frigate/docs/docs/configuration/advanced/system.md

id, title

id	title
system	System

import ConfigTabs from "@site/src/components/ConfigTabs"; import TabItem from "@theme/TabItem"; import NavPath from "@site/src/components/NavPath";

Logging

Frigate logger

Change the default log level for troubleshooting purposes.

Navigate to .

Field	Description
Logging level	The default log level for all modules (default: info)
Per-process log level	Override the log level for specific modules

logger:
  # Optional: default log level (default: shown below)
  default: info
  # Optional: module by module log level configuration
  logs:
    frigate.mqtt: error

Available log levels are: debug, info, warning, error, critical

Examples of available modules are:

• frigate.app
• frigate.mqtt
• frigate.object_detection.base
• detector.<detector_name>
• watchdog.<camera_name>
• ffmpeg.<camera_name>.<sorted_roles> NOTE: All FFmpeg logs are sent as error level.

Go2RTC Logging

See the go2rtc docs for logging configuration

go2rtc:
  streams:
    # ...
  log:
    exec: trace

environment_vars

This section sets environment variables in the Frigate process for those unable to modify the environment of the container, like within Home Assistant OS. It's meant for process settings such as LIBVA_DRIVER_NAME or the TensorFlow thread counts below. Docker users should set environment variables in their docker run command (-e LIBVA_DRIVER_NAME=i965) or docker-compose.yml file (environment: section) instead. Values set here are stored in plain text in your config file, so credentials belong in secrets.yaml, Docker environment variables, or Docker secrets instead.

Names prefixed with FRIGATE_ set here also take part in {FRIGATE_VARIABLE_NAME} substitution (see below), but secrets.yaml is the better home for them.

Navigate to to add or edit environment variables.

Field	Description
Variable name	The environment variable name (e.g., LIBVA_DRIVER_NAME)
Value	The value for the variable

Names prefixed with FRIGATE_ can also be referenced elsewhere in your configuration using the {FRIGATE_VARIABLE_NAME} syntax.

environment_vars:
  LIBVA_DRIVER_NAME: i965

TensorFlow Thread Configuration

If you encounter thread creation errors during classification model training, you can limit TensorFlow's thread usage:

Navigate to and add the following variables:

Variable	Description
TF_INTRA_OP_PARALLELISM_THREADS	Threads within operations (0 = use default)
TF_INTER_OP_PARALLELISM_THREADS	Threads between operations (0 = use default)
TF_DATASET_THREAD_POOL_SIZE	Data pipeline threads (0 = use default)

environment_vars:
  TF_INTRA_OP_PARALLELISM_THREADS: "2" # Threads within operations (0 = use default)
  TF_INTER_OP_PARALLELISM_THREADS: "2" # Threads between operations (0 = use default)
  TF_DATASET_THREAD_POOL_SIZE: "2" # Data pipeline threads (0 = use default)

secrets.yaml

A secrets.yaml file next to your config.yml is an additional source of FRIGATE_ variables, for installs that can't set container environment variables or mount Docker secrets. It's a flat map of names to values, and it is never read or written by the Frigate UI:

FRIGATE_CAM_USER: viewer
FRIGATE_CAM_PASS: "p@ss w0rd"
FRIGATE_MQTT_HOST: mqtt.internal.example

For Docker this is /config/secrets.yaml inside the container, so it lives in whatever host directory you mounted at /config. For the Home Assistant App it's /addon_configs/<addon_directory>/secrets.yaml, in the same folder as your config.yml; see the App config directory for the directory name for your variant.

Names must start with FRIGATE_, and nesting is not supported. secrets.yaml feeds {FRIGATE_VARIABLE_NAME} substitution, so the handful of variables Frigate reads straight from the process environment, such as FRIGATE_JWT_SECRET, still need a container environment variable or a Docker secret.

Substitution sources and precedence

The same {FRIGATE_VARIABLE_NAME} placeholder resolves from four sources. When a name is defined in more than one, the higher one wins and a warning at startup names which source was used.

Priority	Source	Where it's set	Who can use it
1 (highest)	Docker secrets	Files in /run/secrets, or the directory named by CREDENTIALS_DIRECTORY	Docker, systemd
2	Container environment	docker run -e, the environment: section of docker-compose.yml	Docker
3	secrets.yaml	Next to config.yml, see above	Everyone, including the HA App
4 (lowest)	environment_vars	The block in config.yml described above	Everyone, including the HA App

For example, with this secrets.yaml:

FRIGATE_MQTT_PASSWORD: from_secrets

and this config.yml:

environment_vars:
  FRIGATE_MQTT_PASSWORD: from_config

mqtt:
  password: "{FRIGATE_MQTT_PASSWORD}"

the password resolves to from_secrets, and the log shows FRIGATE_MQTT_PASSWORD is defined in more than one place, using the value from secrets.yaml. Add -e FRIGATE_MQTT_PASSWORD=from_env to the container and it resolves to from_env instead.

Referencing a name that no source defines is a config validation error naming the field.

database

Tracked object and recording information is managed in a sqlite database at /config/frigate.db. If that database is deleted, recordings will be orphaned and will need to be cleaned up manually. They also won't show up in the Media Browser within Home Assistant.

If you are storing your database on a network share (SMB, NFS, etc), you may get a database is locked error message on startup. You can customize the location of the database if necessary.

This may need to be in a custom location if network storage is used for the media folder.

Navigate to .

• Set Database path to the custom path for the Frigate database file (default: /config/frigate.db)

database:
  path: /path/to/frigate.db

model

If using a custom model, the width and height will need to be specified.

Custom models may also require different input tensor formats. The colorspace conversion supports RGB, BGR, or YUV frames to be sent to the object detector. The input tensor shape parameter is an enumeration to match what specified by the model.

Tensor Dimension	Description
N	Batch Size
H	Model Height
W	Model Width
C	Color Channels

Available Input Tensor Shapes
"nhwc"
"nchw"

Navigate to and, on the model you want to change, open the Custom Model tab to configure the model path, dimensions, and input format.

Field	Description
Custom object detector model path	Path to the custom model file
Object detection model input width	Model input width (default: 320)
Object detection model input height	Model input height (default: 320)
Advanced > Model Input Tensor Shape	Input tensor shape: nhwc or nchw
Advanced > Model Input Pixel Color Format	Pixel format: rgb, bgr, or yuv

# Optional: model config
models:
  - devices:
      - openvino:GPU
    path: /path/to/model
    width: 320
    height: 320
    input_tensor: "nhwc"
    input_pixel_format: "bgr"

labelmap

:::warning

If the labelmap is customized then the labels used for alerts will need to be adjusted as well. See alert labels for more info.

:::

The labelmap can be customized to your needs. A common reason to do this is to combine multiple object types that are easily confused when you don't need to be as granular such as car/truck. By default, truck is renamed to car because they are often confused. You cannot add new object types, but you can change the names of existing objects in the model.

models:
  - labelmap:
      2: vehicle
      3: vehicle
      5: vehicle
      7: vehicle
      15: animal
      16: animal
      17: animal

Note that if you rename objects in the labelmap, you will also need to update your objects -> track list as well.

:::warning

Some labels have special handling and modifications can disable functionality.

person objects are associated with face and amazon

car objects are associated with license_plate, ups, fedex, amazon

:::

Network Configuration

Frigate exposes a few networking options. IPv6 and the listen ports are set in the networking configuration (or from the Settings UI); more advanced changes require customizing the bundled Nginx configuration.

Enabling IPv6

By default Frigate listens on IPv4 only. To also listen on IPv6 (on port 5000, and on 8971 when TLS is configured), enable it in the networking configuration.

Navigate to and enable IPv6.

networking:
  ipv6:
    enabled: true

Listen on different ports

You can change the ports Nginx uses for listening. The internal port (unauthenticated) and external port (authenticated) can be changed independently. You can also specify an IP address using the format ip:port if you wish to bind the port to a specific interface. This may be useful for example to prevent exposing the internal port outside the container.

Navigate to to configure the listen ports.

Field	Description
Internal port	The unauthenticated listen address/port (default: 5000)
External port	The authenticated listen address/port (default: 8971)

networking:
  listen:
    internal: 127.0.0.1:5000
    external: 8971

:::warning

This setting is for advanced users. For the majority of use cases it's recommended to change the ports section of your Docker compose file or use the Docker run --publish option instead, e.g. -p 443:8971. Changing Frigate's ports may break some integrations.

The internal and external ports must be different port numbers, and Frigate will refuse to start otherwise. Requests arriving on the internal port are treated as authenticated admins, so pointing both at the same port would remove authentication from the external one.

Nginx binds these ports when it starts, so port changes only take effect after Frigate restarts.

:::

Customizing the Nginx configuration

More advanced changes to Frigate's internal network configuration can be made by bind mounting your own nginx.conf into the container. For example:

services:
  frigate:
    container_name: frigate
    ...
    volumes:
      ...
      - /path/to/your/nginx.conf:/usr/local/nginx/conf/nginx.conf

Base path

By default, Frigate runs at the root path (/). However some setups require to run Frigate under a custom path prefix (e.g. /frigate), especially when Frigate is located behind a reverse proxy that requires path-based routing.

Set Base Path via HTTP Header

The preferred way to configure the base path is through the X-Ingress-Path HTTP header, which needs to be set to the desired base path in an upstream reverse proxy.

For example, in Nginx:

location /frigate {
    proxy_set_header X-Ingress-Path /frigate;
    proxy_pass http://frigate_backend;
}

Set Base Path via Environment Variable

When it is not feasible to set the base path via a HTTP header, it can also be set via the FRIGATE_BASE_PATH environment variable in the Docker Compose file.

For example:

services:
  frigate:
    image: ghcr.io/blakeblackshear/frigate:stable
    environment:
      - FRIGATE_BASE_PATH=/frigate

This can be used for example to access Frigate via a Tailscale agent (https), by simply forwarding all requests to the base path (http):

tailscale serve --https=443 --bg --set-path /frigate http://localhost:5000/frigate

Custom Dependencies

Custom ffmpeg build

Included with Frigate is a build of ffmpeg that works for the vast majority of users. However, there exists some hardware setups which have incompatibilities with the included build. In this case, statically built ffmpeg and ffprobe binaries can be placed in /config/custom-ffmpeg/bin for Frigate to use.

To do this:

1. Download your ffmpeg build and uncompress it to the /config/custom-ffmpeg folder. Verify that both the ffmpeg and ffprobe binaries are located in /config/custom-ffmpeg/bin.
2. Update the ffmpeg.path in your Frigate config to /config/custom-ffmpeg.
3. Restart Frigate and the custom version will be used if the steps above were done correctly.

Custom go2rtc version

Frigate currently includes go2rtc v1.9.14, there may be certain cases where you want to run a different version of go2rtc.

To do this:

1. Download the go2rtc build to the /config folder.
2. Rename the build to go2rtc.
3. Give go2rtc execute permission.
4. Restart Frigate and the custom version will be used, you can verify by checking go2rtc logs.

Validating your config.yml file updates

When frigate starts up, it checks whether your config file is valid, and if it is not, the process exits. To minimize interruptions when updating your config, you have three options -- you can edit the config via the WebUI which has built in validation, use the config API, or you can validate on the command line using the frigate docker container.

Via API

Frigate can accept a new configuration file as JSON at the /api/config/save endpoint. When updating the config this way, Frigate will validate the config before saving it, and return a 400 if the config is not valid.

curl -X POST http://frigate_host:5000/api/config/save -d @config.json

if you'd like you can use your yaml config directly by using yq to convert it to json:

yq -o=json '.' config.yaml | curl -X POST 'http://frigate_host:5000/api/config/save?save_option=saveonly' --data-binary @-

Via Command Line

You can also validate your config at the command line by using the docker container itself. In CI/CD, you leverage the return code to determine if your config is valid, Frigate will return 1 if the config is invalid, or 0 if it's valid.

docker run                                \
  -v $(pwd)/config.yml:/config/config.yml \
  --entrypoint python3                    \
  ghcr.io/blakeblackshear/frigate:stable  \
  -u -m frigate                           \
  --validate-config