`VideoResolutionSubscription` applied the saved reception resolution on
`RoomEvent.TrackPublished`. livekit-client does not raise that event for cameras
that were already sending when the local participant joined, so a user who had
chosen Low definition still received High definition from everyone already in
the meeting, and Low definition only from whoever joined after them. Nothing in
the UI showed the discrepancy: the setting kept displaying Low definition.
Apply the preference to the publications we already know about when the effect
runs, and keep listening on `TrackPublished` — which stays the earliest point to
cap a camera that starts after us — plus `TrackSubscribed`, which is the first
event raised for the cameras that were already sending.
That initial pass also covers a change of preference mid-call, which
`VideoTab.updateExistingRemoteVideoQuality` was doing separately. Removed, it is
now the same code path for joining and for changing the setting.
The three entry points overlap on purpose; the `publication.videoQuality` guard
makes the repeats free. It reads as High definition when nothing was ever
requested, so the default case costs no signal round trip either.
Fixes#1606.
`DockerflowMiddleware` serves the endpoints `/__heartbeat__`, `/__lbheartbeat__
that we use for the kubernetes probes. Sitting at the bottom of
MIDDLEWARE, every Kubernetes probe traversed all middlewares which is not
efficient.
The backend and summary probes had the two Dockerflow endpoints the wrong way
round. `/__lbheartbeat__` returns an unconditional 200 as soon as the server is
up and touches no dependency, while `/__heartbeat__` runs the Dockerflow checks
and answers 500 when one of them errors.
Wired as they were, a database error made `/__heartbeat__` fail on every
backend pod at once, restarting them all. Since a restart cannot fix a
database outage, it's better to use these check on the readiness probe
and start routing traffic when the database is reachable.
- Probe liveness on `/__lbheartbeat__` and readiness on `/__heartbeat__`
- Add a startup probe on `/__lbheartbeat__`, polled every 5s with a
`failureThreshold` of 12, leaving the pod a minute to boot
- Drop `initialDelaySeconds` from liveness and readiness, now that the startup
probe holds them off until the server answers
- Set `timeoutSeconds` to 5s on every probe, up from the 1s Kubernetes default
- Set the readiness `failureThreshold` to 3
The `meet.probes.abstract` helper was missing `periodSeconds` block which means
Kubernetes fell back to its 10s default instead of the chart value.
It's now possible to configure the `failureThreshold` and `successThreshold`.
Builds through the Docker API of the Podman service receive none of the
proxy variables in their RUN steps and fail systematically because of
the proxy rejection. Plain HTTP connections are also rejected by the
proxy with a HTTP 405 method error.
- Passes http_proxy, https_proxy and no_proxy from the shell as build args
- Make the Debian mirror of the agents image a build argument and
override it for bureautix to force https usage
Add the minimal requirements to build and run the project locally on NixOS
- `devenv update` update devenv using NixOS 26.05 stable repositories
- `devenv shell` activates the devenv
- `devenv --profile <profile>` shell uses additional packages when
activated (profile=agent|summary|k8s)
Pin the LiveKit rtc section: the browser reaches the server through
podman's published ports on loopback while egress and the agents reach
it over the podman network, and those two have no address in common.
`advertise_internal_ip` keeps the container's own interface address as a
host candidate alongside the node_ip one, so LiveKit offers both and ICE
picks whichever works. Without it egress only ever sees 127.0.0.1, which
is the egress container itself, and its peer connection timeouts
`use_external_ip` is turned off since it would advertise the STUN-discovered
public IP, which no local peer can hairpin to.
Rootless podman maps container UID 0 to the host user and every other
container UID to a subuid that owns nothing in the worktree, so the usual
DOCKER_USER=$(id -u):$(id -g) makes every bind mount effectively
read-only.
Add a compose.podman.yml to override the compose.yml and set
`userns_mode: keep-id` in order to map the host user to the same UID and UID
inside the container. The merge of the docker compose file is now done with
the COMPOSE_FILE environment variable
The waiting room has its own sound in notifications.mp3, and nothing could play
it: the sprite is named "waiting" while triggerNotificationSound passes a
NotificationType, and howler returns without playing when the sprite id is
unknown. ParticipantWaiting was also absent from the sound settings, so the
check on the store would have refused it first. The toast borrowed the
participant joined sound instead.
The sound was tied to the waiting list going from empty to non empty, so a
second person arriving while someone was still waiting was silent, which is the
case the issue describes.
Name the sprite after the notification type, register the type in the settings,
and sound every arrival, detected on the participant ids so that an admission
and an arrival between two refreshes do not cancel each other out.
closes#1705
get_release() read the version from a version.json file but nothing generates
it during the CI Docker image build, therefore the release reported to Sentry
was always "NA".
Read the version from pyproject.toml instead, which is bumped at each
release and copied into the image.
Incorrect file permissions in the frontend Docker image caused
problems when running the project, and were surfaced by @briquet
while setting it up with Podman.
Adjust the ownership and permissions applied during the build so
the image works cleanly under Docker and Podman alike.
Docker Hub now denies anonymous pulls of minio/minio (pull access
denied), which fails the test-back job for every pull request. The
quay.io/minio/minio mirror remains publicly available, accepts the
same environment variables, and the container lookup in the Configure
MinIO step still matches the image name.
thx @mmaudet
Load the Crisp JavaScript module only once the frontend is idle,
instead of during the initial page load.
Keeps the critical path lighter and prevents Crisp from competing
with the app's own bootstrap for network and CPU on slow devices.
The resource server backend returned any user matching the token's
`sub` claim without checking `User.is_active`. The upstream lasuite
backend only validates the token's introspection `active` claim, so a
deactivated Django account kept API access until its token expired.
Raise `SuspiciousOperation` in `get_or_create_user` when the user is
inactive, which the authentication class turns into a 401, consistent
with `BaseJWTAuthentication`. Add unit and end-to-end tests.
Add a configuration knob for the trace sampling rate, so we can
enable tracing on middleware and cache spans when debugging slow
requests in production.
Sampling is set to 0 by default, so tracing stays fully off unless
explicitly enabled.
Attach the LiveKit SIDs (room and participant) to the connection
analytics event.
Makes it easier to debug problematic sessions and to correlate a
room session with the corresponding LiveKit logs.
Around 0.76% of incoming LiveKit webhooks were being flagged as
unprocessable and returned a 422, even though LiveKit was sending
legitimate data — just with event types we do not handle. This
inflated error metrics and made real webhook issues harder to spot.
Return a 200 for these webhooks instead. When a new, unhandled
event type shows up, log a warning so we can decide whether it is
worth adding explicit handling.
The request summary info logs were spamming the log stream, making
around 46% of the total volume, without carrying any exploitable
information.
Silence them so the remaining logs are easier to explore and cheaper
to store; roughly halves the overall log volume.
On a busy morning, `/me` alone produced 72k warning logs — 97% of
all warnings. They all come from anonymous requests to `/me`
without credentials, which is normal: `/me` is how the app
determines the current auth status.
These warnings carry no diagnostic value on this endpoint, so
silence them there to cut down on log volume.
AUTHENTICATED_PARTICIPANTS_CAN_EDIT_DISPLAY_NAME was only enforced at
LiveKit token generation and by hiding the name field in the frontend.
The `rooms/{id}/rename/` endpoint never checked it, so any authenticated
user with a valid room token could rename themselves via the API even
when the self-hoster had disabled it.
Return 403 from the rename action for authenticated users when the
setting is disabled, mirroring the `can_edit` rule in
`core.utils.generate_token`. Anonymous participants are unaffected, as
they have no account name to fall back on.
Add tests covering the disabled/enabled cases for authenticated users
and the anonymous exception.
When the lobby is disabled mid-meeting (e.g. the room is switched to
public), the waiting participants list stopped being refetched, so
the previously cached list stayed visible with stale data.
Trigger a refetch in that case as well, so the list is cleared and
the moderator UI no longer shows waiting participants for a lobby
that is no longer active.
Highlighted by a suggestion from @florent, the waiting participant
list was not sorted, so moderators could see participants in an
arbitrary order.
Add an explicit `entered_at` attribute on each waiting participant,
so the list can be sorted by arrival time. Participants are now
shown in a stable order of arrival, both across polls and across
moderators.
Compute the position of the login hint at render time so it is
always displayed close to the login button, regardless of the
button's placement or the current viewport size.
When a moderator accepts or rejects a lobby entry that no longer
exists, emit a tracking event so we can measure how often it
happens.
This signal will help tune the lobby polling interval: too many
"not found" events means the moderator side is working from a stale
list. Keep raising the error to the client on top of tracking it,
so the frontend still surfaces the issue (its current handling of
this case is still incomplete).
Include the time taken by each request in the Gunicorn worker
access logs, so we can spot slow endpoints and correlate latency
patterns directly from the logs.
The previous presence cache lookup keyed off a scan over the whole
cache, so its cost was O(db_size) rather than O(room_size).
Combined with the recent switch to cursor-based `SCAN` at an
inappropriate page size, this caused a lot of Redis round-trips and
noticeably slowed down the backend pods under load.
Refactor the presence cache to keep a per-room set of all its
participant keys. Lookups now iterate that set instead of scanning
the whole database.
Complexity is now bounded by room size, not database size, which
should restore the backend performance to its previous levels while
keeping the lobby behavior unchanged.
The previous lobby lookup keyed off a scan over the whole cache, so
its cost was O(db_size) rather than O(room_size). Combined with the
recent switch to cursor-based `SCAN` at an inappropriate page size,
this caused a lot of Redis round-trips and noticeably slowed down
the backend pods under load.
Refactor the lobby storage to keep a per-room set of all its lobby
keys. Lookups now iterate that set instead of scanning the whole
database:
* Membership in the set acts as a memory of who is supposedly in
the lobby for a given room.
* Individual keys are then read to check who is actually still
waiting or accepted.
Complexity is now bounded by room size, not database size, which
should restore the backend performance to its previous levels while
keeping the lobby behavior unchanged.
The `/me` endpoint was called without a trailing slash, so every
request was going through a 301 redirect before hitting the actual
endpoint.
This endpoint is called by every user at least once per session, so
based on the logs, avoiding the redirect should cut the volume of
requests hitting it by around 10%.
Increase the polling interval used by the lobby feature, on both the
waiting participant side and the moderator side.
The goal is to reduce the volume of requests the lobby generates,
trading a bit of data freshness for better performance.
It will de facto reduce pressure on the backend.
We will observe the impact in production, and revisit these
intervals if the delays turn out to be too aggressive.
Cyril