llamactl

A control server for managing multiple Llama Server instances with a web-based dashboard.

Features

• Multi-instance Management: Create, start, stop, restart, and delete multiple llama-server instances
• Web Dashboard: Modern React-based UI for managing instances
• Auto-restart: Configurable automatic restart on instance failure
• Instance Monitoring: Real-time health checks and status monitoring
• Log Management: View, search, and download instance logs
• Data Persistence: Persistent storage of instance state.
• REST API: Full API for programmatic control
• OpenAI Compatible: Route requests to instances by instance name
• Configuration Management: Comprehensive llama-server parameter support
• System Information: View llama-server version, devices, and help

Prerequisites

This project requires llama-server from llama.cpp to be installed and available in your PATH.

Install llama.cpp: Follow the installation instructions at https://github.com/ggml-org/llama.cpp

Installation

Download Prebuilt Binaries

The easiest way to install llamactl is to download a prebuilt binary from the releases page.

Linux/macOS:

# Download the latest release for your platform
curl -L https://github.com/lordmathis/llamactl/releases/latest/download/llamactl-$(curl -s https://api.github.com/repos/lordmathis/llamactl/releases/latest | grep tag_name | cut -d '"' -f 4)-linux-amd64.tar.gz | tar -xz

# Move to PATH
sudo mv llamactl /usr/local/bin/

# Run the server
llamactl

Manual Download:

1. Go to the releases page
2. Download the appropriate archive for your platform
3. Extract the archive and move the binary to a directory in your PATH

Build from Source

If you prefer to build from source or need the latest development version:

Build Requirements

• Go 1.24 or later
• Node.js 22 or later (for building the web UI)

Building with Web UI

# Clone the repository
git clone https://github.com/lordmathis/llamactl.git
cd llamactl

# Install Node.js dependencies
cd webui
npm ci

# Build the web UI
npm run build

# Return to project root and build
cd ..
go build -o llamactl ./cmd/server

# Run the server
./llamactl

Configuration

llamactl can be configured via configuration files or environment variables. Configuration is loaded in the following order of precedence:

1. Hardcoded defaults
2. Configuration file
3. Environment variables

Configuration Files

Configuration File Locations

Configuration files are searched in the following locations (in order of precedence):

Linux/macOS:

• ./llamactl.yaml or ./config.yaml (current directory)
• $HOME/.config/llamactl/config.yaml
• /etc/llamactl/config.yaml

Windows:

• ./llamactl.yaml or ./config.yaml (current directory)
• %APPDATA%\llamactl\config.yaml
• %USERPROFILE%\llamactl\config.yaml
• %PROGRAMDATA%\llamactl\config.yaml

You can specify the path to config file with LLAMACTL_CONFIG_PATH environment variable.

API Key Authentication

llamactl now supports API Key authentication for both management and inference (OpenAI-compatible) endpoints. The are separate keys for management and inference APIs. Management keys grant full access; inference keys grant access to OpenAI-compatible endpoints

How to Use:

• Pass your API key in requests using one of:
  • Authorization: Bearer <key> header
  • X-API-Key: <key> header
  • api_key=<key> query parameter

Auto-generated keys: If no keys are set and authentication is required, a key will be generated and printed to the terminal at startup. For production, set your own keys in config or environment variables.

Configuration Options

Server Configuration

server:
  host: "0.0.0.0"         # Server host to bind to (default: "0.0.0.0")
  port: 8080              # Server port to bind to (default: 8080)
  allowed_origins: ["*"]  # CORS allowed origins (default: ["*"])
  enable_swagger: false   # Enable Swagger UI (default: false)

Environment Variables:

• LLAMACTL_HOST - Server host
• LLAMACTL_PORT - Server port
• LLAMACTL_ALLOWED_ORIGINS - Comma-separated CORS origins
• LLAMACTL_ENABLE_SWAGGER - Enable Swagger UI (true/false)

Instance Configuration

instances:
  port_range: [8000, 9000]           # Port range for instances (default: [8000, 9000])
  data_dir: "~/.local/share/llamactl" # Directory for all llamactl data (default varies by OS)
  configs_dir: "~/.local/share/llamactl/instances" # Directory for instance configs (default: data_dir/instances)
  logs_dir: "~/.local/share/llamactl/logs" # Directory for instance logs (default: data_dir/logs)
  auto_create_dirs: true             # Automatically create data/config/logs directories (default: true)
  max_instances: -1                  # Maximum instances (-1 = unlimited)
  llama_executable: "llama-server"   # Path to llama-server executable
  default_auto_restart: true         # Default auto-restart setting
  default_max_restarts: 3            # Default maximum restart attempts
  default_restart_delay: 5           # Default restart delay in seconds

