Files
localai-org-maint-bot 8f56e4e042 fix(vram): persist remote probe metadata (#11487)
* fix(vram): persist remote probe metadata

The startup warmer repeated remote size and GGUF metadata probes after every restart because both caches lived only in memory. Store successful HTTP probes for 24 hours so frequent restarts reuse the prior results.

Bound the cache, reject invalid records, and purge it when gallery data changes. Local model files continue to bypass persistence.

Assisted-by: Codex:gpt-5

* fix(vram): check temporary file cleanup

The lint gate rejects the unchecked cleanup call in the persistent cache writer.

Assisted-by: Codex:gpt-5.6 [golangci-lint]

* fix(vram): make persistent cache optional

Remote metadata probes can transfer enough data that operators need
control over disk reuse and startup warming. Gallery autoload now gates
both behaviors, and the runtime setting applies changes immediately.

Assisted-by: Codex:gpt-5

* fix(ui): expose gallery startup pre-warm

The existing gallery autoload setting also gates the startup metadata warmer. Name both effects in Settings so operators can find the requested boot control.

Assisted-by: Codex:gpt-5

---------

Co-authored-by: localai-org-maint-bot <306269227+localai-org-maint-bot@users.noreply.github.com>
2026-08-23 08:55:13 +02:00

19 KiB

+++ disableToc = false title = "CLI Reference" weight = 25 url = '/reference/cli-reference' +++

Complete reference for all LocalAI command-line interface (CLI) parameters and environment variables.

Note: All CLI flags can also be set via environment variables. Environment variables take precedence over CLI flags. See [.env files]({{%relref "advanced/advanced-usage#env-files" %}}) for configuration file support.

Global Flags

Parameter Default Description Environment Variable
-h, --help Show context-sensitive help
--log-level info Set the level of logs to output [error,warn,info,debug,trace] $LOCALAI_LOG_LEVEL
--debug false DEPRECATED - Use --log-level=debug instead. Enable debug logging $LOCALAI_DEBUG, $DEBUG

Storage Flags

Parameter Default Description Environment Variable
--models-path BASEPATH/models Path containing models used for inferencing $LOCALAI_MODELS_PATH, $MODELS_PATH
--data-path BASEPATH/data Path for persistent data (collectiondb, agent state, tasks, jobs). Separates mutable data from configuration $LOCALAI_DATA_PATH
--generated-content-path TMPDIR/localai-UID/generated/content Location for assets generated by backends (e.g. stablediffusion, images, audio, videos). Defaults under the OS temp dir ($TMPDIR, falling back to /tmp), scoped to the current user's UID so accounts sharing a host never collide. $LOCALAI_GENERATED_CONTENT_PATH, $GENERATED_CONTENT_PATH
--upload-path TMPDIR/localai-UID/upload Path to store uploads from files API. Defaults under the OS temp dir ($TMPDIR, falling back to /tmp), scoped to the current user's UID. $LOCALAI_UPLOAD_PATH, $UPLOAD_PATH
--localai-config-dir BASEPATH/configuration Directory for dynamic loading of certain configuration files (currently runtime_settings.json, api_keys.json, and external_backends.json). See [Runtime Settings]({{%relref "features/runtime-settings" %}}) for web-based configuration. $LOCALAI_CONFIG_DIR
--localai-config-dir-poll-interval Time duration to poll the LocalAI Config Dir if your system has broken fsnotify events (example: 1m) $LOCALAI_CONFIG_DIR_POLL_INTERVAL
--models-config-file YAML file containing a list of model backend configs (alias: --config-file) $LOCALAI_MODELS_CONFIG_FILE, $CONFIG_FILE
--artifact-download-concurrency 1 How many files of a model artifact to download at once. 1 downloads sequentially. Raising it helps artifacts split into many files on a fast link, at the cost of more concurrent load on the models volume. Whole files only — a single file is never split, so resume and per-file checksum verification are unaffected $LOCALAI_ARTIFACT_DOWNLOAD_CONCURRENCY

Backend Flags

Parameter Default Description Environment Variable
--backends-path BASEPATH/backends Path containing backends used for inferencing $LOCALAI_BACKENDS_PATH, $BACKENDS_PATH
--backends-system-path /var/lib/local-ai/backends Path containing system backends used for inferencing $LOCALAI_BACKENDS_SYSTEM_PATH, $BACKEND_SYSTEM_PATH
--external-backends A list of external backends to load from gallery on boot $LOCALAI_EXTERNAL_BACKENDS, $EXTERNAL_BACKENDS
--external-grpc-backends A list of external gRPC backends (format: BACKEND_NAME:URI) $LOCALAI_EXTERNAL_GRPC_BACKENDS, $EXTERNAL_GRPC_BACKENDS
--backend-galleries JSON list of backend galleries $LOCALAI_BACKEND_GALLERIES, $BACKEND_GALLERIES
--autoload-backend-galleries true Automatically load backend galleries on startup $LOCALAI_AUTOLOAD_BACKEND_GALLERIES, $AUTOLOAD_BACKEND_GALLERIES
--max-active-backends 0 Maximum number of active backends (loaded models). When exceeded, the least recently used model is evicted. Set to 0 for unlimited, 1 for single-backend mode $LOCALAI_MAX_ACTIVE_BACKENDS, $MAX_ACTIVE_BACKENDS
--single-active-backend false DEPRECATED - Use --max-active-backends=1 instead. Allow only one backend to be run at a time $LOCALAI_SINGLE_ACTIVE_BACKEND, $SINGLE_ACTIVE_BACKEND
--preload-backend-only false Do not launch the API services, only the preloaded models/backends are started (useful for multi-node setups) $LOCALAI_PRELOAD_BACKEND_ONLY, $PRELOAD_BACKEND_ONLY
--enable-watchdog-idle false Enable watchdog for stopping backends that are idle longer than the watchdog-idle-timeout $LOCALAI_WATCHDOG_IDLE, $WATCHDOG_IDLE
--watchdog-idle-timeout 15m Threshold beyond which an idle backend should be stopped $LOCALAI_WATCHDOG_IDLE_TIMEOUT, $WATCHDOG_IDLE_TIMEOUT
--enable-watchdog-busy false Enable watchdog for stopping backends that are busy longer than the watchdog-busy-timeout $LOCALAI_WATCHDOG_BUSY, $WATCHDOG_BUSY
--watchdog-busy-timeout 5m Threshold beyond which a busy backend should be stopped $LOCALAI_WATCHDOG_BUSY_TIMEOUT, $WATCHDOG_BUSY_TIMEOUT
--watchdog-interval 500ms Interval between watchdog checks (e.g., 500ms, 5s, 1m) $LOCALAI_WATCHDOG_INTERVAL, $WATCHDOG_INTERVAL
--force-eviction-when-busy false Force eviction even when models have active API calls (default: false for safety). Warning: Enabling this can interrupt active requests $LOCALAI_FORCE_EVICTION_WHEN_BUSY, $FORCE_EVICTION_WHEN_BUSY
--lru-eviction-max-retries 30 Maximum number of retries when waiting for busy models to become idle before eviction $LOCALAI_LRU_EVICTION_MAX_RETRIES, $LRU_EVICTION_MAX_RETRIES
--lru-eviction-retry-interval 1s Interval between retries when waiting for busy models to become idle (e.g., 1s, 2s) $LOCALAI_LRU_EVICTION_RETRY_INTERVAL, $LRU_EVICTION_RETRY_INTERVAL
--model-load-failure-cooldown 10s After a model load fails, refuse new load attempts for that model for this long (HTTP 503 + Retry-After) so a client polling a broken model doesn't respawn a crashing backend every request. Doubles per consecutive failure up to 5m; reset on success. 0 disables $LOCALAI_MODEL_LOAD_FAILURE_COOLDOWN, $MODEL_LOAD_FAILURE_COOLDOWN

For more information on VRAM management, see [VRAM and Memory Management]({{%relref "advanced/vram-management" %}}).

