Add Sentry observability to the `agents`. Introduce a dedicated
`observability.py` module. Refactor both agents to use the shared
observability layer and extract task helpers into a new `tasks.py` module,
making task execution easier to instrument and maintain.
Implement feature flags related functions in
Posthog analytics backend.
We cache the results in django cache to avoid
too frequent calls to Posthog.
Especially for when we are checking multiple features in
the same user request.
Extend the AnalyticsBackend class to support
user feature flags, without a breaking change to the
current implementation.
A flag value is considered to be a bool or a string.
Switch the analytics backend interface from a typing Protocol to an
abstract base class, so the contract that backends must implement
is explicit and enforced at instantiation time.
Created a shared class for handling Header based authentification.
This avoid duplicating logic and helps with a maintaining a signle
security related peace of code.
This commit introduces the compatibility with summary v2.
It tecnically doesn't break the compatibility with v1 as
v1 params are still sent. But we advise people using the
transcribe feature in their own deployments to adapt to the
new v2 API, as this compatibility will be removed in a
future major version.
* RecordingStatusChoices now has
EXTERNAL_PROCESS_SUCCESSFUL
& EXTERNAL_PROCESS_FAILED
Values, which are changed by a new webhook that
can be called by the transcribe service.
This webhook is protected by its own bearer token.
* Title for the document is computed in visio,
* Tests are added / updated accordingly
The management command that merges users with duplicate emails was
comparing emails in a case-insensitive manner, which left some
duplicates in the database when their emails only differed by case.
joserfc versions before 1.6.8 accept an empty or nil HMAC key when
verifying HS256/HS384/HS512 tokens, which is a cross-language
sibling of CVE-2026-45363.
Bump joserfc from 1.6.4 to 1.6.8 to pick up the fix.
Ref: https://avd.aquasec.com/nvd/cve-2026-49852
Track events whenever a new meeting link is generated, both through
the public API and through the external API.
The goal is twofold:
* Identify where the most links are generated from, so we can assess
which integration or entry point works best.
* Measure how many links are generated per user, so we can consider
a user truly active when they generate a link, rather than only
when they participate in a meeting.
Add an analytics abstraction that allows configuring which analytics
solution the app uses. PostHog is implemented as one backend, but by
default no analytics backend is activated.
The goal is to track events in a sufficiently organized way and to
let any developer implement their own backend as long as it follows
the same protocol.
Add the PostHog SDK to the backend so we can send analytics events
from server-side code. We currently lack data on events triggered
from the backend, and this closes that gap.
The original implementation, introduced two years ago, was incorrect
and exposed the API to an undesired authentication mode: any user
access token obtained for a given user was being accepted as valid
credentials on the external API.
Restrict authentication to the intended mode so that user access
tokens are no longer accepted on this API.
Thanks @lunika spotting this.
Recording lifecycle previously relied exclusively on the MinIO storage-hook
endpoint to transition from STOPPED to SAVED, which made the system dependent
on MinIO bucket notifications and lifecycle configuration. Introduce support
for LiveKit egress_ended webhook (EGRESS_COMPLETE, EGRESS_LIMIT_REACHED) as
an alternative finalization mechanism for self-hosted deployments that do
not use MinIO / S3 hooks.
Change behavior of existing configuation RECORDING_STORAGE_EVENT_ENABLE.
When the LiveKit mechanism is enabled (RECORDING_STORAGE_EVENT_ENABLE=False),
RecordingEventsService.handle_complete is triggered from
LiveKitEventsService._handle_egress_ended.
Since we have added custom backgrounds, they could be
soft deleted but were never really deleted.
This commits introduces a command to actually delete
this files.
In introduces also a command to purge pending upload
.
When joining a meeting that already has many participants, new
participants are now muted by default.
This is an empirical change, not directly requested by users but
informed by user experience: a lot of people joining large meetings
arrive with their microphone and/or camera open, which can be
painful for the host, who otherwise has to mute everyone or ask
everyone to mute. Many of these participants are inattentive but
still noisy.
If you are joining a room that is already at a certain size, you are
probably not the one expected to speak; presenters typically join
among the very first participants.
