- Added support for specifying response headers for each backend - Allowing users to set `X-Accel-Buffering: no` to disable buffering for streaming responses in nginx - Updated `configuration.md` to document the new configuration options - Modified Vite config to build with `base: "./"`, making assets be accessed via relative paths - Updated API_BASE to use `document.baseURI`, allowing API calls to be made relative to the base path
10 KiB
Configuration
llamactl can be configured via configuration files or environment variables. Configuration is loaded in the following order of precedence:
Defaults < Configuration file < Environment variables
llamactl works out of the box with sensible defaults, but you can customize the behavior to suit your needs.
Default Configuration
Here's the default configuration with all available options:
server:
host: "0.0.0.0" # Server host to bind to
port: 8080 # Server port to bind to
allowed_origins: ["*"] # Allowed CORS origins (default: all)
enable_swagger: false # Enable Swagger UI for API docs
backends:
llama-cpp:
command: "llama-server"
args: []
environment: {} # Environment variables for the backend process
docker:
enabled: false
image: "ghcr.io/ggml-org/llama.cpp:server"
args: ["run", "--rm", "--network", "host", "--gpus", "all"]
environment: {}
vllm:
command: "vllm"
args: ["serve"]
environment: {} # Environment variables for the backend process
docker:
enabled: false
image: "vllm/vllm-openai:latest"
args: ["run", "--rm", "--network", "host", "--gpus", "all", "--shm-size", "1g"]
environment: {}
mlx:
command: "mlx_lm.server"
args: []
environment: {} # Environment variables for the backend process
instances:
port_range: [8000, 9000] # Port range for instances
data_dir: ~/.local/share/llamactl # Data directory (platform-specific, see below)
configs_dir: ~/.local/share/llamactl/instances # Instance configs directory
logs_dir: ~/.local/share/llamactl/logs # Logs directory
auto_create_dirs: true # Auto-create data/config/logs dirs if missing
max_instances: -1 # Max instances (-1 = unlimited)
max_running_instances: -1 # Max running instances (-1 = unlimited)
enable_lru_eviction: true # Enable LRU eviction for idle instances
default_auto_restart: true # Auto-restart new instances by default
default_max_restarts: 3 # Max restarts for new instances
default_restart_delay: 5 # Restart delay (seconds) for new instances
default_on_demand_start: true # Default on-demand start setting
on_demand_start_timeout: 120 # Default on-demand start timeout in seconds
timeout_check_interval: 5 # Idle instance timeout check in minutes
auth:
require_inference_auth: true # Require auth for inference endpoints
inference_keys: [] # Keys for inference endpoints
require_management_auth: true # Require auth for management endpoints
management_keys: [] # Keys for management endpoints
Configuration Files
Configuration File Locations
Configuration files are searched in the following locations (in order of precedence):
Linux:
./llamactl.yamlor./config.yaml(current directory)$HOME/.config/llamactl/config.yaml/etc/llamactl/config.yaml
macOS:
./llamactl.yamlor./config.yaml(current directory)$HOME/Library/Application Support/llamactl/config.yaml/Library/Application Support/llamactl/config.yaml
Windows:
./llamactl.yamlor./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.
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 hostLLAMACTL_PORT- Server portLLAMACTL_ALLOWED_ORIGINS- Comma-separated CORS originsLLAMACTL_ENABLE_SWAGGER- Enable Swagger UI (true/false)
Backend Configuration
backends:
llama-cpp:
command: "llama-server"
args: []
environment: {} # Environment variables for the backend process
docker:
enabled: false # Enable Docker runtime (default: false)
image: "ghcr.io/ggml-org/llama.cpp:server"
args: ["run", "--rm", "--network", "host", "--gpus", "all"]
environment: {}
response_headers: {} # Additional response headers to send with responses
vllm:
command: "vllm"
args: ["serve"]
environment: {} # Environment variables for the backend process
docker:
enabled: false
image: "vllm/vllm-openai:latest"
args: ["run", "--rm", "--network", "host", "--gpus", "all", "--shm-size", "1g"]
environment: {}
response_headers: {} # Additional response headers to send with responses
mlx:
command: "mlx_lm.server"
args: []
environment: {} # Environment variables for the backend process
# MLX does not support Docker
response_headers: {} # Additional response headers to send with responses
Backend Configuration Fields:
command: Executable name/path for the backendargs: Default arguments prepended to all instancesenvironment: Environment variables for the backend process (optional)response_headers: Additional response headers to send with responses (optional)docker: Docker-specific configuration (optional)enabled: Boolean flag to enable Docker runtimeimage: Docker image to useargs: Additional arguments passed todocker runenvironment: Environment variables for the container (optional)
If llamactl is behind an nginx proxy,
X-Accel-Buffering: nomay be required for nginx to properly stream the responses without buffering.
Environment Variables:
LlamaCpp Backend:
LLAMACTL_LLAMACPP_COMMAND- LlamaCpp executable commandLLAMACTL_LLAMACPP_ARGS- Space-separated default argumentsLLAMACTL_LLAMACPP_ENV- Environment variables in format "KEY1=value1,KEY2=value2"LLAMACTL_LLAMACPP_DOCKER_ENABLED- Enable Docker runtime (true/false)LLAMACTL_LLAMACPP_DOCKER_IMAGE- Docker image to useLLAMACTL_LLAMACPP_DOCKER_ARGS- Space-separated Docker argumentsLLAMACTL_LLAMACPP_DOCKER_ENV- Docker environment variables in format "KEY1=value1,KEY2=value2"LLAMACTL_LLAMACPP_RESPONSE_HEADERS- Response headers in format "KEY1=value1,KEY2=value2"
VLLM Backend:
LLAMACTL_VLLM_COMMAND- VLLM executable commandLLAMACTL_VLLM_ARGS- Space-separated default argumentsLLAMACTL_VLLM_ENV- Environment variables in format "KEY1=value1,KEY2=value2"LLAMACTL_VLLM_DOCKER_ENABLED- Enable Docker runtime (true/false)LLAMACTL_VLLM_DOCKER_IMAGE- Docker image to useLLAMACTL_VLLM_DOCKER_ARGS- Space-separated Docker argumentsLLAMACTL_VLLM_DOCKER_ENV- Docker environment variables in format "KEY1=value1,KEY2=value2"
MLX Backend:
LLAMACTL_MLX_COMMAND- MLX executable commandLLAMACTL_MLX_ARGS- Space-separated default argumentsLLAMACTL_MLX_ENV- Environment variables in format "KEY1=value1,KEY2=value2"
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)
max_running_instances: -1 # Maximum running instances (-1 = unlimited)
enable_lru_eviction: true # Enable LRU eviction for idle instances
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
default_on_demand_start: true # Default on-demand start setting
on_demand_start_timeout: 120 # Default on-demand start timeout in seconds
timeout_check_interval: 5 # Default instance timeout check interval in minutes
Environment Variables:
LLAMACTL_INSTANCE_PORT_RANGE- Port range (format: "8000-9000" or "8000,9000")LLAMACTL_DATA_DIRECTORY- Data directory pathLLAMACTL_INSTANCES_DIR- Instance configs directory pathLLAMACTL_LOGS_DIR- Log directory pathLLAMACTL_AUTO_CREATE_DATA_DIR- Auto-create data/config/logs directories (true/false)LLAMACTL_MAX_INSTANCES- Maximum number of instancesLLAMACTL_MAX_RUNNING_INSTANCES- Maximum number of running instancesLLAMACTL_ENABLE_LRU_EVICTION- Enable LRU eviction for idle instancesLLAMACTL_DEFAULT_AUTO_RESTART- Default auto-restart setting (true/false)LLAMACTL_DEFAULT_MAX_RESTARTS- Default maximum restartsLLAMACTL_DEFAULT_RESTART_DELAY- Default restart delay in secondsLLAMACTL_DEFAULT_ON_DEMAND_START- Default on-demand start setting (true/false)LLAMACTL_ON_DEMAND_START_TIMEOUT- Default on-demand start timeout in secondsLLAMACTL_TIMEOUT_CHECK_INTERVAL- Default instance timeout check interval in minutes
Authentication 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 keysLLAMACTL_REQUIRE_MANAGEMENT_AUTH- Require auth for management endpoints (true/false)LLAMACTL_MANAGEMENT_KEYS- Comma-separated management API keys
Command Line Options
View all available command line options:
llamactl --help
You can also override configuration using command line flags when starting llamactl.