Models Flags

Parameter Default Description Environment Variable
--galleries JSON list of galleries $LOCALAI_GALLERIES, $GALLERIES
--autoload-galleries true Automatically load galleries on startup $LOCALAI_AUTOLOAD_GALLERIES, $AUTOLOAD_GALLERIES
--vram-persistent-cache true Persist successful remote VRAM metadata probes across restarts $LOCALAI_VRAM_PERSISTENT_CACHE, $VRAM_PERSISTENT_CACHE
--preload-models A list of models to apply in JSON at start $LOCALAI_PRELOAD_MODELS, $PRELOAD_MODELS
--models A list of model configuration URLs to load $LOCALAI_MODELS, $MODELS
--preload-models-config A list of models to apply at startup. Path to a YAML config file $LOCALAI_PRELOAD_MODELS_CONFIG, $PRELOAD_MODELS_CONFIG
--load-to-memory A list of models to load into memory at startup $LOCALAI_LOAD_TO_MEMORY, $LOAD_TO_MEMORY

Note: You can also pass model configuration URLs as positional arguments: local-ai run MODEL_URL1 MODEL_URL2 ...

Performance Flags

Parameter Default Description Environment Variable
--f16 false Enable GPU acceleration $LOCALAI_F16, $F16
-t, --threads Number of threads used for parallel computation. Usage of the number of physical cores in the system is suggested $LOCALAI_THREADS, $THREADS
--context-size Default context size for models (-1 = each model's full trained context from GGUF metadata) $LOCALAI_CONTEXT_SIZE, $CONTEXT_SIZE

API Flags

Parameter Default Description Environment Variable
--address :8080 Bind address for the API server $LOCALAI_ADDRESS, $ADDRESS
--max-concurrent-backend-requests 1024 Process-wide ceiling for concurrent backend inference operations. Excess inference receives HTTP 503 with Retry-After; UI and administrative endpoints remain available $LOCALAI_MAX_CONCURRENT_BACKEND_REQUESTS, $MAX_CONCURRENT_BACKEND_REQUESTS
--cors false Enable CORS (Cross-Origin Resource Sharing) $LOCALAI_CORS, $CORS
--cors-allow-origins Comma-separated list of allowed CORS origins $LOCALAI_CORS_ALLOW_ORIGINS, $CORS_ALLOW_ORIGINS
--csrf false Enable Fiber CSRF middleware $LOCALAI_CSRF
--disable-http-compression false Disable gzip compression of HTTP responses. Compression is enabled by default; streaming endpoints (streaming chat completions, SSE bridges, WebSocket upgrades) and already-compressed formats are never compressed $LOCALAI_DISABLE_HTTP_COMPRESSION
--http-compression-min-length 1024 Minimum response size in bytes before gzip compression is applied. Smaller responses are sent as-is because the gzip envelope would outweigh the saving $LOCALAI_HTTP_COMPRESSION_MIN_LENGTH
--upload-limit 15 Default upload-limit in MB $LOCALAI_UPLOAD_LIMIT, $UPLOAD_LIMIT
--api-keys List of API Keys to enable API authentication. When this is set, all requests must be authenticated with one of these API keys $LOCALAI_API_KEY, $API_KEY
--disable-webui false Disables the web user interface. When set to true, the server will only expose API endpoints without serving the web interface $LOCALAI_DISABLE_WEBUI, $DISABLE_WEBUI
--disable-runtime-settings false Disables the runtime settings feature. When set to true, the server will not load runtime settings from the runtime_settings.json file and the settings web interface will be disabled $LOCALAI_DISABLE_RUNTIME_SETTINGS, $DISABLE_RUNTIME_SETTINGS
--disable-gallery-endpoint false Disable the gallery endpoints $LOCALAI_DISABLE_GALLERY_ENDPOINT, $DISABLE_GALLERY_ENDPOINT
--disable-metrics-endpoint false Disable the /metrics endpoint $LOCALAI_DISABLE_METRICS_ENDPOINT, $DISABLE_METRICS_ENDPOINT
--machine-tag If not empty, add that string to Machine-Tag header in each response. Useful to track response from different machines using multiple P2P federated nodes $LOCALAI_MACHINE_TAG, $MACHINE_TAG

Hardening Flags

Parameter Default Description Environment Variable
--disable-predownload-scan false If true, disables the best-effort security scanner before downloading any files $LOCALAI_DISABLE_PREDOWNLOAD_SCAN
--opaque-errors false If true, all error responses are replaced with blank 500 errors. This is intended only for hardening against information leaks and is normally not recommended $LOCALAI_OPAQUE_ERRORS
--use-subtle-key-comparison false If true, API Key validation comparisons will be performed using constant-time comparisons rather than simple equality. This trades off performance on each request for resilience against timing attacks $LOCALAI_SUBTLE_KEY_COMPARISON
--disable-api-key-requirement-for-http-get false If true, a valid API key is not required to issue GET requests to portions of the web UI. This should only be enabled in secure testing environments $LOCALAI_DISABLE_API_KEY_REQUIREMENT_FOR_HTTP_GET
--http-get-exempted-endpoints ^/$,^/app(/.*)?$,^/browse(/.*)?$,^/login/?$,^/explorer/?$,^/assets/.*$,^/static/.*$,^/swagger.*$ If --disable-api-key-requirement-for-http-get is overridden to true, this is the list of endpoints to exempt. Only adjust this in case of a security incident or as a result of a personal security posture review $LOCALAI_HTTP_GET_EXEMPTED_ENDPOINTS

Authentication Flags

Parameter Default Description Environment Variable
--auth-enabled false Enable user authentication and authorization $LOCALAI_AUTH
--auth-database-url {DataPath}/database.db Database URL for auth - postgres://... for PostgreSQL, or a file path for SQLite $LOCALAI_AUTH_DATABASE_URL, $DATABASE_URL
--github-client-id GitHub OAuth App Client ID (auto-enables auth when set) $GITHUB_CLIENT_ID
--github-client-secret GitHub OAuth App Client Secret $GITHUB_CLIENT_SECRET
--oidc-issuer OIDC issuer URL for auto-discovery $LOCALAI_OIDC_ISSUER
--oidc-client-id OIDC Client ID (auto-enables auth when set) $LOCALAI_OIDC_CLIENT_ID
--oidc-client-secret OIDC Client Secret $LOCALAI_OIDC_CLIENT_SECRET
--auth-base-url Base URL for OAuth callbacks (e.g. http://localhost:8080) $LOCALAI_BASE_URL
--auth-admin-email Email address to auto-promote to admin role on login $LOCALAI_ADMIN_EMAIL
--auth-registration-mode open Registration mode: open, approval, or invite $LOCALAI_REGISTRATION_MODE
--disable-local-auth false Disable local email/password registration and login (for OAuth/OIDC-only setups) $LOCALAI_DISABLE_LOCAL_AUTH

See [Authentication & Authorization]({{%relref "features/authentication" %}}) for full documentation.

Chat Flags

Use local-ai chat to run the built-in terminal agent against a LocalAI server. The agent can run shell commands, delegate to sub-agents, and use MCP tools. Read-only calls run on their own; everything else goes through an approval prompt you answer. See [Terminal agent]({{% relref "features/terminal-agent" %}}) for the full feature page.

Parameter Default Description Environment Variable
--endpoint http://127.0.0.1:8080 LocalAI server endpoint. The /v1 path is added automatically when omitted. $LOCALAI_CHAT_ENDPOINT
--model Model to use. Defaults to the only model the server offers, or asks when there are several.
--api-key API key to use when the LocalAI server requires authentication. $LOCALAI_API_KEY, $API_KEY
--config-dir ~/.config/localai/chat Directory holding the agent's config, plugins, and skills. $LOCALAI_CHAT_CONFIG_DIR
--trace-dir Write a session LLM trace (NDJSON) to this directory. $LOCALAI_CHAT_TRACE_DIR
--cli false Plain CLI mode instead of the full-screen interface. Pipe stdin for one-shot use.
--tui false Force the full-screen interface.
--height Run as an inline drop-down of this height, e.g. 40%.
--tmux / --no-tmux Control the tmux split.
--init Print the shell integration script for Ctrl+Space (zsh, bash, or fish).
--yolo false Auto-approve every tool call. Use with care. $LOCALAI_CHAT_YOLO

The agent's own subcommands are reached by passing them through. LocalAI's flags must come first, because everything after the first positional argument is forwarded verbatim:

local-ai chat plugin install https://github.com/user/plugin
local-ai chat skill list
local-ai chat mcp add my-server -- npx -y @modelcontextprotocol/server-filesystem /tmp
local-ai chat --config-dir /srv/agent plugin list   # flags first

{{% notice warning %}} In a script, pass --yes to those subcommands. Without it, a non-interactive plugin install installs the plugin, leaves it disabled, and still exits 0. {{% /notice %}}

Summon the agent from any shell prompt with Ctrl+Space:

echo 'eval "$(local-ai chat --init zsh)"' >> ~/.zshrc

Inside a session:

  • /models lists the models the server offers, marking the current one.
  • /model <name> switches model, keeping the conversation.
  • /compact summarizes the conversation so far to free up context.
  • /skill <name>, /agent <name> <task>, /attach <file>, /goal <text>.

If no server is reachable, the agent offers to start one for the session (interactive terminals only) and otherwise points you at local-ai run.

Piped use needs --cli, and exits 0 when it answers:

echo "what is 2+2" | local-ai chat --cli

Read-only tools still run in a piped session. A tool call that is not read-only has nobody to approve it, so it is denied and the session exits 3, a code chosen to be distinct from the 1 a failure reports.

P2P Flags

Parameter Default Description Environment Variable
--p2p false Enable P2P mode $LOCALAI_P2P, $P2P
--p2p-dht-interval 360 Interval for DHT refresh (used during token generation) $LOCALAI_P2P_DHT_INTERVAL, $P2P_DHT_INTERVAL
--p2p-otp-interval 9000 Interval for OTP refresh (used during token generation) $LOCALAI_P2P_OTP_INTERVAL, $P2P_OTP_INTERVAL
--p2ptoken Token for P2P mode (optional) $LOCALAI_P2P_TOKEN, $P2P_TOKEN, $TOKEN
--p2p-network-id Network ID for P2P mode, can be set arbitrarily by the user for grouping a set of instances $LOCALAI_P2P_NETWORK_ID, $P2P_NETWORK_ID
--federated false Enable federated instance $LOCALAI_FEDERATED, $FEDERATED

Other Commands

LocalAI supports several subcommands beyond run:

  • local-ai models - Manage LocalAI models and definitions
  • local-ai backends - Manage LocalAI backends and definitions
  • local-ai chat - Run the built-in terminal agent against a LocalAI server
  • local-ai tts - Convert text to speech
  • local-ai sound-generation - Generate audio files from text or audio
  • local-ai transcript - Convert audio to text
  • local-ai agent - Run agents standalone without the full LocalAI server
  • local-ai mcp-server - Run the LocalAI admin tool surface as a stdio MCP server (controls a remote LocalAI instance over HTTP)
  • local-ai worker - Start a worker for distributed mode (generic, backend-agnostic)
  • local-ai p2p-worker - Run workers to distribute workload via p2p (llama.cpp-only)
  • local-ai agent-worker - Start an agent worker for distributed mode (executes agent chats via NATS)
  • local-ai util - Utility commands
  • local-ai explorer - Run P2P explorer
  • local-ai federated - Run LocalAI in federated mode
  • local-ai completion - Generate shell completion scripts for bash, zsh, or fish

Use local-ai <command> --help for more information on each command.

Examples

Basic Usage

./local-ai run

./local-ai run --models-path /path/to/models --address :9090

./local-ai run --f16

Environment Variables

export LOCALAI_MODELS_PATH=/path/to/models
export LOCALAI_ADDRESS=:9090
export LOCALAI_F16=true
./local-ai run

Advanced Configuration

./local-ai run \
  --models model1.yaml model2.yaml \
  --enable-watchdog-idle \
  --watchdog-idle-timeout=10m \
  --p2p \
  --federated
  • See [Advanced Usage]({{%relref "advanced/advanced-usage" %}}) for configuration examples
  • See [VRAM and Memory Management]({{%relref "advanced/vram-management" %}}) for memory management options