Task 3: LLM Streaming Integration
- Import Settings, ChatMessage, MessageRole from llama-index
- Configure LLM with temperature 0.7 on connection
- Build system message with WebVTT transcript context (max 15k chars)
- Initialize conversation history with system message
- Handle 'message' type from client to trigger LLM streaming
- Stream LLM response using Settings.llm.astream_chat()
- Send tokens incrementally via 'token' messages
- Send 'done' message when streaming completes
- Maintain conversation history across multiple messages
- Add error handling with 'error' message type
- Add message protocol validation test
Implements Tasks 3 & 4 from TASKS.md
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