The cached payload is the indexing pipeline's embeddings (markdown is
chunked then embedded), so "embedding cache" names the expensive output
directly and removes the "index" ambiguity (DB index vs vector index vs
indexing phase). Renames the service, settings, eligibility, eviction
task, metrics, config flags (INDEX_CACHE_* -> EMBEDDING_CACHE_*), object
prefix, and the table (index_cache_embedding_sets -> embedding_cache_sets)
with its constraint and indexes. Migration 161 renamed accordingly.
- Updated environment variables and - configurations for credit purchases via Stripe, replacing legacy page pack system.
- Introduced auto-reload feature for credit top-ups and modified database models to track credit transactions.
- Updated notification system to handle insufficient credits and auto-reload failures.
- Adjusted API routes and schemas to reflect changes in credit management.
- Replaced environment variable usage with a centralized configuration system in multiple modules, including `celery_app`, `agent_cache_store`, `sandbox`, `file_storage`, and `connector_service`.
- Enhanced maintainability and readability by sourcing configuration values from the `config` module instead of directly from environment variables.
- Updated relevant settings to ensure consistent access to configuration values across the application.
- Added a new Celery task for indexing non-markdown attachments.
- Enhanced the Obsidian plugin schema to support binary attachments.
- Updated routes to enqueue binary attachments for background processing.
- Improved metadata handling for binary attachments during indexing.
- Added tests for binary attachment processing and validation.
- Added support for multiple queues in Celery worker configuration.
- Modified connector deletion to handle documents inline instead of using a background task.
- Updated response messages for document creation and connector deletion to reflect new processing status.
- Removed the obsolete connector deletion Celery task file.
- Updated the document saving endpoint to trigger reindexing after saving.
- Introduced a new Celery task for reindexing documents.
- Refactored the editor page to reflect the changes in the API endpoint and method.
- Increased task time limits in celery_app.py for longer processing times.
- Enhanced pagination logic in NotionHistoryConnector to handle large result sets.
- Implemented batch commits every 10 documents across various indexers (Airtable, ClickUp, Confluence, Discord, GitHub, Google Calendar, Gmail, JIRA, Linear, Luma, Notion, Slack) to improve performance and reduce database load.
- Updated final commit logging for clarity on total documents processed.
