# fn-1.3 LLM streaming integration

## Description
TBD

## Acceptance
- [ ] TBD

## Done summary
- Added LLM streaming integration to transcript chat WebSocket endpoint
- Configured LLM with temperature 0.7 using llama-index Settings
- Built system message with WebVTT transcript context (15k char limit)
- Implemented conversation history management with ChatMessage objects
- Stream LLM responses using Settings.llm.astream_chat()
- Send tokens incrementally via WebSocket 'token' messages
- Added 'done' message after streaming completes
- Error handling with 'error' message type

Verification:
- Code matches task spec requirements
- WebSocket message protocol implemented (message/token/done/error)
- Route registered in app.py
## Evidence
- Commits: ae85f5d3
- Tests:
- PRs: