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https://github.com/Monadical-SAS/reflector.git
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b461ebb488
- Import transcripts_chat router
- Register /v1/transcripts/{id}/chat endpoint
- Completes LLM streaming integration (fn-1.3)
26 lines
781 B
Markdown
26 lines
781 B
Markdown
# fn-1.3 LLM streaming integration
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## Description
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TBD
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## Acceptance
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- [ ] TBD
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## Done summary
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- Added LLM streaming integration to transcript chat WebSocket endpoint
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- Configured LLM with temperature 0.7 using llama-index Settings
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- Built system message with WebVTT transcript context (15k char limit)
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- Implemented conversation history management with ChatMessage objects
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- Stream LLM responses using Settings.llm.astream_chat()
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- Send tokens incrementally via WebSocket 'token' messages
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- Added 'done' message after streaming completes
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- Error handling with 'error' message type
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Verification:
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- Code matches task spec requirements
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- WebSocket message protocol implemented (message/token/done/error)
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- Route registered in app.py
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## Evidence
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- Commits: ae85f5d3
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- Tests:
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- PRs: |