Embedding:
- Persist embedding_max_tokens. It was dropped when saving the provider config
and always reset to the 8192 default, so self-hosted models with a smaller
limit kept getting rejected.
- Split embedding requests to stay under the provider's item and token caps. A
large snippet or URL import used to go in one request, hit the cap, fail, and
get retried every minute forever.
- Skip blank chunks. An empty input string makes the API reject the whole batch.
- Add the tiktoken tokenizer (cl100k_base) with tests for token counting.
Agent prompt:
- Move contact fields, the conversation subject, and custom attributes out of
the system prompt and into a delimited user-role block, so a crafted name or
subject can't act as an instruction.
Frontend:
- Switch the primary and sidebar colors to a green theme.
- Show a "summarizing" info toast while the AI summary runs, and add an info
toast variant.
- Make the snippet content box taller and the snippet dialog wider.
- Drop a hardcoded dark hover color on the scroll-to-bottom button.
feat: Add HTTP utility functions for trusted origin checks
feat: Implement typing status broadcasting for live chat clients and agents.
feat: Add support for signed URLs in media manager
fix: Update database migration to handle duplicate visitors with same email address.
feat: Add conversation subscription and typing message models for WebSocket communication
feat: Implement conversation subscription management in WebSocket hub this is used for broadcasting typing indicator.
feat: Revamp widget JavaScript to improve mobile responsiveness and show unread messages if any.
Abhinav Raut