Inspired by proprietary solutions, add clearer details on how transcription
works and what users can expect from the feature. This new presentation is much
simpler to read, parse, and understand than the previous large block of text
that users were not reading at all.
Using icons helps users quickly understand where the transcription is sent, how
they are notified, and which meeting language is used.
Some information is currently hardcoded and will be parameterized in upcoming
commits. This work is ongoing.
Explicitly explain that transcription is reserved for public servants. Remove
the temporary beta form: the feature is now available to all public servants,
with restrictions based on domain. Make white-labeling rules explicit and
clarify who to contact for access.
The beta form created frustration, with users registering and never hearing
back from the team.
Improve guidance when a user may be the meeting host but is not logged in, and
therefore cannot activate recording. Add a clear hint and a quick action to log
in. This decision is based on frequent support requests where users could not
understand why recording was unavailable while they were simply not logged in.
Initially, I thought presenting the recording feature as a beta would clearly
signal that it was still under construction and being improved. In practice, it
sent a negative signal to users, reduced trust, and still generated many
questions for the support team.
Without clearly explaining why the feature was in beta or what was coming next,
the label only added confusion. I chose to simplify the interface and remove the
beta indication altogether.
Follow Robin’s suggestion on the meeting tool layout presentation. The result
does not yet exactly match the Figma design, and I took some freedom to stay
closer to a Google Meet–like layout.
In the initial approach, it was hard to understand that the full option was
clickable. Adding a light background improves discoverability and usability.
Robin chose to adopt Material Design icons, inspired by NVasse’s commit on
Fichier. This sets up the required CSS to easily use Material Icons throughout
the application.
Eventually, all icons in the app will be replaced with Material ones. For now,
the setup is only used in the recording UI refactor.
Simplify wording and presentation of the recording feature heading,
using a more concise and familiar product-style language inspired by
well-known proprietary solutions.
Many public servants use PCs with unusual screen resolutions. The screen
height is often quite small, which caused responsiveness issues on the
vertical axis.
When opening the side panel, they could not see the button to start the
recording. I improved the vertical responsiveness to address this issue and
reduce support requests such as “I cannot see the button”.
Users typically do not think about scrolling inside the side panel, so the
layout now better fits constrained screen heights.
Eliminate the perception of being 'under development,'
which can undermine trust with potential users.
Focus on creating a more confident and reassuring experience.
The previous attempt to make the Deepgram configuration extensible
introduced unnecessary complexity for a very limited use case and
made it harder to add new STT backends.
Refactor to a deliberately simple and explicit design with minimal
cognitive overhead. Configuration is now fully driven by environment
variables and provides enough flexibility for ops to select and
parameterize the STT backend.
Until a Pull Request is merged with our changes on livekit-agent
to support Kyutai API, we will use a custom and hacky python
library made from Arnaud's researches and published on an
unofficial pypi project page.
Everything is quite "draft" but it allows us to deploy and test
in real situation the work from Arnaud.
Some system dependencies were unexpectedly missing, causing the
LiveKit agent framework to fail at runtime.
Install the required dependencies based on runtime error logs.
This fixes Docker image failures in the remote (staging) environment.
Implement Langfuse tracing integration for LLM service calls to capture
prompts, responses, latency, token usage, and errors, enabling
comprehensive monitoring and debugging of AI model interactions
for performance analysis and cost optimization.
Replace plain string fields with Pydantic SecretStr class for all
sensitive configuration values in FastAPI settings to prevent accidental
exposure in logs, error messages, or debugging output, following
security best practices for credential handling.
Install Langfuse observability client in summary service
to enable LLM tracing, monitoring, and debugging capabilities
for AI-powered summarization workflows,
improving visibility into model performance and behavior.
Add OIDC_USER_SUB_FIELD_IMMUTABLE setting to our config and enforce
it in the user viewset. Previously relied on implicit Django
LaSuite defaults.
Makes the sub mutability constraint explicit and ensures it's enforced
at the application level, critical for provisional users where sub is
assigned on first login.
Update the sub field documentation to explicitly reflect its optional nature.
Originally intended to be mandatory, sub became optional due to a code issue.
This change acknowledges and formalizes that behavior as intentional.
The optional sub enables external API integrations to provision users with
only an email address. Full identity (sub) is assigned on first login,
allowing third-party platforms to create users before they authenticate.
Allow external platforms using the public API to create provisional users
with email-only identification when the user doesn't yet exist in our
system. This removes a key friction point blocking third-party integrations
from fully provisioning access on behalf of new users.
Provisional users are created with email as the primary identifier. Full
identity reconciliation (sub assignment) occurs on first login, ensuring
reliable user identification is eventually established.
While email-only user creation is not ideal from an identity perspective,
it provides a pragmatic path to unlock integrations and accelerate adoption
through external platforms that are increasingly driving our videoconference
tool's growth.
Reorder CHANGELOG section headings to follow standard Keep a Changelog format
(Added, Changed, Deprecated, Removed, Fixed, Security) for consistent structure
that users expect when reviewing release notes.
Implement automated CI validation ensuring pull request authors
update CHANGELOG with their changes, preventing undocumented
changes from merging and maintaining accurate release
documentation for users and maintainers.