In particularly large rooms, with more than 5 or 10 participants,
the entry notification sound can quickly feel spammy.
A configuration to disable it exists, but new users do not discover
it easily. The sound notification is most useful while waiting for
the first few participants to arrive; once a few people are in, the
meeting usually starts and the sound becomes more disruptive than
helpful.
The visual notification remains in place, so users are still aware
when newcomers join. Roll this out and check whether users find the
change helpful.
Pin idna to >=3.15 via uv constraint-dependencies to fix a moderate
severity (CVSS 5.3) information disclosure vulnerability. The flaw is
network-exploitable with no authentication required.
With the addition of the ANALYSING state
files could be accessed in the short time they
were in that state.
We now require files to be in ready.
Also adds missing frontend types (no impact).
When analysing a file, the previous commit introduced a row level lock
to make sure we would analyse and promote a single file.
This commit changes the locking mechanism so that it happens with
the upload state which avoids long running db locks and potential
perf issues.
Before this commit, post a file check, the policy could be
reused to change the verified file.
Now, files are uplaoded to a temporary location, then inside
a transaction that prevents concurrent calls, the file is
copied to its final destination and the checks are run on that one.
A new file can still be updated with the policy but it will never be read, etc.
As part of this change, all files in the new tmp directory
on s3 should have an expiration policy.
Add an email substring filter to the user merge management command,
allowing selection of a subset of users concerned by the merge process.
This enables safer incremental execution of the command by testing it
on a controlled group of users before applying it globally.
The goal is to validate behavior and ensure the merge process does not
introduce unexpected side effects or inconsistencies at scale.
Add a management command to merge duplicate users and reassign all
granted resources to the most recent user account in the database.
Support a dry-run mode to estimate the impact of the operation before
applying any changes. This helps validate the command and identify
potential issues in environments where realistic testing is difficult.
Add unit tests to verify the command behavior and ensure database
integrity is preserved during the merge process.
Move user provisioning logic out of the external token viewset into a
dedicated service to keep the viewset lightweight and easier to
maintain.
While extracting the logic, refactor user object handling to improve
robustness and make the provisioning workflow easier to reason about.
Defend against race conditions when concurrent requests attempt to
provision the same user. Rely on the existing database constraints to
guarantee uniqueness and gracefully handle integrity errors raised by
concurrent creations.
Update the test to document the actual contract without modifying the
underlying model behavior.
These tests act as non-regression coverage and explicitly assert that
users may have a null sub or email. They are intended to document the
current behavior of the initial user model rather than evolve or
constrain it.
Ghost rows have not been reported as an operational issue. For the sake
of simplicity, avoid changing the model unless required by a concrete
issue or unless the benefits clearly outweigh the added complexity.
Fix a race condition in the external viewset where concurrent requests
could create multiple pending users with the same email address.
No database constraint enforced email uniqueness for pending users,
allowing duplicates to be created under load.
This caused issues during user reconciliation, which expects a single
matching pending user and raises a warning when multiple records are
found.
Add a narrowly scoped migration to enforce the uniqueness constraint
and address the identified issue.
Backport the logging configuration from docs to LaSuite Meet after
discussion with @lunika.
Add a proper base logging setup to restore usable logs in production.
The initial repository bootstrap lacked a complete logging
configuration, resulting in limited operational visibility.
Use the Python port of Google's phone number library on the backend
instead of the JS one on the client. Saves 140Kb of unnecessary JS
and avoids a complex dynamic import that would have been required to
optimize loading.
The transformation is static: the phone number lives in the Django
settings, so the backend can format it once and pass the result to
the client. This avoids every client loading the 140Kb library and
re-computing the same information.
Moreover, within a single client, the transformation was previously
re-computed several times during a webapp lifecycle.
Inspired by commit eb23aef in suitenumerique/docs. The same base
route path is used everywhere, which helps when the backend sits
behind an ingress serving it with a regex like `api/*`.
Allow passing configuration and access level when creating a room
through the external API.
Also add a few guardrails:
* control whether public rooms are accepted on the external API
* set the default access level when creating a new room
Ensure the new room configuration and access level are returned by
the serializer when listing rooms.