lmcache_frontend

KO | EN

gitlite — search

#javascript #python #ai #go #machine-learning #rust #linux #docker #nodejs #windows #awesome-list #vue #mcp #ios

lmcache_frontend

(★ 18)

the frontend of lmcache

lmcache_frontend Latest Version Download

Download Latest Version (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# LMCache Frontend

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)

LMCache Frontend is a monitoring and proxy service for LMCache clusters, providing a web interface for cluster management and HTTP request proxying to cluster nodes.

![img.png](https://raw.githubusercontent.com/LMCache/lmcache_frontend/main/res/img.png)

## Features

- **Cluster Monitoring**: Web-based dashboard for visualizing cluster status
- **Request Proxying**: HTTP proxy service to forward requests to any cluster node
- **Flexible Configuration**: Support for both IP:port and Unix domain sockets
- **Plugin System**: Integration with LMCache plugin framework

## Installation

1. Clone the repository:
```bash
git clone https://github.com/your-org/lmcache_frontend.git
cd lmcache_frontend
```

2. Install:
```bash
# Install source
pip install -e .
# install from pypi
pip install lmcache_frontend
```

## Usage

### Starting the Service
```bash
lmcache-frontend --port 8080 --host 0.0.0.0
```

### Command Line Options
```
--port       Service port (default: 8000)
--host       Bind host address (default: 0.0.0.0)
--config     Path to configuration file
--nodes      Direct node configuration (JSON string)
```

### Accessing the Web Interface
After starting the service, access the dashboard at:
`http://localhost:8080/`

### Proxying Requests
Proxy requests using the format:
```
/proxy/{target_host}/{target_port_or_socket}/{path}
```

Example:
```
curl "http://localhost:8080/proxy/localhost/%252Ftmp%252Flmcache_internal_api_server%252Fsocket_8081/metrics"
curl -X POST  http://localhost:9090/proxy/localhost/8081/run_script -F "script=@/root/scratch.py"
```

### Start by LMCache plugin framework
Configure the following configs to `lmcache.yaml`
```yaml
extra_config:
  plugin.frontend.port: 8080
internal_api_server_enabled: True
internal_api_server_port_start: 9090
plugin_locations: ["/scripts/scheduler_lmc_frontend_plugin.py"]
internal_api_server_socket_path_prefix: "/tmp/lmcache_internal_api_server/socket"
```

## Configuration

### Node Configuration
Create a `config.json` file with node definitions:
```json
[
  {
    "name": "node1",
    "host": "127.0.0.1",
    "port": "/tmp/lmcache_internal_api_server/socket/9090"
  },
  {
    "name": "node2",
    "host": "127.0.0.1",
    "port": "/tmp/lmcache_internal_api_server/socket/9091"
  }
]
```

`port` can be both configured to int type port and string type socket path.

### Pre-commit Checks
This project uses pre-commit hooks for code quality:
```bash
pre-commit install
pre-commit run --all-files
```

## Development

### Project Structure
```
lmcache_frontend/
├── app.py               # Main application
├── lmcache_plugin/
│   └── scheduler_lmc_frontend_plugin.py  # lmcache plugin integration
├── static/              # Web assets
└── __init__.py
```

### Building the Package
```bash
python setup.py sdist bdist_wheel
twine upload dist/*
```

## License
Apache License 2.0

lmcache_frontend

lmcache_frontend Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

lmcache_frontend

lmcache_frontend Latest Version Download

Today's picks

Was this content helpful?

Recent Feedback

Download README