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- Add background_information field to Room database table and model - Create database migration for the new field - Update API schemas (CreateRoom, UpdateRoom) to handle background_information - Integrate room context into AI summarization prompts - Add background_information field to frontend room form - Update TypeScript types from regenerated OpenAPI spec The background information will be used to provide context for AI-generated summaries, helping create more appropriate and relevant meeting summaries. 🤖 Generated with [opencode](https://opencode.ai) Co-Authored-By: opencode <noreply@opencode.ai>
AWS S3/SQS usage clarification
Whereby.com uploads recordings directly to our S3 bucket when meetings end.
SQS Queue (AWS_PROCESS_RECORDING_QUEUE_URL)
Filled by: AWS S3 Event Notifications
The S3 bucket is configured to send notifications to our SQS queue when new objects are created. This is standard AWS infrastructure - not in our codebase.
AWS S3 → SQS Event Configuration:
- Event Type: s3:ObjectCreated:*
- Filter: *.mp4 files
- Destination: Our SQS queue
Our System's Role
Polls SQS every 60 seconds via /server/reflector/worker/process.py:24-62:
Every 60 seconds, check for new recordings
sqs = boto3.client("sqs", ...) response = sqs.receive_message(QueueUrl=queue_url, ...)