recording end time: 3h min

* Identify action items

* Add action items to mock summary

* Add action items validator

* Remove final prefix from action items

* Make on action items callback required

* Don't mutation action items response

* Assign action items to none on error

* Use timeout constant

* Exclude action items from transcript list

.github/workflows/dockerhub-backend.yml

@@ -1,12 +1,9 @@
 name: Build and Push Backend Docker Image (Docker Hub)
 
 on:
-  pull_request:
+  push:
-    types:
+    tags:
-      - closed
+      - "v*"
-    paths:
-      - "server/**"
-      - ".github/workflows/dockerhub-backend.yml"
   workflow_dispatch:
 
 env:
@@ -16,11 +13,6 @@ env:
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
-    if: |
-      github.event_name == 'workflow_dispatch' ||
-      (github.event.pull_request.merged == true &&
-       startsWith(github.event.pull_request.head.ref, 'release-please--branches--'))
-
     permissions:
       contents: read
 
@@ -42,7 +34,7 @@ jobs:
           images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
           tags: |
             type=ref,event=branch
-            type=sha,prefix={{branch}}-
+            type=ref,event=tag
             type=raw,value=latest,enable={{is_default_branch}}
 
       - name: Set up Docker Buildx

.github/workflows/dockerhub-frontend.yml

@@ -1,12 +1,9 @@
 name: Build and Push Frontend Docker Image
 
 on:
-  pull_request:
+  push:
-    types:
+    tags:
-      - closed
+      - "v*"
-    paths:
-      - "www/**"
-      - ".github/workflows/dockerhub-frontend.yml"
   workflow_dispatch:
 
 env:
@@ -16,11 +13,6 @@ env:
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
-    if: |
-      github.event_name == 'workflow_dispatch' ||
-      (github.event.pull_request.merged == true &&
-       startsWith(github.event.pull_request.head.ref, 'release-please--branches--'))
-
     permissions:
       contents: read
 
@@ -42,7 +34,7 @@ jobs:
           images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
           tags: |
             type=ref,event=branch
-            type=sha,prefix={{branch}}-
+            type=ref,event=tag
             type=raw,value=latest,enable={{is_default_branch}}
           github-token: ${{ secrets.GITHUB_TOKEN }}
 
@@ -61,10 +53,18 @@ jobs:
           cache-to: type=gha,mode=max
           platforms: linux/amd64,linux/arm64
 
+  deploy:
+    needs: build-and-push
+    runs-on: ubuntu-latest
+    if: success()
+    strategy:
+      matrix:
+        environment: [reflector-monadical, reflector-media]
+    environment: ${{ matrix.environment }}
+    steps:
       - name: Trigger Coolify deployment
-        if: success()
         run: |
           curl -X POST "${{ secrets.COOLIFY_WEBHOOK_URL }}" \
             -H "Content-Type: application/json" \
             -H "Authorization: Bearer ${{ secrets.COOLIFY_WEBHOOK_TOKEN }}" \
-            -f || (echo "Failed to trigger Coolify deployment" && exit 1)
+            -f || (echo "Failed to trigger Coolify deployment for ${{ matrix.environment }}" && exit 1)

.secrets.example

@@ -15,8 +15,10 @@ GITHUB_TOKEN=your-github-token-or-use-default-GITHUB_TOKEN
 
 # Coolify Deployment Webhook (required for frontend deployment)
 # Used to trigger automatic deployment after image push
-COOLIFY_WEBHOOK_URL=https://app.monadical.io/api/v1/deploy?uuid=your-uuid&force=false
+# Configure these secrets in GitHub Environments:
-COOLIFY_WEBHOOK_TOKEN=your-coolify-webhook-token
+# Each environment should have:
+#   - COOLIFY_WEBHOOK_URL: The webhook URL for that specific deployment
+#   - COOLIFY_WEBHOOK_TOKEN: The webhook token (can be the same for both if using same token)
 
 # Optional: GitHub Actions Cache Token (for local testing with act)
 GHA_CACHE_TOKEN=your-github-token-or-empty

CHANGELOG.md

@@ -1,5 +1,19 @@
 # Changelog
 
+## [0.23.2](https://github.com/Monadical-SAS/reflector/compare/v0.23.1...v0.23.2) (2025-12-11)
+
+
+### Bug Fixes
+
+* build on push tags ([#785](https://github.com/Monadical-SAS/reflector/issues/785)) ([d7f140b](https://github.com/Monadical-SAS/reflector/commit/d7f140b7d1f4660d5da7a0da1357f68869e0b5cd))
+
+## [0.23.1](https://github.com/Monadical-SAS/reflector/compare/v0.23.0...v0.23.1) (2025-12-11)
+
+
+### Bug Fixes
+
+* populate room_name in transcript GET endpoint ([#783](https://github.com/Monadical-SAS/reflector/issues/783)) ([0eba147](https://github.com/Monadical-SAS/reflector/commit/0eba1470181c7b9e0a79964a1ef28c09bcbdd9d7))
+
 ## [0.23.0](https://github.com/Monadical-SAS/reflector/compare/v0.22.4...v0.23.0) (2025-12-10)
 
 

docker-compose.prod.yml

@@ -4,6 +4,7 @@
 services:
   web:
     image: monadicalsas/reflector-frontend:latest
+    pull_policy: always
     environment:
       - KV_URL=${KV_URL:-redis://redis:6379}
       - SITE_URL=${SITE_URL}

server/migrations/versions/05f8688d6895_add_action_items.py

@@ -0,0 +1,26 @@
+"""add_action_items
+
+Revision ID: 05f8688d6895
+Revises: bbafedfa510c
+Create Date: 2025-12-12 11:57:50.209658
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "05f8688d6895"
+down_revision: Union[str, None] = "bbafedfa510c"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.add_column("transcript", sa.Column("action_items", sa.JSON(), nullable=True))
+
+
+def downgrade() -> None:
+    op.drop_column("transcript", "action_items")

server/reflector/dailyco_api/__init__.py

@@ -18,6 +18,7 @@ from .requests import (
 
 # Response models
 from .responses import (
+    FinishedRecordingResponse,
     MeetingParticipant,
     MeetingParticipantsResponse,
     MeetingResponse,
@@ -79,6 +80,7 @@ __all__ = [
     "MeetingParticipant",
     "MeetingResponse",
     "RecordingResponse",
+    "FinishedRecordingResponse",
     "RecordingS3Info",
     "MeetingTokenResponse",
     "WebhookResponse",

server/reflector/dailyco_api/requests.py

@@ -91,6 +91,10 @@ class MeetingTokenProperties(BaseModel):
     start_cloud_recording: bool = Field(
         default=False, description="Automatically start cloud recording on join"
     )
+    start_cloud_recording_opts: dict | None = Field(
+        default=None,
+        description="Options for startRecording when start_cloud_recording is true (e.g., maxDuration)",
+    )
     enable_recording_ui: bool = Field(
         default=True, description="Show recording controls in UI"
     )

server/reflector/dailyco_api/responses.py

@@ -121,7 +121,10 @@ class RecordingS3Info(BaseModel):
 
 class RecordingResponse(BaseModel):
     """
-    Response from recording retrieval endpoint.
+    Response from recording retrieval endpoint (network layer).
+
+    Duration may be None for recordings still being processed by Daily.
+    Use FinishedRecordingResponse for recordings ready for processing.
 
     Reference: https://docs.daily.co/reference/rest-api/recordings
     """
@@ -135,7 +138,9 @@ class RecordingResponse(BaseModel):
     max_participants: int | None = Field(
         None, description="Maximum participants during recording (may be missing)"
     )
-    duration: int = Field(description="Recording duration in seconds")
+    duration: int | None = Field(
+        None, description="Recording duration in seconds (None if still processing)"
+    )
     share_token: NonEmptyString | None = Field(
         None, description="Token for sharing recording"
     )
@@ -149,6 +154,25 @@ class RecordingResponse(BaseModel):
         None, description="Meeting session identifier (may be missing)"
     )
 
+    def to_finished(self) -> "FinishedRecordingResponse | None":
+        """Convert to FinishedRecordingResponse if duration is available and status is finished."""
+        if self.duration is None or self.status != "finished":
+            return None
+        return FinishedRecordingResponse(**self.model_dump())
+
+
+class FinishedRecordingResponse(RecordingResponse):
+    """
+    Recording with confirmed duration - ready for processing.
+
+    This model guarantees duration is present and status is finished.
+    """
+
+    status: Literal["finished"] = Field(
+        description="Recording status (always 'finished')"
+    )
+    duration: int = Field(description="Recording duration in seconds")
+
 
 class MeetingTokenResponse(BaseModel):
     """

server/reflector/db/recordings.py

@@ -3,6 +3,7 @@ from typing import Literal
 
 import sqlalchemy as sa
 from pydantic import BaseModel, Field
+from sqlalchemy import or_
 
 from reflector.db import get_database, metadata
 from reflector.utils import generate_uuid4
@@ -79,5 +80,35 @@ class RecordingController:
         results = await get_database().fetch_all(query)
         return [Recording(**row) for row in results]
 
+    async def get_multitrack_needing_reprocessing(
+        self, bucket_name: str
+    ) -> list[Recording]:
+        """
+        Get multitrack recordings that need reprocessing:
+        - Have track_keys (multitrack)
+        - Either have no transcript OR transcript has error status
+
+        This is more efficient than fetching all recordings and filtering in Python.
+        """
+        from reflector.db.transcripts import (
+            transcripts,  # noqa: PLC0415 cyclic import
+        )
+
+        query = (
+            recordings.select()
+            .outerjoin(transcripts, recordings.c.id == transcripts.c.recording_id)
+            .where(
+                recordings.c.bucket_name == bucket_name,
+                recordings.c.track_keys.isnot(None),
+                or_(
+                    transcripts.c.id.is_(None),
+                    transcripts.c.status == "error",
+                ),
+            )
+        )
+        results = await get_database().fetch_all(query)
+        recordings_list = [Recording(**row) for row in results]
+        return [r for r in recordings_list if r.is_multitrack]
+
 
 recordings_controller = RecordingController()

server/reflector/db/transcripts.py

@@ -44,6 +44,7 @@ transcripts = sqlalchemy.Table(
     sqlalchemy.Column("title", sqlalchemy.String),
     sqlalchemy.Column("short_summary", sqlalchemy.String),
     sqlalchemy.Column("long_summary", sqlalchemy.String),
+    sqlalchemy.Column("action_items", sqlalchemy.JSON),
     sqlalchemy.Column("topics", sqlalchemy.JSON),
     sqlalchemy.Column("events", sqlalchemy.JSON),
     sqlalchemy.Column("participants", sqlalchemy.JSON),
@@ -164,6 +165,10 @@ class TranscriptFinalLongSummary(BaseModel):
     long_summary: str
 
 
+class TranscriptActionItems(BaseModel):
+    action_items: dict
+
+
 class TranscriptFinalTitle(BaseModel):
     title: str
 
@@ -204,6 +209,7 @@ class Transcript(BaseModel):
     locked: bool = False
     short_summary: str | None = None
     long_summary: str | None = None
+    action_items: dict | None = None
     topics: list[TranscriptTopic] = []
     events: list[TranscriptEvent] = []
     participants: list[TranscriptParticipant] | None = []
@@ -368,7 +374,12 @@ class TranscriptController:
         room_id: str | None = None,
         search_term: str | None = None,
         return_query: bool = False,
-        exclude_columns: list[str] = ["topics", "events", "participants"],
+        exclude_columns: list[str] = [
+            "topics",
+            "events",
+            "participants",
+            "action_items",
+        ],
     ) -> list[Transcript]:
         """
         Get all transcripts

server/reflector/llm.py

@@ -16,6 +16,9 @@ from llama_index.core.workflow import (
 )
 from llama_index.llms.openai_like import OpenAILike
 from pydantic import BaseModel, ValidationError
+from workflows.errors import WorkflowTimeoutError
+
+from reflector.utils.retry import retry
 
 T = TypeVar("T", bound=BaseModel)
 OutputT = TypeVar("OutputT", bound=BaseModel)
@@ -229,26 +232,38 @@ class LLM:
         texts: list[str],
         output_cls: Type[T],
         tone_name: str | None = None,
+        timeout: int | None = None,
     ) -> T:
         """Get structured output from LLM with validation retry via Workflow."""
-        workflow = StructuredOutputWorkflow(
+        if timeout is None:
-            output_cls=output_cls,
+            timeout = self.settings_obj.LLM_STRUCTURED_RESPONSE_TIMEOUT
-            max_retries=self.settings_obj.LLM_PARSE_MAX_RETRIES + 1,
-            timeout=120,
-        )
 
-        result = await workflow.run(
+        async def run_workflow():
-            prompt=prompt,
+            workflow = StructuredOutputWorkflow(
-            texts=texts,
-            tone_name=tone_name,
-        )
-
-        if "error" in result:
-            error_msg = result["error"] or "Max retries exceeded"
-            raise LLMParseError(
                 output_cls=output_cls,
-                error_msg=error_msg,
+                max_retries=self.settings_obj.LLM_PARSE_MAX_RETRIES + 1,
-                attempts=result.get("attempts", 0),
+                timeout=timeout,
             )
 
-        return result["success"]
+            result = await workflow.run(
+                prompt=prompt,
+                texts=texts,
+                tone_name=tone_name,
+            )
+
+            if "error" in result:
+                error_msg = result["error"] or "Max retries exceeded"
+                raise LLMParseError(
+                    output_cls=output_cls,
+                    error_msg=error_msg,
+                    attempts=result.get("attempts", 0),
+                )
+
+            return result["success"]
+
+        return await retry(run_workflow)(
+            retry_attempts=3,
+            retry_backoff_interval=1.0,
+            retry_backoff_max=30.0,
+            retry_ignore_exc_types=(WorkflowTimeoutError,),
+        )

server/reflector/pipelines/main_file_pipeline.py

@@ -309,6 +309,7 @@ class PipelineMainFile(PipelineMainBase):
             transcript,
             on_long_summary_callback=self.on_long_summary,
             on_short_summary_callback=self.on_short_summary,
+            on_action_items_callback=self.on_action_items,
             empty_pipeline=self.empty_pipeline,
             logger=self.logger,
         )

server/reflector/pipelines/main_live_pipeline.py

@@ -27,6 +27,7 @@ from reflector.db.recordings import recordings_controller
 from reflector.db.rooms import rooms_controller
 from reflector.db.transcripts import (
     Transcript,
+    TranscriptActionItems,
     TranscriptDuration,
     TranscriptFinalLongSummary,
     TranscriptFinalShortSummary,
@@ -306,6 +307,23 @@ class PipelineMainBase(PipelineRunner[PipelineMessage], Generic[PipelineMessage]
                 data=final_short_summary,
             )
 
+    @broadcast_to_sockets
+    async def on_action_items(self, data):
+        action_items = TranscriptActionItems(action_items=data.action_items)
+        async with self.transaction():
+            transcript = await self.get_transcript()
+            await transcripts_controller.update(
+                transcript,
+                {
+                    "action_items": action_items.action_items,
+                },
+            )
+            return await transcripts_controller.append_event(
+                transcript=transcript,
+                event="ACTION_ITEMS",
+                data=action_items,
+            )
+
     @broadcast_to_sockets
     async def on_duration(self, data):
         async with self.transaction():
@@ -465,6 +483,7 @@ class PipelineMainFinalSummaries(PipelineMainFromTopics):
                 transcript=self._transcript,
                 callback=self.on_long_summary,
                 on_short_summary=self.on_short_summary,
+                on_action_items=self.on_action_items,
             ),
         ]
 

server/reflector/pipelines/main_multitrack_pipeline.py

@@ -772,6 +772,7 @@ class PipelineMainMultitrack(PipelineMainBase):
             transcript,
             on_long_summary_callback=self.on_long_summary,
             on_short_summary_callback=self.on_short_summary,
+            on_action_items_callback=self.on_action_items,
             empty_pipeline=self.empty_pipeline,
             logger=self.logger,
         )

server/reflector/pipelines/topic_processing.py

@@ -89,6 +89,7 @@ async def generate_summaries(
     *,
     on_long_summary_callback: Callable,
     on_short_summary_callback: Callable,
+    on_action_items_callback: Callable,
     empty_pipeline: EmptyPipeline,
     logger: structlog.BoundLogger,
 ):
@@ -96,11 +97,14 @@ async def generate_summaries(
         logger.warning("No topics for summary generation")
         return
 
-    processor = TranscriptFinalSummaryProcessor(
+    processor_kwargs = {
-        transcript=transcript,
+        "transcript": transcript,
-        callback=on_long_summary_callback,
+        "callback": on_long_summary_callback,
-        on_short_summary=on_short_summary_callback,
+        "on_short_summary": on_short_summary_callback,
-    )
+        "on_action_items": on_action_items_callback,
+    }
+
+    processor = TranscriptFinalSummaryProcessor(**processor_kwargs)
     processor.set_pipeline(empty_pipeline)
 
     for topic in topics:

server/reflector/processors/summary/summary_builder.py

@@ -96,6 +96,36 @@ RECAP_PROMPT = dedent(
     """
 ).strip()
 
+ACTION_ITEMS_PROMPT = dedent(
+    """
+    Identify action items from this meeting transcript. Your goal is to identify what was decided and what needs to happen next.
+
+    Look for:
+
+    1. **Decisions Made**: Any decisions, choices, or conclusions reached during the meeting. For each decision:
+       - What was decided? (be specific)
+       - Who made the decision or was involved? (use actual participant names)
+       - Why was this decision made? (key factors, reasoning, or rationale)
+
+    2. **Next Steps / Action Items**: Any tasks, follow-ups, or actions that were mentioned or assigned. For each action item:
+       - What specific task needs to be done? (be concrete and actionable)
+       - Who is responsible? (use actual participant names if mentioned, or "team" if unclear)
+       - When is it due? (any deadlines, timeframes, or "by next meeting" type commitments)
+       - What context is needed? (any additional details that help understand the task)
+
+    Guidelines:
+    - Be thorough and identify all action items, even if they seem minor
+    - Include items that were agreed upon, assigned, or committed to
+    - Include decisions even if they seem obvious or implicit
+    - If someone says "I'll do X" or "We should do Y", that's an action item
+    - If someone says "Let's go with option A", that's a decision
+    - Use the exact participant names from the transcript
+    - If no participant name is mentioned, you can leave assigned_to/decided_by as null
+
+    Only return empty lists if the transcript contains NO decisions and NO action items whatsoever.
+    """
+).strip()
+
 STRUCTURED_RESPONSE_PROMPT_TEMPLATE = dedent(
     """
     Based on the following analysis, provide the information in the requested JSON format:
@@ -155,6 +185,53 @@ class SubjectsResponse(BaseModel):
     )
 
 
+class ActionItem(BaseModel):
+    """A single action item from the meeting"""
+
+    task: str = Field(description="The task or action item to be completed")
+    assigned_to: str | None = Field(
+        default=None, description="Person or team assigned to this task (name)"
+    )
+    assigned_to_participant_id: str | None = Field(
+        default=None, description="Participant ID if assigned_to matches a participant"
+    )
+    deadline: str | None = Field(
+        default=None, description="Deadline or timeframe mentioned for this task"
+    )
+    context: str | None = Field(
+        default=None, description="Additional context or notes about this task"
+    )
+
+
+class Decision(BaseModel):
+    """A decision made during the meeting"""
+
+    decision: str = Field(description="What was decided")
+    rationale: str | None = Field(
+        default=None,
+        description="Reasoning or key factors that influenced this decision",
+    )
+    decided_by: str | None = Field(
+        default=None, description="Person or group who made the decision (name)"
+    )
+    decided_by_participant_id: str | None = Field(
+        default=None, description="Participant ID if decided_by matches a participant"
+    )
+
+
+class ActionItemsResponse(BaseModel):
+    """Pydantic model for identified action items"""
+
+    decisions: list[Decision] = Field(
+        default_factory=list,
+        description="List of decisions made during the meeting",
+    )
+    next_steps: list[ActionItem] = Field(
+        default_factory=list,
+        description="List of action items and next steps to be taken",
+    )
+
+
 class SummaryBuilder:
     def __init__(self, llm: LLM, filename: str | None = None, logger=None) -> None:
         self.transcript: str | None = None
@@ -166,6 +243,8 @@ class SummaryBuilder:
         self.model_name: str = llm.model_name
         self.logger = logger or structlog.get_logger()
         self.participant_instructions: str | None = None
+        self.action_items: ActionItemsResponse | None = None
+        self.participant_name_to_id: dict[str, str] = {}
         if filename:
             self.read_transcript_from_file(filename)
 
@@ -189,13 +268,20 @@ class SummaryBuilder:
         self.llm = llm
 
     async def _get_structured_response(
-        self, prompt: str, output_cls: Type[T], tone_name: str | None = None
+        self,
+        prompt: str,
+        output_cls: Type[T],
+        tone_name: str | None = None,
+        timeout: int | None = None,
     ) -> T:
         """Generic function to get structured output from LLM for non-function-calling models."""
-        # Add participant instructions to the prompt if available
         enhanced_prompt = self._enhance_prompt_with_participants(prompt)
         return await self.llm.get_structured_response(
-            enhanced_prompt, [self.transcript], output_cls, tone_name=tone_name
+            enhanced_prompt,
+            [self.transcript],
+            output_cls,
+            tone_name=tone_name,
+            timeout=timeout,
         )
 
     async def _get_response(
@@ -216,11 +302,19 @@ class SummaryBuilder:
     # Participants
     # ----------------------------------------------------------------------------
 
-    def set_known_participants(self, participants: list[str]) -> None:
+    def set_known_participants(
+        self,
+        participants: list[str],
+        participant_name_to_id: dict[str, str] | None = None,
+    ) -> None:
         """
         Set known participants directly without LLM identification.
         This is used when participants are already identified and stored.
         They are appended at the end of the transcript, providing more context for the assistant.
+
+        Args:
+            participants: List of participant names
+            participant_name_to_id: Optional mapping of participant names to their IDs
         """
         if not participants:
             self.logger.warning("No participants provided")
@@ -231,10 +325,12 @@ class SummaryBuilder:
             participants=participants,
         )
 
+        if participant_name_to_id:
+            self.participant_name_to_id = participant_name_to_id
+
         participants_md = self.format_list_md(participants)
         self.transcript += f"\n\n# Participants\n\n{participants_md}"
 
-        # Set instructions that will be automatically added to all prompts
         participants_list = ", ".join(participants)
         self.participant_instructions = dedent(
             f"""
@@ -413,6 +509,92 @@ class SummaryBuilder:
         self.recap = str(recap_response)
         self.logger.info(f"Quick recap: {self.recap}")
 
+    def _map_participant_names_to_ids(
+        self, response: ActionItemsResponse
+    ) -> ActionItemsResponse:
+        """Map participant names in action items to participant IDs."""
+        if not self.participant_name_to_id:
+            return response
+
+        decisions = []
+        for decision in response.decisions:
+            new_decision = decision.model_copy()
+            if (
+                decision.decided_by
+                and decision.decided_by in self.participant_name_to_id
+            ):
+                new_decision.decided_by_participant_id = self.participant_name_to_id[
+                    decision.decided_by
+                ]
+            decisions.append(new_decision)
+
+        next_steps = []
+        for item in response.next_steps:
+            new_item = item.model_copy()
+            if item.assigned_to and item.assigned_to in self.participant_name_to_id:
+                new_item.assigned_to_participant_id = self.participant_name_to_id[
+                    item.assigned_to
+                ]
+            next_steps.append(new_item)
+
+        return ActionItemsResponse(decisions=decisions, next_steps=next_steps)
+
+    async def identify_action_items(self) -> ActionItemsResponse | None:
+        """Identify action items (decisions and next steps) from the transcript."""
+        self.logger.info("--- identify action items using TreeSummarize")
+
+        if not self.transcript:
+            self.logger.warning(
+                "No transcript available for action items identification"
+            )
+            self.action_items = None
+            return None
+
+        action_items_prompt = ACTION_ITEMS_PROMPT
+
+        try:
+            response = await self._get_structured_response(
+                action_items_prompt,
+                ActionItemsResponse,
+                tone_name="Action item identifier",
+                timeout=settings.LLM_STRUCTURED_RESPONSE_TIMEOUT,
+            )
+
+            response = self._map_participant_names_to_ids(response)
+
+            self.action_items = response
+            self.logger.info(
+                f"Identified {len(response.decisions)} decisions and {len(response.next_steps)} action items",
+                decisions_count=len(response.decisions),
+                next_steps_count=len(response.next_steps),
+            )
+
+            if response.decisions:
+                self.logger.debug(
+                    "Decisions identified",
+                    decisions=[d.decision for d in response.decisions],
+                )
+            if response.next_steps:
+                self.logger.debug(
+                    "Action items identified",
+                    tasks=[item.task for item in response.next_steps],
+                )
+            if not response.decisions and not response.next_steps:
+                self.logger.warning(
+                    "No action items identified from transcript",
+                    transcript_length=len(self.transcript),
+                )
+
+            return response
+
+        except Exception as e:
+            self.logger.error(
+                f"Error identifying action items: {e}",
+                exc_info=True,
+            )
+            self.action_items = None
+            return None
+
     async def generate_summary(self, only_subjects: bool = False) -> None:
         """
         Generate summary by extracting subjects, creating summaries for each, and generating a recap.
@@ -424,6 +606,7 @@ class SummaryBuilder:
 
         await self.generate_subject_summaries()
         await self.generate_recap()
+        await self.identify_action_items()
 
     # ----------------------------------------------------------------------------
     # Markdown
@@ -526,8 +709,6 @@ if __name__ == "__main__":
         if args.summary:
             await sm.generate_summary()
 
-        # Note: action items generation has been removed
-
         print("")
         print("-" * 80)
         print("")

server/reflector/processors/transcript_final_summary.py

@@ -1,7 +1,12 @@
 from reflector.llm import LLM
 from reflector.processors.base import Processor
 from reflector.processors.summary.summary_builder import SummaryBuilder
-from reflector.processors.types import FinalLongSummary, FinalShortSummary, TitleSummary
+from reflector.processors.types import (
+    ActionItems,
+    FinalLongSummary,
+    FinalShortSummary,
+    TitleSummary,
+)
 from reflector.settings import settings
 
 
@@ -27,15 +32,20 @@ class TranscriptFinalSummaryProcessor(Processor):
         builder = SummaryBuilder(self.llm, logger=self.logger)
         builder.set_transcript(text)
 
-        # Use known participants if available, otherwise identify them
         if self.transcript and self.transcript.participants:
-            # Extract participant names from the stored participants
             participant_names = [p.name for p in self.transcript.participants if p.name]
             if participant_names:
                 self.logger.info(
                     f"Using {len(participant_names)} known participants from transcript"
                 )
-                builder.set_known_participants(participant_names)
+                participant_name_to_id = {
+                    p.name: p.id
+                    for p in self.transcript.participants
+                    if p.name and p.id
+                }
+                builder.set_known_participants(
+                    participant_names, participant_name_to_id=participant_name_to_id
+                )
             else:
                 self.logger.info(
                     "Participants field exists but is empty, identifying participants"
@@ -63,7 +73,6 @@ class TranscriptFinalSummaryProcessor(Processor):
             self.logger.warning("No summary to output")
             return
 
-        # build the speakermap from the transcript
         speakermap = {}
         if self.transcript:
             speakermap = {
@@ -76,8 +85,6 @@ class TranscriptFinalSummaryProcessor(Processor):
                 speakermap=speakermap,
             )
 
-        # build the transcript as a single string
-        # Replace speaker IDs with actual participant names if available
         text_transcript = []
         unique_speakers = set()
         for topic in self.chunks:
@@ -111,4 +118,9 @@ class TranscriptFinalSummaryProcessor(Processor):
             )
             await self.emit(final_short_summary, name="short_summary")
 
+        if self.builder and self.builder.action_items:
+            action_items = self.builder.action_items.model_dump()
+            action_items = ActionItems(action_items=action_items)
+            await self.emit(action_items, name="action_items")
+
         await self.emit(final_long_summary)

server/reflector/processors/transcript_topic_detector.py

@@ -78,7 +78,11 @@ class TranscriptTopicDetectorProcessor(Processor):
         """
         prompt = TOPIC_PROMPT.format(text=text)
         response = await self.llm.get_structured_response(
-            prompt, [text], TopicResponse, tone_name="Topic analyzer"
+            prompt,
+            [text],
+            TopicResponse,
+            tone_name="Topic analyzer",
+            timeout=settings.LLM_STRUCTURED_RESPONSE_TIMEOUT,
         )
         return response
 

server/reflector/processors/types.py

@@ -264,6 +264,10 @@ class FinalShortSummary(BaseModel):
     duration: float
 
 
+class ActionItems(BaseModel):
+    action_items: dict  # JSON-serializable dict from ActionItemsResponse
+
+
 class FinalTitle(BaseModel):
     title: str
 

server/reflector/settings.py

@@ -77,6 +77,9 @@ class Settings(BaseSettings):
     LLM_PARSE_MAX_RETRIES: int = (
         3  # Max retries for JSON/validation errors (total attempts = retries + 1)
     )
+    LLM_STRUCTURED_RESPONSE_TIMEOUT: int = (
+        300  # Timeout in seconds for structured responses (5 minutes)
+    )
 
     # Diarization
     DIARIZATION_ENABLED: bool = True

server/reflector/video_platforms/daily.py

@@ -181,11 +181,17 @@ class DailyClient(VideoPlatformClient):
         enable_recording_ui: bool,
         user_id: NonEmptyString | None = None,
         is_owner: bool = False,
+        max_recording_duration_seconds: int | None = None,
     ) -> NonEmptyString:
+        start_cloud_recording_opts = None
+        if start_cloud_recording and max_recording_duration_seconds:
+            start_cloud_recording_opts = {"maxDuration": max_recording_duration_seconds}
+
         properties = MeetingTokenProperties(
             room_name=room_name,
             user_id=user_id,
             start_cloud_recording=start_cloud_recording,
+            start_cloud_recording_opts=start_cloud_recording_opts,
             enable_recording_ui=enable_recording_ui,
             is_owner=is_owner,
         )

server/reflector/views/rooms.py

@@ -567,12 +567,19 @@ async def rooms_join_meeting(
 
     if meeting.platform == "daily" and user_id is not None:
         client = create_platform_client(meeting.platform)
+        end_date = meeting.end_date
+        if end_date.tzinfo is None:
+            end_date = end_date.replace(tzinfo=timezone.utc)
+        remaining_seconds = min(
+            3 * 60 * 60, int((end_date - current_time).total_seconds())
+        )
         token = await client.create_meeting_token(
             meeting.room_name,
             start_cloud_recording=meeting.recording_type == "cloud",
             enable_recording_ui=meeting.recording_type == "local",
             user_id=user_id,
             is_owner=user_id == room.user_id,
+            max_recording_duration_seconds=remaining_seconds,
         )
         meeting = meeting.model_copy()
         meeting.room_url = add_query_param(meeting.room_url, "t", token)

server/reflector/views/transcripts.py

@@ -17,6 +17,7 @@ from pydantic import (
 import reflector.auth as auth
 from reflector.db import get_database
 from reflector.db.recordings import recordings_controller
+from reflector.db.rooms import rooms_controller
 from reflector.db.search import (
     DEFAULT_SEARCH_LIMIT,
     SearchLimit,
@@ -473,6 +474,11 @@ async def transcript_get(
 
     is_multitrack = await _get_is_multitrack(transcript)
 
+    room_name = None
+    if transcript.room_id:
+        room = await rooms_controller.get_by_id(transcript.room_id)
+        room_name = room.name if room else None
+
     participants = []
     if transcript.participants:
         user_ids = [p.user_id for p in transcript.participants if p.user_id is not None]
@@ -495,6 +501,7 @@ async def transcript_get(
         "title": transcript.title,
         "short_summary": transcript.short_summary,
         "long_summary": transcript.long_summary,
+        "action_items": transcript.action_items,
         "created_at": transcript.created_at,
         "share_mode": transcript.share_mode,
         "source_language": transcript.source_language,
@@ -503,6 +510,7 @@ async def transcript_get(
         "meeting_id": transcript.meeting_id,
         "source_kind": transcript.source_kind,
         "room_id": transcript.room_id,
+        "room_name": room_name,
         "audio_deleted": transcript.audio_deleted,
         "participants": participants,
     }

server/reflector/worker/app.py

@@ -38,6 +38,10 @@ else:
             "task": "reflector.worker.process.reprocess_failed_recordings",
             "schedule": crontab(hour=5, minute=0),  # Midnight EST
         },
+        "reprocess_failed_daily_recordings": {
+            "task": "reflector.worker.process.reprocess_failed_daily_recordings",
+            "schedule": crontab(hour=5, minute=0),  # Midnight EST
+        },
         "poll_daily_recordings": {
             "task": "reflector.worker.process.poll_daily_recordings",
             "schedule": 180.0,  # Every 3 minutes (configurable lookback window)

server/reflector/worker/process.py

@@ -12,7 +12,7 @@ from celery import shared_task
 from celery.utils.log import get_task_logger
 from pydantic import ValidationError
 
-from reflector.dailyco_api import RecordingResponse
+from reflector.dailyco_api import FinishedRecordingResponse, RecordingResponse
 from reflector.db.daily_participant_sessions import (
     DailyParticipantSession,
     daily_participant_sessions_controller,
@@ -322,16 +322,38 @@ async def poll_daily_recordings():
         )
         return
 
-    recording_ids = [rec.id for rec in api_recordings]
+    finished_recordings: List[FinishedRecordingResponse] = []
+    for rec in api_recordings:
+        finished = rec.to_finished()
+        if finished is None:
+            logger.debug(
+                "Skipping unfinished recording",
+                recording_id=rec.id,
+                room_name=rec.room_name,
+                status=rec.status,
+            )
+            continue
+        finished_recordings.append(finished)
+
+    if not finished_recordings:
+        logger.debug(
+            "No finished recordings found from Daily.co API",
+            total_api_count=len(api_recordings),
+        )
+        return
+
+    recording_ids = [rec.id for rec in finished_recordings]
     existing_recordings = await recordings_controller.get_by_ids(recording_ids)
     existing_ids = {rec.id for rec in existing_recordings}
 
-    missing_recordings = [rec for rec in api_recordings if rec.id not in existing_ids]
+    missing_recordings = [
+        rec for rec in finished_recordings if rec.id not in existing_ids
+    ]
 
     if not missing_recordings:
         logger.debug(
             "All recordings already in DB",
-            api_count=len(api_recordings),
+            api_count=len(finished_recordings),
             existing_count=len(existing_recordings),
         )
         return
@@ -339,7 +361,7 @@ async def poll_daily_recordings():
     logger.info(
         "Found recordings missing from DB",
         missing_count=len(missing_recordings),
-        total_api_count=len(api_recordings),
+        total_api_count=len(finished_recordings),
         existing_count=len(existing_recordings),
     )
 
@@ -649,7 +671,7 @@ async def reprocess_failed_recordings():
     Find recordings in Whereby S3 bucket and check if they have proper transcriptions.
     If not, requeue them for processing.
 
-    Note: Daily.co recordings are processed via webhooks, not this cron job.
+    Note: Daily.co multitrack recordings are handled by reprocess_failed_daily_recordings.
     """
     logger.info("Checking Whereby recordings that need processing or reprocessing")
 
@@ -702,6 +724,103 @@ async def reprocess_failed_recordings():
     return reprocessed_count
 
 
+@shared_task
+@asynctask
+async def reprocess_failed_daily_recordings():
+    """
+    Find Daily.co multitrack recordings in the database and check if they have proper transcriptions.
+    If not, requeue them for processing.
+    """
+    logger.info(
+        "Checking Daily.co multitrack recordings that need processing or reprocessing"
+    )
+
+    if not settings.DAILYCO_STORAGE_AWS_BUCKET_NAME:
+        logger.debug(
+            "DAILYCO_STORAGE_AWS_BUCKET_NAME not configured; skipping Daily recording reprocessing"
+        )
+        return 0
+
+    bucket_name = settings.DAILYCO_STORAGE_AWS_BUCKET_NAME
+    reprocessed_count = 0
+
+    try:
+        multitrack_recordings = (
+            await recordings_controller.get_multitrack_needing_reprocessing(bucket_name)
+        )
+
+        logger.info(
+            "Found multitrack recordings needing reprocessing",
+            count=len(multitrack_recordings),
+            bucket=bucket_name,
+        )
+
+        for recording in multitrack_recordings:
+            if not recording.meeting_id:
+                logger.debug(
+                    "Skipping recording without meeting_id",
+                    recording_id=recording.id,
+                )
+                continue
+
+            meeting = await meetings_controller.get_by_id(recording.meeting_id)
+            if not meeting:
+                logger.warning(
+                    "Meeting not found for recording",
+                    recording_id=recording.id,
+                    meeting_id=recording.meeting_id,
+                )
+                continue
+
+            transcript = None
+            try:
+                transcript = await transcripts_controller.get_by_recording_id(
+                    recording.id
+                )
+            except ValidationError:
+                await transcripts_controller.remove_by_recording_id(recording.id)
+                logger.warning(
+                    "Removed invalid transcript for recording",
+                    recording_id=recording.id,
+                )
+
+            if not recording.track_keys:
+                logger.warning(
+                    "Recording has no track_keys, cannot reprocess",
+                    recording_id=recording.id,
+                )
+                continue
+
+            logger.info(
+                "Queueing Daily recording for reprocessing",
+                recording_id=recording.id,
+                room_name=meeting.room_name,
+                track_count=len(recording.track_keys),
+                transcript_status=transcript.status if transcript else None,
+            )
+
+            process_multitrack_recording.delay(
+                bucket_name=bucket_name,
+                daily_room_name=meeting.room_name,
+                recording_id=recording.id,
+                track_keys=recording.track_keys,
+            )
+            reprocessed_count += 1
+
+    except Exception as e:
+        logger.error(
+            "Error checking Daily multitrack recordings",
+            error=str(e),
+            exc_info=True,
+        )
+
+    logger.info(
+        "Daily reprocessing complete",
+        requeued_count=reprocessed_count,
+    )
+    return reprocessed_count
+
+
 @shared_task
 @asynctask
 async def trigger_daily_reconciliation() -> None:

server/reflector/worker/webhook.py

@@ -123,6 +123,7 @@ async def send_transcript_webhook(
                 "target_language": transcript.target_language,
                 "status": transcript.status,
                 "frontend_url": frontend_url,
+                "action_items": transcript.action_items,
             },
             "room": {
                 "id": room.id,

server/tests/test_llm_retry.py

@@ -1,12 +1,14 @@
 """Tests for LLM parse error recovery using llama-index Workflow"""
 
+from time import monotonic
 from unittest.mock import AsyncMock, MagicMock, patch
 
 import pytest
 from pydantic import BaseModel, Field
-from workflows.errors import WorkflowRuntimeError
+from workflows.errors import WorkflowRuntimeError, WorkflowTimeoutError
 
 from reflector.llm import LLM, LLMParseError, StructuredOutputWorkflow
+from reflector.utils.retry import RetryException
 
 
 class TestResponse(BaseModel):
@@ -355,3 +357,132 @@ class TestNetworkErrorRetries:
 
             # Only called once - Workflow doesn't retry network errors
             assert mock_settings.llm.acomplete.call_count == 1
+
+
+class TestWorkflowTimeoutRetry:
+    """Test timeout retry mechanism in get_structured_response"""
+
+    @pytest.mark.asyncio
+    async def test_timeout_retry_succeeds_on_retry(self, test_settings):
+        """Test that WorkflowTimeoutError triggers retry and succeeds"""
+        llm = LLM(settings=test_settings, temperature=0.4, max_tokens=100)
+
+        call_count = {"count": 0}
+
+        async def workflow_run_side_effect(*args, **kwargs):
+            call_count["count"] += 1
+            if call_count["count"] == 1:
+                raise WorkflowTimeoutError("Operation timed out after 120 seconds")
+            return {
+                "success": TestResponse(
+                    title="Test", summary="Summary", confidence=0.95
+                )
+            }
+
+        with (
+            patch("reflector.llm.StructuredOutputWorkflow") as mock_workflow_class,
+            patch("reflector.llm.TreeSummarize") as mock_summarize,
+            patch("reflector.llm.Settings") as mock_settings,
+        ):
+            mock_workflow = MagicMock()
+            mock_workflow.run = AsyncMock(side_effect=workflow_run_side_effect)
+            mock_workflow_class.return_value = mock_workflow
+
+            mock_summarizer = MagicMock()
+            mock_summarize.return_value = mock_summarizer
+            mock_summarizer.aget_response = AsyncMock(return_value="Some analysis")
+            mock_settings.llm.acomplete = AsyncMock(
+                return_value=make_completion_response(
+                    '{"title": "Test", "summary": "Summary", "confidence": 0.95}'
+                )
+            )
+
+            result = await llm.get_structured_response(
+                prompt="Test prompt", texts=["Test text"], output_cls=TestResponse
+            )
+
+            assert result.title == "Test"
+            assert result.summary == "Summary"
+            assert call_count["count"] == 2
+
+    @pytest.mark.asyncio
+    async def test_timeout_retry_exhausts_after_max_attempts(self, test_settings):
+        """Test that timeout retry stops after max attempts"""
+        llm = LLM(settings=test_settings, temperature=0.4, max_tokens=100)
+
+        call_count = {"count": 0}
+
+        async def workflow_run_side_effect(*args, **kwargs):
+            call_count["count"] += 1
+            raise WorkflowTimeoutError("Operation timed out after 120 seconds")
+
+        with (
+            patch("reflector.llm.StructuredOutputWorkflow") as mock_workflow_class,
+            patch("reflector.llm.TreeSummarize") as mock_summarize,
+            patch("reflector.llm.Settings") as mock_settings,
+        ):
+            mock_workflow = MagicMock()
+            mock_workflow.run = AsyncMock(side_effect=workflow_run_side_effect)
+            mock_workflow_class.return_value = mock_workflow
+
+            mock_summarizer = MagicMock()
+            mock_summarize.return_value = mock_summarizer
+            mock_summarizer.aget_response = AsyncMock(return_value="Some analysis")
+            mock_settings.llm.acomplete = AsyncMock(
+                return_value=make_completion_response(
+                    '{"title": "Test", "summary": "Summary", "confidence": 0.95}'
+                )
+            )
+
+            with pytest.raises(RetryException, match="Retry attempts exceeded"):
+                await llm.get_structured_response(
+                    prompt="Test prompt", texts=["Test text"], output_cls=TestResponse
+                )
+
+            assert call_count["count"] == 3
+
+    @pytest.mark.asyncio
+    async def test_timeout_retry_with_backoff(self, test_settings):
+        """Test that exponential backoff is applied between retries"""
+        llm = LLM(settings=test_settings, temperature=0.4, max_tokens=100)
+
+        call_times = []
+
+        async def workflow_run_side_effect(*args, **kwargs):
+            call_times.append(monotonic())
+            if len(call_times) < 3:
+                raise WorkflowTimeoutError("Operation timed out after 120 seconds")
+            return {
+                "success": TestResponse(
+                    title="Test", summary="Summary", confidence=0.95
+                )
+            }
+
+        with (
+            patch("reflector.llm.StructuredOutputWorkflow") as mock_workflow_class,
+            patch("reflector.llm.TreeSummarize") as mock_summarize,
+            patch("reflector.llm.Settings") as mock_settings,
+        ):
+            mock_workflow = MagicMock()
+            mock_workflow.run = AsyncMock(side_effect=workflow_run_side_effect)
+            mock_workflow_class.return_value = mock_workflow
+
+            mock_summarizer = MagicMock()
+            mock_summarize.return_value = mock_summarizer
+            mock_summarizer.aget_response = AsyncMock(return_value="Some analysis")
+            mock_settings.llm.acomplete = AsyncMock(
+                return_value=make_completion_response(
+                    '{"title": "Test", "summary": "Summary", "confidence": 0.95}'
+                )
+            )
+
+            result = await llm.get_structured_response(
+                prompt="Test prompt", texts=["Test text"], output_cls=TestResponse
+            )
+
+            assert result.title == "Test"
+            if len(call_times) >= 2:
+                time_between_calls = call_times[1] - call_times[0]
+                assert (
+                    time_between_calls >= 1.5
+                ), f"Expected ~2s backoff, got {time_between_calls}s"

server/tests/test_pipeline_main_file.py

@@ -266,7 +266,11 @@ async def mock_summary_processor():
         # When flush is called, simulate summary generation by calling the callbacks
         async def flush_with_callback():
             mock_summary.flush_called = True
-            from reflector.processors.types import FinalLongSummary, FinalShortSummary
+            from reflector.processors.types import (
+                ActionItems,
+                FinalLongSummary,
+                FinalShortSummary,
+            )
 
             if hasattr(mock_summary, "_callback"):
                 await mock_summary._callback(
@@ -276,12 +280,19 @@ async def mock_summary_processor():
                 await mock_summary._on_short_summary(
                     FinalShortSummary(short_summary="Test short summary", duration=10.0)
                 )
+            if hasattr(mock_summary, "_on_action_items"):
+                await mock_summary._on_action_items(
+                    ActionItems(action_items={"test": "action item"})
+                )
 
         mock_summary.flush = flush_with_callback
 
-        def init_with_callback(transcript=None, callback=None, on_short_summary=None):
+        def init_with_callback(
+            transcript=None, callback=None, on_short_summary=None, on_action_items=None
+        ):
             mock_summary._callback = callback
             mock_summary._on_short_summary = on_short_summary
+            mock_summary._on_action_items = on_action_items
             return mock_summary
 
         mock_summary_class.side_effect = init_with_callback

server/tests/test_transcripts.py

@@ -1,5 +1,8 @@
 import pytest
 
+from reflector.db.rooms import rooms_controller
+from reflector.db.transcripts import transcripts_controller
+
 
 @pytest.mark.asyncio
 async def test_transcript_create(client):
@@ -182,3 +185,51 @@ async def test_transcript_mark_reviewed(authenticated_client, client):
     response = await client.get(f"/transcripts/{tid}")
     assert response.status_code == 200
     assert response.json()["reviewed"] is True
+
+
+@pytest.mark.asyncio
+async def test_transcript_get_returns_room_name(authenticated_client, client):
+    """Test that getting a transcript returns its room_name when linked to a room."""
+    # Create a room
+    room = await rooms_controller.add(
+        name="test-room-for-transcript",
+        user_id="test-user",
+        zulip_auto_post=False,
+        zulip_stream="",
+        zulip_topic="",
+        is_locked=False,
+        room_mode="normal",
+        recording_type="cloud",
+        recording_trigger="automatic-2nd-participant",
+        is_shared=False,
+        webhook_url="",
+        webhook_secret="",
+    )
+
+    # Create a transcript linked to the room
+    transcript = await transcripts_controller.add(
+        name="transcript-with-room",
+        source_kind="file",
+        room_id=room.id,
+    )
+
+    # Get the transcript and verify room_name is returned
+    response = await client.get(f"/transcripts/{transcript.id}")
+    assert response.status_code == 200
+    assert response.json()["room_id"] == room.id
+    assert response.json()["room_name"] == "test-room-for-transcript"
+
+
+@pytest.mark.asyncio
+async def test_transcript_get_returns_null_room_name_when_no_room(
+    authenticated_client, client
+):
+    """Test that room_name is null when transcript has no room."""
+    response = await client.post("/transcripts", json={"name": "no-room-transcript"})
+    assert response.status_code == 200
+    tid = response.json()["id"]
+
+    response = await client.get(f"/transcripts/{tid}")
+    assert response.status_code == 200
+    assert response.json()["room_id"] is None
+    assert response.json()["room_name"] is None

www/app/(auth)/userInfo.tsx

@@ -13,9 +13,12 @@ export default function UserInfo() {
     <Spinner size="xs" className="mx-3" />
   ) : !isAuthenticated && !isRefreshing ? (
     <Link
-      href="/"
+      href="#"
       className="font-light px-2"
-      onClick={() => auth.signIn("authentik")}
+      onClick={(e) => {
+        e.preventDefault();
+        auth.signIn("authentik");
+      }}
     >
       Log in
     </Link>

www/app/[roomName]/components/DailyRoom.tsx

@@ -105,7 +105,19 @@ export default function DailyRoom({ meeting }: DailyRoomProps) {
           }
         });
 
-        await frame.join({ url: roomUrl });
+        await frame.join({
+          url: roomUrl,
+          sendSettings: {
+            video: {
+              // Optimize bandwidth for camera video
+              // allowAdaptiveLayers automatically adjusts quality based on network conditions
+              allowAdaptiveLayers: true,
+              // Use bandwidth-optimized preset as fallback for browsers without adaptive support
+              maxQuality: "medium",
+            },
+            // Note: screenVideo intentionally not configured to preserve full quality for screen shares
+          },
+        });
       } catch (error) {
         console.error("Error creating Daily frame:", error);
       }

www/package.json

@@ -31,7 +31,7 @@
     "ioredis": "^5.7.0",
     "jest-worker": "^29.6.2",
     "lucide-react": "^0.525.0",
-    "next": "^15.5.7",
+    "next": "^15.5.9",
     "next-auth": "^4.24.7",
     "next-themes": "^0.4.6",
     "nuqs": "^2.4.3",

www/pnpm-lock.yaml

@@ -27,7 +27,7 @@ importers:
         version: 0.2.3(@fortawesome/fontawesome-svg-core@6.7.2)(react@18.3.1)
       "@sentry/nextjs":
         specifier: ^10.11.0
-        version: 10.11.0(@opentelemetry/context-async-hooks@2.1.0(@opentelemetry/api@1.9.0))(@opentelemetry/core@2.1.0(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@2.1.0(@opentelemetry/api@1.9.0))(next@15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react@18.3.1)(webpack@5.101.3)
+        version: 10.11.0(@opentelemetry/context-async-hooks@2.1.0(@opentelemetry/api@1.9.0))(@opentelemetry/core@2.1.0(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@2.1.0(@opentelemetry/api@1.9.0))(next@15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react@18.3.1)(webpack@5.101.3)
       "@tanstack/react-query":
         specifier: ^5.85.9
         version: 5.85.9(react@18.3.1)
@@ -62,17 +62,17 @@ importers:
         specifier: ^0.525.0
         version: 0.525.0(react@18.3.1)
       next:
-        specifier: ^15.5.7
+        specifier: ^15.5.9
-        version: 15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
+        version: 15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
       next-auth:
         specifier: ^4.24.7
-        version: 4.24.11(next@15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
+        version: 4.24.11(next@15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
       next-themes:
         specifier: ^0.4.6
         version: 0.4.6(react-dom@18.3.1(react@18.3.1))(react@18.3.1)
       nuqs:
         specifier: ^2.4.3
-        version: 2.4.3(next@15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react@18.3.1)
+        version: 2.4.3(next@15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react@18.3.1)
       openapi-fetch:
         specifier: ^0.14.0
         version: 0.14.0
@@ -509,6 +509,12 @@ packages:
         integrity: sha512-++LApOtY0pEEz1zrd9vy1/zXVaVJJ/EbAF3u0fXIzPJEDtnITsBGbbK0EkM72amhl/R5b+5xx0Y/QhcVOpuulg==,
       }
 
+  "@emnapi/runtime@1.7.1":
+    resolution:
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+      }
+
   "@emnapi/wasi-threads@1.0.4":
     resolution:
       {
@@ -758,189 +764,213 @@ packages:
       }
     engines: { node: ">=18.18" }
 
-  "@img/sharp-darwin-arm64@0.34.3":
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+      }
+    engines: { node: ">=18" }
+
+  "@img/sharp-darwin-arm64@0.34.5":
+    resolution:
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     engines: { node: ^18.17.0 || ^20.3.0 || >=21.0.0 }
     cpu: [arm64]
     os: [darwin]
 
-  "@img/sharp-darwin-x64@0.34.3":
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     os: [darwin]
 
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     os: [win32]
 
-  "@img/sharp-win32-x64@0.34.3":
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@@ -1184,10 +1214,10 @@ packages:
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@@ -6863,10 +6880,10 @@ packages:
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       react-dom: ^16.8 || ^17 || ^18 || ^19 || ^19.0.0-rc
 
-  next@15.5.7:
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     hasBin: true
@@ -7870,10 +7887,10 @@ packages:
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     engines: { node: ">= 10.13.0" }
 
@@ -7905,6 +7922,14 @@ packages:
     engines: { node: ">=10" }
     hasBin: true
 
+  semver@7.7.3:
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+      }
+    engines: { node: ">=10" }
+    hasBin: true
+
   serialize-javascript@6.0.2:
     resolution:
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@@ -7932,10 +7957,10 @@ packages:
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     engines: { node: ">= 0.4" }
 
-  sharp@0.34.3:
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@@ -8006,12 +8031,6 @@ packages:
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   slash@3.0.0:
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@@ -8325,17 +8344,17 @@ packages:
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     hasBin: true
 
-  tapable@2.2.3:
+  tapable@2.3.0:
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     engines: { node: ">=6" }
 
-  terser-webpack-plugin@5.3.14:
+  terser-webpack-plugin@5.3.16:
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     peerDependencies:
@@ -8351,10 +8370,10 @@ packages:
       uglify-js:
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-  terser@5.44.0:
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     engines: { node: ">=10" }
     hasBin: true
@@ -8633,6 +8652,12 @@ packages:
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       }
 
+  undici-types@7.16.0:
+    resolution:
+      {
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+      }
+
   unified@11.0.5:
     resolution:
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@@ -9365,6 +9390,11 @@ snapshots:
       tslib: 2.8.1
     optional: true
 
+  "@emnapi/runtime@1.7.1":
+    dependencies:
+      tslib: 2.8.1
+    optional: true
+
   "@emnapi/wasi-threads@1.0.4":
     dependencies:
       tslib: 2.8.1
@@ -9533,90 +9563,101 @@ snapshots:
 
   "@humanwhocodes/retry@0.4.3": {}
 
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+  "@img/colour@1.0.0":
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+
+  "@img/sharp-darwin-arm64@0.34.5":
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     optional: true
 
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     optionalDependencies:
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+      "@img/sharp-libvips-darwin-x64": 1.2.4
     optional: true
 
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-  "@img/sharp-libvips-darwin-x64@1.2.0":
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     optional: true
 
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     optional: true
 
-  "@img/sharp-libvips-linux-arm@1.2.0":
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     optional: true
 
-  "@img/sharp-libvips-linux-ppc64@1.2.0":
+  "@img/sharp-libvips-linux-ppc64@1.2.4":
     optional: true
 
-  "@img/sharp-libvips-linux-s390x@1.2.0":
+  "@img/sharp-libvips-linux-riscv64@1.2.4":
     optional: true
 
-  "@img/sharp-libvips-linux-x64@1.2.0":
+  "@img/sharp-libvips-linux-s390x@1.2.4":
     optional: true
 
-  "@img/sharp-libvips-linuxmusl-arm64@1.2.0":
+  "@img/sharp-libvips-linux-x64@1.2.4":
     optional: true
 
-  "@img/sharp-libvips-linuxmusl-x64@1.2.0":
+  "@img/sharp-libvips-linuxmusl-arm64@1.2.4":
     optional: true
 
-  "@img/sharp-linux-arm64@0.34.3":
+  "@img/sharp-libvips-linuxmusl-x64@1.2.4":
+    optional: true
+
+  "@img/sharp-linux-arm64@0.34.5":
     optionalDependencies:
-      "@img/sharp-libvips-linux-arm64": 1.2.0
+      "@img/sharp-libvips-linux-arm64": 1.2.4
     optional: true
 
-  "@img/sharp-linux-arm@0.34.3":
+  "@img/sharp-linux-arm@0.34.5":
     optionalDependencies:
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+      "@img/sharp-libvips-linux-arm": 1.2.4
     optional: true
 
-  "@img/sharp-linux-ppc64@0.34.3":
+  "@img/sharp-linux-ppc64@0.34.5":
     optionalDependencies:
-      "@img/sharp-libvips-linux-ppc64": 1.2.0
+      "@img/sharp-libvips-linux-ppc64": 1.2.4
     optional: true
 
-  "@img/sharp-linux-s390x@0.34.3":
+  "@img/sharp-linux-riscv64@0.34.5":
     optionalDependencies:
-      "@img/sharp-libvips-linux-s390x": 1.2.0
+      "@img/sharp-libvips-linux-riscv64": 1.2.4
     optional: true
 
-  "@img/sharp-linux-x64@0.34.3":
+  "@img/sharp-linux-s390x@0.34.5":
     optionalDependencies:
-      "@img/sharp-libvips-linux-x64": 1.2.0
+      "@img/sharp-libvips-linux-s390x": 1.2.4
     optional: true
 
-  "@img/sharp-linuxmusl-arm64@0.34.3":
+  "@img/sharp-linux-x64@0.34.5":
     optionalDependencies:
-      "@img/sharp-libvips-linuxmusl-arm64": 1.2.0
+      "@img/sharp-libvips-linux-x64": 1.2.4
     optional: true
 
-  "@img/sharp-linuxmusl-x64@0.34.3":
+  "@img/sharp-linuxmusl-arm64@0.34.5":
     optionalDependencies:
-      "@img/sharp-libvips-linuxmusl-x64": 1.2.0
+      "@img/sharp-libvips-linuxmusl-arm64": 1.2.4
     optional: true
 
-  "@img/sharp-wasm32@0.34.3":
+  "@img/sharp-linuxmusl-x64@0.34.5":
+    optionalDependencies:
+      "@img/sharp-libvips-linuxmusl-x64": 1.2.4
+    optional: true
+
+  "@img/sharp-wasm32@0.34.5":
     dependencies:
-      "@emnapi/runtime": 1.4.5
+      "@emnapi/runtime": 1.7.1
     optional: true
 
-  "@img/sharp-win32-arm64@0.34.3":
+  "@img/sharp-win32-arm64@0.34.5":
     optional: true
 
-  "@img/sharp-win32-ia32@0.34.3":
+  "@img/sharp-win32-ia32@0.34.5":
     optional: true
 
-  "@img/sharp-win32-x64@0.34.3":
+  "@img/sharp-win32-x64@0.34.5":
     optional: true
 
   "@internationalized/date@3.8.2":
@@ -9877,7 +9918,7 @@ snapshots:
       "@tybys/wasm-util": 0.10.0
     optional: true
 
-  "@next/env@15.5.7": {}
+  "@next/env@15.5.9": {}
 
   "@next/eslint-plugin-next@15.5.3":
     dependencies:
@@ -10684,7 +10725,7 @@ snapshots:
 
   "@sentry/core@8.55.0": {}
 
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+  "@sentry/nextjs@10.11.0(@opentelemetry/context-async-hooks@2.1.0(@opentelemetry/api@1.9.0))(@opentelemetry/core@2.1.0(@opentelemetry/api@1.9.0))(@opentelemetry/sdk-trace-base@2.1.0(@opentelemetry/api@1.9.0))(next@15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react@18.3.1)(webpack@5.101.3)":
     dependencies:
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       "@opentelemetry/semantic-conventions": 1.37.0
@@ -10698,7 +10739,7 @@ snapshots:
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       "@sentry/webpack-plugin": 4.3.0(webpack@5.101.3)
       chalk: 3.0.0
-      next: 15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
+      next: 15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
       resolve: 1.22.8
       rollup: 4.50.1
       stacktrace-parser: 0.1.11
@@ -10829,7 +10870,7 @@ snapshots:
       "@tanstack/query-core": 5.85.9
       react: 18.3.1
 
-  "@tsconfig/node10@1.0.11":
+  "@tsconfig/node10@1.0.12":
     optional: true
 
   "@tsconfig/node12@1.0.11":
@@ -10941,9 +10982,9 @@ snapshots:
     dependencies:
       undici-types: 7.10.0
 
-  "@types/node@24.3.1":
+  "@types/node@25.0.2":
     dependencies:
-      undici-types: 7.10.0
+      undici-types: 7.16.0
 
   "@types/parse-json@4.0.2": {}
 
@@ -12127,6 +12168,8 @@ snapshots:
 
   caniuse-lite@1.0.30001734: {}
 
+  caniuse-lite@1.0.30001760: {}
+
   ccount@2.0.1: {}
 
   chalk@3.0.0:
@@ -12205,18 +12248,6 @@ snapshots:
 
   color-name@1.1.4: {}
 
-  color-string@1.9.1:
-    dependencies:
-      color-name: 1.1.4
-      simple-swizzle: 0.2.2
-    optional: true
-
-  color@4.2.3:
-    dependencies:
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-      color-string: 1.9.1
-    optional: true
-
   colorette@1.4.0: {}
 
   combined-stream@1.0.8:
@@ -12335,7 +12366,7 @@ snapshots:
   detect-libc@1.0.3:
     optional: true
 
-  detect-libc@2.0.4:
+  detect-libc@2.1.2:
     optional: true
 
   detect-newline@3.1.0: {}
@@ -12405,10 +12436,10 @@ snapshots:
 
   engine.io-parser@5.2.3: {}
 
-  enhanced-resolve@5.18.3:
+  enhanced-resolve@5.18.4:
     dependencies:
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-      tapable: 2.2.3
+      tapable: 2.3.0
 
   err-code@3.0.1: {}
 
@@ -13147,9 +13178,6 @@ snapshots:
 
   is-arrayish@0.2.1: {}
 
-  is-arrayish@0.3.2:
-    optional: true
-
   is-async-function@2.1.1:
     dependencies:
       async-function: 1.0.0
@@ -13629,7 +13657,7 @@ snapshots:
 
   jest-worker@27.5.1:
     dependencies:
-      "@types/node": 24.3.1
+      "@types/node": 25.0.2
       merge-stream: 2.0.0
       supports-color: 8.1.1
 
@@ -13738,7 +13766,7 @@ snapshots:
 
   lines-and-columns@1.2.4: {}
 
-  loader-runner@4.3.0: {}
+  loader-runner@4.3.1: {}
 
   locate-path@5.0.0:
     dependencies:
@@ -14093,13 +14121,13 @@ snapshots:
 
   neo-async@2.6.2: {}
 
-  next-auth@4.24.11(next@15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
+  next-auth@4.24.11(next@15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react-dom@18.3.1(react@18.3.1))(react@18.3.1):
     dependencies:
       "@babel/runtime": 7.28.2
       "@panva/hkdf": 1.2.1
       cookie: 0.7.2
       jose: 4.15.9
-      next: 15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
+      next: 15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
       oauth: 0.9.15
       openid-client: 5.7.1
       preact: 10.27.0
@@ -14113,11 +14141,11 @@ snapshots:
       react: 18.3.1
       react-dom: 18.3.1(react@18.3.1)
 
-  next@15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0):
+  next@15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0):
     dependencies:
-      "@next/env": 15.5.7
+      "@next/env": 15.5.9
       "@swc/helpers": 0.5.15
-      caniuse-lite: 1.0.30001734
+      caniuse-lite: 1.0.30001760
       postcss: 8.4.31
       react: 18.3.1
       react-dom: 18.3.1(react@18.3.1)
@@ -14133,7 +14161,7 @@ snapshots:
       "@next/swc-win32-x64-msvc": 15.5.7
       "@opentelemetry/api": 1.9.0
       sass: 1.90.0
-      sharp: 0.34.3
+      sharp: 0.34.5
     transitivePeerDependencies:
       - "@babel/core"
       - babel-plugin-macros
@@ -14159,12 +14187,12 @@ snapshots:
     dependencies:
       path-key: 3.1.1
 
-  nuqs@2.4.3(next@15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react@18.3.1):
+  nuqs@2.4.3(next@15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0))(react@18.3.1):
     dependencies:
       mitt: 3.0.1
       react: 18.3.1
     optionalDependencies:
-      next: 15.5.7(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
+      next: 15.5.9(@babel/core@7.28.3)(@opentelemetry/api@1.9.0)(babel-plugin-macros@3.1.0)(react-dom@18.3.1(react@18.3.1))(react@18.3.1)(sass@1.90.0)
 
   oauth@0.9.15: {}
 
@@ -14734,7 +14762,7 @@ snapshots:
     dependencies:
       loose-envify: 1.4.0
 
-  schema-utils@4.3.2:
+  schema-utils@4.3.3:
     dependencies:
       "@types/json-schema": 7.0.15
       ajv: 8.17.1
@@ -14749,6 +14777,9 @@ snapshots:
 
   semver@7.7.2: {}
 
+  semver@7.7.3:
+    optional: true
+
   serialize-javascript@6.0.2:
     dependencies:
       randombytes: 2.1.0
@@ -14775,34 +14806,36 @@ snapshots:
       es-errors: 1.3.0
       es-object-atoms: 1.1.1
 
-  sharp@0.34.3:
+  sharp@0.34.5:
     dependencies:
-      color: 4.2.3
+      "@img/colour": 1.0.0
-      detect-libc: 2.0.4
+      detect-libc: 2.1.2
-      semver: 7.7.2
+      semver: 7.7.3
     optionalDependencies:
-      "@img/sharp-darwin-arm64": 0.34.3
+      "@img/sharp-darwin-arm64": 0.34.5
-      "@img/sharp-darwin-x64": 0.34.3
+      "@img/sharp-darwin-x64": 0.34.5
-      "@img/sharp-libvips-darwin-arm64": 1.2.0
+      "@img/sharp-libvips-darwin-arm64": 1.2.4
-      "@img/sharp-libvips-darwin-x64": 1.2.0
+      "@img/sharp-libvips-darwin-x64": 1.2.4
-      "@img/sharp-libvips-linux-arm": 1.2.0
+      "@img/sharp-libvips-linux-arm": 1.2.4
-      "@img/sharp-libvips-linux-arm64": 1.2.0
+      "@img/sharp-libvips-linux-arm64": 1.2.4
-      "@img/sharp-libvips-linux-ppc64": 1.2.0
+      "@img/sharp-libvips-linux-ppc64": 1.2.4
-      "@img/sharp-libvips-linux-s390x": 1.2.0
+      "@img/sharp-libvips-linux-riscv64": 1.2.4
-      "@img/sharp-libvips-linux-x64": 1.2.0
+      "@img/sharp-libvips-linux-s390x": 1.2.4
-      "@img/sharp-libvips-linuxmusl-arm64": 1.2.0
+      "@img/sharp-libvips-linux-x64": 1.2.4
-      "@img/sharp-libvips-linuxmusl-x64": 1.2.0
+      "@img/sharp-libvips-linuxmusl-arm64": 1.2.4
-      "@img/sharp-linux-arm": 0.34.3
+      "@img/sharp-libvips-linuxmusl-x64": 1.2.4
-      "@img/sharp-linux-arm64": 0.34.3
+      "@img/sharp-linux-arm": 0.34.5
-      "@img/sharp-linux-ppc64": 0.34.3
+      "@img/sharp-linux-arm64": 0.34.5
-      "@img/sharp-linux-s390x": 0.34.3
+      "@img/sharp-linux-ppc64": 0.34.5
-      "@img/sharp-linux-x64": 0.34.3
+      "@img/sharp-linux-riscv64": 0.34.5
-      "@img/sharp-linuxmusl-arm64": 0.34.3
+      "@img/sharp-linux-s390x": 0.34.5
-      "@img/sharp-linuxmusl-x64": 0.34.3
+      "@img/sharp-linux-x64": 0.34.5
-      "@img/sharp-wasm32": 0.34.3
+      "@img/sharp-linuxmusl-arm64": 0.34.5
-      "@img/sharp-win32-arm64": 0.34.3
+      "@img/sharp-linuxmusl-x64": 0.34.5
-      "@img/sharp-win32-ia32": 0.34.3
+      "@img/sharp-wasm32": 0.34.5
-      "@img/sharp-win32-x64": 0.34.3
+      "@img/sharp-win32-arm64": 0.34.5
+      "@img/sharp-win32-ia32": 0.34.5
+      "@img/sharp-win32-x64": 0.34.5
     optional: true
 
   shebang-command@2.0.0:
@@ -14857,11 +14890,6 @@ snapshots:
     transitivePeerDependencies:
       - supports-color
 
-  simple-swizzle@0.2.2:
-    dependencies:
-      is-arrayish: 0.3.2
-    optional: true
-
   slash@3.0.0: {}
 
   socket.io-client@4.7.2:
@@ -15086,18 +15114,18 @@ snapshots:
     transitivePeerDependencies:
       - ts-node
 
-  tapable@2.2.3: {}
+  tapable@2.3.0: {}
 
-  terser-webpack-plugin@5.3.14(webpack@5.101.3):
+  terser-webpack-plugin@5.3.16(webpack@5.101.3):
     dependencies:
       "@jridgewell/trace-mapping": 0.3.31
       jest-worker: 27.5.1
-      schema-utils: 4.3.2
+      schema-utils: 4.3.3
       serialize-javascript: 6.0.2
-      terser: 5.44.0
+      terser: 5.44.1
       webpack: 5.101.3
 
-  terser@5.44.0:
+  terser@5.44.1:
     dependencies:
       "@jridgewell/source-map": 0.3.11
       acorn: 8.15.0
@@ -15164,7 +15192,7 @@ snapshots:
   ts-node@10.9.1(@types/node@24.2.1)(typescript@5.9.2):
     dependencies:
       "@cspotcode/source-map-support": 0.8.1
-      "@tsconfig/node10": 1.0.11
+      "@tsconfig/node10": 1.0.12
       "@tsconfig/node12": 1.0.11
       "@tsconfig/node14": 1.0.3
       "@tsconfig/node16": 1.0.4
@@ -15274,6 +15302,8 @@ snapshots:
 
   undici-types@7.10.0: {}
 
+  undici-types@7.16.0: {}
+
   unified@11.0.5:
     dependencies:
       "@types/unist": 3.0.3
@@ -15427,19 +15457,19 @@ snapshots:
       acorn-import-phases: 1.0.4(acorn@8.15.0)
       browserslist: 4.25.2
       chrome-trace-event: 1.0.4
-      enhanced-resolve: 5.18.3
+      enhanced-resolve: 5.18.4
       es-module-lexer: 1.7.0
       eslint-scope: 5.1.1
       events: 3.3.0
       glob-to-regexp: 0.4.1
       graceful-fs: 4.2.11
       json-parse-even-better-errors: 2.3.1
-      loader-runner: 4.3.0
+      loader-runner: 4.3.1
       mime-types: 2.1.35
       neo-async: 2.6.2
-      schema-utils: 4.3.2
+      schema-utils: 4.3.3
-      tapable: 2.2.3
+      tapable: 2.3.0
-      terser-webpack-plugin: 5.3.14(webpack@5.101.3)
+      terser-webpack-plugin: 5.3.16(webpack@5.101.3)
       watchpack: 2.4.4
       webpack-sources: 3.3.3
     transitivePeerDependencies: