Merge 28a9f81eb7 into c406a93d3d

Translated using Weblate (Norwegian Bokmål)
Currently translated at 100.0% (109 of 109 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: OverTheHillsAndFarAway <prosjektx@users.noreply.hosted.weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/nb_NO/ Translation: Frigate NVR/components-dialog
2026-09-30 11:56:49 +03:00 · 2026-07-16 03:13:44 -07:00 · 2026-07-15 04:05:16 +00:00 · 2026-07-15 04:05:15 +00:00 · 2026-07-15 04:05:14 +00:00 · 2026-07-15 04:05:14 +00:00
148 changed files with 4016 additions and 2447 deletions
@@ -82,7 +82,6 @@ frontdoor
 fstype
 fullchain
 fullscreen
-gatekeep
 genai
 generativeai
 genpts
@@ -10,11 +10,8 @@ body:

        Before submitting, read the [beta documentation][docs].

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [docs]: https://docs-dev.frigate.video/
        [discussions]: https://github.com/blakeblackshear/frigate/discussions
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: textarea
    id: description
    attributes:
@@ -8,12 +8,9 @@ body:

        Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [discussions]: https://www.github.com/blakeblackshear/frigate/discussions
        [docs]: https://docs.frigate.video
        [faq]: https://github.com/blakeblackshear/frigate/discussions/12724
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: textarea
    id: description
    attributes:
@@ -8,12 +8,9 @@ body:

        Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [discussions]: https://www.github.com/blakeblackshear/frigate/discussions
        [docs]: https://docs.frigate.video
        [faq]: https://github.com/blakeblackshear/frigate/discussions/12724
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: textarea
    id: description
    attributes:
@@ -8,12 +8,9 @@ body:

        Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [discussions]: https://www.github.com/blakeblackshear/frigate/discussions
        [docs]: https://docs.frigate.video
        [faq]: https://github.com/blakeblackshear/frigate/discussions/12724
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: textarea
    id: description
    attributes:
@@ -8,12 +8,9 @@ body:

        Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [discussions]: https://www.github.com/blakeblackshear/frigate/discussions
        [docs]: https://docs.frigate.video
        [faq]: https://github.com/blakeblackshear/frigate/discussions/12724
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: textarea
    id: description
    attributes:
@@ -8,12 +8,9 @@ body:

        Before submitting your support request, please [search the discussions][discussions], read the [official Frigate documentation][docs], and read the [Frigate FAQ][faq] pinned at the Discussion page to see if your question has already been answered by the community.

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [discussions]: https://www.github.com/blakeblackshear/frigate/discussions
        [docs]: https://docs.frigate.video
        [faq]: https://github.com/blakeblackshear/frigate/discussions/12724
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: textarea
    id: description
    attributes:
@@ -10,12 +10,9 @@ body:

        **If you are looking for support, start a new discussion and use a support category.**

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [discussions]: https://www.github.com/blakeblackshear/frigate/discussions
        [docs]: https://docs.frigate.video
        [faq]: https://github.com/blakeblackshear/frigate/discussions/12724
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: textarea
    id: description
    attributes:
@@ -12,14 +12,11 @@ body:

        **If you are unsure if your issue is actually a bug or not, please submit a support request first.**

-        By posting here you agree to follow our [AI policy][ai-policy]. Posts that appear to be written by an AI on your behalf may be closed without a response.
-
        [discussions]: https://www.github.com/blakeblackshear/frigate/discussions
        [prs]: https://www.github.com/blakeblackshear/frigate/pulls
        [docs]: https://docs.frigate.video
        [faq]: https://github.com/blakeblackshear/frigate/discussions/12724
        [ai]: https://docs.frigate.video
-        [ai-policy]: https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
  - type: checkboxes
    attributes:
      label: Checklist
@@ -7,13 +7,6 @@ assignees: ''

 ---

-<!--
-  By posting here you agree to follow our AI policy:
-  https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md
-
-  Requests that appear to be written by an AI on your behalf may be closed without a response.
-->
-
 **Describe what you are trying to accomplish and why in non technical terms**
 I want to be able to ... so that I can ... 

@@ -1,4 +1,4 @@
-_Please read the [contributing guidelines](https://github.com/blakeblackshear/frigate/blob/dev/CONTRIBUTING.md) and the [AI policy](https://github.com/blakeblackshear/frigate/blob/dev/AI_POLICY.md) before submitting a PR. Every PR must be read and submitted by a person, and PRs that appear to be unreviewed AI output will be closed without review._
+_Please read the [contributing guidelines](https://github.com/blakeblackshear/frigate/blob/dev/CONTRIBUTING.md) before submitting a PR._

 ## Proposed change

@@ -1,126 +0,0 @@
-# Frigate AI Policy
-
-## TL;DR
-
- **Use AI tools if they help you.** We do too. This is about what you post, not which tools you use to write it.
- **A person has to read it and send it.** Don't wire a bot or an agent up to post on your behalf.
- **Write your posts yourself.** Your own words, the template filled in, and you answering maintainers rather than your assistant.
- **Don't paste an AI's guess at the cause as though it were a diagnosis.** Tell us what you actually observed.
- **Read your code before you submit it.** Disclose that AI was used, and be ready to explain every line.
- **If we misjudge something you wrote, just say so.** We'll take you at your word.
-
-The rest of this document explains each of these, and why.
-
-## Scope
-
-AI tools are a reality of modern development and we're not opposed to their use. You are responsible for anything you submit, however it was produced, and we are responsible for anything we merge and release. We hold a high bar for both.
-
-This policy applies everywhere this project is discussed: issues, discussions, pull requests, code reviews, and commit comments.
-
-## Why this exists
-
-Frigate is built and supported by a small group of maintainers and a community of volunteers who read every post and review every pull request. Nobody here is paid to do it, and time spent reading a post is time not spent fixing bugs or building features.
-
-We're not opposed to AI tools. We use them too. But content generated by an AI and submitted without review costs a real person real time, and usually gives them less to work with than a few honest sentences would have. That is the problem this policy addresses.
-
-## A person has to be in the loop
-
-Every issue, discussion, comment, and pull request here must be read and submitted by a person. Using an AI tool to help you write is fine. Wiring one up to post on your behalf is not.
-
-Specifically, do not:
-
- Connect a bot or agent to GitHub that opens issues, discussions, or pull requests without you reading them first
- Post output from a tool you have not read
- Use tooling to file bulk or drive-by contributions across the repository
-
-We will close anything we believe was posted without a person reading it, and we may mark it as spam. Posts that skip the templates are the most common sign of this.
-
-## Issues, discussions, and comments
-
-We do not mind if you use AI tools to help you write. Do not have tools post unreviewed content on your behalf. We may hide any comment we believe to be unreviewed AI output.
-
-Keep posts to what is needed to communicate your point. A long, confidently written, AI-padded post is harder to help with than a short direct one, not easier, and it is usually obvious.
-
-**Describe your actual problem in your own words.** Tell us what you did, what you expected, and what actually happened. That is the information we need, and only you have it.
-
-**Do not paste an AI's guess at the cause as though it were a diagnosis.** It is frequently wrong in ways that send everyone down the wrong path, and it buries the details that would have led to the real answer. We would rather see what you observed than what a model inferred.
-
-**Fill in the template completely.** The templates ask for logs, config, version, and hardware because those are the things needed to help you. An AI cannot supply them for you, and a post missing them cannot be acted on.
-
-**Answer maintainers yourself.** If we ask you a question, we are asking _you_, not your AI assistant. These are the spaces where we build trust and understanding with the community, and that only works if we're talking to each other. Using AI to fix your grammar or clarity is fine, but the substance has to be yours.
-
-This applies to pull request descriptions and review replies as much as it does to bug reports and discussions.
-
-### Quoting AI output
-
-If you want to include something an AI told you, it must be:
-
- In a quote block, using `>`
- Disclosed as AI output, saying which tool it came from
- Accompanied by your own comment explaining why you think it is relevant
-
-Keep the excerpt short. Do not paste long transcripts.
-
-### Non-native English speakers
-
-AI is genuinely useful for participating in a project that operates in English, and we would rather hear from you through a translation tool than not hear from you at all. Using AI to improve the grammar or clarity of something you wrote yourself is fine.
-
-If you are translating your posts, make sure the translation says what you meant. Including your original text in a `<details>` block helps us verify the translation if something reads oddly, and keeps the thread readable.
-
-## Code contributions
-
-We need to understand your relationship with the code you're submitting. The more AI was involved, the more important it is that you've genuinely reviewed, tested, and understood what it produced.
-
-Because of the long-term maintenance burden every merged change creates, we require a human in the loop who understands the work the AI produced. Pull requests that appear to be unreviewed AI output will be closed without review.
-
-### Requirements when AI is used
-
-If AI is used to generate any portion of the code, contributors must adhere to the following requirements:
-
-1. **Explicitly disclose the manner in which AI was employed.** The PR template asks for this. Be honest, this won't automatically disqualify your PR. We'd rather have an honest disclosure than find out later. Trust matters more than method.
-2. **Perform a comprehensive manual review prior to submitting the pull request.** Don't submit code you haven't read carefully and tested locally.
-3. **Be prepared to explain every line of code you submitted when asked about it by a maintainer.** If you can't explain why something works the way it does, you're not ready to submit it.
-4. **Check for an existing pull request addressing the same change.** If one exists, comment there and work with its author instead of opening a duplicate.
-5. **It is strictly prohibited to use AI to write your posts for you** (bug reports, feature requests, pull request descriptions, GitHub discussions, responding to humans, etc.). We need to hear from _you_, not your AI assistant. These are the spaces where we build trust and understanding with contributors, and that only works if we're talking to each other.
-
-### Established contributors
-
-Contributors with a long history of thoughtful, quality contributions to Frigate have earned trust through that track record. The level of scrutiny we apply to AI usage naturally reflects that trust. This isn't a formal exemption, it's just how trust works. If you've been around, we know how you think and how you work. If you're new, we're still getting to know you, and clear disclosure helps build that relationship.
-
-### What this means in practice
-
-We're not trying to gatekeep how you write code. Use whatever tools make you productive. But there's a difference between using AI as a tool to implement something you understand and handing a feature request to an AI and submitting whatever comes back. The former is fine. The latter creates maintenance risk for the project.
-
-Some honest context: when we review a PR, we're not just evaluating whether the code works today. We're evaluating whether we can maintain it, debug it, and extend it long-term, often without the original author's involvement. Code that the author doesn't deeply understand is code that nobody understands, and that's a liability.
-
-One more thing worth saying directly: most maintainers already have access to the same AI tools you do. A PR that's entirely AI-generated, where the author can't explain the design, debug issues independently, or engage substantively in design discussions, doesn't offer something we couldn't produce ourselves. What makes a contribution genuinely valuable is the human judgment and domain understanding behind it, as well as the engagement during review that shapes it into something we can confidently take on long-term.
-
-## Our use of AI
-
-The Frigate documentation site has an "Ask AI" search that answers questions from the docs, and we may use AI tooling to help with triage and project management. Like any automated tooling, it is not always right.
-
-If an AI tool leaves a comment on your contribution, treat it the way you would any other comment. If you think it is wrong, say so, and a brief explanation is enough. Maintainers always have the final say.
-
-## Enforcement
-
-Contributions and posts that do not follow this policy will be closed. Depending on the situation, maintainers may also:
-
- Hide or delete comments that appear to be unreviewed AI output
- Mark automated content as spam
- Close an issue, discussion, or pull request without further review
- Lock a conversation
- Temporarily or permanently block an account from participating in the project
-
-Repeated violations may result in being blocked from contributing to Frigate.
-
-### When we get it wrong
-
-There is no reliable way to detect this, and we're not going to pretend otherwise. Whether something reads as unreviewed AI output is a judgment call, usually made quickly, by a volunteer with limited time and no way to know for certain. These calls are subjective and we won't always get them right.
-
-If it happens to you, just say so. A short reply telling us you wrote it yourself is enough, and we'll take you at your word and pick the conversation back up. We would much rather occasionally reopen something we misjudged than treat everyone who posts here as a suspect.
-
-We'd ask for some understanding in return. These calls get made quickly because the volume is real, and time spent second-guessing them is time not spent helping the person in the next thread.
-
-## Attribution
-
-Portions of this policy are adapted from the [Open Home Foundation AI Policy](https://developers.home-assistant.io/docs/ai_policy/).
@@ -2,8 +2,6 @@

 Thank you for your interest in contributing to Frigate. This document covers the expectations and guidelines for contributions. Please read it before submitting a pull request.

-All participation in this project, including pull requests, issues, and discussions, is covered by our [AI policy](AI_POLICY.md).
-
 ## Before you start

 ### Bugfixes
@@ -23,16 +21,28 @@ Before writing code for a new feature:

 ## AI usage policy

-AI tools are a reality of modern development and we're not opposed to their use. But we need to understand your relationship with the code you're submitting, and we need to hear from you rather than from your AI assistant.
+AI tools are a reality of modern development and we're not opposed to their use. But we need to understand your relationship with the code you're submitting. The more AI was involved, the more important it is that you've genuinely reviewed, tested, and understood what it produced.

-**Read the [AI policy](AI_POLICY.md) before you open a pull request.** It is short, and it applies to everything you post here. The parts that most often catch people out:
+### Requirements when AI is used

- A person has to be in the loop. Don't wire a bot or agent up to open pull requests, issues, or discussions on your behalf.
- Disclose how AI was used. The PR template asks for this. Be honest, it won't automatically disqualify your PR.
- Review and test everything you submit, and be prepared to explain every line when asked.
- Don't use AI to write your PR description or your replies to maintainers.
+If AI is used to generate any portion of the code, contributors must adhere to the following requirements:

-Pull requests that appear to be unreviewed AI output will be closed without review.
+1. **Explicitly disclose the manner in which AI was employed.** The PR template asks for this. Be honest — this won't automatically disqualify your PR. We'd rather have an honest disclosure than find out later. Trust matters more than method.
+2. **Perform a comprehensive manual review prior to submitting the pull request.** Don't submit code you haven't read carefully and tested locally.
+3. **Be prepared to explain every line of code they submitted when asked about it by a maintainer.** If you can't explain why something works the way it does, you're not ready to submit it.
+4. **It is strictly prohibited to use AI to write your posts for you** (bug reports, feature requests, pull request descriptions, GitHub discussions, responding to humans, etc.). We need to hear from _you_, not your AI assistant. These are the spaces where we build trust and understanding with contributors, and that only works if we're talking to each other.
+
+### Established contributors
+
+Contributors with a long history of thoughtful, quality contributions to Frigate have earned trust through that track record. The level of scrutiny we apply to AI usage naturally reflects that trust. This isn't a formal exemption — it's just how trust works. If you've been around, we know how you think and how you work. If you're new, we're still getting to know you, and clear disclosure helps build that relationship.
+
+### What this means in practice
+
+We're not trying to gatekeep how you write code. Use whatever tools make you productive. But there's a difference between using AI as a tool to implement something you understand and handing a feature request to an AI and submitting whatever comes back. The former is fine. The latter creates maintenance risk for the project.
+
+Some honest context: when we review a PR, we're not just evaluating whether the code works today. We're evaluating whether we can maintain it, debug it, and extend it long-term — often without the original author's involvement. Code that the author doesn't deeply understand is code that nobody understands, and that's a liability.
+
+One more thing worth saying directly: most maintainers already have access to the same AI tools you do. A PR that's entirely AI-generated — where the author can't explain the design, debug issues independently, or engage substantively in design discussions — doesn't offer something we couldn't produce ourselves. What makes a contribution genuinely valuable is the human judgment and domain understanding behind it, as well as the engagement during review that shapes it into something we can confidently take on long-term.

 ## Pull request guidelines

@@ -81,10 +81,10 @@ RUN --mount=type=bind,source=docker/main/install_tempio.sh,target=/deps/install_
 FROM base_host AS ov-converter
 ARG DEBIAN_FRONTEND

-# Install OpenVINO for model conversion
+# Install OpenVino Runtime and Dev library
 COPY docker/main/requirements-ov.txt /requirements-ov.txt
 RUN apt-get -qq update \
-    && apt-get -qq install -y wget python3 python3-distutils \
+    && apt-get -qq install -y wget python3 python3-dev python3-distutils gcc pkg-config libhdf5-dev \
    && wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
    && sed -i 's/args.append("setuptools")/args.append("setuptools==77.0.3")/' get-pip.py \
    && python3 get-pip.py "pip" \
@@ -1,42 +1,11 @@
-"""Convert the default SSDLite MobileNet v2 model to OpenVINO IR.
-
-Replaces the legacy openvino-dev Model Optimizer conversion. The TensorFlow
-frontend converts the Object Detection API frozen graph natively; the four TF
-outputs are then repacked into the single [1, 1, 100, 7] DetectionOutput-style
-tensor that Frigate's OpenVINO detector expects, and the input is flipped to
-BGR to match the legacy reverse_input_channels behavior.
-"""
-
-import numpy as np
 import openvino as ov
-from openvino import opset8 as ops
-from openvino.preprocess import PrePostProcessor
+from openvino.tools import mo

-model = ov.convert_model(
+ov_model = mo.convert_model(
    "/models/ssdlite_mobilenet_v2_coco_2018_05_09/frozen_inference_graph.pb",
-    input=[("image_tensor:0", [1, 300, 300, 3])],
+    compress_to_fp16=True,
+    transformations_config="/usr/local/lib/python3.11/dist-packages/openvino/tools/mo/front/tf/ssd_v2_support.json",
+    tensorflow_object_detection_api_pipeline_config="/models/ssdlite_mobilenet_v2_coco_2018_05_09/pipeline.config",
+    reverse_input_channels=True,
 )
-
-# rows of (image_id, class_id, score, xmin, ymin, xmax, ymax)
-boxes = model.output("detection_boxes:0").get_node().input_value(0)
-classes = model.output("detection_classes:0").get_node().input_value(0)
-scores = model.output("detection_scores:0").get_node().input_value(0)
-
-# (ymin,xmin,ymax,xmax) -> (xmin,ymin,xmax,ymax)
-boxes = ops.gather(boxes, [1, 0, 3, 2], 2)
-classes = ops.unsqueeze(classes, 2)
-scores = ops.unsqueeze(scores, 2)
-image_id = ops.multiply(scores, np.float32(0.0))
-
-detections = ops.concat([image_id, classes, scores, boxes], 2)
-detections = ops.unsqueeze(detections, 1)
-detections.output(0).get_tensor().set_names({"detection_out"})
-
-model = ov.Model([detections], model.get_parameters(), "ssdlite_mobilenet_v2")
-
-ppp = PrePostProcessor(model)
-ppp.input().tensor().set_layout(ov.Layout("NHWC"))
-ppp.input().preprocess().reverse_channels()
-model = ppp.build()
-
-ov.save_model(model, "/models/ssdlite_mobilenet_v2.xml", compress_to_fp16=True)
+ov.save_model(ov_model, "/models/ssdlite_mobilenet_v2.xml")
@@ -2,7 +2,7 @@

 set -euxo pipefail

-SQLITE_VEC_VERSION="0.1.9"
+SQLITE_VEC_VERSION="0.1.3"

 source /etc/os-release

@@ -1,2 +1,3 @@
 numpy
-openvino >= 2026.2.0
+tensorflow
+openvino-dev>=2024.0.0
@@ -11,8 +11,6 @@ It is not recommended to copy this full configuration file. Only specify values

 :::

-Sections marked `# NOTE: Can be overridden at the camera level` can be set globally and then adjusted per camera. See [Global and Camera-Level Configuration](../config_overrides.md) for how that works.
-
 ```yaml
 mqtt:
  # Optional: Enable mqtt server (default: shown below)
@@ -173,14 +171,13 @@ model:
  # Valid values are rgb, bgr, or yuv. (default: shown below)
  input_pixel_format: rgb
  # Required: Object detection model input tensor format
-  # Valid values are nhwc, nchw, hwnc, or hwcn (default: shown below)
+  # Valid values are nhwc or nchw (default: shown below)
  input_tensor: nhwc
  # Optional: Data type of the model input tensor
  # Valid values are float, float_denorm, or int (default: shown below)
  input_dtype: int
-  # Required: Object detection model architecture, used by detectors that support more
-  # than one model type (openvino, onnx, rknn, memryx, axengine, synaptics, and others)
-  # Valid values are ssd, yolox, yolonas, yolo-generic, rfdetr, dfine (default: shown below)
+  # Required: Object detection model type, currently only used with the OpenVINO detector
+  # Valid values are ssd, yolox, yolonas (default: shown below)
  model_type: ssd
  # Required: Label name modifications. These are merged into the standard labelmap.
  labelmap:
@@ -471,8 +468,8 @@ review:
    detections: False
    # Optional: Activity Context Prompt to give context to the GenAI what activity is and is not suspicious.
    # It is important to be direct and detailed. See documentation for the default prompt structure.
-    activity_context_prompt: |
-      Define what is and is not suspicious
+    activity_context_prompt: """Define what is and is not suspicious
+"""
    # Optional: Image source for GenAI (default: preview)
    # Options: "preview" (uses cached preview frames at ~180p) or "recordings" (extracts frames from recordings at 480p)
    # Using "recordings" provides better image quality but uses more tokens per image.
@@ -816,8 +813,7 @@ classification:
        cameras:
          camera_name:
            # Required: Crop of image frame on this camera to run classification on
-            # [x1, y1, x2, y2] as decimals between 0 and 1, relative to the detect resolution
-            crop: [0.0, 0.25, 0.3, 0.85]
+            crop: [0, 180, 220, 400]
        # Optional: If classification should be run when motion is detected in the crop (default: shown below)
        motion: False
        # Optional: Interval to run classification on in seconds (default: shown below)
@@ -335,7 +335,7 @@ For example:
 ```
 services:
  frigate:
-    image: ghcr.io/blakeblackshear/frigate:stable
+    image: blakeblackshear/frigate:latest
    environment:
      - FRIGATE_BASE_PATH=/frigate
 ```
@@ -272,7 +272,7 @@ If you have CUDA hardware, you can experiment with the `large` `whisper` model o

 #### Transcription and translation of `speech` audio events

-Any `speech` events in Explore can be transcribed and/or translated through the Transcribe button (the microphone icon) in the Tracked Object Details pane.
+Any `speech` events in Explore can be transcribed and/or translated through the Transcribe button in the Tracked Object Details pane.

 In order to use transcription and translation for past events, you must enable audio detection and define `speech` as an audio type to listen for. To have `speech` events translated into the language of your choice, set the `language` config parameter with the correct [language code](https://github.com/openai/whisper/blob/main/whisper/tokenizer.py#L10).

@@ -294,7 +294,7 @@ Recorded `speech` events will always use a `whisper` model, regardless of the `m

   Because transcription is **serialized (one event at a time)** and speech events can be generated far faster than they can be processed, an auto-transcribe toggle would very quickly create an ever-growing backlog and degrade core functionality. For the amount of engineering and risk involved, it adds **very little practical value** for the majority of deployments, which are often on low-powered, edge hardware.

-   If you hear speech that's actually important and worth saving/indexing for the future, **just press the transcribe button (the microphone icon) in Explore** on that specific `speech` event - that keeps things explicit, reliable, and under your control.
+   If you hear speech that's actually important and worth saving/indexing for the future, **just press the transcribe button in Explore** on that specific `speech` event - that keeps things explicit, reliable, and under your control.

   Other options are being considered for future versions of Frigate to add transcription options that support external `whisper` Docker containers. A single transcription service could then be shared by Frigate and other applications (for example, Home Assistant Voice), and run on more powerful machines when available.

@@ -262,19 +262,6 @@ In this example:

 - Admin precedence: if the `admin` mapping matches, Frigate resolves the session to `admin` to avoid accidental downgrade when a user belongs to multiple groups (for example both `admin` and `viewer` groups).

-:::note
-
-If a user isn't getting the role you expect, enable debug logging to see exactly what headers Frigate is receiving from your proxy:
-
-```yaml
-logger:
-  default: info
-  logs:
-    frigate.api.auth: debug
-```
-
-:::
-
 #### Port Considerations

 **Authenticated Port (8971)**
@@ -165,7 +165,7 @@ If available, recommended settings are:

 #### Setup via the Add Camera Wizard

-The [Add Camera Wizard](cameras.md#adding-a-camera-with-the-add-camera-wizard) is the recommended way to add a standard Reolink camera. Before starting, make sure [HTTP is enabled](https://support.reolink.com/articles/360003452893-How-to-Access-Reolink-Cameras-NVRs-Home-Hub-Locally-via-Web-Browsers/) in the camera's advanced network settings. The wizard uses the camera's HTTP API to determine its resolution and choose the recommended stream type from the table above.
+The Add Camera Wizard is the recommended way to add a standard Reolink camera. Before starting, make sure [HTTP is enabled](https://support.reolink.com/articles/360003452893-How-to-Access-Reolink-Cameras-NVRs-Home-Hub-Locally-via-Web-Browsers/) in the camera's advanced network settings. The wizard uses the camera's HTTP API to determine its resolution and choose the recommended stream type from the table above.

 1. Click **Add Camera** in <NavPath path="Settings > Global configuration > Camera management" />.
 2. Choose **Manual selection** as the stream detection method and select **Reolink** as the camera brand.
@@ -7,49 +7,6 @@ import ConfigTabs from "@site/src/components/ConfigTabs";
 import TabItem from "@theme/TabItem";
 import NavPath from "@site/src/components/NavPath";

-## Adding a camera with the Add Camera Wizard
-
-The Add Camera Wizard is the recommended way to add a camera. Click **Add Camera** in <NavPath path="Settings > Global configuration > Camera management" />. The wizard connects to your camera, tests each stream, and writes the camera's configuration for you, including the [go2rtc](go2rtc.md) restream and the live view stream mapping, so a standard setup needs no hand-written YAML.
-
-### Step 1: Name and connection
-
-Enter a name for the camera along with its host or IP address and credentials, then choose how the wizard should find the camera's streams:
-
- **Probe camera** queries the camera over ONVIF (the ONVIF port is usually 80 or 8080) and asks it for its stream URLs. Some cameras use a separate ONVIF/service account rather than the device admin user, and some require **Use digest authentication** to be enabled.
- **Manual selection** builds a stream URL from a template for the camera brand you pick (Dahua/Amcrest/EmpireTech, Hikvision/Uniview/Annke, Ubiquiti, Reolink, Axis, TP-Link, or Foscam). Choose **Other** to enter a custom RTSP URL directly. Non-RTSP stream types must be [configured manually](#setting-up-camera-inputs).
-
-The name you enter is lowercased and spaces become underscores. If the result still isn't a valid config key, the wizard generates a safe name and stores what you typed as `friendly_name`.
-
-### Step 2: Probe or snapshot
-
-In probe mode, the wizard reports what the camera returned (manufacturer, model, firmware, profile count, and whether PTZ, presets, and [autotracking](autotracking.md) are supported) along with the RTSP URLs it discovered. Test each candidate to see its resolution, frame rate, and codecs together with a snapshot, then select the one you want to use.
-
-In manual mode, the wizard tests the templated URL and shows the same metadata and snapshot.
-
-If no RTSP URLs are found, the credentials may be wrong or the camera may not support ONVIF. Go back and use manual selection instead.
-
-### Step 3: Stream configuration
-
-Assign [roles](#setting-up-camera-inputs) to the stream, and use **Add Another Stream** to add the camera's other streams, for example a substream for `detect` alongside the main stream for `record`. At least one stream must have the `detect` role before you can continue.
-
-**Reduce connections to camera** routes that input through the go2rtc restream so Frigate and the live view share a single connection to the camera instead of each opening their own. See [restream](restream.md) for more detail.
-
-### Step 4: Validation and testing
-
-Connect each stream to get a live preview, an estimated bandwidth figure, and a list of validation results. The wizard checks for the most common misconfigurations, including:
-
- A detect resolution that is too high (increased resource usage) or too low for reliable detection, or one it could not probe at all
- A stream marked `record` whose audio codec is not AAC, or that has no audio at all
- A stream marked `audio` that carries no audio stream
- Using a restreamed input for the `record` role
- Brand-specific issues, such as an RTSP stream on a Reolink camera that should use http-flv, or a Dahua/Hikvision substream selected for `detect`
-
-**Use stream compatibility mode** passes the stream through go2rtc's ffmpeg module. Enable it if a stream fails to load after several attempts. Note that this also prevents [two way talk](/configuration/live#two-way-talk) from being detected for that stream.
-
-**Save New Camera** writes the configuration and starts the camera right away. No restart is required.
-
-Other features, including [hardware acceleration](hardware_acceleration_video.md), [two way talk](/configuration/live#two-way-talk), and audio transcoding, is configured after the camera has been added. For camera model specific quirks, see the [camera specific](camera_specific.md) docs.
-
 ## Setting Up Camera Inputs

 Several inputs can be configured for each camera and the role of each input can be mixed and matched based on your needs. This allows you to use a lower resolution stream for object detection, but create recordings from a higher resolution stream, or vice versa.
@@ -112,7 +69,7 @@ Additional cameras are simply added under the camera configuration section.
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > Global configuration > Camera management" /> and use the [Add Camera Wizard](#adding-a-camera-with-the-add-camera-wizard) to configure each additional camera.
+Navigate to <NavPath path="Settings > Global configuration > Camera management" /> and use the add camera button to configure each additional camera.

 </TabItem>
 <TabItem value="yaml">
@@ -20,7 +20,7 @@ Settings are organized into two scopes:
 - **Global configuration**: values under <NavPath path="Settings > Global configuration" /> apply to every camera by default. This is where you set the baseline behavior for object detection, recording, snapshots, motion, and so on.
 - **Camera configuration**: values under <NavPath path="Settings > Camera configuration" /> apply to a single camera. Use the camera selector button at the top of these pages to choose which camera you are editing.

-When a camera-level section is left untouched, the camera simply inherits the global values. Changing a value on a camera page **overrides** the global value for that camera only: the global setting and every other camera are unaffected. This mirrors how the YAML works, where a value set under `cameras.<name>` takes precedence over the same value set at the top level. See [Global and Camera-Level Configuration](./config_overrides.md) for the full details, including how lists and maps are handled and which settings must be enabled globally first.
+When a camera-level section is left untouched, the camera simply inherits the global values. Changing a value on a camera page **overrides** the global value for that camera only: the global setting and every other camera are unaffected. This mirrors how the YAML works, where a value set under `cameras.<name>` takes precedence over the same value set at the top level.

 To undo an override and go back to inheriting from the parent scope, use the reset button at the bottom of the section:

@@ -130,8 +130,7 @@ go2rtc:

 ```yaml
 genai:
-  my_provider:
-    api_key: "{FRIGATE_GENAI_API_KEY}"
+  api_key: "{FRIGATE_GENAI_API_KEY}"
 ```

 ## Common configuration examples
@@ -1,244 +0,0 @@
---
-id: config_overrides
-title: Global and Camera-Level Configuration
---
-
-import ConfigTabs from "@site/src/components/ConfigTabs";
-import TabItem from "@theme/TabItem";
-import NavPath from "@site/src/components/NavPath";
-
-Most of Frigate's configuration can be set once for all cameras and then adjusted for individual cameras. The global value acts as the default for every camera, and any camera can override it.
-
-This page explains how that inheritance works. For a tour of the Settings UI itself, see [Frigate Configuration](./config.md).
-
-## The basics
-
-Set a value globally and every camera uses it. Set the same value on a camera and that camera uses its own value instead.
-
-<ConfigTabs>
-<TabItem value="ui">
-
-1. Navigate to <NavPath path="Settings > Global configuration > Object detection" /> and set **Detect FPS** to `5`. Every camera now detects at 5 fps.
-2. Navigate to <NavPath path="Settings > Camera configuration > Object detection" />, select the `driveway` camera, and set **Detect FPS** to `10`.
-
-The `driveway` camera now detects at 10 fps. Every other camera still uses the global value of 5.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-detect:
-  fps: 5 # every camera detects at 5 fps
-
-cameras:
-  front_door:
-    ffmpeg: ...
-  driveway:
-    ffmpeg: ...
-    detect:
-      fps: 10 # except this one
-```
-
-`front_door` inherits `fps: 5`, and `driveway` uses `10`.
-
-</TabItem>
-</ConfigTabs>
-
-## Overrides apply per value, not per section
-
-Overriding one value in a section does not detach the rest of that section. Everything you don't set on the camera still comes from the global configuration.
-
-<ConfigTabs>
-<TabItem value="ui">
-
-If you set a camera's **Motion threshold** but leave **Contour area** alone, only the threshold is overridden. The contour area continues to follow <NavPath path="Settings > Global configuration > Motion detection" />, and changing it there still affects that camera.
-
-Open a section to see which values are overridden: the section header indicates how many fields differ from the global configuration.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-motion:
-  threshold: 30
-  contour_area: 10
-
-cameras:
-  driveway:
-    motion:
-      threshold: 40
-```
-
-The `driveway` camera ends up with `threshold: 40` and `contour_area: 10`. Only the value you wrote was overridden.
-
-</TabItem>
-</ConfigTabs>
-
-## Returning a camera to the global value
-
-<ConfigTabs>
-<TabItem value="ui">
-
-A camera section that has its own values shows an **Overridden** badge. To remove the override and go back to inheriting, use the **Reset to Global** button at the bottom of the section.
-
-</TabItem>
-<TabItem value="yaml">
-
-Frigate treats a camera value as an override because it is written in the config file, not because it differs from the global value. Repeating the global value under a camera still creates an override:
-
-```yaml
-snapshots:
-  enabled: true
-
-cameras:
-  driveway:
-    snapshots:
-      enabled: true # this is an override, even though it matches
-```
-
-If you later change the global `snapshots.enabled` to `false`, `driveway` keeps saving snapshots, because it has its own value. To make a camera follow the global value again, delete the key from the camera rather than setting it to match.
-
-</TabItem>
-</ConfigTabs>
-
-## Lists replace, maps merge
-
-This is the distinction that surprises people most.
-
-**Lists are replaced entirely.** A camera's list does not add to the global list, it takes its place.
-
-<ConfigTabs>
-<TabItem value="ui">
-
-The camera page shows the objects the camera is currently tracking, starting from the global list. Changing that selection under <NavPath path="Settings > Camera configuration > Objects" /> replaces the list for that camera, so make sure every object you want tracked is selected, not just the ones you are adding.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-objects:
-  track:
-    - person
-    - car
-
-cameras:
-  backyard:
-    objects:
-      track:
-        - dog # backyard tracks ONLY dog, not person or car
-```
-
-To track `dog` in addition to the global objects, list all of them on the camera.
-
-</TabItem>
-</ConfigTabs>
-
-An empty list is a valid override, and is the normal way to opt a camera out of something:
-
-```yaml
-review:
-  alerts:
-    labels:
-      - person
-
-cameras:
-  street:
-    review:
-      alerts:
-        labels: [] # this camera never creates alerts
-```
-
-**Maps are merged key by key.** A camera can add an entry without redeclaring the others.
-
-<ConfigTabs>
-<TabItem value="ui">
-
-Adding a filter for one object under <NavPath path="Settings > Camera configuration > Objects" /> does not remove the filters inherited from <NavPath path="Settings > Global configuration > Objects" />. The camera keeps both.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-objects:
-  filters:
-    person:
-      min_area: 5000
-
-cameras:
-  driveway:
-    objects:
-      filters:
-        car:
-          min_area: 10000
-```
-
-The `driveway` camera ends up with both the `car` filter it defined and the `person` filter from the global configuration.
-
-</TabItem>
-</ConfigTabs>
-
-## Which settings can be overridden
-
-Most, but not all. The [full reference config](./advanced/reference.md) is the authoritative source: sections that support camera-level overrides are marked with the comment `# NOTE: Can be overridden at the camera level`. In the UI, a setting can be overridden if it appears under both <NavPath path="Settings > Global configuration" /> and <NavPath path="Settings > Camera configuration" />.
-
-A few things worth knowing beyond that:
-
- Some sections are **global only** and have no camera-level equivalent, including `go2rtc`, `genai` providers, `classification`, `telemetry`, `camera_groups`, and `ui`.
- Some sections exist **only at the camera level**, such as `zones` and `onvif`.
- Some sections are **partially overridable**, meaning a camera accepts only a few of the keys available globally. `face_recognition`, `lpr`, and `audio_transcription` work this way, and the reference config notes which keys apply.
-
-## Enrichments that must be enabled globally first
-
-License plate recognition and face recognition are special: the global setting is not just a default, it is a switch that must be on before any camera can use the feature. Enabling one on a camera while it is disabled globally is a configuration error, and Frigate will refuse to start:
-
-```
-Camera driveway has lpr enabled but lpr is disabled at the global level of the config. You must enable lpr at the global level.
-```
-
-Enable the feature globally, then turn it off on the cameras that don't need it.
-
-<ConfigTabs>
-<TabItem value="ui">
-
-1. Navigate to <NavPath path="Settings > Global configuration > License plate recognition" /> and enable **LPR**.
-2. Navigate to <NavPath path="Settings > Camera configuration > License plate recognition" />, select each camera that should not run LPR, and disable the **Enable LPR** toggle.
-
-</TabItem>
-<TabItem value="yaml">
-
-```yaml
-lpr:
-  enabled: true
-
-cameras:
-  driveway:
-    ffmpeg: ... # inherits lpr, enabled
-  backyard:
-    ffmpeg: ...
-    lpr:
-      enabled: false # opted out
-```
-
-</TabItem>
-</ConfigTabs>
-
-:::note
-
-This applies only to `lpr` and `face_recognition`, because the global setting controls whether the supporting background process starts at all. Other features do not work this way. Audio transcription, for example, can be enabled on a single camera without being enabled globally.
-
-:::
-
-## Profiles
-
-[Profiles](./profiles.md) add a further layer on top of everything described above. A profile is a named set of camera overrides that you can switch on and off while Frigate is running, for example to change detection and recording behavior when you leave the house.
-
-Profiles are applied on top of a camera's already-resolved configuration, so a profile value wins over both the camera and the global value while that profile is active. Profiles cover a subset of the camera sections and do not modify your config file.
-
-## Summary
-
- A camera inherits every value you don't set on it.
- Overriding one value does not detach the rest of the section.
- Writing a value on a camera overrides it, even if it matches the global value. Remove it to inherit again.
- Lists replace the global list. Maps merge into it.
- An empty list is an override, not an omission.
- `lpr` and `face_recognition` must be enabled globally before a camera can use them.
@@ -73,13 +73,9 @@ classification:
        interval: 10 # also run every N seconds (optional)
        cameras:
          front:
-            # [x1, y1, x2, y2] as decimals between 0 and 1, relative to the
-            # camera's detect resolution
-            crop: [0.0, 0.25, 0.3, 0.85]
+            crop: [0, 180, 220, 400]
 ```

-Crop coordinates are normalized: each value is a fraction of the camera's `detect` width or height, not a pixel value. Drawing the crop in the UI wizard writes these values for you.
-
 An optional config, `save_attempts`, can be set as a key under the model name. This defines the number of classification attempts to save in the Recent Classifications tab. For state classification models, the default is 100.

 </TabItem>
@@ -232,21 +232,7 @@ Once front-facing images are performing well, start choosing slightly off-angle

 Start with the [Usage](#usage) section and re-read the [Model Requirements](#model-requirements) above.

-1. Enable debug logs to see exactly what Frigate is doing.
-   - Enable debug logs for face recognition by adding `frigate.data_processing.real_time.face: debug` to your `logger` configuration. Restart Frigate after this change.
-
-     ```yaml
-     logger:
-       default: info
-       logs:
-         # highlight-next-line
-         frigate.data_processing.real_time.face: debug
-     ```
-
-   - These logs report where the pipeline stopped for each `person` object, such as no face being found within the person's bounding box, the detected face being smaller than `min_area`, or a face being recognized but scoring too low.
-   - If you see no face-related messages at all, also add `frigate.embeddings.maintainer: debug` to confirm that the face processor was created at startup and that `person` updates are reaching it.
-
-2. Ensure `person` is being _detected_. A `person` will automatically be scanned by Frigate for a face. Any detected faces will appear in the Recent Recognitions tab in the Frigate UI's Face Library.
+1. Ensure `person` is being _detected_. A `person` will automatically be scanned by Frigate for a face. Any detected faces will appear in the Recent Recognitions tab in the Frigate UI's Face Library.

   If you are using a Frigate+ or `face` detecting model:
   - Watch the [debug view](/usage/live#the-single-camera-view) to ensure that `face` is being detected along with `person`.
@@ -256,7 +242,7 @@ Start with the [Usage](#usage) section and re-read the [Model Requirements](#mod
   - Check your `detect` stream resolution and ensure it is sufficiently high enough to capture face details on `person` objects.
   - You may need to lower your `detection_threshold` if faces are not being detected.

-3. Any detected faces will then be _recognized_.
+2. Any detected faces will then be _recognized_.
   - Make sure you have trained at least one face per the recommendations above.
   - Adjust `recognition_threshold` settings per the suggestions [above](#advanced-configuration).

@@ -9,27 +9,9 @@ import NavPath from "@site/src/components/NavPath";

 ## Configuration

-A Generative AI provider can be configured in the global config, which will make the Generative AI features available for use. There are currently 5 native providers available to integrate with Frigate. Other providers that support the OpenAI standard API can also be used. See the OpenAI-Compatible section below.
+A Generative AI provider can be configured in the global config, which will make the Generative AI features available for use. There are currently 4 native providers available to integrate with Frigate. Other providers that support the OpenAI standard API can also be used. See the OpenAI-Compatible section below.

-`genai` is a map of named providers. Each key under `genai` is a name you choose, and its value is that provider's settings:
-
-```yaml
-genai:
-  my_provider: # any name you like
-    provider: ollama
-    base_url: http://localhost:11434
-    model: qwen3-vl:4b
-    roles:
-      - descriptions
-      - embeddings
-      - chat
-```
-
-The examples on this page all use `my_provider`, but the name is arbitrary and is only used to reference the provider elsewhere in the config (for example, `semantic_search.model`).
-
-Each provider handles one or more **roles**: `chat`, `descriptions`, and `embeddings`. A provider handles all three by default, and each role may be assigned to exactly one provider. Define a single provider if you want it to do everything, or split the roles across several providers using the `roles` option.
-
-If the provider you choose requires an API key, you may either directly paste it in your configuration, or store it in an environment variable prefixed with `FRIGATE_`.
+To use Generative AI, you must define a single provider at the global level of your Frigate configuration. If the provider you choose requires an API key, you may either directly paste it in your configuration, or store it in an environment variable prefixed with `FRIGATE_`.

 ## Local Providers

@@ -96,26 +78,23 @@ All llama.cpp native options can be passed through `provider_options`, including
   - Set **Provider** to `llamacpp`
   - Set **Base URL** to your llama.cpp server address (e.g., `http://localhost:8080`)
   - Set **Model** to the name of your model
-   - Optionally, under **Provider Options**, set `context_size` to override the context size Frigate detects from the server
+   - Under **Provider Options**, set `context_size` to tell Frigate your context size so it can send the appropriate amount of information

 </TabItem>
 <TabItem value="yaml">

 ```yaml
 genai:
-  my_provider:
-    provider: llamacpp
-    base_url: http://localhost:8080
-    model: your-model-name
-    provider_options:
-      context_size: 16000 # Optional, overrides the context size reported by the server.
+  provider: llamacpp
+  base_url: http://localhost:8080
+  model: your-model-name
+  provider_options:
+    context_size: 16000 # Tell Frigate your context size so it can send the appropriate amount of information.
 ```

 </TabItem>
 </ConfigTabs>

-Frigate queries the llama.cpp server for the model's context size at startup and logs it along with the other detected capabilities. If `context_size` is set in `provider_options`, that value is always used instead, even when the server reports its own.
-
 ### Ollama

 [Ollama](https://ollama.com/) allows you to self-host large language models and keep everything running locally. It is highly recommended to host this server on a machine with an Nvidia graphics card, or on a Apple silicon Mac for best performance.
@@ -148,14 +127,13 @@ Note that Frigate will not automatically download the model you specify in your

 ```yaml
 genai:
-  my_provider:
-    provider: ollama
-    base_url: http://localhost:11434
-    model: qwen3-vl:4b
-    provider_options: # other Ollama client options can be defined
-      keep_alive: -1
-      options:
-        num_ctx: 8192 # make sure the context matches other services that are using ollama
+  provider: ollama
+  base_url: http://localhost:11434
+  model: qwen3-vl:4b
+  provider_options: # other Ollama client options can be defined
+    keep_alive: -1
+    options:
+      num_ctx: 8192 # make sure the context matches other services that are using ollama
 ```

 </TabItem>
@@ -171,12 +149,11 @@ For OpenAI-compatible servers (such as llama.cpp) that don't expose the configur

 ```yaml
 genai:
-  my_provider:
-    provider: openai
-    base_url: http://your-llama-server
-    model: your-model-name
-    provider_options:
-      context_size: 8192 # Specify the configured context size
+  provider: openai
+  base_url: http://your-llama-server
+  model: your-model-name
+  provider_options:
+    context_size: 8192 # Specify the configured context size
 ```

 This ensures Frigate uses the correct context window size when generating prompts.
@@ -199,11 +176,10 @@ This ensures Frigate uses the correct context window size when generating prompt

 ```yaml
 genai:
-  my_provider:
-    provider: openai
-    base_url: http://your-server:port
-    api_key: your-api-key # May not be required for local servers
-    model: your-model-name
+  provider: openai
+  base_url: http://your-server:port
+  api_key: your-api-key # May not be required for local servers
+  model: your-model-name
 ```

 </TabItem>
@@ -241,21 +217,19 @@ Ollama also supports [cloud models](https://ollama.com/cloud), where model infer

 ```yaml
 genai:
-  my_provider:
-    provider: ollama
-    base_url: http://localhost:11434
-    model: cloud-model-name
+  provider: ollama
+  base_url: http://localhost:11434
+  model: cloud-model-name
 ```

 or when using Ollama Cloud directly

 ```yaml
 genai:
-  my_provider:
-    provider: ollama
-    base_url: https://ollama.com
-    model: cloud-model-name
-    api_key: your-api-key
+  provider: ollama
+  base_url: https://ollama.com
+  model: cloud-model-name
+  api_key: your-api-key
 ```

 </TabItem>
@@ -293,10 +267,9 @@ To start using Gemini, you must first get an API key from [Google AI Studio](htt

 ```yaml
 genai:
-  my_provider:
-    provider: gemini
-    api_key: "{FRIGATE_GEMINI_API_KEY}"
-    model: gemini-2.5-flash
+  provider: gemini
+  api_key: "{FRIGATE_GEMINI_API_KEY}"
+  model: gemini-2.5-flash
 ```

 </TabItem>
@@ -306,13 +279,12 @@ genai:

 To use a different Gemini-compatible API endpoint, set the `provider_options` with the `base_url` key to your provider's API URL. For example:

-```yaml {5,6}
+```yaml {4,5}
 genai:
-  my_provider:
-    provider: gemini
-    ...
-    provider_options:
-      base_url: https://...
+  provider: gemini
+  ...
+  provider_options:
+    base_url: https://...
 ```

 Other HTTP options are available, see the [python-genai documentation](https://github.com/googleapis/python-genai).
@@ -346,10 +318,9 @@ To start using OpenAI, you must first [create an API key](https://platform.opena

 ```yaml
 genai:
-  my_provider:
-    provider: openai
-    api_key: "{FRIGATE_OPENAI_API_KEY}"
-    model: gpt-4o
+  provider: openai
+  api_key: "{FRIGATE_OPENAI_API_KEY}"
+  model: gpt-4o
 ```

 </TabItem>
@@ -365,14 +336,13 @@ To use a different OpenAI-compatible API endpoint, set the `OPENAI_BASE_URL` env

 For OpenAI-compatible servers (such as llama.cpp) that don't expose the configured context size in the API response, you can manually specify the context size in `provider_options`:

-```yaml {6,7}
+```yaml {5,6}
 genai:
-  my_provider:
-    provider: openai
-    base_url: http://your-llama-server
-    model: your-model-name
-    provider_options:
-      context_size: 8192 # Specify the configured context size
+  provider: openai
+  base_url: http://your-llama-server
+  model: your-model-name
+  provider_options:
+    context_size: 8192 # Specify the configured context size
 ```

 This ensures Frigate uses the correct context window size when generating prompts.
@@ -407,11 +377,10 @@ To start using Azure OpenAI, you must first [create a resource](https://learn.mi

 ```yaml
 genai:
-  my_provider:
-    provider: azure_openai
-    base_url: https://instance.cognitiveservices.azure.com/openai/responses?api-version=2025-04-01-preview
-    model: gpt-5-mini
-    api_key: "{FRIGATE_OPENAI_API_KEY}"
+  provider: azure_openai
+  base_url: https://instance.cognitiveservices.azure.com/openai/responses?api-version=2025-04-01-preview
+  model: gpt-5-mini
+  api_key: "{FRIGATE_OPENAI_API_KEY}"
 ```

 </TabItem>
@@ -52,10 +52,9 @@ You can define custom prompts at the global level and per-object type. To config

 ```yaml
 genai:
-  my_provider:
-    provider: ollama
-    base_url: http://localhost:11434
-    model: qwen3-vl:8b-instruct
+  provider: ollama
+  base_url: http://localhost:11434
+  model: qwen3-vl:8b-instruct

 objects:
  genai:
@@ -15,7 +15,7 @@ Frigate uses the bundled go2rtc to power a number of key features:

 :::tip[Most users no longer need to configure go2rtc by hand]

-The [**camera setup wizard**](cameras.md#adding-a-camera-with-the-add-camera-wizard) is the recommended way to add cameras. Click **Add Camera** in <NavPath path="Settings > Global configuration > Camera management" />, and the wizard probes your camera and writes its configuration for you, including the go2rtc restream and the live stream mapping, so go2rtc is set up automatically.
+The **camera setup wizard** is the recommended way to add cameras. Click **Add Camera** in <NavPath path="Settings > Global configuration > Camera management" />, and the wizard probes your camera and writes its configuration for you, including the go2rtc restream and the live stream mapping, so go2rtc is set up automatically.

 This guide is mainly useful if you are **upgrading from an older version and have existing cameras that don't yet use go2rtc**, or if you want to fine-tune a stream by hand (for example, to transcode a codec your browser can't play). The [go2rtc troubleshooting guide](/troubleshooting/go2rtc) applies regardless of how your cameras were added.

@@ -34,7 +34,7 @@ If you are using go2rtc, you should adjust the following settings in your camera

 - Video codec: **H.264** - provides the most compatible video codec with all Live view technologies and browsers. Avoid any kind of "smart codec" or "+" codec like _H.264+_ or _H.265+_. as these non-standard codecs remove keyframes (see below).
 - Audio codec: **AAC** - provides the most compatible audio codec with all Live view technologies and browsers that support audio.
- I-frame interval (sometimes called the keyframe interval, the interframe space, or the GOP length): match your camera's frame rate, or choose "1x" (for interframe space on Reolink cameras). For example, if your stream outputs 20fps, your i-frame interval should be 20 (or 1x on Reolink). Values higher than the frame rate will cause the stream to take longer to begin playback. See [this page](https://web.archive.org/web/20251213190836/https://gardinal.net/understanding-the-keyframe-interval/) for more on keyframes. For many users this may not be an issue, but it should be noted that a 1x i-frame interval will cause more storage utilization if you are using the stream for the `record` role as well.
+- I-frame interval (sometimes called the keyframe interval, the interframe space, or the GOP length): match your camera's frame rate, or choose "1x" (for interframe space on Reolink cameras). For example, if your stream outputs 20fps, your i-frame interval should be 20 (or 1x on Reolink). Values higher than the frame rate will cause the stream to take longer to begin playback. See [this page](https://gardinal.net/understanding-the-keyframe-interval/) for more on keyframes. For many users this may not be an issue, but it should be noted that a 1x i-frame interval will cause more storage utilization if you are using the stream for the `record` role as well.

 The default video and audio codec on your camera may not always be compatible with your browser, which is why setting them to H.264 and AAC is recommended. See the [go2rtc docs](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#codecs-madness) for codec support information.

@@ -196,7 +196,7 @@ services:

 :::

-See [go2rtc WebRTC docs](https://github.com/AlexxIT/go2rtc/tree/v1.9.14#module-webrtc) for more information about this.
+See [go2rtc WebRTC docs](https://github.com/AlexxIT/go2rtc/tree/v1.8.3#module-webrtc) for more information about this.

 ### Two way talk

@@ -232,21 +232,6 @@ No. Only one profile can be active at a time. Activating a new profile automatic

 When you delete a base zone or mask in the Frigate UI, any profile overrides for that entry are deleted automatically as part of the same operation. If you remove a base entry by editing your config file directly and leave a profile override behind, the config will fail validation at startup until the orphaned override is removed as well.

-### How do I make a YAML profile track no objects at all?
-
-Set the tracked object list explicitly to an empty list in the profile:
-
-```yaml
-cameras:
-  front_door:
-    profiles:
-      home:
-        objects:
-          track: []
-```
-
-Leaving the `objects` section empty (or omitting `track`) does not clear the list. Empty sections set no fields, so the profile inherits the full tracked object list from the base config, including anything set at the global level. The same applies to other lists, such as `audio.listen`.
-
 ### Why are some settings missing when I configure a profile override?

 Fields that require a Frigate restart to take effect cannot be overridden by profiles, since profiles are applied at runtime without restarting. Those fields are hidden when editing a profile override and can only be changed on the base configuration.
@@ -163,8 +163,8 @@ genai:
    model: your-model-name
    roles:
      - embeddings
-      - descriptions
-      - chat
+      - vision
+      - tools

 semantic_search:
  enabled: True
@@ -144,7 +144,7 @@ At this point you should be able to start Frigate and a basic config will be cre

 ### Step 2: Add a camera

-Click the **Add Camera** button in <NavPath path="Settings > Global configuration > Camera management" /> to use the camera setup wizard to get your first camera added into Frigate. See [Adding a camera with the Add Camera Wizard](../configuration/cameras.md#adding-a-camera-with-the-add-camera-wizard) for a walkthrough of each step.
+Click the **Add Camera** button in <NavPath path="Settings > Global configuration > Camera management" /> to use the camera setup wizard to get your first camera added into Frigate.

 ### Step 3: Configure hardware acceleration (recommended)

@@ -281,7 +281,7 @@ For advanced usecases, this behavior can be changed with the [RTSP URL
 template](#options) option. When set, this string will override the default stream
 address that is derived from the default behavior described above. This option supports
 [jinja2 templates](https://jinja.palletsprojects.com/) and has the `camera` dict
-variables from [Frigate API](/integrations/api/frigate-http-api)
+variables from [Frigate API](../integrations/api)
 available for the template. Note that no Home Assistant state is available to the
 template, only the camera dict from Frigate.

@@ -16,7 +16,7 @@ MQTT requires a network connection to your broker. This is typically local, but
 ### `frigate/available`

 Designed to be used as an availability topic with Home Assistant. Possible message are:
-"online": published once Frigate is running and has published its initial state. Note that this is published on every connection to the broker, so it is republished if the broker restarts or the connection drops and recovers, without Frigate itself restarting.
+"online": published when Frigate is running (on startup)
 "stopped": published when Frigate is stopped normally
 "offline": published automatically by the MQTT broker if Frigate disconnects unexpectedly (via MQTT Will Message)

@@ -1,234 +0,0 @@
---
-id: common_errors
-title: Common Error Messages
---
-
-import FaqItem from "@site/src/components/FaqItem";
-
-This page is an index of error messages you might see in Frigate's logs, what each one means, and where to go next. It is organized by the kind of problem, not by which component logged the message.
-
-Two things to know before you start:
-
- **Many of these messages come from FFmpeg, go2rtc, GPU drivers, or the operating system, not from Frigate itself.** Frigate captures and re-logs their output, so the log level shown in the Frigate UI does not always reflect the original severity.
- **Wrapped errors put the real cause on the next line.** When Frigate logs a generic message like `Error occurred when attempting to maintain recording cache`, the actual exception is logged immediately after it. When a camera's FFmpeg process exits, Frigate logs `The following ffmpeg logs include the last 100 lines prior to exit` and dumps that camera's FFmpeg output. Always read those lines, they are where the answer usually is.
-
-## Camera connection and streams
-
-<FaqItem id="connection-refused-no-route-to-host-401-404" question="Connection refused / No route to host / 401 Unauthorized / 404 Not Found">
-
-These are FFmpeg errors about reaching the camera (or the go2rtc restream). `Connection refused` and `No route to host` mean nothing is listening at that address or the host is unreachable; `401 Unauthorized` is wrong credentials; `404 Not Found` is a wrong stream path (or a `restream` input pointing at a go2rtc stream name that does not exist). A camera that has hit its concurrent-connection limit can also return `refused` or `401` on a URL that works in VLC.
-
-See [go2rtc troubleshooting](/troubleshooting/go2rtc#1-read-the-go2rtc-logs) for how to isolate the stream.
-
-</FaqItem>
-
-<FaqItem id="no-frames-received-in-20-seconds" question="No frames received from <camera> in 20 seconds. Exiting ffmpeg...">
-
-FFmpeg is running but has stopped delivering video for 20 seconds, so Frigate's camera watchdog restarts it. The stream connected at least once, then went quiet: a camera reboot, a network drop, the camera evicting the connection, or a stalled decoder. If it repeats on a loop, the stream is unstable.
-
-</FaqItem>
-
-<FaqItem id="ffmpeg-process-crashed-unexpectedly" question="Ffmpeg process crashed unexpectedly for <camera>">
-
-The detect FFmpeg process exited on its own. This message is only the notification; the cause is in the 100 FFmpeg log lines Frigate dumps right after it (look for a `Failed to sync surface`, `Connection refused`, codec, or audio error in that block). Related watchdog messages include `<camera> exceeded fps limit`, which means the camera is delivering frames faster than `detect.fps` (usually a camera whose real frame rate differs from what is configured).
-
-</FaqItem>
-
-<FaqItem id="non-monotonically-increasing-dts" question="Application provided invalid, non monotonically increasing dts to muxer">
-
-An FFmpeg message meaning the camera sent packets with out-of-order timestamps. Because recordings are copied without re-encoding, FFmpeg cannot fix them, and the segment muxer often splits early, producing one-second segments and a cache backlog. The usual cause is a camera "Smart Codec" / H.264+ / H.265+ mode or a camera clock that jumps.
-
-See [Recordings: segments are only 1 second long](/troubleshooting/recordings#segments-are-only-1-second-long).
-
-</FaqItem>
-
-<FaqItem id="bad-cseq" question="RTP: PT=xx: bad cseq (packet loss / reordering)">
-
-An FFmpeg message meaning RTP packets arrived out of sequence, which almost always means the stream is using UDP transport. Frigate's RTSP presets force TCP, so seeing this points at a custom `input_args`, `preset-rtsp-udp`, or a go2rtc source that is not using TCP. Switch to TCP unless your camera is [UDP-only](/configuration/camera_specific#udp-only-cameras).
-
-</FaqItem>
-
-<FaqItem id="error-while-decoding-mb-non-existing-pps" question="error while decoding MB / non-existing PPS referenced (corrupt frames)">
-
-FFmpeg decoder messages meaning the received video bitstream was incomplete or damaged. A few of these at every stream start are normal (the decoder connected before the first keyframe) and Frigate discards them. A continuous stream of them means real packet loss, from Wi-Fi or a saturated link, an overloaded camera, or an FFmpeg restart loop caused by another problem. Fix the underlying instability rather than the message.
-
-</FaqItem>
-
-<FaqItem id="could-not-find-codec-parameters" question="Could not find codec parameters for stream ... unspecified size">
-
-An FFmpeg message meaning it probed the stream but never saw enough decodable video to determine the frame size, often because the probe window ended before the first keyframe on a long-GOP stream, or because the stream is not delivering usable video. If it is a Reolink HTTP stream, use `preset-http-reolink`, which raises the probe size for exactly this case.
-
-</FaqItem>
-
-## Recording
-
-<FaqItem id="no-new-recording-segments" question="No new recording segments were created for <camera> in the last 120s">
-
-Frigate's record watchdog is restarting the record FFmpeg process because no valid segment has reached the cache. This means the record stream is not connecting or the segments are being rejected (see the audio-codec entry below).
-
-See [Recordings: the record stream isn't connecting](/troubleshooting/recordings#the-record-stream-isnt-connecting).
-
-</FaqItem>
-
-<FaqItem id="invalid-or-missing-video-stream-in-segment" question="Invalid or missing video stream in segment. Discarding.">
-
-A cached recording segment failed validation (no readable video stream) and was deleted. The most common cause is a segment that was truncated because the record FFmpeg process was killed mid-write, so this often appears alongside, and as a consequence of, the record-stream restarts above. A segment containing only audio triggers it too.
-
-</FaqItem>
-
-<FaqItem id="incompatible-audio-codec" question="Recordings silently fail to save (incompatible audio codec)">
-
-Some camera audio codecs (G.711 variants such as `pcm_alaw` and `pcm_mulaw`) cannot be stored in an MP4 container, so segments never finalize even though live view works.
-
-See [Recordings: incompatible audio codec](/troubleshooting/recordings#incompatible-audio-codec-recordings-silently-fail-to-save) for the FFmpeg preset that transcodes the audio to AAC.
-
-</FaqItem>
-
-<FaqItem id="error-maintaining-recording-cache" question="Error occurred when attempting to maintain recording cache">
-
-A generic wrapper; the real exception is on the next log line. Frequently it is `[Errno 28] No space left on device` or `[Errno 17] File exists` on a network share.
-
-See [Recordings cache warnings and errors](/troubleshooting/recordings#i-see-the-message-error--error-occurred-when-attempting-to-maintain-recording-cache), which covers this message and the common `Errno` cases.
-
-</FaqItem>
-
-## Hardware acceleration
-
-<FaqItem id="failed-to-sync-surface" question="Failed to sync surface / Failed to download frame: -5 / Error while filtering">
-
-A VAAPI/QSV hardware frame-sync failure between FFmpeg and the GPU driver, not a Frigate bug. It usually appears when the detect stream is being scaled or decoded on the GPU.
-
-See [GPU: Failed to download frame: -5](/troubleshooting/gpu#failed-to-download-frame--5), which lists the fixes in order (switch VAAPI/QSV preset, change `LIBVA_DRIVER_NAME`, use an H.264 substream, match detect resolution and fps to the stream).
-
-</FaqItem>
-
-<FaqItem id="no-decoder-surfaces-left" question="No decoder surfaces left / Can't allocate a surface">
-
-Both mean the GPU ran out of decode surfaces: `No decoder surfaces left` is NVIDIA NVDEC, `Can't allocate a surface` is Intel QSV. This is surface-pool exhaustion, typically from too many concurrent hardware-decoded cameras on one GPU (consumer NVIDIA cards have a driver-enforced limit on simultaneous decode sessions). Reduce the number of cameras decoding on that GPU, decode some on the CPU, or move to hardware without the session cap.
-
-</FaqItem>
-
-<FaqItem id="nvidia-container-cli-nvml-error" question="nvidia-container-cli: nvml error: driver not loaded">
-
-This comes from the NVIDIA container runtime while starting the container, not from Frigate, and the container never starts. The NVIDIA driver is not loaded on the host. Confirm `nvidia-smi` works on the host itself (not inside the container) before troubleshooting Frigate. In a VM or LXC, the driver must be available inside the guest. See [Hardware: Nvidia GPU](/configuration/hardware_acceleration_video).
-
-</FaqItem>
-
-## Detectors and models
-
-<FaqItem id="illegal-instruction" question="Illegal instruction (core dumped)">
-
-The process was killed by the CPU for executing an unsupported instruction. There are two distinct causes in Frigate:
-
- **A Coral EdgeTPU** on a newer kernel with an outdated gasket driver. See [EdgeTPU: Illegal instruction](/troubleshooting/edgetpu#attempting-to-load-tpu-as-pci--fatal-python-error-illegal-instruction).
- **A CPU without AVX/AVX2**, when enabling semantic search, face recognition, license plate recognition, classification, or audio transcription. These features use libraries compiled with AVX and crash immediately on CPUs that lack it (commonly Intel Celeron/Pentium before the 2020 Tiger Lake generation). See the [CPU requirements](/frigate/planning_setup#cpu).
-
-</FaqItem>
-
-<FaqItem id="onnx-invalidprotobuf" question="ONNX Runtime InvalidProtobuf / failed to load model">
-
-ONNX Runtime could not parse the model file. The file exists but its contents are not a valid ONNX model, usually a corrupted or interrupted download in `model_cache`, or the wrong file pointed at by `model.path`. Delete the cached model file so Frigate re-downloads it, and confirm `model.path` points at an actual `.onnx` model. See [ONNX detector configuration](/configuration/object_detectors#onnx).
-
-</FaqItem>
-
-<FaqItem id="cuda-failure-999-901" question="CUDA failure 999 / CUDA failure 901">
-
-ONNX Runtime CUDA errors. `999` (`cudaErrorUnknown`) is a general, unrecoverable CUDA context failure, usually a driver/runtime version mismatch between the host and the container or a GPU in a bad state. `901` is a CUDA-graph capture error, which points at a custom model whose operations are not capture-safe. For `999`, align the host driver with the container's CUDA version and confirm the GPU is healthy.
-
-</FaqItem>
-
-<FaqItem id="openvino-no-supported-devices" question="Can't get OPTIMIZATION_CAPABILITIES property as no supported devices found">
-
-OpenVINO could not find the configured device (usually `GPU` or `NPU`). Most often the `/dev/dri` render node is not passed into the container, or the wrong render node is mapped when an iGPU and a discrete GPU coexist.
-
-See [GPU: no supported devices found](/troubleshooting/gpu#cant-get-optimization_capabilities-property-as-no-supported-devices-found).
-
-</FaqItem>
-
-## Memory and storage
-
-<FaqItem id="fatal-python-error-bus-error" question="Fatal Python error: Bus error">
-
-Frigate ran out of shared memory (`/dev/shm`). The container's `shm_size` is too small for the number and resolution of your detect streams, or you added cameras after startup without increasing it.
-
-See [Calculating required shm-size](/frigate/installation#calculating-required-shm-size). If you cannot increase `shm_size`, lowering the `SHM_MAX_FRAMES` environment variable reduces how many frames Frigate buffers per camera.
-
-</FaqItem>
-
-<FaqItem id="errno-28-no-space-left" question="[Errno 28] No space left on device">
-
-A filesystem is full: the recordings volume (`/media/frigate`), the cache tmpfs (`/tmp/cache`), or `/dev/shm`. Check which one, and note that inode exhaustion can produce this while `df -h` still shows free space.
-
-See [Recordings: No space left on device](/troubleshooting/recordings#i-see-the-message-error--error-occurred-when-attempting-to-maintain-recording-cache).
-
-</FaqItem>
-
-<FaqItem id="container-exits-with-no-logs" question="The container exits or restarts with no error in the logs">
-
-A silent exit is usually the host or container out-of-memory killer. Because `/dev/shm` and `/tmp/cache` are memory-backed, they count against the container's memory limit, so aggressive shm or cache sizing can trigger it. Give the container more memory, or reduce shm/cache sizing, and check the host's OOM messages (`dmesg`).
-
-</FaqItem>
-
-## Database
-
-<FaqItem id="database-is-locked" question="database is locked">
-
-SQLite could not acquire the write lock. Frigate's timeout already scales with camera count, so under normal local-disk operation this essentially only happens when the database is on a network share (SMB/NFS), where file locking is unreliable, or when two instances point at the same file.
-
-See [Database is locked](/troubleshooting/faqs#error-database-is-locked).
-
-</FaqItem>
-
-<FaqItem id="database-disk-image-is-malformed" question="database disk image is malformed">
-
-The SQLite database file is corrupted, typically after hard power loss, a network-share database, or a filesystem with unsafe write semantics. Frigate does not repair it automatically, but the database can usually be recovered by hand.
-
-**Stop Frigate first**, then work on the database file directly (by default `/config/frigate.db`). Start by checking what is actually wrong:
-
-```bash
-sqlite3 frigate.db "PRAGMA integrity_check;"
-```
-
-If the only problems reported are index-related (lines such as `row 14 missing from index recordings_path` or `non-unique entry in index ...`), rebuilding the indexes is usually enough and is the least destructive fix:
-
-```bash
-sqlite3 frigate.db "REINDEX;"
-```
-
-If the integrity check reports page or byte-level corruption instead (for example `Multiple uses for byte 2706 of page 142272`), dump the readable contents into a new database:
-
-```bash
-# dump what can still be read
-sqlite3 frigate.db .dump > frigate.dump
-
-# keep the corrupt file, then rebuild from the dump
-mv frigate.db frigate.db.bak
-cat frigate.dump | sqlite3 frigate.db
-
-# confirm the rebuilt database is clean, this should print "ok"
-sqlite3 frigate.db "PRAGMA integrity_check;"
-```
-
-Rows stored in the corrupted pages cannot be recovered, so expect to lose some tracked objects, review items, or thumbnails. Recordings themselves are files on disk and are not affected.
-
-As a last resort, stop Frigate, delete `frigate.db`, and restart. Frigate recreates it, but existing recordings lose all of their metadata. If a `backup.db` exists next to your database, Frigate wrote it before the last schema migration and restoring it recovers everything up to that point.
-
-Repeat corruption usually points at the underlying storage: move the database off a network share, and on Raspberry Pi check power delivery and the SD card or SSD.
-
-</FaqItem>
-
-## Startup and web access
-
-<FaqItem id="unable-to-start-frigate-in-safe-mode" question="Unable to start Frigate in safe mode / Starting Frigate in safe mode">
-
-When your config fails validation at startup, Frigate prints the validation errors (with line numbers), then starts in **safe mode**: a minimal configuration with no cameras and MQTT disabled, so the UI stays reachable. In safe mode the only available page is the Config Editor, which shows the validation errors so you can fix them, then save and restart. Note that recording retention and storage cleanup do **not** run while in safe mode, so do not leave a low-disk system sitting in it.
-
-`Unable to start Frigate in safe mode` means even the minimal config failed, which points at an error in your `auth`, `proxy`, or `database` section, or a config file that is not valid YAML at all. Safe mode is not sticky; fix the config and restart and Frigate returns to normal.
-
-</FaqItem>
-
-<FaqItem id="502-bad-gateway" question="502 Bad Gateway / connection refused to 127.0.0.1:5001">
-
-The web server is up but the Frigate backend (port 5001) is not answering yet. By far the most common reason is that the page was loaded during startup: the API binds last, after database migrations (which can take minutes on a large database), model downloads, and process startup, while the web server is already serving. Wait for startup to finish. If it persists, the backend has failed to start, and the reason is earlier in the logs. This also explains a `connection refused to 127.0.0.1:5001` seen while loading `/ws`, because every authenticated request first makes an auth subrequest to that port.
-
-</FaqItem>
@@ -428,19 +428,3 @@ You'll want to:
 - [Tune your motion detection settings](/configuration/motion_detection) either by editing your config file or by using the UI's Motion Tuner.

 </FaqItem>
-
-<FaqItem id="my-timeline-previews-are-black-after-restarting-frigate-or-recreating-the-container" question="My timeline previews are black after restarting Frigate or recreating the container. Why?">
-
-The scrubbing previews (the timelapse clips shown when dragging the History timeline, the secondary-camera previews, and the preview that plays when hovering a review card) are not recorded continuously. Frigate caches low-resolution preview frames in `/tmp/cache` throughout each hour and only assembles them into a finished preview clip **at the top of the hour**.
-
-In the recommended configuration, `/tmp/cache` is a small in-memory (`tmpfs`) area. When Frigate starts, it tries to restore the current hour's cached frames, so a **soft restart from the UI** preserves them. But if you recreate the Docker container or stop Frigate forcibly by any other means partway through an hour, the in-memory cache is discarded, so no preview clip is produced for that partial hour.
-
-This is expected behavior, not a bug:
-
- Previews for hours that already completed and were written to disk are unaffected.
- The next full hour after a restart will generate previews normally.
- This is unrelated to `shm_size`; increasing shared memory does not change it.
-
-To avoid the gap, use the **Restart Frigate** button in the UI's Settings menu rather than recreating the container when possible.
-
-</FaqItem>
@@ -34,7 +34,7 @@ All of your exports live on the **Exports** page, reachable from the main naviga
 - **Rename** it, and
 - **Delete** it: deleting is the only way an export is removed.

-You can also select multiple exports at once to **delete** them in bulk, or to **add them to** (or **remove them from**) a [case](#cases). To download multiple exports as a zip archive, add them to a **case** and use the Download button there.
+You can also select multiple exports at once to **delete** them in bulk, or to **add them to** (or **remove them from**) a [case](#cases).

 ## Cases

@@ -30,7 +30,6 @@ const sidebars: SidebarsConfig = {
    ],
    Configuration: [
      "configuration/config",
-      "configuration/config_overrides",
      {
        type: "category",
        label: "Detectors",
@@ -166,7 +165,6 @@ const sidebars: SidebarsConfig = {
    ],
    Troubleshooting: [
      "troubleshooting/faqs",
-      "troubleshooting/common_errors",
      "troubleshooting/go2rtc",
      "troubleshooting/recordings",
      "troubleshooting/dummy-camera",
@@ -8244,11 +8244,6 @@ components:
      properties:
        provider:
          $ref: '#/components/schemas/GenAIProviderEnum'
-        name:
-          anyOf:
-            - type: string
-            - type: 'null'
-          title: Name
        api_key:
          anyOf:
            - type: string
@@ -31,7 +31,6 @@ from frigate.api.auth import (
    get_allowed_cameras_for_filter,
    require_role,
 )
-from frigate.api.config_util import swap_runtime_config
 from frigate.api.defs.query.app_query_parameters import AppTimelineHourlyQueryParameters
 from frigate.api.defs.request.app_body import (
    AppConfigSetBody,
@@ -196,7 +195,7 @@ def genai_models(request: Request):
        "before saving the configuration."
    ),
 )
-async def genai_probe(request: Request, body: GenAIProbeBody):
+async def genai_probe(body: GenAIProbeBody):
    load_providers()

    provider_cls = PROVIDERS.get(body.provider)
@@ -206,13 +205,6 @@ async def genai_probe(request: Request, body: GenAIProbeBody):
            content={"success": False, "message": "Unknown provider"},
        )

-    api_key = body.api_key
-    if api_key == REDACTED_CREDENTIAL_SENTINEL:
-        saved_cfg = (
-            request.app.frigate_config.genai.get(body.name) if body.name else None
-        )
-        api_key = saved_cfg.api_key if saved_cfg else None
-
    # The OpenAI-compatible SDKs accept "timeout" as a constructor kwarg via
    # provider_options; other plugins use GenAIClient.timeout passed below.
    # Don't inject timeout for Gemini — its HttpOptions interprets the value
@@ -224,7 +216,7 @@ async def genai_probe(request: Request, body: GenAIProbeBody):
    try:
        transient_cfg = GenAIConfig(
            provider=body.provider,
-            api_key=api_key,
+            api_key=body.api_key,
            base_url=body.base_url,
            provider_options=probe_provider_options,
            # model is required by the schema but irrelevant for listing.
@@ -923,7 +915,19 @@ def config_set(request: Request, body: AppConfigSetBody):

            if body.requires_restart == 0 or body.update_topic:
                old_config: FrigateConfig = request.app.frigate_config
-                swap_runtime_config(request.app, config)
+                request.app.frigate_config = config
+                request.app.genai_manager.update_config(config)
+
+                if request.app.profile_manager is not None:
+                    request.app.profile_manager.update_config(config)
+
+                if request.app.stats_emitter is not None:
+                    request.app.stats_emitter.config = config
+
+                if request.app.dispatcher is not None:
+                    request.app.dispatcher.config = config
+                    for comm in request.app.dispatcher.comms:
+                        comm.config = config

                if body.update_topic:
                    if body.update_topic.startswith("config/cameras/"):
@@ -25,7 +25,6 @@ from frigate.api.auth import (
    require_go2rtc_stream_access,
    require_role,
 )
-from frigate.api.config_util import swap_runtime_config
 from frigate.api.defs.request.app_body import CameraSetBody
 from frigate.api.defs.tags import Tags
 from frigate.config import FrigateConfig
@@ -1255,14 +1254,9 @@ async def delete_camera(
                    status_code=500,
                )

-            # rebind every collaborator to the new config and re-layer runtime
-            # toggles for the surviving cameras, same as /api/config/set
-            swap_runtime_config(request.app, config)
-
-            # drop the deleted camera's persisted overrides so a camera later
-            # added under the same name doesn't inherit them
-            if request.app.dispatcher is not None:
-                request.app.dispatcher.clear_runtime_state_for_camera(camera_name)
+            # Update runtime config
+            request.app.frigate_config = config
+            request.app.genai_manager.update_config(config)

            # Publish removal to stop ffmpeg processes and clean up runtime state
            request.app.config_publisher.publish_update(
@@ -1,35 +0,0 @@
-"""Shared helpers for applying a freshly parsed config to the running app."""
-
-from fastapi import FastAPI
-
-from frigate.config import FrigateConfig
-
-
-def swap_runtime_config(app: FastAPI, config: FrigateConfig) -> None:
-    """Point every long-lived collaborator at a newly parsed config object.
-
-    Both /api/config/set and camera deletion re-parse yaml into a fresh
-    FrigateConfig and must rebind the same set of references, or the API and
-    the dispatcher drift onto different objects (the API reports one camera
-    state while the dispatcher acts on another). Runtime toggle overrides are
-    re-layered last: the swap rebuilt every camera from yaml, so without this a
-    camera the user turned off would silently come back on.
-    """
-    app.frigate_config = config
-    app.genai_manager.update_config(config)
-
-    if app.profile_manager is not None:
-        app.profile_manager.update_config(config)
-
-    if app.stats_emitter is not None:
-        app.stats_emitter.config = config
-
-    if app.dispatcher is not None:
-        app.dispatcher.config = config
-
-        for comm in app.dispatcher.comms:
-            comm.config = config
-
-        # workers still hold the live toggle values, so correct only the
-        # config object here rather than re-broadcasting every override
-        app.dispatcher.reapply_runtime_state_to_config()
@@ -14,7 +14,6 @@ class AppConfigSetBody(BaseModel):

 class GenAIProbeBody(BaseModel):
    provider: GenAIProviderEnum
-    name: str | None = None
    api_key: str | None = None
    base_url: str | None = None
    provider_options: dict[str, Any] = Field(default_factory=dict)
@@ -1538,18 +1538,15 @@ async def set_description(
    event.data["description"] = new_description
    event.save()

-    context: EmbeddingsContext | None = request.app.embeddings
-
-    if context is not None:
+    # If semantic search is enabled, update the index
+    if request.app.frigate_config.semantic_search.enabled:
+        context: EmbeddingsContext = request.app.embeddings
        if len(new_description) > 0:
-            # If semantic search is enabled, update the index
-            if request.app.frigate_config.semantic_search.enabled:
-                context.update_description(
-                    event_id,
-                    new_description,
-                )
+            context.update_description(
+                event_id,
+                new_description,
+            )
        else:
-            # embeddings are always cleaned up so they don't outlive their description
            context.db.delete_embeddings_description(event_ids=[event_id])

    response_message = (
@@ -1678,11 +1675,9 @@ async def delete_single_event(event_id: str, request: Request) -> dict:
    event.delete_instance()
    Timeline.delete().where(Timeline.source_id == event_id).execute()

-    # embeddings are always cleaned up, even when semantic search is disabled,
-    # so that they don't outlive their events
-    context: EmbeddingsContext | None = request.app.embeddings
-
-    if context is not None:
+    # If semantic search is enabled, update the index
+    if request.app.frigate_config.semantic_search.enabled:
+        context: EmbeddingsContext = request.app.embeddings
        context.db.delete_embeddings_thumbnail(event_ids=[event_id])
        context.db.delete_embeddings_description(event_ids=[event_id])

@@ -270,7 +270,7 @@ class FrigateApp:
                10
                * len([c for c in self.config.cameras.values() if c.enabled_in_config]),
            ),
-            load_vec_extension=True,
+            load_vec_extension=self.config.semantic_search.enabled,
        )
        models = [
            Event,
@@ -404,64 +404,38 @@ class Dispatcher:
        for comm in self.comms:
            comm.stop()

-    def apply_runtime_state(self) -> dict[str, dict[str, bool]]:
+    def restore_runtime_state(self) -> None:
        """Replay persisted runtime overrides through the camera settings handlers.

-        Routing through the handlers (rather than mutating config directly) is
-        deliberate: they publish the ``config_updater`` broadcast and the
-        retained MQTT state as a side effect, so worker processes and the UI
-        converge on the replayed value. Unknown cameras and topics are skipped;
-        handler exceptions are logged and replay continues for the rest.
-
-        Returns:
-            The entries handed to a handler without raising, keyed by camera
-            then topic. A handler can still refuse the value internally (an ON
-            payload for a camera that is not enabled_in_config, for example),
-            so this is not proof the override took effect.
+        Called once after Frigate startup completes so processing threads can
+        receive the resulting ``config_updater`` broadcasts. Unknown cameras
+        and topics are skipped; handler exceptions are logged and replay
+        continues for remaining entries.
        """
        state = self._runtime_state.load()
-        applied: dict[str, dict[str, bool]] = {}
-
        for camera_name, features in state.items():
            if camera_name not in self.config.cameras:
                continue
-
            for topic, value in features.items():
                handler = self._camera_settings_handlers.get(topic)
-
                if handler is None:
                    continue
-
                payload = "ON" if value else "OFF"
-
                try:
                    handler(camera_name, payload)
                except Exception:
                    logger.exception(
-                        "Failed to apply runtime state %s.%s=%s",
+                        "Failed to restore runtime state %s.%s=%s",
                        camera_name,
                        topic,
                        payload,
                    )
                    continue
-
-                applied.setdefault(camera_name, {})[topic] = value
-
-        return applied
-
-    def restore_runtime_state(self) -> None:
-        """Replay persisted runtime overrides once Frigate startup completes.
-
-        Called after every ``config_updater`` subscriber is up so the resulting
-        broadcasts are not dropped by ZMQ PUB/SUB.
-        """
-        for camera_name, features in self.apply_runtime_state().items():
-            for topic, value in features.items():
                logger.info(
                    "Restored runtime state: %s.%s=%s",
                    camera_name,
                    topic,
-                    "ON" if value else "OFF",
+                    payload,
                )

    def clear_runtime_state_for_yaml_keys(self, dotted_keys: Iterable[str]) -> None:
@@ -484,56 +458,6 @@ class Dispatcher:
        """
        self._runtime_state.clear_all()

-    def clear_runtime_state_for_camera(self, camera: str) -> None:
-        """Drop all persisted runtime overrides for a deleted camera.
-
-        Called by camera deletion so a camera later added under the same name
-        does not inherit the removed camera's stale toggles.
-        """
-        self._runtime_state.clear_camera(camera)
-
-    def reapply_runtime_state_to_config(self) -> None:
-        """Re-apply persisted runtime overrides to the swapped-in config object.
-
-        After config/set (or a camera delete) parses fresh yaml and swaps the
-        config, the worker processes still hold the live toggle values and the
-        overrides are already on disk, so only the in-process config object is
-        out of date. Unlike apply_runtime_state (used at startup, where workers
-        must be told), this makes no ZMQ, MQTT, or disk writes, it just corrects
-        the config the API and dispatcher read.
-
-        The field mutations and gates mirror the _on_*_command handlers; keep
-        the two in sync if a tracked toggle is added or its gate changes.
-        """
-        state = self._runtime_state.load()
-
-        for camera_name, features in state.items():
-            camera = self.config.cameras.get(camera_name)
-
-            if camera is None:
-                continue
-
-            for topic, value in features.items():
-                if topic == "enabled":
-                    if value and not camera.enabled_in_config:
-                        continue
-                    camera.enabled = value
-                elif topic == "detect":
-                    camera.detect.enabled = value
-                    # detection requires motion, mirror the handler coupling
-                    if value and not camera.motion.enabled:
-                        camera.motion.enabled = True
-                elif topic == "snapshots":
-                    camera.snapshots.enabled = value
-                elif topic == "recordings":
-                    if value and not camera.record.enabled_in_config:
-                        continue
-                    camera.record.enabled = value
-                elif topic == "audio":
-                    if value and not camera.audio.enabled_in_config:
-                        continue
-                    camera.audio.enabled = value
-
    def _on_detect_command(self, camera_name: str, payload: str) -> None:
        """Callback for detect topic."""
        detect_settings = self.config.cameras[camera_name].detect
@@ -96,25 +96,6 @@ class RuntimeStatePersistence:
        except OSError:
            logger.exception("Failed to clear runtime state")

-    def clear_camera(self, camera: str) -> None:
-        """Drop every stored override for a single camera.
-
-        Called when a camera is deleted so a camera later added under the same
-        name does not inherit the removed camera's stale toggles.
-        """
-        try:
-            with FileLock(self._lock_path, timeout=self._lock_timeout):
-                data = self._read_locked()
-                cameras = data.get("cameras")
-                if not isinstance(cameras, dict) or camera not in cameras:
-                    return
-                del cameras[camera]
-                self._write_locked(data)
-        except Timeout:
-            logger.error("Timed out clearing runtime state for camera")
-        except OSError:
-            logger.exception("Failed to clear runtime state for camera")
-
    def clear_for_yaml_keys(self, dotted_keys: Iterable[str]) -> None:
        """Remove stored entries whose YAML key was just rewritten.

@@ -23,6 +23,7 @@ from frigate.const import (
    EXPIRE_AUDIO_ACTIVITY,
    INSERT_MANY_RECORDINGS,
    INSERT_PREVIEW,
+    NOTIFICATION_TEST,
    REQUEST_REGION_GRID,
    UPDATE_AUDIO_ACTIVITY,
    UPDATE_AUDIO_TRANSCRIPTION_STATE,
@@ -56,6 +57,7 @@ _WS_BLOCKED_TOPICS = frozenset(
        UPDATE_EMBEDDINGS_REINDEX_PROGRESS,
        UPDATE_BIRDSEYE_LAYOUT,
        UPDATE_AUDIO_TRANSCRIPTION_STATE,
+        NOTIFICATION_TEST,
    }
 )

@@ -640,7 +640,7 @@ class FrigateConfig(FrigateBaseModel):
        # set notifications state
        self.notifications.enabled_in_config = self.notifications.enabled

-        # validate genai: each role (chat, descriptions, embeddings) at most once
+        # validate genai: each role (tools, vision, embeddings) at most once
        role_to_name: dict[GenAIRoleEnum, str] = {}
        for name, genai_cfg in self.genai.items():
            for role in genai_cfg.roles:
@@ -141,11 +141,6 @@ class ProfileManager:
        Preserves active profile state: re-snapshots base configs from the new
        (freshly parsed) config, then re-applies profile overrides if a profile
        was active.
-
-        Deliberately does not clear the dispatcher's runtime overrides. This is
-        the config-save path, not a profile switch: the save only invalidates
-        the toggles it rewrote in yaml, which /api/config/set already clears by
-        key. The broad wipe belongs to activate_profile alone.
        """
        current_active = self.config.active_profile
        self.config = new_config
@@ -169,6 +164,10 @@ class ProfileManager:
                self.config.active_profile = None
                self._persist_active_profile(None)

+            # drop all runtime overrides so they don't replay stale values on restart
+            if self.dispatcher is not None:
+                self.dispatcher.clear_runtime_state()
+
    def activate_profile(
        self,
        profile_name: str | None,
@@ -288,10 +288,6 @@ class FaceRealTimeProcessor(RealTimeProcessorApi):
                max(0, face_box[0]) : min(frame.shape[1], face_box[2]),
            ]

-        if face_frame.size == 0:
-            logger.debug(f"Empty face crop for {id}")
-            return
-
        res = self.recognizer.classify(face_frame)

        if not res:
@@ -1,12 +1,9 @@
-import logging
 import sqlite3
 from typing import Any

 import regex
 from playhouse.sqliteq import SqliteQueueDatabase

-logger = logging.getLogger(__name__)
-
 REGEXP_TIMEOUT_SECONDS = 1.0


@@ -31,14 +28,8 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):

    def _load_vec_extension(self, conn: sqlite3.Connection) -> None:
        conn.enable_load_extension(True)
-
-        try:
-            conn.load_extension(self.sqlite_vec_path)
-        except conn.OperationalError:
-            logger.error("Unable to load the sqlite-vec extension")
-            self.load_vec_extension = False
-        finally:
-            conn.enable_load_extension(False)
+        conn.load_extension(self.sqlite_vec_path)
+        conn.enable_load_extension(False)

    def _register_regexp(self, conn: sqlite3.Connection) -> None:
        def regexp(expr: str, item: str | None) -> bool:
@@ -53,33 +44,13 @@ class SqliteVecQueueDatabase(SqliteQueueDatabase):

        conn.create_function("REGEXP", 2, regexp)

-    def _delete_embeddings(self, table: str, event_ids: list[str]) -> None:
-        """Delete embeddings for the given events, if the table exists.
-
-        Embeddings outlive the events they belong to when semantic search is
-        disabled, so deletes are attempted regardless of the current config.
-        """
-        if not event_ids or not self.load_vec_extension:
-            return
-
-        # the embeddings tables are only created once semantic search has run
-        cursor = self.execute_sql(
-            "SELECT name FROM sqlite_master WHERE type = 'table' AND name = ?",
-            (table,),
-        )
-
-        if cursor.fetchone() is None:
-            logger.debug("Skipping %s cleanup, table does not exist", table)
-            return
-
-        ids = ",".join(["?" for _ in event_ids])
-        self.execute_sql(f"DELETE FROM {table} WHERE id IN ({ids})", event_ids)
-
    def delete_embeddings_thumbnail(self, event_ids: list[str]) -> None:
-        self._delete_embeddings("vec_thumbnails", event_ids)
+        ids = ",".join(["?" for _ in event_ids])
+        self.execute_sql(f"DELETE FROM vec_thumbnails WHERE id IN ({ids})", event_ids)

    def delete_embeddings_description(self, event_ids: list[str]) -> None:
-        self._delete_embeddings("vec_descriptions", event_ids)
+        ids = ",".join(["?" for _ in event_ids])
+        self.execute_sql(f"DELETE FROM vec_descriptions WHERE id IN ({ids})", event_ids)

    def drop_embeddings_tables(self) -> None:
        self.execute_sql("""
@@ -93,7 +93,7 @@ class ModelConfig(BaseModel):
    model_type: ModelTypeEnum = Field(
        default=ModelTypeEnum.ssd,
        title="Object Detection Model Type",
-        description="Detector model architecture type (ssd, yolox, yolonas, yolo-generic, rfdetr, dfine) used by some detectors for optimization.",
+        description="Detector model architecture type (ssd, yolox, yolonas) used by some detectors for optimization.",
    )
    _merged_labelmap: dict[int, str] | None = PrivateAttr()
    _colormap: dict[int, tuple[int, int, int]] = PrivateAttr()
@@ -366,10 +366,9 @@ class EventCleanup(threading.Thread):
                    logger.debug(f"Deleting {len(chunk)} events from the database")
                    Event.delete().where(Event.id << chunk).execute()

-                    # embeddings are always cleaned up, even when semantic search
-                    # is disabled, so that they don't outlive their events
-                    self.db.delete_embeddings_description(event_ids=chunk)
-                    self.db.delete_embeddings_thumbnail(event_ids=chunk)
-                    logger.debug(f"Deleted {len(chunk)} embeddings")
+                    if self.config.semantic_search.enabled:
+                        self.db.delete_embeddings_description(event_ids=chunk)
+                        self.db.delete_embeddings_thumbnail(event_ids=chunk)
+                        logger.debug(f"Deleted {len(ids_to_delete)} embeddings")

        logger.info("Exiting event cleanup...")
@@ -192,7 +192,7 @@ class LlamaCppClient(GenAIClient):
        logger.info(
            "llama.cpp model '%s' initialized — context: %s, vision: %s, audio: %s, tools: %s, reasoning: %s",
            configured_model,
-            self.get_context_size(),
+            self._context_size or "unknown",
            self._supports_vision,
            self._supports_audio,
            self._supports_tools,
@@ -159,8 +159,6 @@ class FFMpegConverter(threading.Thread):
                f"duration {self.frame_times[t_idx + 1] - self.frame_times[t_idx]}"
            )

-        Path(self.path).parent.mkdir(parents=True, exist_ok=True)
-
        try:
            p = sp.run(
                self.ffmpeg_cmd.split(" "),
@@ -115,11 +115,9 @@ class PendingReviewSegment:
        if self._frame is not None:
            self.thumb_time = datetime.datetime.now().timestamp()
            self.has_frame = True
-            Path(self.frame_path).parent.mkdir(parents=True, exist_ok=True)
-            if not cv2.imwrite(
+            cv2.imwrite(
                self.frame_path, self._frame, [int(cv2.IMWRITE_WEBP_QUALITY), 60]
-            ):
-                logger.error("Failed to write review thumbnail to %s", self.frame_path)
+            )

    def save_full_frame(self, camera_config: CameraConfig, frame: np.ndarray) -> None:
        color_frame = cv2.cvtColor(frame, cv2.COLOR_YUV2BGR_I420)
@@ -130,11 +128,9 @@ class PendingReviewSegment:

        if self._frame is not None:
            self.has_frame = True
-            Path(self.frame_path).parent.mkdir(parents=True, exist_ok=True)
-            if not cv2.imwrite(
+            cv2.imwrite(
                self.frame_path, self._frame, [int(cv2.IMWRITE_WEBP_QUALITY), 60]
-            ):
-                logger.error("Failed to write review thumbnail to %s", self.frame_path)
+            )

    def get_data(self, ended: bool) -> dict:
        end_time = None
@@ -378,16 +374,6 @@ class ReviewSegmentMaintainer(threading.Thread):
        """Forcibly end the pending segment for a camera."""
        segment = self.active_review_segments.get(camera)
        if segment:
-            if self.indefinite_events.get(camera):
-                self.indefinite_events[camera] = {}
-                now = datetime.datetime.now().timestamp()
-
-                if segment.last_alert_time == sys.maxsize:
-                    segment.last_alert_time = now
-
-                if segment.last_detection_time == sys.maxsize:
-                    segment.last_detection_time = now
-
            prev_data = segment.get_data(False)
            return self._publish_segment_end(segment, prev_data)
        return None
@@ -132,77 +132,6 @@ class TestHttpApp(BaseTestHttp):
                "models": ["fake-model-a", "fake-model-b"],
            }

-    def test_genai_probe_resolves_sentinel_to_saved_api_key(self):
-        # After a save the UI's api_key field holds the redaction sentinel;
-        # the probe must substitute the saved key for the named entry instead
-        # of sending the literal sentinel to the provider (GH discussion 23754).
-        probed_keys: list[str | None] = []
-
-        class CapturingClient(GenAIClient):
-            def list_models(self):
-                probed_keys.append(self.genai_config.api_key)
-                return ["fake-model"]
-
-        self.minimal_config["genai"] = {
-            "llm": {
-                "provider": "openai",
-                "api_key": "sk-saved",
-                "base_url": "https://example.invalid",
-                "model": "fake-model",
-            }
-        }
-        app = super().create_app()
-
-        with (
-            AuthTestClient(app) as client,
-            patch.dict(
-                frigate.genai.PROVIDERS,
-                {GenAIProviderEnum.openai: CapturingClient},
-            ),
-        ):
-            response = client.post(
-                "/genai/probe",
-                json={
-                    "provider": "openai",
-                    "name": "llm",
-                    "api_key": REDACTED_CREDENTIAL_SENTINEL,
-                    "base_url": "https://example.invalid",
-                },
-            )
-            assert response.status_code == 200
-            assert response.json()["success"] is True
-            assert probed_keys == ["sk-saved"]
-
-    def test_genai_probe_sentinel_without_saved_entry_sends_no_key(self):
-        # If the sentinel arrives for an entry that has no saved config, the
-        # probe must drop the key entirely rather than leak the sentinel.
-        probed_keys: list[str | None] = []
-
-        class CapturingClient(GenAIClient):
-            def list_models(self):
-                probed_keys.append(self.genai_config.api_key)
-                return ["fake-model"]
-
-        app = super().create_app()
-
-        with (
-            AuthTestClient(app) as client,
-            patch.dict(
-                frigate.genai.PROVIDERS,
-                {GenAIProviderEnum.openai: CapturingClient},
-            ),
-        ):
-            response = client.post(
-                "/genai/probe",
-                json={
-                    "provider": "openai",
-                    "name": "llm",
-                    "api_key": REDACTED_CREDENTIAL_SENTINEL,
-                },
-            )
-            assert response.status_code == 200
-            assert probed_keys == [None]
-
    def test_genai_probe_empty_list_is_treated_as_failure(self):
        # The plugin's list_models() returns [] on connection failure rather
        # than raising. The endpoint should surface that as success=false so
@@ -1,132 +0,0 @@
-"""Tests for the camera delete endpoint's runtime config handling."""
-
-import os
-import tempfile
-import unittest
-from unittest.mock import MagicMock, Mock, patch
-
-import ruamel.yaml
-
-from frigate.config import FrigateConfig
-from frigate.config.camera.updater import CameraConfigUpdatePublisher
-from frigate.models import Event, Recordings, ReviewSegment
-from frigate.test.http_api.base_http_test import AuthTestClient, BaseTestHttp
-
-
-class TestDeleteCameraRuntimeConfig(BaseTestHttp):
-    """Deleting a camera must keep the API and dispatcher on the same config."""
-
-    def setUp(self):
-        super().setUp(models=[Event, Recordings, ReviewSegment])
-        self.minimal_config = {
-            "mqtt": {"host": "mqtt"},
-            "cameras": {
-                "front_door": {
-                    "ffmpeg": {
-                        "inputs": [
-                            {"path": "rtsp://10.0.0.1:554/video", "roles": ["detect"]}
-                        ]
-                    },
-                    "detect": {"height": 1080, "width": 1920, "fps": 5},
-                },
-                "back_yard": {
-                    "ffmpeg": {
-                        "inputs": [
-                            {"path": "rtsp://10.0.0.2:554/video", "roles": ["detect"]}
-                        ]
-                    },
-                    "detect": {"height": 720, "width": 1280, "fps": 10},
-                },
-            },
-        }
-
-    def _write_config_file(self):
-        yaml = ruamel.yaml.YAML()
-        f = tempfile.NamedTemporaryFile(mode="w", suffix=".yml", delete=False)
-        yaml.dump(self.minimal_config, f)
-        f.close()
-        return f.name
-
-    def _create_app_with_dispatcher(self, dispatcher):
-        from fastapi import Request
-
-        from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
-        from frigate.api.fastapi_app import create_fastapi_app
-
-        mock_publisher = Mock(spec=CameraConfigUpdatePublisher)
-        mock_publisher.publisher = MagicMock()
-
-        app = create_fastapi_app(
-            FrigateConfig(**self.minimal_config),
-            self.db,
-            None,
-            None,
-            None,
-            None,
-            None,
-            None,
-            mock_publisher,
-            None,
-            dispatcher=dispatcher,
-            enforce_default_admin=False,
-        )
-
-        async def mock_get_current_user(request: Request):
-            return {
-                "username": request.headers.get("remote-user"),
-                "role": request.headers.get("remote-role"),
-            }
-
-        async def mock_get_allowed_cameras_for_filter(request: Request):
-            return list(self.minimal_config.get("cameras", {}).keys())
-
-        app.dependency_overrides[get_current_user] = mock_get_current_user
-        app.dependency_overrides[get_allowed_cameras_for_filter] = (
-            mock_get_allowed_cameras_for_filter
-        )
-
-        return app, mock_publisher
-
-    @patch("frigate.api.camera.requests.delete")
-    @patch("frigate.api.camera.cleanup_camera_files")
-    @patch("frigate.api.camera.cleanup_camera_db")
-    @patch("frigate.api.camera.find_config_file")
-    def test_delete_syncs_dispatcher_and_prunes_runtime_state(
-        self, mock_find_config, mock_cleanup_db, mock_cleanup_files, mock_go2rtc_delete
-    ):
-        """Deleting a camera swaps every config reference and prunes its state."""
-        config_path = self._write_config_file()
-        mock_find_config.return_value = config_path
-        mock_cleanup_db.return_value = ({}, [])
-
-        dispatcher = MagicMock()
-        dispatcher.comms = []
-
-        try:
-            app, _ = self._create_app_with_dispatcher(dispatcher)
-
-            with AuthTestClient(app) as client:
-                resp = client.delete("/cameras/front_door")
-
-                self.assertEqual(resp.status_code, 200)
-                self.assertTrue(resp.json()["success"])
-
-                # the dispatcher must be moved onto the same new object the API
-                # now serves, and that object must no longer contain the camera
-                self.assertIs(dispatcher.config, app.frigate_config)
-                self.assertNotIn("front_door", dispatcher.config.cameras)
-                self.assertIn("back_yard", dispatcher.config.cameras)
-
-                # surviving cameras' overrides are re-layered onto the new object
-                dispatcher.reapply_runtime_state_to_config.assert_called_once_with()
-
-                # the deleted camera's persisted overrides are pruned
-                dispatcher.clear_runtime_state_for_camera.assert_called_once_with(
-                    "front_door"
-                )
-        finally:
-            os.unlink(config_path)
-
-
-if __name__ == "__main__":
-    unittest.main()
@@ -91,123 +91,6 @@ class TestConfigSetWildcardPropagation(BaseTestHttp):

        return app, mock_publisher

-    def _create_app_with_dispatcher(self, dispatcher):
-        """Create app with a mocked config publisher and a real-ish dispatcher."""
-        from fastapi import Request
-
-        from frigate.api.auth import get_allowed_cameras_for_filter, get_current_user
-        from frigate.api.fastapi_app import create_fastapi_app
-
-        mock_publisher = Mock(spec=CameraConfigUpdatePublisher)
-        mock_publisher.publisher = MagicMock()
-
-        app = create_fastapi_app(
-            FrigateConfig(**self.minimal_config),
-            self.db,
-            None,
-            None,
-            None,
-            None,
-            None,
-            None,
-            mock_publisher,
-            None,
-            dispatcher=dispatcher,
-            enforce_default_admin=False,
-        )
-
-        async def mock_get_current_user(request: Request):
-            username = request.headers.get("remote-user")
-            role = request.headers.get("remote-role")
-            return {"username": username, "role": role}
-
-        async def mock_get_allowed_cameras_for_filter(request: Request):
-            return list(self.minimal_config.get("cameras", {}).keys())
-
-        app.dependency_overrides[get_current_user] = mock_get_current_user
-        app.dependency_overrides[get_allowed_cameras_for_filter] = (
-            mock_get_allowed_cameras_for_filter
-        )
-
-        return app, mock_publisher
-
-    @patch("frigate.api.app.find_config_file")
-    def test_runtime_disabled_camera_survives_unrelated_save(self, mock_find_config):
-        """A camera turned off at runtime stays off when another camera is saved."""
-        config_path = self._write_config_file()
-        mock_find_config.return_value = config_path
-
-        dispatcher = MagicMock()
-        dispatcher.comms = []
-
-        # front_door was turned off via the UI: the override is on disk, and
-        # yaml still says enabled: true. Stand in for the real replay, which
-        # reads dispatcher.config - the object the endpoint just swapped in.
-        def fake_reapply():
-            dispatcher.config.cameras["front_door"].enabled = False
-
-        dispatcher.reapply_runtime_state_to_config.side_effect = fake_reapply
-
-        try:
-            app, _ = self._create_app_with_dispatcher(dispatcher)
-
-            with AuthTestClient(app) as client:
-                resp = client.put(
-                    "/config/set",
-                    json={
-                        "config_data": {
-                            "cameras": {"back_yard": {"detect": {"fps": 7}}}
-                        },
-                        "requires_restart": 0,
-                    },
-                )
-
-                self.assertEqual(resp.status_code, 200)
-                self.assertTrue(resp.json()["success"])
-
-                # the swap must be repaired: the new config object the API and
-                # dispatcher now share has to still show front_door as off
-                dispatcher.reapply_runtime_state_to_config.assert_called_once_with()
-                self.assertFalse(app.frigate_config.cameras["front_door"].enabled)
-                self.assertIs(dispatcher.config, app.frigate_config)
-
-                # yaml-wins ordering: the surgical clear for rewritten keys
-                # must run before the replay, or a save that rewrote a toggle
-                # would have its old override resurrected
-                call_names = [name for name, _, _ in dispatcher.mock_calls]
-                self.assertLess(
-                    call_names.index("clear_runtime_state_for_yaml_keys"),
-                    call_names.index("reapply_runtime_state_to_config"),
-                )
-        finally:
-            os.unlink(config_path)
-
-    @patch("frigate.api.app.find_config_file")
-    def test_no_reapply_when_config_is_not_swapped(self, mock_find_config):
-        """A restart-required save with no update topic never swaps, so no replay."""
-        config_path = self._write_config_file()
-        mock_find_config.return_value = config_path
-
-        dispatcher = MagicMock()
-        dispatcher.comms = []
-
-        try:
-            app, _ = self._create_app_with_dispatcher(dispatcher)
-
-            with AuthTestClient(app) as client:
-                resp = client.put(
-                    "/config/set",
-                    json={
-                        "config_data": {"mqtt": {"host": "other"}},
-                        "requires_restart": 1,
-                    },
-                )
-
-                self.assertEqual(resp.status_code, 200)
-                dispatcher.reapply_runtime_state_to_config.assert_not_called()
-        finally:
-            os.unlink(config_path)
-
    def _write_config_file(self):
        """Write the minimal config to a temp YAML file and return the path."""
        yaml = ruamel.yaml.YAML()
@@ -8,7 +8,9 @@ from frigate.util.builtin import clean_camera_user_pass, escape_special_characte
 class TestUserPassCleanup(unittest.TestCase):
    def setUp(self) -> None:
        self.rtsp_with_pass = "rtsp://user:password@192.168.0.2:554/live"
-        self.rtsp_with_special_pass = "rtsp://user:password`~!@#$%^&*()-_;',.<>:\"\\{\\}\\[\\]@@192.168.0.2:554/live"
+        self.rtsp_with_special_pass = (
+            "rtsp://user:password`~!@#$%^&*()-_;',.<>:\"\{\}\[\]@@192.168.0.2:554/live"
+        )
        self.rtsp_no_pass = "rtsp://192.168.0.3:554/live"

    def test_cleanup(self):
@@ -1,55 +0,0 @@
-"""Tests for the shared runtime config swap helper."""
-
-import unittest
-from unittest.mock import MagicMock
-
-from frigate.api.config_util import swap_runtime_config
-
-
-class TestSwapRuntimeConfig(unittest.TestCase):
-    """swap_runtime_config rebinds every collaborator to the new config."""
-
-    def _make_app(self) -> MagicMock:
-        app = MagicMock()
-        app.dispatcher.comms = [MagicMock(), MagicMock()]
-        return app
-
-    def test_rebinds_all_references(self) -> None:
-        app = self._make_app()
-        config = MagicMock(name="new_config")
-
-        swap_runtime_config(app, config)
-
-        self.assertIs(app.frigate_config, config)
-        app.genai_manager.update_config.assert_called_once_with(config)
-        app.profile_manager.update_config.assert_called_once_with(config)
-        self.assertIs(app.stats_emitter.config, config)
-        self.assertIs(app.dispatcher.config, config)
-        for comm in app.dispatcher.comms:
-            self.assertIs(comm.config, config)
-
-    def test_reapplies_runtime_state_after_swap(self) -> None:
-        app = self._make_app()
-        config = MagicMock(name="new_config")
-
-        swap_runtime_config(app, config)
-
-        # the swap rebuilds cameras from yaml, so overrides must be re-layered
-        app.dispatcher.reapply_runtime_state_to_config.assert_called_once_with()
-
-    def test_tolerates_missing_optional_collaborators(self) -> None:
-        app = MagicMock()
-        app.profile_manager = None
-        app.stats_emitter = None
-        app.dispatcher = None
-        config = MagicMock(name="new_config")
-
-        # must not raise when the optional collaborators are absent
-        swap_runtime_config(app, config)
-
-        self.assertIs(app.frigate_config, config)
-        app.genai_manager.update_config.assert_called_once_with(config)
-
-
-if __name__ == "__main__":
-    unittest.main()
@@ -126,40 +126,6 @@ class TestRestoreRuntimeState(unittest.TestCase):
        self.dispatcher.restore_runtime_state()
        self.handler_mocks["detect"].assert_called_once_with("front_door", "ON")

-    def test_apply_runtime_state_replays_through_handlers(self) -> None:
-        """The extracted method replays every stored entry."""
-        with patch.object(
-            self.dispatcher._runtime_state,
-            "load",
-            return_value={"front_door": {"enabled": False, "detect": True}},
-        ):
-            self.dispatcher.apply_runtime_state()
-
-        self.handler_mocks["enabled"].assert_called_once_with("front_door", "OFF")
-        self.handler_mocks["detect"].assert_called_once_with("front_door", "ON")
-
-    def test_apply_runtime_state_returns_applied_entries(self) -> None:
-        """Callers get back what was replayed, for logging and assertions."""
-        with patch.object(
-            self.dispatcher._runtime_state,
-            "load",
-            return_value={"front_door": {"enabled": False}, "nope": {"enabled": True}},
-        ):
-            applied = self.dispatcher.apply_runtime_state()
-
-        self.assertEqual(applied, {"front_door": {"enabled": False}})
-
-    def test_restore_runtime_state_still_replays(self) -> None:
-        """The startup entry point keeps working after the extraction."""
-        with patch.object(
-            self.dispatcher._runtime_state,
-            "load",
-            return_value={"back_yard": {"snapshots": False}},
-        ):
-            self.dispatcher.restore_runtime_state()
-
-        self.handler_mocks["snapshots"].assert_called_once_with("back_yard", "OFF")
-

 class TestHandlersPersistViaSet(unittest.TestCase):
    """Verify each in-scope handler writes to the runtime state on success."""
@@ -246,122 +212,6 @@ class TestClearPassthrough(unittest.TestCase):
        dispatcher.clear_runtime_state()
        dispatcher._runtime_state.clear_all.assert_called_once_with()

-    def test_clear_runtime_state_for_camera_passthrough(self) -> None:
-        dispatcher = _build_dispatcher({})
-        dispatcher._runtime_state = MagicMock(spec=RuntimeStatePersistence)
-        dispatcher.clear_runtime_state_for_camera("front_door")
-        dispatcher._runtime_state.clear_camera.assert_called_once_with("front_door")
-
-
-class TestReapplyRuntimeStateToConfig(unittest.TestCase):
-    """The silent re-apply corrects the config object with no side effects."""
-
-    def _dispatcher_with(
-        self, cameras: dict[str, MagicMock], state: dict
-    ) -> Dispatcher:
-        dispatcher = _build_dispatcher(cameras)
-        dispatcher._runtime_state = MagicMock(spec=RuntimeStatePersistence)
-        dispatcher._runtime_state.load.return_value = state
-        dispatcher.publish = MagicMock()
-        return dispatcher
-
-    def test_mutates_every_tracked_field(self) -> None:
-        cameras = {"front_door": _make_camera_mock()}
-        dispatcher = self._dispatcher_with(
-            cameras,
-            {
-                "front_door": {
-                    "enabled": False,
-                    "detect": False,
-                    "snapshots": False,
-                    "recordings": False,
-                    "audio": False,
-                }
-            },
-        )
-
-        dispatcher.reapply_runtime_state_to_config()
-
-        cam = cameras["front_door"]
-        self.assertFalse(cam.enabled)
-        self.assertFalse(cam.detect.enabled)
-        self.assertFalse(cam.snapshots.enabled)
-        self.assertFalse(cam.record.enabled)
-        self.assertFalse(cam.audio.enabled)
-
-    def test_makes_no_zmq_mqtt_or_disk_writes(self) -> None:
-        dispatcher = self._dispatcher_with(
-            {"front_door": _make_camera_mock()},
-            {"front_door": {"enabled": False}},
-        )
-
-        dispatcher.reapply_runtime_state_to_config()
-
-        dispatcher.config_updater.publish_update.assert_not_called()
-        dispatcher._runtime_state.set.assert_not_called()
-        dispatcher.publish.assert_not_called()
-
-    def test_respects_enabled_in_config_gate(self) -> None:
-        # an ON override for a camera disabled in yaml must not enable it
-        cameras = {
-            "front_door": _make_camera_mock(enabled=False, enabled_in_config=False)
-        }
-        dispatcher = self._dispatcher_with(cameras, {"front_door": {"enabled": True}})
-
-        dispatcher.reapply_runtime_state_to_config()
-
-        self.assertFalse(cameras["front_door"].enabled)
-
-    def test_respects_recordings_and_audio_gates(self) -> None:
-        # ON overrides for recordings/audio not enabled in yaml must be ignored
-        cameras = {
-            "front_door": _make_camera_mock(
-                record_enabled=False,
-                record_enabled_in_config=False,
-                audio_enabled=False,
-                audio_enabled_in_config=False,
-            )
-        }
-        dispatcher = self._dispatcher_with(
-            cameras, {"front_door": {"recordings": True, "audio": True}}
-        )
-
-        dispatcher.reapply_runtime_state_to_config()
-
-        self.assertFalse(cameras["front_door"].record.enabled)
-        self.assertFalse(cameras["front_door"].audio.enabled)
-
-    def test_applies_on_override_when_gate_passes(self) -> None:
-        # a camera off in yaml but enabled_in_config keeps its runtime-on state
-        cameras = {
-            "front_door": _make_camera_mock(enabled=False, enabled_in_config=True)
-        }
-        dispatcher = self._dispatcher_with(cameras, {"front_door": {"enabled": True}})
-
-        dispatcher.reapply_runtime_state_to_config()
-
-        self.assertTrue(cameras["front_door"].enabled)
-
-    def test_detect_on_couples_motion(self) -> None:
-        cam = _make_camera_mock(detect_enabled=False)
-        cam.motion.enabled = False
-        dispatcher = self._dispatcher_with(
-            {"front_door": cam}, {"front_door": {"detect": True}}
-        )
-
-        dispatcher.reapply_runtime_state_to_config()
-
-        self.assertTrue(cam.detect.enabled)
-        self.assertTrue(cam.motion.enabled)
-
-    def test_skips_camera_not_in_config(self) -> None:
-        dispatcher = self._dispatcher_with(
-            {"front_door": _make_camera_mock()}, {"ghost": {"enabled": False}}
-        )
-
-        # a stale entry for a deleted camera must be ignored, not raise
-        dispatcher.reapply_runtime_state_to_config()
-

 if __name__ == "__main__":
    unittest.main()
@@ -491,34 +491,6 @@ class TestLlamaCppProvider(unittest.TestCase):
        final = _final_message(self._run_with_lines(client, lines, MULTIMODAL_MESSAGES))
        self.assertEqual(final["content"], "ok")

-    def _validated_client(self, server_context_size, provider_options=None):
-        """Build a client as if the server reported the given context size."""
-        cfg = GenAIConfig(
-            provider="llamacpp",
-            model="m",
-            base_url="http://localhost:9999",
-            provider_options=provider_options or {},
-        )
-        info = {
-            "context_size": server_context_size,
-            "supports_vision": False,
-            "supports_audio": False,
-            "supports_tools": False,
-            "supports_reasoning": False,
-            "media_marker": "<__media__>",
-        }
-        cls = PROVIDERS[GenAIProviderEnum.llamacpp]
-        with patch.object(cls, "_get_model_info", return_value=info):
-            return cls(cfg, timeout=5)
-
-    def test_server_context_size_used_without_override(self):
-        client = self._validated_client(4096)
-        self.assertEqual(client.get_context_size(), 4096)
-
-    def test_provider_options_context_size_overrides_server(self):
-        client = self._validated_client(4096, {"context_size": 32768})
-        self.assertEqual(client.get_context_size(), 32768)
-

 if __name__ == "__main__":
    unittest.main()
@@ -786,15 +786,8 @@ class TestProfileManager(unittest.TestCase):
        dispatcher.clear_runtime_state.assert_not_called()

    @patch.object(ProfileManager, "_persist_active_profile")
-    def test_update_config_preserves_runtime_state_with_active_profile(
-        self, mock_persist
-    ):
-        """A config/set save must not wipe overrides it never rewrote.
-
-        The save path clears matching entries itself via
-        clear_runtime_state_for_yaml_keys; a broad wipe here would drop
-        overrides for unrelated cameras.
-        """
+    def test_update_config_clears_when_active_profile_reapplies(self, mock_persist):
+        """After /api/config/set, an active-profile re-application drops state."""
        dispatcher = MagicMock()
        manager = ProfileManager(self.config, self.mock_updater, dispatcher)
        manager.activate_profile("armed")
@@ -802,20 +795,7 @@ class TestProfileManager(unittest.TestCase):

        new_config = FrigateConfig(**self.config_data)
        manager.update_config(new_config)
-        dispatcher.clear_runtime_state.assert_not_called()
-
-    @patch.object(ProfileManager, "_persist_active_profile")
-    def test_update_config_still_reapplies_active_profile(self, mock_persist):
-        """Dropping the wipe must not disturb profile re-application."""
-        dispatcher = MagicMock()
-        manager = ProfileManager(self.config, self.mock_updater, dispatcher)
-        manager.activate_profile("armed")
-
-        new_config = FrigateConfig(**self.config_data)
-        manager.update_config(new_config)
-
-        self.assertEqual(manager.config, new_config)
-        self.assertEqual(new_config.active_profile, "armed")
+        dispatcher.clear_runtime_state.assert_called_once_with()

    @patch.object(ProfileManager, "_persist_active_profile")
    def test_update_config_does_not_clear_when_no_active_profile(self, mock_persist):
@@ -131,25 +131,6 @@ class TestRuntimeStatePersistence(unittest.TestCase):
        self.store.clear_all()
        self.assertEqual(self.store.load(), {})

-    def test_clear_camera_removes_only_that_camera(self) -> None:
-        self.store.set("front_door", "enabled", False)
-        self.store.set("front_door", "detect", False)
-        self.store.set("back_yard", "audio", False)
-
-        self.store.clear_camera("front_door")
-
-        self.assertEqual(self.store.load(), {"back_yard": {"audio": False}})
-
-    def test_clear_camera_is_noop_for_unknown_camera(self) -> None:
-        self.store.set("front_door", "enabled", False)
-        self.store.clear_camera("side_gate")
-        self.assertEqual(self.store.load(), {"front_door": {"enabled": False}})
-
-    def test_clear_camera_is_safe_when_file_missing(self) -> None:
-        # No prior set() calls, so the file does not exist
-        self.store.clear_camera("front_door")
-        self.assertEqual(self.store.load(), {})
-

 if __name__ == "__main__":
    unittest.main()
@@ -1,63 +0,0 @@
-"""Tests for embedding cleanup on the main Frigate database.
-
-Embeddings are deleted whether or not semantic search is currently enabled, so
-the delete path has to tolerate databases where the vec0 tables were never
-created and installs where the sqlite-vec extension is unavailable.
-"""
-
-import os
-import tempfile
-import unittest
-
-from frigate.db.sqlitevecq import SqliteVecQueueDatabase
-
-
-class TestDeleteEmbeddings(unittest.TestCase):
-    def setUp(self) -> None:
-        self.tmp_dir = tempfile.TemporaryDirectory()
-        self.db = SqliteVecQueueDatabase(os.path.join(self.tmp_dir.name, "test.db"))
-        self.db.start()
-        # the extension is not available to tests, so stand in for a database
-        # that has it loaded and use a plain table for the deletes
-        self.db.load_vec_extension = True
-
-    def tearDown(self) -> None:
-        self.db.stop()
-        self.db.close()
-        self.tmp_dir.cleanup()
-
-    def _flush_writes(self) -> None:
-        # writes are queued and applied by a worker thread, and the queue is
-        # FIFO, so awaiting a later write means the earlier ones are done
-        self.db.execute_sql("PRAGMA user_version = 0").fetchall()
-
-    def _create_thumbnails_table(self) -> None:
-        self.db.execute_sql("CREATE TABLE vec_thumbnails (id TEXT PRIMARY KEY)")
-        self.db.execute_sql("INSERT INTO vec_thumbnails (id) VALUES ('a'), ('b')")
-        self._flush_writes()
-
-    def _thumbnail_ids(self) -> list[str]:
-        return [row[0] for row in self.db.execute_sql("SELECT id FROM vec_thumbnails")]
-
-    def test_delete_without_tables_does_not_raise(self) -> None:
-        # semantic search was never enabled, so event cleanup has nothing to do
-        self.db.delete_embeddings_thumbnail(event_ids=["1700000000.0-abc"])
-        self.db.delete_embeddings_description(event_ids=["1700000000.0-abc"])
-
-    def test_delete_removes_embeddings(self) -> None:
-        self._create_thumbnails_table()
-
-        self.db.delete_embeddings_thumbnail(event_ids=["a"])
-        self._flush_writes()
-
-        self.assertEqual(self._thumbnail_ids(), ["b"])
-
-    def test_delete_skipped_without_extension(self) -> None:
-        self._create_thumbnails_table()
-        self.db.load_vec_extension = False
-
-        self.db.delete_embeddings_thumbnail(event_ids=["a"])
-        self._flush_writes()
-
-        # the vec0 tables cannot be written without the extension
-        self.assertEqual(self._thumbnail_ids(), ["a", "b"])
@@ -115,13 +115,6 @@ class TestCheckWsAuthorization(unittest.TestCase):
            )
        )

-    def test_viewer_blocked_from_notification_test(self):
-        self.assertFalse(
-            _check_ws_authorization(
-                "notification_test", "viewer", self.DEFAULT_SEPARATOR
-            )
-        )
-
    # --- Admin access ---

    def test_admin_can_send_restart(self):
@@ -141,13 +134,6 @@ class TestCheckWsAuthorization(unittest.TestCase):
            _check_ws_authorization("front_door/ptz", "admin", self.DEFAULT_SEPARATOR)
        )

-    def test_admin_can_send_notification_test(self):
-        self.assertTrue(
-            _check_ws_authorization(
-                "notification_test", "admin", self.DEFAULT_SEPARATOR
-            )
-        )
-
    # --- Comma-separated roles ---

    def test_comma_separated_admin_viewer_grants_admin(self):
@@ -684,21 +684,22 @@ class TrackedObjectProcessor(threading.Thread):
            # check for config updates
            updated_topics = self.camera_config_subscriber.check_for_updates()

-            # a single drain can carry several topics at once, so add and
-            # remove are handled independently rather than as exclusive branches
-            for camera in updated_topics.get("add", []):
-                self.config.cameras[camera] = (
-                    self.camera_config_subscriber.camera_configs[camera]
-                )
-                self.create_camera_state(camera)
-
-            if "remove" in updated_topics:
+            if "enabled" in updated_topics:
+                for camera in updated_topics["enabled"]:
+                    if self.camera_states[camera].prev_enabled is None:
+                        self.camera_states[camera].prev_enabled = self.config.cameras[
+                            camera
+                        ].enabled
+            elif "add" in updated_topics:
+                for camera in updated_topics["add"]:
+                    self.config.cameras[camera] = (
+                        self.camera_config_subscriber.camera_configs[camera]
+                    )
+                    self.create_camera_state(camera)
+            elif "remove" in updated_topics:
                for camera in updated_topics["remove"]:
-                    camera_state = self.camera_states.get(camera)
-                    if camera_state is None:
-                        continue
-
-                    camera_state.shutdown()
+                    removed_camera_state = self.camera_states[camera]
+                    removed_camera_state.shutdown()
                    self.camera_states.pop(camera)
                    self.camera_activity.pop(camera, None)
                    self.last_motion_detected.pop(camera, None)
@@ -326,7 +326,7 @@ def get_ort_providers(
                    {
                        "device_id": device_id,
                        "trt_fp16_enable": requires_fp16
-                        and os.environ.get("USE_FP16", "True") != "False",
+                        and os.environ.get("USE_FP_16", "True") != "False",
                        "trt_timing_cache_enable": True,
                        "trt_engine_cache_enable": True,
                        "trt_timing_cache_path": os.path.join(
@@ -1,129 +0,0 @@
-/**
- * Semantic Search settings tests -- MEDIUM tier.
- *
- * Focuses on the model_size field, which is unused when a GenAI embeddings
- * provider is selected as the semantic search model. The resolved config always
- * reports model_size (it has a schema default of "small"), even when the YAML
- * file has no such key. Clearing model_size for a provider used to run
- * unconditionally, which falsely marked the section dirty on load and asked the
- * backend to delete a key that wasn't in the config file (KeyError: 'model_size').
- */
-
-import { readFileSync } from "node:fs";
-import { resolve, dirname } from "node:path";
-import { fileURLToPath } from "node:url";
-import { test, expect } from "../../fixtures/frigate-test";
-import type { Page } from "@playwright/test";
-import { configFactory } from "../../fixtures/mock-data/config";
-
-const __dirname = dirname(fileURLToPath(import.meta.url));
-const CONFIG_SCHEMA = JSON.parse(
-  readFileSync(
-    resolve(__dirname, "../../fixtures/mock-data/config-schema.json"),
-    "utf-8",
-  ),
-);
-
-const PROVIDER = "llama_cpp";
-const SETTINGS_URL = "/settings?page=integrationSemanticSearch";
-const NOT_APPLICABLE = "Not applicable for GenAI providers";
-const UNSAVED = "You have unsaved changes";
-
-type SemanticSearch = {
-  enabled?: boolean;
-  model?: string;
-  model_size?: string;
-};
-
-async function installRoutes(page: Page, semanticSearch: SemanticSearch) {
-  const config = configFactory({
-    genai: { [PROVIDER]: { provider: PROVIDER, roles: ["embeddings"] } },
-    semantic_search: semanticSearch,
-  });
-
-  let lastSavedConfig: unknown = null;
-
-  await page.route("**/api/config/schema.json", (route) =>
-    route.fulfill({ json: CONFIG_SCHEMA }),
-  );
-  await page.route("**/api/config", (route) => {
-    if (route.request().method() === "GET") {
-      return route.fulfill({ json: config });
-    }
-    return route.fulfill({ json: { success: true } });
-  });
-  await page.route("**/api/config/set", async (route) => {
-    lastSavedConfig = route.request().postDataJSON();
-    await route.fulfill({ json: { success: true, require_restart: false } });
-  });
-  await page.route("**/api/config/raw_paths", (route) =>
-    route.fulfill({ json: { semantic_search: semanticSearch } }),
-  );
-
-  return { capturedConfig: () => lastSavedConfig };
-}
-
-test.describe("semantic search model_size @medium", () => {
-  test("a provider with a defaulted model_size is not dirty on load", async ({
-    frigateApp,
-  }) => {
-    // model_size stays at its schema default ("small"), i.e. it is not present
-    // in the YAML. This mirrors the reported bug: selecting a GenAI provider and
-    // returning to the page.
-    await installRoutes(frigateApp.page, {
-      enabled: true,
-      model: PROVIDER,
-    });
-    await frigateApp.goto(SETTINGS_URL);
-
-    // The provider path is active: model_size shows "Not applicable".
-    await expect(frigateApp.page.getByText(NOT_APPLICABLE)).toBeVisible();
-
-    // Give any clearing effect time to fire, then confirm the section stayed
-    // clean (no phantom unsaved-changes banner, Save disabled).
-    await frigateApp.page.waitForTimeout(1000);
-    await expect(frigateApp.page.getByText(UNSAVED)).toBeHidden();
-    await expect(
-      frigateApp.page.getByRole("button", { name: "Save", exact: true }),
-    ).toBeDisabled();
-  });
-
-  test("switching from a configured non-default model_size clears it", async ({
-    frigateApp,
-  }) => {
-    // A genuinely configured non-default model_size ("large") can only come from
-    // the YAML, so switching to a provider must still remove it.
-    const capture = await installRoutes(frigateApp.page, {
-      enabled: true,
-      model: "jinav2",
-      model_size: "large",
-    });
-    await frigateApp.goto(SETTINGS_URL);
-
-    // Starts clean on a Jina model.
-    await expect(frigateApp.page.getByText(UNSAVED)).toBeHidden();
-
-    // Switch the model to the GenAI provider.
-    await frigateApp.page
-      .getByRole("combobox", { name: /Semantic search model/ })
-      .click();
-    await frigateApp.page.getByRole("option", { name: PROVIDER }).click();
-
-    // The change is now dirty and model_size is no longer applicable.
-    await expect(frigateApp.page.getByText(NOT_APPLICABLE)).toBeVisible();
-    await expect(frigateApp.page.getByText(UNSAVED)).toBeVisible();
-
-    await frigateApp.page
-      .getByRole("button", { name: "Save", exact: true })
-      .click();
-
-    // The saved payload removes model_size (empty string = "remove" key).
-    await expect
-      .poll(() => capture.capturedConfig(), { timeout: 5_000 })
-      .toMatchObject({
-        config_data: {
-          semantic_search: { model: PROVIDER, model_size: "" },
-        },
-      });
-  });
-});
@@ -73,7 +73,7 @@
        "react-markdown": "^9.0.1",
        "react-router-dom": "^6.30.3",
        "react-swipeable": "^7.0.2",
-        "react-zoom-pan-pinch": "3.4.4",
+        "react-zoom-pan-pinch": "^3.7.0",
        "remark-gfm": "^4.0.0",
        "scroll-into-view-if-needed": "^3.1.0",
        "sonner": "^2.0.7",
@@ -12354,9 +12354,9 @@
      }
    },
    "node_modules/react-zoom-pan-pinch": {
-      "version": "3.4.4",
-      "resolved": "https://registry.npmjs.org/react-zoom-pan-pinch/-/react-zoom-pan-pinch-3.4.4.tgz",
-      "integrity": "sha512-lGTu7D9lQpYEQ6sH+NSlLA7gicgKRW8j+D/4HO1AbSV2POvKRFzdWQ8eI0r3xmOsl4dYQcY+teV6MhULeg1xBw==",
+      "version": "3.7.0",
+      "resolved": "https://registry.npmjs.org/react-zoom-pan-pinch/-/react-zoom-pan-pinch-3.7.0.tgz",
+      "integrity": "sha512-UmReVZ0TxlKzxSbYiAj+LeGRW8s8LraAFTXRAxzMYnNRgGPsxCudwZKVkjvGmjtx7SW/hZamt69NUmGf4xrkXA==",
      "license": "MIT",
      "engines": {
        "node": ">=8",
@@ -87,7 +87,7 @@
    "react-markdown": "^9.0.1",
    "react-router-dom": "^6.30.3",
    "react-swipeable": "^7.0.2",
-    "react-zoom-pan-pinch": "3.4.4",
+    "react-zoom-pan-pinch": "^3.7.0",
    "remark-gfm": "^4.0.0",
    "scroll-into-view-if-needed": "^3.1.0",
    "sonner": "^2.0.7",
@@ -61,7 +61,8 @@
      "error": {
        "endTimeMustAfterStartTime": "L'hora de finalització ha de ser posterior a l'hora d'inici",
        "noVaildTimeSelected": "No s'ha seleccionat un rang de temps vàlid",
-        "failed": "No s'ha pogut inciar l'exportació: {{error}}"
+        "failed": "No s'ha pogut inciar l'exportació: {{error}}",
+        "noValidTimeSelected": "No s'ha seleccionat cap interval de temps vàlid"
      },
      "view": "Vista",
      "queued": "Exporta a la cua. Mostra el progrés a la pàgina d'exportacions.",
@@ -493,6 +493,9 @@
            "max_concurrent": {
                "label": "Màxim d'exportacions concurrents",
                "description": "Nombre màxim de treballs d'exportació a processar al mateix temps."
+            },
+            "chapters": {
+                "label": "Metadades de capítol per incrustar en els enregistraments exportats"
            }
        },
        "preview": {
@@ -380,6 +380,9 @@
            "max_concurrent": {
                "label": "Màxim d'exportacions concurrents",
                "description": "Nombre màxim de treballs d'exportació a processar al mateix temps."
+            },
+            "chapters": {
+                "label": "Metadades de capítol per incrustar en els enregistraments exportats"
            }
        },
        "preview": {
@@ -192,7 +192,20 @@
    "title": "Edita el model de classificació",
    "descriptionState": "Edita les classes per a aquest model de classificació d'estats. Els canvis requeriran tornar a entrenar el model.",
    "descriptionObject": "Edita el tipus d'objecte i el tipus de classificació per a aquest model de classificació d'objectes.",
-    "stateClassesInfo": "Nota: Canviar les classes d'estat requereix tornar a entrenar el model amb les classes actualitzades."
+    "stateClassesInfo": "S'ha actualitzat el model. Restringeix el model perquè els canvis de classe tinguin efecte.",
+    "enabled": "Habilitat",
+    "enabledDesc": "Executa aquest model. Quan està desactivat, deixa d'executar-se i ja no classifica.",
+    "saveAttempts": "Desa els intents",
+    "saveAttemptsDesc": "Nombre d'imatges de classificació que s'intenten mantenir per a les classificacions recents UI.",
+    "motion": "Executa en moviment",
+    "motionDesc": "Executa la classificació quan es detecta el moviment dins de l'escapçat configurat.",
+    "interval": "Interval",
+    "intervalDesc": "Segons entre les classificacions periòdiques. Deixeu-ho buit per a executar-se només en moviment.",
+    "intervalPlaceholder": "Sense interval",
+    "errors": {
+      "saveAttemptsInvalid": "Els intents de desar han de ser un nombre sencer de 0 o més",
+      "intervalInvalid": "L'interval ha de ser un nombre sencer més gran que 0"
+    }
  },
  "tooltip": {
    "trainingInProgress": "El model s'està entrenant actualment",
@@ -202,5 +215,6 @@
  },
  "none": "Cap",
  "reclassifyImageAs": "Reclassifica la imatge com a:",
-  "reclassifyImage": "Reclassifica la imatge"
+  "reclassifyImage": "Reclassifica la imatge",
+  "disabled": "Desactivat"
 }
@@ -303,7 +303,7 @@
      },
      "offset": {
        "label": "Òfset d'Anotació",
-        "desc": "Aquestes dades provenen del flux de detecció de la càmera, però se superposen a les imatges del flux de gravació. És poc probable que els dos fluxos estiguin perfectament sincronitzats. Com a resultat, el quadre delimitador i les imatges no s'alinearan perfectament. Tanmateix, es pot utilitzar el camp <code>annotation_offset</code> per ajustar-ho.",
+        "desc": "Aquestes dades provenen del canal de detecció de la càmera, però estan sobreposades a les imatges del canal de registre. És poc probable que els dos corrents estiguin perfectament sincronitzats. Com a resultat, la caixa contenidora i les imatges no s'alinearan perfectament. Podeu utilitzar aquest paràmetre per a compensar les anotacions cap endavant o cap enrere en el temps per a alinear-les millor amb el metratge gravat.",
        "millisecondsToOffset": "Millisegons per l'òfset de detecció d'anotacions per. <em>Per defecte: 0</em>",
        "tips": "Reduïu el valor si la reproducció del vídeo es troba per davant dels quadres i els punts de ruta, i augmenteu-lo si es troba per darrere. Aquest valor pot ser negatiu.",
        "toast": {
@@ -698,7 +698,7 @@
        "title": "Crear un nou usuari",
        "confirmPassword": "Siusplau, confirma la contrasenya",
        "usernameOnlyInclude": "El nom d'usuari només pot contenir lletres, números, . o _",
-        "desc": "Afegeix un nou compte d'usuari i especifica un rol per accedir a àrees de la interfície de Frigate."
+        "desc": "Afegeix un compte d'usuari nou i especifica un rol per a l'accés a les àrees de la interfície d'usuari de Frigate."
      }
    },
    "title": "Usuaris",
@@ -1323,7 +1323,7 @@
      "details": {
        "edit": "Edita els detalls de la càmera",
        "title": "Edita els detalls de la càmera",
-        "description": "Actualitza el nom de visualització, l'URL extern i la visibilitat utilitzada per a aquesta càmera a tota la interfície d'usuari de la Fragata.",
+        "description": "Actualitza el nom de visualització, l'URL extern i la visibilitat utilitzada per a aquesta càmera a tota la interfície d'usuari de Frigate.",
        "friendlyNameLabel": "Nom a mostrar",
        "friendlyNameHelp": "Nom amistós que es mostra per a aquesta càmera a tota la interfície d'usuari de Frigate. Deixeu-ho en blanc per utilitzar l'ID de la càmera.",
        "webuiUrlLabel": "URL de la interfície web de la càmera",
@@ -1484,7 +1484,7 @@
        "successMulti_other": "Configuració copiada a {{count}} càmeres",
        "successMultiWithRestart_one": "Configuració copiada a la càmera {{count}}. Reinicia Frigate per aplicar tots els canvis.",
        "successMultiWithRestart_many": "Configuració copiada a {{count}} càmeres. Reinicia Frigate per aplicar tots els canvis.",
-        "successMultiWithRestart_other": "Configuració copiada a {{count}} càmeres. Reinicia la fragata per aplicar tots els canvis.",
+        "successMultiWithRestart_other": "Configuració copiada a {{count}} càmeres. Reinicia Frigate per aplicar tots els canvis.",
        "partialFailure": "{{successCount}} seccions aplicades; «{{failedSection}}» ha fallat: {{errorMessage}}",
        "partialFailureMulti": "S'ha copiat a {{successCount}} càmera(es); ha fallat {{failed}}: {{errorMessage}}",
        "newCameraPartialFailure": "S'ha creat la càmera {{cameraName}} però no s'han pogut copiar alguns paràmetres: {{errorMessage}}",
@@ -1641,7 +1641,14 @@
      "keyLabel": "Clau",
      "valueLabel": "Valor",
      "keyPlaceholder": "Nou valor",
-      "remove": "Elimina"
+      "remove": "Elimina",
+      "providerNameLabel": "Nom del proveïdor",
+      "providerNamePlaceholder": "p. ex., openai",
+      "variableNameLabel": "Nom de la variable",
+      "variableNamePlaceholder": ". ex., La_Meva_Variable",
+      "loggerNameLabel": "Nom del registrador",
+      "loggerNamePlaceholder": "p. ex., friagte.registre",
+      "keyPatternError": "Utilitza només lletres, números, guions i guions baixos (sense espais)"
    },
    "timezone": {
      "defaultOption": "Utilitza la zona horària del navegador"
@@ -322,7 +322,7 @@
      },
      "model_type": {
        "label": "Object Detection Model Type",
-        "description": "Detector model architecture type (ssd, yolox, yolonas, yolo-generic, rfdetr, dfine) used by some detectors for optimization."
+        "description": "Detector model architecture type (ssd, yolox, yolonas) used by some detectors for optimization."
      }
    },
    "model_path": {
@@ -495,7 +495,7 @@
    },
    "model_type": {
      "label": "Object Detection Model Type",
-      "description": "Detector model architecture type (ssd, yolox, yolonas, yolo-generic, rfdetr, dfine) used by some detectors for optimization."
+      "description": "Detector model architecture type (ssd, yolox, yolonas) used by some detectors for optimization."
    }
  },
  "genai": {
@@ -125,7 +125,5 @@
  "baby": "Baby",
  "baby_stroller": "Baby Stroller",
  "rickshaw": "Rickshaw",
-  "rodent": "Rodent",
-  "possum": "Possum",
-  "garbage_truck": "Garbage Truck"
+  "rodent": "Rodent"
 }
@@ -1936,8 +1936,7 @@
      "inputDimensionsNotDetectResolution": "Model input width and height are the input dimensions of the object detection model, not your camera's detect resolution. They should match the dimensions of the model you're using — typically a square size like 320x320 or 640x640."
    },
    "ffmpeg": {
-      "hwaccelManualNotRecommended": "Manual hardware acceleration arguments are not recommended. Unless a specific requirement exists, select the preset that matches your hardware.",
-      "inputsMissingGo2rtcStream": "An input below points at a go2rtc restream that no longer exists. Select an existing restream or enter the camera's URL manually, otherwise this camera will fail to connect."
+      "hwaccelManualNotRecommended": "Manual hardware acceleration arguments are not recommended. Unless a specific requirement exists, select the preset that matches your hardware."
    },
    "objects": {
      "genaiNoDescriptionsProvider": "You must configure a GenAI provider with the 'descriptions' role for descriptions to be generated."
@@ -273,5 +273,69 @@
  "sailboat": "Purjekas",
  "soundtrack_music": "Filmimuusika",
  "jingle": "Kõlisemine/tilisemine",
-  "theme_music": "Tunnusmuusika"
+  "theme_music": "Tunnusmuusika",
+  "steel_guitar": "Steel Kitarr",
+  "tapping": "Koputamine",
+  "strum": "Klimberdus",
+  "drum_machine": "Trummimasin",
+  "drum": "Trumm",
+  "maraca": "Marakas",
+  "bowed_string_instrument": "Poogenkeelpill",
+  "singing_bowl": "Helikauss",
+  "wind_noise": "Tuulemüra",
+  "rustling_leaves": "Sahisevad lehed",
+  "waves": "Lained",
+  "steam": "Aur",
+  "ship": "Laev",
+  "motor_vehicle": "Mootorsõiduk",
+  "rowboat": "Sõudepaat",
+  "motorboat": "Mootorpaat",
+  "waterfall": "Kosk",
+  "ocean": "Ookean",
+  "rain_on_surface": "Vihm pinnal",
+  "stream": "Oja",
+  "fire": "Tuli",
+  "crackle": "Praksumine",
+  "car_alarm": "Auto alarm",
+  "truck": "Veoauto",
+  "police_car": "Politseiauto",
+  "ambulance": "Kiirabi",
+  "fire_engine": "Tuletõrjeauto",
+  "aircraft": "Lennuk",
+  "aircraft_engine": "Lennukimootor",
+  "jet_engine": "Reaktiivmootor",
+  "propeller": "Propeller",
+  "helicopter": "Helikopter",
+  "fixed-wing_aircraft": "Fikseeritud tiivaga õhusõiduk",
+  "train_horn": "Rongisignaal",
+  "railroad_car": "Kaubavagun",
+  "lawn_mower": "Muruniiduk",
+  "chainsaw": "mootorsaag",
+  "engine": "Mootor",
+  "knock": "Koputus",
+  "alarm": "Häire",
+  "siren": "Sireen",
+  "fire_alarm": "Tulekahjuhäire",
+  "telephone": "Telefon",
+  "telephone_bell_ringing": "Helisev telefon",
+  "ringtone": "Telefonihelin",
+  "smoke_detector": "Suitsuandur",
+  "foghorn": "Udupasun",
+  "whistle": "Vile",
+  "printer": "Printer",
+  "drill": "Puur",
+  "explosion": "Plahvatus",
+  "hammer": "Haamer",
+  "air_conditioning": "Õhukonditsioneer",
+  "gunshot": "Püssilask",
+  "glass": "Klaas",
+  "boom": "Pauk",
+  "fireworks": "Ilutulestik",
+  "static": "Staatiline",
+  "white_noise": "Valge müra",
+  "radio": "Raadio",
+  "television": "Televiisor",
+  "scream": "Karjumine",
+  "pour": "Valamine",
+  "drip": "Tilkumine"
 }
@@ -37,6 +37,9 @@
          "ask_an": "Kas see objekt on <code>{{label}}</code>?",
          "ask_full": "Kas see objekt on <code>{{untranslatedLabel}}</code> ({{translatedLabel}})?",
          "label": "Kinnita see silt Frigate+ teenuse jaoks"
+        },
+        "toast": {
+          "error": "Frigate+ teenusesse saatmine ebaõnnestus. Palun kontrolli oma võrguühendust ja proovi uuesti."
        }
      },
      "submitToPlus": {
@@ -70,18 +73,79 @@
      "success": "Eksportimise käivitamine õnnestus. Faili leiad eksportimise lehelt.",
      "view": "Vaata",
      "error": {
-        "failed": "Eksportimise käivitamine ei õnnestunud: {{error}}",
+        "failed": "Eksportimise järjekorda lisamine ei õnnestunud: {{error}}",
        "endTimeMustAfterStartTime": "Ajavahemiku lõpp peab olema peale algust",
-        "noVaildTimeSelected": "Ühtegi kehtivat ajavahemikku pole valitud"
-      }
+        "noVaildTimeSelected": "Ühtegi kehtivat ajavahemikku pole valitud",
+        "noValidTimeSelected": "Ühtegi korrektset ajavahemikku pole valitud"
+      },
+      "queued": "Eksport on järjekorda lisatud. Vaata progressi eksportide lehelt.",
+      "batchSuccess_one": "Alustasin 1 ekspordiga. Avan juhtumi kohe.",
+      "batchSuccess_other": "Alustasin {{count}} ekspordiga. Avan juhtumi kohe.",
+      "batchPartial": "Alustasin {{successful}}/{{total}} ekspordiga. Ebaõnnestunud kaamerad: {{failedCameras}}",
+      "batchFailed": "{{total}} eksporti ebaõnnestus algatada. Ebaõnnestunud kaamerad: {{failedCameras}}",
+      "batchQueuedSuccess_one": "1 eksport järjekorda lisatud. Avan juhtumi kohe.",
+      "batchQueuedSuccess_other": "{{count}} eksporti järjekorda lisatud. Avan juhtumi kohe.",
+      "batchQueuedPartial": "{{successful}}/{{total}} ekspordist on järjekorda lisatud. Ebaõnnestunud kaamerad: {{failedCameras}}",
+      "batchQueueFailed": "{{total}} eksporti ebaõnnestus järjekorda lisada. Ebaõnnestunud kaamerad: {{failedCameras}}"
    },
    "fromTimeline": {
      "saveExport": "Salvesta eksporditud sisu",
-      "previewExport": "Eksporditud sisu eelvaade"
+      "previewExport": "Eksporditud sisu eelvaade",
+      "queueingExport": "Ekspordi järjekorda lisamine...",
+      "useThisRange": "Kasuta seda vahemikku"
    },
    "case": {
      "label": "Juhtum",
-      "placeholder": "Vali juhtum"
+      "placeholder": "Vali juhtum",
+      "newCaseOption": "Ava uus juhtum",
+      "newCaseNamePlaceholder": "Uue juhtumi nimi",
+      "newCaseDescriptionPlaceholder": "Juhtumi kirjeldus",
+      "nonAdminHelp": "Uus juhtum avatakse järnevatele eksportidele."
+    },
+    "queueing": "Ekspordi järjekorda lisamine...",
+    "tabs": {
+      "export": "Üksik kaamera",
+      "multiCamera": "Mitu kaamerat"
+    },
+    "multiCamera": {
+      "timeRange": "Ajavahemik",
+      "selectFromTimeline": "Vali ajajoonelt",
+      "cameraSelection": "Kaamerad",
+      "cameraSelectionHelp": "Selles ajavahemikus tuvastatud objektidega kaamerad on eelvalitud",
+      "searchOrSelectGroup": "Otsi või vali kaamera grupp...",
+      "selectAll": "Vali kõik kaamerad",
+      "clearSelection": "Tühista valik",
+      "selectWithActivity": "Jälgitud objektidega kaamerad",
+      "selectGroup": "Vali grupp",
+      "noMatchingCameras": "Ükski kaamera ei sobitunud otsinguga",
+      "selectedCount": "{{selected}} / {{total}} valitud",
+      "checkingActivity": "Kaamera aktiivsuse kontrollimine...",
+      "noCameras": "Ühtegi kaamerat pole saadaval",
+      "detectionCount_one": "1 jälgitav objekt",
+      "detectionCount_other": "{{count}} jälgitavat objekti",
+      "nameLabel": "Ekspordi nimi",
+      "namePlaceholder": "Valikuline baasnimi nendele eksportidele",
+      "queueingButton": "Ekspordi järjekorda lisamine...",
+      "exportButton_one": "Ekspordi 1 kaamera",
+      "exportButton_other": "Ekspordi {{count}} kaamerat"
+    },
+    "multi": {
+      "title_one": "Ekspordi 1 ülevaade",
+      "title_other": "Espordi {{count}} ülevaadet",
+      "description": "Ekspordi valitud ülevaated. Kõik ekspordid on grupeeritud ühte juhtumisse.",
+      "descriptionNoCase": "Ekspordi kõik valitud juhtumid.",
+      "caseNamePlaceholder": "Ülevaate eksport - {{date}}",
+      "exportButton_one": "Ekspordi 1 ülevaade",
+      "exportButton_other": "Ekspordi {{count}} ülevaadet",
+      "exportingButton": "Ekspordin...",
+      "toast": {
+        "started_one": "Alustasin 1 eksporti. Avan juhtumi kohe.",
+        "started_other": "Alustasin {{count}} ekspordiga. Avan juhtumi kohe.",
+        "startedNoCase_one": "Alustasin 1 ekspordiga.",
+        "startedNoCase_other": "Alustasin {{count}} ekspordiga.",
+        "partial": "Alustasin {{successful}}/{{total}} ekspordiga. Ebaõnnestusid: {{failedItems}}",
+        "failed": "{{total}} ekspordi algatamine ebaõnnestus. Ebaõnnestunud: {{failedItems}}"
+      }
    }
  },
  "streaming": {
@@ -114,6 +178,14 @@
        "success": "Selle ülevaadatava objektiga seotud videosisu on kustutatud.",
        "error": "Kustutamine ei õnnestunud: {{error}}"
      }
+    },
+    "shareTimestamp": {
+      "label": "Jaotise ajatempel",
+      "title": "Jaotise ajatempel",
+      "description": "Jaga praeguse esituskoha ajatempliga URL-i või vali kohandatud ajatempel. Arvesta, et see ei ole avalik jagamislink ja on kättesaadav ainult kasutajatele, kellel on ligipääs Frigate'ile ja sellele kaamerale.",
+      "custom": "Kohandatud ajatempel",
+      "button": "Jaga ajatempliga linki",
+      "shareTitle": "Frigate ülevaate ajatempel: {{camera}}"
    }
  },
  "imagePicker": {
@@ -12,11 +12,20 @@
        "description": "Kasutusel"
    },
    "audio": {
-        "label": "Helisündmused"
+        "label": "Heli tuvastus",
+        "min_volume": {
+            "label": "Minimaalne helitase"
+        },
+        "filters": {
+            "label": "Audio filtrid"
+        }
    },
    "birdseye": {
        "mode": {
            "label": "Jälgimisrežiim"
+        },
+        "order": {
+            "label": "Positsioon"
        }
    },
    "label": "Kaameraseadistus",
@@ -25,7 +34,8 @@
            "threshold": {
                "description": "Minimaalne sarnasuse punktiskoor (0-1), mis on vajalik selle päästiku käivitamiseks."
            }
-        }
+        },
+        "label": "Semantiline otsing"
    },
    "lpr": {
        "label": "Sõidukite numbrimärkide tuvastus",
@@ -34,6 +44,171 @@
    "review": {
        "genai": {
            "description": "Kontrollib generatiivse tehisaru kasutamist kirjelduste ja kokkuvõtete koostamiseks ülevaatamisele kuuluvate objektide jaoks."
+        },
+        "alerts": {
+            "enabled": {
+                "label": "Luba häired"
+            }
        }
+    },
+    "audio_transcription": {
+        "label": "Audio transkriptsioon",
+        "live_enabled": {
+            "label": "Reaalajas transkriptsioon"
+        },
+        "enabled": {
+            "label": "Luba heli üleskirjutamine tekstina"
+        }
+    },
+    "detect": {
+        "label": "Objekti tuvastus",
+        "enabled": {
+            "label": "Luba objektituvastus"
+        },
+        "height": {
+            "label": "Tuvastamise kõrgus"
+        },
+        "width": {
+            "label": "Tuvastamise laius"
+        },
+        "fps": {
+            "label": "Tuvastamise kaadrisagedus"
+        },
+        "stationary": {
+            "label": "Püsivate objektide sätted"
+        }
+    },
+    "face_recognition": {
+        "label": "Näotuvastus"
+    },
+    "ffmpeg": {
+        "path": {
+            "label": "FFmpeg asukoht"
+        },
+        "gpu": {
+            "label": "GPU indeks"
+        },
+        "inputs": {
+            "global_args": {
+                "label": "FFmpeg globaalsed argumendid"
+            }
+        }
+    },
+    "live": {
+        "label": "Reaalajas mahamängimine",
+        "height": {
+            "label": "Otseülekande kõrgus"
+        },
+        "quality": {
+            "label": "Otseülekande kvaliteet"
+        },
+        "streams": {
+            "label": "Otseülekande voo nimed"
+        }
+    },
+    "motion": {
+        "label": "Liikumistuvastus",
+        "frame_height": {
+            "label": "Kaadri kõrgus"
+        },
+        "enabled": {
+            "label": "Luba liikumistuvastus"
+        }
+    },
+    "objects": {
+        "label": "Objektid",
+        "filters": {
+            "min_area": {
+                "label": "Minimaalne objekti ala"
+            },
+            "max_area": {
+                "label": "Maksimaalne objekti ala"
+            }
+        },
+        "genai": {
+            "label": "GenAI objekti konfiguratsioon",
+            "required_zones": {
+                "label": "Nõutud tsoonid"
+            },
+            "debug_save_thumbnails": {
+                "label": "Salvesta pisipildid"
+            },
+            "enabled": {
+                "label": "Luba GenAI"
+            },
+            "use_snapshot": {
+                "label": "Kasuta hetktõmmiseid"
+            }
+        }
+    },
+    "mqtt": {
+        "label": "MQTT"
+    },
+    "notifications": {
+        "enabled": {
+            "label": "Luba teavitused"
+        },
+        "email": {
+            "label": "Teavituste email"
+        },
+        "label": "Teavitused"
+    },
+    "ui": {
+        "label": "Kaamera kasutajaliides"
+    },
+    "record": {
+        "label": "Salvestus",
+        "enabled": {
+            "label": "Luba salvestamine"
+        }
+    },
+    "snapshots": {
+        "enabled": {
+            "label": "Luba hetktõmmised"
+        }
+    },
+    "timestamp_style": {
+        "color": {
+            "red": {
+                "label": "Punane",
+                "description": "Punase komponent (0–255) ajatempli värvi jaoks."
+            },
+            "green": {
+                "label": "Roheline",
+                "description": "Rohelise komponent (0–255) ajatempli värvi jaoks."
+            },
+            "blue": {
+                "label": "Sinine",
+                "description": "Sinise komponent (0–255) ajatempli värvi jaoks."
+            },
+            "label": "Ajatempli värv",
+            "description": "Ajatempli teksti RGB värviväärtused (kõik väärtused 0–255)."
+        },
+        "thickness": {
+            "label": "Ajatempli paksus",
+            "description": "Ajatempli teksti joone paksus."
+        },
+        "effect": {
+            "label": "Ajatempli efekt",
+            "description": "Ajatempli teksti visuaalne efekt (puudub, ühtlane, vari)."
+        }
+    },
+    "onvif": {
+        "user": {
+            "label": "ONVIF kasutajanimi"
+        },
+        "password": {
+            "label": "ONVIF parool"
+        },
+        "port": {
+            "label": "ONVIF port"
+        },
+        "label": "ONVIF",
+        "host": {
+            "label": "ONVIF host"
+        }
+    },
+    "profiles": {
+        "label": "Profiilid"
    }
 }
@@ -1,10 +1,31 @@
 {
    "audio": {
-        "label": "Helisündmused"
+        "label": "Heli tuvastus",
+        "min_volume": {
+            "label": "Minimaalne helitase"
+        },
+        "filters": {
+            "label": "Audio filtrid"
+        }
    },
    "birdseye": {
        "mode": {
            "label": "Jälgimisrežiim"
+        },
+        "order": {
+            "label": "Positsioon"
+        },
+        "height": {
+            "label": "Kõrgus"
+        },
+        "width": {
+            "label": "Laius"
+        },
+        "layout": {
+            "label": "Paigutus",
+            "scaling_factor": {
+                "label": "Skaleerimistegur"
+            }
        }
    },
    "version": {
@@ -22,6 +43,15 @@
            "threshold": {
                "label": "Punktiskoori lävend",
                "description": "Punktiskoori lävend, mida kasutatakse klassifitseerimise oleku muutmiseks."
+            },
+            "enabled": {
+                "label": "Luba mudel"
+            },
+            "name": {
+                "label": "Mudeli nimi"
+            },
+            "save_attempts": {
+                "label": "Salvestamiskatsed"
            }
        }
    },
@@ -30,11 +60,25 @@
            "threshold": {
                "description": "Minimaalne sarnasuse punktiskoor (0-1), mis on vajalik selle päästiku käivitamiseks."
            }
+        },
+        "label": "Semantiline otsing",
+        "model_size": {
+            "label": "Mudeli suurus"
+        },
+        "device": {
+            "label": "Seade"
        }
    },
    "face_recognition": {
        "unknown_score": {
            "label": "Tundmatu punktiskoori lävend"
+        },
+        "label": "Näotuvastus",
+        "model_size": {
+            "label": "Mudeli suurus"
+        },
+        "device": {
+            "label": "Seade"
        }
    },
    "lpr": {
@@ -42,15 +86,393 @@
        "description": "Sõidukite numbrimärkide tuvastuse seadistus sisaldab tuvastuse lävendeid, vormindust ja teadaolevaid numbrimärke.",
        "enabled": {
            "description": "Lülita sõidukite numbrimärkide tuvastus kõikide kaamerate jaoks sisse; seda saad kaamerakohaselt ka sürjutada."
+        },
+        "model_size": {
+            "label": "Mudeli suurus"
+        },
+        "device": {
+            "label": "Seade"
        }
    },
    "genai": {
        "label": "Generatiivse tehisaru seadistus",
-        "description": "Seadistsued generatiivse tehisaru teenusepakkujate kasutamisel kirjelduste ja kokkuvõtete loomiseks ülevaatamisele kuuluvate objektide jaoks."
+        "description": "Seadistsued generatiivse tehisaru teenusepakkujate kasutamisel kirjelduste ja kokkuvõtete loomiseks ülevaatamisele kuuluvate objektide jaoks.",
+        "model": {
+            "label": "Mudel"
+        },
+        "roles": {
+            "label": "Rollid"
+        },
+        "api_key": {
+            "label": "API võti"
+        },
+        "base_url": {
+            "label": "Baas-URL"
+        }
    },
    "review": {
        "genai": {
            "description": "Kontrollib generatiivse tehisaru kasutamist kirjelduste ja kokkuvõtete koostamiseks ülevaatamisele kuuluvate objektide jaoks."
+        },
+        "alerts": {
+            "enabled": {
+                "label": "Luba häired",
+                "description": "Luba või keela kõigi kaamerate häirete genereerimine; seda saab kaamerati eraldi muuta."
+            }
        }
+    },
+    "audio_transcription": {
+        "label": "Audio transkriptsioon",
+        "live_enabled": {
+            "label": "Reaalajas transkriptsioon"
+        },
+        "enabled": {
+            "label": "Luba heli üleskirjutamine tekstina",
+            "description": "Luba või keela automaatne heli üleskirjutamine tektina kõigi kaamerate jaoks; seda saad kaamerati eraldi muuta."
+        },
+        "language": {
+            "label": "Üleskirjutuse keel",
+            "description": "Üleskirjutuse/tõlkimise jaoks kasutatav keelekood (näiteks „en” inglise keele puhul). Toetatud keelekoodid leiad lehelt https://whisper-api.com/docs/languages/."
+        },
+        "device": {
+            "label": "Üleskirjutusseade"
+        },
+        "model_size": {
+            "label": "Mudeli suurus"
+        }
+    },
+    "detect": {
+        "label": "Objekti tuvastus",
+        "enabled": {
+            "label": "Luba objektituvastus"
+        },
+        "height": {
+            "label": "Tuvastamise kõrgus"
+        },
+        "width": {
+            "label": "Tuvastamise laius"
+        },
+        "fps": {
+            "label": "Tuvastamise kaadrisagedus"
+        },
+        "stationary": {
+            "label": "Püsivate objektide sätted"
+        }
+    },
+    "ffmpeg": {
+        "path": {
+            "label": "FFmpeg asukoht"
+        },
+        "gpu": {
+            "label": "GPU indeks"
+        },
+        "inputs": {
+            "global_args": {
+                "label": "FFmpeg globaalsed argumendid"
+            }
+        },
+        "label": "FFmpeg"
+    },
+    "live": {
+        "label": "Reaalajas mahamängimine",
+        "height": {
+            "label": "Otseülekande kõrgus"
+        },
+        "quality": {
+            "label": "Otseülekande kvaliteet"
+        },
+        "streams": {
+            "label": "Otseülekande voo nimed"
+        }
+    },
+    "motion": {
+        "label": "Liikumistuvastus",
+        "frame_height": {
+            "label": "Kaadri kõrgus"
+        },
+        "enabled": {
+            "label": "Luba liikumistuvastus"
+        }
+    },
+    "objects": {
+        "label": "Objektid",
+        "filters": {
+            "min_area": {
+                "label": "Minimaalne objekti ala"
+            },
+            "max_area": {
+                "label": "Maksimaalne objekti ala"
+            }
+        },
+        "genai": {
+            "label": "GenAI objekti konfiguratsioon",
+            "required_zones": {
+                "label": "Nõutud tsoonid"
+            },
+            "debug_save_thumbnails": {
+                "label": "Salvesta pisipildid"
+            },
+            "enabled": {
+                "label": "Luba GenAI"
+            },
+            "use_snapshot": {
+                "label": "Kasuta hetktõmmiseid"
+            }
+        }
+    },
+    "auth": {
+        "reset_admin_password": {
+            "label": "Lähtesta administraatori parool"
+        },
+        "cookie_name": {
+            "label": "JWT küpsise nimi"
+        },
+        "enabled": {
+            "label": "Luba autentimine"
+        },
+        "label": "Autentimine",
+        "session_length": {
+            "label": "Sessiooni pikkus"
+        }
+    },
+    "database": {
+        "label": "Andmebaas"
+    },
+    "mqtt": {
+        "label": "MQTT",
+        "enabled": {
+            "label": "Luba MQTT"
+        },
+        "user": {
+            "label": "MQTT kasutajanimi"
+        },
+        "tls_ca_certs": {
+            "label": "TLS CA sertifikaat"
+        },
+        "tls_client_cert": {
+            "label": "Kliendi sertifikaat"
+        },
+        "host": {
+            "label": "MQTT host",
+            "description": "MQTT maakleri hostinimi või IP-aadress."
+        },
+        "port": {
+            "label": "MQTT port"
+        },
+        "client_id": {
+            "label": "Kliendi ID"
+        },
+        "stats_interval": {
+            "label": "Statistika intervall"
+        },
+        "tls_client_key": {
+            "label": "Kliendi võti"
+        },
+        "qos": {
+            "label": "MQTT QoS"
+        }
+    },
+    "go2rtc": {
+        "label": "go2rtc"
+    },
+    "notifications": {
+        "enabled": {
+            "label": "Luba teavitused"
+        },
+        "email": {
+            "label": "Teavituste email"
+        },
+        "label": "Teavitused"
+    },
+    "networking": {
+        "ipv6": {
+            "label": "IPv6 sätted",
+            "enabled": {
+                "label": "Luba IPv6"
+            }
+        },
+        "label": "Võrguühendus",
+        "listen": {
+            "internal": {
+                "label": "Sisemine port"
+            },
+            "external": {
+                "label": "Välimine port"
+            }
+        }
+    },
+    "proxy": {
+        "label": "Vaheserver",
+        "logout_url": {
+            "label": "Väljalogimise url"
+        },
+        "default_role": {
+            "label": "Vaikimisi roll"
+        }
+    },
+    "telemetry": {
+        "stats": {
+            "label": "Süsteemi statistika",
+            "amd_gpu_stats": {
+                "label": "AMD GPU statistika"
+            },
+            "intel_gpu_stats": {
+                "label": "Intel GPU statistika"
+            },
+            "intel_gpu_device": {
+                "label": "Intel GPU seade"
+            },
+            "network_bandwidth": {
+                "label": "Võrgu ribalaius"
+            }
+        },
+        "label": "Telemeetria",
+        "network_interfaces": {
+            "label": "Võrguliides"
+        },
+        "version_check": {
+            "label": "Versiooni kontroll",
+            "description": "Luba väljaminev ühendus, et kontrollida uuema Frigate versooni olemasolu."
+        }
+    },
+    "tls": {
+        "label": "TLS",
+        "enabled": {
+            "label": "Luba TLS"
+        }
+    },
+    "ui": {
+        "timezone": {
+            "label": "ajavöönd"
+        },
+        "label": "Kasutajaliides",
+        "description": "Kasutajaliidese eelistused nagu ajavöönd, aja ja kuupäeva formaat ning ühikud.",
+        "unit_system": {
+            "label": "Ühikute süsteem"
+        }
+    },
+    "detectors": {
+        "label": "Detektori riistvara",
+        "cpu": {
+            "label": "CPU"
+        },
+        "deepstack": {
+            "label": "DeepStack"
+        },
+        "edgetpu": {
+            "label": "EdgeTPU"
+        },
+        "onnx": {
+            "label": "ONNX",
+            "device": {
+                "label": "Seadme tüüp"
+            }
+        },
+        "rknn": {
+            "label": "RKNN"
+        },
+        "openvino": {
+            "label": "OpenVINO"
+        },
+        "tensorrt": {
+            "label": "TensorRT"
+        },
+        "teflon_tfl": {
+            "label": "Teflon"
+        },
+        "synaptics": {
+            "label": "Synaptics"
+        },
+        "memryx": {
+            "device": {
+                "label": "Seadme asukoht"
+            },
+            "label": "MemryX"
+        },
+        "hailo8l": {
+            "label": "Hailo-8/Hailo-8L"
+        },
+        "zmq": {
+            "label": "ZMQ IPC"
+        },
+        "axengine": {
+            "label": "AXEngine NPU"
+        },
+        "degirum": {
+            "label": "DeGirum"
+        }
+    },
+    "logger": {
+        "label": "Logimine"
+    },
+    "model": {
+        "label": "Tuvastusmudel"
+    },
+    "record": {
+        "label": "Salvestus",
+        "enabled": {
+            "label": "Luba salvestamine",
+            "description": "Luba või keela salvestamine kõigi kaamerate jaoks; seda saab kaamerati eraldi muuta."
+        }
+    },
+    "snapshots": {
+        "enabled": {
+            "label": "Luba hetktõmmised",
+            "description": "Luba või keela kõigi kaamerate hetktõmmiste salvestamine; seda saab kaamerati eraldi muuta."
+        }
+    },
+    "timestamp_style": {
+        "color": {
+            "red": {
+                "label": "Punane",
+                "description": "Punase komponent (0–255) ajatempli värvi jaoks."
+            },
+            "green": {
+                "label": "Roheline",
+                "description": "Rohelise komponent (0–255) ajatempli värvi jaoks."
+            },
+            "blue": {
+                "label": "Sinine",
+                "description": "Sinise komponent (0–255) ajatempli värvi jaoks."
+            },
+            "label": "Ajatempli värv",
+            "description": "Ajatempli teksti RGB värviväärtused (kõik väärtused 0–255)."
+        },
+        "thickness": {
+            "label": "Ajatempli paksus",
+            "description": "Ajatempli teksti joone paksus."
+        },
+        "effect": {
+            "label": "Ajatempli efekt",
+            "description": "Ajatempli teksti visuaalne efekt (puudub, ühtlane, vari)."
+        }
+    },
+    "onvif": {
+        "user": {
+            "label": "ONVIF kasutajanimi"
+        },
+        "password": {
+            "label": "ONVIF parool"
+        },
+        "port": {
+            "label": "ONVIF port"
+        },
+        "label": "ONVIF",
+        "host": {
+            "label": "ONVIF host"
+        }
+    },
+    "camera_mqtt": {
+        "quality": {
+            "label": "JPEG kvaliteet",
+            "description": "MQTT-sse saadetud piltide JPEG-kvaliteet (0–100)."
+        },
+        "enabled": {
+            "label": "Saada pilt"
+        },
+        "label": "MQTT"
+    },
+    "profiles": {
+        "label": "Profiilid"
    }
 }
@@ -6,5 +6,67 @@
    "error": "Midagi läks valesti. Palun proovi uuesti.",
    "processing": "Töötlen…",
    "toolsUsed": "Kasutatud: {{tools}}",
-    "similarity_score": "Sarnasus"
+    "similarity_score": "Sarnasus",
+    "showTools": "Näita tööriistu ({{count}})",
+    "hideTools": "Peida tööriistad",
+    "call": "Kutse",
+    "result": "Tulemus",
+    "arguments": "Argumendid:",
+    "response": "Vastus:",
+    "send": "Saada",
+    "new_chat": "Uus vestlus",
+    "settings": {
+        "title": "Vestluse sätted",
+        "show_stats": {
+            "title": "Näita statistikat",
+            "always": "Alati",
+            "desc": "Kuva vastuste genereerimise kiirus ja konteksti suurus.",
+            "while_generating": "Genereerimise ajal"
+        },
+        "auto_scroll": {
+            "title": "Automaatne kerimine",
+            "desc": "Jälgi uusi sõnumeid kohe, kui need saabuvad."
+        }
+    },
+    "stats": {
+        "context": "{{tokens}} tokenit",
+        "tokens_per_second": "{{rate}} t/s"
+    },
+    "starting_requests_prompts": {
+        "recap": "Mis juhtus kui ma olin ära?",
+        "watch_camera": "Jälgi ust ja anna mulle teada kui keegi tuleb",
+        "show_camera_status": "Milline on minu kaamerate praegune seis?",
+        "show_recent_events": "Näita mulle viimase tunni viimaseid sündmusi"
+    },
+    "starting_requests": {
+        "show_camera_status": "Näita kaamera olekut",
+        "show_recent_events": "Kuva hiljutised sündmused",
+        "recap": "Mis juhtus kui ma olin ära?",
+        "watch_camera": "Jälgi kaamerat aktiivsuse osas"
+    },
+    "suggested_requests": "Proovi küsida:",
+    "semantic_search_required": "Sarnaste objektide leidmiseks peab olema lubatud semantiline otsing.",
+    "no_similar_objects_found": "Sarnaseid objekte ei leitud.",
+    "quick_reply_when_else": "Millal seda veel nähti?",
+    "quick_reply_find_similar_text": "Leia sarnaseid vaatepilte.",
+    "quick_reply_tell_me_more_text": "Räägi mulle sellest lähemalt.",
+    "quick_reply_when_else_text": "Millal seda veel nähtud on?",
+    "attach_event_aria": "Lisa sündmus {{eventId}}",
+    "attachment_picker_paste_label": "Või kleebi sündmuse ID",
+    "attachment_picker_attach": "Lisa",
+    "attachment_picker_placeholder": "Lisa sündmus",
+    "quick_reply_find_similar": "Leia sarnaseid vaatlusi",
+    "quick_reply_tell_me_more": "Räägi mulle sellest lähemalt",
+    "attachment_chip_remove": "Eemalda manus",
+    "attachment_chip_label": "{{label}} kaameras {{camera}}",
+    "open_in_explore": "Ava uurimisvaates",
+    "anchor": "Viide",
+    "reasoning": {
+        "active": "Otsin põhjendust…",
+        "show": "Näita põhjendust",
+        "hide": "Peida põhjendus"
+    },
+    "thinking": {
+        "toggle": "Näita mõtlemise olekut või peida see"
+    }
 }
@@ -43,5 +43,8 @@
  },
  "tooltip": {
    "trainingInProgress": "Mudel on parasjagu õppimas"
+  },
+  "train": {
+    "titleShort": "Hiljutised"
  }
 }
@@ -5,7 +5,8 @@
  "noTrackedObjects": "Ühtegi jälgitavat objekti ei leidunud",
  "itemMenu": {
    "findSimilar": {
-      "aria": "Otsi sarnaseid jälgitavaid objekte"
+      "aria": "Otsi sarnaseid jälgitavaid objekte",
+      "label": "Leia sarnane"
    },
    "downloadSnapshot": {
      "label": "Laadi hetkvõte alla",
@@ -14,6 +15,14 @@
    "downloadCleanSnapshot": {
      "label": "Laadi puhas hetkvõte alla",
      "aria": "Laadi puhas hetkvõte alla"
+    },
+    "viewTrackingDetails": {
+      "label": "Vaata jälgimise üksikasju",
+      "aria": "Näita jälgimise üksikasju"
+    },
+    "downloadVideo": {
+      "label": "Laadi video alla",
+      "aria": "Laadi video alla"
    }
  },
  "trackingDetails": {
@@ -21,11 +30,22 @@
      "showAllZones": {
        "title": "Näita kõiki tsoone",
        "desc": "Kui objekt on sisenenud tsooni, siis alati näida tsooni märgistust."
+      },
+      "title": "Annotatsioonide seaded",
+      "offset": {
+        "desc": "Need andmed pärinevad teie kaamera tuvastusvoost, kuid on salvestusvoo piltide peal. On ebatõenäoline, et need kaks voogu on ideaalselt sünkroonis. Seetõttu ei joondu piirav kast ja kaader ideaalselt. Selle säte abil saad annotatsioone ajas edasi või tagasi nihutada, et need salvestatud kaadriga paremini joonduks.",
+        "millisecondsToOffset": "Millisekundid annotatsioonide tuvastuse nihutamiseks. <em>Vaikimisi: 0</em>",
+        "tips": "Vähendage väärtust, kui video taasesitus on kastidest ja teekonnapunktidest ees, ning suurendage väärtust, kui video taasesitus on neist maas. See väärtus võib olla negatiivne.",
+        "toast": {
+          "success": "Kaamera '{{camera}}' annotatsiooni nihe on konfiguratsioonifaili salvestatud."
+        },
+        "label": "Annotatsiooni nihe"
      }
    },
    "lifecycleItemDesc": {
      "attribute": {
-        "other": "{{label}} on tuvastatud kui {{attribute}}"
+        "other": "{{label}} on tuvastatud kui {{attribute}}",
+        "faceOrLicense_plate": "{{attribute}} tuvastatud objektil {{label}}"
      },
      "stationary": "{{label}} jäi paigale",
      "active": "{{label}} muutus aktiivseks",
@@ -37,7 +57,8 @@
        "area": "Ala",
        "score": "Punktiskoor",
        "computedScore": "Arvutatud punktiskoor",
-        "topScore": "Suuremad punktiskoorid"
+        "topScore": "Suuremad punktiskoorid",
+        "toggleAdvancedScores": "Täpsemate tulemuste sisse-/väljalülitamine"
      },
      "external": "{{label}} on tuvastatud",
      "heard": "{{label}} on kuuldud",
@@ -50,7 +71,11 @@
      "previous": "Eelmine slaid",
      "next": "Järgmine slaid"
    },
-    "count": "{{first}} / {{second}}"
+    "count": "{{first}} / {{second}}",
+    "adjustAnnotationSettings": "Korrigeeri annotatsioonide seadeid",
+    "scrollViewTips": "Klõpsake selle objekti elutsükli oluliste hetkede vaatamiseks.",
+    "autoTrackingTips": "Piirdekastide asukohad on automaatselt jälgivate kaamerate puhul ebatäpsed.",
+    "trackedPoint": "Jälgitav punkt"
  },
  "documentTitle": "Avasta - Frigate",
  "generativeAI": "Generatiivne tehisaru",
@@ -64,7 +89,22 @@
      },
      "startingUp": "Käivitun…",
      "estimatedTime": "Hinnanguliselt jäänud aega:",
-      "finishingShortly": "Lõpetan õige pea"
+      "finishingShortly": "Lõpetan õige pea",
+      "context": "Avastamist saab kasutada pärast seda, kui jälgitavate objektide manustamine on uuesti indekseerimise lõpetanud."
+    },
+    "title": "Avastamine pole saadaval",
+    "downloadingModels": {
+      "context": "Frigate laadib alla semantilise otsingu funktsiooni toetamiseks vajalikke manustamismudeleid. See võib võtta mitu minutit, olenevalt teie võrguühenduse kiirusest.",
+      "setup": {
+        "visionModel": "Nägemismudel",
+        "visionModelFeatureExtractor": "Nägemismudeli tunnuste eraldaja",
+        "textModel": "Tekstimudel",
+        "textTokenizer": "Teksti tokenisaator"
+      },
+      "tips": {
+        "context": "Pärast mudelite allalaadimist tuleks oma jälgitavate objektide manused uuesti indekseerida."
+      },
+      "error": "Tekkis viga. Kontrollige Frigate'i logisid."
    }
  },
  "type": {
@@ -107,8 +147,52 @@
    },
    "recognizedLicensePlate": "Tuvastatud sõiduki numbrimärk",
    "description": {
-      "aiTips": "Frigate ei küsi sinu generatiivse tehisaru teenusepakkujalt kirjeldust enne, kui jälgitava objekti elutsükkel on lõppenud."
+      "aiTips": "Frigate ei küsi sinu generatiivse tehisaru teenusepakkujalt kirjeldust enne, kui jälgitava objekti elutsükkel on lõppenud.",
+      "label": "Kirjeldus",
+      "placeholder": "Jälgitava objekti kirjeldus"
+    },
+    "label": "Silt",
+    "editSubLabel": {
+      "title": "Muuda alamsilti",
+      "desc": "Sisesta sildile '{{label}}' uus alamsilt",
+      "descNoLabel": "Sisesta sellele jälgitavale objektile uus alamsilt"
+    },
+    "camera": "Kaamera",
+    "zones": "Tsoonid",
+    "title": {
+      "label": "Pealkiri"
+    },
+    "button": {
+      "findSimilar": "Leia sarnane",
+      "regenerate": {
+        "title": "Taasloomine",
+        "label": "Jälgitava objekti kirjelduse uuesti genereerimine"
+      }
+    },
+    "topScore": {
+      "label": "Parim punktiskoor",
+      "info": "Kõrgeim skoor on jälgitava objekti kõrgeim mediaanskoor, seega võib see erineda otsingutulemuste pisipildil kuvatavast skoorist."
+    },
+    "objects": "Objektid",
+    "tips": {
+      "descriptionSaved": "Kirjeldus salvestati edukalt",
+      "saveDescriptionFailed": "Kirjelduse uuendamine ebaõnnestus: {{errorMessage}}"
+    },
+    "attributes": "Klassifikatsiooni atribuudid",
+    "estimatedSpeed": "Hinnanguline kiirus",
+    "editAttributes": {
+      "title": "Atribuutide muutmine",
+      "desc": "Valige selle sildi '{{label}}' jaoks klassifikatsiooniatribuudid"
    }
  },
-  "trackedObjectDetails": "Jälgitava objekti üksikasjad"
+  "trackedObjectDetails": "Jälgitava objekti üksikasjad",
+  "aiAnalysis": {
+    "title": "Tehisintellekti analüüs"
+  },
+  "concerns": {
+    "label": "Mured"
+  },
+  "objectLifecycle": {
+    "noImageFound": "Selle jälgitava objekti kohta ei leitud pilti."
+  }
 }
@@ -16,12 +16,15 @@
    "downloadVideo": "Laadi video alla",
    "editName": "Muuda nime",
    "deleteExport": "Kustuta eksporditud sisu",
-    "assignToCase": "Lisa juhtumile"
+    "assignToCase": "Lisa juhtumile",
+    "removeFromCase": "Eemalda juhtumist"
  },
  "toast": {
    "error": {
      "renameExportFailed": "Eksporditud sisu nime muutmine ei õnnestunud: {{errorMessage}}",
-      "assignCaseFailed": "Juhtumiga seose uuendamine ei õnnestunud: {{errorMessage}}"
+      "assignCaseFailed": "Juhtumiga seose uuendamine ei õnnestunud: {{errorMessage}}",
+      "caseSaveFailed": "Juhtumi salvestamine ei õnnestunud: {{errorMessage}}",
+      "caseDeleteFailed": "Juhtumi kustutamine ei õnnestunud: {{errorMessage}}"
    }
  },
  "headings": {
@@ -35,5 +38,44 @@
    "nameLabel": "Juhtumi nimi",
    "descriptionLabel": "Kirjeldus",
    "description": "Vali olemasolev juhtum või lisa uus."
+  },
+  "toolbar": {
+    "newCase": "Uus juhtum",
+    "addExport": "Lisa eksportimiseks",
+    "editCase": "Muuda juhtumit",
+    "deleteCase": "Kustuta juhtum"
+  },
+  "deleteCase": {
+    "label": "Kustuta juhtum",
+    "desc": "Kas oled kindel, et soovid „{{caseName}}“ juhtumi kustutada?"
+  },
+  "caseCard": {
+    "emptyCase": "Eksportimise veel pole"
+  },
+  "jobCard": {
+    "defaultName": "Eksportimine kaamerast „{{camera}}“",
+    "queued": "Lisatud järjekorda",
+    "running": "Töös",
+    "preparing": "Ettevalmistamisel",
+    "copying": "Kopeerimisel",
+    "encoding": "Kodeerimisel",
+    "encodingRetry": "Kodeerimisel (uuesti)",
+    "finalizing": "Lõpetamisel"
+  },
+  "caseView": {
+    "noDescription": "Kirjeldust pole",
+    "createdAt": "Loodud {{value}}",
+    "exportCount_one": "1 eksportimine",
+    "exportCount_other": "{{count}} eksportimist",
+    "cameraCount_one": "1 kaamera",
+    "cameraCount_other": "{{count}} kaamerat",
+    "showMore": "Näita rohkem",
+    "showLess": "Näita vähem",
+    "emptyTitle": "See juhtum on tühi"
+  },
+  "caseEditor": {
+    "namePlaceholder": "Juhtumi nimi",
+    "editTitle": "Muuda juhtumit",
+    "createTitle": "Lisa juhtum"
  }
 }
@@ -1,6 +1,11 @@
 {
  "button": {
-    "uploadImage": "Laadi pilt üles"
+    "uploadImage": "Laadi pilt üles",
+    "deleteFaceAttempts": "Kustuta näod",
+    "addFace": "Lisa nägu",
+    "renameFace": "Nimeta nägu ümber",
+    "deleteFace": "Kustuta nägu",
+    "reprocessFace": "Käivita näotuvastus uuesti"
  },
  "collections": "Kogumikud",
  "description": {
@@ -11,28 +16,41 @@
  },
  "documentTitle": "Näoteek - Frigate",
  "createFaceLibrary": {
-    "new": "Lisa uus nägu"
+    "new": "Lisa uus nägu",
+    "nextSteps": "Tugeva tuvastusaluse loomiseks:<li>Kasuta vahekaarti \"Hiljutised tuvastused\", et valida pilte ja treenida isikutuvastust.</li><li>Parima tulemuse saavutamiseks keskendu otsepiltidele; väldi nurga all olevaid nägusid treenimiseks.</li></ul>"
  },
  "deleteFaceLibrary": {
-    "title": "Kustuta nimi"
+    "title": "Kustuta nimi",
+    "desc": "Kas oled kindel, et soovid isiku '{{name}}' kollektsiooni kustutada? See kustutab jäädavalt kõik seotud näod."
  },
  "toast": {
    "error": {
      "addFaceLibraryFailed": "Näo sidumine nimega ei õnnestunud: {{errorMessage}}",
-      "updateFaceScoreFailed": "Näo punktiskoori uuendamine ei õnnestunud: {{errorMessage}}"
+      "updateFaceScoreFailed": "Näo punktiskoori uuendamine ei õnnestunud: {{errorMessage}}",
+      "uploadingImageFailed": "Pildi üleslaadimine ebaõnnestus: {{errorMessage}}",
+      "deleteFaceFailed": "Kustutamine ebaõnnestus: {{errorMessage}}",
+      "deleteNameFailed": "Nime kustutamine ebaõnnestus: {{errorMessage}}",
+      "renameFaceFailed": "Näo ümbernimetamine ebaõnnestus: {{errorMessage}}",
+      "trainFailed": "Treenimine ebaõnnestus: {{errorMessage}}",
+      "reclassifyFailed": "Näo ümberklassifitseerimine ebaõnnestus: {{errorMessage}}"
    },
    "success": {
-      "addFaceLibrary": "Lisamine Näoteeki õnnestus: {{name}}!",
+      "addFaceLibrary": "Lisamine nägude kogusse õnnestus: {{name}}!",
      "deletedFace_one": "{{count}} näo kustutamine õnnestus.",
      "deletedFace_other": "{{count}} näo kustutamine õnnestus.",
      "deletedName_one": "{{count}} näo kustutamine õnnestus.",
      "deletedName_other": "{{count}} näo kustutamine õnnestus.",
-      "updatedFaceScore": "Näo punktiskoori uuendamine õnnestus: {{name}} ({{score}})."
+      "updatedFaceScore": "Näo punktiskoori uuendamine õnnestus: {{name}} ({{score}}).",
+      "uploadedImage": "Pildi üleslaadimine õnnestus.",
+      "renamedFace": "Näo ümbernimetamine õnnestus, uus nimi on {{name}}",
+      "trainedFace": "Edukalt treenitud nägu.",
+      "reclassifiedFace": "Näo ümberklassifitseerimine õnnestus."
    }
  },
  "deleteFaceAttempts": {
    "desc_one": "Kas oled kindel, et soovid kustutada {{count}} näo? Seda tegevust ei saa tagasi pöörata.",
-    "desc_other": "Kas oled kindel, et soovid kustutada {{count}} nägu? Seda tegevust ei saa tagasi pöörata."
+    "desc_other": "Kas oled kindel, et soovid kustutada {{count}} nägu? Seda tegevust ei saa tagasi pöörata.",
+    "title": "Kustuta näod"
  },
  "details": {
    "timestamp": "Ajatampel",
@@ -42,5 +60,40 @@
  "uploadFaceImage": {
    "title": "Laadi näopilt üles",
    "desc": "Laadi üles pilt, et otsida sellelt nägusid ja lisada see {{pageToggle}}'i jaoks"
-  }
+  },
+  "steps": {
+    "faceName": "Lisa näole nimi",
+    "uploadFace": "Lae näopilt üles",
+    "nextSteps": "Järgmised sammud",
+    "description": {
+      "uploadFace": "Laadi üles pilt isikust '{{name}}', mis näitab tema nägu eestvaates. Ainult nägu ei pea pildilt välja lõikama."
+    }
+  },
+  "train": {
+    "title": "Hiljutised tuvastamised",
+    "titleShort": "Hiljutised",
+    "aria": "Vali hiljutised tuvastamised",
+    "empty": "Hiljutisi näotuvastuse katseid pole",
+    "emptyNoLibrary": {
+      "title": "Laadi üles nägu",
+      "description": "Näotuvastuse toimimiseks peate lisama vähemalt ühe näo kogusse."
+    }
+  },
+  "renameFace": {
+    "title": "Nimeta nägu ümber",
+    "desc": "Sisesta uus nimi isiku '{{name}}' jaoks"
+  },
+  "imageEntry": {
+    "validation": {
+      "selectImage": "Palun vali pildifail."
+    },
+    "dropActive": "Lohista pilt siia…",
+    "dropInstructions": "Lohistage või kleepige pilt siia või klõpsake valimiseks",
+    "maxSize": "Maksimum suurus: {{size}}MB"
+  },
+  "nofaces": "Nägusid pole saadaval",
+  "trainFaceAs": "Treeni nägu kui:",
+  "trainFace": "Treeni nägu",
+  "reclassifyFaceAs": "Liigita nägu ümber järgmiselt:",
+  "reclassifyFace": "Näo ümberklassifitseerimine"
 }
@@ -1,4 +1,78 @@
 {
    "documentTitle": "Liikumise tuvastus - Frigate",
-    "title": "Liikumise otsing"
+    "title": "Liikumise otsing",
+    "cancelSearch": "Tühista",
+    "startSearch": "Alusta otsingut",
+    "selectCamera": "Liikumisotsingut laaditakse",
+    "description": "Joonesta hulknurk, et määratleda huvipakkuv piirkond, ja määra ajavahemik, mille jooksul otsida liikumise muutusi selles piirkonnas.",
+    "searchStarted": "Otsing alustatud",
+    "searchCancelled": "Otsing tühistatud",
+    "searching": "Otsing on pooleli.",
+    "searchComplete": "Otsing lõpetatud",
+    "noResultsYet": "Käivita otsing valitud piirkonnas liikumise muutuste leidmiseks",
+    "noChangesFound": "Valitud piirkonnas ei tuvastatud pikslimuutusi",
+    "results": "Tulemused",
+    "polygonControls": {
+        "drawMode": "Joonista",
+        "moveMode": "Liiguta",
+        "reset": "Lähtesta hulknurk",
+        "undo": "Tühista viimane punkt",
+        "points_one": "{{count}} punkt",
+        "points_other": "{{count}} punkti"
+    },
+    "newSearch": "Uus otsing",
+    "clearResults": "Tühista tulemused",
+    "clearROI": "Tühista hulknurk",
+    "dialog": {
+        "cameraLabel": "Kaamera",
+        "title": "Liikumisotsing",
+        "previewAlt": "Kaamera '{{camera}}' eelvaade"
+    },
+    "timeRange": {
+        "title": "Otsinguvahemik",
+        "start": "Algusaeg",
+        "end": "Lõppaeg"
+    },
+    "settings": {
+        "title": "Otsinguseaded",
+        "parallelMode": "Paralleelrežiim",
+        "parallelModeDesc": "Skanni mitut salvestusvahemikku korraga (kiirem; kasutab rohkem dekodeerimisressursse)",
+        "threshold": "Tundlikkuse lävi",
+        "thresholdDesc": "Väiksemad väärtused tuvastavad väiksemaid muutusi (1–255)",
+        "minArea": "Minimaalne muutusala",
+        "minAreaDesc": "Ühe liikuva piirkonna minimaalne suurus protsentides huvipakkuvast piirkonnast",
+        "maxResults": "Maksimaalselt tulemusi",
+        "maxResultsDesc": "Peata pärast nii paljude ajatemplite sobivust"
+    },
+    "errors": {
+        "noCamera": "Palun vali kaamera",
+        "noROI": "Palun joonistage huvipakkuv piirkond",
+        "noTimeRange": "Palun valige ajavahemik",
+        "invalidTimeRange": "Lõppaeg peab olema pärast algusaega",
+        "searchFailed": "Otsing ebaõnnestus: {{message}}",
+        "polygonTooSmall": "Hulknurgal peab olema vähemalt 3 punkti",
+        "unknown": "Tundmatu viga"
+    },
+    "changePercentage": "{{percentage}}% muutus",
+    "metrics": {
+        "title": "Otsingumõõdikud",
+        "segmentsScanned": "Skannitud segmente",
+        "segmentsProcessed": "Töödeldud",
+        "segmentsSkippedInactive": "Vahele jäetud (tegevust pole)",
+        "segmentsSkippedHeatmap": "Vahele jäetud (kattuvaid piirkondi pole)",
+        "fallbackFullRange": "Varurežiimis täisulatusega skaneerimine",
+        "framesDecoded": "Kaadreid dekodeeritud",
+        "wallTime": "Otsingu aeg",
+        "seconds": "{{seconds}}s",
+        "minutesSeconds": "{{minutes}}m {{seconds}}s",
+        "segmentErrors": "Segmendi vead",
+        "scanSummary": "{{segments}} segmenti · {{time}}"
+    },
+    "jumpToTime": "Hüppa sellele ajale",
+    "framesProcessed": "{{count}} kaadrit töödeldud",
+    "changesFound_one": "Tuvastatud {{count}} liikumine",
+    "changesFound_other": "Tuvastatud {{count}} liikumist",
+    "motionHeatmapLabel": "Liikumise soojakaart",
+    "showSegmentHeatmap": "Soojakaart",
+    "scanning": "Skannimine {{time}}"
 }
@@ -12,7 +12,48 @@
        "selectFromTimeline": "Vali",
        "starting": "Käivitan kordust…",
        "startLabel": "Algus",
-        "endLabel": "Lõpp"
+        "endLabel": "Lõpp",
+        "title": "Alusta silumise taasesitust",
+        "description": "Looge ajutine taasesituskaamera, mis kordab ajaloolist salvestist objektide tuvastamise ja jälgimise probleemide silumiseks. Taasesituskaameral on sama tuvastusseadistus mis lähtekaameral. Valige algusaeg.",
+        "toast": {
+            "error": "Silumise taasesitus ebaõnnestus: {{error}}",
+            "alreadyActive": "Kordusseanss on juba aktiivne",
+            "stopError": "Silumise taasesituse peatamine ebaõnnestus: {{error}}",
+            "goToReplay": "Mine kordusesse"
+        }
    },
-    "title": "Kordus veaotsinguks"
+    "title": "Kordus veaotsinguks",
+    "websocket_messages": "Sõnumid",
+    "description": "Mängi kaamera salvestisi veaotsinguks. Objektide loend näitab tuvastatud objektide ajalist viivitust ja vahekaart „Sõnumid” näitab Fregati sisemiste sõnumite voogu taasesituse materjalist.",
+    "page": {
+        "noSession": "Aktiivset silumis- ja taasesitusseanssi pole",
+        "noSessionDesc": "Alusta silumissalvestise taasesitust ajaloo vaates, klõpsates tööriistaribal nupul \"Toimingud\" ja valides silumissalvestise taasesituse.",
+        "goToRecordings": "Mine ajaloo vaatesse",
+        "preparingClip": "Klipi ettevalmistamine…",
+        "preparingClipDesc": "Frigate koondab valitud ajavahemiku salvestisi. Pikemate vahemike puhul võib see võtta kauem.",
+        "startingCamera": "Silumise taasesituse käivitamine…",
+        "startError": {
+            "title": "Silumise taasesituse käivitamine ebaõnnestus",
+            "back": "Tagasi ajaloo vaatesse"
+        },
+        "sourceCamera": "Lähtekaamera",
+        "replayCamera": "Taasesituse kaamera",
+        "initializingReplay": "Silumise taasesituse initsialiseerimine...",
+        "stoppingReplay": "Silumise taasesituse peatamine...",
+        "stopReplay": "Peata kordusesitus",
+        "confirmStop": {
+            "title": "Peata silumise kordusesitus?",
+            "description": "See peatab seansi ja kustutab kõik ajutised andmed. Kas oled kindel?",
+            "confirm": "Peata kordusesitus",
+            "cancel": "Tühista"
+        },
+        "activity": "Toimingud",
+        "objects": "Objekti loend",
+        "audioDetections": "Audio tuvastused",
+        "noActivity": "Ühtegi tegevust ei tuvastatud",
+        "activeTracking": "Aktiivne jälgimine",
+        "noActiveTracking": "Aktiivset jälgimist pole",
+        "configuration": "Seaded",
+        "configurationDesc": "Peenhäälesta liikumistuvastuse ja objektide jälgimise sätteid silumis- ja taasesituskaamera jaoks. Frigate'i konfiguratsiooni faili muudatusi ei salvestata."
+    }
 }
@@ -7,7 +7,28 @@
      "connectionSettings": "Ühenduse seadistused",
      "port": "Port",
      "username": "Kasutajanimi",
-      "usernamePlaceholder": "Valikuline"
+      "usernamePlaceholder": "Valikuline",
+      "cameraName": "Kaamera nimi",
+      "cameraNamePlaceholder": "näiteks: eesmine_uks või Hoovi ülevaade",
+      "host": "Host/IP-aadress",
+      "cameraBrand": "Kaamera bränd",
+      "selectBrand": "Vali URL malli jaoks kaamera bränd",
+      "customUrl": "Kohandatud voo URL",
+      "brandInformation": "Brändi teave",
+      "brandUrlFormat": "Kaamerate puhul, mille RTSP URL-i vorming on järgmine: {{exampleUrl}}",
+      "selectTransport": "Valige transpordiprotokoll",
+      "description": "Sisestage oma kaamera andmed ja valige, kas soovite kaamerat tuvastada või valida tootja käsitsi.",
+      "onvifPort": "ONVIF port",
+      "probeMode": "Tuvasta kaamera",
+      "manualMode": "Manuaalne valik",
+      "errors": {
+        "nameRequired": "Kaamera nimi on kohustuslik",
+        "nameLength": "Kaamera nimi peab olema kuni 64 tähemärki pikk",
+        "invalidCharacters": "Kaamera nimi sisaldab sobimatuid märke",
+        "nameExists": "Kaamera nimi on juba olemas",
+        "brandOrCustomUrlRequired": "Valige kas kaamera bränd koos hosti/IP-aadressiga või valige „Muu” kohandatud URL-iga"
+      },
+      "detectionMethod": "Vootuvastus meetod"
    },
    "step3": {
      "streamUrlPlaceholder": "rtsp://kasutajanimi:salasõna@host:port/asukoht",
@@ -17,17 +38,37 @@
      "roles": "Rollid",
      "roleLabels": {
        "record": "Salvestamine",
-        "audio": "Heliriba"
+        "audio": "Heliriba",
+        "detect": "Objektituvastus"
      },
      "connected": "Ühendatud",
-      "featuresTitle": "Funktsionaalsused"
+      "featuresTitle": "Funktsionaalsused",
+      "selectStream": "Vali voog",
+      "selectQuality": "Valige kvaliteet",
+      "notConnected": "Pole ühendatud",
+      "testFailedTitle": "Test ebaõnnestus",
+      "testStream": "Testi ühendust",
+      "testSuccess": "Voo test edukas!",
+      "testFailed": "Voo test ebaõnnestus",
+      "selectResolution": "Vali resolutsioon",
+      "noStreamFound": "Voogu ei leitud",
+      "addAnotherStream": "Lisa järgmine voog",
+      "streamTitle": "Voog {{number}}",
+      "streamUrl": "Voo URL",
+      "addStream": "Lisa voog",
+      "description": "Seadista voogedastusrolle ja lisa oma kaamerale täiendavaid vooge.",
+      "streamsTitle": "Kaamera vood"
    },
    "steps": {
-      "probeOrSnapshot": "Võta proov või tee hetkvõte"
+      "probeOrSnapshot": "Võta proov või tee hetkvõte",
+      "nameAndConnection": "Nimi ja ühendus",
+      "streamConfiguration": "Voo seaded",
+      "validationAndTesting": "Valideerimine ja testimine"
    },
    "step2": {
      "testing": {
-        "fetchingSnapshot": "Laadin kaamera hetkvõtet alla..."
+        "fetchingSnapshot": "Laadin kaamera hetkvõtet alla...",
+        "probingMetadata": "Tuvastan kaamera metaandmeid..."
      },
      "retry": "Proovi uuesti",
      "manufacturer": "Tootja",
@@ -37,7 +78,30 @@
      "presets": "Eelseadistused",
      "useCandidate": "Kasuta",
      "uriCopy": "Kopeeri",
-      "connected": "Ühendatud"
+      "connected": "Ühendatud",
+      "testSuccess": "Ühenduse test õnnestus!",
+      "testFailed": "Ühenduse test ebaõnnestus. Palun kontrollige sisestatud andmeid ja proovige uuesti.",
+      "testFailedTitle": "Test ebaõnnestus",
+      "streamDetails": "Voo üksikasjad",
+      "probing": "Tuvastan kaamerat...",
+      "ptzSupport": "PTZ tugi",
+      "testConnection": "Testi ühendust",
+      "toggleUriView": "Klõpsake täieliku URI vaate sisse/välja lülitamiseks",
+      "notConnected": "Pole ühendatud",
+      "errors": {
+        "hostRequired": "Hosti/IP-aadress on kohustuslik"
+      },
+      "candidateStreamTitle": "Kandidaat {{number}}",
+      "probeSuccessful": "Tuvastamine õnnestus",
+      "probeError": "Tuvastamise viga",
+      "probeNoSuccess": "Tuvastamine ebaõnnestus",
+      "deviceInfo": "Seadme info",
+      "autotrackingSupport": "Automaatse jälgimise tugi",
+      "uriCopied": "URI kopeeriti lõikelauale",
+      "rtspCandidates": "RTSP kandidaadid",
+      "probingDevice": "Tuvastan seadet...",
+      "description": "Tuvasta kaamera vooge või seadista käsitsi seaded vastavalt valitud tuvastusmeetodile.",
+      "probeFailed": "Kaamera tuvastamine ebaõnnestus: {{error}}"
    },
    "testResultLabels": {
      "resolution": "Resolutsioon",
@@ -56,7 +120,17 @@
      "roles": "Rollid",
      "none": "Määramata",
      "error": "Viga"
-    }
+    },
+    "commonErrors": {
+      "noUrl": "Palun sisestage kehtiv voogesituse URL",
+      "testFailed": "Voo test ebaõnnestus: {{error}}"
+    },
+    "save": {
+      "success": "Uue kaamera '{{cameraName}}' salvestamine õnnestus.",
+      "failure": "Viga kaamera '{{cameraName}}' salvestamisel."
+    },
+    "title": "Lisa kaamera",
+    "description": "Uue kaamera lisamiseks oma Frigate paigaldisesse järgige alltoodud samme."
  },
  "users": {
    "updatePassword": "Lähtesta salasõna",
@@ -172,24 +246,32 @@
  },
  "documentTitle": {
    "default": "Seadistused - Frigate",
-    "authentication": "Autentimise seadistused - Frigate",
-    "cameraReview": "Kaamerate kordusvaatuste seadistused - Frigate",
-    "general": "Profiili seadistused - Frigate",
-    "frigatePlus": "Frigate+ seadistused - Frigate",
-    "notifications": "Teavituste seadistused - Frigate",
+    "authentication": "Autentimise seaded - Frigate",
+    "cameraReview": "Kaamerate kordusvaatuste seaded - Frigate",
+    "general": "Profiili seaded - Frigate",
+    "frigatePlus": "Frigate+ seaded - Frigate",
+    "notifications": "Teavituste seaded - Frigate",
    "cameraManagement": "Kaamerate haldus - Frigate",
    "masksAndZones": "Maskide ja tsoonide haldus - Frigate",
-    "object": "Silumine ja veaotsing - Frigate"
+    "object": "Silumine ja veaotsing - Frigate",
+    "enrichments": "Rikastamise seaded - Frigate",
+    "motionTuner": "Liikumise häälestaja – Frigate",
+    "globalConfig": "Globaalsed seaded – Frigate",
+    "cameraConfig": "Kaamera seaded - Frigate",
+    "detectorsAndModel": "Detektorid ja mudel – Frigate",
+    "maintenance": "Hooldus – Frigate",
+    "profiles": "Profiilid - Frigate"
  },
  "general": {
-    "title": "Profiili seadistused",
+    "title": "Kasutajaliidese seadistused",
    "cameraGroupStreaming": {
      "clearAll": "Kustuta kõik voogedastuse seadistused"
    },
    "liveDashboard": {
      "title": "Töölaud reaalajas",
      "automaticLiveView": {
-        "label": "Automaatne otseülekande vaade"
+        "label": "Automaatne otseülekande vaade",
+        "desc": "Aktiveerib automaatselt kaamera reaalajas vaate, kui tuvastatakse tegevus. Selle valiku keelamisel uuendatakse kaamerapilti töölaual ainult üks kord minutis."
      }
    },
    "calendar": {
@@ -335,7 +417,7 @@
  },
  "menu": {
    "ui": "Kasutajaliides",
-    "cameraManagement": "Haldus",
+    "cameraManagement": "Kaamera haldus",
    "masksAndZones": "Maskid ja tsoonid",
    "triggers": "Päästikud",
    "debug": "Silumine ja veaotsing",
@@ -373,7 +455,37 @@
    "systemMqtt": "MQTT",
    "systemGo2rtcStreams": "go2rtc voogedastus",
    "integrationSemanticSearch": "Semantiline otsing",
-    "integrationGenerativeAi": "Generatiivne tehisaru"
+    "integrationGenerativeAi": "Generatiivne tehisaru",
+    "general": "Üldine",
+    "globalConfig": "Globaalsed seaded",
+    "system": "Süsteem",
+    "integrations": "Integratsioonid",
+    "cameras": "Kaamera seaded",
+    "integrationFaceRecognition": "Nöotuvastus",
+    "cameraDetect": "Objektituvastus",
+    "cameraFfmpeg": "Vood (FFmpeg)",
+    "cameraRecording": "Salvestus",
+    "cameraSnapshots": "Hetktõmmised",
+    "cameraMotion": "Liikumistuvastus",
+    "cameraObjects": "Objektid",
+    "cameraConfigReview": "Ülevaade",
+    "cameraAudioEvents": "audiotuvastus",
+    "cameraAudioTranscription": "Audio transkriptsioon",
+    "cameraNotifications": "Teated",
+    "cameraLivePlayback": "Otseülekanne",
+    "integrationAudioTranscription": "Audio transkriptsioon",
+    "integrationObjectClassification": "Objektide klassifitseerimine",
+    "cameraFaceRecognition": "Näotuvastus",
+    "cameraMqttConfig": "MQTT",
+    "cameraOnvif": "ONVIF",
+    "cameraUi": "Kaamera kasutajaliides",
+    "cameraTimestampStyle": "Ajatempli stiil",
+    "cameraMqtt": "Kaamera MQTT",
+    "maintenance": "Hooldus",
+    "mediaSync": "Meedia sünkroonimine",
+    "regionGrid": "Regioonide ruudustik",
+    "enrichments": "Andmete rikastamine",
+    "motionTuner": "Liikumistuvastuse seadistaja"
  },
  "dialog": {
    "unsavedChanges": {
@@ -389,7 +501,11 @@
    "semanticSearch": {
      "reindexNow": {
        "confirmButton": "Indekseeri uuesti",
-        "label": "Indekseeri uuesti kohe"
+        "label": "Indekseeri kohe uuesti",
+        "alreadyInProgress": "Ümberindekseerimine on juba käimas.",
+        "error": "Uuesti indekseerimise alustamine ebaõnnestus: {{errorMessage}}",
+        "success": "Ümberindekseerimine algas edukalt.",
+        "confirmTitle": "Kinnita uuesti indekseerimine"
      },
      "modelSize": {
        "small": {
@@ -397,7 +513,9 @@
        },
        "large": {
          "title": "suur"
-        }
+        },
+        "label": "Mudeli suurus",
+        "desc": "Semantilise otsingu manustamiseks kasutatava mudeli suurus."
      },
      "title": "Semantiline otsing"
    },
@@ -408,14 +526,23 @@
        },
        "large": {
          "title": "suur"
-        }
-      }
+        },
+        "label": "Mudeli suurus",
+        "desc": "Näotuvastuseks kasutatava mudeli suurus."
+      },
+      "title": "Näotuvastus"
    },
    "birdClassification": {
      "title": "Lindude klassifikatsioon"
    },
    "licensePlateRecognition": {
      "title": "Sõidukite numbrimärkide tuvastus"
+    },
+    "title": "Andmerikastuse seaded",
+    "restart_required": "Taaskäivitamine on vajalik (Andmerikastuse seadeid on muudetud)",
+    "toast": {
+      "success": "Andmerikastamise seaded on salvestatud. Muudatuste rakendamiseks taaskäivitage Frigate.",
+      "error": "Seadete muudatuste salvestamine ebaõnnestus: {{errorMessage}}"
    }
  },
  "cameraReview": {
@@ -497,5 +624,31 @@
    "lpr": {
      "vehicleNotTracked": "Sõidukite numbrimärkide tuvastus eeldab, et auto või mootorratas on jälgitav. Lülita menüüst Objektid sell kaamera jaoks sisse valikud „auto“ või „mootorratas“."
    }
+  },
+  "button": {
+    "overriddenGlobal": "Ülekirjutatud (Globaalne)",
+    "overriddenGlobalTooltip": "Käesolev kaamera kirjutab selles jaotises üle globaalsed seaded",
+    "overriddenGlobalHeading_one": "See kaamera sürjutab {{count}} üldise seadistuse välja:",
+    "overriddenGlobalHeading_other": "See kaamera sürjutab {{count}} üldise seadistuse välja:"
+  },
+  "saveAllPreview": {
+    "title": "Salvestatavad muudatused",
+    "triggerLabel": "Vaadake üle ootel olevad muudatused",
+    "empty": "Ootel muudatusi pole.",
+    "scope": {
+      "label": "Ulatus",
+      "global": "Globaalne",
+      "camera": "Kaamera: {{cameraName}}"
+    },
+    "profile": {
+      "label": "Profiil"
+    },
+    "field": {
+      "label": "Väli"
+    },
+    "value": {
+      "label": "Uus väärtus",
+      "reset": "Lähtesta"
+    }
  }
 }
@@ -2,7 +2,14 @@
  "documentTitle": {
    "general": "Üldine statistika - Frigate",
    "cameras": "Kaamerate statistika - Frigate",
-    "storage": "Andmeruumi statistika - Frigate"
+    "storage": "Andmeruumi statistika - Frigate",
+    "logs": {
+      "frigate": "Frigate logid - Frigate",
+      "go2rtc": "Go2RTC logid - Frigate",
+      "nginx": "Nginx logid - Frigate",
+      "websocket": "Sõnumite logid - Frigate"
+    },
+    "enrichments": "Rikastus statistika - Frigate"
  },
  "logs": {
    "download": {
@@ -16,11 +23,29 @@
    "websocket": {
      "filter": {
        "cameras_count_one": "{{count}} kaamera",
-        "cameras_count_other": "{{count}} kaamerat"
+        "cameras_count_other": "{{count}} kaamerat",
+        "camera": "Kaamera",
+        "all_cameras": "Kõik kaamerad",
+        "events": "Sündmused",
+        "reviews": "Ülevaated",
+        "system": "Süsteem",
+        "topics": "Teemad",
+        "all": "Kõik teemad",
+        "face_recognition": "Näotuvastus",
+        "classification": "Klassifikatsioon",
+        "camera_activity": "Kaamera aktiivsus",
+        "lpr": "Numbrimärgituvastus"
      },
      "empty": "Ühtegi sõnumit pole veel hõivatud",
      "count_one": "{{count}} sõnum",
-      "count_other": "{{count}} sõnumit"
+      "count_other": "{{count}} sõnumit",
+      "pause": "Peata",
+      "resume": "Jätka",
+      "label": "Sõnumid",
+      "clear": "Tühista",
+      "expanded": {
+        "payload": "Last"
+      }
    },
    "type": {
      "label": "Tüüp",
@@ -36,5 +61,170 @@
      }
    }
  },
-  "title": "Süsteem"
+  "title": "Süsteem",
+  "enrichments": {
+    "embeddings": {
+      "object_description_events_per_second": "Objekti kirjeldus",
+      "face_recognition": "Näotuvastus",
+      "plate_recognition": "Numbrimärgi tuvastus",
+      "object_description": "Objekti kirjeldus",
+      "review_description_events_per_second": "Ülevaate kirjeldus",
+      "review_description": "Ülevaate kirjeldus",
+      "yolov9_plate_detection": "YOLOv9 numbrimärgi tuvastus",
+      "yolov9_plate_detection_speed": "YOLOv9 numbrimärgi tuvastuskiirus",
+      "plate_recognition_speed": "Numbrimärgituvastuse kiirus",
+      "face_recognition_speed": "Näotuvastuse kiirus"
+    },
+    "title": "Andmerikastused"
+  },
+  "cameras": {
+    "connectionQuality": {
+      "reconnectsLastHour": "Uuesti ühendumisi (viimase tunni jooksul)",
+      "stallsLastHour": "Seiskumisi (viimase tunni jooksul)",
+      "title": "Ühenduse kvaliteet",
+      "excellent": "Suurepärane",
+      "fair": "Rahuldav",
+      "poor": "Kehv",
+      "unusable": "Mittekasutatav",
+      "fps": "Kaadrisagedus",
+      "expectedFps": "Eeldatav kaadrisagedus (FPS)"
+    },
+    "label": {
+      "camera": "kaamera",
+      "detect": "tuvasta",
+      "skipped": "vahele jäetud",
+      "ffmpeg": "FFmpeg",
+      "cameraFfmpeg": "{{camName}} FFmpeg",
+      "cameraGpu": "{{camName}} GPU",
+      "cameraDetect": "{{camName}} tuvastus",
+      "overallFramesPerSecond": "kaadreid sekundis kokku",
+      "overallDetectionsPerSecond": "kogutuvastusi sekundis",
+      "overallSkippedDetectionsPerSecond": "vahelejäänud tuvastusi sekundis kokku",
+      "cameraFramesPerSecond": "{{camName}} kaadreid sekundis",
+      "cameraDetectionsPerSecond": "{{camName}} tuvastusi sekundis",
+      "cameraSkippedDetectionsPerSecond": "{{camName}} vahelejäänud tuvastusi sekundis",
+      "capture": "jäädvustamine"
+    },
+    "noCameras": {
+      "title": "Ühtegi kaamerat ei leitud"
+    },
+    "framesAndDetections": "Kaadreid / Tuvastusi",
+    "info": {
+      "keyframes": {
+        "recordDisabled": "Selle kaamera salvestamine on välja lülitatud.",
+        "segmentLength": "Salvestuse segmendi pikkus:",
+        "recordStream": "Salvestusvoog:",
+        "keyframeCount": "Vaadeldud võtmekaadrid:",
+        "observedDuration": "Vaadeldud kestus:"
+      },
+      "audio": "Audio:",
+      "error": "Viga: {{error}}",
+      "codec": "Koodek:",
+      "resolution": "Resolutsioon:",
+      "video": "Video:",
+      "aspectRatio": "kuvasuhe",
+      "unknown": "Tundmatu",
+      "fetching": "Kaameraandmete toomine",
+      "stream": "Voog {{idx}}",
+      "streamDataFromFFPROBE": "Vooandmed saadakse <code>ffprobe</code> abil.",
+      "fps": "Kaadrisagedus (FPS):"
+    },
+    "title": "Kaamerad",
+    "overview": "Ülevaade"
+  },
+  "lastRefreshed": "Viimati uuendatud: ",
+  "stats": {
+    "healthy": "Süsteem on töökorras",
+    "detectIsSlow": "{{detect}} on aeglane ({{speed}} ms)",
+    "detectIsVerySlow": "{{detect}} on väga aeglane ({{speed}} ms)",
+    "cameraIsOffline": "{{camera}} on ühenduseta"
+  },
+  "storage": {
+    "cameraStorage": {
+      "camera": "Kaamera",
+      "unused": {
+        "title": "Kasutamata",
+        "tips": "See väärtus ei pruugi Frigate'i jaoks saadaolevat vaba ruumi täpselt kajastada, kui teie draivil on lisaks Frigate'i salvestistele ka muid faile. Frigate ei jälgi salvestusruumi kasutamist väljaspool oma salvestisi."
+      },
+      "bandwidth": "Ribalaius",
+      "storageUsed": "Salvestusmaht",
+      "percentageOfTotalUsed": "protsent kogusummast",
+      "unusedStorageInformation": "Kasutamata salvestusmahu info",
+      "title": "Kaamera salvestusmaht"
+    },
+    "title": "Säilitus",
+    "overview": "Ülevaade",
+    "recordings": {
+      "title": "Salvestused",
+      "earliestRecording": "Varaseim saadaolev salvestis:"
+    },
+    "shm": {
+      "title": "SHM (jagatud mälu) eraldus",
+      "frameLifetime": {
+        "title": "Kaadri eluiga"
+      }
+    }
+  },
+  "metrics": "Süsteemi mõõdikud",
+  "general": {
+    "title": "Üldine",
+    "hardwareInfo": {
+      "gpuUsage": "GPU kasutus",
+      "gpuMemory": "GPU mälu",
+      "gpuInfo": {
+        "vainfoOutput": {
+          "title": "Vainfo väljund",
+          "processOutput": "Protsessi väljund:",
+          "processError": "Protsessi viga:",
+          "returnCode": "Tagastuskood: {{code}}"
+        },
+        "closeInfo": {
+          "label": "Sulge GPU info"
+        },
+        "copyInfo": {
+          "label": "Kopeeri GPU info"
+        },
+        "nvidiaSMIOutput": {
+          "title": "Nvidia SMI väljund",
+          "name": "Nimi: {{name}}",
+          "driver": "Draiver: {{driver}}",
+          "cudaComputerCapability": "CUDA arvutusvõimekus: {{cuda_compute}}",
+          "vbios": "VBios info: {{vbios}}"
+        },
+        "toast": {
+          "success": "GPU info kopeeriti lõikelauale"
+        }
+      },
+      "gpuDecoder": "GPU dekooder",
+      "gpuTemperature": "GPU temperatuur",
+      "gpuEncoder": "GPU kodeerija",
+      "gpuCompute": "GPU arvutus / kodeerimine",
+      "title": "Riistvara info",
+      "npuUsage": "NPU kasutus",
+      "npuMemory": "NPU mälu",
+      "npuTemperature": "NPU temperatuur",
+      "intelGpuWarning": {
+        "title": "Inteli GPU statistika hoiatus",
+        "message": "GPU statistika pole saadaval"
+      }
+    },
+    "otherProcesses": {
+      "series": {
+        "go2rtc": "go2rtc",
+        "recording": "salvestus",
+        "review_segment": "Segmendi ülevaade",
+        "audio_detector": "audio detektor"
+      },
+      "processCpuUsage": "Protsessi CPU kasutus",
+      "processMemoryUsage": "Protsessi mälukasutus"
+    },
+    "detector": {
+      "title": "Detektorid",
+      "memoryUsage": "Detektori mälukasutus",
+      "cpuUsage": "Detektori CPU kasutus",
+      "temperature": "Detektori temperatuur",
+      "inferenceSpeed": "Detektori järelduskiirus",
+      "cpuUsageInformation": "Protsessori võimsus, mida kasutatakse tuvastusmudelite sisend- ja väljundandmete ettevalmistamisel. See väärtus ei mõõda järelduste kasutamist isegi siis, kui kasutatakse graafikaprotsessorit või kiirendit."
+    }
+  }
 }
@@ -67,7 +67,8 @@
      "error": {
        "failed": "Échec du démarrage de l'exportation : {{error}}",
        "endTimeMustAfterStartTime": "L'heure de fin doit être postérieure à l'heure de début.",
-        "noVaildTimeSelected": "La plage horaire sélectionnée n'est pas valide."
+        "noVaildTimeSelected": "La plage horaire sélectionnée n'est pas valide.",
+        "noValidTimeSelected": "Interval de temps invalide"
      },
      "success": "Exportation démarrée avec succès. Consultez le fichier sur la page des exportations.",
      "view": "Vue",
@@ -88,7 +89,9 @@
    "export": "Exporter",
    "fromTimeline": {
      "saveExport": "Enregistrer l'exportation",
-      "previewExport": "Aperçu de l'exportation"
+      "previewExport": "Aperçu de l'exportation",
+      "queueingExport": "Traitement de l'export...",
+      "useThisRange": "Utiliser cet interval"
    },
    "case": {
      "label": "Dossier",
@@ -195,6 +198,10 @@
      "markAsReviewed": "Marquer comme traité",
      "deleteNow": "Supprimer maintenant",
      "markAsUnreviewed": "Marquer comme non traité"
+    },
+    "shareTimestamp": {
+      "label": "Partager cette date",
+      "title": "Partager cette date"
    }
  },
  "imagePicker": {
@@ -24,6 +24,9 @@
        },
        "state": {
          "submitted": "Terkirim"
+        },
+        "toast": {
+          "error": "Gagal submit ke Frigate+. Harap periksa koneksi jaringan Anda dan coba lagi."
        }
      }
    },
@@ -57,7 +60,8 @@
      "view": "Melihat",
      "batchSuccess_other": "{{count}} Ekspor dimulai. Membuka kasusnya sekarang.",
      "batchPartial": "Ekspor berhasil dimulai sebanyak {{successful}} dari total {{total}} ekspor. Kamera yang gagal: {{failedCameras}}",
-      "batchFailed": "Gagal memulai ekspor sebanyak {{total}}. Kamera yang gagal: {{failedCameras}}"
+      "batchFailed": "Gagal memulai ekspor sebanyak {{total}}. Kamera yang gagal: {{failedCameras}}",
+      "batchQueuedPartial": "Antrian ekspor berhasil sebanyak {{successful}} dari total {{total}} ekspor. Kamera yang gagal: {{failedCameras}}"
    },
    "case": {
      "newCaseOption": "Membuat Kasus Baru",
@@ -87,7 +91,9 @@
      "selectGroup": "Pilih grup",
      "noMatchingCameras": "Tidak ada kamera yang sesuai dengan pencarian Anda",
      "selectedCount": "{{terpilih}} / {{total}} terpilih",
-      "namePlaceholder": "Nama dasar opsional untuk ekspor ini"
+      "namePlaceholder": "Nama dasar opsional untuk ekspor ini",
+      "searchOrSelectGroup": "Cari, atau pilih grup kamera...",
+      "selectAll": "Pilih semua kamera"
    },
    "multi": {
      "title_other": "Ekspor {{count}} Ulasan",
@@ -68,8 +68,8 @@
  "choir": "Koris",
  "yodeling": "Jodelēšana",
  "mantra": "Mantra",
-  "rapping": "Repot",
-  "whistling": "Svilpot",
+  "rapping": "Repošana",
+  "whistling": "Svilpošana",
  "sniff": "Ošņāt",
  "hands": "Rokas",
  "animal": "Dzīvnieks",
@@ -122,5 +122,17 @@
  "fireworks": "Uguņošana",
  "glass": "Stikls",
  "white_noise": "Baltais troksnis",
-  "radio": "Radio"
+  "radio": "Radio",
+  "chant": "Piedziedājums",
+  "synthetic_singing": "Sintētiskā dziedāšana",
+  "groan": "Vaidēšana",
+  "grunt": "Rukšķēšana",
+  "breathing": "Elpošana",
+  "wheeze": "Gārgšana",
+  "snoring": "Krākšana",
+  "gasp": "Elsošana",
+  "pant": "Elšana",
+  "snort": "Šņaukt",
+  "cough": "Klepus",
+  "throat_clearing": "Kakla tīrīšana"
 }
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Weblate (bot)andGitHub	1aee1529c3	Merge `28a9f81eb7` into `c406a93d3d`	2026-07-16 03:13:44 -07:00
Hosted WeblateandOverTheHillsAndFarAway	28a9f81eb7	Translated using Weblate (Norwegian Bokmål) Currently translated at 100.0% (109 of 109 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: OverTheHillsAndFarAway <prosjektx@users.noreply.hosted.weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/nb_NO/ Translation: Frigate NVR/components-dialog	2026-07-15 04:05:16 +00:00
Hosted WeblateandGuoQing Liu	0d4fd73b9f	Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (808 of 808 strings) Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (474 of 474 strings) Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (141 of 141 strings) Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (239 of 239 strings) Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (1294 of 1294 strings) Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (109 of 109 strings) Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (808 of 808 strings) Translated using Weblate (Chinese (Simplified Han script)) Currently translated at 100.0% (474 of 474 strings) Co-authored-by: GuoQing Liu <842607283@qq.com> Co-authored-by: Hosted Weblate <hosted@weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/zh_Hans/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/zh_Hans/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-cameras/zh_Hans/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-global/zh_Hans/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-classificationmodel/zh_Hans/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/zh_Hans/ Translation: Frigate NVR/Config - Cameras Translation: Frigate NVR/Config - Global Translation: Frigate NVR/common Translation: Frigate NVR/components-dialog Translation: Frigate NVR/views-classificationmodel Translation: Frigate NVR/views-settings	2026-07-15 04:05:15 +00:00
Hosted Weblateand莊凱鈞	f1fa6f71d5	Translated using Weblate (Chinese (Traditional Han script)) Currently translated at 100.0% (808 of 808 strings) Translated using Weblate (Chinese (Traditional Han script)) Currently translated at 100.0% (474 of 474 strings) Translated using Weblate (Chinese (Traditional Han script)) Currently translated at 100.0% (1294 of 1294 strings) Translated using Weblate (Chinese (Traditional Han script)) Currently translated at 100.0% (109 of 109 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: 莊凱鈞 <kcchuang88@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/zh_Hant/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-cameras/zh_Hant/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-global/zh_Hant/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/zh_Hant/ Translation: Frigate NVR/Config - Cameras Translation: Frigate NVR/Config - Global Translation: Frigate NVR/components-dialog Translation: Frigate NVR/views-settings	2026-07-15 04:05:14 +00:00
Hosted WeblateandHosted Weblate user 157871	e44a83b43c	Translated using Weblate (Slovak) Currently translated at 93.0% (120 of 129 strings) Translated using Weblate (Slovak) Currently translated at 93.0% (120 of 129 strings) Translated using Weblate (Slovak) Currently translated at 72.3% (136 of 188 strings) Translated using Weblate (Slovak) Currently translated at 49.0% (631 of 1287 strings) Translated using Weblate (Slovak) Currently translated at 60.9% (39 of 64 strings) Translated using Weblate (Slovak) Currently translated at 90.0% (54 of 60 strings) Translated using Weblate (Slovak) Currently translated at 61.4% (67 of 109 strings) Translated using Weblate (Slovak) Currently translated at 97.9% (234 of 239 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Hosted Weblate user 157871 <gop60@users.noreply.hosted.weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/sk/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/sk/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-classificationmodel/sk/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-events/sk/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-facelibrary/sk/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/sk/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-system/sk/ Translation: Frigate NVR/common Translation: Frigate NVR/components-dialog Translation: Frigate NVR/views-classificationmodel Translation: Frigate NVR/views-events Translation: Frigate NVR/views-facelibrary Translation: Frigate NVR/views-settings Translation: Frigate NVR/views-system	2026-07-15 04:05:14 +00:00
Hosted WeblateandDalibor Radovanović	8f358639d3	Translated using Weblate (Serbian) Currently translated at 96.7% (1245 of 1287 strings) Translated using Weblate (Serbian) Currently translated at 17.5% (42 of 239 strings) Co-authored-by: Dalibor Radovanović <darkobg@gmail.com> Co-authored-by: Hosted Weblate <hosted@weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/common/sr/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/sr/ Translation: Frigate NVR/common Translation: Frigate NVR/views-settings	2026-07-15 04:05:13 +00:00
Hosted WeblateandFelix Boström	e34347cc76	Translated using Weblate (Swedish) Currently translated at 2.2% (18 of 808 strings) Translated using Weblate (Swedish) Currently translated at 5.4% (26 of 474 strings) Translated using Weblate (Swedish) Currently translated at 100.0% (109 of 109 strings) Co-authored-by: Felix Boström <felix.bostrum@gmail.com> Co-authored-by: Hosted Weblate <hosted@weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/sv/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-cameras/sv/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-global/sv/ Translation: Frigate NVR/Config - Cameras Translation: Frigate NVR/Config - Global Translation: Frigate NVR/components-dialog	2026-07-15 04:05:12 +00:00
Hosted WeblateandFabien LAMAISON	d7234d1240	Translated using Weblate (French) Currently translated at 91.7% (100 of 109 strings) Co-authored-by: Fabien LAMAISON <kerin@kerin444.net> Co-authored-by: Hosted Weblate <hosted@weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/fr/ Translation: Frigate NVR/components-dialog	2026-07-15 04:05:12 +00:00
Hosted WeblateandMark Holtkamp	0cf48c5f75	Translated using Weblate (Dutch) Currently translated at 92.6% (101 of 109 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Mark Holtkamp <markholtkamp85@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/nl/ Translation: Frigate NVR/components-dialog	2026-07-15 04:05:11 +00:00
Hosted WeblateandSurya Desktop	74ac911be2	Translated using Weblate (Indonesian) Currently translated at 67.8% (74 of 109 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Surya Desktop <desktopsurya@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/id/ Translation: Frigate NVR/components-dialog	2026-07-15 04:05:11 +00:00
Hosted WeblateandEduardo Pastor Fernández	5dfa62848a	Translated using Weblate (Catalan) Currently translated at 100.0% (141 of 141 strings) Translated using Weblate (Catalan) Currently translated at 100.0% (1294 of 1294 strings) Translated using Weblate (Catalan) Currently translated at 100.0% (1287 of 1287 strings) Translated using Weblate (Catalan) Currently translated at 100.0% (145 of 145 strings) Translated using Weblate (Catalan) Currently translated at 100.0% (109 of 109 strings) Translated using Weblate (Catalan) Currently translated at 100.0% (808 of 808 strings) Translated using Weblate (Catalan) Currently translated at 100.0% (474 of 474 strings) Co-authored-by: Eduardo Pastor Fernández <123eduardoneko123@gmail.com> Co-authored-by: Hosted Weblate <hosted@weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/ca/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-cameras/ca/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-global/ca/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-classificationmodel/ca/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-explore/ca/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/ca/ Translation: Frigate NVR/Config - Cameras Translation: Frigate NVR/Config - Global Translation: Frigate NVR/components-dialog Translation: Frigate NVR/views-classificationmodel Translation: Frigate NVR/views-explore Translation: Frigate NVR/views-settings	2026-07-15 04:05:10 +00:00
Hosted Weblateandlukasig	7bba2762af	Translated using Weblate (Romanian) Currently translated at 100.0% (808 of 808 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (474 of 474 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (141 of 141 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (1294 of 1294 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (145 of 145 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (501 of 501 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (109 of 109 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (808 of 808 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (474 of 474 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (1287 of 1287 strings) Translated using Weblate (Romanian) Currently translated at 100.0% (109 of 109 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: lukasig <lukasig@hotmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/audio/ro/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/ro/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-cameras/ro/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-global/ro/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-classificationmodel/ro/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-explore/ro/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/ro/ Translation: Frigate NVR/Config - Cameras Translation: Frigate NVR/Config - Global Translation: Frigate NVR/audio Translation: Frigate NVR/components-dialog Translation: Frigate NVR/views-classificationmodel Translation: Frigate NVR/views-explore Translation: Frigate NVR/views-settings	2026-07-15 04:05:09 +00:00
Hosted Weblate Priit Jõerüüt Rasmus Kuusmann	53c79a8110	Translated using Weblate (Estonian) Currently translated at 20.2% (164 of 808 strings) Translated using Weblate (Estonian) Currently translated at 15.1% (72 of 474 strings) Translated using Weblate (Estonian) Currently translated at 28.5% (367 of 1287 strings) Translated using Weblate (Estonian) Currently translated at 100.0% (109 of 109 strings) Translated using Weblate (Estonian) Currently translated at 100.0% (60 of 60 strings) Translated using Weblate (Estonian) Currently translated at 100.0% (45 of 45 strings) Translated using Weblate (Estonian) Currently translated at 100.0% (62 of 62 strings) Translated using Weblate (Estonian) Currently translated at 100.0% (54 of 54 strings) Translated using Weblate (Estonian) Currently translated at 100.0% (54 of 54 strings) Translated using Weblate (Estonian) Currently translated at 20.2% (164 of 808 strings) Translated using Weblate (Estonian) Currently translated at 20.2% (164 of 808 strings) Translated using Weblate (Estonian) Currently translated at 14.9% (71 of 474 strings) Translated using Weblate (Estonian) Currently translated at 14.9% (71 of 474 strings) Translated using Weblate (Estonian) Currently translated at 80.8% (152 of 188 strings) Translated using Weblate (Estonian) Currently translated at 28.4% (366 of 1287 strings) Translated using Weblate (Estonian) Currently translated at 28.4% (366 of 1287 strings) Translated using Weblate (Estonian) Currently translated at 98.3% (59 of 60 strings) Translated using Weblate (Estonian) Currently translated at 61.6% (53 of 86 strings) Translated using Weblate (Estonian) Currently translated at 75.8% (110 of 145 strings) Translated using Weblate (Estonian) Currently translated at 14.7% (19 of 129 strings) Translated using Weblate (Estonian) Currently translated at 11.3% (92 of 808 strings) Translated using Weblate (Estonian) Currently translated at 8.2% (39 of 474 strings) Translated using Weblate (Estonian) Currently translated at 47.8% (90 of 188 strings) Translated using Weblate (Estonian) Currently translated at 100.0% (109 of 109 strings) Translated using Weblate (Estonian) Currently translated at 67.6% (339 of 501 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Priit Jõerüüt <jrthwlate@users.noreply.hosted.weblate.org> Co-authored-by: Rasmus Kuusmann <rasmus.kuusmann@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/audio/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-cameras/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-global/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-chat/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-classificationmodel/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-explore/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-exports/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-facelibrary/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-motionsearch/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-replay/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/et/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-system/et/ Translation: Frigate NVR/Config - Cameras Translation: Frigate NVR/Config - Global Translation: Frigate NVR/audio Translation: Frigate NVR/components-dialog Translation: Frigate NVR/views-chat Translation: Frigate NVR/views-classificationmodel Translation: Frigate NVR/views-explore Translation: Frigate NVR/views-exports Translation: Frigate NVR/views-facelibrary Translation: Frigate NVR/views-motionSearch Translation: Frigate NVR/views-replay Translation: Frigate NVR/views-settings Translation: Frigate NVR/views-system	2026-07-15 04:05:08 +00:00
Hosted WeblateandRinaldo Pitzer Júnior	2bed3d195d	Translated using Weblate (Portuguese (Brazil)) Currently translated at 33.9% (274 of 808 strings) Translated using Weblate (Portuguese (Brazil)) Currently translated at 58.2% (276 of 474 strings) Translated using Weblate (Portuguese (Brazil)) Currently translated at 53.4% (69 of 129 strings) Translated using Weblate (Portuguese (Brazil)) Currently translated at 39.6% (510 of 1287 strings) Translated using Weblate (Portuguese (Brazil)) Currently translated at 100.0% (109 of 109 strings) Co-authored-by: Hosted Weblate <hosted@weblate.org> Co-authored-by: Rinaldo Pitzer Júnior <rinaldo90@gmail.com> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/components-dialog/pt_BR/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-cameras/pt_BR/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/config-global/pt_BR/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-classificationmodel/pt_BR/ Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/views-settings/pt_BR/ Translation: Frigate NVR/Config - Cameras Translation: Frigate NVR/Config - Global Translation: Frigate NVR/components-dialog Translation: Frigate NVR/views-classificationmodel Translation: Frigate NVR/views-settings	2026-07-15 04:05:07 +00:00
Hosted WeblateandAlex K	2c8d3a3194	Translated using Weblate (Latvian) Currently translated at 27.1% (136 of 501 strings) Co-authored-by: Alex K <kamonishe@gmail.com> Co-authored-by: Hosted Weblate <hosted@weblate.org> Translate-URL: https://hosted.weblate.org/projects/frigate-nvr/audio/lv/ Translation: Frigate NVR/audio	2026-07-15 04:05:07 +00:00