Add a notice registry and System Health tab (#24178)

* add a notice registry and System Health tab

Problems Frigate detects on its own (ffmpeg crash loops, stuck detectors, failed model downloads, recordings deleted before their retention period) only ever existed as log lines. This adds a `NoticeRegistry` in the main process backed by two tables, an `update_notice` IPC topic so producers in other processes can reach it through the dispatcher, an admin-only API and websocket topic, and a Health tab that lists them. Kinds declare their own mode, severity, and category in one place: state notices are resolved by their producer, event notices are dismissed by the user.

* treat a prerelease as behind its final release

* fix notices clearing early

* rename menu items and update docs

* don't resolve the update notice on a failed version lookup
This commit is contained in:
Josh Hawkins
2026-09-12 07:30:04 -06:00
committed by Nicolas Mowen
parent af60d2db48
commit f3a31e2fb4
55 changed files with 2346 additions and 117 deletions
+1 -1
View File
@@ -517,6 +517,6 @@ objects:
7. If descriptions are generated but the results are poor or inconsistent, look at the model and the context window.
- Empty fields, missing `shortSummary` values, or `Failed to parse review description` errors usually mean the model is not following the requested JSON schema. Smaller models struggle with structured output. Try a larger parameter size or one of the [recommended models](#recommended-local-models).
- Frigate calculates how many frames to send from the context size the provider reports. If your server reports a different value than it is actually running with, frames will be truncated or the request will fail. Pin the value by adding `context_size` under <NavPath path="Settings > Enrichments > Generative AI > Provider options" /> (`genai.<provider>.provider_options`), and for Ollama also confirm `options.num_ctx` there matches the context you have configured.
- Check **Review Description Speed** and **Object Description Speed** in <NavPath path="System metrics > Enrichments" />. If inference takes tens of seconds, requests will queue behind each other and descriptions will appear to stop. For Ollama, review `OLLAMA_NUM_PARALLEL`, `OLLAMA_MAX_QUEUE`, and `OLLAMA_MAX_LOADED_MODELS` so that concurrent requests from Frigate are handled the way you expect.
- Check **Review Description Speed** and **Object Description Speed** in <NavPath path="Health and Metrics > Enrichments" />. If inference takes tens of seconds, requests will queue behind each other and descriptions will appear to stop. For Ollama, review `OLLAMA_NUM_PARALLEL`, `OLLAMA_MAX_QUEUE`, and `OLLAMA_MAX_LOADED_MODELS` so that concurrent requests from Frigate are handled the way you expect.
</FaqItem>
@@ -697,7 +697,7 @@ lpr:
- You may need to adjust your `detection_threshold` if your plates are not being detected.
4. Ensure the characters on detected plates are being _recognized_.
- Check the **Plate recognition** inference time in Enrichment metrics (<NavPath path="System metrics > Enrichments" />). High inference times (> 100ms) could lead to poor recognition results, especially for dedicated LPR cameras where the plate crosses the frame quickly.
- Check the **Plate recognition** inference time in Enrichment metrics (<NavPath path="Health and Metrics > Enrichments" />). High inference times (> 100ms) could lead to poor recognition results, especially for dedicated LPR cameras where the plate crosses the frame quickly.
- Enable `debug_save_plates` to save images of detected text on plates to the clips directory (`/media/frigate/clips/lpr`). Ensure these images are readable and the text is clear.
- Watch the debug view to see plates recognized in real-time. For non-dedicated LPR cameras, the vehicle's label will change to the recognized plate when LPR is enabled and working.
- Adjust `recognition_threshold` settings per the suggestions [above](#advanced-configuration).
+1 -1
View File
@@ -134,7 +134,7 @@ Along with picking a detector for your hardware, you will choose a model's **inp
**Resolution (320x320 vs 640x640):** Frigate is optimized for `320x320` models, and `320x320` is the best choice for the vast majority of setups. Frigate is specifically designed to compensate for the smaller model by cropping a region of motion from the full frame and zooming into it before running detection, so a `320x320` model is actually _better_ at small and distant objects, not worse. A `640x640` model is slower and uses more resources, and its main benefit is fitting more objects into a single inference when many objects are spread across a large area. Recent versions of Frigate have improved support for `640x640` models, but `320x320` remains the recommended starting point for nearly all setups.
**Variant size (tiny/small/medium):** Larger variants are gradually more accurate but slower. Whether the difference is noticeable depends on your specific cameras and scenes. A good rule of thumb is to use the largest model your hardware can run without skipping detections, which you can monitor on the <NavPath path="System > Metrics > Cameras" /> page in the UI. Better accuracy only helps if your detector keeps up with the detection load across all cameras.
**Variant size (tiny/small/medium):** Larger variants are gradually more accurate but slower. Whether the difference is noticeable depends on your specific cameras and scenes. A good rule of thumb is to use the largest model your hardware can run without skipping detections, which you can monitor on the <NavPath path="Health and Metrics > Cameras" /> page in the UI. Better accuracy only helps if your detector keeps up with the detection load across all cameras.
**Acceptable inference time depends on your hardware.** Inference time alone does not tell the whole story, because different hardware has different capacity. A GPU can run multiple instances of the same model concurrently, so an inference time around 30ms can still keep up with several cameras. A Google Coral runs only a single instance of the model, so it needs a much lower inference time (around 10ms) to keep up.
+1 -1
View File
@@ -515,7 +515,7 @@ The storage usage Frigate reports will not exactly match what the operating syst
### How Frigate measures recording usage
The **Recordings** value on the Storage Metrics page (<NavPath path="System > Storage" />), and the per-camera **Camera Storage** breakdown, is the sum of the recording segment sizes Frigate has written, taken from Frigate's database. It is **not** computed by a scan of the disk. Frigate tracks usage this way by design: repeatedly walking the entire drive to total its size would keep hard drives spun up and add unnecessary I/O.
The **Recordings** value on the Storage Metrics page (<NavPath path="Health and Metrics > Storage" />), and the per-camera **Camera Storage** breakdown, is the sum of the recording segment sizes Frigate has written, taken from Frigate's database. It is **not** computed by a scan of the disk. Frigate tracks usage this way by design: repeatedly walking the entire drive to total its size would keep hard drives spun up and add unnecessary I/O.
The disk **total** shown beside it, and the free-space figure Frigate uses to decide when to delete recordings, instead come from the operating system's report for the whole filesystem mounted at `/media/frigate`. As a result, the **Unused** value on the page is _total disk capacity minus Frigate's recordings_, not the drive's real free space, which will be lower whenever anything else is stored on the disk.
+1 -1
View File
@@ -60,7 +60,7 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
```bash
docker logs frigate
```
- Visit the Frigate Web UI (default: `http://<your-ip>:5000`) to confirm the new version is running. The version number is displayed at the top of the System Metrics page.
- Visit the Frigate Web UI (default: `http://<your-ip>:5000`) to confirm the new version is running. The version number is displayed at the top of the Health and Metrics page.
### Notes
+5 -1
View File
@@ -135,7 +135,7 @@ You can still configure Frigate to use UDP by using ffmpeg input args or the pre
### Frigate is slow to start up with a "probing detect stream" message in the logs
When `detect.width` and `detect.height` are not set, Frigate probes each camera's detect stream on startup (and when saving the config) to auto-detect its resolution. For RTSP streams Frigate probes with ffprobe and automatically retries over TCP if UDP doesn't respond, with a 5 second timeout per attempt. A camera that cannot be reached over either transport will add up to ~10 seconds to startup before Frigate falls through with default dimensions, which may show up as width `0` and height `0` in Camera Probe Info under System Metrics.
When `detect.width` and `detect.height` are not set, Frigate probes each camera's detect stream on startup (and when saving the config) to auto-detect its resolution. For RTSP streams Frigate probes with ffprobe and automatically retries over TCP if UDP doesn't respond, with a 5 second timeout per attempt. A camera that cannot be reached over either transport will add up to ~10 seconds to startup before Frigate falls through with default dimensions, which may show up as width `0` and height `0` in Camera Probe Info under Health and Metrics.
To skip the probe entirely and make startup instant, set `detect.width` and `detect.height` explicitly in your camera config:
@@ -181,3 +181,7 @@ Frigate's object detection relies on a machine learning [model](../frigate/gloss
- If the false positive is always in the same fixed spot (like a statue or mailbox that reads as a person), add an [object filter mask](../configuration/masks.md#object-filter-masks) over that location.
Filters and masks only hide the incorrect result - they don't teach Frigate what the object actually is. For that, fine-tune your own model or use Frigate+.
### Where do I see problems Frigate has detected?
Open System > Health. The Notices list shows problems the backend has noticed on its own, such as a camera whose ffmpeg keeps crashing, a detector that had to be restarted, a model download that failed, or recordings being deleted before their retention period. Entries that describe a one-time event can be dismissed; entries that describe an ongoing condition clear themselves once it is fixed.
+1 -1
View File
@@ -15,7 +15,7 @@ When a stream won't play or behaves oddly, the most important first step is to f
### 1. Read the go2rtc logs
Access the go2rtc logs in the Frigate UI under <NavPath path="System Logs" /> in the sidebar (select the **go2rtc** tab). If go2rtc cannot connect to your camera you will usually see a clear error here: `401 Unauthorized` (bad or incorrectly encoded credentials), `Connection refused` / `timeout` (wrong IP, port, or the camera is at its connection limit), or `404 Not Found` (wrong RTSP path, or the referenced stream name does not exist).
Access the go2rtc logs in the Frigate UI under <NavPath path="Logs" /> in the sidebar (select the **go2rtc** tab). If go2rtc cannot connect to your camera you will usually see a clear error here: `401 Unauthorized` (bad or incorrectly encoded credentials), `Connection refused` / `timeout` (wrong IP, port, or the camera is at its connection limit), or `404 Not Found` (wrong RTSP path, or the referenced stream name does not exist).
### 2. Test the stream in the go2rtc web interface
+1 -1
View File
@@ -374,7 +374,7 @@ If segments are only ~1 second instead of ~10 seconds, the camera is sending cor
:::tip
You don't have to run `ffprobe` by hand to catch this. Open a camera's **Camera Probe Info** dialog (the info icon on the System → Metrics → Cameras page) and check the **Keyframe analysis** section. It probes the record stream and flags sparse or variable keyframes, which is what smart/"+" codecs (H.264+/H.265+) and long keyframe intervals produce.
You don't have to run `ffprobe` by hand to catch this. Open a camera's **Camera Probe Info** dialog (the info icon on the Health and Metrics → Cameras page) and check the **Keyframe analysis** section. It probes the record stream and flags sparse or variable keyframes, which is what smart/"+" codecs (H.264+/H.265+) and long keyframe intervals produce.
:::
+90
View File
@@ -4108,6 +4108,96 @@ paths:
security:
- frigateAdminAuth: []
x-required-role: admin
/notices:
get:
tags:
- Notices
summary: Get Notices
description: |-
**Access:** Admin role required.
Get the active notices, most severe first.
Args:
include_dismissed: Also return event notices the user has dismissed
Returns:
The active notices
operationId: get_notices_notices_get
parameters:
- name: include_dismissed
in: query
required: false
schema:
type: boolean
default: false
title: Include Dismissed
responses:
'200':
description: Successful Response
content:
application/json:
schema: {}
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- frigateAdminAuth: []
x-required-role: admin
/notices/stats:
get:
tags:
- Notices
summary: Get Notice Stats
description: |-
**Access:** Admin role required.
Get lifetime occurrence counts per notice kind.
operationId: get_notice_stats_notices_stats_get
responses:
'200':
description: Successful Response
content:
application/json:
schema: {}
security:
- frigateAdminAuth: []
x-required-role: admin
/notices/{notice_id}/dismiss:
post:
tags:
- Notices
summary: Dismiss Notice
description: |-
**Access:** Admin role required.
Hide an event notice until it is raised again.
operationId: dismiss_notice_notices__notice_id__dismiss_post
parameters:
- name: notice_id
in: path
required: true
schema:
type: string
title: Notice Id
responses:
'200':
description: Successful Response
content:
application/json:
schema: {}
'422':
description: Validation Error
content:
application/json:
schema:
$ref: '#/components/schemas/HTTPValidationError'
security:
- frigateAdminAuth: []
x-required-role: admin
/events:
get:
tags: