Support main+sub stream exports (#24193 )

* Support multi resolution exports * Fix decoder text * Add dropdown and ability to select export stream selection * Fix for review comments * Fix mypy * Cleanup wording
Improve System Health pane (#24188 )
2026-09-08 11:39:05 -04:00 · 2026-09-04 17:28:15 -05:00 · 2026-09-04 07:09:44 -06:00 · 2026-09-04 07:00:19 -06:00 · 2026-09-03 18:15:41 -05:00 · 2026-09-03 15:53:59 -06:00
432 changed files with 39685 additions and 6902 deletions
@@ -42,6 +42,383 @@ jobs:
          tags: ${{ steps.setup.outputs.image-name }}-amd64
          cache-from: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64
          cache-to: type=registry,ref=${{ steps.setup.outputs.cache-name }}-amd64,mode=max
+  smoke_test:
+    runs-on: ubuntu-22.04
+    name: AMD64 Smoke Test
+    needs:
+      - amd64_build
+    steps:
+      - name: Check out code
+        uses: actions/checkout@v6
+        with:
+          persist-credentials: false
+      - name: Set up QEMU and Buildx
+        id: setup
+        uses: ./.github/actions/setup
+        with:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+      - name: Start container
+        run: |
+          mkdir -p /tmp/frigate-config /tmp/frigate-media
+          printf 'mqtt:\n  enabled: false\ncameras: {}\n' > /tmp/frigate-config/config.yml
+          # simulate a root-era install: root-owned 0600 jwt secret pre-exists
+          docker run --rm -v /tmp/frigate-config:/config --entrypoint bash \
+            ${{ steps.setup.outputs.image-name }}-amd64 \
+            -c "python3 -c 'import secrets; open(\"/config/.jwt_secret\",\"w\").write(secrets.token_hex(64))' && chmod 600 /config/.jwt_secret && chown 0:0 /config/.jwt_secret"
+          docker run -d --name frigate --shm-size 256m \
+            -v /tmp/frigate-config:/config \
+            -v /tmp/frigate-media:/media/frigate \
+            --mount type=tmpfs,target=/tmp/cache,tmpfs-size=100000000 \
+            -p 5000:5000 -p 8971:8971 \
+            ${{ steps.setup.outputs.image-name }}-amd64
+      - name: Wait for API
+        run: |
+          for i in $(seq 1 60); do
+            curl -fs http://127.0.0.1:5000/api/version && exit 0
+            sleep 5
+          done
+          echo "API never came up"; docker logs frigate; exit 1
+      - name: Assert security headers and permissions
+        run: |
+          headers=$(curl -ksI https://127.0.0.1:8971/)
+          echo "$headers"
+          echo "$headers" | grep -qi "x-content-type-options: nosniff"
+          echo "$headers" | grep -qi "referrer-policy: strict-origin-when-cross-origin"
+          # server_tokens off: Server header must not include a version.
+          # written as an if rather than "! grep", because bash exempts a
+          # negated command from set -e and the assertion would never fail
+          if echo "$headers" | grep -qiE "^server: nginx/[0-9]"; then
+            echo "Server header leaks the nginx version; server_tokens is not off"
+            exit 1
+          fi
+          # Frigate never ships frame-ancestors: HA's Webpage card and iframe
+          # panels frame it cross-origin and it would break them silently
+          if echo "$headers" | grep -qi "frame-ancestors"; then
+            echo "response carries frame-ancestors, which breaks cross-origin iframe embedding"
+            exit 1
+          fi
+          # -t as root would chown the live cache and temp dirs to the `user`
+          # directive user; stdout discarded because -t reopens the config's
+          # /dev/stdout logs and the docker exec pipe is root-owned
+          docker exec frigate /command/s6-setuidgid frigate bash -c '/usr/local/nginx/sbin/nginx -e stderr -t -c /tmp/nginx/conf/nginx.conf >/dev/null'
+          docker exec frigate stat -c %a /config/tls/privkey.pem | grep -qx 600
+          docker exec frigate stat -c %a /dev/shm/go2rtc.yaml | grep -qx 640
+      - name: Assert services run as non-root
+        run: |
+          ps_out=$(docker exec frigate ps -eo user=,comm=)
+          echo "$ps_out"
+          assert_nonroot() {
+            # the process must exist AND no instance of it may run as root
+            echo "$ps_out" | grep -qw "$1" || { echo "$1 is not running"; exit 1; }
+            if echo "$ps_out" | grep -w "$1" | grep -q '^root'; then
+              echo "$1 is running as root"; exit 1
+            fi
+          }
+          assert_nonroot python3
+          assert_nonroot go2rtc
+          assert_nonroot nginx
+          # root-era jwt secret must have been captured by the sweep and the
+          # auth stack must be functional: wrong creds => clean 401, not 500
+          docker exec frigate stat -c %u /config/.jwt_secret | grep -qx "$(docker exec frigate id -u frigate)"
+          code=$(curl -s -o /dev/null -w '%{http_code}' -X POST http://127.0.0.1:5000/api/login \
+            -H 'content-type: application/json' -d '{"user":"admin","password":"definitely-wrong"}')
+          [ "$code" = "401" ] || { echo "login endpoint returned $code"; exit 1; }
+          # a root nginx -t above would have chowned the runtime dirs to root
+          owners=$(docker exec frigate stat -c %U /tmp/nginx /dev/shm/nginx_cache)
+          echo "$owners"
+          if echo "$owners" | grep -qvx frigate; then
+            echo "nginx runtime dirs are not owned by frigate"; exit 1
+          fi
+          # runtime user can write recordings storage
+          docker exec frigate /command/s6-setuidgid frigate touch /media/frigate/.write-probe
+          docker exec frigate rm /media/frigate/.write-probe
+          # tmpfs mount per the docs: arrives root-owned, holds the ZMQ IPC sockets
+          docker exec frigate /command/s6-setuidgid frigate touch /tmp/cache/.write-probe
+          docker exec frigate rm /tmp/cache/.write-probe
+          # models are baked in as root and archive members can carry root-only modes
+          docker exec frigate /command/s6-setuidgid frigate sh -c '
+            for f in /cpu_model.tflite /edgetpu_model.tflite /cpu_audio_model.tflite \
+                     /labelmap.txt /audio-labelmap.txt /openvino-model/*; do
+              [ -e "$f" ] || continue
+              test -r "$f" || { echo "$f is not readable by the runtime user"; exit 1; }
+            done'
+      - name: Assert device access grants
+        run: |
+          # a fake accelerator node created after boot, then the oneshot re-run
+          docker exec frigate mknod /dev/apex_9 c 120 99
+          docker exec frigate /etc/s6-overlay/s6-rc.d/init-devices/run
+          acl=$(docker exec frigate getfacl -p /dev/apex_9)
+          echo "$acl"
+          echo "$acl" | grep -q "user:frigate:rw-"
+          echo "$acl" | grep -q "user:go2rtc:rw-"
+          # the usb tree gets recursive grants plus a default ACL that
+          # newly created nodes inherit (the Coral re-enumeration path)
+          docker exec frigate sh -c 'mkdir -p /dev/bus/usb/001 && mknod /dev/bus/usb/001/002 c 189 1'
+          docker exec frigate /etc/s6-overlay/s6-rc.d/init-devices/run
+          docker exec frigate getfacl -p /dev/bus/usb/001 | grep -q "user:frigate:rwx"
+          docker exec frigate sh -c 'mknod /dev/bus/usb/001/099 c 189 98 && chmod 664 /dev/bus/usb/001/099'
+          inherited=$(docker exec frigate getfacl -p /dev/bus/usb/001/099)
+          echo "$inherited"
+          echo "$inherited" | grep -q "user:frigate:rw-"
+          # getfacl prints granted perms even when the mask clamps them to
+          # nothing, with a trailing "#effective:" comment; a clamped ACL must
+          # fail this assertion, not sneak past it. The check is scoped to the
+          # runtime users because the inherited group:: entry is always clamped
+          # on a non-directory, so an unscoped grep could never pass.
+          if echo "$inherited" | grep -E "^user:(frigate|go2rtc):" | grep -q "effective"; then
+            echo "inherited ACL is mask-clamped and grants no real access"; exit 1
+          fi
+          # hardware that is absent must stay silent: the literal table entries
+          # are not globs, so nullglob does not drop them and only an existence
+          # check keeps them from warning on every boot
+          out=$(docker exec frigate /etc/s6-overlay/s6-rc.d/init-devices/run)
+          echo "$out"
+          if echo "$out" | grep -q "WARN"; then
+            echo "grant warned about device nodes that do not exist"; exit 1
+          fi
+      - name: Assert escape hatch restores root
+        run: |
+          mkdir -p /tmp/frigate-config-root
+          printf 'mqtt:\n  enabled: false\ncameras: {}\n' > /tmp/frigate-config-root/config.yml
+          # pre-seed so the absence check proves the rm -f, not a vacuous pass
+          echo "2:1000:1000" > /tmp/frigate-config-root/.permissions_version
+          docker run -d --name frigate-root --shm-size 256m \
+            -e FRIGATE_RUN_AS_ROOT=true \
+            -v /tmp/frigate-config-root:/config \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          up=0
+          for i in $(seq 1 60); do
+            docker exec frigate-root curl -fs http://127.0.0.1:5000/api/version && up=1 && break
+            sleep 5
+          done
+          if [ "$up" -ne 1 ]; then echo "escape hatch container never healthy"; docker logs frigate-root; exit 1; fi
+          ps_out=$(docker exec frigate-root ps -eo user=,comm=)
+          echo "$ps_out"
+          echo "$ps_out" | grep -w python3 | grep -q '^root'
+          echo "$ps_out" | grep -w go2rtc  | grep -q '^root'
+          echo "$ps_out" | grep -w nginx   | grep -q '^root'
+          # an if, not ! test: bash exempts negated commands from set -e
+          if docker exec frigate-root test -f /config/.permissions_version; then
+            echo "escape hatch did not delete the sweep sentinel"; exit 1
+          fi
+          docker rm -f frigate-root
+      - name: Assert granular root services
+        run: |
+          mkdir -p /tmp/frigate-config-granular /tmp/frigate-media-granular
+          printf 'mqtt:\n  enabled: false\ncameras: {}\n' > /tmp/frigate-config-granular/config.yml
+          docker run -d --name frigate-granular --shm-size 256m \
+            -e FRIGATE_ROOT_SERVICES=frigate \
+            -v /tmp/frigate-config-granular:/config \
+            -v /tmp/frigate-media-granular:/media/frigate \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          up=0
+          for i in $(seq 1 60); do
+            docker exec frigate-granular curl -fs http://127.0.0.1:5000/api/version && up=1 && break
+            sleep 5
+          done
+          if [ "$up" -ne 1 ]; then echo "granular container never became healthy"; docker logs frigate-granular; exit 1; fi
+          ps_out=$(docker exec frigate-granular ps -eo user=,comm=)
+          echo "$ps_out"
+          # the listed service runs as root
+          echo "$ps_out" | grep -w python3 | grep -q '^root'
+          # unlisted services still drop; ifs because set -e exempts negated commands
+          if echo "$ps_out" | grep -w go2rtc | grep -q '^root'; then
+            echo "go2rtc is unexpectedly running as root"; exit 1
+          fi
+          if echo "$ps_out" | grep -w nginx | grep -q '^root'; then
+            echo "nginx is unexpectedly running as root"; exit 1
+          fi
+          # the sweep still ran and the sentinel records the mode
+          docker exec frigate-granular cat /config/.permissions_version | grep -qx "2:1000:1000:frigate"
+          # the root frigate process chowns the db it creates (first-boot immediacy)
+          docker exec frigate-granular stat -c %u /config/frigate.db | grep -qx 1000
+          # plant a root-owned straggler; the per-boot sweep must reclaim it on restart
+          docker exec frigate-granular sh -c 'mkdir -p /media/frigate/clips && touch /media/frigate/clips/straggler.webp'
+          docker restart frigate-granular
+          up=0
+          for i in $(seq 1 60); do
+            docker exec frigate-granular curl -fs http://127.0.0.1:5000/api/version && up=1 && break
+            sleep 5
+          done
+          if [ "$up" -ne 1 ]; then echo "granular container never came back after restart"; docker logs frigate-granular; exit 1; fi
+          docker exec frigate-granular stat -c %u /media/frigate/clips/straggler.webp | grep -qx 1000
+          docker rm -f frigate-granular
+      - name: Assert unknown root service fails fast
+        run: |
+          mkdir -p /tmp/frigate-config-badsvc
+          printf 'mqtt:\n  enabled: false\ncameras: {}\n' > /tmp/frigate-config-badsvc/config.yml
+          docker run -d --name frigate-badsvc --shm-size 256m \
+            -e FRIGATE_ROOT_SERVICES=frigatee \
+            -v /tmp/frigate-config-badsvc:/config \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          found=0
+          for i in $(seq 1 12); do
+            if docker logs frigate-badsvc 2>&1 | grep -q "unknown service 'frigatee'"; then found=1; break; fi
+            sleep 5
+          done
+          if [ "$found" -ne 1 ]; then
+            echo "no fail-fast error for an unknown service name"; docker logs frigate-badsvc; exit 1
+          fi
+          # the failed oneshot blocks startup through the dependency chain
+          if docker exec frigate-badsvc curl -fs http://127.0.0.1:5000/api/version; then
+            echo "container came up despite an invalid FRIGATE_ROOT_SERVICES"; exit 1
+          fi
+          docker rm -f frigate-badsvc
+      - name: Assert PUID/PGID remapping
+        run: |
+          mkdir -p /tmp/frigate-config-puid /tmp/frigate-media-puid
+          printf 'mqtt:\n  enabled: false\ncameras: {}\n' > /tmp/frigate-config-puid/config.yml
+          docker run -d --name frigate-puid --shm-size 256m \
+            -e PUID=1500 -e PGID=1500 \
+            -v /tmp/frigate-config-puid:/config \
+            -v /tmp/frigate-media-puid:/media/frigate \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          up=0
+          for i in $(seq 1 60); do
+            docker exec frigate-puid curl -fs http://127.0.0.1:5000/api/version && up=1 && break
+            sleep 5
+          done
+          if [ "$up" -ne 1 ]; then echo "PUID container never became healthy"; docker logs frigate-puid; exit 1; fi
+          docker exec frigate-puid id -u frigate | grep -qx 1500
+          docker exec frigate-puid id -g frigate | grep -qx 1500
+          docker exec frigate-puid cat /config/.permissions_version | grep -qx "2:1500:1500"
+          # second boot must skip the sweep (sentinel hit). Poll rather than
+          # sleep: the string can only come from the second boot (the first
+          # had no sentinel), so grepping the full log is unambiguous.
+          docker restart frigate-puid
+          ok=0
+          for i in $(seq 1 30); do
+            docker logs frigate-puid 2>&1 | grep -q "already applied" && ok=1 && break
+            sleep 2
+          done
+          if [ "$ok" -ne 1 ]; then echo "sentinel skip never logged"; docker logs frigate-puid; exit 1; fi
+          docker rm -f frigate-puid
+      - name: Assert read-only rootfs with --user works
+        run: |
+          mkdir -p /tmp/frigate-config-ro /tmp/frigate-media-ro
+          printf 'mqtt:\n  enabled: false\ncameras: {}\n' > /tmp/frigate-config-ro/config.yml
+          sudo chown -R 1000:1000 /tmp/frigate-config-ro /tmp/frigate-media-ro
+          # /run must allow exec: S6_READ_ONLY_ROOT has s6 copy its service
+          # scripts there and run them, and --tmpfs defaults to noexec
+          docker run -d --name frigate-ro --shm-size 256m \
+            --read-only --tmpfs /tmp:rw,size=1g --tmpfs /run:exec,nosuid,nodev,mode=0755 \
+            --user 1000:1000 \
+            --security-opt no-new-privileges:true \
+            -v /tmp/frigate-config-ro:/config \
+            -v /tmp/frigate-media-ro:/media/frigate \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          up=0
+          for i in $(seq 1 60); do
+            docker exec frigate-ro curl -fs http://127.0.0.1:5000/api/version && up=1 && break
+            sleep 5
+          done
+          if [ "$up" -ne 1 ]; then echo "read-only container never healthy"; docker logs frigate-ro; exit 1; fi
+          # an if, not "! grep": bash exempts a negated command from set -e and
+          # the assertion would never fail
+          if docker logs frigate-ro 2>&1 | grep -i "read-only file system"; then
+            echo "a service tried to write to the read-only rootfs"; exit 1
+          fi
+          # the self-signed cert has to land in /config, the only writable path
+          docker exec frigate-ro test -f /config/tls/privkey.pem
+          # and nginx must serve it, which is what proves the templated cert path
+          docker exec frigate-ro curl -ksSI https://127.0.0.1:8971/ >/dev/null
+          # logging must work via the s6-log fallback (no logutil-service as non-root)
+          docker exec frigate-ro test -s /dev/shm/logs/frigate/current
+          # runtime user can write recordings storage
+          docker exec frigate-ro touch /media/frigate/.write-probe
+          docker exec frigate-ro rm /media/frigate/.write-probe
+          docker rm -f frigate-ro
+      - name: Assert PUID with read-only fails fast with clear error
+        run: |
+          docker run -d --name frigate-ro-puid --shm-size 256m \
+            --read-only --tmpfs /tmp:rw,size=1g --tmpfs /run:exec,nosuid,nodev,mode=0755 \
+            -e PUID=1500 -e PGID=1500 \
+            -v /tmp/frigate-config-ro:/config \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          found=0
+          for i in $(seq 1 12); do
+            if docker logs frigate-ro-puid 2>&1 | grep -q "not compatible with read_only"; then found=1; break; fi
+            sleep 5
+          done
+          if [ "$found" -ne 1 ]; then
+            echo "no fail-fast error for PUID with a read-only rootfs"; docker logs frigate-ro-puid; exit 1
+          fi
+          docker rm -f frigate-ro-puid
+      - name: Assert EXTRA_GROUPS with read-only fails fast with clear error
+        run: |
+          docker run -d --name frigate-ro-groups --shm-size 256m \
+            --read-only --tmpfs /tmp:rw,size=1g --tmpfs /run:exec,nosuid,nodev,mode=0755 \
+            -e EXTRA_GROUPS=44 \
+            -v /tmp/frigate-config-ro:/config \
+            -v /tmp/frigate-media-ro:/media/frigate \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          found=0
+          for i in $(seq 1 12); do
+            if docker logs frigate-ro-groups 2>&1 | grep -q "EXTRA_GROUPS needs a writable /etc"; then found=1; break; fi
+            sleep 5
+          done
+          if [ "$found" -ne 1 ]; then
+            echo "no fail-fast error for EXTRA_GROUPS with a read-only rootfs"; docker logs frigate-ro-groups; exit 1
+          fi
+          docker rm -f frigate-ro-groups
+      - name: Assert read-only rootfs in the default mode works
+        run: |
+          mkdir -p /tmp/frigate-config-rod /tmp/frigate-media-rod
+          printf 'mqtt:\n  enabled: false\ncameras: {}\n' > /tmp/frigate-config-rod/config.yml
+          docker run -d --name frigate-rod --shm-size 256m \
+            --read-only --tmpfs /tmp:rw,size=1g --tmpfs /run:exec,nosuid,nodev,mode=0755 \
+            --security-opt no-new-privileges:true \
+            -v /tmp/frigate-config-rod:/config \
+            -v /tmp/frigate-media-rod:/media/frigate \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          up=0
+          for i in $(seq 1 60); do
+            docker exec frigate-rod curl -fs http://127.0.0.1:5000/api/version && up=1 && break
+            sleep 5
+          done
+          if [ "$up" -ne 1 ]; then echo "read-only default-mode container never healthy"; docker logs frigate-rod; exit 1; fi
+          if docker logs frigate-rod 2>&1 | grep -i "read-only file system"; then
+            echo "a service tried to write to the read-only rootfs"; exit 1
+          fi
+          # the point of this mode over docker's user:: the drop still happens
+          # and go2rtc still gets its own separate user
+          ps_out=$(docker exec frigate-rod ps -eo user=,comm=)
+          echo "$ps_out"
+          for svc in python3 nginx; do
+            if echo "$ps_out" | grep -w "$svc" | grep -q '^root'; then
+              echo "$svc is running as root"; exit 1
+            fi
+          done
+          echo "$ps_out" | grep -w go2rtc | grep -q '^go2rtc'
+          # the ownership sweep still ran and recorded itself in /config
+          docker exec frigate-rod cat /config/.permissions_version | grep -qx "2:1000:1000"
+          # setfacl under a read-only rootfs, which nothing else covers:
+          # init-devices exits early under --user, so that path is never reached
+          docker exec frigate-rod mknod /dev/apex_9 c 120 99
+          docker exec frigate-rod /etc/s6-overlay/s6-rc.d/init-devices/run
+          docker exec frigate-rod getfacl -p /dev/apex_9 | grep -q "user:frigate:rw-"
+          docker rm -f frigate-rod
+      - name: "Assert switching that install to user: still starts"
+        run: |
+          # the config dir above now holds a go2rtc-owned go2rtc_homekit.yml,
+          # which user: keeps readable but not writable (no supplementary groups)
+          docker run -d --name frigate-rod-user --shm-size 256m \
+            --read-only --tmpfs /tmp:rw,size=1g --tmpfs /run:exec,nosuid,nodev,mode=0755 \
+            --user 1000:1000 \
+            -v /tmp/frigate-config-rod:/config \
+            -v /tmp/frigate-media-rod:/media/frigate \
+            ${{ steps.setup.outputs.image-name }}-amd64
+          up=0
+          for i in $(seq 1 60); do
+            docker exec frigate-rod-user curl -fs http://127.0.0.1:5000/api/version && up=1 && break
+            sleep 5
+          done
+          if [ "$up" -ne 1 ]; then echo "container did not survive the switch to user:"; docker logs frigate-rod-user; exit 1; fi
+          docker logs frigate-rod-user 2>&1 | grep -q "HomeKit pairing changes will not persist"
+          docker rm -f frigate-rod-user
+      - name: Teardown
+        if: always()
+        run: docker rm -f frigate || true
  arm64_build:
    runs-on: ubuntu-22.04-arm
    name: ARM Build
@@ -28,3 +28,7 @@ core
 docs/src/components/DockerComposeGenerator/config/devices.ts
 docs/src/components/DockerComposeGenerator/config/hardware.ts
 docs/src/components/DockerComposeGenerator/config/ports.ts
+
+# GenAI review prompt tester local data (frames from real cameras)
+testing-scripts/genai-review-examples/*
+!testing-scripts/genai-review-examples/README.md
@@ -1,7 +1,7 @@
 default_target: local

 COMMIT_HASH := $(shell git log -1 --pretty=format:"%h"|tail -1)
-VERSION = 0.18.0
+VERSION = 0.19.0
 IMAGE_REPO ?= ghcr.io/blakeblackshear/frigate
 GITHUB_REF_NAME ?= $(shell git rev-parse --abbrev-ref HEAD)
 BOARDS= #Initialized empty
@@ -60,10 +60,10 @@ ARG DEBIAN_FRONTEND
 RUN --mount=type=bind,source=docker/main/build_intel_media_driver.sh,target=/deps/build_intel_media_driver.sh \
    /deps/build_intel_media_driver.sh

-FROM scratch AS go2rtc
+FROM wget AS go2rtc
 ARG TARGETARCH
-WORKDIR /rootfs/usr/local/go2rtc/bin
-ADD --link --chmod=755 "https://github.com/AlexxIT/go2rtc/releases/download/v1.9.14/go2rtc_linux_${TARGETARCH}" go2rtc
+RUN --mount=type=bind,source=docker/main/install_go2rtc.sh,target=/deps/install_go2rtc.sh \
+    /deps/install_go2rtc.sh

 FROM wget AS tempio
 ARG TARGETARCH
@@ -146,6 +146,8 @@ RUN wget -q https://github.com/openvinotoolkit/open_model_zoo/raw/master/data/da
 RUN wget -qO - https://www.kaggle.com/api/v1/models/google/yamnet/tfLite/classification-tflite/1/download | tar xvz && mv 1.tflite cpu_audio_model.tflite
 COPY audio-labelmap.txt .

+RUN chmod -R a+rX /rootfs
+

 FROM wget AS s6-overlay
 ARG TARGETARCH
@@ -200,10 +202,6 @@ RUN pip3 wheel --wheel-dir=/wheels -r /requirements-wheels.txt && \
        pip3 wheel --wheel-dir=/wheels -r /requirements-dev.txt; \
    fi

-# Install HailoRT & Wheels
-RUN --mount=type=bind,source=docker/main/install_hailort.sh,target=/deps/install_hailort.sh \
-    /deps/install_hailort.sh
-
 # Collect deps in a single layer
 FROM scratch AS deps-rootfs
 COPY --from=nginx /usr/local/nginx/ /usr/local/nginx/
@@ -214,7 +212,6 @@ COPY --from=libusb-build /usr/local/lib /usr/local/lib
 COPY --from=tempio /rootfs/ /
 COPY --from=s6-overlay /rootfs/ /
 COPY --from=models /rootfs/ /
-COPY --from=wheels /rootfs/ /
 COPY docker/main/rootfs/ /


@@ -265,6 +262,23 @@ ENV PATH="/usr/local/go2rtc/bin:/usr/local/tempio/bin:/usr/local/nginx/sbin:${PA
 RUN --mount=type=bind,source=docker/main/install_deps.sh,target=/deps/install_deps.sh \
    /deps/install_deps.sh

+# Runtime users. frigate may be remapped at start via PUID/PGID (init-usermod)
+# or replaced entirely with docker's --user. go2rtc is intentionally separate
+# and more restricted. frigate-data is the shared group for /config access.
+# -o tolerates variant base images that already contain uid/gid 1000.
+RUN groupadd -o --gid 1000 frigate \
+    && useradd -o --uid 1000 --gid frigate --no-create-home --shell /usr/sbin/nologin frigate \
+    && groupadd --system go2rtc \
+    && useradd --system --gid go2rtc --no-create-home --shell /usr/sbin/nologin go2rtc \
+    && groupadd --system frigate-data \
+    && usermod -aG frigate-data frigate \
+    && usermod -aG frigate-data go2rtc \
+    && for grp in video render plugdev audio; do \
+         if getent group "$grp" >/dev/null; then \
+           usermod -aG "$grp" frigate && usermod -aG "$grp" go2rtc; \
+         fi; \
+       done
+
 ENV DEFAULT_FFMPEG_VERSION="8.0"
 ENV INCLUDED_FFMPEG_VERSIONS="${DEFAULT_FFMPEG_VERSION}:7.0:5.0"

@@ -275,16 +289,12 @@ RUN wget -q https://bootstrap.pypa.io/get-pip.py -O get-pip.py \
 RUN --mount=type=bind,from=wheels,source=/wheels,target=/deps/wheels \
    pip3 install -U /deps/wheels/*.whl

-# Install Axera Engine
-RUN pip3 install https://github.com/AXERA-TECH/pyaxengine/releases/download/0.1.3-frigate/axengine-0.1.3-py3-none-any.whl
-
+# The Hailo, MemryX, and Axera runtimes are installed at first start by
+# frigate/util/runtime_deps.py, only when that detector is configured.
+# Axera's native libraries are bind mounted from the host.
 ENV PATH="${PATH}:/usr/bin/axcl"
 ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/lib/axcl"

-# Install MemryX runtime (requires libgomp (OpenMP) in the final docker image)
-RUN --mount=type=bind,source=docker/main/install_memryx.sh,target=/deps/install_memryx.sh \
-    bash -c "bash /deps/install_memryx.sh"
-
 COPY --from=deps-rootfs / /

 RUN ldconfig
@@ -297,6 +307,9 @@ EXPOSE 8555/tcp 8555/udp
 ENV S6_LOGGING_SCRIPT="T 1 n0 s10000000 T"
 # Do not fail on long-running download scripts
 ENV S6_CMD_WAIT_FOR_SERVICES_MAXTIME=0
+# Allow running with a read-only root filesystem: s6 copies its scan dir into
+# /run and executes service scripts from there, so /run must allow exec
+ENV S6_READ_ONLY_ROOT=1

 ENTRYPOINT ["/init"]
 CMD []
@@ -307,6 +320,11 @@ HEALTHCHECK --start-period=300s --start-interval=5s --interval=15s --timeout=5s
 # Frigate deps with Node.js and NPM for devcontainer
 FROM deps AS devcontainer

+# /config here is the developer's bind-mounted checkout, not a data volume, so
+# the prepare ownership sweep must not run: it would chown the source tree to
+# the runtime uid and lock out any container user that isn't 1000.
+ENV FRIGATE_RUN_AS_ROOT=true
+
 # Do not start the actual Frigate service on devcontainer as it will be started by VS Code
 # But start a fake service for simulating the logs
 COPY docker/main/fake_frigate_run /etc/s6-overlay/s6-rc.d/frigate/run
@@ -363,3 +381,7 @@ FROM deps AS frigate

 WORKDIR /opt/frigate/
 COPY --from=rootfs / /
+
+# Pre-compile bytecode so a read-only rootfs doesn't force re-parsing the
+# source tree on every boot (pip-installed packages are already compiled)
+RUN python3 -m compileall -q -j0 /opt/frigate/frigate
@@ -3,7 +3,7 @@
 set -euxo pipefail

 NGINX_VERSION="1.27.4"
-VOD_MODULE_VERSION="1.31"
+VOD_MODULE_VERSION="v1.9.1"
 SECURE_TOKEN_MODULE_VERSION="1.5"
 SET_MISC_MODULE_VERSION="v0.33"
 NGX_DEVEL_KIT_VERSION="v0.3.3"
@@ -31,24 +31,24 @@ wget -nv https://nginx.org/download/nginx-${NGINX_VERSION}.tar.gz
 tar -zxf nginx-${NGINX_VERSION}.tar.gz -C /tmp/nginx --strip-components=1
 rm nginx-${NGINX_VERSION}.tar.gz
 mkdir /tmp/nginx-vod-module
-wget -nv https://github.com/kaltura/nginx-vod-module/archive/refs/tags/${VOD_MODULE_VERSION}.tar.gz
+wget -nv https://github.com/dio-az/nginx-vod-module/archive/refs/tags/${VOD_MODULE_VERSION}.tar.gz
 tar -zxf ${VOD_MODULE_VERSION}.tar.gz -C /tmp/nginx-vod-module --strip-components=1
 rm ${VOD_MODULE_VERSION}.tar.gz
    # Patch MAX_CLIPS to allow more clips to be added than the default 128
 sed -i 's/MAX_CLIPS (128)/MAX_CLIPS (1080)/g' /tmp/nginx-vod-module/vod/media_set.h
 patch -d /tmp/nginx-vod-module/ -p1 << 'EOF'
--- a/vod/avc_hevc_parser.c       2022-06-27 11:38:10.000000000 +0000
-+++ b/vod/avc_hevc_parser.c       2023-01-16 11:25:10.900521298 +0000
-@@ -3,6 +3,9 @@
+--- a/vod/avc_hevc_parser.c
+++ b/vod/avc_hevc_parser.c
+@@ -2,6 +2,9 @@
+
 bool_t
- avc_hevc_parser_rbsp_trailing_bits(bit_reader_state_t* reader)
- {
+ avc_hevc_parser_rbsp_trailing_bits(bit_reader_state_t* reader) {
 +	// https://github.com/blakeblackshear/frigate/issues/4572
 +	return TRUE;
 +
 	uint32_t one_bit;

- 	if (reader->stream.eof_reached)
+ 	if (reader->stream.eof_reached) {
 EOF


@@ -10,7 +10,7 @@ apt-get -qq install --no-install-recommends -y \
    gnupg \
    wget \
    lbzip2 \
-    procps vainfo \
+    procps vainfo acl \
    unzip locales tzdata libxml2 xz-utils \
    python3.11 \
    curl \
@@ -28,7 +28,13 @@ update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.11 1
 mkdir -p -m 600 /root/.gnupg

 # install coral runtime
+# sha256 digests of the release debs; update when bumping the libedgetpu release.
+declare -A edgetpu_checksums=(
+    ["amd64"]="63fd00989d29160fa9894e115156a9abe456e88751fc9be89d26e4696200441b"
+    ["arm64"]="eab8aa4576b4dbf738135d8094f32270b24117f77147d25cbe0f49d0144d85f2"
+)
 wget -q -O /tmp/libedgetpu1-max.deb "https://github.com/feranick/libedgetpu/releases/download/16.0TF2.17.1-1/libedgetpu1-max_16.0tf2.17.1-1.bookworm_${TARGETARCH}.deb"
+echo "${edgetpu_checksums[${TARGETARCH}]}  /tmp/libedgetpu1-max.deb" | sha256sum -c -
 unset DEBIAN_FRONTEND
 yes | dpkg -i /tmp/libedgetpu1-max.deb && export DEBIAN_FRONTEND=noninteractive
 rm /tmp/libedgetpu1-max.deb
@@ -45,36 +51,41 @@ if [[ "${TARGETARCH}" == "arm64" ]]; then
    fi
 fi

+# sha256 digests of the ffmpeg builds, keyed "<install dir>-<arch>".
+# Upstream publishes no checksums; these come from a one-time fetch and guard
+# against later substitution. Update when bumping a build URL.
+declare -A ffmpeg_checksums=(
+    ["5.0-amd64"]="377abec133f9d9e8014dee1b91c9684ac8bb0b5b7d80100a57116ff837c4c0d4"
+    ["7.0-amd64"]="e13860eb90409c8218319c928067834ce450128e86f24cfed5cfe91ce6e31037"
+    ["8.0-amd64"]="9bac85054d351cdc89c0a4f45c8ea5c44df94009aabd964b719bbadd56aedae9"
+    ["5.0-arm64"]="57ee475407bad49910ba9b946428396e30cf075ea28a7912fbe1aa2578085af0"
+    ["7.0-arm64"]="16c8b04e9d0ea9c769ad964c4c453fcf05121a1947237329d2e9d8a5e43e2a3c"
+    ["8.0-arm64"]="cd91948468d0f11ce795a2cdaa0c69911bd1db313b49bb19c22512beb88cde69"
+)
+
+# the tarballs nest their binaries under a directory named for the arch, which
+# matches TARGETARCH for both builds we consume
+install_ffmpeg() {
+    local dir="$1" url="$2"
+    mkdir -p "/usr/lib/ffmpeg/${dir}"
+    wget -qO ffmpeg.tar.xz "${url}"
+    echo "${ffmpeg_checksums[${dir}-${TARGETARCH}]}  ffmpeg.tar.xz" | sha256sum -c -
+    tar -xf ffmpeg.tar.xz -C "/usr/lib/ffmpeg/${dir}" --strip-components 1 "${TARGETARCH}/bin/ffmpeg" "${TARGETARCH}/bin/ffprobe"
+    rm -f ffmpeg.tar.xz
+}
+
 # ffmpeg -> amd64
 if [[ "${TARGETARCH}" == "amd64" ]]; then
-    mkdir -p /usr/lib/ffmpeg/5.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux64-gpl-5.1.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
-    rm -rf ffmpeg.tar.xz
-    mkdir -p /usr/lib/ffmpeg/7.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linux64-gpl-7.0.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
-    rm -rf ffmpeg.tar.xz
-    mkdir -p /usr/lib/ffmpeg/8.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-06-02-14-20/ffmpeg-n8.1.1-9-g58d4114d36-linux64-gpl-8.1.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/8.0 --strip-components 1 amd64/bin/ffmpeg amd64/bin/ffprobe
-    rm -rf ffmpeg.tar.xz
+    install_ffmpeg 5.0 "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linux64-gpl-5.1.tar.xz"
+    install_ffmpeg 7.0 "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linux64-gpl-7.0.tar.xz"
+    install_ffmpeg 8.0 "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-06-02-14-20/ffmpeg-n8.1.1-9-g58d4114d36-linux64-gpl-8.1.tar.xz"
 fi

 # ffmpeg -> arm64
 if [[ "${TARGETARCH}" == "arm64" ]]; then
-    mkdir -p /usr/lib/ffmpeg/5.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linuxarm64-gpl-5.1.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/5.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
-    rm -f ffmpeg.tar.xz
-    mkdir -p /usr/lib/ffmpeg/7.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linuxarm64-gpl-7.0.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/7.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
-    rm -f ffmpeg.tar.xz
-    mkdir -p /usr/lib/ffmpeg/8.0
-    wget -qO ffmpeg.tar.xz "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-06-02-14-20/ffmpeg-n8.1.1-9-g58d4114d36-linuxarm64-gpl-8.1.tar.xz"
-    tar -xf ffmpeg.tar.xz -C /usr/lib/ffmpeg/8.0 --strip-components 1 arm64/bin/ffmpeg arm64/bin/ffprobe
-    rm -f ffmpeg.tar.xz
+    install_ffmpeg 5.0 "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2022-07-31-12-37/ffmpeg-n5.1-2-g915ef932a3-linuxarm64-gpl-5.1.tar.xz"
+    install_ffmpeg 7.0 "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2024-09-19-12-51/ffmpeg-n7.0.2-18-g3e6cec1286-linuxarm64-gpl-7.0.tar.xz"
+    install_ffmpeg 8.0 "https://github.com/NickM-27/FFmpeg-Builds/releases/download/autobuild-2026-06-02-14-20/ffmpeg-n8.1.1-9-g58d4114d36-linuxarm64-gpl-8.1.tar.xz"
 fi

 # arch specific packages
@@ -120,27 +131,56 @@ if [[ "${TARGETARCH}" == "amd64" ]]; then
    apt-get -qq install -y libtbb12

    # install legacy and standard intel compute packages
+    # sha256 digests of the driver debs, taken from the ww<week>.sum asset
+    # compute-runtime ships per release and the checksum.sha256 on npu-driver
+    # v1.19.0; intel-graphics-compiler and level-zero publish none, so those
+    # five are hash-what-you-get. Refresh after a version bump with
+    # `curl -sL <url> | sha256sum`, cross-checking upstream's sum where the
+    # release still has one. npu-driver stopped publishing them after v1.19.0.
+    declare -A intel_checksums=(
+        ["libigdgmm12_22.9.0_amd64.deb"]="9d712f71c18baee076de9961dda71e8089291e1bd0deb5d649ab5ba5de114f97"
+        ["intel-opencl-icd-legacy1_24.35.30872.36_amd64.deb"]="bbe71e4f414259e06a10cde72c29a2bd78d41b2bb2f6f8463b1806797fe66e85"
+        ["intel-level-zero-gpu-legacy1_1.5.30872.36_amd64.deb"]="40dfbd15ab62de036a00824b304a2aa1fa2d81ad60ef83da09cfe3c5a80c429f"
+        ["intel-igc-opencl_1.0.17537.24_amd64.deb"]="dd016400f87fa2b6a9fa9fbcca7eb4a2629174a29de679709f9bec5cede88b0e"
+        ["intel-igc-core_1.0.17537.24_amd64.deb"]="c1e1ecdfe2064c047c552651cfdcdafc504f2033afafba65654338b880048b67"
+        ["intel-opencl-icd_26.14.37833.4-0_amd64.deb"]="2e15eeb4fe9c1bba467a655967373eec6a20dd04cc7159de53c359f17ab53e41"
+        ["libze-intel-gpu1_26.14.37833.4-0_amd64.deb"]="34ce5791160d87ce6d54edb558a4030858ee1dad2afb067b9c5c58d4cde774c6"
+        ["intel-igc-opencl-2_2.32.7+21184_amd64.deb"]="3c9bddbfe558279402bbeaabcf9c63b8de46b956b0ad9625415fd35dda53ad52"
+        ["intel-igc-core-2_2.32.7+21184_amd64.deb"]="64e5230788e3a31e611e8d815a141b1facb91e5f0ef239233ef3f0614bfe3fd6"
+        ["level-zero_1.28.2+u22.04_amd64.deb"]="9015a579abef960166f8e943858d5c81fd4199a960f07260c1da66038257effb"
+        ["intel-driver-compiler-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb"]="8087bfcc0872d7976d0163203c7c783a4176f813c473766587e86c7b34135dff"
+        ["intel-fw-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb"]="740219c03495f8812c03ab74baf8199acf17d13929001105418d4ba226ba2290"
+        ["intel-level-zero-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb"]="f4f5eb97aa7da52c7fec97e4ddfb43aae01703bbadc767bae1f2d4faf342ba42"
+    )
+
+    fetch_intel_deb() {
+        local url="$1" name
+        name=$(basename "$url")
+        wget -q "$url"
+        echo "${intel_checksums[${name}]}  ${name}" | sha256sum -c -
+    }
+
    # see https://github.com/intel/compute-runtime/blob/master/LEGACY_PLATFORMS.md for more info
    # needed core package
-    wget https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/libigdgmm12_22.9.0_amd64.deb
+    fetch_intel_deb https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/libigdgmm12_22.9.0_amd64.deb
    dpkg -i libigdgmm12_22.9.0_amd64.deb
    rm libigdgmm12_22.9.0_amd64.deb

    # legacy compute-runtime packages
-    wget https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-opencl-icd-legacy1_24.35.30872.36_amd64.deb
-    wget https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-level-zero-gpu-legacy1_1.5.30872.36_amd64.deb
-    wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-opencl_1.0.17537.24_amd64.deb
-    wget https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-core_1.0.17537.24_amd64.deb
+    fetch_intel_deb https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-opencl-icd-legacy1_24.35.30872.36_amd64.deb
+    fetch_intel_deb https://github.com/intel/compute-runtime/releases/download/24.35.30872.36/intel-level-zero-gpu-legacy1_1.5.30872.36_amd64.deb
+    fetch_intel_deb https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-opencl_1.0.17537.24_amd64.deb
+    fetch_intel_deb https://github.com/intel/intel-graphics-compiler/releases/download/igc-1.0.17537.24/intel-igc-core_1.0.17537.24_amd64.deb
    # standard compute-runtime packages
-    wget https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/intel-opencl-icd_26.14.37833.4-0_amd64.deb
-    wget https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/libze-intel-gpu1_26.14.37833.4-0_amd64.deb
-    wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.32.7/intel-igc-opencl-2_2.32.7+21184_amd64.deb
-    wget https://github.com/intel/intel-graphics-compiler/releases/download/v2.32.7/intel-igc-core-2_2.32.7+21184_amd64.deb
+    fetch_intel_deb https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/intel-opencl-icd_26.14.37833.4-0_amd64.deb
+    fetch_intel_deb https://github.com/intel/compute-runtime/releases/download/26.14.37833.4/libze-intel-gpu1_26.14.37833.4-0_amd64.deb
+    fetch_intel_deb https://github.com/intel/intel-graphics-compiler/releases/download/v2.32.7/intel-igc-opencl-2_2.32.7+21184_amd64.deb
+    fetch_intel_deb https://github.com/intel/intel-graphics-compiler/releases/download/v2.32.7/intel-igc-core-2_2.32.7+21184_amd64.deb
    # npu packages
-    wget https://github.com/oneapi-src/level-zero/releases/download/v1.28.2/level-zero_1.28.2+u22.04_amd64.deb
-    wget https://github.com/intel/linux-npu-driver/releases/download/v1.19.0/intel-driver-compiler-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb
-    wget https://github.com/intel/linux-npu-driver/releases/download/v1.19.0/intel-fw-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb
-    wget https://github.com/intel/linux-npu-driver/releases/download/v1.19.0/intel-level-zero-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb
+    fetch_intel_deb https://github.com/oneapi-src/level-zero/releases/download/v1.28.2/level-zero_1.28.2+u22.04_amd64.deb
+    fetch_intel_deb https://github.com/intel/linux-npu-driver/releases/download/v1.19.0/intel-driver-compiler-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb
+    fetch_intel_deb https://github.com/intel/linux-npu-driver/releases/download/v1.19.0/intel-fw-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb
+    fetch_intel_deb https://github.com/intel/linux-npu-driver/releases/download/v1.19.0/intel-level-zero-npu_1.19.0.20250707-16111289554_ubuntu22.04_amd64.deb

    dpkg -i *.deb
    rm *.deb
@@ -0,0 +1,19 @@
+#!/bin/bash
+
+set -euxo pipefail
+
+go2rtc_version="1.9.14"
+
+# sha256 digests of the release binaries; update when bumping go2rtc_version.
+declare -A go2rtc_checksums=(
+    ["amd64"]="32d616af226bd731678ffde328b94cfb94e30339bfefc469cfb76323144615a6"
+    ["arm64"]="359fabade8a7a51e81a55fe6df6b0ef81764a5e1d63179577534eaaa71904b50"
+)
+
+dest_dir="/rootfs/usr/local/go2rtc/bin"
+mkdir -p "${dest_dir}"
+
+wget -qO "${dest_dir}/go2rtc" \
+    "https://github.com/AlexxIT/go2rtc/releases/download/v${go2rtc_version}/go2rtc_linux_${TARGETARCH}"
+echo "${go2rtc_checksums[${TARGETARCH}]}  ${dest_dir}/go2rtc" | sha256sum -c -
+chmod 755 "${dest_dir}/go2rtc"
@@ -1,14 +0,0 @@
-#!/bin/bash
-
-set -euxo pipefail
-
-hailo_version="4.21.0"
-
-if [[ "${TARGETARCH}" == "amd64" ]]; then
-    arch="x86_64"
-elif [[ "${TARGETARCH}" == "arm64" ]]; then
-    arch="aarch64"
-fi
-
-wget -qO- "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-debian12-${TARGETARCH}.tar.gz" | tar -C / -xzf -
-wget -P /wheels/ "https://github.com/frigate-nvr/hailort/releases/download/v${hailo_version}/hailort-${hailo_version}-cp311-cp311-linux_${arch}.whl"
@@ -1,31 +0,0 @@
-#!/bin/bash
-set -e
-
-# Download the MxAccl for Frigate github release
-wget https://github.com/memryx/mx_accl_frigate/archive/refs/tags/v2.1.0.zip -O /tmp/mxaccl.zip
-unzip /tmp/mxaccl.zip -d /tmp
-mv /tmp/mx_accl_frigate-2.1.0 /opt/mx_accl_frigate
-rm /tmp/mxaccl.zip
-
-# Install Python dependencies
-pip3 install -r /opt/mx_accl_frigate/freeze
-
-# Link the Python package dynamically
-SITE_PACKAGES=$(python3 -c "import site; print(site.getsitepackages()[0])")
-ln -s /opt/mx_accl_frigate/memryx "$SITE_PACKAGES/memryx"
-
-# Copy architecture-specific shared libraries
-ARCH=$(uname -m)
-if [[ "$ARCH" == "x86_64" ]]; then
-    cp /opt/mx_accl_frigate/memryx/x86/libmemx.so* /usr/lib/x86_64-linux-gnu/
-    cp /opt/mx_accl_frigate/memryx/x86/libmx_accl.so* /usr/lib/x86_64-linux-gnu/
-elif [[ "$ARCH" == "aarch64" ]]; then
-    cp /opt/mx_accl_frigate/memryx/arm/libmemx.so* /usr/lib/aarch64-linux-gnu/
-    cp /opt/mx_accl_frigate/memryx/arm/libmx_accl.so* /usr/lib/aarch64-linux-gnu/
-else
-    echo "Unsupported architecture: $ARCH"
-    exit 1
-fi
-
-# Refresh linker cache
-ldconfig
@@ -4,6 +4,15 @@ set -euxo pipefail

 s6_version="3.2.1.0"

+# sha256 digests of the release artifacts, from the .sha256 files published at
+# https://github.com/just-containers/s6-overlay/releases/tag/v3.2.1.0
+# Update these when bumping s6_version.
+declare -A s6_checksums=(
+    ["noarch"]="42e038a9a00fc0fef70bf0bc42f625a9c14f8ecdfe77d4ad93281edf717e10c5"
+    ["x86_64"]="8bcbc2cada58426f976b159dcc4e06cbb1454d5f39252b3bb0c778ccf71c9435"
+    ["aarch64"]="c8fd6b1f0380d399422fc986a1e6799f6a287e2cfa24813ad0b6a4fb4fa755cc"
+)
+
 if [[ "${TARGETARCH}" == "amd64" ]]; then
    s6_arch="x86_64"
 elif [[ "${TARGETARCH}" == "arm64" ]]; then
@@ -12,8 +21,15 @@ fi

 mkdir -p /rootfs/

-wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-noarch.tar.xz" |
-    tar -C /rootfs/ -Jxpf -
+download_and_extract() {
+    local arch="$1"
+    local tarball="/tmp/s6-overlay-${arch}.tar.xz"
+    wget -qO "${tarball}" \
+        "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-${arch}.tar.xz"
+    echo "${s6_checksums[${arch}]}  ${tarball}" | sha256sum -c -
+    tar -C /rootfs/ -Jxpf "${tarball}"
+    rm -f "${tarball}"
+}

-wget -qO- "https://github.com/just-containers/s6-overlay/releases/download/v${s6_version}/s6-overlay-${s6_arch}.tar.xz" |
-    tar -C /rootfs/ -Jxpf -
+download_and_extract "noarch"
+download_and_extract "${s6_arch}"
@@ -4,6 +4,14 @@ set -euxo pipefail

 tempio_version="2021.09.0"

+# sha256 digests of the release binaries; update when bumping tempio_version.
+# Upstream publishes no checksums, so these come from a one-time fetch and
+# guard against later substitution rather than the original download.
+declare -A tempio_checksums=(
+    ["amd64"]="b7b93ebfd24c1161cec7aecfad62ab51f2241149358cef354b86cdbc6a60546f"
+    ["aarch64"]="3a5c32981ba68b75ed9b28497429e5a5cecbeb74c3b821b035a48b37609bb895"
+)
+
 if [[ "${TARGETARCH}" == "amd64" ]]; then
    arch="amd64"
 elif [[ "${TARGETARCH}" == "arm64" ]]; then
@@ -13,4 +21,5 @@ fi
 mkdir -p /rootfs/usr/local/tempio/bin

 wget -q -O /rootfs/usr/local/tempio/bin/tempio "https://github.com/home-assistant/tempio/releases/download/${tempio_version}/tempio_${arch}"
+echo "${tempio_checksums[${arch}]}  /rootfs/usr/local/tempio/bin/tempio" | sha256sum -c -
 chmod 755 /rootfs/usr/local/tempio/bin/tempio
@@ -57,19 +57,12 @@ pywebpush == 2.0.*
 pyclipper == 1.3.*
 shapely == 2.0.*
 rapidfuzz==3.12.*
-# HailoRT Wheels
-appdirs==1.4.*
+# HailoRT
 argcomplete==2.0.*
 contextlib2==0.6.*
-distlib==0.3.*
-filelock==3.8.*
 future==0.18.*
-importlib-metadata==5.1.*
-importlib-resources==5.1.*
 netaddr==0.8.*
 netifaces==0.10.*
-verboselogs==1.7.*
-virtualenv==20.17.*
 prometheus-client == 0.21.*
 # TFLite
 tflite_runtime @ https://github.com/frigate-nvr/TFlite-builds/releases/download/v2.17.1/tflite_runtime-2.17.1-cp311-cp311-linux_x86_64.whl; platform_machine == 'x86_64'
@@ -1,4 +1,12 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash

-exec logutil-service /dev/shm/logs/certsync
+if [[ "$(id -u)" -eq 0 ]]; then
+    # logutil-service drops to nobody and applies S6_LOGGING_SCRIPT
+    exec logutil-service /dev/shm/logs/certsync
+fi
+
+# Non-root (--user) fallback: logutil-service cannot change UID, so run
+# s6-log directly with the same directives S6_LOGGING_SCRIPT configures.
+# shellcheck disable=SC2086
+exec s6-log ${S6_LOGGING_SCRIPT:-T 1 n0 s10000000 T} /dev/shm/logs/certsync
@@ -6,9 +6,35 @@ set -o errexit -o nounset -o pipefail

 # Logs should be sent to stdout so that s6 can collect them

+# Not `nginx -s reload`: that has root parse /tmp/nginx/conf, which the
+# unprivileged nginx user can rewrite, and nginx chowns path directives on load.
+function reload_nginx() {
+    local pid
+
+    if ! pid=$(cat /tmp/nginx/nginx.pid 2>/dev/null); then
+        echo "[ERROR] No nginx pid file found, not reloading"
+        return 0
+    fi
+
+    if [[ ! "$pid" =~ ^[0-9]+$ ]] || [[ "$(cat "/proc/${pid}/comm" 2>/dev/null)" != "nginx" ]]; then
+        echo "[ERROR] nginx pid file does not name a running nginx process, not reloading"
+        return 0
+    fi
+
+    kill -HUP "$pid"
+}
+
 echo "[INFO] Starting certsync..."

