Fixes "Invalid LiveKit token" errors caused by field mismatch between
token generation and authentication lookup.
Previously:
- generate_token() used user.sub as token identity
- LiveKitTokenAuthentication tried to retrieve user via user.id field
- This failed when sub was not a UUID (e.g., from LemonLDAP OIDC provider)
Now:
- generate_token() continues using user.sub (canonical OIDC identifier)
- LiveKitTokenAuthentication correctly looks up by sub field
- Both sides now consistently use the same field
This ensures compatibility with all RFC 7519-compliant OIDC providers,
regardless of their sub claim format.
Without explicit commands in values.yaml,
celeryTranscribe and celerySummarize pods
were using the Dockerfile's default CMD (uvicorn),
which started the REST API instead of Celery workers.
This fix adds default commands to values.yaml for both services,
ensuring they run as Celery workers processing their respective
queues (transcribe-queue and summarize-queue).
Add ability to use response_format in call function in order to
have better result with albert-large model
Use reponse_format for next steps and plan generation
This chart exposes an external API from the backend pod.
Currently, it does not include conditional addition of the external API route.
This functionality will be added later.
Add configurable room name regex filtering to exclude Tchap events from shared
LiveKit server webhooks, preventing backend spam from unrelated application
events while maintaining UUID-based room processing for visio.
Those unrelated application events are spamming the sentry.
Acknowledges this is a pragmatic solution trading proper namespace
prefixing for immediate spam reduction with minimal refactoring impact
leaving prefix-based approach for future improvement.
Restrict metadata manager signal triggers to transcription-specific Celery
tasks to prevent exceptions when new summary worker executes tasks
not designed for metadata operations, reducing false-positive Sentry errors.
Make WhisperX language detection configurable through FastAPI settings
to handle empty audio start scenarios where automatic detection fails and
incorrectly defaults to English despite 99% French usage.
Quick fix acknowledging long-term solution should allow dynamic
per-recording language selection configured by users through web
interface rather than global server settings.
Correct accidentally swapped keyboard shortcuts between video and
microphone toggle controls introduced during device component
refactoring, restoring expected shortcut behavior reported by users.
Introduce ENABLE_EXTERNAL_API setting (defaults to False) to allow
administrators to disable external API endpoints, preventing unintended
exposure for self-hosted instances where such endpoints aren't
needed or desired.
From a security perspective, the list endpoint should be limited to return only
rooms created by the external application. Currently, there is a risk of
exposing public rooms through this endpoint.
I will address this in upcoming commits by updating the room model to track
the source of generation. This will also provide useful information
for analytics.
The API viewset was largely copied and adapted. The serializer was heavily
restricted to return a response more appropriate for external applications,
providing ready-to-use information for their users
(for example, a clickable link).
I plan to extend the room information further, potentially aligning it with the
Google Meet API format. This first draft serves as a solid foundation.
Although scopes for delete and update exist, these methods have not yet been
implemented in the viewset. They will be added in future commits.
Enforce the principle of least privilege by granting viewset permissions only
based on the scopes included in the token.
JWTs should never be issued without controlling which actions the application
is allowed to perform.
The first and minimal scope is to allow creating a room link. Additional actions
on the viewset will only be considered after this baseline scope is in place.
This endpoint does not strictly follow the OAuth2 Machine-to-Machine
specification, as we introduce the concept of user delegation (instead of
using the term impersonation).
Typically, OAuth2 M2M is used only to authenticate a machine in server-to-server
exchanges. In our case, we require external applications to act on behalf of a
user in order to assign room ownership and access.
Since these external applications are not integrated with our authorization
server, a workaround was necessary. We treat the delegated user’s email as a
form of scope and issue a JWT to the application if it is authorized to request
it.
Using the term scope for an email may be confusing, but it remains consistent
with OAuth2 vocabulary and allows for future extension, such as supporting a
proper M2M process without any user delegation.
It is important not to confuse the scope in the request body with the scope in
the generated JWT. The request scope refers to the delegated email, while the
JWT scope defines what actions the external application can perform on our
viewset, matching Django’s viewset method naming.
The viewset currently contains a significant amount of logic. I did not find
a clean way to split it without reducing maintainability, but this can be
reconsidered in the future.
Error messages are intentionally vague to avoid exposing sensitive
information to attackers.
Prepare for the introduction of new endpoints reserved for external
applications. Configure the required router and update the Helm chart to ensure
that the Kubernetes ingress properly routes traffic to these new endpoints.
It is important to support independent versioning of both APIs.
Base route’s name aligns with PR #195 on lasuite/drive, opened by @lunika
We need to integrate with external applications. Objective: enable them to
securely generate room links with proper ownership attribution.
Proposed solution: Following the OAuth2 Machine-to-Machine specification,
we expose an endpoint allowing external applications to exchange a client_id
and client_secret pair for a JWT. This JWT is valid only within a well-scoped,
isolated external API, served through a dedicated viewset.
This commit introduces a model to persist application records in the database.
The main challenge lies in generating a secure client_secret and ensuring
it is properly stored.
The restframework-apikey dependency was discarded, as its approach diverges
significantly from OAuth2. Instead, inspiration was taken from oauthlib and
django-oauth-toolkit. However, their implementations proved either too heavy or
not entirely suitable for the intended use case. To avoid pulling in large
dependencies for minimal utility, the necessary components were selectively
copied, adapted, and improved.
A generic SecretField was introduced, designed for reuse and potentially
suitable for upstream contribution to Django.
Secrets are exposed only once at object creation time in the Django admin.
Once the object is saved, the secret is immediately hashed, ensuring it can
never be retrieved again.
One limitation remains: enforcing client_id and client_secret as read-only
during edits. At object creation, marking them read-only excluded them from
the Django form, which unintentionally regenerated new values.
This area requires further refinement.
The design prioritizes configurability while adhering to the principle of least
privilege. By default, new applications are created without any assigned scopes,
preventing them from performing actions on the API until explicitly configured.
If no domain is specified, domain delegation is not applied, allowing tokens
to be issued for any email domain.
Sadly, we used user db id as the posthog distinct id
of identified user, and not the sub.
Before this commit, we were only passing sub to the
summary microservice.
Add the owner's id. Please note we introduce a different
naming behavir, by prefixing the id with "owner". We didn't
for the sub and the email.
We cannot align sub and email with this new naming approach,
because external contributors have already started building
their own microservice.
Manually update libexpat to 2.7.2-r0 in Alpine 3.21.3 base image
to address CVE-2025-59375 high-severity vulnerability until newer
Alpine base image becomes available, ensuring Trivy security scans pass.
Add additional room event tracking to PostHog analytics to better
understand and diagnose disconnection error patterns. Enhanced
telemetry will provide insights for improving connection stability.
Remove incorrect whitespace in queue names that prevented Celery
workers from listening to proper queues. Workers were attempting to
connect to non-existent queues, breaking task distribution.
Ensure transcribe jobs are properly assigned to their specific queue
instead of using default queue. This prevents job routing issues and
ensures proper task distribution across workers.
Implement automated MinIO webhook configuration using Kubernetes job
to enable recording feature functionality. This eliminates manual
setup requirements and ensures consistent webhook configuration
across deployments.
Restore certificate mounting for MinIO webhook communication to
backend after migrating away from unmaintained Bitnami chart.
Mount certificate in proper volume to enable secure bucket-to-backend
webhook delivery.
Add Celery summarize and transcribe worker configuration to Helm
charts for summary microservice. Create new deployment resources
and increment chart version to support distributed task processing.
Introduce FastAPI settings configuration option to completely disable
the summary feature. This improves developer experience by allowing
developers to skip summary-related setup when not needed for their
workflow.
Implement summarization functionality that processes completed meeting
transcripts to generate concise summaries.
First draft base on a simple recursive agentic scenario.
Observability and evaluation will be added in the next PRs.
Name the Celery queue used by transcription worker to prepare for
dedicated summarization queue separation, enabling faster transcript
delivery while isolating new agentic logic in separate worker processes.
Rename incorrectly named OpenAI configuration settings since
they're used to instantiate WhisperX client which is not OpenAI
compatible, preventing confusion about actual service dependencies.
Consolidate summary service into main development stack to centralize
development environment management and simplify service orchestration
with shared infrastructure like MinIO storage.
Adjust permission modal dimensions to properly fit mobile viewports
and prevent poor responsive user experience. Ensures modal content
remains accessible and readable across different screen sizes.
Resolve issue where users with disabled track preferences in local
storage wouldn't receive permission prompts in subsequent sessions,
causing app deadlock. Toggle tracks when permissions are disabled to
re-trigger permission requests.
This is a hotfix addressing critical user feedback. Permission handling
requires further testing and improvements based on gathered user
reports since release.
Resolve regression where non-admin/anonymous users couldn't mute
their microphone from participant list after mute permissions refactoring.
Replace API call with local track mute for better performance and
proper permission handling.
Add accessibility label to screenshare control button to ensure screen
readers can properly announce the button's function to users with
visual impairments.
Hide audio output selector component for Safari browsers due to lack
of native support for audio output device selection APIs. This
prevents user confusion and improves browser compatibility.
Revert recent changes to dynacast and adaptive streaming functionality
to isolate potential causes of regression issues. Changes will be
reintroduced in future commits with improved error handling and
thorough investigation of root causes.