Environment Variables:

• LLAMACTL_INSTANCE_PORT_RANGE - Port range (format: "8000-9000" or "8000,9000")
• LLAMACTL_DATA_DIRECTORY - Data directory path
• LLAMACTL_INSTANCES_DIR - Instance configs directory path
• LLAMACTL_LOGS_DIR - Log directory path
• LLAMACTL_AUTO_CREATE_DATA_DIR - Auto-create data/config/logs directories (true/false)
• LLAMACTL_MAX_INSTANCES - Maximum number of instances
• LLAMACTL_LLAMA_EXECUTABLE - Path to llama-server executable
• LLAMACTL_DEFAULT_AUTO_RESTART - Default auto-restart setting (true/false)
• LLAMACTL_DEFAULT_MAX_RESTARTS - Default maximum restarts
• LLAMACTL_DEFAULT_RESTART_DELAY - Default restart delay in seconds

Auth Configuration

auth:
  require_inference_auth: true           # Require API key for OpenAI endpoints (default: true)
  inference_keys: []                     # List of valid inference API keys
  require_management_auth: true          # Require API key for management endpoints (default: true)
  management_keys: []                    # List of valid management API keys

Environment Variables:

• LLAMACTL_REQUIRE_INFERENCE_AUTH - Require auth for OpenAI endpoints (true/false)
• LLAMACTL_INFERENCE_KEYS - Comma-separated inference API keys
• LLAMACTL_REQUIRE_MANAGEMENT_AUTH - Require auth for management endpoints (true/false)
• LLAMACTL_MANAGEMENT_KEYS - Comma-separated management API keys

Example Configuration

server:
  host: "0.0.0.0"
  port: 8080

instances:
  port_range: [8001, 8100]
  data_dir: "/var/lib/llamactl"
  configs_dir: "/var/lib/llamactl/instances"
  logs_dir: "/var/log/llamactl"
  auto_create_dirs: true
  max_instances: 10
  llama_executable: "/usr/local/bin/llama-server"
  default_auto_restart: true
  default_max_restarts: 5
  default_restart_delay: 10

auth:
  require_inference_auth: true
  inference_keys: ["sk-inference-abc123"]
  require_management_auth: true
  management_keys: ["sk-management-xyz456"]

Usage

Starting the Server

# Start with default configuration
./llamactl

# Start with custom config file
LLAMACTL_CONFIG_PATH=/path/to/config.yaml ./llamactl

# Start with environment variables
LLAMACTL_PORT=9090 LLAMACTL_LOG_DIR=/custom/logs ./llamactl

Web Dashboard

Open your browser and navigate to http://localhost:8080 to access the web dashboard.

API Usage

The REST API is available at http://localhost:8080/api/v1. See the Swagger documentation at http://localhost:8080/swagger/ for complete API reference.

Create an Instance

curl -X POST http://localhost:8080/api/v1/instances/my-instance \
  -H "Content-Type: application/json" \
  -d '{
    "model": "/path/to/model.gguf",
    "gpu_layers": 32,
    "auto_restart": true
  }'

List Instances

curl http://localhost:8080/api/v1/instances

Start/Stop Instance

# Start
curl -X POST http://localhost:8080/api/v1/instances/my-instance/start

# Stop
curl -X POST http://localhost:8080/api/v1/instances/my-instance/stop

OpenAI Compatible Endpoints

Route requests to instances by including the instance name as the model parameter:

curl -X POST http://localhost:8080/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
    "model": "my-instance",
    "messages": [{"role": "user", "content": "Hello!"}]
  }'

Development

Running Tests

# Go tests
go test ./...

# Web UI tests
cd webui
npm test

Development Server

# Start Go server in development mode
go run ./cmd/server

# Start web UI development server (in another terminal)
cd webui
npm run dev

API Documentation

Interactive API documentation is available at http://localhost:8080/swagger/ when the server is running.

License

This project is licensed under the MIT License. See the LICENSE file for details.