myla

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 55)

a local implementation of OpenAI Assistants API: myla stands for MY Local Assistant

myla Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

[English](README.md) | [简体中文](README_zh_CN.md)

# Myla: MY Local Assistants

## Self-hosting AI Assistants compatible with OpenAI

Myla stands for MY Local Assistants and is designed and optimized for deploying AI assistants based on large language models (LLMs) in a private environment. Myla provides an API compatible with the **OpenAI assistants API**, with support for multiple LLM backends. Whether on a laptop or a production server, you can quickly develop and run AI assistants.

## Key Features:

* Support for OpenAI API and compatible LLM services
* Assistant API compatible with OpenAI
* Vector retrieval (FAISS/LanceDB)
* sentence_transformers
* WebUI
* Tool extensions
* Document Q&A (in progress)

## Quick Start
### Installation

Python version requirement: >= 3.9

Myla can be installed from PyPI using `pip`. It is recommended to create a new virtual environment before installation to avoid conflicts.

```bash
pip install myla
```

If you need Retrieval, please install all dependencies:
```bash
pip install "myla[all]"
```

### Configuration

Myla supports using an OpenAI API-compatible LLM service as the backend. You can use the OpenAI API directly or deploy your own local LLM. If you want to deploy a local LLM, it is recommended to use [Xorbits Inference](https://github.com/xorbitsai/inference).

Create a `.env` file in the current directory with the following content:

```
# LLM configuration
LLM_ENDPOINT=https://api.openai.com/v1/
LLM_API_KEY=sk-xx
DEFAULT_LLM_MODEL_NAME=gpt-3.5-turbo
```

More configurations can be found in: [env-example.txt](env-example.txt)

#### ChatGLM as backend for your MacBook

Myla supports running ChatGLM locally using `chatglm.cpp` as the backend. To install the Python Binding, refer to: https://github.com/li-plus/chatglm.cpp#python-binding

`.env` configuration example:

```
DEFAULT_LLM_MODEL_NAME=chatglm@/Users/shellc/Workspaces/chatglm.cpp/chatglm-ggml.bin
```

### Start

```bash
myla
```

```bash
python -m myla
```

For more startup options:
```bash
myla --help
```

### WebUI

Myla provides a simple web interface that makes it easy to develop and debug assistants.

Access from your browser: http://localhost:2000/

![Screenshot](https://raw.githubusercontent.com/muyuworks/myla/main/myla/webui/static/images/screenshot.png)

### API

You can directly use the OpenAI python SDK to access the assistants API.

* API Docs: http://localhost:2000/api/docs
* Swagger: http://localhost:2000/api/swagger

## Community

Myla is still under rapid development, and community contributions are welcome.

myla

myla Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

myla

myla Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README