-lefile="/etc/letsencrypt/live/frigate/fullchain.pem"
+# Resolved once, and the condition must stay identical to the nginx run
+# script's. Testing only fullchain.pem here would pick the mounted cert on a
+# half-populated mount that nginx rejected, and the two fingerprints would then
+# never agree, reloading nginx every cycle forever.
+if [ -f /etc/letsencrypt/live/frigate/privkey.pem ] && [ -f /etc/letsencrypt/live/frigate/fullchain.pem ]; then
+    lefile="/etc/letsencrypt/live/frigate/fullchain.pem"
+else
+    lefile="/config/tls/fullchain.pem"
+fi

 tls_enabled=`python3 /usr/local/nginx/get_nginx_settings.py | jq -r .tls.enabled`
 listen_external_port=`python3 /usr/local/nginx/get_nginx_settings.py | jq -r .listen.external_port`
@@ -49,7 +75,7 @@ do
    then
        echo "[INFO] Reloading nginx to refresh TLS certificate"
        echo "$lefile: $leprint"
-        /usr/local/nginx/sbin/nginx -s reload
+        reload_nginx
    fi

    sleep 60
@@ -1,4 +1,12 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash

-exec logutil-service /dev/shm/logs/frigate
+if [[ "$(id -u)" -eq 0 ]]; then
+    # logutil-service drops to nobody and applies S6_LOGGING_SCRIPT
+    exec logutil-service /dev/shm/logs/frigate
+fi
+
+# Non-root (--user) fallback: logutil-service cannot change UID, so run
+# s6-log directly with the same directives S6_LOGGING_SCRIPT configures.
+# shellcheck disable=SC2086
+exec s6-log ${S6_LOGGING_SCRIPT:-T 1 n0 s10000000 T} /dev/shm/logs/frigate
@@ -4,6 +4,24 @@

 set -o errexit -o nounset -o pipefail

+runs_as_root=0
+if [[ "$(id -u)" -eq 0 ]]; then
+    if [[ "${FRIGATE_RUN_AS_ROOT:-false}" == "true" ]] || /usr/local/bin/service-runs-as-root frigate; then
+        runs_as_root=1
+    fi
+fi
+
+# /root survives s6-setuidgid and breaks cache writes after the drop; set
+# before opt_in_out so the opt-out marker lands where the service will look
+if [[ "$runs_as_root" -eq 0 ]]; then
+    export HOME=/config
+fi
+
+# detector runtimes installed at first start (pip install --user) live under
+# $HOME/.local; the dynamic loader only reads LD_LIBRARY_PATH at exec time
+export LD_LIBRARY_PATH="${LD_LIBRARY_PATH:+${LD_LIBRARY_PATH}:}${HOME}/.local/lib"
+export PATH="${PATH}:${HOME}/.local/bin"
+
 # opt out of openvino telemetry
 if [ -e /usr/local/bin/opt_in_out ]; then
  /usr/local/bin/opt_in_out --opt_out > /dev/null 2>&1
@@ -30,4 +48,8 @@ cd /opt/frigate || echo "[ERROR] Failed to change working directory to /opt/frig

 # Replace the bash process with the Frigate process, redirecting stderr to stdout
 exec 2>&1
-exec python3 -u -m frigate
+if [[ "$(id -u)" -ne 0 || "$runs_as_root" -eq 1 ]]; then
+    exec python3 -u -m frigate
+else
+    exec s6-setuidgid frigate python3 -u -m frigate
+fi
@@ -1,4 +1,12 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash

-exec logutil-service /dev/shm/logs/go2rtc
+if [[ "$(id -u)" -eq 0 ]]; then
+    # logutil-service drops to nobody and applies S6_LOGGING_SCRIPT
+    exec logutil-service /dev/shm/logs/go2rtc
+fi
+
+# Non-root (--user) fallback: logutil-service cannot change UID, so run
+# s6-log directly with the same directives S6_LOGGING_SCRIPT configures.
+# shellcheck disable=SC2086
+exec s6-log ${S6_LOGGING_SCRIPT:-T 1 n0 s10000000 T} /dev/shm/logs/go2rtc
@@ -4,6 +4,20 @@

 set -o errexit -o nounset -o pipefail

+runs_as_root=0
+if [[ "$(id -u)" -eq 0 ]]; then
+    if [[ "${FRIGATE_RUN_AS_ROOT:-false}" == "true" ]] || /usr/local/bin/service-runs-as-root go2rtc; then
+        runs_as_root=1
+    fi
+fi
+
+# Root via FRIGATE_ROOT_SERVICES only; the escape hatch sweeps nothing and
+# leaves no unprivileged service, so /config/go2rtc stays as safe as pre-drop.
+granular_root=0
+if [[ "$runs_as_root" -eq 1 && "${FRIGATE_RUN_AS_ROOT:-false}" != "true" ]]; then
+    granular_root=1
+fi
+
 # Logs should be sent to stdout so that s6 can collect them

 function get_ip_and_port_from_supervisor() {
@@ -50,42 +64,6 @@ function set_libva_version() {
    export LIBAVFORMAT_VERSION_MAJOR
 }

-function setup_homekit_config() {
-    local config_path="$1"
-
-    if [[ ! -f "${config_path}" ]]; then
-        echo "[INFO] Creating empty config file for HomeKit..."
-        : > "${config_path}"
-    fi
-
-    # Convert YAML to JSON for jq processing
-    local temp_json="/tmp/cache/homekit_config.json"
-    yq eval -o=json "${config_path}" > "${temp_json}" 2>/dev/null || {
-        echo "[WARNING] Failed to convert HomeKit config to JSON, skipping cleanup"
-        return 0
-    }
-
-    # Use jq to extract the homekit section, if it exists
-    local homekit_json
-    homekit_json=$(jq '
-        if has("homekit") then {homekit: .homekit} else null end
-    ' "${temp_json}" 2>/dev/null) || homekit_json="null"
-
-    # If no homekit section, write an empty config file
-    if [[ "${homekit_json}" == "null" ]]; then
-        : > "${config_path}"
-    else
-        # Convert homekit JSON back to YAML and write to the config file
-        echo "${homekit_json}" | yq eval -P - > "${config_path}" 2>/dev/null || {
-            echo "[WARNING] Failed to convert cleaned config to YAML, creating minimal config"
-            : > "${config_path}"
-        }
-    fi
-
-    # Clean up temp files
-    rm -f "${temp_json}"
-}
-
 set_libva_version

 if [[ -f "/dev/shm/go2rtc.yaml" ]]; then
@@ -106,13 +84,23 @@ else
    echo "[WARNING] Unable to remove existing go2rtc config. Changes made to your frigate config file may not be recognized. Please remove the /dev/shm/go2rtc.yaml from your docker host manually."
 fi

-# HomeKit configuration persistence setup
+# HomeKit persistence. The helper is symlink-safe; hand off to go2rtc only when dropping.
 readonly homekit_config_path="/config/go2rtc_homekit.yml"
-setup_homekit_config "${homekit_config_path}"
+if [[ "$(id -u)" -eq 0 && "$runs_as_root" -eq 0 ]]; then
+    python3 /usr/local/go2rtc/prepare_homekit.py "${homekit_config_path}" --chown
+    chown go2rtc:go2rtc /dev/shm/go2rtc.yaml 2>/dev/null || true
+else
+    python3 /usr/local/go2rtc/prepare_homekit.py "${homekit_config_path}"
+fi

 readonly config_path="/config"

-if [[ -x "${config_path}/go2rtc" ]]; then
+# the sweep hands /config to uid 1000, so a root service must not exec from it
+if [[ "$granular_root" -eq 1 && -x "${config_path}/go2rtc" ]]; then
+  echo "[WARN] Ignoring '${config_path}/go2rtc' because FRIGATE_ROOT_SERVICES runs this service as root and /config is owned by the runtime user; using the embedded binary"
+  echo "[WARN] Use FRIGATE_RUN_AS_ROOT=true instead if you need both a custom go2rtc build and root"
+  readonly binary_path="/usr/local/go2rtc/bin/go2rtc"
+elif [[ -x "${config_path}/go2rtc" ]]; then
  readonly binary_path="${config_path}/go2rtc"
  echo "[WARN] Using go2rtc binary from '${binary_path}' instead of the embedded one"
 else
@@ -125,4 +113,8 @@ echo "[INFO] Starting go2rtc..."
 # Use HomeKit config as the primary config so writebacks go there
 # The main config from Frigate will be loaded as a secondary config
 exec 2>&1
-exec "${binary_path}" -config="${homekit_config_path}" -config=/dev/shm/go2rtc.yaml
+if [[ "$(id -u)" -ne 0 || "$runs_as_root" -eq 1 ]]; then
+    exec "${binary_path}" -config="${homekit_config_path}" -config=/dev/shm/go2rtc.yaml
+else
+    exec s6-setuidgid go2rtc "${binary_path}" -config="${homekit_config_path}" -config=/dev/shm/go2rtc.yaml
+fi
@@ -0,0 +1,104 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+# Grant the runtime users access to mapped-in device nodes with POSIX ACLs,
+# so --device works without host-side group or udev setup.
+# No-op when: started with --user (euid != 0), FRIGATE_RUN_AS_ROOT=true,
+# or FRIGATE_DEVICE_ACLS=false.
+
+set -o errexit -o nounset -o pipefail
+
+if [[ "$(id -u)" -ne 0 ]]; then
+    exit 0
+fi
+
+if [[ "${FRIGATE_RUN_AS_ROOT:-false}" == "true" ]]; then
+    exit 0
+fi
+
+if [[ "${FRIGATE_DEVICE_ACLS:-true}" == "false" ]]; then
+    echo "[INFO] FRIGATE_DEVICE_ACLS=false: skipping device access grants"
+    exit 0
+fi
+
+shopt -s nullglob
+
+device_globs=(
+    "/dev/dri/*"
+    "/dev/accel/*"
+    "/dev/apex_*"
+    "/dev/hailo*"
+    "/dev/video*"
+    "/dev/kfd"
+    "/dev/rknpu*"
+    "/dev/mpp_service"
+    "/dev/rga"
+    "/dev/dma_heap/*"
+    "/dev/nvhost*"
+    "/dev/nvmap"
+    "/dev/nvidia*"
+    "/dev/memx*"
+)
+
+IFS=',' read -ra extra_globs <<< "${DEVICE_ACL_PATHS:-}"
+for extra in "${extra_globs[@]}"; do
+    extra="${extra//[[:space:]]/}"
+    if [[ -z "$extra" ]]; then
+        continue
+    fi
+    if [[ "$extra" != /dev/* || "$extra" == *..* ]]; then
+        echo "[ERROR] DEVICE_ACL_PATHS entries must be under /dev, got '${extra}'" >&2
+        exit 1
+    fi
+    device_globs+=("$extra")
+done
+
+granted=0
+failed=0
+
+grant() {
+    local node="$1"
+    # nullglob only drops patterns that hold a metacharacter, so a literal
+    # table entry for absent hardware arrives here verbatim. Warn only about
+    # nodes that exist and could not be granted.
+    if [[ ! -e "$node" ]]; then
+        return 0
+    fi
+    local spec="u:frigate:rw,u:go2rtc:rw"
+    # directories need traverse or nothing under them is reachable
+    if [[ -d "$node" ]]; then
+        spec="u:frigate:rwx,u:go2rtc:rwx"
+    fi
+    if setfacl -m "$spec" "$node" 2>/dev/null; then
+        granted=$((granted + 1))
+    else
+        failed=$((failed + 1))
+        echo "[WARN] could not grant device access on ${node}; see EXTRA_GROUPS in the non-root docs for the fallback"
+    fi
+}
+
+for glob in "${device_globs[@]}"; do
+    # shellcheck disable=SC2231
+    for node in $glob; do
+        grant "$node"
+    done
+done
+
+# USB devices re-enumerate (the Coral uploads firmware and reattaches as a new
+# node), so the directories also get a default ACL new nodes inherit. The
+# inherited grant is clamped by the creating mode's group bits, which is rw on
+# udev hosts (0664) and nothing on raw devtmpfs (0600); hardware-verified.
+if [[ -d /dev/bus/usb ]]; then
+    while IFS= read -r -d '' node; do
+        grant "$node"
+    done < <(find /dev/bus/usb -mindepth 1 -print0)
+    while IFS= read -r -d '' dir; do
+        setfacl -d -m "u:frigate:rw,u:go2rtc:rw" "$dir" 2>/dev/null || \
+            echo "[WARN] could not set a default ACL on ${dir}; a re-enumerating USB device may lose access"
+    done < <(find /dev/bus/usb -type d -print0)
+fi
+
+if [[ "$failed" -gt 0 ]]; then
+    echo "[INFO] device access: granted ${granted} node(s), ${failed} failed"
+elif [[ "$granted" -gt 0 ]]; then
+    echo "[INFO] device access: granted ${granted} node(s) to the runtime users"
+fi
@@ -0,0 +1 @@
+oneshot
@@ -0,0 +1 @@
+/etc/s6-overlay/s6-rc.d/init-devices/run
@@ -0,0 +1,104 @@
+#!/command/with-contenv bash
+# shellcheck shell=bash
+# Remap the frigate user to PUID/PGID and register EXTRA_GROUPS.
+# No-op when: started with --user (euid != 0), FRIGATE_RUN_AS_ROOT=true,
+# or PUID/PGID already match. FRIGATE_ROOT_SERVICES is validated here too.
+
+set -o errexit -o nounset -o pipefail
+
+if [[ "$(id -u)" -ne 0 ]]; then
+    # Started with docker --user; the host owns UID mapping entirely.
+    exit 0
+fi
+
+if [[ "${FRIGATE_RUN_AS_ROOT:-false}" == "true" ]]; then
+    if [[ -n "${FRIGATE_ROOT_SERVICES:-}" ]]; then
+        echo "[INFO] FRIGATE_RUN_AS_ROOT=true: ignoring FRIGATE_ROOT_SERVICES"
+    fi
+    echo "[INFO] FRIGATE_RUN_AS_ROOT=true: skipping user remapping"
+    exit 0
+fi
+
+# a typo must fail the boot, not silently drop a service to non-root
+if [[ -n "${FRIGATE_ROOT_SERVICES:-}" ]]; then
+    IFS=',' read -ra root_services <<< "${FRIGATE_ROOT_SERVICES}"
+    for entry in "${root_services[@]}"; do
+        entry="${entry//[[:space:]]/}"
+        if [[ -z "$entry" ]]; then
+            continue
+        fi
+        case "$entry" in
+            frigate|go2rtc|nginx) ;;
+            *)
+                echo "[ERROR] FRIGATE_ROOT_SERVICES contains unknown service '${entry}'; valid names are frigate, go2rtc, nginx" >&2
+                exit 1
+                ;;
+        esac
+    done
+fi
+
+puid="${PUID:-1000}"
+pgid="${PGID:-1000}"
+
+if ! [[ "$puid" =~ ^[0-9]+$ && "$pgid" =~ ^[0-9]+$ ]]; then
+    echo "[ERROR] PUID and PGID must be numeric, got '${puid}' and '${pgid}'" >&2
+    exit 1
+fi
+
+# Remapping to 0 would make the frigate user root, so every service would keep
+# full privilege while reporting a successful migration.
+if [[ "$puid" -eq 0 || "$pgid" -eq 0 ]]; then
+    echo "[ERROR] PUID/PGID 0 would run the services as root and defeat the privilege separation." >&2
+    echo "[ERROR] Set FRIGATE_RUN_AS_ROOT=true if you want to keep running as root." >&2
+    exit 1
+fi
+
+# Colliding with the go2rtc ids would merge the two users and collapse the
+# separation between the main process and the network-facing restreamer.
+go2rtc_uid="$(id -u go2rtc)"
+go2rtc_gid="$(id -g go2rtc)"
+if [[ "$puid" -eq "$go2rtc_uid" || "$pgid" -eq "$go2rtc_gid" ]]; then
+    echo "[ERROR] PUID/PGID must not equal the go2rtc service ids (${go2rtc_uid}:${go2rtc_gid})." >&2
+    exit 1
+fi
+
+current_uid="$(id -u frigate)"
+current_gid="$(id -g frigate)"
+
+if [[ "$puid" != "$current_uid" || "$pgid" != "$current_gid" ]]; then
+    if [[ ! -w /etc/passwd ]]; then
+        echo "[ERROR] PUID/PGID remapping needs a writable /etc and is not compatible with read_only: true." >&2
+        echo "[ERROR] Either remove read_only and keep PUID, or drop PUID/PGID and use docker's user: ${puid}:${pgid} instead." >&2
+        echo "[ERROR] See https://docs.frigate.video/configuration/non_root for the compatibility matrix." >&2
+        exit 1
+    fi
+    echo "[INFO] Remapping frigate user to ${puid}:${pgid}"
+    groupmod -o -g "$pgid" frigate
+    usermod -o -u "$puid" frigate
+fi
+
+# EXTRA_GROUPS: numeric host GIDs granting device access (e.g. host render/video)
+if [[ -n "${EXTRA_GROUPS:-}" ]]; then
+    # groupadd and usermod -aG both write /etc/group. Checked up front so a
+    # read-only rootfs reports the real problem instead of dying mid-loop.
+    if [[ ! -w /etc/group ]]; then
+        echo "[ERROR] EXTRA_GROUPS needs a writable /etc and is not compatible with read_only: true." >&2
+        echo "[ERROR] Use docker's group_add: with the same GIDs instead; it needs no writes inside the container." >&2
+        echo "[ERROR] See https://docs.frigate.video/configuration/non_root for the compatibility matrix." >&2
+        exit 1
+    fi
+
+    for gid in ${EXTRA_GROUPS//,/ }; do
+        if ! [[ "$gid" =~ ^[0-9]+$ ]] || [[ "$gid" -eq 0 ]]; then
+            echo "[ERROR] EXTRA_GROUPS must be nonzero numeric GIDs, got '${gid}'" >&2
+            exit 1
+        fi
+        if ! getent group "$gid" >/dev/null; then
+            groupadd -o -g "$gid" "frigate-extra-${gid}"
+        fi
+        group_name="$(getent group "$gid" | cut -d: -f1)"
+        usermod -aG "$group_name" frigate
+        usermod -aG "$group_name" go2rtc
+        echo "[INFO] Added frigate and go2rtc to supplementary group ${group_name} (gid ${gid})"
+    done
+fi
@@ -0,0 +1 @@
+oneshot
@@ -0,0 +1 @@
+/etc/s6-overlay/s6-rc.d/init-usermod/run
@@ -7,5 +7,12 @@ set -o errexit -o nounset -o pipefail
 dirs=(/dev/shm/logs/frigate /dev/shm/logs/go2rtc /dev/shm/logs/nginx /dev/shm/logs/certsync)

 mkdir -p "${dirs[@]}"
-chown nobody:nogroup "${dirs[@]}"
+
+# logutil-service drops s6-log to nobody, so the dirs must stay nobody-owned
+# in root mode. Under docker --user we are already the (only) target user,
+# chown would fail, and the plain s6-log fallback in the *-log services
+# writes as us (the mkdir above is sufficient, /dev/shm is 1777).
+if [[ "$(id -u)" -eq 0 ]]; then
+    chown nobody:nogroup "${dirs[@]}"
+fi
 chmod 02755 "${dirs[@]}"
@@ -1,4 +1,12 @@
 #!/command/with-contenv bash
 # shellcheck shell=bash

-exec logutil-service /dev/shm/logs/nginx
+if [[ "$(id -u)" -eq 0 ]]; then
+    # logutil-service drops to nobody and applies S6_LOGGING_SCRIPT
+    exec logutil-service /dev/shm/logs/nginx
+fi
+
+# Non-root (--user) fallback: logutil-service cannot change UID, so run
+# s6-log directly with the same directives S6_LOGGING_SCRIPT configures.
+# shellcheck disable=SC2086
+exec s6-log ${S6_LOGGING_SCRIPT:-T 1 n0 s10000000 T} /dev/shm/logs/nginx
@@ -2,4 +2,4 @@
 set -e

 # Wait for PID file to exist.
-while ! test -f /run/nginx.pid; do sleep 1; done
+while ! test -f /tmp/nginx/nginx.pid; do sleep 1; done
@@ -4,6 +4,13 @@

 set -o errexit -o nounset -o pipefail

+runs_as_root=0
+if [[ "$(id -u)" -eq 0 ]]; then
+    if [[ "${FRIGATE_RUN_AS_ROOT:-false}" == "true" ]] || /usr/local/bin/service-runs-as-root nginx; then
+        runs_as_root=1
+    fi
+fi
+
 # Logs should be sent to stdout so that s6 can collect them

 echo "[INFO] Starting NGINX..."
@@ -59,38 +66,105 @@ function set_worker_processes() {
        cpus=4
    fi

-    # we need to catch any errors because sed will fail if user has bind mounted a custom nginx file
-    sed -i "s/worker_processes auto;/worker_processes ${cpus};/" /usr/local/nginx/conf/nginx.conf || true
+    sed -i "s/worker_processes auto;/worker_processes ${cpus};/" /tmp/nginx/conf/nginx.conf
 }

+# Rebuilt root-owned every start: a symlink planted by the previously
+# unprivileged nginx would redirect the root cp/tempio writes below onto any
+# root file. rm does not traverse symlinks; the bare mkdir fails closed if raced.
+rm -rf /tmp/nginx
+mkdir /tmp/nginx
+mkdir -p /tmp/nginx/conf /tmp/nginx/client_body /tmp/nginx/proxy \
+         /tmp/nginx/fastcgi /tmp/nginx/uwsgi /tmp/nginx/scgi
+cp -r /usr/local/nginx/conf/. /tmp/nginx/conf/
+
 set_worker_processes

-# ensure the directory for ACME challenges exists
-mkdir -p /etc/letsencrypt/www
-
-# Create self signed certs if needed
+# TLS certs: user-mounted certs at /etc/letsencrypt/live/frigate (documented
+# contract) always win; otherwise fall back to a self-signed cert persisted in
+# /config/tls, which stays writable under a read-only root filesystem.
 letsencrypt_path=/etc/letsencrypt/live/frigate
-mkdir -p $letsencrypt_path
+selfsigned_path=/config/tls

-if [ ! \( -f "$letsencrypt_path/privkey.pem" -a -f "$letsencrypt_path/fullchain.pem" \) ]; then
-    echo "[INFO] No TLS certificate found. Generating a self signed certificate..."
-    openssl req -new -newkey rsa:4096 -days 365 -nodes -x509 \
-        -subj "/O=FRIGATE DEFAULT CERT/CN=*" \
-        -keyout "$letsencrypt_path/privkey.pem" -out "$letsencrypt_path/fullchain.pem" 2>/dev/null
+if [ -f "$letsencrypt_path/privkey.pem" ] && [ -f "$letsencrypt_path/fullchain.pem" ]; then
+    cert_path="$letsencrypt_path"
+else
+    cert_path="$selfsigned_path"
+
+    # Root writing into /config follows any symlink planted there, and /config
+    # is owned by whoever the host mount says, not by root. Generate as the
+    # runtime user wherever we are going to drop to it; the escape hatch keeps
+    # root all the way through, so that path is refused rather than dropped.
+    gen=()
+    if [[ "$(id -u)" -eq 0 && "${FRIGATE_RUN_AS_ROOT:-false}" != "true" ]]; then
+        gen=(s6-setuidgid frigate)
+    elif [[ "$(id -u)" -eq 0 ]]; then
+        for link in "$cert_path" "$cert_path/privkey.pem" "$cert_path/fullchain.pem"; do
+            if [[ -L "$link" ]]; then
+                echo "[ERROR] ${link} is a symlink; refusing to write TLS material through it as root" >&2
+                exit 1
+            fi
+        done
+    fi
+
+    "${gen[@]}" mkdir -p "$cert_path"
+
+    if [ ! \( -f "$cert_path/privkey.pem" -a -f "$cert_path/fullchain.pem" \) ]; then
+        echo "[INFO] No TLS certificate found. Generating a self signed certificate..."
+        "${gen[@]}" openssl req -new -newkey rsa:4096 -days 365 -nodes -x509 \
+            -subj "/O=FRIGATE DEFAULT CERT/CN=*" \
+            -keyout "$cert_path/privkey.pem" -out "$cert_path/fullchain.pem" 2>/dev/null
+        "${gen[@]}" chmod 600 "$cert_path/privkey.pem"
+        "${gen[@]}" chmod 644 "$cert_path/fullchain.pem"
+    fi
 fi

-# build templates for optional FRIGATE_BASE_PATH environment variable
-python3 /usr/local/nginx/get_nginx_settings.py | \
-    tempio -template /usr/local/nginx/templates/base_path.gotmpl \
-           -out /usr/local/nginx/conf/base_path.conf
+# ACME challenges are only served from a writable rootfs; skipping the mkdir
+# under read_only leaves the location 404ing, which is the same as unused
+mkdir -p /etc/letsencrypt/www 2>/dev/null || true

-# build templates for additional network settings
-python3 /usr/local/nginx/get_nginx_settings.py | \
+# nginx settings are read once; both templates consume them
+nginx_settings=$(python3 /usr/local/nginx/get_nginx_settings.py)
+
+# build templates for optional FRIGATE_BASE_PATH environment variable
+echo "$nginx_settings" | \
+    tempio -template /usr/local/nginx/templates/base_path.gotmpl \
+           -out /tmp/nginx/conf/base_path.conf
+
+# build templates for additional network settings; listen.conf is the only
+# template that needs the resolved cert directory
+echo "$nginx_settings" | \
+    jq --arg p "$cert_path" '.tls.cert_path = $p' | \
    tempio -template /usr/local/nginx/templates/listen.gotmpl \
-           -out /usr/local/nginx/conf/listen.conf
+           -out /tmp/nginx/conf/listen.conf
+
+if [[ "$(id -u)" -eq 0 && "$runs_as_root" -eq 0 ]]; then
+    chown -R frigate:frigate /tmp/nginx
+    # heal the cache: a root `nginx -t` chowns every cycle path to the `user` directive user
+    if [ -d /dev/shm/nginx_cache ]; then
+        chown -R frigate:frigate /dev/shm/nginx_cache
+    fi
+    # nginx reopens /dev/stdout by path for its logs, and s6 made the pipe
+    # root-owned 0600; without this the non-root master exits EACCES
+    chown frigate /dev/stdout
+    # Only mounted certs need handing over; the self-signed pair is already
+    # owned by the runtime user that generated it. Never chown the /config copy:
+    # chown follows symlinks, so it would retarget onto any root file the
+    # runtime user pointed it at. Tolerant because mounted certs may be :ro.
+    if [ "$cert_path" = "$letsencrypt_path" ] && [ -f "$cert_path/privkey.pem" ]; then
+        chown frigate:frigate "$cert_path/privkey.pem" "$cert_path/fullchain.pem" 2>/dev/null || true
+    fi
+fi

 # Replace the bash process with the NGINX process, redirecting stderr to stdout
 exec 2>&1
-exec \
-    s6-notifyoncheck -t 30000 -n 1 \
-    nginx
+# -e stderr: the compiled-in error log path is not writable by the runtime user
+if [[ "$(id -u)" -ne 0 || "$runs_as_root" -eq 1 ]]; then
+    exec \
+        s6-notifyoncheck -t 30000 -n 1 \
+        nginx -e stderr -c /tmp/nginx/conf/nginx.conf
+else
+    exec \
+        s6-notifyoncheck -t 30000 -n 1 \
+        s6-setuidgid frigate nginx -e stderr -c /tmp/nginx/conf/nginx.conf
+fi
@@ -144,3 +144,66 @@ rm -f /dev/shm/.frigate-is-stopping

 migrate_addon_config_dir
 migrate_db_from_media_to_config
+
+# Align volume ownership with the runtime user (one sweep per PUID/schema
+# change, guarded by the sentinel; see fix-ownership). The escape hatch
+# deletes the sentinel instead: ownership is never mutated while it is on,
+# so the next non-root boot must re-sweep whatever root created meanwhile.
+if [[ "$(id -u)" -eq 0 ]]; then
+    if [[ "${FRIGATE_RUN_AS_ROOT:-false}" == "true" ]]; then
+        rm -f /config/.permissions_version
+    else
+        # Only when a mount backs /media/frigate itself: under a parent /media
+        # mount, a dedicated volume added later would be shadowed and skipped
+        sentinel_args=(--sentinel /config/.permissions_version)
+        root_services_mode=""
+        if [[ -n "${FRIGATE_ROOT_SERVICES:-}" ]]; then
+            # || true: an all-empty list (",") fails grep -v and errexit would kill the boot
+            root_services_mode=$(tr ',' '\n' <<< "${FRIGATE_ROOT_SERVICES//[[:space:]]/}" | grep -v '^$' | sort -u | paste -sd, - || true)
+            if [[ -n "$root_services_mode" ]]; then
+                sentinel_args+=(--mode "$root_services_mode")
+            fi
+        fi
+        if ! awk '$2 == "/media/frigate" || $2 ~ /^\/media\/frigate\//' /proc/mounts | grep -q .; then
+            sentinel_args=()
+        fi
+        /usr/local/bin/fix-ownership "${sentinel_args[@]}" \
+            "${PUID:-1000}" "${PGID:-1000}" /config /media/frigate
+
+        # Root services write clips stragglers and caches mid-run; realign the
+        # small trees every boot. Recordings are chowned at create instead.
+        if [[ -n "$root_services_mode" ]]; then
+            # only sweep what exists; clips and exports appear after the first run
+            boot_sweep_paths=(/config)
+            for extra in /media/frigate/clips /media/frigate/exports; do
+                if [[ -d "$extra" ]]; then
+                    boot_sweep_paths+=("$extra")
+                fi
+            done
+            /usr/local/bin/fix-ownership \
+                "${PUID:-1000}" "${PGID:-1000}" "${boot_sweep_paths[@]}"
+        fi
+    fi
+fi
+
+# Must stay after the sweep, which reads an absent /media/frigate as an
+# unmounted volume rather than a swept one
+if [[ "$(id -u)" -eq 0 && ! -d /media/frigate ]]; then
+    # The image does not ship this directory, so on a read-only rootfs it can
+    # only come from a mount. Report that rather than failing under errexit.
+    if ! mkdir -p /media/frigate 2>/dev/null; then
+        echo "[ERROR] /media/frigate does not exist and could not be created, which is what happens with read_only: true and no recordings volume." >&2
+        echo "[ERROR] Mount a volume at /media/frigate." >&2
+        echo "[ERROR] See https://docs.frigate.video/configuration/non_root for the compatibility matrix." >&2
+        exit 1
+    fi
+    if [[ "${FRIGATE_RUN_AS_ROOT:-false}" != "true" ]]; then
+        chown "${PUID:-1000}:${PGID:-1000}" /media/frigate
+    fi
+fi
+
+# usually a tmpfs mount: root-owned on arrival and outside the swept volumes
+if [[ "$(id -u)" -eq 0 && "${FRIGATE_RUN_AS_ROOT:-false}" != "true" ]]; then
+    mkdir -p /tmp/cache
+    chown "${PUID:-1000}:${PGID:-1000}" /tmp/cache
+fi
@@ -0,0 +1,194 @@
+#!/bin/bash
+# Single source of truth for aligning volume ownership with the runtime user.
+#
+# Usage: fix-ownership [--dry-run] [--sentinel FILE] [--mode STRING] UID GID PATH [PATH...]
+#
+#   --dry-run    report what would change, touch nothing
+#   --sentinel   skip entirely when FILE already records "SCHEMA:UID:GID";
+#                write it after a successful run (used by the boot path so
+#                multi-TB volumes are swept once per UID/schema change, not
+#                on every boot)
+#   --mode       append STRING to the sentinel, so changing it re-sweeps once
+#
+# Only files whose uid OR gid differs are touched, so re-runs are cheap.
+# lost+found is skipped: fsck fills it with root-only recovered fragments.
+# Top-level /config additionally grants group frigate-data TRAVERSE ONLY
+# (g+rx) so the separate go2rtc user can reach its pre-created HomeKit file
+# on hosts where /config is mounted 0700. Never g+w: directory write means
+# unlink rights over frigate.db/config.yml, and would let a compromised
+# go2rtc plant /config/go2rtc, which the go2rtc run script executes
+# preferentially, as root under the escape hatch.
+
+set -o errexit -o nounset -o pipefail
+
+# Permissions-layout epoch. Bump to force a one-time re-sweep on upgrade
+# (e.g. when the privilege-drop release must capture files created as root
+# since the previous sweep).
+schema=2
+
+dry_run=0
+sentinel=""
+mode=""
+
+while [[ "${1:-}" == --* ]]; do
+    case "$1" in
+        --dry-run) dry_run=1; shift ;;
+        --sentinel)
+            if [[ -z "${2:-}" ]]; then
+                echo "[ERROR] fix-ownership: --sentinel requires a file argument" >&2
+                exit 2
+            fi
+            sentinel="$2"; shift 2 ;;
+        --mode)
+            if [[ -z "${2:-}" ]]; then
+                echo "[ERROR] fix-ownership: --mode requires a value" >&2
+                exit 2
+            fi
+            mode="$2"; shift 2 ;;
+        *) echo "[ERROR] fix-ownership: unknown option $1" >&2; exit 2 ;;
+    esac
+done
+
+if [[ $# -lt 3 ]]; then
+    echo "Usage: fix-ownership [--dry-run] [--sentinel FILE] [--mode STRING] UID GID PATH..." >&2
+    exit 2
+fi
+
+target_uid="$1"
+target_gid="$2"
+shift 2
+
+if [[ "$(id -u)" -ne 0 ]]; then
+    echo "[INFO] fix-ownership: not running as root, skipping (ownership is managed by the host in --user mode)"
+    exit 0
+fi
+
+# The list folds into the sentinel so entering or leaving a granular root mode
+# re-sweeps once, catching whatever the other ownership mechanisms missed.
+sentinel_content="${schema}:${target_uid}:${target_gid}"
+if [[ -n "$mode" ]]; then
+    sentinel_content="${sentinel_content}:${mode}"
+fi
+
+# safe-sentinel reports only a root-owned regular file, so a forged or
+# symlinked sentinel in the runtime-user-owned /config can't suppress the sweep
+if [[ "$dry_run" -eq 0 && -n "$sentinel" ]]; then
+    if existing=$(/usr/local/bin/safe-sentinel read "$sentinel" 2>/dev/null) && \
+        [[ "$existing" == "$sentinel_content" ]]; then
+        echo "[INFO] fix-ownership: ${target_uid}:${target_gid} (schema ${schema}) already applied, skipping"
+        exit 0
+    fi
+fi
+
+# A sweep that could not chown everything must not be recorded as complete:
+# the sentinel would make every later boot skip it and the entries would stay
+# unreachable once services run unprivileged.
+swept_clean=1
+
+# Entries another mechanism deliberately owns. Chowning them undoes that work
+# and leaves the same "mismatch" waiting for the next boot, so /config could
+# never report itself clean: /config is chgrp'd to frigate-data below so go2rtc
+# can traverse it, and the HomeKit file is handed to the go2rtc user by the
+# go2rtc service. Only the GROUP on /config is exempt; a root-owned /config
+# must still be chowned or the runtime user cannot write there at all.
+# Shared by the counting and the chowning walk so the two cannot disagree.
+mismatch_expr=(
+    "(" -not -uid "$target_uid"
+        -o "(" -not -gid "$target_gid" -a ! -path /config ")"
+    ")"
+    -a ! -path /config/go2rtc_homekit.yml
+)
+if [[ -n "$sentinel" ]]; then
+    # safe-sentinel keeps the sentinel root-owned on purpose and rejects one
+    # owned by anybody else, so chowning it here would suppress the skip and
+    # make every boot re-sweep. Only the trailing write puts it back today.
+    mismatch_expr+=(-a ! -path "$sentinel")
+fi
+
+for path in "$@"; do
+    # An absent root is an incomplete sweep, not a finished one: /media/frigate
+    # is not in the image, so a boot before the volume is mounted would
+    # otherwise record success and the volume would never be swept once added.
+    if [[ ! -d "$path" ]]; then
+        swept_clean=0
+        echo "[WARN] fix-ownership: $path does not exist, skipping; will retry on next boot"
+        continue
+    fi
+
+    echo "[INFO] fix-ownership: scanning ${path} for ownership mismatches; this may take a while on large filesystems"
+
+    # find may fail mid-walk on a live volume (file deleted under it) or on a
+    # stale mount. Tolerate it rather than aborting under errexit, but never
+    # read a failed scan as "nothing to do": that would record the sweep as
+    # complete without having looked.
+    if ! count=$(find "$path" -name lost+found -prune -o "${mismatch_expr[@]}" -printf '.' 2>/dev/null | wc -c); then
+        swept_clean=0
+        echo "[WARN] fix-ownership: could not scan ${path}; will retry on next boot"
+        continue
+    fi
+
+    if [[ "$count" -eq 0 ]]; then
+        echo "[INFO] fix-ownership: $path already owned by ${target_uid}:${target_gid}, nothing to do"
+        continue
+    fi
+
+    # find does not descend symlinks and chown -h retargets the link itself, so
+    # anything behind a symlinked directory is outside this sweep. Following
+    # them is not an option: a link could walk the chown out of the volume.
+    if [[ -n "$(find "$path" -type l -xtype d -print -quit 2>/dev/null)" ]]; then
+        echo "[WARN] fix-ownership: ${path} contains symlinked directories; ownership behind them is not managed and must be aligned by hand"
+    fi
+
+    echo "[WARN] fix-ownership: adjusting ownership of ${count} entries under ${path}"
+    if [[ "$dry_run" -eq 1 ]]; then
+        echo "[INFO] fix-ownership: dry run, not changing ${path}"
+        continue
+    fi
+
+    # -execdir chowns from the entry's own directory, so a parent swapped for a
+    # symlink mid-walk can't redirect the chown out of the volume
+    started=$SECONDS
+    if find "$path" -name lost+found -prune -o "${mismatch_expr[@]}" \
+        -print -execdir chown -h "${target_uid}:${target_gid}" {} + \
+        | awk -v total="$count" -v path="$path" '
+            BEGIN { next_pct = 5 }
+            {
+                pct = int(NR * 100 / total)
+                if (pct > 100) pct = 100
+                if (pct >= next_pct) {
+                    printf "[INFO] fix-ownership: %s %d%% (%d/%d entries)\n", path, pct, NR, total
+                    # mawk block-buffers to a pipe; without fflush the whole
+                    # progress log arrives at once
+                    fflush()
+                    while (next_pct <= pct) next_pct += 5
+                }
+            }'; then
+        elapsed=$((SECONDS - started))
+        if [[ "$elapsed" -ge 60 ]]; then
+            elapsed="$((elapsed / 60))m $((elapsed % 60))s"
+        else
+            elapsed="${elapsed}s"
+        fi
+        echo "[INFO] fix-ownership: finished ${path} in ${elapsed}"
+    else
+        swept_clean=0
+        echo "[WARN] fix-ownership: some entries under ${path} could not be updated (deleted mid-sweep or chown denied); will retry on next mismatch"
+    fi
+done
+
+# go2rtc (separate user) must be able to REACH its HomeKit state in /config.
+# Write access is per-file, not per-directory: go2rtc's PatchConfig rewrites
+# the first -config file via os.WriteFile (in-place truncate, no rename,
+# verified against go2rtc v1.9.14 internal/app/config.go), and the file is
+# always pre-created by setup_homekit_config before go2rtc starts, so
+# O_CREATE never needs directory write. See header comment for why g+w is
+# forbidden here.
+if [[ "$dry_run" -eq 0 && -d /config ]]; then
+    chgrp frigate-data /config 2>/dev/null || true
+    chmod g+rx /config 2>/dev/null || true
+fi
+
+if [[ "$dry_run" -eq 0 && -n "$sentinel" && "$swept_clean" -eq 1 ]]; then
+    /usr/local/bin/safe-sentinel write "$sentinel" "$sentinel_content" || \
+        echo "[WARN] fix-ownership: could not write ${sentinel}; the sweep will run again on next boot"
+fi
@@ -0,0 +1,74 @@
+#!/usr/bin/env python3
+"""Read or write the ownership sweep sentinel without following symlinks.
+
+The sentinel lives in /config, which the unprivileged runtime user owns, so it
+can be swapped for a symlink. read trusts only a root-owned regular file; write
+never follows a symlink or fifo onto another file.
+
+Usage:
+  safe-sentinel read PATH            print content, exit 0 only if root-owned regular file
+  safe-sentinel write PATH CONTENT   write CONTENT to a regular file at PATH
+"""
+
+import errno
+import os
+import stat
+import sys
+
+MODE = 0o644
+
+
+def do_read(path: str) -> int:
+    try:
+        fd = os.open(path, os.O_RDONLY | os.O_NOFOLLOW)
+    except OSError:
+        return 1
+    try:
+        st = os.fstat(fd)
+        if not stat.S_ISREG(st.st_mode) or st.st_uid != 0:
+            return 1
+        sys.stdout.buffer.write(os.read(fd, 4096))
+    finally:
+        os.close(fd)
+    return 0
+
+
+def do_write(path: str, content: str) -> int:
+    # O_NONBLOCK so a fifo fails fast (ENXIO) instead of blocking the open.
+    flags = os.O_WRONLY | os.O_CREAT | os.O_NOFOLLOW | os.O_NONBLOCK
+    replace = (errno.ELOOP, errno.ENXIO)
+    try:
+        fd = os.open(path, flags, MODE)
+        if not stat.S_ISREG(os.fstat(fd).st_mode):
+            os.close(fd)
+            raise OSError(errno.ELOOP, "not a regular file")
+    except OSError as err:
+        if err.errno not in replace:
+            raise
+        os.unlink(path)
+        fd = os.open(path, flags | os.O_EXCL, MODE)
+    try:
+        os.ftruncate(fd, 0)
+        os.write(fd, content.encode())
+        # keep it root-owned so a later sweep that chowned the old sentinel to
+        # the runtime user can't make the next read reject and re-sweep
+        os.fchown(fd, 0, 0)
+    finally:
+        os.close(fd)
+    return 0
+
+
+def main(argv: list[str]) -> int:
+    if len(argv) == 3 and argv[1] == "read":
+        return do_read(argv[2])
+    if len(argv) == 4 and argv[1] == "write":
+        try:
+            return do_write(argv[2], argv[3])
+        except OSError:
+            return 1
+    print("usage: safe-sentinel read PATH | write PATH CONTENT", file=sys.stderr)
+    return 2
+
+
+if __name__ == "__main__":
+    sys.exit(main(sys.argv))
@@ -0,0 +1,18 @@
+#!/bin/bash
+# Exit 0 when FRIGATE_ROOT_SERVICES names the given service. Membership only:
+# the euid and FRIGATE_RUN_AS_ROOT checks stay in the callers.
+#
+# Usage: service-runs-as-root SERVICE
+
+set -o nounset
+
+service="${1:?usage: service-runs-as-root SERVICE}"
+
+IFS=',' read -ra entries <<< "${FRIGATE_ROOT_SERVICES:-}"
+for entry in "${entries[@]}"; do
+    entry="${entry//[[:space:]]/}"
+    if [[ "$entry" == "$service" ]]; then
+        exit 0
+    fi
+done
+exit 1
@@ -3,13 +3,12 @@
 import json
 import os
 import sys
-from pathlib import Path
 from typing import Any

 from ruamel.yaml import YAML

 sys.path.insert(0, "/opt/frigate")
-from frigate.config.env import substitute_frigate_vars
+from frigate.config.env import apply_config_env_vars, substitute_frigate_vars
 from frigate.const import (
    BIRDSEYE_PIPE,
    LIBAVFORMAT_VERSION_MAJOR,
@@ -25,15 +24,6 @@ sys.path.remove("/opt/frigate")

 yaml = YAML()

-FRIGATE_ENV_VARS = {k: v for k, v in os.environ.items() if k.startswith("FRIGATE_")}
-# read docker secret files as env vars too
-if os.path.isdir("/run/secrets"):
-    for secret_file in os.listdir("/run/secrets"):
-        if secret_file.startswith("FRIGATE_"):
-            FRIGATE_ENV_VARS[secret_file] = (
-                Path(os.path.join("/run/secrets", secret_file)).read_text().strip()
-            )
-
 config_file = find_config_file()

 try:
@@ -47,6 +37,20 @@ try:
 except FileNotFoundError:
    config: dict[str, Any] = {}

+# No validator runs here, so install environment_vars ourselves. FRIGATE_
+# names only: anything else lands in os.environ, where the exec gate reads
+# GO2RTC_ALLOW_ARBITRARY_EXEC.
+config_env_vars = config.get("environment_vars")
+apply_config_env_vars(
+    {
+        key: value
+        for key, value in config_env_vars.items()
+        if str(key).startswith("FRIGATE_")
+    }
+    if isinstance(config_env_vars, dict)
+    else {}
+)
+
 go2rtc_config: dict[str, Any] = config.get("go2rtc", {})

 # Need to enable CORS for go2rtc so the frigate integration / card work automatically
@@ -113,7 +117,7 @@ for name in list(go2rtc_config.get("streams", {})):

    if isinstance(stream, str):
        try:
-            formatted_stream = stream.format(**FRIGATE_ENV_VARS)
+            formatted_stream = substitute_frigate_vars(stream)
            if is_restricted_go2rtc_source(formatted_stream):
                print(
                    f"[ERROR] Stream '{name}' uses a restricted source (echo/expr/exec) which is disabled by default for security. "
@@ -122,7 +126,7 @@ for name in list(go2rtc_config.get("streams", {})):
                del go2rtc_config["streams"][name]
                continue
            go2rtc_config["streams"][name] = formatted_stream
-        except KeyError as e:
+        except ValueError as e:
            print(
                "[ERROR] Invalid substitution found, see https://docs.frigate.video/configuration/restream#advanced-restream-configurations for more info."
            )
@@ -132,7 +136,7 @@ for name in list(go2rtc_config.get("streams", {})):
        filtered_streams = []
        for i, stream_item in enumerate(stream):
            try:
-                formatted_stream = stream_item.format(**FRIGATE_ENV_VARS)
+                formatted_stream = substitute_frigate_vars(stream_item)
                if is_restricted_go2rtc_source(formatted_stream):
                    print(
                        f"[ERROR] Stream '{name}' item {i + 1} uses a restricted source (echo/expr/exec) which is disabled by default for security. "
@@ -141,7 +145,7 @@ for name in list(go2rtc_config.get("streams", {})):
                    continue

                filtered_streams.append(formatted_stream)
-            except KeyError as e:
+            except ValueError as e:
                print(
                    "[ERROR] Invalid substitution found, see https://docs.frigate.video/configuration/restream#advanced-restream-configurations for more info."
                )
@@ -185,3 +189,6 @@ if config.get("birdseye", {}).get("restream", False):
 # Write go2rtc_config to /dev/shm/go2rtc.yaml
 with open("/dev/shm/go2rtc.yaml", "w") as f:
    yaml.dump(go2rtc_config, f)
+
+# config contains camera credentials; do not leave it world-readable
+os.chmod("/dev/shm/go2rtc.yaml", 0o640)
@@ -0,0 +1,107 @@
+"""Normalize the go2rtc HomeKit file and hand it to go2rtc, as root.
+
+Runs before the drop. The file is in the runtime-user-owned /config, so a
+planted symlink could redirect the root write or chown onto another file;
+every operation goes through an O_NOFOLLOW fd to prevent that.
+
+Usage: prepare_homekit.py PATH [--chown]
+"""
+
+import errno
+import grp
+import io
+import os
+import pwd
+import stat
+import sys
+
+from ruamel.yaml import YAML
+
+RUNTIME_OWNER = "go2rtc"
+SHARED_GROUP = "frigate-data"
+MODE = 0o664
+MAX_BYTES = 10 * 1024 * 1024
+
+
+def open_nofollow(path: str) -> int:
+    """Return an fd to a regular file at path, never following a symlink."""
+    flags = os.O_RDWR | os.O_CREAT | os.O_NOFOLLOW
+    try:
+        fd = os.open(path, flags, MODE)
+    except OSError as err:
+        if err.errno != errno.ELOOP:
+            raise
+        os.unlink(path)
+        return os.open(path, flags | os.O_EXCL, MODE)
+
+    # A fifo or other non-regular file would hang or misbehave on read; replace it.
+    if not stat.S_ISREG(os.fstat(fd).st_mode):
+        os.close(fd)
+        os.unlink(path)
+        return os.open(path, flags | os.O_EXCL, MODE)
+    return fd
+
+
+def normalize(content: str) -> str:
+    """Keep only the homekit section, matching the previous yq/jq behavior."""
+    yaml = YAML(typ="safe")
+    try:
+        data = yaml.load(content)
+    except Exception:
+        return ""
+
+    if not isinstance(data, dict) or "homekit" not in data:
+        return ""
+
+    buf = io.StringIO()
+    yaml.dump({"homekit": data["homekit"]}, buf)
+    return buf.getvalue()
+
+
+def main() -> int:
+    if len(sys.argv) < 2:
+        print("[ERROR] prepare_homekit: PATH is required", file=sys.stderr)
+        return 2
+
+    path = sys.argv[1]
+    do_chown = "--chown" in sys.argv[2:]
+
+    try:
+        fd = open_nofollow(path)
+    except PermissionError:
+        print(
+            f"[WARN] {path} is not writable by uid {os.geteuid()}, so HomeKit "
+            "pairing changes will not persist. It is owned by the go2rtc user "
+            "from an earlier run in the default mode. To fix, on the host run: "
+            f"chown {os.geteuid()}:{os.getegid()} <your config dir>/{os.path.basename(path)}"
+        )
+        return 0
+
+    try:
+        content = os.read(fd, MAX_BYTES).decode("utf-8", "replace")
+        normalized = normalize(content)
+        os.ftruncate(fd, 0)
+        os.lseek(fd, 0, os.SEEK_SET)
+        os.write(fd, normalized.encode("utf-8"))
+
+        if do_chown:
+            # tolerate a chown-refusing mount (NFS root_squash): pairing
+            # persistence degrades, the service does not
+            try:
+                uid = pwd.getpwnam(RUNTIME_OWNER).pw_uid
+                gid = grp.getgrnam(SHARED_GROUP).gr_gid
+                os.fchown(fd, uid, gid)
+                os.fchmod(fd, MODE)
+            except (KeyError, OSError):
+                print(
+                    f"[WARN] Could not hand {path} to the go2rtc user; "
+                    "HomeKit pairing changes may not persist"
+                )
+    finally:
+        os.close(fd)
+
+    return 0
+
+
+if __name__ == "__main__":
+    sys.exit(main())
@@ -1,9 +1,13 @@
+# Loaded with -c from the /tmp/nginx/conf copy: relative includes follow the -c
+# file, all other path directives follow --prefix and must stay absolute.
+
 daemon off;
+# ignored by a non-root master; keeps workers root under FRIGATE_RUN_AS_ROOT
 user root;
 worker_processes auto;

 error_log /dev/stdout warn;
-pid /var/run/nginx.pid;
+pid /tmp/nginx/nginx.pid;

 events {
    worker_connections 1024;
@@ -11,6 +15,13 @@ events {

 http {
    map_hash_bucket_size 256;
+    server_tokens off;
+
+    client_body_temp_path /tmp/nginx/client_body;
+    proxy_temp_path /tmp/nginx/proxy;
+    fastcgi_temp_path /tmp/nginx/fastcgi;
+    uwsgi_temp_path /tmp/nginx/uwsgi;
+    scgi_temp_path /tmp/nginx/scgi;

    include mime.types;
    default_type application/octet-stream;
@@ -62,6 +73,7 @@ http {

    server {
        include listen.conf;
+        include security_headers.conf;

        # enable HTTP/2 for TLS connections to eliminate browser 6-connection limit
        http2 on;
@@ -75,6 +87,12 @@ http {
        vod_align_segments_to_key_frames on;
        vod_manifest_segment_durations_mode accurate;
        vod_ignore_edit_list on;
+        # short leading segments at each playlist start; sources start at
+        # the seek target, so the ladder applies to every seek. Only
+        # effective when clips declare real keyFrameDurations
+        vod_bootstrap_segment_durations 1000;
+        vod_bootstrap_segment_durations 2000;
+        vod_bootstrap_segment_durations 4000;
        vod_segment_duration 10000;

        # MPEG-TS settings (not used when fMP4 is enabled, kept for reference)
@@ -114,25 +132,23 @@ http {
            # Smaller segments, faster generation, better browser compatibility
            vod_hls_container_format fmp4;

+            # fMP4 playlists use EXT-X-MAP, which requires HLS protocol
+            # version 6 (RFC 8216 section 7); the module default is 4
+            vod_hls_version 6;
+
            secure_token $args;
            secure_token_types application/vnd.apple.mpegurl;

+            include security_headers.conf;
            add_header Cache-Control "no-store";
            expires off;

            keepalive_disable safari;
-
-            # vod module returns 502 for non-existent media
-            # https://github.com/kaltura/nginx-vod-module/issues/468
-            error_page 502 =404 /vod-not-found;
-        }
-
-        location = /vod-not-found {
-            return 404;
        }

        location /stream/ {
            include auth_request.conf;
+            include security_headers.conf;
            add_header Cache-Control "no-store";
            expires off;

@@ -154,6 +170,7 @@ http {
            }

            expires 7d;
+            include security_headers.conf;
            add_header Cache-Control "public";
            autoindex on;
            root /media/frigate;
@@ -246,6 +263,7 @@ http {

        location /api/ {
            include auth_request.conf;
+            include security_headers.conf;
            add_header Cache-Control "no-store";
            expires off;
            proxy_pass http://frigate_api/;
@@ -312,29 +330,34 @@ http {

        location / {
            # do not require auth for static assets
+            include security_headers.conf;
            add_header Cache-Control "no-store";
            expires off;

            location /assets/ {
                access_log off;
                expires 1y;
+                include security_headers.conf;
                add_header Cache-Control "public";
            }

            location /fonts/ {
                access_log off;
                expires 1y;
+                include security_headers.conf;
                add_header Cache-Control "public";
            }

            location /locales/ {
                access_log off;
+                include security_headers.conf;
                add_header Cache-Control "public";
            }

            location ~ ^/.*-([A-Za-z0-9]+)\.webmanifest$ {
                access_log off;
                expires 1y;
+                include security_headers.conf;
                add_header Cache-Control "public";
                default_type application/json;
                proxy_set_header Accept-Encoding "";
@@ -0,0 +1,5 @@
+# Deliberately no X-Frame-Options or CSP frame-ancestors: HA's Webpage card and
+# iframe panels frame Frigate cross-origin, and either would break them
+# silently. Bind-mount this file to add your own.
+add_header X-Content-Type-Options "nosniff" always;
+add_header Referrer-Policy "strict-origin-when-cross-origin" always;
@@ -8,8 +8,8 @@ listen {{ .listen.internal }};
    listen {{ .listen.external }} ssl;
    {{ if .ipv6.enabled }}listen [::]:{{ .listen.external_port }} ssl;{{ end }}

-    ssl_certificate /etc/letsencrypt/live/frigate/fullchain.pem;
-    ssl_certificate_key /etc/letsencrypt/live/frigate/privkey.pem;
+    ssl_certificate {{ .tls.cert_path }}/fullchain.pem;
+    ssl_certificate_key {{ .tls.cert_path }}/privkey.pem;

    # generated 2024-06-01, Mozilla Guideline v5.7, nginx 1.25.3, OpenSSL 1.1.1w, modern configuration, no OCSP
    # https://ssl-config.mozilla.org/#server=nginx&version=1.25.3&config=modern&openssl=1.1.1w&ocsp=false&guideline=5.7
@@ -0,0 +1,55 @@
+#!/bin/bash
+# Ahead-of-time volume ownership migration for switching Frigate to non-root.
+# Run from the host BEFORE enabling PUID/PGID or --user:
+#
+#   ./fix-permissions.sh [--dry-run] <config_dir> <media_dir> [PUID] [PGID]
+#
+# Wraps the image's fix-ownership helper so there is exactly one
+# implementation of the chown logic. Requires an image that contains the
+# helper (any release that includes non-root support).
+
+set -o errexit -o nounset -o pipefail
+
+IMAGE="${FRIGATE_IMAGE:-ghcr.io/blakeblackshear/frigate:stable}"
+
+dry_run_flag=""
+if [[ "${1:-}" == "--dry-run" ]]; then
+    dry_run_flag="--dry-run"
+    shift
+fi
+
+if [[ $# -lt 2 ]]; then
+    echo "Usage: $0 [--dry-run] <config_dir> <media_dir> [PUID] [PGID]" >&2
+    exit 2
+fi
+
+config_dir="$1"
+media_dir="$2"
+puid="${3:-1000}"
+pgid="${4:-1000}"
+
+# The ids are interpolated into the container's bash -c source below, so
+# anything but digits would be reparsed as shell rather than passed through
+if ! [[ "$puid" =~ ^[0-9]+$ && "$pgid" =~ ^[0-9]+$ ]]; then
+    echo "[ERROR] PUID and PGID must be numeric, got '${puid}' and '${pgid}'" >&2
+    exit 2
+fi
+
+echo "[INFO] Using image ${IMAGE} (override with FRIGATE_IMAGE=...)"
+if ! docker image inspect "${IMAGE}" >/dev/null 2>&1; then
+    echo "[INFO] ${IMAGE} is not present locally and has to be pulled first; this may take a while"
+fi
+
+if [[ -n "$dry_run_flag" ]]; then
+    echo "[INFO] Dry run: reporting what would change under ${config_dir} and ${media_dir}, changing nothing"
+else
+    echo "[INFO] Aligning ${config_dir} and ${media_dir} to ${puid}:${pgid}; this may take a while on large filesystems"
+fi
+
+# shellcheck disable=SC2086
+docker run --rm \
+    -v "${config_dir}:/config" \
+    -v "${media_dir}:/media/frigate" \
+    --entrypoint bash \
+    "${IMAGE}" \
+    -c "command -v fix-ownership >/dev/null || { echo '[ERROR] this Frigate image predates non-root support; set FRIGATE_IMAGE to a release that includes it' >&2; exit 1; }; exec fix-ownership ${dry_run_flag} ${puid} ${pgid} /config /media/frigate"
@@ -13,6 +13,16 @@ TRT_VER=${TRT_VER:-$(cat /etc/TENSORRT_VER)}
 OUTPUT_FOLDER="${MODEL_CACHE_DIR}/${TRT_VER}"
 YOLO_MODELS=${YOLO_MODELS:-""}

+# This runs as root after prepare's sentinel-guarded sweep, so the dirs and
+# engines it creates below are the runtime user's to fix up, on every exit path
+function hand_off_ownership() {
+    if [[ "$(id -u)" -eq 0 && "${FRIGATE_RUN_AS_ROOT:-false}" != "true" ]]; then
+        /usr/local/bin/fix-ownership "${PUID:-1000}" "${PGID:-1000}" \
+            /config/model_cache "${MODEL_CACHE_DIR}"
+    fi
+}
+trap hand_off_ownership EXIT
+
 # Create output folder
 mkdir -p ${OUTPUT_FOLDER}

@@ -56,17 +56,6 @@ mqtt:
  # 2 = exactly once
  qos: 0

-# Optional: Detectors configuration. Defaults to a single CPU detector
-detectors:
-  # Required: name of the detector
-  detector_name:
-    # Required: type of the detector
-    # Frigate provides many types, see https://docs.frigate.video/configuration/object_detectors for more details (default: shown below)
-    # Additional detector types can also be plugged in.
-    # Detectors may require additional configuration.
-    # Refer to the Detectors configuration page for more information.
-    type: cpu
-
 # Optional: Database configuration
 database:
  # The path to store the SQLite DB (default: shown below)
@@ -157,44 +146,56 @@ auth:
      - front_door
      - back_yard

-# Optional: model modifications
+# Optional: object detection models. Defaults to a single model on a CPU detector.
 # NOTE: The default values are for the EdgeTPU detector.
 # Other detectors will require the model config to be set.
-model:
-  # Required: path to the model. Frigate+ models use plus://<model_id> (default: automatic based on detector)
-  path: /edgetpu_model.tflite
-  # Required: path to the labelmap (default: shown below)
-  labelmap_path: /labelmap.txt
-  # Required: Object detection model input width (default: shown below)
-  width: 320
-  # Required: Object detection model input height (default: shown below)
-  height: 320
-  # Required: Object detection model input colorspace
-  # 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)
-  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)
-  model_type: ssd
-  # Required: Label name modifications. These are merged into the standard labelmap.
-  labelmap:
-    2: vehicle
-  # Optional: Map of object labels to their attribute labels (default: depends on model)
-  attributes_map:
-    person:
-      - amazon
-      - face
-    car:
-      - amazon
-      - fedex
-      - license_plate
-      - ups
+models:
+    # Optional: the camera environment this model is for (default: shown below)
+    # Cameras select a model by setting detect -> scene to a matching value, and
+    # a model with a scene of all is used by any camera that does not set one.
+    # Valid values are all, indoor, outdoor, indoor_thermal, outdoor_thermal
+  - scene: all
+    # Required: hardware this model runs on, as <detector> or <detector>:<device>
+    # See https://docs.frigate.video/configuration/object_detectors for the
+    # detectors available and the devices each one accepts. All of a model's
+    # devices must use the same detector. Listing the same device more than once
+    # runs additional inference processes on it.
+    devices:
+      - edgetpu:pci:0
+    # Required: path to the model. Frigate+ models use plus://<model_id> (default: automatic based on detector)
+    path: /edgetpu_model.tflite
+    # Required: path to the labelmap (default: shown below)
+    labelmap_path: /labelmap.txt
+    # Required: Object detection model input width (default: shown below)
+    width: 320
+    # Required: Object detection model input height (default: shown below)
+    height: 320
+    # Required: Object detection model input colorspace
+    # 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)
+    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)
+    model_type: ssd
+    # Required: Label name modifications. These are merged into the standard labelmap.
+    labelmap:
+      2: vehicle
+    # Optional: Map of object labels to their attribute labels (default: depends on model)
+    attributes_map:
+      person:
+        - amazon
+        - face
+      car:
+        - amazon
+        - fedex
+        - license_plate
+        - ups

 # Optional: Audio Events Configuration
 # NOTE: Can be overridden at the camera level
@@ -217,6 +218,8 @@ audio:
    - fire_alarm
    - speech
    - yell
+  # Optional: Audio label name modifications. These are merged into the standard audio labelmap.
+  labelmap: {}
  # Optional: Filters to configure detection.
  filters:
    # Label that matches label in listen config.
@@ -251,11 +254,15 @@ birdseye:
  # Optional: Encoding quality of the mpeg1 feed (default: shown below)
  # 1 is the highest quality, and 31 is the lowest. Lower quality feeds utilize less CPU resources.
  quality: 8
-  # Optional: Mode of the view. Available options are: objects, motion, and continuous
-  #   objects - cameras are included if they have had a tracked object within the last 30 seconds
-  #   motion - cameras are included if motion was detected in the last 30 seconds
-  #   continuous - all cameras are included always
-  mode: objects
+  # Optional: Activity types that include cameras in Birdseye (default: shown below)
+  # Multiple activity types can be listed at the same time.
+  #   continuous:  all cameras are included always
+  #   motion:      included if motion was detected within the inactivity threshold
+  #   all_objects: included if a tracked object was present within the inactivity threshold
+  #   alerts:      included while an alert review item is in progress
+  #   detections:  included while a detection review item is in progress
+  modes:
+    - all_objects
  # Optional: Threshold for camera activity to stop showing camera (default: shown below)
  inactivity_threshold: 30
  # Optional: Configure the birdseye layout
@@ -287,6 +294,8 @@ ffmpeg:
    detect: -threads 2 -f rawvideo -pix_fmt yuv420p
    # Optional: output args for record streams (default: shown below)
    record: preset-record-generic
+    # Optional: output args for sub stream record streams (default: the record output args above)
+    # record_sub: preset-record-generic
  # Optional: Time in seconds to wait before ffmpeg retries connecting to the camera. (default: shown below)
  # If set too low, frigate will retry a connection to the camera's stream too frequently, using up the limited streams some cameras can allow at once
  # If set too high, then if a ffmpeg crash or camera stream timeout occurs, you could potentially lose up to a maximum of retry_interval second(s) of footage
@@ -306,6 +315,10 @@ detect:
  width: 1280
  # Optional: height of the frame for the input with the detect role (default: use native stream resolution)
  height: 720
+  # Optional: the environment this camera looks at, which picks the model it runs on
+  # (default: the model with a scene of all)
+  # Valid values are all, indoor, outdoor, indoor_thermal, outdoor_thermal
+  scene: outdoor
  # Optional: desired fps for your camera for the input with the detect role (default: shown below)
  # NOTE: Recommended value of 5. Ideally, try and reduce your FPS on the camera.
  fps: 5
@@ -483,6 +496,11 @@ review:
      - Animals in the garden
    # Optional: Preferred response language (default: English)
    preferred_language: English
+    # Optional: Writing style preset for generated descriptions (default: shown below)
+    # Options: "default", "natural", "concise", "detailed"
+    # Presets adjust the tone and level of detail of the user-facing title,
+    # summary, and scene description; "default" leaves the built-in prompt unchanged.
+    response_style: default
    # Optional: Save thumbnails sent to the GenAI provider for review/debugging purposes (default: shown below)
    debug_save_thumbnails: False

@@ -637,6 +655,42 @@ record:
      #       For example, if the camera retain mode is "motion", the segments without motion are
      #       never stored, so setting the mode to "all" here won't bring them back.
      mode: motion
+  # Optional: Sub stream recording settings
+  # Records a second, lower quality stream for quality selection during playback
+  # and extended low quality retention. Requires the record_sub role to be assigned
+  # to one of the camera's inputs.
+  sub:
+    # Optional: Enable sub stream recording (default: shown below)
+    # NOTE: Recording must also be enabled for sub stream recording to run.
+    enabled: False
+    # Optional: Continuous retention settings for sub stream recordings
+    continuous:
+      # Optional: Number of days to retain sub stream recordings regardless of tracked objects or motion (default: shown below)
+      days: 0
+    # Optional: Motion retention settings for sub stream recordings
+    motion:
+      # Optional: Number of days to retain sub stream recordings triggered by motion (default: shown below)
+      days: 0
+    # Optional: Retention settings for sub stream recordings of alerts
+    # NOTE: Pre and post capture windows are taken from the main alerts config above.
+    alerts:
+      # Required: Retention days (default: shown below)
+      days: 10
+      # Optional: Mode for retention. (default: shown below)
+      #   all - save all sub stream recording segments for alerts regardless of activity
+      #   motion - save all sub stream recording segments for alerts with any detected motion
+      #   active_objects - save all sub stream recording segments for alerts with active/moving objects
+      mode: motion
+    # Optional: Retention settings for sub stream recordings of detections
+    # NOTE: Pre and post capture windows are taken from the main detections config above.
+    detections:
+      # Required: Retention days (default: shown below)
+      days: 10
+      # Optional: Mode for retention. (default: shown below)
+      #   all - save all sub stream recording segments for detections regardless of activity
+      #   motion - save all sub stream recording segments for detections with any detected motion
+      #   active_objects - save all sub stream recording segments for detections with active/moving objects
+      mode: motion

 # Optional: Configuration for the snapshots written to the clips directory for each tracked object
 # Timestamp, bounding_box, crop and height settings are applied by default to API requests for snapshots.
@@ -888,7 +942,7 @@ cameras:
        # Required: the path to the stream
        # NOTE: path may include environment variables or docker secrets, which must begin with 'FRIGATE_' and be referenced in {}
        - path: rtsp://viewer:{FRIGATE_RTSP_PASSWORD}@10.0.10.10:554/cam/realmonitor?channel=1&subtype=2
-          # Required: list of roles for this stream. valid values are: audio,detect,record
+          # Required: list of roles for this stream. valid values are: audio,detect,record,record_sub
          # NOTICE: In addition to assigning the audio, detect, and record roles
          # they must also be enabled in the camera config.
          roles:
@@ -63,15 +63,9 @@ go2rtc:

 ### `environment_vars`

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

-Variables prefixed with `FRIGATE_` can be referenced in config fields that support environment variable substitution (such as MQTT host and credentials, camera stream URLs, and ONVIF host and credentials) using the `{FRIGATE_VARIABLE_NAME}` syntax.
-
-:::note
-
-The `go2rtc` section is an exception. go2rtc runs as a separate process, so its stream definitions can only be substituted with variables that exist in the container's environment (set via Docker `-e`, the `environment:` section of `docker-compose.yml`, or Docker secrets). Variables defined in the `environment_vars` block above are not available to go2rtc streams. Home Assistant app users, who cannot set container environment variables, must instead put credentials directly in their go2rtc stream URLs.
-
-:::
+Names prefixed with `FRIGATE_` set here also take part in `{FRIGATE_VARIABLE_NAME}` substitution (see [below](#substitution-sources-and-precedence)), but `secrets.yaml` is the better home for them.

 <ConfigTabs>
 <TabItem value="ui">
@@ -80,23 +74,17 @@ Navigate to <NavPath path="Settings > System > Environment variables" /> to add

 | Field             | Description                                               |
 | ----------------- | --------------------------------------------------------- |
-| **Variable name** | The environment variable name (e.g., `FRIGATE_MQTT_USER`) |
+| **Variable name** | The environment variable name (e.g., `LIBVA_DRIVER_NAME`) |
 | **Value**         | The value for the variable                                |

-Variables defined here can be referenced elsewhere in your configuration using the `{FRIGATE_VARIABLE_NAME}` syntax.
+Names prefixed with `FRIGATE_` can also be referenced elsewhere in your configuration using the `{FRIGATE_VARIABLE_NAME}` syntax.

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

 ```yaml
 environment_vars:
-  FRIGATE_MQTT_USER: my_mqtt_user
-  FRIGATE_MQTT_PASSWORD: my_mqtt_password
-
-mqtt:
-  host: "{FRIGATE_MQTT_HOST}"
-  user: "{FRIGATE_MQTT_USER}"
-  password: "{FRIGATE_MQTT_PASSWORD}"
+  LIBVA_DRIVER_NAME: i965
 ```

 </TabItem>
@@ -130,6 +118,51 @@ environment_vars:
 </TabItem>
 </ConfigTabs>

+### `secrets.yaml`
+
+A `secrets.yaml` file next to your `config.yml` is an additional source of `FRIGATE_` variables, for installs that can't set container environment variables or mount Docker secrets. It's a flat map of names to values, and it is never read or written by the Frigate UI:
+
+```yaml
+FRIGATE_CAM_USER: viewer
+FRIGATE_CAM_PASS: "p@ss w0rd"
+FRIGATE_MQTT_HOST: mqtt.internal.example
+```
+
+For Docker this is `/config/secrets.yaml` inside the container, so it lives in whatever host directory you mounted at `/config`. For the Home Assistant App it's `/addon_configs/<addon_directory>/secrets.yaml`, in the same folder as your `config.yml`; see [the App config directory](../config.md#accessing-app-config-dir) for the directory name for your variant.
+
+Names must start with `FRIGATE_`, and nesting is not supported. `secrets.yaml` feeds `{FRIGATE_VARIABLE_NAME}` substitution, so the handful of variables Frigate reads straight from the process environment, such as `FRIGATE_JWT_SECRET`, still need a container environment variable or a Docker secret.
+
+### Substitution sources and precedence
+
+The same `{FRIGATE_VARIABLE_NAME}` placeholder resolves from four sources. When a name is defined in more than one, the higher one wins and a warning at startup names which source was used.
+
+| Priority    | Source                | Where it's set                                                             | Who can use it                 |
+| ----------- | --------------------- | -------------------------------------------------------------------------- | ------------------------------ |
+| 1 (highest) | Docker secrets        | Files in `/run/secrets`, or the directory named by `CREDENTIALS_DIRECTORY` | Docker, systemd                |
+| 2           | Container environment | `docker run -e`, the `environment:` section of `docker-compose.yml`        | Docker                         |
+| 3           | `secrets.yaml`        | Next to `config.yml`, see above                                            | Everyone, including the HA App |
+| 4 (lowest)  | `environment_vars`    | The block in `config.yml` described above                                  | Everyone, including the HA App |
+
+For example, with this `secrets.yaml`:
+
+```yaml
+FRIGATE_MQTT_PASSWORD: from_secrets
+```
+
+and this `config.yml`:
+
+```yaml
+environment_vars:
+  FRIGATE_MQTT_PASSWORD: from_config
+
+mqtt:
+  password: "{FRIGATE_MQTT_PASSWORD}"
+```
+
+the password resolves to `from_secrets`, and the log shows `FRIGATE_MQTT_PASSWORD is defined in more than one place, using the value from secrets.yaml`. Add `-e FRIGATE_MQTT_PASSWORD=from_env` to the container and it resolves to `from_env` instead.
+
+Referencing a name that no source defines is a config validation error naming the field.
+
 ### `database`

 Tracked object and recording information is managed in a sqlite database at `/config/frigate.db`. If that database is deleted, recordings will be orphaned and will need to be cleaned up manually. They also won't show up in the Media Browser within Home Assistant.
@@ -177,7 +210,7 @@ Custom models may also require different input tensor formats. The colorspace co
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and open the **Custom Model** tab to configure the model path, dimensions, and input format.
+Navigate to <NavPath path="Settings > System > Detection models" /> and, on the model you want to change, open the **Custom Model** tab to configure the model path, dimensions, and input format.

 | Field                                         | Description                          |
 | --------------------------------------------- | ------------------------------------ |
@@ -192,12 +225,14 @@ Navigate to <NavPath path="Settings > System > Detectors and model" /> and open

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

 </TabItem>
@@ -214,15 +249,15 @@ If the labelmap is customized then the labels used for alerts will need to be ad
 The labelmap can be customized to your needs. A common reason to do this is to combine multiple object types that are easily confused when you don't need to be as granular such as car/truck. By default, truck is renamed to car because they are often confused. You cannot add new object types, but you can change the names of existing objects in the model.

 ```yaml
-model:
-  labelmap:
-    2: vehicle
-    3: vehicle
-    5: vehicle
-    7: vehicle
-    15: animal
-    16: animal
-    17: animal
+models:
+  - labelmap:
+      2: vehicle
+      3: vehicle
+      5: vehicle
+      7: vehicle
+      15: animal
+      16: animal
+      17: animal
 ```

 Note that if you rename objects in the labelmap, you will also need to update your `objects -> track` list as well.
@@ -362,6 +397,10 @@ To do this:
 2. Update the `ffmpeg.path` in your Frigate config to `/config/custom-ffmpeg`.
 3. Restart Frigate and the custom version will be used if the steps above were done correctly.

+Both binaries have to be executable by Frigate's unprivileged runtime user, so `chmod 755` them after extracting. The startup ownership sweep runs only once, so anything you add to `/config` later keeps whatever ownership and mode you gave it.
+
+There is one exception, and it only affects [`FRIGATE_ROOT_SERVICES`](/configuration/non_root#keeping-individual-services-root) listing `frigate`. That mode runs Frigate as root while still handing `/config` to the unprivileged runtime user, so anything running as that user could swap the binary and gain root. A build inside any of Frigate's writable volumes (`/config`, `/media/frigate`, the cache and shm dirs) is ignored there and the bundled one is used, with a warning in the log. Keep the build somewhere root-owned (any absolute `ffmpeg.path` works, so a read-only bind mount such as `/opt/custom-ffmpeg` is enough) if you need both. The default mode and `FRIGATE_RUN_AS_ROOT=true` are unaffected and behave exactly as they always have.
+
 ### Custom go2rtc version

 Frigate currently includes go2rtc v1.9.14, there may be certain cases where you want to run a different version of go2rtc.
@@ -370,9 +409,11 @@ To do this:

 1. Download the go2rtc build to the `/config` folder.
 2. Rename the build to `go2rtc`.
-3. Give `go2rtc` execute permission.
+3. Give `go2rtc` execute permission for all users (`chmod 755`). It runs as its own `go2rtc` user, which doesn't own the file, so owner-only execute permission isn't enough.
 4. Restart Frigate and the custom version will be used, you can verify by checking go2rtc logs.

+The same exception applies, and again only to [`FRIGATE_ROOT_SERVICES`](/configuration/non_root#keeping-individual-services-root) listing `go2rtc`: the binary is ignored there and the embedded one is used, with a warning in the log. Unlike `ffmpeg.path`, the go2rtc binary location is not configurable, so there is no outside-`/config` alternative. Use `FRIGATE_RUN_AS_ROOT=true` instead if you need both a custom go2rtc build and root. The default mode and the escape hatch both honor `/config/go2rtc` exactly as they always have.
+
 ## Validating your config.yml file updates

 When frigate starts up, it checks whether your config file is valid, and if it is not, the process exits. To minimize interruptions when updating your config, you have three options -- you can edit the config via the WebUI which has built in validation, use the config API, or you can validate on the command line using the frigate docker container.
@@ -114,6 +114,30 @@ audio:
 </TabItem>
 </ConfigTabs>

+#### Grouping Audio Labels
+
+Related audio classes can be grouped under one label by mapping their numeric
+class IDs to the same name. Add the grouped name to `listen` and use it for any
+corresponding filter:
+
+```yaml
+audio:
+  listen:
+    - dogs
+  labelmap:
+    69: dogs # dog
+    70: dogs # bark
+    75: dogs # whimper_dog
+  filters:
+    dogs:
+      threshold: 0.8
+```
+
+Class IDs are zero-based indices in
+[`audio-labelmap.txt`](https://github.com/blakeblackshear/frigate/blob/dev/audio-labelmap.txt),
+so each ID is one less than the displayed file line number.
+Audio label mappings are separate from the object detector's `model.labelmap`.
+
 ### Common Audio Labels

 The labelmap includes hundreds of sound types. The labels below are the ones most users may find practical, grouped by what they're typically used for. Use the exact label string from the left column in your `listen` config, or search for the label in the Frigate UI directly.
@@ -22,7 +22,9 @@ The following ports are available to access the Frigate web UI.

 ## Onboarding

-On startup, an admin user and password are generated and printed in the logs. It is recommended to set a new password for the admin account after logging in for the first time under Settings > Users.
+On startup, an admin user and password are generated and printed in the logs. It is recommended to set a new password for the admin account after logging in for the first time.
+
+On a new install the [setup wizard](../guides/getting_started.md#configuring-frigate) offers this as its first step, along with creating accounts for anyone else who needs access. You can also do both at any time under <NavPath path="Settings > Users" />.

 ## Resetting admin password

@@ -214,9 +216,9 @@ A default role can be provided. Any value in the mapped `role` header will overr

 Navigate to <NavPath path="Settings > System > Proxy" /> and set the default role.

-| Field            | Description                                                   |
-| ---------------- | ------------------------------------------------------------- |
-| **Default role** | Fallback role when no role header is present (e.g., `viewer`) |
+| Field            | Description                                                                                          |
+| ---------------- | ---------------------------------------------------------------------------------------------------- |
+| **Default role** | Fallback role when no role header is present (e.g., `viewer`), or `None (deny access)` to reject unmapped users |

 </TabItem>
 <TabItem value="yaml">
@@ -230,6 +232,14 @@ proxy:
 </TabItem>
 </ConfigTabs>

+Setting `default_role` to `none` denies access instead of falling back to a role. Any proxy-authenticated user whose headers do not match an explicit `role_map` entry receives a 403 response. This is useful when the upstream proxy authenticates a broader set of users than should reach Frigate, so that only mapped groups are allowed in.
+
+```yaml
+proxy:
+  ...
+  default_role: none
+```
+
 ## Role mapping

 In some environments, upstream identity providers (OIDC, SAML, LDAP, etc.) do not pass a Frigate-compatible role directly, but instead pass one or more group claims. To handle this, Frigate supports a `role_map` that translates upstream group names into Frigate's internal roles (`admin`, `viewer`, or custom). This is configurable via YAML in the configuration file:
@@ -255,7 +265,7 @@ In this example:
 - If the proxy passes a role header containing `sysadmins` or `access-level-security`, the user is assigned the `admin` role.
 - If the proxy passes a role header containing `camera-viewer`, the user is assigned the `viewer` role.
 - If the proxy passes a role header containing `operators`, the user is assigned the `operator` custom role.
- If no mapping matches, Frigate falls back to `default_role` if configured.
+- If no mapping matches, Frigate falls back to `default_role` if configured, or denies access if `default_role` is `none`.
 - If `role_map` is not defined, Frigate assumes the role header directly contains `admin`, `viewer`, or a custom role name.

 **Note on matching semantics:**
@@ -329,7 +339,7 @@ Frigate supports user roles to control access to certain features in the UI and

 - **admin**: Full access to all features, including user management and configuration.
 - **viewer**: Read-only access to the UI and API, including viewing cameras, review items, and historical footage. Configuration editor and settings in the UI are inaccessible.
- **Custom Roles**: Arbitrary role names (alphanumeric, dots/underscores) with specific camera permissions. These extend the system for granular access (e.g., "operator" for select cameras).
+- **Custom Roles**: Arbitrary role names (alphanumeric, dots/underscores) with specific camera permissions. These extend the system for granular access (e.g., "operator" for select cameras). The names `admin`, `viewer`, and `none` are reserved and cannot be used.

 ### Custom Roles and Camera Access

@@ -18,13 +18,17 @@ Each camera tile in Birdseye is composed from the frames of the stream assigned

 ## Birdseye Behavior

-### Birdseye Modes
+### Birdseye Activity Types

-Birdseye offers different modes to customize which cameras show under which circumstances.
+Birdseye offers independent activity types that control when cameras are shown. Multiple activity types can be listed together.

- **continuous:** All cameras are always included
- **motion:** Cameras that have detected motion within the last 30 seconds are included
- **objects:** Cameras that have tracked an active object within the last 30 seconds are included
+- **continuous:** The camera is always included
+- **motion:** The camera is included when motion was detected within the last 30 seconds
+- **all_objects:** The camera is included when a tracked object is present, active or stationary
+- **alerts:** The camera is included while an alert review item is in progress
+- **detections:** The camera is included while a detection review item is in progress
+
+`alerts` and `detections` follow the review item's own lifetime, so the camera is removed as soon as the review item ends. Which objects qualify for each is set in [review configuration](./review.md).

 ### Custom Birdseye Icon

@@ -39,27 +43,29 @@ To include a camera in Birdseye view only for specific circumstances, or exclude

 **Global settings:** Navigate to <NavPath path="Settings > System > Birdseye" /> to configure the default Birdseye behavior for all cameras.

-**Per-camera overrides:** Navigate to <NavPath path="Settings > Camera configuration > Birdseye" /> to override the mode or disable Birdseye for a specific camera.
+**Per-camera overrides:** Navigate to <NavPath path="Settings > Camera configuration > Birdseye" /> to override the activity types or disable Birdseye for a specific camera.

-| Field               | Description                                                   |
-| ------------------- | ------------------------------------------------------------- |
-| **Enable Birdseye** | Whether this camera appears in Birdseye view                  |
-| **Tracking mode**   | When to show the camera: `continuous`, `motion`, or `objects` |
+| Field                  | Description                                                |
+| ---------------------- | ---------------------------------------------------------- |
+| **Enable Birdseye**    | Whether this camera appears in Birdseye view               |
+| **Activity types**     | Conditions that determine when to show the camera          |

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

-```yaml {8-10,12-14}
+```yaml {10-12,15-16}
 # Include all cameras by default in Birdseye view
 birdseye:
  enabled: True
-  mode: continuous
+  modes:
+    - continuous

 cameras:
  front:
-    # Only include the "front" camera in Birdseye view when objects are detected
+    # Only include the "front" camera in Birdseye view when an alert is in progress
    birdseye:
-      mode: objects
+      modes:
+        - alerts
  back:
    # Exclude the "back" camera from Birdseye view
    birdseye:
@@ -71,7 +77,7 @@ cameras:

 ### Birdseye Inactivity

-By default birdseye shows all cameras that have had the configured activity in the last 30 seconds. This threshold can be configured.
+By default birdseye shows all cameras that have had the configured activity in the last 30 seconds. This threshold can be configured, and applies to the `motion` and `all_objects` activity types only.

 <ConfigTabs>
 <TabItem value="ui">
@@ -140,7 +146,8 @@ Navigate to <NavPath path="Settings > System > Birdseye" /> and in the **Camera
 # Include all cameras by default in Birdseye view
 birdseye:
  enabled: True
-  mode: continuous
+  modes:
+    - continuous

 cameras:
  front:
@@ -9,7 +9,7 @@ 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.
+The Add Camera Wizard is the recommended way to add a camera. Click **Add Camera** in <NavPath path="Settings > Global configuration > Camera management" />, or use it from the [setup wizard](../guides/getting_started.md#configuring-frigate) on a new install. 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

@@ -83,11 +83,12 @@ A camera is enabled by default but can be disabled by using `enabled: False`. Ca

 Each role can only be assigned to one input per camera. The options for roles are as follows:

-| Role     | Description                                                                         |
-| -------- | ----------------------------------------------------------------------------------- |
-| `detect` | Main feed for object detection. [docs](object_detectors.md)                         |
-| `record` | Saves segments of the video feed based on configuration settings. [docs](record.md) |
-| `audio`  | Feed for audio based detection. [docs](audio_detectors.md)                          |
+| Role         | Description                                                                                                  |
+| ------------ | ------------------------------------------------------------------------------------------------------------ |
+| `detect`     | Main feed for object detection. [docs](object_detectors.md)                                                  |
+| `record`     | Saves segments of the video feed based on configuration settings. [docs](record.md)                          |
+| `record_sub` | Saves segments of a second, lower quality stream with its own retention. [docs](record.md#sub-stream-recording) |
+| `audio`      | Feed for audio based detection. [docs](audio_detectors.md)                                                   |

 <ConfigTabs>
 <TabItem value="ui">
@@ -100,7 +100,7 @@ VS Code supports JSON schemas for automatically validating configuration files.

 ## Environment Variable Substitution

-Frigate supports the use of environment variables starting with `FRIGATE_` **only** where specifically indicated in the [reference config](./advanced/reference.md). For example, the following values can be replaced at runtime by using environment variables:
+Frigate supports the use of environment variables starting with `FRIGATE_` **only** where specifically indicated in the [reference config](./advanced/reference.md). See [substitution sources and precedence](./advanced/system.md#substitution-sources-and-precedence) for where those values can come from, including `secrets.yaml`. For example, the following values can be replaced at runtime by using environment variables:

 ```yaml
 mqtt:
@@ -154,7 +154,7 @@ Here are some common starter configuration examples. These can be configured thr

 1. Navigate to <NavPath path="Settings > System > MQTT" /> and configure the MQTT connection to your Home Assistant Mosquitto broker
 2. Navigate to <NavPath path="Settings > Global configuration > FFmpeg" /> and set **Hardware acceleration arguments** to `Raspberry Pi (H.264)`
-3. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`
+3. Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (USB)** from the **Hardware** dropdown
 4. Navigate to <NavPath path="Settings > Global configuration > Recording" /> and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion`
 5. Navigate to <NavPath path="Settings > Global configuration > Snapshots" /> and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30`
 6. Navigate to <NavPath path="Settings > Global configuration > Camera management" /> and add your camera with the appropriate RTSP stream URL
@@ -172,10 +172,9 @@ mqtt:
 ffmpeg:
  hwaccel_args: preset-rpi-64-h264

-detectors:
-  coral:
-    type: edgetpu
-    device: usb
+models:
+  - devices:
+      - edgetpu:usb

 record:
  enabled: True
@@ -233,7 +232,7 @@ cameras:

 1. Navigate to <NavPath path="Settings > System > MQTT" /> and set **Enable MQTT** to off
 2. Navigate to <NavPath path="Settings > Global configuration > FFmpeg" /> and set **Hardware acceleration arguments** to `VAAPI (Intel/AMD GPU)`
-3. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`
+3. Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (USB)** from the **Hardware** dropdown
 4. Navigate to <NavPath path="Settings > Global configuration > Recording" /> and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion`
 5. Navigate to <NavPath path="Settings > Global configuration > Snapshots" /> and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30`
 6. Navigate to <NavPath path="Settings > Global configuration > Camera management" /> and add your camera with the appropriate RTSP stream URL
@@ -249,10 +248,9 @@ mqtt:
 ffmpeg:
  hwaccel_args: preset-vaapi

-detectors:
-  coral:
-    type: edgetpu
-    device: usb
+models:
+  - devices:
+      - edgetpu:usb

 record:
  enabled: True
@@ -310,8 +308,8 @@ cameras:

 1. Navigate to <NavPath path="Settings > System > MQTT" /> and configure the connection to your MQTT broker
 2. Navigate to <NavPath path="Settings > Global configuration > FFmpeg" /> and set **Hardware acceleration arguments** to `VAAPI (Intel/AMD GPU)`
-3. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `openvino` and **Device** `AUTO`
-4. On the same page, in the **Custom Model** tab, configure the OpenVINO model path and settings
+3. Navigate to <NavPath path="Settings > System > Detection models" /> and select **Intel GPU** from the **Hardware** dropdown
+4. On the same model, open the **Custom Model** tab and configure the OpenVINO model path and settings
 5. Navigate to <NavPath path="Settings > Global configuration > Recording" /> and set **Enable recording** to on, **Motion retention > Retention days** to `7`, **Alert retention > Event retention > Retention days** to `30`, **Alert retention > Event retention > Retention mode** to `motion`, **Detection retention > Event retention > Retention days** to `30`, **Detection retention > Event retention > Retention mode** to `motion`
 6. Navigate to <NavPath path="Settings > Global configuration > Snapshots" /> and set **Enable snapshots** to on, **Snapshot retention > Default retention** to `30`
 7. Navigate to <NavPath path="Settings > Global configuration > Camera management" /> and add your camera with the appropriate RTSP stream URL
@@ -329,15 +327,12 @@ mqtt:
 ffmpeg:
  hwaccel_args: preset-vaapi

-detectors:
-  ov:
-    type: openvino
-    device: AUTO
-
-model:
-  width: 300
-  height: 300
-  input_tensor: nhwc
+models:
+  - devices:
+      - openvino:AUTO
+    width: 300
+    height: 300
+    input_tensor: nhwc
  input_pixel_format: bgr
  path: /openvino-model/ssdlite_mobilenet_v2.xml
  labelmap_path: /openvino-model/coco_91cl_bkgr.txt
@@ -106,3 +106,5 @@ Output arguments are passed to FFmpeg after your camera source and control how r
 | preset-record-mjpeg              | Record - MJPEG Cameras          | Record an MJPEG stream              | Restreaming the MJPEG stream is recommended instead                                                                                                               |
 | preset-record-jpeg               | Record - JPEG Cameras           | Record a live JPEG                  | Restreaming the live JPEG is recommended instead                                                                                                                  |
 | preset-record-ubiquiti           | Record - Ubiquiti Cameras       | Record a Ubiquiti stream with audio | Handles Ubiquiti's non-standard audio format                                                                                                                      |
+
+These presets apply to the `record` output args. If [sub stream recording](/configuration/record#sub-stream-recording) is enabled, the same args are used for the `record_sub` role unless `output_args.record_sub` is set, which accepts the same presets and manual args.
@@ -517,6 +517,6 @@ objects:
 7. If descriptions are generated but the results are poor or inconsistent, look at the model and the context window.
   - Empty fields, missing `shortSummary` values, or `Failed to parse review description` errors usually mean the model is not following the requested JSON schema. Smaller models struggle with structured output. Try a larger parameter size or one of the [recommended models](#recommended-local-models).
   - Frigate calculates how many frames to send from the context size the provider reports. If your server reports a different value than it is actually running with, frames will be truncated or the request will fail. Pin the value by adding `context_size` under <NavPath path="Settings > Enrichments > Generative AI > Provider options" /> (`genai.<provider>.provider_options`), and for Ollama also confirm `options.num_ctx` there matches the context you have configured.
-   - Check **Review Description Speed** and **Object Description Speed** in <NavPath path="System metrics > Enrichments" />. If inference takes tens of seconds, requests will queue behind each other and descriptions will appear to stop. For Ollama, review `OLLAMA_NUM_PARALLEL`, `OLLAMA_MAX_QUEUE`, and `OLLAMA_MAX_LOADED_MODELS` so that concurrent requests from Frigate are handled the way you expect.
+   - Check **Review Description Speed** and **Object Description Speed** in <NavPath path="Health and Metrics > Enrichments" />. If inference takes tens of seconds, requests will queue behind each other and descriptions will appear to stop. For Ollama, review `OLLAMA_NUM_PARALLEL`, `OLLAMA_MAX_QUEUE`, and `OLLAMA_MAX_LOADED_MODELS` so that concurrent requests from Frigate are handled the way you expect.

 </FaqItem>
@@ -192,6 +192,39 @@ review:
 </TabItem>
 </ConfigTabs>

+### Response Style
+
+Different models respond to the built-in prompt with very different writing styles: some produce natural narration while others sound short and mechanical. The `response_style` option selects a writing style preset that rewords the prompt's instructions for the user-facing fields (the title, short summary, and scene description). Presets replace those instructions rather than adding extra ones, so the model never receives competing style directions.
+
+Available presets:
+
+- `default`: The built-in prompt, unchanged. This already reads like a neutral security report.
+- `natural`: Plain, everyday narration with flowing sentences and sentence-style headline titles. Useful when a model's output sounds robotic.
+- `concise`: As brief as possible while still covering each significant action, with terse two-to-four word titles.
+- `detailed`: Thorough descriptions and titles that include the most identifying specifics, like colors, clothing, and carried items.
+
+Style presets only adjust how the user-facing text reads; the model's step-by-step observations and threat level scoring guidance are unaffected. Results vary by model, so it is worth comparing presets against saved debug output using `testing-scripts/genai_review_tester.py` in the Frigate repository.
+
+<ConfigTabs>
+<TabItem value="ui">
+
+Navigate to <NavPath path="Settings > Global configuration > Review" />.
+
+- Set **GenAI config > Response style** to the desired preset (e.g., `natural`)
+
+</TabItem>
+<TabItem value="yaml">
+
+```yaml {4}
+review:
+  genai:
+    enabled: true
+    response_style: natural
+```
+
+</TabItem>
+</ConfigTabs>
+
 ## Review Reports

 Along with individual review item summaries, Generative AI can also produce a single report of review items from all cameras marked "suspicious" over a specified time period (for example, a daily summary of suspicious activity while you're on vacation).
@@ -312,8 +312,9 @@ ffmpeg:

 :::note

-If running Frigate through Docker, you either need to run in privileged mode or
-map the `/dev/video*` devices to Frigate. With Docker Compose add:
+If running Frigate through Docker, map the relevant `/dev/video*` devices into
+the container. Running in privileged mode also works but grants far more access
+than needed. With Docker Compose add:

 ```yaml {4-5}
 services:
@@ -8,7 +8,7 @@ import TabItem from "@theme/TabItem";
 import NavPath from "@site/src/components/NavPath";
 import FaqItem from "@site/src/components/FaqItem";

-Frigate can recognize license plates on vehicles and automatically add the detected characters to the `recognized_license_plate` field or a [known](#matching) name as a `sub_label` to tracked objects of type `car` or `motorcycle`. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.
+Frigate can recognize license plates on vehicles and automatically add the detected characters to the `recognized_license_plate` field or a [known](#matching) name as a `sub_label` to tracked objects of type `car`, `motorcycle`, `bus`, `truck`, `school_bus`, or `garbage_truck`, depending on which of those labels your model detects. A common use case may be to read the license plates of cars pulling into a driveway or cars passing by on a street.

 LPR works best when the license plate is clearly visible to the camera. For moving vehicles, Frigate continuously refines the recognition process, keeping the most confident result. When a vehicle becomes stationary, LPR continues to run for a short time after to attempt recognition.

@@ -24,7 +24,7 @@ When a plate is recognized, the details are:
 - Viewable in the Details pane in Review/History.
 - Viewable in the Tracked Object Details pane in Explore (sub labels and recognized license plates).
 - Filterable through the More Filters menu in Explore.
- Published via the `frigate/events` MQTT topic as a `sub_label` ([known](#matching)) or `recognized_license_plate` (unknown) for the `car` or `motorcycle` tracked object.
+- Published via the `frigate/events` MQTT topic as a `sub_label` ([known](#matching)) or `recognized_license_plate` (unknown) for the vehicle tracked object.
 - Published via the `frigate/tracked_object_update` MQTT topic with `name` (if [known](#matching)) and `plate`.

 ## Model Requirements
@@ -35,7 +35,7 @@ Users without a model that detects license plates can still run LPR. Frigate use

 :::note

-In the default mode, Frigate's LPR needs to first detect a `car` or `motorcycle` before it can recognize a license plate. If you're using a dedicated LPR camera and have a zoomed-in view where a `car` or `motorcycle` will not be detected, you can still run LPR, but the configuration parameters will differ from the default mode. See the [Dedicated LPR Cameras](#dedicated-lpr-cameras) section below.
+In the default mode, Frigate's LPR needs to first detect a vehicle before it can recognize a license plate. If you're using a dedicated LPR camera and have a zoomed-in view where a vehicle will not be detected, you can still run LPR, but the configuration parameters will differ from the default mode. See the [Dedicated LPR Cameras](#dedicated-lpr-cameras) section below.

 :::

@@ -86,7 +86,7 @@ cameras:
 </TabItem>
 </ConfigTabs>

-For non-dedicated LPR cameras, ensure that your camera is configured to detect objects of type `car` or `motorcycle`, and that a car or motorcycle is actually being detected by Frigate. Otherwise, LPR will not run.
+For non-dedicated LPR cameras, ensure that your camera is configured to detect vehicle objects, and that a vehicle is actually being detected by Frigate. Otherwise, LPR will not run. The object types that can carry a plate are defined by your model's `attributes_map`, so if your model detects other vehicle labels, you can add them there.

 Like the other real-time processors in Frigate, license plate recognition runs on the camera stream defined by the `detect` role in your config. To ensure optimal performance, select a suitable resolution for this stream in your camera's firmware that fits your specific scene and requirements.

@@ -158,7 +158,7 @@ lpr:

 Navigate to <NavPath path="Settings > Enrichments > License plate recognition" />.

- **Known plates**: Assign custom `sub_label` values to `car` and `motorcycle` objects when a recognized plate matches a known value. These labels appear in the UI, filters, and notifications. Unknown plates are still saved but are added to the `recognized_license_plate` field rather than the `sub_label`.
+- **Known plates**: Assign custom `sub_label` values to vehicle objects when a recognized plate matches a known value. These labels appear in the UI, filters, and notifications. Unknown plates are still saved but are added to the `recognized_license_plate` field rather than the `sub_label`.
 - **Match distance**: Allows for minor variations (missing/incorrect characters) when matching a detected plate to a known plate. For example, setting to `1` allows a plate `ABCDE` to match `ABCBE` or `ABCD`. This parameter will _not_ operate on known plates that are defined as regular expressions.

 </TabItem>
@@ -316,7 +316,7 @@ lpr:

 :::note

-If a camera is configured to detect `car` or `motorcycle` but you don't want Frigate to run LPR for that camera, disable LPR at the camera level:
+If a camera is configured to detect vehicles but you don't want Frigate to run LPR for that camera, disable LPR at the camera level:

 <ConfigTabs>
 <TabItem value="ui">
@@ -456,7 +456,7 @@ With this setup:
 - Snapshots will have license plate bounding boxes on them.
 - The `frigate/events` MQTT topic will publish tracked object updates.
 - Debug view will display `license_plate` bounding boxes.
- If you are using a Frigate+ model and want to submit images from your dedicated LPR camera for model training and fine-tuning, annotate both the `car` / `motorcycle` and the `license_plate` in the snapshots on the Frigate+ website, even if the car is barely visible.
+- If you are using a Frigate+ model and want to submit images from your dedicated LPR camera for model training and fine-tuning, annotate both the vehicle and the `license_plate` in the snapshots on the Frigate+ website, even if the vehicle is barely visible.

 ### Using the Secondary LPR Pipeline (Without Frigate+)

@@ -611,9 +611,9 @@ If you are still having issues detecting plates, start with a basic configuratio

 </FaqItem>

-<FaqItem id="can-i-run-lpr-without-detecting-car-or-motorcycle-objects" question={<>Can I run LPR without detecting <code>car</code> or <code>motorcycle</code> objects?</>}>
+<FaqItem id="can-i-run-lpr-without-detecting-car-or-motorcycle-objects" question={<>Can I run LPR without detecting vehicle objects?</>}>

-In normal LPR mode, Frigate requires a `car` or `motorcycle` to be detected first before recognizing a license plate. If you have a dedicated LPR camera, you can change the camera `type` to `"lpr"` to use the Dedicated LPR Camera algorithm. This comes with important caveats, though. See the [Dedicated LPR Cameras](#dedicated-lpr-cameras) section above.
+In normal LPR mode, Frigate requires a vehicle to be detected first before recognizing a license plate. If you have a dedicated LPR camera, you can change the camera `type` to `"lpr"` to use the Dedicated LPR Camera algorithm. This comes with important caveats, though. See the [Dedicated LPR Cameras](#dedicated-lpr-cameras) section above.

 </FaqItem>

@@ -697,9 +697,9 @@ lpr:
   - You may need to adjust your `detection_threshold` if your plates are not being detected.

 4. Ensure the characters on detected plates are being _recognized_.
-   - Check the **Plate recognition** inference time in Enrichment metrics (<NavPath path="System metrics > Enrichments" />). High inference times (> 100ms) could lead to poor recognition results, especially for dedicated LPR cameras where the plate crosses the frame quickly.
+   - Check the **Plate recognition** inference time in Enrichment metrics (<NavPath path="Health and Metrics > Enrichments" />). High inference times (> 100ms) could lead to poor recognition results, especially for dedicated LPR cameras where the plate crosses the frame quickly.
   - Enable `debug_save_plates` to save images of detected text on plates to the clips directory (`/media/frigate/clips/lpr`). Ensure these images are readable and the text is clear.
-   - Watch the debug view to see plates recognized in real-time. For non-dedicated LPR cameras, the `car` or `motorcycle` label will change to the recognized plate when LPR is enabled and working.
+   - Watch the debug view to see plates recognized in real-time. For non-dedicated LPR cameras, the vehicle's label will change to the recognized plate when LPR is enabled and working.
   - Adjust `recognition_threshold` settings per the suggestions [above](#advanced-configuration).

 </FaqItem>
@@ -714,13 +714,13 @@ LPR's performance impact depends on your hardware. Ensure you have at least 4GB

 The YOLOv9 license plate detector model will run (and the metric will appear) if you've enabled LPR but haven't defined `license_plate` as an object to track, either at the global or camera level.

-If you are detecting `car` or `motorcycle` on cameras where you don't want to run LPR, make sure you disable LPR it at the camera level. And if you do want to run LPR on those cameras, make sure you define `license_plate` as an object to track.
+If you are detecting vehicles on cameras where you don't want to run LPR, make sure you disable LPR it at the camera level. And if you do want to run LPR on those cameras, make sure you define `license_plate` as an object to track.

 </FaqItem>

 <FaqItem id="it-looks-like-frigate-picked-up-my-cameras-timestamp-or-overlay-text-as-the-license-plate-how-can-i-prevent-this" question="It looks like Frigate picked up my camera's timestamp or overlay text as the license plate. How can I prevent this?">

-This could happen if cars or motorcycles travel close to your camera's timestamp or overlay text. You could either move the text through your camera's firmware, or apply a mask to it in Frigate.
+This could happen if vehicles travel close to your camera's timestamp or overlay text. You could either move the text through your camera's firmware, or apply a mask to it in Frigate.

 If you are using a model that natively detects `license_plate`, add an _object mask_ of type `license_plate` and a _motion mask_ over your text.

@@ -0,0 +1,387 @@
+---
+id: non_root
+title: Running as a non-root user
+---
+
+# Running as a non-root user
+
+Frigate's services run as an unprivileged user inside the container. The main Frigate process and nginx run as `frigate`, and go2rtc runs as its own more restricted `go2rtc` user. Only the s6 init system and the certsync helper stay root.
+
+The runtime user is uid/gid `1000:1000` by default. You can change it with `PUID`/`PGID`, or bypass Frigate's user handling entirely with Docker's own `user:`.
+
+Most upgrades need nothing. Frigate aligns your volume ownership on the first boot and grants access to your hardware at startup. The sections below cover the cases that need attention: large storage volumes, network storage, and hardware the automatic grant can't reach.
+
+## Run modes
+
+| Mode                | How to enable                   | Ownership of `/config` and `/media/frigate`            | `read_only: true` |
+| ------------------- | ------------------------------- | ------------------------------------------------------ | ----------------- |
+| Default             | nothing, this is the default    | Aligned to `1000:1000` on first boot                   | Supported         |
+| `PUID`/`PGID`       | `PUID=1001`, `PGID=1001`        | Aligned to the values you set, on first boot           | Not supported     |
+| Docker-native user  | `user: "1001:1001"`             | You own it, Frigate never changes ownership            | Supported         |
+| Root (escape hatch) | `FRIGATE_RUN_AS_ROOT=true`      | Never touched                                          | Not supported     |
+| Granular root       | `FRIGATE_ROOT_SERVICES=frigate` | Aligned at boot; recordings and exports also at create | Not supported     |
+
+`PUID`/`PGID` remapping runs `usermod` at startup, which writes to `/etc/passwd`, so it can't work with a read-only root filesystem. That combination stops at startup with a message pointing here. `EXTRA_GROUPS` writes to `/etc/group` and stops the same way; use Docker's `group_add:` instead, which needs no writes inside the container. The default mode and Docker's `user:` mode both work with `read_only: true`; see [Hardened deployment](#hardened-deployment).
+
+`FRIGATE_RUN_AS_ROOT` is matched against the exact lowercase string `true`. `True`, `TRUE`, and `1` are all ignored. `FRIGATE_DEVICE_ACLS` works the same way: only the lowercase string `false` turns off the automatic device grants.
+
+### Keeping individual services root
+
+`FRIGATE_ROOT_SERVICES` takes a comma separated list of `frigate`, `go2rtc`, and `nginx`. A listed service keeps running as root, and everything else about non-root operation still applies: `PUID`/`PGID` remapping, the ownership sweep, and ownership of the files those services create.
+
+There are two reasons to use it:
+
+- Your detector hardware won't work as an unprivileged user, even after reading [Hardware device access](#hardware-device-access). `FRIGATE_ROOT_SERVICES=frigate` keeps the main process and its detectors as root while nginx and go2rtc stay unprivileged.
+- You want everything to run as root but still want your files owned by `PUID`/`PGID` instead of root. `FRIGATE_ROOT_SERVICES=frigate,go2rtc,nginx` does that.
+
+Try the device grants and `EXTRA_GROUPS` first. The `frigate` service runs the API and every ffmpeg process that decodes your camera streams, so listing it puts those back on root as well, not just your detectors.
+
+A listed service also stops honoring a [custom ffmpeg or go2rtc build](/configuration/advanced/system#custom-dependencies) kept in `/config`, since that directory stays owned by the unprivileged user and a binary there would run as root. `FRIGATE_RUN_AS_ROOT=true` has no such restriction.
+
+Recordings and exports are owned by `PUID`/`PGID` as soon as they're written, even by a root service. Snapshots, thumbnails, and other files under `clips/` are corrected on each restart, so they can show as root-owned from the host until then. A listed service also keeps root's home directory, so library caches go to the container layer instead of `/config`. The same applies to the [detector runtimes](/frigate/network_requirements#detector-runtimes) Frigate installs at first start (Hailo, MemryX, AXEngine): a root `frigate` service installs them into `/root/.local`, which is lost when the container is recreated, and never loads a copy left behind in `/config/.local`.
+
+Listing all three services is not the same as `FRIGATE_RUN_AS_ROOT=true`. The escape hatch never touches ownership; the list keeps the ownership handling active. A few more details:
+
+- An unknown name in the list stops the container at startup, rather than silently leaving a service unprivileged.
+- Changing the list runs the full ownership sweep once on the next boot.
+- If both are set, `FRIGATE_RUN_AS_ROOT=true` wins and the list is ignored.
+- With Docker's `user:`, the list does nothing, since the container never has root to keep.
+
+## Migrating an existing install
+
+Volumes from earlier versions of Frigate are owned by root, so ownership has to be aligned with the runtime user once. This happens automatically on the first boot after upgrading.
+
+On large recordings volumes, do it from the host beforehand instead. The boot sweep runs before any service starts, so a multi-terabyte `/media/frigate` can hold the container in startup long enough for Docker's healthcheck to mark it unhealthy, and orchestrators that watch health will restart it mid-sweep. If you'd rather not run the script, raise the healthcheck start period instead (`--start-period=1800s`, or `start_period: 1800s` under `healthcheck:` in compose).
+
+Grab [`fix-permissions.sh`](https://github.com/blakeblackshear/frigate/blob/dev/docker/migration/fix-permissions.sh) from the Frigate repo and dry run it first:
+
+```bash
+./fix-permissions.sh --dry-run /path/to/your/config /path/to/your/storage
+```
+
+That reports how many entries would change and touches nothing. When it looks right, run it without `--dry-run`:
+
+```bash
+./fix-permissions.sh /path/to/your/config /path/to/your/storage
+```
+
+Pass `PUID` and `PGID` as the third and fourth arguments if you're not using the default `1000:1000`. The script wraps the same helper the container uses, so the result is identical either way. Override the image it pulls with `FRIGATE_IMAGE=...` if you're not on `stable`.
+
+Both the script and the boot sweep report progress, so you can tell a slow sweep from a stuck one:
+
+```
+[INFO] fix-ownership: scanning /media/frigate for ownership mismatches; this may take a while on large filesystems
+[WARN] fix-ownership: adjusting ownership of 4823941 entries under /media/frigate
+[INFO] fix-ownership: /media/frigate 5% (241197/4823941 entries)
+[INFO] fix-ownership: /media/frigate 10% (482394/4823941 entries)
+[INFO] fix-ownership: finished /media/frigate in 12m 4s
+```
+
+The scan has no percentage because the total isn't known until it finishes. Watch the boot sweep with `docker logs -f frigate`.
+
+Once the volumes are aligned, start Frigate normally. A file at `/config/.permissions_version` records what was done, so later boots skip the sweep unless you change `PUID`/`PGID`.
+
+If something under your volumes can't be chowned, a read-only btrfs snapshot directory for example, the sweep warns and names the path and doesn't record the migration as finished. It retries on the next boot instead. Either move those paths outside `/media/frigate` or expect the scan to repeat.
+
+### Network storage
+
+Recordings on a NAS behave differently, so check what you have before migrating:
+
+```bash
+findmnt -T /path/to/your/storage -o TARGET,FSTYPE,OPTIONS
+```
+
+**SMB and CIFS** don't store per-file ownership at all. It's synthesized from the mount options, so a per-file `chown` fails and isn't needed. Mount the share as the uid and gid Frigate runs as, and every file already looks correct to the sweep:
+
+```
+//nas/frigate /media/frigate cifs credentials=/root/.smb,uid=1000,gid=1000,file_mode=0664,dir_mode=0775 0 0
+```
+
+**NFS** exports default to `root_squash` on most servers, which maps the container's root to `nobody`. The chown then fails, you get `[WARN] fix-ownership: some entries under /media/frigate could not be updated`, and since the sweep didn't finish it doesn't record the migration, so it retries on every boot.
+
+The best fix is to not chown over NFS at all. Do it on the server, where there's no squash and no network round trip per file:
+
+```bash
+# on the NAS itself, against the exported directory
+chown -R 1000:1000 /export/frigate
+```
+
+Frigate's sweep then finds nothing to change and records the migration normally. If you can't get a shell on the server, you can export temporarily with `no_root_squash`, migrate, and put it back, or leave ownership alone and set `PUID`/`PGID` to whichever uid already owns the files.
+
+Either way the uid has to mean the same thing on both machines. NFS sends numeric uids, so container uid 1000 is uid 1000 on the server no matter what the usernames are.
+
+Expect the first boot to be slow even when nothing needs changing, because checking ownership costs a round trip per file. That's a one-time cost. **If the sweep runs on every boot rather than once, ownership isn't actually being applied**, and the warning above will say so.
+
+Keep `/config` on local storage either way. Frigate's database is SQLite and network shares handle its locking poorly. That's a long-standing recommendation, not something running non-root introduces.
+
+## Rolling back
+
+Set `FRIGATE_RUN_AS_ROOT=true` and restart. Everything runs as root again, exactly as it did before. This is the fastest way to get a broken install running while you sort out a device permission problem.
+
+The escape hatch never changes ownership, and it clears the record of the last sweep on startup, so switching back to non-root later corrects whatever root created in the meantime. Toggling in either direction is safe.
+
+## Hardware device access
+
+Frigate grants the runtime user access to your devices at startup. Pass your hardware with `--device` (or `devices:` in compose) and detection and hardware acceleration work with no group or udev setup on the host.
+
+The grant covers the common accelerator and camera nodes: GPU render nodes, Intel/AMD NPUs (`/dev/accel`), Coral, Hailo, Rockchip, Jetson, `/dev/video*`, and the USB bus. For hardware it misses, add your own paths with `DEVICE_ACL_PATHS`, a comma separated list of globs:
+
+```yaml
+environment:
+  DEVICE_ACL_PATHS: "/dev/mydev*"
+```
+
+Set `FRIGATE_DEVICE_ACLS=false` if you manage device permissions yourself and want Frigate to leave them alone.
+
+Frigate grants access by adding an ACL entry for the runtime users. The device's owner and mode are unchanged, and nothing is made world accessible. One thing to know: `--device` nodes belong to the container, but a bind mounted `/dev/bus/usb` (the usual Coral USB setup) shares the host's device nodes, so the entry is visible on the host until udev recreates the node.
+
+### Manual setup
+
+You only need this for hardware the automatic grant can't reach, or for Docker's `user:` mode, where there's no root startup to do the granting.
+
+Your accelerator most likely worked in older versions because Frigate ran as root. Device nodes are usually owned by `root:root`, and root either matches the group or skips the check entirely. The runtime user does neither, so a device that worked before can become unreadable with no change to your Frigate config.
+
+#### Read what your device requires
+
+Find the node and look at its owner, group, and mode:
+
+```bash
+ls -ln /dev/dri/renderD128
+crw-rw---- 1 0 105 226, 128 Jul  5 10:12 /dev/dri/renderD128
+#          ^ ^  ^
+#          | |  group GID 105
+#          | owner UID 0 (root)
+#          mode: owner rw, group rw, other none
+```
+
+Then work out which of the three permission sets applies to the runtime user. It isn't the owner, since that's root, so it gets the group bits if it belongs to that GID and otherwise falls through to "other". In the example above "other" is empty, so without membership in group 105 the runtime user can't open the node.
+
+Watch for a node that looks permissive but isn't. A USB Coral defaults to this:
+
+```bash
+ls -ln /dev/bus/usb/004/003
+crw-rw-r-- 1 0 0 189, 386 Jul  5 10:12 /dev/bus/usb/004/003
+```
+
+The group is `0`, so "other" applies to the runtime user, and "other" here is read only. `libedgetpu` needs to write to the node, so detection fails with `No EdgeTPU was detected` as though no Coral were attached. Read access alone isn't enough for most accelerators.
+
+#### Grant access
+
+Give the runtime user the GID with `EXTRA_GROUPS`, a comma separated list of numeric host GIDs. They're added to both the `frigate` and `go2rtc` users, which matters because go2rtc needs its own render and video access for hardware accelerated restreams.
+
+```yaml
+environment:
+  EXTRA_GROUPS: "105,44" # host render and video GIDs
+```
+
+Use numeric GIDs from the host, not names. Group names don't have to match between the host and the container, and the kernel only checks the number. If the GID doesn't exist in the image, Frigate creates a placeholder group for it.
+
+Two things that look like they should work but don't:
+
+- Docker's `group_add` has no effect in the default or `PUID` modes. Frigate rebuilds the supplementary group list from `/etc/group` when it drops privileges, which discards what Docker passed in. It is the right tool with Docker's `user:`, where no privilege drop happens and `EXTRA_GROUPS` does nothing.
+- `privileged: true` doesn't help. It grants capabilities to root, and the runtime user isn't root, so the file permissions on the node still apply.
+
+If the node's group is `root` or the mode denies the group, no `EXTRA_GROUPS` value will help. You need a udev rule first.
+
+#### Verify access
+
+Check the group landed, then check the runtime user can open the node. Test for write, not just read:
+
+```bash
+docker exec frigate id frigate
+docker exec frigate /command/s6-setuidgid frigate sh -c 'test -w /dev/dri/renderD128 && echo ok'
+docker exec frigate /command/s6-setuidgid go2rtc  sh -c 'test -w /dev/dri/renderD128 && echo ok'
+```
+
+A permission check is only a proxy for the driver working. These exercise the real libraries as the runtime user:
+
+```bash
+docker exec frigate /command/s6-setuidgid frigate vainfo
+docker exec frigate /command/s6-setuidgid frigate python3 -c "import openvino as ov; print(ov.Core().available_devices)"
+```
+
+`vainfo` should reach `va_openDriver() returns 0` and list profiles. Complaints about `XDG_RUNTIME_DIR` or an X server above that are normal. OpenVINO should list `GPU`; if it returns only `CPU`, detection has fallen back and inference will be much slower without an error in the log.
+
+To tell a permissions problem from anything else, start the container once with `FRIGATE_RUN_AS_ROOT=true`. If the device works as root and not otherwise, it's node permissions and a udev rule is the fix. If it's missing either way, the problem is your device mapping or the host, and isn't related to running non-root.
+
+#### udev rules by device
+
+Rules go in `/etc/udev/rules.d/` on the host and take effect after:
+
+```bash
+sudo udevadm control --reload-rules && sudo udevadm trigger
+```
+
+A device that's already connected sometimes keeps its original ownership through a trigger. If `ls -ln` doesn't show the new group, replug it, or reboot for a built-in device.
+
+**Coral USB** needs two rules, because the device re-enumerates after loading firmware. It appears as Global Unichip `1a6e` before and Google `18d1` after, with a different node each time. A rule covering only `1a6e` gives you a Coral that starts up once and then disappears mid-run.
+
+```
+SUBSYSTEM=="usb", ATTRS{idVendor}=="1a6e", GROUP="plugdev", MODE="0664"
+SUBSYSTEM=="usb", ATTRS{idVendor}=="18d1", GROUP="plugdev", MODE="0664"
+```
+
+Map the whole `/dev/bus/usb` rather than a single node, for the same reason. Most hosts put `plugdev` at GID 46 and the image agrees, so a USB Coral often needs no `EXTRA_GROUPS` entry. Confirm with `getent group plugdev` and add the number if your host differs.
+
+**Coral PCIe** is often `crw------- root root`, which only root can open:
+
+```
+SUBSYSTEM=="apex", MODE="0660", GROUP="apex"
+```
+
+Create the group with `sudo groupadd -f apex`, then add its GID to `EXTRA_GROUPS`.
+
+**Hailo** works the same way. Grant `/dev/hailo0` a group and add that GID:
+
+```
+SUBSYSTEM=="hailo_chardev", MODE="0660", GROUP="hailo"
+```
+
+**Intel and AMD GPUs** usually need nothing beyond `EXTRA_GROUPS`, since most distributions ship a `render` group that owns `/dev/dri/renderD128`. The GID often differs between the host and the image, so pass the host's number rather than assuming the name resolves. Debian based images have no `render` group at all.
+
+#### Quick reference
+
+What each device needs when you're setting it up by hand. The automatic grant covers most of these already, so start here only if it didn't.
+
+| Hardware                  | Device(s)                                                   | What non-root needs                                                                                              |
+| ------------------------- | ----------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------- |
+| Intel/AMD GPU (VAAPI/QSV) | `/dev/dri/renderD128`                                       | Host render GID in `EXTRA_GROUPS`, from `getent group render`                                                    |
+| Intel/AMD NPU             | `/dev/accel`                                                | udev rule granting a group, then that GID in `EXTRA_GROUPS`                                                      |
+| Coral USB                 | `/dev/bus/usb`                                              | udev rules for both `1a6e` and `18d1`; usually already covered by `plugdev` 46                                   |
+| Coral PCIe                | `/dev/apex_0`                                               | udev rule granting a group, then that GID in `EXTRA_GROUPS`                                                      |
+| Hailo                     | `/dev/hailo0`                                               | udev rule granting a group, then that GID in `EXTRA_GROUPS`                                                      |
+| NVIDIA                    | nvidia runtime                                              | Nothing, works with the nvidia-container-toolkit defaults                                                        |
+| AMD ROCm                  | `/dev/kfd`, `/dev/dri`                                      | Host `video` and `render` GIDs in `EXTRA_GROUPS`                                                                 |
+| Raspberry Pi              | `/dev/video11`                                              | Host `video` GID in `EXTRA_GROUPS`                                                                               |
+| Rockchip                  | `/dev/dri`, `/dev/dma_heap`, `/dev/rga`, `/dev/mpp_service` | Commonly `root:root` `0600`, so all four need udev rules. If you can't grant all four, use `FRIGATE_RUN_AS_ROOT` |
+| Axera (AXCL)              | `/dev/ax_*` per the AXCL driver docs                        | Unverified. Check node ownership on your hardware before assuming this works                                     |
+| Synaptics SL1680          | per the Synaptics docs                                      | Unverified                                                                                                       |
+| MemryX                    | per the MemryX docs                                         | Still requires `privileged: true`, which means root. Out of scope for non-root operation                         |
+| Nvidia Jetson             | nvidia runtime plus Jetson nodes                            | Unverified. The nvidia runtime handles mapping, but check `/dev/nvhost-*` ownership on your board                |
+| VeriSilicon NPU (Teflon)  | per the driver, commonly `/dev/galcore`                     | Unverified. Check node ownership on your hardware before assuming this works                                     |
+| CPU detector              | none                                                        | Nothing, no device is opened                                                                                     |
+| ZMQ detector              | none                                                        | Nothing, inference happens over a socket                                                                         |
+| Apple Silicon             | none                                                        | Nothing, the NPU client runs on the host and Frigate reaches it over the network                                 |
+
+## Hardened deployment
+
+A read-only root filesystem means the container can't modify itself, only the volumes you give it. It works in the default mode and under Docker's `user:`, but not with `PUID`/`PGID` or `EXTRA_GROUPS`, which both need to write to `/etc`.
+
+Start with the default mode. It keeps go2rtc on its own restricted user and still grants your hardware automatically, at the cost of a short root startup that finishes before any service runs.
+
+```yaml
+services:
+  frigate:
+    container_name: frigate
+    image: ghcr.io/blakeblackshear/frigate:stable
+    restart: unless-stopped
+    stop_grace_period: 30s
+    read_only: true
+    security_opt:
+      - no-new-privileges:true
+    shm_size: "512mb" # size for your cameras, see the shm-size calculation
+    devices:
+      - /dev/dri/renderD128:/dev/dri/renderD128 # your hardware, granted at startup
+    volumes:
+      - /etc/localtime:/etc/localtime:ro
+      - /path/to/your/config:/config
+      - /path/to/your/storage:/media/frigate
+    tmpfs:
+      - /tmp:size=256m
+      - /tmp/cache:size=1000000000 # recording segments, sized as before
+      - /run:exec,nosuid,nodev,mode=0755,size=16m
+    ports:
+      - "8971:8971"
+      - "8554:8554" # RTSP feeds
+      - "8555:8555/tcp" # WebRTC over tcp
+      - "8555:8555/udp" # WebRTC over udp
+```
+
+`/run` has to allow `exec`. With a read-only root filesystem s6 copies its service scripts into `/run` and runs them from there, and tmpfs mounts default to `noexec`. The equivalent for `docker run` is `--tmpfs /run:exec,nosuid,nodev,mode=0755`. Spelling out `nosuid` and `nodev` matters: passing any tmpfs options replaces Docker's defaults instead of adjusting them, so asking for `exec` alone would drop those two as well.
+
+Size `/tmp` deliberately. It now carries nginx's config copy and its five proxy temp directories as well as the recording cache. Keeping `/tmp/cache` as its own nested tmpfs, as above, leaves your existing [cache sizing](/frigate/installation#storage) untouched and adds a small allowance for nginx. If you'd rather use one tmpfs over all of `/tmp`, size it as your cache budget plus roughly 50MB, or recordings begin failing once the cache fills.
+
+The self signed certificate is written to `/config/tls`, which stays writable. Certificates you mount at `/etc/letsencrypt/live/frigate` work unchanged and still take precedence.
+
+[Detector runtimes](/frigate/network_requirements#detector-runtimes) that Frigate installs at first start (Hailo, MemryX, AXEngine) are staged in `/tmp` and installed into `/config/.local`, so they work with a read-only root filesystem in the default mode and under `user:`. A root `frigate` service installs into `/root/.local` instead, which a read-only root filesystem prevents; either leave `frigate` out of `FRIGATE_ROOT_SERVICES` or drop `read_only`.
+
+Soak a hardened deployment for 24 hours against real cameras before relying on it. A read-only root filesystem turns an occasional write into a failure that startup won't reveal.
+
+### Never starting as root
+
+To remove root from the container entirely, add Docker's `user:`:
+
+```yaml
+    user: "1000:1000" # NOT compatible with PUID/PGID, see the run modes table
+```
+
+Two things change, and the first one will break a working install if you skip it. The startup device grants can't run, because there is no root left to run them, so every device you pass stops working until you grant that uid access yourself with `group_add:` or a udev rule; see [Manual setup](#manual-setup). Expect this to surface as a driver error rather than a permission error, like `No VA display found` from VAAPI. And every service then runs as that one uid, so go2rtc no longer gets its own restricted user. `/config` and `/media/frigate` have to be owned by that uid already, since Frigate never adjusts ownership in this mode. Switching an existing install over also leaves `/config/go2rtc_homekit.yml` owned by the go2rtc user, which this mode can't write; `chown` it to your uid or HomeKit pairing changes stop persisting. Frigate warns and starts either way.
+
+This mode can also take `cap_drop: [ALL]`, which the default mode cannot: starting as root needs `CAP_CHOWN` for the ownership sweep, `CAP_SETUID` and `CAP_SETGID` to drop to the runtime user, and `CAP_FOWNER` for the device grants.
+
+### Per-variant exceptions
+
+- **Rockchip** needs `- /sys/:/sys/:ro` alongside its device nodes, in addition to everything above.
+- **MemryX** and **QNAP Container Station** still require `privileged: true` per their own documentation, which gives back most of what this layout removes. MemryX also downloads its models to `/memryx_models` on the root filesystem, so it can't run read-only regardless. Its SDK is installed into `/config/.local` like the other detector runtimes.
+
+## Network isolation
+
+Everything above limits what a compromised container can do to the host. It doesn't limit what your cameras can do to your network. Camera firmware is closed source, rarely patched, and not something you can audit, and none of it needs internet access for Frigate to work.
+
+Put the cameras on their own VLAN or subnet, give the Frigate host a route into it, and deny that VLAN any route out. Frigate reaches in to pull streams, the cameras reach nothing. A second NIC on the Frigate host is the simplest version of this, and a tagged VLAN on the NIC you already have works just as well.
+
+Here's the deny as nftables on the router, with cameras on `vlan20` and the Frigate host at `192.168.10.5`:
+
+```
+table inet cameras {
+  chain forward {
+    type filter hook forward priority filter; policy accept;
+
+    ct state established,related accept
+    iifname "vlan20" ip daddr 192.168.10.5 accept
+    iifname "vlan20" drop
+  }
+}
+```
+
+It's in its own table so it can sit alongside an existing ruleset without touching it. Streams keep working because Frigate opens those connections and the return traffic is `established`. Cameras can still reach each other on their own VLAN, since that traffic never reaches the router, so use client isolation on the switch if that matters to you.
+
+Two things break when you do this. The manufacturer's phone app stops working, which is the point, and camera clocks drift, because most of them set their time over NTP and are bad at it. Point them at an NTP server on your own network rather than opening the VLAN back up, or their timestamps and Frigate's will disagree.
+
+Frigate itself needs some outbound access, though nearly all of it is optional. The startup version check is the only piece that's on by default, and `telemetry.version_check: false` turns it off. Everything else (model downloads for the enrichment features, push notifications, Frigate+, and cloud GenAI providers) only reaches out once you enable that feature. See [Network Requirements](/frigate/network_requirements) for the full list and how to run fully offline.
+
+For containers that only talk to each other, an internal compose network gets you the same isolation without involving the router:
+
+```yaml
+services:
+  frigate:
+    networks: [default, iot]
+    # the rest of your frigate service
+  mosquitto:
+    image: eclipse-mosquitto
+    networks: [iot]
+
+networks:
+  iot:
+    internal: true
+```
+
+`internal: true` gives that network no route off the host, so the broker isn't reachable from anywhere else on your LAN. Frigate sits on both networks and keeps its normal outbound path.
+
+One Docker specific trap: published ports are inserted ahead of the host firewall, so `ufw deny 8971` doesn't do what it looks like it does. Bind the port to the interface you want instead, like `127.0.0.1:8971:8971` for a reverse proxy on the same host, or your LAN address for everything else.
+
+## Known limitations
+
+`telemetry.stats.network_bandwidth` uses nethogs, which needs `CAP_NET_ADMIN` and `CAP_NET_RAW` and therefore root. The stat is turned off automatically when Frigate isn't running as root, with one warning in the log. Use `FRIGATE_ROOT_SERVICES=frigate` (or `FRIGATE_RUN_AS_ROOT=true`) if you need it.
+
+go2rtc's ffmpeg processes no longer appear in Intel GPU stats. Frigate reads per-process GPU usage from `/proc/<pid>/fdinfo`, which the kernel won't let one user read for another user's processes, so anything go2rtc spawns is invisible to it. Overall GPU utilization is unaffected.
+
+If you mount your own TLS certificate at `/etc/letsencrypt/live/frigate`, the private key has to be readable by the runtime user, which runs nginx. Frigate hands the key to that user at startup if the mount is writable; on a read-only mount, make the key readable by uid 1000 (or your `PUID`) yourself.
+
+If you're debugging nginx, run the config check as the runtime user with stdout discarded:
+
+```bash
+docker exec frigate /command/s6-setuidgid frigate bash -c 'nginx -t -c /tmp/nginx/conf/nginx.conf >/dev/null'
+```
+
+Running `nginx -t` as root hands nginx's runtime directories to root as a side effect, which breaks the running workers until the service restarts, and the config's `/dev/stdout` logs can't be reopened through a root-owned `docker exec` pipe. The results print on stderr either way.
@@ -68,19 +68,73 @@ Frigate supports multiple different detectors that work on different types of ha

 :::note

-Multiple detectors can not be mixed for object detection (ex: OpenVINO and Coral EdgeTPU can not be used for object detection at the same time).
+A single model can not be spread across different detector types (ex: OpenVINO and Coral EdgeTPU can not run the same model at the same time). Configuring more than one model, each on its own detector type, is supported.

 This does not affect using hardware for accelerating other tasks such as [semantic search](./semantic_search.md)

 :::

+### Configuring models and hardware
+
+Object detection is configured with a `models` list. Each entry describes one model and the hardware it runs on:
+
+```yaml
+models:
+  - devices:
+      - openvino:GPU
+    path: /config/model_cache/yolov9-s.onnx
+    model_type: yolo-generic
+    width: 320
+    height: 320
+```
+
+Each entry in `devices` is a detector type, optionally followed by a colon and a device for that detector, such as `edgetpu:pci:0`, `openvino:NPU`, or `tensorrt:0`. The per-detector sections below document the device values each one accepts. Listing several devices runs the model on all of them, and listing the **same** device more than once runs additional inference processes against it, which can improve throughput on hardware that keeps up with more than one stream:
+
+```yaml
+models:
+  - devices:
+      - openvino:GPU
+      - openvino:GPU
+```
+
+Coral EdgeTPU and MemryX accelerators can only be opened by one process, so those devices can not be repeated.
+
+### Running more than one model
+
+Cameras can be split across models by scene, which is useful when indoor and outdoor cameras benefit from differently trained models. Each model declares the `scene` it is for, and each camera picks one with `detect -> scene`:
+
+```yaml
+models:
+  - scene: outdoor
+    path: plus://your-outdoor-model
+    devices:
+      - edgetpu:pci:0
+  - scene: indoor
+    path: /config/model_cache/indoor.onnx
+    model_type: yolo-generic
+    devices:
+      - openvino:GPU
+
+cameras:
+  driveway:
+    detect:
+      scene: outdoor
+    ...
+  hallway:
+    detect:
+      scene: indoor
+    ...
+```
+
+Available scenes are `all`, `indoor`, `outdoor`, `indoor_thermal`, and `outdoor_thermal`. A model with a scene of `all` is used by every camera that does not set one, and `all` is the default when a model does not declare a scene. Changing a camera's scene requires a restart.
+
 ### Choosing a model size

 Along with picking a detector for your hardware, you will choose a model's **input resolution** (such as `320x320` or `640x640`) and, for model families like YOLOv9, a **variant size** (`tiny`, `small`, etc.). Both affect the balance between accuracy and the inference time your hardware can sustain.

 **Resolution (320x320 vs 640x640):** Frigate is optimized for `320x320` models, and `320x320` is the best choice for the vast majority of setups. Frigate is specifically designed to compensate for the smaller model by cropping a region of motion from the full frame and zooming into it before running detection, so a `320x320` model is actually _better_ at small and distant objects, not worse. A `640x640` model is slower and uses more resources, and its main benefit is fitting more objects into a single inference when many objects are spread across a large area. Recent versions of Frigate have improved support for `640x640` models, but `320x320` remains the recommended starting point for nearly all setups.

-**Variant size (tiny/small/medium):** Larger variants are gradually more accurate but slower. Whether the difference is noticeable depends on your specific cameras and scenes. A good rule of thumb is to use the largest model your hardware can run without skipping detections, which you can monitor on the <NavPath path="System > Metrics > Cameras" /> page in the UI. Better accuracy only helps if your detector keeps up with the detection load across all cameras.
+**Variant size (tiny/small/medium):** Larger variants are gradually more accurate but slower. Whether the difference is noticeable depends on your specific cameras and scenes. A good rule of thumb is to use the largest model your hardware can run without skipping detections, which you can monitor on the <NavPath path="Health and Metrics > Cameras" /> page in the UI. Better accuracy only helps if your detector keeps up with the detection load across all cameras.

 **Acceptable inference time depends on your hardware.** Inference time alone does not tell the whole story, because different hardware has different capacity. A GPU can run multiple instances of the same model concurrently, so an inference time around 30ms can still keep up with several cameras. A Google Coral runs only a single instance of the model, so it needs a much lower inference time (around 10ms) to keep up.

@@ -92,11 +146,11 @@ The best detection accuracy comes from a model trained on images that look like

 # Officially Supported Detectors

-Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. When using multiple detectors they will run in dedicated processes, but pull from a common queue of detection requests from across all cameras.
+Frigate provides a number of builtin detector types. By default, Frigate will use a single CPU detector. Other detectors may require additional configuration as described below. Each of a model's devices runs in a dedicated process, and they pull from a common queue of detection requests from the cameras assigned to that model.

 ## Edge TPU Detector

-The Edge TPU detector type runs TensorFlow Lite models utilizing the Google Coral delegate for hardware acceleration. To configure an Edge TPU detector, set the `"type"` attribute to `"edgetpu"`.
+The Edge TPU detector type runs TensorFlow Lite models utilizing the Google Coral delegate for hardware acceleration. To use it, prefix a model's device with `edgetpu`.

 The Edge TPU device can be specified using the `"device"` attribute according to the [Documentation for the TensorFlow Lite Python API](https://coral.ai/docs/edgetpu/multiple-edgetpu/#using-the-tensorflow-lite-python-api). If not set, the delegate will use the first device it finds.

@@ -111,16 +165,15 @@ See [common Edge TPU troubleshooting steps](/troubleshooting/edgetpu) if the Edg
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `usb`.
+Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (USB)** from the **Hardware** dropdown.

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

 ```yaml
-detectors:
-  coral:
-    type: edgetpu
-    device: usb
+models:
+  - devices:
+      - edgetpu:usb
 ```

 </TabItem>
@@ -131,19 +184,16 @@ detectors:
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `usb:0` and `usb:1` as the device for each.
+Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (USB)** from the **Hardware** dropdown and check each Coral the model should run on.

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

 ```yaml
-detectors:
-  coral1:
-    type: edgetpu
-    device: usb:0
-  coral2:
-    type: edgetpu
-    device: usb:1
+models:
+  - devices:
+      - edgetpu:usb:0
+      - edgetpu:usb:1
 ```

 </TabItem>
@@ -156,16 +206,15 @@ _warning: may have [compatibility issues](https://github.com/blakeblackshear/fri
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then leave the device field empty.
+Navigate to <NavPath path="Settings > System > Detection models" /> and select the **Coral EdgeTPU** entry from the **Hardware** dropdown.

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

 ```yaml
-detectors:
-  coral:
-    type: edgetpu
-    device: ""
+models:
+  - devices:
+      - 'edgetpu:'
 ```

 </TabItem>
@@ -176,16 +225,15 @@ detectors:
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add**, then set device to `pci`.
+Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (PCIe)** from the **Hardware** dropdown.

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

 ```yaml
-detectors:
-  coral:
-    type: edgetpu
-    device: pci
+models:
+  - devices:
+      - edgetpu:pci
 ```

 </TabItem>
@@ -196,19 +244,16 @@ detectors:
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors, specifying `pci:0` and `pci:1` as the device for each.
+Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (PCIe)** from the **Hardware** dropdown and check each Coral the model should run on.

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

 ```yaml
-detectors:
-  coral1:
-    type: edgetpu
-    device: pci:0
-  coral2:
-    type: edgetpu
-    device: pci:1
+models:
+  - devices:
+      - edgetpu:pci:0
+      - edgetpu:pci:1
 ```

 </TabItem>
@@ -219,19 +264,16 @@ detectors:
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and select **EdgeTPU** from the detector type dropdown and click **Add** to add multiple detectors with different device types (e.g., `usb` and `pci`).
+Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (USB)** from the **Hardware** dropdown. USB and PCIe Corals are listed as separate hardware, so mixing the two on one model has to be done in YAML.

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

 ```yaml
-detectors:
-  coral_usb:
-    type: edgetpu
-    device: usb
-  coral_pci:
-    type: edgetpu
-    device: pci
+models:
+  - devices:
+      - edgetpu:usb
+      - edgetpu:pci
 ```

 </TabItem>
@@ -255,6 +297,12 @@ If no custom model is provided, the Hailo detector downloads a default model fro

 :::

+:::info
+
+The HailoRT runtime is not part of the Frigate image. It is downloaded and installed into `/config/.local` the first time a Hailo detector is configured, verified against pinned checksums, and updated automatically when a Frigate release pins a new version. If the container has no internet access, see [Detector runtimes](/frigate/network_requirements#detector-runtimes) for how to provide the files yourself.
+
+:::
+
 ### Configuration {#configuration-hailo}

 When configuring the Hailo detector, you have two options to specify the model: a local **path** or a **URL**.
@@ -273,7 +321,7 @@ Hailo8 supports all models in the Hailo Model Zoo that include HailoRT post-proc

 ## OpenVINO Detector

-The OpenVINO detector type runs an OpenVINO IR model on AMD and Intel CPUs, Intel GPUs and Intel NPUs. To configure an OpenVINO detector, set the `"type"` attribute to `"openvino"`.
+The OpenVINO detector type runs an OpenVINO IR model on AMD and Intel CPUs, Intel GPUs and Intel NPUs. To use it, prefix a model's device with `openvino`.

 The OpenVINO device to be used is specified using the `"device"` attribute according to the naming conventions in the [Device Documentation](https://docs.openvino.ai/2025/openvino-workflow/running-inference/inference-devices-and-modes.html). The most common devices are `CPU`, `GPU`, or `NPU`.

@@ -286,19 +334,18 @@ OpenVINO is supported on 6th Gen Intel platforms (Skylake) and newer. It will al
 When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming GPU resources are available. An example configuration would be:

 ```yaml
-detectors:
-  ov_0:
-    type: openvino
-    device: GPU # or NPU
-  ov_1:
-    type: openvino
-    device: GPU # or NPU
+models:
+  - devices:
+      - openvino:GPU # or NPU
+      - openvino:GPU # or NPU
 ```

 :::

 ### Intel NPU host requirements {#intel-npu-requirements}

+The NPU device must be passed into the container by adding `/dev/accel:/dev/accel` to the `devices` section of your compose file. Frigate grants the runtime user access to the device automatically; see [hardware device access](/configuration/non_root#hardware-device-access) if you manage device permissions yourself.
+
 The NPU firmware is loaded by the host kernel and is not part of the Frigate image. Everything else the NPU needs is bundled in the container, so host NPU libraries should never be mounted in.

 Frigate bundles a specific version of Intel's [linux-npu-driver](https://github.com/intel/linux-npu-driver/releases), and the host firmware must come from that release or a newer one. Firmware older than the bundled driver may fail with `MAPPED_INFERENCE_VERSION is NOT compatible with the ELF`, where `Expected` is the version the firmware supports and `received` is the version the bundled compiler produced. Distributions often package older firmware than the driver Frigate ships, so check the build date on the host with `sudo dmesg | grep -i vpu` and update it there if needed.
@@ -313,6 +360,12 @@ Intel NPUs cannot be used under Home Assistant OS, which does not include the NP

 ## Apple Silicon detector

+:::warning
+
+The network-based detectors (Deepstack and the Apple Silicon client) are being reworked. Their extra options no longer have a place in the config, so only the endpoint carried in the device string is honored right now: Deepstack ignores `api_key` and `api_timeout`, and the Apple Silicon client ignores `request_timeout_ms` and `linger_ms`. Anything else is dropped when your config is migrated.
+
+:::
+
 The NPU in Apple Silicon can't be accessed from within a container, so the [Apple Silicon detector client](https://github.com/frigate-nvr/apple-silicon-detector) must first be setup. It is recommended to use the Frigate docker image with `-standard-arm64` suffix, for example `ghcr.io/blakeblackshear/frigate:stable-standard-arm64`.

 ### Setup {#setup-apple-silicon}
@@ -453,11 +506,10 @@ If the correct build is used for your GPU then the GPU will be detected and used
 When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming GPU resources are available. An example configuration would be:

 ```yaml
-detectors:
-  onnx_0:
-    type: onnx
-  onnx_1:
-    type: onnx
+models:
+  - devices:
+      - onnx
+      - onnx
 ```

 :::
@@ -470,7 +522,7 @@ detectors:

 ## CPU Detector (not recommended)

-The CPU detector type runs a TensorFlow Lite model utilizing the CPU without hardware acceleration. It is recommended to use a hardware accelerated detector type instead for better performance. To configure a CPU based detector, set the `"type"` attribute to `"cpu"`.
+The CPU detector type runs a TensorFlow Lite model utilizing the CPU without hardware acceleration. It is recommended to use a hardware accelerated detector type instead for better performance. To use it, set a model's device to `cpu`.

 :::danger

@@ -480,7 +532,7 @@ The CPU detector is not recommended for general use. If you do not have GPU or E

 The number of threads used by the interpreter can be specified using the `"num_threads"` attribute, and defaults to `3.`

-A TensorFlow Lite model is provided in the container at `/cpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with `model.path`.
+A TensorFlow Lite model is provided in the container at `/cpu_model.tflite` and is used by this detector type by default. To provide your own model, bind mount the file into the container and provide the path with the model's `path`.

 ### Configuration {#configuration-cpu}

@@ -490,6 +542,12 @@ When using CPU detectors, you can add one CPU detector per camera. Adding more d

 ## Deepstack / CodeProject.AI Server Detector

+:::warning
+
+The network-based detectors (Deepstack and the Apple Silicon client) are being reworked. Their extra options no longer have a place in the config, so only the endpoint carried in the device string is honored right now: Deepstack ignores `api_key` and `api_timeout`, and the Apple Silicon client ignores `request_timeout_ms` and `linger_ms`. Anything else is dropped when your config is migrated.
+
+:::
+
 The Deepstack / CodeProject.AI Server detector for Frigate allows you to integrate Deepstack and CodeProject.AI object detection capabilities into Frigate. CodeProject.AI and DeepStack are open-source AI platforms that can be run on various devices such as the Raspberry Pi, Nvidia Jetson, and other compatible hardware. It is important to note that the integration is performed over the network, so the inference times may not be as fast as native Frigate detectors, but it still provides an efficient and reliable solution for object detection and tracking.

 ### Setup {#setup-deepstack}
@@ -516,6 +574,12 @@ See the [installation docs](../frigate/installation.md#memryx-mx3) for informati

 To configure a MemryX detector, simply set the `type` attribute to `memryx` and follow the configuration guide below.

+:::info
+
+The MemryX SDK is not part of the Frigate image. It is downloaded and installed into `/config/.local` the first time a MemryX detector is configured, verified against pinned checksums, and updated automatically when a Frigate release pins a new version. If the container has no internet access, see [Detector runtimes](/frigate/network_requirements#detector-runtimes) for how to provide the files yourself.
+
+:::
+
 ### Configuration {#configuration-memryx}

 <ModelConfigDropdown detectorTitle="MemryX" models={objectDetectorsModels.memryx.models} />
@@ -552,7 +616,7 @@ For detailed instructions on compiling models, refer to the [MemryX Compiler](ht

 3. Depending on the model, the compiler may also generate a cropped post-processing network. If present, it will be named with the suffix `_post.onnx`.

-4. Bind-mount the `.zip` file into the container and specify its path using `model.path` in your config.
+4. Bind-mount the `.zip` file into the container and specify its path using the model's `path` in your config.

 5. Update `labelmap_path` to match your custom model's labels.

@@ -682,13 +746,10 @@ If no custom model is provided, the RKNN detector downloads a default model from
 When using many cameras one detector may not be enough to keep up. Multiple detectors can be defined assuming NPU resources are available. An example configuration would be:

 ```yaml
-detectors:
-  rknn_0:
-    type: rknn
-    num_cores: 0
-  rknn_1:
-    type: rknn
-    num_cores: 0
+models:
+  - devices:
+      - rknn:0
+      - rknn:0
 ```

 :::
@@ -779,6 +840,12 @@ The AXEngine detector downloads its default model from HuggingFace on first star

 :::

+:::info
+
+The AXEngine python package is not part of the Frigate image. It is downloaded and installed into `/config/.local` the first time an AXEngine detector is configured, verified against a pinned checksum, and updated automatically when a Frigate release pins a new version. If the container has no internet access, see [Detector runtimes](/frigate/network_requirements#detector-runtimes) for how to provide the file yourself.
+
+:::
+
 ### Configuration {#configuration-axengine}

 When configuring the AXEngine detector, you have to specify the model name.
@@ -9,7 +9,7 @@ import NavPath from "@site/src/components/NavPath";

 Recordings can be enabled and are stored at `/media/frigate/recordings`. The folder structure for the recordings is `YYYY-MM-DD/HH/<camera_name>/MM.SS.mp4` in **UTC time**. These recordings are written directly from your camera stream without re-encoding. Each camera supports a configurable retention policy. Frigate chooses the largest matching retention value between the recording retention and the tracked object retention when determining if a recording should be removed.

-New recording segments are written from the camera stream to cache, they are only moved to disk if they match the setup recording retention policy.
+New recording segments are written from the camera stream to cache, they are only moved to disk if they pass a validation check and match the setup recording retention policy.

 :::tip

@@ -275,6 +275,165 @@ record:

 This configuration will retain recording segments that overlap with alerts and detections for 10 days. Because multiple tracked objects can reference the same recording segments, this avoids storing duplicate footage for overlapping tracked objects and reduces overall storage needs.

+## Sub Stream Recording
+
+In addition to the main recording stream, Frigate can record a second, lower quality stream for each camera. This serves two purposes:
+
+- **Quality selection during playback**: A quality selector (`Auto`, `Original`, or `Low`) appears in History view for cameras with sub stream recording enabled. `Original` and `Low` play only that stream's recordings. Time ranges where the selected stream has no footage are skipped during playback, and the selector notes when the selected stream has no recordings at all in the viewed time range. With `Auto` (the default), playback prefers the original quality and automatically falls back to the low quality stream when the connection cannot keep up, or for time ranges where the original recordings have expired. The selector shows each stream's video codec and audio details beneath the options; footage recorded by older Frigate versions shows no details.
+- **Quality selection when exporting**: A `Quality` selector (`Auto`, `Original`, or `Low`) is available for cameras with sub stream recording enabled. See [exporting](#exporting-a-camera-that-records-two-streams) for details on each option.
+- **Extended retention**: Sub stream recordings have their own retention settings, fully independent of the main recordings. By giving the low quality recordings a longer retention period, you can keep weeks or months of low quality history using a fraction of the storage, and that history remains playable after the main recordings expire. Playback falls back to the low quality recordings automatically, and the timeline shows a muted treatment for time ranges where only low quality footage remains. Timeline previews are kept for as long as either stream still has recordings, so scrubbing works across the whole retained history.
+
+### Configuring sub stream recording
+
+Sub stream recording uses the `record_sub` input role. This role can be assigned to the same input as `detect`, so in the common case where detect already uses the camera's sub stream, no additional camera connection is needed. Like the main recording stream, sub stream segments are copied directly from the camera stream without re-encoding, so the recording quality is determined by the source stream.
+
+The following examples keep 7 days of full quality continuous recordings and 60 days of low quality continuous recordings:
+
+<ConfigTabs>
+<TabItem value="ui">
+
+Navigate to <NavPath path="Settings > Camera configuration > Streams (FFmpeg)" /> and select the camera.
+
+- In **Camera inputs**, enable the **Record (Sub Stream)** role on the stream you want to record at low quality, commonly the same stream that has the **Detect** role. Only one stream may have this role, and it cannot be assigned to the same stream as the **Record** role.
+
+Navigate to <NavPath path="Settings > Camera configuration > Recording" /> and select the camera.
+
+- Set **Enable recording** to on
+- Set **Continuous retention > Retention days** to `7`
+- Set **Sub stream recording > Enable sub stream recording** to on
+- Set **Sub stream recording > Sub stream continuous retention > Retention days** to `60`
+
+The camera setup wizard also offers the **Record (Sub Stream)** role when assigning stream roles for a newly added camera.
+
+</TabItem>
+<TabItem value="yaml">
+
+```yaml
+cameras:
+  front_door:
+    ffmpeg:
+      inputs:
+        - path: rtsp://camera/main
+          roles:
+            - record
+        - path: rtsp://camera/sub
+          roles:
+            - detect
+            - record_sub
+    record:
+      enabled: true
+      continuous:
+        days: 7
+      sub:
+        enabled: true
+        continuous:
+          days: 60
+```
+
+If your camera does not provide a suitable sub stream (or the sub stream is already used at a resolution you don't want to record), you can use a go2rtc transcode as the source for `record_sub` instead:
+
+```yaml
+go2rtc:
+  streams:
+    front_door: rtsp://camera/main
+    front_door_lq: ffmpeg:front_door#video=h264#width=854#hardware
+
+cameras:
+  front_door:
+    ffmpeg:
+      inputs:
+        - path: rtsp://127.0.0.1:8554/front_door
+          input_args: preset-rtsp-restream
+          roles:
+            - detect
+            - record
+        - path: rtsp://127.0.0.1:8554/front_door_lq
+          input_args: preset-rtsp-restream
+          roles:
+            - record_sub
+    record:
+      enabled: true
+      continuous:
+        days: 7
+      sub:
+        enabled: true
+        continuous:
+          days: 60
+```
+
+</TabItem>
+</ConfigTabs>
+
+The `record.sub` config supports the same retention structure as the main recording config: `continuous`, `motion`, `alerts`, and `detections` each with their own `days` (and `mode` for alerts and detections). The pre-capture and post-capture windows for alerts and detections are taken from the main `record.alerts` and `record.detections` config. Extending `sub.alerts.days` or `sub.detections.days` beyond the main values also keeps those review items visible in the review timeline for the longer window, with playback falling back to the low quality stream once the main recordings expire.
+
+:::note
+
+Recording must be enabled (`record.enabled`) for sub stream recording to run, and Frigate will fail to start if `record.sub.enabled` is set without a `record_sub` role assigned to one of the camera's inputs.
+
+:::
+
+### How Auto picks a quality
+
+`Auto` measures throughput on every segment download and compares it against the original stream's bitrate (computed from the recorded footage itself). Playback drops to the low quality stream when any of these happen:
+
+- A freeze lasts 4 seconds (10 seconds when it starts within 2 seconds of a seek, since the seek target is rarely buffered), or freezes total 7 seconds within the last minute.
+- 3 downloads in a row measure below the original bitrate plus 10%, dropping quality before a stall ever becomes visible.
+- No first frame appears within 10 seconds, or loading fails outright.
+
+Playback returns to full quality only when measured throughput exceeds the original bitrate by 50%, checked continuously while playing the low quality stream and again at each new hour. The asymmetric thresholds (1.1x to drop, 1.5x to return) keep a borderline connection from switching back and forth.
+
+The most recent measurement is remembered on the device: a connection last measured below the original bitrate (or below 3 Mbps when the bitrate is not yet known) starts playback on the low quality stream so a first frame appears immediately, then upgrades within a few segments if the speed allows.
+
+The quality selector shows which stream Auto is currently playing and why. A browser with Data Saver enabled stays on the low quality stream, a browser that cannot decode the original stream's codec (for example H.265 without HEVC support) plays the low quality stream for that camera, and pinning `Original` or `Low` bypasses Auto entirely.
+
+### Sub stream output args
+
+By default the sub stream is recorded with the same [output args](/configuration/ffmpeg_presets#output-args-presets) as the main recording stream, so it inherits any customization made to `ffmpeg.output_args.record`. Setting `ffmpeg.output_args.record_sub` gives the sub stream its own args instead. Like all `ffmpeg` config, this can be set globally or per camera.
+
+The most common reason to set this is a pair of streams whose audio differs. Many cameras send AAC on the main stream but PCM on the sub stream, and PCM cannot be copied into an mp4 recording. Copying the main stream's audio avoids re-encoding audio that is already AAC, while the sub stream still needs to be transcoded:
+
+```yaml
+ffmpeg:
+  output_args:
+    # main stream audio is already AAC, so copy it
+    record: preset-record-generic-audio-copy
+    # sub stream audio is PCM, so transcode it to AAC
+    record_sub: preset-record-generic-audio-aac
+```
+
+Other reasons to set this are recording a sub stream whose codec needs a different preset than the main stream, such as `preset-record-mjpeg`, or forcing a matching audio sample rate across the two streams with manual args ending in `-c:a aac -ar 16000`.
+
+:::warning
+
+Avoid removing audio from only one of the two streams (for example with `-an`). When one stream has audio and the other does not, playback of time ranges that combine both qualities is silent, so stripping audio from the sub stream also silences the merged timeline.
+
+:::
+
+### Which stream do features use?
+
+As a general rule, features that read recordings prefer the main stream and fall back to the sub stream for time ranges where the main recordings have expired. Analytics features use only the main stream.
+
+| Feature                                                                                  | Stream used                                                                                                   |
+| ---------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------- |
+| Recording playback (History and Review)                                                  | Both (main preferred with sub fallback by default), or exactly one stream when a quality is selected manually |
+| Tracking details and Explore clip playback                                               | Main, falling back to sub where the main recordings have expired                                              |
+| Exports                                                                                  | Both (main preferred with sub fallback by default), or exactly one stream when a quality is selected in the export dialog |
+| Clip downloads                                                                           | Main; sub is used when no main recordings remain in the range (streams are never mixed in one file)           |
+| Frames grabbed from a recording in History (download snapshot, submit frame to Frigate+) | Main preferred, sub fallback                                                                                  |
+| Audio extraction (e.g., transcription)                                                   | Main preferred, sub fallback                                                                                  |
+| Motion search                                                                            | Main only                                                                                                     |
+| Review timeline motion data                                                              | Main only                                                                                                     |
+| Storage usage statistics                                                                 | Both streams counted, and listed separately per camera                                                        |
+
+This table covers only features that read recordings from disk. Tracked object snapshots and thumbnails (the images shown in Explore and sent with notifications, and the images submitted to Frigate+ from a tracked object) are captured live from the `detect` stream as the object is tracked, never from recordings, so sub stream recording does not affect them.
+
+### Trade-offs
+
+- Recording a second stream increases overall storage use. The increase is typically small relative to the main recordings, since the low quality stream is much smaller. Both streams are cached before being written to disk, so cache use goes up as well. See [the `/tmp/cache` area is separate](#the-tmpcache-area-is-separate) if you start seeing `No space left on device` errors after enabling it.
+- The go2rtc transcode approach continuously encodes the low quality stream, which uses CPU or GPU resources. This cost only applies to the transcode path; recording the camera's native sub stream does not re-encode. See the [go2rtc hardware acceleration documentation](https://github.com/AlexxIT/go2rtc?tab=readme-ov-file#source-ffmpeg) for accelerating the transcode.
+- Many camera sub streams do not include audio. If the source stream has no audio, the low quality recordings will not have audio.
+- **Matching video codecs and audio settings between the two streams gives the smoothest playback.** When playback combines both qualities on one timeline (the default `Auto` behavior: for example original quality during events with low quality in between, or low quality history after the original recordings expire) and the streams use different video codecs or audio settings, for example H.265 on the main stream and H.264 on the sub stream, or 16 kHz audio on one and 8 kHz on the other, playback still works: Frigate inserts a decoder reset at each quality transition, which can cause a barely-perceptible pause there. Configuring both streams in the camera's firmware to use the same video codec, audio codec, and sample rate makes transitions fully seamless, and a mismatched audio sample rate can also be corrected with [sub stream output args](#sub-stream-output-args). If one stream has audio and the other does not, combined time ranges play **without audio**; selecting a single quality with the playback selector always keeps that stream's audio.
+
 ## Can I have "continuous" recordings, but only at certain times?

 Using Frigate UI, Home Assistant, or MQTT, cameras can be automated to only record in certain situations or at certain times.
@@ -342,7 +501,7 @@ Media files (event snapshots, event thumbnails, review thumbnails, previews, exp

 Normal operation may leave small numbers of orphaned files until Frigate's scheduled cleanup, but crashes, configuration changes, or upgrades may cause more orphaned files that Frigate does not clean up. This feature checks the file system for media files and removes any that are not referenced in the database.

-The Maintenance pane in the Frigate UI or an API endpoint `POST /api/media/sync` can be used to trigger a media sync. When using the API, a job ID is returned and the operation continues on the server. Status can be checked with the `/api/media/sync/status/{job_id}` endpoint.
+The Maintenance pane in the Frigate UI or an API endpoint `POST /api/media/sync` can be used to trigger a media sync. When using the API, a job ID is returned and the operation continues on the server. Status can be checked with the `/api/media/sync/status/{job_id}` endpoint. Results include the disk space reclaimed, or with `dry_run: true`, the space that would be reclaimed.

 Setting `verbose: true` writes a detailed report of every orphaned file and database entry to `/config/media_sync/<job_id>.txt`. For recordings, the report separates orphaned database entries (DB records whose files are missing from disk) from orphaned files (files on disk with no corresponding database record).

@@ -358,7 +517,7 @@ The storage usage Frigate reports will not exactly match what the operating syst

 ### How Frigate measures recording usage

-The **Recordings** value on the Storage Metrics page (<NavPath path="System > Storage" />), and the per-camera **Camera Storage** breakdown, is the sum of the recording segment sizes Frigate has written, taken from Frigate's database. It is **not** computed by a scan of the disk. Frigate tracks usage this way by design: repeatedly walking the entire drive to total its size would keep hard drives spun up and add unnecessary I/O.
+The **Recordings** value on the Storage Metrics page (<NavPath path="Health and Metrics > Storage" />), and the per-camera **Camera Storage** breakdown, is the sum of the recording segment sizes Frigate has written, taken from Frigate's database. It is **not** computed by a scan of the disk. Frigate tracks usage this way by design: repeatedly walking the entire drive to total its size would keep hard drives spun up and add unnecessary I/O.

 The disk **total** shown beside it, and the free-space figure Frigate uses to decide when to delete recordings, instead come from the operating system's report for the whole filesystem mounted at `/media/frigate`. As a result, the **Unused** value on the page is _total disk capacity minus Frigate's recordings_, not the drive's real free space, which will be lower whenever anything else is stored on the disk.

@@ -221,7 +221,7 @@ For security reasons, the `echo:`, `expr:`, and `exec:` stream sources are disab

 If you attempt to use these sources in your configuration, the streams will be removed and an error message will be printed in the logs.

-To enable these sources, you must set the environment variable `GO2RTC_ALLOW_ARBITRARY_EXEC=true`. This can be done in your Docker Compose file or container environment:
+To enable these sources, you must set the environment variable `GO2RTC_ALLOW_ARBITRARY_EXEC=true`. This can be done in your Docker Compose file or container environment, or for Home Assistant App users with the `go2rtc_allow_arbitrary_exec` option in the App's configuration. The `environment_vars` section of the Frigate config can't enable it:

 ```yaml
 environment:
@@ -9,7 +9,7 @@ import NavPath from "@site/src/components/NavPath";

 # TLS

-Frigate's integrated NGINX server supports TLS certificates. By default Frigate will generate a self signed certificate that will be used for port 8971. Frigate is designed to make it easy to use whatever tool you prefer to manage certificates.
+Frigate's integrated NGINX server supports TLS certificates. By default Frigate will generate a self signed certificate that will be used for port 8971, stored in `/config/tls` so it survives container recreation. Frigate is designed to make it easy to use whatever tool you prefer to manage certificates.

 Frigate is often running behind a reverse proxy that manages TLS certificates for multiple services. You will likely need to set your reverse proxy to allow self signed certificates or you can disable TLS in Frigate's config. However, if you are running on a dedicated device that's separate from your proxy or if you expose Frigate directly to the internet, you may want to configure TLS with valid certificates.

@@ -45,7 +45,9 @@ frigate:
  ...
 ```

-Within the folder, the private key is expected to be named `privkey.pem` and the certificate is expected to be named `fullchain.pem`.
+Within the folder, the private key is expected to be named `privkey.pem` and the certificate is expected to be named `fullchain.pem`. Mounted certificates take precedence over the self signed pair in `/config/tls`.
+
+`privkey.pem` must be readable by the runtime user that runs NGINX. Frigate hands it over at startup when the mount is writable; on a `:ro` mount, make it readable by uid 1000 (or your `PUID`) yourself. See [Running as a non-root user](/configuration/non_root).

 Note that certbot uses symlinks, and those can't be followed by the container unless it has access to the targets as well, so if using certbot you'll also have to mount the `archive` folder for your domain, e.g.:

@@ -59,7 +61,7 @@ frigate:

 ```

-Frigate automatically compares the fingerprint of the certificate at `/etc/letsencrypt/live/frigate/fullchain.pem` against the fingerprint of the TLS cert in NGINX every minute. If these differ, the NGINX config is reloaded to pick up the updated certificate.
+Frigate automatically compares the fingerprint of the certificate it loaded, from either location, against the fingerprint of the TLS cert in NGINX every minute. If these differ, the NGINX config is reloaded to pick up the updated certificate.

 If you issue Frigate valid certificates you will likely want to configure it to run on port 443 so you can access it without a port number like `https://your-frigate-domain.com` by mapping 8971 to 443.

@@ -73,4 +75,4 @@ frigate:

 ## ACME Challenge

-Frigate also supports hosting the acme challenge files for the HTTP challenge method if needed. The challenge files should be mounted at `/etc/letsencrypt/www`.
+Frigate also supports hosting the acme challenge files for the HTTP challenge method if needed. The challenge files should be mounted at `/etc/letsencrypt/www`. With a read-only root filesystem this has to be a mounted volume, since Frigate cannot create the directory itself.
@@ -124,6 +124,8 @@ Additionally, the USB Coral draws a considerable amount of power. If using any o

 The Hailo-8 and Hailo-8L AI accelerators are available in both M.2 and HAT form factors for the Raspberry Pi. The M.2 version typically connects to a carrier board for PCIe, which then interfaces with the Raspberry Pi 5 as part of the AI Kit. The HAT version can be mounted directly onto compatible Raspberry Pi models. Both form factors have been successfully tested on x86 platforms as well, making them versatile options for various computing environments.

+The HailoRT runtime is not part of the Frigate image; Frigate downloads and installs it at first start once a Hailo detector is configured. Containers without internet access can provide the files themselves, see [Detector runtimes](/frigate/network_requirements#detector-runtimes).
+
 #### Installation

 :::warning
@@ -315,6 +317,8 @@ The MemryX MX3 Accelerator is available in the M.2 2280 form factor (like an NVM

 To get started with MX3 hardware setup for your system, refer to the [Hardware Setup Guide](https://developer.memryx.com/2p1/get_started/install_hardware.html).

+The MemryX SDK used inside the container is not part of the Frigate image; Frigate downloads and installs it at first start once a MemryX detector is configured. Containers without internet access can provide the file themselves, see [Detector runtimes](/frigate/network_requirements#detector-runtimes). The host side driver still has to be installed as described below.
+
 Then follow these steps for installing the correct driver/runtime configuration:

 1. Copy or download [this script](https://github.com/blakeblackshear/frigate/blob/dev/docker/memryx/user_installation.sh).
@@ -479,6 +483,8 @@ Follow these steps for installation:

 To set up Frigate, follow the default installation instructions, for example: `ghcr.io/blakeblackshear/frigate:stable`

+The AXEngine python package is not part of the Frigate image; Frigate downloads and installs it at first start once an AXEngine detector is configured. Containers without internet access can provide the file themselves, see [Detector runtimes](/frigate/network_requirements#detector-runtimes).
+
 Next, grant Docker permissions to access your hardware by adding the following lines to your `docker-compose.yml` file:

 ```yaml
@@ -514,7 +520,7 @@ Generate a Frigate Docker Compose configuration based on your hardware and requi
 services:
  frigate:
    container_name: frigate
-    privileged: true # this may not be necessary for all setups
+    # privileged: true # ONLY enable if your hardware requires it (see hardware-specific docs); prefer the device mappings below
    restart: unless-stopped
    stop_grace_period: 30s # allow enough time to shut down the various services
    image: ghcr.io/blakeblackshear/frigate:stable
@@ -546,6 +552,30 @@ services:
  </TabItem>
 </Tabs>

+### Recommended security options
+
+Frigate does not need elevated container privileges for most setups. The following hardens the container; add the `devices`/`group_add` entries your hardware requires (see the hardware acceleration docs):
+
+```yaml
+services:
+  frigate:
+    ...
+    security_opt:
+      - no-new-privileges:true
+    cap_drop:
+      - ALL
+```
+
+:::note
+
+`telemetry.stats.network_bandwidth` uses nethogs, which requires root with NET_ADMIN/NET_RAW capabilities. If you enable that stat, omit `cap_drop: [ALL]` or add `cap_add: [NET_ADMIN, NET_RAW]`.
+
+Platforms that genuinely require `privileged: true` (MemryX, some QNAP setups) are called out in their own sections and are unaffected by this guidance.
+
+:::
+
+Frigate's services run as an unprivileged user inside the container. See [Running as a non-root user](../configuration/non_root.md) for the run modes, the one time volume ownership migration, what each accelerator needs on the host, and the [hardened deployment](../configuration/non_root.md#hardened-deployment) layout with a read-only root filesystem.
+
 **Docker CLI**

 If you can't use Docker Compose, you can run the container with something similar to this:
@@ -612,6 +642,8 @@ Home Assistant OS users can install via the App repository.
 5. Start the App
 6. Use the _Open Web UI_ button to access the Frigate UI, then click in the _cog icon_ > _Configuration editor_ and configure Frigate to your liking

+App users who can't set container environment variables can put `FRIGATE_` values in a `secrets.yaml` next to `config.yml` in `/addon_configs/<addon_directory>` instead. See [`secrets.yaml`](../configuration/advanced/system.md#secretsyaml).
+
 There are several variants of the App available:

 | App Variant                | Description                                                |
@@ -56,6 +56,24 @@ The default CPU, EdgeTPU, and OpenVINO object detection models are bundled into

 :::

+### Detector Runtimes
+
+The SDKs for a few hardware detectors are not shipped in the Frigate image. They are downloaded the first time that detector is configured, verified against checksums pinned in the Frigate release, and installed into the Frigate user's home directory (`/config/.local` by default). Once installed they are not downloaded again until a Frigate release pins a new version.
+
+| Detector                                                       | Version | Files                                                                                                                                                                                                 | Source                                                                                     |
+| -------------------------------------------------------------- | ------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------ |
+| [Hailo 8 / 8L](/configuration/object_detectors#hailo-8)        | 4.21.0  | `hailort-debian12-amd64.tar.gz` and `hailort-4.21.0-cp311-cp311-linux_x86_64.whl` on x86, `hailort-debian12-arm64.tar.gz` and `hailort-4.21.0-cp311-cp311-linux_aarch64.whl` on arm64 | [GitHub release](https://github.com/frigate-nvr/hailort/releases/tag/v4.21.0)              |
+| [MemryX MX3](/configuration/object_detectors#memryx-mx3)       | 2.1.0   | `mx_accl_frigate-2.1.0.zip` (the release source archive, renamed)                                                                                                                                     | [GitHub archive](https://github.com/memryx/mx_accl_frigate/archive/refs/tags/v2.1.0.zip)   |
+| [AXERA AXEngine](/configuration/object_detectors#axera)        | 0.1.3   | `axengine-0.1.3-py3-none-any.whl`                                                                                                                                                                     | [GitHub release](https://github.com/AXERA-TECH/pyaxengine/releases/tag/0.1.3-frigate)      |
+
+If the container cannot reach GitHub, provide the files yourself:
+
+1. Download the files for your architecture on a machine with internet access.
+2. Place them, with exactly the file names listed above, in `/config/model_cache/runtimes/<detector>/`, where `<detector>` is the detector `type` from your config (`hailo8l`, `memryx`, or `axengine`).
+3. Start Frigate. Files whose checksum matches are installed without any download; a file with the wrong checksum is discarded and downloaded again, so a failed startup log names the file to replace.
+
+The `GITHUB_ENDPOINT` mirror variable below applies to these downloads as well.
+
 ### Preventing Model Downloads

 If you have already downloaded all required models and want to prevent Frigate from attempting any outbound connections to HuggingFace or the Transformers library, set the following environment variables on your Frigate container:
@@ -79,7 +97,7 @@ If your Frigate instance has restricted internet access, you can point model dow
 | Environment Variable                | Default                             | Used By                                       |
 | ----------------------------------- | ----------------------------------- | --------------------------------------------- |
 | `HF_ENDPOINT`                       | `https://huggingface.co`            | Semantic search, Sherpa-ONNX, AXEngine models |
-| `GITHUB_ENDPOINT`                   | `https://github.com`                | Face recognition, LPR, RKNN models            |
+| `GITHUB_ENDPOINT`                   | `https://github.com`                | Face recognition, LPR, RKNN models, detector runtimes |
 | `GITHUB_RAW_ENDPOINT`               | `https://raw.githubusercontent.com` | Bird classification                           |
 | `TF_KERAS_MOBILENET_V2_WEIGHTS_URL` | Unset (Keras uses its own default)  | Custom classification training                |

@@ -60,7 +60,7 @@ If you’re running Frigate via Docker (recommended method), follow these steps:
     ```bash
     docker logs frigate
     ```
-   - Visit the Frigate Web UI (default: `http://<your-ip>:5000`) to confirm the new version is running. The version number is displayed at the top of the System Metrics page.
+   - Visit the Frigate Web UI (default: `http://<your-ip>:5000`) to confirm the new version is running. The version number is displayed at the top of the Health and Metrics page.

 ### Notes

@@ -4,6 +4,7 @@ title: Getting started
 ---

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

@@ -132,21 +133,68 @@ services:
      - "8554:8554" # RTSP feeds
 ```

-Now you should be able to start Frigate by running `docker compose up -d` from within the folder containing `docker-compose.yml`. On startup, an admin user and password will be created and outputted in the logs. You can see this by running `docker logs frigate`. Frigate should now be accessible at `https://server_ip:8971` where you can login with the `admin` user and finish configuration using the Settings UI.
+Now you should be able to start Frigate by running `docker compose up -d` from within the folder containing `docker-compose.yml`. On startup, an admin user and password will be created and outputted in the logs. You can see this by running `docker logs frigate`. Frigate should now be accessible at `https://server_ip:8971` where you can login with the `admin` user. With no cameras configured yet, the setup wizard runs on first login and walks you through the rest.

 ## Configuring Frigate

 This section assumes that you already have an environment setup as described in [Installation](../frigate/installation.md). You should also configure your cameras according to the [camera setup guide](/frigate/camera_setup). Pay particular attention to the section on choosing a detect resolution.

-### Step 1: Start Frigate
+<Tabs
+groupId="setup-method"
+defaultValue="wizard"
+values={[
+{ label: "Setup wizard", value: "wizard" },
+{ label: "Manual", value: "manual" },
+]}
+
+> <TabItem value="wizard">
+
+The first time you open Frigate with no cameras configured, the setup wizard walks you through the basics. Every step can be skipped, everything it sets can be changed later in Settings, and once you finish or dismiss it, it doesn't come back.
+
+:::note
+
+Frigate only sees hardware that has been passed into the container. If you plan to use a GPU, a Coral, or another accelerator, add the device to your `docker-compose.yml` and restart before running the wizard, otherwise it won't appear in the detection or hardware acceleration steps. The Manual tab shows the device entries for an Intel or AMD GPU and for a Coral, and the [hardware acceleration](../configuration/hardware_acceleration_video.md) and [object detectors](../configuration/object_detectors.md) docs cover the rest.
+
+:::
+
+**Account**
+
+Set a password for the `admin` account to replace the generated one from the logs, and add accounts for anyone else who needs access. This step is hidden if you have turned authentication off.
+
+**Add a camera**
+
+Opens the [Add Camera Wizard](../configuration/cameras.md#adding-a-camera-with-the-add-camera-wizard), which connects to the camera, tests each stream, and writes its configuration for you. You can add more than one before moving on.
+
+**Object detection**
+
+Lists the detection hardware Frigate found on your system, such as a Coral, an Intel GPU or NPU, or a discrete GPU, and configures the one you pick. NVIDIA and AMD GPUs need a model before detection can start, so the wizard offers your Frigate+ models if you have them, or lets you finish setup and add one later under <NavPath path="Settings > System > Detection models" />.
+
+**Hardware acceleration**
+
+Offers only the decoding methods your hardware supports. Auto picks one based on that hardware and the codec your camera sends, so a mixed h264 and h265 setup gets the right preset per camera.
+
+**Recording**
+
+Choose whether to record only when something is detected or around the clock, and how long to keep it.
+
+The last screen summarizes what was set up. If a step changed something that needs a restart, the button restarts Frigate and returns you to the Live view once it is back.
+
+The wizard configures the essentials only. Motion masks are not included and should be set up afterward, once you can identify the areas of the frame that trigger unwanted motion. See the [masks documentation](../configuration/masks.md). Zones, tracked object types, notifications, and MQTT are also configured in Settings.
+
+</TabItem>
+<TabItem value="manual">
+
+On a new install the setup wizard opens first. Click **Skip setup and configure manually** on its welcome screen to dismiss it, and the steps below apply. The wizard won't come back once dismissed.
+
+**Step 1: Start Frigate**

 At this point you should be able to start Frigate and a basic config will be created automatically.

-### Step 2: Add a camera
+**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.

-### Step 3: Configure hardware acceleration (recommended)
+**Step 3: Configure hardware acceleration (recommended)**

 Now that you have a working camera configuration, set up hardware acceleration to minimize the CPU required to decode your video streams. See the [hardware acceleration](../configuration/hardware_acceleration_video.md) docs for examples applicable to your hardware.

@@ -190,7 +238,7 @@ cameras:
 </TabItem>
 </ConfigTabs>

-### Step 4: Configure detectors
+**Step 4: Configure detectors**

 By default, Frigate will use a single OpenVINO detector running on the CPU.

@@ -204,8 +252,8 @@ You need to refer to **Configure hardware acceleration** above to enable the con
 <ConfigTabs>
 <TabItem value="ui">

-1. Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `OpenVINO` and **Device** `GPU`
-2. On the same page, in the **Custom Model** tab, configure the model settings for OpenVINO:
+1. Navigate to <NavPath path="Settings > System > Detection models" /> and select **Intel GPU** from the **Hardware** dropdown
+2. On the same model, open the **Custom Model** tab and configure the model settings for OpenVINO:

 | Field                                    | Value                                      |
 | ---------------------------------------- | ------------------------------------------ |
@@ -222,15 +270,12 @@ You need to refer to **Configure hardware acceleration** above to enable the con
 ```yaml {3-6,9-15,20-21}
 mqtt: ...

-detectors: # <---- add detectors
-  ov:
-    type: openvino  # <---- use openvino detector
-    device: GPU
-
-# We will use the default MobileNet_v2 model from OpenVINO.
-model:
-  width: 300
-  height: 300
+models: # <---- add models
+  - devices:
+      - openvino:GPU # <---- use the openvino detector on the GPU
+    # We will use the default MobileNet_v2 model from OpenVINO.
+    width: 300
+    height: 300
  input_tensor: nhwc
  input_pixel_format: bgr
  path: /openvino-model/ssdlite_mobilenet_v2.xml
@@ -273,7 +318,7 @@ services:
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a detector with **Type** `EdgeTPU` and **Device** `usb`.
+Navigate to <NavPath path="Settings > System > Detection models" /> and select **Coral EdgeTPU (USB)** from the **Hardware** dropdown.

 </TabItem>
 <TabItem value="yaml">
@@ -281,10 +326,9 @@ Navigate to <NavPath path="Settings > System > Detectors and model" /> and add a
 ```yaml {3-6,11-12}
 mqtt: ...

-detectors: # <---- add detectors
-  coral:
-    type: edgetpu
-    device: usb
+models: # <---- add models
+  - devices:
+      - edgetpu:usb

 cameras:
  name_of_your_camera:
@@ -303,7 +347,7 @@ More details on available detectors can be found [here](../configuration/object_

 Restart Frigate and you should start seeing detections for `person`. If you want to track other objects, they can be configured in <NavPath path="Settings > Global configuration > Objects" /> or via the [configuration file reference](../configuration/advanced/reference.md).

-### Step 5: Setup motion masks
+**Step 5: Setup motion masks**

 Now that you have optimized your configuration for decoding the video stream, you will want to check to see where to implement motion masks. Click on the camera from the main dashboard, then select the gear icon in the top right, enable the [Debug view](/usage/live#the-single-camera-view), and finally enable the switch for Motion Boxes. Watch for areas that continuously trigger unwanted motion to be detected. Common areas to mask include camera timestamps and trees that frequently blow in the wind. The goal is to avoid wasting object detection cycles looking at these areas.

@@ -321,10 +365,9 @@ If you are using YAML to configure Frigate instead of the UI, your configuration
 mqtt:
  enabled: False

-detectors:
-  coral:
-    type: edgetpu
-    device: usb
+models:
+  - devices:
+      - edgetpu:usb

 cameras:
  name_of_your_camera:
@@ -341,7 +384,7 @@ cameras:
          coordinates: "0,461,3,0,1919,0,1919,843,1699,492,1344,458,1346,336,973,317,869,375,866,432"
 ```

-### Step 6: Enable recordings
+**Step 6: Enable recordings**

 In order to review activity in the Frigate UI, recordings need to be enabled.

@@ -357,7 +400,7 @@ In order to review activity in the Frigate UI, recordings need to be enabled.
 ```yaml {16-17}
 mqtt: ...

-detectors: ...
+models: ...

 cameras:
  name_of_your_camera:
@@ -390,7 +433,10 @@ If you only plan to use Frigate for recording, it is still recommended to define

 By default, Frigate will retain video of all tracked objects for 10 days. The full set of options for recording can be found [here](../configuration/advanced/reference.md).

-### Step 7: Complete config
+</TabItem>
+</Tabs>
+
+### Complete config

 At this point you have a complete config with basic functionality.

@@ -304,7 +304,7 @@ Topic with current state of notifications. Published values are `ON` and `OFF`.

 ### `frigate/<camera_name>/status/<role>`

-Publishes the current health status of each role that is enabled (`audio`, `detect`, `record`). Possible values are:
+Publishes the current health status of each role that is enabled (`audio`, `detect`, `record`, `record_sub`). `record_sub` is only published for cameras with [sub stream recording](/configuration/record#sub-stream-recording) enabled, and is tracked separately from `record` so a healthy main stream can't hide a stalled sub stream. Possible values are:

 - `online`: Stream is running and being processed
 - `offline`: Stream is offline and is being restarted
@@ -553,22 +553,25 @@ must be enabled in the configuration.

 Topic with current state of Birdseye for a camera. Published values are `ON` and `OFF`.

-### `frigate/<camera_name>/birdseye_mode/set`
+### `frigate/<camera_name>/birdseye_modes/set`

-Topic to set Birdseye mode for a camera. Birdseye offers different modes to customize under which circumstances the camera is shown.
+Topic to set the Birdseye activity types for a camera. Send one uppercase activity type or combine multiple types with commas, for example `MOTION,ALERTS`.

-_Note: Changing the value from `CONTINUOUS` -> `MOTION | OBJECTS` will take up to 30 seconds for
+_Note: Changing the value from `CONTINUOUS` to non-continuous activity types will take up to 30 seconds for
 the camera to be removed from the view._

-| Command      | Description                                                       |
-| ------------ | ----------------------------------------------------------------- |
-| `CONTINUOUS` | Always included                                                   |
-| `MOTION`     | Show when detected motion within the last 30 seconds are included |
-| `OBJECTS`    | Shown if an active object tracked within the last 30 seconds      |
+| Command       | Description                                                      |
+| ------------- | ---------------------------------------------------------------- |
+| `CONTINUOUS`  | Always included                                                  |
+| `MOTION`      | Shown if motion was detected within the last 30 seconds          |
+| `ALL_OBJECTS` | Shown if a tracked object was present within the last 30 seconds |
+| `ALERTS`      | Shown while an alert review item is in progress                  |
+| `DETECTIONS`  | Shown while a detection review item is in progress               |
+| `NONE`        | Never included                                                   |

-### `frigate/<camera_name>/birdseye_mode/state`
+### `frigate/<camera_name>/birdseye_modes/state`

-Topic with current state of the Birdseye mode for a camera. Published values are `CONTINUOUS`, `MOTION`, `OBJECTS`.
+Topic with the current Birdseye activity types for a camera. Multiple enabled types are published as a comma-separated value in the order `CONTINUOUS`, `MOTION`, `ALL_OBJECTS`, `ALERTS`, `DETECTIONS`. `NONE` is published when no activity types are enabled.

 ### `frigate/<camera_name>/notifications/set`

@@ -59,13 +59,12 @@ You can view all of your submitted images at [https://plus.frigate.video](https:

 Once you have [requested your first model](../plus/first_model.md) and gotten your own model ID, it can be used with a special model path. No other information needs to be configured for Frigate+ models because it fetches the remaining config from Frigate+ automatically.

-You can either choose the new model from the <NavPath path="Settings > System > Detectors and model" /> pane in the Frigate UI (the **Frigate+ Model** tab), or manually set the model at the root level in your config:
+You can either choose the new model from the <NavPath path="Settings > System > Detection models" /> pane in the Frigate UI (on the **Frigate+** tab of the model you want to change), or set it on that model in your config:

 ```yaml
-detectors: ...
-
-model:
-  path: plus://<your_model_id>
+models:
+  - devices: ...
+    path: plus://<your_model_id>
 ```

 :::note
@@ -79,10 +78,11 @@ Models are downloaded into the `/config/model_cache` folder and only downloaded
 If needed, you can override the labelmap for Frigate+ models. This is not recommended as renaming labels will break the Submit to Frigate+ feature if the labels are not available in Frigate+.

 ```yaml
-model:
-  path: plus://<your_model_id>
-  labelmap:
-    3: animal
-    4: animal
-    5: animal
+models:
+  - devices: ...
+    path: plus://<your_model_id>
+    labelmap:
+      3: animal
+      4: animal
+      5: animal
 ```
@@ -30,16 +30,15 @@ Models available in Frigate+ can be used with a special model path. No other inf
 <ConfigTabs>
 <TabItem value="ui">

-Navigate to <NavPath path="Settings > System > Detectors and model" />. In the **Detection Model** section, choose the **Frigate+** tab. Select your new Frigate+ model from the **Available Frigate+ models** dropdown, then click **Save**. Restart Frigate to apply the change.
+Navigate to <NavPath path="Settings > System > Detection models" />. On the model you want to change, choose the **Frigate+** tab and select your new Frigate+ model from the **Available Frigate+ models** dropdown, then click **Save**. Restart Frigate to apply the change.

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

 ```yaml
-detectors: ...
-
-model:
-  path: plus://<your_model_id>
+models:
+  - devices: ...
+    path: plus://<your_model_id>
 ```

 :::tip
@@ -66,17 +66,19 @@ An FFmpeg message meaning it probed the stream but never saw enough decodable vi

 ## Recording

-<FaqItem id="no-new-recording-segments" question="No new recording segments were created for <camera> in the last 120s">
+<FaqItem id="no-new-recording-segments" question="No new recording segments were created (or: No new valid recording segments were created / No valid segments created since last invalid segment) 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).
+Frigate's record watchdog is restarting the record FFmpeg process because the camera stopped producing usable recordings. The wording distinguishes the cases: `No new recording segments` means no new segment file reached the cache, so ffmpeg isn't getting video out of the record stream; the two `valid` variants mean recordings are arriving but keep failing validation. Either way the fault is on the camera or network side, and the restart is Frigate trying to recover.

-See [Recordings: the record stream isn't connecting](/troubleshooting/recordings#the-record-stream-isnt-connecting).
+See [Recordings: no new recording segments were created](/troubleshooting/recordings#no-new-recording-segments-were-created).

 </FaqItem>

-<FaqItem id="invalid-or-missing-video-stream-in-segment" question="Invalid or missing video stream in segment. Discarding.">
+<FaqItem id="invalid-or-missing-video-stream-in-segment" question="Invalid or missing video stream in segment. Discarding. / Discarding a corrupt recording segment / Failed to probe corrupt segment / Invalid recording segment detected">

-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.
+A cached recording segment failed validation and was deleted, either because it had no readable video stream or because its length was impossible. This nearly always means the camera stopped sending usable video partway through the segment: a camera that rebooted, dropped the connection, or ran out of simultaneous connections, or an unreliable link such as WiFi or a failing switch port. Broken camera timestamps (a "Smart Codec" / H.264+ mode) cause the corrupt-segment variants. The same stream failure trips the record watchdog, so the restarts above usually appear alongside these messages.
+
+See [Recordings: invalid or missing video stream in segment](/troubleshooting/recordings#invalid-or-missing-video-stream-in-segment).

 </FaqItem>

@@ -131,7 +133,7 @@ The process was killed by the CPU for executing an unsupported instruction. Ther

 <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).
+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 a model's `path`. Delete the cached model file so Frigate re-downloads it, and confirm the model's `path` points at an actual `.onnx` model. See [ONNX detector configuration](/configuration/object_detectors#onnx).

 </FaqItem>

@@ -121,7 +121,7 @@ You can still configure Frigate to use UDP by using ffmpeg input args or the pre

 ### Frigate is slow to start up with a "probing detect stream" message in the logs

-When `detect.width` and `detect.height` are not set, Frigate probes each camera's detect stream on startup (and when saving the config) to auto-detect its resolution. For RTSP streams Frigate probes with ffprobe and automatically retries over TCP if UDP doesn't respond, with a 5 second timeout per attempt. A camera that cannot be reached over either transport will add up to ~10 seconds to startup before Frigate falls through with default dimensions, which may show up as width `0` and height `0` in Camera Probe Info under System Metrics.
+When `detect.width` and `detect.height` are not set, Frigate probes each camera's detect stream on startup (and when saving the config) to auto-detect its resolution. For RTSP streams Frigate probes with ffprobe and automatically retries over TCP if UDP doesn't respond, with a 5 second timeout per attempt. A camera that cannot be reached over either transport will add up to ~10 seconds to startup before Frigate falls through with default dimensions, which may show up as width `0` and height `0` in Camera Probe Info under Health and Metrics.

 To skip the probe entirely and make startup instant, set `detect.width` and `detect.height` explicitly in your camera config:

@@ -167,3 +167,9 @@ Frigate's object detection relies on a machine learning [model](../frigate/gloss
 - If the false positive is always in the same fixed spot (like a statue or mailbox that reads as a person), add an [object filter mask](../configuration/masks.md#object-filter-masks) over that location.

 Filters and masks only hide the incorrect result - they don't teach Frigate what the object actually is. For that, fine-tune your own model or use Frigate+.
+
+### Where do I see problems Frigate has detected?
+
+Open System > Health. The Notices list shows problems the backend has noticed on its own, such as a camera whose ffmpeg keeps crashing, a detector that had to be restarted, a model download that failed, or recordings being deleted before their retention period. Entries that describe a one-time event can be dismissed; entries that describe an ongoing condition clear themselves once it is fixed.
+
+The Hardware section below the notices shows whether the detection hardware, hardware acceleration, and enrichment devices in your config were found and are being used, so a GPU that silently fell back to the CPU shows up as a warning. Run stream checks to probe every camera's streams for the same problems the camera wizard reports.
@@ -15,7 +15,7 @@ When a stream won't play or behaves oddly, the most important first step is to f

 ### 1. Read the go2rtc logs

-Access the go2rtc logs in the Frigate UI under <NavPath path="System Logs" /> in the sidebar (select the **go2rtc** tab). If go2rtc cannot connect to your camera you will usually see a clear error here: `401 Unauthorized` (bad or incorrectly encoded credentials), `Connection refused` / `timeout` (wrong IP, port, or the camera is at its connection limit), or `404 Not Found` (wrong RTSP path, or the referenced stream name does not exist).
+Access the go2rtc logs in the Frigate UI under <NavPath path="Logs" /> in the sidebar (select the **go2rtc** tab). If go2rtc cannot connect to your camera you will usually see a clear error here: `401 Unauthorized` (bad or incorrectly encoded credentials), `Connection refused` / `timeout` (wrong IP, port, or the camera is at its connection limit), or `404 Not Found` (wrong RTSP path, or the referenced stream name does not exist).

 ### 2. Test the stream in the go2rtc web interface

@@ -209,6 +209,50 @@ If the record stream uses a "Smart Codec"/H.264+ mode or changes encoding parame

 </FaqItem>

+<FaqItem id="invalid-or-missing-video-stream-in-segment" question="I see the message: WARNING : Invalid or missing video stream in segment ... Discarding.">
+
+Every recording segment is validated before it leaves the cache. Frigate probes each finished `.mp4` in `/tmp/cache` and requires a readable video stream and a valid duration before moving to storage. A segment that fails is deleted, so those ~10 seconds of footage are lost. Three messages come from this check:
+
+- `Invalid or missing video stream in segment <path>. Discarding.` The segment holds no video, or could not be read at all.
+- `Failed to probe corrupt segment <path>` followed by `Discarding a corrupt recording segment: <path>`. The segment was read, but its length could not be determined.
+- `Discarding a corrupt recording segment: <path>` on its own. The segment's length is impossible (empty, or longer than ten minutes), which points at broken timestamps coming from the camera.
+
+For each one, the camera watchdog also logs `Invalid recording segment detected for <camera> at <timestamp>`.
+
+:::warning
+
+This is almost always a **camera or network problem**, not a Frigate one. A segment is only complete once ffmpeg has finished writing it, so anything that interrupts the stream partway through leaves behind a file that cannot be saved. Frigate is reporting the interruption, not causing it.
+
+:::
+
+#### Start with the camera and the network
+
+- **The camera dropped the connection.** Cameras reboot, reinitialize their stream when switching to night mode, and cut clients off when they are overloaded or out of simultaneous connections. Count everything pulling from the camera at once: Frigate's detect and record streams, go2rtc, a phone app, and any other NVR each use one. Routing all roles through a single [RTSP restream](/configuration/restream#reduce-connections-to-camera) so the camera only ever sees one connection often resolves this by itself.
+- **The link to the camera is unreliable.** WiFi cameras, powerline adapters, a saturated uplink, a failing switch port, or a marginal cable all produce this pattern, and usually only on one camera at a time. WiFi cameras are [not recommended](https://ipcamtalk.com/threads/multiple-cameras-high-bandwidth.77100/#post-861110).
+- **The camera cannot reliably send what it is being asked for.** A high bitrate 4K stream can be more than the camera's own hardware can encode and push out under load. Lower the bitrate, or record a lower-resolution profile.
+- **The camera is using a "Smart Codec", H.264+, or H.265+ mode.** These change encoding parameters mid-stream and produce the broken timestamps behind the corrupt-segment variant. Turn the mode off and set the camera's keyframe interval equal to its frame rate. See [Segments are only ~1 second long](#segments-are-only-1-second-long).
+
+Read the rest of the Frigate and/or go2rtc log around the **first** occurrence. When the camera or the network is at fault, other messages show up with it, such as `No frames received from <camera> in 20 seconds`, `Non-monotonic DTS`, `RTP: PT=xx: bad cseq`, `error while decoding MB`, or a connection timeout. Each of those is explained in [Common error messages](/troubleshooting/common_errors). To confirm the camera is the source, open its stream in the [go2rtc web interface](/troubleshooting/go2rtc) on port `1984` or play the same URL in VLC, and leave it running long enough for the failures to happen again.
+
+#### If the camera and network check out
+
+- **Audio the recording cannot store.** Some cameras send G.711 audio, which cannot be saved in an MP4 and stops segments from finalizing. See [Incompatible audio codec](#incompatible-audio-codec-recordings-silently-fail-to-save).
+- **Frigate itself was stopped or restarted.** A single warning per camera around a restart is expected and needs no action.
+- **The system ran out of room or memory.** A full `/tmp/cache`, or the host killing Frigate for using too much memory, cuts off the segment being written. Both leave other errors in the log alongside this one. See [No space left on device](#errno-28-no-space-left-on-device).
+
+</FaqItem>
+
+<FaqItem id="no-new-recording-segments-were-created" question="I see the message: ERROR : No new recording segments were created for <camera> in the last 120s. Restarting the ffmpeg record process...">
+
+When a camera stops producing usable recordings for two minutes, Frigate restarts that camera's record process to try to recover. The wording tells you how far the recordings got:
+
+- **`No new recording segments were created`**: no new segment file showed up in the cache at all, so ffmpeg isn't getting video out of the record stream. The camera is unreachable or refusing the connection, the stream URL, path, or credentials are wrong, or the camera accepted the connection and then sent nothing. See [The record stream isn't connecting](#the-record-stream-isnt-connecting).
+- **`No new valid recording segments were created`** and **`No valid segments created since last invalid segment`**: recordings are arriving, but they keep failing validation, so the camera is sending video that cannot be saved. See [Invalid or missing video stream in segment](#invalid-or-missing-video-stream-in-segment) above.
+
+The restart is Frigate recovering from a problem, not causing one. One of these after a camera reboot or a brief network drop is normal. Seeing them repeat every couple of minutes means the camera or the network is still failing, and the restarts can extend the damage, because each one cuts off the segment that was being written. Work from the earliest failure in that camera's log rather than from the restarts.
+
+</FaqItem>
+
 <FaqItem id="i-see-the-message-warning--unable-to-keep-up-with-recording-segments-in-cache-for-camera-keeping-the-5-most-recent-segments-out-of-6-and-discarding-the-rest" question="I see the message: WARNING : Unable to keep up with recording segments in cache for camera. Keeping the 5 most recent segments out of 6 and discarding the rest...">

 This warning means the recording maintainer cannot move recording segments from the RAM cache to disk fast enough. When the cache fills up, Frigate discards the oldest segments to avoid running out of memory and crashing, so you lose recorded footage. This is almost always a storage throughput or system resource problem. Work through the steps below to identify which.
@@ -330,7 +374,7 @@ If segments are only ~1 second instead of ~10 seconds, the camera is sending cor

 :::tip

-You don't have to run `ffprobe` by hand to catch this. Open a camera's **Camera Probe Info** dialog (the info icon on the System → Metrics → Cameras page) and check the **Keyframe analysis** section. It probes the record stream and flags sparse or variable keyframes, which is what smart/"+" codecs (H.264+/H.265+) and long keyframe intervals produce.
+You don't have to run `ffprobe` by hand to catch this. Open a camera's **Camera Probe Info** dialog (the info icon on the Health and Metrics → Cameras page) and check the **Keyframe analysis** section. It probes the record stream and flags sparse or variable keyframes, which is what smart/"+" codecs (H.264+/H.265+) and long keyframe intervals produce.

 :::

@@ -40,7 +40,7 @@ Deleting a group also clears any custom layout you saved for it.

 ## Rearranging a camera group layout

-On desktop and tablet, each camera group has its own freely-arrangeable grid. Enter **Edit Layout** mode from the layout button in the lower-right corner: camera tiles gain a drag handle and corner resize handles. Drag a tile to reposition it and drag a corner to resize it (the aspect ratio is preserved). Exit edit mode to save. The layout is stored in your browser per device, so each device can have its own arrangement.
+On desktop and tablet, each camera group has its own freely-arrangeable grid. Enter **Edit Layout** mode from the layout button in the lower-right corner: camera tiles gain a drag handle and corner resize handles. Drag a tile to reposition it and drag a corner to resize it (the aspect ratio is preserved). Exit edit mode to save. The layout is stored in your browser per device, so each device can have its own arrangement, and layouts can be exported to a file and imported on another device.

 The default **All Cameras** dashboard is not manually arrangeable. It automatically sizes tiles based on each camera's aspect ratio (wide cameras span two columns, tall cameras span two rows).

@@ -68,7 +68,7 @@ For non-default groups, the context menu also exposes **Streaming Settings** for
 - the **streaming method**: **No Streaming**, **Smart Streaming** (recommended), or **Continuous Streaming** (higher bandwidth), and
 - **compatibility mode**, for devices that have trouble rendering the default player.

-These settings are saved per group and per device in your browser, not in your config file.
+These settings are saved per group and per device in your browser, not in your config file, and can be exported to a file and imported on another device.

 ## The single-camera view

@@ -63,8 +63,7 @@ SYSTEM_NAV: dict[str, tuple[str, str]] = {
    "environment_vars": ("System", "Environment variables"),
    "telemetry": ("System", "Telemetry"),
    "birdseye": ("System", "Birdseye"),
-    "detectors": ("System", "Detectors and model"),
-    "model": ("System", "Detectors and model"),
+    "models": ("System", "Detection models"),
 }

 # All known top-level config section keys
@@ -122,6 +122,7 @@ const sidebars: SidebarsConfig = {
          "configuration/ffmpeg_presets",
          "configuration/pwa",
          "configuration/tls",
+          "configuration/non_root",
        ],
      },
      {
@@ -219,6 +219,8 @@ hardware:
      - host: "/run/mxa_manager"
        container: "/run/mxa_manager"
        comment: "MemryX manager"
+    privileged: true
+    privilegedReason: "required by MemryX to reach the max-manager"

  - id: "axera"
    label: "AXERA Accelerator"
@@ -104,6 +104,10 @@ export interface DeviceConfig {
  extraHosts?: string[];
  /** Security options, e.g. ["apparmor=unconfined"] */
  securityOpt?: string[];
+  /** Set only when this device type cannot work without full privileged mode */
+  privileged?: boolean;
+  /** Why privileged mode is required, rendered as an inline comment */
+  privilegedReason?: string;
  /** Whether this device type needs the NVIDIA GPU config UI */
  needsNvidiaConfig?: boolean;
 }
@@ -127,6 +131,10 @@ export interface HardwareOption {
  volumes?: VolumeMapping[];
  /** Extra environment variables */
  env?: Record<string, string>;
+  /** Set only when this hardware cannot work without full privileged mode */
+  privileged?: boolean;
+  /** Why privileged mode is required, rendered as an inline comment */
+  privilegedReason?: string;
 }

 /** Port definition */
@@ -1,6 +1,7 @@
 import type {
  DeviceConfig,
  DeviceMapping,
+  HardwareOption,
  VolumeMapping,
 } from "../config/types";
 import { hardwareMap } from "../config";
@@ -194,13 +195,32 @@ function buildExtraHosts(device: DeviceConfig): string[] {
 }

 function buildSecurityOpt(device: DeviceConfig): string[] {
-  if (!device.securityOpt?.length) return [];
+  // no-new-privileges is the baseline for every setup; device-specific entries
+  // are appended so only one security_opt key is ever emitted
  return [
    "    security_opt:",
-    ...device.securityOpt.map((s) => `      - ${s}`),
+    "      - no-new-privileges:true",
+    ...(device.securityOpt ?? []).map((s) => `      - ${s}`),
  ];
 }

+/**
+ * Emit privileged mode only for hardware that genuinely cannot work without it.
+ * Everything else gets device mappings, which grant far less access.
+ */
+function buildPrivileged(
+  device: DeviceConfig,
+  selectedHardware: HardwareOption[]
+): string[] {
+  const requiring = [device, ...selectedHardware].filter((c) => c.privileged);
+  if (!requiring.length) return [];
+  const reasons = requiring
+    .map((c) => c.privilegedReason)
+    .filter((r): r is string => Boolean(r));
+  const comment = reasons.length ? ` # ${reasons.join("; ")}` : "";
+  return [`    privileged: true${comment}`];
+}
+
 // ---------------------------------------------------------------------------
 // Public API
 // ---------------------------------------------------------------------------
@@ -217,11 +237,14 @@ export function generateDockerCompose(input: GeneratorInput): string {
  const hwVolumes: VolumeMapping[] = [];
  const hwEnv: Record<string, string> = {};

+  const selectedHw: HardwareOption[] = [];
+
  for (const hwId of input.selectedHardware) {
    const hw = hardwareMap.get(hwId);
    if (!hw) continue;
    // Skip GPU device mapping for tensorrt images (it uses deploy instead)
    if (hw.id === "gpu" && device.imageTag === "stable-tensorrt") continue;
+    selectedHw.push(hw);
    hwDevices.push(...(hw.devices ?? []));
    hwVolumes.push(...(hw.volumes ?? []));
    Object.assign(hwEnv, hw.env ?? {});
@@ -231,7 +254,7 @@ export function generateDockerCompose(input: GeneratorInput): string {
    "services:",
    "  frigate:",
    "    container_name: frigate",
-    "    privileged: true # This may not be necessary for all setups",
+    ...buildPrivileged(device, selectedHw),
    "    restart: unless-stopped",
    "    stop_grace_period: 30s # Allow enough time to shut down the various services",
    ...buildImage(device),
@@ -62,6 +62,9 @@ paths:
                type: string
        '401':
          description: Authentication Failed
+        '403':
+          description: Access Denied (proxy user resolved to a default role of 
+            'none')
      security: []
      x-required-role: public
  /profile:
@@ -713,7 +716,7 @@ paths:
        | `improve_contrast` | `ON`, `OFF` |
        | `ptz_autotracker` | `ON`, `OFF` |
        | `birdseye` | `ON`, `OFF` |
-        | `birdseye_mode` | `CONTINUOUS`, `MOTION`, `OBJECTS` |
+        | `birdseye_modes` | `CONTINUOUS`, `MOTION`, `ALL_OBJECTS`, `ALERTS`, `DETECTIONS`, `NONE`, or a comma-separated combination |
        | `motion_contour_area` | integer |
        | `motion_threshold` | integer |
        | `motion_mask` | `ON`, `OFF` |
@@ -803,7 +806,7 @@ paths:
        | `improve_contrast` | `ON`, `OFF` |
        | `ptz_autotracker` | `ON`, `OFF` |
        | `birdseye` | `ON`, `OFF` |
-        | `birdseye_mode` | `CONTINUOUS`, `MOTION`, `OBJECTS` |
+        | `birdseye_modes` | `CONTINUOUS`, `MOTION`, `ALL_OBJECTS`, `ALERTS`, `DETECTIONS`, `NONE`, or a comma-separated combination |
        | `motion_contour_area` | integer |
        | `motion_threshold` | integer |
        | `motion_mask` | `ON`, `OFF` |
@@ -1476,7 +1479,7 @@ paths:
        - Classification
      summary: Get custom classification attributes
      description: |-
-        **Access:** Admin role required.
+        **Access:** Authenticated user with access to all cameras.

        Returns custom classification attributes for a given object type.
            Only includes models with classification_type set to 'attribute'.
@@ -1510,8 +1513,8 @@ paths:
              schema:
                $ref: '#/components/schemas/HTTPValidationError'
      security:
-        - frigateAdminAuth: []
-      x-required-role: admin
+        - frigateUserAuth: []
+      x-required-role: all_cameras
  /classification/{name}/train:
    get:
      tags:
@@ -2946,6 +2949,44 @@ paths:
        - frigateUserAuth: []
      x-required-role: any
      description: '**Access:** Any authenticated user.'
+  /categorized_object_names:
+    get:
+      tags:
+        - App
+      summary: Get known object names by object type
+      description: |-
+        **Access:** Any authenticated user.
+
+        Returns the sub labels and attributes this install can attach,
+            grouped by object type. Unlike /sub_labels, which reflects what has already been
+            detected, this reads the config and model files, so it covers recognized face
+            names, named license plates, custom object classification categories, and the
+            detector attributes of tracked objects.
+      operationId: categorized_object_names_categorized_object_names_get
+      parameters:
+        - name: object_type
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: string
+              - type: 'null'
+            title: Object Type
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HTTPValidationError'
+      security:
+        - frigateUserAuth: []
+      x-required-role: any
  /audio_labels:
    get:
      tags:
@@ -3972,6 +4013,191 @@ paths:
      security:
        - frigateAdminAuth: []
      x-required-role: admin
+  /hardware/probe:
+    get:
+      tags:
+        - Hardware
+      summary: Probe Hardware
+      description: |-
+        **Access:** Admin role required.
+
+        Get the object detection hardware attached to this system.
+
+        Args:
+            refresh: Probe again instead of returning the cached result
+
+        Returns:
+            Every kind of detection hardware that was found
+      operationId: probe_hardware_hardware_probe_get
+      parameters:
+        - name: refresh
+          in: query
+          required: false
+          schema:
+            type: boolean
+            default: false
+            title: Refresh
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema:
+                type: array
+                items:
+                  $ref: '#/components/schemas/DetectionHardware'
+                title: Response Probe Hardware Hardware Probe Get
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HTTPValidationError'
+      security:
+        - frigateAdminAuth: []
+      x-required-role: admin
+  /hardware/hwaccel:
+    get:
+      tags:
+        - Hardware
+      summary: Hwaccel Recommendation
+      description: |-
+        **Access:** Admin role required.
+
+        Get the hardware decoding this system can do.
+
+        Args:
+            detector: Hardware key of the detection hardware in use, which biases
+                the recommendation toward that hardware's GPU
+            codecs: Comma separated codecs of the streams that will be decoded,
+                used to drop families that cannot decode one of them
+
+        Returns:
+            The recommended family (empty when none fits) and every usable family
+      operationId: hwaccel_recommendation_hardware_hwaccel_get
+      parameters:
+        - name: detector
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: string
+              - type: 'null'
+            title: Detector
+        - name: codecs
+          in: query
+          required: false
+          schema:
+            anyOf:
+              - type: string
+              - type: 'null'
+            title: Codecs
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HwaccelRecommendation'
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HTTPValidationError'
+      security:
+        - frigateAdminAuth: []
+      x-required-role: admin
+  /notices:
+    get:
+      tags:
+        - Notices
+      summary: Get Notices
+      description: |-
+        **Access:** Admin role required.
+
+        Get the active notices, most severe first.
+
+        Args:
+            include_dismissed: Also return event notices the user has dismissed
+
+        Returns:
+            The active notices
+      operationId: get_notices_notices_get
+      parameters:
+        - name: include_dismissed
+          in: query
+          required: false
+          schema:
+            type: boolean
+            default: false
+            title: Include Dismissed
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HTTPValidationError'
+      security:
+        - frigateAdminAuth: []
+      x-required-role: admin
+  /notices/stats:
+    get:
+      tags:
+        - Notices
+      summary: Get Notice Stats
+      description: |-
+        **Access:** Admin role required.
+
+        Get lifetime occurrence counts per notice kind.
+      operationId: get_notice_stats_notices_stats_get
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+      security:
+        - frigateAdminAuth: []
+      x-required-role: admin
+  /notices/{notice_id}/dismiss:
+    post:
+      tags:
+        - Notices
+      summary: Dismiss Notice
+      description: |-
+        **Access:** Admin role required.
+
+        Hide an event notice until it is raised again.
+      operationId: dismiss_notice_notices__notice_id__dismiss_post
+      parameters:
+        - name: notice_id
+          in: path
+          required: true
+          schema:
+            type: string
+            title: Notice Id
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HTTPValidationError'
+      security:
+        - frigateAdminAuth: []
+      x-required-role: admin
  /events:
    get:
      tags:
@@ -5984,6 +6210,65 @@ paths:
      security:
        - frigateUserAuth: []
      x-required-role: camera
+  /vod/{camera_name}/{stream}/start/{start_ts}/end/{end_ts}:
+    get:
+      tags:
+        - Media
+      summary: Vod Ts Stream
+      description: |-
+        **Access:** Authenticated user with access to the referenced camera.
+
+        Returns an HLS playlist pinned to one stream type (main or sub) for the specified timestamp-range on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.
+      operationId: 
+        vod_ts_stream_vod__camera_name___stream__start__start_ts__end__end_ts__get
+      parameters:
+        - name: camera_name
+          in: path
+          required: true
+          schema:
+            anyOf:
+              - type: string
+              - type: 'null'
+            title: Camera Name
+        - name: stream
+          in: path
+          required: true
+          schema:
+            $ref: '#/components/schemas/VodStreamPreference'
+        - name: start_ts
+          in: path
+          required: true
+          schema:
+            type: number
+            title: Start Ts
+        - name: end_ts
+          in: path
+          required: true
+          schema:
+            type: number
+            title: End Ts
+        - name: force_discontinuity
+          in: query
+          required: false
+          schema:
+            type: boolean
+            default: false
+            title: Force Discontinuity
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HTTPValidationError'
+      security:
+        - frigateUserAuth: []
+      x-required-role: camera
  /events/{event_id}/snapshot.jpg:
    get:
      tags:
@@ -6922,6 +7207,63 @@ paths:
      security:
        - frigateUserAuth: []
      x-required-role: camera
+  /{camera_name}/recordings/coverage:
+    get:
+      tags:
+        - Recordings
+      summary: Recordings Coverage
+      description: |-
+        **Access:** Authenticated user with access to the referenced camera.
+
+        Returns merged recording coverage spans plus codec compatibility.
+
+        codecs_compatible is false only when more than one known video codec
+        appears across the range's rows, the case where the merged vod route
+        degrades to a single-stream manifest.
+      operationId: recordings_coverage__camera_name__recordings_coverage_get
+      parameters:
+        - name: camera_name
+          in: path
+          required: true
+          schema:
+            anyOf:
+              - type: string
+              - type: 'null'
+            title: Camera Name
+        - name: after
+          in: query
+          required: true
+          schema:
+            type: number
+            title: After
+        - name: before
+          in: query
+          required: true
+          schema:
+            type: number
+            title: Before
+        - name: timelines
+          in: query
+          required: false
+          schema:
+            type: boolean
+            default: false
+            title: Timelines
+      responses:
+        '200':
+          description: Successful Response
+          content:
+            application/json:
+              schema: {}
+        '422':
+          description: Validation Error
+          content:
+            application/json:
+              schema:
+                $ref: '#/components/schemas/HTTPValidationError'
+      security:
+        - frigateUserAuth: []
+      x-required-role: camera
  /{camera_name}/recordings:
    get:
      tags:
@@ -6945,13 +7287,17 @@ paths:
          in: query
          required: false
          schema:
-            type: number
+            anyOf:
+              - type: number
+              - type: 'null'
            title: After
        - name: before
          in: query
          required: false
          schema:
-            type: number
+            anyOf:
+              - type: number
+              - type: 'null'
            title: Before
      responses:
        '200':
@@ -7325,6 +7671,14 @@ components:
            - type: 'null'
          title: New case description
          description: Optional description for a newly created export case
+        stream:
+          $ref: '#/components/schemas/ExportStreamEnum'
+          title: Recorded stream to export
+          description: Which recorded stream every item in the batch is exported
+            from. 'auto' uses the merged timeline, preferring the main stream 
+            and falling back to the sub stream where main has aged out. 'main' 
+            or 'sub' pins the exports to that stream.
+          default: auto
      type: object
      required:
        - items
@@ -7506,6 +7860,18 @@ components:
          description: Per-request thinking toggle. None means use the provider 
            default. Ignored by providers that do not expose a per-request 
            thinking switch.
+        tool_decisions:
+          additionalProperties:
+            type: string
+            enum:
+              - approve
+              - reject
+          type: object
+          title: Tool Decisions
+          description: Decisions for tool calls that paused for approval, keyed 
+            by tool call ID. Send these with the conversation chain returned 
+            alongside an approval request; rejected calls are reported to the 
+            model as declined instead of being executed.
      type: object
      required:
        - messages
@@ -7688,6 +8054,46 @@ components:
      required:
        - ids
      title: DeleteFaceImagesBody
+    DetectionHardware:
+      properties:
+        key:
+          type: string
+          title: Hardware key
+          description: Stable identifier for this kind of hardware.
+        detector:
+          type: string
+          title: Detector type
+          description: The detector that drives this hardware.
+        name:
+          type: string
+          title: Hardware name
+          description: Human readable name for this kind of hardware.
+        units:
+          items:
+            $ref: '#/components/schemas/HardwareUnit'
+          type: array
+          title: Units
+          description: Each physical piece of this hardware that was found.
+        count:
+          type: integer
+          title: Unit count
+          description: How many units were found.
+        unlimited:
+          type: boolean
+          title: Unlimited detectors
+          description: Whether this hardware can run more inference processes 
+            than there are units.
+      type: object
+      required:
+        - key
+        - detector
+        - name
+        - units
+        - count
+        - unlimited
+      title: DetectionHardware
+      description: A kind of detection hardware, and every unit of it that was 
+        found.
    EventCreateResponse:
      properties:
        success:
@@ -8210,6 +8616,14 @@ components:
          title: Chapter mode
          description: Optional chapter metadata to embed in the export. When 
            omitted, the camera's configured export chapter mode is used.
+        stream:
+          $ref: '#/components/schemas/ExportStreamEnum'
+          title: Recorded stream to export
+          description: Which recorded stream to export. 'auto' uses the merged 
+            timeline, preferring the main stream and falling back to the sub 
+            stream where main has aged out. 'main' or 'sub' pins the export to 
+            that stream alone.
+          default: auto
      type: object
      title: ExportRecordingsBody
    ExportRecordingsCustomBody:
@@ -8264,6 +8678,20 @@ components:
      required:
        - name
      title: ExportRenameBody
+    ExportStreamEnum:
+      type: string
+      enum:
+        - auto
+        - main
+        - sub
+      title: ExportStreamEnum
+      description: |-
+        Which recorded stream an export should be built from.
+
+        ``auto`` keeps the merged timeline: main where it exists, sub filling
+        the gaps main has already aged out of. Pinning to one stream trades
+        that coverage for a uniform source, which is always a plain stream
+        copy since nothing hands off mid-export.
    Extension:
      type: string
      enum:
@@ -8415,6 +8843,61 @@ components:
          title: Detail
      type: object
      title: HTTPValidationError
+    HardwareUnit:
+      properties:
+        device:
+          type: string
+          title: Device string
+          description: The value to put in a model's devices list, for example 
+            'edgetpu:pci:1'.
+        label:
+          type: string
+          title: Unit label
+          description: How to identify this unit among others of the same kind, 
+            for example 'PCIe 1'.
+      type: object
+      required:
+        - device
+        - label
+      title: HardwareUnit
+      description: One physical piece of hardware.
+    HwaccelFamily:
+      properties:
+        key:
+          type: string
+          title: Family key
+          description: Stable identifier for this kind of hardware decoding.
+        presets:
+          additionalProperties:
+            type: string
+          type: object
+          title: Presets
+          description: The ffmpeg preset for each codec this family decodes, or 
+            a single 'any' preset when it decodes every codec.
+      type: object
+      required:
+        - key
+        - presets
+      title: HwaccelFamily
+      description: A kind of hardware decoding, and the presets that drive it.
+    HwaccelRecommendation:
+      properties:
+        recommended:
+          type: string
+          title: Recommended family
+          description: Key of the family that fits this system best, or an empty
+            string when none does.
+        available:
+          items:
+            $ref: '#/components/schemas/HwaccelFamily'
+          type: array
+          title: Available families
+          description: Every family this system's hardware can use, best first.
+      type: object
+      required:
+        - recommended
+      title: HwaccelRecommendation
+      description: The hardware decoding this system can do.
    Last24HoursReview:
      properties:
        reviewed_alert:
@@ -8905,6 +9388,17 @@ components:
        - msg
        - type
      title: ValidationError
+    VodStreamPreference:
+      type: string
+      enum:
+        - main
+        - sub
+      title: VodStreamPreference
+      description: |-
+        Stream pin for the path-segment VOD route.
+
+        nginx-vod derives its mapping fetch URI from the playlist URL path
+        (query params are dropped), so the preference must be a path segment.
  securitySchemes:
    frigateAdminAuth:
      type: apiKey
@@ -71,6 +71,7 @@ from frigate.util.config import (
    find_config_file,
    redact_credential,
 )
+from frigate.util.object_names import get_categorized_object_names
 from frigate.util.schema import get_config_schema
 from frigate.util.services import (
    get_nvidia_driver_info,
@@ -291,10 +292,6 @@ def config(request: Request):
    config: dict[str, dict[str, Any]] = config_obj.model_dump(
        mode="json", warnings="none", exclude_none=True
    )
-    config["detectors"] = {
-        name: detector.model_dump(mode="json", warnings="none", exclude_none=True)
-        for name, detector in config_obj.detectors.items()
-    }

    # remove environment_vars for non-admin users
    if request.headers.get("remote-role") != "admin":
@@ -375,31 +372,28 @@ def config(request: Request):
        config["go2rtc"]["streams"][stream_name] = cleaned

    config["plus"] = {"enabled": request.app.frigate_config.plus_api.is_active()}
-    config["model"]["colormap"] = config_obj.model.colormap
-    config["model"]["all_attributes"] = config_obj.model.all_attributes
-    config["model"]["non_logo_attributes"] = config_obj.model.non_logo_attributes

-    # Add model plus data if plus is enabled
-    if config["plus"]["enabled"]:
-        model_path = config.get("model", {}).get("path")
-        if model_path:
-            model_json_path = FilePath(model_path).with_suffix(".json")
+    for index, model in enumerate(config_obj.models):
+        model_dict = config["models"][index]
+        model_dict["colormap"] = model.colormap
+        model_dict["all_attributes"] = model.all_attributes
+        model_dict["non_logo_attributes"] = model.non_logo_attributes
+        model_dict["labelmap"] = model.merged_labelmap
+
+        if not config["plus"]["enabled"]:
+            continue
+
+        # Add model plus data if plus is enabled
+        model_dict["plus"] = None
+
+        if model.path:
+            model_json_path = FilePath(model.path).with_suffix(".json")
+
            try:
                with open(model_json_path) as f:
-                    model_plus_data = json.load(f)
-                config["model"]["plus"] = model_plus_data
-            except FileNotFoundError:
-                config["model"]["plus"] = None
-            except json.JSONDecodeError:
-                config["model"]["plus"] = None
-        else:
-            config["model"]["plus"] = None
-
-    # use merged labelamp
-    for detector_config in config["detectors"].values():
-        detector_config["model"]["labelmap"] = (
-            request.app.frigate_config.model.merged_labelmap
-        )
+                    model_dict["plus"] = json.load(f)
+            except (FileNotFoundError, json.JSONDecodeError):
+                pass

    return JSONResponse(content=config)

@@ -1313,9 +1307,41 @@ def get_sub_labels(
    return JSONResponse(content=sub_labels)


+@router.get(
+    "/categorized_object_names",
+    dependencies=[Depends(allow_any_authenticated())],
+    summary="Get known object names by object type",
+    description="""Returns the sub labels and attributes this install can attach,
+    grouped by object type. Unlike /sub_labels, which reflects what has already been
+    detected, this reads the config and model files, so it covers recognized face
+    names, named license plates, custom object classification categories, and the
+    detector attributes of tracked objects.""",
+)
+def categorized_object_names(
+    request: Request,
+    object_type: str | None = None,
+    allowed_cameras: list[str] = Depends(get_allowed_cameras_for_filter),
+):
+    return JSONResponse(
+        content=get_categorized_object_names(
+            request.app.frigate_config, allowed_cameras, object_type
+        )
+    )
+
+
@router.get("/audio_labels", dependencies=[Depends(allow_any_authenticated())])
-def get_audio_labels():
+def get_audio_labels(request: Request):
    labels = load_labels("/audio-labelmap.txt", prefill=521)
+
+    # configured overrides group several audio classes under one label, and the
+    # detector merges them over the defaults at runtime. Offer them here too, or
+    # a grouped label could never be picked in the UI.
+    config: FrigateConfig = request.app.frigate_config
+    labels.update(config.audio.labelmap)
+
+    for camera in config.cameras.values():
+        labels.update(camera.audio.labelmap)
+
    return JSONResponse(content=labels)


@@ -1337,11 +1363,14 @@ def plusModels(request: Request, filterByCurrentModelDetector: bool = False):

    modelList = models["list"]

+    config: FrigateConfig = request.app.frigate_config
+    primary_model = config.primary_model
+
    # current model type
-    modelType = request.app.frigate_config.model.model_type
+    modelType = primary_model.model_type

    # current detectorType for comparing to supportedDetectors
-    detectorType = list(request.app.frigate_config.detectors.values())[0].type
+    detectorType = config.devices_for_model(primary_model)[0].detector

    validModels = []

@@ -83,8 +83,10 @@ def require_admin_by_default():
        "/nvinfo",
        "/labels",
        "/sub_labels",
+        "/categorized_object_names",
        "/plus/models",
        "/recognized_license_plates",
+        "/classification/attributes",
        "/timeline",
        "/timeline/hourly",
        "/recordings/storage",
@@ -495,6 +497,7 @@ def resolve_role(
                     Admin matches short-circuit to admin.
                 - If no role_map is configured, treat the header as role names directly.
      2. If no valid role is found, return proxy_config.default_role if it's valid in config_roles, else 'viewer'.
+         The literal value 'none' is a valid default and means access should be denied.

    Args:
        headers (dict): Incoming request headers (case-insensitive).
@@ -507,10 +510,17 @@ def resolve_role(
    default_role = proxy_config.default_role
    role_header = proxy_config.header_map.role

-    # Validate default_role against config; fallback to 'viewer' if invalid
-    validated_default = default_role if default_role in config_roles else "viewer"
+    # Validate default_role against config; fallback to 'viewer' if invalid.
+    # "none" is a sentinel meaning "deny access when no mapping matches"; it is
+    # reserved in AuthConfig.validate_roles so it is never a configured role.
+    validated_default = (
+        default_role
+        if default_role in config_roles or default_role == "none"
+        else "viewer"
+    )
    if not config_roles:
-        validated_default = "viewer"  # Edge case: no roles defined
+        # Edge case: no roles defined
+        validated_default = "none" if default_role == "none" else "viewer"

    if not role_header:
        logger.debug(
@@ -615,6 +625,9 @@ def resolve_role(
            },
        },
        401: {"description": "Authentication Failed"},
+        403: {
+            "description": "Access Denied (proxy user resolved to a default role of 'none')"
+        },
    },
 )
 def auth(request: Request):
@@ -664,6 +677,10 @@ def auth(request: Request):
        config_roles_set = set(auth_config.roles.keys())
        role = resolve_role(request.headers, proxy_config, config_roles_set)

+        if role == "none":
+            logger.debug("Resolved role is 'none', denying access")
+            return Response("", status_code=403)
+
        success_response.headers["remote-role"] = role

        deny_status = deny_response_for_media_uri(original_url, role, frigate_config)
@@ -857,9 +874,12 @@ def login(request: Request, body: AppPostLoginBody):
    user = body.user
    password = body.password

+    remote_addr = get_remote_addr(request)
+
    try:
        db_user: User = User.get_by_id(user)
    except DoesNotExist:
+        logger.warning(f"Login failed for unknown user '{user}' from {remote_addr}")
        return JSONResponse(content={"message": "Login failed"}, status_code=401)

    password_hash = db_user.password_hash
@@ -887,6 +907,10 @@ def login(request: Request, body: AppPostLoginBody):
            request.app.frigate_config.auth.admin_first_time_login = False

        return response
+
+    logger.warning(
+        f"Login failed for user '{user}' (invalid password) from {remote_addr}"
+    )
    return JSONResponse(content={"message": "Login failed"}, status_code=401)


@@ -33,7 +33,7 @@ from frigate.config.camera.updater import (
    CameraConfigUpdateEnum,
    CameraConfigUpdateTopic,
 )
-from frigate.config.env import substitute_frigate_vars
+from frigate.config.env import UnknownVariableError, substitute_frigate_vars
 from frigate.models import User
 from frigate.util.builtin import clean_camera_user_pass, get_record_segment_time
 from frigate.util.camera_cleanup import cleanup_camera_db, cleanup_camera_files
@@ -166,7 +166,7 @@ def go2rtc_add_stream(request: Request, stream_name: str, src: str = ""):
        if src:
            try:
                resolved_src = substitute_frigate_vars(src)
-            except KeyError:
+            except UnknownVariableError:
                resolved_src = src

            if is_restricted_go2rtc_source(resolved_src):
@@ -302,7 +302,9 @@ def ffprobe(request: Request, paths: str = "", detailed: bool = False):
                    stderr_decoded = str(ffprobe.stderr)

            stderr_lines = [
-                line.strip() for line in stderr_decoded.split("\n") if line.strip()
+                clean_camera_user_pass(line.strip())
+                for line in stderr_decoded.split("\n")
+                if line.strip()
            ]

            result = {
@@ -651,6 +653,32 @@ async def _connect_onvif_camera(
    raise first_error


+def _supports_continuous_pan_tilt(nodes) -> bool:
+    """Whether any PTZ node advertises continuous pan/tilt velocity.
+
+    The web UI's directional controls issue ContinuousMove with a PanTilt
+    velocity, so continuous pan/tilt is what makes those controls usable. This
+    is intentionally narrower than ptz_supported, which is true for any device
+    exposing the ONVIF PTZ service - including zoom/focus-only varifocal lenses.
+    """
+    for node in nodes or []:
+        spaces = getattr(node, "SupportedPTZSpaces", None) or (
+            node.get("SupportedPTZSpaces") if isinstance(node, dict) else None
+        )
+        if spaces is None:
+            continue
+
+        continuous = getattr(spaces, "ContinuousPanTiltVelocitySpace", None) or (
+            spaces.get("ContinuousPanTiltVelocitySpace")
+            if isinstance(spaces, dict)
+            else None
+        )
+        if continuous:
+            return True
+
+    return False
+
+
@router.get(
    "/onvif/probe",
    dependencies=[Depends(require_role(["admin"]))],
@@ -808,6 +836,7 @@ async def onvif_probe(

        # Check PTZ support and capabilities
        ptz_supported = False
+        pan_tilt_supported = False
        presets_count = 0
        autotrack_supported = False

@@ -841,6 +870,15 @@ async def onvif_probe(
                    logger.debug(f"Failed to get presets: {e}")
                    presets_count = 0

+            # Check for real (continuous) pan/tilt, which the UI controls need
+            if ptz_supported:
+                try:
+                    nodes = await ptz_service.GetNodes()
+                    pan_tilt_supported = _supports_continuous_pan_tilt(nodes)
+                    logger.debug(f"Continuous pan/tilt supported: {pan_tilt_supported}")
+                except Exception as e:
+                    logger.debug(f"Failed to read PTZ nodes for pan/tilt support: {e}")
+
            # Check for autotracking support - requires both FOV relative movement and MoveStatus
            if ptz_supported and first_profile_token and ptz_config_token:
                # First check for FOV relative movement support
@@ -960,6 +998,7 @@ async def onvif_probe(
            "firmware_version": device_info["firmware_version"],
            "profiles_count": profiles_count,
            "ptz_supported": ptz_supported,
+            "pan_tilt_supported": pan_tilt_supported,
            "presets_count": presets_count,
            "autotrack_supported": autotrack_supported,
        }
@@ -1264,6 +1303,9 @@ async def delete_camera(
            if request.app.dispatcher is not None:
                request.app.dispatcher.clear_runtime_state_for_camera(camera_name)

+            if request.app.notice_registry is not None:
+                request.app.notice_registry.resolve_camera(camera_name)
+
            # Publish removal to stop ffmpeg processes and clean up runtime state
            request.app.config_publisher.publish_update(
                CameraConfigUpdateTopic(CameraConfigUpdateEnum.remove, camera_name),
@@ -1349,7 +1391,7 @@ def camera_set(
    | `improve_contrast` | `ON`, `OFF` |
    | `ptz_autotracker` | `ON`, `OFF` |
    | `birdseye` | `ON`, `OFF` |
-    | `birdseye_mode` | `CONTINUOUS`, `MOTION`, `OBJECTS` |
+    | `birdseye_modes` | `CONTINUOUS`, `MOTION`, `ALL_OBJECTS`, `ALERTS`, `DETECTIONS`, `NONE`, or a comma-separated combination |
    | `motion_contour_area` | integer |
    | `motion_threshold` | integer |
    | `motion_mask` | `ON`, `OFF` |
@@ -10,6 +10,7 @@ from functools import reduce
 from typing import Any, Literal

 import cv2
+import numpy as np
 from fastapi import APIRouter, Body, Depends, HTTPException, Request
 from fastapi.responses import JSONResponse, StreamingResponse
 from pydantic import BaseModel
@@ -23,6 +24,7 @@ from frigate.api.chat_util import (
    chunk_content,
    distance_to_score,
    format_events_with_local_time,
+    format_local_time,
    fuse_scores,
    hydrate_event,
    parse_iso_to_timestamp,
@@ -33,28 +35,44 @@ from frigate.api.defs.response.chat_response import (
    ChatCompletionResponse,
    ChatMessageResponse,
    ToolCall,
+    ToolCallInvocation,
 )
 from frigate.api.defs.tags import Tags
 from frigate.api.event import _build_attribute_filter_clause, events
+from frigate.api.export import _build_export_job, _validate_export_source
 from frigate.config import FrigateConfig
 from frigate.config.classification import SemanticSearchModelEnum
 from frigate.genai.prompts import (
    build_chat_system_prompt,
    get_attribute_classifications,
    get_tool_definitions,
+    get_write_tool_names,
+    strip_tool_access,
 )
-from frigate.genai.utils import build_assistant_message_for_conversation
+from frigate.genai.utils import (
+    build_assistant_message_for_conversation,
+    parse_tool_calls_from_message,
+)
+from frigate.jobs.export import ExportQueueFullError, start_export_job
 from frigate.jobs.vlm_watch import (
    get_vlm_watch_job,
    start_vlm_watch_job,
    stop_vlm_watch_job,
 )
-from frigate.models import Event
+from frigate.models import Event, Export, ExportCase
+from frigate.record.export import PlaybackSourceEnum
+from frigate.util.file import get_event_thumbnail_bytes, load_event_snapshot_image
+from frigate.util.object_names import get_categorized_object_names

 logger = logging.getLogger(__name__)

 router = APIRouter(tags=[Tags.chat])

+# Tool result recorded for a rejected write tool call. Providers require a
+# result for every requested call; the user's intent is conveyed in a
+# follow-up user message built by _rejection_message.
+TOOL_REJECTED_RESULT: dict[str, str] = {"error": "user_rejected"}
+

 class ToolExecuteRequest(BaseModel):
    """Request model for tool execution."""
@@ -539,6 +557,11 @@ async def execute_tool(
    if tool_name == "search_objects":
        return await _execute_search_objects(request, arguments, allowed_cameras)

+    if tool_name == "get_categorized_object_names":
+        return JSONResponse(
+            content=_execute_get_categorized_object_names(request, allowed_cameras)
+        )
+
    if tool_name == "find_similar_objects":
        result = await _execute_find_similar_objects(
            request, arguments, allowed_cameras
@@ -591,7 +614,7 @@ async def _execute_get_live_context(

    try:
        frame_processor = request.app.detected_frames_processor
-        camera_state = frame_processor.camera_states.get(camera)
+        camera_state = frame_processor.get_camera_state(camera)

        if camera_state is None:
            return {
@@ -655,34 +678,44 @@ async def _get_live_frame_image_url(
        return None
    try:
        frame_processor = request.app.detected_frames_processor
-        if camera not in frame_processor.camera_states:
+        if frame_processor.get_camera_state(camera) is None:
            return None
        frame = frame_processor.get_current_frame(camera, {})
        if frame is None:
            return None
-        height, width = frame.shape[:2]
-        target_height = 480
-        if height > target_height:
-            scale = target_height / height
-            frame = cv2.resize(
-                frame,
-                (int(width * scale), target_height),
-                interpolation=cv2.INTER_AREA,
-            )
-        _, img_encoded = cv2.imencode(".jpg", frame, [cv2.IMWRITE_JPEG_QUALITY, 85])
-        b64 = base64.b64encode(img_encoded.tobytes()).decode("utf-8")
-        return f"data:image/jpeg;base64,{b64}"
+        return _encode_frame_data_url(frame)
    except Exception as e:
        logger.debug("Failed to get live frame for %s: %s", camera, e)
        return None


+def _encode_frame_data_url(frame: np.ndarray, target_height: int = 480) -> str:
+    """Downscale a BGR frame and encode it as a JPEG data URL for the model."""
+    height, width = frame.shape[:2]
+    if height > target_height:
+        scale = target_height / height
+        frame = cv2.resize(
+            frame,
+            (int(width * scale), target_height),
+            interpolation=cv2.INTER_AREA,
+        )
+    _, img_encoded = cv2.imencode(".jpg", frame, [cv2.IMWRITE_JPEG_QUALITY, 85])
+    b64 = base64.b64encode(img_encoded.tobytes()).decode("utf-8")
+    return f"data:image/jpeg;base64,{b64}"
+
+
+def _request_roles(request: Request) -> list[str]:
+    """Roles from the auth proxy header, split on the configured separator."""
+    separator = request.app.frigate_config.proxy.separator
+    header = request.headers.get("remote-role", "")
+    return [r.strip() for r in header.split(separator) if r.strip()]
+
+
 async def _execute_set_camera_state(
    request: Request,
    arguments: dict[str, Any],
 ) -> dict[str, Any]:
-    role = request.headers.get("remote-role", "")
-    if "admin" not in [r.strip() for r in role.split(",")]:
+    if "admin" not in _request_roles(request):
        return {"error": "Admin privileges required to change camera settings."}

    camera = arguments.get("camera", "").strip()
@@ -717,6 +750,204 @@ async def _execute_set_camera_state(
    return {"success": True, "camera": camera, "feature": feature, "value": value}


+def _execute_get_categorized_object_names(
+    request: Request,
+    allowed_cameras: list[str],
+) -> dict[str, Any]:
+    names = get_categorized_object_names(request.app.frigate_config, allowed_cameras)
+
+    if not names:
+        return {
+            "names": {},
+            "message": "No names configured; search by label or semantic_query.",
+        }
+
+    return {"names": names}
+
+
+def _execute_get_export_cases(allowed_cameras: list[str]) -> dict[str, Any]:
+    """List export cases with how many accessible exports each one holds."""
+    from peewee import fn
+
+    count_rows = (
+        Export.select(Export.export_case, fn.COUNT(Export.id))
+        .where(Export.camera << allowed_cameras, Export.export_case.is_null(False))
+        .group_by(Export.export_case)
+        .tuples()
+    )
+    counts = {case_id: count for case_id, count in count_rows}
+
+    cases: list[dict[str, Any]] = []
+    for case in ExportCase.select().order_by(ExportCase.created_at.desc()):
+        created_at = case.created_at
+        cases.append(
+            {
+                "id": case.id,
+                "name": case.name,
+                "description": case.description,
+                "created_at_local": format_local_time(created_at.timestamp())
+                if isinstance(created_at, datetime)
+                else str(created_at),
+                "export_count": counts.get(case.id, 0),
+            }
+        )
+
+    if not cases:
+        return {"cases": [], "message": "No export cases exist yet."}
+
+    return {"cases": cases}
+
+
+async def _execute_create_export(
+    request: Request,
+    arguments: dict[str, Any],
+    allowed_cameras: list[str],
+) -> dict[str, Any]:
+    """Queue a recording export, optionally attached to an existing case."""
+    config = request.app.frigate_config
+    camera = (arguments.get("camera") or "").strip()
+    start_time = parse_iso_to_timestamp(arguments.get("start_time"))
+    end_time = parse_iso_to_timestamp(arguments.get("end_time"))
+    name = (arguments.get("name") or "").strip() or None
+
+    if not camera or start_time is None or end_time is None:
+        return {"error": "camera, start_time, and end_time are all required."}
+
+    if camera not in config.cameras:
+        return {"error": f"Camera '{camera}' not found."}
+
+    if camera not in allowed_cameras:
+        return {"error": f"Camera '{camera}' not found or access denied"}
+
+    if end_time <= start_time:
+        return {"error": "end_time must be after start_time."}
+
+    try:
+        playback_source = PlaybackSourceEnum(arguments.get("source") or "recordings")
+    except ValueError:
+        return {"error": "source must be 'recordings' or 'preview'."}
+
+    # Mirror the export API: attaching to an existing case is admin-only
+    # until case-level ACLs exist.
+    export_case_id = (arguments.get("export_case_id") or "").strip() or None
+    if export_case_id is not None:
+        if "admin" not in _request_roles(request):
+            return {"error": "Only admins can attach exports to an existing case."}
+        try:
+            ExportCase.get(ExportCase.id == export_case_id)
+        except ExportCase.DoesNotExist:
+            return {"error": f"Export case '{export_case_id}' not found."}
+
+    source_error = _validate_export_source(
+        camera, start_time, end_time, playback_source
+    )
+    if source_error is not None:
+        return {"error": source_error}
+
+    export_job = _build_export_job(
+        camera,
+        start_time,
+        end_time,
+        name,
+        None,
+        playback_source,
+        export_case_id,
+        chapters=config.cameras[camera].record.export.chapters,
+    )
+    try:
+        start_export_job(config, export_job)
+    except ExportQueueFullError:
+        return {"error": "Export queue is full. Try again once current exports finish."}
+
+    return {
+        "success": True,
+        "export_id": export_job.id,
+        "status": "queued",
+        "camera": camera,
+        "name": name,
+        "source": playback_source.value,
+        "start_time_local": format_local_time(start_time),
+        "end_time_local": format_local_time(end_time),
+        "export_case_id": export_case_id,
+        "message": "Export queued. It will appear on the Export page when finished.",
+    }
+
+
+async def _execute_get_event_image(
+    request: Request,
+    arguments: dict[str, Any],
+    allowed_cameras: list[str],
+) -> dict[str, Any]:
+    """Attach an event's thumbnail or snapshot for a vision model to view."""
+    event_id = (arguments.get("event_id") or "").strip()
+    if not event_id:
+        return {"error": "event_id is required."}
+
+    image_type = arguments.get("image") or "thumbnail"
+    if image_type not in ("thumbnail", "snapshot"):
+        return {"error": "image must be 'thumbnail' or 'snapshot'."}
+
+    try:
+        event = Event.get(Event.id == event_id)
+    except Event.DoesNotExist:
+        return {"error": f"Could not find event {event_id}."}
+
+    if event.camera not in allowed_cameras:
+        return {"error": f"Event {event_id} not found or access denied"}
+
+    chat_client = request.app.genai_manager.chat_client
+    if chat_client is None or not chat_client.supports_vision:
+        return {
+            "error": (
+                "The configured chat model does not support vision, so images "
+                "cannot be viewed."
+            )
+        }
+
+    note = None
+    frame = None
+    if image_type == "snapshot":
+        if event.has_snapshot:
+            frame, _ = load_event_snapshot_image(event)
+        if frame is None:
+            note = "Snapshot not available; returning the thumbnail instead."
+            image_type = "thumbnail"
+
+    if frame is None:
+        thumbnail = get_event_thumbnail_bytes(event)
+        if thumbnail:
+            frame = cv2.imdecode(
+                np.frombuffer(thumbnail, dtype=np.uint8), cv2.IMREAD_COLOR
+            )
+
+    if frame is None:
+        return {"error": f"No image is available for event {event_id}."}
+
+    result: dict[str, Any] = {
+        "id": event.id,
+        "camera": event.camera,
+        "label": event.label,
+        "sub_label": event.sub_label,
+        "zones": event.zones,
+        "start_time_local": format_local_time(event.start_time),
+        "image": image_type,
+    }
+    if event.end_time is not None:
+        result["end_time_local"] = format_local_time(event.end_time)
+    description = (event.data or {}).get("description")
+    if description:
+        result["description"] = description
+    if note:
+        result["note"] = note
+
+    result["_image_url"] = _encode_frame_data_url(frame)
+    result["_image_text"] = (
+        f"Here is the {image_type} for event {event.id} "
+        f"({event.sub_label or event.label} on {event.camera})."
+    )
+    return result
+
+
 async def _execute_tool_internal(
    tool_name: str,
    arguments: dict[str, Any],
@@ -741,6 +972,8 @@ async def _execute_tool_internal(
        except (json.JSONDecodeError, AttributeError) as e:
            logger.warning(f"Failed to extract tool result: {e}")
            return {"error": "Failed to parse tool result"}
+    elif tool_name == "get_categorized_object_names":
+        return _execute_get_categorized_object_names(request, allowed_cameras)
    elif tool_name == "find_similar_objects":
        return await _execute_find_similar_objects(request, arguments, allowed_cameras)
    elif tool_name == "set_camera_state":
@@ -770,10 +1003,17 @@ async def _execute_tool_internal(
        return _execute_get_profile_status(request)
    elif tool_name == "get_recap":
        return _execute_get_recap(arguments, allowed_cameras)
+    elif tool_name == "get_export_cases":
+        return _execute_get_export_cases(allowed_cameras)
+    elif tool_name == "create_export":
+        return await _execute_create_export(request, arguments, allowed_cameras)
+    elif tool_name == "get_event_image":
+        return await _execute_get_event_image(request, arguments, allowed_cameras)
    else:
        logger.error(
            "Tool call failed: unknown tool %r. Expected one of: search_objects, find_similar_objects, "
-            "get_live_context, start_camera_watch, stop_camera_watch, get_profile_status, get_recap. "
+            "get_categorized_object_names, get_live_context, start_camera_watch, stop_camera_watch, "
+            "get_profile_status, get_recap, get_export_cases, create_export, get_event_image. "
            "Arguments received: %s",
            tool_name,
            json.dumps(arguments),
@@ -1003,14 +1243,74 @@ def _execute_get_recap(
        return {"error": "Failed to fetch recap data."}


+def _pending_tool_calls_from_tail(
+    conversation: list[dict[str, Any]],
+) -> list[dict[str, Any]] | None:
+    """Return the tool calls of a trailing assistant message, if any.
+
+    A conversation that ends with an assistant message requesting tools is a
+    resume after an approval pause: the client sends the chain back with its
+    decisions and the loop runs those calls before asking the model again.
+    """
+    if not conversation:
+        return None
+    tail = conversation[-1]
+    if tail.get("role") != "assistant" or not tail.get("tool_calls"):
+        return None
+    return parse_tool_calls_from_message(tail)
+
+
+def _tool_calls_awaiting_approval(
+    pending_tool_calls: list[dict[str, Any]],
+    body: ChatCompletionRequest,
+    write_tools: set[str],
+) -> list[dict[str, Any]]:
+    """Return the write tool calls the user still has to decide on."""
+    return [
+        {
+            "id": tc["id"],
+            "name": tc["name"],
+            "arguments": tc.get("arguments") or {},
+        }
+        for tc in pending_tool_calls
+        if tc["name"] in write_tools and tc["id"] not in body.tool_decisions
+    ]
+
+
+def _rejection_message(tool_names: list[str]) -> dict[str, Any]:
+    """User message telling the model a rejected call should not proceed.
+
+    Uses list-form content so the UI, which only renders string user
+    content, does not show it as something the user typed.
+    """
+    names = ", ".join(name.replace("_", " ") for name in tool_names)
+    return {
+        "role": "user",
+        "content": [
+            {
+                "type": "text",
+                "text": (
+                    f"I do not want to proceed with the {names} call. Ask me for "
+                    "clarification or suggest adjustments instead of running it."
+                ),
+            }
+        ],
+    }
+
+
 async def _execute_pending_tools(
    pending_tool_calls: list[dict[str, Any]],
    request: Request,
    allowed_cameras: list[str],
+    decisions: dict[str, str] | None = None,
 ) -> tuple[list[ToolCall], list[dict[str, Any]], list[dict[str, Any]]]:
    """
    Execute a list of tool calls.

+    Calls the user rejected (per `decisions`) are not executed; they get a
+    placeholder result and a user message saying not to proceed is appended
+    after the tool results.
+
    Returns:
        (ToolCall list for API response,
         tool result dicts for conversation,
@@ -1019,10 +1319,28 @@ async def _execute_pending_tools(
    tool_calls_out: list[ToolCall] = []
    tool_results: list[dict[str, Any]] = []
    extra_messages: list[dict[str, Any]] = []
+    rejected_tools: list[str] = []
    for tool_call in pending_tool_calls:
        tool_name = tool_call["name"]
        tool_args = tool_call.get("arguments") or {}
        tool_call_id = tool_call["id"]
+        if decisions and decisions.get(tool_call_id) == "reject":
+            logger.debug(
+                "Tool %s (id: %s) was rejected by the user", tool_name, tool_call_id
+            )
+            rejected_tools.append(tool_name)
+            rejected_content = json.dumps(TOOL_REJECTED_RESULT)
+            tool_calls_out.append(
+                ToolCall(name=tool_name, arguments=tool_args, response=rejected_content)
+            )
+            tool_results.append(
+                {
+                    "role": "tool",
+                    "tool_call_id": tool_call_id,
+                    "content": rejected_content,
+                }
+            )
+            continue
        logger.debug(
            f"Executing tool: {tool_name} (id: {tool_call_id}) with arguments: {json.dumps(tool_args, indent=2)}"
        )
@@ -1056,17 +1374,21 @@ async def _execute_pending_tools(
                    if isinstance(evt, dict)
                ]

-            # Extract _image_url from get_live_context results — images can
-            # only be sent in user messages, not tool results
+            # Extract _image_url from tool results — images can only be sent
+            # in user messages, not tool results
            if isinstance(tool_result, dict) and "_image_url" in tool_result:
                image_url = tool_result.pop("_image_url")
+                image_text = tool_result.pop("_image_text", None) or (
+                    "Here is the current live image from camera "
+                    f"'{tool_result.get('camera', 'unknown')}'."
+                )
                extra_messages.append(
                    {
                        "role": "user",
                        "content": [
                            {
                                "type": "text",
-                                "text": f"Here is the current live image from camera '{tool_result.get('camera', 'unknown')}'.",
+                                "text": image_text,
                            },
                            {
                                "type": "image_url",
@@ -1110,6 +1432,8 @@ async def _execute_pending_tools(
                    "content": error_content,
                }
            )
+    if rejected_tools:
+        extra_messages.append(_rejection_message(rejected_tools))
    return (tool_calls_out, tool_results, extra_messages)


@@ -1156,6 +1480,8 @@ async def chat_completion(
        attribute_classifications=attribute_classifications,
        embeddings_language=_embeddings_language(config),
    )
+    write_tools = get_write_tool_names(tools)
+    llm_tools = strip_tool_access(tools)
    conversation = []

    # Build the system message only when the client hasn't already pinned one.
@@ -1194,6 +1520,10 @@ async def chat_completion(
    tool_calls: list[ToolCall] = []
    max_iterations = body.max_tool_iterations

+    # Resume after an approval pause: run the tail's tool calls (honoring the
+    # client's decisions) before asking the model for anything new.
+    resume_pending = _pending_tool_calls_from_tail(conversation)
+
    logger.debug(
        f"Starting chat completion with {len(conversation)} message(s), "
        f"{len(tools)} tool(s) available, max_iterations={max_iterations}"
@@ -1205,93 +1535,64 @@ async def chat_completion(

        async def stream_body_llm():
            nonlocal conversation, stream_iterations
+            pending: list[dict[str, Any]] | None = resume_pending

-            def _emit_chain(extra: list[dict[str, Any]] | None = None):
+            def _emit(payload: dict[str, Any]) -> bytes:
+                return json.dumps(payload).encode("utf-8") + b"\n"
+
+            def _emit_chain(extra: list[dict[str, Any]] | None = None) -> bytes:
                # Return the full conversation (including the system message) so
                # the client persists and replays it verbatim next turn.
-                chain = conversation + (extra or [])
-                return (
-                    json.dumps({"type": "messages", "messages": chain}).encode("utf-8")
-                    + b"\n"
+                return _emit(
+                    {"type": "messages", "messages": conversation + (extra or [])}
                )

            while stream_iterations < max_iterations:
                if await request.is_disconnected():
                    logger.debug("Client disconnected, stopping chat stream")
                    return
-                logger.debug(
-                    f"Streaming LLM (iteration {stream_iterations + 1}/{max_iterations}) "
-                    f"with {len(conversation)} message(s)"
-                )
-                async for event in genai_client.chat_with_tools_stream(
-                    messages=conversation,
-                    tools=tools if tools else None,
-                    tool_choice="auto",
-                    enable_thinking=body.enable_thinking,
-                ):
-                    if await request.is_disconnected():
-                        logger.debug("Client disconnected, stopping chat stream")
-                        return
-                    kind, value = event
-                    if kind == "content_delta":
-                        yield (
-                            json.dumps({"type": "content", "delta": value}).encode(
-                                "utf-8"
-                            )
-                            + b"\n"
-                        )
-                    elif kind == "reasoning_delta":
-                        yield (
-                            json.dumps({"type": "reasoning", "delta": value}).encode(
-                                "utf-8"
-                            )
-                            + b"\n"
-                        )
-                    elif kind == "stats":
-                        yield (
-                            json.dumps({"type": "stats", **value}).encode("utf-8")
-                            + b"\n"
-                        )
-                    elif kind == "message":
-                        msg = value
-                        if msg.get("finish_reason") == "error":
-                            yield (
-                                json.dumps(
+
+                if pending is None:
+                    logger.debug(
+                        f"Streaming LLM (iteration {stream_iterations + 1}/{max_iterations}) "
+                        f"with {len(conversation)} message(s)"
+                    )
+                    async for event in genai_client.chat_with_tools_stream(
+                        messages=conversation,
+                        tools=llm_tools if llm_tools else None,
+                        tool_choice="auto",
+                        enable_thinking=body.enable_thinking,
+                    ):
+                        if await request.is_disconnected():
+                            logger.debug("Client disconnected, stopping chat stream")
+                            return
+                        kind, value = event
+                        if kind == "content_delta":
+                            yield _emit({"type": "content", "delta": value})
+                        elif kind == "reasoning_delta":
+                            yield _emit({"type": "reasoning", "delta": value})
+                        elif kind == "stats":
+                            yield _emit({"type": "stats", **value})
+                        elif kind == "message":
+                            msg = value
+                            if msg.get("finish_reason") == "error":
+                                yield _emit(
                                    {
                                        "type": "error",
                                        "error": "An error occurred while processing your request.",
                                    }
-                                ).encode("utf-8")
-                                + b"\n"
-                            )
-                            return
-                        pending = msg.get("tool_calls")
-                        if pending:
-                            stream_iterations += 1
-                            conversation.append(
-                                build_assistant_message_for_conversation(
-                                    msg.get("content"), pending
-                                )
-                            )
-                            if await request.is_disconnected():
-                                logger.debug(
-                                    "Client disconnected before tool execution"
                                )
                                return
-                            (
-                                _executed_calls,
-                                tool_results,
-                                extra_msgs,
-                            ) = await _execute_pending_tools(
-                                pending, request, allowed_cameras
-                            )
-                            conversation.extend(tool_results)
-                            conversation.extend(extra_msgs)
-                            # Emit the running chain so the client can render tool
-                            # calls live and replay them verbatim next turn.
-                            yield _emit_chain()
-                            break
-                        else:
+                            requested = msg.get("tool_calls")
+                            if requested:
+                                stream_iterations += 1
+                                conversation.append(
+                                    build_assistant_message_for_conversation(
+                                        msg.get("content"), requested
+                                    )
+                                )
+                                pending = requested
+                                break
                            # Streaming never appends the final assistant message
                            # to the conversation, so add it to the chain.
                            yield _emit_chain(
@@ -1302,11 +1603,41 @@ async def chat_completion(
                                    }
                                ]
                            )
-                            yield (json.dumps({"type": "done"}).encode("utf-8") + b"\n")
+                            yield _emit({"type": "done"})
                            return
-            else:
+                    if pending is None:
+                        # The stream ended without a final message; nothing
+                        # more to run.
+                        break
+
+                awaiting = _tool_calls_awaiting_approval(pending, body, write_tools)
+                if awaiting:
+                    # Pause before running write tools. The client shows the
+                    # calls, collects decisions, and resends the chain.
+                    yield _emit_chain()
+                    yield _emit({"type": "approval_required", "tool_calls": awaiting})
+                    yield _emit({"type": "done"})
+                    return
+
+                if await request.is_disconnected():
+                    logger.debug("Client disconnected before tool execution")
+                    return
+                (
+                    _executed_calls,
+                    tool_results,
+                    extra_msgs,
+                ) = await _execute_pending_tools(
+                    pending, request, allowed_cameras, decisions=body.tool_decisions
+                )
+                conversation.extend(tool_results)
+                conversation.extend(extra_msgs)
+                pending = None
+                # Emit the running chain so the client can render tool
+                # calls live and replay them verbatim next turn.
                yield _emit_chain()
-                yield json.dumps({"type": "done"}).encode("utf-8") + b"\n"
+
+            yield _emit_chain()
+            yield _emit({"type": "done"})

        return StreamingResponse(
            stream_body_llm(),
@@ -1315,102 +1646,129 @@ async def chat_completion(
        )

    try:
+        pending_tool_calls = resume_pending
        while tool_iterations < max_iterations:
-            logger.debug(
-                f"Calling LLM (iteration {tool_iterations + 1}/{max_iterations}) "
-                f"with {len(conversation)} message(s) in conversation"
-            )
-            response = genai_client.chat_with_tools(
-                messages=conversation,
-                tools=tools if tools else None,
-                tool_choice="auto",
-                enable_thinking=body.enable_thinking,
-            )
-
-            if response.get("finish_reason") == "error":
-                logger.error("GenAI client returned an error")
-                return JSONResponse(
-                    content={
-                        "error": "An error occurred while processing your request.",
-                    },
-                    status_code=500,
-                )
-
-            conversation.append(
-                build_assistant_message_for_conversation(
-                    response.get("content"), response.get("tool_calls")
-                )
-            )
-
-            pending_tool_calls = response.get("tool_calls")
-            if not pending_tool_calls:
+            if pending_tool_calls is None:
                logger.debug(
-                    f"Chat completion finished with final answer (iterations: {tool_iterations})"
+                    f"Calling LLM (iteration {tool_iterations + 1}/{max_iterations}) "
+                    f"with {len(conversation)} message(s) in conversation"
+                )
+                response = genai_client.chat_with_tools(
+                    messages=conversation,
+                    tools=llm_tools if llm_tools else None,
+                    tool_choice="auto",
+                    enable_thinking=body.enable_thinking,
                )
-                final_content = response.get("content") or ""

-                if body.stream:
-                    final_reasoning = response.get("reasoning")
+                if response.get("finish_reason") == "error":
+                    logger.error("GenAI client returned an error")
+                    return JSONResponse(
+                        content={
+                            "error": "An error occurred while processing your request.",
+                        },
+                        status_code=500,
+                    )

-                    chain = list(conversation)
+                conversation.append(
+                    build_assistant_message_for_conversation(
+                        response.get("content"), response.get("tool_calls")
+                    )
+                )

-                    async def stream_body() -> Any:
-                        yield (
-                            json.dumps({"type": "messages", "messages": chain}).encode(
-                                "utf-8"
-                            )
-                            + b"\n"
-                        )
-                        # Emit the full reasoning trace up front when the
-                        # underlying client did not stream it
-                        if final_reasoning:
+                pending_tool_calls = response.get("tool_calls")
+                if not pending_tool_calls:
+                    logger.debug(
+                        f"Chat completion finished with final answer (iterations: {tool_iterations})"
+                    )
+                    final_content = response.get("content") or ""
+
+                    if body.stream:
+                        final_reasoning = response.get("reasoning")
+
+                        chain = list(conversation)
+
+                        async def stream_body() -> Any:
                            yield (
                                json.dumps(
-                                    {"type": "reasoning", "delta": final_reasoning}
+                                    {"type": "messages", "messages": chain}
                                ).encode("utf-8")
                                + b"\n"
                            )
-                        # Stream content in word-sized chunks for smooth UX
-                        for part in chunk_content(final_content):
-                            yield (
-                                json.dumps({"type": "content", "delta": part}).encode(
-                                    "utf-8"
+                            # Emit the full reasoning trace up front when the
+                            # underlying client did not stream it
+                            if final_reasoning:
+                                yield (
+                                    json.dumps(
+                                        {"type": "reasoning", "delta": final_reasoning}
+                                    ).encode("utf-8")
+                                    + b"\n"
                                )
-                                + b"\n"
-                            )
-                        yield json.dumps({"type": "done"}).encode("utf-8") + b"\n"
+                            # Stream content in word-sized chunks for smooth UX
+                            for part in chunk_content(final_content):
+                                yield (
+                                    json.dumps(
+                                        {"type": "content", "delta": part}
+                                    ).encode("utf-8")
+                                    + b"\n"
+                                )
+                            yield json.dumps({"type": "done"}).encode("utf-8") + b"\n"

-                    return StreamingResponse(
-                        stream_body(),
-                        media_type="application/x-ndjson",
+                        return StreamingResponse(
+                            stream_body(),
+                            media_type="application/x-ndjson",
+                        )
+
+                    return JSONResponse(
+                        content=ChatCompletionResponse(
+                            message=ChatMessageResponse(
+                                role="assistant",
+                                content=final_content,
+                                reasoning=response.get("reasoning"),
+                                tool_calls=None,
+                            ),
+                            finish_reason=response.get("finish_reason", "stop"),
+                            tool_iterations=tool_iterations,
+                            tool_calls=tool_calls,
+                            messages=list(conversation),
+                        ).model_dump(),
                    )

+                tool_iterations += 1
+                logger.debug(
+                    f"Tool calls detected (iteration {tool_iterations}/{max_iterations}): "
+                    f"{len(pending_tool_calls)} tool(s) to execute"
+                )
+
+            awaiting = _tool_calls_awaiting_approval(
+                pending_tool_calls, body, write_tools
+            )
+            if awaiting:
+                # Pause before running write tools; the client resends the
+                # returned chain with its decisions to continue.
                return JSONResponse(
                    content=ChatCompletionResponse(
                        message=ChatMessageResponse(
                            role="assistant",
-                            content=final_content,
-                            reasoning=response.get("reasoning"),
-                            tool_calls=None,
+                            content=None,
+                            tool_calls=[ToolCallInvocation(**tc) for tc in awaiting],
                        ),
-                        finish_reason=response.get("finish_reason", "stop"),
+                        finish_reason="approval_required",
                        tool_iterations=tool_iterations,
                        tool_calls=tool_calls,
                        messages=list(conversation),
                    ).model_dump(),
                )

-            tool_iterations += 1
-            logger.debug(
-                f"Tool calls detected (iteration {tool_iterations}/{max_iterations}): "
-                f"{len(pending_tool_calls)} tool(s) to execute"
-            )
            executed_calls, tool_results, extra_msgs = await _execute_pending_tools(
-                pending_tool_calls, request, allowed_cameras
+                pending_tool_calls,
+                request,
+                allowed_cameras,
+                decisions=body.tool_decisions,
            )
            tool_calls.extend(executed_calls)
            conversation.extend(tool_results)
            conversation.extend(extra_msgs)
+            pending_tool_calls = None
            logger.debug(
                f"Added {len(tool_results)} tool result(s) to conversation. "
                f"Continuing with next LLM call..."
@@ -44,6 +44,11 @@ def chunk_content(content: str, chunk_size: int = 80) -> Generator[str, None, No
        yield " ".join(current)


+def format_local_time(timestamp: float) -> str:
+    """Format a unix timestamp as the server-local string quoted to users."""
+    return datetime.fromtimestamp(timestamp).strftime("%Y-%m-%d %I:%M:%S %p")
+
+
 def format_events_with_local_time(
    events_list: list[dict[str, Any]],
 ) -> list[dict[str, Any]]:
@@ -58,11 +63,9 @@ def format_events_with_local_time(
            start_ts = evt.get("start_time")
            end_ts = evt.get("end_time")
            if start_ts is not None:
-                dt_start = datetime.fromtimestamp(start_ts)
-                copy_evt["start_time_local"] = dt_start.strftime("%Y-%m-%d %I:%M:%S %p")
+                copy_evt["start_time_local"] = format_local_time(start_ts)
            if end_ts is not None:
-                dt_end = datetime.fromtimestamp(end_ts)
-                copy_evt["end_time_local"] = dt_end.strftime("%Y-%m-%d %I:%M:%S %p")
+                copy_evt["end_time_local"] = format_local_time(end_ts)
        except (TypeError, ValueError, OSError):
            pass
        result.append(copy_evt)
@@ -14,7 +14,7 @@ from fastapi.responses import JSONResponse
 from peewee import DoesNotExist
 from playhouse.shortcuts import model_to_dict

-from frigate.api.auth import require_role
+from frigate.api.auth import require_full_camera_access, require_role
 from frigate.api.defs.request.classification_body import (
    AudioTranscriptionBody,
    DeleteFaceImagesBody,
@@ -741,6 +741,7 @@ def get_classification_dataset(name: str):

@router.get(
    "/classification/attributes",
+    dependencies=[Depends(require_full_camera_access)],
    summary="Get custom classification attributes",
    description="""Returns custom classification attributes for a given object type.
    Only includes models with classification_type set to 'attribute'.
@@ -1,5 +1,7 @@
 from pydantic import BaseModel, Field, model_validator

+from frigate.record.export import ExportStreamEnum
+
 MAX_BATCH_EXPORT_ITEMS = 50


@@ -53,6 +55,16 @@ class BatchExportBody(BaseModel):
        title="New case description",
        description="Optional description for a newly created export case",
    )
+    stream: ExportStreamEnum = Field(
+        default=ExportStreamEnum.auto,
+        title="Recorded stream to export",
+        description=(
+            "Which recorded stream every item in the batch is exported "
+            "from. 'auto' uses the merged timeline, preferring the main "
+            "stream and falling back to the sub stream where main has "
+            "aged out. 'main' or 'sub' pins the exports to that stream."
+        ),
+    )

    @model_validator(mode="after")
    def validate_case_target(self) -> "BatchExportBody":
@@ -1,6 +1,6 @@
 """Chat API request models."""

-from typing import Any
+from typing import Any, Literal

 from pydantic import BaseModel, Field

@@ -59,3 +59,12 @@ class ChatCompletionRequest(BaseModel):
            "Ignored by providers that do not expose a per-request thinking switch."
        ),
    )
+    tool_decisions: dict[str, Literal["approve", "reject"]] = Field(
+        default_factory=dict,
+        description=(
+            "Decisions for tool calls that paused for approval, keyed by tool "
+            "call ID. Send these with the conversation chain returned alongside "
+            "an approval request; rejected calls are reported to the model as "
+            "declined instead of being executed."
+        ),
+    )
@@ -3,6 +3,7 @@ from pydantic.json_schema import SkipJsonSchema

 from frigate.record.export import (
    ChaptersEnum,
+    ExportStreamEnum,
    PlaybackSourceEnum,
 )

@@ -27,6 +28,16 @@ class ExportRecordingsBody(BaseModel):
            "the camera's configured export chapter mode is used."
        ),
    )
+    stream: ExportStreamEnum = Field(
+        default=ExportStreamEnum.auto,
+        title="Recorded stream to export",
+        description=(
+            "Which recorded stream to export. 'auto' uses the merged "
+            "timeline, preferring the main stream and falling back to the "
+            "sub stream where main has aged out. 'main' or 'sub' pins the "
+            "export to that stream alone."
+        ),
+    )


 class ExportRecordingsCustomBody(BaseModel):
@@ -8,10 +8,12 @@ class Tags(Enum):
    chat = "Chat"
    events = "Events"
    export = "Export"
+    hardware = "Hardware"
    classification = "Classification"
    logs = "Logs"
    media = "Media"
    motion_search = "Motion Search"
+    notices = "Notices"
    notifications = "Notifications"
    preview = "Preview"
    recordings = "Recordings"
@@ -386,7 +386,9 @@ def events_explore(
    limit: int = 10,
    allowed_cameras: list[str] = Depends(get_allowed_cameras_for_filter),
 ):
-    # get distinct labels for all events
+    if not allowed_cameras:
+        return JSONResponse(content=[])
+
    distinct_labels = (
        Event.select(Event.label)
        .where(Event.camera << allowed_cameras)
@@ -396,13 +398,31 @@ def events_explore(

    label_counts = {}

+    explore_columns = (
+        Event.id,
+        Event.camera,
+        Event.label,
+        Event.sub_label,
+        Event.zones,
+        Event.start_time,
+        Event.end_time,
+        Event.has_clip,
+        Event.has_snapshot,
+        Event.plus_id,
+        Event.retain_indefinitely,
+        Event.top_score,
+        Event.false_positive,
+        Event.box,
+        Event.data,
+    )
+
    def event_generator():
        for label_obj in distinct_labels.iterator():
            label = label_obj.label

            # get most recent events for this label
            label_events = (
-                Event.select()
+                Event.select(*explore_columns)
                .where((Event.label == label) & (Event.camera << allowed_cameras))
                .order_by(Event.start_time.desc())
                .limit(limit)
@@ -484,22 +504,18 @@ async def event_ids(ids: str, request: Request):
            status_code=400,
        )

-    for event_id in ids:
-        try:
-            event = Event.get(Event.id == event_id)
-            await require_camera_access(event.camera, request=request)
-        except DoesNotExist:
-            # we should not fail the entire request if an event is not found
-            continue
-
    try:
-        events = Event.select().where(Event.id << ids).dicts().iterator()
-        return JSONResponse(list(events))
+        events = list(Event.select().where(Event.id << ids).dicts().iterator())
    except Exception:
        return JSONResponse(
            content=({"success": False, "message": "Events not found"}), status_code=400
        )

+    for event in events:
+        await require_camera_access(event["camera"], request=request)
+
+    return JSONResponse(events)
+

@router.get(
    "/events/search",
@@ -1313,7 +1329,7 @@ async def set_sub_label(
    if request.app.detected_frames_processor:
        tracked_obj: TrackedObject = None

-        for state in request.app.detected_frames_processor.camera_states.values():
+        for state in request.app.detected_frames_processor.get_camera_states():
            tracked_obj = state.tracked_objects.get(event_id)

            if tracked_obj is not None:
@@ -1372,7 +1388,7 @@ async def set_plate(
    if request.app.detected_frames_processor:
        tracked_obj: TrackedObject = None

-        for state in request.app.detected_frames_processor.camera_states.values():
+        for state in request.app.detected_frames_processor.get_camera_states():
            tracked_obj = state.tracked_objects.get(event_id)

            if tracked_obj is not None:
@@ -1,7 +1,9 @@
 """Export apis."""

+import contextlib
 import datetime
 import logging
+import os
 import random
 import string
 import time
@@ -9,12 +11,13 @@ import zipfile
 from collections import deque
 from collections.abc import Iterator
 from pathlib import Path
+from urllib.parse import quote

 import psutil
 from fastapi import APIRouter, Depends, Query, Request
 from fastapi.responses import JSONResponse, StreamingResponse
 from pathvalidate import sanitize_filename
-from peewee import DoesNotExist
+from peewee import DatabaseError, DoesNotExist, IntegrityError
 from playhouse.shortcuts import model_to_dict

 from frigate.api.auth import (
@@ -69,7 +72,9 @@ from frigate.models import Export, ExportCase, Previews, Recordings
 from frigate.record.export import (
    DEFAULT_TIME_LAPSE_FFMPEG_ARGS,
    ChaptersEnum,
+    ExportStreamEnum,
    PlaybackSourceEnum,
+    export_video_path,
    validate_ffmpeg_args,
 )
 from frigate.util.path import sanitize_contained_path
@@ -144,16 +149,23 @@ def _sanitize_existing_image(
    return existing_image, None


+def _no_recordings_message(stream: ExportStreamEnum) -> str:
+    if stream == ExportStreamEnum.auto:
+        return "No recordings found for time range"
+
+    return f"No {stream.value} stream recordings found for time range"
+
+
 def _validate_export_source(
    camera_name: str,
    start_time: float,
    end_time: float,
    playback_source: PlaybackSourceEnum,
+    stream: ExportStreamEnum = ExportStreamEnum.auto,
 ) -> str | None:
    if playback_source == PlaybackSourceEnum.recordings:
-        recordings_count = (
-            Recordings.select()
-            .where(
+        query = Recordings.select().where(
+            (
                Recordings.start_time.between(start_time, end_time)
                | Recordings.end_time.between(start_time, end_time)
                | (
@@ -161,12 +173,16 @@ def _validate_export_source(
                    & (end_time < Recordings.end_time)
                )
            )
-            .where(Recordings.camera == camera_name)
-            .count()
+            & (Recordings.camera == camera_name)
        )

-        if recordings_count <= 0:
-            return "No recordings found for time range"
+        # a pinned export reads only that stream, so the other stream's
+        # coverage must not make the range look exportable
+        if stream != ExportStreamEnum.auto:
+            query = query.where(Recordings.stream_type == stream.value)
+
+        if query.count() <= 0:
+            return _no_recordings_message(stream)

        return None

@@ -190,6 +206,7 @@ def _validate_export_source(
 def _get_item_recording_export_errors(
    request: Request,
    items: list[BatchExportItem],
+    stream: ExportStreamEnum = ExportStreamEnum.auto,
 ) -> dict[int, str]:
    """Return {item_index: error message} for items with invalid state.

@@ -219,20 +236,20 @@ def _get_item_recording_export_errors(
        min_start = min(r[1] for r in indexed_ranges)
        max_end = max(r[2] for r in indexed_ranges)

-        recording_ranges = list(
-            Recordings.select(Recordings.start_time, Recordings.end_time)
-            .where(
-                Recordings.camera == camera_name,
-                Recordings.start_time.between(min_start, max_end)
-                | Recordings.end_time.between(min_start, max_end)
-                | (
-                    (min_start > Recordings.start_time)
-                    & (max_end < Recordings.end_time)
-                ),
-            )
-            .iterator()
+        query = Recordings.select(Recordings.start_time, Recordings.end_time).where(
+            Recordings.camera == camera_name,
+            Recordings.start_time.between(min_start, max_end)
+            | Recordings.end_time.between(min_start, max_end)
+            | ((min_start > Recordings.start_time) & (max_end < Recordings.end_time)),
        )

+        # a pinned batch reads only that stream, so the other stream's
+        # coverage must not make an item look exportable
+        if stream != ExportStreamEnum.auto:
+            query = query.where(Recordings.stream_type == stream.value)
+
+        recording_ranges = list(query.iterator())
+
        for index, start_time, end_time in indexed_ranges:
            has_recording = any(
                (
@@ -243,7 +260,7 @@ def _get_item_recording_export_errors(
                for rec in recording_ranges
            )
            if not has_recording:
-                errors[index] = "No recordings found for time range"
+                errors[index] = _no_recordings_message(stream)

    return errors

@@ -260,6 +277,7 @@ def _build_export_job(
    ffmpeg_output_args: str | None = None,
    cpu_fallback: bool = False,
    chapters: ChaptersEnum | None = None,
+    stream: ExportStreamEnum = ExportStreamEnum.auto,
 ) -> ExportJob:
    return ExportJob(
        id=_generate_export_id(camera_name),
@@ -274,6 +292,7 @@ def _build_export_job(
        ffmpeg_output_args=ffmpeg_output_args,
        cpu_fallback=cpu_fallback,
        chapters=chapters,
+        stream=stream,
    )


@@ -403,14 +422,17 @@ class _StreamingZipBuffer:


 def _unique_archive_name(export: Export, used: set[str]) -> str:
-    base = sanitize_filename(export.name) if export.name else None
-    if not base:
-        base = f"{export.camera}_{int(export.date)}"
+    """Zip entry name for an export, de-duplicated within the archive.
+
+    The on-disk name is the one the user sees either way: renaming an export
+    renames its file, so a zip entry and an individual download can't drift.
+    """
+    source = Path(export.video_path)
+    candidate = source.name

-    candidate = f"{base}.mp4"
    counter = 1
    while candidate in used:
-        candidate = f"{base}_{counter}.mp4"
+        candidate = f"{source.stem}_{counter}{source.suffix}"
        counter += 1

    used.add(candidate)
@@ -453,6 +475,22 @@ def _stream_case_archive(exports: list[Export]) -> Iterator[bytes]:
    yield from buffer.drain()


+def _content_disposition(filename: str, ascii_fallback: str) -> str:
+    """Build an attachment Content-Disposition that survives non-ASCII names.
+
+    Header values are encoded as latin-1, so a name outside that range cannot
+    go in filename at all. RFC 6266 handles this with a pair: a plain ASCII
+    filename for old clients, plus a percent-encoded UTF-8 filename* that
+    every current browser prefers.
+    """
+    ascii_name = filename if filename.isascii() else ascii_fallback
+
+    return (
+        f'attachment; filename="{ascii_name}"; '
+        f"filename*=UTF-8''{quote(filename, safe='')}"
+    )
+
+
@router.get(
    "/cases/{case_id}/download",
    dependencies=[Depends(allow_any_authenticated())],
@@ -495,7 +533,9 @@ def download_export_case(
        _stream_case_archive(exports),
        media_type="application/zip",
        headers={
-            "Content-Disposition": f'attachment; filename="{archive_base}.zip"',
+            "Content-Disposition": _content_disposition(
+                f"{archive_base}.zip", f"{case_id}.zip"
+            ),
        },
    )

@@ -666,7 +706,7 @@ def export_recordings_batch(
            return image_validation_error
        sanitized_images.append(existing_image)

-    item_errors = _get_item_recording_export_errors(request, body.items)
+    item_errors = _get_item_recording_export_errors(request, body.items, body.stream)

    queueable_indexes = [
        index for index in range(len(body.items)) if index not in item_errors
@@ -735,6 +775,7 @@ def export_recordings_batch(
            chapters=request.app.frigate_config.cameras[
                item.camera
            ].record.export.chapters,
+            stream=body.stream,
        )
        try:
            start_export_job(request.app.frigate_config, export_job)
@@ -842,6 +883,7 @@ def export_recording(
        start_time,
        end_time,
        playback_source,
+        body.stream,
    )
    if source_error is not None:
        return JSONResponse(
@@ -858,6 +900,7 @@ def export_recording(
        playback_source,
        export_case_id,
        chapters=chapters,
+        stream=body.stream,
    )
    try:
        start_export_job(request.app.frigate_config, export_job)
@@ -908,8 +951,59 @@ async def export_rename(event_id: str, body: ExportRenameBody, request: Request)
            status_code=404,
        )

+    if export.in_progress:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "Export is still being written and can't be renamed yet.",
+            },
+            status_code=400,
+        )
+
+    new_path = export_video_path(body.name, export.id)
+    old_path = export.video_path
+    moved = new_path != old_path
+
+    # move the file first so a rename that can't happen leaves the row alone
+    if moved:
+        try:
+            os.rename(old_path, new_path)
+        except OSError:
+            logger.exception("Failed to rename export file for %s", event_id)
+            return JSONResponse(
+                content={"success": False, "message": "Failed to rename export."},
+                status_code=500,
+            )
+
    export.name = body.name
-    export.save()
+    export.video_path = new_path
+
+    try:
+        export.save()
+    except DatabaseError as err:
+        # the queue database has no transactions, so undo the move by hand
+        if moved:
+            with contextlib.suppress(OSError):
+                os.rename(new_path, old_path)
+
+        if isinstance(err, IntegrityError):
+            logger.warning(
+                "Export %s cannot be renamed, %s is taken", event_id, new_path
+            )
+            return JSONResponse(
+                content={
+                    "success": False,
+                    "message": "Another export already uses that name.",
+                },
+                status_code=409,
+            )
+
+        logger.exception("Failed to save renamed export %s", event_id)
+        return JSONResponse(
+            content={"success": False, "message": "Failed to rename export."},
+            status_code=500,
+        )
+
    return JSONResponse(
        content=(
            {
@@ -21,8 +21,10 @@ from frigate.api import (
    debug_replay,
    event,
    export,
+    hardware,
    media,
    motion_search,
+    notices,
    notification,
    preview,
    record,
@@ -40,6 +42,7 @@ from frigate.config.profile_manager import ProfileManager
 from frigate.debug_replay import DebugReplayManager, debug_replay_auto_stop_watchdog
 from frigate.embeddings import EmbeddingsContext
 from frigate.genai import GenAIClientManager
+from frigate.notices.registry import NoticeRegistry
 from frigate.ptz.onvif import OnvifController
 from frigate.stats.emitter import StatsEmitter
 from frigate.storage import StorageMaintainer
@@ -76,6 +79,7 @@ def create_fastapi_app(
    profile_manager: ProfileManager | None = None,
    enforce_default_admin: bool = True,
    config_holder: ConfigHolder | None = None,
+    notice_registry: NoticeRegistry | None = None,
 ):
    logger.info("Starting FastAPI app")
    app = FastAPI(
@@ -145,6 +149,8 @@ def create_fastapi_app(
    app.include_router(preview.router)
    app.include_router(notification.router)
    app.include_router(export.router)
+    app.include_router(hardware.router)
+    app.include_router(notices.router)
    app.include_router(event.router)
    app.include_router(media.router)
    app.include_router(motion_search.router)
@@ -161,6 +167,7 @@ def create_fastapi_app(
    app.camera_error_image = None
    app.onvif = onvif
    app.stats_emitter = stats_emitter
+    app.notice_registry = notice_registry
    app.event_metadata_updater = event_metadata_updater
    app.config_publisher = config_publisher
    app.replay_manager = replay_manager
@@ -0,0 +1,57 @@
+"""Hardware discovery APIs."""
+
+import logging
+
+from fastapi import APIRouter, Depends
+
+from frigate.api.auth import require_role
+from frigate.api.defs.tags import Tags
+from frigate.detectors.hardware import DetectionHardware, hardware_prober
+from frigate.util.hwaccel import HwaccelRecommendation, hwaccel_options
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(tags=[Tags.hardware])
+
+
+@router.get(
+    "/hardware/probe",
+    response_model=list[DetectionHardware],
+    dependencies=[Depends(require_role(["admin"]))],
+)
+def probe_hardware(refresh: bool = False) -> list[DetectionHardware]:
+    """Get the object detection hardware attached to this system.
+
+    Args:
+        refresh: Probe again instead of returning the cached result
+
+    Returns:
+        Every kind of detection hardware that was found
+    """
+    return hardware_prober.probe(refresh=refresh)
+
+
+@router.get(
+    "/hardware/hwaccel",
+    response_model=HwaccelRecommendation,
+    dependencies=[Depends(require_role(["admin"]))],
+)
+def hwaccel_recommendation(
+    detector: str | None = None, codecs: str | None = None
+) -> HwaccelRecommendation:
+    """Get the hardware decoding this system can do.
+
+    Args:
+        detector: Hardware key of the detection hardware in use, which biases
+            the recommendation toward that hardware's GPU
+        codecs: Comma separated codecs of the streams that will be decoded,
+            used to drop families that cannot decode one of them
+
+    Returns:
+        The recommended family (empty when none fits) and every usable family
+    """
+    wanted = {
+        codec.strip().lower() for codec in (codecs or "").split(",") if codec.strip()
+    }
+    recommended, available = hwaccel_options(detector, wanted)
+    return HwaccelRecommendation(recommended=recommended, available=available)
@@ -6,10 +6,13 @@ import logging
 import math
 import os
 import subprocess as sp
+import tempfile
 import time
+from collections.abc import Iterator
 from datetime import UTC, datetime, timedelta
+from enum import Enum
 from pathlib import Path as FilePath
-from typing import Any
+from typing import IO, Any
 from urllib.parse import unquote

 import cv2
@@ -39,12 +42,14 @@ from frigate.config.camera.snapshots import SnapshotsConfig
 from frigate.const import (
    CACHE_DIR,
    INSTALL_DIR,
-    MAX_SEGMENT_DURATION,
    PREVIEW_FRAME_TYPE,
+    STREAM_TYPE_MAIN,
+    STREAM_TYPE_SUB,
 )
 from frigate.models import Event, Previews, Recordings, Regions, ReviewSegment
 from frigate.output.preview import get_most_recent_preview_frame
 from frigate.track.object_processing import TrackedObjectProcessor
+from frigate.util.ffmpeg import terminate_ffmpeg_stream
 from frigate.util.file import (
    get_event_snapshot_bytes,
    get_event_snapshot_path,
@@ -52,12 +57,40 @@ from frigate.util.file import (
    load_event_snapshot_image,
 )
 from frigate.util.image import get_image_from_recording, get_image_quality_params
-from frigate.util.media import get_keyframe_before
 from frigate.util.object import create_empty_regions_grid
+from frigate.util.recording_coverage import (
+    build_spans,
+    null_audio_glitches,
+    plan_clip,
+    resolve_coverage,
+    stream_has_audio,
+)

 logger = logging.getLogger(__name__)


+# must match the patched MAX_CLIPS in docker/main/build_nginx.sh; a
+# normal hour needs ~360, one clip per recording file
+NGINX_VOD_MAX_CLIPS = 1080
+
+# tail of ffmpeg's stderr kept for the clip download failure log
+CLIP_STDERR_LOG_BYTES = 8192
+
+# how long a drained clip download waits for ffmpeg to exit on its own
+CLIP_FFMPEG_EXIT_TIMEOUT = 10
+
+
+class VodStreamPreference(str, Enum):
+    """Stream pin for the path-segment VOD route.
+
+    nginx-vod derives its mapping fetch URI from the playlist URL path
+    (query params are dropped), so the preference must be a path segment.
+    """
+
+    main = STREAM_TYPE_MAIN
+    sub = STREAM_TYPE_SUB
+
+
 router = APIRouter(tags=[Tags.media])


@@ -319,7 +352,7 @@ async def get_snapshot_from_recording(
                & (frame_time <= Recordings.end_time)
            )
            .where(Recordings.camera == camera_name)
-            .order_by(Recordings.start_time.desc())
+            .order_by(Recordings.stream_type.asc(), Recordings.start_time.desc())
            .limit(1)
            .get()
        )
@@ -338,7 +371,7 @@ async def get_snapshot_from_recording(
                    & (frame_time <= Recordings.end_time)
                )
                .where(Recordings.camera == camera_name)
-                .order_by(Recordings.start_time.desc())
+                .order_by(Recordings.stream_type.asc(), Recordings.start_time.desc())
                .limit(1)
                .get()
            )
@@ -398,7 +431,7 @@ async def submit_recording_snapshot_to_plus(
            (frame_time >= Recordings.start_time) & (frame_time <= Recordings.end_time)
        )
        .where(Recordings.camera == camera_name)
-        .order_by(Recordings.start_time.desc())
+        .order_by(Recordings.stream_type.asc(), Recordings.start_time.desc())
        .limit(1)
    )

@@ -441,6 +474,53 @@ async def submit_recording_snapshot_to_plus(
        )


+def _read_stderr_tail(stderr_file: IO[bytes]) -> str:
+    """Read back the last CLIP_STDERR_LOG_BYTES of a captured stderr file."""
+    stderr_file.seek(0, os.SEEK_END)
+    stderr_file.seek(max(0, stderr_file.tell() - CLIP_STDERR_LOG_BYTES))
+    return stderr_file.read().decode("utf-8", "replace")
+
+
+def _run_clip_download(ffmpeg_cmd: list[str], file_path: str) -> Iterator[bytes]:
+    """Stream an ffmpeg concat remux to the client, always cleaning up after it."""
+    stderr_file = None
+    ffmpeg = None
+
+    try:
+        stderr_file = tempfile.TemporaryFile()
+        ffmpeg = sp.Popen(ffmpeg_cmd, stdout=sp.PIPE, stderr=stderr_file)
+
+        while True:
+            data = ffmpeg.stdout.read(8192)
+
+            if not data:
+                break
+
+            yield data
+
+        try:
+            # wait rather than signal, so the real exit code survives
+            ffmpeg.wait(timeout=CLIP_FFMPEG_EXIT_TIMEOUT)
+        except sp.TimeoutExpired:
+            pass
+    finally:
+        if ffmpeg is not None:
+            # read before terminating: a None here is our teardown, not a failure
+            exit_code = ffmpeg.poll()
+            terminate_ffmpeg_stream(ffmpeg)
+
+            if exit_code:
+                logger.error(
+                    "Failed to generate clip, ffmpeg logs: %s",
+                    _read_stderr_tail(stderr_file),
+                )
+
+        if stderr_file is not None:
+            stderr_file.close()
+
+        FilePath(file_path).unlink(missing_ok=True)
+
+
@router.get(
    "/{camera_name}/start/{start_ts}/end/{end_ts}/clip.mp4",
    dependencies=[Depends(require_camera_access)],
@@ -452,40 +532,29 @@ async def recording_clip(
    start_ts: float,
    end_ts: float,
 ):
-    def run_download(ffmpeg_cmd: list[str], file_path: str):
-        with sp.Popen(
-            ffmpeg_cmd,
-            stderr=sp.PIPE,
-            stdout=sp.PIPE,
-            text=False,
-        ) as ffmpeg:
-            while True:
-                data = ffmpeg.stdout.read(8192)
-                if data is not None and len(data) > 0:
-                    yield data
-                else:
-                    if ffmpeg.returncode and ffmpeg.returncode != 0:
-                        logger.error(
-                            f"Failed to generate clip, ffmpeg logs: {ffmpeg.stderr.read()}"
-                        )
-                    else:
-                        FilePath(file_path).unlink(missing_ok=True)
-                    break
+    def get_clip_query(stream_type: str):
+        return (
+            Recordings.select(
+                Recordings.path,
+                Recordings.start_time,
+                Recordings.end_time,
+            )
+            .where(
+                (Recordings.start_time.between(start_ts, end_ts))
+                | (Recordings.end_time.between(start_ts, end_ts))
+                | ((start_ts > Recordings.start_time) & (end_ts < Recordings.end_time))
+            )
+            .where(Recordings.camera == camera_name)
+            .where(Recordings.stream_type == stream_type)
+            .order_by(Recordings.start_time.asc())
+        )

-    recordings = (
-        Recordings.select(
-            Recordings.path,
-            Recordings.start_time,
-            Recordings.end_time,
-        )
-        .where(
-            (Recordings.start_time.between(start_ts, end_ts))
-            | (Recordings.end_time.between(start_ts, end_ts))
-            | ((start_ts > Recordings.start_time) & (end_ts < Recordings.end_time))
-        )
-        .where(Recordings.camera == camera_name)
-        .order_by(Recordings.start_time.asc())
-    )
+    # never mix streams in one concat; use main when available and
+    # fall back to sub for expired-main history
+    recordings = get_clip_query(STREAM_TYPE_MAIN)
+
+    if recordings.count() == 0:
+        recordings = get_clip_query(STREAM_TYPE_SUB)

    if recordings.count() == 0:
        return JSONResponse(
@@ -496,7 +565,9 @@ async def recording_clip(
            status_code=400,
        )

-    file_name = sanitize_filename(f"playlist_{camera_name}_{start_ts}-{end_ts}.txt")
+    file_name = sanitize_filename(
+        f"playlist_{camera_name}_{start_ts}-{end_ts}_{os.urandom(4).hex()}.txt"
+    )
    file_path = os.path.join(CACHE_DIR, file_name)
    with open(file_path, "w") as file:
        clip: Recordings
@@ -544,22 +615,65 @@ async def recording_clip(
    ]

    return StreamingResponse(
-        run_download(ffmpeg_cmd, file_path),
+        _run_clip_download(ffmpeg_cmd, file_path),
        media_type="video/mp4",
    )


-@router.get(
-    "/vod/{camera_name}/start/{start_ts}/end/{end_ts}",
-    dependencies=[Depends(require_camera_access)],
-    description="Returns an HLS playlist for the specified timestamp-range on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.",
-)
-async def vod_ts(
+def _build_vod_clip(
+    row: Any, start: float, end: float
+) -> tuple[dict[str, Any], int] | None:
+    """Build one nginx-vod clip dict + duration (ms) for a recording row trimmed to [start, end).
+
+    Realization comes entirely from the shared plan_clip, so the coverage
+    endpoint's realized timelines match this manifest by construction.
+    """
+    plan = plan_clip(row, start, end)
+
+    if plan.skipped:
+        return None
+
+    clip: dict[str, Any] = {"type": "source", "path": row.path}
+    if plan.clip_from_ms is not None:
+        clip["clipFrom"] = plan.clip_from_ms
+    if plan.key_frame_durations is not None:
+        # real gaps enable keyframe-aligned sub-file segments (bootstrap
+        # ladder); the whole-clip fallback keeps one segment per file,
+        # the only safe cut without an index
+        if plan.first_key_frame_offset_ms > 0:
+            clip["firstKeyFrameOffset"] = plan.first_key_frame_offset_ms
+        clip["keyFrameDurations"] = plan.key_frame_durations
+    else:
+        clip["keyFrameDurations"] = [plan.duration_ms]
+    logger.debug(
+        "VOD: added clip %s duration_ms=%s clipFrom=%s",
+        row.path,
+        plan.duration_ms,
+        clip.get("clipFrom"),
+    )
+    return clip, plan.duration_ms
+
+
+async def _vod_response(
    camera_name: str,
    start_ts: float,
    end_ts: float,
    force_discontinuity: bool = False,
-):
+    stream_preference: str | None = None,
+) -> JSONResponse:
+    """Build an nginx-vod mapping JSON for a camera over a timestamp range.
+
+    Always a single-sequence mapping; quality selection happens in the
+    frontend by choosing between this route and the stream-pinned routes.
+
+    Args:
+        camera_name: The camera to build the mapping for
+        start_ts: Range start as a unix timestamp
+        end_ts: Range end as a unix timestamp
+        force_discontinuity: Emit HLS discontinuity markers between clips
+        stream_preference: Pin the manifest to one stream type ("main" or
+            "sub"), serving only that stream's recordings
+    """
    logger.debug(
        "VOD: Generating VOD for %s from %s to %s with force_discontinuity=%s",
        camera_name,
@@ -567,104 +681,85 @@ async def vod_ts(
        end_ts,
        force_discontinuity,
    )
-    recordings = (
-        Recordings.select(
-            Recordings.path,
-            Recordings.duration,
-            Recordings.end_time,
-            Recordings.start_time,
-        )
-        .where(
-            Recordings.start_time.between(start_ts, end_ts)
-            | Recordings.end_time.between(start_ts, end_ts)
-            | ((start_ts > Recordings.start_time) & (end_ts < Recordings.end_time))
-        )
-        .where(Recordings.camera == camera_name)
-        .order_by(Recordings.start_time.asc())
-        .iterator()
+    intervals = resolve_coverage(camera_name, start_ts, end_ts)
+
+    # rows contradicting their stream's audio composition are
+    # truncated-shutdown glitches
+    main_audio = stream_has_audio(intervals, main=True)
+    sub_audio = stream_has_audio(intervals, main=False)
+
+    spans = build_spans(
+        null_audio_glitches(intervals, main_audio, sub_audio),
+        stream_preference,
    )

-    clips = []
-    durations = []
-    min_duration_ms = 100  # Minimum 100ms to ensure at least one video frame
-    max_duration_ms = MAX_SEGMENT_DURATION * 1000
-
-    recording: Recordings
-    for recording in recordings:
+    durations: list[int] = []
+    clips: list[dict[str, Any]] = []
+    # gathered after glitch-nulling and span building, so the policy
+    # decisions below reflect the manifest's real contents
+    video_codecs: set[str] = set()
+    audio_presence: set[bool] = set()
+    audio_params: set[tuple[str | None, int | None]] = set()
+    span_streams: set[bool] = set()
+    for row, span_start, span_end, span_is_main in spans:
        logger.debug(
            "VOD: processing recording: %s start=%s end=%s duration=%s",
-            recording.path,
-            recording.start_time,
-            recording.end_time,
-            recording.duration,
+            row.path,
+            row.start_time,
+            row.end_time,
+            row.duration,
        )
+        built = _build_vod_clip(row, span_start, span_end)

-        clip = {"type": "source", "path": recording.path}
-        duration = int(recording.duration * 1000)
-
-        # adjust start offset if start_ts is after recording.start_time
-        if start_ts > recording.start_time:
-            inpoint = int((start_ts - recording.start_time) * 1000)
-            clip["clipFrom"] = inpoint
-            duration -= inpoint
-            logger.debug(
-                "VOD: applied clipFrom %sms to %s",
-                inpoint,
-                recording.path,
-            )
-
-        # adjust end if recording.end_time is after end_ts
-        if recording.end_time > end_ts:
-            duration -= int((recording.end_time - end_ts) * 1000)
-
-        # nginx-vod-module pushes clipFrom forward to the next keyframe,
-        # which can leave too few frames and produce an empty/unplayable
-        # segment. Snap clipFrom back to the preceding keyframe so the
-        # segment always starts with a decodable frame.
-        if "clipFrom" in clip:
-            keyframe_ms = get_keyframe_before(recording.path, clip["clipFrom"])
-            if keyframe_ms is not None:
-                gained = clip["clipFrom"] - keyframe_ms
-                clip["clipFrom"] = keyframe_ms
-                duration += gained
-                logger.debug(
-                    "VOD: snapped clipFrom to keyframe at %sms for %s, duration now %sms",
-                    keyframe_ms,
-                    recording.path,
-                    duration,
-                )
-            else:
-                # could not read keyframes, remove clipFrom to use full recording
-                logger.debug(
-                    "VOD: no keyframe info for %s, removing clipFrom to use full recording",
-                    recording.path,
-                )
-                del clip["clipFrom"]
-                duration = int(recording.duration * 1000)
-                if recording.end_time > end_ts:
-                    duration -= int((recording.end_time - end_ts) * 1000)
-
-        if duration < min_duration_ms:
-            # skip if the clip has no valid duration (too short to contain frames)
-            logger.debug(
-                "VOD: skipping recording %s - resulting duration %sms too short",
-                recording.path,
-                duration,
-            )
+        if built is None:
            continue

-        if min_duration_ms <= duration < max_duration_ms:
-            clip["keyFrameDurations"] = [duration]
-            clips.append(clip)
-            durations.append(duration)
-            logger.debug(
-                "VOD: added clip %s duration_ms=%s clipFrom=%s",
-                recording.path,
-                duration,
-                clip.get("clipFrom"),
-            )
-        else:
-            logger.warning(f"Recording clip is missing or empty: {recording.path}")
+        clips.append(built[0])
+        durations.append(built[1])
+        span_streams.add(span_is_main)
+        if row.video_codec is not None:
+            video_codecs.add(row.video_codec)
+        audio_presence.add(row.has_audio is not False)
+        # legacy rows contribute no signature, so uniformly-unknown
+        # history keeps the legacy shape
+        if row.has_audio is not False and (
+            row.audio_codec is not None or row.audio_rate is not None
+        ):
+            audio_params.add((row.audio_codec, row.audio_rate))
+
+    # nginx-vod requires a uniform track count per sequence, and adding or
+    # removing an audio track across an MSE discontinuity is unproven
+    if len(audio_presence) > 1:
+        logger.debug(
+            "VOD: %s mixes audio-bearing and audio-less recordings between "
+            "%s and %s; serving the range without audio",
+            camera_name,
+            start_ts,
+            end_ts,
+        )
+        for clip in clips:
+            clip["tracks"] = "v"
+
+    # discontinuity mode emits per-clip init segments, letting the decoder
+    # reconfigure at each boundary. Stream type counts as a signature of
+    # its own: the two encoders differ in SPS/PPS even when codec name and
+    # audio params match, and a single-init manifest then decode-fails on
+    # players that only configure from the init segment (iOS)
+    use_discontinuity = (
+        len(video_codecs) > 1 or len(audio_params) > 1 or len(span_streams) > 1
+    )
+    if use_discontinuity:
+        logger.debug(
+            "VOD: %s mixes media signatures between %s and %s (video codecs "
+            "%s, audio params %s, streams %s); serving a discontinuity "
+            "manifest with per-clip init segments",
+            camera_name,
+            start_ts,
+            end_ts,
+            sorted(video_codecs),
+            sorted(audio_params, key=str),
+            sorted(span_streams),
+        )

    if not clips:
        logger.error(
@@ -678,16 +773,50 @@ async def vod_ts(
            status_code=404,
        )

+    if len(clips) > NGINX_VOD_MAX_CLIPS:
+        logger.warning(
+            "VOD: %s needs %d clips between %s and %s, exceeding nginx's "
+            "limit of %d; playback of this range will fail. This usually "
+            "means the camera produced abnormally short recording segments "
+            "(check the stream's timestamps)",
+            camera_name,
+            len(clips),
+            start_ts,
+            end_ts,
+            NGINX_VOD_MAX_CLIPS,
+        )
+
+    # segmentation comes from the vod_* nginx directives plus per-clip
+    # keyFrameDurations; a segment_duration field here was always ignored
+    # (nginx-vod parses only camelCase segmentDuration)
    hour_ago = datetime.now() - timedelta(hours=1)
-    return JSONResponse(
-        content={
-            "cache": hour_ago.timestamp() > start_ts,
-            "discontinuity": force_discontinuity,
-            "consistentSequenceMediaInfo": True,
-            "durations": durations,
-            "segment_duration": max(durations),
-            "sequences": [{"clips": clips}],
-        }
+    content = {
+        "cache": hour_ago.timestamp() > start_ts,
+        "discontinuity": force_discontinuity or use_discontinuity,
+        "consistentSequenceMediaInfo": True,
+        "durations": durations,
+        "sequences": [{"clips": clips}],
+    }
+    if use_discontinuity:
+        # clip-indexed naming is what makes nginx-vod emit per-clip
+        # EXT-X-MAP outside of its live mode
+        content["initialClipIndex"] = 1
+    return JSONResponse(content=content)
+
+
+@router.get(
+    "/vod/{camera_name}/start/{start_ts}/end/{end_ts}",
+    dependencies=[Depends(require_camera_access)],
+    description="Returns an HLS playlist for the specified timestamp-range on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.",
+)
+async def vod_ts(
+    camera_name: str,
+    start_ts: float,
+    end_ts: float,
+    force_discontinuity: bool = False,
+):
+    return await _vod_response(
+        camera_name, start_ts, end_ts, force_discontinuity=force_discontinuity
    )


@@ -776,7 +905,43 @@ async def vod_clip(
    start_ts: float,
    end_ts: float,
 ):
-    return await vod_ts(camera_name, start_ts, end_ts, force_discontinuity=True)
+    # the tracking-details player corrects its timeline from
+    # sequences[0].clips[0].clipFrom
+    return await _vod_response(
+        camera_name,
+        start_ts,
+        end_ts,
+        force_discontinuity=True,
+    )
+
+
+# registered after /vod/clip/... on purpose: both routes are six path
+# segments, Starlette matches structurally in registration order, and the
+# enum validation on {stream} would otherwise 422 every /vod/clip request
+@router.get(
+    "/vod/{camera_name}/{stream}/start/{start_ts}/end/{end_ts}",
+    dependencies=[Depends(require_camera_access)],
+    description="Returns an HLS playlist pinned to one stream type (main or sub) for the specified timestamp-range on the specified camera. Append /master.m3u8 or /index.m3u8 for HLS playback.",
+)
+async def vod_ts_stream(
+    camera_name: str,
+    stream: VodStreamPreference,
+    start_ts: float,
+    end_ts: float,
+    force_discontinuity: bool = False,
+):
+    """VOD for a timestamp range pinned to one stream type.
+
+    How the frontend selects quality, now that mappings are always
+    single-sequence.
+    """
+    return await _vod_response(
+        camera_name,
+        start_ts,
+        end_ts,
+        force_discontinuity=force_discontinuity,
+        stream_preference=stream.value,
+    )


@router.get(
@@ -814,13 +979,13 @@ async def event_snapshot(
            timestamp_style=request.app.frigate_config.cameras[
                event.camera
            ].timestamp_style,
-            colormap=request.app.frigate_config.model.colormap,
+            colormap=request.app.frigate_config.model_for_camera(event.camera).colormap,
        )
    except DoesNotExist:
        # see if the object is currently being tracked
        try:
            camera_states: list[CameraState] = (
-                request.app.detected_frames_processor.camera_states.values()
+                request.app.detected_frames_processor.get_camera_states()
            )
            for camera_state in camera_states:
                if event_id in camera_state.tracked_objects:
@@ -895,10 +1060,10 @@ async def event_thumbnail(
    except DoesNotExist:
        thumbnail_bytes = None

-    if thumbnail_bytes is None:
+    if not thumbnail_bytes:
        # see if the object is currently being tracked
        try:
-            camera_states = request.app.detected_frames_processor.camera_states.values()
+            camera_states = request.app.detected_frames_processor.get_camera_states()
            for camera_state in camera_states:
                if event_id in camera_state.tracked_objects:
                    tracked_obj = camera_state.tracked_objects.get(event_id)
@@ -911,7 +1076,7 @@ async def event_thumbnail(
                status_code=404,
            )

-    if thumbnail_bytes is None:
+    if not thumbnail_bytes:
        return JSONResponse(
            content={"success": False, "message": "Event not found"},
            status_code=404,
@@ -920,6 +1085,13 @@ async def event_thumbnail(
    img_as_np = np.frombuffer(thumbnail_bytes, dtype=np.uint8)
    img = cv2.imdecode(img_as_np, flags=1)

+    if img is None:
+        # thumbnail on disk is truncated or corrupt
+        return JSONResponse(
+            content={"success": False, "message": "Event not found"},
+            status_code=404,
+        )
+
    # android notifications prefer a 2:1 ratio
    if format == "android":
        img = cv2.copyMakeBorder(
@@ -1127,7 +1299,7 @@ async def event_snapshot_clean(request: Request, event_id: str, download: bool =
            # see if the object is currently being tracked
            try:
                camera_states = (
-                    request.app.detected_frames_processor.camera_states.values()
+                    request.app.detected_frames_processor.get_camera_states()
                )
                for camera_state in camera_states:
                    if event_id in camera_state.tracked_objects:
@@ -0,0 +1,60 @@
+"""Notice APIs."""
+
+import logging
+
+from fastapi import APIRouter, Depends, Request
+from fastapi.responses import JSONResponse
+
+from frigate.api.auth import require_role
+from frigate.api.defs.tags import Tags
+from frigate.notices.registry import DismissResult
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter(tags=[Tags.notices])
+
+
+@router.get("/notices", dependencies=[Depends(require_role(["admin"]))])
+def get_notices(request: Request, include_dismissed: bool = False) -> JSONResponse:
+    """Get the active notices, most severe first.
+
+    Args:
+        include_dismissed: Also return event notices the user has dismissed
+
+    Returns:
+        The active notices
+    """
+    return JSONResponse(
+        content=request.app.notice_registry.active(include_dismissed=include_dismissed)
+    )
+
+
+@router.get("/notices/stats", dependencies=[Depends(require_role(["admin"]))])
+def get_notice_stats(request: Request) -> JSONResponse:
+    """Get lifetime occurrence counts per notice kind."""
+    return JSONResponse(content=request.app.notice_registry.stats())
+
+
+@router.post(
+    "/notices/{notice_id}/dismiss", dependencies=[Depends(require_role(["admin"]))]
+)
+def dismiss_notice(request: Request, notice_id: str) -> JSONResponse:
+    """Hide an event notice until it is raised again."""
+    result = request.app.notice_registry.dismiss(notice_id)
+
+    if result == DismissResult.not_found:
+        return JSONResponse(
+            content={"success": False, "message": "Notice not found"},
+            status_code=404,
+        )
+
+    if result == DismissResult.not_dismissable:
+        return JSONResponse(
+            content={
+                "success": False,
+                "message": "This notice clears itself when the problem is fixed",
+            },
+            status_code=400,
+        )
+
+    return JSONResponse(content={"success": True, "message": "Notice dismissed"})
@@ -25,8 +25,20 @@ from frigate.api.defs.query.recordings_query_parameters import (
 )
 from frigate.api.defs.response.generic_response import GenericResponse
 from frigate.api.defs.tags import Tags
-from frigate.const import RECORD_DIR
+from frigate.const import (
+    MAX_SEGMENT_DURATION,
+    RECORD_DIR,
+    STREAM_TYPE_MAIN,
+    STREAM_TYPE_SUB,
+)
 from frigate.models import Event, Recordings
+from frigate.util.recording_coverage import (
+    coverage_spans,
+    known_video_codecs,
+    realized_timelines,
+    resolve_coverage,
+    stream_media_summary,
+)
 from frigate.util.time import get_dst_transitions

 logger = logging.getLogger(__name__)
@@ -59,7 +71,7 @@ def get_recordings_storage_usage(request: Request):


@router.get("/recordings/summary", dependencies=[Depends(allow_any_authenticated())])
-def all_recordings_summary(
+async def all_recordings_summary(
    request: Request,
    params: MediaRecordingsSummaryQueryParams = Depends(),
    allowed_cameras: list[str] = Depends(get_allowed_cameras_for_filter),
@@ -76,18 +88,23 @@ def all_recordings_summary(
    else:
        camera_list = allowed_cameras

-    time_range_query = (
-        Recordings.select(
-            fn.MIN(Recordings.start_time).alias("min_time"),
-            fn.MAX(Recordings.start_time).alias("max_time"),
+    min_time: float | None = None
+    max_time: float | None = None
+    for camera in camera_list:
+        cam_min = (
+            Recordings.select(fn.MIN(Recordings.start_time))
+            .where(Recordings.camera == camera)
+            .scalar()
        )
-        .where(Recordings.camera << camera_list)
-        .dicts()
-        .get()
-    )
-
-    min_time = time_range_query.get("min_time")
-    max_time = time_range_query.get("max_time")
+        if cam_min is None:
+            continue
+        cam_max = (
+            Recordings.select(fn.MAX(Recordings.start_time))
+            .where(Recordings.camera == camera)
+            .scalar()
+        )
+        min_time = cam_min if min_time is None else min(min_time, cam_min)
+        max_time = cam_max if max_time is None else max(max_time, cam_max)

    if min_time is None or max_time is None:
        return JSONResponse(content={})
@@ -97,22 +114,60 @@ def all_recordings_summary(
    days: dict[str, bool] = {}

    for period_start, period_end, period_offset in dst_periods:
-        day_expr = ((Recordings.start_time + period_offset) / 86400).cast("int")
+        first_start = max(min_time, period_start - MAX_SEGMENT_DURATION)
+        first_day = int((first_start + period_offset) // 86400)
+        last_day = int((min(max_time, period_end) + period_offset) // 86400)

-        period_query = (
-            Recordings.select(day_expr.alias("day_idx"))
-            .where(
-                (Recordings.camera << camera_list)
-                & (Recordings.end_time >= period_start)
-                & (Recordings.start_time <= period_end)
+        day_idx = first_day
+        while day_idx <= last_day:
+            day_str = (dt.date(1970, 1, 1) + dt.timedelta(days=day_idx)).isoformat()
+            day_start = day_idx * 86400 - period_offset
+            day_end = day_start + 86400
+
+            if day_str in days:
+                day_idx += 1
+                continue
+
+            if day_end <= period_end:
+                upper = Recordings.start_time < day_end
+            else:
+                upper = Recordings.start_time <= period_end
+
+            has_recordings = (
+                Recordings.select(Recordings.id)
+                .where(
+                    (Recordings.camera << camera_list)
+                    & (Recordings.end_time >= period_start)
+                    & (Recordings.start_time >= day_start)
+                    & upper
+                )
+                .exists()
            )
-            .distinct()
-            .namedtuples()
-        )
+            if has_recordings:
+                days[day_str] = True
+                day_idx += 1
+                continue

-        for g in period_query:
-            day_str = (dt.date(1970, 1, 1) + dt.timedelta(days=g.day_idx)).isoformat()
-            days[day_str] = True
+            # empty day
+            next_start: float | None = None
+            for camera in camera_list:
+                cam_next = (
+                    Recordings.select(fn.MIN(Recordings.start_time))
+                    .where(
+                        Recordings.camera == camera,
+                        Recordings.start_time >= day_end,
+                        Recordings.start_time <= period_end,
+                    )
+                    .scalar()
+                )
+                if cam_next is not None and (
+                    next_start is None or cam_next < next_start
+                ):
+                    next_start = cam_next
+
+            if next_start is None:
+                break
+            day_idx = max(day_idx + 1, int((next_start + period_offset) // 86400))

    return JSONResponse(content=dict(sorted(days.items())))

@@ -149,23 +204,28 @@ async def recordings_summary(camera_name: str, timezone: str = "utc"):
        period_hour_modifier = f"{hours_offset} hour"
        period_minute_modifier = f"{minutes_offset} minute"

+        hour_expression = fn.strftime(
+            "%Y-%m-%d %H",
+            fn.datetime(
+                Recordings.start_time,
+                "unixepoch",
+                period_hour_modifier,
+                period_minute_modifier,
+            ),
+        )
+
+        # sub rows duplicate the camera's motion/object stats, so
+        # aggregating them too would double-count
        recording_groups = (
            Recordings.select(
-                fn.strftime(
-                    "%Y-%m-%d %H",
-                    fn.datetime(
-                        Recordings.start_time,
-                        "unixepoch",
-                        period_hour_modifier,
-                        period_minute_modifier,
-                    ),
-                ).alias("hour"),
+                hour_expression.alias("hour"),
                fn.SUM(Recordings.duration).alias("duration"),
                fn.SUM(Recordings.motion).alias("motion"),
                fn.SUM(Recordings.objects).alias("objects"),
            )
            .where(
                (Recordings.camera == camera_name)
+                & (Recordings.stream_type == STREAM_TYPE_MAIN)
                & (Recordings.end_time >= period_start)
                & (Recordings.start_time <= period_end)
            )
@@ -174,6 +234,23 @@ async def recordings_summary(camera_name: str, timezone: str = "utc"):
            .namedtuples()
        )

+        # sub recordings can outlive main, so hours covered only by sub
+        # rows are reported too, flagged as sub_only
+        sub_groups = (
+            Recordings.select(
+                hour_expression.alias("hour"),
+                fn.SUM(Recordings.duration).alias("duration"),
+            )
+            .where(
+                (Recordings.camera == camera_name)
+                & (Recordings.stream_type == STREAM_TYPE_SUB)
+                & (Recordings.end_time >= period_start)
+                & (Recordings.start_time <= period_end)
+            )
+            .group_by((Recordings.start_time + period_offset).cast("int") / 3600)
+            .namedtuples()
+        )
+
        event_groups = (
            Event.select(
                fn.strftime(
@@ -197,17 +274,43 @@ async def recordings_summary(camera_name: str, timezone: str = "utc"):

        event_map = {g.hour: g.count for g in event_groups}

-        for recording_group in recording_groups:
-            parts = recording_group.hour.split()
+        hour_stats = [
+            (
+                g.hour,
+                {
+                    "motion": g.motion,
+                    "objects": g.objects,
+                    "duration": round(g.duration),
+                },
+            )
+            for g in recording_groups
+        ]
+        main_hours = {group_hour for group_hour, _ in hour_stats}
+        hour_stats.extend(
+            (
+                g.hour,
+                {
+                    "motion": 0,
+                    "objects": 0,
+                    "duration": round(g.duration),
+                    "sub_only": True,
+                },
+            )
+            for g in sub_groups
+            if g.hour not in main_hours
+        )
+        # restore the most-recent-first ordering after merging in sub hours
+        hour_stats.sort(key=lambda entry: entry[0], reverse=True)
+
+        for group_hour, stats in hour_stats:
+            parts = group_hour.split()
            hour = parts[1]
            day = parts[0]
-            events_count = event_map.get(recording_group.hour, 0)
+            events_count = event_map.get(group_hour, 0)
            hour_data = {
                "hour": hour,
                "events": events_count,
-                "motion": recording_group.motion,
-                "objects": recording_group.objects,
-                "duration": round(recording_group.duration),
+                **stats,
            }
            if day in days:
                # merge counts if already present (edge-case at DST boundary)
@@ -223,13 +326,45 @@ async def recordings_summary(camera_name: str, timezone: str = "utc"):
    return JSONResponse(content=list(days.values()))


+@router.get(
+    "/{camera_name}/recordings/coverage",
+    dependencies=[Depends(require_camera_access)],
+)
+async def recordings_coverage(
+    camera_name: str, after: float, before: float, timelines: bool = False
+):
+    """Returns merged recording coverage spans plus codec compatibility.
+
+    codecs_compatible is false only when more than one known video codec
+    appears across the range's rows, the case where the merged vod route
+    degrades to a single-stream manifest.
+    """
+    intervals = resolve_coverage(camera_name, after, before)
+
+    content = {
+        "spans": coverage_spans(intervals),
+        "codecs_compatible": len(known_video_codecs(intervals)) <= 1,
+        "streams": stream_media_summary(intervals),
+    }
+
+    # pure computation (shared plan_clip, record-time keyframe index), but
+    # opt-in for payload hygiene: day-level requests need only the spans
+    if timelines:
+        content["timelines"] = realized_timelines(intervals)
+
+    return JSONResponse(content=content)
+
+
@router.get("/{camera_name}/recordings", dependencies=[Depends(require_camera_access)])
 async def recordings(
    camera_name: str,
-    after: float = (datetime.now() - timedelta(hours=1)).timestamp(),
-    before: float = datetime.now().timestamp(),
+    after: float | None = None,
+    before: float | None = None,
 ):
    """Return specific camera recordings between the given 'after'/'end' times. If not provided the last hour will be used"""
+    now = datetime.now()
+    after = after if after is not None else (now - timedelta(hours=1)).timestamp()
+    before = before if before is not None else now.timestamp()
    recordings = (
        Recordings.select(
            Recordings.id,
@@ -243,6 +378,8 @@ async def recordings(
        )
        .where(
            Recordings.camera == camera_name,
+            Recordings.stream_type == STREAM_TYPE_MAIN,
+            Recordings.start_time >= after - MAX_SEGMENT_DURATION,
            Recordings.end_time >= after,
            Recordings.start_time <= before,
        )
@@ -282,22 +419,22 @@ async def no_recordings(
    )
    scale = params.scale

-    clauses = [
-        (Recordings.end_time >= after) & (Recordings.start_time <= before),
-        (Recordings.camera << camera_list),
-    ]
+    recordings: list[tuple[float, float]] = []
+    for camera in camera_list:
+        recordings.extend(
+            Recordings.select(Recordings.start_time, Recordings.end_time)
+            .where(
+                Recordings.camera == camera,
+                Recordings.start_time >= after - MAX_SEGMENT_DURATION,
+                Recordings.end_time >= after,
+                Recordings.start_time <= before,
+            )
+            .tuples()
+            .iterator()
+        )

-    # Get recording start times
-    data: list[Recordings] = (
-        Recordings.select(Recordings.start_time, Recordings.end_time)
-        .where(reduce(operator.and_, clauses))
-        .order_by(Recordings.start_time.asc())
-        .dicts()
-        .iterator()
-    )
-
-    # Convert recordings to list of (start, end) tuples, ordered by start_time
-    recordings = [(r["start_time"], r["end_time"]) for r in data]
+    # the merge pass below expects a single start-ordered timeline
+    recordings.sort()

    # Merge overlapping/adjacent recordings into covered intervals. The query
    # orders by start_time, so a single pass merges them
@@ -9,7 +9,7 @@ import pandas as pd
 from fastapi import APIRouter, Request
 from fastapi.params import Depends
 from fastapi.responses import JSONResponse
-from peewee import Case, DoesNotExist, IntegrityError, fn, operator
+from peewee import Case, DoesNotExist, fn, operator
 from playhouse.shortcuts import model_to_dict

 from frigate.api.auth import (
@@ -33,6 +33,7 @@ from frigate.api.defs.response.review_response import (
    ReviewSummaryResponse,
 )
 from frigate.api.defs.tags import Tags
+from frigate.const import STREAM_TYPE_MAIN
 from frigate.embeddings import EmbeddingsContext
 from frigate.models import Recordings, ReviewSegment, UserReviewStatus
 from frigate.review.types import SeverityEnum
@@ -172,11 +173,19 @@ async def review_ids(request: Request, ids: str):
            status_code=400,
        )

+    try:
+        reviews = list(
+            ReviewSegment.select().where(ReviewSegment.id << ids).dicts().iterator()
+        )
+    except Exception:
+        return JSONResponse(
+            content=({"success": False, "message": "Review segments not found"}),
+            status_code=400,
+        )
+
+    found_ids = {r["id"] for r in reviews}
    for review_id in ids:
-        try:
-            review = ReviewSegment.get(ReviewSegment.id == review_id)
-            await require_camera_access(review.camera, request=request)
-        except DoesNotExist:
+        if review_id not in found_ids:
            return JSONResponse(
                content=(
                    {"success": False, "message": f"Review {review_id} not found"}
@@ -184,16 +193,10 @@ async def review_ids(request: Request, ids: str):
                status_code=404,
            )

-    try:
-        reviews = (
-            ReviewSegment.select().where(ReviewSegment.id << ids).dicts().iterator()
-        )
-        return JSONResponse(list(reviews))
-    except Exception:
-        return JSONResponse(
-            content=({"success": False, "message": "Review segments not found"}),
-            status_code=400,
-        )
+    for review in reviews:
+        await require_camera_access(review["camera"], request=request)
+
+    return JSONResponse(reviews)


@router.get(
@@ -490,27 +493,52 @@ async def set_multiple_reviewed(

    user_id = current_user["username"]

-    for review_id in body.ids:
-        try:
-            review = ReviewSegment.get(ReviewSegment.id == review_id)
-            await require_camera_access(review.camera, request=request)
-            review_status = UserReviewStatus.get(
-                UserReviewStatus.user_id == user_id,
-                UserReviewStatus.review_segment == review_id,
+    reviews = list(
+        ReviewSegment.select(ReviewSegment.id, ReviewSegment.camera).where(
+            ReviewSegment.id << body.ids
+        )
+    )
+
+    for review in reviews:
+        await require_camera_access(review.camera, request=request)
+
+    found_ids = [r.id for r in reviews]
+
+    if found_ids:
+        existing_statuses = list(
+            UserReviewStatus.select().where(
+                (UserReviewStatus.user_id == user_id)
+                & (UserReviewStatus.review_segment << found_ids)
            )
-            # Update based on the reviewed parameter
-            if review_status.has_been_reviewed != body.reviewed:
-                review_status.has_been_reviewed = body.reviewed
-                review_status.save()
-        except DoesNotExist:
-            try:
-                UserReviewStatus.create(
-                    user_id=user_id,
-                    review_segment=ReviewSegment.get(id=review_id),
-                    has_been_reviewed=body.reviewed,
+        )
+
+        status_by_review = {s.review_segment_id: s for s in existing_statuses}
+
+        to_update = []
+        to_create = []
+
+        for review_id in found_ids:
+            if review_id in status_by_review:
+                status = status_by_review[review_id]
+                if status.has_been_reviewed != body.reviewed:
+                    status.has_been_reviewed = body.reviewed
+                    to_update.append(status)
+            else:
+                to_create.append(
+                    {
+                        "user_id": user_id,
+                        "review_segment_id": review_id,
+                        "has_been_reviewed": body.reviewed,
+                    }
                )
-            except (DoesNotExist, IntegrityError):
-                pass
+
+        if to_update:
+            UserReviewStatus.bulk_update(
+                to_update, fields=[UserReviewStatus.has_been_reviewed], batch_size=100
+            )
+
+        if to_create:
+            UserReviewStatus.insert_many(to_create).on_conflict_ignore().execute()

    return JSONResponse(
        content=(
@@ -598,6 +626,8 @@ def motion_activity(

    clauses = [(Recordings.start_time > after) & (Recordings.end_time < before)]
    clauses.append(Recordings.motion > 0)
+    # sub rows duplicate the camera's motion stats, so only count main rows
+    clauses.append(Recordings.stream_type == STREAM_TYPE_MAIN)

    if cameras != "all":
        requested = set(cameras.split(","))
@@ -49,6 +49,9 @@ from frigate.debug_replay import (
    DebugReplayManager,
    cleanup_replay_cameras,
 )
+from frigate.detectors.detector_config import SceneEnum
+from frigate.detectors.detector_types import api_types
+from frigate.detectors.device import build_detector_config, runner_names
 from frigate.embeddings import EmbeddingProcess, EmbeddingsContext
 from frigate.events.audio import AudioProcessor
 from frigate.events.cleanup import EventCleanup
@@ -59,6 +62,8 @@ from frigate.log import _stop_logging
 from frigate.models import (
    Event,
    Export,
+    Notice,
+    NoticeStats,
    Previews,
    Recordings,
    RecordingsToDelete,
@@ -68,7 +73,9 @@ from frigate.models import (
    Trigger,
    User,
 )
+from frigate.notices.registry import NoticeRegistry
 from frigate.object_detection.base import ObjectDetectProcess
+from frigate.object_detection.util import detection_frame_size
 from frigate.output.output import OutputProcess
 from frigate.ptz.autotrack import PtzAutoTrackerThread
 from frigate.ptz.onvif import OnvifController
@@ -83,7 +90,9 @@ from frigate.timeline import TimelineProcessor
 from frigate.track.object_processing import TrackedObjectProcessor
 from frigate.util.builtin import empty_and_close_queue
 from frigate.util.image import UntrackedSharedMemory
+from frigate.util.ownership import chown_to_runtime
 from frigate.util.process import FrigateProcess
+from frigate.util.runtime_deps import RuntimeDependencyError
 from frigate.util.services import set_file_limit
 from frigate.version import VERSION
 from frigate.watchdog import FrigateWatchdog
@@ -98,7 +107,9 @@ class FrigateApp:
        self.metrics_manager = manager
        self.audio_process: mp.Process | None = None
        self.stop_event = stop_event
-        self.detection_queue: Queue = mp.Queue()
+        self.detection_queues: dict[SceneEnum, Queue] = {
+            model.scene: mp.Queue() for model in config.models
+        }
        self.detectors: dict[str, ObjectDetectProcess] = {}
        self.detection_shms: list[mp.shared_memory.SharedMemory] = []
        self.log_queue: Queue = mp.Queue()
@@ -144,6 +155,7 @@ class FrigateApp:
            if not os.path.exists(d) and not os.path.islink(d):
                logger.info(f"Creating directory: {d}")
                os.makedirs(d, exist_ok=True)
+                chown_to_runtime(d)
            else:
                logger.debug(f"Skipping directory: {d}")

@@ -224,6 +236,17 @@ class FrigateApp:

        migrate_db.close()

+        # a root frigate service creates these as root; wal and shm recreated
+        # later in the run are realigned by the per-boot /config sweep
+        for db_file in (
+            self.config.database.path,
+            f"{self.config.database.path}-wal",
+            f"{self.config.database.path}-shm",
+            self.config.database.path.replace("frigate.db", "backup.db"),
+        ):
+            if os.path.exists(db_file):
+                chown_to_runtime(db_file)
+
    def init_go2rtc(self) -> None:
        for proc in psutil.process_iter(["pid", "name"]):
            if proc.info["name"] == "go2rtc":
@@ -274,6 +297,8 @@ class FrigateApp:
        models = [
            Event,
            Export,
+            Notice,
+            NoticeStats,
            Previews,
            Recordings,
            RecordingsToDelete,
@@ -285,6 +310,10 @@ class FrigateApp:
        ]
        self.db.bind(models)

+        self.notice_registry = NoticeRegistry()
+        # producers confirm state notices again at startup if they still hold
+        self.notice_registry.mark_state_notices_unconfirmed()
+
    def check_db_data_migrations(self) -> None:
        # check if vacuum needs to be run
        if not os.path.exists(f"{CONFIG_DIR}/.exports"):
@@ -334,7 +363,9 @@ class FrigateApp:
            self.onvif_controller,
            self.ptz_metrics,
            comms,
+            notice_registry=self.notice_registry,
        )
+        self.dispatcher.start_communicators()

    def init_profile_manager(self) -> None:
        self.profile_manager = ProfileManager(
@@ -342,21 +373,40 @@ class FrigateApp:
        )
        self.dispatcher.profile_manager = self.profile_manager

-    def start_detectors(self) -> None:
-        for name in self.config.cameras.keys():
+    def ensure_detector_dependencies(self) -> None:
+        """Install runtimes for the configured detector types.
+
+        Runs before any detector process starts so one install serves them
+        all and the user site is on sys.path before the forkserver copies it.
+        A failure is logged and startup continues; the detector process then
+        fails on its own with a clear import error.
+        """
+        detector_types = {
+            spec.detector
+            for model in self.config.models
+            for spec in self.config.devices_for_model(model)
+        }
+
+        for detector_type in sorted(detector_types):
+            try:
+                api_types[detector_type].ensure_dependencies()
+            except RuntimeDependencyError as err:
+                logger.error("Unable to prepare the %s runtime: %s", detector_type, err)
+
+    def start_detectors(self) -> None:
+        model_cameras: dict[SceneEnum, list[str]] = {
+            model.scene: [] for model in self.config.models
+        }
+
+        for name in self.config.cameras.keys():
+            model = self.config.model_for_camera(name)
+            model_cameras[model.scene].append(name)
+
            try:
-                largest_frame = max(
-                    [
-                        det.model.height * det.model.width * 3
-                        if det.model is not None
-                        else 320
-                        for det in self.config.detectors.values()
-                    ]
-                )
                shm_in = UntrackedSharedMemory(
                    name=name,
                    create=True,
-                    size=largest_frame,
+                    size=detection_frame_size(model),
                )
            except FileExistsError:
                shm_in = UntrackedSharedMemory(name=name)
@@ -371,15 +421,26 @@ class FrigateApp:
            self.detection_shms.append(shm_in)
            self.detection_shms.append(shm_out)

-        for name, detector_config in self.config.detectors.items():
-            self.detectors[name] = ObjectDetectProcess(
-                name,
-                self.detection_queue,
-                list(self.config.cameras.keys()),
-                self.config,
-                detector_config,
-                self.stop_event,
-            )
+        # a device may be listed more than once to run additional inference
+        # processes on it, so names are only unique once de-duplicated
+        all_devices = [
+            device
+            for model in self.config.models
+            for device in self.config.devices_for_model(model)
+        ]
+        names = iter(runner_names(all_devices))
+
+        for model in self.config.models:
+            for device in self.config.devices_for_model(model):
+                name = next(names)
+                self.detectors[name] = ObjectDetectProcess(
+                    name,
+                    self.detection_queues[model.scene],
+                    model_cameras[model.scene],
+                    self.config,
+                    build_detector_config(device, model),
+                    self.stop_event,
+                )

    def start_ptz_autotracker(self) -> None:
        self.ptz_autotracker_thread = PtzAutoTrackerThread(
@@ -410,7 +471,7 @@ class FrigateApp:
    def start_camera_processor(self) -> None:
        self.camera_maintainer = CameraMaintainer(
            self.config,
-            self.detection_queue,
+            self.detection_queues,
            self.detected_frames_queue,
            self.camera_metrics,
            self.ptz_metrics,
@@ -449,7 +510,9 @@ class FrigateApp:
        self.record_cleanup.start()

    def start_storage_maintainer(self) -> None:
-        self.storage_maintainer = StorageMaintainer(self.config, self.stop_event)
+        self.storage_maintainer = StorageMaintainer(
+            self.config, self.stop_event, self.notice_registry
+        )
        self.storage_maintainer.start()

    def start_stats_emitter(self) -> None:
@@ -463,11 +526,14 @@ class FrigateApp:
                self.processes,
            ),
            self.stop_event,
+            notice_registry=self.notice_registry,
        )
        self.stats_emitter.start()

    def start_watchdog(self) -> None:
-        self.frigate_watchdog = FrigateWatchdog(self.detectors, self.stop_event)
+        self.frigate_watchdog = FrigateWatchdog(
+            self.detectors, self.stop_event, self.notice_registry
+        )

        # (attribute on self, key in self.processes, factory)
        specs: list[tuple[str, str, Callable[[], FrigateProcess]]] = [
@@ -561,6 +627,7 @@ class FrigateApp:

        # Ensure global state.
        self.ensure_dirs()
+        self.ensure_detector_dependencies()

        # Set soft file limits.
        set_file_limit()
@@ -634,6 +701,7 @@ class FrigateApp:
                    self.dispatcher,
                    self.profile_manager,
                    config_holder=self.config_holder,
+                    notice_registry=self.notice_registry,
                ),
                host="127.0.0.1",
                port=5001,
@@ -674,8 +742,10 @@ class FrigateApp:
        for detector in self.detectors.values():
            detector.stop()

-        empty_and_close_queue(self.detection_queue)
-        logger.info("Detection queue closed")
+        for detection_queue in self.detection_queues.values():
+            empty_and_close_queue(detection_queue)
+
+        logger.info("Detection queues closed")

        self.detected_frames_processor.join()
        empty_and_close_queue(self.detected_frames_queue)
@@ -18,6 +18,7 @@ from frigate.config.camera.updater import (
    CameraConfigUpdateEnum,
    CameraConfigUpdateSubscriber,
 )
+from frigate.detectors.detector_config import NON_LOGO_ATTRIBUTES

 logger = logging.getLogger(__name__)

@@ -178,7 +179,7 @@ class CameraActivityManager:
            return

        for label in camera_config.objects.track:
-            if label in self.config.model.non_logo_attributes:
+            if label in NON_LOGO_ATTRIBUTES:
                continue

            new_count = all_objects[label]