899
Model: mlx-community/glm-asr-nano-2512-8bit
API KEY: <blank>
NOTE: /v1 is not needed in URL here.
This is a Homebrew tap for the mlx-audio Python package, providing fast and efficient audio processing on Apple Silicon using MLX framework.
For more information, visit the mlx-audio repository.
# MLX Audio Server
Local 24x7 OpenAI-compatible API server for STT/TTS, powered by MLX on your Mac.
[mlx-audio](https://github.com/Blaizzy/mlx-audio): The best audio processing library built on Apple's MLX framework, providing fast and efficient text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) on Apple Silicon.
[guoqiao/tap/mlx-audio-server](https://github.com/guoqiao/homebrew-tap/blob/main/Formula/mlx-audio-server.rb): Homebrew Formula to install `mlx-audio` with `brew`, and run `mlx_audio.server` as a LaunchAgent service on macOS.
## Requirements
- `mlx`: macOS with Apple Silicon
- `brew`: used to install deps if not available
## Installation
```bash
bash ${baseDir}/install.sh
```
This script will:
- install ffmpeg/jq with brew if missing.
- install homebrew formula `mlx-audio-server` from `guoqiao/tap`
- start brew service for `mlx-audio-server`
## Usage
STT/Speech-To-Text(default model: **mlx-community/glm-asr-nano-2512-8bit**):
```bash
# input will be converted to wav with ffmpeg, if not yet.
# output will be transcript text only.
bash ${baseDir}/run_stt.sh <audio_or_video_path>
```
TTS/Text-To-Speech(default model: **mlx-community/Qwen3-TTS-12Hz-1.7B-VoiceDesign-bf16**):
```bash
# audio will be saved into a tmp dir, with default name `speech.wav`, and print to stdout.
bash ${baseDir}/run_tts.sh "Hello, Human!"
# or you can specify a output dir
bash ${baseDir}/run_tts.sh "Hello, Human!" ./output
# output will be audio path only.
```
You can use both scripts directly, or as example/reference.# Homebrew Formula mlx-audio-server [mlx-audio](https://github.com/Blaizzy/mlx-audio) is an audio processing library built on Apple's MLX framework for text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) on Apple Silicon. Currently, it is a python package with a few cli tools such as `mlx_audio.server`. It's dependencies for server is not working properly (yet), and has no builtin support to run it as system service in background. This Homebrew Formula re-packages it for homebrew with missing deps, and the main focus is to add LaunchAgent service support for the `mlx_audio.server` on macOS, so you can use it as an 24x7 local OpenAI-compatible API server. ## Installation Tap and install: ```bash # install the formula with cli tools, not only server brew install --HEAD guoqiao/tap/mlx-audio-server # start the mlx-audio.server as a LaunchAgent service brew services start mlx-audio-server # verify curl -Ss http://localhost:8899/v1/models ``` ## Usage Here are examples to use `GLM-ASR-Nano-2512` model for STT with different ways: with curl: ``` bash stt_glmasr.sh path/to/audio ``` with openai python sdk: ``` uv run openai_api_transcribe.py path/to/audio ``` with Spokenly iOS/macOS app, as OpenAI Compatible API: ``` URL: http://<IP>:8899 Model: mlx-community/glm-asr-nano-2512-8bit API KEY: <blank> ``` NOTE: `/v1` is not needed in URL here. ## About This is a Homebrew tap for the mlx-audio Python package, providing fast and efficient audio processing on Apple Silicon using MLX framework. For more information, visit the [mlx-audio repository](https://github.com/Blaizzy/mlx-audio).
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
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